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FA-36031 / Tab interfaces / Open access

Unpin restoration: remaining pin prefix · case 01

The tab workspace reports an incorrect remaining pin prefix.

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

ROOT CAUSE

The remaining pin prefix decision uses x['pins'] instead of [t for t in x['pins'] if t!=x['unpin']].

VERIFIED REPAIR

Use the stipulated workspace rule: [t for t in x['pins'] if t!=x['unpin']].

Unsuccessful approach: The partial repair [] still violates a workspace boundary or normal case.

Case contract

Unpin restores a tab after the remaining pin prefix at its saved unpinned rank, clamps rank to the current normal partition and restores surviving group membership.

Why this case matters

Offline tab/panel workspace behavior; no browser or desktop framework is emulated.

1 / The failure

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

N = 1
observations = []
def solve(x):
    r0 = x['pins']
    r1 = min(x['rank'],len(x['normal']))
    r2 = len(x['pins'])-1+min(x['rank'],len(x['normal']))
    r3 = x['normal'][:min(x['rank'],len(x['normal']))]+[x['unpin']]+x['normal'][min(x['rank'],len(x['normal'])):]
    r4 = x['saved_group'] if x['saved_group'] in x['groups'] else None
    r5 = len(x['pins'])-1
    return [r0,r1,r2,r3,r4,r5]
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = {1: [({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c'], 'unpin': 'p', 'rank': 0, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p', 'a', 'b', 'c'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c'], 'unpin': 'p', 'rank': 9, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 3, 4, ['a', 'b', 'c', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': [], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c'], None, 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c'], 'unpin': 'q', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['p'], 2, 3, ['a', 'b', 'q', 'c'], 'g', 1])], 2: [({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0'], 'unpin': 'p', 'rank': 0, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p', 'a', 'b', 'c', 'extra0'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0'], 'unpin': 'p', 'rank': 9, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 4, 5, ['a', 'b', 'c', 'extra0', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['extra0'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 1, 2, ['extra0', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0'], None, 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0'], 'unpin': 'q', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['p'], 2, 3, ['a', 'b', 'q', 'c', 'extra0'], 'g', 1])], 3: [({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1'], 'unpin': 'p', 'rank': 0, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p', 'a', 'b', 'c', 'extra0', 'extra1'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1'], 'unpin': 'p', 'rank': 9, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 5, 6, ['a', 'b', 'c', 'extra0', 'extra1', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['extra0', 'extra1'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['extra0', 'extra1', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1'], None, 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1'], 'unpin': 'q', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['p'], 2, 3, ['a', 'b', 'q', 'c', 'extra0', 'extra1'], 'g', 1])], 4: [({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1', 'extra2'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'unpin': 'p', 'rank': 0, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p', 'a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'unpin': 'p', 'rank': 9, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 6, 7, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['extra0', 'extra1', 'extra2'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['extra0', 'extra1', 'p', 'extra2'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1', 'extra2'], None, 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'unpin': 'q', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['p'], 2, 3, ['a', 'b', 'q', 'c', 'extra0', 'extra1', 'extra2'], 'g', 1])], 5: [({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'p', 'rank': 0, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p', 'a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'p', 'rank': 9, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 7, 8, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['extra0', 'extra1', 'p', 'extra2', 'extra3'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], None, 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'q', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['p'], 2, 3, ['a', 'b', 'q', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'g', 1])]}
for i, (inputs, expected) in enumerate(fixtures[N]):
    check("workspace regression "+str(i), solve(inputs), 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
workspace regression 0[['p', 'q'], 2, 3, ['a', 'b', 'p', 'c'], 'g', 1][['q'], 2, 3, ['a', 'b', 'p', 'c'], 'g', 1]Failed
workspace regression 1[['p', 'q'], 0, 1, ['p', 'a', 'b', 'c'], 'g', 1][['q'], 0, 1, ['p', 'a', 'b', 'c'], 'g', 1]Failed
workspace regression 2[['p', 'q'], 3, 4, ['a', 'b', 'c', 'p'], 'g', 1][['q'], 3, 4, ['a', 'b', 'c', 'p'], 'g', 1]Failed
workspace regression 3[['p', 'q'], 0, 1, ['p'], 'g', 1][['q'], 0, 1, ['p'], 'g', 1]Failed
workspace regression 4[['p', 'q'], 2, 3, ['a', 'b', 'p', 'c'], None, 1][['q'], 2, 3, ['a', 'b', 'p', 'c'], None, 1]Failed
workspace regression 5[['p', 'q'], 2, 3, ['a', 'b', 'q', 'c'], 'g', 1][['p'], 2, 3, ['a', 'b', 'q', 'c'], 'g', 1]Failed

