FA-71506 / Seismic magnitude estimation / Open access
Aki maximum-likelihood b-value: minimum event count · case 01
A single event above Mc produces a b-value.
ROOT CAUSE
The minimum sample guard accepts one event.
VERIFIED REPAIR
Require at least 2 events.
Unsuccessful approach: Requiring 3 rejects valid two-event estimates.
Case contract
Magnitudes, completeness and bin width in tenths. Use events with M >= Mc; fewer than 2 returns None. b = log10(e) / (mean(M) - (Mc - dM/2)); non-positive denominator returns None. Return [b rounded 0.001, n, sigma = b/sqrt(n) rounded 0.001].
Why this case matters
Gutenberg-Richter b-values feed hazard rates and foreshock studies.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
import math
N = 1
observations = []
def solve(mags_x10, mc_x10, dm_x10):
sel = [m for m in mags_x10 if m >= mc_x10]
n = len(sel)
if n < 1:
return None
mean = sum(sel) / n / 10.0
denom = mean - (mc_x10 - dm_x10 / 2.0) / 10.0
if denom <= 0:
return None
b = math.log10(math.e) / denom
return [round(b, 3), n, round(b / math.sqrt(n), 3)]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['catalogue 0', [[10, 41, 21, 20, 12], 20, 1], [0.554, 3, 0.32]], ['catalogue 1', [[18, 21, 15, 10, 25, 41, 34, 20, 20, 34, 30], 15, 1], [0.384, 10, 0.122]], ['catalogue 2', [[25, 25, 22], 15, 1], [0.457, 3, 0.264]], ['catalogue 3', [[15, 15, 25, 12, 22, 34, 20, 25], 15, 1], [0.558, 7, 0.211]], ['catalogue 4', [[25, 41, 25, 15, 25, 25, 30], 15, 1], [0.36, 7, 0.136]], ['catalogue 5', [[30, 12], 20, 1], None], ['catalogue 6', [[22, 25, 10], 15, 1], [0.483, 2, 0.341]], ['catalogue 9', [[34, 15, 20, 12, 15], 20, 1], [0.579, 2, 0.409]]], [['catalogue 7', [[34], 20, 1], None], ['catalogue 8', [[25, 25, 18, 15, 34], 15, 1], [0.488, 5, 0.218]], ['catalogue 9', [[34, 15, 20, 12, 15], 20, 1], [0.579, 2, 0.409]], ['catalogue 10', [[22, 21, 25, 30, 20, 15, 22], 15, 1], [0.568, 7, 0.215]], ['catalogue 11', [[30, 21, 25], 20, 1], [0.745, 3, 0.43]], ['catalogue 12', [[25, 15, 18, 25, 22, 15, 20, 12], 20, 1], [1.241, 4, 0.62]], ['catalogue 13', [[34, 20, 12, 18, 20, 15, 25, 25, 41], 20, 1], [0.543, 6, 0.222]], ['catalogue 21', [[20], 15, 1], None]], [['catalogue 9', [[34, 15, 20, 12, 15], 20, 1], [0.579, 2, 0.409]], ['catalogue 14', [[15], 15, 1], None], ['catalogue 15', [[20, 12, 25, 25, 22, 25, 20, 21, 30, 10, 41, 25], 15, 1], [0.398, 10, 0.126]], ['catalogue 16', [[10, 15, 20, 22], 20, 1], [2.895, 2, 2.047]], ['catalogue 17', [[22, 10, 20, 18, 25, 10, 15], 20, 1], [1.533, 3, 0.885]], ['catalogue 18', [[22, 34, 20, 18], 15, 1], [0.483, 4, 0.241]], ['catalogue 19', [[20, 41, 25, 30], 15, 1], [0.3, 4, 0.15]], ['single event above Mc', [[10, 25], 20, 1], None]], [['catalogue 9', [[34, 15, 20, 12, 15], 20, 1], [0.579, 2, 0.409]], ['catalogue 14', [[15], 15, 1], None], ['catalogue 21', [[20], 15, 1], None], ['catalogue 22', [[15, 25, 15, 21, 22, 41, 18, 20, 10, 10], 15, 1], [0.57, 8, 0.201]], ['catalogue 23', [[21, 34, 18], 20, 1], [0.543, 2, 0.384]], ['catalogue 24', [[20], 20, 1], None], ['catalogue 25', [[25, 34, 34, 20, 12], 