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* Update gitignore * Bump version to 2.4.0 * Update readme * Pre-download california housing data * Use pre-downloaded california housing data * Pin lightning<=2.5.6 * Fix typo in find and replace * Fix estimators has no attribute __sklearn_tags__ * Pin torch to 2.2.2 in tests * Fix conflict * Update pytorch-forecasting * Update pytorch-forecasting * Update pytorch-forecasting * Use numpy<2 for testing * Update scikit-learn * Run Build and UT every other day * Pin pip<24.1 * Pin pip<24.1 in pipeline * Loosen pip, install pytorch_forecasting only in py311 * Add support to new versions of nlp dependecies * Fix formats * Remove redefinition * Update mlflow versions * Fix mlflow version syntax * Update gitignore * Clean up cache to free space * Remove clean up action cache * Fix blendsearch * Update test workflow * Update setup.py * Fix catboost version * Update workflow * Prepare for python 3.14 * Support no catboost * Fix tests * Fix python_requires * Update test workflow * Fix vw tests * Remove python 3.9 * Fix nlp tests * Fix prophet * Print pip freeze for better debugging * Fix Optuna search does not support parameters of type Float with samplers of type Quantized * Save dependencies for later inspection * Fix coverage.xml not exists * Fix github action permission * Handle python 3.13 * Address openml is not installed * Check dependencies before run tests * Update dependencies * Fix syntax error * Use bash * Update dependencies * Fix git error * Loose mlflow constraints * Add rerun, use mlflow-skinny * Fix git error * Remove ray tests * Update xgboost versions * Fix automl pickle error * Don't test python 3.10 on macos as it's stuck * Rebase before push * Reduce number of branches
61 lines
1.2 KiB
Python
61 lines
1.2 KiB
Python
import subprocess
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from importlib.metadata import distributions
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installed_libs = sorted(f"{dist.metadata['Name']}=={dist.version}" for dist in distributions())
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first_tier_dependencies = [
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"numpy",
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"jupyter",
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"lightgbm",
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"xgboost",
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"scipy",
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"pandas",
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"scikit-learn",
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"thop",
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"pytest",
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"pytest-rerunfailures",
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"coverage",
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"pre-commit",
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"torch",
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"torchvision",
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"catboost",
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"rgf-python",
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"optuna",
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"openml",
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"statsmodels",
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"psutil",
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"dataclasses",
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"transformers[torch]",
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"transformers",
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"datasets",
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"evaluate",
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"nltk",
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"rouge_score",
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"hcrystalball",
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"seqeval",
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"pytorch-forecasting",
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"mlflow-skinny",
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"joblibspark",
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"joblib",
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"nbconvert",
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"nbformat",
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"ipykernel",
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"pytorch-lightning",
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"tensorboardX",
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"requests",
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"packaging",
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"dill",
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"ray",
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"prophet",
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]
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for lib in installed_libs:
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lib_name = lib.split("==")[0]
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if lib_name in first_tier_dependencies:
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print(lib)
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# print current commit hash
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commit_hash = subprocess.check_output(["git", "rev-parse", "HEAD"]).decode("utf-8").strip()
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print(f"Current commit hash: {commit_hash}")
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