Add help messages

refactor: replace Codeanalyzer constructor parameters with AnalysisOp…

…tions dataclass

BREAKING CHANGE: Codeanalyzer constructor now takes a single AnalysisOptions
parameter instead of 9 individual parameters, improving API design and
maintainability.

- Add new codeanalyzer.options module with AnalysisOptions dataclass
- Refactor Codeanalyzer.__init__ to accept AnalysisOptions parameter
- Update CLI to create AnalysisOptions instance from command arguments
- Improve type safety and configuration management
- Enhance code organization and maintainability
- Update version to 0.1.12 in pyproject.toml
- Add comprehensive changelog documentation
- Remove obsolete test_numpy_constraints.py file

Closes #12

Release v0.1.11: Python 3.12 NumPy Compatibility & Pydantic v1/v2 Sup…

…port

CRITICAL BUG FIXES:
🔧 Fixed NumPy build failure on Python 3.12+ due to missing 'distutils' module (#19)
   • Split NumPy dependency constraints into three tiers for optimal compatibility
   • Python < 3.11: numpy>=1.21.0,<1.24.0
   • Python 3.11.x: numpy>=1.24.0,<2.0.0
   • Python 3.12+: numpy>=1.26.0,<2.0.0 (NumPy 1.26+ supports Python 3.12)
   • Resolves ModuleNotFoundError when installing on Python 3.12+

🔧 Fixed Pydantic v1/v2 compatibility issues throughout the codebase
   • Added runtime Pydantic version detection and compatibility layer
   • Introduced model_dump_json() and model_validate_json() helper functions
   • Fixed deprecated PyApplication.parse_raw() method usage
   • Updated CLI JSON serialization methods for cross-version compatibility

ENHANCEMENTS:
✨ Enhanced Pydantic compatibility infrastructure
   • Runtime version detection using importlib.metadata
   • Compatibility abstraction layer for JSON serialization/deserialization
   • Improved forward reference resolution for both Pydantic v1 and v2
   • Better error handling for missing Pydantic dependency

TECHNICAL IMPROVEMENTS:
🛠️ Added 'packaging' dependency for robust version comparison
🛠️ Enhanced schema module with runtime version detection and compatibility helpers
🛠️ Updated core analysis caching system to use compatible Pydantic JSON methods
🛠️ Improved CLI output formatting with cross-version Pydantic support

This release ensures compatibility with Python 3.12+ and provides seamless support
for both Pydantic v1 and v2, preventing installation failures and runtime errors.

Release v0.1.10: Ray Distributed Processing, Incremental Caching, and…

… Critical Bug Fixes

Major Features:
- Ray distributed processing for parallel symbol table generation
- Incremental caching system with SHA256-based file change detection
- Single file analysis capability with --file-name flag
- Enhanced Python compatibility (3.9+) and dependency management

Critical Bug Fixes:
- Fixed nested function detection (Issue #15)
- Fixed nested method/function signature generation
- Improved Pydantic v1 compatibility

Performance Improvements:
- 2-10x faster analysis on subsequent runs
- Automatic caching with content hash validation
- Progress bar support for both serial and parallel modes

Breaking Changes:
- Pydantic downgraded to v1 API for stability
- More conservative dependency version constraints

v0.1.9: Fix OutputFormat casefold error and update README

v0.1.8: Add missing config module files

v0.1.7: Relax Python version constraint to >=3.10

Fix issue #13 by downgrading to 3.10

Fix issues #8 and #9

Add compression for output file with gzip and MessagePack. Add inbuil…

…d decompression logic

Signed-off-by: Rahul Krishna <[email protected]>