wyj
9cd933d1f8
Add an opt-in, post-processing limited-response model applied to the finished linear HDR before tone mapping. Each RGB channel is processed independently and isotropically: overflow above E spreads to the eight neighbours with a fixed 9-point stencil, while the rest is absorbed or lost at the image boundary. The synchronous ping-pong update uses a monotonic bounding box and a row-parallel, deterministic reduction; the conservative round bound reserves fp guard rounds inside a 4096 hard limit and fails before touching HDR when exceeded. Expose --sensor-bloom-limit E and --sensor-bloom-transfer e (both required together, default disabled), validate them before expensive initialization, and route every output path through the same hook in write_frame_outputs: raw FITS first, bloom, tone-mapped PNG/PPM, then the mesh overlay. The raw --hdr-output FITS therefore stays pre-bloom. Add a standalone unit test (stencil, boundary loss, cascade reference, symmetry, thread determinism, convergence limits, validation, allocation failure), CLI integration and regression coverage, an isolated sensor-bloom-bench target, and document the model in the design, usage, README, and build docs.
402 lines
21 KiB
Python
402 lines
21 KiB
Python
#!/usr/bin/env python3
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"""Exercise camera defaults/errors and single-frame/movie agreement (CPU builds)."""
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import os
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from pathlib import Path
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import struct
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import subprocess
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import sys
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import tempfile
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import zlib
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def fits_max(path):
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"""Largest positive sample in the renderer's three-plane float FITS."""
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data = path.read_bytes()
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cards, offset = [], 0
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while True:
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block = data[offset:offset + 2880]
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assert len(block) == 2880, f'truncated FITS header: {path}'
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offset += 2880
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cards.extend(block[i:i + 80] for i in range(0, 2880, 80))
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if any(card.startswith(b'END') for card in cards[-36:]):
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break
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values = {}
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for card in cards:
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if card[8:10] == b'= ':
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values[card[:8].decode().strip()] = card[10:30].decode().strip()
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shape = tuple(int(values[f'NAXIS{axis}']) for axis in (1, 2, 3))
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count = shape[0] * shape[1] * shape[2]
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payload = data[offset:offset + count * 4]
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assert len(payload) == count * 4, f'truncated FITS payload: {path}'
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return max(struct.unpack(f'>{count}f', payload))
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BUILD = Path(sys.argv[1] if len(sys.argv) > 1 else 'build/Release').resolve()
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TESTDIR = Path(sys.argv[2]).resolve() if len(sys.argv) > 2 else BUILD
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ENV = dict(os.environ, OMP_NUM_THREADS='4')
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FITSDIFF = Path(__file__).resolve().parent.parent / 'scripts' / 'fits_floatdiff.py'
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PATH_MAX = os.pathconf('/', 'PC_PATH_MAX')
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def run(binary, *args, ok=True, env=ENV):
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result = subprocess.run([str(binary), *map(str, args)], env=env,
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capture_output=True, text=True)
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if (result.returncode == 0) != ok:
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raise AssertionError(f'{binary.name} {args}: {result.returncode}\n{result.stderr}')
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return result
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def png_payload(path, dimensions):
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data = path.read_bytes()
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assert data[:8] == b'\x89PNG\r\n\x1a\n'
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offset, compressed = 8, bytearray()
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while offset < len(data):
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count, kind = struct.unpack_from('>I4s', data, offset)
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payload = data[offset + 8:offset + 8 + count]
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if kind == b'IHDR':
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assert struct.unpack_from('>II', payload) == dimensions
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if kind == b'IDAT':
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compressed.extend(payload)
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offset += count + 12
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return zlib.decompress(compressed)
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def ppm_payload(path, dimensions):
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data = path.read_bytes()
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assert data[:2] == b'P6'
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fields, index = [], 2
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while len(fields) < 3:
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while data[index:index + 1].isspace():
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index += 1
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if data[index:index + 1] == b'#':
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while data[index:index + 1] not in (b'\n', b''):
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index += 1
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continue
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start = index
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while not data[index:index + 1].isspace():
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index += 1
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fields.append(int(data[start:index]))
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index += 1
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assert (fields[0], fields[1]) == dimensions, (fields, dimensions)
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return data[index:index + fields[0] * fields[1] * 3]
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def image_payload(path, dimensions=(64, 48), allow_black=False):
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data = path.read_bytes()
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raw = ppm_payload(path, dimensions) if data[:2] == b'P6' else png_payload(path, dimensions)
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assert raw, f'missing image data: {path}'
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assert allow_black or any(raw), f'empty image: {path}'
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return raw
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def map_vertices(path):
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data = path.read_bytes()
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assert data[:8] == b'GRLENS\x01\x00'
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assert struct.unpack_from('<Q', data, 32)[0] == 1
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vertices, triangles = struct.unpack_from('<QQ', data, 64)
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offset = 80
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values = []
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for _ in range(vertices):
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values.append(struct.unpack_from('<9dI', data, offset))
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offset += 76
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return values, data[offset:offset + triangles * 28]
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with tempfile.TemporaryDirectory(prefix='gr-camera-cli-') as directory:
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tmp = Path(directory)
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for backend in ('minkowski', 'schwarzschild'):
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binary = BUILD / f'{backend}_sky'
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help_text = run(binary, '--help').stdout
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ext = 'png' if '.png' in help_text else 'ppm'
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hdr_available = '--hdr-output' in help_text
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for option in ('--observer-position', '--observer-velocity', '--camera-roll-deg'):
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assert option in help_text
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assert '--tone-map' in help_text and '--tone-map-p' in help_text
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assert '--sensor-bloom-limit' in help_text
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assert '--sensor-bloom-transfer' in help_text
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assert '--observer-inward-speed' not in help_text
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assert '_mesh.' in help_text, help_text
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# The synthetic grid is calibrated for the renderer's default exposure.
