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FA-78871 / Image orientation metadata / Open access

Pixel bake discards valid tag 8 as invalid · case 01

Photos rotated 90 degrees counter-clockwise are baked unrotated.

Verified by executionVariant 1 · 8 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

The valid-tag range check uses range(1, 8), which excludes tag 8 and resets it to 1.

VERIFIED REPAIR

Treat exactly 1..8 as valid (range(1, 9)) and normalise everything else to 1.

Unsuccessful approach: Only normalising values below 1 lets 9 and above fall into the tag-8 branch without swapping dimensions.

Case contract

Bake an EXIF-style orientation tag (1..8) into a row-major pixel grid so the result displays upright. Tags 2/4 mirror horizontally/vertically, 3 rotates 180, 6 rotates 90 clockwise, 8 rotates 90 counter-clockwise, 5 transposes and 7 transverses; tags outside 1..8 are treated as 1. Tags 5..8 swap the output width and height.

Why this case matters

Camera, phone and scanner images carry an orientation hint separately from the stored pixels; galleries, thumbnailers, editors and upload pipelines must interpret it consistently or photos appear sideways, mirrored or doubly rotated.

1 / The failure

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

N = 1
observations = []
def solve(grid, tag):
    h = len(grid)
    w = len(grid[0]) if h else 0
    if tag not in range(1, 8):
        tag = 1
    if tag in (5, 6, 7, 8):
        out_h, out_w = w, h
    else:
        out_h, out_w = h, w
    out = []
    for r in range(out_h):
        row = []
        for c in range(out_w):
            if tag == 1:
                v = grid[r][c]
            elif tag == 2:
                v = grid[r][w - 1 - c]
            elif tag == 3:
                v = grid[h - 1 - r][w - 1 - c]
            elif tag == 4:
                v = grid[h - 1 - r][c]
            elif tag == 5:
                v = grid[c][r]
            elif tag == 6:
                v = grid[h - 1 - c][r]
            elif tag == 7:
                v = grid[h - 1 - c][w - 1 - r]
            else:
                v = grid[c][w - 1 - r]
            row.append(v)
        out.append(row)
    return out
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[[([[1], [11], [21], [31]], 8), [[1, 11, 21, 31]]], [([[1, 2], [11, 12], [21, 22], [31, 32]], 9), [[1, 2], [11, 12], [21, 22], [31, 32]]], [([[1, 2, 3, 4], [11, 12, 13, 14], [21, 22, 23, 24], [31, 32, 33, 34]], 6), [[31, 21, 11, 1], [32, 22, 12, 2], [33, 23, 13, 3], [34, 24, 14, 4]]], [([[1, 2, 3], [11, 12, 13], [21, 22, 23]], 6), [[21, 11, 1], [22, 12, 2], [23, 13, 3]]], [([[1, 2, 3, 4]], 5), [[1], [2], [3], [4]]], [([[1, 2, 3, 4]], 2), [[4, 3, 2, 1]]], [([[1, 2], [11, 12], [21, 22], [31, 32]], 2), [[2, 1], [12, 11], [22, 21], [32, 31]]], [([[1], [11]], 8), [[1, 11]]]], [[([[2, 3, 4], [12, 13, 14], [22, 23, 24], [32, 33, 34]], 8), [[4, 14, 24, 34], [3, 13, 23, 33], [2, 12, 22, 32]]], [([[2, 3, 4, 5], [12, 13, 14, 15], [22, 23, 24, 25], [32, 33, 34, 35]], 9), [[2, 3, 4, 5], [12, 13, 14, 15], [22, 23, 