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dimastbk / python-calamine

Python binding for Rust's library for reading excel and odf file - calamine.
https://pypi.org/project/python-calamine/
MIT License
279 stars 6 forks source link

fix(deps): update dependency numpy to v2 #101

Open renovate[bot] opened 1 day ago

renovate[bot] commented 1 day ago

This PR contains the following updates:

Package Change Age Adoption Passing Confidence
numpy (changelog) ~=1.0 -> ~=2.1 age adoption passing confidence

Release Notes

numpy/numpy (numpy) ### [`v2.1.3`](https://redirect.github.com/numpy/numpy/releases/tag/v2.1.3): 2.1.3 (Nov 2, 2024) [Compare Source](https://redirect.github.com/numpy/numpy/compare/v2.1.2...v2.1.3) ### NumPy 2.1.3 Release Notes NumPy 2.1.3 is a maintenance release that fixes bugs and regressions discovered after the 2.1.2 release. This release also adds support for free threaded Python 3.13 on Windows. The Python versions supported by this release are 3.10-3.13. #### Improvements - Fixed a number of issues around promotion for string ufuncs with StringDType arguments. Mixing StringDType and the fixed-width DTypes using the string ufuncs should now generate much more uniform results. ([gh-27636](https://redirect.github.com/numpy/numpy/pull/27636)) #### Changes - `numpy.fix` now won't perform casting to a floating data-type for integer and boolean data-type input arrays. ([gh-26766](https://redirect.github.com/numpy/numpy/pull/26766)) #### Contributors A total of 15 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Abhishek Kumar + - Austin + - Benjamin A. Beasley + - Charles Harris - Christian Lorentzen - Marcel Telka + - Matti Picus - Michael Davidsaver + - Nathan Goldbaum - Peter Hawkins - Raghuveer Devulapalli - Ralf Gommers - Sebastian Berg - dependabot\[bot] - kp2pml30 + #### Pull requests merged A total of 21 pull requests were merged for this release. - [#​27512](https://redirect.github.com/numpy/numpy/pull/27512): MAINT: prepare 2.1.x for further development - [#​27537](https://redirect.github.com/numpy/numpy/pull/27537): MAINT: Bump actions/cache from 4.0.2 to 4.1.1 - [#​27538](https://redirect.github.com/numpy/numpy/pull/27538): MAINT: Bump pypa/cibuildwheel from 2.21.2 to 2.21.3 - [#​27539](https://redirect.github.com/numpy/numpy/pull/27539): MAINT: MSVC does not support #warning directive - [#​27543](https://redirect.github.com/numpy/numpy/pull/27543): BUG: Fix user dtype can-cast with python scalar during promotion - [#​27561](https://redirect.github.com/numpy/numpy/pull/27561): DEV: bump `python` to 3.12 in environment.yml - [#​27562](https://redirect.github.com/numpy/numpy/pull/27562): BLD: update vendored Meson to 1.5.2 - [#​27563](https://redirect.github.com/numpy/numpy/pull/27563): BUG: weighted quantile for some zero weights ([#​27549](https://redirect.github.com/numpy/numpy/issues/27549)) - [#​27565](https://redirect.github.com/numpy/numpy/pull/27565): MAINT: Use miniforge for macos conda test. - [#​27566](https://redirect.github.com/numpy/numpy/pull/27566): BUILD: satisfy gcc-13 pendantic errors - [#​27569](https://redirect.github.com/numpy/numpy/pull/27569): BUG: handle possible error for PyTraceMallocTrack - [#​27570](https://redirect.github.com/numpy/numpy/pull/27570): BLD: start building Windows free-threaded wheels \[wheel build] - [#​27571](https://redirect.github.com/numpy/numpy/pull/27571): BUILD: vendor tempita from Cython - [#​27574](https://redirect.github.com/numpy/numpy/pull/27574): BUG: Fix warning "differs in levels of indirection" in npy_atomic.h... - [#​27592](https://redirect.github.com/numpy/numpy/pull/27592): MAINT: Update Highway to latest - [#​27593](https://redirect.github.com/numpy/numpy/pull/27593): BUG: Adjust numpy.i for SWIG 4.3 compatibility - [#​27616](https://redirect.github.com/numpy/numpy/pull/27616): BUG: Fix Linux QEMU CI workflow - [#​27668](https://redirect.github.com/numpy/numpy/pull/27668): BLD: Do not set \__STDC_VERSION\_\_ to zero during build - [#​27669](https://redirect.github.com/numpy/numpy/pull/27669): ENH: fix wasm32 runtime type error in numpy.