Integrate with Game and Puzzle datasets

[Xmaster6y]

Closes #31

Summary by Sourcery

This pull request integrates the Game and Puzzle datasets, introduces new classes for handling chess puzzles and random sampling, and adds scripts for dataset generation. It also includes refactoring of existing classes and new unit tests to ensure functionality.

• New Features:
  • Introduced a new Puzzle class with methods for parsing and evaluating chess puzzles.
  • Added RandomSampler class for generating random moves in chess games.
  • Created scripts for generating datasets from Lichess and TCEC sources, with options to push to the Hugging Face hub.
• Enhancements:
  • Refactored Game class to include class methods for dictionary conversion and board state generation.
  • Enhanced Sampler class with new methods for utility calculation and move selection.
• Tests:
  • Added unit tests for the RandomSampler class.
  • Introduced unit tests for the Puzzle class to validate puzzle evaluation.
• Chores:
  • Updated __init__.py to include the new puzzle module.
  • Added a constants file for managing script-related secrets.

[sourcery-ai]

Reviewer's Guide by Sourcery

This pull request integrates the Game and Puzzle datasets by refactoring existing classes and adding new ones. It includes methods for data conversion and evaluation, scripts for dataset generation, and unit tests for the new functionality.

File-Level Changes

Files	Changes
src/lczerolens/play/game.py src/lczerolens/play/puzzle.py src/lczerolens/play/sampling.py	Refactored existing classes and added new classes for handling Game and Puzzle datasets, including methods for data conversion and evaluation.
scripts/datasets/make_lichess_dataset.py scripts/datasets/make_tcec_dataset.py	Added scripts for generating and optionally pushing Lichess and TCEC datasets to the hub.
tests/unit/core/test_sampling.py tests/unit/core/test_puzzle.py	Added unit tests for new and existing functionality in sampling and puzzle modules.

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[sourcery-ai]

Hey @Xmaster6y - I've reviewed your changes and they look great!

Here's what I looked at during the review

• 🟡 General issues: 3 issues found
• 🟢 Security: all looks good
• 🟡 Testing: 4 issues found
• 🟢 Complexity: all looks good
• 🟢 Documentation: all looks good

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