20, 1], [0.496, 4, 0.248]], ['catalogue 26', [[25, 18, 25, 10, 10, 41, 20, 12, 34, 25], 15, 1], [0.351, 7, 0.133]]], [['catalogue 9', [[34, 15, 20, 12, 15], 20, 1], [0.579, 2, 0.409]], ['catalogue 28', [[22, 18, 21, 25, 20, 15], 15, 1], [0.766, 6, 0.313]], ['catalogue 29', [[12, 25, 15, 20, 22, 41], 15, 1], [0.43, 5, 0.192]], ['catalogue 30', [[22], 20, 1], None], ['catalogue 31', [[10, 18, 22, 41, 30, 18, 41, 20, 25, 10, 22, 34], 15, 1], [0.345, 10, 0.109]], ['catalogue 32', [[20, 20, 25], 15, 1], [0.606, 3, 0.35]], ['catalogue 33', [[34, 18, 15, 12, 25, 34, 21, 30, 15, 41], 15, 1], [0.381, 9, 0.127]], ['event one bin below Mc', [[19, 20, 25, 30], 20, 1], [0.79, 3, 0.456]]]]
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 |
|---|---|---|---|
| catalogue 0 | [0.554, 3, 0.32] | [0.554, 3, 0.32] | Passed |
| catalogue 1 | [0.384, 10, 0.122] | [0.384, 10, 0.122] | Passed |
| catalogue 2 | [0.457, 3, 0.264] | [0.457, 3, 0.264] | Passed |
| catalogue 3 | [0.558, 7, 0.211] | [0.558, 7, 0.211] | Passed |
| catalogue 4 | [0.36, 7, 0.136] | [0.36, 7, 0.136] | Passed |
| catalogue 5 | [0.414, 1, 0.414] | None | Failed |
| catalogue 6 | [0.483, 2, 0.341] | [0.483, 2, 0.341] | Passed |
| catalogue 9 | [0.579, 2, 0.409] | [0.579, 2, 0.409] | Passed |
SHA-256 / ccb6bbfbb513847e6d4e071b4d088e9fc2395bc2d11b69cb31b2100733d13e4d
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
import math
N = 1
observations = []
def solve(mags_x10, mc_x10, dm_x10):
sel = [m for m in mags_x10 if m >= mc_x10]
n = len(sel)
if n <= 2:
return None
mean = sum(sel) / n / 10.0
denom = mean - (mc_x10 - dm_x10 / 2.0) / 10.0
if denom <= 0:
return None
b = math.log10(math.e) / denom
return [round(b, 3), n, round(b / math.sqrt(n), 3)]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['catalogue 0', [[10, 41, 21, 20, 12], 20, 1], [0.554, 3, 0.32]], ['catalogue 1', [[18, 21, 15, 10, 25, 41, 34, 20, 20, 34, 30], 15, 1], [0.384, 10, 0.122]], ['catalogue 2', [[25, 25, 22], 15, 1], [0.457, 3, 0.264]], ['catalogue 3', [[15, 15, 25, 12, 22, 34, 20, 25], 15, 1], [0.558, 7, 0.211]], ['catalogue 4', [[25, 41, 25, 15, 25, 25, 30], 15, 1], [0.36, 7, 0.136]], ['catalogue 5', [[30, 12], 20, 1], None], ['catalogue 6', [[22, 25, 10], 15, 1], [0.483, 2, 0.341]], ['catalogue 9', [[34, 15, 20, 12, 15], 20, 1], [0.579, 2, 0.409]]], [['catalogue 7', [[34], 20, 1], None], ['catalogue 8', [[25, 25, 18, 15, 34], 15, 1], [0.488, 5, 0.218]], ['catalogue 9', [[34, 15, 20, 12, 15], 20, 1], [0.579, 2, 0.409]], ['catalogue 10', [[22, 21, 25, 30, 20, 15, 22], 15, 1], [0.568, 7, 0.215]], ['catalogue 11', [[30, 21, 25], 20, 1], [0.745, 3, 0.43]], ['catalogue 12', [[25, 15, 18, 25, 22, 15, 20, 12], 20, 1], [1.241, 4, 0.62]], ['catalogue 13', [[34, 20, 12, 18, 20, 15, 25, 25, 41], 20, 1], [0.543, 6, 0.222]], ['catalogue 21', [[20], 15, 1], None]], [['catalogue 9', [[34, 15, 20, 12, 15], 20, 1], [0.579, 2, 0.409]], ['catalogue 14', [[15], 15, 1], None], ['catalogue 15', [[20, 12, 25, 25, 22, 25, 20, 21, 30, 10, 41, 25], 15, 1], [0.398, 10, 0.126]], ['catalogue 16', [[10, 