broken_source:
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(p):
    p = dict(p)
    words = (p["w"]+15)//16
    row_words = words
    row_bytes = row_words*2
    plane_bytes = p["h"]*row_bytes+4
    plane_origin = p["base"]+p["plane"]*plane_bytes+4
    word_column = p["x"]//16
    bit_index = 15-p["x"]%16
    mask = 1<<bit_index
    address = plane_origin+p["y"]*row_bytes+word_column*2
    last_word_mask = ((1<<(p["w"]%16))-1)<<(16-p["w"]%16) if p["w"]%16 else 65535
    return {'words': words, 'row_words': row_words, 'row_bytes': row_bytes, 'plane_bytes': plane_bytes, 'plane_origin': plane_origin, 'word_column': word_column, 'bit_index': bit_index, 'mask': mask, 'address': address, 'last_word_mask': last_word_mask}
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
cases = {1: [({'w': 18, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 15, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 15, 'last_word_mask': 49152}), ({'w': 19, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 37, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 43, 'last_word_mask': 57344}), ({'w': 20, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 71, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 83, 'last_word_mask': 61440}), ({'w': 21, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 117, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 137, 'last_word_mask': 63488}), ({'w': 22, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 15, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 41, 'last_word_mask': 64512}), ({'w': 23, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 61, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 93, 'last_word_mask': 65024})], 2: [({'w': 19, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 26, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 26, 'last_word_mask': 57344}), ({'w': 20, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 48, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 54, 'last_word_mask': 61440}), ({'w': 21, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 82, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 94, 'last_word_mask': 63488}), ({'w': 22, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 128, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 148, 'last_word_mask': 64512}), ({'w': 23, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 26, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 52, 'last_word_mask': 65024}), ({'w': 24, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 72, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 104, 'last_word_mask': 65280})], 3: [({'w': 20, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 37, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 37, 'last_word_mask': 61440}), ({'w': 21, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 59, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 65, 'last_word_mask': 63488}), ({'w': 22, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 93, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 105, 'last_word_mask': 64512}), ({'w': 23, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 139, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 159, 'last_word_mask': 65024}), ({'w': 24, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 37, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 63, 'last_word_mask': 65280}), ({'w': 25, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 83, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 115, 'last_word_mask': 65408})], 4: [({'w': 21, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 48, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 48, 'last_word_mask': 63488}), ({'w': 22, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 70, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 76, 'last_word_mask': 64512}), ({'w': 23, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 104, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 116, 'last_word_mask': 65024}), ({'w': 24, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 150, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 170, 'last_word_mask': 65280}), ({'w': 25, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 48, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 74, 'last_word_mask': 65408}), ({'w': 26, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 94, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 126, 'last_word_mask': 65472})], 5: [({'w': 22, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 59, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 59, 'last_word_mask': 64512}), ({'w': 23, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 81, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 87, 'last_word_mask': 65024}), ({'w': 24, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 115, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 127, 'last_word_mask': 65280}), ({'w': 25, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 161, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 181, 'last_word_mask': 65408}), ({'w': 26, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 59, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 85, 'last_word_mask': 65472}), ({'w': 27, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 105, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 137, 'last_word_mask': 65504})]}
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)

