FA-79761 / Barcode symbology encoding / Open access
Narrow bars disappear after width reduction · case 01
At low resolutions single-module bars vanish, making the symbol unreadable.
ROOT CAUSE
Bars reduced to zero width are kept at zero instead of being clamped to one pixel.
THE FAILURE
Bars reduced to zero width are kept at zero instead of being clamped to one pixel.
Unsuccessful approach: Clamping only negative widths still allows zero-width bars.
Case contract
Render a module string ("1" bar, "0" space) at xn/xd device pixels per module after `quiet` leading quiet-zone modules. Module boundary k lies at round-half-up((quiet + k) * X), computed from the exact fraction so errors do not accumulate. Adjacent bar modules merge into one bar [start, end); bar width reduction shaves `bwr` pixels from the right edge of each bar, but a bar is never narrower than 1 pixel.
Why this case matters
Retail, logistics, pharmacy and document workflows depend on encoders that produce exactly the module pattern, code-set switches, separators and quiet zones scanners expect; one misplaced module or separator makes a label unreadable or, worse, scan as different data.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
import math
from fractions import Fraction
N = 1
observations = []
def solve(mods, xn, xd, bwr, quiet):
X = Fraction(xn, xd)
def edge(i):
return math.floor((quiet + i) * X + Fraction(1, 2))
bars = []
i = 0
n = len(mods)
while i < n:
if mods[i] == '1':
j = i
while j < n and mods[j] == '1':
j += 1
s, e = edge(i), edge(j) - bwr
if e - s < 0:
e = s
bars.append([s, e])
i = j
else:
i += 1
return bars
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[[('010111110', 11, 5, 2, 0), [[2, 3], [7, 16]]], [('1100111001', 1, 1, 1, 10), [[10, 11], [14, 16], [19, 20]]], [('0001111', 2, 1, 0, 1), [[8, 16]]], [('011', 5, 2, 1, 10), [[28, 32]]], [('00001010', 1, 1, 0, 1), [[5, 6], [7, 8]]], [('101100101', 11, 5, 0, 0), [[0, 2], [4, 9], [13, 15], [18, 20]]], [('00101', 3, 1, 0, 0), [[6, 9], [12, 15]]], [('11000100', 4, 3, 2, 1), [[1, 2], [8, 9]]]], [[('1', 4, 3, 1, 0), [[0, 1]]], [('00010000011', 11, 5, 2, 10), [[29, 30], [42, 44]]], [('0010101000110', 7, 3, 0, 0), [[5, 7], [9, 12], [14, 16], [23, 28]]], [('1111', 9, 4, 2, 3), [[7, 14]]], [('1100001111', 9, 4, 0, 0), [[0, 5], [14, 23]]], [('000010010001', 9, 4, 1, 0), [[9, 10], [16, 17], [25, 26]]], [('0011000', 3, 1, 2, 3), [[15, 19]]], [('10000111', 9, 4, 2, 3), [[7, 8], [18, 23]]]], [[('001', 7, 3, 2, 10), [[28, 29]]], [('1100000101000', 1, 1, 1, 1), [[1, 2], [8, 9], [10, 11]]], [('11000100111001', 5, 2, 1, 10), [[25, 29], [38, 39], [45, 52], [58, 59]]], [('1101101001', 3, 1, 0, 3), [[9, 15], [18, 24], [27, 30], [36, 39]]], [('100110010100', 1, 1, 0, 1), [[1, 2], [4, 6], [8, 9], [10, 11]]], [('101100', 4, 3, 1, 10), [[13, 14], [16, 