chore(deps): update dependency numpy to v1.25.1

[renovate[bot]]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
numpy (source)	==1.25.0 -> ==1.25.1

---

Release Notes

numpy/numpy (numpy)

### [`v1.25.1`](https://togithub.com/numpy/numpy/releases/tag/v1.25.1) [Compare Source](https://togithub.com/numpy/numpy/compare/v1.25.0...v1.25.1) ### NumPy 1.25.1 Release Notes NumPy 1.25.1 is a maintenance release that fixes bugs and regressions discovered after the 1.25.0 release. The Python versions supported by this release are 3.9-3.11. #### Contributors A total of 10 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Andrew Nelson - Charles Harris - Developer-Ecosystem-Engineering - Hood Chatham - Nathan Goldbaum - Rohit Goswami - Sebastian Berg - Tim Paine + - dependabot\[bot] - matoro + #### Pull requests merged A total of 14 pull requests were merged for this release. - [#​23968](https://togithub.com/numpy/numpy/pull/23968): MAINT: prepare 1.25.x for further development - [#​24036](https://togithub.com/numpy/numpy/pull/24036): BLD: Port long double identification to C for meson - [#​24037](https://togithub.com/numpy/numpy/pull/24037): BUG: Fix reduction `return NULL` to be `goto fail` - [#​24038](https://togithub.com/numpy/numpy/pull/24038): BUG: Avoid undefined behavior in array.astype() - [#​24039](https://togithub.com/numpy/numpy/pull/24039): BUG: Ensure `__array_ufunc__` works without any kwargs passed - [#​24117](https://togithub.com/numpy/numpy/pull/24117): MAINT: Pin urllib3 to avoid anaconda-client bug. - [#​24118](https://togithub.com/numpy/numpy/pull/24118): TST: Pin pydantic<2 in Pyodide workflow - [#​24119](https://togithub.com/numpy/numpy/pull/24119): MAINT: Bump pypa/cibuildwheel from 2.13.0 to 2.13.1 - [#​24120](https://togithub.com/numpy/numpy/pull/24120): MAINT: Bump actions/checkout from 3.5.2 to 3.5.3 - [#​24122](https://togithub.com/numpy/numpy/pull/24122): BUG: Multiply or Divides using SIMD without a full vector can... - [#​24127](https://togithub.com/numpy/numpy/pull/24127): MAINT: testing for IS_MUSL closes [#​24074](https://togithub.com/numpy/numpy/issues/24074) - [#​24128](https://togithub.com/numpy/numpy/pull/24128): BUG: Only replace dtype temporarily if dimensions changed - [#​24129](https://togithub.com/numpy/numpy/pull/24129): MAINT: Bump actions/setup-node from 3.6.0 to 3.7.0 - [#​24134](https://togithub.com/numpy/numpy/pull/24134): BUG: Fix private procedures in f2py modules #### Checksums ##### MD5 d09d98643db31e892fad11b8c2b7af22 numpy-1.25.1-cp310-cp310-macosx_10_9_x86_64.whl d5b8d3b0424e2af41018f35a087c4500 numpy-1.25.1-cp310-cp310-macosx_11_0_arm64.whl 1007893b1a8bfd97d445a63d29d33642 numpy-1.25.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 6a62d7a6cee310b41dc872aa7f3d7e8b numpy-1.25.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl e81f6264aecfa2269c5d29d10c362cbc numpy-1.25.1-cp310-cp310-musllinux_1_1_x86_64.whl ab8ecd125ca86eac0b3ada67ab66dad6 numpy-1.25.1-cp310-cp310-win32.whl 5466bebeaafcc3d6e1b98858d77ff945 numpy-1.25.1-cp310-cp310-win_amd64.whl f31b059256ae09b7b83df63f52d8371e numpy-1.25.1-cp311-cp311-macosx_10_9_x86_64.whl 099f74d654888869704469c321af845d numpy-1.25.1-cp311-cp311-macosx_11_0_arm64.whl 20d04dccd2bfca5cfd88780d1dc9a3f8 numpy-1.25.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 61dfd7c00638e83a7af59b86615ee9d2 numpy-1.25.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 4eb459c3d9479c4da2fdf20e4c4085d0 numpy-1.25.1-cp311-cp311-musllinux_1_1_x86_64.whl 5e84e797866c68ba65fa89a4bf4ba8ce numpy-1.25.1-cp311-cp311-win32.whl 87bb1633b2e8029dbfa1e59f7ab22625 numpy-1.25.1-cp311-cp311-win_amd64.whl 3fcf2eb5970d848a26abdff1b10228e7 numpy-1.25.1-cp39-cp39-macosx_10_9_x86_64.whl d71e1cbe18fe05944219e5a5be1796bf numpy-1.25.1-cp39-cp39-macosx_11_0_arm64.whl 5b457e10834c991bca84aae7eaa49f34 numpy-1.25.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 5cbb4c2f2892fafdf6f34fcb37c9e743 numpy-1.25.