FA-8221 / Direct manipulation / Open access

Drag-and-drop list reordering: Reordering duplicates the dragged item instead of moving it · case 01

Reordering duplicates the dragged item instead of moving it.

Verified by executionVariant 1 · 7 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

The remove source operation uses `items = list(items)` where the contract requires `items.remove(source)`.

VERIFIED REPAIR

Implement the remove source operation as `items.remove(source)`.

Unsuccessful approach: Reversing before removal scrambles the unaffected items.

Case contract

Cancellation, missing endpoints and self drops preserve order; otherwise remove the source and insert it immediately before or after the surviving target.

Why this case matters

A deterministic model of drag-and-drop list reordering; this isolates one interface invariant without requiring a browser.

1 / The failure

Exit 1

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

N = 1
observations = []
def solve(items, source, target, after, cancelled):
    items = list(items)
    if cancelled: return items
    if source not in items or target not in items: return items
    if source == target: return items
    items = list(items)
    index = items.index(target) + (1 if after else 0)
    items.insert(index, source)
    return items
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('cancel', solve(['a','b','c'], 'a', 'c', True, True), ['a', 'b', 'c'])
check('missing', solve(['a','b'], 'a', 'gone', True, False), ['a', 'b'])
check('self', solve(['a','b'], 'a', 'a', True, False), ['a', 'b'])
check('after', solve(['a','b','c'], 'a', 'c', True, False), ['b', 'c', 'a'])
check('before', solve(['a','b','c'], 'c', 'a', False, False), ['c', 'a', 'b'])
check('parameterized drag length', solve(list(range(N+2)), 0, N+1, True, False), list(range(1,N+2))+[0])
for repetition in range(N):
    check('repeat before', solve(['a','b','c'], 'c', 'a', False, False), ['c', 'a', 'b'])
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
cancel	`['a', 'b', 'c']`	`['a', 'b', 'c']`	Passed
missing	`['a', 'b']`	`['a', 'b']`	Passed
self	`['a', 'b']`	`['a', 'b']`	Passed
after	`['a', 'b', 'c', 'a']`	`['b', 'c', 'a']`	Failed
before	`['c', 'a', 'b', 'c']`	`['c', 'a', 'b']`	Failed
parameterized drag length	`[0, 1, 2, 0]`	`[1, 2, 0]`	Failed
repeat before	`['c', 'a', 'b', 'c']`	`['c', 'a', 'b']`	Failed

SHA-256 / b2e4e548ba49cb519f90b5964db3405b142bcf328e36f26eb183bfeac58cf436

2 / The unsuccessful fix

Exit 1

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

N = 1
observations = []
def solve(items, source, target, after, cancelled):
    items = list(items)
    if cancelled: return items
    if source not in items or target not in items: return items
    if source == target: return items
    items.reverse(); items.remove(source)
    index = items.index(target) + (1 if after else 0)
    items.insert(index, source)
    return items
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('cancel', solve(['a','b','c'], 'a', 'c', True, True), ['a', 'b', 'c'])
check('missing', solve(['a','b'], 'a', 'gone', True, False), ['a', 'b'])
check('self', solve(['a','b'], 'a', 'a', True, False), ['a', 'b'])
check('after', solve(['a','b','c'], 'a', 'c', True, False), ['b', 'c', 'a'])
check('before', solve(['a','b','c'], 'c', 'a', False, False), ['c', 'a', 'b'])
check('parameterized drag length', solve(list(range(N+2)), 0, N+1, True, False), list(range(1,N+2))+[0])
for repetition in range(N):
    check('repeat before', solve(['a','b','c'], 'c', 'a', False, False), ['c', 'a', 'b'])
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
cancel	`['a', 'b', 'c']`	`['a', 'b', 'c']`	Passed
missing	`['a', 'b']`	`['a', 'b']`	Passed
self	`['a', 'b']`	`['a', 'b']`	Passed
after	`['c', 'a', 'b']`	`['b', 'c', 'a']`	Failed
before	`['b', 'c', 'a']`	`['c', 'a', 'b']`	Failed
parameterized drag length	`[2, 0, 1]`	`[1, 2, 0]`	Failed
repeat before	`['b', 'c', 'a']`	`['c', 'a', 'b']`	Failed

SHA-256 / 3bb47edaff7ab83f48040bcf0c3f6dc1a5771a355b88f51e55504581a4362e39

3 / The verified repair

Exit 0

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

N = 1
observations = []
def solve(items, source, target, after, cancelled):
    items = list(items)
    if cancelled: return items
    if source not in items or target not in items: return items
    if source == target: return items
    items.remove(source)
    index = items.index(target) + (1 if after else 0)
    items.insert(index, source)
    return items
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('cancel', solve(['a','b','c'], 'a', 'c', True, True), ['a', 'b', 'c'])
check('missing', solve(['a','b'], 'a', 'gone', True, False), ['a', 'b'])
check('self', solve(['a','b'], 'a', 'a', True, False), ['a', 'b'])
check('after', solve(['a','b','c'], 'a', 'c', True, False), ['b', 'c', 'a'])
check('before', solve(['a','b','c'], 'c', 'a', False, False), ['c', 'a', 'b'])
check('parameterized drag length', solve(list(range(N+2)), 0, N+1, True, False), list(range(1,N+2))+[0])
for repetition in range(N):
    check('repeat before', solve(['a','b','c'], 'c', 'a', False, False), ['c', 'a', 'b'])
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
cancel	`['a', 'b', 'c']`	`['a', 'b', 'c']`	Passed
missing	`['a', 'b']`	`['a', 'b']`	Passed
self	`['a', 'b']`	`['a', 'b']`	Passed
after	`['b', 'c', 'a']`	`['b', 'c', 'a']`	Passed
before	`['c', 'a', 'b']`	`['c', 'a', 'b']`	Passed
parameterized drag length	`[1, 2, 0]`	`[1, 2, 0]`	Passed
repeat before	`['c', 'a', 'b']`	`['c', 'a', 'b']`	Passed

SHA-256 / dd447b91b66ff81728f3bffe4798f9817fe7259a02b0987235ab214a33f6dfd8

Verification & scope

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 2026-09-29T14:38:19.558851+00:00.

Case digest / 5d760e798bffca04163197cebd82c39847cae4bfaef4a552c1f9d99fb6ddd49c