FAILURE MAP
← Case archive

FA-52536 / Raster memory layout / Open access

Pixel Interleaved Sample Banks: Sample-bank allocation ignores edge padding and bank tags · case 01

The returned physical layout descriptor disagrees with the declared buffer mapping at allocation_end.

Verified by executionVariant 1 · 6 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

Sample-bank allocation ignores edge padding and bank tags The faulty expression is p["base"]+p["h"]*p["w"]*4*p["b"].

THE FAILURE

Sample-bank allocation ignores edge padding and bank tags The faulty expression is p["base"]+p["h"]*p["w"]*4*p["b"].

Unsuccessful approach: The attempted repair uses p["base"]+p["h"]*bank_columns*8*p["b"] and still violates the layout contract.

Case contract

A toy 4-sample image stores samples in lane order [2,0,3,1]. Two adjacent pixels share a bank record with a three-byte bank tag; rows contain complete banks even for odd width. Return the named intermediate layout descriptor and final address fields; all quantities are integer byte offsets unless explicitly stated.

Why this case matters

Offline raster resource, upload, readback, and storage-layout regression model.

1 / The failure

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(p):
    p = dict(p)
    bank_columns = (p["w"]+1)//2
    lane = [1,3,0,2][p["sample"]]
    pixel_lane = p["x"]%2
    bank_index = p["y"]*bank_columns+p["x"]//2
    bank_pitch = 8*p["b"]+3
    bank_start = p["base"]+bank_index*bank_pitch
    sample_slot = pixel_lane*4+lane
    address = bank_start+3+sample_slot*p["b"]
    valid_lanes = 4*min(2,p["w"]-2*(p["x"]//2))
    allocation_end = p["base"]+p["h"]*p["w"]*4*p["b"]
    return {'bank_columns': bank_columns, 'lane': lane, 'pixel_lane': pixel_lane, 'bank_index': bank_index, 'bank_pitch': bank_pitch, 'bank_start': bank_start, 'sample_slot': sample_slot, 'address': address, 'valid_lanes': valid_lanes, 'allocation_end': allocation_end}
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
cases = {1: [({'w': 1, 'h': 1, 'x': 0, 'y': 0, 'b': 2, 'base': 11, 'sample': 0}, {'bank_columns': 1, 'lane': 1, 'pixel_lane': 0, 'bank_index': 0, 'bank_pitch': 19, 'bank_start': 11, 'sample_slot': 1, 'address': 16, 'valid_lanes': 4, 'allocation_end': 30}), ({'w': 6, 'h': 4, 'x': 1, 'y': 2, 'b': 2, 'base': 11, 'sample': 1}, {'bank_columns': 3, 'lane': 3, 'pixel_lane': 1, 'bank_index': 6, 'bank_pitch': 19, 'bank_start': 125, 'sample_slot': 7, 'address': 142, 'valid_lanes': 8, 'allocation_end': 239}), ({'w': 10, 'h': 8, 'x': 8, 'y': 6, 'b': 2, 'base': 11, 'sample': 2}, {'bank_columns': 5, 'lane': 0, 'pixel_lane': 0, 'bank_index': 34, 'bank_pitch': 19, 'bank_start': 657, 'sample_slot': 0, 'address': 660, 'valid_lanes': 8, 'allocation_end': 771}), ({'w': 16, 'h': 8, 'x': 15, 'y': 7, 'b': 2, 'base': 11, 'sample': 3}, {'bank_columns': 8, 'lane': 2, 'pixel_lane': 1, 'bank_index': 63, 'bank_pitch': 19, 'bank_start': 1208, 'sample_slot': 6, 'address': 1223, 'valid_lanes': 8, 'allocation_end': 