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FA-97696 / Knitting and sewing pattern grading / Open access

Full and small bust adjustment: cup banding · case 01

A 4 cm difference is called a B cup instead of an A cup.

Verified by executionVariant 1 · 8 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

The cup index rounds to nearest instead of flooring.

VERIFIED REPAIR

Floor the difference into 2.5 cm cup bands.

Unsuccessful approach: Ceiling moves every partial band up a cup.

Case contract

d = full - high bust (cm); negative -> "error: measurements". Cup index = floor(d/2.5) capped at the last of AA, A, B, C, D, DD, E. delta = index - index(drafted_cup). kind "none", "FBA" (delta > 0) or "SBA". Total adjustment 2.5 cm per cup, per side = total/2; if per side > 4 cm append " (redraft)". Return [cup, kind, per_side float].

Why this case matters

Sewists compare their cup size to the pattern draft cup and perform full or small bust adjustments.

1 / The failure

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json
import math
from fractions import Fraction
N = 1
observations = []
def solve(high_bust, full_bust, drafted_cup):
    CUPS = ['AA', 'A', 'B', 'C', 'D', 'DD', 'E']
    d = Fraction(str(full_bust)) - Fraction(str(high_bust))
    if d < 0:
        return 'error: measurements'
    idx = min(math.floor(d / Fraction(5, 2) + Fraction(1, 2)), len(CUPS) - 1)
    cup = CUPS[idx]
    delta = idx - CUPS.index(drafted_cup)
    total = Fraction(5, 2) * abs(delta)
    per = total / 2
    kind = 'none' if delta == 0 else 'FBA' if delta > 0 else 'SBA'
    if per > 4:
        kind += ' (redraft)'
    return [cup, kind, float(per)]
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['matches draft', [88, 93, 'B'], ['B', 'none', 0.0]],
  ['big FBA', [84, 101, 'B'], ['E', 'FBA (redraft)', 5.0]],
  ['small bust', [92.5, 94, 'C'], ['AA', 'SBA', 3.75]],
  ['regression: cup banding', [92.5, 96.5, 'A'], ['A', 'none', 0.0]],
  ['repair check: cup banding', [92.5, 96.5, 'D'], ['A', 'SBA', 3.75]],
  ['generated control 1', [96, 106, 'D'], ['D', 'none', 0.0]],
  ['generated control 2', [96, 103.5, 'D'], ['C', 'SBA', 1.25]],
  ['generated control 3', [84, 89, 'C'], ['B', 'SBA', 1.25]]],
 [['big FBA', [84, 101, 'B'], ['E', 'FBA (redraft)', 5.0]],
  ['small bust', [92.5, 94, 'C'], ['AA', 'SBA', 3.75]],
  ['negative difference', [90, 89, 'B'], 'error: measurements'],
  ['regression: cup banding', [96, 105, 'B'], ['C', 'FBA', 1.25]],
