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FA-35951 / Tab interfaces / Open access

Tab group collapse: dirty group indicator · case 01

The tab workspace reports an incorrect dirty group indicator.

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

ROOT CAUSE

The dirty group indicator decision uses len(x['dirty']) if not x['collapsed'] else 0 instead of sum(t in x['dirty'] for t in x['members']).

THE FAILURE

The dirty group indicator decision uses len(x['dirty']) if not x['collapsed'] else 0 instead of sum(t in x['dirty'] for t in x['members']).

Unsuccessful approach: The partial repair int(any(t in x['dirty'] for t in x['members'])) still violates a workspace boundary or normal case.

Case contract

Collapsed tab groups display only a header and active member placeholder; preserve membership, count dirty documents and expand before revealing an inactive member.

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['active']] if x['active'] in x['members'] else []) if x['collapsed'] else x['members']
    r1 = len(x['members'])
    r2 = len(x['dirty']) if not x['collapsed'] else 0
    r3 = x['active'] if x['collapsed'] and x['active'] in x['members'] else None
    r4 = x['collapsed'] and x['reveal'] in x['members'] and x['reveal']!=x['active']
    r5 = x['members']
    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: [({'members': ['a', 'b', 'c'], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [['b'], 3, 2, 'b', True, ['a', 'b', 'c']]), ({'members': ['a', 'b', 'c'], 'active': 'b', 'collapsed': False, 'dirty': ['a', 'c'], 'reveal': 'c'}, [['a', 'b', 'c'], 3, 2, None, False, ['a', 'b', 'c']]), ({'members': ['a', 'b', 'c'], 'active': 'z', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [[], 3, 2, None, True, ['a', 'b', 'c']]), ({'members': ['a', 'b', 'c'], 'active': 'b', 'collapsed': True, 'dirty': [], 'reveal': 'c'}, [['b'], 3, 0, 'b', True, ['a', 'b', 'c']]), ({'members': ['a', 'b', 'c'], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'b'}, [['b'], 3, 2, 'b', False, ['a', 'b', 'c']]), ({'members': [], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [[], 0, 0, None, False, []])], 2: [({'members': ['a', 'b', 'c', 'extra0'], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [['b'], 4, 2, 'b', True, ['a', 'b', 'c', 'extra0']]), ({'members': ['a', 'b', 'c', 'extra0'], 'active': 'b', 'collapsed': False, 'dirty': ['a', 'c'], 'reveal': 'c'}, [['a', 'b', 'c', 'extra0'], 4, 2, None, False, ['a', 'b', 'c', 'extra0']]), ({'members': ['a', 'b', 'c', 'extra0'], 'active': 'z', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [[], 4, 2, None, True, ['a', 'b', 'c', 'extra0']]), ({'members': ['a', 'b', 'c', 'extra0'], 'active': 'b', 'collapsed': True, 'dirty': [], 'reveal': 'c'}, [['b'], 4, 0, 'b', True, ['a', 'b', 'c', 'extra0']]), ({'members': ['a', 'b', 'c', 'extra0'], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'b'}, [['b'], 4, 2, 'b', False, ['a', 'b', 'c', 'extra0']]), ({'members': ['extra0'], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [[], 1, 0, None, False, ['extra0']])], 3: [({'members': ['a', 'b', 'c', 'extra0', 'extra1'], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [['b'], 5, 2, 'b', True, ['a', 'b', 'c', 'extra0', 'extra1']]), ({'members': ['a', 'b', 'c', 'extra0', 'extra1'], 'active': 'b', 'collapsed': False, 'dirty': ['a', 'c'], 'reveal': 'c'}, [['a', 'b', 'c', 'extra0', 'extra1'], 5, 2, None, False, ['a', 'b', 'c', 'extra0', 'extra1']]), ({'members': ['a', 'b', 'c', 'extra0', 'extra1'], 'active': 'z', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [[], 