1227}), ({'w': 18, 'h': 10, 'x': 16, 'y': 8, 'b': 2, 'base': 11, 'sample': 0}, {'bank_columns': 9, 'lane': 1, 'pixel_lane': 0, 'bank_index': 80, 'bank_pitch': 19, 'bank_start': 1531, 'sample_slot': 1, 'address': 1536, 'valid_lanes': 8, 'allocation_end': 1721}), ({'w': 7, 'h': 13, 'x': 3, 'y': 12, 'b': 2, 'base': 11, 'sample': 1}, {'bank_columns': 4, 'lane': 3, 'pixel_lane': 1, 'bank_index': 49, 'bank_pitch': 19, 'bank_start': 942, 'sample_slot': 7, 'address': 959, 'valid_lanes': 8, 'allocation_end': 999})], 2: [({'w': 1, 'h': 1, 'x': 0, 'y': 0, 'b': 3, 'base': 22, 'sample': 0}, {'bank_columns': 1, 'lane': 1, 'pixel_lane': 0, 'bank_index': 0, 'bank_pitch': 27, 'bank_start': 22, 'sample_slot': 1, 'address': 28, 'valid_lanes': 4, 'allocation_end': 49}), ({'w': 7, 'h': 5, 'x': 1, 'y': 2, 'b': 3, 'base': 22, 'sample': 1}, {'bank_columns': 4, 'lane': 3, 'pixel_lane': 1, 'bank_index': 8, 'bank_pitch': 27, 'bank_start': 238, 'sample_slot': 7, 'address': 262, 'valid_lanes': 8, 'allocation_end': 562}), ({'w': 11, 'h': 9, 'x': 8, 'y': 6, 'b': 3, 'base': 22, 'sample': 2}, {'bank_columns': 6, 'lane': 0, 'pixel_lane': 0, 'bank_index': 40, 'bank_pitch': 27, 'bank_start': 1102, 'sample_slot': 0, 'address': 1105, 'valid_lanes': 8, 'allocation_end': 1480}), ({'w': 16, 'h': 8, 'x': 15, 'y': 7, 'b': 3, 'base': 22, 'sample': 3}, {'bank_columns': 8, 'lane': 2, 'pixel_lane': 1, 'bank_index': 63, 'bank_pitch': 27, 'bank_start': 1723, 'sample_slot': 6, 'address': 1744, 'valid_lanes': 8, 'allocation_end': 1750}), ({'w': 19, 'h': 11, 'x': 16, 'y': 8, 'b': 3, 'base': 22, 'sample': 0}, {'bank_columns': 10, 'lane': 1, 'pixel_lane': 0, 'bank_index': 88, 'bank_pitch': 27, 'bank_start': 2398, 'sample_slot': 1, 'address': 2404, 'valid_lanes': 8, 'allocation_end': 2992}), ({'w': 7, 'h': 13, 'x': 3, 'y': 12, 'b': 3, 'base': 22, 'sample': 1}, {'bank_columns': 4, 'lane': 3, 'pixel_lane': 1, 'bank_index': 49, 'bank_pitch': 27, 'bank_start': 1345, 'sample_slot': 7, 'address': 1369, 'valid_lanes': 8, 'allocation_end': 1426})], 3: [({'w': 1, 'h': 1, 'x': 0, 'y': 0, 'b': 4, 'base': 33, 'sample': 0}, {'bank_columns': 1, 'lane': 1, 'pixel_lane': 0, 'bank_index': 0, 'bank_pitch': 35, 'bank_start': 33, 'sample_slot': 1, 'address': 40, 'valid_lanes': 4, 'allocation_end': 68}), ({'w': 8, 'h': 6, 'x': 1, 'y': 2, 'b': 4, 'base': 33, 'sample': 1}, {'bank_columns': 4, 'lane': 3, 'pixel_lane': 1, 'bank_index': 8, 'bank_pitch': 35, 'bank_start': 313, 'sample_slot': 7, 'address': 344, 'valid_lanes': 8, 'allocation_end': 873}), ({'w': 12, 'h': 10, 'x': 8, 'y': 6, 'b': 4, 'base': 33, 'sample': 2}, {'bank_columns': 6, 'lane': 0, 'pixel_lane': 0, 'bank_index': 40, 'bank_pitch': 35, 'bank_start': 1433, 'sample_slot': 0, 'address': 1436, 'valid_lanes': 8, 'allocation_end': 2133}), ({'w': 16, 'h': 8, 'x': 15, 'y': 7, 'b': 4, 'base': 33, 'sample': 3}, {'bank_columns': 8, 'lane': 2, 'pixel_lane': 1, 'bank_index': 63, 'bank_pitch': 35, 'bank_start': 2238, 'sample_slot': 6, 'address': 2265, 'valid_lanes': 8, 'allocation_end': 