wyj
7f5ec1a488
Capture prepared events through a test-only producer consumer and measure serial and indexed parallel generation independently. Compare the production atomic kernel with bounded pixel-owned tile reductions while preserving double HDR, cache support, and direct fallback ordering. Validate captured inputs, edge and multichunk fixtures, CPU/HIP renderer regressions, and 45 isolated final replays. Keep the production HIP algorithm unchanged because gains depend on event distribution.
46 lines
2.3 KiB
Python
46 lines
2.3 KiB
Python
#!/usr/bin/env python3
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"""Bounded diagnostic accounting, output refusal, and parallel checksum checks."""
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from pathlib import Path
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import os
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import re
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import subprocess
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import sys
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import tempfile
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renderer=Path(sys.argv[1]).resolve()
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capture=Path(sys.argv[2]).resolve()
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repo=Path(__file__).resolve().parents[1]
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env=dict(os.environ,OMP_NUM_THREADS='4')
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def call(command, success=True):
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print('RUN',command,flush=True)
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p=subprocess.run(list(map(str,command)),env=env,text=True,stdout=subprocess.PIPE,stderr=subprocess.STDOUT,timeout=30)
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print(p.stdout,flush=True)
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assert (p.returncode==0)==success,(p.returncode,p.stdout)
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return p.stdout
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with tempfile.TemporaryDirectory(prefix='gr-capture-test-') as temp:
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temp=Path(temp);lens=temp/'mixed.grlens';events=temp/'mixed.events'
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catalog=repo/'tests/data/hip_psf_mixed_catalog.csv'
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call([renderer,'--catalog',catalog,'--width','96','--height','64','--fov-deg','30',
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'--look-ra-deg','2','--look-dec-deg','1','--coarse-cell-pixels','16','--refine-max-level','0',
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'--exposure','1000','--lens-map-output',lens,'--output',temp/'reference.png'])
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base=[capture,lens,catalog,'0','48','65536']
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for min_y,expected in [('0',(2,1,0)),('1e30',(0,0,3))]:
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summaries=[]
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for mode in ['--diagnose','--diagnose-parallel','--diagnose-indexed-serial','--diagnose-indexed']:
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text=call(base+[mode,'1000','1',min_y])
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counts=tuple(int(re.search(key+r'=(\d+)',text)[1]) for key in ['cached','direct','discarded'])
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assert counts==expected,(counts,expected)
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assert 'no HDR' in text
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summaries.append(re.search(r'checksum=([0-9a-f]+)',text)[1])
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assert len(set(summaries))==1,summaries
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call(base+[events,'1000','1','0'])
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lines=events.read_text().splitlines()
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assert lines[0].split()[3]=='2' and len(lines)==3
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call(base+[events,'1000','1','0'],False) # exclusive creation
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call([capture,lens,catalog,'0','49','1','--diagnose','1000'],False)
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call([capture,lens,catalog,'0','48','65537','--diagnose','1000'],False)
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capped=temp/'capped.events'
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call([capture,lens,catalog,'0','48','1',capped,'1000'])
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assert len(capped.read_text().splitlines())==2
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print('PASS: capture bounds, classifications, exclusive output, serial/parallel checksum')
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