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Upload read_blocks.py with huggingface_hub

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  1. read_blocks.py +27 -0
read_blocks.py ADDED
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+ #!/usr/bin/env python3
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+ """Minimal reader for tte-cmix-residual-blocks. This is the whole API."""
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+ import json, numpy as np
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+
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+ def load_block(root, bid):
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+ M = json.load(open(f"{root}/manifest.json"))
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+ B = next(b for b in M["blocks"] if b["id"] == bid)
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+ n, d = M["block_bits"], f"{root}/blocks/{bid}"
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+ X = np.fromfile(f"{d}/experts_i8.bin", np.int8).reshape(n, 25) # 25 expert stretches
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+ X = X * np.array(M["int8_scales"], np.float32) # -> stretch (logit) domain
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+ fp = np.fromfile(f"{d}/final_p_u16.bin", np.uint16) # cmix P(1) = fp/65536
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+ fl = np.fromfile(f"{d}/labels_u8.bin", np.uint8)
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+ return dict(
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+ experts=X, # (n,25) float32 stretch
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+ final_p=fp.astype(np.float32) / 65536.0, # (n,) cmix's own P(bit=1)
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+ y=(fl & 1).astype(np.float32), # (n,) the coded bit <-- LABEL
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+ lstm_override=(fl >> 1) & 1, # (n,) cmix's lstm_override flag
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+ bitpos=np.arange(n, dtype=np.int64) % 8, # (n,) 0 = MSB ... 7 = LSB
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+ byteoff=B["byte_start"] + np.arange(n, dtype=np.int64) // 8, # absolute corpus offset
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+ bytes_ctx=np.fromfile(f"{d}/bytes_ctx.bin", np.uint8), # [ctx | block] raw bytes
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+ meta=B, manifest=M,
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+ )
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+
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+ if __name__ == "__main__":
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+ import sys
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+ b = load_block(sys.argv[1] if len(sys.argv) > 1 else ".", sys.argv[2] if len(sys.argv) > 2 else "b000")
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+ print({k: (v.shape if hasattr(v, "shape") else "…") for k, v in b.items()})