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# Using it (rather than the former 0.1) keeps the soft-clip default from
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# saturating the whole frame, so the image comparisons below stay
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# discriminating and the mesh overlay remains visible.
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common = ['--catalog', 'assets/sky_grid_5deg.csv', '--width', 64,
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'--height', 48, '--fov-deg', 80, '--exposure', 1e-3,
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'--coarse-cell-pixels', 8, '--refine-max-level', 0, '--psf-relative-tail', 1e-4]
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def render(name, *options):
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path = tmp / f'{backend}_{name}.{ext}'
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run(binary, *common, '--output', path, *options)
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return image_payload(path)
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# CPU fast-mode CLI smoke test: the FFTW resolve must run and report its
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# one-time setup line.
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if backend == 'minkowski':
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fast_path = tmp / f'minkowski_fast.{ext}'
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fast = run(binary, *common, '--fast-mode', '--fast-supersample', 2,
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'--output', fast_path)
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assert 'Fast FFTW:' in fast.stderr, fast.stderr
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assert image_payload(fast_path)
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# Equivalent independently specified and inferred camera geometry.
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inferred = render('position', '--observer-position', -30, 0, 0)
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explicit = render('explicit', '--observer-position', -30, 0, 0,
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'--look-ra-deg', 0, '--look-dec-deg', 0)
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angled = render('angle', '--look-ra-deg', 0, '--look-dec-deg', 0)
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assert inferred == explicit == angled
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pole = render('pole', '--observer-position', 0, 0, 30)
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assert pole == render('pole_explicit', '--observer-position', 0, 0, 30,
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'--look-ra-deg', 0, '--look-dec-deg', -90)
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default = render('default')
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pos = (0, 0, 0) if backend == 'minkowski' else (0, 0, 30)
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assert default == render('default_explicit', '--observer-position', *pos,
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'--look-ra-deg', 90, '--look-dec-deg', -90)
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assert render('radius', '--observer-radius', 40) == render(
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'radius_explicit', '--observer-radius', 40, '--look-ra-deg', 90,
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'--look-dec-deg', -90)
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for partial, value, ra, dec in [('--look-ra-deg', 37, 37, -90),
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('--look-dec-deg', -23, 90, -23)]:
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assert render('partial', partial, value) == render(
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'complete', '--look-ra-deg', ra, '--look-dec-deg', dec)
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# Tone-map selection: the default must equal explicit softclip p=2, the
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# hardness must be adjustable, and legacy Reinhard must remain available
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# while producing a visibly different image.
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softclip2 = render('tonemap_softclip2', '--tone-map', 'softclip',
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'--tone-map-p', 2)
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assert softclip2 == default
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assert softclip2 == render('tonemap_softclip', '--tone-map', 'softclip')
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assert render('tonemap_p1', '--tone-map', 'softclip', '--tone-map-p', 1)
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assert render('tonemap_reinhard', '--tone-map', 'reinhard') != softclip2
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# --draw-mesh must leave the primary image untouched and only add a
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# mesh-overlay sibling.
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baseline = render('mesh_base')
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mesh_output = tmp / f'{backend}_mesh_overlay.{ext}'
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mesh_run = run(binary, *common, '--draw-mesh', '--output', mesh_output)
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assert image_payload(mesh_output) == baseline
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mesh_sibling = tmp / f'{backend}_mesh_overlay_mesh.{ext}'
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assert mesh_sibling.exists(), mesh_run.stderr
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assert image_payload(mesh_sibling) != baseline
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assert not (tmp / f'{backend}_mesh_overlay_mesh_mesh.{ext}').exists()
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# Only the final filename extension is replaced, dots in directories are
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# not touched.
