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zeekay
bde2e2531b
Machine Learning with FHE - fork of Zama Concrete-ML - Built-in FHE-friendly ML models - scikit-learn compatible API - PyTorch model conversion - Quantization-aware training
36 lines
898 B
Python
36 lines
898 B
Python
"""File to get pylintrc notes"""
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import argparse
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import configparser
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from pathlib import Path
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def main(args):
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"""Entry point
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Args:
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args (Namespace): arguments
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"""
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pylintrc_file_path = Path(args.pylintrc_path).resolve()
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config = configparser.ConfigParser()
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config.read(pylintrc_file_path)
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notes = sorted(map(lambda x: x.strip(), config["MISCELLANEOUS"]["notes"].split(",")))
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# Make sure we at least have todo in there without writing it otherwise we'll match
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notes.append("TO" + "DO")
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notes_for_grep_search = r"\|".join(notes)
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print(notes_for_grep_search)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser("Parse pylintrc notes", allow_abbrev=False)
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parser.add_argument(
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"--pylintrc-path", type=str, required=True, help="Path to pylintrc ini config"
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)
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cli_args = parser.parse_args()
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main(cli_args)
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