18]]], [('0110001110', 2, 1, 0, 10), [[22, 26], [32, 38]]], [('00010110011', 7, 3, 2, 3), [[14, 15], [19, 21], [28, 31]]]], [[('101110001000', 9, 4, 2, 0), [[0, 1], [5, 9], [18, 19]]], [('110101100', 5, 2, 2, 0), [[0, 3], [8, 9], [13, 16]]], [('01100', 2, 1, 0, 0), [[2, 6]]], [('10110', 5, 2, 0, 0), [[0, 3], [5, 10]]], [('01110000', 2, 1, 0, 3), [[8, 14]]], [('00101011101', 7, 3, 1, 10), [[28, 29], [33, 34], [37, 43], [47, 48]]], [('10111010100111', 5, 2, 0, 1), [[3, 5], [8, 15], [18, 20], [23, 25], [30, 38]]], [('0000101000', 7, 3, 2, 3), [[16, 17], [21, 22]]]], [[('11111000001', 1, 1, 1, 0), [[0, 4], [10, 11]]], [('100', 1, 1, 2, 0), [[0, 1]]], [('011110111', 9, 4, 1, 10), [[25, 33], [36, 42]]], [('111', 4, 3, 2, 10), [[13, 15]]], [('10111101000110', 7, 3, 0, 3), [[7, 9], [12, 21], [23, 26], [33, 37]]], [('0111110010101', 7, 3, 0, 10), [[26, 37], [42, 44], [47, 49], [51, 54]]], [('1', 5, 2, 0, 3), [[8, 10]]], [('001000011', 1, 1, 1, 1), [[3, 4], [8, 9]]]]]
labels = ["regression: minimum bar width", "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 fixture | Actual | Expected | Outcome |
|---|---|---|---|
| regression: minimum bar width 0 | [[2, 2], [7, 16]] | [[2, 3], [7, 16]] | Failed |
| repair trap 1 | [[10, 11], [14, 16], [19, 19]] | [[10, 11], [14, 16], [19, 20]] | Failed |
| combined fault 2 | [[8, 16]] | [[8, 16]] | Passed |
| control 3 | [[28, 32]] | [[28, 32]] | Passed |
| control 4 | [[5, 6], [7, 8]] | [[5, 6], [7, 8]] | Passed |
| boundary 5 | [[0, 2], [4, 9], [13, 15], [18, 20]] | [[0, 2], [4, 9], [13, 15], [18, 20]] | Passed |
| boundary 6 | [[6, 9], [12, 15]] | [[6, 9], [12, 15]] | Passed |
| control 7 | [[1, 2], [8, 8]] | [[1, 2], [8, 9]] | Failed |
SHA-256 / 8fa35c1f842e5382a903c4bef2728b49bf00fb2586e16f9172ea84a2cc7cb7e5
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
import math
from fractions import Fraction
N = 1
observations = []
def solve(mods, xn, xd, bwr, quiet):
X = Fraction(xn, xd)
def edge(i):
return math.floor((quiet + i) * X + Fraction(1, 2))
bars = []
i = 0
n = len(mods)
while i < n:
if mods[i] == '1':
j = i
while j < n and mods[j] == '1':
j += 1
s, e = edge(i), edge(j) - bwr
if e < s:
e = s
bars.append([s, e])
i = j
else:
i += 1
return bars
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[[('010111110', 11, 5, 2, 0), [[2, 3], [7, 16]]], [('1100111001', 1, 1, 1, 10), [[10, 11], [14, 16], [19, 20]]], [('0001111', 2, 1, 0, 1), [[8, 16]]], [('011', 5, 2, 1, 10), [[28, 32]]], [('00001010', 1, 1, 0, 1), [[5, 6], [7, 8]]], [('101100101', 11, 5, 0, 0), [[0, 2], [4, 9], [13, 15], [18, 20]]], [('00101', 3, 1, 0, 0), [[6, 9], [12, 15]]], [('11000100', 4, 3, 2, 1), [[1, 2], [8, 9]]]], [[('1', 4, 3, 1, 0), [[0, 1]]], [('00010000011', 11, 5, 2, 10), [[29, 30], [42, 44]]], [('0010101000110', 7, 3, 0, 0), [[5, 7], [9, 12], [14, 16], [23, 