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dotted_dir = tmp / 'dir.v1'
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dotted_dir.mkdir(exist_ok=True)
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dotted_output = dotted_dir / f'{backend}_image.final.{ext}'
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run(binary, *common, '--draw-mesh', '--output', dotted_output)
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assert dotted_output.exists()
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dotted_mesh = dotted_dir / f'{backend}_image.final_mesh.{ext}'
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assert dotted_mesh.exists(), dotted_output
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assert not (dotted_dir / f'{backend}_image.final.{ext}_mesh.{ext}').exists()
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assert image_payload(dotted_output) == baseline
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# A mesh sibling that overflows PATH_MAX must fail before catalog or
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# spacetime initialization.
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target = PATH_MAX - 3
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long_name = f'{backend}_image.{ext}'
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long_path = '/' + 'd' * (target - len(long_name) - 2) + '/' + long_name
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assert len(long_path) == target
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assert target + len('_mesh') > PATH_MAX
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too_long = run(binary, *common, '--draw-mesh', '--catalog',
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tmp / 'missing_catalog.csv', '--output', long_path,
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ok=False)
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assert 'Mesh overlay output path is too long' in too_long.stderr, too_long.stderr
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assert 'Blackbody backend' not in too_long.stderr, too_long.stderr
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assert 'PSF cache ready' not in too_long.stderr
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errors = [
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(['--observer-position', 1, 2], None),
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(['--observer-position', 1, 2, 'nan'], None),
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(['--observer-velocity', 0, 0, 'inf'], None),
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(['--look-ra-deg', 'nan'], None),
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(['--look-dec-deg', 'inf'], None),
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(['--observer-radius', 'nan'], None),
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(['--observer-radius', 0], None),
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(['--camera-roll-deg', 'nan'], None),
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(['--observer-position', 0, 0, 0], 'Cannot infer'),
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(['--observer-position', 3, 4, 5, '--observer-radius', 30], 'mutually exclusive'),
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(['--observer-velocity', 10, 0, 0], 'not timelike'),
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(['--observer-inward-speed', 0], None),
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(['--observer-track', 'missing.csv', '--observer-velocity', 0, 0, 0], 'cannot be combined'),
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(['--frames-dir', tmp, '--look-ra-deg', 0], 'cannot be combined'),
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(['--lens-map-input', 'missing.grlens', '--camera-roll-deg', 0], 'cannot be combined'),
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(['--tone-map', 'unknown'], None),
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(['--tone-map'], None),
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(['--tone-map-p'], None),
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(['--tone-map-p', 0], None),
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(['--tone-map-p', 0.5], None),
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(['--tone-map-p', 'nan'], None),
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(['--tone-map-p', 'inf'], None),
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(['--tone-map', 'reinhard', '--tone-map-p', 2], 'applies only'),
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(['--sensor-bloom-limit', 1], 'specified together'),
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(['--sensor-bloom-transfer', 0.5], 'specified together'),
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(['--sensor-bloom-limit', 0], None),
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(['--sensor-bloom-limit', -1], None),
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(['--sensor-bloom-limit', 'nan'], None),
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(['--sensor-bloom-limit', 'inf'], None),
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(['--sensor-bloom-limit', 1, '--sensor-bloom-transfer', -0.1], None),
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(['--sensor-bloom-limit', 1, '--sensor-bloom-transfer', 1], None),
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(['--sensor-bloom-limit', 1, '--sensor-bloom-transfer', 1.5], None),
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(['--sensor-bloom-limit', 1, '--sensor-bloom-transfer', 'nan'], None),
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(['--sensor-bloom-limit', 1, '--sensor-bloom-transfer', 'inf'], None),
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]
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if backend == 'schwarzschild':
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errors += [(['--observer-position', 1.5, 0, 0, '--observer-velocity', -0.5, 0, 0], 'capture cutoff'),
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(['--observer-position', 1.75, 0, 0], 'not timelike')]
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render('inside', '--observer-position', 1.75, 0, 0,
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'--observer-velocity', -0.5, 0, 0, '--look-ra-deg', 0, '--look-dec-deg', 0)
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for options, message in errors:
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missing_catalog = tmp / 'should_not_be_created.csv'
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result = run(binary, '--catalog', missing_catalog, *options, ok=False)
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if message:
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assert message in result.stderr, result.stderr
