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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
13 lines
272 B
Bash
Executable File
13 lines
272 B
Bash
Executable File
#!/usr/bin/env bash
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set -o pipefail
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set +e
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CURR_DIR=$(dirname "$0")
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# Format diff-coverage.txt for PR comment
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poetry run python "$CURR_DIR"/coverage_report_format.py \
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global-coverage \
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--global-coverage-json-file "$1" \
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--global-coverage-output-file diff-coverage.txt
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