FA-80636 / Bidirectional text layout / Open access
Caret visual position: trailing edge side · case 01
Carets after RTL characters are drawn past them.
ROOT CAUSE
The trailing edge ignores direction and always uses the right side.
VERIFIED REPAIR
Trailing edge is right for LTR and left for RTL.
Unsuccessful approach: Subtracting one for RTL overshoots to the left.
Case contract
Input [levels, logical caret offset k, affinity]. Characters are one unit wide and visually ordered by level reversal. Affinity "after" attaches the caret to the leading edge of character k (if k < n), otherwise to the trailing edge of character k-1; offset 0 always uses the leading edge of character 0. The leading edge of an LTR character is its left side, of an RTL (odd) character its right side. Return the visual x.
Why this case matters
Mixed right-to-left and left-to-right text must resolve levels and visual order exactly, or words, numbers and carets land in the wrong place.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(x):
def reorder(lv):
vis = list(range(len(lv)))
odd = [l for l in lv if l % 2 == 1]
if not odd:
return vis
for lev in range(max(lv), min(odd) - 1, -1):
i = 0
while i < len(vis):
if lv[vis[i]] >= lev:
j = i
while j < len(vis) and lv[vis[j]] >= lev:
j += 1
vis[i:j] = vis[i:j][::-1]
i = j
else:
i += 1
return vis
levels, k, affinity = x
n = len(levels)
if n == 0:
return 0
vis = reorder(levels)
pos = [0] * n
for v, i in enumerate(vis):
pos[i] = v
if affinity == 'after' and k < n or k == 0:
j = k
leading = True
else:
j = k - 1
leading = False
rtl = levels[j] % 2 == 1
if leading:
return pos[j] + 1 if rtl else pos[j]
return pos[j] + 1
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('line end', [[1, 1, 1], 3, 'after'], 0), ('regression: trailing edge side', [[3, 3, 3, 3, 3, 3, 1, 1], 7, 'before'], 1), ('regression: trailing edge side', [[1, 1, 1, 1, 1, 1, 0, 0, 0, 0], 6, 'before'], 0), ('regression: trailing edge side', [[2, 2, 2, 3, 3, 2, 2, 2, 3, 3], 10, 'after'], 8), ('same boundary after', [[0, 0, 1, 1], 2, 'after'], 4), ('line start before', [[1, 1, 0], 0, 'before'], 2), ('control layout', [[2, 2], 2, 'after'], 2), ('control layout', [[1, 2, 2, 1], 3, 'after'], 1)], [('regression: trailing edge side', [[1, 1, 1, 1, 3, 3, 1, 1], 1, 'before'], 7), ('regression: trailing edge side', [[3, 3, 3, 3, 2, 2, 2, 0, 0], 2, 'before'], 2), ('regression: trailing edge side', [[3, 3, 3, 3, 1, 4, 4, 1, 2, 1], 10, 'after'], 0), ('regression: trailing edge side', [[2, 1], 2, 'after'], 0), ('line end', [[1, 1, 1], 3, 'after'], 0), ('caret at direction boundary', [[0, 0, 1, 1], 2, 'before'], 2), ('control layout', [[0], 1, 'before'], 1), ('control layout', [[3, 3, 3, 1, 1, 0, 0, 0, 0, 0], 5, 'after'], 5)], [('regression: trailing edge side', [[1, 1, 1, 1, 1, 1], 2, 'before'], 4), ('regression: trailing edge side', [[0, 0, 0, 1, 3, 3, 3, 3], 6, 'before'], 5), ('regression: trailing edge side', [[2, 1, 1, 1, 1], 5, 'after'], 0), ('regression: trailing edge side', [[2, 2, 2, 2, 3, 3, 3, 1, 1, 1], 10, 'before'], 0), ('line end', [[1, 1, 1], 3, 'after'], 0), ('line start before', [[1, 1, 0], 0, 'before'], 2), ('control layout', [[1, 1, 1, 1, 1, 1, 1], 1, 'after'], 6), ('control layout', [[3, 3, 3], 0, 'after'], 