SHA-256 / 7bcdd3c194e3a301c1b7d366044e0d1c98b52c5c954a12f3559e7adfa14710ac

2 / The unsuccessful fix

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

N = 1
observations = []
def solve(x):
    r0 = []
    r1 = min(x['rank'],len(x['normal']))
    r2 = len(x['pins'])-1+min(x['rank'],len(x['normal']))
    r3 = x['normal'][:min(x['rank'],len(x['normal']))]+[x['unpin']]+x['normal'][min(x['rank'],len(x['normal'])):]
    r4 = x['saved_group'] if x['saved_group'] in x['groups'] else None
    r5 = len(x['pins'])-1
    return [r0,r1,r2,r3,r4,r5]
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = {1: [({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c'], 'unpin': 'p', 'rank': 0, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p', 'a', 'b', 'c'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c'], 'unpin': 'p', 'rank': 9, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 3, 4, ['a', 'b', 'c', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': [], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c'], None, 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c'], 'unpin': 'q', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['p'], 2, 3, ['a', 'b', 'q', 'c'], 'g', 1])], 2: [({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0'], 'unpin': 'p', 'rank': 0, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p', 'a', 'b', 'c', 'extra0'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0'], 'unpin': 'p', 'rank': 9, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 4, 5, ['a', 'b', 'c', 'extra0', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['extra0'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 1, 2, ['extra0', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0'], None, 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0'], 'unpin': 'q', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['p'], 2, 3, ['a', 'b', 'q', 'c', 'extra0'], 'g', 1])], 3: [({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1'], 'unpin': 'p', 'rank': 0, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p', 'a', 'b', 'c', 'extra0', 'extra1'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1'], 'unpin': 'p', 'rank': 9, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 5, 6, ['a', 'b', 'c', 'extra0', 'extra1', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['extra0', 'extra1'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['extra0', 'extra1', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1'], None, 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1'], 'unpin': 'q', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['p'], 2, 3, ['a', 'b', 'q', 'c', 'extra0', 'extra1'], 'g', 1])], 4: [({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1', 'extra2'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'unpin': 'p', 'rank': 0, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p', 'a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'unpin': 'p', 'rank': 9, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 6, 7, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['extra0', 'extra1', 'extra2'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['extra0', 'extra1', 'p', 'extra2'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1', 'extra2'], None, 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'unpin': 'q', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['p'], 2, 3, ['a', 'b', 'q', 'c', 'extra0', 'extra1', 'extra2'], 'g', 1])], 5: [({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'p', 'rank': 0, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p', 'a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'p', 'rank': 9, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 7, 8, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['extra0', 'extra1', 'p', 'extra2', 'extra3'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], None, 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'q', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['p'], 2, 3, ['a', 'b', 'q', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'g', 1])]}
for i, (inputs, expected) in enumerate(fixtures[N]):
    check("workspace regression "+str(i), solve(inputs), 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
workspace regression 0[[], 2, 3, ['a', 'b', 'p', 'c'], 'g', 1][['q'], 2, 3, ['a', 'b', 'p', 'c'], 'g', 1]Failed
workspace regression 1[[], 0, 1, ['p', 'a', 'b', 'c'], 'g', 1][['q'], 0, 1, ['p', 'a', 'b', 'c'], 'g', 1]Failed
workspace regression 2[[], 3, 4, ['a', 'b', 'c', 'p'], 'g', 1][['q'], 3, 4, ['a', 'b', 'c', 'p'], 'g', 1]Failed
workspace regression 3[[], 0, 1, ['p'], 'g', 1][['q'], 0, 1, ['p'], 'g', 1]Failed
workspace regression 4[[], 2, 3, ['a', 'b', 'p', 'c'], None, 1][['q'], 2, 3, ['a', 'b', 'p', 'c'], None, 1]Failed
workspace regression 5[[], 2, 3, ['a', 'b', 'q', 'c'], 'g', 1][['p'], 2, 3, ['a', 'b', 'q', 'c'], 'g', 1]Failed

