pax_global_header00006660000000000000000000000064151416256510014520gustar00rootroot0000000000000052 comment=2ab96f98f98274d07ebfdfd66e4f021723179706 pyperformance-1.14.0/000077500000000000000000000000001514162565100144555ustar00rootroot00000000000000pyperformance-1.14.0/.github/000077500000000000000000000000001514162565100160155ustar00rootroot00000000000000pyperformance-1.14.0/.github/ISSUE_TEMPLATE.md000066400000000000000000000023301514162565100205200ustar00rootroot00000000000000Hi! :wave: Thanks for using the Python Performance Benchmark Suite. ## Step 1 - Questions If you have a general question about how to use something or how to run benchmarks, please ask on the https://mail.python.org/pipermail/speed/ mailing list. The GitHub issue tracker should only be used to report bugs. Thanks. ## Step 2 - Use the search tool If you are reporting an issue, please take a moment to check GitHub and our documentation to see if we've already answered a similar issue or have available help in our documentation: - Please use the [GitHub issue search feature](https://help.github.com/articles/searching-issues/) to check if your issue has been filed already. If it has, please add your comments to the existing issue. [GitHub Help on Search](https://help.github.com/articles/searching-issues/) - [Search documentation](http://pyperformance.readthedocs.io/). ## Step 3 - File an issue Where applicable, please fill out the details below to help us troubleshoot the issue that you are facing. :cake: **How to reproduce the issue** **What you expected to happen** **What actually happens** ### Step 4 - Thanks Thanks for filling this out! The community can be more helpful with this information. :+1: pyperformance-1.14.0/.github/dependabot.yml000066400000000000000000000006141514162565100206460ustar00rootroot00000000000000version: 2 updates: - package-ecosystem: "github-actions" directory: "/" schedule: interval: monthly groups: actions: patterns: - "*" cooldown: default-days: 7 - package-ecosystem: "pip" directory: "/" exclude-paths: - "pyperformance/data-files/**" schedule: interval: "monthly" cooldown: default-days: 7 pyperformance-1.14.0/.github/workflows/000077500000000000000000000000001514162565100200525ustar00rootroot00000000000000pyperformance-1.14.0/.github/workflows/lint.yml000066400000000000000000000004521514162565100215440ustar00rootroot00000000000000name: Lint on: [push, pull_request, workflow_dispatch] permissions: {} env: FORCE_COLOR: 1 RUFF_OUTPUT_FORMAT: github jobs: lint: runs-on: ubuntu-latest steps: - uses: actions/checkout@v6 with: persist-credentials: false - uses: j178/prek-action@v1 pyperformance-1.14.0/.github/workflows/main.yml000066400000000000000000000050041514162565100215200ustar00rootroot00000000000000name: test on: push: pull_request: schedule: # Midnight UTC: - cron: "0 0 * * *" workflow_dispatch: jobs: test: runs-on: ${{ matrix.os }} permissions: pull-requests: write name: ${{ matrix.os }} - ${{ matrix.python }} ${{ matrix.build }} if: ${{ github.event_name != 'schedule' || (github.repository == 'python/pyperformance' && github.event_name == 'schedule') }} strategy: fail-fast: false matrix: # Test all supported versions on Ubuntu: os: [ubuntu-latest, ubuntu-24.04-arm] python: ["3.10", "3.11", "3.12", "3.13", "3.14"] experimental: [false] build: [''] include: # As the experimental task for the dev version. - os: ubuntu-latest python: "3.14" experimental: true build: 'free-threading' - os: ubuntu-24.04-arm python: "3.14" experimental: true build: 'free-threading' - os: ubuntu-latest python: "3.15-dev" experimental: true - os: ubuntu-latest python: "3.15-dev" experimental: true build: 'free-threading' # Also test PyPy, macOS, and Windows: - os: ubuntu-latest python: pypy-3.11 experimental: false - os: macos-latest python: "3.14" experimental: true - os: windows-latest python: "3.14" experimental: false steps: - uses: actions/checkout@v6 - name: Set up Python ${{ matrix.python }} uses: actions/setup-python@v6 if: "!endsWith(matrix.python, '-dev')" with: python-version: ${{ matrix.python }} - name: Set up Python ${{ matrix.python }} using deadsnakes uses: deadsnakes/action@v3.2.0 if: "endsWith(matrix.python, '-dev')" with: python-version: ${{ matrix.python }} nogil: ${{ matrix.build == 'free-threading' }} - name: Install # pyperformance must be installed: # pyperformance/tests/test_compare.py imports it run: | python -m pip install --upgrade pip setuptools python -m pip install -e . - name: Display Python version run: | python -VV python -c 'import sysconfig; print("Free threading?", "Yes" if sysconfig.get_config_var("Py_GIL_DISABLED") else "No")' - name: Run Tests id: pyperformance run: python -u -m pyperformance.tests continue-on-error: ${{ matrix.experimental }} pyperformance-1.14.0/.github/workflows/mypy.yml000066400000000000000000000011201514162565100215650ustar00rootroot00000000000000name: mypy on: [push, pull_request, workflow_dispatch] permissions: contents: read env: FORCE_COLOR: 1 TERM: xterm-256color # needed for FORCE_COLOR to work on mypy on Ubuntu, see https://github.com/python/mypy/issues/13817 jobs: mypy: name: Check code with mypy runs-on: ubuntu-latest steps: - uses: actions/checkout@v6 - uses: actions/setup-python@v6 with: cache: "pip" cache-dependency-path: "pyproject.toml" python-version: "3.11" - run: pip install -e .[dev] - run: pip freeze --all - run: mypy pyperformance-1.14.0/.github/workflows/publish.yml000066400000000000000000000015171514162565100222470ustar00rootroot00000000000000# For more information, see the "Release a new version" notes in pyproject.toml. name: Upload Python Package on: release: types: [published] jobs: deploy: runs-on: ubuntu-latest permissions: # IMPORTANT: this permission is mandatory for trusted publishing id-token: write steps: - uses: actions/checkout@v6 - name: Set up Python uses: actions/setup-python@v6 with: python-version: '3.x' cache: pip cache-dependency-path: pyproject.toml - name: Install dependencies run: | python -m pip install --upgrade build - name: Build run: | python -m build - name: Publish distribution 📦 to PyPI if: startsWith(github.event.ref, 'refs/tags') || github.event_name == 'release' uses: pypa/gh-action-pypi-publish@release/v1 pyperformance-1.14.0/.gitignore000066400000000000000000000005361514162565100164510ustar00rootroot00000000000000# Python cached bytecode files *.pyc *.pyo *.pyd # Temporary files, usually created by text editors (vim) *.swp *~ # Created by setup.py sdist build/ dist/ pyperformance.egg-info/ # Created by the pyperformance script venv/ .venvs/ # Create during tests pyperformance/tests/data/cpython/ # Created by the tox program .tox/ # coverage .coverage pyperformance-1.14.0/.pre-commit-config.yaml000066400000000000000000000010321514162565100207320ustar00rootroot00000000000000exclude: ^pyperformance/data-files/ repos: - repo: https://github.com/astral-sh/ruff-pre-commit rev: v0.13.1 hooks: - id: ruff-check name: Run Ruff (lint) args: [--exit-non-zero-on-fix] - id: ruff-format name: Run Ruff (format) args: [--exit-non-zero-on-fix] - repo: https://github.com/tox-dev/pyproject-fmt rev: v2.6.0 hooks: - id: pyproject-fmt - repo: https://github.com/abravalheri/validate-pyproject rev: v0.24.1 hooks: - id: validate-pyproject pyperformance-1.14.0/.readthedocs.yaml000066400000000000000000000003331514162565100177030ustar00rootroot00000000000000# Read the Docs configuration file # See https://docs.readthedocs.io/en/stable/config-file/v2.html for details version: 2 build: os: ubuntu-lts-latest tools: python: "3" sphinx: configuration: doc/conf.py pyperformance-1.14.0/AUTHORS000066400000000000000000000011371514162565100155270ustar00rootroot00000000000000Alex Gaynor Alexandre Vassalotti Antoine Pitrou Anuj Gupta Benjamin Peterson Bobby Impollonia Brett Cannon Collin Winter David Laing David Malcolm Dmitry Jemerov Florin Papa Georg Brandl James Abbatiello Jeffrey Yasskin Maciej Fijalkowski Reid Klecker Robert Grimm Skip Montanaro Stefan Behnel Thomas Wouters Victor Stinner Zachary Ware pyperformance-1.14.0/BENCHMARKS_FORMAT.md000066400000000000000000000000371514162565100174640ustar00rootroot00000000000000See doc/custom_benchmarks.rst. pyperformance-1.14.0/COPYING000066400000000000000000000020201514162565100155020ustar00rootroot00000000000000The MIT License Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. pyperformance-1.14.0/MANIFEST.in000066400000000000000000000014061514162565100162140ustar00rootroot00000000000000include AUTHORS include COPYING include MANIFEST.in include README.rst include TODO.rst include requirements.in include requirements.txt include doc/*.rst doc/images/*.png doc/images/*.jpg include doc/conf.py doc/Makefile doc/make.bat include pyperformance/*.py include pyperformance/requirements/requirements.txt include pyperformance/data-files/benchmarks/MANIFEST include pyperformance/data-files/benchmarks/bm_*/*.toml include pyperformance/data-files/benchmarks/bm_*/*.py include pyperformance/data-files/benchmarks/bm_*/requirements.txt include pyperformance/data-files/benchmarks/bm_*/*.pem recursive-include pyperformance/data-files/benchmarks/bm_*/vendor * recursive-include pyperformance/data-files/benchmarks/bm_*/data * recursive-exclude pyperformance/tests * pyperformance-1.14.0/README.rst000066400000000000000000000022221514162565100161420ustar00rootroot00000000000000########################## The Python Benchmark Suite ########################## .. image:: https://img.shields.io/pypi/v/pyperformance.svg :alt: Latest pyperformance release on the Python Cheeseshop (PyPI) :target: https://pypi.python.org/pypi/pyperformance .. image:: https://github.com/python/pyperformance/actions/workflows/main.yml/badge.svg :alt: Build status of pyperformance on GitHub Actions :target: https://github.com/python/pyperformance/actions The ``pyperformance`` project is intended to be an authoritative source of benchmarks for all Python implementations. The focus is on real-world benchmarks, rather than synthetic benchmarks, using whole applications when possible. * `pyperformance documentation `_ * `pyperformance GitHub project `_ (source code, issues) * `Download pyperformance on PyPI `_ pyperformance is not tuned for PyPy yet: use the `PyPy benchmarks project `_ instead to measure PyPy performances. pyperformance is distributed under the MIT license. pyperformance-1.14.0/TODO.rst000066400000000000000000000103451514162565100157570ustar00rootroot00000000000000TODO ==== * Remove genshi module? Last release in January 2014! * upload: - add Q1 and Q3: keys 'q1' and 'q3' - "description" * bm_python_startup: add again python metadata, to get back the Python version in benchmark suite metadata. Same for bm_hg_startup. * Remove compare command or reimplement it using pyperf compare_to * Add a --log option to create a log file. Use the logging module and replace print() with logger.error(). * Write a test to ensure that benchmarks listed in groups exist * Decide if sqlalchemy benchmarks should only benchmark SELECT ALL or INSERT+SELECT? * Run pep8 on Travis * compile: add metadata on compiler option, especially LTO and PGO flags Bugs on old CPython version =========================== * Python 3.5.0beta2: SyntaxError in parse() of chameleon/astutil.py, on parsing "def func(target):". Failed commits: * CPython 8a8f453c5a6d * Skip bm_django_template on Python 3 older than 3.4: Python 3.3.6 final: django_template: django/utils/module_loading.py: "from importlib.util import find_spec as importlib_find" ImportError: cannot import name find_spec CPython 75e3630c6071 * sympy uses deprecated inspect.getargspec(), function removed from 3.6a0 then reintroduced. TODO: fix sympy upstream? sympy: sympy/core/function.py "inspect.getargspec(cls.eval)" module 'inspect' has no attribute 'getargspec' CPython 0d30940dd256 numpy benchmarks? ================= * https://morepypy.blogspot.fr/2016/11/vectorization-extended-powerpc-and-s390x.html * https://bitbucket.org/plan_rich/numpy-benchmark fork of https://bitbucket.org/mikefc/numpy-benchmark/src to use pyperf Port PyPy benchmarks ==================== Repository: https://bitbucket.org/pypy/benchmarks/ Different from pyperformance? * json_bench Todo: * pypy_interp * pyxl_bench PyPI version 1.0: https://pypi.python.org/pypi/pyxl (2012) Old repo: https://github.com/awable/pyxl (last commit: Feb 2013) Python2: https://github.com/dropbox/pyxl (latest commit: Aug 2016) Python3: https://github.com/gvanrossum/pyxl3 (latest commit: Apr 2016) * sphinx benchmarks.py: invoke sphinx-build.py on lib/cpython-doc/ cpython-doc/: 24 MB * trans2_annotate * trans2_backendopt * trans2_database * trans2_rtype * trans2_source * twisted_iteration * twisted_names * twisted_pb * twisted_tcp Deliberate choice to not add it: * eparse: https://pypi.python.org/pypi/Monte 0.0.11 was released in 2013, no tarball on PyPI, only on SourceForge * krakatau: https://github.com/Storyyeller/Krakatau is not on PyPI, but it seems actively developed * slowspitfire, spitfire, spitfire_cstringio: not on PyPI * rietveld: not on PyPy Done: * ai (called bm_nqueens in pyperformance) * bm_chameleon * bm_mako * chaos * crypto_pyaes * deltablue * django (called django_template in pyperformance) * dulwich_log * fannkuch * float * genshi_text * genshi_xml * go * hexiom2 * html5lib * mdp * meteor-contest * nbody_modified (called nbody in pyperformance) * nqueens * pidigits * pyflate-fast (called pyflate in pyperformance) * raytrace-simple (called raytrace in pyperformance) * richards * scimark_fft * scimark_lu * scimark_montecarlo * scimark_sor * scimark_sparsematmult * spectral-norm * sqlalchemy_declarative * sqlalchemy_imperative * sqlitesynth (called pyflate in sqlite_synth) * sympy_expand * sympy_integrate * sympy_str * sympy_sum * telco pyston benchmarks ================= Add benchmarks from the Pyston benchmark suite: https://github.com/dropbox/pyston-perf and convince Pyston to use pyperformance :-) TODO: - django_lexing - django_migrate - django_template2 - django_template3_10x - django_template3 - django_template - fasta (it's different than pyperformance "regex_dna") - interp2 - pyxl_bench_10x - pyxl_bench2_10x - pyxl_bench2 - pyxl_bench - sre_parse_parse - virtualenv_bench2 - virtualenv_bench Done: - chaos - deltablue - fannkuch, fannkuch_med - nbody - pidigits: pyston has a flat implementation, single function - raytrace, raytrace_small: use "--width=80 --height=60" cmdline option to get raytrace_small profile - richards - sqlalchemy_imperative, sqlalchemy_imperative2, sqlalchemy_imperative2_10x: use --rows cmdline option to control the number of SQL rows - sre_compile_ubench: pyperformance has a much more complete benchmark on regex pyperformance-1.14.0/benchmarks000077700000000000000000000000001514162565100254332pyperformance/data-files/benchmarksustar00rootroot00000000000000pyperformance-1.14.0/dev.py000066400000000000000000000053461514162565100156150ustar00rootroot00000000000000# A script for running pyperformance out of the repo in dev-mode. import os.path import sys REPO_ROOT = os.path.dirname(os.path.abspath(__file__)) VENVS = os.path.join(REPO_ROOT, ".venvs") def resolve_venv_root(kind="dev", venvsdir=VENVS): import sysconfig if sysconfig.is_python_build(): sys.exit("please install your built Python first (or pass it using --python)") # XXX Handle other implementations too? base = os.path.join(venvsdir, kind or "dev") major, minor = sys.version_info[:2] pyloc = ( (os.path.abspath(sys.executable)).partition(os.path.sep)[2].lstrip(os.path.sep) ).replace(os.path.sep, "-") return f"{base}-{major}.{minor}-{pyloc}" def ensure_venv_ready(venvroot=None, kind="dev", venvsdir=VENVS): if sys.prefix != sys.base_prefix: assert os.path.exists(os.path.join(sys.prefix, "pyvenv.cfg")) venvroot = sys.prefix python = sys.executable readyfile = os.path.join(sys.prefix, "READY") isready = os.path.exists(readyfile) else: import venv if not venvroot: venvroot = resolve_venv_root(kind, venvsdir) # Make sure the venv exists. readyfile = os.path.join(venvroot, "READY") isready = os.path.exists(readyfile) if not isready: relroot = os.path.relpath(venvroot) if not os.path.exists(venvroot): print(f"creating venv at {relroot}...") else: print(f"venv {relroot} not ready, re-creating...") venv.create(venvroot, with_pip=True, clear=True) else: assert os.path.exists(os.path.join(venvroot, "pyvenv.cfg")) # Return the venv's Python executable. binname = "Scripts" if os.name == "nt" else "bin" exename = os.path.basename(sys.executable) python = os.path.join(venvroot, binname, exename) # Now make sure the venv has pyperformance installed. if not isready: import subprocess relroot = os.path.relpath(venvroot) print(f"venv {relroot} not ready, installing dependencies...") proc = subprocess.run( [python, "-m", "pip", "install", "--upgrade", "--editable", REPO_ROOT], ) if proc.returncode != 0: sys.exit("ERROR: install failed") with open(readyfile, "w"): pass print("...venv {relroot} ready!") return venvroot, python def main(venvroot=None): _, python = ensure_venv_ready(venvroot) if python != sys.executable: # Now re-run using the venv. os.execv(python, [python, *sys.argv]) # # Now run pyperformance. import pyperformance.cli pyperformance.cli.main() if __name__ == "__main__": main() pyperformance-1.14.0/doc/000077500000000000000000000000001514162565100152225ustar00rootroot00000000000000pyperformance-1.14.0/doc/Makefile000066400000000000000000000011641514162565100166640ustar00rootroot00000000000000# Minimal makefile for Sphinx documentation # # You can set these variables from the command line. SPHINXOPTS = SPHINXBUILD = sphinx-build SPHINXPROJ = PythonPerformanceBenchmarkSuite SOURCEDIR = . BUILDDIR = build # Put it first so that "make" without argument is like "make help". help: @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) .PHONY: help Makefile # Catch-all target: route all unknown targets to Sphinx using the new # "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). %: Makefile @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) pyperformance-1.14.0/doc/benchmark.conf000066400000000000000000000003071514162565100200230ustar00rootroot00000000000000[config] json_dir = ~/prog/python/bench_json [scm] repo_dir = ~/prog/python/master update = True [compile] bench_dir = ~/prog/python/bench_tmpdir [run_benchmark] system_tune = True affinity = 2,3 pyperformance-1.14.0/doc/benchmark.conf.sample000066400000000000000000000073301514162565100213060ustar00rootroot00000000000000[config] # Directory where JSON files are written. # - uploaded files are moved to json_dir/uploaded/ # - results of patched Python are written into json_dir/patch/ json_dir = ~/json # If True, compile CPython in debug mode (LTO and PGO disabled), # run benchmarks with --debug-single-sample, and disable upload. # # Use this option to quickly test a configuration. debug = False [scm] # Directory of CPython source code (Git repository) repo_dir = ~/cpython # Update the Git repository (git fetch)? update = True # Name of the Git remote, used to create revision of # the Git branch. For example, use revision 'remotes/origin/3.6' # for the branch '3.6'. git_remote = remotes/origin [compile] # Create files into bench_dir: # - bench_dir/bench-xxx.log # - bench_dir/prefix/: where Python is installed # - bench_dir/venv/: Virtual environment used by pyperformance bench_dir = ~/bench_tmpdir # Link Time Optimization (LTO)? lto = True # Profiled Guided Optimization (PGO)? pgo = True # Build the experimental just-in-time (JIT) compiler? # Possible values are: # - no: (default) do not build the JIT or the micro-op interpreter. # The new PYTHON_JIT environment variable has no effect. # - yes: build the JIT and enable it by default. PYTHON_JIT=0 can be used to # disable it at runtime. # - yes-off: build the JIT, but do not enable it by default. PYTHON_JIT=1 can # be used to enable it at runtime. # - interpreter: do not build the JIT, but do build and enable the micro-op # interpreter. This is useful for those of us who find ourselves developing # or debugging micro-ops (but don’t want to deal with the JIT). # PYTHON_JIT=0 can be used to disable the micro-op interpreter at runtime. jit = no # The space-separated list of libraries that are package-only, # i.e., locally installed but not on header and library paths. # For each such library, determine the install path and add an # appropriate subpath to CFLAGS and LDFLAGS declarations passed # to configure. As an exception, the prefix for openssl, if that # library is present here, is passed via the --with-openssl # option. Currently, this only works with Homebrew on macOS. # If running on macOS with Homebrew, you probably want to use: # pkg_only = openssl readline sqlite3 xz zlib # The version of zlib shipping with macOS probably works as well, # as long as Apple's SDK headers are installed. pkg_only = # Install Python? If false, run Python from the build directory # # WARNING: Running Python from the build directory introduces subtle changes # compared to running an installed Python. Moreover, creating a virtual # environment using a Python run from the build directory fails in many cases, # especially on Python older than 3.4. Only disable installation if you # really understand what you are doing! install = True # Specify '-j' parameter in 'make' command jobs = 8 [run_benchmark] # Run "sudo python3 -m pyperf system tune" before running benchmarks? system_tune = True # --manifest option for 'pyperformance run' manifest = # --benchmarks option for 'pyperformance run' benchmarks = # --affinity option for 'pyperf system tune' and 'pyperformance run' affinity = # Upload generated JSON file? # # Upload is disabled on patched Python, in debug mode or if install is # disabled. upload = False # --rigorous option for 'pyperformance run' rigorous = False # Configuration to upload results to a Codespeed website [upload] url = environment = executable = project = [compile_all] # List of CPython Git branches branches = default 3.6 3.5 2.7 # List of revisions to benchmark by compile_all [compile_all_revisions] # list of 'sha1=' (default branch: 'master') or 'sha1=branch' # used by the "pyperformance compile_all" command # e.g.: 11159d2c9d6616497ef4cc62953a5c3cc8454afb = pyperformance-1.14.0/doc/benchmarks.rst000066400000000000000000000515671514162565100201070ustar00rootroot00000000000000++++++++++ Benchmarks ++++++++++ Also see :doc:`custom_benchmarks` regarding how to create your own benchmarks or use someone else's. Available Groups ================ Like individual benchmarks (see "Available benchmarks" below), benchmarks group are allowed after the `-b` option. Use ``python3 -m pyperformance list_groups`` to list groups and their benchmarks. Available benchmark groups: * ``all``: Group including all benchmarks * ``apps``: "High-level" applicative benchmarks (2to3, Chameleon, Tornado HTTP) * ``default``: Group of benchmarks run by default by the ``run`` command * ``math``: Float and integers * ``regex``: Collection of regular expression benchmarks * ``serialize``: Benchmarks on ``pickle`` and ``json`` modules * ``startup``: Collection of microbenchmarks focused on Python interpreter start-up time. * ``template``: Templating libraries Use the ``python3 -m pyperformance list_groups`` command to list groups and their benchmarks. Available Benchmarks ==================== In pyperformance 0.5.5, the following microbenchmarks have been removed because they are too short, not representative of real applications and are too unstable. - ``call_method_slots`` - ``call_method_unknown`` - ``call_method`` - ``call_simple`` - ``pybench`` 2to3 ---- Run the 2to3 tool on the ``pyperformance/benchmarks/data/2to3/`` directory: copy of the ``django/core/*.py`` files of Django 1.1.4, 9 files. Run the ``python -m lib2to3 -f all `` command where ``python`` is ``sys.executable``. So the test does not only mesure the performance of Python itself, but also the performance of the ``lib2to3`` module which can change depending on the Python version. .. note:: Files are called ``.py.txt`` instead of ``.py`` to not run PEP 8 checks on them, and more generally to not modify them. async_tree ---------- Async workload benchmark, which calls ``asyncio.gather()`` on a tree (6 levels deep, 6 branches per level) with the leaf nodes simulating some [potentially] async work (depending on the benchmark variant). Available variants: * ``async_tree``: no actual async work at any leaf node. * ``async_tree_io``: all leaf nodes simulate async IO workload (async sleep 50ms). * ``async_tree_memoization``: all leaf nodes simulate async IO workload with 90% of the data memoized. * ``async_tree_cpu_io_mixed``: half of the leaf nodes simulate CPU-bound workload (``math.factorial(500)``) and the other half simulate the same workload as the ``async_tree_memoization`` variant. These benchmarks also have an "eager" flavor that uses asyncio eager task factory, if available. base64 ------ Benchmark the ``base64`` module's encoding and decoding functions. Each algorithm has ``_small`` and ``_large`` variants that test both encode and decode in a single benchmark: * ``_small``: Balanced iterations across 20B, 127B, 3KiB, and 9KB data sizes more likely to show the impact of overhead. * ``_large``: Large data focus with 100KiB and ~1MiB data sizes likely to demonstrate implementation efficiency. Available benchmarks: * ``base64_small``, ``base64_large``: Standard Base64 encoding and decoding * ``urlsafe_base64_small``: URL-safe Base64 (small only, as URLs shouldn't contain huge data) * ``base32_small``, ``base32_large``: Base32 encoding and decoding * ``base16_small``, ``base16_large``: Base16/hex encoding and decoding * ``ascii85_small``, ``ascii85_large``: Ascii85 encoding and decoding (includes ``wrapcol=76`` code path) * ``base85_small``, ``base85_large``: Base85 encoding and decoding See the `base64 module `_. chameleon --------- Render a template using the ``chameleon`` module to create an HTML table of 500 lignes and 10 columns. See the ``chameleon.PageTemplate`` class. chaos ----- Create chaosgame-like fractals. Command lines options:: --thickness THICKNESS Thickness (default: 0.25) --width WIDTH Image width (default: 256) --height HEIGHT Image height (default: 256) --iterations ITERATIONS Number of iterations (default: 5000) --filename FILENAME.PPM Output filename of the PPM picture --rng-seed RNG_SEED Random number generator seed (default: 1234) When ``--filename`` option is used, the timing includes the time to create the PPM file. Copyright (C) 2005 Carl Friedrich Bolz .. image:: images/bm_chaos.png :alt: Chaos game, bm_chaos benchmark Image generated by bm_chaos (took 3 sec on CPython 3.5) with the command:: python3 pyperformance/benchmarks/bm_chaos.py --worker -l1 -w0 -n1 --filename chaos.ppm --width=512 --height=512 --iterations 50000 crypto_pyaes ------------ benchmark a pure-Python implementation of the AES block-cipher in CTR mode using the ``pyaes`` module. The benchmark is slower on CPython 3 compared to CPython 2.7, because CPython 3 has no more "small int" type (``int``). The CPython 3 ``int`` type now always has an arbitrary size, as CPython 2.7 ``long`` type. See `pyaes `_: A pure-Python implementation of the AES block cipher algorithm and the common modes of operation (CBC, CFB, CTR, ECB and OFB). deepcopy -------- Benchmark the Python `copy.deepcopy` method. The `deepcopy` method is performed on a nested dictionary and a dataclass. deltablue --------- DeltaBlue benchmark Ported for the PyPy project. Contributed by Daniel Lindsley This implementation of the DeltaBlue benchmark was directly ported from the `V8's source code `_, which was in turn derived from the Smalltalk implementation by John Maloney and Mario Wolczko. The original Javascript implementation was licensed under the GPL. It's been updated in places to be more idiomatic to Python (for loops over collections, a couple magic methods, ``OrderedCollection`` being a list & things altering those collections changed to the builtin methods) but largely retains the layout & logic from the original. (Ugh.) django_template --------------- Use the Django template system to build a 150x150-cell HTML table. Use ``Context`` and ``Template`` classes of the ``django.template`` module. dulwich_log ----------- Iterate on commits of the asyncio Git repository using the Dulwich module. Use ``pyperformance/benchmarks/data/asyncio.git/`` repository. Pseudo-code of the benchmark:: repo = dulwich.repo.Repo(repo_path) head = repo.head() for entry in repo.get_walker(head): pass See the `Dulwich project `_. docutils -------- Use Docutils_ to convert Docutils' documentation to HTML. Representative of building a medium-sized documentation set. .. _Docutils: https://docutils.sourceforge.io/ fannkuch -------- The Computer Language Benchmarks Game: http://benchmarksgame.alioth.debian.org/ Contributed by Sokolov Yura, modified by Tupteq. float ----- Artificial, floating point-heavy benchmark originally used by Factor. Create 100,000 point objects which compute ``math.cos()``, ``math.sin()`` and ``math.sqrt()`` .. versionchanged:: 0.5.5 Use ``__slots__`` on the Point class to focus the benchmark on float rather than testing performance of class attributes. genshi ------ Render a template using Genshi (``genshi.template`` module): * ``genshi_text``: Render a HTML template using the ``NewTextTemplate`` class * ``genshi_xml``: Render an XML template using the ``MarkupTemplate`` class See the `Genshi project `_. go -- Artificial intelligence playing the Go board game. Use `Zobrist hashing `_. hexiom ------ Solver of Hexiom board game (level 25 by default). Command line option:: --level {2,10,20,25,30,36} Hexiom board level (default: 25) hg_startup ---------- Get Mercurial's help screen. Measure the performance of the ``python path/to/hg help`` command using ``pyperf.Runner.bench_command()``, where ``python`` is ``sys.executable`` and ``path/to/hg`` is the Mercurial program installed in a virtual environmnent. The ``bench_command()`` redirects stdout and stderr into ``/dev/null``. See the `Mercurial project `_. html5lib -------- Parse the ``pyperformance/benchmarks/data/w3_tr_html5.html`` HTML file (132 KB) using ``html5lib``. The file is the HTML 5 specification, but truncated to parse the file in less than 1 second (around 250 ms). On CPython, after 3 warmups, the benchmarks enters a cycle of 5 values: every 5th value is 10% slower. Plot of 1 run of 50 values (the warmup is not rendered): .. image:: images/html5lib.png :alt: html5lib values See the `html5lib project `_. json_dumps, json_loads ---------------------- Benchmark ``dumps()`` and ``loads()`` functions of the ``json`` module. ``bm_json_dumps.py`` command line option:: --cases CASES Comma separated list of cases. Available cases: EMPTY, SIMPLE, NESTED, HUGE. By default, run all cases. logging ------- Benchmarks on the ``logging`` module: * ``logging_format``: Benchmark ``logger.warn(fmt, str)`` * ``logging_simple``: Benchmark ``logger.warn(msg)`` * ``logging_silent``: Benchmark ``logger.debug(msg)`` when the log is ignored Script command line option:: format silent simple See the `logging module `_. mako ---- Use the Mako template system to build a 150x150-cell HTML table. Includes: * two template inherences * HTML escaping, XML escaping, URL escaping, whitespace trimming * function defitions and calls * forloops See the `Mako project `_. mdp --- Battle with damages and topological sorting of nodes in a graph. See `Topological sorting `_. meteor_contest -------------- Solver for Meteor Puzzle board. Meteor Puzzle board: http://benchmarksgame.alioth.debian.org/u32/meteor-description.html#meteor The Computer Language Benchmarks Game: http://benchmarksgame.alioth.debian.org/ Contributed by Daniel Nanz, 2008-08-21. nbody ----- N-body benchmark from the Computer Language Benchmarks Game. Microbenchmark on floating point operations. This is intended to support Unladen Swallow's perf.py. Accordingly, it has been modified from the Shootout version: - Accept standard Unladen Swallow benchmark options. - Run report_energy()/advance() in a loop. - Reimplement itertools.combinations() to work with older Python versions. Pulled from: http://benchmarksgame.alioth.debian.org/u64q/program.php?test=nbody&lang=python3&id=1 Contributed by Kevin Carson. Modified by Tupteq, Fredrik Johansson, and Daniel Nanz. python_startup, python_startup_nosite ------------------------------------- * ``python_startup``: Measure the Python startup time, run ``python -c pass`` where ``python`` is ``sys.executable`` * ``python_startup_nosite``: Measure the Python startup time without importing the ``site`` module, run ``python -S -c pass`` where ``python`` is ``sys.executable`` Run the benchmark with ``pyperf.Runner.bench_command()``. nqueens ------- Simple, brute-force N-Queens solver. See `Eight queens puzzle `_. pathlib ------- Test the performance of operations of the ``pathlib`` module of the standard library. This benchmark stresses the creation of small objects, globbing, and system calls. See the `documentation of the pathlib module `_. pickle ------ pickle benchmarks (serialize): * ``pickle``: use the cPickle module to pickle a variety of datasets. * ``pickle_dict``: microbenchmark; use the cPickle module to pickle a lot of dicts. * ``pickle_list``: microbenchmark; use the cPickle module to pickle a lot of lists. * ``pickle_pure_python``: use the pure-Python pickle module to pickle a variety of datasets. unpickle benchmarks (deserialize): * ``unpickle``: use the cPickle module to unnpickle a variety of datasets. * ``unpickle_list`` * ``unpickle_pure_python``: use the pure-Python pickle module to unpickle a variety of datasets. pidigits -------- Calculating 2,000 digits of Ï€. This benchmark stresses big integer arithmetic. Command line option:: --digits DIGITS Number of computed pi digits (default: 2000) Adapted from code on: http://benchmarksgame.alioth.debian.org/ pyflate ------- Benchmark of a pure-Python bzip2 decompressor: decompress the ``pyperformance/benchmarks/data/interpreter.tar.bz2`` file in memory. Copyright 2006--2007-01-21 Paul Sladen: http://www.paul.sladen.org/projects/compression/ You may use and distribute this code under any DFSG-compatible license (eg. BSD, GNU GPLv2). Stand-alone pure-Python DEFLATE (gzip) and bzip2 decoder/decompressor. This is probably most useful for research purposes/index building; there is certainly some room for improvement in the Huffman bit-matcher. With the as-written implementation, there was a known bug in BWT decoding to do with repeated strings. This has been worked around; see 'bwt_reverse()'. Correct output is produced in all test cases but ideally the problem would be found... raytrace -------- Simple raytracer. Command line options:: --width WIDTH Image width (default: 100) --height HEIGHT Image height (default: 100) --filename FILENAME.PPM Output filename of the PPM picture This file contains definitions for a simple raytracer. Copyright Callum and Tony Garnock-Jones, 2008. This file may be freely redistributed under the MIT license, http://www.opensource.org/licenses/mit-license.php From https://leastfixedpoint.com/tonyg/kcbbs/lshift_archive/toy-raytracer-in-python-20081029.html .. image:: images/bm_raytrace.jpg :alt: Pure Python raytracer Image generated by the command (took 68.4 sec on CPython 3.5):: python3 pyperformance/benchmarks/bm_raytrace.py --worker --filename=raytrace.ppm -l1 -w0 -n1 -v --width=800 --height=600 regex_compile ------------- Stress the performance of Python's regex compiler, rather than the regex execution speed. Benchmark how quickly Python's regex implementation can compile regexes. We bring in all the regexes used by the other regex benchmarks, capture them by stubbing out the re module, then compile those regexes repeatedly. We muck with the re module's caching to force it to recompile every regex we give it. regex_dna --------- regex DNA benchmark using "fasta" to generate the test case. The Computer Language Benchmarks Game http://benchmarksgame.alioth.debian.org/ regex-dna Python 3 #5 program: contributed by Dominique Wahli 2to3 modified by Justin Peel fasta Python 3 #3 program: modified by Ian Osgood modified again by Heinrich Acker modified by Justin Peel Modified by Christopher Sean Forgeron regex_effbot ------------ Some of the original benchmarks used to tune mainline Python's current regex engine. regex_v8 -------- Python port of V8's regex benchmark. Automatically generated on 2009-01-30. This benchmark is generated by loading 50 of the most popular pages on the web and logging all regexp operations performed. Each operation is given a weight that is calculated from an estimate of the popularity of the pages where it occurs and the number of times it is executed while loading each page. Finally the literal letters in the data are encoded using ROT13 in a way that does not affect how the regexps match their input. Ported to Python for Unladen Swallow. The original JS version can be found at https://github.com/v8/v8/blob/master/benchmarks/regexp.js, r1243. richards -------- The classic Python Richards benchmark. Based on a Java version. Based on original version written in BCPL by Dr Martin Richards in 1981 at Cambridge University Computer Laboratory, England and a C++ version derived from a Smalltalk version written by L Peter Deutsch. Java version: Copyright (C) 1995 Sun Microsystems, Inc. Translation from C++, Mario Wolczko Outer loop added by Alex Jacoby scimark ------- * ``scimark_sor``: `Successive over-relaxation (SOR) `_ benchmark * ``scimark_sparse_mat_mult``: `sparse matrix `_ `multiplication `_ benchmark * ``scimark_monte_carlo``: benchmark on the `Monte Carlo algorithm `_ to compute the area of a disc * ``scimark_lu``: `LU decomposition `_ benchmark * ``scimark_fft``: `Fast Fourier transform (FFT) `_ benchmark spectral_norm ------------- MathWorld: "Hundred-Dollar, Hundred-Digit Challenge Problems", Challenge #3. http://mathworld.wolfram.com/Hundred-DollarHundred-DigitChallengeProblems.html The Computer Language Benchmarks Game http://benchmarksgame.alioth.debian.org/u64q/spectralnorm-description.html#spectralnorm Contributed by Sebastien Loisel. Fixed by Isaac Gouy. Sped up by Josh Goldfoot. Dirtily sped up by Simon Descarpentries. Concurrency by Jason Stitt. sqlalchemy_declarative, sqlalchemy_imperative --------------------------------------------- * ``sqlalchemy_declarative``: SQLAlchemy Declarative benchmark using SQLite * ``sqlalchemy_imperative``: SQLAlchemy Imperative benchmark using SQLite See the `SQLAlchemy project `_. sqlite_synth ------------ Benchmark Python aggregate for SQLite. The goal of the benchmark (written for PyPy) is to test CFFI performance and going back and forth between SQLite and Python a lot. Therefore the queries themselves are really simple. See the `SQLite project `_ and the `Python sqlite3 module (stdlib) `_. sympy ----- Benchmark on the ``sympy`` module: * ``sympy_expand``: Benchmark ``sympy.expand()`` * ``sympy_integrate``: Benchmark ``sympy.integrate()`` * ``sympy_str``: Benchmark ``str(sympy.expand())`` * ``sympy_sum``: Benchmark ``sympy.summation()`` On CPython, some ``sympy_sum`` values are 5%-10% slower:: $ python3 -m pyperf dump sympy_sum.json Run 1: 1 warmup, 50 values, 1 loop - warmup 1: 404 ms (+63%) - value 1: 244 ms - value 2: 245 ms - value 3: 258 ms <---- - value 4: 245 ms - value 5: 245 ms - value 6: 279 ms (+12%) <---- - value 7: 246 ms - value 8: 244 ms - value 9: 245 ms - value 10: 255 ms <---- - value 11: 245 ms - value 12: 245 ms - value 13: 256 ms <---- - value 14: 248 ms - value 15: 245 ms - value 16: 245 ms ... Plot of 1 run of 50 values (the warmup is not rendered): .. image:: images/sympy_sum.png :alt: sympy_sum values See the `sympy project `_. telco ----- Telco Benchmark for measuring the performance of decimal calculations: * http://speleotrove.com/decimal/telco.html * http://speleotrove.com/decimal/telcoSpec.html * A call type indicator, ``c``, is set from the bottom (least significant) bit of the duration (hence ``c`` is 0 or 1). * A rate, ``r``, is determined from the call type. Those calls with ``c=0`` have a low ``r``: ``0.0013``; the remainder (‘distance calls’) have a ‘premium’ ``r``: ``0.00894``. (The rates are, very roughly, in Euros or dollarates per second.) * A price, ``p``, for the call is then calculated (``p=r*n``). This is rounded to exactly 2 fractional digits using round-half-even (Banker’s round to nearest). * A basic tax, ``b``, is calculated: ``b=p*0.0675`` (6.75%). This is truncated to exactly 2 fractional digits (round-down), and the total basic tax variable is then incremented (``sumB=sumB+b``). * For distance calls: a distance tax, ``d``, is calculated: ``d=p*0.0341`` (3.41%). This is truncated to exactly 2 fractional digits (round-down), and then the total distance tax variable is incremented (``sumD=sumD+d``). * The total price, ``t``, is calculated (``t=p+b``, and, if a distance call, ``t=t+d``). * The total prices variable is incremented (``sumT=sumT+t``). * The total price, ``t``, is converted to a string, ``s``. The Python benchmark is implemented with the ``decimal`` module. See the `Python decimal module (stdlib) `_. tornado_http ------------ Benchmark HTTP server of the ``tornado`` module See the `Tornado project `_. unpack_sequence --------------- Microbenchmark for unpacking lists and tuples. Pseudo-code:: a, b, c, d, e, f, g, h, i, j = to_unpack where ``to_unpack`` is ``tuple(range(10))`` or ``list(range(10))``. xml_etree --------- Benchmark the ``ElementTree`` API of the ``xml.etree`` module: * ``xml_etree_generate``: Create an XML document * ``xml_etree_iterparse``: Benchmark ``etree.iterparse()`` * ``xml_etree_parse``: Benchmark ``etree.parse()`` * ``xml_etree_process``: Process an XML document See the `Python xml.etree.ElementTree module (stdlib) `_. pyperformance-1.14.0/doc/changelog.rst000066400000000000000000000541351514162565100177130ustar00rootroot00000000000000Changelog ========= Version 1.14.0 -------------- * Bump ``pyperf`` to 2.10.0 * Add base64 module benchmark (b64, b32, b16, a85, b85) * Add FastAPI HTTP benchmark * Add YAML parsing benchmark * Respect rigorous setting in benchmark configuration files Version 1.13.0 (2025-10-27) -------------- * Re-enable xdsl benchmark * Remove code for Python 3.7 and previous versions * CI updates: * fix workflow ubuntu-latest * remove unused Azure Pipelines config * update checkout version * setup dependabot * update setup-python version Version 1.12.0 (2025-10-24) -------------- * Add xdsl benchmark (but disabled by default due to a regression) * Add a new quadtree nbody simulation using the Barnes Hut algorithm * Add argparse benchmark * Add NetworkX benchmarks * Add Sphinx benchmark * Add decimal module benchmark * Add BPE tokeniser benchmark * Skip dask benchmark on Windows for Python 3.13 * Bump dask[distributed] to 2024.10.1 for Windows compatibility * Bump greenlet to 3.2.4 for compatibility with 3.13+ * Bump Chameleon to 4.6.0 * Bump tornado to 6.5.0 * Bump pyperf to 2.9.0 * Bump sqlglot to V2 * Bump mypy to 1.18.2 * Fix check for editable mode * Fix ``--same-loops`` handling * Fix: pass ``--warmup`` and ``--timeout`` flags to pyperf * Add ``-V``/``--version`` CLI argument * Add ``--hook`` CLI argument * Run ruff format and check under pre-commit and GitHub Actions * Add support for experimental JIT builds * Add Arm64 CI * Add Free-threading CI * Make Windows a non-experimental platform in CI * Add support Python 3.14 and drop Python 3.7, 3.8, 3.9 Version 1.11.0 (2024-03-09) -------------- * Add a --same-loops option to the run command to use the exact same number of loops as a previous run (without recalibrating). * Bump pyperf to 2.6.3 * Fix the django_template benchmark for compatibilty with 3.13 * Fix benchmark.conf.sample Version 1.10.0 (2023-10-22) -------------- * Add benchmark for asyncio_webockets * Expose --min-time from pyperf to pyperformance CLI * Bump coverage to 7.3.2 for compatibilty with 3.13 * Bump greenlet to 3.0.0rc3 for compatibilty with 3.13 Version 1.0.9 (2023-06-14) ------------- * Vendor lib2to3 for Python 3.13+ * Add TaskGroups variants to async_tree benchmarks Version 1.0.8 (2023-06-02) ------------- * Move the main requirements.txt file to pyperformance/requirements so that dependabot can only run on that one file * Update dependencies of benchmarks not to specify setuptools * On older versions of Python, skip benchmarks that use features introduced in newer Python versions * Support ``--inherit-environ`` when reusing a venv * Use tomllib/tomli over toml * Update MANIFEST.in to include cert files for asyncio_tcp_ssl benchmark * Fix undefined variable issue when raising VenvPipInstallFailedError * Add mypy config; run mypy in CI * Fix typo of str.partition from _pyproject_toml.py * Add version of Richards benchmark that uses super() * Add a benchmark for runtime-checkable protocols * Extend async tree benchmarks to cover eager task execution Version 1.0.7 (2023-04-22) ------------- * Upgrade pyperf from 2.5.0 to 2.6.0 * Clean unused imports and other small code details * Migrage to the pyproject.toml based project * Fix the django_template benchmark due to lack of distutils * Add benchmark for toml * Add benchmark for comprehensions * Add benchmark for asyncio_tcp_ssl * Add benchmark for asyncio_tcp * Add benchmark for Dask scheduler * Add the gc benchmarks to the MANIFEST file Version 1.0.6 (2022-11-20) ------------- * Upgrade pyperf from 2.4.1 to 2.5.0 * Add a benchmark to measure gc traversal * Add jobs field in compile section to specify make -j param * Add benchmark for Docutils * Add async_generators benchmark * Add benchmark for IPC * Fix Manifest Group * Fix installing dev build of pyperformance inside compile/compile_all * Always upload, even when some benchmarks fail * Add sqlglot benchmarks * Support reporting geometric mean by tags * Allow for specifying local wheels and sdists as dependencies * Add a benchmark based on `python -m pprint` * Add mdp back into the default group * Add coroutines benchmark * Reduce noise in generators benchmark * Add benchmark for deepcopy * Add coverage benchmark * Add generators benchmark * Add benchmark for async tree workloads * Support relative paths to manifest files * Add support for multiple benchmark groups in a manifest * Fix --inherit-environ issue * Use working Genshi 0.7.7 Version 1.0.4 (2022-01-25) ------------- * Re-release support for user-defined benchmark after fixing problem with virtual environments. Version 1.0.3 (2021-12-20) ------------- * Support user-defined benchmark suites. Version 1.0.2 (2021-05-11) ------------- * Disable the henshi benchmark temporarily since is no longer compatible with Python 3.11. * Reenable html5lib benchmark: html5lib 1.1 has been released. * Update requirements. * Replace Travis CI with GitHub Actions. * The development branch ``master`` was renamed to ``main``. See https://sfconservancy.org/news/2020/jun/23/gitbranchname/ for the rationale. Version 1.0.1 (2020-03-26) -------------------------- * Drop usage of the six module since Python 2 is no longer supported. Remove Python 2 specific code. * Update dependencies: * django: 3.0 => 3.0.4 * dulwich: 0.19.14 => 0.19.15 * mako: 1.1.0 = > 1.1.2 * mercurial: 5.1.1 => 5.3.1 * psutil: 5.6.7 => 5.7.0 * pyperf: 1.7.0 => 2.0.0 * sqlalchemy: 1.3.12 => 1.3.15 * sympy: 1.5 => 1.5.1 * tornado: 6.0.3 => 6.0.4 * Remove six, html5lib and mercurial requirements. * pip-tools (pip-compile) is now used to update dependencies Version 1.0.0 (2019-12-17) -------------------------- * Enable pyflate benchmarks on Python 3. * Remove ``spambayes`` benchmark: it is not compatible with Python 3. * Remove ``2n3``:benchmark group. * Drop Python 2.7 support: old Django and Tornado versions are not compatible with incoming Python 3.9. * Disable html5lib benchmark temporarily, since it's no longer compatible with Python 3.9. * Update requirements: * Django: 1.11.22 => 3.0 * Mako: 1.0.14 => 1.1.0 * SQLAlchemy: 1.3.6 => 1.3.12 * certifi: 2019.6.16 => 2019.11.28 * docutils: 0.15.1 => 0.15.2 * dulwich: 0.19.11 => 0.19.14 * mercurial: 5.0.2 => 5.1.1 * psutil: 5.6. => 5.6.7 * pyperf: 1.6.1 => 1.7.0 * six: 1.12. => 1.13.0 * sympy: 1.4 => 1.5 Version 0.9.1 (2019-07-29) -------------------------- * Enable hg_startup on Python 3 * Fix compatibility with Python 3.8 beta 2 * Update requirements: * certifi: 2019.3.9 => 2019.6.16 * Chameleon: 3.6.1 => 3.6.2 * Django: 1.11.20 => 1.11.22 * docutils: 0.14 => 0.15.1.post1 * Mako: 1.0.10 => 1.0.14 * mercurial: 5.0 => 5.0.2 * pathlib2: 2.3.3 => 2.3.4 * psutil: 5.6.2 => 5.6.3 * SQLAlchemy: 1.3.4 => 1.3.6 Version 0.9.0 (2019-05-29) -------------------------- * Project renamed from "performance" to "pyperformance" * Upgrade pyperf from version 1.6.0 to 1.6.1. The project has been renamed from "perf" to "pyperf". Update imports. * Issue #54: Update Genshi to 0.7.3. It is now compatible with Python 3.8. * Update requirements: * Mako: 1.0.9= > 1.0.10 * SQLAlchemy: 1.3.3 => 1.3.4 Version 0.8.0 (2019-05-10) -------------------------- * compile command: Add "pkg_only" option to benchmark.conf. Add support for native libraries that are installed but not on path. Patch by Robert Grimm. * Update Travis configuration: use trusty image, use pip cache. Patch by Inada Naoki. * Upgrade tornado to 5.1.1. Patch by Inada Naoki. * Fix compile command on Mac OS: no program extension. Patch by Anthony Shaw. * Update requirements: * Chameleon: 3.4 => 3.6.1 * Django: 1.11.16 => 1.11.20 * Genshi: 0.7.1 => 0.7.2 * Mako: 1.0.7 => 1.0.9 * MarkupSafe: 1.0 => 1.1.1 * SQLAlchemy: 1.2.12 => 1.3.3 * certifi: 2018.10.15 => 2019.3.9 * dulwich: 0.19.6 => 0.19.11 * mercurial: 4.7.2 => 5.0 * mpmath: 1.0.0 => 1.1.0 * pathlib2: 2.3.2 => 2.3.3 * perf: 1.5.1 => 1.6.0 * psutil: 5.4.7 => 5.6.2 * six: 1.11.0 => 1.12.0 * sympy: 1.3 => 1.4 * tornado: 4.5.3 => 5.1.1 Version 0.7.0 (2018-10-16) -------------------------- * python_startup: Add ``--exit`` option. * Update requirements: * certifi: 2017.11.5 => 2018.10.15 * Chameleon: 3.2 => 3.4 * Django: 1.11.9 => 1.11.16 * dulwich: 0.18.6 => 0.19.6 * Genshi: 0.7 => 0.7.1 * mercurial: 4.4.2 => 4.7.2 * pathlib2: 2.3.0 => 2.3.2 * psutil: 5.4.3 => 5.4.7 * SQLAlchemy: 1.2.0 => 1.2.12 * sympy: 1.1.1 => 1.3 * Fix issue #40 for pip 10 and newer: Remove indirect dependencies. Indirect dependencies were used to install cffi, but Mercurial 4.0 doesn't depend on cffi anymore. Version 0.6.1 (2018-01-11) -------------------------- * Fix inherit-environ: propagate to recursive invocations of ``performance`` in ``compile`` and ``compile_all`` commands. * Fix the ``--track-memory`` option thanks to the update to perf 1.5. * Update requirements - certifi: 2017.4.17 => 2017.11.5 - Chameleon: 3.1 => 3.2 - Django: 1.11.3 => 1.11.9 - docutils: 0.13.1 => 0.14 - dulwich: 0.17.3 => 0.18.6 - html5lib: 0.999999999 => 1.0.1 - Mako: 1.0.6 => 1.0.7 - mercurial: 4.2.2 => 4.4.2 - mpmath: 0.19 => 1.0.0 - perf: 1.4 => 1.5.1 (fix ``--track-memory`` option) - psutil: 5.2.2 => 5.4.3 - pyaes: 1.6.0 => 1.6.1 - six: 1.10.0 => 1.11.0 - SQLAlchemy: 1.1.11 => 1.2.0 - sympy: 1.0 => 1.1.1 - tornado: 4.5.1 => 4.5.3 Version 0.6.0 (2017-07-06) -------------------------- * Change ``warn`` to ``warning`` in `bm_logging.py`. In Python 3, Logger.warn() calls warnings.warn() to log a deprecation warning, so is slower than Logger.warning(). * Add again the ``logging_silent`` microbenchmark suite. * compile command: update the Git repository before getting the revision * Update requirements - perf: 1.3 => 1.4 (fix parse_cpu_list(): strip also NUL characters) - Django: 1.11.1 => 1.11.3 - mercurial: 4.2 => 4.2.2 - pathlib2: 2.2.1 => 2.3.0 - SQLAlchemy: 1.1.10 => 1.1.11 Version 0.5.5 (2017-05-29) -------------------------- * On the 2.x branch on CPython, ``compile`` now pass ``--enable-unicode=ucs4`` to the ``configure`` script on all platforms, except on Windows which uses UTF-16 because of its 16-bit wchar_t. * The ``float`` benchmark now uses ``__slots__`` on the ``Point`` class. * Remove the following microbenchmarks. They have been moved to the `pymicrobench `_ project because they are too short, not representative of real applications and are too unstable. - ``pybench`` microbenchmark suite - ``call_simple`` - ``call_method`` - ``call_method_unknown`` - ``call_method_slots`` - ``logging_silent``: values are faster than 1 ns on PyPy with 2^27 loops! (and around 0.7 us on CPython) * Update requirements - Django: 1.11 => 1.11.1 - SQLAlchemy: 1.1.9 => 1.1.10 - certifi: 2017.1.23 => 2017.4.17 - perf: 1.2 => 1.3 - mercurial: 4.1.2 => 4.2 - tornado: 4.4.3 => 4.5.1 Version 0.5.4 (2017-04-10) -------------------------- * Create a new documentation at: http://pyperformance.readthedocs.io/ * Add "CPython results, 2017" to the doc: significant performance changes, significant optimizations, timeline, etc. * The ``show`` command doesn't need to create a virtual env anymore. * Add new commands: - ``pyperformance compile``: compile, install and benchmark - ``pyperformance compile_all``: benchmark multiple branches and revisions of Python - ``pyperformance upload``: upload a JSON file to a Codespeed * setup.py: add dependencies to ``perf`` and ``six`` modules. * bm_xml_etree now uses "_pure_python" in benchmark names if the accelerator is explicitly disabled. * Upgrade requirements: - Django: 1.10.6 -> 1.11 - SQLAlchemy: 1.1.6 -> 1.1.9 - mercurial: 4.1.1 -> 4.1.2 - perf: 1.1 => 1.2 - psutil: 5.2.1 -> 5.2.2 - tornado: 4.4.2 -> 4.4.3 - webencodings: 0.5 -> 0.5.1 * perf 1.2 now calibrates the number of warmups on PyPy. * On Python 3.5a0: force pip 7.1.2 and setuptools 18.5: https://sourceforge.net/p/pyparsing/bugs/100/ Version 0.5.3 (2017-03-27) -------------------------- * Upgrade Dulwich to 0.17.3 to support PyPy older than 5.6: see https://github.com/jelmer/dulwich/issues/509 * Fix ResourceWarning warnings: close explicitly files and sockets. * scripts: replace Mercurial commands with Git commands. * Upgrade requirements: - dulwich: 0.17.1 => 0.17.3 - perf: 1.0 => 1.1 - psutil: 5.2.0 => 5.2.1 Version 0.5.2 (2017-03-17) -------------------------- * Upgrade requirements: - certifi: 2016.9.26 => 2017.1.23 - Chameleon: 3.0 => 3.1 - Django: 1.10.5 => 1.10.6 - MarkupSafe: 0.23 => 1.0 - dulwich: 0.16.3 => 0.17.1 - mercurial: 4.0.2 => 4.1.1 - pathlib2: 2.2.0 => 2.2.1 - perf: 0.9.3 => 1.0 - psutil: 5.0.1 => 5.2.0 - SQLAlchemy: 1.1.4 => 1.1.6 Version 0.5.1 (2017-01-16) -------------------------- * Fix Windows support (upgrade perf from 0.9.0 to 0.9.3) * Upgrade requirements: - Chameleon: 2.25 => 3.0 - Django: 1.10.3 => 1.10.5 - docutils: 0.12 => 0.13.1 - dulwich: 0.15.0 => 0.16.3 - mercurial: 4.0.0 => 4.0.2 - perf: 0.9.0 => 0.9.3 - psutil: 5.0.0 => 5.0.1 Version 0.5.0 (2016-11-16) -------------------------- * Add ``mdp`` benchmark: battle with damages and topological sorting of nodes in a graph * The ``default`` benchmark group now include all benchmarks but ``pybench`` * If a benchmark fails, log an error, continue to execute following benchmarks, but exit with error code 1. * Remove deprecated benchmarks: ``threading_threaded_count`` and ``threading_iterative_count``. It wasn't possible to run them anyway. * ``dulwich`` requirement is now optional since its installation fails on Windows. * Upgrade requirements: - Mako: 1.0.5 => 1.0.6 - Mercurial: 3.9.2 => 4.0.0 - SQLAlchemy: 1.1.3 => 1.1.4 - backports-abc: 0.4 => 0.5 Version 0.4.0 (2016-11-07) -------------------------- * Add ``sqlalchemy_imperative`` benchmark: it wasn't registered properly * The ``list`` command now only lists the benchmark that the ``run`` command will run. The ``list`` command gets a new ``-b/--benchmarks`` option. * Rewrite the code creating the virtual environment to test correctly pip. Download and run ``get-pip.py`` if pip installation failed. * Upgrade requirements: * perf: 0.8.2 => 0.9.0 * Django: 1.10.2 => 1.10.3 * Mako: 1.0.4 => 1.0.5 * psutil: 4.3.1 => 5.0.0 * SQLAlchemy: 1.1.2 => 1.1.3 * Remove ``virtualenv`` dependency Version 0.3.2 (2016-10-19) -------------------------- * Fix setup.py: include also ``performance/benchmarks/data/asyncio.git/`` Version 0.3.1 (2016-10-19) -------------------------- * Add ``regex_dna`` benchmark * The ``run`` command now fails with an error if no benchmark was run. * genshi, logging, scimark, sympy and xml_etree scripts now run all sub-benchmarks by default * Rewrite pybench using perf: remove the old legacy code to calibrate and run benchmarks, reuse perf.Runner API. * Change heuristic to create the virtual environment, tried commands: * ``python -m venv`` * ``python -m virtualenv`` * ``virtualenv -p python`` * The creation of the virtual environment now ensures that pip works to detect "python3 -m venv" which doesn't install pip. * Upgrade perf dependency from 0.7.12 to 0.8.2: update all benchmarks to the new perf 0.8 API (which introduces incompatible changes) * Update SQLAlchemy from 1.1.1 to 1.1.2 Version 0.3.0 (2016-10-11) -------------------------- New benchmarks: * Add ``crypto_pyaes``: Benchmark a pure-Python implementation of the AES block-cipher in CTR mode using the pyaes module (version 1.6.0). Add ``pyaes`` dependency. * Add ``sympy``: Benchmark on SymPy. Add ``scipy`` dependency. * Add ``scimark`` benchmark * Add ``deltablue``: DeltaBlue benchmark * Add ``dulwich_log``: Iterate on commits of the asyncio Git repository using the Dulwich module. Add ``dulwich`` (and ``mpmath``) dependencies. * Add ``pyflate``: Pyflate benchmark, tar/bzip2 decompressor in pure Python * Add ``sqlite_synth`` benchmark: Benchmark Python aggregate for SQLite * Add ``genshi`` benchmark: Render template to XML or plain text using the Genshi module. Add ``Genshi`` dependency. * Add ``sqlalchemy_declarative`` and ``sqlalchemy_imperative`` benchmarks: SQLAlchemy Declarative and Imperative benchmarks using SQLite. Add ``SQLAlchemy`` dependency. Enhancements: * ``compare`` command now fails if the performance versions are different * ``nbody``: add ``--reference`` and ``--iterations`` command line options. * ``chaos``: add ``--width``, ``--height``, ``--thickness``, ``--filename`` and ``--rng-seed`` command line options * ``django_template``: add ``--table-size`` command line option * ``json_dumps``: add ``--cases`` command line option * ``pidigits``: add ``--digits`` command line option * ``raytrace``: add ``--width``, ``--height`` and ``--filename`` command line options * Port ``html5lib`` benchmark to Python 3 * Enable ``pickle_pure_python`` and ``unpickle_pure_python`` on Python 3 (code was already compatible with Python 3) * Creating the virtual environment doesn't inherit environment variables (especially ``PYTHONPATH``) by default anymore: ``--inherit-environ`` command line option must now be used explicitly. Bugfixes: * ``chaos`` benchmark now also reset the ``random`` module at each sample to get more reproductible benchmark results * Logging benchmarks now truncate the in-memory stream before each benchmark run Rename benchmarks: * Rename benchmarks to get a consistent name between the command line and benchmark name in the JSON file. * Rename pickle benchmarks: - ``slowpickle`` becomes ``pickle_pure_python`` - ``slowunpickle`` becomes ``unpickle_pure_python`` - ``fastpickle`` becomes ``pickle`` - ``fastunpickle`` becomes ``unpickle`` * Rename ElementTree benchmarks: replace ``etree_`` prefix with ``xml_etree_``. * Rename ``hexiom2`` to ``hexiom_level25`` and explicitly pass ``--level=25`` parameter * Rename ``json_load`` to ``json_loads`` * Rename ``json_dump_v2`` to ``json_dumps`` (and remove the deprecated ``json_dump`` benchmark) * Rename ``normal_startup`` to ``python_startup``, and ``startup_nosite`` to ``python_startup_no_site`` * Rename ``threaded_count`` to ``threading_threaded_count``, rename ``iterative_count`` to ``threading_iterative_count`` * Rename logging benchmarks: - ``silent_logging`` to ``logging_silent`` - ``simple_logging`` to ``logging_simple`` - ``formatted_logging`` to ``logging_format`` Minor changes: * Update dependencies * Remove broken ``--args`` command line option. Version 0.2.2 (2016-09-19) -------------------------- * Add a new ``show`` command to display a benchmark file * Issue #11: Display Python version in compare. Display also the performance version. * CPython issue #26383; csv output: don't truncate digits for timings shorter than 1 us * compare: Use sample unit of benchmarks, format values in the table output using the unit * compare: Fix the table output if benchmarks only contain a single sample * Remove unused -C/--control_label and -E/--experiment_label options * Update perf dependency to 0.7.11 to get Benchmark.get_unit() and BenchmarkSuite.get_metadata() Version 0.2.1 (2016-09-10) -------------------------- * Add ``--csv`` option to the ``compare`` command * Fix ``compare -O table`` output format * Freeze indirect dependencies in requirements.txt * ``run``: add ``--track-memory`` option to track the memory peak usage * Update perf dependency to 0.7.8 to support memory tracking and the new ``--inherit-environ`` command line option * If ``virtualenv`` command fail, try another command to create the virtual environment: catch ``virtualenv`` error * The first command to upgrade pip to version ``>= 6.0`` now uses the ``pip`` binary rather than ``python -m pip`` to support pip 1.0 which doesn't support ``python -m pip`` CLI. * Update Django (1.10.1), Mercurial (3.9.1) and psutil (4.3.1) * Rename ``--inherit_env`` command line option to ``--inherit-environ`` and fix it Version 0.2 (2016-09-01) ------------------------ * Update Django dependency to 1.10 * Update Chameleon dependency to 2.24 * Add the ``--venv`` command line option * Convert Python startup, Mercurial startup and 2to3 benchmarks to perf scripts (bm_startup.py, bm_hg_startup.py and bm_2to3.py) * Pass the ``--affinity`` option to perf scripts rather than using the ``taskset`` command * Put more installer and optional requirements into ``performance/requirements.txt`` * Cached ``.pyc`` files are no more removed before running a benchmark. Use ``venv recreate`` command to update a virtual environment if required. * The broken ``--track_memory`` option has been removed. It will be added back when it will be fixed. * Add performance version to metadata * Upgrade perf dependency to 0.7.5 to get ``Benchmark.update_metadata()`` Version 0.1.2 (2016-08-27) -------------------------- * Windows is now supported * Add a new ``venv`` command to show, create, recrete or remove the virtual environment. * Fix pybench benchmark (update to perf 0.7.4 API) * performance now tries to install the ``psutil`` module on CPython for better system metrics in metadata and CPU pinning on Python 2. * The creation of the virtual environment now also tries ``virtualenv`` and ``venv`` Python modules, not only the virtualenv command. * The development version of performance now installs performance with "pip install -e " * The GitHub project was renamed from ``python/benchmarks`` to ``python/performance``. Version 0.1.1 (2016-08-24) -------------------------- * Fix the creation of the virtual environment * Rename pybenchmarks script to pyperformance * Add -p/--python command line option * Add __main__ module to be able to run: python3 -m performance Version 0.1 (2016-08-24) ------------------------ * First release after the conversion to the perf module and move to GitHub * Removed benchmarks - django_v2, django_v3 - rietveld - spitfire (and psyco): Spitfire is not available on PyPI - pystone - gcbench - tuple_gc_hell History ------- Projected moved to https://github.com/python/performance in August 2016. Files reorganized, benchmarks patched to use the perf module to run benchmark in multiple processes. Project started in December 2008 by Collin Winter and Jeffrey Yasskin for the Unladen Swallow project. The project was hosted at https://hg.python.org/benchmarks until Feb 2016 pyperformance-1.14.0/doc/conf.py000066400000000000000000000116771514162565100165350ustar00rootroot00000000000000#!/usr/bin/env python3 # -*- coding: utf-8 -*- # # Python Performance Benchmark Suite documentation build configuration file, created by # sphinx-quickstart on Tue Mar 28 15:59:41 2017. # # This file is execfile()d with the current directory set to its # containing dir. # # Note that not all possible configuration values are present in this # autogenerated file. # # All configuration values have a default; values that are commented out # serve to show the default. # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. # # import os # import sys # sys.path.insert(0, os.path.abspath('.')) # -- General configuration ------------------------------------------------ # If your documentation needs a minimal Sphinx version, state it here. # # needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [] # Add any paths that contain templates here, relative to this directory. templates_path = ["_templates"] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # # source_suffix = ['.rst', '.md'] source_suffix = ".rst" # The master toctree document. master_doc = "index" # General information about the project. project = "Python Performance Benchmark Suite" copyright = "2017, Victor Stinner" author = "Victor Stinner" # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents. # # The short X.Y version. version = release = "1.14.0" # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. language = "en" # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This patterns also effect to html_static_path and html_extra_path exclude_patterns = ["_build", "Thumbs.db", ".DS_Store"] # The name of the Pygments (syntax highlighting) style to use. pygments_style = "sphinx" # If true, `todo` and `todoList` produce output, else they produce nothing. todo_include_todos = False # -- Options for HTML output ---------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = "alabaster" # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # # html_theme_options = {} # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ["_static"] # -- Options for HTMLHelp output ------------------------------------------ # Output file base name for HTML help builder. htmlhelp_basename = "PythonPerformanceBenchmarkSuitedoc" # -- Options for LaTeX output --------------------------------------------- latex_elements = { # The paper size ('letterpaper' or 'a4paper'). # # 'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). # # 'pointsize': '10pt', # Additional stuff for the LaTeX preamble. # # 'preamble': '', # Latex figure (float) alignment # # 'figure_align': 'htbp', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ ( master_doc, "PythonPerformanceBenchmarkSuite.tex", "Python Performance Benchmark Suite Documentation", "Victor Stinner", "manual", ), ] # -- Options for manual page output --------------------------------------- # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ ( master_doc, "pythonperformancebenchmarksuite", "Python Performance Benchmark Suite Documentation", [author], 1, ) ] # -- Options for Texinfo output ------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ ( master_doc, "PythonPerformanceBenchmarkSuite", "Python Performance Benchmark Suite Documentation", author, "PythonPerformanceBenchmarkSuite", "One line description of project.", "Miscellaneous", ), ] pyperformance-1.14.0/doc/cpython_results_2017.rst000066400000000000000000000616011514162565100216760ustar00rootroot00000000000000+++++++++++++++++++++ CPython results, 2017 +++++++++++++++++++++ This page lists benchmarks which became faster in CPython. Optimizations ============= 2016-12-14: speedup method calls -------------------------------- .. XXX results of the commit must validated on speed-python. Optimization: `Speedup method calls 1.2x `_, `commit f2392133 `_. +---------------------+---------------------------+------------------------------+ | Benchmark | 2016-12-01 (27580c1fb5e8) | 2017-01-01 (67e1aa0b58be) | +=====================+===========================+==============================+ | call_method | 14.1 ms | 11.2 ms: 1.26x faster (-21%) | +---------------------+---------------------------+------------------------------+ | call_method_slots | 13.9 ms | 11.1 ms: 1.25x faster (-20%) | +---------------------+---------------------------+------------------------------+ | call_method_unknown | 16.0 ms | 14.3 ms: 1.12x faster (-11%) | +---------------------+---------------------------+------------------------------+ 2016-04-22: pymalloc allocator ------------------------------ Optimization: `PyMem_Malloc() now uses the fast pymalloc allocator `_, `commit f5c4b990 `_. Changes of at least 5%: +----------------------+---------------------------+------------------------------+ | Benchmark | 2016-04-21 (5439fc4901db) | 2016-04-22 (f5c4b99034fa) | +======================+===========================+==============================+ | unpickle_list | 10.4 us | 7.64 us: 1.36x faster (-27%) | +----------------------+---------------------------+------------------------------+ | json_dumps | 28.0 ms | 25.2 ms: 1.11x faster (-10%) | +----------------------+---------------------------+------------------------------+ | unpickle_pure_python | 741 us | 678 us: 1.09x faster (-9%) | +----------------------+---------------------------+------------------------------+ | unpickle | 33.9 us | 31.3 us: 1.08x faster (-8%) | +----------------------+---------------------------+------------------------------+ | meteor_contest | 197 ms | 183 ms: 1.08x faster (-7%) | +----------------------+---------------------------+------------------------------+ | mako | 36.9 ms | 34.3 ms: 1.07x faster (-7%) | +----------------------+---------------------------+------------------------------+ | pathlib | 41.0 ms | 38.4 ms: 1.07x faster (-6%) | +----------------------+---------------------------+------------------------------+ | call_method_slots | 14.8 ms | 13.9 ms: 1.07x faster (-6%) | +----------------------+---------------------------+------------------------------+ | telco | 19.5 ms | 18.3 ms: 1.07x faster (-6%) | +----------------------+---------------------------+------------------------------+ | scimark_lu | 413 ms | 388 ms: 1.07x faster (-6%) | +----------------------+---------------------------+------------------------------+ | nqueens | 221 ms | 207 ms: 1.07x faster (-6%) | +----------------------+---------------------------+------------------------------+ | fannkuch | 937 ms | 882 ms: 1.06x faster (-6%) | +----------------------+---------------------------+------------------------------+ | regex_compile | 319 ms | 301 ms: 1.06x faster (-6%) | +----------------------+---------------------------+------------------------------+ | raytrace | 1.16 sec | 1.09 sec: 1.06x faster (-5%) | +----------------------+---------------------------+------------------------------+ | pickle_pure_python | 1.11 ms | 1.05 ms: 1.05x faster (-5%) | +----------------------+---------------------------+------------------------------+ | genshi_text | 70.1 ms | 66.6 ms: 1.05x faster (-5%) | +----------------------+---------------------------+------------------------------+ 2015-12-07: Optimize ElementTree.iterparse(), xml_etree_iterparse ----------------------------------------------------------------- .. XXX results of the commit must validated on speed-python. Optimization: `Issue #25638: Optimized ElementTree.iterparse(); it is now 2x faster `_, `commit 9ec5e25f2 `_. +---------------------+---------------------------+-----------------------------+ | Benchmark | 2015-12-01 (df144092a340) | 2016-01-01 (71db90356390) | +=====================+===========================+=============================+ | xml_etree_iterparse | 423 ms | 206 ms: 2.05x faster (-51%) | +---------------------+---------------------------+-----------------------------+ 2015-09-19: PGO uses test suite, pidigits ----------------------------------------- Optimization: `Issue #24915: Add Clang support to PGO builds and use the test suite for profile data `_, `commit 7188a3ef `_. Changes of at least 5%: +----------------------+--------------------------------------+--------------------------------------+ | Benchmark | 2015-09-18 (4b363e270108) | 2015-09-18_22-13 (7188a3efe07b) | +======================+======================================+======================================+ | pickle | 33.7 us | 26.4 us: 1.28x faster (-22%) | +----------------------+--------------------------------------+--------------------------------------+ | pidigits | 332 ms | 286 ms: 1.16x faster (-14%) | +----------------------+--------------------------------------+--------------------------------------+ | pickle_list | 9.90 us | 8.84 us: 1.12x faster (-11%) | +----------------------+--------------------------------------+--------------------------------------+ | unpickle | 37.2 us | 33.3 us: 1.12x faster (-11%) | +----------------------+--------------------------------------+--------------------------------------+ | unpickle_list | 11.1 us | 9.95 us: 1.11x faster (-10%) | +----------------------+--------------------------------------+--------------------------------------+ | regex_dna | 330 ms | 297 ms: 1.11x faster (-10%) | +----------------------+--------------------------------------+--------------------------------------+ | regex_effbot | 6.43 ms | 5.80 ms: 1.11x faster (-10%) | +----------------------+--------------------------------------+--------------------------------------+ | pickle_dict | 69.3 us | 64.1 us: 1.08x faster (-8%) | +----------------------+--------------------------------------+--------------------------------------+ | mako | 39.1 ms | 36.2 ms: 1.08x faster (-7%) | +----------------------+--------------------------------------+--------------------------------------+ | call_simple | 12.2 ms | 11.6 ms: 1.05x faster (-5%) | +----------------------+--------------------------------------+--------------------------------------+ | genshi_xml | 175 ms | 166 ms: 1.05x faster (-5%) | +----------------------+--------------------------------------+--------------------------------------+ Changes of at least 5%, sadly two benchmarks also became slower: +----------------------+--------------------------------------+--------------------------------------+ | Benchmark | 2015-09-18_14-32-master-4b363e270108 | 2015-09-18_22-13-master-7188a3efe07b | +======================+======================================+======================================+ | unpickle_pure_python | 776 us | 821 us: 1.06x slower (+6%) | +----------------------+--------------------------------------+--------------------------------------+ | regex_v8 | 49.5 ms | 52.6 ms: 1.06x slower (+6%) | +----------------------+--------------------------------------+--------------------------------------+ 2015-05-30: C implementation of collections.OrderedDict, html5lib ----------------------------------------------------------------- .. XXX results of the commit must validated on speed-python. Optimization: `Issue #16991: Add a C implementation of collections.OrderedDict `_, `commit 96c6af9b `_. +-----------------+---------------------------+-----------------------------+ | Benchmark | 2015-05-02 (3b4d30a27bd6) | 2015-06-01 (41874c570cf3) | +=================+===========================+=============================+ | html5lib | 285 ms | 233 ms: 1.23x faster (-19%) | +-----------------+---------------------------+-----------------------------+ 2015-05-23: C implementation of functools.lru_cache(), sympy ------------------------------------------------------------ Optimization: `Issue #14373: Added C implementation of functools.lru_cache() `_, `commit 1c858c35 `_. Changes of at least 5%: +-----------------+--------------------------------------+--------------------------------------+ | Benchmark | 2015-05-23_19-15-master-c70908558d8e | 2015-05-23_19-42-master-1c858c352b8c | +=================+======================================+======================================+ | sympy_expand | 1.45 sec | 1.14 sec: 1.27x faster (-21%) | +-----------------+--------------------------------------+--------------------------------------+ | sympy_sum | 308 ms | 247 ms: 1.25x faster (-20%) | +-----------------+--------------------------------------+--------------------------------------+ | sympy_str | 621 ms | 500 ms: 1.24x faster (-19%) | +-----------------+--------------------------------------+--------------------------------------+ | sympy_integrate | 54.2 ms | 45.7 ms: 1.19x faster (-16%) | +-----------------+--------------------------------------+--------------------------------------+ | scimark_lu | 497 ms | 471 ms: 1.06x faster (-5%) | +-----------------+--------------------------------------+--------------------------------------+ ``pickle_dict`` is seen as 1.06x slower, but since pickle doesn't use functools.lru_cache(), the change is ignored in the table. Slowdown ======== 2016-09-11: regex_compile ------------------------- Slowdown: `convert re flags to (much friendlier) IntFlag constants (issue #28082) `_, `commit f93395bc `_. +---------------+---------------------------+----------------------------+-----------------------------+ | Benchmark | 2016-04-01 (6b6abd4cf10e) | 2016-07-01 (355048970b2a) | 2016-10-01 (78a111c7d867) | +===============+===========================+============================+=============================+ | regex_compile | 339 ms | 309 ms: 1.10x faster (-9%) | 383 ms: 1.13x slower (+13%) | +---------------+---------------------------+----------------------------+-----------------------------+ Timeline ======== April, 2016 -> May, 2016 ------------------------ 2016-04-01 .. 2016-05-01: +----------------+---------------------------+-------------------------------+ | Benchmark | 2016-04-01 (dcfebb32e277) | 2016-05-01 (f1e2671fdf88) | +================+===========================+===============================+ | nqueens | 255 ms | 207 ms: 1.23x faster (-19%) | +----------------+---------------------------+-------------------------------+ | raytrace | 1.31 sec | 1.09 sec: 1.19x faster (-16%) | +----------------+---------------------------+-------------------------------+ | float | 290 ms | 243 ms: 1.19x faster (-16%) | +----------------+---------------------------+-------------------------------+ | chaos | 273 ms | 235 ms: 1.16x faster (-14%) | +----------------+---------------------------+-------------------------------+ | hexiom | 21.0 ms | 18.6 ms: 1.13x faster (-11%) | +----------------+---------------------------+-------------------------------+ | deltablue | 16.4 ms | 14.6 ms: 1.12x faster (-11%) | +----------------+---------------------------+-------------------------------+ | go | 557 ms | 502 ms: 1.11x faster (-10%) | +----------------+---------------------------+-------------------------------+ | nbody | 254 ms | 232 ms: 1.10x faster (-9%) | +----------------+---------------------------+-------------------------------+ call_method ----------- Timeline 2016-04-01 .. 2017-01-01: +---------------------+---------------------------+------------------------------+------------------------------+--------------------------------------+ | Benchmark | 2016-04-01 (6b6abd4cf10e) | 2016-07-01 (355048970b2a) | 2016-10-01 (78a111c7d867) | 2017-01-01 (67e1aa0b58be) | +=====================+===========================+==============================+==============================+======================================+ | call_method | 15.8 ms | 14.9 ms: 1.06x faster (-6%) | 14.1 ms: 1.13x faster (-11%) | 11.2 ms: 1.42x faster (-29%) | +---------------------+---------------------------+------------------------------+------------------------------+--------------------------------------+ | call_method_slots | 15.7 ms | 15.2 ms: 1.03x faster (-3%) | 14.0 ms: 1.13x faster (-11%) | 11.1 ms: 1.42x faster (-29%) | +---------------------+---------------------------+------------------------------+------------------------------+--------------------------------------+ | call_method_unknown | 17.7 ms | 15.9 ms: 1.11x faster (-10%) | 15.6 ms: 1.13x faster (-11%) | 14.3 ms: 1.23x faster (-19%) | +---------------------+---------------------------+------------------------------+------------------------------+--------------------------------------+ crypto_pyaes ------------ .. XXX failed to get any significant diff on smithers between dcfebb32e277a68b9c6582e6a0484e6d (2016-04-01) and f1e2671fdf88fce8a367ee63aba4a (2016-05-01) (diff: -1%) .. XXX related to PyMem_Malloc()? .. XXX failed to reproduce on speed-python (no LTO, no PGO) old_commit = dcfebb32e277a68b9c6582e6a0484e6d new_commit = f1e2671fdf88fce8a367ee63aba4a +--------------+---------------------+----------------------------+ | Benchmark | 2016-04-01 (master) | 2016-05-01 (master) | +==============+=====================+============================+ | crypto_pyaes | 226 ms | 205 ms: 1.10x faster (-9%) | +--------------+---------------------+----------------------------+ 2016-03-01 .. 2016-06-01: +--------------+---------------------------+-----------------------------+ | Benchmark | 2016-03-01 (13d09afff127) | 2016-06-01 (d80ab7d94578) | +==============+===========================+=============================+ | crypto_pyaes | 231 ms | 199 ms: 1.16x faster (-14%) | +--------------+---------------------------+-----------------------------+ json_loads ---------- Progress on 21 months, 2015-01-01 .. 2016-10-01: +------------+---------------------------+------------------------------+ | Benchmark | 2015-01-01 (52074ac866eb) | 2016-10-01 (78a111c7d867) | +============+===========================+==============================+ | json_loads | 64.0 us | 56.6 us: 1.13x faster (-11%) | +------------+---------------------------+------------------------------+ logging_silent -------------- .. (1) 2016-01 .. 2016-02 -- not reproduced on speed-python (2) 2016-04 .. 2016-05 (3) 2017-01 .. 2017-02 -- not reproduced on speed-python +----------------+---------------------------+-----------------------------+ | Benchmark | 2016-01-01 (899b72cee21c) | 2016-07-01 (355048970b2a) | +================+===========================+=============================+ | logging_silent | 718 ns | 606 ns: 1.18x faster (-16%) | +----------------+---------------------------+-----------------------------+ pickle ------ pickle, 2016-08-02 .. 2016-09-08: .. XXX unable to reproduce on speed-python (no LTO, no PGO) 133138a284be1985ebd9ec9014f1306b9a425 .. 10427f44852b6e872034061421a8890902b8f diff: -6% .. commit 711120d8fd0445b33655101d72b0f576646bff9f faster import? http://bugs.python.org/issue22557 +-----------+---------------------------+------------------------------+ | Benchmark | 2016-08-02 (133138a284be) | 2016-09-08 (10427f44852b) | +===========+===========================+==============================+ | pickle | 25.5 us | 21.4 us: 1.19x faster (-16%) | +-----------+---------------------------+------------------------------+ pickle dict/list: .. XXX pickle_dict diff is very small (-5 us), hard to bisect +-------------+---------------------------+------------------------------+ | Benchmark | 2016-04-01 (6b6abd4cf10e) | 2016-10-01 (78a111c7d867) | +=============+===========================+==============================+ | pickle_dict | 64.5 us | 57.7 us: 1.12x faster (-11%) | +-------------+---------------------------+------------------------------+ | pickle_list | 9.06 us | 7.79 us: 1.16x faster (-14%) | +-------------+---------------------------+------------------------------+ unpickle: +-----------+---------------------------+------------------------------+ | Benchmark | 2015-07-01 (d7982beca93c) | 2015-10-01 (30b7138fe12b) | +===========+===========================+==============================+ | unpickle | 36.9 us | 32.8 us: 1.13x faster (-11%) | +-----------+---------------------------+------------------------------+ python_startup -------------- 2015-04-01 .. 2015-10-01: +------------------------+---------------------------+-----------------------------+ | Benchmark | 2015-04-01 (4fd929b43121) | 2015-10-01 (30b7138fe12b) | +========================+===========================+=============================+ | python_startup | 16.4 ms | 17.2 ms: 1.05x slower (+5%) | +------------------------+---------------------------+-----------------------------+ | python_startup_no_site | 8.65 ms | 8.90 ms: 1.03x slower (+3%) | +------------------------+---------------------------+-----------------------------+ 2016-04-01 .. 2017-01-01: +------------------------+---------------------------+------------------------------+ | Benchmark | 2016-04-01 (6b6abd4cf10e) | 2017-01-01 (67e1aa0b58be) | +========================+===========================+==============================+ | python_startup | 17.3 ms | 14.5 ms: 1.20x faster (-16%) | +------------------------+---------------------------+------------------------------+ | python_startup_no_site | 8.89 ms | 8.39 ms: 1.06x faster (-6%) | +------------------------+---------------------------+------------------------------+ regex_compile ------------- +---------------+---------------------------+----------------------------+-----------------------------+ | Benchmark | 2016-04-01 (6b6abd4cf10e) | 2016-07-01 (355048970b2a) | 2016-10-01 (78a111c7d867) | +===============+===========================+============================+=============================+ | regex_compile | 339 ms | 309 ms: 1.10x faster (-9%) | 383 ms: 1.13x slower (+13%) | +---------------+---------------------------+----------------------------+-----------------------------+ telco ----- +-----------+---------------------------+-----------------------------+-----------------------------+------------------------------+------------------------------+ | Benchmark | 2016-01-01 (899b72cee21c) | 2016-04-01 (6b6abd4cf10e) | 2016-07-01 (355048970b2a) | 2016-10-01 (78a111c7d867) | 2017-03-31 (cdcac039fb44) | +===========+===========================+=============================+=============================+==============================+==============================+ | telco | 19.6 ms | 19.2 ms: 1.02x faster (-2%) | 18.3 ms: 1.08x faster (-7%) | 15.1 ms: 1.30x faster (-23%) | 13.9 ms: 1.41x faster (-29%) | +-----------+---------------------------+-----------------------------+-----------------------------+------------------------------+------------------------------+ scimark ------- .. XXX unable to reproduce on smithers (without LTO nor PGO), ef158c3ced3f (2017-02-01) .. 1cf2a809b1eb4f9fc8ac3ccc97424586892d1e1a (2017-02-28) 2016-10-01 .. 2017-03-31: +-------------+---------------------------+-----------------------------+-----------------------------+ | Benchmark | 2016-10-01 (78a111c7d867) | 2017-01-01 (67e1aa0b58be) | 2017-03-31 (cdcac039fb44) | +=============+===========================+=============================+=============================+ | scimark_lu | 423 ms | 378 ms: 1.12x faster (-11%) | 318 ms: 1.33x faster (-25%) | +-------------+---------------------------+-----------------------------+-----------------------------+ | scimark_sor | 426 ms | 403 ms: 1.06x faster (-5%) | 375 ms: 1.14x faster (-12%) | +-------------+---------------------------+-----------------------------+-----------------------------+ sqlalchemy_declarative ---------------------- +------------------------+---------------------------+-----------------------------+ | Benchmark | 2014-10-01 (5a789f7eaf81) | 2015-10-01 (30b7138fe12b) | +========================+===========================+=============================+ | sqlalchemy_declarative | 345 ms | 301 ms: 1.15x faster (-13%) | +------------------------+---------------------------+-----------------------------+ sympy ----- 2016-04-01 .. 2016-10-01: +-----------------+---------------------------+------------------------------+------------------------------+ | Benchmark | 2016-04-01 (6b6abd4cf10e) | 2016-07-01 (355048970b2a) | 2016-10-01 (78a111c7d867) | +=================+===========================+==============================+==============================+ | sympy_expand | 1.10 sec | 1.01 sec: 1.09x faster (-8%) | 942 ms: 1.17x faster (-14%) | +-----------------+---------------------------+------------------------------+------------------------------+ | sympy_integrate | 46.6 ms | 42.9 ms: 1.09x faster (-8%) | 41.2 ms: 1.13x faster (-11%) | +-----------------+---------------------------+------------------------------+------------------------------+ | sympy_sum | 247 ms | 233 ms: 1.06x faster (-6%) | 199 ms: 1.24x faster (-19%) | +-----------------+---------------------------+------------------------------+------------------------------+ | sympy_str | 483 ms | 454 ms: 1.07x faster (-6%) | 427 ms: 1.13x faster (-12%) | +-----------------+---------------------------+------------------------------+------------------------------+ xml_etree_generate ------------------ +--------------------+---------------------------+----------------------------+----------------------------+-----------------------------+-----------------------------+ | Benchmark | 2015-04-01 (4fd929b43121) | 2015-07-01 (d7982beca93c) | 2015-10-01 (30b7138fe12b) | 2016-01-01 (899b72cee21c) | 2016-07-01 (355048970b2a) | +====================+===========================+============================+============================+=============================+=============================+ | xml_etree_generate | 282 ms | 267 ms: 1.06x faster (-5%) | 256 ms: 1.10x faster (-9%) | 237 ms: 1.19x faster (-16%) | 212 ms: 1.33x faster (-25%) | +--------------------+---------------------------+----------------------------+----------------------------+-----------------------------+-----------------------------+ pyperformance-1.14.0/doc/custom_benchmarks.rst000066400000000000000000000241461514162565100214720ustar00rootroot00000000000000+++++++++++++++++ Custom Benchmarks +++++++++++++++++ pyperformance includes its own set of benchmarks (see :doc:`benchmarks`). However, it also supports using custom benchmarks. Using Custom Benchmarks ======================= To use custom benchmarks, you will need to use the ``--manifest`` CLI option and provide the path to the manifest file describing those benchmarks. The pyperformance File Formats ============================== ``pyperformance`` uses two file formats to identify benchmarks: * manifest - a set of benchmarks * metadata - a single benchmark For each benchmark, there are two required files and several optional ones. Those files are expected to be in a specific directory structure (unless customized in the metadata). The structure (see below) is such that it's easy to maintain a benchmark (or set of benchmarks) on GitHub and distribute it on PyPI. It also simplifies publishing a Python project's benchmarks. The alternative is pointing people at a repo. Benchmarks can inherit metadata from other metadata files. This is useful for keeping common metadata for a set of benchmarks (e.g. "version") in one file. Likewise, benchmarks for a Python project can inherit metadata from the project's pyproject.toml. Sometimes a benchmark will have one or more variants that run using the same script. Variants like this are supported by ``pyperformance`` without requiring much extra effort. Benchmark Directory Structure ----------------------------- Normally a benchmark is structured like this:: bm_NAME/ data/ # if needed requirements.txt # lock file, if any pyproject.toml run_benchmark.py (Note the "bm\_" prefix on the directory name.) "pyproject.toml" holds the metadata. "run_benchmark.py" holds the actual benchmark code. Both are necessary. ``pyperformance`` treats the metadata file as the fundamental source of information about a benchmark. A manifest for a set of benchmarks is effectively a mapping of names to metadata files. So a metadata file is essential. It can be located anywhere on disk. However, if it isn't located in the structure described above then the metadata must identify where to find the other files. Other than that, only a benchmark script (e.g. "run_benchmark.py" above) is required. All other files are optional. When a benchmark has variants, each has its own metadata file next to the normal "pyproject.toml", named "bm_NAME.toml". (Note the "bm\_" prefix.) The format of variant metadata files is exactly the same. ``pyperformance`` treats them the same, except that the sibling "pyproject.toml" is inherited by default. Manifest Files -------------- A manifest file identifies a set of benchmarks, as well as (optionally) how they should be grouped. ``pyperformance`` uses the manifest to determine which benchmarks are available to run (and thus which to run by default). A manifest normally looks like this:: [benchmarks] name metafile bench1 somedir/bm_bench1/pyproject.toml bench2 somedir/pyproject.toml bench3 ../anotherdir The "benchmarks" section is a table with rows of tab-separated-values. The "name" value is how ``pyperformance`` will identify the benchmark. The "metafile" value is where ``pyperformance`` will look for the benchmark's metadata. If a metafile is a directory then it looks for "pyproject.toml" in that directory. Benchmark Groups ^^^^^^^^^^^^^^^^ The other sections in the manifest file relate to grouping:: [benchmarks] name metafile bench1 somedir/bm_bench1 bench2 somedir/bm_bench2 bench3 anotherdir/mybench.toml [groups] tag1 tag2 [group default] bench2 bench3 [group tricky] bench2 The "groups" section specifies available groups that may be identified by benchmark tags (see about tags in the metadata section below). Any other group sections in the manifest are automatically added to the list of available groups. If no "default" group is specified then one is automatically added with all benchmarks from the "benchmarks" section in it. If there is no "groups" section and no individual group sections (other than "default") then the set of all tags of the known benchmarks is treated as "groups". A group named "all" as also automatically added which has all known benchmarks in it. Benchmarks can be excluded from a group by using a ``-`` (minus) prefix. Any benchmark alraedy in the list (at that point) that matches will be dropped from the list. If the first entry in the section is an exclusion then all known benchmarks are first added to the list before the exclusion is applied. For example:: [benchmarks] name metafile bench1 somedir/bm_bench1 bench2 somedir/bm_bench2 bench3 anotherdir/mybench.toml [group default] -bench1 This means by default only "bench2" and "bench3" are run. Merging Manifests ^^^^^^^^^^^^^^^^^ To combine manifests, use the ``[includes]`` section in the manifest:: [includes] project1/benchmarks/MANIFEST project2/benchmarks/MANIFEST Note that ```` is the same as including the manifest file for the default pyperformance benchmarks. A Local Benchmark Suite ^^^^^^^^^^^^^^^^^^^^^^^ Often a project will have more than one benchmark that it will treat as a suite. ``pyperformance`` handles this without any extra work. In the dirctory holding the manifest file put all the benchmarks. Then put ```` in the "metafile" column, like this:: [benchmarks] name metafile bench1 bench2 bench3 bench4 bench5 It will look for ``DIR/bm_NAME/pyproject.toml``. If there are also variants, identify the main benchmark in the "metafile" value, like this:: [benchmarks] name metafile bench1 bench2 bench3 variant1 variant2 ``pyperformance`` will look for ``DIR/bm_BASE/bm_NAME.toml``, where "BASE" is the part after "local:". A Project's Benchmark Suite ^^^^^^^^^^^^^^^^^^^^^^^^^^^ A Python project can identify its benchmark suite by putting the path to the manifest file in the project's top-level pyproject.toml. Additional manifests can be identified as well:: [tool.pyperformance] manifest = "..." manifests = ["...", "..."] (Reminder: that is the pyproject.toml, not the manifest file.) Benchmark Metadata Files ------------------------ A benchmark's metadata file (usually pyproject.toml) follows the format specified in `PEP 621 `_ and `PEP 518 `_. So there are two supported sections in the file: "project" and "tool.pyperformance". A typical metadata file will look something like this:: [project] version = "0.9.1" dependencies = ["pyperf"] dynamic = ["name"] [tool.pyperformance] name = "my_benchmark" A highly detailed one might look like this:: [project] name = "pyperformance_bm_json_dumps" version = "0.9.1" description = "A benchmark for json.dumps()" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "json_dumps" tags = "serialize" runscript = "bench.py" datadir = ".data-files/extras" extra_opts = ["--special"] Inheritance ^^^^^^^^^^^ For one benchmark to inherit from another (or from common metadata), the "inherits" field is available:: [project] dependencies = ["pyperf"] dynamic = ["name", "version"] [tool.pyperformance] name = "my_benchmark" inherits = "../common.toml" All values in either section of the inherited metadata are treated as defaults, on top of which the current metadata is applied. In the above example, for instance, a value for "version" in common.toml would be used here. If the "inherits" value is a directory (even for "..") then "base.toml" in that directory will be inherited. For variants, the base pyproject.toml is the default value for "inherits". Inferred Values ^^^^^^^^^^^^^^^ In some situations, omitted values will be inferred from other available data (even for required fields). * ``project.name`` <= ``tool.pyperformance.name`` * ``project.*`` <= inherited metadata (except for "name" and "dynamic") * ``tool.pyperformance.name`` <= metadata filename * ``tool.pyperformance.*`` <= inherited metadata (except for "name" and "inherits") When the name is inferred from the filename for a regularly structured benchmark, the "bm\_" prefix is removed from the benchmark's directory. If it is a variant that prefix is removed from the metadata filename, as well as the .toml suffix. The ``[project]`` Section ^^^^^^^^^^^^^^^^^^^^^^^^^ ==================== ===== === === === === field type R T B D ==================== ===== === === === === project.name str X X project.version ver X X X project.dependencies [str] X project.dynamic [str] ==================== ===== === === === === "R": required "T": inferred from the tool section "B": inferred from the inherited metadata "D": for default benchmarks, inferred from pyperformance "dynamic" is required by PEP 621 for when a field will be filled in dynamically by the tool. This is especially important for required fields. All other PEP 621 fields are optional (e.g. ``requires-python = ">=3.8"``, ``{repository = "https://github.com/..."}``). 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The focus is on real-world benchmarks, rather than synthetic benchmarks, using whole applications when possible. * `pyperformance documentation `_ * `pyperformance GitHub project `_ (source code, issues) * `Download pyperformance on PyPI `_ pyperformance is distributed under the MIT license. Documentation: .. toctree:: :maxdepth: 2 usage benchmarks custom_benchmarks cpython_results_2017 changelog Other Python Benchmarks: * CPython: `speed.python.org `_ uses pyperf, pyperformance and `Codespeed `_ (Django web application) * PyPy: `speed.pypy.org `_ uses `PyPy benchmarks `_ * Pyston: `pyston-perf `_ and `speed.pyston.org `_ * `Numba benchmarks `_ * Cython: `Cython Demos/benchmarks `_ * pythran: `numpy-benchmarks `_ See also the `Python speed mailing list `_ and the `Python pyperf module `_ (used by pyperformance). pyperformance is not tuned for PyPy yet: use the `PyPy benchmarks project `_ instead to measure PyPy performances. Image generated by bm_raytrace (pure Python raytrace): .. image:: images/bm_raytrace.jpg :alt: Pure Python raytracer pyperformance-1.14.0/doc/make.bat000066400000000000000000000015021514162565100166250ustar00rootroot00000000000000@ECHO OFF pushd %~dp0 REM Command file for Sphinx documentation if "%SPHINXBUILD%" == "" ( set SPHINXBUILD=sphinx-build ) set SOURCEDIR=. set BUILDDIR=build set SPHINXPROJ=PythonPerformanceBenchmarkSuite if "%1" == "" goto help %SPHINXBUILD% >NUL 2>NUL if errorlevel 9009 ( echo. echo.The 'sphinx-build' command was not found. Make sure you have Sphinx echo.installed, then set the SPHINXBUILD environment variable to point echo.to the full path of the 'sphinx-build' executable. Alternatively you echo.may add the Sphinx directory to PATH. echo. echo.If you don't have Sphinx installed, grab it from echo.http://sphinx-doc.org/ exit /b 1 ) %SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% goto end :help %SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% :end popd pyperformance-1.14.0/doc/sympy_sum.json.gz000066400000000000000000000024101514162565100205760ustar00rootroot00000000000000‹p¢ïXsympy_sum.json…VkÓFýÞ_aùH¶3ïG*¤ªKK«‹Ú"²g’¸kϸ~,ÿ½gbP¿°ÙMìëû8÷Üs'û)Ý9_Ÿºj¸Óí»Oé0ûåâ¾jg/IÁ„ D(ª-%†3ª³‹Mʬ%ÔÆg<Ú¤Æ5•Äc‰R7I”¶Zj¨æb± ÍC¬&ÜJyI§­ F!Ì0®Õ5V)¢à£µæÖ,¡ÜH¦4‰µ(]0¥8#”kN.ɤ¤†Q ÞPc-ª¬B] 7Z.ùHØ€åâ&zåø#ÜX¶ÔÔR3*ܤ֒]Ûâ’YøymKâq ·Ä2¹0"€‰ð$¸2bh?º­Ð”PÑQ1aÄ•^%/$ ›¥+ƒQÄ ^®‘’Rtk£F³•¡8Bš²F*m¤ VV´BXª€3ÕW&-£S†U¬&Ê$d0©0ñ•]*™Dnª•e \C ‰½G„Ú.˜)DYÃéN)fH”‘VÑ•"ŠÄèTÛ¨¾RIÀøÑ\1ºfnP ÃÅj€b³¤Y€HnнxXˆC£ÈÌ£V¡Á«jç”âW!~iLCMHзP‡Ö1+CâHÂåŠN¡]´Iâ,n’Ë(} éñ…tð­8%¹WΕoРR𻪗s΢Zå«”åLBíZÓ‚m¤ÔS[ð n¹Q˜Âò0µæ3ë!â ‰QëÀ§ù,ÁrÉ÷Yú¡º¹Ûý.Â%Ç*hxJ|ÿþ3^YÚ¹©ÚWS•n?¥ÕØé6ýunÛd¨ü>tÍÇjj‚O³tÂTNMçà€EÔ99Q •[&¶‚Á£îç²:ßLg8ÑŒg2Ó™Í0Žj3F3ÆWÿ:øCsü®÷“ýÐÜ»aÛ×uŽ°ÃàþÍ’c€É‡aüÞu€›%ÍÚjrû“fߺmã'×–ñòK¹ÙO)/·1Ï÷kcv6;c÷£TözïûåÄPD " |à´ßžŸ³ô[ùôóÿ¼Lå¨pyperformance-1.14.0/doc/usage.rst000066400000000000000000000467451514162565100171000ustar00rootroot00000000000000+++++ Usage +++++ Installation ============ Command to install pyperformance:: python3 -m pip install pyperformance The command installs a new ``pyperformance`` program. If needed, ``pyperf`` and ``six`` dependencies are installed automatically. pyperformance works on Python 3.6 and newer, but it may work on Python 3.4 and 3.5. At runtime, Python development files (header files) may be needed to install some dependencies like ``dulwich_log`` or ``psutil``, to build their C extension. Commands on Fedora to install dependencies: * Python 3: ``sudo dnf install python3-devel`` * PyPy: ``sudo dnf install pypy-devel`` Windows notes ------------- On Windows, to allow pyperformance to build dependencies from source like ``greenlet``, ``dulwich`` or ``psutil``, if you want to use a ``python.exe`` built from source, you should not use the ``python.exe`` directly. Instead, you must run the little-known command ``PC\layout`` to create a filesystem layout that resembles an installed Python:: .\python.bat -m PC.layout --preset-default --copy installed -v (Use the ``--help`` flag for more info about ``PC\layout``.) Now you can use the "installed" Python executable:: installed\python.exe -m pip install pyperformance installed\python.exe -m pyperformance run ... Using an *actually* installed Python executable (e.g. via ``py``) works fine too. Run benchmarks ============== Commands to compare Python 3.6 and Python 3.7 performance:: pyperformance run --python=python3.6 -o py36.json pyperformance run --python=python3.7 -o py37.json pyperformance compare py36.json py37.json Note: ``python3 -m pyperformance ...`` syntax works as well (ex: ``python3 -m pyperformance run -o py37.json``), but requires to install pyperformance on each tested Python version. JSON files are produced by the pyperf module and so can be analyzed using pyperf commands:: python3 -m pyperf show py36.json python3 -m pyperf check py36.json python3 -m pyperf metadata py36.json python3 -m pyperf stats py36.json python3 -m pyperf hist py36.json python3 -m pyperf dump py36.json (...) It's also possible to use pyperf to compare results of two JSON files:: python3 -m pyperf compare_to py36.json py37.json --table Basic commands -------------- pyperformance actions:: run Run benchmarks on the running python show Display a benchmark file compare Compare two benchmark files list List benchmarks of the running Python list_groups List benchmark groups of the running Python venv Actions on the virtual environment Common options -------------- Options available to all commands:: -h, --help show this help message and exit run --- Run benchmarks on the running python. Usage:: pyperformance run [-h] [-r] [-f] [--debug-single-value] [-v] [-m] [--affinity CPU_LIST] [-o FILENAME] [--append FILENAME] [--manifest MANIFEST] [--timeout TIMEOUT] [-b BM_LIST] [--inherit-environ VAR_LIST] [-p PYTHON] [--hook HOOK] options:: -h, --help show this help message and exit -r, --rigorous Spend longer running tests to get more accurate results -f, --fast Get rough answers quickly --debug-single-value Debug: fastest mode, only compute a single value -v, --verbose Print more output -m, --track-memory Track memory usage. This only works on Linux. --affinity CPU_LIST Specify CPU affinity for benchmark runs. This way, benchmarks can be forced to run on a given CPU to minimize run to run variation. -o FILENAME, --output FILENAME Run the benchmarks on only one interpreter and write benchmark into FILENAME. Provide only baseline_python, not changed_python. --append FILENAME Add runs to an existing file, or create it if it doesn't exist --timeout TIMEOUT Specify a timeout in seconds for a single benchmark run (default: disabled) --manifest MANIFEST benchmark manifest file to use -b BM_LIST, --benchmarks BM_LIST Comma-separated list of benchmarks to run. Can contain both positive and negative arguments: --benchmarks=run_this,also_this,-not_this. If there are no positive arguments, we'll run all benchmarks except the negative arguments. Otherwise we run only the positive arguments. --inherit-environ VAR_LIST Comma-separated list of environment variable names that are inherited from the parent environment when running benchmarking subprocesses. -p PYTHON, --python PYTHON Python executable (default: use running Python) --same-loops SAME_LOOPS Use the same number of loops as a previous run (i.e., don't recalibrate). Should be a path to a .json file from a previous run. --hook HOOK Apply the given pyperf hook when running the benchmarks. show ---- Display a benchmark file. Usage:: show FILENAME positional arguments:: FILENAME compare ------- Compare two benchmark files. Usage:: pyperformance compare [-h] [-v] [-O STYLE] [--csv CSV_FILE] [--inherit-environ VAR_LIST] [-p PYTHON] baseline_file.json changed_file.json positional arguments:: baseline_file.json changed_file.json options:: -v, --verbose Print more output -O STYLE, --output_style STYLE What style the benchmark output should take. Valid options are 'normal' and 'table'. Default is normal. --csv CSV_FILE Name of a file the results will be written to, as a three-column CSV file containing minimum runtimes for each benchmark. --inherit-environ VAR_LIST Comma-separated list of environment variable names that are inherited from the parent environment when running benchmarking subprocesses. -p PYTHON, --python PYTHON Python executable (default: use running Python) list ---- List benchmarks of the running Python. Usage:: pyperformance list [-h] [--manifest MANIFEST] [-b BM_LIST] [--inherit-environ VAR_LIST] [-p PYTHON] options:: --manifest MANIFEST benchmark manifest file to use -b BM_LIST, --benchmarks BM_LIST Comma-separated list of benchmarks to run. Can contain both positive and negative arguments: --benchmarks=run_this,also_this,-not_this. If there are no positive arguments, we'll run all benchmarks except the negative arguments. Otherwise we run only the positive arguments. --inherit-environ VAR_LIST Comma-separated list of environment variable names that are inherited from the parent environment when running benchmarking subprocesses. -p PYTHON, --python PYTHON Python executable (default: use running Python) Use ``python3 -m pyperformance list -b all`` to list all benchmarks. list_groups ----------- List benchmark groups of the running Python. Usage:: pyperformance list_groups [-h] [--manifest MANIFEST] [--inherit-environ VAR_LIST] [-p PYTHON] options:: --manifest MANIFEST benchmark manifest file to use --inherit-environ VAR_LIST Comma-separated list of environment variable names that are inherited from the parent environment when running benchmarking subprocesses. -p PYTHON, --python PYTHON Python executable (default: use running Python) venv ---- Actions on the virtual environment. Actions:: show Display the path to the virtual environment and its status (created or not) create Create the virtual environment recreate Force the recreation of the the virtual environment remove Remove the virtual environment Common options:: --venv VENV Path to the virtual environment --inherit-environ VAR_LIST Comma-separated list of environment variable names that are inherited from the parent environment when running benchmarking subprocesses. -p PYTHON, --python PYTHON Python executable (default: use running Python) venv show ~~~~~~~~~ Display the path to the virtual environment and its status (created or not). Usage:: pyperformance venv show [-h] [--venv VENV] [--inherit-environ VAR_LIST] [-p PYTHON] venv create ~~~~~~~~~~~ Create the virtual environment. Usage:: pyperformance venv create [-h] [--venv VENV] [--manifest MANIFEST] [-b BM_LIST] [--inherit-environ VAR_LIST] [-p PYTHON] options:: --manifest MANIFEST benchmark manifest file to use -b BM_LIST, --benchmarks BM_LIST Comma-separated list of benchmarks to run. Can contain both positive and negative arguments: --benchmarks=run_this,also_this,-not_this. If there are no positive arguments, we'll run all benchmarks except the negative arguments. Otherwise we run only the positive arguments. venv recreate ~~~~~~~~~~~~~ Force the recreation of the the virtual environment. Usage:: pyperformance venv recreate [-h] [--venv VENV] [--manifest MANIFEST] [-b BM_LIST] [--inherit-environ VAR_LIST] [-p PYTHON] options:: --manifest MANIFEST benchmark manifest file to use -b BM_LIST, --benchmarks BM_LIST Comma-separated list of benchmarks to run. Can contain both positive and negative arguments: --benchmarks=run_this,also_this,-not_this. If there are no positive arguments, we'll run all benchmarks except the negative arguments. Otherwise we run only the positive arguments. venv remove ~~~~~~~~~~~ Remove the virtual environment. Usage:: pyperformance venv remove [-h] [--venv VENV] [--inherit-environ VAR_LIST] [-p PYTHON] Compile Python to run benchmarks ================================ pyperformance actions:: compile Compile and install CPython and run benchmarks on installed Python compile_all Compile and install CPython and run benchmarks on installed Python on all branches and revisions of CONFIG_FILE upload Upload JSON results to a Codespeed website All these commands require a configuration file. Simple configuration usable for ``compile`` (but not for ``compile_all`` nor ``upload``), ``doc/benchmark.conf``: .. literalinclude:: benchmark.conf :language: ini Configuration file sample with comments, ``doc/benchmark.conf.sample``: .. literalinclude:: benchmark.conf.sample :language: ini .. _cmd-compile: compile ------- Compile Python, install Python and run benchmarks on the installed Python. Usage:: pyperformance compile [-h] [--patch PATCH] [-U] [-T] [--inherit-environ VAR_LIST] [-p PYTHON] config_file revision [branch] positional arguments:: config_file Configuration filename revision Python benchmarked revision branch Git branch options:: --patch PATCH Patch file -U, --no-update Don't update the Git repository -T, --no-tune Don't run 'pyperf system tune' to tune the system for benchmarks --inherit-environ VAR_LIST Comma-separated list of environment variable names that are inherited from the parent environment when running benchmarking subprocesses. -p PYTHON, --python PYTHON Python executable (default: use running Python) Notes: * PGO is broken on Ubuntu 14.04 LTS with GCC 4.8.4-2ubuntu1~14.04: ``Modules/socketmodule.c:7743:1: internal compiler error: in edge_badness, at ipa-inline.c:895`` compile_all ----------- Compile all branches and revisions of CONFIG_FILE. Usage:: pyperformance compile_all [-h] [--inherit-environ VAR_LIST] [-p PYTHON] config_file positional arguments:: config_file Configuration filename options:: --inherit-environ VAR_LIST Comma-separated list of environment variable names that are inherited from the parent environment when running benchmarking subprocesses. -p PYTHON, --python PYTHON Python executable (default: use running Python) upload ------ Upload results from a JSON file to a Codespeed website. Usage:: pyperformance upload [-h] [--inherit-environ VAR_LIST] [-p PYTHON] config_file json_file positional arguments:: config_file Configuration filename json_file JSON filename options:: --inherit-environ VAR_LIST Comma-separated list of environment variable names that are inherited from the parent environment when running benchmarking subprocesses. -p PYTHON, --python PYTHON Python executable (default: use running Python) How to get stable benchmarks ============================ * Run ``python3 -m pyperf system tune`` command * Compile Python using LTO (Link Time Optimization) and PGO (profile guided optimizations): use the :ref:`pyperformance compile ` command with uses LTO and PGO by default * See advices of the pyperf documentation: `How to get reproductible benchmark results `_. pyperformance virtual environment ================================= To run benchmarks, pyperformance first creates a virtual environment. It installs requirements with fixed versions to get a reproductible environment. The system Python has unknown module installed with unknown versions, and can have ``.pth`` files run at Python startup which can modify Python behaviour or at least slow down Python startup. What is the goal of pyperformance ================================= A benchmark is always written for a specific purpose. Depending how the benchmark is written and how the benchmark is run, the result can be different and so have a different meaning. The pyperformance benchmark suite has multiple goals: * Help to detect performance regression in a Python implementation * Validate that an optimization change makes Python faster and don't performance regressions, or only minor regressions * Compare two implementations of Python, for example CPython and PyPy * Showcase of Python performance which ideally would be representative of performances of applications running on production Don't disable GC nor ASLR ------------------------- The pyperf module and pyperformance benchmarks are designed to produce reproductible results, but not at the price of running benchmarks in a special mode which would not be used to run applications in production. For these reasons, the Python garbage collector, Python randomized hash function and system ASLR (Address Space Layout Randomization) are **not disabled**. Benchmarks don't call ``gc.collect()`` neither since CPython implements it with `stop-the-world `_ and so applications don't call it to not kill performances. Include outliers and spikes --------------------------- Moreover, while the pyperf documentation explains how to reduce the random noise of the system and other applications, some benchmarks use the system and so can get different timing depending on the system workload, depending on I/O performances, etc. Outliers and temporary spikes in results are **not automatically removed**: values are summarized by computing the average (arithmetic mean) and standard deviation which "contains" these spikes, instead of using median and the median absolute deviation for example which to ignore outliers. It is deliberate choice since applications running in production are impacted by such temporary slowdown caused by various things like a garbage collection or a JIT compilation. Warmups and steady state ------------------------ A borderline issue are the benchmarks "warmups". The first values of each worker process are always slower: 10% slower in the best case, it can be 1000% slower or more on PyPy. Right now (2017-04-14), pyperformance ignore first values considered as warmup until a benchmark reachs its "steady state". The "steady state" can include temporary spikes every 5 values (ex: caused by the garbage collector), and it can still imply further JIT compiler optimizations but with a "low" impact on the average pyperformance. To be clear "warmup" and "steady state" are a work-in-progress and a very complex topic, especially on PyPy and its JIT compiler. Notes ===== Tool for comparing the performance of two Python implementations. pyperformance will run Student's two-tailed T test on the benchmark results at the 95% confidence level to indicate whether the observed difference is statistically significant. Omitting the ``-b`` option will result in the default group of benchmarks being run Omitting ``-b`` is the same as specifying `-b default`. To run every benchmark pyperformance knows about, use ``-b all``. To see a full list of all available benchmarks, use `--help`. Negative benchmarks specifications are also supported: `-b -2to3` will run every benchmark in the default group except for 2to3 (this is the same as `-b default,-2to3`). `-b all,-django` will run all benchmarks except the Django templates benchmark. Negative groups (e.g., `-b -default`) are not supported. Positive benchmarks are parsed before the negative benchmarks are subtracted. If ``--track_memory`` is passed, pyperformance will continuously sample the benchmark's memory usage. This currently only works on Linux 2.6.16 and higher or Windows with PyWin32. Because ``--track_memory`` introduces performance jitter while collecting memory measurements, only memory usage is reported in the final report. pyperformance-1.14.0/examples/000077500000000000000000000000001514162565100162735ustar00rootroot00000000000000pyperformance-1.14.0/examples/benchmarking-scripts/000077500000000000000000000000001514162565100224105ustar00rootroot00000000000000pyperformance-1.14.0/examples/benchmarking-scripts/README.md000066400000000000000000000036101514162565100236670ustar00rootroot00000000000000# Benchmarking Scripts Toolkit Companion assets for running `pyperformance` benchmarks on hosts that provide isolated CPUs and for backfilling historical CPython revisions to [speed.python.org](https://speed.python.org/). ## Contents - `run-pyperformance.sh` – shell wrapper that reserves an isolated CPU (175–191) via lockfiles, renders `benchmark.conf` from `benchmark.conf.in` with `m4`, sets up a virtual environment, and runs `pyperformance` with upload enabled. - `benchmark.conf.in` – template consumed by the wrapper; placeholders `TMPDIR` and `CPUID` are filled in so each run has its own working tree, build directory, and CPU affinity. - `backfill.py` – Python helper that reads revisions from `backfill_shas.txt` and launches multiple `run-pyperformance.sh` jobs in parallel, capturing stdout/stderr per revision under `output/`. - `backfill_shas.txt` – example list of `sha=branch` pairs targeted by the backfill script. ## Typical Workflow 1. Ensure kernel CPU isolation (`isolcpus=175-191`) and the `lockfile` utility are available so the wrapper can pin workloads without contention. 2. Invoke `./run-pyperformance.sh -- compile benchmark.conf ` for an ad-hoc run; the script installs `pyperformance==1.13.0`, clones CPython, and uploads results using the environment label configured in `benchmark.conf.in`. 3. Populate `backfill_shas.txt` with the revisions you want to replay and run `python backfill.py` to batch process them; individual logs land in `output/-.out|.err`. Adjust `benchmark.conf.in` if you need to change build parameters (PGO/LTO, job count, upload target, etc.). ## Scheduled Runs If you want a daily unattended run, drop an entry like this into `crontab -e` on the host: ``` 0 0 * * * cd /home/user/pyperformance/examples/benchmarking-scripts && ./run-pyperformance.sh -- compile_all benchmark.conf > /home/pyperf/pyperformance/cron.log 2>&1 ``` pyperformance-1.14.0/examples/benchmarking-scripts/backfill.py000066400000000000000000000033671514162565100245420ustar00rootroot00000000000000import signal import subprocess from multiprocessing import Pool from pathlib import Path """ Parallel backfilling helper for pyperformance runs on isolated CPUs. Reads `sha=branch` pairs from backfill_shas.txt, invokes run-pyperformance.sh for each revision, and lets that wrapper pin the workload to an isolated CPU, materialize benchmark.conf, build CPython, and upload results to speed.python.org. Stdout/stderr for each revision are captured under output/-.(out|err). """ def get_revisions() -> tuple[str, str]: revisions = [] with open("backfill_shas.txt", "r") as f: for line in f: sha, branch = line.split("=") revisions.append((sha, branch.rstrip())) return revisions def run_pyperformance(revision): sha, branch = revision print(f"Running run-pyperformance.sh with sha: {sha}, branch: {branch}") output_dir = Path("output") output_dir.mkdir(parents=True, exist_ok=True) out_file = output_dir / f"{branch}-{sha}.out" err_file = output_dir / f"{branch}-{sha}.err" with open(out_file, "w") as output, open(err_file, "w") as error: subprocess.run( [ "./run-pyperformance.sh", "-x", "--", "compile", "benchmark.conf", sha, branch, ], stdout=output, stderr=error, ) if __name__ == "__main__": original_sigint_handler = signal.signal(signal.SIGINT, signal.SIG_IGN) signal.signal(signal.SIGINT, original_sigint_handler) with Pool(8) as pool: res = pool.map_async(run_pyperformance, get_revisions()) # Without the timeout this blocking call ignores all signals. res.get(86400) pyperformance-1.14.0/examples/benchmarking-scripts/backfill_shas.txt000066400000000000000000000002121514162565100257310ustar00rootroot000000000000005d2edf72d25c2616f0e13d10646460a8e69344fa=main bd2c7e8c8b10f4d31eab971781de13844bcd07fe=main 29b38b7aae884c14085a918282ea7f0798ed7a2a=main pyperformance-1.14.0/examples/benchmarking-scripts/benchmark.conf.in000066400000000000000000000060741514162565100256250ustar00rootroot00000000000000[config] # Directory where JSON files are written. # - uploaded files are moved to json_dir/uploaded/ # - results of patched Python are written into json_dir/patch/ json_dir = TMPDIR/json # If True, compile CPython is debug mode (LTO and PGO disabled), # run benchmarks with --debug-single-sample, and disable upload. # # Use this option used to quickly test a configuration. debug = False [scm] # Directory of CPython source code (Git repository) repo_dir = TMPDIR/cpython # Update the Git repository (git fetch)? update = True # Name of the Git remote, used to create revision of # the Git branch. For example, use revision 'remotes/origin/3.6' # for the branch '3.6'. git_remote = remotes/origin [compile] # Create files into bench_dir: # - bench_dir/bench-xxx.log # - bench_dir/prefix/: where Python is installed # - bench_dir/venv/: Virtual environment used by pyperformance bench_dir = TMPDIR/bench_tmpdir # Link Time Optimization (LTO)? lto = True # Profiled Guided Optimization (PGO)? pgo = True # The space-separated list of libraries that are package-only, # i.e., locally installed but not on header and library paths. # For each such library, determine the install path and add an # appropriate subpath to CFLAGS and LDFLAGS declarations passed # to configure. As an exception, the prefix for openssl, if that # library is present here, is passed via the --with-openssl # option. Currently, this only works with Homebrew on macOS. # If running on macOS with Homebrew, you probably want to use: # pkg_only = openssl readline sqlite3 xz zlib # The version of zlib shipping with macOS probably works as well, # as long as Apple's SDK headers are installed. pkg_only = # Install Python? If false, run Python from the build directory # # WARNING: Running Python from the build directory introduces subtle changes # compared to running an installed Python. Moreover, creating a virtual # environment using a Python run from the build directory fails in many cases, # especially on Python older than 3.4. Only disable installation if you # really understand what you are doing! install = True # Specify '-j' parameter in 'make' command jobs = 24 [run_benchmark] # Run "sudo python3 -m pyperf system tune" before running benchmarks? system_tune = False # --manifest option for 'pyperformance run' manifest = # --benchmarks option for 'pyperformance run' benchmarks = # --affinity option for 'pyperf system tune' and 'pyperformance run' affinity = CPUID # Upload generated JSON file? # # Upload is disabled on patched Python, in debug mode or if install is # disabled. upload = True # Configuration to upload results to a Codespeed website [upload] url = https://speed.python.org/ # environment-name should be created on speed.python.org environment = environment-name executable = lto-pgo project = CPython [compile_all] # List of CPython Git branches branches = main # List of revisions to benchmark by compile_all [compile_all_revisions] # list of 'sha1=' (default branch: 'main') or 'sha1=branch' # used by the "pyperformance compile_all" command # e.g.: # 11159d2c9d6616497ef4cc62953a5c3cc8454afb = pyperformance-1.14.0/examples/benchmarking-scripts/run-pyperformance.sh000077500000000000000000000055561514162565100264360ustar00rootroot00000000000000#!/bin/bash # Wrapper around pyperformance for hosts with isolated CPUs. Reserves a CPU # (175-191) via lockfiles, renders benchmark.conf with m4, bootstraps a venv, # and runs pyperformance pinned to that CPU. Requires kernel isolcpus=175-191 # and the lockfile utility so concurrent runs do not collide, which is # especially helpful when backfilling multiple revisions. set -e set -u set -o pipefail lock_file= tmpdir= cleanup() { if [[ -n "${lock_file:-}" ]]; then echo "Removing $lock_file" rm -f "$lock_file" fi if [[ -n "${tmpdir:-}" ]]; then echo "Removing $tmpdir" rm -fr "$tmpdir" fi exit } trap cleanup EXIT usage() { cat < "$tmpdir/benchmark.conf" # This is our working directory from now on cd "$tmpdir" # Install pyperformance in a virtual env. python3 -m venv venv venv/bin/pip install pyperformance==1.13.0 # Clone cpython git clone https://github.com/python/cpython.git # Run pyperformance venv/bin/pyperformance "$@" pyperformance-1.14.0/pyperformance/000077500000000000000000000000001514162565100173275ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/__init__.py000066400000000000000000000017041514162565100214420ustar00rootroot00000000000000import json import os.path import sys from importlib.metadata import distribution VERSION = (1, 14, 0) __version__ = ".".join(map(str, VERSION)) PKG_ROOT = os.path.dirname(__file__) DATA_DIR = os.path.join(PKG_ROOT, "data-files") def is_installed(): if not is_dev(): return True if _is_venv(): return True return _is_devel_install() def is_dev(): parent = os.path.dirname(PKG_ROOT) return os.path.exists(os.path.join(parent, "pyproject.toml")) def _is_venv(): if sys.base_prefix == sys.prefix: return False return True def _is_devel_install(): # pip install -e will do a "devel" install. # This means it creates a link back to the checkout instead # of copying the files. direct_url = distribution("pyperformance").read_text("direct_url.json") if direct_url: return json.loads(direct_url).get("dir_info", {}).get("editable", False) return False pyperformance-1.14.0/pyperformance/__main__.py000066400000000000000000000000631514162565100214200ustar00rootroot00000000000000import pyperformance.cli pyperformance.cli.main() pyperformance-1.14.0/pyperformance/_benchmark.py000066400000000000000000000177531514162565100220070ustar00rootroot00000000000000__all__ = [ "Benchmark", "BenchmarkSpec", "check_name", "parse_benchmark", ] import os import os.path import sys from collections import namedtuple import pyperf from packaging.specifiers import SpecifierSet from . import _benchmark_metadata, _utils def check_name(name): _utils.check_name("_" + name) def parse_benchmark(entry, *, fail=True): name = entry version = None origin = None metafile = None if not f"_{name}".isidentifier(): if not fail: return None raise ValueError(f"unsupported benchmark name in {entry!r}") bench = BenchmarkSpec(name, version, origin) return bench, metafile class BenchmarkSpec(namedtuple("BenchmarkSpec", "name version origin")): __slots__ = () @classmethod def from_raw(cls, raw): if isinstance(raw, BenchmarkSpec): return raw, None elif isinstance(raw, str): return parse_benchmark(raw) else: raise ValueError(f"unsupported raw spec {raw!r}") def __new__(cls, name, version=None, origin=None): self = super().__new__(cls, name, version or None, origin or None) return self class Benchmark: _metadata = None def __init__(self, spec, metafile): spec, _metafile = BenchmarkSpec.from_raw(spec) if not metafile: if not _metafile: raise ValueError(f"missing metafile for {spec!r}") metafile = _metafile self.spec = spec self.metafile = metafile def __repr__(self): return f"{type(self).__name__}(spec={self.spec!r}, metafile={self.metafile!r})" def __hash__(self): return hash(self.spec) def __eq__(self, other): try: other_spec = other.spec except AttributeError: return NotImplemented return self.spec == other_spec def __gt__(self, other): try: other_spec = other.spec except AttributeError: return NotImplemented return self.spec > other_spec # __getattr__() gets weird when AttributeError comes out of # properties so we spell out all the aliased attributes. @property def name(self): return self.spec.name @property def version(self): version = self.spec.version if version is None: version = self._get_metadata_value("version", None) return version @property def origin(self): return self.spec.origin def _get_rootdir(self): try: return self._rootdir except AttributeError: script = self.runscript self._rootdir = os.path.dirname(script) if script else None return self._rootdir def _init_metadata(self): # assert self._metadata is None defaults = { "name": self.spec.name, "version": self.spec.version, } self._metadata, _ = _benchmark_metadata.load_metadata( self.metafile, defaults, ) def _get_metadata_value(self, key, default): try: return self._metadata[key] except TypeError: if self._metadata is not None: raise # re-raise self._init_metadata() except KeyError: pass return self._metadata.setdefault(key, default) @property def tags(self): return self._get_metadata_value("tags", []) @property def datadir(self): return self._get_metadata_value("datadir", None) @property def requirements_lockfile(self): try: return self._lockfile except AttributeError: lockfile = self._get_metadata_value("requirements_lockfile", None) if not lockfile: rootdir = self._get_rootdir() if rootdir: lockfile = os.path.join(rootdir, "requirements.txt") self._lockfile = lockfile return self._lockfile @property def runscript(self): return self._get_metadata_value("runscript", None) @property def extra_opts(self): return self._get_metadata_value("extra_opts", ()) @property def python(self): return SpecifierSet(self._get_metadata_value("python", "")) # Other metadata keys: # * base # * dependencies # * requirements def run( self, python, runid=None, pyperf_opts=None, *, venv=None, verbose=False, ): if venv and python == sys.executable: python = venv.python if not runid: from .run import get_run_id runid = get_run_id(python, self) runscript = self.runscript bench = _run_perf_script( python, runscript, runid, extra_opts=self.extra_opts, pyperf_opts=pyperf_opts, verbose=verbose, ) return bench ####################################### # internal implementation def _run_perf_script( python, runscript, runid, *, extra_opts=None, pyperf_opts=None, verbose=False, ): if not runscript: raise ValueError("missing runscript") if not isinstance(runscript, str): raise TypeError(f"runscript must be a string, got {runscript!r}") with _utils.temporary_file() as tmp: opts = [ *(extra_opts or ()), *(pyperf_opts or ()), "--output", tmp, ] if pyperf_opts and "--copy-env" in pyperf_opts: argv, env = _prep_cmd(python, runscript, opts, runid, lambda name: None) else: opts, inherit_envvar = _resolve_restricted_opts(opts) argv, env = _prep_cmd(python, runscript, opts, runid, inherit_envvar) hide_stderr = not verbose ec, _, stderr = _utils.run_cmd( argv, env=env, capture="stderr" if hide_stderr else None, ) if ec != 0: if hide_stderr: sys.stderr.flush() sys.stderr.write(stderr) sys.stderr.flush() # pyperf returns exit code 124 if the benchmark execution times out if ec == 124: raise TimeoutError("Benchmark timed out") else: raise RuntimeError("Benchmark died") return pyperf.BenchmarkSuite.load(tmp) def _prep_cmd(python, script, opts, runid, on_set_envvar=None): # Populate the environment variables. env = dict(os.environ) def set_envvar(name, value): env[name] = value if on_set_envvar is not None: on_set_envvar(name) # on_set_envvar() may update "opts" so all calls to set_envvar() # must happen before building argv. set_envvar("PYPERFORMANCE_RUNID", str(runid)) # Build argv. argv = [ python, "-u", script, *(opts or ()), ] return argv, env def _resolve_restricted_opts(opts): # Deal with --inherit-environ. FLAG = "--inherit-environ" resolved = [] idx = None for i, opt in enumerate(opts): if opt.startswith(FLAG + "="): idx = i + 1 resolved.append(FLAG) resolved.append(opt.partition("=")[-1]) resolved.extend(opts[idx:]) break elif opt == FLAG: idx = i + 1 resolved.append(FLAG) resolved.append(opts[idx]) resolved.extend(opts[idx + 1 :]) break else: resolved.append(opt) else: resolved.extend(["--inherit-environ", ""]) idx = len(resolved) - 1 inherited = set(resolved[idx].replace(",", " ").split()) def inherit_env_var(name): inherited.add(name) resolved[idx] = ",".join(inherited) return resolved, inherit_env_var def _insert_on_PYTHONPATH(entry, env): PYTHONPATH = env.get("PYTHONPATH", "").split(os.pathsep) PYTHONPATH.insert(0, entry) env["PYTHONPATH"] = os.pathsep.join(PYTHONPATH) pyperformance-1.14.0/pyperformance/_benchmark_metadata.py000066400000000000000000000160541514162565100236400ustar00rootroot00000000000000__all__ = [ "load_metadata", ] import os.path from . import _benchmark, _pyproject_toml, _utils METADATA = "pyproject.toml" DEPENDENCIES = "requirements.in" REQUIREMENTS = "requirements.txt" DATA = "data" RUN = "run_benchmark.py" PEP_621_FIELDS = { "name": None, "version": None, "requires-python": "python", "dependencies": None, #'optional-dependencies': '', #'urls': '', } TOOL_FIELDS = { #'inherits': None, "metafile": None, "name": None, "tags": None, "datadir": None, "runscript": None, "extra_opts": None, } # class BenchmarkMetadata: # spec # base # metafile # tags # python # dependencies # (from requirements.in) # requirements # (from lock file or requirements.txt) # datadir # runscript # extra_opts def load_metadata(metafile, defaults=None): if isinstance(metafile, str): name, rootdir = _name_from_filename(metafile) data, filename = _pyproject_toml.load_pyproject_toml( metafile, name=name or None, requirefiles=False, ) else: text = metafile.read() filename = metafile.name name, rootdir = _name_from_filename(filename) data = _pyproject_toml.parse_pyproject_toml( text, rootdir, name, requirefiles=False, ) project = data.get("project") tool = data.get("tool", {}).get("pyperformance", {}) defaults = _ensure_defaults(defaults, rootdir) base, basefile = _resolve_base( tool.get("inherits"), # XXX Pop it? project, filename, defaults, ) top = _resolve(project or {}, tool, filename) merged = _merge_metadata(top, base, defaults) if not merged.get("name"): raise ValueError("missing benchmark name") if not merged.get("version"): print("====================") from pprint import pprint print("top:") pprint(top) print("base:") pprint(base) print("defaults:") pprint(defaults) print("merged:") pprint(merged) print("====================") raise ValueError("missing benchmark version") metafile = merged.pop("metafile") merged["spec"] = _benchmark.BenchmarkSpec( merged.pop("name"), merged.pop("version"), # XXX Should we leave this (origin) blank? metafile, ) if basefile: merged["base"] = basefile return merged, filename ####################################### # internal implementation def _name_from_filename(metafile): rootdir, basename = os.path.split(metafile) if basename == "pyproject.toml": dirname = os.path.dirname(rootdir) name = dirname[3:] if dirname.startswith("bm_") else None elif basename.startswith("bm_") and basename.endswith(".toml"): name = basename[3:-5] else: name = None return name, rootdir def _ensure_defaults(defaults, rootdir): if not defaults: defaults = {} if not defaults.get("datadir"): datadir = os.path.join(rootdir, DATA) if os.path.isdir(datadir): defaults["datadir"] = datadir if not defaults.get("runscript"): runscript = os.path.join(rootdir, RUN) if os.path.isfile(runscript): defaults["runscript"] = runscript return defaults def _resolve_base(metabase, project, filename, defaults, *, minimalwithbase=False): rootdir, basename = os.path.split(filename) if not metabase: if basename == "pyproject.toml": return None, None elif not (basename.startswith("bm_") and basename.endswith(".toml")): return None, None elif not os.path.basename(rootdir).startswith("bm_"): return None, None else: metabase = os.path.join(rootdir, "pyproject.toml") if not os.path.isfile(metabase): return None, None if project is not None and minimalwithbase: unexpected = set(project) - {"name", "dynamic", "dependencies"} if unexpected: raise ValueError( f'[project] should be minimal if "inherits" is provided, got extra {sorted(unexpected)}' ) if metabase == "..": metabase = os.path.join( os.path.dirname(rootdir), "base.toml", ) if metabase == filename: raise Exception("circular") if not os.path.isabs(metabase): metabase = os.path.join(rootdir, metabase) if metabase == filename: raise Exception("circular") defaults = dict(defaults, name="_base_") return load_metadata(metabase, defaults) def _resolve(project, tool, filename): resolved = { "metafile": filename, } rootdir = os.path.dirname(filename) for field, target in TOOL_FIELDS.items(): if target is None: target = field if not resolved.get(target): value = tool.get(field) if value is not None: resolved[target] = _resolve_value(field, value, rootdir) for field, target in PEP_621_FIELDS.items(): if target is None: target = field if field == "url": raise NotImplementedError elif not resolved.get(target): value = project.get(field) if value is not None: resolved[target] = value return resolved def _resolve_value(field, value, rootdir): if field == "name": _utils.check_name(value, allownumeric=True) elif field == "metafile": assert False, "unreachable" elif field == "tags": if isinstance(value, str): value = value.replace(",", " ").split() for tag in value: _utils.check_name(tag) if tag == "all": raise ValueError("Invalid tag 'all'") elif tag == "": raise ValueError("Invalid empty tag") elif field == "datadir": if not os.path.isabs(value): value = os.path.join(rootdir, value) _utils.check_dir(value) elif field == "runscript": if not os.path.isabs(value): value = os.path.join(rootdir, value) _utils.check_file(value) elif field == "extra_opts": if isinstance(value, str): raise TypeError(f"extra_opts should be a list of strings, got {value!r}") for opt in value: if not opt or not isinstance(opt, str): raise TypeError( f"extra_opts should be a list of strings, got {value!r}" ) else: raise NotImplementedError(field) return value def _merge_metadata(*tiers): merged = {} for data in tiers: if not data: continue for field, value in data.items(): if field == "spec": field = "version" value = value.version if merged.get(field): # XXX Merge containers? continue if value or isinstance(value, int): merged[field] = value return merged pyperformance-1.14.0/pyperformance/_benchmark_selections.py000066400000000000000000000073571514162565100242360ustar00rootroot00000000000000__all__ = [ "iter_selections", "parse_selection", ] from . import _benchmark, _utils def parse_selection(selection, *, op=None): # "selection" is one of the following: # * a benchmark string # * a benchmark name # * a benchmark pattern # * a tag # * a tag pattern parsed = _benchmark.parse_benchmark(selection, fail=False) spec, metafile = parsed if parsed else (None, None) if parsed and spec.version: kind = "benchmark" spec, metafile = parsed if metafile: parsed = _benchmark.Benchmark(spec, metafile) else: parsed = spec elif parsed and (spec.origin or metafile): raise NotImplementedError(selection) else: parsed = _utils.parse_tag_pattern(selection) if parsed: kind = "tag" else: kind = "name" parsed = _utils.parse_name_pattern(selection, fail=True) # parsed = _utils.parse_name_pattern(selection, fail=False) if not parsed: raise ValueError(f"unsupported selection {selection!r}") return op or "+", selection, kind, parsed def iter_selections(manifest, selections, *, unique=True): byname = {b.name: b for b in manifest.benchmarks} # Compose the expanded include/exclude lists. seen = set() included = [] excluded = set() for op, _, kind, parsed in selections: matches = _match_selection(manifest, kind, parsed, byname) if op == "+": for bench in matches: if bench not in seen or not unique: included.append(bench) seen.add(bench) elif op == "-": for bench in matches: excluded.add(bench) else: raise NotImplementedError(op) if not included: included = list(_match_selection(manifest, "tag", "default", byname)) for bench in included: if bench not in excluded: yield bench ####################################### # internal implementation def _match_selection(manifest, kind, parsed, byname): if kind == "benchmark": bench = parsed # XXX Match bench.metafile too? spec = getattr(bench, "spec", bench) # For now we only support selection by name. # XXX Support selection by version? # XXX Support selection by origin? if spec.version or spec.origin: raise NotImplementedError(spec) if spec.name in byname: yield bench else: # No match! The caller can handle this as they like. yield str(bench) elif kind == "tag": groups = [] if callable(parsed): match_tag = parsed for group in manifest.groups: if match_tag(group): groups.append(group) elif parsed in manifest.groups: groups.append(parsed) else: raise ValueError(f"unsupported selection {parsed!r}") for group in groups: yield from manifest.resolve_group(group) elif kind == "name": if callable(parsed): match_bench = parsed for bench in manifest.benchmarks: if match_bench(bench.name): yield bench else: name = parsed if name in byname: yield byname[name] # We also check the groups, for backward compatibility. elif name in manifest.groups: yield from _match_selection(manifest, "tag", name, byname) else: _utils.check_name(name) # No match! The caller can handle this as they like. yield name else: raise NotImplementedError(kind) pyperformance-1.14.0/pyperformance/_manifest.py000066400000000000000000000341701514162565100216530ustar00rootroot00000000000000__all__ = [ "BenchmarksManifest", "load_manifest", "parse_manifest", ] import os.path from . import DATA_DIR, __version__, _benchmark, _utils DEFAULTS_DIR = os.path.join(DATA_DIR, "benchmarks") DEFAULT_MANIFEST = os.path.join(DEFAULTS_DIR, "MANIFEST") BENCH_COLUMNS = ("name", "metafile") BENCH_HEADER = "\t".join(BENCH_COLUMNS) def load_manifest(filename, *, resolve=None): if not filename: filename = DEFAULT_MANIFEST filename = _utils.resolve_file(filename) sections = _parse_manifest_file(filename) return BenchmarksManifest._from_sections(sections, resolve, filename) def parse_manifest(lines, *, resolve=None, filename=None): if isinstance(lines, str): lines = lines.splitlines() else: if not filename: # Try getting the filename from a file. filename = getattr(lines, "name", None) sections = _parse_manifest(lines, filename) return BenchmarksManifest._from_sections(sections, resolve, filename) def resolve_default_benchmark(bench): if isinstance(bench, _benchmark.Benchmark): spec = bench.spec else: spec = bench bench = _benchmark.Benchmark(spec, "") bench.metafile = None if not spec.version: spec = spec._replace(version=__version__) if not spec.origin: spec = spec._replace(origin="") bench.spec = spec if not bench.metafile: metafile = os.path.join(DEFAULTS_DIR, f"bm_{bench.name}", "pyproject.toml") bench.metafile = metafile return bench class BenchmarksManifest: @classmethod def _from_sections(cls, sections, resolve=None, filename=None): self = cls(filename=filename) self._add_sections(sections, resolve) return self def __init__(self, benchmarks=None, groups=None, filename=None): self._raw_benchmarks = [] # XXX Support disabling all groups (except all and default)? self._raw_groups = {} self._raw_filename = filename self._byname = {} self._groups = None self._tags = None if benchmarks: self._add_benchmarks(benchmarks) if groups: self._add_groups(groups) def __repr__(self): args = ( f"{n}={getattr(self, '_raw_' + n)}" for n in ("benchmarks", "groups", "filename") ) return f"{type(self).__name__}({', '.join(args)})" @property def benchmarks(self): return list(self._byname.values()) @property def groups(self): names = self._custom_groups() return names | {"all", "default"} @property def tags(self): return set(self._get_tags()) @property def filename(self): return self._raw_filename def _add_sections(self, sections, resolve): seen_by_file = {} for filename, section, data in sections: try: seen = seen_by_file[filename] except KeyError: seen = seen_by_file[filename] = set() self._add_section_for_file(filename, section, data, resolve, seen) def _add_section_for_file(self, filename, section, data, resolve, seen): if resolve is None and filename == DEFAULT_MANIFEST: resolve = resolve_default_benchmark if section == "group": name, entries = data self._add_group(name, entries) else: # All sections with an identifier have already been handled. if section in seen: # For now each section_key can only show up once. raise NotImplementedError((section, data)) seen.add(section) if section == "includes": pass elif section == "benchmarks": entries = ((s, m, filename) for s, m in data) self._add_benchmarks(entries, resolve) elif section == "groups": for name in data: self._add_group(name, None) else: raise NotImplementedError((section, data)) def _add_benchmarks(self, entries, resolve): for spec, metafile, filename in entries: # XXX Ignore duplicates? self._add_benchmark(spec, metafile, resolve, filename) def _add_benchmark(self, spec, metafile, resolve, filename): if spec.name in self._raw_groups: raise ValueError( f"a group and a benchmark have the same name ({spec.name})" ) if spec.name == "all": raise ValueError( 'a benchmark named "all" is not allowed ("all" is reserved for selecting the full set of declared benchmarks)' ) if metafile: if filename: localdir = os.path.dirname(filename) metafile = os.path.join(localdir, metafile) bench = _benchmark.Benchmark(spec, metafile) else: metafile = None bench = spec self._raw_benchmarks.append((spec, metafile, filename)) if resolve is not None: bench = resolve(bench) if bench.name in self._byname: raise ValueError(f"a benchmark named {bench.name} was already declared") self._byname[bench.name] = bench self._groups = None # Force re-resolution. self._tags = None # Force re-resolution. def _add_group(self, name, entries): if name in self._byname: raise ValueError(f"a group and a benchmark have the same name ({name})") if name == "all": raise ValueError( 'a group named "all" is not allowed ("all" is reserved for selecting the full set of declared benchmarks)' ) if entries is None: if name in self._raw_groups: return self._raw_groups[name] = None elif name in self._raw_groups and self._raw_groups[name] is not None: raise ValueError(f"a group named {name} was already defined") else: self._raw_groups[name] = list(entries) if entries else [] self._groups = None # Force re-resolution. def _custom_groups(self): return set(self._raw_groups) - {"all", "default"} def _get_tags(self): if self._tags is None: self._tags = _get_tags(self._byname.values()) self._tags.pop("all", None) # It is manifest-specific. self._tags.pop("default", None) # It is manifest-specific. return self._tags def _resolve_groups(self): if self._groups is not None: return self._groups raw = {} for name, entries in self._raw_groups.items(): if entries and entries[0][0] == "-": entries = list(entries) entries.insert(0, ("+", "")) raw[name] = entries self._groups = _resolve_groups(raw, self._byname) return self._groups def resolve_group(self, name, *, fail=True): if name == "all": benchmarks = self._byname.values() elif name == "default": if "default" not in self._raw_groups: benchmarks = self._byname.values() else: groups = self._resolve_groups() benchmarks = groups.get(name) elif not self._custom_groups(): benchmarks = self._get_tags().get(name) if benchmarks is None and fail: raise KeyError(name) else: groups = self._resolve_groups() benchmarks = groups.get(name) if not benchmarks: if name not in self._raw_groups: benchmarks = self._get_tags().get(name, ()) elif fail: raise KeyError(name) yield from benchmarks or () def show(self, *, raw=True, resolved=True): yield self.filename yield "groups:" if raw: yield f" {self._raw_groups}" if resolved: yield f" {self.groups}" yield "default:" if resolved: for i, bench in enumerate(self.resolve_group("default")): yield f" {i:>2} {bench}" if raw: yield "benchmarks (raw):" for i, bench in enumerate(self._raw_benchmarks): yield f" {i:>2} {bench}" if resolved: yield "benchmarks:" for i, bench in enumerate(self.benchmarks): yield f" {i:>2} {bench}" ####################################### # internal implementation def _iter_sections(lines): lines = (line.split("#")[0].strip() for line in lines) name = None section = None for line in lines: if not line: continue if line.startswith("[") and line.endswith("]"): if name: yield name, section name = line[1:-1].strip() section = [] else: if not name: raise ValueError(f"expected new section, got {line!r}") section.append(line) if name: yield name, section else: raise ValueError("invalid manifest file, no sections found") def _parse_manifest_file(filename): with open(filename, encoding="utf-8") as infile: yield from _parse_manifest(infile, filename) def _parse_manifest(lines, filename): relroot = os.path.dirname(filename) for section, seclines in _iter_sections(lines): if section == "includes": yield filename, section, list(seclines) for line in seclines: if line == "": line = DEFAULT_MANIFEST else: line = _utils.resolve_file(line, relroot) yield from _parse_manifest_file(line) elif section == "benchmarks": yield filename, section, list(_parse_benchmarks_section(seclines)) elif section == "groups": yield filename, section, list(_parse_groups_section(seclines)) elif section.startswith("group "): section, _, group = section.partition(" ") entries = list(_parse_group_section(seclines)) yield filename, section, (group, entries) else: raise ValueError(f"unsupported section {section!r}") def _parse_benchmarks_section(lines): if not lines: lines = [""] lines = iter(lines) if next(lines) != BENCH_HEADER: raise ValueError("invalid manifest file, expected benchmarks table header") version = origin = None for line in lines: try: name, metafile = ( None if field == "-" else field for field in line.split("\t") ) except ValueError: raise ValueError(f"bad benchmark line {line!r}") spec = _benchmark.BenchmarkSpec(name or None, version, origin) metafile = _parse_metafile(metafile, name) yield spec, metafile def _parse_metafile(metafile, name): if not metafile: return None elif metafile.startswith("<") and metafile.endswith(">"): directive, _, extra = metafile[1:-1].partition(":") if directive == "local": if extra: rootdir = f"bm_{extra}" basename = f"bm_{name}.toml" else: rootdir = f"bm_{name}" basename = "pyproject.toml" # A relative path will be resolved against the manifset file. return os.path.join(rootdir, basename) else: raise ValueError(f"unsupported metafile directive {metafile!r}") else: return os.path.abspath(metafile) def _parse_groups_section(lines): for name in lines: _utils.check_name(name) yield name def _parse_group_section(lines): for line in lines: if line.startswith("-"): # Exclude a benchmark or group. op = "-" name = line[1:] elif line.startswith("+"): op = "+" name = line[1:] else: op = "+" name = line _benchmark.check_name(name) yield op, name def _get_tags(benchmarks): # Fill in groups from benchmark tags. tags = {} for bench in benchmarks: for tag in getattr(bench, "tags", ()): if tag in tags: tags[tag].append(bench) else: tags[tag] = [bench] return tags def _resolve_groups(rawgroups, byname): benchmarks = set(byname.values()) tags = None groups = { "all": list(benchmarks), } unresolved = {} for groupname, entries in rawgroups.items(): if groupname == "all": continue if not entries: if groupname == "default": groups[groupname] = list(benchmarks) else: if tags is None: tags = _get_tags(benchmarks) groups[groupname] = tags.get(groupname, ()) continue assert entries[0][0] == "+", (groupname, entries) unresolved[groupname] = names = set() for op, name in entries: if op == "+": if name == "": names.update(byname) elif name in byname or name in rawgroups: names.add(name) elif op == "-": if name == "": raise NotImplementedError((groupname, op, name)) elif name in byname or name in rawgroups: if name in names: names.remove(name) else: raise NotImplementedError((groupname, op, name)) while unresolved: for groupname, names in list(unresolved.items()): benchmarks = set() q = list(names) while q: name = q.pop() if name in byname: benchmarks.add(byname[name]) elif name in groups: benchmarks.update(groups[name]) elif name == groupname: pass else: # name in unresolved q.extend(unresolved[name]) groups[groupname] = benchmarks del unresolved[groupname] return groups pyperformance-1.14.0/pyperformance/_pip.py000066400000000000000000000071361514162565100206370ustar00rootroot00000000000000import os import os.path import sys from . import _utils GET_PIP_URL = "https://bootstrap.pypa.io/get-pip.py" # pip 6 is the first version supporting environment markers MIN_PIP = "6.0" OLD_SETUPTOOLS = "18.5" def get_pkg_name(req): """Return the name of the package in the given requirement text.""" # strip env markers req = req.partition(";")[0] # strip version req = req.partition("==")[0] req = req.partition(">=")[0] return req def run_pip(cmd, *args, **kwargs): """Return the result of running pip with the given args.""" return _utils.run_python("-m", "pip", cmd, *args, **kwargs) def is_pip_installed(python, *, env=None): """Return True if pip is installed on the given Python executable.""" ec, _, _ = run_pip( "--version", python=python, env=env, capture=True, verbose=False, ) return ec == 0 def install_pip( python=sys.executable, *, info=None, downloaddir=None, env=None, upgrade=True, **kwargs, ): """Install pip on the given Python executable.""" if not python: python = getattr(info, "executable", None) or sys.executable # python -m ensurepip args = ["-m", "ensurepip", "-v"] # --verbose if upgrade: args.append("-U") # --upgrade res = _utils.run_python(*args, python=python, **kwargs) ec, _, _ = res if ec == 0 and is_pip_installed(python, env=env): return res ############################## # Fall back to get-pip.py. if not downloaddir: downloaddir = "." os.makedirs(downloaddir, exist_ok=True) # download get-pip.py filename = os.path.join(downloaddir, "get-pip.py") if not os.path.exists(filename): print("Download %s into %s" % (GET_PIP_URL, filename)) _utils.download(GET_PIP_URL, filename) # python get-pip.py argv = [python, "-u", filename] res = _utils.run_cmd(argv, env=env) ec, _, _ = res if ec != 0: # get-pip.py was maybe not properly downloaded: remove it to # download it again next time os.unlink(filename) return res def upgrade_pip( python=sys.executable, *, info=None, installer=False, **kwargs, ): """Upgrade pip on the given Python to the latest version.""" if not python: python = getattr(info, "executable", None) or sys.executable # pip 6 is the first version supporting environment markers reqs = [f"pip>={MIN_PIP}"] res = install_requirements(*reqs, python=python, upgrade=True, **kwargs) ec, _, _ = res if ec != 0: return res if installer: # Upgrade installer dependencies (setuptools, ...) res = ensure_installer(python, upgrade=True, **kwargs) return res def ensure_installer(python=sys.executable, **kwargs): reqs = [ f"setuptools>={OLD_SETUPTOOLS}", # install wheel so pip can cache binary wheel packages locally, # and install prebuilt wheel packages from PyPI. "wheel", ] return install_requirements(*reqs, python=python, **kwargs) def install_requirements(reqs, *extra, upgrade=True, **kwargs): """Install the given packages from PyPI.""" args = [] if upgrade: args.append("-U") # --upgrade for reqs in [reqs, *extra]: if os.path.isfile(reqs) and reqs.endswith(".txt"): args.append("-r") # --requirement args.append(reqs) return run_pip("install", *args, **kwargs) def install_editable(projectroot, **kwargs): """Install the given project as an "editable" install.""" return run_pip("install", "-e", projectroot, **kwargs) pyperformance-1.14.0/pyperformance/_pyproject_toml.py000066400000000000000000000224631514162565100231210ustar00rootroot00000000000000# This module should be replaced with the equivalent functionality # in the PyPI "packaging" package (once it's added there). __all__ = [ "load_pyproject_toml", "parse_classifier", "parse_entry_point", "parse_person", "parse_pyproject_toml", ] import os.path import re import urllib.parse import packaging.requirements import packaging.specifiers import packaging.utils import packaging.version try: import tomllib # type: ignore[import-not-found] # tomllib doesn't exist on 3.7-3.10 except ImportError: import tomli as tomllib from ._utils import check_name NAME_RE = re.compile("^([A-Z0-9]|[A-Z0-9][A-Z0-9._-]*[A-Z0-9])$", re.IGNORECASE) def parse_person(text): # XXX return text def parse_classifier(text): # XXX Use https://pypi.org/project/packaging-classifiers. return text def parse_entry_point(text): # See: # * https://packaging.python.org/specifications/entry-points/#data-model # * https://www.python.org/dev/peps/pep-0517/#source-trees module, sep, qualname = text.partition(":") if all(p.isidentifier() for p in module.split(".")): if not sep or all(p.isidentifier() for p in qualname.split(".")): return module, qualname raise ValueError(f"invalid entry point {text!r}") def parse_pyproject_toml( text, rootdir, name=None, *, tools=None, requirefiles=True, ): data = tomllib.loads(text) unused = list(data) for section, normalize in SECTIONS.items(): try: secdata = data[section] except KeyError: data[section] = None else: data[section] = normalize( secdata, name=name, tools=tools, rootdir=rootdir, requirefiles=requirefiles, ) unused.remove(section) if unused: raise ValueError(f"unsupported sections ({', '.join(sorted(unused))})") return data def load_pyproject_toml(filename, *, name=None, tools=None, requirefiles=True): if os.path.isdir(filename): rootdir = filename filename = os.path.join(rootdir, "pyproject.toml") else: rootdir = os.path.dirname(filename) with open(filename, encoding="utf-8") as infile: text = infile.read() data = parse_pyproject_toml( text, rootdir, name, tools=tools, requirefiles=requirefiles, ) return data, filename ####################################### # internal implementation def _check_relfile(relname, rootdir, kind): if os.path.isabs(relname): raise ValueError(f"{relname!r} is absolute, expected relative") actual = os.path.join(rootdir, relname) if kind == "dir": if not os.path.isdir(actual): raise ValueError(f"directory {actual!r} does not exist") elif kind == "file": if not os.path.isfile(actual): raise ValueError(f"file {actual!r} does not exist") elif kind == "any": if not os.path.exists(actual): raise ValueError(f"{actual!r} does not exist") elif kind: raise NotImplementedError(kind) def _check_file_or_text(table, rootdir, requirefiles, extra=None): unsupported = set(table) - set(["file", "text"]) - set(extra or ()) if unsupported: raise ValueError(f"unsupported license data {table!r}") if "file" in table: if "text" in table: raise ValueError('"file" and "text" are mutually exclusive') kind = "file" if requirefiles else None _check_relfile(table["file"], rootdir, kind) def _normalize_project(data, rootdir, name, requirefiles, **_ignored): # See PEP 621. unused = set(data) ########## # First handle the required fields. name = data.get("name", name) if name: if not NAME_RE.match(name): raise ValueError(f"invalid name {name!r}") name = packaging.utils.canonicalize_name(name) data["name"] = name if "name" in unused: unused.remove("name") else: if "name" not in data.get("dynamic", []): raise ValueError('missing required "name" field') try: version = data["version"] except KeyError: if "version" not in data.get("dynamic", []): raise ValueError('missing required "version" field') else: # We keep the full version string rather than # the canonicalized form. However, we still validate and # (effectively) normalize it. version = packaging.version.parse(version) data["version"] = str(version) unused.remove("version") ########## # Now we handle the optional fields. # We leave "description" as-is. key = "readme" if key in data: readme = data[key] if isinstance(readme, str): readme = data[key] = {"file": readme} # XXX Check the suffix. # XXX Handle 'content-type'. # XXX Handle "charset" parameter. _check_file_or_text( data[key], rootdir, requirefiles, ["content-type", "charset"] ) unused.remove(key) key = "requires-python" if key in data: # We keep it as a string. data[key] = str(packaging.specifiers.SpecifierSet(data[key])) unused.remove(key) key = "license" if key in data: _check_file_or_text(data[key], rootdir, requirefiles) unused.remove(key) key = "keywords" if key in data: for keyword in data[key]: # XXX Is this the right check? check_name(name, loose=True) unused.remove(key) key = "authors" if key in data: for person in data[key]: # We only make sure it is valid. parse_person(person) unused.remove(key) key = "maintainers" if key in data: for person in data[key]: # We only make sure it is valid. parse_person(person) unused.remove(key) key = "classifiers" if key in data: for classifier in data[key]: # We only make sure it is valid. parse_classifier(classifier) unused.remove(key) key = "dependencies" if key in data: for dep in data[key]: # We only make sure it is valid. packaging.requirements.Requirement(dep) unused.remove(key) key = "optional-dependencies" if key in data: # XXX unused.remove(key) key = "urls" if key in data: for name, url in data[key].items(): # XXX Is there a stricter check? check_name(name, loose=True) # We only make sure it is valid. urllib.parse.urlparse(url) unused.remove(key) key = "scripts" if key in data: for name, value in data[key].items(): # XXX Is there a stricter check? check_name(name, loose=True) # We only make sure it is valid. parse_entry_point(value) unused.remove(key) key = "gui-scripts" if key in data: for _, value in data[key].items(): # XXX Is there a stricter check? check_name(name, loose=True) # We only make sure it is valid. parse_entry_point(value) unused.remove(key) key = "entry-points" if key in data: for groupname, group in data[key].items(): # XXX Is there a stricter check? check_name(groupname, loose=True) for epname, value in group.items(): # XXX Is there a stricter check? check_name(epname, loose=True) # We only make sure it is valid. parse_entry_point(value) unused.remove(key) key = "dynamic" if key in data: for field in data[key]: check_name(field, loose=True) # XXX Fail it isn't one of the supported fields. unused.remove(key) return data def _normalize_build_system(data, rootdir, requirefiles, **_ignored): # See PEP 518 and 517. unused = set(data) key = "requires" if key in data: reqs = data[key] for i, raw in enumerate(reqs): # We only make sure it is valid. packaging.requirements.Requirement(raw) unused.remove(key) else: raise ValueError('missing "requires" field') key = "build-backend" if key in data: # We only make sure it is valid. parse_entry_point(data[key]) unused.remove(key) key = "backend-path" if key in data: if "build-backend" not in data: raise ValueError('missing "build-backend" field') kind = "dir" if requirefiles else None for dirname in data[key]: _check_relfile(dirname, rootdir, kind=kind) unused.remove(key) if unused: raise ValueError(f"unsupported keys ({', '.join(sorted(unused))})") return data def _normalize_tool(data, tools, rootdir, **_ignored): # See PEP 518. tools = tools or {} for name, tooldata in list(data.items()): if name in tools: normalize = tools[name] data[name] = normalize(name, tooldata, rootdir=rootdir) if data[name] is None: del data[name] return data SECTIONS = { "project": _normalize_project, "build-system": _normalize_build_system, "tool": _normalize_tool, } pyperformance-1.14.0/pyperformance/_python.py000066400000000000000000000023701514162565100213630ustar00rootroot00000000000000# Generic helpers for working with a Python executable. import hashlib from pyperformance import _pythoninfo def get_id(python=None, prefix=None, *, short=True): """Return a string that uniquely identifies the given Python executable.""" if isinstance(python, str): python = _pythoninfo.get_info(python) data = [ # "executable" represents the install location # (and build, to an extent). python.sys.executable, # sys.version encodes version, git info, build_date, and build_tool. python.sys.version, python.sys.implementation.name.lower(), ".".join(str(v) for v in python.sys.implementation.version), str(python.sys.api_version), python.pyc_magic_number.hex(), ] # XXX Add git info if a dev build. h = hashlib.sha256() for value in data: h.update(value.encode("utf-8")) # XXX Also include the sorted output of "python -m pip freeze"? py_id = h.hexdigest() if short: py_id = py_id[:12] if prefix: if prefix is True: major, minor = python.sys.version_info[:2] py_id = f"{python.sys.implementation.name}{major}.{minor}-{py_id}" else: py_id = prefix + py_id return py_id pyperformance-1.14.0/pyperformance/_pythoninfo.py000066400000000000000000000123021514162565100222330ustar00rootroot00000000000000# A utility library for getting information about a Python executable. # # This may be used as a script. import importlib.util import json import os import os.path import sys import sysconfig INFO = { # sys "executable (sys)": "sys.executable", "executable (sys;realpath)": "executable_realpath", "prefix (sys)": "sys.prefix", "exec_prefix (sys)": "sys.exec_prefix", "stdlib_dir (sys)": "sys._stdlib_dir", "base_executable (sys)": "sys._base_executable", "base_prefix (sys)": "sys.base_prefix", "base_exec_prefix (sys)": "sys.base_exec_prefix", "version_str (sys)": "sys.version", "version_info (sys)": "sys.version_info", "hexversion (sys)": "sys.hexversion", "api_version (sys)": "sys.api_version", "implementation_name (sys)": "sys.implementation.name", "implementation_version (sys)": "sys.implementation.version", "platform (sys)": "sys.platform", # sysconfig "stdlib_dir (sysconfig)": "sysconfig.paths.stdlib", "is_dev (sysconfig)": "sysconfig.is_python_build", # other "base_executable": "base_executable", "stdlib_dir": "stdlib_dir", "pyc_magic_number": "pyc_magic_number", "is_venv": "is_venv", } def get_info(python=sys.executable): """Return an object with details about the given Python executable. Most of the details are grouped by their source. By default the current Python is used. """ if python and python != sys.executable: # Run _pythoninfo.py to get the raw info. import subprocess argv = [python, __file__] try: text = subprocess.check_output(argv, encoding="utf-8") except subprocess.CalledProcessError: raise Exception(f"could not get info for {python or sys.executable}") data = _unjsonify_info(text) else: data = _get_current_info() return _build_info(data) def _build_info(data): # Map the data into a new types.SimpleNamespace object. info = type(sys.implementation)() for key, value in data.items(): try: field = INFO[key] except KeyError: raise NotImplementedError(repr(key)) parent = info while "." in field: pname, _, field = field.partition(".") try: parent = getattr(parent, pname) except AttributeError: setattr(parent, pname, type(sys.implementation)()) parent = getattr(parent, pname) setattr(parent, field, value) return info def _get_current_info(): is_venv = sys.prefix != sys.base_prefix base_executable = getattr(sys, "_base_executable", None) if is_venv: # XXX There is probably a bug related to venv, since # sys._base_executable should be different. if base_executable == sys.executable: # Indicate that we don't know. base_executable = None elif not base_executable: base_executable = sys.executable info = { # locations "executable (sys)": sys.executable, "executable (sys;realpath)": os.path.realpath(sys.executable), "prefix (sys)": sys.prefix, "exec_prefix (sys)": sys.exec_prefix, "stdlib_dir": os.path.dirname(os.__file__), "stdlib_dir (sys)": getattr(sys, "_stdlib_dir", None), "stdlib_dir (sysconfig)": ( sysconfig.get_path("stdlib") if "stdlib" in sysconfig.get_path_names() else None ), # base locations "base_executable": base_executable, "base_executable (sys)": getattr(sys, "_base_executable", None), "base_prefix (sys)": sys.base_prefix, "base_exec_prefix (sys)": sys.base_exec_prefix, # version "version_str (sys)": sys.version, "version_info (sys)": sys.version_info, "hexversion (sys)": sys.hexversion, "api_version (sys)": sys.api_version, # implementation "implementation_name (sys)": sys.implementation.name, "implementation_version (sys)": sys.implementation.version, # build "is_dev (sysconfig)": sysconfig.is_python_build(), # host "platform (sys)": sys.platform, # virtual envs "is_venv": is_venv, # import system # importlib.util.MAGIC_NUMBER has been around since 3.5. "pyc_magic_number": importlib.util.MAGIC_NUMBER, } return info def _jsonify_info(info): data = dict(info) if isinstance(data["pyc_magic_number"], bytes): data["pyc_magic_number"] = data["pyc_magic_number"].hex() return data def _unjsonify_info(data): if isinstance(data, str): data = json.loads(data) info = dict(data) for key in ("version_info (sys)", "implementation_version (sys)"): if isinstance(info[key], list): # We would use type(sys.version_info) if it allowed it. info[key] = tuple(info[key]) for key in ("pyc_magic_number",): if isinstance(info[key], str): info[key] = bytes.fromhex(data[key]) return info ####################################### # use as a script if __name__ == "__main__": info = _get_current_info() data = _jsonify_info(info) json.dump(data, sys.stdout, indent=4) print() pyperformance-1.14.0/pyperformance/_utils.py000066400000000000000000000136061514162565100212060ustar00rootroot00000000000000__all__ = [ # noqa: RUF022 # filesystem "check_dir", "check_file", "temporary_file", # platform "MS_WINDOWS", # misc "check_name", "iter_clean_lines", "parse_name_pattern", "parse_selections", "parse_tag_pattern", ] ####################################### # filesystem utils import contextlib import errno import os import os.path import shlex import shutil import subprocess import sys import tempfile import urllib.request @contextlib.contextmanager def temporary_file(): tmp_filename = tempfile.mktemp() try: yield tmp_filename finally: try: os.unlink(tmp_filename) except OSError as exc: if exc.errno != errno.ENOENT: raise def check_file(filename): if not os.path.isabs(filename): raise ValueError(f"expected absolute path, got {filename!r}") if not os.path.isfile(filename): raise ValueError(f"file missing ({filename})") def check_dir(dirname): if not os.path.isabs(dirname): raise ValueError(f"expected absolute path, got {dirname!r}") if not os.path.isdir(dirname): raise ValueError(f"directory missing ({dirname})") def resolve_file(filename, relroot=None): resolved = os.path.normpath(filename) resolved = os.path.expanduser(resolved) # resolved = os.path.expandvars(filename) if not os.path.isabs(resolved): if not relroot: relroot = os.getcwd() elif not os.path.isabs(relroot): raise NotImplementedError(relroot) resolved = os.path.join(relroot, resolved) return resolved def safe_rmtree(path): if not os.path.exists(path): return False print("Remove directory %s" % path) # XXX Pass onerror to report on any files that could not be deleted? shutil.rmtree(path) return True ####################################### # platform utils MS_WINDOWS = sys.platform == "win32" def run_cmd(argv, *, env=None, capture=None, verbose=True): try: cmdstr = " ".join(shlex.quote(a) for a in argv) except TypeError: print(argv) raise # re-raise if capture is True: capture = "both" kw = dict( env=env, ) if capture == "both": kw.update( dict( stdout=subprocess.PIPE, stderr=subprocess.PIPE, ) ) elif capture == "combined": kw.update( dict( stdout=subprocess.PIPE, stderr=subprocess.STDOUT, ) ) elif capture == "stdout": kw.update( dict( stdout=subprocess.PIPE, ) ) elif capture == "stderr": kw.update( dict( stderr=subprocess.PIPE, ) ) elif capture: raise NotImplementedError(repr(capture)) if capture: kw.update( dict( encoding="utf-8", ) ) # XXX Use a logger. if verbose: print("#", cmdstr) # Explicitly flush standard streams, required if streams are buffered # (not TTY) to write lines in the expected order sys.stdout.flush() sys.stderr.flush() try: proc = subprocess.run(argv, **kw) except OSError as exc: if exc.errno == errno.ENOENT: if verbose: print("command failed (not found)") return 127, None, None raise if proc.returncode != 0 and verbose: print(f"Command failed with exit code {proc.returncode}") return proc.returncode, proc.stdout, proc.stderr def run_python(*args, python=sys.executable, **kwargs): if not isinstance(python, str) and python is not None: try: # See _pythoninfo.get_info(). python = python.sys.executable except AttributeError: raise TypeError(f"expected python str, got {python!r}") return run_cmd([python, *args], **kwargs) ####################################### # network utils def download(url, filename): response = urllib.request.urlopen(url) with response: content = response.read() with open(filename, "wb") as fp: fp.write(content) fp.flush() ####################################### # misc utils def check_name(name, *, loose=False, allownumeric=False): if not name or not isinstance(name, str): raise ValueError(f"bad name {name!r}") if allownumeric: name = f"_{name}" if not loose: if name.startswith("-"): raise ValueError(name) if not name.replace("-", "_").isidentifier(): raise ValueError(name) def parse_name_pattern(text, *, fail=True): name = text # XXX Support globs and/or regexes? (return a callable) try: check_name("_" + name) except Exception: if fail: raise # re-raise return None return name def parse_tag_pattern(text): if not text.startswith("<"): return None if not text.endswith(">"): return None tag = text[1:-1] # XXX Support globs and/or regexes? (return a callable) check_name(tag) return tag def parse_selections(selections, parse_entry=None): if isinstance(selections, str): selections = selections.split(",") if parse_entry is None: def parse_entry(o, e): return (o, e, None, e) for entry in selections: entry = entry.strip() if not entry: continue op = "+" if entry.startswith("-"): op = "-" entry = entry[1:] yield parse_entry(op, entry) def iter_clean_lines(filename): with open(filename, encoding="utf-8") as reqsfile: for line in reqsfile: # strip comment line = line.partition("#")[0] line = line.rstrip() if not line: continue yield line pyperformance-1.14.0/pyperformance/_venv.py000066400000000000000000000164371514162565100210310ustar00rootroot00000000000000# Helpers for working with venvs. import os import os.path import sys import types from . import _pip, _pythoninfo, _utils class VenvCreationFailedError(Exception): def __init__(self, root, exitcode, already_existed): super().__init__(f"venv creation failed ({root})") self.root = root self.exitcode = exitcode self.already_existed = already_existed class VenvPipInstallFailedError(Exception): def __init__(self, root, exitcode, msg=None): super().__init__(msg or f"failed to install pip in venv {root}") self.root = root self.exitcode = exitcode class RequirementsInstallationFailedError(Exception): pass def read_venv_config(root=None): """Return the config for the given venv, from its pyvenv.cfg file.""" if not root: if sys.prefix == sys.base_prefix: raise Exception("current Python is not a venv") root = sys.prefix cfgfile = os.path.join(root, "pyvenv.cfg") with open(cfgfile, encoding="utf-8") as infile: text = infile.read() return parse_venv_config(text, root) def parse_venv_config(lines, root=None): if isinstance(lines, str): lines = lines.splitlines() else: lines = (line.rstrip(os.linesep) for line in lines) cfg = types.SimpleNamespace( home=None, version=None, system_site_packages=None, prompt=None, executable=None, command=None, ) fields = set(vars(cfg)) for line in lines: # We do not validate the lines. name, sep, value = line.partition("=") if not sep: continue # We do not check for duplicate names. name = name.strip().lower() if name == "include-system-site-packages": name = "system_site_packages" if name not in fields: # XXX Preserve this anyway? continue value = value.lstrip() if name == "system_site_packages": value = value == "true" setattr(cfg, name, value) return cfg def resolve_venv_python(root): python_exe = "python" if sys.executable.endswith(".exe"): python_exe += ".exe" if os.name == "nt": return os.path.join(root, "Scripts", python_exe) else: return os.path.join(root, "bin", python_exe) def get_venv_root(name=None, venvsdir="venv", *, python=sys.executable): """Return the venv root to use for the given name (or given python).""" if not name: from .run import get_run_id runid = get_run_id(python) name = runid.name return os.path.abspath( os.path.join(venvsdir or ".", name), ) def venv_exists(root): venv_python = resolve_venv_python(root) return os.path.exists(venv_python) def create_venv( root, python=sys.executable, *, env=None, downloaddir=None, withpip=True, cleanonfail=True, ): """Create a new venv at the given root, optionally installing pip.""" already_existed = os.path.exists(root) if withpip: args = ["-m", "venv", root] else: args = ["-m", "venv", "--without-pip", root] ec, _, _ = _utils.run_python(*args, python=python, env=env) if ec != 0: if cleanonfail and not already_existed: _utils.safe_rmtree(root) raise VenvCreationFailedError(root, ec, already_existed) return resolve_venv_python(root) class VirtualEnvironment: _env = None @classmethod def create(cls, root=None, python=sys.executable, **kwargs): if not python: python = sys.executable if isinstance(python, str): try: info = _pythoninfo.get_info(python) except FileNotFoundError: info = None else: info = python if not root: root = get_venv_root(python=info) print("Creating the virtual environment %s" % root) if venv_exists(root): raise Exception(f"virtual environment {root} already exists") try: venv_python = create_venv(root, info or python, **kwargs) except BaseException: _utils.safe_rmtree(root) raise # re-raise if not info: info = _pythoninfo.get_info(python) self = cls(root, base=info) self._python = venv_python return self @classmethod def ensure(cls, root, python=None, **kwargs): if venv_exists(root): return cls(root) else: return cls.create(root, python, **kwargs) def __init__(self, root, *, base=None): assert os.path.exists(resolve_venv_python(root)), root self.root = root if base: self._base = base @property def python(self): try: return self._python except AttributeError: if not getattr(self, "_info", None): return resolve_venv_python(self.root) self._python = self.info.sys.executable return self._python @property def info(self): try: return self._info except AttributeError: try: python = self._python except AttributeError: python = resolve_venv_python(self.root) self._info = _pythoninfo.get_info(python) return self._info @property def base(self): try: return self._base except AttributeError: base_exe = self.info.sys._base_executable if not base_exe and base_exe != self.info.sys.executable: # XXX Use read_venv_config(). raise NotImplementedError base_exe = ... self._base = _pythoninfo.get_info(base_exe) return self._base def ensure_pip(self, downloaddir=None, *, installer=True, upgrade=True): if not upgrade and _pip.is_pip_installed(self.python, env=self._env): return ec, _, _ = _pip.install_pip( self.python, info=self.info, downloaddir=downloaddir or self.root, env=self._env, upgrade=upgrade, ) if ec != 0: raise VenvPipInstallFailedError(self.root, ec) elif not _pip.is_pip_installed(self.python, env=self._env): raise VenvPipInstallFailedError(self.root, 0, "pip doesn't work") if installer: # Upgrade installer dependencies (setuptools, ...) ec, _, _ = _pip.ensure_installer( self.python, env=self._env, upgrade=True, ) if ec != 0: raise RequirementsInstallationFailedError("wheel") def upgrade_pip(self, *, installer=True): ec, _, _ = _pip.upgrade_pip( self.python, info=self.info, env=self._env, installer=installer, ) if ec != 0: raise RequirementsInstallationFailedError("pip") def ensure_reqs(self, *reqs, upgrade=True): print("Installing requirements into the virtual environment %s" % self.root) ec, _, _ = _pip.install_requirements( *reqs, python=self.python, env=self._env, upgrade=upgrade, ) if ec: raise RequirementsInstallationFailedError(reqs) pyperformance-1.14.0/pyperformance/cli.py000066400000000000000000000322741514162565100204600ustar00rootroot00000000000000import argparse import logging import os.path import sys from pyperf import _hooks from pyperformance import __version__, _utils, is_dev, is_installed from pyperformance.commands import ( cmd_compare, cmd_compile, cmd_compile_all, cmd_list, cmd_list_groups, cmd_run, cmd_show, cmd_upload, cmd_venv_create, cmd_venv_recreate, cmd_venv_remove, cmd_venv_show, ) def comma_separated(values): values = [value.strip() for value in values.split(",")] return list(filter(None, values)) def check_positive(value): value = int(value) if value <= 0: raise argparse.ArgumentTypeError("Argument must a be positive integer.") return value def filter_opts(cmd, *, allow_no_benchmarks=False): cmd.add_argument("--manifest", help="benchmark manifest file to use") cmd.add_argument( "-b", "--benchmarks", metavar="BM_LIST", default="", help=( "Comma-separated list of benchmarks or groups to run. Can" " contain both positive and negative arguments:" " --benchmarks=run_this,also_this,-not_this. If" " there are no positive arguments, we'll run all" " benchmarks except the negative arguments. " " Otherwise we run only the positive arguments." ), ) cmd.set_defaults(allow_no_benchmarks=allow_no_benchmarks) def parse_args(): parser = argparse.ArgumentParser( prog="pyperformance", description=( "Compares the performance of baseline_python with" " changed_python and prints a report." ), ) parser.add_argument( "-V", "--version", action="version", version=f"%(prog)s {__version__}" ) subparsers = parser.add_subparsers(dest="action") cmds = [] # run cmd = subparsers.add_parser("run", help="Run benchmarks on the running python") cmds.append(cmd) cmd.add_argument( "-r", "--rigorous", action="store_true", help=("Spend longer running tests to get more accurate results"), ) cmd.add_argument( "-f", "--fast", action="store_true", help="Get rough answers quickly" ) cmd.add_argument( "--debug-single-value", action="store_true", help="Debug: fastest mode, only compute a single value", ) cmd.add_argument("-v", "--verbose", action="store_true", help="Print more output") cmd.add_argument( "-m", "--track-memory", action="store_true", help="Track memory usage. This only works on Linux.", ) cmd.add_argument( "--affinity", metavar="CPU_LIST", default=None, help=( "Specify CPU affinity for benchmark runs. This " "way, benchmarks can be forced to run on a given " "CPU to minimize run to run variation." ), ) cmd.add_argument( "-o", "--output", metavar="FILENAME", help="Run the benchmarks on only one interpreter and " "write benchmark into FILENAME. " "Provide only baseline_python, not changed_python.", ) cmd.add_argument( "--append", metavar="FILENAME", help="Add runs to an existing file, or create it if it doesn't exist", ) cmd.add_argument( "--min-time", metavar="MIN_TIME", help="Minimum duration in seconds of a single " "value, used to calibrate the number of loops", ) cmd.add_argument( "--same-loops", help="Use the same number of loops as a previous run " "(i.e., don't recalibrate). Should be a path to a " ".json file from a previous run.", ) cmd.add_argument( "--timeout", help="Specify a timeout in seconds for a single " "benchmark run (default: disabled)", type=check_positive, ) hook_names = list(_hooks.get_hook_names()) cmd.add_argument( "--hook", action="append", choices=hook_names, metavar=f"{', '.join(x for x in hook_names if not x.startswith('_'))}", help="Apply the given pyperf hook(s) when running each benchmark", ) cmd.add_argument( "--warmups", type=int, default=None, help="number of skipped values per run used to warmup the benchmark", ) filter_opts(cmd) # show cmd = subparsers.add_parser("show", help="Display a benchmark file") cmd.add_argument("filename", metavar="FILENAME") # compare cmd = subparsers.add_parser("compare", help="Compare two benchmark files") cmds.append(cmd) cmd.add_argument("-v", "--verbose", action="store_true", help="Print more output") cmd.add_argument( "-O", "--output_style", metavar="STYLE", choices=("normal", "table"), default="normal", help=( "What style the benchmark output should take." " Valid options are 'normal' and 'table'." " Default is normal." ), ) cmd.add_argument( "--csv", metavar="CSV_FILE", action="store", default=None, help=( "Name of a file the results will be written to," " as a three-column CSV file containing minimum" " runtimes for each benchmark." ), ) cmd.add_argument("baseline_filename", metavar="baseline_file.json") cmd.add_argument("changed_filename", metavar="changed_file.json") # list cmd = subparsers.add_parser("list", help="List benchmarks of the running Python") cmds.append(cmd) filter_opts(cmd) # list_groups cmd = subparsers.add_parser( "list_groups", help="List benchmark groups of the running Python" ) cmds.append(cmd) cmd.add_argument("--manifest", help="benchmark manifest file to use") cmd.add_argument("--tags", action="store_true") cmd.add_argument("--no-tags", dest="tags", action="store_false") cmd.set_defaults(tags=True) # compile cmd = subparsers.add_parser( "compile", help="Compile and install CPython and run benchmarks on installed Python", ) cmd.add_argument("config_file", help="Configuration filename") cmd.add_argument("revision", help="Python benchmarked revision") cmd.add_argument("branch", nargs="?", help="Git branch") cmd.add_argument("--patch", help="Patch file") cmd.add_argument( "-U", "--no-update", action="store_true", help="Don't update the Git repository" ) cmd.add_argument( "-T", "--no-tune", action="store_true", help="Don't run 'pyperf system tune' to tune the system for benchmarks", ) cmds.append(cmd) # compile_all cmd = subparsers.add_parser( "compile_all", help="Compile and install CPython and run benchmarks " "on installed Python on all branches and revisions " "of CONFIG_FILE", ) cmd.add_argument("config_file", help="Configuration filename") cmds.append(cmd) # upload cmd = subparsers.add_parser( "upload", help="Upload JSON results to a Codespeed website" ) cmd.add_argument("config_file", help="Configuration filename") cmd.add_argument("json_file", help="JSON filename") cmds.append(cmd) # venv venv_common = argparse.ArgumentParser(add_help=False) venv_common.add_argument("--venv", help="Path to the virtual environment") cmd = subparsers.add_parser( "venv", parents=[venv_common], help="Actions on the virtual environment" ) cmd.set_defaults(venv_action="show") venvsubs = cmd.add_subparsers(dest="venv_action") cmd = venvsubs.add_parser("show", parents=[venv_common]) cmds.append(cmd) cmd = venvsubs.add_parser("create", parents=[venv_common]) filter_opts(cmd, allow_no_benchmarks=True) cmds.append(cmd) cmd = venvsubs.add_parser("recreate", parents=[venv_common]) filter_opts(cmd, allow_no_benchmarks=True) cmds.append(cmd) cmd = venvsubs.add_parser("remove", parents=[venv_common]) cmds.append(cmd) for cmd in cmds: cmd.add_argument( "--inherit-environ", metavar="VAR_LIST", type=comma_separated, help=( "Comma-separated list of environment variable " "names that are inherited from the parent " "environment when running benchmarking " "subprocesses." ), ) cmd.add_argument( "-p", "--python", help="Python executable (default: use running Python)", default=sys.executable, ) options = parser.parse_args() if options.action == "run" and options.debug_single_value: options.fast = True if not options.action: # an action is mandatory parser.print_help() sys.exit(1) if hasattr(options, "python"): # Replace "~" with the user home directory options.python = os.path.expanduser(options.python) # Try to get the absolute path to the binary abs_python = os.path.abspath(options.python) if not abs_python: print( "ERROR: Unable to locate the Python executable: %r" % options.python, flush=True, ) sys.exit(1) options.python = abs_python if hasattr(options, "benchmarks"): if options.benchmarks == "": if not options.allow_no_benchmarks: parser.error("--benchmarks cannot be empty") options.benchmarks = None return (parser, options) def _manifest_from_options(options): from pyperformance import _manifest return _manifest.load_manifest(options.manifest) def _benchmarks_from_options(options): if not getattr(options, "benchmarks", None): return None manifest = _manifest_from_options(options) return _select_benchmarks(options.benchmarks, manifest) def _select_benchmarks(raw, manifest): from pyperformance import _benchmark_selections # Get the raw list of benchmarks. entries = raw.lower() def parse_entry(o, s): return _benchmark_selections.parse_selection(s, op=o) parsed = _utils.parse_selections(entries, parse_entry) parsed_infos = list(parsed) # Disallow negative groups. for op, _, kind, parsed in parsed_infos: if callable(parsed): continue name = parsed.name if kind == "benchmark" else parsed if name in manifest.groups and op == "-": raise ValueError(f"negative groups not supported: -{parsed.name}") # Get the selections. selected = [] this_python_version = ".".join(map(str, sys.version_info[:3])) for bench in _benchmark_selections.iter_selections(manifest, parsed_infos): if isinstance(bench, str): logging.warning(f"no benchmark named {bench!r}") continue # Filter out any benchmarks that can't be run on the Python version we're running if this_python_version in bench.python: selected.append(bench) return selected def _main(): if not is_installed(): # Always require a local checkout to be installed. print("ERROR: pyperformance should not be run without installing first") if is_dev(): print("(consider using the dev.py script)") sys.exit(1) parser, options = parse_args() if options.action == "venv": from . import _pythoninfo, _venv if not options.venv: info = _pythoninfo.get_info(options.python) root = _venv.get_venv_root(python=info) else: root = options.venv info = None action = options.venv_action if action == "create": benchmarks = _benchmarks_from_options(options) cmd_venv_create(options, root, info, benchmarks) elif action == "recreate": benchmarks = _benchmarks_from_options(options) cmd_venv_recreate(options, root, info, benchmarks) elif action == "remove": cmd_venv_remove(options, root) elif action == "show": cmd_venv_show(options, root) else: print(f"ERROR: unsupported venv command action {action!r}") parser.print_help() sys.exit(1) elif options.action == "compile": cmd_compile(options) sys.exit() elif options.action == "compile_all": cmd_compile_all(options) sys.exit() elif options.action == "upload": cmd_upload(options) sys.exit() elif options.action == "show": cmd_show(options) sys.exit() elif options.action == "run": benchmarks = _benchmarks_from_options(options) cmd_run(options, benchmarks) elif options.action == "compare": cmd_compare(options) elif options.action == "list": benchmarks = _benchmarks_from_options(options) cmd_list(options, benchmarks) elif options.action == "list_groups": manifest = _manifest_from_options(options) cmd_list_groups(manifest, showtags=options.tags) else: parser.print_help() sys.exit(1) def main(): try: _main() except KeyboardInterrupt: print("Benchmark suite interrupted: exit!", flush=True) sys.exit(1) pyperformance-1.14.0/pyperformance/commands.py000066400000000000000000000170221514162565100215040ustar00rootroot00000000000000import logging import os.path import sys def cmd_list(options, benchmarks): print("%r benchmarks:" % options.benchmarks) for bench in sorted(benchmarks): print("- %s" % bench.name) print() print("Total: %s benchmarks" % len(benchmarks)) def cmd_list_groups(manifest, *, showtags=True): all_benchmarks = set(manifest.benchmarks) groups = sorted(manifest.groups - {"all", "default"}) groups[0:0] = ["all", "default"] for group in groups: specs = list(manifest.resolve_group(group)) known = set(specs) & all_benchmarks if not known: # skip empty groups continue print("%s (%s):" % (group, len(specs))) for spec in sorted(specs): print("- %s" % spec.name) print() if showtags: print("=============================") print() print("tags:") print() tags = sorted(manifest.tags or ()) if not tags: print("(no tags)") else: for tag in tags: specs = list(manifest.resolve_group(tag)) known = set(specs) & all_benchmarks if not known: # skip empty groups continue print("%s (%s):" % (tag, len(specs))) for spec in sorted(specs): print("- %s" % spec.name) print() def cmd_venv_create(options, root, python, benchmarks): from . import _venv from .venv import Requirements, VenvForBenchmarks if _venv.venv_exists(root): sys.exit(f"ERROR: the virtual environment already exists at {root}") requirements = Requirements.from_benchmarks(benchmarks) venv = VenvForBenchmarks.ensure( root, python or sys.executable, inherit_environ=options.inherit_environ, ) venv.ensure_pip() try: venv.install_pyperformance() venv.ensure_reqs(requirements) except _venv.RequirementsInstallationFailedError: sys.exit(1) print("The virtual environment %s has been created" % root) def cmd_venv_recreate(options, root, python, benchmarks): from . import _utils, _venv from .venv import Requirements, VenvForBenchmarks requirements = Requirements.from_benchmarks(benchmarks) if _venv.venv_exists(root): venv_python = _venv.resolve_venv_python(root) if venv_python == sys.executable: print("The virtual environment %s already exists" % root) print("(it matches the currently running Python executable)") venv = VenvForBenchmarks( root, inherit_environ=options.inherit_environ, ) venv.ensure_pip() try: venv.ensure_reqs(requirements) except _venv.RequirementsInstallationFailedError: sys.exit(1) else: print("The virtual environment %s already exists" % root) _utils.safe_rmtree(root) print("The old virtual environment %s has been removed" % root) print() venv = VenvForBenchmarks.ensure( root, python or sys.executable, inherit_environ=options.inherit_environ, ) venv.ensure_pip() try: venv.install_pyperformance() venv.ensure_reqs(requirements) except _venv.RequirementsInstallationFailedError: sys.exit(1) print("The virtual environment %s has been recreated" % root) else: venv = VenvForBenchmarks.create( root, python or sys.executable, inherit_environ=options.inherit_environ, ) venv.ensure_pip() try: venv.install_pyperformance() venv.ensure_reqs(requirements) except _venv.RequirementsInstallationFailedError: sys.exit(1) print("The virtual environment %s has been created" % root) def cmd_venv_remove(options, root): from . import _utils if _utils.safe_rmtree(root): print("The virtual environment %s has been removed" % root) else: print("The virtual environment %s does not exist" % root) def cmd_venv_show(options, root): from . import _venv exists = _venv.venv_exists(root) text = "Virtual environment path: %s" % root if exists: text += " (already created)" else: text += " (not created yet)" print(text) if not exists: print() print("Command to create it:") cmd = "%s -m pyperformance venv create" % options.python if options.venv: cmd += " --venv=%s" % options.venv print(cmd) def cmd_run(options, benchmarks): import pyperf import pyperformance from .compare import display_benchmark_suite from .run import run_benchmarks logging.basicConfig(level=logging.INFO) print("Python benchmark suite %s" % pyperformance.__version__) print() if options.output and os.path.exists(options.output): print("ERROR: the output file %s already exists!" % options.output) sys.exit(1) if hasattr(options, "python"): executable = options.python else: executable = sys.executable if not os.path.isabs(executable): print('ERROR: "%s" is not an absolute path' % executable) sys.exit(1) suite, errors = run_benchmarks(benchmarks, executable, options) if not suite: print("ERROR: No benchmark was run") sys.exit(1) if options.output: suite.dump(options.output) if options.append: pyperf.add_runs(options.append, suite) display_benchmark_suite(suite) if errors: print("%s benchmarks failed:" % len(errors)) for name, reason in errors: print("- %s (%s)" % (name, reason)) print() sys.exit(1) def cmd_compile(options): from .compile import BenchmarkRevision, parse_config conf = parse_config(options.config_file, "compile") if options is not None: if options.no_update: conf.update = False if options.no_tune: conf.system_tune = False bench = BenchmarkRevision( conf, options.revision, options.branch, patch=options.patch, options=options ) bench.main() def cmd_compile_all(options): from .compile import BenchmarkAll bench = BenchmarkAll(options.config_file, options=options) bench.main() def cmd_upload(options): import pyperf from .compile import BenchmarkRevision, parse_config, parse_date conf = parse_config(options.config_file, "upload") filename = options.json_file bench = pyperf.BenchmarkSuite.load(filename) metadata = bench.get_metadata() revision = metadata["commit_id"] branch = metadata["commit_branch"] commit_date = parse_date(metadata["commit_date"]) bench = BenchmarkRevision( conf, revision, branch, filename=filename, commit_date=commit_date, setup_log=False, options=options, ) bench.upload() def cmd_show(options): import pyperf from .compare import display_benchmark_suite suite = pyperf.BenchmarkSuite.load(options.filename) display_benchmark_suite(suite) def cmd_compare(options): from .compare import VersionMismatchError, compare_results, write_csv try: results = compare_results(options) except VersionMismatchError as exc: print(f"ERROR: {exc}") sys.exit(1) if options.csv: write_csv(results, options.csv) pyperformance-1.14.0/pyperformance/compare.py000066400000000000000000000312001514162565100213230ustar00rootroot00000000000000import csv import math import os.path import statistics import pyperf NO_VERSION = "" class VersionMismatchError(Exception): def __init__(self, version1, version2): super().__init__( f"Performance versions are different ({version1} != {version2})", ) self.version1 = version1 self.version2 = version2 def format_result(bench): mean = bench.mean() if bench.get_nvalue() >= 2: args = bench.format_values((mean, bench.stdev())) return "Mean +- std dev: %s +- %s" % args else: return bench.format_value(mean) # A table of 95% confidence intervals for a two-tailed t distribution, as a # function of the degrees of freedom. For larger degrees of freedom, we # approximate. While this may look less elegant than simply calculating the # critical value, those calculations suck. Look at # http://www.math.unb.ca/~knight/utility/t-table.htm if you need more values. _T_DIST_95_CONF_LEVELS = [ 0, 12.706, 4.303, 3.182, 2.776, 2.571, 2.447, 2.365, 2.306, 2.262, 2.228, 2.201, 2.179, 2.160, 2.145, 2.131, 2.120, 2.110, 2.101, 2.093, 2.086, 2.080, 2.074, 2.069, 2.064, 2.060, 2.056, 2.052, 2.048, 2.045, 2.042, ] def tdist95conf_level(df): """Approximate the 95% confidence interval for Student's T distribution. Given the degrees of freedom, returns an approximation to the 95% confidence interval for the Student's T distribution. Args: df: An integer, the number of degrees of freedom. Returns: A float. """ df = int(round(df)) highest_table_df = len(_T_DIST_95_CONF_LEVELS) if df >= 200: return 1.960 if df >= 100: return 1.984 if df >= 80: return 1.990 if df >= 60: return 2.000 if df >= 50: return 2.009 if df >= 40: return 2.021 if df >= highest_table_df: return _T_DIST_95_CONF_LEVELS[highest_table_df - 1] return _T_DIST_95_CONF_LEVELS[df] def pooled_sample_variance(sample1, sample2): """Find the pooled sample variance for two samples. Args: sample1: one sample. sample2: the other sample. Returns: Pooled sample variance, as a float. """ deg_freedom = len(sample1) + len(sample2) - 2 mean1 = statistics.mean(sample1) squares1 = ((x - mean1) ** 2 for x in sample1) mean2 = statistics.mean(sample2) squares2 = ((x - mean2) ** 2 for x in sample2) return (math.fsum(squares1) + math.fsum(squares2)) / float(deg_freedom) def tscore(sample1, sample2): """Calculate a t-test score for the difference between two samples. Args: sample1: one sample. sample2: the other sample. Returns: The t-test score, as a float. """ if len(sample1) != len(sample2): raise ValueError("different number of values") error = pooled_sample_variance(sample1, sample2) / len(sample1) diff = statistics.mean(sample1) - statistics.mean(sample2) return diff / math.sqrt(error * 2) def is_significant(sample1, sample2): """Determine whether two samples differ significantly. This uses a Student's two-sample, two-tailed t-test with alpha=0.95. Args: sample1: one sample. sample2: the other sample. Returns: (significant, t_score) where significant is a bool indicating whether the two samples differ significantly; t_score is the score from the two-sample T test. """ deg_freedom = len(sample1) + len(sample2) - 2 critical_value = tdist95conf_level(deg_freedom) t_score = tscore(sample1, sample2) return (abs(t_score) >= critical_value, t_score) def significant_msg(base, changed): if base.get_nvalue() < 2 or changed.get_nvalue() < 2: return "(benchmark only contains a single value)" avg_base = base.mean() avg_changed = changed.mean() msg = "Not significant" significant = False # Due to inherent measurement imprecisions, variations of less than 1% # are automatically considered insignificant. This helps present # a clear picture to the user. if abs(avg_base - avg_changed) > (avg_base + avg_changed) * 0.01: base_times = base.get_values() changed_times = changed.get_values() significant, t_score = is_significant(base_times, changed_times) if significant: msg = "Significant (t=%.2f)" % t_score return msg def format_table(base_label, changed_label, results): table = [("Benchmark", base_label, changed_label, "Change", "Significance")] for bench_name, result in results: format_value = result.base.format_value avg_base = result.base.mean() avg_changed = result.changed.mean() delta_avg = quantity_delta(result.base, result.changed) msg = significant_msg(result.base, result.changed) table.append( ( bench_name, # Limit the precision for conciseness in the table. format_value(avg_base), format_value(avg_changed), delta_avg, msg, ) ) # Columns with None values are skipped skipped_cols = set() col_widths = [0] * len(table[0]) for row in table: for col, val in enumerate(row): if val is None: skipped_cols.add(col) continue col_widths[col] = max(col_widths[col], len(val)) outside_line = "+" header_sep_line = "+" for col, width in enumerate(col_widths): if col in skipped_cols: continue width += 2 # Compensate for the left and right padding spaces. outside_line += "-" * width + "+" header_sep_line += "=" * width + "+" output = [outside_line] for row_i, row in enumerate(table): output_row = [] for col_i, val in enumerate(row): if col_i in skipped_cols: continue output_row.append("| " + val.ljust(col_widths[col_i]) + " ") output.append("".join(output_row) + "|") if row_i > 0: output.append(outside_line) output.insert(2, "".join(header_sep_line)) return "\n".join(output) class BenchmarkResult(object): """An object representing data from a succesful benchmark run.""" def __init__(self, base, changed): name = base.get_name() name2 = changed.get_name() if name2 != name: raise ValueError("not the same benchmark: %s != %s" % (name, name2)) if base.get_nvalue() != changed.get_nvalue(): raise RuntimeError("base and changed don't have the same number of values") self.base = base self.changed = changed def __str__(self): if self.base.get_nvalue() > 1: values = ( self.base.mean(), self.base.stdev(), self.changed.mean(), self.changed.stdev(), ) text = "%s +- %s -> %s +- %s" % self.base.format_values(values) msg = significant_msg(self.base, self.changed) delta_avg = quantity_delta(self.base, self.changed) return "Mean +- std dev: %s: %s\n%s" % (text, delta_avg, msg) else: format_value = self.base.format_value base = self.base.mean() changed = self.changed.mean() delta_avg = quantity_delta(self.base, self.changed) return "%s -> %s: %s" % ( format_value(base), format_value(changed), delta_avg, ) def quantity_delta(base, changed): old = base.mean() new = changed.mean() is_time = base.get_unit() == "second" if old == 0 or new == 0: return "incomparable (one result was zero)" if new > old: if is_time: return "%.2fx slower" % (new / old) else: return "%.2fx larger" % (new / old) elif new < old: if is_time: return "%.2fx faster" % (old / new) else: return "%.2fx smaller" % (old / new) else: return "no change" def display_suite_metadata(suite, title=None): metadata = suite.get_metadata() empty = True for key, fmt in ( ("performance_version", "Performance version: %s"), ("python_version", "Python version: %s"), ("platform", "Report on %s"), ("cpu_count", "Number of logical CPUs: %s"), ): if key not in metadata: continue empty = False if title: print(title) print("=" * len(title)) print() title = None text = fmt % metadata[key] print(text) dates = suite.get_dates() if dates: print("Start date: %s" % dates[0].isoformat(" ")) print("End date: %s" % dates[1].isoformat(" ")) empty = False if not empty: print() def display_benchmark_suite(suite): display_suite_metadata(suite) for bench in suite.get_benchmarks(): print("### %s ###" % bench.get_name()) print(format_result(bench)) print() def get_labels(filename1, filename2): # Find a short label to identify two filenames: # the two labels must be different name1 = os.path.basename(filename1) name2 = os.path.basename(filename2) if name1 != name2: return (name1, name2) return (filename1, filename2) def compare_results(options): base_label, changed_label = get_labels( options.baseline_filename, options.changed_filename ) base_suite = pyperf.BenchmarkSuite.load(options.baseline_filename) changed_suite = pyperf.BenchmarkSuite.load(options.changed_filename) results = [] common = set(base_suite.get_benchmark_names()) & set( changed_suite.get_benchmark_names() ) for name in sorted(common): base_bench = base_suite.get_benchmark(name) changed_bench = changed_suite.get_benchmark(name) result = BenchmarkResult(base_bench, changed_bench) results.append(result) hidden = [] shown = [] for result in results: name = result.base.get_name() significant = significant_msg(result.base, result.changed) if significant or options.verbose: shown.append((name, result)) else: hidden.append((name, result)) display_suite_metadata(base_suite, title=base_label) display_suite_metadata(changed_suite, title=changed_label) if options.output_style == "normal": for index, item in enumerate(shown): if index: print() name, result = item print("###", name, "###") print(result) elif options.output_style == "table": if shown: print(format_table(base_label, changed_label, shown)) else: raise ValueError("Invalid output_style: %r" % options.output_style) if hidden: print() print("The following not significant results are hidden, use -v to show them:") print(", ".join(name for (name, result) in hidden) + ".") only_base = set(base_suite.get_benchmark_names()) - common if only_base: print() print( "Skipped %s benchmarks only in %s: %s" % (len(only_base), base_label, ", ".join(sorted(only_base))) ) only_changed = set(changed_suite.get_benchmark_names()) - common if only_changed: print() print( "Skipped %s benchmarks only in %s: %s" % (len(only_changed), changed_label, ", ".join(sorted(only_changed))) ) version1 = base_suite.get_metadata().get("performance_version", NO_VERSION) version2 = changed_suite.get_metadata().get("performance_version", NO_VERSION) if version1 != version2 or (version1 == version2 == NO_VERSION): raise VersionMismatchError(version1, version2) return results def format_csv(value): abs_value = abs(value) # keep at least 3 significant digits, but also try to avoid too many zeros if abs_value >= 1.0: return "%.2f" % value elif abs_value >= 1e-3: return "%.5f" % value elif abs_value >= 1e-6: return "%.8f" % value else: return "%.11f" % value def write_csv(results, filename): with open(filename, "w", newline="", encoding="ascii") as fp: writer = csv.writer(fp) writer.writerow(["Benchmark", "Base", "Changed"]) for result in results: name = result.base.get_name() base = result.base.mean() changed = result.changed.mean() row = [name, format_csv(base), format_csv(changed)] writer.writerow(row) pyperformance-1.14.0/pyperformance/compile.py000066400000000000000000001006241514162565100213340ustar00rootroot00000000000000import configparser import datetime import errno import json import logging import math import os import os.path import re import shlex import statistics import subprocess import sys import time from urllib.error import HTTPError from urllib.parse import urlencode from urllib.request import urlopen import pyperf import pyperformance from pyperformance import _pip, _utils GIT = True DEFAULT_BRANCH = "master" if GIT else "default" LOG_FORMAT = "%(asctime)-15s: %(message)s" EXIT_ALREADY_EXIST = 10 EXIT_COMPILE_ERROR = 11 EXIT_VENV_ERROR = 11 EXIT_BENCH_ERROR = 12 def parse_date(text): def replace_timezone(regs): text = regs.group(0) return text[:2] + text[3:] # replace '+01:00' with '+0100' text2 = re.sub(r"[0-9]{2}:[0-9]{2}$", replace_timezone, text) # ISO 8601 with timezone: '2017-03-30T19:12:18+00:00' return datetime.datetime.strptime(text2, "%Y-%m-%dT%H:%M:%S%z") class Task(object): def __init__(self, app, cwd): self.app = app self.cwd = cwd def get_output_nocheck(self, *cmd): return self.app.get_output_nocheck(*cmd, cwd=self.cwd) def get_output(self, *cmd): return self.app.get_output(*cmd, cwd=self.cwd) def run_nocheck(self, *cmd, **kw): return self.app.run_nocheck(*cmd, cwd=self.cwd, **kw) def run(self, *cmd, **kw): self.app.run(*cmd, cwd=self.cwd, **kw) class Repository(Task): def __init__(self, app, path): super().__init__(app, path) self.logger = app.logger self.app = app self.conf = app.conf def fetch(self): if GIT: self.run("git", "fetch") else: self.run("hg", "pull") def parse_revision(self, revision): branch_rev = "%s/%s" % (self.conf.git_remote, revision) exitcode, stdout = self.get_output_nocheck( "git", "rev-parse", "--verify", branch_rev ) if not exitcode: return (True, branch_rev, stdout) exitcode, stdout = self.get_output_nocheck( "git", "rev-parse", "--verify", revision ) if not exitcode and stdout.startswith(revision): revision = stdout return (False, revision, revision) self.logger.error("ERROR: unable to parse revision %r" % (revision,)) sys.exit(1) def checkout(self, revision): if GIT: # remove all untracked files self.run("git", "clean", "-fdx") # checkout to requested revision self.run("git", "reset", "--hard", "HEAD") self.run("git", "checkout", revision) # remove all untracked files self.run("git", "clean", "-fdx") else: self.run("hg", "up", "--clean", "-r", revision) # FIXME: run hg purge? def get_revision_info(self, revision): if GIT: cmd = ["git", "show", "-s", "--pretty=format:%H|%ci", "%s^!" % revision] else: cmd = ["hg", "log", "--template", "{node}|{date|isodate}", "-r", revision] stdout = self.get_output(*cmd) if GIT: node, date = stdout.split("|") date = datetime.datetime.strptime(date, "%Y-%m-%d %H:%M:%S %z") # convert local date to UTC date = (date - date.utcoffset()).replace(tzinfo=datetime.timezone.utc) else: node, date = stdout.split("|") date = datetime.datetime.strptime(date[:16], "%Y-%m-%d %H:%M") return (node, date) class Application(object): def __init__(self, conf, options): self.conf = conf self.options = options logging.basicConfig(format=LOG_FORMAT) self.logger = logging.getLogger() self.log_filename = None def setup_log(self, prefix): prefix = re.sub("[^A-Za-z0-9_-]+", "_", prefix) prefix = re.sub("_+", "_", prefix) date = datetime.datetime.now() date = date.strftime("%Y-%m-%d_%H-%M-%S.log") filename = "%s-%s" % (prefix, date) self.log_filename = os.path.join(self.conf.directory, filename) log = self.log_filename if os.path.exists(log): self.logger.error("ERROR: Log file %s already exists" % log) sys.exit(1) self.safe_makedirs(os.path.dirname(log)) handler = logging.FileHandler(log) formatter = logging.Formatter(LOG_FORMAT) handler.setFormatter(formatter) self.logger.addHandler(handler) def create_subprocess(self, cmd, **kwargs): self.logger.error("+ %s" % " ".join(map(shlex.quote, cmd))) return subprocess.Popen(cmd, **kwargs) def run_nocheck(self, *cmd, stdin_filename=None, **kwargs): if stdin_filename: stdin_file = open(stdin_filename, "rb", 0) kwargs["stdin"] = stdin_file.fileno() else: stdin_file = None log_stdout = kwargs.pop("log_stdout", True) if log_stdout: kwargs["stdout"] = subprocess.PIPE kwargs["stderr"] = subprocess.STDOUT kwargs["universal_newlines"] = True try: proc = self.create_subprocess(cmd, **kwargs) # FIXME: support Python 2? with proc: if log_stdout: for line in proc.stdout: line = line.rstrip() self.logger.error(line) exitcode = proc.wait() finally: if stdin_file is not None: stdin_file.close() if exitcode: cmd_str = " ".join(map(shlex.quote, cmd)) self.logger.error( "Command %s failed with exit code %s" % (cmd_str, exitcode) ) return exitcode def run(self, *cmd, **kw): exitcode = self.run_nocheck(*cmd, **kw) if exitcode: sys.exit(exitcode) def get_output_nocheck(self, *cmd, **kwargs): proc = self.create_subprocess( cmd, stdout=subprocess.PIPE, universal_newlines=True, **kwargs ) # FIXME: support Python 2? with proc: stdout = proc.communicate()[0] stdout = stdout.rstrip() exitcode = proc.wait() if exitcode: cmd_str = " ".join(map(shlex.quote, cmd)) self.logger.error( "Command %s failed with exit code %s" % (cmd_str, exitcode) ) return (exitcode, stdout) def get_output(self, *cmd, **kwargs): exitcode, stdout = self.get_output_nocheck(*cmd, **kwargs) if exitcode: for line in stdout.splitlines(): self.logger.error(line) sys.exit(exitcode) return stdout def safe_makedirs(self, directory): try: os.makedirs(directory) except OSError as exc: if exc.errno != errno.EEXIST: raise def resolve_python(prefix, builddir, *, fallback=True): if sys.platform in ("darwin", "win32"): program_ext = ".exe" else: program_ext = "" if prefix: if sys.platform == "darwin": program_ext = "" program = os.path.join(prefix, "bin", "python3" + program_ext) exists = os.path.exists(program) if not exists and fallback: program2 = os.path.join(prefix, "bin", "python" + program_ext) if os.path.exists(program2): program = program2 exists = True else: assert builddir program = os.path.join(builddir, "python" + program_ext) exists = os.path.exists(program) return program, exists class Python(Task): def __init__(self, app, conf): super().__init__(app, conf.build_dir) self.app = app self.branch = app.branch self.conf = conf self.logger = app.logger self.program = None self.hexversion = None def patch(self, filename): if not filename: return self.logger.error( "Apply patch %s in %s (revision %s)" % (filename, self.conf.repo_dir, self.app.revision) ) self.app.run("patch", "-p1", cwd=self.conf.repo_dir, stdin_filename=filename) def compile(self): build_dir = self.conf.build_dir _utils.safe_rmtree(build_dir) self.app.safe_makedirs(build_dir) config_args = [] if self.branch.startswith("2.") and not _utils.MS_WINDOWS: # On Python 2, use UCS-4 for Unicode on all platforms, except # on Windows which uses UTF-16 because of its 16-bit wchar_t config_args.append("--enable-unicode=ucs4") if self.conf.prefix: config_args.extend(("--prefix", self.conf.prefix)) if self.conf.debug: config_args.append("--with-pydebug") elif self.conf.lto: config_args.append("--with-lto") if self.conf.jit: config_args.append(f"--enable-experimental-jit={self.conf.jit}") if self.conf.pkg_only: config_args.extend(self.get_package_only_flags()) if self.conf.debug: config_args.append("CFLAGS=-O0") configure = os.path.join(self.conf.repo_dir, "configure") self.run(configure, *config_args) argv = ["make"] if self.conf.pgo: # FIXME: use taskset (isolated CPUs) for PGO? argv.append("profile-opt") if self.conf.jobs: argv.append("-j%d" % self.conf.jobs) self.run(*argv) def install_python(self): program, _ = resolve_python( self.conf.prefix if self.conf.install else None, self.conf.build_dir, ) if self.conf.install: program, _ = resolve_python(self.conf.prefix, self.conf.build_dir) _utils.safe_rmtree(self.conf.prefix) self.app.safe_makedirs(self.conf.prefix) self.run("make", "install") else: program, _ = resolve_python(None, self.conf.build_dir) # else don't install: run python from the compilation directory self.program = program def get_version(self): # Dump the Python version self.logger.error("Installed Python version:") self.run(self.program, "--version") # Get the Python version code = "import sys; print(sys.hexversion)" stdout = self.get_output(self.program, "-c", code) self.hexversion = int(stdout) self.logger.error("Python hexversion: %x" % self.hexversion) def get_package_only_flags(self): arguments = [] extra_paths = [] for pkg in self.conf.pkg_only: prefix = self.get_package_prefix(pkg) if pkg == "openssl": arguments.append("--with-openssl=" + prefix) else: extra_paths.append(prefix) if extra_paths: # Flags are one CLI arg each and do not need quotes. ps = ["-I%s/include" % p for p in extra_paths] arguments.append("CFLAGS=%s" % " ".join(ps)) ps = ["-L%s/lib" % p for p in extra_paths] arguments.append("LDFLAGS=%s" % " ".join(ps)) return arguments def get_package_prefix(self, name): if sys.platform == "darwin": cmd = ["brew", "--prefix", name] else: self.logger.error( "ERROR: package-only libraries are not supported on %s" % sys.platform ) sys.exit(1) stdout = self.get_output(*cmd) self.logger.error("Package prefix for %s is '%s'" % (name, stdout)) return stdout def download(self, url, filename): self.logger.error("Download %s into %s" % (url, filename)) _utils.download(url, filename) def _install_pip(self): # is pip already installed and working? exitcode = self.run_nocheck(self.program, "-u", "-m", "pip", "--version") if not exitcode: # Upgrade pip self.run(self.program, "-u", "-m", "pip", "install", "-U", "pip") return # pip is missing (or broken?): install it filename = os.path.join(self.conf.directory, "get-pip.py") if not os.path.exists(filename): self.download(_pip.GET_PIP_URL, filename) # Install pip self.run(self.program, "-u", filename) def install_pip(self): self._install_pip() # Dump the pip version self.run(self.program, "-u", "-m", "pip", "--version") def install_performance(self): cmd = [self.program, "-u", "-m", "pip", "install"] if pyperformance.is_dev(): cmd.extend(["-e", os.path.dirname(pyperformance.PKG_ROOT)]) else: version = pyperformance.__version__ cmd.append("pyperformance==%s" % version) self.run(*cmd) def compile_install(self): self.compile() self.install_python() self.get_version() self.install_pip() self.install_performance() class BenchmarkRevision(Application): _dryrun = False def __init__( self, conf, revision, branch=None, patch=None, setup_log=True, filename=None, commit_date=None, options=None, ): super().__init__(conf, options) self.patch = patch self.exitcode = 0 self.uploaded = False if setup_log: if branch: prefix = "compile-%s-%s" % (branch, revision) else: prefix = "compile-%s" % revision self.setup_log(prefix) if filename is None: self.repository = Repository(self, conf.repo_dir) self.init_revision(revision, branch) else: # path used by cmd_upload() self.repository = None self.filename = filename self.revision = revision self.branch = branch self.commit_date = commit_date self.logger.error( "Commit: branch=%s, revision=%s" % (self.branch, self.revision) ) self.upload_filename = os.path.join( self.conf.uploaded_json_dir, os.path.basename(self.filename) ) def init_revision(self, revision, branch=None): if self.conf.update: self.repository.fetch() if branch: is_branch, rev_name, full_revision = self.repository.parse_revision(branch) if not is_branch: self.logger.error("ERROR: %r is not a Git branch" % self.branch) sys.exit(1) self.branch = branch else: self.branch = None is_branch, rev_name, full_revision = self.repository.parse_revision(revision) if is_branch: if self.branch and revision != self.branch: raise ValueError( "inconsistenct branches: " "revision=%r, branch=%r" % (revision, branch) ) self.branch = revision elif not self.branch: self.branch = DEFAULT_BRANCH self.revision, date = self.repository.get_revision_info(rev_name) self.logger.error( "Commit: branch=%s, revision=%s, date=%s" % (self.branch, self.revision, date) ) self.commit_date = date date = date.strftime("%Y-%m-%d_%H-%M") filename = "%s-%s-%s" % (date, self.branch, self.revision[:12]) if self.patch: patch = os.path.basename(self.patch) patch = os.path.splitext(patch)[0] filename = "%s-patch-%s" % (filename, patch) filename = filename + ".json.gz" if self.patch: self.filename = os.path.join(self.conf.json_patch_dir, filename) else: self.filename = os.path.join(self.conf.json_dir, filename) def compile_install(self): self.repository.checkout(self.revision) # First: remove everything _utils.safe_rmtree(self.conf.build_dir) _utils.safe_rmtree(self.conf.prefix) self.python.patch(self.patch) self.python.compile_install() def create_venv(self): # Create venv python = self.python.program if self._dryrun: program, exists = resolve_python( self.conf.prefix if self.conf.install else None, self.conf.build_dir, ) if not python or not exists: python = sys.executable cmd = [ python, "-u", "-m", "pyperformance", "venv", "recreate", "--venv", self.conf.venv, "--benchmarks", "", ] if self.options.inherit_environ: cmd.append("--inherit-environ=%s" % ",".join(self.options.inherit_environ)) exitcode = self.run_nocheck(*cmd) if exitcode: sys.exit(EXIT_VENV_ERROR) binname = "Scripts" if os.name == "nt" else "bin" base = os.path.basename(python) return os.path.join(self.conf.venv, binname, base) def run_benchmark(self, python=None): self.safe_makedirs(os.path.dirname(self.filename)) if not python: python = self.python.program if self._dryrun: python = sys.executable cmd = [ python, "-u", "-m", "pyperformance", "run", "--verbose", "--output", self.filename, ] if self.options.inherit_environ: cmd.append("--inherit-environ=%s" % ",".join(self.options.inherit_environ)) if self.conf.manifest: cmd.extend(("--manifest", self.conf.manifest)) if self.conf.benchmarks: cmd.append("--benchmarks=%s" % self.conf.benchmarks) if self.conf.affinity: cmd.extend(("--affinity", self.conf.affinity)) if self.conf.debug: cmd.append("--debug-single-value") if self.conf.same_loops: cmd.append("--same_loops=%s" % self.conf.same_loops) if self.conf.rigorous: cmd.append("--rigorous") exitcode = self.run_nocheck(*cmd) if os.path.exists(self.filename): self.update_metadata() return bool(exitcode) def update_metadata(self): metadata = { "commit_id": self.revision, "commit_branch": self.branch, "commit_date": self.commit_date.isoformat(), } if self.patch: metadata["patch_file"] = self.patch suite = pyperf.BenchmarkSuite.load(self.filename) for bench in suite: bench.update_metadata(metadata) suite.dump(self.filename, replace=True) def encode_benchmark(self, bench): data = {} data["environment"] = self.conf.environment data["project"] = self.conf.project data["branch"] = self.branch data["benchmark"] = bench.get_name() # Other benchmark metadata: # - description # - units="seconds", units_title="Time", lessisbetter=True data["commitid"] = self.revision data["revision_date"] = self.commit_date.isoformat() data["executable"] = self.conf.executable data["result_value"] = bench.mean() # Other result metadata: result_date if bench.get_nvalue() == 1: data["std_dev"] = 0 else: data["std_dev"] = bench.stdev() values = bench.get_values() data["min"] = min(values) data["max"] = max(values) # Other stats metadata: q1, q3 return data def upload(self): if self.uploaded: raise Exception("already uploaded") if self.filename == self.upload_filename: self.logger.error("ERROR: %s was already uploaded!" % self.filename) sys.exit(1) if os.path.exists(self.upload_filename): self.logger.error( "ERROR: cannot upload, %s file ready exists!" % self.upload_filename ) sys.exit(1) self.safe_makedirs(self.conf.uploaded_json_dir) suite = pyperf.BenchmarkSuite.load(self.filename) data = [self.encode_benchmark(bench) for bench in suite] data = dict(json=json.dumps(data)) url = self.conf.url if not url.endswith("/"): url += "/" url += "result/add/json/" self.logger.error("Upload %s benchmarks to %s" % (len(suite), url)) try: response = urlopen(data=urlencode(data).encode("utf-8"), url=url) body = response.read() response.close() except HTTPError as err: self.logger.error("HTTP Error: %s" % err) errmsg = err.read().decode("utf8") self.logger.error(errmsg) err.close() return self.logger.error('Response: "%s"' % body.decode("utf-8")) self.logger.error("Move %s to %s" % (self.filename, self.upload_filename)) os.rename(self.filename, self.upload_filename) self.uploaded = True def perf_system_tune(self): pythonpath = os.environ.get("PYTHONPATH") args = ["-m", "pyperf", "system", "tune"] if self.conf.affinity: args.extend(("--affinity", self.conf.affinity)) if pythonpath: cmd = "PYTHONPATH=%s %s %s" % ( shlex.quote(pythonpath), shlex.quote(sys.executable), " ".join(args), ) self.run("sudo", "bash", "-c", cmd) else: self.run("sudo", sys.executable, *args) def prepare(self): self.logger.error( "Compile and benchmarks Python rev %s (branch %s)" % (self.revision, self.branch) ) self.logger.error("") if os.path.exists(self.filename): filename = self.filename elif self.conf.upload and os.path.exists(self.upload_filename): filename = self.upload_filename else: filename = False if filename: # Benchmark already uploaded self.logger.error("JSON file %s already exists: do nothing" % filename) # Remove the log file if self.log_filename: self.logger.error("Remove log file %s" % self.log_filename) del self.logger.handlers[:] os.unlink(self.log_filename) sys.exit(EXIT_ALREADY_EXIST) if self.log_filename: self.logger.error("Write logs into %s" % self.log_filename) if self.patch and self.conf.upload: self.logger.error("Disable upload on patched Python") self.conf.upload = False if self.conf.debug and self.conf.upload: self.logger.error("Disable upload in debug mode") self.conf.upload = False if not self.conf.install and self.conf.upload: self.logger.error("Disable upload if Python is not installed") self.conf.upload = False if self.conf.system_tune: self.perf_system_tune() def compile_bench(self): self.python = Python(self, self.conf) if not self._dryrun: try: self.compile_install() except SystemExit: sys.exit(EXIT_COMPILE_ERROR) if self.conf.venv: python = self.create_venv() else: python = None failed = self.run_benchmark(python) if self.conf.upload: self.upload() return failed def main(self): self.start = time.monotonic() self.prepare() failed = self.compile_bench() dt = time.monotonic() - self.start dt = datetime.timedelta(seconds=dt) self.logger.error("Benchmark completed in %s" % dt) if self.uploaded: self.logger.error( "Benchmark results uploaded and written into %s" % self.upload_filename ) elif failed: self.logger.error( "Benchmark failed but results written into %s" % self.filename ) else: self.logger.error("Benchmark result written into %s" % self.filename) if failed: sys.exit(EXIT_BENCH_ERROR) class Configuration: pass def parse_config(filename, command): parse_compile = False parse_compile_all = False if command == "compile_all": parse_compile = True parse_compile_all = True elif command == "compile": parse_compile = True else: assert command == "upload" conf = Configuration() cfgobj = configparser.ConfigParser() cfgobj.read(filename) def getstr(section, key, default=None): try: sectionobj = cfgobj[section] value = sectionobj[key] except KeyError: if default is None: raise return default # strip comments value = value.partition("#")[0] # strip spaces return value.strip() def getfile(section, key, default=None): value = getstr(section, key, default) if not value: return value value = os.path.expanduser(value) return value def getboolean(section, key, default): try: sectionobj = cfgobj[section] return sectionobj.getboolean(key, default) except KeyError: return default def getint(section, key, default=None): return int(getstr(section, key, default)) # [config] conf.json_dir = getfile("config", "json_dir") conf.json_patch_dir = os.path.join(conf.json_dir, "patch") conf.uploaded_json_dir = os.path.join(conf.json_dir, "uploaded") conf.debug = getboolean("config", "debug", False) if parse_compile: # [scm] conf.repo_dir = getfile("scm", "repo_dir") conf.update = getboolean("scm", "update", True) conf.git_remote = getstr("config", "git_remote", default="remotes/origin") # [compile] conf.directory = getfile("compile", "bench_dir") conf.lto = getboolean("compile", "lto", True) conf.pgo = getboolean("compile", "pgo", True) conf.jit = getstr("compile", "jit", "") conf.install = getboolean("compile", "install", True) conf.pkg_only = getstr("compile", "pkg_only", "").split() try: conf.jobs = getint("compile", "jobs") except KeyError: conf.jobs = None # [run_benchmark] conf.system_tune = getboolean("run_benchmark", "system_tune", True) conf.manifest = getfile("run_benchmark", "manifest", default="") conf.benchmarks = getstr("run_benchmark", "benchmarks", default="") conf.affinity = getstr("run_benchmark", "affinity", default="") conf.upload = getboolean("run_benchmark", "upload", False) conf.same_loops = getfile("run_benchmark", "same_loops", default="") conf.rigorous = getboolean("run_benchmark", "rigorous", False) # paths conf.build_dir = os.path.join(conf.directory, "build") conf.prefix = os.path.join(conf.directory, "prefix") conf.venv = os.path.join(conf.directory, "venv") check_upload = conf.upload else: check_upload = True # [upload] UPLOAD_OPTIONS = ("url", "environment", "executable", "project") conf.url = getstr("upload", "url", default="") conf.executable = getstr("upload", "executable", default="") conf.project = getstr("upload", "project", default="") conf.environment = getstr("upload", "environment", default="") if check_upload and any(not getattr(conf, attr) for attr in UPLOAD_OPTIONS): print( "ERROR: Upload requires to set the following " "configuration option in the the [upload] section " "of %s:" % filename ) for attr in UPLOAD_OPTIONS: text = "- %s" % attr if not getattr(conf, attr): text += " (not set)" print(text) sys.exit(1) if parse_compile_all: # [compile_all] conf.branches = getstr("compile_all", "branches", "").split() conf.revisions = [] try: revisions = cfgobj.items("compile_all_revisions") except configparser.NoSectionError: pass else: for revision, name in revisions: # strip comments name = name.partition("#")[0] # strip spaces name = name.strip() conf.revisions.append((revision, name)) # process config if conf.debug: conf.pgo = False conf.lto = False return conf class BenchmarkAll(Application): def __init__(self, config_filename, options): config_filename = os.path.abspath(config_filename) conf = parse_config(config_filename, "compile_all") super().__init__(conf, options) self.config_filename = config_filename self.safe_makedirs(self.conf.directory) self.setup_log("compile_all") self.outputs = [] self.skipped = [] self.failed = [] self.timings = [] self.logger = logging.getLogger() def benchmark(self, revision, branch): if branch: key = "%s-%s" % (branch, revision) else: key = revision cmd = [ sys.executable, "-m", "pyperformance", "compile", self.config_filename, revision, branch, ] if not self.conf.update: cmd.append("--no-update") if not self.conf.system_tune: cmd.append("--no-tune") self.start = time.monotonic() exitcode = self.run_nocheck(*cmd, log_stdout=False) dt = time.monotonic() - self.start if exitcode: self.logger.error("Benchmark exit code: %s" % exitcode) if exitcode == EXIT_ALREADY_EXIST: # Benchmark already uploaded self.skipped.append(key) return # compile, venv and bench errors occur after repository update # and system tune if exitcode >= EXIT_COMPILE_ERROR: if self.conf.system_tune: # only tune the system once self.conf.system_tune = False if self.conf.update: # Ony update the repository once self.conf.update = False if exitcode == 0 or exitcode == EXIT_BENCH_ERROR: self.outputs.append((key, exitcode == EXIT_BENCH_ERROR)) self.timings.append(dt) else: self.failed.append(key) def report(self): for key in self.skipped: self.logger.error("Skipped: %s" % key) for key, success in self.outputs: if success: success_message = "All benchmarks succeeded" else: success_message = "Some benchmarks failed" self.logger.error("Tested: %s (%s)" % (key, success_message)) for key in self.failed: text = "FAILED: %s" % key self.logger.error(text) def report_timings(self): def format_time(seconds): if seconds >= 100: return "%.0f min %.0f sec" % divmod(seconds, 60) else: return "%.0f sec" % math.ceil(seconds) self.logger.error("Timings:") self.logger.error("- min: %s" % format_time(min(self.timings))) text = "- avg: %s" % format_time(statistics.mean(self.timings)) if len(self.timings) >= 2: stdev = statistics.stdev(self.timings) text = "%s -- std dev: %s" % (text, format_time(stdev)) self.logger.error(text) self.logger.error("- max: %s" % format_time(max(self.timings))) def main(self): self.safe_makedirs(self.conf.directory) self.logger.error("Compile and benchmark all") if self.log_filename: self.logger.error("Write logs into %s" % self.log_filename) self.logger.error("Revisions: %r" % (self.conf.revisions,)) self.logger.error("Branches: %r" % (self.conf.branches,)) if not self.conf.revisions and not self.conf.branches: self.logger.error( "ERROR: no branches nor revisions configured for compile_all" ) sys.exit(1) try: for revision, branch in self.conf.revisions: self.benchmark(revision, branch) for branch in self.conf.branches: self.benchmark(branch, branch) finally: self.report() if self.timings: self.report_timings() if self.failed: sys.exit(1) pyperformance-1.14.0/pyperformance/data-files/000077500000000000000000000000001514162565100213405ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/000077500000000000000000000000001514162565100234555ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/MANIFEST000066400000000000000000000051441514162565100246120ustar00rootroot00000000000000[benchmarks] name metafile 2to3 argparse argparse_subparsers async_generators async_tree async_tree_cpu_io_mixed async_tree_io async_tree_memoization async_tree_eager async_tree_eager_cpu_io_mixed async_tree_eager_io async_tree_eager_memoization async_tree_tg async_tree_cpu_io_mixed_tg async_tree_io_tg async_tree_memoization_tg async_tree_eager_tg async_tree_eager_cpu_io_mixed_tg async_tree_eager_io_tg async_tree_eager_memoization_tg asyncio_tcp asyncio_tcp_ssl asyncio_websockets base64 bpe_tokeniser concurrent_imap coroutines coverage gc_traversal gc_collect generators chameleon chaos comprehensions crypto_pyaes dask deepcopy deltablue django_template dulwich_log docutils fannkuch fastapi float genshi go hexiom # FIXME: this benchmark fails with: # Unable to get the program 'hg' from the virtual environment #hg_startup html5lib json_dumps json_loads logging mako mdp meteor_contest networkx networkx_connected_components networkx_k_core nbody nqueens pathlib pickle pickle_dict pickle_list pickle_pure_python pidigits pprint pyflate python_startup python_startup_no_site raytrace regex_compile regex_dna regex_effbot regex_v8 richards richards_super scimark spectral_norm sphinx sqlalchemy_declarative sqlalchemy_imperative sqlglot_v2 sqlglot_v2_parse sqlglot_v2_transpile sqlglot_v2_optimize sqlite_synth sympy telco tomli_loads tornado_http typing_runtime_protocols unpack_sequence unpickle unpickle_list unpickle_pure_python xdsl xml_etree [group default] [group asyncio] [group startup] [group regex] [group serialize] [group apps] [group math] [group template] pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/000077500000000000000000000000001514162565100247225ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/data/000077500000000000000000000000001514162565100256335ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/data/2to3/000077500000000000000000000000001514162565100264225ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/data/2to3/README.txt000066400000000000000000000000601514162565100301140ustar00rootroot00000000000000Copy of django/core/*.py files of Django 1.1.4. pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/data/2to3/__init__.py.txt000066400000000000000000000000001514162565100313370ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/data/2to3/context_processors.py.txt000066400000000000000000000065321514162565100335660ustar00rootroot00000000000000""" A set of request processors that return dictionaries to be merged into a template context. Each function takes the request object as its only parameter and returns a dictionary to add to the context. These are referenced from the setting TEMPLATE_CONTEXT_PROCESSORS and used by RequestContext. """ from django.conf import settings from django.utils.functional import lazy, memoize, SimpleLazyObject def auth(request): """ Returns context variables required by apps that use Django's authentication system. If there is no 'user' attribute in the request, uses AnonymousUser (from django.contrib.auth). """ # If we access request.user, request.session is accessed, which results in # 'Vary: Cookie' being sent in every request that uses this context # processor, which can easily be every request on a site if # TEMPLATE_CONTEXT_PROCESSORS has this context processor added. This kills # the ability to cache. So, we carefully ensure these attributes are lazy. # We don't use django.utils.functional.lazy() for User, because that # requires knowing the class of the object we want to proxy, which could # break with custom auth backends. LazyObject is a less complete but more # flexible solution that is a good enough wrapper for 'User'. def get_user(): if hasattr(request, 'user'): return request.user else: from django.contrib.auth.models import AnonymousUser return AnonymousUser() return { 'user': SimpleLazyObject(get_user), 'messages': lazy(memoize(lambda: get_user().get_and_delete_messages(), {}, 0), list)(), 'perms': lazy(lambda: PermWrapper(get_user()), PermWrapper)(), } def debug(request): "Returns context variables helpful for debugging." context_extras = {} if settings.DEBUG and request.META.get('REMOTE_ADDR') in settings.INTERNAL_IPS: context_extras['debug'] = True from django.db import connection context_extras['sql_queries'] = connection.queries return context_extras def i18n(request): from django.utils import translation context_extras = {} context_extras['LANGUAGES'] = settings.LANGUAGES context_extras['LANGUAGE_CODE'] = translation.get_language() context_extras['LANGUAGE_BIDI'] = translation.get_language_bidi() return context_extras def media(request): """ Adds media-related context variables to the context. """ return {'MEDIA_URL': settings.MEDIA_URL} def request(request): return {'request': request} # PermWrapper and PermLookupDict proxy the permissions system into objects that # the template system can understand. class PermLookupDict(object): def __init__(self, user, module_name): self.user, self.module_name = user, module_name def __repr__(self): return str(self.user.get_all_permissions()) def __getitem__(self, perm_name): return self.user.has_perm("%s.%s" % (self.module_name, perm_name)) def __nonzero__(self): return self.user.has_module_perms(self.module_name) class PermWrapper(object): def __init__(self, user): self.user = user def __getitem__(self, module_name): return PermLookupDict(self.user, module_name) def __iter__(self): # I am large, I contain multitudes. raise TypeError("PermWrapper is not iterable.") pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/data/2to3/exceptions.py.txt000066400000000000000000000016201514162565100317720ustar00rootroot00000000000000"Global Django exceptions" class ObjectDoesNotExist(Exception): "The requested object does not exist" silent_variable_failure = True class MultipleObjectsReturned(Exception): "The query returned multiple objects when only one was expected." pass class SuspiciousOperation(Exception): "The user did something suspicious" pass class PermissionDenied(Exception): "The user did not have permission to do that" pass class ViewDoesNotExist(Exception): "The requested view does not exist" pass class MiddlewareNotUsed(Exception): "This middleware is not used in this server configuration" pass class ImproperlyConfigured(Exception): "Django is somehow improperly configured" pass class FieldError(Exception): """Some kind of problem with a model field.""" pass class ValidationError(Exception): """An error while validating data.""" pass pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/data/2to3/mail.py.txt000066400000000000000000000406611514162565100305430ustar00rootroot00000000000000""" Tools for sending email. """ import mimetypes import os import smtplib import socket import time import random from email import Charset, Encoders from email.MIMEText import MIMEText from email.MIMEMultipart import MIMEMultipart from email.MIMEBase import MIMEBase from email.Header import Header from email.Utils import formatdate, getaddresses, formataddr from django.conf import settings from django.utils.encoding import smart_str, force_unicode # Don't BASE64-encode UTF-8 messages so that we avoid unwanted attention from # some spam filters. Charset.add_charset('utf-8', Charset.SHORTEST, Charset.QP, 'utf-8') # Default MIME type to use on attachments (if it is not explicitly given # and cannot be guessed). DEFAULT_ATTACHMENT_MIME_TYPE = 'application/octet-stream' # Cache the hostname, but do it lazily: socket.getfqdn() can take a couple of # seconds, which slows down the restart of the server. class CachedDnsName(object): def __str__(self): return self.get_fqdn() def get_fqdn(self): if not hasattr(self, '_fqdn'): self._fqdn = socket.getfqdn() return self._fqdn DNS_NAME = CachedDnsName() # Copied from Python standard library, with the following modifications: # * Used cached hostname for performance. # * Added try/except to support lack of getpid() in Jython (#5496). def make_msgid(idstring=None): """Returns a string suitable for RFC 2822 compliant Message-ID, e.g: <20020201195627.33539.96671@nightshade.la.mastaler.com> Optional idstring if given is a string used to strengthen the uniqueness of the message id. """ timeval = time.time() utcdate = time.strftime('%Y%m%d%H%M%S', time.gmtime(timeval)) try: pid = os.getpid() except AttributeError: # No getpid() in Jython, for example. pid = 1 randint = random.randrange(100000) if idstring is None: idstring = '' else: idstring = '.' + idstring idhost = DNS_NAME msgid = '<%s.%s.%s%s@%s>' % (utcdate, pid, randint, idstring, idhost) return msgid class BadHeaderError(ValueError): pass def forbid_multi_line_headers(name, val, encoding): """Forbids multi-line headers, to prevent header injection.""" encoding = encoding or settings.DEFAULT_CHARSET val = force_unicode(val) if '\n' in val or '\r' in val: raise BadHeaderError("Header values can't contain newlines (got %r for header %r)" % (val, name)) try: val = val.encode('ascii') except UnicodeEncodeError: if name.lower() in ('to', 'from', 'cc'): result = [] for nm, addr in getaddresses((val,)): nm = str(Header(nm.encode(encoding), encoding)) result.append(formataddr((nm, str(addr)))) val = ', '.join(result) else: val = Header(val.encode(encoding), encoding) else: if name.lower() == 'subject': val = Header(val) return name, val class SafeMIMEText(MIMEText): def __init__(self, text, subtype, charset): self.encoding = charset MIMEText.__init__(self, text, subtype, charset) def __setitem__(self, name, val): name, val = forbid_multi_line_headers(name, val, self.encoding) MIMEText.__setitem__(self, name, val) class SafeMIMEMultipart(MIMEMultipart): def __init__(self, _subtype='mixed', boundary=None, _subparts=None, encoding=None, **_params): self.encoding = encoding MIMEMultipart.__init__(self, _subtype, boundary, _subparts, **_params) def __setitem__(self, name, val): name, val = forbid_multi_line_headers(name, val, self.encoding) MIMEMultipart.__setitem__(self, name, val) class SMTPConnection(object): """ A wrapper that manages the SMTP network connection. """ def __init__(self, host=None, port=None, username=None, password=None, use_tls=None, fail_silently=False): self.host = host or settings.EMAIL_HOST self.port = port or settings.EMAIL_PORT self.username = username or settings.EMAIL_HOST_USER self.password = password or settings.EMAIL_HOST_PASSWORD if use_tls is None: self.use_tls = settings.EMAIL_USE_TLS else: self.use_tls = use_tls self.fail_silently = fail_silently self.connection = None def open(self): """ Ensures we have a connection to the email server. Returns whether or not a new connection was required (True or False). """ if self.connection: # Nothing to do if the connection is already open. return False try: # If local_hostname is not specified, socket.getfqdn() gets used. # For performance, we use the cached FQDN for local_hostname. self.connection = smtplib.SMTP(self.host, self.port, local_hostname=DNS_NAME.get_fqdn()) if self.use_tls: self.connection.ehlo() self.connection.starttls() self.connection.ehlo() if self.username and self.password: self.connection.login(self.username, self.password) return True except: if not self.fail_silently: raise def close(self): """Closes the connection to the email server.""" try: try: self.connection.quit() except socket.sslerror: # This happens when calling quit() on a TLS connection # sometimes. self.connection.close() except: if self.fail_silently: return raise finally: self.connection = None def send_messages(self, email_messages): """ Sends one or more EmailMessage objects and returns the number of email messages sent. """ if not email_messages: return new_conn_created = self.open() if not self.connection: # We failed silently on open(). Trying to send would be pointless. return num_sent = 0 for message in email_messages: sent = self._send(message) if sent: num_sent += 1 if new_conn_created: self.close() return num_sent def _send(self, email_message): """A helper method that does the actual sending.""" if not email_message.recipients(): return False try: self.connection.sendmail(email_message.from_email, email_message.recipients(), email_message.message().as_string()) except: if not self.fail_silently: raise return False return True class EmailMessage(object): """ A container for email information. """ content_subtype = 'plain' mixed_subtype = 'mixed' encoding = None # None => use settings default def __init__(self, subject='', body='', from_email=None, to=None, bcc=None, connection=None, attachments=None, headers=None): """ Initialize a single email message (which can be sent to multiple recipients). All strings used to create the message can be unicode strings (or UTF-8 bytestrings). The SafeMIMEText class will handle any necessary encoding conversions. """ if to: assert not isinstance(to, basestring), '"to" argument must be a list or tuple' self.to = list(to) else: self.to = [] if bcc: assert not isinstance(bcc, basestring), '"bcc" argument must be a list or tuple' self.bcc = list(bcc) else: self.bcc = [] self.from_email = from_email or settings.DEFAULT_FROM_EMAIL self.subject = subject self.body = body self.attachments = attachments or [] self.extra_headers = headers or {} self.connection = connection def get_connection(self, fail_silently=False): if not self.connection: self.connection = SMTPConnection(fail_silently=fail_silently) return self.connection def message(self): encoding = self.encoding or settings.DEFAULT_CHARSET msg = SafeMIMEText(smart_str(self.body, encoding), self.content_subtype, encoding) msg = self._create_message(msg) msg['Subject'] = self.subject msg['From'] = self.extra_headers.get('From', self.from_email) msg['To'] = ', '.join(self.to) # Email header names are case-insensitive (RFC 2045), so we have to # accommodate that when doing comparisons. header_names = [key.lower() for key in self.extra_headers] if 'date' not in header_names: msg['Date'] = formatdate() if 'message-id' not in header_names: msg['Message-ID'] = make_msgid() for name, value in self.extra_headers.items(): if name.lower() == 'from': continue msg[name] = value return msg def recipients(self): """ Returns a list of all recipients of the email (includes direct addressees as well as Bcc entries). """ return self.to + self.bcc def send(self, fail_silently=False): """Sends the email message.""" if not self.recipients(): # Don't bother creating the network connection if there's nobody to # send to. return 0 return self.get_connection(fail_silently).send_messages([self]) def attach(self, filename=None, content=None, mimetype=None): """ Attaches a file with the given filename and content. The filename can be omitted and the mimetype is guessed, if not provided. If the first parameter is a MIMEBase subclass it is inserted directly into the resulting message attachments. """ if isinstance(filename, MIMEBase): assert content == mimetype == None self.attachments.append(filename) else: assert content is not None self.attachments.append((filename, content, mimetype)) def attach_file(self, path, mimetype=None): """Attaches a file from the filesystem.""" filename = os.path.basename(path) content = open(path, 'rb').read() self.attach(filename, content, mimetype) def _create_message(self, msg): return self._create_attachments(msg) def _create_attachments(self, msg): if self.attachments: encoding = self.encoding or settings.DEFAULT_CHARSET body_msg = msg msg = SafeMIMEMultipart(_subtype=self.mixed_subtype, encoding=encoding) if self.body: msg.attach(body_msg) for attachment in self.attachments: if isinstance(attachment, MIMEBase): msg.attach(attachment) else: msg.attach(self._create_attachment(*attachment)) return msg def _create_mime_attachment(self, content, mimetype): """ Converts the content, mimetype pair into a MIME attachment object. """ basetype, subtype = mimetype.split('/', 1) if basetype == 'text': encoding = self.encoding or settings.DEFAULT_CHARSET attachment = SafeMIMEText(smart_str(content, encoding), subtype, encoding) else: # Encode non-text attachments with base64. attachment = MIMEBase(basetype, subtype) attachment.set_payload(content) Encoders.encode_base64(attachment) return attachment def _create_attachment(self, filename, content, mimetype=None): """ Converts the filename, content, mimetype triple into a MIME attachment object. """ if mimetype is None: mimetype, _ = mimetypes.guess_type(filename) if mimetype is None: mimetype = DEFAULT_ATTACHMENT_MIME_TYPE attachment = self._create_mime_attachment(content, mimetype) if filename: attachment.add_header('Content-Disposition', 'attachment', filename=filename) return attachment class EmailMultiAlternatives(EmailMessage): """ A version of EmailMessage that makes it easy to send multipart/alternative messages. For example, including text and HTML versions of the text is made easier. """ alternative_subtype = 'alternative' def __init__(self, subject='', body='', from_email=None, to=None, bcc=None, connection=None, attachments=None, headers=None, alternatives=None): """ Initialize a single email message (which can be sent to multiple recipients). All strings used to create the message can be unicode strings (or UTF-8 bytestrings). The SafeMIMEText class will handle any necessary encoding conversions. """ super(EmailMultiAlternatives, self).__init__(subject, body, from_email, to, bcc, connection, attachments, headers) self.alternatives=alternatives or [] def attach_alternative(self, content, mimetype): """Attach an alternative content representation.""" assert content is not None assert mimetype is not None self.alternatives.append((content, mimetype)) def _create_message(self, msg): return self._create_attachments(self._create_alternatives(msg)) def _create_alternatives(self, msg): encoding = self.encoding or settings.DEFAULT_CHARSET if self.alternatives: body_msg = msg msg = SafeMIMEMultipart(_subtype=self.alternative_subtype, encoding=encoding) if self.body: msg.attach(body_msg) for alternative in self.alternatives: msg.attach(self._create_mime_attachment(*alternative)) return msg def send_mail(subject, message, from_email, recipient_list, fail_silently=False, auth_user=None, auth_password=None): """ Easy wrapper for sending a single message to a recipient list. All members of the recipient list will see the other recipients in the 'To' field. If auth_user is None, the EMAIL_HOST_USER setting is used. If auth_password is None, the EMAIL_HOST_PASSWORD setting is used. Note: The API for this method is frozen. New code wanting to extend the functionality should use the EmailMessage class directly. """ connection = SMTPConnection(username=auth_user, password=auth_password, fail_silently=fail_silently) return EmailMessage(subject, message, from_email, recipient_list, connection=connection).send() def send_mass_mail(datatuple, fail_silently=False, auth_user=None, auth_password=None): """ Given a datatuple of (subject, message, from_email, recipient_list), sends each message to each recipient list. Returns the number of e-mails sent. If from_email is None, the DEFAULT_FROM_EMAIL setting is used. If auth_user and auth_password are set, they're used to log in. If auth_user is None, the EMAIL_HOST_USER setting is used. If auth_password is None, the EMAIL_HOST_PASSWORD setting is used. Note: The API for this method is frozen. New code wanting to extend the functionality should use the EmailMessage class directly. """ connection = SMTPConnection(username=auth_user, password=auth_password, fail_silently=fail_silently) messages = [EmailMessage(subject, message, sender, recipient) for subject, message, sender, recipient in datatuple] return connection.send_messages(messages) def mail_admins(subject, message, fail_silently=False): """Sends a message to the admins, as defined by the ADMINS setting.""" if not settings.ADMINS: return EmailMessage(settings.EMAIL_SUBJECT_PREFIX + subject, message, settings.SERVER_EMAIL, [a[1] for a in settings.ADMINS] ).send(fail_silently=fail_silently) def mail_managers(subject, message, fail_silently=False): """Sends a message to the managers, as defined by the MANAGERS setting.""" if not settings.MANAGERS: return EmailMessage(settings.EMAIL_SUBJECT_PREFIX + subject, message, settings.SERVER_EMAIL, [a[1] for a in settings.MANAGERS] ).send(fail_silently=fail_silently) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/data/2to3/paginator.py.txt000066400000000000000000000076651514162565100316140ustar00rootroot00000000000000from math import ceil class InvalidPage(Exception): pass class PageNotAnInteger(InvalidPage): pass class EmptyPage(InvalidPage): pass class Paginator(object): def __init__(self, object_list, per_page, orphans=0, allow_empty_first_page=True): self.object_list = object_list self.per_page = per_page self.orphans = orphans self.allow_empty_first_page = allow_empty_first_page self._num_pages = self._count = None def validate_number(self, number): "Validates the given 1-based page number." try: number = int(number) except ValueError: raise PageNotAnInteger('That page number is not an integer') if number < 1: raise EmptyPage('That page number is less than 1') if number > self.num_pages: if number == 1 and self.allow_empty_first_page: pass else: raise EmptyPage('That page contains no results') return number def page(self, number): "Returns a Page object for the given 1-based page number." number = self.validate_number(number) bottom = (number - 1) * self.per_page top = bottom + self.per_page if top + self.orphans >= self.count: top = self.count return Page(self.object_list[bottom:top], number, self) def _get_count(self): "Returns the total number of objects, across all pages." if self._count is None: try: self._count = self.object_list.count() except (AttributeError, TypeError): # AttributeError if object_list has no count() method. # TypeError if object_list.count() requires arguments # (i.e. is of type list). self._count = len(self.object_list) return self._count count = property(_get_count) def _get_num_pages(self): "Returns the total number of pages." if self._num_pages is None: if self.count == 0 and not self.allow_empty_first_page: self._num_pages = 0 else: hits = max(1, self.count - self.orphans) self._num_pages = int(ceil(hits / float(self.per_page))) return self._num_pages num_pages = property(_get_num_pages) def _get_page_range(self): """ Returns a 1-based range of pages for iterating through within a template for loop. """ return range(1, self.num_pages + 1) page_range = property(_get_page_range) QuerySetPaginator = Paginator # For backwards-compatibility. class Page(object): def __init__(self, object_list, number, paginator): self.object_list = object_list self.number = number self.paginator = paginator def __repr__(self): return '' % (self.number, self.paginator.num_pages) def has_next(self): return self.number < self.paginator.num_pages def has_previous(self): return self.number > 1 def has_other_pages(self): return self.has_previous() or self.has_next() def next_page_number(self): return self.number + 1 def previous_page_number(self): return self.number - 1 def start_index(self): """ Returns the 1-based index of the first object on this page, relative to total objects in the paginator. """ # Special case, return zero if no items. if self.paginator.count == 0: return 0 return (self.paginator.per_page * (self.number - 1)) + 1 def end_index(self): """ Returns the 1-based index of the last object on this page, relative to total objects found (hits). """ # Special case for the last page because there can be orphans. if self.number == self.paginator.num_pages: return self.paginator.count return self.number * self.paginator.per_page pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/data/2to3/signals.py.txt000066400000000000000000000002261514162565100312520ustar00rootroot00000000000000from django.dispatch import Signal request_started = Signal() request_finished = Signal() got_request_exception = Signal(providing_args=["request"]) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/data/2to3/template_loader.py.txt000066400000000000000000000002451514162565100327540ustar00rootroot00000000000000# This module is DEPRECATED! # # You should no longer be using django.template_loader. # # Use django.template.loader instead. from django.template.loader import * pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/data/2to3/urlresolvers.py.txt000066400000000000000000000366521514162565100323750ustar00rootroot00000000000000""" This module converts requested URLs to callback view functions. RegexURLResolver is the main class here. Its resolve() method takes a URL (as a string) and returns a tuple in this format: (view_function, function_args, function_kwargs) """ import re from django.http import Http404 from django.conf import settings from django.core.exceptions import ImproperlyConfigured, ViewDoesNotExist from django.utils.datastructures import MultiValueDict from django.utils.encoding import iri_to_uri, force_unicode, smart_str from django.utils.functional import memoize from django.utils.importlib import import_module from django.utils.regex_helper import normalize from django.utils.thread_support import currentThread try: reversed except NameError: from django.utils.itercompat import reversed # Python 2.3 fallback from sets import Set as set _resolver_cache = {} # Maps URLconf modules to RegexURLResolver instances. _callable_cache = {} # Maps view and url pattern names to their view functions. # SCRIPT_NAME prefixes for each thread are stored here. If there's no entry for # the current thread (which is the only one we ever access), it is assumed to # be empty. _prefixes = {} # Overridden URLconfs for each thread are stored here. _urlconfs = {} class Resolver404(Http404): pass class NoReverseMatch(Exception): # Don't make this raise an error when used in a template. silent_variable_failure = True def get_callable(lookup_view, can_fail=False): """ Convert a string version of a function name to the callable object. If the lookup_view is not an import path, it is assumed to be a URL pattern label and the original string is returned. If can_fail is True, lookup_view might be a URL pattern label, so errors during the import fail and the string is returned. """ if not callable(lookup_view): try: # Bail early for non-ASCII strings (they can't be functions). lookup_view = lookup_view.encode('ascii') mod_name, func_name = get_mod_func(lookup_view) if func_name != '': lookup_view = getattr(import_module(mod_name), func_name) if not callable(lookup_view): raise AttributeError("'%s.%s' is not a callable." % (mod_name, func_name)) except (ImportError, AttributeError): if not can_fail: raise except UnicodeEncodeError: pass return lookup_view get_callable = memoize(get_callable, _callable_cache, 1) def get_resolver(urlconf): if urlconf is None: from django.conf import settings urlconf = settings.ROOT_URLCONF return RegexURLResolver(r'^/', urlconf) get_resolver = memoize(get_resolver, _resolver_cache, 1) def get_mod_func(callback): # Converts 'django.views.news.stories.story_detail' to # ['django.views.news.stories', 'story_detail'] try: dot = callback.rindex('.') except ValueError: return callback, '' return callback[:dot], callback[dot+1:] class RegexURLPattern(object): def __init__(self, regex, callback, default_args=None, name=None): # regex is a string representing a regular expression. # callback is either a string like 'foo.views.news.stories.story_detail' # which represents the path to a module and a view function name, or a # callable object (view). self.regex = re.compile(regex, re.UNICODE) if callable(callback): self._callback = callback else: self._callback = None self._callback_str = callback self.default_args = default_args or {} self.name = name def __repr__(self): return '<%s %s %s>' % (self.__class__.__name__, self.name, self.regex.pattern) def add_prefix(self, prefix): """ Adds the prefix string to a string-based callback. """ if not prefix or not hasattr(self, '_callback_str'): return self._callback_str = prefix + '.' + self._callback_str def resolve(self, path): match = self.regex.search(path) if match: # If there are any named groups, use those as kwargs, ignoring # non-named groups. Otherwise, pass all non-named arguments as # positional arguments. kwargs = match.groupdict() if kwargs: args = () else: args = match.groups() # In both cases, pass any extra_kwargs as **kwargs. kwargs.update(self.default_args) return self.callback, args, kwargs def _get_callback(self): if self._callback is not None: return self._callback try: self._callback = get_callable(self._callback_str) except ImportError, e: mod_name, _ = get_mod_func(self._callback_str) raise ViewDoesNotExist, "Could not import %s. Error was: %s" % (mod_name, str(e)) except AttributeError, e: mod_name, func_name = get_mod_func(self._callback_str) raise ViewDoesNotExist, "Tried %s in module %s. Error was: %s" % (func_name, mod_name, str(e)) return self._callback callback = property(_get_callback) class RegexURLResolver(object): def __init__(self, regex, urlconf_name, default_kwargs=None, app_name=None, namespace=None): # regex is a string representing a regular expression. # urlconf_name is a string representing the module containing URLconfs. self.regex = re.compile(regex, re.UNICODE) self.urlconf_name = urlconf_name if not isinstance(urlconf_name, basestring): self._urlconf_module = self.urlconf_name self.callback = None self.default_kwargs = default_kwargs or {} self.namespace = namespace self.app_name = app_name self._reverse_dict = None self._namespace_dict = None self._app_dict = None def __repr__(self): return '<%s %s (%s:%s) %s>' % (self.__class__.__name__, self.urlconf_name, self.app_name, self.namespace, self.regex.pattern) def _populate(self): lookups = MultiValueDict() namespaces = {} apps = {} for pattern in reversed(self.url_patterns): p_pattern = pattern.regex.pattern if p_pattern.startswith('^'): p_pattern = p_pattern[1:] if isinstance(pattern, RegexURLResolver): if pattern.namespace: namespaces[pattern.namespace] = (p_pattern, pattern) if pattern.app_name: apps.setdefault(pattern.app_name, []).append(pattern.namespace) else: parent = normalize(pattern.regex.pattern) for name in pattern.reverse_dict: for matches, pat in pattern.reverse_dict.getlist(name): new_matches = [] for piece, p_args in parent: new_matches.extend([(piece + suffix, p_args + args) for (suffix, args) in matches]) lookups.appendlist(name, (new_matches, p_pattern + pat)) for namespace, (prefix, sub_pattern) in pattern.namespace_dict.items(): namespaces[namespace] = (p_pattern + prefix, sub_pattern) for app_name, namespace_list in pattern.app_dict.items(): apps.setdefault(app_name, []).extend(namespace_list) else: bits = normalize(p_pattern) lookups.appendlist(pattern.callback, (bits, p_pattern)) lookups.appendlist(pattern.name, (bits, p_pattern)) self._reverse_dict = lookups self._namespace_dict = namespaces self._app_dict = apps def _get_reverse_dict(self): if self._reverse_dict is None: self._populate() return self._reverse_dict reverse_dict = property(_get_reverse_dict) def _get_namespace_dict(self): if self._namespace_dict is None: self._populate() return self._namespace_dict namespace_dict = property(_get_namespace_dict) def _get_app_dict(self): if self._app_dict is None: self._populate() return self._app_dict app_dict = property(_get_app_dict) def resolve(self, path): tried = [] match = self.regex.search(path) if match: new_path = path[match.end():] for pattern in self.url_patterns: try: sub_match = pattern.resolve(new_path) except Resolver404, e: sub_tried = e.args[0].get('tried') if sub_tried is not None: tried.extend([(pattern.regex.pattern + ' ' + t) for t in sub_tried]) else: tried.append(pattern.regex.pattern) else: if sub_match: sub_match_dict = dict([(smart_str(k), v) for k, v in match.groupdict().items()]) sub_match_dict.update(self.default_kwargs) for k, v in sub_match[2].iteritems(): sub_match_dict[smart_str(k)] = v return sub_match[0], sub_match[1], sub_match_dict tried.append(pattern.regex.pattern) raise Resolver404, {'tried': tried, 'path': new_path} raise Resolver404, {'path' : path} def _get_urlconf_module(self): try: return self._urlconf_module except AttributeError: self._urlconf_module = import_module(self.urlconf_name) return self._urlconf_module urlconf_module = property(_get_urlconf_module) def _get_url_patterns(self): patterns = getattr(self.urlconf_module, "urlpatterns", self.urlconf_module) try: iter(patterns) except TypeError: raise ImproperlyConfigured("The included urlconf %s doesn't have any " "patterns in it" % self.urlconf_name) return patterns url_patterns = property(_get_url_patterns) def _resolve_special(self, view_type): callback = getattr(self.urlconf_module, 'handler%s' % view_type) mod_name, func_name = get_mod_func(callback) try: return getattr(import_module(mod_name), func_name), {} except (ImportError, AttributeError), e: raise ViewDoesNotExist, "Tried %s. Error was: %s" % (callback, str(e)) def resolve404(self): return self._resolve_special('404') def resolve500(self): return self._resolve_special('500') def reverse(self, lookup_view, *args, **kwargs): if args and kwargs: raise ValueError("Don't mix *args and **kwargs in call to reverse()!") try: lookup_view = get_callable(lookup_view, True) except (ImportError, AttributeError), e: raise NoReverseMatch("Error importing '%s': %s." % (lookup_view, e)) possibilities = self.reverse_dict.getlist(lookup_view) for possibility, pattern in possibilities: for result, params in possibility: if args: if len(args) != len(params): continue unicode_args = [force_unicode(val) for val in args] candidate = result % dict(zip(params, unicode_args)) else: if set(kwargs.keys()) != set(params): continue unicode_kwargs = dict([(k, force_unicode(v)) for (k, v) in kwargs.items()]) candidate = result % unicode_kwargs if re.search(u'^%s' % pattern, candidate, re.UNICODE): return candidate # lookup_view can be URL label, or dotted path, or callable, Any of # these can be passed in at the top, but callables are not friendly in # error messages. m = getattr(lookup_view, '__module__', None) n = getattr(lookup_view, '__name__', None) if m is not None and n is not None: lookup_view_s = "%s.%s" % (m, n) else: lookup_view_s = lookup_view raise NoReverseMatch("Reverse for '%s' with arguments '%s' and keyword " "arguments '%s' not found." % (lookup_view_s, args, kwargs)) def resolve(path, urlconf=None): if urlconf is None: urlconf = get_urlconf() return get_resolver(urlconf).resolve(path) def reverse(viewname, urlconf=None, args=None, kwargs=None, prefix=None, current_app=None): if urlconf is None: urlconf = get_urlconf() resolver = get_resolver(urlconf) args = args or [] kwargs = kwargs or {} if prefix is None: prefix = get_script_prefix() if not isinstance(viewname, basestring): view = viewname else: parts = viewname.split(':') parts.reverse() view = parts[0] path = parts[1:] resolved_path = [] while path: ns = path.pop() # Lookup the name to see if it could be an app identifier try: app_list = resolver.app_dict[ns] # Yes! Path part matches an app in the current Resolver if current_app and current_app in app_list: # If we are reversing for a particular app, use that namespace ns = current_app elif ns not in app_list: # The name isn't shared by one of the instances (i.e., the default) # so just pick the first instance as the default. ns = app_list[0] except KeyError: pass try: extra, resolver = resolver.namespace_dict[ns] resolved_path.append(ns) prefix = prefix + extra except KeyError, key: if resolved_path: raise NoReverseMatch("%s is not a registered namespace inside '%s'" % (key, ':'.join(resolved_path))) else: raise NoReverseMatch("%s is not a registered namespace" % key) return iri_to_uri(u'%s%s' % (prefix, resolver.reverse(view, *args, **kwargs))) def clear_url_caches(): global _resolver_cache global _callable_cache _resolver_cache.clear() _callable_cache.clear() def set_script_prefix(prefix): """ Sets the script prefix for the current thread. """ if not prefix.endswith('/'): prefix += '/' _prefixes[currentThread()] = prefix def get_script_prefix(): """ Returns the currently active script prefix. Useful for client code that wishes to construct their own URLs manually (although accessing the request instance is normally going to be a lot cleaner). """ return _prefixes.get(currentThread(), u'/') def set_urlconf(urlconf_name): """ Sets the URLconf for the current thread (overriding the default one in settings). Set to None to revert back to the default. """ thread = currentThread() if urlconf_name: _urlconfs[thread] = urlconf_name else: # faster than wrapping in a try/except if thread in _urlconfs: del _urlconfs[thread] def get_urlconf(default=None): """ Returns the root URLconf to use for the current thread if it has been changed from the default one. """ thread = currentThread() if thread in _urlconfs: return _urlconfs[thread] return default pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/data/2to3/xheaders.py.txt000066400000000000000000000022161514162565100314160ustar00rootroot00000000000000""" Pages in Django can are served up with custom HTTP headers containing useful information about those pages -- namely, the content type and object ID. This module contains utility functions for retrieving and doing interesting things with these special "X-Headers" (so called because the HTTP spec demands that custom headers are prefixed with "X-"). Next time you're at slashdot.org, watch out for X-Fry and X-Bender. :) """ def populate_xheaders(request, response, model, object_id): """ Adds the "X-Object-Type" and "X-Object-Id" headers to the given HttpResponse according to the given model and object_id -- but only if the given HttpRequest object has an IP address within the INTERNAL_IPS setting or if the request is from a logged in staff member. """ from django.conf import settings if (request.META.get('REMOTE_ADDR') in settings.INTERNAL_IPS or (hasattr(request, 'user') and request.user.is_authenticated() and request.user.is_staff)): response['X-Object-Type'] = "%s.%s" % (model._meta.app_label, model._meta.object_name.lower()) response['X-Object-Id'] = str(object_id) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/pyproject.toml000066400000000000000000000004731514162565100276420ustar00rootroot00000000000000[build-system] requires = ["setuptools>=61"] build-backend = "setuptools.build_meta" [project] name = "pyperformance_bm_2to3" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "2to3" tags = "apps" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/run_benchmark.py000066400000000000000000000012741514162565100301160ustar00rootroot00000000000000import glob import os.path import sys import subprocess import pyperf if __name__ == "__main__": runner = pyperf.Runner() runner.metadata['description'] = "Performance of the Python 2to3 program" args = runner.parse_args() datadir = os.path.join(os.path.dirname(__file__), 'data', '2to3') pyfiles = glob.glob(os.path.join(datadir, '*.py.txt')) command = [sys.executable, "-m", "lib2to3", "-f", "all"] + pyfiles try: import lib2to3 except ModuleNotFoundError: vendor = os.path.join(os.path.dirname(__file__), 'vendor') subprocess.run([sys.executable, "-m", "pip", "install", vendor], check=True) runner.bench_command('2to3', command) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/000077500000000000000000000000001514162565100262175ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/LICENSE.txt000066400000000000000000000047001514162565100300430ustar00rootroot00000000000000PYTHON SOFTWARE FOUNDATION LICENSE VERSION 2 -------------------------------------------- 1. This LICENSE AGREEMENT is between the Python Software Foundation ("PSF"), and the Individual or Organization ("Licensee") accessing and otherwise using this software ("Python") in source or binary form and its associated documentation. 2. Subject to the terms and conditions of this License Agreement, PSF hereby grants Licensee a nonexclusive, royalty-free, world-wide license to reproduce, analyze, test, perform and/or display publicly, prepare derivative works, distribute, and otherwise use Python alone or in any derivative version, provided, however, that PSF's License Agreement and PSF's notice of copyright, i.e., "Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Python Software Foundation; All Rights Reserved" are retained in Python alone or in any derivative version prepared by Licensee. 3. 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By copying, installing or otherwise using Python, Licensee agrees to be bound by the terms and conditions of this License Agreement. pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/pyproject.toml000066400000000000000000000006371514162565100311410ustar00rootroot00000000000000[build-system] requires = ["setuptools>=61"] build-backend = "setuptools.build_meta" [project] name = "lib2to3" version = "3.12" description = "lib2to3 for Python 3.13+" requires-python = ">=3.13.0a0" license = {text = "PSF-2.0"} classifiers = [ "License :: OSI Approved :: Python Software Foundation License", ] [tool.setuptools.package-data] "*" = ["*.txt"] [tool.setuptools.packages.find] where = ["src"] pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/000077500000000000000000000000001514162565100270065ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/000077500000000000000000000000001514162565100302645ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/Grammar.txt000066400000000000000000000207701514162565100324210ustar00rootroot00000000000000# Grammar for 2to3. This grammar supports Python 2.x and 3.x. # NOTE WELL: You should also follow all the steps listed at # https://devguide.python.org/grammar/ # Start symbols for the grammar: # file_input is a module or sequence of commands read from an input file; # single_input is a single interactive statement; # eval_input is the input for the eval() and input() functions. # NB: compound_stmt in single_input is followed by extra NEWLINE! file_input: (NEWLINE | stmt)* ENDMARKER single_input: NEWLINE | simple_stmt | compound_stmt NEWLINE eval_input: testlist NEWLINE* ENDMARKER decorator: '@' dotted_name [ '(' [arglist] ')' ] NEWLINE decorators: decorator+ decorated: decorators (classdef | funcdef | async_funcdef) async_funcdef: ASYNC funcdef funcdef: 'def' NAME parameters ['->' test] ':' suite parameters: '(' [typedargslist] ')' # The following definition for typedarglist is equivalent to this set of rules: # # arguments = argument (',' argument)* # argument = tfpdef ['=' test] # kwargs = '**' tname [','] # args = '*' [tname] # kwonly_kwargs = (',' argument)* [',' [kwargs]] # args_kwonly_kwargs = args kwonly_kwargs | kwargs # poskeyword_args_kwonly_kwargs = arguments [',' [args_kwonly_kwargs]] # typedargslist_no_posonly = poskeyword_args_kwonly_kwargs | args_kwonly_kwargs # typedarglist = arguments ',' '/' [',' [typedargslist_no_posonly]])|(typedargslist_no_posonly)" # # It needs to be fully expanded to allow our LL(1) parser to work on it. typedargslist: tfpdef ['=' test] (',' tfpdef ['=' test])* ',' '/' [ ',' [((tfpdef ['=' test] ',')* ('*' [tname] (',' tname ['=' test])* [',' ['**' tname [',']]] | '**' tname [',']) | tfpdef ['=' test] (',' tfpdef ['=' test])* [','])] ] | ((tfpdef ['=' test] ',')* ('*' [tname] (',' tname ['=' test])* [',' ['**' tname [',']]] | '**' tname [',']) | tfpdef ['=' test] (',' tfpdef ['=' test])* [',']) tname: NAME [':' test] tfpdef: tname | '(' tfplist ')' tfplist: tfpdef (',' tfpdef)* [','] # The following definition for varargslist is equivalent to this set of rules: # # arguments = argument (',' argument )* # argument = vfpdef ['=' test] # kwargs = '**' vname [','] # args = '*' [vname] # kwonly_kwargs = (',' argument )* [',' [kwargs]] # args_kwonly_kwargs = args kwonly_kwargs | kwargs # poskeyword_args_kwonly_kwargs = arguments [',' [args_kwonly_kwargs]] # vararglist_no_posonly = poskeyword_args_kwonly_kwargs | args_kwonly_kwargs # varargslist = arguments ',' '/' [','[(vararglist_no_posonly)]] | (vararglist_no_posonly) # # It needs to be fully expanded to allow our LL(1) parser to work on it. varargslist: vfpdef ['=' test ](',' vfpdef ['=' test])* ',' '/' [',' [ ((vfpdef ['=' test] ',')* ('*' [vname] (',' vname ['=' test])* [',' ['**' vname [',']]] | '**' vname [',']) | vfpdef ['=' test] (',' vfpdef ['=' test])* [',']) ]] | ((vfpdef ['=' test] ',')* ('*' [vname] (',' vname ['=' test])* [',' ['**' vname [',']]]| '**' vname [',']) | vfpdef ['=' test] (',' vfpdef ['=' test])* [',']) vname: NAME vfpdef: vname | '(' vfplist ')' vfplist: vfpdef (',' vfpdef)* [','] stmt: simple_stmt | compound_stmt simple_stmt: small_stmt (';' small_stmt)* [';'] NEWLINE small_stmt: (expr_stmt | print_stmt | del_stmt | pass_stmt | flow_stmt | import_stmt | global_stmt | exec_stmt | assert_stmt) expr_stmt: testlist_star_expr (annassign | augassign (yield_expr|testlist) | ('=' (yield_expr|testlist_star_expr))*) annassign: ':' test ['=' test] testlist_star_expr: (test|star_expr) (',' (test|star_expr))* [','] augassign: ('+=' | '-=' | '*=' | '@=' | '/=' | '%=' | '&=' | '|=' | '^=' | '<<=' | '>>=' | '**=' | '//=') # For normal and annotated assignments, additional restrictions enforced by the interpreter print_stmt: 'print' ( [ test (',' test)* [','] ] | '>>' test [ (',' test)+ [','] ] ) del_stmt: 'del' exprlist pass_stmt: 'pass' flow_stmt: break_stmt | continue_stmt | return_stmt | raise_stmt | yield_stmt break_stmt: 'break' continue_stmt: 'continue' return_stmt: 'return' [testlist_star_expr] yield_stmt: yield_expr raise_stmt: 'raise' [test ['from' test | ',' test [',' test]]] import_stmt: import_name | import_from import_name: 'import' dotted_as_names import_from: ('from' ('.'* dotted_name | '.'+) 'import' ('*' | '(' import_as_names ')' | import_as_names)) import_as_name: NAME ['as' NAME] dotted_as_name: dotted_name ['as' NAME] import_as_names: import_as_name (',' import_as_name)* [','] dotted_as_names: dotted_as_name (',' dotted_as_name)* dotted_name: NAME ('.' NAME)* global_stmt: ('global' | 'nonlocal') NAME (',' NAME)* exec_stmt: 'exec' expr ['in' test [',' test]] assert_stmt: 'assert' test [',' test] compound_stmt: if_stmt | while_stmt | for_stmt | try_stmt | with_stmt | funcdef | classdef | decorated | async_stmt async_stmt: ASYNC (funcdef | with_stmt | for_stmt) if_stmt: 'if' namedexpr_test ':' suite ('elif' namedexpr_test ':' suite)* ['else' ':' suite] while_stmt: 'while' namedexpr_test ':' suite ['else' ':' suite] for_stmt: 'for' exprlist 'in' testlist ':' suite ['else' ':' suite] try_stmt: ('try' ':' suite ((except_clause ':' suite)+ ['else' ':' suite] ['finally' ':' suite] | 'finally' ':' suite)) with_stmt: 'with' with_item (',' with_item)* ':' suite with_item: test ['as' expr] with_var: 'as' expr # NB compile.c makes sure that the default except clause is last except_clause: 'except' [test [(',' | 'as') test]] suite: simple_stmt | NEWLINE INDENT stmt+ DEDENT # Backward compatibility cruft to support: # [ x for x in lambda: True, lambda: False if x() ] # even while also allowing: # lambda x: 5 if x else 2 # (But not a mix of the two) testlist_safe: old_test [(',' old_test)+ [',']] old_test: or_test | old_lambdef old_lambdef: 'lambda' [varargslist] ':' old_test namedexpr_test: test [':=' test] test: or_test ['if' or_test 'else' test] | lambdef or_test: and_test ('or' and_test)* and_test: not_test ('and' not_test)* not_test: 'not' not_test | comparison comparison: expr (comp_op expr)* comp_op: '<'|'>'|'=='|'>='|'<='|'<>'|'!='|'in'|'not' 'in'|'is'|'is' 'not' star_expr: '*' expr expr: xor_expr ('|' xor_expr)* xor_expr: and_expr ('^' and_expr)* and_expr: shift_expr ('&' shift_expr)* shift_expr: arith_expr (('<<'|'>>') arith_expr)* arith_expr: term (('+'|'-') term)* term: factor (('*'|'@'|'/'|'%'|'//') factor)* factor: ('+'|'-'|'~') factor | power power: [AWAIT] atom trailer* ['**' factor] atom: ('(' [yield_expr|testlist_gexp] ')' | '[' [listmaker] ']' | '{' [dictsetmaker] '}' | '`' testlist1 '`' | NAME | NUMBER | STRING+ | '.' '.' '.') listmaker: (namedexpr_test|star_expr) ( comp_for | (',' (namedexpr_test|star_expr))* [','] ) testlist_gexp: (namedexpr_test|star_expr) ( comp_for | (',' (namedexpr_test|star_expr))* [','] ) lambdef: 'lambda' [varargslist] ':' test trailer: '(' [arglist] ')' | '[' subscriptlist ']' | '.' NAME subscriptlist: subscript (',' subscript)* [','] subscript: test | [test] ':' [test] [sliceop] sliceop: ':' [test] exprlist: (expr|star_expr) (',' (expr|star_expr))* [','] testlist: test (',' test)* [','] dictsetmaker: ( ((test ':' test | '**' expr) (comp_for | (',' (test ':' test | '**' expr))* [','])) | ((test | star_expr) (comp_for | (',' (test | star_expr))* [','])) ) classdef: 'class' NAME ['(' [arglist] ')'] ':' suite arglist: argument (',' argument)* [','] # "test '=' test" is really "keyword '=' test", but we have no such token. # These need to be in a single rule to avoid grammar that is ambiguous # to our LL(1) parser. Even though 'test' includes '*expr' in star_expr, # we explicitly match '*' here, too, to give it proper precedence. # Illegal combinations and orderings are blocked in ast.c: # multiple (test comp_for) arguments are blocked; keyword unpackings # that precede iterable unpackings are blocked; etc. argument: ( test [comp_for] | test ':=' test | test '=' test | '**' test | '*' test ) comp_iter: comp_for | comp_if comp_for: [ASYNC] 'for' exprlist 'in' testlist_safe [comp_iter] comp_if: 'if' old_test [comp_iter] testlist1: test (',' test)* # not used in grammar, but may appear in "node" passed from Parser to Compiler encoding_decl: NAME yield_expr: 'yield' [yield_arg] yield_arg: 'from' test | testlist_star_expr PatternGrammar.txt000066400000000000000000000014311514162565100336710ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3# Copyright 2006 Google, Inc. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. # A grammar to describe tree matching patterns. # Not shown here: # - 'TOKEN' stands for any token (leaf node) # - 'any' stands for any node (leaf or interior) # With 'any' we can still specify the sub-structure. # The start symbol is 'Matcher'. Matcher: Alternatives ENDMARKER Alternatives: Alternative ('|' Alternative)* Alternative: (Unit | NegatedUnit)+ Unit: [NAME '='] ( STRING [Repeater] | NAME [Details] [Repeater] | '(' Alternatives ')' [Repeater] | '[' Alternatives ']' ) NegatedUnit: 'not' (STRING | NAME [Details] | '(' Alternatives ')') Repeater: '*' | '+' | '{' NUMBER [',' NUMBER] '}' Details: '<' Alternatives '>' pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/__init__.py000066400000000000000000000000001514162565100323630ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/__main__.py000066400000000000000000000001031514162565100323500ustar00rootroot00000000000000import sys from .main import main sys.exit(main("lib2to3.fixes")) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/btm_matcher.py000066400000000000000000000147371514162565100331370ustar00rootroot00000000000000"""A bottom-up tree matching algorithm implementation meant to speed up 2to3's matching process. After the tree patterns are reduced to their rarest linear path, a linear Aho-Corasick automaton is created. The linear automaton traverses the linear paths from the leaves to the root of the AST and returns a set of nodes for further matching. This reduces significantly the number of candidate nodes.""" __author__ = "George Boutsioukis " import logging import itertools from collections import defaultdict from . import pytree from .btm_utils import reduce_tree class BMNode(object): """Class for a node of the Aho-Corasick automaton used in matching""" count = itertools.count() def __init__(self): self.transition_table = {} self.fixers = [] self.id = next(BMNode.count) self.content = '' class BottomMatcher(object): """The main matcher class. After instantiating the patterns should be added using the add_fixer method""" def __init__(self): self.match = set() self.root = BMNode() self.nodes = [self.root] self.fixers = [] self.logger = logging.getLogger("RefactoringTool") def add_fixer(self, fixer): """Reduces a fixer's pattern tree to a linear path and adds it to the matcher(a common Aho-Corasick automaton). The fixer is appended on the matching states and called when they are reached""" self.fixers.append(fixer) tree = reduce_tree(fixer.pattern_tree) linear = tree.get_linear_subpattern() match_nodes = self.add(linear, start=self.root) for match_node in match_nodes: match_node.fixers.append(fixer) def add(self, pattern, start): "Recursively adds a linear pattern to the AC automaton" #print("adding pattern", pattern, "to", start) if not pattern: #print("empty pattern") return [start] if isinstance(pattern[0], tuple): #alternatives #print("alternatives") match_nodes = [] for alternative in pattern[0]: #add all alternatives, and add the rest of the pattern #to each end node end_nodes = self.add(alternative, start=start) for end in end_nodes: match_nodes.extend(self.add(pattern[1:], end)) return match_nodes else: #single token #not last if pattern[0] not in start.transition_table: #transition did not exist, create new next_node = BMNode() start.transition_table[pattern[0]] = next_node else: #transition exists already, follow next_node = start.transition_table[pattern[0]] if pattern[1:]: end_nodes = self.add(pattern[1:], start=next_node) else: end_nodes = [next_node] return end_nodes def run(self, leaves): """The main interface with the bottom matcher. The tree is traversed from the bottom using the constructed automaton. Nodes are only checked once as the tree is retraversed. When the automaton fails, we give it one more shot(in case the above tree matches as a whole with the rejected leaf), then we break for the next leaf. There is the special case of multiple arguments(see code comments) where we recheck the nodes Args: The leaves of the AST tree to be matched Returns: A dictionary of node matches with fixers as the keys """ current_ac_node = self.root results = defaultdict(list) for leaf in leaves: current_ast_node = leaf while current_ast_node: current_ast_node.was_checked = True for child in current_ast_node.children: # multiple statements, recheck if isinstance(child, pytree.Leaf) and child.value == ";": current_ast_node.was_checked = False break if current_ast_node.type == 1: #name node_token = current_ast_node.value else: node_token = current_ast_node.type if node_token in current_ac_node.transition_table: #token matches current_ac_node = current_ac_node.transition_table[node_token] for fixer in current_ac_node.fixers: results[fixer].append(current_ast_node) else: #matching failed, reset automaton current_ac_node = self.root if (current_ast_node.parent is not None and current_ast_node.parent.was_checked): #the rest of the tree upwards has been checked, next leaf break #recheck the rejected node once from the root if node_token in current_ac_node.transition_table: #token matches current_ac_node = current_ac_node.transition_table[node_token] for fixer in current_ac_node.fixers: results[fixer].append(current_ast_node) current_ast_node = current_ast_node.parent return results def print_ac(self): "Prints a graphviz diagram of the BM automaton(for debugging)" print("digraph g{") def print_node(node): for subnode_key in node.transition_table.keys(): subnode = node.transition_table[subnode_key] print("%d -> %d [label=%s] //%s" % (node.id, subnode.id, type_repr(subnode_key), str(subnode.fixers))) if subnode_key == 1: print(subnode.content) print_node(subnode) print_node(self.root) print("}") # taken from pytree.py for debugging; only used by print_ac _type_reprs = {} def type_repr(type_num): global _type_reprs if not _type_reprs: from .pygram import python_symbols # printing tokens is possible but not as useful # from .pgen2 import token // token.__dict__.items(): for name, val in python_symbols.__dict__.items(): if type(val) == int: _type_reprs[val] = name return _type_reprs.setdefault(type_num, type_num) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/btm_utils.py000066400000000000000000000233311514162565100326420ustar00rootroot00000000000000"Utility functions used by the btm_matcher module" from . import pytree from .pgen2 import grammar, token from .pygram import pattern_symbols, python_symbols syms = pattern_symbols pysyms = python_symbols tokens = grammar.opmap token_labels = token TYPE_ANY = -1 TYPE_ALTERNATIVES = -2 TYPE_GROUP = -3 class MinNode(object): """This class serves as an intermediate representation of the pattern tree during the conversion to sets of leaf-to-root subpatterns""" def __init__(self, type=None, name=None): self.type = type self.name = name self.children = [] self.leaf = False self.parent = None self.alternatives = [] self.group = [] def __repr__(self): return str(self.type) + ' ' + str(self.name) def leaf_to_root(self): """Internal method. Returns a characteristic path of the pattern tree. This method must be run for all leaves until the linear subpatterns are merged into a single""" node = self subp = [] while node: if node.type == TYPE_ALTERNATIVES: node.alternatives.append(subp) if len(node.alternatives) == len(node.children): #last alternative subp = [tuple(node.alternatives)] node.alternatives = [] node = node.parent continue else: node = node.parent subp = None break if node.type == TYPE_GROUP: node.group.append(subp) #probably should check the number of leaves if len(node.group) == len(node.children): subp = get_characteristic_subpattern(node.group) node.group = [] node = node.parent continue else: node = node.parent subp = None break if node.type == token_labels.NAME and node.name: #in case of type=name, use the name instead subp.append(node.name) else: subp.append(node.type) node = node.parent return subp def get_linear_subpattern(self): """Drives the leaf_to_root method. The reason that leaf_to_root must be run multiple times is because we need to reject 'group' matches; for example the alternative form (a | b c) creates a group [b c] that needs to be matched. Since matching multiple linear patterns overcomes the automaton's capabilities, leaf_to_root merges each group into a single choice based on 'characteristic'ity, i.e. (a|b c) -> (a|b) if b more characteristic than c Returns: The most 'characteristic'(as defined by get_characteristic_subpattern) path for the compiled pattern tree. """ for l in self.leaves(): subp = l.leaf_to_root() if subp: return subp def leaves(self): "Generator that returns the leaves of the tree" for child in self.children: yield from child.leaves() if not self.children: yield self def reduce_tree(node, parent=None): """ Internal function. Reduces a compiled pattern tree to an intermediate representation suitable for feeding the automaton. This also trims off any optional pattern elements(like [a], a*). """ new_node = None #switch on the node type if node.type == syms.Matcher: #skip node = node.children[0] if node.type == syms.Alternatives : #2 cases if len(node.children) <= 2: #just a single 'Alternative', skip this node new_node = reduce_tree(node.children[0], parent) else: #real alternatives new_node = MinNode(type=TYPE_ALTERNATIVES) #skip odd children('|' tokens) for child in node.children: if node.children.index(child)%2: continue reduced = reduce_tree(child, new_node) if reduced is not None: new_node.children.append(reduced) elif node.type == syms.Alternative: if len(node.children) > 1: new_node = MinNode(type=TYPE_GROUP) for child in node.children: reduced = reduce_tree(child, new_node) if reduced: new_node.children.append(reduced) if not new_node.children: # delete the group if all of the children were reduced to None new_node = None else: new_node = reduce_tree(node.children[0], parent) elif node.type == syms.Unit: if (isinstance(node.children[0], pytree.Leaf) and node.children[0].value == '('): #skip parentheses return reduce_tree(node.children[1], parent) if ((isinstance(node.children[0], pytree.Leaf) and node.children[0].value == '[') or (len(node.children)>1 and hasattr(node.children[1], "value") and node.children[1].value == '[')): #skip whole unit if its optional return None leaf = True details_node = None alternatives_node = None has_repeater = False repeater_node = None has_variable_name = False for child in node.children: if child.type == syms.Details: leaf = False details_node = child elif child.type == syms.Repeater: has_repeater = True repeater_node = child elif child.type == syms.Alternatives: alternatives_node = child if hasattr(child, 'value') and child.value == '=': # variable name has_variable_name = True #skip variable name if has_variable_name: #skip variable name, '=' name_leaf = node.children[2] if hasattr(name_leaf, 'value') and name_leaf.value == '(': # skip parenthesis name_leaf = node.children[3] else: name_leaf = node.children[0] #set node type if name_leaf.type == token_labels.NAME: #(python) non-name or wildcard if name_leaf.value == 'any': new_node = MinNode(type=TYPE_ANY) else: if hasattr(token_labels, name_leaf.value): new_node = MinNode(type=getattr(token_labels, name_leaf.value)) else: new_node = MinNode(type=getattr(pysyms, name_leaf.value)) elif name_leaf.type == token_labels.STRING: #(python) name or character; remove the apostrophes from #the string value name = name_leaf.value.strip("'") if name in tokens: new_node = MinNode(type=tokens[name]) else: new_node = MinNode(type=token_labels.NAME, name=name) elif name_leaf.type == syms.Alternatives: new_node = reduce_tree(alternatives_node, parent) #handle repeaters if has_repeater: if repeater_node.children[0].value == '*': #reduce to None new_node = None elif repeater_node.children[0].value == '+': #reduce to a single occurrence i.e. do nothing pass else: #TODO: handle {min, max} repeaters raise NotImplementedError #add children if details_node and new_node is not None: for child in details_node.children[1:-1]: #skip '<', '>' markers reduced = reduce_tree(child, new_node) if reduced is not None: new_node.children.append(reduced) if new_node: new_node.parent = parent return new_node def get_characteristic_subpattern(subpatterns): """Picks the most characteristic from a list of linear patterns Current order used is: names > common_names > common_chars """ if not isinstance(subpatterns, list): return subpatterns if len(subpatterns)==1: return subpatterns[0] # first pick out the ones containing variable names subpatterns_with_names = [] subpatterns_with_common_names = [] common_names = ['in', 'for', 'if' , 'not', 'None'] subpatterns_with_common_chars = [] common_chars = "[]().,:" for subpattern in subpatterns: if any(rec_test(subpattern, lambda x: type(x) is str)): if any(rec_test(subpattern, lambda x: isinstance(x, str) and x in common_chars)): subpatterns_with_common_chars.append(subpattern) elif any(rec_test(subpattern, lambda x: isinstance(x, str) and x in common_names)): subpatterns_with_common_names.append(subpattern) else: subpatterns_with_names.append(subpattern) if subpatterns_with_names: subpatterns = subpatterns_with_names elif subpatterns_with_common_names: subpatterns = subpatterns_with_common_names elif subpatterns_with_common_chars: subpatterns = subpatterns_with_common_chars # of the remaining subpatterns pick out the longest one return max(subpatterns, key=len) def rec_test(sequence, test_func): """Tests test_func on all items of sequence and items of included sub-iterables""" for x in sequence: if isinstance(x, (list, tuple)): yield from rec_test(x, test_func) else: yield test_func(x) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixer_base.py000066400000000000000000000150421514162565100327470ustar00rootroot00000000000000# Copyright 2006 Google, Inc. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. """Base class for fixers (optional, but recommended).""" # Python imports import itertools # Local imports from .patcomp import PatternCompiler from . import pygram from .fixer_util import does_tree_import class BaseFix(object): """Optional base class for fixers. The subclass name must be FixFooBar where FooBar is the result of removing underscores and capitalizing the words of the fix name. For example, the class name for a fixer named 'has_key' should be FixHasKey. """ PATTERN = None # Most subclasses should override with a string literal pattern = None # Compiled pattern, set by compile_pattern() pattern_tree = None # Tree representation of the pattern options = None # Options object passed to initializer filename = None # The filename (set by set_filename) numbers = itertools.count(1) # For new_name() used_names = set() # A set of all used NAMEs order = "post" # Does the fixer prefer pre- or post-order traversal explicit = False # Is this ignored by refactor.py -f all? run_order = 5 # Fixers will be sorted by run order before execution # Lower numbers will be run first. _accept_type = None # [Advanced and not public] This tells RefactoringTool # which node type to accept when there's not a pattern. keep_line_order = False # For the bottom matcher: match with the # original line order BM_compatible = False # Compatibility with the bottom matching # module; every fixer should set this # manually # Shortcut for access to Python grammar symbols syms = pygram.python_symbols def __init__(self, options, log): """Initializer. Subclass may override. Args: options: a dict containing the options passed to RefactoringTool that could be used to customize the fixer through the command line. log: a list to append warnings and other messages to. """ self.options = options self.log = log self.compile_pattern() def compile_pattern(self): """Compiles self.PATTERN into self.pattern. Subclass may override if it doesn't want to use self.{pattern,PATTERN} in .match(). """ if self.PATTERN is not None: PC = PatternCompiler() self.pattern, self.pattern_tree = PC.compile_pattern(self.PATTERN, with_tree=True) def set_filename(self, filename): """Set the filename. The main refactoring tool should call this. """ self.filename = filename def match(self, node): """Returns match for a given parse tree node. Should return a true or false object (not necessarily a bool). It may return a non-empty dict of matching sub-nodes as returned by a matching pattern. Subclass may override. """ results = {"node": node} return self.pattern.match(node, results) and results def transform(self, node, results): """Returns the transformation for a given parse tree node. Args: node: the root of the parse tree that matched the fixer. results: a dict mapping symbolic names to part of the match. Returns: None, or a node that is a modified copy of the argument node. The node argument may also be modified in-place to effect the same change. Subclass *must* override. """ raise NotImplementedError() def new_name(self, template="xxx_todo_changeme"): """Return a string suitable for use as an identifier The new name is guaranteed not to conflict with other identifiers. """ name = template while name in self.used_names: name = template + str(next(self.numbers)) self.used_names.add(name) return name def log_message(self, message): if self.first_log: self.first_log = False self.log.append("### In file %s ###" % self.filename) self.log.append(message) def cannot_convert(self, node, reason=None): """Warn the user that a given chunk of code is not valid Python 3, but that it cannot be converted automatically. First argument is the top-level node for the code in question. Optional second argument is why it can't be converted. """ lineno = node.get_lineno() for_output = node.clone() for_output.prefix = "" msg = "Line %d: could not convert: %s" self.log_message(msg % (lineno, for_output)) if reason: self.log_message(reason) def warning(self, node, reason): """Used for warning the user about possible uncertainty in the translation. First argument is the top-level node for the code in question. Optional second argument is why it can't be converted. """ lineno = node.get_lineno() self.log_message("Line %d: %s" % (lineno, reason)) def start_tree(self, tree, filename): """Some fixers need to maintain tree-wide state. This method is called once, at the start of tree fix-up. tree - the root node of the tree to be processed. filename - the name of the file the tree came from. """ self.used_names = tree.used_names self.set_filename(filename) self.numbers = itertools.count(1) self.first_log = True def finish_tree(self, tree, filename): """Some fixers need to maintain tree-wide state. This method is called once, at the conclusion of tree fix-up. tree - the root node of the tree to be processed. filename - the name of the file the tree came from. """ pass class ConditionalFix(BaseFix): """ Base class for fixers which not execute if an import is found. """ # This is the name of the import which, if found, will cause the test to be skipped skip_on = None def start_tree(self, *args): super(ConditionalFix, self).start_tree(*args) self._should_skip = None def should_skip(self, node): if self._should_skip is not None: return self._should_skip pkg = self.skip_on.split(".") name = pkg[-1] pkg = ".".join(pkg[:-1]) self._should_skip = does_tree_import(pkg, name, node) return self._should_skip pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixer_util.py000066400000000000000000000355461514162565100330250ustar00rootroot00000000000000"""Utility functions, node construction macros, etc.""" # Author: Collin Winter # Local imports from .pgen2 import token from .pytree import Leaf, Node from .pygram import python_symbols as syms from . import patcomp ########################################################### ### Common node-construction "macros" ########################################################### def KeywordArg(keyword, value): return Node(syms.argument, [keyword, Leaf(token.EQUAL, "="), value]) def LParen(): return Leaf(token.LPAR, "(") def RParen(): return Leaf(token.RPAR, ")") def Assign(target, source): """Build an assignment statement""" if not isinstance(target, list): target = [target] if not isinstance(source, list): source.prefix = " " source = [source] return Node(syms.atom, target + [Leaf(token.EQUAL, "=", prefix=" ")] + source) def Name(name, prefix=None): """Return a NAME leaf""" return Leaf(token.NAME, name, prefix=prefix) def Attr(obj, attr): """A node tuple for obj.attr""" return [obj, Node(syms.trailer, [Dot(), attr])] def Comma(): """A comma leaf""" return Leaf(token.COMMA, ",") def Dot(): """A period (.) leaf""" return Leaf(token.DOT, ".") def ArgList(args, lparen=LParen(), rparen=RParen()): """A parenthesised argument list, used by Call()""" node = Node(syms.trailer, [lparen.clone(), rparen.clone()]) if args: node.insert_child(1, Node(syms.arglist, args)) return node def Call(func_name, args=None, prefix=None): """A function call""" node = Node(syms.power, [func_name, ArgList(args)]) if prefix is not None: node.prefix = prefix return node def Newline(): """A newline literal""" return Leaf(token.NEWLINE, "\n") def BlankLine(): """A blank line""" return Leaf(token.NEWLINE, "") def Number(n, prefix=None): return Leaf(token.NUMBER, n, prefix=prefix) def Subscript(index_node): """A numeric or string subscript""" return Node(syms.trailer, [Leaf(token.LBRACE, "["), index_node, Leaf(token.RBRACE, "]")]) def String(string, prefix=None): """A string leaf""" return Leaf(token.STRING, string, prefix=prefix) def ListComp(xp, fp, it, test=None): """A list comprehension of the form [xp for fp in it if test]. If test is None, the "if test" part is omitted. """ xp.prefix = "" fp.prefix = " " it.prefix = " " for_leaf = Leaf(token.NAME, "for") for_leaf.prefix = " " in_leaf = Leaf(token.NAME, "in") in_leaf.prefix = " " inner_args = [for_leaf, fp, in_leaf, it] if test: test.prefix = " " if_leaf = Leaf(token.NAME, "if") if_leaf.prefix = " " inner_args.append(Node(syms.comp_if, [if_leaf, test])) inner = Node(syms.listmaker, [xp, Node(syms.comp_for, inner_args)]) return Node(syms.atom, [Leaf(token.LBRACE, "["), inner, Leaf(token.RBRACE, "]")]) def FromImport(package_name, name_leafs): """ Return an import statement in the form: from package import name_leafs""" # XXX: May not handle dotted imports properly (eg, package_name='foo.bar') #assert package_name == '.' or '.' not in package_name, "FromImport has "\ # "not been tested with dotted package names -- use at your own "\ # "peril!" for leaf in name_leafs: # Pull the leaves out of their old tree leaf.remove() children = [Leaf(token.NAME, "from"), Leaf(token.NAME, package_name, prefix=" "), Leaf(token.NAME, "import", prefix=" "), Node(syms.import_as_names, name_leafs)] imp = Node(syms.import_from, children) return imp def ImportAndCall(node, results, names): """Returns an import statement and calls a method of the module: import module module.name()""" obj = results["obj"].clone() if obj.type == syms.arglist: newarglist = obj.clone() else: newarglist = Node(syms.arglist, [obj.clone()]) after = results["after"] if after: after = [n.clone() for n in after] new = Node(syms.power, Attr(Name(names[0]), Name(names[1])) + [Node(syms.trailer, [results["lpar"].clone(), newarglist, results["rpar"].clone()])] + after) new.prefix = node.prefix return new ########################################################### ### Determine whether a node represents a given literal ########################################################### def is_tuple(node): """Does the node represent a tuple literal?""" if isinstance(node, Node) and node.children == [LParen(), RParen()]: return True return (isinstance(node, Node) and len(node.children) == 3 and isinstance(node.children[0], Leaf) and isinstance(node.children[1], Node) and isinstance(node.children[2], Leaf) and node.children[0].value == "(" and node.children[2].value == ")") def is_list(node): """Does the node represent a list literal?""" return (isinstance(node, Node) and len(node.children) > 1 and isinstance(node.children[0], Leaf) and isinstance(node.children[-1], Leaf) and node.children[0].value == "[" and node.children[-1].value == "]") ########################################################### ### Misc ########################################################### def parenthesize(node): return Node(syms.atom, [LParen(), node, RParen()]) consuming_calls = {"sorted", "list", "set", "any", "all", "tuple", "sum", "min", "max", "enumerate"} def attr_chain(obj, attr): """Follow an attribute chain. If you have a chain of objects where a.foo -> b, b.foo-> c, etc, use this to iterate over all objects in the chain. Iteration is terminated by getattr(x, attr) is None. Args: obj: the starting object attr: the name of the chaining attribute Yields: Each successive object in the chain. """ next = getattr(obj, attr) while next: yield next next = getattr(next, attr) p0 = """for_stmt< 'for' any 'in' node=any ':' any* > | comp_for< 'for' any 'in' node=any any* > """ p1 = """ power< ( 'iter' | 'list' | 'tuple' | 'sorted' | 'set' | 'sum' | 'any' | 'all' | 'enumerate' | (any* trailer< '.' 'join' >) ) trailer< '(' node=any ')' > any* > """ p2 = """ power< ( 'sorted' | 'enumerate' ) trailer< '(' arglist ')' > any* > """ pats_built = False def in_special_context(node): """ Returns true if node is in an environment where all that is required of it is being iterable (ie, it doesn't matter if it returns a list or an iterator). See test_map_nochange in test_fixers.py for some examples and tests. """ global p0, p1, p2, pats_built if not pats_built: p0 = patcomp.compile_pattern(p0) p1 = patcomp.compile_pattern(p1) p2 = patcomp.compile_pattern(p2) pats_built = True patterns = [p0, p1, p2] for pattern, parent in zip(patterns, attr_chain(node, "parent")): results = {} if pattern.match(parent, results) and results["node"] is node: return True return False def is_probably_builtin(node): """ Check that something isn't an attribute or function name etc. """ prev = node.prev_sibling if prev is not None and prev.type == token.DOT: # Attribute lookup. return False parent = node.parent if parent.type in (syms.funcdef, syms.classdef): return False if parent.type == syms.expr_stmt and parent.children[0] is node: # Assignment. return False if parent.type == syms.parameters or \ (parent.type == syms.typedargslist and ( (prev is not None and prev.type == token.COMMA) or parent.children[0] is node )): # The name of an argument. return False return True def find_indentation(node): """Find the indentation of *node*.""" while node is not None: if node.type == syms.suite and len(node.children) > 2: indent = node.children[1] if indent.type == token.INDENT: return indent.value node = node.parent return "" ########################################################### ### The following functions are to find bindings in a suite ########################################################### def make_suite(node): if node.type == syms.suite: return node node = node.clone() parent, node.parent = node.parent, None suite = Node(syms.suite, [node]) suite.parent = parent return suite def find_root(node): """Find the top level namespace.""" # Scamper up to the top level namespace while node.type != syms.file_input: node = node.parent if not node: raise ValueError("root found before file_input node was found.") return node def does_tree_import(package, name, node): """ Returns true if name is imported from package at the top level of the tree which node belongs to. To cover the case of an import like 'import foo', use None for the package and 'foo' for the name. """ binding = find_binding(name, find_root(node), package) return bool(binding) def is_import(node): """Returns true if the node is an import statement.""" return node.type in (syms.import_name, syms.import_from) def touch_import(package, name, node): """ Works like `does_tree_import` but adds an import statement if it was not imported. """ def is_import_stmt(node): return (node.type == syms.simple_stmt and node.children and is_import(node.children[0])) root = find_root(node) if does_tree_import(package, name, root): return # figure out where to insert the new import. First try to find # the first import and then skip to the last one. insert_pos = offset = 0 for idx, node in enumerate(root.children): if not is_import_stmt(node): continue for offset, node2 in enumerate(root.children[idx:]): if not is_import_stmt(node2): break insert_pos = idx + offset break # if there are no imports where we can insert, find the docstring. # if that also fails, we stick to the beginning of the file if insert_pos == 0: for idx, node in enumerate(root.children): if (node.type == syms.simple_stmt and node.children and node.children[0].type == token.STRING): insert_pos = idx + 1 break if package is None: import_ = Node(syms.import_name, [ Leaf(token.NAME, "import"), Leaf(token.NAME, name, prefix=" ") ]) else: import_ = FromImport(package, [Leaf(token.NAME, name, prefix=" ")]) children = [import_, Newline()] root.insert_child(insert_pos, Node(syms.simple_stmt, children)) _def_syms = {syms.classdef, syms.funcdef} def find_binding(name, node, package=None): """ Returns the node which binds variable name, otherwise None. If optional argument package is supplied, only imports will be returned. See test cases for examples.""" for child in node.children: ret = None if child.type == syms.for_stmt: if _find(name, child.children[1]): return child n = find_binding(name, make_suite(child.children[-1]), package) if n: ret = n elif child.type in (syms.if_stmt, syms.while_stmt): n = find_binding(name, make_suite(child.children[-1]), package) if n: ret = n elif child.type == syms.try_stmt: n = find_binding(name, make_suite(child.children[2]), package) if n: ret = n else: for i, kid in enumerate(child.children[3:]): if kid.type == token.COLON and kid.value == ":": # i+3 is the colon, i+4 is the suite n = find_binding(name, make_suite(child.children[i+4]), package) if n: ret = n elif child.type in _def_syms and child.children[1].value == name: ret = child elif _is_import_binding(child, name, package): ret = child elif child.type == syms.simple_stmt: ret = find_binding(name, child, package) elif child.type == syms.expr_stmt: if _find(name, child.children[0]): ret = child if ret: if not package: return ret if is_import(ret): return ret return None _block_syms = {syms.funcdef, syms.classdef, syms.trailer} def _find(name, node): nodes = [node] while nodes: node = nodes.pop() if node.type > 256 and node.type not in _block_syms: nodes.extend(node.children) elif node.type == token.NAME and node.value == name: return node return None def _is_import_binding(node, name, package=None): """ Will return node if node will import name, or node will import * from package. None is returned otherwise. See test cases for examples. """ if node.type == syms.import_name and not package: imp = node.children[1] if imp.type == syms.dotted_as_names: for child in imp.children: if child.type == syms.dotted_as_name: if child.children[2].value == name: return node elif child.type == token.NAME and child.value == name: return node elif imp.type == syms.dotted_as_name: last = imp.children[-1] if last.type == token.NAME and last.value == name: return node elif imp.type == token.NAME and imp.value == name: return node elif node.type == syms.import_from: # str(...) is used to make life easier here, because # from a.b import parses to ['import', ['a', '.', 'b'], ...] if package and str(node.children[1]).strip() != package: return None n = node.children[3] if package and _find("as", n): # See test_from_import_as for explanation return None elif n.type == syms.import_as_names and _find(name, n): return node elif n.type == syms.import_as_name: child = n.children[2] if child.type == token.NAME and child.value == name: return node elif n.type == token.NAME and n.value == name: return node elif package and n.type == token.STAR: return node return None pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes/000077500000000000000000000000001514162565100314025ustar00rootroot00000000000000__init__.py000066400000000000000000000000571514162565100334360ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes# Dummy file to make this directory a package. fix_apply.py000066400000000000000000000044521514162565100336750ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes# Copyright 2006 Google, Inc. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. """Fixer for apply(). This converts apply(func, v, k) into (func)(*v, **k).""" # Local imports from .. import pytree from ..pgen2 import token from .. import fixer_base from ..fixer_util import Call, Comma, parenthesize class FixApply(fixer_base.BaseFix): BM_compatible = True PATTERN = """ power< 'apply' trailer< '(' arglist< (not argument ')' > > """ def transform(self, node, results): syms = self.syms assert results func = results["func"] args = results["args"] kwds = results.get("kwds") # I feel like we should be able to express this logic in the # PATTERN above but I don't know how to do it so... if args: if (args.type == self.syms.argument and args.children[0].value in {'**', '*'}): return # Make no change. if kwds and (kwds.type == self.syms.argument and kwds.children[0].value == '**'): return # Make no change. prefix = node.prefix func = func.clone() if (func.type not in (token.NAME, syms.atom) and (func.type != syms.power or func.children[-2].type == token.DOUBLESTAR)): # Need to parenthesize func = parenthesize(func) func.prefix = "" args = args.clone() args.prefix = "" if kwds is not None: kwds = kwds.clone() kwds.prefix = "" l_newargs = [pytree.Leaf(token.STAR, "*"), args] if kwds is not None: l_newargs.extend([Comma(), pytree.Leaf(token.DOUBLESTAR, "**"), kwds]) l_newargs[-2].prefix = " " # that's the ** token # XXX Sometimes we could be cleverer, e.g. apply(f, (x, y) + t) # can be translated into f(x, y, *t) instead of f(*(x, y) + t) #new = pytree.Node(syms.power, (func, ArgList(l_newargs))) return Call(func, l_newargs, prefix=prefix) fix_asserts.py000066400000000000000000000017301514162565100342300ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes"""Fixer that replaces deprecated unittest method names.""" # Author: Ezio Melotti from ..fixer_base import BaseFix from ..fixer_util import Name NAMES = dict( assert_="assertTrue", assertEquals="assertEqual", assertNotEquals="assertNotEqual", assertAlmostEquals="assertAlmostEqual", assertNotAlmostEquals="assertNotAlmostEqual", assertRegexpMatches="assertRegex", assertRaisesRegexp="assertRaisesRegex", failUnlessEqual="assertEqual", failIfEqual="assertNotEqual", failUnlessAlmostEqual="assertAlmostEqual", failIfAlmostEqual="assertNotAlmostEqual", failUnless="assertTrue", failUnlessRaises="assertRaises", failIf="assertFalse", ) class FixAsserts(BaseFix): PATTERN = """ power< any+ trailer< '.' meth=(%s)> any* > """ % '|'.join(map(repr, NAMES)) def transform(self, node, results): name = results["meth"][0] name.replace(Name(NAMES[str(name)], prefix=name.prefix)) fix_basestring.py000066400000000000000000000005001514162565100346770ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes"""Fixer for basestring -> str.""" # Author: Christian Heimes # Local imports from .. import fixer_base from ..fixer_util import Name class FixBasestring(fixer_base.BaseFix): BM_compatible = True PATTERN = "'basestring'" def transform(self, node, results): return Name("str", prefix=node.prefix) fix_buffer.py000066400000000000000000000011161514162565100340130ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes# Copyright 2007 Google, Inc. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. """Fixer that changes buffer(...) into memoryview(...).""" # Local imports from .. import fixer_base from ..fixer_util import Name class FixBuffer(fixer_base.BaseFix): BM_compatible = True explicit = True # The user must ask for this fixer PATTERN = """ power< name='buffer' trailer< '(' [any] ')' > any* > """ def transform(self, node, results): name = results["name"] name.replace(Name("memoryview", prefix=name.prefix)) fix_dict.py000066400000000000000000000072601514162565100334730ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes# Copyright 2007 Google, Inc. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. """Fixer for dict methods. d.keys() -> list(d.keys()) d.items() -> list(d.items()) d.values() -> list(d.values()) d.iterkeys() -> iter(d.keys()) d.iteritems() -> iter(d.items()) d.itervalues() -> iter(d.values()) d.viewkeys() -> d.keys() d.viewitems() -> d.items() d.viewvalues() -> d.values() Except in certain very specific contexts: the iter() can be dropped when the context is list(), sorted(), iter() or for...in; the list() can be dropped when the context is list() or sorted() (but not iter() or for...in!). Special contexts that apply to both: list(), sorted(), tuple() set(), any(), all(), sum(). Note: iter(d.keys()) could be written as iter(d) but since the original d.iterkeys() was also redundant we don't fix this. And there are (rare) contexts where it makes a difference (e.g. when passing it as an argument to a function that introspects the argument). """ # Local imports from .. import pytree from .. import patcomp from .. import fixer_base from ..fixer_util import Name, Call, Dot from .. import fixer_util iter_exempt = fixer_util.consuming_calls | {"iter"} class FixDict(fixer_base.BaseFix): BM_compatible = True PATTERN = """ power< head=any+ trailer< '.' method=('keys'|'items'|'values'| 'iterkeys'|'iteritems'|'itervalues'| 'viewkeys'|'viewitems'|'viewvalues') > parens=trailer< '(' ')' > tail=any* > """ def transform(self, node, results): head = results["head"] method = results["method"][0] # Extract node for method name tail = results["tail"] syms = self.syms method_name = method.value isiter = method_name.startswith("iter") isview = method_name.startswith("view") if isiter or isview: method_name = method_name[4:] assert method_name in ("keys", "items", "values"), repr(method) head = [n.clone() for n in head] tail = [n.clone() for n in tail] special = not tail and self.in_special_context(node, isiter) args = head + [pytree.Node(syms.trailer, [Dot(), Name(method_name, prefix=method.prefix)]), results["parens"].clone()] new = pytree.Node(syms.power, args) if not (special or isview): new.prefix = "" new = Call(Name("iter" if isiter else "list"), [new]) if tail: new = pytree.Node(syms.power, [new] + tail) new.prefix = node.prefix return new P1 = "power< func=NAME trailer< '(' node=any ')' > any* >" p1 = patcomp.compile_pattern(P1) P2 = """for_stmt< 'for' any 'in' node=any ':' any* > | comp_for< 'for' any 'in' node=any any* > """ p2 = patcomp.compile_pattern(P2) def in_special_context(self, node, isiter): if node.parent is None: return False results = {} if (node.parent.parent is not None and self.p1.match(node.parent.parent, results) and results["node"] is node): if isiter: # iter(d.iterkeys()) -> iter(d.keys()), etc. return results["func"].value in iter_exempt else: # list(d.keys()) -> list(d.keys()), etc. return results["func"].value in fixer_util.consuming_calls if not isiter: return False # for ... in d.iterkeys() -> for ... in d.keys(), etc. return self.p2.match(node.parent, results) and results["node"] is node fix_except.py000066400000000000000000000064201514162565100340350ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes"""Fixer for except statements with named exceptions. The following cases will be converted: - "except E, T:" where T is a name: except E as T: - "except E, T:" where T is not a name, tuple or list: except E as t: T = t This is done because the target of an "except" clause must be a name. - "except E, T:" where T is a tuple or list literal: except E as t: T = t.args """ # Author: Collin Winter # Local imports from .. import pytree from ..pgen2 import token from .. import fixer_base from ..fixer_util import Assign, Attr, Name, is_tuple, is_list, syms def find_excepts(nodes): for i, n in enumerate(nodes): if n.type == syms.except_clause: if n.children[0].value == 'except': yield (n, nodes[i+2]) class FixExcept(fixer_base.BaseFix): BM_compatible = True PATTERN = """ try_stmt< 'try' ':' (simple_stmt | suite) cleanup=(except_clause ':' (simple_stmt | suite))+ tail=(['except' ':' (simple_stmt | suite)] ['else' ':' (simple_stmt | suite)] ['finally' ':' (simple_stmt | suite)]) > """ def transform(self, node, results): syms = self.syms tail = [n.clone() for n in results["tail"]] try_cleanup = [ch.clone() for ch in results["cleanup"]] for except_clause, e_suite in find_excepts(try_cleanup): if len(except_clause.children) == 4: (E, comma, N) = except_clause.children[1:4] comma.replace(Name("as", prefix=" ")) if N.type != token.NAME: # Generate a new N for the except clause new_N = Name(self.new_name(), prefix=" ") target = N.clone() target.prefix = "" N.replace(new_N) new_N = new_N.clone() # Insert "old_N = new_N" as the first statement in # the except body. This loop skips leading whitespace # and indents #TODO(cwinter) suite-cleanup suite_stmts = e_suite.children for i, stmt in enumerate(suite_stmts): if isinstance(stmt, pytree.Node): break # The assignment is different if old_N is a tuple or list # In that case, the assignment is old_N = new_N.args if is_tuple(N) or is_list(N): assign = Assign(target, Attr(new_N, Name('args'))) else: assign = Assign(target, new_N) #TODO(cwinter) stopgap until children becomes a smart list for child in reversed(suite_stmts[:i]): e_suite.insert_child(0, child) e_suite.insert_child(i, assign) elif N.prefix == "": # No space after a comma is legal; no space after "as", # not so much. N.prefix = " " #TODO(cwinter) fix this when children becomes a smart list children = [c.clone() for c in node.children[:3]] + try_cleanup + tail return pytree.Node(node.type, children) fix_exec.py000066400000000000000000000017231514162565100334720ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes# Copyright 2006 Google, Inc. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. """Fixer for exec. This converts usages of the exec statement into calls to a built-in exec() function. exec code in ns1, ns2 -> exec(code, ns1, ns2) """ # Local imports from .. import fixer_base from ..fixer_util import Comma, Name, Call class FixExec(fixer_base.BaseFix): BM_compatible = True PATTERN = """ exec_stmt< 'exec' a=any 'in' b=any [',' c=any] > | exec_stmt< 'exec' (not atom<'(' [any] ')'>) a=any > """ def transform(self, node, results): assert results syms = self.syms a = results["a"] b = results.get("b") c = results.get("c") args = [a.clone()] args[0].prefix = "" if b is not None: args.extend([Comma(), b.clone()]) if c is not None: args.extend([Comma(), c.clone()]) return Call(Name("exec"), args, prefix=node.prefix) fix_execfile.py000066400000000000000000000040001514162565100343210ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes# Copyright 2006 Google, Inc. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. """Fixer for execfile. This converts usages of the execfile function into calls to the built-in exec() function. """ from .. import fixer_base from ..fixer_util import (Comma, Name, Call, LParen, RParen, Dot, Node, ArgList, String, syms) class FixExecfile(fixer_base.BaseFix): BM_compatible = True PATTERN = """ power< 'execfile' trailer< '(' arglist< filename=any [',' globals=any [',' locals=any ] ] > ')' > > | power< 'execfile' trailer< '(' filename=any ')' > > """ def transform(self, node, results): assert results filename = results["filename"] globals = results.get("globals") locals = results.get("locals") # Copy over the prefix from the right parentheses end of the execfile # call. execfile_paren = node.children[-1].children[-1].clone() # Construct open().read(). open_args = ArgList([filename.clone(), Comma(), String('"rb"', ' ')], rparen=execfile_paren) open_call = Node(syms.power, [Name("open"), open_args]) read = [Node(syms.trailer, [Dot(), Name('read')]), Node(syms.trailer, [LParen(), RParen()])] open_expr = [open_call] + read # Wrap the open call in a compile call. This is so the filename will be # preserved in the execed code. filename_arg = filename.clone() filename_arg.prefix = " " exec_str = String("'exec'", " ") compile_args = open_expr + [Comma(), filename_arg, Comma(), exec_str] compile_call = Call(Name("compile"), compile_args, "") # Finally, replace the execfile call with an exec call. args = [compile_call] if globals is not None: args.extend([Comma(), globals.clone()]) if locals is not None: args.extend([Comma(), locals.clone()]) return Call(Name("exec"), args, prefix=node.prefix) fix_exitfunc.py000066400000000000000000000046771514162565100344060ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes""" Convert use of sys.exitfunc to use the atexit module. """ # Author: Benjamin Peterson from lib2to3 import pytree, fixer_base from lib2to3.fixer_util import Name, Attr, Call, Comma, Newline, syms class FixExitfunc(fixer_base.BaseFix): keep_line_order = True BM_compatible = True PATTERN = """ ( sys_import=import_name<'import' ('sys' | dotted_as_names< (any ',')* 'sys' (',' any)* > ) > | expr_stmt< power< 'sys' trailer< '.' 'exitfunc' > > '=' func=any > ) """ def __init__(self, *args): super(FixExitfunc, self).__init__(*args) def start_tree(self, tree, filename): super(FixExitfunc, self).start_tree(tree, filename) self.sys_import = None def transform(self, node, results): # First, find the sys import. We'll just hope it's global scope. if "sys_import" in results: if self.sys_import is None: self.sys_import = results["sys_import"] return func = results["func"].clone() func.prefix = "" register = pytree.Node(syms.power, Attr(Name("atexit"), Name("register")) ) call = Call(register, [func], node.prefix) node.replace(call) if self.sys_import is None: # That's interesting. self.warning(node, "Can't find sys import; Please add an atexit " "import at the top of your file.") return # Now add an atexit import after the sys import. names = self.sys_import.children[1] if names.type == syms.dotted_as_names: names.append_child(Comma()) names.append_child(Name("atexit", " ")) else: containing_stmt = self.sys_import.parent position = containing_stmt.children.index(self.sys_import) stmt_container = containing_stmt.parent new_import = pytree.Node(syms.import_name, [Name("import"), Name("atexit", " ")] ) new = pytree.Node(syms.simple_stmt, [new_import]) containing_stmt.insert_child(position + 1, Newline()) containing_stmt.insert_child(position + 2, new) fix_filter.py000066400000000000000000000053151514162565100340340ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes# Copyright 2007 Google, Inc. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. """Fixer that changes filter(F, X) into list(filter(F, X)). We avoid the transformation if the filter() call is directly contained in iter(<>), list(<>), tuple(<>), sorted(<>), ...join(<>), or for V in <>:. NOTE: This is still not correct if the original code was depending on filter(F, X) to return a string if X is a string and a tuple if X is a tuple. That would require type inference, which we don't do. Let Python 2.6 figure it out. """ # Local imports from .. import fixer_base from ..pytree import Node from ..pygram import python_symbols as syms from ..fixer_util import Name, ArgList, ListComp, in_special_context, parenthesize class FixFilter(fixer_base.ConditionalFix): BM_compatible = True PATTERN = """ filter_lambda=power< 'filter' trailer< '(' arglist< lambdef< 'lambda' (fp=NAME | vfpdef< '(' fp=NAME ')'> ) ':' xp=any > ',' it=any > ')' > [extra_trailers=trailer*] > | power< 'filter' trailer< '(' arglist< none='None' ',' seq=any > ')' > [extra_trailers=trailer*] > | power< 'filter' args=trailer< '(' [any] ')' > [extra_trailers=trailer*] > """ skip_on = "future_builtins.filter" def transform(self, node, results): if self.should_skip(node): return trailers = [] if 'extra_trailers' in results: for t in results['extra_trailers']: trailers.append(t.clone()) if "filter_lambda" in results: xp = results.get("xp").clone() if xp.type == syms.test: xp.prefix = "" xp = parenthesize(xp) new = ListComp(results.get("fp").clone(), results.get("fp").clone(), results.get("it").clone(), xp) new = Node(syms.power, [new] + trailers, prefix="") elif "none" in results: new = ListComp(Name("_f"), Name("_f"), results["seq"].clone(), Name("_f")) new = Node(syms.power, [new] + trailers, prefix="") else: if in_special_context(node): return None args = results['args'].clone() new = Node(syms.power, [Name("filter"), args], prefix="") new = Node(syms.power, [Name("list"), ArgList([new])] + trailers) new.prefix = "" new.prefix = node.prefix return new fix_funcattrs.py000066400000000000000000000012041514162565100345510ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes"""Fix function attribute names (f.func_x -> f.__x__).""" # Author: Collin Winter # Local imports from .. import fixer_base from ..fixer_util import Name class FixFuncattrs(fixer_base.BaseFix): BM_compatible = True PATTERN = """ power< any+ trailer< '.' attr=('func_closure' | 'func_doc' | 'func_globals' | 'func_name' | 'func_defaults' | 'func_code' | 'func_dict') > any* > """ def transform(self, node, results): attr = results["attr"][0] attr.replace(Name(("__%s__" % attr.value[5:]), prefix=attr.prefix)) fix_future.py000066400000000000000000000010431514162565100340530ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes"""Remove __future__ imports from __future__ import foo is replaced with an empty line. """ # Author: Christian Heimes # Local imports from .. import fixer_base from ..fixer_util import BlankLine class FixFuture(fixer_base.BaseFix): BM_compatible = True PATTERN = """import_from< 'from' module_name="__future__" 'import' any >""" # This should be run last -- some things check for the import run_order = 10 def transform(self, node, results): new = BlankLine() new.prefix = node.prefix return new fix_getcwdu.py000066400000000000000000000007031514162565100342050ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes""" Fixer that changes os.getcwdu() to os.getcwd(). """ # Author: Victor Stinner # Local imports from .. import fixer_base from ..fixer_util import Name class FixGetcwdu(fixer_base.BaseFix): BM_compatible = True PATTERN = """ power< 'os' trailer< dot='.' name='getcwdu' > any* > """ def transform(self, node, results): name = results["name"] name.replace(Name("getcwd", prefix=name.prefix)) fix_has_key.py000066400000000000000000000061741514162565100341760ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes# Copyright 2006 Google, Inc. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. """Fixer for has_key(). Calls to .has_key() methods are expressed in terms of the 'in' operator: d.has_key(k) -> k in d CAVEATS: 1) While the primary target of this fixer is dict.has_key(), the fixer will change any has_key() method call, regardless of its class. 2) Cases like this will not be converted: m = d.has_key if m(k): ... Only *calls* to has_key() are converted. While it is possible to convert the above to something like m = d.__contains__ if m(k): ... this is currently not done. """ # Local imports from .. import pytree from .. import fixer_base from ..fixer_util import Name, parenthesize class FixHasKey(fixer_base.BaseFix): BM_compatible = True PATTERN = """ anchor=power< before=any+ trailer< '.' 'has_key' > trailer< '(' ( not(arglist | argument) arg=any ','> ) ')' > after=any* > | negation=not_test< 'not' anchor=power< before=any+ trailer< '.' 'has_key' > trailer< '(' ( not(arglist | argument) arg=any ','> ) ')' > > > """ def transform(self, node, results): assert results syms = self.syms if (node.parent.type == syms.not_test and self.pattern.match(node.parent)): # Don't transform a node matching the first alternative of the # pattern when its parent matches the second alternative return None negation = results.get("negation") anchor = results["anchor"] prefix = node.prefix before = [n.clone() for n in results["before"]] arg = results["arg"].clone() after = results.get("after") if after: after = [n.clone() for n in after] if arg.type in (syms.comparison, syms.not_test, syms.and_test, syms.or_test, syms.test, syms.lambdef, syms.argument): arg = parenthesize(arg) if len(before) == 1: before = before[0] else: before = pytree.Node(syms.power, before) before.prefix = " " n_op = Name("in", prefix=" ") if negation: n_not = Name("not", prefix=" ") n_op = pytree.Node(syms.comp_op, (n_not, n_op)) new = pytree.Node(syms.comparison, (arg, n_op, before)) if after: new = parenthesize(new) new = pytree.Node(syms.power, (new,) + tuple(after)) if node.parent.type in (syms.comparison, syms.expr, syms.xor_expr, syms.and_expr, syms.shift_expr, syms.arith_expr, syms.term, syms.factor, syms.power): new = parenthesize(new) new.prefix = prefix return new fix_idioms.py000066400000000000000000000114141514162565100340300ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes"""Adjust some old Python 2 idioms to their modern counterparts. * Change some type comparisons to isinstance() calls: type(x) == T -> isinstance(x, T) type(x) is T -> isinstance(x, T) type(x) != T -> not isinstance(x, T) type(x) is not T -> not isinstance(x, T) * Change "while 1:" into "while True:". * Change both v = list(EXPR) v.sort() foo(v) and the more general v = EXPR v.sort() foo(v) into v = sorted(EXPR) foo(v) """ # Author: Jacques Frechet, Collin Winter # Local imports from .. import fixer_base from ..fixer_util import Call, Comma, Name, Node, BlankLine, syms CMP = "(n='!=' | '==' | 'is' | n=comp_op< 'is' 'not' >)" TYPE = "power< 'type' trailer< '(' x=any ')' > >" class FixIdioms(fixer_base.BaseFix): explicit = True # The user must ask for this fixer PATTERN = r""" isinstance=comparison< %s %s T=any > | isinstance=comparison< T=any %s %s > | while_stmt< 'while' while='1' ':' any+ > | sorted=any< any* simple_stmt< expr_stmt< id1=any '=' power< list='list' trailer< '(' (not arglist) any ')' > > > '\n' > sort= simple_stmt< power< id2=any trailer< '.' 'sort' > trailer< '(' ')' > > '\n' > next=any* > | sorted=any< any* simple_stmt< expr_stmt< id1=any '=' expr=any > '\n' > sort= simple_stmt< power< id2=any trailer< '.' 'sort' > trailer< '(' ')' > > '\n' > next=any* > """ % (TYPE, CMP, CMP, TYPE) def match(self, node): r = super(FixIdioms, self).match(node) # If we've matched one of the sort/sorted subpatterns above, we # want to reject matches where the initial assignment and the # subsequent .sort() call involve different identifiers. if r and "sorted" in r: if r["id1"] == r["id2"]: return r return None return r def transform(self, node, results): if "isinstance" in results: return self.transform_isinstance(node, results) elif "while" in results: return self.transform_while(node, results) elif "sorted" in results: return self.transform_sort(node, results) else: raise RuntimeError("Invalid match") def transform_isinstance(self, node, results): x = results["x"].clone() # The thing inside of type() T = results["T"].clone() # The type being compared against x.prefix = "" T.prefix = " " test = Call(Name("isinstance"), [x, Comma(), T]) if "n" in results: test.prefix = " " test = Node(syms.not_test, [Name("not"), test]) test.prefix = node.prefix return test def transform_while(self, node, results): one = results["while"] one.replace(Name("True", prefix=one.prefix)) def transform_sort(self, node, results): sort_stmt = results["sort"] next_stmt = results["next"] list_call = results.get("list") simple_expr = results.get("expr") if list_call: list_call.replace(Name("sorted", prefix=list_call.prefix)) elif simple_expr: new = simple_expr.clone() new.prefix = "" simple_expr.replace(Call(Name("sorted"), [new], prefix=simple_expr.prefix)) else: raise RuntimeError("should not have reached here") sort_stmt.remove() btwn = sort_stmt.prefix # Keep any prefix lines between the sort_stmt and the list_call and # shove them right after the sorted() call. if "\n" in btwn: if next_stmt: # The new prefix should be everything from the sort_stmt's # prefix up to the last newline, then the old prefix after a new # line. prefix_lines = (btwn.rpartition("\n")[0], next_stmt[0].prefix) next_stmt[0].prefix = "\n".join(prefix_lines) else: assert list_call.parent assert list_call.next_sibling is None # Put a blank line after list_call and set its prefix. end_line = BlankLine() list_call.parent.append_child(end_line) assert list_call.next_sibling is end_line # The new prefix should be everything up to the first new line # of sort_stmt's prefix. end_line.prefix = btwn.rpartition("\n")[0] fix_import.py000066400000000000000000000062701514162565100340620ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes"""Fixer for import statements. If spam is being imported from the local directory, this import: from spam import eggs Becomes: from .spam import eggs And this import: import spam Becomes: from . import spam """ # Local imports from .. import fixer_base from os.path import dirname, join, exists, sep from ..fixer_util import FromImport, syms, token def traverse_imports(names): """ Walks over all the names imported in a dotted_as_names node. """ pending = [names] while pending: node = pending.pop() if node.type == token.NAME: yield node.value elif node.type == syms.dotted_name: yield "".join([ch.value for ch in node.children]) elif node.type == syms.dotted_as_name: pending.append(node.children[0]) elif node.type == syms.dotted_as_names: pending.extend(node.children[::-2]) else: raise AssertionError("unknown node type") class FixImport(fixer_base.BaseFix): BM_compatible = True PATTERN = """ import_from< 'from' imp=any 'import' ['('] any [')'] > | import_name< 'import' imp=any > """ def start_tree(self, tree, name): super(FixImport, self).start_tree(tree, name) self.skip = "absolute_import" in tree.future_features def transform(self, node, results): if self.skip: return imp = results['imp'] if node.type == syms.import_from: # Some imps are top-level (eg: 'import ham') # some are first level (eg: 'import ham.eggs') # some are third level (eg: 'import ham.eggs as spam') # Hence, the loop while not hasattr(imp, 'value'): imp = imp.children[0] if self.probably_a_local_import(imp.value): imp.value = "." + imp.value imp.changed() else: have_local = False have_absolute = False for mod_name in traverse_imports(imp): if self.probably_a_local_import(mod_name): have_local = True else: have_absolute = True if have_absolute: if have_local: # We won't handle both sibling and absolute imports in the # same statement at the moment. self.warning(node, "absolute and local imports together") return new = FromImport(".", [imp]) new.prefix = node.prefix return new def probably_a_local_import(self, imp_name): if imp_name.startswith("."): # Relative imports are certainly not local imports. return False imp_name = imp_name.split(".", 1)[0] base_path = dirname(self.filename) base_path = join(base_path, imp_name) # If there is no __init__.py next to the file its not in a package # so can't be a relative import. if not exists(join(dirname(base_path), "__init__.py")): return False for ext in [".py", sep, ".pyc", ".so", ".sl", ".pyd"]: if exists(base_path + ext): return True return False fix_imports.py000066400000000000000000000130641514162565100342440ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes"""Fix incompatible imports and module references.""" # Authors: Collin Winter, Nick Edds # Local imports from .. import fixer_base from ..fixer_util import Name, attr_chain MAPPING = {'StringIO': 'io', 'cStringIO': 'io', 'cPickle': 'pickle', '__builtin__' : 'builtins', 'copy_reg': 'copyreg', 'Queue': 'queue', 'SocketServer': 'socketserver', 'ConfigParser': 'configparser', 'repr': 'reprlib', 'FileDialog': 'tkinter.filedialog', 'tkFileDialog': 'tkinter.filedialog', 'SimpleDialog': 'tkinter.simpledialog', 'tkSimpleDialog': 'tkinter.simpledialog', 'tkColorChooser': 'tkinter.colorchooser', 'tkCommonDialog': 'tkinter.commondialog', 'Dialog': 'tkinter.dialog', 'Tkdnd': 'tkinter.dnd', 'tkFont': 'tkinter.font', 'tkMessageBox': 'tkinter.messagebox', 'ScrolledText': 'tkinter.scrolledtext', 'Tkconstants': 'tkinter.constants', 'Tix': 'tkinter.tix', 'ttk': 'tkinter.ttk', 'Tkinter': 'tkinter', 'markupbase': '_markupbase', '_winreg': 'winreg', 'thread': '_thread', 'dummy_thread': '_dummy_thread', # anydbm and whichdb are handled by fix_imports2 'dbhash': 'dbm.bsd', 'dumbdbm': 'dbm.dumb', 'dbm': 'dbm.ndbm', 'gdbm': 'dbm.gnu', 'xmlrpclib': 'xmlrpc.client', 'DocXMLRPCServer': 'xmlrpc.server', 'SimpleXMLRPCServer': 'xmlrpc.server', 'httplib': 'http.client', 'htmlentitydefs' : 'html.entities', 'HTMLParser' : 'html.parser', 'Cookie': 'http.cookies', 'cookielib': 'http.cookiejar', 'BaseHTTPServer': 'http.server', 'SimpleHTTPServer': 'http.server', 'CGIHTTPServer': 'http.server', #'test.test_support': 'test.support', 'commands': 'subprocess', 'UserString' : 'collections', 'UserList' : 'collections', 'urlparse' : 'urllib.parse', 'robotparser' : 'urllib.robotparser', } def alternates(members): return "(" + "|".join(map(repr, members)) + ")" def build_pattern(mapping=MAPPING): mod_list = ' | '.join(["module_name='%s'" % key for key in mapping]) bare_names = alternates(mapping.keys()) yield """name_import=import_name< 'import' ((%s) | multiple_imports=dotted_as_names< any* (%s) any* >) > """ % (mod_list, mod_list) yield """import_from< 'from' (%s) 'import' ['('] ( any | import_as_name< any 'as' any > | import_as_names< any* >) [')'] > """ % mod_list yield """import_name< 'import' (dotted_as_name< (%s) 'as' any > | multiple_imports=dotted_as_names< any* dotted_as_name< (%s) 'as' any > any* >) > """ % (mod_list, mod_list) # Find usages of module members in code e.g. thread.foo(bar) yield "power< bare_with_attr=(%s) trailer<'.' any > any* >" % bare_names class FixImports(fixer_base.BaseFix): BM_compatible = True keep_line_order = True # This is overridden in fix_imports2. mapping = MAPPING # We want to run this fixer late, so fix_import doesn't try to make stdlib # renames into relative imports. run_order = 6 def build_pattern(self): return "|".join(build_pattern(self.mapping)) def compile_pattern(self): # We override this, so MAPPING can be pragmatically altered and the # changes will be reflected in PATTERN. self.PATTERN = self.build_pattern() super(FixImports, self).compile_pattern() # Don't match the node if it's within another match. def match(self, node): match = super(FixImports, self).match results = match(node) if results: # Module usage could be in the trailer of an attribute lookup, so we # might have nested matches when "bare_with_attr" is present. if "bare_with_attr" not in results and \ any(match(obj) for obj in attr_chain(node, "parent")): return False return results return False def start_tree(self, tree, filename): super(FixImports, self).start_tree(tree, filename) self.replace = {} def transform(self, node, results): import_mod = results.get("module_name") if import_mod: mod_name = import_mod.value new_name = self.mapping[mod_name] import_mod.replace(Name(new_name, prefix=import_mod.prefix)) if "name_import" in results: # If it's not a "from x import x, y" or "import x as y" import, # marked its usage to be replaced. self.replace[mod_name] = new_name if "multiple_imports" in results: # This is a nasty hack to fix multiple imports on a line (e.g., # "import StringIO, urlparse"). The problem is that I can't # figure out an easy way to make a pattern recognize the keys of # MAPPING randomly sprinkled in an import statement. results = self.match(node) if results: self.transform(node, results) else: # Replace usage of the module. bare_name = results["bare_with_attr"][0] new_name = self.replace.get(bare_name.value) if new_name: bare_name.replace(Name(new_name, prefix=bare_name.prefix)) fix_imports2.py000066400000000000000000000004411514162565100343210ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes"""Fix incompatible imports and module references that must be fixed after fix_imports.""" from . import fix_imports MAPPING = { 'whichdb': 'dbm', 'anydbm': 'dbm', } class FixImports2(fix_imports.FixImports): run_order = 7 mapping = MAPPING fix_input.py000066400000000000000000000013041514162565100337000ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes"""Fixer that changes input(...) into eval(input(...)).""" # Author: Andre Roberge # Local imports from .. import fixer_base from ..fixer_util import Call, Name from .. import patcomp context = patcomp.compile_pattern("power< 'eval' trailer< '(' any ')' > >") class FixInput(fixer_base.BaseFix): BM_compatible = True PATTERN = """ power< 'input' args=trailer< '(' [any] ')' > > """ def transform(self, node, results): # If we're already wrapped in an eval() call, we're done. if context.match(node.parent.parent): return new = node.clone() new.prefix = "" return Call(Name("eval"), [new], prefix=node.prefix) fix_intern.py000066400000000000000000000021701514162565100340420ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes# Copyright 2006 Georg Brandl. # Licensed to PSF under a Contributor Agreement. """Fixer for intern(). intern(s) -> sys.intern(s)""" # Local imports from .. import fixer_base from ..fixer_util import ImportAndCall, touch_import class FixIntern(fixer_base.BaseFix): BM_compatible = True order = "pre" PATTERN = """ power< 'intern' trailer< lpar='(' ( not(arglist | argument) any ','> ) rpar=')' > after=any* > """ def transform(self, node, results): if results: # I feel like we should be able to express this logic in the # PATTERN above but I don't know how to do it so... obj = results['obj'] if obj: if (obj.type == self.syms.argument and obj.children[0].value in {'**', '*'}): return # Make no change. names = ('sys', 'intern') new = ImportAndCall(node, results, names) touch_import(None, 'sys', node) return new fix_isinstance.py000066400000000000000000000031101514162565100346760ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes# Copyright 2008 Armin Ronacher. # Licensed to PSF under a Contributor Agreement. """Fixer that cleans up a tuple argument to isinstance after the tokens in it were fixed. This is mainly used to remove double occurrences of tokens as a leftover of the long -> int / unicode -> str conversion. eg. isinstance(x, (int, long)) -> isinstance(x, (int, int)) -> isinstance(x, int) """ from .. import fixer_base from ..fixer_util import token class FixIsinstance(fixer_base.BaseFix): BM_compatible = True PATTERN = """ power< 'isinstance' trailer< '(' arglist< any ',' atom< '(' args=testlist_gexp< any+ > ')' > > ')' > > """ run_order = 6 def transform(self, node, results): names_inserted = set() testlist = results["args"] args = testlist.children new_args = [] iterator = enumerate(args) for idx, arg in iterator: if arg.type == token.NAME and arg.value in names_inserted: if idx < len(args) - 1 and args[idx + 1].type == token.COMMA: next(iterator) continue else: new_args.append(arg) if arg.type == token.NAME: names_inserted.add(arg.value) if new_args and new_args[-1].type == token.COMMA: del new_args[-1] if len(new_args) == 1: atom = testlist.parent new_args[0].prefix = atom.prefix atom.replace(new_args[0]) else: args[:] = new_args node.changed() fix_itertools.py000066400000000000000000000030141514162565100345650ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes""" Fixer for itertools.(imap|ifilter|izip) --> (map|filter|zip) and itertools.ifilterfalse --> itertools.filterfalse (bugs 2360-2363) imports from itertools are fixed in fix_itertools_import.py If itertools is imported as something else (ie: import itertools as it; it.izip(spam, eggs)) method calls will not get fixed. """ # Local imports from .. import fixer_base from ..fixer_util import Name class FixItertools(fixer_base.BaseFix): BM_compatible = True it_funcs = "('imap'|'ifilter'|'izip'|'izip_longest'|'ifilterfalse')" PATTERN = """ power< it='itertools' trailer< dot='.' func=%(it_funcs)s > trailer< '(' [any] ')' > > | power< func=%(it_funcs)s trailer< '(' [any] ')' > > """ %(locals()) # Needs to be run after fix_(map|zip|filter) run_order = 6 def transform(self, node, results): prefix = None func = results['func'][0] if ('it' in results and func.value not in ('ifilterfalse', 'izip_longest')): dot, it = (results['dot'], results['it']) # Remove the 'itertools' prefix = it.prefix it.remove() # Replace the node which contains ('.', 'function') with the # function (to be consistent with the second part of the pattern) dot.remove() func.parent.replace(func) prefix = prefix or func.prefix func.replace(Name(func.value[1:], prefix=prefix)) fix_itertools_imports.py000066400000000000000000000040461514162565100363500ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes""" Fixer for imports of itertools.(imap|ifilter|izip|ifilterfalse) """ # Local imports from lib2to3 import fixer_base from lib2to3.fixer_util import BlankLine, syms, token class FixItertoolsImports(fixer_base.BaseFix): BM_compatible = True PATTERN = """ import_from< 'from' 'itertools' 'import' imports=any > """ %(locals()) def transform(self, node, results): imports = results['imports'] if imports.type == syms.import_as_name or not imports.children: children = [imports] else: children = imports.children for child in children[::2]: if child.type == token.NAME: member = child.value name_node = child elif child.type == token.STAR: # Just leave the import as is. return else: assert child.type == syms.import_as_name name_node = child.children[0] member_name = name_node.value if member_name in ('imap', 'izip', 'ifilter'): child.value = None child.remove() elif member_name in ('ifilterfalse', 'izip_longest'): node.changed() name_node.value = ('filterfalse' if member_name[1] == 'f' else 'zip_longest') # Make sure the import statement is still sane children = imports.children[:] or [imports] remove_comma = True for child in children: if remove_comma and child.type == token.COMMA: child.remove() else: remove_comma ^= True while children and children[-1].type == token.COMMA: children.pop().remove() # If there are no imports left, just get rid of the entire statement if (not (imports.children or getattr(imports, 'value', None)) or imports.parent is None): p = node.prefix node = BlankLine() node.prefix = p return node fix_long.py000066400000000000000000000007341514162565100335060ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes# Copyright 2006 Google, Inc. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. """Fixer that turns 'long' into 'int' everywhere. """ # Local imports from lib2to3 import fixer_base from lib2to3.fixer_util import is_probably_builtin class FixLong(fixer_base.BaseFix): BM_compatible = True PATTERN = "'long'" def transform(self, node, results): if is_probably_builtin(node): node.value = "int" node.changed() pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes/fix_map.py000066400000000000000000000070701514162565100334030ustar00rootroot00000000000000# Copyright 2007 Google, Inc. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. """Fixer that changes map(F, ...) into list(map(F, ...)) unless there exists a 'from future_builtins import map' statement in the top-level namespace. As a special case, map(None, X) is changed into list(X). (This is necessary because the semantics are changed in this case -- the new map(None, X) is equivalent to [(x,) for x in X].) We avoid the transformation (except for the special case mentioned above) if the map() call is directly contained in iter(<>), list(<>), tuple(<>), sorted(<>), ...join(<>), or for V in <>:. NOTE: This is still not correct if the original code was depending on map(F, X, Y, ...) to go on until the longest argument is exhausted, substituting None for missing values -- like zip(), it now stops as soon as the shortest argument is exhausted. """ # Local imports from ..pgen2 import token from .. import fixer_base from ..fixer_util import Name, ArgList, Call, ListComp, in_special_context from ..pygram import python_symbols as syms from ..pytree import Node class FixMap(fixer_base.ConditionalFix): BM_compatible = True PATTERN = """ map_none=power< 'map' trailer< '(' arglist< 'None' ',' arg=any [','] > ')' > [extra_trailers=trailer*] > | map_lambda=power< 'map' trailer< '(' arglist< lambdef< 'lambda' (fp=NAME | vfpdef< '(' fp=NAME ')'> ) ':' xp=any > ',' it=any > ')' > [extra_trailers=trailer*] > | power< 'map' args=trailer< '(' [any] ')' > [extra_trailers=trailer*] > """ skip_on = 'future_builtins.map' def transform(self, node, results): if self.should_skip(node): return trailers = [] if 'extra_trailers' in results: for t in results['extra_trailers']: trailers.append(t.clone()) if node.parent.type == syms.simple_stmt: self.warning(node, "You should use a for loop here") new = node.clone() new.prefix = "" new = Call(Name("list"), [new]) elif "map_lambda" in results: new = ListComp(results["xp"].clone(), results["fp"].clone(), results["it"].clone()) new = Node(syms.power, [new] + trailers, prefix="") else: if "map_none" in results: new = results["arg"].clone() new.prefix = "" else: if "args" in results: args = results["args"] if args.type == syms.trailer and \ args.children[1].type == syms.arglist and \ args.children[1].children[0].type == token.NAME and \ args.children[1].children[0].value == "None": self.warning(node, "cannot convert map(None, ...) " "with multiple arguments because map() " "now truncates to the shortest sequence") return new = Node(syms.power, [Name("map"), args.clone()]) new.prefix = "" if in_special_context(node): return None new = Node(syms.power, [Name("list"), ArgList([new])] + trailers) new.prefix = "" new.prefix = node.prefix return new fix_metaclass.py000066400000000000000000000200051514162565100345140ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes"""Fixer for __metaclass__ = X -> (metaclass=X) methods. The various forms of classef (inherits nothing, inherits once, inherits many) don't parse the same in the CST so we look at ALL classes for a __metaclass__ and if we find one normalize the inherits to all be an arglist. For one-liner classes ('class X: pass') there is no indent/dedent so we normalize those into having a suite. Moving the __metaclass__ into the classdef can also cause the class body to be empty so there is some special casing for that as well. This fixer also tries very hard to keep original indenting and spacing in all those corner cases. """ # Author: Jack Diederich # Local imports from .. import fixer_base from ..pygram import token from ..fixer_util import syms, Node, Leaf def has_metaclass(parent): """ we have to check the cls_node without changing it. There are two possibilities: 1) clsdef => suite => simple_stmt => expr_stmt => Leaf('__meta') 2) clsdef => simple_stmt => expr_stmt => Leaf('__meta') """ for node in parent.children: if node.type == syms.suite: return has_metaclass(node) elif node.type == syms.simple_stmt and node.children: expr_node = node.children[0] if expr_node.type == syms.expr_stmt and expr_node.children: left_side = expr_node.children[0] if isinstance(left_side, Leaf) and \ left_side.value == '__metaclass__': return True return False def fixup_parse_tree(cls_node): """ one-line classes don't get a suite in the parse tree so we add one to normalize the tree """ for node in cls_node.children: if node.type == syms.suite: # already in the preferred format, do nothing return # !%@#! one-liners have no suite node, we have to fake one up for i, node in enumerate(cls_node.children): if node.type == token.COLON: break else: raise ValueError("No class suite and no ':'!") # move everything into a suite node suite = Node(syms.suite, []) while cls_node.children[i+1:]: move_node = cls_node.children[i+1] suite.append_child(move_node.clone()) move_node.remove() cls_node.append_child(suite) node = suite def fixup_simple_stmt(parent, i, stmt_node): """ if there is a semi-colon all the parts count as part of the same simple_stmt. We just want the __metaclass__ part so we move everything after the semi-colon into its own simple_stmt node """ for semi_ind, node in enumerate(stmt_node.children): if node.type == token.SEMI: # *sigh* break else: return node.remove() # kill the semicolon new_expr = Node(syms.expr_stmt, []) new_stmt = Node(syms.simple_stmt, [new_expr]) while stmt_node.children[semi_ind:]: move_node = stmt_node.children[semi_ind] new_expr.append_child(move_node.clone()) move_node.remove() parent.insert_child(i, new_stmt) new_leaf1 = new_stmt.children[0].children[0] old_leaf1 = stmt_node.children[0].children[0] new_leaf1.prefix = old_leaf1.prefix def remove_trailing_newline(node): if node.children and node.children[-1].type == token.NEWLINE: node.children[-1].remove() def find_metas(cls_node): # find the suite node (Mmm, sweet nodes) for node in cls_node.children: if node.type == syms.suite: break else: raise ValueError("No class suite!") # look for simple_stmt[ expr_stmt[ Leaf('__metaclass__') ] ] for i, simple_node in list(enumerate(node.children)): if simple_node.type == syms.simple_stmt and simple_node.children: expr_node = simple_node.children[0] if expr_node.type == syms.expr_stmt and expr_node.children: # Check if the expr_node is a simple assignment. left_node = expr_node.children[0] if isinstance(left_node, Leaf) and \ left_node.value == '__metaclass__': # We found an assignment to __metaclass__. fixup_simple_stmt(node, i, simple_node) remove_trailing_newline(simple_node) yield (node, i, simple_node) def fixup_indent(suite): """ If an INDENT is followed by a thing with a prefix then nuke the prefix Otherwise we get in trouble when removing __metaclass__ at suite start """ kids = suite.children[::-1] # find the first indent while kids: node = kids.pop() if node.type == token.INDENT: break # find the first Leaf while kids: node = kids.pop() if isinstance(node, Leaf) and node.type != token.DEDENT: if node.prefix: node.prefix = '' return else: kids.extend(node.children[::-1]) class FixMetaclass(fixer_base.BaseFix): BM_compatible = True PATTERN = """ classdef """ def transform(self, node, results): if not has_metaclass(node): return fixup_parse_tree(node) # find metaclasses, keep the last one last_metaclass = None for suite, i, stmt in find_metas(node): last_metaclass = stmt stmt.remove() text_type = node.children[0].type # always Leaf(nnn, 'class') # figure out what kind of classdef we have if len(node.children) == 7: # Node(classdef, ['class', 'name', '(', arglist, ')', ':', suite]) # 0 1 2 3 4 5 6 if node.children[3].type == syms.arglist: arglist = node.children[3] # Node(classdef, ['class', 'name', '(', 'Parent', ')', ':', suite]) else: parent = node.children[3].clone() arglist = Node(syms.arglist, [parent]) node.set_child(3, arglist) elif len(node.children) == 6: # Node(classdef, ['class', 'name', '(', ')', ':', suite]) # 0 1 2 3 4 5 arglist = Node(syms.arglist, []) node.insert_child(3, arglist) elif len(node.children) == 4: # Node(classdef, ['class', 'name', ':', suite]) # 0 1 2 3 arglist = Node(syms.arglist, []) node.insert_child(2, Leaf(token.RPAR, ')')) node.insert_child(2, arglist) node.insert_child(2, Leaf(token.LPAR, '(')) else: raise ValueError("Unexpected class definition") # now stick the metaclass in the arglist meta_txt = last_metaclass.children[0].children[0] meta_txt.value = 'metaclass' orig_meta_prefix = meta_txt.prefix if arglist.children: arglist.append_child(Leaf(token.COMMA, ',')) meta_txt.prefix = ' ' else: meta_txt.prefix = '' # compact the expression "metaclass = Meta" -> "metaclass=Meta" expr_stmt = last_metaclass.children[0] assert expr_stmt.type == syms.expr_stmt expr_stmt.children[1].prefix = '' expr_stmt.children[2].prefix = '' arglist.append_child(last_metaclass) fixup_indent(suite) # check for empty suite if not suite.children: # one-liner that was just __metaclass_ suite.remove() pass_leaf = Leaf(text_type, 'pass') pass_leaf.prefix = orig_meta_prefix node.append_child(pass_leaf) node.append_child(Leaf(token.NEWLINE, '\n')) elif len(suite.children) > 1 and \ (suite.children[-2].type == token.INDENT and suite.children[-1].type == token.DEDENT): # there was only one line in the class body and it was __metaclass__ pass_leaf = Leaf(text_type, 'pass') suite.insert_child(-1, pass_leaf) suite.insert_child(-1, Leaf(token.NEWLINE, '\n')) fix_methodattrs.py000066400000000000000000000011361514162565100351020ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes"""Fix bound method attributes (method.im_? -> method.__?__). """ # Author: Christian Heimes # Local imports from .. import fixer_base from ..fixer_util import Name MAP = { "im_func" : "__func__", "im_self" : "__self__", "im_class" : "__self__.__class__" } class FixMethodattrs(fixer_base.BaseFix): BM_compatible = True PATTERN = """ power< any+ trailer< '.' attr=('im_func' | 'im_self' | 'im_class') > any* > """ def transform(self, node, results): attr = results["attr"][0] new = MAP[attr.value] attr.replace(Name(new, prefix=attr.prefix)) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes/fix_ne.py000066400000000000000000000010731514162565100332250ustar00rootroot00000000000000# Copyright 2006 Google, Inc. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. """Fixer that turns <> into !=.""" # Local imports from .. import pytree from ..pgen2 import token from .. import fixer_base class FixNe(fixer_base.BaseFix): # This is so simple that we don't need the pattern compiler. _accept_type = token.NOTEQUAL def match(self, node): # Override return node.value == "<>" def transform(self, node, results): new = pytree.Leaf(token.NOTEQUAL, "!=", prefix=node.prefix) return new fix_next.py000066400000000000000000000061461514162565100335300ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes"""Fixer for it.next() -> next(it), per PEP 3114.""" # Author: Collin Winter # Things that currently aren't covered: # - listcomp "next" names aren't warned # - "with" statement targets aren't checked # Local imports from ..pgen2 import token from ..pygram import python_symbols as syms from .. import fixer_base from ..fixer_util import Name, Call, find_binding bind_warning = "Calls to builtin next() possibly shadowed by global binding" class FixNext(fixer_base.BaseFix): BM_compatible = True PATTERN = """ power< base=any+ trailer< '.' attr='next' > trailer< '(' ')' > > | power< head=any+ trailer< '.' attr='next' > not trailer< '(' ')' > > | classdef< 'class' any+ ':' suite< any* funcdef< 'def' name='next' parameters< '(' NAME ')' > any+ > any* > > | global=global_stmt< 'global' any* 'next' any* > """ order = "pre" # Pre-order tree traversal def start_tree(self, tree, filename): super(FixNext, self).start_tree(tree, filename) n = find_binding('next', tree) if n: self.warning(n, bind_warning) self.shadowed_next = True else: self.shadowed_next = False def transform(self, node, results): assert results base = results.get("base") attr = results.get("attr") name = results.get("name") if base: if self.shadowed_next: attr.replace(Name("__next__", prefix=attr.prefix)) else: base = [n.clone() for n in base] base[0].prefix = "" node.replace(Call(Name("next", prefix=node.prefix), base)) elif name: n = Name("__next__", prefix=name.prefix) name.replace(n) elif attr: # We don't do this transformation if we're assigning to "x.next". # Unfortunately, it doesn't seem possible to do this in PATTERN, # so it's being done here. if is_assign_target(node): head = results["head"] if "".join([str(n) for n in head]).strip() == '__builtin__': self.warning(node, bind_warning) return attr.replace(Name("__next__")) elif "global" in results: self.warning(node, bind_warning) self.shadowed_next = True ### The following functions help test if node is part of an assignment ### target. def is_assign_target(node): assign = find_assign(node) if assign is None: return False for child in assign.children: if child.type == token.EQUAL: return False elif is_subtree(child, node): return True return False def find_assign(node): if node.type == syms.expr_stmt: return node if node.type == syms.simple_stmt or node.parent is None: return None return find_assign(node.parent) def is_subtree(root, node): if root == node: return True return any(is_subtree(c, node) for c in root.children) fix_nonzero.py000066400000000000000000000011171514162565100342350ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes"""Fixer for __nonzero__ -> __bool__ methods.""" # Author: Collin Winter # Local imports from .. import fixer_base from ..fixer_util import Name class FixNonzero(fixer_base.BaseFix): BM_compatible = True PATTERN = """ classdef< 'class' any+ ':' suite< any* funcdef< 'def' name='__nonzero__' parameters< '(' NAME ')' > any+ > any* > > """ def transform(self, node, results): name = results["name"] new = Name("__bool__", prefix=name.prefix) name.replace(new) fix_numliterals.py000066400000000000000000000014001514162565100350750ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes"""Fixer that turns 1L into 1, 0755 into 0o755. """ # Copyright 2007 Georg Brandl. # Licensed to PSF under a Contributor Agreement. # Local imports from ..pgen2 import token from .. import fixer_base from ..fixer_util import Number class FixNumliterals(fixer_base.BaseFix): # This is so simple that we don't need the pattern compiler. _accept_type = token.NUMBER def match(self, node): # Override return (node.value.startswith("0") or node.value[-1] in "Ll") def transform(self, node, results): val = node.value if val[-1] in 'Ll': val = val[:-1] elif val.startswith('0') and val.isdigit() and len(set(val)) > 1: val = "0o" + val[1:] return Number(val, prefix=node.prefix) fix_operator.py000066400000000000000000000065421514162565100344050ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes"""Fixer for operator functions. operator.isCallable(obj) -> callable(obj) operator.sequenceIncludes(obj) -> operator.contains(obj) operator.isSequenceType(obj) -> isinstance(obj, collections.abc.Sequence) operator.isMappingType(obj) -> isinstance(obj, collections.abc.Mapping) operator.isNumberType(obj) -> isinstance(obj, numbers.Number) operator.repeat(obj, n) -> operator.mul(obj, n) operator.irepeat(obj, n) -> operator.imul(obj, n) """ import collections.abc # Local imports from lib2to3 import fixer_base from lib2to3.fixer_util import Call, Name, String, touch_import def invocation(s): def dec(f): f.invocation = s return f return dec class FixOperator(fixer_base.BaseFix): BM_compatible = True order = "pre" methods = """ method=('isCallable'|'sequenceIncludes' |'isSequenceType'|'isMappingType'|'isNumberType' |'repeat'|'irepeat') """ obj = "'(' obj=any ')'" PATTERN = """ power< module='operator' trailer< '.' %(methods)s > trailer< %(obj)s > > | power< %(methods)s trailer< %(obj)s > > """ % dict(methods=methods, obj=obj) def transform(self, node, results): method = self._check_method(node, results) if method is not None: return method(node, results) @invocation("operator.contains(%s)") def _sequenceIncludes(self, node, results): return self._handle_rename(node, results, "contains") @invocation("callable(%s)") def _isCallable(self, node, results): obj = results["obj"] return Call(Name("callable"), [obj.clone()], prefix=node.prefix) @invocation("operator.mul(%s)") def _repeat(self, node, results): return self._handle_rename(node, results, "mul") @invocation("operator.imul(%s)") def _irepeat(self, node, results): return self._handle_rename(node, results, "imul") @invocation("isinstance(%s, collections.abc.Sequence)") def _isSequenceType(self, node, results): return self._handle_type2abc(node, results, "collections.abc", "Sequence") @invocation("isinstance(%s, collections.abc.Mapping)") def _isMappingType(self, node, results): return self._handle_type2abc(node, results, "collections.abc", "Mapping") @invocation("isinstance(%s, numbers.Number)") def _isNumberType(self, node, results): return self._handle_type2abc(node, results, "numbers", "Number") def _handle_rename(self, node, results, name): method = results["method"][0] method.value = name method.changed() def _handle_type2abc(self, node, results, module, abc): touch_import(None, module, node) obj = results["obj"] args = [obj.clone(), String(", " + ".".join([module, abc]))] return Call(Name("isinstance"), args, prefix=node.prefix) def _check_method(self, node, results): method = getattr(self, "_" + results["method"][0].value) if isinstance(method, collections.abc.Callable): if "module" in results: return method else: sub = (str(results["obj"]),) invocation_str = method.invocation % sub self.warning(node, "You should use '%s' here." % invocation_str) return None fix_paren.py000066400000000000000000000023121514162565100336460ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes"""Fixer that adds parentheses where they are required This converts ``[x for x in 1, 2]`` to ``[x for x in (1, 2)]``.""" # By Taek Joo Kim and Benjamin Peterson # Local imports from .. import fixer_base from ..fixer_util import LParen, RParen # XXX This doesn't support nested for loops like [x for x in 1, 2 for x in 1, 2] class FixParen(fixer_base.BaseFix): BM_compatible = True PATTERN = """ atom< ('[' | '(') (listmaker< any comp_for< 'for' NAME 'in' target=testlist_safe< any (',' any)+ [','] > [any] > > | testlist_gexp< any comp_for< 'for' NAME 'in' target=testlist_safe< any (',' any)+ [','] > [any] > >) (']' | ')') > """ def transform(self, node, results): target = results["target"] lparen = LParen() lparen.prefix = target.prefix target.prefix = "" # Make it hug the parentheses target.insert_child(0, lparen) target.append_child(RParen()) fix_print.py000066400000000000000000000054341514162565100337050ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes# Copyright 2006 Google, Inc. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. """Fixer for print. Change: 'print' into 'print()' 'print ...' into 'print(...)' 'print ... ,' into 'print(..., end=" ")' 'print >>x, ...' into 'print(..., file=x)' No changes are applied if print_function is imported from __future__ """ # Local imports from .. import patcomp from .. import pytree from ..pgen2 import token from .. import fixer_base from ..fixer_util import Name, Call, Comma, String parend_expr = patcomp.compile_pattern( """atom< '(' [atom|STRING|NAME] ')' >""" ) class FixPrint(fixer_base.BaseFix): BM_compatible = True PATTERN = """ simple_stmt< any* bare='print' any* > | print_stmt """ def transform(self, node, results): assert results bare_print = results.get("bare") if bare_print: # Special-case print all by itself bare_print.replace(Call(Name("print"), [], prefix=bare_print.prefix)) return assert node.children[0] == Name("print") args = node.children[1:] if len(args) == 1 and parend_expr.match(args[0]): # We don't want to keep sticking parens around an # already-parenthesised expression. return sep = end = file = None if args and args[-1] == Comma(): args = args[:-1] end = " " if args and args[0] == pytree.Leaf(token.RIGHTSHIFT, ">>"): assert len(args) >= 2 file = args[1].clone() args = args[3:] # Strip a possible comma after the file expression # Now synthesize a print(args, sep=..., end=..., file=...) node. l_args = [arg.clone() for arg in args] if l_args: l_args[0].prefix = "" if sep is not None or end is not None or file is not None: if sep is not None: self.add_kwarg(l_args, "sep", String(repr(sep))) if end is not None: self.add_kwarg(l_args, "end", String(repr(end))) if file is not None: self.add_kwarg(l_args, "file", file) n_stmt = Call(Name("print"), l_args) n_stmt.prefix = node.prefix return n_stmt def add_kwarg(self, l_nodes, s_kwd, n_expr): # XXX All this prefix-setting may lose comments (though rarely) n_expr.prefix = "" n_argument = pytree.Node(self.syms.argument, (Name(s_kwd), pytree.Leaf(token.EQUAL, "="), n_expr)) if l_nodes: l_nodes.append(Comma()) n_argument.prefix = " " l_nodes.append(n_argument) fix_raise.py000066400000000000000000000055561514162565100336610ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes"""Fixer for 'raise E, V, T' raise -> raise raise E -> raise E raise E, V -> raise E(V) raise E, V, T -> raise E(V).with_traceback(T) raise E, None, T -> raise E.with_traceback(T) raise (((E, E'), E''), E'''), V -> raise E(V) raise "foo", V, T -> warns about string exceptions CAVEATS: 1) "raise E, V" will be incorrectly translated if V is an exception instance. The correct Python 3 idiom is raise E from V but since we can't detect instance-hood by syntax alone and since any client code would have to be changed as well, we don't automate this. """ # Author: Collin Winter # Local imports from .. import pytree from ..pgen2 import token from .. import fixer_base from ..fixer_util import Name, Call, Attr, ArgList, is_tuple class FixRaise(fixer_base.BaseFix): BM_compatible = True PATTERN = """ raise_stmt< 'raise' exc=any [',' val=any [',' tb=any]] > """ def transform(self, node, results): syms = self.syms exc = results["exc"].clone() if exc.type == token.STRING: msg = "Python 3 does not support string exceptions" self.cannot_convert(node, msg) return # Python 2 supports # raise ((((E1, E2), E3), E4), E5), V # as a synonym for # raise E1, V # Since Python 3 will not support this, we recurse down any tuple # literals, always taking the first element. if is_tuple(exc): while is_tuple(exc): # exc.children[1:-1] is the unparenthesized tuple # exc.children[1].children[0] is the first element of the tuple exc = exc.children[1].children[0].clone() exc.prefix = " " if "val" not in results: # One-argument raise new = pytree.Node(syms.raise_stmt, [Name("raise"), exc]) new.prefix = node.prefix return new val = results["val"].clone() if is_tuple(val): args = [c.clone() for c in val.children[1:-1]] else: val.prefix = "" args = [val] if "tb" in results: tb = results["tb"].clone() tb.prefix = "" e = exc # If there's a traceback and None is passed as the value, then don't # add a call, since the user probably just wants to add a # traceback. See issue #9661. if val.type != token.NAME or val.value != "None": e = Call(exc, args) with_tb = Attr(e, Name('with_traceback')) + [ArgList([tb])] new = pytree.Node(syms.simple_stmt, [Name("raise")] + with_tb) new.prefix = node.prefix return new else: return pytree.Node(syms.raise_stmt, [Name("raise"), Call(exc, args)], prefix=node.prefix) fix_raw_input.py000066400000000000000000000007061514162565100345560ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes"""Fixer that changes raw_input(...) into input(...).""" # Author: Andre Roberge # Local imports from .. import fixer_base from ..fixer_util import Name class FixRawInput(fixer_base.BaseFix): BM_compatible = True PATTERN = """ power< name='raw_input' trailer< '(' [any] ')' > any* > """ def transform(self, node, results): name = results["name"] name.replace(Name("input", prefix=name.prefix)) fix_reduce.py000066400000000000000000000015051514162565100340130ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes# Copyright 2008 Armin Ronacher. # Licensed to PSF under a Contributor Agreement. """Fixer for reduce(). Makes sure reduce() is imported from the functools module if reduce is used in that module. """ from lib2to3 import fixer_base from lib2to3.fixer_util import touch_import class FixReduce(fixer_base.BaseFix): BM_compatible = True order = "pre" PATTERN = """ power< 'reduce' trailer< '(' arglist< ( (not(argument) any ',' not(argument > """ def transform(self, node, results): touch_import('functools', 'reduce', node) fix_reload.py000066400000000000000000000020711514162565100340110ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes"""Fixer for reload(). reload(s) -> importlib.reload(s)""" # Local imports from .. import fixer_base from ..fixer_util import ImportAndCall, touch_import class FixReload(fixer_base.BaseFix): BM_compatible = True order = "pre" PATTERN = """ power< 'reload' trailer< lpar='(' ( not(arglist | argument) any ','> ) rpar=')' > after=any* > """ def transform(self, node, results): if results: # I feel like we should be able to express this logic in the # PATTERN above but I don't know how to do it so... obj = results['obj'] if obj: if (obj.type == self.syms.argument and obj.children[0].value in {'**', '*'}): return # Make no change. names = ('importlib', 'reload') new = ImportAndCall(node, results, names) touch_import(None, 'importlib', node) return new fix_renames.py000066400000000000000000000042551514162565100342030ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes"""Fix incompatible renames Fixes: * sys.maxint -> sys.maxsize """ # Author: Christian Heimes # based on Collin Winter's fix_import # Local imports from .. import fixer_base from ..fixer_util import Name, attr_chain MAPPING = {"sys": {"maxint" : "maxsize"}, } LOOKUP = {} def alternates(members): return "(" + "|".join(map(repr, members)) + ")" def build_pattern(): #bare = set() for module, replace in list(MAPPING.items()): for old_attr, new_attr in list(replace.items()): LOOKUP[(module, old_attr)] = new_attr #bare.add(module) #bare.add(old_attr) #yield """ # import_name< 'import' (module=%r # | dotted_as_names< any* module=%r any* >) > # """ % (module, module) yield """ import_from< 'from' module_name=%r 'import' ( attr_name=%r | import_as_name< attr_name=%r 'as' any >) > """ % (module, old_attr, old_attr) yield """ power< module_name=%r trailer< '.' attr_name=%r > any* > """ % (module, old_attr) #yield """bare_name=%s""" % alternates(bare) class FixRenames(fixer_base.BaseFix): BM_compatible = True PATTERN = "|".join(build_pattern()) order = "pre" # Pre-order tree traversal # Don't match the node if it's within another match def match(self, node): match = super(FixRenames, self).match results = match(node) if results: if any(match(obj) for obj in attr_chain(node, "parent")): return False return results return False #def start_tree(self, tree, filename): # super(FixRenames, self).start_tree(tree, filename) # self.replace = {} def transform(self, node, results): mod_name = results.get("module_name") attr_name = results.get("attr_name") #bare_name = results.get("bare_name") #import_mod = results.get("module") if mod_name and attr_name: new_attr = LOOKUP[(mod_name.value, attr_name.value)] attr_name.replace(Name(new_attr, prefix=attr_name.prefix)) fix_repr.py000066400000000000000000000011451514162565100335140ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes# Copyright 2006 Google, Inc. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. """Fixer that transforms `xyzzy` into repr(xyzzy).""" # Local imports from .. import fixer_base from ..fixer_util import Call, Name, parenthesize class FixRepr(fixer_base.BaseFix): BM_compatible = True PATTERN = """ atom < '`' expr=any '`' > """ def transform(self, node, results): expr = results["expr"].clone() if expr.type == self.syms.testlist1: expr = parenthesize(expr) return Call(Name("repr"), [expr], prefix=node.prefix) fix_set_literal.py000066400000000000000000000032411514162565100350520ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes""" Optional fixer to transform set() calls to set literals. """ # Author: Benjamin Peterson from lib2to3 import fixer_base, pytree from lib2to3.fixer_util import token, syms class FixSetLiteral(fixer_base.BaseFix): BM_compatible = True explicit = True PATTERN = """power< 'set' trailer< '(' (atom=atom< '[' (items=listmaker< any ((',' any)* [',']) > | single=any) ']' > | atom< '(' items=testlist_gexp< any ((',' any)* [',']) > ')' > ) ')' > > """ def transform(self, node, results): single = results.get("single") if single: # Make a fake listmaker fake = pytree.Node(syms.listmaker, [single.clone()]) single.replace(fake) items = fake else: items = results["items"] # Build the contents of the literal literal = [pytree.Leaf(token.LBRACE, "{")] literal.extend(n.clone() for n in items.children) literal.append(pytree.Leaf(token.RBRACE, "}")) # Set the prefix of the right brace to that of the ')' or ']' literal[-1].prefix = items.next_sibling.prefix maker = pytree.Node(syms.dictsetmaker, literal) maker.prefix = node.prefix # If the original was a one tuple, we need to remove the extra comma. if len(maker.children) == 4: n = maker.children[2] n.remove() maker.children[-1].prefix = n.prefix # Finally, replace the set call with our shiny new literal. return maker fix_standarderror.py000066400000000000000000000007011514162565100354130ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes# Copyright 2007 Google, Inc. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. """Fixer for StandardError -> Exception.""" # Local imports from .. import fixer_base from ..fixer_util import Name class FixStandarderror(fixer_base.BaseFix): BM_compatible = True PATTERN = """ 'StandardError' """ def transform(self, node, results): return Name("Exception", prefix=node.prefix) fix_sys_exc.py000066400000000000000000000020121514162565100342130ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes"""Fixer for sys.exc_{type, value, traceback} sys.exc_type -> sys.exc_info()[0] sys.exc_value -> sys.exc_info()[1] sys.exc_traceback -> sys.exc_info()[2] """ # By Jeff Balogh and Benjamin Peterson # Local imports from .. import fixer_base from ..fixer_util import Attr, Call, Name, Number, Subscript, Node, syms class FixSysExc(fixer_base.BaseFix): # This order matches the ordering of sys.exc_info(). exc_info = ["exc_type", "exc_value", "exc_traceback"] BM_compatible = True PATTERN = """ power< 'sys' trailer< dot='.' attribute=(%s) > > """ % '|'.join("'%s'" % e for e in exc_info) def transform(self, node, results): sys_attr = results["attribute"][0] index = Number(self.exc_info.index(sys_attr.value)) call = Call(Name("exc_info"), prefix=sys_attr.prefix) attr = Attr(Name("sys"), call) attr[1].children[0].prefix = results["dot"].prefix attr.append(Subscript(index)) return Node(syms.power, attr, prefix=node.prefix) fix_throw.py000066400000000000000000000030561514162565100337120ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes"""Fixer for generator.throw(E, V, T). g.throw(E) -> g.throw(E) g.throw(E, V) -> g.throw(E(V)) g.throw(E, V, T) -> g.throw(E(V).with_traceback(T)) g.throw("foo"[, V[, T]]) will warn about string exceptions.""" # Author: Collin Winter # Local imports from .. import pytree from ..pgen2 import token from .. import fixer_base from ..fixer_util import Name, Call, ArgList, Attr, is_tuple class FixThrow(fixer_base.BaseFix): BM_compatible = True PATTERN = """ power< any trailer< '.' 'throw' > trailer< '(' args=arglist< exc=any ',' val=any [',' tb=any] > ')' > > | power< any trailer< '.' 'throw' > trailer< '(' exc=any ')' > > """ def transform(self, node, results): syms = self.syms exc = results["exc"].clone() if exc.type is token.STRING: self.cannot_convert(node, "Python 3 does not support string exceptions") return # Leave "g.throw(E)" alone val = results.get("val") if val is None: return val = val.clone() if is_tuple(val): args = [c.clone() for c in val.children[1:-1]] else: val.prefix = "" args = [val] throw_args = results["args"] if "tb" in results: tb = results["tb"].clone() tb.prefix = "" e = Call(exc, args) with_tb = Attr(e, Name('with_traceback')) + [ArgList([tb])] throw_args.replace(pytree.Node(syms.power, with_tb)) else: throw_args.replace(Call(exc, args)) fix_tuple_params.py000066400000000000000000000126751514162565100352520ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes"""Fixer for function definitions with tuple parameters. def func(((a, b), c), d): ... -> def func(x, d): ((a, b), c) = x ... It will also support lambdas: lambda (x, y): x + y -> lambda t: t[0] + t[1] # The parens are a syntax error in Python 3 lambda (x): x + y -> lambda x: x + y """ # Author: Collin Winter # Local imports from .. import pytree from ..pgen2 import token from .. import fixer_base from ..fixer_util import Assign, Name, Newline, Number, Subscript, syms def is_docstring(stmt): return isinstance(stmt, pytree.Node) and \ stmt.children[0].type == token.STRING class FixTupleParams(fixer_base.BaseFix): run_order = 4 #use a lower order since lambda is part of other #patterns BM_compatible = True PATTERN = """ funcdef< 'def' any parameters< '(' args=any ')' > ['->' any] ':' suite=any+ > | lambda= lambdef< 'lambda' args=vfpdef< '(' inner=any ')' > ':' body=any > """ def transform(self, node, results): if "lambda" in results: return self.transform_lambda(node, results) new_lines = [] suite = results["suite"] args = results["args"] # This crap is so "def foo(...): x = 5; y = 7" is handled correctly. # TODO(cwinter): suite-cleanup if suite[0].children[1].type == token.INDENT: start = 2 indent = suite[0].children[1].value end = Newline() else: start = 0 indent = "; " end = pytree.Leaf(token.INDENT, "") # We need access to self for new_name(), and making this a method # doesn't feel right. Closing over self and new_lines makes the # code below cleaner. def handle_tuple(tuple_arg, add_prefix=False): n = Name(self.new_name()) arg = tuple_arg.clone() arg.prefix = "" stmt = Assign(arg, n.clone()) if add_prefix: n.prefix = " " tuple_arg.replace(n) new_lines.append(pytree.Node(syms.simple_stmt, [stmt, end.clone()])) if args.type == syms.tfpdef: handle_tuple(args) elif args.type == syms.typedargslist: for i, arg in enumerate(args.children): if arg.type == syms.tfpdef: # Without add_prefix, the emitted code is correct, # just ugly. handle_tuple(arg, add_prefix=(i > 0)) if not new_lines: return # This isn't strictly necessary, but it plays nicely with other fixers. # TODO(cwinter) get rid of this when children becomes a smart list for line in new_lines: line.parent = suite[0] # TODO(cwinter) suite-cleanup after = start if start == 0: new_lines[0].prefix = " " elif is_docstring(suite[0].children[start]): new_lines[0].prefix = indent after = start + 1 for line in new_lines: line.parent = suite[0] suite[0].children[after:after] = new_lines for i in range(after+1, after+len(new_lines)+1): suite[0].children[i].prefix = indent suite[0].changed() def transform_lambda(self, node, results): args = results["args"] body = results["body"] inner = simplify_args(results["inner"]) # Replace lambda ((((x)))): x with lambda x: x if inner.type == token.NAME: inner = inner.clone() inner.prefix = " " args.replace(inner) return params = find_params(args) to_index = map_to_index(params) tup_name = self.new_name(tuple_name(params)) new_param = Name(tup_name, prefix=" ") args.replace(new_param.clone()) for n in body.post_order(): if n.type == token.NAME and n.value in to_index: subscripts = [c.clone() for c in to_index[n.value]] new = pytree.Node(syms.power, [new_param.clone()] + subscripts) new.prefix = n.prefix n.replace(new) ### Helper functions for transform_lambda() def simplify_args(node): if node.type in (syms.vfplist, token.NAME): return node elif node.type == syms.vfpdef: # These look like vfpdef< '(' x ')' > where x is NAME # or another vfpdef instance (leading to recursion). while node.type == syms.vfpdef: node = node.children[1] return node raise RuntimeError("Received unexpected node %s" % node) def find_params(node): if node.type == syms.vfpdef: return find_params(node.children[1]) elif node.type == token.NAME: return node.value return [find_params(c) for c in node.children if c.type != token.COMMA] def map_to_index(param_list, prefix=[], d=None): if d is None: d = {} for i, obj in enumerate(param_list): trailer = [Subscript(Number(str(i)))] if isinstance(obj, list): map_to_index(obj, trailer, d=d) else: d[obj] = prefix + trailer return d def tuple_name(param_list): l = [] for obj in param_list: if isinstance(obj, list): l.append(tuple_name(obj)) else: l.append(obj) return "_".join(l) fix_types.py000066400000000000000000000033561514162565100337160ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes# Copyright 2007 Google, Inc. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. """Fixer for removing uses of the types module. These work for only the known names in the types module. The forms above can include types. or not. ie, It is assumed the module is imported either as: import types from types import ... # either * or specific types The import statements are not modified. There should be another fixer that handles at least the following constants: type([]) -> list type(()) -> tuple type('') -> str """ # Local imports from .. import fixer_base from ..fixer_util import Name _TYPE_MAPPING = { 'BooleanType' : 'bool', 'BufferType' : 'memoryview', 'ClassType' : 'type', 'ComplexType' : 'complex', 'DictType': 'dict', 'DictionaryType' : 'dict', 'EllipsisType' : 'type(Ellipsis)', #'FileType' : 'io.IOBase', 'FloatType': 'float', 'IntType': 'int', 'ListType': 'list', 'LongType': 'int', 'ObjectType' : 'object', 'NoneType': 'type(None)', 'NotImplementedType' : 'type(NotImplemented)', 'SliceType' : 'slice', 'StringType': 'bytes', # XXX ? 'StringTypes' : '(str,)', # XXX ? 'TupleType': 'tuple', 'TypeType' : 'type', 'UnicodeType': 'str', 'XRangeType' : 'range', } _pats = ["power< 'types' trailer< '.' name='%s' > >" % t for t in _TYPE_MAPPING] class FixTypes(fixer_base.BaseFix): BM_compatible = True PATTERN = '|'.join(_pats) def transform(self, node, results): new_value = _TYPE_MAPPING.get(results["name"].value) if new_value: return Name(new_value, prefix=node.prefix) return None fix_unicode.py000066400000000000000000000023501514162565100341710ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixesr"""Fixer for unicode. * Changes unicode to str and unichr to chr. * If "...\u..." is not unicode literal change it into "...\\u...". * Change u"..." into "...". """ from ..pgen2 import token from .. import fixer_base _mapping = {"unichr" : "chr", "unicode" : "str"} class FixUnicode(fixer_base.BaseFix): BM_compatible = True PATTERN = "STRING | 'unicode' | 'unichr'" def start_tree(self, tree, filename): super(FixUnicode, self).start_tree(tree, filename) self.unicode_literals = 'unicode_literals' in tree.future_features def transform(self, node, results): if node.type == token.NAME: new = node.clone() new.value = _mapping[node.value] return new elif node.type == token.STRING: val = node.value if not self.unicode_literals and val[0] in '\'"' and '\\' in val: val = r'\\'.join([ v.replace('\\u', r'\\u').replace('\\U', r'\\U') for v in val.split(r'\\') ]) if val[0] in 'uU': val = val[1:] if val == node.value: return node new = node.clone() new.value = val return new fix_urllib.py000066400000000000000000000202571514162565100340420ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes"""Fix changes imports of urllib which are now incompatible. This is rather similar to fix_imports, but because of the more complex nature of the fixing for urllib, it has its own fixer. """ # Author: Nick Edds # Local imports from lib2to3.fixes.fix_imports import alternates, FixImports from lib2to3.fixer_util import (Name, Comma, FromImport, Newline, find_indentation, Node, syms) MAPPING = {"urllib": [ ("urllib.request", ["URLopener", "FancyURLopener", "urlretrieve", "_urlopener", "urlopen", "urlcleanup", "pathname2url", "url2pathname", "getproxies"]), ("urllib.parse", ["quote", "quote_plus", "unquote", "unquote_plus", "urlencode", "splitattr", "splithost", "splitnport", "splitpasswd", "splitport", "splitquery", "splittag", "splittype", "splituser", "splitvalue", ]), ("urllib.error", ["ContentTooShortError"])], "urllib2" : [ ("urllib.request", ["urlopen", "install_opener", "build_opener", "Request", "OpenerDirector", "BaseHandler", "HTTPDefaultErrorHandler", "HTTPRedirectHandler", "HTTPCookieProcessor", "ProxyHandler", "HTTPPasswordMgr", "HTTPPasswordMgrWithDefaultRealm", "AbstractBasicAuthHandler", "HTTPBasicAuthHandler", "ProxyBasicAuthHandler", "AbstractDigestAuthHandler", "HTTPDigestAuthHandler", "ProxyDigestAuthHandler", "HTTPHandler", "HTTPSHandler", "FileHandler", "FTPHandler", "CacheFTPHandler", "UnknownHandler"]), ("urllib.error", ["URLError", "HTTPError"]), ] } # Duplicate the url parsing functions for urllib2. MAPPING["urllib2"].append(MAPPING["urllib"][1]) def build_pattern(): bare = set() for old_module, changes in MAPPING.items(): for change in changes: new_module, members = change members = alternates(members) yield """import_name< 'import' (module=%r | dotted_as_names< any* module=%r any* >) > """ % (old_module, old_module) yield """import_from< 'from' mod_member=%r 'import' ( member=%s | import_as_name< member=%s 'as' any > | import_as_names< members=any* >) > """ % (old_module, members, members) yield """import_from< 'from' module_star=%r 'import' star='*' > """ % old_module yield """import_name< 'import' dotted_as_name< module_as=%r 'as' any > > """ % old_module # bare_with_attr has a special significance for FixImports.match(). yield """power< bare_with_attr=%r trailer< '.' member=%s > any* > """ % (old_module, members) class FixUrllib(FixImports): def build_pattern(self): return "|".join(build_pattern()) def transform_import(self, node, results): """Transform for the basic import case. Replaces the old import name with a comma separated list of its replacements. """ import_mod = results.get("module") pref = import_mod.prefix names = [] # create a Node list of the replacement modules for name in MAPPING[import_mod.value][:-1]: names.extend([Name(name[0], prefix=pref), Comma()]) names.append(Name(MAPPING[import_mod.value][-1][0], prefix=pref)) import_mod.replace(names) def transform_member(self, node, results): """Transform for imports of specific module elements. Replaces the module to be imported from with the appropriate new module. """ mod_member = results.get("mod_member") pref = mod_member.prefix member = results.get("member") # Simple case with only a single member being imported if member: # this may be a list of length one, or just a node if isinstance(member, list): member = member[0] new_name = None for change in MAPPING[mod_member.value]: if member.value in change[1]: new_name = change[0] break if new_name: mod_member.replace(Name(new_name, prefix=pref)) else: self.cannot_convert(node, "This is an invalid module element") # Multiple members being imported else: # a dictionary for replacements, order matters modules = [] mod_dict = {} members = results["members"] for member in members: # we only care about the actual members if member.type == syms.import_as_name: as_name = member.children[2].value member_name = member.children[0].value else: member_name = member.value as_name = None if member_name != ",": for change in MAPPING[mod_member.value]: if member_name in change[1]: if change[0] not in mod_dict: modules.append(change[0]) mod_dict.setdefault(change[0], []).append(member) new_nodes = [] indentation = find_indentation(node) first = True def handle_name(name, prefix): if name.type == syms.import_as_name: kids = [Name(name.children[0].value, prefix=prefix), name.children[1].clone(), name.children[2].clone()] return [Node(syms.import_as_name, kids)] return [Name(name.value, prefix=prefix)] for module in modules: elts = mod_dict[module] names = [] for elt in elts[:-1]: names.extend(handle_name(elt, pref)) names.append(Comma()) names.extend(handle_name(elts[-1], pref)) new = FromImport(module, names) if not first or node.parent.prefix.endswith(indentation): new.prefix = indentation new_nodes.append(new) first = False if new_nodes: nodes = [] for new_node in new_nodes[:-1]: nodes.extend([new_node, Newline()]) nodes.append(new_nodes[-1]) node.replace(nodes) else: self.cannot_convert(node, "All module elements are invalid") def transform_dot(self, node, results): """Transform for calls to module members in code.""" module_dot = results.get("bare_with_attr") member = results.get("member") new_name = None if isinstance(member, list): member = member[0] for change in MAPPING[module_dot.value]: if member.value in change[1]: new_name = change[0] break if new_name: module_dot.replace(Name(new_name, prefix=module_dot.prefix)) else: self.cannot_convert(node, "This is an invalid module element") def transform(self, node, results): if results.get("module"): self.transform_import(node, results) elif results.get("mod_member"): self.transform_member(node, results) elif results.get("bare_with_attr"): self.transform_dot(node, results) # Renaming and star imports are not supported for these modules. elif results.get("module_star"): self.cannot_convert(node, "Cannot handle star imports.") elif results.get("module_as"): self.cannot_convert(node, "This module is now multiple modules") fix_ws_comma.py000066400000000000000000000021021514162565100343430ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes"""Fixer that changes 'a ,b' into 'a, b'. This also changes '{a :b}' into '{a: b}', but does not touch other uses of colons. It does not touch other uses of whitespace. """ from .. import pytree from ..pgen2 import token from .. import fixer_base class FixWsComma(fixer_base.BaseFix): explicit = True # The user must ask for this fixers PATTERN = """ any<(not(',') any)+ ',' ((not(',') any)+ ',')* [not(',') any]> """ COMMA = pytree.Leaf(token.COMMA, ",") COLON = pytree.Leaf(token.COLON, ":") SEPS = (COMMA, COLON) def transform(self, node, results): new = node.clone() comma = False for child in new.children: if child in self.SEPS: prefix = child.prefix if prefix.isspace() and "\n" not in prefix: child.prefix = "" comma = True else: if comma: prefix = child.prefix if not prefix: child.prefix = " " comma = False return new fix_xrange.py000066400000000000000000000052061514162565100340320ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes# Copyright 2007 Google, Inc. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. """Fixer that changes xrange(...) into range(...).""" # Local imports from .. import fixer_base from ..fixer_util import Name, Call, consuming_calls from .. import patcomp class FixXrange(fixer_base.BaseFix): BM_compatible = True PATTERN = """ power< (name='range'|name='xrange') trailer< '(' args=any ')' > rest=any* > """ def start_tree(self, tree, filename): super(FixXrange, self).start_tree(tree, filename) self.transformed_xranges = set() def finish_tree(self, tree, filename): self.transformed_xranges = None def transform(self, node, results): name = results["name"] if name.value == "xrange": return self.transform_xrange(node, results) elif name.value == "range": return self.transform_range(node, results) else: raise ValueError(repr(name)) def transform_xrange(self, node, results): name = results["name"] name.replace(Name("range", prefix=name.prefix)) # This prevents the new range call from being wrapped in a list later. self.transformed_xranges.add(id(node)) def transform_range(self, node, results): if (id(node) not in self.transformed_xranges and not self.in_special_context(node)): range_call = Call(Name("range"), [results["args"].clone()]) # Encase the range call in list(). list_call = Call(Name("list"), [range_call], prefix=node.prefix) # Put things that were after the range() call after the list call. for n in results["rest"]: list_call.append_child(n) return list_call P1 = "power< func=NAME trailer< '(' node=any ')' > any* >" p1 = patcomp.compile_pattern(P1) P2 = """for_stmt< 'for' any 'in' node=any ':' any* > | comp_for< 'for' any 'in' node=any any* > | comparison< any 'in' node=any any*> """ p2 = patcomp.compile_pattern(P2) def in_special_context(self, node): if node.parent is None: return False results = {} if (node.parent.parent is not None and self.p1.match(node.parent.parent, results) and results["node"] is node): # list(d.keys()) -> list(d.keys()), etc. return results["func"].value in consuming_calls # for ... in d.iterkeys() -> for ... in d.keys(), etc. return self.p2.match(node.parent, results) and results["node"] is node fix_xreadlines.py000066400000000000000000000012611514162565100347010ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes"""Fix "for x in f.xreadlines()" -> "for x in f". This fixer will also convert g(f.xreadlines) into g(f.__iter__).""" # Author: Collin Winter # Local imports from .. import fixer_base from ..fixer_util import Name class FixXreadlines(fixer_base.BaseFix): BM_compatible = True PATTERN = """ power< call=any+ trailer< '.' 'xreadlines' > trailer< '(' ')' > > | power< any+ trailer< '.' no_call='xreadlines' > > """ def transform(self, node, results): no_call = results.get("no_call") if no_call: no_call.replace(Name("__iter__", prefix=no_call.prefix)) else: node.replace([x.clone() for x in results["call"]]) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/fixes/fix_zip.py000066400000000000000000000024111514162565100334220ustar00rootroot00000000000000""" Fixer that changes zip(seq0, seq1, ...) into list(zip(seq0, seq1, ...) unless there exists a 'from future_builtins import zip' statement in the top-level namespace. We avoid the transformation if the zip() call is directly contained in iter(<>), list(<>), tuple(<>), sorted(<>), ...join(<>), or for V in <>:. """ # Local imports from .. import fixer_base from ..pytree import Node from ..pygram import python_symbols as syms from ..fixer_util import Name, ArgList, in_special_context class FixZip(fixer_base.ConditionalFix): BM_compatible = True PATTERN = """ power< 'zip' args=trailer< '(' [any] ')' > [trailers=trailer*] > """ skip_on = "future_builtins.zip" def transform(self, node, results): if self.should_skip(node): return if in_special_context(node): return None args = results['args'].clone() args.prefix = "" trailers = [] if 'trailers' in results: trailers = [n.clone() for n in results['trailers']] for n in trailers: n.prefix = "" new = Node(syms.power, [Name("zip"), args], prefix="") new = Node(syms.power, [Name("list"), ArgList([new])] + trailers) new.prefix = node.prefix return new pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/main.py000066400000000000000000000271161514162565100315710ustar00rootroot00000000000000""" Main program for 2to3. """ from __future__ import with_statement, print_function import sys import os import difflib import logging import shutil import optparse from . import refactor def diff_texts(a, b, filename): """Return a unified diff of two strings.""" a = a.splitlines() b = b.splitlines() return difflib.unified_diff(a, b, filename, filename, "(original)", "(refactored)", lineterm="") class StdoutRefactoringTool(refactor.MultiprocessRefactoringTool): """ A refactoring tool that can avoid overwriting its input files. Prints output to stdout. Output files can optionally be written to a different directory and or have an extra file suffix appended to their name for use in situations where you do not want to replace the input files. """ def __init__(self, fixers, options, explicit, nobackups, show_diffs, input_base_dir='', output_dir='', append_suffix=''): """ Args: fixers: A list of fixers to import. options: A dict with RefactoringTool configuration. explicit: A list of fixers to run even if they are explicit. nobackups: If true no backup '.bak' files will be created for those files that are being refactored. show_diffs: Should diffs of the refactoring be printed to stdout? input_base_dir: The base directory for all input files. This class will strip this path prefix off of filenames before substituting it with output_dir. Only meaningful if output_dir is supplied. All files processed by refactor() must start with this path. output_dir: If supplied, all converted files will be written into this directory tree instead of input_base_dir. append_suffix: If supplied, all files output by this tool will have this appended to their filename. Useful for changing .py to .py3 for example by passing append_suffix='3'. """ self.nobackups = nobackups self.show_diffs = show_diffs if input_base_dir and not input_base_dir.endswith(os.sep): input_base_dir += os.sep self._input_base_dir = input_base_dir self._output_dir = output_dir self._append_suffix = append_suffix super(StdoutRefactoringTool, self).__init__(fixers, options, explicit) def log_error(self, msg, *args, **kwargs): self.errors.append((msg, args, kwargs)) self.logger.error(msg, *args, **kwargs) def write_file(self, new_text, filename, old_text, encoding): orig_filename = filename if self._output_dir: if filename.startswith(self._input_base_dir): filename = os.path.join(self._output_dir, filename[len(self._input_base_dir):]) else: raise ValueError('filename %s does not start with the ' 'input_base_dir %s' % ( filename, self._input_base_dir)) if self._append_suffix: filename += self._append_suffix if orig_filename != filename: output_dir = os.path.dirname(filename) if not os.path.isdir(output_dir) and output_dir: os.makedirs(output_dir) self.log_message('Writing converted %s to %s.', orig_filename, filename) if not self.nobackups: # Make backup backup = filename + ".bak" if os.path.lexists(backup): try: os.remove(backup) except OSError: self.log_message("Can't remove backup %s", backup) try: os.rename(filename, backup) except OSError: self.log_message("Can't rename %s to %s", filename, backup) # Actually write the new file write = super(StdoutRefactoringTool, self).write_file write(new_text, filename, old_text, encoding) if not self.nobackups: shutil.copymode(backup, filename) if orig_filename != filename: # Preserve the file mode in the new output directory. shutil.copymode(orig_filename, filename) def print_output(self, old, new, filename, equal): if equal: self.log_message("No changes to %s", filename) else: self.log_message("Refactored %s", filename) if self.show_diffs: diff_lines = diff_texts(old, new, filename) try: if self.output_lock is not None: with self.output_lock: for line in diff_lines: print(line) sys.stdout.flush() else: for line in diff_lines: print(line) except UnicodeEncodeError: warn("couldn't encode %s's diff for your terminal" % (filename,)) return def warn(msg): print("WARNING: %s" % (msg,), file=sys.stderr) def main(fixer_pkg, args=None): """Main program. Args: fixer_pkg: the name of a package where the fixers are located. args: optional; a list of command line arguments. If omitted, sys.argv[1:] is used. Returns a suggested exit status (0, 1, 2). """ # Set up option parser parser = optparse.OptionParser(usage="2to3 [options] file|dir ...") parser.add_option("-d", "--doctests_only", action="store_true", help="Fix up doctests only") parser.add_option("-f", "--fix", action="append", default=[], help="Each FIX specifies a transformation; default: all") parser.add_option("-j", "--processes", action="store", default=1, type="int", help="Run 2to3 concurrently") parser.add_option("-x", "--nofix", action="append", default=[], help="Prevent a transformation from being run") parser.add_option("-l", "--list-fixes", action="store_true", help="List available transformations") parser.add_option("-p", "--print-function", action="store_true", help="Modify the grammar so that print() is a function") parser.add_option("-e", "--exec-function", action="store_true", help="Modify the grammar so that exec() is a function") parser.add_option("-v", "--verbose", action="store_true", help="More verbose logging") parser.add_option("--no-diffs", action="store_true", help="Don't show diffs of the refactoring") parser.add_option("-w", "--write", action="store_true", help="Write back modified files") parser.add_option("-n", "--nobackups", action="store_true", default=False, help="Don't write backups for modified files") parser.add_option("-o", "--output-dir", action="store", type="str", default="", help="Put output files in this directory " "instead of overwriting the input files. Requires -n.") parser.add_option("-W", "--write-unchanged-files", action="store_true", help="Also write files even if no changes were required" " (useful with --output-dir); implies -w.") parser.add_option("--add-suffix", action="store", type="str", default="", help="Append this string to all output filenames." " Requires -n if non-empty. " "ex: --add-suffix='3' will generate .py3 files.") # Parse command line arguments refactor_stdin = False flags = {} options, args = parser.parse_args(args) if options.write_unchanged_files: flags["write_unchanged_files"] = True if not options.write: warn("--write-unchanged-files/-W implies -w.") options.write = True # If we allowed these, the original files would be renamed to backup names # but not replaced. if options.output_dir and not options.nobackups: parser.error("Can't use --output-dir/-o without -n.") if options.add_suffix and not options.nobackups: parser.error("Can't use --add-suffix without -n.") if not options.write and options.no_diffs: warn("not writing files and not printing diffs; that's not very useful") if not options.write and options.nobackups: parser.error("Can't use -n without -w") if options.list_fixes: print("Available transformations for the -f/--fix option:") for fixname in refactor.get_all_fix_names(fixer_pkg): print(fixname) if not args: return 0 if not args: print("At least one file or directory argument required.", file=sys.stderr) print("Use --help to show usage.", file=sys.stderr) return 2 if "-" in args: refactor_stdin = True if options.write: print("Can't write to stdin.", file=sys.stderr) return 2 if options.print_function: flags["print_function"] = True if options.exec_function: flags["exec_function"] = True # Set up logging handler level = logging.DEBUG if options.verbose else logging.INFO logging.basicConfig(format='%(name)s: %(message)s', level=level) logger = logging.getLogger('lib2to3.main') # Initialize the refactoring tool avail_fixes = set(refactor.get_fixers_from_package(fixer_pkg)) unwanted_fixes = set(fixer_pkg + ".fix_" + fix for fix in options.nofix) explicit = set() if options.fix: all_present = False for fix in options.fix: if fix == "all": all_present = True else: explicit.add(fixer_pkg + ".fix_" + fix) requested = avail_fixes.union(explicit) if all_present else explicit else: requested = avail_fixes.union(explicit) fixer_names = requested.difference(unwanted_fixes) input_base_dir = os.path.commonprefix(args) if (input_base_dir and not input_base_dir.endswith(os.sep) and not os.path.isdir(input_base_dir)): # One or more similar names were passed, their directory is the base. # os.path.commonprefix() is ignorant of path elements, this corrects # for that weird API. input_base_dir = os.path.dirname(input_base_dir) if options.output_dir: input_base_dir = input_base_dir.rstrip(os.sep) logger.info('Output in %r will mirror the input directory %r layout.', options.output_dir, input_base_dir) rt = StdoutRefactoringTool( sorted(fixer_names), flags, sorted(explicit), options.nobackups, not options.no_diffs, input_base_dir=input_base_dir, output_dir=options.output_dir, append_suffix=options.add_suffix) # Refactor all files and directories passed as arguments if not rt.errors: if refactor_stdin: rt.refactor_stdin() else: try: rt.refactor(args, options.write, options.doctests_only, options.processes) except refactor.MultiprocessingUnsupported: assert options.processes > 1 print("Sorry, -j isn't supported on this platform.", file=sys.stderr) return 1 rt.summarize() # Return error status (0 if rt.errors is zero) return int(bool(rt.errors)) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/patcomp.py000066400000000000000000000156161514162565100323120ustar00rootroot00000000000000# Copyright 2006 Google, Inc. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. """Pattern compiler. The grammar is taken from PatternGrammar.txt. The compiler compiles a pattern to a pytree.*Pattern instance. """ __author__ = "Guido van Rossum " # Python imports import io # Fairly local imports from .pgen2 import driver, literals, token, tokenize, parse, grammar # Really local imports from . import pytree from . import pygram class PatternSyntaxError(Exception): pass def tokenize_wrapper(input): """Tokenizes a string suppressing significant whitespace.""" skip = {token.NEWLINE, token.INDENT, token.DEDENT} tokens = tokenize.generate_tokens(io.StringIO(input).readline) for quintuple in tokens: type, value, start, end, line_text = quintuple if type not in skip: yield quintuple class PatternCompiler(object): def __init__(self, grammar_file=None): """Initializer. Takes an optional alternative filename for the pattern grammar. """ if grammar_file is None: self.grammar = pygram.pattern_grammar self.syms = pygram.pattern_symbols else: self.grammar = driver.load_grammar(grammar_file) self.syms = pygram.Symbols(self.grammar) self.pygrammar = pygram.python_grammar self.pysyms = pygram.python_symbols self.driver = driver.Driver(self.grammar, convert=pattern_convert) def compile_pattern(self, input, debug=False, with_tree=False): """Compiles a pattern string to a nested pytree.*Pattern object.""" tokens = tokenize_wrapper(input) try: root = self.driver.parse_tokens(tokens, debug=debug) except parse.ParseError as e: raise PatternSyntaxError(str(e)) from None if with_tree: return self.compile_node(root), root else: return self.compile_node(root) def compile_node(self, node): """Compiles a node, recursively. This is one big switch on the node type. """ # XXX Optimize certain Wildcard-containing-Wildcard patterns # that can be merged if node.type == self.syms.Matcher: node = node.children[0] # Avoid unneeded recursion if node.type == self.syms.Alternatives: # Skip the odd children since they are just '|' tokens alts = [self.compile_node(ch) for ch in node.children[::2]] if len(alts) == 1: return alts[0] p = pytree.WildcardPattern([[a] for a in alts], min=1, max=1) return p.optimize() if node.type == self.syms.Alternative: units = [self.compile_node(ch) for ch in node.children] if len(units) == 1: return units[0] p = pytree.WildcardPattern([units], min=1, max=1) return p.optimize() if node.type == self.syms.NegatedUnit: pattern = self.compile_basic(node.children[1:]) p = pytree.NegatedPattern(pattern) return p.optimize() assert node.type == self.syms.Unit name = None nodes = node.children if len(nodes) >= 3 and nodes[1].type == token.EQUAL: name = nodes[0].value nodes = nodes[2:] repeat = None if len(nodes) >= 2 and nodes[-1].type == self.syms.Repeater: repeat = nodes[-1] nodes = nodes[:-1] # Now we've reduced it to: STRING | NAME [Details] | (...) | [...] pattern = self.compile_basic(nodes, repeat) if repeat is not None: assert repeat.type == self.syms.Repeater children = repeat.children child = children[0] if child.type == token.STAR: min = 0 max = pytree.HUGE elif child.type == token.PLUS: min = 1 max = pytree.HUGE elif child.type == token.LBRACE: assert children[-1].type == token.RBRACE assert len(children) in (3, 5) min = max = self.get_int(children[1]) if len(children) == 5: max = self.get_int(children[3]) else: assert False if min != 1 or max != 1: pattern = pattern.optimize() pattern = pytree.WildcardPattern([[pattern]], min=min, max=max) if name is not None: pattern.name = name return pattern.optimize() def compile_basic(self, nodes, repeat=None): # Compile STRING | NAME [Details] | (...) | [...] assert len(nodes) >= 1 node = nodes[0] if node.type == token.STRING: value = str(literals.evalString(node.value)) return pytree.LeafPattern(_type_of_literal(value), value) elif node.type == token.NAME: value = node.value if value.isupper(): if value not in TOKEN_MAP: raise PatternSyntaxError("Invalid token: %r" % value) if nodes[1:]: raise PatternSyntaxError("Can't have details for token") return pytree.LeafPattern(TOKEN_MAP[value]) else: if value == "any": type = None elif not value.startswith("_"): type = getattr(self.pysyms, value, None) if type is None: raise PatternSyntaxError("Invalid symbol: %r" % value) if nodes[1:]: # Details present content = [self.compile_node(nodes[1].children[1])] else: content = None return pytree.NodePattern(type, content) elif node.value == "(": return self.compile_node(nodes[1]) elif node.value == "[": assert repeat is None subpattern = self.compile_node(nodes[1]) return pytree.WildcardPattern([[subpattern]], min=0, max=1) assert False, node def get_int(self, node): assert node.type == token.NUMBER return int(node.value) # Map named tokens to the type value for a LeafPattern TOKEN_MAP = {"NAME": token.NAME, "STRING": token.STRING, "NUMBER": token.NUMBER, "TOKEN": None} def _type_of_literal(value): if value[0].isalpha(): return token.NAME elif value in grammar.opmap: return grammar.opmap[value] else: return None def pattern_convert(grammar, raw_node_info): """Converts raw node information to a Node or Leaf instance.""" type, value, context, children = raw_node_info if children or type in grammar.number2symbol: return pytree.Node(type, children, context=context) else: return pytree.Leaf(type, value, context=context) def compile_pattern(pattern): return PatternCompiler().compile_pattern(pattern) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/pgen2/000077500000000000000000000000001514162565100312775ustar00rootroot00000000000000__init__.py000066400000000000000000000002171514162565100333310ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/pgen2# Copyright 2004-2005 Elemental Security, Inc. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. """The pgen2 package.""" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/pgen2/conv.py000066400000000000000000000226521514162565100326250ustar00rootroot00000000000000# Copyright 2004-2005 Elemental Security, Inc. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. """Convert graminit.[ch] spit out by pgen to Python code. Pgen is the Python parser generator. It is useful to quickly create a parser from a grammar file in Python's grammar notation. But I don't want my parsers to be written in C (yet), so I'm translating the parsing tables to Python data structures and writing a Python parse engine. Note that the token numbers are constants determined by the standard Python tokenizer. The standard token module defines these numbers and their names (the names are not used much). The token numbers are hardcoded into the Python tokenizer and into pgen. A Python implementation of the Python tokenizer is also available, in the standard tokenize module. On the other hand, symbol numbers (representing the grammar's non-terminals) are assigned by pgen based on the actual grammar input. Note: this module is pretty much obsolete; the pgen module generates equivalent grammar tables directly from the Grammar.txt input file without having to invoke the Python pgen C program. """ # Python imports import re # Local imports from pgen2 import grammar, token class Converter(grammar.Grammar): """Grammar subclass that reads classic pgen output files. The run() method reads the tables as produced by the pgen parser generator, typically contained in two C files, graminit.h and graminit.c. The other methods are for internal use only. See the base class for more documentation. """ def run(self, graminit_h, graminit_c): """Load the grammar tables from the text files written by pgen.""" self.parse_graminit_h(graminit_h) self.parse_graminit_c(graminit_c) self.finish_off() def parse_graminit_h(self, filename): """Parse the .h file written by pgen. (Internal) This file is a sequence of #define statements defining the nonterminals of the grammar as numbers. We build two tables mapping the numbers to names and back. """ try: f = open(filename) except OSError as err: print("Can't open %s: %s" % (filename, err)) return False self.symbol2number = {} self.number2symbol = {} lineno = 0 for line in f: lineno += 1 mo = re.match(r"^#define\s+(\w+)\s+(\d+)$", line) if not mo and line.strip(): print("%s(%s): can't parse %s" % (filename, lineno, line.strip())) else: symbol, number = mo.groups() number = int(number) assert symbol not in self.symbol2number assert number not in self.number2symbol self.symbol2number[symbol] = number self.number2symbol[number] = symbol return True def parse_graminit_c(self, filename): """Parse the .c file written by pgen. (Internal) The file looks as follows. The first two lines are always this: #include "pgenheaders.h" #include "grammar.h" After that come four blocks: 1) one or more state definitions 2) a table defining dfas 3) a table defining labels 4) a struct defining the grammar A state definition has the following form: - one or more arc arrays, each of the form: static arc arcs__[] = { {, }, ... }; - followed by a state array, of the form: static state states_[] = { {, arcs__}, ... }; """ try: f = open(filename) except OSError as err: print("Can't open %s: %s" % (filename, err)) return False # The code below essentially uses f's iterator-ness! lineno = 0 # Expect the two #include lines lineno, line = lineno+1, next(f) assert line == '#include "pgenheaders.h"\n', (lineno, line) lineno, line = lineno+1, next(f) assert line == '#include "grammar.h"\n', (lineno, line) # Parse the state definitions lineno, line = lineno+1, next(f) allarcs = {} states = [] while line.startswith("static arc "): while line.startswith("static arc "): mo = re.match(r"static arc arcs_(\d+)_(\d+)\[(\d+)\] = {$", line) assert mo, (lineno, line) n, m, k = list(map(int, mo.groups())) arcs = [] for _ in range(k): lineno, line = lineno+1, next(f) mo = re.match(r"\s+{(\d+), (\d+)},$", line) assert mo, (lineno, line) i, j = list(map(int, mo.groups())) arcs.append((i, j)) lineno, line = lineno+1, next(f) assert line == "};\n", (lineno, line) allarcs[(n, m)] = arcs lineno, line = lineno+1, next(f) mo = re.match(r"static state states_(\d+)\[(\d+)\] = {$", line) assert mo, (lineno, line) s, t = list(map(int, mo.groups())) assert s == len(states), (lineno, line) state = [] for _ in range(t): lineno, line = lineno+1, next(f) mo = re.match(r"\s+{(\d+), arcs_(\d+)_(\d+)},$", line) assert mo, (lineno, line) k, n, m = list(map(int, mo.groups())) arcs = allarcs[n, m] assert k == len(arcs), (lineno, line) state.append(arcs) states.append(state) lineno, line = lineno+1, next(f) assert line == "};\n", (lineno, line) lineno, line = lineno+1, next(f) self.states = states # Parse the dfas dfas = {} mo = re.match(r"static dfa dfas\[(\d+)\] = {$", line) assert mo, (lineno, line) ndfas = int(mo.group(1)) for i in range(ndfas): lineno, line = lineno+1, next(f) mo = re.match(r'\s+{(\d+), "(\w+)", (\d+), (\d+), states_(\d+),$', line) assert mo, (lineno, line) symbol = mo.group(2) number, x, y, z = list(map(int, mo.group(1, 3, 4, 5))) assert self.symbol2number[symbol] == number, (lineno, line) assert self.number2symbol[number] == symbol, (lineno, line) assert x == 0, (lineno, line) state = states[z] assert y == len(state), (lineno, line) lineno, line = lineno+1, next(f) mo = re.match(r'\s+("(?:\\\d\d\d)*")},$', line) assert mo, (lineno, line) first = {} rawbitset = eval(mo.group(1)) for i, c in enumerate(rawbitset): byte = ord(c) for j in range(8): if byte & (1<= os.path.getmtime(b) def load_packaged_grammar(package, grammar_source): """Normally, loads a pickled grammar by doing pkgutil.get_data(package, pickled_grammar) where *pickled_grammar* is computed from *grammar_source* by adding the Python version and using a ``.pickle`` extension. However, if *grammar_source* is an extant file, load_grammar(grammar_source) is called instead. This facilitates using a packaged grammar file when needed but preserves load_grammar's automatic regeneration behavior when possible. """ if os.path.isfile(grammar_source): return load_grammar(grammar_source) pickled_name = _generate_pickle_name(os.path.basename(grammar_source)) data = pkgutil.get_data(package, pickled_name) g = grammar.Grammar() g.loads(data) return g def main(*args): """Main program, when run as a script: produce grammar pickle files. Calls load_grammar for each argument, a path to a grammar text file. """ if not args: args = sys.argv[1:] logging.basicConfig(level=logging.INFO, stream=sys.stdout, format='%(message)s') for gt in args: load_grammar(gt, save=True, force=True) return True if __name__ == "__main__": sys.exit(int(not main())) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/pgen2/grammar.py000066400000000000000000000126601514162565100333040ustar00rootroot00000000000000# Copyright 2004-2005 Elemental Security, Inc. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. """This module defines the data structures used to represent a grammar. These are a bit arcane because they are derived from the data structures used by Python's 'pgen' parser generator. There's also a table here mapping operators to their names in the token module; the Python tokenize module reports all operators as the fallback token code OP, but the parser needs the actual token code. """ # Python imports import pickle # Local imports from . import token class Grammar(object): """Pgen parsing tables conversion class. Once initialized, this class supplies the grammar tables for the parsing engine implemented by parse.py. The parsing engine accesses the instance variables directly. The class here does not provide initialization of the tables; several subclasses exist to do this (see the conv and pgen modules). The load() method reads the tables from a pickle file, which is much faster than the other ways offered by subclasses. The pickle file is written by calling dump() (after loading the grammar tables using a subclass). The report() method prints a readable representation of the tables to stdout, for debugging. The instance variables are as follows: symbol2number -- a dict mapping symbol names to numbers. Symbol numbers are always 256 or higher, to distinguish them from token numbers, which are between 0 and 255 (inclusive). number2symbol -- a dict mapping numbers to symbol names; these two are each other's inverse. states -- a list of DFAs, where each DFA is a list of states, each state is a list of arcs, and each arc is a (i, j) pair where i is a label and j is a state number. The DFA number is the index into this list. (This name is slightly confusing.) Final states are represented by a special arc of the form (0, j) where j is its own state number. dfas -- a dict mapping symbol numbers to (DFA, first) pairs, where DFA is an item from the states list above, and first is a set of tokens that can begin this grammar rule (represented by a dict whose values are always 1). labels -- a list of (x, y) pairs where x is either a token number or a symbol number, and y is either None or a string; the strings are keywords. The label number is the index in this list; label numbers are used to mark state transitions (arcs) in the DFAs. start -- the number of the grammar's start symbol. keywords -- a dict mapping keyword strings to arc labels. tokens -- a dict mapping token numbers to arc labels. """ def __init__(self): self.symbol2number = {} self.number2symbol = {} self.states = [] self.dfas = {} self.labels = [(0, "EMPTY")] self.keywords = {} self.tokens = {} self.symbol2label = {} self.start = 256 def dump(self, filename): """Dump the grammar tables to a pickle file.""" with open(filename, "wb") as f: pickle.dump(self.__dict__, f, pickle.HIGHEST_PROTOCOL) def load(self, filename): """Load the grammar tables from a pickle file.""" with open(filename, "rb") as f: d = pickle.load(f) self.__dict__.update(d) def loads(self, pkl): """Load the grammar tables from a pickle bytes object.""" self.__dict__.update(pickle.loads(pkl)) def copy(self): """ Copy the grammar. """ new = self.__class__() for dict_attr in ("symbol2number", "number2symbol", "dfas", "keywords", "tokens", "symbol2label"): setattr(new, dict_attr, getattr(self, dict_attr).copy()) new.labels = self.labels[:] new.states = self.states[:] new.start = self.start return new def report(self): """Dump the grammar tables to standard output, for debugging.""" from pprint import pprint print("s2n") pprint(self.symbol2number) print("n2s") pprint(self.number2symbol) print("states") pprint(self.states) print("dfas") pprint(self.dfas) print("labels") pprint(self.labels) print("start", self.start) # Map from operator to number (since tokenize doesn't do this) opmap_raw = """ ( LPAR ) RPAR [ LSQB ] RSQB : COLON , COMMA ; SEMI + PLUS - MINUS * STAR / SLASH | VBAR & AMPER < LESS > GREATER = EQUAL . DOT % PERCENT ` BACKQUOTE { LBRACE } RBRACE @ AT @= ATEQUAL == EQEQUAL != NOTEQUAL <> NOTEQUAL <= LESSEQUAL >= GREATEREQUAL ~ TILDE ^ CIRCUMFLEX << LEFTSHIFT >> RIGHTSHIFT ** DOUBLESTAR += PLUSEQUAL -= MINEQUAL *= STAREQUAL /= SLASHEQUAL %= PERCENTEQUAL &= AMPEREQUAL |= VBAREQUAL ^= CIRCUMFLEXEQUAL <<= LEFTSHIFTEQUAL >>= RIGHTSHIFTEQUAL **= DOUBLESTAREQUAL // DOUBLESLASH //= DOUBLESLASHEQUAL -> RARROW := COLONEQUAL """ opmap = {} for line in opmap_raw.splitlines(): if line: op, name = line.split() opmap[op] = getattr(token, name) del line, op, name literals.py000066400000000000000000000031431514162565100334120ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/pgen2# Copyright 2004-2005 Elemental Security, Inc. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. """Safely evaluate Python string literals without using eval().""" import re simple_escapes = {"a": "\a", "b": "\b", "f": "\f", "n": "\n", "r": "\r", "t": "\t", "v": "\v", "'": "'", '"': '"', "\\": "\\"} def escape(m): all, tail = m.group(0, 1) assert all.startswith("\\") esc = simple_escapes.get(tail) if esc is not None: return esc if tail.startswith("x"): hexes = tail[1:] if len(hexes) < 2: raise ValueError("invalid hex string escape ('\\%s')" % tail) try: i = int(hexes, 16) except ValueError: raise ValueError("invalid hex string escape ('\\%s')" % tail) from None else: try: i = int(tail, 8) except ValueError: raise ValueError("invalid octal string escape ('\\%s')" % tail) from None return chr(i) def evalString(s): assert s.startswith("'") or s.startswith('"'), repr(s[:1]) q = s[0] if s[:3] == q*3: q = q*3 assert s.endswith(q), repr(s[-len(q):]) assert len(s) >= 2*len(q) s = s[len(q):-len(q)] return re.sub(r"\\(\'|\"|\\|[abfnrtv]|x.{0,2}|[0-7]{1,3})", escape, s) def test(): for i in range(256): c = chr(i) s = repr(c) e = evalString(s) if e != c: print(i, c, s, e) if __name__ == "__main__": test() pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/pgen2/parse.py000066400000000000000000000177331514162565100327760ustar00rootroot00000000000000# Copyright 2004-2005 Elemental Security, Inc. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. """Parser engine for the grammar tables generated by pgen. The grammar table must be loaded first. See Parser/parser.c in the Python distribution for additional info on how this parsing engine works. """ # Local imports from . import token class ParseError(Exception): """Exception to signal the parser is stuck.""" def __init__(self, msg, type, value, context): Exception.__init__(self, "%s: type=%r, value=%r, context=%r" % (msg, type, value, context)) self.msg = msg self.type = type self.value = value self.context = context def __reduce__(self): return type(self), (self.msg, self.type, self.value, self.context) class Parser(object): """Parser engine. The proper usage sequence is: p = Parser(grammar, [converter]) # create instance p.setup([start]) # prepare for parsing : if p.addtoken(...): # parse a token; may raise ParseError break root = p.rootnode # root of abstract syntax tree A Parser instance may be reused by calling setup() repeatedly. A Parser instance contains state pertaining to the current token sequence, and should not be used concurrently by different threads to parse separate token sequences. See driver.py for how to get input tokens by tokenizing a file or string. Parsing is complete when addtoken() returns True; the root of the abstract syntax tree can then be retrieved from the rootnode instance variable. When a syntax error occurs, addtoken() raises the ParseError exception. There is no error recovery; the parser cannot be used after a syntax error was reported (but it can be reinitialized by calling setup()). """ def __init__(self, grammar, convert=None): """Constructor. The grammar argument is a grammar.Grammar instance; see the grammar module for more information. The parser is not ready yet for parsing; you must call the setup() method to get it started. The optional convert argument is a function mapping concrete syntax tree nodes to abstract syntax tree nodes. If not given, no conversion is done and the syntax tree produced is the concrete syntax tree. If given, it must be a function of two arguments, the first being the grammar (a grammar.Grammar instance), and the second being the concrete syntax tree node to be converted. The syntax tree is converted from the bottom up. A concrete syntax tree node is a (type, value, context, nodes) tuple, where type is the node type (a token or symbol number), value is None for symbols and a string for tokens, context is None or an opaque value used for error reporting (typically a (lineno, offset) pair), and nodes is a list of children for symbols, and None for tokens. An abstract syntax tree node may be anything; this is entirely up to the converter function. """ self.grammar = grammar self.convert = convert or (lambda grammar, node: node) def setup(self, start=None): """Prepare for parsing. This *must* be called before starting to parse. The optional argument is an alternative start symbol; it defaults to the grammar's start symbol. You can use a Parser instance to parse any number of programs; each time you call setup() the parser is reset to an initial state determined by the (implicit or explicit) start symbol. """ if start is None: start = self.grammar.start # Each stack entry is a tuple: (dfa, state, node). # A node is a tuple: (type, value, context, children), # where children is a list of nodes or None, and context may be None. newnode = (start, None, None, []) stackentry = (self.grammar.dfas[start], 0, newnode) self.stack = [stackentry] self.rootnode = None self.used_names = set() # Aliased to self.rootnode.used_names in pop() def addtoken(self, type, value, context): """Add a token; return True iff this is the end of the program.""" # Map from token to label ilabel = self.classify(type, value, context) # Loop until the token is shifted; may raise exceptions while True: dfa, state, node = self.stack[-1] states, first = dfa arcs = states[state] # Look for a state with this label for i, newstate in arcs: t, v = self.grammar.labels[i] if ilabel == i: # Look it up in the list of labels assert t < 256 # Shift a token; we're done with it self.shift(type, value, newstate, context) # Pop while we are in an accept-only state state = newstate while states[state] == [(0, state)]: self.pop() if not self.stack: # Done parsing! return True dfa, state, node = self.stack[-1] states, first = dfa # Done with this token return False elif t >= 256: # See if it's a symbol and if we're in its first set itsdfa = self.grammar.dfas[t] itsstates, itsfirst = itsdfa if ilabel in itsfirst: # Push a symbol self.push(t, self.grammar.dfas[t], newstate, context) break # To continue the outer while loop else: if (0, state) in arcs: # An accepting state, pop it and try something else self.pop() if not self.stack: # Done parsing, but another token is input raise ParseError("too much input", type, value, context) else: # No success finding a transition raise ParseError("bad input", type, value, context) def classify(self, type, value, context): """Turn a token into a label. (Internal)""" if type == token.NAME: # Keep a listing of all used names self.used_names.add(value) # Check for reserved words ilabel = self.grammar.keywords.get(value) if ilabel is not None: return ilabel ilabel = self.grammar.tokens.get(type) if ilabel is None: raise ParseError("bad token", type, value, context) return ilabel def shift(self, type, value, newstate, context): """Shift a token. (Internal)""" dfa, state, node = self.stack[-1] newnode = (type, value, context, None) newnode = self.convert(self.grammar, newnode) if newnode is not None: node[-1].append(newnode) self.stack[-1] = (dfa, newstate, node) def push(self, type, newdfa, newstate, context): """Push a nonterminal. (Internal)""" dfa, state, node = self.stack[-1] newnode = (type, None, context, []) self.stack[-1] = (dfa, newstate, node) self.stack.append((newdfa, 0, newnode)) def pop(self): """Pop a nonterminal. (Internal)""" popdfa, popstate, popnode = self.stack.pop() newnode = self.convert(self.grammar, popnode) if newnode is not None: if self.stack: dfa, state, node = self.stack[-1] node[-1].append(newnode) else: self.rootnode = newnode self.rootnode.used_names = self.used_names pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/pgen2/pgen.py000066400000000000000000000330061514162565100326040ustar00rootroot00000000000000# Copyright 2004-2005 Elemental Security, Inc. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. # Pgen imports from . import grammar, token, tokenize class PgenGrammar(grammar.Grammar): pass class ParserGenerator(object): def __init__(self, filename, stream=None): close_stream = None if stream is None: stream = open(filename, encoding="utf-8") close_stream = stream.close self.filename = filename self.stream = stream self.generator = tokenize.generate_tokens(stream.readline) self.gettoken() # Initialize lookahead self.dfas, self.startsymbol = self.parse() if close_stream is not None: close_stream() self.first = {} # map from symbol name to set of tokens self.addfirstsets() def make_grammar(self): c = PgenGrammar() names = list(self.dfas.keys()) names.sort() names.remove(self.startsymbol) names.insert(0, self.startsymbol) for name in names: i = 256 + len(c.symbol2number) c.symbol2number[name] = i c.number2symbol[i] = name for name in names: dfa = self.dfas[name] states = [] for state in dfa: arcs = [] for label, next in sorted(state.arcs.items()): arcs.append((self.make_label(c, label), dfa.index(next))) if state.isfinal: arcs.append((0, dfa.index(state))) states.append(arcs) c.states.append(states) c.dfas[c.symbol2number[name]] = (states, self.make_first(c, name)) c.start = c.symbol2number[self.startsymbol] return c def make_first(self, c, name): rawfirst = self.first[name] first = {} for label in sorted(rawfirst): ilabel = self.make_label(c, label) ##assert ilabel not in first # XXX failed on <> ... != first[ilabel] = 1 return first def make_label(self, c, label): # XXX Maybe this should be a method on a subclass of converter? ilabel = len(c.labels) if label[0].isalpha(): # Either a symbol name or a named token if label in c.symbol2number: # A symbol name (a non-terminal) if label in c.symbol2label: return c.symbol2label[label] else: c.labels.append((c.symbol2number[label], None)) c.symbol2label[label] = ilabel return ilabel else: # A named token (NAME, NUMBER, STRING) itoken = getattr(token, label, None) assert isinstance(itoken, int), label assert itoken in token.tok_name, label if itoken in c.tokens: return c.tokens[itoken] else: c.labels.append((itoken, None)) c.tokens[itoken] = ilabel return ilabel else: # Either a keyword or an operator assert label[0] in ('"', "'"), label value = eval(label) if value[0].isalpha(): # A keyword if value in c.keywords: return c.keywords[value] else: c.labels.append((token.NAME, value)) c.keywords[value] = ilabel return ilabel else: # An operator (any non-numeric token) itoken = grammar.opmap[value] # Fails if unknown token if itoken in c.tokens: return c.tokens[itoken] else: c.labels.append((itoken, None)) c.tokens[itoken] = ilabel return ilabel def addfirstsets(self): names = list(self.dfas.keys()) names.sort() for name in names: if name not in self.first: self.calcfirst(name) #print name, self.first[name].keys() def calcfirst(self, name): dfa = self.dfas[name] self.first[name] = None # dummy to detect left recursion state = dfa[0] totalset = {} overlapcheck = {} for label, next in state.arcs.items(): if label in self.dfas: if label in self.first: fset = self.first[label] if fset is None: raise ValueError("recursion for rule %r" % name) else: self.calcfirst(label) fset = self.first[label] totalset.update(fset) overlapcheck[label] = fset else: totalset[label] = 1 overlapcheck[label] = {label: 1} inverse = {} for label, itsfirst in overlapcheck.items(): for symbol in itsfirst: if symbol in inverse: raise ValueError("rule %s is ambiguous; %s is in the" " first sets of %s as well as %s" % (name, symbol, label, inverse[symbol])) inverse[symbol] = label self.first[name] = totalset def parse(self): dfas = {} startsymbol = None # MSTART: (NEWLINE | RULE)* ENDMARKER while self.type != token.ENDMARKER: while self.type == token.NEWLINE: self.gettoken() # RULE: NAME ':' RHS NEWLINE name = self.expect(token.NAME) self.expect(token.OP, ":") a, z = self.parse_rhs() self.expect(token.NEWLINE) #self.dump_nfa(name, a, z) dfa = self.make_dfa(a, z) #self.dump_dfa(name, dfa) oldlen = len(dfa) self.simplify_dfa(dfa) newlen = len(dfa) dfas[name] = dfa #print name, oldlen, newlen if startsymbol is None: startsymbol = name return dfas, startsymbol def make_dfa(self, start, finish): # To turn an NFA into a DFA, we define the states of the DFA # to correspond to *sets* of states of the NFA. Then do some # state reduction. Let's represent sets as dicts with 1 for # values. assert isinstance(start, NFAState) assert isinstance(finish, NFAState) def closure(state): base = {} addclosure(state, base) return base def addclosure(state, base): assert isinstance(state, NFAState) if state in base: return base[state] = 1 for label, next in state.arcs: if label is None: addclosure(next, base) states = [DFAState(closure(start), finish)] for state in states: # NB states grows while we're iterating arcs = {} for nfastate in state.nfaset: for label, next in nfastate.arcs: if label is not None: addclosure(next, arcs.setdefault(label, {})) for label, nfaset in sorted(arcs.items()): for st in states: if st.nfaset == nfaset: break else: st = DFAState(nfaset, finish) states.append(st) state.addarc(st, label) return states # List of DFAState instances; first one is start def dump_nfa(self, name, start, finish): print("Dump of NFA for", name) todo = [start] for i, state in enumerate(todo): print(" State", i, state is finish and "(final)" or "") for label, next in state.arcs: if next in todo: j = todo.index(next) else: j = len(todo) todo.append(next) if label is None: print(" -> %d" % j) else: print(" %s -> %d" % (label, j)) def dump_dfa(self, name, dfa): print("Dump of DFA for", name) for i, state in enumerate(dfa): print(" State", i, state.isfinal and "(final)" or "") for label, next in sorted(state.arcs.items()): print(" %s -> %d" % (label, dfa.index(next))) def simplify_dfa(self, dfa): # This is not theoretically optimal, but works well enough. # Algorithm: repeatedly look for two states that have the same # set of arcs (same labels pointing to the same nodes) and # unify them, until things stop changing. # dfa is a list of DFAState instances changes = True while changes: changes = False for i, state_i in enumerate(dfa): for j in range(i+1, len(dfa)): state_j = dfa[j] if state_i == state_j: #print " unify", i, j del dfa[j] for state in dfa: state.unifystate(state_j, state_i) changes = True break def parse_rhs(self): # RHS: ALT ('|' ALT)* a, z = self.parse_alt() if self.value != "|": return a, z else: aa = NFAState() zz = NFAState() aa.addarc(a) z.addarc(zz) while self.value == "|": self.gettoken() a, z = self.parse_alt() aa.addarc(a) z.addarc(zz) return aa, zz def parse_alt(self): # ALT: ITEM+ a, b = self.parse_item() while (self.value in ("(", "[") or self.type in (token.NAME, token.STRING)): c, d = self.parse_item() b.addarc(c) b = d return a, b def parse_item(self): # ITEM: '[' RHS ']' | ATOM ['+' | '*'] if self.value == "[": self.gettoken() a, z = self.parse_rhs() self.expect(token.OP, "]") a.addarc(z) return a, z else: a, z = self.parse_atom() value = self.value if value not in ("+", "*"): return a, z self.gettoken() z.addarc(a) if value == "+": return a, z else: return a, a def parse_atom(self): # ATOM: '(' RHS ')' | NAME | STRING if self.value == "(": self.gettoken() a, z = self.parse_rhs() self.expect(token.OP, ")") return a, z elif self.type in (token.NAME, token.STRING): a = NFAState() z = NFAState() a.addarc(z, self.value) self.gettoken() return a, z else: self.raise_error("expected (...) or NAME or STRING, got %s/%s", self.type, self.value) def expect(self, type, value=None): if self.type != type or (value is not None and self.value != value): self.raise_error("expected %s/%s, got %s/%s", type, value, self.type, self.value) value = self.value self.gettoken() return value def gettoken(self): tup = next(self.generator) while tup[0] in (tokenize.COMMENT, tokenize.NL): tup = next(self.generator) self.type, self.value, self.begin, self.end, self.line = tup #print token.tok_name[self.type], repr(self.value) def raise_error(self, msg, *args): if args: try: msg = msg % args except: msg = " ".join([msg] + list(map(str, args))) raise SyntaxError(msg, (self.filename, self.end[0], self.end[1], self.line)) class NFAState(object): def __init__(self): self.arcs = [] # list of (label, NFAState) pairs def addarc(self, next, label=None): assert label is None or isinstance(label, str) assert isinstance(next, NFAState) self.arcs.append((label, next)) class DFAState(object): def __init__(self, nfaset, final): assert isinstance(nfaset, dict) assert isinstance(next(iter(nfaset)), NFAState) assert isinstance(final, NFAState) self.nfaset = nfaset self.isfinal = final in nfaset self.arcs = {} # map from label to DFAState def addarc(self, next, label): assert isinstance(label, str) assert label not in self.arcs assert isinstance(next, DFAState) self.arcs[label] = next def unifystate(self, old, new): for label, next in self.arcs.items(): if next is old: self.arcs[label] = new def __eq__(self, other): # Equality test -- ignore the nfaset instance variable assert isinstance(other, DFAState) if self.isfinal != other.isfinal: return False # Can't just return self.arcs == other.arcs, because that # would invoke this method recursively, with cycles... if len(self.arcs) != len(other.arcs): return False for label, next in self.arcs.items(): if next is not other.arcs.get(label): return False return True __hash__ = None # For Py3 compatibility. def generate_grammar(filename="Grammar.txt"): p = ParserGenerator(filename) return p.make_grammar() pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/pgen2/token.py000077500000000000000000000024261514162565100330000ustar00rootroot00000000000000#! /usr/bin/env python3 """Token constants (from "token.h").""" # Taken from Python (r53757) and modified to include some tokens # originally monkeypatched in by pgen2.tokenize #--start constants-- ENDMARKER = 0 NAME = 1 NUMBER = 2 STRING = 3 NEWLINE = 4 INDENT = 5 DEDENT = 6 LPAR = 7 RPAR = 8 LSQB = 9 RSQB = 10 COLON = 11 COMMA = 12 SEMI = 13 PLUS = 14 MINUS = 15 STAR = 16 SLASH = 17 VBAR = 18 AMPER = 19 LESS = 20 GREATER = 21 EQUAL = 22 DOT = 23 PERCENT = 24 BACKQUOTE = 25 LBRACE = 26 RBRACE = 27 EQEQUAL = 28 NOTEQUAL = 29 LESSEQUAL = 30 GREATEREQUAL = 31 TILDE = 32 CIRCUMFLEX = 33 LEFTSHIFT = 34 RIGHTSHIFT = 35 DOUBLESTAR = 36 PLUSEQUAL = 37 MINEQUAL = 38 STAREQUAL = 39 SLASHEQUAL = 40 PERCENTEQUAL = 41 AMPEREQUAL = 42 VBAREQUAL = 43 CIRCUMFLEXEQUAL = 44 LEFTSHIFTEQUAL = 45 RIGHTSHIFTEQUAL = 46 DOUBLESTAREQUAL = 47 DOUBLESLASH = 48 DOUBLESLASHEQUAL = 49 AT = 50 ATEQUAL = 51 OP = 52 COMMENT = 53 NL = 54 RARROW = 55 AWAIT = 56 ASYNC = 57 ERRORTOKEN = 58 COLONEQUAL = 59 N_TOKENS = 60 NT_OFFSET = 256 #--end constants-- tok_name = {} for _name, _value in list(globals().items()): if isinstance(_value, int): tok_name[_value] = _name def ISTERMINAL(x): return x < NT_OFFSET def ISNONTERMINAL(x): return x >= NT_OFFSET def ISEOF(x): return x == ENDMARKER tokenize.py000066400000000000000000000511771514162565100334350ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/pgen2# Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006 Python Software Foundation. # All rights reserved. """Tokenization help for Python programs. generate_tokens(readline) is a generator that breaks a stream of text into Python tokens. It accepts a readline-like method which is called repeatedly to get the next line of input (or "" for EOF). It generates 5-tuples with these members: the token type (see token.py) the token (a string) the starting (row, column) indices of the token (a 2-tuple of ints) the ending (row, column) indices of the token (a 2-tuple of ints) the original line (string) It is designed to match the working of the Python tokenizer exactly, except that it produces COMMENT tokens for comments and gives type OP for all operators Older entry points tokenize_loop(readline, tokeneater) tokenize(readline, tokeneater=printtoken) are the same, except instead of generating tokens, tokeneater is a callback function to which the 5 fields described above are passed as 5 arguments, each time a new token is found.""" __author__ = 'Ka-Ping Yee ' __credits__ = \ 'GvR, ESR, Tim Peters, Thomas Wouters, Fred Drake, Skip Montanaro' import string, re from codecs import BOM_UTF8, lookup from lib2to3.pgen2.token import * from . import token __all__ = [x for x in dir(token) if x[0] != '_'] + ["tokenize", "generate_tokens", "untokenize"] del token try: bytes except NameError: # Support bytes type in Python <= 2.5, so 2to3 turns itself into # valid Python 3 code. bytes = str def group(*choices): return '(' + '|'.join(choices) + ')' def any(*choices): return group(*choices) + '*' def maybe(*choices): return group(*choices) + '?' def _combinations(*l): return set( x + y for x in l for y in l + ("",) if x.casefold() != y.casefold() ) Whitespace = r'[ \f\t]*' Comment = r'#[^\r\n]*' Ignore = Whitespace + any(r'\\\r?\n' + Whitespace) + maybe(Comment) Name = r'\w+' Binnumber = r'0[bB]_?[01]+(?:_[01]+)*' Hexnumber = r'0[xX]_?[\da-fA-F]+(?:_[\da-fA-F]+)*[lL]?' Octnumber = r'0[oO]?_?[0-7]+(?:_[0-7]+)*[lL]?' Decnumber = group(r'[1-9]\d*(?:_\d+)*[lL]?', '0[lL]?') Intnumber = group(Binnumber, Hexnumber, Octnumber, Decnumber) Exponent = r'[eE][-+]?\d+(?:_\d+)*' Pointfloat = group(r'\d+(?:_\d+)*\.(?:\d+(?:_\d+)*)?', r'\.\d+(?:_\d+)*') + maybe(Exponent) Expfloat = r'\d+(?:_\d+)*' + Exponent Floatnumber = group(Pointfloat, Expfloat) Imagnumber = group(r'\d+(?:_\d+)*[jJ]', Floatnumber + r'[jJ]') Number = group(Imagnumber, Floatnumber, Intnumber) # Tail end of ' string. Single = r"[^'\\]*(?:\\.[^'\\]*)*'" # Tail end of " string. Double = r'[^"\\]*(?:\\.[^"\\]*)*"' # Tail end of ''' string. Single3 = r"[^'\\]*(?:(?:\\.|'(?!''))[^'\\]*)*'''" # Tail end of """ string. Double3 = r'[^"\\]*(?:(?:\\.|"(?!""))[^"\\]*)*"""' _litprefix = r"(?:[uUrRbBfF]|[rR][fFbB]|[fFbBuU][rR])?" Triple = group(_litprefix + "'''", _litprefix + '"""') # Single-line ' or " string. String = group(_litprefix + r"'[^\n'\\]*(?:\\.[^\n'\\]*)*'", _litprefix + r'"[^\n"\\]*(?:\\.[^\n"\\]*)*"') # Because of leftmost-then-longest match semantics, be sure to put the # longest operators first (e.g., if = came before ==, == would get # recognized as two instances of =). Operator = group(r"\*\*=?", r">>=?", r"<<=?", r"<>", r"!=", r"//=?", r"->", r"[+\-*/%&@|^=<>]=?", r"~") Bracket = '[][(){}]' Special = group(r'\r?\n', r':=', r'[:;.,`@]') Funny = group(Operator, Bracket, Special) PlainToken = group(Number, Funny, String, Name) Token = Ignore + PlainToken # First (or only) line of ' or " string. ContStr = group(_litprefix + r"'[^\n'\\]*(?:\\.[^\n'\\]*)*" + group("'", r'\\\r?\n'), _litprefix + r'"[^\n"\\]*(?:\\.[^\n"\\]*)*' + group('"', r'\\\r?\n')) PseudoExtras = group(r'\\\r?\n', Comment, Triple) PseudoToken = Whitespace + group(PseudoExtras, Number, Funny, ContStr, Name) tokenprog, pseudoprog, single3prog, double3prog = map( re.compile, (Token, PseudoToken, Single3, Double3)) _strprefixes = ( _combinations('r', 'R', 'f', 'F') | _combinations('r', 'R', 'b', 'B') | {'u', 'U', 'ur', 'uR', 'Ur', 'UR'} ) endprogs = {"'": re.compile(Single), '"': re.compile(Double), "'''": single3prog, '"""': double3prog, **{f"{prefix}'''": single3prog for prefix in _strprefixes}, **{f'{prefix}"""': double3prog for prefix in _strprefixes}, **{prefix: None for prefix in _strprefixes}} triple_quoted = ( {"'''", '"""'} | {f"{prefix}'''" for prefix in _strprefixes} | {f'{prefix}"""' for prefix in _strprefixes} ) single_quoted = ( {"'", '"'} | {f"{prefix}'" for prefix in _strprefixes} | {f'{prefix}"' for prefix in _strprefixes} ) tabsize = 8 class TokenError(Exception): pass class StopTokenizing(Exception): pass def printtoken(type, token, xxx_todo_changeme, xxx_todo_changeme1, line): # for testing (srow, scol) = xxx_todo_changeme (erow, ecol) = xxx_todo_changeme1 print("%d,%d-%d,%d:\t%s\t%s" % \ (srow, scol, erow, ecol, tok_name[type], repr(token))) def tokenize(readline, tokeneater=printtoken): """ The tokenize() function accepts two parameters: one representing the input stream, and one providing an output mechanism for tokenize(). The first parameter, readline, must be a callable object which provides the same interface as the readline() method of built-in file objects. Each call to the function should return one line of input as a string. The second parameter, tokeneater, must also be a callable object. It is called once for each token, with five arguments, corresponding to the tuples generated by generate_tokens(). """ try: tokenize_loop(readline, tokeneater) except StopTokenizing: pass # backwards compatible interface def tokenize_loop(readline, tokeneater): for token_info in generate_tokens(readline): tokeneater(*token_info) class Untokenizer: def __init__(self): self.tokens = [] self.prev_row = 1 self.prev_col = 0 def add_whitespace(self, start): row, col = start assert row <= self.prev_row col_offset = col - self.prev_col if col_offset: self.tokens.append(" " * col_offset) def untokenize(self, iterable): for t in iterable: if len(t) == 2: self.compat(t, iterable) break tok_type, token, start, end, line = t self.add_whitespace(start) self.tokens.append(token) self.prev_row, self.prev_col = end if tok_type in (NEWLINE, NL): self.prev_row += 1 self.prev_col = 0 return "".join(self.tokens) def compat(self, token, iterable): startline = False indents = [] toks_append = self.tokens.append toknum, tokval = token if toknum in (NAME, NUMBER): tokval += ' ' if toknum in (NEWLINE, NL): startline = True for tok in iterable: toknum, tokval = tok[:2] if toknum in (NAME, NUMBER, ASYNC, AWAIT): tokval += ' ' if toknum == INDENT: indents.append(tokval) continue elif toknum == DEDENT: indents.pop() continue elif toknum in (NEWLINE, NL): startline = True elif startline and indents: toks_append(indents[-1]) startline = False toks_append(tokval) cookie_re = re.compile(r'^[ \t\f]*#.*?coding[:=][ \t]*([-\w.]+)', re.ASCII) blank_re = re.compile(br'^[ \t\f]*(?:[#\r\n]|$)', re.ASCII) def _get_normal_name(orig_enc): """Imitates get_normal_name in tokenizer.c.""" # Only care about the first 12 characters. enc = orig_enc[:12].lower().replace("_", "-") if enc == "utf-8" or enc.startswith("utf-8-"): return "utf-8" if enc in ("latin-1", "iso-8859-1", "iso-latin-1") or \ enc.startswith(("latin-1-", "iso-8859-1-", "iso-latin-1-")): return "iso-8859-1" return orig_enc def detect_encoding(readline): """ The detect_encoding() function is used to detect the encoding that should be used to decode a Python source file. It requires one argument, readline, in the same way as the tokenize() generator. It will call readline a maximum of twice, and return the encoding used (as a string) and a list of any lines (left as bytes) it has read in. It detects the encoding from the presence of a utf-8 bom or an encoding cookie as specified in pep-0263. If both a bom and a cookie are present, but disagree, a SyntaxError will be raised. If the encoding cookie is an invalid charset, raise a SyntaxError. Note that if a utf-8 bom is found, 'utf-8-sig' is returned. If no encoding is specified, then the default of 'utf-8' will be returned. """ bom_found = False encoding = None default = 'utf-8' def read_or_stop(): try: return readline() except StopIteration: return bytes() def find_cookie(line): try: line_string = line.decode('ascii') except UnicodeDecodeError: return None match = cookie_re.match(line_string) if not match: return None encoding = _get_normal_name(match.group(1)) try: codec = lookup(encoding) except LookupError: # This behaviour mimics the Python interpreter raise SyntaxError("unknown encoding: " + encoding) if bom_found: if codec.name != 'utf-8': # This behaviour mimics the Python interpreter raise SyntaxError('encoding problem: utf-8') encoding += '-sig' return encoding first = read_or_stop() if first.startswith(BOM_UTF8): bom_found = True first = first[3:] default = 'utf-8-sig' if not first: return default, [] encoding = find_cookie(first) if encoding: return encoding, [first] if not blank_re.match(first): return default, [first] second = read_or_stop() if not second: return default, [first] encoding = find_cookie(second) if encoding: return encoding, [first, second] return default, [first, second] def untokenize(iterable): """Transform tokens back into Python source code. Each element returned by the iterable must be a token sequence with at least two elements, a token number and token value. If only two tokens are passed, the resulting output is poor. Round-trip invariant for full input: Untokenized source will match input source exactly Round-trip invariant for limited input: # Output text will tokenize the back to the input t1 = [tok[:2] for tok in generate_tokens(f.readline)] newcode = untokenize(t1) readline = iter(newcode.splitlines(1)).next t2 = [tok[:2] for tokin generate_tokens(readline)] assert t1 == t2 """ ut = Untokenizer() return ut.untokenize(iterable) def generate_tokens(readline): """ The generate_tokens() generator requires one argument, readline, which must be a callable object which provides the same interface as the readline() method of built-in file objects. Each call to the function should return one line of input as a string. Alternately, readline can be a callable function terminating with StopIteration: readline = open(myfile).next # Example of alternate readline The generator produces 5-tuples with these members: the token type; the token string; a 2-tuple (srow, scol) of ints specifying the row and column where the token begins in the source; a 2-tuple (erow, ecol) of ints specifying the row and column where the token ends in the source; and the line on which the token was found. The line passed is the physical line. """ lnum = parenlev = continued = 0 contstr, needcont = '', 0 contline = None indents = [0] # 'stashed' and 'async_*' are used for async/await parsing stashed = None async_def = False async_def_indent = 0 async_def_nl = False while 1: # loop over lines in stream try: line = readline() except StopIteration: line = '' lnum = lnum + 1 pos, max = 0, len(line) if contstr: # continued string if not line: raise TokenError("EOF in multi-line string", strstart) endmatch = endprog.match(line) if endmatch: pos = end = endmatch.end(0) yield (STRING, contstr + line[:end], strstart, (lnum, end), contline + line) contstr, needcont = '', 0 contline = None elif needcont and line[-2:] != '\\\n' and line[-3:] != '\\\r\n': yield (ERRORTOKEN, contstr + line, strstart, (lnum, len(line)), contline) contstr = '' contline = None continue else: contstr = contstr + line contline = contline + line continue elif parenlev == 0 and not continued: # new statement if not line: break column = 0 while pos < max: # measure leading whitespace if line[pos] == ' ': column = column + 1 elif line[pos] == '\t': column = (column//tabsize + 1)*tabsize elif line[pos] == '\f': column = 0 else: break pos = pos + 1 if pos == max: break if stashed: yield stashed stashed = None if line[pos] in '#\r\n': # skip comments or blank lines if line[pos] == '#': comment_token = line[pos:].rstrip('\r\n') nl_pos = pos + len(comment_token) yield (COMMENT, comment_token, (lnum, pos), (lnum, pos + len(comment_token)), line) yield (NL, line[nl_pos:], (lnum, nl_pos), (lnum, len(line)), line) else: yield ((NL, COMMENT)[line[pos] == '#'], line[pos:], (lnum, pos), (lnum, len(line)), line) continue if column > indents[-1]: # count indents or dedents indents.append(column) yield (INDENT, line[:pos], (lnum, 0), (lnum, pos), line) while column < indents[-1]: if column not in indents: raise IndentationError( "unindent does not match any outer indentation level", ("", lnum, pos, line)) indents = indents[:-1] if async_def and async_def_indent >= indents[-1]: async_def = False async_def_nl = False async_def_indent = 0 yield (DEDENT, '', (lnum, pos), (lnum, pos), line) if async_def and async_def_nl and async_def_indent >= indents[-1]: async_def = False async_def_nl = False async_def_indent = 0 else: # continued statement if not line: raise TokenError("EOF in multi-line statement", (lnum, 0)) continued = 0 while pos < max: pseudomatch = pseudoprog.match(line, pos) if pseudomatch: # scan for tokens start, end = pseudomatch.span(1) spos, epos, pos = (lnum, start), (lnum, end), end token, initial = line[start:end], line[start] if initial in string.digits or \ (initial == '.' and token != '.'): # ordinary number yield (NUMBER, token, spos, epos, line) elif initial in '\r\n': newline = NEWLINE if parenlev > 0: newline = NL elif async_def: async_def_nl = True if stashed: yield stashed stashed = None yield (newline, token, spos, epos, line) elif initial == '#': assert not token.endswith("\n") if stashed: yield stashed stashed = None yield (COMMENT, token, spos, epos, line) elif token in triple_quoted: endprog = endprogs[token] endmatch = endprog.match(line, pos) if endmatch: # all on one line pos = endmatch.end(0) token = line[start:pos] if stashed: yield stashed stashed = None yield (STRING, token, spos, (lnum, pos), line) else: strstart = (lnum, start) # multiple lines contstr = line[start:] contline = line break elif initial in single_quoted or \ token[:2] in single_quoted or \ token[:3] in single_quoted: if token[-1] == '\n': # continued string strstart = (lnum, start) endprog = (endprogs[initial] or endprogs[token[1]] or endprogs[token[2]]) contstr, needcont = line[start:], 1 contline = line break else: # ordinary string if stashed: yield stashed stashed = None yield (STRING, token, spos, epos, line) elif initial.isidentifier(): # ordinary name if token in ('async', 'await'): if async_def: yield (ASYNC if token == 'async' else AWAIT, token, spos, epos, line) continue tok = (NAME, token, spos, epos, line) if token == 'async' and not stashed: stashed = tok continue if token in ('def', 'for'): if (stashed and stashed[0] == NAME and stashed[1] == 'async'): if token == 'def': async_def = True async_def_indent = indents[-1] yield (ASYNC, stashed[1], stashed[2], stashed[3], stashed[4]) stashed = None if stashed: yield stashed stashed = None yield tok elif initial == '\\': # continued stmt # This yield is new; needed for better idempotency: if stashed: yield stashed stashed = None yield (NL, token, spos, (lnum, pos), line) continued = 1 else: if initial in '([{': parenlev = parenlev + 1 elif initial in ')]}': parenlev = parenlev - 1 if stashed: yield stashed stashed = None yield (OP, token, spos, epos, line) else: yield (ERRORTOKEN, line[pos], (lnum, pos), (lnum, pos+1), line) pos = pos + 1 if stashed: yield stashed stashed = None for indent in indents[1:]: # pop remaining indent levels yield (DEDENT, '', (lnum, 0), (lnum, 0), '') yield (ENDMARKER, '', (lnum, 0), (lnum, 0), '') if __name__ == '__main__': # testing import sys if len(sys.argv) > 1: tokenize(open(sys.argv[1]).readline) else: tokenize(sys.stdin.readline) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/pygram.py000066400000000000000000000024311514162565100321350ustar00rootroot00000000000000# Copyright 2006 Google, Inc. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. """Export the Python grammar and symbols.""" # Python imports import os # Local imports from .pgen2 import token from .pgen2 import driver from . import pytree # The grammar file _GRAMMAR_FILE = os.path.join(os.path.dirname(__file__), "Grammar.txt") _PATTERN_GRAMMAR_FILE = os.path.join(os.path.dirname(__file__), "PatternGrammar.txt") class Symbols(object): def __init__(self, grammar): """Initializer. Creates an attribute for each grammar symbol (nonterminal), whose value is the symbol's type (an int >= 256). """ for name, symbol in grammar.symbol2number.items(): setattr(self, name, symbol) python_grammar = driver.load_packaged_grammar("lib2to3", _GRAMMAR_FILE) python_symbols = Symbols(python_grammar) python_grammar_no_print_statement = python_grammar.copy() del python_grammar_no_print_statement.keywords["print"] python_grammar_no_print_and_exec_statement = python_grammar_no_print_statement.copy() del python_grammar_no_print_and_exec_statement.keywords["exec"] pattern_grammar = driver.load_packaged_grammar("lib2to3", _PATTERN_GRAMMAR_FILE) pattern_symbols = Symbols(pattern_grammar) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/pytree.py000066400000000000000000000665061514162565100321630ustar00rootroot00000000000000# Copyright 2006 Google, Inc. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. """ Python parse tree definitions. This is a very concrete parse tree; we need to keep every token and even the comments and whitespace between tokens. There's also a pattern matching implementation here. """ __author__ = "Guido van Rossum " import sys from io import StringIO HUGE = 0x7FFFFFFF # maximum repeat count, default max _type_reprs = {} def type_repr(type_num): global _type_reprs if not _type_reprs: from .pygram import python_symbols # printing tokens is possible but not as useful # from .pgen2 import token // token.__dict__.items(): for name, val in python_symbols.__dict__.items(): if type(val) == int: _type_reprs[val] = name return _type_reprs.setdefault(type_num, type_num) class Base(object): """ Abstract base class for Node and Leaf. This provides some default functionality and boilerplate using the template pattern. A node may be a subnode of at most one parent. """ # Default values for instance variables type = None # int: token number (< 256) or symbol number (>= 256) parent = None # Parent node pointer, or None children = () # Tuple of subnodes was_changed = False was_checked = False def __new__(cls, *args, **kwds): """Constructor that prevents Base from being instantiated.""" assert cls is not Base, "Cannot instantiate Base" return object.__new__(cls) def __eq__(self, other): """ Compare two nodes for equality. This calls the method _eq(). """ if self.__class__ is not other.__class__: return NotImplemented return self._eq(other) __hash__ = None # For Py3 compatibility. def _eq(self, other): """ Compare two nodes for equality. This is called by __eq__ and __ne__. It is only called if the two nodes have the same type. This must be implemented by the concrete subclass. Nodes should be considered equal if they have the same structure, ignoring the prefix string and other context information. """ raise NotImplementedError def clone(self): """ Return a cloned (deep) copy of self. This must be implemented by the concrete subclass. """ raise NotImplementedError def post_order(self): """ Return a post-order iterator for the tree. This must be implemented by the concrete subclass. """ raise NotImplementedError def pre_order(self): """ Return a pre-order iterator for the tree. This must be implemented by the concrete subclass. """ raise NotImplementedError def replace(self, new): """Replace this node with a new one in the parent.""" assert self.parent is not None, str(self) assert new is not None if not isinstance(new, list): new = [new] l_children = [] found = False for ch in self.parent.children: if ch is self: assert not found, (self.parent.children, self, new) if new is not None: l_children.extend(new) found = True else: l_children.append(ch) assert found, (self.children, self, new) self.parent.changed() self.parent.children = l_children for x in new: x.parent = self.parent self.parent = None def get_lineno(self): """Return the line number which generated the invocant node.""" node = self while not isinstance(node, Leaf): if not node.children: return node = node.children[0] return node.lineno def changed(self): if self.parent: self.parent.changed() self.was_changed = True def remove(self): """ Remove the node from the tree. Returns the position of the node in its parent's children before it was removed. """ if self.parent: for i, node in enumerate(self.parent.children): if node is self: self.parent.changed() del self.parent.children[i] self.parent = None return i @property def next_sibling(self): """ The node immediately following the invocant in their parent's children list. If the invocant does not have a next sibling, it is None """ if self.parent is None: return None # Can't use index(); we need to test by identity for i, child in enumerate(self.parent.children): if child is self: try: return self.parent.children[i+1] except IndexError: return None @property def prev_sibling(self): """ The node immediately preceding the invocant in their parent's children list. If the invocant does not have a previous sibling, it is None. """ if self.parent is None: return None # Can't use index(); we need to test by identity for i, child in enumerate(self.parent.children): if child is self: if i == 0: return None return self.parent.children[i-1] def leaves(self): for child in self.children: yield from child.leaves() def depth(self): if self.parent is None: return 0 return 1 + self.parent.depth() def get_suffix(self): """ Return the string immediately following the invocant node. This is effectively equivalent to node.next_sibling.prefix """ next_sib = self.next_sibling if next_sib is None: return "" return next_sib.prefix if sys.version_info < (3, 0): def __str__(self): return str(self).encode("ascii") class Node(Base): """Concrete implementation for interior nodes.""" def __init__(self,type, children, context=None, prefix=None, fixers_applied=None): """ Initializer. Takes a type constant (a symbol number >= 256), a sequence of child nodes, and an optional context keyword argument. As a side effect, the parent pointers of the children are updated. """ assert type >= 256, type self.type = type self.children = list(children) for ch in self.children: assert ch.parent is None, repr(ch) ch.parent = self if prefix is not None: self.prefix = prefix if fixers_applied: self.fixers_applied = fixers_applied[:] else: self.fixers_applied = None def __repr__(self): """Return a canonical string representation.""" return "%s(%s, %r)" % (self.__class__.__name__, type_repr(self.type), self.children) def __unicode__(self): """ Return a pretty string representation. This reproduces the input source exactly. """ return "".join(map(str, self.children)) if sys.version_info > (3, 0): __str__ = __unicode__ def _eq(self, other): """Compare two nodes for equality.""" return (self.type, self.children) == (other.type, other.children) def clone(self): """Return a cloned (deep) copy of self.""" return Node(self.type, [ch.clone() for ch in self.children], fixers_applied=self.fixers_applied) def post_order(self): """Return a post-order iterator for the tree.""" for child in self.children: yield from child.post_order() yield self def pre_order(self): """Return a pre-order iterator for the tree.""" yield self for child in self.children: yield from child.pre_order() @property def prefix(self): """ The whitespace and comments preceding this node in the input. """ if not self.children: return "" return self.children[0].prefix @prefix.setter def prefix(self, prefix): if self.children: self.children[0].prefix = prefix def set_child(self, i, child): """ Equivalent to 'node.children[i] = child'. This method also sets the child's parent attribute appropriately. """ child.parent = self self.children[i].parent = None self.children[i] = child self.changed() def insert_child(self, i, child): """ Equivalent to 'node.children.insert(i, child)'. This method also sets the child's parent attribute appropriately. """ child.parent = self self.children.insert(i, child) self.changed() def append_child(self, child): """ Equivalent to 'node.children.append(child)'. This method also sets the child's parent attribute appropriately. """ child.parent = self self.children.append(child) self.changed() class Leaf(Base): """Concrete implementation for leaf nodes.""" # Default values for instance variables _prefix = "" # Whitespace and comments preceding this token in the input lineno = 0 # Line where this token starts in the input column = 0 # Column where this token tarts in the input def __init__(self, type, value, context=None, prefix=None, fixers_applied=[]): """ Initializer. Takes a type constant (a token number < 256), a string value, and an optional context keyword argument. """ assert 0 <= type < 256, type if context is not None: self._prefix, (self.lineno, self.column) = context self.type = type self.value = value if prefix is not None: self._prefix = prefix self.fixers_applied = fixers_applied[:] def __repr__(self): """Return a canonical string representation.""" return "%s(%r, %r)" % (self.__class__.__name__, self.type, self.value) def __unicode__(self): """ Return a pretty string representation. This reproduces the input source exactly. """ return self.prefix + str(self.value) if sys.version_info > (3, 0): __str__ = __unicode__ def _eq(self, other): """Compare two nodes for equality.""" return (self.type, self.value) == (other.type, other.value) def clone(self): """Return a cloned (deep) copy of self.""" return Leaf(self.type, self.value, (self.prefix, (self.lineno, self.column)), fixers_applied=self.fixers_applied) def leaves(self): yield self def post_order(self): """Return a post-order iterator for the tree.""" yield self def pre_order(self): """Return a pre-order iterator for the tree.""" yield self @property def prefix(self): """ The whitespace and comments preceding this token in the input. """ return self._prefix @prefix.setter def prefix(self, prefix): self.changed() self._prefix = prefix def convert(gr, raw_node): """ Convert raw node information to a Node or Leaf instance. This is passed to the parser driver which calls it whenever a reduction of a grammar rule produces a new complete node, so that the tree is build strictly bottom-up. """ type, value, context, children = raw_node if children or type in gr.number2symbol: # If there's exactly one child, return that child instead of # creating a new node. if len(children) == 1: return children[0] return Node(type, children, context=context) else: return Leaf(type, value, context=context) class BasePattern(object): """ A pattern is a tree matching pattern. It looks for a specific node type (token or symbol), and optionally for a specific content. This is an abstract base class. There are three concrete subclasses: - LeafPattern matches a single leaf node; - NodePattern matches a single node (usually non-leaf); - WildcardPattern matches a sequence of nodes of variable length. """ # Defaults for instance variables type = None # Node type (token if < 256, symbol if >= 256) content = None # Optional content matching pattern name = None # Optional name used to store match in results dict def __new__(cls, *args, **kwds): """Constructor that prevents BasePattern from being instantiated.""" assert cls is not BasePattern, "Cannot instantiate BasePattern" return object.__new__(cls) def __repr__(self): args = [type_repr(self.type), self.content, self.name] while args and args[-1] is None: del args[-1] return "%s(%s)" % (self.__class__.__name__, ", ".join(map(repr, args))) def optimize(self): """ A subclass can define this as a hook for optimizations. Returns either self or another node with the same effect. """ return self def match(self, node, results=None): """ Does this pattern exactly match a node? Returns True if it matches, False if not. If results is not None, it must be a dict which will be updated with the nodes matching named subpatterns. Default implementation for non-wildcard patterns. """ if self.type is not None and node.type != self.type: return False if self.content is not None: r = None if results is not None: r = {} if not self._submatch(node, r): return False if r: results.update(r) if results is not None and self.name: results[self.name] = node return True def match_seq(self, nodes, results=None): """ Does this pattern exactly match a sequence of nodes? Default implementation for non-wildcard patterns. """ if len(nodes) != 1: return False return self.match(nodes[0], results) def generate_matches(self, nodes): """ Generator yielding all matches for this pattern. Default implementation for non-wildcard patterns. """ r = {} if nodes and self.match(nodes[0], r): yield 1, r class LeafPattern(BasePattern): def __init__(self, type=None, content=None, name=None): """ Initializer. Takes optional type, content, and name. The type, if given must be a token type (< 256). If not given, this matches any *leaf* node; the content may still be required. The content, if given, must be a string. If a name is given, the matching node is stored in the results dict under that key. """ if type is not None: assert 0 <= type < 256, type if content is not None: assert isinstance(content, str), repr(content) self.type = type self.content = content self.name = name def match(self, node, results=None): """Override match() to insist on a leaf node.""" if not isinstance(node, Leaf): return False return BasePattern.match(self, node, results) def _submatch(self, node, results=None): """ Match the pattern's content to the node's children. This assumes the node type matches and self.content is not None. Returns True if it matches, False if not. If results is not None, it must be a dict which will be updated with the nodes matching named subpatterns. When returning False, the results dict may still be updated. """ return self.content == node.value class NodePattern(BasePattern): wildcards = False def __init__(self, type=None, content=None, name=None): """ Initializer. Takes optional type, content, and name. The type, if given, must be a symbol type (>= 256). If the type is None this matches *any* single node (leaf or not), except if content is not None, in which it only matches non-leaf nodes that also match the content pattern. The content, if not None, must be a sequence of Patterns that must match the node's children exactly. If the content is given, the type must not be None. If a name is given, the matching node is stored in the results dict under that key. """ if type is not None: assert type >= 256, type if content is not None: assert not isinstance(content, str), repr(content) content = list(content) for i, item in enumerate(content): assert isinstance(item, BasePattern), (i, item) if isinstance(item, WildcardPattern): self.wildcards = True self.type = type self.content = content self.name = name def _submatch(self, node, results=None): """ Match the pattern's content to the node's children. This assumes the node type matches and self.content is not None. Returns True if it matches, False if not. If results is not None, it must be a dict which will be updated with the nodes matching named subpatterns. When returning False, the results dict may still be updated. """ if self.wildcards: for c, r in generate_matches(self.content, node.children): if c == len(node.children): if results is not None: results.update(r) return True return False if len(self.content) != len(node.children): return False for subpattern, child in zip(self.content, node.children): if not subpattern.match(child, results): return False return True class WildcardPattern(BasePattern): """ A wildcard pattern can match zero or more nodes. This has all the flexibility needed to implement patterns like: .* .+ .? .{m,n} (a b c | d e | f) (...)* (...)+ (...)? (...){m,n} except it always uses non-greedy matching. """ def __init__(self, content=None, min=0, max=HUGE, name=None): """ Initializer. Args: content: optional sequence of subsequences of patterns; if absent, matches one node; if present, each subsequence is an alternative [*] min: optional minimum number of times to match, default 0 max: optional maximum number of times to match, default HUGE name: optional name assigned to this match [*] Thus, if content is [[a, b, c], [d, e], [f, g, h]] this is equivalent to (a b c | d e | f g h); if content is None, this is equivalent to '.' in regular expression terms. The min and max parameters work as follows: min=0, max=maxint: .* min=1, max=maxint: .+ min=0, max=1: .? min=1, max=1: . If content is not None, replace the dot with the parenthesized list of alternatives, e.g. (a b c | d e | f g h)* """ assert 0 <= min <= max <= HUGE, (min, max) if content is not None: content = tuple(map(tuple, content)) # Protect against alterations # Check sanity of alternatives assert len(content), repr(content) # Can't have zero alternatives for alt in content: assert len(alt), repr(alt) # Can have empty alternatives self.content = content self.min = min self.max = max self.name = name def optimize(self): """Optimize certain stacked wildcard patterns.""" subpattern = None if (self.content is not None and len(self.content) == 1 and len(self.content[0]) == 1): subpattern = self.content[0][0] if self.min == 1 and self.max == 1: if self.content is None: return NodePattern(name=self.name) if subpattern is not None and self.name == subpattern.name: return subpattern.optimize() if (self.min <= 1 and isinstance(subpattern, WildcardPattern) and subpattern.min <= 1 and self.name == subpattern.name): return WildcardPattern(subpattern.content, self.min*subpattern.min, self.max*subpattern.max, subpattern.name) return self def match(self, node, results=None): """Does this pattern exactly match a node?""" return self.match_seq([node], results) def match_seq(self, nodes, results=None): """Does this pattern exactly match a sequence of nodes?""" for c, r in self.generate_matches(nodes): if c == len(nodes): if results is not None: results.update(r) if self.name: results[self.name] = list(nodes) return True return False def generate_matches(self, nodes): """ Generator yielding matches for a sequence of nodes. Args: nodes: sequence of nodes Yields: (count, results) tuples where: count: the match comprises nodes[:count]; results: dict containing named submatches. """ if self.content is None: # Shortcut for special case (see __init__.__doc__) for count in range(self.min, 1 + min(len(nodes), self.max)): r = {} if self.name: r[self.name] = nodes[:count] yield count, r elif self.name == "bare_name": yield self._bare_name_matches(nodes) else: # The reason for this is that hitting the recursion limit usually # results in some ugly messages about how RuntimeErrors are being # ignored. We only have to do this on CPython, though, because other # implementations don't have this nasty bug in the first place. if hasattr(sys, "getrefcount"): save_stderr = sys.stderr sys.stderr = StringIO() try: for count, r in self._recursive_matches(nodes, 0): if self.name: r[self.name] = nodes[:count] yield count, r except RuntimeError: # Fall back to the iterative pattern matching scheme if the # recursive scheme hits the recursion limit (RecursionError). for count, r in self._iterative_matches(nodes): if self.name: r[self.name] = nodes[:count] yield count, r finally: if hasattr(sys, "getrefcount"): sys.stderr = save_stderr def _iterative_matches(self, nodes): """Helper to iteratively yield the matches.""" nodelen = len(nodes) if 0 >= self.min: yield 0, {} results = [] # generate matches that use just one alt from self.content for alt in self.content: for c, r in generate_matches(alt, nodes): yield c, r results.append((c, r)) # for each match, iterate down the nodes while results: new_results = [] for c0, r0 in results: # stop if the entire set of nodes has been matched if c0 < nodelen and c0 <= self.max: for alt in self.content: for c1, r1 in generate_matches(alt, nodes[c0:]): if c1 > 0: r = {} r.update(r0) r.update(r1) yield c0 + c1, r new_results.append((c0 + c1, r)) results = new_results def _bare_name_matches(self, nodes): """Special optimized matcher for bare_name.""" count = 0 r = {} done = False max = len(nodes) while not done and count < max: done = True for leaf in self.content: if leaf[0].match(nodes[count], r): count += 1 done = False break r[self.name] = nodes[:count] return count, r def _recursive_matches(self, nodes, count): """Helper to recursively yield the matches.""" assert self.content is not None if count >= self.min: yield 0, {} if count < self.max: for alt in self.content: for c0, r0 in generate_matches(alt, nodes): for c1, r1 in self._recursive_matches(nodes[c0:], count+1): r = {} r.update(r0) r.update(r1) yield c0 + c1, r class NegatedPattern(BasePattern): def __init__(self, content=None): """ Initializer. The argument is either a pattern or None. If it is None, this only matches an empty sequence (effectively '$' in regex lingo). If it is not None, this matches whenever the argument pattern doesn't have any matches. """ if content is not None: assert isinstance(content, BasePattern), repr(content) self.content = content def match(self, node): # We never match a node in its entirety return False def match_seq(self, nodes): # We only match an empty sequence of nodes in its entirety return len(nodes) == 0 def generate_matches(self, nodes): if self.content is None: # Return a match if there is an empty sequence if len(nodes) == 0: yield 0, {} else: # Return a match if the argument pattern has no matches for c, r in self.content.generate_matches(nodes): return yield 0, {} def generate_matches(patterns, nodes): """ Generator yielding matches for a sequence of patterns and nodes. Args: patterns: a sequence of patterns nodes: a sequence of nodes Yields: (count, results) tuples where: count: the entire sequence of patterns matches nodes[:count]; results: dict containing named submatches. """ if not patterns: yield 0, {} else: p, rest = patterns[0], patterns[1:] for c0, r0 in p.generate_matches(nodes): if not rest: yield c0, r0 else: for c1, r1 in generate_matches(rest, nodes[c0:]): r = {} r.update(r0) r.update(r1) yield c0 + c1, r pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_2to3/vendor/src/lib2to3/refactor.py000066400000000000000000000655631514162565100324620ustar00rootroot00000000000000# Copyright 2006 Google, Inc. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. """Refactoring framework. Used as a main program, this can refactor any number of files and/or recursively descend down directories. Imported as a module, this provides infrastructure to write your own refactoring tool. """ __author__ = "Guido van Rossum " # Python imports import io import os import pkgutil import sys import logging import operator import collections from itertools import chain # Local imports from .pgen2 import driver, tokenize, token from .fixer_util import find_root from . import pytree, pygram from . import btm_matcher as bm def get_all_fix_names(fixer_pkg, remove_prefix=True): """Return a sorted list of all available fix names in the given package.""" pkg = __import__(fixer_pkg, [], [], ["*"]) fix_names = [] for finder, name, ispkg in pkgutil.iter_modules(pkg.__path__): if name.startswith("fix_"): if remove_prefix: name = name[4:] fix_names.append(name) return fix_names class _EveryNode(Exception): pass def _get_head_types(pat): """ Accepts a pytree Pattern Node and returns a set of the pattern types which will match first. """ if isinstance(pat, (pytree.NodePattern, pytree.LeafPattern)): # NodePatters must either have no type and no content # or a type and content -- so they don't get any farther # Always return leafs if pat.type is None: raise _EveryNode return {pat.type} if isinstance(pat, pytree.NegatedPattern): if pat.content: return _get_head_types(pat.content) raise _EveryNode # Negated Patterns don't have a type if isinstance(pat, pytree.WildcardPattern): # Recurse on each node in content r = set() for p in pat.content: for x in p: r.update(_get_head_types(x)) return r raise Exception("Oh no! I don't understand pattern %s" %(pat)) def _get_headnode_dict(fixer_list): """ Accepts a list of fixers and returns a dictionary of head node type --> fixer list. """ head_nodes = collections.defaultdict(list) every = [] for fixer in fixer_list: if fixer.pattern: try: heads = _get_head_types(fixer.pattern) except _EveryNode: every.append(fixer) else: for node_type in heads: head_nodes[node_type].append(fixer) else: if fixer._accept_type is not None: head_nodes[fixer._accept_type].append(fixer) else: every.append(fixer) for node_type in chain(pygram.python_grammar.symbol2number.values(), pygram.python_grammar.tokens): head_nodes[node_type].extend(every) return dict(head_nodes) def get_fixers_from_package(pkg_name): """ Return the fully qualified names for fixers in the package pkg_name. """ return [pkg_name + "." + fix_name for fix_name in get_all_fix_names(pkg_name, False)] def _identity(obj): return obj def _detect_future_features(source): have_docstring = False gen = tokenize.generate_tokens(io.StringIO(source).readline) def advance(): tok = next(gen) return tok[0], tok[1] ignore = frozenset({token.NEWLINE, tokenize.NL, token.COMMENT}) features = set() try: while True: tp, value = advance() if tp in ignore: continue elif tp == token.STRING: if have_docstring: break have_docstring = True elif tp == token.NAME and value == "from": tp, value = advance() if tp != token.NAME or value != "__future__": break tp, value = advance() if tp != token.NAME or value != "import": break tp, value = advance() if tp == token.OP and value == "(": tp, value = advance() while tp == token.NAME: features.add(value) tp, value = advance() if tp != token.OP or value != ",": break tp, value = advance() else: break except StopIteration: pass return frozenset(features) class FixerError(Exception): """A fixer could not be loaded.""" class RefactoringTool(object): _default_options = {"print_function" : False, "exec_function": False, "write_unchanged_files" : False} CLASS_PREFIX = "Fix" # The prefix for fixer classes FILE_PREFIX = "fix_" # The prefix for modules with a fixer within def __init__(self, fixer_names, options=None, explicit=None): """Initializer. Args: fixer_names: a list of fixers to import options: a dict with configuration. explicit: a list of fixers to run even if they are explicit. """ self.fixers = fixer_names self.explicit = explicit or [] self.options = self._default_options.copy() if options is not None: self.options.update(options) self.grammar = pygram.python_grammar.copy() if self.options['print_function']: del self.grammar.keywords["print"] elif self.options['exec_function']: del self.grammar.keywords["exec"] # When this is True, the refactor*() methods will call write_file() for # files processed even if they were not changed during refactoring. If # and only if the refactor method's write parameter was True. self.write_unchanged_files = self.options.get("write_unchanged_files") self.errors = [] self.logger = logging.getLogger("RefactoringTool") self.fixer_log = [] self.wrote = False self.driver = driver.Driver(self.grammar, convert=pytree.convert, logger=self.logger) self.pre_order, self.post_order = self.get_fixers() self.files = [] # List of files that were or should be modified self.BM = bm.BottomMatcher() self.bmi_pre_order = [] # Bottom Matcher incompatible fixers self.bmi_post_order = [] for fixer in chain(self.post_order, self.pre_order): if fixer.BM_compatible: self.BM.add_fixer(fixer) # remove fixers that will be handled by the bottom-up # matcher elif fixer in self.pre_order: self.bmi_pre_order.append(fixer) elif fixer in self.post_order: self.bmi_post_order.append(fixer) self.bmi_pre_order_heads = _get_headnode_dict(self.bmi_pre_order) self.bmi_post_order_heads = _get_headnode_dict(self.bmi_post_order) def get_fixers(self): """Inspects the options to load the requested patterns and handlers. Returns: (pre_order, post_order), where pre_order is the list of fixers that want a pre-order AST traversal, and post_order is the list that want post-order traversal. """ pre_order_fixers = [] post_order_fixers = [] for fix_mod_path in self.fixers: mod = __import__(fix_mod_path, {}, {}, ["*"]) fix_name = fix_mod_path.rsplit(".", 1)[-1] if fix_name.startswith(self.FILE_PREFIX): fix_name = fix_name[len(self.FILE_PREFIX):] parts = fix_name.split("_") class_name = self.CLASS_PREFIX + "".join([p.title() for p in parts]) try: fix_class = getattr(mod, class_name) except AttributeError: raise FixerError("Can't find %s.%s" % (fix_name, class_name)) from None fixer = fix_class(self.options, self.fixer_log) if fixer.explicit and self.explicit is not True and \ fix_mod_path not in self.explicit: self.log_message("Skipping optional fixer: %s", fix_name) continue self.log_debug("Adding transformation: %s", fix_name) if fixer.order == "pre": pre_order_fixers.append(fixer) elif fixer.order == "post": post_order_fixers.append(fixer) else: raise FixerError("Illegal fixer order: %r" % fixer.order) key_func = operator.attrgetter("run_order") pre_order_fixers.sort(key=key_func) post_order_fixers.sort(key=key_func) return (pre_order_fixers, post_order_fixers) def log_error(self, msg, *args, **kwds): """Called when an error occurs.""" raise def log_message(self, msg, *args): """Hook to log a message.""" if args: msg = msg % args self.logger.info(msg) def log_debug(self, msg, *args): if args: msg = msg % args self.logger.debug(msg) def print_output(self, old_text, new_text, filename, equal): """Called with the old version, new version, and filename of a refactored file.""" pass def refactor(self, items, write=False, doctests_only=False): """Refactor a list of files and directories.""" for dir_or_file in items: if os.path.isdir(dir_or_file): self.refactor_dir(dir_or_file, write, doctests_only) else: self.refactor_file(dir_or_file, write, doctests_only) def refactor_dir(self, dir_name, write=False, doctests_only=False): """Descends down a directory and refactor every Python file found. Python files are assumed to have a .py extension. Files and subdirectories starting with '.' are skipped. """ py_ext = os.extsep + "py" for dirpath, dirnames, filenames in os.walk(dir_name): self.log_debug("Descending into %s", dirpath) dirnames.sort() filenames.sort() for name in filenames: if (not name.startswith(".") and os.path.splitext(name)[1] == py_ext): fullname = os.path.join(dirpath, name) self.refactor_file(fullname, write, doctests_only) # Modify dirnames in-place to remove subdirs with leading dots dirnames[:] = [dn for dn in dirnames if not dn.startswith(".")] def _read_python_source(self, filename): """ Do our best to decode a Python source file correctly. """ try: f = open(filename, "rb") except OSError as err: self.log_error("Can't open %s: %s", filename, err) return None, None try: encoding = tokenize.detect_encoding(f.readline)[0] finally: f.close() with io.open(filename, "r", encoding=encoding, newline='') as f: return f.read(), encoding def refactor_file(self, filename, write=False, doctests_only=False): """Refactors a file.""" input, encoding = self._read_python_source(filename) if input is None: # Reading the file failed. return input += "\n" # Silence certain parse errors if doctests_only: self.log_debug("Refactoring doctests in %s", filename) output = self.refactor_docstring(input, filename) if self.write_unchanged_files or output != input: self.processed_file(output, filename, input, write, encoding) else: self.log_debug("No doctest changes in %s", filename) else: tree = self.refactor_string(input, filename) if self.write_unchanged_files or (tree and tree.was_changed): # The [:-1] is to take off the \n we added earlier self.processed_file(str(tree)[:-1], filename, write=write, encoding=encoding) else: self.log_debug("No changes in %s", filename) def refactor_string(self, data, name): """Refactor a given input string. Args: data: a string holding the code to be refactored. name: a human-readable name for use in error/log messages. Returns: An AST corresponding to the refactored input stream; None if there were errors during the parse. """ features = _detect_future_features(data) if "print_function" in features: self.driver.grammar = pygram.python_grammar_no_print_statement try: tree = self.driver.parse_string(data) except Exception as err: self.log_error("Can't parse %s: %s: %s", name, err.__class__.__name__, err) return finally: self.driver.grammar = self.grammar tree.future_features = features self.log_debug("Refactoring %s", name) self.refactor_tree(tree, name) return tree def refactor_stdin(self, doctests_only=False): input = sys.stdin.read() if doctests_only: self.log_debug("Refactoring doctests in stdin") output = self.refactor_docstring(input, "") if self.write_unchanged_files or output != input: self.processed_file(output, "", input) else: self.log_debug("No doctest changes in stdin") else: tree = self.refactor_string(input, "") if self.write_unchanged_files or (tree and tree.was_changed): self.processed_file(str(tree), "", input) else: self.log_debug("No changes in stdin") def refactor_tree(self, tree, name): """Refactors a parse tree (modifying the tree in place). For compatible patterns the bottom matcher module is used. Otherwise the tree is traversed node-to-node for matches. Args: tree: a pytree.Node instance representing the root of the tree to be refactored. name: a human-readable name for this tree. Returns: True if the tree was modified, False otherwise. """ for fixer in chain(self.pre_order, self.post_order): fixer.start_tree(tree, name) #use traditional matching for the incompatible fixers self.traverse_by(self.bmi_pre_order_heads, tree.pre_order()) self.traverse_by(self.bmi_post_order_heads, tree.post_order()) # obtain a set of candidate nodes match_set = self.BM.run(tree.leaves()) while any(match_set.values()): for fixer in self.BM.fixers: if fixer in match_set and match_set[fixer]: #sort by depth; apply fixers from bottom(of the AST) to top match_set[fixer].sort(key=pytree.Base.depth, reverse=True) if fixer.keep_line_order: #some fixers(eg fix_imports) must be applied #with the original file's line order match_set[fixer].sort(key=pytree.Base.get_lineno) for node in list(match_set[fixer]): if node in match_set[fixer]: match_set[fixer].remove(node) try: find_root(node) except ValueError: # this node has been cut off from a # previous transformation ; skip continue if node.fixers_applied and fixer in node.fixers_applied: # do not apply the same fixer again continue results = fixer.match(node) if results: new = fixer.transform(node, results) if new is not None: node.replace(new) #new.fixers_applied.append(fixer) for node in new.post_order(): # do not apply the fixer again to # this or any subnode if not node.fixers_applied: node.fixers_applied = [] node.fixers_applied.append(fixer) # update the original match set for # the added code new_matches = self.BM.run(new.leaves()) for fxr in new_matches: if not fxr in match_set: match_set[fxr]=[] match_set[fxr].extend(new_matches[fxr]) for fixer in chain(self.pre_order, self.post_order): fixer.finish_tree(tree, name) return tree.was_changed def traverse_by(self, fixers, traversal): """Traverse an AST, applying a set of fixers to each node. This is a helper method for refactor_tree(). Args: fixers: a list of fixer instances. traversal: a generator that yields AST nodes. Returns: None """ if not fixers: return for node in traversal: for fixer in fixers[node.type]: results = fixer.match(node) if results: new = fixer.transform(node, results) if new is not None: node.replace(new) node = new def processed_file(self, new_text, filename, old_text=None, write=False, encoding=None): """ Called when a file has been refactored and there may be changes. """ self.files.append(filename) if old_text is None: old_text = self._read_python_source(filename)[0] if old_text is None: return equal = old_text == new_text self.print_output(old_text, new_text, filename, equal) if equal: self.log_debug("No changes to %s", filename) if not self.write_unchanged_files: return if write: self.write_file(new_text, filename, old_text, encoding) else: self.log_debug("Not writing changes to %s", filename) def write_file(self, new_text, filename, old_text, encoding=None): """Writes a string to a file. It first shows a unified diff between the old text and the new text, and then rewrites the file; the latter is only done if the write option is set. """ try: fp = io.open(filename, "w", encoding=encoding, newline='') except OSError as err: self.log_error("Can't create %s: %s", filename, err) return with fp: try: fp.write(new_text) except OSError as err: self.log_error("Can't write %s: %s", filename, err) self.log_debug("Wrote changes to %s", filename) self.wrote = True PS1 = ">>> " PS2 = "... " def refactor_docstring(self, input, filename): """Refactors a docstring, looking for doctests. This returns a modified version of the input string. It looks for doctests, which start with a ">>>" prompt, and may be continued with "..." prompts, as long as the "..." is indented the same as the ">>>". (Unfortunately we can't use the doctest module's parser, since, like most parsers, it is not geared towards preserving the original source.) """ result = [] block = None block_lineno = None indent = None lineno = 0 for line in input.splitlines(keepends=True): lineno += 1 if line.lstrip().startswith(self.PS1): if block is not None: result.extend(self.refactor_doctest(block, block_lineno, indent, filename)) block_lineno = lineno block = [line] i = line.find(self.PS1) indent = line[:i] elif (indent is not None and (line.startswith(indent + self.PS2) or line == indent + self.PS2.rstrip() + "\n")): block.append(line) else: if block is not None: result.extend(self.refactor_doctest(block, block_lineno, indent, filename)) block = None indent = None result.append(line) if block is not None: result.extend(self.refactor_doctest(block, block_lineno, indent, filename)) return "".join(result) def refactor_doctest(self, block, lineno, indent, filename): """Refactors one doctest. A doctest is given as a block of lines, the first of which starts with ">>>" (possibly indented), while the remaining lines start with "..." (identically indented). """ try: tree = self.parse_block(block, lineno, indent) except Exception as err: if self.logger.isEnabledFor(logging.DEBUG): for line in block: self.log_debug("Source: %s", line.rstrip("\n")) self.log_error("Can't parse docstring in %s line %s: %s: %s", filename, lineno, err.__class__.__name__, err) return block if self.refactor_tree(tree, filename): new = str(tree).splitlines(keepends=True) # Undo the adjustment of the line numbers in wrap_toks() below. clipped, new = new[:lineno-1], new[lineno-1:] assert clipped == ["\n"] * (lineno-1), clipped if not new[-1].endswith("\n"): new[-1] += "\n" block = [indent + self.PS1 + new.pop(0)] if new: block += [indent + self.PS2 + line for line in new] return block def summarize(self): if self.wrote: were = "were" else: were = "need to be" if not self.files: self.log_message("No files %s modified.", were) else: self.log_message("Files that %s modified:", were) for file in self.files: self.log_message(file) if self.fixer_log: self.log_message("Warnings/messages while refactoring:") for message in self.fixer_log: self.log_message(message) if self.errors: if len(self.errors) == 1: self.log_message("There was 1 error:") else: self.log_message("There were %d errors:", len(self.errors)) for msg, args, kwds in self.errors: self.log_message(msg, *args, **kwds) def parse_block(self, block, lineno, indent): """Parses a block into a tree. This is necessary to get correct line number / offset information in the parser diagnostics and embedded into the parse tree. """ tree = self.driver.parse_tokens(self.wrap_toks(block, lineno, indent)) tree.future_features = frozenset() return tree def wrap_toks(self, block, lineno, indent): """Wraps a tokenize stream to systematically modify start/end.""" tokens = tokenize.generate_tokens(self.gen_lines(block, indent).__next__) for type, value, (line0, col0), (line1, col1), line_text in tokens: line0 += lineno - 1 line1 += lineno - 1 # Don't bother updating the columns; this is too complicated # since line_text would also have to be updated and it would # still break for tokens spanning lines. Let the user guess # that the column numbers for doctests are relative to the # end of the prompt string (PS1 or PS2). yield type, value, (line0, col0), (line1, col1), line_text def gen_lines(self, block, indent): """Generates lines as expected by tokenize from a list of lines. This strips the first len(indent + self.PS1) characters off each line. """ prefix1 = indent + self.PS1 prefix2 = indent + self.PS2 prefix = prefix1 for line in block: if line.startswith(prefix): yield line[len(prefix):] elif line == prefix.rstrip() + "\n": yield "\n" else: raise AssertionError("line=%r, prefix=%r" % (line, prefix)) prefix = prefix2 while True: yield "" class MultiprocessingUnsupported(Exception): pass class MultiprocessRefactoringTool(RefactoringTool): def __init__(self, *args, **kwargs): super(MultiprocessRefactoringTool, self).__init__(*args, **kwargs) self.queue = None self.output_lock = None def refactor(self, items, write=False, doctests_only=False, num_processes=1): if num_processes == 1: return super(MultiprocessRefactoringTool, self).refactor( items, write, doctests_only) try: import multiprocessing except ImportError: raise MultiprocessingUnsupported if self.queue is not None: raise RuntimeError("already doing multiple processes") self.queue = multiprocessing.JoinableQueue() self.output_lock = multiprocessing.Lock() processes = [multiprocessing.Process(target=self._child) for i in range(num_processes)] try: for p in processes: p.start() super(MultiprocessRefactoringTool, self).refactor(items, write, doctests_only) finally: self.queue.join() for i in range(num_processes): self.queue.put(None) for p in processes: if p.is_alive(): p.join() self.queue = None def _child(self): task = self.queue.get() while task is not None: args, kwargs = task try: super(MultiprocessRefactoringTool, self).refactor_file( *args, **kwargs) finally: self.queue.task_done() task = self.queue.get() def refactor_file(self, *args, **kwargs): if self.queue is not None: self.queue.put((args, kwargs)) else: return super(MultiprocessRefactoringTool, self).refactor_file( *args, **kwargs) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_argparse/000077500000000000000000000000001514162565100257375ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_argparse/bm_argparse_subparsers.toml000066400000000000000000000004061514162565100333670ustar00rootroot00000000000000[project] name = "pyperformance_bm_argparse" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "argparse_subparsers" extra_opts = ["subparsers"] pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_argparse/pyproject.toml000066400000000000000000000004161514162565100306540ustar00rootroot00000000000000[project] name = "pyperformance_bm_argparse" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "argparse_many_optionals" extra_opts = ["many_optionals"] pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_argparse/run_benchmark.py000066400000000000000000000075311514162565100311350ustar00rootroot00000000000000""" Benchmark argparse programs with: 1) multiple subparsers, each with their own subcommands, and then parse a series of command-line arguments. 2) a large number of optional arguments, and then parse a series of command-line arguments. Author: Savannah Ostrowski """ import argparse import pyperf def generate_arguments(i: int) -> list: arguments = ["input.txt", "output.txt"] for i in range(i): arguments.extend([f"--option{i}", f"value{i}"]) return arguments def bm_many_optionals() -> argparse.ArgumentParser: parser = argparse.ArgumentParser(description="A version control system CLI") parser.add_argument("--version", action="version", version="1.0") subparsers = parser.add_subparsers(dest="command", required=True) add_parser = subparsers.add_parser("add", help="Add a file to the repository") add_parser.add_argument("files", nargs="+", help="List of files to add to staging") commit_parser = subparsers.add_parser( "commit", help="Commit changes to the repository" ) commit_parser.add_argument("-m", "--message", required=True, help="Commit message") commit_group = commit_parser.add_mutually_exclusive_group(required=False) commit_group.add_argument( "--amend", action="store_true", help="Amend the last commit" ) commit_group.add_argument( "--no-edit", action="store_true", help="Reuse the last commit message" ) push_parser = subparsers.add_parser( "push", help="Push changes to remote repository" ) network_group = push_parser.add_argument_group("Network options") network_group.add_argument("--dryrun", action="store_true", help="Simulate changes") network_group.add_argument( "--timeout", type=int, default=30, help="Timeout in seconds" ) auth_group = push_parser.add_argument_group("Authentication options") auth_group.add_argument( "--username", required=True, help="Username for authentication" ) auth_group.add_argument( "--password", required=True, help="Password for authentication" ) global_group = parser.add_mutually_exclusive_group() global_group.add_argument("--verbose", action="store_true", help="Verbose output") global_group.add_argument("--quiet", action="store_true", help="Quiet output") argument_lists = [ ["--verbose", "add", "file1.txt", "file2.txt"], ["add", "file1.txt", "file2.txt"], ["commit", "-m", "Initial commit"], ["commit", "-m", "Add new feature", "--amend"], [ "push", "--dryrun", "--timeout", "60", "--username", "user", "--password", "pass", ], ] for arguments in argument_lists: parser.parse_args(arguments) def bm_subparsers() -> argparse.ArgumentParser: parser = argparse.ArgumentParser() parser.add_argument("input_file", type=str, help="The input file") parser.add_argument("output_file", type=str, help="The output file") for i in range(1000): parser.add_argument(f"--option{i}", type=str, help=f"Optional argument {i}") argument_lists = [ generate_arguments(500), generate_arguments(1000), ] for args in argument_lists: parser.parse_args(args) BENCHMARKS = { "many_optionals": bm_many_optionals, "subparsers": bm_subparsers, } def add_cmdline_args(cmd, args): cmd.append(args.benchmark) def add_parser_args(parser): parser.add_argument("benchmark", choices=BENCHMARKS, help="Which benchmark to run.") if __name__ == "__main__": runner = pyperf.Runner(add_cmdline_args=add_cmdline_args) runner.metadata["description"] = "Argparse benchmark" add_parser_args(runner.argparser) args = runner.parse_args() benchmark = args.benchmark runner.bench_func(args.benchmark, BENCHMARKS[args.benchmark]) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_async_generators/000077500000000000000000000000001514162565100275015ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_async_generators/pyproject.toml000066400000000000000000000004001514162565100324070ustar00rootroot00000000000000[project] name = "pyperformance_bm_async_generators" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "async_generators" tags = "asyncio" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_async_generators/run_benchmark.py000066400000000000000000000021201514162565100326640ustar00rootroot00000000000000""" Benchmark recursive async generators implemented in python by traversing a binary tree. Author: Kumar Aditya """ from __future__ import annotations from collections.abc import AsyncIterator import pyperf class Tree: def __init__(self, left: Tree | None, value: int, right: Tree | None) -> None: self.left = left self.value = value self.right = right async def __aiter__(self) -> AsyncIterator[int]: if self.left: async for i in self.left: yield i yield self.value if self.right: async for i in self.right: yield i def tree(input: range) -> Tree | None: n = len(input) if n == 0: return None i = n // 2 return Tree(tree(input[:i]), input[i], tree(input[i + 1:])) async def bench_async_generators() -> None: async for _ in tree(range(100000)): pass if __name__ == "__main__": runner = pyperf.Runner() runner.metadata['description'] = "Benchmark async generators" runner.bench_async_func('async_generators', bench_async_generators) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_async_tree/000077500000000000000000000000001514162565100262675ustar00rootroot00000000000000bm_async_tree_cpu_io_mixed.toml000066400000000000000000000001241514162565100344400ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_async_tree[tool.pyperformance] name = "async_tree_cpu_io_mixed" extra_opts = ["cpu_io_mixed"] bm_async_tree_cpu_io_mixed_tg.toml000066400000000000000000000002441514162565100351350ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_async_tree[project] requires-python = ">=3.11" dynamic = ["version"] [tool.pyperformance] name = "async_tree_cpu_io_mixed_tg" extra_opts = ["cpu_io_mixed", "--task-groups"] pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_async_tree/bm_async_tree_eager.toml000066400000000000000000000002021514162565100331330ustar00rootroot00000000000000[project] requires-python = ">=3.12" dynamic = ["version"] [tool.pyperformance] name = "async_tree_eager" extra_opts = ["eager"] bm_async_tree_eager_cpu_io_mixed.toml000066400000000000000000000002341514162565100356050ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_async_tree[project] requires-python = ">=3.12" dynamic = ["version"] [tool.pyperformance] name = "async_tree_eager_cpu_io_mixed" extra_opts = ["eager_cpu_io_mixed"] bm_async_tree_eager_cpu_io_mixed_tg.toml000066400000000000000000000002601514162565100362760ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_async_tree[project] requires-python = ">=3.12" dynamic = ["version"] [tool.pyperformance] name = "async_tree_eager_cpu_io_mixed_tg" extra_opts = ["eager_cpu_io_mixed", "--task-groups"] pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_async_tree/bm_async_tree_eager_io.toml000066400000000000000000000002101514162565100336210ustar00rootroot00000000000000[project] requires-python = ">=3.12" dynamic = ["version"] [tool.pyperformance] name = "async_tree_eager_io" extra_opts = ["eager_io"] bm_async_tree_eager_io_tg.toml000066400000000000000000000002341514162565100342420ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_async_tree[project] requires-python = ">=3.12" dynamic = ["version"] [tool.pyperformance] name = "async_tree_eager_io_tg" extra_opts = ["eager_io", "--task-groups"] bm_async_tree_eager_memoization.toml000066400000000000000000000002321514162565100354720ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_async_tree[project] requires-python = ">=3.12" dynamic = ["version"] [tool.pyperformance] name = "async_tree_eager_memoization" extra_opts = ["eager_memoization"] bm_async_tree_eager_memoization_tg.toml000066400000000000000000000002561514162565100361720ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_async_tree[project] requires-python = ">=3.12" dynamic = ["version"] [tool.pyperformance] name = "async_tree_eager_memoization_tg" extra_opts = ["eager_memoization", "--task-groups"] pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_async_tree/bm_async_tree_eager_tg.toml000066400000000000000000000002261514162565100336330ustar00rootroot00000000000000[project] requires-python = ">=3.12" dynamic = ["version"] [tool.pyperformance] name = "async_tree_eager_tg" extra_opts = ["eager", "--task-groups"] pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_async_tree/bm_async_tree_io.toml000066400000000000000000000001001514162565100324540ustar00rootroot00000000000000[tool.pyperformance] name = "async_tree_io" extra_opts = ["io"] pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_async_tree/bm_async_tree_io_tg.toml000066400000000000000000000002201514162565100331510ustar00rootroot00000000000000[project] requires-python = ">=3.11" dynamic = ["version"] [tool.pyperformance] name = "async_tree_io_tg" extra_opts = ["io", "--task-groups"] bm_async_tree_memoization.toml000066400000000000000000000001221514162565100343250ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_async_tree[tool.pyperformance] name = "async_tree_memoization" extra_opts = ["memoization"] bm_async_tree_memoization_tg.toml000066400000000000000000000002421514162565100350220ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_async_tree[project] requires-python = ">=3.11" dynamic = ["version"] [tool.pyperformance] name = "async_tree_memoization_tg" extra_opts = ["memoization", "--task-groups"] pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_async_tree/bm_async_tree_tg.toml000066400000000000000000000002171514162565100324700ustar00rootroot00000000000000[project] requires-python = ">=3.11" dynamic = ["version"] [tool.pyperformance] name = "async_tree_tg" extra_opts = ["none", "--task-groups"] pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_async_tree/pyproject.toml000066400000000000000000000004121514162565100312000ustar00rootroot00000000000000[project] name = "pyperformance_bm_async_tree" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "async_tree" tags = "asyncio" extra_opts = ["none"] pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_async_tree/run_benchmark.py000066400000000000000000000135661514162565100314720ustar00rootroot00000000000000""" Benchmark for async tree workload, which calls asyncio.gather() on a tree (6 levels deep, 6 branches per level) with the leaf nodes simulating some (potentially) async work (depending on the benchmark variant). Benchmark variants include: 1) "none": No actual async work in the async tree. 2) "io": All leaf nodes simulate async IO workload (async sleep 50ms). 3) "memoization": All leaf nodes simulate async IO workload with 90% of the data memoized 4) "cpu_io_mixed": Half of the leaf nodes simulate CPU-bound workload and the other half simulate the same workload as the "memoization" variant. All variants also have an "eager" flavor that uses the asyncio eager task factory (if available), and a "tg" variant that uses TaskGroups. """ import asyncio import math import random import pyperf NUM_RECURSE_LEVELS = 6 NUM_RECURSE_BRANCHES = 6 RANDOM_SEED = 0 IO_SLEEP_TIME = 0.05 MEMOIZABLE_PERCENTAGE = 90 CPU_PROBABILITY = 0.5 FACTORIAL_N = 500 class AsyncTree: def __init__(self, use_task_groups=False): self.cache = {} self.use_task_groups = use_task_groups # set to deterministic random, so that the results are reproducible random.seed(RANDOM_SEED) async def mock_io_call(self): await asyncio.sleep(IO_SLEEP_TIME) async def workload_func(self): raise NotImplementedError( "To be implemented by each variant's derived class." ) async def recurse_with_gather(self, recurse_level): if recurse_level == 0: await self.workload_func() return await asyncio.gather( *[self.recurse_with_gather(recurse_level - 1) for _ in range(NUM_RECURSE_BRANCHES)] ) async def recurse_with_task_group(self, recurse_level): if recurse_level == 0: await self.workload_func() return async with asyncio.TaskGroup() as tg: for _ in range(NUM_RECURSE_BRANCHES): tg.create_task( self.recurse_with_task_group(recurse_level - 1)) async def run(self): if self.use_task_groups: await self.recurse_with_task_group(NUM_RECURSE_LEVELS) else: await self.recurse_with_gather(NUM_RECURSE_LEVELS) class EagerMixin: async def run(self): loop = asyncio.get_running_loop() if hasattr(asyncio, 'eager_task_factory'): loop.set_task_factory(asyncio.eager_task_factory) return await super().run() class NoneAsyncTree(AsyncTree): async def workload_func(self): return class EagerAsyncTree(EagerMixin, NoneAsyncTree): pass class IOAsyncTree(AsyncTree): async def workload_func(self): await self.mock_io_call() class EagerIOAsyncTree(EagerMixin, IOAsyncTree): pass class MemoizationAsyncTree(AsyncTree): async def workload_func(self): # deterministic random, seed set in AsyncTree.__init__() data = random.randint(1, 100) if data <= MEMOIZABLE_PERCENTAGE: if self.cache.get(data): return data self.cache[data] = True await self.mock_io_call() return data class EagerMemoizationAsyncTree(EagerMixin, MemoizationAsyncTree): pass class CpuIoMixedAsyncTree(MemoizationAsyncTree): async def workload_func(self): # deterministic random, seed set in AsyncTree.__init__() if random.random() < CPU_PROBABILITY: # mock cpu-bound call return math.factorial(FACTORIAL_N) else: return await MemoizationAsyncTree.workload_func(self) class EagerCpuIoMixedAsyncTree(EagerMixin, CpuIoMixedAsyncTree): pass def add_metadata(runner): runner.metadata["description"] = "Async tree workloads." runner.metadata["async_tree_recurse_levels"] = NUM_RECURSE_LEVELS runner.metadata["async_tree_recurse_branches"] = NUM_RECURSE_BRANCHES runner.metadata["async_tree_random_seed"] = RANDOM_SEED runner.metadata["async_tree_io_sleep_time"] = IO_SLEEP_TIME runner.metadata["async_tree_memoizable_percentage"] = MEMOIZABLE_PERCENTAGE runner.metadata["async_tree_cpu_probability"] = CPU_PROBABILITY runner.metadata["async_tree_factorial_n"] = FACTORIAL_N def add_cmdline_args(cmd, args): cmd.append(args.benchmark) if args.task_groups: cmd.append("--task-groups") def add_parser_args(parser): parser.add_argument( "benchmark", choices=BENCHMARKS, help="""\ Determines which benchmark to run. Options: 1) "none": No actual async work in the async tree. 2) "io": All leaf nodes simulate async IO workload (async sleep 50ms). 3) "memoization": All leaf nodes simulate async IO workload with 90%% of the data memoized 4) "cpu_io_mixed": Half of the leaf nodes simulate CPU-bound workload and the other half simulate the same workload as the "memoization" variant. """, ) parser.add_argument( "--task-groups", action="store_true", default=False, help="Use TaskGroups instead of gather.", ) BENCHMARKS = { "none": NoneAsyncTree, "eager": EagerAsyncTree, "io": IOAsyncTree, "eager_io": EagerIOAsyncTree, "memoization": MemoizationAsyncTree, "eager_memoization": EagerMemoizationAsyncTree, "cpu_io_mixed": CpuIoMixedAsyncTree, "eager_cpu_io_mixed": EagerCpuIoMixedAsyncTree, } if __name__ == "__main__": runner = pyperf.Runner(add_cmdline_args=add_cmdline_args) add_metadata(runner) add_parser_args(runner.argparser) args = runner.parse_args() benchmark = args.benchmark async_tree_class = BENCHMARKS[benchmark] async_tree = async_tree_class(use_task_groups=args.task_groups) bench_name = f"async_tree_{benchmark}" if args.task_groups: bench_name += "_tg" runner.bench_async_func(bench_name, async_tree.run) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_asyncio_tcp/000077500000000000000000000000001514162565100264465ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_asyncio_tcp/bm_asyncio_tcp_ssl.toml000066400000000000000000000001051514162565100332110ustar00rootroot00000000000000[tool.pyperformance] name = "asyncio_tcp_ssl" extra_opts = ["--ssl"] pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_asyncio_tcp/pyproject.toml000066400000000000000000000003661514162565100313670ustar00rootroot00000000000000[project] name = "pyperformance_bm_asyncio_tcp" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "asyncio_tcp" tags = "asyncio" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_asyncio_tcp/run_benchmark.py000066400000000000000000000041471514162565100316440ustar00rootroot00000000000000""" Benchmark for asyncio TCP server and client performance transferring 10MB of data. Author: Kumar Aditya """ import asyncio from pyperf import Runner import ssl import os CHUNK_SIZE = 1024 ** 2 * 10 # Taken from CPython's test suite SSL_CERT = os.path.join(os.path.dirname(__file__), 'ssl_cert.pem') SSL_KEY = os.path.join(os.path.dirname(__file__), 'ssl_key.pem') async def handle_echo(reader: asyncio.StreamReader, writer: asyncio.StreamWriter) -> None: data = b'x' * CHUNK_SIZE for _ in range(100): writer.write(data) await writer.drain() writer.close() await writer.wait_closed() async def main(use_ssl: bool) -> None: if use_ssl: server_context = ssl.SSLContext(ssl.PROTOCOL_TLS_SERVER) server_context.load_cert_chain(SSL_CERT, SSL_KEY) server_context.check_hostname = False server_context.verify_mode = ssl.CERT_NONE client_context = ssl.SSLContext(ssl.PROTOCOL_TLS_CLIENT) client_context.load_cert_chain(SSL_CERT, SSL_KEY) client_context.check_hostname = False client_context.verify_mode = ssl.CERT_NONE else: server_context = None client_context = None server = await asyncio.start_server(handle_echo, '127.0.0.1', 8882, ssl=server_context) async with server: asyncio.create_task(server.start_serving()) reader, writer = await asyncio.open_connection('127.0.0.1', 8882, ssl=client_context) data_len = 0 while True: data = await reader.read(CHUNK_SIZE) if not data: break data_len += len(data) assert data_len == CHUNK_SIZE * 100 writer.close() await writer.wait_closed() def add_cmdline_args(cmd, args): if args.ssl: cmd.append("--ssl") if __name__ == '__main__': runner = Runner(add_cmdline_args=add_cmdline_args) parser = runner.argparser parser.add_argument('--ssl', action='store_true', default=False) args = runner.parse_args() name = 'asyncio_tcp' + ('_ssl' if args.ssl else '') runner.bench_async_func(name, main, args.ssl) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_asyncio_tcp/ssl_cert.pem000066400000000000000000000030421514162565100307660ustar00rootroot00000000000000-----BEGIN CERTIFICATE----- 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"asyncio"pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_asyncio_websockets/requirements.txt000066400000000000000000000000221514162565100333070ustar00rootroot00000000000000websockets==11.0.3pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_asyncio_websockets/run_benchmark.py000066400000000000000000000020721514162565100332220ustar00rootroot00000000000000""" Benchmark for asyncio websocket server and client performance transferring 1MB of data. Author: Kumar Aditya """ import pyperf import websockets.server import websockets.client import websockets.exceptions import asyncio CHUNK_SIZE = 1024 ** 2 DATA = b"x" * CHUNK_SIZE stop: asyncio.Event async def handler(websocket) -> None: for _ in range(100): await websocket.recv() stop.set() async def send(ws): try: await ws.send(DATA) except websockets.exceptions.ConnectionClosedOK: pass async def main() -> None: global stop t0 = pyperf.perf_counter() stop = asyncio.Event() async with websockets.server.serve(handler, "", 8001): async with websockets.client.connect("ws://localhost:8001") as ws: await asyncio.gather(*[send(ws) for _ in range(100)]) await stop.wait() return pyperf.perf_counter() - t0 if __name__ == "__main__": runner = pyperf.Runner() runner.metadata['description'] = "Benchmark asyncio websockets" runner.bench_async_func('asyncio_websockets', main) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_barnes_hut/000077500000000000000000000000001514162565100262655ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_barnes_hut/pyproject.toml000066400000000000000000000003611514162565100312010ustar00rootroot00000000000000[project] name = "pyperformance_bm_barnes_hut" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "barnes_hut" tags = "math" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_barnes_hut/run_benchmark.py000066400000000000000000000323761514162565100314700ustar00rootroot00000000000000""" Quadtree N-body benchmark using the pyperf framework. This benchmark simulates gravitational interactions between particles using a quadtree for spatial partitioning and the Barnes-Hut approximation algorithm. No visualization, pure Python implementation without dependencies. """ import pyperf import math DEFAULT_ITERATIONS = 100 DEFAULT_PARTICLES = 200 DEFAULT_THETA = 0.5 # Constants G = 6.67430e-11 # Gravitational constant SOFTENING = 5.0 # Softening parameter to avoid singularities TIME_STEP = 0.1 # Time step for simulation class Point: def __init__(self, x, y): self.x = x self.y = y class Particle: def __init__(self, x, y, mass=1.0): self.position = Point(x, y) self.velocity = Point(0, 0) self.acceleration = Point(0, 0) self.mass = mass def update(self, time_step): # Update velocity using current acceleration self.velocity.x += self.acceleration.x * time_step self.velocity.y += self.acceleration.y * time_step # Update position using updated velocity self.position.x += self.velocity.x * time_step self.position.y += self.velocity.y * time_step # Reset acceleration for next frame self.acceleration.x = 0 self.acceleration.y = 0 def apply_force(self, fx, fy): # F = ma -> a = F/m self.acceleration.x += fx / self.mass self.acceleration.y += fy / self.mass class Rectangle: def __init__(self, x, y, w, h): self.x = x self.y = y self.w = w self.h = h def contains(self, point): return ( point.x >= self.x - self.w and point.x < self.x + self.w and point.y >= self.y - self.h and point.y < self.y + self.h ) def intersects(self, range_rect): return not ( range_rect.x - range_rect.w > self.x + self.w or range_rect.x + range_rect.w < self.x - self.w or range_rect.y - range_rect.h > self.y + self.h or range_rect.y + range_rect.h < self.y - self.h ) class QuadTree: def __init__(self, boundary, capacity=4): self.boundary = boundary self.capacity = capacity self.particles = [] self.divided = False self.center_of_mass = Point(0, 0) self.total_mass = 0 self.northeast = None self.northwest = None self.southeast = None self.southwest = None def insert(self, particle): if not self.boundary.contains(particle.position): return False if len(self.particles) < self.capacity and not self.divided: self.particles.append(particle) self.update_mass_distribution(particle) return True if not self.divided: self.subdivide() if self.northeast.insert(particle): return True if self.northwest.insert(particle): return True if self.southeast.insert(particle): return True if self.southwest.insert(particle): return True # This should never happen if the boundary check is correct return False def update_mass_distribution(self, particle): # Update center of mass and total mass when adding a particle total_mass_new = self.total_mass + particle.mass # Calculate new center of mass if total_mass_new > 0: self.center_of_mass.x = (self.center_of_mass.x * self.total_mass + particle.position.x * particle.mass) / total_mass_new self.center_of_mass.y = (self.center_of_mass.y * self.total_mass + particle.position.y * particle.mass) / total_mass_new self.total_mass = total_mass_new def subdivide(self): x = self.boundary.x y = self.boundary.y w = self.boundary.w / 2 h = self.boundary.h / 2 ne = Rectangle(x + w, y - h, w, h) self.northeast = QuadTree(ne, self.capacity) nw = Rectangle(x - w, y - h, w, h) self.northwest = QuadTree(nw, self.capacity) se = Rectangle(x + w, y + h, w, h) self.southeast = QuadTree(se, self.capacity) sw = Rectangle(x - w, y + h, w, h) self.southwest = QuadTree(sw, self.capacity) self.divided = True # Redistribute particles to children for particle in self.particles: self.northeast.insert(particle) self.northwest.insert(particle) self.southeast.insert(particle) self.southwest.insert(particle) # Clear the particles at this node self.particles = [] def calculate_force(self, particle, theta): if self.total_mass == 0: return 0, 0 # If this is an external node (leaf with one particle) and it's the same particle, skip if len(self.particles) == 1 and self.particles[0] == particle: return 0, 0 # Calculate distance between particle and center of mass dx = self.center_of_mass.x - particle.position.x dy = self.center_of_mass.y - particle.position.y distance = math.sqrt(dx*dx + dy*dy) # If this is a leaf node or the distance is sufficient for approximation if not self.divided or (self.boundary.w * 2) / distance < theta: # Avoid division by zero and extreme forces at small distances if distance < SOFTENING: distance = SOFTENING # Calculate gravitational force f = G * particle.mass * self.total_mass / (distance * distance) # Resolve force into x and y components fx = f * dx / distance fy = f * dy / distance return fx, fy # Otherwise, recursively calculate forces from children fx, fy = 0, 0 if self.northeast: fx_ne, fy_ne = self.northeast.calculate_force(particle, theta) fx += fx_ne fy += fy_ne if self.northwest: fx_nw, fy_nw = self.northwest.calculate_force(particle, theta) fx += fx_nw fy += fy_nw if self.southeast: fx_se, fy_se = self.southeast.calculate_force(particle, theta) fx += fx_se fy += fy_se if self.southwest: fx_sw, fy_sw = self.southwest.calculate_force(particle, theta) fx += fx_sw fy += fy_sw return fx, fy def create_deterministic_galaxy(num_particles, center_x, center_y, radius=300, spiral_factor=0.1): """Create a deterministic galaxy-like distribution of particles""" particles = [] # Create central bulge (30% of particles) bulge_count = int(num_particles * 0.3) for i in range(bulge_count): # Use deterministic distribution for the bulge # Distribute in a spiral pattern from center distance_factor = i / bulge_count r = radius / 5 * distance_factor angle = 2 * math.pi * i / bulge_count * 7 # 7 rotations for central bulge x = center_x + r * math.cos(angle) y = center_y + r * math.sin(angle) # Deterministic mass values mass = 50 + (50 * (1 - distance_factor)) particle = Particle(x, y, mass) particles.append(particle) # Create spiral arms (70% of particles) spiral_count = num_particles - bulge_count arms = 2 # Number of spiral arms particles_per_arm = spiral_count // arms for arm in range(arms): base_angle = 2 * math.pi * arm / arms for i in range(particles_per_arm): # Distance from center (linearly distributed from inner to outer radius) distance_factor = i / particles_per_arm distance = radius * (0.2 + 0.8 * distance_factor) # Spiral angle based on distance from center angle = base_angle + spiral_factor * distance # Deterministic variation variation = 0.2 * math.sin(i * 0.1) angle += variation x = center_x + distance * math.cos(angle) y = center_y + distance * math.sin(angle) # Deterministic mass values mass = 1 + 9 * (1 - distance_factor) particle = Particle(x, y, mass) particles.append(particle) # Remaining particles (if odd number doesn't divide evenly into arms) remaining = spiral_count - (particles_per_arm * arms) for i in range(remaining): angle = 2 * math.pi * i / remaining distance = radius * 0.5 x = center_x + distance * math.cos(angle) y = center_y + distance * math.sin(angle) particle = Particle(x, y, 5.0) # Fixed mass particles.append(particle) # Add deterministic initial orbital velocities for p in particles: # Vector from center to particle dx = p.position.x - center_x dy = p.position.y - center_y distance = math.sqrt(dx*dx + dy*dy) if distance > 0: # Direction perpendicular to radial direction perp_x = -dy / distance perp_y = dx / distance # Orbital velocity (approximating balanced centripetal force) orbital_velocity = math.sqrt(0.1 * (distance + 100)) * 0.3 p.velocity.x = perp_x * orbital_velocity p.velocity.y = perp_y * orbital_velocity return particles def calculate_system_energy(particles): """Calculate the total energy of the system (kinetic + potential)""" energy = 0.0 # Calculate potential energy for i in range(len(particles)): for j in range(i + 1, len(particles)): p1 = particles[i] p2 = particles[j] dx = p1.position.x - p2.position.x dy = p1.position.y - p2.position.y distance = math.sqrt(dx*dx + dy*dy) # Avoid division by zero if distance < SOFTENING: distance = SOFTENING # Gravitational potential energy energy -= G * p1.mass * p2.mass / distance # Calculate kinetic energy for p in particles: v_squared = p.velocity.x * p.velocity.x + p.velocity.y * p.velocity.y energy += 0.5 * p.mass * v_squared return energy def advance_system(particles, theta, time_step, width, height): """Advance the n-body system by one time step using the quadtree""" # Create a fresh quadtree boundary = Rectangle(width / 2, height / 2, width / 2, height / 2) quadtree = QuadTree(boundary) # Insert all particles into the quadtree for particle in particles: quadtree.insert(particle) # Calculate and apply forces to all particles for particle in particles: fx, fy = quadtree.calculate_force(particle, theta) particle.apply_force(fx, fy) # Update all particles for particle in particles: particle.update(time_step) def bench_quadtree_nbody(loops, num_particles, iterations, theta): # Initialize simulation space width = 1000 height = 800 # Create deterministic galaxy distribution particles = create_deterministic_galaxy(num_particles, width / 2, height / 2) # Calculate initial energy initial_energy = calculate_system_energy(particles) range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: # Run simulation for specified iterations for _ in range(iterations): advance_system(particles, theta, TIME_STEP, width, height) # Calculate final energy final_energy = calculate_system_energy(particles) return pyperf.perf_counter() - t0 def add_cmdline_args(cmd, args): cmd.extend(("--iterations", str(args.iterations))) cmd.extend(("--particles", str(args.particles))) cmd.extend(("--theta", str(args.theta))) if __name__ == '__main__': runner = pyperf.Runner(add_cmdline_args=add_cmdline_args) runner.metadata['description'] = "Quadtree N-body benchmark" runner.argparser.add_argument("--iterations", type=int, default=DEFAULT_ITERATIONS, help="Number of simulation steps per benchmark loop " "(default: %s)" % DEFAULT_ITERATIONS) runner.argparser.add_argument("--particles", type=int, default=DEFAULT_PARTICLES, help="Number of particles in the simulation " "(default: %s)" % DEFAULT_PARTICLES) runner.argparser.add_argument("--theta", type=float, default=DEFAULT_THETA, help="Barnes-Hut approximation threshold " "(default: %s)" % DEFAULT_THETA) args = runner.parse_args() runner.bench_time_func('quadtree_nbody', bench_quadtree_nbody, args.particles, args.iterations, args.theta) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_base64/000077500000000000000000000000001514162565100252175ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_base64/pyproject.toml000066400000000000000000000003561514162565100301370ustar00rootroot00000000000000[project] name = "pyperformance_bm_base64" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "base64" tags = "serialize" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_base64/run_benchmark.py000066400000000000000000000213731514162565100304150ustar00rootroot00000000000000"""Benchmark for the base64 module's primary public APIs. Tests encoding and decoding performance across various variants and data sizes, split into _small (balanced small data) and _large variants. Small weighs towards measuring overhead, large measures the core algorithm loop implementation. """ import base64 import random import pyperf # Generate test data with a fixed seed for reproducibility random.seed(12345) DATA_TINY = random.randbytes(20) DATA_SMALL = random.randbytes(127) # odd on purpose DATA_MEDIUM = random.randbytes(3072) DATA_9K = random.randbytes(9000) DATA_LARGE = random.randbytes(102400) DATA_HUGE = random.randbytes(1048574) # 1M-2 # Pre-encoded data for decode benchmarks B64_TINY = base64.b64encode(DATA_TINY) B64_SMALL = base64.b64encode(DATA_SMALL) B64_MEDIUM = base64.b64encode(DATA_MEDIUM) B64_9K_STR = base64.b64encode(DATA_9K).decode('ascii') B64_LARGE = base64.b64encode(DATA_LARGE) B64_HUGE = base64.b64encode(DATA_HUGE) B64_URLSAFE_TINY = base64.urlsafe_b64encode(DATA_TINY) B64_URLSAFE_SMALL = base64.urlsafe_b64encode(DATA_SMALL) B64_URLSAFE_MEDIUM = base64.urlsafe_b64encode(DATA_MEDIUM) B64_URLSAFE_9K_STR = base64.urlsafe_b64encode(DATA_9K).decode('ascii') B32_TINY = base64.b32encode(DATA_TINY) B32_SMALL = base64.b32encode(DATA_SMALL) B32_MEDIUM = base64.b32encode(DATA_MEDIUM) B32_9K_STR = base64.b32encode(DATA_9K).decode('ascii') B32_LARGE = base64.b32encode(DATA_LARGE) B32_HUGE = base64.b32encode(DATA_HUGE) B16_TINY = base64.b16encode(DATA_TINY) B16_SMALL = base64.b16encode(DATA_SMALL) B16_MEDIUM = base64.b16encode(DATA_MEDIUM) B16_9K_STR = base64.b16encode(DATA_9K).decode('ascii') B16_LARGE = base64.b16encode(DATA_LARGE) B16_HUGE = base64.b16encode(DATA_HUGE) A85_TINY = base64.a85encode(DATA_TINY) A85_SMALL = base64.a85encode(DATA_SMALL) A85_MEDIUM = base64.a85encode(DATA_MEDIUM) A85_9K_STR = base64.a85encode(DATA_9K).decode('ascii') A85_LARGE = base64.a85encode(DATA_LARGE) A85_HUGE = base64.a85encode(DATA_HUGE) B85_TINY = base64.b85encode(DATA_TINY) B85_SMALL = base64.b85encode(DATA_SMALL) B85_MEDIUM = base64.b85encode(DATA_MEDIUM) B85_9K_STR = base64.b85encode(DATA_9K).decode('ascii') B85_LARGE = base64.b85encode(DATA_LARGE) B85_HUGE = base64.b85encode(DATA_HUGE) # --- Base64 --- def bench_b64_small(loops): range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: for _ in range(450): base64.b64encode(DATA_TINY) base64.b64decode(B64_TINY) for _ in range(71): base64.b64encode(DATA_SMALL) base64.b64decode(B64_SMALL) for _ in range(3): base64.b64encode(DATA_MEDIUM) base64.b64decode(B64_MEDIUM) base64.b64encode(DATA_9K) base64.b64decode(B64_9K_STR) return pyperf.perf_counter() - t0 def bench_b64_large(loops): range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: for _ in range(10): base64.b64encode(DATA_LARGE) base64.b64decode(B64_LARGE) base64.b64encode(DATA_HUGE) base64.b64decode(B64_HUGE) return pyperf.perf_counter() - t0 # --- URL-safe Base64 (small only) --- def bench_urlsafe_b64_small(loops): range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: for _ in range(450): base64.urlsafe_b64encode(DATA_TINY) base64.urlsafe_b64decode(B64_URLSAFE_TINY) for _ in range(71): base64.urlsafe_b64encode(DATA_SMALL) base64.urlsafe_b64decode(B64_URLSAFE_SMALL) for _ in range(3): base64.urlsafe_b64encode(DATA_MEDIUM) base64.urlsafe_b64decode(B64_URLSAFE_MEDIUM) base64.urlsafe_b64encode(DATA_9K) base64.urlsafe_b64decode(B64_URLSAFE_9K_STR) return pyperf.perf_counter() - t0 # --- Base32 --- def bench_b32_small(loops): range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: for _ in range(450): base64.b32encode(DATA_TINY) base64.b32decode(B32_TINY) for _ in range(71): base64.b32encode(DATA_SMALL) base64.b32decode(B32_SMALL) for _ in range(3): base64.b32encode(DATA_MEDIUM) base64.b32decode(B32_MEDIUM) base64.b32encode(DATA_9K) base64.b32decode(B32_9K_STR) return pyperf.perf_counter() - t0 def bench_b32_large(loops): range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: for _ in range(10): base64.b32encode(DATA_LARGE) base64.b32decode(B32_LARGE) base64.b32encode(DATA_HUGE) base64.b32decode(B32_HUGE) return pyperf.perf_counter() - t0 # --- Base16 --- def bench_b16_small(loops): range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: for _ in range(450): base64.b16encode(DATA_TINY) base64.b16decode(B16_TINY) for _ in range(71): base64.b16encode(DATA_SMALL) base64.b16decode(B16_SMALL) for _ in range(3): base64.b16encode(DATA_MEDIUM) base64.b16decode(B16_MEDIUM) base64.b16encode(DATA_9K) base64.b16decode(B16_9K_STR) return pyperf.perf_counter() - t0 def bench_b16_large(loops): range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: for _ in range(10): base64.b16encode(DATA_LARGE) base64.b16decode(B16_LARGE) base64.b16encode(DATA_HUGE) base64.b16decode(B16_HUGE) return pyperf.perf_counter() - t0 # --- Ascii85 (includes wrapcol=76) --- def bench_a85_small(loops): range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: for _ in range(450): base64.a85encode(DATA_TINY) base64.a85encode(DATA_TINY, wrapcol=76) base64.a85decode(A85_TINY) base64.a85decode(A85_TINY) # balance enc+dec weight for _ in range(71): base64.a85encode(DATA_SMALL) base64.a85encode(DATA_SMALL, wrapcol=76) base64.a85decode(A85_SMALL) base64.a85decode(A85_SMALL) # balance enc+dec weight for _ in range(3): base64.a85encode(DATA_MEDIUM) base64.a85encode(DATA_MEDIUM, wrapcol=76) base64.a85decode(A85_MEDIUM) base64.a85decode(A85_MEDIUM) # balance enc+dec weight base64.a85encode(DATA_9K) base64.a85encode(DATA_9K, wrapcol=76) base64.a85decode(A85_9K_STR) base64.a85decode(A85_9K_STR) # balance enc+dec weight return pyperf.perf_counter() - t0 def bench_a85_large(loops): range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: for _ in range(10): base64.a85encode(DATA_LARGE) base64.a85encode(DATA_LARGE, wrapcol=76) base64.a85decode(A85_LARGE) base64.a85decode(A85_LARGE) # balance enc+dec weight base64.a85encode(DATA_HUGE) base64.a85encode(DATA_HUGE, wrapcol=76) base64.a85decode(A85_HUGE) base64.a85decode(A85_HUGE) # balance enc+dec weight return pyperf.perf_counter() - t0 # --- Base85 --- def bench_b85_small(loops): range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: for _ in range(450): base64.b85encode(DATA_TINY) base64.b85decode(B85_TINY) for _ in range(71): base64.b85encode(DATA_SMALL) base64.b85decode(B85_SMALL) for _ in range(3): base64.b85encode(DATA_MEDIUM) base64.b85decode(B85_MEDIUM) base64.b85encode(DATA_9K) base64.b85decode(B85_9K_STR) return pyperf.perf_counter() - t0 def bench_b85_large(loops): range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: for _ in range(10): base64.b85encode(DATA_LARGE) base64.b85decode(B85_LARGE) base64.b85encode(DATA_HUGE) base64.b85decode(B85_HUGE) return pyperf.perf_counter() - t0 if __name__ == "__main__": runner = pyperf.Runner() runner.metadata['description'] = "Benchmark base64 module encoding/decoding" runner.bench_time_func('base64_small', bench_b64_small) runner.bench_time_func('base64_large', bench_b64_large) runner.bench_time_func('urlsafe_base64_small', bench_urlsafe_b64_small) runner.bench_time_func('base32_small', bench_b32_small) runner.bench_time_func('base32_large', bench_b32_large) runner.bench_time_func('base16_small', bench_b16_small) runner.bench_time_func('base16_large', bench_b16_large) runner.bench_time_func('ascii85_small', bench_a85_small) runner.bench_time_func('ascii85_large', bench_a85_large) runner.bench_time_func('base85_small', bench_b85_small) runner.bench_time_func('base85_large', bench_b85_large) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_bpe_tokeniser/000077500000000000000000000000001514162565100267645ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_bpe_tokeniser/data/000077500000000000000000000000001514162565100276755ustar00rootroot00000000000000frankenstein_intro.txt000066400000000000000000000747461514162565100343030ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_bpe_tokeniser/dataLetter 1 To Mrs. Saville, England. St. Petersburgh, Dec. 11th, 17—. You will rejoice to hear that no disaster has accompanied the commencement of an enterprise which you have regarded with such evil forebodings. I arrived here yesterday, and my first task is to assure my dear sister of my welfare and increasing confidence in the success of my undertaking. I am already far north of London, and as I walk in the streets of Petersburgh, I feel a cold northern breeze play upon my cheeks, which braces my nerves and fills me with delight. Do you understand this feeling? This breeze, which has travelled from the regions towards which I am advancing, gives me a foretaste of those icy climes. Inspirited by this wind of promise, my daydreams become more fervent and vivid. I try in vain to be persuaded that the pole is the seat of frost and desolation; it ever presents itself to my imagination as the region of beauty and delight. There, Margaret, the sun is for ever visible, its broad disk just skirting the horizon and diffusing a perpetual splendour. There—for with your leave, my sister, I will put some trust in preceding navigators—there snow and frost are banished; and, sailing over a calm sea, we may be wafted to a land surpassing in wonders and in beauty every region hitherto discovered on the habitable globe. Its productions and features may be without example, as the phenomena of the heavenly bodies undoubtedly are in those undiscovered solitudes. What may not be expected in a country of eternal light? I may there discover the wondrous power which attracts the needle and may regulate a thousand celestial observations that require only this voyage to render their seeming eccentricities consistent for ever. I shall satiate my ardent curiosity with the sight of a part of the world never before visited, and may tread a land never before imprinted by the foot of man. These are my enticements, and they are sufficient to conquer all fear of danger or death and to induce me to commence this laborious voyage with the joy a child feels when he embarks in a little boat, with his holiday mates, on an expedition of discovery up his native river. But supposing all these conjectures to be false, you cannot contest the inestimable benefit which I shall confer on all mankind, to the last generation, by discovering a passage near the pole to those countries, to reach which at present so many months are requisite; or by ascertaining the secret of the magnet, which, if at all possible, can only be effected by an undertaking such as mine. These reflections have dispelled the agitation with which I began my letter, and I feel my heart glow with an enthusiasm which elevates me to heaven, for nothing contributes so much to tranquillise the mind as a steady purpose—a point on which the soul may fix its intellectual eye. This expedition has been the favourite dream of my early years. I have read with ardour the accounts of the various voyages which have been made in the prospect of arriving at the North Pacific Ocean through the seas which surround the pole. You may remember that a history of all the voyages made for purposes of discovery composed the whole of our good Uncle Thomas’ library. My education was neglected, yet I was passionately fond of reading. These volumes were my study day and night, and my familiarity with them increased that regret which I had felt, as a child, on learning that my father’s dying injunction had forbidden my uncle to allow me to embark in a seafaring life. These visions faded when I perused, for the first time, those poets whose effusions entranced my soul and lifted it to heaven. I also became a poet and for one year lived in a paradise of my own creation; I imagined that I also might obtain a niche in the temple where the names of Homer and Shakespeare are consecrated. You are well acquainted with my failure and how heavily I bore the disappointment. But just at that time I inherited the fortune of my cousin, and my thoughts were turned into the channel of their earlier bent. Six years have passed since I resolved on my present undertaking. I can, even now, remember the hour from which I dedicated myself to this great enterprise. I commenced by inuring my body to hardship. I accompanied the whale-fishers on several expeditions to the North Sea; I voluntarily endured cold, famine, thirst, and want of sleep; I often worked harder than the common sailors during the day and devoted my nights to the study of mathematics, the theory of medicine, and those branches of physical science from which a naval adventurer might derive the greatest practical advantage. Twice I actually hired myself as an under-mate in a Greenland whaler, and acquitted myself to admiration. I must own I felt a little proud when my captain offered me the second dignity in the vessel and entreated me to remain with the greatest earnestness, so valuable did he consider my services. And now, dear Margaret, do I not deserve to accomplish some great purpose? My life might have been passed in ease and luxury, but I preferred glory to every enticement that wealth placed in my path. Oh, that some encouraging voice would answer in the affirmative! My courage and my resolution is firm; but my hopes fluctuate, and my spirits are often depressed. I am about to proceed on a long and difficult voyage, the emergencies of which will demand all my fortitude: I am required not only to raise the spirits of others, but sometimes to sustain my own, when theirs are failing. This is the most favourable period for travelling in Russia. They fly quickly over the snow in their sledges; the motion is pleasant, and, in my opinion, far more agreeable than that of an English stagecoach. The cold is not excessive, if you are wrapped in furs—a dress which I have already adopted, for there is a great difference between walking the deck and remaining seated motionless for hours, when no exercise prevents the blood from actually freezing in your veins. I have no ambition to lose my life on the post-road between St. Petersburgh and Archangel. I shall depart for the latter town in a fortnight or three weeks; and my intention is to hire a ship there, which can easily be done by paying the insurance for the owner, and to engage as many sailors as I think necessary among those who are accustomed to the whale-fishing. I do not intend to sail until the month of June; and when shall I return? Ah, dear sister, how can I answer this question? If I succeed, many, many months, perhaps years, will pass before you and I may meet. If I fail, you will see me again soon, or never. Farewell, my dear, excellent Margaret. Heaven shower down blessings on you, and save me, that I may again and again testify my gratitude for all your love and kindness. Your affectionate brother, R. Walton Letter 2 To Mrs. Saville, England. Archangel, 28th March, 17—. How slowly the time passes here, encompassed as I am by frost and snow! Yet a second step is taken towards my enterprise. I have hired a vessel and am occupied in collecting my sailors; those whom I have already engaged appear to be men on whom I can depend and are certainly possessed of dauntless courage. But I have one want which I have never yet been able to satisfy, and the absence of the object of which I now feel as a most severe evil, I have no friend, Margaret: when I am glowing with the enthusiasm of success, there will be none to participate my joy; if I am assailed by disappointment, no one will endeavour to sustain me in dejection. I shall commit my thoughts to paper, it is true; but that is a poor medium for the communication of feeling. I desire the company of a man who could sympathise with me, whose eyes would reply to mine. You may deem me romantic, my dear sister, but I bitterly feel the want of a friend. I have no one near me, gentle yet courageous, possessed of a cultivated as well as of a capacious mind, whose tastes are like my own, to approve or amend my plans. How would such a friend repair the faults of your poor brother! I am too ardent in execution and too impatient of difficulties. But it is a still greater evil to me that I am self-educated: for the first fourteen years of my life I ran wild on a common and read nothing but our Uncle Thomas’ books of voyages. At that age I became acquainted with the celebrated poets of our own country; but it was only when it had ceased to be in my power to derive its most important benefits from such a conviction that I perceived the necessity of becoming acquainted with more languages than that of my native country. Now I am twenty-eight and am in reality more illiterate than many schoolboys of fifteen. It is true that I have thought more and that my daydreams are more extended and magnificent, but they want (as the painters call it) keeping; and I greatly need a friend who would have sense enough not to despise me as romantic, and affection enough for me to endeavour to regulate my mind. Well, these are useless complaints; I shall certainly find no friend on the wide ocean, nor even here in Archangel, among merchants and seamen. Yet some feelings, unallied to the dross of human nature, beat even in these rugged bosoms. My lieutenant, for instance, is a man of wonderful courage and enterprise; he is madly desirous of glory, or rather, to word my phrase more characteristically, of advancement in his profession. He is an Englishman, and in the midst of national and professional prejudices, unsoftened by cultivation, retains some of the noblest endowments of humanity. I first became acquainted with him on board a whale vessel; finding that he was unemployed in this city, I easily engaged him to assist in my enterprise. The master is a person of an excellent disposition and is remarkable in the ship for his gentleness and the mildness of his discipline. This circumstance, added to his well-known integrity and dauntless courage, made me very desirous to engage him. A youth passed in solitude, my best years spent under your gentle and feminine fosterage, has so refined the groundwork of my character that I cannot overcome an intense distaste to the usual brutality exercised on board ship: I have never believed it to be necessary, and when I heard of a mariner equally noted for his kindliness of heart and the respect and obedience paid to him by his crew, I felt myself peculiarly fortunate in being able to secure his services. I heard of him first in rather a romantic manner, from a lady who owes to him the happiness of her life. This, briefly, is his story. Some years ago he loved a young Russian lady of moderate fortune, and having amassed a considerable sum in prize-money, the father of the girl consented to the match. He saw his mistress once before the destined ceremony; but she was bathed in tears, and throwing herself at his feet, entreated him to spare her, confessing at the same time that she loved another, but that he was poor, and that her father would never consent to the union. My generous friend reassured the suppliant, and on being informed of the name of her lover, instantly abandoned his pursuit. He had already bought a farm with his money, on which he had designed to pass the remainder of his life; but he bestowed the whole on his rival, together with the remains of his prize-money to purchase stock, and then himself solicited the young woman’s father to consent to her marriage with her lover. But the old man decidedly refused, thinking himself bound in honour to my friend, who, when he found the father inexorable, quitted his country, nor returned until he heard that his former mistress was married according to her inclinations. “What a noble fellow!†you will exclaim. He is so; but then he is wholly uneducated: he is as silent as a Turk, and a kind of ignorant carelessness attends him, which, while it renders his conduct the more astonishing, detracts from the interest and sympathy which otherwise he would command. Yet do not suppose, because I complain a little or because I can conceive a consolation for my toils which I may never know, that I am wavering in my resolutions. Those are as fixed as fate, and my voyage is only now delayed until the weather shall permit my embarkation. The winter has been dreadfully severe, but the spring promises well, and it is considered as a remarkably early season, so that perhaps I may sail sooner than I expected. I shall do nothing rashly: you know me sufficiently to confide in my prudence and considerateness whenever the safety of others is committed to my care. I cannot describe to you my sensations on the near prospect of my undertaking. It is impossible to communicate to you a conception of the trembling sensation, half pleasurable and half fearful, with which I am preparing to depart. I am going to unexplored regions, to “the land of mist and snow,†but I shall kill no albatross; therefore do not be alarmed for my safety or if I should come back to you as worn and woeful as the “Ancient Mariner.†You will smile at my allusion, but I will disclose a secret. I have often attributed my attachment to, my passionate enthusiasm for, the dangerous mysteries of ocean to that production of the most imaginative of modern poets. There is something at work in my soul which I do not understand. I am practically industrious—painstaking, a workman to execute with perseverance and labour—but besides this there is a love for the marvellous, a belief in the marvellous, intertwined in all my projects, which hurries me out of the common pathways of men, even to the wild sea and unvisited regions I am about to explore. But to return to dearer considerations. Shall I meet you again, after having traversed immense seas, and returned by the most southern cape of Africa or America? I dare not expect such success, yet I cannot bear to look on the reverse of the picture. Continue for the present to write to me by every opportunity: I may receive your letters on some occasions when I need them most to support my spirits. I love you very tenderly. Remember me with affection, should you never hear from me again. Your affectionate brother, Robert Walton Letter 3 To Mrs. Saville, England. July 7th, 17—. My dear Sister, I write a few lines in haste to say that I am safe—and well advanced on my voyage. This letter will reach England by a merchantman now on its homeward voyage from Archangel; more fortunate than I, who may not see my native land, perhaps, for many years. I am, however, in good spirits: my men are bold and apparently firm of purpose, nor do the floating sheets of ice that continually pass us, indicating the dangers of the region towards which we are advancing, appear to dismay them. We have already reached a very high latitude; but it is the height of summer, and although not so warm as in England, the southern gales, which blow us speedily towards those shores which I so ardently desire to attain, breathe a degree of renovating warmth which I had not expected. No incidents have hitherto befallen us that would make a figure in a letter. One or two stiff gales and the springing of a leak are accidents which experienced navigators scarcely remember to record, and I shall be well content if nothing worse happen to us during our voyage. Adieu, my dear Margaret. Be assured that for my own sake, as well as yours, I will not rashly encounter danger. I will be cool, persevering, and prudent. But success shall crown my endeavours. Wherefore not? Thus far I have gone, tracing a secure way over the pathless seas, the very stars themselves being witnesses and testimonies of my triumph. Why not still proceed over the untamed yet obedient element? What can stop the determined heart and resolved will of man? My swelling heart involuntarily pours itself out thus. But I must finish. Heaven bless my beloved sister! R.W. Letter 4 To Mrs. Saville, England. August 5th, 17—. So strange an accident has happened to us that I cannot forbear recording it, although it is very probable that you will see me before these papers can come into your possession. Last Monday (July 31st) we were nearly surrounded by ice, which closed in the ship on all sides, scarcely leaving her the sea-room in which she floated. Our situation was somewhat dangerous, especially as we were compassed round by a very thick fog. We accordingly lay to, hoping that some change would take place in the atmosphere and weather. About two o’clock the mist cleared away, and we beheld, stretched out in every direction, vast and irregular plains of ice, which seemed to have no end. Some of my comrades groaned, and my own mind began to grow watchful with anxious thoughts, when a strange sight suddenly attracted our attention and diverted our solicitude from our own situation. We perceived a low carriage, fixed on a sledge and drawn by dogs, pass on towards the north, at the distance of half a mile; a being which had the shape of a man, but apparently of gigantic stature, sat in the sledge and guided the dogs. We watched the rapid progress of the traveller with our telescopes until he was lost among the distant inequalities of the ice. This appearance excited our unqualified wonder. We were, as we believed, many hundred miles from any land; but this apparition seemed to denote that it was not, in reality, so distant as we had supposed. Shut in, however, by ice, it was impossible to follow his track, which we had observed with the greatest attention. About two hours after this occurrence we heard the ground sea, and before night the ice broke and freed our ship. We, however, lay to until the morning, fearing to encounter in the dark those large loose masses which float about after the breaking up of the ice. I profited of this time to rest for a few hours. In the morning, however, as soon as it was light, I went upon deck and found all the sailors busy on one side of the vessel, apparently talking to someone in the sea. It was, in fact, a sledge, like that we had seen before, which had drifted towards us in the night on a large fragment of ice. Only one dog remained alive; but there was a human being within it whom the sailors were persuading to enter the vessel. He was not, as the other traveller seemed to be, a savage inhabitant of some undiscovered island, but a European. When I appeared on deck the master said, “Here is our captain, and he will not allow you to perish on the open sea.†On perceiving me, the stranger addressed me in English, although with a foreign accent. “Before I come on board your vessel,†said he, “will you have the kindness to inform me whither you are bound?†You may conceive my astonishment on hearing such a question addressed to me from a man on the brink of destruction and to whom I should have supposed that my vessel would have been a resource which he would not have exchanged for the most precious wealth the earth can afford. I replied, however, that we were on a voyage of discovery towards the northern pole. Upon hearing this he appeared satisfied and consented to come on board. Good God! Margaret, if you had seen the man who thus capitulated for his safety, your surprise would have been boundless. His limbs were nearly frozen, and his body dreadfully emaciated by fatigue and suffering. I never saw a man in so wretched a condition. We attempted to carry him into the cabin, but as soon as he had quitted the fresh air he fainted. We accordingly brought him back to the deck and restored him to animation by rubbing him with brandy and forcing him to swallow a small quantity. As soon as he showed signs of life we wrapped him up in blankets and placed him near the chimney of the kitchen stove. By slow degrees he recovered and ate a little soup, which restored him wonderfully. Two days passed in this manner before he was able to speak, and I often feared that his sufferings had deprived him of understanding. When he had in some measure recovered, I removed him to my own cabin and attended on him as much as my duty would permit. I never saw a more interesting creature: his eyes have generally an expression of wildness, and even madness, but there are moments when, if anyone performs an act of kindness towards him or does him any the most trifling service, his whole countenance is lighted up, as it were, with a beam of benevolence and sweetness that I never saw equalled. But he is generally melancholy and despairing, and sometimes he gnashes his teeth, as if impatient of the weight of woes that oppresses him. When my guest was a little recovered I had great trouble to keep off the men, who wished to ask him a thousand questions; but I would not allow him to be tormented by their idle curiosity, in a state of body and mind whose restoration evidently depended upon entire repose. Once, however, the lieutenant asked why he had come so far upon the ice in so strange a vehicle. His countenance instantly assumed an aspect of the deepest gloom, and he replied, “To seek one who fled from me.†“And did the man whom you pursued travel in the same fashion?†“Yes.†“Then I fancy we have seen him, for the day before we picked you up we saw some dogs drawing a sledge, with a man in it, across the ice.†This aroused the stranger’s attention, and he asked a multitude of questions concerning the route which the dæmon, as he called him, had pursued. Soon after, when he was alone with me, he said, “I have, doubtless, excited your curiosity, as well as that of these good people; but you are too considerate to make inquiries.†“Certainly; it would indeed be very impertinent and inhuman in me to trouble you with any inquisitiveness of mine.†“And yet you rescued me from a strange and perilous situation; you have benevolently restored me to life.†Soon after this he inquired if I thought that the breaking up of the ice had destroyed the other sledge. I replied that I could not answer with any degree of certainty, for the ice had not broken until near midnight, and the traveller might have arrived at a place of safety before that time; but of this I could not judge. From this time a new spirit of life animated the decaying frame of the stranger. He manifested the greatest eagerness to be upon deck to watch for the sledge which had before appeared; but I have persuaded him to remain in the cabin, for he is far too weak to sustain the rawness of the atmosphere. I have promised that someone should watch for him and give him instant notice if any new object should appear in sight. Such is my journal of what relates to this strange occurrence up to the present day. The stranger has gradually improved in health but is very silent and appears uneasy when anyone except myself enters his cabin. Yet his manners are so conciliating and gentle that the sailors are all interested in him, although they have had very little communication with him. For my own part, I begin to love him as a brother, and his constant and deep grief fills me with sympathy and compassion. He must have been a noble creature in his better days, being even now in wreck so attractive and amiable. I said in one of my letters, my dear Margaret, that I should find no friend on the wide ocean; yet I have found a man who, before his spirit had been broken by misery, I should have been happy to have possessed as the brother of my heart. I shall continue my journal concerning the stranger at intervals, should I have any fresh incidents to record. August 13th, 17—. My affection for my guest increases every day. He excites at once my admiration and my pity to an astonishing degree. How can I see so noble a creature destroyed by misery without feeling the most poignant grief? He is so gentle, yet so wise; his mind is so cultivated, and when he speaks, although his words are culled with the choicest art, yet they flow with rapidity and unparalleled eloquence. He is now much recovered from his illness and is continually on the deck, apparently watching for the sledge that preceded his own. Yet, although unhappy, he is not so utterly occupied by his own misery but that he interests himself deeply in the projects of others. He has frequently conversed with me on mine, which I have communicated to him without disguise. He entered attentively into all my arguments in favour of my eventual success and into every minute detail of the measures I had taken to secure it. I was easily led by the sympathy which he evinced to use the language of my heart, to give utterance to the burning ardour of my soul and to say, with all the fervour that warmed me, how gladly I would sacrifice my fortune, my existence, my every hope, to the furtherance of my enterprise. One man’s life or death were but a small price to pay for the acquirement of the knowledge which I sought, for the dominion I should acquire and transmit over the elemental foes of our race. As I spoke, a dark gloom spread over my listener’s countenance. At first I perceived that he tried to suppress his emotion; he placed his hands before his eyes, and my voice quivered and failed me as I beheld tears trickle fast from between his fingers; a groan burst from his heaving breast. I paused; at length he spoke, in broken accents: “Unhappy man! Do you share my madness? Have you drunk also of the intoxicating draught? Hear me; let me reveal my tale, and you will dash the cup from your lips!†Such words, you may imagine, strongly excited my curiosity; but the paroxysm of grief that had seized the stranger overcame his weakened powers, and many hours of repose and tranquil conversation were necessary to restore his composure. Having conquered the violence of his feelings, he appeared to despise himself for being the slave of passion; and quelling the dark tyranny of despair, he led me again to converse concerning myself personally. He asked me the history of my earlier years. The tale was quickly told, but it awakened various trains of reflection. I spoke of my desire of finding a friend, of my thirst for a more intimate sympathy with a fellow mind than had ever fallen to my lot, and expressed my conviction that a man could boast of little happiness who did not enjoy this blessing. “I agree with you,†replied the stranger; “we are unfashioned creatures, but half made up, if one wiser, better, dearer than ourselves—such a friend ought to be—do not lend his aid to perfectionate our weak and faulty natures. I once had a friend, the most noble of human creatures, and am entitled, therefore, to judge respecting friendship. You have hope, and the world before you, and have no cause for despair. But I—I have lost everything and cannot begin life anew.†As he said this his countenance became expressive of a calm, settled grief that touched me to the heart. But he was silent and presently retired to his cabin. Even broken in spirit as he is, no one can feel more deeply than he does the beauties of nature. The starry sky, the sea, and every sight afforded by these wonderful regions seem still to have the power of elevating his soul from earth. Such a man has a double existence: he may suffer misery and be overwhelmed by disappointments, yet when he has retired into himself, he will be like a celestial spirit that has a halo around him, within whose circle no grief or folly ventures. Will you smile at the enthusiasm I express concerning this divine wanderer? You would not if you saw him. You have been tutored and refined by books and retirement from the world, and you are therefore somewhat fastidious; but this only renders you the more fit to appreciate the extraordinary merits of this wonderful man. Sometimes I have endeavoured to discover what quality it is which he possesses that elevates him so immeasurably above any other person I ever knew. I believe it to be an intuitive discernment, a quick but never-failing power of judgment, a penetration into the causes of things, unequalled for clearness and precision; add to this a facility of expression and a voice whose varied intonations are soul-subduing music. August 19th, 17—. Yesterday the stranger said to me, “You may easily perceive, Captain Walton, that I have suffered great and unparalleled misfortunes. I had determined at one time that the memory of these evils should die with me, but you have won me to alter my determination. You seek for knowledge and wisdom, as I once did; and I ardently hope that the gratification of your wishes may not be a serpent to sting you, as mine has been. I do not know that the relation of my disasters will be useful to you; yet, when I reflect that you are pursuing the same course, exposing yourself to the same dangers which have rendered me what I am, I imagine that you may deduce an apt moral from my tale, one that may direct you if you succeed in your undertaking and console you in case of failure. Prepare to hear of occurrences which are usually deemed marvellous. Were we among the tamer scenes of nature I might fear to encounter your unbelief, perhaps your ridicule; but many things will appear possible in these wild and mysterious regions which would provoke the laughter of those unacquainted with the ever-varied powers of nature; nor can I doubt but that my tale conveys in its series internal evidence of the truth of the events of which it is composed.†You may easily imagine that I was much gratified by the offered communication, yet I could not endure that he should renew his grief by a recital of his misfortunes. I felt the greatest eagerness to hear the promised narrative, partly from curiosity and partly from a strong desire to ameliorate his fate if it were in my power. I expressed these feelings in my answer. “I thank you,†he replied, “for your sympathy, but it is useless; my fate is nearly fulfilled. I wait but for one event, and then I shall repose in peace. I understand your feeling,†continued he, perceiving that I wished to interrupt him; “but you are mistaken, my friend, if thus you will allow me to name you; nothing can alter my destiny; listen to my history, and you will perceive how irrevocably it is determined.†He then told me that he would commence his narrative the next day when I should be at leisure. This promise drew from me the warmest thanks. I have resolved every night, when I am not imperatively occupied by my duties, to record, as nearly as possible in his own words, what he has related during the day. If I should be engaged, I will at least make notes. This manuscript will doubtless afford you the greatest pleasure; but to me, who know him, and who hear it from his own lips—with what interest and sympathy shall I read it in some future day! Even now, as I commence my task, his full-toned voice swells in my ears; his lustrous eyes dwell on me with all their melancholy sweetness; I see his thin hand raised in animation, while the lineaments of his face are irradiated by the soul within. Strange and harrowing must be his story, frightful the storm which embraced the gallant vessel on its course and wrecked it—thus! pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_bpe_tokeniser/pyproject.toml000066400000000000000000000003511514162565100316770ustar00rootroot00000000000000[project] name = "pyperformance_bm_bpe_tokeniser" requires-python = ">=3.7" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "bpe_tokeniser" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_bpe_tokeniser/run_benchmark.py000066400000000000000000000121701514162565100321550ustar00rootroot00000000000000""" Benchmark a BPE tokeniser. Author: Shantanu Jain Based on code from tiktoken. https://github.com/openai/tiktoken """ from __future__ import annotations import pyperf import collections import re from pathlib import Path class SimpleBytePairEncoding: def __init__(self, *, pat_str: str, mergeable_ranks: dict[bytes, int]) -> None: self.pat_str = pat_str self.mergeable_ranks = mergeable_ranks self._decoder = {token: token_bytes for token_bytes, token in mergeable_ranks.items()} self._pat = re.compile(pat_str) def encode(self, text: str) -> list[int]: # Use the regex to split the text into (approximately) words words = self._pat.findall(text) tokens = [] for word in words: # Turn each word into tokens, using the byte pair encoding algorithm word_bytes = word.encode("utf-8") word_tokens = bpe_encode(self.mergeable_ranks, word_bytes) tokens.extend(word_tokens) return tokens def decode_bytes(self, tokens: list[int]) -> bytes: return b"".join(self._decoder[token] for token in tokens) def decode(self, tokens: list[int]) -> str: return self.decode_bytes(tokens).decode("utf-8", errors="replace") @staticmethod def train(training_data: str, vocab_size: int, pat_str: str): mergeable_ranks = bpe_train(data=training_data, vocab_size=vocab_size, pat_str=pat_str) return SimpleBytePairEncoding(pat_str=pat_str, mergeable_ranks=mergeable_ranks) def bpe_encode(mergeable_ranks: dict[bytes, int], input: bytes) -> list[int]: # A simple, uncached, quadratic BPE parts = [bytes([b]) for b in input] while True: # Iterate over all pairs and find the pair we want to merge the most min_idx = None min_rank = None for i, pair in enumerate(zip(parts[:-1], parts[1:])): rank = mergeable_ranks.get(pair[0] + pair[1]) if rank is not None and (min_rank is None or rank < min_rank): min_idx = i min_rank = rank # If there were no pairs we could merge, we're done! if min_rank is None: break assert min_idx is not None # Otherwise, merge that pair and leave the rest unchanged. Then repeat. parts = parts[:min_idx] + [parts[min_idx] + parts[min_idx + 1]] + parts[min_idx + 2 :] tokens = [mergeable_ranks[part] for part in parts] return tokens def bpe_train(data: str, vocab_size: int, pat_str: str) -> dict[bytes, int]: # First, add tokens for each individual byte value if vocab_size < 2**8: raise ValueError("vocab_size must be at least 256, so we can encode all bytes") ranks = {} for i in range(2**8): ranks[bytes([i])] = i # Splinter up our data into lists of bytes # data = "Hello world" # words = [ # [b'H', b'e', b'l', b'l', b'o'], # [b' ', b'w', b'o', b'r', b'l', b'd'] # ] words: list[list[bytes]] = [ [bytes([b]) for b in word.encode("utf-8")] for word in re.findall(pat_str, data) ] # Now, use our data to figure out which merges we should make while len(ranks) < vocab_size: # Find the most common pair. This will become our next token stats = collections.Counter() for piece in words: for pair in zip(piece[:-1], piece[1:]): stats[pair] += 1 most_common_pair = max(stats, key=lambda x: stats[x]) token_bytes = most_common_pair[0] + most_common_pair[1] token = len(ranks) # Add the new token! ranks[token_bytes] = token # Now merge that most common pair in all the words. That is, update our training data # to reflect our decision to make that pair into a new token. new_words = [] for word in words: new_word = [] i = 0 while i < len(word) - 1: if (word[i], word[i + 1]) == most_common_pair: # We found our pair! Merge it new_word.append(token_bytes) i += 2 else: new_word.append(word[i]) i += 1 if i == len(word) - 1: new_word.append(word[i]) new_words.append(new_word) words = new_words return ranks def train(data: str): pattern = ( r"""'s|'t|'re|'ve|'m|'ll|'d| ?[a-zA-Z]+| ?\d+| ?[^\sa-zA-Z\d]+|\s+(?!\S)|\s+""" ) enc = SimpleBytePairEncoding.train(data, vocab_size=1024, pat_str=pattern) tokens = enc.encode("hello world") assert enc.decode(tokens) == "hello world" enc.encode(data) def bench_bpe_tokeniser(loops: int) -> float: DATA = Path(__file__).parent / "data" / "frankenstein_intro.txt" with open(DATA, "r", encoding="utf8") as f: data = f.read() range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: train(data) return pyperf.perf_counter() - t0 if __name__ == "__main__": runner = pyperf.Runner() runner.metadata["description"] = "Benchmark a BPE tokeniser" runner.bench_time_func("bpe_tokeniser", bench_bpe_tokeniser) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_chameleon/000077500000000000000000000000001514162565100260665ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_chameleon/pyproject.toml000066400000000000000000000004071514162565100310030ustar00rootroot00000000000000[project] name = "pyperformance_bm_chameleon" requires-python = ">=3.8" dependencies = [ "pyperf", "Chameleon", ] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "chameleon" tags = "apps" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_chameleon/requirements.txt000066400000000000000000000000211514162565100313430ustar00rootroot00000000000000chameleon==4.6.0 pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_chameleon/run_benchmark.py000066400000000000000000000014561514162565100312640ustar00rootroot00000000000000import functools import pyperf from chameleon import PageTemplate BIGTABLE_ZPT = """\
""" def main(): runner = pyperf.Runner() runner.metadata['description'] = "Chameleon template" tmpl = PageTemplate(BIGTABLE_ZPT) table = [dict(a=1, b=2, c=3, d=4, e=5, f=6, g=7, h=8, i=9, j=10) for x in range(500)] options = {'table': table} func = functools.partial(tmpl, options=options) runner.bench_func('chameleon', func) if __name__ == '__main__': main() pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_chaos/000077500000000000000000000000001514162565100252305ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_chaos/pyproject.toml000066400000000000000000000003311514162565100301410ustar00rootroot00000000000000[project] name = "pyperformance_bm_chaos" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "chaos" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_chaos/run_benchmark.py000066400000000000000000000247251514162565100304320ustar00rootroot00000000000000"""create chaosgame-like fractals Copyright (C) 2005 Carl Friedrich Bolz """ import math import random import pyperf DEFAULT_THICKNESS = 0.25 DEFAULT_WIDTH = 256 DEFAULT_HEIGHT = 256 DEFAULT_ITERATIONS = 5000 DEFAULT_RNG_SEED = 1234 class GVector(object): def __init__(self, x=0, y=0, z=0): self.x = x self.y = y self.z = z def Mag(self): return math.sqrt(self.x ** 2 + self.y ** 2 + self.z ** 2) def dist(self, other): return math.sqrt((self.x - other.x) ** 2 + (self.y - other.y) ** 2 + (self.z - other.z) ** 2) def __add__(self, other): if not isinstance(other, GVector): raise ValueError("Can't add GVector to " + str(type(other))) v = GVector(self.x + other.x, self.y + other.y, self.z + other.z) return v def __sub__(self, other): return self + other * -1 def __mul__(self, other): v = GVector(self.x * other, self.y * other, self.z * other) return v __rmul__ = __mul__ def linear_combination(self, other, l1, l2=None): if l2 is None: l2 = 1 - l1 v = GVector(self.x * l1 + other.x * l2, self.y * l1 + other.y * l2, self.z * l1 + other.z * l2) return v def __str__(self): return "<%f, %f, %f>" % (self.x, self.y, self.z) def __repr__(self): return "GVector(%f, %f, %f)" % (self.x, self.y, self.z) class Spline(object): """Class for representing B-Splines and NURBS of arbitrary degree""" def __init__(self, points, degree, knots): """Creates a Spline. points is a list of GVector, degree is the degree of the Spline. """ if len(points) > len(knots) - degree + 1: raise ValueError("too many control points") elif len(points) < len(knots) - degree + 1: raise ValueError("not enough control points") last = knots[0] for cur in knots[1:]: if cur < last: raise ValueError("knots not strictly increasing") last = cur self.knots = knots self.points = points self.degree = degree def GetDomain(self): """Returns the domain of the B-Spline""" return (self.knots[self.degree - 1], self.knots[len(self.knots) - self.degree]) def __call__(self, u): """Calculates a point of the B-Spline using de Boors Algorithm""" dom = self.GetDomain() if u < dom[0] or u > dom[1]: raise ValueError("Function value not in domain") if u == dom[0]: return self.points[0] if u == dom[1]: return self.points[-1] I = self.GetIndex(u) d = [self.points[I - self.degree + 1 + ii] for ii in range(self.degree + 1)] U = self.knots for ik in range(1, self.degree + 1): for ii in range(I - self.degree + ik + 1, I + 2): ua = U[ii + self.degree - ik] ub = U[ii - 1] co1 = (ua - u) / (ua - ub) co2 = (u - ub) / (ua - ub) index = ii - I + self.degree - ik - 1 d[index] = d[index].linear_combination(d[index + 1], co1, co2) return d[0] def GetIndex(self, u): dom = self.GetDomain() for ii in range(self.degree - 1, len(self.knots) - self.degree): if u >= self.knots[ii] and u < self.knots[ii + 1]: I = ii break else: I = dom[1] - 1 return I def __len__(self): return len(self.points) def __repr__(self): return "Spline(%r, %r, %r)" % (self.points, self.degree, self.knots) def write_ppm(im, filename): magic = 'P6\n' maxval = 255 w = len(im) h = len(im[0]) with open(filename, "w", encoding="latin1", newline='') as fp: fp.write(magic) fp.write('%i %i\n%i\n' % (w, h, maxval)) for j in range(h): for i in range(w): val = im[i][j] c = val * 255 fp.write('%c%c%c' % (c, c, c)) class Chaosgame(object): def __init__(self, splines, thickness=0.1): self.splines = splines self.thickness = thickness self.minx = min([p.x for spl in splines for p in spl.points]) self.miny = min([p.y for spl in splines for p in spl.points]) self.maxx = max([p.x for spl in splines for p in spl.points]) self.maxy = max([p.y for spl in splines for p in spl.points]) self.height = self.maxy - self.miny self.width = self.maxx - self.minx self.num_trafos = [] maxlength = thickness * self.width / self.height for spl in splines: length = 0 curr = spl(0) for i in range(1, 1000): last = curr t = 1 / 999 * i curr = spl(t) length += curr.dist(last) self.num_trafos.append(max(1, int(length / maxlength * 1.5))) self.num_total = sum(self.num_trafos) def get_random_trafo(self): r = random.randrange(int(self.num_total) + 1) l = 0 for i in range(len(self.num_trafos)): if r >= l and r < l + self.num_trafos[i]: return i, random.randrange(self.num_trafos[i]) l += self.num_trafos[i] return len(self.num_trafos) - 1, random.randrange(self.num_trafos[-1]) def transform_point(self, point, trafo=None): x = (point.x - self.minx) / self.width y = (point.y - self.miny) / self.height if trafo is None: trafo = self.get_random_trafo() start, end = self.splines[trafo[0]].GetDomain() length = end - start seg_length = length / self.num_trafos[trafo[0]] t = start + seg_length * trafo[1] + seg_length * x basepoint = self.splines[trafo[0]](t) if t + 1 / 50000 > end: neighbour = self.splines[trafo[0]](t - 1 / 50000) derivative = neighbour - basepoint else: neighbour = self.splines[trafo[0]](t + 1 / 50000) derivative = basepoint - neighbour if derivative.Mag() != 0: basepoint.x += derivative.y / derivative.Mag() * (y - 0.5) * \ self.thickness basepoint.y += -derivative.x / derivative.Mag() * (y - 0.5) * \ self.thickness else: print("r", end='') self.truncate(basepoint) return basepoint def truncate(self, point): if point.x >= self.maxx: point.x = self.maxx if point.y >= self.maxy: point.y = self.maxy if point.x < self.minx: point.x = self.minx if point.y < self.miny: point.y = self.miny def create_image_chaos(self, w, h, iterations, filename, rng_seed): # Always use the same sequence of random numbers # to get reproductible benchmark random.seed(rng_seed) im = [[1] * h for i in range(w)] point = GVector((self.maxx + self.minx) / 2, (self.maxy + self.miny) / 2, 0) for _ in range(iterations): point = self.transform_point(point) x = (point.x - self.minx) / self.width * w y = (point.y - self.miny) / self.height * h x = int(x) y = int(y) if x == w: x -= 1 if y == h: y -= 1 im[x][h - y - 1] = 0 if filename: write_ppm(im, filename) def main(runner, args): splines = [ Spline([ GVector(1.597350, 3.304460, 0.000000), GVector(1.575810, 4.123260, 0.000000), GVector(1.313210, 5.288350, 0.000000), GVector(1.618900, 5.329910, 0.000000), GVector(2.889940, 5.502700, 0.000000), GVector(2.373060, 4.381830, 0.000000), GVector(1.662000, 4.360280, 0.000000)], 3, [0, 0, 0, 1, 1, 1, 2, 2, 2]), Spline([ GVector(2.804500, 4.017350, 0.000000), GVector(2.550500, 3.525230, 0.000000), GVector(1.979010, 2.620360, 0.000000), GVector(1.979010, 2.620360, 0.000000)], 3, [0, 0, 0, 1, 1, 1]), Spline([ GVector(2.001670, 4.011320, 0.000000), GVector(2.335040, 3.312830, 0.000000), GVector(2.366800, 3.233460, 0.000000), GVector(2.366800, 3.233460, 0.000000)], 3, [0, 0, 0, 1, 1, 1]) ] runner.metadata['chaos_thickness'] = args.thickness runner.metadata['chaos_width'] = args.width runner.metadata['chaos_height'] = args.height runner.metadata['chaos_iterations'] = args.iterations runner.metadata['chaos_rng_seed'] = args.rng_seed chaos = Chaosgame(splines, args.thickness) runner.bench_func('chaos', chaos.create_image_chaos, args.width, args.height, args.iterations, args.filename, args.rng_seed) def add_cmdline_args(cmd, args): cmd.append("--width=%s" % args.width) cmd.append("--height=%s" % args.height) cmd.append("--thickness=%s" % args.thickness) cmd.append("--rng-seed=%s" % args.rng_seed) if args.filename: cmd.extend(("--filename", args.filename)) if __name__ == "__main__": runner = pyperf.Runner(add_cmdline_args=add_cmdline_args) runner.metadata['description'] = "Create chaosgame-like fractals" cmd = runner.argparser cmd.add_argument("--thickness", type=float, default=DEFAULT_THICKNESS, help="Thickness (default: %s)" % DEFAULT_THICKNESS) cmd.add_argument("--width", type=int, default=DEFAULT_WIDTH, help="Image width (default: %s)" % DEFAULT_WIDTH) cmd.add_argument("--height", type=int, default=DEFAULT_HEIGHT, help="Image height (default: %s)" % DEFAULT_HEIGHT) cmd.add_argument("--iterations", type=int, default=DEFAULT_ITERATIONS, help="Number of iterations (default: %s)" % DEFAULT_ITERATIONS) cmd.add_argument("--filename", metavar="FILENAME.PPM", help="Output filename of the PPM picture") cmd.add_argument("--rng-seed", type=int, default=DEFAULT_RNG_SEED, help="Random number generator seed (default: %s)" % DEFAULT_RNG_SEED) args = runner.parse_args() main(runner, args) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_comprehensions/000077500000000000000000000000001514162565100271675ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_comprehensions/pyproject.toml000066400000000000000000000003531514162565100321040ustar00rootroot00000000000000[project] name = "pyperformance_bm_comprehensions" requires-python = ">=3.7" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "comprehensions" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_comprehensions/run_benchmark.py000066400000000000000000000054561514162565100323710ustar00rootroot00000000000000""" Benchmark comprehensions. Author: Carl Meyer """ from dataclasses import dataclass from enum import Enum from typing import Iterable, List, Optional import pyperf class WidgetKind(Enum): BIG = 1 SMALL = 2 @dataclass class Widget: widget_id: int creator_id: int derived_widget_ids: List[int] kind: WidgetKind has_knob: bool has_spinner: bool class WidgetTray: def __init__(self, owner_id: int, widgets: List[Widget]) -> None: self.owner_id = owner_id self.sorted_widgets: List[Widget] = [] self._add_widgets(widgets) def _any_knobby(self, widgets: Iterable[Optional[Widget]]) -> bool: return any(w.has_knob for w in widgets if w) def _is_big_spinny(self, widget: Widget) -> bool: return widget.kind == WidgetKind.BIG and widget.has_spinner def _add_widgets(self, widgets: List[Widget]) -> None: # sort order: mine first, then any widgets with derived knobby widgets in order of # number derived, then other widgets in order of number derived, and we exclude # big spinny widgets entirely widgets = [w for w in widgets if not self._is_big_spinny(w)] id_to_widget = {w.widget_id: w for w in widgets} id_to_derived = { w.widget_id: [id_to_widget.get(dwid) for dwid in w.derived_widget_ids] for w in widgets } sortable_widgets = [ ( w.creator_id == self.owner_id, self._any_knobby(id_to_derived[w.widget_id]), len(id_to_derived[w.widget_id]), w.widget_id, ) for w in widgets ] sortable_widgets.sort() self.sorted_widgets = [id_to_widget[sw[-1]] for sw in sortable_widgets] def make_some_widgets() -> List[Widget]: widget_id = 0 widgets = [] for creator_id in range(3): for kind in WidgetKind: for has_knob in [True, False]: for has_spinner in [True, False]: derived = [w.widget_id for w in widgets[::creator_id + 1]] widgets.append( Widget( widget_id, creator_id, derived, kind, has_knob, has_spinner ) ) widget_id += 1 assert len(widgets) == 24 return widgets def bench_comprehensions(loops: int) -> float: range_it = range(loops) widgets = make_some_widgets() t0 = pyperf.perf_counter() for _ in range_it: tray = WidgetTray(1, widgets) assert len(tray.sorted_widgets) == 18 return pyperf.perf_counter() - t0 if __name__ == "__main__": runner = pyperf.Runner() runner.metadata["description"] = "Benchmark comprehensions" runner.bench_time_func("comprehensions", bench_comprehensions) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_concurrent_imap/000077500000000000000000000000001514162565100273235ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_concurrent_imap/pyproject.toml000066400000000000000000000003551514162565100322420ustar00rootroot00000000000000[project] name = "pyperformance_bm_concurrent_imap" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "concurrent_imap" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_concurrent_imap/run_benchmark.py000066400000000000000000000014551514162565100325200ustar00rootroot00000000000000""" Benchmark for concurrent model communication. """ import pyperf from multiprocessing.pool import Pool, ThreadPool def f(x: int) -> int: return x def bench_mp_pool(p: int, n: int, chunk: int) -> None: with Pool(p) as pool: for _ in pool.imap(f, range(n), chunk): pass def bench_thread_pool(c: int, n: int, chunk: int) -> None: with ThreadPool(c) as pool: for _ in pool.imap(f, range(n), chunk): pass if __name__ == "__main__": runner = pyperf.Runner() runner.metadata["description"] = "concurrent model communication benchmark" count = 1000 chunk = 10 num_core = 2 runner.bench_func("bench_mp_pool", bench_mp_pool, num_core, count, chunk) runner.bench_func("bench_thread_pool", bench_thread_pool, num_core, count, chunk) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_coroutines/000077500000000000000000000000001514162565100263255ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_coroutines/pyproject.toml000066400000000000000000000003641514162565100312440ustar00rootroot00000000000000[project] name = "pyperformance_bm_coroutines" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "coroutines" tags = "asyncio" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_coroutines/run_benchmark.py000066400000000000000000000012711514162565100315160ustar00rootroot00000000000000""" Benchmark for recursive coroutines. Author: Kumar Aditya """ import pyperf async def fibonacci(n: int) -> int: if n <= 1: return n return await fibonacci(n - 1) + await fibonacci(n - 2) def bench_coroutines(loops: int) -> float: range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: coro = fibonacci(25) try: while True: coro.send(None) except StopIteration: pass return pyperf.perf_counter() - t0 if __name__ == "__main__": runner = pyperf.Runner() runner.metadata['description'] = "Benchmark coroutines" runner.bench_time_func('coroutines', bench_coroutines) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_coverage/000077500000000000000000000000001514162565100257265ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_coverage/pyproject.toml000066400000000000000000000003661514162565100306470ustar00rootroot00000000000000[project] name = "pyperformance_bm_coverage" requires-python = ">=3.8" dependencies = [ "pyperf", "coverage", ] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "coverage" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_coverage/requirements.txt000066400000000000000000000000201514162565100312020ustar00rootroot00000000000000coverage==7.3.2 pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_coverage/run_benchmark.py000066400000000000000000000011721514162565100311170ustar00rootroot00000000000000""" Benchmark coverage performance with a recursive fibonacci function. """ import coverage import pyperf def fibonacci(n: int) -> int: if n <= 1: return n return fibonacci(n - 1) + fibonacci(n - 2) def bench_coverage(loops: int) -> None: range_it = range(loops) cov = coverage.Coverage() cov.start() t0 = pyperf.perf_counter() for _ in range_it: fibonacci(25) cov.stop() return pyperf.perf_counter() - t0 if __name__ == "__main__": runner = pyperf.Runner() runner.metadata['description'] = "Benchmark coverage" runner.bench_time_func('coverage', bench_coverage) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_crypto_pyaes/000077500000000000000000000000001514162565100266545ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_crypto_pyaes/pyproject.toml000066400000000000000000000003731514162565100315730ustar00rootroot00000000000000[project] name = "pyperformance_bm_crypto_pyaes" requires-python = ">=3.8" dependencies = [ "pyperf", "pyaes", ] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "crypto_pyaes" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_crypto_pyaes/requirements.txt000066400000000000000000000000151514162565100321340ustar00rootroot00000000000000pyaes==1.6.1 pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_crypto_pyaes/run_benchmark.py000066400000000000000000000021121514162565100320400ustar00rootroot00000000000000#!/usr/bin/env python """ Pure-Python Implementation of the AES block-cipher. Benchmark AES in CTR mode using the pyaes module. """ import pyperf import pyaes # 23,000 bytes CLEARTEXT = b"This is a test. What could possibly go wrong? " * 500 # 128-bit key (16 bytes) KEY = b'\xa1\xf6%\x8c\x87}_\xcd\x89dHE8\xbf\xc9,' def bench_pyaes(loops): range_it = range(loops) t0 = pyperf.perf_counter() for loops in range_it: aes = pyaes.AESModeOfOperationCTR(KEY) ciphertext = aes.encrypt(CLEARTEXT) # need to reset IV for decryption aes = pyaes.AESModeOfOperationCTR(KEY) plaintext = aes.decrypt(ciphertext) # explicitly destroy the pyaes object aes = None dt = pyperf.perf_counter() - t0 if plaintext != CLEARTEXT: raise Exception("decrypt error!") return dt if __name__ == "__main__": runner = pyperf.Runner() runner.metadata['description'] = ("Pure-Python Implementation " "of the AES block-cipher") runner.bench_time_func('crypto_pyaes', bench_pyaes) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_dask/000077500000000000000000000000001514162565100250555ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_dask/pyproject.toml000066400000000000000000000003301514162565100277650ustar00rootroot00000000000000[project] name = "pyperformance_bm_dask" requires-python = ">=3.12" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "dask" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_dask/requirements.txt000066400000000000000000000000351514162565100303370ustar00rootroot00000000000000dask[distributed]==2024.10.0 pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_dask/run_benchmark.py000066400000000000000000000014241514162565100302460ustar00rootroot00000000000000""" Benchmark the Dask scheduler running a large number of simple jobs. Author: Matt Rocklin, Michael Droettboom """ from dask.distributed import Client, Worker, Scheduler, wait from dask import distributed import pyperf def inc(x): return x + 1 async def benchmark(): async with Scheduler() as scheduler: async with Worker(scheduler.address): async with Client(scheduler.address, asynchronous=True) as client: futures = client.map(inc, range(100)) for _ in range(10): futures = client.map(inc, futures) await wait(futures) if __name__ == "__main__": runner = pyperf.Runner() runner.metadata['description'] = "Benchmark dask" runner.bench_async_func('dask', benchmark) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_decimal_factorial/000077500000000000000000000000001514162565100275555ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_decimal_factorial/pyproject.toml000066400000000000000000000004021514162565100324650ustar00rootroot00000000000000[project] name = "pyperformance_bm_decimal_factorial" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "decimal_factorial" tags = "decimal" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_decimal_factorial/run_benchmark.py000066400000000000000000000021121514162565100327410ustar00rootroot00000000000000""" Calculate `factorial` using the decimal module. - 2024-06-14: Michael Droettboom copied this from Modules/_decimal/tests/bench.py in the CPython source and adapted to use pyperf. """ # Original copyright notice in CPython source: # # Copyright (C) 2001-2012 Python Software Foundation. All Rights Reserved. # Modified and extended by Stefan Krah. # import decimal import pyperf def factorial(n, m): if n > m: return factorial(m, n) elif m == 0: return 1 elif n == m: return n else: return factorial(n, (n + m) // 2) * factorial((n + m) // 2 + 1, m) def bench_decimal_factorial(): c = decimal.getcontext() c.prec = decimal.MAX_PREC c.Emax = decimal.MAX_EMAX c.Emin = decimal.MIN_EMIN for n in [10000, 100000]: # C version of decimal _ = factorial(decimal.Decimal(n), 0) if __name__ == "__main__": runner = pyperf.Runner() runner.metadata["description"] = "decimal_factorial benchmark" args = runner.parse_args() runner.bench_func("decimal_factorial", bench_decimal_factorial) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_decimal_pi/000077500000000000000000000000001514162565100262215ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_decimal_pi/pyproject.toml000066400000000000000000000003641514162565100311400ustar00rootroot00000000000000[project] name = "pyperformance_bm_decimal_pi" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "decimal_pi" tags = "decimal" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_decimal_pi/run_benchmark.py000066400000000000000000000021231514162565100314070ustar00rootroot00000000000000""" Calculate `pi` using the decimal module. The `pidigits` benchmark does a similar thing using regular (long) ints. - 2024-06-14: Michael Droettboom copied this from Modules/_decimal/tests/bench.py in the CPython source and adapted to use pyperf. """ # Original copyright notice in CPython source: # # Copyright (C) 2001-2012 Python Software Foundation. All Rights Reserved. # Modified and extended by Stefan Krah. # import decimal import pyperf def pi_decimal(): """decimal""" D = decimal.Decimal lasts, t, s, n, na, d, da = D(0), D(3), D(3), D(1), D(0), D(0), D(24) while s != lasts: lasts = s n, na = n + na, na + 8 d, da = d + da, da + 32 t = (t * n) / d s += t return s def bench_decimal_pi(): for prec in [9, 19]: decimal.getcontext().prec = prec for _ in range(10000): _ = pi_decimal() if __name__ == "__main__": runner = pyperf.Runner() runner.metadata["description"] = "decimal_pi benchmark" args = runner.parse_args() runner.bench_func("decimal_pi", bench_decimal_pi) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_deepcopy/000077500000000000000000000000001514162565100257435ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_deepcopy/pyproject.toml000066400000000000000000000003371514162565100306620ustar00rootroot00000000000000[project] name = "pyperformance_bm_deepcopy" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "deepcopy" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_deepcopy/run_benchmark.py000066400000000000000000000041361514162565100311370ustar00rootroot00000000000000""" Benchmark to measure performance of the python builtin method copy.deepcopy Performance is tested on a nested dictionary and a dataclass Author: Pieter Eendebak """ import copy import pyperf from dataclasses import dataclass @dataclass class A: string: str lst: list boolean: bool def benchmark_reduce(n): """ Benchmark where the __reduce__ functionality is used """ class C(object): def __init__(self): self.a = 1 self.b = 2 def __reduce__(self): return (C, (), self.__dict__) def __setstate__(self, state): self.__dict__.update(state) c = C() t0 = pyperf.perf_counter() for ii in range(n): _ = copy.deepcopy(c) dt = pyperf.perf_counter() - t0 return dt def benchmark_memo(n): """ Benchmark where the memo functionality is used """ A = [1] * 100 data = {'a': (A, A, A), 'b': [A] * 100} t0 = pyperf.perf_counter() for ii in range(n): _ = copy.deepcopy(data) dt = pyperf.perf_counter() - t0 return dt def benchmark(n): """ Benchmark on some standard data types """ a = { 'list': [1, 2, 3, 43], 't': (1 ,2, 3), 'str': 'hello', 'subdict': {'a': True} } dc = A('hello', [1, 2, 3], True) dt = 0 for ii in range(n): for jj in range(30): t0 = pyperf.perf_counter() _ = copy.deepcopy(a) dt += pyperf.perf_counter() - t0 for s in ['red', 'blue', 'green']: dc.string = s for kk in range(5): dc.lst[0] = kk for b in [True, False]: dc.boolean = b t0 = pyperf.perf_counter() _ = copy.deepcopy(dc) dt += pyperf.perf_counter() - t0 return dt if __name__ == "__main__": runner = pyperf.Runner() runner.metadata['description'] = "deepcopy benchmark" runner.bench_time_func('deepcopy', benchmark) runner.bench_time_func('deepcopy_reduce', benchmark_reduce) runner.bench_time_func('deepcopy_memo', benchmark_memo) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_deltablue/000077500000000000000000000000001514162565100260745ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_deltablue/pyproject.toml000066400000000000000000000003411514162565100310060ustar00rootroot00000000000000[project] name = "pyperformance_bm_deltablue" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "deltablue" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_deltablue/run_benchmark.py000066400000000000000000000413601514162565100312700ustar00rootroot00000000000000""" deltablue.py ============ Ported for the PyPy project. Contributed by Daniel Lindsley This implementation of the DeltaBlue benchmark was directly ported from the `V8's source code`_, which was in turn derived from the Smalltalk implementation by John Maloney and Mario Wolczko. The original Javascript implementation was licensed under the GPL. It's been updated in places to be more idiomatic to Python (for loops over collections, a couple magic methods, ``OrderedCollection`` being a list & things altering those collections changed to the builtin methods) but largely retains the layout & logic from the original. (Ugh.) .. _`V8's source code`: (https://github.com/v8/v8/blob/master/benchmarks/deltablue.js) """ import pyperf # The JS variant implements "OrderedCollection", which basically completely # overlaps with ``list``. So we'll cheat. :D class OrderedCollection(list): pass class Strength(object): REQUIRED = None STRONG_PREFERRED = None PREFERRED = None STRONG_DEFAULT = None NORMAL = None WEAK_DEFAULT = None WEAKEST = None def __init__(self, strength, name): super(Strength, self).__init__() self.strength = strength self.name = name @classmethod def stronger(cls, s1, s2): return s1.strength < s2.strength @classmethod def weaker(cls, s1, s2): return s1.strength > s2.strength @classmethod def weakest_of(cls, s1, s2): if cls.weaker(s1, s2): return s1 return s2 @classmethod def strongest(cls, s1, s2): if cls.stronger(s1, s2): return s1 return s2 def next_weaker(self): strengths = { 0: self.__class__.WEAKEST, 1: self.__class__.WEAK_DEFAULT, 2: self.__class__.NORMAL, 3: self.__class__.STRONG_DEFAULT, 4: self.__class__.PREFERRED, # TODO: This looks like a bug in the original code. Shouldn't this be # ``STRONG_PREFERRED? Keeping for porting sake... 5: self.__class__.REQUIRED, } return strengths[self.strength] # This is a terrible pattern IMO, but true to the original JS implementation. Strength.REQUIRED = Strength(0, "required") Strength.STRONG_PREFERRED = Strength(1, "strongPreferred") Strength.PREFERRED = Strength(2, "preferred") Strength.STRONG_DEFAULT = Strength(3, "strongDefault") Strength.NORMAL = Strength(4, "normal") Strength.WEAK_DEFAULT = Strength(5, "weakDefault") Strength.WEAKEST = Strength(6, "weakest") class Constraint(object): def __init__(self, strength): super(Constraint, self).__init__() self.strength = strength def add_constraint(self): global planner self.add_to_graph() planner.incremental_add(self) def satisfy(self, mark): global planner self.choose_method(mark) if not self.is_satisfied(): if self.strength == Strength.REQUIRED: print('Could not satisfy a required constraint!') return None self.mark_inputs(mark) out = self.output() overridden = out.determined_by if overridden is not None: overridden.mark_unsatisfied() out.determined_by = self if not planner.add_propagate(self, mark): print('Cycle encountered') out.mark = mark return overridden def destroy_constraint(self): global planner if self.is_satisfied(): planner.incremental_remove(self) else: self.remove_from_graph() def is_input(self): return False class UrnaryConstraint(Constraint): def __init__(self, v, strength): super(UrnaryConstraint, self).__init__(strength) self.my_output = v self.satisfied = False self.add_constraint() def add_to_graph(self): self.my_output.add_constraint(self) self.satisfied = False def choose_method(self, mark): if self.my_output.mark != mark and \ Strength.stronger(self.strength, self.my_output.walk_strength): self.satisfied = True else: self.satisfied = False def is_satisfied(self): return self.satisfied def mark_inputs(self, mark): # No-ops. pass def output(self): # Ugh. Keeping it for consistency with the original. So much for # "we're all adults here"... return self.my_output def recalculate(self): self.my_output.walk_strength = self.strength self.my_output.stay = not self.is_input() if self.my_output.stay: self.execute() def mark_unsatisfied(self): self.satisfied = False def inputs_known(self, mark): return True def remove_from_graph(self): if self.my_output is not None: self.my_output.remove_constraint(self) self.satisfied = False class StayConstraint(UrnaryConstraint): def __init__(self, v, string): super(StayConstraint, self).__init__(v, string) def execute(self): # The methods, THEY DO NOTHING. pass class EditConstraint(UrnaryConstraint): def __init__(self, v, string): super(EditConstraint, self).__init__(v, string) def is_input(self): return True def execute(self): # This constraint also does nothing. pass class Direction(object): # Hooray for things that ought to be structs! NONE = 0 FORWARD = 1 BACKWARD = -1 class BinaryConstraint(Constraint): def __init__(self, v1, v2, strength): super(BinaryConstraint, self).__init__(strength) self.v1 = v1 self.v2 = v2 self.direction = Direction.NONE self.add_constraint() def choose_method(self, mark): if self.v1.mark == mark: if self.v2.mark != mark and Strength.stronger(self.strength, self.v2.walk_strength): self.direction = Direction.FORWARD else: self.direction = Direction.BACKWARD if self.v2.mark == mark: if self.v1.mark != mark and Strength.stronger(self.strength, self.v1.walk_strength): self.direction = Direction.BACKWARD else: self.direction = Direction.NONE if Strength.weaker(self.v1.walk_strength, self.v2.walk_strength): if Strength.stronger(self.strength, self.v1.walk_strength): self.direction = Direction.BACKWARD else: self.direction = Direction.NONE else: if Strength.stronger(self.strength, self.v2.walk_strength): self.direction = Direction.FORWARD else: self.direction = Direction.BACKWARD def add_to_graph(self): self.v1.add_constraint(self) self.v2.add_constraint(self) self.direction = Direction.NONE def is_satisfied(self): return self.direction != Direction.NONE def mark_inputs(self, mark): self.input().mark = mark def input(self): if self.direction == Direction.FORWARD: return self.v1 return self.v2 def output(self): if self.direction == Direction.FORWARD: return self.v2 return self.v1 def recalculate(self): ihn = self.input() out = self.output() out.walk_strength = Strength.weakest_of( self.strength, ihn.walk_strength) out.stay = ihn.stay if out.stay: self.execute() def mark_unsatisfied(self): self.direction = Direction.NONE def inputs_known(self, mark): i = self.input() return i.mark == mark or i.stay or i.determined_by is None def remove_from_graph(self): if self.v1 is not None: self.v1.remove_constraint(self) if self.v2 is not None: self.v2.remove_constraint(self) self.direction = Direction.NONE class ScaleConstraint(BinaryConstraint): def __init__(self, src, scale, offset, dest, strength): self.direction = Direction.NONE self.scale = scale self.offset = offset super(ScaleConstraint, self).__init__(src, dest, strength) def add_to_graph(self): super(ScaleConstraint, self).add_to_graph() self.scale.add_constraint(self) self.offset.add_constraint(self) def remove_from_graph(self): super(ScaleConstraint, self).remove_from_graph() if self.scale is not None: self.scale.remove_constraint(self) if self.offset is not None: self.offset.remove_constraint(self) def mark_inputs(self, mark): super(ScaleConstraint, self).mark_inputs(mark) self.scale.mark = mark self.offset.mark = mark def execute(self): if self.direction == Direction.FORWARD: self.v2.value = self.v1.value * self.scale.value + self.offset.value else: self.v1.value = ( self.v2.value - self.offset.value) / self.scale.value def recalculate(self): ihn = self.input() out = self.output() out.walk_strength = Strength.weakest_of( self.strength, ihn.walk_strength) out.stay = ihn.stay and self.scale.stay and self.offset.stay if out.stay: self.execute() class EqualityConstraint(BinaryConstraint): def execute(self): self.output().value = self.input().value class Variable(object): def __init__(self, name, initial_value=0): super(Variable, self).__init__() self.name = name self.value = initial_value self.constraints = OrderedCollection() self.determined_by = None self.mark = 0 self.walk_strength = Strength.WEAKEST self.stay = True def __repr__(self): # To make debugging this beast from pdb easier... return '' % ( self.name, self.value ) def add_constraint(self, constraint): self.constraints.append(constraint) def remove_constraint(self, constraint): self.constraints.remove(constraint) if self.determined_by == constraint: self.determined_by = None class Planner(object): def __init__(self): super(Planner, self).__init__() self.current_mark = 0 def incremental_add(self, constraint): mark = self.new_mark() overridden = constraint.satisfy(mark) while overridden is not None: overridden = overridden.satisfy(mark) def incremental_remove(self, constraint): out = constraint.output() constraint.mark_unsatisfied() constraint.remove_from_graph() unsatisfied = self.remove_propagate_from(out) strength = Strength.REQUIRED # Do-while, the Python way. repeat = True while repeat: for u in unsatisfied: if u.strength == strength: self.incremental_add(u) strength = strength.next_weaker() repeat = strength != Strength.WEAKEST def new_mark(self): self.current_mark += 1 return self.current_mark def make_plan(self, sources): mark = self.new_mark() plan = Plan() todo = sources while len(todo): c = todo.pop(0) if c.output().mark != mark and c.inputs_known(mark): plan.add_constraint(c) c.output().mark = mark self.add_constraints_consuming_to(c.output(), todo) return plan def extract_plan_from_constraints(self, constraints): sources = OrderedCollection() for c in constraints: if c.is_input() and c.is_satisfied(): sources.append(c) return self.make_plan(sources) def add_propagate(self, c, mark): todo = OrderedCollection() todo.append(c) while len(todo): d = todo.pop(0) if d.output().mark == mark: self.incremental_remove(c) return False d.recalculate() self.add_constraints_consuming_to(d.output(), todo) return True def remove_propagate_from(self, out): out.determined_by = None out.walk_strength = Strength.WEAKEST out.stay = True unsatisfied = OrderedCollection() todo = OrderedCollection() todo.append(out) while len(todo): v = todo.pop(0) for c in v.constraints: if not c.is_satisfied(): unsatisfied.append(c) determining = v.determined_by for c in v.constraints: if c != determining and c.is_satisfied(): c.recalculate() todo.append(c.output()) return unsatisfied def add_constraints_consuming_to(self, v, coll): determining = v.determined_by cc = v.constraints for c in cc: if c != determining and c.is_satisfied(): # I guess we're just updating a reference (``coll``)? Seems # inconsistent with the rest of the implementation, where they # return the lists... coll.append(c) class Plan(object): def __init__(self): super(Plan, self).__init__() self.v = OrderedCollection() def add_constraint(self, c): self.v.append(c) def __len__(self): return len(self.v) def __getitem__(self, index): return self.v[index] def execute(self): for c in self.v: c.execute() # Main def chain_test(n): """ This is the standard DeltaBlue benchmark. A long chain of equality constraints is constructed with a stay constraint on one end. An edit constraint is then added to the opposite end and the time is measured for adding and removing this constraint, and extracting and executing a constraint satisfaction plan. There are two cases. In case 1, the added constraint is stronger than the stay constraint and values must propagate down the entire length of the chain. In case 2, the added constraint is weaker than the stay constraint so it cannot be accomodated. The cost in this case is, of course, very low. Typical situations lie somewhere between these two extremes. """ global planner planner = Planner() prev, first, last = None, None, None # We need to go up to n inclusively. for i in range(n + 1): name = "v%s" % i v = Variable(name) if prev is not None: EqualityConstraint(prev, v, Strength.REQUIRED) if i == 0: first = v if i == n: last = v prev = v StayConstraint(last, Strength.STRONG_DEFAULT) edit = EditConstraint(first, Strength.PREFERRED) edits = OrderedCollection() edits.append(edit) plan = planner.extract_plan_from_constraints(edits) for i in range(100): first.value = i plan.execute() if last.value != i: print("Chain test failed.") def projection_test(n): """ This test constructs a two sets of variables related to each other by a simple linear transformation (scale and offset). The time is measured to change a variable on either side of the mapping and to change the scale and offset factors. """ global planner planner = Planner() scale = Variable("scale", 10) offset = Variable("offset", 1000) src = None dests = OrderedCollection() for i in range(n): src = Variable("src%s" % i, i) dst = Variable("dst%s" % i, i) dests.append(dst) StayConstraint(src, Strength.NORMAL) ScaleConstraint(src, scale, offset, dst, Strength.REQUIRED) change(src, 17) if dst.value != 1170: print("Projection 1 failed") change(dst, 1050) if src.value != 5: print("Projection 2 failed") change(scale, 5) for i in range(n - 1): if dests[i].value != (i * 5 + 1000): print("Projection 3 failed") change(offset, 2000) for i in range(n - 1): if dests[i].value != (i * 5 + 2000): print("Projection 4 failed") def change(v, new_value): global planner edit = EditConstraint(v, Strength.PREFERRED) edits = OrderedCollection() edits.append(edit) plan = planner.extract_plan_from_constraints(edits) for i in range(10): v.value = new_value plan.execute() edit.destroy_constraint() # HOORAY FOR GLOBALS... Oh wait. # In spirit of the original, we'll keep it, but ugh. planner = None def delta_blue(n): chain_test(n) projection_test(n) if __name__ == "__main__": runner = pyperf.Runner() runner.metadata['description'] = "DeltaBlue benchmark" n = 100 runner.bench_func('deltablue', delta_blue, n) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_django_template/000077500000000000000000000000001514162565100272705ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_django_template/pyproject.toml000066400000000000000000000004471514162565100322110ustar00rootroot00000000000000[project] name = "pyperformance_bm_django_template" requires-python = ">=3.10" dependencies = [ "pyperf", "django", "legacy-cgi", ] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "django_template" tags = "template" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_django_template/requirements.txt000066400000000000000000000001111514162565100325450ustar00rootroot00000000000000asgiref==3.3.4 django==3.2.4 pytz==2021.1 sqlparse==0.4.1 legacy-cgi==2.6pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_django_template/run_benchmark.py000066400000000000000000000026011514162565100324570ustar00rootroot00000000000000"""Test the performance of the Django template system. This will have Django generate a 150x150-cell HTML table. """ import pyperf import django.conf from django.template import Context, Template # 2016-10-10: Python 3.6 takes 380 ms DEFAULT_SIZE = 100 def bench_django_template(runner, size): template = Template(""" {% for row in table %} {% for col in row %}{% endfor %} {% endfor %}
{{ col|escape }}
""") table = [range(size) for _ in range(size)] context = Context({"table": table}) runner.bench_func('django_template', template.render, context) def prepare_cmd(runner, cmd): cmd.append("--table-size=%s" % runner.args.table_size) if __name__ == "__main__": django.conf.settings.configure(TEMPLATES=[{ 'BACKEND': 'django.template.backends.django.DjangoTemplates', }]) django.setup() runner = pyperf.Runner() cmd = runner.argparser cmd.add_argument("--table-size", type=int, default=DEFAULT_SIZE, help="Size of the HTML table, height and width " "(default: %s)" % DEFAULT_SIZE) args = runner.parse_args() runner.metadata['description'] = "Django template" runner.metadata['django_version'] = django.__version__ runner.metadata['django_table_size'] = args.table_size bench_django_template(runner, args.table_size) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/000077500000000000000000000000001514162565100257615ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/000077500000000000000000000000001514162565100266725ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/000077500000000000000000000000001514162565100276225ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/api/000077500000000000000000000000001514162565100303735ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/api/publisher.txt000066400000000000000000000245111514162565100331340ustar00rootroot00000000000000======================== The Docutils Publisher ======================== :Author: David Goodger :Contact: docutils-develop@lists.sourceforge.net :Date: $Date$ :Revision: $Revision$ :Copyright: This document has been placed in the public domain. .. contents:: The ``docutils.core.Publisher`` class is the core of Docutils, managing all the processing and relationships between components. See `PEP 258`_ for an overview of Docutils components. The ``docutils.core.publish_*`` convenience functions are the normal entry points for using Docutils as a library. See `Inside A Docutils Command-Line Front-End Tool`_ for an overview of a typical Docutils front-end tool, including how the Publisher class is used. .. _PEP 258: ../peps/pep-0258.html .. _Inside A Docutils Command-Line Front-End Tool: ../howto/cmdline-tool.html Publisher Convenience Functions =============================== Each of these functions set up a ``docutils.core.Publisher`` object, then call its ``publish`` method. ``docutils.core.Publisher.publish`` handles everything else. There are several convenience functions in the ``docutils.core`` module: :_`publish_cmdline()`: for command-line front-end tools, like ``rst2html.py``. There are several examples in the ``tools/`` directory. A detailed analysis of one such tool is in `Inside A Docutils Command-Line Front-End Tool`_ :_`publish_file()`: for programmatic use with file-like I/O. In addition to writing the encoded output to a file, also returns the encoded output as a string. :_`publish_string()`: for programmatic use with string I/O. Returns the encoded output as a string. :_`publish_parts()`: for programmatic use with string input; returns a dictionary of document parts. Dictionary keys are the names of parts, and values are Unicode strings; encoding is up to the client. Useful when only portions of the processed document are desired. See `publish_parts() Details`_ below. There are usage examples in the `docutils/examples.py`_ module. :_`publish_doctree()`: for programmatic use with string input; returns a Docutils document tree data structure (doctree). The doctree can be modified, pickled & unpickled, etc., and then reprocessed with `publish_from_doctree()`_. :_`publish_from_doctree()`: for programmatic use to render from an existing document tree data structure (doctree); returns the encoded output as a string. :_`publish_programmatically()`: for custom programmatic use. This function implements common code and is used by ``publish_file``, ``publish_string``, and ``publish_parts``. It returns a 2-tuple: the encoded string output and the Publisher object. .. _Inside A Docutils Command-Line Front-End Tool: ../howto/cmdline-tool.html .. _docutils/examples.py: ../../docutils/examples.py Configuration ------------- To pass application-specific setting defaults to the Publisher convenience functions, use the ``settings_overrides`` parameter. Pass a dictionary of setting names & values, like this:: overrides = {'input_encoding': 'ascii', 'output_encoding': 'latin-1'} output = publish_string(..., settings_overrides=overrides) Settings from command-line options override configuration file settings, and they override application defaults. For details, see `Docutils Runtime Settings`_. See `Docutils Configuration`_ for details about individual settings. .. _Docutils Runtime Settings: ./runtime-settings.html .. _Docutils Configuration: ../user/config.html Encodings --------- The default output encoding of Docutils is UTF-8. Docutils may introduce some non-ASCII text if you use `auto-symbol footnotes`_ or the `"contents" directive`_. .. _auto-symbol footnotes: ../ref/rst/restructuredtext.html#auto-symbol-footnotes .. _"contents" directive: ../ref/rst/directives.html#table-of-contents ``publish_parts()`` Details =========================== The ``docutils.core.publish_parts()`` convenience function returns a dictionary of document parts. Dictionary keys are the names of parts, and values are Unicode strings. Each Writer component may publish a different set of document parts, described below. Not all writers implement all parts. Parts Provided By All Writers ----------------------------- _`encoding` The output encoding setting. _`version` The version of Docutils used. _`whole` ``parts['whole']`` contains the entire formatted document. Parts Provided By the HTML Writers ---------------------------------- HTML4 Writer ```````````` _`body` ``parts['body']`` is equivalent to parts['fragment_']. It is *not* equivalent to parts['html_body_']. _`body_prefix` ``parts['body_prefix']`` contains::
and, if applicable::
...
_`body_pre_docinfo` ``parts['body_pre_docinfo]`` contains (as applicable)::