\_core - [#​27672](https://redirect.github.com/numpy/numpy/pull/27672): BUG: Fix a reference count leak in npy_find_descr_for_scalar. - [#​27673](https://redirect.github.com/numpy/numpy/pull/27673): BUG: fixes for StringDType/unicode promoters #### Checksums ##### MD5 3f2f22827dd321ae86b5ab4fa888d0db numpy-2.1.3-cp310-cp310-macosx_10_9_x86_64.whl 13da2761d1abe71731a2806537369115 numpy-2.1.3-cp310-cp310-macosx_11_0_arm64.whl 5aef4a78b69cd90d0f6fff8f88817991 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[`v2.1.2`](https://redirect.github.com/numpy/numpy/compare/v2.1.1...v2.1.2) [Compare Source](https://redirect.github.com/numpy/numpy/compare/v2.1.1...v2.1.2) ### [`v2.1.1`](https://redirect.github.com/numpy/numpy/releases/tag/v2.1.1): 2.1.1 (Sep 3, 2024) [Compare Source](https://redirect.github.com/numpy/numpy/compare/v2.1.0...v2.1.1) ##### NumPy 2.1.1 Release Notes NumPy 2.1.1 is a maintenance release that fixes bugs and regressions discovered after the 2.1.0 release. The Python versions supported by this release are 3.10-3.13. ##### Contributors A total of 7 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Andrew Nelson - Charles Harris - Mateusz Sokół - Maximilian Weigand + - Nathan Goldbaum - Pieter Eendebak - Sebastian Berg ##### Pull requests merged A total of 10 pull requests were merged for this release. - [#​27236](https://redirect.github.com/numpy/numpy/pull/27236): REL: Prepare for the NumPy 2.1.0 release \[wheel build] - [#​27252](https://redirect.github.com/numpy/numpy/pull/27252): MAINT: prepare 2.1.x for further development - [#​27259](https://redirect.github.com/numpy/numpy/pull/27259): BUG: revert unintended change in the return value of set_printoptions - [#​27266](https://redirect.github.com/numpy/numpy/pull/27266): BUG: fix reference counting bug in \__array_interface\_\_ implementation... - [#​27267](https://redirect.github.com/numpy/numpy/pull/27267): TST: Add regression test for missing descr in array-interface - [#​27276](https://redirect.github.com/numpy/numpy/pull/27276): BUG: Fix [#​27256](https://redirect.github.com/numpy/numpy/issues/27256) and [#​27257](https://redirect.github.com/numpy/numpy/issues/27257) - [#​27278](https://redirect.github.com/numpy/numpy/pull/27278): BUG: Fix array_equal for numeric and non-numeric scalar types - [#​27287](https://redirect.github.com/numpy/numpy/pull/27287): MAINT: Update maintenance/2.1.x after the 2.0.2 release - [#​27303](https://redirect.github.com/numpy/numpy/pull/27303): BLD: cp311- macosx_arm64 wheels \[wheel build] - [#​27304](https://redirect.github.com/numpy/numpy/pull/27304): BUG: f2py: better handle filtering of public/private subroutines ##### Checksums ##### MD5 3053a97400db800b7377749e691eb39e numpy-2.1.1-cp310-cp310-macosx_10_9_x86_64.whl 84b752a2220dce7c96ff89eef4f4aec3 numpy-2.1.1-cp310-cp310-macosx_11_0_arm64.whl 47ed4f704a64261f07ca24ef2e674524 numpy-2.1.1-cp310-cp310-macosx_14_0_arm64.whl b8a45caa870aee980c298053cf064d28 numpy-2.1.1-cp310-cp310-macosx_14_0_x86_64.whl e097ad5eee572b791b4a25eedad6df4a 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7be6a07520b88214ea85d8ac8b7d6d8a1839b0b5cb87412ac9f49fa934eb15d5 numpy-2.1.1-pp310-pypy310_pp73-macosx_10_15_x86_64.whl 52ac2e48f5ad847cd43c4755520a2317f3380213493b9d8a4c5e37f3b87df504 numpy-2.1.1-pp310-pypy310_pp73-macosx_14_0_x86_64.whl 50a95ca3560a6058d6ea91d4629a83a897ee27c00630aed9d933dff191f170cd numpy-2.1.