2273}), ({'w': 20, 'h': 12, 'x': 16, 'y': 8, 'b': 4, 'base': 33, 'sample': 0}, {'bank_columns': 10, 'lane': 1, 'pixel_lane': 0, 'bank_index': 88, 'bank_pitch': 35, 'bank_start': 3113, 'sample_slot': 1, 'address': 3120, 'valid_lanes': 8, 'allocation_end': 4233}), ({'w': 7, 'h': 13, 'x': 3, 'y': 12, 'b': 4, 'base': 33, 'sample': 1}, {'bank_columns': 4, 'lane': 3, 'pixel_lane': 1, 'bank_index': 49, 'bank_pitch': 35, 'bank_start': 1748, 'sample_slot': 7, 'address': 1779, 'valid_lanes': 8, 'allocation_end': 1853})], 4: [({'w': 1, 'h': 1, 'x': 0, 'y': 0, 'b': 5, 'base': 44, 'sample': 0}, {'bank_columns': 1, 'lane': 1, 'pixel_lane': 0, 'bank_index': 0, 'bank_pitch': 43, 'bank_start': 44, 'sample_slot': 1, 'address': 52, 'valid_lanes': 4, 'allocation_end': 87}), ({'w': 9, 'h': 7, 'x': 1, 'y': 2, 'b': 5, 'base': 44, 'sample': 1}, {'bank_columns': 5, 'lane': 3, 'pixel_lane': 1, 'bank_index': 10, 'bank_pitch': 43, 'bank_start': 474, 'sample_slot': 7, 'address': 512, 'valid_lanes': 8, 'allocation_end': 1549}), ({'w': 13, 'h': 11, 'x': 8, 'y': 6, 'b': 5, 'base': 44, 'sample': 2}, {'bank_columns': 7, 'lane': 0, 'pixel_lane': 0, 'bank_index': 46, 'bank_pitch': 43, 'bank_start': 2022, 'sample_slot': 0, 'address': 2025, 'valid_lanes': 8, 'allocation_end': 3355}), ({'w': 16, 'h': 8, 'x': 15, 'y': 7, 'b': 5, 'base': 44, 'sample': 3}, {'bank_columns': 8, 'lane': 2, 'pixel_lane': 1, 'bank_index': 63, 'bank_pitch': 43, 'bank_start': 2753, 'sample_slot': 6, 'address': 2786, 'valid_lanes': 8, 'allocation_end': 2796}), ({'w': 21, 'h': 13, 'x': 16, 'y': 8, 'b': 5, 'base': 44, 'sample': 0}, {'bank_columns': 11, 'lane': 1, 'pixel_lane': 0, 'bank_index': 96, 'bank_pitch': 43, 'bank_start': 4172, 'sample_slot': 1, 'address': 4180, 'valid_lanes': 8, 'allocation_end': 6193}), ({'w': 7, 'h': 13, 'x': 3, 'y': 12, 'b': 5, 'base': 44, 'sample': 1}, {'bank_columns': 4, 'lane': 3, 'pixel_lane': 1, 'bank_index': 49, 'bank_pitch': 43, 'bank_start': 2151, 'sample_slot': 7, 'address': 2189, 'valid_lanes': 8, 'allocation_end': 2280})], 5: [({'w': 1, 'h': 1, 'x': 0, 'y': 0, 'b': 6, 'base': 55, 'sample': 0}, {'bank_columns': 1, 'lane': 1, 'pixel_lane': 0, 'bank_index': 0, 'bank_pitch': 51, 'bank_start': 55, 'sample_slot': 1, 'address': 64, 'valid_lanes': 4, 'allocation_end': 106}), ({'w': 10, 'h': 8, 'x': 1, 'y': 2, 'b': 6, 'base': 55, 'sample': 1}, {'bank_columns': 5, 'lane': 3, 'pixel_lane': 1, 'bank_index': 10, 'bank_pitch': 51, 'bank_start': 565, 'sample_slot': 7, 'address': 610, 'valid_lanes': 8, 'allocation_end': 2095}), ({'w': 14, 'h': 12, 'x': 8, 'y': 6, 'b': 6, 'base': 55, 'sample': 2}, {'bank_columns': 7, 'lane': 0, 'pixel_lane': 0, 'bank_index': 46, 'bank_pitch': 51, 'bank_start': 2401, 'sample_slot': 0, 'address': 2404, 'valid_lanes': 8, 'allocation_end': 4339}), ({'w': 16, 'h': 8, 'x': 15, 'y': 7, 'b': 6, 'base': 55, 'sample': 3}, {'bank_columns': 8, 'lane': 2, 'pixel_lane': 1, 'bank_index': 63, 'bank_pitch': 51, 'bank_start': 3268, 'sample_slot': 6, 'address': 3307, 