...

...

_`body_suffix` ``parts['body_suffix']`` contains::
(the end-tag for ``
``), the footer division if applicable::
...
and:: _`docinfo` ``parts['docinfo']`` contains the document bibliographic data, the docinfo field list rendered as a table. _`footer` ``parts['footer']`` contains the document footer content, meant to appear at the bottom of a web page, or repeated at the bottom of every printed page. _`fragment` ``parts['fragment']`` contains the document body (*not* the HTML ````). In other words, it contains the entire document, less the document title, subtitle, docinfo, header, and footer. _`head` ``parts['head']`` contains ```` tags and the document ``...``. _`head_prefix` ``parts['head_prefix']`` contains the XML declaration, the DOCTYPE declaration, the ```` start tag and the ```` start tag. _`header` ``parts['header']`` contains the document header content, meant to appear at the top of a web page, or repeated at the top of every printed page. _`html_body` ``parts['html_body']`` contains the HTML ```` content, less the ```` and ```` tags themselves. _`html_head` ``parts['html_head']`` contains the HTML ```` content, less the stylesheet link and the ```` and ```` tags themselves. Since ``publish_parts`` returns Unicode strings and does not know about the output encoding, the "Content-Type" meta tag's "charset" value is left unresolved, as "%s":: The interpolation should be done by client code. _`html_prolog` ``parts['html_prolog]`` contains the XML declaration and the doctype declaration. The XML declaration's "encoding" attribute's value is left unresolved, as "%s":: The interpolation should be done by client code. _`html_subtitle` ``parts['html_subtitle']`` contains the document subtitle, including the enclosing ``

`` & ``

`` tags. _`html_title` ``parts['html_title']`` contains the document title, including the enclosing ``

`` & ``

`` tags. _`meta` ``parts['meta']`` contains all ```` tags. _`stylesheet` ``parts['stylesheet']`` contains the embedded stylesheet or stylesheet link. _`subtitle` ``parts['subtitle']`` contains the document subtitle text and any inline markup. It does not include the enclosing ``

`` & ``

`` tags. _`title` ``parts['title']`` contains the document title text and any inline markup. It does not include the enclosing ``

`` & ``

`` tags. PEP/HTML Writer ``````````````` The PEP/HTML writer provides the same parts as the `HTML4 writer`_, plus the following: _`pepnum` ``parts['pepnum']`` contains S5/HTML Writer `````````````` The S5/HTML writer provides the same parts as the `HTML4 writer`_. HTML5 Writer ```````````` The HTML5 writer provides the same parts as the `HTML4 writer`_. However, it uses semantic HTML5 elements for the document, header and footer. Parts Provided by the LaTeX2e Writer ------------------------------------ See the template files for examples how these parts can be combined into a valid LaTeX document. abstract ``parts['abstract']`` contains the formatted content of the 'abstract' docinfo field. body ``parts['body']`` contains the document's content. In other words, it contains the entire document, except the document title, subtitle, and docinfo. This part can be included into another LaTeX document body using the ``\input{}`` command. body_pre_docinfo ``parts['body_pre_docinfo]`` contains the ``\maketitle`` command. dedication ``parts['dedication']`` contains the formatted content of the 'dedication' docinfo field. docinfo ``parts['docinfo']`` contains the document bibliographic data, the docinfo field list rendered as a table. With ``--use-latex-docinfo`` 'author', 'organization', 'contact', 'address' and 'date' info is moved to titledata. 'dedication' and 'abstract' are always moved to separate parts. fallbacks ``parts['fallbacks']`` contains fallback definitions for Docutils-specific commands and environments. head_prefix ``parts['head_prefix']`` contains the declaration of documentclass and document options. latex_preamble ``parts['latex_preamble']`` contains the argument of the ``--latex-preamble`` option. pdfsetup ``parts['pdfsetup']`` contains the PDF properties ("hyperref" package setup). requirements ``parts['requirements']`` contains required packages and setup before the stylesheet inclusion. stylesheet ``parts['stylesheet']`` contains the embedded stylesheet(s) or stylesheet loading command(s). subtitle ``parts['subtitle']`` contains the document subtitle text and any inline markup. title ``parts['title']`` contains the document title text and any inline markup. titledata ``parts['titledata]`` contains the combined title data in ``\title``, ``\author``, and ``\data`` macros. With ``--use-latex-docinfo``, this includes the 'author', 'organization', 'contact', 'address' and 'date' docinfo items. runtime-settings.txt000066400000000000000000000141101514162565100343730ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/api=========================== Docutils Runtime Settings =========================== :Author: David Goodger, Günter Milde :Contact: docutils-develop@lists.sourceforge.net :Date: $Date$ :Revision: $Revision$ :Copyright: This document has been placed in the public domain. .. contents:: Introduction ============ Docutils runtime settings are assembled from several sources: * Settings specifications of the selected components_, * `configuration files`_ (if enabled), and * command-line options (if enabled). Docutils overlays default and explicitly specified values from these sources such that settings behave the way we want and expect them to behave. Settings priority ================= The sources are overlaid in the following order (later sources overwrite earlier ones): 1. Defaults specified in the `settings_spec`__ and `settings_defaults`__ attributes for each component_. __ SettingsSpec.settings_spec_ __ SettingsSpec.settings_defaults_ 2. Defaults specified in the `settings_default_overrides`__ attribute for each component_. __ SettingsSpec.settings_default_overrides_ 3. Settings specified in the `settings_overrides`__ parameter of the `convenience functions`_ resp. the `settings_overrides` attribute of a `Publisher`_ instance. __ `settings_overrides parameter`_ 4. Settings specified in `active sections`_ of the `configuration files`_ in the order described in `Configuration File Sections & Entries`_ (if enabled). 5. Command line options (if enabled). For details see the ``docutils/__init__.py``, ``docutils/core.py``, and ``docutils.frontend.py`` modules and the implementation description in `Runtime Settings Processing`_. .. _SettingsSpec: SettingsSpec base class ======================= .. note:: Implementation details will change with the move to replace the deprecated optparse_ module with argparse_. The `docutils.SettingsSpec` base class is inherited by Docutils components_ and `frontend.OptionParser`. It defines the following six **attributes**: .. _SettingsSpec.settings_spec: `settings_spec` a sequence of 1. option group title (string or None) 2. description (string or None) 3. option tuples with a) help text b) options string(s) c) dictionary with keyword arguments for `OptionParser.add_option()`_ and an optional "validator", a `frontend.validate_*()` function that processes the values (e.g. convert to other data types). For examples, see the source of ``frontend.OptionParser.settings_spec`` or the `settings_spec` attributes of the Docutils components_. .. _SettingsSpec.settings_defaults: `settings_defaults` for purely programmatic settings (not accessible from command line and configuration files). .. _SettingsSpec.settings_default_overrides: `settings_default_overrides` to override defaults for settings defined in other components' `setting_specs`. `relative_path_settings` listing settings containing filesystem paths. .. _active sections: `config_section` the configuration file section specific to this component. `config_section_dependencies` lists configuration files sections that should also be read (before the `config_section`). The last two attributes define which configuration file sections are "active". See also `Configuration File Sections & Entries`_. Glossary ======== .. _component: components ---------- Docutils front-ends and applications combine a selection of *components* of the `Docutils Project Model`_. All components inherit the `SettingsSpec`_ base class. This means that all instances of ``readers.Reader``, ``parsers.Parser``, and ``writers.Writer`` are also instances of ``docutils.SettingsSpec``. For the determination of runtime settings, ``frontend.OptionParser`` and the `settings_spec parameter`_ in application settings specifications are treated as components as well. .. _convenience function: convenience functions --------------------- Applications usually deploy Docutils by one of the `Publisher convenience functions`_. All convenience functions accept the following optional parameters: .. _settings parameter: `settings` a ``frontend.Values`` instance. If present, it must be complete. No further runtime settings processing is done and the following parameters have no effect. .. _settings_spec parameter: `settings_spec` a `SettingsSpec`_ subclass or instance containing the settings specification for the "Application" itself. The instance is added to the components_ (after the generic settings, parser, reader, and writer). .. _settings_overrides parameter: `settings_overrides` a dictionary which is used to update the defaults of the components' settings specifications. .. _config_section parameter: `config_section` the name of an application-specific `configuration file section`_ for this application. Can be specified instead of a `settings_spec` (a new SettingsSpec_ instance that just defines a configuration section will be created) or in addition to a `settings_spec` (overriding its `config_section` attribute). settings_spec ------------- The name ``settings_spec`` may refer to a) an instance of the SettingsSpec_ class, or b) the data structure `SettingsSpec.settings_spec`_ which is used to store settings details. .. References: .. _Publisher: publisher.html .. _Publisher convenience functions: publisher.html#publisher-convenience-functions .. _front-end tools: ../user/tools.html .. _configuration files: .. _Docutils Configuration: ../user/config.html#configuration-files .. _configuration file section: .. _Configuration File Sections & Entries: ../user/config.html#configuration-file-sections-entries .. _Docutils Project Model: ../peps/pep-0258.html#docutils-project-model .. _Reader: ../peps/pep-0258.html#reader .. _Runtime Settings Processing: ../dev/runtime-settings-processing.html .. _optparse: https://docs.python.org/dev/library/optparse.html .. _argparse: https://docs.python.org/dev/library/argparse.html .. _OptionParser.add_option(): https://docs.python.org/dev/library/optparse.html #optparse.OptionParser.add_option pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/api/transforms.txt000066400000000000000000000142761514162565100333440ustar00rootroot00000000000000===================== Docutils Transforms ===================== :Author: David Goodger :Contact: docutils-develop@lists.sourceforge.net :Revision: $Revision$ :Date: $Date$ :Copyright: This document has been placed in the public domain. .. contents:: Transforms change the document tree in-place, add to the tree, or prune it. Transforms resolve references and footnote numbers, process interpreted text, and do other context-sensitive processing. Each transform is a subclass of ``docutils.transforms.Transform``. There are `transforms added by components`_, others (e.g. ``parts.Contents``) are added by the parser, if a corresponding directive is found in the document. To add a transform, components (objects inheriting from Docutils.Component like Readers, Parsers, Writers, Input, Output) overwrite the ``get_transforms()`` method of their base class. After the Reader has finished processing, the Publisher calls ``Transformer.populate_from_components()`` with a list of components and all transforms returned by the component's ``get_transforms()`` method are stored in a `transformer object` attached to the document tree. For more about transforms and the Transformer object, see also `PEP 258`_. (The ``default_transforms()`` attribute of component classes mentioned there is deprecated. Use the ``get_transforms()`` method instead.) .. _PEP 258: ../peps/pep-0258.html#transformer Transforms Listed in Priority Order =================================== Transform classes each have a default_priority attribute which is used by the Transformer to apply transforms in order (low to high). The default priority can be overridden when adding transforms to the Transformer object. ============================== ============================ ======== Transform: module.Class Added By Priority ============================== ============================ ======== misc.class "class" (d/p) 210 references.Substitutions standalone (r), pep (r) 220 references.PropagateTargets standalone (r), pep (r) 260 frontmatter.DocTitle standalone (r) 320 frontmatter.DocInfo standalone (r) 340 frontmatter.SectSubTitle standalone (r) 350 peps.Headers pep (r) 360 peps.Contents pep (r) 380 universal.StripClasses... Writer (w) 420 references.AnonymousHyperlinks standalone (r), pep (r) 440 references.IndirectHyperlinks standalone (r), pep (r) 460 peps.TargetNotes pep (r) 520 references.TargetNotes peps.TargetNotes (t/p) 0 misc.CallBack peps.TargetNotes (t/p) 1 references.TargetNotes "target-notes" (d/p) 540 references.Footnotes standalone (r), pep (r) 620 references.ExternalTargets standalone (r), pep (r) 640 references.InternalTargets standalone (r), pep (r) 660 parts.SectNum "sectnum" (d/p) 710 parts.Contents "contents" (d/p), 720 peps.Contents (t/p) universal.StripComments Reader (r) 740 peps.PEPZero peps.Headers (t/p) 760 components.Filter *not used* 780 universal.Decorations Reader (r) 820 misc.Transitions standalone (r), pep (r) 830 universal.ExposeInternals Reader (r) 840 references.DanglingReferences standalone (r), pep (r) 850 universal.SmartQuotes Parser 855 universal.Messages Writer (w) 860 universal.FilterMessages Writer (w) 870 universal.TestMessages DocutilsTestSupport 880 writer_aux.Compound *not used, to be removed* 910 writer_aux.Admonitions html4css1 (w), 920 latex2e (w) misc.CallBack n/a 990 ============================== ============================ ======== Key: * (r): Reader * (w): Writer * (d): Directive * (t): Transform * (/p): Via a "pending" node Transform Priority Range Categories =================================== ==== ==== ================================================ Priority ---------- ------------------------------------------------ From To Category ==== ==== ================================================ 0 99 immediate execution (added by another transform) 100 199 very early (non-standard) 200 299 very early 300 399 early 400 699 main 700 799 late 800 899 very late 900 999 very late (non-standard) ==== ==== ================================================ Transforms added by components =============================== readers.Reader: | universal.Decorations, | universal.ExposeInternals, | universal.StripComments readers.ReReader: None readers.standalone.Reader: | references.Substitutions, | references.PropagateTargets, | frontmatter.DocTitle, | frontmatter.SectionSubTitle, | frontmatter.DocInfo, | references.AnonymousHyperlinks, | references.IndirectHyperlinks, | references.Footnotes, | references.ExternalTargets, | references.InternalTargets, | references.DanglingReferences, | misc.Transitions readers.pep.Reader: | references.Substitutions, | references.PropagateTargets, | references.AnonymousHyperlinks, | references.IndirectHyperlinks, | references.Footnotes, | references.ExternalTargets, | references.InternalTargets, | references.DanglingReferences, | misc.Transitions, | peps.Headers, | peps.Contents, | peps.TargetNotes parsers.rst.Parser universal.SmartQuotes writers.Writer: | universal.Messages, | universal.FilterMessages, | universal.StripClassesAndElements writers.UnfilteredWriter None writers.latex2e.Writer writer_aux.Admonitions writers.html4css1.Writer: writer_aux.Admonitions writers.odf_odt.Writer: removes references.DanglingReferences pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/dev/000077500000000000000000000000001514162565100304005ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/dev/distributing.txt000066400000000000000000000106621514162565100336550ustar00rootroot00000000000000=============================== Docutils_ Distributor's Guide =============================== :Author: Lea Wiemann :Contact: docutils-develop@lists.sourceforge.net :Revision: $Revision$ :Date: $Date$ :Copyright: This document has been placed in the public domain. .. _Docutils: https://docutils.sourceforge.io/ .. contents:: This document describes how to create packages of Docutils (e.g. for shipping with a Linux distribution). If you have any questions, please direct them to the Docutils-develop_ mailing list. First, please download the most current `release tarball`_ and unpack it. .. _Docutils-develop: ../user/mailing-lists.html#docutils-develop .. _release tarball: https://docutils.sourceforge.io/#download Dependencies ============ Docutils has the following dependencies: * Python 3.7 or later is required. Use ">= Python 3.7" in the dependencies. * Docutils may optionally make use of the PIL (`Python Imaging Library`_ or Pillow_). If PIL is present, it is automatically detected by Docutils. * Docutils recommends the `Pygments`_ syntax hightlighter. If available, it is used for highlighting the content of `code directives`_ and roles as well as included source code files (with the "code" option to the include_ directive). * Docutils can use the `recommonmark`_ parser to parse input in the Markdown format (new in 0.17). .. _Python Imaging Library: https://en.wikipedia.org/wiki/Python_Imaging_Library .. _Pillow: https://pypi.org/project/Pillow/ .. _Pygments: https://pygments.org/ .. _recommonmark: https://pypi.org/project/recommonmark/ .. _code directives: ../ref/rst/directives.html#code .. _include: ../ref/rst/directives.html#include Python Files ============ The Docutils Python files must be installed into the ``site-packages/`` directory of Python. Running ``python setup.py install`` should do the trick, but if you want to place the files yourself, you can just install the ``docutils/`` directory of the Docutils tarball to ``/usr/lib/python/site-packages/docutils/``. In this case you should also compile the Python files to ``.pyc`` and/or ``.pyo`` files so that Docutils doesn't need to be recompiled every time it's executed. Executables =========== The executable front-end tools are located in the ``tools/`` directory of the Docutils tarball. The ``rst2*.py`` tools are intended for end-users. You should install them to ``/usr/bin/``. You do not need to change the names (e.g. to ``docutils-rst2html.py``) because the ``rst2`` prefix is unique. Documentation ============= The documentation should be generated using ``buildhtml.py``. To generate HTML for all documentation files, go to the ``tools/`` directory and run:: # Place html4css1.css in base directory. cp ../docutils/writers/html4css1/html4css1.css .. ./buildhtml.py --stylesheet-path=../html4css1.css .. Then install the following files to ``/usr/share/doc/docutils/`` (or wherever you install documentation): * All ``.html`` and ``.txt`` files in the base directory. * The ``docs/`` directory. Do not install the contents of the ``docs/`` directory directly to ``/usr/share/doc/docutils/``; it's incomplete and would contain invalid references! * The ``licenses/`` directory. * ``html4css1.css`` in the base directory. Removing the ``.txt`` Files --------------------------- If you are tight with disk space, you can remove all ``.txt`` files in the tree except for: * those in the ``licenses/`` directory because they have not been processed to HTML and * ``user/rst/cheatsheet.txt`` and ``user/rst/demo.txt``, which should be readable in source form. Before you remove the ``.txt`` files you should rerun ``buildhtml.py`` with the ``--no-source-link`` switch to avoid broken references to the source files. Other Files =========== You may want to install the Emacs-Lisp files ``tools/editors/emacs/*.el`` into the appropriate directory. Configuration File ================== It is possible to have a system-wide configuration file at ``/etc/docutils.conf``. However, this is usually not necessary. You should *not* install ``tools/docutils.conf`` into ``/etc/``. Tests ===== While you probably do not need to ship the tests with your distribution, you can test your package by installing it and then running ``alltests.py`` from the ``tests/`` directory of the Docutils tarball. For more information on testing, view the `Docutils Testing`_ page. .. _Docutils Testing: https://docutils.sourceforge.io/docs/dev/testing.html enthought-plan.txt000066400000000000000000000411321514162565100340200ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/dev=========================================== Plan for Enthought API Documentation Tool =========================================== :Author: David Goodger :Contact: docutils-develop@lists.sourceforge.net :Date: $Date$ :Revision: $Revision$ :Copyright: 2004 by `Enthought, Inc. `_ :License: `Enthought License`_ (BSD-style) .. _Enthought License: https://docutils.sourceforge.io/licenses/enthought.txt This document should be read in conjunction with the `Enthought API Documentation Tool RFP`__ prepared by Janet Swisher. __ enthought-rfp.html .. contents:: .. sectnum:: Introduction ============ In March 2004 at I met Eric Jones, president and CTO of `Enthought, Inc.`_, at `PyCon 2004`_ in Washington DC. He told me that Enthought was using reStructuredText_ for source code documentation, but they had some issues. He asked if I'd be interested in doing some work on a customized API documentation tool. Shortly after PyCon, Janet Swisher, Enthought's senior technical writer, contacted me to work out details. Some email, a trip to Austin in May, and plenty of Texas hospitality later, we had a project. This document will record the details, milestones, and evolution of the project. In a nutshell, Enthought is sponsoring the implementation of an open source API documentation tool that meets their needs. Fortuitously, their needs coincide well with the "Python Source Reader" description in `PEP 258`_. In other words, Enthought is funding some significant improvements to Docutils, improvements that were planned but never implemented due to time and other constraints. The implementation will take place gradually over several months, on a part-time basis. This is an ideal example of cooperation between a corporation and an open-source project. The corporation, the project, I personally, and the community all benefit. Enthought, whose commitment to open source is also evidenced by their sponsorship of SciPy_, benefits by obtaining a useful piece of software, much more quickly than would have been possible without their support. Docutils benefits directly from the implementation of one of its core subsystems. I benefit from the funding, which allows me to justify the long hours to my wife and family. All the corporations, projects, and individuals that make up the community will benefit from the end result, which will be great. All that's left now is to actually do the work! .. _PyCon 2004: http://pycon.org/dc2004/ .. _reStructuredText: https://docutils.sourceforge.io/rst.html .. _SciPy: http://www.scipy.org/ Development Plan ================ 1. Analyze prior art, most notably Epydoc_ and HappyDoc_, to see how they do what they do. I have no desire to reinvent wheels unnecessarily. I want to take the best ideas from each tool, combined with the outline in `PEP 258`_ (which will evolve), and build at least the foundation of the definitive Python auto-documentation tool. .. _Epydoc: http://epydoc.sourceforge.net/ .. _HappyDoc: http://happydoc.sourceforge.net/ .. _PEP 258: https://docutils.sourceforge.io/docs/peps/pep-0258.html#python-source-reader 2. Decide on a base platform. The best way to achieve Enthought's goals in a reasonable time frame may be to extend Epydoc or HappyDoc. Or it may be necessary to start fresh. 3. Extend the reStructuredText parser. See `Proposed Changes to reStructuredText`_ below. 4. Depending on the base platform chosen, build or extend the docstring & doc comment extraction tool. This may be the biggest part of the project, but I won't be able to break it down into details until more is known. Repository ========== If possible, all software and documentation files will be stored in the Subversion repository of Docutils and/or the base project, which are all publicly-available via anonymous pserver access. The Docutils project is very open about granting Subversion write access; so far, everyone who asked has been given access. Any Enthought staff member who would like Subversion write access will get it. If either Epydoc or HappyDoc is chosen as the base platform, I will ask the project's administrator for CVS access for myself and any Enthought staff member who wants it. If sufficient access is not granted -- although I doubt that there would be any problem -- we may have to begin a fork, which could be hosted on SourceForge, on Enthought's Subversion server, or anywhere else deemed appropriate. Copyright & License =================== Most existing Docutils files have been placed in the public domain, as follows:: :Copyright: This document has been placed in the public domain. This is in conjunction with the "Public Domain Dedication" section of COPYING.txt__. __ https://docutils.sourceforge.io/COPYING.html The code and documentation originating from Enthought funding will have Enthought's copyright and license declaration. While I will try to keep Enthought-specific code and documentation separate from the existing files, there will inevitably be cases where it makes the most sense to extend existing files. I propose the following: 1. New files related to this Enthought-funded work will be identified with the following field-list headers:: :Copyright: 2004 by Enthought, Inc. :License: Enthought License (BSD Style) The license field text will be linked to the license file itself. 2. For significant or major changes to an existing file (more than 10% change), the headers shall change as follows (for example):: :Copyright: 2001-2004 by David Goodger :Copyright: 2004 by Enthought, Inc. :License: BSD-style If the Enthought-funded portion becomes greater than the previously existing portion, Enthought's copyright line will be shown first. 3. In cases of insignificant or minor changes to an existing file (less than 10% change), the public domain status shall remain unchanged. A section describing all of this will be added to the Docutils `COPYING`__ instructions file. If another project is chosen as the base project, similar changes would be made to their files, subject to negotiation. __ https://docutils.sourceforge.io/COPYING.html Proposed Changes to reStructuredText ==================================== Doc Comment Syntax ------------------ The "traits" construct is implemented as dictionaries, where standalone strings would be Python syntax errors. Therefore traits require documentation in comments. We also need a way to differentiate between ordinary "internal" comments and documentation comments (doc comments). Javadoc uses the following syntax for doc comments:: /** * The first line of a multi-line doc comment begins with a slash * and *two* asterisks. The doc comment ends normally. */ Python doesn't have multi-line comments; only single-line. A similar convention in Python might look like this:: ## # The first line of a doc comment begins with *two* hash marks. # The doc comment ends with the first non-comment line. 'data' : AnyValue, ## The double-hash-marks could occur on the first line of text, # saving a line in the source. 'data' : AnyValue, How to indicate the end of the doc comment? :: ## # The first line of a doc comment begins with *two* hash marks. # The doc comment ends with the first non-comment line, or another # double-hash-mark. ## # This is an ordinary, internal, non-doc comment. 'data' : AnyValue, ## First line of a doc comment, terse syntax. # Second (and last) line. Ends here: ## # This is an ordinary, internal, non-doc comment. 'data' : AnyValue, Or do we even need to worry about this case? A simple blank line could be used:: ## First line of a doc comment, terse syntax. # Second (and last) line. Ends with a blank line. # This is an ordinary, internal, non-doc comment. 'data' : AnyValue, Other possibilities:: #" Instead of double-hash-marks, we could use a hash mark and a # quotation mark to begin the doc comment. 'data' : AnyValue, ## We could require double-hash-marks on every line. This has the ## added benefit of delimiting the *end* of the doc comment, as ## well as working well with line wrapping in Emacs ## ("fill-paragraph" command). # Ordinary non-doc comment. 'data' : AnyValue, #" A hash mark and a quotation mark on each line looks funny, and #" it doesn't work well with line wrapping in Emacs. 'data' : AnyValue, These styles (repeated on each line) work well with line wrapping in Emacs:: ## #> #| #- #% #! #* These styles do *not* work well with line wrapping in Emacs:: #" #' #: #) #. #/ #@ #$ #^ #= #+ #_ #~ The style of doc comment indicator used could be a runtime, global and/or per-module setting. That may add more complexity than it's worth though. Recommendation `````````````` I recommend adopting "#*" on every line:: # This is an ordinary non-doc comment. #* This is a documentation comment, with an asterisk after the #* hash marks on every line. 'data' : AnyValue, I initially recommended adopting double-hash-marks:: # This is an ordinary non-doc comment. ## This is a documentation comment, with double-hash-marks on ## every line. 'data' : AnyValue, But Janet Swisher rightly pointed out that this could collide with ordinary comments that are then block-commented. This applies to double-hash-marks on the first line only as well. So they're out. On the other hand, the JavaDoc-comment style ("##" on the first line only, "#" after that) is used in Fredrik Lundh's PythonDoc_. It may be worthwhile to conform to this syntax, reinforcing it as a standard. PythonDoc does not support terse doc comments (text after "##" on the first line). .. _PythonDoc: http://effbot.org/zone/pythondoc.htm Update `````` Enthought's Traits system has switched to a metaclass base, and traits are now defined via ordinary attributes. Therefore doc comments are no longer absolutely necessary; attribute docstrings will suffice. Doc comments may still be desirable though, since they allow documentation to precede the thing being documented. Docstring Density & Whitespace Minimization ------------------------------------------- One problem with extensively documented classes & functions, is that there is a lot of screen space wasted on whitespace. Here's some current Enthought code (from lib/cp/fluids/gassmann.py):: def max_gas(temperature, pressure, api, specific_gravity=.56): """ Computes the maximum dissolved gas in oil using Batzle and Wang (1992). Parameters ---------- temperature : sequence Temperature in degrees Celsius pressure : sequence Pressure in MPa api : sequence Stock tank oil API specific_gravity : sequence Specific gravity of gas at STP, default is .56 Returns ------- max_gor : sequence Maximum dissolved gas in liters/liter Description ----------- This estimate is based on equations given by Mavko, Mukerji, and Dvorkin, (1998, pp. 218-219, or 2003, p. 236) obtained originally from Batzle and Wang (1992). """ code... The docstring is 24 lines long. Rather than using subsections, field lists (which exist now) can save 6 lines:: def max_gas(temperature, pressure, api, specific_gravity=.56): """ Computes the maximum dissolved gas in oil using Batzle and Wang (1992). :Parameters: temperature : sequence Temperature in degrees Celsius pressure : sequence Pressure in MPa api : sequence Stock tank oil API specific_gravity : sequence Specific gravity of gas at STP, default is .56 :Returns: max_gor : sequence Maximum dissolved gas in liters/liter :Description: This estimate is based on equations given by Mavko, Mukerji, and Dvorkin, (1998, pp. 218-219, or 2003, p. 236) obtained originally from Batzle and Wang (1992). """ code... As with the "Description" field above, field bodies may begin on the same line as the field name, which also saves space. The output for field lists is typically a table structure. For example: :Parameters: temperature : sequence Temperature in degrees Celsius pressure : sequence Pressure in MPa api : sequence Stock tank oil API specific_gravity : sequence Specific gravity of gas at STP, default is .56 :Returns: max_gor : sequence Maximum dissolved gas in liters/liter :Description: This estimate is based on equations given by Mavko, Mukerji, and Dvorkin, (1998, pp. 218-219, or 2003, p. 236) obtained originally from Batzle and Wang (1992). But the definition lists describing the parameters and return values are still wasteful of space. There are a lot of half-filled lines. Definition lists are currently defined as:: term : classifier definition Where the classifier part is optional. Ideas for improvements: 1. We could allow multiple classifiers:: term : classifier one : two : three ... definition 2. We could allow the definition on the same line as the term, using some embedded/inline markup: * "--" could be used, but only in limited and well-known contexts:: term -- definition This is the syntax used by StructuredText (one of reStructuredText's predecessors). It was not adopted for reStructuredText because it is ambiguous -- people often use "--" in their text, as I just did. But given a constrained context, the ambiguity would be acceptable (or would it?). That context would be: in docstrings, within a field list, perhaps only with certain well-defined field names (parameters, returns). * The "constrained context" above isn't really enough to make the ambiguity acceptable. Instead, a slightly more verbose but far less ambiguous syntax is possible:: term === definition This syntax has advantages. Equals signs lend themselves to the connotation of "definition". And whereas one or two equals signs are commonly used in program code, three equals signs in a row have no conflicting meanings that I know of. (Update: there *are* uses out there.) The problem with this approach is that using inline markup for structure is inherently ambiguous in reStructuredText. For example, writing *about* definition lists would be difficult:: ``term === definition`` is an example of a compact definition list item The parser checks for structural markup before it does inline markup processing. But the "===" should be protected by its inline literal context. 3. We could allow the definition on the same line as the term, using structural markup. A variation on bullet lists would work well:: : term :: definition : another term :: and a definition that wraps across lines Some ambiguity remains:: : term ``containing :: double colons`` :: definition But the likelihood of such cases is negligible, and they can be covered in the documentation. Other possibilities for the definition delimiter include:: : term : classifier -- definition : term : classifier --- definition : term : classifier : : definition : term : classifier === definition The third idea currently has the best chance of being adopted and implemented. Recommendation `````````````` Combining these ideas, the function definition becomes:: def max_gas(temperature, pressure, api, specific_gravity=.56): """ Computes the maximum dissolved gas in oil using Batzle and Wang (1992). :Parameters: : temperature : sequence :: Temperature in degrees Celsius : pressure : sequence :: Pressure in MPa : api : sequence :: Stock tank oil API : specific_gravity : sequence :: Specific gravity of gas at STP, default is .56 :Returns: : max_gor : sequence :: Maximum dissolved gas in liters/liter :Description: This estimate is based on equations given by Mavko, Mukerji, and Dvorkin, (1998, pp. 218-219, or 2003, p. 236) obtained originally from Batzle and Wang (1992). """ code... The docstring is reduced to 14 lines, from the original 24. For longer docstrings with many parameters and return values, the difference would be more significant. pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/dev/enthought-rfp.txt000066400000000000000000000106631514162565100337410ustar00rootroot00000000000000================================== Enthought API Documentation Tool ================================== ----------------------- Request for Proposals ----------------------- :Author: Janet Swisher, Senior Technical Writer :Organization: `Enthought, Inc. `_ :Copyright: 2004 by Enthought, Inc. :License: `Enthought License`_ (BSD Style) .. _Enthought License: https://docutils.sourceforge.io/licenses/enthought.txt The following is excerpted from the full RFP, and is published here with permission from `Enthought, Inc.`_ See the `Plan for Enthought API Documentation Tool`__. __ enthought-plan.html .. contents:: .. sectnum:: Requirements ============ The documentation tool will address the following high-level goals: Documentation Extraction ------------------------ 1. Documentation will be generated directly from Python source code, drawing from the code structure, docstrings, and possibly other comments. 2. The tool will extract logical constructs as appropriate, minimizing the need for comments that are redundant with the code structure. The output should reflect both documented and undocumented elements. Source Format ------------- 1. The docstrings will be formatted in as terse syntax as possible. Required tags, syntax, and white space should be minimized. 2. The tool must support the use of Traits. Special comment syntax for Traits may be necessary. Information about the Traits package is available at http://code.enthought.com/traits/. In the following example, each trait definition is prefaced by a plain comment:: __traits__ = { # The current selection within the frame. 'selection' : Trait([], TraitInstance(list)), # The frame has been activated or deactivated. 'activated' : TraitEvent(), 'closing' : TraitEvent(), # The frame is closed. 'closed' : TraitEvent(), } 3. Support for ReStructuredText (ReST) format is desirable, because much of the existing docstrings uses ReST. However, the complete ReST specification need not be supported, if a subset can achieve the project goals. If the tool does not support ReST, the contractor should also provide a tool or path to convert existing docstrings. Output Format ------------- 1. Documentation will be output as a navigable suite of HTML files. 2. The style of the HTML files will be customizable by a cascading style sheet and/or a customizable template. 3. Page elements such as headers and footer should be customizable, to support differing requirements from one documentation project to the next. Output Structure and Navigation ------------------------------- 1. The navigation scheme for the HTML files should not rely on frames, and should harmonize with conversion to Microsoft HTML Help (.chm) format. 2. The output should be structured to make navigable the architecture of the Python code. Packages, modules, classes, traits, and functions should be presented in clear, logical hierarchies. Diagrams or trees for inheritance, collaboration, sub-packaging, etc. are desirable but not required. 3. The output must include indexes that provide a comprehensive view of all packages, modules, and classes. These indexes will provide readers with a clear and exhaustive view of the code base. These indexes should be presented in a way that is easily accessible and allows easy navigation. 4. Cross-references to other documented elements will be used throughout the documentation, to enable the reader to move quickly relevant information. For example, where type information for an element is available, the type definition should be cross-referenced. 5. The HTML suite should provide consistent navigation back to the home page, which will include the following information: * Bibliographic information - Author - Copyright - Release date - Version number * Abstract * References - Links to related internal docs (i.e., other docs for the same product) - Links to related external docs (e.g., supporting development docs, Python support docs, docs for included packages) It should be possible to specify similar information at the top level of each package, so that packages can be included as appropriate for a given application. License ======= Enthought intends to release the software under an open-source ("BSD-style") license. pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/dev/hacking.txt000066400000000000000000000217241514162565100325530ustar00rootroot00000000000000========================== Docutils_ Hacker's Guide ========================== :Author: Lea Wiemann :Contact: docutils-develop@lists.sourceforge.net :Revision: $Revision$ :Date: $Date$ :Copyright: This document has been placed in the public domain. :Abstract: This is the introduction to Docutils for all persons who want to extend Docutils in some way. :Prerequisites: You have used reStructuredText_ and played around with the `Docutils front-end tools`_ before. Some (basic) Python knowledge is certainly helpful (though not necessary, strictly speaking). .. _Docutils: https://docutils.sourceforge.io/ .. _reStructuredText: https://docutils.sourceforge.io/rst.html .. _Docutils front-end tools: ../user/tools.html .. contents:: Overview of the Docutils Architecture ===================================== To give you an understanding of the Docutils architecture, we'll dive right into the internals using a practical example. Consider the following reStructuredText file:: My *favorite* language is Python_. .. _Python: https://www.python.org/ Using the ``rst2html.py`` front-end tool, you would get an HTML output which looks like this:: [uninteresting HTML code removed]

My favorite language is Python.

While this looks very simple, it's enough to illustrate all internal processing stages of Docutils. Let's see how this document is processed from the reStructuredText source to the final HTML output: Reading the Document -------------------- The **Reader** reads the document from the source file and passes it to the parser (see below). The default reader is the standalone reader (``docutils/readers/standalone.py``) which just reads the input data from a single text file. Unless you want to do really fancy things, there is no need to change that. Since you probably won't need to touch readers, we will just move on to the next stage: Parsing the Document -------------------- The **Parser** analyzes the the input document and creates a **node tree** representation. In this case we are using the **reStructuredText parser** (``docutils/parsers/rst/__init__.py``). To see what that node tree looks like, we call ``quicktest.py`` (which can be found in the ``tools/`` directory of the Docutils distribution) with our example file (``test.txt``) as first parameter (Windows users might need to type ``python quicktest.py test.txt``):: $ quicktest.py test.txt My favorite language is Python . Let us now examine the node tree: The top-level node is ``document``. It has a ``source`` attribute whose value is ``text.txt``. There are two children: A ``paragraph`` node and a ``target`` node. The ``paragraph`` in turn has children: A text node ("My "), an ``emphasis`` node, a text node (" language is "), a ``reference`` node, and again a ``Text`` node ("."). These node types (``document``, ``paragraph``, ``emphasis``, etc.) are all defined in ``docutils/nodes.py``. The node types are internally arranged as a class hierarchy (for example, both ``emphasis`` and ``reference`` have the common superclass ``Inline``). To get an overview of the node class hierarchy, use epydoc (type ``epydoc nodes.py``) and look at the class hierarchy tree. Transforming the Document ------------------------- In the node tree above, the ``reference`` node does not contain the target URI (``https://www.python.org/``) yet. Assigning the target URI (from the ``target`` node) to the ``reference`` node is *not* done by the parser (the parser only translates the input document into a node tree). Instead, it's done by a **Transform**. In this case (resolving a reference), it's done by the ``ExternalTargets`` transform in ``docutils/transforms/references.py``. In fact, there are quite a lot of Transforms, which do various useful things like creating the table of contents, applying substitution references or resolving auto-numbered footnotes. The Transforms are applied after parsing. To see how the node tree has changed after applying the Transforms, we use the ``rst2pseudoxml.py`` tool: .. parsed-literal:: $ rst2pseudoxml.py test.txt My favorite language is Python . For our small test document, the only change is that the ``refname`` attribute of the reference has been replaced by a ``refuri`` attribute |---| the reference has been resolved. While this does not look very exciting, transforms are a powerful tool to apply any kind of transformation on the node tree. By the way, you can also get a "real" XML representation of the node tree by using ``rst2xml.py`` instead of ``rst2pseudoxml.py``. Writing the Document -------------------- To get an HTML document out of the node tree, we use a **Writer**, the HTML writer in this case (``docutils/writers/html4css1.py``). The writer receives the node tree and returns the output document. For HTML output, we can test this using the ``rst2html.py`` tool:: $ rst2html.py --link-stylesheet test.txt

My favorite language is Python.

