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Browse files
runner.py
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@@ -1,37 +1,37 @@
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# -----------------------------------------------------------------------------
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# This Python script is the primary entry point called by our judge. It runs
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# your code to generate anomaly scores, then evaluates those scores to produce
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# the final results.
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# -----------------------------------------------------------------------------
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import subprocess
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# Step 1: Generate anomaly scores
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subprocess.run(["
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# Step 2: Evaluate the generated scores
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subprocess.run(
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[
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"python3",
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"evaluation/eval_main.py",
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"--device",
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"0",
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"--data_path",
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"./data/",
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"--dataset_name",
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"rayan_dataset",
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"--class_name",
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"all",
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"--output_dir",
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"./output",
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"--output_scores_dir",
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"./output_scores",
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"--save_csv",
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"True",
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"--save_json",
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"True",
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"--class_name_mapping_dir",
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"./evaluation/class_name_mapping.json",
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],
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check=True,
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)
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# -----------------------------------------------------------------------------
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# This Python script is the primary entry point called by our judge. It runs
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# your code to generate anomaly scores, then evaluates those scores to produce
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# the final results.
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# -----------------------------------------------------------------------------
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import subprocess
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# Step 1: Generate anomaly scores
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subprocess.run(["run.sh"], check=True)
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# Step 2: Evaluate the generated scores
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subprocess.run(
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[
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"python3",
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"evaluation/eval_main.py",
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"--device",
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"0",
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"--data_path",
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"./data/",
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"--dataset_name",
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"rayan_dataset",
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"--class_name",
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"all",
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"--output_dir",
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"./output",
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"--output_scores_dir",
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"./output_scores",
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"--save_csv",
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"True",
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"--save_json",
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"True",
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"--class_name_mapping_dir",
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"./evaluation/class_name_mapping.json",
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],
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check=True,
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)
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