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Laurent
2026-09-18 19:48:19 +02:00
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#!/usr/bin/env python3
"""
Extract the first N lines from a huge file without loading it into RAM.
Works because Python file objects are iterators: reading line-by-line
only ever keeps one line (plus a small internal read-ahead buffer) in
memory at a time, regardless of the file's total size.
Usage:
python extract_lines.py input.txt output.txt --lines 500
# Start from a specific line (e.g. skip a header, or resume mid-file)
python extract_lines.py input.txt output.txt --lines 500 --start 1000
"""
import argparse
from itertools import islice
def extract_lines(input_path: str, output_path: str, start: int, count: int) -> int:
written = 0
with open(input_path, "r", encoding="utf-8", errors="replace", buffering=1024 * 1024) as fin, \
open(output_path, "w", encoding="utf-8") as fout:
for line in islice(fin, start, start + count):
fout.write(line)
written += 1
return written
def main():
parser = argparse.ArgumentParser(description="Extract a slice of lines from a huge file, streaming (low RAM).")
parser.add_argument("input", help="Path to the big input file")
parser.add_argument("output", help="Path to write the extracted lines to")
parser.add_argument("--lines", type=int, default=500, help="Number of lines to extract (default: 500)")
parser.add_argument("--start", type=int, default=0, help="Line number to start at, 0-indexed (default: 0)")
args = parser.parse_args()
n = extract_lines(args.input, args.output, args.start, args.lines)
print(f"Wrote {n} lines (lines {args.start}-{args.start + n - 1}) to {args.output}")
if __name__ == "__main__":
main()