So here we finally have our HTML output. The actual document contents are in the fourth-last line. Note, by the way, that the HTML writer did not render the (invisible) ``target`` node |---| only the ``paragraph`` node and its children appear in the HTML output. Extending Docutils ================== Now you'll ask, "how do I actually extend Docutils?" First of all, once you are clear about *what* you want to achieve, you have to decide *where* to implement it |---| in the Parser (e.g. by adding a directive or role to the reStructuredText parser), as a Transform, or in the Writer. There is often one obvious choice among those three (Parser, Transform, Writer). If you are unsure, ask on the Docutils-develop_ mailing list. In order to find out how to start, it is often helpful to look at similar features which are already implemented. For example, if you want to add a new directive to the reStructuredText parser, look at the implementation of a similar directive in ``docutils/parsers/rst/directives/``. Modifying the Document Tree Before It Is Written ------------------------------------------------ You can modify the document tree right before the writer is called. One possibility is to use the publish_doctree_ and publish_from_doctree_ functions. To retrieve the document tree, call:: document = docutils.core.publish_doctree(...) Please see the docstring of publish_doctree for a list of parameters. .. XXX Need to write a well-readable list of (commonly used) options of the publish_* functions. Probably in api/publisher.txt. ``document`` is the root node of the document tree. You can now change the document by accessing the ``document`` node and its children |---| see `The Node Interface`_ below. When you're done with modifying the document tree, you can write it out by calling:: output = docutils.core.publish_from_doctree(document, ...) .. _publish_doctree: ../api/publisher.html#publish_doctree .. _publish_from_doctree: ../api/publisher.html#publish_from_doctree The Node Interface ------------------ As described in the overview above, Docutils' internal representation of a document is a tree of nodes. We'll now have a look at the interface of these nodes. (To be completed.) What Now? ========= This document is not complete. Many topics could (and should) be covered here. To find out with which topics we should write about first, we are awaiting *your* feedback. So please ask your questions on the Docutils-develop_ mailing list. .. _Docutils-develop: ../user/mailing-lists.html#docutils-develop .. |---| unicode:: 8212 .. em-dash :trim: .. Local Variables: mode: indented-text indent-tabs-mode: nil sentence-end-double-space: t fill-column: 70 End: pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/dev/policies.txt000066400000000000000000000622641514162565100327620ustar00rootroot00000000000000=========================== Docutils Project Policies =========================== :Author: David Goodger; open to all Docutils developers :Contact: docutils-develop@lists.sourceforge.net :Date: $Date$ :Revision: $Revision$ :Copyright: This document has been placed in the public domain. .. contents:: The Docutils project group is a meritocracy based on code contribution and lots of discussion [#bcs]_. A few quotes sum up the policies of the Docutils project. The IETF's classic credo (by MIT professor Dave Clark) is an ideal we can aspire to: We reject: kings, presidents, and voting. We believe in: rough consensus and running code. As architect, chief cook and bottle-washer, David Goodger currently functions as BDFN (Benevolent Dictator For Now). (But he would happily abdicate the throne given a suitable candidate. Any takers?) Eric S. Raymond, anthropologist of the hacker subculture, writes in his essay `The Magic Cauldron`_: The number of contributors [to] projects is strongly and inversely correlated with the number of hoops each project makes a user go through to contribute. We will endeavour to keep the barrier to entry as low as possible. The policies below should not be thought of as barriers, but merely as a codification of experience to date. These are "best practices"; guidelines, not absolutes. Exceptions are expected, tolerated, and used as a source of improvement. Feedback and criticism is welcome. As for control issues, Emmett Plant (CEO of the Xiph.org Foundation, originators of Ogg Vorbis) put it well when he said: Open source dictates that you lose a certain amount of control over your codebase, and that's okay with us. .. [#bcs] Phrase borrowed from `Ben Collins-Sussman of the Subversion project `__. .. _The Magic Cauldron: http://www.catb.org/~esr/writings/magic-cauldron/ Python Coding Conventions ========================= Contributed code will not be refused merely because it does not strictly adhere to these conditions; as long as it's internally consistent, clean, and correct, it probably will be accepted. But don't be surprised if the "offending" code gets fiddled over time to conform to these conventions. The Docutils project shall follow the generic coding conventions as specified in the `Style Guide for Python Code`_ and `Docstring Conventions`_ PEPs, summarized, clarified, and extended as follows: * 4 spaces per indentation level. No hard tabs. * Use only 7-bit ASCII, no 8-bit strings. See `Docutils Internationalization`_. * No one-liner compound statements (i.e., no ``if x: return``: use two lines & indentation), except for degenerate class or method definitions (i.e., ``class X: pass`` is OK.). * Lines should be no more than 78 characters long. * Use "StudlyCaps" for class names (except for element classes in docutils.nodes). * Use "lowercase" or "lowercase_with_underscores" for function, method, and variable names. For short names, maximum two words, joined lowercase may be used (e.g. "tagname"). For long names with three or more words, or where it's hard to parse the split between two words, use lowercase_with_underscores (e.g., "note_explicit_target", "explicit_target"). If in doubt, use underscores. * Avoid lambda expressions, which are inherently difficult to understand. Named functions are preferable and superior: they're faster (no run-time compilation), and well-chosen names serve to document and aid understanding. * Avoid functional constructs (filter, map, etc.). Use list comprehensions instead. * Avoid ``from __future__ import`` constructs. They are inappropriate for production code. * Use 'single quotes' for string literals, and """triple double quotes""" for docstrings. .. _Style Guide for Python Code: https://peps.python.org/pep-0008 .. _Docstring Conventions: https://peps.python.org/pep-0257 .. _Docutils Internationalization: ../howto/i18n.html#python-code Documentation Conventions ========================= * Docutils documentation is written using reStructuredText, of course. * Use 7-bit ASCII if at all possible, and Unicode substitutions when necessary. * Use the following section title adornment styles:: ================ Document Title ================ -------------------------------------------- Document Subtitle, or Major Division Title -------------------------------------------- Section ======= Subsection ---------- Sub-Subsection `````````````` Sub-Sub-Subsection .................. * Use two blank lines before each section/subsection/etc. title. One blank line is sufficient between immediately adjacent titles. * Add a bibliographic field list immediately after the document title/subtitle. See the beginning of this document for an example. * Add an Emacs "local variables" block in a comment at the end of the document. See the end of this document for an example. Copyrights and Licensing ======================== The majority of the Docutils project code and documentation has been placed in the public domain (see `Copying Docutils`_). Unless clearly and explicitly indicated otherwise, any patches (modifications to existing files) submitted to the project for inclusion (via Subversion, SourceForge trackers, mailing lists, or private email) are assumed to be in the public domain as well. Any new files contributed to the project should clearly state their intentions regarding copyright, in one of the following ways: * Public domain (preferred): include the statement "This module/document has been placed in the public domain." * Copyright & open source license: include a copyright notice, along with either an embedded license statement, a reference to an accompanying license file, or a license URL. The license should be well known, simple and compatible with other open source software licenses. To keep the number of different licenses at a minimum, using the `2-Clause BSD license`_ (`local copy`__) is recommended. .. Rationale: + clear wording, structured text + license used by the closely related Sphinx project .. _Copying Docutils: ../../COPYING.html .. _2-Clause BSD license: http://opensource.org/licenses/BSD-2-Clause __ ../../licenses/BSD-2-Clause.txt .. _Subversion Repository: Repository ========== Please see the `repository documentation`_ for details on how to access Docutils' Subversion repository. Anyone can access the repository anonymously. Only project developers can make changes. (If you would like to become a project developer, just ask!) Also see `Setting Up For Docutils Development`_ below for some useful info. Unless you really *really* know what you're doing, please do *not* use ``svn import``. It's quite easy to mess up the repository with an import. .. _repository documentation: repository.html Branches -------- (These branch policies go into effect with Docutils 0.4.) The "docutils" directory of the **trunk** (a.k.a. the **Docutils core**) is used for active -- but stable, fully tested, and reviewed -- development. If we need to cut a bugfix release, we'll create a **maintenance branch** based on the latest feature release. For example, when Docutils 0.5 is released, this would be ``branches/docutils-0.5``, and any existing 0.4.x maintenance branches may be retired. Maintenance branches will receive bug fixes only; no new features will be allowed here. Obvious and uncontroversial bug fixes *with tests* can be checked in directly to the core and to the maintenance branches. Don't forget to add test cases! Many (but not all) bug fixes will be applicable both to the core and to the maintenance branches; these should be applied to both. No patches or dedicated branches are required for bug fixes, but they may be used. It is up to the discretion of project developers to decide which mechanism to use for each case. .. _feature branches: .. _feature branch: Feature additions and API changes will be done in **feature branches**. Feature branches will not be managed in any way. Frequent small check-ins are encouraged here. Feature branches must be discussed on the `docutils-develop mailing list`_ and reviewed before being merged into the core. .. _docutils-develop mailing list: https://lists.sourceforge.net/lists/listinfo/docutils-develop Review Criteria ``````````````` Before a new feature, an API change, or a complex, disruptive, or controversial bug fix can be checked in to the core or into a maintenance branch, it must undergo review. These are the criteria: * The branch must be complete, and include full documentation and tests. * There should ideally be one branch merge commit per feature or change. In other words, each branch merge should represent a coherent change set. * The code must be stable and uncontroversial. Moving targets and features under debate are not ready to be merged. * The code must work. The test suite must complete with no failures. See `Docutils Testing`_. The review process will ensure that at least one other set of eyeballs & brains sees the code before it enters the core. In addition to the above, the general `Check-ins`_ policy (below) also applies. .. _Docutils testing: testing.html Check-ins --------- Changes or additions to the Docutils core and maintenance branches carry a commitment to the Docutils user community. Developers must be prepared to fix and maintain any code they have committed. The Docutils core (``trunk/docutils`` directory) and maintenance branches should always be kept in a stable state (usable and as problem-free as possible). All changes to the Docutils core or maintenance branches must be in `good shape`_, usable_, documented_, tested_, and `reasonably complete`_. Starting with version 1.0, they must also comply with the `backwards compatibility policy`_. * _`Good shape` means that the code is clean, readable, and free of junk code (unused legacy code; by analogy to "junk DNA"). * _`Usable` means that the code does what it claims to do. An "XYZ Writer" should produce reasonable XYZ output. * _`Documented`: The more complete the documentation the better. Modules & files must be at least minimally documented internally. `Docutils Front-End Tools`_ should have a new section for any front-end tool that is added. `Docutils Configuration Files`_ should be modified with any settings/options defined. For any non-trivial change, the HISTORY.txt_ file should be updated. * _`Tested` means that unit and/or functional tests, that catch all bugs fixed and/or cover all new functionality, have been added to the test suite. These tests must be checked by running the test suite under all supported Python versions, and the entire test suite must pass. See `Docutils Testing`_. * _`Reasonably complete` means that the code must handle all input. Here "handle" means that no input can cause the code to fail (cause an exception, or silently and incorrectly produce nothing). "Reasonably complete" does not mean "finished" (no work left to be done). For example, a writer must handle every standard element from the Docutils document model; for unimplemented elements, it must *at the very least* warn that "Output for element X is not yet implemented in writer Y". If you really want to check code directly into the Docutils core, you can, but you must ensure that it fulfills the above criteria first. People will start to use it and they will expect it to work! If there are any issues with your code, or if you only have time for gradual development, you should put it on a branch or in the sandbox first. It's easy to move code over to the Docutils core once it's complete. It is the responsibility and obligation of all developers to keep the Docutils core and maintenance branches stable. If a commit is made to the core or maintenance branch which breaks any test, the solution is simply to revert the change. This is not vindictive; it's practical. We revert first, and discuss later. Docutils will pursue an open and trusting policy for as long as possible, and deal with any aberrations if (and hopefully not when) they happen. We'd rather see a torrent of loose contributions than just a trickle of perfect-as-they-stand changes. The occasional mistake is easy to fix. That's what version control is for! .. _Docutils Front-End Tools: ../user/tools.html .. _Docutils Configuration Files: ../user/config.html .. _HISTORY.txt: ../../HISTORY.txt .. _`Version Numbering`: Version Identification ====================== The state of development of the current Docutils codebase is stored in two forms: the sequence `docutils.__version_info__`_ and the `PEP 440`_ conformant text string `docutils.__version__`_. See also the `Docutils Release Procedure`_ .. _Docutils Release Procedure: release.html#version-numbers ``docutils.__version_info__`` ----------------------------- ``docutils.__version_info__`` is an instance of ``docutils.VersionInfo`` based on collections.namedtuple_. It is modelled on `sys.version_info`_ and has the following attributes: major : non-negative integer **Major releases** (x.0, e.g. 1.0) will be rare, and will represent major changes in API, functionality, or commitment. The major number will be bumped to 1 when the project is feature-complete, and may be incremented later if there is a major change in the design or API. When Docutils reaches version 1.0, the major APIs will be considered frozen. For details, see the `backwards compatibility policy`_. minor : non-negative integer Releases that change the minor number (x.y, e.g. 0.5) will be **feature releases**; new features from the `Docutils core`_ will be included. micro : non-negative integer Releases that change the micro number (x.y.z, e.g. 0.4.1) will be **bug-fix releases**. No new features will be introduced in these releases; only bug fixes will be included. The micro number is omitted from `docutils.__version__`_ when it equals zero. _`releaselevel` : text string The release level indicates the `development status`_ (or phase) of the project's codebase: ============= ========== =============================================== Release Level Label [#]_ Description ============= ========== =============================================== alpha ``a`` Reserved for use after major experimental changes, to indicate an unstable codebase. beta ``b`` Indicates active development, between releases. candidate ``rc`` Release candidate: indicates that the codebase is ready to release unless significant bugs emerge. final Indicates an official project release. ============= ========== =============================================== .. [#] The labels are used in the `docutils.__version__`_ pre-release segment. .. _development status: https://en.wikipedia.org/wiki/Software_release_life_cycle _`serial` : non-negative integer The serial number is zero for final releases and incremented whenever a new pre-release is begun. _`release` : boolean True for official releases and pre-releases, False during development. * One of *{major, minor, micro, serial}* is incremented after each release, and the lower-order numbers are reset to 0. * The default state of the repository during active development is release level = "beta", serial = 0, release = False. ``docutils.__version_info__`` can be used to test for a minimally required version, e.g. :: docutils.__version_info__ >= (0, 13) is True for all versions after ``"0.13"``. .. _collections.namedtuple: https://docs.python.org/3/library/collections.html#collections.namedtuple .. _sys.version_info: https://docs.python.org/3/library/sys.html#sys.version_info ``docutils.__version__`` ------------------------ The text string ``docutils.__version__`` is a human readable, `PEP 440`_-conforming version specifier. For version comparison operations, use `docutils.__version_info__`_. ``docutils.__version__`` takes the following form:: ".[.][[]][.dev]" <--- release segment ---><-- pre-release segment -><- development -> * The *pre-release segment* contains a label representing the releaselevel_ ("a", "b", or "rc") and eventually a serial_ number (omitted, if zero). * The *development segment* is ``".dev"`` during active development (release_ == False) and omitted for official releases and pre-releases. Examples of ``docutils.__version__`` identifiers, over the course of normal development (without branches), in ascending order: ============================== ============================= Release Level Version Identifier ============================== ============================= final (release) 0.14 beta (development) [#dev]_ 0.15b.dev beta (release) [#skip]_ 0.15b candidate 1 (dev.) 0.15rc1.dev candidate 1 (release) 0.15rc1 candidate 2 (dev.) [#skip]_ 0.15rc2.dev candidate 2 (release) [#skip]_ 0.15rc2 ... final (release) 0.15 beta (development) [#dev]_ 0.16b.dev ============================== ============================= .. [#dev] Default active development state between releases. .. [#skip] These steps may be skipped. .. _PEP 440: https://peps.python.org/pep-0440/ Policy History -------------- * Prior to version 0.4, Docutils didn't have an official version numbering policy, and micro releases contained both bug fixes and new features. * An earlier version of this policy was adopted in October 2005, and took effect with Docutils version 0.4. * This policy was updated in June 2017 for Docutils version 0.14. See `Feature Request #50`_ and the `discussion on docutils-devel`__ from May 28 to June 20 2017. .. _Feature Request #50: https://sourceforge.net/p/docutils/feature-requests/50/ __ https://sourceforge.net/p/docutils/mailman/message/35903816/ Backwards Compatibility Policy ============================== .. note:: The backwards compatibility policy outlined below is a stub. Docutils' backwards compatibility policy follows the rules for Python in :PEP:`387`. * The scope of the public API is laid out at the start of the `backwards compatibility rules`_. * The rules for `making incompatible changes`_ apply. A majority of projects depends on Docutils indirectly, via the Sphinx_ document processor. * Sphinx developers should be given the chance to fix or work around a DeprecationWarning_ in the Sphinx development version before a new Docutils version is released. Otherwise, use a PendingDeprecationWarning_. Changes that may affect end-users (e.g. by requiring changes to the configuration file or potentially breaking custom style sheets) should be announced with a FutureWarning_. .. _backwards compatibility rules: https://peps.python.org/pep-0387/#backwards-compatibility-rules .. _making incompatible changes: https://peps.python.org/pep-0387/#making-incompatible-changes .. _Sphinx: https://www.sphinx-doc.org/ .. _DeprecationWarning: https://docs.python.org/3/library/exceptions.html#DeprecationWarning .. _PendingDeprecationWarning: https://docs.python.org/3/library/exceptions.html#PendingDeprecationWarning .. _FutureWarning: https://docs.python.org/3/library/exceptions.html#FutureWarning Snapshots ========= Snapshot tarballs can be downloaded from the repository (see the "download snapshot" button in the head of the code listing table). * the `Docutils core`_, representing the current cutting-edge state of development; * the `sandbox directory`_ with contributed projects and extensions from `the Sandbox`_; .. * maintenance branches, for bug fixes; TODO: do we have active maintenance branches? (the only branch looking like a maintenance branch is https://sourceforge.net/p/docutils/code/HEAD/tree/branches/docutils-0.4) * `development branches`_, representing ongoing development efforts to bring new features into Docutils. .. _Docutils core: https://sourceforge.net/p/docutils/code/HEAD/tree/trunk/docutils .. _development branches: https://sourceforge.net/p/docutils/code/HEAD/tree/branches/ Setting Up For Docutils Development =================================== When making changes to the code, testing_ is a must. The code should be run to verify that it produces the expected results, and the entire test suite should be run too. The modified Docutils code has to be accessible to Python for the tests to have any meaning. See `editable installs`_ for ways to keep the Docutils code accessible during development. .. _testing: tested_ .. _editable installs: repository.html#editable-installs Mailing Lists ============= Developers are recommended to subscribe to all `Docutils mailing lists`_. .. _Docutils mailing lists: ../user/mailing-lists.html The Wiki ======== There is a development wiki at http://docutils.python-hosting.com/ as a scratchpad for transient notes. Please use the repository for permanent document storage. Extensions and Related Projects =============================== The Sandbox ----------- The `sandbox directory`_ is a place to play around, to try out and share ideas. It's a part of the Subversion repository but it isn't distributed as part of Docutils releases. Feel free to check in code to the sandbox; that way people can try it out but you won't have to worry about it working 100% error-free, as is the goal of the Docutils core. A project-specific subdirectory should be created for each new project. Any developer who wants to play in the sandbox may do so, but project directories are recommended over personal directories, which discourage collaboration. It's OK to make a mess in the sandbox! But please, play nice. Please update the `sandbox README`_ file with links and a brief description of your work. In order to minimize the work necessary for others to install and try out new, experimental components, the following sandbox directory structure is recommended:: sandbox/ project_name/ # For a collaborative project. README.txt # Describe the requirements, purpose/goals, usage, # and list the maintainers. docs/ ... component.py # The component is a single module. # *OR* (but *not* both) component/ # The component is a package. __init__.py # Contains the Reader/Writer class. other1.py # Other modules and data files used data.txt # by this component. ... test/ # Test suite. ... tools/ # For front ends etc. ... setup.py # Install the component code and tools/ files # into the right places. userid/ # For *temporary* personal space. Some sandbox projects are destined to move to the Docutils core once completed. Others, such as add-ons to Docutils or applications of Docutils, may graduate to become `parallel projects`_. .. _sandbox README: https://docutils.sourceforge.io/sandbox/README.html .. _sandbox directory: https://sourceforge.net/p/docutils/code/HEAD/tree/trunk/sandbox/ .. _parallel project: Parallel Projects ----------------- Parallel projects contain useful code that is not central to the functioning of Docutils. Examples are specialized add-ons or plug-ins, and applications of Docutils. They use Docutils, but Docutils does not require their presence to function. An official parallel project will have its own directory beside (or parallel to) the main ``docutils`` directory in the Subversion repository. It can have its own web page in the docutils.sourceforge.io domain, its own file releases and downloadable snapshots, and even a mailing list if that proves useful. However, an official parallel project has implications: it is expected to be maintained and continue to work with changes to the core Docutils. A parallel project requires a project leader, who must commit to coordinate and maintain the implementation: * Answer questions from users and developers. * Review suggestions, bug reports, and patches. * Monitor changes and ensure the quality of the code and documentation. * Coordinate with Docutils to ensure interoperability. * Put together official project releases. Of course, related projects may be created independently of Docutils. The advantage of a parallel project is that the SourceForge environment and the developer and user communities are already established. Core Docutils developers are available for consultation and may contribute to the parallel project. It's easier to keep the projects in sync when there are changes made to the core Docutils code. Other related projects ---------------------- Many related but independent projects are listed in the Docutils `link list`_. If you want your project to appear there, drop a note at the Docutils-develop_ mailing list. .. _link list: https://docutils.sourceforge.io/docs/user/links.html .. _docutils-develop: docs/user/mailing-lists.html#docutils-develop .. Local Variables: mode: indented-text indent-tabs-mode: nil sentence-end-double-space: t fill-column: 70 End: pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/dev/pysource.txt000066400000000000000000000104341514162565100330140ustar00rootroot00000000000000====================== Python Source Reader ====================== :Author: David Goodger :Contact: docutils-develop@lists.sourceforge.net :Revision: $Revision$ :Date: $Date$ :Copyright: This document has been placed in the public domain. This document explores issues around extracting and processing docstrings from Python modules. For definitive element hierarchy details, see the "Python Plaintext Document Interface DTD" XML document type definition, pysource.dtd_ (which modifies the generic docutils.dtd_). Descriptions below list 'DTD elements' (XML 'generic identifiers' or tag names) corresponding to syntax constructs. .. contents:: Model ===== The Python Source Reader ("PySource") model that's evolving in my mind goes something like this: 1. Extract the docstring/namespace [#]_ tree from the module(s) and/or package(s). .. [#] See `Docstring Extractor`_ below. 2. Run the parser on each docstring in turn, producing a forest of doctrees (per nodes.py). 3. Join the docstring trees together into a single tree, running transforms: - merge hyperlinks - merge namespaces - create various sections like "Module Attributes", "Functions", "Classes", "Class Attributes", etc.; see pysource.dtd_ - convert the above special sections to ordinary doctree nodes 4. Run transforms on the combined doctree. Examples: resolving cross-references/hyperlinks (including interpreted text on Python identifiers); footnote auto-numbering; first field list -> bibliographic elements. (Or should step 4's transforms come before step 3?) 5. Pass the resulting unified tree to the writer/builder. I've had trouble reconciling the roles of input parser and output writer with the idea of modes ("readers" or "directors"). Does the mode govern the transformation of the input, the output, or both? Perhaps the mode should be split into two. For example, say the source of our input is a Python module. Our "input mode" should be the "Python Source Reader". It discovers (from ``__docformat__``) that the input parser is "reStructuredText". If we want HTML, we'll specify the "HTML" output formatter. But there's a piece missing. What *kind* or *style* of HTML output do we want? PyDoc-style, LibRefMan style, etc. (many people will want to specify and control their own style). Is the output style specific to a particular output format (XML, HTML, etc.)? Is the style specific to the input mode? Or can/should they be independent? I envision interaction between the input parser, an "input mode" , and the output formatter. The same intermediate data format would be used between each of these, being transformed as it progresses. Docstring Extractor =================== We need code that scans a parsed Python module, and returns an ordered tree containing the names, docstrings (including attribute and additional docstrings), and additional info (in parentheses below) of all of the following objects: - packages - modules - module attributes (+ values) - classes (+ inheritance) - class attributes (+ values) - instance attributes (+ values) - methods (+ formal parameters & defaults) - functions (+ formal parameters & defaults) (Extract comments too? For example, comments at the start of a module would be a good place for bibliographic field lists.) In order to evaluate interpreted text cross-references, namespaces for each of the above will also be required. See python-dev/docstring-develop thread "AST mining", started on 2001-08-14. Interpreted Text ================ DTD elements: package, module, class, method, function, module_attribute, class_attribute, instance_attribute, variable, parameter, type, exception_class, warning_class. To classify identifiers explicitly, the role is given along with the identifier in either prefix or suffix form:: Use :method:`Keeper.storedata` to store the object's data in `Keeper.data`:instance_attribute:. The role may be one of 'package', 'module', 'class', 'method', 'function', 'module_attribute', 'class_attribute', 'instance_attribute', 'variable', 'parameter', 'type', 'exception_class', 'exception', 'warning_class', or 'warning'. Other roles may be defined. .. _pysource.dtd: pysource.dtd .. _docutils.dtd: ../ref/docutils.dtd .. Local Variables: mode: indented-text indent-tabs-mode: nil fill-column: 70 End: pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/dev/release.txt000066400000000000000000000066511514162565100325710ustar00rootroot00000000000000============================= Docutils_ Release Procedure ============================= :Authors: David Goodger; Lea Wiemann; open to all Docutils developers :Contact: docutils-develop@lists.sourceforge.net :Date: $Date$ :Revision: $Revision$ :Copyright: This document has been placed in the public domain. .. _Docutils: https://docutils.sourceforge.io/ Releasing (post 2020) --------------------- * Announce the upcoming release on docutils-develop list. Consider **feature freeze** or/and **check-in freeze** . * Update RELEASE-NOTES.txt add section ``Release ``. Consult HISTORY.txt for important changes. * Change HISTORY.txt title ``Changes Since `` to ``Release ``. * Set new version with ``sandbox/infrastructure/set_version.sh `` Check what was changed with version control system by ``set_version.sh`` Run tests :: export PYTHONWARNINGS=default python3 test/alltests.py or use tox. ``export PYTHONWARNINGS=default`` prints DeprecationWarnings in python3. * Generate universal wheel and source-distribution:: python3 setup.py sdist python3 setup.py bdist_wheel --universal * Upload universal wheel and source to test.pypi:: python3 -m twine upload --repository-url https://test.pypi.org/legacy/ dist/* Test in venv :: python3 -m venv du3 ; cd du3 export PYTHONPATH= ; . bin/activate python -m pip install --index-url https://test.pypi.org/simple/ --no-deps docutils cp -Lr ../docutils-code/docutils/test . python test/alltests.py python -m pip uninstall docutils deactivate ; cd .. ; rm -r du3 * Commit changes ... the changed version number. * tag 0.## (Note: only directory docutils is copied):: svn copy svn+ssh://grubert@svn.code.sf.net/p/docutils/code/trunk/docutils \ svn+ssh://grubert@svn.code.sf.net/p/docutils/code/tags/docutils-0.## \ -m "tagging release 0.##" * Update your source directory. * Rebuild universal wheel and source-distribution :: python3 setup.py sdist python3 setup.py bdist_wheel --universal * Now upload to pypi:: python3 -m twine upload dist/docutils-0.##* * Remove previous package from local cache:: find .cache/pip/wheels -name docutils\*whl -exec rm -v -i {} \; * and test:: python3 -m venv du3 ; cd du3 export PYTHONPATH= ; . bin/activate pip install --no-deps docutils cp -Lr ../docutils-code/docutils/test . python test/alltests.py deactivate ; cd .. ; rm -r du3 * Notify to docutils-developer and user. * upload source and generated html to sf-htdocs/0.## :: mkdir tmp1 cd tmp1 tar xzvf ../dist/docutils-0.##.tar.gz cd docutils-0.##/ tools/buildhtml.py . find . -name \*.pyc -exec rm -v {} \; find . -name __pycache__ -exec rmdir -v {} \; rm -r docutils.egg-info rsync -e ssh -r -t ./ web.sourceforge.net:/home/project-web/docutils/htdocs/0.## * Check web/index.txt for necessary corrections. * Run sandbox/infrastructure/docutils-update.local to update web-content. * Release to sourceforge. - Upload tar.gz and 0.16 release notes to sourceforge. - Select docutils-0.16.tar.gz as default for all OS. * set_version 0.#.#+1b.dev * test with py3 * docutils/HISTORY.txt: add title "Changes Since 0.##" * run sandbox/infrastructure/docutils-update.local .. Local Variables: mode: indented-text indent-tabs-mode: nil sentence-end-double-space: t fill-column: 70 End: pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/dev/repository.txt000066400000000000000000000223371514162565100333670ustar00rootroot00000000000000===================================== The Docutils_ Version Repository ===================================== :Author: Lea Wiemann, Docutils developers :Contact: docutils-develop@lists.sourceforge.net :Revision: $Revision$ :Date: $Date$ :Copyright: This document has been placed in the public domain. .. _Docutils: https://docutils.sourceforge.io/ .. admonition:: Quick Instructions To get a checkout of the Docutils source tree (with the sandboxes) with SVN_, type :: svn checkout https://svn.code.sf.net/p/docutils/code/trunk docutils-code Users of Git_ can clone a mirror of the docutils repository with :: git clone git://repo.or.cz/docutils.git If you are going to commit changes to the repository, please read the **whole document**, especially the section "`Information for Developers`_"! Docutils uses a Subversion_ (SVN) repository located at ``docutils.svn.sourceforge.net``. While Unix and Mac OS X users will probably prefer the standard Subversion command line interface, Windows user may want to try TortoiseSVN_, a convenient explorer extension. The instructions apply analogously. There is a Git_ mirror at http://repo.or.cz/docutils.git providing `web access`_ and the base for `creating a local Git clone`_. [#github-mirrors]_ For the project policy on repository use (check-in requirements, branching, etc.), please see the `Docutils Project Policies`__. __ policies.html#subversion-repository .. _SVN: .. _Subversion: https://subversion.apache.org/ .. _TortoiseSVN: https://tortoisesvn.net/ .. _SourceForge.net: https://sourceforge.net/ .. _Git: http://git-scm.com/ .. contents:: Accessing the Repository ======================== Web Access ---------- The repository can be browsed and examined via the web at https://sourceforge.net/p/docutils/code. Alternatively, use the web interface at http://repo.or.cz/docutils.git. [#github-mirrors]_ .. [#github-mirrors] There are also 3rd-party mirrors and forks at GitHub, some of them orphaned. At the time of this writing (2021-11-03), https://github.com/live-clones/docutils/tree/master/docutils provides an hourly updated clone. Repository Access Methods ------------------------- To get a checkout, first determine the root of the repository depending on your preferred protocol: anonymous access: (read only) Subversion_: ``https://svn.code.sf.net/p/docutils/code`` Git_: ``git://repo.or.cz/docutils.git`` `developer access`_: (read and write) ``svn+ssh://@svn.code.sf.net/p/docutils/code`` Checking Out the Repository --------------------------- .. _creating a local Git clone: Git_ users can clone a mirror of the docutils repository with :: git clone git://repo.or.cz/docutils.git and proceed according to the `Git documentation`_. Developer access (read and write) is possible with `git svn`_. .. _Git documentation: https://git.wiki.kernel.org/index.php/GitDocumentation .. _git svn: https://git.wiki.kernel.org/index.php/Git-svn Subversion_ users can use the following commands (substitute your preferred repository root for ROOT): * To check out only the current main source tree of Docutils, type :: svn checkout ROOT/trunk/docutils * To check out everything (main tree, sandboxes, web site, and parallel projects), type :: svn checkout ROOT/trunk docutils This will create a working copy of the whole trunk in a new directory called ``docutils``. Note that you probably do *not* want to check out the ROOT itself (without "/trunk"), because then you'd end up fetching the whole Docutils tree for every branch and tag over and over again. To update your working copy later on, ``cd`` into the working copy and type :: svn update Switching the Repository Root ----------------------------- If you changed your mind and want to use a different repository root, ``cd`` into your working copy and type:: svn switch --relocate OLDROOT NEWROOT Editable installs ================= There are several ways to ensure that edits to the Docutils code are picked up by Python. We'll assume that the Docutils "trunk" is checked out under the ``~/projects/`` directory. 1. Do an `editable install`__ with pip_:: python3 -m pip install -e ~/projects/docutils/docutils __ https://pip.pypa.io/en/stable/cli/pip_install/#editable-installs 2. Install in `development mode`__ with setuptools_. __ https://setuptools.pypa.io/en/latest/userguide/development_mode.html #development-mode .. _install manually: 3. Install "manually". Ensure that the "docutils" package is in ``sys.path`` by one of the following actions: * Set the ``PYTHONPATH`` environment variable so that Python picks up your local working copy of the code. For the bash shell, add this to your ``~/.profile``:: PYTHONPATH=$HOME/projects/docutils/docutils export PYTHONPATH The first line points to the directory containing the ``docutils`` package. The second line exports the environment variable. * Create a symlink to the docutils package directory somewhere in the module search path (``sys.path``), e.g., :: ln -s ~/projects/docutils/docutils \ /usr/local/lib/python3.9/dist-packages/ * Use a `path configuration file`__. __ https://docs.python.org/library/site.html Optionally, add some or all `front-end tools`_ to the binary search path, e.g., add the ``tools`` directory to the ``PATH`` variable:: PATH=$PATH:$HOME/projects/docutils/docutils/tools export PATH or link idividual front-end tools to a suitable place in the binary path:: ln -s ~/projects/docutils/docutils/tools/docutils-cli.py \ /usr/local/bin/docutils 5. Reinstall Docutils after any change:: python3 setup.py install .. CAUTION:: This method is **not** recommended for day-to-day development; it's too easy to forget. Confusion inevitably ensues. If you install Docutils this way, Python will always pick up the last-installed copy of the code. If you ever forget to reinstall the "docutils" package, Python won't see your latest changes. A useful addition to the ``docutils`` top-level directory in branches and alternate copies of the code is a ``set-PATHS`` file containing the following lines:: # source this file export PYTHONPATH=$PWD:$PWD export PATH=$PWD/tools:$PATH Open a shell for this branch, ``cd`` to the ``docutils`` top-level directory, and "source" this file. For example, using the bash shell:: $ cd some-branch/docutils $ . set-PATHS .. _pip: https://pypi.org/project/pip/ .. _setuptools: https://pypi.org/project/setuptools/ .. _front-end tools: ../user/tools.html .. _developer access: Information for Developers ========================== If you would like to have write access to the repository, register with SourceForge.net_ and send your SourceForge.net user names to docutils-develop@lists.sourceforge.net. (Note that there may be a delay of several hours until you can commit changes to the repository.) Sourceforge SVN access is documented `here`__ __ https://sourceforge.net/p/forge/documentation/svn/ Ensure any changes comply with the `Docutils Project Policies`_ before `checking in`_, .. _Docutils Project Policies: policies.html .. _checking in: policies.html#check-ins Setting Up Your Subversion Client For Development ------------------------------------------------- Before committing changes to the repository, please ensure that the following lines are contained (and uncommented) in your local ~/.subversion/config file, so that new files are added with the correct properties set:: [miscellany] # For your convenience: global-ignores = ... *.pyc ... # For correct properties: enable-auto-props = yes [auto-props] *.py = svn:eol-style=native;svn:keywords=Author Date Id Revision *.txt = svn:eol-style=native;svn:keywords=Author Date Id Revision *.html = svn:eol-style=native;svn:keywords=Author Date Id Revision *.xml = svn:eol-style=native;svn:keywords=Author Date Id Revision *.tex = svn:eol-style=native;svn:keywords=Author Date Id Revision *.css = svn:eol-style=native;svn:keywords=Author Date Id Revision *.patch = svn:eol-style=native *.sh = svn:eol-style=native;svn:executable;svn:keywords=Author Date Id Revision *.png = svn:mime-type=image/png *.jpg = svn:mime-type=image/jpeg *.gif = svn:mime-type=image/gif Repository Layout ================= The following tree shows the repository layout:: docutils/ |-- branches/ | |-- branch1/ | | |-- docutils/ | | |-- sandbox/ | | `-- web/ | `-- branch2/ | |-- docutils/ | |-- sandbox/ | `-- web/ |-- tags/ | |-- tag1/ | | |-- docutils/ | | |-- sandbox/ | | `-- web/ | `-- tag2/ | |-- docutils/ | |-- sandbox/ | `-- web/ `-- trunk/ |-- docutils/ |-- sandbox/ `-- web/ The main source tree lives at ``docutils/trunk/docutils/``, next to the sandboxes (``docutils/trunk/sandbox/``) and the web site files (``docutils/trunk/web/``). ``docutils/branches/`` and ``docutils/tags/`` contain (shallow) copies of either the whole trunk or only the main source tree (``docutils/trunk/docutils``). pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/dev/rst/000077500000000000000000000000001514162565100312105ustar00rootroot00000000000000alternatives.txt000066400000000000000000003351571514162565100344110ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/dev/rst================================================== A Record of reStructuredText Syntax Alternatives ================================================== :Author: David Goodger :Contact: docutils-develop@lists.sourceforge.net :Revision: $Revision$ :Date: $Date$ :Copyright: This document has been placed in the public domain. The following are ideas, alternatives, and justifications that were considered for reStructuredText syntax, which did not originate with Setext_ or StructuredText_. For an analysis of constructs which *did* originate with StructuredText or Setext, please see `Problems With StructuredText`_. See the `reStructuredText Markup Specification`_ for full details of the established syntax. The ideas are divided into sections: * Implemented_: already done. The issues and alternatives are recorded here for posterity. * `Not Implemented`_: these ideas won't be implemented. * Tabled_: these ideas should be revisited in the future. * `To Do`_: these ideas should be implemented. They're just waiting for a champion to resolve issues and get them done. * `... Or Not To Do?`_: possible but questionable. These probably won't be implemented, but you never know. .. _Setext: https://docutils.sourceforge.io/mirror/setext.html .. _StructuredText: https://zopestructuredtext.readthedocs.org/ .. _Problems with StructuredText: problems.html .. _reStructuredText Markup Specification: ../../ref/rst/restructuredtext.html .. contents:: ------------- Implemented ------------- Field Lists =========== Prior to the syntax for field lists being finalized, several alternatives were proposed. 1. Unadorned RFC822_ everywhere:: Author: Me Version: 1 Advantages: clean, precedent (RFC822-compliant). Disadvantage: ambiguous (these paragraphs are a prime example). Conclusion: rejected. 2. Special case: use unadorned RFC822_ for the very first or very last text block of a document:: """ Author: Me Version: 1 The rest of the document... """ Advantages: clean, precedent (RFC822-compliant). Disadvantages: special case, flat (unnested) field lists only, still ambiguous:: """ Usage: cmdname [options] arg1 arg2 ... We obviously *don't* want the like above to be interpreted as a field list item. Or do we? """ Conclusion: rejected for the general case, accepted for specific contexts (PEPs, email). 3. Use a directive:: .. fields:: Author: Me Version: 1 Advantages: explicit and unambiguous, RFC822-compliant. Disadvantage: cumbersome. Conclusion: rejected for the general case (but such a directive could certainly be written). 4. Use Javadoc-style:: @Author: Me @Version: 1 @param a: integer Advantages: unambiguous, precedent, flexible. Disadvantages: non-intuitive, ugly, not RFC822-compliant. Conclusion: rejected. 5. Use leading colons:: :Author: Me :Version: 1 Advantages: unambiguous, obvious (*almost* RFC822-compliant), flexible, perhaps even elegant. Disadvantages: no precedent, not quite RFC822-compliant. Conclusion: accepted! 6. Use double colons:: Author:: Me Version:: 1 Advantages: unambiguous, obvious? (*almost* RFC822-compliant), flexible, similar to syntax already used for literal blocks and directives. Disadvantages: no precedent, not quite RFC822-compliant, similar to syntax already used for literal blocks and directives. Conclusion: rejected because of the syntax similarity & conflicts. Why is RFC822 compliance important? It's a universal Internet standard, and super obvious. Also, I'd like to support the PEP format (ulterior motive: get PEPs to use reStructuredText as their standard). But it *would* be easy to get used to an alternative (easy even to convert PEPs; probably harder to convert python-deviants ;-). Unfortunately, without well-defined context (such as in email headers: RFC822 only applies before any blank lines), the RFC822 format is ambiguous. It is very common in ordinary text. To implement field lists unambiguously, we need explicit syntax. The following question was posed in a footnote: Should "bibliographic field lists" be defined at the parser level, or at the DPS transformation level? In other words, are they reStructuredText-specific, or would they also be applicable to another (many/every other?) syntax? The answer is that bibliographic fields are a reStructuredText-specific markup convention. Other syntaxes may implement the bibliographic elements explicitly. For example, there would be no need for such a transformation for an XML-based markup syntax. .. _RFC822: https://www.rfc-editor.org/rfc/rfc822.txt Interpreted Text "Roles" ======================== The original purpose of interpreted text was as a mechanism for descriptive markup, to describe the nature or role of a word or phrase. For example, in XML we could say "len" to mark up "len" as a function. It is envisaged that within Python docstrings (inline documentation in Python module source files, the primary market for reStructuredText) the role of a piece of interpreted text can be inferred implicitly from the context of the docstring within the program source. For other applications, however, the role may have to be indicated explicitly. Interpreted text is enclosed in single backquotes (`). 1. Initially, it was proposed that an explicit role could be indicated as a word or phrase within the enclosing backquotes: - As a prefix, separated by a colon and whitespace:: `role: interpreted text` - As a suffix, separated by whitespace and a colon:: `interpreted text :role` There are problems with the initial approach: - There could be ambiguity with interpreted text containing colons. For example, an index entry of "Mission: Impossible" would require a backslash-escaped colon. - The explicit role is descriptive markup, not content, and will not be visible in the processed output. Putting it inside the backquotes doesn't feel right; the *role* isn't being quoted. 2. Tony Ibbs suggested that the role be placed outside the backquotes:: role:`prefix` or `suffix`:role This removes the embedded-colons ambiguity, but limits the role identifier to be a single word (whitespace would be illegal). Since roles are not meant to be visible after processing, the lack of whitespace support is not important. The suggested syntax remains ambiguous with respect to ratios and some writing styles. For example, suppose there is a "signal" identifier, and we write:: ...calculate the `signal`:noise ratio. "noise" looks like a role. 3. As an improvement on #2, we can bracket the role with colons:: :role:`prefix` or `suffix`:role: This syntax is similar to that of field lists, which is fine since both are doing similar things: describing. This is the syntax chosen for reStructuredText. 4. Another alternative is two colons instead of one:: role::`prefix` or `suffix`::role But this is used for analogies ("A:B::C:D": "A is to B as C is to D"). Both alternative #2 and #4 lack delimiters on both sides of the role, making it difficult to parse (by the reader). 5. Some kind of bracketing could be used: - Parentheses:: (role)`prefix` or `suffix`(role) - Braces:: {role}`prefix` or `suffix`{role} - Square brackets:: [role]`prefix` or `suffix`[role] - Angle brackets:: `prefix` or `suffix` (The overlap of \*ML tags with angle brackets would be too confusing and precludes their use.) Syntax #3 was chosen for reStructuredText. Comments ======== A problem with comments (actually, with all indented constructs) is that they cannot be followed by an indented block -- a block quote -- without swallowing it up. I thought that perhaps comments should be one-liners only. But would this mean that footnotes, hyperlink targets, and directives must then also be one-liners? Not a good solution. Tony Ibbs suggested a "comment" directive. I added that we could limit a comment to a single text block, and that a "multi-block comment" could use "comment-start" and "comment-end" directives. This would remove the indentation incompatibility. A "comment" directive automatically suggests "footnote" and (hyperlink) "target" directives as well. This could go on forever! Bad choice. Garth Kidd suggested that an "empty comment", a ".." explicit markup start with nothing on the first line (except possibly whitespace) and a blank line immediately following, could serve as an "unindent". An empty comment does **not** swallow up indented blocks following it, so block quotes are safe. "A tiny but practical wart." Accepted. Anonymous Hyperlinks ==================== Alan Jaffray came up with this idea, along with the following syntax:: Search the `Python DOC-SIG mailing list archives`{}_. .. _: https://mail.python.org/pipermail/doc-sig/ The idea is sound and useful. I suggested a "double underscore" syntax:: Search the `Python DOC-SIG mailing list archives`__. .. __: https://mail.python.org/pipermail/doc-sig/ But perhaps single underscores are okay? The syntax looks better, but the hyperlink itself doesn't explicitly say "anonymous":: Search the `Python DOC-SIG mailing list archives`_. .. _: https://mail.python.org/pipermail/doc-sig/ Mixing anonymous and named hyperlinks becomes confusing. The order of targets is not significant for named hyperlinks, but it is for anonymous hyperlinks:: Hyperlinks: anonymous_, named_, and another anonymous_. .. _named: named .. _: anonymous1 .. _: anonymous2 Without the extra syntax of double underscores, determining which hyperlink references are anonymous may be difficult. We'd have to check which references don't have corresponding targets, and match those up with anonymous targets. Keeping to a simple consistent ordering (as with auto-numbered footnotes) seems simplest. reStructuredText will use the explicit double-underscore syntax for anonymous hyperlinks. An alternative (see `Reworking Explicit Markup (Round 1)`_ below) for the somewhat awkward ".. __:" syntax is "__":: An anonymous__ reference. __ http://anonymous Reworking Explicit Markup (Round 1) =================================== Alan Jaffray came up with the idea of `anonymous hyperlinks`_, added to reStructuredText. Subsequently it was asserted that hyperlinks (especially anonymous hyperlinks) would play an increasingly important role in reStructuredText documents, and therefore they require a simpler and more concise syntax. This prompted a review of the current and proposed explicit markup syntaxes with regards to improving usability. 1. Original syntax:: .. _blah: internal hyperlink target .. _blah: http://somewhere external hyperlink target .. _blah: blahblah_ indirect hyperlink target .. __: anonymous internal target .. __: http://somewhere anonymous external target .. __: blahblah_ anonymous indirect target .. [blah] http://somewhere footnote .. blah:: http://somewhere directive .. blah: http://somewhere comment .. Note:: The comment text was intentionally made to look like a hyperlink target. Origins: * Except for the colon (a delimiter necessary to allow for phrase-links), hyperlink target ``.. _blah:`` comes from Setext. * Comment syntax from Setext. * Footnote syntax from StructuredText ("named links"). * Directives and anonymous hyperlinks original to reStructuredText. Advantages: + Consistent explicit markup indicator: "..". + Consistent hyperlink syntax: ".. _" & ":". Disadvantages: - Anonymous target markup is awkward: ".. __:". - The explicit markup indicator ("..") is excessively overloaded? - Comment text is limited (can't look like a footnote, hyperlink, or directive). But this is probably not important. 2. Alan Jaffray's proposed syntax #1:: __ _blah internal hyperlink target __ blah: http://somewhere external hyperlink target __ blah: blahblah_ indirect hyperlink target __ anonymous internal target __ http://somewhere anonymous external target __ blahblah_ anonymous indirect target __ [blah] http://somewhere footnote .. blah:: http://somewhere directive .. blah: http://somewhere comment The hyperlink-connoted underscores have become first-level syntax. Advantages: + Anonymous targets are simpler. + All hyperlink targets are one character shorter. Disadvantages: - Inconsistent internal hyperlink targets. Unlike all other named hyperlink targets, there's no colon. There's an extra leading underscore, but we can't drop it because without it, "blah" looks like a relative URI. Unless we restore the colon:: __ blah: internal hyperlink target - Obtrusive markup? 3. Alan Jaffray's proposed syntax #2:: .. _blah internal hyperlink target .. blah: http://somewhere external hyperlink target .. blah: blahblah_ indirect hyperlink target .. anonymous internal target .. http://somewhere anonymous external target .. blahblah_ anonymous indirect target .. [blah] http://somewhere footnote !! blah: http://somewhere directive ## blah: http://somewhere comment Leading underscores have been (almost) replaced by "..", while comments and directives have gained their own syntax. Advantages: + Anonymous hyperlinks are simpler. + Unique syntax for comments. Connotation of "comment" from some programming languages (including our favorite). + Unique syntax for directives. Connotation of "action!". Disadvantages: - Inconsistent internal hyperlink targets. Again, unlike all other named hyperlink targets, there's no colon. There's a leading underscore, matching the trailing underscores of references, which no other hyperlink targets have. We can't drop that one leading underscore though: without it, "blah" looks like a relative URI. Again, unless we restore the colon:: .. blah: internal hyperlink target - All (except for internal) hyperlink targets lack their leading underscores, losing the "hyperlink" connotation. - Obtrusive syntax for comments. Alternatives:: ;; blah: http://somewhere (also comment syntax in Lisp & others) ,, blah: http://somewhere ("comma comma": sounds like "comment"!) - Iffy syntax for directives. Alternatives? 4. Tony Ibbs' proposed syntax:: .. _blah: internal hyperlink target .. _blah: http://somewhere external hyperlink target .. _blah: blahblah_ indirect hyperlink target .. anonymous internal target .. http://somewhere anonymous external target .. blahblah_ anonymous indirect target .. [blah] http://somewhere footnote .. blah:: http://somewhere directive .. blah: http://somewhere comment This is the same as the current syntax, except for anonymous targets which drop their "__: ". Advantage: + Anonymous targets are simpler. Disadvantages: - Anonymous targets lack their leading underscores, losing the "hyperlink" connotation. - Anonymous targets are almost indistinguishable from comments. (Better to know "up front".) 5. David Goodger's proposed syntax: Perhaps going back to one of Alan's earlier suggestions might be the best solution. How about simply adding "__ " as a synonym for ".. __: " in the original syntax? These would become equivalent:: .. __: anonymous internal target .. __: http://somewhere anonymous external target .. __: blahblah_ anonymous indirect target __ anonymous internal target __ http://somewhere anonymous external target __ blahblah_ anonymous indirect target Alternative 5 has been adopted. Backquotes in Phrase-Links ========================== [From a 2001-06-05 Doc-SIG post in reply to questions from Doug Hellmann.] The first draft of the spec, posted to the Doc-SIG in November 2000, used square brackets for phrase-links. I changed my mind because: 1. In the first draft, I had already decided on single-backquotes for inline literal text. 2. However, I wanted to minimize the necessity for backslash escapes, for example when quoting Python repr-equivalent syntax that uses backquotes. 3. The processing of identifiers (function/method/attribute/module etc. names) into hyperlinks is a useful feature. PyDoc recognizes identifiers heuristically, but it doesn't take much imagination to come up with counter-examples where PyDoc's heuristics would result in embarrassing failure. I wanted to do it deterministically, and that called for syntax. I called this construct "interpreted text". 4. Leveraging off the ``*emphasis*/**strong**`` syntax, lead to the idea of using double-backquotes as syntax. 5. I worked out some rules for inline markup recognition. 6. In combination with #5, double backquotes lent themselves to inline literals, neatly satisfying #2, minimizing backslash escapes. In fact, the spec says that no interpretation of any kind is done within double-backquote inline literal text; backslashes do *no* escaping within literal text. 7. Single backquotes are then freed up for interpreted text. 8. I already had square brackets required for footnote references. 9. Since interpreted text will typically turn into hyperlinks, it was a natural fit to use backquotes as the phrase-quoting syntax for trailing-underscore hyperlinks. The original inspiration for the trailing underscore hyperlink syntax was Setext. But for phrases Setext used a very cumbersome ``underscores_between_words_like_this_`` syntax. The underscores can be viewed as if they were right-pointing arrows: ``-->``. So ``hyperlink_`` points away from the reference, and ``.. _hyperlink:`` points toward the target. Substitution Mechanism ====================== Substitutions arose out of a Doc-SIG thread begun on 2001-10-28 by Alan Jaffray, "reStructuredText inline markup". It reminded me of a missing piece of the reStructuredText puzzle, first referred to in my contribution to "Documentation markup & processing / PEPs" (Doc-SIG 2001-06-21). Substitutions allow the power and flexibility of directives to be shared by inline text. They are a way to allow arbitrarily complex inline objects, while keeping the details out of the flow of text. They are the equivalent of SGML/XML's named entities. For example, an inline image (using reference syntax alternative 4d (vertical bars) and definition alternative 3, the alternatives chosen for inclusion in the spec):: The |biohazard| symbol must be used on containers used to dispose of medical waste. .. |biohazard| image:: biohazard.png [height=20 width=20] The ``|biohazard|`` substitution reference will be replaced in-line by whatever the ``.. |biohazard|`` substitution definition generates (in this case, an image). A substitution definition contains the substitution text bracketed with vertical bars, followed by a an embedded inline-compatible directive, such as "image". A transform is required to complete the substitution. Syntax alternatives for the reference: 1. Use the existing interpreted text syntax, with a predefined role such as "sub":: The `biohazard`:sub: symbol... Advantages: existing syntax, explicit. Disadvantages: verbose, obtrusive. 2. Use a variant of the interpreted text syntax, with a new suffix akin to the underscore in phrase-link references:: (a) `name`@ (b) `name`# (c) `name`& (d) `name`/ (e) `name`< (f) `name`:: (g) `name`: Due to incompatibility with other constructs and ordinary text usage, (f) and (g) are not possible. 3. Use interpreted text syntax with a fixed internal format:: (a) `:name:` (b) `name:` (c) `name::` (d) `::name::` (e) `%name%` (f) `#name#` (g) `/name/` (h) `&name&` (i) `|name|` (j) `[name]` (k) `` (l) `&name;` (m) `'name'` To avoid ML confusion (k) and (l) are definitely out. Square brackets (j) won't work in the target (the substitution definition would be indistinguishable from a footnote). The ```/name/``` syntax (g) is reminiscent of "s/find/sub" substitution syntax in ed-like languages. However, it may have a misleading association with regexps, and looks like an absolute POSIX path. (i) is visually equivalent and lacking the connotations. A disadvantage of all of these is that they limit interpreted text, albeit only slightly. 4. Use specialized syntax, something new:: (a) #name# (b) @name@ (c) /name/ (d) |name| (e) <> (f) //name// (g) ||name|| (h) ^name^ (i) [[name]] (j) ~name~ (k) !name! (l) =name= (m) ?name? (n) >name< "#" (a) and "@" (b) are obtrusive. "/" (c) without backquotes looks just like a POSIX path; it is likely for such usage to appear in text. "|" (d) and "^" (h) are feasible. 5. Redefine the trailing underscore syntax. See definition syntax alternative 4, below. Syntax alternatives for the definition: 1. Use the existing directive syntax, with a predefined directive such as "sub". It contains a further embedded directive resolving to an inline-compatible object:: .. sub:: biohazard .. image:: biohazard.png [height=20 width=20] .. sub:: parrot That bird wouldn't *voom* if you put 10,000,000 volts through it! The advantages and disadvantages are the same as in inline alternative 1. 2. Use syntax as in #1, but with an embedded directivecompressed:: .. sub:: biohazard image:: biohazard.png [height=20 width=20] This is a bit better than alternative 1, but still too much. 3. Use a variant of directive syntax, incorporating the substitution text, obviating the need for a special "sub" directive name. If we assume reference alternative 4d (vertical bars), the matching definition would look like this:: .. |biohazard| image:: biohazard.png [height=20 width=20] 4. (Suggested by Alan Jaffray on Doc-SIG from 2001-11-06.) Instead of adding new syntax, redefine the trailing underscore syntax to mean "substitution reference" instead of "hyperlink reference". Alan's example:: I had lunch with Jonathan_ today. We talked about Zope_. .. _Jonathan: lj [user=jhl] .. _Zope: https://www.zope.dev/ A problem with the proposed syntax is that URIs which look like simple reference names (alphanum plus ".", "-", "_") would be indistinguishable from substitution directive names. A more consistent syntax would be:: I had lunch with Jonathan_ today. We talked about Zope_. .. _Jonathan: lj:: user=jhl .. _Zope: https://www.zope.dev/ (``::`` after ``.. _Jonathan: lj``.) The "Zope" target is a simple external hyperlink, but the "Jonathan" target contains a directive. Alan proposed is that the reference text be replaced by whatever the referenced directive (the "directive target") produces. A directive reference becomes a hyperlink reference if the contents of the directive target resolve to a hyperlink. If the directive target resolves to an icon, the reference is replaced by an inline icon. If the directive target resolves to a hyperlink, the directive reference becomes a hyperlink reference. This seems too indirect and complicated for easy comprehension. The reference in the text will sometimes become a link, sometimes not. Sometimes the reference text will remain, sometimes not. We don't know *at the reference*:: This is a `hyperlink reference`_; its text will remain. This is an `inline icon`_; its text will disappear. That's a problem. The syntax that has been incorporated into the spec and parser is reference alternative 4d with definition alternative 3:: The |biohazard| symbol... .. |biohazard| image:: biohazard.png [height=20 width=20] We can also combine substitution references with hyperlink references, by appending a "_" (named hyperlink reference) or "__" (anonymous hyperlink reference) suffix to the substitution reference. This allows us to click on an image-link:: The |biohazard|_ symbol... .. |biohazard| image:: biohazard.png [height=20 width=20] .. _biohazard: https://www.cdc.gov/ There have been several suggestions for the naming of these constructs, originally called "substitution references" and "substitutions". 1. Candidate names for the reference construct: (a) substitution reference (b) tagging reference (c) inline directive reference (d) directive reference (e) indirect inline directive reference (f) inline directive placeholder (g) inline directive insertion reference (h) directive insertion reference (i) insertion reference (j) directive macro reference (k) macro reference (l) substitution directive reference 2. Candidate names for the definition construct: (a) substitution (b) substitution directive (c) tag (d) tagged directive (e) directive target (f) inline directive (g) inline directive definition (h) referenced directive (i) indirect directive (j) indirect directive definition (k) directive definition (l) indirect inline directive (m) named directive definition (n) inline directive insertion definition (o) directive insertion definition (p) insertion definition (q) insertion directive (r) substitution definition (s) directive macro definition (t) macro definition (u) substitution directive definition (v) substitution definition "Inline directive reference" (1c) seems to be an appropriate term at first, but the term "inline" is redundant in the case of the reference. Its counterpart "inline directive definition" (2g) is awkward, because the directive definition itself is not inline. "Directive reference" (1d) and "directive definition" (2k) are too vague. "Directive definition" could be used to refer to any directive, not just those used for inline substitutions. One meaning of the term "macro" (1k, 2s, 2t) is too programming-language-specific. Also, macros are typically simple text substitution mechanisms: the text is substituted first and evaluated later. reStructuredText substitution definitions are evaluated in place at parse time and substituted afterwards. "Insertion" (1h, 1i, 2n-2q) is almost right, but it implies that something new is getting added rather than one construct being replaced by another. Which brings us back to "substitution". The overall best names are "substitution reference" (1a) and "substitution definition" (2v). A long way to go to add one word! Inline External Targets ======================= Currently reStructuredText has two hyperlink syntax variations: * Named hyperlinks:: This is a named reference_ of one word ("reference"). Here is a `phrase reference`_. Phrase references may even cross `line boundaries`_. .. _reference: https://www.example.org/reference/ .. _phrase reference: https://www.example.org/phrase_reference/ .. _line boundaries: https://www.example.org/line_boundaries/ + Advantages: - The plaintext is readable. - Each target may be reused multiple times (e.g., just write ``"reference_"`` again). - No synchronized ordering of references and targets is necessary. + Disadvantages: - The reference text must be repeated as target names; could lead to mistakes. - The target URLs may be located far from the references, and hard to find in the plaintext. * Anonymous hyperlinks (in current reStructuredText):: This is an anonymous reference__. Here is an anonymous `phrase reference`__. Phrase references may even cross `line boundaries`__. __ https://www.example.org/reference/ __ https://www.example.org/phrase_reference/ __ https://www.example.org/line_boundaries/ + Advantages: - The plaintext is readable. - The reference text does not have to be repeated. + Disadvantages: - References and targets must be kept in sync. - Targets cannot be reused. - The target URLs may be located far from the references. For comparison and historical background, StructuredText also has two syntaxes for hyperlinks: * First, ``"reference text":URL``:: This is a "reference":https://www.example.org/reference/ of one word ("reference"). Here is a "phrase reference":https://www.example.org/phrase_reference/. * Second, ``"reference text", https://example.org/absolute_URL``:: This is a "reference", https://www.example.org/reference/ of one word ("reference"). Here is a "phrase reference", https://www.example.org/phrase_reference/. Both syntaxes share advantages and disadvantages: + Advantages: - The target is specified immediately adjacent to the reference. + Disadvantages: - Poor plaintext readability. - Targets cannot be reused. - Both syntaxes use double quotes, common in ordinary text. - In the first syntax, the URL and the last word are stuck together, exacerbating the line wrap problem. - The second syntax is too magical; text could easily be written that way by accident (although only absolute URLs are recognized here, perhaps because of the potential for ambiguity). A new type of "inline external hyperlink" has been proposed. 1. On 2002-06-28, Simon Budig proposed__ a new syntax for reStructuredText hyperlinks:: This is a reference_(https://www.example.org/reference/) of one word ("reference"). Here is a `phrase reference`_(https://www.example.org/phrase_reference/). Are these examples, (single-underscore), named? If so, `anonymous references`__(https://www.example.org/anonymous/) using two underscores would probably be preferable. __ https://mail.python.org/pipermail/doc-sig/2002-June/002648.html The syntax, advantages, and disadvantages are similar to those of StructuredText. + Advantages: - The target is specified immediately adjacent to the reference. + Disadvantages: - Poor plaintext readability. - Targets cannot be reused (unless named, but the semantics are unclear). + Problems: - The ``"`ref`_(URL)"`` syntax forces the last word of the reference text to be joined to the URL, making a potentially very long word that can't be wrapped (URLs can be very long). The reference and the URL should be separate. This is a symptom of the following point: - The syntax produces a single compound construct made up of two equally important parts, *with syntax in the middle*, *between* the reference and the target. This is unprecedented in reStructuredText. - The "inline hyperlink" text is *not* a named reference (there's no lookup by name), so it shouldn't look like one. - According to the IETF standards RFC 2396 and RFC 2732, parentheses are legal URI characters and curly braces are legal email characters, making their use prohibitively difficult. - The named/anonymous semantics are unclear. 2. After an analysis__ of the syntax of (1) above, we came up with the following compromise syntax:: This is an anonymous reference__ __ of one word ("reference"). Here is a `phrase reference`__ __. `Named references`_ _ use single underscores. __ https://mail.python.org/pipermail/doc-sig/2002-July/002670.html The syntax builds on that of the existing "inline internal targets": ``an _`inline internal target`.`` + Advantages: - The target is specified immediately adjacent to the reference, improving maintainability: - References and targets are easily kept in sync. - The reference text does not have to be repeated. - The construct is executed in two parts: references identical to existing references, and targets that are new but not too big a stretch from current syntax. - There's overwhelming precedent for quoting URLs with angle brackets [#]_. + Disadvantages: - Poor plaintext readability. - Lots of "line noise". - Targets cannot be reused (unless named; see below). To alleviate the readability issue slightly, we could allow the target to appear later, such as after the end of the sentence:: This is a named reference__ of one word ("reference"). __ Here is a `phrase reference`__. __ Problem: this could only work for one reference at a time (reference/target pairs must be proximate [refA trgA refB trgB], not interleaved [refA refB trgA trgB] or nested [refA refB trgB trgA]). This variation is too problematic; references and inline external targets will have to be kept immediately adjacent (see (3) below). The ``"reference__ __"`` syntax is actually for "anonymous inline external targets", emphasized by the double underscores. It follows that single trailing and leading underscores would lead to *implicitly named* inline external targets. This would allow the reuse of targets by name. So after ``"reference_ _"``, another ``"reference_"`` would point to the same target. .. [#] From RFC 2396 (URI syntax): The angle-bracket "<" and ">" and double-quote (") characters are excluded [from URIs] because they are often used as the delimiters around URI in text documents and protocol fields. Using <> angle brackets around each URI is especially recommended as a delimiting style for URI that contain whitespace. From RFC 822 (email headers): Angle brackets ("<" and ">") are generally used to indicate the presence of a one machine-usable reference (e.g., delimiting mailboxes), possibly including source-routing to the machine. 3. If it is best for references and inline external targets to be immediately adjacent, then they might as well be integrated. Here's an alternative syntax embedding the target URL in the reference:: This is an anonymous `reference `__ of one word ("reference"). Here is a `phrase reference `__. Advantages and disadvantages are similar to those in (2). Readability is still an issue, but the syntax is a bit less heavyweight (reduced line noise). Backquotes are required, even for one-word references; the target URL is included within the reference text, forcing a phrase context. We'll call this variant "embedded URIs". Problem: how to refer to a title like "HTML Anchors: " (which ends with an HTML/SGML/XML tag)? We could either require more syntax on the target (like ``"`reference text __`__"``), or require the odd conflicting title to be escaped (like ``"`HTML Anchors: \`__"``). The latter seems preferable, and not too onerous. Similarly to (2) above, a single trailing underscore would convert the reference & inline external target from anonymous to implicitly named, allowing reuse of targets by name. I think this is the least objectionable of the syntax alternatives. Other syntax variations have been proposed (by Brett Cannon and Benja Fallenstein):: `phrase reference`->https://www.example.org `phrase reference`@https://www.example.org `phrase reference`__ ->https://www.example.org `phrase reference` [-> https://www.example.org] `phrase reference`__ [-> https://www.example.org] `phrase reference` _ None of these variations are clearly superior to #3 above. Some have problems that exclude their use. With any kind of inline external target syntax it comes down to the conflict between maintainability and plaintext readability. I don't see a major problem with reStructuredText's maintainability, and I don't want to sacrifice plaintext readability to "improve" it. The proponents of inline external targets want them for easily maintainable web pages. The arguments go something like this: - Named hyperlinks are difficult to maintain because the reference text is duplicated as the target name. To which I said, "So use anonymous hyperlinks." - Anonymous hyperlinks are difficult to maintain because the references and targets have to be kept in sync. "So keep the targets close to the references, grouped after each paragraph. Maintenance is trivial." - But targets grouped after paragraphs break the flow of text. "Surely less than URLs embedded in the text! And if the intent is to produce web pages, not readable plaintext, then who cares about the flow of text?" Many participants have voiced their objections to the proposed syntax: Garth Kidd: "I strongly prefer the current way of doing it. Inline is spectactularly messy, IMHO." Tony Ibbs: "I vehemently agree... that the inline alternatives being suggested look messy - there are/were good reasons they've been taken out... I don't believe I would gain from the new syntaxes." Paul Moore: "I agree as well. The proposed syntax is far too punctuation-heavy, and any of the alternatives discussed are ambiguous or too subtle." Others have voiced their support: fantasai: "I agree with Simon. In many cases, though certainly not in all, I find parenthesizing the url in plain text flows better than relegating it to a footnote." Ken Manheimer: "I'd like to weigh in requesting some kind of easy, direct inline reference link." (Interesting that those *against* the proposal have been using reStructuredText for a while, and those *for* the proposal are either new to the list ["fantasai", background unknown] or longtime StructuredText users [Ken Manheimer].) I was initially ambivalent/against the proposed "inline external targets". I value reStructuredText's readability very highly, and although the proposed syntax offers convenience, I don't know if the convenience is worth the cost in ugliness. Does the proposed syntax compromise readability too much, or should the choice be left up to the author? Perhaps if the syntax is *allowed* but its use strongly *discouraged*, for aesthetic/readability reasons? After a great deal of thought and much input from users, I've decided that there are reasonable use cases for this construct. The documentation should strongly caution against its use in most situations, recommending independent block-level targets instead. Syntax #3 above ("embedded URIs") will be used. Doctree Representation of Transitions ===================================== (Although not reStructuredText-specific, this section fits best in this document.) Having added the "horizontal rule" construct to the `reStructuredText Markup Specification`_, a decision had to be made as to how to reflect the construct in the implementation of the document tree. Given this source:: Document ======== Paragraph 1 -------- Paragraph 2 The horizontal rule indicates a "transition" (in prose terms) or the start of a new "division". Before implementation, the parsed document tree would be::
Document <paragraph> Paragraph 1 -------- <--- error here <paragraph> Paragraph 2 There are several possibilities for the implementation: 1. Implement horizontal rules as "divisions" or segments. A "division" is a title-less, non-hierarchical section. The first try at an implementation looked like this:: <document> <section names="document"> <title> Document <paragraph> Paragraph 1 <division> <paragraph> Paragraph 2 But the two paragraphs are really at the same level; they shouldn't appear to be at different levels. There's really an invisible "first division". The horizontal rule splits the document body into two segments, which should be treated uniformly. 2. Treating "divisions" uniformly brings us to the second possibility:: <document> <section names="document"> <title> Document <division> <paragraph> Paragraph 1 <division> <paragraph> Paragraph 2 With this change, documents and sections will directly contain divisions and sections, but not body elements. Only divisions will directly contain body elements. Even without a horizontal rule anywhere, the body elements of a document or section would be contained within a division element. This makes the document tree deeper. This is similar to the way HTML_ treats document contents: grouped within a ``<body>`` element. 3. Implement them as "transitions", empty elements:: <document> <section names="document"> <title> Document <paragraph> Paragraph 1 <transition> <paragraph> Paragraph 2 A transition would be a "point element", not containing anything, only identifying a point within the document structure. This keeps the document tree flatter, but the idea of a "point element" like "transition" smells bad. A transition isn't a thing itself, it's the space between two divisions. However, transitions are a practical solution. Solution 3 was chosen for incorporation into the document tree model. .. _HTML: https://www.w3.org/MarkUp/ Syntax for Line Blocks ====================== * An early idea: How about a literal-block-like prefix, perhaps "``;;``"? (It is, after all, a *semi-literal* literal block, no?) Example:: Take it away, Eric the Orchestra Leader! ;; A one, two, a one two three four Half a bee, philosophically, must, *ipso facto*, half not be. But half the bee has got to be, *vis a vis* its entity. D'you see? But can a bee be said to be or not to be an entire bee, when half the bee is not a bee, due to some ancient injury? Singing... Kinda lame. * Another idea: in an ordinary paragraph, if the first line ends with a backslash (escaping the newline), interpret the entire paragraph as a verse block? For example:: Add just one backslash\ And this paragraph becomes An awful haiku (Awful, and arguably invalid, since in Japanese the word "haiku" contains three syllables not two.) This idea was superseded by the rules for escaped whitespace, useful for `character-level inline markup`_. * In a `2004-02-22 docutils-develop message`__, Jarno Elonen proposed a "plain list" syntax (and also provided a patch):: | John Doe | President, SuperDuper Corp. | jdoe@example.org __ https://thread.gmane.org/gmane.text.docutils.devel/1187 This syntax is very natural. However, these "plain lists" seem very similar to line blocks, and I see so little intrinsic "list-ness" that I'm loathe to add a new object. I used the term "blurbs" to remove the "list" connotation from the originally proposed name. Perhaps line blocks could be refined to add the two properties they currently lack: A) long lines wrap nicely B) HTML output doesn't look like program code in non-CSS web browsers (A) is an issue of all 3 aspects of Docutils: syntax (construct behaviour), internal representation, and output. (B) is partly an issue of internal representation but mostly of output. ReStructuredText will redefine line blocks with the "|"-quoting syntax. The following is my current thinking. Syntax ------ Perhaps line block syntax like this would do:: | M6: James Bond | MIB: Mr. J. | IMF: not decided yet, but probably one of the following: | Ethan Hunt | Jim Phelps | Claire Phelps | CIA: Lea Leiter Note that the "nested" list does not have nested syntax (the "|" are not further indented); the leading whitespace would still be significant somehow (more below). As for long lines in the input, this could suffice:: | John Doe | Founder, President, Chief Executive Officer, Cook, Bottle Washer, and All-Round Great Guy | SuperDuper Corp. | jdoe@example.org The lack of "|" on the third line indicates that it's a continuation of the second line, wrapped. I don't see much point in allowing arbitrary nested content. Multiple paragraphs or bullet lists inside a "blurb" doesn't make sense to me. Simple nested line blocks should suffice. Internal Representation ----------------------- Line blocks are currently represented as text blobs as follows:: <!ELEMENT line_block %text.model;> <!ATTLIST line_block %basic.atts; %fixedspace.att;> Instead, we could represent each line by a separate element:: <!ELEMENT line_block (line+)> <!ATTLIST line_block %basic.atts;> <!ELEMENT line %text.model;> <!ATTLIST line %basic.atts;> We'd keep the significance of the leading whitespace of each line either by converting it to non-breaking spaces at output, or with a per-line margin. Non-breaking spaces are simpler (for HTML, anyway) but kludgey, and wouldn't support indented long lines that wrap. But should inter-word whitespace (i.e., not leading whitespace) be preserved? Currently it is preserved in line blocks. Representing a more complex line block may be tricky:: | But can a bee be said to be | or not to be an entire bee, | when half the bee is not a bee, | due to some ancient injury? Perhaps the representation could allow for nested line blocks:: <!ELEMENT line_block (line | line_block)+> With this model, leading whitespace would no longer be significant. Instead, left margins are implied by the nesting. The example above could be represented as follows:: <line_block> <line> But can a bee be said to be <line_block> <line> or not to be an entire bee, <line_block> <line> when half the bee is not a bee, <line_block> <line> due to some ancient injury? I wasn't sure what to do about even more complex line blocks:: | Indented | Not indented | Indented a bit | A bit more | Only one space How should that be parsed and nested? Should the first line have the same nesting level (== indentation in the output) as the fourth line, or the same as the last line? Mark Nodine suggested that such line blocks be parsed similarly to complexly-nested block quotes, which seems reasonable. In the example above, this would result in the nesting of first line matching the last line's nesting. In other words, the nesting would be relative to neighboring lines only. Output ------ In HTML, line blocks are currently output as "<pre>" blocks, which gives us significant whitespace and line breaks, but doesn't allow long lines to wrap and causes monospaced output without stylesheets. Instead, we could output "<div>" elements parallelling the representation above, where each nested <div class="line_block"> would have an increased left margin (specified in the stylesheet). Jarno suggested the following HTML output:: <div class="line_block"> <span class="line">First, top level line</span><br class="hidden"/> <div class="line_block"><span class="hidden"> </span> <span class="line">Second, once nested</span><br class="hidden"/> <span class="line">Third, once nested</span><br class="hidden"/> ... </div> ... </div> The ``<br class="hidden" />`` and ``<span class="hidden"> </span>`` are meant to support non-CSS and non-graphical browsers. I understand the case for "br", but I'm not so sure about hidden " ". I question how much effort should be put toward supporting non-graphical and especially non-CSS browsers, at least for html4css1.py output. Should the lines themselves be ``<span>`` or ``<div>``? I don't like mixing inline and block-level elements. Implementation Plan ------------------- We'll leave the old implementation in place (via the "line-block" directive only) until all Writers have been updated to support the new syntax & implementation. The "line-block" directive can then be updated to use the new internal representation, and its documentation will be updated to recommend the new syntax. List-Driven Tables ================== The original idea came from Dylan Jay: ... to use a two level bulleted list with something to indicate it should be rendered as a table ... It's an interesting idea. It could be implemented in as a directive which transforms a uniform two-level list into a table. Using a directive would allow the author to explicitly set the table's orientation (by column or by row), the presence of row headers, etc. Alternatives: 1. (Implemented in Docutils 0.3.8). Bullet-list-tables might look like this:: .. list-table:: * - Treat - Quantity - Description * - Albatross! - 299 - On a stick! * - Crunchy Frog! - 1499 - If we took the bones out, it wouldn't be crunchy, now would it? * - Gannet Ripple! - 199 - On a stick! This list must be written in two levels. This wouldn't work:: .. list-table:: * Treat * Albatross! * Gannet! * Crunchy Frog! * Quantity * 299 * 199 * 1499 * Description * On a stick! * On a stick! * If we took the bones out... The above is a single list of 12 items. The blank lines are not significant to the markup. We'd have to explicitly specify how many columns or rows to use, which isn't a good idea. 2. Beni Cherniavsky suggested a field list alternative. It could look like this:: .. field-list-table:: :headrows: 1 - :treat: Treat :quantity: Quantity :descr: Description - :treat: Albatross! :quantity: 299 :descr: On a stick! - :treat: Crunchy Frog! :quantity: 1499 :descr: If we took the bones out, it wouldn't be crunchy, now would it? Column order is determined from the order of fields in the first row. Field order in all other rows is ignored. As a side-effect, this allows trivial re-arrangement of columns. By using named fields, it becomes possible to omit fields in some rows without losing track of things, which is important for spans. 3. An alternative to two-level bullet lists would be to use enumerated lists for the table cells:: .. list-table:: * 1. Treat 2. Quantity 3. Description * 1. Albatross! 2. 299 3. On a stick! * 1. Crunchy Frog! 2. 1499 3. If we took the bones out, it wouldn't be crunchy, now would it? That provides better correspondence between cells in the same column than does bullet-list syntax, but not as good as field list syntax. I think that were only field-list-tables available, a lot of users would use the equivalent degenerate case:: .. field-list-table:: - :1: Treat :2: Quantity :3: Description ... 4. Another natural variant is to allow a description list with field lists as descriptions:: .. list-table:: :headrows: 1 Treat :quantity: Quantity :descr: Description Albatross! :quantity: 299 :descr: On a stick! Crunchy Frog! :quantity: 1499 :descr: If we took the bones out, it wouldn't be crunchy, now would it? This would make the whole first column a header column ("stub"). It's limited to a single column and a single paragraph fitting on one source line. Also it wouldn't allow for empty cells or row spans in the first column. But these are limitations that we could live with, like those of simple tables. The List-driven table feature could be done in many ways. Each user will have their preferred usage. Perhaps a single "list-table" directive could handle them all, depending on which options and content are present. Issues: * How to indicate that there's 1 header row? Perhaps two lists? :: .. list-table:: + - Treat - Quantity - Description * - Albatross! - 299 - On a stick! This is probably too subtle though. Better would be a directive option, like ``:headrows: 1``. An early suggestion for the header row(s) was to use a directive option:: .. field-list-table:: :header: - :treat: Treat :quantity: Quantity :descr: Description - :treat: Albatross! :quantity: 299 :descr: On a stick! But the table data is at two levels and looks inconsistent. In general, we cannot extract the header row from field lists' field names because field names cannot contain everything one might put in a table cell. A separate header row also allows shorter field names and doesn't force one to rewrite the whole table when the header text changes. But for simpler cases, we can offer a ":header: fields" option, which does extract header cells from field names:: .. field-list-table:: :header: fields - :Treat: Albatross! :Quantity: 299 :Description: On a stick! * How to indicate the column widths? A directive option? :: .. list-table:: :widths: 15 10 35 Automatic defaults from the text used? * How to handle row and/or column spans? In a field list, column-spans can be indicated by specifying the first and last fields, separated by space-dash-space or ellipsis:: - :foo - baz: quuux - :foo ... baz: quuux Commas were proposed for column spans:: - :foo, bar: quux But non-adjacent columns become problematic. Should we report an error, or duplicate the value into each span of adjacent columns (as was suggested)? The latter suggestion is appealing but may be too clever. Best perhaps to simply specify the two ends. It was suggested that comma syntax should be allowed, too, in order to allow the user to avoid trouble when changing the column order. But changing the column order of a table with spans is not trivial; we shouldn't make it easier to mess up. One possible syntax for row-spans is to simply treat any row where a field is missing as a row-span from the last row where it appeared. Leaving a field empty would still be possible by writing a field with empty content. But this is too implicit. Another way would be to require an explicit continuation marker (``...``/``-"-``/``"``?) in all but the first row of a spanned field. Empty comments could work (".."). If implemented, the same marker could also be supported in simple tables, which lack row-spanning abilities. Explicit markup like ":rowspan:" and ":colspan:" was also suggested. Sometimes in a table, the first header row contains spans. It may be necessary to provide a way to specify the column field names independently of data rows. A directive option would do it. * We could specify "column-wise" or "row-wise" ordering, with the same markup structure. For example, with definition data:: .. list-table:: :column-wise: Treat - Albatross! - Crunchy Frog! Quantity - 299 - 1499 Description - On a stick! - If we took the bones out, it wouldn't be crunchy, now would it? * A syntax for _`stubs in grid tables` is easy to imagine:: +------------------------++------------+----------+ | Header row, column 1 || Header 2 | Header 3 | +========================++============+==========+ | body row 1, column 1 || column 2 | column 3 | +------------------------++------------+----------+ Or this idea from Nick Moffitt:: +-----+---+---+ | XOR # T | F | +=====+===+===+ | T # F | T | +-----+---+---+ | F # T | F | +-----+---+---+ Auto-Enumerated Lists ===================== Implemented 2005-03-24: combination of variation 1 & 2. The advantage of auto-numbered enumerated lists would be similar to that of auto-numbered footnotes: lists could be written and rearranged without having to manually renumber them. The disadvantages are also the same: input and output wouldn't match exactly; the markup may be ugly or confusing (depending on which alternative is chosen). 1. Use the "#" symbol. Example:: #. Item 1. #. Item 2. #. Item 3. Advantages: simple, explicit. Disadvantage: enumeration sequence cannot be specified (limited to arabic numerals); ugly. 2. As a variation on #1, first initialize the enumeration sequence? For example:: a) Item a. #) Item b. #) Item c. Advantages: simple, explicit, any enumeration sequence possible. Disadvantages: ugly; perhaps confusing with mixed concrete/abstract enumerators. 3. Alternative suggested by Fred Bremmer, from experience with MoinMoin:: 1. Item 1. 1. Item 2. 1. Item 3. Advantages: enumeration sequence is explicit (could be multiple "a." or "(I)" tokens). Disadvantages: perhaps confusing; otherwise erroneous input (e.g., a duplicate item "1.") would pass silently, either causing a problem later in the list (if no blank lines between items) or creating two lists (with blanks). Take this input for example:: 1. Item 1. 1. Unintentional duplicate of item 1. 2. Item 2. Currently the parser will produce two list, "1" and "1,2" (no warnings, because of the presence of blank lines). Using Fred's notation, the current behavior is "1,1,2 -> 1 1,2" (without blank lines between items, it would be "1,1,2 -> 1 [WARNING] 1,2"). What should the behavior be with auto-numbering? Fred has produced a patch__, whose initial behavior is as follows:: 1,1,1 -> 1,2,3 1,2,2 -> 1,2,3 3,3,3 -> 3,4,5 1,2,2,3 -> 1,2,3 [WARNING] 3 1,1,2 -> 1,2 [WARNING] 2 (After the "[WARNING]", the "3" would begin a new list.) I have mixed feelings about adding this functionality to the spec & parser. It would certainly be useful to some users (myself included; I often have to renumber lists). Perhaps it's too clever, asking the parser to guess too much. What if you *do* want three one-item lists in a row, each beginning with "1."? You'd have to use empty comments to force breaks. Also, I question whether "1,2,2 -> 1,2,3" is optimal behavior. In response, Fred came up with "a stricter and more explicit rule [which] would be to only auto-number silently if *all* the enumerators of a list were identical". In that case:: 1,1,1 -> 1,2,3 1,2,2 -> 1,2 [WARNING] 2 3,3,3 -> 3,4,5 1,2,2,3 -> 1,2 [WARNING] 2,3 1,1,2 -> 1,2 [WARNING] 2 Should any start-value be allowed ("3,3,3"), or should auto-numbered lists be limited to begin with ordinal-1 ("1", "A", "a", "I", or "i")? __ https://sourceforge.net/tracker/index.php?func=detail&aid=548802 &group_id=38414&atid=422032 4. Alternative proposed by Tony Ibbs:: #1. First item. #3. Aha - I edited this in later. #2. Second item. The initial proposal required unique enumerators within a list, but this limits the convenience of a feature of already limited applicability and convenience. Not a useful requirement; dropped. Instead, simply prepend a "#" to a standard list enumerator to indicate auto-enumeration. The numbers (or letters) of the enumerators themselves are not significant, except: - as a sequence indicator (arabic, roman, alphabetic; upper/lower), - and perhaps as a start value (first list item). Advantages: explicit, any enumeration sequence possible. Disadvantages: a bit ugly. Adjacent citation references ============================ A special case for inline markup was proposed and implemented: multiple citation references could be joined into one:: [cite1]_[cite2]_ instead of requiring [cite1]_ [cite2]_ However, this was rejected as an unwarranted exception to the rules for inline markup. (The main motivation for the proposal, grouping citations in the latex writer, was implemented by recognising the second group in the example above and transforming it into ``\cite{cite1,cite2}``.) Inline markup recognition ========================= Implemented 2011-12-05 (version 0.9): Extended `inline markup recognition rules`_. Non-ASCII whitespace, punctuation characters and "international" quotes are allowed around inline markup (based on `Unicode categories`_). The rules for ASCII characters were not changed. Rejected alternatives: a) Use `Unicode categories`_ for all chars (ASCII or not) +1 comprehensible, standards based, -1 many "false positives" need escaping, -1 not backwards compatible. b) full backwards compatibility :Pi: only before start-string :Pf: only behind end-string :Po: "conservative" sorting of other punctuation: :``.,;!?\\``: Close :``¡¿``: Open +1 backwards compatible, +1 logical extension of the existing rules, -1 exception list for "other" punctuation needed, -1 rules even more complicated, -1 not clear how to sort "other" punctuation that is currently not recognized, -2 international quoting convention like »German ›angular‹ quotes« not recognized. .. _Inline markup recognition rules: ../../ref/rst/restructuredtext.html#inline-markup-recognition-rules .. _Unicode categories: https://www.unicode.org/Public/5.1.0/ucd/UCD.html#General_Category_Values ----------------- Not Implemented ----------------- Reworking Footnotes =================== As a further wrinkle (see `Reworking Explicit Markup (Round 1)`_ above), in the wee hours of 2002-02-28 I posted several ideas for changes to footnote syntax: - Change footnote syntax from ``.. [1]`` to ``_[1]``? ... - Differentiate (with new DTD elements) author-date "citations" (``[GVR2002]``) from numbered footnotes? ... - Render footnote references as superscripts without "[]"? ... These ideas are all related, and suggest changes in the reStructuredText syntax as well as the docutils tree model. The footnote has been used for both true footnotes (asides expanding on points or defining terms) and for citations (references to external works). Rather than dealing with one amalgam construct, we could separate the current footnote concept into strict footnotes and citations. Citations could be interpreted and treated differently from footnotes. Footnotes would be limited to numerical labels: manual ("1") and auto-numbered (anonymous "#", named "#label"). The footnote is the only explicit markup construct (starts with ".. ") that directly translates to a visible body element. I've always been a little bit uncomfortable with the ".. " marker for footnotes because of this; ".. " has a connotation of "special", but footnotes aren't especially "special". Printed texts often put footnotes at the bottom of the page where the reference occurs (thus "foot note"). Some HTML designs would leave footnotes to be rendered the same positions where they're defined. Other online and printed designs will gather footnotes into a section near the end of the document, converting them to "endnotes" (perhaps using a directive in our case); but this "special processing" is not an intrinsic property of the footnote itself, but a decision made by the document author or processing system. Citations are almost invariably collected in a section at the end of a document or section. Citations "disappear" from where they are defined and are magically reinserted at some well-defined point. There's more of a connection to the "special" connotation of the ".. " syntax. The point at which the list of citations is inserted could be defined manually by a directive (e.g., ".. citations::"), and/or have default behavior (e.g., a section automatically inserted at the end of the document) that might be influenced by options to the Writer. Syntax proposals: + Footnotes: - Current syntax:: .. [1] Footnote 1 .. [#] Auto-numbered footnote. .. [#label] Auto-labeled footnote. - The syntax proposed in the original 2002-02-28 Doc-SIG post: remove the ".. ", prefix a "_":: _[1] Footnote 1 _[#] Auto-numbered footnote. _[#label] Auto-labeled footnote. The leading underscore syntax (earlier dropped because ``.. _[1]:`` was too verbose) is a useful reminder that footnotes are hyperlink targets. - Minimal syntax: remove the ".. [" and "]", prefix a "_", and suffix a ".":: _1. Footnote 1. _#. Auto-numbered footnote. _#label. Auto-labeled footnote. ``_1.``, ``_#.``, and ``_#label.`` are markers, like list markers. Footnotes could be rendered something like this in HTML | 1. This is a footnote. The brackets could be dropped | from the label, and a vertical bar could set them | off from the rest of the document in the HTML. Two-way hyperlinks on the footnote marker ("1." above) would also help to differentiate footnotes from enumerated lists. If converted to endnotes (by a directive/transform), a horizontal half-line might be used instead. Page-oriented output formats would typically use the horizontal line for true footnotes. + Footnote references: - Current syntax:: [1]_, [#]_, [#label]_ - Minimal syntax to match the minimal footnote syntax above:: 1_, #_, #label_ As a consequence, pure-numeric hyperlink references would not be possible; they'd be interpreted as footnote references. + Citation references: no change is proposed from the current footnote reference syntax:: [GVR2001]_ + Citations: - Current syntax (footnote syntax):: .. [GVR2001] Python Documentation; van Rossum, Drake, et al.; https://www.python.org/doc/ - Possible new syntax:: _[GVR2001] Python Documentation; van Rossum, Drake, et al.; https://www.python.org/doc/ _[DJG2002] Docutils: Python Documentation Utilities project; Goodger et al.; https://docutils.sourceforge.io/ Without the ".. " marker, subsequent lines would either have to align as in one of the above, or we'd have to allow loose alignment (I'd rather not):: _[GVR2001] Python Documentation; van Rossum, Drake, et al.; https://www.python.org/doc/ I proposed adopting the "minimal" syntax for footnotes and footnote references, and adding citations and citation references to reStructuredText's repertoire. The current footnote syntax for citations is better than the alternatives given. From a reply by Tony Ibbs on 2002-03-01: However, I think easier with examples, so let's create one:: Fans of Terry Pratchett are perhaps more likely to use footnotes [1]_ in their own writings than other people [2]_. Of course, in *general*, one only sees footnotes in academic or technical writing - it's use in fiction and letter writing is not normally considered good style [4]_, particularly in emails (not a medium that lends itself to footnotes). .. [1] That is, little bits of referenced text at the bottom of the page. .. [2] Because Terry himself does, of course [3]_. .. [3] Although he has the distinction of being *funny* when he does it, and his fans don't always achieve that aim. .. [4] Presumably because it detracts from linear reading of the text - this is, of course, the point. and look at it with the second syntax proposal:: Fans of Terry Pratchett are perhaps more likely to use footnotes [1]_ in their own writings than other people [2]_. Of course, in *general*, one only sees footnotes in academic or technical writing - it's use in fiction and letter writing is not normally considered good style [4]_, particularly in emails (not a medium that lends itself to footnotes). _[1] That is, little bits of referenced text at the bottom of the page. _[2] Because Terry himself does, of course [3]_. _[3] Although he has the distinction of being *funny* when he does it, and his fans don't always achieve that aim. _[4] Presumably because it detracts from linear reading of the text - this is, of course, the point. (I note here that if I have gotten the indentation of the footnotes themselves correct, this is clearly not as nice. And if the indentation should be to the left margin instead, I like that even less). and the third (new) proposal:: Fans of Terry Pratchett are perhaps more likely to use footnotes 1_ in their own writings than other people 2_. Of course, in *general*, one only sees footnotes in academic or technical writing - it's use in fiction and letter writing is not normally considered good style 4_, particularly in emails (not a medium that lends itself to footnotes). _1. That is, little bits of referenced text at the bottom of the page. _2. Because Terry himself does, of course 3_. _3. Although he has the distinction of being *funny* when he does it, and his fans don't always achieve that aim. _4. Presumably because it detracts from linear reading of the text - this is, of course, the point. I think I don't, in practice, mind the targets too much (the use of a dot after the number helps a lot here), but I do have a problem with the body text, in that I don't naturally separate out the footnotes as different than the rest of the text - instead I keep wondering why there are numbers interspered in the text. The use of brackets around the numbers ([ and ]) made me somehow parse the footnote references as "odd" - i.e., not part of the body text - and thus both easier to skip, and also (paradoxically) easier to pick out so that I could follow them. Thus, for the moment (and as always susceptable to argument), I'd say -1 on the new form of footnote reference (i.e., I much prefer the existing ``[1]_`` over the proposed ``1_``), and ambivalent over the proposed target change. That leaves David's problem of wanting to distinguish footnotes and citations - and the only thing I can propose there is that footnotes are numeric or # and citations are not (which, as a human being, I can probably cope with!). From a reply by Paul Moore on 2002-03-01: I think the current footnote syntax ``[1]_`` is *exactly* the right balance of distinctness vs unobtrusiveness. I very definitely don't think this should change. On the target change, it doesn't matter much to me. From a further reply by Tony Ibbs on 2002-03-01, referring to the "[1]" form and actual usage in email: Clearly this is a form people are used to, and thus we should consider it strongly (in the same way that the usage of ``*..*`` to mean emphasis was taken partly from email practise). Equally clearly, there is something "magical" for people in the use of a similar form (i.e., ``[1]``) for both footnote reference and footnote target - it seems natural to keep them similar. ... I think that this established plaintext usage leads me to strongly believe we should retain square brackets at both ends of a footnote. The markup of the reference end (a single trailing underscore) seems about as minimal as we can get away with. The markup of the target end depends on how one envisages the thing - if ".." means "I am a target" (as I tend to see it), then that's good, but one can also argue that the "_[1]" syntax has a neat symmetry with the footnote reference itself, if one wishes (in which case ".." presumably means "hidden/special" as David seems to think, which is why one needs a ".." *and* a leading underline for hyperlink targets. Given the persuading arguments voiced, we'll leave footnote & footnote reference syntax alone. Except that these discussions gave rise to the "auto-symbol footnote" concept, which has been added. Citations and citation references have also been added. Syntax for Questions & Answers ============================== Implement as a generic two-column marked list? As a standalone (non-directive) construct? (Is the markup ambiguous?) Add support to parts.contents? New elements would be required. Perhaps:: <!ELEMENT question_list (question_list_item+)> <!ATTLIST question_list numbering (none | local | global) #IMPLIED start NUMBER #IMPLIED> <!ELEMENT question_list_item (question, answer*)> <!ELEMENT question %text.model;> <!ELEMENT answer (%body.elements;)+> Originally I thought of implementing a Q&A list with special syntax:: Q: What am I? A: You are a question-and-answer list. Q: What are you? A: I am the omniscient "we". Where each "Q" and "A" could also be numbered (e.g., "Q1"). However, a simple enumerated or bulleted list will do just fine for syntax. A directive could treat the list specially; e.g. the first paragraph could be treated as a question, the remainder as the answer (multiple answers could be represented by nested lists). Without special syntax, this directive becomes low priority. As described in the FAQ__, no special syntax or directive is needed for this application. __ https://docutils.sourceforge.io/FAQ.html #how-can-i-mark-up-a-faq-or-other-list-of-questions-answers -------- Tabled -------- Reworking Explicit Markup (Round 2) =================================== See `Reworking Explicit Markup (Round 1)`_ for an earlier discussion. In April 2004, a new thread becan on docutils-develop: `Inconsistency in RST markup`__. Several arguments were made; the first argument begat later arguments. Below, the arguments are paraphrased "in quotes", with responses. __ https://thread.gmane.org/gmane.text.docutils.devel/1386 1. References and targets take this form:: targetname_ .. _targetname: stuff But footnotes, "which generate links just like targets do", are written as:: [1]_ .. [1] stuff "Footnotes should be written as":: [1]_ .. _[1]: stuff But they're not the same type of animal. That's not a "footnote target", it's a *footnote*. Being a target is not a footnote's primary purpose (an arguable point). It just happens to grow a target automatically, for convenience. Just as a section title:: Title ===== isn't a "title target", it's a *title*, which happens to grow a target automatically. The consistency is there, it's just deeper than at first glance. Also, ".. [1]" was chosen for footnote syntax because it closely resembles one form of actual footnote rendering. ".. _[1]:" is too verbose; excessive punctuation is required to get the job done. For more of the reasoning behind the syntax, see `Problems With StructuredText (Hyperlinks) <problems.html#hyperlinks>`__ and `Reworking Footnotes`_. 2. "I expect directives to also look like ``.. this:`` [one colon] because that also closely parallels the link and footnote target markup." There are good reasons for the two-colon syntax: Two colons are used after the directive type for these reasons: - Two colons are distinctive, and unlikely to be used in common text. - Two colons avoids clashes with common comment text like:: .. Danger: modify at your own risk! - If an implementation of reStructuredText does not recognize a directive (i.e., the directive-handler is not installed), a level-3 (error) system message is generated, and the entire directive block (including the directive itself) will be included as a literal block. Thus "::" is a natural choice. -- `restructuredtext.html#directives <../../ref/rst/restructuredtext.html#directives>`__ The last reason is not particularly compelling; it's more of a convenient coincidence or mnemonic. 3. "Comments always seemed too easy. I almost never write comments. I'd have no problem writing '.. comment:' in front of my comments. In fact, it would probably be more readable, as comments *should* be set off strongly, because they are very different from normal text." Many people do use comments though, and some applications of reStructuredText require it. For example, all reStructuredText PEPs (and this document!) have an Emacs stanza at the bottom, in a comment. Having to write ".. comment::" would be very obtrusive. Comments *should* be dirt-easy to do. It should be easy to "comment out" a block of text. Comments in programming languages and other markup languages are invariably easy. Any author is welcome to preface their comments with "Comment:" or "Do Not Print" or "Note to Editor" or anything they like. A "comment" directive could easily be implemented. It might be confused with admonition directives, like "note" and "caution" though. In unrelated (and unpublished and unfinished) work, adding a "comment" directive as a true document element was considered:: If structure is necessary, we could use a "comment" directive (to avoid nonsensical DTD changes, the "comment" directive could produce an untitled topic element). 4. "One of the goals of reStructuredText is to be *readable* by people who don't know it. This construction violates that: it is not at all obvious to the uninitiated that text marked by '..' is a comment. On the other hand, '.. comment:' would be totally transparent." Totally transparent, perhaps, but also very obtrusive. Another of `reStructuredText's goals`_ is to be unobtrusive, and ".. comment::" would violate that. The goals of reStructuredText are many, and they conflict. Determining the right set of goals and finding solutions that best fit is done on a case-by-case basis. Even readability is has two aspects. Being readable without any prior knowledge is one. Being as easily read in raw form as in processed form is the other. ".." may not contribute to the former aspect, but ".. comment::" would certainly detract from the latter. .. _author's note: .. _reStructuredText's goals: ../../ref/rst/introduction.html#goals 5. "Recently I sent someone an rst document, and they got confused; I had to explain to them that '..' marks comments, *unless* it's a directive, etc..." The explanation of directives *is* roundabout, defining comments in terms of not being other things. That's definitely a wart. 6. "Under the current system, a mistyped directive (with ':' instead of '::') will be silently ignored. This is an error that could easily go unnoticed." A parser option/setting like "--comments-on-stderr" would help. 7. "I'd prefer to see double-dot-space / command / double-colon as the standard Docutils markup-marker. It's unusual enough to avoid being accidentally used. Everything that starts with a double-dot should end with a double-colon." That would increase the punctuation verbosity of some constructs considerably. 8. Edward Loper proposed the following plan for backwards compatibility: 1. ".. foo" will generate a deprecation warning to stderr, and nothing in the output (no system messages). 2. ".. foo: bar" will be treated as a directive foo. If there is no foo directive, then do the normal error output. 3. ".. foo:: bar" will generate a deprecation warning to stderr, and be treated as a directive. Or leave it valid? So some existing documents might start printing deprecation warnings, but the only existing documents that would *break* would be ones that say something like:: .. warning: this should be a comment instead of:: .. warning:: this should be a comment Here, we're trading fairly common a silent error (directive falsely treated as a comment) for a fairly uncommon explicitly flagged error (comment falsely treated as directive). To make things even easier, we could add a sentence to the unknown-directive error. Something like "If you intended to create a comment, please use '.. comment:' instead". On one hand, I understand and sympathize with the points raised. On the other hand, I think the current syntax strikes the right balance (but I acknowledge a possible lack of objectivity). On the gripping hand, the comment and directive syntax has become well established, so even if it's a wart, it may be a wart we have to live with. Making any of these changes would cause a lot of breakage or at least deprecation warnings. I'm not sure the benefit is worth the cost. For now, we'll treat this as an unresolved legacy issue. ------- To Do ------- Nested Inline Markup ==================== These are collected notes on a long-discussed issue. The original mailing list messages should be referred to for details. * In a 2001-10-31 discussion I wrote: Try, for example, `Ed Loper's 2001-03-21 post`_, which details some rules for nested inline markup. I think the complexity is prohibitive for the marginal benefit. (And if you can understand that tree without going mad, you're a better man than I. ;-) Inline markup is already fragile. Allowing nested inline markup would only be asking for trouble IMHO. If it proves absolutely necessary, it can be added later. The rules for what can appear inside what must be well thought out first though. .. _Ed Loper's 2001-03-21 post: https://mail.python.org/pipermail/doc-sig/2001-March/001487.html -- https://mail.python.org/pipermail/doc-sig/2001-October/002354.html * In a 2001-11-09 Doc-SIG post, I wrote: The problem is that in the what-you-see-is-more-or-less-what-you-get markup language that is reStructuredText, the symbols used for inline markup ("*", "**", "`", "``", etc.) may preclude nesting. I've rethought this position. Nested markup is not precluded, just tricky. People and software parse "double and 'single' quotes" all the time. Continuing, I've thought over how we might implement nested inline markup. The first algorithm ("first identify the outer inline markup as we do now, then recursively scan for nested inline markup") won't work; counterexamples were given in my `last post <https://mail.python.org/pipermail/doc-sig/2001-November/002363.html>`__. The second algorithm makes my head hurt:: while 1: scan for start-string if found: push on stack scan for start or end string if new start string found: recurse elif matching end string found: pop stack elif non-matching end string found: if its a markup error: generate warning elif the initial start-string was misinterpreted: # e.g. in this case: ***strong** in emphasis* restart with the other interpretation # but it might be several layers back ... ... This is similar to how the parser does section title recognition, but sections are much more regular and deterministic. Bottom line is, I don't think the benefits are worth the effort, even if it is possible. I'm not going to try to write the code, at least not now. If somebody codes up a consistent, working, general solution, I'll be happy to consider it. -- https://mail.python.org/pipermail/doc-sig/2001-November/002388.html * In a `2003-05-06 Docutils-Users post`__ Paul Tremblay proposed a new syntax to allow for easier nesting. It eventually evolved into this:: :role:[inline text] The duplication with the existing interpreted text syntax is problematic though. __ https://article.gmane.org/gmane.text.docutils.user/317 * Could the parser be extended to parse nested interpreted text? :: :emphasis:`Some emphasized text with :strong:`some more emphasized text` in it and **perhaps** :reference:`a link`` * In a `2003-06-18 Docutils-Develop post`__, Mark Nodine reported on his implementation of a form of nested inline markup in his Perl-based parser (unpublished). He brought up some interesting ideas. The implementation was flawed, however, by the change in semantics required for backslash escapes. __ https://article.gmane.org/gmane.text.docutils.devel/795 * Docutils-develop threads between David Abrahams, David Goodger, and Mark Nodine (beginning 2004-01-16__ and 2004-01-19__) hashed out many of the details of a potentially successful implementation, as described below. David Abrahams checked in code to the "nesting" branch of CVS, awaiting thorough review. __ https://thread.gmane.org/gmane.text.docutils.devel/1102 __ https://thread.gmane.org/gmane.text.docutils.devel/1125 It may be possible to accomplish nested inline markup in general with a more powerful inline markup parser. There may be some issues, but I'm not averse to the idea of nested inline markup in general. I just don't have the time or inclination to write a new parser now. Of course, a good patch would be welcome! I envisage something like this. Explicit-role interpreted text must be nestable. Prefix-based is probably preferred, since suffix-based will look like inline literals:: ``text`:role1:`:role2: But it can be disambiguated, so it ought to be left up to the author:: `\ `text`:role1:`:role2: In addition, other forms of inline markup may be nested if unambiguous:: *emphasized ``literal`` and |substitution ref| and link_* IOW, the parser ought to be as permissive as possible. Index Entries & Indexes ======================= Were I writing a book with an index, I guess I'd need two different kinds of index targets: inline/implicit and out-of-line/explicit. For example:: In this `paragraph`:index:, several words are being `marked`:index: inline as implicit `index`:index: entries. .. index:: markup .. index:: syntax The explicit index directives above would refer to this paragraph. It might also make sense to allow multiple entries in an ``index`` directive: .. index:: markup syntax The words "paragraph", "marked", and "index" would become index entries pointing at the words in the first paragraph. The index entry words appear verbatim in the text. (Don't worry about the ugly ":index:" part; if indexing is the only/main application of interpreted text in your documents, it can be implicit and omitted.) The two directives provide manual indexing, where the index entry words ("markup" and "syntax") do not appear in the main text. We could combine the two directives into one:: .. index:: markup; syntax Semicolons instead of commas because commas could *be* part of the index target, like:: .. index:: van Rossum, Guido Another reason for index directives is because other inline markup wouldn't be possible within inline index targets. Sometimes index entries have multiple levels. Given:: .. index:: statement syntax: expression statements In a hypothetical index, combined with other entries, it might look like this:: statement syntax expression statements ..... 56 assignment ................ 57 simple statements ......... 58 compound statements ....... 60 Inline multi-level index targets could be done too. Perhaps something like:: When dealing with `expression statements <statement syntax:>`, we must remember ... The opposite sense could also be possible:: When dealing with `index entries <:multi-level>`, there are many permutations to consider. Also "see / see also" index entries. Given:: Here's a paragraph. .. index:: paragraph (The "index" directive above actually targets the *preceding* object.) The directive should produce something like this XML:: <paragraph> <index_entry text="paragraph"/> Here's a paragraph. </paragraph> This kind of content model would also allow true inline index-entries:: Here's a `paragraph`:index:. If the "index" role were the default for the application, it could be dropped:: Here's a `paragraph`. Both of these would result in this XML:: <paragraph> Here's a <index_entry>paragraph</index_entry>. </paragraph> from 2002-06-24 docutils-develop posts -------------------------------------- If all of your index entries will appear verbatim in the text, this should be sufficient. If not (e.g., if you want "Van Rossum, Guido" in the index but "Guido van Rossum" in the text), we'll have to figure out a supplemental mechanism, perhaps using substitutions. I've thought a bit more on this, and I came up with two possibilities: 1. Using interpreted text, embed the index entry text within the interpreted text:: ... by `Guido van Rossum [Van Rossum, Guido]` ... The problem with this is obvious: the text becomes cluttered and hard to read. The processed output would drop the text in brackets, which goes against the spirit of interpreted text. 2. Use substitutions:: ... by |Guido van Rossum| ... .. |Guido van Rossum| index:: Van Rossum, Guido A problem with this is that each substitution definition must have a unique name. A subsequent ``.. |Guido van Rossum| index:: BDFL`` would be illegal. Some kind of anonymous substitution definition mechanism would be required, but I think that's going too far. Both of these alternatives are flawed. Any other ideas? ------------------- ... Or Not To Do? ------------------- This is the realm of the possible but questionably probable. These ideas are kept here as a record of what has been proposed, for posterity and in case any of them prove to be useful. Compound Enumerated Lists ========================= Allow for compound enumerators, such as "1.1." or "1.a." or "1(a)", to allow for nested enumerated lists without indentation? Indented Lists ============== Allow for variant styles by interpreting indented lists as if they weren't indented? For example, currently the list below will be parsed as a list within a block quote:: paragraph * list item 1 * list item 2 But a lot of people seem to write that way, and HTML browsers make it look as if that's the way it should be. The parser could check the contents of block quotes, and if they contain only a single list, remove the block quote wrapper. There would be two problems: 1. What if we actually *do* want a list inside a block quote? 2. What if such a list comes immediately after an indented construct, such as a literal block? Both could be solved using empty comments (problem 2 already exists for a block quote after a literal block). But that's a hack. Perhaps a runtime setting, allowing or disabling this convenience, would be appropriate. But that raises issues too: User A, who writes lists indented (and their config file is set up to allow it), sends a file to user B, who doesn't (and their config file disables indented lists). The result of processing by the two users will be different. It may seem minor, but it adds ambiguity to the parser, which is bad. See the `Doc-SIG discussion starting 2001-04-18`__ with Ed Loper's "Structuring: a summary; and an attempt at EBNF", item 4 (and follow-ups, here__ and here__). Also `docutils-users, 2003-02-17`__ and `beginning 2003-08-04`__. __ https://mail.python.org/pipermail/doc-sig/2001-April/001776.html __ https://mail.python.org/pipermail/doc-sig/2001-April/001789.html __ https://mail.python.org/pipermail/doc-sig/2001-April/001793.html __ https://sourceforge.net/mailarchive/message.php?msg_id=3838913 __ https://sf.net/mailarchive/forum.php?thread_id=2957175&forum_id=11444 Sloppy Indentation of List Items ================================ Perhaps the indentation shouldn't be so strict. Currently, this is required:: 1. First line, second line. Anything wrong with this? :: 1. First line, second line. Problem? :: 1. First para. Block quote. (no good: requires some indent relative to first para) Second Para. 2. Have to carefully define where the literal block ends:: Literal block Literal block? Hmm... Non-strict indentation isn't such a good idea. Lazy Indentation of List Items ============================== Another approach: Going back to the first draft of reStructuredText (2000-11-27 post to Doc-SIG):: - This is the fourth item of the main list (no blank line above). The second line of this item is not indented relative to the bullet, which precludes it from having a second paragraph. Change that to *require* a blank line above and below, to reduce ambiguity. This "loosening" may be added later, once the parser's been nailed down. However, a serious drawback of this approach is to limit the content of each list item to a single paragraph. David's Idea for Lazy Indentation --------------------------------- Consider a paragraph in a word processor. It is a single logical line of text which ends with a newline, soft-wrapped arbitrarily at the right edge of the page or screen. We can think of a plaintext paragraph in the same way, as a single logical line of text, ending with two newlines (a blank line) instead of one, and which may contain arbitrary line breaks (newlines) where it was accidentally hard-wrapped by an application. We can compensate for the accidental hard-wrapping by "unwrapping" every unindented second and subsequent line. The indentation of the first line of a paragraph or list item would determine the indentation for the entire element. Blank lines would be required between list items when using lazy indentation. The following example shows the lazy indentation of multiple body elements:: - This is the first paragraph of the first list item. Here is the second paragraph of the first list item. - This is the first paragraph of the second list item. Here is the second paragraph of the second list item. A more complex example shows the limitations of lazy indentation:: - This is the first paragraph of the first list item. Next is a definition list item: Term Definition. The indentation of the term is required, as is the indentation of the definition's first line. When the definition extends to more than one line, lazy indentation may occur. (This is the second paragraph of the definition.) - This is the first paragraph of the second list item. - Here is the first paragraph of the first item of a nested list. So this paragraph would be outside of the nested list, but inside the second list item of the outer list. But this paragraph is not part of the list at all. And the ambiguity remains:: - Look at the hyphen at the beginning of the next line - is it a second list item marker, or a dash in the text? Similarly, we may want to refer to numbers inside enumerated lists: 1. How many socks in a pair? There are 2. How many pants in a pair? Exactly 1. Go figure. Literal blocks and block quotes would still require consistent indentation for all their lines. For block quotes, we might be able to get away with only requiring that the first line of each contained element be indented. For example:: Here's a paragraph. This is a paragraph inside a block quote. Second and subsequent lines need not be indented at all. - A bullet list inside the block quote. Second paragraph of the bullet list inside the block quote. Although feasible, this form of lazy indentation has problems. The document structure and hierarchy is not obvious from the indentation, making the source plaintext difficult to read. This will also make keeping track of the indentation while writing difficult and error-prone. However, these problems may be acceptable for Wikis and email mode, where we may be able to rely on less complex structure (few nested lists, for example). Multiple Roles in Interpreted Text ================================== In reStructuredText, inline markup cannot be nested (yet; `see above`__). This also applies to interpreted text. In order to simultaneously combine multiple roles for a single piece of text, a syntax extension would be necessary. Ideas: 1. Initial idea:: `interpreted text`:role1,role2: 2. Suggested by Jason Diamond:: `interpreted text`:role1:role2: If a document is so complex as to require nested inline markup, perhaps another markup system should be considered. By design, reStructuredText does not have the flexibility of XML. __ `Nested Inline Markup`_ Parameterized Interpreted Text ============================== In some cases it may be expedient to pass parameters to interpreted text, analogous to function calls. Ideas: 1. Parameterize the interpreted text role itself (suggested by Jason Diamond):: `interpreted text`:role1(foo=bar): Positional parameters could also be supported:: `CSS`:acronym(Cascading Style Sheets): is used for HTML, and `CSS`:acronym(Content Scrambling System): is used for DVDs. Technical problem: current interpreted text syntax does not recognize roles containing whitespace. Design problem: this smells like programming language syntax, but reStructuredText is not a programming language. 2. Put the parameters inside the interpreted text:: `CSS (Cascading Style Sheets)`:acronym: is used for HTML, and `CSS (Content Scrambling System)`:acronym: is used for DVDs. Although this could be defined on an individual basis (per role), we ought to have a standard. Hyperlinks with embedded URIs already use angle brackets; perhaps they could be used here too:: `CSS <Cascading Style Sheets>`:acronym: is used for HTML, and `CSS <Content Scrambling System>`:acronym: is used for DVDs. Do angle brackets connote URLs too much for this to be acceptable? How about the "tag" connotation -- does it save them or doom them? 3. `Nested inline markup`_ could prove useful here:: `CSS :def:`Cascading Style Sheets``:acronym: is used for HTML, and `CSS :def:`Content Scrambling System``:acronym: is used for DVDs. Inline markup roles could even define the default roles of nested inline markup, allowing this cleaner syntax:: `CSS `Cascading Style Sheets``:acronym: is used for HTML, and `CSS `Content Scrambling System``:acronym: is used for DVDs. Does this push inline markup too far? Readability becomes a serious issue. Substitutions may provide a better alternative (at the expense of verbosity and duplication) by pulling the details out of the text flow:: |CSS| is used for HTML, and |CSS-DVD| is used for DVDs. .. |CSS| acronym:: Cascading Style Sheets .. |CSS-DVD| acronym:: Content Scrambling System :text: CSS ---------------------------------------------------------------------- This whole idea may be going beyond the scope of reStructuredText. Documents requiring this functionality may be better off using XML or another markup system. This argument comes up regularly when pushing the envelope of reStructuredText syntax. I think it's a useful argument in that it provides a check on creeping featurism. In many cases, the resulting verbosity produces such unreadable plaintext that there's a natural desire *not* to use it unless absolutely necessary. It's a matter of finding the right balance. Syntax for Interpreted Text Role Bindings ========================================= The following syntax (idea from Jeffrey C. Jacobs) could be used to associate directives with roles:: .. :rewrite: class:: rewrite `She wore ribbons in her hair and it lay with streaks of grey`:rewrite: The syntax is similar to that of substitution declarations, and the directive/role association may resolve implementation issues. The semantics, ramifications, and implementation details would need to be worked out. The example above would implement the "rewrite" role as adding a ``class="rewrite"`` attribute to the interpreted text ("inline" element). The stylesheet would then pick up on the "class" attribute to do the actual formatting. The advantage of the new syntax would be flexibility. Uses other than "class" may present themselves. The disadvantage is complexity: having to implement new syntax for a relatively specialized operation, and having new semantics in existing directives ("class::" would do something different). The `"role" directive`__ has been implemented. __ ../../ref/rst/directives.html#role Character Processing ==================== Several people have suggested adding some form of character processing to reStructuredText: * Some sort of automated replacement of ASCII sequences: - ``--`` to em-dash (or ``--`` to en-dash, and ``---`` to em-dash). - Convert quotes to curly quote entities. (Essentially impossible for HTML? Unnecessary for TeX.) - Various forms of ``:-)`` to smiley icons. - ``"\ "`` to  . Problem with line-wrapping though: it could end up escaping the newline. - Escaped newlines to <BR>. - Escaped period or quote or dash as a disappearing catalyst to allow character-level inline markup? * XML-style character entities, such as "©" for the copyright symbol. Docutils has no need of a character entity subsystem. Supporting Unicode and text encodings, character entities should be directly represented in the text: a copyright symbol should be represented by the copyright symbol character. If this is not possible in an authoring environment, a pre-processing stage can be added, or a table of substitution definitions can be devised. A "unicode" directive has been implemented to allow direct specification of esoteric characters. In combination with the substitution construct, "include" files defining common sets of character entities can be defined and used. `A set of character entity set definition files have been defined`__ (`tarball`__). There's also `a description and instructions for use`__. __ https://docutils.sourceforge.io/tmp/charents/ __ https://docutils.sourceforge.io/tmp/charents.tgz __ https://docutils.sourceforge.io/tmp/charents/README.html To allow for `character-level inline markup`_, a limited form of character processing has been added to the spec and parser: escaped whitespace characters are removed from the processed document. Any further character processing will be of this functional type, rather than of the character-encoding type. .. _character-level inline markup: ../../ref/rst/restructuredtext.html#character-level-inline-markup * Directive idea:: .. text-replace:: "pattern" "replacement" - Support Unicode "U+XXXX" codes. - Support regexps, perhaps with alternative "regexp-replace" directive. - Flags for regexps; ":flags:" option, or individuals. - Specifically, should the default be case-sensistive or -insensitive? Page Or Line Breaks =================== * Should ^L (or something else in reST) be defined to mean force/suggest page breaks in whatever output we have? A "break" or "page-break" directive would be easy to add. A new doctree element would be required though (perhaps "break"). The final behavior would be up to the Writer. The directive argument could be one of page/column/recto/verso for added flexibility. Currently ^L (Python's ``\f``) characters are treated as whitespace. They're converted to single spaces, actually, as are vertical tabs (^K, Python's ``\v``). It would be possible to recognize form feeds as markup, but it requires some thought and discussion first. Are there any downsides? Many editing environments do not allow the insertion of control characters. Will it cause any harm? It would be useful as a shorthand for the directive. It's common practice to use ^L before Emacs "Local Variables" lists:: ^L .. Local Variables: mode: indented-text indent-tabs-mode: nil sentence-end-double-space: t fill-column: 70 End: These are already present in many PEPs and Docutils project documents. From the Emacs manual (info): A "local variables list" goes near the end of the file, in the last page. (It is often best to put it on a page by itself.) It would be unfortunate if this construct caused a final blank page to be generated (for those Writers that recognize the page breaks). We'll have to add a transform that looks for a "break" plus zero or more comments at the end of a document, and removes them. Probably a bad idea because there is no such thing as a page in a generic document format. * Could the "break" concept above be extended to inline forms? E.g. "^L" in the middle of a sentence could cause a line break. Only recognize it at the end of a line (i.e., ``\f\n``)? Or is formfeed inappropriate? Perhaps vertical tab (``\v``), but even that's a stretch. Can't use carriage returns, since they're commonly used for line endings. Probably a bad idea as well because we do not want to use control characters for well-readable and well-writable markup, and after all we have the line block syntax for line breaks. Superscript Markup ================== Add ``^superscript^`` inline markup? The only common non-markup uses of "^" I can think of are as short hand for "superscript" itself and for describing control characters ("^C to cancel"). The former supports the proposed syntax, and it could be argued that the latter ought to be literal text anyhow (e.g. "``^C`` to cancel"). However, superscripts are seldom needed, and new syntax would break existing documents. When it's needed, the ``:superscript:`` (``:sup:``) role can we used as well. Code Execution ============== Add the following directives? - "exec": Execute Python code & insert the results. Call it "python" to allow for other languages? - "system": Execute an ``os.system()`` call, and insert the results (possibly as a literal block). Definitely dangerous! How to make it safe? Perhaps such processing should be left outside of the document, in the user's production system (a makefile or a script or whatever). Or, the directive could be disabled by default and only enabled with an explicit command-line option or config file setting. Even then, an interactive prompt may be useful, such as: The file.txt document you are processing contains a "system" directive requesting that the ``sudo rm -rf /`` command be executed. Allow it to execute? (y/N) - "eval": Evaluate an expression & insert the text. At parse time or at substitution time? Dangerous? Perhaps limit to canned macros; see text.date_. .. _text.date: ../todo.html#text-date It's too dangerous (or too complicated in the case of "eval"). We do not want to have such things in the core. ``encoding`` Directive ====================== Add an "encoding" directive to specify the character encoding of the input data? Not a good idea for the following reasons: - When it sees the directive, the parser will already have read the input data, and encoding determination will already have been done. - If a file with an "encoding" directive is edited and saved with a different encoding, the directive may cause data corruption. Support for Annotations ======================= Add an "annotation" role, as the equivalent of the HTML "title" attribute? This is secondary information that may "pop up" when the pointer hovers over the main text. A corresponding directive would be required to associate annotations with the original text (by name, or positionally as in anonymous targets?). There have not been many requests for such feature, though. Also, cluttering WYSIWYG plaintext with annotations may not seem like a good idea, and there is no "tool tip" in formats other than HTML. ``term`` Role ============= Add a "term" role for unfamiliar or specialized terminology? Probably not; there is no real use case, and emphasis is enough for most cases. Object references ================= We need syntax for `object references`_. - Parameterized substitutions? For example:: See |figure (figure name)| on |page (figure name)|. .. |figure (name)| figure-ref:: (name) .. |page (name)| page-ref:: (name) The result would be:: See figure 3.11 on page 157. But this would require substitution directives to be processed at reference-time, not at definition-time as they are now. Or, perhaps the directives could just leave ``pending`` elements behind, and the transforms do the work? How to pass the data through? Too complicated. Use interpreted text roles. .. _object references: ../todo.html#object-numbering-and-object-references .. Local Variables: mode: indented-text indent-tabs-mode: nil sentence-end-double-space: t fill-column: 70 End: �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/dev/rst/problems.txt�0000664�0000000�0000000�00000105207�15141625651�0033601�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������============================== Problems With StructuredText ============================== :Author: David Goodger :Contact: docutils-develop@lists.sourceforge.net :Revision: $Revision$ :Date: $Date$ :Copyright: This document has been placed in the public domain. There are several problems, unresolved issues, and areas of controversy within StructuredText_ (Classic and Next Generation). In order to resolve all these issues, this analysis brings all of the issues out into the open, enumerates all the alternatives, and proposes solutions to be incorporated into the reStructuredText_ specification. .. contents:: Formal Specification ==================== The description in the original StructuredText.py has been criticized for being vague. For practical purposes, "the code *is* the spec." Tony Ibbs has been working on deducing a `detailed description`_ from the documentation and code of StructuredTextNG_. Edward Loper's STMinus_ is another attempt to formalize a spec. For this kind of a project, the specification should always precede the code. Otherwise, the markup is a moving target which can never be adopted as a standard. Of course, a specification may be revised during lifetime of the code, but without a spec there is no visible control and thus no confidence. Understanding and Extending the Code ==================================== The original StructuredText_ is a dense mass of sparsely commented code and inscrutable regular expressions. It was not designed to be extended and is very difficult to understand. StructuredTextNG_ has been designed to allow input (syntax) and output extensions, but its documentation (both internal [comments & docstrings], and external) is inadequate for the complexity of the code itself. For reStructuredText to become truly useful, perhaps even part of Python's standard library, it must have clear, understandable documentation and implementation code. For the implementation of reStructuredText to be taken seriously, it must be a sterling example of the potential of docstrings; the implementation must practice what the specification preaches. Section Structure via Indentation ================================= Setext_ required that body text be indented by 2 spaces. The original StructuredText_ and StructuredTextNG_ require that section structure be indicated through indentation, as "inspired by Python". For certain structures with a very limited, local extent (such as lists, block quotes, and literal blocks), indentation naturally indicates structure or hierarchy. For sections (which may have a very large extent), structure via indentation is unnecessary, unnatural and ambiguous. Rather, the syntax of the section title *itself* should indicate that it is a section title. The original StructuredText states that "A single-line paragraph whose immediately succeeding paragraphs are lower level is treated as a header." Requiring indentation in this way is: - Unnecessary. The vast majority of docstrings and standalone documents will have no more than one level of section structure. Requiring indentation for such docstrings is unnecessary and irritating. - Unnatural. Most published works use title style (type size, face, weight, and position) and/or section/subsection numbering rather than indentation to indicate hierarchy. This is a tradition with a very long history. - Ambiguous. A StructuredText header is indistinguishable from a one-line paragraph followed by a block quote (precluding the use of block quotes). Enumerated section titles are ambiguous (is it a header? is it a list item?). Some additional adornment must be required to confirm the line's role as a title, both to a parser and to the human reader of the source text. Python's use of significant whitespace is a wonderful (if not original) innovation, however requiring indentation in ordinary written text is hypergeneralization. reStructuredText_ indicates section structure through title adornment style (as exemplified by this document). This is far more natural. In fact, it is already in widespread use in plain text documents, including in Python's standard distribution (such as the toplevel README_ file). Character Escaping Mechanism ============================ No matter what characters are chosen for markup, some day someone will want to write documentation *about* that markup or using markup characters in a non-markup context. Therefore, any complete markup language must have an escaping or encoding mechanism. For a lightweight markup system, encoding mechanisms like SGML/XML's '*' are out. So an escaping mechanism is in. However, with carefully chosen markup, it should be necessary to use the escaping mechanism only infrequently. reStructuredText_ needs an escaping mechanism: a way to treat markup-significant characters as the characters themselves. Currently there is no such mechanism (although ZWiki uses '!'). What are the candidates? 1. ``!`` (http://www.zope.org/DevHome/Members/jim/StructuredTextWiki/NGEscaping) 2. ``\`` 3. ``~`` 4. doubling of characters The best choice for this is the backslash (``\``). It's "the single most popular escaping character in the world!", therefore familiar and unsurprising. Since characters only need to be escaped under special circumstances, which are typically those explaining technical programming issues, the use of the backslash is natural and understandable. Python docstrings can be raw (prefixed with an 'r', as in 'r""'), which would obviate the need for gratuitous doubling-up of backslashes. (On 2001-03-29 on the Doc-SIG mailing list, GvR endorsed backslash escapes, saying, "'nuff said. Backslash it is." Although neither legally binding nor irrevocable nor any kind of guarantee of anything, it is a good sign.) The rule would be: An unescaped backslash followed by any markup character escapes the character. The escaped character represents the character itself, and is prevented from playing a role in any markup interpretation. The backslash is removed from the output. A literal backslash is represented by an "escaped backslash," two backslashes in a row. A carefully constructed set of recognition rules for inline markup will obviate the need for backslash-escapes in almost all cases; see `Delimitation of Inline Markup`_ below. When an expression (requiring backslashes and other characters used for markup) becomes too complicated and therefore unreadable, a literal block may be used instead. Inside literal blocks, no markup is recognized, therefore backslashes (for the purpose of escaping markup) become unnecessary. We could allow backslashes preceding non-markup characters to remain in the output. This would make describing regular expressions and other uses of backslashes easier. However, this would complicate the markup rules and would be confusing. Blank Lines in Lists ==================== Oft-requested in Doc-SIG (the earliest reference is dated 1996-08-13) is the ability to write lists without requiring blank lines between items. In docstrings, space is at a premium. Authors want to convey their API or usage information in as compact a form as possible. StructuredText_ requires blank lines between all body elements, including list items, even when boundaries are obvious from the markup itself. In reStructuredText, blank lines are optional between list items. However, in order to eliminate ambiguity, a blank line is required before the first list item and after the last. Nested lists also require blank lines before the list start and after the list end. Bullet List Markup ================== StructuredText_ includes 'o' as a bullet character. This is dangerous and counter to the language-independent nature of the markup. There are many languages in which 'o' is a word. For example, in Spanish:: Llamame a la casa o al trabajo. (Call me at home or at work.) And in Japanese (when romanized):: Senshuu no doyoubi ni tegami o kakimashita. ([I] wrote a letter on Saturday last week.) If a paragraph containing an 'o' word wraps such that the 'o' is the first text on a line, or if a paragraph begins with such a word, it could be misinterpreted as a bullet list. In reStructuredText_, 'o' is not used as a bullet character. '-', '*', and '+' are the possible bullet characters. Enumerated List Markup ====================== StructuredText enumerated lists are allowed to begin with numbers and letters followed by a period or right-parenthesis, then whitespace. This has surprising consequences for writing styles. For example, this is recognized as an enumerated list item by StructuredText:: Mr. Creosote. People will write enumerated lists in all different ways. It is folly to try to come up with the "perfect" format for an enumerated list, and limit the docstring parser's recognition to that one format only. Rather, the parser should recognize a variety of enumerator styles. It is also recommended that the enumerator of the first list item be ordinal-1 ('1', 'A', 'a', 'I', or 'i'), as output formats may not be able to begin a list at an arbitrary enumeration. An initial idea was to require two or more consistent enumerated list items in a row. This idea proved impractical and was dropped. In practice, the presence of a proper enumerator is enough to reliably recognize an enumerated list item; any ambiguities are reported by the parser. Here's the original idea for posterity: The parser should recognize a variety of enumerator styles, mark each block as a potential enumerated list item (PELI), and interpret the enumerators of adjacent PELIs to decide whether they make up a consistent enumerated list. If a PELI is labeled with a "1.", and is immediately followed by a PELI labeled with a "2.", we've got an enumerated list. Or "(A)" followed by "(B)". Or "i)" followed by "ii)", etc. The chances of accidentally recognizing two adjacent and consistently labeled PELIs, are acceptably small. For an enumerated list to be recognized, the following must be true: - the list must consist of multiple adjacent list items (2 or more) - the enumerators must all have the same format - the enumerators must be sequential Definition List Markup ====================== StructuredText uses ' -- ' (whitespace, two hyphens, whitespace) on the first line of a paragraph to indicate a definition list item. The ' -- ' serves to separate the term (on the left) from the definition (on the right). Many people use ' -- ' as an em-dash in their text, conflicting with the StructuredText usage. Although the Chicago Manual of Style says that spaces should not be used around an em-dash, Peter Funk pointed out that this is standard usage in German (according to the Duden, the official German reference), and possibly in other languages as well. The widespread use of ' -- ' precludes its use for definition lists; it would violate the "unsurprising" criterion. A simpler, and at least equally visually distinctive construct (proposed by Guido van Rossum, who incidentally is a frequent user of ' -- ') would do just as well:: term 1 Definition. term 2 Definition 2, paragraph 1. Definition 2, paragraph 2. A reStructuredText definition list item consists of a term and a definition. A term is a simple one-line paragraph. A definition is a block indented relative to the term, and may contain multiple paragraphs and other body elements. No blank line precedes a definition (this distinguishes definition lists from block quotes). Literal Blocks ============== The StructuredText_ specification has literal blocks indicated by 'example', 'examples', or '::' ending the preceding paragraph. STNG only recognizes '::'; 'example'/'examples' are not implemented. This is good; it fixes an unnecessary language dependency. The problem is what to do with the sometimes- unwanted '::'. In reStructuredText_ '::' at the end of a paragraph indicates that subsequent *indented* blocks are treated as literal text. No further markup interpretation is done within literal blocks (not even backslash-escapes). If the '::' is preceded by whitespace, '::' is omitted from the output; if '::' was the sole content of a paragraph, the entire paragraph is removed (no 'empty' paragraph remains). If '::' is preceded by a non-whitespace character, '::' is replaced by ':' (i.e., the extra colon is removed). Thus, a section could begin with a literal block as follows:: Section Title ------------- :: print "this is example literal" Tables ====== The table markup scheme in classic StructuredText was horrible. Its omission from StructuredTextNG is welcome, and its markup will not be repeated here. However, tables themselves are useful in documentation. Alternatives: 1. This format is the most natural and obvious. It was independently invented (no great feat of creation!), and later found to be the format supported by the `Emacs table mode`_:: +------------+------------+------------+--------------+ | Header 1 | Header 2 | Header 3 | Header 4 | +============+============+============+==============+ | Column 1 | Column 2 | Column 3 & 4 span (Row 1) | +------------+------------+------------+--------------+ | Column 1 & 2 span | Column 3 | - Column 4 | +------------+------------+------------+ - Row 2 & 3 | | 1 | 2 | 3 | - span | +------------+------------+------------+--------------+ Tables are described with a visual outline made up of the characters '-', '=', '|', and '+': - The hyphen ('-') is used for horizontal lines (row separators). - The equals sign ('=') is optionally used as a header separator (as of version 1.5.24, this is not supported by the Emacs table mode). - The vertical bar ('|') is used for for vertical lines (column separators). - The plus sign ('+') is used for intersections of horizontal and vertical lines. Row and column spans are possible simply by omitting the column or row separators, respectively. The header row separator must be complete; in other words, a header cell may not span into the table body. Each cell contains body elements, and may have multiple paragraphs, lists, etc. Initial spaces for a left margin are allowed; the first line of text in a cell determines its left margin. 2. Below is a simpler table structure. It may be better suited to manual input than alternative #1, but there is no Emacs editing mode available. One disadvantage is that it resembles section titles; a one-column table would look exactly like section & subsection titles. :: ============ ============ ============ ============== Header 1 Header 2 Header 3 Header 4 ============ ============ ============ ============== Column 1 Column 2 Column 3 & 4 span (Row 1) ------------ ------------ --------------------------- Column 1 & 2 span Column 3 - Column 4 ------------------------- ------------ - Row 2 & 3 1 2 3 - span ============ ============ ============ ============== The table begins with a top border of equals signs with a space at each column boundary (regardless of spans). Each row is underlined. Internal row separators are underlines of '-', with spaces at column boundaries. The last of the optional head rows is underlined with '=', again with spaces at column boundaries. Column spans have no spaces in their underline. Row spans simply lack an underline at the row boundary. The bottom boundary of the table consists of '=' underlines. A blank line is required following a table. 3. A minimalist alternative is as follows:: ==== ===== ======== ======== ======= ==== ===== ===== Old State Input Action New State Notes ----------- -------- ----------------- ----------- ids types new type sys.msg. dupname ids types ==== ===== ======== ======== ======= ==== ===== ===== -- -- explicit -- -- new True -- -- implicit -- -- new False None False explicit -- -- new True old False explicit implicit old new True None True explicit explicit new None True old True explicit explicit new,old None True [1] None False implicit implicit new None False old False implicit implicit new,old None False None True implicit implicit new None True old True implicit implicit new old True ==== ===== ======== ======== ======= ==== ===== ===== The table begins with a top border of equals signs with one or more spaces at each column boundary (regardless of spans). There must be at least two columns in the table (to differentiate it from section headers). Each line starts a new row. The rightmost column is unbounded; text may continue past the edge of the table. Each row/line must contain spaces at column boundaries, except for explicit column spans. Underlines of '-' can be used to indicate column spans, but should be used sparingly if at all. Lines containing column span underlines may not contain any other text. The last of the optional head rows is underlined with '=', again with spaces at column boundaries. The bottom boundary of the table consists of '=' underlines. A blank line is required following a table. This table sums up the features. Using all the features in such a small space is not pretty though:: ======== ======== ======== Header 2 & 3 Span ------------------ Header 1 Header 2 Header 3 ======== ======== ======== Each line is a new row. Each row consists of one line only. Row spans are not possible. The last column may spill over to the right. Column spans are possible with an underline joining columns. ---------------------------- The span is limited to the row above the underline. ======== ======== ======== 4. As a variation of alternative 3, bullet list syntax in the first column could be used to indicate row starts. Multi-line rows are possible, but row spans are not. For example:: ===== ===== col 1 col 2 ===== ===== - 1 Second column of row 1. - 2 Second column of row 2. Second line of paragraph. - 3 Second column of row 3. Second paragraph of row 3, column 2 ===== ===== Column spans would be indicated on the line after the last line of the row. To indicate a real bullet list within a first-column cell, simply nest the bullets. 5. In a further variation, we could simply assume that whitespace in the first column implies a multi-line row; the text in other columns is continuation text. For example:: ===== ===== col 1 col 2 ===== ===== 1 Second column of row 1. 2 Second column of row 2. Second line of paragraph. 3 Second column of row 3. Second paragraph of row 3, column 2 ===== ===== Limitations of this approach: - Cells in the first column are limited to one line of text. - Cells in the first column *must* contain some text; blank cells would lead to a misinterpretation. An empty comment ("..") is sufficient. 6. Combining alternative 3 and 4, a bullet list in the first column could mean multi-line rows, and no bullet list means single-line rows only. Alternatives 1 and 5 has been adopted by reStructuredText. Delimitation of Inline Markup ============================= StructuredText specifies that inline markup must begin with whitespace, precluding such constructs as parenthesized or quoted emphatic text:: "**What?**" she cried. (*exit stage left*) The `reStructuredText markup specification`_ allows for such constructs and disambiguates inline markup through a set of recognition rules. These recognition rules define the context of markup start-strings and end-strings, allowing markup characters to be used in most non-markup contexts without a problem (or a backslash). So we can say, "Use asterisks (*) around words or phrases to *emphasisze* them." The '(*)' will not be recognized as markup. This reduces the need for markup escaping to the point where an escape character is *almost* (but not quite!) unnecessary. Underlining =========== StructuredText uses '_text_' to indicate underlining. To quote David Ascher in his 2000-01-21 Doc-SIG mailing list post, "Docstring grammar: a very revised proposal": The tagging of underlined text with _'s is suboptimal. Underlines shouldn't be used from a typographic perspective (underlines were designed to be used in manuscripts to communicate to the typesetter that the text should be italicized -- no well-typeset book ever uses underlines), and conflict with double-underscored Python variable names (__init__ and the like), which would get truncated and underlined when that effect is not desired. Note that while *complete* markup would prevent that truncation ('__init__'), I think of docstring markups much like I think of type annotations -- they should be optional and above all do no harm. In this case the underline markup does harm. Underlining is not part of the reStructuredText specification. Inline Literals =============== StructuredText's markup for inline literals (text left as-is, verbatim, usually in a monospaced font; as in HTML <TT>) is single quotes ('literals'). The problem with single quotes is that they are too often used for other purposes: - Apostrophes: "Don't blame me, 'cause it ain't mine, it's Chris'."; - Quoting text: First Bruce: "Well Bruce, I heard the prime minister use it. 'S'hot enough to boil a monkey's bum in 'ere your Majesty,' he said, and she smiled quietly to herself." In the UK, single quotes are used for dialogue in published works. - String literals: s = '' Alternatives:: 'text' \'text\' ''text'' "text" \"text\" ""text"" #text# @text@ `text` ^text^ ``text'' ``text`` The examples below contain inline literals, quoted text, and apostrophes. Each example should evaluate to the following HTML:: Some <TT>code</TT>, with a 'quote', "double", ain't it grand? Does <TT>a[b] = 'c' + "d" + `2^3`</TT> work? 0. Some code, with a quote, double, ain't it grand? Does a[b] = 'c' + "d" + `2^3` work? 1. Some 'code', with a \'quote\', "double", ain\'t it grand? Does 'a[b] = \'c\' + "d" + `2^3`' work? 2. Some \'code\', with a 'quote', "double", ain't it grand? Does \'a[b] = 'c' + "d" + `2^3`\' work? 3. Some ''code'', with a 'quote', "double", ain't it grand? Does ''a[b] = 'c' + "d" + `2^3`'' work? 4. Some "code", with a 'quote', \"double\", ain't it grand? Does "a[b] = 'c' + "d" + `2^3`" work? 5. Some \"code\", with a 'quote', "double", ain't it grand? Does \"a[b] = 'c' + "d" + `2^3`\" work? 6. Some ""code"", with a 'quote', "double", ain't it grand? Does ""a[b] = 'c' + "d" + `2^3`"" work? 7. Some #code#, with a 'quote', "double", ain't it grand? Does #a[b] = 'c' + "d" + `2^3`# work? 8. Some @code@, with a 'quote', "double", ain't it grand? Does @a[b] = 'c' + "d" + `2^3`@ work? 9. Some `code`, with a 'quote', "double", ain't it grand? Does `a[b] = 'c' + "d" + \`2^3\`` work? 10. Some ^code^, with a 'quote', "double", ain't it grand? Does ^a[b] = 'c' + "d" + `2\^3`^ work? 11. Some ``code'', with a 'quote', "double", ain't it grand? Does ``a[b] = 'c' + "d" + `2^3`'' work? 12. Some ``code``, with a 'quote', "double", ain't it grand? Does ``a[b] = 'c' + "d" + `2^3\``` work? Backquotes (#9 & #12) are the best choice. They are unobtrusive and relatviely rarely used (more rarely than ' or ", anyhow). Backquotes have the connotation of 'quotes', which other options (like carets, #10) don't. Analogously with ``*emph*`` & ``**strong**``, double-backquotes (#12) could be used for inline literals. If single-backquotes are used for 'interpreted text' (context-sensitive domain-specific descriptive markup) such as function name hyperlinks in Python docstrings, then double-backquotes could be used for absolute-literals, wherein no processing whatsoever takes place. An advantage of double-backquotes would be that backslash-escaping would no longer be necessary for embedded single-backquotes; however, embedded double-backquotes (in an end-string context) would be illegal. See `Backquotes in Phrase-Links`__ in `Record of reStructuredText Syntax Alternatives`__. __ alternatives.html#backquotes-in-phrase-links __ alternatives.html Alternative choices are carets (#10) and TeX-style quotes (#11). For examples of TeX-style quoting, see http://www.zope.org/Members/jim/StructuredTextWiki/CustomizingTheDocumentProcessor. Some existing uses of backquotes: 1. As a synonym for repr() in Python. 2. For command-interpolation in shell scripts. 3. Used as open-quotes in TeX code (and carried over into plaintext by TeXies). The inline markup start-string and end-string recognition rules defined by the `reStructuredText markup specification`_ would allow all of these cases inside inline literals, with very few exceptions. As a fallback, literal blocks could handle all cases. Outside of inline literals, the above uses of backquotes would require backslash-escaping. However, these are all prime examples of text that should be marked up with inline literals. If either backquotes or straight single-quotes are used as markup, TeX-quotes are too troublesome to support, so no special-casing of TeX-quotes should be done (at least at first). If TeX-quotes have to be used outside of literals, a single backslash-escaped would suffice: \``TeX quote''. Ugly, true, but very infrequently used. Using literal blocks is a fallback option which removes the need for backslash-escaping:: like this:: Here, we can do ``absolutely'' anything `'`'\|/|\ we like! No mechanism for inline literals is perfect, just as no escaping mechanism is perfect. No matter what we use, complicated inline expressions involving the inline literal quote and/or the backslash will end up looking ugly. We can only choose the least often ugly option. reStructuredText will use double backquotes for inline literals, and single backqoutes for interpreted text. Hyperlinks ========== There are three forms of hyperlink currently in StructuredText_: 1. (Absolute & relative URIs.) Text enclosed by double quotes followed by a colon, a URI, and concluded by punctuation plus white space, or just white space, is treated as a hyperlink:: "Python":http://www.python.org/ 2. (Absolute URIs only.) Text enclosed by double quotes followed by a comma, one or more spaces, an absolute URI and concluded by punctuation plus white space, or just white space, is treated as a hyperlink:: "mail me", mailto:me@mail.com 3. (Endnotes.) Text enclosed by brackets link to an endnote at the end of the document: at the beginning of the line, two dots, a space, and the same text in brackets, followed by the end note itself:: Please refer to the fine manual [GVR2001]. .. [GVR2001] Python Documentation, Release 2.1, van Rossum, Drake, et al., http://www.python.org/doc/ The problem with forms 1 and 2 is that they are neither intuitive nor unobtrusive (they break design goals 5 & 2). They overload double-quotes, which are too often used in ordinary text (potentially breaking design goal 4). The brackets in form 3 are also too common in ordinary text (such as [nested] asides and Python lists like [12]). Alternatives: 1. Have no special markup for hyperlinks. 2. A. Interpret and mark up hyperlinks as any contiguous text containing '://' or ':...@' (absolute URI) or '@' (email address) after an alphanumeric word. To de-emphasize the URI, simply enclose it in parentheses: Python (http://www.python.org/) B. Leave special hyperlink markup as a domain-specific extension. Hyperlinks in ordinary reStructuredText documents would be required to be standalone (i.e. the URI text inline in the document text). Processed hyperlinks (where the URI text is hidden behind the link) are important enough to warrant syntax. 3. The original Setext_ introduced a mechanism of indirect hyperlinks. A source link word ('hot word') in the text was given a trailing underscore:: Here is some text with a hyperlink_ built in. The hyperlink itself appeared at the end of the document on a line by itself, beginning with two dots, a space, the link word with a leading underscore, whitespace, and the URI itself:: .. _hyperlink http://www.123.xyz Setext used ``underscores_instead_of_spaces_`` for phrase links. With some modification, alternative 3 best satisfies the design goals. It has the advantage of being readable and relatively unobtrusive. Since each source link must match up to a target, the odd variable ending in an underscore can be spared being marked up (although it should generate a "no such link target" warning). The only disadvantage is that phrase-links aren't possible without some obtrusive syntax. We could achieve phrase-links if we enclose the link text: 1. in double quotes:: "like this"_ 2. in brackets:: [like this]_ 3. or in backquotes:: `like this`_ Each gives us somewhat obtrusive markup, but that is unavoidable. The bracketed syntax (#2) is reminiscent of links on many web pages (intuitive), although it is somewhat obtrusive. Alternative #3 is much less obtrusive, and is consistent with interpreted text: the trailing underscore indicates the interpretation of the phrase, as a hyperlink. #3 also disambiguates hyperlinks from footnote references. Alternative #3 wins. The same trailing underscore markup can also be used for footnote and citation references, removing the problem with ordinary bracketed text and Python lists:: Please refer to the fine manual [GVR2000]_. .. [GVR2000] Python Documentation, van Rossum, Drake, et al., http://www.python.org/doc/ The two-dots-and-a-space syntax was generalized by Setext for comments, which are removed from the (visible) processed output. reStructuredText uses this syntax for comments, footnotes, and link target, collectively termed "explicit markup". For link targets, in order to eliminate ambiguity with comments and footnotes, reStructuredText specifies that a colon always follow the link target word/phrase. The colon denotes 'maps to'. There is no reason to restrict target links to the end of the document; they could just as easily be interspersed. Internal hyperlinks (links from one point to another within a single document) can be expressed by a source link as before, and a target link with a colon but no URI. In effect, these targets 'map to' the element immediately following. As an added bonus, we now have a perfect candidate for reStructuredText directives, a simple extension mechanism: explicit markup containing a single word followed by two colons and whitespace. The interpretation of subsequent data on the directive line or following is directive-dependent. To summarize:: .. This is a comment. .. The line below is an example of a directive. .. version:: 1 This is a footnote [1]_. This internal hyperlink will take us to the footnotes_ area below. Here is a one-word_ external hyperlink. Here is `a hyperlink phrase`_. .. _footnotes: .. [1] Footnote text goes here. .. external hyperlink target mappings: .. _one-word: http://www.123.xyz .. _a hyperlink phrase: http://www.123.xyz The presence or absence of a colon after the target link differentiates an indirect hyperlink from a footnote, respectively. A footnote requires brackets. Backquotes around a target link word or phrase are required if the phrase contains a colon, optional otherwise. Below are examples using no markup, the two StructuredText hypertext styles, and the reStructuredText hypertext style. Each example contains an indirect link, a direct link, a footnote/endnote, and bracketed text. In HTML, each example should evaluate to:: <P>A <A HREF="http://spam.org">URI</A>, see <A HREF="#eggs2000"> [eggs2000]</A> (in Bacon [Publisher]). Also see <A HREF="http://eggs.org">http://eggs.org</A>.</P> <P><A NAME="eggs2000">[eggs2000]</A> "Spam, Spam, Spam, Eggs, Bacon, and Spam"</P> 1. No markup:: A URI http://spam.org, see eggs2000 (in Bacon [Publisher]). Also see http://eggs.org. eggs2000 "Spam, Spam, Spam, Eggs, Bacon, and Spam" 2. StructuredText absolute/relative URI syntax ("text":http://www.url.org):: A "URI":http://spam.org, see [eggs2000] (in Bacon [Publisher]). Also see "http://eggs.org":http://eggs.org. .. [eggs2000] "Spam, Spam, Spam, Eggs, Bacon, and Spam" Note that StructuredText does not recognize standalone URIs, forcing doubling up as shown in the second line of the example above. 3. StructuredText absolute-only URI syntax ("text", mailto:you@your.com):: A "URI", http://spam.org, see [eggs2000] (in Bacon [Publisher]). Also see "http://eggs.org", http://eggs.org. .. [eggs2000] "Spam, Spam, Spam, Eggs, Bacon, and Spam" 4. reStructuredText syntax:: 4. A URI_, see [eggs2000]_ (in Bacon [Publisher]). Also see http://eggs.org. .. _URI: http:/spam.org .. [eggs2000] "Spam, Spam, Spam, Eggs, Bacon, and Spam" The bracketed text '[Publisher]' may be problematic with StructuredText (syntax 2 & 3). reStructuredText's syntax (#4) is definitely the most readable. The text is separated from the link URI and the footnote, resulting in cleanly readable text. .. _StructuredText: https://zopestructuredtext.readthedocs.org/ .. _Setext: https://docutils.sourceforge.io/mirror/setext.html .. _reStructuredText: https://docutils.sourceforge.io/rst.html .. _detailed description: http://homepage.ntlworld.com/tibsnjoan/docutils/STNG-format.html .. _STMinus: http://www.cis.upenn.edu/~edloper/pydoc/stminus.html .. _StructuredTextNG: http://www.zope.org/DevHome/Members/jim/StructuredTextWiki/StructuredTextNG .. _README: http://cvs.sourceforge.net/cgi-bin/viewcvs.cgi/~checkout~/ python/python/dist/src/README .. _Emacs table mode: http://table.sourceforge.net/ .. _reStructuredText Markup Specification: ../../ref/rst/restructuredtext.html .. Local Variables: mode: indented-text indent-tabs-mode: nil sentence-end-double-space: t fill-column: 70 End: �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������runtime-settings-processing.txt���������������������������������������������������������������������0000664�0000000�0000000�00000024650�15141625651�0036564�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000�pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/dev�������������������������������������������������������������������������������������============================= Runtime Settings Processing ============================= :Author: David Goodger, Günter Milde :Contact: docutils-develop@lists.sourceforge.net :Date: $Date$ :Revision: $Revision$ :Copyright: This document has been placed in the public domain. :Abstract: A detailled description of Docutil's settings processing framework. .. contents:: The ``docutils/__init__.py``, ``docutils/core.py``, and ``docutils.frontend.py`` modules are described. Following along with the actual code is recommended. See `Docutils Runtime Settings`_ for a high-level description of the core API and `Docutils Configuration`_ for a description of the individual settings. .. note:: This document is informal. It describes the state in Docutils 0.18.1. Implementation details will change with the move to replace the deprecated optparse_ module with argparse_. Settings priority ================= Docutils overlays default and explicitly specified values from various sources such that settings behave the way we want and expect them to behave. The souces are overlaid in the following order (later sources overwrite earlier ones): 1. Defaults specified in `settings_spec`__ and `settings_defaults`__ attributes for each component_. (details__) __ ../api/runtime-settings.html#settingsspec-settings-spec __ ../api/runtime-settings.html#settingsspec-settings-defaults __ `OptionParser.populate_from_components()`_ 2. Defaults specified in `settings_default_overrides`__ attribute for each component_. (details__) __ ../api/runtime-settings.html#settingsspec-settings-default-overrides __ component.settings_default_overrides_ 3. Settings specified in the `settings_overrides parameter`_ of the `convenience functions`_ rsp. the `settings_overrides` attribute of a `core.Publisher` instance. (details__) __ OptionParser.defaults_ 4. If enabled, settings specified in `active sections`_ of the `configuration files`_ in the order described in `Configuration File Sections & Entries`_. (details__) See also `Configuration File Sections & Entries`_. __ `OptionParser.get_standard_config_settings()`_ 5. If enabled, command line arguments (details__). __ `Publisher.process_command_line()`_ Settings assigned to the `settings parameter`_ of the `convenience functions`_ or the ``Publisher.settings`` attribute are used **instead of** the above sources (see below for details for `command-line tools`__ and `other applications`__). __ `publisher.publish()`_ __ `publisher.process_programmatic_settings()`_ .. _command-line tools: Runtime settings processing for command-line tools ================================================== The command-line `front-end tools`_ usually import and call the `convenience function`_ ``docutils.core.publish_cmdline()``. 1. ``docutils.core.publish_cmdline()`` creates a `Publisher`_ instance:: publisher = core.Publisher(…, settings) eventually sets the components_ from the respective names, and calls :: publisher.publish(argv, …, settings_spec, settings_overrides, config_section, …) .. _publisher.publish(): 2. If `publisher.settings` is None, ``publisher.publish()`` calls:: publisher.process_command_line(…, settings_spec, config_section, **defaults) with `defaults` taken from `publisher.settings_overrides`. If `publisher.settings` is defined, steps 3 to 5 are skipped. 3. ``publisher.process_command_line()`` calls:: optpar = publisher.setup_option_parser(…, settings_spec, config_section, **defaults) .. _publisher.setup_option_parser(): 4. ``publisher.setup_option_parser()`` - merges the value of the `config_section parameter`_ into `settings_spec` and - creates an `OptionParser` instance :: optpar = docutils.frontend.OptionParser(components, defaults) with `components` the tuple of the `SettingsSpec`_ instances ``(publisher.parser, publisher.reader, publisher.writer, settings_spec)`` .. _OptionParser.populate_from_components(): 5. The `OptionParser` instance prepends itself to the `components` tuple and calls ``self.populate_from_components(components)``, which updates the attribute ``self.defaults`` in two steps: a) For each component passed, ``component.settings_spec`` is processed and ``component.settings_defaults`` is applied. .. _component.settings_default_overrides: b) In a second loop, for each component ``component.settings_default_overrides`` is applied. This way, ``component.settings_default_overrides`` can override the default settings of any other component. .. _OptionParser.defaults: 6. Back in ``OptionParser.__init__()``, ``self.defaults`` is updated with the `defaults` argument passed to ``OptionParser(…)`` in step 5. This means that the `settings_overrides` argument of the `convenience functions`_ has priority over all ``SettingsSpec.settings_spec`` defaults. .. _OptionParser.get_standard_config_settings(): 7. If configuration files are enabled, ``self.get_standard_config_settings()`` is called. This reads the Docutils `configuration files`_, and returns a dictionary of settings in `active sections`_ which is used to update ``optpar.defaults``. So configuration file settings have priority over all software-defined defaults. .. _Publisher.process_command_line(): 8. ``publisher.process_command_line()`` calls ``optpar.parse_args()``. The OptionParser parses all command line options and returns a `docutils.frontend.Values` object. This is assigned to ``publisher.settings``. So command-line options have priority over configuration file settings. 9. The `<source>` and `<destination>` command-line arguments are also parsed, and assigned to ``publisher.settings._source`` and ``publisher.settings._destination`` respectively. 10. ``publisher.publish()`` calls ``publisher.set_io()`` with no arguments. If either ``publisher.source`` or ``publisher.destination`` are not set, the corresponding ``publisher.set_source()`` and ``publisher.set_destination()`` are called: ``publisher.set_source()`` checks for a ``source_path`` argument, and if there is none (which is the case for command-line use), it is taken from ``publisher.settings._source``. ``publisher.source`` is set by instantiating a ``publisher.source_class`` object. For command-line front-end tools, the default ``publisher.source_class`` (i.e. ``docutils.io.FileInput``) is used. ``publisher.set_destination()`` does the same job for the destination. (the default ``publisher.destination_class`` is ``docutils.io.FileOutput``). .. _accessing the runtime settings: 11. ``publisher.publish()`` passes ``publisher.settings`` to the reader_ component's ``read()`` method. 12. The reader component creates a new `document root node`__. ``nodes.document.__init__()`` adds the settings to the internal attributes. __ ../ref/doctree.html#document All components acting on the Document Tree are handed the ``document`` root node and can access the runtime settings as ``document.settings``. Runtime settings processing for other applications ================================================== The `convenience functions`_ , ``core.publish_file()``, ``core.publish_string()``, or ``core.publish_parts()`` do not parse the command line for settings. 1. The convenience functions call the generic programmatic interface function ``core.publish_programmatically()`` that creates a `core.Publisher` instance :: pub = core.Publisher(…, settings) eventually sets the components_ from the respective names, and calls :: publisher.process_programmatic_settings( settings_spec, settings_overrides, config_section) .. _publisher.process_programmatic_settings(): 2. If `publisher.settings` is None, ``publisher.process_programmatic_settings()`` calls:: publisher.get_settings(settings_spec, config_section, **defaults) with `defaults` taken from `publisher.settings_overrides`. If `publisher.settings` is defined, the following steps are skipped. 3. ``publisher.get_settings()`` calls:: optpar = publisher.setup_option_parser(…, settings_spec, config_section, **defaults) 4. The OptionParser instance determines setting defaults as described in `steps 4 to 7`__ in the previous section. __ `publisher.setup_option_parser()`_ 5. Back in ``publisher.get_settings()``, the ``frontend.Values`` instance returned by ``optpar.get_default_values()`` is stored in ``publisher.settings``. 6. ``publish_programmatically()`` continues with setting ``publisher.source`` and ``publisher.destination``. 7. Finally, ``publisher.publish()`` is called. As ``publisher.settings`` is not None, no further command line processing takes place. 8. All components acting on the Document Tree are handed the ``document`` root node and can access the runtime settings as ``document.settings`` (cf. `steps 11 and 12`__ in the previous section). __ `accessing the runtime settings`_ .. References: .. _optparse: https://docs.python.org/dev/library/optparse.html .. _argparse: https://docs.python.org/dev/library/argparse.html .. _Docutils Runtime Settings: ../api/runtime-settings.html .. _active sections: ../api/runtime-settings.html#active-sections .. _SettingsSpec: ../api/runtime-settings.html#settingsspec .. _component: .. _components: ../api/runtime-settings.html#components .. _application settings specifications: .. _convenience function: .. _convenience functions: ../api/runtime-settings.html#convenience-functions .. _settings_overrides parameter: ../api/runtime-settings.html#settings-overrides-parameter .. _settings parameter: ../api/runtime-settings.html#settings-parameter .. _config_section parameter: ../api/runtime-settings.html#config-section-parameter .. _Publisher convenience functions: ../api/publisher.html#publisher-convenience-functions .. _front-end tools: ../user/tools.html .. _configuration file: .. _configuration files: .. _Docutils Configuration: ../user/config.html#configuration-files .. _Configuration File Sections & Entries: ../user/config.html#configuration-file-sections-entries .. _Docutils Project Model: ../peps/pep-0258.html#docutils-project-model .. _Publisher: ../peps/pep-0258.html#publisher .. _Reader: ../peps/pep-0258.html#reader ����������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/dev/semantics.txt����0000664�0000000�0000000�00000010637�15141625651�0033136�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������===================== Docstring Semantics ===================== :Author: David Goodger :Contact: docutils-develop@lists.sourceforge.net :Revision: $Revision$ :Date: $Date$ :Copyright: This document has been placed in the public domain. These are notes for a possible future PEP providing the final piece of the Python docstring puzzle: docstring semantics or documentation methodology. `PEP 257`_, Docstring Conventions, sketches out some guidelines, but does not get into methodology details. I haven't explored documentation methodology more because, in my opinion, it is a completely separate issue from syntax, and it's even more controversial than syntax. Nobody wants to be told how to lay out their documentation, a la JavaDoc_. I think the JavaDoc way is butt-ugly, but it *is* an established standard for the Java world. Any standard documentation methodology has to be formal enough to be useful but remain light enough to be usable. If the methodology is too strict, too heavy, or too ugly, many/most will not want to use it. I think a standard methodology could benefit the Python community, but it would be a hard sell. A PEP would be the place to start. For most human-readable documentation needs, the free-form text approach is adequate. We'd only need a formal methodology if we want to extract the parameters into a data dictionary, index, or summary of some kind. PythonDoc ========= (Not to be confused with Daniel Larsson's pythondoc_ project.) A Python version of the JavaDoc_ semantics (not syntax). A set of conventions which are understood by the Docutils. What JavaDoc has done is to establish a syntax that enables a certain documentation methodology, or standard *semantics*. JavaDoc is not just syntax; it prescribes a methodology. - Use field lists or definition lists for "tagged blocks". By this I mean that field lists can be used similarly to JavaDoc's ``@tag`` syntax. That's actually one of the motivators behind field lists. For example, we could have:: """ :Parameters: - `lines`: a list of one-line strings without newlines. - `until_blank`: Stop collecting at the first blank line if true (1). - `strip_indent`: Strip common leading indent if true (1, default). :Return: - a list of indented lines with minimum indent removed; - the amount of the indent; - whether or not the block finished with a blank line or at the end of `lines`. """ This is taken straight out of docutils/statemachine.py, in which I experimented with a simple documentation methodology. Another variation I've thought of exploits the Grouch_-compatible "classifier" element of definition lists. For example:: :Parameters: `lines` : [string] List of one-line strings without newlines. `until_blank` : boolean Stop collecting at the first blank line if true (1). `strip_indent` : boolean Strip common leading indent if true (1, default). - Field lists could even be used in a one-to-one correspondence with JavaDoc ``@tags``, although I doubt if I'd recommend it. Several ports of JavaDoc's ``@tag`` methodology exist in Python, most recently Ed Loper's "epydoc_". Other Ideas =========== - Can we extract comments from parsed modules? Could be handy for documenting function/method parameters:: def method(self, source, # path of input file dest # path of output file ): This would save having to repeat parameter names in the docstring. Idea from Mark Hammond's 1998-06-23 Doc-SIG post, "Re: [Doc-SIG] Documentation tool": it would be quite hard to add a new param to this method without realising you should document it - Frederic Giacometti's `iPhrase Python documentation conventions`_ is an attachment to his Doc-SIG post of 2001-05-30. .. _PEP 257: https://peps.python.org/pep-0257 .. _JavaDoc: http://java.sun.com/j2se/javadoc/ .. _pythondoc: http://starship.python.net/crew/danilo/pythondoc/ .. _Grouch: http://www.mems-exchange.org/software/grouch/ .. _epydoc: http://epydoc.sourceforge.net/ .. _iPhrase Python documentation conventions: https://mail.python.org/pipermail/doc-sig/2001-May/001840.html .. Local Variables: mode: indented-text indent-tabs-mode: nil sentence-end-double-space: t fill-column: 70 End: �������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/dev/testing.txt������0000664�0000000�0000000�00000022440�15141625651�0032620�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������=================== Docutils_ Testing =================== :Authors: Lea Wiemann <LeWiemann@gmail.com>; David Goodger <goodger@python.org>; Docutils developers <docutils-developers@lists.sourceforge.net> :Revision: $Revision$ :Date: $Date$ :Copyright: This document has been placed in the public domain. .. _Docutils: https://docutils.sourceforge.io/ .. contents:: When adding new functionality (or fixing bugs), be sure to add test cases to the test suite. Practise test-first programming; it's fun, it's addictive, and it works! This document describes how to run the Docutils test suite, how the tests are organized and how to add new tests or modify existing tests. Running the Test Suite ====================== Before checking in any changes, run the entire Docutils test suite to be sure that you haven't broken anything. From a shell do [#]_:: cd docutils/test python -u alltests.py Before `checking in`__ changes to the Docutils core, run the tests on all `supported Python versions`_ (see below for details). In a pinch, the edge cases should cover most of it. __ policies.html#check-ins .. note:: Due to incompatible customization of the standard unittest_ framework, the test suite does not work with popular test frameworks like pytest_ or nose_. .. _unittest: https://docs.python.org/3/library/unittest.html .. _pytest: https://pypi.org/project/pytest/ .. _nose: https://pypi.org/project/nose3/ .. cf. https://sourceforge.net/p/docutils/feature-requests/81/ .. [#] When using the `Python launcher for Windows`__, make sure to specify a Python version, e.g., ``py -3.9 -u alltests.py`` for Python 3.9. __ https://docs.python.org/3/using/windows.html#python-launcher-for-windows .. cf. https://sourceforge.net/p/docutils/bugs/434/ .. _Python versions: Testing across multiple Python versions --------------------------------------- A Docutils release has a commitment to support a minimum Python version [#]_ and beyond. Before a release is cut, tests must pass in all `supported versions`_. You can use `tox`_ to test with all supported versions in one go. From the shell:: cd docutils tox To test a specific version, use the ``pyNN`` environment. For example:: tox -e py37 `pyenv`_ can be installed and configured (see `installing pyenv`_) to get multiple Python versions:: # assuming your system runs 3.9.x pyenv install 3.7.12 pyenv install 3.8.12 pyenv install 3.10.1 pyenv global system 3.7.12 3.8.12 3.10.1 # reset your shims rm -rf ~/.pyenv/shims && pyenv rehash This will give you ``python3.7`` through ``python3.10``. Then run:: python3.7 -u alltests.py [...] python3.10 -u alltests.py .. [#] Good resources covering the differences between Python versions are the `What's New` documents (`What's New in Python 3.10`__ and similar). __ https://docs.python.org/3/whatsnew/3.10.html .. _supported versions: .. _supported Python versions: ../../README.html#requirements .. _pyenv: https://github.com/yyuu/pyenv .. _installing pyenv: https://github.com/yyuu/pyenv#installation .. _tox: https://pypi.org/project/tox/ Unit Tests ========== Unit tests test single functions or modules (i.e. whitebox testing). If you are implementing a new feature, be sure to write a test case covering its functionality. It happens very frequently that your implementation (or even only a part of it) doesn't work with an older (or even newer) Python version, and the only reliable way to detect those cases is using tests. Often, it's easier to write the test first and then implement the functionality required to make the test pass. Writing New Tests ----------------- When writing new tests, it very often helps to see how a similar test is implemented. For example, the files in the ``test_parsers/test_rst/`` directory all look very similar. So when adding a test, you don't have to reinvent the wheel. If there is no similar test, you can write a new test from scratch using Python's ``unittest`` module. For an example, please have a look at the following imaginary ``test_square.py``:: #! /usr/bin/env python # $Id$ # Author: Your Name <your_email_address@example.org> # Copyright: This module has been placed in the public domain. """ Test module for docutils.square. """ import unittest import docutils.square class SquareTest(unittest.TestCase): def test_square(self): self.assertEqual(docutils.square.square(0), 0) self.assertEqual(docutils.square.square(5), 25) self.assertEqual(docutils.square.square(7), 49) def test_square_root(self): self.assertEqual(docutils.square.sqrt(49), 7) self.assertEqual(docutils.square.sqrt(0), 0) self.assertRaises(docutils.square.SquareRootError, docutils.square.sqrt, 20) if __name__ == '__main__': unittest.main() For more details on how to write tests, please refer to the documentation of the ``unittest`` module. .. Note:: Unit tests and functional test should generally set :: settings_overrides['_disable_config'] = True in order to be independent on the users local configuration. .. _functional: Functional Tests ================ The directory ``test/functional/`` contains data for functional tests. Performing functional testing means testing the Docutils system as a whole (i.e. blackbox testing). Directory Structure ------------------- + ``functional/`` The main data directory. + ``input/`` The input files. - ``some_test.txt``, for example. + ``output/`` The actual output. - ``some_test.html``, for example. + ``expected/`` The expected output. - ``some_test.html``, for example. + ``tests/`` The config files for processing the input files. - ``some_test.py``, for example. - ``_default.py``, the `default configuration file`_. The Testing Process ------------------- When running ``test_functional.py``, all config files in ``functional/tests/`` are processed. (Config files whose names begin with an underscore are ignored.) The current working directory is always Docutils' main test directory (``test/``). For example, ``functional/tests/some_test.py`` could read like this:: # Source and destination file names. test_source = "some_test.txt" test_destination = "some_test.html" # Keyword parameters passed to publish_file. reader_name = "standalone" parser_name = "rst" writer_name = "html" settings_overrides['output-encoding'] = 'utf-8' # Relative to main ``test/`` directory. settings_overrides['stylesheet_path'] = '../docutils/writers/html4css1/html4css1.css' The two variables ``test_source`` and ``test_destination`` contain the input file name (relative to ``functional/input/``) and the output file name (relative to ``functional/output/`` and ``functional/expected/``). Note that the file names can be chosen arbitrarily. However, the file names in ``functional/output/`` *must* match the file names in ``functional/expected/``. If defined, ``_test_more`` must be a function with the following signature:: def _test_more(expected_dir, output_dir, test_case, parameters): This function is called from the test case to perform tests beyond the simple comparison of expected and actual output files. ``test_source`` and ``test_destination`` are removed from the namespace, as are all variables whose names begin with an underscore ("_"). The remaining names are passed as keyword arguments to ``docutils.core.publish_file``, so you can set reader, parser, writer and anything else you want to configure. Note that ``settings_overrides`` is already initialized as a dictionary *before* the execution of the config file. Creating New Tests ------------------ In order to create a new test, put the input test file into ``functional/input/``. Then create a config file in ``functional/tests/`` which sets at least input and output file names, reader, parser and writer. Now run ``test_functional.py``. The test will fail, of course, because you do not have an expected output yet. However, an output file will have been generated in ``functional/output/``. Check this output file for validity [#]_ and correctness. Then copy the file to ``functional/expected/``. If you rerun ``test_functional.py`` now, it should pass. If you run ``test_functional.py`` later and the actual output doesn't match the expected output anymore, the test will fail. If this is the case and you made an intentional change, check the actual output for validity and correctness, copy it to ``functional/expected/`` (overwriting the old expected output), and commit the change. .. [#] The validity of `Docutils XML` can be tested with ``xmllint <document-referencing-local-Docutils-DTD>.xml --valid --noout``. .. note: the ``--dtdvalid`` and ``--nonet`` options did not help override a reference to the PUBLIC "docutils.dtd" if there is a local version on the system (e.g. /usr/share/xml/docutils/docutils.dtd in Debian). .. _default configuration file: The Default Configuration File ------------------------------ The file ``functional/tests/_default.py`` contains default settings. It is executed just before the actual configuration files, which has the same effect as if the contents of ``_default.py`` were prepended to every configuration file. ��������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/dev/todo.txt���������0000664�0000000�0000000�00000300453�15141625651�0032113�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������====================== Docutils_ To Do List ====================== :Author: David Goodger (with input from many); open to all Docutils developers :Contact: docutils-develop@lists.sourceforge.net :Date: $Date$ :Revision: $Revision$ :Copyright: This document has been placed in the public domain. .. _Docutils: https://docutils.sourceforge.io/ .. contents:: Priority items are marked with "@" symbols. The more @s, the higher the priority. Items in question form (containing "?") are ideas which require more thought and debate; they are potential to-do's. Many of these items are awaiting champions. If you see something you'd like to tackle, please do! Please see also the Bugs_ document for a list of bugs in Docutils. .. _bugs: ../../BUGS.html Minimum Requirements for Python Standard Library Candidacy ========================================================== Below are action items that must be added and issues that must be addressed before Docutils can be considered suitable to be proposed for inclusion in the Python standard library. Many of these are now handled by Sphinx_ * Support for `document splitting`_. May require some major code rework. * Support for subdocuments (see `large documents`_). * `Object numbering and object references`_. * `Nested inline markup`_. * `Python Source Reader`_. * The HTML writer needs to be rewritten (or a second HTML writer added) to allow for custom classes, and for arbitrary splitting (stack-based?). * Documentation_ of the architecture. Other docs too. * Plugin support. * Suitability for `Python module documentation <https://docutils.sourceforge.io/sandbox/README.html#documenting-python>`_. .. _Sphinx: http://www.sphinx-doc.org/ Repository ========== Move to a Git repository. * This is a long standing `feature request`__ (with pointers to Sphinx issues and discussion). __ https://sourceforge.net/p/docutils/feature-requests/58/ * From a `post by David Goodger`__ An absolute requirement, for me, is that such a change be complete. We can't lose any data or have to refer to the old system as an "archive". So all the SVN history, all branches, and the full sandbox need to be converted at the same time. __ https://sourceforge.net/p/docutils/mailman/message/31878077/ Convert with reposurgeon_? If you are doing a full import rather than gatewaying, reposurgeon is probably what you want. It has been tested against a lot of large, old, nasty repositories and is thus known to be robust in the presence of repository malformations (a property regularly checked by a test suite that is a rogue's gallery of Subversion botches). -- `Git Wiki`__ The comprehensive `Reposurgeon documentation`_ comes with `a guide to repository conversion`__ as well as info about `reading Subversion repositories`__. Converting from an SVN dump file is faster than from a checkout. .. _reposurgeon: http://www.catb.org/esr/reposurgeon/ .. _reposurgeon documentation: http://www.catb.org/esr/reposurgeon/repository-editing.html __ https://git.wiki.kernel.org/index.php/ Interfaces,_frontends,_and_tools#Subversion __ http://www.catb.org/esr/reposurgeon/repository-editing.html#conversion __ http://www.catb.org/esr/reposurgeon/repository-editing.html #_reading_subversion_repositories Adam Turner wrote a conversion Makefile and ``.lift`` scripts that downloads the repo from SF with rsync, converts it to a SVN mirror and finally to Git, splitting sandbox, prest, and web from docutils. Sourceforge supports multiple Git repositories per project, so we can switch the version control system independent of the decision on an eventual switch of the host. Cf. https://sourceforge.net/p/forge/documentation/Git/ General ======= Miscellaneous ------------- Code cleanup and modernization: Use flake8_? See also the configuration in `<../../tox.ini>`__. Check and solve issue from :PEP:`290` - Code Migration and Modernization. (Covers issues up to Python 2.4, is there an equivalent for more recent modernizations?) Ensure `backwards compatibility`_! .. _flake8: https://pypi.org/project/flake8/ .. _backwards compatibility: policies.html#backwards-compatibility-policy * Encoding of command line arguments can only be guessed: * try UTF-8/strict first, then try the locale's encoding with strict error handling, then ASCII/replace? UTF-8 is almost 100% safe to try first; false positives are rare, The locale's encoding with strict error handling may be a reasonable compromise, but any error would indicate that the locale's encoding is inappropriate. The only safe fallback is ASCII/replace. * Do not decode argv before option parsing but individual string values? +1 Allows for separate command-line vs. filesystem encodings, respectively to keep file names encoded. +1 Allows to configure command-line encoding in a config file, -1 More complicated. Cf. <http://thread.gmane.org/gmane.text.docutils.user/2890/focus=2957>. * Improve handling on Windows: - Get graphical installer. - Make rst2html.py an .exe file using py2exe. * .. _GUI: The user interface is very difficult to use for most Windows users; you can't really expect them to use the command line. We need some kind of GUI that can launch rst2html.py, and save the HTML output to a file, and launch a browser. What's important is that we get settings to work with the GUI. So we need some way to dynamically generate a list of settings for the GUI. The current settings_spec for OptionParser doesn't seem to be usable for this for the following reasons: - It's biased toward the command line -- there are *two* options for one boolean setting. - You cannot have both a one-line description and a longer description for tooltips/help-texts. - It doesn't provide hints for the input type. You cannot easily infer the type of a setting from its validator, because any component can add new validators. In fact, it may be necessary to have both a hint about the input type (e.g. string) and a validator (valid ID), or it may be necessary to have a different set of choices for the CLI (1, INFO, 2, ...) and for the GUI (INFO, WARNING, ...). - It's coupled to the OptionParser. We want to be able to change the underlying system without breaking everything. - It's a bunch of primitive structures. We want an extensible (thus object-oriented) interface. So we probably need to create a class for storing all the settings, and auto-generate the OptionParser data from that. I talked to Stephan Deibel about getting Docutils integrated into Wing IDE. He said it's possible, and he'd be willing to help. There's a scripting interface to Wing, which we'd use. We can dynamically generate a list of preferences and not worry too much about the rendering (from what I understood); Wing's whole GUI is dynamic anyway. The interface could be made usable for other GUIs. For example, we could try to get option support for DocFactory. // FW * Allow different report levels for STDERR and system_messages inside the document? * Change the docutils-update script (in sandbox/infrastructure), to support arbitrary branch snapshots. * Move some general-interest sandboxes out of individuals' directories, into subprojects? * Add option for file (and URL) access restriction to make Docutils usable in Wikis and similar applications. 2005-03-21: added ``file_insertion_enabled`` & ``raw_enabled`` settings. These partially solve the problem, allowing or disabling **all** file accesses, but not limited access. * Configuration_ file handling needs discussion: - There should be some error checking on the contents of config files. How much checking should be done? How loudly should Docutils complain if it encounters an error/problem? - Docutils doesn't complain when it doesn't find a configuration file supplied with the ``--config`` option. Should it? (If yes, error or warning?) * Internationalization: - I18n needs refactoring, the language dictionaries are difficult to maintain. Maybe have a look at gettext or similar tools. (This would make a nice Google Summer of Code project) - Language modules: in accented languages it may be useful to have both accented and unaccented entries in the ``bibliographic_fields`` mapping for versatility. - Add a "--strict-language" option & setting: no English fallback for language-dependent features. Make this the default for output (as opposed to input)? Throw an error with a helpful message, e.g. Default "contents" title for language %s missing, please specify an explicit title. or "attention" title for language %s missing, please use a generic admonition with explicit title. - Add internationalization to _`footer boilerplate text` (resulting from "--generator", "--source-link", and "--date" etc.), allowing translations. * Add validation? See http://pytrex.sourceforge.net, RELAX NG, pyRXP. * In ``docutils.readers.get_reader_class`` (& ``parsers`` & ``writers`` too), should we be importing "standalone" or "docutils.readers.standalone"? (This would avoid importing top-level modules if the module name is not in docutils/readers. Potential nastiness.) * Perhaps store a _`name-to-id mapping file`? This could be stored permanently, read by subsequent processing runs, and updated with new entries. ("Persistent ID mapping"?) * Perhaps the ``Component.supports`` method should deal with individual features ("meta" etc.) instead of formats ("html" etc.)? Currently, it is not used at all. Do we need it at all? Or rather let the writers just ignore some nodes (like we already do for "class" values)? The current implementation of the framework also leads to bug `bug #241`__ "doctree-based publishing != publish_string". The "components.Filter" transform is run by publish_doctree(). When filtering based on the output format, it should be run by publish_from_doctree() instead because only then the writer is known. So we need to either remove or fix the framework. __ https://sourceforge.net/p/docutils/bugs/241/ * Think about _`large documents` made up of multiple subdocument files. Issues: continuity (`persistent sequences`_ above), cross-references (`name-to-id mapping file`_ above and `targets in other documents`_ below), splitting (`document splitting`_ below). When writing a book, the author probably wants to split it up into files, perhaps one per chapter (but perhaps even more detailed). However, we'd like to be able to have references from one chapter to another, and have continuous numbering (pages and chapters, as applicable). Of course, none of this is implemented yet. There has been some thought put into some aspects; see `the "include" directive`__ and the `Reference Merging`_ transform below. When I was working with SGML in Japan, we had a system where there was a top-level coordinating file, book.sgml, which contained the top-level structure of a book: the <book> element, containing the book <title> and empty component elements (<preface>, <chapter>, <appendix>, etc.), each with filename attributes pointing to the actual source for the component. Something like this:: <book id="bk01"> <title>Title of the Book (The "inrefid" attribute stood for "insertion reference ID".) The processing system would process each component separately, but it would recognize and use the book file to coordinate chapter and page numbering, and keep a persistent ID to (title, page number) mapping database for cross-references. Docutils could use a similar system for large-scale, multipart documents. __ ../ref/rst/directives.html#including-an-external-document-fragment Aahz's idea: First the ToC:: .. ToC-list:: Introduction.txt Objects.txt Data.txt Control.txt Then a sample use:: .. include:: ToC.txt As I said earlier in chapter :chapter:`Objects.txt`, the reference count gets increased every time a binding is made. Which produces:: As I said earlier in chapter 2, the reference count gets increased every time a binding is made. The ToC in this form doesn't even need to be references to actual reST documents; I'm simply doing it that way for a minimum of future-proofing, in case I do want to add the ability to pick up references within external chapters. Perhaps, instead of ToC (which would overload the "contents" directive concept already in use), we could use "manifest". A "manifest" directive might associate local reference names with files:: .. manifest:: intro: Introduction.txt objects: Objects.txt data: Data.txt control: Control.txt Then the sample becomes:: .. include:: manifest.txt As I said earlier in chapter :chapter:`objects`, the reference count gets increased every time a binding is made. * Add support for _`multiple output files` and _`generic data handling`: It should be possible for a component to **emit or reference** data to be either **included or referenced** in the output document. Examples of such data are stylesheets or images. For this, we need a "data" object which stores the data either inline or by referring to a file. The Docutils framework is responsible for either: * storing the data in the appropriate location (e.g. in the directory of the output file, or in a user-specified directory) and providing the paths of the stored files to the writer, *or* * providing the data itself to the writer so that it can be embedded in the output document. This approach decouples data handling from the data source (which can either be embedded or referenced) and the destination (which can either be embedded or referenced as well). See . * Add testing for Docutils' front end tools? * Publisher: "Ordinary setup" shouldn't require specific ordering; at the very least, there ought to be error checking higher up in the call chain. [Aahz] ``Publisher.get_settings`` requires that all components be set up before it's called. Perhaps the I/O *objects* shouldn't be set, but I/O *classes*. Then options are set up (``.set_options``), and ``Publisher.set_io`` (or equivalent code) is called with source & destination paths, creating the I/O objects. Perhaps I/O objects shouldn't be instantiated until required. For split output, the Writer may be called multiple times, once for each doctree, and each doctree should have a separate Output object (with a different path). Is the "Builder" pattern applicable here? * Perhaps I/O objects should become full-fledged components (i.e. subclasses of ``docutils.Component``, as are Readers, Parsers, and Writers now), and thus have associated option/setting specs and transforms. * Multiple file I/O suggestion from Michael Hudson: use a file-like object or something you can iterate over to get file-like objects. * Add an "--input-language" option & setting? Specify a different language module for input (bibliographic fields, directives) than for output. The "--language" option would set both input & output languages. * Auto-generate reference tables for language-dependent features? Could be generated from the source modules. A special command-line option could be added to Docutils front ends to do this. (Idea from Engelbert Gruber.) * Enable feedback of some kind from internal decisions, such as reporting the successful input encoding. Modify runtime settings? System message? Simple stderr output? * Rationalize Writer settings (HTML/LaTeX/PEP) -- share settings. * Add an "--include file" command-line option (config setting too?), equivalent to ".. include:: file" as the first line of the doc text? Especially useful for character entity sets, text transform specs, boilerplate, etc. * Support "include" as embedded inline-compatible directive in substitution definitions, e.g. :: .. |version| include:: version.txt This document describes version |version| of ... (cf. Grzegorz Adam Hankiewicz's post from 2014-10-01 in docutils-devel) * Add an ``:optional: `` option to the "include" directive? This would not throw an error for a missing file, instead a warning is given and ```` is used instead. It would be the responsibility of the author to ensure the missing file does not lead to problems later in the document. Use cases: + Standard rST syntax to replace Sphinx's "literalinclude":: .. include:: blah.cpp :literal: :optional: file ``blah.cpp`` not found + Variable content taken from a file, e.g. version.txt:: .. |version| replace:: 3.1 optionally used as:: .. include:: version.txt :optional: .. |version| replace:: unknown This document describes version |version| of ... (cf. Grzegorz Adam Hankiewicz's post from 2014-10-01 in docutils-devel) * Parameterize the Reporter object or class? See the `2004-02-18 "rest checking and source path"`_ thread. .. _2004-02-18 "rest checking and source path": http://thread.gmane.org/gmane.text.docutils.user/1112 * Add a "disable_transforms" setting? Would allow for easy syntax checking. Where ("null" writer, generic, parser(s))? Cf. the `2004-02-18 "rest checking and source path"`_ thread. * Add a generic meta-stylesheet mechanism? An external file could associate style names ("class" attributes) with specific elements. Could be generalized to arbitrary output attributes; useful for HTML & XMLs. Aahz implemented something like this in sandbox/aahz/Effective/EffMap.py. * .. _classes for table cells: William Dode suggested that table cells be assigned "class" attributes by columns, so that stylesheets can affect text alignment. Unfortunately, there doesn't seem to be a way (in HTML at least) to leverage the "colspec" elements (HTML "col" tags) by adding classes to them. The resulting HTML is very verbose:: 111 222 ... At the very least, it should be an option. People who don't use it shouldn't be penalized by increases in their HTML file sizes. Table rows could also be assigned classes (like odd/even). That would be easier to implement. How should it be implemented? * There could be writer options (column classes & row classes) with standard values. * The table directive could grow some options. Something like ":cell-classes: col1 col2 col3" (either must match the number of columns, or repeat to fill?) and ":row-classes: odd even" (repeat to fill; body rows only, or header rows too?). Probably per-table directive options are best. The "class" values could be used by any writer, and applying such classes to all tables in a document with writer options is too broad. See also the `table_styling Sphinx extension`_ which defines :widths: also in Docutils core (but different implementation) :column-alignment: Sets per-column text alignment :column-wrapping: Sets per-column text wrapping :column-dividers: Add dividers between columns :column-classes: Add per-column css classes. :header-columns: Specify number of “stub†columns .. _table_styling Sphinx extension: https://pythonhosted.org/cloud_sptheme/ lib/cloud_sptheme.ext.table_styling.html * Add file-specific settings support to config files, like:: [file index.txt] compact-lists: no Is this even possible? Should the criterion be the name of the input file or the output file? Alternative (more explicit) syntax:: [source_file index.txt] ... [dest_file index.html] ... Or rather allow settings configuration from the rst source file (see misc.settings_ directive)? * The "validator" support added to OptionParser is very similar to "traits_" in SciPy_. Perhaps something could be done with them? (Had I known about traits when I was implementing docutils.frontend, I may have used them instead of rolling my own.) .. _traits: http://code.enthought.com/traits/ .. _SciPy: http://www.scipy.org/ * tools/buildhtml.py: Extend the --prune option ("prune" config setting) to accept file names (generic path) in addition to directories (e.g. --prune=docs/user/rst/cheatsheet.txt, which should *not* be converted to HTML). * Add support for _`plugins`. * _`Config directories`: Currently, ~/.docutils, ./docutils.conf/, & /etc/docutils.conf are read as configuration_ files. Proposal: allow ~/.docutils to be a a configuration *directory*, along with /etc/docutils/ and ./docutils.conf/. Within these directories, check for config.txt files. We can also have subdirectories here, for plugins, S5 themes, components (readers/writers/parsers) etc. Docutils will continue to support configuration files for backwards compatibility. * Add support for document decorations other than headers & footers? For example, top/bottom/side navigation bars for web pages. Generic decorations? Seems like a bad idea as long as it isn't independent from the output format (for example, navigation bars are only useful for web pages). * docutils_update: Check for a ``Makefile`` in a directory, and run ``make`` if found? This would allow for variant processing on specific source files, such as running rst2s5.py instead of rst2html.py. * Add a "disable table of contents" setting? The S5 writer could set it as a default. Rationale: The ``contents`` (table of contents) directive must not be used [in S5/HTML documents]. It changes the CSS class of headings and they won't show up correctly in the screen presentation. -- `Easy Slide Shows With reStructuredText & S5 <../user/slide-shows.html>`_ Analogue to the ``sectnum_xform`` setting, it could be used by the latex writer to switch to a LaTeX generated ToC (currently, the latex writer calls it "use_latex_toc"). object numbering and object references -------------------------------------- For equations, tables & figures. These would be the equivalent of DocBook's "formal" elements. In LaTeX, automatic counters are implemented for sections, equations and floats (figures, tables) (configurable via stylesheets or in the latex-preamble). Objects can be given `reference names`_ with the ``\label{}`` inserts the corresponding number. No such mechanism exists in HTML. * We need _`persistent sequences`, similar to chapter and footnote numbers. See `OpenOffice.org XML`_ "fields". - Should the sequences be automatic or manual (user-specifyable)? * It is already possible to give `reference names`_ to objects via internal hyperlink targets or the "name" directive option:: .. _figure name: .. figure:: image.png or :: .. figure:: image.png :name: figure name Improve the mapping of "phrase references" to IDs/labels with Literal transcription (i.e. ü -> ue, ß -> ss, Ã¥ -> aa) instead of just stripping the accents and other non-ASCII chars. See also the feature request `allow more characters when transforming "names" to "ids"`__. A "table" directive has been implemented, supporting table titles. Perhaps the name could derive from the title/caption? .. _reference names: ../ref/rst/restructuredtext.html#reference-names __ https://sourceforge.net/p/docutils/feature-requests/66/ * We need syntax for object references. Cf. `OpenOffice.org XML`_ "reference fields": - Parameterized substitutions are too complicated (cf. `or not to do`: `object references`_) - An interpreted text approach is simpler and better:: See Figure :ref:`figure name` and Equation :ref:`eq:identity`. - "equation", "figure", and "page" roles could generate appropriate boilerplate text:: See :figure:`figure name` on :page:`figure name`. See `Interpreted Text`_ below. Reference boilerplate could be specified in the document (defaulting to nothing):: .. fignum:: :prefix-ref: "Figure " :prefix-caption: "Fig. " :suffix-caption: : The position of the role (prefix or suffix) could also be utilized .. _OpenOffice.org XML: http://xml.openoffice.org/ .. _object references: rst/alternatives.html#object-references See also the `Modified rst2html `__ by Nicolas Rougier for a sample implementation. Documentation ============= User Docs --------- * Add a FAQ entry about using Docutils (with reStructuredText) on a server and that it's terribly slow. See the first paragraphs in . * Add document about what Docutils has previously been used for (web/use-cases.txt?). * Improve index in docs/user/config.txt. Developer Docs -------------- * Improve the internal module documentation (docstrings in the code). Specific deficiencies listed below. - docutils.parsers.rst.states.State.build_table: data structure required (including StringList). - docutils.parsers.rst.states: more complete documentation of parser internals. * docs/ref/doctree.txt: DTD element structural relationships, semantics, and attributes. In progress; element descriptions to be completed. * Document the ``pending`` elements, how they're generated and what they do. * Document the transforms_ (perhaps in docstrings?): how they're used, what they do, dependencies & order considerations. * Document the HTML classes used by html4css1.py. * Write an overview of the Docutils architecture, as an introduction for developers. What connects to what, why, and how. Either update PEP 258 (see PEPs_ below) or as a separate doc. * Give information about unit tests. Maybe as a howto? * Document the docutils.nodes APIs. * Complete the docs/api/publisher.txt docs. How-Tos ------- * Creating Docutils Writers * Creating Docutils Readers * Creating Docutils Transforms_ * Creating Docutils Parsers * Using Docutils as a Library PEPs ---- * Complete PEP 258 Docutils Design Specification. - Fill in the blanks in API details. - Specify the nodes.py internal data structure implementation? [Tibs:] Eventually we need to have direct documentation in there on how it all hangs together - the DTD is not enough (indeed, is it still meant to be correct? [Yes, it is. --DG]). * Rework PEP 257, separating style from spec from tools, wrt Docutils? See Doc-SIG from 2001-06-19/20. Python Source Reader ==================== General: * Analyze Tony Ibbs' PySource code. * Analyze Doug Hellmann's HappyDoc project. * Investigate how POD handles literate programming. * Take the best ideas and integrate them into Docutils. Miscellaneous ideas: * Ask Python-dev for opinions (GvR for a pronouncement) on special variables (__author__, __version__, etc.): convenience vs. namespace pollution. Ask opinions on whether or not Docutils should recognize & use them. * If we can detect that a comment block begins with ``##``, a la JavaDoc, it might be useful to indicate interspersed section headers & explanatory text in a module. For example:: """Module docstring.""" ## # Constants # ========= a = 1 b = 2 ## # Exception Classes # ================= class MyException(Exception): pass # etc. * Should standalone strings also become (module/class) docstrings? Under what conditions? We want to prevent arbitrary strings from becoming docstrings of prior attribute assignments etc. Assume that there must be no blank lines between attributes and attribute docstrings? (Use lineno of NEWLINE token.) Triple-quotes are sometimes used for multi-line comments (such as commenting out blocks of code). How to reconcile? * HappyDoc's idea of using comment blocks when there's no docstring may be useful to get around the conflict between `additional docstrings`_ and ``from __future__ import`` for module docstrings. A module could begin like this:: #!/usr/bin/env python # :Author: Me # :Copyright: whatever """This is the public module docstring (``__doc__``).""" # More docs, in comments. # All comments at the beginning of a module could be # accumulated as docstrings. # We can't have another docstring here, because of the # ``__future__`` statement. from __future__ import division Using the JavaDoc convention of a doc-comment block beginning with ``##`` is useful though. It allows doc-comments and implementation comments. .. _additional docstrings: ../peps/pep-0258.html#additional-docstrings * HappyDoc uses an initial comment block to set "parser configuration values". Do the same thing for Docutils, to set runtime settings on a per-module basis? I.e.:: # Docutils:setting=value Could be used to turn on/off function parameter comment recognition & other marginal features. Could be used as a general mechanism to augment config files and command-line options (but which takes precedence?). * Multi-file output should be divisible at arbitrary level. * Support all forms of ``import`` statements: - ``import module``: listed as "module" - ``import module as alias``: "alias (module)" - ``from module import identifier``: "identifier (from module)" - ``from module import identifier as alias``: "alias (identifier from module)" - ``from module import *``: "all identifiers (``*``) from module" * Have links to colorized Python source files from API docs? And vice-versa: backlinks from the colorized source files to the API docs! * In summaries, use the first *sentence* of a docstring if the first line is not followed by a blank line. reStructuredText Parser ======================= Also see the `... Or Not To Do?`__ list. __ rst/alternatives.html#or-not-to-do Bugs ---- * A container directive with ``:class:`` option gets the spurious class value "class". Misc ---- * Another list problem:: * foo * bar * baz This ends up as a definition list. This is more of a usability issue. * This case is probably meant to be a nested list, but it ends up as a list inside a block-quote without an error message:: - foo - bar It should probably just be an error. The problem with this is that you don't notice easily in HTML that it's not a nested list but a block-quote -- there's not much of a visual difference. * Treat enumerated lists that are not arabic and consist of only one item in a single line as ordinary paragraphs. See . * The citation syntax could use some improvements. See (and the sub-thread at , and the follow-ups at , , ), , , , , . * The current list-recognition logic has too many false positives, as in :: * Aorta * V. cava superior * V. cava inferior Here ``V.`` is recognized as an enumerator, which leads to confusion. We need to find a solution that resolves such problems without complicating the spec to much. See . * Add indirect links via citation references & footnote references. Example:: `Goodger (2005)`_ is helpful. .. _Goodger (2005): [goodger2005]_ .. [goodger2005] citation text See . * Complain about bad URI characters (http://article.gmane.org/gmane.text.docutils.user/2046) and disallow internal whitespace (http://article.gmane.org/gmane.text.docutils.user/2214). * Create ``info``-level system messages for unnecessarily backslash-escaped characters (as in ``"\something"``, rendered as "something") to allow checking for errors which silently slipped through. * Add (functional) tests for untested roles. * Add test for ":figwidth: image" option of "figure" directive. (Test code needs to check if PIL is available on the system.) * Add support for CJK double-width whitespace (indentation) & punctuation characters (markup; e.g. double-width "*", "-", "+")? * Add motivation sections for constructs in spec. * Support generic hyperlink references to _`targets in other documents`? Not in an HTML-centric way, though (it's trivial to say ``https://www.example.org/doc#name``, and useless in non-HTML contexts). XLink/XPointer? ``.. baseref::``? See Doc-SIG 2001-08-10. * Implement the header row separator modification to table.el. (Wrote to Takaaki Ota & the table.el mailing list on 2001-08-12, suggesting support for "=====" header rows. On 2001-08-17 he replied, saying he'd put it on his to-do list, but "don't hold your breath".) * Fix the parser's indentation handling to conform with the stricter definition in the spec. (Explicit markup blocks should be strict or forgiving?) .. XXX What does this mean? Can you elaborate, David? * Make the parser modular. Allow syntax constructs to be added or disabled at run-time. Subclassing is probably not enough because it makes it difficult to apply multiple extensions. * Generalize the "doctest block" construct (which is overly Python-centric) to other interactive sessions? "Doctest block" could be renamed to "I/O block" or "interactive block", and each of these could also be recognized as such by the parser: - Shell sessions:: $ cat example1.txt A block beginning with a "$ " prompt is interpreted as a shell session interactive block. As with Doctest blocks, the interactive block ends with the first blank line, and wouldn't have to be indented. - Root shell sessions:: # cat example2.txt A block beginning with a "# " prompt is interpreted as a root shell session (the user is or has to be logged in as root) interactive block. Again, the block ends with a blank line. Other standard (and unambiguous) interactive session prompts could easily be added (such as "> " for WinDOS). Tony Ibbs spoke out against this idea (2002-06-14 Doc-SIG thread "docutils feedback"). * Add support for pragma (syntax-altering) directives. Some pragma directives could be local-scope unless explicitly specified as global/pragma using ":global:" options. * Support whitespace in angle-bracketed standalone URLs according to Appendix E ("Recommendations for Delimiting URI in Context") of `RFC 2396`_. .. _RFC 2396: https://www.rfc-editor.org/rfc/rfc2396.txt * Use the vertical spacing of the source text to determine the corresponding vertical spacing of the output? * [From Mark Nodine] For cells in simple tables that comprise a single line, the justification can be inferred according to the following rules: 1. If the text begins at the leftmost column of the cell, then left justification, ELSE 2. If the text begins at the rightmost column of the cell, then right justification, ELSE 3. Center justification. The onus is on the author to make the text unambiguous by adding blank columns as necessary. There should be a parser setting to turn off justification-recognition (normally on would be fine). Decimal justification? All this shouldn't be done automatically. Only when it's requested by the user, e.g. with something like this:: .. table:: :auto-indent: (Table goes here.) Otherwise it will break existing documents. * Generate a warning or info message for paragraphs which should have been lists, like this one:: 1. line one 3. line two * Generalize the "target-notes" directive into a command-line option somehow? See docutils-develop 2003-02-13. * Allow a "::"-only paragraph (first line, actually) to introduce a _`literal block without a blank line`? (Idea from Paul Moore.) :: :: This is a literal block Is indentation enough to make the separation between a paragraph which contains just a ``::`` and the literal text unambiguous? (There's one problem with this concession: If one wants a definition list item which defines the term "::", we'd have to escape it.) It would only be reasonable to apply it to "::"-only paragraphs though. I think the blank line is visually necessary if there's text before the "::":: The text in this paragraph needs separation from the literal block following:: This doesn't look right. * Add new syntax for _`nested inline markup`? Or extend the parser to parse nested inline markup somehow? See the `collected notes `__. * Drop the backticks from embedded URIs with omitted reference text? Should the angle brackets be kept in the output or not? :: _ Probably not worth the trouble. * How about a syntax for alternative hyperlink behavior, such as "open in a new window" (as in HTML's ````)? The MoinMoin wiki uses a caret ("^") at the beginning of the URL ("^" is not a legal URI character). That could work for both inline and explicit targets:: The `reference docs <^url>`__ may be handy. .. _name: ^url This may be too specific to HTML. It hasn't been requested very often either. * Add an option to add URI schemes at runtime. * _`Segmented lists`:: : segment : segment : segment : segment : segment : very long segment : segment : segment : segment The initial colon (":") can be thought of as a type of bullet We could even have segment titles:: :: title : title : title : segment : segment : segment : segment : segment : segment This would correspond well to DocBook's SegmentedList. Output could be tabular or "name: value" pairs, as described in DocBook's docs. * Enable grid _`tables inside XML comments`, where "``--``" ends comments. Implementation possibilities: 1. Make the table syntax characters into "table" directive options. This is the most flexible but most difficult, and we probably don't need that much flexibility. 2. Substitute "~" for "-" with a specialized directive option (e.g. ":tildes:"). 3. Make the standard table syntax recognize "~" as well as "-", even without a directive option. Individual tables would have to be internally consistent. 4. Allow Unicode box characters for table markup (`feature request [6]`_) Directive options are preferable to configuration settings, because tables are document-specific. A pragma directive would be another approach, to set the syntax once for a whole document. Unicode box character markup would kill two birds with one stone. In the meantime, the list-table_ directive is a good replacement for grid tables inside XML comments. .. _feature request [6]: https://sourceforge.net/p/docutils/feature-requests/6 .. _list-table: ../ref/rst/directives.html#list-table * Generalize docinfo contents (bibliographic fields): remove specific fields, and have only a single generic "field"? * _`Line numbers` and "source" in system messages: - Add "source" and "line" keyword arguments to all Reporter calls? This would require passing source/line arguments along all intermediate functions (where currently only `line` is used). Or rather specify "line" only if actually needed? Currently, `document.reporter` uses a state machine instance to determine the "source" and "line" info from `statemachine.input_lines` if not given explicitly. Except for special cases, the "line" argument is not needed because, `document.statemachine` keeps record of the current line number. - For system messages generated after the parsing is completed (i.e. by transforms or the writer) "line" info must be present in the doctree elements. Elements' .line assignments should be checked. (Assign to .source too? Add a set_info method? To what?) The "source" (and line number in the source) can either be added explicitly to the elements or determined from the “raw†line number by `document.statemachine.get_source_and_line`. - Some line numbers in elements are not being set properly (explicitly), just implicitly/automatically. See rev. 1.74 of docutils/parsers/rst/states.py for an example of how to set. - The line numbers of definition list items are wrong:: $ rst2pseudoxml.py --expose-internal-attribute line 1 2 3 5 6 7 1 2 3 5 6 7 * .. _none source: Quite a few nodes are getting a "None" source attribute as well. In particular, see the bodies of definition lists. Adaptable file extensions ------------------------- Questions ````````` Should Docutils support adaptable file extensions in hyperlinks? In the rST source, sister documents are ".txt" files. If we're generating HTML, then ".html" is appropriate; if PDF, then ".pdf"; etc. Handle documents only, or objects (images, etc.) also? Different output formats support different sets of image formats (HTML supports ".svg" but not ".pdf", pdfLaTeX supports ".pdf" but not ".svg", LaTeX supports only ".eps"). This is less urgent 2020 than 2004, as `pdflatex` and `lualatex` are now standard and support most image formats. Also, a wrapper like `rubber`__ that provides on-the-fly image conversion depends on the "wrong" extension in the LaTeX source. __ https://pypi.org/project/rubber/ At what point should the extensions be substituted? Transforms_: Fits well in the `Reader → Transformer → Writer`__ processing framework. * Filename/URL extension replacement can be done walking over the Document tree transforming the document tree from a valid state to another valid state. * Writer-specific configuration is still possible in the respective sections of the configuration_ file. __ ../peps/pep-0258.html#id24 Pre- or post-processing: Can be implemented independent of Docutils -- keeps Docutils simple. ... those who need more sophisticated filename extension tweaking can simply use regular expressions, which isn't too difficult due to the determinability of the writers. So there is no need to add a complex filename-extension-handling feature to Docutils. --- `Lea Wiemann in docutils-users 2004-06-04`__ __ https://sourceforge.net/p/docutils/mailman/message/6918089/ Proposals ````````` How about using ".*" to indicate "choose the most appropriate filename extension"? For example:: .. _Another Document: another.* * My point about using ``.*`` is that any other mechanism inside reST leads to too many ambiguities in reading reST documents; at least with ``.*`` it's clear that some kind of substitution is going on. --- Aahz * What is to be done for output formats that don't *have* hyperlinks? For example, LaTeX targeted at print. Hyperlinks may be "called out", as footnotes with explicit URLs. (Don't convert the links.) But then there's also LaTeX targeted at PDFs, which *can* have links. Perhaps a runtime setting for "*" could explicitly provide the extension, defaulting to the output file's extension. * If this handles images also, how to differentiate between document and image links? Element context (within "image")? Which image extension to use for which document format? For HTML output, there is no reliable way of determining which extension to use (svg, png, jpg, jpeg, gif, ...). Should the system check for existing files? No, not practical (the image files may be not available when the document is processed to HTML). Mailing list threads: `Images in both HTML and LaTeX`__ (especially `this summary of Lea's objections`__). __ https://sourceforge.net/p/docutils/mailman/docutils-users/thread/40BAA4B7.5020801%40python.org/#msg6918066 __ https://sourceforge.net/p/docutils/mailman/message/6918089/ Chris Liechti suggests a new ``:link:`` role in `more-universal links?`__:: .. role:: link(rewrite) :transform: .txt|.html and then to use it:: for more information see :link:`README.txt` it would be useful if it supported an additional option ``:format: html`` so that separate rules for each format can be defined. (like the "raw" role) __ https://sourceforge.net/p/docutils/mailman/message/6919484/ Idea from Jim Fulton: an external lookup table of targets: I would like to specify the extension (e.g. .txt) [in the source, rather than ``filename.*``], but tell the converter to change references to the files anticipating that the files will be converted too. For example:: .. _Another Document: another.txt rst2html.py --convert-links "another.txt bar.txt" foo.txt That is, name the files for which extensions should be converted. Note that I want to refer to original files in the original text (another.txt rather than another.*) because I want the unconverted text to stand on its own. Note that in most cases, people will be able to use globs:: rst2html.py --convert-link-extensions-for "`echo *.txt`" foo.txt It might be nice to be able to use multiple arguments, as in:: rst2html.py --convert-link-extensions-for *.txt -- foo.txt > Handle documents only, or objects (images, etc.) also? No, documents only, but there really is no need for guesswork. Just get the file names as command-line arguments. EIBTI [explicit is better than implicit]. In `Patch #169`__ `Hyperlink extension rewriting`, John L. Clark suggests command line options that map to-be-changed file extensions, e.g.:: rst2html --map-extension rst html --map-extension jpg png \ input-filename.rst __ https://sourceforge.net/p/docutils/patches/169/ Specifying the mapping as regular expressions would make this approach more generic and easier to implement (use ``re.replace`` and refer to the "re" module's documentation instead of coding and documenting a home-grown extraction and mapping procedure). Math Markup ----------- Since Docutils 0.8, a "math" role and directive using LaTeX math syntax as input format is part of reStructuredText. Open issues: * Use a "Transform" for math format conversions as extensively discussed in the "math directive issues" thread in May 2008 (http://osdir.com/ml/text.docutils.devel/2008-05/threads.html)? * Generic `math-output setting`_ (currently specific to HTML). (List of math-output preferences?) * Try to be compatible with `Math support in Sphinx`_? * The ``:label:`` option selects a label for the equation, by which it can be cross-referenced, and causes an equation number to be issued. In Docutils, the option ``:name:`` sets the label. Equation numbering is not implemented yet. * Option ``:nowrap:`` prevents wrapping of the given math in a math environment (you have to specify the math environment in the content). .. _Math support in Sphinx: http://sphinx.pocoo.org/ext/math.html * Equation numbering and references. (see the section on `object numbering and object references` for equations, formal tables, and images.) .. _math-output setting: ../user/config.html#math-output alternative input formats ````````````````````````` Use a directive option to specify an alternative input format, e.g. (but not limited to): MathML_ Not for hand-written code but maybe useful when pasted in (or included from a file) For an overview of MathML implementations and tests, see, e.g., the `mathweb wiki`_ or the `ConTeXT MathML page`_. .. _MathML: https://www.w3.org/TR/MathML2/ .. _mathweb wiki: http://www.mathweb.org/wiki/MathML .. _ConTeXT MathML page: http://wiki.contextgarden.net/MathML A MathML to LaTeX XSLT sheet: https://github.com/davidcarlisle/web-xslt/tree/master/pmml2tex ASCIIMath_ Simple, ASCII based math input language (see also `ASCIIMath tutorial`_). * The Python module ASCIIMathML_ translates a string with ASCIIMath into a MathML tree. Used, e.g., by MultiMarkdown__. A more comprehensive implementation is ASCIIMathPython_ by Paul Trembley (also used in his sandbox projects). * For conversion to LaTeX, there is - a JavaScript script at http://dlippman.imathas.com/asciimathtex/ASCIIMath2TeX.js - The javascript `asciimath-to-latex` AsciiMath to LaTex converter at the node package manager https://www.npmjs.com/package/asciimath-to-latex and at GitHub https://github.com/tylerlong/asciimath-to-latex - a javascript and a PHP converter script at GitHub https://github.com/asciimath/asciimathml/tree/master/asciimath-based .. _ASCIIMath: http://www1.chapman.edu/~jipsen/mathml/asciimath.html .. _ASCIIMath tutorial: http://www.wjagray.co.uk/maths/ASCIIMathTutorial.html .. _ASCIIMathML: http://pypi.python.org/pypi/asciimathml/ .. _ASCIIMathPython: https://github.com/paulhtremblay/asciimathml __ http://fletcherpenney.net/multimarkdown/ `Unicode Nearly Plain Text Encoding of Mathematics`_ format for lightly marked-up representation of mathematical expressions in Unicode. (Unicode Technical Note. Sole responsibility for its contents rests with the author(s). Publication does not imply any endorsement by the Unicode Consortium.) .. _Unicode Nearly Plain Text Encoding of Mathematics: https://www.unicode.org/notes/tn28/ itex See `the culmination of a relevant discussion in 2003 `__. LaTeX output ```````````` Which equation environments should be supported by the math directive? * one line: + numbered: `equation` + unnumbered: `equation*` * multiline (test for ``\\`` outside of a nested environment (e.g. `array` or `cases`) + numbered: `align` (number every line) (To give one common number to all lines, put them in a `split` environment. Docutils then places it in an `equation` environment.) + unnumbered: `align*` + Sphinx math also supports `gather` (checking for blank lines in the content). Docutils puts content blocks separated by blank lines in separate math-block doctree nodes. (The only difference of `gather` to two consecutive "normal" environments seems to be that page-breaks between the two are prevented.) See http://www.math.uiuc.edu/~hildebr/tex/displays.html. HTML output ``````````` There is no native math support in HTML. For supported math output variants see the `math-output setting`_. Add more/better alternatives? MathML_ Converters from LaTeX to MathML include * TtM_ (C), ``--math-output=MathML ttm``, undocumented, may be removed. No "matrix", "align" and "cases" environments. * MathToWeb_ (Java) * TeX4ht_ (TeX based) * itex_ (also `used in Abiword`__) * `Steve’s LATEX-to-MathML translator`_ ('mini-language', javascript, Python) * `MathJax for Node`_ * Write a new converter? E.g. based on: * a generic tokenizer (see e.g. a `latex-codec recipe`_, `updated latex-codec`_, ) * the Unicode-Char <-> LaTeX mappings database unimathsymbols_ __ http://msevior.livejournal.com/26377.html .. _MathML: https://www.w3.org/TR/MathML2/ .. _ttm: http://hutchinson.belmont.ma.us/tth/mml/ .. _TeX4ht: http://www.tug.org/applications/tex4ht/mn.html .. _MathToWeb: http://www.mathtoweb.com/ .. _itex: http://golem.ph.utexas.edu/~distler/blog/itex2MMLcommands.html .. _Steve’s LATEX-to-MathML translator: http://www.gold-saucer.org/mathml/greasemonkey/dist/display-latex .. _latex-codec recipe: http://code.activestate.com/recipes/252124-latex-codec/ .. _updated latex-codec: http://mirror.ctan.org/biblio/bibtex/utils/mab2bib/latex.py .. _unimathsymbols: http://milde.users.sourceforge.net/LUCR/Math/ .. _MathJax for Node: https://github.com/mathjax/MathJax-node .. URL seems down: .. _itex: http://pear.math.pitt.edu/mathzilla/itex2mmlItex.html HTML/CSS format math in standard HTML enhanced by CSS rules (Overview__, `Examples and experiments`__). The ``math-output=html`` option uses the converter from eLyXer_ (included with Docutils). Alternatives: LaTeX-math to HTML/CSS converters include * TtH_ (C) * Hevea_ (Objective Caml) * `MathJax for Node`_ * KaTeX_ __ http://www.cs.tut.fi/~jkorpela/math/ __ http://www.zipcon.net/~swhite/docs/math/math.html .. _elyxer: http://elyxer.nongnu.org/ .. _TtH: ttp://hutchinson.belmont.ma.us/tth/index.html .. _Hevea: http://para.inria.fr/~maranget/hevea/ .. _KaTeX: https://katex.org images (PNG or SVG) like e.g. Wikipedia. * dvisvgm_ * the pure-python MathML->SVG converter SVGMath_) * `MathJax for Node`_ .. _dvisvgm: http://dvisvgm.sourceforge.net/ .. _SVGMath: http://www.grigoriev.ru/svgmath/ client side JavaScript conversion Use TeX notation in the web page and JavaScript in the displaying browser. (implemented as `math-output setting`_ "mathjax"). * jqMath_ (faster and lighter than MathJax_) .. _MathJax: http://www.mathjax.org/ .. _jqMath: http://mathscribe.com/author/jqmath.html OpenOffice output ````````````````` * The `OpenDocument standard`_ version 1.1 says: Mathematical content is represented by MathML 2.0 However, putting MathML into an ODP file seems tricky as these (maybe outdated) links suppose: http://idippedut.dk/post/2008/01/25/Do-your-math-ODF-and-MathML.aspx http://idippedut.dk/post/2008/03/03/Now-I-get-it-ODF-and-MathML.aspx .. _OpenDocument standard: http://www.oasis-open.org/standards#opendocumentv1.1 * OOoLaTeX__: "a set of macros designed to bring the power of LaTeX into OpenOffice." __ http://ooolatex.sourceforge.net/ Directives ---------- Directives below are often referred to as "module.directive", the directive function. The "module." is not part of the directive name when used in a document. * Allow for field lists in list tables. See . * .. _unify tables: Unify table implementations and unify options of table directives (http://article.gmane.org/gmane.text.docutils.user/1857). * Allow directives to be added at run-time? * Use the language module for directive option names? * Add "substitution_only" and "substitution_ok" function attributes, and automate context checking? * Implement options or features on existing directives: - All directives that produce titled elements should grow implicit reference names based on the titles. - Allow the _`:trim:` option for all directives when they occur in a substitution definition, not only the unicode_ directive. .. _unicode: ../ref/rst/directives.html#unicode-character-codes - Add the "class" option to the unicode_ directive. For example, you might want to get characters or strings with borders around them. - _`images.figure`: "title" and "number", to indicate a formal figure? - _`parts.sectnum`: "local"?, "refnum" A "local" option could enable numbering for sections from a certain point down, and sections in the rest of the document are not numbered. For example, a reference section of a manual might be numbered, but not the rest. OTOH, an all-or-nothing approach would probably be enough. The "sectnum" directive should be usable multiple times in a single document. For example, in a long document with "chapter" and "appendix" sections, there could be a second "sectnum" before the first appendix, changing the sequence used (from 1,2,3... to A,B,C...). This is where the "local" concept comes in. This part of the implementation can be left for later. A "refnum" option (better name?) would insert reference names (targets) consisting of the reference number. Then a URL could be of the form ``http://host/document.html#2.5`` (or "2-5"?). Allow internal references by number? Allow name-based *and* number-based ids at the same time, or only one or the other (which would the table of contents use)? Usage issue: altering the section structure of a document could render hyperlinks invalid. - _`parts.contents`: Add a "suppress" or "prune" option? It would suppress contents display for sections in a branch from that point down. Or a new directive, like "prune-contents"? Add an option to include topics in the TOC? Another for sidebars? The "topic" directive could have a "contents" option, or the "contents" directive" could have an "include-topics" option. See docutils-develop 2003-01-29. - _`parts.header` & _`parts.footer`: Support multiple, named headers & footers? For example, separate headers & footers for odd, even, and the first page of a document. This may be too specific to output formats which have a notion of "pages". - _`misc.class`: - Add a ``:parent:`` option for setting the parent's class (http://article.gmane.org/gmane.text.docutils.devel/3165). - _`misc.include`: - Option to label lines? - How about an environment variable, say RSTINCLUDEPATH or RSTPATH, for standard includes (as in ``.. include:: ``)? This could be combined with a setting/option to allow user-defined include directories. - Add support for inclusion by URL? :: .. include:: :url: https://www.example.org/inclusion.txt - Strip blank lines from begin and end of a literal included file or file section. This would correspond to the way a literal block is handled. As nodes.literal_block expects (and we have) the text as a string (rather than a list of lines), using a regexp seems the way. - _`misc.raw`: add a "destination" option to the "raw" directive? :: .. raw:: html :destination: head It needs thought & discussion though, to come up with a consistent set of destination labels and consistent behavior. And placing HTML code inside the element of an HTML document is rather the job of a templating system. - _`body.sidebar`: Allow internal section structure? Adornment styles would be independent of the main document. That is really complicated, however, and the document model greatly benefits from its simplicity. * Implement directives. Each of the list items below begins with an identifier of the form, "module_name.directive_function_name". The directive name itself could be the same as the directive_function_name, or it could differ. - _`html.imagemap` It has the disadvantage that it's only easily implementable for HTML, so it's specific to one output format. (For non-HTML writers, the imagemap would have to be replaced with the image only.) - _`parts.endnotes` (or "footnotes"): See `Footnote & Citation Gathering`_. - _`parts.citations`: See `Footnote & Citation Gathering`_. - _`misc.language`: Specify (= change) the language of a document at parse time? * The misc.settings_ directive suggested below offers a more generic approach. * The language of document parts can be indicated by the "special class value" ``"language-"`` + `BCP 47`_ language code. Class arguments to the title are attached to the document's base node - hence titled documents can be given a different language at parse time. However, "language by class attribute" does not change parsing (localized directives etc.), only supporting writers. .. _BCP 47: https://www.rfc-editor.org/rfc/bcp/bcp47.txt - _`misc.settings`: Set any(?) Docutils runtime setting from within a document? Needs much thought and discussion. Security concerns need to be taken into account (it shouldn't be possible to enable ``file_insertion_enabled`` from within a document), and settings that only would have taken effect before the directive (like ``tab-width``) shouldn't be accessible either. See this sub-thread: - _`misc.gather`: Gather (move, or copy) all instances of a specific element. A generalization of the `Footnote & Citation Gathering`_ ideas. - Add a custom "directive" directive, equivalent to "role"? For example:: .. directive:: incr .. class:: incremental .. incr:: "``.. incr::``" above is equivalent to "``.. class:: incremental``". Another example:: .. directive:: printed-links .. topic:: Links :class: print-block .. target-notes:: :class: print-inline This acts like macros. The directive contents will have to be evaluated when referenced, not when defined. * Needs a better name? "Macro", "substitution"? * What to do with directive arguments & options when the macro/directive is referenced? - Make the meaning of block quotes overridable? Only a 1-shot though; doesn't solve the general problem. - _`conditional directives`: .. note:: See also the implementation in Sphinx_. Docutils already has the ability to say "use this content for Writer X" via the "raw" directive. It also does have the ability to say "use this content for any Writer other than X" via the "strip-elements with class" config value. However, using "raw" input just to select a special writer is inconvenient in many cases. It wouldn't be difficult to get more straightforward support, though. My first idea would be to add a set of conditional directives. Let's call them "writer-is" and "writer-is-not" for discussion purposes (don't worry about implementation details). We might have:: .. writer-is:: text-only :: +----------+ | SNMP | +----------+ | UDP | +----------+ | IP | +----------+ | Ethernet | +----------+ .. writer-is:: pdf .. figure:: protocol_stack.eps .. writer-is-not:: text-only pdf .. figure:: protocol_stack.png This could be an interface to the Filter transform (docutils.transforms.components.Filter). The ideas in the `adaptable file extensions`_ section above may also be applicable here. SVG's "switch" statement may provide inspiration. Here's an example of a directive that could produce multiple outputs (*both* raw troff pass-through *and* a GIF, for example) and allow the Writer to select. :: .. eqn:: .EQ delim %% .EN %sum from i=o to inf c sup i~=~lim from {m -> inf} sum from i=0 to m sup i% .EQ delim off .EN - _`body.example`: Examples; suggested by Simon Hefti. Semantics as per Docbook's "example"; admonition-style, numbered, reference, with a caption/title. - _`body.index`: Index targets. See `Index Entries & Indexes <./rst/alternatives.html#index-entries-indexes>`__. - _`body.literal`: Literal block, possibly "formal" (see `object numbering and object references`_ above). Possible options: - "highlight" a range of lines - include only a specified range of lines - "number" or "line-numbers"? (since 0.9 available with "code" directive) - "styled" could indicate that the directive should check for style comments at the end of lines to indicate styling or markup. Specific derivatives (i.e., a "python-interactive" directive) could interpret style based on cues, like the ">>> " prompt and "input()"/"raw_input()" calls. See docutils-users 2003-03-03. - _`body.listing`: Code listing with title (to be numbered eventually), equivalent of "figure" and "table" directives. - _`pysource.usage`: Extract a usage message from the program, either by running it at the command line with a ``--help`` option or through an exposed API. [Suggestion for Optik.] - _`body.float`: Generic float that can be used for figures, tables, code listings, flowcharts, ... There is a Sphinx extension by Ignacio Fernández Galván I implemented something for generic floats in sphinx, and submitted a pull request that is still waiting:: .. float:: :type: figure :caption: My caption https://github.com/sphinx-doc/sphinx/pull/1858 Interpreted Text ---------------- Interpreted text is entirely a reStructuredText markup construct, a way to get around built-in limitations of the medium. Some roles are intended to introduce new doctree elements, such as "title-reference". Others are merely convenience features, like "RFC". All supported interpreted text roles must already be known to the Parser when they are encountered in a document. Whether pre-defined in core/client code, or in the document, doesn't matter; the roles just need to have already been declared. Adding a new role may involve adding a new element to the DTD and may require extensive support, therefore such additions should be well thought-out. There should be a limited number of roles. The only place where no limit is placed on variation is at the start, at the Reader/Parser interface. Transforms are inserted by the Reader into the Transformer's queue, where non-standard elements are converted. Once past the Transformer, no variation from the standard Docutils doctree is possible. An example is the Python Source Reader, which will use interpreted text extensively. The default role will be "Python identifier", which will be further interpreted by namespace context into , , , , etc. elements (see pysource.dtd), which will be transformed into standard hyperlink references, which will be processed by the various Writers. No Writer will need to have any knowledge of the Python-Reader origin of these elements. * Add explicit interpreted text roles for the rest of the implicit inline markup constructs: named-reference, anonymous-reference, footnote-reference, citation-reference, substitution-reference, target, uri-reference (& synonyms). * Add directives for each role as well? This would allow indirect nested markup:: This text contains |nested inline markup|. .. |nested inline markup| emphasis:: nested ``inline`` markup * Implement roles: - "_`raw-wrapped`" (or "_`raw-wrap`"): Base role to wrap raw text around role contents. For example, the following reStructuredText source ... :: .. role:: red(raw-formatting) :prefix: :html: :latex: {\color{red} :suffix: :html: :latex: } colored :red:`text` ... will yield the following document fragment:: colored {\color{red} text } Possibly without the intermediate "inline" node. - _`"acronym" and "abbreviation"`: Associate the full text with a short form. Jason Diamond's description: I want to translate ```reST`:acronym:`` into ``reST``. The value of the title attribute has to be defined out-of-band since you can't parameterize interpreted text. Right now I have them in a separate file but I'm experimenting with creating a directive that will use some form of reST syntax to let you define them. Should Docutils complain about undefined acronyms or abbreviations? What to do if there are multiple definitions? How to differentiate between CSS (Content Scrambling System) and CSS (Cascading Style Sheets) in a single document? David Priest responds, The short answer is: you don't. Anyone who did such a thing would be writing very poor documentation indeed. (Though I note that `somewhere else in the docs`__, there's mention of allowing replacement text to be associated with the abbreviation. That takes care of the duplicate acronyms/abbreviations problem, though a writer would be foolish to ever need it.) __ `inline parameter syntax`_ How to define the full text? Possibilities: 1. With a directive and a definition list? :: .. acronyms:: reST reStructuredText DPS Docstring Processing System Would this list remain in the document as a glossary, or would it simply build an internal lookup table? A "glossary" directive could be used to make the intention clear. Acronyms/abbreviations and glossaries could work together. Then again, a glossary could be formed by gathering individual definitions from around the document. 2. Some kind of `inline parameter syntax`_? :: `reST `:acronym: is `WYSIWYG `:acronym: plaintext markup. .. _inline parameter syntax: rst/alternatives.html#parameterized-interpreted-text 3. A combination of 1 & 2? The multiple definitions issue could be handled by establishing rules of priority. For example, directive-based lookup tables have highest priority, followed by the first inline definition. Multiple definitions in directive-based lookup tables would trigger warnings, similar to the rules of `implicit hyperlink targets`__. __ ../ref/rst/restructuredtext.html#implicit-hyperlink-targets 4. Using substitutions? :: .. |reST| acronym:: reST :text: reStructuredText What do we do for other formats than HTML which do not support tool tips? Put the full text in parentheses? - "figure", "table", "listing", "chapter", "page", etc: See `object numbering and object references`_ above. - "glossary-term": This would establish a link to a glossary. It would require an associated "glossary-entry" directive, whose contents could be a definition list:: .. glossary-entry:: term1 definition1 term2 definition2 This would allow entries to be defined anywhere in the document, and collected (via a "glossary" directive perhaps) at one point. Doctree pruning --------------- [DG 2017-01-02: These are not definitive to-dos, just one developer's opinion. Added 2009-10-13 by Günter Milde, in r6178.] [Updated by GM 2017-02-04] The number of doctree nodes can be reduced by "normalizing" some related nodes. This makes the document model and the writers somewhat simpler. * The "doctest" element can be replaced by literal blocks with a class attribute (similar to the "code" directive output). The syntax shall be left in reST. [DG 2017-01-02:] +0. Discussion The syntax could be left in reST (for a set period of time?). [DG 2017-01-02:] The syntax must be left in reST, practically forever. Removing it would introduce a huge backwards incompatibility. Any syntax removal must be preceded by a thorough review and planning, including a deprecation warning process. My opinion: it's not worth it. * "Normalize" special admonitions (note, hint, warning, ...) during parsing (similar to _`transforms.writer_aux.Admonitions`). There is no need to keep them as distinct elements in the doctree specification. [DG 2017-01-02:] -1: {body} is much more concise and expressive than Note</>{body}</>, and the title translation can be put off until much later in the process. [GM 2017-02-04]: -0 for <admonition class=note><title>Note</>... instead of <note>: a document is rarely printed/used as doctree or XML. +1 reduce the complexity of the doctree (there is no 1:1 rST syntax element <-> doctree node mapping anyway). +2 every writer needs 9 visit_*/depart_* method pairs to handle the 9 subtypes of an admonition, i.e. we could but also remove 36 redundant methods (HTML, LaTeX, Manpage, ODF). -1 the most unfortunately named of these directives will survive. [#]_ .. [#] with "biblical touch" and hard to translate: :admonition: | Ermahnung; Verweis; Warnung; Rüge | (exhortation; censure; warning; reprimand, rebuke) Keep the special admonition directives in reStructuredText syntax. [DG 2017-01-02:] We must definitely keep the syntax. Removing it would introduce a huge backwards incompatibility. Unimplemented Transforms ======================== * _`Footnote & Citation Gathering` Collect and move footnotes & citations to the end of a document or the place of a "footnotes" or "citations" directive (see `<./ref/rst/directives.html>_`) Footnotes: Collect all footnotes that are referenced in the document before the directive (and after an eventually preceding ``.. footnotes::`` directive) and insert at this place. Allows "endnotes" at a configurable place. Citations: Collect citations that are referenced ... Citations can be: a) defined in the document as citation elements b) auto-generated from entries in a bibliographic database. + based on bibstuff_? + also have a look at * CrossTeX_, a backwards-compatible, improved bibtex re-implementation in Python (including HTML export). (development stalled since 2 years) * Pybtex_,a drop-in replacement for BibTeX written in Python. * BibTeX styles & (experimental) pythonic style API. * Database in BibTeX, BibTeXML and YAML formats. * full Unicode support. * Write to TeX, HTML and plain text. * `Zotero plain <http://e6h.org/%7Eegh/hg/zotero-plain/>`__ supports Zotero databases and CSL_ styles with Docutils with an ``xcite`` role. * `sphinxcontrib-bibtex`_ Sphinx extension with "bibliography" directive and "cite" role supporting BibTeX databases. * `Modified rst2html <http://www.loria.fr/~rougier/coding/article/rst2html.py>`__ by Nicolas Rougier. * Automatically insert a "References" heading? .. _CrossTeX: http://www.cs.cornell.edu/people/egs/crosstex/ .. _Pybtex: http://pybtex.sourceforge.net/ .. _CSL: http://www.citationstyles.org/ .. _sphinxcontrib-bibtex: http://sphinxcontrib-bibtex.readthedocs.org/ * _`Reference Merging` When merging two or more subdocuments (such as docstrings), conflicting references may need to be resolved. There may be: * duplicate reference and/or substitution names that need to be made unique; and/or * duplicate footnote numbers that need to be renumbered. Should this be done before or after reference-resolving transforms are applied? What about references from within one subdocument to inside another? * _`Document Splitting` If the processed document is written to multiple files (possibly in a directory tree), it will need to be split up. Internal references will have to be adjusted. (HTML only? Initially, yes. Eventually, anything should be splittable.) Ideas: - Insert a "destination" attribute into the root element of each split-out document, containing the path/filename. The Output object or Writer will recognize this attribute and split out the files accordingly. Must allow for common headers & footers, prev/next, breadcrumbs, etc. - Transform a single-root document into a document containing multiple subdocuments, recursively. The content model of the "document" element would have to change to:: <!ELEMENT document ( (title, subtitle?)?, decoration?, (docinfo, transition?)?, %structure.model;, document* )> (I.e., add the last line -- 0 or more document elements.) Let's look at the case of hierarchical (directories and files) HTML output. Each document element containing further document elements would correspond to a directory (with an index.html file for the content preceding the subdocuments). Each document element containing no subdocuments (i.e., structure model elements only) corresponds to a concrete file with no directory. The natural transform would be to map sections to subdocuments, but possibly only a given number of levels deep. * _`Navigation` If a document is split up, each segment will need navigation links: parent, children (small TOC), previous (preorder), next (preorder). Part of `Document Splitting`_? * _`List of System Messages` The ``system_message`` elements are inserted into the document tree, adjacent to the problems themselves where possible. Some (those generated post-parse) are kept until later, in ``document.messages``, and added as a special final section, "Docutils System Messages". Docutils could be made to generate hyperlinks to all known system_messages and add them to the document, perhaps to the end of the "Docutils System Messages" section. Fred L. Drake, Jr. wrote: I'd like to propose that both parse- and transformation-time messages are included in the "Docutils System Messages" section. If there are no objections, I can make the change. The advantage of the current way of doing things is that parse-time system messages don't require a transform; they're already in the document. This is valuable for testing (unit tests, tools/quicktest.py). So if we do decide to make a change, I think the insertion of parse-time system messages ought to remain as-is and the Messages transform ought to move all parse-time system messages (remove from their originally inserted positions, insert in System Messages section). * _`Index Generation` HTML Writer =========== * Make the _`list compacting` logic more generic: For example, allow for literal blocks or line blocks inside of compact list items. This is not implementable as long as list compacting is done by omitting ``<p>`` tags. List compacting would need to be done by adjusting CSS margins instead. :2015-04-02: The new html writer no longer strips <p> tags but adds the class value ``simple`` to the list. Formatting is done by CSS --- configurable by a custom style sheet. Auto-compactization can be overridden by the ``open`` vs. ``compact`` class arguments. * Idea for field-list rendering: hanging indent:: Field name (bold): First paragraph of field body begins with the field name inline. If the first item of a field body is not a paragraph, it would begin on the following line. :2015-04-02: The new html writer writes field-lists as definition lists with class ``field-list``. Formatting is done by CSS --- configurable by a custom style sheet. The default style sheet has some examples, including a run-in field-list style. * Add more support for <link> elements, especially for navigation bars. The framework does not have a notion of document relationships, so probably raw.destination_ should be used. We'll have framework support for document relationships when support for `multiple output files`_ is added. The HTML writer could automatically generate <link> elements then. .. _raw.destination: misc.raw_ * Base list compaction on the spacing of source list? Would require parser support. (Idea: fantasai, 16 Dec 2002, doc-sig.) * Add a tool tip ("title" attribute?) to footnote back-links identifying them as such. Text in Docutils language module. PEP/HTML Writer =============== * Remove the generic style information (duplicated from html4css1.css) from pep.css to avoid redundancy. Set ``stylesheet-path`` to "html4css.css,pep.css" and the ``stylesheet-dirs`` accordingly instead. (See the xhtml11 writer for an example.) S5/HTML Writer ============== * Add a way to begin an untitled slide. * Add a way to begin a new slide, continuation, using the same title as the previous slide? (Unnecessary?) You need that if you have a lot of items in one section which don't fit on one slide. Maybe either this item or the previous one can be realized using transitions. * Have a timeout on incremental items, so the colour goes away after 1 second. * Add an empty, black last slide (optionally). Currently the handling of the last slide is not very nice, it re-cycles through the incremental items on the last slide if you hit space-bar after the last item. * Add a command-line option to disable advance-on-click. * Add a speaker's master document, which would contain a small version of the slide text with speaker's notes interspersed. The master document could use ``target="whatever"`` to direct links to a separate window on a second monitor (e.g., a projector). .. Note:: This item and the following items are partially accomplished by the S5 1.2 code (currently in alpha), which has not yet been integrated into Docutils. * Speaker's notes -- how to intersperse? Could use reST comments (".."), but make them visible in the speaker's master document. If structure is necessary, we could use a "comment" directive (to avoid nonsensical DTD changes, the "comment" directive could produce an untitled topic element). The speaker's notes could (should?) be separate from S5's handout content. * The speaker's master document could use frames for easy navigation: TOC on the left, content on the right. - It would be nice if clicking in the TOC frame simultaneously linked to both the speaker's notes frame and to the slide window, synchronizing both. Needs JavaScript? - TOC would have to be tightly formatted -- minimal indentation. - TOC auto-generated, as in the PEP Reader. (What if there already is a "contents" directive in the document?) - There could be another frame on the left (top-left or bottom-left) containing a single "Next" link, always pointing to the next slide (synchronized, of course). Also "Previous" link? FF/Rew go to the beginning of the next/current parent section? First/Last also? Tape-player-style buttons like ``|<< << < > >> >>|``? Epub/HTML Writer ================ Add epub as an output format. epub is an open file format for ebooks based on HTML, specified by the `International Digital Publishing Forum`_. Thus, documents in epub format are suited to be read with `electronic reading devices`_. Pack the output of a HTML writer and supporting files (e.g. images) into one single epub document. There are `links to two 3rd party ePub writers`__ in the Docutils link list. Test and consider moving the better one into the docutils core. __ ../user/links.html#ePub .. _International Digital Publishing Forum: http://www.idpf.org/ .. _electronic reading devices: https://en.wikipedia.org/wiki/List_of_e-book_readers LaTeX writer ============ Also see the Problems__ section in the `latex writer documentation`_. __ ../user/latex.html#problems .. _latex writer documentation: ../user/latex.html .. _latex-variants: ../../../sandbox/latex-variants/README.html Bug fixes --------- * Too deeply nested lists fail: generate a warning and provide a workaround. 2017-02-09 this is fixed for enumeration in 0.13.1 for others, cf. sandbox/latex-variants/tests/rst-levels.txt * File names of included graphics (see also `grffile` package). * Paragraph following field-list or table in compound is indented. This is a problem with the current DUfieldlist definition and with the use of "longtable" for tables. See `other LaTeX constructs and packages instead of re-implementations`_ for alternatives. Generate clean and configurable LaTeX source ---------------------------------------------- Which packages do we want to use? + base and "recommended" packages (packages that should be in a "reasonably sized and reasonably modern LaTeX installation like the `texlive-latex-recommended` Debian package, say): + No "fancy" or "exotic" requirements. + pointers to advanced packages and their use in the `latex writer documentation`_. Configurable placement of figure and table floats ````````````````````````````````````````````````` * Special class argument to individually place figures? Example:: .. figure:: foo.pdf :class: place-here-if-possible place-top place-bottom would be written as ``\figure[htb]{...}`` with the optional args: :H: place-here :h: place-here-if-possible :t: place-top :b: place-bottom :p: place-on-extra-page Alternative: class value = "place-" + optional arg, e.g. ``:class: place-htb``. Footnotes ````````` + True footnotes with LaTeX auto-numbering (as option ``--latex-footnotes``) (also for target-footnotes): Write ``\footnote{<footnote content>}`` at the place of the ``<footnote_reference>`` node. + Open questions: - Load hyperref_ with option "hyperfootnotes" and/or package footnotebackref_ or leave this to the user? - Consider cases where LaTeX does not support footnotes (inside tables__, headings__, caption, ...). Use ftnxtra_, tabularx_, tabulary_, longtable_? __ http://www.tex.ac.uk/cgi-bin/texfaq2html?label=footintab __ http://www.tex.ac.uk/cgi-bin/texfaq2html?label=ftnsect - Consider `multiple footnote refs to common footnote text`__. KOMA-script classes and the KOMA scrextend_ package provide ``\footref`` that can be used for additional references to a ``\label``-ed footnote. Since 2021-05-01, ``\footref`` is provided by the LaTeX core, too. __ http://www.tex.ac.uk/cgi-bin/texfaq2html?label=multfoot - Consider numbered vs. symbolic footnotes. + document customization (links to how-to and packages) .. Footnote packages at CTAN (www.ctan.org/pkg/<packagename>): :footnote: provides a "savenotes" environment which collects all footnotes and emits them at ``end{savenotes}`` (texlive-latex-recommended) :ftnxtra_: fixes the issue of footnote inside \caption{}, tabular environment and \section{} like commands. :footnotebackref_: bidirectional links to/from footnote mark to footnote text. .. Footnote Discussion: `German tutorial <http://www2.informatik.hu-berlin.de/~ahamann/studies/footnotes.pdf>`__ `wikibooks: footnote workarounds <https://en.wikibooks.org/wiki/LaTeX/Footnotes_and_Margin_Notes#Common_problems_and_workarounds>`__ .. _footnotebackref: https://www.ctan.org/pkg/footnotebackref .. _ftnxtra: https://www.ctan.org/pkg/ftnxtra .. _hyperref: https://www.ctan.org/pkg/hyperref .. _longtable: https://www.ctan.org/pkg/longtable .. _scrextend: https://www.ctan.org/pkg/longtable .. _tabularx: https://www.ctan.org/pkg/tabularx Other LaTeX constructs and packages instead of re-implementations ````````````````````````````````````````````````````````````````` * Check the generated source with package `nag`. * enumitem_ (texlive-latex-extra) for field-lists? .. _enumitem: https://www.ctan.org/pkg/enumitem Default layout -------------- * Use italic instead of slanted for titlereference? * Start a new paragraph after lists (as currently) or continue (no blank line in source, no parindent in output)? Overriding: * continue if the `compound paragraph`_ directive is used (as currently), or * force a new paragraph with an empty comment. * Sidebar handling (environment with `framed`, `marginnote`, `wrapfig`, ...)? * Use optionlist for docinfo? * Keep literal-blocks together on a page, avoid pagebreaks. Failed experiments up to now: samepage, minipage, pagebreak 1 to 4 before the block. Should be possible with ``--literal-block-env==lstlistings`` and some configuration... * More space between title and subtitle? :: - \\ % subtitle% + \\[0.5em] % subtitle% .. _compound paragraph: ../ref/rst/directives.html#compound-paragraph Tables `````` * Improve/simplify logic to set the column width in the output. + Assumed reST line length for table width setting configurable, or + use `ltxtable` (a combination of `tabularx` (auto-width) and `longtable` (page breaks)), or + use tabularx column type ``X`` and let LaTeX decide width, or + use tabulary_? .. _tabulary: https://www.ctan.org/pkg/tabulary * From comp.text.tex (13. 4. 2011): When using fixed width columns, you should ensure that the total width does not exceed \linewidth: if the first column is p{6cm} the second one should be p{\dimexpr\linewidth-6cm-4\tabcolsep} because the glue \tabcolsep is added twice at every column edge. You may also consider to set \tabcolsep to a different value... * csv-tables do not have a colwidth. * Add more classes or options, e.g. for + horizontal alignment and rules. + long table vs. tabular (see next item). * Use tabular instead of longtable for tables in legends or generally inside a float? Alternatively, default to tabular and use longtable only if specified by config setting or class argument (analogue to booktable)? * Table heads and footer for longtable (firstpage lastpage ..)? * In tools.txt the option tables right column, there should be some more spacing between the description and the next paragraph "Default:". * Paragraph separation in tables is hairy. see http://www.tex.ac.uk/cgi-bin/texfaq2html?label=struttab - The strut solution did not work. - setting extrarowheight added ad top of row not between paragraphs in a cell. ALTHOUGH i set it to 2pt because, text is too close to the topline. - baselineskip/stretch does not help. * Should there be two hlines after table head and on table end? * Place titled tables in a float ('table' environment)? The 'table', 'csv-table', and 'list-table' directives support an (optional) table title. In analogy to the 'figure' directive this should map to a table float. Image and figure directives ``````````````````````````` * compare the test case in: + `<../../test/functional/input/data/standard.txt>`__ + `<../../test/functional/expected/standalone_rst_html4css1.html>`__ + `<../../test/functional/expected/standalone_rst_latex.tex>`__ * The default CSS styling for HTML output (plain.css, default.css) lets text following a right- or left-aligned image float to the side of the image/figure. + Use this default also for LaTeX? + Wrap text around figures/images with class argument "wrap" (like the odt writer)? Use `wrapfig` (or other recommended) package. * support more graphic formats (especially SVG, the only standard vector format for HTML) Missing features ---------------- * support "figwidth" argument for figures. As the 'figwidth' argument is still ignored and the "natural width" of a figure in LaTeX is 100 % of the text width, setting the 'align' argument has currently no effect on the LaTeX output. * Multiple author entries in docinfo (same thing as in html). * Consider supporting the "compact" option and class argument (from rst2html) as some lists look better compact and others need the space. * Better citation support (see `Footnote & Citation Gathering`_). * If ``use-latex-citations`` is used, a bibliography is inserted right at the end of the document. Put in place of the to-be-implemented "citations" directive (see `Footnote & Citation Gathering`_). Unicode to LaTeX ```````````````` The `LyX <http://www.lyx.org>`_ document processor has a comprehensive Unicode to LaTeX conversion feature with a file called ``unicodesymbols`` that lists LaTeX counterparts for a wide range of Unicode characters. * Use this in the LaTeXTranslator? Think of copyright issues! * The "ucs" package has many translations in ...doc/latex/ucs/config/ * The bibstuff_ tool ships a `latex_codec` Python module! .. _bibstuff: http://code.google.com/p/bibstuff/ XeTeX writer ```````````` * Glyphs missing in the font are left out in the PDF without warning (e.g. ⇔ left-right double arrow in the functional test output). * Disable word-wrap (hyphenation) in literal text locally with ``providecommand{\nohyphenation}{\addfontfeatures{HyphenChar=None}}``? problematic URLs ```````````````` * ^^ LaTeX's special syntax for characters results in "strange" replacements (both with \href and \url). `file with ^^ <../strange^^name>`__: `<../strange^^name>`__ * Unbalanced braces, { or }, will fail (both with \href and \url):: `file with { <../strange{name>`__ `<../strange{name>`__ Currently, a warning is written to the error output stream. For correct printing, we can * use the \href command with "normal" escaped name argument, or * define a url-command in the preamble :: \urldef{\fragileURLi}\nolinkurl{myself%node@gateway.net} but need to find a way to insert it as href argument. The following fails:: \href{https://www.w3.org/XML/Schema^^dev}{\fragileURLi} Use %-replacement like http://nowhere/url_with%28parens%29 ? -> does not work for file paths (with pdflatex and xpdf). add-stylesheet option ````````````````````` From http://article.gmane.org/gmane.text.docutils.devel/3429/ The problem is that since we have a default value, we have to differentiate between adding another stylesheet and replacing the default. I suggest that the existing --stylesheet & --stylesheet-path options keep their semantics to replace the existing settings. We could introduce new --add-stylesheet & --add-stylesheet-path options, which accumulate; further --stylesheet/--stylesheet-path options would clear these lists. The stylesheet or stylesheet_path setting (only one may be set), plus the added_stylesheets and added_stylesheet_paths settings, describe the combined styles. For example, this run will have only one custom stylesheet: rstpep2html.py --stylesheet-path custom.css ... This run will use the default stylesheet, and the custom one: rstpep2html.py --add-stylesheet-path custom.css ... This run will use the default stylesheet, a custom local stylesheet, and an external stylesheet: rstpep2html.py --add-stylesheet-path custom.css \ --add-stylesheet https://www.example.org/external.css ... This run will use only the second custom stylesheet: rstpep2html.py --add-stylesheet-path custom.css \ --stylesheet-path second.css ... Front-End Tools =============== * Parameterize help text & defaults somehow? Perhaps a callback? Or initialize ``settings_spec`` in ``__init__`` or ``init_options``? * Disable common options that don't apply? (This should now be easier with ``frontend.filter_settings_spec``.) * Add ``--section-numbering`` command line option. The "sectnum" directive should override the ``--no-section-numbering`` command line option then. * Implement the following suggestions from clig.dev? Display output on success, but keep it brief. provide a --quiet option to suppress all non-essential output. Consider chaining several args as input and use --output (or redirection) for output. -- https://clig.dev/#help .. _partial parsing: https://docs.python.org/3/library/argparse.html#partial-parsing .. _configuration: ../user/config.html .. _transforms: ../api/transforms.html .. Local Variables: mode: indented-text indent-tabs-mode: nil sentence-end-double-space: t fill-column: 70 End: ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/dev/website.txt������0000664�0000000�0000000�00000006312�15141625651�0032605�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������=================== Docutils Web Site =================== :Author: David Goodger; open to all Docutils developers :Contact: docutils-develop@lists.sourceforge.net :Date: $Date$ :Revision: $Revision$ :Copyright: This document has been placed in the public domain. The Docutils web site, <https://docutils.sourceforge.io/>, is maintained by the ``docutils-update.local`` script, run by project maintainers on their local machines. The script will process any .txt file which is newer than the corresponding .html file in the local copy of the project's web directory and upload the changes to the web site at SourceForge. .. .. old instructions, for cron job: The Docutils web site, <https://docutils.sourceforge.io/>, is maintained automatically by the ``docutils-update`` script, run as an hourly cron job on shell.berlios.de (by user "wiemann"). The script will process any .txt file which is newer than the corresponding .html file in the project's web directory on shell.berlios.de (``/home/groups/docutils/htdocs/aux/htdocs/``) and upload the changes to the web site at SourceForge. Please **do not** add any generated .html files to the Docutils repository. They will be generated automatically after a one-time setup (`described below`__). __ `Adding .txt Files`_ The docutils-update.local__ script is located at ``sandbox/infrastructure/docutils-update.local``. __ https://docutils.sourceforge.io/sandbox/infrastructure/docutils-update.local If you want to share files via the web, you can upload them using the uploaddocutils.sh__ script (``sandbox/infrastructure/uploaddocutils.sh``). __ https://docutils.sourceforge.io/sandbox/infrastructure/uploaddocutils.sh Setting Up ========== (TBA) .. hint:: Anyone with checkin privileges can be a web-site maintainer. You need to set up the directories for a local website build. The procedure for that was on the docutils-devel list a while ago. Adding .txt Files ================= User/Contributor ---------------- When adding a new .txt file that should be converted to HTML: #. Edit sandbox/infrastructure/htmlfiles.lst, and add the .html file corresponding to the new .txt file (please keep the sorted order). #. Commit the edited version to the SVN repository. Maintainer ---------- #. If there are new directories in the SVN, allow the update script to run once to create the directories in the filesystem before preparing for HTML processing. #. Run the sandbox/infrastructure/update-htmlfiles shell script to generate .html files:: cd <DOCUTILS-ROOT>/docutils/ sandbox/infrastructure/update-htmlfiles \ sandbox/infrastructure/htmlfiles.lst (Maybe this should become part of docutils-update.local.) Removing Files & Directories ============================ #. Remove from SVN #. Remove to-be-generated HTML files from ``sandbox/infrastructure/htmlfiles.lst``. #. Removing files and directories from SVN will not trigger their removal from the web site. Files and directories must be manually removed from sourceforge.net (under ``/home/project-web/docutils/htdocs/``). .. Local Variables: mode: indented-text indent-tabs-mode: nil sentence-end-double-space: t fill-column: 70 End: ����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/howto/���������������0000775�0000000�0000000�00000000000�15141625651�0030762�5����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������cmdline-tool.txt������������������������������������������������������������������������������������0000664�0000000�0000000�00000004253�15141625651�0034036�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000�pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/howto�����������������������������������������������������������������������������������=============================================== Inside A Docutils Command-Line Front-End Tool =============================================== :Author: David Goodger :Contact: docutils-develop@lists.sourceforge.net :Date: $Date$ :Revision: $Revision$ :Copyright: This document has been placed in the public domain. `The Docutils Publisher`_ class was set up to make building command-line tools easy. All that's required is to choose components and supply settings for variations. Let's take a look at a typical command-line front-end tool, ``tools/rst2html.py``, from top to bottom. On Unixish systems, it's best to make the file executable (``chmod +x file``), and supply an interpreter on the first line, the "shebang" or "hash-bang" line:: #!/usr/bin/env python Windows systems can be set up to associate the Python interpreter with the ``.py`` extension. Next are some comments providing metadata:: # $Id$ # Author: David Goodger <goodger@python.org> # Copyright: This module has been placed in the public domain. The module docstring describes the purpose of the tool:: """ A minimal front end to the Docutils Publisher, producing HTML. """ This next block attempts to invoke locale support for internationalization services, specifically text encoding. It's not supported on all platforms though, so it's forgiving:: try: import locale locale.setlocale(locale.LC_ALL, '') except: pass The real work will be done by the code that's imported here:: from docutils.core import publish_cmdline, default_description We construct a description of the tool, for command-line help:: description = ('Generates (X)HTML documents from standalone ' 'reStructuredText sources. ' + default_description) Now we call the Publisher convenience function, which takes over. Most of its defaults are used ("standalone" Reader, "reStructuredText" Parser, etc.). The HTML Writer is chosen by name, and a description for command-line help is passed in:: publish_cmdline(writer_name='html', description=description) That's it! `The Docutils Publisher`_ takes care of the rest. .. _The Docutils Publisher: ./publisher.html �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������html-stylesheets.txt��������������������������������������������������������������������������������0000664�0000000�0000000�00000006531�15141625651�0034767�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000�pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/howto�����������������������������������������������������������������������������������============================================== Writing HTML (CSS) Stylesheets for Docutils_ ============================================== :Author: Lea Wiemann :Contact: docutils-develop@lists.sourceforge.net :Date: $Date$ :Revision: $Revision$ :Copyright: This document has been placed in the public domain. .. _Docutils: https://docutils.sourceforge.io/ The look of Docutils' HTML output is customizable via CSS stylesheets. The default stylesheets can be found in the ``docutils/writers/html*/`` directories of the ``html4css1`` and ``html-base`` writers in the Docutils installation. Use the front-end command (``rst2html.py`` or ``rst2html5.py``) with the ``--help`` option and look at the description of the ``--stylesheet-path`` command-line option for the exact machine-specific location. To customize the look of HTML documents, you can override the settings of the default stylesheet in your own stylesheet. Specify both, the default stylesheet and your stylesheet to the ``--stylesheet`` or ``--stylesheet-path`` command line option (or the corresponding settings in a configuration_ file), e.g. :: rst2html.py --stylesheet=html4css1.css,transition-stars.css This is the preferable approach if you want to embed the stylesheet(s), as this ensures that an up-to-date version of ``html4css1.css`` is embedded. Alternatively, copy the default style sheet to the same place as your output HTML files will go and place a new file (e.g. called ``my-docutils.css``) in the same directory and use the following template:: /* :Author: Your Name :Contact: Your Email Address :Copyright: This stylesheet has been placed in the public domain. Stylesheet for use with Docutils. [Optionally place a more detailed description here.] */ @import url(html4css1.css); /* Your customizations go here. For example: */ h1, h2, h3, h4, h5, h6, p.topic-title { font-family: sans-serif } For help on the CSS syntax, see, e.g., the `W3C Specification`_, the `WDG's guide to Cascading Style Sheets`__, or the `MDN Web Docs`__. .. _W3C Specification: https://www.w3.org/Style/CSS/#specs __ http://www.htmlhelp.com/reference/css/ __ https://developer.mozilla.org/en-US/docs/Web/CSS It is important that you do not edit a copy of ``html4css1.css`` directly because ``html4css1.css`` is frequently updated with each new release of Docutils. Also make sure that you import ``html4css1.css`` (using "``@import url(html4css1.css);``") because the definitions contained in the default stylesheet are required for correct rendering (margins, alignment, etc.). If you think your stylesheet is fancy and you would like to let others benefit from your efforts, you are encouraged to post the stylesheet to the Docutils-users_ mailing list. It might find its place in the `stylesheet collection`_ in the Docutils Sandbox_. If you decide to share your stylesheet with other users of Docutils, please keep website-specific customizations not applicable to Docutils' HTML code in a separate stylesheet. .. base for relative links is /docutils/docs/howto/ .. _Docutils-users: ../user/mailing-lists.html#docutils-users .. _configuration: ../user/config.txt .. _sandbox: ../../../sandbox .. _stylesheet collection: ../../../sandbox/stylesheets/ .. Local Variables: mode: indented-text indent-tabs-mode: nil sentence-end-double-space: t fill-column: 70 End: �����������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/howto/i18n.txt�������0000664�0000000�0000000�00000015325�15141625651�0032310�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������================================ Docutils_ Internationalization ================================ :Author: David Goodger :Contact: docutils-develop@lists.sourceforge.net :Date: $Date$ :Revision: $Revision$ :Copyright: This document has been placed in the public domain. .. contents:: This document describes the internationalization facilities of the Docutils_ project. `Introduction to i18n`_ by Tomohiro KUBOTA is a good general reference. "Internationalization" is often abbreviated as "i18n": "i" + 18 letters + "n". .. Note:: The i18n facilities of Docutils should be considered a "first draft". They work so far, but improvements are welcome. Specifically, standard i18n facilities like "gettext" have yet to be explored. Docutils is designed to work flexibly with text in multiple languages (one language at a time). Language-specific features are (or should be [#]_) fully parameterized. To enable a new language, two modules have to be added to the project: one for Docutils itself (the `Docutils Language Module`_) and one for the reStructuredText parser (the `reStructuredText Language Module`_). Users may add local language support via a module in the PYTHONPATH root (e.g. the working directory). .. [#] If anything in Docutils is insufficiently parameterized, it should be considered a bug. Please report bugs to the Docutils project bug tracker on SourceForge at https://sourceforge.net/p/docutils/bugs/ .. _Docutils: https://docutils.sourceforge.io/ .. _Introduction to i18n: http://www.debian.org/doc/manuals/intro-i18n/ Language Module Names ===================== Language modules are named using `language tags`_ as defined in `BCP 47`_. [#]_ in lowercase, converting hyphens to underscores [#]_. A typical language identifier consists of a 2-letter language code from `ISO 639`_ (3-letter codes can be used if no 2-letter code exists). The language identifier can have an optional subtag, typically for variations based on country (from `ISO 3166`_ 2-letter country codes). If no language identifier is specified, the default is "en" for English. Examples of module names include ``en.py``, ``fr.py``, ``ja.py``, and ``pt_br.py``. .. [#] BCP stands for 'Best Current Practice', and is a persistent name for a series of RFCs whose numbers change as they are updated. The latest RFC describing language tag syntax is RFC 5646, Tags for the Identification of Languages, and it obsoletes the older RFCs 4646, 3066 and 1766. .. [#] Subtags are separated from primary tags by underscores instead of hyphens, to conform to Python naming rules. .. _language tags: https://www.w3.org/International/articles/language-tags/ .. _BCP 47: https://www.rfc-editor.org/rfc/bcp/bcp47.txt .. _ISO 639: http://www.loc.gov/standards/iso639-2/php/English_list.php .. _ISO 3166: http://www.iso.ch/iso/en/prods-services/iso3166ma/ 02iso-3166-code-lists/index.html Docutils Language Module ======================== Modules in ``docutils/languages`` contain language mappings for markup-independent language-specific features of Docutils. To make a new language module, just copy the ``en.py`` file, rename it with the code for your language (see `Language Module Names`_ above), and translate the terms as described below. Each Docutils language module contains three module attributes: ``labels`` This is a mapping of node class names to language-dependent boilerplate label text. The label text is used by Writer components when they encounter document tree elements whose class names are the mapping keys. The entry values (*not* the keys) should be translated to the target language. ``bibliographic_fields`` This is a mapping of language-dependent field names (converted to lower case) to canonical field names (keys of ``DocInfo.biblio_notes`` in ``docutils.transforms.frontmatter``). It is used when transforming bibliographic fields. The keys should be translated to the target language. ``author_separators`` This is a list of strings used to parse the 'Authors' bibliographic field. They separate individual authors' names, and are tried in order (i.e., earlier items take priority, and the first item that matches wins). The English-language module defines them as ``[';', ',']``; semi-colons can be used to separate names like "Arthur Pewtie, Esq.". Most languages won't have to "translate" this list. reStructuredText Language Module ================================ Modules in ``docutils/parsers/rst/languages`` contain language mappings for language-specific features of the reStructuredText parser. To make a new language module, just copy the ``en.py`` file, rename it with the code for your language (see `Language Module Names`_ above), and translate the terms as described below. Each reStructuredText language module contains two module attributes: ``directives`` This is a mapping from language-dependent directive names to canonical directive names. The canonical directive names are registered in ``docutils/parsers/rst/directives/__init__.py``, in ``_directive_registry``. The keys should be translated to the target language. Synonyms (multiple keys with the same values) are allowed; this is useful for abbreviations. ``roles`` This is a mapping language-dependent role names to canonical role names for interpreted text. The canonical directive names are registered in ``docutils/parsers/rst/states.py``, in ``Inliner._interpreted_roles`` (this may change). The keys should be translated to the target language. Synonyms (multiple keys with the same values) are allowed; this is useful for abbreviations. Testing the Language Modules ============================ Whenever a new language module is added or an existing one modified, the unit tests should be run. The test modules can be found in the docutils/test directory from code_ or from the `latest snapshot`_. The ``test_language.py`` module can be run as a script. With no arguments, it will test all language modules. With one or more language codes, it will test just those languages. For example:: $ python test_language.py en .. ---------------------------------------- Ran 2 tests in 0.095s OK Use the "alltests.py" script to run all test modules, exhaustively testing the parser and other parts of the Docutils system. .. _code: https://sourceforge.net/p/docutils/code/HEAD/tree/trunk/ .. _latest snapshot: https://sourceforge.net/p/docutils/code/HEAD/tarball Submitting the Language Modules =============================== If you do not have repository write access and want to contribute your language modules, feel free to submit them via the `SourceForge patch tracker`__. __ https://sourceforge.net/p/docutils/patches/ �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������rst-directives.txt����������������������������������������������������������������������������������0000664�0000000�0000000�00000037735�15141625651�0034432�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000�pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/howto�����������������������������������������������������������������������������������======================================= Creating reStructuredText_ Directives ======================================= :Authors: Dethe Elza, David Goodger, Lea Wiemann :Contact: docutils-develop@lists.sourceforge.net :Date: $Date$ :Revision: $Revision$ :Copyright: This document has been placed in the public domain. .. _reStructuredText: https://docutils.sourceforge.io/rst.html Directives are the primary extension mechanism of reStructuredText. This document aims to make the creation of new directives as easy and understandable as possible. There are only a couple of reStructuredText-specific features the developer needs to know to create a basic directive. The syntax of directives is detailed in the `reStructuredText Markup Specification`_, and standard directives are described in `reStructuredText Directives`_. Directives are a reStructuredText markup/parser concept. There is no "directive" document tree element, no single element that corresponds exactly to the concept of directives. Instead, choose the most appropriate elements from the existing Docutils elements. Directives build structures using the existing building blocks. See `The Docutils Document Tree`_ and the ``docutils.nodes`` module for more about the building blocks of Docutils documents. .. _reStructuredText Markup Specification: ../ref/rst/restructuredtext.html#directives .. _reStructuredText Directives: ../ref/rst/directives.html .. _The Docutils Document Tree: ../ref/doctree.html .. contents:: Table of Contents The Directive Class =================== Directives are created by defining a directive class that inherits from ``docutils.parsers.rst.Directive``:: from docutils.parsers import rst class MyDirective(rst.Directive): ... To understand how to implement the directive, let's have a look at the docstring of the ``Directive`` base class:: >>> from docutils.parsers import rst >>> print rst.Directive.__doc__ Base class for reStructuredText directives. The following attributes may be set by subclasses. They are interpreted by the directive parser (which runs the directive class): - `required_arguments`: The number of required arguments (default: 0). - `optional_arguments`: The number of optional arguments (default: 0). - `final_argument_whitespace`: A boolean, indicating if the final argument may contain whitespace (default: False). - `option_spec`: A dictionary, mapping known option names to conversion functions such as `int` or `float` (default: {}, no options). Several conversion functions are defined in the directives/__init__.py module. Option conversion functions take a single parameter, the option argument (a string or ``None``), validate it and/or convert it to the appropriate form. Conversion functions may raise `ValueError` and `TypeError` exceptions. - `has_content`: A boolean; True if content is allowed. Client code must handle the case where content is required but not supplied (an empty content list will be supplied). Arguments are normally single whitespace-separated words. The final argument may contain whitespace and/or newlines if `final_argument_whitespace` is True. If the form of the arguments is more complex, specify only one argument (either required or optional) and set `final_argument_whitespace` to True; the client code must do any context-sensitive parsing. When a directive implementation is being run, the directive class is instantiated, and the `run()` method is executed. During instantiation, the following instance variables are set: - ``name`` is the directive type or name (string). - ``arguments`` is the list of positional arguments (strings). - ``options`` is a dictionary mapping option names (strings) to values (type depends on option conversion functions; see `option_spec` above). - ``content`` is a list of strings, the directive content line by line. - ``lineno`` is the line number of the first line of the directive. - ``content_offset`` is the line offset of the first line of the content from the beginning of the current input. Used when initiating a nested parse. - ``block_text`` is a string containing the entire directive. - ``state`` is the state which called the directive function. - ``state_machine`` is the state machine which controls the state which called the directive function. Directive functions return a list of nodes which will be inserted into the document tree at the point where the directive was encountered. This can be an empty list if there is nothing to insert. For ordinary directives, the list must contain body elements or structural elements. Some directives are intended specifically for substitution definitions, and must return a list of `Text` nodes and/or inline elements (suitable for inline insertion, in place of the substitution reference). Such directives must verify substitution definition context, typically using code like this:: if not isinstance(state, states.SubstitutionDef): error = state_machine.reporter.error( 'Invalid context: the "%s" directive can only be used ' 'within a substitution definition.' % (name), nodes.literal_block(block_text, block_text), line=lineno) return [error] >>> Option Conversion Functions =========================== An option specification (``Directive.option_spec``) must be defined detailing the options available to the directive. An option spec is a mapping of option name to conversion function; conversion functions are applied to each option value to check validity and convert them to the expected type. Python's built-in conversion functions are often usable for this, such as ``int``, ``float``. Other useful conversion functions are included in the ``docutils.parsers.rst.directives`` package (in the ``__init__.py`` module): - ``flag``: For options with no option arguments. Checks for an argument (raises ``ValueError`` if found), returns ``None`` for valid flag options. - ``unchanged_required``: Returns the text argument, unchanged. Raises ``ValueError`` if no argument is found. - ``unchanged``: Returns the text argument, unchanged. Returns an empty string ("") if no argument is found. - ``path``: Returns the path argument unwrapped (with newlines removed). Raises ``ValueError`` if no argument is found. - ``uri``: Returns the URI argument with whitespace removed. Raises ``ValueError`` if no argument is found. - ``nonnegative_int``: Checks for a nonnegative integer argument, and raises ``ValueError`` if not. - ``class_option``: Converts the argument into an ID-compatible string and returns it. Raises ``ValueError`` if no argument is found. - ``unicode_code``: Convert a Unicode character code to a Unicode character. - ``single_char_or_unicode``: A single character is returned as-is. Unicode characters codes are converted as in ``unicode_code``. - ``single_char_or_whitespace_or_unicode``: As with ``single_char_or_unicode``, but "tab" and "space" are also supported. - ``positive_int``: Converts the argument into an integer. Raises ValueError for negative, zero, or non-integer values. - ``positive_int_list``: Converts a space- or comma-separated list of integers into a Python list of integers. Raises ValueError for non-positive-integer values. - ``encoding``: Verifies the encoding argument by lookup. Raises ValueError for unknown encodings. A further utility function, ``choice``, is supplied to enable options whose argument must be a member of a finite set of possible values. A custom conversion function must be written to use it. For example:: from docutils.parsers.rst import directives def yesno(argument): return directives.choice(argument, ('yes', 'no')) For example, here is an option spec for a directive which allows two options, "name" and "value", each with an option argument:: option_spec = {'name': unchanged, 'value': int} Error Handling ============== If your directive implementation encounters an error during processing, you should call ``self.error()`` inside the ``run()`` method:: if error_condition: raise self.error('Error message.') The ``self.error()`` method will immediately raise an exception that will be caught by the reStructuredText directive handler. The directive handler will then insert an error-level system message in the document at the place where the directive occurred. Instead of ``self.error``, you can also use ``self.severe`` and ``self.warning`` for more or less severe problems. If you want to return a system message *and* document contents, you need to create the system message yourself instead of using the ``self.error`` convenience method:: def run(self): # Create node(s). node = nodes.paragraph(...) # Node list to return. node_list = [node] if error_condition: # Create system message. error = self.reporter.error( 'Error in "%s" directive: Your error message.' % self.name, nodes.literal_block(block_text, block_text), line=lineno) node_list.append(error) return node_list Register the Directive ====================== * If the directive is a general-use **addition to the Docutils core**, it must be registered with the parser and language mappings added: 1. Register the new directive using its canonical name in ``docutils/parsers/rst/directives/__init__.py``, in the ``_directive_registry`` dictionary. This allows the reStructuredText parser to find and use the directive. 2. Add an entry to the ``directives`` dictionary in ``docutils/parsers/rst/languages/en.py`` for the directive, mapping the English name to the canonical name (both lowercase). Usually the English name and the canonical name are the same. 3. Update all the other language modules as well. For languages in which you are proficient, please add translations. For other languages, add the English directive name plus "(translation required)". * If the directive is **application-specific**, use the ``register_directive`` function:: from docutils.parsers.rst import directives directives.register_directive(directive_name, directive_class) Examples ======== For the most direct and accurate information, "Use the Source, Luke!". All standard directives are documented in `reStructuredText Directives`_, and the source code implementing them is located in the ``docutils/parsers/rst/directives`` package. The ``__init__.py`` module contains a mapping of directive name to module and function name. Several representative directives are described below. Admonitions ----------- `Admonition directives`__, such as "note" and "caution", are quite simple. They have no directive arguments or options. Admonition directive content is interpreted as ordinary reStructuredText. __ ../ref/rst/directives.html#specific-admonitions The resulting document tree for a simple reStructuredText line "``.. note:: This is a note.``" looks as follows: <note> <paragraph> This is a note. The directive class for the "note" directive simply derives from a generic admonition directive class:: class Note(BaseAdmonition): node_class = nodes.note Note that the only thing distinguishing the various admonition directives is the element (node class) generated. In the code above, the node class is set as a class attribute and is read by the ``run()`` method of ``BaseAdmonition``, where the actual processing takes place:: # Import Docutils document tree nodes module. from docutils import nodes # Import Directive base class. from docutils.parsers.rst import Directive class BaseAdmonition(Directive): required_arguments = 0 optional_arguments = 0 final_argument_whitespace = True option_spec = {} has_content = True node_class = None """Subclasses must set this to the appropriate admonition node class.""" def run(self): # Raise an error if the directive does not have contents. self.assert_has_content() text = '\n'.join(self.content) # Create the admonition node, to be populated by `nested_parse`. admonition_node = self.node_class(rawsource=text) # Parse the directive contents. self.state.nested_parse(self.content, self.content_offset, admonition_node) return [admonition_node] Three things are noteworthy in the ``run()`` method above: * The ``admonition_node = self.node_class(text)`` line creates the wrapper element, using the class set by the specific admonition subclasses (as in note, ``node_class = nodes.note``). * The call to ``state.nested_parse()`` is what does the actual processing. It parses the directive content and adds any generated elements as child elements of ``admonition_node``. * If there was no directive content, the ``assert_has_content()`` convenience method raises an error exception by calling ``self.error()`` (see `Error Handling`_ above). "image" ------- .. _image: ../ref/rst/directives.html#image The "image_" directive is used to insert a picture into a document. This directive has one argument, the path to the image file, and supports several options. There is no directive content. Here's an early version of the image directive class:: # Import Docutils document tree nodes module. from docutils import nodes # Import ``directives`` module (contains conversion functions). from docutils.parsers.rst import directives # Import Directive base class. from docutils.parsers.rst import Directive def align(argument): """Conversion function for the "align" option.""" return directives.choice(argument, ('left', 'center', 'right')) class Image(Directive): required_arguments = 1 optional_arguments = 0 final_argument_whitespace = True option_spec = {'alt': directives.unchanged, 'height': directives.nonnegative_int, 'width': directives.nonnegative_int, 'scale': directives.nonnegative_int, 'align': align, } has_content = False def run(self): reference = directives.uri(self.arguments[0]) self.options['uri'] = reference image_node = nodes.image(rawsource=self.block_text, **self.options) return [image_node] Several things are noteworthy in the code above: * The "image" directive requires a single argument, which is allowed to contain whitespace (``final_argument_whitespace = True``). This is to allow for long URLs which may span multiple lines. The first line of the ``run()`` method joins the URL, discarding any embedded whitespace. * The reference is added to the ``options`` dictionary under the "uri" key; this becomes an attribute of the ``nodes.image`` element object. Any other attributes have already been set explicitly in the reStructuredText source text. The Pending Element ------------------- Directives that cause actions to be performed *after* the complete document tree has been generated can be implemented using a ``pending`` node. The ``pending`` node causes a transform_ to be run after the document has been parsed. For an example usage of the ``pending`` node, see the implementation of the ``contents`` directive in docutils.parsers.rst.directives.parts__. .. _transform: ../api/transforms.html __ https://docutils.sourceforge.io/docutils/parsers/rst/directives/parts.py �����������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/howto/rst-roles.txt��0000664�0000000�0000000�00000021313�15141625651�0033455�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������================================================== Creating reStructuredText Interpreted Text Roles ================================================== :Authors: David Goodger :Contact: docutils-develop@lists.sourceforge.net :Date: $Date$ :Revision: $Revision$ :Copyright: This document has been placed in the public domain. Interpreted text roles are an extension mechanism for inline markup in reStructuredText. This document aims to make the creation of new roles as easy and understandable as possible. Standard roles are described in `reStructuredText Interpreted Text Roles`_. See the `Interpreted Text`_ section in the `reStructuredText Markup Specification`_ for syntax details. .. _reStructuredText Interpreted Text Roles: ../ref/rst/roles.html .. _Interpreted Text: ../ref/rst/restructuredtext.html#interpreted-text .. _reStructuredText Markup Specification: ../ref/rst/restructuredtext.html .. contents:: Define the Role Function ======================== The role function creates and returns inline elements (nodes) and does any additional processing required. Its signature is as follows:: def role_fn(name, rawtext, text, lineno, inliner, options=None, content=None): code... # Optional function attributes for customization: role_fn.options = ... role_fn.content = ... Function attributes are described below (see `Specify Role Function Options and Content`_). The role function parameters are as follows: * ``name``: The local name of the interpreted role, the role name actually used in the document. * ``rawtext``: A string containing the entire interpreted text input, including the role and markup. Return it as a ``problematic`` node linked to a system message if a problem is encountered. * ``text``: The interpreted text content. * ``lineno``: The line number where the text block containing the interpreted text begins. * ``inliner``: The ``docutils.parsers.rst.states.Inliner`` object that called role_fn. It contains the several attributes useful for error reporting and document tree access. * ``options``: A dictionary of directive options for customization (from the `"role" directive`_), to be interpreted by the role function. Used for additional attributes for the generated elements and other functionality. * ``content``: A list of strings, the directive content for customization (from the `"role" directive`_). To be interpreted by the role function. Role functions return a tuple of two values: * A list of nodes which will be inserted into the document tree at the point where the interpreted role was encountered (can be an empty list). * A list of system messages, which will be inserted into the document tree immediately after the end of the current block (can also be empty). Specify Role Function Options and Content ========================================= Function attributes are for customization, and are interpreted by the `"role" directive`_. If unspecified, role function attributes are assumed to have the value ``None``. Two function attributes are recognized: - ``options``: The option specification. All role functions implicitly support the "class" option, unless disabled with an explicit ``{'class': None}``. An option specification must be defined detailing the options available to the "role" directive. An option spec is a mapping of option name to conversion function; conversion functions are applied to each option value to check validity and convert them to the expected type. Python's built-in conversion functions are often usable for this, such as ``int``, ``float``, and ``bool`` (included in Python from version 2.2.1). Other useful conversion functions are included in the ``docutils.parsers.rst.directives`` package. For further details, see `Creating reStructuredText Directives`_. - ``content``: A boolean; true if "role" directive content is allowed. Role functions must handle the case where content is required but not supplied (an empty content list will be supplied). As of this writing, no roles accept directive content. Note that unlike directives, the "arguments" function attribute is not supported for role customization. Directive arguments are handled by the "role" directive itself. .. _"role" directive: ../ref/rst/directives.html#role .. _Creating reStructuredText Directives: rst-directives.html#specify-directive-arguments-options-and-content Register the Role ================= If the role is a general-use addition to the Docutils core, it must be registered with the parser and language mappings added: 1. Register the new role using the canonical name:: from docutils.parsers.rst import roles roles.register_canonical_role(name, role_function) This code is normally placed immediately after the definition of the role function. 2. Add an entry to the ``roles`` dictionary in ``docutils/parsers/rst/languages/en.py`` for the role, mapping the English name to the canonical name (both lowercase). Usually the English name and the canonical name are the same. Abbreviations and other aliases may also be added here. 3. Update all the other language modules as well. For languages in which you are proficient, please add translations. For other languages, add the English role name plus "(translation required)". If the role is application-specific, use the ``register_local_role`` function:: from docutils.parsers.rst import roles roles.register_local_role(name, role_function) Examples ======== For the most direct and accurate information, "Use the Source, Luke!". All standard roles are documented in `reStructuredText Interpreted Text Roles`_, and the source code implementing them is located in the ``docutils/parsers/rst/roles.py`` module. Several representative roles are described below. Generic Roles ------------- Many roles simply wrap a given element around the text. There's a special helper function, ``register_generic_role``, which generates a role function from the canonical role name and node class:: register_generic_role('emphasis', nodes.emphasis) For the implementation of ``register_generic_role``, see the ``docutils.parsers.rst.roles`` module. RFC Reference Role ------------------ This role allows easy references to RFCs_ (Request For Comments documents) by automatically providing the base URL, http://www.faqs.org/rfcs/, and appending the RFC document itself (rfcXXXX.html, where XXXX is the RFC number). For example:: See :RFC:`2822` for information about email headers. This is equivalent to:: See `RFC 2822`__ for information about email headers. __ http://www.faqs.org/rfcs/rfc2822.html Here is the implementation of the role:: def rfc_reference_role(role, rawtext, text, lineno, inliner, options=None, content=None): if "#" in text: rfcnum, section = utils.unescape(text).split("#", 1) else: rfcnum, section = utils.unescape(text), None try: rfcnum = int(rfcnum) if rfcnum < 1: raise ValueError except ValueError: msg = inliner.reporter.error( 'RFC number must be a number greater than or equal to 1; ' '"%s" is invalid.' % text, line=lineno) prb = inliner.problematic(rawtext, rawtext, msg) return [prb], [msg] # Base URL mainly used by inliner.rfc_reference, so this is correct: ref = inliner.document.settings.rfc_base_url + inliner.rfc_url % rfcnum if section is not None: ref += "#"+section options = normalize_role_options(options) node = nodes.reference(rawtext, 'RFC ' + str(rfcnum), refuri=ref, **options) return [node], [] register_canonical_role('rfc-reference', rfc_reference_role) Noteworthy in the code above are: 1. The interpreted text itself should contain the RFC number. The ``try`` clause verifies by converting it to an integer. If the conversion fails, the ``except`` clause is executed: a system message is generated, the entire interpreted text construct (in ``rawtext``) is wrapped in a ``problematic`` node (linked to the system message), and the two are returned. 2. The RFC reference itself is constructed from a stock URI, set as the "refuri" attribute of a "reference" element. 3. The ``options`` function parameter, a dictionary, may contain a "class" customization attribute; it is interpreted and replaced with a "classes" attribute by the ``set_classes()`` function. The resulting "classes" attribute is passed through to the "reference" element node constructor. .. _RFCs: http://foldoc.doc.ic.ac.uk/foldoc/foldoc.cgi?query=rfc&action=Search&sourceid=Mozilla-search ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/howto/security.txt���0000664�0000000�0000000�00000015474�15141625651�0033405�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������============================= Deploying Docutils Securely ============================= :Author: David Goodger :Contact: docutils-develop@lists.sourceforge.net :Date: $Date$ :Revision: $Revision$ :Copyright: This document has been placed in the public domain. .. contents:: Introduction ============ Initially, Docutils was intended for command-line tools and single-user applications. Through-the-web editing and processing was not envisaged, therefore web security was not a consideration. Once Docutils/reStructuredText started being incorporated into an ever-increasing number of web applications (blogs__, wikis__, content management systems, and others), several security issues arose and have been addressed. Still, **Docutils does not come in a through-the-web secure state**, because this would inconvenience ordinary users. This document provides pointers to help you secure the Docutils software in your applications. __ ../../FAQ.html#are-there-any-weblog-blog-projects-that-use-restructuredtext-syntax __ ../../FAQ.html#are-there-any-wikis-that-use-restructuredtext-syntax The Issues ========== File Creation ------------- Docutils does not do any checks before writing to a file: * Existing **files are overwritten** without asking! * Files may be **written to any location** accessible to the process. * There are **no restrictions to** the **file names**. Special care must be taken when allowing users to configure the *output destination* or the `warning_stream`_, `record_dependencies`_, or `_destination`_ settings. .. _warning_stream: ../user/config.html#warning-stream .. _record_dependencies: ../user/config.html#record-dependencies .. _`_destination`: ../user/config.html#destination External Data Insertion ----------------------- There are several `reStructuredText directives`_ that can insert external data (files and URLs) into the output document. These directives are: * "include_", by its very nature, * "raw_", through its ``:file:`` and ``:url:`` options, * "csv-table_", through its ``:file:`` and ``:url:`` options, * "image_", if `embed_images`_ is true. The "include_" directive and the other directives' file insertion features can be disabled by setting "file_insertion_enabled_" to "false__". __ ../user/config.html#configuration-file-syntax .. _reStructuredText directives: ../ref/rst/directives.html .. _include: ../ref/rst/directives.html#include .. _raw: ../ref/rst/directives.html#raw-directive .. _csv-table: ../ref/rst/directives.html#csv-table .. _image: ../ref/rst/directives.html#image .. _embed_images: ../user/config.html#embed-images .. _file_insertion_enabled: ../user/config.html#file-insertion-enabled Raw HTML Insertion ------------------ The "raw_" directive is intended for the insertion of non-reStructuredText data that is passed untouched to the Writer. This directive can be abused to bypass site features or insert malicious JavaScript code into a web page. The "raw_" directive can be disabled by setting "raw_enabled_" to "false". .. _raw_enabled: ../user/config.html#raw-enabled CPU and memory utilization -------------------------- Parsing **complex reStructuredText documents may require high processing resources**. This enables `Denial of Service` attacks using specially crafted input. It is recommended to enforce limits for the computation time and resource utilization of the Docutils process when processing untrusted input. In addition, the "line_length_limit_" can be adapted. .. _line_length_limit: ../user/config.html#line-length-limit Securing Docutils ================= Programmatically Via Application Default Settings ------------------------------------------------- If your application calls Docutils via one of the `convenience functions`_, you can pass a dictionary of default settings that override the component defaults:: defaults = {'file_insertion_enabled': False, 'raw_enabled': False} output = docutils.core.publish_string( ..., settings_overrides=defaults) Note that these defaults can be overridden by configuration files (and command-line options if applicable). If this is not desired, you can disable configuration file processing with the ``_disable_config`` setting:: defaults = {'file_insertion_enabled': False, 'raw_enabled': False, '_disable_config': True} output = docutils.core.publish_string( ..., settings_overrides=defaults) .. _convenience functions: ../api/publisher.html Via a Configuration File ------------------------ You may secure Docutils via a configuration file: * if your application executes one of the `Docutils front-end tools`_ as a separate process; * if you cannot or choose not to alter the source code of your application or the component that calls Docutils; or * if you want to secure all Docutils deployments system-wide. If you call Docutils programmatically, it may be preferable to use the methods described in the section above. Docutils automatically looks in three places for a configuration file: * ``/etc/docutils.conf``, for system-wide configuration, * ``./docutils.conf`` (in the current working directory), for project-specific configuration, and * ``~/.docutils`` (in the user's home directory), for user-specific configuration. These locations can be overridden by the ``DOCUTILSCONFIG`` environment variable. Details about configuration files, the purpose of the various locations, and ``DOCUTILSCONFIG`` are available in the `"Configuration Files"`_ section of `Docutils Configuration`_. To fully secure a recent Docutils installation, the configuration file should contain the following lines :: [general] file-insertion-enabled: off raw-enabled: no and untrusted users must be prevented to modify or create local configuration files that overwrite these settings. .. _Docutils front-end tools: ../user/tools.html .. _"Configuration Files": ../user/config.html#configuration-files .. _Docutils Configuration: ../user/config.html Version Applicability ===================== The "file_insertion_enabled_" and "raw_enabled_" settings were added to Docutils 0.3.9; previous versions will ignore these settings. A bug existed in the configuration file handling of these settings in Docutils 0.4 and earlier: the right-hand-side needed to be left blank (no values):: [general] file-insertion-enabled: raw-enabled: The bug was fixed with the 0.4.1 release on 2006-11-12. The "line_length_limit_" is new in Docutils 0.17. Related Documents ================= `Docutils Runtime Settings`_ explains the relationship between component settings specifications, application settings specifications, configuration files, and command-line options `Docutils Configuration`_ describes configuration files (locations, structure, and syntax), and lists all settings and command-line options. .. _Docutils Runtime Settings: ../api/runtime-settings.html ����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/index.txt������������0000664�0000000�0000000�00000020110�15141625651�0031464�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������========================================== Docutils Project Documentation Overview ========================================== :Author: David Goodger :Contact: docutils-develop@lists.sourceforge.net :Date: $Date$ :Revision: $Revision$ :Copyright: This document has been placed in the public domain. The latest working documents may be accessed individually below, or from the ``docs`` directory of the `Docutils distribution`_. .. _Docutils: https://docutils.sourceforge.io/ .. _Docutils distribution: https://docutils.sourceforge.io/#download .. header:: Docutils_ | Overview | About__ | Users__ | Reference__ | Developers__ __ `project fundamentals`_ __ user_ __ ref_ __ howto_ .. contents:: Docutils Stakeholders ===================== Docutils stakeholders can be categorized in several groups: 1. End-users: users of reStructuredText and the Docutils tools. Although some are developers (e.g. Python developers utilizing reStructuredText for docstrings in their source), many are not. 2. Client-developers: developers using Docutils as a library, programmers developing *with* Docutils. 3. Component-developers: those who implement application-specific components, directives, and/or roles, separately from Docutils. 4. Core-developers: developers of the Docutils codebase and participants in the Docutils project community. 5. Re-implementers: developers of alternate implementations of Docutils. There's a lot of overlap between these groups. Most (perhaps all) core-developers, component-developers, client-developers, and re-implementers are also end-users. Core-developers are also client-developers, and may also be component-developers in other projects. Component-developers are also client-developers. Project Fundamentals ==================== These files are for all Docutils stakeholders. They are kept at the top level of the Docutils project directory. .. class:: narrow run-in :README_: Project overview: quick-start, requirements, installation, and usage. :COPYING_: Conditions for Docutils redistribution, with links to licenses. :FAQ_: Docutils Frequently Asked Questions. If you have a question or issue, there's a good chance it's already answered here. :BUGS_: A list of known bugs, and how to report a bug. :RELEASE-NOTES_: Summary of the major changes in recent releases and notice of future incompatible changes. :HISTORY_: Detailed change history log. :THANKS_: Acknowledgements. .. _README: ../README.html .. _BUGS: ../BUGS.html .. _COPYING: ../COPYING.html .. _Docutils FAQ: .. _FAQ: ../FAQ.html .. _RELEASE-NOTES: ../RELEASE-NOTES.html .. _HISTORY: ../HISTORY.html .. _THANKS: ../THANKS.html .. _user: Introductory & Tutorial Material for End-Users ============================================== Docutils-general: * `Docutils Front-End Tools <user/tools.html>`__ * `Docutils Configuration <user/config.html>`__ * `Docutils Mailing Lists <user/mailing-lists.html>`__ * `Docutils Link List <user/links.html>`__ Writer-specific: * `Docutils HTML Writers <user/html.html>`__ * `Easy Slide Shows With reStructuredText & S5 <user/slide-shows.html>`__ * `Docutils LaTeX Writer <user/latex.html>`__ * `Man Page Writer for Docutils <user/manpage.html>`__ * `Docutils ODF/OpenOffice/odt Writer <user/odt.html>`__ `reStructuredText <https://docutils.sourceforge.io/rst.html>`_: * `A ReStructuredText Primer <user/rst/quickstart.html>`__ (see also the `text source <user/rst/quickstart.txt>`__) * `Quick reStructuredText <user/rst/quickref.html>`__ (user reference) * `reStructuredText Cheat Sheet <user/rst/cheatsheet.txt>`__ (text only; 1 page for syntax, 1 page directive & role reference) * `Demonstration <user/rst/demo.html>`_ of most reStructuredText features (see also the `text source <user/rst/demo.txt>`__) Editor support: * `Emacs support for reStructuredText <user/emacs.html>`_ .. _ref: Reference Material for All Groups ================================= Many of these files began as developer specifications, but now that they're mature and used by end-users and client-developers, they have become reference material. Successful specs evolve into refs. Docutils-general: * `The Docutils Document Tree <ref/doctree.html>`__ (incomplete) * `Docutils Generic DTD <ref/docutils.dtd>`__ * `OASIS XML Exchange Table Model Declaration Module <ref/soextblx.dtd>`__ (CALS tables DTD module) * `Docutils Design Specification`_ (PEP 258) reStructuredText_: * `An Introduction to reStructuredText <ref/rst/introduction.html>`__ (includes the `Goals <ref/rst/introduction.html#goals>`__ and `History <ref/rst/introduction.html#history>`__ of reStructuredText) * `reStructuredText Markup Specification <ref/rst/restructuredtext.html>`__ * `reStructuredText Directives <ref/rst/directives.html>`__ * `reStructuredText Interpreted Text Roles <ref/rst/roles.html>`__ * `reStructuredText Standard Definition Files <ref/rst/definitions.html>`_ * `LaTeX syntax for mathematics <ref/rst/mathematics.html>`__ (syntax used in "math" directive and role) .. _peps: Python Enhancement Proposals * `PEP 256: Docstring Processing System Framework`__ is a high-level generic proposal. [:PEP:`256` in the `master repository`_] * `PEP 257: Docstring Conventions`__ addresses docstring style and touches on content. [:PEP:`257` in the `master repository`_] * `PEP 258: Docutils Design Specification`__ is an overview of the architecture of Docutils. It documents design issues and implementation details. [:PEP:`258` in the `master repository`_] * `PEP 287: reStructuredText Docstring Format`__ proposes a standard markup syntax. [:PEP:`287` in the `master repository`_] Please note that PEPs in the `master repository`_ developed independent from the local versions after submission. __ peps/pep-0256.html __ peps/pep-0257.html .. _PEP 258: .. _Docutils Design Specification: __ peps/pep-0258.html __ peps/pep-0287.html .. _master repository: https://peps.python.org Prehistoric: `Setext Documents Mirror`__ __ https://docutils.sourceforge.io/mirror/setext.html .. _api: API Reference Material for Client-Developers ============================================ * `The Docutils Publisher <api/publisher.html>`__ * `Docutils Runtime Settings <api/runtime-settings.html>`__ * `Docutils Transforms <api/transforms.html>`__ The `Docutils Design Specification`_ (PEP 258) is a must-read for any Docutils developer. .. _howto: Instructions for Developers =========================== :Security: `Deploying Docutils Securely <howto/security.html>`__ * `Inside A Docutils Command-Line Front-End Tool <howto/cmdline-tool.html>`__ * `Writing HTML (CSS) Stylesheets for Docutils <howto/html-stylesheets.html>`__ * `Docutils Internationalization <howto/i18n.html>`__ * `Creating reStructuredText Directives <howto/rst-directives.html>`__ * `Creating reStructuredText Interpreted Text Roles <howto/rst-roles.html>`__ .. _dev: Development Notes and Plans for Core-Developers =============================================== Docutils-general: * `Docutils Hacker's Guide <dev/hacking.html>`__ * `Docutils Distributor's Guide <dev/distributing.html>`__ * `Docutils To Do List <dev/todo.html>`__ * `Docutils Project Policies <dev/policies.html>`__ * `Docutils Web Site <dev/website.html>`__ * `Docutils Release Procedure <dev/release.html>`__ * `The Docutils Subversion Repository <dev/repository.html>`__ * `Docutils Testing <dev/testing.html>`__ * `Docstring Semantics <dev/semantics.html>`__ (incomplete) * `Python Source Reader <dev/pysource.html>`_ (incomplete) * `Docutils Python DTD <dev/pysource.dtd>`_ * `Plan for Enthought API Documentation Tool <dev/enthought-plan.html>`_ * `Enthought API Documentation Tool RFP <dev/enthought-rfp.html>`_ reStructuredText_: * `A Record of reStructuredText Syntax Alternatives <dev/rst/alternatives.html>`__ * `Problems With StructuredText <dev/rst/problems.html>`__ .. Local Variables: mode: indented-text indent-tabs-mode: nil sentence-end-double-space: t fill-column: 70 End: ��������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/peps/����������������0000775�0000000�0000000�00000000000�15141625651�0030571�5����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/peps/pep-0256.txt����0000664�0000000�0000000�00000024305�15141625651�0032514�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������PEP: 256 Title: Docstring Processing System Framework Version: $Revision$ Last-Modified: $Date$ Author: David Goodger <goodger@python.org> Discussions-To: <doc-sig@python.org> Status: Rejected Type: Standards Track Content-Type: text/x-rst Created: 01-Jun-2001 Post-History: 13-Jun-2001 Rejection Notice ================ This proposal seems to have run out of steam. Abstract ======== Python lends itself to inline documentation. With its built-in docstring syntax, a limited form of `Literate Programming`_ is easy to do in Python. However, there are no satisfactory standard tools for extracting and processing Python docstrings. The lack of a standard toolset is a significant gap in Python's infrastructure; this PEP aims to fill the gap. The issues surrounding docstring processing have been contentious and difficult to resolve. This PEP proposes a generic Docstring Processing System (DPS) framework, which separates out the components (program and conceptual), enabling the resolution of individual issues either through consensus (one solution) or through divergence (many). It promotes standard interfaces which will allow a variety of plug-in components (input context readers, markup parsers, and output format writers) to be used. The concepts of a DPS framework are presented independently of implementation details. Road Map to the Docstring PEPs ============================== There are many aspects to docstring processing. The "Docstring PEPs" have broken up the issues in order to deal with each of them in isolation, or as close as possible. The individual aspects and associated PEPs are as follows: * Docstring syntax. PEP 287, "reStructuredText Docstring Format" [#PEP-287]_, proposes a syntax for Python docstrings, PEPs, and other uses. * Docstring semantics consist of at least two aspects: - Conventions: the high-level structure of docstrings. Dealt with in PEP 257, "Docstring Conventions" [#PEP-257]_. - Methodology: rules for the informational content of docstrings. Not addressed. * Processing mechanisms. This PEP (PEP 256) outlines the high-level issues and specification of an abstract docstring processing system (DPS). PEP 258, "Docutils Design Specification" [#PEP-258]_, is an overview of the design and implementation of one DPS under development. * Output styles: developers want the documentation generated from their source code to look good, and there are many different ideas about what that means. PEP 258 touches on "Stylist Transforms". This aspect of docstring processing has yet to be fully explored. By separating out the issues, we can form consensus more easily (smaller fights ;-), and accept divergence more readily. Rationale ========= There are standard inline documentation systems for some other languages. For example, Perl has POD_ ("Plain Old Documentation") and Java has Javadoc_, but neither of these mesh with the Pythonic way. POD syntax is very explicit, but takes after Perl in terms of readability. Javadoc is HTML-centric; except for "``@field``" tags, raw HTML is used for markup. There are also general tools such as Autoduck_ and Web_ (Tangle & Weave), useful for multiple languages. There have been many attempts to write auto-documentation systems for Python (not an exhaustive list): - Marc-Andre Lemburg's doc.py_ - Daniel Larsson's pythondoc_ & gendoc_ - Doug Hellmann's HappyDoc_ - Laurence Tratt's Crystal (no longer available on the web) - Ka-Ping Yee's pydoc_ (pydoc.py is now part of the Python standard library; see below) - Tony Ibbs' docutils_ (Tony has donated this name to the `Docutils project`_) - Edward Loper's STminus_ formalization and related efforts These systems, each with different goals, have had varying degrees of success. A problem with many of the above systems was over-ambition combined with inflexibility. They provided a self-contained set of components: a docstring extraction system, a markup parser, an internal processing system and one or more output format writers with a fixed style. Inevitably, one or more aspects of each system had serious shortcomings, and they were not easily extended or modified, preventing them from being adopted as standard tools. It has become clear (to this author, at least) that the "all or nothing" approach cannot succeed, since no monolithic self-contained system could possibly be agreed upon by all interested parties. A modular component approach designed for extension, where components may be multiply implemented, may be the only chance for success. Standard inter-component APIs will make the DPS components comprehensible without requiring detailed knowledge of the whole, lowering the barrier for contributions, and ultimately resulting in a rich and varied system. Each of the components of a docstring processing system should be developed independently. A "best of breed" system should be chosen, either merged from existing systems, and/or developed anew. This system should be included in Python's standard library. PyDoc & Other Existing Systems ------------------------------ PyDoc became part of the Python standard library as of release 2.1. It extracts and displays docstrings from within the Python interactive interpreter, from the shell command line, and from a GUI window into a web browser (HTML). Although a very useful tool, PyDoc has several deficiencies, including: - In the case of the GUI/HTML, except for some heuristic hyperlinking of identifier names, no formatting of the docstrings is done. They are presented within ``<p><small><tt>`` tags to avoid unwanted line wrapping. Unfortunately, the result is not attractive. - PyDoc extracts docstrings and structural information (class identifiers, method signatures, etc.) from imported module objects. There are security issues involved with importing untrusted code. Also, information from the source is lost when importing, such as comments, "additional docstrings" (string literals in non-docstring contexts; see PEP 258 [#PEP-258]_), and the order of definitions. The functionality proposed in this PEP could be added to or used by PyDoc when serving HTML pages. The proposed docstring processing system's functionality is much more than PyDoc needs in its current form. Either an independent tool will be developed (which PyDoc may or may not use), or PyDoc could be expanded to encompass this functionality and *become* the docstring processing system (or one such system). That decision is beyond the scope of this PEP. Similarly for other existing docstring processing systems, their authors may or may not choose compatibility with this framework. However, if this framework is accepted and adopted as the Python standard, compatibility will become an important consideration in these systems' future. Specification ============= The docstring processing system framework is broken up as follows: 1. Docstring conventions. Documents issues such as: - What should be documented where. - First line is a one-line synopsis. PEP 257 [#PEP-257]_ documents some of these issues. 2. Docstring processing system design specification. Documents issues such as: - High-level spec: what a DPS does. - Command-line interface for executable script. - System Python API. - Docstring extraction rules. - Readers, which encapsulate the input context. - Parsers. - Document tree: the intermediate internal data structure. The output of the Parser and Reader, and the input to the Writer all share the same data structure. - Transforms, which modify the document tree. - Writers for output formats. - Distributors, which handle output management (one file, many files, or objects in memory). These issues are applicable to any docstring processing system implementation. PEP 258 [#PEP-258]_ documents these issues. 3. Docstring processing system implementation. 4. Input markup specifications: docstring syntax. PEP 287 [#PEP-287]_ proposes a standard syntax. 5. Input parser implementations. 6. Input context readers ("modes": Python source code, PEP, standalone text file, email, etc.) and implementations. 7. Stylists: certain input context readers may have associated stylists which allow for a variety of output document styles. 8. Output formats (HTML, XML, TeX, DocBook, info, etc.) and writer implementations. Components 1, 2/3/5, and 4 are the subject of individual companion PEPs. If there is another implementation of the framework or syntax/parser, additional PEPs may be required. Multiple implementations of each of components 6 and 7 will be required; the PEP mechanism may be overkill for these components. Project Web Site ================ A SourceForge project has been set up for this work at https://docutils.sourceforge.io/. References and Footnotes ======================== .. [#PEP-287] PEP 287, reStructuredText Docstring Format, Goodger (http://www.python.org/peps/pep-0287.html) .. [#PEP-257] PEP 257, Docstring Conventions, Goodger, Van Rossum (http://www.python.org/peps/pep-0257.html) .. [#PEP-258] PEP 258, Docutils Design Specification, Goodger (http://www.python.org/peps/pep-0258.html) .. _Literate Programming: http://www.literateprogramming.com/ .. _POD: http://perldoc.perl.org/perlpod.html .. _Javadoc: http://java.sun.com/j2se/javadoc/ .. _Autoduck: http://www.helpmaster.com/hlp-developmentaids-autoduck.htm .. _Web: http://www-cs-faculty.stanford.edu/~knuth/cweb.html .. _doc.py: http://www.egenix.com/files/python/SoftwareDescriptions.html#doc.py .. _pythondoc: .. _gendoc: http://starship.python.net/crew/danilo/pythondoc/ .. _HappyDoc: http://happydoc.sourceforge.net/ .. _pydoc: http://www.python.org/doc/current/lib/module-pydoc.html .. _docutils: http://www.tibsnjoan.co.uk/docutils.html .. _Docutils project: https://docutils.sourceforge.io/ .. _STMinus: http://www.cis.upenn.edu/~edloper/pydoc/ .. _Python Doc-SIG: http://www.python.org/sigs/doc-sig/ Copyright ========= This document has been placed in the public domain. Acknowledgements ================ This document borrows ideas from the archives of the `Python Doc-SIG`_. Thanks to all members past & present. .. Local Variables: mode: indented-text indent-tabs-mode: nil sentence-end-double-space: t fill-column: 70 End: ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/peps/pep-0257.txt����0000664�0000000�0000000�00000026644�15141625651�0032525�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������PEP: 257 Title: Docstring Conventions Version: $Revision$ Last-Modified: $Date$ Authors: David Goodger <goodger@python.org>, Guido van Rossum <guido@python.org> Discussions-To: doc-sig@python.org Status: Active Type: Informational Content-Type: text/x-rst Created: 29-May-2001 Post-History: 13-Jun-2001 Abstract ======== This PEP documents the semantics and conventions associated with Python docstrings. Rationale ========= The aim of this PEP is to standardize the high-level structure of docstrings: what they should contain, and how to say it (without touching on any markup syntax within docstrings). The PEP contains conventions, not laws or syntax. "A universal convention supplies all of maintainability, clarity, consistency, and a foundation for good programming habits too. What it doesn't do is insist that you follow it against your will. That's Python!" -- Tim Peters on comp.lang.python, 2001-06-16 If you violate these conventions, the worst you'll get is some dirty looks. But some software (such as the Docutils_ docstring processing system [1]_ [2]_) will be aware of the conventions, so following them will get you the best results. Specification ============= What is a Docstring? -------------------- A docstring is a string literal that occurs as the first statement in a module, function, class, or method definition. Such a docstring becomes the ``__doc__`` special attribute of that object. All modules should normally have docstrings, and all functions and classes exported by a module should also have docstrings. Public methods (including the ``__init__`` constructor) should also have docstrings. A package may be documented in the module docstring of the ``__init__.py`` file in the package directory. String literals occurring elsewhere in Python code may also act as documentation. They are not recognized by the Python bytecode compiler and are not accessible as runtime object attributes (i.e. not assigned to ``__doc__``), but two types of extra docstrings may be extracted by software tools: 1. String literals occurring immediately after a simple assignment at the top level of a module, class, or ``__init__`` method are called "attribute docstrings". 2. String literals occurring immediately after another docstring are called "additional docstrings". Please see PEP 258, "Docutils Design Specification" [2]_, for a detailed description of attribute and additional docstrings. XXX Mention docstrings of 2.2 properties. For consistency, always use ``"""triple double quotes"""`` around docstrings. Use ``r"""raw triple double quotes"""`` if you use any backslashes in your docstrings. For Unicode docstrings, use ``u"""Unicode triple-quoted strings"""``. There are two forms of docstrings: one-liners and multi-line docstrings. One-line Docstrings -------------------- One-liners are for really obvious cases. They should really fit on one line. For example:: def kos_root(): """Return the pathname of the KOS root directory.""" global _kos_root if _kos_root: return _kos_root ... Notes: - Triple quotes are used even though the string fits on one line. This makes it easy to later expand it. - The closing quotes are on the same line as the opening quotes. This looks better for one-liners. - There's no blank line either before or after the docstring. - The docstring is a phrase ending in a period. It prescribes the function or method's effect as a command ("Do this", "Return that"), not as a description; e.g. don't write "Returns the pathname ...". - The one-line docstring should NOT be a "signature" reiterating the function/method parameters (which can be obtained by introspection). Don't do:: def function(a, b): """function(a, b) -> list""" This type of docstring is only appropriate for C functions (such as built-ins), where introspection is not possible. However, the nature of the *return value* cannot be determined by introspection, so it should be mentioned. The preferred form for such a docstring would be something like:: def function(a, b): """Do X and return a list.""" (Of course "Do X" should be replaced by a useful description!) Multi-line Docstrings ---------------------- Multi-line docstrings consist of a summary line just like a one-line docstring, followed by a blank line, followed by a more elaborate description. The summary line may be used by automatic indexing tools; it is important that it fits on one line and is separated from the rest of the docstring by a blank line. The summary line may be on the same line as the opening quotes or on the next line. The entire docstring is indented the same as the quotes at its first line (see example below). Insert a blank line before and after all docstrings (one-line or multi-line) that document a class -- generally speaking, the class's methods are separated from each other by a single blank line, and the docstring needs to be offset from the first method by a blank line; for symmetry, put a blank line between the class header and the docstring. Docstrings documenting functions or methods generally don't have this requirement, unless the function or method's body is written as a number of blank-line separated sections -- in this case, treat the docstring as another section, and precede it with a blank line. The docstring of a script (a stand-alone program) should be usable as its "usage" message, printed when the script is invoked with incorrect or missing arguments (or perhaps with a "-h" option, for "help"). Such a docstring should document the script's function and command line syntax, environment variables, and files. Usage messages can be fairly elaborate (several screens full) and should be sufficient for a new user to use the command properly, as well as a complete quick reference to all options and arguments for the sophisticated user. The docstring for a module should generally list the classes, exceptions and functions (and any other objects) that are exported by the module, with a one-line summary of each. (These summaries generally give less detail than the summary line in the object's docstring.) The docstring for a package (i.e., the docstring of the package's ``__init__.py`` module) should also list the modules and subpackages exported by the package. The docstring for a function or method should summarize its behavior and document its arguments, return value(s), side effects, exceptions raised, and restrictions on when it can be called (all if applicable). Optional arguments should be indicated. It should be documented whether keyword arguments are part of the interface. The docstring for a class should summarize its behavior and list the public methods and instance variables. If the class is intended to be subclassed, and has an additional interface for subclasses, this interface should be listed separately (in the docstring). The class constructor should be documented in the docstring for its ``__init__`` method. Individual methods should be documented by their own docstring. If a class subclasses another class and its behavior is mostly inherited from that class, its docstring should mention this and summarize the differences. Use the verb "override" to indicate that a subclass method replaces a superclass method and does not call the superclass method; use the verb "extend" to indicate that a subclass method calls the superclass method (in addition to its own behavior). *Do not* use the Emacs convention of mentioning the arguments of functions or methods in upper case in running text. Python is case sensitive and the argument names can be used for keyword arguments, so the docstring should document the correct argument names. It is best to list each argument on a separate line. For example:: def complex(real=0.0, imag=0.0): """Form a complex number. Keyword arguments: real -- the real part (default 0.0) imag -- the imaginary part (default 0.0) """ if imag == 0.0 and real == 0.0: return complex_zero ... The BDFL [3]_ recommends inserting a blank line between the last paragraph in a multi-line docstring and its closing quotes, placing the closing quotes on a line by themselves. This way, Emacs' ``fill-paragraph`` command can be used on it. Handling Docstring Indentation ------------------------------ Docstring processing tools will strip a uniform amount of indentation from the second and further lines of the docstring, equal to the minimum indentation of all non-blank lines after the first line. Any indentation in the first line of the docstring (i.e., up to the first newline) is insignificant and removed. Relative indentation of later lines in the docstring is retained. Blank lines should be removed from the beginning and end of the docstring. Since code is much more precise than words, here is an implementation of the algorithm:: def trim(docstring): if not docstring: return '' # Convert tabs to spaces (following the normal Python rules) # and split into a list of lines: lines = docstring.expandtabs().splitlines() # Determine minimum indentation (first line doesn't count): indent = sys.maxint for line in lines[1:]: stripped = line.lstrip() if stripped: indent = min(indent, len(line) - len(stripped)) # Remove indentation (first line is special): trimmed = [lines[0].strip()] if indent < sys.maxint: for line in lines[1:]: trimmed.append(line[indent:].rstrip()) # Strip off trailing and leading blank lines: while trimmed and not trimmed[-1]: trimmed.pop() while trimmed and not trimmed[0]: trimmed.pop(0) # Return a single string: return '\n'.join(trimmed) The docstring in this example contains two newline characters and is therefore 3 lines long. The first and last lines are blank:: def foo(): """ This is the second line of the docstring. """ To illustrate:: >>> print repr(foo.__doc__) '\n This is the second line of the docstring.\n ' >>> foo.__doc__.splitlines() ['', ' This is the second line of the docstring.', ' '] >>> trim(foo.__doc__) 'This is the second line of the docstring.' Once trimmed, these docstrings are equivalent:: def foo(): """A multi-line docstring. """ def bar(): """ A multi-line docstring. """ References and Footnotes ======================== .. [1] PEP 256, Docstring Processing System Framework, Goodger (http://www.python.org/peps/pep-0256.html) .. [2] PEP 258, Docutils Design Specification, Goodger (http://www.python.org/peps/pep-0258.html) .. [3] Guido van Rossum, Python's creator and Benevolent Dictator For Life. .. _Docutils: https://docutils.sourceforge.io/ .. _Python Style Guide: http://www.python.org/doc/essays/styleguide.html .. _Doc-SIG: http://www.python.org/sigs/doc-sig/ Copyright ========= This document has been placed in the public domain. Acknowledgements ================ The "Specification" text comes mostly verbatim from the `Python Style Guide`_ essay by Guido van Rossum. This document borrows ideas from the archives of the Python Doc-SIG_. Thanks to all members past and present. .. Local Variables: mode: indented-text indent-tabs-mode: nil fill-column: 70 sentence-end-double-space: t End: ��������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/peps/pep-0258.txt����0000664�0000000�0000000�00000107057�15141625651�0032524�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������PEP: 258 Title: Docutils Design Specification Version: $Revision$ Last-Modified: $Date$ Author: David Goodger <goodger@python.org> Discussions-To: <doc-sig@python.org> Status: Rejected Type: Standards Track Content-Type: text/x-rst Requires: 256, 257 Created: 31-May-2001 Post-History: 13-Jun-2001 ================ Rejection Notice ================ While this may serve as an interesting design document for the now-independent docutils, it is no longer slated for inclusion in the standard library. ========== Abstract ========== This PEP documents design issues and implementation details for Docutils, a Python Docstring Processing System (DPS). The rationale and high-level concepts of a DPS are documented in PEP 256, "Docstring Processing System Framework" [#PEP-256]_. Also see PEP 256 for a "Road Map to the Docstring PEPs". Docutils is being designed modularly so that any of its components can be replaced easily. In addition, Docutils is not limited to the processing of Python docstrings; it processes standalone documents as well, in several contexts. No changes to the core Python language are required by this PEP. Its deliverables consist of a package for the standard library and its documentation. =============== Specification =============== Docutils Project Model ====================== Project components and data flow:: +---------------------------+ | Docutils: | | docutils.core.Publisher, | | docutils.core.publish_*() | +---------------------------+ / | \ / | \ 1,3,5 / 6 | \ 7 +--------+ +-------------+ +--------+ | READER | ----> | TRANSFORMER | ====> | WRITER | +--------+ +-------------+ +--------+ / \\ | / \\ | 2 / 4 \\ 8 | +-------+ +--------+ +--------+ | INPUT | | PARSER | | OUTPUT | +-------+ +--------+ +--------+ The numbers above each component indicate the path a document's data takes. Double-width lines between Reader & Parser and between Transformer & Writer indicate that data sent along these paths should be standard (pure & unextended) Docutils doc trees. Single-width lines signify that internal tree extensions or completely unrelated representations are possible, but they must be supported at both ends. Publisher --------- The ``docutils.core`` module contains a "Publisher" facade class and several convenience functions: "publish_cmdline()" (for command-line front ends), "publish_file()" (for programmatic use with file-like I/O), and "publish_string()" (for programmatic use with string I/O). The Publisher class encapsulates the high-level logic of a Docutils system. The Publisher class has overall responsibility for processing, controlled by the ``Publisher.publish()`` method: 1. Set up internal settings (may include config files & command-line options) and I/O objects. 2. Call the Reader object to read data from the source Input object and parse the data with the Parser object. A document object is returned. 3. Set up and apply transforms via the Transformer object attached to the document. 4. Call the Writer object which translates the document to the final output format and writes the formatted data to the destination Output object. Depending on the Output object, the output may be returned from the Writer, and then from the ``publish()`` method. Calling the "publish" function (or instantiating a "Publisher" object) with component names will result in default behavior. For custom behavior (customizing component settings), create custom component objects first, and pass *them* to the Publisher or ``publish_*`` convenience functions. Readers ------- Readers understand the input context (where the data is coming from), send the whole input or discrete "chunks" to the parser, and provide the context to bind the chunks together back into a cohesive whole. Each reader is a module or package exporting a "Reader" class with a "read" method. The base "Reader" class can be found in the ``docutils/readers/__init__.py`` module. Most Readers will have to be told what parser to use. So far (see the list of examples below), only the Python Source Reader ("PySource"; still incomplete) will be able to determine the parser on its own. Responsibilities: * Get input text from the source I/O. * Pass the input text to the parser, along with a fresh `document tree`_ root. Examples: * Standalone (Raw/Plain): Just read a text file and process it. The reader needs to be told which parser to use. The "Standalone Reader" has been implemented in module ``docutils.readers.standalone``. * Python Source: See `Python Source Reader`_ below. This Reader is currently in development in the Docutils sandbox. * Email: RFC-822 headers, quoted excerpts, signatures, MIME parts. * PEP: RFC-822 headers, "PEP xxxx" and "RFC xxxx" conversion to URIs. The "PEP Reader" has been implemented in module ``docutils.readers.pep``; see PEP 287 and PEP 12. * Wiki: Global reference lookups of "wiki links" incorporated into transforms. (CamelCase only or unrestricted?) Lazy indentation? * Web Page: As standalone, but recognize meta fields as meta tags. Support for templates of some sort? (After ``<body>``, before ``</body>``?) * FAQ: Structured "question & answer(s)" constructs. * Compound document: Merge chapters into a book. Master manifest file? Parsers ------- Parsers analyze their input and produce a Docutils `document tree`_. They don't know or care anything about the source or destination of the data. Each input parser is a module or package exporting a "Parser" class with a "parse" method. The base "Parser" class can be found in the ``docutils/parsers/__init__.py`` module. Responsibilities: Given raw input text and a doctree root node, populate the doctree by parsing the input text. Example: The only parser implemented so far is for the reStructuredText markup. It is implemented in the ``docutils/parsers/rst/`` package. The development and integration of other parsers is possible and encouraged. .. _transforms: Transformer ----------- The Transformer class, in ``docutils/transforms/__init__.py``, stores transforms and applies them to documents. A transformer object is attached to every new document tree. The Publisher_ calls ``Transformer.apply_transforms()`` to apply all stored transforms to the document tree. Transforms change the document tree from one form to another, add to the tree, or prune it. Transforms resolve references and footnote numbers, process interpreted text, and do other context-sensitive processing. Some transforms are specific to components (Readers, Parser, Writers, Input, Output). Standard component-specific transforms are specified in the ``default_transforms`` attribute of component classes. After the Reader has finished processing, the Publisher_ calls ``Transformer.populate_from_components()`` with a list of components and all default transforms are stored. Each transform is a class in a module in the ``docutils/transforms/`` package, a subclass of ``docutils.tranforms.Transform``. Transform classes each have a ``default_priority`` attribute which is used by the Transformer to apply transforms in order (low to high). The default priority can be overridden when adding transforms to the Transformer object. Transformer responsibilities: * Apply transforms to the document tree, in priority order. * Store a mapping of component type name ('reader', 'writer', etc.) to component objects. These are used by certain transforms (such as "components.Filter") to determine suitability. Transform responsibilities: * Modify a doctree in-place, either purely transforming one structure into another, or adding new structures based on the doctree and/or external data. Examples of transforms (in the ``docutils/transforms/`` package): * frontmatter.DocInfo: Conversion of document metadata (bibliographic information). * references.AnonymousHyperlinks: Resolution of anonymous references to corresponding targets. * parts.Contents: Generates a table of contents for a document. * document.Merger: Combining multiple populated doctrees into one. (Not yet implemented or fully understood.) * document.Splitter: Splits a document into a tree-structure of subdocuments, perhaps by section. It will have to transform references appropriately. (Neither implemented not remotely understood.) * components.Filter: Includes or excludes elements which depend on a specific Docutils component. Writers ------- Writers produce the final output (HTML, XML, TeX, etc.). Writers translate the internal `document tree`_ structure into the final data format, possibly running Writer-specific transforms_ first. By the time the document gets to the Writer, it should be in final form. The Writer's job is simply (and only) to translate from the Docutils doctree structure to the target format. Some small transforms may be required, but they should be local and format-specific. Each writer is a module or package exporting a "Writer" class with a "write" method. The base "Writer" class can be found in the ``docutils/writers/__init__.py`` module. Responsibilities: * Translate doctree(s) into specific output formats. - Transform references into format-native forms. * Write the translated output to the destination I/O. Examples: * XML: Various forms, such as: - Docutils XML (an expression of the internal document tree, implemented as ``docutils.writers.docutils_xml``). - DocBook (being implemented in the Docutils sandbox). * HTML (XHTML 1.4 transitional implemented as ``docutils.writers.html4css1``). * PDF (a ReportLabs interface is being developed in the Docutils sandbox). * LaTeX (implemented as ``docutils.writers.latex2e``). * Docutils-native pseudo-XML (implemented as ``docutils.writers.pseudoxml``, used for testing). * Plain text * reStructuredText? Input/Output ------------ I/O classes provide a uniform API for low-level input and output. Subclasses will exist for a variety of input/output mechanisms. However, they can be considered an implementation detail. Most applications should be satisfied using one of the convenience functions associated with the Publisher_. I/O classes are currently in the preliminary stages; there's a lot of work yet to be done. Issues: * How to represent multi-file input (files & directories) in the API? * How to represent multi-file output? Perhaps "Writer" variants, one for each output distribution type? Or Output objects with associated transforms? Responsibilities: * Read data from the input source (Input objects) or write data to the output destination (Output objects). Examples of input sources: * A single file on disk or a stream (implemented as ``docutils.io.FileInput``). * Multiple files on disk (``MultiFileInput``?). * Python source files: modules and packages. * Python strings, as received from a client application (implemented as ``docutils.io.StringInput``). Examples of output destinations: * A single file on disk or a stream (implemented as ``docutils.io.FileOutput``). * A tree of directories and files on disk. * A Python string, returned to a client application (implemented as ``docutils.io.StringOutput``). * No output; useful for programmatic applications where only a portion of the normal output is to be used (implemented as ``docutils.io.NullOutput``). * A single tree-shaped data structure in memory. * Some other set of data structures in memory. Docutils Package Structure ========================== * Package "docutils". - Module "__init__.py" contains: class "Component", a base class for Docutils components; class "SettingsSpec", a base class for specifying runtime settings (used by docutils.frontend); and class "TransformSpec", a base class for specifying transforms. - Module "docutils.core" contains facade class "Publisher" and convenience functions. See `Publisher`_ above. - Module "docutils.frontend" provides runtime settings support, for programmatic use and front-end tools (including configuration file support, and command-line argument and option processing). - Module "docutils.io" provides a uniform API for low-level input and output. See `Input/Output`_ above. - Module "docutils.nodes" contains the Docutils document tree element class library plus tree-traversal Visitor pattern base classes. See `Document Tree`_ below. - Module "docutils.statemachine" contains a finite state machine specialized for regular-expression-based text filters and parsers. The reStructuredText parser implementation is based on this module. - Module "docutils.urischemes" contains a mapping of known URI schemes ("http", "ftp", "mail", etc.). - Module "docutils.utils" contains utility functions and classes, including a logger class ("Reporter"; see `Error Handling`_ below). - Package "docutils.parsers": markup parsers_. - Function "get_parser_class(parser_name)" returns a parser module by name. Class "Parser" is the base class of specific parsers. (``docutils/parsers/__init__.py``) - Package "docutils.parsers.rst": the reStructuredText parser. - Alternate markup parsers may be added. See `Parsers`_ above. - Package "docutils.readers": context-aware input readers. - Function "get_reader_class(reader_name)" returns a reader module by name or alias. Class "Reader" is the base class of specific readers. (``docutils/readers/__init__.py``) - Module "docutils.readers.standalone" reads independent document files. - Module "docutils.readers.pep" reads PEPs (Python Enhancement Proposals). - Module "docutils.readers.doctree" is used to re-read a previously stored document tree for reprocessing. - Readers to be added for: Python source code (structure & docstrings), email, FAQ, and perhaps Wiki and others. See `Readers`_ above. - Package "docutils.writers": output format writers. - Function "get_writer_class(writer_name)" returns a writer module by name. Class "Writer" is the base class of specific writers. (``docutils/writers/__init__.py``) - Package "docutils.writers.html4css1" is a simple HyperText Markup Language document tree writer for HTML 4.01 and CSS1. - Package "docutils.writers.pep_html" generates HTML from reStructuredText PEPs. - Package "docutils.writers.s5_html" generates S5/HTML slide shows. - Package "docutils.writers.latex2e" writes LaTeX. - Package "docutils.writers.newlatex2e" also writes LaTeX; it is a new implementation. - Module "docutils.writers.docutils_xml" writes the internal document tree in XML form. - Module "docutils.writers.pseudoxml" is a simple internal document tree writer; it writes indented pseudo-XML. - Module "docutils.writers.null" is a do-nothing writer; it is used for specialized purposes such as storing the internal document tree. - Writers to be added: HTML 3.2 or 4.01-loose, XML (various forms, such as DocBook), PDF, plaintext, reStructuredText, and perhaps others. Subpackages of "docutils.writers" contain modules and data files (such as stylesheets) that support the individual writers. See `Writers`_ above. - Package "docutils.transforms": tree transform classes. - Class "Transformer" stores transforms and applies them to document trees. (``docutils/transforms/__init__.py``) - Class "Transform" is the base class of specific transforms. (``docutils/transforms/__init__.py``) - Each module contains related transform classes. See `Transforms`_ above. - Package "docutils.languages": Language modules contain language-dependent strings and mappings. They are named for their language identifier (as defined in `Choice of Docstring Format`_ below), converting dashes to underscores. - Function "get_language(language_code)", returns matching language module. (``docutils/languages/__init__.py``) - Modules: en.py (English), de.py (German), fr.py (French), it.py (Italian), sk.py (Slovak), sv.py (Swedish). - Other languages to be added. * Third-party modules: "extras" directory. These modules are installed only if they're not already present in the Python installation. - ``extras/roman.py`` contains Roman numeral conversion routines. Front-End Tools =============== The ``tools/`` directory contains several front ends for common Docutils processing. See `Docutils Front-End Tools`_ for details. .. _Docutils Front-End Tools: https://docutils.sourceforge.io/docs/user/tools.html Document Tree ============= A single intermediate data structure is used internally by Docutils, in the interfaces between components; it is defined in the ``docutils.nodes`` module. It is not required that this data structure be used *internally* by any of the components, just *between* components as outlined in the diagram in the `Docutils Project Model`_ above. Custom node types are allowed, provided that either (a) a transform converts them to standard Docutils nodes before they reach the Writer proper, or (b) the custom node is explicitly supported by certain Writers, and is wrapped in a filtered "pending" node. An example of condition (a) is the `Python Source Reader`_ (see below), where a "stylist" transform converts custom nodes. The HTML ``<meta>`` tag is an example of condition (b); it is supported by the HTML Writer but not by others. The reStructuredText "meta" directive creates a "pending" node, which contains knowledge that the embedded "meta" node can only be handled by HTML-compatible writers. The "pending" node is resolved by the ``docutils.transforms.components.Filter`` transform, which checks that the calling writer supports HTML; if it doesn't, the "pending" node (and enclosed "meta" node) is removed from the document. The document tree data structure is similar to a DOM tree, but with specific node names (classes) instead of DOM's generic nodes. The schema is documented in an XML DTD (eXtensible Markup Language Document Type Definition), which comes in two parts: * the Docutils Generic DTD, docutils.dtd_, and * the OASIS Exchange Table Model, soextbl.dtd_. The DTD defines a rich set of elements, suitable for many input and output formats. The DTD retains all information necessary to reconstruct the original input text, or a reasonable facsimile thereof. See `The Docutils Document Tree`_ for details (incomplete). Error Handling ============== When the parser encounters an error in markup, it inserts a system message (DTD element "system_message"). There are five levels of system messages: * Level-0, "DEBUG": an internal reporting issue. There is no effect on the processing. Level-0 system messages are handled separately from the others. * Level-1, "INFO": a minor issue that can be ignored. There is little or no effect on the processing. Typically level-1 system messages are not reported. * Level-2, "WARNING": an issue that should be addressed. If ignored, there may be minor problems with the output. Typically level-2 system messages are reported but do not halt processing. * Level-3, "ERROR": a major issue that should be addressed. If ignored, the output will contain unpredictable errors. Typically level-3 system messages are reported but do not halt processing. * Level-4, "SEVERE": a critical error that must be addressed. Typically level-4 system messages are turned into exceptions which do halt processing. If ignored, the output will contain severe errors. Although the initial message levels were devised independently, they have a strong correspondence to `VMS error condition severity levels`_; the names in quotes for levels 1 through 4 were borrowed from VMS. Error handling has since been influenced by the `log4j project`_. Python Source Reader ==================== The Python Source Reader ("PySource") is the Docutils component that reads Python source files, extracts docstrings in context, then parses, links, and assembles the docstrings into a cohesive whole. It is a major and non-trivial component, currently under experimental development in the Docutils sandbox. High-level design issues are presented here. Processing Model ---------------- This model will evolve over time, incorporating experience and discoveries. 1. The PySource Reader uses an Input class to read in Python packages and modules, into a tree of strings. 2. The Python modules are parsed, converting the tree of strings into a tree of abstract syntax trees with docstring nodes. 3. The abstract syntax trees are converted into an internal representation of the packages/modules. Docstrings are extracted, as well as code structure details. See `AST Mining`_ below. Namespaces are constructed for lookup in step 6. 4. One at a time, the docstrings are parsed, producing standard Docutils doctrees. 5. PySource assembles all the individual docstrings' doctrees into a Python-specific custom Docutils tree paralleling the package/module/class structure; this is a custom Reader-specific internal representation (see the `Docutils Python Source DTD`_). Namespaces must be merged: Python identifiers, hyperlink targets. 6. Cross-references from docstrings (interpreted text) to Python identifiers are resolved according to the Python namespace lookup rules. See `Identifier Cross-References`_ below. 7. A "Stylist" transform is applied to the custom doctree (by the Transformer_), custom nodes are rendered using standard nodes as primitives, and a standard document tree is emitted. See `Stylist Transforms`_ below. 8. Other transforms are applied to the standard doctree by the Transformer_. 9. The standard doctree is sent to a Writer, which translates the document into a concrete format (HTML, PDF, etc.). 10. The Writer uses an Output class to write the resulting data to its destination (disk file, directories and files, etc.). AST Mining ---------- Abstract Syntax Tree mining code will be written (or adapted) that scans a parsed Python module, and returns an ordered tree containing the names, docstrings (including attribute and additional docstrings; see below), and additional info (in parentheses below) of all of the following objects: * packages * modules * module attributes (+ initial values) * classes (+ inheritance) * class attributes (+ initial values) * instance attributes (+ initial values) * methods (+ parameters & defaults) * functions (+ parameters & defaults) (Extract comments too? For example, comments at the start of a module would be a good place for bibliographic field lists.) In order to evaluate interpreted text cross-references, namespaces for each of the above will also be required. See the python-dev/docstring-develop thread "AST mining", started on 2001-08-14. Docstring Extraction Rules -------------------------- 1. What to examine: a) If the "``__all__``" variable is present in the module being documented, only identifiers listed in "``__all__``" are examined for docstrings. b) In the absence of "``__all__``", all identifiers are examined, except those whose names are private (names begin with "_" but don't begin and end with "__"). c) 1a and 1b can be overridden by runtime settings. 2. Where: Docstrings are string literal expressions, and are recognized in the following places within Python modules: a) At the beginning of a module, function definition, class definition, or method definition, after any comments. This is the standard for Python ``__doc__`` attributes. b) Immediately following a simple assignment at the top level of a module, class definition, or ``__init__`` method definition, after any comments. See `Attribute Docstrings`_ below. c) Additional string literals found immediately after the docstrings in (a) and (b) will be recognized, extracted, and concatenated. See `Additional Docstrings`_ below. d) @@@ 2.2-style "properties" with attribute docstrings? Wait for syntax? 3. How: Whenever possible, Python modules should be parsed by Docutils, not imported. There are several reasons: - Importing untrusted code is inherently insecure. - Information from the source is lost when using introspection to examine an imported module, such as comments and the order of definitions. - Docstrings are to be recognized in places where the byte-code compiler ignores string literal expressions (2b and 2c above), meaning importing the module will lose these docstrings. Of course, standard Python parsing tools such as the "parser" library module should be used. When the Python source code for a module is not available (i.e. only the ``.pyc`` file exists) or for C extension modules, to access docstrings the module can only be imported, and any limitations must be lived with. Since attribute docstrings and additional docstrings are ignored by the Python byte-code compiler, no namespace pollution or runtime bloat will result from their use. They are not assigned to ``__doc__`` or to any other attribute. The initial parsing of a module may take a slight performance hit. Attribute Docstrings '''''''''''''''''''' (This is a simplified version of PEP 224 [#PEP-224]_.) A string literal immediately following an assignment statement is interpreted by the docstring extraction machinery as the docstring of the target of the assignment statement, under the following conditions: 1. The assignment must be in one of the following contexts: a) At the top level of a module (i.e., not nested inside a compound statement such as a loop or conditional): a module attribute. b) At the top level of a class definition: a class attribute. c) At the top level of the "``__init__``" method definition of a class: an instance attribute. Instance attributes assigned in other methods are assumed to be implementation details. (@@@ ``__new__`` methods?) d) A function attribute assignment at the top level of a module or class definition. Since each of the above contexts are at the top level (i.e., in the outermost suite of a definition), it may be necessary to place dummy assignments for attributes assigned conditionally or in a loop. 2. The assignment must be to a single target, not to a list or a tuple of targets. 3. The form of the target: a) For contexts 1a and 1b above, the target must be a simple identifier (not a dotted identifier, a subscripted expression, or a sliced expression). b) For context 1c above, the target must be of the form "``self.attrib``", where "``self``" matches the "``__init__``" method's first parameter (the instance parameter) and "attrib" is a simple identifier as in 3a. c) For context 1d above, the target must be of the form "``name.attrib``", where "``name``" matches an already-defined function or method name and "attrib" is a simple identifier as in 3a. Blank lines may be used after attribute docstrings to emphasize the connection between the assignment and the docstring. Examples:: g = 'module attribute (module-global variable)' """This is g's docstring.""" class AClass: c = 'class attribute' """This is AClass.c's docstring.""" def __init__(self): """Method __init__'s docstring.""" self.i = 'instance attribute' """This is self.i's docstring.""" def f(x): """Function f's docstring.""" return x**2 f.a = 1 """Function attribute f.a's docstring.""" Additional Docstrings ''''''''''''''''''''' (This idea was adapted from PEP 216 [#PEP-216]_.) Many programmers would like to make extensive use of docstrings for API documentation. However, docstrings do take up space in the running program, so some programmers are reluctant to "bloat up" their code. Also, not all API documentation is applicable to interactive environments, where ``__doc__`` would be displayed. Docutils' docstring extraction tools will concatenate all string literal expressions which appear at the beginning of a definition or after a simple assignment. Only the first strings in definitions will be available as ``__doc__``, and can be used for brief usage text suitable for interactive sessions; subsequent string literals and all attribute docstrings are ignored by the Python byte-code compiler and may contain more extensive API information. Example:: def function(arg): """This is __doc__, function's docstring.""" """ This is an additional docstring, ignored by the byte-code compiler, but extracted by Docutils. """ pass .. topic:: Issue: ``from __future__ import`` This would break "``from __future__ import``" statements introduced in Python 2.1 for multiple module docstrings (main docstring plus additional docstring(s)). The Python Reference Manual specifies: A future statement must appear near the top of the module. The only lines that can appear before a future statement are: * the module docstring (if any), * comments, * blank lines, and * other future statements. Resolution? 1. Should we search for docstrings after a ``__future__`` statement? Very ugly. 2. Redefine ``__future__`` statements to allow multiple preceding string literals? 3. Or should we not even worry about this? There probably shouldn't be ``__future__`` statements in production code, after all. Perhaps modules with ``__future__`` statements will simply have to put up with the single-docstring limitation. Choice of Docstring Format -------------------------- Rather than force everyone to use a single docstring format, multiple input formats are allowed by the processing system. A special variable, ``__docformat__``, may appear at the top level of a module before any function or class definitions. Over time or through decree, a standard format or set of formats should emerge. A module's ``__docformat__`` variable only applies to the objects defined in the module's file. In particular, the ``__docformat__`` variable in a package's ``__init__.py`` file does not apply to objects defined in subpackages and submodules. The ``__docformat__`` variable is a string containing the name of the format being used, a case-insensitive string matching the input parser's module or package name (i.e., the same name as required to "import" the module or package), or a registered alias. If no ``__docformat__`` is specified, the default format is "plaintext" for now; this may be changed to the standard format if one is ever established. The ``__docformat__`` string may contain an optional second field, separated from the format name (first field) by a single space: a case-insensitive language identifier as defined in RFC 1766. A typical language identifier consists of a 2-letter language code from `ISO 639`_ (3-letter codes used only if no 2-letter code exists; RFC 1766 is currently being revised to allow 3-letter codes). If no language identifier is specified, the default is "en" for English. The language identifier is passed to the parser and can be used for language-dependent markup features. Identifier Cross-References --------------------------- In Python docstrings, interpreted text is used to classify and mark up program identifiers, such as the names of variables, functions, classes, and modules. If the identifier alone is given, its role is inferred implicitly according to the Python namespace lookup rules. For functions and methods (even when dynamically assigned), parentheses ('()') may be included:: This function uses `another()` to do its work. For class, instance and module attributes, dotted identifiers are used when necessary. For example (using reStructuredText markup):: class Keeper(Storer): """ Extend `Storer`. Class attribute `instances` keeps track of the number of `Keeper` objects instantiated. """ instances = 0 """How many `Keeper` objects are there?""" def __init__(self): """ Extend `Storer.__init__()` to keep track of instances. Keep count in `Keeper.instances`, data in `self.data`. """ Storer.__init__(self) Keeper.instances += 1 self.data = [] """Store data in a list, most recent last.""" def store_data(self, data): """ Extend `Storer.store_data()`; append new `data` to a list (in `self.data`). """ self.data = data Each of the identifiers quoted with backquotes ("`") will become references to the definitions of the identifiers themselves. Stylist Transforms ------------------ Stylist transforms are specialized transforms specific to the PySource Reader. The PySource Reader doesn't have to make any decisions as to style; it just produces a logically constructed document tree, parsed and linked, including custom node types. Stylist transforms understand the custom nodes created by the Reader and convert them into standard Docutils nodes. Multiple Stylist transforms may be implemented and one can be chosen at runtime (through a "--style" or "--stylist" command-line option). Each Stylist transform implements a different layout or style; thus the name. They decouple the context-understanding part of the Reader from the layout-generating part of processing, resulting in a more flexible and robust system. This also serves to "separate style from content", the SGML/XML ideal. By keeping the piece of code that does the styling small and modular, it becomes much easier for people to roll their own styles. The "barrier to entry" is too high with existing tools; extracting the stylist code will lower the barrier considerably. ========================== References and Footnotes ========================== .. [#PEP-256] PEP 256, Docstring Processing System Framework, Goodger (http://www.python.org/peps/pep-0256.html) .. [#PEP-224] PEP 224, Attribute Docstrings, Lemburg (http://www.python.org/peps/pep-0224.html) .. [#PEP-216] PEP 216, Docstring Format, Zadka (http://www.python.org/peps/pep-0216.html) .. _docutils.dtd: https://docutils.sourceforge.io/docs/ref/docutils.dtd .. _soextbl.dtd: https://docutils.sourceforge.io/docs/ref/soextblx.dtd .. _The Docutils Document Tree: https://docutils.sourceforge.io/docs/ref/doctree.html .. _VMS error condition severity levels: http://www.openvms.compaq.com:8000/73final/5841/841pro_027.html #error_cond_severity .. _log4j project: http://logging.apache.org/log4j/docs/index.html .. _Docutils Python Source DTD: https://docutils.sourceforge.io/docs/dev/pysource.dtd .. _ISO 639: http://www.loc.gov/standards/iso639-2/englangn.html .. _Python Doc-SIG: http://www.python.org/sigs/doc-sig/ ================== Project Web Site ================== A SourceForge project has been set up for this work at https://docutils.sourceforge.io/. =========== Copyright =========== This document has been placed in the public domain. ================== Acknowledgements ================== This document borrows ideas from the archives of the `Python Doc-SIG`_. Thanks to all members past & present. .. Local Variables: mode: indented-text indent-tabs-mode: nil sentence-end-double-space: t fill-column: 70 End: ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/peps/pep-0287.txt����0000664�0000000�0000000�00000077437�15141625651�0032536�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������PEP: 287 Title: reStructuredText Docstring Format Version: $Revision$ Last-Modified: $Date$ Author: David Goodger <goodger@python.org> Discussions-To: <doc-sig@python.org> Status: Draft Type: Informational Content-Type: text/x-rst Created: 25-Mar-2002 Post-History: 02-Apr-2002 Replaces: 216 Abstract ======== When plaintext hasn't been expressive enough for inline documentation, Python programmers have sought out a format for docstrings. This PEP proposes that the `reStructuredText markup`_ be adopted as a standard markup format for structured plaintext documentation in Python docstrings, and for PEPs and ancillary documents as well. reStructuredText is a rich and extensible yet easy-to-read, what-you-see-is-what-you-get plaintext markup syntax. Only the low-level syntax of docstrings is addressed here. This PEP is not concerned with docstring semantics or processing at all (see PEP 256 for a "Road Map to the Docstring PEPs"). Nor is it an attempt to deprecate pure plaintext docstrings, which are always going to be legitimate. The reStructuredText markup is an alternative for those who want more expressive docstrings. Benefits ======== Programmers are by nature a lazy breed. We reuse code with functions, classes, modules, and subsystems. Through its docstring syntax, Python allows us to document our code from within. The "holy grail" of the Python Documentation Special Interest Group (Doc-SIG_) has been a markup syntax and toolset to allow auto-documentation, where the docstrings of Python systems can be extracted in context and processed into useful, high-quality documentation for multiple purposes. Document markup languages have three groups of customers: the authors who write the documents, the software systems that process the data, and the readers, who are the final consumers and the most important group. Most markups are designed for the authors and software systems; readers are only meant to see the processed form, either on paper or via browser software. ReStructuredText is different: it is intended to be easily readable in source form, without prior knowledge of the markup. ReStructuredText is entirely readable in plaintext format, and many of the markup forms match common usage (e.g., ``*emphasis*``), so it reads quite naturally. Yet it is rich enough to produce complex documents, and extensible so that there are few limits. Of course, to write reStructuredText documents some prior knowledge is required. The markup offers functionality and expressivity, while maintaining easy readability in the source text. The processed form (HTML etc.) makes it all accessible to readers: inline live hyperlinks; live links to and from footnotes; automatic tables of contents (with live links!); tables; images for diagrams etc.; pleasant, readable styled text. The reStructuredText parser is available now, part of the Docutils_ project. Standalone reStructuredText documents and PEPs can be converted to HTML; other output format writers are being worked on and will become available over time. Work is progressing on a Python source "Reader" which will implement auto-documentation from docstrings. Authors of existing auto-documentation tools are encouraged to integrate the reStructuredText parser into their projects, or better yet, to join forces to produce a world-class toolset for the Python standard library. Tools will become available in the near future, which will allow programmers to generate HTML for online help, XML for multiple purposes, and eventually PDF, DocBook, and LaTeX for printed documentation, essentially "for free" from the existing docstrings. The adoption of a standard will, at the very least, benefit docstring processing tools by preventing further "reinventing the wheel". Eventually PyDoc, the one existing standard auto-documentation tool, could have reStructuredText support added. In the interim it will have no problem with reStructuredText markup, since it treats all docstrings as preformatted plaintext. Goals ===== These are the generally accepted goals for a docstring format, as discussed in the Doc-SIG: 1. It must be readable in source form by the casual observer. 2. It must be easy to type with any standard text editor. 3. It must not need to contain information which can be deduced from parsing the module. 4. It must contain sufficient information (structure) so it can be converted to any reasonable markup format. 5. It must be possible to write a module's entire documentation in docstrings, without feeling hampered by the markup language. reStructuredText meets and exceeds all of these goals, and sets its own goals as well, even more stringent. See `Docstring-Significant Features`_ below. The goals of this PEP are as follows: 1. To establish reStructuredText as a standard structured plaintext format for docstrings (inline documentation of Python modules and packages), PEPs, README-type files and other standalone documents. "Accepted" status will be sought through Python community consensus and eventual BDFL pronouncement. Please note that reStructuredText is being proposed as *a* standard, not *the only* standard. Its use will be entirely optional. Those who don't want to use it need not. 2. To solicit and address any related concerns raised by the Python community. 3. To encourage community support. As long as multiple competing markups are out there, the development community remains fractured. Once a standard exists, people will start to use it, and momentum will inevitably gather. 4. To consolidate efforts from related auto-documentation projects. It is hoped that interested developers will join forces and work on a joint/merged/common implementation. Once reStructuredText is a Python standard, effort can be focused on tools instead of arguing for a standard. Python needs a standard set of documentation tools. With regard to PEPs, one or both of the following strategies may be applied: a) Keep the existing PEP section structure constructs (one-line section headers, indented body text). Subsections can either be forbidden, or supported with reStructuredText-style underlined headers in the indented body text. b) Replace the PEP section structure constructs with the reStructuredText syntax. Section headers will require underlines, subsections will be supported out of the box, and body text need not be indented (except for block quotes). Strategy (b) is recommended, and its implementation is complete. Support for RFC 2822 headers has been added to the reStructuredText parser for PEPs (unambiguous given a specific context: the first contiguous block of the document). It may be desired to concretely specify what over/underline styles are allowed for PEP section headers, for uniformity. Rationale ========= The lack of a standard syntax for docstrings has hampered the development of standard tools for extracting and converting docstrings into documentation in standard formats (e.g., HTML, DocBook, TeX). There have been a number of proposed markup formats and variations, and many tools tied to these proposals, but without a standard docstring format they have failed to gain a strong following and/or floundered half-finished. Throughout the existence of the Doc-SIG, consensus on a single standard docstring format has never been reached. A lightweight, implicit markup has been sought, for the following reasons (among others): 1. Docstrings written within Python code are available from within the interactive interpreter, and can be "print"ed. Thus the use of plaintext for easy readability. 2. Programmers want to add structure to their docstrings, without sacrificing raw docstring readability. Unadorned plaintext cannot be transformed ("up-translated") into useful structured formats. 3. Explicit markup (like XML or TeX) is widely considered unreadable by the uninitiated. 4. Implicit markup is aesthetically compatible with the clean and minimalist Python syntax. Many alternative markups for docstrings have been proposed on the Doc-SIG over the years; a representative sample is listed below. Each is briefly analyzed in terms of the goals stated above. Please note that this is *not* intended to be an exclusive list of all existing markup systems; there are many other markups (Texinfo, Doxygen, TIM, YODL, AFT, ...) which are not mentioned. - XML_, SGML_, DocBook_, HTML_, XHTML_ XML and SGML are explicit, well-formed meta-languages suitable for all kinds of documentation. XML is a variant of SGML. They are best used behind the scenes, because to untrained eyes they are verbose, difficult to type, and too cluttered to read comfortably as source. DocBook, HTML, and XHTML are all applications of SGML and/or XML, and all share the same basic syntax and the same shortcomings. - TeX_ TeX is similar to XML/SGML in that it's explicit, but not very easy to write, and not easy for the uninitiated to read. - `Perl POD`_ Most Perl modules are documented in a format called POD (Plain Old Documentation). This is an easy-to-type, very low level format with strong integration with the Perl parser. Many tools exist to turn POD documentation into other formats: info, HTML and man pages, among others. However, the POD syntax takes after Perl itself in terms of readability. - JavaDoc_ Special comments before Java classes and functions serve to document the code. A program to extract these, and turn them into HTML documentation is called javadoc, and is part of the standard Java distribution. However, JavaDoc has a very intimate relationship with HTML, using HTML tags for most markup. Thus it shares the readability problems of HTML. - Setext_, StructuredText_ Early on, variants of Setext (Structure Enhanced Text), including Zope Corp's StructuredText, were proposed for Python docstring formatting. Hereafter these variants will collectively be called "STexts". STexts have the advantage of being easy to read without special knowledge, and relatively easy to write. Although used by some (including in most existing Python auto-documentation tools), until now STexts have failed to become standard because: - STexts have been incomplete. Lacking "essential" constructs that people want to use in their docstrings, STexts are rendered less than ideal. Note that these "essential" constructs are not universal; everyone has their own requirements. - STexts have been sometimes surprising. Bits of text are unexpectedly interpreted as being marked up, leading to user frustration. - SText implementations have been buggy. - Most STexts have have had no formal specification except for the implementation itself. A buggy implementation meant a buggy spec, and vice-versa. - There has been no mechanism to get around the SText markup rules when a markup character is used in a non-markup context. In other words, no way to escape markup. Proponents of implicit STexts have vigorously opposed proposals for explicit markup (XML, HTML, TeX, POD, etc.), and the debates have continued off and on since 1996 or earlier. reStructuredText is a complete revision and reinterpretation of the SText idea, addressing all of the problems listed above. Specification ============= The specification and user documentaton for reStructuredText is quite extensive. Rather than repeating or summarizing it all here, links to the originals are provided. Please first take a look at `A ReStructuredText Primer`_, a short and gentle introduction. The `Quick reStructuredText`_ user reference quickly summarizes all of the markup constructs. For complete and extensive details, please refer to the following documents: - `An Introduction to reStructuredText`_ - `reStructuredText Markup Specification`_ - `reStructuredText Directives`_ In addition, `Problems With StructuredText`_ explains many markup decisions made with regards to StructuredText, and `A Record of reStructuredText Syntax Alternatives`_ records markup decisions made independently. Docstring-Significant Features ============================== - A markup escaping mechanism. Backslashes (``\``) are used to escape markup characters when needed for non-markup purposes. However, the inline markup recognition rules have been constructed in order to minimize the need for backslash-escapes. For example, although asterisks are used for *emphasis*, in non-markup contexts such as "*" or "(*)" or "x * y", the asterisks are not interpreted as markup and are left unchanged. For many non-markup uses of backslashes (e.g., describing regular expressions), inline literals or literal blocks are applicable; see the next item. - Markup to include Python source code and Python interactive sessions: inline literals, literal blocks, and doctest blocks. Inline literals use ``double-backquotes`` to indicate program I/O or code snippets. No markup interpretation (including backslash-escape [``\``] interpretation) is done within inline literals. Literal blocks (block-level literal text, such as code excerpts or ASCII graphics) are indented, and indicated with a double-colon ("::") at the end of the preceding paragraph (right here -->):: if literal_block: text = 'is left as-is' spaces_and_linebreaks = 'are preserved' markup_processing = None Doctest blocks begin with ">>> " and end with a blank line. Neither indentation nor literal block double-colons are required. For example:: Here's a doctest block: >>> print 'Python-specific usage examples; begun with ">>>"' Python-specific usage examples; begun with ">>>" >>> print '(cut and pasted from interactive sessions)' (cut and pasted from interactive sessions) - Markup that isolates a Python identifier: interpreted text. Text enclosed in single backquotes is recognized as "interpreted text", whose interpretation is application-dependent. In the context of a Python docstring, the default interpretation of interpreted text is as Python identifiers. The text will be marked up with a hyperlink connected to the documentation for the identifier given. Lookup rules are the same as in Python itself: LGB namespace lookups (local, global, builtin). The "role" of the interpreted text (identifying a class, module, function, etc.) is determined implicitly from the namespace lookup. For example:: class Keeper(Storer): """ Keep data fresher longer. Extend `Storer`. Class attribute `instances` keeps track of the number of `Keeper` objects instantiated. """ instances = 0 """How many `Keeper` objects are there?""" def __init__(self): """ Extend `Storer.__init__()` to keep track of instances. Keep count in `self.instances` and data in `self.data`. """ Storer.__init__(self) self.instances += 1 self.data = [] """Store data in a list, most recent last.""" def storedata(self, data): """ Extend `Storer.storedata()`; append new `data` to a list (in `self.data`). """ self.data = data Each piece of interpreted text is looked up according to the local namespace of the block containing its docstring. - Markup that isolates a Python identifier and specifies its type: interpreted text with roles. Although the Python source context reader is designed not to require explicit roles, they may be used. To classify identifiers explicitly, the role is given along with the identifier in either prefix or suffix form:: Use :method:`Keeper.storedata` to store the object's data in `Keeper.data`:instance_attribute:. The syntax chosen for roles is verbose, but necessarily so (if anyone has a better alternative, please post it to the Doc-SIG_). The intention of the markup is that there should be little need to use explicit roles; their use is to be kept to an absolute minimum. - Markup for "tagged lists" or "label lists": field lists. Field lists represent a mapping from field name to field body. These are mostly used for extension syntax, such as "bibliographic field lists" (representing document metadata such as author, date, and version) and extension attributes for directives (see below). They may be used to implement methodologies (docstring semantics), such as identifying parameters, exceptions raised, etc.; such usage is beyond the scope of this PEP. A modified RFC 2822 syntax is used, with a colon *before* as well as *after* the field name. Field bodies are more versatile as well; they may contain multiple field bodies (even nested field lists). For example:: :Date: 2002-03-22 :Version: 1 :Authors: - Me - Myself - I Standard RFC 2822 header syntax cannot be used for this construct because it is ambiguous. A word followed by a colon at the beginning of a line is common in written text. - Markup extensibility: directives and substitutions. Directives are used as an extension mechanism for reStructuredText, a way of adding support for new block-level constructs without adding new syntax. Directives for images, admonitions (note, caution, etc.), and tables of contents generation (among others) have been implemented. For example, here's how to place an image:: .. image:: mylogo.png Substitution definitions allow the power and flexibility of block-level directives to be shared by inline text. For example:: The |biohazard| symbol must be used on containers used to dispose of medical waste. .. |biohazard| image:: biohazard.png - Section structure markup. Section headers in reStructuredText use adornment via underlines (and possibly overlines) rather than indentation. For example:: This is a Section Title ======================= This is a Subsection Title -------------------------- This paragraph is in the subsection. This is Another Section Title ============================= This paragraph is in the second section. Questions & Answers =================== 1. Is reStructuredText rich enough? Yes, it is for most people. If it lacks some construct that is required for a specific application, it can be added via the directive mechanism. If a useful and common construct has been overlooked and a suitably readable syntax can be found, it can be added to the specification and parser. 2. Is reStructuredText *too* rich? For specific applications or individuals, perhaps. In general, no. Since the very beginning, whenever a docstring markup syntax has been proposed on the Doc-SIG_, someone has complained about the lack of support for some construct or other. The reply was often something like, "These are docstrings we're talking about, and docstrings shouldn't have complex markup." The problem is that a construct that seems superfluous to one person may be absolutely essential to another. reStructuredText takes the opposite approach: it provides a rich set of implicit markup constructs (plus a generic extension mechanism for explicit markup), allowing for all kinds of documents. If the set of constructs is too rich for a particular application, the unused constructs can either be removed from the parser (via application-specific overrides) or simply omitted by convention. 3. Why not use indentation for section structure, like StructuredText does? Isn't it more "Pythonic"? Guido van Rossum wrote the following in a 2001-06-13 Doc-SIG post: I still think that using indentation to indicate sectioning is wrong. If you look at how real books and other print publications are laid out, you'll notice that indentation is used frequently, but mostly at the intra-section level. Indentation can be used to offset lists, tables, quotations, examples, and the like. (The argument that docstrings are different because they are input for a text formatter is wrong: the whole point is that they are also readable without processing.) I reject the argument that using indentation is Pythonic: text is not code, and different traditions and conventions hold. People have been presenting text for readability for over 30 centuries. Let's not innovate needlessly. See `Section Structure via Indentation`__ in `Problems With StructuredText`_ for further elaboration. __ https://docutils.sourceforge.io/docs/dev/rst/problems.html #section-structure-via-indentation 4. Why use reStructuredText for PEPs? What's wrong with the existing standard? The existing standard for PEPs is very limited in terms of general expressibility, and referencing is especially lacking for such a reference-rich document type. PEPs are currently converted into HTML, but the results (mostly monospaced text) are less than attractive, and most of the value-added potential of HTML (especially inline hyperlinks) is untapped. Making reStructuredText a standard markup for PEPs will enable much richer expression, including support for section structure, inline markup, graphics, and tables. In several PEPs there are ASCII graphics diagrams, which are all that plaintext documents can support. Since PEPs are made available in HTML form, the ability to include proper diagrams would be immediately useful. Current PEP practices allow for reference markers in the form "[1]" in the text, and the footnotes/references themselves are listed in a section toward the end of the document. There is currently no hyperlinking between the reference marker and the footnote/reference itself (it would be possible to add this to pep2html.py, but the "markup" as it stands is ambiguous and mistakes would be inevitable). A PEP with many references (such as this one ;-) requires a lot of flipping back and forth. When revising a PEP, often new references are added or unused references deleted. It is painful to renumber the references, since it has to be done in two places and can have a cascading effect (insert a single new reference 1, and every other reference has to be renumbered; always adding new references to the end is suboptimal). It is easy for references to go out of sync. PEPs use references for two purposes: simple URL references and footnotes. reStructuredText differentiates between the two. A PEP might contain references like this:: Abstract This PEP proposes adding frungible doodads [1] to the core. It extends PEP 9876 [2] via the BCA [3] mechanism. ... References and Footnotes [1] http://www.example.org/ [2] PEP 9876, Let's Hope We Never Get Here http://www.python.org/peps/pep-9876.html [3] "Bogus Complexity Addition" Reference 1 is a simple URL reference. Reference 2 is a footnote containing text and a URL. Reference 3 is a footnote containing text only. Rewritten using reStructuredText, this PEP could look like this:: Abstract ======== This PEP proposes adding `frungible doodads`_ to the core. It extends PEP 9876 [#pep9876]_ via the BCA [#]_ mechanism. ... References & Footnotes ====================== .. _frungible doodads: http://www.example.org/ .. [#pep9876] PEP 9876, Let's Hope We Never Get Here .. [#] "Bogus Complexity Addition" URLs and footnotes can be defined close to their references if desired, making them easier to read in the source text, and making the PEPs easier to revise. The "References and Footnotes" section can be auto-generated with a document tree transform. Footnotes from throughout the PEP would be gathered and displayed under a standard header. If URL references should likewise be written out explicitly (in citation form), another tree transform could be used. URL references can be named ("frungible doodads"), and can be referenced from multiple places in the document without additional definitions. When converted to HTML, references will be replaced with inline hyperlinks (HTML <a> tags). The two footnotes are automatically numbered, so they will always stay in sync. The first footnote also contains an internal reference name, "pep9876", so it's easier to see the connection between reference and footnote in the source text. Named footnotes can be referenced multiple times, maintaining consistent numbering. The "#pep9876" footnote could also be written in the form of a citation:: It extends PEP 9876 [PEP9876]_ ... .. [PEP9876] PEP 9876, Let's Hope We Never Get Here Footnotes are numbered, whereas citations use text for their references. 5. Wouldn't it be better to keep the docstring and PEP proposals separate? The PEP markup proposal may be removed if it is deemed that there is no need for PEP markup, or it could be made into a separate PEP. If accepted, PEP 1, PEP Purpose and Guidelines [#PEP-1]_, and PEP 9, Sample PEP Template [#PEP-9]_ will be updated. It seems natural to adopt a single consistent markup standard for all uses of structured plaintext in Python, and to propose it all in one place. 6. The existing pep2html.py script converts the existing PEP format to HTML. How will the new-format PEPs be converted to HTML? A new version of pep2html.py with integrated reStructuredText parsing has been completed. The Docutils project supports PEPs with a "PEP Reader" component, including all functionality currently in pep2html.py (auto-recognition of PEP & RFC references, email masking, etc.). 7. Who's going to convert the existing PEPs to reStructuredText? PEP authors or volunteers may convert existing PEPs if they like, but there is no requirement to do so. The reStructuredText-based PEPs will coexist with the old PEP standard. The pep2html.py mentioned in answer 6 processes both old and new standards. 8. Why use reStructuredText for README and other ancillary files? The reasoning given for PEPs in answer 4 above also applies to README and other ancillary files. By adopting a standard markup, these files can be converted to attractive cross-referenced HTML and put up on python.org. Developers of other projects can also take advantage of this facility for their own documentation. 9. Won't the superficial similarity to existing markup conventions cause problems, and result in people writing invalid markup (and not noticing, because the plaintext looks natural)? How forgiving is reStructuredText of "not quite right" markup? There will be some mis-steps, as there would be when moving from one programming language to another. As with any language, proficiency grows with experience. Luckily, reStructuredText is a very little language indeed. As with any syntax, there is the possibility of syntax errors. It is expected that a user will run the processing system over their input and check the output for correctness. In a strict sense, the reStructuredText parser is very unforgiving (as it should be; "In the face of ambiguity, refuse the temptation to guess" [#Zen]_ applies to parsing markup as well as computer languages). Here's design goal 3 from `An Introduction to reStructuredText`_: Unambiguous. The rules for markup must not be open for interpretation. For any given input, there should be one and only one possible output (including error output). While unforgiving, at the same time the parser does try to be helpful by producing useful diagnostic output ("system messages"). The parser reports problems, indicating their level of severity (from least to most: debug, info, warning, error, severe). The user or the client software can decide on reporting thresholds; they can ignore low-level problems or cause high-level problems to bring processing to an immediate halt. Problems are reported during the parse as well as included in the output, often with two-way links between the source of the problem and the system message explaining it. 10. Will the docstrings in the Python standard library modules be converted to reStructuredText? No. Python's library reference documentation is maintained separately from the source. Docstrings in the Python standard library should not try to duplicate the library reference documentation. The current policy for docstrings in the Python standard library is that they should be no more than concise hints, simple and markup-free (although many *do* contain ad-hoc implicit markup). 11. I want to write all my strings in Unicode. Will anything break? The parser fully supports Unicode. Docutils supports arbitrary input and output encodings. 12. Why does the community need a new structured text design? The existing structured text designs are deficient, for the reasons given in "Rationale" above. reStructuredText aims to be a complete markup syntax, within the limitations of the "readable plaintext" medium. 13. What is wrong with existing documentation methodologies? What existing methodologies? For Python docstrings, there is **no** official standard markup format, let alone a documentation methodology akin to JavaDoc. The question of methodology is at a much higher level than syntax (which this PEP addresses). It is potentially much more controversial and difficult to resolve, and is intentionally left out of this discussion. References & Footnotes ====================== .. [#PEP-1] PEP 1, PEP Guidelines, Warsaw, Hylton (http://www.python.org/peps/pep-0001.html) .. [#PEP-9] PEP 9, Sample PEP Template, Warsaw (http://www.python.org/peps/pep-0009.html) .. [#Zen] From `The Zen of Python (by Tim Peters)`__ (or just "``import this``" in Python) __ http://www.python.org/doc/Humor.html#zen .. [#PEP-216] PEP 216, Docstring Format, Zadka (http://www.python.org/peps/pep-0216.html) .. _reStructuredText markup: https://docutils.sourceforge.io/rst.html .. _Doc-SIG: http://www.python.org/sigs/doc-sig/ .. _XML: http://www.w3.org/XML/ .. _SGML: http://www.oasis-open.org/cover/general.html .. _DocBook: http://docbook.org/tdg/en/html/docbook.html .. _HTML: http://www.w3.org/MarkUp/ .. _XHTML: http://www.w3.org/MarkUp/#xhtml1 .. _TeX: http://www.tug.org/interest.html .. _Perl POD: http://perldoc.perl.org/perlpod.html .. _JavaDoc: http://java.sun.com/j2se/javadoc/ .. _Setext: https://docutils.sourceforge.io/mirror/setext.html .. _StructuredText: http://www.zope.org/DevHome/Members/jim/StructuredTextWiki/FrontPage .. _A ReStructuredText Primer: https://docutils.sourceforge.io/docs/user/rst/quickstart.html .. _Quick reStructuredText: https://docutils.sourceforge.io/docs/user/rst/quickref.html .. _An Introduction to reStructuredText: https://docutils.sourceforge.io/docs/ref/rst/introduction.html .. _reStructuredText Markup Specification: https://docutils.sourceforge.io/docs/ref/rst/restructuredtext.html .. _reStructuredText Directives: https://docutils.sourceforge.io/docs/ref/rst/directives.html .. _Problems with StructuredText: https://docutils.sourceforge.io/docs/dev/rst/problems.html .. _A Record of reStructuredText Syntax Alternatives: https://docutils.sourceforge.io/docs/dev/rst/alternatives.html .. _Docutils: https://docutils.sourceforge.io/ Copyright ========= This document has been placed in the public domain. Acknowledgements ================ Some text is borrowed from PEP 216, Docstring Format [#PEP-216]_, by Moshe Zadka. Special thanks to all members past & present of the Python Doc-SIG_. .. Local Variables: mode: indented-text indent-tabs-mode: nil sentence-end-double-space: t fill-column: 70 End: ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/ref/�����������������0000775�0000000�0000000�00000000000�15141625651�0030376�5����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/ref/doctree.txt������0000664�0000000�0000000�00000401754�15141625651�0032577�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������============================ The Docutils Document Tree ============================ A Guide to the Docutils DTD *************************** :Author: David Goodger :Contact: docutils-develop@lists.sourceforge.net :Revision: $Revision$ :Date: $Date$ :Copyright: This document has been placed in the public domain. .. contents:: :depth: 1 This document describes the XML data structure of Docutils_ documents: the relationships and semantics of elements and attributes. The Docutils document structure is formally defined by the `Docutils Generic DTD`_ XML document type definition, docutils.dtd_, which is the definitive source for details of element structural relationships. This document does not discuss implementation details. Those can be found in internal documentation (docstrings) for the ``docutils.nodes`` module, where the document tree data structure is implemented in a class library. The reader is assumed to have some familiarity with XML or SGML, and an understanding of the data structure meaning of "tree". For a list of introductory articles, see `Introducing the Extensible Markup Language (XML)`_. The reStructuredText_ markup is used for illustrative examples throughout this document. For a gentle introduction, see `A ReStructuredText Primer`_. For complete technical details, see the `reStructuredText Markup Specification`_. .. _Docutils: https://docutils.sourceforge.io/ .. _Docutils Generic DTD: .. _Docutils DTD: .. _docutils.dtd: docutils.dtd .. _Introducing the Extensible Markup Language (XML): http://xml.coverpages.org/xmlIntro.html .. _reStructuredText: https://docutils.sourceforge.io/rst.html .. _A ReStructuredText Primer: ../user/rst/quickstart.html .. _reStructuredText Markup Specification: rst/restructuredtext.html ------------------- Element Hierarchy ------------------- .. contents:: :local: Below is a simplified diagram of the hierarchy of elements in the Docutils document tree structure. An element may contain any other elements immediately below it in the diagram. Notes are written in square brackets. Element types in parentheses indicate recursive or one-to-many relationships; sections may contain (sub)sections, tables contain further body elements, etc. :: +--------------------------------------------------------------------+ | document [may begin with a title, subtitle, decoration, docinfo] | | +--------------------------------------+ | | sections [each begins with a title] | +-----------------------------+-------------------------+------------+ | [body elements:] | (sections) | | | - literal | - lists | | - hyperlink +------------+ | | blocks | - tables | | targets | | para- | - doctest | - block | foot- | - sub. defs | | graphs | blocks | quotes | notes | - comments | +---------+-----------+----------+-------+--------------+ | [text]+ | [text] | (body elements) | [text] | | (inline +-----------+------------------+--------------+ | markup) | +---------+ The Docutils document model uses a simple, recursive model for section structure. A document_ node may contain body elements and section_ elements. Sections in turn may contain body elements and sections. The level (depth) of a section element is determined from its physical nesting level; unlike other document models (``<h1>`` in HTML_, ``<sect1>`` in DocBook_, ``<div1>`` in XMLSpec_) the level is not incorporated into the element name. The Docutils document model uses strict element content models. Every element has a unique structure and semantics, but elements may be classified into general categories (below). Only elements which are meant to directly contain text data have a mixed content model, where text data and inline elements may be intermixed. This is unlike the much looser HTML_ document model, where paragraphs and text data may occur at the same level. .. _HTML: https://www.w3.org/TR/html52/ .. _DocBook: https://tdg.docbook.org/tdg/5.1/ .. _XMLSpec: https://www.w3.org/XML/1998/06/xmlspec-report.htm Structural Elements =================== Structural elements may only contain child elements; they do not directly contain text data. Structural elements may contain body elements or further structural elements. Structural elements can only be child elements of other structural elements. Category members: document_, section_, topic_, sidebar_ Structural Subelements ---------------------- Structural subelements are child elements of structural elements. Simple structuctural subelements (title_, subtitle_) contain text data; the others are compound and do not directly contain text data. Category members: title_, subtitle_, decoration_, docinfo_, meta_, transition_ Bibliographic Elements `````````````````````` The docinfo_ element is an optional child of document_. It groups bibliographic elements together. All bibliographic elements except authors_ and field_ contain text data. authors_ contains further bibliographic elements (most notably author_). field_ contains field_name_ and field_body_ body subelements. Category members: address_, author_, authors_, contact_, copyright_, date_, field_, organization_, revision_, status_, version_ Decorative Elements ``````````````````` The decoration_ element is also an optional child of document_. It groups together elements used to generate page headers and footers. Category members: footer_, header_ Body Elements ============= Body elements are contained within structural elements and compound body elements. There are two subcategories of body elements: simple and compound. Category members: admonition_, attention_, block_quote_, bullet_list_, caution_, citation_, comment_, compound_, container_, danger_, definition_list_, doctest_block_, enumerated_list_, error_, field_list_, figure_, footnote_, hint_, image_, important_, line_block_, literal_block_, note_, option_list_, paragraph_, pending_, raw_, rubric_, substitution_definition_, system_message_, table_, target_, tip_, warning_ Simple Body Elements -------------------- Simple body elements are empty or directly contain text data. Those that contain text data may also contain inline elements. Such elements therefore have a "mixed content model". Category members: comment_, doctest_block_, image_, literal_block_, math_block_, paragraph_, pending_, raw_, rubric_, substitution_definition_, target_ Compound Body Elements ---------------------- Compound body elements contain local substructure (body subelements) and further body elements. They do not directly contain text data. Category members: admonition_, attention_, block_quote_, bullet_list_, caution_, citation_, compound_, container_, danger_, definition_list_, enumerated_list_, error_, field_list_, figure_, footnote_, hint_, important_, line_block, note_, option_list_, system_message_, table_, tip_, warning_ Body Subelements ```````````````` Compound body elements contain specific subelements (e.g. bullet_list_ contains list_item_). Subelements may themselves be compound elements (containing further child elements, like field_) or simple data elements (containing text data, like field_name_). These subelements always occur within specific parent elements, never at the body element level (beside paragraphs, etc.). Category members (simple): attribution_, caption_, classifier_, colspec_, field_name_, label_, line_, option_argument_, option_string_, term_ Category members (compound): definition_, definition_list_item_, description_, entry_, field_, field_body_, legend_, list_item_, option_, option_group_, option_list_item_, row_, tbody_, tgroup_, thead_ Inline Elements =============== Inline elements directly contain text data, and may also contain further inline elements. Inline elements are contained within simple body elements. Most inline elements have a "mixed content model". Category members: abbreviation_, acronym_, citation_reference_, emphasis_, footnote_reference_, generated_, image_, inline_, literal_, math_, problematic_, reference_, strong_, subscript_, substitution_reference_, superscript_, target_, title_reference_, raw_ ------------------- Element Reference ------------------- .. contents:: :local: :depth: 1 Each element in the DTD (document type definition) is described in its own section below. Each section contains an introduction plus the following subsections: * Details (of element relationships and semantics): - Category: One or more references to the element categories in `Element Hierarchy`_ above. Some elements belong to more than one category. - Analogues: Describes analogous elements in well-known document models such as HTML_ or DocBook_. Lists similarities and differences. - Processing: Lists formatting or rendering recommendations for the element. - Parents: A list of elements which may contain the element. - Children: A list of elements which may occur within the element followed by the formal XML content model from the `Docutils DTD`_. - Attributes: Describes (or refers to descriptions of) the possible values and semantics of each attribute. - Parameter Entities: Lists the parameter entities which directly or indirectly include the element. * Examples: reStructuredText_ examples are shown along with fragments of the document trees resulting from parsing. _`Pseudo-XML` is used for the results of parsing and processing. Pseudo-XML is a representation of XML where nesting is indicated by indentation and end-tags are not shown. Some of the precision of real XML is given up in exchange for easier readability. For example, the following are equivalent: - Real XML:: <document> <section ids="a-title" names="a title"> <title>A Title A paragraph.
- Pseudo-XML::
A Title <paragraph> A paragraph. -------------------- Many of the element reference sections below are marked "_`to be completed`". Please help complete this document by contributing to its writing. ``abbreviation`` ================ The ``abbreviation`` element is an inline element used to represent an abbreviation being used in the document. An example of an abbreviation is 'St' being used instead of 'Street'. Details ------- :Category: `Inline Elements`_ :Analogues: ``abbreviation`` is analogous to the HTML "abbr" element. :Parents: All elements employing the `%inline.elements;`_ parameter entity in their content models may contain ``abbreviation``. :Children: ``abbreviation`` elements may contain text data plus `inline elements`_. .. parsed-literal:: `%text.model;`_ :Attributes: The ``abbreviation`` element contains only the `common attributes`_. Examples -------- The ``abbreviation`` element is not exposed in default restructured text. It can only be accessed through custom roles. Pseudo-XML_ example from a custom `:abbr:` role:: <paragraph> <abbreviation explanation="Street"> St is a common abbreviation for "street". ``acronym`` =========== `To be completed`_. ``address`` =========== The ``address`` element holds the surface mailing address information for the author (individual or group) of the document, or a third-party contact address. Its structure is identical to that of the literal_block_ element: whitespace is significant, especially newlines. Details ------- :Category: `Bibliographic Elements`_ :Analogues: ``address`` is analogous to the DocBook "address" element. :Processing: As with the literal_block_ element, newlines and other whitespace is significant and must be preserved. However, a monospaced typeface need not be used. See also docinfo_. :Parents: The following elements may contain ``address``: docinfo_, authors_ :Children: ``address`` elements contain text data plus `inline elements`_. .. parsed-literal:: `%text.model;`_ :Attributes: The ``address`` element contains the `common attributes`_ plus `xml:space`_. :Parameter Entities: The `%bibliographic.elements;`_ parameter entity directly includes ``address``. Examples -------- reStructuredText_ source:: Document Title ============== :Address: 123 Example Ave. Example, EX Complete pseudo-XML_ result after parsing and applying transforms:: <document ids="document-title" names="document title"> <title> Document Title <docinfo> <address> 123 Example Ave. Example, EX See docinfo_ for a more complete example, including processing context. ``admonition`` ============== This element is a generic, titled admonition. Also see the specific admonition elements Docutils offers (in alphabetical order): caution_, danger_, error_, hint_, important_, note_, tip_, warning_. Details ------- :Category: `Compound Body Elements`_ :Analogues: ``admonition`` has no direct analogues in common DTDs. It can be emulated with primitives and type effects. :Processing: Rendered distinctly (inset and/or in a box, etc.). :Parents: All elements employing the `%body.elements;`_ or `%structure.model;`_ parameter entities in their content models may contain ``admonition``. :Children: ``admonition`` elements begin with a title_ and may contain one or more `body elements`_. :: (title_, (`%body.elements;`_)+) :Attributes: The ``admonition`` element contains only the `common attributes`_. :Parameter Entities: The `%body.elements;`_ parameter entity directly includes ``admonition``. The `%structure.model;`_ parameter entity indirectly includes ``admonition``. Examples -------- reStructuredText source:: .. admonition:: And, by the way... You can make up your own admonition too. Pseudo-XML_ fragment from simple parsing:: <admonition class="admonition-and-by-the-way"> <title> And, by the way... <paragraph> You can make up your own admonition too. ``attention`` ============= The ``attention`` element is an admonition, a distinctive and self-contained notice. Also see the other admonition elements Docutils offers (in alphabetical order): caution_, danger_, error_, hint_, important_, note_, tip_, warning_, and the generic admonition_. Details ------- :Category: `Compound Body Elements`_ :Analogues: ``attention`` has no direct analogues in common DTDs. It can be emulated with primitives and type effects. :Processing: Rendered distinctly (inset and/or in a box, etc.), with the generated title "Attention!" (or similar). :Parents: All elements employing the `%body.elements;`_ or `%structure.model;`_ parameter entities in their content models may contain ``attention``. :Children: ``attention`` elements contain one or more `body elements`_. .. parsed-literal:: (`%body.elements;`_)+ :Attributes: The ``attention`` element contains only the `common attributes`_. :Parameter Entities: The `%body.elements;`_ parameter entity directly includes ``attention``. The `%structure.model;`_ parameter entity indirectly includes ``attention``. Examples -------- reStructuredText source:: .. Attention:: All your base are belong to us. Pseudo-XML_ fragment from simple parsing:: <attention> <paragraph> All your base are belong to us. ``attribution`` =============== `To be completed`_. ``author`` ========== The ``author`` element holds the name of the author of the document. Details ------- :Category: `Bibliographic Elements`_ :Analogues: ``author`` is analogous to the DocBook "author" element. :Processing: See docinfo_. :Parents: The following elements may contain ``author``: docinfo_, authors_ :Children: ``author`` elements may contain text data plus `inline elements`_. .. parsed-literal:: `%text.model;`_ :Attributes: The ``author`` element contains only the `common attributes`_. :Parameter Entities: The `%bibliographic.elements;`_ parameter entity directly includes ``author``. Examples -------- reStructuredText_ source:: Document Title ============== :Author: J. Random Hacker Complete pseudo-XML_ result after parsing and applying transforms:: <document ids="document-title" names="document title"> <title> Document Title <docinfo> <author> J. Random Hacker See docinfo_ for a more complete example, including processing context. ``authors`` =========== The ``authors`` element is a container for author information for documents with multiple authors. Details ------- :Category: `Bibliographic Elements`_ :Analogues: ``authors`` is analogous to the DocBook "authors" element. :Processing: See docinfo_. :Parents: Only the docinfo_ element contains ``authors``. :Children: ``authors`` elements may contain the following elements: author_, organization_, address_, contact_:: ((author, organization?, address?, contact?)+) :Attributes: The ``authors`` element contains only the `common attributes`_. :Parameter Entities: The `%bibliographic.elements;`_ parameter entity directly includes ``authors``. Examples -------- reStructuredText_ source:: Document Title ============== :Authors: J. Random Hacker; Jane Doe Complete pseudo-XML_ result after parsing and applying transforms:: <document ids="document-title" names="document title"> <title> Document Title <docinfo> <authors> <author> J. Random Hacker <author> Jane Doe In reStructuredText, multiple author's names are separated with semicolons (";") or commas (","); semicolons take precedence. There is currently no way to represent the author's organization, address, or contact in a reStructuredText "Authors" field. See docinfo_ for a more complete example, including processing context. ``block_quote`` =============== The ``block_quote`` element is used for quotations set off from the main text (standalone). Details ------- :Category: `Compound Body Elements`_ :Analogues: ``block_quote`` is analogous to the "blockquote" element in both HTML and DocBook. :Processing: ``block_quote`` elements serve to set their contents off from the main text, typically with indentation and/or other decoration. :Parents: All elements employing the `%body.elements;`_ or `%structure.model;`_ parameter entities in their content models may contain ``block_quote``. :Children: ``block_quote`` elements contain `body elements`_ followed by an optional attribution_ element. .. parsed-literal:: ((`%body.elements;`_)+, attribution?) :Attributes: The ``block_quote`` element contains only the `common attributes`_. :Parameter Entities: The `%body.elements;`_ parameter entity directly includes ``block_quote``. The `%structure.model;`_ parameter entity indirectly includes ``block_quote``. Examples -------- reStructuredText source:: As a great paleontologist once said, This theory, that is mine, is mine. -- Anne Elk (Miss) Pseudo-XML_ fragment from simple parsing:: <paragraph> As a great paleontologist once said, <block_quote> <paragraph> This theory, that is mine, is mine. <attribution> Anne Elk (Miss) ``bullet_list`` =============== The ``bullet_list`` element contains list_item_ elements which are uniformly marked with bullets. Bullets are typically simple dingbats (symbols) such as circles and squares. Details ------- :Category: `Compound Body Elements`_ :Analogues: ``bullet_list`` is analogous to the HTML "ul" element and to the DocBook "itemizedlist" element. HTML's "ul" is short for "unordered list", which we consider to be a misnomer. "Unordered" implies that the list items may be randomly rearranged without affecting the meaning of the list. Bullet lists *are* often ordered; the ordering is simply left implicit. :Processing: Each list item should begin a new vertical block, prefaced by a bullet/dingbat. :Parents: All elements employing the `%body.elements;`_ or `%structure.model;`_ parameter entities in their content models may contain ``bullet_list``. :Children: ``bullet_list`` elements contain one or more list_item_ elements:: (list_item_+) :Attributes: The ``bullet_list`` element contains the `common attributes`_ plus bullet_. ``bullet`` is used to record the style of bullet from the input data. In documents processed from reStructuredText_, it contains one of "-", "+", or "*". It may be ignored in processing. :Parameter Entities: The `%body.elements;`_ parameter entity directly includes ``bullet_list``. The `%structure.model;`_ parameter entity indirectly includes ``bullet_list``. Examples -------- reStructuredText_ source:: - Item 1, paragraph 1. Item 1, paragraph 2. - Item 2. Pseudo-XML_ fragment from simple parsing:: <bullet_list bullet="-"> <list_item> <paragraph> Item 1, paragraph 1. <paragraph> Item 1, paragraph 2. <list_item> <paragraph> Item 2. See list_item_ for another example. ``caption`` =========== `To be completed`_. ``caution`` =========== The ``caution`` element is an admonition, a distinctive and self-contained notice. Also see the other admonition elements Docutils offers (in alphabetical order): attention_, danger_, error_, hint_, important_, note_, tip_, warning_, and the generic admonition_. Details ------- :Category: `Compound Body Elements`_ :Analogues: ``caution`` is analogous to the `DocBook "caution"`_ element. :Processing: Rendered distinctly (inset and/or in a box, etc.), with the generated title "Caution" (or similar). .. _DocBook "caution": https://tdg.docbook.org/tdg/5.1/caution.html :Parents: All elements employing the `%body.elements;`_ or `%structure.model;`_ parameter entities in their content models may contain ``caution``. :Children: ``caution`` elements contain one or more `body elements`_. .. parsed-literal:: (`%body.elements;`_)+ :Attributes: The ``caution`` element contains only the `common attributes`_. :Parameter Entities: The `%body.elements;`_ parameter entity directly includes ``caution``. The `%structure.model;`_ parameter entity indirectly includes ``caution``. Examples -------- reStructuredText source:: .. Caution:: Don't take any wooden nickels. Pseudo-XML_ fragment from simple parsing:: <caution> <paragraph> Don't take any wooden nickels. ``citation`` ============ `To be completed`_. ``citation_reference`` ====================== `To be completed`_. ``classifier`` ============== The ``classifier`` element contains the classification or type of the term_ being defined in a definition_list_. For example, it can be used to indicate the type of a variable. Details ------- :Category: `Body Subelements`_ (simple) :Analogues: ``classifier`` has no direct analogues in common DTDs. It can be emulated with primitives or type effects. :Processing: See definition_list_item_. :Parents: Only the definition_list_item_ element contains ``classifier``. :Children: ``classifier`` elements may contain text data plus `inline elements`_. .. parsed-literal:: `%text.model;`_ :Attributes: The ``classifier`` element contains only the `common attributes`_. Examples -------- Here is a hypothetical data dictionary. reStructuredText_ source:: name : string Customer name. i : int Temporary index variable. Pseudo-XML_ fragment from simple parsing:: <definition_list> <definition_list_item> <term> name <classifier> string <definition> <paragraph> Customer name. <definition_list_item> <term> i <classifier> int <definition> <paragraph> Temporary index variable. ``colspec`` =========== Specifications for a column in a table_. Details ------- :Category: `Body Subelements`_ (simple) :Analogues: ``colspec`` is based on the [exchange-table-model]_ and analogous to the DocBook "colspec" element. :Processing: The ``colspec`` element contains layout information for the parent table_. :Parents: Only the tgroup_ element contains ``colspec``. :Children: ``colspec`` is an empty element and has no children. :Attributes: The ``colspec`` element contains the optional "colnum", "colname", "colwidth", "colsep", "rowsep", "align", "char", and "charoff" attributes defined in the exchange-table-model_ plus the `common attributes`_ and `stub`_. Docutils uses only colwidth_ and stub_. .. attention:: In contrast to the definition in the exchange-table-model_, unitless values of the "colwidth" are interpreted as proportional values, not fixed values with unit "pt". .. The reference implementation `html4css2` converts column widths values to percentages. Future versions of Docutils may use the standard form ``number*``, e.g., “5*†for 5 times the proportion. Examples -------- See table_. ``comment`` =========== `To be completed`_. ``compound`` ============ `To be completed`_. ``contact`` =========== The ``contact`` element holds contact information for the author (individual or group) of the document, or a third-party contact. It is typically used for an email or web address. Details ------- :Category: `Bibliographic Elements`_ :Analogues: ``contact`` is analogous to the DocBook "email" element. The HTML "address" element serves a similar purpose. :Processing: See docinfo_. :Parents: The following elements may contain ``contact``: docinfo_, authors_ :Children: ``contact`` elements may contain text data plus `inline elements`_. .. parsed-literal:: `%text.model;`_ :Attributes: The ``contact`` element contains only the `common attributes`_. :Parameter Entities: The `%bibliographic.elements;`_ parameter entity directly includes ``contact``. Examples -------- reStructuredText_ source:: Document Title ============== :Contact: jrh@example.com Complete pseudo-XML_ result after parsing and applying transforms:: <document ids="document-title" names="document title"> <title> Document Title <docinfo> <contact> <reference refuri="mailto:jrh@example.com"> jrh@example.com See docinfo_ for a more complete example, including processing context. ``container`` ============= `To be completed`_. ``copyright`` ============= The ``copyright`` element contains the document's copyright statement. Details ------- :Category: `Bibliographic Elements`_ :Analogues: ``copyright`` is analogous to the DocBook "copyright" element. :Processing: See docinfo_. :Parents: Only the docinfo_ element contains ``copyright``. :Children: ``copyright`` elements may contain text data plus `inline elements`_. .. parsed-literal:: `%text.model;`_ :Attributes: The ``copyright`` element contains only the `common attributes`_. :Parameter Entities: The `%bibliographic.elements;`_ parameter entity directly includes ``copyright``. Examples -------- reStructuredText_ source:: Document Title ============== :Copyright: This document has been placed in the public domain. Complete pseudo-XML_ result after parsing and applying transforms:: <document ids="document-title" names="document title"> <title> Document Title <docinfo> <copyright> This document has been placed in the public domain. See docinfo_ for a more complete example, including processing context. ``danger`` ========== The ``danger`` element is an admonition, a distinctive and self-contained notice. Also see the other admonition elements Docutils offers (in alphabetical order): attention_, caution_, error_, hint_, important_, note_, tip_, warning_, and the generic admonition_. Details ------- :Category: `Compound Body Elements`_ :Analogues: ``danger`` has no direct analogues in common DTDs. It can be emulated with primitives and type effects. :Processing: Rendered distinctly (inset and/or in a box, etc.), with the generated title "!DANGER!" (or similar). :Parents: All elements employing the `%body.elements;`_ or `%structure.model;`_ parameter entities in their content models may contain ``danger``. :Children: ``danger`` elements contain one or more `body elements`_. .. parsed-literal:: (`%body.elements;`_)+ :Attributes: The ``danger`` element contains only the `common attributes`_. :Parameter Entities: The `%body.elements;`_ parameter entity directly includes ``danger``. The `%structure.model;`_ parameter entity indirectly includes ``danger``. Examples -------- reStructuredText source:: .. DANGER:: Mad scientist at work! Pseudo-XML_ fragment from simple parsing:: <danger> <paragraph> Mad scientist at work! ``date`` ======== The ``date`` element contains the date of publication, release, or last modification of the document. Details ------- :Category: `Bibliographic Elements`_ :Analogues: ``date`` is analogous to the DocBook "date" element. :Processing: Often used with the RCS/CVS keyword "Date". See docinfo_. :Parents: Only the docinfo_ element contains ``date``. :Children: ``date`` elements may contain text data plus `inline elements`_. .. parsed-literal:: `%text.model;`_ :Attributes: The ``date`` element contains only the `common attributes`_. :Parameter Entities: The `%bibliographic.elements;`_ parameter entity directly includes ``date``. Examples -------- reStructuredText_ source:: Document Title ============== :Date: 2002-08-20 Complete pseudo-XML_ result after parsing and applying transforms:: <document ids="document-title" names="document title"> <title> Document Title <docinfo> <date> 2002-08-20 See docinfo_ for a more complete example, including processing context. ``decoration`` ============== The ``decoration`` element is a container for header_ and footer_ elements and potential future extensions. These elements are used for notes, time/datestamp, processing information, etc. Details ------- :Category: `Structural Subelements`_ :Analogues: There are no direct analogies to ``decoration`` in HTML or in DocBook. Equivalents are typically constructed from primitives and/or generated by the processing system. :Processing: See the individual `decorative elements`_. :Parents: Only the document_ element contains ``decoration``. :Children: ``decoration`` elements may contain `decorative elements`_. .. parsed-literal:: (header_?, footer_?) Although the content model doesn't specifically require contents, no empty ``decoration`` elements are ever created. :Attributes: The ``decoration`` element contains only the `common attributes`_. Examples -------- reStructuredText_ source:: A paragraph. Complete pseudo-XML_ result after parsing and applying transforms, assuming that the datestamp command-line option or configuration setting has been supplied:: <document> <decoration> <footer> <paragraph> Generated on: 2002-08-20. <paragraph> A paragraph. ``definition`` ============== The ``definition`` element is a container for the body elements used to define a term_ in a definition_list_. Details ------- :Category: `Body Subelements`_ (compound) :Analogues: ``definition`` is analogous to the HTML "dd" element and to the DocBook "listitem" element (inside a "variablelistentry" element). :Processing: See definition_list_item_. :Parents: Only definition_list_item_ elements contain ``definition``. :Children: ``definition`` elements contain `body elements`_. .. parsed-literal:: (`%body.elements;`_)+ :Attributes: The ``definition`` element contains only the `common attributes`_. Examples -------- See the examples for the definition_list_, definition_list_item_, and classifier_ elements. ``definition_list`` =================== The ``definition_list`` element contains a list of terms and their definitions. It can be used for glossaries or dictionaries, to describe or classify things, for dialogues, or to itemize subtopics (such as in this reference). Details ------- :Category: `Compound Body Elements`_ :Parents: All elements employing the `%body.elements;`_ or `%structure.model;`_ parameter entities in their content models may contain ``definition_list``. :Children: ``definition_list`` elements contain one or more definition_list_item_ elements. :Analogues: ``definition_list`` is analogous to the HTML "dl" element and to the DocBook "variablelist" element. :Processing: See definition_list_item_. :Attributes: The ``definition_list`` element contains only the `common attributes`_. :Parameter Entities: The `%body.elements;`_ parameter entity directly includes ``definition_list``. The `%structure.model;`_ parameter entity indirectly includes ``definition_list``. Examples -------- reStructuredText_ source:: Term Definition. Term : classifier The ' : ' indicates a classifier in definition list item terms only. Pseudo-XML_ fragment from simple parsing:: <definition_list> <definition_list_item> <term> Term <definition> <paragraph> Definition. <definition_list_item> <term> Term <classifier> classifier <definition> <paragraph> The ' : ' indicates a classifier in definition list item terms only. See definition_list_item_ and classifier_ for further examples. ``definition_list_item`` ======================== The ``definition_list_item`` element contains a single term_/definition_ pair (with optional classifier_). Details ------- :Category: `Body Subelements`_ (compound) :Analogues: ``definition_list_item`` is analogous to the DocBook "variablelistentry" element. :Processing: The optional classifier_ can be rendered differently from the term_. They should be separated visually, typically by spaces plus a colon or dash. :Parents: Only the definition_list_ element contains ``definition_list_item``. :Children: ``definition_list_item`` elements each contain a single term_, an optional classifier_, and a definition_:: (term, classifier?, definition) :Attributes: The ``definition_list_item`` element contains only the `common attributes`_. Examples -------- reStructuredText_ source:: Tyrannosaurus Rex : carnivore Big and scary; the "Tyrant King". Brontosaurus : herbivore All brontosauruses are thin at one end, much much thicker in the middle and then thin again at the far end. -- Anne Elk (Miss) Pseudo-XML_ fragment from simple parsing:: <definition_list> <definition_list_item> <term> Tyrannosaurus Rex <classifier> carnivore <definition> <paragraph> Big and scary; the "Tyrant King". <definition_list_item> <term> Brontosaurus <classifier> herbivore <definition> <paragraph> All brontosauruses are thin at one end, much much thicker in the middle and then thin again at the far end. <paragraph> -- Anne Elk (Miss) See definition_list_ and classifier_ for further examples. ``description`` =============== The ``description`` element contains body elements, describing the purpose or effect of a command-line option or group of options. Details ------- :Category: `Body Subelements`_ :Analogues: ``description`` has no direct analogues in common DTDs. :Processing: See option_list_. :Parents: Only the option_list_item_ element contains ``description``. :Children: ``description`` elements may contain `body elements`_. .. parsed-literal:: (`%body.elements;`_)+ :Attributes: The ``description`` element contains only the `common attributes`_. Examples -------- See the examples for the option_list_ element. ``docinfo`` =========== The ``docinfo`` element is a container for displayed document bibliographic data, or meta-data (data about the document). It corresponds to the front matter of a book, such as the title page and copyright page. See also the meta_ element (for "hidden" meta-data). Details ------- :Category: `Structural Subelements`_ :Analogues: ``docinfo`` is analogous to DocBook "info" elements ("bookinfo" etc.). There are no directly analogous HTML elements; the "meta" element carries some of the same information, albeit invisibly. :Processing: The ``docinfo`` element may be rendered as a two-column table or in other styles. It may even be invisible or omitted from the processed output. Meta-data may be extracted from ``docinfo`` children; for example, HTML ``<meta>`` tags may be constructed. When Docutils_ transforms a reStructuredText_ field_list_ into a ``docinfo`` element (see the examples below), RCS/CVS keywords are normally stripped from simple (one paragraph) field bodies. For complete details, please see `RCS Keywords`_ in the `reStructuredText Markup Specification`_. .. _RCS Keywords: rst/restructuredtext.html#rcs-keywords :Parents: Only the document_ element contains ``docinfo``. :Children: ``docinfo`` elements contain `bibliographic elements`_. .. parsed-literal:: (`%bibliographic.elements;`_)+ :Attributes: The ``docinfo`` element contains only the `common attributes`_. Examples -------- Docinfo is represented in reStructuredText_ by a field_list_ in a bibliographic context: the first non-comment element of a document_, after any document title_/subtitle_. The field list is transformed into a ``docinfo`` element and its children by a transform. Source:: Docinfo Example =============== :Author: J. Random Hacker :Contact: jrh@example.com :Date: 2002-08-18 :Status: Work In Progress :Version: 1 :Filename: $RCSfile$ :Copyright: This document has been placed in the public domain. Complete pseudo-XML_ result after parsing and applying transforms:: <document ids="docinfo-example" names="docinfo example"> <title> Docinfo Example <docinfo> <author> J. Random Hacker <contact> <reference refuri="mailto:jrh@example.com"> jrh@example.com <date> 2002-08-18 <status> Work In Progress <version> 1 <field> <field_name> Filename <field_body> <paragraph> doctree.txt <copyright> This document has been placed in the public domain. Note that "Filename" is a non-standard ``docinfo`` field, so becomes a generic ``field`` element. Also note that the "RCSfile" keyword syntax has been stripped from the "Filename" data. See field_list_ for an example in a non-bibliographic context. Also see the individual examples for the various `bibliographic elements`_. ``doctest_block`` ================= The ``doctest_block`` element is a Python-specific variant of literal_block_. It is a block of text where line breaks and whitespace are significant and must be preserved. ``doctest_block`` elements are used for interactive Python interpreter sessions, which are distinguished by their input prompt: ``>>>``. They are meant to illustrate usage by example, and provide an elegant and powerful testing environment via the `doctest module`_ in the Python standard library. .. _doctest module: https://docs.python.org/3/library/doctest.html Details ------- :Category: `Simple Body Elements`_ :Analogues: ``doctest_block`` is analogous to the HTML "pre" element and to the DocBook "programlisting" and "screen" elements. :Processing: As with literal_block_, ``doctest_block`` elements are typically rendered in a monospaced typeface. It is crucial that all whitespace and line breaks are preserved in the rendered form. :Parents: All elements employing the `%body.elements;`_ or `%structure.model;`_ parameter entities in their content models may contain ``doctest_block``. :Children: ``doctest_block`` elements may contain text data plus `inline elements`_. .. parsed-literal:: `%text.model;`_ :Attributes: The ``doctest_block`` element contains the `common attributes`_ plus `xml:space`_. :Parameter Entities: The `%body.elements;`_ parameter entity directly includes ``doctest_block``. The `%structure.model;`_ parameter entity indirectly includes ``doctest_block``. Examples -------- reStructuredText source:: This is an ordinary paragraph. >>> print 'this is a Doctest block' this is a Doctest block Pseudo-XML_ fragment from simple parsing:: <paragraph> This is an ordinary paragraph. <doctest_block xml:space="preserve"> >>> print 'this is a Doctest block' this is a Doctest block ``document`` ============ The ``document`` element is the root (topmost) element of the Docutils document tree. ``document`` is the direct or indirect ancestor of every other element in the tree. It encloses the entire document tree. It is the starting point for a document. Details ------- :Category: `Structural Elements`_ :Analogues: ``document`` is analogous to the HTML "html" element and to several DocBook elements such as "book". :Parents: The ``document`` element has no parents. :Children: ``document`` elements may contain `structural subelements`_, `structural elements`_, and `body elements`_. .. parsed-literal:: ( (title_, subtitle_?)?, decoration_?, (docinfo_, transition_?)?, `%structure.model;`_ ) Depending on the source of the data and the stage of processing, the "document" may not initially contain a "title". A document title is not directly representable in reStructuredText_. Instead, a lone top-level section may have its title promoted to become the document title_, and similarly for a lone second-level (sub)section's title to become the document subtitle_. The contents of "decoration_" may be specified in a document, constructed programmatically, or both. The "docinfo_" may be transformed from an initial field_list_. See the `%structure.model;`_ parameter entity for details of the body of a ``document``. :Attributes: The ``document`` element contains the `common attributes`_ (ids_, names_, dupnames_, source_, and classes_), plus an optional `title attribute`_ which stores the document title metadata. Examples -------- reStructuredText_ source:: A Title ======= A paragraph. Complete pseudo-XML_ result from simple parsing:: <document> <section ids="a-title" names="a title"> <title> A Title <paragraph> A paragraph. After applying transforms, the section title is promoted to become the document title:: <document ids="a-title" names="a title"> <title> A Title <paragraph> A paragraph. ``emphasis`` ============ `To be completed`_. ``entry`` ========= `To be completed`_. ``enumerated_list`` =================== The ``enumerated_list`` element contains list_item_ elements which are uniformly marked with enumerator labels. Details ------- :Category: `Compound Body Elements`_ :Analogues: ``enumerated_list`` is analogous to the HTML "ol" element and to the DocBook "orderedlist" element. :Processing: Each list item should begin a new vertical block, prefaced by a enumeration marker (such as "1."). :Parents: All elements employing the `%body.elements;`_ or `%structure.model;`_ parameter entities in their content models may contain ``enumerated_list``. :Children: ``enumerated_list`` elements contain one or more list_item_ elements:: (list_item+) :Attributes: The ``enumerated_list`` element contains the `common attributes`_ plus enumtype_, prefix_, suffix_, and start_. ``enumtype`` is used to record the intended enumeration sequence, one of "arabic" (1, 2, 3, ...), "loweralpha" (a, b, c, ..., z), "upperalpha" (A, B, C, ..., Z), "lowerroman" (i, ii, iii, iv, ..., mmmmcmxcix [4999]), or "upperroman" (I, II, III, IV, ..., MMMMCMXCIX [4999]). ``prefix`` stores the formatting characters used before the enumerator. In documents originating from reStructuredText_ data, it will contain either "" (empty string) or "(" (left parenthesis). It may or may not affect processing. ``suffix`` stores the formatting characters used after the enumerator. In documents originating from reStructuredText_ data, it will contain either "." (period) or ")" (right parenthesis). Depending on the capabilities of the output format, this attribute may or may not affect processing. ``start`` contains the ordinal value of the first item in the list, in decimal. For lists beginning at value 1 ("1", "a", "A", "i", or "I"), this attribute may be omitted. :Parameter Entities: The `%body.elements;`_ parameter entity directly includes ``enumerated_list``. The `%structure.model;`_ parameter entity indirectly includes ``enumerated_list``. Examples -------- reStructuredText_ source:: 1. Item 1. (A) Item A. (B) Item B. (C) Item C. 2. Item 2. Pseudo-XML_ fragment from simple parsing:: <enumerated_list enumtype="arabic" prefix="" suffix="."> <list_item> <paragraph> Item 1. <enumerated_list enumtype="upperalpha" prefix="(" suffix=")"> <list_item> <paragraph> Item A. <list_item> <paragraph> Item B. <list_item> <paragraph> Item C. <list_item> <paragraph> Item 2. See list_item_ for another example. ``error`` ========= The ``error`` element is an admonition, a distinctive and self-contained notice. Also see the other admonition elements Docutils offers (in alphabetical order): attention_, caution_, danger_, hint_, important_, note_, tip_, warning_, and the generic admonition_. Details ------- :Category: `Compound Body Elements`_ :Analogues: ``error`` has no direct analogues in common DTDs. It can be emulated with primitives and type effects. :Processing: Rendered distinctly (inset and/or in a box, etc.), with the generated title "Error" (or similar). :Parents: All elements employing the `%body.elements;`_ or `%structure.model;`_ parameter entities in their content models may contain ``error``. :Children: ``error`` elements contain one or more `body elements`_. .. parsed-literal:: (`%body.elements;`_)+ :Attributes: The ``error`` element contains only the `common attributes`_. :Parameter Entities: The `%body.elements;`_ parameter entity directly includes ``error``. The `%structure.model;`_ parameter entity indirectly includes ``error``. Examples -------- reStructuredText source:: .. Error:: Does not compute. Pseudo-XML_ fragment from simple parsing:: <error> <paragraph> Does not compute. ``field`` ========= The ``field`` element contains a pair of field_name_ and field_body_ elements. Details ------- :Category: `Body Subelements`_ :Analogues: ``field`` has no direct analogues in common DTDs. :Processing: See field_list_. :Parents: The following elements may contain ``field``: docinfo_, field_list_ :Children: Each ``field`` element contains one field_name_ and one field_body_ element:: (field_name, field_body) :Attributes: The ``field`` element contains only the `common attributes`_. :Parameter Entities: The `%bibliographic.elements;`_ parameter entity directly includes ``field``. Examples -------- See the examples for the field_list_ and docinfo_ elements. ``field_body`` ============== The ``field_body`` element contains body elements. It is analogous to a database field's data. Details ------- :Category: `Body Subelements`_ :Analogues: ``field_body`` has no direct analogues in common DTDs. :Processing: See field_list_. :Parents: Only the field_ element contains ``field_body``. :Children: ``field_body`` elements may contain `body elements`_. .. parsed-literal:: (`%body.elements;`_)* :Attributes: The ``field_body`` element contains only the `common attributes`_. Examples -------- See the examples for the field_list_ and docinfo_ elements. ``field_list`` ============== The ``field_list`` element contains two-column table-like structures resembling database records (label & data pairs). Field lists are often meant for further processing. In reStructuredText_, field lists are used to represent bibliographic fields (contents of the docinfo_ element) and `directive options`_. Details ------- :Category: `Compound Body Elements`_ :Analogues: ``field_list`` has no direct analogues in common DTDs. It can be emulated with primitives such as tables. :Processing: A ``field_list`` is typically rendered as a two-column list, where the first column contains "labels" (usually with a colon suffix). However, field lists are often used for extension syntax or special processing. Such structures do not survive as field lists to be rendered. :Parents: All elements employing the `%body.elements;`_ or `%structure.model;`_ parameter entities in their content models may contain ``field_list``. :Children: ``field_list`` elements contain one or more field_ elements. :: (field+) :Attributes: The ``field_list`` element contains only the `common attributes`_. :Parameter Entities: The `%body.elements;`_ parameter entity directly includes ``field_list``. The `%structure.model;`_ parameter entity indirectly includes ``field_list``. Examples -------- reStructuredText_ source:: :Author: Me :Version: 1 :Date: 2001-08-11 :Parameter i: integer Pseudo-XML_ fragment from simple parsing:: <field_list> <field> <field_name> Author <field_body> <paragraph> Me <field> <field_name> Version <field_body> <paragraph> 1 <field> <field_name> Date <field_body> <paragraph> 2001-08-11 <field> <field_name> Parameter i <field_body> <paragraph> integer .. _directive options: rst/restructuredtext.html#directive-options ``field_name`` ============== The ``field_name`` element contains text; it is analogous to a database field's name. Details ------- :Category: `Body Subelements`_ (simple) :Analogues: ``field_name`` has no direct analogues in common DTDs. :Processing: See field_list_. :Parents: Only the field_ element contains ``field_name``. :Children: ``field_name`` elements may contain text data plus `inline elements`_. .. parsed-literal:: `%text.model;`_ :Attributes: The ``field_name`` element contains only the `common attributes`_. Examples -------- See the examples for the field_list_ and docinfo_ elements. ``figure`` ========== `To be completed`_. ``footer`` ========== The ``footer`` element is a container element whose contents are meant to appear at the bottom of a web page, or repeated at the bottom of every printed page. The ``footer`` element may contain processing information (datestamp, a link to Docutils_, etc.) as well as custom content. Details ------- :Category: `Decorative Elements`_ :Analogues: ``footer`` is analogous to the HTML5 "footer" element. There are no direct analogies to ``footer`` in HTML4 or DocBook. Equivalents are typically constructed from primitives and/or generated by the processing system. :Parents: Only the decoration_ element contains ``footer``. :Children: ``footer`` elements may contain `body elements`_. .. parsed-literal:: (`%body.elements;`_)+ :Attributes: The ``footer`` element contains only the `common attributes`_. Examples -------- reStructuredText_ source:: A paragraph. Complete pseudo-XML_ result after parsing and applying transforms, assuming that the datestamp command-line option or configuration setting has been supplied:: <document> <decoration> <footer> <paragraph> Generated on: 2002-08-20. <paragraph> A paragraph. ``footnote`` ============ The ``footnote`` element is used for labeled notes_ that provide additional context to a passage of text (*footnotes* or *endnotes*). The corresponding footnote mark in running text is set by the `footnote_reference`_ element. .. _notes: https://en.wikipedia.org/wiki/Note_(typography) Details ------- :Category: `Compound Body Elements`_ :Analogues: ``footnote`` has no direct analogues in DocBook or HTML. The `DocBook "footnote"`_ element combines features of ``footnote`` and footnote_reference_. The `ARIA role "note"`__ may be used to mark a (conforming__) `HTML emulation`__ as "a section whose content is parenthetic or ancillary to the main content of the resource". Depending on the note's position, the `epub:type`__ *footnote* or *endnote* and the DPub ARIA role `"doc-footnote"`__ or `"doc-endnote"`__ may be applicable. .. _DocBook "footnote": https://tdg.docbook.org/tdg/5.1/footnote.html __ https://www.w3.org/TR/wai-aria-1.1/#note __ https://www.w3.org/TR/html-aria/#docconformance __ https://www.w3.org/TR/html51/ common-idioms-without-dedicated-elements.html#footnotes __ https://idpf.github.io/epub-vocabs/structure/#notes __ https://www.w3.org/TR/dpub-aria-1.0/#doc-footnote __ https://www.w3.org/TR/dpub-aria-1.0/#doc-endnote :Processing: A ``footnote`` element should be set off from the rest of the document, e.g. with a border or using a smaller font size. Footnotes may "float" to the bottom or margin of a page or a dedicated section. :Parents: All elements employing the `%body.elements;`_ or `%structure.model;`_ parameter entities in their content models may contain ``footnote``. :Children: ``footnote`` elements begin with an optional label_ and contain `body elements`_. .. parsed-literal:: (label?, (`%body.elements;`_)+) :Attributes: The ``footnote`` element contains the `common attributes`_ plus auto_ and backrefs_. :Parameter Entities: The `%body.elements;`_ parameter entity directly includes ``footnote``. The `%structure.model;`_ parameter entity indirectly includes ``footnote``. Examples -------- reStructuredText_ uses `explicit markup blocks`_ for footnotes:: .. [1] This is a footnote. Pseudo-XML_ fragment from simple parsing:: <footnote ids="id1" names="1"> <label> 1 <paragraph> This is a footnote. .. _explicit markup blocks: rst/restructuredtext.html#explicit-markup-blocks ``footnote_reference`` ====================== The ``footnote_reference`` element is an inline element representing a cross reference to a footnote_ (a footnote mark). Details ------- :Category: `Inline Elements`_ :Analogues: The ``footnote_reference`` element resembles the `DocBook "footnoteref"`_ element or the LaTeX ``\footnotemark`` command. There is no equivalent in HTML. The ``<a>`` element can be used to provide a link to the corresponding footnote. .. _DocBook "footnoteref": https://tdg.docbook.org/tdg/5.1/footnoteref.html :Processing: A ``footnote_reference`` should generate a mark matching the label_ of the referenced footnote. The mark is typically formatted as superscript or enclosed i square brackets. :Parents: All elements employing the `%inline.elements;`_ parameter entities in their content models may contain ``footnote-reference``. :Children: ``footnote_reference`` elements may contain text data. :: (#PCDATA) :Attributes: The ``footnote_reference`` element contains the `common attributes`_ plus auto_, refid_, and refname_. Examples -------- reStructuredText source fragment:: [#]_ is an auto-numbered footnote reference. .. [#] Auto-numbered footnote 1. Pseudo-XML_ fragment from simple parsing:: <paragraph> <footnote_reference auto="1" ids="id1"> is an auto-numbered footnote reference. <footnote auto="1" ids="id3"> <paragraph> Auto-numbered footnote 1. The ``references.Footnotes`` Docutils transform_ resolves this to:: <paragraph> <footnote_reference auto="1" ids="id1" refid="id2"> 1 is an auto-numbered footnote reference. <footnote auto="1" backrefs="id1" ids="id2" names="1"> <label> 1 <paragraph> Auto-numbered footnote 1. .. _transform: api/.html ``generated`` ============= Docutils wraps ``generated`` elements around text that is inserted (generated) by Docutils; i.e., text that was not in the document, like section numbers inserted by the "sectnum" directive. `To be completed`_. ``header`` ========== The ``header`` element is a container element whose contents are meant to appear at the top of a web page, or at the top of every printed page. Details ------- :Category: `Decorative Elements`_ :Analogues: ``header`` is analogous to the HTML5 "header" element. There are no direct analogies to ``header`` in HTML4 or DocBook. Equivalents are typically constructed from primitives and/or generated by the processing system. :Parents: Only the decoration_ element contains ``header``. :Children: ``header`` elements may contain `body elements`_. .. parsed-literal:: (`%body.elements;`_)+ :Attributes: The ``header`` element contains only the `common attributes`_. Examples -------- reStructuredText source fragment:: .. header:: This space for rent. Pseudo-XML_ fragment from simple parsing:: <document> <decoration> <header> <paragraph> This space for rent. ``hint`` ======== The ``hint`` element is an admonition, a distinctive and self-contained notice. Also see the other admonition elements Docutils offers (in alphabetical order): attention_, caution_, danger_, error_, important_, note_, tip_, warning_, and the generic admonition_. Details ------- :Category: `Compound Body Elements`_ :Analogues: ``hint`` has no direct analogues in common DTDs. It can be emulated with primitives and type effects. :Processing: Rendered distinctly (inset and/or in a box, etc.), with the generated title "Hint" (or similar). :Parents: All elements employing the `%body.elements;`_ or `%structure.model;`_ parameter entities in their content models may contain ``hint``. :Children: ``hint`` elements contain one or more `body elements`_. .. parsed-literal:: (`%body.elements;`_)+ :Attributes: The ``hint`` element contains only the `common attributes`_. :Parameter Entities: The `%body.elements;`_ parameter entity directly includes ``hint``. The `%structure.model;`_ parameter entity indirectly includes ``hint``. Examples -------- reStructuredText source:: .. Hint:: It's bigger than a bread box. Pseudo-XML_ fragment from simple parsing:: <hint> <paragraph> It's bigger than a bread box. ``image`` ========= :Attributes: The ``image`` element contains the `common attributes`_ plus uri, align_, alt, height_, width_, and scale_. `To be completed`_. ``important`` ============= The ``important`` element is an admonition, a distinctive and self-contained notice. Also see the other admonition elements Docutils offers (in alphabetical order): attention_, caution_, danger_, error_, hint_, note_, tip_, warning_, and the generic admonition_. Details ------- :Category: `Compound Body Elements`_ :Analogues: ``important`` is analogous to the `DocBook "important"`_ element. :Processing: Rendered distinctly (inset and/or in a box, etc.), with the generated title "Important" (or similar). .. _DocBook "important": https://tdg.docbook.org/tdg/5.1/important.html :Parents: All elements employing the `%body.elements;`_ or `%structure.model;`_ parameter entities in their content models may contain ``important``. :Children: ``important`` elements contain one or more `body elements`_. .. parsed-literal:: (`%body.elements;`_)+ :Attributes: The ``important`` element contains only the `common attributes`_. :Parameter Entities: The `%body.elements;`_ parameter entity directly includes ``important``. The `%structure.model;`_ parameter entity indirectly includes ``important``. Examples -------- reStructuredText source:: .. Important:: * Wash behind your ears. * Clean up your room. * Back up your data. * Call your mother. Pseudo-XML_ fragment from simple parsing:: <important> <bullet_list> <list_item> <paragraph> Wash behind your ears. <list_item> <paragraph> Clean up your room. <list_item> <paragraph> Back up your data. <list_item> <paragraph> Call your mother. ``inline`` ========== The ``inline`` element is a generic inline container. Details ------- :Category: `Inline Elements`_ :Analogues: ``inline`` is analogous to the HTML "span" element. :Processing: Writers typically pass the classes_ attribute to the output document and leave styling to the backend or a custom stylesheet_. They may also process the classes_ attribute and convert the ``inline`` element to a specific element or render the content distinctly for specific class values. Moreover, writers may ignore the classes attribute and render the content as ordinary text. :Parents: All elements employing the `%inline.elements;`_ parameter entities in their content models may contain ``inline``. :Children: ``inline`` elements may contain text data plus `inline elements`_. .. parsed-literal:: `%text.model;`_ :Attributes: The ``inline`` element contains the `common attributes`_. Examples -------- `Custom interpreted text roles`_ create ``inline`` elements (unless they are based on a `standard role`_). reStructuredText source fragment:: .. role:: custom An example of using :custom:`interpreted text` Pseudo-XML_ fragment from simple parsing:: <paragraph> An example of using <inline classes="custom"> interpreted text .. _stylesheet: ../user/config.html#stylesheet .. _custom interpreted text roles: rst/directives.html#custom-interpreted-text-roles .. _standard role: rst/roles.html ``label`` ========= `To be completed`_. ``legend`` ========== `To be completed`_. ``line`` ======== The ``line`` element contains a single line of text, part of a `line_block`_. Details ------- :Category: `Body Subelements`_ (simple) :Parents: Only the `line_block`_ element contains ``line``. :Children: ``line`` elements may contain text data plus `inline elements`_. :Analogues: ``line`` has no direct analogues in common DTDs. It can be emulated with primitives or type effects. :Processing: See `line_block`_. :Parents: All elements employing the `%inline.elements;`_ parameter entities in their content models may contain ``inline``. :Children: ``inline`` elements may contain text data plus `inline elements`_. .. parsed-literal:: `%text.model;`_ :Attributes: The ``line`` element contains the `common attributes`_. Examples -------- See `line_block`_. ``line_block`` ============== The ``line_block`` element contains a sequence of lines and nested line blocks. Line breaks (implied between elements) and leading whitespace (indicated by nesting) is significant and must be preserved. ``line_block`` elements are commonly used for verse and addresses. See `literal_block`_ for an alternative useful for program listings and interactive computer sessions. Details ------- :Category: `Compound Body Elements`_ :Analogues: ``line_block`` is analogous to the DocBook "literallayout" element and to the HTML "pre" element (with modifications to typeface styles). :Processing: Unlike ``literal_block``, ``line_block`` elements are typically rendered in an ordinary text typeface. It is crucial that leading whitespace and line breaks are preserved in the rendered form. :Parents: All elements employing the `%body.elements;`_ or `%structure.model;`_ parameter entities in their content models may contain ``line_block``. :Children: ``line_block`` elements may contain line_ elements and nested line_block_ elements. :: (line | line_block)+ :Attributes: The ``line_block`` element contains the `common attributes`_. :Parameter Entities: The `%body.elements;`_ parameter entity directly includes ``line_block``. The `%structure.model;`_ parameter entity indirectly includes ``line_block``. Examples -------- Example source:: Take it away, Eric the Orchestra Leader! | A one, two, a one two three four | | Half a bee, philosophically, | must, *ipso facto*, half not be. | But half the bee has got to be, | *vis a vis* its entity. D'you see? | | But can a bee be said to be | or not to be an entire bee, | when half the bee is not a bee, | due to some ancient injury? | | Singing... Pseudo-XML_ fragment from simple parsing:: <paragraph> Take it away, Eric the Orchestra Leader! <line_block> <line> A one, two, a one two three four <line> <line> Half a bee, philosophically, <line_block> <line> must, <emphasis> ipso facto , half not be. <line> But half the bee has got to be, <line_block> <line> <emphasis> vis a vis its entity. D'you see? <line> <line> But can a bee be said to be <line_block> <line> or not to be an entire bee, <line_block> <line> when half the bee is not a bee, <line_block> <line> due to some ancient injury? <line> <line> Singing... ``list_item`` ============= The ``list_item`` element is a container for the elements of a list item. Details ------- :Category: `Body Subelements`_ (compound) :Analogues: ``list_item`` is analogous to the HTML "li" element and to the DocBook "listitem" element. :Processing: See bullet_list_ or enumerated_list_. :Parents: The bullet_list_ and enumerated_list_ elements contain ``list_item``. :Children: ``list_item`` elements may contain `body elements`_. .. parsed-literal:: (`%body.elements;`_)* :Attributes: The ``list_item`` element contains only the `common attributes`_. Examples -------- reStructuredText_ source:: 1. Outer list, item 1. * Inner list, item 1. * Inner list, item 2. 2. Outer list, item 2. Pseudo-XML_ fragment from simple parsing:: <enumerated_list enumtype="arabic" prefix="" suffix="."> <list_item> <paragraph> Outer list, item 1. <bullet_list bullet="*"> <list_item> <paragraph> Inner list, item 1. <list_item> <paragraph> Inner list, item 2. <list_item> <paragraph> Outer list, item 2. See bullet_list_ or enumerated_list_ for further examples. ``literal`` =========== `To be completed`_. ``literal_block`` ================= The ``literal_block`` element contains a block of text where line breaks and whitespace are significant and must be preserved. ``literal_block`` elements are commonly used for program listings and interactive computer sessions. See `line_block`_ for an alternative useful for verse and addresses. Details ------- :Category: `Simple Body Elements`_ :Analogues: ``literal_block`` is analogous to the HTML "pre" element and to the DocBook "programlisting" and "screen" elements. :Processing: ``literal_block`` elements are typically rendered in a monospaced typeface. It is crucial that all whitespace and line breaks are preserved in the rendered form. :Parents: All elements employing the `%body.elements;`_ or `%structure.model;`_ parameter entities in their content models may contain ``literal_block``. :Children: ``literal_block`` elements may contain text data plus `inline elements`_. .. parsed-literal:: `%text.model;`_ :Attributes: The ``literal_block`` element contains the `common attributes`_ plus `xml:space`_. :Parameter Entities: The `%body.elements;`_ parameter entity directly includes ``literal_block``. The `%structure.model;`_ parameter entity indirectly includes ``literal_block``. Examples -------- reStructuredText source:: Here is a literal block:: if literal_block: text = 'is left as-is' spaces_and_linebreaks = 'are preserved' markup_processing = None Pseudo-XML_ fragment from simple parsing:: <paragraph> Here is a literal block: <literal_block xml:space="preserve"> if literal_block: text = 'is left as-is' spaces_and_linebreaks = 'are preserved' markup_processing = None ``math`` ======== The ``math`` element contains text in `LaTeX math format` [#latex-math]_ that is typeset as mathematical notation (inline formula). If the output format does not support math typesetting, the content is inserted verbatim. Details ------- :Category: `Inline Elements`_ :Analogues: ``math`` is analogous to a MathML "math" element or the LaTeX (``$ math $``) mode. :Processing: Rendered as mathematical notation. :Parents: All elements employing the `%inline.elements;`_ parameter entities in their content models may contain ``math``. :Children: ``math`` elements may contain text data. .. parsed-literal:: `%text.model;`_ :Attributes: The ``math`` element contains the `common attributes`_. .. [#latex-math] For details of the supported mathematical language, see the `"math" directive`_ .. _"math" directive: rst/directives.html#math ``math_block`` ============== The ``math_block`` element contains a block of text in `LaTeX math format` [#latex-math]_ that is typeset as mathematical notation (display formula). The ``math_block`` element is generated during the initial parse from a `"math" directive`_. If the output format does not support math typesetting, the content is inserted verbatim. Details ------- :Category: `Simple Body Elements`_ :Analogues: ``math_block`` is analogous to a LaTeX "equation*" environment or a MathML "math" element displayed as block-level element. :Processing: Rendered in a block as mathematical notation, typically centered or with indentation :Parents: All elements employing the `%body.elements;`_ or `%structure.model;`_ parameter entities in their content models may contain ``math_block``. :Children: ``math_block`` elements may contain text data. :: (#PCDATA) :Attributes: The ``math`` element contains the `common attributes`_. ``meta`` ======== The ``meta`` element is a container for "hidden" document bibliographic data, or meta-data (data about the document). It corresponds to HTML META tags. See also the docinfo_ element for displayed meta-data. The document's `title attribute`_ stores the metadate document title. Details ------- :Category: `Structural Subelements`_ :Analogues: ``meta`` is analogous to the HTML "meta" element or the file properties in ODT or PDF documents. :Processing: The ``meta`` element is stored as metadata if the export format supports this. It is typically invisible and may be omitted from the processed output. Meta-data may also be extracted from docinfo_ children or the document_ attributes (title). :Parents: Only the document_ element contains ``meta``. :Children: None. Example ------- The `"meta" directive`_ is used to create a ``meta`` element. reStructuredText_ source:: .. meta:: :description lang=en: An amusing story :description lang=fr: Un histoire amusant Pseudo-XML_ fragment from simple parsing:: <meta content="An amusing story" lang="en" name="description"> <meta content="Un histoire amusant" lang="fr" name="description"> .. _"meta" directive: rst/directives.html#meta ``note`` ======== The ``note`` element is an admonition, a distinctive and self-contained notice. Also see the other admonition elements Docutils offers (in alphabetical order): attention_, caution_, danger_, error_, hint_, important_, tip_, warning_, and the generic admonition_. Details ------- :Category: `Compound Body Elements`_ :Analogues: ``note`` is analogous to the `DocBook "note"`_ element. .. _DocBook "note": https://tdg.docbook.org/tdg/5.1/note.html :Processing: Rendered distinctly (inset and/or in a box, etc.), with the generated title "Note" (or similar). :Parents: All elements employing the `%body.elements;`_ or `%structure.model;`_ parameter entities in their content models may contain ``note``. :Children: ``note`` elements contain one or more `body elements`_. .. parsed-literal:: (`%body.elements;`_)+ :Attributes: The ``note`` element contains only the `common attributes`_. :Parameter Entities: The `%body.elements;`_ parameter entity directly includes ``note``. The `%structure.model;`_ parameter entity indirectly includes ``note``. Examples -------- reStructuredText source:: .. Note:: Admonitions can be handy to break up a long boring technical document. Pseudo-XML_ fragment from simple parsing:: <note> <paragraph> Admonitions can be handy to break up a long boring technical document. ``option`` ========== The ``option`` element groups an option string together with zero or more option argument placeholders. Note that reStructuredText_ currently supports only one argument per option. Details ------- :Category: `Body Subelements`_ :Analogues: ``option`` has no direct analogues in common DTDs. :Processing: See option_list_. :Parents: Only the option_group_ element contains ``option``. :Children: Each ``option`` element contains one option_string_ and zero or more option_argument_ elements. :: (option_string, option_argument*) :Attributes: The ``option`` element contains only the `common attributes`_. Examples -------- See the examples for the option_list_ element. ``option_argument`` =================== The ``option_argument`` element contains placeholder text for option arguments. Details ------- :Category: `Body Subelements`_ :Analogues: ``option_argument`` has no direct analogues in common DTDs. :Processing: The value of the "delimiter" attribute is prefixed to the ``option_argument``, separating it from its option_string_ or a preceding ``option_argument``. The ``option_argument`` text is typically rendered in a monospaced typeface, possibly italicized or otherwise altered to indicate its placeholder nature. :Parents: Only the option_ element contains ``option_argument``. :Children: ``option_argument`` elements contain text data only. :: (#PCDATA) :Attributes: The ``option_argument`` element contains the `common attributes`_ plus delimiter_. ``delimiter`` contains the text preceding the ``option_argument``: either the text separating it from the option_string_ (typically either "=" or " ") or the text between option arguments (typically either "," or " "). Examples -------- See the examples for the option_list_ element. ``option_group`` ================ The ``option_group`` element groups together one or more option_ elements, all synonyms. Details ------- :Category: `Body Subelements`_ :Analogues: ``option_group`` has no direct analogues in common DTDs. :Processing: Typically option_ elements within an ``option_group`` are joined together in a comma-separated list. :Parents: Only the option_list_item_ element contains ``option_group``. :Children: ``option_group`` elements contain one or more option_ elements. :: (option+) :Attributes: The ``option_group`` element contains only the `common attributes`_. Examples -------- See the examples for the option_list_ element. ``option_list`` =============== Each ``option_list`` element contains a two-column list of command-line options and descriptions, documenting a program's options. Details ------- :Category: `Compound Body Elements`_ :Analogues: ``option_list`` has no direct analogues in common DTDs. It can be emulated with primitives such as tables. :Processing: An ``option_list`` is typically rendered as a two-column list, where the first column contains option strings and arguments, and the second column contains descriptions. :Parents: All elements employing the `%body.elements;`_ or `%structure.model;`_ parameter entities in their content models may contain ``option_list``. :Children: ``option_list`` elements contain one or more option_list_item_ elements. :: (option_list_item+) :Attributes: The ``option_list`` element contains only the `common attributes`_. :Parameter Entities: The `%body.elements;`_ parameter entity directly includes ``option_list``. The `%structure.model;`_ parameter entity indirectly includes ``option_list``. Examples -------- reStructuredText_ source:: -a command-line option "a" -1 file, --one=file, --two file Multiple options with arguments. Pseudo-XML_ fragment from simple parsing:: <option_list> <option_list_item> <option_group> <option> <option_string> -a <description> <paragraph> command-line option "a" <option_list_item> <option_group> <option> <option_string> -1 <option_argument delimiter=" "> file <option> <option_string> --one <option_argument delimiter="="> file <option> <option_string> --two <option_argument delimiter=" "> file <description> <paragraph> Multiple options with arguments. ``option_list_item`` ==================== The ``option_list_item`` element is a container for a pair of option_group_ and description_ elements. Details ------- :Category: `Body Subelements`_ :Analogues: ``option_list_item`` has no direct analogues in common DTDs. :Processing: See option_list_. :Parents: Only the option_list_ element contains ``option_list_item``. :Children: Each ``option_list_item`` element contains one option_group_ and one description_ element. :: (option_group, description) :Attributes: The ``option_list_item`` element contains only the `common attributes`_. Examples -------- See the examples for the option_list_ element. ``option_string`` ================= The ``option_string`` element contains the text of a command-line option. Details ------- :Category: `Body Subelements`_ :Analogues: ``option_string`` has no direct analogues in common DTDs. :Processing: The ``option_string`` text is typically rendered in a monospaced typeface. :Parents: Only the option_ element contains ``option_string``. :Children: ``option_string`` elements contain text data only. :: (#PCDATA) :Attributes: The ``option_string`` element contains only the `common attributes`_. Examples -------- See the examples for the option_list_ element. ``organization`` ================ The ``organization`` element contains the name of document author's organization, or the organization responsible for the document. Details ------- :Category: `Bibliographic Elements`_ :Analogues: ``organization`` is analogous to the DocBook "orgname", "corpname", or "publishername" elements. :Processing: See docinfo_. :Parents: Only the docinfo_ element contains ``organization``. :Children: ``organization`` elements may contain text data plus `inline elements`_. .. parsed-literal:: `%text.model;`_ :Attributes: The ``organization`` element contains only the `common attributes`_. :Parameter Entities: The `%bibliographic.elements;`_ parameter entity directly includes ``organization``. Examples -------- reStructuredText_ source:: Document Title ============== :Organization: Humankind Complete pseudo-XML_ result after parsing and applying transforms:: <document ids="document-title" names="document title"> <title> Document Title <docinfo> <organization> Humankind See docinfo_ for a more complete example, including processing context. ``paragraph`` ============= The ``paragraph`` element contains the text and inline elements of a single paragraph, a fundamental building block of documents. Details ------- :Category: `Simple Body Elements`_ :Analogues: ``paragraph`` is analogous to the HTML "p" element and to the DocBook "para" elements. :Parents: All elements employing the `%body.elements;`_ or `%structure.model;`_ parameter entities in their content models may contain ``paragraph``. :Children: ``paragraph`` elements may contain text data plus `inline elements`_. .. parsed-literal:: `%text.model;`_ :Attributes: The ``paragraph`` element contains only the `common attributes`_. :Parameter Entities: The `%body.elements;`_ parameter entity directly includes ``paragraph``. The `%structure.model;`_ parameter entity indirectly includes ``paragraph``. Examples -------- reStructuredText_ source:: A paragraph. Pseudo-XML_ fragment from simple parsing:: <paragraph> A paragraph. ``pending`` =========== `To be completed`_. ``problematic`` =============== `To be completed`_. ``raw`` ======= `To be completed`_. ``reference`` ============= `To be completed`_. ``revision`` ============ The ``revision`` element contains the revision number of the document. It can be used alone or in conjunction with version_. Details ------- :Category: `Bibliographic Elements`_ :Analogues: ``revision`` is analogous to but simpler than the DocBook "revision" element. It closely matches the DocBook "revnumber" element, but in a simpler context. :Processing: Often used with the RCS/CVS keyword "Revision". See docinfo_. :Parents: Only the docinfo_ element contains ``revision``. :Children: ``revision`` elements may contain text data plus `inline elements`_. .. parsed-literal:: `%text.model;`_ :Attributes: The ``revision`` element contains only the `common attributes`_. :Parameter Entities: The `%bibliographic.elements;`_ parameter entity directly includes ``revision``. Examples -------- reStructuredText_ source:: Document Title ============== :Version: 1 :Revision: b Complete pseudo-XML_ result after parsing and applying transforms:: <document ids="document-title" names="document title"> <title> Document Title <docinfo> <version> 1 <revision> b See docinfo_ for a more complete example, including processing context. ``row`` ======= `To be completed`_. ``rubric`` ========== rubric n. 1. a title, heading, or the like, in a manuscript, book, statute, etc., written or printed in red or otherwise distinguished from the rest of the text. ... -- Random House Webster's College Dictionary, 1991 A rubric is like an informal heading that doesn't correspond to the document's structure. `To be completed`_. ``section`` =========== The ``section`` element is the main unit of hierarchy for Docutils documents. Docutils ``section`` elements are a recursive structure; a ``section`` may contain other ``section`` elements, without limit. Paragraphs and other body elements may occur before a ``section``, but not after it. Details ------- :Category: `Structural Elements`_ :Analogues: ``section`` is analogous to the recursive "section" elements in DocBook and HTML5. :Parents: The following elements may contain ``section``: document_, section_ :Children: ``section`` elements begin with a title_, and may contain `body elements`_ as well as transition_, topic_, and sidebar_ elements. .. parsed-literal:: (title_, `%structure.model;`_) See the `%structure.model;`_ parameter entity for details of the body of a ``section``. :Attributes: The ``section`` element contains only the `common attributes`_. :Parameter Entities: The `%section.elements;`_ parameter entity directly includes ``section``. The `%structure.model;`_ parameter entity indirectly includes ``section``. Examples -------- reStructuredText_ source:: Title 1 ======= Paragraph 1. Title 2 ------- Paragraph 2. Title 3 ======= Paragraph 3. Title 4 ------- Paragraph 4. Complete pseudo-XML_ result after parsing:: <document> <section ids="title-1" names="title 1"> <title> Title 1 <paragraph> Paragraph 1. <section ids="title-2" names="title 2"> <title> Title 2 <paragraph> Paragraph 2. <section ids="title-3" names="title 3"> <title> Title 3 <paragraph> Paragraph 3. <section ids="title-4" names="title 4"> <title> Title 4 <paragraph> Paragraph 4. ``sidebar`` =========== Sidebars are like miniature, parallel documents that occur inside other documents, providing related or reference material. A ``sidebar`` is typically offset by a border and "floats" to the side of the page; the document's main text may flow around it. Sidebars can also be likened to super-footnotes; their content is outside of the flow of the document's main text. The ``sidebar`` element is a nonrecursive section_-like construct which may occur at the top level of a section_ wherever a body element (list, table, etc.) is allowed. In other words, ``sidebar`` elements cannot nest inside body elements, so you can't have a ``sidebar`` inside a ``table`` or a ``list``, or inside another ``sidebar`` (or topic_). Details ------- :Category: `Structural Elements`_ :Analogues: ``sidebar`` is analogous to the DocBook "sidebar" element. :Processing: A ``sidebar`` element should be set off from the rest of the document somehow, typically with a border. Sidebars typically "float" to the side of the page and the document's main text flows around them. :Parents: The following elements may contain ``sidebar``: document_, section_ :Children: ``sidebar`` elements begin with optional title_ and subtitle_ and contain `body elements`_ and topic_ elements. .. parsed-literal:: (title, subtitle?, (`%body.elements;`_ | topic)+) :Attributes: The ``sidebar`` element contains only the `common attributes`_. :Parameter Entities: The `%structure.model;`_ parameter entity directly includes ``sidebar``. Examples -------- The `"sidebar" directive`_ is used to create a ``sidebar`` element. reStructuredText_ source:: .. sidebar:: Optional Title :subtitle: If Desired Body. Pseudo-XML_ fragment from simple parsing:: <sidebar> <title> Optional Title <subtitle> If Desired <paragraph> Body. .. _"sidebar" directive: rst/directives.html#sidebar ``status`` ========== The ``status`` element contains a status statement for the document, such as "Draft", "Final", "Work In Progress", etc. Details ------- :Category: `Bibliographic Elements`_ :Analogues: ``status`` is analogous to the DocBook "status" element. :Processing: See docinfo_. :Parents: Only the docinfo_ element contains ``status``. :Children: ``status`` elements may contain text data plus `inline elements`_. .. parsed-literal:: `%text.model;`_ :Attributes: The ``status`` element contains only the `common attributes`_. :Parameter Entities: The `%bibliographic.elements;`_ parameter entity directly includes ``status``. Examples -------- reStructuredText_ source:: Document Title ============== :Status: Work In Progress Complete pseudo-XML_ result after parsing and applying transforms:: <document ids="document-title" names="document title"> <title> Document Title <docinfo> <status> Work In Progress See docinfo_ for a more complete example, including processing context. ``strong`` ========== `To be completed`_. ``subscript`` ============= `To be completed`_. ``substitution_definition`` =========================== `To be completed`_. ``substitution_reference`` ========================== `To be completed`_. ``subtitle`` ============ The ``subtitle`` element stores the subtitle of a document_. Details ------- :Category: `Structural Subelements`_ :Analogues: ``subtitle`` is analogous to HTML header elements ("h2" etc.) and to the DocBook "subtitle" element. :Processing: A document's subtitle is usually rendered smaller than its title_. :Parents: The document_ and sidebar_ elements may contain ``subtitle``. :Children: ``subtitle`` elements may contain text data plus `inline elements`_. .. parsed-literal:: `%text.model;`_ :Attributes: The ``subtitle`` element contains only the `common attributes`_. Examples -------- reStructuredText_ source:: ======= Title ======= ---------- Subtitle ---------- A paragraph. Complete pseudo-XML_ result after parsing and applying transforms:: <document ids="title" names="title"> <title> Title <subtitle ids="subtitle" names="subtitle"> Subtitle <paragraph> A paragraph. Note how two section levels have collapsed, promoting their titles to become the document's title and subtitle. Since there is only one structural element (document), the subsection's ``ids`` and ``names`` attributes are stored in the ``subtitle`` element. ``superscript`` =============== `To be completed`_. ``system_message`` ================== `To be completed`_. ``table`` ========= The ``table`` element identifies a data arrangement with rows and columns. Docutils tables are based on the `Exchange subset of the CALS-table model` [exchange-table-model]_. [#]_ .. [#] The interpretation of column widths in colspec_ differs from the specification. Details ------- :Category: `Compound Body Elements`_ :Analogues: ``table`` is analogous to the HTML "table" element. :Processing: Content is rendered in rows and columns. :Parents: All elements employing the `%body.elements;`_ or `%structure.model;`_ parameter entities in their content models may contain ``table``. :Children: ``table`` elements begin with an optional title_ (caption) and may contain one or more `tgroup`_ elements. :: (title?, tgroup+) :Attributes: The ``table`` element contains the attributes frame, colsep, rowsep, and pgwide defined in the exchange-table-model_, the `common attributes`_, align_, and width_. :Parameter Entities: The `%body.elements;`_ parameter entity directly includes ``table``. The `%structure.model;`_ parameter entity indirectly includes ``table``. Examples -------- In reStructuredText, tables can specified via the table__, csv-table_, or list-table_ directives or directly as `grid table`_ or `simple table`_, e.g. :: ======== ==== bread £2 butter £30 ======== ==== Pseudo-XML_ fragment from simple parsing:: <table> <tgroup cols="2"> <colspec colwidth="8"> <colspec colwidth="4"> <tbody> <row> <entry> <paragraph> bread <entry> <paragraph> £2 <row> <entry> <paragraph> butter <entry> <paragraph> £30 __ rst/directives.html#table .. _csv-table: rst/directives.html#csv-table .. _list-table: rst/directives.html#list-table .. _grid table: rst/restructuredtext.html#grid-tables .. _simple table: rst/restructuredtext.html#simple-tables .. [exchange-table-model] `XML Exchange Table Model DTD`, OASIS Technical Memorandum 9901:1999, http://www.oasis-open.org/html/tm9901.html. ``target`` ========== `To be completed`_. ``tbody`` ========= `To be completed`_. ``term`` ======== The ``term`` element contains a word or phrase being defined in a definition_list_. Details ------- :Category: `Body Subelements`_ (simple) :Analogues: ``term`` is analogous to the HTML "dt" element and to the DocBook "term" element. :Processing: See definition_list_item_. :Parents: Only the definition_list_item_ element contains ``term``. :Children: ``term`` elements may contain text data plus `inline elements`_. .. parsed-literal:: `%text.model;`_ :Attributes: The ``term`` element contains only the `common attributes`_. Examples -------- See the examples for the definition_list_, definition_list_item_, and classifier_ elements. ``tgroup`` ========== See [exchange-table-model]_. .. parsed-literal:: (colspec_\*, thead_\?, tbody_) `To be completed`_. ``thead`` ========= `To be completed`_. ``tip`` ======= The ``tip`` element is an admonition, a distinctive and self-contained notice. Also see the other admonition elements Docutils offers (in alphabetical order): attention_, caution_, danger_, error_, hint_, important_, note_, warning_, and the generic admonition_. Details ------- :Category: `Compound Body Elements`_ :Analogues: ``tip`` is analogous to the `DocBook "tip"`_ element. .. _DocBook "tip": https://tdg.docbook.org/tdg/5.1/tip.html :Processing: Rendered distinctly (inset and/or in a box, etc.), with the generated title "Tip" (or similar). :Parents: All elements employing the `%body.elements;`_ or `%structure.model;`_ parameter entities in their content models may contain ``tip``. :Children: ``tip`` elements contain one or more `body elements`_. .. parsed-literal:: (`%body.elements;`_)+ :Attributes: The ``tip`` element contains only the `common attributes`_. :Parameter Entities: The `%body.elements;`_ parameter entity directly includes ``tip``. The `%structure.model;`_ parameter entity indirectly includes ``tip``. Examples -------- reStructuredText source:: .. Tip:: 15% if the service is good. Pseudo-XML_ fragment from simple parsing:: <tip> <paragraph> 15% if the service is good. .. _title: ``title`` ========= The ``title`` element stores the title of a document_, section_, sidebar_, table_, topic_, or generic admonition_. Details ------- :Category: `Structural Subelements`_ :Analogues: ``title`` is analogous to HTML "title" and header ("h1" etc.) elements, and to the DocBook "title" element. :Parents: The following elements may contain ``title``: admonition_, document_, section_, sidebar_, table_, topic_. :Children: ``title`` elements may contain text data plus `inline elements`_. .. parsed-literal:: `%text.model;`_ :Attributes: The ``title`` element contains the `common attributes`_ plus refid_ and auto_. ``refid`` is used as a backlink to a table of contents entry. ``auto`` is used to indicate (with value "1") that the ``title`` has been numbered automatically. Examples -------- reStructuredText_ source:: A Title ======= A paragraph. Pseudo-XML_ fragment from simple parsing:: <section ids="a-title" names="a title"> <title> A Title <paragraph> A paragraph. ``title_reference`` =================== `To be completed`_. ``topic`` ========= The ``topic`` element is a nonrecursive section_-like construct which may occur at the top level of a section_ wherever a body element (list, table, etc.) is allowed. In other words, ``topic`` elements cannot nest inside body elements, so you can't have a ``topic`` inside a ``table`` or a ``list``, or inside another ``topic``. Details ------- :Category: `Structural Elements`_ :Analogues: ``topic`` is analogous to the DocBook "simplesect" element. :Processing: A ``topic`` element should be set off from the rest of the document somehow, such as with indentation or a border. :Parents: The following elements may contain ``topic``: document_, section_, sidebar_ :Children: ``topic`` elements begin with a title_ and may contain `body elements`_. .. parsed-literal:: (title?, (`%body.elements;`_)+) :Attributes: The ``topic`` element contains only the `common attributes`_. :Parameter Entities: The `%structure.model;`_ parameter entity directly includes ``topic``. Examples -------- The `"topic" directive`_ is used to create a ``topic`` element. reStructuredText_ source:: .. topic:: Title Body. Pseudo-XML_ fragment from simple parsing:: <topic> <title> Title <paragraph> Body. .. _"topic" directive: rst/directives.html#topic ``transition`` ============== The ``transition`` element is commonly seen in novels and short fiction, as a gap spanning one or more lines, with or without a type ornament such as a row of asterisks. Transitions separate body elements and sections, dividing a section into untitled divisions. A transition may not begin or end a section [#]_ or document, nor may two transitions be immediately adjacent. See `Doctree Representation of Transitions`__ in `A Record of reStructuredText Syntax Alternatives`__. .. [#] In reStructuredText markup, a transition may appear to fall at the end of a section immediately before another section. A transform recognizes this case and moves the transition so it separates the sections. __ ../dev/rst/alternatives.html#doctree-representation-of-transitions __ ../dev/rst/alternatives.html Details ------- :Category: `Structural Subelements`_ :Analogues: ``transition`` is analogous to the HTML "hr" element. :Processing: The ``transition`` element is typically rendered as vertical whitespace (more than that separating paragraphs), with or without a horizontal line or row of asterisks. In novels, transitions are often represented as a row of three well-spaced asterisks with vertical space above and below. :Parents: The following elements may contain ``transition``: document_, section_ :Children: The ``transition`` element has no content. :Attributes: The ``transition`` element contains only the `common attributes`_. :Parameter Entities: The `%structure.model;`_ parameter entity directly includes ``transition``. Examples -------- reStructuredText_ source:: Paragraph 1. -------- Paragraph 2. Complete pseudo-XML_ result after parsing:: <document> <paragraph> Paragraph 1. <transition> <paragraph> Paragraph 2. ``version`` =========== The ``version`` element contains the version number of the document. It can be used alone or in conjunction with revision_. Details ------- :Category: `Bibliographic Elements`_ :Analogues: ``version`` may be considered analogous to the DocBook "revision", "revnumber", or "biblioid" elements. :Processing: Sometimes used with the RCS/CVS keyword "Revision". See docinfo_ and revision_. :Parents: Only the docinfo_ element contains ``version``. :Children: ``version`` elements may contain text data plus `inline elements`_. .. parsed-literal:: `%text.model;`_ :Attributes: The ``version`` element contains only the `common attributes`_. :Parameter Entities: The `%bibliographic.elements;`_ parameter entity directly includes ``version``. Examples -------- reStructuredText_ source:: Document Title ============== :Version: 1.1 Complete pseudo-XML_ result after parsing and applying transforms:: <document ids="document-title" names="document title"> <title> Document Title <docinfo> <version> 1.1 See docinfo_ for a more complete example, including processing context. ``warning`` =========== The ``warning`` element is an admonition, a distinctive and self-contained notice. Also see the other admonition elements Docutils offers (in alphabetical order): attention_, caution_, danger_, error_, hint_, important_, note_, tip_. Details ------- :Category: `Compound Body Elements`_ :Analogues: ``warning`` is analogous to the `DocBook "warning"`_ element. .. _DocBook "warning": https://tdg.docbook.org/tdg/5.1/warning.html :Processing: Rendered distinctly (inset and/or in a box, etc.), with the generated title "Warning" (or similar). :Parents: All elements employing the `%body.elements;`_ or `%structure.model;`_ parameter entities in their content models may contain ``warning``. :Children: ``warning`` elements contain one or more `body elements`_. .. parsed-literal:: (`%body.elements;`_)+ :Attributes: The ``warning`` element contains only the `common attributes`_. :Parameter Entities: The `%body.elements;`_ parameter entity directly includes ``warning``. The `%structure.model;`_ parameter entity indirectly includes ``warning``. Examples -------- reStructuredText source:: .. WARNING:: Reader discretion is strongly advised. Pseudo-XML_ fragment from simple parsing:: <warning> <paragraph> Reader discretion is strongly advised. .. _attribute type: --------------- Attribute types --------------- .. contents:: :local: :depth: 1 Standard attribute types ======================== Attribute types defined in the `attribute types`__ section of the `XML 1.0 specification`_: _`CDATA` Character data. CDATA attributes may contain arbitrary text. _`NMTOKEN` A "name token". One or more of letters, digits, ".", "-", and "_". _`NMTOKENS` One or more space-separated NMTOKEN values. _`EnumeratedType` The attribute value may be one of a specified list of values. Docutils uses `custom attribute types`_ instead of the ID, IDREF, and IDREFS standard types, because it does not adhere to the `One ID per Element Type`_ validity constraint. __ `XML attribute types`_ Custom attribute types ====================== The Docutils DTD defines `parameter entities`_ that resolve to standard attribute types to highlight specific attribute value constraints. _`yesorno` Boolean: no if zero ("0"), yes if any other value. Resolves to ``NMTOKEN``. Used in the `anonymous`_ and `stub`_ attributes. _`number` The attribute value must be a number. Resolves to ``NMTOKEN``. Used in the `level`_, `morecols`_, `scale`_, and `start`_ attributes. _`measure` A number which may be immediately followed by a unit or percent sign. Resolves to CDATA. Used in the `height`_ and `width`_ attributes. _`classnames.type` A space-separated list of `class names` [#classname]_. Resolves to NMTOKEN. Used in the `classes`_ attribute. _`refname.type` A normalized_ `reference name`_. Resolves to CDATA (in contrast to NMTOKENS, `reference names`_ may consist of any text). Used in the `refname`_ attribute. _`refnames.type` A space-separated list of `reference names`_. Resolves to CDATA. `Backslash escaping`_ is used for space characters inside a `reference name`. Used in the `names`_ and `dupnames`_ attributes. _`ids.type` A space-separated list of unique `identifier keys` [#identifier]_. Resolves to NMTOKENS (the XML `standard attribute types`_ do not provide for a list of IDs). Used in the `ids`_ attribute. _`idref.type` A reference to an `identifier key`_. Resolves to NMTOKEN (Docutils identifier keys do not use the ID standard type as required by the `IDREF Validity constraint`_). Used in the `refid`_ attribute. _`idrefs.type` A list of references to element identifiers. Resolves to NMTOKENS. Used in the `backrefs`_ attribute. .. _`class names`: .. [#classname] `Class names` define sub-classes of existing elements. In reStructuredText, custom `class names` can be specified using the `"class" directive`_, a directive's `:class: option`_, or `custom interpreted text roles`_. Docutils normalizes them to conform to both, HTML4.1 and CSS1.0 `name` requirements (the regular expression ``[a-z](-?[a-z0-9]+)*``) via the `identifier normalization`_. .. _identifiers: .. _identifier key: .. _identifier keys: .. [#identifier] `Identifier keys` are used for cross references in generated documents. Therefore, they must comply with restrictions in the respective output formats (HTML4.1__, HTML5__, `polyglot HTML`__, LaTeX__, ODT__, troff (manpage), XML__). Identifier keys cannot be specified directly in reStructuredText. Docutils generates them by applying the `identifier normalization`_ to `reference names`_ or from the auto_id_prefix_, prepending the id_prefix_ and potentially appending numbers for disambiguation. __ https://www.w3.org/TR/html401/types.html#type-name __ https://www.w3.org/TR/html50/dom.html#the-id-attribute __ https://www.w3.org/TR/html-polyglot/#id-attribute __ https://tex.stackexchange.com/questions/18311/what-are-the-valid-names-as-labels __ https://help.libreoffice.org/6.3/en-US/text/swriter/01/04040000.html?DbPAR=WRITER#bm_id4974211 __ https://www.w3.org/TR/REC-xml/#id .. _XML 1.0 specification: https://www.w3.org/TR/REC-xml .. _XML attribute types: https://www.w3.org/TR/REC-xml/#sec-attribute-types .. _One ID per Element Type: https://www.w3.org/TR/REC-xml/#one-id-per-el .. .. _ID attribute type: https://www.w3.org/TR/REC-xml/#id .. _parameter entities: https://www.w3.org/TR/REC-xml/#dt-PE .. _IDREF Validity constraint: https://www.w3.org/TR/REC-xml/#idref .. _reference names: .. _reference name: rst/restructuredtext.html#reference-names .. _backslash escaping: rst/restructuredtext.html#escaping-mechanism .. _id_prefix: ../user/config.html#id-prefix .. _auto_id_prefix: ../user/config.html#auto-id-prefix .. _identifier normalization: rst/directives.html#identifier-normalization .. _`:class: option`: rst/directives.html#class-option .. _custom interpreted text roles: rst/directives.html#custom-interpreted-text-roles --------------------- Attribute Reference --------------------- .. contents:: :local: :depth: 1 _`Common Attributes`: Through the `%basic.atts;`_ parameter entity, all elements support the following attributes: ids_, names_ or dupnames_, source_, and classes_. ``align`` ========= Attribute type: `CDATA`_. Default value: none (inherit). The ``align`` attribute is used in the figure_, image_, and table_ elements (via the `%align-h.att;`_ and `%align-hv.att;`_ parameter entities). ``anonymous`` ============= Attribute type: `yesorno`_. Default value: none (implies no). The ``anonymous`` attribute is used for unnamed hyperlinks in the target_ and reference_ elements (via the `%anonymous.att;`_ parameter entity). ``auto`` ======== Attribute type: `CDATA`_. Default value: none. The ``auto`` attribute is used to indicate automatically-numbered footnote_, footnote_reference_ and title_ elements (via the `%auto.att;`_ parameter entity). ``backrefs`` ============ Attribute type: `idrefs.type`_. Default value: none. The ``backrefs`` attribute contains a space-separated list of identifier_ references, used for backlinks from footnote_, citation_, and system_message_ elements (via the `%backrefs.att;`_ parameter entity). ``bullet`` ========== Attribute type: `CDATA`_. Default value: none. The ``bullet`` attribute is used in the bullet_list_ element. ``classes`` =========== Attribute type: `classnames.type`_. Default value: none. The ``classes`` attribute is a space separated list containing zero or more `class names`_. The purpose of the attribute is to indicate an "is-a" variant relationship, to allow an extensible way of defining sub-classes of existing elements. It can be used to carry context forward between a Docutils Reader and Writer, when a custom structure is reduced to a standardized document tree. One common use is in conjunction with stylesheets, to add selection criteria. It should not be used to carry formatting instructions or arbitrary content. The ``classes`` attribute's contents should be ignorable. Writers that are not familiar with the variant expressed should be able to ignore the attribute. ``classes`` is one of the `common attributes`_, shared by all Docutils elements. .. _"class" directive: rst/directives.html#class ``colwidth`` ============ Attribute type: `CDATA`_. Default value: "1*" Column width specification used in the colspec_ element. Defined in the exchange-table-model_. Either proportional measure of the form number*, e.g., “5*†for 5 times the proportion, or “*†(which is equivalent to “1*â€); fixed measure, e.g., 2pt for 2 point, 3pi for 3 pica. The fixed unit values are case insensitive. The standard list of allowed unit values is “pt†(points), “cm†(centimeters), “mm†(millimeters), “pi†(picas), and “in†(inches). The default fixed unit should be interpreted as “pt†if neither a proportion nor a fixed unit is specified. .. important:: Currently, Docutils interprets unitless numbers as proportions. ``delimiter`` ============= Attribute type: `CDATA`_. Default value: none. The ``delimiter`` attribute is used in the option_argument_ element. ``dupnames`` ============ Attribute type: `refnames.type`_. Default value: none. The ``dupnames`` attribute replaces the `names`_ attribute when there has been a naming conflict. ``dupnames`` is one of the `common attributes`_, shared by all Docutils elements. ``enumtype`` ============ Attribute type: EnumeratedType_, one of "arabic", "loweralpha", "upperalpha", "lowerroman", or "upperroman". Default value: none. The ``enumtype`` attribute is used in the enumerated_list_ element. ``height`` ========== Attribute type: measure_. Default value: none. The ``height`` attribute is used in the image_ element. ``ids`` ======= Attribute type: `ids.type`_. Default value: none. The ``ids`` attribute is a space separated list containing one or more unique `identifier keys`_, typically assigned by the system. ``ids`` is one of the `common attributes`_, shared by all Docutils elements. .. TODO: * Use 'id' for primary identifier key? * Keep additional keys in `ids` or in the preceding target elements? ``level`` ========= Attribute type: number_. Default value: none. The ``level`` attribute is used in the system_message_ element. ``morecols`` ============ Attribute type: number_. Default value: none. The ``morecols`` attribute is used in the table_ element. ``names`` ========= Attribute type: `refnames.type`_. Default value: none. The ``names`` attribute is a space-separated list containing `normalized`_ `reference names`_ of an element. Whitespace inside a name is backslash escaped. Each name in the list must be unique; if there are name conflicts (two or more elements want to the same name), the contents will be transferred to the `dupnames`_ attribute on the duplicate elements. An element may have at most one of the ``names`` or ``dupnames`` attributes, but not both. `Reference names`_ are identifiers assigned in the markup. They originate from `internal hyperlink targets`_, a directive's `name option`_, or the element's title or content and are used for internal cross-references (cf. refname_). ``names`` is one of the `common attributes`_, shared by all Docutils elements. .. _normalized: rst/restructuredtext.html#normalized-reference-names .. _internal hyperlink targets: rst/restructuredtext.html#internal-hyperlink-targets .. _name option: rst/directives.html#name ``prefix`` ========== Attribute type: `CDATA`_. Default value: none. The ``prefix`` attribute is used in the enumerated_list_ element. ``refid`` ========= Attribute type: `idref.type`_. Default value: none. The ``refid`` attribute contains a reference to an `identifier key`_ ``refid`` is used by the target_, reference_, footnote_reference_, citation_reference_, title_ and problematic_ elements (via the `%refid.att;`_ and `%reference.atts;`_ parameter entities). ``refname`` =========== Attribute type: `refname.type`_. Default value: none. The ``refname`` attribute contains a reference to one of the `reference names`_ in the `names`_ attribute of another element. On a `target`_ element, ``refname`` indicates an `indirect target`_ which may resolve to either an internal or external reference. Docutils "transforms_" replace the ``refname`` attribute with a refid_ pointing to the same element. ``refname`` is used by the target_, reference_, footnote_reference_, citation_reference_, and substitution_reference_ elements (via the `%refname.att;`_ and `%reference.atts;`_ parameter entities). .. _indirect target: rst/restructuredtext.html#indirect-hyperlink-targets .. _transforms: api/.html ``refuri`` ========== Attribute type: `CDATA`_. Default value: none. The ``refuri`` attribute contains an external reference to a URI/URL. It is used by the target_, reference_, footnote_reference_, and citation_reference_ elements (via the `%reference.atts;`_ parameter entity). ``scale`` ========== Attribute type: number_. Default value: none. The ``scale`` attribute is used in the image_ element. ``source`` ========== Attribute type: `CDATA`_. Default value: none. The ``source`` attribute is used to store the path or URL to the source text that was used to produce the document tree. It is one of the `common attributes`_, declared for all Docutils elements. ``start`` ========= Attribute type: `number`_. Default value: none. The ``start`` attribute is used in the enumerated_list_ element. ``stub`` ========= Attribute type: `yesorno`_. Default value: none. The ``stub`` attribute is used in the colspec_ element. It marks a table column containing "stubs" (row titles, on the left). See also the csv-table_ and list-table_ directives. ``suffix`` ========== Attribute type: `CDATA`_. Default value: none. The ``suffix`` attribute is used in the enumerated_list_ element. .. _title attribute: ``title`` ========= Attribute type: `CDATA`_. Default value: none. The ``title`` attribute stores the title metadata of a document_. This title is typically not part of the rendered document. It may for example be used in HTML's ``title`` element. ``width`` ========== Attribute type: measure_. Default value: none. The ``width`` attribute is used in the figure_, image_, and table_ element. ``xml:space`` ============= `Attribute type`: `EnumeratedType`_, one of "default" or "preserve". Default value: "preserve" (fixed). The ``xml:space`` attribute is a standard XML attribute for whitespace-preserving elements. It is used by the literal_block_, line_block_, doctest_block_, comment_, and raw_ elements (via the `%fixedspace.att;`_ parameter entity). It is a fixed attribute, meant to communicate to an XML parser that the element contains significant whitespace. The attribute value should not be set in a document instance. ---------------------------- Parameter Entity Reference ---------------------------- .. contents:: :local: :depth: 1 Parameter entities are used to simplify the DTD (to share definitions and reduce duplication) and to allow the DTD to be customized by wrapper DTDs (external client DTDs that use or import the Docutils DTD). Parameter entities may be overridden by wrapper DTDs, replacing the definitions below with custom definitions. Parameter entities whose names begin with "additional" are meant to allow easy extension by wrapper DTDs. ``%align-h.att;`` ================= The ``%align-h.att;`` parameter entity contains the align_ attribute for horizontal alignment. Entity definition:: align (left | center | right) #IMPLIED The figure_ and table_ elements directly employ the ``%align-h.att;`` parameter entity in their attribute lists. ``%align-hv.att;`` ================== The ``%align-hv.att;`` parameter entity contains the align_ attribute for horizontal and vertical alignment. Entity definition:: align (top | middle | bottom | left | center | right) #IMPLIED The image_ element directly employs the ``%align-hv.att;`` parameter entity in its attribute list. ``%anonymous.att;`` =================== The ``%anonymous.att;`` parameter entity contains the anonymous_ attribute, used for unnamed hyperlinks. Entity definition:: anonymous %yesorno; #IMPLIED The reference_ and target_ elements directly employ the ``%anonymous.att;`` parameter entity in their attribute lists. ``%auto.att;`` ============== The ``%auto.att;`` parameter entity contains the auto_ attribute, used to indicate an automatically-numbered footnote or title. Entity definition:: auto CDATA #IMPLIED The footnote_, footnote_reference_, and title_ elements directly employ the ``%auto.att;`` parameter entity in their attribute lists. ``%backrefs.att;`` ================== The ``%backrefs.att;`` parameter entity contains the backrefs_ attribute, a space-separated list of id references, for backlinks. Entity definition:: backrefs_ %idrefs.type; #IMPLIED The citation_, footnote_, and system_message_ elements directly employ the ``%backrefs.att;`` parameter entity in their attribute lists. ``%basic.atts;`` ================ The ``%basic.atts;`` parameter entity lists the `common attributes`_. Entity definition: .. parsed-literal:: ids_ NMTOKENS #IMPLIED names_ CDATA #IMPLIED dupnames_ CDATA #IMPLIED source_ CDATA #IMPLIED classes_ NMTOKENS #IMPLIED %additional.basic.atts; The ``%additional.basic.atts;`` parameter entity can be used by wrapper DTDs to extend ``%basic.atts;``. ``%bibliographic.elements;`` ============================ The ``%bibliographic.elements;`` parameter entity contains an OR-list of all `bibliographic elements`_. Entity definition: .. parsed-literal:: author_ | authors_ | organization_ | contact_ | address_ | version_ | revision_ | status_ | date_ | copyright_ | field_ %additional.bibliographic.elements; The ``%additional.bibliographic.elements;`` parameter entity can be used by wrapper DTDs to extend ``%bibliographic.elements;``. Only the docinfo_ element directly employs the ``%bibliographic.elements;`` parameter entity in its content model. ``%body.elements;`` =================== The ``%body.elements;`` parameter entity contains an OR-list of all `body elements`_. ``%body.elements;`` is itself contained within the `%structure.model;`_ parameter entity. Entity definition: .. parsed-literal:: admonition_ | attention_ | block_quote_ | bullet_list_ | caution_ | citation_ | compound_ | comment_ | container_ | danger_ | definition_list_ | doctest_block_ | enumerated_list_ | error_ | field_list_ | figure_ | footnote_ | hint_ | image_ | important_ | line_block_ | literal_block_ | note_ | option_list_ | paragraph_ | pending_ | raw_ reference_ | rubric_ | substitution_definition_ | system_message_ | table_ | target_ | tip_ | warning_ %additional.body.elements; The ``%additional.body.elements;`` parameter entity can be used by wrapper DTDs to extend ``%body.elements;``. The ``%body.elements;`` parameter entity is directly employed in the content models of the following elements: admonition_, attention_, block_quote_, caution_, citation_, compound_, danger_, definition_, description_, entry_, error_, field_body_, footer_, footnote_, header_, hint_, important_, legend_, list_item_, note_, sidebar_, system_message_, tip_, topic_, warning_ Via `%structure.model;`_, the ``%body.elements;`` parameter entity is indirectly employed in the content models of the document_ and section_ elements. ``%fixedspace.att;`` ==================== The ``%fixedspace.att;`` parameter entity contains the `xml:space`_ attribute, a standard XML attribute for whitespace-preserving elements. Entity definition: .. parsed-literal:: `xml:space`_ (default | preserve) #FIXED 'preserve' The ``%fixedspace.att;`` parameter entity is directly employed in the attribute lists of the following elements: address_, comment_, doctest_block_, line_block_, literal_block_, raw_ ``%inline.elements;`` ===================== The ``%inline.elements;`` parameter entity contains an OR-list of all `inline elements`_. Entity definition: .. parsed-literal:: abbreviation_ | acronym_ | citation_reference_ | emphasis_ | footnote_reference_ | generated_ | image_ | inline_ | literal_ | problematic_ | raw_ | reference_ | strong_ | substitution_reference_ | subscript_ | superscript_ | target_ | title_reference_ %additional.inline.elements; The ``%additional.inline.elements;`` parameter entity can be used by wrapper DTDs to extend ``%inline.elements;``. Via `%text.model;`_, the ``%inline.elements;`` parameter entity is indirectly employed in the content models of the following elements: abbreviation_, acronym_, address_, attribution_, author_, caption_, classifier_, contact_, copyright_, date_, doctest_block_, emphasis_, generated_, inline_, line_block_, literal_block_, math_, math_block_, organization_, paragraph_, problematic_, raw_, reference_, revision_, rubric_, status_, strong_, subscript_, substitution_definition_, substitution_reference_, subtitle_, superscript_, target_, term_, title_, title_reference_, version_ ``%reference.atts;`` ==================== The ``%reference.atts;`` parameter entity groups together the refuri_, refid_, and refname_ attributes. Entity definition: .. parsed-literal:: `%refuri.att;`_ `%refid.att;`_ `%refname.att;`_ %additional.reference.atts; The ``%additional.reference.atts;`` parameter entity can be used by wrapper DTDs to extend ``%additional.reference.atts;``. The citation_reference_, footnote_reference_, reference_, and target_ elements directly employ the ``%reference.att;`` parameter entity in their attribute lists. ``%refid.att;`` ================ The ``%refid.att;`` parameter entity contains the refid_ attribute, an internal reference to the `ids`_ attribute of another element. Entity definition: .. parsed-literal:: refid_ %idref.type; #IMPLIED The title_ and problematic_ elements directly employ the ``%refid.att;`` parameter entity in their attribute lists. Via `%reference.atts;`_, the ``%refid.att;`` parameter entity is indirectly employed in the attribute lists of the citation_reference_, footnote_reference_, reference_, and target_ elements. ``%refname.att;`` ================= The ``%refname.att;`` parameter entity contains the refname_ attribute, an internal reference to the `names`_ attribute of another element. On a `target`_ element, ``refname`` indicates an indirect target which may resolve to either an internal or external reference. Entity definition: .. parsed-literal:: refname_ %refname.type; #IMPLIED The substitution_reference_ element directly employs the ``%refname.att;`` parameter entity in its attribute list. Via `%reference.atts;`_, the ``%refname.att;`` parameter entity is indirectly employed in the attribute lists of the citation_reference_, footnote_reference_, reference_, and target_ elements. ``%refuri.att;`` ================ The ``%refuri.att;`` parameter entity contains the refuri_ attribute, an external reference to a URI/URL. Entity definition: .. parsed-literal:: refuri_ CDATA #IMPLIED Via `%reference.atts;`_, the ``%refuri.att;`` parameter entity is indirectly employed in the attribute lists of the citation_reference_, footnote_reference_, reference_, and target_ elements. ``%section.elements;`` ====================== The ``%section.elements;`` parameter entity contains an OR-list of all section_-equivalent elements. ``%section.elements;`` is itself contained within the `%structure.model;`_ parameter entity. Entity definition: .. parsed-literal:: section_ %additional.section.elements; The ``%additional.section.elements;`` parameter entity can be used by wrapper DTDs to extend ``%section.elements;``. Via `%structure.model;`_, the ``%section.elements;`` parameter entity is indirectly employed in the content models of the document_ and section_ elements. ``%structure.model;`` ===================== The ``%structure.model;`` parameter entity encapsulates the hierarchical structure of a document and of its constituent parts. See the discussion of the `element hierarchy`_ above. Entity definition: .. parsed-literal:: ( ( (`%body.elements;`_ | topic_ | sidebar_)+, transition_? )*, ( (`%section.elements;`_), (transition_?, (`%section.elements;`_) )* )? ) Each document_ or section_ contains zero or more body elements, topics, and/or sidebars, optionally interspersed with single transitions, followed by zero or more sections (whose contents are recursively the same as this model) optionally interspersed with transitions. The following restrictions are imposed by this model: * Transitions must be separated by other elements (body elements, sections, etc.). In other words, a transition may not be immediately adjacent to another transition. * A transition may not occur at the beginning of a document or section. .. The following is not the case with Docutils (since at least 2004) (cf. test/functional/input/data/standard.txt) An additional restriction, which cannot be expressed in the language of DTDs, is imposed by software: * A transition may not occur at the end of a document or section. The `%structure.model;`_ parameter entity is directly employed in the content models of the document_ and section_ elements. ``%text.model;`` ================ The ``%text.model;`` parameter entity is used by many elements to represent text data mixed with `inline elements`_. Entity definition: .. parsed-literal:: (#PCDATA | `%inline.elements;`_)* The ``%text.model;`` parameter entity is directly employed in the content models of the following elements: abbreviation_, acronym_, address_, author_, caption_, classifier_, contact_, copyright_, date_, doctest_block_, emphasis_, field_name_, generated_, line_block_, literal_block_, organization_, paragraph_, problematic_, raw_, reference_, revision_, status_, strong_, substitution_definition_, substitution_reference_, subtitle_, target_, term_, title_, version_ .. Local Variables: mode: indented-text indent-tabs-mode: nil sentence-end-double-space: t fill-column: 70 End: ��������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/ref/rst/�������������0000775�0000000�0000000�00000000000�15141625651�0031206�5����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������definitions.txt�������������������������������������������������������������������������������������0000664�0000000�0000000�00000016675�15141625651�0034222�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000�pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/ref/rst���������������������������������������������������������������������������������============================================ reStructuredText Standard Definition Files ============================================ :Author: David Goodger :Contact: docutils-develop@lists.sourceforge.net :Revision: $Revision$ :Date: $Date$ :Copyright: This document has been placed in the public domain. .. contents:: This document describes standard definition files, such as sets of substitution definitions and interpreted text roles, that can be included in reStructuredText documents. The `"include" directive`__ has a special syntax for these standard definition files, angle brackets around the file name:: .. include:: <filename.txt> __ directives.html#include The individual data files are stored with the Docutils source code in the "docutils" package, in the ``docutils/parsers/rst/include`` directory. Substitution Definitions ======================== Many of the standard definition files contain sets of `substitution definitions`__, which can be used in documents via `substitution references`__. For example, the copyright symbol is defined in ``isonum.txt`` as "copy":: .. include:: <isonum.txt> Copyright |copy| 2003 by John Q. Public, all rights reserved. __ restructuredtext.html#substitution-definitions __ restructuredtext.html#substitution-references Individual substitution definitions can also be copied from definition files and pasted into documents. This has two advantages: it removes dependencies, and it saves processing of unused definitions. However, multiple substitution definitions add clutter to the document. Substitution references require separation from the surrounding text with whitespace or punctuation. To use a substitution without intervening whitespace, you can use the disappearing-whitespace escape sequence, backslash-space:: .. include:: isonum.txt Copyright |copy| 2003, BogusMegaCorp\ |trade|. Custom substitution definitions may use the `"unicode" directive`__. Whitespace is ignored and removed, effectively sqeezing together the text:: .. |copy| unicode:: U+000A9 .. COPYRIGHT SIGN .. |BogusMegaCorp (TM)| unicode:: BogusMegaCorp U+2122 .. with trademark sign Copyright |copy| 2003, |BogusMegaCorp (TM)|. __ directives.html#unicode In addition, the "ltrim", "rtrim", and "trim" options may be used with the "unicode" directive to automatically trim spaces from the left, right, or both sides (respectively) of substitution references:: .. |---| unicode:: U+02014 .. em dash :trim: Character Entity Sets --------------------- The following files contain substitution definitions corresponding to XML character entity sets, from the following standards: ISO 8879 & ISO 9573-13 (combined), MathML, and XHTML1. They were generated by the ``tools/dev/unicode2rstsubs.py`` program from the input file unicode.xml__, which is maintained as part of the MathML 2 Recommentation XML source. __ https://www.w3.org/2003/entities/xml/ =================== ================================================= Entity Set File Description =================== ================================================= isoamsa.txt_ Added Mathematical Symbols: Arrows isoamsb.txt_ Added Mathematical Symbols: Binary Operators isoamsc.txt_ Added Mathematical Symbols: Delimiters isoamsn.txt_ Added Mathematical Symbols: Negated Relations isoamso.txt_ Added Mathematical Symbols: Ordinary isoamsr.txt_ Added Mathematical Symbols: Relations isobox.txt_ Box and Line Drawing isocyr1.txt_ Russian Cyrillic isocyr2.txt_ Non-Russian Cyrillic isodia.txt_ Diacritical Marks isogrk1.txt_ Greek Letters isogrk2.txt_ Monotoniko Greek isogrk3.txt_ Greek Symbols isogrk4.txt_ [1]_ Alternative Greek Symbols isolat1.txt_ Added Latin 1 isolat2.txt_ Added Latin 2 isomfrk.txt_ [1]_ Mathematical Fraktur isomopf.txt_ [1]_ Mathematical Openface (Double-struck) isomscr.txt_ [1]_ Mathematical Script isonum.txt_ Numeric and Special Graphic isopub.txt_ Publishing isotech.txt_ General Technical mmlalias.txt_ MathML aliases for entities from other sets mmlextra.txt_ [1]_ Extra names added by MathML xhtml1-lat1.txt_ XHTML Latin 1 xhtml1-special.txt_ XHTML Special Characters xhtml1-symbol.txt_ XHTML Mathematical, Greek and Symbolic Characters =================== ================================================= .. [1] There are ``*-wide.txt`` variants for each of these character entity set files, containing characters outside of the Unicode basic multilingual plane or BMP (wide-Unicode; code points greater than U+FFFF). Most pre-built Python distributions are "narrow" and do not support wide-Unicode characters. Python *can* be built with wide-Unicode support though; consult the Python build instructions for details. For example, the copyright symbol is defined as the XML character entity ``©``. The equivalent reStructuredText substitution reference (defined in both ``isonum.txt`` and ``xhtml1-lat1.txt``) is ``|copy|``. .. _isoamsa.txt: ../../../docutils/parsers/rst/include/isoamsa.txt .. _isoamsb.txt: ../../../docutils/parsers/rst/include/isoamsb.txt .. _isoamsc.txt: ../../../docutils/parsers/rst/include/isoamsc.txt .. _isoamsn.txt: ../../../docutils/parsers/rst/include/isoamsn.txt .. _isoamso.txt: ../../../docutils/parsers/rst/include/isoamso.txt .. _isoamsr.txt: ../../../docutils/parsers/rst/include/isoamsr.txt .. _isobox.txt: ../../../docutils/parsers/rst/include/isobox.txt .. _isocyr1.txt: ../../../docutils/parsers/rst/include/isocyr1.txt .. _isocyr2.txt: ../../../docutils/parsers/rst/include/isocyr2.txt .. _isodia.txt: ../../../docutils/parsers/rst/include/isodia.txt .. _isogrk1.txt: ../../../docutils/parsers/rst/include/isogrk1.txt .. _isogrk2.txt: ../../../docutils/parsers/rst/include/isogrk2.txt .. _isogrk3.txt: ../../../docutils/parsers/rst/include/isogrk3.txt .. _isogrk4.txt: ../../../docutils/parsers/rst/include/isogrk4.txt .. _isolat1.txt: ../../../docutils/parsers/rst/include/isolat1.txt .. _isolat2.txt: ../../../docutils/parsers/rst/include/isolat2.txt .. _isomfrk.txt: ../../../docutils/parsers/rst/include/isomfrk.txt .. _isomopf.txt: ../../../docutils/parsers/rst/include/isomopf.txt .. _isomscr.txt: ../../../docutils/parsers/rst/include/isomscr.txt .. _isonum.txt: ../../../docutils/parsers/rst/include/isonum.txt .. _isopub.txt: ../../../docutils/parsers/rst/include/isopub.txt .. _isotech.txt: ../../../docutils/parsers/rst/include/isotech.txt .. _mmlalias.txt: ../../../docutils/parsers/rst/include/mmlalias.txt .. _mmlextra.txt: ../../../docutils/parsers/rst/include/mmlextra.txt .. _xhtml1-lat1.txt: ../../../docutils/parsers/rst/include/xhtml1-lat1.txt .. _xhtml1-special.txt: ../../../docutils/parsers/rst/include/xhtml1-special.txt .. _xhtml1-symbol.txt: ../../../docutils/parsers/rst/include/xhtml1-symbol.txt S5/HTML Definitions =================== The "s5defs.txt_" standard definition file contains interpreted text roles (classes) and other definitions for documents destined to become `S5/HTML slide shows`_. .. _s5defs.txt: ../../../docutils/parsers/rst/include/s5defs.txt .. _S5/HTML slide shows: ../../user/slide-shows.html .. Local Variables: mode: indented-text indent-tabs-mode: nil sentence-end-double-space: t fill-column: 70 End: �������������������������������������������������������������������directives.txt��������������������������������������������������������������������������������������0000664�0000000�0000000�00000202235�15141625651�0034035�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000�pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/ref/rst���������������������������������������������������������������������������������============================= reStructuredText Directives ============================= :Author: David Goodger :Contact: docutils-develop@lists.sourceforge.net :Revision: $Revision$ :Date: $Date$ :Copyright: This document has been placed in the public domain. .. contents:: :depth: 2 This document describes the directives implemented in the reference reStructuredText parser. Directives have the following syntax:: +-------+-------------------------------+ | ".. " | directive type "::" directive | +-------+ block | | | +-------------------------------+ Directives begin with an explicit markup start (two periods and a space), followed by the directive type and two colons (collectively, the "directive marker"). The directive block begins immediately after the directive marker, and includes all subsequent indented lines. The directive block is divided into arguments, options (a field list), and content (in that order), any of which may appear. See the Directives_ section in the `reStructuredText Markup Specification`_ for syntax details. Descriptions below list "doctree elements" (document tree element names; XML DTD generic identifiers) corresponding to individual directives. For details on the hierarchy of elements, please see `The Docutils Document Tree`_ and the `Docutils Generic DTD`_ XML document type definition. For directive implementation details, see `Creating reStructuredText Directives`_. .. _Directives: restructuredtext.html#directives .. _reStructuredText Markup Specification: restructuredtext.html .. _The Docutils Document Tree: ../doctree.html .. _Docutils Generic DTD: ../docutils.dtd .. _Creating reStructuredText Directives: ../../howto/rst-directives.html ------------- Admonitions ------------- .. From Webster's Revised Unabridged Dictionary (1913) [web1913]: Admonition Gentle or friendly reproof; counseling against a fault or error; expression of authoritative advice; friendly caution or warning. Syn: {Admonition}, {Reprehension}, {Reproof}. Usage: Admonition is prospective, and relates to moral delinquencies; its object is to prevent further transgression. .. _attention: .. _caution: .. _danger: .. _error: .. _hint: .. _important: .. _note: .. _tip: .. _warning: Specific Admonitions ==================== :Directive Types: "attention", "caution", "danger", "error", "hint", "important", "note", "tip", "warning", "admonition" :Doctree Elements: attention, caution, danger, error, hint, important, note, tip, warning, admonition_, title_ :Directive Arguments: None. :Directive Options: class_, name_ :Directive Content: Interpreted as body elements. Admonitions are specially marked "topics" that can appear anywhere an ordinary body element can. They contain arbitrary body elements. Typically, an admonition is rendered as an offset block in a document, sometimes outlined or shaded, with a title matching the admonition type. For example:: .. DANGER:: Beware killer rabbits! This directive might be rendered something like this:: +------------------------+ | !DANGER! | | | | Beware killer rabbits! | +------------------------+ The following admonition directives have been implemented: - attention - caution - danger - error - hint - important - note - tip - warning Any text immediately following the directive indicator (on the same line and/or indented on following lines) is interpreted as a directive block and is parsed for normal body elements. For example, the following "note" admonition directive contains one paragraph and a bullet list consisting of two list items:: .. note:: This is a note admonition. This is the second line of the first paragraph. - The note contains all indented body elements following. - It includes this bullet list. Generic Admonition ================== :Directive Type: "admonition" :Doctree Elements: admonition_, title_ :Directive Arguments: One, required (admonition title) :Directive Options: class_, name_ :Directive Content: Interpreted as body elements. This is a generic, titled admonition. The title may be anything the author desires. The author-supplied title is also used as a `"classes"`_ attribute value after being converted into a valid identifier form (down-cased; non-alphanumeric characters converted to single hyphens; "admonition-" prefixed). For example, this admonition:: .. admonition:: And, by the way... You can make up your own admonition too. becomes the following document tree (pseudo-XML):: <document source="test data"> <admonition classes="admonition-and-by-the-way"> <title> And, by the way... <paragraph> You can make up your own admonition too. The class_ option overrides the computed `"classes"`_ attribute value. -------- Images -------- There are two image directives: "image" and "figure". .. attention:: It is up to the author to ensure compatibility of the image data format with the output format or user agent (LaTeX engine, `HTML browser`__). The following, non exhaustive table provides an overview: =========== ====== ====== ===== ===== ===== ===== ===== ===== ===== ===== .. vector image raster image moving image [#]_ ----------- ------------- ----------------------------- ----------------- .. SVG PDF PNG JPG GIF APNG AVIF WebM MP4 OGG =========== ====== ====== ===== ===== ===== ===== ===== ===== ===== ===== HTML4_ ✓ [#]_ ✓ ✓ ✓ (✓) (✓) HTML5_ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ LaTeX_ [#]_ ✓ ✓ ✓ ODT_ ✓ ✓ ✓ ✓ ✓ =========== ====== ====== ===== ===== ===== ===== ===== ===== ===== ===== .. [#] The `html5 writer`_ uses the ``<video>`` tag if the image URI ends with an extension matching one of the listed video formats (since Docutils 0.17). .. [#] The html4 writer uses an ``<object>`` tag for SVG images for better compatibility with older browsers. .. [#] When compiling with ``pdflatex``, ``xelatex``, or ``lualatex``. The original ``latex`` engine supports only the EPS image format. Some build systems, e.g. rubber_ support additional formats via on-the-fly image conversion. __ https://developer.mozilla.org/en-US/docs/Web/Media/Formats/Image_types .. _HTML4: .. _html4 writer: ../../user/html.html#html4css1 .. _HTML5: .. _html5 writer: ../../user/html.html#html5-polyglot .. _LaTeX: ../../user/latex.html#image-inclusion .. _ODT: ../../user/odt.html .. _rubber: https://github.com/petrhosek/rubber Image ===== :Directive Type: "image" :Doctree Element: image_ :Directive Arguments: One, required (image URI). :Directive Options: Possible (see below). :Directive Content: None. An "image" is a simple picture:: .. image:: picture.png Inline images can be defined with an "image" directive in a `substitution definition`_ The URI for the image source file is specified in the directive argument. As with hyperlink targets, the image URI may begin on the same line as the explicit markup start and target name, or it may begin in an indented text block immediately following, with no intervening blank lines. If there are multiple lines in the link block, they are stripped of leading and trailing whitespace and joined together. Optionally, the image link block may contain a flat field list, the _`image options`. For example:: .. image:: picture.jpeg :height: 100px :width: 200 px :scale: 50 % :alt: alternate text :align: right The following options are recognized: ``alt`` : text Alternate text: a short description of the image, displayed by applications that cannot display images, or spoken by applications for visually impaired users. ``height`` : `length`_ The desired height of the image. Used to reserve space or scale the image vertically. When the "scale" option is also specified, they are combined. For example, a height of 200px and a scale of 50 is equivalent to a height of 100px with no scale. ``width`` : `length`_ or `percentage`_ of the current line width The width of the image. Used to reserve space or scale the image horizontally. As with "height" above, when the "scale" option is also specified, they are combined. ``scale`` : integer percentage (the "%" symbol is optional) The uniform scaling factor of the image. The default is "100 %", i.e. no scaling. If no "height" or "width" options are specified, the `Python Imaging Library` (PIL/Pillow_) may be used to determine them, if it is installed and the image file is available. ``align`` : "top", "middle", "bottom", "left", "center", or "right" The alignment of the image, equivalent to the HTML ``<img>`` tag's deprecated "align" attribute or the corresponding "vertical-align" and "text-align" CSS properties. The values "top", "middle", and "bottom" control an image's vertical alignment (relative to the text baseline); they are only useful for inline images (substitutions). The values "left", "center", and "right" control an image's horizontal alignment, allowing the image to float and have the text flow around it. The specific behavior depends upon the browser or rendering software used. ``target`` : text (URI or reference name) Makes the image into a hyperlink reference ("clickable"). The option argument may be a URI (relative or absolute), or a `reference name`_ with underscore suffix (e.g. ```a name`_``). and the common options class_ and name_. Figure ====== :Directive Type: "figure" :Doctree Elements: figure_, image_, caption_, legend_ :Directive Arguments: One, required (image URI). :Directive Options: Possible (see below). :Directive Content: Interpreted as the figure caption and an optional legend. A "figure" consists of image_ data (including `image options`_), an optional caption (a single paragraph), and an optional legend (arbitrary body elements). For page-based output media, figures might float to a different position if this helps the page layout. :: .. figure:: picture.png :scale: 50 % :alt: map to buried treasure This is the caption of the figure (a simple paragraph). The legend consists of all elements after the caption. In this case, the legend consists of this paragraph and the following table: +-----------------------+-----------------------+ | Symbol | Meaning | +=======================+=======================+ | .. image:: tent.png | Campground | +-----------------------+-----------------------+ | .. image:: waves.png | Lake | +-----------------------+-----------------------+ | .. image:: peak.png | Mountain | +-----------------------+-----------------------+ There must be blank lines before the caption paragraph and before the legend. To specify a legend without a caption, use an empty comment ("..") in place of the caption. The "figure" directive supports all of the options of the "image" directive (see `image options`_ above). These options (except "align") are passed on to the contained image. ``align`` : "left", "center", or "right" The horizontal alignment of the figure, allowing the image to float and have the text flow around it. The specific behavior depends upon the browser or rendering software used. In addition, the following options are recognized: ``figwidth`` : "image", length_, or percentage_ of current line width The width of the figure. Limits the horizontal space used by the figure. A special value of "image" is allowed, in which case the included image's actual width is used (requires the `Python Imaging Library`_). If the image file is not found or the required software is unavailable, this option is ignored. Sets the "width" attribute of the "figure" doctree element. This option does not scale the included image; use the "width" `image`_ option for that. :: +---------------------------+ | figure | | | |<------ figwidth --------->| | | | +---------------------+ | | | image | | | | | | | |<--- width --------->| | | +---------------------+ | | | |The figure's caption should| |wrap at this width. | +---------------------------+ ``figclass`` : text Set a `"classes"`_ attribute value on the figure element. See the class_ directive below. .. _Python Imaging Library: .. _Pillow: https://pypi.org/project/Pillow/ --------------- Body Elements --------------- Topic ===== :Directive Type: "topic" :Doctree Element: topic_ :Directive Arguments: One, required (topic title). :Directive Options: class_, name_ :Directive Content: Interpreted as the topic body. A topic is like a block quote with a title, or a self-contained section with no subsections. Use the "topic" directive to indicate a self-contained idea that is separate from the flow of the document. Topics may occur anywhere a section or transition may occur. Body elements and topics may not contain nested topics. The directive's sole argument is interpreted as the topic title; the next line must be blank. All subsequent lines make up the topic body, interpreted as body elements. For example:: .. topic:: Topic Title Subsequent indented lines comprise the body of the topic, and are interpreted as body elements. Sidebar ======= :Directive Type: "sidebar" :Doctree Element: sidebar_ :Directive Arguments: One, optional (sidebar title). :Directive Options: Possible (see below). :Directive Content: Interpreted as the sidebar body. Sidebars are like miniature, parallel documents that occur inside other documents, providing related or reference material. A sidebar is typically offset by a border and "floats" to the side of the page; the document's main text may flow around it. Sidebars can also be likened to super-footnotes; their content is outside of the flow of the document's main text. Sidebars may occur anywhere a section or transition may occur. Body elements (including sidebars) may not contain nested sidebars. The directive's sole argument is interpreted as the sidebar title, which may be followed by a subtitle option (see below); the next line must be blank. All subsequent lines make up the sidebar body, interpreted as body elements. For example:: .. sidebar:: Optional Sidebar Title :subtitle: Optional Sidebar Subtitle Subsequent indented lines comprise the body of the sidebar, and are interpreted as body elements. The following options are recognized: ``subtitle`` : text The sidebar's subtitle. and the common options class_ and name_. Line Block ========== .. admonition:: Deprecated The "line-block" directive is deprecated. Use the `line block syntax`_ instead. .. _line block syntax: restructuredtext.html#line-blocks :Directive Type: "line-block" :Doctree Element: line_block_ :Directive Arguments: None. :Directive Options: class_, name_ :Directive Content: Becomes the body of the line block. The "line-block" directive constructs an element where line breaks and initial indentation is significant and inline markup is supported. It is equivalent to a `parsed literal block`_ with different rendering: typically in an ordinary serif typeface instead of a typewriter/monospaced face, and not automatically indented. (Have the line-block directive begin a block quote to get an indented line block.) Line blocks are useful for address blocks and verse (poetry, song lyrics), where the structure of lines is significant. For example, here's a classic:: "To Ma Own Beloved Lassie: A Poem on her 17th Birthday", by Ewan McTeagle (for Lassie O'Shea): .. line-block:: Lend us a couple of bob till Thursday. I'm absolutely skint. But I'm expecting a postal order and I can pay you back as soon as it comes. Love, Ewan. .. _parsed-literal: Parsed Literal Block ==================== :Directive Type: "parsed-literal" :Doctree Element: literal_block_ :Directive Arguments: None. :Directive Options: class_, name_ :Directive Content: Becomes the body of the literal block. Unlike an ordinary literal block, the "parsed-literal" directive constructs a literal block where the text is parsed for inline markup. It is equivalent to a `line block`_ with different rendering: typically in a typewriter/monospaced typeface, like an ordinary literal block. Parsed literal blocks are useful for adding hyperlinks to code examples. However, care must be taken with the text, because inline markup is recognized and there is no protection from parsing. Backslash-escapes may be necessary to prevent unintended parsing. And because the markup characters are removed by the parser, care must also be taken with vertical alignment. Parsed "ASCII art" is tricky, and extra whitespace may be necessary. For example, all the element names in this content model are links:: .. parsed-literal:: ( (title_, subtitle_?)