28]]], [('1111', 9, 4, 2, 3), [[7, 14]]], [('1100001111', 9, 4, 0, 0), [[0, 5], [14, 23]]], [('000010010001', 9, 4, 1, 0), [[9, 10], [16, 17], [25, 26]]], [('0011000', 3, 1, 2, 3), [[15, 19]]], [('10000111', 9, 4, 2, 3), [[7, 8], [18, 23]]]], [[('001', 7, 3, 2, 10), [[28, 29]]], [('1100000101000', 1, 1, 1, 1), [[1, 2], [8, 9], [10, 11]]], [('11000100111001', 5, 2, 1, 10), [[25, 29], [38, 39], [45, 52], [58, 59]]], [('1101101001', 3, 1, 0, 3), [[9, 15], [18, 24], [27, 30], [36, 39]]], [('100110010100', 1, 1, 0, 1), [[1, 2], [4, 6], [8, 9], [10, 11]]], [('101100', 4, 3, 1, 10), [[13, 14], [16, 18]]], [('0110001110', 2, 1, 0, 10), [[22, 26], [32, 38]]], [('00010110011', 7, 3, 2, 3), [[14, 15], [19, 21], [28, 31]]]], [[('101110001000', 9, 4, 2, 0), [[0, 1], [5, 9], [18, 19]]], [('110101100', 5, 2, 2, 0), [[0, 3], [8, 9], [13, 16]]], [('01100', 2, 1, 0, 0), [[2, 6]]], [('10110', 5, 2, 0, 0), [[0, 3], [5, 10]]], [('01110000', 2, 1, 0, 3), [[8, 14]]], [('00101011101', 7, 3, 1, 10), [[28, 29], [33, 34], [37, 43], [47, 48]]], [('10111010100111', 5, 2, 0, 1), [[3, 5], [8, 15], [18, 20], [23, 25], [30, 38]]], [('0000101000', 7, 3, 2, 3), [[16, 17], [21, 22]]]], [[('11111000001', 1, 1, 1, 0), [[0, 4], [10, 11]]], [('100', 1, 1, 2, 0), [[0, 1]]], [('011110111', 9, 4, 1, 10), [[25, 33], [36, 42]]], [('111', 4, 3, 2, 10), [[13, 15]]], [('10111101000110', 7, 3, 0, 3), [[7, 9], [12, 21], [23, 26], [33, 37]]], [('0111110010101', 7, 3, 0, 10), [[26, 37], [42, 44], [47, 49], [51, 54]]], [('1', 5, 2, 0, 3), [[8, 10]]], [('001000011', 1, 1, 1, 1), [[3, 4], [8, 9]]]]]
labels = ["regression: minimum bar width", "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 fixture | Actual | Expected | Outcome |
|---|---|---|---|
| regression: minimum bar width 0 | [[2, 2], [7, 16]] | [[2, 3], [7, 16]] | Failed |
| repair trap 1 | [[10, 11], [14, 16], [19, 19]] | [[10, 11], [14, 16], [19, 20]] | Failed |
| combined fault 2 | [[8, 16]] | [[8, 16]] | Passed |
| control 3 | [[28, 32]] | [[28, 32]] | Passed |
| control 4 | [[5, 6], [7, 8]] | [[5, 6], [7, 8]] | Passed |
| boundary 5 | [[0, 2], [4, 9], [13, 15], [18, 20]] | [[0, 2], [4, 9], [13, 15], [18, 20]] | Passed |
| boundary 6 | [[6, 9], [12, 15]] | [[6, 9], [12, 15]] | Passed |
| control 7 | [[1, 2], [8, 8]] | [[1, 2], [8, 9]] | Failed |
SHA-256 / 8a03bd6a0d79544ad90c299ddf95bf791a15f8821805d611611e1b8d968ad0e8
HELD IN THE MEMBER ARCHIVE
The verified repair and its recorded checks are member-only.
This mechanism has 8 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.
Member access is invitation-based. Sign in with your invited account to inspect the repair.
Sign in to the archive ↗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 2026-09-29T14:49:47.576833+00:00.
Case digest / d507775e62c2e8bb9128469aa40e0da2d3dc67ef32422ca0f976530e05504f77