source:
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(p):
    p = dict(p)
    words = (p["w"]+15)//16
    row_words = words*2
    row_bytes = row_words*2
    plane_bytes = p["h"]*row_bytes+4
    plane_origin = p["base"]+p["plane"]*plane_bytes+4
    word_column = p["x"]//16
    bit_index = 15-p["x"]%16
    mask = 1<<bit_index
    address = plane_origin+p["y"]*row_bytes+word_column*2
    last_word_mask = ((1<<(p["w"]%16))-1)<<(16-p["w"]%16) if p["w"]%16 else 65535
    return {'words': words, 'row_words': row_words, 'row_bytes': row_bytes, 'plane_bytes': plane_bytes, 'plane_origin': plane_origin, 'word_column': word_column, 'bit_index': bit_index, 'mask': mask, 'address': address, 'last_word_mask': last_word_mask}
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
cases = {1: [({'w': 18, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 15, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 15, 'last_word_mask': 49152}), ({'w': 19, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 37, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 43, 'last_word_mask': 57344}), ({'w': 20, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 71, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 83, 'last_word_mask': 61440}), ({'w': 21, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 117, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 137, 'last_word_mask': 63488}), ({'w': 22, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 15, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 41, 'last_word_mask': 64512}), ({'w': 23, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 61, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 93, 'last_word_mask': 65024})], 2: [({'w': 19, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 26, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 26, 'last_word_mask': 57344}), ({'w': 20, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 48, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 54, 'last_word_mask': 61440}), ({'w': 21, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 82, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 94, 'last_word_mask': 63488}), ({'w': 22, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 128, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 148, 'last_word_mask': 64512}), ({'w': 23, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 26, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 52, 'last_word_mask': 65024}), ({'w': 24, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 72, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 104, 'last_word_mask': 65280})], 3: [({'w': 20, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 37, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 37, 'last_word_mask': 61440}), ({'w': 21, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 59, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 65, 'last_word_mask': 63488}), ({'w': 22, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 93, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 105, 'last_word_mask': 64512}), ({'w': 23, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 139, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 159, 'last_word_mask': 65024}), ({'w': 24, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 37, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 63, 'last_word_mask': 65280}), ({'w': 25, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 83, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 115, 'last_word_mask': 65408})], 4: [({'w': 21, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 48, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 48, 'last_word_mask': 63488}), ({'w': 22, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 70, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 76, 'last_word_mask': 64512}), ({'w': 23, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 104, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 116, 'last_word_mask': 65024}), ({'w': 24, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 150, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 170, 'last_word_mask': 65280}), ({'w': 25, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 48, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 74, 'last_word_mask': 65408}), ({'w': 26, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 94, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 126, 'last_word_mask': 65472})], 5: [({'w': 22, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 59, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 59, 'last_word_mask': 64512}), ({'w': 23, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 81, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 87, 'last_word_mask': 65024}), ({'w': 24, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 115, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 127, 'last_word_mask': 65280}), ({'w': 25, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 161, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 181, 'last_word_mask': 65408}), ({'w': 26, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 59, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 85, 'last_word_mask': 65472}), ({'w': 27, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 105, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 137, 'last_word_mask': 65504})]}
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)

prompt:
The returned physical layout descriptor disagrees with the declared buffer mapping at row_words.

A four-plane bitmap uses sixteen-bit words, most-significant-bit-first pixels, independent plane headers, and plane-major storage. Each row contains an extra sentinel word. Return word location and update mask without decoding colors. Return the named intermediate layout descriptor and final address fields; all quantities are integer byte offsets unless explicitly stated.

split: open-access


broken_source:
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(p):
    p = dict(p)
    words = (p["w"]+15)//16
    row_words = words+1
    row_bytes = row_words
    plane_bytes = p["h"]*row_bytes+4
    plane_origin = p["base"]+p["plane"]*plane_bytes+4
    word_column = p["x"]//16
    bit_index = 15-p["x"]%16
    mask = 1<<bit_index
    address = plane_origin+p["y"]*row_bytes+word_column*2
    last_word_mask = ((1<<(p["w"]%16))-1)<<(16-p["w"]%16) if p["w"]%16 else 65535
    return {'words': words, 'row_words': row_words, 'row_bytes': row_bytes, 'plane_bytes': plane_bytes, 'plane_origin': plane_origin, 'word_column': word_column, 'bit_index': bit_index, 'mask': mask, 'address': address, 'last_word_mask': last_word_mask}
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
cases = {1: [({'w': 18, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 15, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 15, 'last_word_mask': 49152}), ({'w': 19, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 37, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 43, 'last_word_mask': 57344}), ({'w': 20, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 71, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 83, 'last_word_mask': 61440}), ({'w': 21, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 117, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 137, 'last_word_mask': 63488}), ({'w': 22, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 15, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 41, 'last_word_mask': 64512}), ({'w': 23, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 61, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 93, 'last_word_mask': 65024})], 2: [({'w': 19, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 26, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 26, 'last_word_mask': 57344}), ({'w': 20, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 48, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 54, 'last_word_mask': 61440}), ({'w': 21, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 82, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 94, 'last_word_mask': 63488}), ({'w': 22, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 128, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 148, 'last_word_mask': 64512}), ({'w': 23, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 26, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 52, 'last_word_mask': 65024}), ({'w': 24, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 72, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 104, 'last_word_mask': 65280})], 3: [({'w': 20, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 37, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 37, 'last_word_mask': 61440}), ({'w': 21, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 59, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 65, 'last_word_mask': 63488}), ({'w': 22, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 93, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 105, 'last_word_mask': 64512}), ({'w': 23, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 139, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 159, 'last_word_mask': 65024}), ({'w': 24, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 37, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 63, 'last_word_mask': 65280}), ({'w': 25, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 83, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 115, 'last_word_mask': 65408})], 4: [({'w': 21, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 48, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 48, 'last_word_mask': 63488}), ({'w': 22, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 70, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 76, 'last_word_mask': 64512}), ({'w': 23, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 104, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 116, 'last_word_mask': 65024}), ({'w': 24, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 150, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 170, 'last_word_mask': 65280}), ({'w': 25, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 48, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 74, 'last_word_mask': 65408}), ({'w': 26, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 94, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 126, 'last_word_mask': 65472})], 5: [({'w': 22, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 59, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 59, 'last_word_mask': 64512}), ({'w': 23, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 81, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 87, 'last_word_mask': 65024}), ({'w': 24, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 115, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 127, 'last_word_mask': 65280}), ({'w': 25, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 161, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 181, 'last_word_mask': 65408}), ({'w': 26, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 59, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 85, 'last_word_mask': 65472}), ({'w': 27, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 105, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 137, 'last_word_mask': 65504})]}
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)