?, decoration_?, (docinfo_, transition_?)?, `%structure.model;`_ ) Code ==== :Directive Type: "code" :Doctree Element: literal_block_, `inline elements`_ :Directive Arguments: One, optional (formal language). :Directive Options: name, class, number-lines. :Directive Content: Becomes the body of the literal block. :Configuration Setting: syntax_highlight_. The "code" directive constructs a literal block. If the code language is specified, the content is parsed by the Pygments_ syntax highlighter and tokens are stored in nested `inline elements`_ with class arguments according to their syntactic category. The actual highlighting requires a style-sheet (e.g. one `generated by Pygments`__, see the `sandbox/stylesheets`__ for examples). The parsing can be turned off with the syntax_highlight_ configuration setting and command line option or by specifying the language as class_ option instead of directive argument. This also avoids warnings when Pygments_ is not installed or the language is not in the `supported languages and markup formats`_. For inline code, use the `"code" role`_. __ https://pygments.org/docs/cmdline/#generating-styles __ https://docutils.sourceforge.io/sandbox/stylesheets/ .. _Pygments: https://pygments.org/ .. _syntax_highlight: ../../user/config.html#syntax-highlight .. _supported languages and markup formats: https://pygments.org/languages/ .. _"code" role: roles.html#code The following options are recognized: ``number-lines`` : [integer] (start line number) Precede every line with a line number. The optional argument is the number of the first line (default 1). and the common options class_ and name_. Example:: The content of the following directive :: .. code:: python def my_function(): "just a test" print 8/2 is parsed and marked up as Python source code. Math ==== :Directive Type: "math" :Doctree Element: math_block_ :Directive Arguments: None. :Directive Options: class_, name_ :Directive Content: Becomes the body of the math block. (Content blocks separated by a blank line are put in adjacent math blocks.) :Configuration Setting: math_output_ The "math" directive inserts blocks with mathematical content (display formulas, equations) into the document. The input format is `LaTeX math syntax`_ with support for Unicode symbols, for example:: .. math:: α_t(i) = P(O_1, O_2, … O_t, q_t = S_i λ) Support is limited to a subset of *LaTeX math* by the conversion required for many output formats. For HTML, the `math_output`_ configuration setting (or the corresponding ``--math-output`` command line option) select between alternative output formats with different subsets of supported elements. If a writer does not support math typesetting, the content is inserted verbatim. For inline formulas, use the `"math" role`_. .. _LaTeX math syntax: ../../ref/rst/mathematics.html .. _"math" role: roles.html#math .. _math_output: ../../user/config.html#math-output Rubric ====== :Directive Type: "rubric" :Doctree Element: rubric_ :Directive Arguments: One, required (rubric text). :Directive Options: class_, name_ :Directive Content: None. .. rubric n. 1. a title, heading, or the like, in a manuscript, book, statute, etc., written or printed in red or otherwise distinguished from the rest of the text. ... -- Random House Webster's College Dictionary, 1991 The "rubric" directive inserts a "rubric" element into the document tree. A rubric is like an informal heading that doesn't correspond to the document's structure. Epigraph ======== :Directive Type: "epigraph" :Doctree Element: block_quote_ :Directive Arguments: None. :Directive Options: None. :Directive Content: Interpreted as the body of the block quote. An epigraph is an apposite (suitable, apt, or pertinent) short inscription, often a quotation or poem, at the beginning of a document or section. The "epigraph" directive produces an "epigraph"-class block quote. For example, this input:: .. epigraph:: No matter where you go, there you are. -- Buckaroo Banzai becomes this document tree fragment:: <block_quote classes="epigraph"> <paragraph> No matter where you go, there you are. <attribution> Buckaroo Banzai Highlights ========== :Directive Type: "highlights" :Doctree Element: block_quote_ :Directive Arguments: None. :Directive Options: None. :Directive Content: Interpreted as the body of the block quote. Highlights summarize the main points of a document or section, often consisting of a list. The "highlights" directive produces a "highlights"-class block quote. See Epigraph_ above for an analogous example. Pull-Quote ========== :Directive Type: "pull-quote" :Doctree Element: block_quote_ :Directive Arguments: None. :Directive Options: None. :Directive Content: Interpreted as the body of the block quote. A pull-quote is a small selection of text "pulled out and quoted", typically in a larger typeface. Pull-quotes are used to attract attention, especially in long articles. The "pull-quote" directive produces a "pull-quote"-class block quote. See Epigraph_ above for an analogous example. Compound Paragraph ================== :Directive Type: "compound" :Doctree Element: compound_ :Directive Arguments: None. :Directive Options: class_, name_ :Directive Content: Interpreted as body elements. The "compound" directive is used to create a compound paragraph, which is a single logical paragraph containing multiple physical body elements such as simple paragraphs, literal blocks, tables, lists, etc., instead of directly containing text and inline elements. For example:: .. compound:: The 'rm' command is very dangerous. If you are logged in as root and enter :: cd / rm -rf * you will erase the entire contents of your file system. In the example above, a literal block is "embedded" within a sentence that begins in one physical paragraph and ends in another. .. note:: The "compound" directive is *not* a generic block-level container like HTML's ``<div>`` element. Do not use it only to group a sequence of elements, or you may get unexpected results. If you need a generic block-level container, please use the container_ directive, described below. Compound paragraphs are typically rendered as multiple distinct text blocks, with the possibility of variations to emphasize their logical unity: * If paragraphs are rendered with a first-line indent, only the first physical paragraph of a compound paragraph should have that indent -- second and further physical paragraphs should omit the indents; * vertical spacing between physical elements may be reduced; * and so on. Container ========= :Directive Type: "container" :Doctree Element: `container <container element_>`__ :Directive Arguments: One or more, optional (class names). :Directive Options: name_ :Directive Content: Interpreted as body elements. The "container" directive surrounds its contents (arbitrary body elements) with a generic block-level "container" element. Combined with the optional "classes_" attribute argument(s), this is an extension mechanism for users & applications. For example:: .. container:: custom This paragraph might be rendered in a custom way. Parsing the above results in the following pseudo-XML:: <container classes="custom"> <paragraph> This paragraph might be rendered in a custom way. The "container" directive is the equivalent of HTML's ``<div>`` element. It may be used to group a sequence of elements for user- or application-specific purposes. -------- Tables -------- Formal tables need more structure than the reStructuredText syntax supplies. Tables may be given titles with the table_ directive. Sometimes reStructuredText tables are inconvenient to write, or table data in a standard format is readily available. The csv-table_ directive supports CSV data. Table ===== :Directive Type: "table" :Doctree Element: table_ :Directive Arguments: One, optional (table title). :Directive Options: Possible (see below). :Directive Content: A normal `reStructuredText table`_. The "table" directive is used to associate a title with a table or specify options, e.g.:: .. table:: Truth table for "not" :widths: auto ===== ===== A not A ===== ===== False True True False ===== ===== The following options are recognized: ``align`` : "left", "center", or "right" The horizontal alignment of the table (new in Docutils 0.13). ``width`` : `length`_ or `percentage`_ Sets the width of the table to the specified length or percentage of the line width. If omitted, the renderer determines the width of the table based on its contents or the column ``widths``. .. _column-widths: ``widths`` : "auto", "grid", or a list of integers Explicitly set column widths. Specifies relative widths if used with the ``width`` option. Overrides a `table_style`_ setting or class value "colwidths-auto". The default depends on the `table_style`_ configuration setting. *"auto"* delegates the determination of column widths to the backend (LaTeX, the HTML browser, ...). Default for the `html5 writer`_ *"grid"* determines column widths from the widths of the input columns (in characters). Default for most writers. A *list of integers* is used instead of the input column widths. Implies *"grid"*. Plus the common options class_ and name_. .. _reStructuredText table: restructuredtext.html#tables .. _table_style: ../../user/config.html#table-style .. _csv-table: CSV Table ========= :Directive Type: "csv-table" :Doctree Element: table_ :Directive Arguments: One, optional (table title). :Directive Options: Possible (see below). :Directive Content: A CSV (comma-separated values) table. .. WARNING:: The "csv-table" directive's ":file:" and ":url:" options represent a potential security holes. They can be disabled with the "file_insertion_enabled_" runtime setting. The "csv-table" directive is used to create a table from CSV (comma-separated values) data. CSV is a common data format generated by spreadsheet applications and commercial databases. The data may be internal (an integral part of the document) or external (a separate file). * Block markup and inline markup within cells is supported. Line ends are recognized within cells. * There is no support for checking that the number of columns in each row is the same. The directive automatically adds empty entries at the end of short rows. .. Add "strict" option to verify input? Example:: .. csv-table:: Frozen Delights! :header: "Treat", "Quantity", "Description" :widths: 15, 10, 30 "Albatross", 2.99, "On a stick!" "Crunchy Frog", 1.49, "If we took the bones out, it wouldn't be crunchy, now would it?" "Gannet Ripple", 1.99, "On a stick!" The following options are recognized: ``align`` : "left", "center", or "right" The horizontal alignment of the table. (New in Docutils 0.13) ``delim`` : char | "tab" | "space" [#whitespace-delim]_ A one-character string\ [#ASCII-char]_ used to separate fields. Defaults to ``,`` (comma). May be specified as a Unicode code point; see the unicode_ directive for syntax details. ``encoding`` : string The text encoding of the external CSV data (file or URL). Defaults to the document's input_encoding_. ``escape`` : char A one-character\ [#ASCII-char]_ string used to escape the delimiter or quote characters. May be specified as a Unicode code point; see the unicode_ directive for syntax details. Used when the delimiter is used in an unquoted field, or when quote characters are used within a field. The default is to double-up the character, e.g. "He said, ""Hi!""" .. Add another possible value, "double", to explicitly indicate the default case? ``file`` : string (newlines removed) The local filesystem path to a CSV data file. ``header`` : CSV data Supplemental data for the table header, added independently of and before any ``header-rows`` from the main CSV data. Must use the same CSV format as the main CSV data. ``header-rows`` : integer The number of rows of CSV data to use in the table header. Defaults to 0. ``keepspace`` : flag (empty) Treat whitespace immediately following the delimiter as significant. The default is to ignore such whitespace. ``quote`` : char A one-character string\ [#ASCII-char]_ used to quote elements containing the delimiter or which start with the quote character. Defaults to ``"`` (quote). May be specified as a Unicode code point; see the unicode_ directive for syntax details. ``stub-columns`` : integer The number of table columns to use as stubs (row titles, on the left). Defaults to 0. ``url`` : string (whitespace removed) An Internet URL reference to a CSV data file. ``widths`` : integer [integer...] or "auto" A list of relative column widths. The default is equal-width columns (100%/#columns). "auto" delegates the determination of column widths to the backend (LaTeX, the HTML browser, ...). ``width`` : `length`_ or `percentage`_ Sets the width of the table to the specified length or percentage of the line width. If omitted, the renderer determines the width of the table based on its contents or the column ``widths``. and the common options class_ and name_. .. [#whitespace-delim] Whitespace delimiters are supported only for external CSV files. .. [#ASCII-char] With Python 2, the values for the ``delimiter``, ``quote``, and ``escape`` options must be ASCII characters. (The csv module does not support Unicode and all non-ASCII characters are encoded as multi-byte utf-8 string). This limitation does not exist under Python 3. List Table ========== :Directive Type: "list-table" :Doctree Element: table_ :Directive Arguments: One, optional (table title). :Directive Options: Possible (see below). :Directive Content: A uniform two-level bullet list. (This is an initial implementation; `further ideas`__ may be implemented in the future.) __ ../../dev/rst/alternatives.html#list-driven-tables The "list-table" directive is used to create a table from data in a uniform two-level bullet list. "Uniform" means that each sublist (second-level list) must contain the same number of list items. Example:: .. list-table:: Frozen Delights! :widths: 15 10 30 :header-rows: 1 * - Treat - Quantity - Description * - Albatross - 2.99 - On a stick! * - Crunchy Frog - 1.49 - If we took the bones out, it wouldn't be crunchy, now would it? * - Gannet Ripple - 1.99 - On a stick! The following options are recognized: ``align`` : "left", "center", or "right" The horizontal alignment of the table. (New in Docutils 0.13) ``header-rows`` : integer The number of rows of list data to use in the table header. Defaults to 0. ``stub-columns`` : integer The number of table columns to use as stubs (row titles, on the left). Defaults to 0. .. _table width: ``width`` : `length`_ or `percentage`_ Sets the width of the table to the specified length or percentage of the line width. If omitted, the renderer determines the width of the table based on its contents or the column ``widths``. .. _column widths: ``widths`` : integer [integer...] or "auto" A list of relative column widths. The default is equal-width columns (100%/#columns). "auto" delegates the determination of column widths to the backend (LaTeX, the HTML browser, ...). and the common options class_ and name_. ---------------- Document Parts ---------------- .. _contents: Table of Contents ================= :Directive Type: "contents" :Doctree Elements: pending_, topic_ :Directive Arguments: One, optional: title. :Directive Options: Possible (see below). :Directive Content: None. The "contents" directive generates a table of contents (TOC) in a topic_. Topics, and therefore tables of contents, may occur anywhere a section or transition may occur. Body elements and topics may not contain tables of contents. Here's the directive in its simplest form:: .. contents:: Language-dependent boilerplate text will be used for the title. The English default title text is "Contents". An explicit title may be specified:: .. contents:: Table of Contents The title may span lines, although it is not recommended:: .. contents:: Here's a very long Table of Contents title Options may be specified for the directive, using a field list:: .. contents:: Table of Contents :depth: 2 If the default title is to be used, the options field list may begin on the same line as the directive marker:: .. contents:: :depth: 2 The following options are recognized: ``depth`` : integer The number of section levels that are collected in the table of contents. The default is unlimited depth. ``local`` : flag (empty) Generate a local table of contents. Entries will only include subsections of the section in which the directive is given. If no explicit title is given, the table of contents will not be titled. ``backlinks`` : "entry" or "top" or "none" Generate links from section headers back to the table of contents entries, the table of contents itself, or generate no back-links. ``class`` : text Set a `"classes"`_ attribute value on the topic element. See the class_ directive below. .. _sectnum: .. _section-numbering: Automatic Section Numbering =========================== :Directive Type: "sectnum" or "section-numbering" (synonyms) :Doctree Elements: pending_, generated_ :Directive Arguments: None. :Directive Options: Possible (see below). :Directive Content: None. :Configuration Setting: sectnum_xform_ The "sectnum" (or "section-numbering") directive automatically numbers sections and subsections in a document (if not disabled by the ``--no-section-numbering`` command line option or the `sectnum_xform`_ configuration setting). Section numbers are of the "multiple enumeration" form, where each level has a number, separated by periods. For example, the title of section 1, subsection 2, subsubsection 3 would have "1.2.3" prefixed. The "sectnum" directive does its work in two passes: the initial parse and a transform. During the initial parse, a "pending" element is generated which acts as a placeholder, storing any options internally. At a later stage in the processing, the "pending" element triggers a transform, which adds section numbers to titles. Section numbers are enclosed in a "generated" element, and titles have their "auto" attribute set to "1". The following options are recognized: ``depth`` : integer The number of section levels that are numbered by this directive. The default is unlimited depth. ``prefix`` : string An arbitrary string that is prefixed to the automatically generated section numbers. It may be something like "3.2.", which will produce "3.2.1", "3.2.2", "3.2.2.1", and so on. Note that any separating punctuation (in the example, a period, ".") must be explicitly provided. The default is no prefix. ``suffix`` : string An arbitrary string that is appended to the automatically generated section numbers. The default is no suffix. ``start`` : integer The value that will be used for the first section number. Combined with ``prefix``, this may be used to force the right numbering for a document split over several source files. The default is 1. .. _sectnum_xform: ../../user/config.html#sectnum-xform .. _header: .. _footer: Document Header & Footer ======================== :Directive Types: "header" and "footer" :Doctree Elements: decoration_, header, footer :Directive Arguments: None. :Directive Options: None. :Directive Content: Interpreted as body elements. The "header" and "footer" directives create document decorations, useful for page navigation, notes, time/datestamp, etc. For example:: .. header:: This space for rent. This will add a paragraph to the document header, which will appear at the top of the generated web page or at the top of every printed page. These directives may be used multiple times, cumulatively. There is currently support for only one header and footer. .. note:: While it is possible to use the "header" and "footer" directives to create navigational elements for web pages, you should be aware that Docutils is meant to be used for *document* processing, and that a navigation bar is not typically part of a document. Thus, you may soon find Docutils' abilities to be insufficient for these purposes. At that time, you should consider using a documentation generator like Sphinx_ rather than the "header" and "footer" directives. .. _Sphinx: http://sphinx-doc.org/ In addition to the use of these directives to populate header and footer content, content may also be added automatically by the processing system. For example, if certain runtime settings are enabled, the document footer is populated with processing information such as a datestamp, a link to `the Docutils website`_, etc. .. _the Docutils website: https://docutils.sourceforge.io ------------ References ------------ .. _target-notes: Target Footnotes ================ :Directive Type: "target-notes" :Doctree Elements: pending_, footnote_, footnote_reference_ :Directive Arguments: None. :Directive Options: class_, name_ :Directive Options: Possible (see below). :Directive Content: None. The "target-notes" directive creates a footnote for each external target in the text, and corresponding footnote references after each reference. For every explicit target (of the form, ``.. _target name: URL``) in the text, a footnote will be generated containing the visible URL as content. Footnotes ========= **NOT IMPLEMENTED YET** :Directive Type: "footnotes" :Doctree Elements: pending_, topic_ :Directive Arguments: None? :Directive Options: Possible? :Directive Content: None. @@@ Citations ========= **NOT IMPLEMENTED YET** :Directive Type: "citations" :Doctree Elements: pending_, topic_ :Directive Arguments: None? :Directive Options: Possible? :Directive Content: None. @@@ --------------- HTML-Specific --------------- Imagemap ======== **NOT IMPLEMENTED YET** Non-standard element: imagemap. ----------------------------------------- Directives for Substitution Definitions ----------------------------------------- The directives in this section may only be used in `substitution definitions`_. They may not be used directly, in standalone context. The `image`_ directive may be used both in substitution definitions and in the standalone context. .. _substitution definitions: .. _substitution definition: restructuredtext.html#substitution-definitions .. _replace: Replacement Text ================ :Directive Type: "replace" :Doctree Element: Text & `inline elements`_ :Directive Arguments: None. :Directive Options: None. :Directive Content: A single paragraph; may contain inline markup. The "replace" directive is used to indicate replacement text for a substitution reference. It may be used within `substitution definitions`_ only. For example, this directive can be used to expand abbreviations:: .. |reST| replace:: reStructuredText Yes, |reST| is a long word, so I can't blame anyone for wanting to abbreviate it. As reStructuredText doesn't support nested inline markup, the only way to create a reference with styled text is to use substitutions with the "replace" directive:: I recommend you try |Python|_. .. |Python| replace:: Python, *the* best language around .. _Python: https://www.python.org/ .. _unicode: Unicode Character Codes ======================= :Directive Type: "unicode" :Doctree Element: Text :Directive Arguments: One or more, required (Unicode character codes, optional text, and comments). :Directive Options: Possible (see below). :Directive Content: None. The "unicode" directive converts Unicode character codes (numerical values) to characters, and may be used in `substitution definitions`_ only. The arguments, separated by spaces, can be: * **character codes** as - decimal numbers or - hexadecimal numbers, prefixed by ``0x``, ``x``, ``\x``, ``U+``, ``u``, or ``\u`` or as XML-style hexadecimal character entities, e.g. ``ᨫ`` * **text**, which is used as-is. Text following " .. " is a comment and is ignored. The spaces between the arguments are ignored and thus do not appear in the output. Hexadecimal codes are case-insensitive. For example, the following text:: Copyright |copy| 2003, |BogusMegaCorp (TM)| |---| all rights reserved. .. |copy| unicode:: 0xA9 .. copyright sign .. |BogusMegaCorp (TM)| unicode:: BogusMegaCorp U+2122 .. with trademark sign .. |---| unicode:: U+02014 .. em dash :trim: results in: Copyright |copy| 2003, |BogusMegaCorp (TM)| |---| all rights reserved. .. |copy| unicode:: 0xA9 .. copyright sign .. |BogusMegaCorp (TM)| unicode:: BogusMegaCorp U+2122 .. with trademark sign .. |---| unicode:: U+02014 .. em dash :trim: The following options are recognized: ``ltrim`` : flag (empty) Whitespace to the left of the substitution reference is removed. ``rtrim`` : flag (empty) Whitespace to the right of the substitution reference is removed. ``trim`` : flag (empty) Equivalent to ``ltrim`` plus ``rtrim``; whitespace on both sides of the substitution reference is removed. Date ==== :Directive Type: "date" :Doctree Element: Text :Directive Arguments: One, optional (date format). :Directive Options: None. :Directive Content: None. The "date" directive generates the current local date and inserts it into the document as text. This directive may be used in substitution definitions only. The optional directive content is interpreted as the desired date format, using the same codes as Python's `time.strftime()`__ function. The default format is "%Y-%m-%d" (ISO 8601 date), but time fields can also be used. Examples:: .. |date| date:: .. |time| date:: %H:%M Today's date is |date|. This document was generated on |date| at |time|. __ https://docs.python.org/3/library/time.html#time.strftime --------------- Miscellaneous --------------- .. _include: Including an External Document Fragment ======================================= :Directive Type: "include" :Doctree Elements: Depend on data being included (literal_block_ with ``code`` or ``literal`` option). :Directive Arguments: One, required (path to the file to include). :Directive Options: Possible (see below). :Directive Content: None. :Configuration Setting: file_insertion_enabled_ .. WARNING:: The "include" directive represents a potential security hole. It can be disabled with the "file_insertion_enabled_" runtime setting. .. _file_insertion_enabled: ../../user/config.html#file-insertion-enabled The "include" directive reads a text file. The directive argument is the path to the file to be included, relative to the document containing the directive. Unless the options ``literal``, ``code``, or ``parser`` are given, the file is parsed in the current document's context at the point of the directive. For example:: This first example will be parsed at the document level, and can thus contain any construct, including section headers. .. include:: inclusion.txt Back in the main document. This second example will be parsed in a block quote context. Therefore it may only contain body elements. It may not contain section headers. .. include:: inclusion.txt If an included document fragment contains section structure, the title adornments must match those of the master document. Standard data files intended for inclusion in reStructuredText documents are distributed with the Docutils source code, located in the "docutils" package in the ``docutils/parsers/rst/include`` directory. To access these files, use the special syntax for standard "include" data files, angle brackets around the file name:: .. include:: <isonum.txt> The current set of standard "include" data files consists of sets of substitution definitions. See `reStructuredText Standard Definition Files`__ for details. __ definitions.html The following options are recognized: ``start-line`` : integer Only the content starting from this line will be included. (As usual in Python, the first line has index 0 and negative values count from the end.) ``end-line`` : integer Only the content up to (but excluding) this line will be included. ``start-after`` : text to find in the external data file Only the content after the first occurrence of the specified text will be included. ``end-before`` : text to find in the external data file Only the content before the first occurrence of the specified text (but after any ``after`` text) will be included. ``parser`` : parser name Parse the included content with the specified parser. (New in Docutils 0.17) ``literal`` : flag (empty) The entire included text is inserted into the document as a single literal block. ``code`` : [string] (formal language) The argument and the included content are passed to the code_ directive (useful for program listings). ``number-lines`` : [integer] (start line number) Precede every code line with a line number. The optional argument is the number of the first line (default 1). Works only with ``code`` or ``literal``. ``encoding`` : string The text encoding of the external data file. Defaults to the document's input_encoding_. .. _input_encoding: ../../user/config.html#input-encoding ``tab-width`` : integer Number of spaces for hard tab expansion. A negative value prevents expansion of hard tabs. Defaults to the tab_width_ configuration setting. .. _tab_width: ../../user/config.html#tab-width With ``code`` or ``literal`` the common options class_ and name_ are recognized as well. Combining ``start/end-line`` and ``start-after/end-before`` is possible. The text markers will be searched in the specified lines (further limiting the included content). .. _raw-directive: Raw Data Pass-Through ===================== :Directive Type: "raw" :Doctree Element: raw_ :Directive Arguments: One or more, required (output format types). :Directive Options: Possible (see below). :Directive Content: Stored verbatim, uninterpreted. None (empty) if a "file" or "url" option given. :Configuration Setting: raw_enabled_ .. WARNING:: The "raw" directive represents a potential security hole. It can be disabled with the "raw_enabled_" or "file_insertion_enabled_" runtime settings. .. _raw_enabled: ../../user/config.html#raw-enabled .. Caution:: The "raw" directive is a stop-gap measure allowing the author to bypass reStructuredText's markup. It is a "power-user" feature that should not be overused or abused. The use of "raw" ties documents to specific output formats and makes them less portable. If you often need to use the "raw" directive or a "raw"-derived interpreted text role, that is a sign either of overuse/abuse or that functionality may be missing from reStructuredText. Please describe your situation in a message to the Docutils-users_ mailing list. .. _Docutils-users: ../../user/mailing-lists.html#docutils-users The "raw" directive indicates non-reStructuredText data that is to be passed untouched to the Writer. The names of the output formats are given in the directive arguments. The interpretation of the raw data is up to the Writer. A Writer may ignore any raw output not matching its format. For example, the following input would be passed untouched by an HTML writer:: .. raw:: html <hr width=50 size=10> A LaTeX Writer could insert the following raw content into its output stream:: .. raw:: latex \setlength{\parindent}{0pt} Raw data can also be read from an external file, specified in a directive option. In this case, the content block must be empty. For example:: .. raw:: html :file: inclusion.html Inline equivalents of the "raw" directive can be defined via `custom interpreted text roles`_ derived from the `"raw" role`_. The following options are recognized: ``file`` : string (newlines removed) The local filesystem path of a raw data file to be included. ``url`` : string (whitespace removed) An Internet URL reference to a raw data file to be included. ``encoding`` : string The text encoding of the external raw data (file or URL). Defaults to the document's encoding (if specified). and the common option class_. .. _"raw" role: roles.html#raw .. _classes: Class ===== :Directive Type: "class" :Doctree Element: pending_ :Directive Arguments: One or more, required (class names / attribute values). :Directive Options: None. :Directive Content: Optional. If present, it is interpreted as body elements. The "class" directive sets the `"classes"`_ attribute value on its content or on the first immediately following [#]_ non-comment element [#]_. The directive argument consists of one or more space-separated class names. The names are transformed to conform to the regular expression ``[a-z](-?[a-z0-9]+)*`` (see `Identifier Normalization`_ below). Examples:: .. class:: special This is a "special" paragraph. .. class:: exceptional remarkable An Exceptional Section ====================== This is an ordinary paragraph. .. class:: multiple First paragraph. Second paragraph. The text above is parsed and transformed into this doctree fragment:: <paragraph classes="special"> This is a "special" paragraph. <section classes="exceptional remarkable"> <title> An Exceptional Section <paragraph> This is an ordinary paragraph. <paragraph classes="multiple"> First paragraph. <paragraph classes="multiple"> Second paragraph. .. [#] This is also true, if the class directive is "nested" at the end of an indented text block, for example:: .. note:: the class values set in this directive-block do not apply to the note but the next paragraph. .. class:: special This is a paragraph with class value "special". This allows the "classification" of individual list items (except the first, as a preceding class directive applies to the list as a whole):: * bullet list .. class:: classy item * second item, with class argument .. [#] To set a "classes" attribute value on a block quote, the "class" directive must be followed by an empty comment:: .. class:: highlights .. Block quote text. Without the empty comment, the indented text would be interpreted as the "class" directive's content, and the classes would be applied to each element (paragraph, in this case) individually, instead of to the block quote as a whole. Identifier Normalization ~~~~~~~~~~~~~~~~~~~~~~~~ Docutils `class names`_ and `identifier keys`_ are normalized to conform to the regular expression "``[a-z](-?[a-z0-9]+)*``" by converting * alphabetic characters to lowercase, * accented characters to the base character, * non-alphanumeric characters to hyphens, * consecutive hyphens into one hyphen and stripping * leading hyphens and number characters, and * trailing hyphens. For example ``"Rot.Gelb&Grün:+2008"`` becomes ``"rot-gelb-grun-2008"`` and ``"1000_Steps!"`` becomes ``"steps"``. .. topic:: Rationale: Identifier keys must be valid in all supported output formats. For HTML 4.1 + CSS1 compatibility, identifiers should have no underscores, colons, or periods. Hyphens may be used. - The `HTML 4.01 spec`_ defines identifiers based on SGML tokens: ID and NAME tokens must begin with a letter ([A-Za-z]) and may be followed by any number of letters, digits ([0-9]), hyphens ("-"), underscores ("_"), colons (":"), and periods ("."). -- https://www.w3.org/TR/html401/types.html#type-name - The `CSS1 spec`_ defines identifiers based on the "name" token ("flex" tokenizer notation below; "latin1" and "escape" 8-bit characters have been replaced with XML entities):: unicode \\[0-9a-f]{1,4} latin1 [¡-ÿ] escape {unicode}|\\[ -~¡-ÿ] nmchar [-A-Za-z0-9]|{latin1}|{escape} name {nmchar}+ The CSS1 rule requires underscores ("_"), colons (":"), and periods (".") to be escaped [#]_, therefore `"classes"`_ and `"ids"`_ attributes should not contain these characters. Combined with HTML4.1 requirements (the first character must be a letter; no "unicode", "latin1", or "escape" characters), this results in the regular expression ``[A-Za-z][-A-Za-z0-9]*``. Docutils adds a normalization by downcasing and merge of consecutive hyphens. .. [#] CSS identifiers may use underscores ("_") directly in `CSS Level 1`__, `CSS2.1`__, CSS2.2__, and CSS3__. __ https://www.w3.org/TR/CSS21/syndata.html#value-def-identifier __ https://www.w3.org/TR/CSS/#css-level-1 __ https://www.w3.org/TR/CSS22/syndata.html __ https://www.w3.org/TR/css-syntax-3/#typedef-ident-token .. _HTML 4.01 spec: https://www.w3.org/TR/html401/ .. _CSS1 spec: https://www.w3.org/TR/REC-CSS1 .. _role: Custom Interpreted Text Roles ============================= :Directive Type: "role" :Doctree Element: None; affects subsequent parsing. :Directive Arguments: Two; one required (new `role name`_), one optional (base role name, in parentheses). :Directive Options: Possible (depends on base role). :Directive Content: depends on base role. The "role" directive dynamically creates a custom `interpreted text role`_ and registers it with the parser. This means that after declaring a role like this:: .. role:: custom the document may use the new "custom" role:: An example of using :custom:`interpreted text` This will be parsed into the following document tree fragment:: <paragraph> An example of using <inline classes="custom"> interpreted text The role must be declared in a document before it can be used. .. _role name: Role names are case insensitive and must conform to the rules of simple `reference names`_ (but do not share a namespace with hyperlinks, footnotes, and citations). The new role may be based on an existing role, specified as a second argument in parentheses (whitespace optional):: .. role:: custom(emphasis) :custom:`text` The parsed result is as follows:: <paragraph> <emphasis classes="custom"> text A special case is the `"raw" role`_: derived roles enable inline `raw data pass-through`_, e.g.:: .. role:: raw-role(raw) :format: html latex :raw-role:`raw text` If no base role is explicitly specified, a generic custom role is automatically used. Subsequent interpreted text will produce an "inline" element with a `"classes"`_ attribute, as in the first example above. With most roles, the ":class:" option can be used to set a "classes" attribute that is different from the role name. For example:: .. role:: custom :class: special :custom:`interpreted text` This is the parsed result:: <paragraph> <inline classes="special"> interpreted text .. _role class: The following option is recognized by the "role" directive for most base roles: ``class`` : text Set the `"classes"`_ attribute value on the element produced (``inline``, or element associated with a base class) when the custom interpreted text role is used. If no directive options are specified, a "class" option with the directive argument (role name) as the value is implied. See the class_ directive above. Specific base roles may support other options and/or directive content. See the `reStructuredText Interpreted Text Roles`_ document for details. .. _reStructuredText Interpreted Text Roles: roles.html .. _default-role: Setting the Default Interpreted Text Role ========================================= :Directive Type: "default-role" :Doctree Element: None; affects subsequent parsing. :Directive Arguments: One, optional (new default role name). :Directive Options: None. :Directive Content: None. The "default-role" directive sets the default interpreted text role, the role that is used for interpreted text without an explicit role. For example, after setting the default role like this:: .. default-role:: subscript any subsequent use of implicit-role interpreted text in the document will use the "subscript" role:: An example of a `default` role. This will be parsed into the following document tree fragment:: <paragraph> An example of a <subscript> default role. Custom roles may be used (see the "role_" directive above), but it must have been declared in a document before it can be set as the default role. See the `reStructuredText Interpreted Text Roles`_ document for details of built-in roles. The directive may be used without an argument to restore the initial default interpreted text role, which is application-dependent. The initial default interpreted text role of the standard reStructuredText parser is "title-reference". Metadata ======== :Directive Type: "meta" :Doctree Element: meta_ :Directive Arguments: None. :Directive Options: None. :Directive Content: Must contain a flat field list. The "meta" directive is used to specify metadata\ [#]_ to be stored in, e.g., `HTML meta elements`_ or as `ODT file properties`_. The LaTeX writer passes it to the ``pdfinfo`` option of the hyperref_ package. If an output format does not support "invisible" metadata, content is silently dropped by the writer. .. note:: Data from some `bibliographic fields`_ is automatically extracted and stored as metadata, too. However, Bibliographic Fields are also displayed in the document's screen rendering or printout. For an "invisible" *document title*, see the `metadata document title`_ directive below. Within the directive block, a flat field list provides the syntax for metadata. The field name becomes the contents of the "name" attribute of the META tag, and the field body (interpreted as a single string without inline markup) becomes the contents of the "content" attribute. For example:: .. meta:: :description: The reStructuredText plaintext markup language :keywords: plaintext, markup language This would be converted to the following HTML:: <meta name="description" content="The reStructuredText plaintext markup language"> <meta name="keywords" content="plaintext, markup language"> Support for other META attributes ("http-equiv", "scheme", "lang", "dir") are provided through field arguments, which must be of the form "attr=value":: .. meta:: :description lang=en: An amusing story :description lang=fr: Une histoire amusante And their HTML equivalents:: <meta name="description" lang="en" content="An amusing story"> <meta name="description" lang="fr" content="Une histoire amusante"> Some META tags use an "http-equiv" attribute instead of the "name" attribute. To specify "http-equiv" META tags, simply omit the name:: .. meta:: :http-equiv=Content-Type: text/html; charset=ISO-8859-1 HTML equivalent:: <meta http-equiv="Content-Type" content="text/html; charset=ISO-8859-1"> .. [#] "Metadata" is data about data, in this case data about the document. Metadata is, e.g., used to describe and classify web pages in the World Wide Web, in a form that is easy for search engines to extract and collate. .. _HTML meta elements: https://html.spec.whatwg.org/multipage/semantics.html#the-meta-element .. _ODT file properties: https://en.wikipedia.org/wiki/OpenDocument_technical_specification#Metadata .. _hyperref: https://ctan.org/pkg/hyperref .. _bibliographic fields: restructuredtext.html#bibliographic-fields Metadata Document Title ======================= :Directive Type: "title" :Doctree Element: Sets the document's `title attribute`_. :Directive Arguments: One, required (the title text). :Directive Options: None. :Directive Content: None. The "title" directive specifies the document title as metadata, which does not become part of the document body. It overrides the document-supplied `document title`_ and the `"title" configuration setting`_. For example, in HTML output the metadata document title appears in the title bar of the browser window. .. _document title: restructuredtext.html#document-title .. _"title" configuration setting: ../../user/config.html#title Restructuredtext-Test-Directive =============================== :Directive Type: "restructuredtext-test-directive" :Doctree Element: system_warning :Directive Arguments: None. :Directive Options: None. :Directive Content: Interpreted as a literal block. This directive is provided for test purposes only. (Nobody is expected to type in a name *that* long!) It is converted into a level-1 (info) system message showing the directive data, possibly followed by a literal block containing the rest of the directive block. -------------- Common Options -------------- Most of the directives that generate doctree elements support the following options: .. _class-option: .. _class: ``class`` : text (space separated list of `class names`_) Set a `"classes"`_ attribute value on the doctree element generated by the directive. See also the class_ directive. .. _name: ``name`` : text Add `text` to the `"names"`_ attribute of the doctree element generated by the directive. This allows `hyperlink references`_ to the element using `text` as `reference name`_. Specifying the `name` option of a directive, e.g., :: .. image:: bild.png :name: my picture is a concise syntax alternative to preceding it with a `hyperlink target`_ :: .. _my picture: .. image:: bild.png .. _reference name: .. _reference names: restructuredtext.html#reference-names .. _hyperlink target: restructuredtext.html#hyperlink-targets .. _hyperlink references: restructuredtext.html#hyperlink-references .. _class names: ../doctree.html#classnames-type .. _"classes": ../doctree.html#classes .. _identifier keys: ../doctree.html#ids-type .. _"ids": ../doctree.html#ids .. _"names": ../doctree.html#names .. _admonition: ../doctree.html#admonition .. _block_quote: ../doctree.html#block-quote .. _caption: ../doctree.html#caption .. _compound: ../doctree.html#compound .. _container element: ../doctree.html#container .. _decoration: ../doctree.html#decoration .. _figure: ../doctree.html#figure .. _footnote: ../doctree.html#footnote .. _footnote_reference: ../doctree.html#footnote-reference .. _generated: ../doctree.html#generated .. _image: ../doctree.html#image .. _inline elements: ../doctree.html#inline-elements .. _interpreted text role: roles.html .. _literal_block: ../doctree.html#literal-block .. _legend: ../doctree.html#legend .. _length: restructuredtext.html#length-units .. _line_block: ../doctree.html#line-block .. _math_block: ../doctree.html#math-block .. _meta: ../doctree.html#meta .. _pending: ../doctree.html#pending .. _percentage: restructuredtext.html#percentage-units .. _raw: ../doctree.html#raw .. _rubric: ../doctree.html#rubric .. _sidebar: ../doctree.html#sidebar .. _table: ../doctree.html#table .. _title: ../doctree.html#title .. _title attribute: ../doctree.html#title-attribute .. _topic: ../doctree.html#topic .. Local Variables: mode: indented-text indent-tabs-mode: nil sentence-end-double-space: t fill-column: 70 End: �������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������introduction.txt������������������������������������������������������������������������������������0000664�0000000�0000000�00000033132�15141625651�0034413�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000�pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/ref/rst���������������������������������������������������������������������������������===================================== An Introduction to reStructuredText ===================================== :Author: David Goodger :Contact: docutils-develop@lists.sourceforge.net :Revision: $Revision$ :Date: $Date$ :Copyright: This document has been placed in the public domain. reStructuredText_ is an easy-to-read, what-you-see-is-what-you-get plaintext markup syntax and parser system. It is useful for inline program documentation (such as Python docstrings), for quickly creating simple web pages, and for standalone documents. reStructuredText_ is a proposed revision and reinterpretation of the StructuredText_ and Setext_ lightweight markup systems. reStructuredText is designed for extensibility for specific application domains. Its parser is a component of Docutils_. This document defines the goals_ of reStructuredText and provides a history_ of the project. It is written using the reStructuredText markup, and therefore serves as an example of its use. For a gentle introduction to using reStructuredText, please read `A ReStructuredText Primer`_. The `Quick reStructuredText`_ user reference is also useful. The `reStructuredText Markup Specification`_ is the definitive reference. There is also an analysis of the `Problems With StructuredText`_. ReStructuredText's web page is https://docutils.sourceforge.io/rst.html. .. _reStructuredText: https://docutils.sourceforge.io/rst.html .. _StructuredText: https://zopestructuredtext.readthedocs.org/ .. _Setext: https://docutils.sourceforge.io/mirror/setext.html .. _Docutils: https://docutils.sourceforge.io/ .. _A ReStructuredText Primer: ../../user/rst/quickstart.html .. _Quick reStructuredText: ../../user/rst/quickref.html .. _reStructuredText Markup Specification: restructuredtext.html .. _Problems with StructuredText: ../../dev/rst/problems.html Goals ===== The primary goal of reStructuredText_ is to define a markup syntax for use in Python docstrings and other documentation domains, that is readable and simple, yet powerful enough for non-trivial use. The intended purpose of the reStructuredText markup is twofold: - the establishment of a set of standard conventions allowing the expression of structure within plaintext, and - the conversion of such documents into useful structured data formats. The secondary goal of reStructuredText is to be accepted by the Python community (by way of being blessed by PythonLabs and the BDFL [#]_) as a standard for Python inline documentation (possibly one of several standards, to account for taste). .. [#] Python's creator and "Benevolent Dictator For Life", Guido van Rossum. To clarify the primary goal, here are specific design goals, in order, beginning with the most important: 1. Readable. The marked-up text must be easy to read without any prior knowledge of the markup language. It should be as easily read in raw form as in processed form. 2. Unobtrusive. The markup that is used should be as simple and unobtrusive as possible. The simplicity of markup constructs should be roughly proportional to their frequency of use. The most common constructs, with natural and obvious markup, should be the simplest and most unobtrusive. Less common constructs, for which there is no natural or obvious markup, should be distinctive. 3. Unambiguous. The rules for markup must not be open for interpretation. For any given input, there should be one and only one possible output (including error output). 4. Unsurprising. Markup constructs should not cause unexpected output upon processing. As a fallback, there must be a way to prevent unwanted markup processing when a markup construct is used in a non-markup context (for example, when documenting the markup syntax itself). 5. Intuitive. Markup should be as obvious and easily remembered as possible, for the author as well as for the reader. Constructs should take their cues from such naturally occurring sources as plaintext email messages, newsgroup postings, and text documentation such as README.txt files. 6. Easy. It should be easy to mark up text using any ordinary text editor. 7. Scalable. The markup should be applicable regardless of the length of the text. 8. Powerful. The markup should provide enough constructs to produce a reasonably rich structured document. 9. Language-neutral. The markup should apply to multiple natural (as well as artificial) languages, not only English. 10. Extensible. The markup should provide a simple syntax and interface for adding more complex general markup, and custom markup. 11. Output-format-neutral. The markup will be appropriate for processing to multiple output formats, and will not be biased toward any particular format. The design goals above were used as criteria for accepting or rejecting syntax, or selecting between alternatives. It is emphatically *not* the goal of reStructuredText to define docstring semantics, such as docstring contents or docstring length. These issues are orthogonal to the markup syntax and beyond the scope of this specification. Also, it is not the goal of reStructuredText to maintain compatibility with StructuredText_ or Setext_. reStructuredText shamelessly steals their great ideas and ignores the not-so-great. Author's note: Due to the nature of the problem we're trying to solve (or, perhaps, due to the nature of the proposed solution), the above goals unavoidably conflict. I have tried to extract and distill the wisdom accumulated over the years in the Python Doc-SIG_ mailing list and elsewhere, to come up with a coherent and consistent set of syntax rules, and the above goals by which to measure them. There will inevitably be people who disagree with my particular choices. Some desire finer control over their markup, others prefer less. Some are concerned with very short docstrings, others with full-length documents. This specification is an effort to provide a reasonably rich set of markup constructs in a reasonably simple form, that should satisfy a reasonably large group of reasonable people. David Goodger (goodger@python.org), 2001-04-20 .. _Doc-SIG: https://www.python.org/sigs/doc-sig/ History ======= reStructuredText_, the specification, is based on StructuredText_ and Setext_. StructuredText was developed by Jim Fulton of `Zope Corporation`_ (formerly Digital Creations) and first released in 1996. It is now released as a part of the open-source "Z Object Publishing Environment" (ZOPE_). Ian Feldman's and Tony Sanders' earlier Setext_ specification was either an influence on StructuredText or, by their similarities, at least evidence of the correctness of this approach. I discovered StructuredText_ in late 1999 while searching for a way to document the Python modules in one of my projects. Version 1.1 of StructuredText was included in Daniel Larsson's pythondoc_. Although I was not able to get pythondoc to work for me, I found StructuredText to be almost ideal for my needs. I joined the Python Doc-SIG_ (Documentation Special Interest Group) mailing list and found an ongoing discussion of the shortcomings of the StructuredText "standard". This discussion has been going on since the inception of the mailing list in 1996, and possibly predates it. I decided to modify the original module with my own extensions and some suggested by the Doc-SIG members. I soon realized that the module was not written with extension in mind, so I embarked upon a general reworking, including adapting it to the "re" regular expression module (the original inspiration for the name of this project). Soon after I completed the modifications, I discovered that StructuredText.py was up to version 1.23 in the ZOPE distribution. Implementing the new syntax extensions from version 1.23 proved to be an exercise in frustration, as the complexity of the module had become overwhelming. In 2000, development on StructuredTextNG ("Next Generation") began at `Zope Corporation`_ (then Digital Creations). It seems to have many improvements, but still suffers from many of the problems of classic StructuredText. I decided that a complete rewrite was in order, and even started a `reStructuredText SourceForge project`_ (now inactive). My motivations (the "itches" I aim to "scratch") are as follows: - I need a standard format for inline documentation of the programs I write. This inline documentation has to be convertible to other useful formats, such as HTML. I believe many others have the same need. - I believe in the Setext/StructuredText idea and want to help formalize the standard. However, I feel the current specifications and implementations have flaws that desperately need fixing. - reStructuredText could form part of the foundation for a documentation extraction and processing system, greatly benefitting Python. But it is only a part, not the whole. reStructuredText is a markup language specification and a reference parser implementation, but it does not aspire to be the entire system. I don't want reStructuredText or a hypothetical Python documentation processor to die stillborn because of over-ambition. - Most of all, I want to help ease the documentation chore, the bane of many a programmer. Unfortunately I was sidetracked and stopped working on this project. In November 2000 I made the time to enumerate the problems of StructuredText and possible solutions, and complete the first draft of a specification. This first draft was posted to the Doc-SIG in three parts: - `A Plan for Structured Text`__ - `Problems With StructuredText`__ - `reStructuredText: Revised Structured Text Specification`__ __ https://mail.python.org/pipermail/doc-sig/2000-November/001239.html __ https://mail.python.org/pipermail/doc-sig/2000-November/001240.html __ https://mail.python.org/pipermail/doc-sig/2000-November/001241.html In March 2001 a flurry of activity on the Doc-SIG spurred me to further revise and refine my specification, the result of which you are now reading. An offshoot of the reStructuredText project has been the realization that a single markup scheme, no matter how well thought out, may not be enough. In order to tame the endless debates on Doc-SIG, a flexible `Docstring Processing System framework`_ needed to be constructed. This framework has become the more important of the two projects; reStructuredText_ has found its place as one possible choice for a single component of the larger framework. The project web site and the first project release were rolled out in June 2001, including posting the second draft of the spec [#spec-2]_ and the first draft of PEPs 256, 257, and 258 [#peps-1]_ to the Doc-SIG. These documents and the project implementation proceeded to evolve at a rapid pace. Implementation history details can be found in the `project history file`_. In November 2001, the reStructuredText parser was nearing completion. Development of the parser continued with the addition of small convenience features, improvements to the syntax, the filling in of gaps, and bug fixes. After a long holiday break, in early 2002 most development moved over to the other Docutils components, the "Readers", "Writers", and "Transforms". A "standalone" reader (processes standalone text file documents) was completed in February, and a basic HTML writer (producing HTML 4.01, using CSS-1) was completed in early March. `PEP 287`_, "reStructuredText Standard Docstring Format", was created to formally propose reStructuredText as a standard format for Python docstrings, PEPs, and other files. It was first posted to comp.lang.python_ and the Python-dev_ mailing list on 2002-04-02. Version 0.4 of the reStructuredText__ and `Docstring Processing System`_ projects were released in April 2002. The two projects were immediately merged, renamed to "Docutils_", and a 0.1 release soon followed. .. __: `reStructuredText SourceForge project`_ .. [#spec-2] The second draft of the spec: - `An Introduction to reStructuredText`__ - `Problems With StructuredText`__ - `reStructuredText Markup Specification`__ - `Python Extensions to the reStructuredText Markup Specification`__ __ https://mail.python.org/pipermail/doc-sig/2001-June/001858.html __ https://mail.python.org/pipermail/doc-sig/2001-June/001859.html __ https://mail.python.org/pipermail/doc-sig/2001-June/001860.html __ https://mail.python.org/pipermail/doc-sig/2001-June/001861.html .. [#peps-1] First drafts of the PEPs: - `PEP 256: Docstring Processing System Framework`__ - `PEP 258: DPS Generic Implementation Details`__ - `PEP 257: Docstring Conventions`__ Current working versions of the PEPs can be found in https://docutils.sourceforge.io/docs/peps/, and official versions can be found in the `master PEP repository`_. __ https://mail.python.org/pipermail/doc-sig/2001-June/001855.html __ https://mail.python.org/pipermail/doc-sig/2001-June/001856.html __ https://mail.python.org/pipermail/doc-sig/2001-June/001857.html .. _Zope Corporation: http://www.zope.com .. _ZOPE: https://www.zope.dev .. _reStructuredText SourceForge project: http://structuredtext.sourceforge.net/ .. _pythondoc: http://starship.python.net/crew/danilo/pythondoc/ .. _project history file: ../../../HISTORY.html .. _PEP 287: ../../peps/pep-0287.html .. _Docstring Processing System framework: ../../peps/pep-0256.html .. _comp.lang.python: news:comp.lang.python .. _Python-dev: https://mail.python.org/pipermail/python-dev/ .. _Docstring Processing System: http://docstring.sourceforge.net/ .. _master PEP repository: https://peps.python.org/ .. Local Variables: mode: indented-text indent-tabs-mode: nil sentence-end-double-space: t fill-column: 70 End: ��������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������mathematics.txt�������������������������������������������������������������������������������������0000664�0000000�0000000�00000143764�15141625651�0034206�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000�pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/ref/rst���������������������������������������������������������������������������������============================ LaTeX syntax for mathematics ============================ .. role:: m(math) .. default-role:: math .. |latex| replace:: L\ :sup:`A`\ T\ :sub:`E`\ X :abstract: Docutils supports mathematical content with a `"math" directive`__ and `role`__. The input format is *LaTeX math syntax*\ [#math-syntax]_ with support for Unicode symbols. .. sectnum:: .. contents:: __ https://docutils.sourceforge.io/docs/ref/rst/directives.html#math __ https://docutils.sourceforge.io/docs/ref/rst/roles.html#math Inline formulas and displayed equations ======================================= The **math role** can be used for inline mathematical expressions: ``:math:`\psi(r) = \exp(-2r)``` will produce :m:`\psi(r)=\exp(-2r)`. Inside the backtics you can write anything you would write between dollar signs in a LaTeX document. [#math-syntax]_   .. tip:: If you put ``.. default-role:: math`` at the top of your document, you can write ```x^2``` instead of the longer version: ``:math:`x^2```. You can also introduce an abbreviation like this ``.. role:: m(math)``. That will allow you to write ``:m:`x^2``` or ```x^2`:m:``. The **math directive** is used for displayed equations. It corresponds to an ``equation*`` or ``align*`` environment in a LaTeX document. If you write:: .. math:: \psi(r) = e^{-2r} you will get: .. math:: \psi(r) = e^{-2r} A more complex example is the definition of the `Fourier transform`_:: .. math:: :name: Fourier transform (\mathcal{F}f)(y) = \frac{1}{\sqrt{2\pi}^{\ n}} \int_{\mathbb{R}^n} f(x)\, e^{-\mathrm{i} y \cdot x} \,\mathrm{d} x. which is rendered as: .. math:: :name: Fourier transform (\mathcal{F}f)(y) = \frac{1}{\sqrt{2\pi}^{\ n}} \int_{\mathbb{R}^n} f(x)\, e^{-\mathrm{i} y \cdot x} \,\mathrm{d} x. The ``:name:`` option puts a label on the equation that can be linked to by `hyperlink references`_. Displayed equations can use ``\\`` and ``&`` for line shifts and alignments:: .. math:: a &= (x + y)^2 & b &= (x - y)^2 \\ &= x^2 + 2xy + y^2 & &= x^2 - 2xy + y^2 LaTeX output will wrap it in an ``align*`` environment. The result is: .. math:: a &= (x + y)^2 & b &= (x - y)^2 \\ &= x^2 + 2xy + y^2 & &= x^2 - 2xy + y^2 .. [#math-syntax] The supported LaTeX commands include AMS extensions (see, e.g., the `Short Math Guide`_). Some of the shown symbols require the "amssymb" `LaTeX package`_ (or another package providing the AMS symbol macros) when exported with the "latex" writer. The support is limited to a subset of *LaTeX math* by the conversion required for many output formats. For HTML, the `math_output`_ configuration setting (or the corresponding ``--math-output`` command line option) selects between alternative output formats with different subsets of supported elements. If a writer does not support math typesetting, the content is inserted verbatim. .. _hyperlink references: ../ref/rst/restructuredtext.html#hyperlink-references .. _Short Math Guide: https://mirrors.ctan.org/info/short-math-guide/short-math-guide.pdf .. _math_output: https://docutils.sourceforge.io/docs/user/config.html#math-output .. _LaTeX package: ../../user/latex.html#latex-document-classes-and-packages Mathematical symbols ==================== The following tables are adapted from the first edition of "The LaTeX Companion" (Goossens, Mittelbach, Samarin) and the AMS `Short Math Guide`_. Accents and embellishments -------------------------- The "narrow" accents are intended for a single-letter base. .. class:: colwidths-auto =========== ============= =========== ============= ============== ================ `\acute{x}` ``\acute{x}`` `\dot{t}` ``\dot{t}`` `\hat{x}` ``\hat{x}`` `\bar{v}` ``\bar{v}`` `\ddot{t}` ``\ddot{t}`` `\mathring{x}` ``\mathring{x}`` `\breve{x}` ``\breve{x}`` `\dddot{t}` ``\dddot{t}`` `\tilde{n}` ``\tilde{n}`` `\check{x}` ``\check{x}`` `\grave{x}` ``\grave{x}`` `\vec{x}` ``\vec{x}`` =========== ============= =========== ============= ============== ================ When adding an accent to an i or j in math, dotless variants can be obtained with ``\imath`` and ``\jmath``: `\hat \imath`, `\vec{\jmath}`. For embellishments that span multiple symbols, use: .. class:: colwidths-auto ========================== ============================ =========================== ============================= `\widetilde{gbi}` ``\widetilde{gbi}`` `\widehat{gbi}` ``\widehat{gbi}`` `\overline{gbi}` ``\overline{gbi}`` `\underline{gbi}` ``\underline{gbi}`` `\overbrace{gbi}` ``\overbrace{gbi}`` `\underbrace{gbi}` ``\underbrace{gbi}`` `\overleftarrow{gbi}` ``\overleftarrow{gbi}`` `\underleftarrow{gbi}` ``\underleftarrow{gbi}`` `\overrightarrow{gbi}` ``\overrightarrow{gbi}`` `\underrightarrow{gbi}` ``\underrightarrow{gbi}`` `\overleftrightarrow{gbi}` ``\overleftrightarrow{gbi}`` `\underleftrightarrow{gbi}` ``\underleftrightarrow{gbi}`` ========================== ============================ =========================== ============================= Binary operators ---------------- .. class:: colwidths-auto ================== ==================== ================= =================== ================== ==================== `*` ``*`` `\circledast` ``\circledast`` `\ominus` ``\ominus`` `+` ``+`` `\circledcirc` ``\circledcirc`` `\oplus` ``\oplus`` `-` ``-`` `\circleddash` ``\circleddash`` `\oslash` ``\oslash`` `:` ``:`` `\cup` ``\cup`` `\otimes` ``\otimes`` `\Cap` ``\Cap`` `\curlyvee` ``\curlyvee`` `\pm` ``\pm`` `\Cup` ``\Cup`` `\curlywedge` ``\curlywedge`` `\rightthreetimes` ``\rightthreetimes`` `\amalg` ``\amalg`` `\dagger` ``\dagger`` `\rtimes` ``\rtimes`` `\ast` ``\ast`` `\ddagger` ``\ddagger`` `\setminus` ``\setminus`` `\bigcirc` ``\bigcirc`` `\diamond` ``\diamond`` `\smallsetminus` ``\smallsetminus`` `\bigtriangledown` ``\bigtriangledown`` `\div` ``\div`` `\sqcap` ``\sqcap`` `\bigtriangleup` ``\bigtriangleup`` `\divideontimes` ``\divideontimes`` `\sqcup` ``\sqcup`` `\boxdot` ``\boxdot`` `\dotplus` ``\dotplus`` `\star` ``\star`` `\boxminus` ``\boxminus`` `\doublebarwedge` ``\doublebarwedge`` `\times` ``\times`` `\boxplus` ``\boxplus`` `\gtrdot` ``\gtrdot`` `\triangleleft` ``\triangleleft`` `\boxtimes` ``\boxtimes`` `\intercal` ``\intercal`` `\triangleright` ``\triangleright`` `\bullet` ``\bullet`` `\leftthreetimes` ``\leftthreetimes`` `\uplus` ``\uplus`` `\cap` ``\cap`` `\lessdot` ``\lessdot`` `\vee` ``\vee`` `\cdot` ``\cdot`` `\ltimes` ``\ltimes`` `\veebar` ``\veebar`` `\centerdot` ``\centerdot`` `\mp` ``\mp`` `\wedge` ``\wedge`` `\circ` ``\circ`` `\odot` ``\odot`` `\wr` ``\wr`` ================== ==================== ================= =================== ================== ==================== Extensible delimiters --------------------- Unless you indicate otherwise, delimiters in math formulas remain at the standard size regardless of the height of the enclosed material. To get adaptable sizes, use ``\left`` and ``\right`` prefixes, for example `g(A,B,Y) = f \left(A,B,X=h^{[X]}(Y)\right)` or .. math:: a_n = \left(\frac{1}{2}\right)^n Use ``.`` for "empty" delimiters: .. math:: A = \left . \frac{1}{1-n}\, \right |_{n=0}^\infty See also the commands for fixed `delimiter sizes`_ below. The following symbols extend when used with ``\left`` and ``\right``: Pairing delimiters ~~~~~~~~~~~~~~~~~~ .. class:: colwidths-auto =============== ================= ========================= =========================== `( )` ``( )`` `\langle \rangle` ``\langle \rangle`` `[ ]` ``[ ]`` `\lceil \rceil` ``\lceil \rceil`` `\{ \}` ``\{ \}`` `\lfloor \rfloor` ``\lfloor \rfloor`` `\lvert \rvert` ``\lvert \rvert`` `\lgroup \rgroup` ``\lgroup \rgroup`` `\lVert \rVert` ``\lVert \rVert`` `\lmoustache \rmoustache` ``\lmoustache \rmoustache`` =============== ================= ========================= =========================== Nonpairing delimiters ~~~~~~~~~~~~~~~~~~~~~ .. class:: colwidths-auto ==== ====== ============ ============== ============ ============== `|` ``|`` `\vert` ``\vert`` `\arrowvert` ``\arrowvert`` `\|` ``\|`` `\Vert` ``\Vert`` `\Arrowvert` ``\Arrowvert`` `/` ``/`` `\backslash` ``\backslash`` `\bracevert` ``\bracevert`` ==== ====== ============ ============== ============ ============== The use of ``|`` and ``\|`` for pairs of vertical bars may produce incorrect spacing, e.g., ``|k|=|-k|`` produces `|k| = |−k|` and ``|\sin(x)|`` produces `|\sin(x)|`. The pairing delimiters, e.g. `\lvert -k\rvert` and `\lvert\sin(x)\rvert`, prevent this problem (in LaTeX and MathJax). .. TODO: fix spacing before unary minus (see also cases example below). Extensible vertical arrows -------------------------- .. class:: colwidths-auto =============================== ====================================== `\uparrow` ``\uparrow`` `\Uparrow` ``\Uparrow`` `\downarrow` ``\downarrow`` `\Downarrow` ``\Downarrow`` `\updownarrow` ``\updownarrow`` `\Updownarrow` ``\Updownarrow`` =============================== ====================================== Functions (named operators) --------------------------- .. class:: colwidths-auto ========= =========== ========= =========== ============= ================ `\arccos` ``\arccos`` `\gcd` ``\gcd`` `\Pr` ``\Pr`` `\arcsin` ``\arcsin`` `\hom` ``\hom`` `\projlim` ``\projlim`` `\arctan` ``\arctan`` `\inf` ``\inf`` `\sec` ``\sec`` `\arg` ``\arg`` `\injlim` ``\injlim`` `\sin` ``\sin`` `\cos` ``\cos`` `\ker` ``\ker`` `\sinh` ``\sinh`` `\cosh` ``\cosh`` `\lg` ``\lg`` `\sup` ``\sup`` `\cot` ``\cot`` `\lim` ``\lim`` `\tan` ``\tan`` `\coth` ``\coth`` `\liminf` ``\liminf`` `\tanh` ``\tanh`` `\csc` ``\csc`` `\limsup` ``\limsup`` `\varlimsup` ``\varlimsup`` `\deg` ``\deg`` `\ln` ``\ln`` `\varliminf` ``\varliminf`` `\det` ``\det`` `\log` ``\log`` `\varprojlim` ``\varprojlim`` `\dim` ``\dim`` `\max` ``\max`` `\varinjlim` ``\varinjlim`` `\exp` ``\exp`` `\min` ``\min`` ========= =========== ========= =========== ============= ================ Named operators outside the above list can be typeset with ``\operatorname{name}``, e.g. .. math:: \operatorname{sgn}(-3) = -1. .. TODO: \operatorname* for function name with limits. The ``\DeclareMathOperator`` command can only be used in the `LaTeX preamble`_. .. _LaTeX preamble: latex.html#latex-preamble Greek letters ------------- Greek letters that have Latin look-alikes are rarely used in math formulas and not supported by LaTeX. .. class:: colwidths-auto ========== ============ ========== ============ ========== ============ ============== =============== `\Gamma` ``\Gamma`` `\alpha` ``\alpha`` `\mu` ``\mu`` `\omega` ``\omega`` `\Delta` ``\Delta`` `\beta` ``\beta`` `\nu` ``\nu`` `\digamma` ``\digamma`` `\Lambda` ``\Lambda`` `\gamma` ``\gamma`` `\xi` ``\xi`` `\varepsilon` ``\varepsilon`` `\Phi` ``\Phi`` `\delta` ``\delta`` `\pi` ``\pi`` `\varkappa` ``\varkappa`` `\Pi` ``\Pi`` `\epsilon` ``\epsilon`` `\rho` ``\rho`` `\varphi` ``\varphi`` `\Psi` ``\Psi`` `\zeta` ``\zeta`` `\sigma` ``\sigma`` `\varpi` ``\varpi`` `\Sigma` ``\Sigma`` `\eta` ``\eta`` `\tau` ``\tau`` `\varrho` ``\varrho`` `\Theta` ``\Theta`` `\theta` ``\theta`` `\upsilon` ``\upsilon`` `\varsigma` ``\varsigma`` `\Upsilon` ``\Upsilon`` `\iota` ``\iota`` `\phi` ``\phi`` `\vartheta` ``\vartheta`` `\Xi` ``\Xi`` `\kappa` ``\kappa`` `\chi` ``\chi`` `\Omega` ``\Omega`` `\lambda` ``\lambda`` `\psi` ``\psi`` ========== ============ ========== ============ ========== ============ ============== =============== In LaTeX, the default font for capital Greek letters is upright/roman. *Italic* capital Greek letters can be obtained by loading a `package providing the "ISO" math style`__. They are used by default in MathML. Individual Greek italic capitals can also be achieved preceding the letter name with ``var`` like ``\varPhi``: `\varGamma\ \varDelta\ \varLambda\ \varPhi\ \varPi\ \varPsi\ \varSigma\ \varTheta\ \varUpsilon\ \varXi\ \varOmega` __ https://mirrors.ctan.org/macros/latex/contrib/isomath/isomath.html#table-2 Letterlike symbols ------------------ .. class:: colwidths-auto ============= =============== ========== ============ ========== ============ =========== ============= `\forall` ``\forall`` `\aleph` ``\aleph`` `\hbar` ``\hbar`` `\ell` ``\ell`` `\complement` ``\complement`` `\beth` ``\beth`` `\hslash` ``\hslash`` `\wp` ``\wp`` `\exists` ``\exists`` `\gimel` ``\gimel`` `\Im` ``\Im`` `\Re` ``\Re`` `\Finv` ``\Finv`` `\daleth` ``\daleth`` `\imath` ``\imath`` `\circledR` ``\circledR`` `\Game` ``\Game`` `\partial` ``\partial`` `\jmath` ``\jmath`` `\circledS` ``\circledS`` `\mho` ``\mho`` `\eth` ``\eth`` `\Bbbk` ``\Bbbk`` ============= =============== ========== ============ ========== ============ =========== ============= Mathematical Alphabets ---------------------- Mathematical alphabets select a combination of font attributes (shape, weight, family) [#]_. They are intended for mathematical variables where style variations are important semantically. .. class:: colwidths-auto =============== ============================ ========================== command example result =============== ============================ ========================== ``\mathbf`` ``\mathbf{r}^2=x^2+y^2+z^2`` `\mathbf{r}^2=x^2+y^2+z^2` ``\mathbb`` ``\mathbb{R \subset C}`` `\mathbb{R \subset C}` ``\mathcal`` ``\mathcal{F}f(x)`` `\mathcal{F}f(x)` ``\mathfrak`` ``\mathfrak{a}`` `\mathfrak{a}` ``\mathit`` ``\mathit{\Gamma}`` `\mathit{\Gamma}` ``\mathrm`` ``s_\mathrm{out}`` `s_\mathrm{out}` ``\mathsf`` ``\mathsf x`` `\mathsf x` ``\mathtt`` ``\mathtt{0.12}`` `\mathtt{0.12}` =============== ============================ ========================== .. [#] TeX’s *math alphabets* correspond to the `mathematical alphanumeric symbols`__ block in Unicode and the "mathvariant" `style attribute`__ in MathML. __ https://en.wikipedia.org/wiki/Mathematical_Alphanumeric_Symbols __ https://developer.mozilla.org/en-US/docs/Web/MathML/Attribute Additional alphabets are defined in LaTeX packages, e.g. .. class:: colwidths-auto =========== ============= ====================== TeX command LaTeX package MathML "mathvariant" =========== ============= ====================== mathbfit isomath_ bold-italic mathsfit isomath_ sans-serif-italic mathsfbfit isomath_ sans-serif-bold-italic mathscr mathrsfs_ script =========== ============= ====================== .. _isomath: https://www.ctan.org/pkg/isomath .. _mathrsfs: https://www.ctan.org/pkg/mathrsfs This can be used to typeset vector symbols in bold italic in line with the International Standard [ISO-80000-2]. .. ``\mathbfit{r}^2=x^2+y^2+z^2`` becomes .. math:: \mathbfit{r}^2=x^2+y^2+z^2. The package mathrsfs_ (and some drop-in replacements) define the ``\mathscr`` macro that selects a differently shaped "script" alphabet. Compare `\mathscr{A, B, …, Z, a, b, …, z}` with `\mathcal{A, B, …, Z, a, b, …, z}`. In contrast to the math alphabet selectors, ``\boldsymbol`` only changes the *font weight*. In LaTeX, it can be used to get a bold version of any mathematical symbol (for other output formats, results are mixed): .. math:: \boldsymbol{\cos(x)\pm\alpha \approx 3\Gamma \quad \forall x\in\mathbb{R}} Miscellaneous symbols --------------------- .. class:: colwidths-auto ==================== ====================== ================ ================== ================= =================== `\#` ``\#`` `\clubsuit` ``\clubsuit`` `\neg` ``\neg`` `\&` ``\&`` `\diamondsuit` ``\diamondsuit`` `\nexists` ``\nexists`` `\angle` ``\angle`` `\emptyset` ``\emptyset`` `\prime` ``\prime`` `\backprime` ``\backprime`` `\exists` ``\exists`` `\sharp` ``\sharp`` `\bigstar` ``\bigstar`` `\flat` ``\flat`` `\spadesuit` ``\spadesuit`` `\blacklozenge` ``\blacklozenge`` `\forall` ``\forall`` `\sphericalangle` ``\sphericalangle`` `\blacksquare` ``\blacksquare`` `\heartsuit` ``\heartsuit`` `\square` ``\square`` `\blacktriangle` ``\blacktriangle`` `\infty` ``\infty`` `\surd` ``\surd`` `\blacktriangledown` ``\blacktriangledown`` `\lozenge` ``\lozenge`` `\top` ``\top`` `\bot` ``\bot`` `\measuredangle` ``\measuredangle`` `\triangle` ``\triangle`` `\diagdown` ``\diagdown`` `\nabla` ``\nabla`` `\triangledown` ``\triangledown`` `\diagup` ``\diagup`` `\natural` ``\natural`` `\varnothing` ``\varnothing`` ==================== ====================== ================ ================== ================= =================== Punctuation ----------- .. class:: colwidths-auto === ===== ======== =============== ======== ========== `.` ``.`` `!` ``!`` `\vdots` ``\vdots`` `/` ``/`` `?` ``?`` `\dotsb` ``\dotsb`` `|` ``|`` `\colon` ``\colon`` [#]_ `\dotsc` ``\dotsc`` `'` ``'`` `\cdots` ``\cdots`` `\dotsi` ``\dotsi`` `;` ``;`` `\ddots` ``\ddots`` `\dotsm` ``\dotsm`` `:` ``:`` `\ldots` ``\ldots`` `\dotso` ``\dotso`` === ===== ======== =============== ======== ========== .. [#] Punctuation (not ratio): Compare spacing in `a\colon b\to c` to `a:b = c`. Relation symbols ---------------- Arrows ~~~~~~ .. class:: colwidths-auto ====================== ======================== ===================== ======================= `\circlearrowleft` ``\circlearrowleft`` `\circlearrowright` ``\circlearrowright`` `\curvearrowleft` ``\curvearrowleft`` `\curvearrowright` ``\curvearrowright`` `\hookleftarrow` ``\hookleftarrow`` `\hookrightarrow` ``\hookrightarrow`` `\leftarrow` ``\leftarrow`` `\rightarrow` ``\rightarrow`` `\Leftarrow` ``\Leftarrow`` `\Rightarrow` ``\Rightarrow`` `\leftarrowtail` ``\leftarrowtail`` `\rightarrowtail` ``\rightarrowtail`` `\leftharpoondown` ``\leftharpoondown`` `\rightharpoondown` ``\rightharpoondown`` `\leftharpoonup` ``\leftharpoonup`` `\rightharpoonup` ``\rightharpoonup`` `\leftleftarrows` ``\leftleftarrows`` `\rightrightarrows` ``\rightrightarrows`` `\leftrightarrow` ``\leftrightarrow`` `\Leftrightarrow` ``\Leftrightarrow`` `\leftrightarrows` ``\leftrightarrows`` `\rightleftarrows` ``\rightleftarrows`` `\leftrightharpoons` ``\leftrightharpoons`` `\rightleftharpoons` ``\rightleftharpoons`` `\leftrightsquigarrow` ``\leftrightsquigarrow`` `\rightsquigarrow` ``\rightsquigarrow`` `\Lleftarrow` ``\Lleftarrow`` `\Rrightarrow` ``\Rrightarrow`` `\longleftarrow` ``\longleftarrow`` `\longrightarrow` ``\longrightarrow`` `\Longleftarrow` ``\Longleftarrow`` `\Longrightarrow` ``\Longrightarrow`` `\longleftrightarrow` ``\longleftrightarrow`` `\Longleftrightarrow` ``\Longleftrightarrow`` `\looparrowleft` ``\looparrowleft`` `\looparrowright` ``\looparrowright`` `\Lsh` ``\Lsh`` `\Rsh` ``\Rsh`` `\mapsto` ``\mapsto`` `\longmapsto` ``\longmapsto`` `\multimap` ``\multimap`` `\nleftarrow` ``\nleftarrow`` `\nrightarrow` ``\nrightarrow`` `\nLeftarrow` ``\nLeftarrow`` `\nRightarrow` ``\nRightarrow`` `\nleftrightarrow` ``\nleftrightarrow`` `\nLeftrightarrow` ``\nLeftrightarrow`` `\nwarrow` ``\nwarrow`` `\nearrow` ``\nearrow`` `\swarrow` ``\swarrow`` `\searrow` ``\searrow`` `\twoheadleftarrow` ``\twoheadleftarrow`` `\twoheadrightarrow` ``\twoheadrightarrow`` `\upharpoonleft` ``\upharpoonleft`` `\upharpoonright` ``\upharpoonright`` `\downharpoonleft` ``\downharpoonleft`` `\downharpoonright` ``\downharpoonright`` `\upuparrows` ``\upuparrows`` `\downdownarrows` ``\downdownarrows`` ====================== ======================== ===================== ======================= Synonyms: `\gets` ``\gets``, `\to` ``\to``, `\restriction` ``\restriction``. Comparison ~~~~~~~~~~ .. class:: colwidths-auto ================ ================== ============= =============== ============= =============== =============== ================= `<` ``<`` `\geq` ``\geq`` `\ll` ``\ll`` `\prec` ``\prec`` `=` ``=`` `\geqq` ``\geqq`` `\lll` ``\lll`` `\precapprox` ``\precapprox`` `>` ``>`` `\geqslant` ``\geqslant`` `\lnapprox` ``\lnapprox`` `\preccurlyeq` ``\preccurlyeq`` `\approx` ``\approx`` `\gg` ``\gg`` `\lneq` ``\lneq`` `\preceq` ``\preceq`` `\approxeq` ``\approxeq`` `\ggg` ``\ggg`` `\lneqq` ``\lneqq`` `\precnapprox` ``\precnapprox`` `\asymp` ``\asymp`` `\gnapprox` ``\gnapprox`` `\lnsim` ``\lnsim`` `\precneqq` ``\precneqq`` `\backsim` ``\backsim`` `\gneq` ``\gneq`` `\ncong` ``\ncong`` `\precnsim` ``\precnsim`` `\backsimeq` ``\backsimeq`` `\gneqq` ``\gneqq`` `\neq` ``\neq`` `\precsim` ``\precsim`` `\bumpeq` ``\bumpeq`` `\gnsim` ``\gnsim`` `\ngeq` ``\ngeq`` `\risingdotseq` ``\risingdotseq`` `\Bumpeq` ``\Bumpeq`` `\gtrapprox` ``\gtrapprox`` `\ngeqq` ``\ngeqq`` `\sim` ``\sim`` `\circeq` ``\circeq`` `\gtreqless` ``\gtreqless`` `\ngeqslant` ``\ngeqslant`` `\simeq` ``\simeq`` `\cong` ``\cong`` `\gtreqqless` ``\gtreqqless`` `\ngtr` ``\ngtr`` `\succ` ``\succ`` `\curlyeqprec` ``\curlyeqprec`` `\gtrless` ``\gtrless`` `\nleq` ``\nleq`` `\succapprox` ``\succapprox`` `\curlyeqsucc` ``\curlyeqsucc`` `\gtrsim` ``\gtrsim`` `\nleqq` ``\nleqq`` `\succcurlyeq` ``\succcurlyeq`` `\doteq` ``\doteq`` `\leq` ``\leq`` `\nleqslant` ``\nleqslant`` `\succeq` ``\succeq`` `\doteqdot` ``\doteqdot`` `\leqq` ``\leqq`` `\nless` ``\nless`` `\succnapprox` ``\succnapprox`` `\eqcirc` ``\eqcirc`` `\leqslant` ``\leqslant`` `\nprec` ``\nprec`` `\succneqq` ``\succneqq`` `\eqsim` ``\eqsim`` `\lessapprox` ``\lessapprox`` `\npreceq` ``\npreceq`` `\succnsim` ``\succnsim`` `\eqslantgtr` ``\eqslantgtr`` `\lesseqgtr` ``\lesseqgtr`` `\nsim` ``\nsim`` `\succsim` ``\succsim`` `\eqslantless` ``\eqslantless`` `\lesseqqgtr` ``\lesseqqgtr`` `\nsucc` ``\nsucc`` `\thickapprox` ``\thickapprox`` `\equiv` ``\equiv`` `\lessgtr` ``\lessgtr`` `\nsucceq` ``\nsucceq`` `\thicksim` ``\thicksim`` `\fallingdotseq` ``\fallingdotseq`` `\lesssim` ``\lesssim`` `\triangleq` ``\triangleq`` ================ ================== ============= =============== ============= =============== =============== ================= The commands ``\lvertneqq`` and ``\gvertneqq`` are not supported by LateX2MathML, as there is no corresponding Unicode character. Synonyms: `\ne` ``\ne``, `\le` ``\le``, `\ge` ``\ge``, `\Doteq` ``\Doteq``, `\llless` ``\llless``, `\gggtr` ``\gggtr``. Symbols can be negated prepending ``\not``, e.g. `\not=` ``\not=``, `\not\equiv` ``\not\equiv``, `\not\gtrless` ``\not\gtrless``, `\not\lessgtr` ``\not\lessgtr``. Miscellaneous relations ~~~~~~~~~~~~~~~~~~~~~~~ .. class:: colwidths-auto ===================== ======================= =================== ===================== =================== ===================== `\backepsilon` ``\backepsilon`` `\ntrianglelefteq` ``\ntrianglelefteq`` `\subseteq` ``\subseteq`` `\because` ``\because`` `\ntriangleright` ``\ntriangleright`` `\subseteqq` ``\subseteqq`` `\between` ``\between`` `\ntrianglerighteq` ``\ntrianglerighteq`` `\subsetneq` ``\subsetneq`` `\blacktriangleleft` ``\blacktriangleleft`` `\nvdash` ``\nvdash`` `\subsetneqq` ``\subsetneqq`` `\blacktriangleright` ``\blacktriangleright`` `\nVdash` ``\nVdash`` `\supset` ``\supset`` `\bowtie` ``\bowtie`` `\nvDash` ``\nvDash`` `\Supset` ``\Supset`` `\dashv` ``\dashv`` `\nVDash` ``\nVDash`` `\supseteq` ``\supseteq`` `\frown` ``\frown`` `\parallel` ``\parallel`` `\supseteqq` ``\supseteqq`` `\in` ``\in`` `\perp` ``\perp`` `\supsetneq` ``\supsetneq`` `\mid` ``\mid`` `\pitchfork` ``\pitchfork`` `\supsetneqq` ``\supsetneqq`` `\models` ``\models`` `\propto` ``\propto`` `\therefore` ``\therefore`` `\ni` ``\ni`` `\shortmid` ``\shortmid`` `\trianglelefteq` ``\trianglelefteq`` `\nmid` ``\nmid`` `\shortparallel` ``\shortparallel`` `\trianglerighteq` ``\trianglerighteq`` `\notin` ``\notin`` `\smallfrown` ``\smallfrown`` `\varpropto` ``\varpropto`` `\nparallel` ``\nparallel`` `\smallsmile` ``\smallsmile`` `\vartriangle` ``\vartriangle`` `\nshortmid` ``\nshortmid`` `\smile` ``\smile`` `\vartriangleleft` ``\vartriangleleft`` `\nshortparallel` ``\nshortparallel`` `\sqsubset` ``\sqsubset`` `\vartriangleright` ``\vartriangleright`` `\nsubseteq` ``\nsubseteq`` `\sqsubseteq` ``\sqsubseteq`` `\vdash` ``\vdash`` `\nsubseteqq` ``\nsubseteqq`` `\sqsupset` ``\sqsupset`` `\Vdash` ``\Vdash`` `\nsupseteq` ``\nsupseteq`` `\sqsupseteq` ``\sqsupseteq`` `\vDash` ``\vDash`` `\nsupseteqq` ``\nsupseteqq`` `\subset` ``\subset`` `\Vvdash` ``\Vvdash`` `\ntriangleleft` ``\ntriangleleft`` `\Subset` ``\Subset`` ===================== ======================= =================== ===================== =================== ===================== Synonyms: `\owns` ``\owns``. Symbols can be negated prepending ``\not``, e.g. `\not\in` ``\not\in``, `\not\ni` ``\not\ni``. The commands ``\varsubsetneq``, ``\varsubsetneqq``, ``\varsupsetneq``, and ``\varsupsetneqq`` are not supported by LateX2MathML, as there is no corresponding Unicode character. Variable-sized operators ------------------------ .. class:: colwidths-auto ========================= ========================= ========================= =========================== `\sum` ``\sum`` `\prod` ``\prod`` `\bigcap` ``\bigcap`` `\bigodot` ``\bigodot`` `\int` ``\int`` `\coprod` ``\coprod`` `\bigcup` ``\bigcup`` `\bigoplus` ``\bigoplus`` `\oint` ``\oint`` `\bigwedge` ``\bigwedge`` `\biguplus` ``\biguplus`` `\bigotimes` ``\bigotimes`` `\smallint` ``\smallint`` `\bigvee` ``\bigvee`` `\bigsqcup` ``\bigsqcup`` ========================= ========================= ========================= =========================== Larger symbols are used in displayed formulas, sum-like symbols have indices above/below the symbol (see also `scripts and limits`_): .. math:: \sum_{n=1}^N a_n \qquad \int_0^1f(x)\,dx \qquad \prod_{i=1}^{10} b_i \ldots Notations ========= Top and bottom embellishments ----------------------------- See `Accents and embellishments`_. Extensible arrows ----------------- \xleftarrow and \xrightarrow produce arrows that extend automatically to accommodate unusually wide subscripts or superscripts. These commands take one optional argument (the subscript) and one mandatory argument (the superscript, possibly empty):: A \xleftarrow{n+\mu-1} B \xrightarrow[T]{n\pm i-1} C results in .. math:: A \xleftarrow{n+\mu-1} B \xrightarrow[T]{n\pm i-1} C Affixing symbols to other symbols --------------------------------- In addition to the standard `accents and embellishments`_, other symbols can be placed above or below a base symbol with the ``\overset`` and ``\underset`` commands. The symbol is set in "scriptstyle" (smaller font size). For example, writing ``\overset{*}{X}`` becomes `\overset{*}{X}` and ``\underset{+}{M}`` becomes `\underset{+}{M}`. Matrices -------- The ``matrix`` and ``cases`` environments can also contain ``\\`` and ``&``:: .. math:: \left ( \begin{matrix} a & b \\ c & d \end{matrix}\right) Result: .. math:: \left ( \begin{matrix} a & b \\ c & d \end{matrix} \right) The environments ``pmatrix``, ``bmatrix``, ``Bmatrix``, ``vmatrix``, and ``Vmatrix`` have (respectively) ( ), [ ], { }, \| \|, and `\Vert\ \Vert` delimiters built in, e.g. .. math:: \begin{pmatrix} a & b \\ c & d \end{pmatrix} \qquad \begin{bmatrix} a & b \\ c & d \end{bmatrix} \qquad \begin{Vmatrix} a & b \\ c & d \end{Vmatrix} To produce a small matrix suitable for use in text, there is a ``smallmatrix`` environment `\bigl(\begin{smallmatrix} a & b \\ c & d \end{smallmatrix}\bigr)` that comes closer to fitting within a single text line than a normal matrix. For piecewise function definitions there is a ``cases`` environment: .. math:: \mathrm{sgn}(x) = \begin{cases} -1 & x<0\\ \phantom{-}1 & x>0 \end{cases} Spacing commands ---------------- Horizontal spacing of elements can be controlled with the following commands: .. class:: colwidths-auto ====================== ======== ===================== ================== :m:`3\qquad 4` ``3\qquad 4`` = 2em :m:`3\quad 4` ``3\quad 4`` = 1em :m:`3~4` ``3~4`` ``3\nobreakspace 4`` :m:`3\ 4` ``3\ 4`` escaped space :m:`3\;4` ``3\;4`` ``3\thickspace 4`` :m:`3\:4` ``3\:4`` ``3\medspace 4`` :m:`3\,4` ``3\,4`` ``3\thinspace 4`` :m:`3 4` ``3 4`` regular space [#]_ :m:`3\!4` ``3\!4`` ``3\negthinspace 4`` :m:`3\negmedspace 4` ``3\negmedspace 4`` :m:`3\negthickspace 4` ``3\negthickspace 4`` `3\hspace{1ex}4` ``3\hspace{1ex}4`` custom length `3\mspace{20mu}4` ``3\mspace{20mu}4`` custom length [#]_ ====================== ======== ===================== ================== .. [#] Whitespace characters are ignored in LaTeX math mode. .. [#] Unit must be 'mu' (1 mu = 1/18em). Negative spacing does not work with MathML (in Firefox 78). There are also three commands that leave a space equal to the height and width of its argument. For example ``\phantom{XXX}`` results in space as wide and high as three X’s: .. math:: \frac{\phantom{XXX}+1}{XXX-1} The commands ``\hphantom`` and ``\vphantom`` insert space with the width or height of the argument. They are not supported with `math_output`_ MathML. Roots ----- .. class:: colwidths-auto ========= ==================== ================== command example result ========= ==================== ================== ``\sqrt`` ``\sqrt{x^2-1}`` `\sqrt{x^2-1}` .. ``\sqrt[3n]{x^2-1}`` `\sqrt[3n]{x^2-1}` .. ``\sqrt\frac{1}{2}`` `\sqrt\frac{1}{2}` ========= ==================== ================== Boxed formulas -------------- The command ``\boxed`` puts a box around its argument: .. math:: \boxed{\eta \leq C(\delta(\eta) +\Lambda_M(0,\delta))} Fractions and related constructions =================================== The ``\frac`` command takes two ar guments, numerator and denominator, and typesets them in normal fraction form. For example, ``U = \frac{R}{I}`` produces `U = \frac{R}{I}`. Use ``\dfrac`` or ``\tfrac`` to force text style and display style respectively. .. math:: \frac{x+1}{x-1} \quad \dfrac{x+1}{x-1} \quad \tfrac{x+1}{x-1} and in text: `\frac{x+1}{x-1}`, `\dfrac{x+1}{x-1}`, `\tfrac{x+1}{x-1}`. For binomial expressions such as `\binom{n}{k}`, there are ``\binom``, ``\dbinom`` and ``\tbinom`` commands:: 2^k-\binom{k}{1}2^{k-1}+\binom{k}{2}2^{k-2} prints .. math:: 2^k-\binom{k}{1}2^{k-1}+\binom{k}{2}2^{k-2} The ``\cfrac`` command for continued fractions uses displaystyle and padding for sub-fractions: .. math:: \frac{\pi}{4} = 1 + \cfrac{1^2}{ 2 + \cfrac{3^2}{ 2 + \cfrac{5^2}{ 2 + \cfrac{7^2}{2 + \cdots} }}} \qquad \text{vs.}\qquad \frac{\pi}{4} = 1 + \frac{1^2}{ 2 + \frac{3^2}{ 2 + \frac{5^2}{ 2 + \frac{7^2}{2 + \cdots} }}} It supports the optional argument ``[l]`` or ``[r]`` for left or right placement of the numerator: .. math:: \cfrac[l]{x}{x-1} \quad \cfrac{x}{x-1} \quad \cfrac[r]{x}{x-1} Delimiter sizes =============== Besides the automatic scaling of `extensible delimiters`_ with ``\left`` and ``\right``, there are four commands to manually select delimiters of fixed size: .. class:: colwidths-auto ========= ============== ============== ============== ============== =============== =============== Sizing no ``\left`` ``\bigl`` ``\Bigl`` ``\biggl`` ``\Biggl`` command ``\right`` ``\bigr`` ``\Bigr`` ``\biggr`` ``\Biggr`` --------- -------------- -------------- -------------- -------------- --------------- --------------- Result `\displaystyle `\displaystyle `\displaystyle `\displaystyle `\displaystyle `\displaystyle (b) \left(b\right) \bigl(b\bigr) \Bigl(b\Bigr) \biggl(b\biggr) \Biggl(b\Biggr) (\frac{c}{d})` \left(\frac{c} \bigl(\frac{c} \Bigl(\frac{c} \biggl(\frac{c} \Biggl(\frac{c} {d}\right)` {d}\bigr)` {d}\Bigr)` {d}\biggr)` {d}\Biggr)` ========= ============== ============== ============== ============== =============== =============== There are two or three situations where the delimiter size is commonly adjusted using these commands: The first kind of adjustment is done for cumulative operators with limits, such as summation signs. With ``\left`` and ``\right`` the delimiters usually turn out larger than necessary, and using the ``Big`` or ``bigg`` sizes instead gives better results: .. math:: \left[\sum_i a_i\left\lvert\sum_j x_{ij}\right\rvert^p\right]^{1/p} \text{ versus } \biggl[\sum_i a_i\Bigl\lvert\sum_j x_{ij}\Bigr\rvert^p\biggr]^{1/p} The second kind of situation is clustered pairs of delimiters, where \left and \right make them all the same size (because that is adequate to cover the encompassed material), but what you really want is to make some of the delimiters slightly larger to make the nesting easier to see. .. math:: \left((a_1 b_1) - (a_2 b_2)\right) \left((a_2 b_1) + (a_1 b_2)\right) \quad\text{versus}\quad \bigl((a_1 b_1) - (a_2 b_2)\bigr) \bigl((a_2 b_1) + (a_1 b_2)\bigr) The third kind of situation is a slightly oversize object in running text, such as `\left|\frac{b'}{d'}\right|` where the delimiters produced by ``\left`` and ``\right`` cause too much line spreading. [#]_ In that case ``\bigl`` and ``\bigr`` can be used to produce delimiters that are larger than the base size but still able to fit within the normal line spacing: `\bigl|\frac{b'}{d'}\bigr|`. .. [#] With MathML, an example would be parentheses around a ``smallmatrix`` environment `\left(\begin{smallmatrix} a & b \\ c & d \end{smallmatrix}\right)` vs. `\Bigl(\begin{smallmatrix} a & b \\ c & d \end{smallmatrix}\Bigr)`. Text ==== The main use of the command ``\text`` is for words or phrases in a display. It is similar to ``\mbox`` in its effects but, unlike ``\mbox``, automatically produces subscript-size text if used in a subscript, ``k_{\text{B}}T`` becomes `k_{\text{B}}T`. Whitespace is kept inside the argument: .. Math:: f_{[x_{i-1},x_i]} \text{ is monotonic for } i = 1,\,…,\,c+1 The text may contain math commands wrapped in ``$`` signs, e.g. .. math:: (-1)^{n_i} = \begin{cases} -1 \quad \text{if $n_i$ is odd,} \\ +1 \quad \text{if $n_i$ is even.} \end{cases} .. TODO ignore {}, handle text-mode commands ⟠.. TODO: ``\mod`` and its relatives -------------------------- Commands ``\mod``, ``\bmod``, ``\pmod``, ``\pod`` deal with the special spacing conventions of “mod†notation. ``\mod`` and ``\pod`` are variants of ``\pmod`` preferred by some authors; ``\mod`` omits the parentheses, whereas ``\pod`` omits the “mod†and retains the parentheses. \gcd(n,m\bmod n) ;\quad x\equiv y\pmod b ;\quad x\equiv y\mod c ;\quad x\equiv y\pod d Integrals and sums ================== The limits on integrals, sums, and similar symbols are placed either to the side of or above and below the base symbol, depending on convention and context. In inline formulas and fractions, the limits on sums, and similar symbols like .. math:: \lim_{n\to\infty} \sum_1^n \frac{1}{n} move to index positions: `\lim_{n\to\infty} \sum_1^n \frac{1}{n}`. Altering the placement of limits -------------------------------- The commands ``\intop`` and ``\ointop`` produce integral signs with limits as in sums and similar: `\intop_0^1`, `\ointop_c` and .. math:: \intop_0^1 \quad \ointop_c \quad \text{vs.} \quad \int^1_0 \quad \oint_c The commands ``\limits`` and ``\nolimits`` override the default placement of the limits for any operator; ``\displaylimits`` forces standard positioning as for the \sum command. They should follow immediately after the operator to which they apply. Compare the same term with default positions, ``\limits``, and ``\nolimits`` in inline and display mode: `\lim_{x\to0}f(x)`, `\lim\limits_{x\to0}f(x)`, `\lim\nolimits_{x\to0}f(x)`, vs. .. math:: \lim_{x\to0}f(x), \quad \lim\limits_{x\to0}f(x) \quad \lim\nolimits_{x\to0}f(x). .. TODO: \substack .. TODO: \sideset Changing the size of elements in a formula ========================================== The declarations [#]_ ``\displaystyle``, ``\textstyle``, ``\scriptstyle``, and ``\scriptscriptstyle``, select a symbol size and spacing that would be applied in (respectively) display math, inline math, first-order subscript, or second-order subscript, even when the current context would normally yield some other size. For example ``:math:`\displaystyle \sum_{n=0}^\infty \frac{1}{n}``` is printed as `\displaystyle \sum_{n=0}^\infty \frac{1}{n}` rather than `\sum_{n=0}^\infty \frac{1}{n}` and :: \frac{\scriptstyle\sum_{n > 0} z^n} {\displaystyle\prod_{1\leq k\leq n} (1-q^k)} yields .. math:: \frac{\scriptstyle\sum_{n > 0} z^n} {\displaystyle\prod_{1\leq k\leq n} (1-q^k)} \text{ instead of the default } \frac{\sum_{n > 0} z^n} {\prod_{1\leq k\leq n} (1-q^k)}. .. [#] "Declarations" are commands that affect processing of the current "group". In particular, notice where the braces fall that delimit the effect of the command: Right: ``{\displaystyle ...}`` Wrong: ``\displaystyle{...}``. With math_output_ MathML, the declaration must be the first element after the opening bracket. Appendix ======== Tests ----- Font changes ~~~~~~~~~~~~ Math alphabet macros change the default alphabet ("mathvariant" in MathML), leaving some symbols unchanged: :normal: `abs(x) \pm \alpha \approx 3 \Gamma \quad \forall x \in R` :mathrm: `\mathrm{abs(x) \pm \alpha \approx 3 \Gamma \quad \forall x \in R}` :mathit: `\mathit{abs(x) \pm \alpha \approx 3 \Gamma \quad \forall x \in R}` :mathsf: `\mathsf{abs(x) \pm \alpha \approx 3 \Gamma \quad \forall x \in R}` :mathbb: `\mathbb{abs(x) \pm \alpha \approx 3 \Gamma \quad \forall x \in R}` :mathbf: `\mathbf{abs(x) \pm \alpha \approx 3 \Gamma \quad \forall x \in R}` :mathcal: `\mathcal{abs(x) \pm \alpha \approx 3 \Gamma \quad \forall x \in R}` :mathscr: `\mathscr{abs(x) \pm \alpha \approx 3 \Gamma \quad \forall x \in R}` Unicode supports the following blackboard-bold characters: `\mathbb{a \ldots z A \ldots Z 0 \ldots 9 \mathbb\Gamma \mathbb{\Pi} \mathbb {\Sigma} \mathbb\gamma \mathbb\pi}`. Inferred <mrow>s in MathML ~~~~~~~~~~~~~~~~~~~~~~~~~~ The elements <msqrt>, <mstyle>, <merror>, <mpadded>, <mphantom>, <menclose>, <mtd>, <mscarry>, and <math> treat their contents as a single inferred mrow formed from all their children. .. math:: a = \sqrt 2 + x,\quad b = \sqrt{1+x^2},\quad c = \sqrt\frac{\sin(x)}{23}, inline: :math:`a = \sqrt 2 + x, b = \sqrt{1+x^2}, c = \sqrt\frac{\sin(x)}{23}`. Scripts and Limits ~~~~~~~~~~~~~~~~~~ Accents should be nearer to the base (in MathML Firefox 78, it's vice versa!): `\bar a \overline a, \bar l \overline l, \bar i \overline i`, `\vec{r}` `\overrightarrow{r}`. Sub- and superscript may be given in any order: `x_i^j = x^j_i` and `\int_0^1 = \int^1_0`. Double exponent: `x^{10^4}`, `r_{T_\mathrm{in}}` and `x_i^{n^2}`. Nested groups ~~~~~~~~~~~~~ tex-token returns "{" for nested groups: .. math:: \text{das ist ein {toller} text (unescaped \{ and \} is ignored by LaTeX)} Big delimiters and symbols ~~~~~~~~~~~~~~~~~~~~~~~~~~ Compare automatic sizing with fixed sizes: .. math: \left( \frac{\frac1x}{\frac{1}{n}}\right) &= \Biggl(\text{Bigg}\Biggr)\\ .. math:: \left( 3 \right) \left( f(x) \right) \left( \bar x \right) \left( \overline x \right) \left( n_i \right) &= () \\ \left( \underline x \right) &= \bigl(\text{big}\bigr)\\ \left( 3^2 \right) \left( \sqrt{3} \right) \left( \sqrt{3^2} \right) \left( \sum \right) \left( \bigotimes \right) \left( \prod \right) &= \Bigl(\text{Big}\Bigr)\\ \left( \frac{3 }{2} \right) \left( \frac{3^2}{2^4} \right) \binom{3 }{2} \begin{pmatrix} a & b \\ c & d \end{pmatrix} \left( \frac{1}{\sqrt 2} \right) \left( \int \right) \left( \int_0 \right) \left( \int^1 \right) \left( \int_0^1 \right) &= \biggl(\text{bigg}\biggr)\\ \left( \frac{\sqrt 2}{2} \right) \left( \sum_0 \right) \left( \sum^1 \right) \left( \sum_0^1 \right) \left( \frac{\frac1x}{\frac{1}{n}}\right) &= \Biggl(\text{Bigg}\Biggr)\\ \left( \intop_0 \right) \left( \intop^1 \right) \left( \intop_0^1 \right) And in text: :`()`: `\left(3 \right) \left( f(x) \right) \left( \bar x \right) \left( \overline x \right) \left( n_i \right) \left( \sum \right) \left( \sum_0 \right) \left( \prod \right)` :`\bigl(\text{big}\bigr)`: `\left(\underline x \right) \left( 3^2 \right) \binom{3}{2} \left(\begin{smallmatrix} a & b \\ c & d \end{smallmatrix} \right) \left( \bigotimes \right)` :`\Bigl(\text{Big}\Bigr)`: `\left(\sqrt{3} \right) \left( \sqrt{3^2} \right) \left( \frac{3}{2} \right) \left( \frac{3^2}{2^4} \right) \left( \frac{\sqrt 2}{2} \right) \left( \int \right) \left( \int_0 \right) \left( \int^1 \right) \left( \int_0^1 \right) \left( \sum^1 \right) \left( \sum_0^1 \right) \left( \frac{\frac1x}{\frac{1}{n}}\right)` Test ``\left``, ``\right``, and the \bigl/\bigr, … size commands with all extensible delimiters. .. math:: \left.(b\right)\ \bigl(b\Bigr)\ \biggl(b\Biggr) \quad \left.[b\right]\ \bigl[b\Bigr]\ \biggl[b\Biggr] \quad \left.\{b\right \} \ \bigl\{b\Bigr \} \ \biggl\{b\Biggr \} \quad \left.\langle b\right\rangle\ \bigl\langle b\Bigr\rangle\ \biggl\langle b\Biggr\rangle \left.\lceil b\right\rceil\ \bigl\lceil b\Bigr\rceil\ \biggl\lceil b\Biggr\rceil \quad \left.\lfloor b\right\rfloor\ \bigl\lfloor b\Bigr\rfloor\ \biggl\lfloor b\Biggr\rfloor \quad \left.\lvert b\right\rvert\ \bigl\lvert b\Bigr\rvert\ \biggl\lvert b\Biggr\rvert \quad \left.\lVert b\right\rVert\ \bigl\lVert b\Bigr\rVert\ \biggl\lVert b\Biggr\rVert \left.\lgroup b\right\rgroup\ \bigl\lgroup b\Bigr\rgroup\ \biggl\lgroup b\Biggr\rgroup \quad \left.\lmoustache b\right\rmoustache\ \bigl\lmoustache b\Bigr\rmoustache\ \biggl\lmoustache b\Biggr\rmoustache \quad \left./b\right\backslash\ \bigl/b\Bigr\backslash\ \biggl/b\Biggr\backslash \left.|b\right\|\ \bigl|b\Bigr\|\ \biggl|b\Biggr\| \quad \left.\vert b\right\Vert\ \bigl\vert b\Bigr\Vert\ \biggl\vert b\Biggr\Vert \quad \left.\arrowvert b\right\Arrowvert\ \bigl\arrowvert b\Bigr\Arrowvert\ \biggl\arrowvert b\Biggr\Arrowvert \quad \left.\bracevert b\right\bracevert\ \bigl\bracevert b\Bigr\bracevert\ \biggl\bracevert b\Biggr\bracevert \quad \left.\vert b\right\Vert\ \bigl\vert b\Bigr\Vert\ \biggl\vert b\Biggr\Vert Variable-sized operators: Inline: `\int\ \iint\ \iiint\ \iiiint\ \idotsint \oint\ \smallint\ \sum\ \prod\ \coprod\ \bigwedge\ \bigvee\ \bigcap\ \bigcup\ \biguplus\ \bigsqcup\ \bigodot\ \bigoplus\ \bigotimes` and Display: .. math:: \int\ \iint\ \iiint\ \iiiint\ \idotsint\ \oint\ \smallint\ \sum\ \prod\ \coprod\ \bigwedge\ \bigvee\ \bigcap\ \bigcup\ \biguplus\ \bigsqcup\ \bigodot\ \bigoplus\ \bigotimes .. math:: \int_1 f\ \intop_1 f\ \iint_1 f\ \smallint_1 f\ \sum_1\ \prod_1\ \bigwedge_1\ \bigcap_1\ \biguplus_1\ \bigodot_1\ \int^N\ \intop^N\ \iiiint^N\ \oint^N\ \smallint^N\ \sum^N\ \coprod^N\ \bigvee^N\ \bigcup^N\ \bigsqcup^N\ \bigotimes^N .. math:: \int_1^N\ \intop_1^N\ \iint_1^N\ \iiint_1^N\ \iiiint_1^N\ \idotsint_1^N\ \oint_1^N\ \smallint_1^N\ \sum_1^N\ \prod_1^N\ \coprod_1^N\ \bigwedge_1^N\ \bigvee_1^N\ \bigcap_1^N\ \bigcup_1^N \ \biguplus_1^N\ \bigsqcup_1^N\ \bigodot_1^N\ \bigoplus_1^N\ \bigotimes_1^N Text ~~~~ The text may contain non-ASCII characters: `n_\text{Stoß}`. Some text-mode LaTeX commands are supported with math_output_ "html". In other output formats, use literal Unicode: `\text{ç é è ë ê ñ ů ž ©}` to get the result of the accent macros `\text{\c{c} \'e \`e \"e \^e \~n \r{u} \v{z} \textcircled{c}}`. ������������restructuredtext.txt��������������������������������������������������������������������������������0000664�0000000�0000000�00000345316�15141625651�0035344�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000�pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/ref/rst���������������������������������������������������������������������������������.. -*- coding: utf-8 -*- ======================================= reStructuredText Markup Specification ======================================= :Author: David Goodger :Contact: docutils-develop@lists.sourceforge.net :Revision: $Revision$ :Date: $Date$ :Copyright: This document has been placed in the public domain. .. Note:: This document is a detailed technical specification; it is not a tutorial or a primer. If this is your first exposure to reStructuredText, please read `A ReStructuredText Primer`_ and the `Quick reStructuredText`_ user reference first. .. _A ReStructuredText Primer: ../../user/rst/quickstart.html .. _Quick reStructuredText: ../../user/rst/quickref.html reStructuredText_ is plaintext that uses simple and intuitive constructs to indicate the structure of a document. These constructs are equally easy to read in raw and processed forms. This document is itself an example of reStructuredText (raw, if you are reading the text file, or processed, if you are reading an HTML document, for example). The reStructuredText parser is a component of Docutils_. Simple, implicit markup is used to indicate special constructs, such as section headings, bullet lists, and emphasis. The markup used is as minimal and unobtrusive as possible. Less often-used constructs and extensions to the basic reStructuredText syntax may have more elaborate or explicit markup. reStructuredText is applicable to documents of any length, from the very small (such as inline program documentation fragments, e.g. Python docstrings) to the quite large (this document). The first section gives a quick overview of the syntax of the reStructuredText markup by example. A complete specification is given in the `Syntax Details`_ section. `Literal blocks`_ (in which no markup processing is done) are used for examples throughout this document, to illustrate the plaintext markup. .. contents:: ----------------------- Quick Syntax Overview ----------------------- A reStructuredText document is made up of body or block-level elements, and may be structured into sections. Sections_ are indicated through title style (underlines & optional overlines). Sections contain body elements and/or subsections. Some body elements contain further elements, such as lists containing list items, which in turn may contain paragraphs and other body elements. Others, such as paragraphs, contain text and `inline markup`_ elements. Here are examples of `body elements`_: - Paragraphs_ (and `inline markup`_):: Paragraphs contain text and may contain inline markup: *emphasis*, **strong emphasis**, `interpreted text`, ``inline literals``, standalone hyperlinks (https://www.python.org), external hyperlinks (Python_), internal cross-references (example_), footnote references ([1]_), citation references ([CIT2002]_), substitution references (|example|), and _`inline internal targets`. Paragraphs are separated by blank lines and are left-aligned. - Five types of lists: 1. `Bullet lists`_:: - This is a bullet list. - Bullets can be "*", "+", or "-". 2. `Enumerated lists`_:: 1. This is an enumerated list. 2. Enumerators may be arabic numbers, letters, or roman numerals. 3. `Definition lists`_:: what Definition lists associate a term with a definition. how The term is a one-line phrase, and the definition is one or more paragraphs or body elements, indented relative to the term. 4. `Field lists`_:: :what: Field lists map field names to field bodies, like database records. They are often part of an extension syntax. :how: The field marker is a colon, the field name, and a colon. The field body may contain one or more body elements, indented relative to the field marker. 5. `Option lists`_, for listing command-line options:: -a command-line option "a" -b file options can have arguments and long descriptions --long options can be long also --input=file long options can also have arguments /V DOS/VMS-style options too There must be at least two spaces between the option and the description. - `Literal blocks`_:: Literal blocks are either indented or line-prefix-quoted blocks, and indicated with a double-colon ("::") at the end of the preceding paragraph (right here -->):: if literal_block: text = 'is left as-is' spaces_and_linebreaks = 'are preserved' markup_processing = None - `Block quotes`_:: Block quotes consist of indented body elements: This theory, that is mine, is mine. -- Anne Elk (Miss) - `Doctest blocks`_:: >>> print 'Python-specific usage examples; begun with ">>>"' Python-specific usage examples; begun with ">>>" >>> print '(cut and pasted from interactive Python sessions)' (cut and pasted from interactive Python sessions) - Two syntaxes for tables_: 1. `Grid tables`_; complete, but complex and verbose:: +------------------------+------------+----------+ | Header row, column 1 | Header 2 | Header 3 | +========================+============+==========+ | body row 1, column 1 | column 2 | column 3 | +------------------------+------------+----------+ | body row 2 | Cells may span | +------------------------+-----------------------+ 2. `Simple tables`_; easy and compact, but limited:: ==================== ========== ========== Header row, column 1 Header 2 Header 3 ==================== ========== ========== body row 1, column 1 column 2 column 3 body row 2 Cells may span columns ==================== ====================== - `Explicit markup blocks`_ all begin with an explicit block marker, two periods and a space: - Footnotes_:: .. [1] A footnote contains body elements, consistently indented by at least 3 spaces. - Citations_:: .. [CIT2002] Just like a footnote, except the label is textual. - `Hyperlink targets`_:: .. _Python: https://www.python.org .. _example: The "_example" target above points to this paragraph. - Directives_:: .. image:: mylogo.png - `Substitution definitions`_:: .. |symbol here| image:: symbol.png - Comments_:: .. Comments begin with two dots and a space. Anything may follow, except for the syntax of footnotes/citations, hyperlink targets, directives, or substitution definitions. ---------------- Syntax Details ---------------- Descriptions below list "doctree elements" (document tree element names; XML DTD generic identifiers) corresponding to syntax constructs. For details on the hierarchy of elements, please see `The Docutils Document Tree`_ and the `Docutils Generic DTD`_ XML document type definition. Whitespace ========== Spaces are recommended for indentation_, but tabs may also be used. Tabs will be converted to spaces. Tab stops are at every 8th column (processing systems may make this value configurable). Other whitespace characters (form feeds [chr(12)] and vertical tabs [chr(11)]) are converted to single spaces before processing. Blank Lines ----------- Blank lines are used to separate paragraphs and other elements. Multiple successive blank lines are equivalent to a single blank line, except within literal blocks (where all whitespace is preserved). Blank lines may be omitted when the markup makes element separation unambiguous, in conjunction with indentation. The first line of a document is treated as if it is preceded by a blank line, and the last line of a document is treated as if it is followed by a blank line. Indentation ----------- Indentation is used to indicate -- and is only significant in indicating -- block quotes, definitions (in `definition lists`_), and local nested content: - list item content (multi-line contents of list items, and multiple body elements within a list item, including nested lists), - the content of `literal blocks`_, and - the content of `explicit markup blocks`_ (directives, footnotes, ...). Any text whose indentation is less than that of the current level (i.e., unindented text or "dedents") ends the current level of indentation. Since all indentation is significant, the level of indentation must be consistent. For example, indentation is the sole markup indicator for `block quotes`_:: This is a top-level paragraph. This paragraph belongs to a first-level block quote. Paragraph 2 of the first-level block quote. Multiple levels of indentation within a block quote will result in more complex structures:: This is a top-level paragraph. This paragraph belongs to a first-level block quote. This paragraph belongs to a second-level block quote. Another top-level paragraph. This paragraph belongs to a second-level block quote. This paragraph belongs to a first-level block quote. The second-level block quote above is inside this first-level block quote. When a paragraph or other construct consists of more than one line of text, the lines must be left-aligned:: This is a paragraph. The lines of this paragraph are aligned at the left. This paragraph has problems. The lines are not left-aligned. In addition to potential misinterpretation, warning and/or error messages will be generated by the parser. Several constructs begin with a marker, and the body of the construct must be indented relative to the marker. For constructs using simple markers (`bullet lists`_, `enumerated lists`_), the level of indentation of the body is determined by the position of the first line of text. For example:: - This is the first line of a bullet list item's paragraph. All lines must align relative to the first line. This indented paragraph is interpreted as a block quote. Another paragraph belonging to the first list item. Because it is not sufficiently indented, this paragraph does not belong to the list item (it's a block quote following the list). The body of `explicit markup blocks`_, `field lists`_, and `option lists`_ ends above the first line with the same or less indentation than the marker. For example, field lists may have very long markers (containing the field names):: :Hello: This field has a short field name, so aligning the field body with the first line is feasible. :Number-of-African-swallows-required-to-carry-a-coconut: It would be very difficult to align the field body with the left edge of the first line. It may even be preferable not to begin the body on the same line as the marker. .. _escape: Escaping Mechanism ================== The character set universally available to plaintext documents, 7-bit ASCII, is limited. No matter what characters are used for markup, they will already have multiple meanings in written text. Therefore markup characters will sometimes appear in text without being intended as markup. Any serious markup system requires an escaping mechanism to override the default meaning of the characters used for the markup. In reStructuredText we use the *backslash*, commonly used as an escaping character in other domains. A backslash (``\``) escapes the following character. * "Escaping" backslash characters are represented by NULL characters in the `Document Tree`_ and removed from the output document by the Docutils writers_. * Escaped non-white characters are prevented from playing a role in any markup interpretation. The escaped character represents the character itself. (A literal backslash can be specified by two backslashes in a row -- the first backslash escapes the second. [#caveat]_) * Escaped whitespace characters are removed from the output document together with the escaping backslash. This allows for `character-level inline markup`_. In `URI context` [#uri-context]_, backslash-escaped whitespace represents a single space. Backslashes have no special meaning in `literal context` [#literal-context]_. Here, a single backslash represents a literal backslash, without having to double up. [#caveat]_ .. [#caveat] Please note that the reStructuredText specification and parser do not address the issue of the representation or extraction of text input (how and in what form the text actually *reaches* the parser). Backslashes and other characters may serve a character-escaping purpose in certain contexts and must be dealt with appropriately. For example, Python uses backslashes in string literals to escape certain characters. The simplest solution when backslashes appear in Python docstrings is to use raw docstrings:: r"""This is a raw docstring. Backslashes (\) are not touched.""" .. [#uri-context] In contexts where Docutils expects a URI (the link block of `external hyperlink targets`_ or the argument of an image_ or figure_ directive), whitespace is ignored by default .. [#literal-context] In literal context (`literal blocks`_ and `inline literals`_, content of the code_, math_, and raw_ directives, content of the `"raw" role`_ and `custom roles`_ based on it), reStructuredText markup characters lose their semantics so there is no reason to escape them. .. _reference name: Reference Names =============== `Reference names` identify elements for cross-referencing. .. Note:: References to a target position in external, generated documents must use the auto-generated `identifier key`_ which may differ from the `reference name` due to restrictions on identifiers/labels in the output format. Simple reference names are single words consisting of alphanumerics plus isolated (no two adjacent) internal hyphens, underscores, periods, colons and plus signs; no whitespace or other characters are allowed. Footnote labels (Footnotes_ & `Footnote References`_), citation labels (Citations_ & `Citation References`_), `interpreted text`_ roles, and some `hyperlink references`_ use the simple reference name syntax. Reference names using punctuation or whose names are phrases (two or more space-separated words) are called "phrase-references". Phrase-references are expressed by enclosing the phrase in backquotes and treating the backquoted text as a reference name:: Want to learn about `my favorite programming language`_? .. _my favorite programming language: https://www.python.org Simple reference names may also optionally use backquotes. .. _`normalized reference names`: Reference names are whitespace-neutral and case-insensitive. When resolving reference names internally: - whitespace is normalized (one or more spaces, horizontal or vertical tabs, newlines, carriage returns, or form feeds, are interpreted as a single space), and - case is normalized (all alphabetic characters are converted to lowercase). For example, the following `hyperlink references`_ are equivalent:: - `A HYPERLINK`_ - `a hyperlink`_ - `A Hyperlink`_ Hyperlinks_, footnotes_, and citations_ all share the same namespace for reference names. The labels of citations (simple reference names) and manually-numbered footnotes (numbers) are entered into the same database as other hyperlink names. This means that a footnote_ (defined as "``.. [#note]``") which can be referred to by a footnote reference (``[#note]_``), can also be referred to by a plain hyperlink reference (``note_``). Of course, each type of reference (hyperlink, footnote, citation) may be processed and rendered differently. Some care should be taken to avoid reference name conflicts. Document Structure ================== Document -------- Doctree element: `document <document element_>`_. The top-level element of a parsed reStructuredText document is the "document" element. After initial parsing, the document element is a simple container for a document fragment, consisting of `body elements`_, transitions_, and sections_, but lacking a document title or other bibliographic elements. The code that calls the parser may choose to run one or more optional post-parse transforms_, rearranging the document fragment into a complete document with a title and possibly other metadata elements (author, date, etc.; see `Bibliographic Fields`_). .. _document title: Specifically, there is no way to indicate a document title and subtitle explicitly in reStructuredText. [#]_ Instead, a lone top-level section title (see Sections_ below) can be treated as the document title. Similarly, a lone second-level section title immediately after the "document title" can become the document subtitle. The rest of the sections are then lifted up a level or two. See the `DocTitle transform`_ for details. .. [#] The `"title" configuration setting`__ and the `"title" directive`__ set the document's `title attribute`_ that does not become part of the document body. .. _title attribute: ../doctree.html#title-attribute __ ../../user/config.html#title __ directives.html#metadata-document-title Sections -------- Doctree elements: section_, title_. Sections are identified through their titles, which are marked up with adornment: "underlines" below the title text, or underlines and matching "overlines" above the title. An underline/overline is a single repeated punctuation character that begins in column 1 and forms a line extending at least as far as the right edge of the title text. [#]_ Specifically, an underline/overline character may be any non-alphanumeric printable 7-bit ASCII character [#]_. When an overline is used, the length and character used must match the underline. Underline-only adornment styles are distinct from overline-and-underline styles that use the same character. There may be any number of levels of section titles, although some output formats may have limits (HTML has 6 levels). .. [#] The key is the visual length of the title in a mono-spaced font. The adornment may need more or less characters than title, if the title contains wide__ or combining__ characters. .. [#] The following are all valid section title adornment characters:: ! " # $ % & ' ( ) * + , - . / : ; < = > ? @ [ \ ] ^ _ ` { | } ~ Some characters are more suitable than others. The following are recommended:: = - ` : . ' " ~ ^ _ * + # __ https://en.wikipedia.org/wiki/Halfwidth_and_fullwidth_forms#In_Unicode __ https://en.wikipedia.org/wiki/Combining_character Rather than imposing a fixed number and order of section title adornment styles, the order enforced will be the order as encountered. The first style encountered will be an outermost title (like HTML H1), the second style will be a subtitle, the third will be a subsubtitle, and so on. Below are examples of section title styles:: =============== Section Title =============== --------------- Section Title --------------- Section Title ============= Section Title ------------- Section Title ````````````` Section Title ''''''''''''' Section Title ............. Section Title ~~~~~~~~~~~~~ Section Title ************* Section Title +++++++++++++ Section Title ^^^^^^^^^^^^^ When a title has both an underline and an overline, the title text may be inset, as in the first two examples above. This is merely aesthetic and not significant. Underline-only title text may *not* be inset. A blank line after a title is optional. All text blocks up to the next title of the same or higher level are included in a section (or subsection, etc.). All section title styles need not be used, nor need any specific section title style be used. However, a document must be consistent in its use of section titles: once a hierarchy of title styles is established, sections must use that hierarchy. Each section title automatically generates a hyperlink target pointing to the section. The text of the hyperlink target (the "reference name") is the same as that of the section title. See `Implicit Hyperlink Targets`_ for a complete description. Sections may contain `body elements`_, transitions_, and nested sections. Transitions ----------- Doctree element: transition_. Instead of subheads, extra space or a type ornament between paragraphs may be used to mark text divisions or to signal changes in subject or emphasis. (The Chicago Manual of Style, 14th edition, section 1.80) Transitions are commonly seen in novels and short fiction, as a gap spanning one or more lines, with or without a type ornament such as a row of asterisks. Transitions separate other body elements. A transition should not begin or end a section or document, nor should two transitions be immediately adjacent. The syntax for a transition marker is a horizontal line of 4 or more repeated punctuation characters. The syntax is the same as section title underlines without title text. Transition markers require blank lines before and after:: Para. ---------- Para. Unlike section title underlines, no hierarchy of transition markers is enforced, nor do differences in transition markers accomplish anything. It is recommended that a single consistent style be used. The processing system is free to render transitions in output in any way it likes. For example, horizontal rules (``<hr>``) in HTML output would be an obvious choice. Body Elements ============= Paragraphs ---------- Doctree element: paragraph_. Paragraphs consist of blocks of left-aligned text with no markup indicating any other body element. Blank lines separate paragraphs from each other and from other body elements. Paragraphs may contain `inline markup`_. Syntax diagram:: +------------------------------+ | paragraph | | | +------------------------------+ +------------------------------+ | paragraph | | | +------------------------------+ Bullet Lists ------------ Doctree elements: bullet_list_, list_item_. A text block which begins with a "*", "+", "-", "•", "‣", or "âƒ", followed by whitespace, is a bullet list item (a.k.a. "unordered" list item). List item bodies must be left-aligned and indented relative to the bullet; the text immediately after the bullet determines the indentation. For example:: - This is the first bullet list item. The blank line above the first list item is required; blank lines between list items (such as below this paragraph) are optional. - This is the first paragraph in the second item in the list. This is the second paragraph in the second item in the list. The blank line above this paragraph is required. The left edge of this paragraph lines up with the paragraph above, both indented relative to the bullet. - This is a sublist. The bullet lines up with the left edge of the text blocks above. A sublist is a new list so requires a blank line above and below. - This is the third item of the main list. This paragraph is not part of the list. Here are examples of **incorrectly** formatted bullet lists:: - This first line is fine. A blank line is required between list items and paragraphs. (Warning) - The following line appears to be a new sublist, but it is not: - This is a paragraph continuation, not a sublist (since there's no blank line). This line is also incorrectly indented. - Warnings may be issued by the implementation. Syntax diagram:: +------+-----------------------+ | "- " | list item | +------| (body elements)+ | +-----------------------+ Enumerated Lists ---------------- Doctree elements: enumerated_list_, list_item_. Enumerated lists (a.k.a. "ordered" lists) are similar to bullet lists, but use enumerators instead of bullets. An enumerator consists of an enumeration sequence member and formatting, followed by whitespace. The following enumeration sequences are recognized: - arabic numerals: 1, 2, 3, ... (no upper limit). - uppercase alphabet characters: A, B, C, ..., Z. - lower-case alphabet characters: a, b, c, ..., z. - uppercase Roman numerals: I, II, III, IV, ..., MMMMCMXCIX (4999). - lowercase Roman numerals: i, ii, iii, iv, ..., mmmmcmxcix (4999). In addition, the auto-enumerator, "#", may be used to automatically enumerate a list. Auto-enumerated lists may begin with explicit enumeration, which sets the sequence. Fully auto-enumerated lists use arabic numerals and begin with 1. (Auto-enumerated lists are new in Docutils 0.3.8.) The following formatting types are recognized: - suffixed with a period: "1.", "A.", "a.", "I.", "i.". - surrounded by parentheses: "(1)", "(A)", "(a)", "(I)", "(i)". - suffixed with a right-parenthesis: "1)", "A)", "a)", "I)", "i)". While parsing an enumerated list, a new list will be started whenever: - An enumerator is encountered which does not have the same format and sequence type as the current list (e.g. "1.", "(a)" produces two separate lists). - The enumerators are not in sequence (e.g., "1.", "3." produces two separate lists). It is recommended that the enumerator of the first list item be ordinal-1 ("1", "A", "a", "I", or "i"). Although other start-values will be recognized, they may not be supported by the output format. A level-1 [info] system message will be generated for any list beginning with a non-ordinal-1 enumerator. Lists using Roman numerals must begin with "I"/"i" or a multi-character value, such as "II" or "XV". Any other single-character Roman numeral ("V", "X", "L", "C", "D", "M") will be interpreted as a letter of the alphabet, not as a Roman numeral. Likewise, lists using letters of the alphabet may not begin with "I"/"i", since these are recognized as Roman numeral 1. The second line of each enumerated list item is checked for validity. This is to prevent ordinary paragraphs from being mistakenly interpreted as list items, when they happen to begin with text identical to enumerators. For example, this text is parsed as an ordinary paragraph:: A. Einstein was a really smart dude. However, ambiguity cannot be avoided if the paragraph consists of only one line. This text is parsed as an enumerated list item:: A. Einstein was a really smart dude. If a single-line paragraph begins with text identical to an enumerator ("A.", "1.", "(b)", "I)", etc.), the first character will have to be escaped in order to have the line parsed as an ordinary paragraph:: \A. Einstein was a really smart dude. Examples of nested enumerated lists:: 1. Item 1 initial text. a) Item 1a. b) Item 1b. 2. a) Item 2a. b) Item 2b. Example syntax diagram:: +-------+----------------------+ | "1. " | list item | +-------| (body elements)+ | +----------------------+ Definition Lists ---------------- Doctree elements: definition_list_, definition_list_item_, term_, classifier_, definition_. Each definition list item contains a term, optional classifiers, and a definition. * A `term` is a simple one-line word or phrase. Escape_ a leading hyphen to prevent recognition as an `option list`_ item. * Optional `classifiers` may follow the term on the same line, each after an inline " : " (space, colon, space). Inline markup is parsed in the term line before the classifier delimiters are recognized. A delimiter will only be recognized if it appears outside of any inline markup. * A `definition` is a block indented relative to the term, and may contain multiple paragraphs and other body elements. There may be no blank line between a term line and a definition block (this distinguishes definition lists from `block quotes`_). Blank lines are required before the first and after the last definition list item, but are optional in-between. Example:: term 1 Definition 1. term 2 Definition 2, paragraph 1. Definition 2, paragraph 2. term 3 : classifier Definition 3. term 4 : classifier one : classifier two Definition 4. \-term 5 Without escaping, this would be an option list item. A definition list may be used in various ways, including: - As a dictionary or glossary. The term is the word itself, a classifier may be used to indicate the usage of the term (noun, verb, etc.), and the definition follows. - To describe program variables. The term is the variable name, a classifier may be used to indicate the type of the variable (string, integer, etc.), and the definition describes the variable's use in the program. This usage of definition lists supports the classifier syntax of Grouch_, a system for describing and enforcing a Python object schema. Syntax diagram:: +----------------------------+ | term [ " : " classifier ]* | +--+-------------------------+--+ | definition | | (body elements)+ | +----------------------------+ Field Lists ----------- Doctree elements: field_list_, field_, field_name_, field_body_. Field lists are used as part of an extension syntax, such as options for directives_, or database-like records meant for further processing. They may also be used for two-column table-like structures resembling database records (label & data pairs). Applications of reStructuredText may recognize field names and transform fields or field bodies in certain contexts. For examples, see `Bibliographic Fields`_ below, or the "image_" and "meta_" directives in `reStructuredText Directives`_. .. _field names: Field lists are mappings from *field names* to *field bodies*, modeled on RFC822_ headers. A field name may consist of any characters, but colons (":") inside of field names must be backslash-escaped when followed by whitespace.\ [#]_ Inline markup is parsed in field names, but care must be taken when using `interpreted text`_ with explicit roles in field names: the role must be a suffix to the interpreted text. Field names are case-insensitive when further processed or transformed. The field name, along with a single colon prefix and suffix, together form the field marker. The field marker is followed by whitespace and the field body. The field body may contain multiple body elements, indented relative to the field marker. The first line after the field name marker determines the indentation of the field body. For example:: :Date: 2001-08-16 :Version: 1 :Authors: - Me - Myself - I :Indentation: Since the field marker may be quite long, the second and subsequent lines of the field body do not have to line up with the first line, but they must be indented relative to the field name marker, and they must line up with each other. :Parameter i: integer The interpretation of individual words in a multi-word field name is up to the application. The application may specify a syntax for the field name. For example, second and subsequent words may be treated as "arguments", quoted phrases may be treated as a single argument, and direct support for the "name=value" syntax may be added. Standard RFC822_ headers cannot be used for this construct because they are ambiguous. A word followed by a colon at the beginning of a line is common in written text. However, in well-defined contexts such as when a field list invariably occurs at the beginning of a document (PEPs and email messages), standard RFC822 headers could be used. Syntax diagram (simplified):: +--------------------+----------------------+ | ":" field name ":" | field body | +-------+------------+ | | (body elements)+ | +-----------------------------------+ .. [#] Up to Docutils 0.14, field markers were not recognized when containing a colon. Bibliographic Fields ```````````````````` Doctree elements: docinfo_, address_, author_, authors_, contact_, copyright_, date_, organization_, revision_, status_, topic_, version_. When a field list is the first element in a document (after the document title, if there is one) [#]_, it may have its fields transformed to document bibliographic data. This bibliographic data corresponds to the front matter of a book, such as the title page and copyright page. .. [#] In addition to the document title and subtitle, also comments_, `substitution definitions`_, `hyperlink targets`_, and "header", "footer", "meta", and "raw" directives_ may be placed before the bibliographic fields. Certain registered field names (listed below) are recognized and transformed to the corresponding doctree elements, most becoming child elements of the docinfo_ element. No ordering is required of these fields, although they may be rearranged to fit the document structure, as noted. Unless otherwise indicated below, each of the bibliographic elements' field bodies may contain a single paragraph only. Field bodies may be checked for `RCS keywords`_ and cleaned up. Any unrecognized fields will remain as generic fields in the docinfo element. The registered bibliographic field names and their corresponding doctree elements are as follows: ============= ================ Field name doctree element ============= ================ Abstract topic_ Address address_ Author author_ Authors authors_ Contact contact_ Copyright copyright_ Date date_ Dedication topic_ Organization organization_ Revision revision_ Status status_ Version version_ ============= ================ The "Authors" field may contain either: a single paragraph consisting of a list of authors, separated by ";" or "," (";" is checked first, so "Doe, Jane; Doe, John" will work.); multiple paragraphs (one per author); or a bullet list whose elements each contain a single paragraph per author. In some languages (e.g. Swedish), there is no singular/plural distinction between "Author" and "Authors", so only an "Authors" field is provided, and a single name is interpreted as an "Author". If a single name contains a comma, end it with a semicolon to disambiguate: ":Authors: Doe, Jane;". The "Address" field is for a multi-line surface mailing address. Newlines and whitespace will be preserved. The "Dedication" and "Abstract" fields may contain arbitrary body elements. Only one of each is allowed. They become topic elements with "Dedication" or "Abstract" titles (or language equivalents) immediately following the docinfo element. This field-name-to-element mapping can be replaced for other languages. See the `DocInfo transform`_ implementation documentation for details. Unregistered/generic fields may contain one or more paragraphs or arbitrary body elements. The field name is also used as a `"classes" attribute`_ value after being converted into a valid identifier form. RCS Keywords ```````````` `Bibliographic fields`_ recognized by the parser are normally checked for RCS [#]_ keywords and cleaned up [#]_. RCS keywords may be entered into source files as "$keyword$", and once stored under RCS, CVS [#]_, or SVN [#]_, they are expanded to "$keyword: expansion text $". For example, a "Status" field will be transformed to a "status" element:: :Status: $keyword: expansion text $ .. [#] Revision Control System. .. [#] RCS keyword processing can be turned off (unimplemented). .. [#] Concurrent Versions System. CVS uses the same keywords as RCS. .. [#] Subversion Versions System. Uses the same keywords as RCS. Processed, the "status" element's text will become simply "expansion text". The dollar sign delimiters and leading RCS keyword name are removed. The RCS keyword processing only kicks in when the field list is in bibliographic context (first non-comment construct in the document, after a document title if there is one). .. _option list: Option Lists ------------ Doctree elements: option_list_, option_list_item_, option_group_, option_, option_string_, option_argument_, description_. Option lists map a program's command-line options to descriptions documenting them. For example:: -a Output all. -b Output both (this description is quite long). -c arg Output just arg. --long Output all day long. -p This option has two paragraphs in the description. This is the first. This is the second. Blank lines may be omitted between options (as above) or left in (as here and below). --very-long-option A VMS-style option. Note the adjustment for the required two spaces. --an-even-longer-option The description can also start on the next line. -2, --two This option has two variants. -f FILE, --file=FILE These two options are synonyms; both have arguments. /V A VMS/DOS-style option. There are several types of options recognized by reStructuredText: - Short POSIX options consist of one dash and an option letter. - Long POSIX options consist of two dashes and an option word; some systems use a single dash. - Old GNU-style "plus" options consist of one plus and an option letter ("plus" options are deprecated now, their use discouraged). - DOS/VMS options consist of a slash and an option letter or word. Please note that both POSIX-style and DOS/VMS-style options may be used by DOS or Windows software. These and other variations are sometimes used mixed together. The names above have been chosen for convenience only. The syntax for short and long POSIX options is based on the syntax supported by Python's getopt.py_ module, which implements an option parser similar to the `GNU libc getopt_long()`_ function but with some restrictions. There are many variant option systems, and reStructuredText option lists do not support all of them. Although long POSIX and DOS/VMS option words may be allowed to be truncated by the operating system or the application when used on the command line, reStructuredText option lists do not show or support this with any special syntax. The complete option word should be given, supported by notes about truncation if and when applicable. Options may be followed by an argument placeholder, whose role and syntax should be explained in the description text. Either a space or an equals sign may be used as a delimiter between long options and option argument placeholders; short options ("-" or "+" prefix only) use a space or omit the delimiter. Option arguments may take one of two forms: - Begins with a letter (``[a-zA-Z]``) and subsequently consists of letters, numbers, underscores and hyphens (``[a-zA-Z0-9_-]``). - Begins with an open-angle-bracket (``<``) and ends with a close-angle-bracket (``>``); any characters except angle brackets are allowed internally. Multiple option "synonyms" may be listed, sharing a single description. They must be separated by comma-space. There must be at least two spaces between the option(s) and the description (which can also start on the next line). The description may contain multiple body elements. The first line after the option marker determines the indentation of the description. As with other types of lists, blank lines are required before the first option list item and after the last, but are optional between option entries. Syntax diagram (simplified):: +----------------------------+-------------+ | option [" " argument] " " | description | +-------+--------------------+ | | (body elements)+ | +----------------------------------+ Literal Blocks -------------- Doctree element: literal_block_. A paragraph consisting of two colons ("::") signifies that the following text block(s) comprise a literal block. The literal block must either be indented or quoted (see below). No markup processing is done within a literal block. It is left as-is, and is typically rendered in a monospaced typeface:: This is a typical paragraph. An indented literal block follows. :: for a in [5,4,3,2,1]: # this is program code, shown as-is print a print "it's..." # a literal block continues until the indentation ends This text has returned to the indentation of the first paragraph, is outside of the literal block, and is therefore treated as an ordinary paragraph. The paragraph containing only "::" will be completely removed from the output; no empty paragraph will remain. As a convenience, the "::" is recognized at the end of any paragraph. If immediately preceded by whitespace, both colons will be removed from the output (this is the "partially minimized" form). When text immediately precedes the "::", *one* colon will be removed from the output, leaving only one colon visible (i.e., "::" will be replaced by ":"; this is the "fully minimized" form). In other words, these are all equivalent (please pay attention to the colons after "Paragraph"): 1. Expanded form:: Paragraph: :: Literal block 2. Partially minimized form:: Paragraph: :: Literal block 3. Fully minimized form:: Paragraph:: Literal block All whitespace (including line breaks, but excluding minimum indentation for indented literal blocks) is preserved. Blank lines are required before and after a literal block, but these blank lines are not included as part of the literal block. Indented Literal Blocks ``````````````````````` Indented literal blocks are indicated by indentation relative to the surrounding text (leading whitespace on each line). The minimum indentation will be removed from each line of an indented literal block. The literal block need not be contiguous; blank lines are allowed between sections of indented text. The literal block ends with the end of the indentation. Syntax diagram:: +------------------------------+ | paragraph | | (ends with "::") | +------------------------------+ +---------------------------+ | indented literal block | +---------------------------+ Quoted Literal Blocks ````````````````````` Quoted literal blocks are unindented contiguous blocks of text where each line begins with the same non-alphanumeric printable 7-bit ASCII character [#]_. A blank line ends a quoted literal block. The quoting characters are preserved in the processed document. .. [#] The following are all valid quoting characters:: ! " # $ % & ' ( ) * + , - . / : ; < = > ? @ [ \ ] ^ _ ` { | } ~ Note that these are the same characters as are valid for title adornment of sections_. Possible uses include literate programming in Haskell and email quoting:: John Doe wrote:: >> Great idea! > > Why didn't I think of that? You just did! ;-) Syntax diagram:: +------------------------------+ | paragraph | | (ends with "::") | +------------------------------+ +------------------------------+ | ">" per-line-quoted | | ">" contiguous literal block | +------------------------------+ Line Blocks ----------- Doctree elements: line_block_, line_. (New in Docutils 0.3.5.) Line blocks are useful for address blocks, verse (poetry, song lyrics), and unadorned lists, where the structure of lines is significant. Line blocks are groups of lines beginning with vertical bar ("|") prefixes. Each vertical bar prefix indicates a new line, so line breaks are preserved. Initial indents are also significant, resulting in a nested structure. Inline markup is supported. Continuation lines are wrapped portions of long lines; they begin with a space in place of the vertical bar. The left edge of a continuation line must be indented, but need not be aligned with the left edge of the text above it. A line block ends with a blank line. This example illustrates continuation lines:: | Lend us a couple of bob till Thursday. | I'm absolutely skint. | But I'm expecting a postal order and I can pay you back as soon as it comes. | Love, Ewan. This example illustrates the nesting of line blocks, indicated by the initial indentation of new lines:: Take it away, Eric the Orchestra Leader! | A one, two, a one two three four | | Half a bee, philosophically, | must, *ipso facto*, half not be. | But half the bee has got to be, | *vis a vis* its entity. D'you see? | | But can a bee be said to be | or not to be an entire bee, | when half the bee is not a bee, | due to some ancient injury? | | Singing... Syntax diagram:: +------+-----------------------+ | "| " | line | +------| continuation line | +-----------------------+ Block Quotes ------------ Doctree elements: block_quote_, attribution_. A text block that is indented relative to the preceding text, without preceding markup indicating it to be a literal block or other content, is a block quote. All markup processing (for body elements and inline markup) continues within the block quote:: This is an ordinary paragraph, introducing a block quote. "It is my business to know things. That is my trade." -- Sherlock Holmes A block quote may end with an attribution: a text block beginning with ``--``, ``---``, or a true em-dash, flush left within the block quote. If the attribution consists of multiple lines, the left edges of the second and subsequent lines must align. Multiple block quotes may occur consecutively if terminated with attributions. Unindented paragraph. Block quote 1. -- Attribution 1 Block quote 2. `Empty comments`_ may be used to explicitly terminate preceding constructs that would otherwise consume a block quote:: * List item. .. Block quote 3. Empty comments may also be used to separate block quotes:: Block quote 4. .. Block quote 5. Blank lines are required before and after a block quote, but these blank lines are not included as part of the block quote. Syntax diagram:: +------------------------------+ | (current level of | | indentation) | +------------------------------+ +---------------------------+ | block quote | | (body elements)+ | | | | -- attribution text | | (optional) | +---------------------------+ Doctest Blocks -------------- Doctree element: doctest_block_. Doctest blocks are interactive Python sessions cut-and-pasted into docstrings. They are meant to illustrate usage by example, and provide an elegant and powerful testing environment via the `doctest module`_ in the Python standard library. Doctest blocks are text blocks which begin with ``">>> "``, the Python interactive interpreter main prompt, and end with a blank line. Doctest blocks are treated as a special case of literal blocks, without requiring the literal block syntax. If both are present, the literal block syntax takes priority over Doctest block syntax:: This is an ordinary paragraph. >>> print 'this is a Doctest block' this is a Doctest block The following is a literal block:: >>> This is not recognized as a doctest block by reStructuredText. It *will* be recognized by the doctest module, though! Indentation is not required for doctest blocks. Tables ------ Doctree elements: table_, tgroup_, colspec_, thead_, tbody_, row_, entry_. ReStructuredText provides two syntax variants for delineating table cells: `Grid Tables`_ and `Simple Tables`_. Tables are also generated by the `CSV Table`_ and `List Table`_ directives. The `table directive`_ is used to add a table title or specify options. As with other body elements, blank lines are required before and after tables. Tables' left edges should align with the left edge of preceding text blocks; if indented, the table is considered to be part of a block quote. Once isolated, each table cell is treated as a miniature document; the top and bottom cell boundaries act as delimiting blank lines. Each cell contains zero or more body elements. Cell contents may include left and/or right margins, which are removed before processing. Grid Tables ``````````` Grid tables provide a complete table representation via grid-like "ASCII art". Grid tables allow arbitrary cell contents (body elements), and both row and column spans. However, grid tables can be cumbersome to produce, especially for simple data sets. The `Emacs table mode`_ is a tool that allows easy editing of grid tables, in Emacs. See `Simple Tables`_ for a simpler (but limited) representation. Grid tables are described with a visual grid made up of the characters "-", "=", "|", and "+". The hyphen ("-") is used for horizontal lines (row separators). The equals sign ("=") may be used to separate optional header rows from the table body (not supported by the `Emacs table mode`_). The vertical bar ("|") is used for vertical lines (column separators). The plus sign ("+") is used for intersections of horizontal and vertical lines. Example:: +------------------------+------------+----------+----------+ | Header row, column 1 | Header 2 | Header 3 | Header 4 | | (header rows optional) | | | | +========================+============+==========+==========+ | body row 1, column 1 | column 2 | column 3 | column 4 | +------------------------+------------+----------+----------+ | body row 2 | Cells may span columns. | +------------------------+------------+---------------------+ | body row 3 | Cells may | - Table cells | +------------------------+ span rows. | - contain | | body row 4 | | - body elements. | +------------------------+------------+---------------------+ Some care must be taken with grid tables to avoid undesired interactions with cell text in rare cases. For example, the following table contains a cell in row 2 spanning from column 2 to column 4:: +--------------+----------+-----------+-----------+ | row 1, col 1 | column 2 | column 3 | column 4 | +--------------+----------+-----------+-----------+ | row 2 | | +--------------+----------+-----------+-----------+ | row 3 | | | | +--------------+----------+-----------+-----------+ If a vertical bar is used in the text of that cell, it could have unintended effects if accidentally aligned with column boundaries:: +--------------+----------+-----------+-----------+ | row 1, col 1 | column 2 | column 3 | column 4 | +--------------+----------+-----------+-----------+ | row 2 | Use the command ``ls | more``. | +--------------+----------+-----------+-----------+ | row 3 | | | | +--------------+----------+-----------+-----------+ Several solutions are possible. All that is needed is to break the continuity of the cell outline rectangle. One possibility is to shift the text by adding an extra space before:: +--------------+----------+-----------+-----------+ | row 1, col 1 | column 2 | column 3 | column 4 | +--------------+----------+-----------+-----------+ | row 2 | Use the command ``ls | more``. | +--------------+----------+-----------+-----------+ | row 3 | | | | +--------------+----------+-----------+-----------+ Another possibility is to add an extra line to row 2:: +--------------+----------+-----------+-----------+ | row 1, col 1 | column 2 | column 3 | column 4 | +--------------+----------+-----------+-----------+ | row 2 | Use the command ``ls | more``. | | | | +--------------+----------+-----------+-----------+ | row 3 | | | | +--------------+----------+-----------+-----------+ Simple Tables ````````````` Simple tables provide a compact and easy to type but limited row-oriented table representation for simple data sets. Cell contents are typically single paragraphs, although arbitrary body elements may be represented in most cells. Simple tables allow multi-line rows (in all but the first column) and column spans, but not row spans. See `Grid Tables`_ above for a complete table representation. Simple tables are described with horizontal borders made up of "=" and "-" characters. The equals sign ("=") is used for top and bottom table borders, and to separate optional header rows from the table body. The hyphen ("-") is used to indicate column spans in a single row by underlining the joined columns, and may optionally be used to explicitly and/or visually separate rows. A simple table begins with a top border of equals signs with one or more spaces at each column boundary (two or more spaces recommended). Regardless of spans, the top border *must* fully describe all table columns. There must be at least two columns in the table (to differentiate it from section headers). The top border may be followed by header rows, and the last of the optional header rows is underlined with '=', again with spaces at column boundaries. There may not be a blank line below the header row separator; it would be interpreted as the bottom border of the table. The bottom boundary of the table consists of '=' underlines, also with spaces at column boundaries. For example, here is a truth table, a three-column table with one header row and four body rows:: ===== ===== ======= A B A and B ===== ===== ======= False False False True False False False True False True True True ===== ===== ======= Underlines of '-' may be used to indicate column spans by "filling in" column margins to join adjacent columns. Column span underlines must be complete (they must cover all columns) and align with established column boundaries. Text lines containing column span underlines may not contain any other text. A column span underline applies only to one row immediately above it. For example, here is a table with a column span in the header:: ===== ===== ====== Inputs Output ------------ ------ A B A or B ===== ===== ====== False False False True False True False True True True True True ===== ===== ====== Each line of text must contain spaces at column boundaries, except where cells have been joined by column spans. Each line of text starts a new row, except when there is a blank cell in the first column. In that case, that line of text is parsed as a continuation line. For this reason, cells in the first column of new rows (*not* continuation lines) *must* contain some text; blank cells would lead to a misinterpretation (but see the tip below). Also, this mechanism limits cells in the first column to only one line of text. Use `grid tables`_ if this limitation is unacceptable. .. Tip:: To start a new row in a simple table without text in the first column in the processed output, use one of these: * an empty comment (".."), which may be omitted from the processed output (see Comments_ below) * a backslash escape ("``\``") followed by a space (see `Escaping Mechanism`_ above) Underlines of '-' may also be used to visually separate rows, even if there are no column spans. This is especially useful in long tables, where rows are many lines long. Blank lines are permitted within simple tables. Their interpretation depends on the context. Blank lines *between* rows are ignored. Blank lines *within* multi-line rows may separate paragraphs or other body elements within cells. The rightmost column is unbounded; text may continue past the edge of the table (as indicated by the table borders). However, it is recommended that borders be made long enough to contain the entire text. The following example illustrates continuation lines (row 2 consists of two lines of text, and four lines for row 3), a blank line separating paragraphs (row 3, column 2), text extending past the right edge of the table, and a new row which will have no text in the first column in the processed output (row 4):: ===== ===== col 1 col 2 ===== ===== 1 Second column of row 1. 2 Second column of row 2. Second line of paragraph. 3 - Second column of row 3. - Second item in bullet list (row 3, column 2). \ Row 4; column 1 will be empty. ===== ===== Explicit Markup Blocks ---------------------- The explicit markup syntax is used for footnotes_, citations_, `hyperlink targets`_, directives_, `substitution definitions`_, and comments_. An explicit markup block is a text block: - whose first line begins with ".." followed by whitespace (the "explicit markup start"), - whose second and subsequent lines (if any) are indented relative to the first, and - which ends before an unindented line. Explicit markup blocks are analogous to field list items. The maximum common indentation is always removed from the second and subsequent lines of the block body. Therefore, if the first construct fits in one line and the indentation of the first and second constructs should differ, the first construct should not begin on the same line as the explicit markup start. Blank lines are required between explicit markup blocks and other elements, but are optional between explicit markup blocks where unambiguous. Footnotes ````````` See also: `Footnote References`_. Doctree elements: footnote_, label_. Configuration settings: `footnote_references <footnote_references setting_>`_. .. _footnote_references setting: ../../user/config.html#footnote-references Each footnote consists of an explicit markup start (".. "), a left square bracket, the footnote label, a right square bracket, and whitespace, followed by indented body elements. A footnote label can be: - a whole decimal number consisting of one or more digits, - a single "#" (denoting `auto-numbered footnotes`_), - a "#" followed by a simple reference name (an `autonumber label`_), or - a single "*" (denoting `auto-symbol footnotes`_). The footnote content (body elements) must be consistently indented and left-aligned. The first body element within a footnote may often begin on the same line as the footnote label. However, if the first element fits on one line and the indentation of the remaining elements differ, the first element must begin on the line after the footnote label. Otherwise, the difference in indentation will not be detected. Footnotes may occur anywhere in the document, not only at the end. Where and how they appear in the processed output depends on the processing system. Here is a manually numbered footnote:: .. [1] Body elements go here. Each footnote automatically generates a hyperlink target pointing to itself. The text of the hyperlink target name is the same as that of the footnote label. `Auto-numbered footnotes`_ generate a number as their footnote label and reference name. See `Implicit Hyperlink Targets`_ for a complete description of the mechanism. Syntax diagram:: +-------+-------------------------+ | ".. " | "[" label "]" footnote | +-------+ | | (body elements)+ | +-------------------------+ Auto-Numbered Footnotes ....................... A number sign ("#") may be used as the first character of a footnote label to request automatic numbering of the footnote or footnote reference. The first footnote to request automatic numbering is assigned the label "1", the second is assigned the label "2", and so on (assuming there are no manually numbered footnotes present; see `Mixed Manual and Auto-Numbered Footnotes`_ below). A footnote which has automatically received a label "1" generates an implicit hyperlink target with name "1", just as if the label was explicitly specified. .. _autonumber label: `autonumber labels`_ A footnote may specify a label explicitly while at the same time requesting automatic numbering: ``[#label]``. These labels are called _`autonumber labels`. Autonumber labels do two things: - On the footnote itself, they generate a hyperlink target whose name is the autonumber label (doesn't include the "#"). - They allow an automatically numbered footnote to be referred to more than once, as a footnote reference or hyperlink reference. For example:: If [#note]_ is the first footnote reference, it will show up as "[1]". We can refer to it again as [#note]_ and again see "[1]". We can also refer to it as note_ (an ordinary internal hyperlink reference). .. [#note] This is the footnote labeled "note". The numbering is determined by the order of the footnotes, not by the order of the references. For footnote references without autonumber labels (``[#]_``), the footnotes and footnote references must be in the same relative order but need not alternate in lock-step. For example:: [#]_ is a reference to footnote 1, and [#]_ is a reference to footnote 2. .. [#] This is footnote 1. .. [#] This is footnote 2. .. [#] This is footnote 3. [#]_ is a reference to footnote 3. Special care must be taken if footnotes themselves contain auto-numbered footnote references, or if multiple references are made in close proximity. Footnotes and references are noted in the order they are encountered in the document, which is not necessarily the same as the order in which a person would read them. Auto-Symbol Footnotes ..................... An asterisk ("*") may be used for footnote labels to request automatic symbol generation for footnotes and footnote references. The asterisk may be the only character in the label. For example:: Here is a symbolic footnote reference: [*]_. .. [*] This is the footnote. A transform will insert symbols as labels into corresponding footnotes and footnote references. The number of references must be equal to the number of footnotes. One symbol footnote cannot have multiple references. The standard Docutils system uses the following symbols for footnote marks [#]_: - asterisk/star ("*") - dagger (HTML character entity "†", Unicode U+02020) - double dagger ("‡"/U+02021) - section mark ("§"/U+000A7) - pilcrow or paragraph mark ("¶"/U+000B6) - number sign ("#") - spade suit ("♠"/U+02660) - heart suit ("♥"/U+02665) - diamond suit ("♦"/U+02666) - club suit ("♣"/U+02663) .. [#] This list was inspired by the list of symbols for "Note Reference Marks" in The Chicago Manual of Style, 14th edition, section 12.51. "Parallels" ("||") were given in CMoS instead of the pilcrow. The last four symbols (the card suits) were added arbitrarily. If more than ten symbols are required, the same sequence will be reused, doubled and then tripled, and so on ("**" etc.). .. Note:: When using auto-symbol footnotes, the choice of output encoding is important. Many of the symbols used are not encodable in certain common text encodings such as Latin-1 (ISO 8859-1). The use of UTF-8 for the output encoding is recommended. An alternative for HTML and XML output is to use the "xmlcharrefreplace" `output encoding error handler`__. __ ../../user/config.html#output-encoding-error-handler Mixed Manual and Auto-Numbered Footnotes ........................................ Manual and automatic footnote numbering may both be used within a single document, although the results may not be expected. Manual numbering takes priority. Only unused footnote numbers are assigned to auto-numbered footnotes. The following example should be illustrative:: [2]_ will be "2" (manually numbered), [#]_ will be "3" (anonymous auto-numbered), and [#label]_ will be "1" (labeled auto-numbered). .. [2] This footnote is labeled manually, so its number is fixed. .. [#label] This autonumber-labeled footnote will be labeled "1". It is the first auto-numbered footnote and no other footnote with label "1" exists. The order of the footnotes is used to determine numbering, not the order of the footnote references. .. [#] This footnote will be labeled "3". It is the second auto-numbered footnote, but footnote label "2" is already used. Citations ````````` See also: `Citation References`_. Doctree element: citation_ Citations are identical to footnotes except that they use only non-numeric labels such as ``[note]`` or ``[GVR2001]``. Citation labels are simple `reference names`_ (case-insensitive single words consisting of alphanumerics plus internal hyphens, underscores, and periods; no whitespace). Citations may be rendered separately and differently from footnotes. For example:: Here is a citation reference: [CIT2002]_. .. [CIT2002] This is the citation. It's just like a footnote, except the label is textual. .. _hyperlinks: Hyperlink Targets ````````````````` Doctree element: target_. These are also called _`explicit hyperlink targets`, to differentiate them from `implicit hyperlink targets`_ defined below. Hyperlink targets identify a location within or outside of a document, which may be linked to by `hyperlink references`_. Hyperlink targets may be named or anonymous. Named hyperlink targets consist of an explicit markup start (".. "), an underscore, the reference name (no trailing underscore), a colon, whitespace, and a link block:: .. _hyperlink-name: link-block Reference names are whitespace-neutral and case-insensitive. See `Reference Names`_ for details and examples. Anonymous hyperlink targets consist of an explicit markup start (".. "), two underscores, a colon, whitespace, and a link block; there is no reference name:: .. __: anonymous-hyperlink-target-link-block An alternate syntax for anonymous hyperlinks consists of two underscores, a space, and a link block:: __ anonymous-hyperlink-target-link-block See `Anonymous Hyperlinks`_ below. There are three types of hyperlink targets: internal, external, and indirect. 1. _`Internal hyperlink targets` have empty link blocks. They provide an end point allowing a hyperlink to connect one place to another within a document. An internal hyperlink target points to the element following the target. [#]_ For example:: Clicking on this internal hyperlink will take us to the target_ below. .. _target: The hyperlink target above points to this paragraph. Internal hyperlink targets may be "chained". Multiple adjacent internal hyperlink targets all point to the same element:: .. _target1: .. _target2: The targets "target1" and "target2" are synonyms; they both point to this paragraph. If the element "pointed to" is an external hyperlink target (with a URI in its link block; see #2 below) the URI from the external hyperlink target is propagated to the internal hyperlink targets; they will all "point to" the same URI. There is no need to duplicate a URI. For example, all three of the following hyperlink targets refer to the same URI:: .. _Python DOC-SIG mailing list archive: .. _archive: .. _Doc-SIG: https://mail.python.org/pipermail/doc-sig/ An inline form of internal hyperlink target is available; see `Inline Internal Targets`_. .. [#] Works also, if the internal hyperlink target is "nested" at the end of an indented text block. This behaviour allows setting targets to individual list items (except the first, as a preceding internal target applies to the list as a whole):: * bullet list .. _`second item`: * second item, with hyperlink target. 2. _`External hyperlink targets` have an absolute or relative URI or email address in their link blocks. For example, take the following input:: See the Python_ home page for info. `Write to me`_ with your questions. .. _Python: https://www.python.org .. _Write to me: jdoe@example.com After processing into HTML, the hyperlinks might be expressed as:: See the <a href="https://www.python.org">Python</a> home page for info. <a href="mailto:jdoe@example.com">Write to me</a> with your questions. An external hyperlink's URI may begin on the same line as the explicit markup start and target name, or it may begin in an indented text block immediately following, with no intervening blank lines. If there are multiple lines in the link block, they are concatenated. Any unescaped whitespace is removed (whitespace is permitted to allow for line wrapping). The following external hyperlink targets are equivalent:: .. _one-liner: https://docutils.sourceforge.io/rst.html .. _starts-on-this-line: https:// docutils.sourceforge.net/rst.html .. _entirely-below: https://docutils. sourceforge.net/rst.html Escaped whitespace is preserved as intentional spaces, e.g.:: .. _reference: ../local\ path\ with\ spaces.html If an external hyperlink target's URI contains an underscore as its last character, it must be escaped to avoid being mistaken for an indirect hyperlink target:: This link_ refers to a file called ``underscore_``. .. _link: underscore\_ It is possible (although not generally recommended) to include URIs directly within hyperlink references. See `Embedded URIs and Aliases`_ below. 3. _`Indirect hyperlink targets` have a hyperlink reference in their link blocks. In the following example, target "one" indirectly references whatever target "two" references, and target "two" references target "three", an internal hyperlink target. In effect, all three reference the same thing:: .. _one: two_ .. _two: three_ .. _three: Just as with `hyperlink references`_ anywhere else in a document, if a phrase-reference is used in the link block it must be enclosed in backquotes. As with `external hyperlink targets`_, the link block of an indirect hyperlink target may begin on the same line as the explicit markup start or the next line. It may also be split over multiple lines, in which case the lines are joined with whitespace before being normalized. For example, the following indirect hyperlink targets are equivalent:: .. _one-liner: `A HYPERLINK`_ .. _entirely-below: `a hyperlink`_ .. _split: `A Hyperlink`_ It is possible to include an alias directly within hyperlink references. See `Embedded URIs and Aliases`_ below. If the reference name contains any colons, either: - the phrase must be enclosed in backquotes:: .. _`FAQTS: Computers: Programming: Languages: Python`: http://python.faqts.com/ - or the colon(s) must be backslash-escaped in the link target:: .. _Chapter One\: "Tadpole Days": It's not easy being green... See `Implicit Hyperlink Targets`_ below for the resolution of duplicate reference names. Syntax diagram:: +-------+----------------------+ | ".. " | "_" name ":" link | +-------+ block | | | +----------------------+ Anonymous Hyperlinks .................... The `World Wide Web Consortium`_ recommends in its `HTML Techniques for Web Content Accessibility Guidelines`_ that authors should "clearly identify the target of each link." Hyperlink references should be as verbose as possible, but duplicating a verbose hyperlink name in the target is onerous and error-prone. Anonymous hyperlinks are designed to allow convenient verbose hyperlink references, and are analogous to `Auto-Numbered Footnotes`_. They are particularly useful in short or one-off documents. However, this feature is easily abused and can result in unreadable plaintext and/or unmaintainable documents. Caution is advised. Anonymous `hyperlink references`_ are specified with two underscores instead of one:: See `the web site of my favorite programming language`__. Anonymous targets begin with ".. __:"; no reference name is required or allowed:: .. __: https://www.python.org As a convenient alternative, anonymous targets may begin with "__" only:: __ https://www.python.org The reference name of the reference is not used to match the reference to its target. Instead, the order of anonymous hyperlink references and targets within the document is significant: the first anonymous reference will link to the first anonymous target. The number of anonymous hyperlink references in a document must match the number of anonymous targets. For readability, it is recommended that targets be kept close to references. Take care when editing text containing anonymous references; adding, removing, and rearranging references require attention to the order of corresponding targets. Directives `````````` Doctree elements: depend on the directive. Directives are an extension mechanism for reStructuredText, a way of adding support for new constructs without adding new primary syntax (directives may support additional syntax locally). All standard directives (those implemented and registered in the reference reStructuredText parser) are described in the `reStructuredText Directives`_ document, and are always available. Any other directives are domain-specific, and may require special action to make them available when processing the document. For example, here's how an image_ may be placed:: .. image:: mylogo.jpeg A figure_ (a graphic with a caption) may placed like this:: .. figure:: larch.png The larch. An admonition_ (note, caution, etc.) contains other body elements:: .. note:: This is a paragraph - Here is a bullet list. Directives are indicated by an explicit markup start (".. ") followed by the directive type, two colons, and whitespace (together called the "directive marker"). Directive types are case-insensitive single words (alphanumerics plus isolated internal hyphens, underscores, plus signs, colons, and periods; no whitespace). Two colons are used after the directive type for these reasons: - Two colons are distinctive, and unlikely to be used in common text. - Two colons avoids clashes with common comment text like:: .. Danger: modify at your own risk! - If an implementation of reStructuredText does not recognize a directive (i.e., the directive-handler is not installed), a level-3 (error) system message is generated, and the entire directive block (including the directive itself) will be included as a literal block. Thus "::" is a natural choice. The directive block consists of any text on the first line of the directive after the directive marker, and any subsequent indented text. The interpretation of the directive block is up to the directive code. There are three logical parts to the directive block: 1. Directive arguments. 2. Directive options. 3. Directive content. Individual directives can employ any combination of these parts. Directive arguments can be filesystem paths, URLs, title text, etc. Directive options are indicated using `field lists`_; the field names and contents are directive-specific. Arguments and options must form a contiguous block beginning on the first or second line of the directive; a blank line indicates the beginning of the directive content block. If either arguments and/or options are employed by the directive, a blank line must separate them from the directive content. The "figure" directive employs all three parts:: .. figure:: larch.png :scale: 50 The larch. Simple directives may not require any content. If a directive that does not employ a content block is followed by indented text anyway, it is an error. If a block quote should immediately follow a directive, use an empty comment in-between (see Comments_ below). Actions taken in response to directives and the interpretation of text in the directive content block or subsequent text block(s) are directive-dependent. See `reStructuredText Directives`_ for details. Directives are meant for the arbitrary processing of their contents, which can be transformed into something possibly unrelated to the original text. It may also be possible for directives to be used as pragmas, to modify the behavior of the parser, such as to experiment with alternate syntax. There is no parser support for this functionality at present; if a reasonable need for pragma directives is found, they may be supported. Directives do not generate "directive" elements; they are a *parser construct* only, and have no intrinsic meaning outside of reStructuredText. Instead, the parser will transform recognized directives into (possibly specialized) document elements. Unknown directives will trigger level-3 (error) system messages. Syntax diagram:: +-------+-------------------------------+ | ".. " | directive type "::" directive | +-------+ block | | | +-------------------------------+ Substitution Definitions ```````````````````````` Doctree element: substitution_definition_. Substitution definitions are indicated by an explicit markup start (".. ") followed by a vertical bar, the substitution text, another vertical bar, whitespace, and the definition block. Substitution text may not begin or end with whitespace. A substitution definition block contains an embedded inline-compatible directive (without the leading ".. "), such as "image_" or "replace_". For example:: The |biohazard| symbol must be used on containers used to dispose of medical waste. .. |biohazard| image:: biohazard.png It is an error for a substitution definition block to directly or indirectly contain a circular substitution reference. `Substitution references`_ are replaced in-line by the processed contents of the corresponding definition (linked by matching substitution text). Matches are case-sensitive but forgiving; if no exact match is found, a case-insensitive comparison is attempted. Substitution definitions allow the power and flexibility of block-level directives_ to be shared by inline text. They are a way to include arbitrarily complex inline structures within text, while keeping the details out of the flow of text. They are the equivalent of SGML/XML's named entities or programming language macros. Without the substitution mechanism, every time someone wants an application-specific new inline structure, they would have to petition for a syntax change. In combination with existing directive syntax, any inline structure can be coded without new syntax (except possibly a new directive). Syntax diagram:: +-------+-----------------------------------------------------+ | ".. " | "|" substitution text "| " directive type "::" data | +-------+ directive block | | | +-----------------------------------------------------+ Following are some use cases for the substitution mechanism. Please note that most of the embedded directives shown are examples only and have not been implemented. Objects Substitution references may be used to associate ambiguous text with a unique object identifier. For example, many sites may wish to implement an inline "user" directive:: |Michael| and |Jon| are our widget-wranglers. .. |Michael| user:: mjones .. |Jon| user:: jhl Depending on the needs of the site, this may be used to index the document for later searching, to hyperlink the inline text in various ways (mailto, homepage, mouseover Javascript with profile and contact information, etc.), or to customize presentation of the text (include username in the inline text, include an icon image with a link next to the text, make the text bold or a different color, etc.). The same approach can be used in documents which frequently refer to a particular type of objects with unique identifiers but ambiguous common names. Movies, albums, books, photos, court cases, and laws are possible. For example:: |The Transparent Society| offers a fascinating alternate view on privacy issues. .. |The Transparent Society| book:: isbn=0738201448 Classes or functions, in contexts where the module or class names are unclear and/or interpreted text cannot be used, are another possibility:: 4XSLT has the convenience method |runString|, so you don't have to mess with DOM objects if all you want is the transformed output. .. |runString| function:: module=xml.xslt class=Processor Images Images are a common use for substitution references:: West led the |H| 3, covered by dummy's |H| Q, East's |H| K, and trumped in hand with the |S| 2. .. |H| image:: /images/heart.png :height: 11 :width: 11 .. |S| image:: /images/spade.png :height: 11 :width: 11 * |Red light| means stop. * |Green light| means go. * |Yellow light| means go really fast. .. |Red light| image:: red_light.png .. |Green light| image:: green_light.png .. |Yellow light| image:: yellow_light.png |-><-| is the official symbol of POEE_. .. |-><-| image:: discord.png .. _POEE: http://www.poee.org/ The "image_" directive has been implemented. Styles [#]_ Substitution references may be used to associate inline text with an externally defined presentation style:: Even |the text in Texas| is big. .. |the text in Texas| style:: big The style name may be meaningful in the context of some particular output format (CSS class name for HTML output, LaTeX style name for LaTeX, etc), or may be ignored for other output formats (such as plaintext). .. @@@ This needs to be rethought & rewritten or removed: Interpreted text is unsuitable for this purpose because the set of style names cannot be predefined - it is the domain of the content author, not the author of the parser and output formatter - and there is no way to associate a style name argument with an interpreted text style role. Also, it may be desirable to use the same mechanism for styling blocks:: .. style:: motto At Bob's Underwear Shop, we'll do anything to get in your pants. .. style:: disclaimer All rights reversed. Reprint what you like. .. [#] There may be sufficient need for a "style" mechanism to warrant simpler syntax such as an extension to the interpreted text role syntax. The substitution mechanism is cumbersome for simple text styling. Templates Inline markup may be used for later processing by a template engine. For example, a Zope_ author might write:: Welcome back, |name|! .. |name| tal:: replace user/getUserName After processing, this ZPT output would result:: Welcome back, <span tal:replace="user/getUserName">name</span>! Zope would then transform this to something like "Welcome back, David!" during a session with an actual user. Replacement text The substitution mechanism may be used for simple macro substitution. This may be appropriate when the replacement text is repeated many times throughout one or more documents, especially if it may need to change later. A short example is unavoidably contrived:: |RST|_ is a little annoying to type over and over, especially when writing about |RST| itself, and spelling out the bicapitalized word |RST| every time isn't really necessary for |RST| source readability. .. |RST| replace:: reStructuredText .. _RST: https://docutils.sourceforge.io/rst.html Note the trailing underscore in the first use of a substitution reference. This indicates a reference to the corresponding hyperlink target. Substitution is also appropriate when the replacement text cannot be represented using other inline constructs, or is obtrusively long:: But still, that's nothing compared to a name like |j2ee-cas|__. .. |j2ee-cas| replace:: the Java `TM`:super: 2 Platform, Enterprise Edition Client Access Services __ http://developer.java.sun.com/developer/earlyAccess/ j2eecas/ The "replace_" directive has been implemented. Comments ```````` Doctree element: comment_. `Explicit markup blocks`_ that are not recognized as citations_, directives_, footnotes_, `hyperlink targets`_, or `substitution definitions`_ will be processed as a comment element. Arbitrary indented text may be used on the lines following the explicit markup start. To ensure that none of the other explicit markup constructs is recognized, leave the ".." on a line by itself:: .. This is a comment .. _so: is this! .. [and] this! .. this:: too! .. |even| this:: ! .. [this] however, is a citation. Apart from removing the maximum common indentation, no further processing is done on the content; a comment contains a single "text blob". Depending on the output formatter, comments may be removed from the processed output. Syntax diagram:: +-------+----------------------+ | ".. " | comment | +-------+ block | | | +----------------------+ Empty Comments .............. An explicit markup start followed by a blank line and nothing else (apart from whitespace) is an "_`empty comment`". It serves to terminate a preceding construct, and does **not** consume any indented text following. To have a block quote follow a list or any indented construct, insert an unindented empty comment in-between:: This is a definition list. .. This is a block quote. Implicit Hyperlink Targets ========================== Implicit hyperlink targets are generated by section titles, footnotes, and citations, and may also be generated by extension constructs. Implicit hyperlink targets otherwise behave identically to explicit `hyperlink targets`_. Problems of ambiguity due to conflicting duplicate implicit and explicit reference names are avoided by following this procedure: 1. `Explicit hyperlink targets`_ override any implicit targets having the same reference name. The implicit hyperlink targets are removed, and level-1 (info) system messages are inserted. 2. Duplicate implicit hyperlink targets are removed, and level-1 (info) system messages inserted. For example, if two or more sections have the same title (such as "Introduction" subsections of a rigidly-structured document), there will be duplicate implicit hyperlink targets. 3. Duplicate explicit hyperlink targets are removed, and level-2 (warning) system messages are inserted. Exception: duplicate `external hyperlink targets`_ (identical hyperlink names and referenced URIs) do not conflict, and are not removed. System messages are inserted where target links have been removed. See "Error Handling" in `PEP 258`_. The parser must return a set of *unique* hyperlink targets. The calling software (such as the Docutils_) can warn of unresolvable links, giving reasons for the messages. Inline Markup ============= In reStructuredText, inline markup applies to words or phrases within a text block. The same whitespace and punctuation that serves to delimit words in written text is used to delimit the inline markup syntax constructs (see the `inline markup recognition rules`_ for details). The text within inline markup may not begin or end with whitespace. Arbitrary `character-level inline markup`_ is supported although not encouraged. Inline markup cannot be nested. There are nine inline markup constructs. Five of the constructs use identical start-strings and end-strings to indicate the markup: - emphasis_: "*" - `strong emphasis`_: "**" - `interpreted text`_: "`" - `inline literals`_: "``" - `substitution references`_: "|" Three constructs use different start-strings and end-strings: - `inline internal targets`_: "_`" and "`" - `footnote references`_: "[" and "]_" - `hyperlink references`_: "`" and "\`_" (phrases), or just a trailing "_" (single words) `Standalone hyperlinks`_ are recognized implicitly, and use no extra markup. Inline comments are not supported. Inline markup recognition rules ------------------------------- Inline markup start-strings and end-strings are only recognized if the following conditions are met: 1. Inline markup start-strings must be immediately followed by non-whitespace. 2. Inline markup end-strings must be immediately preceded by non-whitespace. 3. The inline markup end-string must be separated by at least one character from the start-string. 4. Both, inline markup start-string and end-string must not be preceded by an unescaped backslash (except for the end-string of `inline literals`_). See `Escaping Mechanism`_ above for details. 5. If an inline markup start-string is immediately preceded by one of the ASCII characters ``' " < ( [ {`` or a similar non-ASCII character [#openers]_, it must not be followed by the corresponding closing character from ``' " > ) ] }`` or a similar non-ASCII character [#closers]_. (For quotes, matching characters can be any of the `quotation marks in international usage`_.) If the configuration setting `character-level-inline-markup`_ is False (default), additional conditions apply to the characters "around" the inline markup: 6. Inline markup start-strings must start a text block or be immediately preceded by * whitespace, * one of the ASCII characters ``- : / ' " < ( [ {`` * or a similar non-ASCII punctuation character. [#pre-chars]_ 7. Inline markup end-strings must end a text block or be immediately followed by * whitespace, * one of the ASCII characters ``- . , : ; ! ? \ / ' " ) ] } >`` * or a similar non-ASCII punctuation character. [#post-chars]_ .. [#openers] `Unicode categories`_ `Ps` (Open), `Pi` (Initial quote), or `Pf` (Final quote). [#uni-version]_ .. [#closers] Unicode categories `Pe` (Close), `Pi` (Initial quote), or `Pf` (Final quote). [#uni-version]_ .. [#pre-chars] Unicode categories `Ps` (Open), `Pi` (Initial quote), `Pf` (Final quote), `Pd` (Dash), or `Po` (Other). [#uni-version]_ .. [#post-chars] Unicode categories `Pe` (Close), `Pi` (Initial quote), `Pf` (Final quote), `Pd` (Dash), or `Po` (Other). [#uni-version]_ .. [#uni-version] The category of some characters changed with the development of the Unicode standard. Docutils 0.13 uses `Unicode version 5.2.0`_. .. _Unicode categories: https://www.unicode.org/Public/5.1.0/ucd/UCD.html#General_Category_Values .. _Unicode version 5.2.0: https://www.unicode.org/Public/5.2.0/ .. _quotation marks in international usage: https://en.wikipedia.org/wiki/Quotation_mark,_non-English_usage The inline markup recognition rules were devised to allow 90% of non-markup uses of "*", "`", "_", and "|" without escaping. For example, none of the following terms are recognized as containing inline markup strings: - 2 * x a ** b (* BOM32_* ` `` _ __ | (breaks rule 1) - || (breaks rule 3) - "*" '|' (*) [*] {*} <*> ‘*’ ‚*‘ ‘*‚ ’*’ ‚*’ “*†„*“ “*„ â€*†„*†»*« ›*‹ «*» »*» ›*› (breaks rule 5) - 2*x a**b O(N**2) e**(x*y) f(x)*f(y) a|b file*.* __init__ __init__() (breaks rule 6) No escaping is required inside the following inline markup examples: - ``*2 * x *a **b *.txt*`` (breaks rule 2; renders as "*2 * x *a **b *.txt*") - ``*2*x a**b O(N**2) e**(x*y) f(x)*f(y) a*(1+2)*`` (breaks rule 7; renders as "*2*x a**b O(N**2) e**(x*y) f(x)*f(y) a*(1+2)*") It may be desirable to use `inline literals`_ for some of these anyhow, especially if they represent code snippets. It's a judgment call. The following terms *do* require either literal-quoting or escaping to avoid misinterpretation:: *4, class_, *args, **kwargs, `TeX-quoted', *ML, *.txt In most use cases, `inline literals`_ or `literal blocks`_ are the best choice (by default, this also selects a monospaced font). Alternatively, the inline markup characters can be escaped:: \*4, class\_, \*args, \**kwargs, \`TeX-quoted', \*ML, \*.txt For languages that don't use whitespace between words (e.g. Japanese or Chinese) it is recommended to set `character-level-inline-markup`_ to True and eventually escape inline markup characters. The examples breaking rules 6 and 7 above show which constructs may need special attention. .. _character-level-inline-markup: ../../user/config.html#character-level-inline-markup Recognition order ----------------- Inline markup delimiter characters are used for multiple constructs, so to avoid ambiguity there must be a specific recognition order for each character. The inline markup recognition order is as follows: - Asterisks: `Strong emphasis`_ ("**") is recognized before emphasis_ ("*"). - Backquotes: `Inline literals`_ ("``"), `inline internal targets`_ (leading "_`", trailing "`"), are mutually independent, and are recognized before phrase `hyperlink references`_ (leading "`", trailing "\`_") and `interpreted text`_ ("`"). - Trailing underscores: Footnote references ("[" + label + "]_") and simple `hyperlink references`_ (name + trailing "_") are mutually independent. - Vertical bars: `Substitution references`_ ("|") are independently recognized. - `Standalone hyperlinks`_ are the last to be recognized. Character-Level Inline Markup ----------------------------- It is possible to mark up individual characters within a word with backslash escapes (see `Escaping Mechanism`_ above). Backslash escapes can be used to allow arbitrary text to immediately follow inline markup:: Python ``list``\s use square bracket syntax. The backslash will disappear from the processed document. The word "list" will appear as inline literal text, and the letter "s" will immediately follow it as normal text, with no space in-between. Arbitrary text may immediately precede inline markup using backslash-escaped whitespace:: Possible in *re*\ ``Structured``\ *Text*, though not encouraged. The backslashes and spaces separating "re", "Structured", and "Text" above will disappear from the processed document. .. CAUTION:: The use of backslash-escapes for character-level inline markup is not encouraged. Such use is ugly and detrimental to the unprocessed document's readability. Please use this feature sparingly and only where absolutely necessary. Emphasis -------- Doctree element: emphasis_. Start-string = end-string = "*". Text enclosed by single asterisk characters is emphasized:: This is *emphasized text*. Emphasized text is typically displayed in italics. Strong Emphasis --------------- Doctree element: strong_. Start-string = end-string = "**". Text enclosed by double-asterisks is emphasized strongly:: This is **strong text**. Strongly emphasized text is typically displayed in boldface. Interpreted Text ---------------- Doctree element: depends on the explicit or implicit role and processing. Start-string = end-string = "`". Interpreted text is text that is meant to be related, indexed, linked, summarized, or otherwise processed, but the text itself is typically left alone. Interpreted text is enclosed by single backquote characters:: This is `interpreted text`. The "role" of the interpreted text determines how the text is interpreted. The role may be inferred implicitly (as above; the "default role" is used) or indicated explicitly, using a role marker. A role marker consists of a colon, the role name, and another colon. A role name is a single word consisting of alphanumerics plus isolated internal hyphens, underscores, plus signs, colons, and periods; no whitespace or other characters are allowed. A role marker is either a prefix or a suffix to the interpreted text, whichever reads better; it's up to the author:: :role:`interpreted text` `interpreted text`:role: Interpreted text allows extensions to the available inline descriptive markup constructs. To emphasis_, `strong emphasis`_, `inline literals`_, and `hyperlink references`_, we can add "title reference", "index entry", "acronym", "class", "red", "blinking" or anything else we want (as long as it is a simple `reference name`_). Only pre-determined roles are recognized; unknown roles will generate errors. A core set of standard roles is implemented in the reference parser; see `reStructuredText Interpreted Text Roles`_ for individual descriptions. The role_ directive can be used to define custom interpreted text roles. In addition, applications may support specialized roles. In `field lists`_, care must be taken when using interpreted text with explicit roles in field names: the role must be a suffix to the interpreted text. The following are recognized as field list items:: :`field name`:code:: interpreted text with explicit role as suffix :a `complex`:code:\ field name: a backslash-escaped space is necessary The following are **not** recognized as field list items:: ::code:`not a field name`: paragraph with interpreted text :code:`not a field name`: paragraph with interpreted text Edge cases:: :field\:`name`: interpreted text (standard role) requires escaping the leading colon in a field name :field:\`name`: not interpreted text Inline Literals --------------- Doctree element: literal_. Start-string = end-string = "``". Text enclosed by double-backquotes is treated as inline literals:: This text is an example of ``inline literals``. Inline literals may contain any characters except two adjacent backquotes in an end-string context (according to the recognition rules above). No markup interpretation (including backslash-escape interpretation) is done within inline literals. Line breaks and sequences of whitespace characters are *not* protected in inline literals. Although a reStructuredText parser will preserve them in its output, the final representation of the processed document depends on the output formatter, thus the preservation of whitespace cannot be guaranteed. If the preservation of line breaks and/or other whitespace is important, `literal blocks`_ should be used. Inline literals are useful for short code snippets. For example:: The regular expression ``[+-]?(\d+(\.\d*)?|\.\d+)`` matches floating-point numbers (without exponents). Hyperlink References -------------------- Doctree element: reference_. - Named hyperlink references: - No start-string, end-string = "_". - Start-string = "`", end-string = "\`_". (Phrase references.) - Anonymous hyperlink references: - No start-string, end-string = "__". - Start-string = "`", end-string = "\`__". (Phrase references.) Hyperlink references are indicated by a trailing underscore, "_", except for `standalone hyperlinks`_ which are recognized independently. The underscore can be thought of as a right-pointing arrow. The trailing underscores point away from hyperlink references, and the leading underscores point toward `hyperlink targets`_. Hyperlinks consist of two parts. In the text body, there is a source link, a reference name with a trailing underscore (or two underscores for `anonymous hyperlinks`_):: See the Python_ home page for info. A target link with a matching reference name must exist somewhere else in the document. See `Hyperlink Targets`_ for a full description). `Anonymous hyperlinks`_ (which see) do not use reference names to match references to targets, but otherwise behave similarly to named hyperlinks. Embedded URIs and Aliases ````````````````````````` A hyperlink reference may directly embed a target URI or (since Docutils 0.11) a hyperlink reference within angle brackets ("<...>") as follows:: See the `Python home page <https://www.python.org>`_ for info. This `link <Python home page_>`_ is an alias to the link above. This is exactly equivalent to:: See the `Python home page`_ for info. This link_ is an alias to the link above. .. _Python home page: https://www.python.org .. _link: `Python home page`_ The bracketed URI must be preceded by whitespace and be the last text before the end string. With a single trailing underscore, the reference is named and the same target URI may be referred to again. With two trailing underscores, the reference and target are both anonymous, and the target cannot be referred to again. These are "one-off" hyperlinks. For example:: `RFC 2396 <https://www.rfc-editor.org/rfc/rfc2396.txt>`__ and `RFC 2732 <https://www.rfc-editor.org/rfc/rfc2732.txt>`__ together define the syntax of URIs. Equivalent to:: `RFC 2396`__ and `RFC 2732`__ together define the syntax of URIs. __ https://www.rfc-editor.org/rfc/rfc2396.txt __ https://www.rfc-editor.org/rfc/rfc2732.txt `Standalone hyperlinks`_ are treated as URIs, even if they end with an underscore like in the example of a Python function documentation:: `__init__ <http:example.py.html#__init__>`__ If a target URI that is not recognized as `standalone hyperlink`_ happens to end with an underscore, this needs to be backslash-escaped to avoid being parsed as hyperlink reference. For example :: Use the `source <parrots.txt\_>`__. creates an anonymous reference to the file ``parrots.txt_``. If the reference text happens to end with angle-bracketed text that is *not* a URI or hyperlink reference, at least one angle-bracket needs to be backslash-escaped or an escaped space should follow. For example, here are three references to titles describing a tag:: See `HTML Element: \<a>`_, `HTML Element: <b\> `_, and `HTML Element: <c>\ `_. The reference text may also be omitted, in which case the URI will be duplicated for use as the reference text. This is useful for relative URIs where the address or file name is also the desired reference text:: See `<a_named_relative_link>`_ or `<an_anonymous_relative_link>`__ for details. .. CAUTION:: This construct offers easy authoring and maintenance of hyperlinks at the expense of general readability. Inline URIs, especially long ones, inevitably interrupt the natural flow of text. For documents meant to be read in source form, the use of independent block-level `hyperlink targets`_ is **strongly recommended**. The embedded URI construct is most suited to documents intended *only* to be read in processed form. Inline Internal Targets ------------------------ Doctree element: target_. Start-string = "_`", end-string = "`". Inline internal targets are the equivalent of explicit `internal hyperlink targets`_, but may appear within running text. The syntax begins with an underscore and a backquote, is followed by a hyperlink name or phrase, and ends with a backquote. Inline internal targets may not be anonymous. For example, the following paragraph contains a hyperlink target named "Norwegian Blue":: Oh yes, the _`Norwegian Blue`. What's, um, what's wrong with it? See `Implicit Hyperlink Targets`_ for the resolution of duplicate reference names. Footnote References ------------------- See also: Footnotes_ Doctree element: footnote_reference_. Configuration settings: `footnote_references <footnote_references setting_>`_, trim_footnote_reference_space_. .. _trim_footnote_reference_space: ../../user/config.html#trim-footnote-reference-space Start-string = "[", end-string = "]_". Each footnote reference consists of a square-bracketed label followed by a trailing underscore. Footnote labels are one of: - one or more digits (i.e., a number), - a single "#" (denoting `auto-numbered footnotes`_), - a "#" followed by a simple `reference name`_ (an `autonumber label`_), or - a single "*" (denoting `auto-symbol footnotes`_). For example:: Please RTFM [1]_. .. [1] Read The Fine Manual `Inline markup recognition rules`_ may require whitespace in front of the footnote reference. To remove the whitespace from the output, use an escaped whitespace character (see `Escaping Mechanism`_) or set the trim_footnote_reference_space_ configuration setting. Leading whitespace is removed by default, if the `footnote_references setting`_ is "superscript". Citation References ------------------- See also: Citations_ Doctree element: citation_reference_. Start-string = "[", end-string = "]_". Each citation reference consists of a square-bracketed label followed by a trailing underscore. Citation labels are simple `reference names`_ (case-insensitive single words, consisting of alphanumerics plus internal hyphens, underscores, and periods; no whitespace). For example:: Here is a citation reference: [CIT2002]_. Substitution References ----------------------- Doctree elements: substitution_reference_, reference_. Start-string = "|", end-string = "|" (optionally followed by "_" or "__"). Vertical bars are used to bracket the substitution reference text. A substitution reference may also be a hyperlink reference by appending a "_" (named) or "__" (anonymous) suffix; the substitution text is used for the reference text in the named case. The processing system replaces substitution references with the processed contents of the corresponding `substitution definitions`_ (which see for the definition of "correspond"). Substitution definitions produce inline-compatible elements. Examples:: This is a simple |substitution reference|. It will be replaced by the processing system. This is a combination |substitution and hyperlink reference|_. In addition to being replaced, the replacement text or element will refer to the "substitution and hyperlink reference" target. .. _standalone hyperlink: Standalone Hyperlinks --------------------- Doctree element: reference_. No start-string or end-string. A URI (absolute URI [#URI]_ or standalone email address) within a text block is treated as a general external hyperlink with the URI itself as the link's text. For example:: See https://www.python.org for info. would be marked up in HTML as:: See <a href="https://www.python.org">https://www.python.org</a> for info. Two forms of URI are recognized: 1. Absolute URIs. These consist of a scheme, a colon (":"), and a scheme-specific part whose interpretation depends on the scheme. The scheme is the name of the protocol, such as "http", "ftp", "mailto", or "telnet". The scheme consists of an initial letter, followed by letters, numbers, and/or "+", "-", ".". Recognition is limited to known schemes, per the `Official IANA Registry of URI Schemes`_ and the W3C's `Retired Index of WWW Addressing Schemes`_. The scheme-specific part of the resource identifier may be either hierarchical or opaque: - Hierarchical identifiers begin with one or two slashes and may use slashes to separate hierarchical components of the path. Examples are web pages and FTP sites:: https://www.python.org ftp://ftp.python.org/pub/python - Opaque identifiers do not begin with slashes. Examples are email addresses and newsgroups:: mailto:someone@somewhere.com news:comp.lang.python With queries, fragments, and %-escape sequences, URIs can become quite complicated. A reStructuredText parser must be able to recognize any absolute URI, as defined in RFC2396_ and RFC2732_. 2. Standalone email addresses, which are treated as if they were absolute URIs with a "mailto:" scheme. Example:: someone@somewhere.com Punctuation at the end of a URI is not considered part of the URI, unless the URI is terminated by a closing angle bracket (">"). Backslashes may be used in URIs to escape markup characters, specifically asterisks ("*") and underscores ("_") which are valid URI characters (see `Escaping Mechanism`_ above). .. [#URI] Uniform Resource Identifier. URIs are a general form of URLs (Uniform Resource Locators). For the syntax of URIs see RFC2396_ and RFC2732_. Units ===== (New in Docutils 0.3.10.) All measures consist of a positive floating point number in standard (non-scientific) notation and a unit, possibly separated by one or more spaces. Units are only supported where explicitly mentioned in the reference manuals. Length Units ------------ The following length units are supported by the reStructuredText parser: * em (em unit, the element's font size) * ex (ex unit, x-height of the element’s font) * mm (millimeters; 1 mm = 1/1000 m) * cm (centimeters; 1 cm = 10 mm) * in (inches; 1 in = 2.54 cm = 96 px) * px (pixels, 1 px = 1/96 in) [#]_ * pt (points; 1 pt = 1/72 in) * pc (picas; 1 pc = 1/6 in = 12 pt) This set corresponds to the `length units in CSS2`_ (a subset of `length units in CSS3`_). .. [#] In LaTeX, the default definition is 1 px = 1/72 in (cf. `How to configure the size of a pixel`_ in the LaTeX writer documentation). The following are all valid length values: "1.5em", "20 mm", ".5in". Length values without unit are completed with a writer-dependent default (e.g. "px" with HTML, "pt" with `latex2e`). See the writer specific documentation in the `user doc`__ for details. .. _length units in CSS2: https://www.w3.org/TR/CSS2/syndata.html#length-units .. _length units in CSS3: https://www.w3.org/TR/css-values-3/#absolute-lengths .. _How to configure the size of a pixel: ../../user/latex.html#size-of-a-pixel __ ../../user/ Percentage Units ---------------- Percentage values have a percent sign ("%") as unit. Percentage values are relative to other values, depending on the context in which they occur. ---------------- Error Handling ---------------- Doctree elements: system_message_, problematic_. Markup errors are handled according to the specification in `PEP 258`_. .. _reStructuredText: https://docutils.sourceforge.io/rst.html .. _Docutils: https://docutils.sourceforge.io/ .. _Docutils Generic DTD: ../docutils.dtd .. _transforms: https://docutils.sourceforge.io/docutils/transforms/ .. _Grouch: http://www.mems-exchange.org/software/grouch/ .. _RFC822: https://www.rfc-editor.org/rfc/rfc822.txt .. _DocTitle transform: .. _DocInfo transform: https://docutils.sourceforge.io/docutils/transforms/frontmatter.py .. _getopt.py: https://docs.python.org/3/library/getopt.html .. _GNU libc getopt_long(): https://www.gnu.org/software/libc/manual/html_node/Getopt-Long-Options.html .. _doctest module: https://docs.python.org/3/library/doctest.html .. _Emacs table mode: http://table.sourceforge.net/ .. _Official IANA Registry of URI Schemes: http://www.iana.org/assignments/uri-schemes .. _Retired Index of WWW Addressing Schemes: https://www.w3.org/Addressing/schemes.html .. _World Wide Web Consortium: https://www.w3.org/ .. _HTML Techniques for Web Content Accessibility Guidelines: https://www.w3.org/TR/WCAG10-HTML-TECHS/#link-text .. _RFC2396: https://www.rfc-editor.org/rfc/rfc2396.txt .. _RFC2732: https://www.rfc-editor.org/rfc/rfc2732.txt .. _Zope: http://www.zope.com/ .. _PEP 258: ../../peps/pep-0258.html .. _writers: ../../peps/pep-0258.html#writers .. _reStructuredText Directives: directives.html .. _admonition: directives.html#admonitions .. _code: directives.html#code .. _math: directives.html#math .. _raw: directives.html#raw .. _figure: directives.html#figure .. _image: directives.html#image .. _meta: directives.html#metadata .. _replace: directives.html#replace .. _role: directives.html#custom-interpreted-text-roles .. _table directive: directives.html#table .. _list table: directives.html#list-table .. _CSV table: directives.html#csv-table .. _custom roles: directives.html#role .. _reStructuredText Interpreted Text Roles: roles.html .. _"raw" role: roles.html#raw .. _Document Tree: .. _The Docutils Document Tree: ../doctree.html .. _"classes" attribute: ../doctree.html#classes .. _topic: ../doctree.html#topic .. _address: ../doctree.html#address .. _author: ../doctree.html#author .. _authors: ../doctree.html#authors .. _contact: ../doctree.html#contact .. _copyright: ../doctree.html#copyright .. _date: ../doctree.html#date .. _topic: ../doctree.html#topic .. _organization: ../doctree.html#organization .. _revision: ../doctree.html#revision .. _status: ../doctree.html#status .. _version: ../doctree.html#version .. _docinfo: ../doctree.html#docinfo .. _field: ../doctree.html#field .. _section: ../doctree.html#section .. _bullet_list: ../doctree.html#bullet-list .. _list_item: ../doctree.html#list-item .. _enumerated_list: ../doctree.html#enumerated-list .. _list_item: ../doctree.html#list-item .. _definition_list: ../doctree.html#definition-list .. _definition_list_item: ../doctree.html#definition-list-item .. _term: ../doctree.html#term .. _classifier: ../doctree.html#classifier .. _definition: ../doctree.html#definition .. _field_list: ../doctree.html#field-list .. _field_name: ../doctree.html#field-name .. _field_body: ../doctree.html#field-body .. _option_list: ../doctree.html#option-list .. _option_list_item: ../doctree.html#option-list-item .. _option_group: ../doctree.html#option-group .. _option: ../doctree.html#option .. _option_string: ../doctree.html#option-string .. _option_argument: ../doctree.html#option-argument .. _description: ../doctree.html#description .. _line_block: ../doctree.html#line-block .. _line: ../doctree.html#line .. _table: ../doctree.html#table .. _tgroup: ../doctree.html#tgroup .. _colspec: ../doctree.html#colspec .. _thead: ../doctree.html#thead .. _tbody: ../doctree.html#tbody .. _title: ../doctree.html#title .. _row: ../doctree.html#row .. _entry: ../doctree.html#entry .. _identifier key: ../doctree.html#identifier-keys .. _document element: ../doctree.html#document .. _footnote: ../doctree.html#footnote .. _label: ../doctree.html#label .. _citation: ../doctree.html#citation .. _target: ../doctree.html#target .. _footnote_reference: ../doctree.html#footnote-reference .. _citation_reference: ../doctree.html#citation-reference .. _transition: ../doctree.html#transition .. _paragraph: ../doctree.html#paragraph .. _literal_block: ../doctree.html#literal-block .. _block_quote: ../doctree.html#block-quote .. _attribution: ../doctree.html#attribution .. _doctest_block: ../doctree.html#doctest-block .. _substitution_definition: ../doctree.html#substitution-definition .. _comment: ../doctree.html#comment .. _strong: ../doctree.html#strong .. _literal: ../doctree.html#literal .. _reference: ../doctree.html#reference .. _substitution_reference: ../doctree.html#substitution-reference .. _reference: ../doctree.html#reference .. _reference: ../doctree.html#reference .. _system_message: ../doctree.html#system-message .. _problematic: ../doctree.html#problematic .. Local Variables: mode: indented-text indent-tabs-mode: nil sentence-end-double-space: t fill-column: 70 End: ������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/ref/rst/roles.txt����0000664�0000000�0000000�00000024642�15141625651�0033103�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������========================================= reStructuredText Interpreted Text Roles ========================================= :Author: David Goodger :Contact: docutils-develop@lists.sourceforge.net :Revision: $Revision$ :Date: $Date$ :Copyright: This document has been placed in the public domain. This document describes the interpreted text roles implemented in the reference reStructuredText parser. Interpreted text uses backquotes (`) around the text. An explicit role marker may optionally appear before or after the text, delimited with colons. For example:: This is `interpreted text` using the default role. This is :title:`interpreted text` using an explicit role. A default role may be defined by applications of reStructuredText; it is used if no explicit ``:role:`` prefix or suffix is given. The "default default role" is `:title-reference:`_. It can be changed using the default-role_ directive. See the `Interpreted Text`_ section in the `reStructuredText Markup Specification`_ for syntax details. For details on the hierarchy of elements, please see `The Docutils Document Tree`_ and the `Docutils Generic DTD`_ XML document type definition. For interpreted text role implementation details, see `Creating reStructuredText Interpreted Text Roles`_. .. _"role" directive: directives.html#role .. _default-role: directives.html#default-role .. _Interpreted Text: restructuredtext.html#interpreted-text .. _reStructuredText Markup Specification: restructuredtext.html .. _The Docutils Document Tree: ../doctree.html .. _Docutils Generic DTD: ../docutils.dtd .. _Creating reStructuredText Interpreted Text Roles: ../../howto/rst-roles.html .. contents:: --------------- Customization --------------- Custom interpreted text roles may be defined in a document with the `"role" directive`_. Customization details are listed with each role. .. _class: A ``class`` option is recognized by the "role" directive for most interpreted text roles. A description__ is provided in the `"role" directive`_ documentation. __ directives.html#role-class ---------------- Standard Roles ---------------- ``:emphasis:`` ============== :Aliases: None :DTD Element: emphasis :Customization: :Options: class_. :Content: None. Implements emphasis. These are equivalent:: *text* :emphasis:`text` ``:literal:`` ============== :Aliases: None :DTD Element: literal :Customization: :Options: class_. :Content: None. Implements inline literal text. These are equivalent:: ``text`` :literal:`text` Care must be taken with backslash-escapes though. These are *not* equivalent:: ``text \ and \ backslashes`` :literal:`text \ and \ backslashes` The backslashes in the first line are preserved (and do nothing), whereas the backslashes in the second line escape the following spaces. ``:code:`` ========== :Aliases: None :DTD Element: literal :Customization: :Options: class_, language :Content: None. (New in Docutils 0.9.) The ``code`` role marks its content as code in a formal language. For syntax highlight of inline code, the `"role" directive`_ can be used to build custom roles with the code language specified in the "language" option. For example, the following creates a LaTeX-specific "latex" role:: .. role:: latex(code) :language: latex Content of the new role is parsed and tagged by the Pygments_ syntax highlighter. See the `code directive`_ for more info on parsing and display of code in reStructuredText. In addition to "class_", the following option is recognized: ``language`` : text Name of the code's language. See `supported languages and markup formats`_ for recognized values. .. _code directive: directives.html#code .. _Pygments: https://pygments.org/ .. _supported languages and markup formats: https://pygments.org/languages/ ``:math:`` ========== :Aliases: None :DTD Element: math :Customization: :Options: class_ :Content: None. (New in Docutils 0.8.) The ``math`` role marks its content as mathematical notation (inline formula). The input format is LaTeX math syntax without the “math delimiters“ (``$ $``), for example:: The area of a circle is :math:`A_\text{c} = (\pi/4) d^2`. See the `math directive`_ (producing display formulas) for more info on mathematical notation in reStructuredText. .. _math directive: directives.html#math ``:pep-reference:`` =================== :Aliases: ``:PEP:`` :DTD Element: reference :Customization: :Options: class_. :Content: None. The ``:pep-reference:`` role is used to create an HTTP reference to a PEP (Python Enhancement Proposal). The ``:PEP:`` alias is usually used. The content must be a number, for example:: See :PEP:`287` for more information about reStructuredText. This is equivalent to:: See `PEP 287`__ for more information about reStructuredText. __ https://peps.python.org/pep-0287 ``:rfc-reference:`` =================== :Aliases: ``:RFC:`` :DTD Element: reference :Customization: :Options: class_. :Content: None. The ``:rfc-reference:`` role is used to create an HTTP reference to an RFC (Internet Request for Comments). The ``:RFC:`` alias is usually used. The content must be a number [#]_, for example:: See :RFC:`2822` for information about email headers. This is equivalent to:: See `RFC 2822`__ for information about email headers. __ https://tools.ietf.org/html/rfc2822.html .. [#] You can link to a specific section by saying ``:rfc:`number#anchor```. (New in Docutils 0.15.) .. Warning:: The anchor (anything following a ``#``) is appended to the reference without any checks and not shown in the link text. It is recommended to use `hyperlink references`_ for anything more complex than a single RFC number. .. _hyperlink references: restructuredtext.html#hyperlink-references ``:strong:`` ============ :Aliases: None :DTD Element: strong :Customization: :Options: class_. :Content: None. Implements strong emphasis. These are equivalent:: **text** :strong:`text` ``:subscript:`` =============== :Aliases: ``:sub:`` :DTD Element: subscript :Customization: :Options: class_. :Content: None. Implements subscripts. .. Tip:: Whitespace or punctuation is required around interpreted text, but often not desired with subscripts & superscripts. Backslash-escaped whitespace can be used; the whitespace will be removed from the processed document:: H\ :sub:`2`\ O E = mc\ :sup:`2` In such cases, readability of the plain text can be greatly improved with substitutions:: The chemical formula for pure water is |H2O|. .. |H2O| replace:: H\ :sub:`2`\ O See `the reStructuredText spec`__ for further information on `character-level markup`__ and `the substitution mechanism`__. __ restructuredtext.html __ restructuredtext.html#character-level-inline-markup __ restructuredtext.html#substitution-references ``:superscript:`` ================= :Aliases: ``:sup:`` :DTD Element: superscript :Customization: :Options: class_. :Content: None. Implements superscripts. See the tip in `:subscript:`_ above. ``:title-reference:`` ===================== :Aliases: ``:title:``, ``:t:``. :DTD Element: title_reference :Customization: :Options: class_. :Content: None. The ``:title-reference:`` role is used to describe the titles of books, periodicals, and other materials. It is the equivalent of the HTML "cite" element, and it is expected that HTML writers will typically render "title_reference" elements using "cite". Since title references are typically rendered with italics, they are often marked up using ``*emphasis*``, which is misleading and vague. The "title_reference" element provides accurate and unambiguous descriptive markup. Let's assume ``:title-reference:`` is the default interpreted text role (see below) for this example:: `Design Patterns` [GoF95]_ is an excellent read. The following document fragment (pseudo-XML_) will result from processing:: <paragraph> <title_reference> Design Patterns <citation_reference refname="gof95"> GoF95 is an excellent read. ``:title-reference:`` is the default interpreted text role in the standard reStructuredText parser. This means that no explicit role is required. Applications of reStructuredText may designate a different default role, in which case the explicit ``:title-reference:`` role must be used to obtain a ``title_reference`` element. .. _pseudo-XML: ../doctree.html#pseudo-xml ------------------- Specialized Roles ------------------- ``raw`` ======= :Aliases: None :DTD Element: raw :Customization: :Options: class_, format :Content: None .. WARNING:: The "raw" role is a stop-gap measure allowing the author to bypass reStructuredText's markup. It is a "power-user" feature that should not be overused or abused. The use of "raw" ties documents to specific output formats and makes them less portable. If you often need to use "raw"-derived interpreted text roles or the "raw" directive, that is a sign either of overuse/abuse or that functionality may be missing from reStructuredText. Please describe your situation in a message to the Docutils-users_ mailing list. .. _Docutils-users: ../../user/mailing-lists.html#docutils-user The "raw" role indicates non-reStructuredText data that is to be passed untouched to the Writer. It is the inline equivalent of the `"raw" directive`_; see its documentation for details on the semantics. .. _"raw" directive: directives.html#raw-directive The "raw" role cannot be used directly. The `"role" directive`_ must first be used to build custom roles based on the "raw" role. One or more formats (Writer names) must be provided in a "format" option. For example, the following creates an HTML-specific "raw-html" role:: .. role:: raw-html(raw) :format: html This role can now be used directly to pass data untouched to the HTML Writer. For example:: If there just *has* to be a line break here, :raw-html:`<br />` it can be accomplished with a "raw"-derived role. But the line block syntax should be considered first. .. Tip:: Roles based on "raw" should clearly indicate their origin, so they are not mistaken for reStructuredText markup. Using a "raw-" prefix for role names is recommended. In addition to "class_", the following option is recognized: ``format`` : text One or more space-separated output format names (Writer names). ����������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/user/����������������0000775�0000000�0000000�00000000000�15141625651�0030600�5����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/user/config.txt������0000664�0000000�0000000�00000175766�15141625651�0032634�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������======================== Docutils Configuration ======================== :Author: David Goodger :Contact: docutils-develop@lists.sourceforge.net :Revision: $Revision$ :Date: $Date$ :Copyright: This document has been placed in the public domain. .. sidebar:: Docutils Security for Web Applications For details about securing web applications, please see `Deploying Docutils Securely <../howto/security.html>`_. .. contents:: ------------------- Configuration Files ------------------- Configuration files are used for persistent customization; they can be set once and take effect every time you use a component, e.g., via a `front-end tool`_. Configuration file settings override the built-in defaults, and command-line options override all. For the technicalities, see `Docutils Runtime Settings`_. By default, Docutils checks the following places for configuration files, in the following order: 1. ``/etc/docutils.conf``: This is a system-wide configuration file, applicable to all Docutils processing on the system. 2. ``./docutils.conf``: This is a project-specific configuration file, located in the current directory. The Docutils front end has to be executed from the directory containing this configuration file for it to take effect (note that this may have nothing to do with the location of the source files). Settings in the project-specific configuration file will override corresponding settings in the system-wide file. 3. ``~/.docutils``: This is a user-specific configuration file, located in the user's home directory. Settings in this file will override corresponding settings in both the system-wide and project-specific configuration files. If more than one configuration file is found, all will be read but later entries will override earlier ones. For example, a "stylesheet" entry in a user-specific configuration file will override a "stylesheet" entry in the system-wide file. The default implicit config file paths can be overridden by the ``DOCUTILSCONFIG`` environment variable. ``DOCUTILSCONFIG`` should contain a colon-separated (semicolon-separated on Windows) sequence of config file paths to search for; leave it empty to disable implicit config files altogether. Tilde-expansion is performed on paths. Paths are interpreted relative to the current working directory. Empty path items are ignored. In addition, a configuration file may be explicitly specified with the ``--config`` command-line option. This configuration file is read after the three implicit ones listed above (or the ones defined by the ``DOCUTILSCONFIG`` environment variable), and its entries will have priority. .. _Docutils Runtime Settings: ../api/runtime-settings.html ------------------------- Configuration File Syntax ------------------------- Configuration files are UTF-8-encoded text files. The ConfigParser.py_ module from Python_'s standard library is used to read them. From its documentation: The configuration file consists of sections, lead by a "[section]" header and followed by "name: value" entries, with continuations in the style of `RFC 822`_; "name=value" is also accepted. Note that leading whitespace is removed from values. ... Lines beginning with "#" or ";" are ignored and may be used to provide comments. .. Note:: No format string interpolation is done. Configuration file entry names correspond to internal runtime settings. Underscores ("_") and hyphens ("-") can be used interchangeably in entry names; hyphens are automatically converted to underscores. For on/off switch settings (_`booleans`), the following values are recognized: :On: "true", "yes", "on", "1" :Off: "false", "no", "off", "0", "" (no value) .. _list: List values can be comma- or colon-delimited. strip_classes_, strip_elements_with_classes_, stylesheet, and stylesheet_path use the comma as delimiter, whitespace around list values is stripped. :: strip-classes: ham,eggs, strip-elements-with-classes: sugar, salt, flour stylesheet: html4css1.css, math.css, style with spaces.css stylesheet-path: ../styles/my.css, ../styles/funny.css expose_internals_, ignore_ and prune_ use the colon as delimiter and do not strip whitespace:: expose_internals: b:c:d Example ======= This is from the ``tools/docutils.conf`` configuration file supplied with Docutils:: # These entries affect all processing: [general] source-link: yes datestamp: %Y-%m-%d %H:%M UTC generator: on # These entries affect HTML output: [html writers] embed-stylesheet: no [html4css1 writer] stylesheet-path: docutils/writers/html4css1/html4css1.css field-name-limit: 20 [html5 writer] stylesheet-dirs: docutils/writers/html5_polyglot/ stylesheet-path: minimal.css, responsive.css Individual configuration sections and settings are described in the following section. ------------------------------------- Configuration File Sections & Entries ------------------------------------- Below are the Docutils runtime settings, listed by config file section. **Any setting may be specified in any section, but only settings from active sections will be used.** Sections correspond to Docutils components (module name or alias; section names are always in lowercase letters). Each `Docutils application`_ uses a specific set of components; corresponding configuration file sections are applied when the application is used. Configuration sections are applied in general-to-specific order, as follows: 1. `[general]`_ 2. `[parsers]`_, parser dependencies, and the section specific to the Parser used ("[... parser]"). 3. `[readers]`_, reader dependencies, and the section specific to the Reader used ("[... reader]"). For example, `[pep reader]`_ depends on `[standalone reader]`_. 4. `[writers]`_, writer family ("[... writers]"; if applicable), writer dependencies, and the section specific to the writer used ("[... writer]"). For example, `[pep_html writer]`_ depends on `[html writers]`_ and `[html4css1 writer]`_. 5. `[applications]`_, application dependencies, and the section specific to the Application (front-end tool) in use ("[... application]"). Since any setting may be specified in any section, this ordering allows component- or application-specific overrides of earlier settings. For example, there may be Reader-specific overrides of general settings; Writer-specific overrides of Parser settings; Application-specific overrides of Writer settings; and so on. If multiple configuration files are applicable, the process is completed (all sections are applied in the order given) for each one before going on to the next. For example, a "[pep_html writer] stylesheet" setting in an earlier configuration file would be overridden by an "[html4css1 writer] stylesheet" setting in a later file. Some knowledge of Python_ is assumed for some attributes. .. _ConfigParser.py: https://docs.python.org/3/library/configparser.html .. _Python: https://www.python.org/ .. _RFC 822: https://www.rfc-editor.org/rfc/rfc822.txt .. _front-end tool: .. _Docutils application: tools.html [general] ========= Settings in the "[general]" section are always applied. auto_id_prefix -------------- Prefix prepended to all auto-generated `identifier keys` generated within the document, after id_prefix_. Ensure the value conforms to the restrictions on identifiers in the output format, as it is not subjected to the `identifier normalization`_. A trailing "%" is replaced with the tag name (new in Docutils 0.16). Default: "%" (changed in 0.18 from "id"). Option: ``--auto-id-prefix`` (hidden, intended mainly for programmatic use). .. _identifier normalization: ../ref/rst/directives.html#identifier-normalization datestamp --------- Include a time/datestamp in the document footer. Contains a format string for Python's `time.strftime()`__. Default: None. Options: ``--date, -d, --time, -t, --no-datestamp``. Configuration file entry examples:: # Equivalent to --date command-line option, results in # ISO 8601 extended format datestamp, e.g. "2001-12-21": datestamp: %Y-%m-%d # Equivalent to --time command-line option, results in # date/timestamp like "2001-12-21 18:43 UTC": datestamp: %Y-%m-%d %H:%M UTC # Disables datestamp; equivalent to --no-datestamp: datestamp: __ https://docs.python.org/3/library/time.html#time.strftime debug ----- Report debug-level system messages. Default: don't (None). Options: ``--debug, --no-debug``. dump_internals -------------- At the end of processing, write all internal attributes of the document (``document.__dict__``) to stderr. Default: don't (None). Option: ``--dump-internals`` (hidden, for development use only). dump_pseudo_xml --------------- At the end of processing, write the pseudo-XML representation of the document to stderr. Default: don't (None). Option: ``--dump-pseudo-xml`` (hidden, for development use only). dump_settings ------------- At the end of processing, write all Docutils settings to stderr. Default: don't (None). Option: ``--dump-settings`` (hidden, for development use only). dump_transforms --------------- At the end of processing, write a list of all transforms applied to the document to stderr. Default: don't (None). Option: ``--dump-transforms`` (hidden, for development use only). error_encoding -------------- The text encoding for error output. Default: "ascii". Options: ``--error-encoding, -e``. error_encoding_error_handler ---------------------------- The error handler for unencodable characters in error output. See output_encoding_error_handler_ for acceptable values. Default: "backslashreplace" Options: ``--error-encoding-error-handler, --error-encoding, -e``. exit_status_level ----------------- A system message level threshold; non-halting system messages at or above this level will produce a non-zero exit status at normal exit. Exit status is the maximum system message level plus 10 (11 for INFO, etc.). Default: disabled (5). Option: ``--exit-status``. expose_internals ---------------- List_ of internal attributes to expose as external attributes (with "internal:" namespace prefix). To specify multiple attributes in configuration files, use colons to separate names; on the command line, the option may be used more than once. Default: don't (None). Option: ``--expose-internal-attribute`` (hidden, for development use only). footnote_backlinks ------------------ Enable or disable backlinks from footnotes_ and citations_ to their references. Default: enabled (True). Options: ``--footnote-backlinks, --no-footnote-backlinks``. generator --------- Include a "Generated by Docutils" credit and link in the document footer. Default: off (None). Options: ``--generator, -g, --no-generator``. halt_level ---------- The threshold at or above which system messages are converted to exceptions, halting execution immediately. If `traceback`_ is set, the exception will propagate; otherwise, Docutils will exit. See also report_level_. Default: severe (4). Options: ``--halt, --strict``. id_prefix --------- Prefix prepended to all identifier keys generated within the document. Ensure the value conforms to the restrictions on identifiers in the output format, as it is not subjected to the `identifier normalization`_. See also auto_id_prefix_. Default: "" (empty). Option: ``--id-prefix`` (hidden, intended mainly for programmatic use). input_encoding -------------- The text encoding for input. Default: auto-detect (None). Options: ``--input-encoding, -i``. input_encoding_error_handler ---------------------------- The error handler for undecodable characters in the input. Acceptable values include: strict Raise an exception in case of an encoding error. replace Replace malformed data with the official Unicode replacement character, U+FFFD. ignore Ignore malformed data and continue without further notice. Acceptable values are the same as for the "error" parameter of Python's ``unicode`` function; other values may be defined in applications or in future versions of Python. Default: "strict". Options: ``--input-encoding-error-handler, --input-encoding, -i``. language_code ------------- Case-insensitive `language tag`_ as defined in `BCP 47`_. Sets the document language, also used for localized directive and role names as well as Docutils-generated text. A typical language identifier consists of a 2-letter language code from `ISO 639`_ (3-letter codes can be used if no 2-letter code exists). The language identifier can have an optional subtag, typically for variations based on country (from `ISO 3166`_ 2-letter country codes). Avoid subtags except where they add useful distinguishing information. Examples of language tags include "fr", "en-GB", "pt-br" (the same as "pt-BR"), and "de-1901" (German with pre-1996 spelling). The language of document parts can be specified with a "language-<language tag>" `class attribute`_, e.g. ``.. class:: language-el-polyton`` for a quote in polytonic Greek. Default: English ("en"). Options: ``--language, -l``. .. _class attribute: ../ref/doctree.html#classes output_encoding --------------- The text encoding for output. Default: "UTF-8". Options: ``--output-encoding, -o``. output_encoding_error_handler ----------------------------- The error handler for unencodable characters in the output. Acceptable values include: strict Raise an exception in case of an encoding error. replace Replace malformed data with a suitable replacement marker, such as "?". ignore Ignore malformed data and continue without further notice. xmlcharrefreplace Replace with the appropriate XML character reference, such as "``†``". backslashreplace Replace with backslash escape sequences, such as "``\u2020``". Acceptable values are the same as for the "error" parameter of Python's ``encode`` string method; other values may be defined in applications or in future versions of Python. Default: "strict". Options: ``--output-encoding-error-handler, --output-encoding, -o``. record_dependencies ------------------- Path to a file where Docutils will write a list of files that were required to generate the output, e.g. included files or embedded stylesheets [#dependencies]_. [#pwd]_ The format is one path per line with forward slashes as separator, the encoding is ``utf8``. Set to ``-`` in order to write dependencies to stdout. This option is particularly useful in conjunction with programs like ``make`` using ``Makefile`` rules like:: ham.html: ham.txt $(shell cat hamdeps.txt) rst2html.py --record-dependencies=hamdeps.txt ham.txt ham.html If the filesystem encoding differs from utf8, replace the ``cat`` command with a call to a converter, e.g.:: $(shell iconv -f utf8 -t latin1 hamdeps.txt) Default: None. Option: ``--record-dependencies``. .. [#dependencies] Images are only added to the dependency list if they are embedded into the output or the reStructuredText parser extracted image dimensions from the file. report_level ------------ Report system messages at or higher than <level>: 1 info 2 warning 3 error 4 severe 5 none See also halt_level_. Default: warning (2). Options: ``--report, -r, --verbose, -v, --quiet, -q``. sectnum_xform ------------- Enable or disable automatic section numbering by Docutils (docutils.transforms.parts.SectNum) associated with the `sectnum directive`_. If disabled, section numbers might be added to the output by the renderer (e.g. by LaTeX or via a CSS style definition). Default: enabled (True). Options: ``--section-numbering``, ``--no-section-numbering``. .. _sectnum directive: ../ref/rst/directives.html#sectnum source_link ----------- Include a "View document source" link in the document footer. URL will be relative to the destination. Default: don't (None). Options: ``--source-link, -s, --no-source-link``. source_url ---------- An explicit URL for a "View document source" link, used verbatim. Default: compute if source_link (None). Options: ``--source-url, --no-source-link``. strict_visitor -------------- When processing a document tree with the Visitor pattern, raise an error if a writer does not support a node type listed as optional. For transitional development use. Default: disabled (None). Option: ``--strict-visitor`` (hidden, for development use only). strip_classes ------------- Comma-separated list_ of "classes" attribute values to remove from all elements in the document tree. The command line option may be used more than once. .. WARNING:: Potentially dangerous; use with caution. Default: disabled (None). Option: ``--strip-class``. strip_comments -------------- Enable the removal of comment elements from the document tree. Default: disabled (None). Options: ``--strip-comments``, ``--leave-comments``. strip_elements_with_classes --------------------------- Comma-separated list_ of "classes" attribute values; matching elements are removed from the document tree. The command line option may be used more than once. .. WARNING:: Potentially dangerous; use with caution. Default: disabled (None). Option: ``--strip-element-with-class``. title ----- The `document title` as metadata which does not become part of the document body. Stored as the document's `title attribute`_. For example, in HTML output the metadata document title appears in the title bar of the browser window. This setting overrides a displayed `document title`_ and is overridden by a `"title" directive`_. Default: none. Option: ``--title``. .. _title attribute: ../ref/doctree.html#title-attribute .. _document title: ../ref/rst/restructuredtext.html#document-title .. _"title" directive: ../ref/rst/directives.html#metadata-document-title toc_backlinks ------------- Enable backlinks from section titles to table of contents entries ("entry"), to the top of the TOC ("top"), or disable ("none"). Default: "entry". Options: ``--toc-entry-backlinks, --toc-top-backlinks, --no-toc-backlinks``. traceback --------- Enable Python tracebacks when halt-level system messages and other exceptions occur. Useful for debugging, and essential for issue reports. Exceptions are allowed to propagate, instead of being caught and reported (in a user-friendly way) by Docutils. Default: disabled (None) unless Docutils is run programmatically using the `Publisher Interface`_. Options: ``--traceback, --no-traceback``. .. _Publisher Interface: ../api/publisher.html warning_stream -------------- Path to a file for the output of system messages (warnings). [#pwd]_ Default: stderr (None). Option: ``--warnings``. [parsers] ========= Generic parser options: file_insertion_enabled ---------------------- Enable or disable directives or directive that insert the contents of external files, such as "include_" or "raw_" with option "url". A "warning" system message (including the directive text) is inserted instead. (See also raw_enabled_ for another security-relevant setting.) Default: enabled (True). Options: ``--file-insertion-enabled, --no-file-insertion``. .. _include: ../ref/rst/directives.html#include .. _raw: ../ref/rst/directives.html#raw line_length_limit ----------------- Maximal number of characters in an input line or `substitution`_ definition. To prevent extraordinary high processing times or memory usage for certain input constructs, a "warning" system message is inserted instead. Default: 10 000. Option: ``--line-length-limit`` New in Docutils 0.17. .. _substitution: ../ref/rst/directives.html#substitution raw_enabled ----------- Enable or disable the "raw_" directive. A "warning" system message (including the directive text) is inserted instead. See also file_insertion_enabled_ for another security-relevant setting. Default: enabled (True). Options: ``--raw-enabled, --no-raw``. [restructuredtext parser] ------------------------- character_level_inline_markup ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Relax the `inline markup recognition rules`_ requiring whitespace or punctuation around inline markup. Allows character level inline markup without escaped whithespace and is especially suited for languages that do not use whitespace to separate words (e.g. Japanese, Chinese). .. WARNING:: Potentially dangerous; use with caution. When changing this setting to "True", inline markup characters in URLs, names and formulas must be escaped to prevent recognition and possible errors. Examples:: http://rST_for_all.html (hyperlinks to rST_ and for_) x_2, inline_markup (hyperlinks to x_ and inline_) 2*x (starts emphasised text) a|b (starts a substitution reference) Default: disabled (False). Options: ``--character-level-inline-markup, --word-level-inline-markup``. New in Docutils 0.13. pep_references ~~~~~~~~~~~~~~ Recognize and link to standalone PEP references (like "PEP 258"). Default: disabled (None); enabled (True) in PEP Reader. Option: ``--pep-references``. pep_base_url ~~~~~~~~~~~~ Base URL for PEP references. Default: "https://peps.python.org/". Option: ``--pep-base-url``. pep_file_url_template ~~~~~~~~~~~~~~~~~~~~~ Template for PEP file part of URL, interpolated with the PEP number and appended to pep_base_url_. Default: "pep-%04d". Option: ``--pep-file-url``. rfc_references ~~~~~~~~~~~~~~ Recognize and link to standalone RFC references (like "RFC 822"). Default: disabled (None); enabled (True) in PEP Reader. Option: ``--rfc-references``. rfc_base_url ~~~~~~~~~~~~ Base URL for RFC references. Default: "http://www.faqs.org/rfcs/". Option: ``--rfc-base-url``. smart_quotes ~~~~~~~~~~~~ Activate the SmartQuotes_ transform to change straight quotation marks to typographic form. `Quote characters`_ are selected according to the language of the current block element (see language_code_, smartquotes_locales_, and the `pre-defined quote sets`__). Also changes consecutive runs of hyphen-minus and full stops (``---``, ``--``, ``...``) to em-dash, en-dash, and ellipsis Unicode characters respectively. Supported values: booleans_ (yes/no) Use smart quotes? alt (or "alternative") Use alternative quote set (if defined for the language). Default: "no". Option: ``--smart-quotes``. New in Docutils 0.10. .. _SmartQuotes: smartquotes.html __ smartquotes.html#localization .. _quote characters: https://en.wikipedia.org/wiki/Non-English_usage_of_quotation_marks smartquotes_locales ~~~~~~~~~~~~~~~~~~~ Typographical quotes used by the SmartQuotes_ transform. A comma-separated list_ with language tag and a set of four quotes (primary open/close, secondary open/close)smartquotes_locales. (If more than one character shall be used for a quote (e.g. padding in French quotes), a colon-separated list may be used.) Example: Ensure a correct leading apostrophe in ``'s Gravenhage`` in Dutch (at the cost of incorrect opening single quotes) and set French quotes to double and single guillemets with inner padding:: smartquote-locales: nl: „â€â€™â€™, fr: « : »:‹ : › Default: None. Option: ``--smartquotes-locales``. New in Docutils 0.14. syntax_highlight ~~~~~~~~~~~~~~~~ Token type names used by Pygments_ when parsing contents of the code_ directive and role. Supported values: long Use hierarchy of long token type names. short Use short token type names. (For use with `Pygments-generated stylesheets`_.) none No code parsing. Use this to avoid the "Pygments not found" warning when Pygments is not installed. Default: "long". Option: ``--syntax-highlight``. New in Docutils 0.9. .. _Pygments: https://pygments.org/ .. _code: ../ref/rst/directives.html#code .. _Pygments-generated stylesheets: https://pygments.org/docs/cmdline/#generating-styles tab_width ~~~~~~~~~ Number of spaces for hard tab expansion. Default: 8. Option: ``--tab-width``. trim_footnote_reference_space ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Remove spaces before `footnote references`_? Default: None [#]_ Options: ``--trim-footnote-reference-space, --leave-footnote-reference-space``. .. [#] Depending on the writer-specific `footnote_references setting`_. The footnote space is trimmed if the reference style is "superscript", and it is left if the reference style is "brackets". .. _myst: [myst parser] ------------- Provided by the 3rd party package `myst-docutils`_. See `MyST with Docutils`_ and its `Sphinx configuration options`_ (some settings are not available with Docutils). .. _myst-docutils: https://pypi.org/project/myst-docutils/ .. _MyST with Docutils: https://myst-parser.readthedocs.io/en/latest/docutils.html .. _Sphinx configuration options: https://myst-parser.readthedocs.io/en/latest/sphinx/reference.html#sphinx-config-options .. _pycmark: [pycmark parser] ---------------- Provided by the 3rd party package `pycmark`__. Currently no configuration settings. __ https://pypi.org/project/pycmark/ .. _recommonmark: [recommonmark parser] --------------------- Provisional, depends on (deprecated) 3rd-party package recommonmark__. Currently no configuration settings. __ https://pypi.org/project/recommonmark/ [readers] ========= [standalone reader] ------------------- docinfo_xform ~~~~~~~~~~~~~ Enable or disable the `bibliographic field list`_ transform (docutils.transforms.frontmatter.DocInfo). Default: enabled (True). Options: ``--no-doc-info``. doctitle_xform ~~~~~~~~~~~~~~ Enable or disable the promotion of a lone top-level section title to `document title`_ (and subsequent section title to document subtitle promotion; docutils.transforms.frontmatter.DocTitle). Default: enabled (True). Options: ``--no-doc-title``. sectsubtitle_xform ~~~~~~~~~~~~~~~~~~ Enable or disable the promotion of the title of a lone subsection to a subtitle (docutils.transforms.frontmatter.SectSubTitle). Default: disabled (False). Options: ``--section-subtitles, --no-section-subtitles``. [pep reader] ------------ The `pep_references`_ and `rfc_references`_ settings (`[restructuredtext parser]`_) are set on by default. .. [python reader] --------------- Not implemented. [writers] ========= [docutils_xml writer] --------------------- .. Caution:: * The XML declaration carries text encoding information. If the encoding is not UTF-8 or ASCII and the XML declaration is missing, standard tools may be unable to read the generated XML. doctype_declaration ~~~~~~~~~~~~~~~~~~~ Generate XML with a DOCTYPE declaration. Default: do (True). Options: ``--no-doctype``. indents ~~~~~~~ Generate XML with indents and newlines. Default: don't (None). Options: ``--indents``. newlines ~~~~~~~~ Generate XML with newlines before and after tags. Default: don't (None). Options: ``--newlines``. .. _xml_declaration [docutils_xml writer]: xml_declaration ~~~~~~~~~~~~~~~ Generate XML with an XML declaration. See also `xml_declaration [html writers]`_. Default: do (True). Option: ``--no-xml-declaration``. [html writers] -------------- .. _attribution [html writers]: attribution ~~~~~~~~~~~ Format for `block quote`_ attributions: one of "dash" (em-dash prefix), "parentheses"/"parens", or "none". See also `attribution [latex writers]`_. Default: "dash". Option: ``--attribution``. cloak_email_addresses ~~~~~~~~~~~~~~~~~~~~~ Scramble email addresses to confuse harvesters. In the reference URI, the "@" will be replaced by %-escapes (as of RFC 1738). In the visible text (link text) of an email reference, the "@" and all periods (".") will be surrounded by ``<span>`` tags. Furthermore, HTML entities are used to encode these characters in order to further complicate decoding the email address. For example, "abc@example.org" will be output as:: <a class="reference" href="mailto:abc%40example.org"> abc<span>@</span>example<span>.</span>org</a> .. Note:: While cloaking email addresses will have little to no impact on the rendering and usability of email links in most browsers, some browsers (e.g. the ``links`` browser) may decode cloaked email addresses incorrectly. Default: don't cloak (None). Option: ``--cloak-email-addresses``. compact_lists ~~~~~~~~~~~~~ Remove extra vertical whitespace between items of `bullet lists`_ and `enumerated lists`_, when list items are all "simple" (i.e., items each contain one paragraph and/or one "simple" sub-list only). The behaviour can be specified directly via "class" attributes (values "compact" and "open") in the document. Default: enabled (True). Options: ``--compact-lists, --no-compact-lists``. compact_field_lists ~~~~~~~~~~~~~~~~~~~ Remove extra vertical whitespace between items of `field lists`_ that are "simple" (i.e., all field bodies each contain at most one paragraph). The behaviour can be specified directly via "class" attributes (values "compact" and "open") in the document. Default: enabled (True). Options: ``--compact-field-lists, --no-compact-field-lists``. .. _embed_stylesheet [html writers]: embed_stylesheet ~~~~~~~~~~~~~~~~ Embed the stylesheet in the output HTML file. The stylesheet file must specified by the stylesheet_path_ setting and must be accessible during processing. See also `embed_stylesheet [latex writers]`_. Default: enabled. Options: ``--embed-stylesheet, --link-stylesheet``. .. _footnote_references setting: .. _footnote_references [html writers]: footnote_references ~~~~~~~~~~~~~~~~~~~ Format for `footnote references`_, one of "superscript" or "brackets". See also `footnote_references [latex writers]`_. Overrides [#override]_ trim_footnote_reference_space_, if the parser supports this option. Default: "brackets". Option: ``--footnote-references``. initial_header_level ~~~~~~~~~~~~~~~~~~~~ The initial level for header elements. This does not affect the document title & subtitle; see doctitle_xform_. Default: writer dependent (see `[html4css1 writer]`_, `[html5 writer]`_, `[pep_html writer]`_). Option: ``--initial-header-level``. math_output ~~~~~~~~~~~ The format of mathematical content (`math directive`_ and role) in the output document. Supported values are (case insensitive): :HTML: Format math in standard HTML enhanced by CSS rules. Requires the ``math.css`` stylesheet (in the system `stylesheet directory <stylesheet_dirs [html writers]_>`__) A `stylesheet_path <stylesheet_path [html writers]_>`__ can be appended after whitespace. The specified stylesheet(s) will only be referenced or embedded if required (i.e. if there is mathematical content in the document). :MathJax: Format math for display with MathJax_, a JavaScript-based math rendering engine. Pro: Works across multiple browsers and platforms. Large set of `supported LaTeX math commands and constructs`__ __ http://docs.mathjax.org/en/latest/input/tex/macros/index.html Con: Rendering requires JavaScript and an Internet connection or local MathJax installation. A URL pointing to a MathJax library should be appended after whitespace. A warning is given if this is missing. * It is recommended to install__ the MathJax library on the same server as the rest of the deployed site files. __ https://www.mathjax.org/#installnow Example: Install the library at the top level of the web server’s hierarchy in the directory ``MathJax`` and set:: math-output: mathjax /MathJax/MathJax.js * The easiest way to use MathJax is to link directly to a public installation. In that case, there is no need to install MathJax locally. Downside: Downloads JavaScript code from a third-party site --- opens the door to cross-site scripting attacks! Example: MathJax `getting started`__ documentation uses:: math-output: mathjax https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js See https://www.jsdelivr.com/ for details and terms of use. __ https://www.mathjax.org/#gettingstarted * Use a local MathJax installation on the *client* machine, e.g.:: math-output: MathJax file:/usr/share/javascript/mathjax/MathJax.js This is the fallback if no URL is specified. :MathML: Embed math content as presentational MathML_. Pro: The W3C recommendation for math on the web. Self-contained documents (no JavaScript, no external downloads). Con: Limited `browser support`__. Docutil's latex2mathml converter supports only a `subset of LaTeX math syntax`__. With the "html4css1" writer, the resulting HTML document does not validate, as there is no DTD for `MathML + XHTML Transitional`. However, MathML-enabled browsers will render it fine. __ https://developer.mozilla.org/en-US/docs/Web/MathML #browser_compatibility __ ../ref/rst/mathematics.html An external converter can be appended after whitespace, e.g., ``--math-output="MathML latexml"``: blahtexml_ Fast conversion, support for many symbols and environments, but no "align" (or other equation-aligning) environment. (C++) LaTeXML_ Comprehensive macro support but *very* slow. (Perl) TtM_ No "matrix", "align" and "cases" environments. Support may be removed. :LaTeX: Include literal LaTeX code. The failsafe fallback. Default: HTML math.css. Option: ``--math-output``. New in Docutils 0.8. .. _math directive: ../ref/rst/directives.html#math .. _MathJax: http://www.mathjax.org/ .. _MathPlayer: http://www.dessci.com/en/products/mathplayer/ .. _MathML: https://www.w3.org/TR/MathML/ .. _blahtexml: http://gva.noekeon.org/blahtexml/ .. _LaTeXML: http://dlmf.nist.gov/LaTeXML/ .. _TtM: http://hutchinson.belmont.ma.us/tth/mml/ .. _stylesheet [html writers]: stylesheet ~~~~~~~~~~ A comma-separated list of CSS stylesheet URLs, used verbatim. See also `stylesheet [latex writers]`_. Overrides also stylesheet_path_. [#override]_ Default: None. Option: ``--stylesheet``. .. _stylesheet_dirs [html writers]: stylesheet_dirs ~~~~~~~~~~~~~~~ A comma-separated list of directories where stylesheets can be found. Used by the stylesheet_path_ setting when expanding relative path arguments. Note: This setting defines a "search path" (similar to the PATH variable for executables). However, the term "path" is already used in the stylesheet_path_ setting with the meaning of a file location. Default: the working directory of the process at launch and the directory with default stylesheet files (writer and installation specific). Use the ``--help`` option to get the exact value. Option: ``--stylesheet-dirs``. .. _stylesheet_path: .. _stylesheet_path [html writers]: stylesheet_path ~~~~~~~~~~~~~~~ A comma-separated list of paths to CSS stylesheets. Relative paths are expanded if a matching file is found in the stylesheet_dirs__. If embed_stylesheet__ is False, paths are rewritten relative to the output HTML file. See also `stylesheet_path [latex writers]`_. Also overrides "stylesheet". [#override]_ Pass an empty string (to either "stylesheet" or "stylesheet_path") to deactivate stylesheet inclusion. Default: writer dependent (see `[html4css1 writer]`_, `[html5 writer]`_, `[pep_html writer]`_). Option: ``--stylesheet-path``. __ `embed_stylesheet [html writers]`_ __ `stylesheet_dirs [html writers]`_ .. _table_style [html writers]: table_style ~~~~~~~~~~~ Class value(s) added to all tables_. See also `table_style [latex writers]`_. The default CSS sylesheets define: borderless No borders around the table. align-left, align-center, align-right Align the tables The HTML5 stylesheets also define: booktabs Only lines above and below the table and a thin line after the head. captionbelow Place the table caption below the table (New in Docutils 0.17). In addition, the HTML writers support: colwidths-auto Delegate the determination of table column widths to the back-end (leave out the ``<colgroup>`` column specification). Overridden by the "widths" option of the `table directive`_. colwidths-grid Backwards compatibility setting. Write column widths determined from the source to the HTML file. Overridden by the "widths" option of the `table directive`_. Default: "". Option: ``--table-style``. .. _table directive: ../ref/rst/directives.html#table .. _template [html writers]: template ~~~~~~~~ Path to template file, which must be encoded in UTF-8. [#pwd]_ See also `template [latex writers]`_. Default: "template.txt" in the writer's directory (installed automatically; for the exact machine-specific path, use the ``--help`` option). Option: ``--template``. .. _xml_declaration [html writers]: xml_declaration ~~~~~~~~~~~~~~~ Prepend an XML declaration. See also `xml_declaration [docutils_xml writer]`_. .. Caution:: The XML declaration carries text encoding information. If the encoding is not UTF-8 or ASCII and the XML declaration is missing, standard XML tools may be unable to read the generated XHTML. Default: writer dependent. Options: ``--xml-declaration``, ``--no-xml-declaration``. [html4css1 writer] ~~~~~~~~~~~~~~~~~~ The `HTML4/CSS1 Writer`_ generates output that conforms to the `XHTML 1 Transitional`_ specification. It shares all settings defined in the `[html writers]`_ `configuration section`_. Writer Specific Defaults """""""""""""""""""""""" `initial_header_level`_ 1 (for "<h1>") `stylesheet_path <stylesheet_path [html writers]_>`__: "html4css1.css" `xml_declaration <xml_declaration [html writers]_>`__ enabled (True) .. _HTML4/CSS1 Writer: html.html#html4css1 .. _XHTML 1 Transitional: https://www.w3.org/TR/xhtml1/ field_name_limit """""""""""""""" The maximum width (in characters) for one-column `field names`_. Longer field names will span an entire row of the table used to render the field list. 0 indicates "no limit". See also option_limit_. Default: 14 (i.e. 14 characters). Option: ``--field-name-limit``. option_limit """""""""""" The maximum width (in characters) for options in `option lists`_. Longer options will span an entire row of the table used to render the option list. 0 indicates "no limit". See also field_name_limit_. Default: 14 (i.e. 14 characters). Option: ``--option-limit``. [html5 writer] ~~~~~~~~~~~~~~ The `HTML5 Writer`_ generates valid XML that is compatible with `HTML5`_. It shares all settings defined in the `[html writers]`_ `configuration section`_. New in Docutils 0.13. .. _HTML5 Writer: html.html#html5-polyglot .. _HTML5: https://www.w3.org/TR/2014/REC-html5-20141028/ Writer Specific Defaults """""""""""""""""""""""" `initial_header_level`_ 2 (for "<h2>", cf. the "`The h1, h2, h3, h4, h5, and h6 elements`__" in the HTML Standard) `stylesheet_path <stylesheet_path [html writers]_>`__: "minimal.css, plain.css" __ https://html.spec.whatwg.org/multipage/sections.html #the-h1,-h2,-h3,-h4,-h5,-and-h6-elements embed_images """""""""""" Deprecated. Obsoleted by image_loading_. image_loading """"""""""""" Suggest at which point images should be loaded. :embed: If the image can be read from the local file system, the image data is embedded into the HTML document. :link: Link to image in the HTML document (default). :lazy: Link to image. Specify the `lazy loading attribute`_ to defer fetching the image. Default: "link". Option: ``--image-loading``. New in Docutils 0.18. .. _base64: https://en.wikipedia.org/wiki/Base64 .. _data URI: https://en.wikipedia.org/wiki/Data_URI_scheme .. _lazy loading attribute: https://html.spec.whatwg.org/multipage/ urls-and-fetching.html#lazy-loading-attributes section_self_link """"""""""""""""" Append an empty anchor element with a ``href`` to the section to section headings. See ``responsive.css`` for an example how this can be styled to show a symbol allowing users to copy the section's URL. Default: disabled (False). Options: ``--section-self-link``, ``--no-section-self-link``. New in Docutils 0.18. [pep_html writer] ~~~~~~~~~~~~~~~~~ The PEP/HTML Writer derives from the HTML4/CSS1 Writer, and shares all settings defined in the `[html writers]`_ and `[html4css1 writer]`_ `configuration sections`_. Writer Specific Defaults """""""""""""""""""""""" `initial_header_level`_ 1 (for "<h1>") `stylesheet_path <stylesheet_path [html writers]_>`__: "pep.css" `template <template [html writers]_>`__: ``docutils/writers/pep_html/template.txt`` in the installation directory. For the exact machine-specific path, use the ``--help`` option. no_random """"""""" Do not use a random banner image. Mainly used to get predictable results when testing. Default: random enabled (None). Options: ``--no-random`` (hidden). pep_home """""""" Home URL prefix for PEPs. Default: current directory ("."). Option: ``--pep-home``. python_home """"""""""" Python's home URL. Default: parent directory (".."). Option: ``--python-home``. [s5_html writer] ~~~~~~~~~~~~~~~~ The S5/HTML Writer derives from the HTML4/CSS1 Writer, and shares all settings defined in the `[html writers]`_ and `[html4css1 writer]`_ `configuration sections`_. Writer Specific Defaults """""""""""""""""""""""" compact_lists_: disable compact lists. template__: ``docutils/writers/s5_html/template.txt`` in the installation directory. For the exact machine-specific path, use the ``--help`` option. __ `template [html writers]`_ hidden_controls """"""""""""""" Auto-hide the presentation controls in slideshow mode, or or keep them visible at all times. Default: auto-hide (True). Options: ``--hidden-controls``, ``--visible-controls``. current_slide """"""""""""" Enable or disable the current slide indicator ("1/15"). Default: disabled (None). Options: ``--current-slide``, ``--no-current-slide``. overwrite_theme_files """"""""""""""""""""" Allow or prevent the overwriting of existing theme files in the ``ui/<theme>`` directory. This has no effect if "theme_url_" is used. Default: keep existing theme files (None). Options: ``--keep-theme-files``, ``--overwrite-theme-files``. theme """"" Name of an installed S5 theme, to be copied into a ``ui/<theme>`` subdirectory, beside the destination file (output HTML). Note that existing theme files will not be overwritten; the existing theme directory must be deleted manually. Also overrides the "theme_url_" setting. [#override]_ Default: "default". Option: ``--theme``. theme_url """"""""" The URL of an S5 theme directory. The destination file (output HTML) will link to this theme; nothing will be copied. Also overrides the "theme_" setting. [#override]_ Default: None. Option: ``--theme-url``. view_mode """"""""" The initial view mode, either "slideshow" or "outline". Default: "slidewhow". Option: ``--view-mode``. .. ------------------------------------------------------------ [latex writers] ---------------- Common settings for the `LaTeX writers`_ `[latex2e writer]`_ and `[xetex writer]`_. .. _LaTeX writers: latex.html .. _attribution [latex writers]: attribution ~~~~~~~~~~~ See `attribution [html writers]`_. compound_enumerators ~~~~~~~~~~~~~~~~~~~~ Enable or disable compound enumerators for nested `enumerated lists`_ (e.g. "1.2.a.ii"). Default: disabled (None). Options: ``--compound-enumerators``, ``--no-compound-enumerators``. documentclass ~~~~~~~~~~~~~ Specify LaTeX documentclass. Default: "article". Option: ``--documentclass``. documentoptions ~~~~~~~~~~~~~~~ Specify document options. Multiple options can be given, separated by commas. Default: "a4paper". Option: ``--documentoptions``. docutils_footnotes ~~~~~~~~~~~~~~~~~~ Use the Docutils-specific macros ``\DUfootnote`` and ``\DUfootnotetext`` for footnotes_. TODO: The alternative, "use_latex_footnotes" is not implemented yet. Default: on. Option: ``--docutils-footnotes``. .. _embed_stylesheet [latex writers]: embed_stylesheet ~~~~~~~~~~~~~~~~ Embed the stylesheet(s) in the header of the output file. The stylesheets must be accessible during processing. Currently, this fails if the file is not available via the given path (i.e. the file is *not* searched in the `TeX input path`_). See also `embed_stylesheet [html writers]`_. Default: off. Options: ``--embed-stylesheet, --link-stylesheet``. .. _footnote_references [latex writers]: footnote_references ~~~~~~~~~~~~~~~~~~~ Format for `footnote references`_: one of "superscript" or "brackets". See also `footnote_references [html writers]`_. Overrides [#override]_ trim_footnote_reference_space_, if the parser supports this option. Default: "superscript". Option: ``--footnote-references``. graphicx_option ~~~~~~~~~~~~~~~ LaTeX graphicx package option. Possible values are "dvips", "pdftex", "dvipdfmx". Default: "". Option: ``--graphicx-option``. hyperlink_color ~~~~~~~~~~~~~~~ Color of any hyperlinks embedded in text. * "0" or "false" disable coloring of links. (Links will be marked by red boxes that are not printed), * "black" results in “invisible“ links, Set hyperref_options_ to "draft" to completely disable hyperlinking. Default: "blue". Option: ``--hyperlink-color``. hyperref_options ~~~~~~~~~~~~~~~~ Options for the `hyperref TeX package`_. If hyperlink_color_ is not "false", the expansion of :: 'colorlinks=true,linkcolor=%s,urlcolor=%s' % ( hyperlink_color, self.hyperlink_color is prepended. Default: "". Option: ``--hyperref-options``. .. _hyperref TeX package: http://tug.org/applications/hyperref/ latex_preamble ~~~~~~~~~~~~~~ LaTeX code that will be inserted in the document preamble. Can be used to load packages with options or (re-) define LaTeX macros without writing a custom style file (new in Docutils 0.7). Default: writer dependent (see `[latex2e writer]`_, `[xetex writer]`_). Option: ``--latex-preamble``. legacy_class_functions ~~~~~~~~~~~~~~~~~~~~~~ Use legacy functions ``\DUtitle`` and ``\DUadmonition`` with a comma-separated list of class values as optional argument. If `False`, class values are handled with wrappers and admonitions use the ``DUadmonition`` environment. See `Generating LaTeX with Docutils`__ for details. Default: False (changed in Docutils 0.18). Options: ``--legacy-class-functions``, ``--new-class-functions``. New in Docutils 0.17. __ latex.html#classes legacy_column_widths ~~~~~~~~~~~~~~~~~~~~ Use "legacy algorithm" or new algorithm to determine table column widths. The new algorithm limits the table width to the text width or specified table width and keeps the ratio of specified column widths. Custom table and/or column widths can be set with the respective options of the `table directive`_. See also `Generating LaTeX with Docutils`__. Default: True (will change to False in 0.19). Options: ``--legacy-column-widths``, ``--new-column-widths``. New in Docutils 0.18. __ latex.html#table-style literal_block_env ~~~~~~~~~~~~~~~~~ When possible\ [#]_, use the specified environment for `literal blocks`_. Default: "" (quoting of whitespace and special chars). Option: ``--literal-block-env``. .. [#] A literal-block element may originate from a `parsed literal`_. A LaTeX verbatim environment is only usable it does not contain inline elements. .. _parsed literal: ../ref/rst/directives.html#parsed-literal reference_label ~~~~~~~~~~~~~~~ Per default the latex-writer puts the reference title into hyper references. Specify "ref*" or "pageref*" to get the section number or the page number. Default: "" (use hyper references). Option: ``--reference-label``. section_enumerator_separator ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The separator between section number prefix and enumerator for compound enumerated lists (see `compound_enumerators`_). Generally it isn't recommended to use both sub-sections and nested enumerated lists with compound enumerators. This setting avoids ambiguity in the situation where a section "1" has a list item enumerated "1.1", and subsection "1.1" has list item "1". With a separator of ".", these both would translate into a final compound enumerator of "1.1.1". With a separator of "-", we get the unambiguous "1-1.1" and "1.1-1". Default: "-". Option: ``--section-enumerator-separator``. section_prefix_for_enumerators ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Enable or disable section ("." subsection ...) prefixes for compound enumerators. This has no effect unless `compound_enumerators`_ are enabled. Default: disabled (None). Options: ``--section-prefix-for-enumerators``, ``--no-section-prefix-for-enumerators``. .. _stylesheet [latex writers]: stylesheet ~~~~~~~~~~ A comma-separated list_ of style files. See also `stylesheet [html writers]`_. Overrides also stylesheet_path__. [#override]_ If `embed_stylesheet`__ is False (default), the stylesheet files are referenced with ``\usepackage`` (extension ``.sty`` or no extension) or ``\input`` (any other extension). LaTeX will search the specified files in the `TeX input path`_. Default: no stylesheet (""). Option: ``--stylesheet``. __ `stylesheet_path [latex writers]`_ __ `embed_stylesheet [latex writers]`_ .. _TeX input path: http://www.tex.ac.uk/cgi-bin/texfaq2html?label=what-TDS .. _stylesheet_dirs [latex writers]: stylesheet_dirs ~~~~~~~~~~~~~~~ A comma-separated list of directories where stylesheets can be found. Used by the stylesheet_path__ setting. Note: This setting defines a "search path" (similar to the PATH variable for executables). However, the term "path" is already used in the stylesheet_path__ setting with the meaning of a file location. __ __ `stylesheet_path [latex writers]`_ Default: the working directory of the process at launch and the directory with default stylesheet files (writer and installation specific). Use the ``--help`` option to get the exact value. Option: ``--stylesheet-dirs``. .. _stylesheet_path [latex writers]: stylesheet_path ~~~~~~~~~~~~~~~ A comma-separated list of style files. Relative paths are expanded if a matching file is found in the stylesheet_dirs__. If embed_stylesheet__ is False, paths are rewritten relative to the output file path. Run ``latex`` from the directory containing the output file. See also `stylesheet_path [html writers]`_. The stylesheet__ option is preferred for files in the `TeX input path`_. Also overrides stylesheet__. [#override]_ Default: no stylesheet (""). Option: ``--stylesheet-path``. __ `stylesheet_dirs [latex writers]`_ __ `embed_stylesheet [latex writers]`_ __ __ `stylesheet [latex writers]`_ .. _table_style [latex writers]: table_style ~~~~~~~~~~~ Specify the default style for tables_. See also `table_style [html writers]`_. Supported values: "booktabs", "borderless", "colwidths-auto", and "standard". See `Generating LaTeX with Docutils`__ for details. Default: "standard". Option: ``--table-style``. __ latex.html#tables .. _template [latex writers]: template ~~~~~~~~ Path [#pwd]_ to template file, which must be encoded in UTF-8. See also `template [html writers]`_. Default: writer dependent (see `[latex2e writer]`_, `[xetex writer]`_). Option: ``--template``. use_bibtex ~~~~~~~~~~ Specify style and database for the experimental `BibTeX` support, for example:: --use-bibtex=mystyle,mydb1,mydb2 Default: "" (don't use BibTeX). Option ``--use-bibtex``. use_latex_abstract ~~~~~~~~~~~~~~~~~~ Use LaTeX abstract environment for the document's abstract_. Default: off. Options: ``--use-latex-abstract, --topic-abstract``. use_latex_citations ~~~~~~~~~~~~~~~~~~~ Use \cite for citations_ instead of a simulation with figure-floats. Default: off. Options: ``--use-latex-citations, --figure-citations``. use_latex_docinfo ~~~~~~~~~~~~~~~~~ Attach author and date to the `document title`_ instead of the `bibliographic fields`_. Default: off. Options: ``--use-latex-docinfo, --use-docutils-docinfo``. use_latex_toc ~~~~~~~~~~~~~ To get page numbers in the `table of contents`_, it must be generated by LaTeX. Usually latex must be run twice to get numbers correct. Default: on. Options: ``--use-latex-toc, --use-docutils-toc``. use_part_section ~~~~~~~~~~~~~~~~ Add parts on top of the section hierarchy. Default: don't (None). Option: ``--use-part-section``. [latex2e writer] ~~~~~~~~~~~~~~~~ The `LaTeX2e writer`_ generates a LaTeX source for compilation with 8-bit LaTeX (pdfTeX_). It shares all settings defined in the `[latex writers]`_ `configuration section`_. .. _LaTeX2e writer: latex.html#latex2e-writer .. _pdfTeX: https://www.tug.org/applications/pdftex/ .. _configuration section: `Configuration File Sections & Entries`_ Writer Specific Defaults """""""""""""""""""""""" latex_preamble_ Load the "PDF standard fonts" (Times, Helvetica, Courier):: \usepackage{mathptmx} % Times \usepackage[scaled=.90]{helvet} \usepackage{courier} template__ "default.tex" in the ``docutils/writers/latex2e/`` directory (installed automatically). __ `template [latex writers]`_ font_encoding """"""""""""" Specify `LaTeX font encoding`_. Multiple options can be given, separated by commas. The last value becomes the document default. Possible values are "", "T1", "OT1", "LGR,T1" or any other combination of `LaTeX font encodings`_. Default: "T1". Option: ``--font-encoding``. .. _LaTeX font encoding: latex.html#font-encoding .. _LaTeX font encodings: http://mirror.ctan.org/macros/latex/doc/encguide.pdf [xetex writer] ~~~~~~~~~~~~~~ The `XeTeX writer`_ generates a LaTeX source for compilation with `XeTeX or LuaTeX`_. It derives from the latex2e writer, and shares all settings defined in the `[latex writers]`_ and `[latex2e writer]`_ `configuration sections`_. .. _XeTeX writer: latex.html#xetex-writer .. _XeTeX or LuaTeX: https://texfaq.org/FAQ-xetex-luatex .. _configuration sections: `Configuration File Sections & Entries`_ Writer Specific Defaults """""""""""""""""""""""" latex_preamble_: Font setup for `Linux Libertine`_,:: % Linux Libertine (free, wide coverage, not only for Linux) \setmainfont{Linux Libertine O} \setsansfont{Linux Biolinum O} \setmonofont[HyphenChar=None]{DejaVu Sans Mono} The optional argument ``HyphenChar=None`` to the monospace font prevents word hyphenation in literal text. .. _Linux Libertine: http://www.linuxlibertine.org/ template__: "xelatex.tex" in the ``docutils/writers/latex2e/`` directory (installed automatically). .. TODO: show full path with ``--help`` (like in the HTML writers) and add the following line: for the exact machine-specific path, use the ``--help`` option). __ `template [latex writers]`_ [odf_odt writer] ---------------- The following command line options are specific to ``odtwriter``: stylesheet ~~~~~~~~~~ Specify a stylesheet URL, used verbatim. Default: writers/odf_odt/styles.odt in the installation directory. odf-config-file ~~~~~~~~~~~~~~~ Specify a configuration/mapping file relative to the current working directory for additional ODF options. In particular, this file may contain a section named "Formats" that maps default style names to names to be used in the resulting output file allowing for adhering to external standards. For more info and the format of the configuration/mapping file, see the `Odt Writer for Docutils`_ document. cloak-email-addresses ~~~~~~~~~~~~~~~~~~~~~ Obfuscate email addresses to confuse harvesters while still keeping email links usable with standards-compliant browsers. no-cloak-email-addresses ~~~~~~~~~~~~~~~~~~~~~~~~ Do not obfuscate email addresses. table-border-thickness ~~~~~~~~~~~~~~~~~~~~~~ Specify the thickness of table borders in thousands of a cm. Default is 35. add-syntax-highlighting ~~~~~~~~~~~~~~~~~~~~~~~ Add syntax highlighting in literal code blocks. no-syntax-highlighting ~~~~~~~~~~~~~~~~~~~~~~ Do not add syntax highlighting in literal code blocks. (default) create-sections ~~~~~~~~~~~~~~~ Create sections for headers. (default) no-sections ~~~~~~~~~~~ Do not create sections for headers. create-links ~~~~~~~~~~~~ Create links. no-links ~~~~~~~~ Do not create links. (default) endnotes-end-doc ~~~~~~~~~~~~~~~~ Generate endnotes at end of document, not footnotes at bottom of page. no-endnotes-end-doc ~~~~~~~~~~~~~~~~~~~ Generate footnotes at bottom of page, not endnotes at end of document. (default) generate-list-toc ~~~~~~~~~~~~~~~~~ Generate a bullet list table of contents, not an ODF/``oowriter`` table of contents. generate-oowriter-toc ~~~~~~~~~~~~~~~~~~~~~ Generate an ODF/``oowriter`` table of contents, not a bullet list. (default) **Note:** ``odtwriter`` is not able to determine page numbers, so you will need to open the generated document in ``oowriter``, then right-click on the table of contents and select "Update" to insert page numbers. custom-odt-header ~~~~~~~~~~~~~~~~~ Specify the contents of a custom header line. For details about custom headers and about special field character sequences, see section "Custom header/footers: inserting page numbers, date, time, etc" in the `Odt Writer for Docutils`_ document for details. custom-odt-footer ~~~~~~~~~~~~~~~~~ Specify the contents of a custom footer line. For details about custom footers and about special field character sequences, see section "Custom header/footers: inserting page numbers, date, time, etc" in the `Odt Writer for Docutils`_ document for details. .. _Odt Writer for Docutils: odt.html [pseudoxml writer] ------------------ detailed ~~~~~~~~~ Pretty-print <#text> nodes. Default: False. Option: ``--detailed``. [applications] ============== [buildhtml application] ----------------------- dry_run ~~~~~~~ Do not process files, show files that would be processed. Default: False. Option: ``--dry-run``. ignore ~~~~~~ List_ of wildcard (shell globing) patterns, specifying files to silently ignore. To specify multiple patterns, use colon-separated patterns (in configuration files or on the command line); on the command line, the option may also be used more than once. Default: None. Option: ``--ignore``. prune ~~~~~ List_ of directories not to process. To specify multiple directories, use colon-separated paths (in configuration files or on the command line); on the command line, the option may also be used more than once. Default: ['.hg', '.bzr', '.git', '.svn', 'CVS']. Option: ``--prune``. recurse ~~~~~~~ Recursively scan subdirectories, or ignore subdirectories. Default: recurse (True). Options: ``--recurse, --local``. silent ~~~~~~ Work silently (no progress messages). Independent of "report_level". Default: show progress (None). Option: ``--silent``. .. _html_writer: .. _writer [buildhtml application]: writer ~~~~~~ `HTML writer`_ version. One of "html", "html4", "html5". Default: "html" (use Docutils' default HTML writer). Option: ``--writer`` New in 0.17. Obsoletes the ``html_writer`` option. .. _HTML writer: html.html [docutils application] -------------------------- New in 0.17. Config file support added in 0.18. Renamed in 0.19 (the old name "docutils-cli application" is kept as alias). Support for reader/parser import names added in 0.19. reader ~~~~~~ Reader component name. One of "standalone", "pep", or the import name of a drop-in reader module. Default: "standalone". Option: ``--reader`` parser ~~~~~~ Parser component name. Either "rst" (default) or the import name of a drop-in parser module. Parsers for CommonMark_ known to work with Docutils include "pycmark_", "myst_", and "recommonmark_". Default: "rst". Option: ``--parser`` .. _CommonMark: https://spec.commonmark.org/0.30/ .. _writer [docutils application]: writer ~~~~~~ Writer component name. One of "html", "html4", "html5", "latex", "xelatex", "odt", "xml", "pseudoxml", "manpage", "pep_html", "s5", an alias, or the import name of a drop-in writer module. Default: "html5". Option: ``--writer`` Other Settings ============== Command-Line Only ----------------- These settings are only effective as command-line options; setting them in configuration files has no effect. config ~~~~~~ Path to a configuration file to read (if it exists). [#pwd]_ Settings may override defaults and earlier settings. The config file is processed immediately. Multiple ``--config`` options may be specified; each will be processed in turn. Filesystem path settings contained within the config file will be interpreted relative to the config file's location (*not* relative to the current working directory). Default: None. Option: ``--config``. Internal Settings ----------------- These settings are for internal use only; setting them in configuration files has no effect, and there are no corresponding command-line options. _config_files ~~~~~~~~~~~~~ List of paths of applied configuration files. Default: None. No command-line options. _directories ~~~~~~~~~~~~ (``buildhtml.py`` front end.) List of paths to source directories, set from positional arguments. Default: current working directory (None). No command-line options. _disable_config ~~~~~~~~~~~~~~~ Prevent standard configuration files from being read. For programmatic use only. Default: config files enabled (None). No command-line options. _destination ~~~~~~~~~~~~ Path to output destination, set from positional arguments. Default: stdout (None). No command-line options. _source ~~~~~~~ Path to input source, set from positional arguments. Default: stdin (None). No command-line options. -------------------------------------------------------------------------- .. _language tag: https://www.w3.org/International/articles/language-tags/ .. _BCP 47: https://www.rfc-editor.org/rfc/bcp/bcp47.txt .. _ISO 639: http://www.loc.gov/standards/iso639-2/php/English_list.php .. _ISO 3166: http://www.iso.ch/iso/en/prods-services/iso3166ma/ 02iso-3166-code-lists/index.html .. [#pwd] Path relative to the working directory of the process at launch. .. [#override] The overridden setting will automatically be set to ``None`` for command-line options and config file settings. Client programs which specify defaults that override other settings must do the overriding explicitly, by assigning ``None`` to the other settings. ------------------------------ Old-Format Configuration Files ------------------------------ Formerly, Docutils configuration files contained a single "[options]" section only. This was found to be inflexible, and in August 2003 Docutils adopted the current component-based configuration file sections as described above. Up to version 2.0, Docutils will still recognize the old "[options]" section, but complain with a deprecation warning. To convert existing config files, the easiest way is to change the section title: change "[options]" to "[general]". Most settings haven't changed. The only ones to watch out for are these: ===================== ===================================== Old-Format Setting New Section & Setting ===================== ===================================== pep_stylesheet [pep_html writer] stylesheet pep_stylesheet_path [pep_html writer] stylesheet_path pep_template [pep_html writer] template ===================== ===================================== .. References .. _abstract: .. _bibliographic field list: .. _bibliographic fields: ../ref/rst/restructuredtext.html#bibliographic-fields .. _block quote: ../ref/rst/restructuredtext.html#block-quotes .. _citations: ../ref/rst/restructuredtext.html#citations .. _bullet lists: ../ref/rst/restructuredtext.html#bullet-lists .. _enumerated lists: ../ref/rst/restructuredtext.html#enumerated-lists .. _field lists: ../ref/rst/restructuredtext.html#field-lists .. _field names: ../ref/rst/restructuredtext.html#field-names .. _footnotes: ../ref/rst/restructuredtext.html#footnotes .. _footnote references: ../ref/rst/restructuredtext.html#footnote-references .. _inline markup recognition rules: ../ref/rst/restructuredtext.html#inline-markup-recognition-rules .. _literal blocks: ../ref/rst/restructuredtext.html#literal-blocks .. _option lists: ../ref/rst/restructuredtext.html#option-lists .. _tables: ../ref/rst/restructuredtext.html#tables .. _table of contents: ../ref/rst/directives.html#contents ����������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/user/emacs.txt�������0000664�0000000�0000000�00000076367�15141625651�0032454�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. -*- coding: utf-8 -*- ======================================== Emacs Support for reStructuredText ======================================== :Authors: Stefan Merten <stefan@merten-home.de>, Martin Blais <blais@furius.ca> :Version: ``rst.el`` V1.4.1 :Abstract: High-level description of the existing Emacs_ support for editing reStructuredText_ text documents. Suggested setup code and usage instructions are provided. .. contents:: Introduction ============ reStructuredText_ is a syntax for simple text files that allows a tool set - docutils_ - to extract generic document structure. For people who use Emacs_, there is a package that adds a major mode that supports editing the syntax of reStructuredText_: ``rst.el``. This document describes the features it provides, and how to setup your Emacs_ to use them and how to invoke them. Installation ============ Emacs_ support for reStructuredText_ is implemented as an Emacs_ major mode (``rst-mode``) provided by the ``rst.el`` Emacs_ package. Emacs_ distributions contain ``rst.el`` since version V23.1. However, a significantly updated version of ``rst.el`` is contained in Emacs_ V24.3. This document describes the version of ``rst.el`` contained in Emacs_ V24.3 and later versions. This version of ``rst.el`` has the internal version V1.4.1. If you have Emacs_ V24.3 or later you do not need to install anything to get reST support. If you have an Emacs_ between V23.1 and V24.2 you may use the version of ``rst.el`` installed with Emacs_ or install a more recent one locally_ (recommended). In other cases you need to install ``rst.el`` locally_ to get reST support. Checking situation ------------------ Here are some steps to check your situation: #. In Emacs_ switch to an empty buffer and try :: M-x rst-mode If this works you have ``rst.el`` installed somewhere. You can see that it works if you find a string ``ReST`` in Emacs' modeline of the current buffer. If this doesn't work you need to install ``rst.el`` yourself locally_. #. In the buffer you just switched to ``rst-mode`` try :: C-h v rst-version If this fails you have a version of ``rst.el`` older than V1.1.0. Either you have an old ``rst.el`` locally or you are using an Emacs_ between V23.1 and V24.2. In this case it is recommended that you install a more recent version of ``rst.el`` locally_. You may also try :: C-h v emacs-version to find out your Emacs_ version. #. Check the version of ``rst.el`` The content of ``rst-version`` gives you the internal version of ``rst.el``. The version contained in Emacs_ V24.3 and described here is V1.4.0. If you have an older version you may or may not install a more recent version of ``rst.el`` locally_. .. _locally: Local installation ------------------ If you decided to install locally please follow these steps. #. Download ``rst.el`` Download the most recent published version of ``rst.el`` from https://sourceforge.net/p/docutils/code/HEAD/tree/trunk/docutils/tools/editors/emacs/rst.el #. Put ``rst.el`` to a directory in ``load-path`` Use :: C-h v load-path If in the resulting list you find a directory in your home directory put ``rst.el`` in this directory. Make sure the directory is one of the first entries in ``load-path``. Otherwise a version of ``rst.el`` which came with Emacs_ may be found before your local version. In Emacs_ see the info node ``Init File Examples`` for more information on how to set up your Emacs_ initialization machinery. Try :: C-h i mEmacs<Return> sInit File Examples<Return> #. Enable ``rst-mode`` Add the following to your Emacs_ initialization setup :: (require 'rst) After you restarted Emacs_ ``rst.el`` is loaded and ready to be used. Switching ``rst-mode`` on ------------------------- By default ``rst-mode`` is switched on for files ending in ``.rst`` or ``.rest``. If in a buffer you want to switch ``rst-mode`` on manually use :: M-x rst-mode If you want to use ``rst-mode`` in files with other extensions modify ``auto-mode-alist`` to automatically turn it on whenever you visit reStructuredText_ documents:: (setq auto-mode-alist (append '(("\\.txt\\'" . rst-mode) ("\\.rst\\'" . rst-mode) ("\\.rest\\'" . rst-mode)) auto-mode-alist)) Put the extensions you want in the correct place in the example above. Add more lines if needed. If have local variables enabled (try ``C-h v enable-local-variables`` to find out), you can also add the following at the top of your documents to trigger rst-mode:: .. -*- mode: rst -*- Or this at the end of your documents:: .. Local Variables: mode: rst End: Key bindings ============ ``rst-mode`` automatically binds several keys for invoking special functions for editing reStructuredText_. Since ``rst-mode`` contains a lot of functionality most key bindings consist of three keystrokes. Following the Emacs_ conventions for major modes the key bindings of ``rst-mode`` start with ``C-c C-<letter>``. The second key stroke selects a group of key bindings: C-c C-a Commands to adjust the section headers and work with the hierarchy they build. C-c C-c Commands to compile the current reStructuredText_ document to various output formats. C-c C-l Commands to work with lists of various kinds. C-c C-r Commands to manipulate the current region. C-c C-t Commands to create and manipulate a table of contents. At any stage of typing you may use ``C-h`` to get help on the available key bindings. I.e. ``C-c C-h`` gives you help on all key bindings while ``C-c C-r C-h`` gives you help on the commands for regions. This is handy if you forgot a certain key binding. Additional key bindings which have a certain meaning in other Emacs_ modes are reused in ``rst-mode`` so you don't have to learn a different set of key bindings for editing reStructuredText_. In ``rst-mode`` try :: C-h m to list all mode specific key bindings. Most of the key bindings are described in this tutorial. .. note:: The key bindings have been completely revamped in ``rst.el`` V1.0.0. This was necessary to make room for new functionality. Some of the old bindings still work but give a warning to use the new binding. In the output of ``C-h m`` these bindings show up as ``rst-deprecated-...``. The old bindings will be removed completely in a later version. Section Adornments ================== ``rst-mode`` recognizes the section adornments building the section hierarchy of the document. Section adornments are the underlines or under- and overlines used to mark a section title. There are a couple of commands to work with section adornments. These commands are bound to key bindings starting with ``C-c C-a``. Adjusting a Section Title ------------------------- There is a function that helps a great deal to maintain these adornments: ``rst-adjust`` (bound to ``C-c C-a C-a``, ``C-c C-=``, and ``C-=``). This function is a Swiss army knife that can be invoked repeatedly and whose behavior depends on context: #. If there is an incomplete adornment, e.g. :: My Section Title == invocation will complete the adornment. It can also be used to adjust the length of the existing adornment when you need to edit the title. #. If there is no section adornment at all, by default an adornment of the same level as the last encountered section level is added. You can simply enter a few characters of the title and invoke the function to create the section adornment. The variable ``rst-new-adornment-down`` can be customized to create one level lower adornments than the previous section title instead of keeping the level. #. If there is already a section adornment, it is promoted one level up. You can invoke it like this repeatedly to cycle the title through the hierarchy of existing adornments. Invoking the function with a negative prefix argument, e.g. ``C-- C-=``, will effectively reverse the direction of adornment cycling. To alternate between underline-only and over-and-under styles, you can use a regular prefix argument, e.g. ``C-u C-=``. See the documentation of ``rst-adjust`` for more description of the prefix arguments to alter the behavior of the function. Promoting and Demoting Many Sections ------------------------------------ When you are re-organizing the structure of a document, it can be useful to change the level of a number of section titles. The same key binding can be used to do that: if the region is active when the binding is invoked, all the section titles that are within the region are promoted accordingly (or demoted, with negative prefix argument). Redoing All the Adornments to Your Taste ---------------------------------------- If you open someone else's file and the adornments it contains are unfamiliar, you may want to readjust them to fit your own preferred hierarchy of adornments. This can be difficult to perform by hand. However, you can do this easily by invoking ``rst-straighten-adornments`` (``C-c C-a C-s``), which operates on the entire buffer. Customizations for Adornments ----------------------------- You can customize the variable ``rst-preferred-adornments`` to a list of the adornments that you like to use for documents. If you prefer adornments according to http://sphinx-doc.org/rest.html#sections you may customize it to end up with a value like this:: ((35 over-and-under 0) ; ?# (42 over-and-under 0) ; ?* (61 simple 0) ; ?= (45 simple 0) ; ?- (94 simple 0) ; ?^ (34 simple 0)) ; ?" This will become the default in a later version of ``rst.el``. If you set ``rst-preferred-adornments`` to nil resembling the empty list only the section adornment found in the buffer will be used. Viewing the Hierarchy of Section Adornments ------------------------------------------- You can visualize the hierarchy of the section adornments in the current buffer by invoking ``rst-display-adornments-hierarchy``, bound on ``C-c C-a C-d``. A temporary buffer will appear with fake section titles rendered in the style of the current document. This can be useful when editing other people's documents to find out which section adornments correspond to which levels. Movement and Selection ====================== Movement and Selection for Sections ----------------------------------- You can move the cursor between the different section titles by using the ``rst-backward-section`` (``C-M-a``) and ``rst-forward-section`` (``C-M-e``). To mark the section that cursor lies in, use ``rst-mark-section`` (``C-M-h``). The key bindings are modeled after other modes with similar functionality. Movements and Selection for Text Blocks --------------------------------------- The understanding of reStructuredText_ of ``rst-mode`` is used to set all the variables influencing Emacs' understanding of paragraphs. Thus all operations on paragraphs work as usual. For instance ``forward-paragraph`` (``M-}``) works as usual. Indenting and Filling ===================== Indentation of text plays a major role in the syntax of reStructuredText_. It is tedious to maintain the indentation manually. ``rst-mode`` understands most of the structure of reStructuredText_ allowing for sophisticated indentation and filling support described in this section. Indenting Text Blocks --------------------- ``rst-mode`` supports indentation of text blocks by the command ``rst-shift-region`` (``C-c C-r TAB``). Mark a region and use ``C-c C-r TAB`` to indent all blocks one tab to the right. Use ``M-- C-c C-r TAB`` to indent the region one tab to the left. You may use arbitrary prefix arguments such as ``M-2`` or ``M-- 2`` to determine the number of tabs you want to indent. A prefix of ``M-0`` removes all indentation in the active region. A tab is an indentation making sense for the block at hand in reStructuredText_ syntax. In some cases the exact indentation depends on personal taste. You may customize a couple of variables ``M-x customize-group<RET> rst-indent<RET>`` to match your taste. Indenting Lines While Typing ---------------------------- In Emacs_ the ``TAB`` key is often used for indenting the current line. ``rst-mode`` implements this for the sophisticated indentation rules of reStructuredText_. Pressing ``TAB`` cycles through the possible tabs for the current line. In the same manner ``newline-and-indent`` (``C-j``) indents the new line properly. This is very handy while writing lists. Consider this reStructuredText_ bullet list with the cursor at ``@``:: * Level 1 * Level 2@ Type ``C-j`` twice to get this:: * Level 1 * Level 2 @ Now you an enter text at this level, or start a new list item by typing another ``*``. Or you may type ``TAB`` to reduce the indentation once:: * Level 1 * Level 2 @ Typing another ``TAB`` gets you to the first level:: * Level 1 * Level 2 @ .. note:: Since Emacs_ V24.4 ``electric-indent-mode`` is globally on. This breaks indentation in ``rst-mode`` and renders ``rst-mode`` mostly useless. This is fixed in V1.4.1 of ``rst-mode``. A quick fix for older versions of ``rst.el`` is to add the following line at the end of the ``(define-derived-mode rst-mode ...`` block in your copy of ``rst.el``:: (setq electric-indent-inhibit t) You may also install V1.4.1 or newer locally_. Filling ------- ``rst-mode`` understanding the indentation rules of reStructuredText_ also supports filling paragraphs. Just use ``fill-paragraph`` (``M-q``) as you do in other modes. Operating on Lists ================== Lists are supported in various flavors in reStructuredText_. ``rst-mode`` understands reStructuredText_ lists and offers some support for operating on lists. Key bindings for commands for operating on lists start with ``C-c C-l``. Please note that so far definition lists are not explicitly supported by ``rst-mode``. Bulleted and Enumerated Lists ----------------------------- If you have a couple of plain lines you want to turn into an enumerated list you can invoke ``rst-enumerate-region`` (``C-c C-l C-e``). For example, the following region :: Apples Oranges Bananas becomes :: 1. Apples 2. Oranges 3. Bananas ``rst-bullet-list-region`` (``C-c C-l C-b``) does the same, but results in a bullet list :: * Apples * Oranges * Bananas By default, each paragraph starting on the leftmost line in the highlighted region will be taken to be a single list or enumeration item, for example, enumerating the following:: An apple a day keeps the doctor away. But oranges are tastier than apples. If you preferred bananas you may be a monkey. Will result in:: 1. An apple a day keeps the doctor away. 2. But oranges are tastier than apples. 3. If you preferred bananas you may be a monkey. If you would like to enumerate each of the lines, use a prefix argument on the preceding commands, e.g.:: Apples Oranges Bananas becomes:: * Apples * Oranges * Bananas Straightening Existing Bullet List Hierarchies ---------------------------------------------- If you invoke ``rst-straighten-bullets-region`` (``C-c C-l C-s``), the existing bullets in the active region will be replaced to reflect their respective level. This does not make a difference in the document structure that reStructuredText_ defines, but looks better in, for example, if all of the top-level bullet items use the character ``-``, and all of the 2nd level items use ``*``, etc. Inserting a List Item --------------------- To start a new list you may invoke ``rst-insert-list`` (``C-c C-l C-i``). You may choose from an item style supported by reStructuredText_. You may also invoke ``rst-insert-list`` at the end of a list item. In this case it inserts a new line containing the markup for the a list item on the same level. Operating on Other Text Blocks ============================== Creating and Removing Line Blocks --------------------------------- To create line blocks, first select the region to convert and invoke ``rst-line-block-region`` ``C-c C-r C-l``. For example, the following :: Apples Oranges Bananas becomes :: | Apples | Oranges | Bananas This works even if the region is indented. To remove line blocks, select a region and invoke with a prefix argument. Commenting a Region of Text --------------------------- ``rst-mode`` understands reStructuredText_ comments. Use ``comment-dwim`` (``M-;``) to work on comments as usual:: Apples Oranges Bananas becomes:: .. Apples Oranges Bananas To remove a comment you have to tell this to ``comment-dwim`` explicitly by using a prefix argument (``C-u M-;``). Please note that only indented comments are supported properly by the parts of ``comment-dwim`` working on regions. .. _Conversion: Converting Documents from Emacs =============================== ``rst-mode`` provides a number of functions for running documents being edited through the docutils tools. The key bindings for these commands start with ``C-c C-c``. The main generic function is ``rst-compile`` (``C-c C-c C-c``). It invokes a compilation command with the correct output name for the current buffer and then invokes Emacs' compile function. It also looks for the presence of a ``docutils.conf`` configuration file in the parent directories and adds it to the command line options. There is also ``rst-compile-alt-toolset`` (``C-c C-c C-a``) in case you often need run your document in a second toolset. You can customize the commands being used by setting ``rst-compile-primary-toolset`` and ``rst-compile-secondary-toolset``. Other commands are available for other formats: * ``rst-compile-pseudo-region`` (``C-c C-c C-x``) When crafting documents, it is often convenient to view which data structures docutils will parse them into. You can use to run the active region through ``rst2pseudoxml.py`` and have the output automatically be displayed in a new buffer. * ``rst-compile-pdf-preview`` (``C-c C-c C-p``) Convert the current document to PDF and launch a viewer on the results. * ``rst-compile-slides-preview`` (``C-c C-c C-s``): Convert the current document to S5 slides and view in a web browser. Imenu Support ============= Using Imenu ----------- Emacs_ has a package called ``imenu``. ``rst-mode`` supports Imenu by adding a function to convert the structure of a reStructuredText_ buffer to an Imenu index. Thus you can use invoke ``imenu`` (``M-x imenu``) to navigate through the section index or invoke ``imenu-add-to-menubar`` (``M-x imenu-add-to-menubar``) to add an Imenu menu entry to Emacs' menu bar. Using which function -------------------- As a side effect of Imenu support the ``which-func`` package is also supported. Invoke ``which-function-mode`` (``M-x which-function-mode``) to add the name of the current section to the mode line. This is especially useful if you navigate through documents with long sections which do not fit on a single screen. Using the Table of Contents =========================== The sections in a reStructuredText_ document can be used to form a table of contents. ``rst-mode`` can work with such a table of contents in various forms. Key bindings for these commands start with ``C-c C-t``. Navigating Using the Table of Contents -------------------------------------- When you are editing long documents, it can be a bit difficult to orient yourself in the structure of your text. To that effect, a function is provided that presents a hierarchically indented table of contents of the document in a temporary buffer, in which you can navigate and press ``Return`` to go to a specific section. Invoke ``rst-toc`` (``C-c C-t C-t``). It presents a temporary buffer that looks something like this:: Table of Contents: Debugging Meta-Techniques Introduction Debugging Solution Patterns Recognize That a Bug Exists Subdivide and Isolate Identify and Verify Assumptions Use a Tool for Introspection Change one thing at a time Learn about the System Understanding a bug The Basic Steps in Debugging Attitude Bad Feelings Good Feelings References When you move the cursor to a section title and press ``RET`` or ``f`` or click with ``button1`` on a section title, the temporary buffer disappears and you are left with the cursor positioned at the chosen section. Clicking with ``button2`` jumps to the respective section but keeps the toc buffer. You can use this to look at the various section headers quickly. Use ``q`` in this buffer to just quit it without moving the cursor in the original document. Use ``z`` to zap the buffer altogether. Inserting a Table of Contents ----------------------------- Oftentimes in long text documents that are meant to be read directly, a table of contents is inserted at the beginning of the text. In reStructuredText_ documents, since the table of contents is automatically generated by the parser with the ``.. contents::`` directive, people generally have not been adding an explicit table of contents to their source documents, and partly because it is too much trouble to edit and maintain. The Emacs_ support for reStructuredText_ provides a function to insert such a table of contents in your document. Since it is not meant to be part of the document text, you should place such a table of contents within a comment, so that it is ignored by the parser. This is the favored usage:: .. contents:: .. 1 Introduction 2 Debugging Solution Patterns 2.1 Recognize That a Bug Exists 2.2 Subdivide and Isolate 2.3 Identify and Verify Assumptions 2.4 Use a Tool for Introspection 2.5 Change one thing at a time 2.6 Learn about the System 3 Understanding a bug 4 The Basic Steps in Debugging 5 Attitude 5.1 Bad Feelings 5.2 Good Feelings 6 References Just place the cursor at the top-left corner where you want to insert the TOC and invoke the function ``rst-toc-insert`` with ``C-c C-t C-i``. The table of contents will display all the section titles that are under the location where the insertion occurs. This way you can insert local table of contents by placing them in the appropriate location. You can use a numeric prefix argument to limit the depth of rendering of the TOC. You can customize the look of the TOC by setting the values of the following variables: ``rst-toc-indent``, ``rst-toc-insert-style``, ``rst-toc-insert-max-level``. Maintaining the Table of Contents Up-to-date -------------------------------------------- One issue is that you will probably want to maintain the inserted table of contents up-to-date. ``rst-toc-update`` (``C-c C-t C-u``) will automatically update an inserted table of contents following a ``.. contents::`` directive laid out like the example above. Syntax Highlighting via Font-Lock ================================= ``rst-mode`` provides syntax highlighting for nearly all to reStructuredText_ constructs. Use ``customize-group rst-faces`` to customize the faces used for font-locking. Customization ============= Some aspects of ``rst-mode`` can be configured through the customization feature of Emacs_. Try :: M-x customize-group<RETURN>rst for all customizations or use the respective menu entry. Those customizations which are useful for many people are described in this section. Customizing Section Title Formatting ------------------------------------ For a couple of things the reStructuredText_ syntax offers a choice of options on how to do things exactly. Some of these choices influence the operation of ``rst.el`` and thus can be configured. The customizations are contained in the ``rst-adjust`` group. Among these things is the exact layout of section adornments. In fact reStructuredText_ prescribes only the characters and how these characters must be used but the exact use of concrete adornments may be different in every source file. Using the customization option ``rst-preferred-adornments`` you can tell ``rst-mode`` on the exact sequence of adornments you prefer to markup the different levels of sections headers. Finally the title text of over-and-under adornments may be indented in reStructuredText_. ``rst-default-indent`` tells ``rst-mode`` how many positions a over-and-under adornment should be indented when toggling from simple adornment and in case a consistent indentation throughout the whole buffer for such adornment is needed. Customizing Indentation ----------------------- reStructuredText_ uses indentation a lot to signify a certain meaning. In some cases the exact amount of indentation is prescribed by the syntax while in some cases the exact indentation is not fixed. The customization group ``rst-indent`` allows to customize the amount of indentation in these cases. In field lists the content of a field needs to be indented relative to the field label. ``rst-indent-field`` tells ``rst-mode`` the amount of indentation to use for field content. A value of zero always indents according to the content after the field label. The indentation of literal blocks is controlled by ``rst-indent-literal-normal`` and ``rst-indent-literal-minimized``. The first is used when the leading literal tag (``::``) appears alone on a line. The second is used when the minimized style is used where the literal tag follows some text. The indentation of comments is controlled by ``rst-indent-comment``. Of course this makes only sense for the indented comments of reStructuredText_. Customization option ``rst-indent-width`` gives the default indentation when there are no other hints on what amount of indentation to use. Customizing Faces ----------------- The faces used for font-locking can be defined in the ``rst-faces`` customization group. The customization options ending in ``-face`` are only there for backward compatibility so please leave them as they are. reStructuredText_ sets no limit on the nesting of sections. By default there are six levels of fontification defined. Section titles deeper than six level have no special fontification - only the adornments are fontified. The exact mapping from a level to a face is done by by ``rst-adornment-faces-alist``, however. So if you need fontification deeper than six levels you may want to customize this option. You may also want to customize it if you like the general idea of section title fontification in ``rst-mode`` but for instance prefer a reversed order. Customizing Conversion ---------------------- Conversion_ can be customized by the customization options in the customization group ``rst-compile``. If some conversion does not work as expected please check the variable ``rst-compile-toolsets`` :: M-x customize-option<RETURN>rst-compile-toolsets This variable defines the commands and other details used for conversion. In case of problems please check that the commands are either available or customize them to what is available in your environment. .. note:: There are some options in V1.4.1 of ``rst.el`` which should be customization options but are not yet. Customization support will be added in a later version. .. note:: Please note that there is a package ``rst2pdf`` based on the ReportLab library. Please note that the command of this package requires an additional ``-o`` for naming the output file. This breaks the usual conventions employed by Docutils tools. ``rst-mode`` V1.4.1 does not support this directly. Other Customizations -------------------- ``rst-preferred-bullets`` can be customized to hold your preferred set of bullets to use for bulleted lists. ``rst-mode-hook`` is a normal major mode hook which may be customized. It is run if you enter ``rst-mode``. Related aspects =============== This section covers some general aspects using Emacs_ for editing reStructuredText_ source. They are not directly related to ``rst-mode`` but may enhance your experience. ``text-mode`` Settings ---------------------- Consult the Emacs_ manual for more ``text-mode`` customizations. In particular, you may be interested in setting the following variables, functions and modes that pertain somewhat to ``text-mode``: * ``indent-tabs-mode`` * ``colon-double-space`` * ``sentence-end-double-space`` * ``auto-fill-mode`` * ``auto-mode-alist`` Editing Tables: Emacs table mode -------------------------------- You may want to check out `Emacs table mode`_ to create an edit tables, it allows creating ASCII tables compatible with reStructuredText_. .. _Emacs table mode: http://table.sourceforge.net/ Character Processing -------------------- Since reStructuredText punts on the issue of character processing, here are some useful resources for Emacs_ users in the Unicode world: * `xmlunicode.el and unichars.el from Norman Walsh <http://nwalsh.com/emacs/xmlchars/index.html>`__ * `An essay by Tim Bray, with example code <http://www.tbray.org/ongoing/When/200x/2003/09/27/UniEmacs>`__ * For Emacs_ users on Mac OS X, here are some useful useful additions to your .emacs file. - To get direct keyboard input of non-ASCII characters (like "option-e e" resulting in "é" [eacute]), first enable the option key by setting the command key as your meta key:: (setq mac-command-key-is-meta t) ;; nil for option key Next, use one of these lines:: (set-keyboard-coding-system 'mac-roman) (setq mac-keyboard-text-encoding kTextEncodingISOLatin1) I prefer the first line, because it enables non-Latin-1 characters as well (em-dash, curly quotes, etc.). - To enable the display of all characters in the Mac-Roman charset, first create a fontset listing the fonts to use for each range of characters using charsets that Emacs_ understands:: (create-fontset-from-fontset-spec "-apple-monaco-medium-r-normal--10-*-*-*-*-*-fontset-monaco, ascii:-apple-monaco-medium-r-normal--10-100-75-75-m-100-mac-roman, latin-iso8859-1:-apple-monaco-medium-r-normal--10-100-75-75-m-100-mac-roman, mule-unicode-0100-24ff:-apple-monaco-medium-r-normal--10-100-75-75-m-100-mac-roman") Latin-1 doesn't cover characters like em-dash and curly quotes, so "mule-unicode-0100-24ff" is needed. Next, use that fontset:: (set-frame-font "fontset-monaco") - To enable cooperation between the system clipboard and the Emacs_ kill ring, add this line:: (set-clipboard-coding-system 'mac-roman) Other useful resources are in `Andrew Choi's Emacs 21 for Mac OS X FAQ <http://members.shaw.ca/akochoi-emacs/stories/faq.html>`__. Credits ======= Part of the original code of ``rst.el`` has been written by Martin Blais and David Goodger and Wei-Wei Guo. The font-locking came from Stefan Merten. Most of the code has been modified, enhanced and extended by Stefan Merten who also is the current maintainer of ``rst.el``. .. _Emacs: https://www.gnu.org/software/emacs/emacs.html .. _reStructuredText: https://docutils.sourceforge.io/rst.html .. _Docutils: https://docutils.sourceforge.io/ .. LocalWords: reST utf Merten Blais rst el docutils modeline emacs .. LocalWords: Init mEmacs sInit alist setq txt overlines RET nd py .. LocalWords: dwim conf toolset pseudoxml pdf Imenu imenu menubar .. LocalWords: func toc xmlunicode unichars eacute charset fontset .. LocalWords: kTextEncodingISOLatin charsets monaco ascii latin .. LocalWords: iso unicode Choi's Goodger Guo .. Local Variables: mode: rst indent-tabs-mode: nil fill-column: 70 End: �������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/user/html.txt��������0000664�0000000�0000000�00000020176�15141625651�0032313�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������===================== Docutils HTML writers ===================== .. contents:: html ---- `html` is an alias for the default Docutils HTML writer. Currently, `html` is mapped to html4css1_. The target may change with the development of HTML, browsers, Docutils, and the web. * Use ``get_writer_by_name('html')`` or the rst2html.py_ front end, if you want the output to be up-to-date automatically. * Use a specific writer name or front end, if you depend on stability of the generated HTML code, e.g. because you use a custom style sheet or post-processing that may break otherwise. html4css1 --------- :aliases: html4, html_ :front-ends: rst2html4.py, rst2html.py_ :config: `[html4css1 writer]`_ The HTML Writer module, ``docutils/writers/html4css1.py``, was the first Docutils writer and up to release 0.13 the only official HTML writer. The output conforms to the `XHTML 1 Transitional`_ specification. It does not validate as `HTML 4.01 Transitional`_ due to the closing of empty tags required in XML but not allowed in HTML 4. However, the output follows the `HTML Compatibility Guidelines`_ for proper rendering on most HTML user agents. Correct rendering depends on a CSS_ style sheet. A reference style sheet, `html4css1.css`_, is provided and used by default. To support the `Internet Explorer` (with a market share of about 90% around 2002, the time this writer was written), documents contain some hard-coded formatting hints and are tagged as "text/html" (instead of "application/xhtml+xml"). [#IE]_ .. [#IE] Conformance to `CSS 2.1`_ has been added in IE 8 (2009), support for XHTML in IE 9 (2011). .. _rst2html.py: tools.html#rst2html-py .. _[html4css1 writer]: config.html#html4css1-writer .. _html4css1.css: ../../docutils/writers/html4css1/html4css1.css pep_html ~~~~~~~~ :front-end: rstpep2html.py_ :config: `[pep_html writer]`_ This is a special writer for the generation of `Python Enhancement Proposals`_ (PEPs). It inherits from html4css1_ and adds some `PEP-specific options`_, a style sheet and template. The front-end uses also a specialised reader. .. _rstpep2html.py: tools.html#rstpep2html-py .. _PEP-specific options: .. _[pep_html writer]: config.html#pep-html-writer .. _Python Enhancement Proposals: https://peps.python.org/ s5_html ~~~~~~~ :alias: s5 :front-end: rst2s5.py_ :config: `[s5_html writer]`_ The `s5` writer inherits from html4css1_. It produces XHTML for use with S5_, the “Simple Standards-based Slide Show System†by Eric Meyer. See `Easy Slide Shows With reST & S5`_ for details. .. _rst2s5.py: tools.html#rst2s5-py .. _[s5_html writer]: config.html#s5-html-writer .. _Easy Slide Shows With reST & S5: slide-shows.html .. _S5: http://meyerweb.com/eric/tools/s5/ .. _theme: tools.html#themes html5_polyglot -------------- :aliases: html5 :front-end: rst2html5.py_ :config: `[html5 writer]`_ The ``html5_polyglot`` writer generates `polyglot HTML`_ [#]_ output, valid XML [#safetext]_ that is compatible with `HTML5`_. New features and elements are used if they are widely supported. There is no hard-coded formatting information in the HTML document. Correct rendering of elements not directly supported by HTML depends on a CSS_ style sheet. The provided style sheet minimal.css_ defines required styling rules; plain.css_ and responsive.css_ add optional rules for better legibility. Adaption of the layout is possible with `custom style sheets`_. [#safetext]_ New in Docutils 0.13 .. [#] see also `Benefits of polyglot XHTML5`_ .. [#safetext] The validity of raw HTML and custom stylesheets must be ensured by the author. .. _rst2html5.py: tools.html#rst2html5-py .. _[html5 writer]: config.html#html5-writer .. _minimal.css: ../../docutils/writers/html5_polyglot/minimal.css .. _plain.css: ../../docutils/writers/html5_polyglot/plain.css .. _responsive.css: ../../docutils/writers/html5_polyglot/responsive.css .. _custom style sheets: ../howto/html-stylesheets.html .. _viewable with any browser: http://www.anybrowser.org/campaign .. _Benefits of polyglot XHTML5: http://xmlplease.com/xhtml/xhtml5polyglot/ Overview -------- ================ =========== ============== ================= =========== name aliases `front-end`_ HTML version CSS version ================ =========== ============== ================= =========== html4css1_ html4, rst2html4.py, `XHTML 1 `CSS 1`_ html_ rst2html.py Transitional`_ pep_html_ .. rstpep2html.py `XHTML 1 `CSS 1`_ Transitional`_ s5_html_ s5 rst2s5.py `XHTML 1 `CSS 1`_ Transitional`_ html5_polyglot_ html5 rst2html5.py `HTML5`_ `CSS 3`_ ================ =========== ============== ================= =========== For additional alternatives, see the `Docutils link list`__ and the sandbox_. __ https://docutils.sourceforge.io/docs/user/links.html #website-generators-and-html-variants .. _sandbox: ../dev/policies.html#the-sandbox References ---------- _`HTML5` `HTML5, A vocabulary and associated APIs for HTML and XHTML`, W3C Recommendation, 28 October 2014. https://www.w3.org/TR/2014/REC-html5-20141028/ _`XHTML 1.1` `XHTMLâ„¢ 1.1 - Module-based XHTML - Second Edition`, W3C Recommendation, 23 November 2010. https://www.w3.org/TR/xhtml11/ _`XHTML 1 Transitional` `Transitional version`_ of: `XHTMLâ„¢ 1.0 The Extensible HyperText Markup Language (Second Edition)`, `A Reformulation of HTML 4 in XML 1.0`, W3C Recommendation, 26 January 2000, revised 1 August 2002. https://www.w3.org/TR/xhtml1/ _`XHTML Basic` `XHTMLâ„¢ Basic 1.1 - Second Edition`, W3C Recommendation, 23 November 2010. https://www.w3.org/TR/xhtml-basic/ .. _transitional version: https://www.w3.org/TR/xhtml1/#a_dtd_XHTML-1.0-Transitional _`HTML 4.01 Transitional` Transitional version of: `HTML 4.01 Specification`, W3C Recommendation 24 December 1999. https://www.w3.org/TR/html4/ .. _`CSS 1`: _`CSS Level 1`: The features defined in the `CSS1 specification`_, but using the syntax and definitions in the `CSS 2.1`_ specification. _`CSS 2.1` `Cascading Style Sheets Level 2 Revision 1 (CSS 2.1) Specification`, W3C Recommendation 07 June 2011. https://www.w3.org/TR/CSS21/ _`CSS 3`: CSS Level 3 builds on CSS Level 2 module by module, using the CSS2.1 specification as its core. Specifications: https://www.w3.org/Style/CSS/specs.en.html Validator: http://jigsaw.w3.org/css-validator/ .. other references ---------------- .. _HTML Compatibility Guidelines: https://www.w3.org/TR/xhtml1/#guidelines .. _CSS: https://www.w3.org/TR/CSS/ .. _CSS1 specification: https://www.w3.org/TR/2008/REC-CSS1-20080411/ .. _polyglot HTML: https://www.w3.org/TR/html-polyglot/ .. Beware. This specification is no longer in active maintenance and the HTML Working Group does not intend to maintain it further. .. Appendix On the question of Polyglot markup, there seems to be little consensus. One line of argument suggests that, to the extent that it is practical to obey the Robustness principle, it makes sense to do so. That is, if you're generating HTML markup for the web, and you can generate Polyglot markup that is also directly consumable as XML, you should do so. Another line of argument suggests that even under the most optimistic of projections, so tiny a fraction of the web will ever be written in Polyglot that there's no practical benefit to pursuing it as a general strategy for consuming documents from the web. If you want to consume HTML content, use an HTML parser that produces an XML-compatible DOM or event stream. -- https://www.w3.org/TR/html-xml-tf-report/#conclusions Further development On 2016-05-25, David Goodger wrote: > In addition, I'd actually like to see the HTML writer(s) with > fully-parameterized classes, i.e. removing hard-coded *classes* as well as > formatting. This way, any user who wants to (e.g.) write reST for use with > Bootstrap can easily work around any naming conflicts. .. _front-end: tools.html 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Generating LaTeX with Docutils ================================ :Author: Engelbert Gruber, Günter Milde :Contact: docutils-develop@lists.sourceforge.net :Revision: $Revision$ :Date: $Date$ :Copyright: This document has been placed in the public domain. :Abstract: This document covers topics specific to Docutils' LaTeX_ export. .. contents:: .. sectnum:: LaTeX ===== LaTeX__, is a document preparation system for high-quality typesetting. It is most often used for medium-to-large technical or scientific documents but it can be used for almost any form of publishing. There exists a wide selection of `LaTeX Documentation on the net`_ and `books on LaTeX and related topics`_. For an introduction to LaTeX see, e.g., `LaTeX2e for authors`_. __ http://www.latex-project.org/ .. _LaTeX2e for authors: http://www.latex-project.org/guides/usrguide.pdf .. _LaTeX Documentation on the net: http://www.latex-project.org/guides/ .. _books on LaTeX and related topics: http://www.latex-project.org/guides/books.html .. _LaTeX packages: LaTeX document classes and packages ----------------------------------- Unlike HTML with CSS, LaTeX uses one common language for markup and style definitions. Separation of content and style is realized by collecting style definitions in LaTeX classes and packages, or the `document preamble <LaTeX preamble_>`_. LaTeX document classes and packages (similar to Python modules or C libraries) provide means to extend or modify the LaTeX language by redefining macros or providing new ones. Using the `document class`_ and `style sheet`_ configuration options, you can select from a *huge* selection of classes and packages (standard as well as user contributed) coming with your TeX distribution or available at CTAN_ as well as custom style sheets. .. _CTAN: http://www.ctan.org Docutils specific LaTeX macros ------------------------------ Some Docutils objects have no LaTeX counterpart, they will be typeset using a Docutils specific LaTeX *macro* (command, environment, or length) to allow customization. By convention, special macros use the prefix ``\DU``\ [#]_. The `docutils.sty`_ LaTeX package providing required definitions is part of Docutils ≥ 0.17 and available on CTAN since 2020-09-04. The generated LaTeX documents should be kept processable by a standard LaTeX installation. Therefore fallback definitions are included after the `custom style sheets`_, if a macro is required in the document and the `stylesheet`_ setting does not include "docutils". * Custom `style sheets`_ can define alternative implementations with ``\newcommand``, ``\newenvironment``, and ``\newlength`` followed by ``\setlength``. * Definitions with `raw LaTeX`_ are part of the document body. Use ``\def``, ``\renewcommand`` or ``\renewenvironment``, and ``\setlength``. See the test output standalone_rst_latex.tex_ for an example of the fallback definitions and their use in the document. .. [#] DU for Documentation Utilities = Docutils .. _docutils.sty: https://ctan.org/pkg/docutils Length units ------------ LaTeX supports all `length units`_ defined for Docutils plus the following less common units: :pt: typewriter's (or LaTeX) point (1 pt = 1/72.27 in) :dd: didôt (1 dd = 1238/1157 pt) :cc: cîcero (1 cc = 12 dd) :sp: scaled point (1sp = 1/65536pt) .. attention:: Different definitions of the unit "pt"! * In Docutils (as well as CSS) the unit symbol "pt" denotes the `Postscript point` or `DTP point`. * LaTeX uses "pt" for the `LaTeX point`, which is unknown to Docutils and 0.3 % smaller. * The `DTP point` is available in LaTeX as "bp" (big point): 1 pt = 1/72.25 in < 1 bp = 1/72 in Lengths specified in the document with unit "pt" will be given the unit "bp" in the LaTeX source. In `raw LaTeX`_ and `custom style sheets`_, the `DTP point` must be specified as "bp", while "pt" is interpreted as `LaTeX point`. The default length unit (added by Docutils to length specifications without unit) is the "DTP point". .. _length units: ../ref/rst/restructuredtext.html#length-units PDF generation ============== In most cases, LaTeX code is not the desired end-format of the document. LaTeX offers many ways to generate PDF documents from the LaTeX source, including: _`pdflatex` Generates a PDF document directly from the LaTeX file. Export your document with the _`LaTeX2e writer` (writer name "``latex``", frontend tool rst2latex.py_). _`xelatex` or _`lualatex` The `XeTeX`_ and LuaTeX_ engines work with input files in UTF-8 encoding and system fonts. Export your document with the _`XeLaTeX writer` (writer name "``xetex``", frontend tool rst2xetex.py_). You may need to call latex two or three times to get internal references correct. .. _documentoptions: config.html#documentoptions .. _xetex: http://tug.org/xetex/ .. _luatex: http://luatex.org/ .. _rst2latex.py: tools.html#rst2latex-py .. _rst2xetex.py: tools.html#rst2xetex-py _`rubber` The Rubber__ wrapper for LaTeX and friends can be used to automatically run all programs the required number of times and delete "spurious" files. This includes processing bibliographic references or indices, as well as compilation or conversion of figures. __ https://gitlab.com/latex-rubber/rubber/ Configuration ============= .. contents:: :local: .. _option: Options/Settings ---------------- Options can be specified as * command-line options, or * configuration settings. Run ``rst2latex.py --help`` to get a list of available options; see `Docutils Configuration`_ for details. .. _Docutils Configuration: config.html Classes ------- The `"classes" attribute`_ is one of the common attributes, shared by all Docutils elements. In HTML, the common use is to provide selection criteria for style rules in CSS stylesheets. As there is no comparable framework for LaTeX, Docutils emulates some of this behaviour via `Docutils specific LaTeX macros`_. Due to LaTeX limitations, class arguments are ignored for some elements (e.g. a rubric_). *Inline elements* are handled via the ``\DUrole{}`` macro that calls the optional styling command ``\DUrole«classargument»`` with one argument (the role content). See `custom interpreted text roles`_. *Block level elements* are wrapped in "class environments": ``\begin{DUclass}`` calls the optional styling command ``\DUCLASS«classargument»{}``, ``\end{DUclass}`` tries ``\endDUCLASS«classargument»``. Customization is done by defining matching macros or environments. Example 1: Use small caps font inside elements with class value "custom". *Inline elements* The LaTeX function ``\textsc`` sets the argument in small caps:: \newcommand{\DUrolecustom}[1]{\textsc{#1}} *Block-level elements* The LaTeX directive (macro without argument) ``\scshape`` switches to the small caps font. Its effect is confined to the wrapper ``DUclass`` environment:: \newcommand*{\DUCLASScustom}{\scshape} Example 2: It is even possible to locally redefine other LaTeX macros, e.g. to turn bullet lists with class value "enumerateitems" into enumerated lists:: \newcommand*{\DUCLASSenumerateitems}{% \renewenvironment{itemize}{\begin{enumerate}}% {\end{enumerate}}% } .. rubric:: Notes * Class arguments may contain numbers and hyphens, which need special treatment in LaTeX command names (see `class directive`_). The commands ``\csname`` and ``\endcsname`` or the special command ``\@namedef`` can help with the definition of corresponding macros or environments, e.g.:: \expandafter\newcommand\csname gg1\endcsname{Definition of gg1.} or :: \makeatletter \@namedef{DUCLASSadmonition-test}{…} \makeatother * Elements can have multiple class arguments. In contrast to HTML/CSS, the order of the class arguments cannot be ignored in LaTeX * Class handling differs for some elements and class values: * Class argument values starting with ``align-`` are transformed to "align" argument values. Class argument values starting with ``language-`` set the elements language property. * The table element recognizes some special class values. See section `table style`_. * If the legacy-class-functions_ setting is True, the special macros ``\DUadmonition`` and ``\DUtitle`` are written with a comma separated list of class values as optional argument. .. _"classes" attribute: ../ref/doctree.html#classes .. _legacy-class-functions: config.html#legacy-class-functions LaTeX code ---------- Custom LaTeX code can be placed in `style sheets`_, the `LaTeX preamble`_, the document body (`raw LaTeX`_), or custom templates_. The functional tests that come with Docutils, can serve as example. input: standalone_rst_latex.txt_ (includes files from `tests/functional/input/data`_) expected output: standalone_rst_latex.tex_ .. _standalone_rst_latex.txt: https://sourceforge.net/p/docutils/code/HEAD/tree/trunk/docutils/test/functional/input/standalone_rst_latex.txt .. _tests/functional/input/data: https://sourceforge.net/p/docutils/code/HEAD/tree/trunk/docutils/test/functional/input/data .. _standalone_rst_latex.tex: https://sourceforge.net/p/docutils/code/HEAD/tree/trunk/docutils/test/functional/expected/standalone_rst_latex.tex .. _style sheet: .. _custom style sheets: Style sheets ```````````` A common way of LaTeX customization is the preparation of custom style sheets, either as simple files with LaTeX code snippets or as home-made `LaTeX packages`_ (see the clsguide_ for an introduction on LaTeX package writing). Options: stylesheet_ It is possible to specify multiple style sheets and mix `LaTeX packages`_ with custom style sheets. You cannot specify package options with the stylesheet_ setting. If you need to pass options to the package, use the ``\usepackage`` command in the `LaTeX preamble`_ or a custom style sheet. Example 1: Select Latin Modern fonts with the `lmodern` package:: --stylesheet=lmodern Example 2: Use the `preamble.tex` home-made custom style sheet together with the package `kerkis` (Bookman fonts):: --stylesheet=kerkis,preamble.tex Example 3: Select Palatino fonts with old-style numbers and true small-caps with the LaTeX command :: \usepackage[osf,sc]{mathpazo} in the `LaTeX preamble`_ or `custom style sheets`_. Stylesheet Repository There is a `repository of user-contributed style sheets`_ in the Docutils Sandbox_. .. _clsguide: https://mirrors.ctan.org/macros/latex/base/clsguide.pdf .. _stylesheet: config.html#stylesheet-latex-writers .. _embed-stylesheet: config.html#embed-stylesheet-latex-writers .. _repository of user-contributed style sheets: ../../../sandbox/stylesheets/ .. _sandbox: ../../../sandbox/ LaTeX preamble `````````````` Configuration by LaTeX code in the document preamble is also possible without a separate stylesheet. This way, packages can be loaded with options or commands re-defined without the need to create a separate file (new in Docutils 0.7). Option: latex-preamble_ Default: used for `font setup`_ Example: To use the better looking ``txtt`` font for monospaced text define the latex-preamble_ setting in a configuration file:: latex-preamble: \renewcommand{\ttdefault}{txtt} \usepackage{mathptmx} % Times \usepackage[scaled=.92]{helvet} % Helvetica .. _latex-preamble: config.html#latex-preamble .. _PDF standard fonts: https://en.wikipedia.org/wiki/PDF#Standard_Type_1_Fonts .. _Linux Libertine: http://www.linuxlibertine.org Templates ````````` Some customizations require commands at places other than the insertion point of stylesheets or depend on the deletion/replacement of parts of the document. This can be done via a custom template. See the `publisher documentation`_ for a description of the document parts available in a template file. Option: template_ In addition to the 'default.tex' template, the latex writer directory contains the alternatives 'titlepage.tex' (separate title page) and 'titlingpage.tex'" (separate title page with the `memoir`_ `document class`_). Example: Print a title page including docinfo, dedication, and abstract:: --template=titlepage.tex .. _publisher documentation: ../api/publisher.html .. _template: config.html#template-latex-writers Raw LaTeX ````````` By means of the `raw directive`_ or a derived `custom role`_, one can give commands directly to LaTeX. These can be both, styling as well as printing commands. Example: Math formula:: .. raw:: latex \[x^3 + 3x^2a + 3xa^2 + a^3,\] (Drawback: the formula will be invisible in other output formats. Better use the `math directive`_) Most LaTeX code examples also work as raw LaTeX inside the document. An exception are commands that need to be given in the document preamble (e.g. package loading with ``\usepackage``, which can be achieved with the ``--style-sheet`` or ``--latex-preamble`` command line options instead). Remember to use *re-defining* commands for customizing `Docutils specific LaTeX macros`_ with raw LaTeX. Example: Define the transition command as page break:: .. raw:: latex \renewcommand*{\DUtransition}{\pagebreak[4]} See also: * Defining a macro for a `custom role`_. * Forcing `page breaks`_. .. _raw directive: ../ref/rst/directives.html#raw .. _math directive: ../ref/rst/directives.html#math How to configure the ... ======================== admonitions ----------- Admonitions__ are specially marked "topics" that can appear anywhere an ordinary body element can. __ ../ref/rst/directives.html#admonitions Environment: ``DUadmonition`` (Command ``\DUadmonition`` with legacy-class-functions_.) Default: Typeset in a frame (90 % of text width). The admonition title is typeset with the ``\DUtitle`` command (see `titles`_). Example 1: A lighter layout without the frame:: \newenvironment{DUadmonition}% {\begin{quote}} {\end{quote}} Example 2: Print all admonitions in the margin:: \usepackage{environ} \NewEnviron{DUadmonition}{\marginpar{\BODY}} Example 3: Use the ``.. note::`` admonition for a margin note:: \usepackage{environ} \newcommand{\DUCLASSnote}{% \RenewEnviron{DUadmonition}{\marginpar{\BODY}}% \renewcommand{\DUtitle}[1]{}% suppress title ("Note") } .. caution:: Make sure there is enough space in the margin. ``\marginpar`` fails in some places or with some content. See also the environ_ and marginnote_ packages. .. _environ: https://ctan.org/pkg/environ .. _marginnote: https://ctan.org/pkg/marginnote .. _custom role: custom interpreted text roles ----------------------------- The rst `role directive`_ allows defining custom `text roles`_ that mark parts of inline text (spans) with class arguments (see section classes_). Commands: ``\DUrole``: dispatcher command ``\DUrole«classargument»``: optional styling command with 1 argument (the role content). Default: The default definition of ``\DUrole{«classargument»}{}`` calls the macro named ``\DUrole«classargument»{}`` if it is defined and silently ignores this class argument if not. Example 1: Typeset text in small caps:: .. role:: smallcaps :smallcaps:`Fourier` transformation This is transformed to the LaTeX code:: \DUrole{smallcaps}{Fourier} transformation The definition :: \newcommand{\DUrolesmallcaps}{\textsc} as `raw LaTeX`_ or in the custom `style sheet`_ will give the expected result (if the text font_ supports small caps). Example 2: Subscript text in normal size and *italic* shape:: .. role:: sub(subscript) As "sub" inherits from the standard "subscript" role, the LaTeX macro only needs to set the size and shape:: \newcommand{\DUrolesub}{\normalsize\itshape} Example 3: A role with several classes and a converted class name:: .. role:: custom4 :class: argI argII arg_3 is translated to the nested commands:: \DUrole{argi}{\DUrole{argii}{\DUrole{arg-3}{<content>}}} With the definitions:: \newcommand{\DUroleargi}[1]{\textsc} \newcommand{\DUroleargii}[1]{{\large #1}} \makeatletter \@namedef{DUrolearg-3}{\textbf} \makeatother in a `style sheet`_\ [#]_ or as `raw LaTeX`_ in the document source, text styled with ``:custom4:`large bold small-caps``` will be typeset accordingly. .. [#] Leave out the ``\makeatletter`` - ``\makeatother`` pair if the style sheet is a LaTeX package (``*.sty``). .. _role directive: ../ref/rst/directives.html#role .. _text roles: ../ref/rst/roles.html .. _class directive: ../ref/rst/directives.html#class definition lists ---------------- ReStructuredText `definition lists`__ correspond to HTML ``<dl>`` list objects. Environment: ``description``: LaTeX standard environment Command: ``\descriptionlabel``: styling macro for the description term Default: bold label text, hanging indent Example: A non-bold label can be achieved with:: \renewcommand\descriptionlabel[1]{\hspace\labelsep \normalfont #1} __ ../ref/rst/restructuredtext.html#definition-lists document class -------------- There are hundreds of LaTeX document classes installed by modern LaTeX distributions, provided by publishers, or available at CTAN_. Popular document classes: * article, report, book: standard document classes * scrartcl, scrrprt, scrbook: KOMA-script_ classes * memoir_: highly configurable class for larger documents Option: documentclass_ .. _KOMA-script: https://ctan.org/pkg/koma-script .. _memoir: https://ctan.org/pkg/memoir .. _documentclass: config.html#documentclass document info ------------- Content of the `bibliographic fields`__ at the top of a document. By default, docinfo items are typeset as a table. Options: use-latex-docinfo_, use-latex-abstract_ Length: ``\DUdocinfowidth``: the width for the `docinfo` table. Default: 90 % of text width: ``0.9\textwidth`` Example: set to 70 % of text width:: \newlength{\DUdocinfowidth} \setlength{\DUdocinfowidth}{0.7\textwidth} __ ../ref/rst/restructuredtext.html#bibliographic-fields .. _use-latex-docinfo: config.html#use-latex-docinfo .. _use-latex-abstract: config.html#use-latex-abstract document title -------------- A lone top-level section title is (usually) transformed to the document title (see `section structure`_). The format of the document title is defined by the `document class`_. The "article" document class uses an in-page title and the "report" and "book" classes write a separate title page. See the `TeX FAQ`_ on how to customize the `style of document titles`_. The default title page shows only title and subtitle, date and author are shown in the `document info`_ table. Options: use-latex-docinfo_ ``--template=titlepage.tex`` Put docinfo and abstract into the title page. A separate title page is used also with the "abstract" document class. .. _section structure: rst/quickref.html#section-structure .. _TeX FAQ: http://www.tex.ac.uk/faq .. _style of document titles: http://www.tex.ac.uk/cgi-bin/texfaq2html?label=titlsty field lists ----------- `Field lists`__ may be used as generic two-column table constructs in documents. Environment: ``DUfieldlist`` Default: Indented description list. Example: Use a description list customized with enumitem_:: \usepackage{enumitem} \newenvironment{DUfieldlist}% {\description[font=,style=sameline,leftmargin=8em]} {\enddescription} } The `KOMA-script`_ classes provide a similar environment under the name `labeling`. .. _enumitem: https://ctan.org/pkg/enumitem __ ../ref/rst/restructuredtext.html#field-lists figure and table captions ------------------------- The caption_ package provides many ways to customise the captions in floating environments like figure and table. The chngcntr_ package helps to configure the numbering of figure and table caption numberings. Some document classes (e.g. KOMA-script_) provide additional configuration. Also see the related `LaTeX FAQ entry`__ Example :: \usepackage{caption} \captionsetup{justification=raggedleft,singlelinecheck=false} .. _caption: https://ctan.org/pkg/caption .. _chngcntr: https://ctan.org/pkg/chngcntr __ http://www.tex.ac.uk/cgi-bin/texfaq2html?label=running-nos figure placement ---------------- Figures_ might be typeset at the place of definition (default) or "float" to a suitable place at the top or bottom of a page. This is implemented using the float_ package. Command: ``\floatplacement`` The placement setting is valid from the point of definition until the next ``\floatplacement`` command or the end of the document. See float.pdf_ for details. Default: ``\floatplacement{figure}{H}`` (here definitely). This corresponds most closely to the source and HTML placement (principle of least surprise). Example 1: In a custom `style sheet`_, set the default to let LaTeX find a suitable place for figure floats:: \usepackage{float} \floatplacement{figure}{htbp} % here, top, bottom, extra-page Example 2: To move all following figures to the top or bottom of the page write in the document source:: .. raw:: latex \floatplacement{figure}{tb} .. _figures: ../ref/rst/directives.html#figure .. _float: https://ctan.org/pkg/float .. _float.pdf: https://mirrors.ctan.org/macros/latex/contrib/float/float.pdf .. _font setup: font ---- The selected text font influences the *look*, the *feel*, and the *readability* of the document (cf. http://www.csarven.ca/web-typography). Selecting a suitable font also solves the problem with `bad looking PDF output`_. Font selection is one of the main differences between LaTeX and XeTeX/LuaTeX: LaTeX cannot use the fonts of the operating system directly but needs specially installed fonts with additional supporting files. XeTeX/LuaTeX can use system fonts and provides access to the full feature set of modern OpenType_ fonts. .. _OpenType: https://en.wikipedia.org/wiki/OpenType The default font setup is done in the latex-preamble_: LaTeX `PDF standard fonts`_ (Times, Helvetica, Courier) XeTeX/LuaTeX `Linux Libertine`_, a free, high quality alternative to Times with a wide coverage of glyphs, styles, and OpenType features. Despite its name, Linux Libertine can be used on any operating system that can handle OpenType fonts. Alternative fonts can be selected by LaTeX a) specifying the corresponding LaTeX package(s) as argument to the stylesheet_ option_ or with the ``\usepackage`` LaTeX command. * packages can be combined, * passing options to a package is only possible in a `style sheet`_ or the `LaTeX preamble`_. b) changing the font-default macros ``\rmdefault``, ``\sfdefault`` and/or ``\ttdefault`` in a custom `style sheet`_, the `LaTeX preamble`_ or `raw LaTeX`_. Example 1: Use `Latin Modern`_. `LaTeX code`_:: \usepackage{lmodern} Command line argument:: --stylesheet=lmodern Example 2: The _`Times/Helvetica/Courier` `PDF standard fonts`_ are selected by the LaTeX code [#]_:: \usepackage{mathptmx} % Times for serif and math \usepackage[scaled=.90]{helvet} % downscaled Helvetica for sans serif \usepackage{courier} % Courier for teletype (mono-space) Since Docutils 0.7, this is the default value of the `latex-preamble`_ option. .. [#] When generating PDF-files from LaTeX, the `PDF standard fonts`_ do not need to be embedded in the document. While this results in smaller files, the actually used fonts on screen and in print might differ! (For details see, e.g., the testflow_ package documentation.) Example 3: Use the teletype font from the txfonts_ package. As there is no package for this, we re-define the font macro with the `LaTeX code`_:: \renewcommand{\ttdefault}{txtt} XeTeX/LuaTeX using the macros of the fontspec_ package. Use some font-viewer or -manager (e.g. fontmatrix_) to find out the correct names of the fonts on your system. Example: DejaVu_, very wide coverage, screen optimized. As this font runs wide, add ``DIV=10`` to the `documentoptions`_:: \setmainfont{DejaVu Serif} \setsansfont{DejaVu Sans} \setmonofont[HyphenChar=None]{DejaVu Sans Mono} .. _fontspec: https://ctan.org/pkg/fontspec .. _fontmatrix: http://fontmatrix.net/ .. _DejaVu: http://dejavu-fonts.org/ .. _documentoptions: config.html#documentoptions choice of suitable fonts ```````````````````````` High quality free fonts suitable for use with XeTeX/LuaTeX are, e.g., listed at `Good Libre Fonts`_, `25 Best Free Quality Fonts`_ and the update `19 More Free Quality Fonts`_. The `LaTeX Font Catalogue`_ provides information and examples for a wide range of fonts available for use with LaTeX. Here is just a selection: a) The `Latin Modern`_ (LM) fonts are extended outline versions of the standard TeX font Computer Modern (CM). +1 simple invocation: ``--stylesheet=lmodern`` +1 keeps the traditional TeX "look and feel": +1 generally accepted as high quality CM replacement, +1 comprehensive math support, +1 including optical sizes, +1 compatible with extensions made to match CM, -1 modern types are hard to read at low (screen) resolutions. -1 not part of a minimal standard TeX installation b) CM-Super_ is another outline CM replacement. +1 simple invocation: modern LaTeX distributions use CM-Super automatically instead of CM if it is installed. -1 said to be of inferior quality compared to LM. -1 not part of a minimal standard TeX installation, bigger download size than Latin Modern (64 MB). c) `Bera`_ (Bitstream Vera) +1 simple invocation: ``--stylesheet=bera`` +1 optimized for on-screen viewing with goot hinting -1 not part of a minimal standard TeX installation d) PSNFSS_ Postscript fonts +1 part of every standard TeX installation +1 smaller PDF/Postscript document size if standard fonts are not embedded -1 restricted set of glyphs in the free versions [#]_ -1 different fonts for roman, sans-serif and typewriter fonts. -1 invocation somewhat more complex, as several packages are required for a complete font set, sometimes including package options. Roman (serif) PSNFSS fonts: Bookman good legibility but very wide. Charter bread-and-butter type optimized for printing on low-resolution printers New Century Schoolbook good legibility but very wide. Palatino +1 recommended by font experts +1 good LaTeX support including matching math fonts, small caps, old-style figures -1 bad rendering in xpdf viewer (auto-hinting leads to different x-hight for different characters at some magnifications) (this is fixed in recent versions). Times +1 the serif `PDF Standard Font`_, -1 overused and quite narrow (devised for multi-column layouts). Utopia recommended by font experts .. table:: Font packages for standard Postscript fonts (cf. `Using common Postscript fonts with LaTeX`_) ========= ============ ============= ============= ========= Package Roman Sans Serif Typewriter Math ========= ============ ============= ============= ========= (none) CM Roman CM Sans Serif CM Typewriter CM Math mathpazo Palatino Palatino mathptmx Times Times helvet Helvetica avant Avant Garde courier Courier chancery Zapf Chancery bookman Bookman Avant Garde Courier newcent New Century Avant Garde Courier Schoolbook charter Charter utopia Utopia fourier Utopia Fourier ========= ============ ============= ============= ========= .. [#] Extended versions of the standard Postscript fonts including accented chars, as well as real small-caps and old-style numbers are available with the `TeX Gyre`_ bundle which is part of, e.g., `TeX Live`_. .. _LaTeX Font Catalogue: http://www.tug.dk/FontCatalogue/ .. _Latin Modern: https://ctan.org/pkg/lm .. _CM-Super: https://ctan.org/pkg/cm-super .. _bera: https://ctan.org/pkg/bera .. _TeX Gyre: http://www.gust.org.pl/projects/e-foundry/tex-gyre .. _PSNFSS: https://ctan.org/pkg/psnfss .. _Using common PostScript fonts with LaTeX: https://mirrors.ctan.org/macros/latex/required/psnfss/psnfss2e.pdf .. _TeX Live: http://tug.org/texlive/ .. _txfonts: https://ctan.org/pkg/txfonts .. _PDF Standard Font: https://en.wikipedia.org/wiki/PDF#Standard_Type_1_Fonts .. _testflow: http://www.tex.ac.uk/tex-archive/help/Catalogue/entries/testflow.html .. _Good Libre Fonts: http://typophile.com/node/18207 .. _25 Best Free Quality Fonts: http://www.alvit.de/blog/article/20-best-license-free-official-fonts .. _19 More Free Quality Fonts: http://www.smashingmagazine.com/2006/10/11/17-more-free-quality-fonts/ font encoding ------------- LaTeX font encodings are described in detail in the encguide_ which is part of the LaTeX base documentation. Option: font-encoding_ Default: "T1" Example 1: Use the (obsolete) LaTeX default encoding "OT1":: --font-encoding=OT1 or (without loading the fontenc_ package):: --font-encoding="" This will improve the look on screen with the default Computer Modern fonts at the expense of problems with `search and text extraction`_ The recommended way is to select a T1-encoded "Type 1" (vector) font, for example `Latin Modern`_ Example 2: Support for characters in the Unicode blocks Latin, Latin-1 Supplement, and Greek together with a T1-encoded "Type 1" (vector) font, for example `Latin Modern`_:: --font-encoding=LGR,T1 --stylesheet=lmodern .. _encguide: https://mirrors.ctan.org/macros/latex/base/encguide.pdf .. _font-encoding: config.html#font-encoding .. _fontenc: https://ctan.org/pkg/fontenc font size --------- Add font size in points to the document options, e.g. ``--documentoptions=12``, use e.g. the document classes provided by extsizes_ for values other than [10,11,12]. .. _extsizes: https://ctan.org/pkg/extsizes footnotes --------- By default, footnotes are set with Docutils-specific wrappers around the standard ``\footnotemark`` and ``\footnotetext`` commands. You can configure the footnote layout similar to standard LaTeX footnotes in a custom `style sheet`_ or the `LaTeX preamble`_. Further configuration is possible by alternative definitions of ``\DUfootnotemark`` and ``\DUfootnotetext`` Example 1: Set footnote text with a hanging indent. * This is the default with KOMA-script_ classes, e.g:: --documentclass=scrartcl (for further configuration, see the `KOMA-script Guide`_), * with package footmisc_:: \usepackage[hang]{footmisc} \setlength{\footnotemargin}{0em} (play with the ``\footnotemargin`` setting), * redefine ``\DUfootnotetext`` inserting `\hangindent`:: \newcommand{\DUfootnotetext}[4]{% \begingroup% \renewcommand{\thefootnote}{% \protect\raisebox{1em}{\protect\hypertarget{#1}{}}% \protect\hyperlink{#2}{#3}}% \footnotetext{\hangindent=2em #4}% \endgroup% } (adapt the ``\hangindent`` value). Example 2: Footnote marks in normal font size, not superscript:: \usepackage{scrextend} % not required with KOMA-script document classes \deffootnote{1em}{1em}{\thefootnotemark\ } (See the `KOMA-script Guide`_ for details and other options.) Example 3: Place the footnote text where it appears in the source document (instead of at the page bottom). This can be used to get the effect of endnotes (needs the hanging_ package):: \usepackage{hanging} \newcommand{\DUfootnotetext}[4]{% \par\noindent\raisebox{1em}{\hypertarget{#1}{}}% \hyperlink{#2}{#3}% \hangpara{\parindent}{1}#4% } .. _footmisc: https://ctan.org/pkg/footmisc .. _hanging: https://ctan.org/pkg/hanging hyphenation ----------- The amount of hyphenation is influenced by ``\hyphenpenalty``, setting it to 10000 almost prevents hyphenation. As this produces lines with more space between words one should increase Latex's ``\tolerance`` for this. Example: :: \hyphenpenalty=5000 \tolerance=1000 hyperlinks ---------- Options: hyperlink-color_, hyperref-options_ Hyperlinks are realized using the hyperref_ package. As it re-defines many standard LaTeX macros, this package is loaded last, *after* the style sheets. However, you can load hyperref before a package that requires its presence in a `style sheet`_ or the `LaTeX preamble`_ (see example below). This will ignore options set with hyperlink-color_ and hyperref-options_. URLs are typeset with the "url" package (loaded implicitly by "hyperref"). The font of URLs can be defined with the ``\urlstyle`` command. Valid arguments are :same: normal text font, Docutils default, :tt: teletype (monospaced), LaTeX default, :rm: roman, :sf: sans serif Example: Custom loading of the hyperref package also switches to the LaTeX default (monospaced fonts for URLs). Reset to use the text font:: \usepackage[unicode,colorlinks=true,linkcolor=green]{hyperref} \urlstyle{same} See also `non-breaking hyperlinks`_. .. _hyperlink-color: config.html#hyperlink-color .. _hyperref-options: config.html#hyperref-options disable hyperlinks `````````````````` To suppress the hyper-linking completely (e.g. for printing or to avoid clashes with other packages), set hyperref-options_ to "draft" or load the "nohyperref" package that comes with the "hyperref" bundle. Option: ``--hyperref-options=draft`` `LaTeX code`_:: \usepackage{nohyperref,url} \urlstyle{same} .. _hyperref: https://ctan.org/pkg/hyperref language -------- The global document language can be set with the language-code_ configuration setting. The language of text parts can be set adding the language tag prefixed by "language-" to an element's classes_ attribute, e.g. ``language-el`` for a Greek text part. .. _language-code: config.html#language-code line blocks ----------- In `line blocks`__, newlines and leading whitespace are respected. Environment: ``DUlineblock``: special list environment for line blocks Length: ``\DUlineblockindent``: indentation of indented lineblock parts. Default: 2.5 times the font height: ``2.5em`` Example: set to the paragraph indentation:: \newlength{\DUlineblockindent} \setlength{\DUlineblockindent}{\parindent} __ ../ref/rst/restructuredtext.html#line-blocks line spacing ------------ Commands: ``\linespread``: for small adjustments ``\singlespacing``, ``\onehalfspacing``, and ``\doublespacing``: from package `setspace` Example 1: Get document wide double spacing:: \usepackage{setspace} \doublespacing Example 2: Increase line spacing by five percent for better readability:: \linespread{1.05} literal blocks -------------- No markup processing is done within a `literal block`__. It is left as-is, and is typically rendered in a monospaced typeface Option: literal-block-env_ Example: ``--literal-block-env=lstlisting`` The ``lstlisting`` environment is highly configurable (as documented in listings.pdf_) and provides syntax highlight for many programming languages, for instance :: \renewcommand{\ttdefault}{txtt} \lstset{language=Python, morekeywords=[1]{yield}} \lstloadlanguages{Python} \lstset{ basicstyle=\ttfamily, keywordstyle=\bfseries, commentstyle=\rmfamily\itshape, stringstyle=\slshape, } \lstset{showstringspaces=false} \lstset{columns=fullflexible, basewidth={0.5em,0.4em}} and to get LaTeX syntax highlight for a code block with "listings":: \lstloadlanguages{[LaTeX]TeX} % comma separated list of languages \newcommand{\DUCLASSlatex}{\lstset{language=[LaTeX]TeX}} The indentation of literal blocks can be reset with :: \lstset{resetmargins=true} and/or configured with e. g.:: \lstset{xleftmargin=-2em} __ ../ref/rst/restructuredtext.html#literal-blocks .. _literal-block-env: config.html#literal-block-env .. _listings.pdf: https://mirrors.ctan.org/macros/latex/contrib/listings/listings.pdf lists ----- Remove extra vertical whitespace between items of bullet lists and enumerated lists. Example: Pass the class argument "compact" to the list:: .. class:: compact * first item * second item The following lines for the `LaTeX preamble`_ use the enumitem_ package to remove spacing from all lists with class argument "compact":: \usepackage{enumitem} \newcommand*{\DUCLASScompact}{\setlist{noitemsep}} list of figures/tables ---------------------- Docutils does not support lists of figures or tables. However, with LaTeX, they can be generated using `raw LaTeX`_ in the document source. Commands: ``\listoffigures``: a list of figures ``\listoftables``: a list of tables Example: :: .. raw:: latex \listoffigures option list ----------- `Option lists`__ are two-column lists of command-line options and descriptions, documenting a program's options. Environment: ``DUoptionlist``: environment for option lists, Command: ``\DUoptionlistlabel``: set appearance of the options Example: set command options with a bold monospace font:: \newcommand{\DUoptionlistlabel}{\texttt{\textbf{#1}} \hfill} __ ../ref/rst/restructuredtext.html#option-lists page breaks ----------- * Page breaks before top-level sections are the default with a documentclass that provides "chapters", e.g. "book", "memoir" or "scrbook". * Redefining the \section or \section* command in a style sheet is possible too. * `Raw LaTeX`_ or a `custom role`_ can be used. * The transition element can be re-defined to produce a page break, Commands ``\newpage``: hard pagebreak at exactly this position ``\pagebreak[2]``: recommended page break after line end (precedence 1...4) Example: Define the transition command as page break with the `LaTeX code`_:: \newcommand*{\DUtransition}{\pagebreak[4]} (use ``\renewcommand`` with `raw LaTeX`_). page layout ----------- By default, paper size and margin settings are determined by the document class. The following packages help to configure the page layout: a) The `typearea`_ package (part of the `KOMA-script`_ bundle) calculates a *good* page layout (based on rules and recommendations of typography experts). See the `KOMA-Script Guide`_ for details on what is a *good* layout and how this is achieved. b) The `geometry`_ package is recommended if you have to follow guidelines with fixed values for the margins. For details see the `geometry manual`_. Example 1: Let `typearea` determine the type area with ``DIV=calc`` in the documentoptions:: --documentoptions='a4paper,DIV=calc' The ``DIV`` option can also be specified, like ``DIV=10``. It defines how "crowded" a page will be: larger values mean larger text area (at the expense of readability). Example 2: `LaTeX code`_ to set margins with the geometry_ package:: \usepackage{geometry} \geometry{hmargin={3cm,0.8in},height=8in} \geometry{height=10in}. .. _typearea: https://ctan.org/pkg/typearea .. _geometry: https://ctan.org/pkg/geometry .. _KOMA-Script Guide: https://mirrors.ctan.org/macros/latex/contrib/koma-script/doc/scrguien.pdf .. _geometry manual: https://mirrors.ctan.org/macros/latex/contrib/geometry/geometry.pdf page headers and footers ------------------------ With the fancyhdr_ package or the `KOMA-script`_ classes, you can define custom page head- and foot-lines. The `"header" and "footer" directives`_ save their content in the macros ``\DUheader`` rsp. ``\DUfooter``. The macros can be used in LaTeX code and will be replaced by LaTeX with the content of the directives. Example: `LaTeX code`_ to place left-aligned "header" and "footer" on every page with fancyhdr_:: \usepackage{fancyhdr} \fancyhead[L]{\DUheader} \fancyfoot{} % reset \fancyfoot[L]{\DUfooter} \pagestyle{fancy} .. _fancyhdr: http://www.ctan.org/pkg/fancyhdr .. _"header" and "footer" directives: ../ref/rst/directives.html#header page numbering -------------- Example: Number pages by chapter (using the chappg_ package):: \usepackage{chappg} See the `chappg documentation`_ for details. .. _chappg: https://ctan.org/pkg/chappg .. _chappg documentation: https://mirrors.ctan.org/macros/latex/contrib/chappg/chappg.pdf paper size ---------- Paper geometry can be changed using ``--documentoptions`` or with the `geometry`_ package. `LaTeX code`_:: \usepackage{geometry} \geometry{OPTIONLIST} Default: a4paper Some possibilities: * a4paper, b3paper, letterpaper, executivepaper, legalpaper * landscape, portrait, twoside. Example: Choose A5 pager in landscape orientation with command line argument:: --documentoptions=a5paper,landscape The same with LaTeX commands in the `style sheet`_:: \usepackage{geometry} \geometry{a5paper,landscape} For details see the `geometry manual`_. paragraph indent ---------------- Default (in most document classes): Indent the first line in a paragraph unless it is the first line of a chapter, section, subsection, or subsubsection. Example 1: To set paragraph indentation to zero but add a vertical space between load the `parskip` package with the command line argument:: --stylesheet=parskip or in a custom `style sheet`_ with:: \usepackage{parskip} Example 2: To suppress the indentation of a specific paragraph, you may give it the class "noindent" with, e.g. :: .. class:: noindent This paragraph should not be indented. and define the `custom role`_ command:: \newcommand{\DUrolenoindent}[1]{\noindent #1} rubric ------ A rubric__ is like an informal heading that doesn't correspond to the document's structure. Command: ``\DUrubric`` Default: subsubsection style (unnumbered), italic Example1: Set centred and red:: \newcommand*{\DUrubric}[1]{% \subsubsection*{\centerline{\color{red}#1}}} .. note:: Class attribute values are ignored because the "classes_ wrapper" interferes with LaTeX's formatting (spacing/indentation) of text following a section heading. Consider using a `topic element`_ or a container_. __ ../ref/rst/directives.html#rubric .. _container: ../ref/rst/directives.html#container section headings ---------------- Options: documentclass_, use-part-section_ Section headings are converted into LaTeX macros according to their level, the document class and the value of the use-part-section_ setting: ===== ============= ================== ============= ============== Level article article with part book [#]_ book with part ===== ============= ================== ============= ============== 1 section part chapter part 2 subsection section section chapter 3 subsubsection subsection subsection section 4 paragraph subsubsection subsubsection subsection 5 subparagraph paragraph paragraph subsubsection 6 DUtitle subparagraph subparagraph paragraph 7 DUtitle DUtitle DUtitle subparagraph ===== ============= ================== ============= ============== .. [#] One of the document classes 'book', 'memoir', 'report 'scrbook', or 'scrreprt'. .. _use-part-section: config.html#use-part-section section numbering ----------------- Sections are numbered if there is a `sectnum directive`_ in the document. Option: sectnum_xform_ ``--section-numbering``, ``--no-section-numbering`` If sectnum_xform_ is False, section numbers are generated by LaTeX. In this case the "prefix" and "suffix" arguments of the `sectnum directive`_ are ignored. The section number style is determined by the `document class`_ and can be configured in a LaTeX `style sheet`_, e.g.:: \setcounter{secnumdepth}{5} .. note:: The LaTeX name is 'secnumdepth' (without 't'). .. _sectnum directive: ../ref/rst/directives.html#sectnum .. _sectnum_xform: config.html#sectnum-xform sidebar ------- Sidebars__ are like miniature, parallel documents that occur inside other documents, providing related or reference material. They can be likened to super-footnotes; their content is outside of the flow of the document's main text. Command: ``DUsidebar`` Default: Box with grey background. Example: Use margin notes:: \newcommand{\DUsidebar}[1]{\marginpar{\flushleft #1}} * Make sure the margin is wide enough to hold the note. * This fails with some constructs inside the `side bar` and where \marginpar cannot be used, e.g., inside floats, footnotes, or in frames made with the framed package (see marginnote_). __ https://docutils.sourceforge.io/docutils/docs/ref/rst/directives.html#sidebar size of a pixel --------------- The *physical size* of a pixel depends on the resolution of the output device and is usually specified in *dots per inch* (DPI). The *length unit* "px" is defined by the output format. For LaTeX, it is `defined in pdfTeX and LuaTeX`__ (the `xetex` writer emulates this definition). Default: 72 DPI, i.e. 1 px = 1/72 in. [#]_ Example: Set the value to match the CSS definition with the `LaTeX code`_:: \pdfpxdimen=1in \divide\pdfpxdimen by 96 % 1/96 inch .. [#] The `CSS length unit ``px```_ defaults to 1/96 inch. __ https://tex.stackexchange.com/questions/41370/ what-are-the-possible-dimensions-sizes-units-latex-understands .. _CSS length unit ``px``: https://www.w3.org/TR/css-values-3/#px .. _reference pixel: https://www.w3.org/TR/css-values-3/#reference-pixel table style ------------ A pre-configured *table style* can be globally selected via the table_style_ setting or set for individual tables via a `class directive`_ or the class option of the `table directive`_. Supported values: standard Borders around all cells. booktabs A line above and below the table and one after the head. borderless No borders. colwidths-auto Column width determination by LaTeX. Overridden by the `table directive`_'s "widths" option. .. warning:: ``colwidths-auto`` is only suited for tables with simple cell content. LaTeX puts the content of auto-sized columns on one line (merging paragraphs) and may fail with complex content. .. eventually in future align-left, align-center, align-right Align tables. By default, *column widths* are computed from the source column widths. The `legacy_column_widths`_ setting selects the conversion algorithm. Custom column widths can be set with the "widths" option of the `table directive`_. See also the section on problems with tables_ below. .. _new_column_widths: .. _legacy_column_widths: config.html#legacy-column-widths .. _table_style: config.html#table-style-latex-writers .. _"widths" option: .. _table directive: ../ref/rst/directives.html#table table of contents ----------------- A `contents directive`_ is replaced by a table of contents (ToC). Option: use-latex-toc_ ``--use-latex-toc``, ``--use-docutils-toc`` With use-latex-toc (default since release 0.6): * The ToC is generated by LaTeX (via the ``\tableofcontents`` command). The layout depends on the chosen document class and can be configured in a custom `style sheet`_ (see e.g. the `KOMA-Script Guide`_ for the `KOMA-script`_ classes). * The depth of the ToC and PDF-bookmarks can be configured + with the "depth" argument of the `contents directive`_, or + in a style sheet with e.g. ``\setcounter{tocdepth}{5}``. * Local ToCs are done with the minitoc_ package. See the `minitoc documentation`_ for the numerous configuration options. .. note:: Minitoc supports local ToCs only at "part" and top section level ("chapter" or "section"). Local `contents` directives at lower levels are ignored (a warning is issued). This is an intended feature of the minitoc_ package. If you really require local ToCs at lower level, turn off the use-latex-toc_ option. .. _use-latex-toc: config.html#use-latex-toc .. _contents directive: ../ref/rst/directives.html#contents .. _minitoc: https://ctan.org/pkg/minitoc .. _minitoc documentation: https://mirrors.ctan.org/macros/latex/contrib/minitoc/minitoc.pdf title reference role -------------------- `Title reference`_ is the default `default role`_ for `interpreted text`_. Command: ``\DUroletitlereference`` Default: use slanted font (``\textsl``) Example: set title references with a bold monospace font:: \newcommand{\DUroletitlereference}[1]{\texttt{\textbf{#1}}} .. _title reference: ../ref/rst/roles.html#title-reference .. _default role: ../ref/rst/directives.html#setting-the-default-interpreted-text-role .. _interpreted text: ../ref/rst/restructuredtext.html#interpreted-text titles ------ The titles of admonitions_, sidebar_, and `topic element`_ use the ``\DUtitle`` command. Example 1: a centered and somewhat larger title for topcis:: \newcommand*{\DUCLASStopic}{ \renewcommand*{\DUtitle}[1]{\subsection*{\centering #1} } Example 2: a right-pointing hand as title for the "attention" directive:: \usepackage{pifont} \newcommand*{\DUCLASSattention}{ \renewcommand*{\DUtitle}[1]{\ding{43}} } The title argument is "swallowed" by the command. To have both, hand and title use:: \usepackage{pifont} \newcommand*{\DUCLASSattention}{ \newcommand*{\DUtitle}[1]{\ding{43} #1} } text encoding ------------- The encoding of the LaTeX source file is Docutils' *output* encoding but LaTeX' *input* encoding. Option: output-encoding_ ``--output-encoding=OUTPUT-ENCODING`` Default: "utf-8" Example: Encode the LaTeX source file with the ISO `latin-1` (west european) 8-bit encoding (the default in Docutils versions up to 0.6.):: --output-encoding=latin-1 Note: 8-bit LaTeX comes with two options for UTF-8 support, :utf8: by the standard `inputenc`_ package with only limited coverage (mainly accented characters). :utf8x: supported by the `ucs`_ package covers a wider range of Unicode characters than does "utf8". It is, however, a non-standard extension and no longer developed. Currently, the "latex2e" writer inserts ``\usepackage[utf8]{inputenc}`` into the LaTeX source if it is UTF-8 encoded. .. with utf8x: If LaTeX issues a Warning about unloaded/unknown characters adding :: \PreloadUnicodePage{n} (where *n* is the Unicode page-number) to the style sheet might help. .. _LaTeX Unicode: http://www.unruh.de/DniQ/latex/unicode/ .. _output-encoding: config.html#output-encoding .. _inputenc: https://ctan.org/pkg/inputenc .. _ucs: https://ctan.org/pkg/unicode topic element ------------- A topic_ is like a block quote with a title, or a self-contained section with no subsections. Topics and rubrics can be used at places where a `section title`_ is not allowed (e.g. inside a directive). Example: Use a standard paragraph for a topic:: \newcommand{\DUCLASStopic}{% \renewenvironment{quote}{}{}% } .. _topic: ../ref/rst/directives.html#topic .. _section title: ../ref/rst/restructuredtext.html#sections transition element ------------------ Transitions__ are commonly seen in novels and short fiction, as a gap spanning one or more lines, marking text divisions or signaling changes in subject, time, point of view, or emphasis. Command: ``\DUtransition`` Default: A horizontal line, 1/3 of text width Example 1: Use three stars:: \newcommand*{\DUtransition}{\centering{}*\quad*\quad*} Alternatively use the more elaborated version in `transition-stars.sty`_. Example 2: If paragraphs are separated by indentation, you can simply use a vertical space:: \newcommand*{\DUtransition}{\vspace{2ex}} __ https://docutils.sourceforge.io/docutils/docs/ref/rst/restructuredtext.html#transitions .. _transition-stars.sty: ../../../sandbox/stylesheets/transition-stars.sty Changes ======= * The Docutils HISTORY_ lists all changes during the history of docutils. Important changes are summarized in the RELEASE-NOTES_. .. _HISTORY: ../../HISTORY.html .. _RELEASE-NOTES: ../../RELEASE-NOTES.html Problems ======== Troubleshooting --------------- Bad looking PDF output `````````````````````` What I am looking for when I try Docutils is if the PDF files I can get are of high quality. Unfortunately that never is the case. So am I just stupid or is there a way to get really high quality pdf from Docutils? Make sure the default font is not a bitmap font. There is `Latin Modern`_ if you like the look of the standard font on paper, but want nice pdf. Or select something else like Times, Palatino, ... via configuration `options/settings`_. See font_ and font-encoding_. footnote mark and text at different pages ````````````````````````````````````````` Docutils stores the footnote text in a separate node, at the position where it is specified in the input document. With the default settings, the footnote is put at the bottom of the page where the footnote text is located, maybe far away from the footnote mark (see e.g. `<rst/demo.txt>`_). To get footnote mark and text at the same page, keep footnote mark and footnote text close together. non-breaking hyperlinks ``````````````````````` If you convert with ``latex`` (as opposed to ``pdflatex``), hyperlinks will not wrap and sometimes stick into the margin. Wrong: :: \usepackage[breaklinks=true]{hyperref} "breaklinks" is an internal option that indicates whether the chosen driver can handle split links. (It might work to *disable* link breaking.) Right: Use one of the following: a) compile with pdflatex_, b) use the package breakurl_, c) (for printout) `disable hyperlinks`_ using the package "nohyperref". See also the `Link text doesn’t break at end line`_ LaTeX FAQ entry. .. _breakurl: https://ctan.org/pkg/breakurl .. _Link text doesn’t break at end line: http://www.tex.ac.uk/cgi-bin/texfaq2html?label=breaklinks Glyph not defined in PD1 encoding ````````````````````````````````` If a section title or other link contains non-Latin (e.g. Cyrillic) characters, the LaTeX log contains lots of warnings like:: Package hyperref Warning: Glyph not defined in PD1 encoding, (hyperref) removing `\CYRZ' on input line 6. ... This can be solved with the "unicode" hyperref_option_ setting:: --hyperref-option=unicode (works also with non-unicode input/output encoding (e.g. "koi8r" or "latin1"). Newer versions of hyperref default to "unicode=true". .. _hyperref_option: config.html#stylesheet-latex-writers image inclusion ``````````````` Images__ are included in LaTeX with the help of the `graphicx` package. The supported file formats depend on the used driver: * pdflatex_, lualatex, and xelatex_ work with PNG, JPG, or PDF, but **not EPS**. * Standard latex_ can include **only EPS** graphics, no other format. * latex + dvipdfmx works with EPS and JPG (add 'dvipdfmx' to the documentoptions_ or graphicx-option_ setting and 'bmpsize' to the stylesheet_ setting). If PDF-image inclusion in PDF files fails, specifying ``--graphicx-option=pdftex`` might help. For details see grfguide.pdf_. The Rubber_ wrapper can be used for automatic image conversion. Docutils expects an URI as pointer to the image file. The latex writer transforms this URI to a local path. By default, LaTeX does not accept spaces and more than one dot in the filename. If using "traditional" filenames is not an option, adding grffile_ to the `style sheets`_ can help. __ ../ref/rst/directives.html#images .. _grfguide.pdf: https://mirrors.ctan.org/macros/latex/required/graphics/grfguide.pdf .. _grffile: https://ctan.org/pkg/grffile .. _graphicx-option: config.html#graphicx-option Why are my images too big? `````````````````````````` HTML-browsers use the actual screen resolution (usually around 100 DPI). The CSS specification suggests: It is recommended that the reference pixel be the visual angle of one pixel on a device with a pixel density of 96 DPI and a distance from the reader of an arm's length. -- https://www.w3.org/TR/CSS2/syndata.html#length-units This is why pixmap images without size specification or objects with a size specified in ``px`` tend to come too large in the PDF. Solution: Specify the image size in fixed units (``pt``, ``cm``, ``in``) or configure the `size of a pixel`_ (length unit px). Error ``illegal unit px`` ````````````````````````` If you convert the LaTeX source with a legacy program, you might get this error. The unit "px" was introduced by the `pdfTeX` converter on 2005-02-04. `pdfTeX` is used also for conversion into DVI format in all modern LaTeX distributions (since ca. 2006). If updating LaTeX is not an option, just remove the "px" from the length specification. HTML/CSS will default to "px" while the `latexe2` writer will add the fallback unit "bp". Error ``Symbol \textcurrency not provided`` ... ``````````````````````````````````````````````` The currency sign (\\u00a4) is not supported by all fonts (some have an Euro sign at its place). You might see an error like:: ! Package textcomp Error: Symbol \textcurrency not provided by (textcomp) font family ptm in TS1 encoding. (textcomp) Default family used instead. (which in case of font family "ptm" is a false positive). Add either :warn: turn the error in a warning, use the default symbol (bitmap), or :force,almostfull: use the symbol provided by the font at the users risk, to the document options or use a different font package. Warning: language … not supported ````````````````````````````````` The "latex" writer uses the LaTeX package Babel_ and the "xetex" writer uses Polyglossia_ for language_ support (hyphenation rules, auto-text localisations and typographic rules). Polyglossia_ supports more languages, so switching to the "xetex_" writer may help. For short quotes or if language support is provided by the user via other `LaTeX document classes and packages`_, the warning can be ignored. .. _Babel: https://ctan.org/pkg/babel .. _Polyglossia: https://ctan.org/pkg/polyglossia Search and text extraction `````````````````````````` Search for text that contains characters outside the ASCII range might fail. See font_ and `font encoding`_ (as well as `Searching PDF files`_ for background information). It may help to load the `cmap` package (via `style sheets`_ or the custom `LaTeX preamble`_ (see also `Proper use of cmap and mmmap`_). .. _Searching PDF files: http://www.tex.ac.uk/cgi-bin/texfaq2html?label=srchpdf .. _Proper use of cmap and mmmap: https://tex.stackexchange.com/questions/64409/proper-use-of-cmap-and-mmap Unicode box drawing and block characters ```````````````````````````````````````` The easiest solution is to use xelatex_ for `PDF generation`_. With "traditional" TeX engines (e.g. pdflatex_): - Generate LaTeX code with `output-encoding`_ "utf-8". - Add the pmboxdraw_ package to the `style sheets`_. (For shaded boxes also add the `color` package.) Unfortunately, this defines only a subset of the characters (see pmboxdraw.pdf_ for a list). .. _pmboxdraw: https://ctan.org/pkg/pmboxdraw .. _pmboxdraw.pdf: https://mirrors.ctan.org/macros/latex/contrib/pmboxdraw/pmboxdraw.pdf Bugs and open issues -------------------- Open to be fixed or open to discussion. See also the entries in the `Docutils TODO list`_, the BUGS_ documentation and the `SourceForge Bug Tracker`_. .. _Docutils TODO list: ../dev/todo.html#latex-writer .. _bugs: ../../BUGS.html .. _SourceForge Bug Tracker: https://sourceforge.net/p/docutils/bugs/ Footnotes and citations ``````````````````````` Initially both were implemented using figure floats, because hyperlinking back and forth seemed to be impossible. Later the `figure` directive was added that puts images into figure floats. This results in footnotes, citations, and figures possibly being mixed at page foot. Workaround: Select citation handling with the use_latex_citations_ option. If ``use-latex-citations`` is used, a bibliography is inserted right at the end of the document. *This should be customizable*. If ``use-latex-citations`` is used adjacent citation references (separated only by a single space or a newline) are combined to a single citation group, i.e. ``[cite1]_ [cite2]_`` results in ``\cite{cite1,cite2}``. The appearance in the output can be configured in a `style sheet`_. .. _use_latex_citations: config.html#use-latex-citations Tables `````` * Too wide tables (cf. `bug #422`_): Try the new_column_widths_ algorithm or use the `"widths" option`_ to manually set the table column widths. * Table cells with both multirow and multicolumn are currently not possible. .. _bug #422: https://sourceforge.net/p/docutils/bugs/422/ Figures ``````` * Figures are always as wide as the containing text. The "figwidth" argument is currently not supported. As a consequence, the "align" argument has no effect. * Wrapping text around figures is currently not supported. (Requires the `wrapfig`_ package.) .. _wrapfig: https://ctan.org/pkg/wrapfig Miscellaneous ````````````` * Pdfbookmark level 4 (and greater) does not work (might be settable but complicated). * Hyperlinks are not hyphenated; this leads to bad spacing. See docs/user/rst/demo.txt 2.14 directives. * Pagestyle headings does not work, when sections are starred. Use LaTeX for the section numbering with the `options/settings`_ ``--no-section-numbers`` (command line) or ``sectnum_xform: False`` (config file). �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/user/links.txt�������0000664�0000000�0000000�00000036323�15141625651�0032470�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������===================== Docutils_ Link List ===================== :Author: Lea Wiemann, the Docutils team :Contact: docutils-develop@lists.sourceforge.net :Revision: $Revision$ :Date: $Date$ :Copyright: This document has been placed in the public domain. .. title:: Docutils Links .. contents:: This document contains links users of Docutils and reStructuredText may find useful. Many of the projects listed here are hosted in the `Docutils Sandbox`_. If you have something to publish, you can get write access, too! The most current version of this link list can always be found at https://docutils.sourceforge.io/docs/user/links.html. .. _Docutils: https://docutils.sourceforge.io/ .. _Docutils Sandbox: https://docutils.sourceforge.io/sandbox/README.html Editors ------- Advanced text editors with reStructuredText support, IDEs, and docutils GUIs: * Emacs `rst mode <https://docutils.sourceforge.io/tools/editors/emacs>`__. * `Vim <https://www.vim.org/index.php>`__: - `reStructuredText syntax highlighting mode <https://www.vim.org/scripts/script.php?script_id=973>`__, - `VST <https://www.vim.org/scripts/script.php?script_id=1334>`__ (Vim reStructuredText) plugin for Vim7 with folding. - `VOoM <https://www.vim.org/scripts/script.php?script_id=2657>`__ plugin for Vim that emulates two-pane outliner with support for reStructuredText (since version 4.0b2). - `Riv: Take notes in rst <https://github.com/Rykka/riv.vim>`__ Vim plugin to take notes in reStructured text. * `reStructuredText Language Support for Visual Studio Code`__ __ https://github.com/vscode-restructuredtext/vscode-restructuredtext * `reStructuredText editor plug-in for Eclipse`__ __ http://resteditor.sourceforge.net/ * `JED <https://www.jedsoft.org/jed/>`__ programmers editor with `rst mode <httpss://jedmodes.sourceforge.io/mode/rst/>`__ * Gnome's gedit offers syntax highlighting and a reST preview pane. Latest version of the plugin is available from `bittner @ github`_ (See also: `Gedit third party plugins`__). .. _bittner @ github: https://github.com/bittner/gedit-reST-plugin __ https://wiki.gnome.org/Apps/Gedit/ThirdPartyPlugins-v3.8 * Gunnar Schwant's DocFactory_ is a wxPython GUI application for Docutils. .. _DocFactory: https://docutils.sourceforge.io/sandbox/gschwant/docfactory/doc/ * ReSTedit_ by Bill Bumgarner is a Docutils GUI for Mac OS X. .. _ReSTedit: https://svn.red-bean.com/restedit/trunk/README.html * `ReText <https://pypi.org/project/ReText/>`_ is a simple but powerful editor for Markdown and reStructuredText markup languages. It is written in Python using PyQt libraries. * Leo_ is an outliner_, written in Python using PyQt. It can be used as IDE for literal programming, as a filing cabinet holding any kind of data and as `document editor`__ with outlines containing reStructuredText markup. .. _Leo: https://leoeditor.com/ .. _outliner: https://en.wikipedia.org/wiki/Outliner __ https://leoeditor.com/tutorial-rst3.html * `NoTex <https://notex.ch>`_ is a browser-based reStructuredText editor with syntax highlighting and PDF/HTML export functionality using Sphinx. * `rsted <https://github.com/anru/rsted>`_ is a "simple online editor for reStructuredText on Flask". You can try it on http://rst.ninjs.org/ Export ------ Projects providing additional export routes. PDF ``` * `rst2pdf (reportlab)`__ is a tool to go directly from reStructuredText to PDF, via ReportLab__. No LaTeX installation is required. __ https://pypi.org/project/rst2pdf/ __ https://pypi.org/project/reportlab/ * `rst2pdf (pdflatex)`__ by Martin Blais is a minimal front end producing LaTeX, compiling the LaTeX file, getting the produced output to the destination location and finally deleting all the messy temporary files that this process generates. __ https://docutils.sourceforge.io/sandbox/blais/rst2pdf/ * `rst2pdf (rubber)`__ is a front end for the generation of PDF documents from a reStructuredText source via LaTeX in one step cleaning up intermediate files. It uses the rubber__ Python wrapper for LaTeX and friends. __ https://docutils.sourceforge.io/sandbox/rst2pdf/README.html __ https://launchpad.net/rubber * rlpdf_ is another PDF Writer based on ReportLabs. .. _rlpdf: https://docutils.sourceforge.io/sandbox/dreamcatcher/rlpdf/ * RinohType_ is a pure Python PDF Writer based on a document template and a style sheet (beta). .. _RinohType: https://pypi.python.org/pypi/RinohType website generators and HTML variants ```````````````````````````````````` * The Sphinx_ Python Documentation Generator by Georg Brandl was originally created to translate the `Python documentation`_. In the meantime, there is a wide range of `Projects using Sphinx`__ It can generate complete web sites (interlinked and indexed HTML pages), ePub, LaTeX, and others from a set of rST source files. .. _Sphinx: https://www.sphinx-doc.org __ https://www.sphinx-doc.org/en/master/examples.html * The Nikola_ static site generator, uses reStructuredText by default. .. _nikola: https://getnikola.com/ * Pelican_ is a static site generator (mainly for blogs). Articles/pages can be written in reStructuredText or Markdown_ format. .. _pelican: https://docs.getpelican.com * tinkerer_ is a static bloggin framework based on Sphinx_. .. _tinkerer: https://pypi.org/project/Tinkerer/ * htmlnav_ by Gunnar Schwant, is an HTML writer which supports navigation bars. .. _htmlnav: https://docutils.sourceforge.io/sandbox/gschwant/htmlnav/ * rest2web, by Michael Foord, is a tool for creating web sites with reStructuredText. Development stalled, there is a fork at https://gitlab.com/wavexx/rest2web * `html4trans <https://docutils.sourceforge.io/sandbox/html4trans/>`__ produces XHTML conforming to the version 1.0 Transitional DTD that contains enough formatting information to be viewed by a lightweight HTML browser without CSS support. * A `simple HTML writer`_ by Bill Bumgarner that doesn't rely on CSS stylesheets. .. _simple HTML writer: https://docutils.sourceforge.io/sandbox/bbum/DocArticle/ ePub ```` * rst2epub2_ by Matt Harrison includes the epublib (originally by Tim Tambin) and a rst2epub.py executable for the conversion. .. _rst2epub2: https://github.com/mattharrison/rst2epub2 * Sphinx_ provides ePub as output option, too. Others `````` * Pandoc_ is a document converter that can write Markdown_, reStructuredText, HTML, LaTeX, RTF, DocBook XML, and S5. .. _Pandoc: https://pandoc.org/ * restxsl_ by Michael Alyn Miller, lets you transform reStructuredText documents into XML/XHTML files using XSLT stylesheets. .. _restxsl: http://www.strangeGizmo.com/products/restxsl/ * An `XSLT script`__ by Ladislav Lhotka enables reStructuredText annotations to be included in RELAG NG XML schemas. __ https://www.cesnet.cz/doc/techzpravy/2006/rngrest/ * `DocBook Writer`_ by Oliver Rutherfurd. .. _DocBook Writer: https://docutils.sourceforge.io/sandbox/oliverr/docbook/ * Nabu_, written by Martin Blais, is a publishing system which extracts information from reStructuredText documents and stores it in a database. Python knowledge is required to write extractor functions and to retrieve the data from the database again. .. _Nabu: https://github.com/blais/nabu * The `pickle writer`_ by Martin Blais pickles the document tree to a binary string. Later unpickling will allow you to publish with other Writers. .. _pickle writer: https://docutils.sourceforge.io/sandbox/blais/pickle_writer/ * The `Texinfo Writer`_, by Jon Waltman converts reStructuredText to Texinfo, the documentation format used by the GNU project and the Emacs text editor. Texinfo can be used to produce multiple output formats, including HTML, PDF, and Info. .. _Texinfo Writer: https://docutils.sourceforge.io/sandbox/texinfo-writer/README.html * For `confluence CMS`_ see https://github.com/netresearch/rst2confluence. .. _confluence CMS: https://www.atlassian.com/software/confluence * Deploying into wikis might be aided by deploy-rst_. .. _deploy-rst: https://github.com/netresearch/deploy-rst Import ------ Convert other formats to reStructuredText: * recommonmark_ is a Markdown_ (CommonMark_) parser for docutils originally created by Luca Barbato. Docutils "markdown" parser (new in Docutils 0.17) is a wrapper around recommonmark. .. _recommonmark: https://github.com/rtfd/recommonmark .. _Markdown: https://daringfireball.net/projects/markdown/syntax .. _CommonMark: https://commonmark.org/ * sxw2rest_, by Trent W. Buck, converts StarOffice XML Writer (SXW) files to reStructuredText. (link down) .. _sxw2rest: https://twb.ath.cx/~twb/darcs/sxw2rest/ * xml2rst_, an XSLT stylesheet written by Stefan Merten, converts XML dumps of the document tree (e.g. created with rst2xml.py) back to reStructuredText. .. _xml2rst: http://www.merten-home.de/FreeSoftware/xml2rst/index.html * xhtml2rest_, written by Antonios Christofides, is a simple utility to convert XHTML to reStructuredText. .. _xhtml2rest: https://docutils.sourceforge.io/sandbox/wiemann/xhtml2rest/ * DashTable_ by Gustav Klopp converts HTML tables into reStructuredText. Colspan and Rowspan supported! .. _DashTable: https://github.com/gustavklopp/DashTable * Sphinx_ includes a `LaTeX to Rst converter <https://svn.python.org/projects/doctools/converter/>`__ in its source code (trimmed to importing the old Python docs). * Pandoc_ can read Markdown_ and (subsets of) HTML, and LaTeX and export to (amongst others) reStructuredText. * PySource_, by Tony Ibbs, is an experimental Python source Reader. There is some related code in David Goodger's sandbox (pysource_reader_) and a `Python Source Reader`_ document. .. _PySource: https://docutils.sourceforge.io/sandbox/tibs/pysource/ .. _pysource_reader: https://docutils.sourceforge.io/sandbox/davidg/pysource_reader/ .. _Python Source Reader: https://docutils.sourceforge.io/docs/dev/pysource.html Extensions ---------- Extend the reStructuredText syntax or the features of Docutils. More extensions are in the `Docutils Sandbox`_. * Beni Cherniavsky has written a generic `preprocessing module`_ for roles and/or directives and built preprocessors for TeX math for both LaTeX and HTML output on top of it. .. _preprocessing module: https://docutils.sourceforge.io/sandbox/cben/rolehack/ * Beni Cherniavsky maintains a Makefile_ for driving Docutils, hoping to handle everything one might do with Docutils. .. _Makefile: https://docutils.sourceforge.io/sandbox/cben/make/ * The `ASCII art to SVG converter`_ (aafigure) developed by Chris Liechti can parse ASCII art images, embedded in reST documents and output an image. This would mean that simple illustrations could be embedded as ASCII art in the reST source and still look nice when converted to e.g. HTML .. _ASCII art to SVG converter: https://docutils.sourceforge.io/sandbox/cliechti/aafigure/ * Quick and easy publishing reStructuredText source files as blog posts on blogger.com is possible with `rst2blogger`_ . .. _rst2blogger: https://github.com/dhellmann/rst2blogger#readme Related Applications -------------------- Applications using docutils/reStructuredText and helper applications. * For Wikis, please see the `FAQ entry about Wikis`_. * For Blogs (Weblogs), please see the `FAQ entry about Blogs`_. * `Project Gutenberg`_ uses Docutils for its "ebookmaker_" xetex, nroff, and epub generator (with some `extensions to rST`__). __ http://pgrst.pglaf.org/publish/181/181-h.html * Text-Restructured_ at CPAN is a set of modules to parse reStructuredText documents and output them in various formats written in Perl_. Up to January 2021, the sources were stored in the Docutils repository_. After long inactivity (the last commit was r6498__ 2010-12-08), ``trunk/prest/`` was moved to the attic. __ https://sourceforge.net/p/docutils/code/6498/ .. _FAQ entry about Wikis: http://docutils.sf.net/FAQ.html #are-there-any-wikis-that-use-restructuredtext-syntax .. _FAQ entry about Blogs: https://docutils.sourceforge.io/FAQ.html #are-there-any-weblog-blog-projects-that-use-restructuredtext-syntax .. _Project Gutenberg: http://www.gutenberg.org .. _ebookmaker: https://pypi.org/project/ebookmaker/ .. _Perl: https://www.perl.org .. _Text-Restructured: https://metacpan.org/dist/Text-Restructured .. _repository: ../dev/repository.html Tools ````` * rstcheck_ Checks syntax of reStructuredText and code blocks nested within it. (Using the Sphinx syntax "code-block" for the "code" directive.) .. _rstcheck: https://pypi.python.org/pypi/rstcheck * restview_ is a viewer for ReStructuredText documents. Pass the name of a ReStructuredText document to restview, and it will launch a web server on localhost:random-port and open a web browser. It will also watch for changes in that file and automatically reload and rerender it. This is very convenient for previewing a document while you're editing it. .. _restview: https://mg.pov.lt/restview/ Development ``````````` * Sphinx_ extends the ReStructuredText syntax to better support the documentation of Software (and other) *projects* (but other documents can be written with it too). The `Python documentation`_ is based on reStructuredText and Sphinx. .. _Python documentation: https://docs.python.org/ * Trac_, a project management and bug/issue tracking system, supports `using reStructuredText <https://trac.edgewall.org/wiki/WikiRestructuredText>`__ as an alternative to wiki markup. .. _Trac: https://trac.edgewall.org/ * PyLit_ provides a bidirectional text <--> code converter for *literate programming with reStructuredText*. .. _PyLit: https://repo.or.cz/pylit.git CMS Systems ``````````` * Plone_ and Zope_ both support reStructuredText markup. * ZReST_, by Richard Jones, is a "ReStructuredText Document for Zope_" application that is complete and ready to install. .. _Plone: https://plone.org/ .. _Zope: https://www.zope.dev/ .. _ZReST: https://docutils.sourceforge.io/sandbox/richard/ZReST/ Presentations ````````````` * rst2html5_ transform restructuredtext documents to html5 + twitter's bootstrap css, deck.js or reveal.js .. _rst2html5: https://github.com/marianoguerra/rst2html5 * landslide_ generates HTML5 slideshows from markdown, ReST, or textile. .. _landslide: https://github.com/adamzap/landslide * `native support for S5 <slide-shows.s5.html>`_. * The `PythonPoint interface`_ by Richard Jones produces PDF presentations using ReportLabs' PythonPoint. .. _PythonPoint interface: https://docutils.sourceforge.io/sandbox/richard/pythonpoint/ * rst2beamer_ generates a LaTeX source that uses the `Beamer` document class. Can be converted to PDF slides with pdfLaTeX/XeLaTeX/LuaLaTeX. .. _rst2beamer: https://docutils.sourceforge.io/sandbox/rst2beamer/ * InkSlide_ quick and easy presentations using Inkscape_. InkSlide uses reStructuredText for markup, although it renders only a subset of rst. .. _InkSlide: http://wiki.inkscape.org/wiki/index.php/InkSlide .. _Inkscape: http://inkscape.org/ * rst2outline_ translates a reStructuredText document to a plain text outline. This can then be transformed to PowerPoint. .. _rst2outline: https://docutils.sourceforge.io/sandbox/rst2outline/ * Pandoc_ can also be used to produce slides �������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������mailing-lists.txt�����������������������������������������������������������������������������������0000664�0000000�0000000�00000012647�15141625651�0034050�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000�pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/user������������������������������������������������������������������������������������========================= Docutils_ Mailing Lists ========================= :Author: Lea Wiemann :Contact: docutils-develop@lists.sourceforge.net :Revision: $Revision$ :Date: $Date$ :Copyright: This document has been placed in the public domain. .. Gmane went down 2016 and is only partially restored. http://home.gmane.org/2016/08/29/next-steps-gmane/ .. raw:: html <div class="sidebar"> <p class="first sidebar-title">Search the list archives</p> <form method="get" action="https://sourceforge.net/p/docutils/mailman/search/"> <p style="margin-bottom: 3px;"><input type="text" name="q" style="width: 100%;" /></p> <p>Search in <select name="mail_list"> <option value="all">all mailing lists</option> <option value="docutils-users">Docutils-users</option> <option value="docutils-develop">Docutils-develop</option> <option value="docutils-checkins">Docutils-checkins</option> </select></p> <p class="last"><input type="submit" value="Search" /></p> </form> </div> All discussion about Docutils takes place on mailing lists. There are four different lists with traffic related to Docutils. For an oversight, see https://sourceforge.net/p/docutils/mailman/. If unsure, use the **Docutils-users** mailing list: Docutils-users -------------- The `Docutils-users mailing list`_ is a place to discuss any issues related to the usage of Docutils and reStructuredText. (Please be sure to check the FAQ_ first.) There are several possibilities to **read and post** messages on the mailing lists; use the one you feel most comfortable with. * Using an `email subscription`__. This is the traditional way; you will receive all messages sent to the mailing list via email. __ `docutils-users mailing list`_ * Use a newsreader with Gmane's `NNTP interface`__ (gmane.text.docutils.user on news.gmane.org). __ nntp://news.gmane.org/gmane.text.docutils.user * **If you do not wish to subscribe,** you can also just send an email message with your question or comment to Docutils-users@lists.sourceforge.net. Note in your message that you are not subscribed (to make sure that you receive copies [CCs] of any replies) or check for answers in the `Docutils-users Archives`_. The first time you post a message without being subscribed you will receive an automatic response with the subject "Your message to Docutils-users awaits moderator approval"; this is done to prevent spam to the mailing lists. Your message will usually be approved within a few hours. To avoid duplicates, please do not resend your message using a different email address. After your first message has been approved, your email address will be added to the whitelist and future messages will be posted to the mailing list without moderation. To see the collection of prior postings to the list, visit the `Docutils-users Archives`_. Docutils-develop ---------------- Discussions about developing and extending Docutils take place on the `Docutils-develop mailing list`_. You can access this list via `email subscription`__ or news__ (gmane.text.docutils.devel); the posting address is Docutils-develop@lists.sourceforge.net. To see the collection of prior postings to the list, visit the `Docutils-develop Archives`__. __ `Docutils-develop mailing list`_ __ nntp://news.gmane.org/gmane.text.docutils.devel __ https://sourceforge.net/mailarchive/forum.php?forum_name=docutils-develop Docutils-checkins ----------------- All check-ins to the `Subversion repository`_ cause a "check-in email" to the `Docutils-checkins list`_. In order to stay informed about current development, developers are advised to monitor this mailing list. This mailing list is for reading only; please direct any discussion about the check-ins to Docutils-develop. (For your convenience, the Reply-To header of all check-in emails points to Docutils-develop.) This mailing list is accessible via `email subscription`__ or news__ (gmane.text.docutils.cvs) as well. 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You must be subscribed in order to post messages to this mailing list. __ `Doc-SIG`_ __ nntp://news.gmane.org/gmane.comp.python.documentation .. _Docutils-users mailing list: https://lists.sourceforge.net/lists/listinfo/docutils-users .. _Docutils-users Archives: https://sourceforge.net/mailarchive/forum.php?forum_name=docutils-users .. _Docutils-develop mailing list: https://lists.sourceforge.net/lists/listinfo/docutils-develop .. _Docutils-develop Archives: https://sourceforge.net/mailarchive/forum.php?forum_name=docutils-develop .. _Docutils-checkins list: https://lists.sourceforge.net/lists/listinfo/docutils-checkins .. _Doc-SIG: https://mail.python.org/mailman/listinfo/doc-sig .. _Subversion repository: ../dev/repository.html .. _Docutils: https://docutils.sourceforge.io/ .. _FAQ: ../../FAQ.html �����������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/user/manpage.txt�����0000664�0000000�0000000�00000012122�15141625651�0032747�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������============================== manpage writer for Docutils_ ============================== :Author: Engelbert Gruber :Contact: docutils-develop@lists.sourceforge.net :Revision: $Revision$ :Date: $Date$ :Copyright: This document has been placed in the public domain. This writer explores the possibilities to generate man-pages from reStructuredText. Man pages are the way for Unix systems to provide help to the user. GNU does this with (TeX)info-pages. .. contents:: Module information '''''''''''''''''' Unix man page belong into a numbered section, 1 is user commands, 8 contains administrator commands, the headlines of all manpages are collected into a database, queryable with the program ``apropos``, therefore the headline should contain a short text describing into which group this command belongs. That information is collected from the title, subtitle and docinfo. Also man pages have a defined set of sections, that are more or less mandatory, see References_. man pages look like:: man(1) Man Pager Utils man(1) NAME man - an interface to the on-line reference manuals SYNOPSIS man [-c|-w|-tZT device] [-adhu7V] [-m system[,...]] [-L locale] in roff formatting:: .TH man 1 "14 May 2001" "2.3.19" "Manual pager utils" .SH NAME man \- an interface to the on-line reference manuals .SH SYNOPSIS .\" The general command line .B man .RB [\| \-c \||\| \-w \||\| \-tZT .IR device \|] This means we have * a title "man" * a subtitle "an interface to the on-line reference manuals" * a manual section "1" * a manual group "Manual pager utils" * a date "14 May 2001" * a version "2.3.19" References '''''''''' man pages from section 7, ``man`` and ``man-pages``. .. [LMHT] `Linux Man Page Howto <https://tldp.org/HOWTO/Man-Page/>`__. Conventions ''''''''''' * man pages have a special structure and organization. From the manpage to *man*:: The table below shows the section numbers of the manual followed by the types of pages they contain. 1 Executable programs or shell commands 2 System calls (functions provided by the kernel) 3 Library calls (functions within program libraries) 4 Special files (usually found in /dev) 5 File formats and conventions eg /etc/passwd 6 Games 7 Miscellaneous (including macro packages and conven- tions), e.g. man(7), groff(7) 8 System administration commands (usually only for root) 9 Kernel routines [Non standard] A manual page consists of several parts. They may be labelled NAME, SYNOPSIS, DESCRIPTION, OPTIONS, FILES, SEE ALSO, BUGS, and AUTHOR. The following conventions apply to the SYNOPSIS section and can be used as a guide in other sections. bold text type exactly as shown. italic text replace with appropriate argument. [-abc] any or all arguments within [ ] are optional. -a|-b options delimited by | cannot be used together. argument ... argument is repeatable. [expression] ... entire expression within [ ] is repeatable. The command or function illustration is a pattern that should match all possible invocations. In some cases it is advisable to illustrate sev- eral exclusive invocations as is shown in the SYNOPSIS section of this manual page. * new lines in general. Consecutive blank lines are merged by the viewer but not on printouts. So one has to be cautious. This is most disturbing when printing postscript. .. NOTE:: 1. Roff requests only work when at line start. 2. But consecutive blank lines are merged by the viewer but not on printouts. So try the rule start new lines in ``visit_``-functions, but only if necessary. E.g. ``field-names`` are already on a new line because of docutils structure. * Indentation, left margin: - The writer includes two macros ``.INDENT`` and ``.UNINDENT`` that keep track of the indentation in roff-code, for line-blocks python keeps track of it. WHAT should be the preferred way ? But standard macros like ``.PP`` might reset it. - Why do ``.RE`` and ``.RS`` not work? .. Note:: Current indent is in register ``.i``. * [LMHT]_ Filenames are always in italics, except in the SYNOPSIS section, use:: .I /usr/include/stdio.h and:: .B #include <stdio.h> * Tables are possible, via the external processor tbl, although one should avoid them. TODO - Open issues '''''''''''''''''' * How to escape double quotes in macro arguments ? * Typeset URLs : ``man 7 man`` on linux says use ``.UR`` and ``.UE``. * How to typeset command/manpage names in text. * How to write long syntax lines. * Line ends around email or web addresses in texts. How to distinguish something is inline or not ? * Images and equations are discouraged. * Lists in admonitions are not intended. * Encoding declaration ``'\" t -*- coding: ISO-8859-1 -*-`` in first line. BUT if UTF-8 is declared tables are no longer processed. * Input and output encoding are problematic at least. .. _Docutils: https://docutils.sourceforge.io/ ����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/user/odt.txt���������0000664�0000000�0000000�00000112651�15141625651�0032135�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������======================= Odt Writer for Docutils ======================= :Author: Dave Kuhlman :Contact: docutils-develop@lists.sourceforge.net :Revision: $Revision$ :Date: $Date$ :Copyright: This document has been placed in the public domain. :abstract: This document describes the Docutils odtwriter (rst2odt.py). .. sectnum:: .. contents:: Introduction ============ What it does -- ``rst2odt.py`` translates reST (reStructuredText) into a Open Document Format ``.odt`` file. You can learn more about the ODF format here: - `OASIS Open Document Format for Office Applications (OpenDocument) TC`_ - `Open Document at Wikipedia`_ You should be able to open documents (.odt files) generated with ``rst2odt.py`` in ``OpenOffice/oowriter``. You can learn more about Docutils and reST here: `Docutils`_ Requirements ============ In addition to the Docutils standard requirements, ``odtwriter`` requires: - Optional -- `Pygments`_ is required if you want syntax highlighting of code in literal blocks. See section `Syntax highlighting`_. - Optional -- `Python Imaging Library`_ (PIL) is required if on an image or figure directive, you specify ``scale`` but not ``width`` and ``height``. See section `Images and figures`_. How to Use It ============= Run it from the command line as follows:: $ rst2odt.py myinput.txt myoutput.odt To see usage information and to learn about command line options that you can use, run the following:: $ rst2odt.py --help Examples:: $ rst2odt.py -s -g python_comments.txt python_comments.odt $ rst2odt.py --source-url=odtwriter.txt --generator \ --stylesheet=/myconfigs/styles.odt odtwriter.txt odtwriter.odt Configuration file ------------------ The options described below can also be set in a configuration file. Use section ``[odf_odt writer]`` to set options specific to the ``odtwriter``. For example:: [odf_odt writer] stylesheet: styles1.odt See the "Docutils Configuration" document for more information on Docutils configuration files, including locations which are searched. Command line options -------------------- The following command line options are specific to ``odtwriter``: --stylesheet=<URL> Specify a stylesheet URL, used verbatim. Default: writers/odf_odt/styles.odt in the installation directory. --odf-config-file=<file> Specify a configuration/mapping file relative to the current working directory for additional ODF options. In particular, this file may contain a section named "Formats" that maps default style names to names to be used in the resulting output file allowing for adhering to external standards. For more info and the format of the configuration/mapping file, see the odtwriter doc. --cloak-email-addresses Obfuscate email addresses to confuse harvesters while still keeping email links usable with standards- compliant browsers. --no-cloak-email-addresses Do not obfuscate email addresses. --table-border-thickness=TABLE_BORDER_THICKNESS Specify the thickness of table borders in thousands of a cm. Default is 35. --add-syntax-highlighting Add syntax highlighting in literal code blocks. --no-syntax-highlighting Do not add syntax highlighting in literal code blocks. (default) --create-sections Create sections for headers. (default) --no-sections Do not create sections for headers. --create-links Create links. --no-links Do not create links. (default) --endnotes-end-doc Generate endnotes at end of document, not footnotes at bottom of page. --no-endnotes-end-doc Generate footnotes at bottom of page, not endnotes at end of document. (default) --generate-list-toc Generate a bullet list table of contents, not an ODF/``oowriter`` table of contents. --generate-oowriter-toc Generate an ODF/``oowriter`` table of contents, not a bullet list. (default) **Note:** ``odtwriter`` is not able to determine page numbers, so you will need to open the generated document in ``oowriter``, then right-click on the table of contents and select "Update" to insert page numbers. --custom-odt-header=CUSTOM_HEADER Specify the contents of an custom header line. See odf_odt writer documentation for details about special field character sequences. See section `Custom header/footers: inserting page numbers, date, time, etc`_ for details --custom-odt-footer=CUSTOM_FOOTER Specify the contents of an custom footer line. See odf_odt writer documentation for details about special field character sequences. See section `Custom header/footers: inserting page numbers, date, time, etc`_ for details Styles and Classes ================== ``odtwriter`` uses a number of styles that are defined in ``styles.xml`` in the default ``styles.odt``. This section describes those styles. Note that with the ``--stylesheet`` command line option, you can use either ``styles.odt`` or ``styles.xml``, as described below. Use of ``styles.odt`` is recommended over ``styles.xml``. You can modify the look of documents generated by ``odtwriter`` in several ways: - Open (a copy of) ``styles.odt`` in ``OpenOffice/oowriter`` and modify the style you wish to change. Now, save this document, then generate your documents using this modified copy of ``styles.odt``. In my version of ``oowriter``, to modify styles, either (1) press F11 or (2) use menu item "Format/Styles and Formatting", then right-click on the relevant style and select "Modify". Modify the style, then save your document. - Open a document generated by ``odtwriter`` in `oowriter``. Now, edit the style you are interested in modifying. Now, you can extract the styles.xml file from your document and either (1) use this as your default styles file or (2) copy and paste the relevant style definition into your styles.xml. - Extract ``styles.xml`` from ``styles.odt`` using your favorite ``zip/unzip`` tool. Then modify ``styles.xml`` with a text editor. Now re-zip it back into your own ``styles.odt``, or use it directly by specifying it with the ``--stylesheet`` command line option. **Hint:** If you intend to extract ``styles.xml`` from an ``.odt`` file (and then "re-zip" it), you should turn off XML optimization/compression in ``oowriter``. In order to this in ``oowriter``, use Tools --> Options... --> Load-Save --> General and turn off "Size optimization for XML format". - Open an empty (or new) document in ``oowriter``. Define all of the styles described in this section. Then, use that document (a .odt file) as your stylesheet. ``odtwriter`` will extract the ``styles.xml`` file from that document and insert it into the output document. - Some combination of the above. Styles used by odtwriter ------------------------ This section describes the styles used by ``odtwriter``. Note that we do not describe the "look" of these styles. That can be easily changed by using ``oowriter`` to edit the document ``styles.odt`` (or a copy of it), and modifying any of the styles described here. To change the definition and appearance of these styles, open ``styles.odt`` in ``oowriter`` and open the Styles and Formatting window by using the following menu item:: Format --> Styles and Formatting Then, click on the Paragraph Styles button or the Character Styles button at the top of the Styles and Formatting window. You may also need to select "All Styles" from the drop-down selection list at the bottom of the Styles and Formatting window in order to see the styles used by ``odtwriter``. Notice that you can make a copy of file ``styles.odt``, modify it using ``oowriter``, and then use your copy with the ``--stylesheet=<file>`` command line option. Example:: $ rst2odt.py --stylesheet=mystyles.odt test2.txt test2.odt Paragraph styles ~~~~~~~~~~~~~~~~ rststyle-attribution The style for attributions, for example, the attribution in a ``.. epigraph::`` directive. Derived from ``rststyle-blockquote``. rststyle-blockindent An indented block. rststyle-blockquote A block quote. rststyle-blockquote-bulletitem The style for bullet list items inside block quote. rststyle-blockquote-enumitem The style for enumerated list items inside block quote. rststyle-bodyindent An indented block. rststyle-bulletitem An item in an bullet list. rststyle-caption The caption in a figure or image. Also see ``rststyle-legend``. rststyle-codeblock Literal code blocks -- A block of example code. Created with double colon ("::") followed by an indented block or with the ``.. parsed-literal::`` directive. Derived from the ``Preformatted Text`` style in ``oowriter``. rststyle-enumitem An item in an enumerated list. rststyle-epigraph The style for epigraphs, for example, the body of an ``.. epigraph::`` directive. Derived from ``rststyle-blockquote``. rststyle-epigraph-bulletitem The style for bullet list items inside epigraphs. rststyle-epigraph-enumitem The style for enumerated list items inside epigraphs. rststyle-footer The style for footers. The footer content originates from the ``..footer::`` directive and in response to the command line flags for generator (``--generator``), date/time generated (``--date`` and ``--time``), and view source link (``--source-link`` and ``--source-url=URL``). rststyle-header The style for headers. The header content originates from the ``..header::`` directive. rststyle-highlights The style for highlightss, for example, the body of an ``.. highlights::`` directive. Derived from ``rststyle-blockquote``. rststyle-highlights-bulletitem The style for bullet list items inside highlights. rststyle-highlights-enumitem The style for enumerated list items inside highlights. rststyle-horizontalline A horizontal line, e.g. used for transitions. rststyle-legend The legend in a figure. See the Docutils figure directive. Also see ``rststyle-caption``. rststyle-table-title The style for titles of tables. See section `The table directive`_. rststyle-textbody Normal text. The style for paragraphs. Derived from the ``Text body`` style in ``oowriter``. Character styles ~~~~~~~~~~~~~~~~ rststyle-emphasis Emphasis. Normally rendered as italics. rststyle-inlineliteral An inline literal. rststyle-strong Strong emphasis. Normally rendered as boldface. rststyle-quotation In-line quoted material. rststyle-codeblock-classname Syntax highlighting in literal code blocks -- class names. rststyle-codeblock-comment Syntax highlighting in literal code blocks -- comments. rststyle-codeblock-functionname Syntax highlighting in literal code blocks -- function names. rststyle-codeblock-keyword Syntax highlighting in literal code blocks -- Python language keywords. rststyle-codeblock-name Syntax highlighting in literal code blocks -- other names, for example, variables. rststyle-codeblock-number Syntax highlighting in literal code blocks -- literal numbers, including integers, floats, hex numbers, and octal numbers. rststyle-codeblock-operator Syntax highlighting in literal code blocks -- Python operators. rststyle-codeblock-string Syntax highlighting in literal code blocks -- literal strings. List styles ~~~~~~~~~~~ rststyle-bulletlist Bullet lists (but not in the table of contents) rststyle-blockquote-bulletlist Bullet lists in block quotes. rststyle-blockquote-enumlist Enumerated lists in block quotes. rststyle-enumlist-arabic Enumerated lists, arabic (but not in the table of contents) rststyle-enumlist-loweralpha Enumerated lists, lower alpha (but not in the table of contents) rststyle-enumlist-lowerroman Enumerated lists, lower roman (but not in the table of contents) rststyle-enumlist-upperalpha Enumerated lists, upper alpha (but not in the table of contents) rststyle-enumlist-upperroman Enumerated lists, upper roman (but not in the table of contents) rststyle-epigraph-bulletlist Bullet lists in epigraphs. See the ``.. epigraph::`` directive. rststyle-epigraph-enumlist Enumerated lists in epigraphs. See the ``.. epigraph::`` directive. rststyle-highlights-bulletlist Bullet lists in highlights blocks. See the ``.. highlights::`` directive. rststyle-highlights-enumlist Enumerated lists in highlights blocks. See the ``.. highlights::`` directive. rststyle-tocbulletlist Lists in the table of contents when section numbering is off. rststyle-tocenumlist Lists in the table of contents when section numbering is on. Admonition styles ~~~~~~~~~~~~~~~~~ rststyle-admon-attention-hdr The style for the attention admonition header/title. rststyle-admon-attention-body The style for the attention admonition body/paragraph. rststyle-admon-caution-hdr The style for the caution admonition header/title. rststyle-admon-caution-body The style for the caution admonition body/paragraph. rststyle-admon-danger-hdr The style for the admonition header/title. rststyle-admon-danger-body The style for the danger admonition body/paragraph. rststyle-admon-error-hdr The style for the error admonition header/title. rststyle-admon-error-body The style for the error admonition body/paragraph. rststyle-admon-hint-hdr The style for the hint admonition header/title. rststyle-admon-hint-body The style for the hint admonition body/paragraph. rststyle-admon-hint-hdr The style for the hint admonition header/title. rststyle-admon-hint-body The style for the hint admonition body/paragraph. rststyle-admon-important-hdr The style for the important admonition header/title. rststyle-admon-important-body The style for the important admonition body/paragraph. rststyle-admon-note-hdr The style for the note admonition header/title. rststyle-admon-note-hdr The style for the note admonition header/title. rststyle-admon-tip-body The style for the tip admonition body/paragraph. rststyle-admon-tip-hdr The style for the tip admonition header/title. rststyle-admon-warning-body The style for the warning admonition body/paragraph. rststyle-admon-warning-hdr The style for the warning admonition header/title. rststyle-admon-generic-body The style for the generic admonition body/paragraph. rststyle-admon-generic-hdr The style for the generic admonition header/title. Rubric style ~~~~~~~~~~~~ rststyle-rubric The style for the text in a rubric directive. The rubric directive recognizes a "class" option. If entered, odtwriter uses the value of that option instead of the ``rststyle-rubric`` style. Here is an example which which attaches the ``rststyle-heading1`` style to the generated rubric:: .. rubric:: This is my first rubric :class: rststyle-heading1 Table styles ~~~~~~~~~~~~ A table style is generated by ``oowriter`` for each table that you create. Therefore, ``odtwriter`` attempts to do something similar. These styles are created in the ``content.xml`` document in the generated ``.odt`` file. These styles have names prefixed with "rststyle-table-". There are two ways in which you can control the styles of your tables: one simple, the other a bit more complex, but more powerful. First, you can change the thickness of the borders of all tables generated in a document using the "--table-border-thickness" command line option. Second, you can control additional table properties and you can apply different styles to different tables within the same document by customizing and using tables in your stylesheet: ``styles.odt`` or whatever you name your copy of it using the --stylesheet command line option. Then, follow these rules to apply a table style to the tables in your document: - The default table style -- Optionally, alter and customize the style applied by default to tables in your document by modifying table "rststyle-table-0" in your stylesheet (``styles.odt`` or a copy). Caution: Do not change the name of this table. - User-created table styles -- Add one or more new table styles to be applied selectively to tables in your document by doing the following: 1. Using ``oowriter``, add a table to your stylesheet and give it a name that starts with the prefix "rststyle-table-", for example "rststyle-table-vegetabledata". Customize the table's border thickness, border color, and table background color. 2. In your reStructuredText document, apply your new table style to a specific table by placing the ".. class::" directive immediately before the table, for example:: .. class:: rststyle-table-vegetabledata The default table style will be applied to all tables for which you do not specify a style with the ".. class::" directive. Customize the table properties in ``oowriter`` using the table properties dialog for the table (style) that you wish to customize. Note that "--table-border-thickness" command line option overrides the border thickness specified in the stylesheet. The specific properties that you can control with this second method are the following: - Border thickness and border color. - Background color -- When you change the background color of a table to be used as a style (in ``styles.odt`` or whatever you name it), make sure you change the background color for the *table* and *not* for a cell in the table. ``odtwriter`` picks the background color from the table, not from a cell within the table. Line block styles ~~~~~~~~~~~~~~~~~~ The line block styles wrap the various nested levels of line blocks. There is one line block style for each indent level. rststyle-lineblock1 Line block style for line block with no indent. rststyle-lineblock2 Line block style for line block indented 1 level. rststyle-lineblock3 Line block style for line block indented 2 levels. rststyle-lineblock4 Line block style for line block indented 3 levels. rststyle-lineblock5 Line block style for line block indented 4 levels. rststyle-lineblock6 Line block style for line block indented 5 levels. Notes: - ``odtwriter`` does not check for a maximum level of indents within line blocks. Therefore, you can define additional line block styles for additional levels if you need them. Define these styles with the names ``rststyle-lineblock7``, ``rststyle-lineblock8``, ... - Since the line block style is used to create indentation, a line block that is inside a block quote will use ``rststyle-lineblock2`` as its first level of indentation. Footnote and citation styles ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rststyle-footnote The style for footnotes. This style affects the footnote content, *not* the footnote reference in the body of the document. rststyle-citation The style for citations. This style affects the citation content, *not* the citation reference in the body of the document. You might need to adjust the indentation in this style depending on the length of the label used in your citations. Heading and title styles ~~~~~~~~~~~~~~~~~~~~~~~~~ rststyle-heading{1|2|3|4|5} The styles for headings (section titles and sub-titles). Five levels of sub-headings are provided: rststyle-heading1 through rststyle-heading5. rststyle-title The style for the document title. rststyle-subtitle The style for the document sub-title. Image and figure styles ~~~~~~~~~~~~~~~~~~~~~~~~~ rststyle-image The style applied to an image, either an image by itself or an image in a figure. rststyle-figureframe The style applied to a figure (actually to the frame that surrounds a figure). Defining and using a custom stylesheet --------------------------------------- You can create your own custom stylesheet. Here is how: 1. Make a copy of ``styles.odt``, which is in the distribution. 2. Open your copy of ``styles.odt`` in ``oowriter``. Modify styles in that document. Then, save it. 3. When you run ``rst2odt.py``, use the ``--stylesheet`` command line option to use your custom stylesheet. Run ``rst2odt.py --help`` to learn more about these options. Why custom stylesheets ~~~~~~~~~~~~~~~~~~~~~~~ Here are a few reasons and ideas: - The page size is stored in the style sheet. The default page size is ``Letter``. You can change the page size (for example, to ``A4``) in your custom stylesheet by opening it in ``oowriter``, then clicking on menu: ``Format/Page...``, then clicking on the ``Page`` tab. Defining and using custom style names ------------------------------------- [Credits: Stefan Merten designed and implemented the custom style names capability. Thank you, Stefan.] You can also instruct ``odtwriter`` to use style names of your own choice. Why custom style names ~~~~~~~~~~~~~~~~~~~~~~ Here are a few reasons and ideas: - Suppose that your organization has a standard set of styles in OOo ``oowriter`` and suppose that the use of these styles is required. You would like to generate ODF documents from reST text files, and you want the generated documents to contain these styles. - Suppose that your company or organization has a policy of using a certain MS Word template for some set of documents. You would like to generate ODF documents that use these custom style names, so that you can export these documents from ODF ``oowriter`` to MS Word documents that use these style names. - Suppose that your documents are written in a language other than English. You would like the style names visible in the "Styles and Formatting" window in OOo ``oowriter`` (menu item ``Format/Styles and Formatting``) to be understandable in the language of your users. - ``odtwriter`` maps single asterisks/stars (for example, \*stuff\*) to emphasis and double stars to strong. You'd like to reverse these. Or, you would like to generate headings level 3 and 4 where headings level 1 and 2 would normally be produced. How to use custom style names ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In order to define custom style names and to generate documents that contain them, do the following: 1. Create a configuration file containing a "Formats" section. The configuration file obeys the file format supported by the Python ConfigParser module: `ConfigParser -- Configuration file parser -- https://docs.python.org/3/library/configparser.html <https://docs.python.org/3/library/configparser.html>`_. 2. In the "Formats" section of the configuration file, create one option (a name-value pair) for each custom style name that you wish to define. The option name is the standard ``odtwriter`` style name (without "rststyle-"), and the value is your custom style name. Here is an example:: [Formats] textbody: mytextbody bulletitem: mybulletitem heading1: myheading1 o o o 3. Create a styles document that defines the styles generated by ``odtwriter``. You can create and edit the styles in OOo ``oowriter``. It may be helpful to begin by making a copy of the styles document that is part of the ``odtwriter`` distribution (``styles.odt``). 4. When you run ``odtwriter``, specify the ``--odf-config-file`` option. You might also want to specify your styles document using the ``--stylesheet`` option in order to include your custom style definitions. For example:: rst2odt.py --odf-config-file=mymappingfile.ini \ --stylesheet=mystyles.odt mydoc.txt mydoc.odt Classes ------- ``odtwriter`` uses the following Docutils class to provide additional control of the generation of ODF content: - Class ``wrap`` -- Use this to cause the wrapping of text around an image. The default is *not* to wrap text around images. Here is an example:: .. class:: wrap .. image:: images/flower01.png :alt: A bright yellow flower :height: 55 :width: 60 Roles ------- You can use a Docutils custom interpreted text role to attach a character style to an inline area of text. This capability also enables you to attach a new character style (with a new name) that you define yourself. Do this by defining your role in a stylesheet as a character style with "rststyle-" prefixed to your role name, then use the ``role`` directive and inline markup to apply your role. In order to use this capability, do the following: - Define the character style for your custom role in a stylesheet (a copy of ``styles.odt``) with the prefix "rststyle-". Remember: (1) If the name of your custom role is "pretty", then define a character style named "rststyle-pretty". (2) Define the style as a *character* style, and *not*, for example as a paragraph style. - Declare your role in the source reStructuredText document in a ``role`` directive. Example:: .. role:: pretty - Use inline markup to apply your role to text. Example:: We have :pretty:`very nice` apples. Here is another example:: .. role:: fancy Here is some :fancy:`pretty text` that looks fancy. For more on roles see: `Custom Interpreted Text Roles -- https://docutils.sourceforge.io/docs/ref/rst/directives.html#custom-interpreted-text-roles <https://docutils.sourceforge.io/docs/ref/rst/directives.html#custom-interpreted-text-roles>`_. **Note:** The ability to base a role on another existing role is *not* supported by ``odtwriter``. Hints and Suggestions and Features ================================== Table of contents ----------------- The ``..contents::`` directive causes ``odtwriter`` to generate either: 1. A static, outline style table of contents, if the ``--generate-list-toc`` command line option is specified, or 2. An ODF/``oowriter`` style table of contents containing dynamically updated page numbers and with the formatting control that ``oowriter`` gives you. This is the default, or use the command line option ``--generate-list-toc``. **Note:** ``odtwriter`` is not able to determine page numbers, so you will need to open the generated document in ``oowriter``, then right-click on the table of contents and select "Update" to insert correct page numbers. Syntax highlighting ------------------- ``odtwriter`` can add syntax highlighting to code in code blocks. In order to activate this, do all of the following: 1. Install `Pygments`_ and ... 2. Use the command line option ``--add-syntax-highlighting``. Example:: $ rst2odt.py --add-syntax-highlight test.txt test.odt The following styles are defined in styles.odt and are used for literal code blocks and syntax highlighting: - Paragraph styles: - rststyle-codeblock -- The style for the code block as a whole. - Character styles: - rststyle-codeblock-classname -- class names. - rststyle-codeblock-comment -- comments. - rststyle-codeblock-functionname -- function names. - rststyle-codeblock-keyword -- Python language keywords. - rststyle-codeblock-name -- other names, for example, variables. - rststyle-codeblock-number -- literal numbers, including integers, floats, hex numbers, and octal numbers. - rststyle-codeblock-operator -- Python operators. - rststyle-codeblock-string -- literal strings. Each of the above styles has a default appearance that is defined in ``styles.odt``. To change that definition and appearance, open ``styles.odt`` in ``oowriter`` and use menu item:: Format --> Styles and Formatting Then, click on the Paragraph Styles button or the Character Styles button at the top of the Styles and Formatting window. You may also need to select "All Styles" from the drop-down selection list at the bottom of the Styles and Formatting window. The container directive ----------------------- There is limited support for the ``container`` directive. The limitations and rules for the container directive are the following: - Only the first class in the list of classes (arguments) is used. - That class/style must be a paragraph style and not (for example) a character style. - The style/class given to the container directive will have a "rststyle-" prefix in the odt file. So, for example:: .. container:: style-1 style-2 style-3 a block of text - Only ``style-1`` is used; ``style-2`` and ``style-3`` are ignored. - ``rststyle-style-1`` must be defined. It should be an existing, predefined style, or you should define it in your stylesheet (``styles.odt`` or the argument to the ``--stylesheet`` command line option). - ``rststyle-style-1`` must be a paragraph style. To define a paragraph style, use the following menu item in ``oowriter``:: Format --> Styles and Formatting Then, click on the Paragraph Styles button. The following example attaches the ``rststyle-heading2`` style (a predefined style) to each paragraph/line in the container:: .. container:: heading2 Line 1 of container. Line 2 of container. More information on how to define a new style (for example, in your ``styles.odt``) can be found in section `Defining and using custom style names`_. The table directive ------------------- The ``table`` directive can be used to add a title to a table. Example:: .. table:: A little test table =========== ============= Name Value =========== ============= Dave Cute Mona Smart =========== ============= The above will insert the title "A little test table" at the top of the table. You can modify the appearance of the title by modifying the paragraph style ``rststyle-table-title``. Footnotes and citations ----------------------- Footnotes and citations are supported. There are additional styles ``rststyle-footnote`` and ``rststyle-citation`` for footnotes and citations. See `Footnote and citation styles`_. You may need to modify the citation style to fit the length of your citation references. Endnotes -- There are command line options that control whether ``odtwriter`` creates endnotes instead of footnotes. Endnotes appear at the end of the document instead of at the bottom of the page. See flags ``--endnotes-end-doc`` and ``--no-endnotes-end-doc`` in section `Command line options`_. Images and figures ------------------ If on the image or the figure directive you provide the scale option but do not provide the width and height options, then ``odtwriter`` will attempt to determine the size of the image using the `Python Imaging Library`_ (PIL). If ``odtwriter`` cannot find and import Python Imaging Library, it will raise an exception. If this ocurrs, you can fix it by doing one of the following: - Install the Python Imaging Library or - Remove the ``scale`` option or - Add both the ``width`` and the ``height`` options. So, the rule is: if on any image or figure, you specify scale but not both width and height, you must install the `Python Imaging Library`_ library. For more information about PIL, see: `Python Imaging Library`_. The raw directive ----------------- The ``raw`` directive is supported. Use output format type "odt". You will need to be careful about the formatting of the raw content. In particular, introduced whitespace might be a problem. In order to produce content for the raw directive for use by ``odtwriter``, you might want to extract the file ``content.xml`` from a ``.odt`` file (using some Zip tool), and then clip, paste, and modify a selected bit of it. Here is an example:: .. raw:: odt <text:p text:style-name="rststyle-textbody">Determining <text:span text:style-name="rststyle-emphasis">which</text:span> namespace a name is in is static. It can be determined by a lexical scan of the code. If a variable is assigned a value <text:span text:style-name="rststyle-emphasis">anywhere</text:span> in a scope (specifically within a function or method body), then that variable is local to that scope. If Python does not find a variable in the local scope, then it looks next in the global scope (also sometimes called the module scope) and then in the built-ins scope. But, the <text:span text:style-name="rststyle-inlineliteral">global</text:span> statement can be used to force Python to find and use a global variable (a variable defined at top level in a module) rather than create a local one.</text:p> The meta directive ------------------ ``odtwriter`` supports the ``meta`` directive. "keywords" and "description" are set in their respective odt fields. Other meta fields are set as "Custom Properties". Here is an example:: .. meta:: :keywords: reStructuredText, docutils, formatting :description lang=en: A reST document, contains formatted text in a formatted style. :custom_var: Value To see the results of the ``meta`` directive in ``oowriter``, select menu item "File/Properties...", then click on the "Description" tab ("keywords" and "description" fields) and the "Custom Properties" tab. Footnote references inside footnotes ------------------------------------ Not supported. Get a grip. Be serious. Try a dose of reality. ``odtwriter`` ignores them. They cause ``oowriter`` to croak. Page size --------- The default page size, in documents generated by ``odtwriter`` is ``Letter``. You can change this (for example to ``A4``) by using a custom stylesheet. See `Defining and using a custom stylesheet`_ for instructions on how to do this. On machines which support ``paperconf``, ``odtwriter`` can insert the default page size for your locale. In order for this to work, the following conditions must be met: 1. The program ``paperconf`` must be available on your system. ``odtwriter`` uses ``paperconf -s`` to obtain the paper size. See ``man paperconf`` for more information. 2. The default page height and width must be removed from the ``styles.odt`` used to generate the document. A Python script ``rst2odt_prepstyles.py`` is distributed with ``odtwriter`` and is installed in the ``bin`` directory. You can remove the page height and width with something like the following:: $ rst2odt_prepstyles.py styles.odt .. warning:: If you edit your stylesheet in ``oowriter`` and then save it, ``oowriter`` automatically inserts a page height and width in the styles for that (stylesheet) document. If that is not the page size that you want and you want ``odtwriter`` to insert a default page size using ``paperconf``, then you will need to strip the page size from your stylesheet each time you edit that stylesheet with ``oowriter``. Custom header/footers: inserting page numbers, date, time, etc ---------------------------------------------------------------- You can specify custom headers and footers for your document from the command line. These headers and footers can be used to insert fields such as the page number, page count, date, time, etc. See below for a complete list. To insert a custom header or footer, use the "--custom-odt-header" or "--custom-odt-footer" command line options. For example, the following inserts a footer containing the page number and page count:: $ rst2odt.py --custom-odt-footer="Page %p% of %P%" f1.txt f1.odt Field specifiers ~~~~~~~~~~~~~~~~~~ You can use the following field specifiers to insert ``oowriter`` fields in your custom headers and footers: %p% The current page number. %P% The number of pages in the document. %d1% The current date in format 12/31/99. %d2% The current date in format 12/31/1999. %d3% The current date in format Dec 31, 1999. %d4% The current date in format December 31, 1999. %d5% The current date in format 1999-12-31. %t1% The current time in format 14:22. %t2% The current time in format 14:22:33. %t3% The current time in format 02:22 PM. %t4% The current time in format 02:22:33 PM. %a% The author of the document (actually the initial creator). %t% The document title. %s% The document subject. **Note:** The use of the above field specifiers in the body of your reStructuredText document is **not** supported, because these specifiers are not standard across Docutils writers. Credits ======= Stefan Merten designed and implemented the custom style names capability. Thank you, Stefan. Michael Schutte supports the Debian GNU/Linux distribution of ``odtwriter``. Thank you, Michael, for providing and supporting the Debian package. Michael Schutte implemented the fix that enables ``odtwriter`` to pick up the default paper size on platforms where the program ``paperconf`` is available. Thank you. .. _`Pygments`: https://pygments.org/ .. _`Docutils`: https://docutils.sourceforge.io/ .. _`Python Imaging Library`: https://en.wikipedia.org/wiki/Python_Imaging_Library .. _`Open Document at Wikipedia`: https://en.wikipedia.org/wiki/OpenDocument .. _`OASIS Open Document Format for Office Applications (OpenDocument) TC`: http://www.oasis-open.org/committees/tc_home.php?wg_abbrev=office ���������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/user/rst/������������0000775�0000000�0000000�00000000000�15141625651�0031410�5����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������cheatsheet.txt��������������������������������������������������������������������������������������0000664�0000000�0000000�00000015671�15141625651�0034221�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000�pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/user/rst��������������������������������������������������������������������������������===================================================== The reStructuredText_ Cheat Sheet: Syntax Reminders ===================================================== :Info: See <https://docutils.sourceforge.io/rst.html> for introductory docs. :Author: David Goodger <goodger@python.org> :Date: $Date$ :Revision: $Revision$ :Description: This is a "docinfo block", or bibliographic field list .. NOTE:: If you are reading this as HTML, please read `<cheatsheet.txt>`_ instead to see the input syntax examples! Section Structure ================= Section titles are underlined or overlined & underlined. Body Elements ============= Grid table: +--------------------------------+-----------------------------------+ | Paragraphs are flush-left, | Literal block, preceded by "::":: | | separated by blank lines. | | | | Indented | | Block quotes are indented. | | +--------------------------------+ or:: | | >>> print 'Doctest block' | | | Doctest block | > Quoted | +--------------------------------+-----------------------------------+ | | Line blocks preserve line breaks & indents. [new in 0.3.6] | | | Useful for addresses, verse, and adornment-free lists; long | | lines can be wrapped with continuation lines. | +--------------------------------------------------------------------+ Simple tables: ================ ============================================================ List Type Examples (syntax in the `text source <cheatsheet.txt>`_) ================ ============================================================ Bullet list * items begin with "-", "+", or "*" Enumerated list 1. items use any variation of "1.", "A)", and "(i)" #. also auto-enumerated Definition list Term is flush-left : optional classifier Definition is indented, no blank line between Field list :field name: field body Option list -o at least 2 spaces between option & description ================ ============================================================ ================ ============================================================ Explicit Markup Examples (visible in the `text source`_) ================ ============================================================ Footnote .. [1] Manually numbered or [#] auto-numbered (even [#labelled]) or [*] auto-symbol Citation .. [CIT2002] A citation. Hyperlink Target .. _reStructuredText: https://docutils.sourceforge.io/rst.html .. _indirect target: reStructuredText_ .. _internal target: Anonymous Target __ https://docutils.sourceforge.io/docs/ref/rst/restructuredtext.html Directive ("::") .. image:: images/biohazard.png Substitution Def .. |substitution| replace:: like an inline directive Comment .. is anything else Empty Comment (".." on a line by itself, with blank lines before & after, used to separate indentation contexts) ================ ============================================================ Inline Markup ============= *emphasis*; **strong emphasis**; `interpreted text`; `interpreted text with role`:emphasis:; ``inline literal text``; standalone hyperlink, https://docutils.sourceforge.io; named reference, reStructuredText_; `anonymous reference`__; footnote reference, [1]_; citation reference, [CIT2002]_; |substitution|; _`inline internal target`. Directive Quick Reference ========================= See <https://docutils.sourceforge.io/docs/ref/rst/directives.html> for full info. ================ ============================================================ Directive Name Description (Docutils version added to, in [brackets]) ================ ============================================================ attention Specific admonition; also "caution", "danger", "error", "hint", "important", "note", "tip", "warning" admonition Generic titled admonition: ``.. admonition:: By The Way`` image ``.. image:: picture.png``; many options possible figure Like "image", but with optional caption and legend topic ``.. topic:: Title``; like a mini section sidebar ``.. sidebar:: Title``; like a mini parallel document parsed-literal A literal block with parsed inline markup rubric ``.. rubric:: Informal Heading`` epigraph Block quote with class="epigraph" highlights Block quote with class="highlights" pull-quote Block quote with class="pull-quote" compound Compound paragraphs [0.3.6] container Generic block-level container element [0.3.10] table Create a titled table [0.3.1] list-table Create a table from a uniform two-level bullet list [0.3.8] csv-table Create a table from CSV data [0.3.4] contents Generate a table of contents sectnum Automatically number sections, subsections, etc. header, footer Create document decorations [0.3.8] target-notes Create an explicit footnote for each external target math Mathematical notation (input in LaTeX format) meta Document metadata include Read an external reST file as if it were inline raw Non-reST data passed untouched to the Writer replace Replacement text for substitution definitions unicode Unicode character code conversion for substitution defs date Generates today's date; for substitution defs class Set a "class" attribute on the next element role Create a custom interpreted text role [0.3.2] default-role Set the default interpreted text role [0.3.10] title Set the metadata document title [0.3.10] ================ ============================================================ Interpreted Text Role Quick Reference ===================================== See <https://docutils.sourceforge.io/docs/ref/rst/roles.html> for full info. ================ ============================================================ Role Name Description ================ ============================================================ emphasis Equivalent to *emphasis* literal Equivalent to ``literal`` but processes backslash escapes math Mathematical notation (input in LaTeX format) PEP Reference to a numbered Python Enhancement Proposal RFC Reference to a numbered Internet Request For Comments raw For non-reST data; cannot be used directly (see docs) [0.3.6] strong Equivalent to **strong** sub Subscript sup Superscript title Title reference (book, etc.); standard default role ================ ============================================================ �����������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/user/rst/demo.txt����0000664�0000000�0000000�00000035350�15141625651�0033103�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. This is a comment. Note how any initial comments are moved by transforms to after the document title, subtitle, and docinfo. ================================ reStructuredText Demonstration ================================ .. Above is the document title, and below is the subtitle. They are transformed from section titles after parsing. -------------------------------- Examples of Syntax Constructs -------------------------------- .. bibliographic fields (which also require a transform): :Author: David Goodger :Address: 123 Example Street Example, EX Canada A1B 2C3 :Contact: docutils-develop@lists.sourceforge.net :Authors: Me; Myself; I :organization: humankind :date: $Date$ :status: This is a "work in progress" :revision: $Revision$ :version: 1 :copyright: This document has been placed in the public domain. You may do with it as you wish. You may copy, modify, redistribute, reattribute, sell, buy, rent, lease, destroy, or improve it, quote it at length, excerpt, incorporate, collate, fold, staple, or mutilate it, or do anything else to it that your or anyone else's heart desires. :field name: This is a generic bibliographic field. :field name 2: Generic bibliographic fields may contain multiple body elements. Like this. :Dedication: For Docutils users & co-developers. :abstract: This document is a demonstration of the reStructuredText markup language, containing examples of all basic reStructuredText constructs and many advanced constructs. .. meta:: :keywords: reStructuredText, demonstration, demo, parser :description lang=en: A demonstration of the reStructuredText markup language, containing examples of all basic constructs and many advanced constructs. .. contents:: Table of Contents .. section-numbering:: Structural Elements =================== Section Title ------------- That's it, the text just above this line. Transitions ----------- Here's a transition: --------- It divides the section. Body Elements ============= Paragraphs ---------- A paragraph. Inline Markup ````````````` Paragraphs contain text and may contain inline markup: *emphasis*, **strong emphasis**, ``inline literals``, standalone hyperlinks (https://www.python.org), external hyperlinks (Python_), internal cross-references (example_), external hyperlinks with embedded URIs (`Python web site <https://www.python.org>`__), footnote references (manually numbered [1]_, anonymous auto-numbered [#]_, labeled auto-numbered [#label]_, or symbolic [*]_), citation references ([CIT2002]_), substitution references (|example|), and _`inline hyperlink targets` (see Targets_ below for a reference back to here). Character-level inline markup is also possible (although exceedingly ugly!) in *re*\ ``Structured``\ *Text*. Problems are indicated by |problematic| text (generated by processing errors; this one is intentional). The default role for interpreted text is `Title Reference`. Here are some explicit interpreted text roles: a PEP reference (:PEP:`287`); an RFC reference (:RFC:`2822`); a :sub:`subscript`; a :sup:`superscript`; and explicit roles for :emphasis:`standard` :strong:`inline` :literal:`markup`. .. DO NOT RE-WRAP THE FOLLOWING PARAGRAPH! Let's test wrapping and whitespace significance in inline literals: ``This is an example of --inline-literal --text, --including some-- strangely--hyphenated-words. Adjust-the-width-of-your-browser-window to see how the text is wrapped. -- ---- -------- Now note the spacing between the words of this sentence (words should be grouped in pairs).`` If the ``--pep-references`` option was supplied, there should be a live link to PEP 258 here. Bullet Lists ------------ - A bullet list + Nested bullet list. + Nested item 2. - Item 2. Paragraph 2 of item 2. * Nested bullet list. * Nested item 2. - Third level. - Item 2. * Nested item 3. Enumerated Lists ---------------- 1. Arabic numerals. a) lower alpha) (i) (lower roman) A. upper alpha. I) upper roman) 2. Lists that don't start at 1: 3. Three 4. Four C. C D. D iii. iii iv. iv #. List items may also be auto-enumerated. Definition Lists ---------------- Term Definition Term : classifier Definition paragraph 1. Definition paragraph 2. Term Definition Field Lists ----------- :what: Field lists map field names to field bodies, like database records. They are often part of an extension syntax. They are an unambiguous variant of RFC 2822 fields. :how arg1 arg2: The field marker is a colon, the field name, and a colon. The field body may contain one or more body elements, indented relative to the field marker. Option Lists ------------ For listing command-line options: -a command-line option "a" -b file options can have arguments and long descriptions --long options can be long also --input=file long options can also have arguments --very-long-option The description can also start on the next line. The description may contain multiple body elements, regardless of where it starts. -x, -y, -z Multiple options are an "option group". -v, --verbose Commonly-seen: short & long options. -1 file, --one=file, --two file Multiple options with arguments. /V DOS/VMS-style options too There must be at least two spaces between the option and the description. Literal Blocks -------------- Literal blocks are indicated with a double-colon ("::") at the end of the preceding paragraph (over there ``-->``). They can be indented:: if literal_block: text = 'is left as-is' spaces_and_linebreaks = 'are preserved' markup_processing = None Or they can be quoted without indentation:: >> Great idea! > > Why didn't I think of that? Line Blocks ----------- | This is a line block. It ends with a blank line. | Each new line begins with a vertical bar ("|"). | Line breaks and initial indents are preserved. | Continuation lines are wrapped portions of long lines; they begin with a space in place of the vertical bar. | The left edge of a continuation line need not be aligned with the left edge of the text above it. | This is a second line block. | | Blank lines are permitted internally, but they must begin with a "|". Take it away, Eric the Orchestra Leader! | A one, two, a one two three four | | Half a bee, philosophically, | must, *ipso facto*, half not be. | But half the bee has got to be, | *vis a vis* its entity. D'you see? | | But can a bee be said to be | or not to be an entire bee, | when half the bee is not a bee, | due to some ancient injury? | | Singing... Block Quotes ------------ Block quotes consist of indented body elements: My theory by A. Elk. Brackets Miss, brackets. This theory goes as follows and begins now. All brontosauruses are thin at one end, much much thicker in the middle and then thin again at the far end. That is my theory, it is mine, and belongs to me and I own it, and what it is too. -- Anne Elk (Miss) Doctest Blocks -------------- >>> print 'Python-specific usage examples; begun with ">>>"' Python-specific usage examples; begun with ">>>" >>> print '(cut and pasted from interactive Python sessions)' (cut and pasted from interactive Python sessions) Tables ------ Here's a grid table followed by a simple table: +------------------------+------------+----------+----------+ | Header row, column 1 | Header 2 | Header 3 | Header 4 | | (header rows optional) | | | | +========================+============+==========+==========+ | body row 1, column 1 | column 2 | column 3 | column 4 | +------------------------+------------+----------+----------+ | body row 2 | Cells may span columns. | +------------------------+------------+---------------------+ | body row 3 | Cells may | - Table cells | +------------------------+ span rows. | - contain | | body row 4 | | - body elements. | +------------------------+------------+----------+----------+ | body row 5 | Cells may also be | | | | empty: ``-->`` | | +------------------------+-----------------------+----------+ ===== ===== ====== Inputs Output ------------ ------ A B A or B ===== ===== ====== False False False True False True False True True True True True ===== ===== ====== Footnotes --------- .. [1] A footnote contains body elements, consistently indented by at least 3 spaces. This is the footnote's second paragraph. .. [#label] Footnotes may be numbered, either manually (as in [1]_) or automatically using a "#"-prefixed label. This footnote has a label so it can be referred to from multiple places, both as a footnote reference ([#label]_) and as a hyperlink reference (label_). .. [#] This footnote is numbered automatically and anonymously using a label of "#" only. .. [*] Footnotes may also use symbols, specified with a "*" label. Here's a reference to the next footnote: [*]_. .. [*] This footnote shows the next symbol in the sequence. .. [4] Here's an unreferenced footnote, with a reference to a nonexistent footnote: [5]_. Citations --------- .. [CIT2002] Citations are text-labeled footnotes. They may be rendered separately and differently from footnotes. Here's a reference to the above, [CIT2002]_, and a [nonexistent]_ citation. Targets ------- .. _example: This paragraph is pointed to by the explicit "example" target. A reference can be found under `Inline Markup`_, above. `Inline hyperlink targets`_ are also possible. Section headers are implicit targets, referred to by name. See Targets_, which is a subsection of `Body Elements`_. Explicit external targets are interpolated into references such as "Python_". .. _Python: https://www.python.org Targets may be indirect and anonymous. Thus `this phrase`__ may also refer to the Targets_ section. __ Targets_ Here's a `hyperlink reference without a target`_, which generates an error. Duplicate Target Names `````````````````````` Duplicate names in section headers or other implicit targets will generate "info" (level-1) system messages. Duplicate names in explicit targets will generate "warning" (level-2) system messages. Duplicate Target Names `````````````````````` Since there are two "Duplicate Target Names" section headers, we cannot uniquely refer to either of them by name. If we try to (like this: `Duplicate Target Names`_), an error is generated. Directives ---------- .. contents:: :local: These are just a sample of the many reStructuredText Directives. For others, please see https://docutils.sourceforge.io/docs/ref/rst/directives.html. Document Parts `````````````` An example of the "contents" directive can be seen above this section (a local, untitled table of contents_) and at the beginning of the document (a document-wide `table of contents`_). Images `````` An image directive (also clickable -- a hyperlink reference): .. image:: images/title.png :target: directives_ A figure directive: .. figure:: images/title.png :alt: reStructuredText, the markup syntax A figure is an image with a caption and/or a legend: +------------+-----------------------------------------------+ | re | Revised, revisited, based on 're' module. | +------------+-----------------------------------------------+ | Structured | Structure-enhanced text, structuredtext. | +------------+-----------------------------------------------+ | Text | Well it is, isn't it? | +------------+-----------------------------------------------+ This paragraph is also part of the legend. Admonitions ``````````` .. Attention:: Directives at large. .. Caution:: Don't take any wooden nickels. .. DANGER:: Mad scientist at work! .. Error:: Does not compute. .. Hint:: It's bigger than a bread box. .. Important:: - Wash behind your ears. - Clean up your room. - Call your mother. - Back up your data. .. Note:: This is a note. .. Tip:: 15% if the service is good. .. WARNING:: Strong prose may provoke extreme mental exertion. Reader discretion is strongly advised. .. admonition:: And, by the way... You can make up your own admonition too. Topics, Sidebars, and Rubrics ````````````````````````````` .. sidebar:: Optional Sidebar Title :subtitle: Optional Subtitle This is a sidebar. It is for text outside the flow of the main text. .. rubric:: This is a rubric inside a sidebar Sidebars often appears beside the main text with a border and background color. .. topic:: Topic Title This is a topic. .. rubric:: This is a rubric Target Footnotes ```````````````` .. target-notes:: Replacement Text ```````````````` I recommend you try |Python|_. .. |Python| replace:: Python, *the* best language around Compound Paragraph `````````````````` .. compound:: This paragraph contains a literal block:: Connecting... OK Transmitting data... OK Disconnecting... OK and thus consists of a simple paragraph, a literal block, and another simple paragraph. Nonetheless it is semantically *one* paragraph. This construct is called a *compound paragraph* and can be produced with the "compound" directive. Meta ```` The `“meta†directive`__ is used to specify metadata to be stored in, e.g., HTML META__ tags or ODT file properties. .. meta:: :keywords: reStructuredText, test, parser :description lang=en: A test document, containing at least one example of each reStructuredText construct. __ https://docutils.sourceforge.io/docs/ref/rst/directives.html#metadata __ https://developer.mozilla.org/en-US/docs/Web/HTML/Viewport_meta_tag Substitution Definitions ------------------------ An inline image (|example|) example: .. |EXAMPLE| image:: images/biohazard.png (Substitution definitions are not visible in the HTML source.) Comments -------- Here's one: .. Comments begin with two dots and a space. Anything may follow, except for the syntax of footnotes, hyperlink targets, directives, or substitution definitions. Double-dashes -- "--" -- must be escaped somehow in HTML output. (View the HTML source to see the comment.) Error Handling ============== Any errors caught during processing will generate system messages. |*** Expect 6 errors (including this one). ***| There should be six messages in the following, auto-generated section, "Docutils System Messages": .. section should be added by Docutils automatically 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ReStructuredText Primer ========================= :Author: Richard Jones :Version: $Revision$ :Copyright: This document has been placed in the public domain. .. contents:: The text below contains links that look like "(quickref__)". These are relative links that point to the `Quick reStructuredText`_ user reference. If these links don't work, please refer to the `master quick reference`_ document. __ .. _Quick reStructuredText: quickref.html .. _master quick reference: https://docutils.sourceforge.io/docs/user/rst/quickref.html .. Note:: This document is an informal introduction to reStructuredText. The `What Next?`_ section below has links to further resources, including a formal reference. Structure --------- From the outset, let me say that "Structured Text" is probably a bit of a misnomer. It's more like "Relaxed Text" that uses certain consistent patterns. These patterns are interpreted by a HTML converter to produce "Very Structured Text" that can be used by a web browser. The most basic pattern recognised is a **paragraph** (quickref__). That's a chunk of text that is separated by blank lines (one is enough). Paragraphs must have the same indentation -- that is, line up at their left edge. Paragraphs that start indented will result in indented quote paragraphs. For example:: This is a paragraph. It's quite short. This paragraph will result in an indented block of text, typically used for quoting other text. This is another one. Results in: This is a paragraph. It's quite short. This paragraph will result in an indented block of text, typically used for quoting other text. This is another one. __ quickref.html#paragraphs Text styles ----------- (quickref__) __ quickref.html#inline-markup Inside paragraphs and other bodies of text, you may additionally mark text for *italics* with "``*italics*``" or **bold** with "``**bold**``". This is called "inline markup". If you want something to appear as a fixed-space literal, use "````double back-quotes````". Note that no further fiddling is done inside the double back-quotes -- so asterisks "``*``" etc. are left alone. If you find that you want to use one of the "special" characters in text, it will generally be OK -- reStructuredText is pretty smart. For example, this lone asterisk * is handled just fine, as is the asterisk in this equation: 5*6=30. If you actually want text \*surrounded by asterisks* to **not** be italicised, then you need to indicate that the asterisk is not special. You do this by placing a backslash just before it, like so "``\*``" (quickref__), or by enclosing it in double back-quotes (inline literals), like this:: ``*`` __ quickref.html#escaping .. Tip:: Think of inline markup as a form of (parentheses) and use it the same way: immediately before and after the text being marked up. Inline markup by itself (surrounded by whitespace) or in the middle of a word won't be recognized. See the `markup spec`__ for full details. __ ../../ref/rst/restructuredtext.html#inline-markup Lists ----- Lists of items come in three main flavours: **enumerated**, **bulleted** and **definitions**. In all list cases, you may have as many paragraphs, sublists, etc. as you want, as long as the left-hand side of the paragraph or whatever aligns with the first line of text in the list item. Lists must always start a new paragraph -- that is, they must appear after a blank line. **enumerated** lists (numbers, letters or roman numerals; quickref__) __ quickref.html#enumerated-lists Start a line off with a number or letter followed by a period ".", right bracket ")" or surrounded by brackets "( )" -- whatever you're comfortable with. All of the following forms are recognised:: 1. numbers A. upper-case letters and it goes over many lines with two paragraphs and all! a. lower-case letters 3. with a sub-list starting at a different number 4. make sure the numbers are in the correct sequence though! I. upper-case roman numerals i. lower-case roman numerals (1) numbers again 1) and again Results in (note: the different enumerated list styles are not always supported by every web browser, so you may not get the full effect here): 1. numbers A. upper-case letters and it goes over many lines with two paragraphs and all! a. lower-case letters 3. with a sub-list starting at a different number 4. make sure the numbers are in the correct sequence though! I. upper-case roman numerals i. lower-case roman numerals (1) numbers again 1) and again **bulleted** lists (quickref__) __ quickref.html#bullet-lists Just like enumerated lists, start the line off with a bullet point character - either "-", "+" or "*":: * a bullet point using "*" - a sub-list using "-" + yet another sub-list - another item Results in: * a bullet point using "*" - a sub-list using "-" + yet another sub-list - another item **definition** lists (quickref__) __ quickref.html#definition-lists Unlike the other two, the definition lists consist of a term, and the definition of that term. The format of a definition list is:: what Definition lists associate a term with a definition. *how* The term is a one-line phrase, and the definition is one or more paragraphs or body elements, indented relative to the term. Blank lines are not allowed between term and definition. Results in: what Definition lists associate a term with a definition. *how* The term is a one-line phrase, and the definition is one or more paragraphs or body elements, indented relative to the term. Blank lines are not allowed between term and definition. Preformatting (code samples) ---------------------------- (quickref__) __ quickref.html#literal-blocks To just include a chunk of preformatted, never-to-be-fiddled-with text, finish the prior paragraph with "``::``". The preformatted block is finished when the text falls back to the same indentation level as a paragraph prior to the preformatted block. For example:: An example:: Whitespace, newlines, blank lines, and all kinds of markup (like *this* or \this) is preserved by literal blocks. Lookie here, I've dropped an indentation level (but not far enough) no more example Results in: An example:: Whitespace, newlines, blank lines, and all kinds of markup (like *this* or \this) is preserved by literal blocks. Lookie here, I've dropped an indentation level (but not far enough) no more example Note that if a paragraph consists only of "``::``", then it's removed from the output:: :: This is preformatted text, and the last "::" paragraph is removed Results in: :: This is preformatted text, and the last "::" paragraph is removed Sections -------- (quickref__) __ quickref.html#section-structure To break longer text up into sections, you use **section headers**. These are a single line of text (one or more words) with adornment: an underline alone, or an underline and an overline together, in dashes "``-----``", equals "``======``", tildes "``~~~~~~``" or any of the non-alphanumeric characters ``= - ` : ' " ~ ^ _ * + # < >`` that you feel comfortable with. An underline-only adornment is distinct from an overline-and-underline adornment using the same character. The underline/overline must be at least as long as the title text. Be consistent, since all sections marked with the same adornment style are deemed to be at the same level:: Chapter 1 Title =============== Section 1.1 Title ----------------- Subsection 1.1.1 Title ~~~~~~~~~~~~~~~~~~~~~~ Section 1.2 Title ----------------- Chapter 2 Title =============== This results in the following structure, illustrated by simplified pseudo-XML:: <section> <title> Chapter 1 Title <section> <title> Section 1.1 Title <section> <title> Subsection 1.1.1 Title <section> <title> Section 1.2 Title <section> <title> Chapter 2 Title (Pseudo-XML uses indentation for nesting and has no end-tags. It's not possible to show actual processed output, as in the other examples, because sections cannot exist inside block quotes. For a concrete example, compare the section structure of this document's source text and processed output.) Note that section headers are available as link targets, just using their name. To link to the Lists_ heading, I write "``Lists_``". If the heading has a space in it like `text styles`_, we need to quote the heading "```text styles`_``". Document Title / Subtitle ````````````````````````` The title of the whole document is distinct from section titles and may be formatted somewhat differently (e.g. the HTML writer by default shows it as a centered heading). To indicate the document title in reStructuredText, use a unique adornment style at the beginning of the document. To indicate the document subtitle, use another unique adornment style immediately after the document title. For example:: ================ Document Title ================ ---------- Subtitle ---------- Section Title ============= ... Note that "Document Title" and "Section Title" above both use equals signs, but are distict and unrelated styles. The text of overline-and-underlined titles (but not underlined-only) may be inset for aesthetics. Images ------ (quickref__) __ quickref.html#directives To include an image in your document, you use the the ``image`` directive__. For example:: .. image:: images/biohazard.png results in: .. image:: images/biohazard.png The ``images/biohazard.png`` part indicates the filename of the image you wish to appear in the document. There's no restriction placed on the image (format, size etc). If the image is to appear in HTML and you wish to supply additional information, you may:: .. image:: images/biohazard.png :height: 100 :width: 200 :scale: 50 :alt: alternate text See the full `image directive documentation`__ for more info. __ ../../ref/rst/directives.html __ ../../ref/rst/directives.html#images What Next? ---------- This primer introduces the most common features of reStructuredText, but there are a lot more to explore. The `Quick reStructuredText`_ user reference is a good place to go next. For complete details, the `reStructuredText Markup Specification`_ is the place to go [#]_. Users who have questions or need assistance with Docutils or reStructuredText should post a message to the Docutils-users_ mailing list. .. [#] If that relative link doesn't work, try the master document: https://docutils.sourceforge.io/docs/ref/rst/restructuredtext.html. .. _reStructuredText Markup Specification: ../../ref/rst/restructuredtext.html .. _Docutils-users: ../mailing-lists.html#docutils-users .. _Docutils project web site: https://docutils.sourceforge.io/ ����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/user/smartquotes.txt�0000664�0000000�0000000�00000027412�15141625651�0033736�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������========================= Smart Quotes for Docutils ========================= :Author: Günter Milde, based on SmartyPants by John Gruber, Brad Choate, and Chad Miller :Contact: docutils-develop@lists.sourceforge.net :Revision: $Revision$ :Date: $Date$ :License: Released under the terms of the `2-Clause BSD license`_ :Abstract: This document describes the Docutils `smartquotes` module. .. _2-Clause BSD license: http://opensource.org/licenses/BSD-2-Clause .. contents:: Description =========== The `"smart_quotes" configuration setting`_ triggers the SmartQuotes transformation on Text nodes that includes the following steps: - Straight quotes (``"`` and ``'``) into "curly" quote characters - dashes (``--`` and ``---``) into en- and em-dash entities - three consecutive dots (``...`` or ``. . .``) into an ellipsis entity. This means you can write, edit, and save your documents using plain old ASCII -- straight quotes, plain dashes, and plain dots -- while Docutils generates documents with typographical quotes, dashes, and ellipses. Advantages: * Typing speed (especially when blind-typing). * The possibility to change the quoting style of the complete document with just one configuration option. * Typographical quotes with just 7-bit ASCII characters in the source. However, there are `algorithmic shortcomings`_ for 2 reasons: * Dual use of the "ASCII-apostrophe" (') as single quote and apostrophe. * Languages that do not use whitespace around words. So, please consider also `Why You Might Not Want to Use "Smart" Quotes in Your Documents`_. .. _"smart_quotes" configuration setting: .. _"smart_quotes" setting: config.html#smart-quotes Escaping ======== The `SmartQuotes` transform does not modify characters in literal text such as source code, maths, or literal blocks. If you need literal straight quotes (or plain hyphens and periods) in normal text, you can `backslash escape`_ the characters to preserve ASCII-punctuation. .. class:: booktabs ========= ========= == ======== ========== Input Output Input Output ========= ========= == ======== ========== ``\\`` \\ ``\...`` \... ``\"`` \" ``\--`` \-- ``\'`` \' ``\``` \` ========= ========= == ======== ========== This is useful, for example, when you want to use straight quotes as foot and inch marks: 6\'2\" tall; a 17\" monitor. .. _backslash escape: ../ref/rst/restructuredtext.html#escaping-mechanism Localization ============ Quotation marks have a `variety of forms`__ in different languages and media. __ https://en.wikipedia.org/wiki/Quotation_mark#Summary_table `SmartQuotes` inserts quotation marks depending on the language of the current block element and the value of the `"smart_quotes" setting`_.\ [#x-altquot]_ There is built-in support for the following languages:\ [#smartquotes-locales]_ .. class:: run-in :af: .. class:: language-af "'Afrikaans' quotes" :af-x-altquot: .. class:: language-af-x-altquot "'Afrikaans' alternative quotes" :ca: .. class:: language-ca "'Catalan' quotes" :ca-x-altquot: .. class:: language-ca-x-altquot "'Catalan' alternative quotes" :cs: .. class:: language-cs "'Czech' quotes" :cs-x-altquot: .. class:: language-cs-x-altquot "'Czech' alternative quotes" :da: .. class:: language-da "'Danish' quotes" :da-x-altquot: .. class:: language-da-x-altquot "'Danish' alternative quotes" :de: .. class:: language-de "'German' quotes" :de-x-altquot: .. class:: language-de-x-altquot "'German' alternative quotes" :de-ch: .. class:: language-de-ch "'Swiss-German' quotes" :el: .. class:: language-el "'Greek' quotes" :en: .. class:: language-en "'English' quotes" :en-uk-x-altquot: .. class:: language-en-uk-x-altquot "'British' alternative quotes" (swaps single and double quotes) :eo: .. class:: language-eo "'Esperanto' quotes" :es: .. class:: language-es "'Spanish' quotes" :es-x-altquot: .. class:: language-es-x-altquot "'Spanish' alternative quotes" :et: .. class:: language-et "'Estonian' quotes" (no secondary quote listed in Wikipedia) :et-x-altquot: .. class:: language-et-x-altquot "'Estonian' alternative quotes" :eu: .. class:: language-eu "'Basque' quotes" :fi: .. class:: language-fi "'Finnish' quotes" :fi-x-altquot: .. class:: language-fi-x-altquot "'Finnish' alternative quotes" :fr: .. class:: language-fr "'French' quotes" :fr-x-altquot: .. class:: language-fr-x-altquot "'French' alternative quotes" :fr-ch: .. class:: language-fr-ch "'Swiss-French' quotes" :fr-ch-x-altquot: .. class:: language-fr-ch-x-altquot "'Swiss-French' alternative quotes" (narrow no-break space, see http://typoguide.ch/) :gl: .. class:: language-gl "'Galician' quotes" :he: .. class:: language-he "'Hebrew' quotes" :he-x-altquot: .. class:: language-he-x-altquot "'Hebrew' alternative quotes" :hr: .. class:: language-hr "'Croatian' quotes" :hr-x-altquot: .. class:: language-hr-x-altquot "'Croatian' alternative quotes" :hsb: .. class:: language-hsb "'Upper Sorbian' quotes" :hsb-x-altquot: .. class:: language-hsb-x-altquot "'Upper Sorbian' alternative quotes" :hu: .. class:: language-hu "'Hungarian' quotes" :is: .. class:: language-is "'Icelandic' quotes" :it: .. class:: language-it "'Italian' quotes" :it-ch: .. class:: language-it-ch "'Swiss-Italian' quotes" :it-x-altquot: .. class:: language-it-x-altquot "'Italian' alternative quotes" :ja: .. class:: language-ja "'Japanese' quotes" :lt: .. class:: language-lt "'Lithuanian' quotes" :lv: .. class:: language-lv "'Latvian' quotes" :nl: .. class:: language-nl "'Dutch' quotes" :nl-x-altquot: .. class:: language-nl-x-altquot "'Dutch' alternative quotes" .. # 'nl-x-altquot2': 'â€â€â€™â€™', :pl: .. class:: language-pl "'Polish' quotes" :pl-x-altquot: .. class:: language-pl-x-altquot "'Polish' alternative quotes" :pt: .. class:: language-pt "'Portuguese' quotes" :pt-br: .. class:: language-pt-br "'Portuguese (Brazil)' quotes" :ro: .. class:: language-ro "'Romanian' quotes" :ru: .. class:: language-ru "'Russian' quotes" :sh: .. class:: language-sh "'Serbo-Croatian' quotes" :sh-x-altquot: .. class:: language-sh-x-altquot "'Serbo-Croatian' alternative quotes" :sk: .. class:: language-sk "'Slovak' quotes" :sk-x-altquot: .. class:: language-sk-x-altquot "'Slovak' alternative quotes" :sl: .. class:: language-sl "'Slovenian' quotes" :sl-x-altquot: .. class:: language-sl-x-altquot "'Slovenian' alternative quotes" :sr: .. class:: language-sr "'Serbian' quotes" :sr-x-altquot: .. class:: language-sr-x-altquot "'Serbian' alternative quotes" :sv: .. class:: language-sv "'Swedish' quotes" :sv-x-altquot: .. class:: language-sv-x-altquot "'Swedish' alternative quotes" :tr: .. class:: language-tr "'Turkish' quotes" :tr-x-altquot: .. class:: language-tr-x-altquot "'Turkish' alternative quotes" .. 'tr-x-altquot2': '“„‘‚', # antiquated? :uk: .. class:: language-uk "'Ukrainian' quotes" :uk-x-altquot: .. class:: language-uk-x-altquot "'Ukrainian' alternative quotes" :zh-cn: .. class:: language-zh-cn "'Chinese (China)' quotes" :zh-tw: .. class:: language-zh-tw "'Chinese (Taiwan)' quotes" Quotes in text blocks in a non-configured language are kept as plain quotes: :undefined: .. class:: language-undefined-example "'Undefined' quotes" .. [#x-altquot] Tags with the non-standard extension ``-x-altquot`` define the quote set used with the `"smart_quotes" setting`_ value ``"alt"``. .. [#smartquotes-locales] The definitions for language-dependend typographical quotes can be extended or overwritten using the `"smartquotes_locales" setting`_. The following example ensures a correct leading apostrophe in ``'s Gravenhage`` (at the cost of incorrect leading single quotes) in Dutch and sets French quotes to double and single guillemets with inner spacing:: smartquote-locales: nl: „â€â€™â€™ fr: « : »:‹ : › .. _"smartquotes_locales" setting: config.html#smartquotes-locales Caveats ======= Why You Might Not Want to Use "Smart" Quotes in Your Documents -------------------------------------------------------------- For one thing, you might not care. Most normal, mentally stable individuals do not take notice of proper typographic punctuation. Many design and typography nerds, however, break out in a nasty rash when they encounter, say, a restaurant sign that uses a straight apostrophe to spell "Joe's". If you're the sort of person who just doesn't care, you might well want to continue not caring. Using straight quotes -- and sticking to the 7-bit ASCII character set in general -- is certainly a simpler way to live. Even if you *do* care about accurate typography, you still might want to think twice before "auto-educating" the quote characters in your documents. As there is always a chance that the algorithm gets it wrong, you may instead prefer to use the compose key or some other means to insert the correct Unicode characters into the source. Algorithmic Shortcomings ------------------------ The ASCII character (u0027 APOSTROPHE) is used for apostrophe and single quotes. If used inside a word, it is converted into an apostrophe: .. class:: language-fr Il dit : "C'est 'super' !" At the beginning or end of a word, it cannot be distinguished from a single quote by the algorithm. The `right single quotation mark`_ character -- used to close a secondary (inner) quote in English -- is also "the preferred character to use for apostrophe" (Unicode_). Therefore, "educating" works as expected for apostrophes at the end of a word, e.g., Mr. Hastings' pen; three days' leave; my two cents' worth. However, when apostrophes are used at the start of leading contractions, "educating" will turn the apostrophe into an *opening* secondary quote. In English, this is *not* the apostrophe character, e.g., ``'Twas brillig`` is "miseducated" to 'Twas brillig. In other locales (French, Italian, German, ...), secondary closing quotes differ from the apostrophe. A text like:: .. class:: language-de-CH "Er sagt: 'Ich fass' es nicht.'" becomes «Er sagt: ‹Ich fass› es nicht.›» with a single closing guillemet in place of the apostrophe. In such cases, it's best to use the recommended apostrophe character (’) in the source: | ’Twas brillig, and the slithy toves | Did gyre and gimble in the wabe; | All mimsy were the borogoves, | And the mome raths outgrabe. .. _right single quotation mark: http://www.fileformat.info/info/unicode/char/2019/index.htm .. _Unicode: https://www.unicode.org/charts/PDF/U2000.pdf History ======= The smartquotes module is an adaption of "SmartyPants_" to Docutils. `John Gruber`_ did all of the hard work of writing this software in Perl for `Movable Type`_ and almost all of this useful documentation. `Chad Miller`_ ported it to Python to use with Pyblosxom_. Portions of the SmartyPants original work are based on Brad Choate's nifty MTRegex plug-in. `Brad Choate`_ also contributed a few bits of source code to this plug-in. Brad Choate is a fine hacker indeed. `Jeremy Hedley`_ and `Charles Wiltgen`_ deserve mention for exemplary beta testing of the original SmartyPants. Internationalization and adaption to Docutils by Günter Milde. .. _SmartyPants: http://daringfireball.net/projects/smartypants/ .. _Pyblosxom: http://pyblosxom.bluesock.org/ .. _Movable Type: http://www.movabletype.org/ .. _John Gruber: http://daringfireball.net/ .. _Chad Miller: http://web.chad.org/ .. _Brad Choate: http://bradchoate.com/ .. _Jeremy Hedley: http://antipixel.com/ .. _Charles Wiltgen: http://playbacktime.com/ .. _Rael Dornfest: http://raelity.org/ ������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/data/docs/user/tools.txt�������0000664�0000000�0000000�00000041703�15141625651�0032506�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������========================== Docutils Front-End Tools ========================== :Author: David Goodger :Contact: docutils-develop@lists.sourceforge.net :Revision: $Revision$ :Date: $Date$ :Copyright: This document has been placed in the public domain. .. contents:: -------------- Introduction -------------- Once the Docutils package is unpacked, you will discover a ``tools/`` directory containing several front ends for common Docutils processing. In addition to the `generic command line front end`_, Docutils has many small front ends, each specialized for a specific "Reader" (which knows how to interpret a file in context), a "Parser" (which understands the syntax of the text), and a "Writer" (which knows how to generate a specific data format). Most [#]_ front ends have common options and the same command-line usage pattern (see `the tools`_ below for concrete examples):: toolname [options] [<source> [<destination>]] Each tool has a "``--help``" option which lists the `command-line options`_ and arguments it supports. Processing can also be customized with `configuration files`_. The two arguments, "source" and "destination", are optional. If only one argument (source) is specified, the standard output (stdout) is used for the destination. If no arguments are specified, the standard input (stdin) is used for the source. .. note:: Docutils front-end tool support is currently under discussion. Tool names, install details and the set of auto-installed tools may change in future Docutils versions. .. [#] The exceptions are buildhtml.py_ and rst2odt_prepstyles.py_. Getting Help ============ First, try the "``--help``" option each front-end tool has. Command line options and their corresponding configuration file entries are detailed in `Docutils Configuration`_. Users who have questions or need assistance with Docutils or reStructuredText should post a message to the Docutils-users_ mailing list. .. _Docutils-users: mailing-lists.html#docutils-users ----------- The Tools ----------- Generic Command Line Front End ============================== :Readers: Standalone, PEP :Parsers: reStructuredText, Markdown (requires 3rd party packages) :Writers: html_, html4css1_, html5_, latex__, manpage_, odt_, pep_html_, pseudo-xml_, s5_html_, xelatex_, xml_, :Config_: See `[docutils application]`_ The generic front end allows combining "reader", "parser", and "writer" components from the Docutils package or 3rd party plug-ins. Since Docutils 0.19, it can be called by Python's ``-m`` option, the ``docutils`` script installed in the binary PATH, or the ``docutils-cli.py`` script in the ``tools/`` directory. For example, to process a Markdown_ file "``test.md``" into Pseudo-XML_ :: python3 -m docutils --parser=markdown --writer=pseudoxml\ test.md test.txt Use the "--help" option together with the component-selection options to get the correct list of supported command-line options. Example:: docutils --parser=markdown --writer=xml --help __ .. _latex2e: .. _Generating LaTeX with Docutils: latex.html .. _manpage: manpage.html .. _Markdown: https://www.markdownguide.org/ .. _[docutils application]: config.html#docutils-application HTML-Generating Tools ===================== buildhtml.py ------------ :Readers: Standalone, PEP :Parser: reStructuredText :Writers: html_, html5_, pep_html_ :Config_: `[buildhtml application]`_ Use ``buildhtml.py`` to generate ``*.html`` from all the ``*.txt`` files (including PEPs) in each <directory> given, and their subdirectories too. (Use the ``--local`` option to skip subdirectories.) Usage:: buildhtml.py [options] [<directory> ...] After unpacking the Docutils package, the following shell commands will generate HTML for all included documentation:: cd docutils/tools buildhtml.py .. For official releases, the directory may be called "docutils-X.Y", where "X.Y" is the release version. Alternatively:: cd docutils tools/buildhtml.py --config=tools/docutils.conf The current directory (and all subdirectories) is chosen by default if no directory is named. Some files may generate system messages (docs/user/rst/demo.txt contains intentional errors); use the ``--quiet`` option to suppress all warnings. The ``--config`` option ensures that the correct settings are in place (a ``docutils.conf`` `configuration file`_ in the current directory is picked up automatically). Command-line options may be used to override config file settings or replace them altogether. .. _[buildhtml application]: config.html#buildhtml-application .. _configuration file: `configuration files`_ rst2html.py ----------- :Reader: Standalone :Parser: reStructuredText :Writer: html_ `rst2html.py` is the front-end for the default Docutils HTML writer. The default writer may change with the development of HTML, browsers, Docutils, and the web. Currently, it is html4css1_. .. caution:: Use a specific front end like rst2html4.py_ or rst2html5.py_, if you depend on stability of the generated HTML code (e.g., because you use a custom style sheet or post-processing that may break otherwise). rst2html4.py ------------ :Reader: Standalone :Parser: reStructuredText :Writer: html4css1_ The ``rst2html4.py`` front end reads standalone reStructuredText source files and produces `XHTML 1.0 Transitional`_ output. A CSS stylesheet is required for proper rendering; a simple but complete stylesheet is installed and used by default (see Stylesheets_ below). For example, to process a reStructuredText file "``test.txt``" into HTML:: rst2html.py test.txt test.html Now open the "``test.html``" file in your favorite browser to see the results. To get a footer with a link to the source file, date & time of processing, and links to the Docutils project, add some options:: rst2html.py -stg test.txt test.html Stylesheets ``````````` ``rst2html.py`` inserts into the generated HTML a cascading stylesheet (or a link to a stylesheet, when passing the "``--link-stylesheet``" option). A stylesheet is required for proper rendering. The default stylesheet (``docutils/writers/html4css1/html4css1.css``, located in the installation directory) is provided for basic use. To use different stylesheet(s), specify the stylesheets' location(s) as comma-separated list with the "``--stylesheet``" (for a URL) or "``--stylesheet-path``" (for a local file) command-line option, or with `configuration file`_ settings (e.g. ``./docutils.conf`` or ``~/.docutils``). To experiment with styles, please see the `guide to writing HTML (CSS) stylesheets for Docutils`__. __ ../howto/html-stylesheets.html .. _html4css1: html.html#html4css1 .. _html: html.html#html rst2html5.py ------------ :Reader: Standalone :Parser: reStructuredText :Writer: html5_ The ``rst2html5.py`` front end reads standalone reStructuredText source files and produces `HTML 5`_ output. Correct rendering of elements not directly supported by HTML depends on a CSS style sheet. The provided style sheets ``minimal.css`` and ``plain.css`` define required and optional styling rules respectively. .. _html5: html.html#html5-polyglot rstpep2html.py -------------- :Reader: PEP :Parser: reStructuredText :Writer: pep_html_ ``rstpep2html.py`` reads a new-style PEP (marked up with reStructuredText) and produces `XHTML 1.0 Transitional`_. It requires a template file and a stylesheet. By default, it makes use of a "``pep-html-template``" file and the "``pep.css``" stylesheet (both in the ``docutils/writers/pep_html/`` directory), but these can be overridden by command-line options or configuration files. For example, to process a PEP into HTML:: cd <path-to-docutils>/docs/peps rstpep2html.py pep-0287.txt pep-0287.html .. _pep_html: html.html#pep-html rst2s5.py --------- :Reader: Standalone :Parser: reStructuredText :Writer: s5_html_ The ``rst2s5.py`` front end reads standalone reStructuredText source files and produces (X)HTML output compatible with S5_, the "Simple Standards-based Slide Show System" by Eric Meyer. A theme is required for proper rendering; several are distributed with Docutils and others are available; see Themes_ below. For example, to process a reStructuredText file "``slides.txt``" into S5/HTML:: rst2s5.py slides.txt slides.html Now open the "``slides.html``" file in your favorite browser, switch to full-screen mode, and enjoy the results. .. _S5: http://meyerweb.com/eric/tools/s5/ .. _s5_html: html.html#s5-html Themes `````` Each S5 theme consists of a directory containing several files: stylesheets, JavaScript, and graphics. These are copied into a ``ui/<theme>`` directory beside the generated HTML. A theme is chosen using the "``--theme``" option (for themes that come with Docutils) or the "``--theme-url``" option (for themes anywhere). For example, the "medium-black" theme can be specified as follows:: rst2s5.py --theme medium-black slides.txt slides.html The theme will be copied to the ``ui/medium-black`` directory. Several themes are included with Docutils: ``default`` This is a simplified version of S5's default theme. :Main content: black serif text on a white background :Text capacity: about 13 lines :Headers: light blue, bold sans-serif text on a dark blue background; titles are limited to one line :Footers: small, gray, bold sans-serif text on a dark blue background ``small-white`` (Small text on a white background.) :Main content: black serif text on a white background :Text capacity: about 15 lines :Headers: black, bold sans-serif text on a white background; titles wrap :Footers: small, dark gray, bold sans-serif text on a white background ``small-black`` :Main content: white serif text on a black background :Text capacity: about 15 lines :Headers: white, bold sans-serif text on a black background; titles wrap :Footers: small, light gray, bold sans-serif text on a black background ``medium-white`` :Main content: black serif text on a white background :Text capacity: about 9 lines :Headers: black, bold sans-serif text on a white background; titles wrap :Footers: small, dark gray, bold sans-serif text on a white background ``medium-black`` :Main content: white serif text on a black background :Text capacity: about 9 lines :Headers: white, bold sans-serif text on a black background; titles wrap :Footers: small, light gray, bold sans-serif text on a black background ``big-white`` :Main content: black, bold sans-serif text on a white background :Text capacity: about 5 lines :Headers: black, bold sans-serif text on a white background; titles wrap :Footers: not displayed ``big-black`` :Main content: white, bold sans-serif text on a black background :Text capacity: about 5 lines :Headers: white, bold sans-serif text on a black background; titles wrap :Footers: not displayed If a theme directory contains a file named ``__base__``, the name of the theme's base theme will be read from it. Files are accumulated from the named theme, any base themes, and the "default" theme (which is the implicit base of all themes). For details, please see `Easy Slide Shows With reStructuredText & S5 <slide-shows.html>`_. .. _HTML 5: https://www.w3.org/TR/html5/ .. _HTML 4.1: https://www.w3.org/TR/html401/ .. _XHTML 1.0 Transitional: https://www.w3.org/TR/xhtml1/ .. _XHTML 1.1: https://www.w3.org/TR/xhtml1/ LaTeX-Generating Tools ====================== rst2latex.py ------------ :Reader: Standalone :Parser: reStructuredText :Writer: latex2e_ The ``rst2latex.py`` front end reads standalone reStructuredText source files and produces LaTeX_ output. For example, to process a reStructuredText file "``test.txt``" into LaTeX:: rst2latex.py test.txt test.tex The output file "``test.tex``" should then be processed with ``latex`` or ``pdflatex`` to get a document in DVI, PostScript or PDF format for printing or on-screen viewing. For details see `Generating LaTeX with Docutils`_. rst2xetex.py ------------ :Reader: Standalone :Parser: reStructuredText :Writer: _`xelatex` The ``rst2xetex.py`` front end reads standalone reStructuredText source files and produces `LaTeX` output for processing with Unicode-aware TeX engines (`LuaTeX`_ or `XeTeX`_). For example, to process a reStructuredText file "``test.txt``" into LaTeX:: rst2xetex.py test.txt test.tex The output file "``test.tex``" should then be processed with ``xelatex`` or ``lualatex`` to get a document in PDF format for printing or on-screen viewing. For details see `Generating LaTeX with Docutils`_. .. _LaTeX: https://en.wikipedia.org/wiki/LaTeX .. _XeTeX: https://en.wikipedia.org/wiki/XeTeX .. _LuaTeX: https://en.wikipedia.org/wiki/LuaTeX Man-Page-Generating Tools ========================= rst2man.py ---------- :Reader: Standalone :Parser: reStructuredText :Writer: manpage_ The ``rst2man.py`` front end reads standalone reStructuredText source files and produces troff_ sources for Unix man pages. .. _troff: https://troff.org/ ODF/OpenOffice-Generating Tools =============================== rst2odt.py ---------- :Reader: Standalone :Parser: reStructuredText :Writer: odt_ The ``rst2odt.py`` front end reads standalone reStructuredText source files and produces ODF/.odt files that can be read, edited, printed, etc with OpenOffice_ ``oowriter`` or LibreOffice_ ``lowriter``. A stylesheet file is required. A stylesheet file is an OpenOffice .odt file containing definitions of the styles required for ``rst2odt.py``. For details, see `Odt Writer for Docutils`_. .. _OpenOffice: https://www.openoffice.org/ .. _LibreOffice: https://www.libreoffice.org/ .. _odt: .. _Odt Writer for Docutils: odt.html rst2odt_prepstyles.py ````````````````````` A helper tool to fix a word-processor-generated STYLE_FILE.odt for odtwriter use:: rst2odt_prepstyles STYLE_FILE.odt See `Odt Writer for Docutils`__ for details. __ odt.html#page-size reStructuredText-Generating Tools ================================= Currently, there is no reStructuredText writer in Docutils and therefore an ``rst2rst.py`` tool is still missing. To generate reStructuredText documents with Docutils, you can use the XML (Docutils native) writer and the xml2rst_ processor. XML-Generating Tools ==================== rst2xml.py ---------- :Reader: Standalone :Parser: reStructuredText :Writer: _`XML` (Docutils native) The ``rst2xml.py`` front end produces Docutils-native XML output. This can be transformed with standard XML tools such as XSLT processors into arbitrary final forms. An example is the xml2rst_ processor in the Docutils sandbox. .. _xml2rst: ../../../sandbox/xml2rst Testing/Debugging Tools ======================= rst2pseudoxml.py ---------------- :Reader: Standalone :Parser: reStructuredText :Writer: _`Pseudo-XML` ``rst2pseudoxml.py`` is used for debugging the Docutils "Reader to Transform to Writer" pipeline. It produces a compact pretty-printed "pseudo-XML", where nesting is indicated by indentation (no end-tags). External attributes for all elements are output, and internal attributes for any leftover "pending" elements are also given. quicktest.py ------------ :Reader: N/A :Parser: reStructuredText :Writer: N/A The ``quicktest.py`` tool is used for testing the reStructuredText parser. It does not use a Docutils Reader or Writer or the standard Docutils command-line options. Rather, it does its own I/O and calls the parser directly. No transforms are applied to the parsed document. Possible output forms output include: --pretty Pretty-printed pseudo-XML (default) --test Test data (Python list of input and pseudo-XML output strings; useful for creating new test cases) --xml Pretty-printed native XML --rawxml Raw native XML (with or without a stylesheet reference) --help Usage hint and complete list of supported options. --------------- Customization --------------- Most front-end tools support the options/settings from the generic `configuration file sections`_ plus the sections of their components (reader, writer, parser). [#]_ Some front-end tools also add application-specific settings. .. [#] The exceptions are quicktest.py_ and rst2odt_prepstyles.py_. Command-Line Options ==================== Command-line options are intended for one-off customization. They take priority over configuration file settings. Use the "--help" option on each of the front ends to list the command-line options it supports. Configuration Files =================== Configuration files are used for persistent customization; they can be set once and take effect every time you use a front-end tool. Command-line options and their corresponding configuration file entry names are listed in the `Docutils Configuration`_ document. .. _Docutils Configuration: config.html .. _Config: .. _configuration file sections: config.html#configuration-file-sections-entries .. Local Variables: mode: indented-text indent-tabs-mode: nil sentence-end-double-space: t fill-column: 70 End: �������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/pyproject.toml�����������������0000664�0000000�0000000�00000000400�15141625651�0030667�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������[project] name = "pyperformance_bm_docutils" requires-python = ">=3.8" dependencies = [ "pyperf", "docutils", ] urls.repository = "https://github.com/python/pyperformance" dynamic = ["version"] [tool.pyperformance] name = "docutils" tags = "apps" ����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/requirements.txt���������������0000664�0000000�0000000�00000000021�15141625651�0031236�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������docutils==0.18.1 ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_docutils/run_benchmark.py���������������0000664�0000000�0000000�00000003067�15141625651�0031157�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������""" Convert Docutils' documentation from reStructuredText to <format>. """ import contextlib from pathlib import Path import docutils from docutils import core import pyperf try: from docutils.utils.math.math2html import Trace except ImportError: pass else: Trace.show = lambda message, channel: ... # don't print to console DOC_ROOT = (Path(__file__).parent / "data" / "docs").resolve() def build_html(doc_root): elapsed = 0 for file in doc_root.rglob("*.txt"): file_contents = file.read_text(encoding="utf-8") t0 = pyperf.perf_counter() with contextlib.suppress(docutils.ApplicationError): core.publish_string(source=file_contents, reader_name="standalone", parser_name="restructuredtext", writer_name="html5", settings_overrides={ "input_encoding": "unicode", "output_encoding": "unicode", "report_level": 5, }) elapsed += pyperf.perf_counter() - t0 return elapsed def bench_docutils(loops, doc_root): runs_total = 0 for _ in range(loops): runs_total += build_html(doc_root) return runs_total if __name__ == "__main__": runner = pyperf.Runner() runner.metadata['description'] = "Render documentation with Docutils" args = runner.parse_args() runner.bench_time_func("docutils", bench_docutils, DOC_ROOT) �������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_dulwich_log/����������������������������0000775�0000000�0000000�00000000000�15141625651�0026433�5����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_dulwich_log/data/�����������������������0000775�0000000�0000000�00000000000�15141625651�0027344�5����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_dulwich_log/data/asyncio.git/�����������0000775�0000000�0000000�00000000000�15141625651�0031573�5����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������COMMIT_EDITMSG��������������������������������������������������������������������������������������0000664�0000000�0000000�00000002654�15141625651�0033612�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000�pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_dulwich_log/data/asyncio.git�������������������������������������������������������������������������������fix ResourceWarning related to subprocesses Python issue #26741: BaseSubprocessTransport._process_exited() now copies the return code from the child watched to the returncode attribute of the Popen object. On Python 3.6, it is required to avoid a ResourceWarning. # Veuillez saisir le message de validation pour vos modifications. Les lignes # commençant par '#' seront ignorées, et un message vide abandonne la validation. # Sur la branche master # Votre branche est à jour avec 'origin/master'. # # Modifications qui seront validées : # modifié : asyncio/base_subprocess.py # # Fichiers non suivis non affichés # ------------------------ >8 ------------------------ # Ne touchez pas à la ligne ci-dessus # Tout se qui suit sera éliminé. diff --git a/asyncio/base_subprocess.py b/asyncio/base_subprocess.py index 08080bd..8fc253c 100644 --- a/asyncio/base_subprocess.py +++ b/asyncio/base_subprocess.py @@ -210,6 +210,10 @@ def _process_exited(self, returncode): logger.info('%r exited with return code %r', self, returncode) self._returncode = returncode + if self._proc.returncode is None: + # asyncio uses a child watcher: copy the status into the Popen + # object. On Python 3.6, it is required to avoid a ResourceWarning. + self._proc.returncode = returncode self._call(self._protocol.process_exited) self._try_finish() ������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_dulwich_log/data/asyncio.git/FETCH_HEAD�0000664�0000000�0000000�00000000127�15141625651�0033130�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������bea3a4247a450be7fb82dec111429bb2752aac4d branch 'master' of github.com:python/asyncio �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_dulwich_log/data/asyncio.git/HEAD�������0000664�0000000�0000000�00000000027�15141625651�0032216�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������ref: refs/heads/master ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_dulwich_log/data/asyncio.git/ORIG_HEAD��0000664�0000000�0000000�00000000051�15141625651�0033033�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������38fdb004db674f32b7a38ee294db5546bae0a432 ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_dulwich_log/data/asyncio.git/config�����0000664�0000000�0000000�00000000402�15141625651�0032757�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������[core] repositoryformatversion = 0 filemode = true bare = false logallrefupdates = true [remote "origin"] url = git@github.com:python/asyncio.git fetch = +refs/heads/*:refs/remotes/origin/* [branch "master"] remote = origin merge = refs/heads/master ��������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_dulwich_log/data/asyncio.git/description0000664�0000000�0000000�00000000111�15141625651�0034032�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������Unnamed repository; edit this file 'description' to name the repository. �������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_dulwich_log/data/asyncio.git/hooks/�����0000775�0000000�0000000�00000000000�15141625651�0032716�5����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������applypatch-msg.sample�������������������������������������������������������������������������������0000775�0000000�0000000�00000000704�15141625651�0036777�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000�pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_dulwich_log/data/asyncio.git/hooks�������������������������������������������������������������������������#!/bin/sh # # An example hook script to check the commit log message taken by # applypatch from an e-mail message. # # The hook should exit with non-zero status after issuing an # appropriate message if it wants to stop the commit. The hook is # allowed to edit the commit message file. # # To enable this hook, rename this file to "applypatch-msg". . git-sh-setup test -x "$GIT_DIR/hooks/commit-msg" && exec "$GIT_DIR/hooks/commit-msg" ${1+"$@"} : ������������������������������������������������������������commit-msg.sample�����������������������������������������������������������������������������������0000775�0000000�0000000�00000001600�15141625651�0036116�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000�pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_dulwich_log/data/asyncio.git/hooks�������������������������������������������������������������������������#!/bin/sh # # An example hook script to check the commit log message. # Called by "git commit" with one argument, the name of the file # that has the commit message. The hook should exit with non-zero # status after issuing an appropriate message if it wants to stop the # commit. The hook is allowed to edit the commit message file. # # To enable this hook, rename this file to "commit-msg". # Uncomment the below to add a Signed-off-by line to the message. # Doing this in a hook is a bad idea in general, but the prepare-commit-msg # hook is more suited to it. # # SOB=$(git var GIT_AUTHOR_IDENT | sed -n 's/^\(.*>\).*$/Signed-off-by: \1/p') # grep -qs "^$SOB" "$1" || echo "$SOB" >> "$1" # This example catches duplicate Signed-off-by lines. test "" = "$(grep '^Signed-off-by: ' "$1" | sort | uniq -c | sed -e '/^[ ]*1[ ]/d')" || { echo >&2 Duplicate Signed-off-by lines. exit 1 } ��������������������������������������������������������������������������������������������������������������������������������post-update.sample����������������������������������������������������������������������������������0000775�0000000�0000000�00000000275�15141625651�0036316�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000�pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_dulwich_log/data/asyncio.git/hooks�������������������������������������������������������������������������#!/bin/sh # # An example hook script to prepare a packed repository for use over # dumb transports. # # To enable this hook, rename this file to "post-update". exec git update-server-info �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pre-applypatch.sample�������������������������������������������������������������������������������0000775�0000000�0000000�00000000616�15141625651�0037001�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000�pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_dulwich_log/data/asyncio.git/hooks�������������������������������������������������������������������������#!/bin/sh # # An example hook script to verify what is about to be committed # by applypatch from an e-mail message. # # The hook should exit with non-zero status after issuing an # appropriate message if it wants to stop the commit. # # To enable this hook, rename this file to "pre-applypatch". . git-sh-setup test -x "$GIT_DIR/hooks/pre-commit" && exec "$GIT_DIR/hooks/pre-commit" ${1+"$@"} : ������������������������������������������������������������������������������������������������������������������pre-commit.sample�����������������������������������������������������������������������������������0000775�0000000�0000000�00000003152�15141625651�0036122�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000�pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_dulwich_log/data/asyncio.git/hooks�������������������������������������������������������������������������#!/bin/sh # # An example hook script to verify what is about to be committed. # Called by "git commit" with no arguments. The hook should # exit with non-zero status after issuing an appropriate message if # it wants to stop the commit. # # To enable this hook, rename this file to "pre-commit". if git rev-parse --verify HEAD >/dev/null 2>&1 then against=HEAD else # Initial commit: diff against an empty tree object against=4b825dc642cb6eb9a060e54bf8d69288fbee4904 fi # If you want to allow non-ASCII filenames set this variable to true. allownonascii=$(git config --bool hooks.allownonascii) # Redirect output to stderr. exec 1>&2 # Cross platform projects tend to avoid non-ASCII filenames; prevent # them from being added to the repository. We exploit the fact that the # printable range starts at the space character and ends with tilde. if [ "$allownonascii" != "true" ] && # Note that the use of brackets around a tr range is ok here, (it's # even required, for portability to Solaris 10's /usr/bin/tr), since # the square bracket bytes happen to fall in the designated range. test $(git diff --cached --name-only --diff-filter=A -z $against | LC_ALL=C tr -d '[ -~]\0' | wc -c) != 0 then cat <<\EOF Error: Attempt to add a non-ASCII file name. This can cause problems if you want to work with people on other platforms. To be portable it is advisable to rename the file. If you know what you are doing you can disable this check using: git config hooks.allownonascii true EOF exit 1 fi # If there are whitespace errors, print the offending file names and fail. exec git diff-index --check --cached $against -- ����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pre-push.sample�������������������������������������������������������������������������������������0000775�0000000�0000000�00000002504�15141625651�0035611�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000�pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_dulwich_log/data/asyncio.git/hooks�������������������������������������������������������������������������#!/bin/sh # An example hook script to verify what is about to be pushed. Called by "git # push" after it has checked the remote status, but before anything has been # pushed. If this script exits with a non-zero status nothing will be pushed. # # This hook is called with the following parameters: # # $1 -- Name of the remote to which the push is being done # $2 -- URL to which the push is being done # # If pushing without using a named remote those arguments will be equal. # # Information about the commits which are being pushed is supplied as lines to # the standard input in the form: # # <local ref> <local sha1> <remote ref> <remote sha1> # # This sample shows how to prevent push of commits where the log message starts # with "WIP" (work in progress). remote="$1" url="$2" z40=0000000000000000000000000000000000000000 while read local_ref local_sha remote_ref remote_sha do if [ "$local_sha" = $z40 ] then # Handle delete : else if [ "$remote_sha" = $z40 ] then # New branch, examine all commits range="$local_sha" else # Update to existing branch, examine new commits range="$remote_sha..$local_sha" fi # Check for WIP commit commit=`git rev-list -n 1 --grep '^WIP' "$range"` if [ -n "$commit" ] then echo >&2 "Found WIP commit in $local_ref, not pushing" exit 1 fi fi done exit 0 ��������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pre-rebase.sample�����������������������������������������������������������������������������������0000775�0000000�0000000�00000011527�15141625651�0036100�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000�pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_dulwich_log/data/asyncio.git/hooks�������������������������������������������������������������������������#!/bin/sh # # Copyright (c) 2006, 2008 Junio C Hamano # # The "pre-rebase" hook is run just before "git rebase" starts doing # its job, and can prevent the command from running by exiting with # non-zero status. # # The hook is called with the following parameters: # # $1 -- the upstream the series was forked from. # $2 -- the branch being rebased (or empty when rebasing the current branch). # # This sample shows how to prevent topic branches that are already # merged to 'next' branch from getting rebased, because allowing it # would result in rebasing already published history. publish=next basebranch="$1" if test "$#" = 2 then topic="refs/heads/$2" else topic=`git symbolic-ref HEAD` || exit 0 ;# we do not interrupt rebasing detached HEAD fi case "$topic" in refs/heads/??/*) ;; *) exit 0 ;# we do not interrupt others. ;; esac # Now we are dealing with a topic branch being rebased # on top of master. Is it OK to rebase it? # Does the topic really exist? git show-ref -q "$topic" || { echo >&2 "No such branch $topic" exit 1 } # Is topic fully merged to master? not_in_master=`git rev-list --pretty=oneline ^master "$topic"` if test -z "$not_in_master" then echo >&2 "$topic is fully merged to master; better remove it." exit 1 ;# we could allow it, but there is no point. fi # Is topic ever merged to next? If so you should not be rebasing it. only_next_1=`git rev-list ^master "^$topic" ${publish} | sort` only_next_2=`git rev-list ^master ${publish} | sort` if test "$only_next_1" = "$only_next_2" then not_in_topic=`git rev-list "^$topic" master` if test -z "$not_in_topic" then echo >&2 "$topic is already up-to-date with master" exit 1 ;# we could allow it, but there is no point. else exit 0 fi else not_in_next=`git rev-list --pretty=oneline ^${publish} "$topic"` /usr/bin/perl -e ' my $topic = $ARGV[0]; my $msg = "* $topic has commits already merged to public branch:\n"; my (%not_in_next) = map { /^([0-9a-f]+) /; ($1 => 1); } split(/\n/, $ARGV[1]); for my $elem (map { /^([0-9a-f]+) (.*)$/; [$1 => $2]; } split(/\n/, $ARGV[2])) { if (!exists $not_in_next{$elem->[0]}) { if ($msg) { print STDERR $msg; undef $msg; } print STDERR " $elem->[1]\n"; } } ' "$topic" "$not_in_next" "$not_in_master" exit 1 fi exit 0 ################################################################ This sample hook safeguards topic branches that have been published from being rewound. The workflow assumed here is: * Once a topic branch forks from "master", "master" is never merged into it again (either directly or indirectly). * Once a topic branch is fully cooked and merged into "master", it is deleted. If you need to build on top of it to correct earlier mistakes, a new topic branch is created by forking at the tip of the "master". This is not strictly necessary, but it makes it easier to keep your history simple. * Whenever you need to test or publish your changes to topic branches, merge them into "next" branch. The script, being an example, hardcodes the publish branch name to be "next", but it is trivial to make it configurable via $GIT_DIR/config mechanism. With this workflow, you would want to know: (1) ... if a topic branch has ever been merged to "next". Young topic branches can have stupid mistakes you would rather clean up before publishing, and things that have not been merged into other branches can be easily rebased without affecting other people. But once it is published, you would not want to rewind it. (2) ... if a topic branch has been fully merged to "master". Then you can delete it. More importantly, you should not build on top of it -- other people may already want to change things related to the topic as patches against your "master", so if you need further changes, it is better to fork the topic (perhaps with the same name) afresh from the tip of "master". Let's look at this example: o---o---o---o---o---o---o---o---o---o "next" / / / / / a---a---b A / / / / / / / / c---c---c---c B / / / / \ / / / / b---b C \ / / / / / \ / ---o---o---o---o---o---o---o---o---o---o---o "master" A, B and C are topic branches. * A has one fix since it was merged up to "next". * B has finished. It has been fully merged up to "master" and "next", and is ready to be deleted. * C has not merged to "next" at all. We would want to allow C to be rebased, refuse A, and encourage B to be deleted. To compute (1): git rev-list ^master ^topic next git rev-list ^master next if these match, topic has not merged in next at all. To compute (2): git rev-list master..topic if this is empty, it is fully merged to "master". �������������������������������������������������������������������������������������������������������������������������������������������������������������������������prepare-commit-msg.sample���������������������������������������������������������������������������0000775�0000000�0000000�00000002327�15141625651�0037561�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000�pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_dulwich_log/data/asyncio.git/hooks�������������������������������������������������������������������������#!/bin/sh # # An example hook script to prepare the commit log message. # Called by "git commit" with the name of the file that has the # commit message, followed by the description of the commit # message's source. The hook's purpose is to edit the commit # message file. If the hook fails with a non-zero status, # the commit is aborted. # # To enable this hook, rename this file to "prepare-commit-msg". # This hook includes three examples. The first comments out the # "Conflicts:" part of a merge commit. # # The second includes the output of "git diff --name-status -r" # into the message, just before the "git status" output. It is # commented because it doesn't cope with --amend or with squashed # commits. # # The third example adds a Signed-off-by line to the message, that can # still be edited. This is rarely a good idea. case "$2,$3" in merge,) /usr/bin/perl -i.bak -ne 's/^/# /, s/^# #/#/ if /^Conflicts/ .. /#/; print' "$1" ;; # ,|template,) # /usr/bin/perl -i.bak -pe ' # print "\n" . `git diff --cached --name-status -r` # if /^#/ && $first++ == 0' "$1" ;; *) ;; esac # SOB=$(git var GIT_AUTHOR_IDENT | sed -n 's/^\(.*>\).*$/Signed-off-by: \1/p') # grep -qs "^$SOB" "$1" || echo "$SOB" >> "$1" ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������update.sample���������������������������������������������������������������������������������������0000775�0000000�0000000�00000007033�15141625651�0035332�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000�pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_dulwich_log/data/asyncio.git/hooks�������������������������������������������������������������������������#!/bin/sh # # An example hook script to blocks unannotated tags from entering. # Called by "git receive-pack" with arguments: refname sha1-old sha1-new # # To enable this hook, rename this file to "update". # # Config # ------ # hooks.allowunannotated # This boolean sets whether unannotated tags will be allowed into the # repository. By default they won't be. # hooks.allowdeletetag # This boolean sets whether deleting tags will be allowed in the # repository. By default they won't be. # hooks.allowmodifytag # This boolean sets whether a tag may be modified after creation. By default # it won't be. # hooks.allowdeletebranch # This boolean sets whether deleting branches will be allowed in the # repository. By default they won't be. # hooks.denycreatebranch # This boolean sets whether remotely creating branches will be denied # in the repository. By default this is allowed. # # --- Command line refname="$1" oldrev="$2" newrev="$3" # --- Safety check if [ -z "$GIT_DIR" ]; then echo "Don't run this script from the command line." >&2 echo " (if you want, you could supply GIT_DIR then run" >&2 echo " $0 <ref> <oldrev> <newrev>)" >&2 exit 1 fi if [ -z "$refname" -o -z "$oldrev" -o -z "$newrev" ]; then echo "usage: $0 <ref> <oldrev> <newrev>" >&2 exit 1 fi # --- Config allowunannotated=$(git config --bool hooks.allowunannotated) allowdeletebranch=$(git config --bool hooks.allowdeletebranch) denycreatebranch=$(git config --bool hooks.denycreatebranch) allowdeletetag=$(git config --bool hooks.allowdeletetag) allowmodifytag=$(git config --bool hooks.allowmodifytag) # check for no description projectdesc=$(sed -e '1q' "$GIT_DIR/description") case "$projectdesc" in "Unnamed repository"* | "") echo "*** Project description file hasn't been set" >&2 exit 1 ;; esac # --- Check types # if $newrev is 0000...0000, it's a commit to delete a ref. zero="0000000000000000000000000000000000000000" if [ "$newrev" = "$zero" ]; then newrev_type=delete else newrev_type=$(git cat-file -t $newrev) fi case "$refname","$newrev_type" in refs/tags/*,commit) # un-annotated tag short_refname=${refname##refs/tags/} if [ "$allowunannotated" != "true" ]; then echo "*** The un-annotated tag, $short_refname, is not allowed in this repository" >&2 echo "*** Use 'git tag [ -a | -s ]' for tags you want to propagate." >&2 exit 1 fi ;; refs/tags/*,delete) # delete tag if [ "$allowdeletetag" != "true" ]; then echo "*** Deleting a tag is not allowed in this repository" >&2 exit 1 fi ;; refs/tags/*,tag) # annotated tag if [ "$allowmodifytag" != "true" ] && git rev-parse $refname > /dev/null 2>&1 then echo "*** Tag '$refname' already exists." >&2 echo "*** Modifying a tag is not allowed in this repository." >&2 exit 1 fi ;; refs/heads/*,commit) # branch if [ "$oldrev" = "$zero" -a "$denycreatebranch" = "true" ]; then echo "*** Creating a branch is not allowed in this repository" >&2 exit 1 fi ;; refs/heads/*,delete) # delete branch if [ "$allowdeletebranch" != "true" ]; then echo "*** Deleting a branch is not allowed in this repository" >&2 exit 1 fi ;; refs/remotes/*,commit) # tracking branch ;; refs/remotes/*,delete) # delete tracking branch if [ "$allowdeletebranch" != "true" ]; then echo "*** Deleting a tracking branch is not allowed in this repository" >&2 exit 1 fi ;; *) # Anything else (is there anything else?) echo "*** Update hook: unknown type of update to ref $refname of type $newrev_type" >&2 exit 1 ;; esac # --- Finished exit 0 �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_dulwich_log/data/asyncio.git/index������0000664�0000000�0000000�00000020474�15141625651�0032634�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������DIRC������aVA¼¡*ÙVA¼¡*Ù���,�PW ��¤��è��è���+d†2Î8X‹Âeé_ã™ 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name = "pyperformance_bm_dulwich_log" requires-python = ">=3.8" dependencies = [ "pyperf", "dulwich", # optional? ] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "dulwich_log" ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_dulwich_log/requirements.txt������������0000664�0000000�0000000�00000000064�15141625651�0031717�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������certifi==2021.5.30 dulwich==0.20.23 urllib3==1.26.5 ����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_dulwich_log/run_benchmark.py������������0000664�0000000�0000000�00000001240�15141625651�0031620�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������""" Iterate on commits of the asyncio Git repository using the Dulwich module. """ import os import pyperf import dulwich.repo def iter_all_commits(repo): # iterate on all changes on the Git repository for entry in repo.get_walker(head): pass if __name__ == "__main__": runner = pyperf.Runner() runner.metadata['description'] = ("Dulwich benchmark: " "iterate on all Git commits") repo_path = os.path.join(os.path.dirname(__file__), 'data', 'asyncio.git') repo = dulwich.repo.Repo(repo_path) head = repo.head() runner.bench_func('dulwich_log', iter_all_commits, repo) repo.close() ����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_fannkuch/�������������������������������0000775�0000000�0000000�00000000000�15141625651�0025730�5����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_fannkuch/pyproject.toml�����������������0000664�0000000�0000000�00000000337�15141625651�0030647�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������[project] name = "pyperformance_bm_fannkuch" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "fannkuch" �������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_fannkuch/run_benchmark.py���������������0000664�0000000�0000000�00000002136�15141625651�0031122�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������""" The Computer Language Benchmarks Game http://benchmarksgame.alioth.debian.org/ Contributed by Sokolov Yura, modified by Tupteq. """ import pyperf DEFAULT_ARG = 9 def fannkuch(n): count = list(range(1, n + 1)) max_flips = 0 m = n - 1 r = n perm1 = list(range(n)) perm = list(range(n)) perm1_ins = perm1.insert perm1_pop = perm1.pop while 1: while r != 1: count[r - 1] = r r -= 1 if perm1[0] != 0 and perm1[m] != m: perm = perm1[:] flips_count = 0 k = perm[0] while k: perm[:k + 1] = perm[k::-1] flips_count += 1 k = perm[0] if flips_count > max_flips: max_flips = flips_count while r != n: perm1_ins(r, perm1_pop(0)) count[r] -= 1 if count[r] > 0: break r += 1 else: return max_flips if __name__ == "__main__": runner = pyperf.Runner() arg = DEFAULT_ARG runner.bench_func('fannkuch', fannkuch, arg) ����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_fastapi/��������������������������������0000775�0000000�0000000�00000000000�15141625651�0025562�5����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_fastapi/pyproject.toml������������������0000664�0000000�0000000�00000000436�15141625651�0030501�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������[project] name = "pyperformance_bm_fastapi" requires-python = ">=3.10" dependencies = [ "pyperf", "fastapi", "uvicorn", "httpx", ] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "fastapi" tags = "apps" ����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_fastapi/requirements.txt����������������0000664�0000000�0000000�00000000057�15141625651�0031050�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������fastapi==0.121.0 httpx==0.28.1 uvicorn==0.38.0 ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_fastapi/run_benchmark.py����������������0000664�0000000�0000000�00000004361�15141625651�0030756�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������""" Test the performance of simple HTTP serving with FastAPI. This benchmark tests FastAPI's request handling, including: - Path parameter extraction and validation - Pydantic model serialization - JSON response encoding The bench serves a REST API endpoint that returns JSON objects, simulating a typical web application scenario. Author: Savannah Ostrowski """ import asyncio import socket import httpx import pyperf import threading import uvicorn from fastapi import FastAPI from pydantic import BaseModel HOST = "127.0.0.1" CONCURRENCY = 150 class Item(BaseModel): id: int name: str price: float tags: list[str] = [] app = FastAPI() @app.get("/items/{item_id}", response_model=Item) async def get_item(item_id: int): return { "id": item_id, "name": "Sample Item", "price": 9.99, "tags": ["sample", "item", "fastapi"] } def setup_server(): with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: s.bind((HOST, 0)) s.listen(1) port = s.getsockname()[1] config = uvicorn.Config(app, host=HOST, port=port, log_level="error") server = uvicorn.Server(config) server_thread = threading.Thread(target=server.run, daemon=True) server_thread.start() while not server.started: pass url = f"http://{HOST}:{port}" return url def bench_fastapi(loops, url): async def run_benchmark(): async with httpx.AsyncClient() as client: t0 = pyperf.perf_counter() for i in range(loops): tasks = [ client.get(f"{url}/items/{i}") for _ in range(CONCURRENCY) ] responses = await asyncio.gather(*tasks) for response in responses: response.raise_for_status() data = response.json() assert data["id"] == i assert "tags" in data return pyperf.perf_counter() - t0 return asyncio.run(run_benchmark()) if __name__ == "__main__": url = setup_server() runner = pyperf.Runner() runner.metadata['description'] = "Test the performance of HTTP requests with FastAPI" runner.bench_time_func("fastapi_http", bench_fastapi, url) �������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_float/����������������������������������0000775�0000000�0000000�00000000000�15141625651�0025240�5����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_float/pyproject.toml��������������������0000664�0000000�0000000�00000000347�15141625651�0030160�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������[project] name = "pyperformance_bm_float" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "float" tags = "math" �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_float/run_benchmark.py������������������0000664�0000000�0000000�00000002415�15141625651�0030432�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������""" Artificial, floating point-heavy benchmark originally used by Factor. """ import pyperf from math import sin, cos, sqrt POINTS = 100000 class Point(object): __slots__ = ('x', 'y', 'z') def __init__(self, i): self.x = x = sin(i) self.y = cos(i) * 3 self.z = (x * x) / 2 def __repr__(self): return "<Point: x=%s, y=%s, z=%s>" % (self.x, self.y, self.z) def normalize(self): x = self.x y = self.y z = self.z norm = sqrt(x * x + y * y + z * z) self.x /= norm self.y /= norm self.z /= norm def maximize(self, other): self.x = self.x if self.x > other.x else other.x self.y = self.y if self.y > other.y else other.y self.z = self.z if self.z > other.z else other.z return self def maximize(points): next = points[0] for p in points[1:]: next = next.maximize(p) return next def benchmark(n): points = [None] * n for i in range(n): points[i] = Point(i) for p in points: p.normalize() return maximize(points) if __name__ == "__main__": runner = pyperf.Runner() runner.metadata['description'] = "Float benchmark" points = POINTS runner.bench_func('float', benchmark, points) ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_gc_collect/�����������������������������0000775�0000000�0000000�00000000000�15141625651�0026231�5����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_gc_collect/pyproject.toml���������������0000664�0000000�0000000�00000000343�15141625651�0031145�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������[project] name = "pyperformance_bm_gc_collect" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "gc_collect" ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_gc_collect/run_benchmark.py�������������0000664�0000000�0000000�00000002607�15141625651�0031426�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������import pyperf import gc CYCLES = 100 LINKS = 20 class Node: def __init__(self): self.next = None self.prev = None def link_next(self, next): self.next = next self.next.prev = self def create_cycle(node, n_links): """Create a cycle of n_links nodes, starting with node.""" if n_links == 0: return current = node for i in range(n_links): next_node = Node() current.link_next(next_node) current = next_node current.link_next(node) def create_gc_cycles(n_cycles, n_links): """Create n_cycles cycles n_links+1 nodes each.""" cycles = [] for _ in range(n_cycles): node = Node() cycles.append(node) create_cycle(node, n_links) return cycles def benchamark_collection(loops, cycles, links): total_time = 0 for _ in range(loops): gc.collect() all_cycles = create_gc_cycles(cycles, links) # Main loop to measure del all_cycles t0 = pyperf.perf_counter() collected = gc.collect() total_time += pyperf.perf_counter() - t0 assert collected is None or collected >= cycles * (links + 1) return total_time if __name__ == "__main__": runner = pyperf.Runner() runner.metadata["description"] = "GC link benchmark" runner.bench_time_func("create_gc_cycles", benchamark_collection, CYCLES, LINKS) �������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_gc_traversal/���������������������������0000775�0000000�0000000�00000000000�15141625651�0026607�5����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_gc_traversal/pyproject.toml�������������0000664�0000000�0000000�00000000347�15141625651�0031527�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������[project] name = "pyperformance_bm_gc_traversal" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "gc_traversal" �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_gc_traversal/run_benchmark.py�����������0000664�0000000�0000000�00000001567�15141625651�0032010�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������import pyperf import gc N_LEVELS = 1000 def create_recursive_containers(n_levels): current_list = [] for n in range(n_levels): new_list = [None] * n for index in range(n): new_list[index] = current_list current_list = new_list return current_list def benchamark_collection(loops, n_levels): total_time = 0 all_cycles = create_recursive_containers(n_levels) for _ in range(loops): gc.collect() # Main loop to measure t0 = pyperf.perf_counter() collected = gc.collect() total_time += pyperf.perf_counter() - t0 assert collected is None or collected == 0 return total_time if __name__ == "__main__": runner = pyperf.Runner() runner.metadata["description"] = "GC traversal benchmark" runner.bench_time_func("gc_traversal", benchamark_collection, N_LEVELS) �����������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_generators/�����������������������������0000775�0000000�0000000�00000000000�15141625651�0026304�5����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_generators/pyproject.toml���������������0000664�0000000�0000000�00000000343�15141625651�0031220�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������[project] name = "pyperformance_bm_generators" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "generators" ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_generators/run_benchmark.py�������������0000664�0000000�0000000�00000002261�15141625651�0031475�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������""" Benchmark recursive generators implemented in python by traversing a binary tree. Author: Kumar Aditya """ from __future__ import annotations from collections.abc import Iterator import pyperf class Tree: def __init__(self, left: Tree | None, value: int, right: Tree | None) -> None: self.left = left self.value = value self.right = right def __iter__(self) -> Iterator[int]: if self.left: yield from self.left yield self.value if self.right: yield from self.right def tree(input: range) -> Tree | None: n = len(input) if n == 0: return None i = n // 2 return Tree(tree(input[:i]), input[i], tree(input[i + 1:])) def bench_generators(loops: int) -> float: assert list(tree(range(10))) == list(range(10)) range_it = range(loops) iterable = tree(range(100000)) t0 = pyperf.perf_counter() for _ in range_it: for _ in iterable: pass return pyperf.perf_counter() - t0 if __name__ == "__main__": runner = pyperf.Runner() runner.metadata['description'] = "Benchmark generators" runner.bench_time_func('generators', bench_generators) �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_genshi/���������������������������������0000775�0000000�0000000�00000000000�15141625651�0025410�5����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_genshi/pyproject.toml�������������������0000664�0000000�0000000�00000000402�15141625651�0030320�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������[project] name = "pyperformance_bm_genshi" requires-python = ">=3.8" dependencies = [ "pyperf", "Genshi", ] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "genshi" tags = "template" ��������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_genshi/requirements.txt�����������������0000664�0000000�0000000�00000000032�15141625651�0030667�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������genshi==0.7.7 six==1.16.0 ������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_genshi/run_benchmark.py�����������������0000664�0000000�0000000�00000003106�15141625651�0030600�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������""" Render a template using Genshi module. """ import pyperf from genshi.template import MarkupTemplate, NewTextTemplate BIGTABLE_XML = """\ <table xmlns:py="http://genshi.edgewall.org/"> <tr py:for="row in table"> <td py:for="c in row.values()" py:content="c"/> </tr> </table> """ BIGTABLE_TEXT = """\ <table> {% for row in table %}<tr> {% for c in row.values() %}<td>$c</td>{% end %} </tr>{% end %} </table> """ def bench_genshi(loops, tmpl_cls, tmpl_str): tmpl = tmpl_cls(tmpl_str) table = [dict(a=1, b=2, c=3, d=4, e=5, f=6, g=7, h=8, i=9, j=10) for _ in range(1000)] range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: stream = tmpl.generate(table=table) stream.render() return pyperf.perf_counter() - t0 def add_cmdline_args(cmd, args): if args.benchmark: cmd.append(args.benchmark) BENCHMARKS = { 'xml': (MarkupTemplate, BIGTABLE_XML), 'text': (NewTextTemplate, BIGTABLE_TEXT), } if __name__ == "__main__": runner = pyperf.Runner(add_cmdline_args=add_cmdline_args) runner.metadata['description'] = "Render a template using Genshi module" runner.argparser.add_argument("benchmark", nargs='?', choices=sorted(BENCHMARKS)) args = runner.parse_args() if args.benchmark: benchmarks = (args.benchmark,) else: benchmarks = sorted(BENCHMARKS) for bench in benchmarks: name = 'genshi_%s' % bench tmpl_cls, tmpl_str = BENCHMARKS[bench] runner.bench_time_func(name, bench_genshi, tmpl_cls, tmpl_str) ����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_go/�������������������������������������0000775�0000000�0000000�00000000000�15141625651�0024540�5����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_go/pyproject.toml�����������������������0000664�0000000�0000000�00000000323�15141625651�0027452�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������[project] name = "pyperformance_bm_go" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "go" �������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_go/run_benchmark.py���������������������0000664�0000000�0000000�00000033127�15141625651�0027736�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������""" Go board game """ import math import random import pyperf SIZE = 9 GAMES = 200 KOMI = 7.5 EMPTY, WHITE, BLACK = 0, 1, 2 SHOW = {EMPTY: '.', WHITE: 'o', BLACK: 'x'} PASS = -1 MAXMOVES = SIZE * SIZE * 3 TIMESTAMP = 0 MOVES = 0 def to_pos(x, y): return y * SIZE + x def to_xy(pos): y, x = divmod(pos, SIZE) return x, y class Square: def __init__(self, board, pos): self.board = board self.pos = pos self.timestamp = TIMESTAMP self.removestamp = TIMESTAMP self.zobrist_strings = [random.randrange(9223372036854775807) for i in range(3)] def set_neighbours(self): x, y = self.pos % SIZE, self.pos // SIZE self.neighbours = [] for dx, dy in [(-1, 0), (1, 0), (0, -1), (0, 1)]: newx, newy = x + dx, y + dy if 0 <= newx < SIZE and 0 <= newy < SIZE: self.neighbours.append(self.board.squares[to_pos(newx, newy)]) def move(self, color): global TIMESTAMP, MOVES TIMESTAMP += 1 MOVES += 1 self.board.zobrist.update(self, color) self.color = color self.reference = self self.ledges = 0 self.used = True for neighbour in self.neighbours: neighcolor = neighbour.color if neighcolor == EMPTY: self.ledges += 1 else: neighbour_ref = neighbour.find(update=True) if neighcolor == color: if neighbour_ref.reference.pos != self.pos: self.ledges += neighbour_ref.ledges neighbour_ref.reference = self self.ledges -= 1 else: neighbour_ref.ledges -= 1 if neighbour_ref.ledges == 0: neighbour.remove(neighbour_ref) self.board.zobrist.add() def remove(self, reference, update=True): self.board.zobrist.update(self, EMPTY) self.removestamp = TIMESTAMP if update: self.color = EMPTY self.board.emptyset.add(self.pos) # if color == BLACK: # self.board.black_dead += 1 # else: # self.board.white_dead += 1 for neighbour in self.neighbours: if neighbour.color != EMPTY and neighbour.removestamp != TIMESTAMP: neighbour_ref = neighbour.find(update) if neighbour_ref.pos == reference.pos: neighbour.remove(reference, update) else: if update: neighbour_ref.ledges += 1 def find(self, update=False): reference = self.reference if reference.pos != self.pos: reference = reference.find(update) if update: self.reference = reference return reference def __repr__(self): return repr(to_xy(self.pos)) class EmptySet: def __init__(self, board): self.board = board self.empties = list(range(SIZE * SIZE)) self.empty_pos = list(range(SIZE * SIZE)) def random_choice(self): choices = len(self.empties) while choices: i = int(random.random() * choices) pos = self.empties[i] if self.board.useful(pos): return pos choices -= 1 self.set(i, self.empties[choices]) self.set(choices, pos) return PASS def add(self, pos): self.empty_pos[pos] = len(self.empties) self.empties.append(pos) def remove(self, pos): self.set(self.empty_pos[pos], self.empties[len(self.empties) - 1]) self.empties.pop() def set(self, i, pos): self.empties[i] = pos self.empty_pos[pos] = i class ZobristHash: def __init__(self, board): self.board = board self.hash_set = set() self.hash = 0 for square in self.board.squares: self.hash ^= square.zobrist_strings[EMPTY] self.hash_set.clear() self.hash_set.add(self.hash) def update(self, square, color): self.hash ^= square.zobrist_strings[square.color] self.hash ^= square.zobrist_strings[color] def add(self): self.hash_set.add(self.hash) def dupe(self): return self.hash in self.hash_set class Board: def __init__(self): self.squares = [Square(self, pos) for pos in range(SIZE * SIZE)] for square in self.squares: square.set_neighbours() self.reset() def reset(self): for square in self.squares: square.color = EMPTY square.used = False self.emptyset = EmptySet(self) self.zobrist = ZobristHash(self) self.color = BLACK self.finished = False self.lastmove = -2 self.history = [] self.white_dead = 0 self.black_dead = 0 def move(self, pos): square = self.squares[pos] if pos != PASS: square.move(self.color) self.emptyset.remove(square.pos) elif self.lastmove == PASS: self.finished = True if self.color == BLACK: self.color = WHITE else: self.color = BLACK self.lastmove = pos self.history.append(pos) def random_move(self): return self.emptyset.random_choice() def useful_fast(self, square): if not square.used: for neighbour in square.neighbours: if neighbour.color == EMPTY: return True return False def useful(self, pos): global TIMESTAMP TIMESTAMP += 1 square = self.squares[pos] if self.useful_fast(square): return True old_hash = self.zobrist.hash self.zobrist.update(square, self.color) empties = opps = weak_opps = neighs = weak_neighs = 0 for neighbour in square.neighbours: neighcolor = neighbour.color if neighcolor == EMPTY: empties += 1 continue neighbour_ref = neighbour.find() if neighbour_ref.timestamp != TIMESTAMP: if neighcolor == self.color: neighs += 1 else: opps += 1 neighbour_ref.timestamp = TIMESTAMP neighbour_ref.temp_ledges = neighbour_ref.ledges neighbour_ref.temp_ledges -= 1 if neighbour_ref.temp_ledges == 0: if neighcolor == self.color: weak_neighs += 1 else: weak_opps += 1 neighbour_ref.remove(neighbour_ref, update=False) dupe = self.zobrist.dupe() self.zobrist.hash = old_hash strong_neighs = neighs - weak_neighs strong_opps = opps - weak_opps return not dupe and \ (empties or weak_opps or (strong_neighs and (strong_opps or weak_neighs))) def useful_moves(self): return [pos for pos in self.emptyset.empties if self.useful(pos)] def replay(self, history): for pos in history: self.move(pos) def score(self, color): if color == WHITE: count = KOMI + self.black_dead else: count = self.white_dead for square in self.squares: squarecolor = square.color if squarecolor == color: count += 1 elif squarecolor == EMPTY: surround = 0 for neighbour in square.neighbours: if neighbour.color == color: surround += 1 if surround == len(square.neighbours): count += 1 return count def check(self): for square in self.squares: if square.color == EMPTY: continue members1 = set([square]) changed = True while changed: changed = False for member in members1.copy(): for neighbour in member.neighbours: if neighbour.color == square.color and neighbour not in members1: changed = True members1.add(neighbour) ledges1 = 0 for member in members1: for neighbour in member.neighbours: if neighbour.color == EMPTY: ledges1 += 1 root = square.find() # print 'members1', square, root, members1 # print 'ledges1', square, ledges1 members2 = set() for square2 in self.squares: if square2.color != EMPTY and square2.find() == root: members2.add(square2) ledges2 = root.ledges # print 'members2', square, root, members1 # print 'ledges2', square, ledges2 assert members1 == members2 assert ledges1 == ledges2, ('ledges differ at %r: %d %d' % ( square, ledges1, ledges2)) set(self.emptyset.empties) empties2 = set() for square in self.squares: if square.color == EMPTY: empties2.add(square.pos) def __repr__(self): result = [] for y in range(SIZE): start = to_pos(0, y) result.append(''.join( [SHOW[square.color] + ' ' for square in self.squares[start:start + SIZE]])) return '\n'.join(result) class UCTNode: def __init__(self): self.bestchild = None self.pos = -1 self.wins = 0 self.losses = 0 self.pos_child = [None for x in range(SIZE * SIZE)] self.parent = None def play(self, board): """ uct tree search """ color = board.color node = self path = [node] while True: pos = node.select(board) if pos == PASS: break board.move(pos) child = node.pos_child[pos] if not child: child = node.pos_child[pos] = UCTNode() child.unexplored = board.useful_moves() child.pos = pos child.parent = node path.append(child) break path.append(child) node = child self.random_playout(board) self.update_path(board, color, path) def select(self, board): """ select move; unexplored children first, then according to uct value """ if self.unexplored: i = random.randrange(len(self.unexplored)) pos = self.unexplored[i] self.unexplored[i] = self.unexplored[len(self.unexplored) - 1] self.unexplored.pop() return pos elif self.bestchild: return self.bestchild.pos else: return PASS def random_playout(self, board): """ random play until both players pass """ for x in range(MAXMOVES): # XXX while not self.finished? if board.finished: break board.move(board.random_move()) def update_path(self, board, color, path): """ update win/loss count along path """ wins = board.score(BLACK) >= board.score(WHITE) for node in path: if color == BLACK: color = WHITE else: color = BLACK if wins == (color == BLACK): node.wins += 1 else: node.losses += 1 if node.parent: node.parent.bestchild = node.parent.best_child() def score(self): winrate = self.wins / float(self.wins + self.losses) parentvisits = self.parent.wins + self.parent.losses if not parentvisits: return winrate nodevisits = self.wins + self.losses return winrate + math.sqrt((math.log(parentvisits)) / (5 * nodevisits)) def best_child(self): maxscore = -1 maxchild = None for child in self.pos_child: if child and child.score() > maxscore: maxchild = child maxscore = child.score() return maxchild def best_visited(self): maxvisits = -1 maxchild = None for child in self.pos_child: # if child: # print to_xy(child.pos), child.wins, child.losses, child.score() if child and (child.wins + child.losses) > maxvisits: maxvisits, maxchild = (child.wins + child.losses), child return maxchild # def user_move(board): # while True: # text = input('?').strip() # if text == 'p': # return PASS # if text == 'q': # raise EOFError # try: # x, y = [int(i) for i in text.split()] # except ValueError: # continue # if not (0 <= x < SIZE and 0 <= y < SIZE): # continue # pos = to_pos(x, y) # if board.useful(pos): # return pos def computer_move(board): pos = board.random_move() if pos == PASS: return PASS tree = UCTNode() tree.unexplored = board.useful_moves() nboard = Board() for game in range(GAMES): node = tree nboard.reset() nboard.replay(board.history) node.play(nboard) return tree.best_visited().pos def versus_cpu(): random.seed(1) board = Board() return computer_move(board) if __name__ == "__main__": runner = pyperf.Runner() runner.metadata['description'] = "Test the performance of the Go benchmark" runner.bench_func('go', versus_cpu) �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_hexiom/���������������������������������0000775�0000000�0000000�00000000000�15141625651�0025424�5����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_hexiom/pyproject.toml�������������������0000664�0000000�0000000�00000000333�15141625651�0030337�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������[project] name = "pyperformance_bm_hexiom" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "hexiom" �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_hexiom/run_benchmark.py�����������������0000664�0000000�0000000�00000041712�15141625651�0030621�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������""" Solver of Hexiom board game. Benchmark from Laurent Vaucher. Source: https://github.com/slowfrog/hexiom : hexiom2.py, level36.txt (Main function tweaked by Armin Rigo.) """ import io import pyperf # 2016-07-07: CPython 3.6 takes ~25 ms to solve the board level 25 DEFAULT_LEVEL = 25 ################################## class Dir(object): def __init__(self, x, y): self.x = x self.y = y DIRS = [Dir(1, 0), Dir(-1, 0), Dir(0, 1), Dir(0, -1), Dir(1, 1), Dir(-1, -1)] EMPTY = 7 ################################## class Done(object): MIN_CHOICE_STRATEGY = 0 MAX_CHOICE_STRATEGY = 1 HIGHEST_VALUE_STRATEGY = 2 FIRST_STRATEGY = 3 MAX_NEIGHBORS_STRATEGY = 4 MIN_NEIGHBORS_STRATEGY = 5 def __init__(self, count, empty=False): self.count = count self.cells = None if empty else [ [0, 1, 2, 3, 4, 5, 6, EMPTY] for i in range(count)] def clone(self): ret = Done(self.count, True) ret.cells = [self.cells[i][:] for i in range(self.count)] return ret def __getitem__(self, i): return self.cells[i] def set_done(self, i, v): self.cells[i] = [v] def already_done(self, i): return len(self.cells[i]) == 1 def remove(self, i, v): if v in self.cells[i]: self.cells[i].remove(v) return True else: return False def remove_all(self, v): for i in range(self.count): self.remove(i, v) def remove_unfixed(self, v): changed = False for i in range(self.count): if not self.already_done(i): if self.remove(i, v): changed = True return changed def filter_tiles(self, tiles): for v in range(8): if tiles[v] == 0: self.remove_all(v) def next_cell_min_choice(self): minlen = 10 mini = -1 for i in range(self.count): if 1 < len(self.cells[i]) < minlen: minlen = len(self.cells[i]) mini = i return mini def next_cell_max_choice(self): maxlen = 1 maxi = -1 for i in range(self.count): if maxlen < len(self.cells[i]): maxlen = len(self.cells[i]) maxi = i return maxi def next_cell_highest_value(self): maxval = -1 maxi = -1 for i in range(self.count): if (not self.already_done(i)): maxvali = max(k for k in self.cells[i] if k != EMPTY) if maxval < maxvali: maxval = maxvali maxi = i return maxi def next_cell_first(self): for i in range(self.count): if (not self.already_done(i)): return i return -1 def next_cell_max_neighbors(self, pos): maxn = -1 maxi = -1 for i in range(self.count): if not self.already_done(i): cells_around = pos.hex.get_by_id(i).links n = sum(1 if (self.already_done(nid) and (self[nid][0] != EMPTY)) else 0 for nid in cells_around) if n > maxn: maxn = n maxi = i return maxi def next_cell_min_neighbors(self, pos): minn = 7 mini = -1 for i in range(self.count): if not self.already_done(i): cells_around = pos.hex.get_by_id(i).links n = sum(1 if (self.already_done(nid) and (self[nid][0] != EMPTY)) else 0 for nid in cells_around) if n < minn: minn = n mini = i return mini def next_cell(self, pos, strategy=HIGHEST_VALUE_STRATEGY): if strategy == Done.HIGHEST_VALUE_STRATEGY: return self.next_cell_highest_value() elif strategy == Done.MIN_CHOICE_STRATEGY: return self.next_cell_min_choice() elif strategy == Done.MAX_CHOICE_STRATEGY: return self.next_cell_max_choice() elif strategy == Done.FIRST_STRATEGY: return self.next_cell_first() elif strategy == Done.MAX_NEIGHBORS_STRATEGY: return self.next_cell_max_neighbors(pos) elif strategy == Done.MIN_NEIGHBORS_STRATEGY: return self.next_cell_min_neighbors(pos) else: raise Exception("Wrong strategy: %d" % strategy) ################################## class Node(object): def __init__(self, pos, id, links): self.pos = pos self.id = id self.links = links ################################## class Hex(object): def __init__(self, size): self.size = size self.count = 3 * size * (size - 1) + 1 self.nodes_by_id = self.count * [None] self.nodes_by_pos = {} id = 0 for y in range(size): for x in range(size + y): pos = (x, y) node = Node(pos, id, []) self.nodes_by_pos[pos] = node self.nodes_by_id[node.id] = node id += 1 for y in range(1, size): for x in range(y, size * 2 - 1): ry = size + y - 1 pos = (x, ry) node = Node(pos, id, []) self.nodes_by_pos[pos] = node self.nodes_by_id[node.id] = node id += 1 def link_nodes(self): for node in self.nodes_by_id: (x, y) = node.pos for dir in DIRS: nx = x + dir.x ny = y + dir.y if self.contains_pos((nx, ny)): node.links.append(self.nodes_by_pos[(nx, ny)].id) def contains_pos(self, pos): return pos in self.nodes_by_pos def get_by_pos(self, pos): return self.nodes_by_pos[pos] def get_by_id(self, id): return self.nodes_by_id[id] ################################## class Pos(object): def __init__(self, hex, tiles, done=None): self.hex = hex self.tiles = tiles self.done = Done(hex.count) if done is None else done def clone(self): return Pos(self.hex, self.tiles, self.done.clone()) ################################## def constraint_pass(pos, last_move=None): changed = False left = pos.tiles[:] done = pos.done # Remove impossible values from free cells free_cells = (range(done.count) if last_move is None else pos.hex.get_by_id(last_move).links) for i in free_cells: if not done.already_done(i): vmax = 0 vmin = 0 cells_around = pos.hex.get_by_id(i).links for nid in cells_around: if done.already_done(nid): if done[nid][0] != EMPTY: vmin += 1 vmax += 1 else: vmax += 1 for num in range(7): if (num < vmin) or (num > vmax): if done.remove(i, num): changed = True # Computes how many of each value is still free for cell in done.cells: if len(cell) == 1: left[cell[0]] -= 1 for v in range(8): # If there is none, remove the possibility from all tiles if (pos.tiles[v] > 0) and (left[v] == 0): if done.remove_unfixed(v): changed = True else: possible = sum((1 if v in cell else 0) for cell in done.cells) # If the number of possible cells for a value is exactly the number of available tiles # put a tile in each cell if pos.tiles[v] == possible: for i in range(done.count): cell = done.cells[i] if (not done.already_done(i)) and (v in cell): done.set_done(i, v) changed = True # Force empty or non-empty around filled cells filled_cells = (range(done.count) if last_move is None else [last_move]) for i in filled_cells: if done.already_done(i): num = done[i][0] empties = 0 filled = 0 unknown = [] cells_around = pos.hex.get_by_id(i).links for nid in cells_around: if done.already_done(nid): if done[nid][0] == EMPTY: empties += 1 else: filled += 1 else: unknown.append(nid) if len(unknown) > 0: if num == filled: for u in unknown: if EMPTY in done[u]: done.set_done(u, EMPTY) changed = True # else: # raise Exception("Houston, we've got a problem") elif num == filled + len(unknown): for u in unknown: if done.remove(u, EMPTY): changed = True return changed ASCENDING = 1 DESCENDING = -1 def find_moves(pos, strategy, order): done = pos.done cell_id = done.next_cell(pos, strategy) if cell_id < 0: return [] if order == ASCENDING: return [(cell_id, v) for v in done[cell_id]] else: # Try higher values first and EMPTY last moves = list(reversed([(cell_id, v) for v in done[cell_id] if v != EMPTY])) if EMPTY in done[cell_id]: moves.append((cell_id, EMPTY)) return moves def play_move(pos, move): (cell_id, i) = move pos.done.set_done(cell_id, i) def print_pos(pos, output): hex = pos.hex done = pos.done size = hex.size for y in range(size): print(" " * (size - y - 1), end="", file=output) for x in range(size + y): pos2 = (x, y) id = hex.get_by_pos(pos2).id if done.already_done(id): c = str(done[id][0]) if done[id][0] != EMPTY else "." else: c = "?" print("%s " % c, end="", file=output) print(end="\n", file=output) for y in range(1, size): print(" " * y, end="", file=output) for x in range(y, size * 2 - 1): ry = size + y - 1 pos2 = (x, ry) id = hex.get_by_pos(pos2).id if done.already_done(id): c = str(done[id][0]) if done[id][0] != EMPTY else "." else: c = "?" print("%s " % c, end="", file=output) print(end="\n", file=output) OPEN = 0 SOLVED = 1 IMPOSSIBLE = -1 def solved(pos, output, verbose=False): hex = pos.hex tiles = pos.tiles[:] done = pos.done exact = True all_done = True for i in range(hex.count): if len(done[i]) == 0: return IMPOSSIBLE elif done.already_done(i): num = done[i][0] tiles[num] -= 1 if (tiles[num] < 0): return IMPOSSIBLE vmax = 0 vmin = 0 if num != EMPTY: cells_around = hex.get_by_id(i).links for nid in cells_around: if done.already_done(nid): if done[nid][0] != EMPTY: vmin += 1 vmax += 1 else: vmax += 1 if (num < vmin) or (num > vmax): return IMPOSSIBLE if num != vmin: exact = False else: all_done = False if (not all_done) or (not exact): return OPEN print_pos(pos, output) return SOLVED def solve_step(prev, strategy, order, output, first=False): if first: pos = prev.clone() while constraint_pass(pos): pass else: pos = prev moves = find_moves(pos, strategy, order) if len(moves) == 0: return solved(pos, output) else: for move in moves: # print("Trying (%d, %d)" % (move[0], move[1])) ret = OPEN new_pos = pos.clone() play_move(new_pos, move) # print_pos(new_pos) while constraint_pass(new_pos, move[0]): pass cur_status = solved(new_pos, output) if cur_status != OPEN: ret = cur_status else: ret = solve_step(new_pos, strategy, order, output) if ret == SOLVED: return SOLVED return IMPOSSIBLE def check_valid(pos): hex = pos.hex tiles = pos.tiles # fill missing entries in tiles tot = 0 for i in range(8): if tiles[i] > 0: tot += tiles[i] else: tiles[i] = 0 # check total if tot != hex.count: raise Exception( "Invalid input. Expected %d tiles, got %d." % (hex.count, tot)) def solve(pos, strategy, order, output): check_valid(pos) return solve_step(pos, strategy, order, output, first=True) # TODO Write an 'iterator' to go over all x,y positions def read_file(file): lines = [line.strip("\r\n") for line in file.splitlines()] size = int(lines[0]) hex = Hex(size) linei = 1 tiles = 8 * [0] done = Done(hex.count) for y in range(size): line = lines[linei][size - y - 1:] p = 0 for x in range(size + y): tile = line[p:p + 2] p += 2 if tile[1] == ".": inctile = EMPTY else: inctile = int(tile) tiles[inctile] += 1 # Look for locked tiles if tile[0] == "+": # print("Adding locked tile: %d at pos %d, %d, id=%d" % # (inctile, x, y, hex.get_by_pos((x, y)).id)) done.set_done(hex.get_by_pos((x, y)).id, inctile) linei += 1 for y in range(1, size): ry = size - 1 + y line = lines[linei][y:] p = 0 for x in range(y, size * 2 - 1): tile = line[p:p + 2] p += 2 if tile[1] == ".": inctile = EMPTY else: inctile = int(tile) tiles[inctile] += 1 # Look for locked tiles if tile[0] == "+": # print("Adding locked tile: %d at pos %d, %d, id=%d" % # (inctile, x, ry, hex.get_by_pos((x, ry)).id)) done.set_done(hex.get_by_pos((x, ry)).id, inctile) linei += 1 hex.link_nodes() done.filter_tiles(tiles) return Pos(hex, tiles, done) def solve_file(file, strategy, order, output): pos = read_file(file) solve(pos, strategy, order, output) LEVELS = {} LEVELS[2] = (""" 2 . 1 . 1 1 1 . """, """\ 1 1 . . . 1 1 """) LEVELS[10] = (""" 3 +.+. . +. 0 . 2 . 1+2 1 . 2 . 0+. .+.+. """, """\ . . 1 . 1 . 2 0 . 2 2 . . . . . 0 . . """) LEVELS[20] = (""" 3 . 5 4 . 2+.+1 . 3+2 3 . +2+. 5 . . 3 . """, """\ 3 3 2 4 5 . 1 3 5 2 . . 2 . . . . . . """) LEVELS[25] = (""" 3 4 . . . . 2 . 4 3 2 . 4 2 2 3 . 4 2 4 """, """\ 3 4 2 2 4 4 . . . . 4 2 . 2 4 3 . 2 . """) LEVELS[30] = (""" 4 5 5 . . 3 . 2+2 6 3 . 2 . 5 . . 3 3+4 4 . 3 4 5 4 . 5 4 5+2 . . 3 4 . . . """, """\ 3 4 3 . 4 6 5 2 . 2 5 5 . . 2 . . 5 4 . 4 3 . 3 5 4 5 4 . 2 . 3 3 . . . . """) LEVELS[36] = (""" 4 2 1 1 2 3 3 3 . . 2 3 3 . 4 . . 2 . 2 4 3 2 2 2 . . . 2 4 3 4 . . 3 2 3 3 """, """\ 3 4 3 2 3 4 4 . 3 2 . . 3 4 3 2 . 1 . 3 . 2 3 3 . 2 . 2 3 . 2 . 2 2 2 . 1 """) def main(loops, level): board, solution = LEVELS[level] order = DESCENDING strategy = Done.FIRST_STRATEGY stream = io.StringIO() board = board.strip() expected = solution.rstrip() range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: stream = io.StringIO() solve_file(board, strategy, order, stream) output = stream.getvalue() stream = None dt = pyperf.perf_counter() - t0 output = '\n'.join(line.rstrip() for line in output.splitlines()) if output != expected: raise AssertionError("got a wrong answer:\n%s\nexpected: %s" % (output, expected)) return dt def add_cmdline_args(cmd, args): cmd.extend(("--level", str(args.level))) if __name__ == "__main__": runner = pyperf.Runner(add_cmdline_args=add_cmdline_args) levels = sorted(LEVELS) runner.argparser.add_argument("--level", type=int, choices=levels, default=DEFAULT_LEVEL, help="Hexiom board level (default: %s)" % DEFAULT_LEVEL) args = runner.parse_args() runner.metadata['description'] = "Solver of Hexiom board game" runner.metadata['hexiom_level'] = args.level runner.bench_time_func('hexiom', main, args.level) ������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_hg_startup/�����������������������������0000775�0000000�0000000�00000000000�15141625651�0026313�5����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_hg_startup/pyproject.toml���������������0000664�0000000�0000000�00000000414�15141625651�0031226�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������[project] name = "pyperformance_bm_hg_startup" requires-python = ">=3.8" dependencies = [ "pyperf", "mercurial", ] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "hg_startup" tags = "startup" ����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_hg_startup/requirements.txt�������������0000664�0000000�0000000�00000000017�15141625651�0031575�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������mercurial==5.8 �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_hg_startup/run_benchmark.py�������������0000664�0000000�0000000�00000002176�15141625651�0031511�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������import sys import subprocess import pyperf from pyperformance.venv import get_venv_program def get_hg_version(hg_bin): # Fast-path: use directly the Python module try: from mercurial.__version__ import version if isinstance(version, bytes): return version.decode('utf8') else: return version except ImportError: pass # Slow-path: run the "hg --version" command proc = subprocess.Popen([sys.executable, hg_bin, "--version"], stdout=subprocess.PIPE, universal_newlines=True) stdout = proc.communicate()[0] if proc.returncode: print("ERROR: Mercurial command failed!") sys.exit(proc.returncode) return stdout.splitlines()[0] if __name__ == "__main__": runner = pyperf.Runner(values=25) runner.metadata['description'] = "Performance of the Python startup" args = runner.parse_args() hg_bin = get_venv_program('hg') runner.metadata['hg_version'] = get_hg_version(hg_bin) command = [sys.executable, hg_bin, "help"] runner.bench_command('hg_startup', command) ��������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_html5lib/�������������������������������0000775�0000000�0000000�00000000000�15141625651�0025653�5����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_html5lib/data/��������������������������0000775�0000000�0000000�00000000000�15141625651�0026564�5����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_html5lib/data/w3_tr_html5.html����������0000664�0000000�0000000�00000405315�15141625651�0031631�0����������������������������������������������������������������������������������������������������ustar�00root����������������������������root����������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������<!DOCTYPE html><html lang="en-US-x-Hixie"><meta charset="utf-8"><title>HTML5