24, 25], [32, 33, 34, 35]]], [([[2, 3, 4], [12, 13, 14], [22, 23, 24]], 0), [[2, 3, 4], [12, 13, 14], [22, 23, 24]]], [([[2, 3, 4], [12, 13, 14], [22, 23, 24], [32, 33, 34]], 6), [[32, 22, 12, 2], [33, 23, 13, 3], [34, 24, 14, 4]]], [([[2]], 1), [[2]]], [([[2, 3, 4, 5], [12, 13, 14, 15]], 6), [[12, 2], [13, 3], [14, 4], [15, 5]]], [([[2, 3]], 6), [[2], [3]]], [([[2, 3], [12, 13], [22, 23], [32, 33]], 8), [[3, 13, 23, 33], [2, 12, 22, 32]]]], [[([[3, 4, 5, 6], [13, 14, 15, 16], [23, 24, 25, 26]], 8), [[6, 16, 26], [5, 15, 25], [4, 14, 24], [3, 13, 23]]], [([[3, 4], [13, 14], [23, 24], [33, 34]], 9), [[3, 4], [13, 14], [23, 24], [33, 34]]], [([[3]], 8), [[3]]], [([[3, 4], [13, 14], [23, 24]], 6), [[23, 13, 3], [24, 14, 4]]], [([[3], [13]], 3), [[13], [3]]], [([[3, 4, 5, 6], [13, 14, 15, 16]], 0), [[3, 4, 5, 6], [13, 14, 15, 16]]], [([[3, 4, 5], [13, 14, 15]], 5), [[3, 13], [4, 14], [5, 15]]], [([[3, 4], [13, 14], [23, 24], [33, 34]], 8), [[4, 14, 24, 34], [3, 13, 23, 33]]]], [[([[4, 5, 6], [14, 15, 16]], 8), [[6, 16], [5, 15], [4, 14]]], [([[4, 5, 6], [14, 15, 16], [24, 25, 26], [34, 35, 36]], 9), [[4, 5, 6], [14, 15, 16], [24, 25, 26], [34, 35, 36]]], [([[4, 5, 6], [14, 15, 16]], 3), [[16, 15, 14], [6, 5, 4]]], [([[4, 5], [14, 15]], 5), [[4, 14], [5, 15]]], [([[4]], 5), [[4]]], [([[4], [14]], 6), [[14, 4]]], [([[4, 5], [14, 15], [24, 25], [34, 35]], 4), [[34, 35], [24, 25], [14, 15], [4, 5]]], [([[4, 5], [14, 15], [24, 25], [34, 35]], 8), [[5, 15, 25, 35], [4, 14, 24, 34]]]], [[([[5, 6, 7], [15, 16, 17]], 8), [[7, 17], [6, 16], [5, 15]]], [([[5, 6, 7, 8], [15, 16, 17, 18], [25, 26, 27, 28], [35, 36, 37, 38]], 9), [[5, 6, 7, 8], [15, 16, 17, 18], [25, 26, 27, 28], [35, 36, 37, 38]]], [([[5]], 6), [[5]]], [([[5], [15], [25], [35]], 2), [[5], [15], [25], [35]]], [([[5, 6, 7, 8], [15, 16, 17, 18], [25, 26, 27, 28]], 3), [[28, 27, 26, 25], [18, 17, 16, 15], [8, 7, 6, 5]]], [([[5, 6], [15, 16]], 7), [[16, 6], [15, 5]]], [([[5, 6, 7], [15, 16, 17]], 6), [[15, 5], [16, 6], [17, 7]]], [([[5, 6], [15, 16], [25, 26]], 8), [[6, 16, 26], [5, 15, 25]]]]]
labels = ["regression: invalid tag normalisation", "repair trap", "combined fault", "control", "control", "boundary", "boundary", "control"]
for i, (args, expected) in enumerate(fixtures[N-1]):
    check("%s %d" % (labels[i % len(labels)], i), 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 fixtureActualExpectedOutcome
regression: invalid tag normalisation 0[[1], [11], [21], [31]][[1, 11, 21, 31]]Failed
repair trap 1[[1, 2], [11, 12], [21, 22], [31, 32]][[1, 2], [11, 12], [21, 22], [31, 32]]Passed
combined fault 2[[31, 21, 11, 1], [32, 22, 12, 2], [33, 23, 13, 3], [34, 24, 14, 4]][[31, 21, 11, 1], [32, 22, 12, 2], [33, 23, 13, 3], [34, 24, 14, 4]]Passed
control 3[[21, 11, 1], [22, 12, 2], [23, 13, 3]][[21, 11, 1], [22, 12, 2], [23, 13, 3]]Passed
control 4[[1], [2], [3], [4]][[1], [2], [3], [4]]Passed
boundary 5[[4, 3, 2, 1]][[4, 3, 2, 1]]Passed
boundary 6[[2, 1], [12, 11], [22, 21], [32, 31]][[2, 1], [12, 11], [22, 21], [32, 31]]Passed
control 7[[1], [11]][[1, 11]]Failed

