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[build] Repack wheel with LZMA compression
Add a post-build step to recompress the wheel using LZMA (ZIP_LZMA), which reduces size by ~35% compared to the default DEFLATE. This brings the wheel under the 2 GiB GitHub release limit.
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.github/workflows/build_wheels_windows.yml

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python setup.py $SKIP_CMAKE bdist_wheel --py-limited-api=cp37 --dist-dir="$PWD\wheelhouse" -v
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shell: pwsh
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- name: Repack wheel with LZMA compression
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run: |
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for whl in wheelhouse/opencv*.whl; do
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src_size=$(stat -c%s "$whl")
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echo "Repacking $(basename "$whl") ($(numfmt --to=iec $src_size))..."
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tmpdir=$(mktemp -d)
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7z x -o"$tmpdir" "$whl" -y > /dev/null
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rm "$whl"
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(cd "$tmpdir" && 7z a -tzip -mm=LZMA -mx=5 "$OLDPWD/$whl" . > /dev/null)
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rm -rf "$tmpdir"
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dst_size=$(stat -c%s "$whl")
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saved=$((src_size - dst_size))
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echo "Done: $(numfmt --to=iec $dst_size) (saved $(numfmt --to=iec $saved))"
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done
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shell: bash
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- name: Save build artifacts to cache
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uses: actions/cache/save@v3
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if: ${{ inputs.save_build_cache && !inputs.rolling_build }}

docs/workflow.md

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---
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## Wheel Compression
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The build workflow repacks the output wheel using LZMA (`ZIP_LZMA`) compression instead of the default DEFLATE. This reduces the wheel size by ~35%, which is necessary to stay under the 2 GiB GitHub release file size limit.
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While the [wheel spec (PEP 427)](https://peps.python.org/pep-0427/) defines wheels as ZIP archives, it does not specify which ZIP compression methods are permitted. In practice, LZMA works because both pip and uv delegate decompression to their respective ZIP libraries (Python's `zipfile` module and Rust's `zip` crate), both of which support LZMA natively. This has been verified with pip (anything compatible the standard [`zipfile` module](https://docs.python.org/3/library/zipfile.html)) and uv (which uses the [`zip` crate](https://crates.io/crates/zip)).
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---
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## Reference: Git Config for Remotes
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After setup, your `.git/config` remote sections should look like:

tools/repack_wheel.py

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"""Repack a wheel file using LZMA compression.
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Recompresses all entries in a .whl (ZIP) file from the default DEFLATE to LZMA,
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which typically reduces size by ~35% for wheels containing large binary files.
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Uses a thread pool to decompress and compress entries in parallel.
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"""
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import argparse
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import os
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import sys
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import threading
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import zipfile
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from concurrent.futures import ThreadPoolExecutor, as_completed
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def repack_wheel(src, dst=None, method=zipfile.ZIP_LZMA, workers=None):
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if dst is None:
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dst = src
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tmp = dst + ".tmp"
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src_size = os.path.getsize(src)
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print(f"Repacking {os.path.basename(src)} ({src_size / 1e9:.2f} GB)...")
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with zipfile.ZipFile(src, "r") as zin:
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items = zin.infolist()
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# Read and recompress all entries in parallel
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results = {}
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def process(item):
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data = zin.read(item.filename)
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# Compress in a temporary single-entry zip in memory to get the
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# compressed bytes, but it's simpler to just let writestr handle it.
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return item, data
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with ThreadPoolExecutor(max_workers=workers) as pool:
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futures = {pool.submit(process, item): item for item in items}
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for future in as_completed(futures):
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item, data = future.result()
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results[item.filename] = (item, data)
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# Write sequentially (ZIP format requires sequential writes)
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with zipfile.ZipFile(tmp, "w", method) as zout:
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for item_info in items:
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item, data = results[item_info.filename]
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item.compress_type = method
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zout.writestr(item, data)
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dst_size = os.path.getsize(tmp)
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saved = src_size - dst_size
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print(
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f"Done: {dst_size / 1e9:.2f} GB "
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f"(saved {saved / 1e6:.1f} MB, {100 * saved / src_size:.1f}%)"
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)
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os.replace(tmp, dst)
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def main():
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument("wheel", help="Path to .whl file to repack")
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parser.add_argument("-o", "--output", help="Output path (default: overwrite input)")
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parser.add_argument(
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"-j", "--jobs", type=int, default=None,
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help="Number of worker threads (default: CPU count)",
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)
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args = parser.parse_args()
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repack_wheel(args.wheel, dst=args.output, workers=args.jobs)
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if __name__ == "__main__":
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main()

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