raptorreplica
a073f73f3a
Add rational atlas cells and bounded authenticated Original-detail retention with standalone synthetic regression checks. Rebuild Linux and Windows runtimes; validate all 5384 supplied frames and preserve three exact 1080p regression controls.
144 lines
7.7 KiB
Python
144 lines
7.7 KiB
Python
"""Strict optional HD presentation metadata; source fidelity requires peer review."""
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import struct
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from fractions import Fraction
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FRAME_KEYS = {"frame", "file", "logical_width", "logical_height", "origin",
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"source_sha256", "crop", "atlas_grid", "preserve_reserved_coverage", "native_nearest_cues", "original_detail_cells"}
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def validate_atlas_grid(frame):
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grid = frame.get("atlas_grid")
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if grid is None:
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return None
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if type(grid) is not dict or set(grid) != {"columns", "rows", "column", "row"}:
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raise ValueError("atlas_grid needs exactly columns/rows/column/row")
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if any(type(value) is not int or not 0 <= value < 2**32 for value in grid.values()):
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raise ValueError("atlas_grid fields must be u32 integers")
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if frame.get("crop") is not None:
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raise ValueError("atlas_grid and crop are mutually exclusive")
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if grid["columns"] == 0 or grid["rows"] == 0 or grid["columns"] * grid["rows"] > 16384:
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raise ValueError("atlas_grid axes or cell count invalid")
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if grid["column"] >= grid["columns"] or grid["row"] >= grid["rows"]:
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raise ValueError("atlas_grid cell is outside its declared axes")
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return grid
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def atlas_grid_geometry(frame, width, height):
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"""Exact equal bounds and a bounded, uniform resident2x–4x canvas."""
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grid = validate_atlas_grid(frame)
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if grid is None:
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return None
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if any(type(value) is not int or value <= 0 for value in [width, height]):
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raise ValueError("invalid atlas dimensions")
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lw, lh = frame["logical_width"], frame["logical_height"]
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if any(type(value) is not int or not 0 < value < 2**32 for value in [lw, lh]):
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raise ValueError("invalid logical dimensions")
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cols, rows = grid["columns"], grid["rows"]
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if width * lh * rows != height * lw * cols:
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raise ValueError("rational atlas cell aspect differs from original canvas")
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if width < 2 * cols * lw or height < 2 * rows * lh:
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raise ValueError("rational atlas cell needs at least twice the logical resolution")
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factor = min(width // (cols * lw), height // (rows * lh), 4)
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left, right = Fraction(width * grid["column"], cols), Fraction(width * (grid["column"] + 1), cols)
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top, bottom = Fraction(height * grid["row"], rows), Fraction(height * (grid["row"] + 1), rows)
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floor = lambda value: value.numerator // value.denominator
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ceil = lambda value: -(-value.numerator // value.denominator)
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return dict(bounds=(left, top, right, bottom),
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pixels=(floor(left), floor(top), ceil(right), ceil(bottom)),
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resident=(lw * factor, lh * factor))
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LEGACY_RETAINED_POLICY = "retained-original-details-v2-painted0255"
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EXTENDED_RETAINED_POLICY = "retained-original-details-v3-max128-quarter-painted0255"
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def retained_review_version_ok(version, retained_details):
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"""The old declaration cannot authorize a new longer list; old bytes stay valid."""
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return version == EXTENDED_RETAINED_POLICY or (version == LEGACY_RETAINED_POLICY
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and all(len(cells) <= 64 for cells in retained_details.values()))
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def _indices(payload):
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if len(payload) < 20:
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raise ValueError("truncated original picture")
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kind, _, _, width, height = struct.unpack_from("<iiiii", payload)
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if not (1 <= width <= 4096 and 1 <= height <= 4096 and width * height <= 1_048_576):
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raise ValueError("invalid original canvas")
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if kind == 1:
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if len(payload) < 20 + width * height:
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raise ValueError("truncated original raw picture")
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return width, height, payload[20:20 + width * height]
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if kind != 0:
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raise ValueError("unsupported original picture type")
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out = [256] * (width * height)
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off = 20
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runs = 0
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while True:
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if off + 16 > len(payload):
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raise ValueError("truncated original picture span")
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x, y, dest, length = struct.unpack_from("<iiii", payload, off)
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off += 16
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if dest == -1:
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break
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if not (x >= 0 and 0 <= y < height and length > 0 and x + length <= width
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and off + length <= len(payload)):
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raise ValueError("invalid original picture span")
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start = y * width + x
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out[start:start + length] = payload[off:off + length]
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off += length
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runs += 1
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if runs > len(out):
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raise ValueError("too many original picture spans")
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return width, height, out
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def validate_frame_policy(frame, source_payload=None):
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if set(frame) - FRAME_KEYS:
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raise ValueError("unknown HD frame fields")
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validate_atlas_grid(frame)
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if type(frame.get("preserve_reserved_coverage", False)) is not bool:
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raise ValueError("preserve_reserved_coverage must be a boolean")
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cues = frame.get("native_nearest_cues", [])
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if not isinstance(cues, list) or len(cues) > 64:
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raise ValueError("native_nearest_cues must contain at most64 cells")
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width, height = frame["logical_width"], frame["logical_height"]
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if type(width) is not int or type(height) is not int or not (0 < width < 2**32 and 0 < height < 2**32):
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raise ValueError("logical dimensions must be nonzero u32")
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previous = None
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for cue in cues:
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if not isinstance(cue, list) or len(cue) != 2 or any(type(n) is not int or not 0 <= n < 2**32 for n in cue):
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raise ValueError("native nearest cue must be a pair of u32 coordinates")
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if cue[0] >= width or cue[1] >= height:
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raise ValueError("native nearest cue outside original logical canvas")
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key = tuple(cue)
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if previous is not None and key <= previous:
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raise ValueError("native nearest cues must be sorted and unique")
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previous = key
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if source_payload is not None and cues:
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source_width, source_height, indices = _indices(source_payload)
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if (source_width, source_height) != (width, height):
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raise ValueError("logical canvas differs from original")
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if any(index == 256 for index in indices):
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raise ValueError("native nearest cues require an opaque original canvas")
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if any(indices[y * width + x] >= 240 for x, y in cues):
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raise ValueError("native nearest cue must be an ordinary original source cell")
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details = frame.get("original_detail_cells", [])
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if type(details) is not list or len(details) > 128:
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raise ValueError("original_detail_cells must contain at most128 Source cells")
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previous = None
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for cell in details:
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if type(cell) is not list or len(cell) != 2 or any(type(n) is not int or not 0 <= n < 2**32 for n in cell):
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raise ValueError("Original detail must be a pair of u32 coordinates")
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key = tuple(cell)
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if cell[0] >= width or cell[1] >= height or (previous is not None and key <= previous):
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raise ValueError("Original details must be inbounds sorted unique cells")
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if cell in cues:
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raise ValueError("Original detail and PNG-nearest policies may not overlap")
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previous = key
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if source_payload is not None and details:
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source_width, source_height, indices = _indices(source_payload)
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if (source_width, source_height) != (width, height):
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raise ValueError("Original detail canvas differs from Source")
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if any(not 0 <= indices[y * width + x] < 256 for x, y in details):
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raise ValueError("Original details select painted Source indices0–255 only")
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# Metadata-only preparation can check structure, not claim Source density.
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# Runtime, audit and extended registrar approval supply actual payloads.
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if len(details) > 64 and len(details) * 4 > sum(0 <= p <= 255 for p in indices):
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raise ValueError("65..128 Original details may retain at most one quarter of painted Source")
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