3)], [('regression: trailing edge side', [[3, 3, 3, 3], 1, 'before'], 3), ('regression: trailing edge side', [[3, 3, 3, 2, 2, 3, 3, 3, 3, 2], 9, 'before'], 5), ('regression: trailing edge side', [[1, 3, 3], 3, 'before'], 0), ('regression: trailing edge side', [[2, 2, 1, 1, 3, 2, 2, 3], 4, 'before'], 4), ('caret at direction boundary', [[0, 0, 1, 1], 2, 'before'], 2), ('same boundary after', [[0, 0, 1, 1], 2, 'after'], 4), ('control layout', [[0, 0, 3, 0, 2], 3, 'after'], 3), ('control layout', [[3, 3, 0, 0, 0], 3, 'before'], 3)], [('regression: trailing edge side', [[0, 1, 1, 2, 2, 2, 3, 3, 3, 1], 3, 'before'], 8), ('regression: trailing edge side', [[1], 1, 'after'], 0), ('regression: trailing edge side', [[1, 3, 3, 1, 1, 1, 1, 1], 2, 'before'], 6), ('regression: trailing edge side', [[1, 1, 2, 2, 1, 1, 1], 2, 'before'], 5), ('same boundary after', [[0, 0, 1, 1], 2, 'after'], 4), ('caret at direction boundary', [[0, 0, 1, 1], 2, 'before'], 2), ('control layout', [[1, 1, 1, 1, 0, 1, 1, 1, 1], 0, 'before'], 4), ('control layout', [[3, 3, 0, 0, 0], 5, 'after'], 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 fixture | Actual | Expected | Outcome |
|---|---|---|---|
| line end | 1 | 0 | Failed |
| regression: trailing edge side | 2 | 1 | Failed |
| regression: trailing edge side | 1 | 0 | Failed |
| regression: trailing edge side | 9 | 8 | Failed |
| same boundary after | 4 | 4 | Passed |
| line start before | 2 | 2 | Passed |
| control layout | 2 | 2 | Passed |
| control layout | 1 | 1 | Passed |
SHA-256 / 1f7cdb4e10763e1e1e4838d26ad591ed96b34d63322ca65eb6528e1108519a10
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(x):
def reorder(lv):
vis = list(range(len(lv)))
odd = [l for l in lv if l % 2 == 1]
if not odd:
return vis
for lev in range(max(lv), min(odd) - 1, -1):
i = 0
while i < len(vis):
if lv[vis[i]] >= lev:
j = i
while j < len(vis) and lv[vis[j]] >= lev:
j += 1
vis[i:j] = vis[i:j][::-1]
i = j
else:
i += 1
return vis
levels, k, affinity = x
n = len(levels)
if n == 0:
return 0
vis = reorder(levels)
pos = [0] * n
for v, i in enumerate(vis):
pos[i] = v
if affinity == 'after' and k < n or k == 0:
j = k
leading = True
else:
j = k - 1
leading = False
rtl = levels[j] % 2 == 1
if leading:
return pos[j] + 1 if rtl else pos[j]
return pos[j] - 1 if rtl else pos[j] + 1
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('line end', [[1, 1, 1], 3, 'after'], 0), ('regression: trailing edge side', [[3, 3, 3, 3, 3, 3, 1, 1], 7, 'before'], 1), ('regression: trailing edge side', [[1, 1, 1, 1, 1, 1, 0, 0, 0, 0], 6, 'before'], 0), ('regression: trailing edge side', [[2, 2, 2, 3, 3, 2, 2, 2, 3, 3], 10, 'after'], 8), ('same boundary after', [[0, 0, 1, 1], 2, 'after'], 4), ('line start before', [[1, 1, 0], 0, 'before'], 2), ('control layout', [[2, 2], 2, 'after'], 2), ('control layout', [[1, 2, 2, 1], 3, 'after'], 1)], [('regression: trailing edge side', [[1, 1, 1, 1, 3, 3, 1, 1], 1, 'before'], 7), ('regression: trailing edge side', [[3, 3, 3, 3, 2, 2, 2, 0, 0], 2, 'before'], 2), ('regression: trailing edge side', [[3, 3, 3, 3, 1, 4, 4, 1, 2, 1], 10, 'after'], 0), ('regression: trailing edge side', [[2, 1], 2, 'after'], 0), ('line end', [[1, 1, 1], 3, 'after'], 0), ('caret at direction boundary', [[0, 0, 1, 1], 2, 