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 7d9d1ae23cf5420652088bfe8e048d89 numpy-1.25.1-cp39-cp39-musllinux_1_1_x86_64.whl 7e5bed491b85f0d7c718d6809f9b3ed2 numpy-1.25.1-cp39-cp39-win32.whl 838e97b751bebadf47e2196b2c88ffa2 numpy-1.25.1-cp39-cp39-win_amd64.whl 9ba95d8d6004d9659d7728fe93f67be9 numpy-1.25.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl fbccb20254a2dc85bdec549a03b8eb56 numpy-1.25.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 95e36689e6dd078caf11e7e2a2d5f5f1 numpy-1.25.1-pp39-pypy39_pp73-win_amd64.whl 768d0ebf15e2242f4c7ca7565bb5dd3e numpy-1.25.1.tar.gz ##### SHA256 77d339465dff3eb33c701430bcb9c325b60354698340229e1dff97745e6b3efa numpy-1.25.1-cp310-cp310-macosx_10_9_x86_64.whl d736b75c3f2cb96843a5c7f8d8ccc414768d34b0a75f466c05f3a739b406f10b numpy-1.25.1-cp310-cp310-macosx_11_0_arm64.whl 4a90725800caeaa160732d6b31f3f843ebd45d6b5f3eec9e8cc287e30f2805bf numpy-1.25.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 6c6c9261d21e617c6dc5eacba35cb68ec36bb72adcff0dee63f8fbc899362588 numpy-1.25.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 0def91f8af6ec4bb94c370e38c575855bf1d0be8a8fbfba42ef9c073faf2cf19 numpy-1.25.1-cp310-cp310-musllinux_1_1_x86_64.whl fd67b306320dcadea700a8f79b9e671e607f8696e98ec255915c0c6d6b818503 numpy-1.25.1-cp310-cp310-win32.whl c1516db588987450b85595586605742879e50dcce923e8973f79529651545b57 numpy-1.25.1-cp310-cp310-win_amd64.whl 6b82655dd8efeea69dbf85d00fca40013d7f503212bc5259056244961268b66e numpy-1.25.1-cp311-cp311-macosx_10_9_x86_64.whl e8f6049c4878cb16960fbbfb22105e49d13d752d4d8371b55110941fb3b17800 numpy-1.25.1-cp311-cp311-macosx_11_0_arm64.whl 41a56b70e8139884eccb2f733c2f7378af06c82304959e174f8e7370af112e09 numpy-1.25.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl d5154b1a25ec796b1aee12ac1b22f414f94752c5f94832f14d8d6c9ac40bcca6 numpy-1.25.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 38eb6548bb91c421261b4805dc44def9ca1a6eef6444ce35ad1669c0f1a3fc5d numpy-1.25.1-cp311-cp311-musllinux_1_1_x86_64.whl 791f409064d0a69dd20579345d852c59822c6aa087f23b07b1b4e28ff5880fcb numpy-1.25.1-cp311-cp311-win32.whl c40571fe966393b212689aa17e32ed905924120737194b5d5c1b20b9ed0fb171 numpy-1.25.1-cp311-cp311-win_amd64.whl 3d7abcdd85aea3e6cdddb59af2350c7ab1ed764397f8eec97a038ad244d2d105 numpy-1.25.1-cp39-cp39-macosx_10_9_x86_64.whl 1a180429394f81c7933634ae49b37b472d343cccb5bb0c4a575ac8bbc433722f numpy-1.25.1-cp39-cp39-macosx_11_0_arm64.whl d412c1697c3853c6fc3cb9751b4915859c7afe6a277c2bf00acf287d56c4e625 numpy-1.25.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 20e1266411120a4f16fad8efa8e0454d21d00b8c7cee5b5ccad7565d95eb42dd numpy-1.25.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl f76aebc3358ade9eacf9bc2bb8ae589863a4f911611694103af05346637df1b7 numpy-1.25.1-cp39-cp39-musllinux_1_1_x86_64.whl 247d3ffdd7775bdf191f848be8d49100495114c82c2bd134e8d5d075fb386a1c numpy-1.25.1-cp39-cp39-win32.whl 1d5d3c68e443c90b38fdf8ef40e60e2538a27548b39b12b73132456847f4b631 numpy-1.25.1-cp39-cp39-win_amd64.whl 35a9527c977b924042170a0887de727cd84ff179e478481404c5dc66b4170009 numpy-1.25.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl 0d3fe3dd0506a28493d82dc3cf254be8cd0d26f4008a417385cbf1ae95b54004 numpy-1.25.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 012097b5b0d00a11070e8f2e261128c44157a8689f7dedcf35576e525893f4fe numpy-1.25.1-pp39-pypy39_pp73-win_amd64.whl 9a3a9f3a61480cc086117b426a8bd86869c213fc4072e606f01c4e4b66eb92bf numpy-1.25.1.tar.gz

---

Configuration

📅 Schedule: Branch creation - At any time (no schedule defined), Automerge - At any time (no schedule defined).

🚦 Automerge: Disabled by config. Please merge this manually once you are satisfied.

♻ Rebasing: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.

🔕 Ignore: Close this PR and you won't be reminded about this update again.

---

• [ ] If you want to rebase/retry this PR, check this box

---

This PR has been generated by Mend Renovate. View repository job log here.