fix(deps): Update dependency numpy to v2.2.2 (#275)

cq-bot · web-flow · commit 1588459bc938 · 2025-02-01T01:04:24.000Z
This PR contains the following updates: | Package | Update | Change | |---|---|---| | [numpy](https://togithub.com/numpy/numpy) ([changelog](https://numpy.org/doc/stable/release)) | patch | `==2.2.1` -> `==2.2.2` | --- ### Release Notes <details> <summary>numpy/numpy (numpy)</summary> ### [`v2.2.2`](https://togithub.com/numpy/numpy/releases/tag/v2.2.2): 2.2.2 (Jan 18, 2025) [Compare Source](https://togithub.com/numpy/numpy/compare/v2.2.1...v2.2.2) ### NumPy 2.2.2 Release Notes NumPy 2.2.2 is a patch release that fixes bugs found after the 2.2.1 release. The number of typing fixes/updates is notable. This release supports Python versions 3.10-3.13. #### Contributors A total of 8 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Alicia Boya García + - Charles Harris - Joren Hammudoglu - Kai Germaschewski + - Nathan Goldbaum - PTUsumit + - Rohit Goswami - Sebastian Berg #### Pull requests merged A total of 16 pull requests were merged for this release. - [#&#8203;28050](https://togithub.com/numpy/numpy/pull/28050): MAINT: Prepare 2.2.x for further development - [#&#8203;28055](https://togithub.com/numpy/numpy/pull/28055): TYP: fix `void` arrays not accepting `str` keys in `__setitem__` - [#&#8203;28066](https://togithub.com/numpy/numpy/pull/28066): TYP: fix unnecessarily broad `integer` binop return types ([#&#8203;28065](https://togithub.com/numpy/numpy/issues/28065)) - [#&#8203;28112](https://togithub.com/numpy/numpy/pull/28112): TYP: Better `ndarray` binop return types for `float64` &... - [#&#8203;28113](https://togithub.com/numpy/numpy/pull/28113): TYP: Return the correct `bool` from `issubdtype` - [#&#8203;28114](https://togithub.com/numpy/numpy/pull/28114): TYP: Always accept `date[time]` in the `datetime64` constructor - [#&#8203;28120](https://togithub.com/numpy/numpy/pull/28120): BUG: Fix auxdata initialization in ufunc slow path - [#&#8203;28131](https://togithub.com/numpy/numpy/pull/28131): BUG: move reduction initialization to ufunc initialization - [#&#8203;28132](https://togithub.com/numpy/numpy/pull/28132): TYP: Fix `interp` to accept and return scalars - [#&#8203;28137](https://togithub.com/numpy/numpy/pull/28137): BUG: call PyType_Ready in f2py to avoid data races - [#&#8203;28145](https://togithub.com/numpy/numpy/pull/28145): BUG: remove unnecessary call to PyArray_UpdateFlags - [#&#8203;28160](https://togithub.com/numpy/numpy/pull/28160): BUG: Avoid data race in PyArray_CheckFromAny_int - [#&#8203;28175](https://togithub.com/numpy/numpy/pull/28175): BUG: Fix f2py directives and --lower casing - [#&#8203;28176](https://togithub.com/numpy/numpy/pull/28176): TYP: Fix overlapping overloads issue in 2->1 ufuncs - [#&#8203;28177](https://togithub.com/numpy/numpy/pull/28177): TYP: preserve shape-type in ndarray.astype() - [#&#8203;28178](https://togithub.com/numpy/numpy/pull/28178): TYP: Fix missing and spurious top-level exports #### Checksums ##### MD5 749cb2adf8043551aae22bbf0ed3130a numpy-2.2.2-cp310-cp310-macosx_10_9_x86_64.whl bc79fa2e44316b7ce9bacb48a993ed91 numpy-2.2.2-cp310-cp310-macosx_11_0_arm64.whl c6b2caa2bbb645b5950dccb77efb1dbb numpy-2.2.2-cp310-cp310-macosx_14_0_arm64.whl 8c410efac169af880cacbbac8a731658 numpy-2.2.2-cp310-cp310-macosx_14_0_x86_64.whl 21d165669635a9b680d03b0b4e7f5b98 numpy-2.2.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl a34ef5e7c967136fdc59c822e99f87d6 numpy-2.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl a81749effc5160ff8dde7eb2ebe868c4 numpy-2.2.2-cp310-cp310-musllinux_1_2_aarch64.whl 546612d82fae082697879aaf2b985b1b numpy-2.2.2-cp310-cp310-musllinux_1_2_x86_64.whl 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diff --git a/setup.py b/setup.py
@@ -18,7 +18,7 @@
     "iniconfig==2.0.0",
     "Jinja2==3.1.5",
     "MarkupSafe==3.0.2",
-    "numpy==2.2.1",
+    "numpy==2.2.2",
     "packaging==24.2",
     "pandas==2.2.3",
     "pluggy==1.5.0",