meaning: Fixture-count band, not measured model difficulty

deps: stdlib

source:
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(p):
    p = dict(p)
    words = (p["w"]+15)//16
    row_words = words+1
    row_bytes = words*2
    plane_bytes = p["h"]*row_bytes+4
    plane_origin = p["base"]+p["plane"]*plane_bytes+4
    word_column = p["x"]//16
    bit_index = 15-p["x"]%16
    mask = 1<<bit_index
    address = plane_origin+p["y"]*row_bytes+word_column*2
    last_word_mask = ((1<<(p["w"]%16))-1)<<(16-p["w"]%16) if p["w"]%16 else 65535
    return {'words': words, 'row_words': row_words, 'row_bytes': row_bytes, 'plane_bytes': plane_bytes, 'plane_origin': plane_origin, 'word_column': word_column, 'bit_index': bit_index, 'mask': mask, 'address': address, 'last_word_mask': last_word_mask}
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
cases = {1: [({'w': 18, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 15, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 15, 'last_word_mask': 49152}), ({'w': 19, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 37, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 43, 'last_word_mask': 57344}), ({'w': 20, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 71, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 83, 'last_word_mask': 61440}), ({'w': 21, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 117, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 137, 'last_word_mask': 63488}), ({'w': 22, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 15, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 41, 'last_word_mask': 64512}), ({'w': 23, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 61, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 93, 'last_word_mask': 65024})], 2: [({'w': 19, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 26, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 26, 'last_word_mask': 57344}), ({'w': 20, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 48, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 54, 'last_word_mask': 61440}), ({'w': 21, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 82, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 94, 'last_word_mask': 63488}), ({'w': 22, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 128, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 148, 'last_word_mask': 64512}), ({'w': 23, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 26, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 52, 'last_word_mask': 65024}), ({'w': 24, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 72, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 104, 'last_word_mask': 65280})], 3: [({'w': 20, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 37, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 37, 'last_word_mask': 61440}), ({'w': 21, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 59, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 65, 'last_word_mask': 63488}), ({'w': 22, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 93, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 105, 'last_word_mask': 64512}), ({'w': 23, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 139, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 159, 'last_word_mask': 65024}), ({'w': 24, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 37, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 63, 'last_word_mask': 65280}), ({'w': 25, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 83, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 115, 'last_word_mask': 65408})], 4: [({'w': 21, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 48, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 48, 'last_word_mask': 63488}), ({'w': 22, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 70, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 76, 'last_word_mask': 64512}), ({'w': 23, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 104, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 116, 'last_word_mask': 65024}), ({'w': 24, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 150, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 170, 'last_word_mask': 65280}), ({'w': 25, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 48, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 74, 'last_word_mask': 65408}), ({'w': 26, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 94, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 126, 'last_word_mask': 65472})], 5: [({'w': 22, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 59, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 59, 'last_word_mask': 64512}), ({'w': 23, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 81, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 87, 'last_word_mask': 65024}), ({'w': 24, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 115, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 127, 'last_word_mask': 65280}), ({'w': 25, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 161, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 181, 'last_word_mask': 65408}), ({'w': 26, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 59, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 85, 'last_word_mask': 65472}), ({'w': 27, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 105, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 137, 'last_word_mask': 65504})]}
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)

prompt:
The returned physical layout descriptor disagrees with the declared buffer mapping at row_bytes.