SHA-256 / 75c75436f6978e8858e642ff1aa0e95fc01a4f0eb7e5bd39a933bcc95c9f6e26

2 / The unsuccessful fix

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

N = 1
observations = []
def solve(grid, tag):
    h = len(grid)
    w = len(grid[0]) if h else 0
    if tag < 1:
        tag = 1
    if tag in (5, 6, 7, 8):
        out_h, out_w = w, h
    else:
        out_h, out_w = h, w
    out = []
    for r in range(out_h):
        row = []
        for c in range(out_w):
            if tag == 1:
                v = grid[r][c]
            elif tag == 2:
                v = grid[r][w - 1 - c]
            elif tag == 3:
                v = grid[h - 1 - r][w - 1 - c]
            elif tag == 4:
                v = grid[h - 1 - r][c]
            elif tag == 5:
                v = grid[c][r]
            elif tag == 6:
                v = grid[h - 1 - c][r]
            elif tag == 7:
                v = grid[h - 1 - c][w - 1 - r]
            else:
                v = grid[c][w - 1 - r]
            row.append(v)
        out.append(row)
    return out
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[[([[1], [11], [21], [31]], 8), [[1, 11, 21, 31]]], [([[1, 2], [11, 12], [21, 22], [31, 32]], 9), [[1, 2], [11, 12], [21, 22], [31, 32]]], [([[1, 2, 3, 4], [11, 12, 13, 14], [21, 22, 23, 24], [31, 32, 33, 34]], 6), [[31, 21, 11, 1], [32, 22, 12, 2], [33, 23, 13, 3], [34, 24, 14, 4]]], [([[1, 2, 3], [11, 12, 13], [21, 22, 23]], 6), [[21, 11, 1], [22, 12, 2], [23, 13, 3]]], [([[1, 2, 3, 4]], 5), [[1], [2], [3], [4]]], [([[1, 2, 3, 4]], 2), [[4, 3, 2, 1]]], [([[1, 2], [11, 12], [21, 22], [31, 32]], 2), [[2, 1], [12, 11], [22, 21], [32, 31]]], [([[1], [11]], 8), [[1, 11]]]], [[([[2, 3, 4], [12, 13, 14], [22, 23, 24], [32, 33, 34]], 8), [[4, 14, 24, 34], [3, 13, 23, 33], [2, 12, 22, 32]]], [([[2, 3, 4, 5], [12, 13, 14, 15], [22, 23, 24, 25], [32, 33, 34, 35]], 9), [[2, 3, 4, 5], [12, 13, 14, 15], [22, 23, 24, 25], [32, 33, 34, 35]]], [([[2, 3, 4], [12, 13, 14], [22, 23, 24]], 0), [[2, 3, 4], [12, 13, 14], [22, 23, 24]]], [([[2, 3, 4], [12, 13, 14], [22, 23, 24], [32, 33, 34]], 6), [[32, 22, 12, 2], [33, 23, 13, 3], [34, 24, 14, 4]]], [([[2]], 1), [[2]]], [([[2, 3, 4, 5], [12, 13, 14, 15]], 6), [[12, 2], [13, 3], [14, 4], [15, 5]]], [([[2, 3]], 6), [[2], [3]]], [([[2, 3], [12, 13], [22, 23], [32, 33]], 8), [[3, 13, 23, 33], [2, 12, 22, 32]]]], [[([[3, 4, 5, 6], [13, 14, 15, 16], [23, 24, 25, 26]], 8), [[6, 16, 26], [5, 15, 25], [4, 14, 24], [3, 13, 23]]], [([[3, 4], [13, 