SHA-256 / 51ddbec13ac9783e7a23a592b88e039dfa292d3aad2a4faed02b8541fe87d5a7

3 / The verified repair

Exit 0
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(x):
    r0 = [t for t in x['pins'] if t!=x['unpin']]
    r1 = min(x['rank'],len(x['normal']))
    r2 = len(x['pins'])-1+min(x['rank'],len(x['normal']))
    r3 = x['normal'][:min(x['rank'],len(x['normal']))]+[x['unpin']]+x['normal'][min(x['rank'],len(x['normal'])):]
    r4 = x['saved_group'] if x['saved_group'] in x['groups'] else None
    r5 = len(x['pins'])-1
    return [r0,r1,r2,r3,r4,r5]
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = {1: [({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c'], 'unpin': 'p', 'rank': 0, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p', 'a', 'b', 'c'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c'], 'unpin': 'p', 'rank': 9, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 3, 4, ['a', 'b', 'c', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': [], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c'], None, 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c'], 'unpin': 'q', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['p'], 2, 3, ['a', 'b', 'q', 'c'], 'g', 1])], 2: [({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0'], 'unpin': 'p', 'rank': 0, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p', 'a', 'b', 'c', 'extra0'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0'], 'unpin': 'p', 'rank': 9, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 4, 5, ['a', 'b', 'c', 'extra0', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['extra0'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 1, 2, ['extra0', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0'], None, 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0'], 'unpin': 'q', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['p'], 2, 3, ['a', 'b', 'q', 'c', 'extra0'], 'g', 1])], 3: [({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1'], 'unpin': 'p', 'rank': 0, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p', 'a', 'b', 'c', 'extra0', 'extra1'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1'], 'unpin': 'p', 'rank': 9, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 5, 6, ['a', 'b', 'c', 'extra0', 'extra1', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['extra0', 'extra1'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['extra0', 'extra1', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1'], None, 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1'], 'unpin': 'q', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['p'], 2, 3, ['a', 'b', 'q', 'c', 'extra0', 'extra1'], 'g', 1])], 4: [({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1', 'extra2'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'unpin': 'p', 'rank': 0, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p', 'a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'unpin': 'p', 'rank': 9, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 6, 7, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['extra0', 'extra1', 'extra2'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['extra0', 'extra1', 'p', 'extra2'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1', 'extra2'], None, 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'unpin': 'q', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['p'], 2, 3, ['a', 'b', 'q', 'c', 'extra0', 'extra1', 'extra2'], 'g', 1])], 5: [({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'p', 'rank': 0, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p', 'a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'p', 'rank': 9, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 7, 8, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['extra0', 'extra1', 'p', 'extra2', 'extra3'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], None, 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'q', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['p'], 2, 3, ['a', 'b', 'q', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'g', 1])]}
for i, (inputs, expected) in enumerate(fixtures[N]):
    check("workspace regression "+str(i), solve(inputs), 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
workspace regression 0[['q'], 2, 3, ['a', 'b', 'p', 'c'], 'g', 1][['q'], 2, 3, ['a', 'b', 'p', 'c'], 'g', 1]Passed
workspace regression 1[['q'], 0, 1, ['p', 'a', 'b', 'c'], 'g', 1][['q'], 0, 1, ['p', 'a', 'b', 'c'], 'g', 1]Passed
workspace regression 2[['q'], 3, 4, ['a', 'b', 'c', 'p'], 'g', 1][['q'], 3, 4, ['a', 'b', 'c', 'p'], 'g', 1]Passed
workspace regression 3[['q'], 0, 1, ['p'], 'g', 1][['q'], 0, 1, ['p'], 'g', 1]Passed
workspace regression 4[['q'], 2, 3, ['a', 'b', 'p', 'c'], None, 1][['q'], 2, 3, ['a', 'b', 'p', 'c'], None, 1]Passed
workspace regression 5[['p'], 2, 3, ['a', 'b', 'q', 'c'], 'g', 1][['p'], 2, 3, ['a', 'b', 'q', 'c'], 'g', 1]Passed

SHA-256 / 8448d4219d7dddba55403fee9e8f51f14d563a6823c1cec56288ebed8a6b6345

Verification & scope

Finite stipulated workspace snapshots only. Independent result fields describe observable obligations, not a full UI runtime. 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 2026-09-29T14:42:47.223209+00:00.

Case digest / 62c108c18b14646c9f29b1793e2c7cb09bf9dee3130e1abbe57afaf19cf9a13e