12d516729e
ob_sample.py pairs a live read of a guest VA with a screenshot and a crop of the HUD counter, and reads the word again AFTER the shot so a sample whose two reads disagree can be thrown away instead of believed -- that race is what left the first three-snapshot filter with zero survivors. ob_session.sh is fly_session.sh plus that sampler, because the evidence this needs is a transition, and an unattended craft is dead in about a minute. Its header records that launch_mission.sh does not yet finish unattended on restored state, so nobody discovers that halfway through a boot. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01PMRJjbxLqZtsb5Vb7KunPE
80 lines
2.7 KiB
Python
Executable File
80 lines
2.7 KiB
Python
Executable File
#!/usr/bin/env python3
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"""Sample a candidate `REMAINING OB` address paired with a HUD screenshot.
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`structures/mission-objective-counter.md` found the counter at a guest VA in one
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Stage 02 run and left cross-run stability untested. Testing it needs the RAM word
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and the HUD digits from the SAME moment, which is the trap that already cost one
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pass: the value moves between the memory read and the screenshot that is supposed
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to confirm it. So every sample reads the word, takes the shot, and reads the word
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AGAIN — a row whose two reads disagree is thrown away rather than believed.
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The HUD counter is cropped out of each shot (the region is fixed: the plate sits
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in the top-right, x >= 0.72 W, 0.32 H .. 0.45 H) so the digits can be read without
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squinting at a 1280x720 frame.
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Usage: ob_sample.py <va> <out.csv> <shot-dir> <tag> [interval_s] [count]
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"""
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import os
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import struct
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import subprocess
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import sys
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import time
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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import gmem # noqa: E402
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CROP = (0.72, 0.32, 1.0, 0.45) # HUD "REMAINING OB" plate, fractions of W/H
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def read_word(path, off):
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try:
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with open(path, "rb") as f:
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f.seek(off)
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b = f.read(4)
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return struct.unpack(">I", b)[0] if len(b) == 4 else None
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except OSError:
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return None
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def crop_hud(shot, out):
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try:
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from PIL import Image
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except ImportError:
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return False
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im = Image.open(shot)
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w, h = im.size
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c = im.crop((int(CROP[0] * w), int(CROP[1] * h), int(CROP[2] * w), int(CROP[3] * h)))
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c.resize((c.width * 2, c.height * 2)).save(out)
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return True
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def main():
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va = int(sys.argv[1], 0)
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out_csv, shot_dir, tag = sys.argv[2], sys.argv[3], sys.argv[4]
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interval = float(sys.argv[5]) if len(sys.argv) > 5 else 30.0
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count = int(sys.argv[6]) if len(sys.argv) > 6 else 8
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off = gmem.va_to_off(va)
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mem = gmem.mem_path()
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os.makedirs(shot_dir, exist_ok=True)
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t0 = time.time()
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with open(out_csv, "w") as f:
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f.write("t_s,ram_before,ram_after,stable,shot\n")
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for i in range(count):
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before = read_word(mem, off)
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shot = os.path.join(shot_dir, f"{tag}-{i:02d}.png")
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subprocess.run(["screenshot", shot], stdout=subprocess.DEVNULL,
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stderr=subprocess.DEVNULL)
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after = read_word(mem, off)
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crop_hud(shot, os.path.join(shot_dir, f"{tag}-{i:02d}-ob.png"))
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row = (f"{time.time()-t0:.1f},{before},{after},"
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f"{int(before is not None and before == after)},{shot}")
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f.write(row + "\n")
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f.flush()
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print(row, flush=True)
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time.sleep(max(0.0, interval - (time.time() - t0) % interval))
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if __name__ == "__main__":
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main()
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