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@@ -0,0 +1,40 @@
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+import argparse
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+import os
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+
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+def main():
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+
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+ parser = argparse.ArgumentParser(description="Train and find best filters to use for model")
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+
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+ parser.add_argument('--log', type=str, help='log file attribute', required=True)
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+ parser.add_argument('--output', type=str, help='output solution choice', required=True)
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+
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+ args = parser.parse_args()
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+
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+ p_log = args.log
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+ p_output = args.output
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+
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+ with open(p_log, 'r') as f:
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+ lines = f.readlines()
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+
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+ for line in lines:
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+ if 'Current Binary solution' in line:
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+ score = float(line.split('SCORE')[-1])
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+
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+ solution = list(map(int, line.split('[')[-1].split(']')[0].split(' ')))
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+
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+ with open(p_output, 'a') as f:
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+
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+ line = ''
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+
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+ for index, v in enumerate(solution):
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+ line += str(v)
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+
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+ if index < len(solution) - 1:
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+ line += ','
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+ line += ';' + str(score)
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+
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+ f.write(line + '\n')
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+
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+
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+if __name__ == "__main__":
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+ main()
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