Created
July 15, 2022 22:34
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| #!/usr/bin/env python | |
| import functools | |
| import argparse | |
| import json | |
| from pathlib import Path | |
| import typing | |
| import csv | |
| def optimal_widths(in_file: typing.IO, delimiter: str): | |
| reader = csv.reader(in_file, delimiter=delimiter) | |
| headers = next(reader) | |
| widths = functools.reduce( | |
| lambda w, r: list(map(max, zip(w, map(len, r)))), | |
| reader, | |
| [0] * len(headers), | |
| ) | |
| return dict(zip(headers, widths)) | |
| DESCRIPTION = """\ | |
| Determine max column widths for CSV. | |
| """ | |
| if __name__ == "__main__": | |
| parser = argparse.ArgumentParser("clean_roll", description=DESCRIPTION) | |
| parser.add_argument("in_path", type=Path) | |
| parser.add_argument("-d", "--delim", default="|") | |
| args = parser.parse_args() | |
| with open(args.in_path, "r") as f: | |
| res = optimal_widths(f, args.delim) | |
| print(json.dumps(res, indent=2)) |
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