Abstract

This specification defines the 5th major revision of the core language of the World Wide Web: the Hypertext Markup Language (HTML). In this version, new features are introduced to help Web application authors, new elements are introduced based on research into prevailing authoring practices, and special attention has been given to defining clear conformance criteria for user agents in an effort to improve interoperability.

Status of This document

This section describes the status of this document at the time of its publication. Other documents may supersede this document. A list of current W3C publications and the latest revision of this technical report can be found in the W3C technical reports index at http://www.w3.org/TR/.

The W3C HTML Working Group is the W3C working group responsible for this specification's progress. This specification is the 28 October 2014 Recommendation.

If you wish to make comments regarding this document in a manner that is tracked by the W3C, please submit them via our our public bug database (open bugs). If you cannot do this then you can also e-mail feedback to public-html@w3.org (subscribe, archives), and arrangements will be made to transpose the comments to our public bug database. All feedback is welcome.

A comprehensive test suite for this specification is maintained and kept up to date as part of the WebPlatform Tests project. Please see the Working Group's implementation report.

Work on evolutions of this specification proceeds at http://www.w3.org/TR/html/. The HTML5 Recommendation represents a milestone in the development of HTML but far from being the end of the road and improvements are already well under way. It is possible that future versions will no longer be published as a monolithic specification but rather as a set of smaller modules. Irrespective of whether that is the case or not, http://www.w3.org/TR/html/ will be maintained as the entry point to the entirety of HTML technology.

Work on extending this specification typically proceeds through extension specifications which should be consulted to see what new features are being reviewed.

The bulk of the text of this specification is also available in the WHATWG HTML Living Standard, under a license that permits reuse of the specification text.

This document has been reviewed by W3C Members, by software developers, and by other W3C groups and interested parties, and is endorsed by the Director as a W3C Recommendation. It is a stable document and may be used as reference material or cited from another document. W3C's role in making the Recommendation is to draw attention to the specification and to promote its widespread deployment. This enhances the functionality and interoperability of the Web.

Work on this specification is also done at the WHATWG. The W3C HTML working group actively pursues convergence of the HTML specification with the WHATWG living standard, within the bounds of the W3C HTML working group charter. There are various ways to follow this work at the WHATWG:

The following editorial changes were made since Proposed Recommendation:

  • The manner in which updates to this specification will be published was clarified.
  • The IANA registration for application/xhtml+xml was accepted during PR, leading to a small update to the corresponding section.
  • "Decoder error" was mistakenly listed as a URL-related definition when it is in fact Encoding-related
  • "Parsed URL" has been given a proper mapping to the URL specification
  • Improved the informative summary for several elements. (Mostly pointers to tag omission and ARIA rules.)
  • Updated a few references to documents that have seen new revisions (RFC4281, RFC2313, RFC3490, MPEG-DASH) and provided a more stable link to BECSS.
  • Added a note about and made some modifications to the URL reference.
  • A number of small styling tweaks were made and typos were fixed.

This document was produced by a group operating under the 5 February 2004 W3C Patent Policy. W3C maintains a public list of any patent disclosures made in connection with the deliverables of the group; that page also includes instructions for disclosing a patent. An individual who has actual knowledge of a patent which the individual believes contains Essential Claim(s) must disclose the information in accordance with section 6 of the W3C Patent Policy.

This document is governed by the 14 October 2005 W3C Process Document.

Table of Contents

pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_html5lib/pyproject.toml000066400000000000000000000004041514162565100305650ustar00rootroot00000000000000[project] name = "pyperformance_bm_html5lib" requires-python = ">=3.8" dependencies = [ "pyperf", "html5lib", ] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "html5lib" tags = "apps" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_html5lib/requirements.txt000066400000000000000000000000561514162565100311400ustar00rootroot00000000000000html5lib==1.1 six==1.16.0 webencodings==0.5.1 pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_html5lib/run_benchmark.py000066400000000000000000000016241514162565100310460ustar00rootroot00000000000000"""Wrapper script for testing the performance of the html5lib HTML 5 parser. The input data is the spec document for HTML 5, written in HTML 5. The spec was pulled from http://svn.whatwg.org/webapps/index. """ import io import os.path import html5lib import pyperf __author__ = "collinwinter@google.com (Collin Winter)" def bench_html5lib(html_file): html_file.seek(0) html5lib.parse(html_file) if __name__ == "__main__": runner = pyperf.Runner() runner.metadata['description'] = ( "Test the performance of the html5lib parser.") runner.metadata['html5lib_version'] = html5lib.__version__ # Get all our IO over with early. filename = os.path.join(os.path.dirname(__file__), "data", "w3_tr_html5.html") with open(filename, "rb") as fp: html_file = io.BytesIO(fp.read()) runner.bench_func('html5lib', bench_html5lib, html_file) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_json_dumps/000077500000000000000000000000001514162565100263145ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_json_dumps/pyproject.toml000066400000000000000000000003661514162565100312350ustar00rootroot00000000000000[project] name = "pyperformance_bm_json_dumps" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "json_dumps" tags = "serialize" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_json_dumps/run_benchmark.py000066400000000000000000000030341514162565100315040ustar00rootroot00000000000000import json import sys import pyperf EMPTY = ({}, 2000) SIMPLE_DATA = {'key1': 0, 'key2': True, 'key3': 'value', 'key4': 'foo', 'key5': 'string'} SIMPLE = (SIMPLE_DATA, 1000) NESTED_DATA = {'key1': 0, 'key2': SIMPLE[0], 'key3': 'value', 'key4': SIMPLE[0], 'key5': SIMPLE[0], 'key': '\u0105\u0107\u017c'} NESTED = (NESTED_DATA, 1000) HUGE = ([NESTED[0]] * 1000, 1) CASES = ['EMPTY', 'SIMPLE', 'NESTED', 'HUGE'] def bench_json_dumps(data): for obj, count_it in data: for _ in count_it: json.dumps(obj) def add_cmdline_args(cmd, args): if args.cases: cmd.extend(("--cases", args.cases)) def main(): runner = pyperf.Runner(add_cmdline_args=add_cmdline_args) runner.argparser.add_argument("--cases", help="Comma separated list of cases. Available cases: %s. By default, run all cases." % ', '.join(CASES)) runner.metadata['description'] = "Benchmark json.dumps()" args = runner.parse_args() if args.cases: cases = [] for case in args.cases.split(','): case = case.strip() if case: cases.append(case) if not cases: print("ERROR: empty list of cases") sys.exit(1) else: cases = CASES data = [] for case in cases: obj, count = globals()[case] data.append((obj, range(count))) runner.bench_func('json_dumps', bench_json_dumps, data) if __name__ == '__main__': main() pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_json_loads/000077500000000000000000000000001514162565100262665ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_json_loads/pyproject.toml000066400000000000000000000003661514162565100312070ustar00rootroot00000000000000[project] name = "pyperformance_bm_json_loads" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "json_loads" tags = "serialize" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_json_loads/run_benchmark.py000066400000000000000000000053741514162565100314670ustar00rootroot00000000000000 """Script for testing the performance of json parsing and serialization. This will dump/load several real world-representative objects a few thousand times. The methodology below was chosen for was chosen to be similar to real-world scenarios which operate on single objects at a time. """ # Python imports import json import random import sys # Local imports import pyperf DICT = { 'ads_flags': 0, 'age': 18, 'bulletin_count': 0, 'comment_count': 0, 'country': 'BR', 'encrypted_id': 'G9urXXAJwjE', 'favorite_count': 9, 'first_name': '', 'flags': 412317970704, 'friend_count': 0, 'gender': 'm', 'gender_for_display': 'Male', 'id': 302935349, 'is_custom_profile_icon': 0, 'last_name': '', 'locale_preference': 'pt_BR', 'member': 0, 'tags': ['a', 'b', 'c', 'd', 'e', 'f', 'g'], 'profile_foo_id': 827119638, 'secure_encrypted_id': 'Z_xxx2dYx3t4YAdnmfgyKw', 'session_number': 2, 'signup_id': '201-19225-223', 'status': 'A', 'theme': 1, 'time_created': 1225237014, 'time_updated': 1233134493, 'unread_message_count': 0, 'user_group': '0', 'username': 'collinwinter', 'play_count': 9, 'view_count': 7, 'zip': ''} TUPLE = ( [265867233, 265868503, 265252341, 265243910, 265879514, 266219766, 266021701, 265843726, 265592821, 265246784, 265853180, 45526486, 265463699, 265848143, 265863062, 265392591, 265877490, 265823665, 265828884, 265753032], 60) def mutate_dict(orig_dict, random_source): new_dict = dict(orig_dict) for key, value in new_dict.items(): rand_val = random_source.random() * sys.maxsize if isinstance(key, (int, bytes, str)): new_dict[key] = type(key)(rand_val) return new_dict random_source = random.Random(5) # Fixed seed. DICT_GROUP = [mutate_dict(DICT, random_source) for _ in range(3)] def bench_json_loads(objs): for obj in objs: # 20 loads json.loads(obj) json.loads(obj) json.loads(obj) json.loads(obj) json.loads(obj) json.loads(obj) json.loads(obj) json.loads(obj) json.loads(obj) json.loads(obj) json.loads(obj) json.loads(obj) json.loads(obj) json.loads(obj) json.loads(obj) json.loads(obj) json.loads(obj) json.loads(obj) json.loads(obj) json.loads(obj) if __name__ == "__main__": runner = pyperf.Runner() runner.metadata['description'] = "Benchmark json.loads()" json_dict = json.dumps(DICT) json_tuple = json.dumps(TUPLE) json_dict_group = json.dumps(DICT_GROUP) objs = (json_dict, json_tuple, json_dict_group) runner.bench_func('json_loads', bench_json_loads, objs, inner_loops=20) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_logging/000077500000000000000000000000001514162565100255615ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_logging/pyproject.toml000066400000000000000000000003351514162565100304760ustar00rootroot00000000000000[project] name = "pyperformance_bm_logging" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "logging" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_logging/run_benchmark.py000066400000000000000000000100741514162565100307530ustar00rootroot00000000000000""" Script for testing the performance of logging simple messages. Rationale for logging_silent by Antoine Pitrou: "The performance of silent logging calls is actually important for all applications which have debug() calls in their critical paths. This is quite common in network and/or distributed programming where you want to allow logging many events for diagnosis of unexpected runtime issues (because many unexpected conditions can appear), but with those logs disabled by default for performance and readability reasons." https://mail.python.org/pipermail/speed/2017-May/000576.html """ # Python imports import io import logging # Third party imports import pyperf # A simple format for parametered logging FORMAT = 'important: %s' MESSAGE = 'some important information to be logged' def truncate_stream(stream): stream.seek(0) stream.truncate() def bench_silent(loops, logger, stream): truncate_stream(stream) # micro-optimization: use fast local variables m = MESSAGE range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: # repeat 10 times logger.debug(m) logger.debug(m) logger.debug(m) logger.debug(m) logger.debug(m) logger.debug(m) logger.debug(m) logger.debug(m) logger.debug(m) logger.debug(m) dt = pyperf.perf_counter() - t0 if len(stream.getvalue()) != 0: raise ValueError("stream is expected to be empty") return dt def bench_simple_output(loops, logger, stream): truncate_stream(stream) # micro-optimization: use fast local variables m = MESSAGE range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: # repeat 10 times logger.warning(m) logger.warning(m) logger.warning(m) logger.warning(m) logger.warning(m) logger.warning(m) logger.warning(m) logger.warning(m) logger.warning(m) logger.warning(m) dt = pyperf.perf_counter() - t0 lines = stream.getvalue().splitlines() if len(lines) != loops * 10: raise ValueError("wrong number of lines") return dt def bench_formatted_output(loops, logger, stream): truncate_stream(stream) # micro-optimization: use fast local variables fmt = FORMAT msg = MESSAGE range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: # repeat 10 times logger.warning(fmt, msg) logger.warning(fmt, msg) logger.warning(fmt, msg) logger.warning(fmt, msg) logger.warning(fmt, msg) logger.warning(fmt, msg) logger.warning(fmt, msg) logger.warning(fmt, msg) logger.warning(fmt, msg) logger.warning(fmt, msg) dt = pyperf.perf_counter() - t0 lines = stream.getvalue().splitlines() if len(lines) != loops * 10: raise ValueError("wrong number of lines") return dt def add_cmdline_args(cmd, args): if args.benchmark: cmd.append(args.benchmark) BENCHMARKS = { "silent": bench_silent, "simple": bench_simple_output, "format": bench_formatted_output, } if __name__ == "__main__": runner = pyperf.Runner(add_cmdline_args=add_cmdline_args) runner.metadata['description'] = "Test the performance of logging." parser = runner.argparser parser.add_argument("benchmark", nargs='?', choices=sorted(BENCHMARKS)) options = runner.parse_args() # NOTE: StringIO performance will impact the results... stream = io.StringIO() handler = logging.StreamHandler(stream=stream) logger = logging.getLogger("benchlogger") logger.propagate = False logger.addHandler(handler) logger.setLevel(logging.WARNING) if options.benchmark: benchmarks = (options.benchmark,) else: benchmarks = sorted(BENCHMARKS) for bench in benchmarks: name = 'logging_%s' % bench bench_func = BENCHMARKS[bench] runner.bench_time_func(name, bench_func, logger, stream, inner_loops=10) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_mako/000077500000000000000000000000001514162565100250625ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_mako/pyproject.toml000066400000000000000000000003751514162565100300030ustar00rootroot00000000000000[project] name = "pyperformance_bm_mako" requires-python = ">=3.8" dependencies = [ "pyperf", "Mako", ] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "mako" tags = "template" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_mako/requirements.txt000066400000000000000000000000361514162565100303450ustar00rootroot00000000000000mako==1.1.4 markupsafe==2.0.1 pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_mako/run_benchmark.py000066400000000000000000000072361514162565100302620ustar00rootroot00000000000000""" Benchmark for test the performance of Mako templates engine. Includes: -two template inherences -HTML escaping, XML escaping, URL escaping, whitespace trimming -function defitions and calls -forloops """ import functools import sys import pyperf # Mako imports (w/o markupsafe) sys.modules['markupsafe'] = None import mako # noqa from mako.template import Template # noqa from mako.lookup import TemplateLookup # noqa __author__ = "virhilo@gmail.com (Lukasz Fidosz)" LOREM_IPSUM = """Quisque lobortis hendrerit posuere. Curabitur aliquet consequat sapien molestie pretium. Nunc adipiscing luc tus mi, viverra porttitor lorem vulputate et. Ut at purus sem, sed tincidunt ante. Vestibulum ante ipsum primis in faucibus orci luctus et ultrices posuere cubilia Curae; Praesent pulvinar sodales justo at congue. Praesent aliquet facilisis nisl a molestie. Sed tempus nisl ut augue eleifend tincidunt. Sed a lacinia nulla. Cras tortor est, mollis et consequat at, vulputate et orci. Nulla sollicitudin""" BASE_TEMPLATE = """ <%def name="render_table(table)"> % for row in table: % for col in row: % endfor % endfor
${col|h}
<%def name="img(src, alt)"> ${alt} ${title|h,trim} ${next.body()} """ PAGE_TEMPLATE = """ <%inherit file="base.mako"/> % for row in table: % for col in row: % endfor % endfor
${col}
% for nr in range(img_count): ${parent.img('/foo/bar/baz.png', 'no image :o')} % endfor ${next.body()} % for nr in paragraphs:

${lorem|x}

% endfor ${parent.render_table(table)} """ CONTENT_TEMPLATE = """ <%inherit file="page.mako"/> <%def name="fun1()"> fun1 <%def name="fun2()"> fun2 <%def name="fun3()"> foo3 <%def name="fun4()"> foo4 <%def name="fun5()"> foo5 <%def name="fun6()"> foo6

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nam laoreet justo in velit faucibus lobortis. Sed dictum sagittis volutpat. Sed adipiscing vestibulum consequat. Nullam laoreet, ante nec pretium varius, libero arcu porttitor orci, id cursus odio nibh nec leo. Vestibulum dapibus pellentesque purus, sed bibendum tortor laoreet id. Praesent quis sodales ipsum. Fusce ut ligula sed diam pretium sagittis vel at ipsum. Nulla sagittis sem quam, et volutpat velit. Fusce dapibus ligula quis lectus ultricies tempor. Pellente