'valid_lanes': 8, 'allocation_end': 3319}), ({'w': 22, 'h': 14, 'x': 16, 'y': 8, 'b': 6, 'base': 55, 'sample': 0}, {'bank_columns': 11, 'lane': 1, 'pixel_lane': 0, 'bank_index': 96, 'bank_pitch': 51, 'bank_start': 4951, 'sample_slot': 1, 'address': 4960, 'valid_lanes': 8, 'allocation_end': 7909}), ({'w': 7, 'h': 13, 'x': 3, 'y': 12, 'b': 6, 'base': 55, 'sample': 1}, {'bank_columns': 4, 'lane': 3, 'pixel_lane': 1, 'bank_index': 49, 'bank_pitch': 51, 'bank_start': 2554, 'sample_slot': 7, 'address': 2599, 'valid_lanes': 8, 'allocation_end': 2707})]}
for i, (p, expected) in enumerate(cases[N]):
    check("layout fixture " + str(i + 1), solve(p), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
Boundary fixtureActualExpectedOutcome
layout fixture 1{'address': 16, 'allocation_end': 19, 'bank_columns': 1, 'bank_index': 0, 'bank_pitch': 19, 'bank_start': 11, 'lane': 1, 'pixel_lane': 0, 'sample_slot': 1, 'valid_lanes': 4}{'address': 16, 'allocation_end': 30, 'bank_columns': 1, 'bank_index': 0, 'bank_pitch': 19, 'bank_start': 11, 'lane': 1, 'pixel_lane': 0, 'sample_slot': 1, 'valid_lanes': 4}Failed
layout fixture 2{'address': 142, 'allocation_end': 203, 'bank_columns': 3, 'bank_index': 6, 'bank_pitch': 19, 'bank_start': 125, 'lane': 3, 'pixel_lane': 1, 'sample_slot': 7, 'valid_lanes': 8}{'address': 142, 'allocation_end': 239, 'bank_columns': 3, 'bank_index': 6, 'bank_pitch': 19, 'bank_start': 125, 'lane': 3, 'pixel_lane': 1, 'sample_slot': 7, 'valid_lanes': 8}Failed
layout fixture 3{'address': 660, 'allocation_end': 651, 'bank_columns': 5, 'bank_index': 34, 'bank_pitch': 19, 'bank_start': 657, 'lane': 0, 'pixel_lane': 0, 'sample_slot': 0, 'valid_lanes': 8}{'address': 660, 'allocation_end': 771, 'bank_columns': 5, 'bank_index': 34, 'bank_pitch': 19, 'bank_start': 657, 'lane': 0, 'pixel_lane': 0, 'sample_slot': 0, 'valid_lanes': 8}Failed
layout fixture 4{'address': 1223, 'allocation_end': 1035, 'bank_columns': 8, 'bank_index': 63, 'bank_pitch': 19, 'bank_start': 1208, 'lane': 2, 'pixel_lane': 1, 'sample_slot': 6, 'valid_lanes': 8}{'address': 1223, 'allocation_end': 1227, 'bank_columns': 8, 'bank_index': 63, 'bank_pitch': 19, 'bank_start': 1208, 'lane': 2, 'pixel_lane': 1, 'sample_slot': 6, 'valid_lanes': 8}Failed
layout fixture 5{'address': 1536, 'allocation_end': 1451, 'bank_columns': 9, 'bank_index': 80, 'bank_pitch': 19, 'bank_start': 1531, 'lane': 1, 'pixel_lane': 0, 'sample_slot': 1, 'valid_lanes': 8}{'address': 1536, 'allocation_end': 1721, 'bank_columns': 9, 'bank_index': 80, 'bank_pitch': 19, 'bank_start': 1531, 'lane': 1, 'pixel_lane': 0, 'sample_slot': 1, 'valid_lanes': 8}Failed
layout fixture 6{'address': 959, 'allocation_end': 739, 'bank_columns': 4, 'bank_index': 49, 'bank_pitch': 19, 'bank_start': 942, 'lane': 3, 'pixel_lane': 1, 'sample_slot': 7, 'valid_lanes': 8}{'address': 959, 'allocation_end': 999, 'bank_columns': 4, 'bank_index': 49, 'bank_pitch': 19, 'bank_start': 942, 'lane': 3, 'pixel_lane': 1, 'sample_slot': 7, 'valid_lanes': 8}Failed