A four-plane bitmap uses sixteen-bit words, most-significant-bit-first pixels, independent plane headers, and plane-major storage. Each row contains an extra sentinel word. Return word location and update mask without decoding colors. Return the named intermediate layout descriptor and final address fields; all quantities are integer byte offsets unless explicitly stated.

split: open-access


broken_source:
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(p):
    p = dict(p)
    words = (p["w"]+15)//16
    row_words = words+1
    row_bytes = row_words*2
    plane_bytes = p["h"]*row_bytes
    plane_origin = p["base"]+p["plane"]*plane_bytes+4
    word_column = p["x"]//16
    bit_index = 15-p["x"]%16
    mask = 1<<bit_index
    address = plane_origin+p["y"]*row_bytes+word_column*2
    last_word_mask = ((1<<(p["w"]%16))-1)<<(16-p["w"]%16) if p["w"]%16 else 65535
    return {'words': words, 'row_words': row_words, 'row_bytes': row_bytes, 'plane_bytes': plane_bytes, 'plane_origin': plane_origin, 'word_column': word_column, 'bit_index': bit_index, 'mask': mask, 'address': address, 'last_word_mask': last_word_mask}
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
cases = {1: [({'w': 18, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 15, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 15, 'last_word_mask': 49152}), ({'w': 19, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 37, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 43, 'last_word_mask': 57344}), ({'w': 20, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 71, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 83, 'last_word_mask': 61440}), ({'w': 21, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 117, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 137, 'last_word_mask': 63488}), ({'w': 22, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 15, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 41, 'last_word_mask': 64512}), ({'w': 23, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 61, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 93, 'last_word_mask': 65024})], 2: [({'w': 19, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 26, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 26, 'last_word_mask': 57344}), ({'w': 20, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 48, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 54, 'last_word_mask': 61440}), ({'w': 21, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 82, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 94, 'last_word_mask': 63488}), ({'w': 22, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 128, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 148, 'last_word_mask': 64512}), ({'w': 23, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 26, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 52, 'last_word_mask': 65024}), ({'w': 24, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 72, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 104, 'last_word_mask': 65280})], 3: [({'w': 20, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 37, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 37, 'last_word_mask': 61440}), ({'w': 21, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 59, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 65, 'last_word_mask': 63488}), ({'w': 22, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 93, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 105, 'last_word_mask': 64512}), ({'w': 23, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 139, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 159, 'last_word_mask': 65024}), ({'w': 24, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 37, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 63, 'last_word_mask': 65280}), ({'w': 25, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 83, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 115, 'last_word_mask': 65408})], 4: [({'w': 21, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 48, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 48, 'last_word_mask': 63488}), ({'w': 22, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 70, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 76, 'last_word_mask': 64512}), ({'w': 23, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 104, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 116, 'last_word_mask': 65024}), ({'w': 24, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 150, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 170, 'last_word_mask': 65280}), ({'w': 25, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 48, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 74, 'last_word_mask': 65408}), ({'w': 26, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 94, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 126, 'last_word_mask': 65472})], 5: [({'w': 22, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 59, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 59, 'last_word_mask': 64512}), ({'w': 23, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 81, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 87, 'last_word_mask': 65024}), ({'w': 24, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 115, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 127, 'last_word_mask': 65280}), ({'w': 25, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 161, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 181, 'last_word_mask': 65408}), ({'w': 26, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 59, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 85, 'last_word_mask': 65472}), ({'w': 27, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 105, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 137, 'last_word_mask': 65504})]}
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)

