3-telescope XGB

[GernotMaier]

No description provided.

[Copilot]

Pull request overview

This PR refactors the XGBoost direction reconstruction code by extracting training variables into a shared module and adds telescope selection functionality for model application. The key changes include:

• Extracted training variables into a reusable xgb_training_variables() function
• Added telescope selection capability with support for bit-coded and comma-separated formats
• Enhanced the apply_models() function to handle selective event processing
• Added comprehensive test coverage for the new telescope selection features

Reviewed changes

Copilot reviewed 6 out of 6 changed files in this pull request and generated 3 comments.

Show a summary per file

File	Description
python/training_variables.py	New module defining the xgb_training_variables() function to centralize training variable definitions
python/trainXGBoostforDirection.py	Refactored to use xgb_training_variables() from the new module, removing duplicate variable list
python/applyXGBoostforDirection.py	Added telescope selection parsing, filtering, and mask-based processing; refactored to use shared training variables
python/tests/test_applyXGBoostforDirection.py	New test file with comprehensive coverage for image selection parsing, filtering, and model application
pytest.ini	Configuration file to set Python path for pytest
environment.yml	Added pytest, pytest-cov, pytest-mock, and shellcheck dependencies

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[Copilot]

Pull request overview

Copilot reviewed 6 out of 6 changed files in this pull request and generated 7 comments.

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