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| import os
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| from pxdbench.metrics import Kalign, tmalign
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| def self_consistency(inputs: dict):
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| """
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| Calculate self-consistency metrics (scTM and scRMSD) for a set of input files.
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| Args:
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| inputs (dict): A dictionary where keys are names and values are dictionaries
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| containing "source_file" and "target_file" keys.
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| Returns:
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| dict: A dictionary containing the calculated scTM and scRMSD metrics for each input.
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| """
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| outputs = {}
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| for name, item in inputs.items():
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| source_file = item["source_file"]
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| target_file = item["target_file"]
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| TMscore, rmsd = None, None
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| if not os.path.exists(target_file):
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| print(f"{target_file} does not exist!")
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| outputs[name] = {"scTM": None, "scRMSD": None}
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| continue
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| TMscore = tmalign.get_tm_score(source_file, target_file)
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| try:
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| rmsd = Kalign.align_and_calculate_rmsd(source_file, target_file)
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| rmsd = round(rmsd, 3)
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| except Exception as e:
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| print(f"Error running Kalign for {source_file} and {target_file}: {e}")
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| rmsd = None
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| outputs[name] = {"scTM": TMscore, "scRMSD": rmsd}
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| return outputs
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