'before'], 2), ('control layout', [[0], 1, 'before'], 1), ('control layout', [[3, 3, 3, 1, 1, 0, 0, 0, 0, 0], 5, 'after'], 5)], [('regression: trailing edge side', [[1, 1, 1, 1, 1, 1], 2, 'before'], 4), ('regression: trailing edge side', [[0, 0, 0, 1, 3, 3, 3, 3], 6, 'before'], 5), ('regression: trailing edge side', [[2, 1, 1, 1, 1], 5, 'after'], 0), ('regression: trailing edge side', [[2, 2, 2, 2, 3, 3, 3, 1, 1, 1], 10, 'before'], 0), ('line end', [[1, 1, 1], 3, 'after'], 0), ('line start before', [[1, 1, 0], 0, 'before'], 2), ('control layout', [[1, 1, 1, 1, 1, 1, 1], 1, 'after'], 6), ('control layout', [[3, 3, 3], 0, 'after'], 3)], [('regression: trailing edge side', [[3, 3, 3, 3], 1, 'before'], 3), ('regression: trailing edge side', [[3, 3, 3, 2, 2, 3, 3, 3, 3, 2], 9, 'before'], 5), ('regression: trailing edge side', [[1, 3, 3], 3, 'before'], 0), ('regression: trailing edge side', [[2, 2, 1, 1, 3, 2, 2, 3], 4, 'before'], 4), ('caret at direction boundary', [[0, 0, 1, 1], 2, 'before'], 2), ('same boundary after', [[0, 0, 1, 1], 2, 'after'], 4), ('control layout', [[0, 0, 3, 0, 2], 3, 'after'], 3), ('control layout', [[3, 3, 0, 0, 0], 3, 'before'], 3)], [('regression: trailing edge side', [[0, 1, 1, 2, 2, 2, 3, 3, 3, 1], 3, 'before'], 8), ('regression: trailing edge side', [[1], 1, 'after'], 0), ('regression: trailing edge side', [[1, 3, 3, 1, 1, 1, 1, 1], 2, 'before'], 6), ('regression: trailing edge side', [[1, 1, 2, 2, 1, 1, 1], 2, 'before'], 5), ('same boundary after', [[0, 0, 1, 1], 2, 'after'], 4), ('caret at direction boundary', [[0, 0, 1, 1], 2, 'before'], 2), ('control layout', [[1, 1, 1, 1, 0, 1, 1, 1, 1], 0, 'before'], 4), ('control layout', [[3, 3, 0, 0, 0], 5, 'after'], 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 fixture | Actual | Expected | Outcome |
|---|---|---|---|
| line end | -1 | 0 | Failed |
| regression: trailing edge side | 0 | 1 | Failed |
| regression: trailing edge side | -1 | 0 | Failed |
| regression: trailing edge side | 7 | 8 | Failed |
| same boundary after | 4 | 4 | Passed |
| line start before | 2 | 2 | Passed |
| control layout | 2 | 2 | Passed |
| control layout | 1 | 1 | Passed |
SHA-256 / 9f530632039d8d3b9894b992e78dfdb7ddd2ef86325168271fb73b1cb4fcb6d5
3 / The verified repair
Exit 0"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(x):
def reorder(lv):
vis = list(range(len(lv)))
odd = [l for l in lv if l % 2 == 1]
if not odd:
return vis
for lev in range(max(lv), min(odd) - 1, -1):
i = 0
while i < len(vis):
if lv[vis[i]] >= lev:
j = i
while j < len(vis) and lv[vis[j]] >= lev:
j += 1
vis[i:j] = vis[i:j][::-1]
i = j
else:
i += 1
return vis
levels, k, affinity = x
n = len(levels)
if n == 0:
return 0
vis = reorder(levels)
pos = [0] * n
for v, i in enumerate(vis):
pos[i] = v
if affinity == 'after' and k < n or k == 0:
j = k
leading = True
else:
j = k - 1
leading = False
rtl = levels[j] % 2 == 1
if leading:
return pos[j] + 1 if rtl else pos[j]
return pos[j] if rtl else pos[j] + 1
