FA-36046 / Tab interfaces / Open access
Unpin restoration: normal partition insertion · case 01
The tab workspace reports an incorrect normal partition insertion.
ROOT CAUSE
The normal partition insertion decision uses [x['unpin']]+x['normal'] instead of x['normal'][:min(x['rank'],len(x['normal']))]+[x['unpin']]+x['normal'][min(x['rank'],len(x['normal'])):].
VERIFIED REPAIR
Use the stipulated workspace rule: x['normal'][:min(x['rank'],len(x['normal']))]+[x['unpin']]+x['normal'][min(x['rank'],len(x['normal'])):].
Unsuccessful approach: The partial repair x['normal']+[x['unpin']] 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 = [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['unpin']]+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 fixture | Actual | Expected | Outcome |
|---|---|---|---|
| workspace regression 0 | [['q'], 2, 3, ['p', 'a', 'b', 'c'], 'g', 1] | [['q'], 2, 3, ['a', 'b', 'p', 'c'], 'g', 1] | Failed |
| 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, ['p', 'a', 'b', 'c'], 'g', 1] | [['q'], 3, 4, ['a', 'b', 'c', 'p'], 'g', 1] | Failed |
| workspace regression 3 | [['q'], 0, 1, ['p'], 'g', 1] | [['q'], 0, 1, ['p'], 'g', 1] | Passed |
| workspace regression 4 | [['q'], 2, 3, ['p', 'a', 'b', 'c'], None, 1] | [['q'], 2, 3, ['a', 'b', 'p', 'c'], None, 1] | Failed |
| workspace regression 5 | [['p'], 2, 3, ['q', 'a', 'b', 'c'], 'g', 1] | [['p'], 2, 3, ['a', 'b', 'q', 'c'], 'g', 1] | Failed |
SHA-256 / 7ac2ccc644e47d713baddb5b7d612dcadb4eaa47e131c15d8c1106601222965b
2 / The unsuccessful fix
Exit 1"""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']+[x['unpin']]
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 fixture | Actual | Expected | Outcome |
|---|---|---|---|
| workspace regression 0 | [['q'], 2, 3, ['a', 'b', 'c', 'p'], 'g', 1] | [['q'], 2, 3, ['a', 'b', 'p', 'c'], 'g', 1] | Failed |
| workspace regression 1 | [['q'], 0, 1, ['a', 'b', 'c', 'p'], 'g', 1] | [['q'], 0, 1, ['p', 'a', 'b', 'c'], 'g', 1] | Failed |
| 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', 'c', 'p'], None, 1] | [['q'], 2, 3, ['a', 'b', 'p', 'c'], None, 1] | Failed |
| workspace regression 5 | [['p'], 2, 3, ['a', 'b', 'c', 'q'], 'g', 1] | [['p'], 2, 3, ['a', 'b', 'q', 'c'], 'g', 1] | Failed |
SHA-256 / ddd60214a6ff3b5d65b0a265187909da94c20d2f5dc8bf94d51395a43a01ce4f
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 fixture | Actual | Expected | Outcome |
|---|---|---|---|
| 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 2026-09-29T14:42:47.448846+00:00.
Case digest / ed0541267d59a4fd601085105a6d940411843069464321eaddcd81a136b086e9