Non-constant sparse inputs can't be handled because JAX does not allow Scipy sparse matrices as inputs. We could implement a BCOO type explicitly but this would be JAX exclusive, and the user would need to use it from the get go, meaning such graphs would not be compatible with other backends.

Bumps [pypa/gh-action-pypi-publish](https://github.com/pypa/gh-action-pypi-publish) from 1.8.3 to 1.8.4.
- [Release notes](https://github.com/pypa/gh-action-pypi-publish/releases)
- [Commits](https://github.com/pypa/gh-action-pypi-publish/compare/v1.8.3...v1.8.4)

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Bumps [pypa/gh-action-pypi-publish](https://github.com/pypa/gh-action-pypi-publish) from 1.8.1 to 1.8.3.
- [Release notes](https://github.com/pypa/gh-action-pypi-publish/releases)
- [Commits](https://github.com/pypa/gh-action-pypi-publish/compare/v1.8.1...v1.8.3)

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* Rename old get_scalar_constant_value to get_underlying_scalar_constant

Bumps [pypa/cibuildwheel](https://github.com/pypa/cibuildwheel) from 2.12.0 to 2.12.1.
- [Release notes](https://github.com/pypa/cibuildwheel/releases)
- [Changelog](https://github.com/pypa/cibuildwheel/blob/main/docs/changelog.md)
- [Commits](https://github.com/pypa/cibuildwheel/compare/v2.12.0...v2.12.1)

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Bumps [pypa/gh-action-pypi-publish](https://github.com/pypa/gh-action-pypi-publish) from 1.5.0 to 1.8.1.
- [Release notes](https://github.com/pypa/gh-action-pypi-publish/releases)
- [Commits](https://github.com/pypa/gh-action-pypi-publish/compare/v1.5.0...v1.8.1)

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JAX behavior at the boundary changed and no longer returns np.inf like scipy does. Fixed by evaluating at a non-boundary value.

Without extracting the underlying numeric value of a constant TensorVariable `length`, `stop == length` would always fail.

* Rename sgn to sign

Bumps [actions/download-artifact](https://github.com/actions/download-artifact) from 2 to 3.
- [Release notes](https://github.com/actions/download-artifact/releases)
- [Commits](https://github.com/actions/download-artifact/compare/v2...v3)

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Empty DimShuffles would return a scalar instead of an array, which can then lead to errors in ops that expect an array.