15, 20, 22], 20, 1], [2.895, 2, 2.047]], ['catalogue 17', [[22, 10, 20, 18, 25, 10, 15], 20, 1], [1.533, 3, 0.885]], ['catalogue 18', [[22, 34, 20, 18], 15, 1], [0.483, 4, 0.241]], ['catalogue 19', [[20, 41, 25, 30], 15, 1], [0.3, 4, 0.15]], ['single event above Mc', [[10, 25], 20, 1], None]], [['catalogue 9', [[34, 15, 20, 12, 15], 20, 1], [0.579, 2, 0.409]], ['catalogue 14', [[15], 15, 1], None], ['catalogue 21', [[20], 15, 1], None], ['catalogue 22', [[15, 25, 15, 21, 22, 41, 18, 20, 10, 10], 15, 1], [0.57, 8, 0.201]], ['catalogue 23', [[21, 34, 18], 20, 1], [0.543, 2, 0.384]], ['catalogue 24', [[20], 20, 1], None], ['catalogue 25', [[25, 34, 34, 20, 12], 20, 1], [0.496, 4, 0.248]], ['catalogue 26', [[25, 18, 25, 10, 10, 41, 20, 12, 34, 25], 15, 1], [0.351, 7, 0.133]]], [['catalogue 9', [[34, 15, 20, 12, 15], 20, 1], [0.579, 2, 0.409]], ['catalogue 28', [[22, 18, 21, 25, 20, 15], 15, 1], [0.766, 6, 0.313]], ['catalogue 29', [[12, 25, 15, 20, 22, 41], 15, 1], [0.43, 5, 0.192]], ['catalogue 30', [[22], 20, 1], None], ['catalogue 31', [[10, 18, 22, 41, 30, 18, 41, 20, 25, 10, 22, 34], 15, 1], [0.345, 10, 0.109]], ['catalogue 32', [[20, 20, 25], 15, 1], [0.606, 3, 0.35]], ['catalogue 33', [[34, 18, 15, 12, 25, 34, 21, 30, 15, 41], 15, 1], [0.381, 9, 0.127]], ['event one bin below Mc', [[19, 20, 25, 30], 20, 1], [0.79, 3, 0.456]]]]
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 |
|---|---|---|---|
| catalogue 0 | [0.554, 3, 0.32] | [0.554, 3, 0.32] | Passed |
| catalogue 1 | [0.384, 10, 0.122] | [0.384, 10, 0.122] | Passed |
| catalogue 2 | [0.457, 3, 0.264] | [0.457, 3, 0.264] | Passed |
| catalogue 3 | [0.558, 7, 0.211] | [0.558, 7, 0.211] | Passed |
| catalogue 4 | [0.36, 7, 0.136] | [0.36, 7, 0.136] | Passed |
| catalogue 5 | None | None | Passed |
| catalogue 6 | None | [0.483, 2, 0.341] | Failed |
| catalogue 9 | None | [0.579, 2, 0.409] | Failed |
SHA-256 / ce6698f0de762742bb0210963f4f62a69efd1f9246d308c49a834821f064bae6
3 / The verified repair
Exit 0"""Failure Map reference implementation. Python standard library only."""
import json
import math
N = 1
observations = []
def solve(mags_x10, mc_x10, dm_x10):
sel = [m for m in mags_x10 if m >= mc_x10]
n = len(sel)
if n < 2:
return None
mean = sum(sel) / n / 10.0
denom = mean - (mc_x10 - dm_x10 / 2.0) / 10.0
if denom <= 0:
return None
b = math.log10(math.e) / denom
return [round(b, 3), n, round(b / math.sqrt(n), 3)]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['catalogue 0', [[10, 41, 21, 20, 12], 20, 1], [0.554, 3, 0.32]], ['catalogue 1', [[18, 21, 15, 10, 25, 41, 34, 20, 20, 34, 30], 15, 1], [0.384, 10, 0.122]], ['catalogue 2', [[25, 25, 22], 15, 1], [0.457, 3, 0.264]], ['catalogue 3', [[15, 15, 25, 12, 22, 34, 20, 25], 15, 1], [0.558, 7, 0.211]], ['catalogue 4', [[25, 41, 25, 15, 25, 25, 30], 15, 1], [0.36, 7, 0.136]], ['catalogue 5', [[30, 12], 20, 1], None], ['catalogue 6', [[22, 25, 10], 15, 1], [0.483, 2, 0.341]], ['catalogue 9', [[34, 15, 20, 12, 15], 20, 1], [0.579, 2, 0.409]]], [['catalogue 7', [[34], 20, 1], None], ['catalogue 