source:
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(p):
    p = dict(p)
    words = (p["w"]+15)//16
    row_words = words+1
    row_bytes = row_words*2
    plane_bytes = p["h"]*(row_bytes+4)
    plane_origin = p["base"]+p["plane"]*plane_bytes+4
    word_column = p["x"]//16
    bit_index = 15-p["x"]%16
    mask = 1<<bit_index
    address = plane_origin+p["y"]*row_bytes+word_column*2
    last_word_mask = ((1<<(p["w"]%16))-1)<<(16-p["w"]%16) if p["w"]%16 else 65535
    return {'words': words, 'row_words': row_words, 'row_bytes': row_bytes, 'plane_bytes': plane_bytes, 'plane_origin': plane_origin, 'word_column': word_column, 'bit_index': bit_index, 'mask': mask, 'address': address, 'last_word_mask': last_word_mask}
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
cases = {1: [({'w': 18, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 15, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 15, 'last_word_mask': 49152}), ({'w': 19, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 37, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 43, 'last_word_mask': 57344}), ({'w': 20, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 71, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 83, 'last_word_mask': 61440}), ({'w': 21, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 117, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 137, 'last_word_mask': 63488}), ({'w': 22, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 15, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 41, 'last_word_mask': 64512}), ({'w': 23, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 61, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 93, 'last_word_mask': 65024})], 2: [({'w': 19, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 26, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 26, 'last_word_mask': 57344}), ({'w': 20, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 48, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 54, 'last_word_mask': 61440}), ({'w': 21, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 82, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 94, 'last_word_mask': 63488}), ({'w': 22, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 128, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 148, 'last_word_mask': 64512}), ({'w': 23, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 26, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 52, 'last_word_mask': 65024}), ({'w': 24, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 72, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 104, 'last_word_mask': 65280})], 3: [({'w': 20, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 37, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 37, 'last_word_mask': 61440}), ({'w': 21, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 59, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 65, 'last_word_mask': 63488}), ({'w': 22, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 93, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 105, 'last_word_mask': 64512}), ({'w': 23, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 139, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 159, 'last_word_mask': 65024}), ({'w': 24, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 37, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 63, 'last_word_mask': 65280}), ({'w': 25, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 83, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 115, 'last_word_mask': 65408})], 4: [({'w': 21, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 48, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 48, 'last_word_mask': 63488}), ({'w': 22, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 70, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 76, 'last_word_mask': 64512}), ({'w': 23, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 104, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 116, 'last_word_mask': 65024}), ({'w': 24, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 150, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 170, 'last_word_mask': 65280}), ({'w': 25, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 48, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 74, 'last_word_mask': 65408}), ({'w': 26, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 94, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 126, 'last_word_mask': 65472})], 5: [({'w': 22, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 59, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 59, 'last_word_mask': 64512}), ({'w': 23, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 81, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 87, 'last_word_mask': 65024}), ({'w': 24, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 115, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 127, 'last_word_mask': 65280}), ({'w': 25, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 161, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 181, 'last_word_mask': 65408}), ({'w': 26, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 59, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 85, 'last_word_mask': 65472}), ({'w': 27, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 105, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 137, 'last_word_mask': 65504})]}
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)

prompt:
The returned physical layout descriptor disagrees with the declared buffer mapping at plane_bytes.

A four-plane bitmap uses sixteen-bit words, most-significant-bit-first pixels, independent plane headers, and plane-major storage. Each row contains an extra sentinel word. Return word location and update mask without decoding colors. Return the named intermediate layout descriptor and final address fields; all quantities are integer byte offsets unless explicitly stated.