SHA-256 / c452f9f529dabcbd26e3adc68429da24d141bd9a1d25c5d8b66a20cf6d492547

2 / The unsuccessful fix

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(p):
    p = dict(p)
    bank_columns = (p["w"]+1)//2
    lane = [1,3,0,2][p["sample"]]
    pixel_lane = p["x"]%2
    bank_index = p["y"]*bank_columns+p["x"]//2
    bank_pitch = 8*p["b"]+3
    bank_start = p["base"]+bank_index*bank_pitch
    sample_slot = pixel_lane*4+lane
    address = bank_start+3+sample_slot*p["b"]
    valid_lanes = 4*min(2,p["w"]-2*(p["x"]//2))
    allocation_end = p["base"]+p["h"]*bank_columns*8*p["b"]
    return {'bank_columns': bank_columns, 'lane': lane, 'pixel_lane': pixel_lane, 'bank_index': bank_index, 'bank_pitch': bank_pitch, 'bank_start': bank_start, 'sample_slot': sample_slot, 'address': address, 'valid_lanes': valid_lanes, 'allocation_end': allocation_end}
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
cases = {1: [({'w': 1, 'h': 1, 'x': 0, 'y': 0, 'b': 2, 'base': 11, 'sample': 0}, {'bank_columns': 1, 'lane': 1, 'pixel_lane': 0, 'bank_index': 0, 'bank_pitch': 19, 'bank_start': 11, 'sample_slot': 1, 'address': 16, 'valid_lanes': 4, 'allocation_end': 30}), ({'w': 6, 'h': 4, 'x': 1, 'y': 2, 'b': 2, 'base': 11, 'sample': 1}, {'bank_columns': 3, 'lane': 3, 'pixel_lane': 1, 'bank_index': 6, 'bank_pitch': 19, 'bank_start': 125, 'sample_slot': 7, 'address': 142, 'valid_lanes': 8, 'allocation_end': 239}), ({'w': 10, 'h': 8, 'x': 8, 'y': 6, 'b': 2, 'base': 11, 'sample': 2}, {'bank_columns': 5, 'lane': 0, 'pixel_lane': 0, 'bank_index': 34, 'bank_pitch': 19, 'bank_start': 657, 'sample_slot': 0, 'address': 660, 'valid_lanes': 8, 'allocation_end': 771}), ({'w': 16, 'h': 8, 'x': 15, 'y': 7, 'b': 2, 'base': 11, 'sample': 3}, {'bank_columns': 8, 'lane': 2, 'pixel_lane': 1, 'bank_index': 63, 'bank_pitch': 19, 'bank_start': 1208, 'sample_slot': 6, 'address': 1223, 'valid_lanes': 8, 'allocation_end': 1227}), ({'w': 18, 'h': 10, 'x': 16, 'y': 8, 'b': 2, 'base': 11, 'sample': 0}, {'bank_columns': 9, 'lane': 1, 'pixel_lane': 0, 'bank_index': 80, 'bank_pitch': 19, 'bank_start': 1531, 'sample_slot': 1, 'address': 1536, 'valid_lanes': 8, 'allocation_end': 1721}), ({'w': 7, 'h': 13, 'x': 3, 'y': 12, 'b': 2, 'base': 11, 'sample': 1}, {'bank_columns': 4, 'lane': 3, 'pixel_lane': 1, 'bank_index': 49, 'bank_pitch': 19, 'bank_start': 942, 'sample_slot': 7, 'address': 959, 'valid_lanes': 8, 'allocation_end': 999})], 2: [({'w': 1, 'h': 1, 'x': 0, 'y': 0, 'b': 3, 'base': 22, 'sample': 0}, {'bank_columns': 1, 'lane': 1, 'pixel_lane': 0, 'bank_index': 0, 'bank_pitch': 27, 'bank_start': 22, 'sample_slot': 1, 'address': 28, 'valid_lanes': 4, 'allocation_end': 49}), ({'w': 7, 'h': 5, 'x': 1, 'y': 2, 'b': 3, 'base': 22, 'sample': 1}, {'bank_columns': 4, 'lane': 3, 'pixel_lane': 1, 'bank_index': 8, 'bank_pitch': 27, 'bank_start': 238, 'sample_slot': 7, 'address': 262, 'valid_lanes': 8, 'allocation_end': 562}), ({'w': 11, 'h': 9, 'x': 8, 'y': 6, 'b': 3, 'base': 22, 'sample': 2}, {'bank_columns': 6, 'lane': 0, 'pixel_lane': 0, 'bank_index': 40, 'bank_pitch': 27, 