  ['repair check: cup banding', [92.5, 93.5, 'A'], ['AA', 'SBA', 1.25]],
  ['generated control 1', [92.5, 112.5, 'D'], ['E', 'FBA', 2.5]],
  ['generated control 2', [80, 81, 'D'], ['AA', 'SBA (redraft)', 5.0]],
  ['generated control 3', [88, 89, 'C'], ['AA', 'SBA', 3.75]]],
 [['small bust', [92.5, 94, 'C'], ['AA', 'SBA', 3.75]],
  ['negative difference', [90, 89, 'B'], 'error: measurements'],
  ['matches draft', [88, 93, 'B'], ['B', 'none', 0.0]],
  ['regression: cup banding', [88, 97, 'A'], ['C', 'FBA', 2.5]],
  ['repair check: cup banding', [84, 88, 'A'], ['A', 'none', 0.0]],
  ['generated control 1', [96, 106, 'D'], ['D', 'none', 0.0]],
  ['generated control 2', [92.5, 112.5, 'C'], ['E', 'FBA', 3.75]],
  ['generated control 3', [96, 103.5, 'B'], ['C', 'FBA', 1.25]]],
 [['negative difference', [90, 89, 'B'], 'error: measurements'],
  ['matches draft', [88, 93, 'B'], ['B', 'none', 0.0]],
  ['big FBA', [84, 101, 'B'], ['E', 'FBA (redraft)', 5.0]],
  ['regression: cup banding', [84, 88, 'B'], ['A', 'SBA', 1.25]],
  ['repair check: cup banding', [88, 89, 'B'], ['AA', 'SBA', 2.5]],
  ['generated control 1', [92.5, 95.0, 'D'], ['A', 'SBA', 3.75]],
  ['generated control 2', [92.5, 102.5, 'D'], ['D', 'none', 0.0]],
  ['generated control 3', [92.5, 110.0, 'B'], ['E', 'FBA (redraft)', 5.0]]],
 [['matches draft', [88, 93, 'B'], ['B', 'none', 0.0]],
  ['big FBA', [84, 101, 'B'], ['E', 'FBA (redraft)', 5.0]],
  ['small bust', [92.5, 94, 'C'], ['AA', 'SBA', 3.75]],
  ['regression: cup banding', [96, 105, 'B'], ['C', 'FBA', 1.25]],
  ['repair check: cup banding', [84, 85, 'A'], ['AA', 'SBA', 1.25]],
  ['generated control 1', [92.5, 100.0, 'A'], ['C', 'FBA', 2.5]],
  ['generated control 2', [80, 80, 'A'], ['AA', 'SBA', 1.25]],
  ['generated control 3', [84, 84, 'B'], ['AA', 'SBA', 2.5]]]]
for label, args, expected in fixtures[N - 1]:
    check(label, solve(*args), 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
matches draft['B', 'none', 0.0]['B', 'none', 0.0]Passed
big FBA['E', 'FBA (redraft)', 5.0]['E', 'FBA (redraft)', 5.0]Passed
small bust['A', 'SBA', 2.5]['AA', 'SBA', 3.75]Failed
regression: cup banding['B', 'FBA', 1.25]['A', 'none', 0.0]Failed
repair check: cup banding['B', 'SBA', 2.5]['A', 'SBA', 3.75]Failed
generated control 1['D', 'none', 0.0]['D', 'none', 0.0]Passed
generated control 2['C', 'SBA', 1.25]['C', 'SBA', 1.25]Passed
generated control 3['B', 'SBA', 1.25]['B', 'SBA', 1.25]Passed

