Download model/PXDesignBench/pxdbench/metrics/consistency.py from OneScience-Group/PXDesign: direct link, hf CLI and curl.
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https://huggingface.co/OneScience-Group/PXDesign/resolve/main/model/PXDesignBench/pxdbench/metrics/consistency.py
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1.92 kB
| # Copyright 2025 ByteDance and/or its affiliates. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| import os | |
| from pxdbench.metrics import Kalign, tmalign | |
| def self_consistency(inputs: dict): | |
| """ | |
| Calculate self-consistency metrics (scTM and scRMSD) for a set of input files. | |
| Args: | |
| inputs (dict): A dictionary where keys are names and values are dictionaries | |
| containing "source_file" and "target_file" keys. | |
| Returns: | |
| dict: A dictionary containing the calculated scTM and scRMSD metrics for each input. | |
| """ | |
| outputs = {} | |
| for name, item in inputs.items(): | |
| source_file = item["source_file"] | |
| target_file = item["target_file"] | |
| TMscore, rmsd = None, None | |
| if not os.path.exists(target_file): | |
| print(f"{target_file} does not exist!") | |
| outputs[name] = {"scTM": None, "scRMSD": None} | |
| continue | |
| # Run TMalign | |
| TMscore = tmalign.get_tm_score(source_file, target_file) | |
| # Run Kalign.py | |
| try: | |
| rmsd = Kalign.align_and_calculate_rmsd(source_file, target_file) | |
| rmsd = round(rmsd, 3) | |
| except Exception as e: | |
| print(f"Error running Kalign for {source_file} and {target_file}: {e}") | |
| rmsd = None | |
| outputs[name] = {"scTM": TMscore, "scRMSD": rmsd} | |
| return outputs | |