split: open-access


broken_source:
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(p):
    p = dict(p)
    words = (p["w"]+15)//16
    row_words = words+1
    row_bytes = row_words*2
    plane_bytes = p["h"]*row_bytes+4
    plane_origin = p["base"]+p["plane"]*plane_bytes
    word_column = p["x"]//16
    bit_index = 15-p["x"]%16
    mask = 1<<bit_index
    address = plane_origin+p["y"]*row_bytes+word_column*2
    last_word_mask = ((1<<(p["w"]%16))-1)<<(16-p["w"]%16) if p["w"]%16 else 65535
    return {'words': words, 'row_words': row_words, 'row_bytes': row_bytes, 'plane_bytes': plane_bytes, 'plane_origin': plane_origin, 'word_column': word_column, 'bit_index': bit_index, 'mask': mask, 'address': address, 'last_word_mask': last_word_mask}
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
cases = {1: [({'w': 18, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 15, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 15, 'last_word_mask': 49152}), ({'w': 19, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 37, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 43, 'last_word_mask': 57344}), ({'w': 20, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 71, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 83, 'last_word_mask': 61440}), ({'w': 21, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 117, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 137, 'last_word_mask': 63488}), ({'w': 22, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 15, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 41, 'last_word_mask': 64512}), ({'w': 23, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 61, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 93, 'last_word_mask': 65024})], 2: [({'w': 19, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 26, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 26, 'last_word_mask': 57344}), ({'w': 20, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 48, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 54, 'last_word_mask': 61440}), ({'w': 21, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 82, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 94, 'last_word_mask': 63488}), ({'w': 22, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 128, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 148, 'last_word_mask': 64512}), ({'w': 23, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 26, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 52, 'last_word_mask': 65024}), ({'w': 24, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 72, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 104, 'last_word_mask': 65280})], 3: [({'w': 20, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 37, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 37, 'last_word_mask': 61440}), ({'w': 21, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 59, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 65, 'last_word_mask': 63488}), ({'w': 22, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 93, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 105, 'last_word_mask': 64512}), ({'w': 23, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 139, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 159, 'last_word_mask': 65024}), ({'w': 24, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 37, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 63, 'last_word_mask': 65280}), ({'w': 25, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 83, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 115, 'last_word_mask': 65408})], 4: [({'w': 21, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 48, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 48, 'last_word_mask': 63488}), ({'w': 22, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 70, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 76, 'last_word_mask': 64512}), ({'w': 23, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 104, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 116, 'last_word_mask': 65024}), ({'w': 24, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 150, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 170, 'last_word_mask': 65280}), ({'w': 25, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 48, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 74, 'last_word_mask': 65408}), ({'w': 26, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 94, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 126, 'last_word_mask': 65472})], 5: [({'w': 22, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 59, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 59, 'last_word_mask': 64512}), ({'w': 23, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 81, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 87, 'last_word_mask': 65024}), ({'w': 24, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 115, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 127, 'last_word_mask': 65280}), ({'w': 25, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 161, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 181, 'last_word_mask': 65408}), ({'w': 26, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 59, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 85, 'last_word_mask': 65472}), ({'w': 27, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 105, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 137, 'last_word_mask': 65504})]}
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)

source:
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(p):
    p = dict(p)
    words = (p["w"]+15)//16
    row_words = words+1
    row_bytes = row_words*2
    plane_bytes = p["h"]*row_bytes+4
    plane_origin = p["base"]+p["plane"]*row_bytes+4
    word_column = p["x"]//16
    bit_index = 15-p["x"]%16
    mask = 1<<bit_index
    address = plane_origin+p["y"]*row_bytes+word_column*2
    last_word_mask = ((1<<(p["w"]%16))-1)<<(16-p["w"]%16) if p["w"]%16 else 65535
    return {'words': words, 'row_words': row_words, 'row_bytes': row_bytes, 'plane_bytes': plane_bytes, 'plane_origin': plane_origin, 'word_column': word_column, 'bit_index': bit_index, 'mask': mask, 'address': address, 'last_word_mask': last_word_mask}
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
cases = {1: [({'w': 18, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 15, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 15, 'last_word_mask': 49152}), ({'w': 19, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 37, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 43, 'last_word_mask': 57344}), ({'w': 20, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 71, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 83, 'last_word_mask': 61440}), ({'w': 21, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 117, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 137, 'last_word_mask': 63488}), ({'w': 22, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 15, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 41, 'last_word_mask': 64512}), ({'w': 23, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 61, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 93, 'last_word_mask': 65024})], 2: [({'w': 19, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 26, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 26, 'last_word_mask': 57344}), ({'w': 20, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 48, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 54, 'last_word_mask': 61440}), ({'w': 21, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 82, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 94, 'last_word_mask': 63488}), ({'w': 22, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 128, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 148, 'last_word_mask': 64512}), ({'w': 23, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 26, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 52, 'last_word_mask': 65024}), ({'w': 24, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 72, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 104, 'last_word_mask': 65280})], 3: [({'w': 20, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 37, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 37, 'last_word_mask': 61440}), ({'w': 21, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 59, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 65, 'last_word_mask': 63488}), ({'w': 22, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 93, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 105, 'last_word_mask': 64512}), ({'w': 23, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 139, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 159, 'last_word_mask': 65024}), ({'w': 24, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 37, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 63, 'last_word_mask': 65280}), ({'w': 25, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 83, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 115, 'last_word_mask': 65408})], 4: [({'w': 21, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 48, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 48, 'last_word_mask': 63488}), ({'w': 22, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 70, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 76, 'last_word_mask': 64512}), ({'w': 23, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 104, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 116, 'last_word_mask': 65024}), ({'w': 24, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 150, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 170, 'last_word_mask': 65280}), ({'w': 25, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 48, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 74, 'last_word_mask': 65408}), ({'w': 26, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 94, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 126, 'last_word_mask': 65472})], 5: [({'w': 22, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 59, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 59, 'last_word_mask': 64512}), ({'w': 23, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 81, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 87, 'last_word_mask': 65024}), ({'w': 24, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 115, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 127, 'last_word_mask': 65280}), ({'w': 25, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 161, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 181, 'last_word_mask': 65408}), ({'w': 26, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 59, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 85, 'last_word_mask': 65472}), ({'w': 27, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 105, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 137, 'last_word_mask': 65504})]}
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)

prompt:
The returned physical layout descriptor disagrees with the declared buffer mapping at plane_origin.