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assert not missing_catalog.exists(), result.stderr
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assert 'PSF cache ready' not in result.stderr
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track = tmp / f'{backend}.csv'
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run(TESTDIR / f'test_observer_{backend}', track)
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single_map, movie_map = tmp / 'single.grlens', tmp / 'movie.grlens'
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single = render('moving', '--observer-position', 3, -4, 5,
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'--observer-velocity', 0.2, -0.1, 0.3,
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'--look-ra-deg', 37, '--look-dec-deg', -23,
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'--camera-roll-deg', 19, '--lens-map-output', single_map)
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run(binary, *common, '--observer-track', track, '--frames-dir', tmp,
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'--frames-prefix', backend, '--duration', 0, '--fps', 1,
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'--lens-map-output', movie_map)
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movie = image_payload(tmp / f'{backend}_000000.{ext}')
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assert single == movie, f'{backend}: single/movie image mismatch'
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a, ta = map_vertices(single_map)
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b, tb = map_vertices(movie_map)
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assert len(a) == len(b) and ta == tb
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max_error = 0
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for x, y in zip(a, b):
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assert x[-1] == y[-1], 'ray classification mismatch'
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max_error = max(max_error, *(abs(v - w) for v, w in zip(x[:-1], y[:-1])))
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assert max_error < 1e-9, max_error
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# Movie frames keep the clean primary image and gain correctly named
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# mesh siblings; never "frame_000000.png_mesh.png".
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movie_mesh_dir = tmp / f'{backend}_movie_mesh'
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movie_mesh_dir.mkdir()
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run(binary, *common, '--observer-track', track, '--frames-dir',
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movie_mesh_dir, '--frames-prefix', 'frame', '--duration', 0,
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'--fps', 1, '--draw-mesh')
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assert image_payload(movie_mesh_dir / f'frame_000000.{ext}') == movie
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assert (movie_mesh_dir / f'frame_000000_mesh.{ext}').exists()
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assert not (movie_mesh_dir / f'frame_000000.{ext}_mesh.{ext}').exists()
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# A map import must still work without evaluating a camera/metric, and
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# must follow the same clean-main plus mesh-sibling rule.
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assert single == render('import', '--lens-map-input', single_map)
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imported_mesh = tmp / f'{backend}_import_mesh.{ext}'
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run(binary, *common, '--lens-map-input', single_map, '--draw-mesh',
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'--output', imported_mesh)
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assert image_payload(imported_mesh) == single
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assert (tmp / f'{backend}_import_mesh_mesh.{ext}').exists()
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if hdr_available:
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# The clean HDR FITS payload and primary image are bit-identical
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# with and without --draw-mesh; only the mesh sibling differs.
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hdr_output = tmp / f'{backend}_hdr.{ext}'
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hdr_mesh_output = tmp / f'{backend}_hdr_mesh.{ext}'
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run(binary, *common, '--hdr-output', '--output', hdr_output)
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run(binary, *common, '--hdr-output', '--draw-mesh', '--output',
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hdr_mesh_output)
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base_fits = tmp / f'{backend}_hdr_HDR.fits'
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mesh_fits = tmp / f'{backend}_hdr_mesh_HDR.fits'
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assert base_fits.exists() and mesh_fits.exists()
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diff = subprocess.run([sys.executable, str(FITSDIFF), str(base_fits),
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str(mesh_fits)], capture_output=True, text=True)
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assert diff.returncode == 0, diff.stdout + diff.stderr
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assert 'mismatches=0 max_abs=0 max_rel=0' in diff.stdout, diff.stdout
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assert image_payload(hdr_output) == baseline
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assert image_payload(hdr_mesh_output) == baseline
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assert image_payload(tmp / f'{backend}_hdr_mesh_mesh.{ext}') != baseline
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# Sensor-bloom integration runs in every build. With linear HDR the
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# response limit is derived from the rendered peak; without it the
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# fixture's calibrated exposure puts the display shoulder near 1.0,
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# which is guaranteed to saturate this scene, so the default ENABLE_HDR=0
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# suite still exercises the output-pipeline hook. The limit is placed
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# well below the peak so the clamped region falls in the tone map's
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# sensitive range and the display comparison stays discriminating.