14], [23, 24], [33, 34]], 9), [[3, 4], [13, 14], [23, 24], [33, 34]]], [([[3]], 8), [[3]]], [([[3, 4], [13, 14], [23, 24]], 6), [[23, 13, 3], [24, 14, 4]]], [([[3], [13]], 3), [[13], [3]]], [([[3, 4, 5, 6], [13, 14, 15, 16]], 0), [[3, 4, 5, 6], [13, 14, 15, 16]]], [([[3, 4, 5], [13, 14, 15]], 5), [[3, 13], [4, 14], [5, 15]]], [([[3, 4], [13, 14], [23, 24], [33, 34]], 8), [[4, 14, 24, 34], [3, 13, 23, 33]]]], [[([[4, 5, 6], [14, 15, 16]], 8), [[6, 16], [5, 15], [4, 14]]], [([[4, 5, 6], [14, 15, 16], [24, 25, 26], [34, 35, 36]], 9), [[4, 5, 6], [14, 15, 16], [24, 25, 26], [34, 35, 36]]], [([[4, 5, 6], [14, 15, 16]], 3), [[16, 15, 14], [6, 5, 4]]], [([[4, 5], [14, 15]], 5), [[4, 14], [5, 15]]], [([[4]], 5), [[4]]], [([[4], [14]], 6), [[14, 4]]], [([[4, 5], [14, 15], [24, 25], [34, 35]], 4), [[34, 35], [24, 25], [14, 15], [4, 5]]], [([[4, 5], [14, 15], [24, 25], [34, 35]], 8), [[5, 15, 25, 35], [4, 14, 24, 34]]]], [[([[5, 6, 7], [15, 16, 17]], 8), [[7, 17], [6, 16], [5, 15]]], [([[5, 6, 7, 8], [15, 16, 17, 18], [25, 26, 27, 28], [35, 36, 37, 38]], 9), [[5, 6, 7, 8], [15, 16, 17, 18], [25, 26, 27, 28], [35, 36, 37, 38]]], [([[5]], 6), [[5]]], [([[5], [15], [25], [35]], 2), [[5], [15], [25], [35]]], [([[5, 6, 7, 8], [15, 16, 17, 18], [25, 26, 27, 28]], 3), [[28, 27, 26, 25], [18, 17, 16, 15], [8, 7, 6, 5]]], [([[5, 6], [15, 16]], 7), [[16, 6], [15, 5]]], [([[5, 6, 7], [15, 16, 17]], 6), [[15, 5], [16, 6], [17, 7]]], [([[5, 6], [15, 16], [25, 26]], 8), [[6, 16, 26], [5, 15, 25]]]]]
labels = ["regression: invalid tag normalisation", "repair trap", "combined fault", "control", "control", "boundary", "boundary", "control"]
for i, (args, expected) in enumerate(fixtures[N-1]):
    check("%s %d" % (labels[i % len(labels)], i), 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 fixtureActualExpectedOutcome
regression: invalid tag normalisation 0[[1, 11, 21, 31]][[1, 11, 21, 31]]Passed
repair trap 1[[2, 12], [1, 11], [2, 12], [1, 11]][[1, 2], [11, 12], [21, 22], [31, 32]]Failed
combined fault 2[[31, 21, 11, 1], [32, 22, 12, 2], [33, 23, 13, 3], [34, 24, 14, 4]][[31, 21, 11, 1], [32, 22, 12, 2], [33, 23, 13, 3], [34, 24, 14, 4]]Passed
control 3[[21, 11, 1], [22, 12, 2], [23, 13, 3]][[21, 11, 1], [22, 12, 2], [23, 13, 3]]Passed
control 4[[1], [2], [3], [4]][[1], [2], [3], [4]]Passed
boundary 5[[4, 3, 2, 1]][[4, 3, 2, 1]]Passed
boundary 6[[2, 1], [12, 11], [22, 21], [32, 31]][[2, 1], [12, 11], [22, 21], [32, 31]]Passed
control 7[[1, 11]][[1, 11]]Passed