5, 2, None, True, ['a', 'b', 'c', 'extra0', 'extra1']]), ({'members': ['a', 'b', 'c', 'extra0', 'extra1'], 'active': 'b', 'collapsed': True, 'dirty': [], 'reveal': 'c'}, [['b'], 5, 0, 'b', True, ['a', 'b', 'c', 'extra0', 'extra1']]), ({'members': ['a', 'b', 'c', 'extra0', 'extra1'], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'b'}, [['b'], 5, 2, 'b', False, ['a', 'b', 'c', 'extra0', 'extra1']]), ({'members': ['extra0', 'extra1'], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [[], 2, 0, None, False, ['extra0', 'extra1']])], 4: [({'members': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [['b'], 6, 2, 'b', True, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2']]), ({'members': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'active': 'b', 'collapsed': False, 'dirty': ['a', 'c'], 'reveal': 'c'}, [['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 6, 2, None, False, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2']]), ({'members': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'active': 'z', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [[], 6, 2, None, True, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2']]), ({'members': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'active': 'b', 'collapsed': True, 'dirty': [], 'reveal': 'c'}, [['b'], 6, 0, 'b', True, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2']]), ({'members': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'b'}, [['b'], 6, 2, 'b', False, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2']]), ({'members': ['extra0', 'extra1', 'extra2'], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [[], 3, 0, None, False, ['extra0', 'extra1', 'extra2']])], 5: [({'members': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [['b'], 7, 2, 'b', True, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3']]), ({'members': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'active': 'b', 'collapsed': False, 'dirty': ['a', 'c'], 'reveal': 'c'}, [['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 7, 2, None, False, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3']]), ({'members': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'active': 'z', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [[], 7, 2, None, True, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3']]), ({'members': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'active': 'b', 'collapsed': True, 'dirty': [], 'reveal': 'c'}, [['b'], 7, 0, 'b', True, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3']]), ({'members': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'b'}, [['b'], 7, 2, 'b', False, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3']]), ({'members': ['extra0', 'extra1', 'extra2', 'extra3'], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [[], 4, 0, None, False, ['extra0', 'extra1', 'extra2', 'extra3']])]}
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[['b'], 3, 0, 'b', True, ['a', 'b', 'c']][['b'], 3, 2, 'b', True, ['a', 'b', 'c']]Failed
workspace regression 1[['a', 'b', 'c'], 3, 2, None, False, ['a', 'b', 'c']][['a', 'b', 'c'], 3, 2, None, False, ['a', 'b', 'c']]Passed
workspace regression 2[[], 3, 0, None, True, ['a', 'b', 'c']][[], 3, 2, None, True, ['a', 'b', 'c']]Failed
workspace regression 3[['b'], 3, 0, 'b', True, ['a', 'b', 'c']][['b'], 3, 0, 'b', True, ['a', 'b', 'c']]Passed
workspace regression 4[['b'], 3, 0, 'b', False, ['a', 'b', 'c']][['b'], 3, 2, 'b', False, ['a', 'b', 'c']]Failed
workspace regression 5[[], 0, 0, None, False, []][[], 0, 0, None, False, []]Passed