8', [[25, 25, 18, 15, 34], 15, 1], [0.488, 5, 0.218]], ['catalogue 9', [[34, 15, 20, 12, 15], 20, 1], [0.579, 2, 0.409]], ['catalogue 10', [[22, 21, 25, 30, 20, 15, 22], 15, 1], [0.568, 7, 0.215]], ['catalogue 11', [[30, 21, 25], 20, 1], [0.745, 3, 0.43]], ['catalogue 12', [[25, 15, 18, 25, 22, 15, 20, 12], 20, 1], [1.241, 4, 0.62]], ['catalogue 13', [[34, 20, 12, 18, 20, 15, 25, 25, 41], 20, 1], [0.543, 6, 0.222]], ['catalogue 21', [[20], 15, 1], None]], [['catalogue 9', [[34, 15, 20, 12, 15], 20, 1], [0.579, 2, 0.409]], ['catalogue 14', [[15], 15, 1], None], ['catalogue 15', [[20, 12, 25, 25, 22, 25, 20, 21, 30, 10, 41, 25], 15, 1], [0.398, 10, 0.126]], ['catalogue 16', [[10, 15, 20, 22], 20, 1], [2.895, 2, 2.047]], ['catalogue 17', [[22, 10, 20, 18, 25, 10, 15], 20, 1], [1.533, 3, 0.885]], ['catalogue 18', [[22, 34, 20, 18], 15, 1], [0.483, 4, 0.241]], ['catalogue 19', [[20, 41, 25, 30], 15, 1], [0.3, 4, 0.15]], ['single event above Mc', [[10, 25], 20, 1], None]], [['catalogue 9', [[34, 15, 20, 12, 15], 20, 1], [0.579, 2, 0.409]], ['catalogue 14', [[15], 15, 1], None], ['catalogue 21', [[20], 15, 1], None], ['catalogue 22', [[15, 25, 15, 21, 22, 41, 18, 20, 10, 10], 15, 1], [0.57, 8, 0.201]], ['catalogue 23', [[21, 34, 18], 20, 1], [0.543, 2, 0.384]], ['catalogue 24', [[20], 20, 1], None], ['catalogue 25', [[25, 34, 34, 20, 12], 20, 1], [0.496, 4, 0.248]], ['catalogue 26', [[25, 18, 25, 10, 10, 41, 20, 12, 34, 25], 15, 1], [0.351, 7, 0.133]]], [['catalogue 9', [[34, 15, 20, 12, 15], 20, 1], [0.579, 2, 0.409]], ['catalogue 28', [[22, 18, 21, 25, 20, 15], 15, 1], [0.766, 6, 0.313]], ['catalogue 29', [[12, 25, 15, 20, 22, 41], 15, 1], [0.43, 5, 0.192]], ['catalogue 30', [[22], 20, 1], None], ['catalogue 31', [[10, 18, 22, 41, 30, 18, 41, 20, 25, 10, 22, 34], 15, 1], [0.345, 10, 0.109]], ['catalogue 32', [[20, 20, 25], 15, 1], [0.606, 3, 0.35]], ['catalogue 33', [[34, 18, 15, 12, 25, 34, 21, 30, 15, 41], 15, 1], [0.381, 9, 0.127]], ['event one bin below Mc', [[19, 20, 25, 30], 20, 1], [0.79, 3, 0.456]]]]
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 |
|---|---|---|---|
| catalogue 0 | [0.554, 3, 0.32] | [0.554, 3, 0.32] | Passed |
| catalogue 1 | [0.384, 10, 0.122] | [0.384, 10, 0.122] | Passed |
| catalogue 2 | [0.457, 3, 0.264] | [0.457, 3, 0.264] | Passed |
| catalogue 3 | [0.558, 7, 0.211] | [0.558, 7, 0.211] | Passed |
| catalogue 4 | [0.36, 7, 0.136] | [0.36, 7, 0.136] | Passed |
| catalogue 5 | None | None | Passed |
| catalogue 6 | [0.483, 2, 0.341] | [0.483, 2, 0.341] | Passed |
| catalogue 9 | [0.579, 2, 0.409] | [0.579, 2, 0.409] | Passed |
SHA-256 / 1750e2ab2e9ee76d75e966718cd2bd19a7b7d393d2247a42ea9c138f35f5f283
Verification & scope
Stipulated deterministic teaching model of a seismological magnitude procedure; constants and tables are fixed by the contract and no claim of agency or standards conformance is made. 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 2026-09-29T14:48:30.292484+00:00.
Case digest / 69e11d88d4da0f186a34039104044d109a38aad5062d3b6e7bf501398c821201