unlinken of already processed training files (seed dependent audio augmentation)
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@ -12,6 +12,8 @@ config_file_name = 'config.ini'
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if __name__ == '__main__':
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for model_path in outpath.iterdir():
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if not model_path.is_dir():
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continue
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out_file = (model_path / metric_file_name)
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for paramter_configuration in model_path.iterdir():
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uar_scores = defaultdict(list)
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@ -46,5 +48,8 @@ if __name__ == '__main__':
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writer = csv.DictWriter(f, delimiter=',', lineterminator='\n', fieldnames=headers)
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if not file_existed:
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writer.writeheader() # file doesn't exist yet, write a header
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for row_idx in range(len(uar_scores['mean'])):
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writer.writerow({key: uar_scores[key][row_idx] for key in headers})
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try:
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for row_idx in range(len(uar_scores['mean'])):
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writer.writerow({key: uar_scores[key][row_idx] for key in headers})
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except IndexError:
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print('could not read: ')
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