SHA-256 / 9d014da347f4a3d21f7de42eed2dd06e936fc4b37a2a24ad70aca14bb155f5f2

3 / The verified repair

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

N = 1
observations = []
def solve(grid, tag):
    h = len(grid)
    w = len(grid[0]) if h else 0
    if tag not in range(1, 9):
        tag = 1
    if tag in (5, 6, 7, 8):
        out_h, out_w = w, h
    else:
        out_h, out_w = h, w
    out = []
    for r in range(out_h):
        row = []
        for c in range(out_w):
            if tag == 1:
                v = grid[r][c]
            elif tag == 2:
                v = grid[r][w - 1 - c]
            elif tag == 3:
                v = grid[h - 1 - r][w - 1 - c]
            elif tag == 4:
                v = grid[h - 1 - r][c]
            elif tag == 5:
                v = grid[c][r]
            elif tag == 6:
                v = grid[h - 1 - c][r]
            elif tag == 7:
                v = grid[h - 1 - c][w - 1 - r]
            else:
                v = grid[c][w - 1 - r]
            row.append(v)
        out.append(row)
    return out
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[[([[1], [11], [21], [31]], 8), [[1, 11, 21, 31]]], [([[1, 2], [11, 12], [21, 22], [31, 32]], 9), [[1, 2], [11, 12], [21, 22], [31, 32]]], [([[1, 2, 3, 4], [11, 12, 13, 14], [21, 22, 23, 24], [31, 32, 33, 34]], 6), [[31, 21, 11, 1], [32, 22, 12, 2], [33, 23, 13, 3], [34, 24, 14, 4]]], [([[1, 2, 3], [11, 12, 13], [21, 22, 23]], 6), [[21, 11, 1], [22, 12, 2], [23, 13, 3]]], [([[1, 2, 3, 4]], 5), [[1], [2], [3], [4]]], [([[1, 2, 3, 4]], 2), [[4, 3, 2, 1]]], [([[1, 2], [11, 12], [21, 22], [31, 32]], 2), [[2, 1], [12, 11], [22, 21], [32, 31]]], [([[1], [11]], 8), [[1, 11]]]], [[([[2, 3, 4], [12, 13, 14], [22, 23, 24], [32, 33, 34]], 8), [[4, 14, 24, 34], [3, 13, 23, 33], [2, 12, 22, 32]]], [([[2, 3, 4, 5], [12, 13, 14, 15], [22, 23, 24, 25], [32, 33, 34, 35]], 9), [[2, 3, 4, 5], [12, 13, 14, 15], [22, 23, 24, 25], [32, 33, 34, 35]]], [([[2, 3, 4], [12, 13, 14], [22, 23, 24]], 0), [[2, 3, 4], [12, 13, 14], [22, 23, 24]]], [([[2, 3, 4], [12, 13, 14], [22, 23, 24], [32, 33, 34]], 6), [[32, 22, 12, 2], [33, 23, 13, 3], [34, 24, 14, 4]]], [([[2]], 1), [[2]]], [([[2, 3, 4, 5], [12, 13, 14, 15]], 6), [[12, 2], [13, 3], [14, 4], [15, 5]]], [([[2, 3]], 6), [[2], [3]]], [([[2, 3], [12, 13], [22, 23], [32, 33]], 8), [[3, 13, 23, 33], [2, 12, 22, 32]]]], [[([[3, 4, 5, 6], [13, 14, 15, 16], [23, 24, 25, 26]], 8), [[6, 16, 26], [5, 15, 25], [4, 14, 24], [3, 13, 23]]], [([[3, 4], [13, 14], [23, 24], [33, 34]], 9), [[3, 4], [13, 14], [23, 24], [33, 34]]], [([[3]], 8), [[3]]], [([[3, 4], [13, 14], [23, 24]], 6), [[23, 13, 3], [24, 14, 4]]], [([[3], [13]], 3), [[13], [3]]], [([[3, 