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('line end', [[1, 1, 1], 3, 'after'], 0), ('regression: trailing edge side', [[3, 3, 3, 3, 3, 3, 1, 1], 7, 'before'], 1), ('regression: trailing edge side', [[1, 1, 1, 1, 1, 1, 0, 0, 0, 0], 6, 'before'], 0), ('regression: trailing edge side', [[2, 2, 2, 3, 3, 2, 2, 2, 3, 3], 10, 'after'], 8), ('same boundary after', [[0, 0, 1, 1], 2, 'after'], 4), ('line start before', [[1, 1, 0], 0, 'before'], 2), ('control layout', [[2, 2], 2, 'after'], 2), ('control layout', [[1, 2, 2, 1], 3, 'after'], 1)], [('regression: trailing edge side', [[1, 1, 1, 1, 3, 3, 1, 1], 1, 'before'], 7), ('regression: trailing edge side', [[3, 3, 3, 3, 2, 2, 2, 0, 0], 2, 'before'], 2), ('regression: trailing edge side', [[3, 3, 3, 3, 1, 4, 4, 1, 2, 1], 10, 'after'], 0), ('regression: trailing edge side', [[2, 1], 2, 'after'], 0), ('line end', [[1, 1, 1], 3, 'after'], 0), ('caret at direction boundary', [[0, 0, 1, 1], 2, 'before'], 2), ('control layout', [[0], 1, 'before'], 1), ('control layout', [[3, 3, 3, 1, 1, 0, 0, 0, 0, 0], 5, 'after'], 5)], [('regression: trailing edge side', [[1, 1, 1, 1, 1, 1], 2, 'before'], 4), ('regression: trailing edge side', [[0, 0, 0, 1, 3, 3, 3, 3], 6, 'before'], 5), ('regression: trailing edge side', [[2, 1, 1, 1, 1], 5, 'after'], 0), ('regression: trailing edge side', [[2, 2, 2, 2, 3, 3, 3, 1, 1, 1], 10, 'before'], 0), ('line end', [[1, 1, 1], 3, 'after'], 0), ('line start before', [[1, 1, 0], 0, 'before'], 2), ('control layout', [[1, 1, 1, 1, 1, 1, 1], 1, 'after'], 6), ('control layout', [[3, 3, 3], 0, 'after'], 3)], [('regression: trailing edge side', [[3, 3, 3, 3], 1, 'before'], 3), ('regression: trailing edge side', [[3, 3, 3, 2, 2, 3, 3, 3, 3, 2], 9, 'before'], 5), ('regression: trailing edge side', [[1, 3, 3], 3, 'before'], 0), ('regression: trailing edge side', [[2, 2, 1, 1, 3, 2, 2, 3], 4, 'before'], 4), ('caret at direction boundary', [[0, 0, 1, 1], 2, 'before'], 2), ('same boundary after', [[0, 0, 1, 1], 2, 'after'], 4), ('control layout', [[0, 0, 3, 0, 2], 3, 'after'], 3), ('control layout', [[3, 3, 0, 0, 0], 3, 'before'], 3)], [('regression: trailing edge side', [[0, 1, 1, 2, 2, 2, 3, 3, 3, 1], 3, 'before'], 8), ('regression: trailing edge side', [[1], 1, 'after'], 0), ('regression: trailing edge side', [[1, 3, 3, 1, 1, 1, 1, 1], 2, 'before'], 6), ('regression: trailing edge side', [[1, 1, 2, 2, 1, 1, 1], 2, 'before'], 5), ('same boundary after', [[0, 0, 1, 1], 2, 'after'], 4), ('caret at direction boundary', [[0, 0, 1, 1], 2, 'before'], 2), ('control layout', [[1, 1, 1, 1, 0, 1, 1, 1, 1], 0, 'before'], 4), ('control layout', [[3, 3, 0, 0, 0], 5, 'after'], 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 fixture | Actual | Expected | Outcome |
|---|---|---|---|
| line end | 0 | 0 | Passed |
| regression: trailing edge side | 1 | 1 | Passed |
| regression: trailing edge side | 0 | 0 | Passed |
| regression: trailing edge side | 8 | 8 | Passed |
| same boundary after | 4 | 4 | Passed |
| line start before | 2 | 2 | Passed |
| control layout | 2 | 2 | Passed |
| control layout | 1 | 1 | Passed |
SHA-256 / 3cd4f3ad4177a4391bb2a5b4a884719199f560eadd071fc0ebb12215949de1b5
Verification & scope
A deterministic toy bidi model over stipulated class labels and integer levels; it is inspired by, but does not claim conformance to, any published algorithm. 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 2026-09-29T14:49:55.538918+00:00.
Case digest / 99b03eacad0d57a3fdc1f06ef598b109fa3dc868bf1defc23183642653aa2ac2