${fun1()} ${fun2()} ${fun3()} ${fun4()} ${fun5()} ${fun6()} """ def bench_mako(runner, table_size, nparagraph, img_count): lookup = TemplateLookup() lookup.put_string('base.mako', BASE_TEMPLATE) lookup.put_string('page.mako', PAGE_TEMPLATE) template = Template(CONTENT_TEMPLATE, lookup=lookup) table = [range(table_size) for i in range(table_size)] paragraphs = range(nparagraph) title = 'Hello world!' func = functools.partial(template.render, table=table, paragraphs=paragraphs, lorem=LOREM_IPSUM, title=title, img_count=img_count, range=range) runner.bench_func('mako', func) if __name__ == "__main__": runner = pyperf.Runner() runner.metadata['description'] = "Mako templates" runner.metadata['mako_version'] = mako.__version__ table_size = 150 nparagraph = 50 img_count = 50 bench_mako(runner, table_size, nparagraph, img_count) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_mdp/000077500000000000000000000000001514162565100247135ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_mdp/pyproject.toml000066400000000000000000000003251514162565100276270ustar00rootroot00000000000000[project] name = "pyperformance_bm_mdp" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "mdp" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_mdp/run_benchmark.py000066400000000000000000000211351514162565100301050ustar00rootroot00000000000000import collections from collections import defaultdict from fractions import Fraction import pyperf def topoSort(roots, getParents): """Return a topological sorting of nodes in a graph. roots - list of root nodes to search from getParents - function which returns the parents of a given node """ results = [] visited = set() # Use iterative version to avoid stack limits for large datasets stack = [(node, 0) for node in roots] while stack: current, state = stack.pop() if state == 0: # before recursing if current not in visited: visited.add(current) stack.append((current, 1)) stack.extend((parent, 0) for parent in getParents(current)) else: # after recursing assert(current in visited) results.append(current) return results def getDamages(L, A, D, B, stab, te): x = (2 * L) // 5 x = ((x + 2) * A * B) // (D * 50) + 2 if stab: x += x // 2 x = int(x * te) return [(x * z) // 255 for z in range(217, 256)] def getCritDist(L, p, A1, A2, D1, D2, B, stab, te): p = min(p, Fraction(1)) norm = getDamages(L, A1, D1, B, stab, te) crit = getDamages(L * 2, A2, D2, B, stab, te) dist = defaultdict(Fraction) for mult, vals in zip([1 - p, p], [norm, crit]): mult /= len(vals) for x in vals: dist[x] += mult return dist def plus12(x): return x + x // 8 stats_t = collections.namedtuple('stats_t', ['atk', 'df', 'speed', 'spec']) NOMODS = stats_t(0, 0, 0, 0) fixeddata_t = collections.namedtuple( 'fixeddata_t', ['maxhp', 'stats', 'lvl', 'badges', 'basespeed']) halfstate_t = collections.namedtuple( 'halfstate_t', ['fixed', 'hp', 'status', 'statmods', 'stats']) def applyHPChange(hstate, change): hp = min(hstate.fixed.maxhp, max(0, hstate.hp + change)) return hstate._replace(hp=hp) def applyBadgeBoosts(badges, stats): return stats_t(*[(plus12(x) if b else x) for x, b in zip(stats, badges)]) attack_stats_t = collections.namedtuple( 'attack_stats_t', ['power', 'isspec', 'stab', 'te', 'crit']) attack_data = { 'Ember': attack_stats_t(40, True, True, 0.5, False), 'Dig': attack_stats_t(100, False, False, 1, False), 'Slash': attack_stats_t(70, False, False, 1, True), 'Water Gun': attack_stats_t(40, True, True, 2, False), 'Bubblebeam': attack_stats_t(65, True, True, 2, False), } def _applyActionSide1(state, act): me, them, extra = state if act == 'Super Potion': me = applyHPChange(me, 50) return {(me, them, extra): Fraction(1)} mdata = attack_data[act] aind = 3 if mdata.isspec else 0 dind = 3 if mdata.isspec else 1 pdiv = 64 if mdata.crit else 512 dmg_dist = getCritDist(me.fixed.lvl, Fraction(me.fixed.basespeed, pdiv), me.stats[aind], me.fixed.stats[aind], them.stats[ dind], them.fixed.stats[dind], mdata.power, mdata.stab, mdata.te) dist = defaultdict(Fraction) for dmg, p in dmg_dist.items(): them2 = applyHPChange(them, -dmg) dist[me, them2, extra] += p return dist def _applyAction(state, side, act): if side == 0: return _applyActionSide1(state, act) else: me, them, extra = state dist = _applyActionSide1((them, me, extra), act) return {(k[1], k[0], k[2]): v for k, v in dist.items()} class Battle(object): def __init__(self): self.successors = {} self.min = defaultdict(float) self.max = defaultdict(lambda: 1.0) self.frozen = set() self.win = 4, True self.loss = 4, False self.max[self.loss] = 0.0 self.min[self.win] = 1.0 self.frozen.update([self.win, self.loss]) def _getSuccessorsA(self, statep): st, state = statep for action in ['Dig', 'Super Potion']: yield (1, state, action) def _applyActionPair(self, state, side1, act1, side2, act2, dist, pmult): for newstate, p in _applyAction(state, side1, act1).items(): if newstate[0].hp == 0: newstatep = self.loss elif newstate[1].hp == 0: newstatep = self.win else: newstatep = 2, newstate, side2, act2 dist[newstatep] += p * pmult def _getSuccessorsB(self, statep): st, state, action = statep dist = defaultdict(Fraction) for eact, p in [('Water Gun', Fraction(64, 130)), ('Bubblebeam', Fraction(66, 130))]: priority1 = state[0].stats.speed + \ 10000 * (action == 'Super Potion') priority2 = state[1].stats.speed + 10000 * (action == 'X Defend') if priority1 > priority2: self._applyActionPair(state, 0, action, 1, eact, dist, p) elif priority1 < priority2: self._applyActionPair(state, 1, eact, 0, action, dist, p) else: self._applyActionPair(state, 0, action, 1, eact, dist, p / 2) self._applyActionPair(state, 1, eact, 0, action, dist, p / 2) return {k: float(p) for k, p in dist.items() if p > 0} def _getSuccessorsC(self, statep): st, state, side, action = statep dist = defaultdict(Fraction) for newstate, p in _applyAction(state, side, action).items(): if newstate[0].hp == 0: newstatep = self.loss elif newstate[1].hp == 0: newstatep = self.win else: newstatep = 0, newstate dist[newstatep] += p return {k: float(p) for k, p in dist.items() if p > 0} def getSuccessors(self, statep): try: return self.successors[statep] except KeyError: st = statep[0] if st == 0: result = list(self._getSuccessorsA(statep)) else: if st == 1: dist = self._getSuccessorsB(statep) elif st == 2: dist = self._getSuccessorsC(statep) result = sorted(dist.items(), key=lambda t: (-t[1], t[0])) self.successors[statep] = result return result def getSuccessorsList(self, statep): if statep[0] == 4: return [] temp = self.getSuccessors(statep) if statep[0] != 0: temp = list(zip(*temp))[0] if temp else [] return temp def evaluate(self, tolerance=0.15): badges = 1, 0, 0, 0 starfixed = fixeddata_t(59, stats_t(40, 44, 56, 50), 11, NOMODS, 115) starhalf = halfstate_t(starfixed, 59, 0, NOMODS, stats_t(40, 44, 56, 50)) charfixed = fixeddata_t(63, stats_t(39, 34, 46, 38), 26, badges, 65) charhalf = halfstate_t(charfixed, 63, 0, NOMODS, applyBadgeBoosts( badges, stats_t(39, 34, 46, 38))) initial_state = charhalf, starhalf, 0 initial_statep = 0, initial_state dmin, dmax, frozen = self.min, self.max, self.frozen stateps = topoSort([initial_statep], self.getSuccessorsList) itercount = 0 while dmax[initial_statep] - dmin[initial_statep] > tolerance: itercount += 1 for sp in stateps: if sp in frozen: continue if sp[0] == 0: # choice node dmin[sp] = max(dmin[sp2] for sp2 in self.getSuccessors(sp)) dmax[sp] = max(dmax[sp2] for sp2 in self.getSuccessors(sp)) else: dmin[sp] = sum(dmin[sp2] * p for sp2, p in self.getSuccessors(sp)) dmax[sp] = sum(dmax[sp2] * p for sp2, p in self.getSuccessors(sp)) if dmin[sp] >= dmax[sp]: dmax[sp] = dmin[sp] = (dmin[sp] + dmax[sp]) / 2 frozen.add(sp) return (dmax[initial_statep] + dmin[initial_statep]) / 2 def bench_mdp(loops): expected = 0.89873589887 max_diff = 1e-6 range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: result = Battle().evaluate(0.192) dt = pyperf.perf_counter() - t0 if abs(result - expected) > max_diff: raise Exception("invalid result: got %s, expected %s " "(diff: %s, max diff: %s)" % (result, expected, result - expected, max_diff)) return dt if __name__ == "__main__": runner = pyperf.Runner() runner.metadata['description'] = "MDP benchmark" runner.bench_time_func('mdp', bench_mdp) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_meteor_contest/000077500000000000000000000000001514162565100271655ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_meteor_contest/pyproject.toml000066400000000000000000000003531514162565100321020ustar00rootroot00000000000000[project] name = "pyperformance_bm_meteor_contest" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "meteor_contest" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_meteor_contest/run_benchmark.py000066400000000000000000000175131514162565100323640ustar00rootroot00000000000000""" Meteor Puzzle board: http://benchmarksgame.alioth.debian.org/u32/meteor-description.html#meteor The Computer Language Benchmarks Game http://benchmarksgame.alioth.debian.org/ contributed by Daniel Nanz, 2008-08-21 """ from bisect import bisect import pyperf SOLVE_ARG = 60 WIDTH, HEIGHT = 5, 10 DIR_NO = 6 S, E = WIDTH * HEIGHT, 2 SE = S + (E / 2) SW = SE - E W, NW, NE = -E, -SE, -SW SOLUTIONS = [ '00001222012661126155865558633348893448934747977799', '00001222012771127148774485464855968596835966399333', '00001222012771127148774485494855998596835966366333', '00001222012771127148774485994855948596835966366333', '00001222012771127166773863384653846538445584959999', '00001222012771127183778834833348555446554666969999', '00001222012771127183778834833348555446554966699996', '00001223012331123166423564455647456775887888979999', '00001555015541144177484726877268222683336689399993', '00001555015541144177484728677286222863338669399993', '00001599015591159148594482224827748276837766366333', '00001777017871184155845558449984669662932629322333', '00004222042664426774996879687759811598315583153331', '00004222042774427384773183331866118615586555969999', '00004223042334423784523785771855718566186611969999', '00004227042874428774528735833155831566316691169999', '00004333045534455384175781777812228116286662969999', '00004333045934459384559185991866118612286727267772', '00004333047734427384277182221866118615586555969999', '00004555045514411224172621768277368736683339899998', '00004555045514411224172721777299998966836688368333', '00004555045534413334132221177266172677886888969999', '00004555045534473334739967792617926192661882211888', '00004555045564466694699992288828811233317273177731', '00004555045564466694699997773172731233312881122888', '00004555045564496664999962288828811233317273177731', '00004555045564496664999967773172731233312881122888', '00004555045584411884171187722866792679236992369333', '00004555045584411884191189999832226333267372677766', '00004555045584411884191189999866222623336727367773', '13335138551389511895778697869947762446624022240000', '13777137271333211882888226999946669446554055540000', '13777137271333211882888229999649666446554055540000', '27776272768221681166819958195548395443954033340000', '33322392623926696648994485554855148117871077710000', '33366366773867284772842228449584195119551099510000', '33366366953869584955849958447784172117721022210000', '33366366953869589955849458447784172117721022210000', '33386388663866989999277712727142211441554055540000', '33396329963297629766822778117148811448554055540000', '33399366953869586955846458447784172117721022210000', '37776372763332622266899998119148811448554055540000', '39999396683336822268277682748477144114551055510000', '39999398663338622286277862748477144114551055510000', '66777627376233362223899998119148811448554055540000', '69999666945564455584333843887738172117721022210000', '88811228816629162971629776993743337443554055540000', '88822118821333213727137776999946669446554055540000', '88822118821333213727137779999649666446554055540000', '89999893338663786377286712627142211441554055540000', '99777974743984439884333685556855162116621022210000', '99995948554483564835648336837766172117721022210000', '99996119661366513855133853782547782447824072240000', '99996911668166581755817758732548732443324032240000', '99996926668261182221877718757148355443554033340000', '99996955568551681166812228177248372443774033340000', '99996955568551681166813338137748372447724022240000', '99996966645564455584333843887738172117721022210000', '99996988868877627166277112223143331443554055540000', '99997988878857765474655446532466132113321032210000'] def rotate(ido, rd={E: NE, NE: NW, NW: W, W: SW, SW: SE, SE: E}): return [rd[o] for o in ido] def flip(ido, fd={E: E, NE: SE, NW: SW, W: W, SW: NW, SE: NE}): return [fd[o] for o in ido] def permute(ido, r_ido, rotate=rotate, flip=flip): ps = [ido] for r in range(DIR_NO - 1): ps.append(rotate(ps[-1])) if ido == r_ido: # C2-symmetry ps = ps[0:DIR_NO // 2] for pp in ps[:]: ps.append(flip(pp)) return ps def convert(ido): '''incremental direction offsets -> "coordinate offsets" ''' out = [0] for o in ido: out.append(out[-1] + o) return list(set(out)) def get_footprints(board, cti, pieces): fps = [[[] for p in range(len(pieces))] for ci in range(len(board))] for c in board: for pi, p in enumerate(pieces): for pp in p: fp = frozenset([cti[c + o] for o in pp if (c + o) in cti]) if len(fp) == 5: fps[min(fp)][pi].append(fp) return fps def get_senh(board, cti): '''-> south-east neighborhood''' se_nh = [] nh = [E, SW, SE] for c in board: se_nh.append(frozenset([cti[c + o] for o in nh if (c + o) in cti])) return se_nh def get_puzzle(width, height): board = [E * x + S * y + (y % 2) for y in range(height) for x in range(width)] cti = dict((board[i], i) for i in range(len(board))) # Incremental direction offsets idos = [[E, E, E, SE], [SE, SW, W, SW], [W, W, SW, SE], [E, E, SW, SE], [NW, W, NW, SE, SW], [E, E, NE, W], [NW, NE, NE, W], [NE, SE, E, NE], [SE, SE, E, SE], [E, NW, NW, NW]] # Restrict piece 4 perms = (permute(p, idos[3]) for p in idos) pieces = [[convert(pp) for pp in p] for p in perms] return (board, cti, pieces) def solve(n, i_min, free, curr_board, pieces_left, solutions, fps, se_nh, # Hack to use a fast local variable to avoid a global lookup bisect=bisect): fp_i_cands = fps[i_min] for p in pieces_left: fp_cands = fp_i_cands[p] for fp in fp_cands: if fp <= free: n_curr_board = curr_board[:] for ci in fp: n_curr_board[ci] = p if len(pieces_left) > 1: n_free = free - fp n_i_min = min(n_free) if len(n_free & se_nh[n_i_min]) > 0: n_pieces_left = pieces_left[:] n_pieces_left.remove(p) solve(n, n_i_min, n_free, n_curr_board, n_pieces_left, solutions, fps, se_nh) else: s = ''.join(map(str, n_curr_board)) solutions.insert(bisect(solutions, s), s) rs = s[::-1] solutions.insert(bisect(solutions, rs), rs) if len(solutions) >= n: return if len(solutions) >= n: return def bench_meteor_contest(loops, board, pieces, solve_arg, fps, se_nh): range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: free = frozenset(range(len(board))) curr_board = [-1] * len(board) pieces_left = list(range(len(pieces))) solutions = [] solve(solve_arg, 0, free, curr_board, pieces_left, solutions, fps, se_nh) dt = pyperf.perf_counter() - t0 if solutions != SOLUTIONS: raise ValueError("unexpected solutions") return dt def main(): runner = pyperf.Runner() runner.metadata['description'] = "Solver for Meteor Puzzle board" board, cti, pieces = get_puzzle(WIDTH, HEIGHT) fps = get_footprints(board, cti, pieces) se_nh = get_senh(board, cti) solve_arg = SOLVE_ARG runner.bench_time_func('meteor_contest', bench_meteor_contest, board, pieces, solve_arg, fps, se_nh) if __name__ == "__main__": main() pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_nbody/000077500000000000000000000000001514162565100252465ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_nbody/pyproject.toml000066400000000000000000000003471514162565100301660ustar00rootroot00000000000000[project] name = "pyperformance_bm_nbody" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "nbody" tags = "math" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_nbody/run_benchmark.py000066400000000000000000000116571514162565100304500ustar00rootroot00000000000000""" N-body benchmark from the Computer Language Benchmarks Game. This is intended to support Unladen Swallow's pyperf.py. Accordingly, it has been modified from the Shootout version: - Accept standard Unladen Swallow benchmark options. - Run report_energy()/advance() in a loop. - Reimplement itertools.combinations() to work with older Python versions. Pulled from: http://benchmarksgame.alioth.debian.org/u64q/program.php?test=nbody&lang=python3&id=1 Contributed by Kevin Carson. Modified by Tupteq, Fredrik Johansson, and Daniel Nanz. """ import pyperf __contact__ = "collinwinter@google.com (Collin Winter)" DEFAULT_ITERATIONS = 20000 DEFAULT_REFERENCE = 'sun' def combinations(l): """Pure-Python implementation of itertools.combinations(l, 2).""" result = [] for x in range(len(l) - 1): ls = l[x + 1:] for y in ls: result.append((l[x], y)) return result PI = 3.14159265358979323 SOLAR_MASS = 4 * PI * PI DAYS_PER_YEAR = 365.24 BODIES = { 'sun': ([0.0, 0.0, 0.0], [0.0, 0.0, 0.0], SOLAR_MASS), 'jupiter': ([4.84143144246472090e+00, -1.16032004402742839e+00, -1.03622044471123109e-01], [1.66007664274403694e-03 * DAYS_PER_YEAR, 7.69901118419740425e-03 * DAYS_PER_YEAR, -6.90460016972063023e-05 * DAYS_PER_YEAR], 9.54791938424326609e-04 * SOLAR_MASS), 'saturn': ([8.34336671824457987e+00, 4.12479856412430479e+00, -4.03523417114321381e-01], [-2.76742510726862411e-03 * DAYS_PER_YEAR, 4.99852801234917238e-03 * DAYS_PER_YEAR, 2.30417297573763929e-05 * DAYS_PER_YEAR], 2.85885980666130812e-04 * SOLAR_MASS), 'uranus': ([1.28943695621391310e+01, -1.51111514016986312e+01, -2.23307578892655734e-01], [2.96460137564761618e-03 * DAYS_PER_YEAR, 2.37847173959480950e-03 * DAYS_PER_YEAR, -2.96589568540237556e-05 * DAYS_PER_YEAR], 4.36624404335156298e-05 * SOLAR_MASS), 'neptune': ([1.53796971148509165e+01, -2.59193146099879641e+01, 1.79258772950371181e-01], [2.68067772490389322e-03 * DAYS_PER_YEAR, 1.62824170038242295e-03 * DAYS_PER_YEAR, -9.51592254519715870e-05 * DAYS_PER_YEAR], 5.15138902046611451e-05 * SOLAR_MASS)} SYSTEM = list(BODIES.values()) PAIRS = combinations(SYSTEM) def advance(dt, n, bodies=SYSTEM, pairs=PAIRS): for i in range(n): for (([x1, y1, z1], v1, m1), ([x2, y2, z2], v2, m2)) in pairs: dx = x1 - x2 dy = y1 - y2 dz = z1 - z2 mag = dt * ((dx * dx + dy * dy + dz * dz) ** (-1.5)) b1m = m1 * mag b2m = m2 * mag v1[0] -= dx * b2m v1[1] -= dy * b2m v1[2] -= dz * b2m v2[0] += dx * b1m v2[1] += dy * b1m v2[2] += dz * b1m for (r, [vx, vy, vz], m) in bodies: r[0] += dt * vx r[1] += dt * vy r[2] += dt * vz def report_energy(bodies=SYSTEM, pairs=PAIRS, e=0.0): for (((x1, y1, z1), v1, m1), ((x2, y2, z2), v2, m2)) in pairs: dx = x1 - x2 dy = y1 - y2 dz = z1 - z2 e -= (m1 * m2) / ((dx * dx + dy * dy + dz * dz) ** 0.5) for (r, [vx, vy, vz], m) in bodies: e += m * (vx * vx + vy * vy + vz * vz) / 2. return e def offset_momentum(ref, bodies=SYSTEM, px=0.0, py=0.0, pz=0.0): for (r, [vx, vy, vz], m) in bodies: px -= vx * m py -= vy * m pz -= vz * m (r, v, m) = ref v[0] = px / m v[1] = py / m v[2] = pz / m def bench_nbody(loops, reference, iterations): # Set up global state offset_momentum(BODIES[reference]) range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: report_energy() advance(0.01, iterations) report_energy() return pyperf.perf_counter() - t0 def add_cmdline_args(cmd, args): cmd.extend(("--iterations", str(args.iterations))) if __name__ == '__main__': runner = pyperf.Runner(add_cmdline_args=add_cmdline_args) runner.metadata['description'] = "n-body benchmark" runner.argparser.add_argument("--iterations", type=int, default=DEFAULT_ITERATIONS, help="Number of nbody advance() iterations " "(default: %s)" % DEFAULT_ITERATIONS) runner.argparser.add_argument("--reference", type=str, default=DEFAULT_REFERENCE, help="nbody reference (default: %s)" % DEFAULT_REFERENCE) args = runner.parse_args() runner.bench_time_func('nbody', bench_nbody, args.reference, args.iterations) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_networkx/000077500000000000000000000000001514162565100260145ustar00rootroot00000000000000bm_networkx_connected_components.toml000066400000000000000000000001421514162565100354550ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_networkx[tool.pyperformance] name = "networkx_connected_components" extra_opts = ["connected_components"] pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_networkx/bm_networkx_k_core.toml000066400000000000000000000001061514162565100325670ustar00rootroot00000000000000[tool.pyperformance] name = "networkx_k_core" extra_opts = ["k_core"] pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_networkx/data/000077500000000000000000000000001514162565100267255ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_networkx/data/amazon0302.txt.gz000077500000000000000000216260161514162565100317200ustar00rootroot00000000000000‹Çlgamazon0302.txt\½ÍÎÆ`6ÉbñŸœ]€$@É*'а{6QX“rceph<”þøˆäÎ ¿‡ªÿêÒaë€J¼×hë ÿÖ£CÑEOÞ.^­÷/.,þi: ê‹'µ(ÀKWtÙp@>ûתM‡®ÃÐʇeÞÈ÷ÀÜ߃QH}PHåÕ}ÿnþÅI¿”U‹ÚLQbáI¾´Tü†‹V+õªDêw%âþÔF‰¦¼tñ›&®*gÿá"ãPtpbÓ 5æñëC‡© œúímnḩoŽWôý{ø·ëŸ®ÿÆ›mc“}ÿâ{»éÐuÀSYù佇Qô_ß>™OûÉÃi:t…ºz†ßšÍ{pâðPlRïat†(bJä=PÇæc÷Òl°ï_<Î84ÎÒx*šžuðtðX|Œth‰¶+6{ê€Î‰—ùý‹þâ= áPux3éE¿¶1ªú ÷°³¿«þ¡`U^U‚M¿5ýÖô[S^M™t‰¨-wµå®¶ÜÕ–»ñ{@ÿÔÕˆßÃ8’:lïARÇRGRƒMx¨OjÂïaë€N|¶‹÷€Ö…CWâб¢ÓUÉïEFçÃãôqùˆL;±÷@å÷•ôèPt@]"j·ï"OÎ{(¸cHfHF­ù=œ¢²™léïáøÐu: rºÒCWú=àÁºÄï7cl‰l‰lÞ/”<999¼ùï¹Ì‡õÄ¡óÀ“ÀçÆã›Ã,<©÷@áb)tÅÕG¤WIUIUeYy•fµNãÝœ¼<œ8l Ò9JÀaòÀßðÂÓ]ãÒÄ€àñÕžš*lrÄñ: PÒûí=Pv©8\+ºày8¸yè%ðß3|œ6;úÿ¥Ò{@„ÿ(U,…ã[ÛU%Uù2ÇÏðqúø^¹Õð®}ÿâ]‹Ãáa9ñÁЧSD㪥ÁÔ{@/·p1Qö ÈÈ®¡e­·{`íßþ/ »ÃG¨/¾­ßCGÊcó±ûq½ï–]këµÌcõéççó<|âPõnëf?üþ­:à·÷€vµqÅß:m x>.#ý=Õ]ùÖ}!âX|¬>b„Øøâ|á?4+§øY/¾÷@©Î‡a£S^>âס¬†„pœŠ›Î_Q‘©ñéä[‡ÃÏá½-hl{ñM…Ãá÷b£wQGu[]ÆV—ÃäÏçVÏüºþúïèPÑU *ŽFG=ò{(x6x|¯ÒQ—ñ†¸„ï¡žáã[èQñ†¸Þ§Z¨Z¨±»<m 3Ž†ï¡âN Ž† ïáè?Š¾­Ãã£n÷=PFÝîQ·{pñ/GG}Á{`w‚#ž QئÞtï²[(ìPæèÇ·©âÕÃãô‘3Š‡¿ãxü?ú1Ûã„ÎÑ÷S,Y؉á(É¢:êáì¤jÜcÑ‘ aí*7ÎÊpä4â=JõM¯˜Iwf]½A™õÈ “Â`Ï…ãôÿœz }¡2eZbZbª—#„Dá ãYÎtYt…(ºï'€u|ogP„0f/°&+g+89Âÿ›;Î}q`:æ€Ï1\NîT°p`#û4Â.LáèiTõ‚„(èlßÎЙµÁ‰Nþl*˜)òZŒýj@ 蔪Â`÷#{ &ðF¨«ÇÇ1u<þŸmSKNÿÊr‚‚.  Pykö¬g ǹœ¼uäÓôþqÂÑcFØ=`pÖýh\ýÞtža _Î-{À´§Üf¬w1ŽlƒÕ/e%Ô\ßùåÒï`Bí#€2ÝÍ•0f@Èðva2*áŽÞÌN%3#çÂ3„ß»F3æ¨^!¼¢+„Wä¼Õ«ßÓ¶Bo%`³¨cÙ²ÇM YÜ:¤¼Ôå£d5RX¦²´‡4÷€-z@ºg€zOµküTÝð8Ã=†ó0ã?µø PZM7]mó\¶Â4Ôøéð§á+Ûâžµ¸U€s?ÅÍkqó3 dxcšì5mÑ Æ#Û9áhŠz'¯C‡¥ÃÑ¡øGYºúccÓƧøŽ ò²÷bYYkø¤ƒ¹.®DwG׫Eñ ¸ü©É¤Õ›Œ‚0X[›¿Þ# $‚0(;,;Bvä/íñO—SᣣegÈâ©i¬Þ;dPÅ7e̪oŽ 'Ë5  ºj Ò;„`&ƒê(Ègxü0pszÀ˜¨Ä;=fSEÃ#B_;€?ÉT<•æqø8}dMF³`óM–@}vóìl‰˜Eë°t` Á‘ç8†3Îphr˜lw¦L½DÞ£j?ªü›Î·Ê “/Æa“&æÕÛÇ£cÕixA·%0V~J@ˆ Väøâ_œóþŸfã„)³ò{ˆ9É4–J M¶X¤„j @@qž}O¿qT®U³s%à¾ólIÈÔ£2oÖhš×¿Ó+0箆. 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pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_networkx/requirements.txt000066400000000000000000000000211514162565100312710ustar00rootroot00000000000000networkx==3.4.2 pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_networkx/run_benchmark.py000066400000000000000000000025371514162565100312130ustar00rootroot00000000000000""" Some graph algorithm benchmarks using networkx This uses the public domain Amazon data set from the SNAP benchmarks: https://snap.stanford.edu/data/amazon0302.html Choice of benchmarks inspired by Timothy Lin's work here: https://www.timlrx.com/blog/benchmark-of-popular-graph-network-packages """ import collections from pathlib import Path import networkx import pyperf DATA_FILE = Path(__file__).parent / "data" / "amazon0302.txt.gz" graph = networkx.read_adjlist(DATA_FILE) def bench_shortest_path(): collections.deque(networkx.shortest_path_length(graph, "0")) def bench_connected_components(): networkx.number_connected_components(graph) def bench_k_core(): networkx.k_core(graph) BENCHMARKS = { "shortest_path": bench_shortest_path, "connected_components": bench_connected_components, "k_core": bench_k_core, } def add_cmdline_args(cmd, args): cmd.append(args.benchmark) def add_parser_args(parser): parser.add_argument("benchmark", choices=BENCHMARKS, help="Which benchmark to run.") if __name__ == "__main__": runner = pyperf.Runner(add_cmdline_args=add_cmdline_args) runner.metadata["description"] = "NetworkX benchmark" add_parser_args(runner.argparser) args = runner.parse_args() benchmark = args.benchmark runner.bench_func(args.benchmark, BENCHMARKS[args.benchmark]) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_nqueens/000077500000000000000000000000001514162565100256115ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_nqueens/pyproject.toml000066400000000000000000000003351514162565100305260ustar00rootroot00000000000000[project] name = "pyperformance_bm_nqueens" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "nqueens" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_nqueens/run_benchmark.py000066400000000000000000000035051514162565100310040ustar00rootroot00000000000000"""Simple, brute-force N-Queens solver.""" import pyperf __author__ = "collinwinter@google.com (Collin Winter)" # Pure-Python implementation of itertools.permutations(). def permutations(iterable, r=None): """permutations(range(3), 2) --> (0,1) (0,2) (1,0) (1,2) (2,0) (2,1)""" pool = tuple(iterable) n = len(pool) if r is None: r = n indices = list(range(n)) cycles = list(range(n - r + 1, n + 1))[::-1] yield tuple(pool[i] for i in indices[:r]) while n: for i in reversed(range(r)): cycles[i] -= 1 if cycles[i] == 0: indices[i:] = indices[i + 1:] + indices[i:i + 1] cycles[i] = n - i else: j = cycles[i] indices[i], indices[-j] = indices[-j], indices[i] yield tuple(pool[i] for i in indices[:r]) break else: return # From http://code.activestate.com/recipes/576647/ def n_queens(queen_count): """N-Queens solver. Args: queen_count: the number of queens to solve for. This is also the board size. Yields: Solutions to the problem. Each yielded value is looks like (3, 8, 2, 1, 4, ..., 6) where each number is the column position for the queen, and the index into the tuple indicates the row. """ cols = range(queen_count) for vec in permutations(cols): if (queen_count == len(set(vec[i] + i for i in cols)) == len(set(vec[i] - i for i in cols))): yield vec def bench_n_queens(queen_count): list(n_queens(queen_count)) if __name__ == "__main__": runner = pyperf.Runner() runner.metadata['description'] = "Simple, brute-force N-Queens solver" queen_count = 8 runner.bench_func('nqueens', bench_n_queens, queen_count) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_pathlib/000077500000000000000000000000001514162565100255565ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_pathlib/pyproject.toml000066400000000000000000000003351514162565100304730ustar00rootroot00000000000000[project] name = "pyperformance_bm_pathlib" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "pathlib" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_pathlib/run_benchmark.py000066400000000000000000000034731514162565100307550ustar00rootroot00000000000000""" Test the performance of pathlib operations. This benchmark stresses the creation of small objects, globbing, and system calls. """ # Python imports import os import pathlib import shutil import tempfile import pyperf NUM_FILES = 2000 def generate_filenames(tmp_path, num_files): i = 0 while num_files: for ext in [".py", ".txt", ".tar.gz", ""]: i += 1 yield os.path.join(tmp_path, str(i) + ext) num_files -= 1 def setup(num_files): tmp_path = tempfile.mkdtemp() for fn in generate_filenames(tmp_path, num_files): with open(fn, "wb") as f: f.write(b'benchmark') return tmp_path def bench_pathlib(loops, tmp_path): base_path = pathlib.Path(tmp_path) # Warm up the filesystem cache and keep some objects in memory. path_objects = list(base_path.iterdir()) # FIXME: does this code really cache anything? for p in path_objects: p.stat() assert len(path_objects) == NUM_FILES, len(path_objects) range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: # Do something simple with each path. for p in base_path.iterdir(): p.stat() for p in base_path.glob("*.py"): p.stat() for p in base_path.iterdir(): p.stat() for p in base_path.glob("*.py"): p.stat() return pyperf.perf_counter() - t0 if __name__ == "__main__": runner = pyperf.Runner() runner.metadata['description'] = ("Test the performance of " "pathlib operations.") modname = pathlib.__name__ runner.metadata['pathlib_module'] = modname tmp_path = setup(NUM_FILES) try: runner.bench_time_func('pathlib', bench_pathlib, tmp_path) finally: shutil.rmtree(tmp_path) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_pickle/000077500000000000000000000000001514162565100254025ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_pickle/bm_pickle_dict.toml000066400000000000000000000004251514162565100312300ustar00rootroot00000000000000[project] name = "pyperformance_bm_pickle_dict" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "pickle_dict" tags = "serialize" extra_opts = ["pickle_dict"] pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_pickle/bm_pickle_list.toml000066400000000000000000000004251514162565100312600ustar00rootroot00000000000000[project] name = "pyperformance_bm_pickle_list" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "pickle_list" tags = "serialize" extra_opts = ["pickle_list"] pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_pickle/bm_pickle_pure_python.toml000066400000000000000000000004571514162565100326660ustar00rootroot00000000000000[project] name = "pyperformance_bm_pickle_pure_python" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "pickle_pure_python" tags = "serialize" extra_opts = ["--pure-python", "pickle"] pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_pickle/bm_unpickle.toml000066400000000000000000000004141514162565100305660ustar00rootroot00000000000000[project] name = "pyperformance_bm_unpickle" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "unpickle" tags = "serialize" extra_opts = ["unpickle"] pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_pickle/bm_unpickle_list.toml000066400000000000000000000004331514162565100316220ustar00rootroot00000000000000[project] name = "pyperformance_bm_unpickle_list" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "unpickle_list" tags = "serialize" extra_opts = ["unpickle_list"] pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_pickle/bm_unpickle_pure_python.toml000066400000000000000000000004651514162565100332300ustar00rootroot00000000000000[project] name = "pyperformance_bm_unpickle_pure_python" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "unpickle_pure_python" tags = "serialize" extra_opts = ["--pure-python", "unpickle"] pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_pickle/pyproject.toml000066400000000000000000000004061514162565100303160ustar00rootroot00000000000000[project] name = "pyperformance_bm_pickle" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "pickle" tags = "serialize" extra_opts = ["pickle"] pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_pickle/run_benchmark.py000066400000000000000000000200301514162565100305650ustar00rootroot00000000000000 """Script for testing the performance of pickling/unpickling. This will pickle/unpickle several real world-representative objects a few thousand times. The methodology below was chosen for was chosen to be similar to real-world scenarios which operate on single objects at a time. Note that if we did something like pickle.dumps([dict(some_dict) for _ in range(10000)]) this isn't equivalent to dumping the dict 10000 times: pickle uses a highly-efficient encoding for the n-1 following copies. """ import datetime import random import sys import pyperf IS_PYPY = (pyperf.python_implementation() == 'pypy') __author__ = "collinwinter@google.com (Collin Winter)" DICT = { 'ads_flags': 0, 'age': 18, 'birthday': datetime.date(1980, 5, 7), 'bulletin_count': 0, 'comment_count': 0, 'country': 'BR', 'encrypted_id': 'G9urXXAJwjE', 'favorite_count': 9, 'first_name': '', 'flags': 412317970704, 'friend_count': 0, 'gender': 'm', 'gender_for_display': 'Male', 'id': 302935349, 'is_custom_profile_icon': 0, 'last_name': '', 'locale_preference': 'pt_BR', 'member': 0, 'tags': ['a', 'b', 'c', 'd', 'e', 'f', 'g'], 'profile_foo_id': 827119638, 'secure_encrypted_id': 'Z_xxx2dYx3t4YAdnmfgyKw', 'session_number': 2, 'signup_id': '201-19225-223', 'status': 'A', 'theme': 1, 'time_created': 1225237014, 'time_updated': 1233134493, 'unread_message_count': 0, 'user_group': '0', 'username': 'collinwinter', 'play_count': 9, 'view_count': 7, 'zip': ''} TUPLE = ( [265867233, 265868503, 265252341, 265243910, 265879514, 266219766, 266021701, 265843726, 265592821, 265246784, 265853180, 45526486, 265463699, 265848143, 265863062, 265392591, 265877490, 265823665, 265828884, 265753032], 60) def mutate_dict(orig_dict, random_source): new_dict = dict(orig_dict) for key, value in new_dict.items(): rand_val = random_source.random() * sys.maxsize if isinstance(key, (int, bytes, str)): new_dict[key] = type(key)(rand_val) return new_dict random_source = random.Random(5) # Fixed seed. DICT_GROUP = [mutate_dict(DICT, random_source) for _ in range(3)] def bench_pickle(loops, pickle, options): range_it = range(loops) # micro-optimization: use fast local variables dumps = pickle.dumps objs = (DICT, TUPLE, DICT_GROUP) protocol = options.protocol t0 = pyperf.perf_counter() for _ in range_it: for obj in objs: # 20 dumps dumps(obj, protocol) dumps(obj, protocol) dumps(obj, protocol) dumps(obj, protocol) dumps(obj, protocol) dumps(obj, protocol) dumps(obj, protocol) dumps(obj, protocol) dumps(obj, protocol) dumps(obj, protocol) dumps(obj, protocol) dumps(obj, protocol) dumps(obj, protocol) dumps(obj, protocol) dumps(obj, protocol) dumps(obj, protocol) dumps(obj, protocol) dumps(obj, protocol) dumps(obj, protocol) dumps(obj, protocol) return pyperf.perf_counter() - t0 def bench_unpickle(loops, pickle, options): pickled_dict = pickle.dumps(DICT, options.protocol) pickled_tuple = pickle.dumps(TUPLE, options.protocol) pickled_dict_group = pickle.dumps(DICT_GROUP, options.protocol) range_it = range(loops) # micro-optimization: use fast local variables loads = pickle.loads objs = (pickled_dict, pickled_tuple, pickled_dict_group) t0 = pyperf.perf_counter() for _ in range_it: for obj in objs: # 20 loads dict loads(obj) loads(obj) loads(obj) loads(obj) loads(obj) loads(obj) loads(obj) loads(obj) loads(obj) loads(obj) loads(obj) loads(obj) loads(obj) loads(obj) loads(obj) loads(obj) loads(obj) loads(obj) loads(obj) loads(obj) return pyperf.perf_counter() - t0 LIST = [[list(range(10)), list(range(10))] for _ in range(10)] def bench_pickle_list(loops, pickle, options): range_it = range(loops) # micro-optimization: use fast local variables dumps = pickle.dumps obj = LIST protocol = options.protocol t0 = pyperf.perf_counter() for _ in range_it: # 10 dumps list dumps(obj, protocol) dumps(obj, protocol) dumps(obj, protocol) dumps(obj, protocol) dumps(obj, protocol) dumps(obj, protocol) dumps(obj, protocol) dumps(obj, protocol) dumps(obj, protocol) dumps(obj, protocol) return pyperf.perf_counter() - t0 def bench_unpickle_list(loops, pickle, options): pickled_list = pickle.dumps(LIST, options.protocol) range_it = range(loops) # micro-optimization: use fast local variables loads = pickle.loads t0 = pyperf.perf_counter() for _ in range_it: # 10 loads list loads(pickled_list) loads(pickled_list) loads(pickled_list) loads(pickled_list) loads(pickled_list) loads(pickled_list) loads(pickled_list) loads(pickled_list) loads(pickled_list) loads(pickled_list) return pyperf.perf_counter() - t0 MICRO_DICT = dict((key, dict.fromkeys(range(10))) for key in range(100)) def bench_pickle_dict(loops, pickle, options): range_it = range(loops) # micro-optimization: use fast local variables protocol = options.protocol obj = MICRO_DICT t0 = pyperf.perf_counter() for _ in range_it: # 5 dumps dict pickle.dumps(obj, protocol) pickle.dumps(obj, protocol) pickle.dumps(obj, protocol) pickle.dumps(obj, protocol) pickle.dumps(obj, protocol) return pyperf.perf_counter() - t0 BENCHMARKS = { # 20 inner-loops: don't count the 3 pickled objects 'pickle': (bench_pickle, 20), # 20 inner-loops: don't count the 3 unpickled objects 'unpickle': (bench_unpickle, 20), 'pickle_list': (bench_pickle_list, 10), 'unpickle_list': (bench_unpickle_list, 10), 'pickle_dict': (bench_pickle_dict, 5), } def is_accelerated_module(module): return getattr(pickle.Pickler, '__module__', '') != 'pickle' def add_cmdline_args(cmd, args): if args.pure_python: cmd.append("--pure-python") cmd.extend(("--protocol", str(args.protocol))) cmd.append(args.benchmark) if __name__ == "__main__": runner = pyperf.Runner(add_cmdline_args=add_cmdline_args) runner.metadata['description'] = "Test the performance of pickling." parser = runner.argparser parser.add_argument("--pure-python", action="store_true", help="Use the C version of pickle.") parser.add_argument("--protocol", action="store", default=None, type=int, help="Which protocol to use (default: highest protocol).") benchmarks = sorted(BENCHMARKS) parser.add_argument("benchmark", choices=benchmarks) options = runner.parse_args() benchmark, inner_loops = BENCHMARKS[options.benchmark] name = options.benchmark if options.pure_python: name += "_pure_python" if not (options.pure_python or IS_PYPY): # C accelerators are enabled by default on 3.x import pickle if not is_accelerated_module(pickle): raise RuntimeError("Missing C accelerators for pickle") else: sys.modules['_pickle'] = None import pickle if is_accelerated_module(pickle): raise RuntimeError("Unexpected C accelerators for pickle") if options.protocol is None: options.protocol = pickle.HIGHEST_PROTOCOL runner.metadata['pickle_protocol'] = str(options.protocol) runner.metadata['pickle_module'] = pickle.__name__ runner.bench_time_func(name, benchmark, pickle, options, inner_loops=inner_loops) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_pidigits/000077500000000000000000000000001514162565100257475ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_pidigits/pyproject.toml000066400000000000000000000003551514162565100306660ustar00rootroot00000000000000[project] name = "pyperformance_bm_pidigits" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "pidigits" tags = "math" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_pidigits/run_benchmark.py000066400000000000000000000030061514162565100311360ustar00rootroot00000000000000# coding: utf-8 """ Calculating some of the digits of Ï€. This benchmark stresses big integer arithmetic. Adapted from code on: http://benchmarksgame.alioth.debian.org/ """ import itertools import pyperf DEFAULT_DIGITS = 2000 icount = itertools.count islice = itertools.islice def gen_x(): return map(lambda k: (k, 4 * k + 2, 0, 2 * k + 1), icount(1)) def compose(a, b): aq, ar, as_, at = a bq, br, bs, bt = b return (aq * bq, aq * br + ar * bt, as_ * bq + at * bs, as_ * br + at * bt) def extract(z, j): q, r, s, t = z return (q * j + r) // (s * j + t) def gen_pi_digits(): z = (1, 0, 0, 1) x = gen_x() while 1: y = extract(z, 3) while y != extract(z, 4): z = compose(z, next(x)) y = extract(z, 3) z = compose((10, -10 * y, 0, 1), z) yield y def calc_ndigits(n): return list(islice(gen_pi_digits(), n)) def add_cmdline_args(cmd, args): cmd.extend(("--digits", str(args.digits))) if __name__ == "__main__": runner = pyperf.Runner(add_cmdline_args=add_cmdline_args) cmd = runner.argparser cmd.add_argument("--digits", type=int, default=DEFAULT_DIGITS, help="Number of computed pi digits (default: %s)" % DEFAULT_DIGITS) args = runner.parse_args() runner.metadata['description'] = "Compute digits of pi." runner.metadata['pidigits_ndigit'] = args.digits runner.bench_func('pidigits', calc_ndigits, args.digits) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_pprint/000077500000000000000000000000001514162565100254475ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_pprint/pyproject.toml000066400000000000000000000003331514162565100303620ustar00rootroot00000000000000[project] name = "pyperformance_bm_pprint" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "pprint" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_pprint/run_benchmark.py000066400000000000000000000012071514162565100306370ustar00rootroot00000000000000"""Test the performance of pprint.PrettyPrinter. This benchmark was available as `python -m pprint` until Python 3.12. Authors: Fred Drake (original), Oleg Iarygin (pyperformance port). """ import pyperf from pprint import PrettyPrinter printable = [('string', (1, 2), [3, 4], {5: 6, 7: 8})] * 100_000 p = PrettyPrinter() if __name__ == '__main__': runner = pyperf.Runner() runner.metadata['description'] = 'pprint benchmark' if hasattr(p, '_safe_repr'): runner.bench_func('pprint_safe_repr', p._safe_repr, printable, {}, None, 0) runner.bench_func('pprint_pformat', p.pformat, printable) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_pyflate/000077500000000000000000000000001514162565100255775ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_pyflate/data/000077500000000000000000000000001514162565100265105ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_pyflate/data/interpreter.tar.bz2000066400000000000000000002037521514162565100322700ustar00rootroot00000000000000BZh91AY&SYÆÂ,ªïÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿ @ !JarÞîÃqôóîí 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BSD, GNU GPLv2). Stand-alone pure-Python DEFLATE (gzip) and bzip2 decoder/decompressor. This is probably most useful for research purposes/index building; there is certainly some room for improvement in the Huffman bit-matcher. With the as-written implementation, there was a known bug in BWT decoding to do with repeated strings. This has been worked around; see 'bwt_reverse()'. Correct output is produced in all test cases but ideally the problem would be found... """ import hashlib import os import struct import pyperf int2byte = struct.Struct(">B").pack class BitfieldBase(object): def __init__(self, x): if isinstance(x, BitfieldBase): self.f = x.f self.bits = x.bits self.bitfield = x.bitfield self.count = x.bitfield else: self.f = x self.bits = 0 self.bitfield = 0x0 self.count = 0 def _read(self, n): s = self.f.read(n) if not s: raise "Length Error" self.count += len(s) return s def needbits(self, n): while self.bits < n: self._more() def _mask(self, n): return (1 << n) - 1 def toskip(self): return self.bits & 0x7 def align(self): self.readbits(self.toskip()) def dropbits(self, n=8): while n >= self.bits and n > 7: n -= self.bits self.bits = 0 n -= len(self.f._read(n >> 3)) << 3 if n: self.readbits(n) # No return value def dropbytes(self, n=1): self.dropbits(n << 3) def tell(self): return self.count - ((self.bits + 7) >> 3), 7 - ((self.bits - 1) & 0x7) def tellbits(self): bytes, bits = self.tell() return (bytes << 3) + bits class Bitfield(BitfieldBase): def _more(self): c = self._read(1) self.bitfield += ord(c) << self.bits self.bits += 8 def snoopbits(self, n=8): if n > self.bits: self.needbits(n) return self.bitfield & self._mask(n) def readbits(self, n=8): if n > self.bits: self.needbits(n) r = self.bitfield & self._mask(n) self.bits -= n self.bitfield >>= n return r class RBitfield(BitfieldBase): def _more(self): c = self._read(1) self.bitfield <<= 8 self.bitfield += ord(c) self.bits += 8 def snoopbits(self, n=8): if n > self.bits: self.needbits(n) return (self.bitfield >> (self.bits - n)) & self._mask(n) def readbits(self, n=8): if n > self.bits: self.needbits(n) r = (self.bitfield >> (self.bits - n)) & self._mask(n) self.bits -= n self.bitfield &= ~(self._mask(n) << self.bits) return r def printbits(v, n): o = '' for i in range(n): if v & 1: o = '1' + o else: o = '0' + o v >>= 1 return o class HuffmanLength(object): def __init__(self, code, bits=0): self.code = code self.bits = bits self.symbol = None self.reverse_symbol = None def __repr__(self): return repr((self.code, self.bits, self.symbol, self.reverse_symbol)) @staticmethod def _sort_func(obj): return (obj.bits, obj.code) def reverse_bits(v, n): a = 1 << 0 b = 1 << (n - 1) z = 0 for i in range(n - 1, -1, -2): z |= (v >> i) & a z |= (v << i) & b a <<= 1 b >>= 1 return z def reverse_bytes(v, n): a = 0xff << 0 b = 0xff << (n - 8) z = 0 for i in range(n - 8, -8, -16): z |= (v >> i) & a z |= (v << i) & b a <<= 8 b >>= 8 return z class HuffmanTable(object): def __init__(self, bootstrap): l = [] start, bits = bootstrap[0] for finish, endbits in bootstrap[1:]: if bits: for code in range(start, finish): l.append(HuffmanLength(code, bits)) start, bits = finish, endbits if endbits == -1: break l.sort(key=HuffmanLength._sort_func) self.table = l def populate_huffman_symbols(self): bits, symbol = -1, -1 for x in self.table: symbol += 1 if x.bits != bits: symbol <<= (x.bits - bits) bits = x.bits x.symbol = symbol x.reverse_symbol = reverse_bits(symbol, bits) def tables_by_bits(self): d = {} for x in self.table: try: d[x.bits].append(x) except: # noqa d[x.bits] = [x] def min_max_bits(self): self.min_bits, self.max_bits = 16, -1 for x in self.table: if x.bits < self.min_bits: self.min_bits = x.bits if x.bits > self.max_bits: self.max_bits = x.bits def _find_symbol(self, bits, symbol, table): for h in table: if h.bits == bits and h.reverse_symbol == symbol: return h.code return -1 def find_next_symbol(self, field, reversed=True): cached_length = -1 cached = None for x in self.table: if cached_length != x.bits: cached = field.snoopbits(x.bits) cached_length = x.bits if (reversed and x.reverse_symbol == cached) or (not reversed and x.symbol == cached): field.readbits(x.bits) return x.code raise Exception("unfound symbol, even after end of table @%r" % field.tell()) for bits in range(self.min_bits, self.max_bits + 1): r = self._find_symbol(bits, field.snoopbits(bits), self.table) if 0 <= r: field.readbits(bits) return r elif bits == self.max_bits: raise "unfound symbol, even after max_bits" class OrderedHuffmanTable(HuffmanTable): def __init__(self, lengths): l = len(lengths) z = list(zip(range(l), lengths)) + [(l, -1)] HuffmanTable.__init__(self, z) def code_length_orders(i): return (16, 17, 18, 0, 8, 7, 9, 6, 10, 5, 11, 4, 12, 3, 13, 2, 14, 1, 15)[i] def distance_base(i): return (1, 2, 3, 4, 5, 7, 9, 13, 17, 25, 33, 49, 65, 97, 129, 193, 257, 385, 513, 769, 1025, 1537, 2049, 3073, 4097, 6145, 8193, 12289, 16385, 24577)[i] def length_base(i): return (3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 15, 17, 19, 23, 27, 31, 35, 43, 51, 59, 67, 83, 99, 115, 131, 163, 195, 227, 258)[i - 257] def extra_distance_bits(n): if 0 <= n <= 1: return 0 elif 2 <= n <= 29: return (n >> 1) - 1 else: raise "illegal distance code" def extra_length_bits(n): if 257 <= n <= 260 or n == 285: return 0 elif 261 <= n <= 284: return ((n - 257) >> 2) - 1 else: raise "illegal length code" def move_to_front(l, c): l[:] = l[c:c + 1] + l[0:c] + l[c + 1:] def bwt_transform(L): # Semi-inefficient way to get the character counts F = bytes(sorted(L)) base = [] for i in range(256): base.append(F.find(int2byte(i))) pointers = [-1] * len(L) for i, symbol in enumerate(L): pointers[base[symbol]] = i base[symbol] += 1 return pointers def bwt_reverse(L, end): out = [] if len(L): T = bwt_transform(L) # STRAGENESS WARNING: There was a bug somewhere here in that # if the output of the BWT resolves to a perfect copy of N # identical strings (think exact multiples of 255 'X' here), # then a loop is formed. When decoded, the output string would # be cut off after the first loop, typically '\0\0\0\0\xfb'. # The previous loop construct was: # # next = T[end] # while next != end: # out += L[next] # next = T[next] # out += L[next] # # For the moment, I've instead replaced it with a check to see # if there has been enough output generated. I didn't figured # out where the off-by-one-ism is yet---that actually produced # the cyclic loop. for i in range(len(L)): end = T[end] out.append(L[end]) return bytes(out) def compute_used(b): huffman_used_map = b.readbits(16) map_mask = 1 << 15 used = [] while map_mask > 0: if huffman_used_map & map_mask: huffman_used_bitmap = b.readbits(16) bit_mask = 1 << 15 while bit_mask > 0: if huffman_used_bitmap & bit_mask: pass used += [bool(huffman_used_bitmap & bit_mask)] bit_mask >>= 1 else: used += [False] * 16 map_mask >>= 1 return used def compute_selectors_list(b, huffman_groups): selectors_used = b.readbits(15) mtf = list(range(huffman_groups)) selectors_list = [] for i in range(selectors_used): # zero-terminated bit runs (0..62) of MTF'ed huffman table c = 0 while b.readbits(1): c += 1 if c >= huffman_groups: raise "Bzip2 chosen selector greater than number of groups (max 6)" if c >= 0: move_to_front(mtf, c) selectors_list.append(mtf[0]) return selectors_list def compute_tables(b, huffman_groups, symbols_in_use): groups_lengths = [] for j in range(huffman_groups): length = b.readbits(5) lengths = [] for i in range(symbols_in_use): if not 0 <= length <= 20: raise "Bzip2 Huffman length code outside range 0..20" while b.readbits(1): length -= (b.readbits(1) * 2) - 1 lengths += [length] groups_lengths += [lengths] tables = [] for g in groups_lengths: codes = OrderedHuffmanTable(g) codes.populate_huffman_symbols() codes.min_max_bits() tables.append(codes) return tables def decode_huffman_block(b, out): randomised = b.readbits(1) if randomised: raise "Bzip2 randomised support not implemented" pointer = b.readbits(24) used = compute_used(b) huffman_groups = b.readbits(3) if not 2 <= huffman_groups <= 6: raise Exception("Bzip2: Number of Huffman groups not in range 2..6") selectors_list = compute_selectors_list(b, huffman_groups) symbols_in_use = sum(used) + 2 # remember RUN[AB] RLE symbols tables = compute_tables(b, huffman_groups, symbols_in_use) favourites = [int2byte(i) for i, x in enumerate(used) if x] selector_pointer = 0 decoded = 0 # Main Huffman loop repeat = repeat_power = 0 buffer = [] t = None while True: decoded -= 1 if decoded <= 0: decoded = 50 # Huffman table re-evaluate/switch length if selector_pointer <= len(selectors_list): t = tables[selectors_list[selector_pointer]] selector_pointer += 1 r = t.find_next_symbol(b, False) if 0 <= r <= 1: if repeat == 0: repeat_power = 1 repeat += repeat_power << r repeat_power <<= 1 continue elif repeat > 0: # Remember kids: If there is only one repeated # real symbol, it is encoded with *zero* Huffman # bits and not output... so buffer[-1] doesn't work. buffer.append(favourites[0] * repeat) repeat = 0 if r == symbols_in_use - 1: break else: o = favourites[r - 1] move_to_front(favourites, r - 1) buffer.append(o) pass nt = nearly_there = bwt_reverse(b"".join(buffer), pointer) i = 0 # Pointless/irritating run-length encoding step while i < len(nearly_there): if i < len(nearly_there) - 4 and nt[i] == nt[i + 1] == nt[i + 2] == nt[i + 3]: out.append(nearly_there[i:i + 1] * (ord(nearly_there[i + 4:i + 5]) + 4)) i += 5 else: out.append(nearly_there[i:i + 1]) i += 1 # Sixteen bits of magic have been removed by the time we start decoding def bzip2_main(input): b = RBitfield(input) method = b.readbits(8) if method != ord('h'): raise Exception( "Unknown (not type 'h'uffman Bzip2) compression method") blocksize = b.readbits(8) if ord('1') <= blocksize <= ord('9'): blocksize = blocksize - ord('0') else: raise Exception("Unknown (not size '0'-'9') Bzip2 blocksize") out = [] while True: blocktype = b.readbits(48) b.readbits(32) # crc if blocktype == 0x314159265359: # (pi) decode_huffman_block(b, out) elif blocktype == 0x177245385090: # sqrt(pi) b.align() break else: raise Exception("Illegal Bzip2 blocktype") return b''.join(out) # Sixteen bits of magic have been removed by the time we start decoding def gzip_main(field): b = Bitfield(field) method = b.readbits(8) if method != 8: raise Exception("Unknown (not type eight DEFLATE) compression method") # Use flags, drop modification time, extra flags and OS creator type. flags = b.readbits(8) b.readbits(32) # mtime b.readbits(8) # extra_flags b.readbits(8) # os_type if flags & 0x04: # structured GZ_FEXTRA miscellaneous data xlen = b.readbits(16) b.dropbytes(xlen) while flags & 0x08: # original GZ_FNAME filename if not b.readbits(8): break while flags & 0x10: # human readable GZ_FCOMMENT if not b.readbits(8): break if flags & 0x02: # header-only GZ_FHCRC checksum b.readbits(16) out = [] while True: lastbit = b.readbits(1) blocktype = b.readbits(2) if blocktype == 0: b.align() length = b.readbits(16) if length & b.readbits(16): raise Exception("stored block lengths do not match each other") for i in range(length): out.append(int2byte(b.readbits(8))) elif blocktype == 1 or blocktype == 2: # Huffman main_literals, main_distances = None, None if blocktype == 1: # Static Huffman static_huffman_bootstrap = [ (0, 8), (144, 9), (256, 7), (280, 8), (288, -1)] static_huffman_lengths_bootstrap = [(0, 5), (32, -1)] main_literals = HuffmanTable(static_huffman_bootstrap) main_distances = HuffmanTable(static_huffman_lengths_bootstrap) elif blocktype == 2: # Dynamic Huffman literals = b.readbits(5) + 257 distances = b.readbits(5) + 1 code_lengths_length = b.readbits(4) + 4 l = [0] * 19 for i in range(code_lengths_length): l[code_length_orders(i)] = b.readbits(3) dynamic_codes = OrderedHuffmanTable(l) dynamic_codes.populate_huffman_symbols() dynamic_codes.min_max_bits() # Decode the code_lengths for both tables at once, # then split the list later code_lengths = [] n = 0 while n < (literals + distances): r = dynamic_codes.find_next_symbol(b) if 0 <= r <= 15: # literal bitlength for this code count = 1 what = r elif r == 16: # repeat last code count = 3 + b.readbits(2) # Is this supposed to default to '0' if in the zeroth # position? what = code_lengths[-1] elif r == 17: # repeat zero count = 3 + b.readbits(3) what = 0 elif r == 18: # repeat zero lots count = 11 + b.readbits(7) what = 0 else: raise Exception( "next code length is outside of the range 0 <= r <= 18") code_lengths += [what] * count n += count main_literals = OrderedHuffmanTable(code_lengths[:literals]) main_distances = OrderedHuffmanTable(code_lengths[literals:]) # Common path for both Static and Dynamic Huffman decode now main_literals.populate_huffman_symbols() main_distances.populate_huffman_symbols() main_literals.min_max_bits() main_distances.min_max_bits() literal_count = 0 while True: r = main_literals.find_next_symbol(b) if 0 <= r <= 255: literal_count += 1 out.append(int2byte(r)) elif r == 256: if literal_count > 0: literal_count = 0 break elif 257 <= r <= 285: # dictionary lookup if literal_count > 0: literal_count = 0 length_extra = b.readbits(extra_length_bits(r)) length = length_base(r) + length_extra r1 = main_distances.find_next_symbol(b) if 0 <= r1 <= 29: distance = distance_base( r1) + b.readbits(extra_distance_bits(r1)) while length > distance: out += out[-distance:] length -= distance if length == distance: out += out[-distance:] else: out += out[-distance:length - distance] elif 30 <= r1 <= 31: raise Exception("illegal unused distance symbol " "in use @%r" % b.tell()) elif 286 <= r <= 287: raise Exception("illegal unused literal/length symbol " "in use @%r" % b.tell()) elif blocktype == 3: raise Exception("illegal unused blocktype in use @%r" % b.tell()) if lastbit: break b.align() b.readbits(32) # crc b.readbits(32) # final_length return "".join(out) def bench_pyflake(loops, filename): input_fp = open(filename, 'rb') range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: input_fp.seek(0) field = RBitfield(input_fp) magic = field.readbits(16) if magic == 0x1f8b: # GZip out = gzip_main(field) elif magic == 0x425a: # BZip2 out = bzip2_main(field) else: raise Exception("Unknown file magic %x, not a gzip/bzip2 file" % hex(magic)) dt = pyperf.perf_counter() - t0 input_fp.close() if hashlib.md5(out).hexdigest() != "afa004a630fe072901b1d9628b960974": raise Exception("MD5 checksum mismatch") return dt if __name__ == '__main__': runner = pyperf.Runner() runner.metadata['description'] = "Pyflate benchmark" filename = os.path.join(os.path.dirname(__file__), "data", "interpreter.tar.bz2") runner.bench_time_func('pyflate', bench_pyflake, filename) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_python_startup/000077500000000000000000000000001514162565100272365ustar00rootroot00000000000000bm_python_startup_no_site.toml000066400000000000000000000004471514162565100353620ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_python_startup[project] name = "pyperformance_bm_python_startup_no_site" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "python_startup_no_site" extra_opts = ["--no-site"] tags = "startup" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_python_startup/pyproject.toml000066400000000000000000000003741514162565100321560ustar00rootroot00000000000000[project] name = "pyperformance_bm_python_startup" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "python_startup" tags = "startup" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_python_startup/run_benchmark.py000066400000000000000000000016041514162565100324270ustar00rootroot00000000000000""" Benchmark Python startup. """ import sys import pyperf def add_cmdline_args(cmd, args): if args.no_site: cmd.append("--no-site") if args.exit: cmd.append("--exit") if __name__ == "__main__": runner = pyperf.Runner(values=10, add_cmdline_args=add_cmdline_args) runner.argparser.add_argument("--no-site", action="store_true") runner.argparser.add_argument("--exit", action="store_true") runner.metadata['description'] = "Performance of the Python startup" args = runner.parse_args() name = 'python_startup' if args.no_site: name += "_no_site" if args.exit: name += "_exit" command = [sys.executable] if args.no_site: command.append("-S") if args.exit: command.extend(("-c", "import os; os._exit(0)")) else: command.extend(("-c", "pass")) runner.bench_command(name, command) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_raytrace/000077500000000000000000000000001514162565100257455ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_raytrace/pyproject.toml000066400000000000000000000003371514162565100306640ustar00rootroot00000000000000[project] name = "pyperformance_bm_raytrace" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "raytrace" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_raytrace/run_benchmark.py000066400000000000000000000274121514162565100311430ustar00rootroot00000000000000""" This file contains definitions for a simple raytracer. Copyright Callum and Tony Garnock-Jones, 2008. This file may be freely redistributed under the MIT license, http://www.opensource.org/licenses/mit-license.php From http://www.lshift.net/blog/2008/10/29/toy-raytracer-in-python """ import array import math import pyperf DEFAULT_WIDTH = 100 DEFAULT_HEIGHT = 100 EPSILON = 0.00001 class Vector(object): def __init__(self, initx, inity, initz): self.x = initx self.y = inity self.z = initz def __str__(self): return '(%s,%s,%s)' % (self.x, self.y, self.z) def __repr__(self): return 'Vector(%s,%s,%s)' % (self.x, self.y, self.z) def magnitude(self): return math.sqrt(self.dot(self)) def __add__(self, other): if other.isPoint(): return Point(self.x + other.x, self.y + other.y, self.z + other.z) else: return Vector(self.x + other.x, self.y + other.y, self.z + other.z) def __sub__(self, other): other.mustBeVector() return Vector(self.x - other.x, self.y - other.y, self.z - other.z) def scale(self, factor): return Vector(factor * self.x, factor * self.y, factor * self.z) def dot(self, other): other.mustBeVector() return (self.x * other.x) + (self.y * other.y) + (self.z * other.z) def cross(self, other): other.mustBeVector() return Vector(self.y * other.z - self.z * other.y, self.z * other.x - self.x * other.z, self.x * other.y - self.y * other.x) def normalized(self): return self.scale(1.0 / self.magnitude()) def negated(self): return self.scale(-1) def __eq__(self, other): return (self.x == other.x) and (self.y == other.y) and (self.z == other.z) def isVector(self): return True def isPoint(self): return False def mustBeVector(self): return self def mustBePoint(self): raise 'Vectors are not points!' def reflectThrough(self, normal): d = normal.scale(self.dot(normal)) return self - d.scale(2) Vector.ZERO = Vector(0, 0, 0) Vector.RIGHT = Vector(1, 0, 0) Vector.UP = Vector(0, 1, 0) Vector.OUT = Vector(0, 0, 1) assert Vector.RIGHT.reflectThrough(Vector.UP) == Vector.RIGHT assert Vector(-1, -1, 0).reflectThrough(Vector.UP) == Vector(-1, 1, 0) class Point(object): def __init__(self, initx, inity, initz): self.x = initx self.y = inity self.z = initz def __str__(self): return '(%s,%s,%s)' % (self.x, self.y, self.z) def __repr__(self): return 'Point(%s,%s,%s)' % (self.x, self.y, self.z) def __add__(self, other): other.mustBeVector() return Point(self.x + other.x, self.y + other.y, self.z + other.z) def __sub__(self, other): if other.isPoint(): return Vector(self.x - other.x, self.y - other.y, self.z - other.z) else: return Point(self.x - other.x, self.y - other.y, self.z - other.z) def isVector(self): return False def isPoint(self): return True def mustBeVector(self): raise 'Points are not vectors!' def mustBePoint(self): return self class Sphere(object): def __init__(self, centre, radius): centre.mustBePoint() self.centre = centre self.radius = radius def __repr__(self): return 'Sphere(%s,%s)' % (repr(self.centre), self.radius) def intersectionTime(self, ray): cp = self.centre - ray.point v = cp.dot(ray.vector) discriminant = (self.radius * self.radius) - (cp.dot(cp) - v * v) if discriminant < 0: return None else: return v - math.sqrt(discriminant) def normalAt(self, p): return (p - self.centre).normalized() class Halfspace(object): def __init__(self, point, normal): self.point = point self.normal = normal.normalized() def __repr__(self): return 'Halfspace(%s,%s)' % (repr(self.point), repr(self.normal)) def intersectionTime(self, ray): v = ray.vector.dot(self.normal) if v: return 1 / -v else: return None def normalAt(self, p): return self.normal class Ray(object): def __init__(self, point, vector): self.point = point self.vector = vector.normalized() def __repr__(self): return 'Ray(%s,%s)' % (repr(self.point), repr(self.vector)) def pointAtTime(self, t): return self.point + self.vector.scale(t) Point.ZERO = Point(0, 0, 0) class Canvas(object): def __init__(self, width, height): self.bytes = array.array('B', [0] * (width * height * 3)) for i in range(width * height): self.bytes[i * 3 + 2] = 255 self.width = width self.height = height def plot(self, x, y, r, g, b): i = ((self.height - y - 1) * self.width + x) * 3 self.bytes[i] = max(0, min(255, int(r * 255))) self.bytes[i + 1] = max(0, min(255, int(g * 255))) self.bytes[i + 2] = max(0, min(255, int(b * 255))) def write_ppm(self, filename): header = 'P6 %d %d 255\n' % (self.width, self.height) with open(filename, "wb") as fp: fp.write(header.encode('ascii')) fp.write(self.bytes.tobytes()) def firstIntersection(intersections): result = None for i in intersections: candidateT = i[1] if candidateT is not None and candidateT > -EPSILON: if result is None or candidateT < result[1]: result = i return result class Scene(object): def __init__(self): self.objects = [] self.lightPoints = [] self.position = Point(0, 1.8, 10) self.lookingAt = Point.ZERO self.fieldOfView = 45 self.recursionDepth = 0 def moveTo(self, p): self.position = p def lookAt(self, p): self.lookingAt = p def addObject(self, object, surface): self.objects.append((object, surface)) def addLight(self, p): self.lightPoints.append(p) def render(self, canvas): fovRadians = math.pi * (self.fieldOfView / 2.0) / 180.0 halfWidth = math.tan(fovRadians) halfHeight = 0.75 * halfWidth width = halfWidth * 2 height = halfHeight * 2 pixelWidth = width / (canvas.width - 1) pixelHeight = height / (canvas.height - 1) eye = Ray(self.position, self.lookingAt - self.position) vpRight = eye.vector.cross(Vector.UP).normalized() vpUp = vpRight.cross(eye.vector).normalized() for y in range(canvas.height): for x in range(canvas.width): xcomp = vpRight.scale(x * pixelWidth - halfWidth) ycomp = vpUp.scale(y * pixelHeight - halfHeight) ray = Ray(eye.point, eye.vector + xcomp + ycomp) colour = self.rayColour(ray) canvas.plot(x, y, *colour) def rayColour(self, ray): if self.recursionDepth > 3: return (0, 0, 0) try: self.recursionDepth = self.recursionDepth + 1 intersections = [(o, o.intersectionTime(ray), s) for (o, s) in self.objects] i = firstIntersection(intersections) if i is None: return (0, 0, 0) # the background colour else: (o, t, s) = i p = ray.pointAtTime(t) return s.colourAt(self, ray, p, o.normalAt(p)) finally: self.recursionDepth = self.recursionDepth - 1 def _lightIsVisible(self, l, p): for (o, s) in self.objects: t = o.intersectionTime(Ray(p, l - p)) if t is not None and t > EPSILON: return False return True def visibleLights(self, p): result = [] for l in self.lightPoints: if self._lightIsVisible(l, p): result.append(l) return result def addColours(a, scale, b): return (a[0] + scale * b[0], a[1] + scale * b[1], a[2] + scale * b[2]) class SimpleSurface(object): def __init__(self, **kwargs): self.baseColour = kwargs.get('baseColour', (1, 1, 1)) self.specularCoefficient = kwargs.get('specularCoefficient', 0.2) self.lambertCoefficient = kwargs.get('lambertCoefficient', 0.6) self.ambientCoefficient = 1.0 - self.specularCoefficient - self.lambertCoefficient def baseColourAt(self, p): return self.baseColour def colourAt(self, scene, ray, p, normal): b = self.baseColourAt(p) c = (0, 0, 0) if self.specularCoefficient > 0: reflectedRay = Ray(p, ray.vector.reflectThrough(normal)) reflectedColour = scene.rayColour(reflectedRay) c = addColours(c, self.specularCoefficient, reflectedColour) if self.lambertCoefficient > 0: lambertAmount = 0 for lightPoint in scene.visibleLights(p): contribution = (lightPoint - p).normalized().dot(normal) if contribution > 0: lambertAmount = lambertAmount + contribution lambertAmount = min(1, lambertAmount) c = addColours(c, self.lambertCoefficient * lambertAmount, b) if self.ambientCoefficient > 0: c = addColours(c, self.ambientCoefficient, b) return c class CheckerboardSurface(SimpleSurface): def __init__(self, **kwargs): SimpleSurface.__init__(self, **kwargs) self.otherColour = kwargs.get('otherColour', (0, 0, 0)) self.checkSize = kwargs.get('checkSize', 1) def baseColourAt(self, p): v = p - Point.ZERO v.scale(1.0 / self.checkSize) if ((int(abs(v.x) + 0.5) + int(abs(v.y) + 0.5) + int(abs(v.z) + 0.5)) % 2): return self.otherColour else: return self.baseColour def bench_raytrace(loops, width, height, filename): range_it = range(loops) t0 = pyperf.perf_counter() for i in range_it: canvas = Canvas(width, height) s = Scene() s.addLight(Point(30, 30, 10)) s.addLight(Point(-10, 100, 30)) s.lookAt(Point(0, 3, 0)) s.addObject(Sphere(Point(1, 3, -10), 2), SimpleSurface(baseColour=(1, 1, 0))) for y in range(6): s.addObject(Sphere(Point(-3 - y * 0.4, 2.3, -5), 0.4), SimpleSurface(baseColour=(y / 6.0, 1 - y / 6.0, 0.5))) s.addObject(Halfspace(Point(0, 0, 0), Vector.UP), CheckerboardSurface()) s.render(canvas) dt = pyperf.perf_counter() - t0 if filename: canvas.write_ppm(filename) return dt def add_cmdline_args(cmd, args): cmd.append("--width=%s" % args.width) cmd.append("--height=%s" % args.height) if args.filename: cmd.extend(("--filename", args.filename)) if __name__ == "__main__": runner = pyperf.Runner(add_cmdline_args=add_cmdline_args) cmd = runner.argparser cmd.add_argument("--width", type=int, default=DEFAULT_WIDTH, help="Image width (default: %s)" % DEFAULT_WIDTH) cmd.add_argument("--height", type=int, default=DEFAULT_HEIGHT, help="Image height (default: %s)" % DEFAULT_HEIGHT) cmd.add_argument("--filename", metavar="FILENAME.PPM", help="Output filename of the PPM picture") args = runner.parse_args() runner.metadata['description'] = "Simple raytracer" runner.metadata['raytrace_width'] = args.width runner.metadata['raytrace_height'] = args.height runner.bench_time_func('raytrace', bench_raytrace, args.width, args.height, args.filename) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_regex_compile/000077500000000000000000000000001514162565100267555ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_regex_compile/bm_regex_effbot.py000066400000000000000000000123151514162565100324460ustar00rootroot00000000000000 """Benchmarks for Python's regex engine. These are some of the original benchmarks used to tune Python's regex engine in 2000 written by Fredrik Lundh. Retreived from http://mail.python.org/pipermail/python-dev/2000-August/007797.html and integrated into Unladen Swallow's pyperf.py in 2009 by David Laing. These benchmarks are of interest since they helped to guide the original optimization of the sre engine, and we shouldn't necessarily ignore them just because they're "old". """ # Python imports import re # Local imports import pyperf USE_BYTES = False def re_compile(s): if USE_BYTES: return re.compile(s.encode('latin1')) else: return re.compile(s) # These are the regular expressions to be tested. These sync up, # index-for-index with the list of strings generated by gen_string_table() # below. def gen_regex_table(): return [ re_compile('Python|Perl'), re_compile('Python|Perl'), re_compile('(Python|Perl)'), re_compile('(?:Python|Perl)'), re_compile('Python'), re_compile('Python'), re_compile('.*Python'), re_compile('.*Python.*'), re_compile('.*(Python)'), re_compile('.*(?:Python)'), re_compile('Python|Perl|Tcl'), re_compile('Python|Perl|Tcl'), re_compile('(Python|Perl|Tcl)'), re_compile('(?:Python|Perl|Tcl)'), re_compile('(Python)\\1'), re_compile('(Python)\\1'), re_compile('([0a-z][a-z0-9]*,)+'), re_compile('(?:[0a-z][a-z0-9]*,)+'), re_compile('([a-z][a-z0-9]*,)+'), re_compile('(?:[a-z][a-z0-9]*,)+'), re_compile('.*P.*y.*t.*h.*o.*n.*')] def gen_string_table(n): """Generates the list of strings that will be used in the benchmarks. All strings have repeated prefixes and suffices, and n specifies the number of repetitions. """ strings = [] def append(s): if USE_BYTES: strings.append(s.encode('latin1')) else: strings.append(s) append('-' * n + 'Perl' + '-' * n) append('P' * n + 'Perl' + 'P' * n) append('-' * n + 'Perl' + '-' * n) append('-' * n + 'Perl' + '-' * n) append('-' * n + 'Python' + '-' * n) append('P' * n + 'Python' + 'P' * n) append('-' * n + 'Python' + '-' * n) append('-' * n + 'Python' + '-' * n) append('-' * n + 'Python' + '-' * n) append('-' * n + 'Python' + '-' * n) append('-' * n + 'Perl' + '-' * n) append('P' * n + 'Perl' + 'P' * n) append('-' * n + 'Perl' + '-' * n) append('-' * n + 'Perl' + '-' * n) append('-' * n + 'PythonPython' + '-' * n) append('P' * n + 'PythonPython' + 'P' * n) append('-' * n + 'a5,b7,c9,' + '-' * n) append('-' * n + 'a5,b7,c9,' + '-' * n) append('-' * n + 'a5,b7,c9,' + '-' * n) append('-' * n + 'a5,b7,c9,' + '-' * n) append('-' * n + 'Python' + '-' * n) return strings def init_benchmarks(n_values=None): """Initialize the strings we'll run the regexes against. The strings used in the benchmark are prefixed and suffixed by strings that are repeated n times. The sequence n_values contains the values for n. If n_values is None the values of n from the original benchmark are used. The generated list of strings is cached in the string_tables variable, which is indexed by n. Returns: A list of string prefix/suffix lengths. """ if n_values is None: n_values = (0, 5, 50, 250, 1000, 5000, 10000) string_tables = {n: gen_string_table(n) for n in n_values} regexs = gen_regex_table() data = [] for n in n_values: for id in range(len(regexs)): regex = regexs[id] string = string_tables[n][id] data.append((regex, string)) return data def bench_regex_effbot(loops): if bench_regex_effbot.data is None: bench_regex_effbot.data = init_benchmarks() data = bench_regex_effbot.data range_it = range(loops) search = re.search t0 = pyperf.perf_counter() for _ in range_it: # Runs all of the benchmarks for a given value of n. for regex, string in data: # search 10 times search(regex, string) search(regex, string) search(regex, string) search(regex, string) search(regex, string) search(regex, string) search(regex, string) search(regex, string) search(regex, string) search(regex, string) return pyperf.perf_counter() - t0 # cached data, generated at the first call bench_regex_effbot.data = None def add_cmdline_args(cmd, args): if args.force_bytes: cmd.append("--force_bytes") if __name__ == '__main__': runner = pyperf.Runner(add_cmdline_args=add_cmdline_args) runner.metadata['description'] = ("Test the performance of regexps " "using Fredik Lundh's benchmarks.") runner.argparser.add_argument("-B", "--force_bytes", action="store_true", help="test bytes regexps") options = runner.parse_args() if options.force_bytes: USE_BYTES = True runner.bench_time_func('regex_effbot', bench_regex_effbot, inner_loops=10) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_regex_compile/bm_regex_v8.py000066400000000000000000003660321514162565100315460ustar00rootroot00000000000000# Copyright 2009 the V8 project authors. All rights reserved. # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are # met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above # copyright notice, this list of conditions and the following # disclaimer in the documentation and/or other materials provided # with the distribution. # * Neither the name of Google Inc. nor the names of its # contributors may be used to endorse or promote products derived # from this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR # A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT # OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, # SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT # LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, # DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY # THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. # Automatically generated on 2009-01-30. # This benchmark is generated by loading 50 of the most popular pages # on the web and logging all regexp operations performed. Each # operation is given a weight that is calculated from an estimate of # the popularity of the pages where it occurs and the number of times # it is executed while loading each page. Finally the literal # letters in the data are encoded using ROT13 in a way that does not # affect how the regexps match their input. # Ported to Python for Unladen Swallow. The original JS version can be found at # https://github.com/v8/v8/blob/master/benchmarks/regexp.js, r1243. # Python imports import re # Third party imports import pyperf # The precompiled regexs that were in vars in the V8 code, split into # tuples of (regex, flags). compiled_regex_strings = [ (r'^ba', ''), (r'(((\w+):\/\/)([^\/:]*)(:(\d+))?)?([^#?]*)(\?([^#]*))?(#(.*))?', ''), (r'^\s*|\s*$', 'g'), (r'\bQBZPbageby_cynprubyqre\b', ''), (r',', ''), (r'\bQBZPbageby_cynprubyqre\b', 'g'), (r'^[\s\xa0]+|[\s\xa0]+$', 'g'), (r'(\d*)(\D*)', 'g'), (r'=', ''), (r'(^|\s)lhv\-h(\s|$)', ''), (r'\#', 'g'), (r'\.', 'g'), (r'\'', 'g'), (r'\?[\w\W]*(sevraqvq|punaaryvq|tebhcvq)=([^\&\?#]*)', 'i'), (r'\s+', 'g'), (r'^\s*(\S*(\s+\S+)*)\s*$', ''), (r'(-[a-z])', 'i'), (r'(^|[^\\])\"\\\/Qngr\((-?[0-9]+)\)\\\/\"', 'g'), (r'^\s+|\s+$', 'g'), (r'(?:^|\s+)ba(?:\s+|$)', ''), (r'[+, ]', ''), (r'ybnqrq|pbzcyrgr', ''), (r'\bso_zrah\b', ''), (r'^(?:(?:[^:\/?#]+):)?(?:\/\/(?:[^\/?#]*))?([^?#]*)(?:\?([^#]*))?(?:#(.*))?', ''), (r'uggcf?:\/\/([^\/]+\.)?snprobbx\.pbz\/', ''), (r'"', 'g'), (r'^([^?#]+)(?:\?([^#]*))?(#.*)?', ''), (r'-\D', 'g'), (r'\bnpgvingr\b', ''), (r'%2R', 'gi'), (r'%2S', 'gi'), (r'^(mu-(PA|GJ)|wn|xb)$', ''), (r'\s?;\s?', ''), (r'%\w?$', ''), (r'TNQP=([^;]*)', 'i'), (r'[<>]', 'g'), (r'uers|fep|fryrpgrq', ''), (r'\s*([+>~\s])\s*([a-zA-Z#.*:\[])', 'g'), (r'^(\w+|\*)$', ''), (r'\\\\', 'g'), (r' ', 'g'), (r'\/\xc4\/t', ''), (r'\/\xd6\/t', ''), (r'\/\xdc\/t', ''), (r'\/\xdf\/t', ''), (r'\/\xe4\/t', ''), (r'\/\xf6\/t', ''), (r'\/\xfc\/t', ''), (r'\W', 'g'), (r'uers|fep|fglyr', ''), (r'(?:^|\s+)fryrpgrq(?:\s+|$)', ''), (r'\&', 'g'), (r'\+', 'g'), (r'\?', 'g'), (r'\t', 'g'), (r'(\$\{nqiHey\})|(\$nqiHey\b)', 'g'), (r'(\$\{cngu\})|(\$cngu\b)', 'g'), (r'##yv4##', 'gi'), (r'##yv16##', 'gi'), (r'##yv19##', 'gi'), (r'(?:^|\s+)bss(?:\s+|$)', ''), (r'^(([^:\/?#]+):)?(\/\/([^\/?#]*))?([^?#]*)(\?([^#]*))?(#(.*))?$', ''), (r'^[^<]*(<(.|\s)+>)[^>]*$|^#(\w+)$', ''), (r'\{0\}', 'g'), (r'\b[a-z]', 'g'), (r'^uggc:\/\/', ''), (r'(?:^|\s+)qvfnoyrq(?:\s+|$)', ''), (r'zrah_byq', 'g'), (r'^([#.]?)((?:[\w' + '\u0128-\uffff' + r'*_-]|\\.)*)', ''), (r'\{1\}', 'g'), (r'\s+', ''), (r'(\$\{4\})|(\$4\b)', 'g'), (r'(\$\{5\})|(\$5\b)', 'g'), (r'\{2\}', 'g'), (r'[^+>] [^+>]', ''), (r'\bucpyv\s*=\s*([^;]*)', 'i'), (r'\bucuvqr\s*=\s*([^;]*)', 'i'), (r'\bucfie\s*=\s*([^;]*)', 'i'), (r'\bhfucjrn\s*=\s*([^;]*)', 'i'), (r'\bmvc\s*=\s*([^;]*)', 'i'), (r'^((?:[\w' + '\u0128-\uffff' + r'*_-]|\\.)+)(#)((?:[\w' + '\u0128-\uffff' + r'*_-]|\\.)+)', ''), (r'^([>+~])\s*(\w*)', 'i'), (r'^>\s*((?:[\w' + '\u0128-\uffff' + r'*_-]|\\.)+)', ''), (r'^[\s[]?shapgvba', ''), (r'v\/g.tvs#(.*)', 'i'), (r'eaq_zbqobkva', ''), (r';\s*', ''), (r'(\$\{inyhr\})|(\$inyhr\b)', 'g'), (r'(\$\{abj\})|(\$abj\b)', 'g'), (r'\s+$', ''), (r'^\s+', ''), (r'(\\\"|\x00-|\x1f|\x7f-|\x9f|' + '\u00ad|\u0600-|\u0604|\u070f|\u17b4|\u17b5|\u200c-|\u200f|\u2028-|\u202f|\u2060-|\u206f|\ufeff|\ufff0-|\uffff' + r')', 'g'), (r'^(:)([\w-]+)\("?\'?(.*?(\(.*?\))?[^(]*?)"?\'?\)', ''), (r'^([:.#]*)((?:[\w' + '\u0128-\uffff' + r'*_-]|\\.)+)', ''), (r'^(\[) *@?([\w-]+) *([!*$^~=]*) *(\'?"?)(.*?)\4 *\]', '')] # The V8 javascript engine only does one replacement unless the regexp has # the 'g' flag. Python's sub has count = 1 to do 1 replacement and count = 0 # to replace all matches. We set this up here. regexs = [] subcount = [] for s in compiled_regex_strings: if 'g' in s[1]: subcount.append(0) else: subcount.append(1) if 'i' in s[1]: regexs.append(re.compile(s[0], re.IGNORECASE | re.UNICODE)) else: regexs.append(re.compile(s[0], re.UNICODE)) # The strings that were in vars in the V8 benchmark strings = [ r'Zbmvyyn/5.0 (Jvaqbjf; H; Jvaqbjf AG 5.1; ra-HF) NccyrJroXvg/528.9 (XUGZY, yvxr Trpxb) Puebzr/2.0.157.0 Fnsnev/528.9', r'Fubpxjnir Synfu 9.0 e115', 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__hgzm=144631658.1231365869.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar); __hgzn=144631658.1670816052019209000.1231365869.1231365869.1231365869.1; __hgzo=144631658.0.10.1231365869; __hgzp=144631658; ZFPhygher=VC=74.125.75.1&VCPhygher=ra-HF&CersreerqPhygher=ra-HF&Pbhagel=IIZ%3Q&SbeprqRkcvengvba=633669341278771470&gvzrMbar=-8&HFEYBP=DKWyLHAiMTH9AwHjWxAcqUx9GJ91oaEunJ4tIzyyqlMQo3IhqUW5D29xMG1IHlMQo3IhqUW5GzSgMG1Iozy0MJDtH3EuqTImWxEgLHAiMTH9BQN3WxkuqTy0qJEyCGZ3YwDkBGVzGT9hM2y0qJEyCF0kZwVhZQH3APMDo3A0LJkQo2EyCGx0ZQDmWyWyM2yiox5uoJH9D0R%3Q', r'FrffvbaQQS2=9995p6rp12rrnr893334ro7nq70o7p64p69rqn844prs1473; ZFPhygher=VC=74.125.75.1&VCPhygher=ra-HF&CersreerqPhygher=ra-HF&CersreerqPhygherCraqvat=&Pbhagel=IIZ=&SbeprqRkcvengvba=633669350559478880&gvzrMbar=0&HFEYBP=DKWyLHAiMTH9AwHjWxAcqUx9GJ91oaEunJ4tIzyyqlMQo3IhqUW5D29xMG1IHlMQo3IhqUW5GzSgMG1Iozy0MJDtH3EuqTImWxEgLHAiMTH9BQN3WxkuqTy0qJEyCGZ3YwDkBGVzGT9hM2y0qJEyCF0kZwVhZQH3APMDo3A0LJkQo2EyCGx0ZQDmWyWyM2yiox5uoJH9D0R=; AFP_zp_dfctwzs-aowb_80=441327q73660', r'FrffvbaQQS2=9995p6rp12rrnr893334ro7nq70o7p64p69rqn844prs1473; AFP_zp_dfctwzs-aowb_80=441327q73660; __hgzm=144631658.1231367054.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar); __hgzn=144631658.1796080716621419500.1231367054.1231367054.1231367054.1; __hgzo=144631658.0.10.1231367054; __hgzp=144631658; ZFPhygher=VC=74.125.75.1&VCPhygher=ra-HF&CersreerqPhygher=ra-HF&Pbhagel=IIZ%3Q&SbeprqRkcvengvba=633669350559478880&gvzrMbar=-8&HFEYBP=DKWyLHAiMTH9AwHjWxAcqUx9GJ91oaEunJ4tIzyyqlMQo3IhqUW5D29xMG1IHlMQo3IhqUW5GzSgMG1Iozy0MJDtH3EuqTImWxEgLHAiMTH9BQN3WxkuqTy0qJEyCGZ3YwDkBGVzGT9hM2y0qJEyCF0kZwVhZQH3APMDo3A0LJkQo2EyCGx0ZQDmWyWyM2yiox5uoJH9D0R%3Q', r'[glcr=fhozvg]', r'n.svryqOga,n.svryqOgaPnapry', r'n.svryqOgaPnapry', r'oyvpxchaxg', r'qvi.bow-nppbeqvba qg', r'uggc://tbbtyrnqf.t.qbhoyrpyvpx.arg/cntrnq/nqf?pyvrag=pn-svz_zlfcnpr_nccf_wf&qg=1231367052227&uy=ra&nqfnsr=uvtu&br=hgs8&ahz_nqf=4&bhgchg=wf&nqgrfg=bss&pbeeryngbe=1231367052227&punaary=svz_zlfcnpr_nccf-pnainf%2Psvz_zlfcnpr_havgrq-fgngrf&hey=uggc%3N%2S%2Scebsvyr.zlfcnpr.pbz%2SZbqhyrf%2SNccyvpngvbaf%2SCntrf%2SPnainf.nfck&nq_glcr=grkg&rvq=6083027&rn=0&sez=1&tn_ivq=716357910.1231367056&tn_fvq=1231367056&tn_uvq=1387206491&synfu=9.0.115&h_u=768&h_j=1024&h_nu=738&h_nj=1024&h_pq=24&h_gm=-480&h_uvf=2&h_wnin=gehr&h_acyht=7&h_azvzr=22', r'uggc://tbbtyrnqf.t.qbhoyrpyvpx.arg/cntrnq/nqf?pyvrag=pn-svz_zlfcnpr_zlfcnpr-ubzrcntr_wf&qg=1231365851658&uy=ra&nqfnsr=uvtu&br=hgs8&ahz_nqf=4&bhgchg=wf&nqgrfg=bss&pbeeryngbe=1231365851658&punaary=svz_zlfcnpr_ubzrcntr_abgybttrqva%2Psvz_zlfcnpr_aba_HTP%2Psvz_zlfcnpr_havgrq-fgngrf&hey=uggc%3N%2S%2Scebsvyrrqvg.zlfcnpr.pbz%2Svaqrk.psz&nq_glcr=grkg&rvq=6083027&rn=0&sez=0&tn_ivq=1979828129.1231365855&tn_fvq=1231365855&tn_uvq=2085229649&synfu=9.0.115&h_u=768&h_j=1024&h_nu=738&h_nj=1024&h_pq=24&h_gm=-480&h_uvf=2&h_wnin=gehr&h_acyht=7&h_azvzr=22', r'uggc://zfacbegny.112.2b7.arg/o/ff/zfacbegnyubzr/1/U.7-cqi-2/f55023338617756?[NDO]&aqu=1&g=7%2S0%2S2009%2014%3N12%3N47%203%20480&af=zfacbegny&cntrAnzr=HF%20UCZFSGJ&t=uggc%3N%2S%2Sjjj.zfa.pbz%2S&f=0k0&p=43835816&x=A&oj=994&ou=634&uc=A&{2}&[NDR]', r'zrgn[anzr=nwnkHey]', r'anpuevpugra', r'b oS={\'oT\':1.1};x $8n(B){z(B!=o9)};x $S(B){O(!$8n(B))z A;O(B.4L)z\'T\';b S=7t B;O(S==\'2P\'&&B.p4){23(B.7f){12 1:z\'T\';12 3:z/\S/.2g(B.8M)?\'ox\':\'oh\'}}O(S==\'2P\'||S==\'x\'){23(B.nE){12 2V:z\'1O\';12 7I:z\'5a\';12 18:z\'4B\'}O(7t B.I==\'4F\'){O(B.3u)z\'pG\';O(B.8e)z\'1p\'}}z S};x $2p(){b 4E={};Z(b v=0;v<1p.I;v++){Z(b X 1o 1p[v]){b nc=1p[v][X];b 6E=4E[X];O(6E&&$S(nc)==\'2P\'&&$S(6E)==\'2P\')4E[X]=$2p(6E,nc);17 4E[X]=nc}}z 4E};b $E=7p.E=x(){b 1d=1p;O(!1d[1])1d=[p,1d[0]];Z(b X 1o 1d[1])1d[0][X]=1d[1][X];z 1d[0]};b $4D=7p.pJ=x(){Z(b v=0,y=1p.I;v-1:p.3F(2R)>-1},nX:x(){z p.3y(/([.*+?^${}()|[\]\/\\])/t,\'\\$1\')}});2V.E({5V:x(1O){O(p.I<3)z A;O(p.I==4&&p[3]==0&&!1O)z\'p5\';b 3P=[];Z(b v=0;v<3;v++){b 52=(p[v]-0).4h(16);3P.1x((52.I==1)?\'0\'+52:52)}z 1O?3P:\'#\'+3P.2u(\'\')},5U:x(1O){O(p.I!=3)z A;b 1i=[];Z(b v=0;v<3;v++){1i.1x(5K((p[v].I==1)?p[v]+p[v]:p[v],16))}z 1O?1i:\'1i(\'+1i.2u(\',\')+\')\'}});7F.E({3n:x(P){b J=p;P=$2p({\'L\':J,\'V\':A,\'1p\':1S,\'2x\':A,\'4s\':A,\'6W\':A},P);O($2O(P.1p)&&$S(P.1p)!=\'1O\')P.1p=[P.1p];z x(V){b 1d;O(P.V){V=V||H.V;1d=[(P.V===1r)?V:Y P.V(V)];O(P.1p)1d.E(P.1p)}17 1d=P.1p||1p;b 3C=x(){z J.3H($5S(P', r'hagreunyghat', r'ZFPhygher=VC=74.125.75.1&VCPhygher=ra-HF&CersreerqPhygher=ra-HF&Pbhagel=IIZ%3Q&SbeprqRkcvengvba=633669341278771470&gvzrMbar=-8&HFEYBP=DKWyLHAiMTH9AwHjWxAcqUx9GJ91oaEunJ4tIzyyqlMQo3IhqUW5D29xMG1IHlMQo3IhqUW5GzSgMG1Iozy0MJDtH3EuqTImWxEgLHAiMTH9BQN3WxkuqTy0qJEyCGZ3YwDkBGVzGT9hM2y0qJEyCF0kZwVhZQH3APMDo3A0LJkQo2EyCGx0ZQDmWyWyM2yiox5uoJH9D0R%3Q', r'ZFPhygher=VC=74.125.75.1&VCPhygher=ra-HF&CersreerqPhygher=ra-HF&Pbhagel=IIZ%3Q&SbeprqRkcvengvba=633669350559478880&gvzrMbar=-8&HFEYBP=DKWyLHAiMTH9AwHjWxAcqUx9GJ91oaEunJ4tIzyyqlMQo3IhqUW5D29xMG1IHlMQo3IhqUW5GzSgMG1Iozy0MJDtH3EuqTImWxEgLHAiMTH9BQN3WxkuqTy0qJEyCGZ3YwDkBGVzGT9hM2y0qJEyCF0kZwVhZQH3APMDo3A0LJkQo2EyCGx0ZQDmWyWyM2yiox5uoJH9D0R%3Q', r'ZFPhygher=VC=74.125.75.1&VCPhygher=ra-HF&CersreerqPhygher=ra-HF&CersreerqPhygherCraqvat=&Pbhagel=IIZ=&SbeprqRkcvengvba=633669341278771470&gvzrMbar=0&HFEYBP=DKWyLHAiMTH9AwHjWxAcqUx9GJ91oaEunJ4tIzyyqlMQo3IhqUW5D29xMG1IHlMQo3IhqUW5GzSgMG1Iozy0MJDtH3EuqTImWxEgLHAiMTH9BQN3WxkuqTy0qJEyCGZ3YwDkBGVzGT9hM2y0qJEyCF0kZwVhZQH3APMDo3A0LJkQo2EyCGx0ZQDmWyWyM2yiox5uoJH9D0R=', r'ZFPhygher=VC=74.125.75.1&VCPhygher=ra-HF&CersreerqPhygher=ra-HF&CersreerqPhygherCraqvat=&Pbhagel=IIZ=&SbeprqRkcvengvba=633669350559478880&gvzrMbar=0&HFEYBP=DKWyLHAiMTH9AwHjWxAcqUx9GJ91oaEunJ4tIzyyqlMQo3IhqUW5D29xMG1IHlMQo3IhqUW5GzSgMG1Iozy0MJDtH3EuqTImWxEgLHAiMTH9BQN3WxkuqTy0qJEyCGZ3YwDkBGVzGT9hM2y0qJEyCF0kZwVhZQH3APMDo3A0LJkQo2EyCGx0ZQDmWyWyM2yiox5uoJH9D0R=', r'shapgvba (){Cuk.Nccyvpngvba.Frghc.Pber();Cuk.Nccyvpngvba.Frghc.Nwnk();Cuk.Nccyvpngvba.Frghc.Synfu();Cuk.Nccyvpngvba.Frghc.Zbqhyrf()}'] # The 12 benchmarking blocks def block0(): for i in range(6511): regexs[0].search(r'pyvpx') for i in range(1844): regexs[1].search(r'uggc://jjj.snprobbx.pbz/ybtva.cuc') for i in range(739): regexs[2].sub(r'', 'QBZPbageby_cynprubyqre', subcount[2]) for i in range(598): regexs[1].search(r'uggc://jjj.snprobbx.pbz/') for i in range(454): regexs[1].search(r'uggc://jjj.snprobbx.pbz/fepu.cuc') for i in range(352): re.search( r'qqqq|qqq|qq|q|ZZZZ|ZZZ|ZZ|Z|llll|ll|l|uu|u|UU|U|zz|z|ff|f|gg|g|sss|ss|s|mmm|mm|m', 'qqqq, ZZZ q, llll') for i in range(312): regexs[3].search(r'vachggrkg QBZPbageby_cynprubyqre') for i in range(282): regexs[4].search(r'/ZlFcnprUbzrcntr/Vaqrk-FvgrUbzr,10000000') for i in range(177): regexs[5].sub(r'', 'vachggrkg', subcount[5]) for i in range(170): regexs[6].sub(r'', '528.9', subcount[6]) regexs[7].search(r'528') for i in range(156): regexs[8].search(r'VCPhygher=ra-HF') regexs[8].search(r'CersreerqPhygher=ra-HF') for i in range(144): regexs[0].search(r'xrlcerff') for i in range(139): regexs[6].sub(r'', '521', subcount[6]) # This has a different output to the V8 version. # It could just be a difference in the engines. regexs[7].search(r'521') regexs[9].search(r'') re.search(r'JroXvg\/(\S+)', strings[0]) for i in range(137): regexs[10].sub(r'', 'qvi .so_zrah', subcount[10]) re.sub(r'\[', '', 'qvi .so_zrah', 0) regexs[11].sub(r'', 'qvi.so_zrah', subcount[11]) for i in range(117): regexs[2].sub(r'', 'uvqqra_ryrz', subcount[2]) for i in range(95): re.search(r'(?:^|;)\s*sevraqfgre_ynat=([^;]*)', 'sevraqfgre_naba=nvq%3Qn6ss9p85n868ro9s059pn854735956o3%26ers%3Q%26df%3Q%26vpgl%3QHF') for i in range(93): regexs[12].sub(r'', 'uggc://ubzr.zlfcnpr.pbz/vaqrk.psz', subcount[12]) regexs[13].search(r'uggc://ubzr.zlfcnpr.pbz/vaqrk.psz') for i in range(92): re.sub(r'([a-zA-Z]|\s)+', '', strings[1], 1) for i in range(85): regexs[14].sub(r'', 'svefg', subcount[14]) regexs[15].sub(r'', 'svefg', subcount[15]) regexs[12].sub( r'', 'uggc://cebsvyr.zlfcnpr.pbz/vaqrk.psz', subcount[12]) regexs[14].sub(r'', 'ynfg', subcount[14]) regexs[15].sub(r'', 'ynfg', subcount[15]) regexs[16].search(r'qvfcynl') regexs[13].search(r'uggc://cebsvyr.zlfcnpr.pbz/vaqrk.psz') def block1(): for i in range(81): regexs[8].search(r'VC=74.125.75.1') for i in range(78): re.sub(r'(\s)+e', '', '9.0 e115', 1) re.sub(r'.', '', 'k', 1) # This prints a unicode escape where the V8 version prints the # unicode character. regexs[17].sub(r'', strings[2], subcount[17]) # This prints a unicode escape where the V8 version prints the # unicode character. regexs[17].sub(r'', strings[3], subcount[17]) regexs[8].search(r'144631658') regexs[8].search(r'Pbhagel=IIZ%3Q') regexs[8].search(r'Pbhagel=IIZ=') regexs[8].search(r'CersreerqPhygherCraqvat=') regexs[8].search(strings[4]) regexs[8].search(strings[5]) regexs[8].search(r'__hgzp=144631658') regexs[8].search(r'gvzrMbar=-8') regexs[8].search(r'gvzrMbar=0') re.search(r'Fnsnev\/(\d+\.\d+)', strings[0]) regexs[3].search(r'vachggrkg QBZPbageby_cynprubyqre') regexs[0].search(r'xrlqbja') regexs[0].search(r'xrlhc') for i in range(77): regexs[12].sub( r'', 'uggc://zrffntvat.zlfcnpr.pbz/vaqrk.psz', subcount[12]) regexs[13].search(r'uggc://zrffntvat.zlfcnpr.pbz/vaqrk.psz') for i in range(73): regexs[18].sub( r'', 'FrffvbaFgbentr=%7O%22GnoThvq%22%3N%7O%22thvq%22%3N1231367125017%7Q%7Q', subcount[18]) for i in range(72): regexs[1].search(strings[6]) for i in range(71): regexs[19].search(r'') for i in range(70): regexs[11].sub(r'', '3.5.0.0', subcount[11]) re.sub(r'd1', '', strings[7], 0) re.sub(r'NQ_VQ', '', strings[8], 0) re.sub(r'd2', '', strings[9], 0) re.sub( r'_', '', 'NI%3Q1_CI%3Q1_PI%3Q1_EI%3Q1_HI%3Q1_HP%3Q1_IC%3Q0.0.0.0_IH%3Q0', 0) regexs[20].split( r'svz_zlfcnpr_ubzrcntr_abgybttrqva,svz_zlfcnpr_aba_HTP,svz_zlfcnpr_havgrq-fgngrf') regexs[21].search(r'ybnqvat') for i in range(68): regexs[1].search(r'#') re.search( r'(?:ZFVR.(\d+\.\d+))|(?:(?:Sversbk|TenaCnenqvfb|Vprjrnfry).(\d+\.\d+))|(?:Bcren.(\d+\.\d+))|(?:NccyrJroXvg.(\d+(?:\.\d+)?))', strings[0]) re.search(r'(Znp BF K)|(Jvaqbjf;)', strings[0]) re.search(r'Trpxb\/([0-9]+)', strings[0]) regexs[21].search(r'ybnqrq') for i in range(49): regexs[16].search(r'pbybe') for i in range(44): regexs[12].sub( r'', 'uggc://sevraqf.zlfcnpr.pbz/vaqrk.psz', subcount[12]) regexs[13].search(r'uggc://sevraqf.zlfcnpr.pbz/vaqrk.psz') def block2(): for i in range(40): regexs[14].sub(r'', 'fryrpgrq', subcount[14]) regexs[15].sub(r'', 'fryrpgrq', subcount[15]) for i in range(39): re.sub(r'\buvqqra_ryrz\b', '', 'vachggrkg uvqqra_ryrz', 0) regexs[3].search(r'vachggrkg ') regexs[3].search(r'vachggrkg') regexs[22].search(r'HVYvaxOhggba') regexs[22].search(r'HVYvaxOhggba_E') regexs[22].search(r'HVYvaxOhggba_EJ') regexs[22].search(r'zrah_ybtva_pbagnvare') re.search(r'\buvqqra_ryrz\b', 'vachgcnffjbeq') for i in range(37): regexs[8].search(r'111soqs57qo8o8480qo18sor2011r3n591q7s6s37r120904') regexs[8].search(r'SbeprqRkcvengvba=633669315660164980') regexs[8].search( r'FrffvbaQQS2=111soqs57qo8o8480qo18sor2011r3n591q7s6s37r120904') for i in range(35): regexs[14].sub(r'', 'puvyq p1 svefg', subcount[14]) regexs[15].sub(r'', 'puvyq p1 svefg', subcount[15]) regexs[14].sub(r'', 'sylbhg pybfrq', subcount[14]) regexs[15].sub(r'', 'sylbhg pybfrq', subcount[15]) for i in range(34): regexs[19].search(r'gno2') regexs[19].search(r'gno3') regexs[8].search(r'44132r503660') regexs[8].search(r'SbeprqRkcvengvba=633669316860113296') regexs[8].search(r'AFP_zp_dfctwzs-aowb_80=44132r503660') regexs[8].search( r'FrffvbaQQS2=s6r4579npn4rn2135s904r0s75pp1o5334p6s6pospo12696') regexs[8].search(r's6r4579npn4rn2135s904r0s75pp1o5334p6s6pospo12696') for i in range(32): re.search(r'puebzr', strings[0], re.IGNORECASE) for i in range(31): regexs[23].sub(r'', 'uggc://jjj.snprobbx.pbz/', subcount[23]) regexs[8].search(r'SbeprqRkcvengvba=633669358527244818') regexs[8].search(r'VC=66.249.85.130') regexs[8].search( r'FrffvbaQQS2=s15q53p9n372sn76npr13o271n4s3p5r29p235746p908p58') regexs[8].search(r's15q53p9n372sn76npr13o271n4s3p5r29p235746p908p58') regexs[24].search(r'uggc://jjj.snprobbx.pbz/') for i in range(30): regexs[6].sub(r'', '419', subcount[6]) re.search(r'(?:^|\s+)gvzrfgnzc(?:\s+|$)', 'gvzrfgnzc') regexs[7].search(r'419') for i in range(29): regexs[23].sub(r'', 'uggc://jjj.snprobbx.pbz/ybtva.cuc', subcount[23]) for i in range(28): regexs[25].sub(r'', 'Funer guvf tnqtrg', subcount[25]) regexs[12].sub(r'', 'Funer guvf tnqtrg', subcount[12]) regexs[26].search(r'uggc://jjj.tbbtyr.pbz/vt/qverpgbel') def block3(): for i in range(27): re.sub(r'[A-Za-z]', '', 'e115', 0) for i in range(23): regexs[27].sub(r'', 'qvfcynl', subcount[27]) regexs[27].sub(r'', 'cbfvgvba', subcount[27]) for i in range(22): regexs[14].sub(r'', 'unaqyr', subcount[14]) regexs[15].sub(r'', 'unaqyr', subcount[15]) regexs[14].sub(r'', 'yvar', subcount[14]) regexs[15].sub(r'', 'yvar', subcount[15]) regexs[14].sub(r'', 'cnerag puebzr6 fvatyr1 gno', subcount[14]) regexs[15].sub(r'', 'cnerag puebzr6 fvatyr1 gno', subcount[15]) regexs[14].sub(r'', 'fyvqre', subcount[14]) regexs[15].sub(r'', 'fyvqre', subcount[15]) regexs[28].search(r'') for i in range(21): regexs[12].sub(r'', 'uggc://jjj.zlfcnpr.pbz/', subcount[12]) regexs[13].search(r'uggc://jjj.zlfcnpr.pbz/') for i in range(20): regexs[29].sub(r'', 'cntrivrj', subcount[29]) regexs[30].sub(r'', 'cntrivrj', subcount[30]) regexs[19].search(r'ynfg') regexs[19].search(r'ba svefg') regexs[8].search(r'VC=74.125.75.3') for i in range(19): regexs[31].search(r'ra') for i in range(18): regexs[32].split(strings[10]) regexs[32].split(strings[11]) regexs[33].sub(r'', strings[12], subcount[33]) regexs[8].search(r'144631658.0.10.1231363570') regexs[8].search( r'144631658.1231363570.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[8].search( r'144631658.3426875219718084000.1231363570.1231363570.1231363570.1') regexs[8].search(strings[13]) regexs[8].search(strings[14]) regexs[8].search( r'__hgzn=144631658.3426875219718084000.1231363570.1231363570.1231363570.1') regexs[8].search(r'__hgzo=144631658.0.10.1231363570') regexs[8].search( r'__hgzm=144631658.1231363570.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[34].search(strings[10]) regexs[34].search(strings[11]) for i in range(17): re.match(r'zfvr', strings[0], re.IGNORECASE) re.match(r'bcren', strings[0], re.IGNORECASE) regexs[32].split(strings[15]) regexs[32].split(strings[16]) regexs[14].sub(r'', 'ohggba', subcount[14]) regexs[15].sub(r'', 'ohggba', subcount[15]) regexs[14].sub(r'', 'puvyq p1 svefg sylbhg pybfrq', subcount[14]) regexs[15].sub(r'', 'puvyq p1 svefg sylbhg pybfrq', subcount[15]) regexs[14].sub(r'', 'pvgvrf', subcount[14]) regexs[15].sub(r'', 'pvgvrf', subcount[15]) regexs[14].sub(r'', 'pybfrq', subcount[14]) regexs[15].sub(r'', 'pybfrq', subcount[15]) regexs[14].sub(r'', 'qry', subcount[14]) regexs[15].sub(r'', 'qry', subcount[15]) regexs[14].sub(r'', 'uqy_zba', subcount[14]) regexs[15].sub(r'', 'uqy_zba', subcount[15]) regexs[33].sub(r'', strings[17], subcount[33]) re.sub(r'%3P', '', strings[18], 0) re.sub(r'%3R', '', strings[18], 0) re.sub(r'%3q', '', strings[18], 0) regexs[35].sub(r'', strings[18], subcount[35]) regexs[14].sub(r'', 'yvaxyvfg16', subcount[14]) regexs[15].sub(r'', 'yvaxyvfg16', subcount[15]) regexs[14].sub(r'', 'zvahf', subcount[14]) regexs[15].sub(r'', 'zvahf', subcount[15]) regexs[14].sub(r'', 'bcra', subcount[14]) regexs[15].sub(r'', 'bcra', subcount[15]) regexs[14].sub(r'', 'cnerag puebzr5 fvatyr1 ps NU', subcount[14]) regexs[15].sub(r'', 'cnerag puebzr5 fvatyr1 ps NU', subcount[15]) regexs[14].sub(r'', 'cynlre', subcount[14]) regexs[15].sub(r'', 'cynlre', subcount[15]) regexs[14].sub(r'', 'cyhf', subcount[14]) regexs[15].sub(r'', 'cyhf', subcount[15]) regexs[14].sub(r'', 'cb_uqy', subcount[14]) regexs[15].sub(r'', 'cb_uqy', subcount[15]) regexs[14].sub(r'', 'hyJVzt', subcount[14]) regexs[15].sub(r'', 'hyJVzt', subcount[15]) regexs[8].search(r'144631658.0.10.1231363638') regexs[8].search( r'144631658.1231363638.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[8].search( r'144631658.965867047679498800.1231363638.1231363638.1231363638.1') regexs[8].search(r'4413268q3660') regexs[8].search(r'4ss747o77904333q374or84qrr1s9r0nprp8r5q81534o94n') regexs[8].search(r'SbeprqRkcvengvba=633669321699093060') regexs[8].search(r'VC=74.125.75.20') regexs[8].search(strings[19]) regexs[8].search(strings[20]) regexs[8].search(r'AFP_zp_tfwsbrg-aowb_80=4413268q3660') regexs[8].search( r'FrffvbaQQS2=4ss747o77904333q374or84qrr1s9r0nprp8r5q81534o94n') regexs[8].search( r'__hgzn=144631658.965867047679498800.1231363638.1231363638.1231363638.1') regexs[8].search(r'__hgzo=144631658.0.10.1231363638') regexs[8].search( r'__hgzm=144631658.1231363638.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[34].search(strings[15]) regexs[34].search(strings[16]) def block4(): for i in range(16): re.sub(r'\*', '', '', 0) re.search(r'\bnpgvir\b', 'npgvir') re.search(r'sversbk', strings[0], re.IGNORECASE) regexs[36].search(r'glcr') re.search(r'zfvr', strings[0], re.IGNORECASE) re.search(r'bcren', strings[0], re.IGNORECASE) for i in range(15): regexs[32].split(strings[21]) regexs[32].split(strings[22]) regexs[12].sub( r'', 'uggc://ohyyrgvaf.zlfcnpr.pbz/vaqrk.psz', subcount[12]) regexs[33].sub(r'', strings[23], subcount[33]) regexs[37].sub(r'', 'yv', subcount[37]) regexs[18].sub(r'', 'yv', subcount[18]) regexs[8].search(r'144631658.0.10.1231367822') regexs[8].search( r'144631658.1231367822.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[8].search( r'144631658.4127520630321984500.1231367822.1231367822.1231367822.1') regexs[8].search(strings[24]) regexs[8].search(strings[25]) regexs[8].search( r'__hgzn=144631658.4127520630321984500.1231367822.1231367822.1231367822.1') regexs[8].search(r'__hgzo=144631658.0.10.1231367822') regexs[8].search( r'__hgzm=144631658.1231367822.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[34].search(strings[21]) regexs[34].search(strings[22]) # FIXME # The \{0,65534} should be a * # There's a current python bug that will stop the regex compilation # when a * appears there http://bugs.python.org/issue6156. re.search( r'\.([\w-]+)|\[(\w+)(?:([!*^$~|]?=)["\']?(.*?)["\']?)?\]|:([\w-]+)(?:\(["\']?(.\{0,65534}?)?["\']?\)|$)', strings[26]) regexs[13].search(r'uggc://ohyyrgvaf.zlfcnpr.pbz/vaqrk.psz') regexs[38].search(r'yv') for i in range(14): regexs[18].sub(r'', '', subcount[18]) re.sub(r'(\s+e|\s+o[0-9]+)', '', '9.0 e115', 1) re.sub(r'<', '', 'Funer guvf tnqtrg', 0) re.sub(r'>', '', 'Funer guvf tnqtrg', 0) regexs[39].sub(r'', 'Funer guvf tnqtrg', subcount[39]) regexs[12].sub( r'', 'uggc://cebsvyrrqvg.zlfcnpr.pbz/vaqrk.psz', subcount[12]) regexs[40].sub(r'', 'grnfre', subcount[40]) regexs[41].sub(r'', 'grnfre', subcount[41]) regexs[42].sub(r'', 'grnfre', subcount[42]) regexs[43].sub(r'', 'grnfre', subcount[43]) regexs[44].sub(r'', 'grnfre', subcount[44]) regexs[45].sub(r'', 'grnfre', subcount[45]) regexs[46].sub(r'', 'grnfre', subcount[46]) regexs[47].sub(r'', 'grnfre', subcount[47]) regexs[48].sub(r'', 'grnfre', subcount[48]) regexs[16].search(r'znetva-gbc') regexs[16].search(r'cbfvgvba') regexs[19].search(r'gno1') regexs[9].search(r'qz') regexs[9].search(r'qg') regexs[9].search(r'zbqobk') regexs[9].search(r'zbqobkva') regexs[9].search(r'zbqgvgyr') regexs[13].search(r'uggc://cebsvyrrqvg.zlfcnpr.pbz/vaqrk.psz') regexs[26].search(r'/vt/znvytnqtrg') regexs[49].search(r'glcr') def block5(): for i in range(13): regexs[14].sub(r'', 'purpx', subcount[14]) regexs[15].sub(r'', 'purpx', subcount[15]) regexs[14].sub(r'', 'pvgl', subcount[14]) regexs[15].sub(r'', 'pvgl', subcount[15]) regexs[14].sub(r'', 'qrpe fyvqrgrkg', subcount[14]) regexs[15].sub(r'', 'qrpe fyvqrgrkg', subcount[15]) regexs[14].sub(r'', 'svefg fryrpgrq', subcount[14]) regexs[15].sub(r'', 'svefg fryrpgrq', subcount[15]) regexs[14].sub(r'', 'uqy_rag', subcount[14]) regexs[15].sub(r'', 'uqy_rag', subcount[15]) regexs[14].sub(r'', 'vape fyvqrgrkg', subcount[14]) regexs[15].sub(r'', 'vape fyvqrgrkg', subcount[15]) regexs[5].sub(r'', 'vachggrkg QBZPbageby_cynprubyqre', subcount[5]) regexs[14].sub( r'', 'cnerag puebzr6 fvatyr1 gno fryrpgrq', subcount[14]) regexs[15].sub( r'', 'cnerag puebzr6 fvatyr1 gno fryrpgrq', subcount[15]) regexs[14].sub(r'', 'cb_guz', subcount[14]) regexs[15].sub(r'', 'cb_guz', subcount[15]) regexs[14].sub(r'', 'fhozvg', subcount[14]) regexs[15].sub(r'', 'fhozvg', subcount[15]) regexs[50].search(r'') re.search(r'NccyrJroXvg\/([^\s]*)', strings[0]) re.search(r'XUGZY', strings[0]) for i in range(12): re.sub(r'(\$\{cebg\})|(\$cebg\b)', '', '${cebg}://${ubfg}${cngu}/${dz}', 0) regexs[40].sub(r'', '1', subcount[40]) regexs[10].sub(r'', '1', subcount[10]) regexs[51].sub(r'', '1', subcount[51]) regexs[52].sub(r'', '1', subcount[52]) regexs[53].sub(r'', '1', subcount[53]) regexs[39].sub(r'', '1', subcount[39]) regexs[54].sub(r'', '1', subcount[54]) re.sub(r'^(.*)\..*$', '', '9.0 e115', 1) re.sub(r'^.*e(.*)$', '', '9.0 e115', 1) regexs[55].sub(r'', '', subcount[55]) regexs[55].sub( r'', '', subcount[55]) re.sub(r'^.*\s+(\S+\s+\S+$)', '', strings[1], 1) regexs[30].sub(r'', 'tzk%2Subzrcntr%2Sfgneg%2Sqr%2S', subcount[30]) regexs[30].sub(r'', 'tzk', subcount[30]) re.sub(r'(\$\{ubfg\})|(\$ubfg\b)', '', 'uggc://${ubfg}${cngu}/${dz}', 0) regexs[56].sub( r'', 'uggc://nqpyvrag.hvzfrei.arg${cngu}/${dz}', subcount[56]) re.sub(r'(\$\{dz\})|(\$dz\b)', '', 'uggc://nqpyvrag.hvzfrei.arg/wf.at/${dz}', 0) regexs[29].sub(r'', 'frpgvba', subcount[29]) regexs[30].sub(r'', 'frpgvba', subcount[30]) regexs[29].sub(r'', 'fvgr', subcount[29]) regexs[30].sub(r'', 'fvgr', subcount[30]) regexs[29].sub(r'', 'fcrpvny', subcount[29]) regexs[30].sub(r'', 'fcrpvny', subcount[30]) regexs[36].search(r'anzr') re.search(r'e', '9.0 e115') def block6(): for i in range(11): re.sub(r'(?i)##yv0##', '', strings[27], 0) regexs[57].sub(r'', strings[27], subcount[57]) regexs[58].sub(r'', strings[28], subcount[58]) regexs[59].sub(r'', strings[29], subcount[59]) re.sub(r'(?i)##\/o##', '', strings[30], 0) re.sub(r'(?i)##\/v##', '', strings[30], 0) re.sub(r'(?i)##\/h##', '', strings[30], 0) re.sub(r'(?i)##o##', '', strings[30], 0) re.sub(r'(?i)##oe##', '', strings[30], 0) re.sub(r'(?i)##v##', '', strings[30], 0) re.sub(r'(?i)##h##', '', strings[30], 0) re.sub(r'(?i)##n##', '', strings[31], 0) re.sub(r'(?i)##\/n##', '', strings[32], 0) # This prints a unicode escape where the V8 version # prints the unicode character. re.sub(r'#~#argjbexybtb#~#', '', strings[33], 0) re.search(r' Zbovyr\/', strings[0]) re.search(r'##yv1##', strings[27], re.IGNORECASE) re.search(r'##yv10##', strings[28], re.IGNORECASE) re.search(r'##yv11##', strings[28], re.IGNORECASE) re.search(r'##yv12##', strings[28], re.IGNORECASE) re.search(r'##yv13##', strings[28], re.IGNORECASE) re.search(r'##yv14##', strings[28], re.IGNORECASE) re.search(r'##yv15##', strings[28], re.IGNORECASE) regexs[58].search(strings[28]) re.search(r'##yv17##', strings[29], re.IGNORECASE) re.search(r'##yv18##', strings[29], re.IGNORECASE) regexs[59].search(strings[29]) re.search(r'##yv2##', strings[27], re.IGNORECASE) re.search(r'##yv20##', strings[30], re.IGNORECASE) re.search(r'##yv21##', strings[30], re.IGNORECASE) re.search(r'##yv22##', strings[30], re.IGNORECASE) re.search(r'##yv23##', strings[30], re.IGNORECASE) re.search(r'##yv3##', strings[27], re.IGNORECASE) regexs[57].search(strings[27]) re.search(r'##yv5##', strings[28], re.IGNORECASE) re.search(r'##yv6##', strings[28], re.IGNORECASE) re.search(r'##yv7##', strings[28], re.IGNORECASE) re.search(r'##yv8##', strings[28], re.IGNORECASE) re.search(r'##yv9##', strings[28], re.IGNORECASE) regexs[8].search(r'473qq1rs0n2r70q9qo1pq48n021s9468ron90nps048p4p29') regexs[8].search(r'SbeprqRkcvengvba=633669325184628362') regexs[8].search( r'FrffvbaQQS2=473qq1rs0n2r70q9qo1pq48n021s9468ron90nps048p4p29') re.search(r'AbxvnA[^\/]*', strings[0]) for i in range(10): re.sub(r'(?:^|\s+)bss(?:\s+|$)', '', ' bss', 0) re.sub(r'(\$\{0\})|(\$0\b)', '', strings[34], 0) re.sub(r'(\$\{1\})|(\$1\b)', '', strings[34], 0) re.sub(r'(\$\{pbzcyrgr\})|(\$pbzcyrgr\b)', '', strings[34], 0) re.sub(r'(\$\{sentzrag\})|(\$sentzrag\b)', '', strings[34], 0) re.sub(r'(\$\{ubfgcbeg\})|(\$ubfgcbeg\b)', '', strings[34], 0) regexs[56].sub(r'', strings[34], subcount[56]) re.sub(r'(\$\{cebgbpby\})|(\$cebgbpby\b)', '', strings[34], 0) re.sub(r'(\$\{dhrel\})|(\$dhrel\b)', '', strings[34], 0) regexs[29].sub(r'', 'nqfvmr', subcount[29]) regexs[30].sub(r'', 'nqfvmr', subcount[30]) re.sub(r'(\$\{2\})|(\$2\b)', '', 'uggc://${2}${3}${4}${5}', 0) re.sub(r'(\$\{3\})|(\$3\b)', '', 'uggc://wf.hv-cbegny.qr${3}${4}${5}', 0) regexs[40].sub(r'', 'arjf', subcount[40]) regexs[41].sub(r'', 'arjf', subcount[41]) regexs[42].sub(r'', 'arjf', subcount[42]) regexs[43].sub(r'', 'arjf', subcount[43]) regexs[44].sub(r'', 'arjf', subcount[44]) regexs[45].sub(r'', 'arjf', subcount[45]) regexs[46].sub(r'', 'arjf', subcount[46]) regexs[47].sub(r'', 'arjf', subcount[47]) regexs[48].sub(r'', 'arjf', subcount[48]) re.search(r' PC=i=(\d+)&oe=(.)', strings[35]) regexs[60].search(r' ') regexs[60].search(r' bss') regexs[60].search(r'') regexs[19].search(r' ') regexs[19].search(r'svefg ba') regexs[19].search(r'ynfg vtaber') regexs[19].search(r'ba') regexs[9].search(r'scnq so ') regexs[9].search(r'zrqvgobk') regexs[9].search(r'hsgy') regexs[9].search(r'lhv-h') re.search(r'Fnsnev|Xbadhrebe|XUGZY', strings[0], re.IGNORECASE) regexs[61].search( r'uggc://wf.hv-cbegny.qr/tzk/ubzr/wf/20080602/onfr.wf') regexs[62].search(r'#Ybtva_rznvy') def block7(): for i in range(9): regexs[40].sub(r'', '0', subcount[40]) regexs[10].sub(r'', '0', subcount[10]) regexs[51].sub(r'', '0', subcount[51]) regexs[52].sub(r'', '0', subcount[52]) regexs[53].sub(r'', '0', subcount[53]) regexs[39].sub(r'', '0', subcount[39]) regexs[54].sub(r'', '0', subcount[54]) regexs[40].sub(r'', 'Lrf', subcount[40]) regexs[10].sub(r'', 'Lrf', subcount[10]) regexs[51].sub(r'', 'Lrf', subcount[51]) regexs[52].sub(r'', 'Lrf', subcount[52]) regexs[53].sub(r'', 'Lrf', subcount[53]) regexs[39].sub(r'', 'Lrf', subcount[39]) regexs[54].sub(r'', 'Lrf', subcount[54]) for i in range(8): regexs[63].sub(r'', 'Pybfr {0}', subcount[63]) regexs[63].sub(r'', 'Bcra {0}', subcount[63]) regexs[32].split(strings[36]) regexs[32].split(strings[37]) regexs[14].sub(r'', 'puvyq p1 svefg gnournqref', subcount[14]) regexs[15].sub(r'', 'puvyq p1 svefg gnournqref', subcount[15]) regexs[14].sub(r'', 'uqy_fcb', subcount[14]) regexs[15].sub(r'', 'uqy_fcb', subcount[15]) regexs[14].sub(r'', 'uvag', subcount[14]) regexs[15].sub(r'', 'uvag', subcount[15]) regexs[33].sub(r'', strings[38], subcount[33]) regexs[14].sub(r'', 'yvfg', subcount[14]) regexs[15].sub(r'', 'yvfg', subcount[15]) regexs[30].sub(r'', 'at_bhgre', subcount[30]) regexs[14].sub(r'', 'cnerag puebzr5 qbhoyr2 NU', subcount[14]) regexs[15].sub(r'', 'cnerag puebzr5 qbhoyr2 NU', subcount[15]) regexs[14].sub( r'', 'cnerag puebzr5 dhnq5 ps NU osyvax zbarl', subcount[14]) regexs[15].sub( r'', 'cnerag puebzr5 dhnq5 ps NU osyvax zbarl', subcount[15]) regexs[14].sub(r'', 'cnerag puebzr6 fvatyr1', subcount[14]) regexs[15].sub(r'', 'cnerag puebzr6 fvatyr1', subcount[15]) regexs[14].sub(r'', 'cb_qrs', subcount[14]) regexs[15].sub(r'', 'cb_qrs', subcount[15]) regexs[14].sub(r'', 'gnopbagrag', subcount[14]) regexs[15].sub(r'', 'gnopbagrag', subcount[15]) regexs[30].sub(r'', 'iv_svefg_gvzr', subcount[30]) re.search(r'(^|.)(ronl|qri-ehf3.wbg)(|fgberf|zbgbef|yvirnhpgvbaf|jvxv|rkcerff|punggre).(pbz(|.nh|.pa|.ux|.zl|.ft|.oe|.zk)|pb(.hx|.xe|.am)|pn|qr|se|vg|ay|or|ng|pu|vr|va|rf|cy|cu|fr)$', 'cntrf.ronl.pbz', re.IGNORECASE) regexs[8].search(r'144631658.0.10.1231364074') regexs[8].search( r'144631658.1231364074.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[8].search( r'144631658.2294274870215848400.1231364074.1231364074.1231364074.1') regexs[8].search(r'4413241q3660') regexs[8].search(r'SbeprqRkcvengvba=633669357391353591') regexs[8].search(strings[39]) regexs[8].search(strings[40]) regexs[8].search(r'AFP_zp_kkk-gdzogv_80=4413241q3660') regexs[8].search( r'FrffvbaQQS2=p98s8o9q42nr21or1r61pqorn1n002nsss569635984s6qp7') regexs[8].search( r'__hgzn=144631658.2294274870215848400.1231364074.1231364074.1231364074.1') regexs[8].search(r'__hgzo=144631658.0.10.1231364074') regexs[8].search( r'__hgzm=144631658.1231364074.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[8].search(r'p98s8o9q42nr21or1r61pqorn1n002nsss569635984s6qp7') regexs[34].search(strings[36]) regexs[34].search(strings[37]) def block8(): for i in range(7): re.match(r'\d+', strings[1]) regexs[64].sub(r'', 'nsgre', subcount[64]) regexs[64].sub(r'', 'orsber', subcount[64]) regexs[64].sub(r'', 'obggbz', subcount[64]) regexs[65].sub(r'', 'ohvygva_jrngure.kzy', subcount[65]) regexs[37].sub(r'', 'ohggba', subcount[37]) regexs[18].sub(r'', 'ohggba', subcount[18]) regexs[65].sub(r'', 'qngrgvzr.kzy', subcount[65]) regexs[65].sub( r'', 'uggc://eff.paa.pbz/eff/paa_gbcfgbevrf.eff', subcount[65]) regexs[37].sub(r'', 'vachg', subcount[37]) regexs[18].sub(r'', 'vachg', subcount[18]) regexs[64].sub(r'', 'vafvqr', subcount[64]) regexs[27].sub(r'', 'cbvagre', subcount[27]) re.sub(r'[A-Z]', '', 'cbfvgvba', 0) regexs[27].sub(r'', 'gbc', subcount[27]) regexs[64].sub(r'', 'gbc', subcount[64]) regexs[37].sub(r'', 'hy', subcount[37]) regexs[18].sub(r'', 'hy', subcount[18]) regexs[37].sub(r'', strings[26], subcount[37]) regexs[18].sub(r'', strings[26], subcount[18]) regexs[65].sub(r'', 'lbhghor_vtbbtyr/i2/lbhghor.kzy', subcount[65]) regexs[27].sub(r'', 'm-vaqrk', subcount[27]) re.search(r'#([\w-]+)', strings[26]) regexs[16].search(r'urvtug') regexs[16].search(r'znetvaGbc') regexs[16].search(r'jvqgu') regexs[19].search(r'gno0 svefg ba') regexs[19].search(r'gno0 ba') regexs[19].search(r'gno4 ynfg') regexs[19].search(r'gno4') regexs[19].search(r'gno5') regexs[19].search(r'gno6') regexs[19].search(r'gno7') regexs[19].search(r'gno8') re.search(r'NqborNVE\/([^\s]*)', strings[0]) re.search(r'NccyrJroXvg\/([^ ]*)', strings[0]) re.search(r'XUGZY', strings[0], re.IGNORECASE) re.search(r'^(?:obql|ugzy)$', 'YV', re.IGNORECASE) regexs[38].search(r'ohggba') regexs[38].search(r'vachg') regexs[38].search(r'hy') regexs[38].search(strings[26]) re.search(r'^(\w+|\*)', strings[26]) re.search(r'znp|jva|yvahk', 'Jva32', re.IGNORECASE) re.search(r'eton?\([\d\s,]+\)', 'fgngvp') for i in range(6): re.sub(r'\r', '', '', 0) regexs[40].sub(r'', '/', subcount[40]) regexs[10].sub(r'', '/', subcount[10]) regexs[51].sub(r'', '/', subcount[51]) regexs[52].sub(r'', '/', subcount[52]) regexs[53].sub(r'', '/', subcount[53]) regexs[39].sub(r'', '/', subcount[39]) regexs[54].sub(r'', '/', subcount[54]) regexs[63].sub( r'', 'uggc://zfacbegny.112.2b7.arg/o/ff/zfacbegnyubzr/1/U.7-cqi-2/{0}?[NDO]&{1}&{2}&[NDR]', subcount[63]) regexs[12].sub(r'', strings[41], subcount[12]) regexs[23].sub(r'', 'uggc://jjj.snprobbx.pbz/fepu.cuc', subcount[23]) regexs[40].sub(r'', 'freivpr', subcount[40]) regexs[41].sub(r'', 'freivpr', subcount[41]) regexs[42].sub(r'', 'freivpr', subcount[42]) regexs[43].sub(r'', 'freivpr', subcount[43]) regexs[44].sub(r'', 'freivpr', subcount[44]) regexs[45].sub(r'', 'freivpr', subcount[45]) regexs[46].sub(r'', 'freivpr', subcount[46]) regexs[47].sub(r'', 'freivpr', subcount[47]) regexs[48].sub(r'', 'freivpr', subcount[48]) re.search(r'((ZFVR\s+([6-9]|\d\d)\.))', strings[0]) regexs[66].search(r'') regexs[50].search(r'fryrpgrq') regexs[8].search(r'8sqq78r9n442851q565599o401385sp3s04r92rnn7o19ssn') regexs[8].search(r'SbeprqRkcvengvba=633669340386893867') regexs[8].search(r'VC=74.125.75.17') regexs[8].search( r'FrffvbaQQS2=8sqq78r9n442851q565599o401385sp3s04r92rnn7o19ssn') re.search(r'Xbadhrebe|Fnsnev|XUGZY', strings[0]) regexs[13].search(strings[41]) regexs[49].search(r'unfsbphf') def block9(): for i in range(5): regexs[32].split(strings[42]) regexs[32].split(strings[43]) regexs[20].split( r'svz_zlfcnpr_hfre-ivrj-pbzzragf,svz_zlfcnpr_havgrq-fgngrf') regexs[33].sub(r'', strings[44], subcount[33]) regexs[67].sub( r'', 'zrah_arj zrah_arj_gbttyr zrah_gbttyr', subcount[67]) regexs[67].sub( r'', 'zrah_byq zrah_byq_gbttyr zrah_gbttyr', subcount[67]) regexs[8].search(r'102n9o0o9pq60132qn0337rr867p75953502q2s27s2s5r98') regexs[8].search(r'144631658.0.10.1231364380') regexs[8].search( r'144631658.1231364380.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[8].search( r'144631658.3931862196947939300.1231364380.1231364380.1231364380.1') regexs[8].search(r'441326q33660') regexs[8].search(r'SbeprqRkcvengvba=633669341278771470') regexs[8].search(strings[45]) regexs[8].search(strings[46]) regexs[8].search(r'AFP_zp_dfctwzssrwh-aowb_80=441326q33660') regexs[8].search( r'FrffvbaQQS2=102n9o0o9pq60132qn0337rr867p75953502q2s27s2s5r98') regexs[8].search( r'__hgzn=144631658.3931862196947939300.1231364380.1231364380.1231364380.1') regexs[8].search(r'__hgzo=144631658.0.10.1231364380') regexs[8].search( r'__hgzm=144631658.1231364380.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') for i in range(4): regexs[14].sub(r'', ' yvfg1', subcount[14]) regexs[15].sub(r'', ' yvfg1', subcount[15]) regexs[14].sub(r'', ' yvfg2', subcount[14]) regexs[15].sub(r'', ' yvfg2', subcount[15]) regexs[14].sub(r'', ' frneputebhc1', subcount[14]) regexs[15].sub(r'', ' frneputebhc1', subcount[15]) regexs[68].sub(r'', strings[47], subcount[68]) regexs[18].sub(r'', strings[47], subcount[18]) re.sub(r'&', '', '', 0) regexs[35].sub(r'', '', subcount[35]) regexs[63].sub(r'', '(..-{0})(|(d+)|)', subcount[63]) regexs[18].sub(r'', strings[48], subcount[18]) regexs[56].sub( r'', '//vzt.jro.qr/vij/FC/${cngu}/${anzr}/${inyhr}?gf=${abj}', subcount[56]) re.sub(r'(\$\{anzr\})|(\$anzr\b)', '', '//vzt.jro.qr/vij/FC/tzk_uc/${anzr}/${inyhr}?gf=${abj}', 0) regexs[69].sub( r'', 'Jvaqbjf Yvir Ubgznvy{1}', subcount[69]) regexs[63].sub( r'', '{0}{1}', subcount[63]) regexs[69].sub( r'', '{1}', subcount[69]) regexs[63].sub( r'', '{1}', subcount[63]) regexs[15].sub(r'', 'Vzntrf', subcount[15]) regexs[15].sub(r'', 'ZFA', subcount[15]) regexs[15].sub(r'', 'Zncf', subcount[15]) regexs[39].sub(r'', 'Zbq-Vasb-Vasb-WninFpevcgUvag', subcount[39]) regexs[15].sub(r'', 'Arjf', subcount[15]) regexs[32].split(strings[49]) regexs[32].split(strings[50]) regexs[15].sub(r'', 'Ivqrb', subcount[15]) regexs[15].sub(r'', 'Jro', subcount[15]) regexs[39].sub(r'', 'n', subcount[39]) regexs[70].split(r'nwnkFgneg') regexs[70].split(r'nwnkFgbc') regexs[14].sub(r'', 'ovaq', subcount[14]) regexs[15].sub(r'', 'ovaq', subcount[15]) regexs[63].sub( r'', 'oevatf lbh zber. Zber fcnpr (5TO), zber frphevgl, fgvyy serr.', subcount[63]) regexs[14].sub(r'', 'puvyq p1 svefg qrpx', subcount[14]) regexs[15].sub(r'', 'puvyq p1 svefg qrpx', subcount[15]) regexs[14].sub(r'', 'puvyq p1 svefg qbhoyr2', subcount[14]) regexs[15].sub(r'', 'puvyq p1 svefg qbhoyr2', subcount[15]) regexs[14].sub(r'', 'puvyq p2 ynfg', subcount[14]) regexs[15].sub(r'', 'puvyq p2 ynfg', subcount[15]) regexs[14].sub(r'', 'puvyq p2', subcount[14]) regexs[15].sub(r'', 'puvyq p2', subcount[15]) regexs[14].sub(r'', 'puvyq p3', subcount[14]) regexs[15].sub(r'', 'puvyq p3', subcount[15]) regexs[14].sub(r'', 'puvyq p4 ynfg', subcount[14]) regexs[15].sub(r'', 'puvyq p4 ynfg', subcount[15]) regexs[14].sub(r'', 'pbclevtug', subcount[14]) regexs[15].sub(r'', 'pbclevtug', subcount[15]) regexs[14].sub(r'', 'qZFAZR_1', subcount[14]) regexs[15].sub(r'', 'qZFAZR_1', subcount[15]) regexs[14].sub(r'', 'qbhoyr2 ps', subcount[14]) regexs[15].sub(r'', 'qbhoyr2 ps', subcount[15]) regexs[14].sub(r'', 'qbhoyr2', subcount[14]) regexs[15].sub(r'', 'qbhoyr2', subcount[15]) regexs[14].sub(r'', 'uqy_arj', subcount[14]) regexs[15].sub(r'', 'uqy_arj', subcount[15]) regexs[30].sub(r'', 'uc_fubccvatobk', subcount[30]) regexs[29].sub(r'', 'ugzy%2Rvq', subcount[29]) regexs[30].sub(r'', 'ugzy%2Rvq', subcount[30]) regexs[33].sub(r'', strings[51], subcount[33]) regexs[71].sub( r'', 'uggc://wf.hv-cbegny.qr/tzk/ubzr/wf/20080602/cebgbglcr.wf${4}${5}', subcount[71]) regexs[72].sub( r'', 'uggc://wf.hv-cbegny.qr/tzk/ubzr/wf/20080602/cebgbglcr.wf${5}', subcount[72]) regexs[73].sub(r'', strings[52], subcount[73]) regexs[69].sub( r'', 'uggc://zfacbegny.112.2b7.arg/o/ff/zfacbegnyubzr/1/U.7-cqi-2/f55332979829981?[NDO]&{1}&{2}&[NDR]', subcount[69]) regexs[14].sub(r'', 'vztZFSG', subcount[14]) regexs[15].sub(r'', 'vztZFSG', subcount[15]) regexs[14].sub(r'', 'zfasbbg1 ps', subcount[14]) regexs[15].sub(r'', 'zfasbbg1 ps', subcount[15]) regexs[14].sub(r'', strings[53], subcount[14]) regexs[15].sub(r'', strings[53], subcount[15]) regexs[14].sub( r'', 'cnerag puebzr6 fvatyr1 gno fryrpgrq ovaq', subcount[14]) regexs[15].sub( r'', 'cnerag puebzr6 fvatyr1 gno fryrpgrq ovaq', subcount[15]) regexs[14].sub(r'', 'cevznel', subcount[14]) regexs[15].sub(r'', 'cevznel', subcount[15]) regexs[30].sub(r'', 'erpgnatyr', subcount[30]) regexs[14].sub(r'', 'frpbaqnel', subcount[14]) regexs[15].sub(r'', 'frpbaqnel', subcount[15]) regexs[70].split(r'haybnq') regexs[63].sub(r'', '{0}{1}1', subcount[63]) regexs[69].sub(r'', '|{1}1', subcount[69]) re.search(r'(..-HF)(\|(\d+)|)', 'xb-xe,ra-va,gu-gu', re.IGNORECASE) regexs[4].search(r'/ZlFcnprNccf/NccPnainf,45000012') regexs[8].search(r'144631658.0.10.1231367708') regexs[8].search( r'144631658.1231367708.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[8].search( r'144631658.2770915348920628700.1231367708.1231367708.1231367708.1') regexs[8].search(r'4413235p3660') regexs[8].search(r'441327q73660') regexs[8].search(r'9995p6rp12rrnr893334ro7nq70o7p64p69rqn844prs1473') regexs[8].search(r'SbeprqRkcvengvba=633669350559478880') regexs[8].search(strings[54]) regexs[8].search(strings[55]) regexs[8].search(r'AFP_zp_dfctwzs-aowb_80=441327q73660') regexs[8].search(r'AFP_zp_kkk-aowb_80=4413235p3660') regexs[8].search( r'FrffvbaQQS2=9995p6rp12rrnr893334ro7nq70o7p64p69rqn844prs1473') regexs[8].search( r'__hgzn=144631658.2770915348920628700.1231367708.1231367708.1231367708.1') regexs[8].search(r'__hgzo=144631658.0.10.1231367708') regexs[8].search( r'__hgzm=144631658.1231367708.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[34].search(strings[49]) regexs[34].search(strings[50]) re.search(r'ZFVR\s+5[.]01', strings[0]) re.search(r'HF(?=;)', strings[56], re.IGNORECASE) regexs[74].search(strings[47]) regexs[28].search(r'svefg npgvir svefgNpgvir') regexs[28].search(r'ynfg') re.search( r'\bp:(..)', 'm:94043|yn:37.4154|yb:-122.0585|p:HF', re.IGNORECASE) regexs[75].search(strings[57]) regexs[75].search(strings[58]) regexs[76].search(strings[57]) regexs[76].search(strings[58]) regexs[77].search(strings[57]) regexs[77].search(strings[58]) re.search(r'\bhfucce\s*=\s*([^;]*)', strings[59], re.IGNORECASE) regexs[78].search(strings[57]) regexs[78].search(strings[58]) re.search(r'\bjci\s*=\s*([^;]*)', strings[59], re.IGNORECASE) regexs[79].search(strings[58]) regexs[79].search(strings[60]) regexs[79].search(strings[59]) re.search( r'\|p:([a-z]{2})', 'm:94043|yn:37.4154|yb:-122.0585|p:HF|ue:1', re.IGNORECASE) regexs[80].search(strings[47]) regexs[61].search(r'cebgbglcr.wf') regexs[68].search(strings[47]) regexs[81].search(strings[47]) regexs[82].search(strings[47]) re.search(r'^Fubpxjnir Synfu (\d)', strings[1]) re.search(r'^Fubpxjnir Synfu (\d+)', strings[1]) regexs[83].search(r'[bowrpg tybony]') regexs[62].search(strings[47]) regexs[84].search(strings[61]) regexs[84].search(strings[62]) re.search(r'jroxvg', strings[63]) def block10(): for i in range(3): regexs[39].sub(r'', '%3Szxg=ra-HF', subcount[39]) regexs[40].sub(r'', '-8', subcount[40]) regexs[10].sub(r'', '-8', subcount[10]) regexs[51].sub(r'', '-8', subcount[51]) regexs[52].sub(r'', '-8', subcount[52]) regexs[53].sub(r'', '-8', subcount[53]) regexs[39].sub(r'', '-8', subcount[39]) regexs[54].sub(r'', '-8', subcount[54]) regexs[40].sub(r'', '1.5', subcount[40]) regexs[10].sub(r'', '1.5', subcount[10]) regexs[51].sub(r'', '1.5', subcount[51]) regexs[52].sub(r'', '1.5', subcount[52]) regexs[53].sub(r'', '1.5', subcount[53]) regexs[39].sub(r'', '1.5', subcount[39]) regexs[54].sub(r'', '1.5', subcount[54]) regexs[40].sub(r'', '1024k768', subcount[40]) regexs[10].sub(r'', '1024k768', subcount[10]) regexs[51].sub(r'', '1024k768', subcount[51]) regexs[52].sub(r'', '1024k768', subcount[52]) regexs[53].sub(r'', '1024k768', subcount[53]) regexs[39].sub(r'', '1024k768', subcount[39]) regexs[54].sub(r'', '1024k768', subcount[54]) regexs[40].sub(r'', strings[64], subcount[40]) regexs[10].sub(r'', strings[64], subcount[10]) regexs[51].sub(r'', strings[64], subcount[51]) regexs[52].sub(r'', strings[64], subcount[52]) regexs[53].sub(r'', strings[64], subcount[53]) regexs[39].sub(r'', strings[64], subcount[39]) regexs[54].sub(r'', strings[64], subcount[54]) regexs[40].sub(r'', '14', subcount[40]) regexs[10].sub(r'', '14', subcount[10]) regexs[51].sub(r'', '14', subcount[51]) regexs[52].sub(r'', '14', subcount[52]) regexs[53].sub(r'', '14', subcount[53]) regexs[39].sub(r'', '14', subcount[39]) regexs[54].sub(r'', '14', subcount[54]) regexs[40].sub(r'', '24', subcount[40]) regexs[10].sub(r'', '24', subcount[10]) regexs[51].sub(r'', '24', subcount[51]) regexs[52].sub(r'', '24', subcount[52]) regexs[53].sub(r'', '24', subcount[53]) regexs[39].sub(r'', '24', subcount[39]) regexs[54].sub(r'', '24', subcount[54]) regexs[40].sub(r'', strings[65], subcount[40]) regexs[10].sub(r'', strings[65], subcount[10]) regexs[51].sub(r'', strings[65], subcount[51]) regexs[52].sub(r'', strings[65], subcount[52]) regexs[53].sub(r'', strings[65], subcount[53]) regexs[39].sub(r'', strings[65], subcount[39]) regexs[54].sub(r'', strings[65], subcount[54]) regexs[40].sub(r'', strings[66], subcount[40]) regexs[10].sub(r'', strings[66], subcount[10]) regexs[51].sub(r'', strings[66], subcount[51]) regexs[52].sub(r'', strings[66], subcount[52]) regexs[53].sub(r'', strings[66], subcount[53]) regexs[39].sub(r'', strings[66], subcount[39]) regexs[54].sub(r'', strings[66], subcount[54]) regexs[40].sub(r'', '9.0', subcount[40]) regexs[10].sub(r'', '9.0', subcount[10]) regexs[51].sub(r'', '9.0', subcount[51]) regexs[52].sub(r'', '9.0', subcount[52]) regexs[53].sub(r'', '9.0', subcount[53]) regexs[39].sub(r'', '9.0', subcount[39]) regexs[54].sub(r'', '9.0', subcount[54]) regexs[40].sub(r'', '994k634', subcount[40]) regexs[10].sub(r'', '994k634', subcount[10]) regexs[51].sub(r'', '994k634', subcount[51]) regexs[52].sub(r'', '994k634', subcount[52]) regexs[53].sub(r'', '994k634', subcount[53]) regexs[39].sub(r'', '994k634', subcount[39]) regexs[54].sub(r'', '994k634', subcount[54]) regexs[40].sub(r'', '?zxg=ra-HF', subcount[40]) regexs[10].sub(r'', '?zxg=ra-HF', subcount[10]) regexs[51].sub(r'', '?zxg=ra-HF', subcount[51]) regexs[52].sub(r'', '?zxg=ra-HF', subcount[52]) regexs[53].sub(r'', '?zxg=ra-HF', subcount[53]) regexs[54].sub(r'', '?zxg=ra-HF', subcount[54]) regexs[25].sub(r'', 'PAA.pbz', subcount[25]) regexs[12].sub(r'', 'PAA.pbz', subcount[12]) regexs[39].sub(r'', 'PAA.pbz', subcount[39]) regexs[25].sub(r'', 'Qngr & Gvzr', subcount[25]) regexs[12].sub(r'', 'Qngr & Gvzr', subcount[12]) regexs[39].sub(r'', 'Qngr & Gvzr', subcount[39]) regexs[40].sub(r'', 'Frnepu Zvpebfbsg.pbz', subcount[40]) regexs[54].sub(r'', 'Frnepu Zvpebfbsg.pbz', subcount[54]) regexs[10].sub(r'', strings[67], subcount[10]) regexs[51].sub(r'', strings[67], subcount[51]) regexs[52].sub(r'', strings[67], subcount[52]) regexs[53].sub(r'', strings[67], subcount[53]) regexs[39].sub(r'', strings[67], subcount[39]) regexs[32].split(strings[68]) regexs[32].split(strings[69]) regexs[52].sub(r'', strings[70], subcount[52]) regexs[53].sub(r'', strings[70], subcount[53]) regexs[39].sub(r'', strings[70], subcount[39]) regexs[40].sub(r'', strings[71], subcount[40]) regexs[10].sub(r'', strings[71], subcount[10]) regexs[51].sub(r'', strings[71], subcount[51]) regexs[54].sub(r'', strings[71], subcount[54]) regexs[25].sub(r'', 'Jrngure', subcount[25]) regexs[12].sub(r'', 'Jrngure', subcount[12]) regexs[39].sub(r'', 'Jrngure', subcount[39]) regexs[25].sub(r'', 'LbhGhor', subcount[25]) regexs[12].sub(r'', 'LbhGhor', subcount[12]) regexs[39].sub(r'', 'LbhGhor', subcount[39]) regexs[33].sub(r'', strings[72], subcount[33]) re.sub(r'^erzbgr_vsenzr_', '', 'erzbgr_vsenzr_1', 1) regexs[40].sub(r'', strings[73], subcount[40]) regexs[10].sub(r'', strings[73], subcount[10]) regexs[51].sub(r'', strings[73], subcount[51]) regexs[52].sub(r'', strings[73], subcount[52]) regexs[53].sub(r'', strings[73], subcount[53]) regexs[39].sub(r'', strings[73], subcount[39]) regexs[54].sub(r'', strings[73], subcount[54]) regexs[40].sub(r'', strings[74], subcount[40]) regexs[10].sub(r'', strings[74], subcount[10]) regexs[51].sub(r'', strings[74], subcount[51]) regexs[52].sub(r'', strings[74], subcount[52]) regexs[53].sub(r'', strings[74], subcount[53]) regexs[39].sub(r'', strings[74], subcount[39]) regexs[54].sub(r'', strings[74], subcount[54]) re.sub(r'\-', '', 'lhv-h', 0) regexs[9].search(r'p') regexs[9].search(r'qz p') regexs[9].search(r'zbqynory') regexs[9].search(r'lhv-h svefg') regexs[8].search(r'144631658.0.10.1231365779') regexs[8].search( r'144631658.1231365779.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[8].search( r'144631658.1877536177953918500.1231365779.1231365779.1231365779.1') regexs[8].search(strings[75]) regexs[8].search(strings[76]) regexs[8].search( r'__hgzn=144631658.1877536177953918500.1231365779.1231365779.1231365779.1') regexs[8].search(r'__hgzo=144631658.0.10.1231365779') regexs[8].search( r'__hgzm=144631658.1231365779.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[34].search(strings[68]) regexs[34].search(strings[69]) re.search(r'^$', '') regexs[31].search(r'qr') re.search(r'^znk\d+$', '') re.search(r'^zva\d+$', '') re.search(r'^erfgber$', '') regexs[85].search(r'zbqobkva zbqobk_abcnqqvat ') regexs[85].search(r'zbqgvgyr') regexs[85].search(r'eaq_zbqobkva ') regexs[85].search(r'eaq_zbqgvgyr ') re.search(r'frpgvba\d+_pbagragf', 'obggbz_ani') def block11(): for i in range(2): regexs[18].sub(r'', ' .pybfr', subcount[18]) regexs[18].sub(r'', ' n.svryqOgaPnapry', subcount[18]) regexs[18].sub(r'', ' qg', subcount[18]) regexs[68].sub(r'', strings[77], subcount[68]) regexs[18].sub(r'', strings[77], subcount[18]) regexs[39].sub(r'', '', subcount[39]) re.sub(r'^', '', '', 1) regexs[86].split(r'') regexs[39].sub(r'', '*', subcount[39]) regexs[68].sub(r'', '*', subcount[68]) regexs[18].sub(r'', '*', subcount[18]) regexs[68].sub(r'', '.pybfr', subcount[68]) regexs[18].sub(r'', '.pybfr', subcount[18]) regexs[87].sub( r'', '//vzt.jro.qr/vij/FC/tzk_uc/fperra/${inyhr}?gf=${abj}', subcount[87]) regexs[88].sub( r'', '//vzt.jro.qr/vij/FC/tzk_uc/fperra/1024?gf=${abj}', subcount[88]) regexs[87].sub( r'', '//vzt.jro.qr/vij/FC/tzk_uc/jvafvmr/${inyhr}?gf=${abj}', subcount[87]) regexs[88].sub( r'', '//vzt.jro.qr/vij/FC/tzk_uc/jvafvmr/992/608?gf=${abj}', subcount[88]) regexs[30].sub(r'', '300k120', subcount[30]) regexs[30].sub(r'', '300k250', subcount[30]) regexs[30].sub(r'', '310k120', subcount[30]) regexs[30].sub(r'', '310k170', subcount[30]) regexs[30].sub(r'', '310k250', subcount[30]) re.sub(r'^.*\.(.*)\s.*$', '', '9.0 e115', 1) regexs[2].sub(r'', 'Nppbeqvba', subcount[2]) regexs[89].sub(r'', 'Nxghryy\x0a', subcount[89]) regexs[90].sub(r'', 'Nxghryy\x0a', subcount[90]) regexs[2].sub(r'', 'Nccyvpngvba', subcount[2]) regexs[89].sub(r'', 'Oyvpxchaxg\x0a', subcount[89]) regexs[90].sub(r'', 'Oyvpxchaxg\x0a', subcount[90]) regexs[89].sub(r'', 'Svanamra\x0a', subcount[89]) regexs[90].sub(r'', 'Svanamra\x0a', subcount[90]) regexs[89].sub(r'', 'Tnzrf\x0a', subcount[89]) regexs[90].sub(r'', 'Tnzrf\x0a', subcount[90]) regexs[89].sub(r'', 'Ubebfxbc\x0a', subcount[89]) regexs[90].sub(r'', 'Ubebfxbc\x0a', subcount[90]) regexs[89].sub(r'', 'Xvab\x0a', subcount[89]) regexs[90].sub(r'', 'Xvab\x0a', subcount[90]) regexs[2].sub(r'', 'Zbqhyrf', subcount[2]) regexs[89].sub(r'', 'Zhfvx\x0a', subcount[89]) regexs[90].sub(r'', 'Zhfvx\x0a', subcount[90]) regexs[89].sub(r'', 'Anpuevpugra\x0a', subcount[89]) regexs[90].sub(r'', 'Anpuevpugra\x0a', subcount[90]) regexs[2].sub(r'', 'Cuk', subcount[2]) regexs[70].split(r'ErdhrfgSvavfu') regexs[70].split(r'ErdhrfgSvavfu.NWNK.Cuk') regexs[89].sub(r'', 'Ebhgr\x0a', subcount[89]) regexs[90].sub(r'', 'Ebhgr\x0a', subcount[90]) regexs[32].split(strings[78]) regexs[32].split(strings[79]) regexs[32].split(strings[80]) regexs[32].split(strings[81]) regexs[89].sub(r'', 'Fcbeg\x0a', subcount[89]) regexs[90].sub(r'', 'Fcbeg\x0a', subcount[90]) regexs[89].sub(r'', 'GI-Fcbg\x0a', subcount[89]) regexs[90].sub(r'', 'GI-Fcbg\x0a', subcount[90]) regexs[89].sub(r'', 'Gbhe\x0a', subcount[89]) regexs[90].sub(r'', 'Gbhe\x0a', subcount[90]) regexs[89].sub(r'', 'Hagreunyghat\x0a', subcount[89]) regexs[90].sub(r'', 'Hagreunyghat\x0a', subcount[90]) regexs[89].sub(r'', 'Ivqrb\x0a', subcount[89]) regexs[90].sub(r'', 'Ivqrb\x0a', subcount[90]) regexs[89].sub(r'', 'Jrggre\x0a', subcount[89]) regexs[90].sub(r'', 'Jrggre\x0a', subcount[90]) regexs[68].sub(r'', strings[82], subcount[68]) regexs[18].sub(r'', strings[82], subcount[18]) regexs[68].sub(r'', strings[83], subcount[68]) regexs[18].sub(r'', strings[83], subcount[18]) regexs[68].sub(r'', strings[84], subcount[68]) regexs[18].sub(r'', strings[84], subcount[18]) regexs[30].sub(r'', 'nqiFreivprObk', subcount[30]) regexs[30].sub(r'', 'nqiFubccvatObk', subcount[30]) regexs[39].sub(r'', 'nwnk', subcount[39]) regexs[40].sub(r'', 'nxghryy', subcount[40]) regexs[41].sub(r'', 'nxghryy', subcount[41]) regexs[42].sub(r'', 'nxghryy', subcount[42]) regexs[43].sub(r'', 'nxghryy', subcount[43]) regexs[44].sub(r'', 'nxghryy', subcount[44]) regexs[45].sub(r'', 'nxghryy', subcount[45]) regexs[46].sub(r'', 'nxghryy', subcount[46]) regexs[47].sub(r'', 'nxghryy', subcount[47]) regexs[48].sub(r'', 'nxghryy', subcount[48]) regexs[40].sub(r'', strings[85], subcount[40]) regexs[41].sub(r'', strings[85], subcount[41]) regexs[42].sub(r'', strings[85], subcount[42]) regexs[43].sub(r'', strings[85], subcount[43]) regexs[44].sub(r'', strings[85], subcount[44]) regexs[45].sub(r'', strings[85], subcount[45]) regexs[46].sub(r'', strings[85], subcount[46]) regexs[47].sub(r'', strings[85], subcount[47]) regexs[48].sub(r'', strings[85], subcount[48]) regexs[29].sub(r'', 'pngrtbel', subcount[29]) regexs[30].sub(r'', 'pngrtbel', subcount[30]) regexs[39].sub(r'', 'pybfr', subcount[39]) regexs[39].sub(r'', 'qvi', subcount[39]) regexs[68].sub(r'', strings[86], subcount[68]) regexs[18].sub(r'', strings[86], subcount[18]) regexs[39].sub(r'', 'qg', subcount[39]) regexs[68].sub(r'', 'qg', subcount[68]) regexs[18].sub(r'', 'qg', subcount[18]) regexs[39].sub(r'', 'rzorq', subcount[39]) regexs[68].sub(r'', 'rzorq', subcount[68]) regexs[18].sub(r'', 'rzorq', subcount[18]) regexs[39].sub(r'', 'svryqOga', subcount[39]) regexs[39].sub(r'', 'svryqOgaPnapry', subcount[39]) regexs[20].split(r'svz_zlfcnpr_nccf-pnainf,svz_zlfcnpr_havgrq-fgngrf') regexs[40].sub(r'', 'svanamra', subcount[40]) regexs[41].sub(r'', 'svanamra', subcount[41]) regexs[42].sub(r'', 'svanamra', subcount[42]) regexs[43].sub(r'', 'svanamra', subcount[43]) regexs[44].sub(r'', 'svanamra', subcount[44]) regexs[45].sub(r'', 'svanamra', subcount[45]) regexs[46].sub(r'', 'svanamra', subcount[46]) regexs[47].sub(r'', 'svanamra', subcount[47]) regexs[48].sub(r'', 'svanamra', subcount[48]) regexs[70].split(r'sbphf') regexs[70].split(r'sbphf.gno sbphfva.gno') regexs[70].split(r'sbphfva') regexs[39].sub(r'', 'sbez', subcount[39]) regexs[68].sub(r'', 'sbez.nwnk', subcount[68]) regexs[18].sub(r'', 'sbez.nwnk', subcount[18]) regexs[40].sub(r'', 'tnzrf', subcount[40]) regexs[41].sub(r'', 'tnzrf', subcount[41]) regexs[42].sub(r'', 'tnzrf', subcount[42]) regexs[43].sub(r'', 'tnzrf', subcount[43]) regexs[44].sub(r'', 'tnzrf', subcount[44]) regexs[45].sub(r'', 'tnzrf', subcount[45]) regexs[46].sub(r'', 'tnzrf', subcount[46]) regexs[47].sub(r'', 'tnzrf', subcount[47]) regexs[48].sub(r'', 'tnzrf', subcount[48]) regexs[30].sub(r'', 'ubzrcntr', subcount[30]) regexs[40].sub(r'', 'ubebfxbc', subcount[40]) regexs[41].sub(r'', 'ubebfxbc', subcount[41]) regexs[42].sub(r'', 'ubebfxbc', subcount[42]) regexs[43].sub(r'', 'ubebfxbc', subcount[43]) regexs[44].sub(r'', 'ubebfxbc', subcount[44]) regexs[45].sub(r'', 'ubebfxbc', subcount[45]) regexs[46].sub(r'', 'ubebfxbc', subcount[46]) regexs[47].sub(r'', 'ubebfxbc', subcount[47]) regexs[48].sub(r'', 'ubebfxbc', subcount[48]) regexs[30].sub(r'', 'uc_cebzbobk_ugzy%2Puc_cebzbobk_vzt', subcount[30]) regexs[30].sub(r'', 'uc_erpgnatyr', subcount[30]) regexs[33].sub(r'', strings[87], subcount[33]) regexs[33].sub(r'', strings[88], subcount[33]) regexs[71].sub( r'', 'uggc://wf.hv-cbegny.qr/tzk/ubzr/wf/20080602/onfr.wf${4}${5}', subcount[71]) regexs[72].sub( r'', 'uggc://wf.hv-cbegny.qr/tzk/ubzr/wf/20080602/onfr.wf${5}', subcount[72]) regexs[71].sub( r'', 'uggc://wf.hv-cbegny.qr/tzk/ubzr/wf/20080602/qlaYvo.wf${4}${5}', subcount[71]) regexs[72].sub( r'', 'uggc://wf.hv-cbegny.qr/tzk/ubzr/wf/20080602/qlaYvo.wf${5}', subcount[72]) regexs[71].sub( r'', 'uggc://wf.hv-cbegny.qr/tzk/ubzr/wf/20080602/rssrpgYvo.wf${4}${5}', subcount[71]) regexs[72].sub( r'', 'uggc://wf.hv-cbegny.qr/tzk/ubzr/wf/20080602/rssrpgYvo.wf${5}', subcount[72]) regexs[73].sub(r'', strings[89], subcount[73]) regexs[69].sub( r'', 'uggc://zfacbegny.112.2b7.arg/o/ff/zfacbegnyubzr/1/U.7-cqi-2/f55023338617756?[NDO]&{1}&{2}&[NDR]', subcount[69]) regexs[23].sub(r'', strings[6], subcount[23]) regexs[40].sub(r'', 'xvab', subcount[40]) regexs[41].sub(r'', 'xvab', subcount[41]) regexs[42].sub(r'', 'xvab', subcount[42]) regexs[43].sub(r'', 'xvab', subcount[43]) regexs[44].sub(r'', 'xvab', subcount[44]) regexs[45].sub(r'', 'xvab', subcount[45]) regexs[46].sub(r'', 'xvab', subcount[46]) regexs[47].sub(r'', 'xvab', subcount[47]) regexs[48].sub(r'', 'xvab', subcount[48]) regexs[70].split(r'ybnq') regexs[18].sub( r'', 'zrqvnzbqgno lhv-anifrg lhv-anifrg-gbc', subcount[18]) regexs[39].sub(r'', 'zrgn', subcount[39]) regexs[68].sub(r'', strings[90], subcount[68]) regexs[18].sub(r'', strings[90], subcount[18]) regexs[70].split(r'zbhfrzbir') regexs[70].split(r'zbhfrzbir.gno') re.sub(r'^.*jroxvg\/(\d+(\.\d+)?).*$', '', strings[63], 1) regexs[40].sub(r'', 'zhfvx', subcount[40]) regexs[41].sub(r'', 'zhfvx', subcount[41]) regexs[42].sub(r'', 'zhfvx', subcount[42]) regexs[43].sub(r'', 'zhfvx', subcount[43]) regexs[44].sub(r'', 'zhfvx', subcount[44]) regexs[45].sub(r'', 'zhfvx', subcount[45]) regexs[46].sub(r'', 'zhfvx', subcount[46]) regexs[47].sub(r'', 'zhfvx', subcount[47]) regexs[48].sub(r'', 'zhfvx', subcount[48]) regexs[52].sub(r'', 'zlfcnpr_nccf_pnainf', subcount[52]) regexs[40].sub(r'', strings[91], subcount[40]) regexs[41].sub(r'', strings[91], subcount[41]) regexs[42].sub(r'', strings[91], subcount[42]) regexs[43].sub(r'', strings[91], subcount[43]) regexs[44].sub(r'', strings[91], subcount[44]) regexs[45].sub(r'', strings[91], subcount[45]) regexs[46].sub(r'', strings[91], subcount[46]) regexs[47].sub(r'', strings[91], subcount[47]) regexs[48].sub(r'', strings[91], subcount[48]) regexs[39].sub(r'', 'anzr', subcount[39]) # This prints something different to the V8 version # The V8 version is escaping different things in the string that # has the substitutions performed on it. # # V8 treats /\S/ like / + escaped S + / # Python treats it like / + \ + S + / re.sub(r'\b\w+\b', '', strings[92], 0) regexs[39].sub(r'', 'bow-nppbeqvba', subcount[39]) regexs[39].sub(r'', 'bowrpg', subcount[39]) regexs[68].sub(r'', 'bowrpg', subcount[68]) regexs[18].sub(r'', 'bowrpg', subcount[18]) regexs[29].sub(r'', 'cnenzf%2Rfglyrf', subcount[29]) regexs[30].sub(r'', 'cnenzf%2Rfglyrf', subcount[30]) regexs[30].sub(r'', 'cbchc', subcount[30]) regexs[40].sub(r'', 'ebhgr', subcount[40]) regexs[41].sub(r'', 'ebhgr', subcount[41]) regexs[42].sub(r'', 'ebhgr', subcount[42]) regexs[43].sub(r'', 'ebhgr', subcount[43]) regexs[44].sub(r'', 'ebhgr', subcount[44]) regexs[45].sub(r'', 'ebhgr', subcount[45]) regexs[46].sub(r'', 'ebhgr', subcount[46]) regexs[47].sub(r'', 'ebhgr', subcount[47]) regexs[48].sub(r'', 'ebhgr', subcount[48]) regexs[30].sub(r'', 'freivprobk_uc', subcount[30]) regexs[30].sub(r'', 'fubccvatobk_uc', subcount[30]) regexs[39].sub(r'', 'fubhgobk', subcount[39]) regexs[40].sub(r'', 'fcbeg', subcount[40]) regexs[41].sub(r'', 'fcbeg', subcount[41]) regexs[42].sub(r'', 'fcbeg', subcount[42]) regexs[43].sub(r'', 'fcbeg', subcount[43]) regexs[44].sub(r'', 'fcbeg', subcount[44]) regexs[45].sub(r'', 'fcbeg', subcount[45]) regexs[46].sub(r'', 'fcbeg', subcount[46]) regexs[47].sub(r'', 'fcbeg', subcount[47]) regexs[48].sub(r'', 'fcbeg', subcount[48]) regexs[40].sub(r'', 'gbhe', subcount[40]) regexs[41].sub(r'', 'gbhe', subcount[41]) regexs[42].sub(r'', 'gbhe', subcount[42]) regexs[43].sub(r'', 'gbhe', subcount[43]) regexs[44].sub(r'', 'gbhe', subcount[44]) regexs[45].sub(r'', 'gbhe', subcount[45]) regexs[46].sub(r'', 'gbhe', subcount[46]) regexs[47].sub(r'', 'gbhe', subcount[47]) regexs[48].sub(r'', 'gbhe', subcount[48]) regexs[40].sub(r'', 'gi-fcbg', subcount[40]) regexs[41].sub(r'', 'gi-fcbg', subcount[41]) regexs[42].sub(r'', 'gi-fcbg', subcount[42]) regexs[43].sub(r'', 'gi-fcbg', subcount[43]) regexs[44].sub(r'', 'gi-fcbg', subcount[44]) regexs[45].sub(r'', 'gi-fcbg', subcount[45]) regexs[46].sub(r'', 'gi-fcbg', subcount[46]) regexs[47].sub(r'', 'gi-fcbg', subcount[47]) regexs[48].sub(r'', 'gi-fcbg', subcount[48]) regexs[39].sub(r'', 'glcr', subcount[39]) re.sub(r'\/', '', 'haqrsvarq', 0) regexs[40].sub(r'', strings[93], subcount[40]) regexs[41].sub(r'', strings[93], subcount[41]) regexs[42].sub(r'', strings[93], subcount[42]) regexs[43].sub(r'', strings[93], subcount[43]) regexs[44].sub(r'', strings[93], subcount[44]) regexs[45].sub(r'', strings[93], subcount[45]) regexs[46].sub(r'', strings[93], subcount[46]) regexs[47].sub(r'', strings[93], subcount[47]) regexs[48].sub(r'', strings[93], subcount[48]) regexs[40].sub(r'', 'ivqrb', subcount[40]) regexs[41].sub(r'', 'ivqrb', subcount[41]) regexs[42].sub(r'', 'ivqrb', subcount[42]) regexs[43].sub(r'', 'ivqrb', subcount[43]) regexs[44].sub(r'', 'ivqrb', subcount[44]) regexs[45].sub(r'', 'ivqrb', subcount[45]) regexs[46].sub(r'', 'ivqrb', subcount[46]) regexs[47].sub(r'', 'ivqrb', subcount[47]) regexs[48].sub(r'', 'ivqrb', subcount[48]) regexs[86].split(r'ivfvgf=1') regexs[40].sub(r'', 'jrggre', subcount[40]) regexs[41].sub(r'', 'jrggre', subcount[41]) regexs[42].sub(r'', 'jrggre', subcount[42]) regexs[43].sub(r'', 'jrggre', subcount[43]) regexs[44].sub(r'', 'jrggre', subcount[44]) regexs[45].sub(r'', 'jrggre', subcount[45]) regexs[46].sub(r'', 'jrggre', subcount[46]) regexs[47].sub(r'', 'jrggre', subcount[47]) regexs[48].sub(r'', 'jrggre', subcount[48]) re.search(r'#[a-z0-9]+$', 'uggc://jjj.fpuhryreim.arg/Qrsnhyg', re.IGNORECASE) regexs[66].search(r'fryrpgrq') re.search(r'(?:^|\s+)lhv-ani(?:\s+|$)', 'sff lhv-ani') re.search(r'(?:^|\s+)lhv-anifrg(?:\s+|$)', 'zrqvnzbqgno lhv-anifrg') re.search(r'(?:^|\s+)lhv-anifrg-gbc(?:\s+|$)', 'zrqvnzbqgno lhv-anifrg') regexs[91].search(r'GnoThvq') regexs[91].search(r'thvq') re.search(r'(pbzcngvoyr|jroxvg)', strings[63]) re.search(r'.+(?:ei|vg|en|vr)[\/: ]([\d.]+)', strings[63]) regexs[8].search(r'144631658.0.10.1231365869') regexs[8].search(r'144631658.0.10.1231367054') regexs[8].search( r'144631658.1231365869.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[8].search( r'144631658.1231367054.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[8].search( r'144631658.1670816052019209000.1231365869.1231365869.1231365869.1') regexs[8].search( r'144631658.1796080716621419500.1231367054.1231367054.1231367054.1') regexs[8].search(strings[94]) regexs[8].search(strings[95]) regexs[8].search(strings[96]) regexs[8].search(strings[97]) regexs[8].search( r'__hgzn=144631658.1670816052019209000.1231365869.1231365869.1231365869.1') regexs[8].search( r'__hgzn=144631658.1796080716621419500.1231367054.1231367054.1231367054.1') regexs[8].search(r'__hgzo=144631658.0.10.1231365869') regexs[8].search(r'__hgzo=144631658.0.10.1231367054') regexs[8].search( r'__hgzm=144631658.1231365869.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[8].search( r'__hgzm=144631658.1231367054.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[34].search(strings[78]) regexs[34].search(strings[79]) regexs[34].search(strings[81]) regexs[74].search(strings[77]) regexs[74].search(r'*') regexs[74].search(strings[82]) regexs[74].search(strings[83]) regexs[74].search(strings[86]) regexs[74].search(r'rzorq') regexs[74].search(r'sbez.nwnk') regexs[74].search(strings[90]) regexs[74].search(r'bowrpg') re.search(r'\/onfr.wf(\?.+)?$', '/uggc://wf.hv-cbegny.qr/tzk/ubzr/wf/20080602/onfr.wf') regexs[28].search(r'uvag ynfgUvag ynfg') regexs[75].search(r'') regexs[76].search(r'') regexs[77].search(r'') regexs[78].search(r'') regexs[80].search(strings[77]) regexs[80].search(r'*') regexs[80].search(r'.pybfr') regexs[80].search(strings[82]) regexs[80].search(strings[83]) regexs[80].search(strings[84]) regexs[80].search(strings[86]) regexs[80].search(r'qg') regexs[80].search(r'rzorq') regexs[80].search(r'sbez.nwnk') regexs[80].search(strings[90]) regexs[80].search(r'bowrpg') regexs[61].search(r'qlaYvo.wf') regexs[61].search(r'rssrpgYvo.wf') regexs[61].search(r'uggc://jjj.tzk.arg/qr/?fgnghf=uvajrvf') regexs[92].search(r' .pybfr') regexs[92].search(r' n.svryqOgaPnapry') regexs[92].search(r' qg') regexs[92].search(strings[48]) regexs[92].search(r'.nwnk') regexs[92].search(r'.svryqOga,n.svryqOgaPnapry') regexs[92].search(r'.svryqOgaPnapry') regexs[92].search(r'.bow-nppbeqvba qg') regexs[68].search(strings[77]) regexs[68].search(r'*') regexs[68].search(r'.pybfr') regexs[68].search(strings[82]) regexs[68].search(strings[83]) regexs[68].search(strings[84]) regexs[68].search(strings[86]) regexs[68].search(r'qg') regexs[68].search(r'rzorq') regexs[68].search(r'sbez.nwnk') regexs[68].search(strings[90]) regexs[68].search(r'bowrpg') regexs[93].search(r' .pybfr') regexs[93].search(r' n.svryqOgaPnapry') regexs[93].search(r' qg') regexs[93].search(strings[48]) regexs[93].search(r'.nwnk') regexs[93].search(r'.svryqOga,n.svryqOgaPnapry') regexs[93].search(r'.svryqOgaPnapry') regexs[93].search(r'.bow-nppbeqvba qg') regexs[81].search(strings[77]) regexs[81].search(r'*') regexs[81].search(strings[48]) regexs[81].search(r'.pybfr') regexs[81].search(strings[82]) regexs[81].search(strings[83]) regexs[81].search(strings[84]) regexs[81].search(strings[86]) regexs[81].search(r'qg') regexs[81].search(r'rzorq') regexs[81].search(r'sbez.nwnk') regexs[81].search(strings[90]) regexs[81].search(r'bowrpg') regexs[94].search(r' .pybfr') regexs[94].search(r' n.svryqOgaPnapry') regexs[94].search(r' qg') regexs[94].search(strings[48]) regexs[94].search(r'.nwnk') regexs[94].search(r'.svryqOga,n.svryqOgaPnapry') regexs[94].search(r'.svryqOgaPnapry') regexs[94].search(r'.bow-nppbeqvba qg') regexs[94].search(r'[anzr=nwnkHey]') regexs[94].search(strings[82]) regexs[31].search(r'rf') regexs[31].search(r'wn') regexs[82].search(strings[77]) regexs[82].search(r'*') regexs[82].search(strings[48]) regexs[82].search(r'.pybfr') regexs[82].search(strings[82]) regexs[82].search(strings[83]) regexs[82].search(strings[84]) regexs[82].search(strings[86]) regexs[82].search(r'qg') regexs[82].search(r'rzorq') regexs[82].search(r'sbez.nwnk') regexs[82].search(strings[90]) regexs[82].search(r'bowrpg') regexs[83].search(strings[98]) regexs[83].search(r'shapgvba sbphf() { [angvir pbqr] }') regexs[62].search(r'#Ybtva') regexs[62].search(r'#Ybtva_cnffjbeq') regexs[62].search(strings[77]) regexs[62].search(r'#fubhgobkWf') regexs[62].search(r'#fubhgobkWfReebe') regexs[62].search(r'#fubhgobkWfFhpprff') regexs[62].search(r'*') regexs[62].search(strings[82]) regexs[62].search(strings[83]) regexs[62].search(strings[86]) regexs[62].search(r'rzorq') regexs[62].search(r'sbez.nwnk') regexs[62].search(strings[90]) regexs[62].search(r'bowrpg') regexs[49].search(r'pbagrag') regexs[24].search(strings[6]) re.search(r'xbadhrebe', strings[63]) re.search(r'znp', 'jva32') re.search(r'zbmvyyn', strings[63]) re.search(r'zfvr', strings[63]) re.search(r'ag\s5\.1', strings[63]) re.search(r'bcren', strings[63]) re.search(r'fnsnev', strings[63]) re.search(r'jva', 'jva32') re.search(r'jvaqbjf', strings[63]) def bench_regex_v8(loops): t0 = pyperf.perf_counter() for loops in range(loops): block0() block1() block2() block3() block4() block5() block6() block7() block8() block9() block10() block11() return pyperf.perf_counter() - t0 if __name__ == '__main__': runner = pyperf.Runner() runner.metadata['description'] = ("Test the performance of regexps " "using V8's benchmarks") runner.bench_time_func('regex_v8', bench_regex_v8) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_regex_compile/pyproject.toml000066400000000000000000000003701514162565100316710ustar00rootroot00000000000000[project] name = "pyperformance_bm_regex_compile" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "regex_compile" tags = "regex" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_regex_compile/run_benchmark.py000066400000000000000000000033621514162565100321510ustar00rootroot00000000000000 """Benchmark how quickly Python's regex implementation can compile regexes. We bring in all the regexes used by the other regex benchmarks, capture them by stubbing out the re module, then compile those regexes repeatedly. We muck with the re module's caching to force it to recompile every regex we give it. """ # Python imports import re # Local imports import pyperf def capture_regexes(): regexes = [] real_compile = re.compile real_search = re.search real_sub = re.sub def capture_compile(regex, flags=0): regexes.append((regex, flags)) return real_compile(regex, flags) def capture_search(regex, target, flags=0): regexes.append((regex, flags)) return real_search(regex, target, flags) def capture_sub(regex, *args): regexes.append((regex, 0)) return real_sub(regex, *args) re.compile = capture_compile re.search = capture_search re.sub = capture_sub try: import bm_regex_effbot bm_regex_effbot.bench_regex_effbot(1) import bm_regex_v8 bm_regex_v8.bench_regex_v8(1) finally: re.compile = real_compile re.search = real_search re.sub = real_sub return regexes def bench_regex_compile(loops, regexes): range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: for regex, flags in regexes: re.purge() # ignore result (compiled regex) re.compile(regex, flags) return pyperf.perf_counter() - t0 if __name__ == "__main__": runner = pyperf.Runner() runner.metadata['description'] = "Test regex compilation performance" regexes = capture_regexes() runner.bench_time_func('regex_compile', bench_regex_compile, regexes) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_regex_dna/000077500000000000000000000000001514162565100260675ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_regex_dna/pyproject.toml000066400000000000000000000003601514162565100310020ustar00rootroot00000000000000[project] name = "pyperformance_bm_regex_dna" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "regex_dna" tags = "regex" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_regex_dna/run_benchmark.py000066400000000000000000000151131514162565100312600ustar00rootroot00000000000000#!/usr/bin/env python """ The Computer Language Benchmarks Game http://benchmarksgame.alioth.debian.org/ regex-dna Python 3 #5 program: contributed by Dominique Wahli 2to3 modified by Justin Peel fasta Python 3 #3 program: modified by Ian Osgood modified again by Heinrich Acker modified by Justin Peel Modified by Christopher Sean Forgeron """ import bisect import re import pyperf DEFAULT_INIT_LEN = 100000 DEFAULT_RNG_SEED = 42 ALU = ('GGCCGGGCGCGGTGGCTCACGCCTGTAATCCCAGCACTTTGG' 'GAGGCCGAGGCGGGCGGATCACCTGAGGTCAGGAGTTCGAGA' 'CCAGCCTGGCCAACATGGTGAAACCCCGTCTCTACTAAAAAT' 'ACAAAAATTAGCCGGGCGTGGTGGCGCGCGCCTGTAATCCCA' 'GCTACTCGGGAGGCTGAGGCAGGAGAATCGCTTGAACCCGGG' 'AGGCGGAGGTTGCAGTGAGCCGAGATCGCGCCACTGCACTCC' 'AGCCTGGGCGACAGAGCGAGACTCCGTCTCAAAAA') IUB = list(zip('acgtBDHKMNRSVWY', [0.27, 0.12, 0.12, 0.27] + [0.02] * 11)) HOMOSAPIENS = [ ('a', 0.3029549426680), ('c', 0.1979883004921), ('g', 0.1975473066391), ('t', 0.3015094502008), ] def make_cumulative(table): P = [] C = [] prob = 0. for char, p in table: prob += p P += [prob] C += [ord(char)] return (P, C) def repeat_fasta(src, n, nprint): width = 60 is_trailing_line = False count_modifier = 0.0 len_of_src = len(src) ss = src + src + src[:n % len_of_src] # CSF - It's faster to work with a bytearray than a string s = bytearray(ss, encoding='utf8') if n % width: # We don't end on a 60 char wide line is_trailing_line = True count_modifier = 1.0 # CSF - Here we are stuck with using an int instead of a float for the loop, # but testing showed it still to be faster than a for loop count = 0 end = (n / float(width)) - count_modifier while count < end: i = count * 60 % len_of_src nprint(s[i:i + 60] + b'\n') count += 1 if is_trailing_line: nprint(s[-(n % width):] + b'\n') def random_fasta(table, n, seed, nprint): width = 60 r = range(width) bb = bisect.bisect # If we don't have a multiple of the width, then we will have a trailing # line, which needs a slightly different approach is_trailing_line = False count_modifier = 0.0 line = bytearray(width + 1) # Width of 60 + 1 for the \n char probs, chars = make_cumulative(table) # pRNG Vars im = 139968.0 seed = float(seed) if n % width: # We don't end on a 60 char wide line is_trailing_line = True count_modifier = 1.0 # CSF - Loops with a high iteration count run faster as a while/float loop. count = 0.0 end = (n / float(width)) - count_modifier while count < end: # CSF - Low iteration count loops may run faster as a for loop. for i in r: # CSF - Python is faster for all float math than it is for int, on my # machine at least. seed = (seed * 3877.0 + 29573.0) % 139968.0 # CSF - While real values, not variables are faster for most things, on my # machine, it's faster to have 'im' already in a var line[i] = chars[bb(probs, seed / im)] line[60] = 10 # End of Line nprint(line) count += 1.0 if is_trailing_line: for i in range(n % width): seed = (seed * 3877.0 + 29573.0) % 139968.0 line[i] = chars[bb(probs, seed / im)] nprint(line[:i + 1] + b"\n") return seed def init_benchmarks(n, rng_seed): result = bytearray() nprint = result.extend nprint(b'>ONE Homo sapiens alu\n') repeat_fasta(ALU, n * 2, nprint=nprint) # We need to keep track of the state of 'seed' so we pass it in, and return # it back so our output can pass the diff test nprint(b'>TWO IUB ambiguity codes\n') seed = random_fasta(IUB, n * 3, seed=rng_seed, nprint=nprint) nprint(b'>THREE Homo sapiens frequency\n') random_fasta(HOMOSAPIENS, n * 5, seed, nprint=nprint) return bytes(result) VARIANTS = ( b'agggtaaa|tttaccct', b'[cgt]gggtaaa|tttaccc[acg]', b'a[act]ggtaaa|tttacc[agt]t', b'ag[act]gtaaa|tttac[agt]ct', b'agg[act]taaa|ttta[agt]cct', b'aggg[acg]aaa|ttt[cgt]ccct', b'agggt[cgt]aa|tt[acg]accct', b'agggta[cgt]a|t[acg]taccct', b'agggtaa[cgt]|[acg]ttaccct', ) SUBST = ( (b'B', b'(c|g|t)'), (b'D', b'(a|g|t)'), (b'H', b'(a|c|t)'), (b'K', b'(g|t)'), (b'M', b'(a|c)'), (b'N', b'(a|c|g|t)'), (b'R', b'(a|g)'), (b'S', b'(c|g)'), (b'V', b'(a|c|g)'), (b'W', b'(a|t)'), (b'Y', b'(c|t)'), ) def run_benchmarks(seq): ilen = len(seq) seq = re.sub(b'>.*\n|\n', b'', seq) clen = len(seq) results = [] for f in VARIANTS: results.append(len(re.findall(f, seq))) for f, r in SUBST: seq = re.sub(f, r, seq) return results, ilen, clen, len(seq) def bench_regex_dna(loops, seq, expected_res): range_it = range(loops) t0 = pyperf.perf_counter() for i in range_it: res = run_benchmarks(seq) dt = pyperf.perf_counter() - t0 if (expected_res is not None) and (res != expected_res): raise Exception("run_benchmarks() error") return dt def add_cmdline_args(cmd, args): cmd.extend(("--fasta-length", str(args.fasta_length), "--rng-seed", str(args.rng_seed))) if __name__ == '__main__': runner = pyperf.Runner(add_cmdline_args=add_cmdline_args) runner.metadata['description'] = ("Test the performance of regexps " "using benchmarks from " "The Computer Language Benchmarks Game.") cmd = runner.argparser cmd.add_argument("--fasta-length", type=int, default=DEFAULT_INIT_LEN, help="Length of the fasta sequence " "(default: %s)" % DEFAULT_INIT_LEN) cmd.add_argument("--rng-seed", type=int, default=DEFAULT_RNG_SEED, help="Seed of the random number generator " "(default: %s)" % DEFAULT_RNG_SEED) args = runner.parse_args() if args.fasta_length == 100000: expected_len = 1016745 expected_res = ([6, 26, 86, 58, 113, 31, 31, 32, 43], 1016745, 1000000, 1336326) else: expected_len = None expected_res = None runner.metadata['regex_dna_fasta_len'] = args.fasta_length runner.metadata['regex_dna_rng_seed'] = args.rng_seed seq = init_benchmarks(args.fasta_length, args.rng_seed) if (expected_len is not None) and (len(seq) != expected_len): raise Exception("init_benchmarks() error") runner.bench_time_func('regex_dna', bench_regex_dna, seq, expected_res) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_regex_effbot/000077500000000000000000000000001514162565100265725ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_regex_effbot/pyproject.toml000066400000000000000000000003661514162565100315130ustar00rootroot00000000000000[project] name = "pyperformance_bm_regex_effbot" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "regex_effbot" tags = "regex" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_regex_effbot/run_benchmark.py000066400000000000000000000123151514162565100317640ustar00rootroot00000000000000 """Benchmarks for Python's regex engine. These are some of the original benchmarks used to tune Python's regex engine in 2000 written by Fredrik Lundh. Retreived from http://mail.python.org/pipermail/python-dev/2000-August/007797.html and integrated into Unladen Swallow's pyperf.py in 2009 by David Laing. These benchmarks are of interest since they helped to guide the original optimization of the sre engine, and we shouldn't necessarily ignore them just because they're "old". """ # Python imports import re # Local imports import pyperf USE_BYTES = False def re_compile(s): if USE_BYTES: return re.compile(s.encode('latin1')) else: return re.compile(s) # These are the regular expressions to be tested. These sync up, # index-for-index with the list of strings generated by gen_string_table() # below. def gen_regex_table(): return [ re_compile('Python|Perl'), re_compile('Python|Perl'), re_compile('(Python|Perl)'), re_compile('(?:Python|Perl)'), re_compile('Python'), re_compile('Python'), re_compile('.*Python'), re_compile('.*Python.*'), re_compile('.*(Python)'), re_compile('.*(?:Python)'), re_compile('Python|Perl|Tcl'), re_compile('Python|Perl|Tcl'), re_compile('(Python|Perl|Tcl)'), re_compile('(?:Python|Perl|Tcl)'), re_compile('(Python)\\1'), re_compile('(Python)\\1'), re_compile('([0a-z][a-z0-9]*,)+'), re_compile('(?:[0a-z][a-z0-9]*,)+'), re_compile('([a-z][a-z0-9]*,)+'), re_compile('(?:[a-z][a-z0-9]*,)+'), re_compile('.*P.*y.*t.*h.*o.*n.*')] def gen_string_table(n): """Generates the list of strings that will be used in the benchmarks. All strings have repeated prefixes and suffices, and n specifies the number of repetitions. """ strings = [] def append(s): if USE_BYTES: strings.append(s.encode('latin1')) else: strings.append(s) append('-' * n + 'Perl' + '-' * n) append('P' * n + 'Perl' + 'P' * n) append('-' * n + 'Perl' + '-' * n) append('-' * n + 'Perl' + '-' * n) append('-' * n + 'Python' + '-' * n) append('P' * n + 'Python' + 'P' * n) append('-' * n + 'Python' + '-' * n) append('-' * n + 'Python' + '-' * n) append('-' * n + 'Python' + '-' * n) append('-' * n + 'Python' + '-' * n) append('-' * n + 'Perl' + '-' * n) append('P' * n + 'Perl' + 'P' * n) append('-' * n + 'Perl' + '-' * n) append('-' * n + 'Perl' + '-' * n) append('-' * n + 'PythonPython' + '-' * n) append('P' * n + 'PythonPython' + 'P' * n) append('-' * n + 'a5,b7,c9,' + '-' * n) append('-' * n + 'a5,b7,c9,' + '-' * n) append('-' * n + 'a5,b7,c9,' + '-' * n) append('-' * n + 'a5,b7,c9,' + '-' * n) append('-' * n + 'Python' + '-' * n) return strings def init_benchmarks(n_values=None): """Initialize the strings we'll run the regexes against. The strings used in the benchmark are prefixed and suffixed by strings that are repeated n times. The sequence n_values contains the values for n. If n_values is None the values of n from the original benchmark are used. The generated list of strings is cached in the string_tables variable, which is indexed by n. Returns: A list of string prefix/suffix lengths. """ if n_values is None: n_values = (0, 5, 50, 250, 1000, 5000, 10000) string_tables = {n: gen_string_table(n) for n in n_values} regexs = gen_regex_table() data = [] for n in n_values: for id in range(len(regexs)): regex = regexs[id] string = string_tables[n][id] data.append((regex, string)) return data def bench_regex_effbot(loops): if bench_regex_effbot.data is None: bench_regex_effbot.data = init_benchmarks() data = bench_regex_effbot.data range_it = range(loops) search = re.search t0 = pyperf.perf_counter() for _ in range_it: # Runs all of the benchmarks for a given value of n. for regex, string in data: # search 10 times search(regex, string) search(regex, string) search(regex, string) search(regex, string) search(regex, string) search(regex, string) search(regex, string) search(regex, string) search(regex, string) search(regex, string) return pyperf.perf_counter() - t0 # cached data, generated at the first call bench_regex_effbot.data = None def add_cmdline_args(cmd, args): if args.force_bytes: cmd.append("--force_bytes") if __name__ == '__main__': runner = pyperf.Runner(add_cmdline_args=add_cmdline_args) runner.metadata['description'] = ("Test the performance of regexps " "using Fredik Lundh's benchmarks.") runner.argparser.add_argument("-B", "--force_bytes", action="store_true", help="test bytes regexps") options = runner.parse_args() if options.force_bytes: USE_BYTES = True runner.bench_time_func('regex_effbot', bench_regex_effbot, inner_loops=10) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_regex_v8/000077500000000000000000000000001514162565100256625ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_regex_v8/pyproject.toml000066400000000000000000000003561514162565100306020ustar00rootroot00000000000000[project] name = "pyperformance_bm_regex_v8" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "regex_v8" tags = "regex" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_regex_v8/run_benchmark.py000066400000000000000000003763121514162565100310660ustar00rootroot00000000000000# Copyright 2009 the V8 project authors. All rights reserved. # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are # met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above # copyright notice, this list of conditions and the following # disclaimer in the documentation and/or other materials provided # with the distribution. # * Neither the name of Google Inc. nor the names of its # contributors may be used to endorse or promote products derived # from this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR # A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT # OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, # SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT # LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, # DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY # THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. # Automatically generated on 2009-01-30. # This benchmark is generated by loading 50 of the most popular pages # on the web and logging all regexp operations performed. Each # operation is given a weight that is calculated from an estimate of # the popularity of the pages where it occurs and the number of times # it is executed while loading each page. Finally the literal # letters in the data are encoded using ROT13 in a way that does not # affect how the regexps match their input. # Ported to Python for Unladen Swallow. The original JS version can be found at # https://github.com/v8/v8/blob/master/benchmarks/regexp.js, r1243. # Python imports import re # Third party imports import pyperf # The precompiled regexs that were in vars in the V8 code, split into # tuples of (regex, flags). compiled_regex_strings = [ (r'^ba', ''), (r'(((\w+):\/\/)([^\/:]*)(:(\d+))?)?([^#?]*)(\?([^#]*))?(#(.*))?', ''), (r'^\s*|\s*$', 'g'), (r'\bQBZPbageby_cynprubyqre\b', ''), (r',', ''), (r'\bQBZPbageby_cynprubyqre\b', 'g'), (r'^[\s\xa0]+|[\s\xa0]+$', 'g'), (r'(\d*)(\D*)', 'g'), (r'=', ''), (r'(^|\s)lhv\-h(\s|$)', ''), (r'\#', 'g'), (r'\.', 'g'), (r'\'', 'g'), (r'\?[\w\W]*(sevraqvq|punaaryvq|tebhcvq)=([^\&\?#]*)', 'i'), (r'\s+', 'g'), (r'^\s*(\S*(\s+\S+)*)\s*$', ''), (r'(-[a-z])', 'i'), (r'(^|[^\\])\"\\\/Qngr\((-?[0-9]+)\)\\\/\"', 'g'), (r'^\s+|\s+$', 'g'), (r'(?:^|\s+)ba(?:\s+|$)', ''), (r'[+, ]', ''), (r'ybnqrq|pbzcyrgr', ''), (r'\bso_zrah\b', ''), (r'^(?:(?:[^:\/?#]+):)?(?:\/\/(?:[^\/?#]*))?([^?#]*)(?:\?([^#]*))?(?:#(.*))?', ''), (r'uggcf?:\/\/([^\/]+\.)?snprobbx\.pbz\/', ''), (r'"', 'g'), (r'^([^?#]+)(?:\?([^#]*))?(#.*)?', ''), (r'-\D', 'g'), (r'\bnpgvingr\b', ''), (r'%2R', 'gi'), (r'%2S', 'gi'), (r'^(mu-(PA|GJ)|wn|xb)$', ''), (r'\s?;\s?', ''), (r'%\w?$', ''), (r'TNQP=([^;]*)', 'i'), (r'[<>]', 'g'), (r'uers|fep|fryrpgrq', ''), (r'\s*([+>~\s])\s*([a-zA-Z#.*:\[])', 'g'), (r'^(\w+|\*)$', ''), (r'\\\\', 'g'), (r' ', 'g'), (r'\/\xc4\/t', ''), (r'\/\xd6\/t', ''), (r'\/\xdc\/t', ''), (r'\/\xdf\/t', ''), (r'\/\xe4\/t', ''), (r'\/\xf6\/t', ''), (r'\/\xfc\/t', ''), (r'\W', 'g'), (r'uers|fep|fglyr', ''), (r'(?:^|\s+)fryrpgrq(?:\s+|$)', ''), (r'\&', 'g'), (r'\+', 'g'), (r'\?', 'g'), (r'\t', 'g'), (r'(\$\{nqiHey\})|(\$nqiHey\b)', 'g'), (r'(\$\{cngu\})|(\$cngu\b)', 'g'), (r'##yv4##', 'gi'), (r'##yv16##', 'gi'), (r'##yv19##', 'gi'), (r'(?:^|\s+)bss(?:\s+|$)', ''), (r'^(([^:\/?#]+):)?(\/\/([^\/?#]*))?([^?#]*)(\?([^#]*))?(#(.*))?$', ''), (r'^[^<]*(<(.|\s)+>)[^>]*$|^#(\w+)$', ''), (r'\{0\}', 'g'), (r'\b[a-z]', 'g'), (r'^uggc:\/\/', ''), (r'(?:^|\s+)qvfnoyrq(?:\s+|$)', ''), (r'zrah_byq', 'g'), (r'^([#.]?)((?:[\w' + '\u0128-\uffff' + r'*_-]|\\.)*)', ''), (r'\{1\}', 'g'), (r'\s+', ''), (r'(\$\{4\})|(\$4\b)', 'g'), (r'(\$\{5\})|(\$5\b)', 'g'), (r'\{2\}', 'g'), (r'[^+>] [^+>]', ''), (r'\bucpyv\s*=\s*([^;]*)', 'i'), (r'\bucuvqr\s*=\s*([^;]*)', 'i'), (r'\bucfie\s*=\s*([^;]*)', 'i'), (r'\bhfucjrn\s*=\s*([^;]*)', 'i'), (r'\bmvc\s*=\s*([^;]*)', 'i'), (r'^((?:[\w' + '\u0128-\uffff' + r'*_-]|\\.)+)(#)((?:[\w' + '\u0128-\uffff' + r'*_-]|\\.)+)', ''), (r'^([>+~])\s*(\w*)', 'i'), (r'^>\s*((?:[\w' + '\u0128-\uffff' + r'*_-]|\\.)+)', ''), (r'^[\s[]?shapgvba', ''), (r'v\/g.tvs#(.*)', 'i'), (r'eaq_zbqobkva', ''), (r';\s*', ''), (r'(\$\{inyhr\})|(\$inyhr\b)', 'g'), (r'(\$\{abj\})|(\$abj\b)', 'g'), (r'\s+$', ''), (r'^\s+', ''), (r'(\\\"|\x00-|\x1f|\x7f-|\x9f|' + '\u00ad|\u0600-|\u0604|\u070f|\u17b4|\u17b5|\u200c-|\u200f|\u2028-|\u202f|\u2060-|\u206f|\ufeff|\ufff0-|\uffff' + r')', 'g'), (r'^(:)([\w-]+)\("?\'?(.*?(\(.*?\))?[^(]*?)"?\'?\)', ''), (r'^([:.#]*)((?:[\w' + '\u0128-\uffff' + r'*_-]|\\.)+)', ''), (r'^(\[) *@?([\w-]+) *([!*$^~=]*) *(\'?"?)(.*?)\4 *\]', '')] # The V8 javascript engine only does one replacement unless the regexp has # the 'g' flag. Python's sub has count = 1 to do 1 replacement and count = 0 # to replace all matches. We set this up here. regexs = [] subcount = [] for s in compiled_regex_strings: if 'g' in s[1]: subcount.append(0) else: subcount.append(1) if 'i' in s[1]: regexs.append(re.compile(s[0], re.IGNORECASE | re.UNICODE)) else: regexs.append(re.compile(s[0], re.UNICODE)) # The strings that were in vars in the V8 benchmark strings = [ r'Zbmvyyn/5.0 (Jvaqbjf; H; Jvaqbjf AG 5.1; ra-HF) NccyrJroXvg/528.9 (XUGZY, yvxr Trpxb) Puebzr/2.0.157.0 Fnsnev/528.9', r'Fubpxjnir Synfu 9.0 e115', 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__hgzm=144631658.1231365869.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar); __hgzn=144631658.1670816052019209000.1231365869.1231365869.1231365869.1; __hgzo=144631658.0.10.1231365869; __hgzp=144631658; ZFPhygher=VC=74.125.75.1&VCPhygher=ra-HF&CersreerqPhygher=ra-HF&Pbhagel=IIZ%3Q&SbeprqRkcvengvba=633669341278771470&gvzrMbar=-8&HFEYBP=DKWyLHAiMTH9AwHjWxAcqUx9GJ91oaEunJ4tIzyyqlMQo3IhqUW5D29xMG1IHlMQo3IhqUW5GzSgMG1Iozy0MJDtH3EuqTImWxEgLHAiMTH9BQN3WxkuqTy0qJEyCGZ3YwDkBGVzGT9hM2y0qJEyCF0kZwVhZQH3APMDo3A0LJkQo2EyCGx0ZQDmWyWyM2yiox5uoJH9D0R%3Q', r'FrffvbaQQS2=9995p6rp12rrnr893334ro7nq70o7p64p69rqn844prs1473; ZFPhygher=VC=74.125.75.1&VCPhygher=ra-HF&CersreerqPhygher=ra-HF&CersreerqPhygherCraqvat=&Pbhagel=IIZ=&SbeprqRkcvengvba=633669350559478880&gvzrMbar=0&HFEYBP=DKWyLHAiMTH9AwHjWxAcqUx9GJ91oaEunJ4tIzyyqlMQo3IhqUW5D29xMG1IHlMQo3IhqUW5GzSgMG1Iozy0MJDtH3EuqTImWxEgLHAiMTH9BQN3WxkuqTy0qJEyCGZ3YwDkBGVzGT9hM2y0qJEyCF0kZwVhZQH3APMDo3A0LJkQo2EyCGx0ZQDmWyWyM2yiox5uoJH9D0R=; AFP_zp_dfctwzs-aowb_80=441327q73660', r'FrffvbaQQS2=9995p6rp12rrnr893334ro7nq70o7p64p69rqn844prs1473; AFP_zp_dfctwzs-aowb_80=441327q73660; __hgzm=144631658.1231367054.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar); __hgzn=144631658.1796080716621419500.1231367054.1231367054.1231367054.1; __hgzo=144631658.0.10.1231367054; __hgzp=144631658; ZFPhygher=VC=74.125.75.1&VCPhygher=ra-HF&CersreerqPhygher=ra-HF&Pbhagel=IIZ%3Q&SbeprqRkcvengvba=633669350559478880&gvzrMbar=-8&HFEYBP=DKWyLHAiMTH9AwHjWxAcqUx9GJ91oaEunJ4tIzyyqlMQo3IhqUW5D29xMG1IHlMQo3IhqUW5GzSgMG1Iozy0MJDtH3EuqTImWxEgLHAiMTH9BQN3WxkuqTy0qJEyCGZ3YwDkBGVzGT9hM2y0qJEyCF0kZwVhZQH3APMDo3A0LJkQo2EyCGx0ZQDmWyWyM2yiox5uoJH9D0R%3Q', r'[glcr=fhozvg]', r'n.svryqOga,n.svryqOgaPnapry', r'n.svryqOgaPnapry', r'oyvpxchaxg', r'qvi.bow-nppbeqvba qg', r'uggc://tbbtyrnqf.t.qbhoyrpyvpx.arg/cntrnq/nqf?pyvrag=pn-svz_zlfcnpr_nccf_wf&qg=1231367052227&uy=ra&nqfnsr=uvtu&br=hgs8&ahz_nqf=4&bhgchg=wf&nqgrfg=bss&pbeeryngbe=1231367052227&punaary=svz_zlfcnpr_nccf-pnainf%2Psvz_zlfcnpr_havgrq-fgngrf&hey=uggc%3N%2S%2Scebsvyr.zlfcnpr.pbz%2SZbqhyrf%2SNccyvpngvbaf%2SCntrf%2SPnainf.nfck&nq_glcr=grkg&rvq=6083027&rn=0&sez=1&tn_ivq=716357910.1231367056&tn_fvq=1231367056&tn_uvq=1387206491&synfu=9.0.115&h_u=768&h_j=1024&h_nu=738&h_nj=1024&h_pq=24&h_gm=-480&h_uvf=2&h_wnin=gehr&h_acyht=7&h_azvzr=22', r'uggc://tbbtyrnqf.t.qbhoyrpyvpx.arg/cntrnq/nqf?pyvrag=pn-svz_zlfcnpr_zlfcnpr-ubzrcntr_wf&qg=1231365851658&uy=ra&nqfnsr=uvtu&br=hgs8&ahz_nqf=4&bhgchg=wf&nqgrfg=bss&pbeeryngbe=1231365851658&punaary=svz_zlfcnpr_ubzrcntr_abgybttrqva%2Psvz_zlfcnpr_aba_HTP%2Psvz_zlfcnpr_havgrq-fgngrf&hey=uggc%3N%2S%2Scebsvyrrqvg.zlfcnpr.pbz%2Svaqrk.psz&nq_glcr=grkg&rvq=6083027&rn=0&sez=0&tn_ivq=1979828129.1231365855&tn_fvq=1231365855&tn_uvq=2085229649&synfu=9.0.115&h_u=768&h_j=1024&h_nu=738&h_nj=1024&h_pq=24&h_gm=-480&h_uvf=2&h_wnin=gehr&h_acyht=7&h_azvzr=22', r'uggc://zfacbegny.112.2b7.arg/o/ff/zfacbegnyubzr/1/U.7-cqi-2/f55023338617756?[NDO]&aqu=1&g=7%2S0%2S2009%2014%3N12%3N47%203%20480&af=zfacbegny&cntrAnzr=HF%20UCZFSGJ&t=uggc%3N%2S%2Sjjj.zfa.pbz%2S&f=0k0&p=43835816&x=A&oj=994&ou=634&uc=A&{2}&[NDR]', r'zrgn[anzr=nwnkHey]', r'anpuevpugra', r'b oS={\'oT\':1.1};x $8n(B){z(B!=o9)};x $S(B){O(!$8n(B))z A;O(B.4L)z\'T\';b S=7t B;O(S==\'2P\'&&B.p4){23(B.7f){12 1:z\'T\';12 3:z/\S/.2g(B.8M)?\'ox\':\'oh\'}}O(S==\'2P\'||S==\'x\'){23(B.nE){12 2V:z\'1O\';12 7I:z\'5a\';12 18:z\'4B\'}O(7t B.I==\'4F\'){O(B.3u)z\'pG\';O(B.8e)z\'1p\'}}z S};x $2p(){b 4E={};Z(b v=0;v<1p.I;v++){Z(b X 1o 1p[v]){b nc=1p[v][X];b 6E=4E[X];O(6E&&$S(nc)==\'2P\'&&$S(6E)==\'2P\')4E[X]=$2p(6E,nc);17 4E[X]=nc}}z 4E};b $E=7p.E=x(){b 1d=1p;O(!1d[1])1d=[p,1d[0]];Z(b X 1o 1d[1])1d[0][X]=1d[1][X];z 1d[0]};b $4D=7p.pJ=x(){Z(b v=0,y=1p.I;v-1:p.3F(2R)>-1},nX:x(){z p.3y(/([.*+?^${}()|[\]\/\\])/t,\'\\$1\')}});2V.E({5V:x(1O){O(p.I<3)z A;O(p.I==4&&p[3]==0&&!1O)z\'p5\';b 3P=[];Z(b v=0;v<3;v++){b 52=(p[v]-0).4h(16);3P.1x((52.I==1)?\'0\'+52:52)}z 1O?3P:\'#\'+3P.2u(\'\')},5U:x(1O){O(p.I!=3)z A;b 1i=[];Z(b v=0;v<3;v++){1i.1x(5K((p[v].I==1)?p[v]+p[v]:p[v],16))}z 1O?1i:\'1i(\'+1i.2u(\',\')+\')\'}});7F.E({3n:x(P){b J=p;P=$2p({\'L\':J,\'V\':A,\'1p\':1S,\'2x\':A,\'4s\':A,\'6W\':A},P);O($2O(P.1p)&&$S(P.1p)!=\'1O\')P.1p=[P.1p];z x(V){b 1d;O(P.V){V=V||H.V;1d=[(P.V===1r)?V:Y P.V(V)];O(P.1p)1d.E(P.1p)}17 1d=P.1p||1p;b 3C=x(){z J.3H($5S(P', r'hagreunyghat', r'ZFPhygher=VC=74.125.75.1&VCPhygher=ra-HF&CersreerqPhygher=ra-HF&Pbhagel=IIZ%3Q&SbeprqRkcvengvba=633669341278771470&gvzrMbar=-8&HFEYBP=DKWyLHAiMTH9AwHjWxAcqUx9GJ91oaEunJ4tIzyyqlMQo3IhqUW5D29xMG1IHlMQo3IhqUW5GzSgMG1Iozy0MJDtH3EuqTImWxEgLHAiMTH9BQN3WxkuqTy0qJEyCGZ3YwDkBGVzGT9hM2y0qJEyCF0kZwVhZQH3APMDo3A0LJkQo2EyCGx0ZQDmWyWyM2yiox5uoJH9D0R%3Q', r'ZFPhygher=VC=74.125.75.1&VCPhygher=ra-HF&CersreerqPhygher=ra-HF&Pbhagel=IIZ%3Q&SbeprqRkcvengvba=633669350559478880&gvzrMbar=-8&HFEYBP=DKWyLHAiMTH9AwHjWxAcqUx9GJ91oaEunJ4tIzyyqlMQo3IhqUW5D29xMG1IHlMQo3IhqUW5GzSgMG1Iozy0MJDtH3EuqTImWxEgLHAiMTH9BQN3WxkuqTy0qJEyCGZ3YwDkBGVzGT9hM2y0qJEyCF0kZwVhZQH3APMDo3A0LJkQo2EyCGx0ZQDmWyWyM2yiox5uoJH9D0R%3Q', r'ZFPhygher=VC=74.125.75.1&VCPhygher=ra-HF&CersreerqPhygher=ra-HF&CersreerqPhygherCraqvat=&Pbhagel=IIZ=&SbeprqRkcvengvba=633669341278771470&gvzrMbar=0&HFEYBP=DKWyLHAiMTH9AwHjWxAcqUx9GJ91oaEunJ4tIzyyqlMQo3IhqUW5D29xMG1IHlMQo3IhqUW5GzSgMG1Iozy0MJDtH3EuqTImWxEgLHAiMTH9BQN3WxkuqTy0qJEyCGZ3YwDkBGVzGT9hM2y0qJEyCF0kZwVhZQH3APMDo3A0LJkQo2EyCGx0ZQDmWyWyM2yiox5uoJH9D0R=', r'ZFPhygher=VC=74.125.75.1&VCPhygher=ra-HF&CersreerqPhygher=ra-HF&CersreerqPhygherCraqvat=&Pbhagel=IIZ=&SbeprqRkcvengvba=633669350559478880&gvzrMbar=0&HFEYBP=DKWyLHAiMTH9AwHjWxAcqUx9GJ91oaEunJ4tIzyyqlMQo3IhqUW5D29xMG1IHlMQo3IhqUW5GzSgMG1Iozy0MJDtH3EuqTImWxEgLHAiMTH9BQN3WxkuqTy0qJEyCGZ3YwDkBGVzGT9hM2y0qJEyCF0kZwVhZQH3APMDo3A0LJkQo2EyCGx0ZQDmWyWyM2yiox5uoJH9D0R=', r'shapgvba (){Cuk.Nccyvpngvba.Frghc.Pber();Cuk.Nccyvpngvba.Frghc.Nwnk();Cuk.Nccyvpngvba.Frghc.Synfu();Cuk.Nccyvpngvba.Frghc.Zbqhyrf()}'] # The 12 benchmarking blocks def block0(): for i in range(6511): regexs[0].search(r'pyvpx') for i in range(1844): regexs[1].search(r'uggc://jjj.snprobbx.pbz/ybtva.cuc') for i in range(739): regexs[2].sub(r'', 'QBZPbageby_cynprubyqre', count=subcount[2]) for i in range(598): regexs[1].search(r'uggc://jjj.snprobbx.pbz/') for i in range(454): regexs[1].search(r'uggc://jjj.snprobbx.pbz/fepu.cuc') for i in range(352): re.search( r'qqqq|qqq|qq|q|ZZZZ|ZZZ|ZZ|Z|llll|ll|l|uu|u|UU|U|zz|z|ff|f|gg|g|sss|ss|s|mmm|mm|m', 'qqqq, ZZZ q, llll') for i in range(312): regexs[3].search(r'vachggrkg QBZPbageby_cynprubyqre') for i in range(282): regexs[4].search(r'/ZlFcnprUbzrcntr/Vaqrk-FvgrUbzr,10000000') for i in range(177): regexs[5].sub(r'', 'vachggrkg', count=subcount[5]) for i in range(170): regexs[6].sub(r'', '528.9', count=subcount[6]) regexs[7].search(r'528') for i in range(156): regexs[8].search(r'VCPhygher=ra-HF') regexs[8].search(r'CersreerqPhygher=ra-HF') for i in range(144): regexs[0].search(r'xrlcerff') for i in range(139): regexs[6].sub(r'', '521', count=subcount[6]) # This has a different output to the V8 version. # It could just be a difference in the engines. regexs[7].search(r'521') regexs[9].search(r'') re.search(r'JroXvg\/(\S+)', strings[0]) for i in range(137): regexs[10].sub(r'', 'qvi .so_zrah', count=subcount[10]) re.sub(r'\[', '', 'qvi .so_zrah', count=0) regexs[11].sub(r'', 'qvi.so_zrah', count=subcount[11]) for i in range(117): regexs[2].sub(r'', 'uvqqra_ryrz', count=subcount[2]) for i in range(95): re.search(r'(?:^|;)\s*sevraqfgre_ynat=([^;]*)', 'sevraqfgre_naba=nvq%3Qn6ss9p85n868ro9s059pn854735956o3%26ers%3Q%26df%3Q%26vpgl%3QHF') for i in range(93): regexs[12].sub(r'', 'uggc://ubzr.zlfcnpr.pbz/vaqrk.psz', count=subcount[12]) regexs[13].search(r'uggc://ubzr.zlfcnpr.pbz/vaqrk.psz') for i in range(92): re.sub(r'([a-zA-Z]|\s)+', '', strings[1], count=1) for i in range(85): regexs[14].sub(r'', 'svefg', count=subcount[14]) regexs[15].sub(r'', 'svefg', count=subcount[15]) regexs[12].sub( r'', 'uggc://cebsvyr.zlfcnpr.pbz/vaqrk.psz', count=subcount[12]) regexs[14].sub(r'', 'ynfg', count=subcount[14]) regexs[15].sub(r'', 'ynfg', count=subcount[15]) regexs[16].search(r'qvfcynl') regexs[13].search(r'uggc://cebsvyr.zlfcnpr.pbz/vaqrk.psz') def block1(): for i in range(81): regexs[8].search(r'VC=74.125.75.1') for i in range(78): re.sub(r'(\s)+e', '', '9.0 e115', count=1) re.sub(r'.', '', 'k', count=1) # This prints a unicode escape where the V8 version prints the # unicode character. regexs[17].sub(r'', strings[2], count=subcount[17]) # This prints a unicode escape where the V8 version prints the # unicode character. regexs[17].sub(r'', strings[3], count=subcount[17]) regexs[8].search(r'144631658') regexs[8].search(r'Pbhagel=IIZ%3Q') regexs[8].search(r'Pbhagel=IIZ=') regexs[8].search(r'CersreerqPhygherCraqvat=') regexs[8].search(strings[4]) regexs[8].search(strings[5]) regexs[8].search(r'__hgzp=144631658') regexs[8].search(r'gvzrMbar=-8') regexs[8].search(r'gvzrMbar=0') re.search(r'Fnsnev\/(\d+\.\d+)', strings[0]) regexs[3].search(r'vachggrkg QBZPbageby_cynprubyqre') regexs[0].search(r'xrlqbja') regexs[0].search(r'xrlhc') for i in range(77): regexs[12].sub( r'', 'uggc://zrffntvat.zlfcnpr.pbz/vaqrk.psz', count=subcount[12]) regexs[13].search(r'uggc://zrffntvat.zlfcnpr.pbz/vaqrk.psz') for i in range(73): regexs[18].sub( r'', 'FrffvbaFgbentr=%7O%22GnoThvq%22%3N%7O%22thvq%22%3N1231367125017%7Q%7Q', count=subcount[18]) for i in range(72): regexs[1].search(strings[6]) for i in range(71): regexs[19].search(r'') for i in range(70): regexs[11].sub(r'', '3.5.0.0', count=subcount[11]) re.sub(r'd1', '', strings[7], count=0) re.sub(r'NQ_VQ', '', strings[8], count=0) re.sub(r'd2', '', strings[9], count=0) re.sub( r'_', '', 'NI%3Q1_CI%3Q1_PI%3Q1_EI%3Q1_HI%3Q1_HP%3Q1_IC%3Q0.0.0.0_IH%3Q0', count=0) regexs[20].split( r'svz_zlfcnpr_ubzrcntr_abgybttrqva,svz_zlfcnpr_aba_HTP,svz_zlfcnpr_havgrq-fgngrf') regexs[21].search(r'ybnqvat') for i in range(68): regexs[1].search(r'#') re.search( r'(?:ZFVR.(\d+\.\d+))|(?:(?:Sversbk|TenaCnenqvfb|Vprjrnfry).(\d+\.\d+))|(?:Bcren.(\d+\.\d+))|(?:NccyrJroXvg.(\d+(?:\.\d+)?))', strings[0]) re.search(r'(Znp BF K)|(Jvaqbjf;)', strings[0]) re.search(r'Trpxb\/([0-9]+)', strings[0]) regexs[21].search(r'ybnqrq') for i in range(49): regexs[16].search(r'pbybe') for i in range(44): regexs[12].sub( r'', 'uggc://sevraqf.zlfcnpr.pbz/vaqrk.psz', count=subcount[12]) regexs[13].search(r'uggc://sevraqf.zlfcnpr.pbz/vaqrk.psz') def block2(): for i in range(40): regexs[14].sub(r'', 'fryrpgrq', count=subcount[14]) regexs[15].sub(r'', 'fryrpgrq', count=subcount[15]) for i in range(39): re.sub(r'\buvqqra_ryrz\b', '', 'vachggrkg uvqqra_ryrz', count=0) regexs[3].search(r'vachggrkg ') regexs[3].search(r'vachggrkg') regexs[22].search(r'HVYvaxOhggba') regexs[22].search(r'HVYvaxOhggba_E') regexs[22].search(r'HVYvaxOhggba_EJ') regexs[22].search(r'zrah_ybtva_pbagnvare') re.search(r'\buvqqra_ryrz\b', 'vachgcnffjbeq') for i in range(37): regexs[8].search(r'111soqs57qo8o8480qo18sor2011r3n591q7s6s37r120904') regexs[8].search(r'SbeprqRkcvengvba=633669315660164980') regexs[8].search( r'FrffvbaQQS2=111soqs57qo8o8480qo18sor2011r3n591q7s6s37r120904') for i in range(35): regexs[14].sub(r'', 'puvyq p1 svefg', count=subcount[14]) regexs[15].sub(r'', 'puvyq p1 svefg', count=subcount[15]) regexs[14].sub(r'', 'sylbhg pybfrq', count=subcount[14]) regexs[15].sub(r'', 'sylbhg pybfrq', count=subcount[15]) for i in range(34): regexs[19].search(r'gno2') regexs[19].search(r'gno3') regexs[8].search(r'44132r503660') regexs[8].search(r'SbeprqRkcvengvba=633669316860113296') regexs[8].search(r'AFP_zp_dfctwzs-aowb_80=44132r503660') regexs[8].search( r'FrffvbaQQS2=s6r4579npn4rn2135s904r0s75pp1o5334p6s6pospo12696') regexs[8].search(r's6r4579npn4rn2135s904r0s75pp1o5334p6s6pospo12696') for i in range(32): re.search(r'puebzr', strings[0], re.IGNORECASE) for i in range(31): regexs[23].sub(r'', 'uggc://jjj.snprobbx.pbz/', count=subcount[23]) regexs[8].search(r'SbeprqRkcvengvba=633669358527244818') regexs[8].search(r'VC=66.249.85.130') regexs[8].search( r'FrffvbaQQS2=s15q53p9n372sn76npr13o271n4s3p5r29p235746p908p58') regexs[8].search(r's15q53p9n372sn76npr13o271n4s3p5r29p235746p908p58') regexs[24].search(r'uggc://jjj.snprobbx.pbz/') for i in range(30): regexs[6].sub(r'', '419', count=subcount[6]) re.search(r'(?:^|\s+)gvzrfgnzc(?:\s+|$)', 'gvzrfgnzc') regexs[7].search(r'419') for i in range(29): regexs[23].sub(r'', 'uggc://jjj.snprobbx.pbz/ybtva.cuc', count=subcount[23]) for i in range(28): regexs[25].sub(r'', 'Funer guvf tnqtrg', count=subcount[25]) regexs[12].sub(r'', 'Funer guvf tnqtrg', count=subcount[12]) regexs[26].search(r'uggc://jjj.tbbtyr.pbz/vt/qverpgbel') def block3(): for i in range(27): re.sub(r'[A-Za-z]', '', 'e115', count=0) for i in range(23): regexs[27].sub(r'', 'qvfcynl', count=subcount[27]) regexs[27].sub(r'', 'cbfvgvba', count=subcount[27]) for i in range(22): regexs[14].sub(r'', 'unaqyr', count=subcount[14]) regexs[15].sub(r'', 'unaqyr', count=subcount[15]) regexs[14].sub(r'', 'yvar', count=subcount[14]) regexs[15].sub(r'', 'yvar', count=subcount[15]) regexs[14].sub(r'', 'cnerag puebzr6 fvatyr1 gno', count=subcount[14]) regexs[15].sub(r'', 'cnerag puebzr6 fvatyr1 gno', count=subcount[15]) regexs[14].sub(r'', 'fyvqre', count=subcount[14]) regexs[15].sub(r'', 'fyvqre', count=subcount[15]) regexs[28].search(r'') for i in range(21): regexs[12].sub(r'', 'uggc://jjj.zlfcnpr.pbz/', count=subcount[12]) regexs[13].search(r'uggc://jjj.zlfcnpr.pbz/') for i in range(20): regexs[29].sub(r'', 'cntrivrj', count=subcount[29]) regexs[30].sub(r'', 'cntrivrj', count=subcount[30]) regexs[19].search(r'ynfg') regexs[19].search(r'ba svefg') regexs[8].search(r'VC=74.125.75.3') for i in range(19): regexs[31].search(r'ra') for i in range(18): regexs[32].split(strings[10]) regexs[32].split(strings[11]) regexs[33].sub(r'', strings[12], count=subcount[33]) regexs[8].search(r'144631658.0.10.1231363570') regexs[8].search( r'144631658.1231363570.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[8].search( r'144631658.3426875219718084000.1231363570.1231363570.1231363570.1') regexs[8].search(strings[13]) regexs[8].search(strings[14]) regexs[8].search( r'__hgzn=144631658.3426875219718084000.1231363570.1231363570.1231363570.1') regexs[8].search(r'__hgzo=144631658.0.10.1231363570') regexs[8].search( r'__hgzm=144631658.1231363570.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[34].search(strings[10]) regexs[34].search(strings[11]) for i in range(17): re.match(r'zfvr', strings[0], re.IGNORECASE) re.match(r'bcren', strings[0], re.IGNORECASE) regexs[32].split(strings[15]) regexs[32].split(strings[16]) regexs[14].sub(r'', 'ohggba', count=subcount[14]) regexs[15].sub(r'', 'ohggba', count=subcount[15]) regexs[14].sub(r'', 'puvyq p1 svefg sylbhg pybfrq', count=subcount[14]) regexs[15].sub(r'', 'puvyq p1 svefg sylbhg pybfrq', count=subcount[15]) regexs[14].sub(r'', 'pvgvrf', count=subcount[14]) regexs[15].sub(r'', 'pvgvrf', count=subcount[15]) regexs[14].sub(r'', 'pybfrq', count=subcount[14]) regexs[15].sub(r'', 'pybfrq', count=subcount[15]) regexs[14].sub(r'', 'qry', count=subcount[14]) regexs[15].sub(r'', 'qry', count=subcount[15]) regexs[14].sub(r'', 'uqy_zba', count=subcount[14]) regexs[15].sub(r'', 'uqy_zba', count=subcount[15]) regexs[33].sub(r'', strings[17], count=subcount[33]) re.sub(r'%3P', '', strings[18], count=0) re.sub(r'%3R', '', strings[18], count=0) re.sub(r'%3q', '', strings[18], count=0) regexs[35].sub(r'', strings[18], count=subcount[35]) regexs[14].sub(r'', 'yvaxyvfg16', count=subcount[14]) regexs[15].sub(r'', 'yvaxyvfg16', count=subcount[15]) regexs[14].sub(r'', 'zvahf', count=subcount[14]) regexs[15].sub(r'', 'zvahf', count=subcount[15]) regexs[14].sub(r'', 'bcra', count=subcount[14]) regexs[15].sub(r'', 'bcra', count=subcount[15]) regexs[14].sub(r'', 'cnerag puebzr5 fvatyr1 ps NU', count=subcount[14]) regexs[15].sub(r'', 'cnerag puebzr5 fvatyr1 ps NU', count=subcount[15]) regexs[14].sub(r'', 'cynlre', count=subcount[14]) regexs[15].sub(r'', 'cynlre', count=subcount[15]) regexs[14].sub(r'', 'cyhf', count=subcount[14]) regexs[15].sub(r'', 'cyhf', count=subcount[15]) regexs[14].sub(r'', 'cb_uqy', count=subcount[14]) regexs[15].sub(r'', 'cb_uqy', count=subcount[15]) regexs[14].sub(r'', 'hyJVzt', count=subcount[14]) regexs[15].sub(r'', 'hyJVzt', count=subcount[15]) regexs[8].search(r'144631658.0.10.1231363638') regexs[8].search( r'144631658.1231363638.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[8].search( r'144631658.965867047679498800.1231363638.1231363638.1231363638.1') regexs[8].search(r'4413268q3660') regexs[8].search(r'4ss747o77904333q374or84qrr1s9r0nprp8r5q81534o94n') regexs[8].search(r'SbeprqRkcvengvba=633669321699093060') regexs[8].search(r'VC=74.125.75.20') regexs[8].search(strings[19]) regexs[8].search(strings[20]) regexs[8].search(r'AFP_zp_tfwsbrg-aowb_80=4413268q3660') regexs[8].search( r'FrffvbaQQS2=4ss747o77904333q374or84qrr1s9r0nprp8r5q81534o94n') regexs[8].search( r'__hgzn=144631658.965867047679498800.1231363638.1231363638.1231363638.1') regexs[8].search(r'__hgzo=144631658.0.10.1231363638') regexs[8].search( r'__hgzm=144631658.1231363638.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[34].search(strings[15]) regexs[34].search(strings[16]) def block4(): for i in range(16): re.sub(r'\*', '', '', count=0) re.search(r'\bnpgvir\b', 'npgvir') re.search(r'sversbk', strings[0], re.IGNORECASE) regexs[36].search(r'glcr') re.search(r'zfvr', strings[0], re.IGNORECASE) re.search(r'bcren', strings[0], re.IGNORECASE) for i in range(15): regexs[32].split(strings[21]) regexs[32].split(strings[22]) regexs[12].sub( r'', 'uggc://ohyyrgvaf.zlfcnpr.pbz/vaqrk.psz', count=subcount[12]) regexs[33].sub(r'', strings[23], count=subcount[33]) regexs[37].sub(r'', 'yv', count=subcount[37]) regexs[18].sub(r'', 'yv', count=subcount[18]) regexs[8].search(r'144631658.0.10.1231367822') regexs[8].search( r'144631658.1231367822.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[8].search( r'144631658.4127520630321984500.1231367822.1231367822.1231367822.1') regexs[8].search(strings[24]) regexs[8].search(strings[25]) regexs[8].search( r'__hgzn=144631658.4127520630321984500.1231367822.1231367822.1231367822.1') regexs[8].search(r'__hgzo=144631658.0.10.1231367822') regexs[8].search( r'__hgzm=144631658.1231367822.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[34].search(strings[21]) regexs[34].search(strings[22]) # FIXME # The \{0,65534} should be a * # There's a current python bug that will stop the regex compilation # when a * appears there http://bugs.python.org/issue6156. re.search( r'\.([\w-]+)|\[(\w+)(?:([!*^$~|]?=)["\']?(.*?)["\']?)?\]|:([\w-]+)(?:\(["\']?(.\{0,65534}?)?["\']?\)|$)', strings[26]) regexs[13].search(r'uggc://ohyyrgvaf.zlfcnpr.pbz/vaqrk.psz') regexs[38].search(r'yv') for i in range(14): regexs[18].sub(r'', '', count=subcount[18]) re.sub(r'(\s+e|\s+o[0-9]+)', '', '9.0 e115', count=1) re.sub(r'<', '', 'Funer guvf tnqtrg', count=0) re.sub(r'>', '', 'Funer guvf tnqtrg', count=0) regexs[39].sub(r'', 'Funer guvf tnqtrg', count=subcount[39]) regexs[12].sub( r'', 'uggc://cebsvyrrqvg.zlfcnpr.pbz/vaqrk.psz', count=subcount[12]) regexs[40].sub(r'', 'grnfre', count=subcount[40]) regexs[41].sub(r'', 'grnfre', count=subcount[41]) regexs[42].sub(r'', 'grnfre', count=subcount[42]) regexs[43].sub(r'', 'grnfre', count=subcount[43]) regexs[44].sub(r'', 'grnfre', count=subcount[44]) regexs[45].sub(r'', 'grnfre', count=subcount[45]) regexs[46].sub(r'', 'grnfre', count=subcount[46]) regexs[47].sub(r'', 'grnfre', count=subcount[47]) regexs[48].sub(r'', 'grnfre', count=subcount[48]) regexs[16].search(r'znetva-gbc') regexs[16].search(r'cbfvgvba') regexs[19].search(r'gno1') regexs[9].search(r'qz') regexs[9].search(r'qg') regexs[9].search(r'zbqobk') regexs[9].search(r'zbqobkva') regexs[9].search(r'zbqgvgyr') regexs[13].search(r'uggc://cebsvyrrqvg.zlfcnpr.pbz/vaqrk.psz') regexs[26].search(r'/vt/znvytnqtrg') regexs[49].search(r'glcr') def block5(): for i in range(13): regexs[14].sub(r'', 'purpx', count=subcount[14]) regexs[15].sub(r'', 'purpx', count=subcount[15]) regexs[14].sub(r'', 'pvgl', count=subcount[14]) regexs[15].sub(r'', 'pvgl', count=subcount[15]) regexs[14].sub(r'', 'qrpe fyvqrgrkg', count=subcount[14]) regexs[15].sub(r'', 'qrpe fyvqrgrkg', count=subcount[15]) regexs[14].sub(r'', 'svefg fryrpgrq', count=subcount[14]) regexs[15].sub(r'', 'svefg fryrpgrq', count=subcount[15]) regexs[14].sub(r'', 'uqy_rag', count=subcount[14]) regexs[15].sub(r'', 'uqy_rag', count=subcount[15]) regexs[14].sub(r'', 'vape fyvqrgrkg', count=subcount[14]) regexs[15].sub(r'', 'vape fyvqrgrkg', count=subcount[15]) regexs[5].sub(r'', 'vachggrkg QBZPbageby_cynprubyqre', count=subcount[5]) regexs[14].sub( r'', 'cnerag puebzr6 fvatyr1 gno fryrpgrq', count=subcount[14]) regexs[15].sub( r'', 'cnerag puebzr6 fvatyr1 gno fryrpgrq', count=subcount[15]) regexs[14].sub(r'', 'cb_guz', count=subcount[14]) regexs[15].sub(r'', 'cb_guz', count=subcount[15]) regexs[14].sub(r'', 'fhozvg', count=subcount[14]) regexs[15].sub(r'', 'fhozvg', count=subcount[15]) regexs[50].search(r'') re.search(r'NccyrJroXvg\/([^\s]*)', strings[0]) re.search(r'XUGZY', strings[0]) for i in range(12): re.sub(r'(\$\{cebg\})|(\$cebg\b)', '', '${cebg}://${ubfg}${cngu}/${dz}', count=0) regexs[40].sub(r'', '1', count=subcount[40]) regexs[10].sub(r'', '1', count=subcount[10]) regexs[51].sub(r'', '1', count=subcount[51]) regexs[52].sub(r'', '1', count=subcount[52]) regexs[53].sub(r'', '1', count=subcount[53]) regexs[39].sub(r'', '1', count=subcount[39]) regexs[54].sub(r'', '1', count=subcount[54]) re.sub(r'^(.*)\..*$', '', '9.0 e115', count=1) re.sub(r'^.*e(.*)$', '', '9.0 e115', count=1) regexs[55].sub(r'', '', count=subcount[55]) regexs[55].sub( r'', '', count=subcount[55]) re.sub(r'^.*\s+(\S+\s+\S+$)', '', strings[1], count=1) regexs[30].sub(r'', 'tzk%2Subzrcntr%2Sfgneg%2Sqr%2S', count=subcount[30]) regexs[30].sub(r'', 'tzk', count=subcount[30]) re.sub(r'(\$\{ubfg\})|(\$ubfg\b)', '', 'uggc://${ubfg}${cngu}/${dz}', count=0) regexs[56].sub( r'', 'uggc://nqpyvrag.hvzfrei.arg${cngu}/${dz}', count=subcount[56]) re.sub(r'(\$\{dz\})|(\$dz\b)', '', 'uggc://nqpyvrag.hvzfrei.arg/wf.at/${dz}', count=0) regexs[29].sub(r'', 'frpgvba', count=subcount[29]) regexs[30].sub(r'', 'frpgvba', count=subcount[30]) regexs[29].sub(r'', 'fvgr', count=subcount[29]) regexs[30].sub(r'', 'fvgr', count=subcount[30]) regexs[29].sub(r'', 'fcrpvny', count=subcount[29]) regexs[30].sub(r'', 'fcrpvny', count=subcount[30]) regexs[36].search(r'anzr') re.search(r'e', '9.0 e115') def block6(): for i in range(11): re.sub(r'(?i)##yv0##', '', strings[27], count=0) regexs[57].sub(r'', strings[27], count=subcount[57]) regexs[58].sub(r'', strings[28], count=subcount[58]) regexs[59].sub(r'', strings[29], count=subcount[59]) re.sub(r'(?i)##\/o##', '', strings[30], count=0) re.sub(r'(?i)##\/v##', '', strings[30], count=0) re.sub(r'(?i)##\/h##', '', strings[30], count=0) re.sub(r'(?i)##o##', '', strings[30], count=0) re.sub(r'(?i)##oe##', '', strings[30], count=0) re.sub(r'(?i)##v##', '', strings[30], count=0) re.sub(r'(?i)##h##', '', strings[30], count=0) re.sub(r'(?i)##n##', '', strings[31], count=0) re.sub(r'(?i)##\/n##', '', strings[32], count=0) # This prints a unicode escape where the V8 version # prints the unicode character. re.sub(r'#~#argjbexybtb#~#', '', strings[33], count=0) re.search(r' Zbovyr\/', strings[0]) re.search(r'##yv1##', strings[27], re.IGNORECASE) re.search(r'##yv10##', strings[28], re.IGNORECASE) re.search(r'##yv11##', strings[28], re.IGNORECASE) re.search(r'##yv12##', strings[28], re.IGNORECASE) re.search(r'##yv13##', strings[28], re.IGNORECASE) re.search(r'##yv14##', strings[28], re.IGNORECASE) re.search(r'##yv15##', strings[28], re.IGNORECASE) regexs[58].search(strings[28]) re.search(r'##yv17##', strings[29], re.IGNORECASE) re.search(r'##yv18##', strings[29], re.IGNORECASE) regexs[59].search(strings[29]) re.search(r'##yv2##', strings[27], re.IGNORECASE) re.search(r'##yv20##', strings[30], re.IGNORECASE) re.search(r'##yv21##', strings[30], re.IGNORECASE) re.search(r'##yv22##', strings[30], re.IGNORECASE) re.search(r'##yv23##', strings[30], re.IGNORECASE) re.search(r'##yv3##', strings[27], re.IGNORECASE) regexs[57].search(strings[27]) re.search(r'##yv5##', strings[28], re.IGNORECASE) re.search(r'##yv6##', strings[28], re.IGNORECASE) re.search(r'##yv7##', strings[28], re.IGNORECASE) re.search(r'##yv8##', strings[28], re.IGNORECASE) re.search(r'##yv9##', strings[28], re.IGNORECASE) regexs[8].search(r'473qq1rs0n2r70q9qo1pq48n021s9468ron90nps048p4p29') regexs[8].search(r'SbeprqRkcvengvba=633669325184628362') regexs[8].search( r'FrffvbaQQS2=473qq1rs0n2r70q9qo1pq48n021s9468ron90nps048p4p29') re.search(r'AbxvnA[^\/]*', strings[0]) for i in range(10): re.sub(r'(?:^|\s+)bss(?:\s+|$)', '', ' bss', count=0) re.sub(r'(\$\{0\})|(\$0\b)', '', strings[34], count=0) re.sub(r'(\$\{1\})|(\$1\b)', '', strings[34], count=0) re.sub(r'(\$\{pbzcyrgr\})|(\$pbzcyrgr\b)', '', strings[34], count=0) re.sub(r'(\$\{sentzrag\})|(\$sentzrag\b)', '', strings[34], count=0) re.sub(r'(\$\{ubfgcbeg\})|(\$ubfgcbeg\b)', '', strings[34], count=0) regexs[56].sub(r'', strings[34], count=subcount[56]) re.sub(r'(\$\{cebgbpby\})|(\$cebgbpby\b)', '', strings[34], count=0) re.sub(r'(\$\{dhrel\})|(\$dhrel\b)', '', strings[34], count=0) regexs[29].sub(r'', 'nqfvmr', count=subcount[29]) regexs[30].sub(r'', 'nqfvmr', count=subcount[30]) re.sub(r'(\$\{2\})|(\$2\b)', '', 'uggc://${2}${3}${4}${5}', count=0) re.sub(r'(\$\{3\})|(\$3\b)', '', 'uggc://wf.hv-cbegny.qr${3}${4}${5}', count=0) regexs[40].sub(r'', 'arjf', count=subcount[40]) regexs[41].sub(r'', 'arjf', count=subcount[41]) regexs[42].sub(r'', 'arjf', count=subcount[42]) regexs[43].sub(r'', 'arjf', count=subcount[43]) regexs[44].sub(r'', 'arjf', count=subcount[44]) regexs[45].sub(r'', 'arjf', count=subcount[45]) regexs[46].sub(r'', 'arjf', count=subcount[46]) regexs[47].sub(r'', 'arjf', count=subcount[47]) regexs[48].sub(r'', 'arjf', count=subcount[48]) re.search(r' PC=i=(\d+)&oe=(.)', strings[35]) regexs[60].search(r' ') regexs[60].search(r' bss') regexs[60].search(r'') regexs[19].search(r' ') regexs[19].search(r'svefg ba') regexs[19].search(r'ynfg vtaber') regexs[19].search(r'ba') regexs[9].search(r'scnq so ') regexs[9].search(r'zrqvgobk') regexs[9].search(r'hsgy') regexs[9].search(r'lhv-h') re.search(r'Fnsnev|Xbadhrebe|XUGZY', strings[0], re.IGNORECASE) regexs[61].search( r'uggc://wf.hv-cbegny.qr/tzk/ubzr/wf/20080602/onfr.wf') regexs[62].search(r'#Ybtva_rznvy') def block7(): for i in range(9): regexs[40].sub(r'', '0', count=subcount[40]) regexs[10].sub(r'', '0', count=subcount[10]) regexs[51].sub(r'', '0', count=subcount[51]) regexs[52].sub(r'', '0', count=subcount[52]) regexs[53].sub(r'', '0', count=subcount[53]) regexs[39].sub(r'', '0', count=subcount[39]) regexs[54].sub(r'', '0', count=subcount[54]) regexs[40].sub(r'', 'Lrf', count=subcount[40]) regexs[10].sub(r'', 'Lrf', count=subcount[10]) regexs[51].sub(r'', 'Lrf', count=subcount[51]) regexs[52].sub(r'', 'Lrf', count=subcount[52]) regexs[53].sub(r'', 'Lrf', count=subcount[53]) regexs[39].sub(r'', 'Lrf', count=subcount[39]) regexs[54].sub(r'', 'Lrf', count=subcount[54]) for i in range(8): regexs[63].sub(r'', 'Pybfr {0}', count=subcount[63]) regexs[63].sub(r'', 'Bcra {0}', count=subcount[63]) regexs[32].split(strings[36]) regexs[32].split(strings[37]) regexs[14].sub(r'', 'puvyq p1 svefg gnournqref', count=subcount[14]) regexs[15].sub(r'', 'puvyq p1 svefg gnournqref', count=subcount[15]) regexs[14].sub(r'', 'uqy_fcb', count=subcount[14]) regexs[15].sub(r'', 'uqy_fcb', count=subcount[15]) regexs[14].sub(r'', 'uvag', count=subcount[14]) regexs[15].sub(r'', 'uvag', count=subcount[15]) regexs[33].sub(r'', strings[38], count=subcount[33]) regexs[14].sub(r'', 'yvfg', count=subcount[14]) regexs[15].sub(r'', 'yvfg', count=subcount[15]) regexs[30].sub(r'', 'at_bhgre', count=subcount[30]) regexs[14].sub(r'', 'cnerag puebzr5 qbhoyr2 NU', count=subcount[14]) regexs[15].sub(r'', 'cnerag puebzr5 qbhoyr2 NU', count=subcount[15]) regexs[14].sub( r'', 'cnerag puebzr5 dhnq5 ps NU osyvax zbarl', count=subcount[14]) regexs[15].sub( r'', 'cnerag puebzr5 dhnq5 ps NU osyvax zbarl', count=subcount[15]) regexs[14].sub(r'', 'cnerag puebzr6 fvatyr1', count=subcount[14]) regexs[15].sub(r'', 'cnerag puebzr6 fvatyr1', count=subcount[15]) regexs[14].sub(r'', 'cb_qrs', count=subcount[14]) regexs[15].sub(r'', 'cb_qrs', count=subcount[15]) regexs[14].sub(r'', 'gnopbagrag', count=subcount[14]) regexs[15].sub(r'', 'gnopbagrag', count=subcount[15]) regexs[30].sub(r'', 'iv_svefg_gvzr', count=subcount[30]) re.search(r'(^|.)(ronl|qri-ehf3.wbg)(|fgberf|zbgbef|yvirnhpgvbaf|jvxv|rkcerff|punggre).(pbz(|.nh|.pa|.ux|.zl|.ft|.oe|.zk)|pb(.hx|.xe|.am)|pn|qr|se|vg|ay|or|ng|pu|vr|va|rf|cy|cu|fr)$', 'cntrf.ronl.pbz', re.IGNORECASE) regexs[8].search(r'144631658.0.10.1231364074') regexs[8].search( r'144631658.1231364074.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[8].search( r'144631658.2294274870215848400.1231364074.1231364074.1231364074.1') regexs[8].search(r'4413241q3660') regexs[8].search(r'SbeprqRkcvengvba=633669357391353591') regexs[8].search(strings[39]) regexs[8].search(strings[40]) regexs[8].search(r'AFP_zp_kkk-gdzogv_80=4413241q3660') regexs[8].search( r'FrffvbaQQS2=p98s8o9q42nr21or1r61pqorn1n002nsss569635984s6qp7') regexs[8].search( r'__hgzn=144631658.2294274870215848400.1231364074.1231364074.1231364074.1') regexs[8].search(r'__hgzo=144631658.0.10.1231364074') regexs[8].search( r'__hgzm=144631658.1231364074.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[8].search(r'p98s8o9q42nr21or1r61pqorn1n002nsss569635984s6qp7') regexs[34].search(strings[36]) regexs[34].search(strings[37]) def block8(): for i in range(7): re.match(r'\d+', strings[1]) regexs[64].sub(r'', 'nsgre', count=subcount[64]) regexs[64].sub(r'', 'orsber', count=subcount[64]) regexs[64].sub(r'', 'obggbz', count=subcount[64]) regexs[65].sub(r'', 'ohvygva_jrngure.kzy', count=subcount[65]) regexs[37].sub(r'', 'ohggba', count=subcount[37]) regexs[18].sub(r'', 'ohggba', count=subcount[18]) regexs[65].sub(r'', 'qngrgvzr.kzy', count=subcount[65]) regexs[65].sub( r'', 'uggc://eff.paa.pbz/eff/paa_gbcfgbevrf.eff', count=subcount[65]) regexs[37].sub(r'', 'vachg', count=subcount[37]) regexs[18].sub(r'', 'vachg', count=subcount[18]) regexs[64].sub(r'', 'vafvqr', count=subcount[64]) regexs[27].sub(r'', 'cbvagre', count=subcount[27]) re.sub(r'[A-Z]', '', 'cbfvgvba', count=0) regexs[27].sub(r'', 'gbc', count=subcount[27]) regexs[64].sub(r'', 'gbc', count=subcount[64]) regexs[37].sub(r'', 'hy', count=subcount[37]) regexs[18].sub(r'', 'hy', count=subcount[18]) regexs[37].sub(r'', strings[26], count=subcount[37]) regexs[18].sub(r'', strings[26], count=subcount[18]) regexs[65].sub(r'', 'lbhghor_vtbbtyr/i2/lbhghor.kzy', count=subcount[65]) regexs[27].sub(r'', 'm-vaqrk', count=subcount[27]) re.search(r'#([\w-]+)', strings[26]) regexs[16].search(r'urvtug') regexs[16].search(r'znetvaGbc') regexs[16].search(r'jvqgu') regexs[19].search(r'gno0 svefg ba') regexs[19].search(r'gno0 ba') regexs[19].search(r'gno4 ynfg') regexs[19].search(r'gno4') regexs[19].search(r'gno5') regexs[19].search(r'gno6') regexs[19].search(r'gno7') regexs[19].search(r'gno8') re.search(r'NqborNVE\/([^\s]*)', strings[0]) re.search(r'NccyrJroXvg\/([^ ]*)', strings[0]) re.search(r'XUGZY', strings[0], re.IGNORECASE) re.search(r'^(?:obql|ugzy)$', 'YV', re.IGNORECASE) regexs[38].search(r'ohggba') regexs[38].search(r'vachg') regexs[38].search(r'hy') regexs[38].search(strings[26]) re.search(r'^(\w+|\*)', strings[26]) re.search(r'znp|jva|yvahk', 'Jva32', re.IGNORECASE) re.search(r'eton?\([\d\s,]+\)', 'fgngvp') for i in range(6): re.sub(r'\r', '', '', count=0) regexs[40].sub(r'', '/', count=subcount[40]) regexs[10].sub(r'', '/', count=subcount[10]) regexs[51].sub(r'', '/', count=subcount[51]) regexs[52].sub(r'', '/', count=subcount[52]) regexs[53].sub(r'', '/', count=subcount[53]) regexs[39].sub(r'', '/', count=subcount[39]) regexs[54].sub(r'', '/', count=subcount[54]) regexs[63].sub( r'', 'uggc://zfacbegny.112.2b7.arg/o/ff/zfacbegnyubzr/1/U.7-cqi-2/{0}?[NDO]&{1}&{2}&[NDR]', count=subcount[63]) regexs[12].sub(r'', strings[41], count=subcount[12]) regexs[23].sub(r'', 'uggc://jjj.snprobbx.pbz/fepu.cuc', count=subcount[23]) regexs[40].sub(r'', 'freivpr', count=subcount[40]) regexs[41].sub(r'', 'freivpr', count=subcount[41]) regexs[42].sub(r'', 'freivpr', count=subcount[42]) regexs[43].sub(r'', 'freivpr', count=subcount[43]) regexs[44].sub(r'', 'freivpr', count=subcount[44]) regexs[45].sub(r'', 'freivpr', count=subcount[45]) regexs[46].sub(r'', 'freivpr', count=subcount[46]) regexs[47].sub(r'', 'freivpr', count=subcount[47]) regexs[48].sub(r'', 'freivpr', count=subcount[48]) re.search(r'((ZFVR\s+([6-9]|\d\d)\.))', strings[0]) regexs[66].search(r'') regexs[50].search(r'fryrpgrq') regexs[8].search(r'8sqq78r9n442851q565599o401385sp3s04r92rnn7o19ssn') regexs[8].search(r'SbeprqRkcvengvba=633669340386893867') regexs[8].search(r'VC=74.125.75.17') regexs[8].search( r'FrffvbaQQS2=8sqq78r9n442851q565599o401385sp3s04r92rnn7o19ssn') re.search(r'Xbadhrebe|Fnsnev|XUGZY', strings[0]) regexs[13].search(strings[41]) regexs[49].search(r'unfsbphf') def block9(): for i in range(5): regexs[32].split(strings[42]) regexs[32].split(strings[43]) regexs[20].split( r'svz_zlfcnpr_hfre-ivrj-pbzzragf,svz_zlfcnpr_havgrq-fgngrf') regexs[33].sub(r'', strings[44], count=subcount[33]) regexs[67].sub( r'', 'zrah_arj zrah_arj_gbttyr zrah_gbttyr', count=subcount[67]) regexs[67].sub( r'', 'zrah_byq zrah_byq_gbttyr zrah_gbttyr', count=subcount[67]) regexs[8].search(r'102n9o0o9pq60132qn0337rr867p75953502q2s27s2s5r98') regexs[8].search(r'144631658.0.10.1231364380') regexs[8].search( r'144631658.1231364380.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[8].search( r'144631658.3931862196947939300.1231364380.1231364380.1231364380.1') regexs[8].search(r'441326q33660') regexs[8].search(r'SbeprqRkcvengvba=633669341278771470') regexs[8].search(strings[45]) regexs[8].search(strings[46]) regexs[8].search(r'AFP_zp_dfctwzssrwh-aowb_80=441326q33660') regexs[8].search( r'FrffvbaQQS2=102n9o0o9pq60132qn0337rr867p75953502q2s27s2s5r98') regexs[8].search( r'__hgzn=144631658.3931862196947939300.1231364380.1231364380.1231364380.1') regexs[8].search(r'__hgzo=144631658.0.10.1231364380') regexs[8].search( r'__hgzm=144631658.1231364380.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') for i in range(4): regexs[14].sub(r'', ' yvfg1', count=subcount[14]) regexs[15].sub(r'', ' yvfg1', count=subcount[15]) regexs[14].sub(r'', ' yvfg2', count=subcount[14]) regexs[15].sub(r'', ' yvfg2', count=subcount[15]) regexs[14].sub(r'', ' frneputebhc1', count=subcount[14]) regexs[15].sub(r'', ' frneputebhc1', count=subcount[15]) regexs[68].sub(r'', strings[47], count=subcount[68]) regexs[18].sub(r'', strings[47], count=subcount[18]) re.sub(r'&', '', '', count=0) regexs[35].sub(r'', '', count=subcount[35]) regexs[63].sub(r'', '(..-{0})(|(d+)|)', count=subcount[63]) regexs[18].sub(r'', strings[48], count=subcount[18]) regexs[56].sub( r'', '//vzt.jro.qr/vij/FC/${cngu}/${anzr}/${inyhr}?gf=${abj}', count=subcount[56]) re.sub(r'(\$\{anzr\})|(\$anzr\b)', '', '//vzt.jro.qr/vij/FC/tzk_uc/${anzr}/${inyhr}?gf=${abj}', count=0) regexs[69].sub( r'', 'Jvaqbjf Yvir Ubgznvy{1}', count=subcount[69]) regexs[63].sub( r'', '{0}{1}', count=subcount[63]) regexs[69].sub( r'', '{1}', count=subcount[69]) regexs[63].sub( r'', '{1}', count=subcount[63]) regexs[15].sub(r'', 'Vzntrf', count=subcount[15]) regexs[15].sub(r'', 'ZFA', count=subcount[15]) regexs[15].sub(r'', 'Zncf', count=subcount[15]) regexs[39].sub(r'', 'Zbq-Vasb-Vasb-WninFpevcgUvag', count=subcount[39]) regexs[15].sub(r'', 'Arjf', count=subcount[15]) regexs[32].split(strings[49]) regexs[32].split(strings[50]) regexs[15].sub(r'', 'Ivqrb', count=subcount[15]) regexs[15].sub(r'', 'Jro', count=subcount[15]) regexs[39].sub(r'', 'n', count=subcount[39]) regexs[70].split(r'nwnkFgneg') regexs[70].split(r'nwnkFgbc') regexs[14].sub(r'', 'ovaq', count=subcount[14]) regexs[15].sub(r'', 'ovaq', count=subcount[15]) regexs[63].sub( r'', 'oevatf lbh zber. Zber fcnpr (5TO), zber frphevgl, fgvyy serr.', count=subcount[63]) regexs[14].sub(r'', 'puvyq p1 svefg qrpx', count=subcount[14]) regexs[15].sub(r'', 'puvyq p1 svefg qrpx', count=subcount[15]) regexs[14].sub(r'', 'puvyq p1 svefg qbhoyr2', count=subcount[14]) regexs[15].sub(r'', 'puvyq p1 svefg qbhoyr2', count=subcount[15]) regexs[14].sub(r'', 'puvyq p2 ynfg', count=subcount[14]) regexs[15].sub(r'', 'puvyq p2 ynfg', count=subcount[15]) regexs[14].sub(r'', 'puvyq p2', count=subcount[14]) regexs[15].sub(r'', 'puvyq p2', count=subcount[15]) regexs[14].sub(r'', 'puvyq p3', count=subcount[14]) regexs[15].sub(r'', 'puvyq p3', count=subcount[15]) regexs[14].sub(r'', 'puvyq p4 ynfg', count=subcount[14]) regexs[15].sub(r'', 'puvyq p4 ynfg', count=subcount[15]) regexs[14].sub(r'', 'pbclevtug', count=subcount[14]) regexs[15].sub(r'', 'pbclevtug', count=subcount[15]) regexs[14].sub(r'', 'qZFAZR_1', count=subcount[14]) regexs[15].sub(r'', 'qZFAZR_1', count=subcount[15]) regexs[14].sub(r'', 'qbhoyr2 ps', count=subcount[14]) regexs[15].sub(r'', 'qbhoyr2 ps', count=subcount[15]) regexs[14].sub(r'', 'qbhoyr2', count=subcount[14]) regexs[15].sub(r'', 'qbhoyr2', count=subcount[15]) regexs[14].sub(r'', 'uqy_arj', count=subcount[14]) regexs[15].sub(r'', 'uqy_arj', count=subcount[15]) regexs[30].sub(r'', 'uc_fubccvatobk', count=subcount[30]) regexs[29].sub(r'', 'ugzy%2Rvq', count=subcount[29]) regexs[30].sub(r'', 'ugzy%2Rvq', count=subcount[30]) regexs[33].sub(r'', strings[51], count=subcount[33]) regexs[71].sub( r'', 'uggc://wf.hv-cbegny.qr/tzk/ubzr/wf/20080602/cebgbglcr.wf${4}${5}', count=subcount[71]) regexs[72].sub( r'', 'uggc://wf.hv-cbegny.qr/tzk/ubzr/wf/20080602/cebgbglcr.wf${5}', count=subcount[72]) regexs[73].sub(r'', strings[52], count=subcount[73]) regexs[69].sub( r'', 'uggc://zfacbegny.112.2b7.arg/o/ff/zfacbegnyubzr/1/U.7-cqi-2/f55332979829981?[NDO]&{1}&{2}&[NDR]', count=subcount[69]) regexs[14].sub(r'', 'vztZFSG', count=subcount[14]) regexs[15].sub(r'', 'vztZFSG', count=subcount[15]) regexs[14].sub(r'', 'zfasbbg1 ps', count=subcount[14]) regexs[15].sub(r'', 'zfasbbg1 ps', count=subcount[15]) regexs[14].sub(r'', strings[53], count=subcount[14]) regexs[15].sub(r'', strings[53], count=subcount[15]) regexs[14].sub( r'', 'cnerag puebzr6 fvatyr1 gno fryrpgrq ovaq', count=subcount[14]) regexs[15].sub( r'', 'cnerag puebzr6 fvatyr1 gno fryrpgrq ovaq', count=subcount[15]) regexs[14].sub(r'', 'cevznel', count=subcount[14]) regexs[15].sub(r'', 'cevznel', count=subcount[15]) regexs[30].sub(r'', 'erpgnatyr', count=subcount[30]) regexs[14].sub(r'', 'frpbaqnel', count=subcount[14]) regexs[15].sub(r'', 'frpbaqnel', count=subcount[15]) regexs[70].split(r'haybnq') regexs[63].sub(r'', '{0}{1}1', count=subcount[63]) regexs[69].sub(r'', '|{1}1', count=subcount[69]) re.search(r'(..-HF)(\|(\d+)|)', 'xb-xe,ra-va,gu-gu', re.IGNORECASE) regexs[4].search(r'/ZlFcnprNccf/NccPnainf,45000012') regexs[8].search(r'144631658.0.10.1231367708') regexs[8].search( r'144631658.1231367708.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[8].search( r'144631658.2770915348920628700.1231367708.1231367708.1231367708.1') regexs[8].search(r'4413235p3660') regexs[8].search(r'441327q73660') regexs[8].search(r'9995p6rp12rrnr893334ro7nq70o7p64p69rqn844prs1473') regexs[8].search(r'SbeprqRkcvengvba=633669350559478880') regexs[8].search(strings[54]) regexs[8].search(strings[55]) regexs[8].search(r'AFP_zp_dfctwzs-aowb_80=441327q73660') regexs[8].search(r'AFP_zp_kkk-aowb_80=4413235p3660') regexs[8].search( r'FrffvbaQQS2=9995p6rp12rrnr893334ro7nq70o7p64p69rqn844prs1473') regexs[8].search( r'__hgzn=144631658.2770915348920628700.1231367708.1231367708.1231367708.1') regexs[8].search(r'__hgzo=144631658.0.10.1231367708') regexs[8].search( r'__hgzm=144631658.1231367708.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[34].search(strings[49]) regexs[34].search(strings[50]) re.search(r'ZFVR\s+5[.]01', strings[0]) re.search(r'HF(?=;)', strings[56], re.IGNORECASE) regexs[74].search(strings[47]) regexs[28].search(r'svefg npgvir svefgNpgvir') regexs[28].search(r'ynfg') re.search( r'\bp:(..)', 'm:94043|yn:37.4154|yb:-122.0585|p:HF', re.IGNORECASE) regexs[75].search(strings[57]) regexs[75].search(strings[58]) regexs[76].search(strings[57]) regexs[76].search(strings[58]) regexs[77].search(strings[57]) regexs[77].search(strings[58]) re.search(r'\bhfucce\s*=\s*([^;]*)', strings[59], re.IGNORECASE) regexs[78].search(strings[57]) regexs[78].search(strings[58]) re.search(r'\bjci\s*=\s*([^;]*)', strings[59], re.IGNORECASE) regexs[79].search(strings[58]) regexs[79].search(strings[60]) regexs[79].search(strings[59]) re.search( r'\|p:([a-z]{2})', 'm:94043|yn:37.4154|yb:-122.0585|p:HF|ue:1', re.IGNORECASE) regexs[80].search(strings[47]) regexs[61].search(r'cebgbglcr.wf') regexs[68].search(strings[47]) regexs[81].search(strings[47]) regexs[82].search(strings[47]) re.search(r'^Fubpxjnir Synfu (\d)', strings[1]) re.search(r'^Fubpxjnir Synfu (\d+)', strings[1]) regexs[83].search(r'[bowrpg tybony]') regexs[62].search(strings[47]) regexs[84].search(strings[61]) regexs[84].search(strings[62]) re.search(r'jroxvg', strings[63]) def block10(): for i in range(3): regexs[39].sub(r'', '%3Szxg=ra-HF', count=subcount[39]) regexs[40].sub(r'', '-8', count=subcount[40]) regexs[10].sub(r'', '-8', count=subcount[10]) regexs[51].sub(r'', '-8', count=subcount[51]) regexs[52].sub(r'', '-8', count=subcount[52]) regexs[53].sub(r'', '-8', count=subcount[53]) regexs[39].sub(r'', '-8', count=subcount[39]) regexs[54].sub(r'', '-8', count=subcount[54]) regexs[40].sub(r'', '1.5', count=subcount[40]) regexs[10].sub(r'', '1.5', count=subcount[10]) regexs[51].sub(r'', '1.5', count=subcount[51]) regexs[52].sub(r'', '1.5', count=subcount[52]) regexs[53].sub(r'', '1.5', count=subcount[53]) regexs[39].sub(r'', '1.5', count=subcount[39]) regexs[54].sub(r'', '1.5', count=subcount[54]) regexs[40].sub(r'', '1024k768', count=subcount[40]) regexs[10].sub(r'', '1024k768', count=subcount[10]) regexs[51].sub(r'', '1024k768', count=subcount[51]) regexs[52].sub(r'', '1024k768', count=subcount[52]) regexs[53].sub(r'', '1024k768', count=subcount[53]) regexs[39].sub(r'', '1024k768', count=subcount[39]) regexs[54].sub(r'', '1024k768', count=subcount[54]) regexs[40].sub(r'', strings[64], count=subcount[40]) regexs[10].sub(r'', strings[64], count=subcount[10]) regexs[51].sub(r'', strings[64], count=subcount[51]) regexs[52].sub(r'', strings[64], count=subcount[52]) regexs[53].sub(r'', strings[64], count=subcount[53]) regexs[39].sub(r'', strings[64], count=subcount[39]) regexs[54].sub(r'', strings[64], count=subcount[54]) regexs[40].sub(r'', '14', count=subcount[40]) regexs[10].sub(r'', '14', count=subcount[10]) regexs[51].sub(r'', '14', count=subcount[51]) regexs[52].sub(r'', '14', count=subcount[52]) regexs[53].sub(r'', '14', count=subcount[53]) regexs[39].sub(r'', '14', count=subcount[39]) regexs[54].sub(r'', '14', count=subcount[54]) regexs[40].sub(r'', '24', count=subcount[40]) regexs[10].sub(r'', '24', count=subcount[10]) regexs[51].sub(r'', '24', count=subcount[51]) regexs[52].sub(r'', '24', count=subcount[52]) regexs[53].sub(r'', '24', count=subcount[53]) regexs[39].sub(r'', '24', count=subcount[39]) regexs[54].sub(r'', '24', count=subcount[54]) regexs[40].sub(r'', strings[65], count=subcount[40]) regexs[10].sub(r'', strings[65], count=subcount[10]) regexs[51].sub(r'', strings[65], count=subcount[51]) regexs[52].sub(r'', strings[65], count=subcount[52]) regexs[53].sub(r'', strings[65], count=subcount[53]) regexs[39].sub(r'', strings[65], count=subcount[39]) regexs[54].sub(r'', strings[65], count=subcount[54]) regexs[40].sub(r'', strings[66], count=subcount[40]) regexs[10].sub(r'', strings[66], count=subcount[10]) regexs[51].sub(r'', strings[66], count=subcount[51]) regexs[52].sub(r'', strings[66], count=subcount[52]) regexs[53].sub(r'', strings[66], count=subcount[53]) regexs[39].sub(r'', strings[66], count=subcount[39]) regexs[54].sub(r'', strings[66], count=subcount[54]) regexs[40].sub(r'', '9.0', count=subcount[40]) regexs[10].sub(r'', '9.0', count=subcount[10]) regexs[51].sub(r'', '9.0', count=subcount[51]) regexs[52].sub(r'', '9.0', count=subcount[52]) regexs[53].sub(r'', '9.0', count=subcount[53]) regexs[39].sub(r'', '9.0', count=subcount[39]) regexs[54].sub(r'', '9.0', count=subcount[54]) regexs[40].sub(r'', '994k634', count=subcount[40]) regexs[10].sub(r'', '994k634', count=subcount[10]) regexs[51].sub(r'', '994k634', count=subcount[51]) regexs[52].sub(r'', '994k634', count=subcount[52]) regexs[53].sub(r'', '994k634', count=subcount[53]) regexs[39].sub(r'', '994k634', count=subcount[39]) regexs[54].sub(r'', '994k634', count=subcount[54]) regexs[40].sub(r'', '?zxg=ra-HF', count=subcount[40]) regexs[10].sub(r'', '?zxg=ra-HF', count=subcount[10]) regexs[51].sub(r'', '?zxg=ra-HF', count=subcount[51]) regexs[52].sub(r'', '?zxg=ra-HF', count=subcount[52]) regexs[53].sub(r'', '?zxg=ra-HF', count=subcount[53]) regexs[54].sub(r'', '?zxg=ra-HF', count=subcount[54]) regexs[25].sub(r'', 'PAA.pbz', count=subcount[25]) regexs[12].sub(r'', 'PAA.pbz', count=subcount[12]) regexs[39].sub(r'', 'PAA.pbz', count=subcount[39]) regexs[25].sub(r'', 'Qngr & Gvzr', count=subcount[25]) regexs[12].sub(r'', 'Qngr & Gvzr', count=subcount[12]) regexs[39].sub(r'', 'Qngr & Gvzr', count=subcount[39]) regexs[40].sub(r'', 'Frnepu Zvpebfbsg.pbz', count=subcount[40]) regexs[54].sub(r'', 'Frnepu Zvpebfbsg.pbz', count=subcount[54]) regexs[10].sub(r'', strings[67], count=subcount[10]) regexs[51].sub(r'', strings[67], count=subcount[51]) regexs[52].sub(r'', strings[67], count=subcount[52]) regexs[53].sub(r'', strings[67], count=subcount[53]) regexs[39].sub(r'', strings[67], count=subcount[39]) regexs[32].split(strings[68]) regexs[32].split(strings[69]) regexs[52].sub(r'', strings[70], count=subcount[52]) regexs[53].sub(r'', strings[70], count=subcount[53]) regexs[39].sub(r'', strings[70], count=subcount[39]) regexs[40].sub(r'', strings[71], count=subcount[40]) regexs[10].sub(r'', strings[71], count=subcount[10]) regexs[51].sub(r'', strings[71], count=subcount[51]) regexs[54].sub(r'', strings[71], count=subcount[54]) regexs[25].sub(r'', 'Jrngure', count=subcount[25]) regexs[12].sub(r'', 'Jrngure', count=subcount[12]) regexs[39].sub(r'', 'Jrngure', count=subcount[39]) regexs[25].sub(r'', 'LbhGhor', count=subcount[25]) regexs[12].sub(r'', 'LbhGhor', count=subcount[12]) regexs[39].sub(r'', 'LbhGhor', count=subcount[39]) regexs[33].sub(r'', strings[72], count=subcount[33]) re.sub(r'^erzbgr_vsenzr_', '', 'erzbgr_vsenzr_1', count=1) regexs[40].sub(r'', strings[73], count=subcount[40]) regexs[10].sub(r'', strings[73], count=subcount[10]) regexs[51].sub(r'', strings[73], count=subcount[51]) regexs[52].sub(r'', strings[73], count=subcount[52]) regexs[53].sub(r'', strings[73], count=subcount[53]) regexs[39].sub(r'', strings[73], count=subcount[39]) regexs[54].sub(r'', strings[73], count=subcount[54]) regexs[40].sub(r'', strings[74], count=subcount[40]) regexs[10].sub(r'', strings[74], count=subcount[10]) regexs[51].sub(r'', strings[74], count=subcount[51]) regexs[52].sub(r'', strings[74], count=subcount[52]) regexs[53].sub(r'', strings[74], count=subcount[53]) regexs[39].sub(r'', strings[74], count=subcount[39]) regexs[54].sub(r'', strings[74], count=subcount[54]) re.sub(r'\-', '', 'lhv-h', count=0) regexs[9].search(r'p') regexs[9].search(r'qz p') regexs[9].search(r'zbqynory') regexs[9].search(r'lhv-h svefg') regexs[8].search(r'144631658.0.10.1231365779') regexs[8].search( r'144631658.1231365779.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[8].search( r'144631658.1877536177953918500.1231365779.1231365779.1231365779.1') regexs[8].search(strings[75]) regexs[8].search(strings[76]) regexs[8].search( r'__hgzn=144631658.1877536177953918500.1231365779.1231365779.1231365779.1') regexs[8].search(r'__hgzo=144631658.0.10.1231365779') regexs[8].search( r'__hgzm=144631658.1231365779.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[34].search(strings[68]) regexs[34].search(strings[69]) re.search(r'^$', '') regexs[31].search(r'qr') re.search(r'^znk\d+$', '') re.search(r'^zva\d+$', '') re.search(r'^erfgber$', '') regexs[85].search(r'zbqobkva zbqobk_abcnqqvat ') regexs[85].search(r'zbqgvgyr') regexs[85].search(r'eaq_zbqobkva ') regexs[85].search(r'eaq_zbqgvgyr ') re.search(r'frpgvba\d+_pbagragf', 'obggbz_ani') def block11(): for i in range(2): regexs[18].sub(r'', ' .pybfr', count=subcount[18]) regexs[18].sub(r'', ' n.svryqOgaPnapry', count=subcount[18]) regexs[18].sub(r'', ' qg', count=subcount[18]) regexs[68].sub(r'', strings[77], count=subcount[68]) regexs[18].sub(r'', strings[77], count=subcount[18]) regexs[39].sub(r'', '', count=subcount[39]) re.sub(r'^', '', '', count=1) regexs[86].split(r'') regexs[39].sub(r'', '*', count=subcount[39]) regexs[68].sub(r'', '*', count=subcount[68]) regexs[18].sub(r'', '*', count=subcount[18]) regexs[68].sub(r'', '.pybfr', count=subcount[68]) regexs[18].sub(r'', '.pybfr', count=subcount[18]) regexs[87].sub( r'', '//vzt.jro.qr/vij/FC/tzk_uc/fperra/${inyhr}?gf=${abj}', count=subcount[87]) regexs[88].sub( r'', '//vzt.jro.qr/vij/FC/tzk_uc/fperra/1024?gf=${abj}', count=subcount[88]) regexs[87].sub( r'', '//vzt.jro.qr/vij/FC/tzk_uc/jvafvmr/${inyhr}?gf=${abj}', count=subcount[87]) regexs[88].sub( r'', '//vzt.jro.qr/vij/FC/tzk_uc/jvafvmr/992/608?gf=${abj}', count=subcount[88]) regexs[30].sub(r'', '300k120', count=subcount[30]) regexs[30].sub(r'', '300k250', count=subcount[30]) regexs[30].sub(r'', '310k120', count=subcount[30]) regexs[30].sub(r'', '310k170', count=subcount[30]) regexs[30].sub(r'', '310k250', count=subcount[30]) re.sub(r'^.*\.(.*)\s.*$', '', '9.0 e115', count=1) regexs[2].sub(r'', 'Nppbeqvba', count=subcount[2]) regexs[89].sub(r'', 'Nxghryy\x0a', count=subcount[89]) regexs[90].sub(r'', 'Nxghryy\x0a', count=subcount[90]) regexs[2].sub(r'', 'Nccyvpngvba', count=subcount[2]) regexs[89].sub(r'', 'Oyvpxchaxg\x0a', count=subcount[89]) regexs[90].sub(r'', 'Oyvpxchaxg\x0a', count=subcount[90]) regexs[89].sub(r'', 'Svanamra\x0a', count=subcount[89]) regexs[90].sub(r'', 'Svanamra\x0a', count=subcount[90]) regexs[89].sub(r'', 'Tnzrf\x0a', count=subcount[89]) regexs[90].sub(r'', 'Tnzrf\x0a', count=subcount[90]) regexs[89].sub(r'', 'Ubebfxbc\x0a', count=subcount[89]) regexs[90].sub(r'', 'Ubebfxbc\x0a', count=subcount[90]) regexs[89].sub(r'', 'Xvab\x0a', count=subcount[89]) regexs[90].sub(r'', 'Xvab\x0a', count=subcount[90]) regexs[2].sub(r'', 'Zbqhyrf', count=subcount[2]) regexs[89].sub(r'', 'Zhfvx\x0a', count=subcount[89]) regexs[90].sub(r'', 'Zhfvx\x0a', count=subcount[90]) regexs[89].sub(r'', 'Anpuevpugra\x0a', count=subcount[89]) regexs[90].sub(r'', 'Anpuevpugra\x0a', count=subcount[90]) regexs[2].sub(r'', 'Cuk', count=subcount[2]) regexs[70].split(r'ErdhrfgSvavfu') regexs[70].split(r'ErdhrfgSvavfu.NWNK.Cuk') regexs[89].sub(r'', 'Ebhgr\x0a', count=subcount[89]) regexs[90].sub(r'', 'Ebhgr\x0a', count=subcount[90]) regexs[32].split(strings[78]) regexs[32].split(strings[79]) regexs[32].split(strings[80]) regexs[32].split(strings[81]) regexs[89].sub(r'', 'Fcbeg\x0a', count=subcount[89]) regexs[90].sub(r'', 'Fcbeg\x0a', count=subcount[90]) regexs[89].sub(r'', 'GI-Fcbg\x0a', count=subcount[89]) regexs[90].sub(r'', 'GI-Fcbg\x0a', count=subcount[90]) regexs[89].sub(r'', 'Gbhe\x0a', count=subcount[89]) regexs[90].sub(r'', 'Gbhe\x0a', count=subcount[90]) regexs[89].sub(r'', 'Hagreunyghat\x0a', count=subcount[89]) regexs[90].sub(r'', 'Hagreunyghat\x0a', count=subcount[90]) regexs[89].sub(r'', 'Ivqrb\x0a', count=subcount[89]) regexs[90].sub(r'', 'Ivqrb\x0a', count=subcount[90]) regexs[89].sub(r'', 'Jrggre\x0a', count=subcount[89]) regexs[90].sub(r'', 'Jrggre\x0a', count=subcount[90]) regexs[68].sub(r'', strings[82], count=subcount[68]) regexs[18].sub(r'', strings[82], count=subcount[18]) regexs[68].sub(r'', strings[83], count=subcount[68]) regexs[18].sub(r'', strings[83], count=subcount[18]) regexs[68].sub(r'', strings[84], count=subcount[68]) regexs[18].sub(r'', strings[84], count=subcount[18]) regexs[30].sub(r'', 'nqiFreivprObk', count=subcount[30]) regexs[30].sub(r'', 'nqiFubccvatObk', count=subcount[30]) regexs[39].sub(r'', 'nwnk', count=subcount[39]) regexs[40].sub(r'', 'nxghryy', count=subcount[40]) regexs[41].sub(r'', 'nxghryy', count=subcount[41]) regexs[42].sub(r'', 'nxghryy', count=subcount[42]) regexs[43].sub(r'', 'nxghryy', count=subcount[43]) regexs[44].sub(r'', 'nxghryy', count=subcount[44]) regexs[45].sub(r'', 'nxghryy', count=subcount[45]) regexs[46].sub(r'', 'nxghryy', count=subcount[46]) regexs[47].sub(r'', 'nxghryy', count=subcount[47]) regexs[48].sub(r'', 'nxghryy', count=subcount[48]) regexs[40].sub(r'', strings[85], count=subcount[40]) regexs[41].sub(r'', strings[85], count=subcount[41]) regexs[42].sub(r'', strings[85], count=subcount[42]) regexs[43].sub(r'', strings[85], count=subcount[43]) regexs[44].sub(r'', strings[85], count=subcount[44]) regexs[45].sub(r'', strings[85], count=subcount[45]) regexs[46].sub(r'', strings[85], count=subcount[46]) regexs[47].sub(r'', strings[85], count=subcount[47]) regexs[48].sub(r'', strings[85], count=subcount[48]) regexs[29].sub(r'', 'pngrtbel', count=subcount[29]) regexs[30].sub(r'', 'pngrtbel', count=subcount[30]) regexs[39].sub(r'', 'pybfr', count=subcount[39]) regexs[39].sub(r'', 'qvi', count=subcount[39]) regexs[68].sub(r'', strings[86], count=subcount[68]) regexs[18].sub(r'', strings[86], count=subcount[18]) regexs[39].sub(r'', 'qg', count=subcount[39]) regexs[68].sub(r'', 'qg', count=subcount[68]) regexs[18].sub(r'', 'qg', count=subcount[18]) regexs[39].sub(r'', 'rzorq', count=subcount[39]) regexs[68].sub(r'', 'rzorq', count=subcount[68]) regexs[18].sub(r'', 'rzorq', count=subcount[18]) regexs[39].sub(r'', 'svryqOga', count=subcount[39]) regexs[39].sub(r'', 'svryqOgaPnapry', count=subcount[39]) regexs[20].split(r'svz_zlfcnpr_nccf-pnainf,svz_zlfcnpr_havgrq-fgngrf') regexs[40].sub(r'', 'svanamra', count=subcount[40]) regexs[41].sub(r'', 'svanamra', count=subcount[41]) regexs[42].sub(r'', 'svanamra', count=subcount[42]) regexs[43].sub(r'', 'svanamra', count=subcount[43]) regexs[44].sub(r'', 'svanamra', count=subcount[44]) regexs[45].sub(r'', 'svanamra', count=subcount[45]) regexs[46].sub(r'', 'svanamra', count=subcount[46]) regexs[47].sub(r'', 'svanamra', count=subcount[47]) regexs[48].sub(r'', 'svanamra', count=subcount[48]) regexs[70].split(r'sbphf') regexs[70].split(r'sbphf.gno sbphfva.gno') regexs[70].split(r'sbphfva') regexs[39].sub(r'', 'sbez', count=subcount[39]) regexs[68].sub(r'', 'sbez.nwnk', count=subcount[68]) regexs[18].sub(r'', 'sbez.nwnk', count=subcount[18]) regexs[40].sub(r'', 'tnzrf', count=subcount[40]) regexs[41].sub(r'', 'tnzrf', count=subcount[41]) regexs[42].sub(r'', 'tnzrf', count=subcount[42]) regexs[43].sub(r'', 'tnzrf', count=subcount[43]) regexs[44].sub(r'', 'tnzrf', count=subcount[44]) regexs[45].sub(r'', 'tnzrf', count=subcount[45]) regexs[46].sub(r'', 'tnzrf', count=subcount[46]) regexs[47].sub(r'', 'tnzrf', count=subcount[47]) regexs[48].sub(r'', 'tnzrf', count=subcount[48]) regexs[30].sub(r'', 'ubzrcntr', count=subcount[30]) regexs[40].sub(r'', 'ubebfxbc', count=subcount[40]) regexs[41].sub(r'', 'ubebfxbc', count=subcount[41]) regexs[42].sub(r'', 'ubebfxbc', count=subcount[42]) regexs[43].sub(r'', 'ubebfxbc', count=subcount[43]) regexs[44].sub(r'', 'ubebfxbc', count=subcount[44]) regexs[45].sub(r'', 'ubebfxbc', count=subcount[45]) regexs[46].sub(r'', 'ubebfxbc', count=subcount[46]) regexs[47].sub(r'', 'ubebfxbc', count=subcount[47]) regexs[48].sub(r'', 'ubebfxbc', count=subcount[48]) regexs[30].sub(r'', 'uc_cebzbobk_ugzy%2Puc_cebzbobk_vzt', count=subcount[30]) regexs[30].sub(r'', 'uc_erpgnatyr', count=subcount[30]) regexs[33].sub(r'', strings[87], count=subcount[33]) regexs[33].sub(r'', strings[88], count=subcount[33]) regexs[71].sub( r'', 'uggc://wf.hv-cbegny.qr/tzk/ubzr/wf/20080602/onfr.wf${4}${5}', count=subcount[71]) regexs[72].sub( r'', 'uggc://wf.hv-cbegny.qr/tzk/ubzr/wf/20080602/onfr.wf${5}', count=subcount[72]) regexs[71].sub( r'', 'uggc://wf.hv-cbegny.qr/tzk/ubzr/wf/20080602/qlaYvo.wf${4}${5}', count=subcount[71]) regexs[72].sub( r'', 'uggc://wf.hv-cbegny.qr/tzk/ubzr/wf/20080602/qlaYvo.wf${5}', count=subcount[72]) regexs[71].sub( r'', 'uggc://wf.hv-cbegny.qr/tzk/ubzr/wf/20080602/rssrpgYvo.wf${4}${5}', count=subcount[71]) regexs[72].sub( r'', 'uggc://wf.hv-cbegny.qr/tzk/ubzr/wf/20080602/rssrpgYvo.wf${5}', count=subcount[72]) regexs[73].sub(r'', strings[89], count=subcount[73]) regexs[69].sub( r'', 'uggc://zfacbegny.112.2b7.arg/o/ff/zfacbegnyubzr/1/U.7-cqi-2/f55023338617756?[NDO]&{1}&{2}&[NDR]', count=subcount[69]) regexs[23].sub(r'', strings[6], count=subcount[23]) regexs[40].sub(r'', 'xvab', count=subcount[40]) regexs[41].sub(r'', 'xvab', count=subcount[41]) regexs[42].sub(r'', 'xvab', count=subcount[42]) regexs[43].sub(r'', 'xvab', count=subcount[43]) regexs[44].sub(r'', 'xvab', count=subcount[44]) regexs[45].sub(r'', 'xvab', count=subcount[45]) regexs[46].sub(r'', 'xvab', count=subcount[46]) regexs[47].sub(r'', 'xvab', count=subcount[47]) regexs[48].sub(r'', 'xvab', count=subcount[48]) regexs[70].split(r'ybnq') regexs[18].sub( r'', 'zrqvnzbqgno lhv-anifrg lhv-anifrg-gbc', count=subcount[18]) regexs[39].sub(r'', 'zrgn', count=subcount[39]) regexs[68].sub(r'', strings[90], count=subcount[68]) regexs[18].sub(r'', strings[90], count=subcount[18]) regexs[70].split(r'zbhfrzbir') regexs[70].split(r'zbhfrzbir.gno') re.sub(r'^.*jroxvg\/(\d+(\.\d+)?).*$', '', strings[63], count=1) regexs[40].sub(r'', 'zhfvx', count=subcount[40]) regexs[41].sub(r'', 'zhfvx', count=subcount[41]) regexs[42].sub(r'', 'zhfvx', count=subcount[42]) regexs[43].sub(r'', 'zhfvx', count=subcount[43]) regexs[44].sub(r'', 'zhfvx', count=subcount[44]) regexs[45].sub(r'', 'zhfvx', count=subcount[45]) regexs[46].sub(r'', 'zhfvx', count=subcount[46]) regexs[47].sub(r'', 'zhfvx', count=subcount[47]) regexs[48].sub(r'', 'zhfvx', count=subcount[48]) regexs[52].sub(r'', 'zlfcnpr_nccf_pnainf', count=subcount[52]) regexs[40].sub(r'', strings[91], count=subcount[40]) regexs[41].sub(r'', strings[91], count=subcount[41]) regexs[42].sub(r'', strings[91], count=subcount[42]) regexs[43].sub(r'', strings[91], count=subcount[43]) regexs[44].sub(r'', strings[91], count=subcount[44]) regexs[45].sub(r'', strings[91], count=subcount[45]) regexs[46].sub(r'', strings[91], count=subcount[46]) regexs[47].sub(r'', strings[91], count=subcount[47]) regexs[48].sub(r'', strings[91], count=subcount[48]) regexs[39].sub(r'', 'anzr', count=subcount[39]) # This prints something different to the V8 version # The V8 version is escaping different things in the string that # has the substitutions performed on it. # # V8 treats /\S/ like / + escaped S + / # Python treats it like / + \ + S + / re.sub(r'\b\w+\b', '', strings[92], count=0) regexs[39].sub(r'', 'bow-nppbeqvba', count=subcount[39]) regexs[39].sub(r'', 'bowrpg', count=subcount[39]) regexs[68].sub(r'', 'bowrpg', count=subcount[68]) regexs[18].sub(r'', 'bowrpg', count=subcount[18]) regexs[29].sub(r'', 'cnenzf%2Rfglyrf', count=subcount[29]) regexs[30].sub(r'', 'cnenzf%2Rfglyrf', count=subcount[30]) regexs[30].sub(r'', 'cbchc', count=subcount[30]) regexs[40].sub(r'', 'ebhgr', count=subcount[40]) regexs[41].sub(r'', 'ebhgr', count=subcount[41]) regexs[42].sub(r'', 'ebhgr', count=subcount[42]) regexs[43].sub(r'', 'ebhgr', count=subcount[43]) regexs[44].sub(r'', 'ebhgr', count=subcount[44]) regexs[45].sub(r'', 'ebhgr', count=subcount[45]) regexs[46].sub(r'', 'ebhgr', count=subcount[46]) regexs[47].sub(r'', 'ebhgr', count=subcount[47]) regexs[48].sub(r'', 'ebhgr', count=subcount[48]) regexs[30].sub(r'', 'freivprobk_uc', count=subcount[30]) regexs[30].sub(r'', 'fubccvatobk_uc', count=subcount[30]) regexs[39].sub(r'', 'fubhgobk', count=subcount[39]) regexs[40].sub(r'', 'fcbeg', count=subcount[40]) regexs[41].sub(r'', 'fcbeg', count=subcount[41]) regexs[42].sub(r'', 'fcbeg', count=subcount[42]) regexs[43].sub(r'', 'fcbeg', count=subcount[43]) regexs[44].sub(r'', 'fcbeg', count=subcount[44]) regexs[45].sub(r'', 'fcbeg', count=subcount[45]) regexs[46].sub(r'', 'fcbeg', count=subcount[46]) regexs[47].sub(r'', 'fcbeg', count=subcount[47]) regexs[48].sub(r'', 'fcbeg', count=subcount[48]) regexs[40].sub(r'', 'gbhe', count=subcount[40]) regexs[41].sub(r'', 'gbhe', count=subcount[41]) regexs[42].sub(r'', 'gbhe', count=subcount[42]) regexs[43].sub(r'', 'gbhe', count=subcount[43]) regexs[44].sub(r'', 'gbhe', count=subcount[44]) regexs[45].sub(r'', 'gbhe', count=subcount[45]) regexs[46].sub(r'', 'gbhe', count=subcount[46]) regexs[47].sub(r'', 'gbhe', count=subcount[47]) regexs[48].sub(r'', 'gbhe', count=subcount[48]) regexs[40].sub(r'', 'gi-fcbg', count=subcount[40]) regexs[41].sub(r'', 'gi-fcbg', count=subcount[41]) regexs[42].sub(r'', 'gi-fcbg', count=subcount[42]) regexs[43].sub(r'', 'gi-fcbg', count=subcount[43]) regexs[44].sub(r'', 'gi-fcbg', count=subcount[44]) regexs[45].sub(r'', 'gi-fcbg', count=subcount[45]) regexs[46].sub(r'', 'gi-fcbg', count=subcount[46]) regexs[47].sub(r'', 'gi-fcbg', count=subcount[47]) regexs[48].sub(r'', 'gi-fcbg', count=subcount[48]) regexs[39].sub(r'', 'glcr', count=subcount[39]) re.sub(r'\/', '', 'haqrsvarq', count=0) regexs[40].sub(r'', strings[93], count=subcount[40]) regexs[41].sub(r'', strings[93], count=subcount[41]) regexs[42].sub(r'', strings[93], count=subcount[42]) regexs[43].sub(r'', strings[93], count=subcount[43]) regexs[44].sub(r'', strings[93], count=subcount[44]) regexs[45].sub(r'', strings[93], count=subcount[45]) regexs[46].sub(r'', strings[93], count=subcount[46]) regexs[47].sub(r'', strings[93], count=subcount[47]) regexs[48].sub(r'', strings[93], count=subcount[48]) regexs[40].sub(r'', 'ivqrb', count=subcount[40]) regexs[41].sub(r'', 'ivqrb', count=subcount[41]) regexs[42].sub(r'', 'ivqrb', count=subcount[42]) regexs[43].sub(r'', 'ivqrb', count=subcount[43]) regexs[44].sub(r'', 'ivqrb', count=subcount[44]) regexs[45].sub(r'', 'ivqrb', count=subcount[45]) regexs[46].sub(r'', 'ivqrb', count=subcount[46]) regexs[47].sub(r'', 'ivqrb', count=subcount[47]) regexs[48].sub(r'', 'ivqrb', count=subcount[48]) regexs[86].split(r'ivfvgf=1') regexs[40].sub(r'', 'jrggre', count=subcount[40]) regexs[41].sub(r'', 'jrggre', count=subcount[41]) regexs[42].sub(r'', 'jrggre', count=subcount[42]) regexs[43].sub(r'', 'jrggre', count=subcount[43]) regexs[44].sub(r'', 'jrggre', count=subcount[44]) regexs[45].sub(r'', 'jrggre', count=subcount[45]) regexs[46].sub(r'', 'jrggre', count=subcount[46]) regexs[47].sub(r'', 'jrggre', count=subcount[47]) regexs[48].sub(r'', 'jrggre', count=subcount[48]) re.search(r'#[a-z0-9]+$', 'uggc://jjj.fpuhryreim.arg/Qrsnhyg', re.IGNORECASE) regexs[66].search(r'fryrpgrq') re.search(r'(?:^|\s+)lhv-ani(?:\s+|$)', 'sff lhv-ani') re.search(r'(?:^|\s+)lhv-anifrg(?:\s+|$)', 'zrqvnzbqgno lhv-anifrg') re.search(r'(?:^|\s+)lhv-anifrg-gbc(?:\s+|$)', 'zrqvnzbqgno lhv-anifrg') regexs[91].search(r'GnoThvq') regexs[91].search(r'thvq') re.search(r'(pbzcngvoyr|jroxvg)', strings[63]) re.search(r'.+(?:ei|vg|en|vr)[\/: ]([\d.]+)', strings[63]) regexs[8].search(r'144631658.0.10.1231365869') regexs[8].search(r'144631658.0.10.1231367054') regexs[8].search( r'144631658.1231365869.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[8].search( r'144631658.1231367054.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[8].search( r'144631658.1670816052019209000.1231365869.1231365869.1231365869.1') regexs[8].search( r'144631658.1796080716621419500.1231367054.1231367054.1231367054.1') regexs[8].search(strings[94]) regexs[8].search(strings[95]) regexs[8].search(strings[96]) regexs[8].search(strings[97]) regexs[8].search( r'__hgzn=144631658.1670816052019209000.1231365869.1231365869.1231365869.1') regexs[8].search( r'__hgzn=144631658.1796080716621419500.1231367054.1231367054.1231367054.1') regexs[8].search(r'__hgzo=144631658.0.10.1231365869') regexs[8].search(r'__hgzo=144631658.0.10.1231367054') regexs[8].search( r'__hgzm=144631658.1231365869.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[8].search( r'__hgzm=144631658.1231367054.1.1.hgzpfe=(qverpg)|hgzppa=(qverpg)|hgzpzq=(abar)') regexs[34].search(strings[78]) regexs[34].search(strings[79]) regexs[34].search(strings[81]) regexs[74].search(strings[77]) regexs[74].search(r'*') regexs[74].search(strings[82]) regexs[74].search(strings[83]) regexs[74].search(strings[86]) regexs[74].search(r'rzorq') regexs[74].search(r'sbez.nwnk') regexs[74].search(strings[90]) regexs[74].search(r'bowrpg') re.search(r'\/onfr.wf(\?.+)?$', '/uggc://wf.hv-cbegny.qr/tzk/ubzr/wf/20080602/onfr.wf') regexs[28].search(r'uvag ynfgUvag ynfg') regexs[75].search(r'') regexs[76].search(r'') regexs[77].search(r'') regexs[78].search(r'') regexs[80].search(strings[77]) regexs[80].search(r'*') regexs[80].search(r'.pybfr') regexs[80].search(strings[82]) regexs[80].search(strings[83]) regexs[80].search(strings[84]) regexs[80].search(strings[86]) regexs[80].search(r'qg') regexs[80].search(r'rzorq') regexs[80].search(r'sbez.nwnk') regexs[80].search(strings[90]) regexs[80].search(r'bowrpg') regexs[61].search(r'qlaYvo.wf') regexs[61].search(r'rssrpgYvo.wf') regexs[61].search(r'uggc://jjj.tzk.arg/qr/?fgnghf=uvajrvf') regexs[92].search(r' .pybfr') regexs[92].search(r' n.svryqOgaPnapry') regexs[92].search(r' qg') regexs[92].search(strings[48]) regexs[92].search(r'.nwnk') regexs[92].search(r'.svryqOga,n.svryqOgaPnapry') regexs[92].search(r'.svryqOgaPnapry') regexs[92].search(r'.bow-nppbeqvba qg') regexs[68].search(strings[77]) regexs[68].search(r'*') regexs[68].search(r'.pybfr') regexs[68].search(strings[82]) regexs[68].search(strings[83]) regexs[68].search(strings[84]) regexs[68].search(strings[86]) regexs[68].search(r'qg') regexs[68].search(r'rzorq') regexs[68].search(r'sbez.nwnk') regexs[68].search(strings[90]) regexs[68].search(r'bowrpg') regexs[93].search(r' .pybfr') regexs[93].search(r' n.svryqOgaPnapry') regexs[93].search(r' qg') regexs[93].search(strings[48]) regexs[93].search(r'.nwnk') regexs[93].search(r'.svryqOga,n.svryqOgaPnapry') regexs[93].search(r'.svryqOgaPnapry') regexs[93].search(r'.bow-nppbeqvba qg') regexs[81].search(strings[77]) regexs[81].search(r'*') regexs[81].search(strings[48]) regexs[81].search(r'.pybfr') regexs[81].search(strings[82]) regexs[81].search(strings[83]) regexs[81].search(strings[84]) regexs[81].search(strings[86]) regexs[81].search(r'qg') regexs[81].search(r'rzorq') regexs[81].search(r'sbez.nwnk') regexs[81].search(strings[90]) regexs[81].search(r'bowrpg') regexs[94].search(r' .pybfr') regexs[94].search(r' n.svryqOgaPnapry') regexs[94].search(r' qg') regexs[94].search(strings[48]) regexs[94].search(r'.nwnk') regexs[94].search(r'.svryqOga,n.svryqOgaPnapry') regexs[94].search(r'.svryqOgaPnapry') regexs[94].search(r'.bow-nppbeqvba qg') regexs[94].search(r'[anzr=nwnkHey]') regexs[94].search(strings[82]) regexs[31].search(r'rf') regexs[31].search(r'wn') regexs[82].search(strings[77]) regexs[82].search(r'*') regexs[82].search(strings[48]) regexs[82].search(r'.pybfr') regexs[82].search(strings[82]) regexs[82].search(strings[83]) regexs[82].search(strings[84]) regexs[82].search(strings[86]) regexs[82].search(r'qg') regexs[82].search(r'rzorq') regexs[82].search(r'sbez.nwnk') regexs[82].search(strings[90]) regexs[82].search(r'bowrpg') regexs[83].search(strings[98]) regexs[83].search(r'shapgvba sbphf() { [angvir pbqr] }') regexs[62].search(r'#Ybtva') regexs[62].search(r'#Ybtva_cnffjbeq') regexs[62].search(strings[77]) regexs[62].search(r'#fubhgobkWf') regexs[62].search(r'#fubhgobkWfReebe') regexs[62].search(r'#fubhgobkWfFhpprff') regexs[62].search(r'*') regexs[62].search(strings[82]) regexs[62].search(strings[83]) regexs[62].search(strings[86]) regexs[62].search(r'rzorq') regexs[62].search(r'sbez.nwnk') regexs[62].search(strings[90]) regexs[62].search(r'bowrpg') regexs[49].search(r'pbagrag') regexs[24].search(strings[6]) re.search(r'xbadhrebe', strings[63]) re.search(r'znp', 'jva32') re.search(r'zbmvyyn', strings[63]) re.search(r'zfvr', strings[63]) re.search(r'ag\s5\.1', strings[63]) re.search(r'bcren', strings[63]) re.search(r'fnsnev', strings[63]) re.search(r'jva', 'jva32') re.search(r'jvaqbjf', strings[63]) def bench_regex_v8(loops): t0 = pyperf.perf_counter() for loops in range(loops): block0() block1() block2() block3() block4() block5() block6() block7() block8() block9() block10() block11() return pyperf.perf_counter() - t0 if __name__ == '__main__': runner = pyperf.Runner() runner.metadata['description'] = ("Test the performance of regexps " "using V8's benchmarks") runner.bench_time_func('regex_v8', bench_regex_v8) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_richards/000077500000000000000000000000001514162565100257325ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_richards/pyproject.toml000066400000000000000000000003371514162565100306510ustar00rootroot00000000000000[project] name = "pyperformance_bm_richards" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "richards" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_richards/run_benchmark.py000066400000000000000000000225031514162565100311240ustar00rootroot00000000000000""" based on a Java version: Based on original version written in BCPL by Dr Martin Richards in 1981 at Cambridge University Computer Laboratory, England and a C++ version derived from a Smalltalk version written by L Peter Deutsch. Java version: Copyright (C) 1995 Sun Microsystems, Inc. Translation from C++, Mario Wolczko Outer loop added by Alex Jacoby """ import pyperf # Task IDs I_IDLE = 1 I_WORK = 2 I_HANDLERA = 3 I_HANDLERB = 4 I_DEVA = 5 I_DEVB = 6 # Packet types K_DEV = 1000 K_WORK = 1001 # Packet BUFSIZE = 4 BUFSIZE_RANGE = range(BUFSIZE) class Packet(object): def __init__(self, l, i, k): self.link = l self.ident = i self.kind = k self.datum = 0 self.data = [0] * BUFSIZE def append_to(self, lst): self.link = None if lst is None: return self else: p = lst next = p.link while next is not None: p = next next = p.link p.link = self return lst # Task Records class TaskRec(object): pass class DeviceTaskRec(TaskRec): def __init__(self): self.pending = None class IdleTaskRec(TaskRec): def __init__(self): self.control = 1 self.count = 10000 class HandlerTaskRec(TaskRec): def __init__(self): self.work_in = None self.device_in = None def workInAdd(self, p): self.work_in = p.append_to(self.work_in) return self.work_in def deviceInAdd(self, p): self.device_in = p.append_to(self.device_in) return self.device_in class WorkerTaskRec(TaskRec): def __init__(self): self.destination = I_HANDLERA self.count = 0 # Task class TaskState(object): def __init__(self): self.packet_pending = True self.task_waiting = False self.task_holding = False def packetPending(self): self.packet_pending = True self.task_waiting = False self.task_holding = False return self def waiting(self): self.packet_pending = False self.task_waiting = True self.task_holding = False return self def running(self): self.packet_pending = False self.task_waiting = False self.task_holding = False return self def waitingWithPacket(self): self.packet_pending = True self.task_waiting = True self.task_holding = False return self def isPacketPending(self): return self.packet_pending def isTaskWaiting(self): return self.task_waiting def isTaskHolding(self): return self.task_holding def isTaskHoldingOrWaiting(self): return self.task_holding or (not self.packet_pending and self.task_waiting) def isWaitingWithPacket(self): return self.packet_pending and self.task_waiting and not self.task_holding tracing = False layout = 0 def trace(a): global layout layout -= 1 if layout <= 0: print() layout = 50 print(a, end='') TASKTABSIZE = 10 class TaskWorkArea(object): def __init__(self): self.taskTab = [None] * TASKTABSIZE self.taskList = None self.holdCount = 0 self.qpktCount = 0 taskWorkArea = TaskWorkArea() class Task(TaskState): def __init__(self, i, p, w, initialState, r): self.link = taskWorkArea.taskList self.ident = i self.priority = p self.input = w self.packet_pending = initialState.isPacketPending() self.task_waiting = initialState.isTaskWaiting() self.task_holding = initialState.isTaskHolding() self.handle = r taskWorkArea.taskList = self taskWorkArea.taskTab[i] = self def fn(self, pkt, r): raise NotImplementedError def addPacket(self, p, old): if self.input is None: self.input = p self.packet_pending = True if self.priority > old.priority: return self else: p.append_to(self.input) return old def runTask(self): if self.isWaitingWithPacket(): msg = self.input self.input = msg.link if self.input is None: self.running() else: self.packetPending() else: msg = None return self.fn(msg, self.handle) def waitTask(self): self.task_waiting = True return self def hold(self): taskWorkArea.holdCount += 1 self.task_holding = True return self.link def release(self, i): t = self.findtcb(i) t.task_holding = False if t.priority > self.priority: return t else: return self def qpkt(self, pkt): t = self.findtcb(pkt.ident) taskWorkArea.qpktCount += 1 pkt.link = None pkt.ident = self.ident return t.addPacket(pkt, self) def findtcb(self, id): t = taskWorkArea.taskTab[id] if t is None: raise Exception("Bad task id %d" % id) return t # DeviceTask class DeviceTask(Task): def __init__(self, i, p, w, s, r): Task.__init__(self, i, p, w, s, r) def fn(self, pkt, r): d = r assert isinstance(d, DeviceTaskRec) if pkt is None: pkt = d.pending if pkt is None: return self.waitTask() else: d.pending = None return self.qpkt(pkt) else: d.pending = pkt if tracing: trace(pkt.datum) return self.hold() class HandlerTask(Task): def __init__(self, i, p, w, s, r): Task.__init__(self, i, p, w, s, r) def fn(self, pkt, r): h = r assert isinstance(h, HandlerTaskRec) if pkt is not None: if pkt.kind == K_WORK: h.workInAdd(pkt) else: h.deviceInAdd(pkt) work = h.work_in if work is None: return self.waitTask() count = work.datum if count >= BUFSIZE: h.work_in = work.link return self.qpkt(work) dev = h.device_in if dev is None: return self.waitTask() h.device_in = dev.link dev.datum = work.data[count] work.datum = count + 1 return self.qpkt(dev) # IdleTask class IdleTask(Task): def __init__(self, i, p, w, s, r): Task.__init__(self, i, 0, None, s, r) def fn(self, pkt, r): i = r assert isinstance(i, IdleTaskRec) i.count -= 1 if i.count == 0: return self.hold() elif i.control & 1 == 0: i.control //= 2 return self.release(I_DEVA) else: i.control = i.control // 2 ^ 0xd008 return self.release(I_DEVB) # WorkTask A = ord('A') class WorkTask(Task): def __init__(self, i, p, w, s, r): Task.__init__(self, i, p, w, s, r) def fn(self, pkt, r): w = r assert isinstance(w, WorkerTaskRec) if pkt is None: return self.waitTask() if w.destination == I_HANDLERA: dest = I_HANDLERB else: dest = I_HANDLERA w.destination = dest pkt.ident = dest pkt.datum = 0 for i in BUFSIZE_RANGE: # range(BUFSIZE) w.count += 1 if w.count > 26: w.count = 1 pkt.data[i] = A + w.count - 1 return self.qpkt(pkt) def schedule(): t = taskWorkArea.taskList while t is not None: if tracing: print("tcb =", t.ident) if t.isTaskHoldingOrWaiting(): t = t.link else: if tracing: trace(chr(ord("0") + t.ident)) t = t.runTask() class Richards(object): def run(self, iterations): for i in range(iterations): taskWorkArea.holdCount = 0 taskWorkArea.qpktCount = 0 IdleTask(I_IDLE, 1, 10000, TaskState().running(), IdleTaskRec()) wkq = Packet(None, 0, K_WORK) wkq = Packet(wkq, 0, K_WORK) WorkTask(I_WORK, 1000, wkq, TaskState( ).waitingWithPacket(), WorkerTaskRec()) wkq = Packet(None, I_DEVA, K_DEV) wkq = Packet(wkq, I_DEVA, K_DEV) wkq = Packet(wkq, I_DEVA, K_DEV) HandlerTask(I_HANDLERA, 2000, wkq, TaskState( ).waitingWithPacket(), HandlerTaskRec()) wkq = Packet(None, I_DEVB, K_DEV) wkq = Packet(wkq, I_DEVB, K_DEV) wkq = Packet(wkq, I_DEVB, K_DEV) HandlerTask(I_HANDLERB, 3000, wkq, TaskState( ).waitingWithPacket(), HandlerTaskRec()) wkq = None DeviceTask(I_DEVA, 4000, wkq, TaskState().waiting(), DeviceTaskRec()) DeviceTask(I_DEVB, 5000, wkq, TaskState().waiting(), DeviceTaskRec()) schedule() if taskWorkArea.holdCount == 9297 and taskWorkArea.qpktCount == 23246: pass else: return False return True if __name__ == "__main__": runner = pyperf.Runner() runner.metadata['description'] = "The Richards benchmark" richard = Richards() runner.bench_func('richards', richard.run, 1) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_richards_super/000077500000000000000000000000001514162565100271505ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_richards_super/pyproject.toml000066400000000000000000000003531514162565100320650ustar00rootroot00000000000000[project] name = "pyperformance_bm_richards_super" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "richards_super" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_richards_super/run_benchmark.py000066400000000000000000000227201514162565100323430ustar00rootroot00000000000000""" based on a Java version: Based on original version written in BCPL by Dr Martin Richards in 1981 at Cambridge University Computer Laboratory, England and a C++ version derived from a Smalltalk version written by L Peter Deutsch. Java version: Copyright (C) 1995 Sun Microsystems, Inc. Translation from C++, Mario Wolczko Outer loop added by Alex Jacoby super() usage added by Carl Meyer """ import pyperf # Task IDs I_IDLE = 1 I_WORK = 2 I_HANDLERA = 3 I_HANDLERB = 4 I_DEVA = 5 I_DEVB = 6 # Packet types K_DEV = 1000 K_WORK = 1001 # Packet BUFSIZE = 4 BUFSIZE_RANGE = range(BUFSIZE) class Packet: def __init__(self, l, i, k): self.link = l self.ident = i self.kind = k self.datum = 0 self.data = [0] * BUFSIZE def append_to(self, lst): self.link = None if lst is None: return self else: p = lst next = p.link while next is not None: p = next next = p.link p.link = self return lst # Task Records class TaskRec: pass class DeviceTaskRec(TaskRec): def __init__(self): self.pending = None class IdleTaskRec(TaskRec): def __init__(self): self.control = 1 self.count = 10000 class HandlerTaskRec(TaskRec): def __init__(self): self.work_in = None self.device_in = None def workInAdd(self, p): self.work_in = p.append_to(self.work_in) return self.work_in def deviceInAdd(self, p): self.device_in = p.append_to(self.device_in) return self.device_in class WorkerTaskRec(TaskRec): def __init__(self): self.destination = I_HANDLERA self.count = 0 # Task class TaskState: def __init__(self): self.packet_pending = True self.task_waiting = False self.task_holding = False def packetPending(self): self.packet_pending = True self.task_waiting = False self.task_holding = False return self def waiting(self): self.packet_pending = False self.task_waiting = True self.task_holding = False return self def running(self): self.packet_pending = False self.task_waiting = False self.task_holding = False return self def waitingWithPacket(self): self.packet_pending = True self.task_waiting = True self.task_holding = False return self def isPacketPending(self): return self.packet_pending def isTaskWaiting(self): return self.task_waiting def isTaskHolding(self): return self.task_holding def isTaskHoldingOrWaiting(self): return self.task_holding or (not self.packet_pending and self.task_waiting) def isWaitingWithPacket(self): return self.packet_pending and self.task_waiting and not self.task_holding tracing = False layout = 0 def trace(a): global layout layout -= 1 if layout <= 0: print() layout = 50 print(a, end='') TASKTABSIZE = 10 class TaskWorkArea: def __init__(self): self.taskTab = [None] * TASKTABSIZE self.taskList = None self.holdCount = 0 self.qpktCount = 0 taskWorkArea = TaskWorkArea() class Task(TaskState): def __init__(self, i, p, w, initialState, r): self.link = taskWorkArea.taskList self.ident = i self.priority = p self.input = w self.packet_pending = initialState.isPacketPending() self.task_waiting = initialState.isTaskWaiting() self.task_holding = initialState.isTaskHolding() self.handle = r taskWorkArea.taskList = self taskWorkArea.taskTab[i] = self self.last_packet = None def fn(self, pkt, r): self.last_packet = pkt def addPacket(self, p, old): if self.input is None: self.input = p self.packet_pending = True if self.priority > old.priority: return self else: p.append_to(self.input) return old def runTask(self): if self.isWaitingWithPacket(): msg = self.input self.input = msg.link if self.input is None: self.running() else: self.packetPending() else: msg = None return self.fn(msg, self.handle) def waitTask(self): self.task_waiting = True return self def hold(self): taskWorkArea.holdCount += 1 self.task_holding = True return self.link def release(self, i): t = self.findtcb(i) t.task_holding = False if t.priority > self.priority: return t else: return self def qpkt(self, pkt): t = self.findtcb(pkt.ident) taskWorkArea.qpktCount += 1 pkt.link = None pkt.ident = self.ident return t.addPacket(pkt, self) def findtcb(self, id): t = taskWorkArea.taskTab[id] if t is None: raise Exception("Bad task id %d" % id) return t # DeviceTask class DeviceTask(Task): def __init__(self, i, p, w, s, r): super().__init__(i, p, w, s, r) def fn(self, pkt, r): d = r assert isinstance(d, DeviceTaskRec) super().fn(pkt, r) if pkt is None: pkt = d.pending if pkt is None: return self.waitTask() else: d.pending = None return self.qpkt(pkt) else: d.pending = pkt if tracing: trace(pkt.datum) return self.hold() class HandlerTask(Task): def __init__(self, i, p, w, s, r): super().__init__(i, p, w, s, r) def fn(self, pkt, r): h = r assert isinstance(h, HandlerTaskRec) super().fn(pkt, r) if pkt is not None: if pkt.kind == K_WORK: h.workInAdd(pkt) else: h.deviceInAdd(pkt) work = h.work_in if work is None: return self.waitTask() count = work.datum if count >= BUFSIZE: h.work_in = work.link return self.qpkt(work) dev = h.device_in if dev is None: return self.waitTask() h.device_in = dev.link dev.datum = work.data[count] work.datum = count + 1 return self.qpkt(dev) # IdleTask class IdleTask(Task): def __init__(self, i, p, w, s, r): super().__init__(i, 0, None, s, r) def fn(self, pkt, r): i = r assert isinstance(i, IdleTaskRec) super().fn(pkt, r) i.count -= 1 if i.count == 0: return self.hold() elif i.control & 1 == 0: i.control //= 2 return self.release(I_DEVA) else: i.control = i.control // 2 ^ 0xd008 return self.release(I_DEVB) # WorkTask A = ord('A') class WorkTask(Task): def __init__(self, i, p, w, s, r): super().__init__(i, p, w, s, r) def fn(self, pkt, r): w = r assert isinstance(w, WorkerTaskRec) super().fn(pkt, r) if pkt is None: return self.waitTask() if w.destination == I_HANDLERA: dest = I_HANDLERB else: dest = I_HANDLERA w.destination = dest pkt.ident = dest pkt.datum = 0 for i in BUFSIZE_RANGE: # range(BUFSIZE) w.count += 1 if w.count > 26: w.count = 1 pkt.data[i] = A + w.count - 1 return self.qpkt(pkt) def schedule(): t = taskWorkArea.taskList while t is not None: if tracing: print("tcb =", t.ident) if t.isTaskHoldingOrWaiting(): t = t.link else: if tracing: trace(chr(ord("0") + t.ident)) t = t.runTask() class Richards: def run(self, iterations): for i in range(iterations): taskWorkArea.holdCount = 0 taskWorkArea.qpktCount = 0 IdleTask(I_IDLE, 1, 10000, TaskState().running(), IdleTaskRec()) wkq = Packet(None, 0, K_WORK) wkq = Packet(wkq, 0, K_WORK) WorkTask(I_WORK, 1000, wkq, TaskState( ).waitingWithPacket(), WorkerTaskRec()) wkq = Packet(None, I_DEVA, K_DEV) wkq = Packet(wkq, I_DEVA, K_DEV) wkq = Packet(wkq, I_DEVA, K_DEV) HandlerTask(I_HANDLERA, 2000, wkq, TaskState( ).waitingWithPacket(), HandlerTaskRec()) wkq = Packet(None, I_DEVB, K_DEV) wkq = Packet(wkq, I_DEVB, K_DEV) wkq = Packet(wkq, I_DEVB, K_DEV) HandlerTask(I_HANDLERB, 3000, wkq, TaskState( ).waitingWithPacket(), HandlerTaskRec()) wkq = None DeviceTask(I_DEVA, 4000, wkq, TaskState().waiting(), DeviceTaskRec()) DeviceTask(I_DEVB, 5000, wkq, TaskState().waiting(), DeviceTaskRec()) schedule() if taskWorkArea.holdCount == 9297 and taskWorkArea.qpktCount == 23246: pass else: return False return True if __name__ == "__main__": runner = pyperf.Runner() runner.metadata['description'] = "The Richards benchmark, with super()" richard = Richards() runner.bench_func('richards_super', richard.run, 1) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_scimark/000077500000000000000000000000001514162565100255645ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_scimark/pyproject.toml000066400000000000000000000003351514162565100305010ustar00rootroot00000000000000[project] name = "pyperformance_bm_scimark" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "scimark" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_scimark/run_benchmark.py000066400000000000000000000236751514162565100307710ustar00rootroot00000000000000from array import array import math import pyperf class Array2D(object): def __init__(self, w, h, data=None): self.width = w self.height = h self.data = array('d', [0]) * (w * h) if data is not None: self.setup(data) def _idx(self, x, y): if 0 <= x < self.width and 0 <= y < self.height: return y * self.width + x raise IndexError def __getitem__(self, x_y): (x, y) = x_y return self.data[self._idx(x, y)] def __setitem__(self, x_y, val): (x, y) = x_y self.data[self._idx(x, y)] = val def setup(self, data): for y in range(self.height): for x in range(self.width): self[x, y] = data[y][x] return self def indexes(self): for y in range(self.height): for x in range(self.width): yield x, y def copy_data_from(self, other): self.data[:] = other.data[:] class Random(object): MDIG = 32 ONE = 1 m1 = (ONE << (MDIG - 2)) + ((ONE << (MDIG - 2)) - ONE) m2 = ONE << MDIG // 2 dm1 = 1.0 / float(m1) def __init__(self, seed): self.initialize(seed) self.left = 0.0 self.right = 1.0 self.width = 1.0 self.haveRange = False def initialize(self, seed): self.seed = seed seed = abs(seed) jseed = min(seed, self.m1) if (jseed % 2 == 0): jseed -= 1 k0 = 9069 % self.m2 k1 = 9069 / self.m2 j0 = jseed % self.m2 j1 = jseed / self.m2 self.m = array('d', [0]) * 17 for iloop in range(17): jseed = j0 * k0 j1 = (jseed / self.m2 + j0 * k1 + j1 * k0) % (self.m2 / 2) j0 = jseed % self.m2 self.m[iloop] = j0 + self.m2 * j1 self.i = 4 self.j = 16 def nextDouble(self): I, J, m = self.i, self.j, self.m k = m[I] - m[J] if (k < 0): k += self.m1 self.m[J] = k if (I == 0): I = 16 else: I -= 1 self.i = I if (J == 0): J = 16 else: J -= 1 self.j = J if (self.haveRange): return self.left + self.dm1 * float(k) * self.width else: return self.dm1 * float(k) def RandomMatrix(self, a): for x, y in a.indexes(): a[x, y] = self.nextDouble() return a def RandomVector(self, n): return array('d', [self.nextDouble() for i in range(n)]) def copy_vector(vec): # Copy a vector created by Random.RandomVector() vec2 = array('d') vec2[:] = vec[:] return vec2 class ArrayList(Array2D): def __init__(self, w, h, data=None): self.width = w self.height = h self.data = [array('d', [0]) * w for y in range(h)] if data is not None: self.setup(data) def __getitem__(self, idx): if isinstance(idx, tuple): return self.data[idx[1]][idx[0]] else: return self.data[idx] def __setitem__(self, idx, val): if isinstance(idx, tuple): self.data[idx[1]][idx[0]] = val else: self.data[idx] = val def copy_data_from(self, other): for l1, l2 in zip(self.data, other.data): l1[:] = l2 def SOR_execute(omega, G, cycles, Array): for p in range(cycles): for y in range(1, G.height - 1): for x in range(1, G.width - 1): G[x, y] = (omega * 0.25 * (G[x, y - 1] + G[x, y + 1] + G[x - 1, y] + G[x + 1, y]) + (1.0 - omega) * G[x, y]) def bench_SOR(loops, n, cycles, Array): range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: G = Array(n, n) SOR_execute(1.25, G, cycles, Array) return pyperf.perf_counter() - t0 def SparseCompRow_matmult(M, y, val, row, col, x, num_iterations): range_it = range(num_iterations) t0 = pyperf.perf_counter() for _ in range_it: for r in range(M): sa = 0.0 for i in range(row[r], row[r + 1]): sa += x[col[i]] * val[i] y[r] = sa return pyperf.perf_counter() - t0 def bench_SparseMatMult(cycles, N, nz): x = array('d', [0]) * N y = array('d', [0]) * N nr = nz // N anz = nr * N val = array('d', [0]) * anz col = array('i', [0]) * nz row = array('i', [0]) * (N + 1) row[0] = 0 for r in range(N): rowr = row[r] step = r // nr row[r + 1] = rowr + nr if step < 1: step = 1 for i in range(nr): col[rowr + i] = i * step return SparseCompRow_matmult(N, y, val, row, col, x, cycles) def MonteCarlo(Num_samples): rnd = Random(113) under_curve = 0 for count in range(Num_samples): x = rnd.nextDouble() y = rnd.nextDouble() if x * x + y * y <= 1.0: under_curve += 1 return float(under_curve) / Num_samples * 4.0 def bench_MonteCarlo(loops, Num_samples): range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: MonteCarlo(Num_samples) return pyperf.perf_counter() - t0 def LU_factor(A, pivot): M, N = A.height, A.width minMN = min(M, N) for j in range(minMN): jp = j t = abs(A[j][j]) for i in range(j + 1, M): ab = abs(A[i][j]) if ab > t: jp = i t = ab pivot[j] = jp if A[jp][j] == 0: raise Exception("factorization failed because of zero pivot") if jp != j: A[j], A[jp] = A[jp], A[j] if j < M - 1: recp = 1.0 / A[j][j] for k in range(j + 1, M): A[k][j] *= recp if j < minMN - 1: for ii in range(j + 1, M): for jj in range(j + 1, N): A[ii][jj] -= A[ii][j] * A[j][jj] def LU(lu, A, pivot): lu.copy_data_from(A) LU_factor(lu, pivot) def bench_LU(cycles, N): rnd = Random(7) A = rnd.RandomMatrix(ArrayList(N, N)) lu = ArrayList(N, N) pivot = array('i', [0]) * N range_it = range(cycles) t0 = pyperf.perf_counter() for _ in range_it: LU(lu, A, pivot) return pyperf.perf_counter() - t0 def int_log2(n): k = 1 log = 0 while k < n: k *= 2 log += 1 if n != 1 << log: raise Exception("FFT: Data length is not a power of 2: %s" % n) return log def FFT_num_flops(N): return (5.0 * N - 2) * int_log2(N) + 2 * (N + 1) def FFT_transform_internal(N, data, direction): n = N // 2 bit = 0 dual = 1 if n == 1: return logn = int_log2(n) if N == 0: return FFT_bitreverse(N, data) # apply fft recursion # this loop executed int_log2(N) times bit = 0 while bit < logn: w_real = 1.0 w_imag = 0.0 theta = 2.0 * direction * math.pi / (2.0 * float(dual)) s = math.sin(theta) t = math.sin(theta / 2.0) s2 = 2.0 * t * t for b in range(0, n, 2 * dual): i = 2 * b j = 2 * (b + dual) wd_real = data[j] wd_imag = data[j + 1] data[j] = data[i] - wd_real data[j + 1] = data[i + 1] - wd_imag data[i] += wd_real data[i + 1] += wd_imag for a in range(1, dual): tmp_real = w_real - s * w_imag - s2 * w_real tmp_imag = w_imag + s * w_real - s2 * w_imag w_real = tmp_real w_imag = tmp_imag for b in range(0, n, 2 * dual): i = 2 * (b + a) j = 2 * (b + a + dual) z1_real = data[j] z1_imag = data[j + 1] wd_real = w_real * z1_real - w_imag * z1_imag wd_imag = w_real * z1_imag + w_imag * z1_real data[j] = data[i] - wd_real data[j + 1] = data[i + 1] - wd_imag data[i] += wd_real data[i + 1] += wd_imag bit += 1 dual *= 2 def FFT_bitreverse(N, data): n = N // 2 nm1 = n - 1 j = 0 for i in range(nm1): ii = i << 1 jj = j << 1 k = n >> 1 if i < j: tmp_real = data[ii] tmp_imag = data[ii + 1] data[ii] = data[jj] data[ii + 1] = data[jj + 1] data[jj] = tmp_real data[jj + 1] = tmp_imag while k <= j: j -= k k >>= 1 j += k def FFT_transform(N, data): FFT_transform_internal(N, data, -1) def FFT_inverse(N, data): n = N / 2 norm = 0.0 FFT_transform_internal(N, data, +1) norm = 1 / float(n) for i in range(N): data[i] *= norm def bench_FFT(loops, N, cycles): twoN = 2 * N init_vec = Random(7).RandomVector(twoN) range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: x = copy_vector(init_vec) for i in range(cycles): FFT_transform(twoN, x) FFT_inverse(twoN, x) return pyperf.perf_counter() - t0 def add_cmdline_args(cmd, args): if args.benchmark: cmd.append(args.benchmark) BENCHMARKS = { # function name => arguments 'sor': (bench_SOR, 100, 10, Array2D), 'sparse_mat_mult': (bench_SparseMatMult, 1000, 50 * 1000), 'monte_carlo': (bench_MonteCarlo, 100 * 1000,), 'lu': (bench_LU, 100,), 'fft': (bench_FFT, 1024, 50), } if __name__ == "__main__": runner = pyperf.Runner(add_cmdline_args=add_cmdline_args) runner.argparser.add_argument("benchmark", nargs='?', choices=sorted(BENCHMARKS)) args = runner.parse_args() if args.benchmark: benchmarks = (args.benchmark,) else: benchmarks = sorted(BENCHMARKS) for bench in benchmarks: name = 'scimark_%s' % bench args = BENCHMARKS[bench] runner.bench_time_func(name, *args) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_spectral_norm/000077500000000000000000000000001514162565100270035ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_spectral_norm/pyproject.toml000066400000000000000000000003511514162565100317160ustar00rootroot00000000000000[project] name = "pyperformance_bm_spectral_norm" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "spectral_norm" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_spectral_norm/run_benchmark.py000066400000000000000000000032521514162565100321750ustar00rootroot00000000000000""" MathWorld: "Hundred-Dollar, Hundred-Digit Challenge Problems", Challenge #3. http://mathworld.wolfram.com/Hundred-DollarHundred-DigitChallengeProblems.html The Computer Language Benchmarks Game http://benchmarksgame.alioth.debian.org/u64q/spectralnorm-description.html#spectralnorm Contributed by Sebastien Loisel Fixed by Isaac Gouy Sped up by Josh Goldfoot Dirtily sped up by Simon Descarpentries Concurrency by Jason Stitt """ import pyperf DEFAULT_N = 130 def eval_A(i, j): return 1.0 / ((i + j) * (i + j + 1) // 2 + i + 1) def eval_times_u(func, u): return [func((i, u)) for i in range(len(list(u)))] def eval_AtA_times_u(u): return eval_times_u(part_At_times_u, eval_times_u(part_A_times_u, u)) def part_A_times_u(i_u): i, u = i_u partial_sum = 0 for j, u_j in enumerate(u): partial_sum += eval_A(i, j) * u_j return partial_sum def part_At_times_u(i_u): i, u = i_u partial_sum = 0 for j, u_j in enumerate(u): partial_sum += eval_A(j, i) * u_j return partial_sum def bench_spectral_norm(loops): range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: u = [1] * DEFAULT_N for dummy in range(10): v = eval_AtA_times_u(u) u = eval_AtA_times_u(v) vBv = vv = 0 for ue, ve in zip(u, v): vBv += ue * ve vv += ve * ve return pyperf.perf_counter() - t0 if __name__ == "__main__": runner = pyperf.Runner() runner.metadata['description'] = ( 'MathWorld: "Hundred-Dollar, Hundred-Digit Challenge Problems", ' 'Challenge #3.') runner.bench_time_func('spectral_norm', bench_spectral_norm) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/000077500000000000000000000000001514162565100254445ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/data/000077500000000000000000000000001514162565100263555ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/data/Doc/000077500000000000000000000000001514162565100270625ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/data/Doc/about.rst000066400000000000000000000027171514162565100307350ustar00rootroot00000000000000===================== About these documents ===================== These documents are generated from `reStructuredText`_ sources by `Sphinx`_, a document processor specifically written for the Python documentation. .. _reStructuredText: https://docutils.sourceforge.io/rst.html .. _Sphinx: https://www.sphinx-doc.org/ .. In the online version of these documents, you can submit comments and suggest changes directly on the documentation pages. Development of the documentation and its toolchain is an entirely volunteer effort, just like Python itself. If you want to contribute, please take a look at the :ref:`reporting-bugs` page for information on how to do so. New volunteers are always welcome! Many thanks go to: * Fred L. Drake, Jr., the creator of the original Python documentation toolset and writer of much of the content; * the `Docutils `_ project for creating reStructuredText and the Docutils suite; * Fredrik Lundh for his Alternative Python Reference project from which Sphinx got many good ideas. Contributors to the Python Documentation ---------------------------------------- Many people have contributed to the Python language, the Python standard library, and the Python documentation. See :source:`Misc/ACKS` in the Python source distribution for a partial list of contributors. It is only with the input and contributions of the Python community that Python has such wonderful documentation -- Thank You! pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/data/Doc/bugs.rst000066400000000000000000000116261514162565100305620ustar00rootroot00000000000000.. _reporting-bugs: ***************** Dealing with Bugs ***************** Python is a mature programming language which has established a reputation for stability. In order to maintain this reputation, the developers would like to know of any deficiencies you find in Python. It can be sometimes faster to fix bugs yourself and contribute patches to Python as it streamlines the process and involves less people. Learn how to :ref:`contribute `. Documentation bugs ================== If you find a bug in this documentation or would like to propose an improvement, please submit a bug report on the :ref:`tracker `. If you have a suggestion on how to fix it, include that as well. You can also open a discussion item on our `Documentation Discourse forum `_. If you find a bug in the theme (HTML / CSS / JavaScript) of the documentation, please submit a bug report on the `python-doc-theme bug tracker `_. If you're short on time, you can also email documentation bug reports to docs@python.org (behavioral bugs can be sent to python-list@python.org). 'docs@' is a mailing list run by volunteers; your request will be noticed, though it may take a while to be processed. .. seealso:: `Documentation bugs`_ A list of documentation bugs that have been submitted to the Python issue tracker. `Issue Tracking `_ Overview of the process involved in reporting an improvement on the tracker. `Helping with Documentation `_ Comprehensive guide for individuals that are interested in contributing to Python documentation. `Documentation Translations `_ A list of GitHub pages for documentation translation and their primary contacts. .. _using-the-tracker: Using the Python issue tracker ============================== Issue reports for Python itself should be submitted via the GitHub issues tracker (https://github.com/python/cpython/issues). The GitHub issues tracker offers a web form which allows pertinent information to be entered and submitted to the developers. The first step in filing a report is to determine whether the problem has already been reported. The advantage in doing so, aside from saving the developers' time, is that you learn what has been done to fix it; it may be that the problem has already been fixed for the next release, or additional information is needed (in which case you are welcome to provide it if you can!). To do this, search the tracker using the search box at the top of the page. If the problem you're reporting is not already in the list, log in to GitHub. If you don't already have a GitHub account, create a new account using the "Sign up" link. It is not possible to submit a bug report anonymously. Being now logged in, you can submit an issue. Click on the "New issue" button in the top bar to report a new issue. The submission form has two fields, "Title" and "Comment". For the "Title" field, enter a *very* short description of the problem; fewer than ten words is good. In the "Comment" field, describe the problem in detail, including what you expected to happen and what did happen. Be sure to include whether any extension modules were involved, and what hardware and software platform you were using (including version information as appropriate). Each issue report will be reviewed by a developer who will determine what needs to be done to correct the problem. You will receive an update each time an action is taken on the issue. .. seealso:: `How to Report Bugs Effectively `_ Article which goes into some detail about how to create a useful bug report. This describes what kind of information is useful and why it is useful. `Bug Writing Guidelines `_ Information about writing a good bug report. Some of this is specific to the Mozilla project, but describes general good practices. .. _contributing-to-python: Getting started contributing to Python yourself =============================================== Beyond just reporting bugs that you find, you are also welcome to submit patches to fix them. You can find more information on how to get started patching Python in the `Python Developer's Guide`_. If you have questions, the `core-mentorship mailing list`_ is a friendly place to get answers to any and all questions pertaining to the process of fixing issues in Python. .. _Documentation bugs: https://github.com/python/cpython/issues?q=is%3Aissue+is%3Aopen+label%3Adocs .. _Python Developer's Guide: https://devguide.python.org/ .. _core-mentorship mailing list: https://mail.python.org/mailman3/lists/core-mentorship.python.org/ pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/data/Doc/conf.py000066400000000000000000000031051514162565100303600ustar00rootroot00000000000000import os import sys sys.path.append(os.path.abspath('tools/extensions')) extensions = [ 'pyspecific', 'sphinx.ext.extlinks', ] manpages_url = 'https://manpages.debian.org/{path}' # General substitutions. project = 'Python' copyright = f"2001, Python Software Foundation" version = release = sys.version.split(" ", 1)[0] rst_epilog = f""" .. |python_version_literal| replace:: ``Python {version}`` .. |python_x_dot_y_literal| replace:: ``python{version}`` .. |usr_local_bin_python_x_dot_y_literal| replace:: ``/usr/local/bin/python{version}`` """ # There are two options for replacing |today|: either, you set today to some # non-false value, then it is used: today = '' # Else, today_fmt is used as the format for a strftime call. today_fmt = '%B %d, %Y' # By default, highlight as Python 3. highlight_language = 'python3' # Minimum version of sphinx required needs_sphinx = '6.2.1' # Create table of contents entries for domain objects (e.g. functions, classes, # attributes, etc.). Default is True. toc_object_entries = False # Disable Docutils smartquotes for several translations smartquotes_excludes = { 'languages': ['ja', 'fr', 'zh_TW', 'zh_CN'], 'builders': ['man', 'text'], } # Avoid a warning with Sphinx >= 4.0 root_doc = 'contents' extlinks = { "cve": ("https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-%s", "CVE-%s"), "cwe": ("https://cwe.mitre.org/data/definitions/%s.html", "CWE-%s"), "pypi": ("https://pypi.org/project/%s/", "%s"), "source": ('https://github.com/python/cpython/tree/3.13/%s', "%s"), } extlinks_detect_hardcoded_links = True pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/data/Doc/constraints.txt000066400000000000000000000014031514162565100321700ustar00rootroot00000000000000# We have upper bounds on our transitive dependencies here # To avoid new releases unexpectedly breaking our build. # This file can be updated on an ad-hoc basis, # though it will probably have to be updated # whenever Doc/requirements.txt is updated. # Direct dependencies of Sphinx babel<3 colorama<0.5 imagesize<2 Jinja2<4 packaging<25 Pygments<3 requests<3 snowballstemmer<3 # keep lower-bounds until Sphinx 8.1 is released # https://github.com/sphinx-doc/sphinx/pull/12756 sphinxcontrib-applehelp>=1.0.7,<3 sphinxcontrib-devhelp>=1.0.6,<3 sphinxcontrib-htmlhelp>=2.0.6,<3 sphinxcontrib-jsmath>=1.0.1,<2 sphinxcontrib-qthelp>=1.0.6,<3 sphinxcontrib-serializinghtml>=1.1.9,<3 # Direct dependencies of Jinja2 (Jinja is a dependency of Sphinx, see above) MarkupSafe<3 pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/data/Doc/contents.rst000066400000000000000000000006451514162565100314560ustar00rootroot00000000000000%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Python Documentation contents %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% .. toctree:: whatsnew/index.rst tutorial/index.rst using/index.rst reference/index.rst library/index.rst extending/index.rst c-api/index.rst installing/index.rst howto/index.rst faq/index.rst deprecations/index.rst glossary.rst about.rst bugs.rst copyright.rst license.rst pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/data/Doc/copyright.rst000066400000000000000000000007031514162565100316240ustar00rootroot00000000000000********* Copyright ********* Python and this documentation is: Copyright © 2001-2024 Python Software Foundation. All rights reserved. Copyright © 2000 BeOpen.com. All rights reserved. Copyright © 1995-2000 Corporation for National Research Initiatives. All rights reserved. Copyright © 1991-1995 Stichting Mathematisch Centrum. All rights reserved. ------- See :ref:`history-and-license` for complete license and permissions information. pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/data/Doc/glossary.rst000066400000000000000000001671251514162565100314730ustar00rootroot00000000000000.. _glossary: ******** Glossary ******** .. if you add new entries, keep the alphabetical sorting! .. glossary:: ``>>>`` The default Python prompt of the :term:`interactive` shell. Often seen for code examples which can be executed interactively in the interpreter. ``...`` Can refer to: * The default Python prompt of the :term:`interactive` shell when entering the code for an indented code block, when within a pair of matching left and right delimiters (parentheses, square brackets, curly braces or triple quotes), or after specifying a decorator. * The :const:`Ellipsis` built-in constant. abstract base class Abstract base classes complement :term:`duck-typing` by providing a way to define interfaces when other techniques like :func:`hasattr` would be clumsy or subtly wrong (for example with :ref:`magic methods `). ABCs introduce virtual subclasses, which are classes that don't inherit from a class but are still recognized by :func:`isinstance` and :func:`issubclass`; see the :mod:`abc` module documentation. Python comes with many built-in ABCs for data structures (in the :mod:`collections.abc` module), numbers (in the :mod:`numbers` module), streams (in the :mod:`io` module), import finders and loaders (in the :mod:`importlib.abc` module). You can create your own ABCs with the :mod:`abc` module. annotation A label associated with a variable, a class attribute or a function parameter or return value, used by convention as a :term:`type hint`. Annotations of local variables cannot be accessed at runtime, but annotations of global variables, class attributes, and functions are stored in the :attr:`__annotations__` special attribute of modules, classes, and functions, respectively. See :term:`variable annotation`, :term:`function annotation`, :pep:`484` and :pep:`526`, which describe this functionality. Also see :ref:`annotations-howto` for best practices on working with annotations. argument A value passed to a :term:`function` (or :term:`method`) when calling the function. There are two kinds of argument: * :dfn:`keyword argument`: an argument preceded by an identifier (e.g. ``name=``) in a function call or passed as a value in a dictionary preceded by ``**``. For example, ``3`` and ``5`` are both keyword arguments in the following calls to :func:`complex`:: complex(real=3, imag=5) complex(**{'real': 3, 'imag': 5}) * :dfn:`positional argument`: an argument that is not a keyword argument. Positional arguments can appear at the beginning of an argument list and/or be passed as elements of an :term:`iterable` preceded by ``*``. For example, ``3`` and ``5`` are both positional arguments in the following calls:: complex(3, 5) complex(*(3, 5)) Arguments are assigned to the named local variables in a function body. See the :ref:`calls` section for the rules governing this assignment. Syntactically, any expression can be used to represent an argument; the evaluated value is assigned to the local variable. See also the :term:`parameter` glossary entry, the FAQ question on :ref:`the difference between arguments and parameters `, and :pep:`362`. asynchronous context manager An object which controls the environment seen in an :keyword:`async with` statement by defining :meth:`~object.__aenter__` and :meth:`~object.__aexit__` methods. Introduced by :pep:`492`. asynchronous generator A function which returns an :term:`asynchronous generator iterator`. It looks like a coroutine function defined with :keyword:`async def` except that it contains :keyword:`yield` expressions for producing a series of values usable in an :keyword:`async for` loop. Usually refers to an asynchronous generator function, but may refer to an *asynchronous generator iterator* in some contexts. In cases where the intended meaning isn't clear, using the full terms avoids ambiguity. An asynchronous generator function may contain :keyword:`await` expressions as well as :keyword:`async for`, and :keyword:`async with` statements. asynchronous generator iterator An object created by a :term:`asynchronous generator` function. This is an :term:`asynchronous iterator` which when called using the :meth:`~object.__anext__` method returns an awaitable object which will execute the body of the asynchronous generator function until the next :keyword:`yield` expression. Each :keyword:`yield` temporarily suspends processing, remembering the location execution state (including local variables and pending try-statements). When the *asynchronous generator iterator* effectively resumes with another awaitable returned by :meth:`~object.__anext__`, it picks up where it left off. See :pep:`492` and :pep:`525`. asynchronous iterable An object, that can be used in an :keyword:`async for` statement. Must return an :term:`asynchronous iterator` from its :meth:`~object.__aiter__` method. Introduced by :pep:`492`. asynchronous iterator An object that implements the :meth:`~object.__aiter__` and :meth:`~object.__anext__` methods. :meth:`~object.__anext__` must return an :term:`awaitable` object. :keyword:`async for` resolves the awaitables returned by an asynchronous iterator's :meth:`~object.__anext__` method until it raises a :exc:`StopAsyncIteration` exception. Introduced by :pep:`492`. attribute A value associated with an object which is usually referenced by name using dotted expressions. For example, if an object *o* has an attribute *a* it would be referenced as *o.a*. It is possible to give an object an attribute whose name is not an identifier as defined by :ref:`identifiers`, for example using :func:`setattr`, if the object allows it. Such an attribute will not be accessible using a dotted expression, and would instead need to be retrieved with :func:`getattr`. awaitable An object that can be used in an :keyword:`await` expression. Can be a :term:`coroutine` or an object with an :meth:`~object.__await__` method. See also :pep:`492`. BDFL Benevolent Dictator For Life, a.k.a. `Guido van Rossum `_, Python's creator. binary file A :term:`file object` able to read and write :term:`bytes-like objects `. Examples of binary files are files opened in binary mode (``'rb'``, ``'wb'`` or ``'rb+'``), :data:`sys.stdin.buffer `, :data:`sys.stdout.buffer `, and instances of :class:`io.BytesIO` and :class:`gzip.GzipFile`. See also :term:`text file` for a file object able to read and write :class:`str` objects. borrowed reference In Python's C API, a borrowed reference is a reference to an object, where the code using the object does not own the reference. It becomes a dangling pointer if the object is destroyed. For example, a garbage collection can remove the last :term:`strong reference` to the object and so destroy it. Calling :c:func:`Py_INCREF` on the :term:`borrowed reference` is recommended to convert it to a :term:`strong reference` in-place, except when the object cannot be destroyed before the last usage of the borrowed reference. The :c:func:`Py_NewRef` function can be used to create a new :term:`strong reference`. bytes-like object An object that supports the :ref:`bufferobjects` and can export a C-:term:`contiguous` buffer. This includes all :class:`bytes`, :class:`bytearray`, and :class:`array.array` objects, as well as many common :class:`memoryview` objects. Bytes-like objects can be used for various operations that work with binary data; these include compression, saving to a binary file, and sending over a socket. Some operations need the binary data to be mutable. The documentation often refers to these as "read-write bytes-like objects". Example mutable buffer objects include :class:`bytearray` and a :class:`memoryview` of a :class:`bytearray`. Other operations require the binary data to be stored in immutable objects ("read-only bytes-like objects"); examples of these include :class:`bytes` and a :class:`memoryview` of a :class:`bytes` object. bytecode Python source code is compiled into bytecode, the internal representation of a Python program in the CPython interpreter. The bytecode is also cached in ``.pyc`` files so that executing the same file is faster the second time (recompilation from source to bytecode can be avoided). This "intermediate language" is said to run on a :term:`virtual machine` that executes the machine code corresponding to each bytecode. Do note that bytecodes are not expected to work between different Python virtual machines, nor to be stable between Python releases. A list of bytecode instructions can be found in the documentation for :ref:`the dis module `. callable A callable is an object that can be called, possibly with a set of arguments (see :term:`argument`), with the following syntax:: callable(argument1, argument2, argumentN) A :term:`function`, and by extension a :term:`method`, is a callable. An instance of a class that implements the :meth:`~object.__call__` method is also a callable. callback A subroutine function which is passed as an argument to be executed at some point in the future. class A template for creating user-defined objects. Class definitions normally contain method definitions which operate on instances of the class. class variable A variable defined in a class and intended to be modified only at class level (i.e., not in an instance of the class). complex number An extension of the familiar real number system in which all numbers are expressed as a sum of a real part and an imaginary part. Imaginary numbers are real multiples of the imaginary unit (the square root of ``-1``), often written ``i`` in mathematics or ``j`` in engineering. Python has built-in support for complex numbers, which are written with this latter notation; the imaginary part is written with a ``j`` suffix, e.g., ``3+1j``. To get access to complex equivalents of the :mod:`math` module, use :mod:`cmath`. Use of complex numbers is a fairly advanced mathematical feature. If you're not aware of a need for them, it's almost certain you can safely ignore them. context manager An object which controls the environment seen in a :keyword:`with` statement by defining :meth:`~object.__enter__` and :meth:`~object.__exit__` methods. See :pep:`343`. context variable A variable which can have different values depending on its context. This is similar to Thread-Local Storage in which each execution thread may have a different value for a variable. However, with context variables, there may be several contexts in one execution thread and the main usage for context variables is to keep track of variables in concurrent asynchronous tasks. See :mod:`contextvars`. contiguous .. index:: C-contiguous, Fortran contiguous A buffer is considered contiguous exactly if it is either *C-contiguous* or *Fortran contiguous*. Zero-dimensional buffers are C and Fortran contiguous. In one-dimensional arrays, the items must be laid out in memory next to each other, in order of increasing indexes starting from zero. In multidimensional C-contiguous arrays, the last index varies the fastest when visiting items in order of memory address. However, in Fortran contiguous arrays, the first index varies the fastest. coroutine Coroutines are a more generalized form of subroutines. Subroutines are entered at one point and exited at another point. Coroutines can be entered, exited, and resumed at many different points. They can be implemented with the :keyword:`async def` statement. See also :pep:`492`. coroutine function A function which returns a :term:`coroutine` object. A coroutine function may be defined with the :keyword:`async def` statement, and may contain :keyword:`await`, :keyword:`async for`, and :keyword:`async with` keywords. These were introduced by :pep:`492`. CPython The canonical implementation of the Python programming language, as distributed on `python.org `_. The term "CPython" is used when necessary to distinguish this implementation from others such as Jython or IronPython. decorator A function returning another function, usually applied as a function transformation using the ``@wrapper`` syntax. Common examples for decorators are :func:`classmethod` and :func:`staticmethod`. The decorator syntax is merely syntactic sugar, the following two function definitions are semantically equivalent:: def f(arg): ... f = staticmethod(f) @staticmethod def f(arg): ... The same concept exists for classes, but is less commonly used there. See the documentation for :ref:`function definitions ` and :ref:`class definitions ` for more about decorators. descriptor Any object which defines the methods :meth:`~object.__get__`, :meth:`~object.__set__`, or :meth:`~object.__delete__`. When a class attribute is a descriptor, its special binding behavior is triggered upon attribute lookup. Normally, using *a.b* to get, set or delete an attribute looks up the object named *b* in the class dictionary for *a*, but if *b* is a descriptor, the respective descriptor method gets called. Understanding descriptors is a key to a deep understanding of Python because they are the basis for many features including functions, methods, properties, class methods, static methods, and reference to super classes. For more information about descriptors' methods, see :ref:`descriptors` or the :ref:`Descriptor How To Guide `. dictionary An associative array, where arbitrary keys are mapped to values. The keys can be any object with :meth:`~object.__hash__` and :meth:`~object.__eq__` methods. Called a hash in Perl. dictionary comprehension A compact way to process all or part of the elements in an iterable and return a dictionary with the results. ``results = {n: n ** 2 for n in range(10)}`` generates a dictionary containing key ``n`` mapped to value ``n ** 2``. See :ref:`comprehensions`. dictionary view The objects returned from :meth:`dict.keys`, :meth:`dict.values`, and :meth:`dict.items` are called dictionary views. They provide a dynamic view on the dictionary’s entries, which means that when the dictionary changes, the view reflects these changes. To force the dictionary view to become a full list use ``list(dictview)``. See :ref:`dict-views`. docstring A string literal which appears as the first expression in a class, function or module. While ignored when the suite is executed, it is recognized by the compiler and put into the :attr:`~definition.__doc__` attribute of the enclosing class, function or module. Since it is available via introspection, it is the canonical place for documentation of the object. duck-typing A programming style which does not look at an object's type to determine if it has the right interface; instead, the method or attribute is simply called or used ("If it looks like a duck and quacks like a duck, it must be a duck.") By emphasizing interfaces rather than specific types, well-designed code improves its flexibility by allowing polymorphic substitution. Duck-typing avoids tests using :func:`type` or :func:`isinstance`. (Note, however, that duck-typing can be complemented with :term:`abstract base classes `.) Instead, it typically employs :func:`hasattr` tests or :term:`EAFP` programming. EAFP Easier to ask for forgiveness than permission. This common Python coding style assumes the existence of valid keys or attributes and catches exceptions if the assumption proves false. This clean and fast style is characterized by the presence of many :keyword:`try` and :keyword:`except` statements. The technique contrasts with the :term:`LBYL` style common to many other languages such as C. expression A piece of syntax which can be evaluated to some value. In other words, an expression is an accumulation of expression elements like literals, names, attribute access, operators or function calls which all return a value. In contrast to many other languages, not all language constructs are expressions. There are also :term:`statement`\s which cannot be used as expressions, such as :keyword:`while`. Assignments are also statements, not expressions. extension module A module written in C or C++, using Python's C API to interact with the core and with user code. f-string String literals prefixed with ``'f'`` or ``'F'`` are commonly called "f-strings" which is short for :ref:`formatted string literals `. See also :pep:`498`. file object An object exposing a file-oriented API (with methods such as :meth:`!read` or :meth:`!write`) to an underlying resource. Depending on the way it was created, a file object can mediate access to a real on-disk file or to another type of storage or communication device (for example standard input/output, in-memory buffers, sockets, pipes, etc.). File objects are also called :dfn:`file-like objects` or :dfn:`streams`. There are actually three categories of file objects: raw :term:`binary files `, buffered :term:`binary files ` and :term:`text files `. Their interfaces are defined in the :mod:`io` module. The canonical way to create a file object is by using the :func:`open` function. file-like object A synonym for :term:`file object`. filesystem encoding and error handler Encoding and error handler used by Python to decode bytes from the operating system and encode Unicode to the operating system. The filesystem encoding must guarantee to successfully decode all bytes below 128. If the file system encoding fails to provide this guarantee, API functions can raise :exc:`UnicodeError`. The :func:`sys.getfilesystemencoding` and :func:`sys.getfilesystemencodeerrors` functions can be used to get the filesystem encoding and error handler. The :term:`filesystem encoding and error handler` are configured at Python startup by the :c:func:`PyConfig_Read` function: see :c:member:`~PyConfig.filesystem_encoding` and :c:member:`~PyConfig.filesystem_errors` members of :c:type:`PyConfig`. See also the :term:`locale encoding`. finder An object that tries to find the :term:`loader` for a module that is being imported. There are two types of finder: :term:`meta path finders ` for use with :data:`sys.meta_path`, and :term:`path entry finders ` for use with :data:`sys.path_hooks`. See :ref:`importsystem` and :mod:`importlib` for much more detail. floor division Mathematical division that rounds down to nearest integer. The floor division operator is ``//``. For example, the expression ``11 // 4`` evaluates to ``2`` in contrast to the ``2.75`` returned by float true division. Note that ``(-11) // 4`` is ``-3`` because that is ``-2.75`` rounded *downward*. See :pep:`238`. free threading A threading model where multiple threads can run Python bytecode simultaneously within the same interpreter. This is in contrast to the :term:`global interpreter lock` which allows only one thread to execute Python bytecode at a time. See :pep:`703`. function A series of statements which returns some value to a caller. It can also be passed zero or more :term:`arguments ` which may be used in the execution of the body. See also :term:`parameter`, :term:`method`, and the :ref:`function` section. function annotation An :term:`annotation` of a function parameter or return value. Function annotations are usually used for :term:`type hints `: for example, this function is expected to take two :class:`int` arguments and is also expected to have an :class:`int` return value:: def sum_two_numbers(a: int, b: int) -> int: return a + b Function annotation syntax is explained in section :ref:`function`. See :term:`variable annotation` and :pep:`484`, which describe this functionality. Also see :ref:`annotations-howto` for best practices on working with annotations. __future__ A :ref:`future statement `, ``from __future__ import ``, directs the compiler to compile the current module using syntax or semantics that will become standard in a future release of Python. The :mod:`__future__` module documents the possible values of *feature*. By importing this module and evaluating its variables, you can see when a new feature was first added to the language and when it will (or did) become the default:: >>> import __future__ >>> __future__.division _Feature((2, 2, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0), 8192) garbage collection The process of freeing memory when it is not used anymore. Python performs garbage collection via reference counting and a cyclic garbage collector that is able to detect and break reference cycles. The garbage collector can be controlled using the :mod:`gc` module. .. index:: single: generator generator A function which returns a :term:`generator iterator`. It looks like a normal function except that it contains :keyword:`yield` expressions for producing a series of values usable in a for-loop or that can be retrieved one at a time with the :func:`next` function. Usually refers to a generator function, but may refer to a *generator iterator* in some contexts. In cases where the intended meaning isn't clear, using the full terms avoids ambiguity. generator iterator An object created by a :term:`generator` function. Each :keyword:`yield` temporarily suspends processing, remembering the location execution state (including local variables and pending try-statements). When the *generator iterator* resumes, it picks up where it left off (in contrast to functions which start fresh on every invocation). .. index:: single: generator expression generator expression An :term:`expression` that returns an :term:`iterator`. It looks like a normal expression followed by a :keyword:`!for` clause defining a loop variable, range, and an optional :keyword:`!if` clause. The combined expression generates values for an enclosing function:: >>> sum(i*i for i in range(10)) # sum of squares 0, 1, 4, ... 81 285 generic function A function composed of multiple functions implementing the same operation for different types. Which implementation should be used during a call is determined by the dispatch algorithm. See also the :term:`single dispatch` glossary entry, the :func:`functools.singledispatch` decorator, and :pep:`443`. generic type A :term:`type` that can be parameterized; typically a :ref:`container class` such as :class:`list` or :class:`dict`. Used for :term:`type hints ` and :term:`annotations `. For more details, see :ref:`generic alias types`, :pep:`483`, :pep:`484`, :pep:`585`, and the :mod:`typing` module. GIL See :term:`global interpreter lock`. global interpreter lock The mechanism used by the :term:`CPython` interpreter to assure that only one thread executes Python :term:`bytecode` at a time. This simplifies the CPython implementation by making the object model (including critical built-in types such as :class:`dict`) implicitly safe against concurrent access. Locking the entire interpreter makes it easier for the interpreter to be multi-threaded, at the expense of much of the parallelism afforded by multi-processor machines. However, some extension modules, either standard or third-party, are designed so as to release the GIL when doing computationally intensive tasks such as compression or hashing. Also, the GIL is always released when doing I/O. As of Python 3.13, the GIL can be disabled using the :option:`--disable-gil` build configuration. After building Python with this option, code must be run with :option:`-X gil 0 <-X>` or after setting the :envvar:`PYTHON_GIL=0 ` environment variable. This feature enables improved performance for multi-threaded applications and makes it easier to use multi-core CPUs efficiently. For more details, see :pep:`703`. hash-based pyc A bytecode cache file that uses the hash rather than the last-modified time of the corresponding source file to determine its validity. See :ref:`pyc-invalidation`. hashable An object is *hashable* if it has a hash value which never changes during its lifetime (it needs a :meth:`~object.__hash__` method), and can be compared to other objects (it needs an :meth:`~object.__eq__` method). Hashable objects which compare equal must have the same hash value. Hashability makes an object usable as a dictionary key and a set member, because these data structures use the hash value internally. Most of Python's immutable built-in objects are hashable; mutable containers (such as lists or dictionaries) are not; immutable containers (such as tuples and frozensets) are only hashable if their elements are hashable. Objects which are instances of user-defined classes are hashable by default. They all compare unequal (except with themselves), and their hash value is derived from their :func:`id`. IDLE An Integrated Development and Learning Environment for Python. :ref:`idle` is a basic editor and interpreter environment which ships with the standard distribution of Python. immortal *Immortal objects* are a CPython implementation detail introduced in :pep:`683`. If an object is immortal, its :term:`reference count` is never modified, and therefore it is never deallocated while the interpreter is running. For example, :const:`True` and :const:`None` are immortal in CPython. immutable An object with a fixed value. Immutable objects include numbers, strings and tuples. Such an object cannot be altered. A new object has to be created if a different value has to be stored. They play an important role in places where a constant hash value is needed, for example as a key in a dictionary. import path A list of locations (or :term:`path entries `) that are searched by the :term:`path based finder` for modules to import. During import, this list of locations usually comes from :data:`sys.path`, but for subpackages it may also come from the parent package's ``__path__`` attribute. importing The process by which Python code in one module is made available to Python code in another module. importer An object that both finds and loads a module; both a :term:`finder` and :term:`loader` object. interactive Python has an interactive interpreter which means you can enter statements and expressions at the interpreter prompt, immediately execute them and see their results. Just launch ``python`` with no arguments (possibly by selecting it from your computer's main menu). It is a very powerful way to test out new ideas or inspect modules and packages (remember ``help(x)``). For more on interactive mode, see :ref:`tut-interac`. interpreted Python is an interpreted language, as opposed to a compiled one, though the distinction can be blurry because of the presence of the bytecode compiler. This means that source files can be run directly without explicitly creating an executable which is then run. Interpreted languages typically have a shorter development/debug cycle than compiled ones, though their programs generally also run more slowly. See also :term:`interactive`. interpreter shutdown When asked to shut down, the Python interpreter enters a special phase where it gradually releases all allocated resources, such as modules and various critical internal structures. It also makes several calls to the :term:`garbage collector `. This can trigger the execution of code in user-defined destructors or weakref callbacks. Code executed during the shutdown phase can encounter various exceptions as the resources it relies on may not function anymore (common examples are library modules or the warnings machinery). The main reason for interpreter shutdown is that the ``__main__`` module or the script being run has finished executing. iterable An object capable of returning its members one at a time. Examples of iterables include all sequence types (such as :class:`list`, :class:`str`, and :class:`tuple`) and some non-sequence types like :class:`dict`, :term:`file objects `, and objects of any classes you define with an :meth:`~iterator.__iter__` method or with a :meth:`~object.__getitem__` method that implements :term:`sequence` semantics. Iterables can be used in a :keyword:`for` loop and in many other places where a sequence is needed (:func:`zip`, :func:`map`, ...). When an iterable object is passed as an argument to the built-in function :func:`iter`, it returns an iterator for the object. This iterator is good for one pass over the set of values. When using iterables, it is usually not necessary to call :func:`iter` or deal with iterator objects yourself. The :keyword:`for` statement does that automatically for you, creating a temporary unnamed variable to hold the iterator for the duration of the loop. See also :term:`iterator`, :term:`sequence`, and :term:`generator`. iterator An object representing a stream of data. Repeated calls to the iterator's :meth:`~iterator.__next__` method (or passing it to the built-in function :func:`next`) return successive items in the stream. When no more data are available a :exc:`StopIteration` exception is raised instead. At this point, the iterator object is exhausted and any further calls to its :meth:`!__next__` method just raise :exc:`StopIteration` again. Iterators are required to have an :meth:`~iterator.__iter__` method that returns the iterator object itself so every iterator is also iterable and may be used in most places where other iterables are accepted. One notable exception is code which attempts multiple iteration passes. A container object (such as a :class:`list`) produces a fresh new iterator each time you pass it to the :func:`iter` function or use it in a :keyword:`for` loop. Attempting this with an iterator will just return the same exhausted iterator object used in the previous iteration pass, making it appear like an empty container. More information can be found in :ref:`typeiter`. .. impl-detail:: CPython does not consistently apply the requirement that an iterator define :meth:`~iterator.__iter__`. And also please note that the free-threading CPython does not guarantee the thread-safety of iterator operations. key function A key function or collation function is a callable that returns a value used for sorting or ordering. For example, :func:`locale.strxfrm` is used to produce a sort key that is aware of locale specific sort conventions. A number of tools in Python accept key functions to control how elements are ordered or grouped. They include :func:`min`, :func:`max`, :func:`sorted`, :meth:`list.sort`, :func:`heapq.merge`, :func:`heapq.nsmallest`, :func:`heapq.nlargest`, and :func:`itertools.groupby`. There are several ways to create a key function. For example. the :meth:`str.lower` method can serve as a key function for case insensitive sorts. Alternatively, a key function can be built from a :keyword:`lambda` expression such as ``lambda r: (r[0], r[2])``. Also, :func:`operator.attrgetter`, :func:`operator.itemgetter`, and :func:`operator.methodcaller` are three key function constructors. See the :ref:`Sorting HOW TO ` for examples of how to create and use key functions. keyword argument See :term:`argument`. lambda An anonymous inline function consisting of a single :term:`expression` which is evaluated when the function is called. The syntax to create a lambda function is ``lambda [parameters]: expression`` LBYL Look before you leap. This coding style explicitly tests for pre-conditions before making calls or lookups. This style contrasts with the :term:`EAFP` approach and is characterized by the presence of many :keyword:`if` statements. In a multi-threaded environment, the LBYL approach can risk introducing a race condition between "the looking" and "the leaping". For example, the code, ``if key in mapping: return mapping[key]`` can fail if another thread removes *key* from *mapping* after the test, but before the lookup. This issue can be solved with locks or by using the EAFP approach. list A built-in Python :term:`sequence`. Despite its name it is more akin to an array in other languages than to a linked list since access to elements is *O*\ (1). list comprehension A compact way to process all or part of the elements in a sequence and return a list with the results. ``result = ['{:#04x}'.format(x) for x in range(256) if x % 2 == 0]`` generates a list of strings containing even hex numbers (0x..) in the range from 0 to 255. The :keyword:`if` clause is optional. If omitted, all elements in ``range(256)`` are processed. loader An object that loads a module. It must define a method named :meth:`load_module`. A loader is typically returned by a :term:`finder`. See :pep:`302` for details and :class:`importlib.abc.Loader` for an :term:`abstract base class`. locale encoding On Unix, it is the encoding of the LC_CTYPE locale. It can be set with :func:`locale.setlocale(locale.LC_CTYPE, new_locale) `. On Windows, it is the ANSI code page (ex: ``"cp1252"``). On Android and VxWorks, Python uses ``"utf-8"`` as the locale encoding. :func:`locale.getencoding` can be used to get the locale encoding. See also the :term:`filesystem encoding and error handler`. magic method .. index:: pair: magic; method An informal synonym for :term:`special method`. mapping A container object that supports arbitrary key lookups and implements the methods specified in the :class:`collections.abc.Mapping` or :class:`collections.abc.MutableMapping` :ref:`abstract base classes `. Examples include :class:`dict`, :class:`collections.defaultdict`, :class:`collections.OrderedDict` and :class:`collections.Counter`. meta path finder A :term:`finder` returned by a search of :data:`sys.meta_path`. Meta path finders are related to, but different from :term:`path entry finders `. See :class:`importlib.abc.MetaPathFinder` for the methods that meta path finders implement. metaclass The class of a class. Class definitions create a class name, a class dictionary, and a list of base classes. The metaclass is responsible for taking those three arguments and creating the class. Most object oriented programming languages provide a default implementation. What makes Python special is that it is possible to create custom metaclasses. Most users never need this tool, but when the need arises, metaclasses can provide powerful, elegant solutions. They have been used for logging attribute access, adding thread-safety, tracking object creation, implementing singletons, and many other tasks. More information can be found in :ref:`metaclasses`. method A function which is defined inside a class body. If called as an attribute of an instance of that class, the method will get the instance object as its first :term:`argument` (which is usually called ``self``). See :term:`function` and :term:`nested scope`. method resolution order Method Resolution Order is the order in which base classes are searched for a member during lookup. See :ref:`python_2.3_mro` for details of the algorithm used by the Python interpreter since the 2.3 release. module An object that serves as an organizational unit of Python code. Modules have a namespace containing arbitrary Python objects. Modules are loaded into Python by the process of :term:`importing`. See also :term:`package`. module spec A namespace containing the import-related information used to load a module. An instance of :class:`importlib.machinery.ModuleSpec`. MRO See :term:`method resolution order`. mutable Mutable objects can change their value but keep their :func:`id`. See also :term:`immutable`. named tuple The term "named tuple" applies to any type or class that inherits from tuple and whose indexable elements are also accessible using named attributes. The type or class may have other features as well. Several built-in types are named tuples, including the values returned by :func:`time.localtime` and :func:`os.stat`. Another example is :data:`sys.float_info`:: >>> sys.float_info[1] # indexed access 1024 >>> sys.float_info.max_exp # named field access 1024 >>> isinstance(sys.float_info, tuple) # kind of tuple True Some named tuples are built-in types (such as the above examples). Alternatively, a named tuple can be created from a regular class definition that inherits from :class:`tuple` and that defines named fields. Such a class can be written by hand, or it can be created by inheriting :class:`typing.NamedTuple`, or with the factory function :func:`collections.namedtuple`. The latter techniques also add some extra methods that may not be found in hand-written or built-in named tuples. namespace The place where a variable is stored. Namespaces are implemented as dictionaries. There are the local, global and built-in namespaces as well as nested namespaces in objects (in methods). Namespaces support modularity by preventing naming conflicts. For instance, the functions :func:`builtins.open <.open>` and :func:`os.open` are distinguished by their namespaces. Namespaces also aid readability and maintainability by making it clear which module implements a function. For instance, writing :func:`random.seed` or :func:`itertools.islice` makes it clear that those functions are implemented by the :mod:`random` and :mod:`itertools` modules, respectively. namespace package A :pep:`420` :term:`package` which serves only as a container for subpackages. Namespace packages may have no physical representation, and specifically are not like a :term:`regular package` because they have no ``__init__.py`` file. See also :term:`module`. nested scope The ability to refer to a variable in an enclosing definition. For instance, a function defined inside another function can refer to variables in the outer function. Note that nested scopes by default work only for reference and not for assignment. Local variables both read and write in the innermost scope. Likewise, global variables read and write to the global namespace. The :keyword:`nonlocal` allows writing to outer scopes. new-style class Old name for the flavor of classes now used for all class objects. In earlier Python versions, only new-style classes could use Python's newer, versatile features like :attr:`~object.__slots__`, descriptors, properties, :meth:`~object.__getattribute__`, class methods, and static methods. object Any data with state (attributes or value) and defined behavior (methods). Also the ultimate base class of any :term:`new-style class`. optimized scope A scope where target local variable names are reliably known to the compiler when the code is compiled, allowing optimization of read and write access to these names. The local namespaces for functions, generators, coroutines, comprehensions, and generator expressions are optimized in this fashion. Note: most interpreter optimizations are applied to all scopes, only those relying on a known set of local and nonlocal variable names are restricted to optimized scopes. package A Python :term:`module` which can contain submodules or recursively, subpackages. Technically, a package is a Python module with a ``__path__`` attribute. See also :term:`regular package` and :term:`namespace package`. parameter A named entity in a :term:`function` (or method) definition that specifies an :term:`argument` (or in some cases, arguments) that the function can accept. There are five kinds of parameter: * :dfn:`positional-or-keyword`: specifies an argument that can be passed either :term:`positionally ` or as a :term:`keyword argument `. This is the default kind of parameter, for example *foo* and *bar* in the following:: def func(foo, bar=None): ... .. _positional-only_parameter: * :dfn:`positional-only`: specifies an argument that can be supplied only by position. Positional-only parameters can be defined by including a ``/`` character in the parameter list of the function definition after them, for example *posonly1* and *posonly2* in the following:: def func(posonly1, posonly2, /, positional_or_keyword): ... .. _keyword-only_parameter: * :dfn:`keyword-only`: specifies an argument that can be supplied only by keyword. Keyword-only parameters can be defined by including a single var-positional parameter or bare ``*`` in the parameter list of the function definition before them, for example *kw_only1* and *kw_only2* in the following:: def func(arg, *, kw_only1, kw_only2): ... * :dfn:`var-positional`: specifies that an arbitrary sequence of positional arguments can be provided (in addition to any positional arguments already accepted by other parameters). Such a parameter can be defined by prepending the parameter name with ``*``, for example *args* in the following:: def func(*args, **kwargs): ... * :dfn:`var-keyword`: specifies that arbitrarily many keyword arguments can be provided (in addition to any keyword arguments already accepted by other parameters). Such a parameter can be defined by prepending the parameter name with ``**``, for example *kwargs* in the example above. Parameters can specify both optional and required arguments, as well as default values for some optional arguments. See also the :term:`argument` glossary entry, the FAQ question on :ref:`the difference between arguments and parameters `, the :class:`inspect.Parameter` class, the :ref:`function` section, and :pep:`362`. path entry A single location on the :term:`import path` which the :term:`path based finder` consults to find modules for importing. path entry finder A :term:`finder` returned by a callable on :data:`sys.path_hooks` (i.e. a :term:`path entry hook`) which knows how to locate modules given a :term:`path entry`. See :class:`importlib.abc.PathEntryFinder` for the methods that path entry finders implement. path entry hook A callable on the :data:`sys.path_hooks` list which returns a :term:`path entry finder` if it knows how to find modules on a specific :term:`path entry`. path based finder One of the default :term:`meta path finders ` which searches an :term:`import path` for modules. path-like object An object representing a file system path. A path-like object is either a :class:`str` or :class:`bytes` object representing a path, or an object implementing the :class:`os.PathLike` protocol. An object that supports the :class:`os.PathLike` protocol can be converted to a :class:`str` or :class:`bytes` file system path by calling the :func:`os.fspath` function; :func:`os.fsdecode` and :func:`os.fsencode` can be used to guarantee a :class:`str` or :class:`bytes` result instead, respectively. Introduced by :pep:`519`. PEP Python Enhancement Proposal. A PEP is a design document providing information to the Python community, or describing a new feature for Python or its processes or environment. PEPs should provide a concise technical specification and a rationale for proposed features. PEPs are intended to be the primary mechanisms for proposing major new features, for collecting community input on an issue, and for documenting the design decisions that have gone into Python. The PEP author is responsible for building consensus within the community and documenting dissenting opinions. See :pep:`1`. portion A set of files in a single directory (possibly stored in a zip file) that contribute to a namespace package, as defined in :pep:`420`. positional argument See :term:`argument`. provisional API A provisional API is one which has been deliberately excluded from the standard library's backwards compatibility guarantees. While major changes to such interfaces are not expected, as long as they are marked provisional, backwards incompatible changes (up to and including removal of the interface) may occur if deemed necessary by core developers. Such changes will not be made gratuitously -- they will occur only if serious fundamental flaws are uncovered that were missed prior to the inclusion of the API. Even for provisional APIs, backwards incompatible changes are seen as a "solution of last resort" - every attempt will still be made to find a backwards compatible resolution to any identified problems. This process allows the standard library to continue to evolve over time, without locking in problematic design errors for extended periods of time. See :pep:`411` for more details. provisional package See :term:`provisional API`. Python 3000 Nickname for the Python 3.x release line (coined long ago when the release of version 3 was something in the distant future.) This is also abbreviated "Py3k". Pythonic An idea or piece of code which closely follows the most common idioms of the Python language, rather than implementing code using concepts common to other languages. For example, a common idiom in Python is to loop over all elements of an iterable using a :keyword:`for` statement. Many other languages don't have this type of construct, so people unfamiliar with Python sometimes use a numerical counter instead:: for i in range(len(food)): print(food[i]) As opposed to the cleaner, Pythonic method:: for piece in food: print(piece) qualified name A dotted name showing the "path" from a module's global scope to a class, function or method defined in that module, as defined in :pep:`3155`. For top-level functions and classes, the qualified name is the same as the object's name:: >>> class C: ... class D: ... def meth(self): ... pass ... >>> C.__qualname__ 'C' >>> C.D.__qualname__ 'C.D' >>> C.D.meth.__qualname__ 'C.D.meth' When used to refer to modules, the *fully qualified name* means the entire dotted path to the module, including any parent packages, e.g. ``email.mime.text``:: >>> import email.mime.text >>> email.mime.text.__name__ 'email.mime.text' reference count The number of references to an object. When the reference count of an object drops to zero, it is deallocated. Some objects are :term:`immortal` and have reference counts that are never modified, and therefore the objects are never deallocated. Reference counting is generally not visible to Python code, but it is a key element of the :term:`CPython` implementation. Programmers can call the :func:`sys.getrefcount` function to return the reference count for a particular object. regular package A traditional :term:`package`, such as a directory containing an ``__init__.py`` file. See also :term:`namespace package`. REPL An acronym for the "read–eval–print loop", another name for the :term:`interactive` interpreter shell. __slots__ A declaration inside a class that saves memory by pre-declaring space for instance attributes and eliminating instance dictionaries. Though popular, the technique is somewhat tricky to get right and is best reserved for rare cases where there are large numbers of instances in a memory-critical application. sequence An :term:`iterable` which supports efficient element access using integer indices via the :meth:`~object.__getitem__` special method and defines a :meth:`~object.__len__` method that returns the length of the sequence. Some built-in sequence types are :class:`list`, :class:`str`, :class:`tuple`, and :class:`bytes`. Note that :class:`dict` also supports :meth:`~object.__getitem__` and :meth:`!__len__`, but is considered a mapping rather than a sequence because the lookups use arbitrary :term:`hashable` keys rather than integers. The :class:`collections.abc.Sequence` abstract base class defines a much richer interface that goes beyond just :meth:`~object.__getitem__` and :meth:`~object.__len__`, adding :meth:`!count`, :meth:`!index`, :meth:`~object.__contains__`, and :meth:`~object.__reversed__`. Types that implement this expanded interface can be registered explicitly using :func:`~abc.ABCMeta.register`. For more documentation on sequence methods generally, see :ref:`Common Sequence Operations `. set comprehension A compact way to process all or part of the elements in an iterable and return a set with the results. ``results = {c for c in 'abracadabra' if c not in 'abc'}`` generates the set of strings ``{'r', 'd'}``. See :ref:`comprehensions`. single dispatch A form of :term:`generic function` dispatch where the implementation is chosen based on the type of a single argument. slice An object usually containing a portion of a :term:`sequence`. A slice is created using the subscript notation, ``[]`` with colons between numbers when several are given, such as in ``variable_name[1:3:5]``. The bracket (subscript) notation uses :class:`slice` objects internally. soft deprecated A soft deprecation can be used when using an API which should no longer be used to write new code, but it remains safe to continue using it in existing code. The API remains documented and tested, but will not be developed further (no enhancement). The main difference between a "soft" and a (regular) "hard" deprecation is that the soft deprecation does not imply scheduling the removal of the deprecated API. Another difference is that a soft deprecation does not issue a warning. See `PEP 387: Soft Deprecation `_. special method .. index:: pair: special; method A method that is called implicitly by Python to execute a certain operation on a type, such as addition. Such methods have names starting and ending with double underscores. Special methods are documented in :ref:`specialnames`. statement A statement is part of a suite (a "block" of code). A statement is either an :term:`expression` or one of several constructs with a keyword, such as :keyword:`if`, :keyword:`while` or :keyword:`for`. static type checker An external tool that reads Python code and analyzes it, looking for issues such as incorrect types. See also :term:`type hints ` and the :mod:`typing` module. strong reference In Python's C API, a strong reference is a reference to an object which is owned by the code holding the reference. The strong reference is taken by calling :c:func:`Py_INCREF` when the reference is created and released with :c:func:`Py_DECREF` when the reference is deleted. The :c:func:`Py_NewRef` function can be used to create a strong reference to an object. Usually, the :c:func:`Py_DECREF` function must be called on the strong reference before exiting the scope of the strong reference, to avoid leaking one reference. See also :term:`borrowed reference`. text encoding A string in Python is a sequence of Unicode code points (in range ``U+0000``--``U+10FFFF``). To store or transfer a string, it needs to be serialized as a sequence of bytes. Serializing a string into a sequence of bytes is known as "encoding", and recreating the string from the sequence of bytes is known as "decoding". There are a variety of different text serialization :ref:`codecs `, which are collectively referred to as "text encodings". text file A :term:`file object` able to read and write :class:`str` objects. Often, a text file actually accesses a byte-oriented datastream and handles the :term:`text encoding` automatically. Examples of text files are files opened in text mode (``'r'`` or ``'w'``), :data:`sys.stdin`, :data:`sys.stdout`, and instances of :class:`io.StringIO`. See also :term:`binary file` for a file object able to read and write :term:`bytes-like objects `. triple-quoted string A string which is bound by three instances of either a quotation mark (") or an apostrophe ('). While they don't provide any functionality not available with single-quoted strings, they are useful for a number of reasons. They allow you to include unescaped single and double quotes within a string and they can span multiple lines without the use of the continuation character, making them especially useful when writing docstrings. type The type of a Python object determines what kind of object it is; every object has a type. An object's type is accessible as its :attr:`~object.__class__` attribute or can be retrieved with ``type(obj)``. type alias A synonym for a type, created by assigning the type to an identifier. Type aliases are useful for simplifying :term:`type hints `. For example:: def remove_gray_shades( colors: list[tuple[int, int, int]]) -> list[tuple[int, int, int]]: pass could be made more readable like this:: Color = tuple[int, int, int] def remove_gray_shades(colors: list[Color]) -> list[Color]: pass See :mod:`typing` and :pep:`484`, which describe this functionality. type hint An :term:`annotation` that specifies the expected type for a variable, a class attribute, or a function parameter or return value. Type hints are optional and are not enforced by Python but they are useful to :term:`static type checkers `. They can also aid IDEs with code completion and refactoring. Type hints of global variables, class attributes, and functions, but not local variables, can be accessed using :func:`typing.get_type_hints`. See :mod:`typing` and :pep:`484`, which describe this functionality. universal newlines A manner of interpreting text streams in which all of the following are recognized as ending a line: the Unix end-of-line convention ``'\n'``, the Windows convention ``'\r\n'``, and the old Macintosh convention ``'\r'``. See :pep:`278` and :pep:`3116`, as well as :func:`bytes.splitlines` for an additional use. variable annotation An :term:`annotation` of a variable or a class attribute. When annotating a variable or a class attribute, assignment is optional:: class C: field: 'annotation' Variable annotations are usually used for :term:`type hints `: for example this variable is expected to take :class:`int` values:: count: int = 0 Variable annotation syntax is explained in section :ref:`annassign`. See :term:`function annotation`, :pep:`484` and :pep:`526`, which describe this functionality. Also see :ref:`annotations-howto` for best practices on working with annotations. virtual environment A cooperatively isolated runtime environment that allows Python users and applications to install and upgrade Python distribution packages without interfering with the behaviour of other Python applications running on the same system. See also :mod:`venv`. virtual machine A computer defined entirely in software. Python's virtual machine executes the :term:`bytecode` emitted by the bytecode compiler. Zen of Python Listing of Python design principles and philosophies that are helpful in understanding and using the language. The listing can be found by typing "``import this``" at the interactive prompt. pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/data/Doc/howto/000077500000000000000000000000001514162565100302225ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/data/Doc/howto/annotations.rst000066400000000000000000000222271514162565100333160ustar00rootroot00000000000000.. _annotations-howto: ************************** Annotations Best Practices ************************** :author: Larry Hastings .. topic:: Abstract This document is designed to encapsulate the best practices for working with annotations dicts. If you write Python code that examines ``__annotations__`` on Python objects, we encourage you to follow the guidelines described below. The document is organized into four sections: best practices for accessing the annotations of an object in Python versions 3.10 and newer, best practices for accessing the annotations of an object in Python versions 3.9 and older, other best practices for ``__annotations__`` that apply to any Python version, and quirks of ``__annotations__``. Note that this document is specifically about working with ``__annotations__``, not uses *for* annotations. If you're looking for information on how to use "type hints" in your code, please see the :mod:`typing` module. Accessing The Annotations Dict Of An Object In Python 3.10 And Newer ==================================================================== Python 3.10 adds a new function to the standard library: :func:`inspect.get_annotations`. In Python versions 3.10 and newer, calling this function is the best practice for accessing the annotations dict of any object that supports annotations. This function can also "un-stringize" stringized annotations for you. If for some reason :func:`inspect.get_annotations` isn't viable for your use case, you may access the ``__annotations__`` data member manually. Best practice for this changed in Python 3.10 as well: as of Python 3.10, ``o.__annotations__`` is guaranteed to *always* work on Python functions, classes, and modules. If you're certain the object you're examining is one of these three *specific* objects, you may simply use ``o.__annotations__`` to get at the object's annotations dict. However, other types of callables--for example, callables created by :func:`functools.partial`--may not have an ``__annotations__`` attribute defined. When accessing the ``__annotations__`` of a possibly unknown object, best practice in Python versions 3.10 and newer is to call :func:`getattr` with three arguments, for example ``getattr(o, '__annotations__', None)``. Before Python 3.10, accessing ``__annotations__`` on a class that defines no annotations but that has a parent class with annotations would return the parent's ``__annotations__``. In Python 3.10 and newer, the child class's annotations will be an empty dict instead. Accessing The Annotations Dict Of An Object In Python 3.9 And Older =================================================================== In Python 3.9 and older, accessing the annotations dict of an object is much more complicated than in newer versions. The problem is a design flaw in these older versions of Python, specifically to do with class annotations. Best practice for accessing the annotations dict of other objects--functions, other callables, and modules--is the same as best practice for 3.10, assuming you aren't calling :func:`inspect.get_annotations`: you should use three-argument :func:`getattr` to access the object's ``__annotations__`` attribute. Unfortunately, this isn't best practice for classes. The problem is that, since ``__annotations__`` is optional on classes, and because classes can inherit attributes from their base classes, accessing the ``__annotations__`` attribute of a class may inadvertently return the annotations dict of a *base class.* As an example:: class Base: a: int = 3 b: str = 'abc' class Derived(Base): pass print(Derived.__annotations__) This will print the annotations dict from ``Base``, not ``Derived``. Your code will have to have a separate code path if the object you're examining is a class (``isinstance(o, type)``). In that case, best practice relies on an implementation detail of Python 3.9 and before: if a class has annotations defined, they are stored in the class's :attr:`~type.__dict__` dictionary. Since the class may or may not have annotations defined, best practice is to call the :meth:`~dict.get` method on the class dict. To put it all together, here is some sample code that safely accesses the ``__annotations__`` attribute on an arbitrary object in Python 3.9 and before:: if isinstance(o, type): ann = o.__dict__.get('__annotations__', None) else: ann = getattr(o, '__annotations__', None) After running this code, ``ann`` should be either a dictionary or ``None``. You're encouraged to double-check the type of ``ann`` using :func:`isinstance` before further examination. Note that some exotic or malformed type objects may not have a :attr:`~type.__dict__` attribute, so for extra safety you may also wish to use :func:`getattr` to access :attr:`!__dict__`. Manually Un-Stringizing Stringized Annotations ============================================== In situations where some annotations may be "stringized", and you wish to evaluate those strings to produce the Python values they represent, it really is best to call :func:`inspect.get_annotations` to do this work for you. If you're using Python 3.9 or older, or if for some reason you can't use :func:`inspect.get_annotations`, you'll need to duplicate its logic. You're encouraged to examine the implementation of :func:`inspect.get_annotations` in the current Python version and follow a similar approach. In a nutshell, if you wish to evaluate a stringized annotation on an arbitrary object ``o``: * If ``o`` is a module, use ``o.__dict__`` as the ``globals`` when calling :func:`eval`. * If ``o`` is a class, use ``sys.modules[o.__module__].__dict__`` as the ``globals``, and ``dict(vars(o))`` as the ``locals``, when calling :func:`eval`. * If ``o`` is a wrapped callable using :func:`functools.update_wrapper`, :func:`functools.wraps`, or :func:`functools.partial`, iteratively unwrap it by accessing either ``o.__wrapped__`` or ``o.func`` as appropriate, until you have found the root unwrapped function. * If ``o`` is a callable (but not a class), use :attr:`o.__globals__ ` as the globals when calling :func:`eval`. However, not all string values used as annotations can be successfully turned into Python values by :func:`eval`. String values could theoretically contain any valid string, and in practice there are valid use cases for type hints that require annotating with string values that specifically *can't* be evaluated. For example: * :pep:`604` union types using ``|``, before support for this was added to Python 3.10. * Definitions that aren't needed at runtime, only imported when :const:`typing.TYPE_CHECKING` is true. If :func:`eval` attempts to evaluate such values, it will fail and raise an exception. So, when designing a library API that works with annotations, it's recommended to only attempt to evaluate string values when explicitly requested to by the caller. Best Practices For ``__annotations__`` In Any Python Version ============================================================ * You should avoid assigning to the ``__annotations__`` member of objects directly. Let Python manage setting ``__annotations__``. * If you do assign directly to the ``__annotations__`` member of an object, you should always set it to a ``dict`` object. * If you directly access the ``__annotations__`` member of an object, you should ensure that it's a dictionary before attempting to examine its contents. * You should avoid modifying ``__annotations__`` dicts. * You should avoid deleting the ``__annotations__`` attribute of an object. ``__annotations__`` Quirks ========================== In all versions of Python 3, function objects lazy-create an annotations dict if no annotations are defined on that object. You can delete the ``__annotations__`` attribute using ``del fn.__annotations__``, but if you then access ``fn.__annotations__`` the object will create a new empty dict that it will store and return as its annotations. Deleting the annotations on a function before it has lazily created its annotations dict will throw an ``AttributeError``; using ``del fn.__annotations__`` twice in a row is guaranteed to always throw an ``AttributeError``. Everything in the above paragraph also applies to class and module objects in Python 3.10 and newer. In all versions of Python 3, you can set ``__annotations__`` on a function object to ``None``. However, subsequently accessing the annotations on that object using ``fn.__annotations__`` will lazy-create an empty dictionary as per the first paragraph of this section. This is *not* true of modules and classes, in any Python version; those objects permit setting ``__annotations__`` to any Python value, and will retain whatever value is set. If Python stringizes your annotations for you (using ``from __future__ import annotations``), and you specify a string as an annotation, the string will itself be quoted. In effect the annotation is quoted *twice.* For example:: from __future__ import annotations def foo(a: "str"): pass print(foo.