4, 5, 6], [13, 14, 15, 16]], 0), [[3, 4, 5, 6], [13, 14, 15, 16]]], [([[3, 4, 5], [13, 14, 15]], 5), [[3, 13], [4, 14], [5, 15]]], [([[3, 4], [13, 14], [23, 24], [33, 34]], 8), [[4, 14, 24, 34], [3, 13, 23, 33]]]], [[([[4, 5, 6], [14, 15, 16]], 8), [[6, 16], [5, 15], [4, 14]]], [([[4, 5, 6], [14, 15, 16], [24, 25, 26], [34, 35, 36]], 9), [[4, 5, 6], [14, 15, 16], [24, 25, 26], [34, 35, 36]]], [([[4, 5, 6], [14, 15, 16]], 3), [[16, 15, 14], [6, 5, 4]]], [([[4, 5], [14, 15]], 5), [[4, 14], [5, 15]]], [([[4]], 5), [[4]]], [([[4], [14]], 6), [[14, 4]]], [([[4, 5], [14, 15], [24, 25], [34, 35]], 4), [[34, 35], [24, 25], [14, 15], [4, 5]]], [([[4, 5], [14, 15], [24, 25], [34, 35]], 8), [[5, 15, 25, 35], [4, 14, 24, 34]]]], [[([[5, 6, 7], [15, 16, 17]], 8), [[7, 17], [6, 16], [5, 15]]], [([[5, 6, 7, 8], [15, 16, 17, 18], [25, 26, 27, 28], [35, 36, 37, 38]], 9), [[5, 6, 7, 8], [15, 16, 17, 18], [25, 26, 27, 28], [35, 36, 37, 38]]], [([[5]], 6), [[5]]], [([[5], [15], [25], [35]], 2), [[5], [15], [25], [35]]], [([[5, 6, 7, 8], [15, 16, 17, 18], [25, 26, 27, 28]], 3), [[28, 27, 26, 25], [18, 17, 16, 15], [8, 7, 6, 5]]], [([[5, 6], [15, 16]], 7), [[16, 6], [15, 5]]], [([[5, 6, 7], [15, 16, 17]], 6), [[15, 5], [16, 6], [17, 7]]], [([[5, 6], [15, 16], [25, 26]], 8), [[6, 16, 26], [5, 15, 25]]]]]
labels = ["regression: invalid tag normalisation", "repair trap", "combined fault", "control", "control", "boundary", "boundary", "control"]
for i, (args, expected) in enumerate(fixtures[N-1]):
    check("%s %d" % (labels[i % len(labels)], i), 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 fixtureActualExpectedOutcome
regression: invalid tag normalisation 0[[1, 11, 21, 31]][[1, 11, 21, 31]]Passed
repair trap 1[[1, 2], [11, 12], [21, 22], [31, 32]][[1, 2], [11, 12], [21, 22], [31, 32]]Passed
combined fault 2[[31, 21, 11, 1], [32, 22, 12, 2], [33, 23, 13, 3], [34, 24, 14, 4]][[31, 21, 11, 1], [32, 22, 12, 2], [33, 23, 13, 3], [34, 24, 14, 4]]Passed
control 3[[21, 11, 1], [22, 12, 2], [23, 13, 3]][[21, 11, 1], [22, 12, 2], [23, 13, 3]]Passed
control 4[[1], [2], [3], [4]][[1], [2], [3], [4]]Passed
boundary 5[[4, 3, 2, 1]][[4, 3, 2, 1]]Passed
boundary 6[[2, 1], [12, 11], [22, 21], [32, 31]][[2, 1], [12, 11], [22, 21], [32, 31]]Passed
control 7[[1, 11]][[1, 11]]Passed

SHA-256 / 1a19e07452227e5ca0102ff20a2d96c6288b5c8e4882ae973af858e7c7be5b86

Verification & scope

A deterministic bounded teaching model with a stipulated contract; it makes no claim of conformance to any published specification. 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 2026-09-29T14:49:39.249091+00:00.

Case digest / f791e244f255b3f4c36908d130a7b7cc5cff281191ba544e0bb8f028f63996c4