CI: (deps): Bump scipy from 1.10.1 to 1.11.1 in /ci#3094
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Bumps [scipy](https://github.com/scipy/scipy) from 1.10.1 to 1.11.1. - [Release notes](https://github.com/scipy/scipy/releases) - [Commits](scipy/scipy@v1.10.1...v1.11.1) --- updated-dependencies: - dependency-name: scipy dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <support@github.com>
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This test was added in #2263, but not sure if the functionality worked before then. Regardless, scipy now disallows passing nan for initial values to solve_ivp, so instead of trying to hack around it, just let the scipy error persist and don't trigger it in our code.
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Scipy disallowed non-finite initial values in scipy/scipy#18077. |
dcamron
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Jul 26, 2023
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Bumps scipy from 1.10.1 to 1.11.1.
Release notes
Sourced from scipy's releases.
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Commits
cfe8011REL: 1.11.1 rel commit [wheel build]450d8aaMerge pull request #18779 from tylerjereddy/treddy_1_11_1_prep6f942e8DOC: update 1.11.1 relnotes145cec5MAINT: fix unuran licensing0760babMAINT:linalg.det:Return scalars for singleton inputs (#18763)a1c6f99MAINT:linalg:Use only NumPy types in lu5cdc2feMAINT:linalg:Remove memcpy from lud9ac3f3FIX:linalg:Guard against possible permute_l out of bound behavior7ec5010BUG: fix handling forfactorial(..., exact=False)for 0-dim array inputs (#...90415c6BUG: Fix work array construction for various weight shapes. (#18741)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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