__annotations__) This prints ``{'a': "'str'"}``. This shouldn't really be considered a "quirk"; it's mentioned here simply because it might be surprising. pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/data/Doc/howto/argparse.rst000066400000000000000000000630641514162565100325710ustar00rootroot00000000000000.. _argparse-tutorial: ***************** Argparse Tutorial ***************** :author: Tshepang Mbambo .. currentmodule:: argparse This tutorial is intended to be a gentle introduction to :mod:`argparse`, the recommended command-line parsing module in the Python standard library. .. note:: There are two other modules that fulfill the same task, namely :mod:`getopt` (an equivalent for ``getopt()`` from the C language) and the deprecated :mod:`optparse`. Note also that :mod:`argparse` is based on :mod:`optparse`, and therefore very similar in terms of usage. Concepts ======== Let's show the sort of functionality that we are going to explore in this introductory tutorial by making use of the :command:`ls` command: .. code-block:: shell-session $ ls cpython devguide prog.py pypy rm-unused-function.patch $ ls pypy ctypes_configure demo dotviewer include lib_pypy lib-python ... $ ls -l total 20 drwxr-xr-x 19 wena wena 4096 Feb 18 18:51 cpython drwxr-xr-x 4 wena wena 4096 Feb 8 12:04 devguide -rwxr-xr-x 1 wena wena 535 Feb 19 00:05 prog.py drwxr-xr-x 14 wena wena 4096 Feb 7 00:59 pypy -rw-r--r-- 1 wena wena 741 Feb 18 01:01 rm-unused-function.patch $ ls --help Usage: ls [OPTION]... [FILE]... List information about the FILEs (the current directory by default). Sort entries alphabetically if none of -cftuvSUX nor --sort is specified. ... A few concepts we can learn from the four commands: * The :command:`ls` command is useful when run without any options at all. It defaults to displaying the contents of the current directory. * If we want beyond what it provides by default, we tell it a bit more. In this case, we want it to display a different directory, ``pypy``. What we did is specify what is known as a positional argument. It's named so because the program should know what to do with the value, solely based on where it appears on the command line. This concept is more relevant to a command like :command:`cp`, whose most basic usage is ``cp SRC DEST``. The first position is *what you want copied,* and the second position is *where you want it copied to*. * Now, say we want to change behaviour of the program. In our example, we display more info for each file instead of just showing the file names. The ``-l`` in that case is known as an optional argument. * That's a snippet of the help text. It's very useful in that you can come across a program you have never used before, and can figure out how it works simply by reading its help text. The basics ========== Let us start with a very simple example which does (almost) nothing:: import argparse parser = argparse.ArgumentParser() parser.parse_args() Following is a result of running the code: .. code-block:: shell-session $ python prog.py $ python prog.py --help usage: prog.py [-h] options: -h, --help show this help message and exit $ python prog.py --verbose usage: prog.py [-h] prog.py: error: unrecognized arguments: --verbose $ python prog.py foo usage: prog.py [-h] prog.py: error: unrecognized arguments: foo Here is what is happening: * Running the script without any options results in nothing displayed to stdout. Not so useful. * The second one starts to display the usefulness of the :mod:`argparse` module. We have done almost nothing, but already we get a nice help message. * The ``--help`` option, which can also be shortened to ``-h``, is the only option we get for free (i.e. no need to specify it). Specifying anything else results in an error. But even then, we do get a useful usage message, also for free. Introducing Positional arguments ================================ An example:: import argparse parser = argparse.ArgumentParser() parser.add_argument("echo") args = parser.parse_args() print(args.echo) And running the code: .. code-block:: shell-session $ python prog.py usage: prog.py [-h] echo prog.py: error: the following arguments are required: echo $ python prog.py --help usage: prog.py [-h] echo positional arguments: echo options: -h, --help show this help message and exit $ python prog.py foo foo Here is what's happening: * We've added the :meth:`~ArgumentParser.add_argument` method, which is what we use to specify which command-line options the program is willing to accept. In this case, I've named it ``echo`` so that it's in line with its function. * Calling our program now requires us to specify an option. * The :meth:`~ArgumentParser.parse_args` method actually returns some data from the options specified, in this case, ``echo``. * The variable is some form of 'magic' that :mod:`argparse` performs for free (i.e. no need to specify which variable that value is stored in). You will also notice that its name matches the string argument given to the method, ``echo``. Note however that, although the help display looks nice and all, it currently is not as helpful as it can be. For example we see that we got ``echo`` as a positional argument, but we don't know what it does, other than by guessing or by reading the source code. So, let's make it a bit more useful:: import argparse parser = argparse.ArgumentParser() parser.add_argument("echo", help="echo the string you use here") args = parser.parse_args() print(args.echo) And we get: .. code-block:: shell-session $ python prog.py -h usage: prog.py [-h] echo positional arguments: echo echo the string you use here options: -h, --help show this help message and exit Now, how about doing something even more useful:: import argparse parser = argparse.ArgumentParser() parser.add_argument("square", help="display a square of a given number") args = parser.parse_args() print(args.square**2) Following is a result of running the code: .. code-block:: shell-session $ python prog.py 4 Traceback (most recent call last): File "prog.py", line 5, in print(args.square**2) TypeError: unsupported operand type(s) for ** or pow(): 'str' and 'int' That didn't go so well. That's because :mod:`argparse` treats the options we give it as strings, unless we tell it otherwise. So, let's tell :mod:`argparse` to treat that input as an integer:: import argparse parser = argparse.ArgumentParser() parser.add_argument("square", help="display a square of a given number", type=int) args = parser.parse_args() print(args.square**2) Following is a result of running the code: .. code-block:: shell-session $ python prog.py 4 16 $ python prog.py four usage: prog.py [-h] square prog.py: error: argument square: invalid int value: 'four' That went well. The program now even helpfully quits on bad illegal input before proceeding. Introducing Optional arguments ============================== So far we have been playing with positional arguments. Let us have a look on how to add optional ones:: import argparse parser = argparse.ArgumentParser() parser.add_argument("--verbosity", help="increase output verbosity") args = parser.parse_args() if args.verbosity: print("verbosity turned on") And the output: .. code-block:: shell-session $ python prog.py --verbosity 1 verbosity turned on $ python prog.py $ python prog.py --help usage: prog.py [-h] [--verbosity VERBOSITY] options: -h, --help show this help message and exit --verbosity VERBOSITY increase output verbosity $ python prog.py --verbosity usage: prog.py [-h] [--verbosity VERBOSITY] prog.py: error: argument --verbosity: expected one argument Here is what is happening: * The program is written so as to display something when ``--verbosity`` is specified and display nothing when not. * To show that the option is actually optional, there is no error when running the program without it. Note that by default, if an optional argument isn't used, the relevant variable, in this case ``args.verbosity``, is given ``None`` as a value, which is the reason it fails the truth test of the :keyword:`if` statement. * The help message is a bit different. * When using the ``--verbosity`` option, one must also specify some value, any value. The above example accepts arbitrary integer values for ``--verbosity``, but for our simple program, only two values are actually useful, ``True`` or ``False``. Let's modify the code accordingly:: import argparse parser = argparse.ArgumentParser() parser.add_argument("--verbose", help="increase output verbosity", action="store_true") args = parser.parse_args() if args.verbose: print("verbosity turned on") And the output: .. code-block:: shell-session $ python prog.py --verbose verbosity turned on $ python prog.py --verbose 1 usage: prog.py [-h] [--verbose] prog.py: error: unrecognized arguments: 1 $ python prog.py --help usage: prog.py [-h] [--verbose] options: -h, --help show this help message and exit --verbose increase output verbosity Here is what is happening: * The option is now more of a flag than something that requires a value. We even changed the name of the option to match that idea. Note that we now specify a new keyword, ``action``, and give it the value ``"store_true"``. This means that, if the option is specified, assign the value ``True`` to ``args.verbose``. Not specifying it implies ``False``. * It complains when you specify a value, in true spirit of what flags actually are. * Notice the different help text. Short options ------------- If you are familiar with command line usage, you will notice that I haven't yet touched on the topic of short versions of the options. It's quite simple:: import argparse parser = argparse.ArgumentParser() parser.add_argument("-v", "--verbose", help="increase output verbosity", action="store_true") args = parser.parse_args() if args.verbose: print("verbosity turned on") And here goes: .. code-block:: shell-session $ python prog.py -v verbosity turned on $ python prog.py --help usage: prog.py [-h] [-v] options: -h, --help show this help message and exit -v, --verbose increase output verbosity Note that the new ability is also reflected in the help text. Combining Positional and Optional arguments =========================================== Our program keeps growing in complexity:: import argparse parser = argparse.ArgumentParser() parser.add_argument("square", type=int, help="display a square of a given number") parser.add_argument("-v", "--verbose", action="store_true", help="increase output verbosity") args = parser.parse_args() answer = args.square**2 if args.verbose: print(f"the square of {args.square} equals {answer}") else: print(answer) And now the output: .. code-block:: shell-session $ python prog.py usage: prog.py [-h] [-v] square prog.py: error: the following arguments are required: square $ python prog.py 4 16 $ python prog.py 4 --verbose the square of 4 equals 16 $ python prog.py --verbose 4 the square of 4 equals 16 * We've brought back a positional argument, hence the complaint. * Note that the order does not matter. How about we give this program of ours back the ability to have multiple verbosity values, and actually get to use them:: import argparse parser = argparse.ArgumentParser() parser.add_argument("square", type=int, help="display a square of a given number") parser.add_argument("-v", "--verbosity", type=int, help="increase output verbosity") args = parser.parse_args() answer = args.square**2 if args.verbosity == 2: print(f"the square of {args.square} equals {answer}") elif args.verbosity == 1: print(f"{args.square}^2 == {answer}") else: print(answer) And the output: .. code-block:: shell-session $ python prog.py 4 16 $ python prog.py 4 -v usage: prog.py [-h] [-v VERBOSITY] square prog.py: error: argument -v/--verbosity: expected one argument $ python prog.py 4 -v 1 4^2 == 16 $ python prog.py 4 -v 2 the square of 4 equals 16 $ python prog.py 4 -v 3 16 These all look good except the last one, which exposes a bug in our program. Let's fix it by restricting the values the ``--verbosity`` option can accept:: import argparse parser = argparse.ArgumentParser() parser.add_argument("square", type=int, help="display a square of a given number") parser.add_argument("-v", "--verbosity", type=int, choices=[0, 1, 2], help="increase output verbosity") args = parser.parse_args() answer = args.square**2 if args.verbosity == 2: print(f"the square of {args.square} equals {answer}") elif args.verbosity == 1: print(f"{args.square}^2 == {answer}") else: print(answer) And the output: .. code-block:: shell-session $ python prog.py 4 -v 3 usage: prog.py [-h] [-v {0,1,2}] square prog.py: error: argument -v/--verbosity: invalid choice: 3 (choose from 0, 1, 2) $ python prog.py 4 -h usage: prog.py [-h] [-v {0,1,2}] square positional arguments: square display a square of a given number options: -h, --help show this help message and exit -v, --verbosity {0,1,2} increase output verbosity Note that the change also reflects both in the error message as well as the help string. Now, let's use a different approach of playing with verbosity, which is pretty common. It also matches the way the CPython executable handles its own verbosity argument (check the output of ``python --help``):: import argparse parser = argparse.ArgumentParser() parser.add_argument("square", type=int, help="display the square of a given number") parser.add_argument("-v", "--verbosity", action="count", help="increase output verbosity") args = parser.parse_args() answer = args.square**2 if args.verbosity == 2: print(f"the square of {args.square} equals {answer}") elif args.verbosity == 1: print(f"{args.square}^2 == {answer}") else: print(answer) We have introduced another action, "count", to count the number of occurrences of specific options. .. code-block:: shell-session $ python prog.py 4 16 $ python prog.py 4 -v 4^2 == 16 $ python prog.py 4 -vv the square of 4 equals 16 $ python prog.py 4 --verbosity --verbosity the square of 4 equals 16 $ python prog.py 4 -v 1 usage: prog.py [-h] [-v] square prog.py: error: unrecognized arguments: 1 $ python prog.py 4 -h usage: prog.py [-h] [-v] square positional arguments: square display a square of a given number options: -h, --help show this help message and exit -v, --verbosity increase output verbosity $ python prog.py 4 -vvv 16 * Yes, it's now more of a flag (similar to ``action="store_true"``) in the previous version of our script. That should explain the complaint. * It also behaves similar to "store_true" action. * Now here's a demonstration of what the "count" action gives. You've probably seen this sort of usage before. * And if you don't specify the ``-v`` flag, that flag is considered to have ``None`` value. * As should be expected, specifying the long form of the flag, we should get the same output. * Sadly, our help output isn't very informative on the new ability our script has acquired, but that can always be fixed by improving the documentation for our script (e.g. via the ``help`` keyword argument). * That last output exposes a bug in our program. Let's fix:: import argparse parser = argparse.ArgumentParser() parser.add_argument("square", type=int, help="display a square of a given number") parser.add_argument("-v", "--verbosity", action="count", help="increase output verbosity") args = parser.parse_args() answer = args.square**2 # bugfix: replace == with >= if args.verbosity >= 2: print(f"the square of {args.square} equals {answer}") elif args.verbosity >= 1: print(f"{args.square}^2 == {answer}") else: print(answer) And this is what it gives: .. code-block:: shell-session $ python prog.py 4 -vvv the square of 4 equals 16 $ python prog.py 4 -vvvv the square of 4 equals 16 $ python prog.py 4 Traceback (most recent call last): File "prog.py", line 11, in if args.verbosity >= 2: TypeError: '>=' not supported between instances of 'NoneType' and 'int' * First output went well, and fixes the bug we had before. That is, we want any value >= 2 to be as verbose as possible. * Third output not so good. Let's fix that bug:: import argparse parser = argparse.ArgumentParser() parser.add_argument("square", type=int, help="display a square of a given number") parser.add_argument("-v", "--verbosity", action="count", default=0, help="increase output verbosity") args = parser.parse_args() answer = args.square**2 if args.verbosity >= 2: print(f"the square of {args.square} equals {answer}") elif args.verbosity >= 1: print(f"{args.square}^2 == {answer}") else: print(answer) We've just introduced yet another keyword, ``default``. We've set it to ``0`` in order to make it comparable to the other int values. Remember that by default, if an optional argument isn't specified, it gets the ``None`` value, and that cannot be compared to an int value (hence the :exc:`TypeError` exception). And: .. code-block:: shell-session $ python prog.py 4 16 You can go quite far just with what we've learned so far, and we have only scratched the surface. The :mod:`argparse` module is very powerful, and we'll explore a bit more of it before we end this tutorial. Getting a little more advanced ============================== What if we wanted to expand our tiny program to perform other powers, not just squares:: import argparse parser = argparse.ArgumentParser() parser.add_argument("x", type=int, help="the base") parser.add_argument("y", type=int, help="the exponent") parser.add_argument("-v", "--verbosity", action="count", default=0) args = parser.parse_args() answer = args.x**args.y if args.verbosity >= 2: print(f"{args.x} to the power {args.y} equals {answer}") elif args.verbosity >= 1: print(f"{args.x}^{args.y} == {answer}") else: print(answer) Output: .. code-block:: shell-session $ python prog.py usage: prog.py [-h] [-v] x y prog.py: error: the following arguments are required: x, y $ python prog.py -h usage: prog.py [-h] [-v] x y positional arguments: x the base y the exponent options: -h, --help show this help message and exit -v, --verbosity $ python prog.py 4 2 -v 4^2 == 16 Notice that so far we've been using verbosity level to *change* the text that gets displayed. The following example instead uses verbosity level to display *more* text instead:: import argparse parser = argparse.ArgumentParser() parser.add_argument("x", type=int, help="the base") parser.add_argument("y", type=int, help="the exponent") parser.add_argument("-v", "--verbosity", action="count", default=0) args = parser.parse_args() answer = args.x**args.y if args.verbosity >= 2: print(f"Running '{__file__}'") if args.verbosity >= 1: print(f"{args.x}^{args.y} == ", end="") print(answer) Output: .. code-block:: shell-session $ python prog.py 4 2 16 $ python prog.py 4 2 -v 4^2 == 16 $ python prog.py 4 2 -vv Running 'prog.py' 4^2 == 16 .. _specifying-ambiguous-arguments: Specifying ambiguous arguments ------------------------------ When there is ambiguity in deciding whether an argument is positional or for an argument, ``--`` can be used to tell :meth:`~ArgumentParser.parse_args` that everything after that is a positional argument:: >>> parser = argparse.ArgumentParser(prog='PROG') >>> parser.add_argument('-n', nargs='+') >>> parser.add_argument('args', nargs='*') >>> # ambiguous, so parse_args assumes it's an option >>> parser.parse_args(['-f']) usage: PROG [-h] [-n N [N ...]] [args ...] PROG: error: unrecognized arguments: -f >>> parser.parse_args(['--', '-f']) Namespace(args=['-f'], n=None) >>> # ambiguous, so the -n option greedily accepts arguments >>> parser.parse_args(['-n', '1', '2', '3']) Namespace(args=[], n=['1', '2', '3']) >>> parser.parse_args(['-n', '1', '--', '2', '3']) Namespace(args=['2', '3'], n=['1']) Conflicting options ------------------- So far, we have been working with two methods of an :class:`argparse.ArgumentParser` instance. Let's introduce a third one, :meth:`~ArgumentParser.add_mutually_exclusive_group`. It allows for us to specify options that conflict with each other. Let's also change the rest of the program so that the new functionality makes more sense: we'll introduce the ``--quiet`` option, which will be the opposite of the ``--verbose`` one:: import argparse parser = argparse.ArgumentParser() group = parser.add_mutually_exclusive_group() group.add_argument("-v", "--verbose", action="store_true") group.add_argument("-q", "--quiet", action="store_true") parser.add_argument("x", type=int, help="the base") parser.add_argument("y", type=int, help="the exponent") args = parser.parse_args() answer = args.x**args.y if args.quiet: print(answer) elif args.verbose: print(f"{args.x} to the power {args.y} equals {answer}") else: print(f"{args.x}^{args.y} == {answer}") Our program is now simpler, and we've lost some functionality for the sake of demonstration. Anyways, here's the output: .. code-block:: shell-session $ python prog.py 4 2 4^2 == 16 $ python prog.py 4 2 -q 16 $ python prog.py 4 2 -v 4 to the power 2 equals 16 $ python prog.py 4 2 -vq usage: prog.py [-h] [-v | -q] x y prog.py: error: argument -q/--quiet: not allowed with argument -v/--verbose $ python prog.py 4 2 -v --quiet usage: prog.py [-h] [-v | -q] x y prog.py: error: argument -q/--quiet: not allowed with argument -v/--verbose That should be easy to follow. I've added that last output so you can see the sort of flexibility you get, i.e. mixing long form options with short form ones. Before we conclude, you probably want to tell your users the main purpose of your program, just in case they don't know:: import argparse parser = argparse.ArgumentParser(description="calculate X to the power of Y") group = parser.add_mutually_exclusive_group() group.add_argument("-v", "--verbose", action="store_true") group.add_argument("-q", "--quiet", action="store_true") parser.add_argument("x", type=int, help="the base") parser.add_argument("y", type=int, help="the exponent") args = parser.parse_args() answer = args.x**args.y if args.quiet: print(answer) elif args.verbose: print(f"{args.x} to the power {args.y} equals {answer}") else: print(f"{args.x}^{args.y} == {answer}") Note that slight difference in the usage text. Note the ``[-v | -q]``, which tells us that we can either use ``-v`` or ``-q``, but not both at the same time: .. code-block:: shell-session $ python prog.py --help usage: prog.py [-h] [-v | -q] x y calculate X to the power of Y positional arguments: x the base y the exponent options: -h, --help show this help message and exit -v, --verbose -q, --quiet How to translate the argparse output ==================================== The output of the :mod:`argparse` module such as its help text and error messages are all made translatable using the :mod:`gettext` module. This allows applications to easily localize messages produced by :mod:`argparse`. See also :ref:`i18n-howto`. For instance, in this :mod:`argparse` output: .. code-block:: shell-session $ python prog.py --help usage: prog.py [-h] [-v | -q] x y calculate X to the power of Y positional arguments: x the base y the exponent options: -h, --help show this help message and exit -v, --verbose -q, --quiet The strings ``usage:``, ``positional arguments:``, ``options:`` and ``show this help message and exit`` are all translatable. In order to translate these strings, they must first be extracted into a ``.po`` file. For example, using `Babel `__, run this command: .. code-block:: shell-session $ pybabel extract -o messages.po /usr/lib/python3.12/argparse.py This command will extract all translatable strings from the :mod:`argparse` module and output them into a file named ``messages.po``. This command assumes that your Python installation is in ``/usr/lib``. You can find out the location of the :mod:`argparse` module on your system using this script:: import argparse print(argparse.__file__) Once the messages in the ``.po`` file are translated and the translations are installed using :mod:`gettext`, :mod:`argparse` will be able to display the translated messages. To translate your own strings in the :mod:`argparse` output, use :mod:`gettext`. Conclusion ========== The :mod:`argparse` module offers a lot more than shown here. Its docs are quite detailed and thorough, and full of examples. Having gone through this tutorial, you should easily digest them without feeling overwhelmed. pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/data/Doc/howto/clinic.rst000066400000000000000000000005271514162565100322210ustar00rootroot00000000000000:orphan: .. This page is retained solely for existing links to /howto/clinic.html. Direct readers to the devguide. ********************** Argument Clinic How-To ********************** .. note:: The Argument Clinic How-TO has been moved to the `Python Developer's Guide `__. pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/data/Doc/howto/cporting.rst000066400000000000000000000017561514162565100326120ustar00rootroot00000000000000.. highlight:: c .. _cporting-howto: ************************************* Porting Extension Modules to Python 3 ************************************* We recommend the following resources for porting extension modules to Python 3: * The `Migrating C extensions`_ chapter from *Supporting Python 3: An in-depth guide*, a book on moving from Python 2 to Python 3 in general, guides the reader through porting an extension module. * The `Porting guide`_ from the *py3c* project provides opinionated suggestions with supporting code. * The `Cython`_ and `CFFI`_ libraries offer abstractions over Python's C API. Extensions generally need to be re-written to use one of them, but the library then handles differences between various Python versions and implementations. .. _Migrating C extensions: http://python3porting.com/cextensions.html .. _Porting guide: https://py3c.readthedocs.io/en/latest/guide.html .. _Cython: https://cython.org/ .. _CFFI: https://cffi.readthedocs.io/en/latest/ pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/data/Doc/howto/curses.rst000066400000000000000000000611711514162565100322660ustar00rootroot00000000000000.. _curses-howto: ********************************** Curses Programming with Python ********************************** .. currentmodule:: curses :Author: A.M. Kuchling, Eric S. Raymond :Release: 2.04 .. topic:: Abstract This document describes how to use the :mod:`curses` extension module to control text-mode displays. What is curses? =============== The curses library supplies a terminal-independent screen-painting and keyboard-handling facility for text-based terminals; such terminals include VT100s, the Linux console, and the simulated terminal provided by various programs. Display terminals support various control codes to perform common operations such as moving the cursor, scrolling the screen, and erasing areas. Different terminals use widely differing codes, and often have their own minor quirks. In a world of graphical displays, one might ask "why bother"? It's true that character-cell display terminals are an obsolete technology, but there are niches in which being able to do fancy things with them are still valuable. One niche is on small-footprint or embedded Unixes that don't run an X server. Another is tools such as OS installers and kernel configurators that may have to run before any graphical support is available. The curses library provides fairly basic functionality, providing the programmer with an abstraction of a display containing multiple non-overlapping windows of text. The contents of a window can be changed in various ways---adding text, erasing it, changing its appearance---and the curses library will figure out what control codes need to be sent to the terminal to produce the right output. curses doesn't provide many user-interface concepts such as buttons, checkboxes, or dialogs; if you need such features, consider a user interface library such as :pypi:`Urwid`. The curses library was originally written for BSD Unix; the later System V versions of Unix from AT&T added many enhancements and new functions. BSD curses is no longer maintained, having been replaced by ncurses, which is an open-source implementation of the AT&T interface. If you're using an open-source Unix such as Linux or FreeBSD, your system almost certainly uses ncurses. Since most current commercial Unix versions are based on System V code, all the functions described here will probably be available. The older versions of curses carried by some proprietary Unixes may not support everything, though. The Windows version of Python doesn't include the :mod:`curses` module. A ported version called :pypi:`UniCurses` is available. The Python curses module ------------------------ The Python module is a fairly simple wrapper over the C functions provided by curses; if you're already familiar with curses programming in C, it's really easy to transfer that knowledge to Python. The biggest difference is that the Python interface makes things simpler by merging different C functions such as :c:func:`!addstr`, :c:func:`!mvaddstr`, and :c:func:`!mvwaddstr` into a single :meth:`~curses.window.addstr` method. You'll see this covered in more detail later. This HOWTO is an introduction to writing text-mode programs with curses and Python. It doesn't attempt to be a complete guide to the curses API; for that, see the Python library guide's section on ncurses, and the C manual pages for ncurses. It will, however, give you the basic ideas. Starting and ending a curses application ======================================== Before doing anything, curses must be initialized. This is done by calling the :func:`~curses.initscr` function, which will determine the terminal type, send any required setup codes to the terminal, and create various internal data structures. If successful, :func:`!initscr` returns a window object representing the entire screen; this is usually called ``stdscr`` after the name of the corresponding C variable. :: import curses stdscr = curses.initscr() Usually curses applications turn off automatic echoing of keys to the screen, in order to be able to read keys and only display them under certain circumstances. This requires calling the :func:`~curses.noecho` function. :: curses.noecho() Applications will also commonly need to react to keys instantly, without requiring the Enter key to be pressed; this is called cbreak mode, as opposed to the usual buffered input mode. :: curses.cbreak() Terminals usually return special keys, such as the cursor keys or navigation keys such as Page Up and Home, as a multibyte escape sequence. While you could write your application to expect such sequences and process them accordingly, curses can do it for you, returning a special value such as :const:`curses.KEY_LEFT`. To get curses to do the job, you'll have to enable keypad mode. :: stdscr.keypad(True) Terminating a curses application is much easier than starting one. You'll need to call:: curses.nocbreak() stdscr.keypad(False) curses.echo() to reverse the curses-friendly terminal settings. Then call the :func:`~curses.endwin` function to restore the terminal to its original operating mode. :: curses.endwin() A common problem when debugging a curses application is to get your terminal messed up when the application dies without restoring the terminal to its previous state. In Python this commonly happens when your code is buggy and raises an uncaught exception. Keys are no longer echoed to the screen when you type them, for example, which makes using the shell difficult. In Python you can avoid these complications and make debugging much easier by importing the :func:`curses.wrapper` function and using it like this:: from curses import wrapper def main(stdscr): # Clear screen stdscr.clear() # This raises ZeroDivisionError when i == 10. for i in range(0, 11): v = i-10 stdscr.addstr(i, 0, '10 divided by {} is {}'.format(v, 10/v)) stdscr.refresh() stdscr.getkey() wrapper(main) The :func:`~curses.wrapper` function takes a callable object and does the initializations described above, also initializing colors if color support is present. :func:`!wrapper` then runs your provided callable. Once the callable returns, :func:`!wrapper` will restore the original state of the terminal. The callable is called inside a :keyword:`try`...\ :keyword:`except` that catches exceptions, restores the state of the terminal, and then re-raises the exception. Therefore your terminal won't be left in a funny state on exception and you'll be able to read the exception's message and traceback. Windows and Pads ================ Windows are the basic abstraction in curses. A window object represents a rectangular area of the screen, and supports methods to display text, erase it, allow the user to input strings, and so forth. The ``stdscr`` object returned by the :func:`~curses.initscr` function is a window object that covers the entire screen. Many programs may need only this single window, but you might wish to divide the screen into smaller windows, in order to redraw or clear them separately. The :func:`~curses.newwin` function creates a new window of a given size, returning the new window object. :: begin_x = 20; begin_y = 7 height = 5; width = 40 win = curses.newwin(height, width, begin_y, begin_x) Note that the coordinate system used in curses is unusual. Coordinates are always passed in the order *y,x*, and the top-left corner of a window is coordinate (0,0). This breaks the normal convention for handling coordinates where the *x* coordinate comes first. This is an unfortunate difference from most other computer applications, but it's been part of curses since it was first written, and it's too late to change things now. Your application can determine the size of the screen by using the :data:`curses.LINES` and :data:`curses.COLS` variables to obtain the *y* and *x* sizes. Legal coordinates will then extend from ``(0,0)`` to ``(curses.LINES - 1, curses.COLS - 1)``. When you call a method to display or erase text, the effect doesn't immediately show up on the display. Instead you must call the :meth:`~curses.window.refresh` method of window objects to update the screen. This is because curses was originally written with slow 300-baud terminal connections in mind; with these terminals, minimizing the time required to redraw the screen was very important. Instead curses accumulates changes to the screen and displays them in the most efficient manner when you call :meth:`!refresh`. For example, if your program displays some text in a window and then clears the window, there's no need to send the original text because they're never visible. In practice, explicitly telling curses to redraw a window doesn't really complicate programming with curses much. Most programs go into a flurry of activity, and then pause waiting for a keypress or some other action on the part of the user. All you have to do is to be sure that the screen has been redrawn before pausing to wait for user input, by first calling :meth:`!stdscr.refresh` or the :meth:`!refresh` method of some other relevant window. A pad is a special case of a window; it can be larger than the actual display screen, and only a portion of the pad displayed at a time. Creating a pad requires the pad's height and width, while refreshing a pad requires giving the coordinates of the on-screen area where a subsection of the pad will be displayed. :: pad = curses.newpad(100, 100) # These loops fill the pad with letters; addch() is # explained in the next section for y in range(0, 99): for x in range(0, 99): pad.addch(y,x, ord('a') + (x*x+y*y) % 26) # Displays a section of the pad in the middle of the screen. # (0,0) : coordinate of upper-left corner of pad area to display. # (5,5) : coordinate of upper-left corner of window area to be filled # with pad content. # (20, 75) : coordinate of lower-right corner of window area to be # : filled with pad content. pad.refresh( 0,0, 5,5, 20,75) The :meth:`!refresh` call displays a section of the pad in the rectangle extending from coordinate (5,5) to coordinate (20,75) on the screen; the upper left corner of the displayed section is coordinate (0,0) on the pad. Beyond that difference, pads are exactly like ordinary windows and support the same methods. If you have multiple windows and pads on screen there is a more efficient way to update the screen and prevent annoying screen flicker as each part of the screen gets updated. :meth:`!refresh` actually does two things: 1) Calls the :meth:`~curses.window.noutrefresh` method of each window to update an underlying data structure representing the desired state of the screen. 2) Calls the function :func:`~curses.doupdate` function to change the physical screen to match the desired state recorded in the data structure. Instead you can call :meth:`!noutrefresh` on a number of windows to update the data structure, and then call :func:`!doupdate` to update the screen. Displaying Text =============== From a C programmer's point of view, curses may sometimes look like a twisty maze of functions, all subtly different. For example, :c:func:`!addstr` displays a string at the current cursor location in the ``stdscr`` window, while :c:func:`!mvaddstr` moves to a given y,x coordinate first before displaying the string. :c:func:`!waddstr` is just like :c:func:`!addstr`, but allows specifying a window to use instead of using ``stdscr`` by default. :c:func:`!mvwaddstr` allows specifying both a window and a coordinate. Fortunately the Python interface hides all these details. ``stdscr`` is a window object like any other, and methods such as :meth:`~curses.window.addstr` accept multiple argument forms. Usually there are four different forms. +---------------------------------+-----------------------------------------------+ | Form | Description | +=================================+===============================================+ | *str* or *ch* | Display the string *str* or character *ch* at | | | the current position | +---------------------------------+-----------------------------------------------+ | *str* or *ch*, *attr* | Display the string *str* or character *ch*, | | | using attribute *attr* at the current | | | position | +---------------------------------+-----------------------------------------------+ | *y*, *x*, *str* or *ch* | Move to position *y,x* within the window, and | | | display *str* or *ch* | +---------------------------------+-----------------------------------------------+ | *y*, *x*, *str* or *ch*, *attr* | Move to position *y,x* within the window, and | | | display *str* or *ch*, using attribute *attr* | +---------------------------------+-----------------------------------------------+ Attributes allow displaying text in highlighted forms such as boldface, underline, reverse code, or in color. They'll be explained in more detail in the next subsection. The :meth:`~curses.window.addstr` method takes a Python string or bytestring as the value to be displayed. The contents of bytestrings are sent to the terminal as-is. Strings are encoded to bytes using the value of the window's :attr:`~window.encoding` attribute; this defaults to the default system encoding as returned by :func:`locale.getencoding`. The :meth:`~curses.window.addch` methods take a character, which can be either a string of length 1, a bytestring of length 1, or an integer. Constants are provided for extension characters; these constants are integers greater than 255. For example, :const:`ACS_PLMINUS` is a +/- symbol, and :const:`ACS_ULCORNER` is the upper left corner of a box (handy for drawing borders). You can also use the appropriate Unicode character. Windows remember where the cursor was left after the last operation, so if you leave out the *y,x* coordinates, the string or character will be displayed wherever the last operation left off. You can also move the cursor with the ``move(y,x)`` method. Because some terminals always display a flashing cursor, you may want to ensure that the cursor is positioned in some location where it won't be distracting; it can be confusing to have the cursor blinking at some apparently random location. If your application doesn't need a blinking cursor at all, you can call ``curs_set(False)`` to make it invisible. For compatibility with older curses versions, there's a ``leaveok(bool)`` function that's a synonym for :func:`~curses.curs_set`. When *bool* is true, the curses library will attempt to suppress the flashing cursor, and you won't need to worry about leaving it in odd locations. Attributes and Color -------------------- Characters can be displayed in different ways. Status lines in a text-based application are commonly shown in reverse video, or a text viewer may need to highlight certain words. curses supports this by allowing you to specify an attribute for each cell on the screen. An attribute is an integer, each bit representing a different attribute. You can try to display text with multiple attribute bits set, but curses doesn't guarantee that all the possible combinations are available, or that they're all visually distinct. That depends on the ability of the terminal being used, so it's safest to stick to the most commonly available attributes, listed here. +----------------------+--------------------------------------+ | Attribute | Description | +======================+======================================+ | :const:`A_BLINK` | Blinking text | +----------------------+--------------------------------------+ | :const:`A_BOLD` | Extra bright or bold text | +----------------------+--------------------------------------+ | :const:`A_DIM` | Half bright text | +----------------------+--------------------------------------+ | :const:`A_REVERSE` | Reverse-video text | +----------------------+--------------------------------------+ | :const:`A_STANDOUT` | The best highlighting mode available | +----------------------+--------------------------------------+ | :const:`A_UNDERLINE` | Underlined text | +----------------------+--------------------------------------+ So, to display a reverse-video status line on the top line of the screen, you could code:: stdscr.addstr(0, 0, "Current mode: Typing mode", curses.A_REVERSE) stdscr.refresh() The curses library also supports color on those terminals that provide it. The most common such terminal is probably the Linux console, followed by color xterms. To use color, you must call the :func:`~curses.start_color` function soon after calling :func:`~curses.initscr`, to initialize the default color set (the :func:`curses.wrapper` function does this automatically). Once that's done, the :func:`~curses.has_colors` function returns TRUE if the terminal in use can actually display color. (Note: curses uses the American spelling 'color', instead of the Canadian/British spelling 'colour'. If you're used to the British spelling, you'll have to resign yourself to misspelling it for the sake of these functions.) The curses library maintains a finite number of color pairs, containing a foreground (or text) color and a background color. You can get the attribute value corresponding to a color pair with the :func:`~curses.color_pair` function; this can be bitwise-OR'ed with other attributes such as :const:`A_REVERSE`, but again, such combinations are not guaranteed to work on all terminals. An example, which displays a line of text using color pair 1:: stdscr.addstr("Pretty text", curses.color_pair(1)) stdscr.refresh() As I said before, a color pair consists of a foreground and background color. The ``init_pair(n, f, b)`` function changes the definition of color pair *n*, to foreground color f and background color b. Color pair 0 is hard-wired to white on black, and cannot be changed. Colors are numbered, and :func:`start_color` initializes 8 basic colors when it activates color mode. They are: 0:black, 1:red, 2:green, 3:yellow, 4:blue, 5:magenta, 6:cyan, and 7:white. The :mod:`curses` module defines named constants for each of these colors: :const:`curses.COLOR_BLACK`, :const:`curses.COLOR_RED`, and so forth. Let's put all this together. To change color 1 to red text on a white background, you would call:: curses.init_pair(1, curses.COLOR_RED, curses.COLOR_WHITE) When you change a color pair, any text already displayed using that color pair will change to the new colors. You can also display new text in this color with:: stdscr.addstr(0,0, "RED ALERT!", curses.color_pair(1)) Very fancy terminals can change the definitions of the actual colors to a given RGB value. This lets you change color 1, which is usually red, to purple or blue or any other color you like. Unfortunately, the Linux console doesn't support this, so I'm unable to try it out, and can't provide any examples. You can check if your terminal can do this by calling :func:`~curses.can_change_color`, which returns ``True`` if the capability is there. If you're lucky enough to have such a talented terminal, consult your system's man pages for more information. User Input ========== The C curses library offers only very simple input mechanisms. Python's :mod:`curses` module adds a basic text-input widget. (Other libraries such as :pypi:`Urwid` have more extensive collections of widgets.) There are two methods for getting input from a window: * :meth:`~curses.window.getch` refreshes the screen and then waits for the user to hit a key, displaying the key if :func:`~curses.echo` has been called earlier. You can optionally specify a coordinate to which the cursor should be moved before pausing. * :meth:`~curses.window.getkey` does the same thing but converts the integer to a string. Individual characters are returned as 1-character strings, and special keys such as function keys return longer strings containing a key name such as ``KEY_UP`` or ``^G``. It's possible to not wait for the user using the :meth:`~curses.window.nodelay` window method. After ``nodelay(True)``, :meth:`!getch` and :meth:`!getkey` for the window become non-blocking. To signal that no input is ready, :meth:`!getch` returns ``curses.ERR`` (a value of -1) and :meth:`!getkey` raises an exception. There's also a :func:`~curses.halfdelay` function, which can be used to (in effect) set a timer on each :meth:`!getch`; if no input becomes available within a specified delay (measured in tenths of a second), curses raises an exception. The :meth:`!getch` method returns an integer; if it's between 0 and 255, it represents the ASCII code of the key pressed. Values greater than 255 are special keys such as Page Up, Home, or the cursor keys. You can compare the value returned to constants such as :const:`curses.KEY_PPAGE`, :const:`curses.KEY_HOME`, or :const:`curses.KEY_LEFT`. The main loop of your program may look something like this:: while True: c = stdscr.getch() if c == ord('p'): PrintDocument() elif c == ord('q'): break # Exit the while loop elif c == curses.KEY_HOME: x = y = 0 The :mod:`curses.ascii` module supplies ASCII class membership functions that take either integer or 1-character string arguments; these may be useful in writing more readable tests for such loops. It also supplies conversion functions that take either integer or 1-character-string arguments and return the same type. For example, :func:`curses.ascii.ctrl` returns the control character corresponding to its argument. There's also a method to retrieve an entire string, :meth:`~curses.window.getstr`. It isn't used very often, because its functionality is quite limited; the only editing keys available are the backspace key and the Enter key, which terminates the string. It can optionally be limited to a fixed number of characters. :: curses.echo() # Enable echoing of characters # Get a 15-character string, with the cursor on the top line s = stdscr.getstr(0,0, 15) The :mod:`curses.textpad` module supplies a text box that supports an Emacs-like set of keybindings. Various methods of the :class:`~curses.textpad.Textbox` class support editing with input validation and gathering the edit results either with or without trailing spaces. Here's an example:: import curses from curses.textpad import Textbox, rectangle def main(stdscr): stdscr.addstr(0, 0, "Enter IM message: (hit Ctrl-G to send)") editwin = curses.newwin(5,30, 2,1) rectangle(stdscr, 1,0, 1+5+1, 1+30+1) stdscr.refresh() box = Textbox(editwin) # Let the user edit until Ctrl-G is struck. box.edit() # Get resulting contents message = box.gather() See the library documentation on :mod:`curses.textpad` for more details. For More Information ==================== This HOWTO doesn't cover some advanced topics, such as reading the contents of the screen or capturing mouse events from an xterm instance, but the Python library page for the :mod:`curses` module is now reasonably complete. You should browse it next. If you're in doubt about the detailed behavior of the curses functions, consult the manual pages for your curses implementation, whether it's ncurses or a proprietary Unix vendor's. The manual pages will document any quirks, and provide complete lists of all the functions, attributes, and :ref:`ACS_\* ` characters available to you. Because the curses API is so large, some functions aren't supported in the Python interface. Often this isn't because they're difficult to implement, but because no one has needed them yet. Also, Python doesn't yet support the menu library associated with ncurses. Patches adding support for these would be welcome; see `the Python Developer's Guide `_ to learn more about submitting patches to Python. * `Writing Programs with NCURSES `_: a lengthy tutorial for C programmers. * `The ncurses man page `_ * `The ncurses FAQ `_ * `"Use curses... don't swear" `_: video of a PyCon 2013 talk on controlling terminals using curses or Urwid. * `"Console Applications with Urwid" `_: video of a PyCon CA 2012 talk demonstrating some applications written using Urwid. pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/data/Doc/howto/descriptor.rst000066400000000000000000001530001514162565100331310ustar00rootroot00000000000000.. _descriptorhowto: ================ Descriptor Guide ================ :Author: Raymond Hettinger :Contact: .. Contents:: :term:`Descriptors ` let objects customize attribute lookup, storage, and deletion. This guide has four major sections: 1) The "primer" gives a basic overview, moving gently from simple examples, adding one feature at a time. Start here if you're new to descriptors. 2) The second section shows a complete, practical descriptor example. If you already know the basics, start there. 3) The third section provides a more technical tutorial that goes into the detailed mechanics of how descriptors work. Most people don't need this level of detail. 4) The last section has pure Python equivalents for built-in descriptors that are written in C. Read this if you're curious about how functions turn into bound methods or about the implementation of common tools like :func:`classmethod`, :func:`staticmethod`, :func:`property`, and :term:`__slots__`. Primer ^^^^^^ In this primer, we start with the most basic possible example and then we'll add new capabilities one by one. Simple example: A descriptor that returns a constant ---------------------------------------------------- The :class:`Ten` class is a descriptor whose :meth:`__get__` method always returns the constant ``10``: .. testcode:: class Ten: def __get__(self, obj, objtype=None): return 10 To use the descriptor, it must be stored as a class variable in another class: .. testcode:: class A: x = 5 # Regular class attribute y = Ten() # Descriptor instance An interactive session shows the difference between normal attribute lookup and descriptor lookup: .. doctest:: >>> a = A() # Make an instance of class A >>> a.x # Normal attribute lookup 5 >>> a.y # Descriptor lookup 10 In the ``a.x`` attribute lookup, the dot operator finds ``'x': 5`` in the class dictionary. In the ``a.y`` lookup, the dot operator finds a descriptor instance, recognized by its ``__get__`` method. Calling that method returns ``10``. Note that the value ``10`` is not stored in either the class dictionary or the instance dictionary. Instead, the value ``10`` is computed on demand. This example shows how a simple descriptor works, but it isn't very useful. For retrieving constants, normal attribute lookup would be better. In the next section, we'll create something more useful, a dynamic lookup. Dynamic lookups --------------- Interesting descriptors typically run computations instead of returning constants: .. testcode:: import os class DirectorySize: def __get__(self, obj, objtype=None): return len(os.listdir(obj.dirname)) class Directory: size = DirectorySize() # Descriptor instance def __init__(self, dirname): self.dirname = dirname # Regular instance attribute An interactive session shows that the lookup is dynamic — it computes different, updated answers each time:: >>> s = Directory('songs') >>> g = Directory('games') >>> s.size # The songs directory has twenty files 20 >>> g.size # The games directory has three files 3 >>> os.remove('games/chess') # Delete a game >>> g.size # File count is automatically updated 2 Besides showing how descriptors can run computations, this example also reveals the purpose of the parameters to :meth:`__get__`. The *self* parameter is *size*, an instance of *DirectorySize*. The *obj* parameter is either *g* or *s*, an instance of *Directory*. It is the *obj* parameter that lets the :meth:`__get__` method learn the target directory. The *objtype* parameter is the class *Directory*. Managed attributes ------------------ A popular use for descriptors is managing access to instance data. The descriptor is assigned to a public attribute in the class dictionary while the actual data is stored as a private attribute in the instance dictionary. The descriptor's :meth:`__get__` and :meth:`__set__` methods are triggered when the public attribute is accessed. In the following example, *age* is the public attribute and *_age* is the private attribute. When the public attribute is accessed, the descriptor logs the lookup or update: .. testcode:: import logging logging.basicConfig(level=logging.INFO) class LoggedAgeAccess: def __get__(self, obj, objtype=None): value = obj._age logging.info('Accessing %r giving %r', 'age', value) return value def __set__(self, obj, value): logging.info('Updating %r to %r', 'age', value) obj._age = value class Person: age = LoggedAgeAccess() # Descriptor instance def __init__(self, name, age): self.name = name # Regular instance attribute self.age = age # Calls __set__() def birthday(self): self.age += 1 # Calls both __get__() and __set__() An interactive session shows that all access to the managed attribute *age* is logged, but that the regular attribute *name* is not logged: .. testcode:: :hide: import logging, sys logging.basicConfig(level=logging.INFO, stream=sys.stdout, force=True) .. doctest:: >>> mary = Person('Mary M', 30) # The initial age update is logged INFO:root:Updating 'age' to 30 >>> dave = Person('David D', 40) INFO:root:Updating 'age' to 40 >>> vars(mary) # The actual data is in a private attribute {'name': 'Mary M', '_age': 30} >>> vars(dave) {'name': 'David D', '_age': 40} >>> mary.age # Access the data and log the lookup INFO:root:Accessing 'age' giving 30 30 >>> mary.birthday() # Updates are logged as well INFO:root:Accessing 'age' giving 30 INFO:root:Updating 'age' to 31 >>> dave.name # Regular attribute lookup isn't logged 'David D' >>> dave.age # Only the managed attribute is logged INFO:root:Accessing 'age' giving 40 40 One major issue with this example is that the private name *_age* is hardwired in the *LoggedAgeAccess* class. That means that each instance can only have one logged attribute and that its name is unchangeable. In the next example, we'll fix that problem. Customized names ---------------- When a class uses descriptors, it can inform each descriptor about which variable name was used. In this example, the :class:`Person` class has two descriptor instances, *name* and *age*. When the :class:`Person` class is defined, it makes a callback to :meth:`__set_name__` in *LoggedAccess* so that the field names can be recorded, giving each descriptor its own *public_name* and *private_name*: .. testcode:: import logging logging.basicConfig(level=logging.INFO) class LoggedAccess: def __set_name__(self, owner, name): self.public_name = name self.private_name = '_' + name def __get__(self, obj, objtype=None): value = getattr(obj, self.private_name) logging.info('Accessing %r giving %r', self.public_name, value) return value def __set__(self, obj, value): logging.info('Updating %r to %r', self.public_name, value) setattr(obj, self.private_name, value) class Person: name = LoggedAccess() # First descriptor instance age = LoggedAccess() # Second descriptor instance def __init__(self, name, age): self.name = name # Calls the first descriptor self.age = age # Calls the second descriptor def birthday(self): self.age += 1 An interactive session shows that the :class:`Person` class has called :meth:`__set_name__` so that the field names would be recorded. Here we call :func:`vars` to look up the descriptor without triggering it: .. doctest:: >>> vars(vars(Person)['name']) {'public_name': 'name', 'private_name': '_name'} >>> vars(vars(Person)['age']) {'public_name': 'age', 'private_name': '_age'} The new class now logs access to both *name* and *age*: .. testcode:: :hide: import logging, sys logging.basicConfig(level=logging.INFO, stream=sys.stdout, force=True) .. doctest:: >>> pete = Person('Peter P', 10) INFO:root:Updating 'name' to 'Peter P' INFO:root:Updating 'age' to 10 >>> kate = Person('Catherine C', 20) INFO:root:Updating 'name' to 'Catherine C' INFO:root:Updating 'age' to 20 The two *Person* instances contain only the private names: .. doctest:: >>> vars(pete) {'_name': 'Peter P', '_age': 10} >>> vars(kate) {'_name': 'Catherine C', '_age': 20} Closing thoughts ---------------- A :term:`descriptor` is what we call any object that defines :meth:`__get__`, :meth:`__set__`, or :meth:`__delete__`. Optionally, descriptors can have a :meth:`__set_name__` method. This is only used in cases where a descriptor needs to know either the class where it was created or the name of class variable it was assigned to. (This method, if present, is called even if the class is not a descriptor.) Descriptors get invoked by the dot operator during attribute lookup. If a descriptor is accessed indirectly with ``vars(some_class)[descriptor_name]``, the descriptor instance is returned without invoking it. Descriptors only work when used as class variables. When put in instances, they have no effect. The main motivation for descriptors is to provide a hook allowing objects stored in class variables to control what happens during attribute lookup. Traditionally, the calling class controls what happens during lookup. Descriptors invert that relationship and allow the data being looked-up to have a say in the matter. Descriptors are used throughout the language. It is how functions turn into bound methods. Common tools like :func:`classmethod`, :func:`staticmethod`, :func:`property`, and :func:`functools.cached_property` are all implemented as descriptors. Complete Practical Example ^^^^^^^^^^^^^^^^^^^^^^^^^^ In this example, we create a practical and powerful tool for locating notoriously hard to find data corruption bugs. Validator class --------------- A validator is a descriptor for managed attribute access. Prior to storing any data, it verifies that the new value meets various type and range restrictions. If those restrictions aren't met, it raises an exception to prevent data corruption at its source. This :class:`Validator` class is both an :term:`abstract base class` and a managed attribute descriptor: .. testcode:: from abc import ABC, abstractmethod class Validator(ABC): def __set_name__(self, owner, name): self.private_name = '_' + name def __get__(self, obj, objtype=None): return getattr(obj, self.private_name) def __set__(self, obj, value): self.validate(value) setattr(obj, self.private_name, value) @abstractmethod def validate(self, value): pass Custom validators need to inherit from :class:`Validator` and must supply a :meth:`validate` method to test various restrictions as needed. Custom validators ----------------- Here are three practical data validation utilities: 1) :class:`OneOf` verifies that a value is one of a restricted set of options. 2) :class:`Number` verifies that a value is either an :class:`int` or :class:`float`. Optionally, it verifies that a value is between a given minimum or maximum. 3) :class:`String` verifies that a value is a :class:`str`. Optionally, it validates a given minimum or maximum length. It can validate a user-defined `predicate `_ as well. .. testcode:: class OneOf(Validator): def __init__(self, *options): self.options = set(options) def validate(self, value): if value not in self.options: raise ValueError( f'Expected {value!r} to be one of {self.options!r}' ) class Number(Validator): def __init__(self, minvalue=None, maxvalue=None): self.minvalue = minvalue self.maxvalue = maxvalue def validate(self, value): if not isinstance(value, (int, float)): raise TypeError(f'Expected {value!r} to be an int or float') if self.minvalue is not None and value < self.minvalue: raise ValueError( f'Expected {value!r} to be at least {self.minvalue!r}' ) if self.maxvalue is not None and value > self.maxvalue: raise ValueError( f'Expected {value!r} to be no more than {self.maxvalue!r}' ) class String(Validator): def __init__(self, minsize=None, maxsize=None, predicate=None): self.minsize = minsize self.maxsize = maxsize self.predicate = predicate def validate(self, value): if not isinstance(value, str): raise TypeError(f'Expected {value!r} to be an str') if self.minsize is not None and len(value) < self.minsize: raise ValueError( f'Expected {value!r} to be no smaller than {self.minsize!r}' ) if self.maxsize is not None and len(value) > self.maxsize: raise ValueError( f'Expected {value!r} to be no bigger than {self.maxsize!r}' ) if self.predicate is not None and not self.predicate(value): raise ValueError( f'Expected {self.predicate} to be true for {value!r}' ) Practical application --------------------- Here's how the data validators can be used in a real class: .. testcode:: class Component: name = String(minsize=3, maxsize=10, predicate=str.isupper) kind = OneOf('wood', 'metal', 'plastic') quantity = Number(minvalue=0) def __init__(self, name, kind, quantity): self.name = name self.kind = kind self.quantity = quantity The descriptors prevent invalid instances from being created: .. doctest:: >>> Component('Widget', 'metal', 5) # Blocked: 'Widget' is not all uppercase Traceback (most recent call last): ... ValueError: Expected to be true for 'Widget' >>> Component('WIDGET', 'metle', 5) # Blocked: 'metle' is misspelled Traceback (most recent call last): ... ValueError: Expected 'metle' to be one of {'metal', 'plastic', 'wood'} >>> Component('WIDGET', 'metal', -5) # Blocked: -5 is negative Traceback (most recent call last): ... ValueError: Expected -5 to be at least 0 >>> Component('WIDGET', 'metal', 'V') # Blocked: 'V' isn't a number Traceback (most recent call last): ... TypeError: Expected 'V' to be an int or float >>> c = Component('WIDGET', 'metal', 5) # Allowed: The inputs are valid Technical Tutorial ^^^^^^^^^^^^^^^^^^ What follows is a more technical tutorial for the mechanics and details of how descriptors work. Abstract -------- Defines descriptors, summarizes the protocol, and shows how descriptors are called. Provides an example showing how object relational mappings work. Learning about descriptors not only provides access to a larger toolset, it creates a deeper understanding of how Python works. Definition and introduction --------------------------- In general, a descriptor is an attribute value that has one of the methods in the descriptor protocol. Those methods are :meth:`__get__`, :meth:`__set__`, and :meth:`__delete__`. If any of those methods are defined for an attribute, it is said to be a :term:`descriptor`. The default behavior for attribute access is to get, set, or delete the attribute from an object's dictionary. For instance, ``a.x`` has a lookup chain starting with ``a.__dict__['x']``, then ``type(a).__dict__['x']``, and continuing through the method resolution order of ``type(a)``. If the looked-up value is an object defining one of the descriptor methods, then Python may override the default behavior and invoke the descriptor method instead. Where this occurs in the precedence chain depends on which descriptor methods were defined. Descriptors are a powerful, general purpose protocol. They are the mechanism behind properties, methods, static methods, class methods, and :func:`super`. They are used throughout Python itself. Descriptors simplify the underlying C code and offer a flexible set of new tools for everyday Python programs. Descriptor protocol ------------------- ``descr.__get__(self, obj, type=None)`` ``descr.__set__(self, obj, value)`` ``descr.__delete__(self, obj)`` That is all there is to it. Define any of these methods and an object is considered a descriptor and can override default behavior upon being looked up as an attribute. If an object defines :meth:`__set__` or :meth:`__delete__`, it is considered a data descriptor. Descriptors that only define :meth:`__get__` are called non-data descriptors (they are often used for methods but other uses are possible). Data and non-data descriptors differ in how overrides are calculated with respect to entries in an instance's dictionary. If an instance's dictionary has an entry with the same name as a data descriptor, the data descriptor takes precedence. If an instance's dictionary has an entry with the same name as a non-data descriptor, the dictionary entry takes precedence. To make a read-only data descriptor, define both :meth:`__get__` and :meth:`__set__` with the :meth:`__set__` raising an :exc:`AttributeError` when called. Defining the :meth:`__set__` method with an exception raising placeholder is enough to make it a data descriptor. Overview of descriptor invocation --------------------------------- A descriptor can be called directly with ``desc.__get__(obj)`` or ``desc.__get__(None, cls)``. But it is more common for a descriptor to be invoked automatically from attribute access. The expression ``obj.x`` looks up the attribute ``x`` in the chain of namespaces for ``obj``. If the search finds a descriptor outside of the instance :attr:`~object.__dict__`, its :meth:`~object.__get__` method is invoked according to the precedence rules listed below. The details of invocation depend on whether ``obj`` is an object, class, or instance of super. Invocation from an instance --------------------------- Instance lookup scans through a chain of namespaces giving data descriptors the highest priority, followed by instance variables, then non-data descriptors, then class variables, and lastly :meth:`__getattr__` if it is provided. If a descriptor is found for ``a.x``, then it is invoked with: ``desc.__get__(a, type(a))``. The logic for a dotted lookup is in :meth:`object.__getattribute__`. Here is a pure Python equivalent: .. testcode:: def find_name_in_mro(cls, name, default): "Emulate _PyType_Lookup() in Objects/typeobject.c" for base in cls.__mro__: if name in vars(base): return vars(base)[name] return default def object_getattribute(obj, name): "Emulate PyObject_GenericGetAttr() in Objects/object.c" null = object() objtype = type(obj) cls_var = find_name_in_mro(objtype, name, null) descr_get = getattr(type(cls_var), '__get__', null) if descr_get is not null: if (hasattr(type(cls_var), '__set__') or hasattr(type(cls_var), '__delete__')): return descr_get(cls_var, obj, objtype) # data descriptor if hasattr(obj, '__dict__') and name in vars(obj): return vars(obj)[name] # instance variable if descr_get is not null: return descr_get(cls_var, obj, objtype) # non-data descriptor if cls_var is not null: return cls_var # class variable raise AttributeError(name) .. testcode:: :hide: # Test the fidelity of object_getattribute() by comparing it with the # normal object.__getattribute__(). The former will be accessed by # square brackets and the latter by the dot operator. class Object: def __getitem__(obj, name): try: return object_getattribute(obj, name) except AttributeError: if not hasattr(type(obj), '__getattr__'): raise return type(obj).__getattr__(obj, name) # __getattr__ class DualOperator(Object): x = 10 def __init__(self, z): self.z = z @property def p2(self): return 2 * self.x @property def p3(self): return 3 * self.x def m5(self, y): return 5 * y def m7(self, y): return 7 * y def __getattr__(self, name): return ('getattr_hook', self, name) class DualOperatorWithSlots: __getitem__ = Object.__getitem__ __slots__ = ['z'] x = 15 def __init__(self, z): self.z = z @property def p2(self): return 2 * self.x def m5(self, y): return 5 * y def __getattr__(self, name): return ('getattr_hook', self, name) class D1: def __get__(self, obj, objtype=None): return type(self), obj, objtype class U1: x = D1() class U2(U1): pass .. doctest:: :hide: >>> a = DualOperator(11) >>> vars(a).update(p3 = '_p3', m7 = '_m7') >>> a.x == a['x'] == 10 True >>> a.z == a['z'] == 11 True >>> a.p2 == a['p2'] == 20 True >>> a.p3 == a['p3'] == 30 True >>> a.m5(100) == a.m5(100) == 500 True >>> a.m7 == a['m7'] == '_m7' True >>> a.g == a['g'] == ('getattr_hook', a, 'g') True >>> b = DualOperatorWithSlots(22) >>> b.x == b['x'] == 15 True >>> b.z == b['z'] == 22 True >>> b.p2 == b['p2'] == 30 True >>> b.m5(200) == b['m5'](200) == 1000 True >>> b.g == b['g'] == ('getattr_hook', b, 'g') True >>> u2 = U2() >>> object_getattribute(u2, 'x') == u2.x == (D1, u2, U2) True Note, there is no :meth:`__getattr__` hook in the :meth:`__getattribute__` code. That is why calling :meth:`__getattribute__` directly or with ``super().__getattribute__`` will bypass :meth:`__getattr__` entirely. Instead, it is the dot operator and the :func:`getattr` function that are responsible for invoking :meth:`__getattr__` whenever :meth:`__getattribute__` raises an :exc:`AttributeError`. Their logic is encapsulated in a helper function: .. testcode:: def getattr_hook(obj, name): "Emulate slot_tp_getattr_hook() in Objects/typeobject.c" try: return obj.__getattribute__(name) except AttributeError: if not hasattr(type(obj), '__getattr__'): raise return type(obj).__getattr__(obj, name) # __getattr__ .. doctest:: :hide: >>> class ClassWithGetAttr: ... x = 123 ... def __getattr__(self, attr): ... return attr.upper() ... >>> cw = ClassWithGetAttr() >>> cw.y = 456 >>> getattr_hook(cw, 'x') 123 >>> getattr_hook(cw, 'y') 456 >>> getattr_hook(cw, 'z') 'Z' >>> class ClassWithoutGetAttr: ... x = 123 ... >>> cwo = ClassWithoutGetAttr() >>> cwo.y = 456 >>> getattr_hook(cwo, 'x') 123 >>> getattr_hook(cwo, 'y') 456 >>> getattr_hook(cwo, 'z') Traceback (most recent call last): ... AttributeError: 'ClassWithoutGetAttr' object has no attribute 'z' Invocation from a class ----------------------- The logic for a dotted lookup such as ``A.x`` is in :meth:`type.__getattribute__`. The steps are similar to those for :meth:`object.__getattribute__` but the instance dictionary lookup is replaced by a search through the class's :term:`method resolution order`. If a descriptor is found, it is invoked with ``desc.__get__(None, A)``. The full C implementation can be found in :c:func:`!type_getattro` and :c:func:`!_PyType_Lookup` in :source:`Objects/typeobject.c`. Invocation from super --------------------- The logic for super's dotted lookup is in the :meth:`__getattribute__` method for object returned by :func:`super`. A dotted lookup such as ``super(A, obj).m`` searches ``obj.__class__.__mro__`` for the base class ``B`` immediately following ``A`` and then returns ``B.__dict__['m'].__get__(obj, A)``. If not a descriptor, ``m`` is returned unchanged. The full C implementation can be found in :c:func:`!super_getattro` in :source:`Objects/typeobject.c`. A pure Python equivalent can be found in `Guido's Tutorial `_. Summary of invocation logic --------------------------- The mechanism for descriptors is embedded in the :meth:`__getattribute__` methods for :class:`object`, :class:`type`, and :func:`super`. The important points to remember are: * Descriptors are invoked by the :meth:`__getattribute__` method. * Classes inherit this machinery from :class:`object`, :class:`type`, or :func:`super`. * Overriding :meth:`__getattribute__` prevents automatic descriptor calls because all the descriptor logic is in that method. * :meth:`object.__getattribute__` and :meth:`type.__getattribute__` make different calls to :meth:`__get__`. The first includes the instance and may include the class. The second puts in ``None`` for the instance and always includes the class. * Data descriptors always override instance dictionaries. * Non-data descriptors may be overridden by instance dictionaries. Automatic name notification --------------------------- Sometimes it is desirable for a descriptor to know what class variable name it was assigned to. When a new class is created, the :class:`type` metaclass scans the dictionary of the new class. If any of the entries are descriptors and if they define :meth:`__set_name__`, that method is called with two arguments. The *owner* is the class where the descriptor is used, and the *name* is the class variable the descriptor was assigned to. The implementation details are in :c:func:`!type_new` and :c:func:`!set_names` in :source:`Objects/typeobject.c`. Since the update logic is in :meth:`type.__new__`, notifications only take place at the time of class creation. If descriptors are added to the class afterwards, :meth:`__set_name__` will need to be called manually. ORM example ----------- The following code is a simplified skeleton showing how data descriptors could be used to implement an `object relational mapping `_. The essential idea is that the data is stored in an external database. The Python instances only hold keys to the database's tables. Descriptors take care of lookups or updates: .. testcode:: class Field: def __set_name__(self, owner, name): self.fetch = f'SELECT {name} FROM {owner.table} WHERE {owner.key}=?;' self.store = f'UPDATE {owner.table} SET {name}=? WHERE {owner.key}=?;' def __get__(self, obj, objtype=None): return conn.execute(self.fetch, [obj.key]).fetchone()[0] def __set__(self, obj, value): conn.execute(self.store, [value, obj.key]) conn.commit() We can use the :class:`Field` class to define `models `_ that describe the schema for each table in a database: .. testcode:: class Movie: table = 'Movies' # Table name key = 'title' # Primary key director = Field() year = Field() def __init__(self, key): self.key = key class Song: table = 'Music' key = 'title' artist = Field() year = Field() genre = Field() def __init__(self, key): self.key = key To use the models, first connect to the database:: >>> import sqlite3 >>> conn = sqlite3.connect('entertainment.db') An interactive session shows how data is retrieved from the database and how it can be updated: .. testsetup:: song_data = [ ('Country Roads', 'John Denver', 1972), ('Me and Bobby McGee', 'Janice Joplin', 1971), ('Coal Miners Daughter', 'Loretta Lynn', 1970), ] movie_data = [ ('Star Wars', 'George Lucas', 1977), ('Jaws', 'Steven Spielberg', 1975), ('Aliens', 'James Cameron', 1986), ] import sqlite3 conn = sqlite3.connect(':memory:') conn.execute('CREATE TABLE Music (title text, artist text, year integer);') conn.execute('CREATE INDEX MusicNdx ON Music (title);') conn.executemany('INSERT INTO Music VALUES (?, ?, ?);', song_data) conn.execute('CREATE TABLE Movies (title text, director text, year integer);') conn.execute('CREATE INDEX MovieNdx ON Music (title);') conn.executemany('INSERT INTO Movies VALUES (?, ?, ?);', movie_data) conn.commit() .. doctest:: >>> Movie('Star Wars').director 'George Lucas' >>> jaws = Movie('Jaws') >>> f'Released in {jaws.year} by {jaws.director}' 'Released in 1975 by Steven Spielberg' >>> Song('Country Roads').artist 'John Denver' >>> Movie('Star Wars').director = 'J.J. Abrams' >>> Movie('Star Wars').director 'J.J. Abrams' .. testcleanup:: conn.close() Pure Python Equivalents ^^^^^^^^^^^^^^^^^^^^^^^ The descriptor protocol is simple and offers exciting possibilities. Several use cases are so common that they have been prepackaged into built-in tools. Properties, bound methods, static methods, class methods, and \_\_slots\_\_ are all based on the descriptor protocol. Properties ---------- Calling :func:`property` is a succinct way of building a data descriptor that triggers a function call upon access to an attribute. Its signature is:: property(fget=None, fset=None, fdel=None, doc=None) -> property The documentation shows a typical use to define a managed attribute ``x``: .. testcode:: class C: def getx(self): return self.__x def setx(self, value): self.__x = value def delx(self): del self.__x x = property(getx, setx, delx, "I'm the 'x' property.") .. doctest:: :hide: >>> C.x.__doc__ "I'm the 'x' property." >>> c.x = 2.71828 >>> c.x 2.71828 >>> del c.x >>> c.x Traceback (most recent call last): ... AttributeError: 'C' object has no attribute '_C__x' To see how :func:`property` is implemented in terms of the descriptor protocol, here is a pure Python equivalent that implements most of the core functionality: .. testcode:: class Property: "Emulate PyProperty_Type() in Objects/descrobject.c" def __init__(self, fget=None, fset=None, fdel=None, doc=None): self.fget = fget self.fset = fset self.fdel = fdel if doc is None and fget is not None: doc = fget.__doc__ self.__doc__ = doc def __set_name__(self, owner, name): self.__name__ = name def __get__(self, obj, objtype=None): if obj is None: return self if self.fget is None: raise AttributeError return self.fget(obj) def __set__(self, obj, value): if self.fset is None: raise AttributeError self.fset(obj, value) def __delete__(self, obj): if self.fdel is None: raise AttributeError self.fdel(obj) def getter(self, fget): return type(self)(fget, self.fset, self.fdel, self.__doc__) def setter(self, fset): return type(self)(self.fget, fset, self.fdel, self.__doc__) def deleter(self, fdel): return type(self)(self.fget, self.fset, fdel, self.__doc__) .. testcode:: :hide: # Verify the Property() emulation class CC: def getx(self): return self.__x def setx(self, value): self.__x = value def delx(self): del self.__x x = Property(getx, setx, delx, "I'm the 'x' property.") no_getter = Property(None, setx, delx, "I'm the 'x' property.") no_setter = Property(getx, None, delx, "I'm the 'x' property.") no_deleter = Property(getx, setx, None, "I'm the 'x' property.") no_doc = Property(getx, setx, delx, None) # Now do it again but use the decorator style class CCC: @Property def x(self): return self.__x @x.setter def x(self, value): self.__x = value @x.deleter def x(self): del self.__x .. doctest:: :hide: >>> cc = CC() >>> hasattr(cc, 'x') False >>> cc.x = 33 >>> cc.x 33 >>> del cc.x >>> hasattr(cc, 'x') False >>> ccc = CCC() >>> hasattr(ccc, 'x') False >>> ccc.x = 333 >>> ccc.x == 333 True >>> del ccc.x >>> hasattr(ccc, 'x') False >>> cc = CC() >>> cc.x = 33 >>> try: ... cc.no_getter ... except AttributeError as e: ... type(e).__name__ ... 'AttributeError' >>> try: ... cc.no_setter = 33 ... except AttributeError as e: ... type(e).__name__ ... 'AttributeError' >>> try: ... del cc.no_deleter ... except AttributeError as e: ... type(e).__name__ ... 'AttributeError' >>> CC.no_doc.__doc__ is None True The :func:`property` builtin helps whenever a user interface has granted attribute access and then subsequent changes require the intervention of a method. For instance, a spreadsheet class may grant access to a cell value through ``Cell('b10').value``. Subsequent improvements to the program require the cell to be recalculated on every access; however, the programmer does not want to affect existing client code accessing the attribute directly. The solution is to wrap access to the value attribute in a property data descriptor: .. testcode:: class Cell: ... @property def value(self): "Recalculate the cell before returning value" self.recalc() return self._value Either the built-in :func:`property` or our :func:`Property` equivalent would work in this example. Functions and methods --------------------- Python's object oriented features are built upon a function based environment. Using non-data descriptors, the two are merged seamlessly. Functions stored in class dictionaries get turned into methods when invoked. Methods only differ from regular functions in that the object instance is prepended to the other arguments. By convention, the instance is called *self* but could be called *this* or any other variable name. Methods can be created manually with :class:`types.MethodType` which is roughly equivalent to: .. testcode:: class MethodType: "Emulate PyMethod_Type in Objects/classobject.c" def __init__(self, func, obj): self.__func__ = func self.__self__ = obj def __call__(self, *args, **kwargs): func = self.__func__ obj = self.__self__ return func(obj, *args, **kwargs) def __getattribute__(self, name): "Emulate method_getset() in Objects/classobject.c" if name == '__doc__': return self.__func__.__doc__ return object.__getattribute__(self, name) def __getattr__(self, name): "Emulate method_getattro() in Objects/classobject.c" return getattr(self.__func__, name) def __get__(self, obj, objtype=None): "Emulate method_descr_get() in Objects/classobject.c" return self To support automatic creation of methods, functions include the :meth:`__get__` method for binding methods during attribute access. This means that functions are non-data descriptors that return bound methods during dotted lookup from an instance. Here's how it works: .. testcode:: class Function: ... def __get__(self, obj, objtype=None): "Simulate func_descr_get() in Objects/funcobject.c" if obj is None: return self return MethodType(self, obj) Running the following class in the interpreter shows how the function descriptor works in practice: .. testcode:: class D: def f(self): return self class D2: pass .. doctest:: :hide: >>> d = D() >>> d2 = D2() >>> d2.f = d.f.__get__(d2, D2) >>> d2.f() is d True The function has a :term:`qualified name` attribute to support introspection: .. doctest:: >>> D.f.__qualname__ 'D.f' Accessing the function through the class dictionary does not invoke :meth:`__get__`. Instead, it just returns the underlying function object:: >>> D.__dict__['f'] Dotted access from a class calls :meth:`__get__` which just returns the underlying function unchanged:: >>> D.f The interesting behavior occurs during dotted access from an instance. The dotted lookup calls :meth:`__get__` which returns a bound method object:: >>> d = D() >>> d.f > Internally, the bound method stores the underlying function and the bound instance:: >>> d.f.__func__ >>> d.f.__self__ <__main__.D object at 0x00B18C90> If you have ever wondered where *self* comes from in regular methods or where *cls* comes from in class methods, this is it! Kinds of methods ---------------- Non-data descriptors provide a simple mechanism for variations on the usual patterns of binding functions into methods. To recap, functions have a :meth:`__get__` method so that they can be converted to a method when accessed as attributes. The non-data descriptor transforms an ``obj.f(*args)`` call into ``f(obj, *args)``. Calling ``cls.f(*args)`` becomes ``f(*args)``. This chart summarizes the binding and its two most useful variants: +-----------------+----------------------+------------------+ | Transformation | Called from an | Called from a | | | object | class | +=================+======================+==================+ | function | f(obj, \*args) | f(\*args) | +-----------------+----------------------+------------------+ | staticmethod | f(\*args) | f(\*args) | +-----------------+----------------------+------------------+ | classmethod | f(type(obj), \*args) | f(cls, \*args) | +-----------------+----------------------+------------------+ Static methods -------------- Static methods return the underlying function without changes. Calling either ``c.f`` or ``C.f`` is the equivalent of a direct lookup into ``object.__getattribute__(c, "f")`` or ``object.__getattribute__(C, "f")``. As a result, the function becomes identically accessible from either an object or a class. Good candidates for static methods are methods that do not reference the ``self`` variable. For instance, a statistics package may include a container class for experimental data. The class provides normal methods for computing the average, mean, median, and other descriptive statistics that depend on the data. However, there may be useful functions which are conceptually related but do not depend on the data. For instance, ``erf(x)`` is handy conversion routine that comes up in statistical work but does not directly depend on a particular dataset. It can be called either from an object or the class: ``s.erf(1.5) --> 0.9332`` or ``Sample.erf(1.5) --> 0.9332``. Since static methods return the underlying function with no changes, the example calls are unexciting: .. testcode:: class E: @staticmethod def f(x): return x * 10 .. doctest:: >>> E.f(3) 30 >>> E().f(3) 30 Using the non-data descriptor protocol, a pure Python version of :func:`staticmethod` would look like this: .. testcode:: import functools class StaticMethod: "Emulate PyStaticMethod_Type() in Objects/funcobject.c" def __init__(self, f): self.f = f functools.update_wrapper(self, f) def __get__(self, obj, objtype=None): return self.f def __call__(self, *args, **kwds): return self.f(*args, **kwds) The :func:`functools.update_wrapper` call adds a ``__wrapped__`` attribute that refers to the underlying function. Also it carries forward the attributes necessary to make the wrapper look like the wrapped function: :attr:`~function.__name__`, :attr:`~function.__qualname__`, :attr:`~function.__doc__`, and :attr:`~function.__annotations__`. .. testcode:: :hide: class E_sim: @StaticMethod def f(x: int) -> str: "Simple function example" return "!" * x wrapped_ord = StaticMethod(ord) .. doctest:: :hide: >>> E_sim.f(3) '!!!' >>> E_sim().f(3) '!!!' >>> sm = vars(E_sim)['f'] >>> type(sm).__name__ 'StaticMethod' >>> f = E_sim.f >>> type(f).__name__ 'function' >>> sm.__name__ 'f' >>> f.__name__ 'f' >>> sm.__qualname__ 'E_sim.f' >>> f.__qualname__ 'E_sim.f' >>> sm.__doc__ 'Simple function example' >>> f.__doc__ 'Simple function example' >>> sm.__annotations__ {'x': , 'return': } >>> f.__annotations__ {'x': , 'return': } >>> sm.__module__ == f.__module__ True >>> sm(3) '!!!' >>> f(3) '!!!' >>> wrapped_ord('A') 65 >>> wrapped_ord.__module__ == ord.__module__ True >>> wrapped_ord.__wrapped__ == ord True >>> wrapped_ord.__name__ == ord.__name__ True >>> wrapped_ord.__qualname__ == ord.__qualname__ True >>> wrapped_ord.__doc__ == ord.__doc__ True Class methods ------------- Unlike static methods, class methods prepend the class reference to the argument list before calling the function. This format is the same for whether the caller is an object or a class: .. testcode:: class F: @classmethod def f(cls, x): return cls.__name__, x .. doctest:: >>> F.f(3) ('F', 3) >>> F().f(3) ('F', 3) This behavior is useful whenever the method only needs to have a class reference and does not rely on data stored in a specific instance. One use for class methods is to create alternate class constructors. For example, the classmethod :func:`dict.fromkeys` creates a new dictionary from a list of keys. The pure Python equivalent is: .. testcode:: class Dict(dict): @classmethod def fromkeys(cls, iterable, value=None): "Emulate dict_fromkeys() in Objects/dictobject.c" d = cls() for key in iterable: d[key] = value return d Now a new dictionary of unique keys can be constructed like this: .. doctest:: >>> d = Dict.fromkeys('abracadabra') >>> type(d) is Dict True >>> d {'a': None, 'b': None, 'r': None, 'c': None, 'd': None} Using the non-data descriptor protocol, a pure Python version of :func:`classmethod` would look like this: .. testcode:: import functools class ClassMethod: "Emulate PyClassMethod_Type() in Objects/funcobject.c" def __init__(self, f): self.f = f functools.update_wrapper(self, f) def __get__(self, obj, cls=None): if cls is None: cls = type(obj) return MethodType(self.f, cls) .. testcode:: :hide: # Verify the emulation works class T: @ClassMethod def cm(cls, x: int, y: str) -> tuple[str, int, str]: "Class method that returns a tuple" return (cls.__name__, x, y) .. doctest:: :hide: >>> T.cm(11, 22) ('T', 11, 22) # Also call it from an instance >>> t = T() >>> t.cm(11, 22) ('T', 11, 22) # Verify that T uses our emulation >>> type(vars(T)['cm']).__name__ 'ClassMethod' # Verify that update_wrapper() correctly copied attributes >>> T.cm.__name__ 'cm' >>> T.cm.__qualname__ 'T.cm' >>> T.cm.__doc__ 'Class method that returns a tuple' >>> T.cm.__annotations__ {'x': , 'y': , 'return': tuple[str, int, str]} # Verify that __wrapped__ was added and works correctly >>> f = vars(T)['cm'].__wrapped__ >>> type(f).__name__ 'function' >>> f.__name__ 'cm' >>> f(T, 11, 22) ('T', 11, 22) The :func:`functools.update_wrapper` call in ``ClassMethod`` adds a ``__wrapped__`` attribute that refers to the underlying function. Also it carries forward the attributes necessary to make the wrapper look like the wrapped function: :attr:`~function.__name__`, :attr:`~function.__qualname__`, :attr:`~function.__doc__`, and :attr:`~function.__annotations__`. Member objects and __slots__ ---------------------------- When a class defines ``__slots__``, it replaces instance dictionaries with a fixed-length array of slot values. From a user point of view that has several effects: 1. Provides immediate detection of bugs due to misspelled attribute assignments. Only attribute names specified in ``__slots__`` are allowed: .. testcode:: class Vehicle: __slots__ = ('id_number', 'make', 'model') .. doctest:: >>> auto = Vehicle() >>> auto.id_nubmer = 'VYE483814LQEX' Traceback (most recent call last): ... AttributeError: 'Vehicle' object has no attribute 'id_nubmer' 2. Helps create immutable objects where descriptors manage access to private attributes stored in ``__slots__``: .. testcode:: class Immutable: __slots__ = ('_dept', '_name') # Replace the instance dictionary def __init__(self, dept, name): self._dept = dept # Store to private attribute self._name = name # Store to private attribute @property # Read-only descriptor def dept(self): return self._dept @property def name(self): # Read-only descriptor return self._name .. doctest:: >>> mark = Immutable('Botany', 'Mark Watney') >>> mark.dept 'Botany' >>> mark.dept = 'Space Pirate' Traceback (most recent call last): ... AttributeError: property 'dept' of 'Immutable' object has no setter >>> mark.location = 'Mars' Traceback (most recent call last): ... AttributeError: 'Immutable' object has no attribute 'location' 3. Saves memory. On a 64-bit Linux build, an instance with two attributes takes 48 bytes with ``__slots__`` and 152 bytes without. This `flyweight design pattern `_ likely only matters when a large number of instances are going to be created. 4. Improves speed. Reading instance variables is 35% faster with ``__slots__`` (as measured with Python 3.10 on an Apple M1 processor). 5. Blocks tools like :func:`functools.cached_property` which require an instance dictionary to function correctly: .. testcode:: from functools import cached_property class CP: __slots__ = () # Eliminates the instance dict @cached_property # Requires an instance dict def pi(self): return 4 * sum((-1.0)**n / (2.0*n + 1.0) for n in reversed(range(100_000))) .. doctest:: >>> CP().pi Traceback (most recent call last): ... TypeError: No '__dict__' attribute on 'CP' instance to cache 'pi' property. It is not possible to create an exact drop-in pure Python version of ``__slots__`` because it requires direct access to C structures and control over object memory allocation. However, we can build a mostly faithful simulation where the actual C structure for slots is emulated by a private ``_slotvalues`` list. Reads and writes to that private structure are managed by member descriptors: .. testcode:: null = object() class Member: def __init__(self, name, clsname, offset): 'Emulate PyMemberDef in Include/structmember.h' # Also see descr_new() in Objects/descrobject.c self.name = name self.clsname = clsname self.offset = offset def __get__(self, obj, objtype=None): 'Emulate member_get() in Objects/descrobject.c' # Also see PyMember_GetOne() in Python/structmember.c if obj is None: return self value = obj._slotvalues[self.offset] if value is null: raise AttributeError(self.name) return value def __set__(self, obj, value): 'Emulate member_set() in Objects/descrobject.c' obj._slotvalues[self.offset] = value def __delete__(self, obj): 'Emulate member_delete() in Objects/descrobject.c' value = obj._slotvalues[self.offset] if value is null: raise AttributeError(self.name) obj._slotvalues[self.offset] = null def __repr__(self): 'Emulate member_repr() in Objects/descrobject.c' return f'' The :meth:`type.__new__` method takes care of adding member objects to class variables: .. testcode:: class Type(type): 'Simulate how the type metaclass adds member objects for slots' def __new__(mcls, clsname, bases, mapping, **kwargs): 'Emulate type_new() in Objects/typeobject.c' # type_new() calls PyTypeReady() which calls add_methods() slot_names = mapping.get('slot_names', []) for offset, name in enumerate(slot_names): mapping[name] = Member(name, clsname, offset) return type.__new__(mcls, clsname, bases, mapping, **kwargs) The :meth:`object.__new__` method takes care of creating instances that have slots instead of an instance dictionary. Here is a rough simulation in pure Python: .. testcode:: class Object: 'Simulate how object.__new__() allocates memory for __slots__' def __new__(cls, *args, **kwargs): 'Emulate object_new() in Objects/typeobject.c' inst = super().__new__(cls) if hasattr(cls, 'slot_names'): empty_slots = [null] * len(cls.slot_names) object.__setattr__(inst, '_slotvalues', empty_slots) return inst def __setattr__(self, name, value): 'Emulate _PyObject_GenericSetAttrWithDict() Objects/object.c' cls = type(self) if hasattr(cls, 'slot_names') and name not in cls.slot_names: raise AttributeError( f'{cls.__name__!r} object has no attribute {name!r}' ) super().__setattr__(name, value) def __delattr__(self, name): 'Emulate _PyObject_GenericSetAttrWithDict() Objects/object.c' cls = type(self) if hasattr(cls, 'slot_names') and name not in cls.slot_names: raise AttributeError( f'{cls.__name__!r} object has no attribute {name!r}' ) super().__delattr__(name) To use the simulation in a real class, just inherit from :class:`Object` and set the :term:`metaclass` to :class:`Type`: .. testcode:: class H(Object, metaclass=Type): 'Instance variables stored in slots' slot_names = ['x', 'y'] def __init__(self, x, y): self.x = x self.y = y At this point, the metaclass has loaded member objects for *x* and *y*:: >>> from pprint import pp >>> pp(dict(vars(H))) {'__module__': '__main__', '__doc__': 'Instance variables stored in slots', 'slot_names': ['x', 'y'], '__init__': , 'x': , 'y': } .. doctest:: :hide: # We test this separately because the preceding section is not # doctestable due to the hex memory address for the __init__ function >>> isinstance(vars(H)['x'], Member) True >>> isinstance(vars(H)['y'], Member) True When instances are created, they have a ``slot_values`` list where the attributes are stored: .. doctest:: >>> h = H(10, 20) >>> vars(h) {'_slotvalues': [10, 20]} >>> h.x = 55 >>> vars(h) {'_slotvalues': [55, 20]} Misspelled or unassigned attributes will raise an exception: .. doctest:: >>> h.xz Traceback (most recent call last): ... AttributeError: 'H' object has no attribute 'xz' .. doctest:: :hide: # Examples for deleted attributes are not shown because this section # is already a bit lengthy. We still test that code here. >>> del h.x >>> hasattr(h, 'x') False # Also test the code for uninitialized slots >>> class HU(Object, metaclass=Type): ... slot_names = ['x', 'y'] ... >>> hu = HU() >>> hasattr(hu, 'x') False >>> hasattr(hu, 'y') False pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/data/Doc/howto/enum.rst000066400000000000000000001327201514162565100317250ustar00rootroot00000000000000.. _enum-howto: ========== Enum HOWTO ========== .. _enum-basic-tutorial: .. currentmodule:: enum An :class:`Enum` is a set of symbolic names bound to unique values. They are similar to global variables, but they offer a more useful :func:`repr`, grouping, type-safety, and a few other features. They are most useful when you have a variable that can take one of a limited selection of values. For example, the days of the week:: >>> from enum import Enum >>> class Weekday(Enum): ... MONDAY = 1 ... TUESDAY = 2 ... WEDNESDAY = 3 ... THURSDAY = 4 ... FRIDAY = 5 ... SATURDAY = 6 ... SUNDAY = 7 Or perhaps the RGB primary colors:: >>> from enum import Enum >>> class Color(Enum): ... RED = 1 ... GREEN = 2 ... BLUE = 3 As you can see, creating an :class:`Enum` is as simple as writing a class that inherits from :class:`Enum` itself. .. note:: Case of Enum Members Because Enums are used to represent constants, and to help avoid issues with name clashes between mixin-class methods/attributes and enum names, we strongly recommend using UPPER_CASE names for members, and will be using that style in our examples. Depending on the nature of the enum a member's value may or may not be important, but either way that value can be used to get the corresponding member:: >>> Weekday(3) As you can see, the ``repr()`` of a member shows the enum name, the member name, and the value. The ``str()`` of a member shows only the enum name and member name:: >>> print(Weekday.THURSDAY) Weekday.THURSDAY The *type* of an enumeration member is the enum it belongs to:: >>> type(Weekday.MONDAY) >>> isinstance(Weekday.FRIDAY, Weekday) True Enum members have an attribute that contains just their :attr:`name`:: >>> print(Weekday.TUESDAY.name) TUESDAY Likewise, they have an attribute for their :attr:`value`:: >>> Weekday.WEDNESDAY.value 3 Unlike many languages that treat enumerations solely as name/value pairs, Python Enums can have behavior added. For example, :class:`datetime.date` has two methods for returning the weekday: :meth:`weekday` and :meth:`isoweekday`. The difference is that one of them counts from 0-6 and the other from 1-7. Rather than keep track of that ourselves we can add a method to the :class:`Weekday` enum to extract the day from the :class:`date` instance and return the matching enum member:: @classmethod def from_date(cls, date): return cls(date.isoweekday()) The complete :class:`Weekday` enum now looks like this:: >>> class Weekday(Enum): ... MONDAY = 1 ... TUESDAY = 2 ... WEDNESDAY = 3 ... THURSDAY = 4 ... FRIDAY = 5 ... SATURDAY = 6 ... SUNDAY = 7 ... # ... @classmethod ... def from_date(cls, date): ... return cls(date.isoweekday()) Now we can find out what today is! Observe:: >>> from datetime import date >>> Weekday.from_date(date.today()) # doctest: +SKIP Of course, if you're reading this on some other day, you'll see that day instead. This :class:`Weekday` enum is great if our variable only needs one day, but what if we need several? Maybe we're writing a function to plot chores during a week, and don't want to use a :class:`list` -- we could use a different type of :class:`Enum`:: >>> from enum import Flag >>> class Weekday(Flag): ... MONDAY = 1 ... TUESDAY = 2 ... WEDNESDAY = 4 ... THURSDAY = 8 ... FRIDAY = 16 ... SATURDAY = 32 ... SUNDAY = 64 We've changed two things: we're inherited from :class:`Flag`, and the values are all powers of 2. Just like the original :class:`Weekday` enum above, we can have a single selection:: >>> first_week_day = Weekday.MONDAY >>> first_week_day But :class:`Flag` also allows us to combine several members into a single variable:: >>> weekend = Weekday.SATURDAY | Weekday.SUNDAY >>> weekend You can even iterate over a :class:`Flag` variable:: >>> for day in weekend: ... print(day) Weekday.SATURDAY Weekday.SUNDAY Okay, let's get some chores set up:: >>> chores_for_ethan = { ... 'feed the cat': Weekday.MONDAY | Weekday.WEDNESDAY | Weekday.FRIDAY, ... 'do the dishes': Weekday.TUESDAY | Weekday.THURSDAY, ... 'answer SO questions': Weekday.SATURDAY, ... } And a function to display the chores for a given day:: >>> def show_chores(chores, day): ... for chore, days in chores.items(): ... if day in days: ... print(chore) ... >>> show_chores(chores_for_ethan, Weekday.SATURDAY) answer SO questions In cases where the actual values of the members do not matter, you can save yourself some work and use :func:`auto` for the values:: >>> from enum import auto >>> class Weekday(Flag): ... MONDAY = auto() ... TUESDAY = auto() ... WEDNESDAY = auto() ... THURSDAY = auto() ... FRIDAY = auto() ... SATURDAY = auto() ... SUNDAY = auto() ... WEEKEND = SATURDAY | SUNDAY .. _enum-advanced-tutorial: Programmatic access to enumeration members and their attributes --------------------------------------------------------------- Sometimes it's useful to access members in enumerations programmatically (i.e. situations where ``Color.RED`` won't do because the exact color is not known at program-writing time). ``Enum`` allows such access:: >>> Color(1) >>> Color(3) If you want to access enum members by *name*, use item access:: >>> Color['RED'] >>> Color['GREEN'] If you have an enum member and need its :attr:`name` or :attr:`value`:: >>> member = Color.RED >>> member.name 'RED' >>> member.value 1 Duplicating enum members and values ----------------------------------- Having two enum members with the same name is invalid:: >>> class Shape(Enum): ... SQUARE = 2 ... SQUARE = 3 ... Traceback (most recent call last): ... TypeError: 'SQUARE' already defined as 2 However, an enum member can have other names associated with it. Given two entries ``A`` and ``B`` with the same value (and ``A`` defined first), ``B`` is an alias for the member ``A``. By-value lookup of the value of ``A`` will return the member ``A``. By-name lookup of ``A`` will return the member ``A``. By-name lookup of ``B`` will also return the member ``A``:: >>> class Shape(Enum): ... SQUARE = 2 ... DIAMOND = 1 ... CIRCLE = 3 ... ALIAS_FOR_SQUARE = 2 ... >>> Shape.SQUARE >>> Shape.ALIAS_FOR_SQUARE >>> Shape(2) .. note:: Attempting to create a member with the same name as an already defined attribute (another member, a method, etc.) or attempting to create an attribute with the same name as a member is not allowed. Ensuring unique enumeration values ---------------------------------- By default, enumerations allow multiple names as aliases for the same value. When this behavior isn't desired, you can use the :func:`unique` decorator:: >>> from enum import Enum, unique >>> @unique ... class Mistake(Enum): ... ONE = 1 ... TWO = 2 ... THREE = 3 ... FOUR = 3 ... Traceback (most recent call last): ... ValueError: duplicate values found in : FOUR -> THREE Using automatic values ---------------------- If the exact value is unimportant you can use :class:`auto`:: >>> from enum import Enum, auto >>> class Color(Enum): ... RED = auto() ... BLUE = auto() ... GREEN = auto() ... >>> [member.value for member in Color] [1, 2, 3] The values are chosen by :func:`_generate_next_value_`, which can be overridden:: >>> class AutoName(Enum): ... @staticmethod ... def _generate_next_value_(name, start, count, last_values): ... return name ... >>> class Ordinal(AutoName): ... NORTH = auto() ... SOUTH = auto() ... EAST = auto() ... WEST = auto() ... >>> [member.value for member in Ordinal] ['NORTH', 'SOUTH', 'EAST', 'WEST'] .. note:: The :meth:`_generate_next_value_` method must be defined before any members. Iteration --------- Iterating over the members of an enum does not provide the aliases:: >>> list(Shape) [, , ] >>> list(Weekday) [, , , , , , ] Note that the aliases ``Shape.ALIAS_FOR_SQUARE`` and ``Weekday.WEEKEND`` aren't shown. The special attribute ``__members__`` is a read-only ordered mapping of names to members. It includes all names defined in the enumeration, including the aliases:: >>> for name, member in Shape.__members__.items(): ... name, member ... ('SQUARE', ) ('DIAMOND', ) ('CIRCLE', ) ('ALIAS_FOR_SQUARE', ) The ``__members__`` attribute can be used for detailed programmatic access to the enumeration members. For example, finding all the aliases:: >>> [name for name, member in Shape.__members__.items() if member.name != name] ['ALIAS_FOR_SQUARE'] .. note:: Aliases for flags include values with multiple flags set, such as ``3``, and no flags set, i.e. ``0``. Comparisons ----------- Enumeration members are compared by identity:: >>> Color.RED is Color.RED True >>> Color.RED is Color.BLUE False >>> Color.RED is not Color.BLUE True Ordered comparisons between enumeration values are *not* supported. Enum members are not integers (but see `IntEnum`_ below):: >>> Color.RED < Color.BLUE Traceback (most recent call last): File "", line 1, in TypeError: '<' not supported between instances of 'Color' and 'Color' Equality comparisons are defined though:: >>> Color.BLUE == Color.RED False >>> Color.BLUE != Color.RED True >>> Color.BLUE == Color.BLUE True Comparisons against non-enumeration values will always compare not equal (again, :class:`IntEnum` was explicitly designed to behave differently, see below):: >>> Color.BLUE == 2 False .. warning:: It is possible to reload modules -- if a reloaded module contains enums, they will be recreated, and the new members may not compare identical/equal to the original members. Allowed members and attributes of enumerations ---------------------------------------------- Most of the examples above use integers for enumeration values. Using integers is short and handy (and provided by default by the `Functional API`_), but not strictly enforced. In the vast majority of use-cases, one doesn't care what the actual value of an enumeration is. But if the value *is* important, enumerations can have arbitrary values. Enumerations are Python classes, and can have methods and special methods as usual. If we have this enumeration:: >>> class Mood(Enum): ... FUNKY = 1 ... HAPPY = 3 ... ... def describe(self): ... # self is the member here ... return self.name, self.value ... ... def __str__(self): ... return 'my custom str! {0}'.format(self.value) ... ... @classmethod ... def favorite_mood(cls): ... # cls here is the enumeration ... return cls.HAPPY ... Then:: >>> Mood.favorite_mood() >>> Mood.HAPPY.describe() ('HAPPY', 3) >>> str(Mood.FUNKY) 'my custom str! 1' The rules for what is allowed are as follows: names that start and end with a single underscore are reserved by enum and cannot be used; all other attributes defined within an enumeration will become members of this enumeration, with the exception of special methods (:meth:`__str__`, :meth:`__add__`, etc.), descriptors (methods are also descriptors), and variable names listed in :attr:`_ignore_`. Note: if your enumeration defines :meth:`__new__` and/or :meth:`__init__`, any value(s) given to the enum member will be passed into those methods. See `Planet`_ for an example. .. note:: The :meth:`__new__` method, if defined, is used during creation of the Enum members; it is then replaced by Enum's :meth:`__new__` which is used after class creation for lookup of existing members. See :ref:`new-vs-init` for more details. Restricted Enum subclassing --------------------------- A new :class:`Enum` class must have one base enum class, up to one concrete data type, and as many :class:`object`-based mixin classes as needed. The order of these base classes is:: class EnumName([mix-in, ...,] [data-type,] base-enum): pass Also, subclassing an enumeration is allowed only if the enumeration does not define any members. So this is forbidden:: >>> class MoreColor(Color): ... PINK = 17 ... Traceback (most recent call last): ... TypeError: cannot extend But this is allowed:: >>> class Foo(Enum): ... def some_behavior(self): ... pass ... >>> class Bar(Foo): ... HAPPY = 1 ... SAD = 2 ... Allowing subclassing of enums that define members would lead to a violation of some important invariants of types and instances. On the other hand, it makes sense to allow sharing some common behavior between a group of enumerations. (See `OrderedEnum`_ for an example.) .. _enum-dataclass-support: Dataclass support ----------------- When inheriting from a :class:`~dataclasses.dataclass`, the :meth:`~Enum.__repr__` omits the inherited class' name. For example:: >>> from dataclasses import dataclass, field >>> @dataclass ... class CreatureDataMixin: ... size: str ... legs: int ... tail: bool = field(repr=False, default=True) ... >>> class Creature(CreatureDataMixin, Enum): ... BEETLE = 'small', 6 ... DOG = 'medium', 4 ... >>> Creature.DOG Use the :func:`~dataclasses.dataclass` argument ``repr=False`` to use the standard :func:`repr`. .. versionchanged:: 3.12 Only the dataclass fields are shown in the value area, not the dataclass' name. .. note:: Adding :func:`~dataclasses.dataclass` decorator to :class:`Enum` and its subclasses is not supported. It will not raise any errors, but it will produce very strange results at runtime, such as members being equal to each other:: >>> @dataclass # don't do this: it does not make any sense ... class Color(Enum): ... RED = 1 ... BLUE = 2 ... >>> Color.RED is Color.BLUE False >>> Color.RED == Color.BLUE # problem is here: they should not be equal True Pickling -------- Enumerations can be pickled and unpickled:: >>> from test.test_enum import Fruit >>> from pickle import dumps, loads >>> Fruit.TOMATO is loads(dumps(Fruit.TOMATO)) True The usual restrictions for pickling apply: picklable enums must be defined in the top level of a module, since unpickling requires them to be importable from that module. .. note:: With pickle protocol version 4 it is possible to easily pickle enums nested in other classes. It is possible to modify how enum members are pickled/unpickled by defining :meth:`__reduce_ex__` in the enumeration class. The default method is by-value, but enums with complicated values may want to use by-name:: >>> import enum >>> class MyEnum(enum.Enum): ... __reduce_ex__ = enum.pickle_by_enum_name .. note:: Using by-name for flags is not recommended, as unnamed aliases will not unpickle. Functional API -------------- The :class:`Enum` class is callable, providing the following functional API:: >>> Animal = Enum('Animal', 'ANT BEE CAT DOG') >>> Animal >>> Animal.ANT >>> list(Animal) [, , , ] The semantics of this API resemble :class:`~collections.namedtuple`. The first argument of the call to :class:`Enum` is the name of the enumeration. The second argument is the *source* of enumeration member names. It can be a whitespace-separated string of names, a sequence of names, a sequence of 2-tuples with key/value pairs, or a mapping (e.g. dictionary) of names to values. The last two options enable assigning arbitrary values to enumerations; the others auto-assign increasing integers starting with 1 (use the ``start`` parameter to specify a different starting value). A new class derived from :class:`Enum` is returned. In other words, the above assignment to :class:`Animal` is equivalent to:: >>> class Animal(Enum): ... ANT = 1 ... BEE = 2 ... CAT = 3 ... DOG = 4 ... The reason for defaulting to ``1`` as the starting number and not ``0`` is that ``0`` is ``False`` in a boolean sense, but by default enum members all evaluate to ``True``. Pickling enums created with the functional API can be tricky as frame stack implementation details are used to try and figure out which module the enumeration is being created in (e.g. it will fail if you use a utility function in a separate module, and also may not work on IronPython or Jython). The solution is to specify the module name explicitly as follows:: >>> Animal = Enum('Animal', 'ANT BEE CAT DOG', module=__name__) .. warning:: If ``module`` is not supplied, and Enum cannot determine what it is, the new Enum members will not be unpicklable; to keep errors closer to the source, pickling will be disabled. The new pickle protocol 4 also, in some circumstances, relies on :attr:`~type.__qualname__` being set to the location where pickle will be able to find the class. For example, if the class was made available in class SomeData in the global scope:: >>> Animal = Enum('Animal', 'ANT BEE CAT DOG', qualname='SomeData.Animal') The complete signature is:: Enum( value='NewEnumName', names=<...>, *, module='...', qualname='...', type=, start=1, ) * *value*: What the new enum class will record as its name. * *names*: The enum members. This can be a whitespace- or comma-separated string (values will start at 1 unless otherwise specified):: 'RED GREEN BLUE' | 'RED,GREEN,BLUE' | 'RED, GREEN, BLUE' or an iterator of names:: ['RED', 'GREEN', 'BLUE'] or an iterator of (name, value) pairs:: [('CYAN', 4), ('MAGENTA', 5), ('YELLOW', 6)] or a mapping:: {'CHARTREUSE': 7, 'SEA_GREEN': 11, 'ROSEMARY': 42} * *module*: name of module where new enum class can be found. * *qualname*: where in module new enum class can be found. * *type*: type to mix in to new enum class. * *start*: number to start counting at if only names are passed in. .. versionchanged:: 3.5 The *start* parameter was added. Derived Enumerations -------------------- IntEnum ^^^^^^^ The first variation of :class:`Enum` that is provided is also a subclass of :class:`int`. Members of an :class:`IntEnum` can be compared to integers; by extension, integer enumerations of different types can also be compared to each other:: >>> from enum import IntEnum >>> class Shape(IntEnum): ... CIRCLE = 1 ... SQUARE = 2 ... >>> class Request(IntEnum): ... POST = 1 ... GET = 2 ... >>> Shape == 1 False >>> Shape.CIRCLE == 1 True >>> Shape.CIRCLE == Request.POST True However, they still can't be compared to standard :class:`Enum` enumerations:: >>> class Shape(IntEnum): ... CIRCLE = 1 ... SQUARE = 2 ... >>> class Color(Enum): ... RED = 1 ... GREEN = 2 ... >>> Shape.CIRCLE == Color.RED False :class:`IntEnum` values behave like integers in other ways you'd expect:: >>> int(Shape.CIRCLE) 1 >>> ['a', 'b', 'c'][Shape.CIRCLE] 'b' >>> [i for i in range(Shape.SQUARE)] [0, 1] StrEnum ^^^^^^^ The second variation of :class:`Enum` that is provided is also a subclass of :class:`str`. Members of a :class:`StrEnum` can be compared to strings; by extension, string enumerations of different types can also be compared to each other. .. versionadded:: 3.11 IntFlag ^^^^^^^ The next variation of :class:`Enum` provided, :class:`IntFlag`, is also based on :class:`int`. The difference being :class:`IntFlag` members can be combined using the bitwise operators (&, \|, ^, ~) and the result is still an :class:`IntFlag` member, if possible. Like :class:`IntEnum`, :class:`IntFlag` members are also integers and can be used wherever an :class:`int` is used. .. note:: Any operation on an :class:`IntFlag` member besides the bit-wise operations will lose the :class:`IntFlag` membership. Bit-wise operations that result in invalid :class:`IntFlag` values will lose the :class:`IntFlag` membership. See :class:`FlagBoundary` for details. .. versionadded:: 3.6 .. versionchanged:: 3.11 Sample :class:`IntFlag` class:: >>> from enum import IntFlag >>> class Perm(IntFlag): ... R = 4 ... W = 2 ... X = 1 ... >>> Perm.R | Perm.W >>> Perm.R + Perm.W 6 >>> RW = Perm.R | Perm.W >>> Perm.R in RW True It is also possible to name the combinations:: >>> class Perm(IntFlag): ... R = 4 ... W = 2 ... X = 1 ... RWX = 7 ... >>> Perm.RWX >>> ~Perm.RWX >>> Perm(7) .. note:: Named combinations are considered aliases. Aliases do not show up during iteration, but can be returned from by-value lookups. .. versionchanged:: 3.11 Another important difference between :class:`IntFlag` and :class:`Enum` is that if no flags are set (the value is 0), its boolean evaluation is :data:`False`:: >>> Perm.R & Perm.X >>> bool(Perm.R & Perm.X) False Because :class:`IntFlag` members are also subclasses of :class:`int` they can be combined with them (but may lose :class:`IntFlag` membership:: >>> Perm.X | 4 >>> Perm.X + 8 9 .. note:: The negation operator, ``~``, always returns an :class:`IntFlag` member with a positive value:: >>> (~Perm.X).value == (Perm.R|Perm.W).value == 6 True :class:`IntFlag` members can also be iterated over:: >>> list(RW) [, ] .. versionadded:: 3.11 Flag ^^^^ The last variation is :class:`Flag`. Like :class:`IntFlag`, :class:`Flag` members can be combined using the bitwise operators (&, \|, ^, ~). Unlike :class:`IntFlag`, they cannot be combined with, nor compared against, any other :class:`Flag` enumeration, nor :class:`int`. While it is possible to specify the values directly it is recommended to use :class:`auto` as the value and let :class:`Flag` select an appropriate value. .. versionadded:: 3.6 Like :class:`IntFlag`, if a combination of :class:`Flag` members results in no flags being set, the boolean evaluation is :data:`False`:: >>> from enum import Flag, auto >>> class Color(Flag): ... RED = auto() ... BLUE = auto() ... GREEN = auto() ... >>> Color.RED & Color.GREEN >>> bool(Color.RED & Color.GREEN) False Individual flags should have values that are powers of two (1, 2, 4, 8, ...), while combinations of flags will not:: >>> class Color(Flag): ... RED = auto() ... BLUE = auto() ... GREEN = auto() ... WHITE = RED | BLUE | GREEN ... >>> Color.WHITE Giving a name to the "no flags set" condition does not change its boolean value:: >>> class Color(Flag): ... BLACK = 0 ... RED = auto() ... BLUE = auto() ... GREEN = auto() ... >>> Color.BLACK >>> bool(Color.BLACK) False :class:`Flag` members can also be iterated over:: >>> purple = Color.RED | Color.BLUE >>> list(purple) [, ] .. versionadded:: 3.11 .. note:: For the majority of new code, :class:`Enum` and :class:`Flag` are strongly recommended, since :class:`IntEnum` and :class:`IntFlag` break some semantic promises of an enumeration (by being comparable to integers, and thus by transitivity to other unrelated enumerations). :class:`IntEnum` and :class:`IntFlag` should be used only in cases where :class:`Enum` and :class:`Flag` will not do; for example, when integer constants are replaced with enumerations, or for interoperability with other systems. Others ^^^^^^ While :class:`IntEnum` is part of the :mod:`enum` module, it would be very simple to implement independently:: class IntEnum(int, ReprEnum): # or Enum instead of ReprEnum pass This demonstrates how similar derived enumerations can be defined; for example a :class:`FloatEnum` that mixes in :class:`float` instead of :class:`int`. Some rules: 1. When subclassing :class:`Enum`, mix-in types must appear before the :class:`Enum` class itself in the sequence of bases, as in the :class:`IntEnum` example above. 2. Mix-in types must be subclassable. For example, :class:`bool` and :class:`range` are not subclassable and will throw an error during Enum creation if used as the mix-in type. 3. While :class:`Enum` can have members of any type, once you mix in an additional type, all the members must have values of that type, e.g. :class:`int` above. This restriction does not apply to mix-ins which only add methods and don't specify another type. 4. When another data type is mixed in, the :attr:`value` attribute is *not the same* as the enum member itself, although it is equivalent and will compare equal. 5. A ``data type`` is a mixin that defines :meth:`__new__`, or a :class:`~dataclasses.dataclass` 6. %-style formatting: ``%s`` and ``%r`` call the :class:`Enum` class's :meth:`__str__` and :meth:`__repr__` respectively; other codes (such as ``%i`` or ``%h`` for IntEnum) treat the enum member as its mixed-in type. 7. :ref:`Formatted string literals `, :meth:`str.format`, and :func:`format` will use the enum's :meth:`__str__` method. .. note:: Because :class:`IntEnum`, :class:`IntFlag`, and :class:`StrEnum` are designed to be drop-in replacements for existing constants, their :meth:`__str__` method has been reset to their data types' :meth:`__str__` method. .. _new-vs-init: When to use :meth:`__new__` vs. :meth:`__init__` ------------------------------------------------ :meth:`__new__` must be used whenever you want to customize the actual value of the :class:`Enum` member. Any other modifications may go in either :meth:`__new__` or :meth:`__init__`, with :meth:`__init__` being preferred. For example, if you want to pass several items to the constructor, but only want one of them to be the value:: >>> class Coordinate(bytes, Enum): ... """ ... Coordinate with binary codes that can be indexed by the int code. ... """ ... def __new__(cls, value, label, unit): ... obj = bytes.__new__(cls, [value]) ... obj._value_ = value ... obj.label = label ... obj.unit = unit ... return obj ... PX = (0, 'P.X', 'km') ... PY = (1, 'P.Y', 'km') ... VX = (2, 'V.X', 'km/s') ... VY = (3, 'V.Y', 'km/s') ... >>> print(Coordinate['PY']) Coordinate.PY >>> print(Coordinate(3)) Coordinate.VY .. warning:: *Do not* call ``super().__new__()``, as the lookup-only ``__new__`` is the one that is found; instead, use the data type directly. Finer Points ^^^^^^^^^^^^ Supported ``__dunder__`` names """""""""""""""""""""""""""""" :attr:`__members__` is a read-only ordered mapping of ``member_name``:``member`` items. It is only available on the class. :meth:`__new__`, if specified, must create and return the enum members; it is also a very good idea to set the member's :attr:`_value_` appropriately. Once all the members are created it is no longer used. Supported ``_sunder_`` names """""""""""""""""""""""""""" - :attr:`~Enum._name_` -- name of the member - :attr:`~Enum._value_` -- value of the member; can be set in ``__new__`` - :meth:`~Enum._missing_` -- a lookup function used when a value is not found; may be overridden - :attr:`~Enum._ignore_` -- a list of names, either as a :class:`list` or a :class:`str`, that will not be transformed into members, and will be removed from the final class - :meth:`~Enum._generate_next_value_` -- used to get an appropriate value for an enum member; may be overridden - :meth:`~Enum._add_alias_` -- adds a new name as an alias to an existing member. - :meth:`~Enum._add_value_alias_` -- adds a new value as an alias to an existing member. See `MultiValueEnum`_ for an example. .. note:: For standard :class:`Enum` classes the next value chosen is the highest value seen incremented by one. For :class:`Flag` classes the next value chosen will be the next highest power-of-two. .. versionchanged:: 3.13 Prior versions would use the last seen value instead of the highest value. .. versionadded:: 3.6 ``_missing_``, ``_order_``, ``_generate_next_value_`` .. versionadded:: 3.7 ``_ignore_`` .. versionadded:: 3.13 ``_add_alias_``, ``_add_value_alias_`` To help keep Python 2 / Python 3 code in sync an :attr:`_order_` attribute can be provided. It will be checked against the actual order of the enumeration and raise an error if the two do not match:: >>> class Color(Enum): ... _order_ = 'RED GREEN BLUE' ... RED = 1 ... BLUE = 3 ... GREEN = 2 ... Traceback (most recent call last): ... TypeError: member order does not match _order_: ['RED', 'BLUE', 'GREEN'] ['RED', 'GREEN', 'BLUE'] .. note:: In Python 2 code the :attr:`_order_` attribute is necessary as definition order is lost before it can be recorded. _Private__names """"""""""""""" :ref:`Private names ` are not converted to enum members, but remain normal attributes. .. versionchanged:: 3.11 ``Enum`` member type """""""""""""""""""" Enum members are instances of their enum class, and are normally accessed as ``EnumClass.member``. In certain situations, such as writing custom enum behavior, being able to access one member directly from another is useful, and is supported; however, in order to avoid name clashes between member names and attributes/methods from mixed-in classes, upper-case names are strongly recommended. .. versionchanged:: 3.5 Creating members that are mixed with other data types """"""""""""""""""""""""""""""""""""""""""""""""""""" When subclassing other data types, such as :class:`int` or :class:`str`, with an :class:`Enum`, all values after the ``=`` are passed to that data type's constructor. For example:: >>> class MyEnum(IntEnum): # help(int) -> int(x, base=10) -> integer ... example = '11', 16 # so x='11' and base=16 ... >>> MyEnum.example.value # and hex(11) is... 17 Boolean value of ``Enum`` classes and members """"""""""""""""""""""""""""""""""""""""""""" Enum classes that are mixed with non-:class:`Enum` types (such as :class:`int`, :class:`str`, etc.) are evaluated according to the mixed-in type's rules; otherwise, all members evaluate as :data:`True`. To make your own enum's boolean evaluation depend on the member's value add the following to your class:: def __bool__(self): return bool(self.value) Plain :class:`Enum` classes always evaluate as :data:`True`. ``Enum`` classes with methods """"""""""""""""""""""""""""" If you give your enum subclass extra methods, like the `Planet`_ class below, those methods will show up in a :func:`dir` of the member, but not of the class:: >>> dir(Planet) # doctest: +SKIP ['EARTH', 'JUPITER', 'MARS', 'MERCURY', 'NEPTUNE', 'SATURN', 'URANUS', 'VENUS', '__class__', '__doc__', '__members__', '__module__'] >>> dir(Planet.EARTH) # doctest: +SKIP ['__class__', '__doc__', '__module__', 'mass', 'name', 'radius', 'surface_gravity', 'value'] Combining members of ``Flag`` """"""""""""""""""""""""""""" Iterating over a combination of :class:`Flag` members will only return the members that are comprised of a single bit:: >>> class Color(Flag): ... RED = auto() ... GREEN = auto() ... BLUE = auto() ... MAGENTA = RED | BLUE ... YELLOW = RED | GREEN ... CYAN = GREEN | BLUE ... >>> Color(3) # named combination >>> Color(7) # not named combination ``Flag`` and ``IntFlag`` minutia """""""""""""""""""""""""""""""" Using the following snippet for our examples:: >>> class Color(IntFlag): ... BLACK = 0 ... RED = 1 ... GREEN = 2 ... BLUE = 4 ... PURPLE = RED | BLUE ... WHITE = RED | GREEN | BLUE ... the following are true: - single-bit flags are canonical - multi-bit and zero-bit flags are aliases - only canonical flags are returned during iteration:: >>> list(Color.WHITE) [, , ] - negating a flag or flag set returns a new flag/flag set with the corresponding positive integer value:: >>> Color.BLUE >>> ~Color.BLUE - names of pseudo-flags are constructed from their members' names:: >>> (Color.RED | Color.GREEN).name 'RED|GREEN' >>> class Perm(IntFlag): ... R = 4 ... W = 2 ... X = 1 ... >>> (Perm.R & Perm.W).name is None # effectively Perm(0) True - multi-bit flags, aka aliases, can be returned from operations:: >>> Color.RED | Color.BLUE >>> Color(7) # or Color(-1) >>> Color(0) - membership / containment checking: zero-valued flags are always considered to be contained:: >>> Color.BLACK in Color.WHITE True otherwise, only if all bits of one flag are in the other flag will True be returned:: >>> Color.PURPLE in Color.WHITE True >>> Color.GREEN in Color.PURPLE False There is a new boundary mechanism that controls how out-of-range / invalid bits are handled: ``STRICT``, ``CONFORM``, ``EJECT``, and ``KEEP``: * STRICT --> raises an exception when presented with invalid values * CONFORM --> discards any invalid bits * EJECT --> lose Flag status and become a normal int with the given value * KEEP --> keep the extra bits - keeps Flag status and extra bits - extra bits do not show up in iteration - extra bits do show up in repr() and str() The default for Flag is ``STRICT``, the default for ``IntFlag`` is ``EJECT``, and the default for ``_convert_`` is ``KEEP`` (see ``ssl.Options`` for an example of when ``KEEP`` is needed). .. _enum-class-differences: How are Enums and Flags different? ---------------------------------- Enums have a custom metaclass that affects many aspects of both derived :class:`Enum` classes and their instances (members). Enum Classes ^^^^^^^^^^^^ The :class:`EnumType` metaclass is responsible for providing the :meth:`__contains__`, :meth:`__dir__`, :meth:`__iter__` and other methods that allow one to do things with an :class:`Enum` class that fail on a typical class, such as ``list(Color)`` or ``some_enum_var in Color``. :class:`EnumType` is responsible for ensuring that various other methods on the final :class:`Enum` class are correct (such as :meth:`__new__`, :meth:`__getnewargs__`, :meth:`__str__` and :meth:`__repr__`). Flag Classes ^^^^^^^^^^^^ Flags have an expanded view of aliasing: to be canonical, the value of a flag needs to be a power-of-two value, and not a duplicate name. So, in addition to the :class:`Enum` definition of alias, a flag with no value (a.k.a. ``0``) or with more than one power-of-two value (e.g. ``3``) is considered an alias. Enum Members (aka instances) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ The most interesting thing about enum members is that they are singletons. :class:`EnumType` creates them all while it is creating the enum class itself, and then puts a custom :meth:`__new__` in place to ensure that no new ones are ever instantiated by returning only the existing member instances. Flag Members ^^^^^^^^^^^^ Flag members can be iterated over just like the :class:`Flag` class, and only the canonical members will be returned. For example:: >>> list(Color) [, , ] (Note that ``BLACK``, ``PURPLE``, and ``WHITE`` do not show up.) Inverting a flag member returns the corresponding positive value, rather than a negative value --- for example:: >>> ~Color.RED Flag members have a length corresponding to the number of power-of-two values they contain. For example:: >>> len(Color.PURPLE) 2 .. _enum-cookbook: Enum Cookbook ------------- While :class:`Enum`, :class:`IntEnum`, :class:`StrEnum`, :class:`Flag`, and :class:`IntFlag` are expected to cover the majority of use-cases, they cannot cover them all. Here are recipes for some different types of enumerations that can be used directly, or as examples for creating one's own. Omitting values ^^^^^^^^^^^^^^^ In many use-cases, one doesn't care what the actual value of an enumeration is. There are several ways to define this type of simple enumeration: - use instances of :class:`auto` for the value - use instances of :class:`object` as the value - use a descriptive string as the value - use a tuple as the value and a custom :meth:`__new__` to replace the tuple with an :class:`int` value Using any of these methods signifies to the user that these values are not important, and also enables one to add, remove, or reorder members without having to renumber the remaining members. Using :class:`auto` """"""""""""""""""" Using :class:`auto` would look like:: >>> class Color(Enum): ... RED = auto() ... BLUE = auto() ... GREEN = auto() ... >>> Color.GREEN Using :class:`object` """"""""""""""""""""" Using :class:`object` would look like:: >>> class Color(Enum): ... RED = object() ... GREEN = object() ... BLUE = object() ... >>> Color.GREEN # doctest: +SKIP > This is also a good example of why you might want to write your own :meth:`__repr__`:: >>> class Color(Enum): ... RED = object() ... GREEN = object() ... BLUE = object() ... def __repr__(self): ... return "<%s.%s>" % (self.__class__.__name__, self._name_) ... >>> Color.GREEN Using a descriptive string """""""""""""""""""""""""" Using a string as the value would look like:: >>> class Color(Enum): ... RED = 'stop' ... GREEN = 'go' ... BLUE = 'too fast!' ... >>> Color.GREEN Using a custom :meth:`__new__` """""""""""""""""""""""""""""" Using an auto-numbering :meth:`__new__` would look like:: >>> class AutoNumber(Enum): ... def __new__(cls): ... value = len(cls.__members__) + 1 ... obj = object.__new__(cls) ... obj._value_ = value ... return obj ... >>> class Color(AutoNumber): ... RED = () ... GREEN = () ... BLUE = () ... >>> Color.GREEN To make a more general purpose ``AutoNumber``, add ``*args`` to the signature:: >>> class AutoNumber(Enum): ... def __new__(cls, *args): # this is the only change from above ... value = len(cls.__members__) + 1 ... obj = object.__new__(cls) ... obj._value_ = value ... return obj ... Then when you inherit from ``AutoNumber`` you can write your own ``__init__`` to handle any extra arguments:: >>> class Swatch(AutoNumber): ... def __init__(self, pantone='unknown'): ... self.pantone = pantone ... AUBURN = '3497' ... SEA_GREEN = '1246' ... BLEACHED_CORAL = () # New color, no Pantone code yet! ... >>> Swatch.SEA_GREEN >>> Swatch.SEA_GREEN.pantone '1246' >>> Swatch.BLEACHED_CORAL.pantone 'unknown' .. note:: The :meth:`__new__` method, if defined, is used during creation of the Enum members; it is then replaced by Enum's :meth:`__new__` which is used after class creation for lookup of existing members. .. warning:: *Do not* call ``super().__new__()``, as the lookup-only ``__new__`` is the one that is found; instead, use the data type directly -- e.g.:: obj = int.__new__(cls, value) OrderedEnum ^^^^^^^^^^^ An ordered enumeration that is not based on :class:`IntEnum` and so maintains the normal :class:`Enum` invariants (such as not being comparable to other enumerations):: >>> class OrderedEnum(Enum): ... def __ge__(self, other): ... if self.__class__ is other.__class__: ... return self.value >= other.value ... return NotImplemented ... def __gt__(self, other): ... if self.__class__ is other.__class__: ... return self.value > other.value ... return NotImplemented ... def __le__(self, other): ... if self.__class__ is other.__class__: ... return self.value <= other.value ... return NotImplemented ... def __lt__(self, other): ... if self.__class__ is other.__class__: ... return self.value < other.value ... return NotImplemented ... >>> class Grade(OrderedEnum): ... A = 5 ... B = 4 ... C = 3 ... D = 2 ... F = 1 ... >>> Grade.C < Grade.A True DuplicateFreeEnum ^^^^^^^^^^^^^^^^^ Raises an error if a duplicate member value is found instead of creating an alias:: >>> class DuplicateFreeEnum(Enum): ... def __init__(self, *args): ... cls = self.__class__ ... if any(self.value == e.value for e in cls): ... a = self.name ... e = cls(self.value).name ... raise ValueError( ... "aliases not allowed in DuplicateFreeEnum: %r --> %r" ... % (a, e)) ... >>> class Color(DuplicateFreeEnum): ... RED = 1 ... GREEN = 2 ... BLUE = 3 ... GRENE = 2 ... Traceback (most recent call last): ... ValueError: aliases not allowed in DuplicateFreeEnum: 'GRENE' --> 'GREEN' .. note:: This is a useful example for subclassing Enum to add or change other behaviors as well as disallowing aliases. If the only desired change is disallowing aliases, the :func:`unique` decorator can be used instead. MultiValueEnum ^^^^^^^^^^^^^^^^^ Supports having more than one value per member:: >>> class MultiValueEnum(Enum): ... def __new__(cls, value, *values): ... self = object.__new__(cls) ... self._value_ = value ... for v in values: ... self._add_value_alias_(v) ... return self ... >>> class DType(MultiValueEnum): ... float32 = 'f', 8 ... double64 = 'd', 9 ... >>> DType('f') >>> DType(9) Planet ^^^^^^ If :meth:`__new__` or :meth:`__init__` is defined, the value of the enum member will be passed to those methods:: >>> class Planet(Enum): ... MERCURY = (3.303e+23, 2.4397e6) ... VENUS = (4.869e+24, 6.0518e6) ... EARTH = (5.976e+24, 6.37814e6) ... MARS = (6.421e+23, 3.3972e6) ... JUPITER = (1.9e+27, 7.1492e7) ... SATURN = (5.688e+26, 6.0268e7) ... URANUS = (8.686e+25, 2.5559e7) ... NEPTUNE = (1.024e+26, 2.4746e7) ... def __init__(self, mass, radius): ... self.mass = mass # in kilograms ... self.radius = radius # in meters ... @property ... def surface_gravity(self): ... # universal gravitational constant (m3 kg-1 s-2) ... G = 6.67300E-11 ... return G * self.mass / (self.radius * self.radius) ... >>> Planet.EARTH.value (5.976e+24, 6378140.0) >>> Planet.EARTH.surface_gravity 9.802652743337129 .. _enum-time-period: TimePeriod ^^^^^^^^^^ An example to show the :attr:`_ignore_` attribute in use:: >>> from datetime import timedelta >>> class Period(timedelta, Enum): ... "different lengths of time" ... _ignore_ = 'Period i' ... Period = vars() ... for i in range(367): ... Period['day_%d' % i] = i ... >>> list(Period)[:2] [, ] >>> list(Period)[-2:] [, ] .. _enumtype-examples: Subclassing EnumType -------------------- While most enum needs can be met by customizing :class:`Enum` subclasses, either with class decorators or custom functions, :class:`EnumType` can be subclassed to provide a different Enum experience. free-threading-extensions.rst000066400000000000000000000254071514162565100357660ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/data/Doc/howto.. highlight:: c .. _freethreading-extensions-howto: ****************************************** C API Extension Support for Free Threading ****************************************** Starting with the 3.13 release, CPython has experimental support for running with the :term:`global interpreter lock` (GIL) disabled in a configuration called :term:`free threading`. This document describes how to adapt C API extensions to support free threading. Identifying the Free-Threaded Build in C ======================================== The CPython C API exposes the ``Py_GIL_DISABLED`` macro: in the free-threaded build it's defined to ``1``, and in the regular build it's not defined. You can use it to enable code that only runs under the free-threaded build:: #ifdef Py_GIL_DISABLED /* code that only runs in the free-threaded build */ #endif Module Initialization ===================== Extension modules need to explicitly indicate that they support running with the GIL disabled; otherwise importing the extension will raise a warning and enable the GIL at runtime. There are two ways to indicate that an extension module supports running with the GIL disabled depending on whether the extension uses multi-phase or single-phase initialization. Multi-Phase Initialization .......................... Extensions that use multi-phase initialization (i.e., :c:func:`PyModuleDef_Init`) should add a :c:data:`Py_mod_gil` slot in the module definition. If your extension supports older versions of CPython, you should guard the slot with a :c:data:`PY_VERSION_HEX` check. :: static struct PyModuleDef_Slot module_slots[] = { ... #if PY_VERSION_HEX >= 0x030D0000 {Py_mod_gil, Py_MOD_GIL_NOT_USED}, #endif {0, NULL} }; static struct PyModuleDef moduledef = { PyModuleDef_HEAD_INIT, .m_slots = module_slots, ... }; Single-Phase Initialization ........................... Extensions that use single-phase initialization (i.e., :c:func:`PyModule_Create`) should call :c:func:`PyUnstable_Module_SetGIL` to indicate that they support running with the GIL disabled. The function is only defined in the free-threaded build, so you should guard the call with ``#ifdef Py_GIL_DISABLED`` to avoid compilation errors in the regular build. :: static struct PyModuleDef moduledef = { PyModuleDef_HEAD_INIT, ... }; PyMODINIT_FUNC PyInit_mymodule(void) { PyObject *m = PyModule_Create(&moduledef); if (m == NULL) { return NULL; } #ifdef Py_GIL_DISABLED PyUnstable_Module_SetGIL(m, Py_MOD_GIL_NOT_USED); #endif return m; } General API Guidelines ====================== Most of the C API is thread-safe, but there are some exceptions. * **Struct Fields**: Accessing fields in Python C API objects or structs directly is not thread-safe if the field may be concurrently modified. * **Macros**: Accessor macros like :c:macro:`PyList_GET_ITEM` and :c:macro:`PyList_SET_ITEM` do not perform any error checking or locking. These macros are not thread-safe if the container object may be modified concurrently. * **Borrowed References**: C API functions that return :term:`borrowed references ` may not be thread-safe if the containing object is modified concurrently. See the section on :ref:`borrowed references ` for more information. Container Thread Safety ....................... Containers like :c:struct:`PyListObject`, :c:struct:`PyDictObject`, and :c:struct:`PySetObject` perform internal locking in the free-threaded build. For example, the :c:func:`PyList_Append` will lock the list before appending an item. .. _PyDict_Next: ``PyDict_Next`` ''''''''''''''' A notable exception is :c:func:`PyDict_Next`, which does not lock the dictionary. You should use :c:macro:`Py_BEGIN_CRITICAL_SECTION` to protect the dictionary while iterating over it if the dictionary may be concurrently modified:: Py_BEGIN_CRITICAL_SECTION(dict); PyObject *key, *value; Py_ssize_t pos = 0; while (PyDict_Next(dict, &pos, &key, &value)) { ... } Py_END_CRITICAL_SECTION(); Borrowed References =================== .. _borrowed-references: Some C API functions return :term:`borrowed references `. These APIs are not thread-safe if the containing object is modified concurrently. For example, it's not safe to use :c:func:`PyList_GetItem` if the list may be modified concurrently. The following table lists some borrowed reference APIs and their replacements that return :term:`strong references `. +-----------------------------------+-----------------------------------+ | Borrowed reference API | Strong reference API | +===================================+===================================+ | :c:func:`PyList_GetItem` | :c:func:`PyList_GetItemRef` | +-----------------------------------+-----------------------------------+ | :c:func:`PyDict_GetItem` | :c:func:`PyDict_GetItemRef` | +-----------------------------------+-----------------------------------+ | :c:func:`PyDict_GetItemWithError` | :c:func:`PyDict_GetItemRef` | +-----------------------------------+-----------------------------------+ | :c:func:`PyDict_GetItemString` | :c:func:`PyDict_GetItemStringRef` | +-----------------------------------+-----------------------------------+ | :c:func:`PyDict_SetDefault` | :c:func:`PyDict_SetDefaultRef` | +-----------------------------------+-----------------------------------+ | :c:func:`PyDict_Next` | none (see :ref:`PyDict_Next`) | +-----------------------------------+-----------------------------------+ | :c:func:`PyWeakref_GetObject` | :c:func:`PyWeakref_GetRef` | +-----------------------------------+-----------------------------------+ | :c:func:`PyWeakref_GET_OBJECT` | :c:func:`PyWeakref_GetRef` | +-----------------------------------+-----------------------------------+ | :c:func:`PyImport_AddModule` | :c:func:`PyImport_AddModuleRef` | +-----------------------------------+-----------------------------------+ Not all APIs that return borrowed references are problematic. For example, :c:func:`PyTuple_GetItem` is safe because tuples are immutable. Similarly, not all uses of the above APIs are problematic. For example, :c:func:`PyDict_GetItem` is often used for parsing keyword argument dictionaries in function calls; those keyword argument dictionaries are effectively private (not accessible by other threads), so using borrowed references in that context is safe. Some of these functions were added in Python 3.13. You can use the `pythoncapi-compat `_ package to provide implementations of these functions for older Python versions. .. _free-threaded-memory-allocation: Memory Allocation APIs ====================== Python's memory management C API provides functions in three different :ref:`allocation domains `: "raw", "mem", and "object". For thread-safety, the free-threaded build requires that only Python objects are allocated using the object domain, and that all Python object are allocated using that domain. This differs from the prior Python versions, where this was only a best practice and not a hard requirement. .. note:: Search for uses of :c:func:`PyObject_Malloc` in your extension and check that the allocated memory is used for Python objects. Use :c:func:`PyMem_Malloc` to allocate buffers instead of :c:func:`PyObject_Malloc`. Thread State and GIL APIs ========================= Python provides a set of functions and macros to manage thread state and the GIL, such as: * :c:func:`PyGILState_Ensure` and :c:func:`PyGILState_Release` * :c:func:`PyEval_SaveThread` and :c:func:`PyEval_RestoreThread` * :c:macro:`Py_BEGIN_ALLOW_THREADS` and :c:macro:`Py_END_ALLOW_THREADS` These functions should still be used in the free-threaded build to manage thread state even when the :term:`GIL` is disabled. For example, if you create a thread outside of Python, you must call :c:func:`PyGILState_Ensure` before calling into the Python API to ensure that the thread has a valid Python thread state. You should continue to call :c:func:`PyEval_SaveThread` or :c:macro:`Py_BEGIN_ALLOW_THREADS` around blocking operations, such as I/O or lock acquisitions, to allow other threads to run the :term:`cyclic garbage collector `. Protecting Internal Extension State =================================== Your extension may have internal state that was previously protected by the GIL. You may need to add locking to protect this state. The approach will depend on your extension, but some common patterns include: * **Caches**: global caches are a common source of shared state. Consider using a lock to protect the cache or disabling it in the free-threaded build if the cache is not critical for performance. * **Global State**: global state may need to be protected by a lock or moved to thread local storage. C11 and C++11 provide the ``thread_local`` or ``_Thread_local`` for `thread-local storage `_. Building Extensions for the Free-Threaded Build =============================================== C API extensions need to be built specifically for the free-threaded build. The wheels, shared libraries, and binaries are indicated by a ``t`` suffix. * `pypa/manylinux `_ supports the free-threaded build, with the ``t`` suffix, such as ``python3.13t``. * `pypa/cibuildwheel `_ supports the free-threaded build if you set `CIBW_FREE_THREADED_SUPPORT `_. Limited C API and Stable ABI ............................ The free-threaded build does not currently support the :ref:`Limited C API ` or the stable ABI. If you use `setuptools `_ to build your extension and currently set ``py_limited_api=True`` you can use ``py_limited_api=not sysconfig.get_config_var("Py_GIL_DISABLED")`` to opt out of the limited API when building with the free-threaded build. .. note:: You will need to build separate wheels specifically for the free-threaded build. If you currently use the stable ABI, you can continue to build a single wheel for multiple non-free-threaded Python versions. Windows ....... Due to a limitation of the official Windows installer, you will need to manually define ``Py_GIL_DISABLED=1`` when building extensions from source. .. seealso:: `Porting Extension Modules to Support Free-Threading `_: A community-maintained porting guide for extension authors. pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/data/Doc/howto/functional.rst000066400000000000000000001405461514162565100331300ustar00rootroot00000000000000.. _functional-howto: ******************************** Functional Programming HOWTO ******************************** :Author: A. M. Kuchling :Release: 0.32 In this document, we'll take a tour of Python's features suitable for implementing programs in a functional style. After an introduction to the concepts of functional programming, we'll look at language features such as :term:`iterator`\s and :term:`generator`\s and relevant library modules such as :mod:`itertools` and :mod:`functools`. Introduction ============ This section explains the basic concept of functional programming; if you're just interested in learning about Python language features, skip to the next section on :ref:`functional-howto-iterators`. Programming languages support decomposing problems in several different ways: * Most programming languages are **procedural**: programs are lists of instructions that tell the computer what to do with the program's input. C, Pascal, and even Unix shells are procedural languages. * In **declarative** languages, you write a specification that describes the problem to be solved, and the language implementation figures out how to perform the computation efficiently. SQL is the declarative language you're most likely to be familiar with; a SQL query describes the data set you want to retrieve, and the SQL engine decides whether to scan tables or use indexes, which subclauses should be performed first, etc. * **Object-oriented** programs manipulate collections of objects. Objects have internal state and support methods that query or modify this internal state in some way. Smalltalk and Java are object-oriented languages. C++ and Python are languages that support object-oriented programming, but don't force the use of object-oriented features. * **Functional** programming decomposes a problem into a set of functions. Ideally, functions only take inputs and produce outputs, and don't have any internal state that affects the output produced for a given input. Well-known functional languages include the ML family (Standard ML, OCaml, and other variants) and Haskell. The designers of some computer languages choose to emphasize one particular approach to programming. This often makes it difficult to write programs that use a different approach. Other languages are multi-paradigm languages that support several different approaches. Lisp, C++, and Python are multi-paradigm; you can write programs or libraries that are largely procedural, object-oriented, or functional in all of these languages. In a large program, different sections might be written using different approaches; the GUI might be object-oriented while the processing logic is procedural or functional, for example. In a functional program, input flows through a set of functions. Each function operates on its input and produces some output. Functional style discourages functions with side effects that modify internal state or make other changes that aren't visible in the function's return value. Functions that have no side effects at all are called **purely functional**. Avoiding side effects means not using data structures that get updated as a program runs; every function's output must only depend on its input. Some languages are very strict about purity and don't even have assignment statements such as ``a=3`` or ``c = a + b``, but it's difficult to avoid all side effects, such as printing to the screen or writing to a disk file. Another example is a call to the :func:`print` or :func:`time.sleep` function, neither of which returns a useful value. Both are called only for their side effects of sending some text to the screen or pausing execution for a second. Python programs written in functional style usually won't go to the extreme of avoiding all I/O or all assignments; instead, they'll provide a functional-appearing interface but will use non-functional features internally. For example, the implementation of a function will still use assignments to local variables, but won't modify global variables or have other side effects. Functional programming can be considered the opposite of object-oriented programming. Objects are little capsules containing some internal state along with a collection of method calls that let you modify this state, and programs consist of making the right set of state changes. Functional programming wants to avoid state changes as much as possible and works with data flowing between functions. In Python you might combine the two approaches by writing functions that take and return instances representing objects in your application (e-mail messages, transactions, etc.). Functional design may seem like an odd constraint to work under. Why should you avoid objects and side effects? There are theoretical and practical advantages to the functional style: * Formal provability. * Modularity. * Composability. * Ease of debugging and testing. Formal provability ------------------ A theoretical benefit is that it's easier to construct a mathematical proof that a functional program is correct. For a long time researchers have been interested in finding ways to mathematically prove programs correct. This is different from testing a program on numerous inputs and concluding that its output is usually correct, or reading a program's source code and concluding that the code looks right; the goal is instead a rigorous proof that a program produces the right result for all possible inputs. The technique used to prove programs correct is to write down **invariants**, properties of the input data and of the program's variables that are always true. For each line of code, you then show that if invariants X and Y are true **before** the line is executed, the slightly different invariants X' and Y' are true **after** the line is executed. This continues until you reach the end of the program, at which point the invariants should match the desired conditions on the program's output. Functional programming's avoidance of assignments arose because assignments are difficult to handle with this technique; assignments can break invariants that were true before the assignment without producing any new invariants that can be propagated onward. Unfortunately, proving programs correct is largely impractical and not relevant to Python software. Even trivial programs require proofs that are several pages long; the proof of correctness for a moderately complicated program would be enormous, and few or none of the programs you use daily (the Python interpreter, your XML parser, your web browser) could be proven correct. Even if you wrote down or generated a proof, there would then be the question of verifying the proof; maybe there's an error in it, and you wrongly believe you've proved the program correct. Modularity ---------- A more practical benefit of functional programming is that it forces you to break apart your problem into small pieces. Programs are more modular as a result. It's easier to specify and write a small function that does one thing than a large function that performs a complicated transformation. Small functions are also easier to read and to check for errors. Ease of debugging and testing ----------------------------- Testing and debugging a functional-style program is easier. Debugging is simplified because functions are generally small and clearly specified. When a program doesn't work, each function is an interface point where you can check that the data are correct. You can look at the intermediate inputs and outputs to quickly isolate the function that's responsible for a bug. Testing is easier because each function is a potential subject for a unit test. Functions don't depend on system state that needs to be replicated before running a test; instead you only have to synthesize the right input and then check that the output matches expectations. Composability ------------- As you work on a functional-style program, you'll write a number of functions with varying inputs and outputs. Some of these functions will be unavoidably specialized to a particular application, but others will be useful in a wide variety of programs. For example, a function that takes a directory path and returns all the XML files in the directory, or a function that takes a filename and returns its contents, can be applied to many different situations. Over time you'll form a personal library of utilities. Often you'll assemble new programs by arranging existing functions in a new configuration and writing a few functions specialized for the current task. .. _functional-howto-iterators: Iterators ========= I'll start by looking at a Python language feature that's an important foundation for writing functional-style programs: iterators. An iterator is an object representing a stream of data; this object returns the data one element at a time. A Python iterator must support a method called :meth:`~iterator.__next__` that takes no arguments and always returns the next element of the stream. If there are no more elements in the stream, :meth:`~iterator.__next__` must raise the :exc:`StopIteration` exception. Iterators don't have to be finite, though; it's perfectly reasonable to write an iterator that produces an infinite stream of data. The built-in :func:`iter` function takes an arbitrary object and tries to return an iterator that will return the object's contents or elements, raising :exc:`TypeError` if the object doesn't support iteration. Several of Python's built-in data types support iteration, the most common being lists and dictionaries. An object is called :term:`iterable` if you can get an iterator for it. You can experiment with the iteration interface manually: >>> L = [1, 2, 3] >>> it = iter(L) >>> it #doctest: +ELLIPSIS <...iterator object at ...> >>> it.__next__() # same as next(it) 1 >>> next(it) 2 >>> next(it) 3 >>> next(it) Traceback (most recent call last): File "", line 1, in StopIteration >>> Python expects iterable objects in several different contexts, the most important being the :keyword:`for` statement. In the statement ``for X in Y``, Y must be an iterator or some object for which :func:`iter` can create an iterator. These two statements are equivalent:: for i in iter(obj): print(i) for i in obj: print(i) Iterators can be materialized as lists or tuples by using the :func:`list` or :func:`tuple` constructor functions: >>> L = [1, 2, 3] >>> iterator = iter(L) >>> t = tuple(iterator) >>> t (1, 2, 3) Sequence unpacking also supports iterators: if you know an iterator will return N elements, you can unpack them into an N-tuple: >>> L = [1, 2, 3] >>> iterator = iter(L) >>> a, b, c = iterator >>> a, b, c (1, 2, 3) Built-in functions such as :func:`max` and :func:`min` can take a single iterator argument and will return the largest or smallest element. The ``"in"`` and ``"not in"`` operators also support iterators: ``X in iterator`` is true if X is found in the stream returned by the iterator. You'll run into obvious problems if the iterator is infinite; :func:`max`, :func:`min` will never return, and if the element X never appears in the stream, the ``"in"`` and ``"not in"`` operators won't return either. Note that you can only go forward in an iterator; there's no way to get the previous element, reset the iterator, or make a copy of it. Iterator objects can optionally provide these additional capabilities, but the iterator protocol only specifies the :meth:`~iterator.__next__` method. Functions may therefore consume all of the iterator's output, and if you need to do something different with the same stream, you'll have to create a new iterator. Data Types That Support Iterators --------------------------------- We've already seen how lists and tuples support iterators. In fact, any Python sequence type, such as strings, will automatically support creation of an iterator. Calling :func:`iter` on a dictionary returns an iterator that will loop over the dictionary's keys:: >>> m = {'Jan': 1, 'Feb': 2, 'Mar': 3, 'Apr': 4, 'May': 5, 'Jun': 6, ... 'Jul': 7, 'Aug': 8, 'Sep': 9, 'Oct': 10, 'Nov': 11, 'Dec': 12} >>> for key in m: ... print(key, m[key]) Jan 1 Feb 2 Mar 3 Apr 4 May 5 Jun 6 Jul 7 Aug 8 Sep 9 Oct 10 Nov 11 Dec 12 Note that starting with Python 3.7, dictionary iteration order is guaranteed to be the same as the insertion order. In earlier versions, the behaviour was unspecified and could vary between implementations. Applying :func:`iter` to a dictionary always loops over the keys, but dictionaries have methods that return other iterators. If you want to iterate over values or key/value pairs, you can explicitly call the :meth:`~dict.values` or :meth:`~dict.items` methods to get an appropriate iterator. The :func:`dict` constructor can accept an iterator that returns a finite stream of ``(key, value)`` tuples: >>> L = [('Italy', 'Rome'), ('France', 'Paris'), ('US', 'Washington DC')] >>> dict(iter(L)) {'Italy': 'Rome', 'France': 'Paris', 'US': 'Washington DC'} Files also support iteration by calling the :meth:`~io.TextIOBase.readline` method until there are no more lines in the file. This means you can read each line of a file like this:: for line in file: # do something for each line ... Sets can take their contents from an iterable and let you iterate over the set's elements:: >>> S = {2, 3, 5, 7, 11, 13} >>> for i in S: ... print(i) 2 3 5 7 11 13 Generator expressions and list comprehensions ============================================= Two common operations on an iterator's output are 1) performing some operation for every element, 2) selecting a subset of elements that meet some condition. For example, given a list of strings, you might want to strip off trailing whitespace from each line or extract all the strings containing a given substring. List comprehensions and generator expressions (short form: "listcomps" and "genexps") are a concise notation for such operations, borrowed from the functional programming language Haskell (https://www.haskell.org/). You can strip all the whitespace from a stream of strings with the following code:: >>> line_list = [' line 1\n', 'line 2 \n', ' \n', ''] >>> # Generator expression -- returns iterator >>> stripped_iter = (line.strip() for line in line_list) >>> # List comprehension -- returns list >>> stripped_list = [line.strip() for line in line_list] You can select only certain elements by adding an ``"if"`` condition:: >>> stripped_list = [line.strip() for line in line_list ... if line != ""] With a list comprehension, you get back a Python list; ``stripped_list`` is a list containing the resulting lines, not an iterator. Generator expressions return an iterator that computes the values as necessary, not needing to materialize all the values at once. This means that list comprehensions aren't useful if you're working with iterators that return an infinite stream or a very large amount of data. Generator expressions are preferable in these situations. Generator expressions are surrounded by parentheses ("()") and list comprehensions are surrounded by square brackets ("[]"). Generator expressions have the form:: ( expression for expr in sequence1 if condition1 for expr2 in sequence2 if condition2 for expr3 in sequence3 ... if condition3 for exprN in sequenceN if conditionN ) Again, for a list comprehension only the outside brackets are different (square brackets instead of parentheses). The elements of the generated output will be the successive values of ``expression``. The ``if`` clauses are all optional; if present, ``expression`` is only evaluated and added to the result when ``condition`` is true. Generator expressions always have to be written inside parentheses, but the parentheses signalling a function call also count. If you want to create an iterator that will be immediately passed to a function you can write:: obj_total = sum(obj.count for obj in list_all_objects()) The ``for...in`` clauses contain the sequences to be iterated over. The sequences do not have to be the same length, because they are iterated over from left to right, **not** in parallel. For each element in ``sequence1``, ``sequence2`` is looped over from the beginning. ``sequence3`` is then looped over for each resulting pair of elements from ``sequence1`` and ``sequence2``. To put it another way, a list comprehension or generator expression is equivalent to the following Python code:: for expr1 in sequence1: if not (condition1): continue # Skip this element for expr2 in sequence2: if not (condition2): continue # Skip this element ... for exprN in sequenceN: if not (conditionN): continue # Skip this element # Output the value of # the expression. This means that when there are multiple ``for...in`` clauses but no ``if`` clauses, the length of the resulting output will be equal to the product of the lengths of all the sequences. If you have two lists of length 3, the output list is 9 elements long: >>> seq1 = 'abc' >>> seq2 = (1, 2, 3) >>> [(x, y) for x in seq1 for y in seq2] #doctest: +NORMALIZE_WHITESPACE [('a', 1), ('a', 2), ('a', 3), ('b', 1), ('b', 2), ('b', 3), ('c', 1), ('c', 2), ('c', 3)] To avoid introducing an ambiguity into Python's grammar, if ``expression`` is creating a tuple, it must be surrounded with parentheses. The first list comprehension below is a syntax error, while the second one is correct:: # Syntax error [x, y for x in seq1 for y in seq2] # Correct [(x, y) for x in seq1 for y in seq2] Generators ========== Generators are a special class of functions that simplify the task of writing iterators. Regular functions compute a value and return it, but generators return an iterator that returns a stream of values. You're doubtless familiar with how regular function calls work in Python or C. When you call a function, it gets a private namespace where its local variables are created. When the function reaches a ``return`` statement, the local variables are destroyed and the value is returned to the caller. A later call to the same function creates a new private namespace and a fresh set of local variables. But, what if the local variables weren't thrown away on exiting a function? What if you could later resume the function where it left off? This is what generators provide; they can be thought of as resumable functions. Here's the simplest example of a generator function: >>> def generate_ints(N): ... for i in range(N): ... yield i Any function containing a :keyword:`yield` keyword is a generator function; this is detected by Python's :term:`bytecode` compiler which compiles the function specially as a result. When you call a generator function, it doesn't return a single value; instead it returns a generator object that supports the iterator protocol. On executing the ``yield`` expression, the generator outputs the value of ``i``, similar to a ``return`` statement. The big difference between ``yield`` and a ``return`` statement is that on reaching a ``yield`` the generator's state of execution is suspended and local variables are preserved. On the next call to the generator's :meth:`~generator.__next__` method, the function will resume executing. Here's a sample usage of the ``generate_ints()`` generator: >>> gen = generate_ints(3) >>> gen #doctest: +ELLIPSIS >>> next(gen) 0 >>> next(gen) 1 >>> next(gen) 2 >>> next(gen) Traceback (most recent call last): File "stdin", line 1, in File "stdin", line 2, in generate_ints StopIteration You could equally write ``for i in generate_ints(5)``, or ``a, b, c = generate_ints(3)``. Inside a generator function, ``return value`` causes ``StopIteration(value)`` to be raised from the :meth:`~generator.__next__` method. Once this happens, or the bottom of the function is reached, the procession of values ends and the generator cannot yield any further values. You could achieve the effect of generators manually by writing your own class and storing all the local variables of the generator as instance variables. For example, returning a list of integers could be done by setting ``self.count`` to 0, and having the :meth:`~iterator.__next__` method increment ``self.count`` and return it. However, for a moderately complicated generator, writing a corresponding class can be much messier. The test suite included with Python's library, :source:`Lib/test/test_generators.py`, contains a number of more interesting examples. Here's one generator that implements an in-order traversal of a tree using generators recursively. :: # A recursive generator that generates Tree leaves in in-order. def inorder(t): if t: for x in inorder(t.left): yield x yield t.label for x in inorder(t.right): yield x Two other examples in ``test_generators.py`` produce solutions for the N-Queens problem (placing N queens on an NxN chess board so that no queen threatens another) and the Knight's Tour (finding a route that takes a knight to every square of an NxN chessboard without visiting any square twice). Passing values into a generator ------------------------------- In Python 2.4 and earlier, generators only produced output. Once a generator's code was invoked to create an iterator, there was no way to pass any new information into the function when its execution is resumed. You could hack together this ability by making the generator look at a global variable or by passing in some mutable object that callers then modify, but these approaches are messy. In Python 2.5 there's a simple way to pass values into a generator. :keyword:`yield` became an expression, returning a value that can be assigned to a variable or otherwise operated on:: val = (yield i) I recommend that you **always** put parentheses around a ``yield`` expression when you're doing something with the returned value, as in the above example. The parentheses aren't always necessary, but it's easier to always add them instead of having to remember when they're needed. (:pep:`342` explains the exact rules, which are that a ``yield``-expression must always be parenthesized except when it occurs at the top-level expression on the right-hand side of an assignment. This means you can write ``val = yield i`` but have to use parentheses when there's an operation, as in ``val = (yield i) + 12``.) Values are sent into a generator by calling its :meth:`send(value) ` method. This method resumes the generator's code and the ``yield`` expression returns the specified value. If the regular :meth:`~generator.__next__` method is called, the ``yield`` returns ``None``. Here's a simple counter that increments by 1 and allows changing the value of the internal counter. .. testcode:: def counter(maximum): i = 0 while i < maximum: val = (yield i) # If value provided, change counter if val is not None: i = val else: i += 1 And here's an example of changing the counter: >>> it = counter(10) #doctest: +SKIP >>> next(it) #doctest: +SKIP 0 >>> next(it) #doctest: +SKIP 1 >>> it.send(8) #doctest: +SKIP 8 >>> next(it) #doctest: +SKIP 9 >>> next(it) #doctest: +SKIP Traceback (most recent call last): File "t.py", line 15, in it.next() StopIteration Because ``yield`` will often be returning ``None``, you should always check for this case. Don't just use its value in expressions unless you're sure that the :meth:`~generator.send` method will be the only method used to resume your generator function. In addition to :meth:`~generator.send`, there are two other methods on generators: * :meth:`throw(value) ` is used to raise an exception inside the generator; the exception is raised by the ``yield`` expression where the generator's execution is paused. * :meth:`~generator.close` raises a :exc:`GeneratorExit` exception inside the generator to terminate the iteration. On receiving this exception, the generator's code must either raise :exc:`GeneratorExit` or :exc:`StopIteration`; catching the exception and doing anything else is illegal and will trigger a :exc:`RuntimeError`. :meth:`~generator.close` will also be called by Python's garbage collector when the generator is garbage-collected. If you need to run cleanup code when a :exc:`GeneratorExit` occurs, I suggest using a ``try: ... finally:`` suite instead of catching :exc:`GeneratorExit`. The cumulative effect of these changes is to turn generators from one-way producers of information into both producers and consumers. Generators also become **coroutines**, a more generalized form of subroutines. Subroutines are entered at one point and exited at another point (the top of the function, and a ``return`` statement), but coroutines can be entered, exited, and resumed at many different points (the ``yield`` statements). Built-in functions ================== Let's look in more detail at built-in functions often used with iterators. Two of Python's built-in functions, :func:`map` and :func:`filter` duplicate the features of generator expressions: :func:`map(f, iterA, iterB, ...) ` returns an iterator over the sequence ``f(iterA[0], iterB[0]), f(iterA[1], iterB[1]), f(iterA[2], iterB[2]), ...``. >>> def upper(s): ... return s.upper() >>> list(map(upper, ['sentence', 'fragment'])) ['SENTENCE', 'FRAGMENT'] >>> [upper(s) for s in ['sentence', 'fragment']] ['SENTENCE', 'FRAGMENT'] You can of course achieve the same effect with a list comprehension. :func:`filter(predicate, iter) ` returns an iterator over all the sequence elements that meet a certain condition, and is similarly duplicated by list comprehensions. A **predicate** is a function that returns the truth value of some condition; for use with :func:`filter`, the predicate must take a single value. >>> def is_even(x): ... return (x % 2) == 0 >>> list(filter(is_even, range(10))) [0, 2, 4, 6, 8] This can also be written as a list comprehension: >>> list(x for x in range(10) if is_even(x)) [0, 2, 4, 6, 8] :func:`enumerate(iter, start=0) ` counts off the elements in the iterable returning 2-tuples containing the count (from *start*) and each element. :: >>> for item in enumerate(['subject', 'verb', 'object']): ... print(item) (0, 'subject') (1, 'verb') (2, 'object') :func:`enumerate` is often used when looping through a list and recording the indexes at which certain conditions are met:: f = open('data.txt', 'r') for i, line in enumerate(f): if line.strip() == '': print('Blank line at line #%i' % i) :func:`sorted(iterable, key=None, reverse=False) ` collects all the elements of the iterable into a list, sorts the list, and returns the sorted result. The *key* and *reverse* arguments are passed through to the constructed list's :meth:`~list.sort` method. :: >>> import random >>> # Generate 8 random numbers between [0, 10000) >>> rand_list = random.sample(range(10000), 8) >>> rand_list #doctest: +SKIP [769, 7953, 9828, 6431, 8442, 9878, 6213, 2207] >>> sorted(rand_list) #doctest: +SKIP [769, 2207, 6213, 6431, 7953, 8442, 9828, 9878] >>> sorted(rand_list, reverse=True) #doctest: +SKIP [9878, 9828, 8442, 7953, 6431, 6213, 2207, 769] (For a more detailed discussion of sorting, see the :ref:`sortinghowto`.) The :func:`any(iter) ` and :func:`all(iter) ` built-ins look at the truth values of an iterable's contents. :func:`any` returns ``True`` if any element in the iterable is a true value, and :func:`all` returns ``True`` if all of the elements are true values: >>> any([0, 1, 0]) True >>> any([0, 0, 0]) False >>> any([1, 1, 1]) True >>> all([0, 1, 0]) False >>> all([0, 0, 0]) False >>> all([1, 1, 1]) True :func:`zip(iterA, iterB, ...) ` takes one element from each iterable and returns them in a tuple:: zip(['a', 'b', 'c'], (1, 2, 3)) => ('a', 1), ('b', 2), ('c', 3) It doesn't construct an in-memory list and exhaust all the input iterators before returning; instead tuples are constructed and returned only if they're requested. (The technical term for this behaviour is `lazy evaluation `__.) This iterator is intended to be used with iterables that are all of the same length. If the iterables are of different lengths, the resulting stream will be the same length as the shortest iterable. :: zip(['a', 'b'], (1, 2, 3)) => ('a', 1), ('b', 2) You should avoid doing this, though, because an element may be taken from the longer iterators and discarded. This means you can't go on to use the iterators further because you risk skipping a discarded element. The itertools module ==================== The :mod:`itertools` module contains a number of commonly used iterators as well as functions for combining several iterators. This section will introduce the module's contents by showing small examples. The module's functions fall into a few broad classes: * Functions that create a new iterator based on an existing iterator. * Functions for treating an iterator's elements as function arguments. * Functions for selecting portions of an iterator's output. * A function for grouping an iterator's output. Creating new iterators ---------------------- :func:`itertools.count(start, step) ` returns an infinite stream of evenly spaced values. You can optionally supply the starting number, which defaults to 0, and the interval between numbers, which defaults to 1:: itertools.count() => 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, ... itertools.count(10) => 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, ... itertools.count(10, 5) => 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, ... :func:`itertools.cycle(iter) ` saves a copy of the contents of a provided iterable and returns a new iterator that returns its elements from first to last. The new iterator will repeat these elements infinitely. :: itertools.cycle([1, 2, 3, 4, 5]) => 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, ... :func:`itertools.repeat(elem, [n]) ` returns the provided element *n* times, or returns the element endlessly if *n* is not provided. :: itertools.repeat('abc') => abc, abc, abc, abc, abc, abc, abc, abc, abc, abc, ... itertools.repeat('abc', 5) => abc, abc, abc, abc, abc :func:`itertools.chain(iterA, iterB, ...) ` takes an arbitrary number of iterables as input, and returns all the elements of the first iterator, then all the elements of the second, and so on, until all of the iterables have been exhausted. :: itertools.chain(['a', 'b', 'c'], (1, 2, 3)) => a, b, c, 1, 2, 3 :func:`itertools.islice(iter, [start], stop, [step]) ` returns a stream that's a slice of the iterator. With a single *stop* argument, it will return the first *stop* elements. If you supply a starting index, you'll get *stop-start* elements, and if you supply a value for *step*, elements will be skipped accordingly. Unlike Python's string and list slicing, you can't use negative values for *start*, *stop*, or *step*. :: itertools.islice(range(10), 8) => 0, 1, 2, 3, 4, 5, 6, 7 itertools.islice(range(10), 2, 8) => 2, 3, 4, 5, 6, 7 itertools.islice(range(10), 2, 8, 2) => 2, 4, 6 :func:`itertools.tee(iter, [n]) ` replicates an iterator; it returns *n* independent iterators that will all return the contents of the source iterator. If you don't supply a value for *n*, the default is 2. Replicating iterators requires saving some of the contents of the source iterator, so this can consume significant memory if the iterator is large and one of the new iterators is consumed more than the others. :: itertools.tee( itertools.count() ) => iterA, iterB where iterA -> 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, ... and iterB -> 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, ... Calling functions on elements ----------------------------- The :mod:`operator` module contains a set of functions corresponding to Python's operators. Some examples are :func:`operator.add(a, b) ` (adds two values), :func:`operator.ne(a, b) ` (same as ``a != b``), and :func:`operator.attrgetter('id') ` (returns a callable that fetches the ``.id`` attribute). :func:`itertools.starmap(func, iter) ` assumes that the iterable will return a stream of tuples, and calls *func* using these tuples as the arguments:: itertools.starmap(os.path.join, [('/bin', 'python'), ('/usr', 'bin', 'java'), ('/usr', 'bin', 'perl'), ('/usr', 'bin', 'ruby')]) => /bin/python, /usr/bin/java, /usr/bin/perl, /usr/bin/ruby Selecting elements ------------------ Another group of functions chooses a subset of an iterator's elements based on a predicate. :func:`itertools.filterfalse(predicate, iter) ` is the opposite of :func:`filter`, returning all elements for which the predicate returns false:: itertools.filterfalse(is_even, itertools.count()) => 1, 3, 5, 7, 9, 11, 13, 15, ... :func:`itertools.takewhile(predicate, iter) ` returns elements for as long as the predicate returns true. Once the predicate returns false, the iterator will signal the end of its results. :: def less_than_10(x): return x < 10 itertools.takewhile(less_than_10, itertools.count()) => 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 itertools.takewhile(is_even, itertools.count()) => 0 :func:`itertools.dropwhile(predicate, iter) ` discards elements while the predicate returns true, and then returns the rest of the iterable's results. :: itertools.dropwhile(less_than_10, itertools.count()) => 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, ... itertools.dropwhile(is_even, itertools.count()) => 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, ... :func:`itertools.compress(data, selectors) ` takes two iterators and returns only those elements of *data* for which the corresponding element of *selectors* is true, stopping whenever either one is exhausted:: itertools.compress([1, 2, 3, 4, 5], [True, True, False, False, True]) => 1, 2, 5 Combinatoric functions ---------------------- The :func:`itertools.combinations(iterable, r) ` returns an iterator giving all possible *r*-tuple combinations of the elements contained in *iterable*. :: itertools.combinations([1, 2, 3, 4, 5], 2) => (1, 2), (1, 3), (1, 4), (1, 5), (2, 3), (2, 4), (2, 5), (3, 4), (3, 5), (4, 5) itertools.combinations([1, 2, 3, 4, 5], 3) => (1, 2, 3), (1, 2, 4), (1, 2, 5), (1, 3, 4), (1, 3, 5), (1, 4, 5), (2, 3, 4), (2, 3, 5), (2, 4, 5), (3, 4, 5) The elements within each tuple remain in the same order as *iterable* returned them. For example, the number 1 is always before 2, 3, 4, or 5 in the examples above. A similar function, :func:`itertools.permutations(iterable, r=None) `, removes this constraint on the order, returning all possible arrangements of length *r*:: itertools.permutations([1, 2, 3, 4, 5], 2) => (1, 2), (1, 3), (1, 4), (1, 5), (2, 1), (2, 3), (2, 4), (2, 5), (3, 1), (3, 2), (3, 4), (3, 5), (4, 1), (4, 2), (4, 3), (4, 5), (5, 1), (5, 2), (5, 3), (5, 4) itertools.permutations([1, 2, 3, 4, 5]) => (1, 2, 3, 4, 5), (1, 2, 3, 5, 4), (1, 2, 4, 3, 5), ... (5, 4, 3, 2, 1) If you don't supply a value for *r* the length of the iterable is used, meaning that all the elements are permuted. Note that these functions produce all of the possible combinations by position and don't require that the contents of *iterable* are unique:: itertools.permutations('aba', 3) => ('a', 'b', 'a'), ('a', 'a', 'b'), ('b', 'a', 'a'), ('b', 'a', 'a'), ('a', 'a', 'b'), ('a', 'b', 'a') The identical tuple ``('a', 'a', 'b')`` occurs twice, but the two 'a' strings came from different positions. The :func:`itertools.combinations_with_replacement(iterable, r) ` function relaxes a different constraint: elements can be repeated within a single tuple. Conceptually an element is selected for the first position of each tuple and then is replaced before the second element is selected. :: itertools.combinations_with_replacement([1, 2, 3, 4, 5], 2) => (1, 1), (1, 2), (1, 3), (1, 4), (1, 5), (2, 2), (2, 3), (2, 4), (2, 5), (3, 3), (3, 4), (3, 5), (4, 4), (4, 5), (5, 5) Grouping elements ----------------- The last function I'll discuss, :func:`itertools.groupby(iter, key_func=None) `, is the most complicated. ``key_func(elem)`` is a function that can compute a key value for each element returned by the iterable. If you don't supply a key function, the key is simply each element itself. :func:`~itertools.groupby` collects all the consecutive elements from the underlying iterable that have the same key value, and returns a stream of 2-tuples containing a key value and an iterator for the elements with that key. :: city_list = [('Decatur', 'AL'), ('Huntsville', 'AL'), ('Selma', 'AL'), ('Anchorage', 'AK'), ('Nome', 'AK'), ('Flagstaff', 'AZ'), ('Phoenix', 'AZ'), ('Tucson', 'AZ'), ... ] def get_state(city_state): return city_state[1] itertools.groupby(city_list, get_state) => ('AL', iterator-1), ('AK', iterator-2), ('AZ', iterator-3), ... where iterator-1 => ('Decatur', 'AL'), ('Huntsville', 'AL'), ('Selma', 'AL') iterator-2 => ('Anchorage', 'AK'), ('Nome', 'AK') iterator-3 => ('Flagstaff', 'AZ'), ('Phoenix', 'AZ'), ('Tucson', 'AZ') :func:`~itertools.groupby` assumes that the underlying iterable's contents will already be sorted based on the key. Note that the returned iterators also use the underlying iterable, so you have to consume the results of iterator-1 before requesting iterator-2 and its corresponding key. The functools module ==================== The :mod:`functools` module contains some higher-order functions. A **higher-order function** takes one or more functions as input and returns a new function. The most useful tool in this module is the :func:`functools.partial` function. For programs written in a functional style, you'll sometimes want to construct variants of existing functions that have some of the parameters filled in. Consider a Python function ``f(a, b, c)``; you may wish to create a new function ``g(b, c)`` that's equivalent to ``f(1, b, c)``; you're filling in a value for one of ``f()``'s parameters. This is called "partial function application". The constructor for :func:`~functools.partial` takes the arguments ``(function, arg1, arg2, ..., kwarg1=value1, kwarg2=value2)``. The resulting object is callable, so you can just call it to invoke ``function`` with the filled-in arguments. Here's a small but realistic example:: import functools def log(message, subsystem): """Write the contents of 'message' to the specified subsystem.""" print('%s: %s' % (subsystem, message)) ... server_log = functools.partial(log, subsystem='server') server_log('Unable to open socket') :func:`functools.reduce(func, iter, [initial_value]) ` cumulatively performs an operation on all the iterable's elements and, therefore, can't be applied to infinite iterables. *func* must be a function that takes two elements and returns a single value. :func:`functools.reduce` takes the first two elements A and B returned by the iterator and calculates ``func(A, B)``. It then requests the third element, C, calculates ``func(func(A, B), C)``, combines this result with the fourth element returned, and continues until the iterable is exhausted. If the iterable returns no values at all, a :exc:`TypeError` exception is raised. If the initial value is supplied, it's used as a starting point and ``func(initial_value, A)`` is the first calculation. :: >>> import operator, functools >>> functools.reduce(operator.concat, ['A', 'BB', 'C']) 'ABBC' >>> functools.reduce(operator.concat, []) Traceback (most recent call last): ... TypeError: reduce() of empty sequence with no initial value >>> functools.reduce(operator.mul, [1, 2, 3], 1) 6 >>> functools.reduce(operator.mul, [], 1) 1 If you use :func:`operator.add` with :func:`functools.reduce`, you'll add up all the elements of the iterable. This case is so common that there's a special built-in called :func:`sum` to compute it: >>> import functools, operator >>> functools.reduce(operator.add, [1, 2, 3, 4], 0) 10 >>> sum([1, 2, 3, 4]) 10 >>> sum([]) 0 For many uses of :func:`functools.reduce`, though, it can be clearer to just write the obvious :keyword:`for` loop:: import functools # Instead of: product = functools.reduce(operator.mul, [1, 2, 3], 1) # You can write: product = 1 for i in [1, 2, 3]: product *= i A related function is :func:`itertools.accumulate(iterable, func=operator.add) `. It performs the same calculation, but instead of returning only the final result, :func:`~itertools.accumulate` returns an iterator that also yields each partial result:: itertools.accumulate([1, 2, 3, 4, 5]) => 1, 3, 6, 10, 15 itertools.accumulate([1, 2, 3, 4, 5], operator.mul) => 1, 2, 6, 24, 120 The operator module ------------------- The :mod:`operator` module was mentioned earlier. It contains a set of functions corresponding to Python's operators. These functions are often useful in functional-style code because they save you from writing trivial functions that perform a single operation. Some of the functions in this module are: * Math operations: ``add()``, ``sub()``, ``mul()``, ``floordiv()``, ``abs()``, ... * Logical operations: ``not_()``, ``truth()``. * Bitwise operations: ``and_()``, ``or_()``, ``invert()``. * Comparisons: ``eq()``, ``ne()``, ``lt()``, ``le()``, ``gt()``, and ``ge()``. * Object identity: ``is_()``, ``is_not()``. Consult the operator module's documentation for a complete list. Small functions and the lambda expression ========================================= When writing functional-style programs, you'll often need little functions that act as predicates or that combine elements in some way. If there's a Python built-in or a module function that's suitable, you don't need to define a new function at all:: stripped_lines = [line.strip() for line in lines] existing_files = filter(os.path.exists, file_list) If the function you need doesn't exist, you need to write it. One way to write small functions is to use the :keyword:`lambda` expression. ``lambda`` takes a number of parameters and an expression combining these parameters, and creates an anonymous function that returns the value of the expression:: adder = lambda x, y: x+y print_assign = lambda name, value: name + '=' + str(value) An alternative is to just use the ``def`` statement and define a function in the usual way:: def adder(x, y): return x + y def print_assign(name, value): return name + '=' + str(value) Which alternative is preferable? That's a style question; my usual course is to avoid using ``lambda``. One reason for my preference is that ``lambda`` is quite limited in the functions it can define. The result has to be computable as a single expression, which means you can't have multiway ``if... elif... else`` comparisons or ``try... except`` statements. If you try to do too much in a ``lambda`` statement, you'll end up with an overly complicated expression that's hard to read. Quick, what's the following code doing? :: import functools total = functools.reduce(lambda a, b: (0, a[1] + b[1]), items)[1] You can figure it out, but it takes time to disentangle the expression to figure out what's going on. Using a short nested ``def`` statements makes things a little bit better:: import functools def combine(a, b): return 0, a[1] + b[1] total = functools.reduce(combine, items)[1] But it would be best of all if I had simply used a ``for`` loop:: total = 0 for a, b in items: total += b Or the :func:`sum` built-in and a generator expression:: total = sum(b for a, b in items) Many uses of :func:`functools.reduce` are clearer when written as ``for`` loops. Fredrik Lundh once suggested the following set of rules for refactoring uses of ``lambda``: 1. Write a lambda function. 2. Write a comment explaining what the heck that lambda does. 3. Study the comment for a while, and think of a name that captures the essence of the comment. 4. Convert the lambda to a def statement, using that name. 5. Remove the comment. I really like these rules, but you're free to disagree about whether this lambda-free style is better. Revision History and Acknowledgements ===================================== The author would like to thank the following people for offering suggestions, corrections and assistance with various drafts of this article: Ian Bicking, Nick Coghlan, Nick Efford, Raymond Hettinger, Jim Jewett, Mike Krell, Leandro Lameiro, Jussi Salmela, Collin Winter, Blake Winton. Version 0.1: posted June 30 2006. Version 0.11: posted July 1 2006. Typo fixes. Version 0.2: posted July 10 2006. Merged genexp and listcomp sections into one. Typo fixes. Version 0.21: Added more references suggested on the tutor mailing list. Version 0.30: Adds a section on the ``functional`` module written by Collin Winter; adds short section on the operator module; a few other edits. References ========== General ------- **Structure and Interpretation of Computer Programs**, by Harold Abelson and Gerald Jay Sussman with Julie Sussman. The book can be found at https://mitpress.mit.edu/sicp. In this classic textbook of computer science, chapters 2 and 3 discuss the use of sequences and streams to organize the data flow inside a program. The book uses Scheme for its examples, but many of the design approaches described in these chapters are applicable to functional-style Python code. https://www.defmacro.org/ramblings/fp.html: A general introduction to functional programming that uses Java examples and has a lengthy historical introduction. https://en.wikipedia.org/wiki/Functional_programming: General Wikipedia entry describing functional programming. https://en.wikipedia.org/wiki/Coroutine: Entry for coroutines. https://en.wikipedia.org/wiki/Partial_application: Entry for the concept of partial function application. https://en.wikipedia.org/wiki/Currying: Entry for the concept of currying. Python-specific --------------- https://gnosis.cx/TPiP/: The first chapter of David Mertz's book :title-reference:`Text Processing in Python` discusses functional programming for text processing, in the section titled "Utilizing Higher-Order Functions in Text Processing". Mertz also wrote a 3-part series of articles on functional programming for IBM's DeveloperWorks site; see `part 1 `__, `part 2 `__, and `part 3 `__, Python documentation -------------------- Documentation for the :mod:`itertools` module. Documentation for the :mod:`functools` module. Documentation for the :mod:`operator` module. :pep:`289`: "Generator Expressions" :pep:`342`: "Coroutines via Enhanced Generators" describes the new generator features in Python 2.5. .. comment Handy little function for printing part of an iterator -- used while writing this document. import itertools def print_iter(it): slice = itertools.islice(it, 10) for elem in slice[:-1]: sys.stdout.write(str(elem)) sys.stdout.write(', ') print(elem[-1]) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/data/Doc/howto/gdb_helpers.rst000066400000000000000000000561401514162565100332400ustar00rootroot00000000000000.. _gdb: ========================================================= Debugging C API extensions and CPython Internals with GDB ========================================================= .. highlight:: none This document explains how the Python GDB extension, ``python-gdb.py``, can be used with the GDB debugger to debug CPython extensions and the CPython interpreter itself. When debugging low-level problems such as crashes or deadlocks, a low-level debugger, such as GDB, is useful to diagnose and correct the issue. By default, GDB (or any of its front-ends) doesn't support high-level information specific to the CPython interpreter. The ``python-gdb.py`` extension adds CPython interpreter information to GDB. The extension helps introspect the stack of currently executing Python functions. Given a Python object represented by a :c:expr:`PyObject *` pointer, the extension surfaces the type and value of the object. Developers who are working on CPython extensions or tinkering with parts of CPython that are written in C can use this document to learn how to use the ``python-gdb.py`` extension with GDB. .. note:: This document assumes that you are familiar with the basics of GDB and the CPython C API. It consolidates guidance from the `devguide `_ and the `Python wiki `_. Prerequisites ============= You need to have: - GDB 7 or later. (For earlier versions of GDB, see ``Misc/gdbinit`` in the sources of Python 3.11 or earlier.) - GDB-compatible debugging information for Python and any extension you are debugging. - The ``python-gdb.py`` extension. The extension is built with Python, but might be distributed separately or not at all. Below, we include tips for a few common systems as examples. Note that even if the instructions match your system, they might be outdated. Setup with Python built from source ----------------------------------- When you build CPython from source, debugging information should be available, and the build should add a ``python-gdb.py`` file to the root directory of your repository. To activate support, you must add the directory containing ``python-gdb.py`` to GDB's "auto-load-safe-path". If you haven't done this, recent versions of GDB will print out a warning with instructions on how to do this. .. note:: If you do not see instructions for your version of GDB, put this in your configuration file (``~/.gdbinit`` or ``~/.config/gdb/gdbinit``):: add-auto-load-safe-path /path/to/cpython You can also add multiple paths, separated by ``:``. Setup for Python from a Linux distro ------------------------------------ Most Linux systems provide debug information for the system Python in a package called ``python-debuginfo``, ``python-dbg`` or similar. For example: - Fedora: .. code-block:: shell sudo dnf install gdb sudo dnf debuginfo-install python3 - Ubuntu: .. code-block:: shell sudo apt install gdb python3-dbg On several recent Linux systems, GDB can download debugging symbols automatically using *debuginfod*. However, this will not install the ``python-gdb.py`` extension; you generally do need to install the debug info package separately. Using the Debug build and Development mode ========================================== For easier debugging, you might want to: - Use a :ref:`debug build ` of Python. (When building from source, use ``configure --with-pydebug``. On Linux distros, install and run a package like ``python-debug`` or ``python-dbg``, if available.) - Use the runtime :ref:`development mode ` (``-X dev``). Both enable extra assertions and disable some optimizations. Sometimes this hides the bug you are trying to find, but in most cases they make the process easier. Using the ``python-gdb`` extension ================================== When the extension is loaded, it provides two main features: pretty printers for Python values, and additional commands. Pretty-printers --------------- This is what a GDB backtrace looks like (truncated) when this extension is enabled:: #0 0x000000000041a6b1 in PyObject_Malloc (nbytes=Cannot access memory at address 0x7fffff7fefe8 ) at Objects/obmalloc.c:748 #1 0x000000000041b7c0 in _PyObject_DebugMallocApi (id=111 'o', nbytes=24) at Objects/obmalloc.c:1445 #2 0x000000000041b717 in _PyObject_DebugMalloc (nbytes=24) at Objects/obmalloc.c:1412 #3 0x000000000044060a in _PyUnicode_New (length=11) at Objects/unicodeobject.c:346 #4 0x00000000004466aa in PyUnicodeUCS2_DecodeUTF8Stateful (s=0x5c2b8d "__lltrace__", size=11, errors=0x0, consumed= 0x0) at Objects/unicodeobject.c:2531 #5 0x0000000000446647 in PyUnicodeUCS2_DecodeUTF8 (s=0x5c2b8d "__lltrace__", size=11, errors=0x0) at Objects/unicodeobject.c:2495 #6 0x0000000000440d1b in PyUnicodeUCS2_FromStringAndSize (u=0x5c2b8d "__lltrace__", size=11) at Objects/unicodeobject.c:551 #7 0x0000000000440d94 in PyUnicodeUCS2_FromString (u=0x5c2b8d "__lltrace__") at Objects/unicodeobject.c:569 #8 0x0000000000584abd in PyDict_GetItemString (v= {'Yuck': , '__builtins__': , '__file__': 'Lib/test/crashers/nasty_eq_vs_dict.py', '__package__': None, 'y': , 'dict': {0: 0, 1: 1, 2: 2, 3: 3}, '__cached__': None, '__name__': '__main__', 'z': , '__doc__': None}, key= 0x5c2b8d "__lltrace__") at Objects/dictobject.c:2171 Notice how the dictionary argument to ``PyDict_GetItemString`` is displayed as its ``repr()``, rather than an opaque ``PyObject *`` pointer. The extension works by supplying a custom printing routine for values of type ``PyObject *``. If you need to access lower-level details of an object, then cast the value to a pointer of the appropriate type. For example:: (gdb) p globals $1 = {'__builtins__': , '__name__': '__main__', 'ctypes': , '__doc__': None, '__package__': None} (gdb) p *(PyDictObject*)globals $2 = {ob_refcnt = 3, ob_type = 0x3dbdf85820, ma_fill = 5, ma_used = 5, ma_mask = 7, ma_table = 0x63d0f8, ma_lookup = 0x3dbdc7ea70 , ma_smalltable = {{me_hash = 7065186196740147912, me_key = '__builtins__', me_value = }, {me_hash = -368181376027291943, me_key = '__name__', me_value ='__main__'}, {me_hash = 0, me_key = 0x0, me_value = 0x0}, {me_hash = 0, me_key = 0x0, me_value = 0x0}, {me_hash = -9177857982131165996, me_key = 'ctypes', me_value = }, {me_hash = -8518757509529533123, me_key = '__doc__', me_value = None}, {me_hash = 0, me_key = 0x0, me_value = 0x0}, { me_hash = 6614918939584953775, me_key = '__package__', me_value = None}}} Note that the pretty-printers do not actually call ``repr()``. For basic types, they try to match its result closely. An area that can be confusing is that the custom printer for some types look a lot like GDB's built-in printer for standard types. For example, the pretty-printer for a Python ``int`` (:c:expr:`PyLongObject *`) gives a representation that is not distinguishable from one of a regular machine-level integer:: (gdb) p some_machine_integer $3 = 42 (gdb) p some_python_integer $4 = 42 The internal structure can be revealed with a cast to :c:expr:`PyLongObject *`: (gdb) p *(PyLongObject*)some_python_integer $5 = {ob_base = {ob_base = {ob_refcnt = 8, ob_type = 0x3dad39f5e0}, ob_size = 1}, ob_digit = {42}} A similar confusion can arise with the ``str`` type, where the output looks a lot like gdb's built-in printer for ``char *``:: (gdb) p ptr_to_python_str $6 = '__builtins__' The pretty-printer for ``str`` instances defaults to using single-quotes (as does Python's ``repr`` for strings) whereas the standard printer for ``char *`` values uses double-quotes and contains a hexadecimal address:: (gdb) p ptr_to_char_star $7 = 0x6d72c0 "hello world" Again, the implementation details can be revealed with a cast to :c:expr:`PyUnicodeObject *`:: (gdb) p *(PyUnicodeObject*)$6 $8 = {ob_base = {ob_refcnt = 33, ob_type = 0x3dad3a95a0}, length = 12, str = 0x7ffff2128500, hash = 7065186196740147912, state = 1, defenc = 0x0} ``py-list`` ----------- The extension adds a ``py-list`` command, which lists the Python source code (if any) for the current frame in the selected thread. The current line is marked with a ">":: (gdb) py-list 901 if options.profile: 902 options.profile = False 903 profile_me() 904 return 905 >906 u = UI() 907 if not u.quit: 908 try: 909 gtk.main() 910 except KeyboardInterrupt: 911 # properly quit on a keyboard interrupt... Use ``py-list START`` to list at a different line number within the Python source, and ``py-list START,END`` to list a specific range of lines within the Python source. ``py-up`` and ``py-down`` ------------------------- The ``py-up`` and ``py-down`` commands are analogous to GDB's regular ``up`` and ``down`` commands, but try to move at the level of CPython frames, rather than C frames. GDB is not always able to read the relevant frame information, depending on the optimization level with which CPython was compiled. Internally, the commands look for C frames that are executing the default frame evaluation function (that is, the core bytecode interpreter loop within CPython) and look up the value of the related ``PyFrameObject *``. They emit the frame number (at the C level) within the thread. For example:: (gdb) py-up #37 Frame 0x9420b04, for file /usr/lib/python2.6/site-packages/ gnome_sudoku/main.py, line 906, in start_game () u = UI() (gdb) py-up #40 Frame 0x948e82c, for file /usr/lib/python2.6/site-packages/ gnome_sudoku/gnome_sudoku.py, line 22, in start_game(main=) main.start_game() (gdb) py-up Unable to find an older python frame so we're at the top of the Python stack. The frame numbers correspond to those displayed by GDB's standard ``backtrace`` command. The command skips C frames which are not executing Python code. Going back down:: (gdb) py-down #37 Frame 0x9420b04, for file /usr/lib/python2.6/site-packages/gnome_sudoku/main.py, line 906, in start_game () u = UI() (gdb) py-down #34 (unable to read python frame information) (gdb) py-down #23 (unable to read python frame information) (gdb) py-down #19 (unable to read python frame information) (gdb) py-down #14 Frame 0x99262ac, for file /usr/lib/python2.6/site-packages/gnome_sudoku/game_selector.py, line 201, in run_swallowed_dialog (self=, puzzle=None, saved_games=[{'gsd.auto_fills': 0, 'tracking': {}, 'trackers': {}, 'notes': [], 'saved_at': 1270084485, 'game': '7 8 0 0 0 0 0 5 6 0 0 9 0 8 0 1 0 0 0 4 6 0 0 0 0 7 0 6 5 0 0 0 4 7 9 2 0 0 0 9 0 1 0 0 0 3 9 7 6 0 0 0 1 8 0 6 0 0 0 0 2 8 0 0 0 5 0 4 0 6 0 0 2 1 0 0 0 0 0 4 5\n7 8 0 0 0 0 0 5 6 0 0 9 0 8 0 1 0 0 0 4 6 0 0 0 0 7 0 6 5 1 8 3 4 7 9 2 0 0 0 9 0 1 0 0 0 3 9 7 6 0 0 0 1 8 0 6 0 0 0 0 2 8 0 0 0 5 0 4 0 6 0 0 2 1 0 0 0 0 0 4 5', 'gsd.impossible_hints': 0, 'timer.__absolute_start_time__': , 'gsd.hints': 0, 'timer.active_time': , 'timer.total_time': }], dialog=, saved_game_model=, sudoku_maker=, main_page=0) at remote 0x98fa6e4>, d=) gtk.main() (gdb) py-down #8 (unable to read python frame information) (gdb) py-down Unable to find a newer python frame and we're at the bottom of the Python stack. Note that in Python 3.12 and newer, the same C stack frame can be used for multiple Python stack frames. This means that ``py-up`` and ``py-down`` may move multiple Python frames at once. For example:: (gdb) py-up #6 Frame 0x7ffff7fb62b0, for file /tmp/rec.py, line 5, in recursive_function (n=0) time.sleep(5) #6 Frame 0x7ffff7fb6240, for file /tmp/rec.py, line 7, in recursive_function (n=1) recursive_function(n-1) #6 Frame 0x7ffff7fb61d0, for file /tmp/rec.py, line 7, in recursive_function (n=2) recursive_function(n-1) #6 Frame 0x7ffff7fb6160, for file /tmp/rec.py, line 7, in recursive_function (n=3) recursive_function(n-1) #6 Frame 0x7ffff7fb60f0, for file /tmp/rec.py, line 7, in recursive_function (n=4) recursive_function(n-1) #6 Frame 0x7ffff7fb6080, for file /tmp/rec.py, line 7, in recursive_function (n=5) recursive_function(n-1) #6 Frame 0x7ffff7fb6020, for file /tmp/rec.py, line 9, in () recursive_function(5) (gdb) py-up Unable to find an older python frame ``py-bt`` --------- The ``py-bt`` command attempts to display a Python-level backtrace of the current thread. For example:: (gdb) py-bt #8 (unable to read python frame information) #11 Frame 0x9aead74, for file /usr/lib/python2.6/site-packages/gnome_sudoku/dialog_swallower.py, line 48, in run_dialog (self=, main_page=0) at remote 0x98fa6e4>, d=) gtk.main() #14 Frame 0x99262ac, for file /usr/lib/python2.6/site-packages/gnome_sudoku/game_selector.py, line 201, in run_swallowed_dialog (self=, puzzle=None, saved_games=[{'gsd.auto_fills': 0, 'tracking': {}, 'trackers': {}, 'notes': [], 'saved_at': 1270084485, 'game': '7 8 0 0 0 0 0 5 6 0 0 9 0 8 0 1 0 0 0 4 6 0 0 0 0 7 0 6 5 0 0 0 4 7 9 2 0 0 0 9 0 1 0 0 0 3 9 7 6 0 0 0 1 8 0 6 0 0 0 0 2 8 0 0 0 5 0 4 0 6 0 0 2 1 0 0 0 0 0 4 5\n7 8 0 0 0 0 0 5 6 0 0 9 0 8 0 1 0 0 0 4 6 0 0 0 0 7 0 6 5 1 8 3 4 7 9 2 0 0 0 9 0 1 0 0 0 3 9 7 6 0 0 0 1 8 0 6 0 0 0 0 2 8 0 0 0 5 0 4 0 6 0 0 2 1 0 0 0 0 0 4 5', 'gsd.impossible_hints': 0, 'timer.__absolute_start_time__': , 'gsd.hints': 0, 'timer.active_time': , 'timer.total_time': }], dialog=, saved_game_model=, sudoku_maker=) main.start_game() The frame numbers correspond to those displayed by GDB's standard ``backtrace`` command. ``py-print`` ------------ The ``py-print`` command looks up a Python name and tries to print it. It looks in locals within the current thread, then globals, then finally builtins:: (gdb) py-print self local 'self' = , main_page=0) at remote 0x98fa6e4> (gdb) py-print __name__ global '__name__' = 'gnome_sudoku.dialog_swallower' (gdb) py-print len builtin 'len' = (gdb) py-print scarlet_pimpernel 'scarlet_pimpernel' not found If the current C frame corresponds to multiple Python frames, ``py-print`` only considers the first one. ``py-locals`` ------------- The ``py-locals`` command looks up all Python locals within the current Python frame in the selected thread, and prints their representations:: (gdb) py-locals self = , main_page=0) at remote 0x98fa6e4> d = If the current C frame corresponds to multiple Python frames, locals from all of them will be shown:: (gdb) py-locals Locals for recursive_function n = 0 Locals for recursive_function n = 1 Locals for recursive_function n = 2 Locals for recursive_function n = 3 Locals for recursive_function n = 4 Locals for recursive_function n = 5 Locals for Use with GDB commands ===================== The extension commands complement GDB's built-in commands. For example, you can use a frame numbers shown by ``py-bt`` with the ``frame`` command to go a specific frame within the selected thread, like this:: (gdb) py-bt (output snipped) #68 Frame 0xaa4560, for file Lib/test/regrtest.py, line 1548, in () main() (gdb) frame 68 #68 0x00000000004cd1e6 in PyEval_EvalFrameEx (f=Frame 0xaa4560, for file Lib/test/regrtest.py, line 1548, in (), throwflag=0) at Python/ceval.c:2665 2665 x = call_function(&sp, oparg); (gdb) py-list 1543 # Run the tests in a context manager that temporary changes the CWD to a 1544 # temporary and writable directory. If it's not possible to create or 1545 # change the CWD, the original CWD will be used. The original CWD is 1546 # available from test_support.SAVEDCWD. 1547 with test_support.temp_cwd(TESTCWD, quiet=True): >1548 main() The ``info threads`` command will give you a list of the threads within the process, and you can use the ``thread`` command to select a different one:: (gdb) info threads 105 Thread 0x7fffefa18710 (LWP 10260) sem_wait () at ../nptl/sysdeps/unix/sysv/linux/x86_64/sem_wait.S:86 104 Thread 0x7fffdf5fe710 (LWP 10259) sem_wait () at ../nptl/sysdeps/unix/sysv/linux/x86_64/sem_wait.S:86 * 1 Thread 0x7ffff7fe2700 (LWP 10145) 0x00000038e46d73e3 in select () at ../sysdeps/unix/syscall-template.S:82 You can use ``thread apply all COMMAND`` or (``t a a COMMAND`` for short) to run a command on all threads. With ``py-bt``, this lets you see what every thread is doing at the Python level:: (gdb) t a a py-bt Thread 105 (Thread 0x7fffefa18710 (LWP 10260)): #5 Frame 0x7fffd00019d0, for file /home/david/coding/python-svn/Lib/threading.py, line 155, in _acquire_restore (self=<_RLock(_Verbose__verbose=False, _RLock__owner=140737354016512, _RLock__block=, _RLock__count=1) at remote 0xd7ff40>, count_owner=(1, 140737213728528), count=1, owner=140737213728528) self.__block.acquire() #8 Frame 0x7fffac001640, for file /home/david/coding/python-svn/Lib/threading.py, line 269, in wait (self=<_Condition(_Condition__lock=<_RLock(_Verbose__verbose=False, _RLock__owner=140737354016512, _RLock__block=, _RLock__count=1) at remote 0xd7ff40>, acquire=, _is_owned=, _release_save=, release=, _acquire_restore=, _Verbose__verbose=False, _Condition__waiters=[]) at remote 0xd7fd10>, timeout=None, waiter=, saved_state=(1, 140737213728528)) self._acquire_restore(saved_state) #12 Frame 0x7fffb8001a10, for file /home/david/coding/python-svn/Lib/test/lock_tests.py, line 348, in f () cond.wait() #16 Frame 0x7fffb8001c40, for file /home/david/coding/python-svn/Lib/test/lock_tests.py, line 37, in task (tid=140737213728528) f() Thread 104 (Thread 0x7fffdf5fe710 (LWP 10259)): #5 Frame 0x7fffe4001580, for file /home/david/coding/python-svn/Lib/threading.py, line 155, in _acquire_restore (self=<_RLock(_Verbose__verbose=False, _RLock__owner=140737354016512, _RLock__block=, _RLock__count=1) at remote 0xd7ff40>, count_owner=(1, 140736940992272), count=1, owner=140736940992272) self.__block.acquire() #8 Frame 0x7fffc8002090, for file /home/david/coding/python-svn/Lib/threading.py, line 269, in wait (self=<_Condition(_Condition__lock=<_RLock(_Verbose__verbose=False, _RLock__owner=140737354016512, _RLock__block=, _RLock__count=1) at remote 0xd7ff40>, acquire=, _is_owned=, _release_save=, release=, _acquire_restore=, _Verbose__verbose=False, _Condition__waiters=[]) at remote 0xd7fd10>, timeout=None, waiter=, saved_state=(1, 140736940992272)) self._acquire_restore(saved_state) #12 Frame 0x7fffac001c90, for file /home/david/coding/python-svn/Lib/test/lock_tests.py, line 348, in f () cond.wait() #16 Frame 0x7fffac0011c0, for file /home/david/coding/python-svn/Lib/test/lock_tests.py, line 37, in task (tid=140736940992272) f() Thread 1 (Thread 0x7ffff7fe2700 (LWP 10145)): #5 Frame 0xcb5380, for file /home/david/coding/python-svn/Lib/test/lock_tests.py, line 16, in _wait () time.sleep(0.01) #8 Frame 0x7fffd00024a0, for file /home/david/coding/python-svn/Lib/test/lock_tests.py, line 378, in _check_notify (self=, skipped=[], _mirrorOutput=False, testsRun=39, buffer=False, _original_stderr=, _stdout_buffer=, _stderr_buffer=, _moduleSetUpFailed=False, expectedFailures=[], errors=[], _previousTestClass=, unexpectedSuccesses=[], failures=[], shouldStop=False, failfast=False) at remote 0xc185a0>, _threads=(0,), _cleanups=[], _type_equality_funcs={: , : , : , : , `: .. code-block:: none checking for --with-dtrace... yes On macOS, you can list available DTrace probes by running a Python process in the background and listing all probes made available by the Python provider:: $ python3.6 -q & $ sudo dtrace -l -P python$! # or: dtrace -l -m python3.6 ID PROVIDER MODULE FUNCTION NAME 29564 python18035 python3.6 _PyEval_EvalFrameDefault function-entry 29565 python18035 python3.6 dtrace_function_entry function-entry 29566 python18035 python3.6 _PyEval_EvalFrameDefault function-return 29567 python18035 python3.6 dtrace_function_return function-return 29568 python18035 python3.6 collect gc-done 29569 python18035 python3.6 collect gc-start 29570 python18035 python3.6 _PyEval_EvalFrameDefault line 29571 python18035 python3.6 maybe_dtrace_line line On Linux, you can verify if the SystemTap static markers are present in the built binary by seeing if it contains a ".note.stapsdt" section. :: $ readelf -S ./python | grep .note.stapsdt [30] .note.stapsdt NOTE 0000000000000000 00308d78 If you've built Python as a shared library (with the :option:`--enable-shared` configure option), you need to look instead within the shared library. For example:: $ readelf -S libpython3.3dm.so.1.0 | grep .note.stapsdt [29] .note.stapsdt NOTE 0000000000000000 00365b68 Sufficiently modern readelf can print the metadata:: $ readelf -n ./python Displaying notes found at file offset 0x00000254 with length 0x00000020: Owner Data size Description GNU 0x00000010 NT_GNU_ABI_TAG (ABI version tag) OS: Linux, ABI: 2.6.32 Displaying notes found at file offset 0x00000274 with length 0x00000024: Owner Data size Description GNU 0x00000014 NT_GNU_BUILD_ID (unique build ID bitstring) Build ID: df924a2b08a7e89f6e11251d4602022977af2670 Displaying notes found at file offset 0x002d6c30 with length 0x00000144: Owner Data size Description stapsdt 0x00000031 NT_STAPSDT (SystemTap probe descriptors) Provider: python Name: gc__start Location: 0x00000000004371c3, Base: 0x0000000000630ce2, Semaphore: 0x00000000008d6bf6 Arguments: -4@%ebx stapsdt 0x00000030 NT_STAPSDT (SystemTap probe descriptors) Provider: python Name: gc__done Location: 0x00000000004374e1, Base: 0x0000000000630ce2, Semaphore: 0x00000000008d6bf8 Arguments: -8@%rax stapsdt 0x00000045 NT_STAPSDT (SystemTap probe descriptors) Provider: python Name: function__entry Location: 0x000000000053db6c, Base: 0x0000000000630ce2, Semaphore: 0x00000000008d6be8 Arguments: 8@%rbp 8@%r12 -4@%eax stapsdt 0x00000046 NT_STAPSDT (SystemTap probe descriptors) Provider: python Name: function__return Location: 0x000000000053dba8, Base: 0x0000000000630ce2, Semaphore: 0x00000000008d6bea Arguments: 8@%rbp 8@%r12 -4@%eax The above metadata contains information for SystemTap describing how it can patch strategically placed machine code instructions to enable the tracing hooks used by a SystemTap script. Static DTrace probes -------------------- The following example DTrace script can be used to show the call/return hierarchy of a Python script, only tracing within the invocation of a function called "start". In other words, import-time function invocations are not going to be listed: .. code-block:: none self int indent; python$target:::function-entry /copyinstr(arg1) == "start"/ { self->trace = 1; } python$target:::function-entry /self->trace/ { printf("%d\t%*s:", timestamp, 15, probename); printf("%*s", self->indent, ""); printf("%s:%s:%d\n", basename(copyinstr(arg0)), copyinstr(arg1), arg2); self->indent++; } python$target:::function-return /self->trace/ { self->indent--; printf("%d\t%*s:", timestamp, 15, probename); printf("%*s", self->indent, ""); printf("%s:%s:%d\n", basename(copyinstr(arg0)), copyinstr(arg1), arg2); } python$target:::function-return /copyinstr(arg1) == "start"/ { self->trace = 0; } It can be invoked like this:: $ sudo dtrace -q -s call_stack.d -c "python3.6 script.py" The output looks like this: .. code-block:: none 156641360502280 function-entry:call_stack.py:start:23 156641360518804 function-entry: call_stack.py:function_1:1 156641360532797 function-entry: call_stack.py:function_3:9 156641360546807 function-return: call_stack.py:function_3:10 156641360563367 function-return: call_stack.py:function_1:2 156641360578365 function-entry: call_stack.py:function_2:5 156641360591757 function-entry: call_stack.py:function_1:1 156641360605556 function-entry: call_stack.py:function_3:9 156641360617482 function-return: call_stack.py:function_3:10 156641360629814 function-return: call_stack.py:function_1:2 156641360642285 function-return: call_stack.py:function_2:6 156641360656770 function-entry: call_stack.py:function_3:9 156641360669707 function-return: call_stack.py:function_3:10 156641360687853 function-entry: call_stack.py:function_4:13 156641360700719 function-return: call_stack.py:function_4:14 156641360719640 function-entry: call_stack.py:function_5:18 156641360732567 function-return: call_stack.py:function_5:21 156641360747370 function-return:call_stack.py:start:28 Static SystemTap markers ------------------------ The low-level way to use the SystemTap integration is to use the static markers directly. This requires you to explicitly state the binary file containing them. For example, this SystemTap script can be used to show the call/return hierarchy of a Python script: .. code-block:: none probe process("python").mark("function__entry") { filename = user_string($arg1); funcname = user_string($arg2); lineno = $arg3; printf("%s => %s in %s:%d\\n", thread_indent(1), funcname, filename, lineno); } probe process("python").mark("function__return") { filename = user_string($arg1); funcname = user_string($arg2); lineno = $arg3; printf("%s <= %s in %s:%d\\n", thread_indent(-1), funcname, filename, lineno); } It can be invoked like this:: $ stap \ show-call-hierarchy.stp \ -c "./python test.py" The output looks like this: .. code-block:: none 11408 python(8274): => __contains__ in Lib/_abcoll.py:362 11414 python(8274): => __getitem__ in Lib/os.py:425 11418 python(8274): => encode in Lib/os.py:490 11424 python(8274): <= encode in Lib/os.py:493 11428 python(8274): <= __getitem__ in Lib/os.py:426 11433 python(8274): <= __contains__ in Lib/_abcoll.py:366 where the columns are: - time in microseconds since start of script - name of executable - PID of process and the remainder indicates the call/return hierarchy as the script executes. For a :option:`--enable-shared` build of CPython, the markers are contained within the libpython shared library, and the probe's dotted path needs to reflect this. For example, this line from the above example: .. code-block:: none probe process("python").mark("function__entry") { should instead read: .. code-block:: none probe process("python").library("libpython3.6dm.so.1.0").mark("function__entry") { (assuming a :ref:`debug build ` of CPython 3.6) Available static markers ------------------------ .. object:: function__entry(str filename, str funcname, int lineno) This marker indicates that execution of a Python function has begun. It is only triggered for pure-Python (bytecode) functions. The filename, function name, and line number are provided back to the tracing script as positional arguments, which must be accessed using ``$arg1``, ``$arg2``, ``$arg3``: * ``$arg1`` : ``(const char *)`` filename, accessible using ``user_string($arg1)`` * ``$arg2`` : ``(const char *)`` function name, accessible using ``user_string($arg2)`` * ``$arg3`` : ``int`` line number .. object:: function__return(str filename, str funcname, int lineno) This marker is the converse of :c:func:`!function__entry`, and indicates that execution of a Python function has ended (either via ``return``, or via an exception). It is only triggered for pure-Python (bytecode) functions. The arguments are the same as for :c:func:`!function__entry` .. object:: line(str filename, str funcname, int lineno) This marker indicates a Python line is about to be executed. It is the equivalent of line-by-line tracing with a Python profiler. It is not triggered within C functions. The arguments are the same as for :c:func:`!function__entry`. .. object:: gc__start(int generation) Fires when the Python interpreter starts a garbage collection cycle. ``arg0`` is the generation to scan, like :func:`gc.collect`. .. object:: gc__done(long collected) Fires when the Python interpreter finishes a garbage collection cycle. ``arg0`` is the number of collected objects. .. object:: import__find__load__start(str modulename) Fires before :mod:`importlib` attempts to find and load the module. ``arg0`` is the module name. .. versionadded:: 3.7 .. object:: import__find__load__done(str modulename, int found) Fires after :mod:`importlib`'s find_and_load function is called. ``arg0`` is the module name, ``arg1`` indicates if module was successfully loaded. .. versionadded:: 3.7 .. object:: audit(str event, void *tuple) Fires when :func:`sys.audit` or :c:func:`PySys_Audit` is called. ``arg0`` is the event name as C string, ``arg1`` is a :c:type:`PyObject` pointer to a tuple object. .. versionadded:: 3.8 SystemTap Tapsets ----------------- The higher-level way to use the SystemTap integration is to use a "tapset": SystemTap's equivalent of a library, which hides some of the lower-level details of the static markers. Here is a tapset file, based on a non-shared build of CPython: .. code-block:: none /* Provide a higher-level wrapping around the function__entry and function__return markers: \*/ probe python.function.entry = process("python").mark("function__entry") { filename = user_string($arg1); funcname = user_string($arg2); lineno = $arg3; frameptr = $arg4 } probe python.function.return = process("python").mark("function__return") { filename = user_string($arg1); funcname = user_string($arg2); lineno = $arg3; frameptr = $arg4 } If this file is installed in SystemTap's tapset directory (e.g. ``/usr/share/systemtap/tapset``), then these additional probepoints become available: .. object:: python.function.entry(str filename, str funcname, int lineno, frameptr) This probe point indicates that execution of a Python function has begun. It is only triggered for pure-Python (bytecode) functions. .. object:: python.function.return(str filename, str funcname, int lineno, frameptr) This probe point is the converse of ``python.function.return``, and indicates that execution of a Python function has ended (either via ``return``, or via an exception). It is only triggered for pure-Python (bytecode) functions. Examples -------- This SystemTap script uses the tapset above to more cleanly implement the example given above of tracing the Python function-call hierarchy, without needing to directly name the static markers: .. code-block:: none probe python.function.entry { printf("%s => %s in %s:%d\n", thread_indent(1), funcname, filename, lineno); } probe python.function.return { printf("%s <= %s in %s:%d\n", thread_indent(-1), funcname, filename, lineno); } The following script uses the tapset above to provide a top-like view of all running CPython code, showing the top 20 most frequently entered bytecode frames, each second, across the whole system: .. code-block:: none global fn_calls; probe python.function.entry { fn_calls[pid(), filename, funcname, lineno] += 1; } probe timer.ms(1000) { printf("\033[2J\033[1;1H") /* clear screen \*/ printf("%6s %80s %6s %30s %6s\n", "PID", "FILENAME", "LINE", "FUNCTION", "CALLS") foreach ([pid, filename, funcname, lineno] in fn_calls- limit 20) { printf("%6d %80s %6d %30s %6d\n", pid, filename, lineno, funcname, fn_calls[pid, filename, funcname, lineno]); } delete fn_calls; } pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/data/Doc/howto/ipaddress.rst000066400000000000000000000267231514162565100327440ustar00rootroot00000000000000.. testsetup:: import ipaddress .. _ipaddress-howto: *************************************** An introduction to the ipaddress module *************************************** :author: Peter Moody :author: Nick Coghlan .. topic:: Overview This document aims to provide a gentle introduction to the :mod:`ipaddress` module. It is aimed primarily at users that aren't already familiar with IP networking terminology, but may also be useful to network engineers wanting an overview of how :mod:`ipaddress` represents IP network addressing concepts. Creating Address/Network/Interface objects ========================================== Since :mod:`ipaddress` is a module for inspecting and manipulating IP addresses, the first thing you'll want to do is create some objects. You can use :mod:`ipaddress` to create objects from strings and integers. A Note on IP Versions --------------------- For readers that aren't particularly familiar with IP addressing, it's important to know that the Internet Protocol (IP) is currently in the process of moving from version 4 of the protocol to version 6. This transition is occurring largely because version 4 of the protocol doesn't provide enough addresses to handle the needs of the whole world, especially given the increasing number of devices with direct connections to the internet. Explaining the details of the differences between the two versions of the protocol is beyond the scope of this introduction, but readers need to at least be aware that these two versions exist, and it will sometimes be necessary to force the use of one version or the other. IP Host Addresses ----------------- Addresses, often referred to as "host addresses" are the most basic unit when working with IP addressing. The simplest way to create addresses is to use the :func:`ipaddress.ip_address` factory function, which automatically determines whether to create an IPv4 or IPv6 address based on the passed in value: >>> ipaddress.ip_address('192.0.2.1') IPv4Address('192.0.2.1') >>> ipaddress.ip_address('2001:DB8::1') IPv6Address('2001:db8::1') Addresses can also be created directly from integers. Values that will fit within 32 bits are assumed to be IPv4 addresses:: >>> ipaddress.ip_address(3221225985) IPv4Address('192.0.2.1') >>> ipaddress.ip_address(42540766411282592856903984951653826561) IPv6Address('2001:db8::1') To force the use of IPv4 or IPv6 addresses, the relevant classes can be invoked directly. This is particularly useful to force creation of IPv6 addresses for small integers:: >>> ipaddress.ip_address(1) IPv4Address('0.0.0.1') >>> ipaddress.IPv4Address(1) IPv4Address('0.0.0.1') >>> ipaddress.IPv6Address(1) IPv6Address('::1') Defining Networks ----------------- Host addresses are usually grouped together into IP networks, so :mod:`ipaddress` provides a way to create, inspect and manipulate network definitions. IP network objects are constructed from strings that define the range of host addresses that are part of that network. The simplest form for that information is a "network address/network prefix" pair, where the prefix defines the number of leading bits that are compared to determine whether or not an address is part of the network and the network address defines the expected value of those bits. As for addresses, a factory function is provided that determines the correct IP version automatically:: >>> ipaddress.ip_network('192.0.2.0/24') IPv4Network('192.0.2.0/24') >>> ipaddress.ip_network('2001:db8::0/96') IPv6Network('2001:db8::/96') Network objects cannot have any host bits set. The practical effect of this is that ``192.0.2.1/24`` does not describe a network. Such definitions are referred to as interface objects since the ip-on-a-network notation is commonly used to describe network interfaces of a computer on a given network and are described further in the next section. By default, attempting to create a network object with host bits set will result in :exc:`ValueError` being raised. To request that the additional bits instead be coerced to zero, the flag ``strict=False`` can be passed to the constructor:: >>> ipaddress.ip_network('192.0.2.1/24') Traceback (most recent call last): ... ValueError: 192.0.2.1/24 has host bits set >>> ipaddress.ip_network('192.0.2.1/24', strict=False) IPv4Network('192.0.2.0/24') While the string form offers significantly more flexibility, networks can also be defined with integers, just like host addresses. In this case, the network is considered to contain only the single address identified by the integer, so the network prefix includes the entire network address:: >>> ipaddress.ip_network(3221225984) IPv4Network('192.0.2.0/32') >>> ipaddress.ip_network(42540766411282592856903984951653826560) IPv6Network('2001:db8::/128') As with addresses, creation of a particular kind of network can be forced by calling the class constructor directly instead of using the factory function. Host Interfaces --------------- As mentioned just above, if you need to describe an address on a particular network, neither the address nor the network classes are sufficient. Notation like ``192.0.2.1/24`` is commonly used by network engineers and the people who write tools for firewalls and routers as shorthand for "the host ``192.0.2.1`` on the network ``192.0.2.0/24``", Accordingly, :mod:`ipaddress` provides a set of hybrid classes that associate an address with a particular network. The interface for creation is identical to that for defining network objects, except that the address portion isn't constrained to being a network address. >>> ipaddress.ip_interface('192.0.2.1/24') IPv4Interface('192.0.2.1/24') >>> ipaddress.ip_interface('2001:db8::1/96') IPv6Interface('2001:db8::1/96') Integer inputs are accepted (as with networks), and use of a particular IP version can be forced by calling the relevant constructor directly. Inspecting Address/Network/Interface Objects ============================================ You've gone to the trouble of creating an IPv(4|6)(Address|Network|Interface) object, so you probably want to get information about it. :mod:`ipaddress` tries to make doing this easy and intuitive. Extracting the IP version:: >>> addr4 = ipaddress.ip_address('192.0.2.1') >>> addr6 = ipaddress.ip_address('2001:db8::1') >>> addr6.version 6 >>> addr4.version 4 Obtaining the network from an interface:: >>> host4 = ipaddress.ip_interface('192.0.2.1/24') >>> host4.network IPv4Network('192.0.2.0/24') >>> host6 = ipaddress.ip_interface('2001:db8::1/96') >>> host6.network IPv6Network('2001:db8::/96') Finding out how many individual addresses are in a network:: >>> net4 = ipaddress.ip_network('192.0.2.0/24') >>> net4.num_addresses 256 >>> net6 = ipaddress.ip_network('2001:db8::0/96') >>> net6.num_addresses 4294967296 Iterating through the "usable" addresses on a network:: >>> net4 = ipaddress.ip_network('192.0.2.0/24') >>> for x in net4.hosts(): ... print(x) # doctest: +ELLIPSIS 192.0.2.1 192.0.2.2 192.0.2.3 192.0.2.4 ... 192.0.2.252 192.0.2.253 192.0.2.254 Obtaining the netmask (i.e. set bits corresponding to the network prefix) or the hostmask (any bits that are not part of the netmask): >>> net4 = ipaddress.ip_network('192.0.2.0/24') >>> net4.netmask IPv4Address('255.255.255.0') >>> net4.hostmask IPv4Address('0.0.0.255') >>> net6 = ipaddress.ip_network('2001:db8::0/96') >>> net6.netmask IPv6Address('ffff:ffff:ffff:ffff:ffff:ffff::') >>> net6.hostmask IPv6Address('::ffff:ffff') Exploding or compressing the address:: >>> addr6.exploded '2001:0db8:0000:0000:0000:0000:0000:0001' >>> addr6.compressed '2001:db8::1' >>> net6.exploded '2001:0db8:0000:0000:0000:0000:0000:0000/96' >>> net6.compressed '2001:db8::/96' While IPv4 doesn't support explosion or compression, the associated objects still provide the relevant properties so that version neutral code can easily ensure the most concise or most verbose form is used for IPv6 addresses while still correctly handling IPv4 addresses. Networks as lists of Addresses ============================== It's sometimes useful to treat networks as lists. This means it is possible to index them like this:: >>> net4[1] IPv4Address('192.0.2.1') >>> net4[-1] IPv4Address('192.0.2.255') >>> net6[1] IPv6Address('2001:db8::1') >>> net6[-1] IPv6Address('2001:db8::ffff:ffff') It also means that network objects lend themselves to using the list membership test syntax like this:: if address in network: # do something Containment testing is done efficiently based on the network prefix:: >>> addr4 = ipaddress.ip_address('192.0.2.1') >>> addr4 in ipaddress.ip_network('192.0.2.0/24') True >>> addr4 in ipaddress.ip_network('192.0.3.0/24') False Comparisons =========== :mod:`ipaddress` provides some simple, hopefully intuitive ways to compare objects, where it makes sense:: >>> ipaddress.ip_address('192.0.2.1') < ipaddress.ip_address('192.0.2.2') True A :exc:`TypeError` exception is raised if you try to compare objects of different versions or different types. Using IP Addresses with other modules ===================================== Other modules that use IP addresses (such as :mod:`socket`) usually won't accept objects from this module directly. Instead, they must be coerced to an integer or string that the other module will accept:: >>> addr4 = ipaddress.ip_address('192.0.2.1') >>> str(addr4) '192.0.2.1' >>> int(addr4) 3221225985 Getting more detail when instance creation fails ================================================ When creating address/network/interface objects using the version-agnostic factory functions, any errors will be reported as :exc:`ValueError` with a generic error message that simply says the passed in value was not recognized as an object of that type. The lack of a specific error is because it's necessary to know whether the value is *supposed* to be IPv4 or IPv6 in order to provide more detail on why it has been rejected. To support use cases where it is useful to have access to this additional detail, the individual class constructors actually raise the :exc:`ValueError` subclasses :exc:`ipaddress.AddressValueError` and :exc:`ipaddress.NetmaskValueError` to indicate exactly which part of the definition failed to parse correctly. The error messages are significantly more detailed when using the class constructors directly. For example:: >>> ipaddress.ip_address("192.168.0.256") Traceback (most recent call last): ... ValueError: '192.168.0.256' does not appear to be an IPv4 or IPv6 address >>> ipaddress.IPv4Address("192.168.0.256") Traceback (most recent call last): ... ipaddress.AddressValueError: Octet 256 (> 255) not permitted in '192.168.0.256' >>> ipaddress.ip_network("192.168.0.1/64") Traceback (most recent call last): ... ValueError: '192.168.0.1/64' does not appear to be an IPv4 or IPv6 network >>> ipaddress.IPv4Network("192.168.0.1/64") Traceback (most recent call last): ... ipaddress.NetmaskValueError: '64' is not a valid netmask However, both of the module specific exceptions have :exc:`ValueError` as their parent class, so if you're not concerned with the particular type of error, you can still write code like the following:: try: network = ipaddress.IPv4Network(address) except ValueError: print('address/netmask is invalid for IPv4:', address) isolating-extensions.rst000066400000000000000000000535661514162565100351020ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/data/Doc/howto.. highlight:: c .. _isolating-extensions-howto: *************************** Isolating Extension Modules *************************** .. topic:: Abstract Traditionally, state belonging to Python extension modules was kept in C ``static`` variables, which have process-wide scope. This document describes problems of such per-process state and shows a safer way: per-module state. The document also describes how to switch to per-module state where possible. This transition involves allocating space for that state, potentially switching from static types to heap types, and—perhaps most importantly—accessing per-module state from code. Who should read this ==================== This guide is written for maintainers of :ref:`C-API ` extensions who would like to make that extension safer to use in applications where Python itself is used as a library. Background ========== An *interpreter* is the context in which Python code runs. It contains configuration (e.g. the import path) and runtime state (e.g. the set of imported modules). Python supports running multiple interpreters in one process. There are two cases to think about—users may run interpreters: - in sequence, with several :c:func:`Py_InitializeEx`/:c:func:`Py_FinalizeEx` cycles, and - in parallel, managing "sub-interpreters" using :c:func:`Py_NewInterpreter`/:c:func:`Py_EndInterpreter`. Both cases (and combinations of them) would be most useful when embedding Python within a library. Libraries generally shouldn't make assumptions about the application that uses them, which include assuming a process-wide "main Python interpreter". Historically, Python extension modules don't handle this use case well. Many extension modules (and even some stdlib modules) use *per-process* global state, because C ``static`` variables are extremely easy to use. Thus, data that should be specific to an interpreter ends up being shared between interpreters. Unless the extension developer is careful, it is very easy to introduce edge cases that lead to crashes when a module is loaded in more than one interpreter in the same process. Unfortunately, *per-interpreter* state is not easy to achieve. Extension authors tend to not keep multiple interpreters in mind when developing, and it is currently cumbersome to test the behavior. Enter Per-Module State ---------------------- Instead of focusing on per-interpreter state, Python's C API is evolving to better support the more granular *per-module* state. This means that C-level data should be attached to a *module object*. Each interpreter creates its own module object, keeping the data separate. For testing the isolation, multiple module objects corresponding to a single extension can even be loaded in a single interpreter. Per-module state provides an easy way to think about lifetime and resource ownership: the extension module will initialize when a module object is created, and clean up when it's freed. In this regard, a module is just like any other :c:expr:`PyObject *`; there are no "on interpreter shutdown" hooks to think—or forget—about. Note that there are use cases for different kinds of "globals": per-process, per-interpreter, per-thread or per-task state. With per-module state as the default, these are still possible, but you should treat them as exceptional cases: if you need them, you should give them additional care and testing. (Note that this guide does not cover them.) Isolated Module Objects ----------------------- The key point to keep in mind when developing an extension module is that several module objects can be created from a single shared library. For example: .. code-block:: pycon >>> import sys >>> import binascii >>> old_binascii = binascii >>> del sys.modules['binascii'] >>> import binascii # create a new module object >>> old_binascii == binascii False As a rule of thumb, the two modules should be completely independent. All objects and state specific to the module should be encapsulated within the module object, not shared with other module objects, and cleaned up when the module object is deallocated. Since this just is a rule of thumb, exceptions are possible (see `Managing Global State`_), but they will need more thought and attention to edge cases. While some modules could do with less stringent restrictions, isolated modules make it easier to set clear expectations and guidelines that work across a variety of use cases. Surprising Edge Cases --------------------- Note that isolated modules do create some surprising edge cases. Most notably, each module object will typically not share its classes and exceptions with other similar modules. Continuing from the `example above `__, note that ``old_binascii.Error`` and ``binascii.Error`` are separate objects. In the following code, the exception is *not* caught: .. code-block:: pycon >>> old_binascii.Error == binascii.Error False >>> try: ... old_binascii.unhexlify(b'qwertyuiop') ... except binascii.Error: ... print('boo') ... Traceback (most recent call last): File "", line 2, in binascii.Error: Non-hexadecimal digit found This is expected. Notice that pure-Python modules behave the same way: it is a part of how Python works. The goal is to make extension modules safe at the C level, not to make hacks behave intuitively. Mutating ``sys.modules`` "manually" counts as a hack. Making Modules Safe with Multiple Interpreters ============================================== Managing Global State --------------------- Sometimes, the state associated with a Python module is not specific to that module, but to the entire process (or something else "more global" than a module). For example: - The ``readline`` module manages *the* terminal. - A module running on a circuit board wants to control *the* on-board LED. In these cases, the Python module should provide *access* to the global state, rather than *own* it. If possible, write the module so that multiple copies of it can access the state independently (along with other libraries, whether for Python or other languages). If that is not possible, consider explicit locking. If it is necessary to use process-global state, the simplest way to avoid issues with multiple interpreters is to explicitly prevent a module from being loaded more than once per process—see `Opt-Out: Limiting to One Module Object per Process`_. Managing Per-Module State ------------------------- To use per-module state, use :ref:`multi-phase extension module initialization `. This signals that your module supports multiple interpreters correctly. Set ``PyModuleDef.m_size`` to a positive number to request that many bytes of storage local to the module. Usually, this will be set to the size of some module-specific ``struct``, which can store all of the module's C-level state. In particular, it is where you should put pointers to classes (including exceptions, but excluding static types) and settings (e.g. ``csv``'s :py:data:`~csv.field_size_limit`) which the C code needs to function. .. note:: Another option is to store state in the module's ``__dict__``, but you must avoid crashing when users modify ``__dict__`` from Python code. This usually means error- and type-checking at the C level, which is easy to get wrong and hard to test sufficiently. However, if module state is not needed in C code, storing it in ``__dict__`` only is a good idea. If the module state includes ``PyObject`` pointers, the module object must hold references to those objects and implement the module-level hooks ``m_traverse``, ``m_clear`` and ``m_free``. These work like ``tp_traverse``, ``tp_clear`` and ``tp_free`` of a class. Adding them will require some work and make the code longer; this is the price for modules which can be unloaded cleanly. An example of a module with per-module state is currently available as `xxlimited `__; example module initialization shown at the bottom of the file. Opt-Out: Limiting to One Module Object per Process -------------------------------------------------- A non-negative ``PyModuleDef.m_size`` signals that a module supports multiple interpreters correctly. If this is not yet the case for your module, you can explicitly make your module loadable only once per process. For example:: static int loaded = 0; static int exec_module(PyObject* module) { if (loaded) { PyErr_SetString(PyExc_ImportError, "cannot load module more than once per process"); return -1; } loaded = 1; // ... rest of initialization } Module State Access from Functions ---------------------------------- Accessing the state from module-level functions is straightforward. Functions get the module object as their first argument; for extracting the state, you can use ``PyModule_GetState``:: static PyObject * func(PyObject *module, PyObject *args) { my_struct *state = (my_struct*)PyModule_GetState(module); if (state == NULL) { return NULL; } // ... rest of logic } .. note:: ``PyModule_GetState`` may return ``NULL`` without setting an exception if there is no module state, i.e. ``PyModuleDef.m_size`` was zero. In your own module, you're in control of ``m_size``, so this is easy to prevent. Heap Types ========== Traditionally, types defined in C code are *static*; that is, ``static PyTypeObject`` structures defined directly in code and initialized using ``PyType_Ready()``. Such types are necessarily shared across the process. Sharing them between module objects requires paying attention to any state they own or access. To limit the possible issues, static types are immutable at the Python level: for example, you can't set ``str.myattribute = 123``. .. impl-detail:: Sharing truly immutable objects between interpreters is fine, as long as they don't provide access to mutable objects. However, in CPython, every Python object has a mutable implementation detail: the reference count. Changes to the refcount are guarded by the GIL. Thus, code that shares any Python objects across interpreters implicitly depends on CPython's current, process-wide GIL. Because they are immutable and process-global, static types cannot access "their" module state. If any method of such a type requires access to module state, the type must be converted to a *heap-allocated type*, or *heap type* for short. These correspond more closely to classes created by Python's ``class`` statement. For new modules, using heap types by default is a good rule of thumb. Changing Static Types to Heap Types ----------------------------------- Static types can be converted to heap types, but note that the heap type API was not designed for "lossless" conversion from static types—that is, creating a type that works exactly like a given static type. So, when rewriting the class definition in a new API, you are likely to unintentionally change a few details (e.g. pickleability or inherited slots). Always test the details that are important to you. Watch out for the following two points in particular (but note that this is not a comprehensive list): * Unlike static types, heap type objects are mutable by default. Use the :c:macro:`Py_TPFLAGS_IMMUTABLETYPE` flag to prevent mutability. * Heap types inherit :c:member:`~PyTypeObject.tp_new` by default, so it may become possible to instantiate them from Python code. You can prevent this with the :c:macro:`Py_TPFLAGS_DISALLOW_INSTANTIATION` flag. Defining Heap Types ------------------- Heap types can be created by filling a :c:struct:`PyType_Spec` structure, a description or "blueprint" of a class, and calling :c:func:`PyType_FromModuleAndSpec` to construct a new class object. .. note:: Other functions, like :c:func:`PyType_FromSpec`, can also create heap types, but :c:func:`PyType_FromModuleAndSpec` associates the module with the class, allowing access to the module state from methods. The class should generally be stored in *both* the module state (for safe access from C) and the module's ``__dict__`` (for access from Python code). Garbage-Collection Protocol --------------------------- Instances of heap types hold a reference to their type. This ensures that the type isn't destroyed before all its instances are, but may result in reference cycles that need to be broken by the garbage collector. To avoid memory leaks, instances of heap types must implement the garbage collection protocol. That is, heap types should: - Have the :c:macro:`Py_TPFLAGS_HAVE_GC` flag. - Define a traverse function using ``Py_tp_traverse``, which visits the type (e.g. using ``Py_VISIT(Py_TYPE(self))``). Please refer to the documentation of :c:macro:`Py_TPFLAGS_HAVE_GC` and :c:member:`~PyTypeObject.tp_traverse` for additional considerations. The API for defining heap types grew organically, leaving it somewhat awkward to use in its current state. The following sections will guide you through common issues. ``tp_traverse`` in Python 3.8 and lower ....................................... The requirement to visit the type from ``tp_traverse`` was added in Python 3.9. If you support Python 3.8 and lower, the traverse function must *not* visit the type, so it must be more complicated:: static int my_traverse(PyObject *self, visitproc visit, void *arg) { if (Py_Version >= 0x03090000) { Py_VISIT(Py_TYPE(self)); } return 0; } Unfortunately, :c:data:`Py_Version` was only added in Python 3.11. As a replacement, use: * :c:macro:`PY_VERSION_HEX`, if not using the stable ABI, or * :py:data:`sys.version_info` (via :c:func:`PySys_GetObject` and :c:func:`PyArg_ParseTuple`). Delegating ``tp_traverse`` .......................... If your traverse function delegates to the :c:member:`~PyTypeObject.tp_traverse` of its base class (or another type), ensure that ``Py_TYPE(self)`` is visited only once. Note that only heap type are expected to visit the type in ``tp_traverse``. For example, if your traverse function includes:: base->tp_traverse(self, visit, arg) ...and ``base`` may be a static type, then it should also include:: if (base->tp_flags & Py_TPFLAGS_HEAPTYPE) { // a heap type's tp_traverse already visited Py_TYPE(self) } else { if (Py_Version >= 0x03090000) { Py_VISIT(Py_TYPE(self)); } } It is not necessary to handle the type's reference count in :c:member:`~PyTypeObject.tp_new` and :c:member:`~PyTypeObject.tp_clear`. Defining ``tp_dealloc`` ....................... If your type has a custom :c:member:`~PyTypeObject.tp_dealloc` function, it needs to: - call :c:func:`PyObject_GC_UnTrack` before any fields are invalidated, and - decrement the reference count of the type. To keep the type valid while ``tp_free`` is called, the type's refcount needs to be decremented *after* the instance is deallocated. For example:: static void my_dealloc(PyObject *self) { PyObject_GC_UnTrack(self); ... PyTypeObject *type = Py_TYPE(self); type->tp_free(self); Py_DECREF(type); } The default ``tp_dealloc`` function does this, so if your type does *not* override ``tp_dealloc`` you don't need to add it. Not overriding ``tp_free`` .......................... The :c:member:`~PyTypeObject.tp_free` slot of a heap type must be set to :c:func:`PyObject_GC_Del`. This is the default; do not override it. Avoiding ``PyObject_New`` ......................... GC-tracked objects need to be allocated using GC-aware functions. If you use use :c:func:`PyObject_New` or :c:func:`PyObject_NewVar`: - Get and call type's :c:member:`~PyTypeObject.tp_alloc` slot, if possible. That is, replace ``TYPE *o = PyObject_New(TYPE, typeobj)`` with:: TYPE *o = typeobj->tp_alloc(typeobj, 0); Replace ``o = PyObject_NewVar(TYPE, typeobj, size)`` with the same, but use size instead of the 0. - If the above is not possible (e.g. inside a custom ``tp_alloc``), call :c:func:`PyObject_GC_New` or :c:func:`PyObject_GC_NewVar`:: TYPE *o = PyObject_GC_New(TYPE, typeobj); TYPE *o = PyObject_GC_NewVar(TYPE, typeobj, size); Module State Access from Classes -------------------------------- If you have a type object defined with :c:func:`PyType_FromModuleAndSpec`, you can call :c:func:`PyType_GetModule` to get the associated module, and then :c:func:`PyModule_GetState` to get the module's state. To save a some tedious error-handling boilerplate code, you can combine these two steps with :c:func:`PyType_GetModuleState`, resulting in:: my_struct *state = (my_struct*)PyType_GetModuleState(type); if (state == NULL) { return NULL; } Module State Access from Regular Methods ---------------------------------------- Accessing the module-level state from methods of a class is somewhat more complicated, but is possible thanks to API introduced in Python 3.9. To get the state, you need to first get the *defining class*, and then get the module state from it. The largest roadblock is getting *the class a method was defined in*, or that method's "defining class" for short. The defining class can have a reference to the module it is part of. Do not confuse the defining class with ``Py_TYPE(self)``. If the method is called on a *subclass* of your type, ``Py_TYPE(self)`` will refer to that subclass, which may be defined in different module than yours. .. note:: The following Python code can illustrate the concept. ``Base.get_defining_class`` returns ``Base`` even if ``type(self) == Sub``: .. code-block:: python class Base: def get_type_of_self(self): return type(self) def get_defining_class(self): return __class__ class Sub(Base): pass For a method to get its "defining class", it must use the :ref:`METH_METHOD | METH_FASTCALL | METH_KEYWORDS ` :c:type:`calling convention ` and the corresponding :c:type:`PyCMethod` signature:: PyObject *PyCMethod( PyObject *self, // object the method was called on PyTypeObject *defining_class, // defining class PyObject *const *args, // C array of arguments Py_ssize_t nargs, // length of "args" PyObject *kwnames) // NULL, or dict of keyword arguments Once you have the defining class, call :c:func:`PyType_GetModuleState` to get the state of its associated module. For example:: static PyObject * example_method(PyObject *self, PyTypeObject *defining_class, PyObject *const *args, Py_ssize_t nargs, PyObject *kwnames) { my_struct *state = (my_struct*)PyType_GetModuleState(defining_class); if (state == NULL) { return NULL; } ... // rest of logic } PyDoc_STRVAR(example_method_doc, "..."); static PyMethodDef my_methods[] = { {"example_method", (PyCFunction)(void(*)(void))example_method, METH_METHOD|METH_FASTCALL|METH_KEYWORDS, example_method_doc} {NULL}, } Module State Access from Slot Methods, Getters and Setters ---------------------------------------------------------- .. note:: This is new in Python 3.11. .. After adding to limited API: If you use the :ref:`limited API `, you must update ``Py_LIMITED_API`` to ``0x030b0000``, losing ABI compatibility with earlier versions. Slot methods—the fast C equivalents for special methods, such as :c:member:`~PyNumberMethods.nb_add` for :py:attr:`~object.__add__` or :c:member:`~PyTypeObject.tp_new` for initialization—have a very simple API that doesn't allow passing in the defining class, unlike with :c:type:`PyCMethod`. The same goes for getters and setters defined with :c:type:`PyGetSetDef`. To access the module state in these cases, use the :c:func:`PyType_GetModuleByDef` function, and pass in the module definition. Once you have the module, call :c:func:`PyModule_GetState` to get the state:: PyObject *module = PyType_GetModuleByDef(Py_TYPE(self), &module_def); my_struct *state = (my_struct*)PyModule_GetState(module); if (state == NULL) { return NULL; } :c:func:`!PyType_GetModuleByDef` works by searching the :term:`method resolution order` (i.e. all superclasses) for the first superclass that has a corresponding module. .. note:: In very exotic cases (inheritance chains spanning multiple modules created from the same definition), :c:func:`!PyType_GetModuleByDef` might not return the module of the true defining class. However, it will always return a module with the same definition, ensuring a compatible C memory layout. Lifetime of the Module State ---------------------------- When a module object is garbage-collected, its module state is freed. For each pointer to (a part of) the module state, you must hold a reference to the module object. Usually this is not an issue, because types created with :c:func:`PyType_FromModuleAndSpec`, and their instances, hold a reference to the module. However, you must be careful in reference counting when you reference module state from other places, such as callbacks for external libraries. Open Issues =========== Several issues around per-module state and heap types are still open. Discussions about improving the situation are best held on the `capi-sig mailing list `__. Per-Class Scope --------------- It is currently (as of Python 3.11) not possible to attach state to individual *types* without relying on CPython implementation details (which may change in the future—perhaps, ironically, to allow a proper solution for per-class scope). Lossless Conversion to Heap Types --------------------------------- The heap type API was not designed for "lossless" conversion from static types; that is, creating a type that works exactly like a given static type. pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/data/Doc/license.rst000066400000000000000000001543321514162565100312460ustar00rootroot00000000000000.. highlight:: none .. _history-and-license: ******************* History and License ******************* History of the software ======================= Python was created in the early 1990s by Guido van Rossum at Stichting Mathematisch Centrum (CWI, see https://www.cwi.nl/) in the Netherlands as a successor of a language called ABC. Guido remains Python's principal author, although it includes many contributions from others. In 1995, Guido continued his work on Python at the Corporation for National Research Initiatives (CNRI, see https://www.cnri.reston.va.us/) in Reston, Virginia where he released several versions of the software. In May 2000, Guido and the Python core development team moved to BeOpen.com to form the BeOpen PythonLabs team. In October of the same year, the PythonLabs team moved to Digital Creations (now Zope Corporation; see https://www.zope.org/). In 2001, the Python Software Foundation (PSF, see https://www.python.org/psf/) was formed, a non-profit organization created specifically to own Python-related Intellectual Property. Zope Corporation is a sponsoring member of the PSF. All Python releases are Open Source (see https://opensource.org/ for the Open Source Definition). Historically, most, but not all, Python releases have also been GPL-compatible; the table below summarizes the various releases. +----------------+--------------+------------+------------+-----------------+ | Release | Derived from | Year | Owner | GPL compatible? | +================+==============+============+============+=================+ | 0.9.0 thru 1.2 | n/a | 1991-1995 | CWI | yes | +----------------+--------------+------------+------------+-----------------+ | 1.3 thru 1.5.2 | 1.2 | 1995-1999 | CNRI | yes | +----------------+--------------+------------+------------+-----------------+ | 1.6 | 1.5.2 | 2000 | CNRI | no | +----------------+--------------+------------+------------+-----------------+ | 2.0 | 1.6 | 2000 | BeOpen.com | no | +----------------+--------------+------------+------------+-----------------+ | 1.6.1 | 1.6 | 2001 | CNRI | no | +----------------+--------------+------------+------------+-----------------+ | 2.1 | 2.0+1.6.1 | 2001 | PSF | no | +----------------+--------------+------------+------------+-----------------+ | 2.0.1 | 2.0+1.6.1 | 2001 | PSF | yes | +----------------+--------------+------------+------------+-----------------+ | 2.1.1 | 2.1+2.0.1 | 2001 | PSF | yes | +----------------+--------------+------------+------------+-----------------+ | 2.1.2 | 2.1.1 | 2002 | PSF | yes | +----------------+--------------+------------+------------+-----------------+ | 2.1.3 | 2.1.2 | 2002 | PSF | yes | +----------------+--------------+------------+------------+-----------------+ | 2.2 and above | 2.1.1 | 2001-now | PSF | yes | +----------------+--------------+------------+------------+-----------------+ .. note:: GPL-compatible doesn't mean that we're distributing Python under the GPL. All Python licenses, unlike the GPL, let you distribute a modified version without making your changes open source. The GPL-compatible licenses make it possible to combine Python with other software that is released under the GPL; the others don't. Thanks to the many outside volunteers who have worked under Guido's direction to make these releases possible. Terms and conditions for accessing or otherwise using Python ============================================================ Python software and documentation are licensed under the :ref:`PSF License Agreement `. Starting with Python 3.8.6, examples, recipes, and other code in the documentation are dual licensed under the PSF License Agreement and the :ref:`Zero-Clause BSD license `. Some software incorporated into Python is under different licenses. The licenses are listed with code falling under that license. See :ref:`OtherLicenses` for an incomplete list of these licenses. .. _PSF-license: PSF LICENSE AGREEMENT FOR PYTHON |release| ------------------------------------------ .. parsed-literal:: 1. This LICENSE AGREEMENT is between the Python Software Foundation ("PSF"), and the Individual or Organization ("Licensee") accessing and otherwise using Python |release| software in source or binary form and its associated documentation. 2. Subject to the terms and conditions of this License Agreement, PSF hereby grants Licensee a nonexclusive, royalty-free, world-wide license to reproduce, analyze, test, perform and/or display publicly, prepare derivative works, distribute, and otherwise use Python |release| alone or in any derivative version, provided, however, that PSF's License Agreement and PSF's notice of copyright, i.e., "Copyright © 2001-2024 Python Software Foundation; All Rights Reserved" are retained in Python |release| alone or in any derivative version prepared by Licensee. 3. In the event Licensee prepares a derivative work that is based on or incorporates Python |release| or any part thereof, and wants to make the derivative work available to others as provided herein, then Licensee hereby agrees to include in any such work a brief summary of the changes made to Python |release|. 4. PSF is making Python |release| available to Licensee on an "AS IS" basis. PSF MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, PSF MAKES NO AND DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON |release| WILL NOT INFRINGE ANY THIRD PARTY RIGHTS. 5. PSF SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON |release| FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON |release|, OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF. 6. This License Agreement will automatically terminate upon a material breach of its terms and conditions. 7. Nothing in this License Agreement shall be deemed to create any relationship of agency, partnership, or joint venture between PSF and Licensee. This License Agreement does not grant permission to use PSF trademarks or trade name in a trademark sense to endorse or promote products or services of Licensee, or any third party. 8. By copying, installing or otherwise using Python |release|, Licensee agrees to be bound by the terms and conditions of this License Agreement. BEOPEN.COM LICENSE AGREEMENT FOR PYTHON 2.0 ------------------------------------------- BEOPEN PYTHON OPEN SOURCE LICENSE AGREEMENT VERSION 1 .. parsed-literal:: 1. This LICENSE AGREEMENT is between BeOpen.com ("BeOpen"), having an office at 160 Saratoga Avenue, Santa Clara, CA 95051, and the Individual or Organization ("Licensee") accessing and otherwise using this software in source or binary form and its associated documentation ("the Software"). 2. Subject to the terms and conditions of this BeOpen Python License Agreement, BeOpen hereby grants Licensee a non-exclusive, royalty-free, world-wide license to reproduce, analyze, test, perform and/or display publicly, prepare derivative works, distribute, and otherwise use the Software alone or in any derivative version, provided, however, that the BeOpen Python License is retained in the Software, alone or in any derivative version prepared by Licensee. 3. BeOpen is making the Software available to Licensee on an "AS IS" basis. BEOPEN MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, BEOPEN MAKES NO AND DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY THIRD PARTY RIGHTS. 4. BEOPEN SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF THE SOFTWARE FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS A RESULT OF USING, MODIFYING OR DISTRIBUTING THE SOFTWARE, OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF. 5. This License Agreement will automatically terminate upon a material breach of its terms and conditions. 6. This License Agreement shall be governed by and interpreted in all respects by the law of the State of California, excluding conflict of law provisions. Nothing in this License Agreement shall be deemed to create any relationship of agency, partnership, or joint venture between BeOpen and Licensee. This License Agreement does not grant permission to use BeOpen trademarks or trade names in a trademark sense to endorse or promote products or services of Licensee, or any third party. As an exception, the "BeOpen Python" logos available at http://www.pythonlabs.com/logos.html may be used according to the permissions granted on that web page. 7. By copying, installing or otherwise using the software, Licensee agrees to be bound by the terms and conditions of this License Agreement. CNRI LICENSE AGREEMENT FOR PYTHON 1.6.1 --------------------------------------- .. parsed-literal:: 1. This LICENSE AGREEMENT is between the Corporation for National Research Initiatives, having an office at 1895 Preston White Drive, Reston, VA 20191 ("CNRI"), and the Individual or Organization ("Licensee") accessing and otherwise using Python 1.6.1 software in source or binary form and its associated documentation. 2. Subject to the terms and conditions of this License Agreement, CNRI hereby grants Licensee a nonexclusive, royalty-free, world-wide license to reproduce, analyze, test, perform and/or display publicly, prepare derivative works, distribute, and otherwise use Python 1.6.1 alone or in any derivative version, provided, however, that CNRI's License Agreement and CNRI's notice of copyright, i.e., "Copyright © 1995-2001 Corporation for National Research Initiatives; All Rights Reserved" are retained in Python 1.6.1 alone or in any derivative version prepared by Licensee. Alternately, in lieu of CNRI's License Agreement, Licensee may substitute the following text (omitting the quotes): "Python 1.6.1 is made available subject to the terms and conditions in CNRI's License Agreement. This Agreement together with Python 1.6.1 may be located on the internet using the following unique, persistent identifier (known as a handle): 1895.22/1013. This Agreement may also be obtained from a proxy server on the internet using the following URL: http://hdl.handle.net/1895.22/1013." 3. In the event Licensee prepares a derivative work that is based on or incorporates Python 1.6.1 or any part thereof, and wants to make the derivative work available to others as provided herein, then Licensee hereby agrees to include in any such work a brief summary of the changes made to Python 1.6.1. 4. CNRI is making Python 1.6.1 available to Licensee on an "AS IS" basis. CNRI MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, CNRI MAKES NO AND DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON 1.6.1 WILL NOT INFRINGE ANY THIRD PARTY RIGHTS. 5. CNRI SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON 1.6.1 FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON 1.6.1, OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF. 6. This License Agreement will automatically terminate upon a material breach of its terms and conditions. 7. This License Agreement shall be governed by the federal intellectual property law of the United States, including without limitation the federal copyright law, and, to the extent such U.S. federal law does not apply, by the law of the Commonwealth of Virginia, excluding Virginia's conflict of law provisions. Notwithstanding the foregoing, with regard to derivative works based on Python 1.6.1 that incorporate non-separable material that was previously distributed under the GNU General Public License (GPL), the law of the Commonwealth of Virginia shall govern this License Agreement only as to issues arising under or with respect to Paragraphs 4, 5, and 7 of this License Agreement. Nothing in this License Agreement shall be deemed to create any relationship of agency, partnership, or joint venture between CNRI and Licensee. This License Agreement does not grant permission to use CNRI trademarks or trade name in a trademark sense to endorse or promote products or services of Licensee, or any third party. 8. By clicking on the "ACCEPT" button where indicated, or by copying, installing or otherwise using Python 1.6.1, Licensee agrees to be bound by the terms and conditions of this License Agreement. CWI LICENSE AGREEMENT FOR PYTHON 0.9.0 THROUGH 1.2 -------------------------------------------------- .. parsed-literal:: Copyright © 1991 - 1995, Stichting Mathematisch Centrum Amsterdam, The Netherlands. All rights reserved. Permission to use, copy, modify, and distribute this software and its documentation for any purpose and without fee is hereby granted, provided that the above copyright notice appear in all copies and that both that copyright notice and this permission notice appear in supporting documentation, and that the name of Stichting Mathematisch Centrum or CWI not be used in advertising or publicity pertaining to distribution of the software without specific, written prior permission. STICHTING MATHEMATISCH CENTRUM DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS, IN NO EVENT SHALL STICHTING MATHEMATISCH CENTRUM BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. .. _BSD0: ZERO-CLAUSE BSD LICENSE FOR CODE IN THE PYTHON |release| DOCUMENTATION ---------------------------------------------------------------------- .. parsed-literal:: Permission to use, copy, modify, and/or distribute this software for any purpose with or without fee is hereby granted. THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. .. _OtherLicenses: Licenses and Acknowledgements for Incorporated Software ======================================================= This section is an incomplete, but growing list of licenses and acknowledgements for third-party software incorporated in the Python distribution. Mersenne Twister ---------------- The :mod:`!_random` C extension underlying the :mod:`random` module includes code based on a download from http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/MT2002/emt19937ar.html. The following are the verbatim comments from the original code:: A C-program for MT19937, with initialization improved 2002/1/26. Coded by Takuji Nishimura and Makoto Matsumoto. Before using, initialize the state by using init_genrand(seed) or init_by_array(init_key, key_length). Copyright (C) 1997 - 2002, Makoto Matsumoto and Takuji Nishimura, All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. The names of its contributors may not be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Any feedback is very welcome. http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/emt.html email: m-mat @ math.sci.hiroshima-u.ac.jp (remove space) Sockets ------- The :mod:`socket` module uses the functions, :c:func:`!getaddrinfo`, and :c:func:`!getnameinfo`, which are coded in separate source files from the WIDE Project, https://www.wide.ad.jp/. :: Copyright (C) 1995, 1996, 1997, and 1998 WIDE Project. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the project nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE PROJECT AND CONTRIBUTORS ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE PROJECT OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Asynchronous socket services ---------------------------- The :mod:`!test.support.asynchat` and :mod:`!test.support.asyncore` modules contain the following notice:: Copyright 1996 by Sam Rushing All Rights Reserved Permission to use, copy, modify, and distribute this software and its documentation for any purpose and without fee is hereby granted, provided that the above copyright notice appear in all copies and that both that copyright notice and this permission notice appear in supporting documentation, and that the name of Sam Rushing not be used in advertising or publicity pertaining to distribution of the software without specific, written prior permission. SAM RUSHING DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS, IN NO EVENT SHALL SAM RUSHING BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. Cookie management ----------------- The :mod:`http.cookies` module contains the following notice:: Copyright 2000 by Timothy O'Malley All Rights Reserved Permission to use, copy, modify, and distribute this software and its documentation for any purpose and without fee is hereby granted, provided that the above copyright notice appear in all copies and that both that copyright notice and this permission notice appear in supporting documentation, and that the name of Timothy O'Malley not be used in advertising or publicity pertaining to distribution of the software without specific, written prior permission. Timothy O'Malley DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS, IN NO EVENT SHALL Timothy O'Malley BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. Execution tracing ----------------- The :mod:`trace` module contains the following notice:: portions copyright 2001, Autonomous Zones Industries, Inc., all rights... err... reserved and offered to the public under the terms of the Python 2.2 license. Author: Zooko O'Whielacronx http://zooko.com/ mailto:zooko@zooko.com Copyright 2000, Mojam Media, Inc., all rights reserved. Author: Skip Montanaro Copyright 1999, Bioreason, Inc., all rights reserved. Author: Andrew Dalke Copyright 1995-1997, Automatrix, Inc., all rights reserved. Author: Skip Montanaro Copyright 1991-1995, Stichting Mathematisch Centrum, all rights reserved. Permission to use, copy, modify, and distribute this Python software and its associated documentation for any purpose without fee is hereby granted, provided that the above copyright notice appears in all copies, and that both that copyright notice and this permission notice appear in supporting documentation, and that the name of neither Automatrix, Bioreason or Mojam Media be used in advertising or publicity pertaining to distribution of the software without specific, written prior permission. UUencode and UUdecode functions ------------------------------- The ``uu`` codec contains the following notice:: Copyright 1994 by Lance Ellinghouse Cathedral City, California Republic, United States of America. All Rights Reserved Permission to use, copy, modify, and distribute this software and its documentation for any purpose and without fee is hereby granted, provided that the above copyright notice appear in all copies and that both that copyright notice and this permission notice appear in supporting documentation, and that the name of Lance Ellinghouse not be used in advertising or publicity pertaining to distribution of the software without specific, written prior permission. LANCE ELLINGHOUSE DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS, IN NO EVENT SHALL LANCE ELLINGHOUSE CENTRUM BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. Modified by Jack Jansen, CWI, July 1995: - Use binascii module to do the actual line-by-line conversion between ascii and binary. This results in a 1000-fold speedup. The C version is still 5 times faster, though. - Arguments more compliant with Python standard XML Remote Procedure Calls -------------------------- The :mod:`xmlrpc.client` module contains the following notice:: The XML-RPC client interface is Copyright (c) 1999-2002 by Secret Labs AB Copyright (c) 1999-2002 by Fredrik Lundh By obtaining, using, and/or copying this software and/or its associated documentation, you agree that you have read, understood, and will comply with the following terms and conditions: Permission to use, copy, modify, and distribute this software and its associated documentation for any purpose and without fee is hereby granted, provided that the above copyright notice appears in all copies, and that both that copyright notice and this permission notice appear in supporting documentation, and that the name of Secret Labs AB or the author not be used in advertising or publicity pertaining to distribution of the software without specific, written prior permission. SECRET LABS AB AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANT- ABILITY AND FITNESS. IN NO EVENT SHALL SECRET LABS AB OR THE AUTHOR BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. test_epoll ---------- The :mod:`!test.test_epoll` module contains the following notice:: Copyright (c) 2001-2006 Twisted Matrix Laboratories. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Select kqueue ------------- The :mod:`select` module contains the following notice for the kqueue interface:: Copyright (c) 2000 Doug White, 2006 James Knight, 2007 Christian Heimes All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. SipHash24 --------- The file :file:`Python/pyhash.c` contains Marek Majkowski' implementation of Dan Bernstein's SipHash24 algorithm. It contains the following note:: Copyright (c) 2013 Marek Majkowski Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. Original location: https://github.com/majek/csiphash/ Solution inspired by code from: Samuel Neves (supercop/crypto_auth/siphash24/little) djb (supercop/crypto_auth/siphash24/little2) Jean-Philippe Aumasson (https://131002.net/siphash/siphash24.c) strtod and dtoa --------------- The file :file:`Python/dtoa.c`, which supplies C functions dtoa and strtod for conversion of C doubles to and from strings, is derived from the file of the same name by David M. Gay, currently available from https://web.archive.org/web/20220517033456/http://www.netlib.org/fp/dtoa.c. The original file, as retrieved on March 16, 2009, contains the following copyright and licensing notice:: /**************************************************************** * * The author of this software is David M. Gay. * * Copyright (c) 1991, 2000, 2001 by Lucent Technologies. * * Permission to use, copy, modify, and distribute this software for any * purpose without fee is hereby granted, provided that this entire notice * is included in all copies of any software which is or includes a copy * or modification of this software and in all copies of the supporting * documentation for such software. * * THIS SOFTWARE IS BEING PROVIDED "AS IS", WITHOUT ANY EXPRESS OR IMPLIED * WARRANTY. IN PARTICULAR, NEITHER THE AUTHOR NOR LUCENT MAKES ANY * REPRESENTATION OR WARRANTY OF ANY KIND CONCERNING THE MERCHANTABILITY * OF THIS SOFTWARE OR ITS FITNESS FOR ANY PARTICULAR PURPOSE. * ***************************************************************/ OpenSSL ------- The modules :mod:`hashlib`, :mod:`posix` and :mod:`ssl` use the OpenSSL library for added performance if made available by the operating system. 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END OF TERMS AND CONDITIONS expat ----- The :mod:`pyexpat ` extension is built using an included copy of the expat sources unless the build is configured ``--with-system-expat``:: Copyright (c) 1998, 1999, 2000 Thai Open Source Software Center Ltd and Clark Cooper Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. libffi ------ The :mod:`!_ctypes` C extension underlying the :mod:`ctypes` module is built using an included copy of the libffi sources unless the build is configured ``--with-system-libffi``:: Copyright (c) 1996-2008 Red Hat, Inc and others. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the ``Software''), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED ``AS IS'', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. zlib ---- The :mod:`zlib` extension is built using an included copy of the zlib sources if the zlib version found on the system is too old to be used for the build:: Copyright (C) 1995-2011 Jean-loup Gailly and Mark Adler This software is provided 'as-is', without any express or implied warranty. In no event will the authors be held liable for any damages arising from the use of this software. Permission is granted to anyone to use this software for any purpose, including commercial applications, and to alter it and redistribute it freely, subject to the following restrictions: 1. The origin of this software must not be misrepresented; you must not claim that you wrote the original software. 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This code is released under the BSD license: Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the author nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. libmpdec -------- The :mod:`!_decimal` C extension underlying the :mod:`decimal` module is built using an included copy of the libmpdec library unless the build is configured ``--with-system-libmpdec``:: Copyright (c) 2008-2020 Stefan Krah. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. 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Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of works must retain the original copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the original copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the W3C nor the names of its contributors may be used to endorse or promote products derived from this work without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. 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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. asyncio ---------- Parts of the :mod:`asyncio` module are incorporated from `uvloop 0.16 `_, which is distributed under the MIT license:: Copyright (c) 2015-2021 MagicStack Inc. http://magic.io Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Global Unbounded Sequences (GUS) -------------------------------- The file :file:`Python/qsbr.c` is adapted from FreeBSD's "Global Unbounded Sequences" safe memory reclamation scheme in `subr_smr.c `_. The file is distributed under the 2-Clause BSD License:: Copyright (c) 2019,2020 Jeffrey Roberson Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice unmodified, this list of conditions, and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/data/Doc/tools/000077500000000000000000000000001514162565100302225ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/data/Doc/tools/extensions/000077500000000000000000000000001514162565100324215ustar00rootroot00000000000000pyspecific.py000066400000000000000000000172221514162565100350560ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/data/Doc/tools/extensionsimport re from docutils import nodes from docutils.parsers.rst import directives from docutils.utils import unescape from sphinx import addnodes from sphinx.domains.changeset import VersionChange, versionlabels, versionlabel_classes from sphinx.domains.python import PyFunction, PyMethod, PyModule from sphinx.locale import _ as sphinx_gettext from sphinx.util.docutils import SphinxDirective ISSUE_URI = 'https://bugs.python.org/issue?@action=redirect&bpo=%s' GH_ISSUE_URI = 'https://github.com/python/cpython/issues/%s' # Used in conf.py and updated here by python/release-tools/run_release.py SOURCE_URI = 'https://github.com/python/cpython/tree/3.13/%s' # monkey-patch reST parser to disable alphabetic and roman enumerated lists from docutils.parsers.rst.states import Body Body.enum.converters['loweralpha'] = \ Body.enum.converters['upperalpha'] = \ Body.enum.converters['lowerroman'] = \ Body.enum.converters['upperroman'] = lambda x: None # monkey-patch the productionlist directive to allow hyphens in group names # https://github.com/sphinx-doc/sphinx/issues/11854 from sphinx.domains import std std.token_re = re.compile(r'`((~?[\w-]*:)?\w+)`') # backport :no-index: PyModule.option_spec['no-index'] = directives.flag # Support for marking up and linking to bugs.python.org issues def issue_role(typ, rawtext, text, lineno, inliner, options={}, content=[]): issue = unescape(text) # sanity check: there are no bpo issues within these two values if 47261 < int(issue) < 400000: msg = inliner.reporter.error(f'The BPO ID {text!r} seems too high -- ' 'use :gh:`...` for GitHub IDs', line=lineno) prb = inliner.problematic(rawtext, rawtext, msg) return [prb], [msg] text = 'bpo-' + issue refnode = nodes.reference(text, text, refuri=ISSUE_URI % issue) return [refnode], [] # Support for marking up and linking to GitHub issues def gh_issue_role(typ, rawtext, text, lineno, inliner, options={}, content=[]): issue = unescape(text) # sanity check: all GitHub issues have ID >= 32426 # even though some of them are also valid BPO IDs if int(issue) < 32426: msg = inliner.reporter.error(f'The GitHub ID {text!r} seems too low -- ' 'use :issue:`...` for BPO IDs', line=lineno) prb = inliner.problematic(rawtext, rawtext, msg) return [prb], [msg] text = 'gh-' + issue refnode = nodes.reference(text, text, refuri=GH_ISSUE_URI % issue) return [refnode], [] # Support for marking up implementation details class ImplementationDetail(SphinxDirective): has_content = True final_argument_whitespace = True # This text is copied to templates/dummy.html label_text = sphinx_gettext('CPython implementation detail:') def run(self): self.assert_has_content() pnode = nodes.compound(classes=['impl-detail']) content = self.content add_text = nodes.strong(self.label_text, self.label_text) self.state.nested_parse(content, self.content_offset, pnode) content = nodes.inline(pnode[0].rawsource, translatable=True) content.source = pnode[0].source content.line = pnode[0].line content += pnode[0].children pnode[0].replace_self(nodes.paragraph( '', '', add_text, nodes.Text(' '), content, translatable=False)) return [pnode] # Support for documenting decorators class PyDecoratorMixin(object): def handle_signature(self, sig, signode): ret = super(PyDecoratorMixin, self).handle_signature(sig, signode) signode.insert(0, addnodes.desc_addname('@', '@')) return ret def needs_arglist(self): return False class PyDecoratorFunction(PyDecoratorMixin, PyFunction): def run(self): # a decorator function is a function after all self.name = 'py:function' return PyFunction.run(self) # TODO: Use sphinx.domains.python.PyDecoratorMethod when possible class PyDecoratorMethod(PyDecoratorMixin, PyMethod): def run(self): self.name = 'py:method' return PyMethod.run(self) class PyCoroutineMixin(object): def handle_signature(self, sig, signode): ret = super(PyCoroutineMixin, self).handle_signature(sig, signode) signode.insert(0, addnodes.desc_annotation('coroutine ', 'coroutine ')) return ret class PyAwaitableMixin(object): def handle_signature(self, sig, signode): ret = super(PyAwaitableMixin, self).handle_signature(sig, signode) signode.insert(0, addnodes.desc_annotation('awaitable ', 'awaitable ')) return ret class PyCoroutineFunction(PyCoroutineMixin, PyFunction): def run(self): self.name = 'py:function' return PyFunction.run(self) class PyCoroutineMethod(PyCoroutineMixin, PyMethod): def run(self): self.name = 'py:method' return PyMethod.run(self) class PyAwaitableFunction(PyAwaitableMixin, PyFunction): def run(self): self.name = 'py:function' return PyFunction.run(self) class PyAwaitableMethod(PyAwaitableMixin, PyMethod): def run(self): self.name = 'py:method' return PyMethod.run(self) class PyAbstractMethod(PyMethod): def handle_signature(self, sig, signode): ret = super(PyAbstractMethod, self).handle_signature(sig, signode) signode.insert(0, addnodes.desc_annotation('abstractmethod ', 'abstractmethod ')) return ret def run(self): self.name = 'py:method' return PyMethod.run(self) # Support for documenting version of removal in deprecations class DeprecatedRemoved(VersionChange): required_arguments = 2 _deprecated_label = sphinx_gettext('Deprecated since version %s, will be removed in version %s') _removed_label = sphinx_gettext('Deprecated since version %s, removed in version %s') def run(self): # Replace the first two arguments (deprecated version and removed version) # with a single tuple of both versions. version_deprecated = self.arguments[0] version_removed = self.arguments.pop(1) self.arguments[0] = version_deprecated, version_removed # Set the label based on if we have reached the removal version current_version = tuple(map(int, self.config.version.split('.'))) removed_version = tuple(map(int, version_removed.split('.'))) if current_version < removed_version: versionlabels[self.name] = self._deprecated_label versionlabel_classes[self.name] = 'deprecated' else: versionlabels[self.name] = self._removed_label versionlabel_classes[self.name] = 'removed' try: return super().run() finally: # reset versionlabels and versionlabel_classes versionlabels[self.name] = '' versionlabel_classes[self.name] = '' def setup(app): app.add_role('issue', issue_role) app.add_role('gh', gh_issue_role) app.add_directive('impl-detail', ImplementationDetail) app.add_directive('deprecated-removed', DeprecatedRemoved) app.add_directive_to_domain('py', 'decorator', PyDecoratorFunction) app.add_directive_to_domain('py', 'decoratormethod', PyDecoratorMethod) app.add_directive_to_domain('py', 'coroutinefunction', PyCoroutineFunction) app.add_directive_to_domain('py', 'coroutinemethod', PyCoroutineMethod) app.add_directive_to_domain('py', 'awaitablefunction', PyAwaitableFunction) app.add_directive_to_domain('py', 'awaitablemethod', PyAwaitableMethod) app.add_directive_to_domain('py', 'abstractmethod', PyAbstractMethod) return {'version': '1.0', 'parallel_read_safe': True} pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/pyproject.toml000066400000000000000000000003731514162565100303630ustar00rootroot00000000000000[project] name = "pyperformance_bm_sphinx" requires-python = ">=3.11" dependencies = [ "pyperf", "sphinx", ] urls.repository = "https://github.com/python/pyperformance" dynamic = ["version"] [tool.pyperformance] name = "sphinx" tags = "apps" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/requirements.txt000066400000000000000000000000501514162565100307230ustar00rootroot00000000000000sphinx==7.3.7 python-docs-theme==2024.6 pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sphinx/run_benchmark.py000066400000000000000000000054541514162565100306440ustar00rootroot00000000000000""" Build a subset of Python's documentation using Sphinx """ import io import os from pathlib import Path import shutil import pyperf from sphinx.cmd.build import main as sphinx_main # Sphinx performs a lot of filesystem I/O when it operates. This can cause the # results to be highly variable. Instead, we pre-load all of the source files # and then monkeypatch "open" so that Sphinx is reading from in-memory # `io.BytesIO` and `io.StringIO` objects. DOC_ROOT = (Path(__file__).parent / "data" / "Doc").resolve() _orig_open = open preloaded_files = {} def read_all_files(): for filename in DOC_ROOT.glob("**/*"): if filename.is_file(): preloaded_files[str(filename)] = filename.read_bytes() def open( file, mode="r", buffering=-1, encoding=None, errors=None, newline=None, closefd=True, opener=None, ): if isinstance(file, Path): file = str(file) if isinstance(file, str): if "r" in mode and file in preloaded_files: if "b" in mode: return io.BytesIO(preloaded_files[file]) else: return io.StringIO(preloaded_files[file].decode(encoding or "utf-8")) elif "w" in mode and DOC_ROOT in Path(file).parents: if "b" in mode: newfile = io.BytesIO() else: newfile = io.StringIO() preloaded_files[file] = newfile return newfile return _orig_open( file, mode=mode, buffering=buffering, encoding=encoding, errors=errors, newline=newline, closefd=closefd, opener=opener, ) __builtins__.open = open def replace(src, dst): pass os.replace = replace def build_doc(doc_root): # Make sure there is no caching going on t0 = pyperf.perf_counter() sphinx_main( [ "--builder", "dummy", "--doctree-dir", str(doc_root / "build" / "doctrees"), "--jobs", "1", "--silent", "--fresh-env", "--write-all", str(doc_root), str(doc_root / "build" / "html"), ] ) return pyperf.perf_counter() - t0 def bench_sphinx(loops, doc_root): if (DOC_ROOT / "build").is_dir(): shutil.rmtree(DOC_ROOT / "build") read_all_files() runs_total = 0 for _ in range(loops): runs_total += build_doc(doc_root) if (DOC_ROOT / "build").is_dir(): shutil.rmtree(DOC_ROOT / "build") return runs_total if __name__ == "__main__": runner = pyperf.Runner() runner.metadata["description"] = ( "Render documentation with Sphinx, like the CPython docs" ) args = runner.parse_args() runner.bench_time_func("sphinx", bench_sphinx, DOC_ROOT) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sqlalchemy_declarative/000077500000000000000000000000001514162565100306405ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sqlalchemy_declarative/pyproject.toml000066400000000000000000000004241514162565100335540ustar00rootroot00000000000000[project] name = "pyperformance_bm_sqlalchemy_declarative" requires-python = ">=3.8" dependencies = [ "pyperf", "SQLAlchemy", ] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "sqlalchemy_declarative" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sqlalchemy_declarative/requirements.txt000066400000000000000000000000431514162565100341210ustar00rootroot00000000000000greenlet==3.2.4 sqlalchemy==1.4.19 pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sqlalchemy_declarative/run_benchmark.py000066400000000000000000000064741514162565100340430ustar00rootroot00000000000000import pyperf from sqlalchemy import Column, ForeignKey, Integer, String from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.orm import relationship, sessionmaker from sqlalchemy import create_engine Base = declarative_base() class Person(Base): __tablename__ = 'person' # Here we define columns for the table person # Notice that each column is also a normal Python instance attribute. id = Column(Integer, primary_key=True) name = Column(String(250), nullable=False) class Address(Base): __tablename__ = 'address' # Here we define columns for the table address. # Notice that each column is also a normal Python instance attribute. id = Column(Integer, primary_key=True) street_name = Column(String(250)) street_number = Column(String(250)) post_code = Column(String(250), nullable=False) person_id = Column(Integer, ForeignKey('person.id')) person = relationship(Person) # Create an engine that stores data in the local directory's # sqlalchemy_example.db file. engine = create_engine('sqlite://') # Create all tables in the engine. This is equivalent to "Create Table" # statements in raw SQL. Base.metadata.create_all(engine) # Bind the engine to the metadata of the Base class so that the # declaratives can be accessed through a DBSession instance Base.metadata.bind = engine DBSession = sessionmaker(bind=engine) # A DBSession() instance establishes all conversations with the database # and represents a "staging zone" for all the objects loaded into the # database session object. Any change made against the objects in the # session won't be persisted into the database until you call # session.commit(). If you're not happy about the changes, you can # revert all of them back to the last commit by calling # session.rollback() session = DBSession() # add 'npeople' people to the database def bench_sqlalchemy(loops, npeople): total_dt = 0.0 for loops in range(loops): # drop rows created by the previous benchmark session.query(Person).delete(synchronize_session=False) session.query(Address).delete(synchronize_session=False) # Run the benchmark once t0 = pyperf.perf_counter() for i in range(npeople): # Insert a Person in the person table new_person = Person(name="name %i" % i) session.add(new_person) session.commit() # Insert an Address in the address table new_address = Address(post_code='%05i' % i, person=new_person) session.add(new_address) session.commit() # do 100 queries per insert for i in range(npeople): session.query(Person).all() total_dt += (pyperf.perf_counter() - t0) return total_dt def add_cmdline_args(cmd, args): cmd.extend(("--rows", str(args.rows))) if __name__ == "__main__": runner = pyperf.Runner(add_cmdline_args=add_cmdline_args) runner.metadata['description'] = ("SQLAlchemy Declarative benchmark " "using SQLite") runner.argparser.add_argument("--rows", type=int, default=100, help="Number of rows (default: 100)") args = runner.parse_args() runner.bench_time_func('sqlalchemy_declarative', bench_sqlalchemy, args.rows) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sqlalchemy_imperative/000077500000000000000000000000001514162565100305225ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sqlalchemy_imperative/pyproject.toml000066400000000000000000000004221514162565100334340ustar00rootroot00000000000000[project] name = "pyperformance_bm_sqlalchemy_imperative" requires-python = ">=3.8" dependencies = [ "pyperf", "SQLAlchemy", ] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "sqlalchemy_imperative" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sqlalchemy_imperative/requirements.txt000066400000000000000000000000431514162565100340030ustar00rootroot00000000000000greenlet==3.2.4 sqlalchemy==1.4.19 pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sqlalchemy_imperative/run_benchmark.py000066400000000000000000000057311514162565100337200ustar00rootroot00000000000000import pyperf from sqlalchemy import Column, ForeignKey, Integer, String, Table, MetaData from sqlalchemy.orm import sessionmaker from sqlalchemy import create_engine metadata = MetaData() Person = Table('person', metadata, Column('id', Integer, primary_key=True), Column('name', String(250), nullable=False)) Address = Table('address', metadata, Column('id', Integer, primary_key=True), Column('street_name', String(250)), Column('street_number', String(250)), Column('post_code', String(250), nullable=False), Column('person_id', Integer, ForeignKey('person.id'))) # Create an engine that stores data in the local directory's # sqlalchemy_example.db file. engine = create_engine('sqlite://') # Create all tables in the engine. This is equivalent to "Create Table" # statements in raw SQL. metadata.create_all(engine) # Bind the engine to the metadata of the Base class so that the # declaratives can be accessed through a DBSession instance metadata.bind = engine DBSession = sessionmaker(bind=engine) # A DBSession() instance establishes all conversations with the database # and represents a "staging zone" for all the objects loaded into the # database session object. Any change made against the objects in the # session won't be persisted into the database until you call # session.commit(). If you're not happy about the changes, you can # revert all of them back to the last commit by calling # session.rollback() session = DBSession() # add 'npeople' people to the database def bench_sqlalchemy(loops, npeople): total_dt = 0.0 for loops in range(loops): # drop rows created by the previous benchmark cur = Person.delete() cur.execute() cur = Address.delete() cur.execute() # Run the benchmark once t0 = pyperf.perf_counter() for i in range(npeople): # Insert a Person in the person table new_person = Person.insert() new_person.execute(name="name %i" % i) # Insert an Address in the address table new_address = Address.insert() new_address.execute(post_code='%05i' % i) # do 'npeople' queries per insert for i in range(npeople): cur = Person.select() cur.execute() total_dt += (pyperf.perf_counter() - t0) return total_dt def add_cmdline_args(cmd, args): cmd.extend(("--rows", str(args.rows))) if __name__ == "__main__": runner = pyperf.Runner(add_cmdline_args=add_cmdline_args) runner.metadata['description'] = ("SQLAlchemy Imperative benchmark " "using SQLite") runner.argparser.add_argument("--rows", type=int, default=100, help="Number of rows (default: 100)") args = runner.parse_args() runner.bench_time_func('sqlalchemy_imperative', bench_sqlalchemy, args.rows) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sqlglot_v2/000077500000000000000000000000001514162565100262275ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sqlglot_v2/bm_sqlglot_v2_optimize.toml000066400000000000000000000001141514162565100336120ustar00rootroot00000000000000[tool.pyperformance] name = "sqlglot_v2_optimize" extra_opts = ["optimize"] pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sqlglot_v2/bm_sqlglot_v2_parse.toml000066400000000000000000000001061514162565100330650ustar00rootroot00000000000000[tool.pyperformance] name = "sqlglot_v2_parse" extra_opts = ["parse"] pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sqlglot_v2/bm_sqlglot_v2_transpile.toml000066400000000000000000000001161514162565100337550ustar00rootroot00000000000000[tool.pyperformance] name = "sqlglot_v2_transpile" extra_opts = ["transpile"] pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sqlglot_v2/pyproject.toml000066400000000000000000000004271514162565100311460ustar00rootroot00000000000000[project] name = "pyperformance_bm_sqlglot_v2" requires-python = ">=3.7" dependencies = [ "pyperf", "sqlglot_v2", ] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "sqlglot_v2" extra_opts = ["normalize"] pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sqlglot_v2/requirements.txt000066400000000000000000000000171514162565100315110ustar00rootroot00000000000000sqlglot==4.6.0 pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sqlglot_v2/run_benchmark.py000066400000000000000000000121441514162565100314210ustar00rootroot00000000000000import pyperf from sqlglot import parse_one, transpile from sqlglot.optimizer import optimize, normalize SQL = """ select supp_nation, cust_nation, l_year, sum(volume) as revenue from ( select n1.n_name as supp_nation, n2.n_name as cust_nation, extract(year from l_shipdate) as l_year, l_extendedprice * (1 - l_discount) as volume from supplier, lineitem, orders, customer, nation n1, nation n2 where s_suppkey = l_suppkey and o_orderkey = l_orderkey and c_custkey = o_custkey and s_nationkey = n1.n_nationkey and c_nationkey = n2.n_nationkey and ( (n1.n_name = 'FRANCE' and n2.n_name = 'GERMANY') or (n1.n_name = 'GERMANY' and n2.n_name = 'FRANCE') ) and l_shipdate between date '1995-01-01' and date '1996-12-31' ) as shipping group by supp_nation, cust_nation, l_year order by supp_nation, cust_nation, l_year; """ TPCH_SCHEMA = { "lineitem": { "l_orderkey": "uint64", "l_partkey": "uint64", "l_suppkey": "uint64", "l_linenumber": "uint64", "l_quantity": "float64", "l_extendedprice": "float64", "l_discount": "float64", "l_tax": "float64", "l_returnflag": "string", "l_linestatus": "string", "l_shipdate": "date32", "l_commitdate": "date32", "l_receiptdate": "date32", "l_shipinstruct": "string", "l_shipmode": "string", "l_comment": "string", }, "orders": { "o_orderkey": "uint64", "o_custkey": "uint64", "o_orderstatus": "string", "o_totalprice": "float64", "o_orderdate": "date32", "o_orderpriority": "string", "o_clerk": "string", "o_shippriority": "int32", "o_comment": "string", }, "customer": { "c_custkey": "uint64", "c_name": "string", "c_address": "string", "c_nationkey": "uint64", "c_phone": "string", "c_acctbal": "float64", "c_mktsegment": "string", "c_comment": "string", }, "part": { "p_partkey": "uint64", "p_name": "string", "p_mfgr": "string", "p_brand": "string", "p_type": "string", "p_size": "int32", "p_container": "string", "p_retailprice": "float64", "p_comment": "string", }, "supplier": { "s_suppkey": "uint64", "s_name": "string", "s_address": "string", "s_nationkey": "uint64", "s_phone": "string", "s_acctbal": "float64", "s_comment": "string", }, "partsupp": { "ps_partkey": "uint64", "ps_suppkey": "uint64", "ps_availqty": "int32", "ps_supplycost": "float64", "ps_comment": "string", }, "nation": { "n_nationkey": "uint64", "n_name": "string", "n_regionkey": "uint64", "n_comment": "string", }, "region": { "r_regionkey": "uint64", "r_name": "string", "r_comment": "string", }, } def bench_parse(loops): elapsed = 0 for _ in range(loops): t0 = pyperf.perf_counter() parse_one(SQL) elapsed += pyperf.perf_counter() - t0 return elapsed def bench_transpile(loops): elapsed = 0 for _ in range(loops): t0 = pyperf.perf_counter() transpile(SQL, write="spark") elapsed += pyperf.perf_counter() - t0 return elapsed def bench_optimize(loops): elapsed = 0 for _ in range(loops): t0 = pyperf.perf_counter() optimize(parse_one(SQL), TPCH_SCHEMA) elapsed += pyperf.perf_counter() - t0 return elapsed def bench_normalize(loops): elapsed = 0 for _ in range(loops): conjunction = parse_one("(A AND B) OR (C AND D) OR (E AND F) OR (G AND H)") t0 = pyperf.perf_counter() normalize.normalize(conjunction) elapsed += pyperf.perf_counter() - t0 return elapsed BENCHMARKS = { "parse": bench_parse, "transpile": bench_transpile, "optimize": bench_optimize, "normalize": bench_normalize } def add_cmdline_args(cmd, args): cmd.append(args.benchmark) def add_parser_args(parser): parser.add_argument( "benchmark", choices=BENCHMARKS, help="Which benchmark to run." ) if __name__ == "__main__": runner = pyperf.Runner(add_cmdline_args=add_cmdline_args) runner.metadata['description'] = "SQLGlot V2 benchmark" add_parser_args(runner.argparser) args = runner.parse_args() benchmark = args.benchmark runner.bench_time_func(f"sqlglot_v2_{benchmark}", BENCHMARKS[benchmark]) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sqlite_synth/000077500000000000000000000000001514162565100266615ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sqlite_synth/pyproject.toml000066400000000000000000000003471514162565100316010ustar00rootroot00000000000000[project] name = "pyperformance_bm_sqlite_synth" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "sqlite_synth" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sqlite_synth/run_benchmark.py000066400000000000000000000025631514162565100320570ustar00rootroot00000000000000""" SQLite benchmark. The goal of the benchmark is to test CFFI performance and going back and forth between SQLite and Python a lot. Therefore the queries themselves are really simple. """ import sqlite3 import math import pyperf class AvgLength(object): def __init__(self): self.sum = 0 self.count = 0 def step(self, x): if x is not None: self.count += 1 self.sum += len(x) def finalize(self): return self.sum / float(self.count) def bench_sqlite(loops): t0 = pyperf.perf_counter() conn = sqlite3.connect(":memory:") conn.execute('create table cos (x, y, z);') for i in range(loops): cos_i = math.cos(i) conn.execute('insert into cos values (?, ?, ?)', [i, cos_i, str(i)]) conn.create_function("cos", 1, math.cos) for x, cosx1, cosx2 in conn.execute("select x, cos(x), y from cos"): assert math.cos(x) == cosx1 == cosx2 conn.create_aggregate("avglength", 1, AvgLength) cursor = conn.execute("select avglength(z) from cos;") cursor.fetchone()[0] conn.execute("delete from cos;") conn.close() return pyperf.perf_counter() - t0 if __name__ == "__main__": runner = pyperf.Runner() runner.metadata['description'] = "Benchmark Python aggregate for SQLite" runner.bench_time_func('sqlite_synth', bench_sqlite) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sympy/000077500000000000000000000000001514162565100253145ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sympy/pyproject.toml000066400000000000000000000003551514162565100302330ustar00rootroot00000000000000[project] name = "pyperformance_bm_sympy" requires-python = ">=3.8" dependencies = [ "pyperf", "sympy", ] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "sympy" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sympy/requirements.txt000066400000000000000000000000311514162565100305720ustar00rootroot00000000000000mpmath==1.2.1 sympy==1.8 pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_sympy/run_benchmark.py000066400000000000000000000027301514162565100305060ustar00rootroot00000000000000import pyperf from sympy import expand, symbols, integrate, tan, summation from sympy.core.cache import clear_cache def bench_expand(): x, y, z = symbols('x y z') expand((1 + x + y + z) ** 20) def bench_integrate(): x, y = symbols('x y') f = (1 / tan(x)) ** 10 return integrate(f, x) def bench_sum(): x, i = symbols('x i') summation(x ** i / i, (i, 1, 400)) def bench_str(): x, y, z = symbols('x y z') str(expand((x + 2 * y + 3 * z) ** 30)) def bench_sympy(loops, func): timer = pyperf.perf_counter dt = 0 for _ in range(loops): # Don't benchmark clear_cache(), exclude it of the benchmark clear_cache() t0 = timer() func() dt += (timer() - t0) return dt BENCHMARKS = ("expand", "integrate", "sum", "str") def add_cmdline_args(cmd, args): if args.benchmark: cmd.append(args.benchmark) if __name__ == "__main__": runner = pyperf.Runner(add_cmdline_args=add_cmdline_args) runner.metadata['description'] = "SymPy benchmark" runner.argparser.add_argument("benchmark", nargs='?', choices=BENCHMARKS) import gc gc.disable() args = runner.parse_args() if args.benchmark: benchmarks = (args.benchmark,) else: benchmarks = BENCHMARKS for bench in benchmarks: name = 'sympy_%s' % bench func = globals()['bench_' + bench] runner.bench_time_func(name, bench_sympy, func) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_telco/000077500000000000000000000000001514162565100252415ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_telco/data/000077500000000000000000000000001514162565100261525ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_telco/data/telco-bench.b000066400000000000000000004704001514162565100305050ustar00rootroot00000000000000'e< êýR ª=Ù`Z&#†pŒ@}\HÊ¡'ÿ–’¶#–y· CØÏ°Õ6tæo¾Vßb˜&/hÇI<P‘HÆë‡/?_À*@¾ \&q±%‘Ë2· ±´®m…ßV/y…)k|T¹,'– ,}}|z+iXòcÅ:òXäT„dZ‰{.¦g¬´¬µ½Í4å›0« ˜‰Bã Â܈ï  #F ÔQƒ á /oœFu4w Sæ J«eç œ~(zÁg: 4— h§PÞ(»X ™ñ~Dï _Ç°„!!MRÅ< Z}³ "L.¸óN6…¤1"9â0!(=ð "ü'} lj‚ÛOC«ÄÑî] ;F-tN:ÚŠä2& F 0d¡—â•+ ǵ‘Xm}DëÂ.á?8VV4‘›#6|›!œÓS‚ÎŒãK¤—\Ze/Ä_~²§ta@9YŽãŒX*( ¬2Q7oo¯/èqÜHÿ?©jcè¥fwÐÀÈ‹zÏ'_Ô •[ä'wÂÇgçdžLÂÀ/«f¶<pðo&bˆn.ÍYûO D ¾iS·;1=‘Ì7 ¢Sr3ûžy - %g°{EˆNç.uYŽ-G CX  úêŠÇÊH½iÉzA#“íJZ¿ú5b‹§9m|ê@Õ u†X=­)¾^`-™š ^1þÃf,µ Y®'­™Nª®¯º—â{œ'tÎ1ž§:Ì ‘I:¸¬RfN/—X€C„‰ëY„öZ/ÄlQï[s>î5ƒZu0pEw &å=K\$”P [YENl'‹vO2`×7pa„MSžG=ëZGï2ï) &˲Yœi )…j #GgL¿>Úp]BûÄ%2{+ÿn'O<…¤KjÛuŒÌßQðŒ ~+XEßø×Ç NcáÂ.P0Ô û½¬˜§©Þ˜“4hz †w6·ò·—m+.dÜ z3IVDwMV)€(YW.bUÑÒÂ?[¶ª¸}}q”¦m8ÞÌ!¦ï{<< [M9ažJ;£=GØsº"’½u0OŽ` $oãtKº{…,ùœq¯Ïû.MÁ GW&ó¾ƒY¡¢è¼>Y~°žˆ†Šg 9Œ”-¤ê<Ó> ø°líž~möJ¤“‘5ø£E*;LÝEe×6ˆ$‘þ¬±µ&E K-FŽ^] 7X¿3+Gg`¹=!9’êGh\L‹Å-qT;û õ6ÜUi±Ù"¢/Z+7Œ¤™7KCDp215Ñ^Q^>,H)Ù˜ÓàŽ†•³Í œ…00 ´†‚ZE¼¶ êßLJµwØ ÿ­ÝË©2Gê`=D&üB"Ð5> m©"»JZp%?;8k C‚#; 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A rate, r, is determined from the call type. Those calls with c=0 have a low r: 0.0013; the remainder (‘distance calls’) have a ‘premium’ r: 0.00894. (The rates are, very roughly, in Euros or dollarates per second.) A price, p, for the call is then calculated (p=r*n). This is rounded to exactly 2 fractional digits using round-half-even (Banker’s round to nearest). A basic tax, b, is calculated: b=p*0.0675 (6.75%). This is truncated to exactly 2 fractional digits (round-down), and the total basic tax variable is then incremented (sumB=sumB+b). For distance calls: a distance tax, d, is calculated: d=p*0.0341 (3.41%). This is truncated to exactly 2 fractional digits (round-down), and then the total distance tax variable is incremented (sumD=sumD+d). The total price, t, is calculated (t=p+b, and, if a distance call, t=t+d). The total prices variable is incremented (sumT=sumT+t). The total price, t, is converted to a string, s. """ from decimal import ROUND_HALF_EVEN, ROUND_DOWN, Decimal, getcontext, Context import io import os from struct import unpack import pyperf def rel_path(*path): return os.path.join(os.path.dirname(__file__), *path) def bench_telco(loops, filename): getcontext().rounding = ROUND_DOWN rates = list(map(Decimal, ('0.0013', '0.00894'))) twodig = Decimal('0.01') Banker = Context(rounding=ROUND_HALF_EVEN) basictax = Decimal("0.0675") disttax = Decimal("0.0341") with open(filename, "rb") as infil: data = infil.read() infil = io.BytesIO(data) outfil = io.StringIO() start = pyperf.perf_counter() for _ in range(loops): infil.seek(0) sumT = Decimal("0") # sum of total prices sumB = Decimal("0") # sum of basic tax sumD = Decimal("0") # sum of 'distance' tax for i in range(5000): datum = infil.read(8) if datum == '': break n, = unpack('>Q', datum) calltype = n & 1 r = rates[calltype] p = Banker.quantize(r * n, twodig) b = p * basictax b = b.quantize(twodig) sumB += b t = p + b if calltype: d = p * 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logger.info('Finished')\r\n\r\n```\r\n\r\n```bash\r\n$ uname -a\r\nDarwin ... 21.4.0 Darwin Kernel Version 21.4.0: Fri Mar 18 00:47:26 PDT 2022; root:xnu-8020.101.4~15/RELEASE_ARM64_T8101 arm64\r\n\r\n$ ./python.exe -m test -j8\r\n...\r\n== Tests result: SUCCESS ==\r\n\r\n407 tests OK.\r\n\r\n29 tests skipped:\r\n test_curses test_dbm_gnu test_devpoll test_epoll test_gdb\r\n test_idle test_ioctl test_launcher test_msilib\r\n test_multiprocessing_fork test_ossaudiodev test_smtpnet\r\n test_socketserver test_spwd test_ssl test_startfile test_tcl\r\n test_tix test_tk test_ttk_guionly test_ttk_textonly test_turtle\r\n test_urllib2net test_urllibnet test_winconsoleio test_winreg\r\n test_winsound test_xmlrpc_net test_zipfile64\r\n\r\nTotal duration: 3 min 35 sec\r\nTests result: SUCCESS\r\n```" created_at = "2022-05-25T00:12:38Z" updated_at = "2022-05-25T08:43:05Z" merge_commit_sha = "ad57a0d60c9e27dda968b9769b27d5556bd89835" assignees = [] requested_teams = [] draft = false commits_url = 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maximum\r\n ** signed integer value might cause an integer overflow inside of the\r\n ** xMalloc(). 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"other" name = "Other" spdx_id = "NOASSERTION" node_id = "MDc6TGljZW5zZTA=" [[data]] url = "https://api.github.com/repos/python/cpython/pulls/93034" id = 943288429 node_id = "PR_kwDOBN0Z8c44OXBt" html_url = "https://github.com/python/cpython/pull/93034" diff_url = "https://github.com/python/cpython/pull/93034.diff" patch_url = "https://github.com/python/cpython/pull/93034.patch" issue_url = "https://api.github.com/repos/python/cpython/issues/93034" number = 93034 state = "closed" locked = false title = "gh-93033: Use wmemchr in find_char and replace_1char_inplace" body = "This was brought up a bit in #69009 but the larger issue is mostly\r\ndifferent.\r\n\r\nGenerally comparable perf for the \"good\" case where memchr doesn't\r\nreturn any collisions (false matches on lower byte) but clearly faster\r\nwith collisions.\r\n\r\nSome notes on correctness:\r\n\r\nwchar_t being signed/unsigned shouldn't matter here BUT wmemchr (along\r\nwith just about all the other wide-char string functions) can and\r\noften does (x86_64 for example) assume that the input is aligned\r\nrelative to the sizeof(wchar_t). If this is not the case for\r\nPy_UCS{2|4} then this patch is broken.\r\n\r\nAlso I think the way I implemented `#define STRINGLIB_FAST_MEMCHR` for\r\nucs{2|4}lib break strict-aliasing. If this is an issue but otherwise\r\nthe patch is fine, any suggestions for how to fix it?\r\n\r\nTest results:\r\n```\r\n$> ./python -m test -j4\r\n...\r\n== Tests result: SUCCESS ==\r\n\r\n406 tests OK.\r\n\r\n30 tests skipped:\r\n test_bz2 test_curses test_dbm_gnu test_dbm_ndbm test_devpoll\r\n test_idle test_ioctl test_kqueue test_launcher test_msilib\r\n test_nis test_ossaudiodev test_readline test_smtpnet\r\n test_socketserver test_sqlite3 test_startfile test_tcl test_tix\r\n test_tk test_ttk_guionly test_ttk_textonly test_turtle\r\n test_urllib2net test_urllibnet test_winconsoleio test_winreg\r\n test_winsound test_xmlrpc_net test_zipfile64\r\n```\r\n\r\nBenchmarked on:\r\nmodel name\t: 11th Gen Intel(R) Core(TM) i7-1165G7 @ 2.80GHz\r\n\r\nsizeof(wchar_t) == 4\r\n\r\nGLIBC 2.35\r\n```\r\n./python -m timeit -s 's = \"\\U00010200\\U00010201\\U00010202\\U00010203\\U00010204\\U00010205\\U00010206\\U00010207\\U00010208\\U00010209\\U0001020a\\U0001020b\\U0001020c\\U0001020d\\U0001020e\\U0001020f\" * 200 + \"\\U00018200\"' -- 's.find(\"\\U00018210\")' ## Long, No match, No collision\r\nNo wmemchr : 1000 loops, best of 100: 127 nsec per loop\r\nWith wmemchr: 1000 loops, best of 100: 123 nsec per loop\r\n\r\n./python -m timeit -s 's = \"\\U00010200\\U00010201\\U00010202\\U00010203\\U00010204\\U00010205\\U00010206\\U00010207\\U00010208\\U00010209\\U0001020a\\U0001020b\\U0001020c\\U0001020d\\U0001020e\\U0001020f\" * 200 + \"\\U00018200\"' -- 's.find(\"\\U00018208\")' ## Long, No match, High collision\r\nNo wmemchr : 1000 loops, best of 100: 1.29 usec per loop\r\nWith wmemchr: 1000 loops, best of 100: 123 nsec per loop\r\n\r\n./python -m timeit -s 's = \"\\U00010200\\U00010201\\U00010202\\U00010203\\U00010204\\U00010205\\U00010206\\U00010207\\U00010208\\U00010209\\U0001020a\\U0001020b\\U0001020c\\U0001020d\\U0001020e\\U0001020f\" * 200 + \"\\U00018210\"' -- 's.find(\"\\U00018210\")' ## Long, match, No collision\r\nNo wmemchr : 1000 loops, best of 100: 136 nsec per loop\r\nWith wmemchr: 1000 loops, best of 100: 130 nsec per loop\r\n\r\n./python -m timeit -s 's = \"\\U00010200\\U00010201\\U00010202\\U00010203\\U00010204\\U00010205\\U00010206\\U00010207\\U00010208\\U00010209\\U0001020a\\U0001020b\\U0001020c\\U0001020d\\U0001020e\\U0001020f\" * 200 + \"\\U00018208\"' -- 's.find(\"\\U00018208\")' ## Long, match, High collision\r\nNo wmemchr : 1000 loops, best of 100: 1.35 usec per loop\r\nWith wmemchr: 1000 loops, best of 100: 131 nsec per loop\r\n\r\n./python -m timeit -s 's = \"\\U00010200\\U00010201\\U00010202\\U00010203\\U00010204\\U00010205\\U00010206\\U00010207\\U00010208\\U00010209\\U0001020a\\U0001020b\\U0001020c\\U0001020d\\U0001020e\\U0001020f\" * 3 + \"\\U00018200\"' -- 's.find(\"\\U00018210\")' ## Short, No match, No collision\r\nNo wmemchr : 1000 loops, best of 100: 50.2 nsec per loop\r\nWith wmemchr: 1000 loops, best of 100: 52.9 nsec per loop\r\n\r\n./python -m timeit -s 's = \"\\U00010200\\U00010201\\U00010202\\U00010203\\U00010204\\U00010205\\U00010206\\U00010207\\U00010208\\U00010209\\U0001020a\\U0001020b\\U0001020c\\U0001020d\\U0001020e\\U0001020f\" * 3 + \"\\U00018200\"' -- 's.find(\"\\U00018208\")' ## Short, No match, High collision\r\nNo wmemchr : 1000 loops, best of 100: 69.1 nsec per loop\r\nWith wmemchr: 1000 loops, best of 100: 53.7 nsec per loop\r\n\r\n./python -m timeit -s 's = 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Example:\r\n\r\n```\r\nIn file included from /Users/wjakob/nanobind/src/tensor.cpp:1:\r\nIn file included from /Users/wjakob/nanobind/include/nanobind/tensor.h:14:\r\nIn file included from /Users/wjakob/nanobind/include/nanobind/nanobind.h:37:\r\nIn file included from /Users/wjakob/nanobind/include/nanobind/nb_python.h:22:\r\nIn file included from /Users/wjakob/cpython-dist/include/python3.12/Python.h:51:\r\nIn file included from /Users/wjakob/cpython-dist/include/python3.12/unicodeobject.h:1029:\r\n/Users/wjakob/cpython-dist/include/python3.12/cpython/unicodeobject.h:196:57: warning: unused parameter 'op' [-Wunused-parameter]\r\nstatic inline unsigned int PyUnicode_IS_READY(PyObject *op) {\r\n ^\r\n/Users/wjakob/cpython-dist/include/python3.12/cpython/unicodeobject.h:416:45: warning: unused parameter 'op' [-Wunused-parameter]\r\nstatic inline int PyUnicode_READY(PyObject *op)\r\n ^\r\n``` \r\n\r\nThis PR fixes those warnings. 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node_id = "MDc6TGljZW5zZTA=" [[data]] url = "https://api.github.com/repos/python/cpython/pulls/92900" id = 939262966 node_id = "PR_kwDOBN0Z8c43_AP2" html_url = "https://github.com/python/cpython/pull/92900" diff_url = "https://github.com/python/cpython/pull/92900.diff" patch_url = "https://github.com/python/cpython/pull/92900.patch" issue_url = "https://api.github.com/repos/python/cpython/issues/92900" number = 92900 state = "open" locked = false title = "gh-67022: Document bytes/str inconsistency in email.header.decode_header() and add .decode_header_to_string() as a sane alternative" body = "This function's possible return types have been surprising and error-prone\r\nfor the entirety of its Python 3.x history. It can return either:\r\n\r\n typing.List[typing.Tuple[str, None]], of length exactly 1\r\n or typing.List[typing.Tuple[bytes, typing.Optional[str]]]\r\n\r\nThis function can't be rewritten to be more consistent in a backwards-compatible way, because some users of this function depend on the existing return type(s).\r\n\r\nThis PR addresses the inconsistency as suggested by @JelleZijlstra in https://github.com/python/cpython/issues/67022#issuecomment-1093668884:\r\n\r\n1. > we should document the surprising return type at https://docs.python.org/3.10/library/email.header.html.\r\n3. > [create] a new function with a sane return type.\r\n\r\nThe \"sane\", Pythonic way to handle the decoding of an email/MIME message header value is simply to convert the whole header to a `str`; the details of exactly which parts of that header were encoded in which charsets are not relevant to the users. 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object.\r\n>>>\r\n>>> help(urllib.request.urlopen)\r\nHelp on function urlopen in module urllib.request:\r\nurlopen(url, data=None, timeout=, *, cafile=None, capath=None, cadefault=False, context=None)\r\n Open the URL url, which can be either a string or a Request object.\r\n```\r\n\r\n#### Using `class _GLOBAL_DEFAULT_TIMEOUT: pass` in a modified `myedits/socket.py`\r\n```python\r\n>>> import myedits; import myedits.socket as socket\r\n>>> help(socket.create_connection)\r\nHelp on function create_connection in module myedits.socket:\r\ncreate_connection(address, timeout=, source_address=None)\r\n Connect to *address* and return the socket object.\r\n>>>\r\n>>> import sys; sys.modules['socket'] = myedits.socket\r\n>>> import myedits.urllib.request\r\n>>> help(myedits.urllib.request.urlopen)\r\nurlopen(url, data=None, timeout=, *, cafile=None, capath=None, cadefault=False, context=None)\r\n Open the URL url, which can be either a string or a Request object.\r\n```\r\n\r\nFixes 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when run by the ``venv`` module. This could cause pip to not install itself in the virtual environment if it found an installation in another path.\r\n\r\nApproach taken is simple, to access the ``isolated`` flag of the current process, and, if it set, also add it to the sub-process. If the current process was not run as ``isolated`` the sub-process will not, restoring this particular case seen in Python <= 3.8.6.\r\n\r\nThis behavior was manually verified to work in the case that PYTHONPATH contains another installation of pip.\r\n\r\nThe test was attempted, but the ``test_venv`` test **appears to fail for another un-related issue** persisting from the last commit of the forked branch ``3.10`` (without the requested change). For clarity that the test does not indicate a problem with this request inspected traces of the failure is included below:\r\n\r\n```\r\nTraceback (most recent call last):\r\n File \"\", line 6, in \r\n File \"/media/cdodd/box/projects/contrib/cpython/Lib/runpy.py\", line 205, in run_module\r\n mod_name, mod_spec, code = _get_module_details(mod_name)\r\n File \"/media/cdodd/box/projects/contrib/cpython/Lib/runpy.py\", line 129, in _get_module_details\r\n spec = importlib.util.find_spec(mod_name)\r\n File \"/media/cdodd/box/projects/contrib/cpython/Lib/importlib/util.py\", line 103, in find_spec\r\n return _find_spec(fullname, parent_path)\r\n File \"\", line 945, in _find_spec\r\n File \"/tmp/tmpr0dlj3q6/lib/python3.10/site-packages/_distutils_hack/__init__.py\", line 79, in find_spec\r\n return method()\r\n File \"/tmp/tmpr0dlj3q6/lib/python3.10/site-packages/_distutils_hack/__init__.py\", line 100, in spec_for_pip\r\n if self.pip_imported_during_build():\r\n File \"/tmp/tmpr0dlj3q6/lib/python3.10/site-packages/_distutils_hack/__init__.py\", line 111, in pip_imported_during_build\r\n return any(\r\n File \"/tmp/tmpr0dlj3q6/lib/python3.10/site-packages/_distutils_hack/__init__.py\", line 112, in \r\n frame.f_globals['__file__'].endswith('setup.py')\r\nKeyError: '__file__'\r\nTraceback (most recent call last):\r\n File \"/media/cdodd/box/projects/contrib/cpython/Lib/runpy.py\", line 196, in _run_module_as_main\r\n return _run_code(code, main_globals, None,\r\n File \"/media/cdodd/box/projects/contrib/cpython/Lib/runpy.py\", line 86, in _run_code\r\n exec(code, run_globals)\r\n File \"/media/cdodd/box/projects/contrib/cpython/Lib/ensurepip/_uninstall.py\", line 31, in \r\n sys.exit(_main())\r\n File \"/media/cdodd/box/projects/contrib/cpython/Lib/ensurepip/_uninstall.py\", line 27, in _main\r\n return ensurepip._uninstall_helper(verbosity=args.verbosity)\r\n File \"/media/cdodd/box/projects/contrib/cpython/Lib/ensurepip/__init__.py\", line 231, in _uninstall_helper\r\n return _run_pip([*args, *reversed(_PACKAGE_NAMES)])\r\n File \"/media/cdodd/box/projects/contrib/cpython/Lib/ensurepip/__init__.py\", line 102, in _run_pip\r\n return subprocess.run( cmd, check = True ).returncode\r\n File \"/media/cdodd/box/projects/contrib/cpython/Lib/subprocess.py\", line 524, in run\r\n raise CalledProcessError(retcode, process.args,\r\nsubprocess.CalledProcessError: Command '['/tmp/tmpr0dlj3q6/bin/python', '-I', '-W', 'ignore::DeprecationWarning', '-c', '\\nimport runpy\\nimport sys\\nsys.path = [] + sys.path\\nsys.argv[1:] = [\\'uninstall\\', \\'-y\\', \\'--disable-pip-version-check\\', \\'pip\\', \\'setuptools\\']\\nrunpy.run_module(\"pip\", run_name=\"__main__\", alter_sys=True)\\n']' returned non-zero exit status 1.\r\n\r\nERROR\r\n\r\n======================================================================\r\nERROR: test_with_pip (test.test_venv.EnsurePipTest)\r\n----------------------------------------------------------------------\r\nTraceback (most recent call last):\r\n File \"/media/cdodd/box/projects/contrib/cpython/Lib/test/test_venv.py\", line 551, in test_with_pip\r\n self.do_test_with_pip(True)\r\n File \"/media/cdodd/box/projects/contrib/cpython/Lib/test/test_venv.py\", line 517, in do_test_with_pip\r\n out, err = check_output([envpy,\r\n File \"/media/cdodd/box/projects/contrib/cpython/Lib/test/test_venv.py\", line 46, in check_output\r\n raise subprocess.CalledProcessError(\r\nsubprocess.CalledProcessError: Command '['/tmp/tmpr0dlj3q6/bin/python', '-W', 'ignore::DeprecationWarning', '-W', 'ignore::ImportWarning', '-I', '-m', 'ensurepip._uninstall']' returned non-zero exit status 1.\r\n```\r\n\r\n\r\n\r\n\r\nhttps://bugs.python.org/issue46197\r\n\r\nhttps://github.com/python/cpython/issues/90355\r\n#30307" created_at = "2022-05-16T18:48:04Z" updated_at = "2022-05-16T19:14:55Z" merge_commit_sha = 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frame->localsplus[oparg]\r\n if (value == NULL) { goto unbound_local_error; }\r\n value->ob_refcnt++;\r\n *stack_pointer++ = value;\r\n _Py_CODEUNIT word = *next_instr;\r\n opcode = word & 255;\r\n oparg = word >> 8;\r\n opcode |= cframe.use_tracing;\r\n goto *opcode_targets[opcode];\r\n```\r\n\r\nThe most common opcode after:\r\n\r\n```c\r\nTARGET_LOAD_FAST_KNOWN_QUICK:\r\n next_instr++;\r\n PyObject *value = frame->localsplus[oparg]\r\n value->ob_refcnt++;\r\n *stack_pointer++ = value;\r\n _Py_CODEUNIT word = *next_instr;\r\n opcode = word & 255;\r\n oparg = word >> 8;\r\n goto *opcode_targets[opcode];\r\n```\r\n\r\nIn particular:\r\n\r\n* The write to `frame->prev_instr` is removed.\r\n* The NULL-check and branch are removed.\r\n* The memory read and `|=` are removed.\r\n\r\nNone of these were particularly significant in isolation, but together, they accounted for an approximately 1% speedup in pyperformance." created_at = "2022-05-13T04:41:23Z" updated_at = "2022-05-17T15:19:47Z" 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Better to fail\r\nfast.\r\n\r\nThis also refactors the tests to split out the `fromtimestamp` and\r\n`utcfromtimestamp` tests, and to get us closer to the actual desired\r\nlimits of the functions. As part of this, we also changed the way we\r\ndetect platforms where the same limits don't necessarily apply (e.g.\r\nWindows).\r\n\r\nAs part of refactoring the tests to hit this condition explicitly (even\r\nthough the user-facing behvior doesn't change in any way we plan to\r\nguarantee), I noticed that there was a difference in the places that\r\n`datetime.utcfromtimestamp` fails in the C and pure Python versions, which\r\nwas fixed by skipping the \"probe for fold\" logic for UTC specifically —\r\nsince UTC doesn't have any folds or gaps, we were never going to find a\r\nfold value anyway. 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935266405 node_id = "PR_kwDOBN0Z8c43vwhl" html_url = "https://github.com/python/cpython/pull/92746" diff_url = "https://github.com/python/cpython/pull/92746.diff" patch_url = "https://github.com/python/cpython/pull/92746.patch" issue_url = "https://api.github.com/repos/python/cpython/issues/92746" number = 92746 state = "closed" locked = false title = "[3.10] Check result of utc_to_seconds and skip fold probe in pure Python (GH-91581)" body = "The `utc_to_seconds` call can fail, here's a minimal reproducer on\r\nLinux:\r\n\r\nTZ=UTC python -c \"from datetime import *; datetime.fromtimestamp(253402300799 + 1)\"\r\n\r\nThe old behavior still raised an error in a similar way, but only\r\nbecause subsequent calculations happened to fail as well. Better to fail\r\nfast.\r\n\r\nThis also refactors the tests to split out the `fromtimestamp` and\r\n`utcfromtimestamp` tests, and to get us closer to the actual desired\r\nlimits of the functions. As part of this, we also changed the way we\r\ndetect platforms where the same limits don't necessarily apply (e.g.\r\nWindows).\r\n\r\nAs part of refactoring the tests to hit this condition explicitly (even\r\nthough the user-facing behvior doesn't change in any way we plan to\r\nguarantee), I noticed that there was a difference in the places that\r\n`datetime.utcfromtimestamp` fails in the C and pure Python versions, which\r\nwas fixed by skipping the \"probe for fold\" logic for UTC specifically —\r\nsince UTC doesn't have any folds or gaps, we were never going to find a\r\nfold value anyway. This should prevent some failures in the pure python\r\n`utcfromtimestamp` method on timestamps close to 0001-01-01.\r\n\r\nThere are two separate news entries for this because one is a\r\npotentially user-facing change, the other is an internal code\r\ncorrectness change that, if anything, changes some error messages. 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Better to fail\r\nfast.\r\n\r\nThis also refactors the tests to split out the `fromtimestamp` and\r\n`utcfromtimestamp` tests, and to get us closer to the actual desired\r\nlimits of the functions. As part of this, we also changed the way we\r\ndetect platforms where the same limits don't necessarily apply (e.g.\r\nWindows).\r\n\r\nAs part of refactoring the tests to hit this condition explicitly (even\r\nthough the user-facing behvior doesn't change in any way we plan to\r\nguarantee), I noticed that there was a difference in the places that\r\n`datetime.utcfromtimestamp` fails in the C and pure Python versions, which\r\nwas fixed by skipping the \"probe for fold\" logic for UTC specifically —\r\nsince UTC doesn't have any folds or gaps, we were never going to find a\r\nfold value anyway. 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Note that not all parts and not all builders of Sphinx can be parallelized. If `auto` argument is given, Sphinx uses the number of CPUs as _N_.\r\n\r\nhttps://www.sphinx-doc.org/en/master/man/sphinx-build.html#cmdoption-sphinx-build-j\r\n\r\n# Test on a new 10-core Mac\r\n\r\n```sh\r\nmake -C Doc clean venv; time make -C Doc html\r\n```\r\n\r\n## Results of two runs before\r\n\r\n```\r\nmake -C Doc html 64.83s user 0.84s system 98% cpu 1:06.79 total\r\nmake -C Doc html 64.61s user 0.84s system 99% cpu 1:06.04 total\r\n```\r\n\r\n## Results of two runs after\r\n\r\n```\r\nmake -C Doc html 73.28s user 3.09s system 219% cpu 34.826 total\r\nmake -C Doc html 74.05s user 3.09s system 221% cpu 34.791 total\r\n```\r\n\r\nThat's nearly twice as fast: 1m06s -> 35s\r\n\r\n# Test on an old dual-core Mac\r\n\r\n## Results of one run before\r\n\r\n```\r\nmake -C Doc html 204.87s user 5.07s system 94% cpu 3:41.28 total\r\n```\r\n\r\n## Results of one runs before\r\n\r\n```\r\nmake -C Doc html 278.01s user 13.18s system 196% cpu 2:28.38 total\r\n```\r\n\r\nThat's about 1.5x 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section for PEP 594 modules; mention rm version & alternatives" body = "As discussed in #92611 , currently the experience is pretty subpar for users trying to get even basic information about the deprecations from PEP 594 in the relevant modules' docs. 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test_ssl.ThreadedEchoServer exceptions appear in a main thread" body = "This PR:\r\n\r\n- rewrites `ThreadedEchoServer` as a Task that returns exceptions via a Future instead of printing them into a console\r\n- teaches the server to force-close client connections on exceptions so a client thread gets `ConnectionAbortedError` / `ConnectionResetError`\r\n- adds a client-side context manager that waits for `Connection*Error` to rethrow from the future\r\n\r\nAdvantages:\r\n\r\n- expected exceptions (caused by `*_fail` test cases) do not flood a console with unnecessary stack traces (and a heart of a watcher with fear)\r\n- expected exceptions can be fed into `assertRaises`; unexpected exceptions will migrate into a Tests Result report footnote without a need to scroll the log hundreds lines up\r\n- a server-side exception will not hang a main thread until a socket reading timeout triggers\r\n- separation of domain-specific client handling and other server and interthread communication tasks\r\n\r\nTODO (hence a draft):\r\n\r\n- port all test cases to a new class\r\n- add new features into the server if necessary\r\n- remove the original `ThreadedEchoServer`\r\n\r\nPlans for another PR: there are other test suits that use multithreaded servers; port them too.\r\n\r\n
Before/after example for artificially introduced grammar error\r\n\r\n- Before:\r\n\r\n ```plain\r\n [...]\r\n test_read_write_zero (test.test_ssl.BasicSocketTests.test_read_write_zero) ... server: new connection from ('127.0.0.1', 52527)\r\n Warning -- Uncaught thread exception: NameError\r\n Exception in thread Thread-2:\r\n Traceback (most recent call last):\r\n File \"C:\\Users\\oleg\\Documents\\dev\\notmine\\cpython\\Lib\\threading.py\", line 1031, in _bootstrap_inner\r\n self.run()\r\n ^^^^^^^^^^\r\n File \"C:\\Users\\oleg\\Documents\\dev\\notmine\\cpython\\Lib\\test\\test_ssl.py\", line 2500, in run\r\n wwww()\r\n ^^^^\r\n NameError: name 'wwww' is not defined\r\n [the main thread waits indefinitely here]\r\n ```\r\n\r\n- After:\r\n\r\n ```plain\r\n [...]\r\n ======================================================================\r\n ERROR: test_dual_rsa_ecc (test.test_ssl.ThreadedTests.test_dual_rsa_ecc)\r\n ----------------------------------------------------------------------\r\n Traceback (most recent call last):\r\n File \"C:\\Users\\oleg\\Documents\\dev\\notmine\\cpython\\Lib\\concurrent\\futures\\thread.py\", line 58, in run\r\n result = self.fn(*self.args, **self.kwargs)\r\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n File \"C:\\Users\\oleg\\Documents\\dev\\notmine\\cpython\\Lib\\test\\support\\threading_helper.py\", line 279, in server_func\r\n return client_func(client, peer_address, *args, **kwargs)\r\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n File \"C:\\Users\\oleg\\Documents\\dev\\notmine\\cpython\\Lib\\test\\test_ssl.py\", line 337, in on_client\r\n wwww()\r\n ^^^^\r\n NameError: name 'wwww' is not defined\r\n \r\n The above exception was the direct cause of the following exception:\r\n \r\n Traceback (most recent call last):\r\n File \"C:\\Users\\oleg\\Documents\\dev\\notmine\\cpython\\Lib\\test\\test_ssl.py\", line 3308, in test_dual_rsa_ecc\r\n with Server(context=server_context) as address:\r\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n File \"C:\\Users\\oleg\\Documents\\dev\\notmine\\cpython\\Lib\\test\\test_ssl.py\", line 492, in __exit__\r\n raise RuntimeError(\"server-side error\") from self.server.exception()\r\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n RuntimeError: server-side error\r\n \r\n ----------------------------------------------------------------------\r\n Ran 178 tests in 28.456s\r\n \r\n FAILED (errors=3, skipped=13)\r\n Warning -- threading._dangling was modified by test_ssl\r\n Warning -- Before: {}\r\n Warning -- After: {, > } \r\n test test_ssl failed\r\n test_ssl failed (3 errors)\r\n \r\n == Tests result: FAILURE ==\r\n \r\n 1 test failed:\r\n test_ssl\r\n \r\n Total duration: 28.8 sec\r\n Tests result: FAILURE\r\n ```\r\n\r\n
\r\n\r\nWhile conversion the following simplifications were made:\r\n\r\n- thread creation for each new client has no use in single-shot disposable servers, they need to be created fresh for every test case anyway\r\n\r\n- stop() has no use either; there is no interactive session as well as waiting for other users. To test server-side connection abruption, it's better to instruct a server instance on its creation\r\n\r\n- wrap_conn() either modified self.sslconn and returned True, or swallowed exceptions and returned False. Now it either directly returns sslconn (to avoid `nonlocal`) or lets an exception to bubble up through a future into a main thread. The main thread, in its turn, either expects it with assertRaises() or lets it bubble further so the test case is reported as failed\r\n\r\n- interthread bubbling up means no need in conn_errors list that stored exceptions until a client pulls them\r\n\r\n- universal read-write-close operations are changed from branching inside a universal function to preliminary assignment of specific implementation into variables\r\n\r\n- constant repetition of `if support.verbose and chatty:` / `sys.stdout.write(' server: ...\\n')` is moved into log()\r\n\r\n- `chatty` and `connectionchatty` flags are merged to form a single story of communication between a client and a server\r\n\r\n- the first usage of ThreadedEchoServer is on line 1286 while the server itself was declared a thousand lines later, starting with line 2557; the new implementation is put before the first usage for sequential narration\r\n\r\n- server socket timeout has no use because the only operation it limits is listen(). 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I think the version in my branch uses more helper functions in a way that improves readability, but your version does things in a way that's more consistent with the new design of typing.py - and of course fixes a lot of the C stuff that my branch doesn't touch. How do you want to proceed here?\r\n\r\nQuick summary of what's in this PR:\r\n* Forbid the use of unpacked arguments unless the generic alias can take an arbitrary number of type parameters (as determined by checking for a TypeVarTuple in the parameter list)\r\n* Unpack finite-length tuples in argument lists" created_at = "2022-05-07T15:02:07Z" updated_at = "2022-05-08T11:03:37Z" closed_at = "2022-05-07T15:05:48Z" merge_commit_sha = "1066ee9c316adf6cbbcaa1ad8341186720ce5e42" assignees = [] requested_teams = [] draft = false commits_url = "https://api.github.com/repos/python/cpython/pulls/92427/commits" review_comments_url = "https://api.github.com/repos/python/cpython/pulls/92427/comments" review_comment_url = "https://api.github.com/repos/python/cpython/pulls/comments{/number}" comments_url = "https://api.github.com/repos/python/cpython/issues/92427/comments" statuses_url = "https://api.github.com/repos/python/cpython/statuses/5a368c4e5b55084e789bd3d9ae6c227e91d41fe1" 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62)\r\n 14 CACHE 0\r\n 16 CACHE 0 (builtin_keys_version: 26)\r\n 18 LOAD_CONST 1 (42)\r\n 20 PRECALL_BUILTIN_CLASS 1\r\n 22 CACHE 0 (counter: 53)\r\n 24 CALL_ADAPTIVE 1\r\n 26 CACHE 0 (counter: 0)\r\n 28 CACHE 0 (func_version: 0)\r\n 30 CACHE 0\r\n 32 CACHE 0 (min_args: 0)\r\n 34 GET_ITER\r\n 36 FOR_ITER 23 (to 84)\r\n 38 STORE_FAST__LOAD_FAST 1 (i)\r\n\r\n 4 40 LOAD_FAST 0 (l)\r\n 42 LOAD_METHOD_NO_DICT 1 (append)\r\n 44 CACHE 0 (counter: 53)\r\n 46 CACHE 0 (type_version: 3)\r\n 48 CACHE 0\r\n 50 CACHE 0 (dict_offset: 0)\r\n 52 CACHE 0 (keys_version: 0)\r\n 54 CACHE 0\r\n 56 CACHE 0 (descr: 140374364819376)\r\n 58 CACHE 0\r\n 60 CACHE 0\r\n 62 CACHE 0\r\n 64 LOAD_FAST 1 (i)\r\n 66 PRECALL_NO_KW_LIST_APPEND 1\r\n 68 CACHE 0 (counter: 53)\r\n 70 CALL_ADAPTIVE 1\r\n 72 CACHE 0 (counter: 0)\r\n 74 CACHE 0 (func_version: 0)\r\n 76 CACHE 0\r\n 78 CACHE 0 (min_args: 0)\r\n 80 POP_TOP\r\n 82 JUMP_BACKWARD_QUICK 24 (to 36)\r\n\r\n 3 >> 84 LOAD_CONST 0 (None)\r\n 86 RETURN_VALUE\r\n```\r\n\r\n@pablogsal, since this aids in debugging our new adaptive/specialized instructions and inline caches, I'd prefer to get this into 3.11 if possible. 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92317 state = "open" locked = false title = "gh-51574: Return the absolute path in `tempfile.mkdtemp()`" body = "This is a fix for old problems (gh-51574, gh-64466) where `tempfile.mkdtemp()` would not return an absolute path if a relative directory was specified.\r\n\r\nThis doesn't solve any global problem, but it does make the result consistent\r\nJudging by [grep.app](https://grep.app/search?q=%28TemporaryDirectory%5C%28dir%3D%5C%22%5C.%5C%22%5C%29%29%7C%28mkdtemp%5C%28dir%3D%5C%22%5C.%5C%22%5C%29%29®exp=true&filter[lang][0]=Python) this case occurred in a small number of projects and shouldn't break everything after the upgrade\r\n\r\nAs @serhiy-storchaka mentioned https://github.com/python/cpython/issues/64466#issuecomment-1093642375\r\nthe temporary directory will not be deleted if you rename the parent directory\r\n\r\n```\r\nPython 3.8.12 (default, Nov 23 2021, 17:00:15)\r\n[Clang 13.0.0 (clang-1300.0.29.3)] on darwin\r\nType \"help\", \"copyright\", \"credits\" or \"license\" for more information.\r\n>>> import os, tempfile\r\n>>> os.mkdir('parent')\r\n>>> os.chdir('parent')\r\n>>> t = tempfile.TemporaryDirectory(dir=\".\")\r\n>>> os.rename('../parent', '../parent2')\r\n>>> t.cleanup()\r\n>>> os.path.exists(\"../parent2/\" + t.name.split(\"/\")[-1])\r\nFalse\r\n```\r\n\r\n```\r\nPython 3.11.0a7+ (heads/main-dirty:e61330b44f, May 4 2022, 23:41:57) [Clang 13.1.6 (clang-1316.0.21.2)] on darwin\r\nType \"help\", \"copyright\", \"credits\" or \"license\" for more information.\r\n>>> import os, tempfile\r\n>>> os.mkdir('parent')\r\n>>> os.chdir('parent')\r\n>>> t = tempfile.TemporaryDirectory(dir=\".\")\r\n>>> os.rename('../parent', '../parent2')\r\n>>> t.cleanup()\r\n>>> os.path.exists(\"../parent2/\" + t.name.split(\"/\")[-1])\r\nTrue\r\n```\r\n\r\nBut it seems normal - now the behavior of TemporaryDirectory and NamedTemporaryFile is the same, in the sense that both classes do not delete the temporary directory/file if it no longer exists in the old path\r\n\r\n```\r\nPython 3.8.12 (default, Nov 23 2021, 17:00:15)\r\n[Clang 13.0.0 (clang-1300.0.29.3)] on darwin\r\n>>> import os, tempfile\r\n>>> os.mkdir('parent')\r\n>>> os.chdir('parent')\r\n>>> t = tempfile.TemporaryDirectory(dir=\".\")\r\n>>> os.rename('../parent', '../parent2')\r\n>>> t.__exit__(None, None, None)\r\nTraceback (most recent call last):\r\n File \"\", line 1, in \r\n File \"/Users/marat/.pyenv/versions/3.8.12/lib/python3.8/tempfile.py\", line 492, in __exit__\r\n self.close()\r\n File \"/Users/marat/.pyenv/versions/3.8.12/lib/python3.8/tempfile.py\", line 499, in close\r\n self._closer.close()\r\n File \"/Users/marat/.pyenv/versions/3.8.12/lib/python3.8/tempfile.py\", line 436, in close\r\n unlink(self.name)\r\nFileNotFoundError: [Errno 2] No such file or directory: '/private/tmp/parent/tmp4ztw557q'\r\n```\r\n\r\n(It might be worth adding the same error for TemporaryDirectory, that the directory does not exist)\r\n" created_at = "2022-05-04T23:44:55Z" updated_at = 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\nRelease notes\n