SHA-256 / d8003181ad62220beb507c86f2251f656d1ae168f811988107bc2bc15579297c

2 / The unsuccessful fix

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

N = 1
observations = []
def solve(x):
    r0 = ([x['active']] if x['active'] in x['members'] else []) if x['collapsed'] else x['members']
    r1 = len(x['members'])
    r2 = int(any(t in x['dirty'] for t in x['members']))
    r3 = x['active'] if x['collapsed'] and x['active'] in x['members'] else None
    r4 = x['collapsed'] and x['reveal'] in x['members'] and x['reveal']!=x['active']
    r5 = x['members']
    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: [({'members': ['a', 'b', 'c'], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [['b'], 3, 2, 'b', True, ['a', 'b', 'c']]), ({'members': ['a', 'b', 'c'], 'active': 'b', 'collapsed': False, 'dirty': ['a', 'c'], 'reveal': 'c'}, [['a', 'b', 'c'], 3, 2, None, False, ['a', 'b', 'c']]), ({'members': ['a', 'b', 'c'], 'active': 'z', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [[], 3, 2, None, True, ['a', 'b', 'c']]), ({'members': ['a', 'b', 'c'], 'active': 'b', 'collapsed': True, 'dirty': [], 'reveal': 'c'}, [['b'], 3, 0, 'b', True, ['a', 'b', 'c']]), ({'members': ['a', 'b', 'c'], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'b'}, [['b'], 3, 2, 'b', False, ['a', 'b', 'c']]), ({'members': [], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [[], 0, 0, None, False, []])], 2: [({'members': ['a', 'b', 'c', 'extra0'], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [['b'], 4, 2, 'b', True, ['a', 'b', 'c', 'extra0']]), ({'members': ['a', 'b', 'c', 'extra0'], 'active': 'b', 'collapsed': False, 'dirty': ['a', 'c'], 'reveal': 'c'}, [['a', 'b', 'c', 'extra0'], 4, 2, None, False, ['a', 'b', 'c', 'extra0']]), ({'members': ['a', 'b', 'c', 'extra0'], 'active': 'z', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [[], 4, 2, None, True, ['a', 'b', 'c', 'extra0']]), ({'members': ['a', 'b', 'c', 'extra0'], 'active': 'b', 'collapsed': True, 'dirty': [], 'reveal': 'c'}, [['b'], 4, 0, 'b', True, ['a', 'b', 'c', 'extra0']]), ({'members': ['a', 'b', 'c', 'extra0'], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'b'}, [['b'], 4, 2, 'b', False, ['a', 'b', 'c', 'extra0']]), ({'members': ['extra0'], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [[], 1, 0, None, False, ['extra0']])], 3: [({'members': ['a', 'b', 'c', 'extra0', 'extra1'], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [['b'], 5, 2, 'b', True, ['a', 'b', 'c', 'extra0', 'extra1']]), ({'members': ['a', 'b', 'c', 'extra0', 'extra1'], 'active': 'b', 'collapsed': False, 'dirty': ['a', 'c'], 'reveal': 'c'}, [['a', 'b', 'c', 'extra0', 'extra1'], 5, 2, None, False, ['a', 'b', 'c', 'extra0', 'extra1']]), ({'members': ['a', 'b', 'c', 'extra0', 'extra1'], 'active': 'z', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [[], 5, 2, None, True, ['a', 'b', 'c', 'extra0', 'extra1']]), ({'members': ['a', 'b', 'c', 'extra0', 'extra1'], 'active': 'b', 'collapsed': True, 'dirty': [], 'reveal': 'c'}, [['b'], 5, 0, 'b', True, ['a', 'b', 'c', 'extra0', 'extra1']]), ({'members': ['a', 'b', 'c', 'extra0', 'extra1'], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'b'}, [['b'], 5, 2, 'b', False, ['a', 'b', 'c', 'extra0', 'extra1']]), ({'members': ['extra0', 'extra1'], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [[], 2, 0, None, False, ['extra0', 'extra1']])], 4: [({'members': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [['b'], 6, 2, 'b', True, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2']]), ({'members': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'active': 'b', 'collapsed': False, 'dirty': ['a', 'c'], 'reveal': 'c'}, [['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 6, 2, None, False, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2']]), ({'members': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'active': 'z', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [[], 6, 2, None, True, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2']]), ({'members': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'active': 'b', 'collapsed': True, 'dirty': [], 'reveal': 'c'}, [['b'], 6, 0, 'b', True, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2']]), ({'members': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'b'}, [['b'], 6, 2, 'b', False, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2']]), ({'members': ['extra0', 'extra1', 'extra2'], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [[], 3, 0, None, False, ['extra0', 'extra1', 'extra2']])], 5: [({'members': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [['b'], 7, 2, 'b', True, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3']]), ({'members': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'active': 'b', 'collapsed': False, 'dirty': ['a', 'c'], 'reveal': 'c'}, [['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 7, 2, None, False, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3']]), ({'members': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'active': 'z', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [[], 7, 2, None, True, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3']]), ({'members': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'active': 'b', 'collapsed': True, 'dirty': [], 'reveal': 'c'}, [['b'], 7, 0, 'b', True, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3']]), ({'members': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'b'}, [['b'], 7, 2, 'b', False, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3']]), ({'members': ['extra0', 'extra1', 'extra2', 'extra3'], 'active': 'b', 'collapsed': True, 'dirty': ['a', 'c'], 'reveal': 'c'}, [[], 4, 0, None, False, ['extra0', 'extra1', 'extra2', 'extra3']])]}
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[['b'], 3, 1, 'b', True, ['a', 'b', 'c']][['b'], 3, 2, 'b', True, ['a', 'b', 'c']]Failed
workspace regression 1[['a', 'b', 'c'], 3, 1, None, False, ['a', 'b', 'c']][['a', 'b', 'c'], 3, 2, None, False, ['a', 'b', 'c']]Failed
workspace regression 2[[], 3, 1, None, True, ['a', 'b', 'c']][[], 3, 2, None, True, ['a', 'b', 'c']]Failed
workspace regression 3[['b'], 3, 0, 'b', True, ['a', 'b', 'c']][['b'], 3, 0, 'b', True, ['a', 'b', 'c']]Passed
workspace regression 4[['b'], 3, 1, 'b', False, ['a', 'b', 'c']][['b'], 3, 2, 'b', False, ['a', 'b', 'c']]Failed
workspace regression 5[[], 0, 0, None, False, []][[], 0, 0, None, False, []]Passed

SHA-256 / 5499d6d04752baf43b1fb51b809ddb395e419b3f7ddc056b8ee3f96f48db6c59

HELD IN THE MEMBER ARCHIVE

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

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

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

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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 2026-09-29T14:42:46.635487+00:00.

Case digest / d0650f7476fc28cc762fa3305c40e53574d02d53923255b7987c1c89598ff3cc