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scikit-hep / iminuit / 34868717967
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Build:
DEFAULT BRANCH: develop
Ran 14 Sep 2026 04:30PM UTC
Jobs 1
Files 18
Run time 1min
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14 Sep 2026 04:27PM UTC coverage: 99.723%. Remained the same
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fix: keep the seed gradient when hesse runs without a minimum (#1207)

:robot: _AI text below_ :robot:

`Minuit(lambda x: (x - 1) ** 2, x=0).hesse()` set `hesse_failed` and
gave no covariance. The same happened after `migrad()` when the user set
a parameter back to 0 and called `hesse()`. The `init` function in
`functionminimum_extra.cpp` built the `MinimumState` with an empty
`FunctionGradient`, so `MnHesse` started from zero step sizes, which it
clamps to about 3e-14 at a parameter value of 0. The fix passes
`seed.Gradient()` into the `MinimumState`; `MinimumError(n)` stays unset
so no covariance is claimed. With this change a user-supplied `hessian=`
callable also takes the analytical path in this case (`nhessian > 0`).

Part of #1192

3961 of 3972 relevant lines covered (99.72%)

1.0 hits per line

Jobs
ID Job ID Ran Files Coverage
1 34868717967.1 14 Sep 2026 04:30PM UTC 18
99.72
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Source Files on build 34868717967
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