A four-plane bitmap uses sixteen-bit words, most-significant-bit-first pixels, independent plane headers, and plane-major storage. Each row contains an extra sentinel word. Return word location and update mask without decoding colors. Return the named intermediate layout descriptor and final address fields; all quantities are integer byte offsets unless explicitly stated.

split: open-access


broken_source:
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(p):
    p = dict(p)
    words = (p["w"]+15)//16
    row_words = words+1
    row_bytes = row_words*2
    plane_bytes = p["h"]*row_bytes+4
    plane_origin = p["base"]+p["plane"]*plane_bytes+4
    word_column = p["x"]//8
    bit_index = 15-p["x"]%16
    mask = 1<<bit_index
    address = plane_origin+p["y"]*row_bytes+word_column*2
    last_word_mask = ((1<<(p["w"]%16))-1)<<(16-p["w"]%16) if p["w"]%16 else 65535
    return {'words': words, 'row_words': row_words, 'row_bytes': row_bytes, 'plane_bytes': plane_bytes, 'plane_origin': plane_origin, 'word_column': word_column, 'bit_index': bit_index, 'mask': mask, 'address': address, 'last_word_mask': last_word_mask}
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
cases = {1: [({'w': 18, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 15, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 15, 'last_word_mask': 49152}), ({'w': 19, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 37, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 43, 'last_word_mask': 57344}), ({'w': 20, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 71, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 83, 'last_word_mask': 61440}), ({'w': 21, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 117, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 137, 'last_word_mask': 63488}), ({'w': 22, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 15, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 41, 'last_word_mask': 64512}), ({'w': 23, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 61, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 93, 'last_word_mask': 65024})], 2: [({'w': 19, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 26, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 26, 'last_word_mask': 57344}), ({'w': 20, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 48, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 54, 'last_word_mask': 61440}), ({'w': 21, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 82, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 94, 'last_word_mask': 63488}), ({'w': 22, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 128, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 148, 'last_word_mask': 64512}), ({'w': 23, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 26, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 52, 'last_word_mask': 65024}), ({'w': 24, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 72, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 104, 'last_word_mask': 65280})], 3: [({'w': 20, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 37, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 37, 'last_word_mask': 61440}), ({'w': 21, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 59, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 65, 'last_word_mask': 63488}), ({'w': 22, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 93, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 105, 'last_word_mask': 64512}), ({'w': 23, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 139, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 159, 'last_word_mask': 65024}), ({'w': 24, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 37, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 63, 'last_word_mask': 65280}), ({'w': 25, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 83, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 115, 'last_word_mask': 65408})], 4: [({'w': 21, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 48, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 48, 'last_word_mask': 63488}), ({'w': 22, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 70, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 76, 'last_word_mask': 64512}), ({'w': 23, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 104, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 116, 'last_word_mask': 65024}), ({'w': 24, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 150, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 170, 'last_word_mask': 65280}), ({'w': 25, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 48, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 74, 'last_word_mask': 65408}), ({'w': 26, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 94, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 126, 'last_word_mask': 65472})], 5: [({'w': 22, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 59, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 59, 'last_word_mask': 64512}), ({'w': 23, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 81, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 87, 'last_word_mask': 65024}), ({'w': 24, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 115, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 127, 'last_word_mask': 65280}), ({'w': 25, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 161, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 181, 'last_word_mask': 65408}), ({'w': 26, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 59, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 85, 'last_word_mask': 65472}), ({'w': 27, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 105, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 137, 'last_word_mask': 65504})]}
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)