SHA-256 / 7eb7051e3c557e5d20bff8f9e4e661b34fb0aeb08beb005f505f6f01977c6c2e

2 / The unsuccessful fix

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json
import math
from fractions import Fraction
N = 1
observations = []
def solve(high_bust, full_bust, drafted_cup):
    CUPS = ['AA', 'A', 'B', 'C', 'D', 'DD', 'E']
    d = Fraction(str(full_bust)) - Fraction(str(high_bust))
    if d < 0:
        return 'error: measurements'
    idx = min(math.ceil(d / Fraction(5, 2)), len(CUPS) - 1)
    cup = CUPS[idx]
    delta = idx - CUPS.index(drafted_cup)
    total = Fraction(5, 2) * abs(delta)
    per = total / 2
    kind = 'none' if delta == 0 else 'FBA' if delta > 0 else 'SBA'
    if per > 4:
        kind += ' (redraft)'
    return [cup, kind, float(per)]
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['matches draft', [88, 93, 'B'], ['B', 'none', 0.0]],
  ['big FBA', [84, 101, 'B'], ['E', 'FBA (redraft)', 5.0]],
  ['small bust', [92.5, 94, 'C'], ['AA', 'SBA', 3.75]],
  ['regression: cup banding', [92.5, 96.5, 'A'], ['A', 'none', 0.0]],
  ['repair check: cup banding', [92.5, 96.5, 'D'], ['A', 'SBA', 3.75]],
  ['generated control 1', [96, 106, 'D'], ['D', 'none', 0.0]],
  ['generated control 2', [96, 103.5, 'D'], ['C', 'SBA', 1.25]],
  ['generated control 3', [84, 89, 'C'], ['B', 'SBA', 1.25]]],
 [['big FBA', [84, 101, 'B'], ['E', 'FBA (redraft)', 5.0]],
  ['small bust', [92.5, 94, 'C'], ['AA', 'SBA', 3.75]],
  ['negative difference', [90, 89, 'B'], 'error: measurements'],
  ['regression: cup banding', [96, 105, 'B'], ['C', 'FBA', 1.25]],
  ['repair check: cup banding', [92.5, 93.5, 'A'], ['AA', 'SBA', 1.25]],
  ['generated control 1', [92.5, 112.5, 'D'], ['E', 'FBA', 2.5]],
  ['generated control 2', [80, 81, 'D'], ['AA', 'SBA (redraft)', 5.0]],
  ['generated control 3', [88, 89, 'C'], ['AA', 'SBA', 3.75]]],
 [['small bust', [92.5, 94, 'C'], ['AA', 'SBA', 3.75]],
  ['negative difference', [90, 89, 'B'], 'error: measurements'],
  ['matches draft', [88, 93, 'B'], ['B', 'none', 0.0]],
  ['regression: cup banding', [88, 97, 'A'], ['C', 'FBA', 2.5]],
  ['repair check: cup banding', [84, 88, 'A'], ['A', 'none', 0.0]],
  ['generated control 1', [96, 106, 'D'], ['D', 'none', 0.0]],
  ['generated control 2', [92.5, 112.5, 'C'], ['E', 'FBA', 3.75]],
  ['generated control 3', [96, 103.5, 'B'], ['C', 'FBA', 1.25]]],
 [['negative difference', [90, 89, 'B'], 'error: measurements'],
  ['matches draft', [88, 93, 'B'], ['B', 'none', 0.0]],
  ['big FBA', [84, 101, 'B'], ['E', 'FBA (redraft)', 5.0]],
  ['regression: cup banding', [84, 88, 'B'], ['A', 'SBA', 1.25]],
  ['repair check: cup banding', [88, 89, 'B'], ['AA', 'SBA', 2.5]],
  ['generated control 1', [92.5, 95.0, 'D'], ['A', 'SBA', 3.75]],
  ['generated control 2', [92.5, 102.5, 'D'], ['D', 'none', 0.0]],
  ['generated control 3', [92.5, 110.0, 'B'], ['E', 'FBA (redraft)', 5.0]]],
 [['matches draft', [88, 93, 'B'], ['B', 'none', 0.0]],
  ['big FBA', [84, 101, 'B'], ['E', 'FBA (redraft)', 5.0]],
  ['small bust', [92.5, 94, 'C'], ['AA', 'SBA', 3.75]],
  ['regression: cup banding', [96, 105, 'B'], ['C', 'FBA', 1.25]],
  ['repair check: cup banding', [84, 85, 'A'], ['AA', 'SBA', 1.25]],
  ['generated control 1', [92.5, 100.0, 'A'], ['C', 'FBA', 2.5]],
  ['generated control 2', [80, 80, 'A'], ['AA', 'SBA', 1.25]],
  ['generated control 3', [84, 84, 'B'], ['AA', 'SBA', 2.5]]]]
for label, args, expected in fixtures[N - 1]:
    check(label, solve(*args), 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
matches draft['B', 'none', 0.0]['B', 'none', 0.0]Passed
big FBA['E', 'FBA (redraft)', 5.0]['E', 'FBA (redraft)', 5.0]Passed
small bust['A', 'SBA', 2.5]['AA', 'SBA', 3.75]Failed
regression: cup banding['B', 'FBA', 1.25]['A', 'none', 0.0]Failed
repair check: cup banding['B', 'SBA', 2.5]['A', 'SBA', 3.75]Failed
generated control 1['D', 'none', 0.0]['D', 'none', 0.0]Passed
generated control 2['C', 'SBA', 1.25]['C', 'SBA', 1.25]Passed
generated control 3['B', 'SBA', 1.25]['B', 'SBA', 1.25]Passed

