team581 / 2024-offseason-comp

Team 581's robot software for our competition robot from the 2024 FRC offseason
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Update dependency numpy to v2.1.1 #47

Closed renovate[bot] closed 1 month ago

renovate[bot] commented 3 months ago

This PR contains the following updates:

Package Change Age Adoption Passing Confidence
numpy (source, changelog) ==2.0.0 -> ==2.1.1 age adoption passing confidence

Release Notes

numpy/numpy (numpy) ### [`v2.1.1`](https://redirect.github.com/numpy/numpy/compare/v2.1.0...v2.1.1) [Compare Source](https://redirect.github.com/numpy/numpy/compare/v2.1.0...v2.1.1) ### [`v2.1.0`](https://redirect.github.com/numpy/numpy/compare/v2.0.1...v2.1.0) [Compare Source](https://redirect.github.com/numpy/numpy/compare/v2.0.2...v2.1.0) ### [`v2.0.2`](https://redirect.github.com/numpy/numpy/releases/tag/v2.0.2): NumPy 2.0.2 release (Aug 26, 2024) [Compare Source](https://redirect.github.com/numpy/numpy/compare/v2.0.1...v2.0.2) ##### NumPy 2.0.2 Release Notes NumPy 2.0.2 is a maintenance release that fixes bugs and regressions discovered after the 2.0.1 release. The Python versions supported by this release are 3.9-3.12. ##### Contributors A total of 13 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Bruno Oliveira + - Charles Harris - Chris Sidebottom - Christian Heimes + - Christopher Sidebottom - Mateusz Sokół - Matti Picus - Nathan Goldbaum - Pieter Eendebak - Raghuveer Devulapalli - Ralf Gommers - Sebastian Berg - Yair Chuchem + ##### Pull requests merged A total of 19 pull requests were merged for this release. - [#​27000](https://redirect.github.com/numpy/numpy/pull/27000): REL: Prepare for the NumPy 2.0.1 release \[wheel build] - [#​27001](https://redirect.github.com/numpy/numpy/pull/27001): MAINT: prepare 2.0.x for further development - [#​27021](https://redirect.github.com/numpy/numpy/pull/27021): BUG: cfuncs.py: fix crash when sys.stderr is not available - [#​27022](https://redirect.github.com/numpy/numpy/pull/27022): DOC: Fix migration note for `alltrue` and `sometrue` - [#​27061](https://redirect.github.com/numpy/numpy/pull/27061): BUG: use proper input and output descriptor in array_assign_subscript... - [#​27073](https://redirect.github.com/numpy/numpy/pull/27073): BUG: Mirror VQSORT_ENABLED logic in Quicksort - [#​27074](https://redirect.github.com/numpy/numpy/pull/27074): BUG: Bump Highway to latest master - [#​27077](https://redirect.github.com/numpy/numpy/pull/27077): BUG: Off by one in memory overlap check - [#​27122](https://redirect.github.com/numpy/numpy/pull/27122): BUG: Use the new `npyv_loadable_stride_` functions for ldexp and... - [#​27126](https://redirect.github.com/numpy/numpy/pull/27126): BUG: Bump Highway to latest - [#​27128](https://redirect.github.com/numpy/numpy/pull/27128): BUG: add missing error handling in public_dtype_api.c - [#​27129](https://redirect.github.com/numpy/numpy/pull/27129): BUG: fix another cast setup in array_assign_subscript - [#​27130](https://redirect.github.com/numpy/numpy/pull/27130): BUG: Fix building NumPy in FIPS mode - [#​27131](https://redirect.github.com/numpy/numpy/pull/27131): BLD: update vendored Meson for cross-compilation patches - [#​27146](https://redirect.github.com/numpy/numpy/pull/27146): MAINT: Scipy openblas 0.3.27.44.4 - [#​27151](https://redirect.github.com/numpy/numpy/pull/27151): BUG: Do not accidentally store dtype metadata in `np.save` - [#​27195](https://redirect.github.com/numpy/numpy/pull/27195): REV: Revert undef I and document it - [#​27213](https://redirect.github.com/numpy/numpy/pull/27213): BUG: Fix NPY_RAVEL_AXIS on backwards compatible NumPy 2 builds - [#​27279](https://redirect.github.com/numpy/numpy/pull/27279): BUG: Fix array_equal for numeric and non-numeric scalar types ##### Checksums ##### MD5 ae4bc199b56d20305984b7465d6fbdf1 numpy-2.0.2-cp310-cp310-macosx_10_9_x86_64.whl ecce0a682c2ccaaa14500b87ffb69f63 numpy-2.0.2-cp310-cp310-macosx_11_0_arm64.whl a94f34bec8a62dab95ce9883a87a82a6 numpy-2.0.2-cp310-cp310-macosx_14_0_arm64.whl a0a26dadf73264d31b7a6952b816d7c8 numpy-2.0.2-cp310-cp310-macosx_14_0_x86_64.whl 972f4366651a1a2ef00f630595104d15 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