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if hdr_available:
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base_peak = fits_max(base_fits)
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assert base_peak > 0.0
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bloom_limit = base_peak / 100.0
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else:
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bloom_limit = 1.0
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hdr_args = ['--hdr-output'] if hdr_available else []
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bloom_output = tmp / f'{backend}_bloom.{ext}'
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bloom_run = run(binary, *common, *hdr_args,
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'--sensor-bloom-limit', bloom_limit,
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'--sensor-bloom-transfer', 0.5,
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'--output', bloom_output)
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assert image_payload(bloom_output) != baseline
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assert 'Sensor bloom:' in bloom_run.stderr, bloom_run.stderr
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report = bloom_run.stderr.split('Sensor bloom:', 1)[1].splitlines()[0]
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fields = dict(token.split('=', 1) for token in report.split() if '=' in token)
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assert int(fields['saturated']) > 0, report
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assert int(fields['iterations'].split('/')[0]) >= 1, report
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assert float(fields['peak']) >= bloom_limit, report
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if hdr_available:
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# The raw FITS is written before the model runs, so it stays
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# byte-identical to the baseline even though the display changes.
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bloom_fits = tmp / f'{backend}_bloom_HDR.fits'
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assert bloom_fits.exists(), bloom_run.stderr
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diff = subprocess.run([sys.executable, str(FITSDIFF), str(base_fits),
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str(bloom_fits)], capture_output=True, text=True)
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assert diff.returncode == 0, diff.stdout + diff.stderr
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assert 'mismatches=0 max_abs=0 max_rel=0' in diff.stdout, diff.stdout
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# The mesh overlay is drawn on the already-bloomed frame, so the primary
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# image is unchanged by --draw-mesh and the diagnostic lines do not feed
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# back into the overflow model.
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bloom_mesh_output = tmp / f'{backend}_bloom_mesh.{ext}'
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run(binary, *common, *hdr_args, '--sensor-bloom-limit', bloom_limit,
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'--sensor-bloom-transfer', 0.5, '--draw-mesh',
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'--output', bloom_mesh_output)
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assert image_payload(bloom_mesh_output) == image_payload(bloom_output)
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bloom_mesh_sibling = tmp / f'{backend}_bloom_mesh_mesh.{ext}'
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assert bloom_mesh_sibling.exists()
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assert image_payload(bloom_mesh_sibling) != image_payload(bloom_output)
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if hdr_available:
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bloom_mesh_fits = tmp / f'{backend}_bloom_mesh_HDR.fits'
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diff = subprocess.run([sys.executable, str(FITSDIFF), str(base_fits),
|
|
str(bloom_mesh_fits)], capture_output=True, text=True)
|
|
assert diff.returncode == 0, diff.stdout + diff.stderr
|
|
assert 'mismatches=0 max_abs=0 max_rel=0' in diff.stdout, diff.stdout
|
|
|
|
if backend == 'schwarzschild':
|
|
# Two inward-looking free-fall samples at r=6.2696 and r=3.1593.
|
|
# At 16:9 the latter frame finishes in generation 0, while the
|
|
# former still needs refinement. Finishing the empty batch used
|
|
# to abort the whole movie in generation 1.
|
|
mixed = Path(__file__).parent / 'fixtures/schwarzschild_mixed_refinement.csv'
|
|
parallel_map = tmp / 'mixed-parallel.grlens'
|
|
result = run(binary, *common, '--height', 36, '--fov-deg', 60,
|
|
'--refine-max-level', 3, '--observer-track', mixed,
|
|
'--movie-track-samples', '--frames-dir', tmp,
|
|
'--frames-prefix', 'mixed', '--verbose',
|
|
'--lens-map-output', parallel_map)
|
|
assert 'Ray trace generation 1: frame 0 added' in result.stderr
|
|
assert 'Ray trace generation 0: frame 1 added' not in result.stderr
|
|
for frame in range(2):
|
|
image_payload(tmp / f'mixed_{frame:06d}.{ext}',
|
|
dimensions=(64, 36), allow_black=True)
|
|
# Thread scheduling must preserve endpoints, frame/sample IDs and
|
|
# the resulting adaptive mesh across the entire slab sweep.
|
|
for threads in (1, 16):
|
|
comparison_map = tmp / f'mixed-{threads}-threads.grlens'
|
|
run(binary, *common, '--height', 36, '--fov-deg', 60,
|
|
'--refine-max-level', 3, '--observer-track', mixed,
|
|
'--movie-track-samples', '--frames-dir', tmp,
|
|
'--frames-prefix', f'mixed-{threads}-threads',
|
|
'--lens-map-output', comparison_map,
|
|
env=dict(ENV, OMP_NUM_THREADS=str(threads)))
|
|
assert parallel_map.read_bytes() == comparison_map.read_bytes(), \
|
|
f'movie lens map changed with {threads} threads'
|
|
print('schwarzschild: movie lens map identical with 1, 4 and 16 threads', flush=True)
|
|
print(f'{backend}: CLI checks passed; single/movie image identical, map max error {max_error:.3g}', flush=True)
|