SHA-256 / 9bfebd87c57eaaf9f44d7ccca3990419f822a2ef99b9391571afcb34b5d5e1d1

3 / The verified repair

Exit 0
"""Failure Map reference implementation. Python standard library only."""
import json
import math
from fractions import Fraction
N = 1
observations = []
def solve(high_bust, full_bust, drafted_cup):
    CUPS = ['AA', 'A', 'B', 'C', 'D', 'DD', 'E']
    d = Fraction(str(full_bust)) - Fraction(str(high_bust))
    if d < 0:
        return 'error: measurements'
    idx = min(math.floor(d / Fraction(5, 2)), len(CUPS) - 1)
    cup = CUPS[idx]
    delta = idx - CUPS.index(drafted_cup)
    total = Fraction(5, 2) * abs(delta)
    per = total / 2
    kind = 'none' if delta == 0 else 'FBA' if delta > 0 else 'SBA'
    if per > 4:
        kind += ' (redraft)'
    return [cup, kind, float(per)]
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['matches draft', [88, 93, 'B'], ['B', 'none', 0.0]],
  ['big FBA', [84, 101, 'B'], ['E', 'FBA (redraft)', 5.0]],
  ['small bust', [92.5, 94, 'C'], ['AA', 'SBA', 3.75]],
  ['regression: cup banding', [92.5, 96.5, 'A'], ['A', 'none', 0.0]],
  ['repair check: cup banding', [92.5, 96.5, 'D'], ['A', 'SBA', 3.75]],
  ['generated control 1', [96, 106, 'D'], ['D', 'none', 0.0]],
  ['generated control 2', [96, 103.5, 'D'], ['C', 'SBA', 1.25]],
  ['generated control 3', [84, 89, 'C'], ['B', 'SBA', 1.25]]],
 [['big FBA', [84, 101, 'B'], ['E', 'FBA (redraft)', 5.0]],
  ['small bust', [92.5, 94, 'C'], ['AA', 'SBA', 3.75]],
  ['negative difference', [90, 89, 'B'], 'error: measurements'],
  ['regression: cup banding', [96, 105, 'B'], ['C', 'FBA', 1.25]],
  ['repair check: cup banding', [92.5, 93.5, 'A'], ['AA', 'SBA', 1.25]],
  ['generated control 1', [92.5, 112.5, 'D'], ['E', 'FBA', 2.5]],
  ['generated control 2', [80, 81, 'D'], ['AA', 'SBA (redraft)', 5.0]],
  ['generated control 3', [88, 89, 'C'], ['AA', 'SBA', 3.75]]],
 [['small bust', [92.5, 94, 'C'], ['AA', 'SBA', 3.75]],
  ['negative difference', [90, 89, 'B'], 'error: measurements'],
  ['matches draft', [88, 93, 'B'], ['B', 'none', 0.0]],
  ['regression: cup banding', [88, 97, 'A'], ['C', 'FBA', 2.5]],
  ['repair check: cup banding', [84, 88, 'A'], ['A', 'none', 0.0]],
  ['generated control 1', [96, 106, 'D'], ['D', 'none', 0.0]],
  ['generated control 2', [92.5, 112.5, 'C'], ['E', 'FBA', 3.75]],
  ['generated control 3', [96, 103.5, 'B'], ['C', 'FBA', 1.25]]],
 [['negative difference', [90, 89, 'B'], 'error: measurements'],
  ['matches draft', [88, 93, 'B'], ['B', 'none', 0.0]],
  ['big FBA', [84, 101, 'B'], ['E', 'FBA (redraft)', 5.0]],
  ['regression: cup banding', [84, 88, 'B'], ['A', 'SBA', 1.25]],
  ['repair check: cup banding', [88, 89, 'B'], ['AA', 'SBA', 2.5]],
  ['generated control 1', [92.5, 95.0, 'D'], ['A', 'SBA', 3.75]],
  ['generated control 2', [92.5, 102.5, 'D'], ['D', 'none', 0.0]],
  ['generated control 3', [92.5, 110.0, 'B'], ['E', 'FBA (redraft)', 5.0]]],
 [['matches draft', [88, 93, 'B'], ['B', 'none', 0.0]],
  ['big FBA', [84, 101, 'B'], ['E', 'FBA (redraft)', 5.0]],
  ['small bust', [92.5, 94, 'C'], ['AA', 'SBA', 3.75]],
  ['regression: cup banding', [96, 105, 'B'], ['C', 'FBA', 1.25]],
  ['repair check: cup banding', [84, 85, 'A'], ['AA', 'SBA', 1.25]],
  ['generated control 1', [92.5, 100.0, 'A'], ['C', 'FBA', 2.5]],
  ['generated control 2', [80, 80, 'A'], ['AA', 'SBA', 1.25]],
  ['generated control 3', [84, 84, 'B'], ['AA', 'SBA', 2.5]]]]
for label, args, expected in fixtures[N - 1]:
    check(label, solve(*args), 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
matches draft['B', 'none', 0.0]['B', 'none', 0.0]Passed
big FBA['E', 'FBA (redraft)', 5.0]['E', 'FBA (redraft)', 5.0]Passed
small bust['AA', 'SBA', 3.75]['AA', 'SBA', 3.75]Passed
regression: cup banding['A', 'none', 0.0]['A', 'none', 0.0]Passed
repair check: cup banding['A', 'SBA', 3.75]['A', 'SBA', 3.75]Passed
generated control 1['D', 'none', 0.0]['D', 'none', 0.0]Passed
generated control 2['C', 'SBA', 1.25]['C', 'SBA', 1.25]Passed
generated control 3['B', 'SBA', 1.25]['B', 'SBA', 1.25]Passed

SHA-256 / 718986fb7abf4c66a52de37092b21e419008904c837e827e10a5968eedc16b0d

Verification & scope

A deterministic toy contract stated in full here; it is a bounded teaching model, not an authoritative reference or standards implementation. 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 2026-09-29T14:52:34.678977+00:00.

Case digest / 79e074fb206e0ea908b3391e0df50c81b5f78d43dfa802695e432a15a2d1029e