Sourced from actions/setup-node's releases.

\n
\n

Update actions/cache version to 2.0.2

\n

In scope of this release we updated actions/cache package as the new version contains fixes related to GHES 3.5 (actions/setup-node#460)

\n

v3.0.0

\n

In scope of this release we changed version of the runtime Node.js for the setup-node action and updated package-lock.json file to v2.

\n

Breaking Changes

\n
    \n
  • With the update to Node 16 in actions/setup-node#414, all scripts will now be run with Node 16 rather than Node 12.
    • \n
  • We removed deprecated version input (actions/setup-node#424). Please use node-version input instead.
    • \n
\n

Fix logic of error handling for npm warning and uncaught exception

\n

In scope of this release we fix logic of error handling related to caching (actions/setup-node#358) and (actions/setup-node#359).

\n

In the previous behaviour we relied on stderr output to throw error. The warning messages from package managers can be written to the stderr's output. For now the action will throw an error only if exit code differs from zero. Besides, we add logic to Ñatch and log unhandled exceptions.

\n

Adding Node.js version file support

\n

In scope of this release we add the node-version-file input and update actions/cache dependency to the latest version.

\n

Adding Node.js version file support

\n

The new input (node-version-file) provides functionality to specify the path to the file containing Node.js's version with such behaviour:

\n
    \n
  • If the file does not exist the action will throw an error.
    • \n
  • If you specify both node-version and node-version-file inputs, the action will use value from the node-version input and throw the following warning: Both node-version and node-version-file inputs are specified, only node-version will be used.
    • \n
  • For now the action does not support all of the variety of values for Node.js version files. The action can handle values according to the documentation and values with v prefix (v14)
    • \n
\n
steps:\n  - uses: actions/checkout@v2\n  - name: Setup node from node version file\n    uses: actions/setup-node@v2\n    with:\n      node-version-file: '.nvmrc'\n  - run: npm install\n  - run: npm test\n
\n

Update actions/cache dependency to 1.0.8 version.

\n

We updated actions/cache dependency to the latest version (1.0.8). For more information please refer to the toolkit/cache.

\n

Add "cache-hit" output

\n

This release introduces a new output: cache-hit (#327).

\n

The cache-hit output contains boolean value indicating that an exact match was found for the key. It shows that the action uses already existing cache or not. The output is available only if cache is enabled.

\n

Support caching for mono repos and repositories with complex structure

\n

This release introduces dependency caching support for mono repos and repositories with complex structure (#305).

\n

By default, the action searches for the dependency file (package-lock.json or yarn.lock) in the repository root. Use the cache-dependency-path input for cases when multiple dependency files are used, or they are located in different subdirectories. This input supports wildcards or a list of file names for caching multiple dependencies.

\n

Yaml example:

\n
</tr></table> \n
\n
\n

... (truncated)

\n
\n
\nCommits\n
    \n
  • 56337c4 Updated @\u200bactions/cache (#460)
    • \n
  • 76d3665 Convert CONDUCT to CODE_OF_CONDUCT.md (#391)
    • \n
  • 5b52f09 Bump actions/checkout@v3 within advanced usage examples documentation (#456)
    • \n
  • 7571663 Bump to actions/checkout@v3 (#437)
    • \n
  • 546fd45 Updated documentation/workflows to use actions/setup-node@v3 (#433)
    • \n
  • bacd6b4 Caching on GHES (#452)
    • \n
  • bed538b Merge pull request #448 from actions/dependabot/npm_and_yarn/minimist-1.2.6
    • \n
  • f3e93d1 Bump minimist from 1.2.5 to 1.2.6
    • \n
  • ed960c9 Merge pull request #440 from actions/joshmgross/service-codeowners
    • \n
  • 77f43a4 Update CODEOWNERS to actions-service
    • \n
  • Additional commits viewable in compare view
    • \n
\n
\n
\n\n\n[![Dependabot compatibility score](https://dependabot-badges.githubapp.com/badges/compatibility_score?dependency-name=actions/setup-node&package-manager=github_actions&previous-version=2&new-version=3)](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores)\n\nDependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`.\n\n[//]: # (dependabot-automerge-start)\n[//]: # (dependabot-automerge-end)\n\n---\n\n
\nDependabot commands and options\n
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\nRelease notes\n

Sourced from actions/github-script's releases.

\n
\n

v6.0.0

\n

What's Changed

\n\n

Breaking Changes

\n

With the update to Node 16 in #235, all scripts will now be run with Node 16 rather than Node 12.

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New Contributors

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Full Changelog: https://github.com/actions/github-script/compare/v5...v6.0.0

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v5.1.0

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What's Changed

\n\n

New Contributors

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Full Changelog: https://github.com/actions/github-script/compare/v5.0.0...v5.1.0

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  • 6689be4 Merge pull request #237 from actions/joshmgross/audit-fix
    • \n
  • 5541733 Add an example using ESM import
    • \n
  • cd8eebf Release version 6.0.0
    • \n
  • 72fadf4 Update @actions/core to 1.6.0
    • \n
  • d526c04 Update node-fetch license
    • \n
  • 2c946f1 Run npm audit fix
    • \n
  • 41e1ab4 Merge pull request #235 from thboop/patch-1
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  • 8af6051 build(deps-dev): bump jest-circus from 27.2.0 to 27.4.6 (#665)
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  • 04a1828 build(deps-dev): bump ts-jest from 27.0.5 to 27.1.2 (#641)
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  • 6c2f9f3 Merge pull request #640 from dmitry-shibanov/v-dmshib/fix-check-dist
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repopulates its cache.\r\n\r\nAn object which has no associated module filename will trigger this\r\nrepopulation loop every time getmodule is called. The cost is easily\r\nseen with inspect.getstack\r\n\r\n```\r\ndef run_test(module):\r\n # cols have stack depths\r\n # rows have len(sys.modules)\r\n\r\n def print_line(h, *vals):\r\n if not h:\r\n print(\"%5s\" % h, *[\"%6i\" % v for v in vals])\r\n else:\r\n print(\"%5s\" % h, *[\"%6.1f\" % v for v in vals])\r\n\r\n def add_modules(n):\r\n import random\r\n import sys\r\n for _ in range(n):\r\n sys.modules[f\"foo_{random.randint(0,2**64)}\"] = module\r\n\r\n def measure(depth):\r\n import inspect\r\n import timeit\r\n\r\n def nest(level):\r\n if level > 0:\r\n return nest(level-1)\r\n else:\r\n dur = timeit.timeit(lambda: inspect.stack(), number=1)\r\n return dur * 1000\r\n\r\n return nest(depth)\r\n\r\n import sys\r\n print_line(\"\", *[2**e for e in range(7)])\r\n for i in range(1, 5):\r\n add_modules(n=10**i)\r\n times = [measure(depth=2**e) for e in range(7)]\r\n print_line(len(sys.modules), *times)\r\n\r\npython 3.11.0a7+ optimized build ====\r\n\r\n# sys has no __file__ and doesn't enter getmodule cache\r\n>>> import sys\r\n>>> run_test(sys)\r\n 1 2 4 8 16 32 64\r\n 87 2.1 0.8 1.0 1.3 2.0 3.3 6.1\r\n 187 2.0 2.5 2.7 3.6 5.5 9.5 16.8\r\n 1187 13.6 15.7 19.1 26.3 39.6 67.4 123.3\r\n11187 134.1 150.3 183.4 252.0 383.5 750.3 1189.8\r\n>>> exit()\r\n\r\n>>> import random\r\n>>> run_test(random)\r\n 1 2 4 8 16 32 64\r\n 87 2.1 0.7 0.9 1.2 1.7 2.9 5.6\r\n 187 2.3 1.1 1.5 1.8 2.5 4.3 7.8\r\n 1187 17.0 4.3 5.6 7.1 11.1 18.6 33.9\r\n11187 164.6 37.4 45.7 61.6 94.7 161.0 297.7\r\n>>> exit()\r\n\r\npython 3.11.0a7+ optimized build, with changes ====\r\n\r\n>>> import sys\r\n>>> run_test(sys)\r\n 1 2 4 8 16 32 64\r\n 87 1.7 0.2 0.2 0.3 0.4 0.6 1.2\r\n 187 0.2 0.2 0.2 0.2 0.3 0.5 0.9\r\n 1187 0.2 0.2 0.2 0.3 0.3 0.5 0.9\r\n11187 0.3 0.3 0.3 0.3 0.5 0.8 1.3\r\n>>> exit()\r\n\r\n>>> import random\r\n>>> run_test(random)\r\n 1 2 4 8 16 32 64\r\n 87 1.8 0.2 0.2 0.3 0.4 0.6 1.2\r\n 187 0.2 0.2 0.2 0.3 0.3 0.6 0.9\r\n 1187 0.2 0.2 0.2 0.3 0.4 0.5 0.9\r\n11187 0.3 0.2 0.2 0.3 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this:\r\n\r\n![image](https://user-images.githubusercontent.com/46876382/165234670-dfa8ccb8-5bed-42cb-873b-ff24a1db9ddf.png)\r\n\r\nand I'm not sure if that's correct and I couldn't quite find any precedent to refer to.\r\n\r\n---\r\n\r\nContinuation of https://github.com/python/cpython/pull/91683 - turns out there are a whole lot more functions with position-only parameters than I thought, so this is how I checked them:\r\n\r\nTo get all methods in the docs with at least one parameter:\r\n\r\n```\r\ncat Doc/library/io.rst | grep method:: | grep -v '()' | cut -f6 -d' ' | cut -f1 -d'(' | sort | uniq > all_io.txt\r\n```\r\n\r\nwhich gives\r\n\r\n```\r\npeek\r\nread\r\nread1\r\nreadinto\r\nreadinto1\r\nreadline\r\nreadlines\r\nreconfigure\r\nseek\r\ntruncate\r\nwrite\r\nwritelines\r\n```\r\n\r\nThen of those methods, get all methods that don't have trailing position-only markers:\r\n\r\n```\r\ncat all_io.txt | xargs -n1 -I {} grep -r '{}(\\$' Modules/_io/clinic/ | grep -v '/)\\\\n'\r\n```\r\n\r\nwhich gave [`reconfigure`](https://github.com/python/cpython/blob/main/Modules/_io/clinic/textio.c.h#L279), the only method with parameters that doesn't have position-only parameters. 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This is done in a variety of ways:\r\n\r\n1.\r\n```\r\nobj = Py_NewRef(Py_None);\r\n```\r\n\r\n2.\r\n```\r\nobj = Py_None;\r\nPy_INCREF(obj);\r\n```\r\n\r\n3.\r\n```\r\nPy_INCREF(Py_None);\r\nobj = Py_None;\r\n```\r\n\r\n4.\r\n```\r\nobj = Py_None;\r\nPy_INCREF(Py_None);\r\n```\r\n\r\n5.\r\n```\r\nobj = (Py_INCREF(Py_None), Py_None);\r\n```\r\n\r\nThe helpers implemented here add another way that can hopefully become more idiomatic:\r\n\r\n6.\r\n```\r\nobj = Py_RefNone();\r\n```\r\n\r\nOne advantage of using the new helpers is that it abstracts away the necessity to increment the reference count if [immortal instances](https://github.com/python/cpython/pull/19474) are implemented.\r\n\r\nAlternatively, if immortal instances aren't implemented and all singletons are made per-interpreter, it will slightly reduce the performance overhead by making sure that the singletons are only obtained once (compared to patterns 3, 4, and 5, where the singetons are obtained twice)." created_at = 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at end of function" body = "This pushes the except blocks to the end of the function so that there is no jump over this code when there is no exception.\r\n\r\nExample:\r\n\r\n```\r\ndef f():\r\n try:\r\n x = \"try\"\r\n except:\r\n x = \"except\"\r\n finally:\r\n x = \"finally\"\r\n return x\r\n```\r\n\r\nBecomes:\r\n\r\n```\r\n 1 0 RESUME 0\r\n\r\n 2 2 NOP\r\n\r\n 3 4 LOAD_CONST 1 ('try')\r\n 6 STORE_FAST 0 (x)\r\n 8 NOP\r\n\r\n 7 10 LOAD_CONST 3 ('finally')\r\n 12 STORE_FAST 0 (x)\r\n\r\n 8 14 LOAD_FAST 0 (x)\r\n 16 RETURN_VALUE\r\n\r\n 5 >> 18 NOP\r\n\r\n 7 20 LOAD_CONST 3 ('finally')\r\n 22 STORE_FAST 0 (x)\r\n\r\n 8 24 LOAD_FAST 0 (x)\r\n 26 RETURN_VALUE\r\n >> 28 PUSH_EXC_INFO\r\n\r\n 7 30 LOAD_CONST 3 ('finally')\r\n 32 STORE_FAST 0 (x)\r\n\r\n 8 34 LOAD_FAST 0 (x)\r\n 36 SWAP 2\r\n 38 POP_TOP\r\n 40 SWAP 2\r\n 42 POP_EXCEPT\r\n 44 RETURN_VALUE\r\n >> 46 COPY 3\r\n 48 POP_EXCEPT\r\n 50 RERAISE 1\r\n >> 52 PUSH_EXC_INFO\r\n\r\n 4 54 POP_TOP\r\n\r\n 5 56 LOAD_CONST 2 ('except')\r\n 58 STORE_FAST 0 (x)\r\n 60 POP_EXCEPT\r\n 62 JUMP_BACKWARD 23 (to 18)\r\n >> 64 COPY 3\r\n 66 POP_EXCEPT\r\n 68 RERAISE 1\r\nExceptionTable:\r\n 4 to 6 -> 52 [0]\r\n 28 to 40 -> 46 [1] lasti\r\n 52 to 58 -> 64 [1] lasti\r\n 60 to 68 -> 28 [0]\r\n```\r\n\r\ninstead of:\r\n\r\n```\r\n 1 0 RESUME 0\r\n\r\n 2 2 NOP\r\n\r\n 3 4 LOAD_CONST 1 ('try')\r\n 6 STORE_FAST 0 (x)\r\n 8 JUMP_FORWARD 9 (to 28) <-- This jump was removed\r\n >> 10 PUSH_EXC_INFO\r\n\r\n 4 12 POP_TOP\r\n\r\n 5 14 LOAD_CONST 2 ('except')\r\n 16 STORE_FAST 0 (x)\r\n 18 POP_EXCEPT\r\n 20 JUMP_FORWARD 8 (to 38)\r\n >> 22 COPY 3\r\n 24 POP_EXCEPT\r\n 26 RERAISE 1\r\n\r\n 3 >> 28 NOP\r\n\r\n 7 30 LOAD_CONST 3 ('finally')\r\n 32 STORE_FAST 0 (x)\r\n\r\n 8 34 LOAD_FAST 0 (x)\r\n 36 RETURN_VALUE\r\n\r\n 5 >> 38 NOP\r\n\r\n 7 40 LOAD_CONST 3 ('finally')\r\n 42 STORE_FAST 0 (x)\r\n\r\n 8 44 LOAD_FAST 0 (x)\r\n 46 RETURN_VALUE\r\n >> 48 PUSH_EXC_INFO\r\n\r\n 7 50 LOAD_CONST 3 ('finally')\r\n 52 STORE_FAST 0 (x)\r\n\r\n 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"https://api.github.com/users/vstinner/subscriptions" organizations_url = "https://api.github.com/users/vstinner/orgs" repos_url = "https://api.github.com/users/vstinner/repos" events_url = "https://api.github.com/users/vstinner/events{/privacy}" received_events_url = "https://api.github.com/users/vstinner/received_events" type = "User" site_admin = false [data.head.repo.license] key = "other" name = "Other" spdx_id = "NOASSERTION" node_id = "MDc6TGljZW5zZTA=" [data.base.repo.owner] login = "python" id = 1525981 node_id = "MDEyOk9yZ2FuaXphdGlvbjE1MjU5ODE=" avatar_url = "https://avatars.githubusercontent.com/u/1525981?v=4" gravatar_id = "" url = "https://api.github.com/users/python" html_url = "https://github.com/python" followers_url = "https://api.github.com/users/python/followers" following_url = "https://api.github.com/users/python/following{/other_user}" gists_url = "https://api.github.com/users/python/gists{/gist_id}" starred_url = "https://api.github.com/users/python/starred{/owner}{/repo}" subscriptions_url = "https://api.github.com/users/python/subscriptions" organizations_url = "https://api.github.com/users/python/orgs" repos_url = "https://api.github.com/users/python/repos" events_url = "https://api.github.com/users/python/events{/privacy}" received_events_url = "https://api.github.com/users/python/received_events" type = "Organization" site_admin = false [data.base.repo.license] key = "other" name = "Other" spdx_id = "NOASSERTION" node_id = "MDc6TGljZW5zZTA=" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_tomli_loads/generate_data.py000066400000000000000000000011331514162565100315740ustar00rootroot00000000000000from urllib.request import urlopen import json import toml BASE_URL = "https://api.github.com/repos/python/cpython/pulls?per_page=1000&state=all" def main(): all_issues = [] for page in range(1, 11): with urlopen(f"{BASE_URL}&page={page}") as response: issues = json.loads(response.read()) if not issues: break all_issues.extend(issues) print(f"Page: {page} Total Issues: {len(all_issues)}") with open("issues.toml", "w") as f: f.write(toml.dumps({"data": all_issues})) if __name__ == "__main__": main() pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_tomli_loads/pyproject.toml000066400000000000000000000004011514162565100313500ustar00rootroot00000000000000[project] name = "pyperformance_bm_tomli_loads" requires-python = ">=3.8" dependencies = ["pyperf", "tomli"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "tomli_loads" tags = "serialize" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_tomli_loads/requirements.txt000066400000000000000000000000151514162565100317210ustar00rootroot00000000000000tomli==2.0.1 pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_tomli_loads/run_benchmark.py000066400000000000000000000014471514162565100316370ustar00rootroot00000000000000""" Benchmark ``loads()`` function of the ``tomli`` module on a large TOML file of GitHub's real world data generated by the ``generate_data.py`` script. It heavily exercises string operations such as concatenation, subscripting and iteration. Author: Kumar Aditya """ from pathlib import Path import pyperf import tomli DATA_FILE = Path(__file__).parent / "data" / "tomli-bench-data.toml" def bench_tomli_loads(loops: int) -> float: data = DATA_FILE.read_text('utf-8') range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: tomli.loads(data) return pyperf.perf_counter() - t0 if __name__ == "__main__": runner = pyperf.Runner() runner.metadata['description'] = "Benchmark tomli.loads()" runner.bench_time_func('tomli_loads', bench_tomli_loads) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_tornado_http/000077500000000000000000000000001514162565100266405ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_tornado_http/pyproject.toml000066400000000000000000000004131514162565100315520ustar00rootroot00000000000000[project] name = "pyperformance_bm_tornado_http" requires-python = ">=3.8" dependencies = [ "pyperf", "tornado", ] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "tornado_http" tags = "apps" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_tornado_http/requirements.txt000066400000000000000000000000171514162565100321220ustar00rootroot00000000000000tornado==6.5.2 pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_tornado_http/run_benchmark.py000066400000000000000000000053161514162565100320350ustar00rootroot00000000000000 """Test the performance of simple HTTP serving and client using the Tornado framework. A trivial "application" is generated which generates a number of chunks of data as a HTTP response's body. """ import sys import socket import pyperf from tornado.httpclient import AsyncHTTPClient from tornado.httpserver import HTTPServer from tornado.gen import coroutine from tornado.ioloop import IOLoop from tornado.netutil import bind_sockets from tornado.web import RequestHandler, Application HOST = "127.0.0.1" FAMILY = socket.AF_INET CHUNK = b"Hello world\n" * 1000 NCHUNKS = 5 CONCURRENCY = 150 class MainHandler(RequestHandler): @coroutine def get(self): for i in range(NCHUNKS): self.write(CHUNK) yield self.flush() def compute_etag(self): # Overriden to avoid stressing hashlib in this benchmark return None def make_application(): return Application([ (r"/", MainHandler), ]) def make_http_server(request_handler): server = HTTPServer(request_handler) sockets = bind_sockets(0, HOST, family=FAMILY) assert len(sockets) == 1 server.add_sockets(sockets) sock = sockets[0] return server, sock def bench_tornado(loops): server, sock = make_http_server(make_application()) host, port = sock.getsockname() url = "http://%s:%s/" % (host, port) namespace = {} @coroutine def run_client(): client = AsyncHTTPClient() range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: futures = [client.fetch(url) for j in range(CONCURRENCY)] for fut in futures: resp = yield fut buf = resp.buffer buf.seek(0, 2) assert buf.tell() == len(CHUNK) * NCHUNKS namespace['dt'] = pyperf.perf_counter() - t0 client.close() IOLoop.current().run_sync(run_client) server.stop() return namespace['dt'] if __name__ == "__main__": # 3.8 changed the default event loop to ProactorEventLoop which doesn't # implement everything required by tornado and breaks this benchmark. # Restore the old WindowsSelectorEventLoop default for now. # https://bugs.python.org/issue37373 # https://github.com/python/pyperformance/issues/61 # https://github.com/tornadoweb/tornado/pull/2686 if sys.platform == 'win32' and sys.version_info[:2] >= (3, 8): import asyncio asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy()) runner = pyperf.Runner() runner.metadata['description'] = ("Test the performance of HTTP requests " "with Tornado.") runner.bench_time_func('tornado_http', bench_tornado) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_typing_runtime_protocols/000077500000000000000000000000001514162565100313145ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_typing_runtime_protocols/pyproject.toml000066400000000000000000000003771514162565100342370ustar00rootroot00000000000000[project] name = "pyperformance_bm_typing_runtime_protocols" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "typing_runtime_protocols" run_benchmark.py000066400000000000000000000116451514162565100344340ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_typing_runtime_protocols""" Test the performance of isinstance() checks against runtime-checkable protocols. For programmes that make extensive use of this feature, these calls can easily become a bottleneck. See https://github.com/python/cpython/issues/74690 The following situations all exercise different code paths in typing._ProtocolMeta.__instancecheck__, so each is tested in this benchmark: (1) Comparing an instance of a class that directly inherits from a protocol to that protocol. (2) Comparing an instance of a class that fulfils the interface of a protocol using instance attributes. (3) Comparing an instance of a class that fulfils the interface of a protocol using class attributes. (4) Comparing an instance of a class that fulfils the interface of a protocol using properties. Protocols with callable and non-callable members also exercise different code paths in _ProtocolMeta.__instancecheck__, so are also tested separately. """ import time from typing import Protocol, runtime_checkable import pyperf ################################################## # Protocols to call isinstance() against ################################################## @runtime_checkable class HasX(Protocol): """A runtime-checkable protocol with a single non-callable member""" x: int @runtime_checkable class HasManyAttributes(Protocol): """A runtime-checkable protocol with many non-callable members""" a: int b: int c: int d: int e: int @runtime_checkable class SupportsInt(Protocol): """A runtime-checkable protocol with a single callable member""" def __int__(self) -> int: ... @runtime_checkable class SupportsManyMethods(Protocol): """A runtime-checkable protocol with many callable members""" def one(self) -> int: ... def two(self) -> str: ... def three(self) -> bytes: ... def four(self) -> memoryview: ... def five(self) -> bytearray: ... @runtime_checkable class SupportsIntAndX(Protocol): """A runtime-checkable protocol with a mix of callable and non-callable members""" x: int def __int__(self) -> int: ... ################################################## # Classes for comparing against the protocols ################################################## class Empty: """Empty class with no attributes""" class PropertyX: """Class with a property x""" @property def x(self) -> int: return 42 class HasIntMethod: """Class with an __int__ method""" def __int__(self): return 42 class HasManyMethods: """Class with many methods""" def one(self): return 42 def two(self): return "42" def three(self): return b"42" def four(self): return memoryview(b"42") def five(self): return bytearray(b"42") class PropertyXWithInt: """Class with a property x and an __int__ method""" @property def x(self) -> int: return 42 def __int__(self): return 42 class ClassVarX: """Class with a ClassVar x""" x = 42 class ClassVarXWithInt: """Class with a ClassVar x and an __int__ method""" x = 42 def __int__(self): return 42 class InstanceVarX: """Class with an instance var x""" def __init__(self): self.x = 42 class ManyInstanceVars: """Class with many instance vars""" def __init__(self): for attr in 'abcde': setattr(self, attr, 42) class InstanceVarXWithInt: """Class with an instance var x and an __int__ method""" def __init__(self): self.x = 42 def __int__(self): return 42 class NominalX(HasX): """Class that explicitly subclasses HasX""" def __init__(self): self.x = 42 class NominalSupportsInt(SupportsInt): """Class that explicitly subclasses SupportsInt""" def __int__(self): return 42 class NominalXWithInt(SupportsIntAndX): """Class that explicitly subclasses NominalXWithInt""" def __init__(self): self.x = 42 ################################################## # Time to test the performance of isinstance()! ################################################## def bench_protocols(loops: int) -> float: protocols = [ HasX, HasManyAttributes, SupportsInt, SupportsManyMethods, SupportsIntAndX ] instances = [ cls() for cls in ( Empty, PropertyX, HasIntMethod, HasManyMethods, PropertyXWithInt, ClassVarX, ClassVarXWithInt, InstanceVarX, ManyInstanceVars, InstanceVarXWithInt, NominalX, NominalSupportsInt, NominalXWithInt ) ] t0 = time.perf_counter() for _ in range(loops): for protocol in protocols: for instance in instances: isinstance(instance, protocol) return time.perf_counter() - t0 if __name__ == "__main__": runner = pyperf.Runner() runner.metadata["description"] = ( "Test the performance of isinstance() checks " "against runtime-checkable protocols" ) runner.bench_time_func("typing_runtime_protocols", bench_protocols) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_unpack_sequence/000077500000000000000000000000001514162565100273045ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_unpack_sequence/pyproject.toml000066400000000000000000000003551514162565100322230ustar00rootroot00000000000000[project] name = "pyperformance_bm_unpack_sequence" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "unpack_sequence" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_unpack_sequence/run_benchmark.py000066400000000000000000000507501514162565100325030ustar00rootroot00000000000000"""Microbenchmark for Python's sequence unpacking.""" import pyperf def do_unpacking(loops, to_unpack): range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: # 400 unpackings a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack a, b, c, d, e, f, g, h, i, j = to_unpack return pyperf.perf_counter() - t0 def bench_tuple_unpacking(loops): x = tuple(range(10)) return do_unpacking(loops, x) def bench_list_unpacking(loops): x = list(range(10)) return do_unpacking(loops, x) def bench_all(loops): dt1 = bench_tuple_unpacking(loops) dt2 = bench_list_unpacking(loops) return dt1 + dt2 def add_cmdline_args(cmd, args): if args.benchmark: cmd.append(args.benchmark) if __name__ == "__main__": benchmarks = {"tuple": bench_tuple_unpacking, "list": bench_list_unpacking} runner = pyperf.Runner(add_cmdline_args=add_cmdline_args) runner.metadata['description'] = ("Microbenchmark for " "Python's sequence unpacking.") runner.argparser.add_argument("benchmark", nargs="?", choices=sorted(benchmarks)) options = runner.parse_args() name = 'unpack_sequence' if options.benchmark: func = benchmarks[options.benchmark] name += "_%s" % options.benchmark else: func = bench_all runner.bench_time_func(name, func, inner_loops=400) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_xdsl/000077500000000000000000000000001514162565100251055ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_xdsl/pyproject.toml000066400000000000000000000003501514162565100300170ustar00rootroot00000000000000[project] name = "pyperformance_bm_xdsl" requires-python = ">=3.10" dependencies = ["pyperf", "xdsl==0.46.0"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "xdsl" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_xdsl/requirements.txt000066400000000000000000000000151514162565100303650ustar00rootroot00000000000000xdsl==0.54.3 pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_xdsl/run_benchmark.py000066400000000000000000000077431514162565100303100ustar00rootroot00000000000000""" Benchmark constant folding over a module of integer addition of constants using xDSL's pattern rewriting machinery. The workload module is generated by the ``get_constant_folding_module()`` function, which is then transformed by the ``xdsl.transforms.test_constant_folding.TestConstantFoldingPass`` xDSL transformation pass. xDSL is a Python-native compiler framework built around SSA-based intermediate representations. It re-implements many of MLIR's data structures and methods in Python. This benchmark exercises the simple pattern rewriting transformation of constant folding. This is a fair proxy for pattern rewriting transformations in general, which are a major component of MLIR-like compilers in lowering passes. Pattern rewriting in both xDSL and MLIR is a pointer-chasing, unstructured workload, which makes it hard to optimise ahead-of-time. This diminishes the traditional performance advantage of ahead-of-time compiled languages such as C++ over dynamic languages such as Python -- making it an interesting benchmark. More information about the design and impact of this benchmark can be found in the Master's thesis ``Performance and Dynamism in User-extensible Compiler Infrastructures'', which is `available on GitHub `_. """ import random import pyperf from xdsl.context import Context from xdsl.dialects.arith import AddiOp, Arith, ConstantOp from xdsl.dialects.builtin import ( Builtin, IntegerAttr, ModuleOp, i32, ) from xdsl.dialects.test import TestOp from xdsl.ir import Operation from xdsl.transforms.test_constant_folding import TestConstantFoldingPass RANDOM_SEED = 0 def get_constant_folding_module(size: int = 100) -> ModuleOp: """Generate an integer addition constant folding workload of a given size. The output of running the command `print(WorkloadBuilder().constant_folding_module(size=5))` is shown below: ```mlir "builtin.module"() ({ %0 = "arith.constant"() {"value" = 865 : i32} : () -> i32 %1 = "arith.constant"() {"value" = 395 : i32} : () -> i32 %2 = "arith.addi"(%1, %0) : (i32, i32) -> i32 %3 = "arith.constant"() {"value" = 777 : i32} : () -> i32 %4 = "arith.addi"(%3, %2) : (i32, i32) -> i32 %5 = "arith.constant"() {"value" = 912 : i32} : () -> i32 "test.op"(%4) : (i32) -> () }) : () -> () ``` """ assert size >= 0 random.seed(RANDOM_SEED) ops: list[Operation] = [] ops.append(ConstantOp(IntegerAttr(random.randint(1, 1000), i32))) for i in range(1, size + 1): if i % 2 == 0: ops.append(AddiOp(ops[i - 1], ops[i - 2])) else: ops.append(ConstantOp(IntegerAttr(random.randint(1, 1000), i32))) ops.append(TestOp([ops[(size // 2) * 2]])) return ModuleOp(ops) def bench_xdsl_constant_folding(loops: int, size: int) -> float: """Benchmark constant folding integer additions with xDSL.""" ctx = Context(allow_unregistered=True) ctx.load_dialect(Arith) ctx.load_dialect(Builtin) constant_folding_pass = TestConstantFoldingPass() constant_folding_workload = get_constant_folding_module(size) range_it = range(loops) t0 = pyperf.perf_counter() for _ in range_it: constant_folding_workload_mutable = constant_folding_workload.clone() constant_folding_pass.apply(ctx, constant_folding_workload_mutable) return pyperf.perf_counter() - t0 def add_cmdline_args(cmd, args): """Add command line arguments to a pyperf runner""" cmd.extend(("--size", str(args.size))) if __name__ == "__main__": runner = pyperf.Runner(add_cmdline_args=add_cmdline_args) runner.metadata["description"] = "Benchmark xDSL constant folding integer addition" runner.argparser.add_argument( "--size", type=int, default=1000, help="Number of integer additions (default: 1000)", ) args = runner.parse_args() runner.bench_time_func("xdsl_constant_fold", bench_xdsl_constant_folding, args.size) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_xml_etree/000077500000000000000000000000001514162565100261175ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_xml_etree/pyproject.toml000066400000000000000000000003641514162565100310360ustar00rootroot00000000000000[project] name = "pyperformance_bm_xml_etree" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "xml_etree" tags = "serialize" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_xml_etree/run_benchmark.py000066400000000000000000000224521514162565100313140ustar00rootroot00000000000000 """Benchmark script for testing the performance of ElementTree. This is intended to support Unladen Swallow's pyperf.py. This will have ElementTree, cElementTree and lxml (if available) parse a generated XML file, search it, create new XML trees from it and serialise the result. """ import io import os import sys import tempfile from collections import defaultdict import pyperf __author__ = "stefan_ml@behnel.de (Stefan Behnel)" FALLBACK_ETMODULE = 'xml.etree.ElementTree' def build_xml_tree(etree): SubElement = etree.SubElement root = etree.Element('root') # create a couple of repetitive broad subtrees for c in range(50): child = SubElement(root, 'child-%d' % c, tag_type="child") for i in range(100): SubElement(child, 'subchild').text = 'LEAF-%d-%d' % (c, i) # create a deep subtree deep = SubElement(root, 'deepchildren', tag_type="deepchild") for i in range(50): deep = SubElement(deep, 'deepchild') SubElement(deep, 'deepleaf', tag_type="leaf").text = "LEAF" # store the number of elements for later nb_elems = sum(1 for elem in root.iter()) root.set('nb-elems', str(nb_elems)) return root def process(etree, xml_root=None): SubElement = etree.SubElement if xml_root is not None: root = xml_root else: root = build_xml_tree(etree) # find*() found = sum(child.find('.//deepleaf') is not None for child in root) if found != 1: raise RuntimeError("find() failed") text = 'LEAF-5-99' found = any(1 for child in root for el in child.iterfind('.//subchild') if el.text == text) if not found: raise RuntimeError("iterfind() failed") found = sum(el.text == 'LEAF' for el in root.findall('.//deepchild/deepleaf')) if found != 1: raise RuntimeError("findall() failed") # tree creation based on original tree dest = etree.Element('root2') target = SubElement(dest, 'result-1') for child in root: SubElement(target, child.tag).text = str(len(child)) if len(target) != len(root): raise RuntimeError("transform #1 failed") target = SubElement(dest, 'result-2') for child in root.iterfind('.//subchild'): SubElement(target, child.tag, attr=child.text).text = "found" if (len(target) < len(root) or not all(el.text == 'found' for el in target.iterfind('subchild'))): raise RuntimeError("transform #2 failed") # moving subtrees around orig_len = len(root[0]) new_root = root.makeelement('parent', {}) new_root[:] = root[0] el = root[0] del el[:] for child in new_root: if child is not None: el.append(child) if len(el) != orig_len: raise RuntimeError("child moving failed") # check iteration tree consistency d = defaultdict(list) for child in root: tags = d[child.get('tag_type')] for sub in child.iter(): tags.append(sub) check_dict = dict((n, iter(ch)) for n, ch in d.items()) target = SubElement(dest, 'transform-2') for child in root: tags = check_dict[child.get('tag_type')] for sub in child.iter(): # note: explicit object identity check to make sure # users can properly keep state in the tree if sub is not next(tags): raise RuntimeError("tree iteration consistency check failed") SubElement(target, sub.tag).text = 'worked' # final probability check for serialisation (we added enough content # to make the result tree larger than the original) orig = etree.tostring(root, encoding='utf8') result = etree.tostring(dest, encoding='utf8') if (len(result) < len(orig) or b'worked' not in result or b'>LEAF<' not in orig): raise RuntimeError("serialisation probability check failed") return result def bench_iterparse(etree, xml_file, xml_data, xml_root): for _ in range(10): it = etree.iterparse(xml_file, ('start', 'end')) events1 = [(event, elem.tag) for event, elem in it] it = etree.iterparse(io.BytesIO(xml_data), ('start', 'end')) events2 = [(event, elem.tag) for event, elem in it] nb_elems = int(xml_root.get('nb-elems')) if len(events1) != 2 * nb_elems or events1 != events2: raise RuntimeError("parsing check failed:\n%r\n%r\n" % (len(events1), events2[:10])) def bench_parse(etree, xml_file, xml_data, xml_root): for _ in range(30): root1 = etree.parse(xml_file).getroot() root2 = etree.fromstring(xml_data) result1 = etree.tostring(root1) result2 = etree.tostring(root2) if result1 != result2: raise RuntimeError("serialisation check failed") def bench_process(etree, xml_file, xml_data, xml_root): result1 = process(etree, xml_root=xml_root) result2 = process(etree, xml_root=xml_root) if result1 != result2 or b'>found<' not in result2: raise RuntimeError("serialisation check failed") def bench_generate(etree, xml_file, xml_data, xml_root): output = [] for _ in range(10): root = build_xml_tree(etree) output.append(etree.tostring(root)) length = None for xml in output: if length is None: length = len(xml) elif length != len(xml): raise RuntimeError("inconsistent output detected") if b'>LEAF<' not in xml: raise RuntimeError("unexpected output detected") def bench_etree(iterations, etree, bench_func): xml_root = build_xml_tree(etree) xml_data = etree.tostring(xml_root) # not using NamedTemporaryFile() here as re-opening it is not portable tf, file_path = tempfile.mkstemp() try: etree.ElementTree(xml_root).write(file_path) t0 = pyperf.perf_counter() for _ in range(iterations): bench_func(etree, file_path, xml_data, xml_root) dt = pyperf.perf_counter() - t0 finally: try: os.close(tf) except EnvironmentError: pass try: os.unlink(file_path) except EnvironmentError: pass return dt BENCHMARKS = 'parse iterparse generate process'.split() def add_cmdline_args(cmd, args): cmd.extend(("--etree-module", args.etree_module)) if args.no_accelerator: cmd.append("--no-accelerator") if args.benchmark: cmd.append(args.benchmark) if __name__ == "__main__": # On Python 3, xml.etree.cElementTree is a deprecated alias # to xml.etree.ElementTree default_etmodule = "xml.etree.ElementTree" runner = pyperf.Runner(add_cmdline_args=add_cmdline_args) runner.metadata['description'] = ("Test the performance of " "ElementTree XML processing.") parser = runner.argparser parser.add_argument("--etree-module", default=None, metavar="FQMN", help="Select an ElementTree module to use " "(fully qualified module name). " "Default is '%s'" % default_etmodule) parser.add_argument("--no-accelerator", action="store_true", default=False, help="Disable the '_elementree' accelerator module " "for ElementTree.") parser.add_argument("benchmark", nargs='?', choices=BENCHMARKS) options = runner.parse_args() if not options.etree_module: if options.no_accelerator: options.etree_module = FALLBACK_ETMODULE else: options.etree_module = default_etmodule if options.no_accelerator: # prevent C accelerator from being used in 3.3 sys.modules['_elementtree'] = None import xml.etree.ElementTree as et if et.SubElement.__module__ != 'xml.etree.ElementTree': raise RuntimeError("Unexpected C accelerator for ElementTree") try: from importlib import import_module except ImportError: def import_module(module_name): __import__(module_name) return sys.modules[module_name] try: etree_module = import_module(options.etree_module) except ImportError: if options.etree_module != default_etmodule: raise etree_module = import_module(FALLBACK_ETMODULE) # Fill elementtree_module metadata: check if the accelerator is used module = etree_module.__name__ # xml.etree.ElementTree._Element_Py was added to Python 3.4 if hasattr(etree_module, '_Element_Py'): accelerator = (etree_module.Element is not etree_module._Element_Py) else: if options.no_accelerator: accelerator = False else: accelerator = True if accelerator: module += ' (with C accelerator)' else: module += ' (pure Python)' runner.metadata['elementtree_module'] = module if options.benchmark: benchmarks = (options.benchmark,) else: benchmarks = BENCHMARKS # Run the benchmark for bench in benchmarks: if accelerator: name = 'xml_etree_%s' % bench else: name = 'xml_etree_pure_python_%s' % bench bench_func = globals()['bench_%s' % bench] runner.bench_time_func(name, bench_etree, etree_module, bench_func) pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_yaml/000077500000000000000000000000001514162565100250755ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_yaml/pyproject.toml000066400000000000000000000003521514162565100300110ustar00rootroot00000000000000[project] name = "pyperformance_bm_yaml" requires-python = ">=3.8" dependencies = ["pyperf"] urls = {repository = "https://github.com/python/pyperformance"} dynamic = ["version"] [tool.pyperformance] name = "yaml" tags = "serialize" pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_yaml/requirements.txt000066400000000000000000000000161514162565100303560ustar00rootroot00000000000000pyyaml==6.0.1 pyperformance-1.14.0/pyperformance/data-files/benchmarks/bm_yaml/run_benchmark.py000066400000000000000000000046011514162565100302660ustar00rootroot00000000000000""" Script for testing the performance of YAML parsing, using yaml. This will dump/load several real world-representative objects a few thousand times. The methodology below was chosen to be similar to real-world scenarios which operate on single objects at a time. This explicitly tests the pure Python implementation in pyyaml, not its C extension. The object structure is copied from the `json_load` benchmark. """ import random import sys import pyperf import yaml DICT = { 'ads_flags': 0, 'age': 18, 'bulletin_count': 0, 'comment_count': 0, 'country': 'BR', 'encrypted_id': 'G9urXXAJwjE', 'favorite_count': 9, 'first_name': '', 'flags': 412317970704, 'friend_count': 0, 'gender': 'm', 'gender_for_display': 'Male', 'id': 302935349, 'is_custom_profile_icon': 0, 'last_name': '', 'locale_preference': 'pt_BR', 'member': 0, 'tags': ['a', 'b', 'c', 'd', 'e', 'f', 'g'], 'profile_foo_id': 827119638, 'secure_encrypted_id': 'Z_xxx2dYx3t4YAdnmfgyKw', 'session_number': 2, 'signup_id': '201-19225-223', 'status': 'A', 'theme': 1, 'time_created': 1225237014, 'time_updated': 1233134493, 'unread_message_count': 0, 'user_group': '0', 'username': 'collinwinter', 'play_count': 9, 'view_count': 7, 'zip': ''} TUPLE = ( [265867233, 265868503, 265252341, 265243910, 265879514, 266219766, 266021701, 265843726, 265592821, 265246784, 265853180, 45526486, 265463699, 265848143, 265863062, 265392591, 265877490, 265823665, 265828884, 265753032], 60) def mutate_dict(orig_dict, random_source): new_dict = dict(orig_dict) for key, value in new_dict.items(): rand_val = random_source.random() * sys.maxsize if isinstance(key, (int, bytes, str)): new_dict[key] = type(key)(rand_val) return new_dict random_source = random.Random(5) # Fixed seed. DICT_GROUP = [mutate_dict(DICT, random_source) for _ in range(3)] def bench_yaml(objs): for obj in objs: yaml.load(obj, Loader=yaml.Loader) if __name__ == "__main__": runner = pyperf.Runner() runner.metadata['description'] = "Benchmark yaml.load()" yaml_dict = yaml.dump(DICT) yaml_tuple = yaml.dump(TUPLE) yaml_dict_group = yaml.dump(DICT_GROUP) objs = (yaml_dict, yaml_tuple, yaml_dict_group) runner.bench_func('yaml', bench_yaml, objs, inner_loops=20) pyperformance-1.14.0/pyperformance/requirements/000077500000000000000000000000001514162565100220525ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/requirements/requirements.txt000066400000000000000000000005251514162565100253400ustar00rootroot00000000000000# # This file is autogenerated by pip-compile with Python 3.11 # by the following command: # # pip-compile --output-file=pyperformance/requirements/requirements.txt requirements.in # packaging>=24.1 # via -r requirements.in psutil==7.0.0 # via # -r requirements.in # pyperf pyperf==2.10.0 # via -r requirements.in pyperformance-1.14.0/pyperformance/run.py000066400000000000000000000164141514162565100205130ustar00rootroot00000000000000import hashlib import json import os import sys import time import traceback from collections import namedtuple import pyperformance from . import _python, _pythoninfo, _utils, _venv from .venv import REQUIREMENTS_FILE, VenvForBenchmarks class BenchmarkException(Exception): pass class RunID(namedtuple("RunID", "python compat bench timestamp")): def __new__(cls, python, compat, bench, timestamp): self = super().__new__( cls, python, compat, bench or None, int(timestamp) if timestamp else None, ) return self def __str__(self): if not self.timestamp: return self.name return f"{self.name}-{self.timestamp}" @property def name(self): try: return self._name except AttributeError: name = f"{self.python}-compat-{self.compat}" if self.bench: name = f"{name}-bm-{self.bench.name}" self._name = name return self._name def get_run_id(python, bench=None): py_id = _python.get_id(python, prefix=True) compat_id = get_compatibility_id(bench) ts = time.time() return RunID(py_id, compat_id, bench, ts) def get_loops_from_file(filename): with open(filename) as fd: data = json.load(fd) loops = {} for benchmark in data["benchmarks"]: metadata = benchmark.get("metadata", data["metadata"]) name = metadata["name"] if name.endswith("_none"): name = name[: -len("_none")] if "loops" in metadata: loops[name] = metadata["loops"] return loops def run_benchmarks(should_run, python, options): if options.same_loops is not None: loops = get_loops_from_file(options.same_loops) else: loops = {} to_run = sorted(should_run) info = _pythoninfo.get_info(python) runid = get_run_id(info) unique = getattr(options, "unique_venvs", False) if not unique: common = VenvForBenchmarks.ensure( _venv.get_venv_root(runid.name, python=info), info, upgrade="oncreate", inherit_environ=options.inherit_environ, ) benchmarks = {} venvs = set() for i, bench in enumerate(to_run): bench_runid = runid._replace(bench=bench) assert bench_runid.name, (bench, bench_runid) name = bench_runid.name venv_root = _venv.get_venv_root(name, python=info) print() print("=" * 50) print(f"({i + 1:>2}/{len(to_run)}) creating venv for benchmark ({bench.name})") print() if not unique: print("(trying common venv first)") # Try the common venv first. try: common.ensure_reqs(bench) except _venv.RequirementsInstallationFailedError: print("(falling back to unique venv)") else: benchmarks[bench] = (common, bench_runid) continue try: venv = VenvForBenchmarks.ensure( venv_root, info, upgrade="oncreate", inherit_environ=options.inherit_environ, ) # XXX Do not override when there is a requirements collision. venv.ensure_reqs(bench) except _venv.RequirementsInstallationFailedError: print("(benchmark will be skipped)") print() venv = None venvs.add(venv_root) benchmarks[bench] = (venv, bench_runid) print() suite = None run_count = str(len(to_run)) errors = [] base_pyperf_opts = get_pyperf_opts(options) import pyperf for index, bench in enumerate(to_run): name = bench.name print("[%s/%s] %s..." % (str(index + 1).rjust(len(run_count)), run_count, name)) sys.stdout.flush() def add_bench(dest_suite, obj): if isinstance(obj, pyperf.BenchmarkSuite): results = obj else: results = (obj,) version = pyperformance.__version__ for res in results: res.update_metadata( {"performance_version": version, "tags": bench.tags} ) if dest_suite is not None: dest_suite.add_benchmark(res) else: dest_suite = pyperf.BenchmarkSuite([res]) return dest_suite if name in loops: pyperf_opts = [*base_pyperf_opts, f"--loops={loops[name]}"] else: pyperf_opts = base_pyperf_opts bench_venv, bench_runid = benchmarks.get(bench) if bench_venv is None: print("ERROR: Benchmark %s failed: could not install requirements" % name) errors.append((name, "Install requirements error")) continue try: result = bench.run( bench_venv.python, bench_runid, pyperf_opts, venv=bench_venv, verbose=options.verbose, ) except TimeoutError as exc: print("ERROR: Benchmark %s timed out" % name) errors.append((name, exc)) except RuntimeError as exc: print("ERROR: Benchmark %s failed: %s" % (name, exc)) traceback.print_exc() errors.append((name, exc)) except Exception as exc: print("ERROR: Benchmark %s failed: %s" % (name, exc)) traceback.print_exc() errors.append((name, exc)) else: suite = add_bench(suite, result) print() return (suite, errors) # Utility functions def get_compatibility_id(bench=None): # XXX Do not include the pyperformance reqs if a benchmark was provided? reqs = sorted(_utils.iter_clean_lines(REQUIREMENTS_FILE)) if bench: lockfile = bench.requirements_lockfile if lockfile and os.path.exists(lockfile): reqs += sorted(_utils.iter_clean_lines(lockfile)) data = [ # XXX Favor pyperf.__version__ instead? pyperformance.__version__, "\n".join(reqs), ] h = hashlib.sha256() for value in data: h.update(value.encode("utf-8")) compat_id = h.hexdigest() # XXX Return the whole string? compat_id = compat_id[:12] return compat_id def get_pyperf_opts(options): opts = [] if options.debug_single_value: opts.append("--debug-single-value") elif options.rigorous: opts.append("--rigorous") elif options.fast: opts.append("--fast") if options.verbose: opts.append("--verbose") if options.affinity: opts.append("--affinity=%s" % options.affinity) if options.track_memory: opts.append("--track-memory") if options.inherit_environ: opts.append("--inherit-environ=%s" % ",".join(options.inherit_environ)) if options.min_time: opts.append("--min-time=%s" % options.min_time) if options.timeout: opts.append("--timeout=%s" % options.timeout) if options.hook: for hook in options.hook: opts.append("--hook=%s" % hook) # --warmups=0 is a valid option, so check for `not None` here if options.warmups is not None: opts.append("--warmups=%s" % options.warmups) return opts pyperformance-1.14.0/pyperformance/tests/000077500000000000000000000000001514162565100204715ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/tests/__init__.py000066400000000000000000000167731514162565100226200ustar00rootroot00000000000000import errno import importlib.util import os import os.path import shlex import shutil import subprocess import sys import tempfile import unittest TESTS_ROOT = os.path.realpath(os.path.dirname(__file__)) DATA_DIR = os.path.join(TESTS_ROOT, "data") REPO_ROOT = os.path.dirname(os.path.dirname(TESTS_ROOT)) DEV_SCRIPT = os.path.join(REPO_ROOT, "dev.py") def run_cmd(cmd, *args, capture=None, onfail="exit", verbose=True): # XXX Optionally write the output to a file. argv = (cmd,) + args if not all(a and isinstance(a, str) for a in argv): raise TypeError(f"all args must be non-empty strings, got {argv}") argv_str = " ".join(shlex.quote(a) for a in argv) kwargs = dict( cwd=REPO_ROOT, ) if capture is True: capture = "both" if capture in ("both", "combined", "stdout"): kwargs["stdout"] = subprocess.PIPE if capture in ("both", "stderr"): kwargs["stderr"] = subprocess.PIPE elif capture == "combined": kwargs["stderr"] = subprocess.STDOUT if capture: kwargs["encoding"] = "utf-8" if verbose: print(f"(tests) Execute: {argv_str}", flush=True) proc = subprocess.run(argv, **kwargs) exitcode = proc.returncode if exitcode: if onfail == "exit": sys.exit(exitcode) elif onfail == "raise": raise Exception(f'"{argv_str}" failed (exitcode {exitcode})') elif onfail is not None: raise NotImplementedError(repr(onfail)) if "stdout" not in kwargs or "stderr" not in kwargs: print("", flush=True) return exitcode, proc.stdout, proc.stderr def _resolve_venv_python(venv): if os.name == "nt": basename = os.path.basename(sys.executable) venv_python = os.path.join(venv, "Scripts", basename) else: venv_python = os.path.join(venv, "bin", "python3") return venv_python def create_venv(root=None, python=sys.executable, *, verbose=False): if not root: tmpdir = tempfile.mkdtemp() root = os.path.join(tmpdir, "venv") def cleanup(): return shutil.rmtree(tmpdir) else: def cleanup(): return None run_cmd( python or sys.executable, "-m", "venv", root, capture=not verbose, onfail="raise", verbose=verbose, ) return root, _resolve_venv_python(root), cleanup class CleanupFile: def __init__(self, filename): self.filename = filename def __repr__(self): return f"{type(self).__name__}({self.filename!r})" def __str__(self): return self.filename def __enter__(self): return self.filename def __exit__(self, *args): self.cleanup() def cleanup(self): try: os.unlink(self.filename) except OSError as exc: if exc.errno != errno.ENOENT: raise ############################# # testing fixtures, mixins, and helpers def apply_to_test_methods(cls, decorator): for name, func in vars(cls).items(): if not name.startswith("test_"): continue func = decorator(func) setattr(cls, name, func) def mark(label, func=None): """Mark the function/class with the given label. This may be used as a decorator. """ if func is None: def decorator(func): return mark(label, func) return decorator if isinstance(func, type): cls = func apply_to_test_methods(cls, mark(label)) return cls try: func._pyperformance_test_labels.append(label) except AttributeError: func._pyperformance_test_labels = [label] return func ############################# # functional tests CPYTHON_ONLY = unittest.skipIf( sys.implementation.name != "cpython", "CPython-only", ) NON_WINDOWS_ONLY = unittest.skipIf(os.name == "nt", "skipping Windows") # XXX Provide a way to run slow tests. def SLOW(f): return unittest.skip("way too slow")(mark("slow", f)) class Functional: """A mixin for functional tests. In this context, "functional" means the test touches the filesystem, uses the network, creates subprocesses, etc. This contrasts with true "unit" tests, which are constrained strictly to code execution. """ @classmethod def resolve_tmp(cls, *relpath, unique=False): try: tmpdir = cls._tmpdir except AttributeError: tmpdir = cls._tmpdir = tempfile.mkdtemp() cls.addClassCleanup(lambda: shutil.rmtree(tmpdir)) if unique: tmpdir = tempfile.mkdtemp(dir=tmpdir) return os.path.join(tmpdir, *relpath) @classmethod def run_python(cls, *args, require_venv=True, **kwargs): python = getattr(cls, "_venv_python", None) if not python: if require_venv: raise Exception("cls.ensure_venv() must be called first") python = sys.executable # We always use unbuffered stdout/stderr to simplify capture. return run_cmd(python, "-u", *args, **kwargs) @classmethod def run_module(cls, module, *args, **kwargs): return cls.run_python("-m", module, *args, **kwargs) @classmethod def run_pip(cls, *args, **kwargs): return cls.run_module("pip", *args, **kwargs) @classmethod def ensure_venv(cls): if getattr(cls, "_tests_venv", None): # ensure_venv() already ran. return if sys.prefix != sys.exec_prefix: # We are already running in a venv and assume it is ready. cls._tests_venv = sys.prefix cls._venv_python = sys.executable return cls._tests_venv = cls._resolve_tests_venv() venv_python = _resolve_venv_python(cls._tests_venv) if os.path.exists(venv_python): cls._venv_python = venv_python return print("#" * 40) print("# creating a venv") print("#" * 40) print() # Create the venv and update it. # XXX Ignore the output (and optionally log it). create_venv(cls._tests_venv, verbose=True) cls._venv_python = venv_python cls.run_pip("install", "--upgrade", "pip") cls.run_pip("install", "--upgrade", "setuptools", "wheel") print("#" * 40) print("# DONE: creating a venv") print("#" * 40) print() @classmethod def _resolve_tests_venv(cls): root = os.environ.get("PYPERFORMANCE_TESTS_VENV") if not root: root = "" elif not root.startswith("<") and not root.endswith(">"): # The user provided an actual root dir. return root if root == "": # The user is forcing a temporary venv. return cls.resolve_tmp("venv") elif root == "": # The user is forcing a fresh venv. fresh = True elif root == "": # This is the default. fresh = False else: raise NotImplementedError(repr(root)) # Resolve the venv root to re-use. spec = importlib.util.spec_from_file_location("dev", DEV_SCRIPT) dev = importlib.util.module_from_spec(spec) spec.loader.exec_module(dev) root = dev.resolve_venv_root("tests") if fresh: if os.path.exists(root): print("(refreshing existing venv)") print() try: shutil.rmtree(root) except FileNotFoundError: pass return root pyperformance-1.14.0/pyperformance/tests/__main__.py000066400000000000000000000005531514162565100225660ustar00rootroot00000000000000import unittest from pyperformance import tests def load_tests(loader, standard_tests, pattern): pkgtests = loader.discover( start_dir=tests.TESTS_ROOT, top_level_dir=tests.TESTS_ROOT, pattern=pattern or "test*", ) standard_tests.addTests(pkgtests) return standard_tests if __name__ == "__main__": unittest.main() pyperformance-1.14.0/pyperformance/tests/data/000077500000000000000000000000001514162565100214025ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/tests/data/MANIFEST000066400000000000000000000000601514162565100225270ustar00rootroot00000000000000[benchmarks] name metafile local_wheel pyperformance-1.14.0/pyperformance/tests/data/bm_local_wheel/000077500000000000000000000000001514162565100243365ustar00rootroot00000000000000pyperformance-1.14.0/pyperformance/tests/data/bm_local_wheel/pyproject.toml000066400000000000000000000011301514162565100272450ustar00rootroot00000000000000[project] name = "pyperformance-bm-local-wheel" version = "1.0" requires-python = ">=3.7" classifiers = [ "Programming Language :: Python :: 3 :: Only", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", ] dependencies = [ "pyperf" ] urls = { repository = "https://github.com/python/pyperformance" } [tool.pyperformance] name = "local_wheel" pyperformance-1.14.0/pyperformance/tests/data/bm_local_wheel/requirements.txt000066400000000000000000000000571514162565100276240ustar00rootroot00000000000000this_is-1.0.2-py2.py3-none-any.whl#egg=this_is pyperformance-1.14.0/pyperformance/tests/data/bm_local_wheel/run_benchmark.py000066400000000000000000000005201514162565100275230ustar00rootroot00000000000000""" A dummy benchmark that uses a local wheel """ import pyperf def bench(): return 1.0 if __name__ == "__main__": runner = pyperf.Runner() runner.metadata["description"] = ( "A dummy benchmark that has a local wheel dependency" ) args = runner.parse_args() runner.bench_func("local_wheel", bench) 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pyperformance-1.14.0/pyperformance/tests/data/find-pyperformance.py000066400000000000000000000014461514162565100255510ustar00rootroot00000000000000import sys try: import pyperformance except ModuleNotFoundError: sys.exit(0) else: print(pyperformance.PKG_ROOT) # Make sure pyperformance.PKG_ROOT matches expectations. import os.path datadir = os.path.dirname(os.path.abspath(__file__)) testsroot = os.path.dirname(datadir) pkgroot = os.path.dirname(testsroot) reporoot = os.path.realpath(os.path.dirname(pkgroot)) marker = os.path.join(reporoot, "pyproject.toml") if not os.path.exists(marker): sys.exit(f"ERROR: pyperformance is not an editable install ({reporoot})") actual = os.path.realpath(os.path.abspath(pyperformance.PKG_ROOT)) if actual != os.path.join(reporoot, "pyperformance"): print("ERROR: mismatch on pyperformance repo root:") print(f" actual: {actual}") print(f" expected: {reporoot}") sys.exit(1) pyperformance-1.14.0/pyperformance/tests/data/mem1.json000066400000000000000000000002171514162565100231340ustar00rootroot00000000000000{"benchmarks":[{"runs":[{"values":[8085504.0]}]}],"metadata":{"name":"call_simple","performance_version":"0.2","unit":"byte"},"version":"1.0"} pyperformance-1.14.0/pyperformance/tests/data/mem2.json000066400000000000000000000002171514162565100231350ustar00rootroot00000000000000{"benchmarks":[{"runs":[{"values":[8089600.0]}]}],"metadata":{"name":"call_simple","performance_version":"0.2","unit":"byte"},"version":"1.0"} pyperformance-1.14.0/pyperformance/tests/data/py36.json000066400000000000000000000276421514162565100231110ustar00rootroot00000000000000{"benchmarks":[{"runs":[{"metadata":{"calibrate_loops":16,"cpu_freq":"0=3267 MHz; 1=3309 MHz; 2=3223 MHz; 3=3238 MHz; 4=3258 MHz; 5=3312 MHz; 6=3343 MHz; 7=3379 MHz","cpu_temp":"coretemp:Package id 0=55 C, coretemp:Core 0=55 C, coretemp:Core 1=47 C, coretemp:Core 2=49 C, coretemp:Core 3=48 C","date":"2020-03-26 15:50:39.816020","duration":0.8565574469976127,"load_avg_1min":0.71,"mem_max_rss":14721024,"runnable_threads":1,"uptime":187814.8196876049},"warmups":[[1,0.010896366002270952],[2,0.010168193504796363],[4,0.010135258999071084],[8,0.010000181624491233],[16,0.010748153249551251],[16,0.010359775812503358],[16,0.010726053562393645],[16,0.010579258500001743]]},{"metadata":{"cpu_freq":"0=3464 MHz; 1=3366 MHz; 2=3318 MHz; 3=3326 MHz; 4=3332 MHz; 5=3328 MHz; 6=3337 MHz; 7=3250 MHz","cpu_temp":"coretemp:Package id 0=55 C, coretemp:Core 0=55 C, coretemp:Core 1=47 C, coretemp:Core 2=49 C, coretemp:Core 3=48 C","date":"2020-03-26 15:50:40.575860","duration":0.6701465579972137,"load_avg_1min":0.71,"mem_max_rss":14716928,"runnable_threads":1,"uptime":187815.57956838608},"values":[0.010090708562529471,0.010137677624697972,0.010281271500389266],"warmups":[[16,0.010560733125203114]]},{"metadata":{"cpu_freq":"0=3456 MHz; 1=3352 MHz; 2=3316 MHz; 3=3370 MHz; 4=3306 MHz; 5=3346 MHz; 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(64-bit)","timer":"clock_gettime(CLOCK_MONOTONIC), resolution: 1.00 ns","unit":"second"},"version":"1.0"} pyperformance-1.14.0/pyperformance/tests/data/py3_performance03.json000066400000000000000000000007311514162565100255350ustar00rootroot00000000000000{"benchmarks":[{"runs":[{"values":[0.013479645,0.013512941]},{"values":[0.013684981,0.016157783]},{"values":[0.01363128,0.01363188]},{"values":[0.013653313,0.013630584]},{"values":[0.013273289,0.013267363]},{"values":[0.013293472,0.013285883]},{"values":[0.018995846,0.013574852]},{"values":[0.013909884,0.013909393]},{"values":[0.013637751,0.013639002]},{"values":[0.014413738,0.01436785]}]}],"metadata":{"name":"call_simple","performance_version":"0.3"},"version":"1.0"} pyperformance-1.14.0/pyperformance/tests/test_commands.py000066400000000000000000000357141514162565100237150ustar00rootroot00000000000000import os import os.path import shutil import textwrap import unittest import pyperformance from pyperformance import tests class FullStackTests(tests.Functional, unittest.TestCase): maxDiff = 80 * 100 @classmethod def setUpClass(cls): # pyperformance must be installed in order to run, # so we make sure it is. cls.ensure_venv() cls.ensure_pyperformance() super().setUpClass() @classmethod def ensure_pyperformance(cls): ec, stdout, _ = cls.run_python( os.path.join(tests.DATA_DIR, "find-pyperformance.py"), capture="stdout", onfail="raise", verbose=False, ) assert ec == 0, ec stdout = stdout.strip() if stdout.strip(): # It is already installed. return print("#" * 40) print("# installing pyperformance into the venv") print("#" * 40) print() # Install it. reporoot = os.path.dirname(pyperformance.PKG_ROOT) # XXX Ignore the output (and optionally log it). ec, _, _ = cls.run_pip("install", "--editable", reporoot) assert ec == 0, ec # Clean up extraneous files. egg_info = "pyperformance.egg-info" print(f"(tests) Remove directory {egg_info}", flush=True) try: shutil.rmtree(egg_info) except FileNotFoundError: pass print() print("#" * 40) print("# DONE: installing pyperformance into the venv") print("#" * 40) print() def run_pyperformance( self, cmd, *args, exitcode=0, capture="both", verbose=True, ): ec, stdout, stderr = self.run_module( "pyperformance", cmd, *args, capture=capture, onfail=None, verbose=verbose, ) if exitcode is True: self.assertGreater(ec, 0, repr(stdout)) else: self.assertEqual(ec, exitcode, repr(stdout)) if stdout: stdout = stdout.rstrip() return stdout ################################### # info def test_list(self): # XXX Capture and check the output. self.run_pyperformance("list", capture=None) def test_list_groups(self): # XXX Capture and check the output. self.run_pyperformance("list_groups", capture=None) ################################### # venv def test_venv(self): # XXX Capture and check the output. root = self.resolve_tmp("venv", unique=True) def div(): print() print("---") print() def expect_success(*args): self.run_pyperformance( *args, capture=None, ) def expect_failure(*args): self.run_pyperformance( *args, capture=None, exitcode=1, ) # It doesn't exist yet. expect_success("venv", "show", "--venv", root) div() # It gets created. expect_success("venv", "create", "--venv", root) div() expect_success("venv", "show", "--venv", root) div() # It alraedy exists. expect_failure("venv", "create", "--venv", root) div() expect_success("venv", "show", "--venv", root) div() # It gets re-created. expect_success("venv", "recreate", "--venv", root) div() expect_success("venv", "show", "--venv", root) div() # It get deleted. expect_success("venv", "remove", "--venv", root) div() expect_success("venv", "show", "--venv", root) ################################### # run def test_run_and_show(self): filename = self.resolve_tmp("bench.json") # -b all: check that *all* benchmark work # # --debug-single-value: benchmark results don't matter, we only # check that running benchmarks don't fail. # XXX Capture and check the output. self.run_pyperformance( "run", "-b", "all", "--debug-single-value", "-o", filename, capture=None, ) # Display slowest benchmarks # XXX Capture and check the output. self.run_module("pyperf", "slowest", filename) def test_run_test_benchmarks(self): # Run the benchmarks that exist only for testing # in pyperformance/tests/data filename = self.resolve_tmp("bench-test.json") self.run_pyperformance( "run", "--manifest", os.path.join(tests.DATA_DIR, "MANIFEST"), "-b", "all", "-o", filename, capture=None, ) def test_run_with_hook(self): # We expect this to fail, since pystats requires a special build of Python filename = self.resolve_tmp("bench-test-hook.json") stdout = self.run_pyperformance( "run", "--manifest", os.path.join(tests.DATA_DIR, "MANIFEST"), "-b", "all", "-o", filename, "--hook", "pystats", exitcode=1, capture="combined", ) self.assertIn( "Can not collect pystats because python was not built with --enable-pystats", stdout, ) ################################### # compile def ensure_cpython_repo(self, reporoot=None): if not reporoot: reporoot = os.environ.get("PYPERFORMANCE_TESTS_CPYTHON") if not reporoot: reporoot = os.path.join(tests.DATA_DIR, "cpython") for markerfile in [ os.path.join(reporoot, ".git"), os.path.join(reporoot, "Python/ceval.c"), ]: if not os.path.exists(markerfile): break else: return reporoot # Clone the repo. print("#" * 40) print("# cloning the cpython repo") print("#" * 40) print() tests.run_cmd( shutil.which("git"), "clone", "https://github.com/python/cpython", reporoot, ) print("#" * 40) print("# DONE: cloning the cpython repo") print("#" * 40) print() return reporoot def create_compile_config( self, *revisions, outdir=None, fast=True, upload=None, ): if not outdir: outdir = self.resolve_tmp("compile-cmd-outdir", unique=True) cpython = self.ensure_cpython_repo() text = textwrap.dedent(f""" [config] json_dir = {outdir} debug = {fast} [scm] repo_dir = {cpython} update = False git_remote = remotes/origin [compile] bench_dir = {outdir} lto = {not fast} pgo = {not fast} jit = no install = True [run_benchmark] system_tune = False upload = False [upload] url = {upload} """) if revisions: text += "".join( line + os.linesep for line in [ "", "[compile_all_revisions]", *(f"{r} =" for r in revisions), ] ) cfgfile = os.path.join(outdir, "compile.ini") print(f"(writing config file to {cfgfile})") os.makedirs(outdir, exist_ok=True) with open(cfgfile, "w", encoding="utf-8") as outfile: outfile.write(text) return cfgfile @tests.CPYTHON_ONLY @tests.NON_WINDOWS_ONLY @tests.SLOW def test_compile(self): cfgfile = self.create_compile_config() revision = "a58ebcc701dd" # tag: v3.10.2 # XXX Capture and check the output. self.run_pyperformance( "compile", cfgfile, revision, capture=None, ) @tests.CPYTHON_ONLY @tests.NON_WINDOWS_ONLY @tests.SLOW def test_compile_all(self): rev1 = "2cd268a3a934" # tag: v3.10.1 rev2 = "a58ebcc701dd" # tag: v3.10.2 cfgfile = self.create_compile_config(rev1, rev2) # XXX Capture and check the output. self.run_pyperformance( "compile_all", cfgfile, capture=None, ) @tests.CPYTHON_ONLY @tests.NON_WINDOWS_ONLY @unittest.expectedFailure def test_upload(self): url = "" cfgfile = self.create_compile_config(upload=url) resfile = os.path.join(tests.DATA_DIR, "py36.json") # XXX Capture and check the output. self.run_pyperformance( "upload", cfgfile, resfile, capture=None, ) ################################### # show def test_show(self): for filename in ( os.path.join(tests.DATA_DIR, "py36.json"), os.path.join(tests.DATA_DIR, "mem1.json"), ): with self.subTest(filename): # XXX Capture and check the output. self.run_pyperformance("show", filename, capture=None) ################################### # compare def compare(self, *args, exitcode=0, dataset="py", file2="py38.json", **kw): if dataset == "mem": file1 = "mem1.json" file2 = "mem2.json" else: file1 = "py36.json" marker = file1 stdout = self.run_pyperformance( "compare", os.path.join(tests.DATA_DIR, file1), os.path.join(tests.DATA_DIR, file2), *args, exitcode=exitcode, verbose=False, ) if marker in stdout: stdout = stdout[stdout.index(marker) :] return stdout + "\n" def test_compare(self): stdout = self.compare() self.assertEqual( stdout, textwrap.dedent(""" py36.json ========= Performance version: 1.0.1 Python version: 3.6.10 (64-bit) Report on Linux-5.5.9-200.fc31.x86_64-x86_64-with-fedora-31-Thirty_One Number of logical CPUs: 8 Start date: 2020-03-26 15:50:39.816020 End date: 2020-03-26 15:50:56.406559 py38.json ========= Performance version: 1.0.1 Python version: 3.8.2 (64-bit) Report on Linux-5.5.9-200.fc31.x86_64-x86_64-with-glibc2.2.5 Number of logical CPUs: 8 Start date: 2020-03-26 15:54:12.331569 End date: 2020-03-26 15:54:23.900355 ### telco ### Mean +- std dev: 10.7 ms +- 0.5 ms -> 7.2 ms +- 0.3 ms: 1.49x faster Significant (t=44.97) """).lstrip(), ) def test_compare_wrong_version(self): stdout = self.compare(file2="py3_performance03.json", exitcode=1) self.assertEqual( stdout, textwrap.dedent(""" py36.json ========= Performance version: 1.0.1 Python version: 3.6.10 (64-bit) Report on Linux-5.5.9-200.fc31.x86_64-x86_64-with-fedora-31-Thirty_One Number of logical CPUs: 8 Start date: 2020-03-26 15:50:39.816020 End date: 2020-03-26 15:50:56.406559 py3_performance03.json ====================== Performance version: 0.3 Skipped 1 benchmarks only in py36.json: telco Skipped 1 benchmarks only in py3_performance03.json: call_simple ERROR: Performance versions are different (1.0.1 != 0.3) """).lstrip(), ) def test_compare_single_value(self): stdout = self.compare(dataset="mem") self.assertEqual( stdout, textwrap.dedent(""" mem1.json ========= Performance version: 0.2 mem2.json ========= Performance version: 0.2 ### call_simple ### 7896.0 KiB -> 7900.0 KiB: 1.00x larger """).lstrip(), ) def test_compare_csv(self): expected = textwrap.dedent(""" Benchmark,Base,Changed telco,0.01073,0.00722 """).lstrip() filename = self.resolve_tmp("outfile.csv", unique=True) with tests.CleanupFile(filename): self.compare("--csv", filename) with open(filename, "r", encoding="utf-8") as infile: csv = infile.read() self.assertEqual(csv, expected) def test_compare_table(self): stdout = self.compare("-O", "table") self.assertEqual( stdout, textwrap.dedent(""" py36.json ========= Performance version: 1.0.1 Python version: 3.6.10 (64-bit) Report on Linux-5.5.9-200.fc31.x86_64-x86_64-with-fedora-31-Thirty_One Number of logical CPUs: 8 Start date: 2020-03-26 15:50:39.816020 End date: 2020-03-26 15:50:56.406559 py38.json ========= Performance version: 1.0.1 Python version: 3.8.2 (64-bit) Report on Linux-5.5.9-200.fc31.x86_64-x86_64-with-glibc2.2.5 Number of logical CPUs: 8 Start date: 2020-03-26 15:54:12.331569 End date: 2020-03-26 15:54:23.900355 +-----------+-----------+-----------+--------------+-----------------------+ | Benchmark | py36.json | py38.json | Change | Significance | +===========+===========+===========+==============+=======================+ | telco | 10.7 ms | 7.22 ms | 1.49x faster | Significant (t=44.97) | +-----------+-----------+-----------+--------------+-----------------------+ """).lstrip(), ) def test_compare_table_single_value(self): stdout = self.compare("-O", "table", dataset="mem") self.assertEqual( stdout, textwrap.dedent(""" mem1.json ========= Performance version: 0.2 mem2.json ========= Performance version: 0.2 +-------------+------------+------------+--------------+------------------------------------------+ | Benchmark | mem1.json | mem2.json | Change | Significance | +=============+============+============+==============+==========================================+ | call_simple | 7896.0 KiB | 7900.0 KiB | 1.00x larger | (benchmark only contains a single value) | +-------------+------------+------------+--------------+------------------------------------------+ """).lstrip(), ) if __name__ == "__main__": unittest.main() pyperformance-1.14.0/pyperformance/tests/test_pyproject_toml.py000066400000000000000000000065451514162565100251660ustar00rootroot00000000000000import pathlib import tempfile import unittest from pyperformance import _pyproject_toml class TestPyProjectToml(unittest.TestCase): def test_parse_project_with_readme_string(self): with tempfile.TemporaryDirectory() as tmpdir: tmp_path = pathlib.Path(tmpdir) toml_content = """ [project] name = "my-test-bench" version = "1.0" readme = "README.md" """ (tmp_path / "README.md").touch() data = _pyproject_toml.parse_pyproject_toml( toml_content, rootdir=str(tmp_path), requirefiles=True ) self.assertEqual(data["project"]["readme"]["file"], "README.md") def test_parse_full_valid_project_section(self): with tempfile.TemporaryDirectory() as tmpdir: toml_content = """ [project] name = "my-full-bench" version = "2.1.3" dependencies = [ "pyperf", "six", ] requires-python = ">=3.12" """ data = _pyproject_toml.parse_pyproject_toml( toml_content, rootdir=str(tmpdir) ) project = data["project"] self.assertEqual(project["name"], "my-full-bench") self.assertEqual(project["version"], "2.1.3") self.assertEqual(project["dependencies"], ["pyperf", "six"]) self.assertEqual(project["requires-python"], ">=3.12") def test_parse_fails_on_missing_name(self): with tempfile.TemporaryDirectory() as tmpdir: toml_content = """ [project] version = "1.0" """ with self.assertRaisesRegex(ValueError, r'missing required "name" field'): _pyproject_toml.parse_pyproject_toml(toml_content, rootdir=str(tmpdir)) def test_parse_fails_on_unsupported_section(self): with tempfile.TemporaryDirectory() as tmpdir: toml_content = """ [project] name = "my-test-bench" version = "1.0" [foobar] key = "value" """ with self.assertRaisesRegex(ValueError, "unsupported sections"): _pyproject_toml.parse_pyproject_toml(toml_content, rootdir=str(tmpdir)) def test_parse_readme_file_missing_with_requirefiles_true(self): with tempfile.TemporaryDirectory() as tmpdir: toml_content = """ [project] name = "my-test-bench" version = "1.0" readme = "MISSING_README.md" """ with self.assertRaisesRegex(ValueError, "does not exist"): _pyproject_toml.parse_pyproject_toml( toml_content, rootdir=str(tmpdir), requirefiles=True ) def test_parse_readme_file_missing_with_requirefiles_false(self): with tempfile.TemporaryDirectory() as tmpdir: toml_content = """ [project] name = "my-test-bench" version = "1.0" readme = "MISSING_README.md" """ data = _pyproject_toml.parse_pyproject_toml( toml_content, rootdir=str(tmpdir), requirefiles=False ) self.assertEqual(data["project"]["readme"]["file"], "MISSING_README.md") if __name__ == "__main__": unittest.main() pyperformance-1.14.0/pyperformance/tests/test_python.py000066400000000000000000000024221514162565100234230ustar00rootroot00000000000000import types import unittest from pyperformance import _python class GetIDTests(unittest.TestCase): def _dummy_info(self): info = types.SimpleNamespace( sys=types.SimpleNamespace( executable="/a/b/c/bin/spam-python", version="3.8.10 (default, May 5 2021, 03:01:07) \n[GCC 7.5.0]", version_info=(3, 8, 10, "final", 0), api_version=1013, implementation=types.SimpleNamespace( name="cpython", version=(3, 8, 10, "final", 0), ), ), pyc_magic_number=b"U\r\r\n", ) base_id = "b14d92fd0e6f" return info, base_id def test_no_prefix(self): info, expected = self._dummy_info() pyid = _python.get_id(info) self.assertEqual(pyid, expected) def test_default_prefix(self): info, expected = self._dummy_info() expected = f"cpython3.8-{expected}" pyid = _python.get_id(info, prefix=True) self.assertEqual(pyid, expected) def test_given_prefix(self): info, expected = self._dummy_info() expected = f"spam-{expected}" pyid = _python.get_id(info, prefix="spam-") self.assertEqual(pyid, expected) pyperformance-1.14.0/pyperformance/tests/test_pythoninfo.py000066400000000000000000000060701514162565100243020ustar00rootroot00000000000000import importlib.util import os import sys import sysconfig import unittest from pyperformance import _pythoninfo, tests IS_VENV = sys.prefix != sys.base_prefix CURRENT = { "executable (sys)": sys.executable, "executable (sys;realpath)": os.path.realpath(sys.executable), "base_executable": sys.executable, "base_executable (sys)": getattr(sys, "_base_executable", None), "version_str (sys)": sys.version, "version_info (sys)": sys.version_info, "hexversion (sys)": sys.hexversion, "api_version (sys)": sys.api_version, "pyc_magic_number": importlib.util.MAGIC_NUMBER, "implementation_name (sys)": sys.implementation.name, "implementation_version (sys)": sys.implementation.version, "platform (sys)": sys.platform, "prefix (sys)": sys.prefix, "exec_prefix (sys)": sys.exec_prefix, "base_prefix (sys)": sys.base_prefix, "base_exec_prefix (sys)": sys.base_exec_prefix, "stdlib_dir": os.path.dirname(os.__file__), "stdlib_dir (sys)": getattr(sys, "_stdlib_dir", None), "stdlib_dir (sysconfig)": sysconfig.get_path("stdlib"), "is_dev (sysconfig)": sysconfig.is_python_build(), "is_venv": sys.prefix != sys.base_prefix, } if IS_VENV: if CURRENT["base_executable"] == sys.executable: if CURRENT["base_executable (sys)"] == sys.executable: CURRENT["base_executable"] = None else: CURRENT["base_executable"] = CURRENT["base_executable (sys)"] class GetInfoTests(tests.Functional, unittest.TestCase): maxDiff = 80 * 100 def test_no_args(self): expected = _pythoninfo._build_info(CURRENT) info = _pythoninfo.get_info() self.assertEqual(vars(info), vars(expected)) def test_current(self): expected = _pythoninfo._build_info(CURRENT) info = _pythoninfo.get_info(sys.executable) self.assertEqual(vars(info), vars(expected)) def test_venv(self): expected = _pythoninfo._build_info(CURRENT) if IS_VENV: python = sys.executable else: venv, python, cleanup = tests.create_venv() self.addCleanup(cleanup) expected.sys.executable = python realpath = os.path.realpath(os.path.normpath(sys.executable)) if os.name == "nt": # It isn't a symlink. expected.executable_realpath = os.path.realpath(python) expected.sys._base_executable = realpath expected.base_executable = realpath expected.sys.prefix = venv expected.sys.exec_prefix = venv expected.sys.version_info = tuple(expected.sys.version_info) (expected.sys.implementation.version) = tuple( expected.sys.implementation.version ) expected.is_venv = True info = _pythoninfo.get_info(python) # We have to work around a possible bug. if not info.base_executable: expected.base_executable = None expected.sys._base_executable = info.sys._base_executable self.assertEqual(vars(info), vars(expected)) pyperformance-1.14.0/pyperformance/tests/test_venv.py000066400000000000000000000046641514162565100230720ustar00rootroot00000000000000import os import os.path import sys import types import unittest import pyperformance._venv from pyperformance import tests def new_venv_config( root, home=None, version=None, prompt=None, system_site_packages=False, executable=None, command=None, *, old=sys.version_info < (3, 11), ): if not home: home = os.path.dirname(sys.executable) if not version: version = ".".join(str(v) for v in sys.version_info[:3]) if not isinstance(system_site_packages, str): system_site_packages = "true" if system_site_packages else "false" system_site_packages = system_site_packages == "true" if not old: if executable is None: executable = sys.executable if command is None: command = f"{executable} -m venv {root}" return types.SimpleNamespace( home=home, version=version, system_site_packages=system_site_packages, prompt=prompt, executable=executable, command=command, ) def render_venv_config(cfg): lines = [ f"home = {cfg.home}", f"version = {cfg.version}", f"include-system-site-packages = {cfg.system_site_packages}", ] if cfg.prompt is not None: lines.append(f"prompt = {cfg.prompt}") if cfg.executable is not None: lines.append(f"executable = {cfg.executable}") if cfg.command is not None: lines.append(f"command = {cfg.command}") return "".join(line + os.linesep for line in lines) class VenvConfigTests(tests.Functional, unittest.TestCase): # Note that we do not call self.ensure_venv(). def generate_config(self, root, **kwargs): if not os.path.isabs(root): root = self.resolve_tmp(root) cfg = new_venv_config(root, **kwargs) text = render_venv_config(cfg) os.makedirs(root) filename = os.path.join(root, "pyvenv.cfg") with open(filename, "w", encoding="utf-8") as outfile: outfile.write(text) return cfg, filename, root def test_read(self): expected, _, root = self.generate_config("spam") cfg = pyperformance._venv.read_venv_config(root) self.assertEqual(vars(cfg), vars(expected)) def test_parse(self): expected = new_venv_config("spam") text = render_venv_config(expected) cfg = pyperformance._venv.parse_venv_config(text) self.assertEqual(vars(cfg), vars(expected)) pyperformance-1.14.0/pyperformance/venv.py000066400000000000000000000171611514162565100206650ustar00rootroot00000000000000import os import os.path import sys import pyperformance from . import _pip, _utils, _venv REQUIREMENTS_FILE = os.path.join( os.path.dirname(__file__), "requirements", "requirements.txt" ) PYPERF_OPTIONAL = ["psutil"] class Requirements(object): @classmethod def from_file(cls, filename): self = cls() self._add_from_file(filename) return self @classmethod def from_benchmarks(cls, benchmarks): self = cls() for bench in benchmarks or (): filename = bench.requirements_lockfile self._add_from_file(filename) return self def __init__(self): # if pip or setuptools is updated: # .github/workflows/main.yml should be updated as well # requirements self.specs = [] def __len__(self): return len(self.specs) def __iter__(self): for spec in self.specs: yield spec def _add_from_file(self, filename): if not os.path.exists(filename): return for line in _utils.iter_clean_lines(filename): fullpath = os.path.join(os.path.dirname(filename), line.strip()) if os.path.isfile(fullpath): self._add(fullpath) else: self._add(line) def _add(self, line): self.specs.append(line) def get(self, name): for req in self.specs: if _pip.get_pkg_name(req) == name: return req return None # This is used by the hg_startup benchmark. def get_venv_program(program): bin_path = os.path.dirname(sys.executable) bin_path = os.path.realpath(bin_path) if not os.path.isabs(bin_path): print("ERROR: Python executable path is not absolute: %s" % sys.executable) sys.exit(1) if not os.path.exists(os.path.join(bin_path, "activate")): print( "ERROR: Unable to get the virtual environment of " "the Python executable %s" % sys.executable ) sys.exit(1) if os.name == "nt": path = os.path.join(bin_path, program) else: path = os.path.join(bin_path, program) if not os.path.exists(path): print( "ERROR: Unable to get the program %r " "from the virtual environment %r" % (program, bin_path) ) sys.exit(1) return path NECESSARY_ENV_VARS = { "nt": [ "ALLUSERSPROFILE", "APPDATA", "COMPUTERNAME", "ComSpec", "CommonProgramFiles", "CommonProgramFiles(x86)", "CommonProgramW6432", "HOMEDRIVE", "HOMEPATH", "LOCALAPPDATA", "NUMBER_OF_PROCESSORS", "OS", "PATHEXT", "PROCESSOR_ARCHITECTURE", "PROCESSOR_IDENTIFIER", "PROCESSOR_LEVEL", "PROCESSOR_REVISION", "Path", "ProgramData", "ProgramFiles", "ProgramFiles(x86)", "ProgramW6432", "SystemDrive", "SystemRoot", "TEMP", "TMP", "USERDNSDOMAIN", "USERDOMAIN", "USERDOMAIN_ROAMINGPROFILE", "USERNAME", "USERPROFILE", "windir", ], } NECESSARY_ENV_VARS_DEFAULT = [ "HOME", "PATH", ] def _get_envvars(inherit=None, osname=None): # Restrict the env we use. try: necessary = NECESSARY_ENV_VARS[osname or os.name] except KeyError: necessary = NECESSARY_ENV_VARS_DEFAULT copy_env = list(necessary) if inherit: copy_env.extend(inherit) env = {} for name in copy_env: if name in os.environ: env[name] = os.environ[name] return env class VenvForBenchmarks(_venv.VirtualEnvironment): @classmethod def create( cls, root=None, python=None, *, inherit_environ=None, upgrade=False, ): env = _get_envvars(inherit_environ) self = super().create(root, python, env=env, withpip=False) self.inherit_environ = inherit_environ try: self.ensure_pip(upgrade=upgrade) except BaseException: _utils.safe_rmtree(self.root) raise # Display the pip version _pip.run_pip("--version", python=self.python, env=self._env) return self @classmethod def ensure( cls, root, python=None, *, inherit_environ=None, upgrade=False, **kwargs ): exists = _venv.venv_exists(root) if upgrade == "oncreate": upgrade = not exists elif upgrade == "onexists": upgrade = exists elif isinstance(upgrade, str): raise NotImplementedError(upgrade) if exists: self = super().ensure(root) self.inherit_environ = inherit_environ if upgrade: self.upgrade_pip() else: self.ensure_pip(upgrade=False) return self else: return cls.create( root, python, inherit_environ=inherit_environ, upgrade=upgrade, **kwargs ) def __init__(self, root, *, base=None, inherit_environ=None): super().__init__(root, base=base) self.inherit_environ = inherit_environ or None @property def _env(self): # Restrict the env we use. return _get_envvars(self.inherit_environ) def install_pyperformance(self): print("installing pyperformance in the venv at %s" % self.root) # Install pyperformance inside the virtual environment. if pyperformance.is_dev(): basereqs = Requirements.from_file(REQUIREMENTS_FILE) self.ensure_reqs(basereqs) if basereqs.get("pyperf"): self._install_pyperf_optional_dependencies() root_dir = os.path.dirname(pyperformance.PKG_ROOT) ec, _, _ = _pip.install_editable( root_dir, python=self.info, env=self._env, ) if ec != 0: raise _venv.RequirementsInstallationFailedError(root_dir) else: version = pyperformance.__version__ self.ensure_reqs([f"pyperformance=={version}"]) self._install_pyperf_optional_dependencies() def _install_pyperf_optional_dependencies(self): for req in PYPERF_OPTIONAL: try: self.ensure_reqs([req]) except _venv.RequirementsInstallationFailedError: print("WARNING: failed to install %s" % req) pass def ensure_reqs(self, requirements=None): # parse requirements bench = None if requirements is None: requirements = Requirements() elif hasattr(requirements, "requirements_lockfile"): bench = requirements requirements = Requirements.from_benchmarks([bench]) # Every benchmark must depend on pyperf. if bench is not None and not requirements.get("pyperf"): basereqs = Requirements.from_file(REQUIREMENTS_FILE) pyperf_req = basereqs.get("pyperf") if not pyperf_req: raise NotImplementedError requirements.specs.append(pyperf_req) # XXX what about psutil? if not requirements: print("(nothing to install)") else: # install requirements super().ensure_reqs( *requirements, upgrade=False, ) if bench is not None: self._install_pyperf_optional_dependencies() # Dump the package list and their versions: pip freeze _pip.run_pip("freeze", python=self.python, env=self._env) return requirements pyperformance-1.14.0/pyproject.toml000066400000000000000000000066001514162565100173730ustar00rootroot00000000000000# Update dependencies: # # - python3 -m pip install --user --upgrade pip-tools build # - git clean -fdx # remove all untracked files! # - (pip-compile --upgrade -o requirements.txt requirements.in) # # Prepare a release: # # - git pull --rebase # - Remove untracked files/dirs: git clean -fdx # - maybe update version in pyperformance/__init__.py and doc/conf.py # - set release date in doc/changelog.rst # - git commit -a -m "prepare release x.y" # - run tests: tox --parallel auto # - git push # - check the CI status: # https://github.com/python/pyperformance/actions # # Release a new version with GitHub (preferred): # # - go to the GitHub release tab: https://github.com/python/pyperformance/releases # - click "Draft a new release" and fill the contents # - finally click the "Publish release" button! Done! # - monitor the publish status: https://github.com/python/pyperformance/actions/workflows/publish.yml # # Release a new version manually: # # - git tag VERSION # - git push --tags # - Remove untracked files/dirs: git clean -fdx # - python -m build # - twine upload dist/* # # After the release: # # - set version to n+1: pyperformance/__init__.py and doc/conf.py # - git commit -a -m "post-release" # - git push [build-system] build-backend = "setuptools.build_meta" requires = [ "setuptools>=61" ] [project] name = "pyperformance" description = "Python benchmark suite" readme = "README.rst" license = { text = "MIT" } authors = [ { name = "Collin Winter" }, { name = "Jeffrey Yasskin" } ] requires-python = ">=3.10" classifiers = [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 3 :: Only", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3.14", ] dynamic = [ "version" ] dependencies = [ "packaging", "pyperf", "tomli; python_version<'3.11'", ] optional-dependencies.dev = [ "mypy==1.19.1", "tomli", # Needed even on 3.11+ for typechecking with mypy "tox", ] urls = { Homepage = "https://github.com/python/pyperformance" } scripts.pyperformance = "pyperformance.cli:main" [tool.setuptools] include-package-data = true [tool.setuptools.packages] find = {} # Scanning implicit namespaces is active by default [tool.setuptools.dynamic] version = { attr = "pyperformance.__version__" } [tool.ruff] target-version = "py310" exclude = [ "pyperformance/data-files/", ] fix = true lint.select = [ "E", # pycodestyle errors "F", # pyflakes errors "I", # isort "ISC", # flake8-implicit-str-concat "RUF022", # unsorted-dunder-all "RUF100", # unused noqa (yesqa) ] lint.ignore = [ "E501", # line too long ] [tool.pyproject-fmt] max_supported_python = "3.14" [tool.mypy] python_version = "3.10" pretty = true enable_error_code = "ignore-without-code" disallow_any_generics = true strict_concatenate = true warn_redundant_casts = true warn_unused_ignores = true warn_unused_configs = true files = [ 'pyperformance/', ] exclude = [ 'pyperformance/data-files/', 'pyperformance/tests/', ] [[tool.mypy.overrides]] module = "pyperf" ignore_missing_imports = true pyperformance-1.14.0/requirements.in000066400000000000000000000011601514162565100175260ustar00rootroot00000000000000# When one of these dependencies is upgraded, the pyperformance major version # should be increased to respect semantic versionning. Comparison between # two pyperformance results of two different major versions is not reliable. # # To rebuild requirements.txt: # # pip-compile --upgrade -o requirements.txt requirements.in # pyperformance dependencies # -------------------------- pyperf # for benchmark metadata: packaging tomli; python_version < '3.11' # Optional dependencies # --------------------- # # The list of optional dependencies is hardcoded in pyperformance/venv.py # XXX Do we still need this? psutil pyperformance-1.14.0/requirements.txt000077700000000000000000000000001514162565100306152pyperformance/requirements/requirements.txtustar00rootroot00000000000000pyperformance-1.14.0/runtests.py000077500000000000000000000012101514162565100167130ustar00rootroot00000000000000#!/usr/bin/env python3 import os.path import subprocess import sys from dev import ensure_venv_ready def main(): venvroot, python = ensure_venv_ready(kind="tests") if python != sys.executable: # Now re-run using the venv. os.execv(python, [python, *sys.argv]) # # Now run the tests. proc = subprocess.run( [sys.executable, "-u", "-m", "pyperformance.tests"], cwd=os.path.dirname(__file__) or None, env=dict( os.environ, PYPERFORMANCE_TESTS_VENV=venvroot, ), ) sys.exit(proc.returncode) if __name__ == "__main__": main() pyperformance-1.14.0/tox.ini000066400000000000000000000013051514162565100157670ustar00rootroot00000000000000[tox] envlist = py3, pypy3, doc, pep8, mypy isolated_build = True [testenv] commands = python runtests.py # don't override basepython to python3 here, to use pypy3 in testenv:pypy3 [testenv:py3] basepython = python3 [testenv:doc] basepython = python3 deps= sphinx allowlist_externals = make commands= make -C doc clean html [testenv:pep8] basepython = python3 deps = flake8 commands = flake8 pyperformance runtests.py setup.py [flake8] # E501 line too long (88 > 79 characters) # E741 ambiguous variable name 'l' (don't modify benhcmarks just for that) # W503 line break before binary operator ignore = E501,E741,W503 [testenv:mypy] basepython = python3 deps= mypy tomli commands = mypy