'bank_start': 1102, 'sample_slot': 0, 'address': 1105, 'valid_lanes': 8, 'allocation_end': 1480}), ({'w': 16, 'h': 8, 'x': 15, 'y': 7, 'b': 3, 'base': 22, 'sample': 3}, {'bank_columns': 8, 'lane': 2, 'pixel_lane': 1, 'bank_index': 63, 'bank_pitch': 27, 'bank_start': 1723, 'sample_slot': 6, 'address': 1744, 'valid_lanes': 8, 'allocation_end': 1750}), ({'w': 19, 'h': 11, 'x': 16, 'y': 8, 'b': 3, 'base': 22, 'sample': 0}, {'bank_columns': 10, 'lane': 1, 'pixel_lane': 0, 'bank_index': 88, 'bank_pitch': 27, 'bank_start': 2398, 'sample_slot': 1, 'address': 2404, 'valid_lanes': 8, 'allocation_end': 2992}), ({'w': 7, 'h': 13, 'x': 3, 'y': 12, 'b': 3, 'base': 22, 'sample': 1}, {'bank_columns': 4, 'lane': 3, 'pixel_lane': 1, 'bank_index': 49, 'bank_pitch': 27, 'bank_start': 1345, 'sample_slot': 7, 'address': 1369, 'valid_lanes': 8, 'allocation_end': 1426})], 3: [({'w': 1, 'h': 1, 'x': 0, 'y': 0, 'b': 4, 'base': 33, 'sample': 0}, {'bank_columns': 1, 'lane': 1, 'pixel_lane': 0, 'bank_index': 0, 'bank_pitch': 35, 'bank_start': 33, 'sample_slot': 1, 'address': 40, 'valid_lanes': 4, 'allocation_end': 68}), ({'w': 8, 'h': 6, 'x': 1, 'y': 2, 'b': 4, 'base': 33, 'sample': 1}, {'bank_columns': 4, 'lane': 3, 'pixel_lane': 1, 'bank_index': 8, 'bank_pitch': 35, 'bank_start': 313, 'sample_slot': 7, 'address': 344, 'valid_lanes': 8, 'allocation_end': 873}), ({'w': 12, 'h': 10, 'x': 8, 'y': 6, 'b': 4, 'base': 33, 'sample': 2}, {'bank_columns': 6, 'lane': 0, 'pixel_lane': 0, 'bank_index': 40, 'bank_pitch': 35, 'bank_start': 1433, 'sample_slot': 0, 'address': 1436, 'valid_lanes': 8, 'allocation_end': 2133}), ({'w': 16, 'h': 8, 'x': 15, 'y': 7, 'b': 4, 'base': 33, 'sample': 3}, {'bank_columns': 8, 'lane': 2, 'pixel_lane': 1, 'bank_index': 63, 'bank_pitch': 35, 'bank_start': 2238, 'sample_slot': 6, 'address': 2265, 'valid_lanes': 8, 'allocation_end': 2273}), ({'w': 20, 'h': 12, 'x': 16, 'y': 8, 'b': 4, 'base': 33, 'sample': 0}, {'bank_columns': 10, 'lane': 1, 'pixel_lane': 0, 'bank_index': 88, 'bank_pitch': 35, 'bank_start': 3113, 'sample_slot': 1, 'address': 3120, 'valid_lanes': 8, 'allocation_end': 4233}), ({'w': 7, 'h': 13, 'x': 3, 'y': 12, 'b': 4, 'base': 33, 'sample': 1}, {'bank_columns': 4, 'lane': 3, 'pixel_lane': 1, 'bank_index': 49, 'bank_pitch': 35, 'bank_start': 1748, 'sample_slot': 7, 'address': 1779, 'valid_lanes': 8, 'allocation_end': 1853})], 4: [({'w': 1, 'h': 1, 'x': 0, 'y': 0, 'b': 5, 'base': 44, 'sample': 0}, {'bank_columns': 1, 'lane': 1, 'pixel_lane': 0, 'bank_index': 0, 'bank_pitch': 43, 'bank_start': 44, 'sample_slot': 1, 'address': 52, 'valid_lanes': 4, 'allocation_end': 87}), ({'w': 9, 'h': 7, 'x': 1, 'y': 2, 'b': 5, 'base': 44, 'sample': 1}, {'bank_columns': 5, 'lane': 3, 'pixel_lane': 1, 'bank_index': 10, 'bank_pitch': 43, 'bank_start': 474, 'sample_slot': 7, 'address': 512, 'valid_lanes': 8, 'allocation_end': 1549}), ({'w': 13, 'h': 11, 'x': 8, 'y': 6, 'b': 5, 'base': 44, 'sample': 2}, {'bank_columns': 7, 'lane': 0, 'pixel_lane': 0, 'bank_index': 46, 'bank_pitch': 43, 'bank_start': 2022, 'sample_slot': 0, 'address': 