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Upload strict640x480-v2/code/merge_clean_strict_lpd.py with huggingface_hub

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strict640x480-v2/code/merge_clean_strict_lpd.py ADDED
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+ """Merge only freshly completed LPD HDF5 trajectories into a new 100-demo corpus."""
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+ from __future__ import annotations
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+
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+ import argparse
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+ import json
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+ from pathlib import Path
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+
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+ import h5py
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+
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+
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+ def main() -> None:
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+ parser = argparse.ArgumentParser()
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+ parser.add_argument("--input", action="append", type=Path, required=True)
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+ parser.add_argument("--output", type=Path, required=True)
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+ args = parser.parse_args()
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+ if args.output.exists():
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+ raise FileExistsError(args.output)
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+
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+ selected: list[tuple[Path, str]] = []
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+ for root in args.input:
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+ for path in sorted(root.rglob("worker_*.h5")):
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+ with h5py.File(path, "r") as source:
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+ selected.extend((path, key) for key in sorted(k for k in source if k.startswith("traj_")))
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+ if len(selected) != 100:
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+ raise AssertionError(f"exactly 100 fresh trajectories required, found {len(selected)}")
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+
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+ args.output.mkdir(parents=True)
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+ provenance: list[dict[str, str]] = []
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+ for shard_index in range(4):
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+ target = args.output / f"worker_{shard_index:02d}.h5"
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+ with h5py.File(target, "w") as destination:
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+ for local_index, (source_path, source_key) in enumerate(selected[shard_index * 25:(shard_index + 1) * 25]):
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+ output_key = f"traj_{local_index:05d}"
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+ with h5py.File(source_path, "r") as source:
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+ destination.copy(source[source_key], output_key)
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+ provenance.append({"output": f"{target.name}:{output_key}", "source": f"{source_path}:{source_key}"})
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+ (args.output / "manifest.json").write_text(json.dumps({
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+ "task": "long_pipeline_delivery", "protocol": "strict640x480_v2",
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+ "episodes": 100, "source_policy": "fresh clean rebuild only", "provenance": provenance,
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+ }, indent=2) + "\n", encoding="utf-8")
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+ print("MERGED_CLEAN_STRICT_LPD_100")
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+
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+
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+ if __name__ == "__main__":
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+ main()