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d789132 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | """Prepare exactly the unique input rows used by the evaluator."""
import argparse
import json
from pathlib import Path
import pandas as pd
def prepare_inputs(frame):
config = json.loads((Path(__file__).parent / 'task.json').read_text())
columns = ['id'] + config['input_columns']
if not set(columns) <= set(frame.columns):
raise ValueError('Missing input columns: ' + ', '.join(columns))
if frame.id.isna().any() or frame.id.duplicated().any():
raise ValueError('Input IDs must be present and unique.')
return frame[columns].drop_duplicates(config['input_columns'], keep='first').reset_index(drop=True)
if __name__ == '__main__':
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument('--input', required=True)
parser.add_argument('--output', required=True)
args = parser.parse_args()
frame = prepare_inputs(pd.read_parquet(args.input))
frame.to_parquet(args.output, index=False)
print(f'Wrote {len(frame)} unique inputs to {args.output}')
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