2025, 'valid_lanes': 8, 'allocation_end': 3355}), ({'w': 16, 'h': 8, 'x': 15, 'y': 7, 'b': 5, 'base': 44, 'sample': 3}, {'bank_columns': 8, 'lane': 2, 'pixel_lane': 1, 'bank_index': 63, 'bank_pitch': 43, 'bank_start': 2753, 'sample_slot': 6, 'address': 2786, 'valid_lanes': 8, 'allocation_end': 2796}), ({'w': 21, 'h': 13, 'x': 16, 'y': 8, 'b': 5, 'base': 44, 'sample': 0}, {'bank_columns': 11, 'lane': 1, 'pixel_lane': 0, 'bank_index': 96, 'bank_pitch': 43, 'bank_start': 4172, 'sample_slot': 1, 'address': 4180, 'valid_lanes': 8, 'allocation_end': 6193}), ({'w': 7, 'h': 13, 'x': 3, 'y': 12, 'b': 5, 'base': 44, 'sample': 1}, {'bank_columns': 4, 'lane': 3, 'pixel_lane': 1, 'bank_index': 49, 'bank_pitch': 43, 'bank_start': 2151, 'sample_slot': 7, 'address': 2189, 'valid_lanes': 8, 'allocation_end': 2280})], 5: [({'w': 1, 'h': 1, 'x': 0, 'y': 0, 'b': 6, 'base': 55, 'sample': 0}, {'bank_columns': 1, 'lane': 1, 'pixel_lane': 0, 'bank_index': 0, 'bank_pitch': 51, 'bank_start': 55, 'sample_slot': 1, 'address': 64, 'valid_lanes': 4, 'allocation_end': 106}), ({'w': 10, 'h': 8, 'x': 1, 'y': 2, 'b': 6, 'base': 55, 'sample': 1}, {'bank_columns': 5, 'lane': 3, 'pixel_lane': 1, 'bank_index': 10, 'bank_pitch': 51, 'bank_start': 565, 'sample_slot': 7, 'address': 610, 'valid_lanes': 8, 'allocation_end': 2095}), ({'w': 14, 'h': 12, 'x': 8, 'y': 6, 'b': 6, 'base': 55, 'sample': 2}, {'bank_columns': 7, 'lane': 0, 'pixel_lane': 0, 'bank_index': 46, 'bank_pitch': 51, 'bank_start': 2401, 'sample_slot': 0, 'address': 2404, 'valid_lanes': 8, 'allocation_end': 4339}), ({'w': 16, 'h': 8, 'x': 15, 'y': 7, 'b': 6, 'base': 55, 'sample': 3}, {'bank_columns': 8, 'lane': 2, 'pixel_lane': 1, 'bank_index': 63, 'bank_pitch': 51, 'bank_start': 3268, 'sample_slot': 6, 'address': 3307, 'valid_lanes': 8, 'allocation_end': 3319}), ({'w': 22, 'h': 14, 'x': 16, 'y': 8, 'b': 6, 'base': 55, 'sample': 0}, {'bank_columns': 11, 'lane': 1, 'pixel_lane': 0, 'bank_index': 96, 'bank_pitch': 51, 'bank_start': 4951, 'sample_slot': 1, 'address': 4960, 'valid_lanes': 8, 'allocation_end': 7909}), ({'w': 7, 'h': 13, 'x': 3, 'y': 12, 'b': 6, 'base': 55, 'sample': 1}, {'bank_columns': 4, 'lane': 3, 'pixel_lane': 1, 'bank_index': 49, 'bank_pitch': 51, 'bank_start': 2554, 'sample_slot': 7, 'address': 2599, 'valid_lanes': 8, 'allocation_end': 2707})]}
for i, (p, expected) in enumerate(cases[N]):
    check("layout fixture " + str(i + 1), solve(p), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
Boundary fixtureActualExpectedOutcome
layout fixture 1{'address': 16, 'allocation_end': 27, 'bank_columns': 1, 'bank_index': 0, 'bank_pitch': 19, 'bank_start': 11, 'lane': 1, 'pixel_lane': 0, 'sample_slot': 1, 'valid_lanes': 4}{'address': 16, 'allocation_end': 30, 'bank_columns': 1, 'bank_index': 0, 'bank_pitch': 19, 'bank_start': 11, 'lane': 1, 'pixel_lane': 0, 'sample_slot': 1, 'valid_lanes': 4}Failed
layout fixture 2{'address': 142, 'allocation_end': 203, 'bank_columns': 3, 'bank_index': 6, 'bank_pitch': 19, 'bank_start': 125, 'lane': 3, 'pixel_lane': 1, 'sample_slot': 7, 'valid_lanes': 8}{'address': 142, 'allocation_end': 239, 'bank_columns': 3, 'bank_index': 6, 'bank_pitch': 19, 'bank_start': 125, 'lane': 3, 'pixel_lane': 1, 'sample_slot': 7, 'valid_lanes': 8}Failed