source:
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(p):
    p = dict(p)
    words = (p["w"]+15)//16
    row_words = words+1
    row_bytes = row_words*2
    plane_bytes = p["h"]*row_bytes+4
    plane_origin = p["base"]+p["plane"]*plane_bytes+4
    word_column = p["x"]%16
    bit_index = 15-p["x"]%16
    mask = 1<<bit_index
    address = plane_origin+p["y"]*row_bytes+word_column*2
    last_word_mask = ((1<<(p["w"]%16))-1)<<(16-p["w"]%16) if p["w"]%16 else 65535
    return {'words': words, 'row_words': row_words, 'row_bytes': row_bytes, 'plane_bytes': plane_bytes, 'plane_origin': plane_origin, 'word_column': word_column, 'bit_index': bit_index, 'mask': mask, 'address': address, 'last_word_mask': last_word_mask}
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
cases = {1: [({'w': 18, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 15, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 15, 'last_word_mask': 49152}), ({'w': 19, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 37, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 43, 'last_word_mask': 57344}), ({'w': 20, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 71, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 83, 'last_word_mask': 61440}), ({'w': 21, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 117, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 137, 'last_word_mask': 63488}), ({'w': 22, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 15, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 41, 'last_word_mask': 64512}), ({'w': 23, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 11}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 61, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 93, 'last_word_mask': 65024})], 2: [({'w': 19, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 26, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 26, 'last_word_mask': 57344}), ({'w': 20, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 48, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 54, 'last_word_mask': 61440}), ({'w': 21, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 82, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 94, 'last_word_mask': 63488}), ({'w': 22, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 128, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 148, 'last_word_mask': 64512}), ({'w': 23, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 26, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 52, 'last_word_mask': 65024}), ({'w': 24, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 22}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 72, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 104, 'last_word_mask': 65280})], 3: [({'w': 20, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 37, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 37, 'last_word_mask': 61440}), ({'w': 21, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 59, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 65, 'last_word_mask': 63488}), ({'w': 22, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 93, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 105, 'last_word_mask': 64512}), ({'w': 23, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 139, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 159, 'last_word_mask': 65024}), ({'w': 24, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 37, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 63, 'last_word_mask': 65280}), ({'w': 25, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 33}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 83, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 115, 'last_word_mask': 65408})], 4: [({'w': 21, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 48, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 48, 'last_word_mask': 63488}), ({'w': 22, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 70, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 76, 'last_word_mask': 64512}), ({'w': 23, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 104, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 116, 'last_word_mask': 65024}), ({'w': 24, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 150, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 170, 'last_word_mask': 65280}), ({'w': 25, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 48, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 74, 'last_word_mask': 65408}), ({'w': 26, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 44}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 94, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 126, 'last_word_mask': 65472})], 5: [({'w': 22, 'h': 2, 'x': 0, 'y': 0, 'plane': 0, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 16, 'plane_origin': 59, 'word_column': 0, 'bit_index': 15, 'mask': 32768, 'address': 59, 'last_word_mask': 64512}), ({'w': 23, 'h': 3, 'x': 1, 'y': 1, 'plane': 1, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 22, 'plane_origin': 81, 'word_column': 0, 'bit_index': 14, 'mask': 16384, 'address': 87, 'last_word_mask': 65024}), ({'w': 24, 'h': 4, 'x': 15, 'y': 2, 'plane': 2, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 28, 'plane_origin': 115, 'word_column': 0, 'bit_index': 0, 'mask': 1, 'address': 127, 'last_word_mask': 65280}), ({'w': 25, 'h': 5, 'x': 16, 'y': 3, 'plane': 3, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 34, 'plane_origin': 161, 'word_column': 1, 'bit_index': 15, 'mask': 32768, 'address': 181, 'last_word_mask': 65408}), ({'w': 26, 'h': 6, 'x': 17, 'y': 4, 'plane': 0, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 40, 'plane_origin': 59, 'word_column': 1, 'bit_index': 14, 'mask': 16384, 'address': 85, 'last_word_mask': 65472}), ({'w': 27, 'h': 7, 'x': 18, 'y': 5, 'plane': 1, 'base': 55}, {'words': 2, 'row_words': 3, 'row_bytes': 6, 'plane_bytes': 46, 'plane_origin': 105, 'word_column': 1, 'bit_index': 13, 'mask': 8192, 'address': 137, 'last_word_mask': 65504})]}
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)

prompt:
The returned physical layout descriptor disagrees with the declared buffer mapping at word_column.

A four-plane bitmap uses sixteen-bit words, most-significant-bit-first pixels, independent plane headers, and plane-major storage. Each row contains an extra sentinel word. Return word location and update mask without decoding colors. Return the named intermediate layout descriptor and final address fields; all quantities are integer byte offsets unless explicitly stated.

split: open-access