43 lines
1.5 KiB
Python
43 lines
1.5 KiB
Python
"""Feed candidate body offsets to the BW codec and compare with sidecar."""
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from __future__ import annotations
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import sys
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from pathlib import Path
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REPO = Path(__file__).resolve().parents[1]
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sys.path.insert(0, str(REPO))
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from minimateplus.waveform_codec import decode_waveform_v2, walk_body, find_data_start
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from analysis_idf.recon import TARGET, TXT, load_sidecar_samples
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def main():
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buf = TARGET.read_bytes()
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sc = load_sidecar_samples(TXT)
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# Sidecar samples in 0.0003 counts (Thor geo LSB).
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sc_tran = [int(round(v / 0.0003)) for v in sc["Tran"][:30]]
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sc_vert = [int(round(v / 0.0003)) for v in sc["Vert"][:30]]
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sc_long = [int(round(v / 0.0003)) for v in sc["Long"][:30]]
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sc_micl = [int(round(v / 1e-6)) for v in sc["MicL"][:30]] # 1 µ unit for mic? Will iterate.
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print(f"sidecar Tran (counts): {sc_tran}")
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print(f"sidecar Vert (counts): {sc_vert}")
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print(f"sidecar Long (counts): {sc_long}")
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print(f"sidecar MicL (×1e-6): {sc_micl}")
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print()
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# Try candidate body start offsets.
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for off in (0x0f1f, 0x1057, 0x11f1, 0x1333, 0x1bde, 0x0d30):
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print(f"=== body @ 0x{off:04x} ===")
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body = buf[off:]
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decoded = decode_waveform_v2(body)
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if not decoded:
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print(" decode_waveform_v2 returned None")
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continue
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for ch in ("Tran", "Vert", "Long", "MicL"):
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arr = decoded.get(ch, [])
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print(f" {ch}[{len(arr)}]: {arr[:20]}")
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print()
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if __name__ == "__main__":
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main()
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