layout fixture 3{'address': 660, 'allocation_end': 651, 'bank_columns': 5, 'bank_index': 34, 'bank_pitch': 19, 'bank_start': 657, 'lane': 0, 'pixel_lane': 0, 'sample_slot': 0, 'valid_lanes': 8}{'address': 660, 'allocation_end': 771, 'bank_columns': 5, 'bank_index': 34, 'bank_pitch': 19, 'bank_start': 657, 'lane': 0, 'pixel_lane': 0, 'sample_slot': 0, 'valid_lanes': 8}Failed
layout fixture 4{'address': 1223, 'allocation_end': 1035, 'bank_columns': 8, 'bank_index': 63, 'bank_pitch': 19, 'bank_start': 1208, 'lane': 2, 'pixel_lane': 1, 'sample_slot': 6, 'valid_lanes': 8}{'address': 1223, 'allocation_end': 1227, 'bank_columns': 8, 'bank_index': 63, 'bank_pitch': 19, 'bank_start': 1208, 'lane': 2, 'pixel_lane': 1, 'sample_slot': 6, 'valid_lanes': 8}Failed
layout fixture 5{'address': 1536, 'allocation_end': 1451, 'bank_columns': 9, 'bank_index': 80, 'bank_pitch': 19, 'bank_start': 1531, 'lane': 1, 'pixel_lane': 0, 'sample_slot': 1, 'valid_lanes': 8}{'address': 1536, 'allocation_end': 1721, 'bank_columns': 9, 'bank_index': 80, 'bank_pitch': 19, 'bank_start': 1531, 'lane': 1, 'pixel_lane': 0, 'sample_slot': 1, 'valid_lanes': 8}Failed
layout fixture 6{'address': 959, 'allocation_end': 843, 'bank_columns': 4, 'bank_index': 49, 'bank_pitch': 19, 'bank_start': 942, 'lane': 3, 'pixel_lane': 1, 'sample_slot': 7, 'valid_lanes': 8}{'address': 959, 'allocation_end': 999, 'bank_columns': 4, 'bank_index': 49, 'bank_pitch': 19, 'bank_start': 942, 'lane': 3, 'pixel_lane': 1, 'sample_slot': 7, 'valid_lanes': 8}Failed

SHA-256 / c7f1f4501490ba30b73402616168f7b4d4f815f5925b9ef84cb114d8b28e5a9d

HELD IN THE MEMBER ARCHIVE

The verified repair and its recorded checks are member-only.

This mechanism has 6 recorded checks per implementation. The open-access tier publishes the failure and the unsuccessful fix; the repaired source that passes every check, and the observations that prove it, are available to members.

Every case sharing this mechanism uses the same contract and the same repair, so this one record is held back for all of them.

Member access is invitation-based. Sign in with your invited account to inspect the repair.

Sign in to the archive ↗

Verification & scope

Stipulated deterministic toy buffer layout; not a graphics API, codec, GPU vendor tiling specification, or hardware-conformance claim. Inputs satisfy the dimensions and bounds stated by the model. This reproducer isolates one failure mechanism. Results cover the supplied fixtures. Variants within a family share a test contract and should remain grouped when constructing evaluation splits. Related mechanisms with a shared evaluation_group must also remain together; these controlled models are not independent production incidents.

Observations recorded using Python 3.12.14 at 2026-09-29T14:45:30.057773+00:00.

Case digest / 559c9f60c39495609d95c77dc14f94e55c2622d320e2e9c521ac251477160849