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renaming of imas-python to IMAS-Python
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CONTRIBUTING.md

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# Contributing guidelines
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We welcome any kind of contribution to `imas-python`,
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We welcome any kind of contribution to `IMAS-Python`,
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from a simple comment, a question or even a full fledged pull
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request.
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Please first make sure you read and follow the
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[Code of Conduct](CODE_OF_CONDUCT.md).
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## You think you found a bug in the code, or have a question in its use
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1. use the [issue search](https://github.com/iterorganization/imas-python/issues)
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1. use the [issue search](https://github.com/iterorganization/IMAS-Python/issues)
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to check if someone already created a similar issue;
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3. if not, make a **new issue** to describe your problem or question.
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In the case of a bug suspiscion, please try to give all the relevant
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information to allow reproducing the error or identifying
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its root cause (version of the imas-python, OS and relevant
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its root cause (version of the IMAS-Python, OS and relevant
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dependencies, snippet of code);
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4. apply relevant labels to the issue.
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## You want to make or ask some change to the code
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1. use the [issue search](https://github.com/iterorganization/imas-python/issues)
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1. use the [issue search](https://github.com/iterorganization/IMAS-Python/issues)
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to check if someone already proposed a similar idea/change;
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3. if not, create a **new issue** to describe what change you would like to see
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implemented and specify it if you intend to work on it yourself or if some help

README.md

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# imas-python
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# IMAS-Python
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imas-python is a pure-python library to handle arbitrarily nested data structures.
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imas-python is designed for, but not necessarily bound to, interacting with Interface
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IMAS-Python is a pure-python library to handle arbitrarily nested data structures.
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It is designed for, but not necessarily bound to, interacting with Interface
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Data Structures (IDSs) as defined by the Integrated Modelling & Analysis Suite (IMAS)
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Data Model.
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Install steps are described in the documentation generated from `/docs/source/installing.rst`.
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Documentation is autogenerated from the source using [Sphinx](http://sphinx-doc.org/)
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and can be found at the [readthedocs](https://imas-python.readthedocs.io/en/latest/)
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and can be found at the [readthedocs](https://IMAS-Python.readthedocs.io/en/latest/)
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The documentation can be manually generated by installing sphinx and running:
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## Legal
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imas-python is Copyright 2020-2024 ITER Organization, Copyright 2020-2023 Karel Lucas van de
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IMAS-Python is Copyright 2020-2025 ITER Organization, Copyright 2020-2023 Karel Lucas van de
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Plassche <[email protected]>, Copyright 2020-2022 Daan van Vugt <[email protected]>,
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and Copyright 2020 Dutch Institute for Fundamental Energy Research <[email protected]>.
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It is licensed under [LGPL 3.0](LICENSE.txt).

asv.conf.json

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"project": "imas",
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// The project's homepage
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"project_url": "https://github.com/iterorganization/imas-python",
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"project_url": "https://github.com/iterorganization/IMAS-Python",
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// The URL or local path of the source code repository for the
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// project being benchmarked
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//"install_timeout": 600,
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// the base URL to show a commit for the project.
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"show_commit_url": "https://github.com/iterorganization/imas-python/commits/main/",
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"show_commit_url": "https://github.com/iterorganization/IMAS-Python/commits/main/",
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// The Pythons you'd like to test against. If not provided, defaults
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// to the current version of Python used to run `asv`.

benchmarks/core_profiles.py

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"""Fill a time slice of a core_profiles IDS with generated data.
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Args:
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core_profiles: core_profiles IDS (either from imas-python or AL HLI)
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core_profiles: core_profiles IDS (either from IMAS-Python or AL Python)
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times: time values to fill a slice for
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"""
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core_profiles.ids_properties.homogeneous_time = 1 # HOMOGENEOUS
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core_profiles.ids_properties.comment = "Generated for the imas-python benchmark suite"
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core_profiles.ids_properties.comment = "Generated for the IMAS-Python benchmark suite"
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core_profiles.ids_properties.creation_date = datetime.date.today().isoformat()
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core_profiles.code.name = "imas-python ASV benchmark"
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core_profiles.code.name = "IMAS-Python ASV benchmark"
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core_profiles.code.version = imas.__version__
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core_profiles.code.repository = (
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"https://github.com/iterorganization/imas-python"
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"https://github.com/iterorganization/IMAS-Python"
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)
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core_profiles.time = np.array(times)

benchmarks/edge_profiles.py

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"""Fill nested arrays of structures in grids_ggd and ggd substructures.
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Args:
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edge_profiles: edge_profiles IDS object (either from imas-python or AL HLI)
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edge_profiles: edge_profiles IDS object (either from IMAS-Python or AL Python)
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times: time values to fill
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"""
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edge_profiles.ids_properties.homogeneous_time = (
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imas.ids_defs.IDS_TIME_MODE_HETEROGENEOUS
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)
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edge_profiles.ids_properties.comment = "Generated for imas-python benchmark suite"
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edge_profiles.ids_properties.comment = "Generated for IMAS-Python benchmark suite"
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edge_profiles.ids_properties.creation_date = datetime.date.today().isoformat()
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edge_profiles.code.name = "imas-python ASV benchmark"
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edge_profiles.code.name = "IMAS-Python ASV benchmark"
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edge_profiles.code.version = imas.__version__
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edge_profiles.code.repository = (
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"https://github.com/iterorganization/imas-python"
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"https://github.com/iterorganization/IMAS-Python"
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)
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# This GGD grid is not a valid description, but it's a good stress test for the

benchmarks/utils.py

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)
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except (AttributeError, AssertionError):
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raise NotImplementedError(
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"This version of imas-python doesn't implement netCDF."
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"This version of IMAS-Python doesn't implement netCDF."
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) from None
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path = Path.cwd() / f"DB-{hli}-{backend}"

ci/build_docs_and_dist.sh

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#!/bin/bash
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# Bamboo CI script to install imas and run all tests
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# Bamboo CI script to install imas Python module and run all tests
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# Note: this script should be run from the root of the git repository
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# Debuggging:
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rm -rf dist
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python -m build .
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# Install imas and documentation dependencies from the just-built wheel
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# Install imas Python module and documentation dependencies from the just-built wheel
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pip install "`readlink -f dist/*.whl`[docs,netcdf]"
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# Debugging:

ci/run_benchmark.sh

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#!/bin/bash
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# Bamboo CI script to install imas and run all tests
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# Bamboo CI script to install imas Python module and run all tests
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# Note: this script should be run from the root of the git repository
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# Debuggging:

ci/run_pytest.sh

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#!/bin/bash
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# Bamboo CI script to install imas and run all tests
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# Bamboo CI script to install imas Python module and run all tests
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# Note: this script should be run from the root of the git repository
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# Debuggging:

conftest.py

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# This file is part of imas-python.
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# You should have received the imas-python LICENSE file with this project.
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# This file is part of IMAS-Python.
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# You should have received the IMAS-Python LICENSE file with this project.
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#
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# Set up pytest:
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# - Backend parametrization (and corresponding command line options)

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