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 99f4a9ee60eed1385a86e82288971a51e71df052ed0b2900ed30bc840c0f2e39 numpy-2.1.1-pp310-pypy310_pp73-win_amd64.whl d0cf7d55b1051387807405b3898efafa862997b4cba8aa5dbe657be794afeafd numpy-2.1.1.tar.gz ### [`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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NumPy 2.0.1 is the last planned release in the 2.0.x series, 2.1.0rc1 should be out shortly. The Python versions supported by this release are 3.9-3.12. ***NOTE:*** Do not use the GitHub generated "Source code" files listed in the "Assets", they are garbage. #### Improvements ##### `np.quantile` with method `closest_observation` chooses nearest even order statistic This changes the definition of nearest for border cases from the nearest odd order statistic to nearest even order statistic. The numpy implementation now matches other reference implementations. ([gh-26656](https://redirect.github.com/numpy/numpy/pull/26656)) #### Contributors A total of 15 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - [@​vahidmech](https://redirect.github.com/vahidmech) + - Alex Herbert + - Charles Harris - Giovanni Del Monte + - Leo Singer - Lysandros Nikolaou - Matti Picus - Nathan Goldbaum - Patrick J. Roddy + - Raghuveer Devulapalli - Ralf Gommers - Rostan Tabet + - Sebastian Berg - Tyler Reddy - Yannik Wicke + #### Pull requests merged A total of 24 pull requests were merged for this release. - [#​26711](https://redirect.github.com/numpy/numpy/pull/26711): MAINT: prepare 2.0.x for further development - [#​26792](https://redirect.github.com/numpy/numpy/pull/26792): TYP: fix incorrect import in `ma/extras.pyi` stub - [#​26793](https://redirect.github.com/numpy/numpy/pull/26793): DOC: Mention '1.25' legacy printing mode in `set_printoptions` - [#​26794](https://redirect.github.com/numpy/numpy/pull/26794): DOC: Remove mention of NaN and NAN aliases from constants - [#​26821](https://redirect.github.com/numpy/numpy/pull/26821): BLD: Fix x86-simd-sort build failure on openBSD - [#​26822](https://redirect.github.com/numpy/numpy/pull/26822): BUG: Ensure output order follows input in numpy.fft - [#​26823](https://redirect.github.com/numpy/numpy/pull/26823): TYP: fix missing sys import in numeric.pyi - [#​26832](https://redirect.github.com/numpy/numpy/pull/26832): DOC: remove hack to override \_add_newdocs_scalars - [#​26835](https://redirect.github.com/numpy/numpy/pull/26835): BUG: avoid side-effect of 'include complex.h' - [#​26836](https://redirect.github.com/numpy/numpy/pull/26836): BUG: fix max_rows and chunked string/datetime reading in `loadtxt` - [#​26837](https://redirect.github.com/numpy/numpy/pull/26837): BUG: fix PyArray_ImportNumPyAPI under -Werror=strict-prototypes - [#​26856](https://redirect.github.com/numpy/numpy/pull/26856): DOC: Update some documentation - [#​26868](https://redirect.github.com/numpy/numpy/pull/26868): BUG: fancy indexing copy - [#​26869](https://redirect.github.com/numpy/numpy/pull/26869): BUG: Mismatched allocation domains in `PyArray_FillWithScalar` - [#​26870](https://redirect.github.com/numpy/numpy/pull/26870): BUG: Handle --f77flags and --f90flags for meson \[wheel build] - [#​26887](https://redirect.github.com/numpy/numpy/pull/26887): BUG: Fix new DTypes and new string promotion when signature is... - [#​26888](https://redirect.github.com/numpy/numpy/pull/26888): BUG: remove numpy.f2py from excludedimports - [#​26959](https://redirect.github.com/numpy/numpy/pull/26959): BUG: Quantile closest_observation to round to nearest even order - [#​26960](https://redirect.github.com/numpy/numpy/pull/26960): BUG: Fix off-by-one error in amount of characters in strip - [#​26961](https://redirect.github.com/numpy/numpy/pull/26961): API: Partially revert unique with return_inverse - [#​26962](https://redirect.github.com/numpy/numpy/pull/26962): BUG,MAINT: Fix utf-8 character stripping memory access - [#​26963](https://redirect.github.com/numpy/numpy/pull/26963): BUG: Fix out-of-bound minimum offset for in1d table method - [#​26971](https://redirect.github.com/numpy/numpy/pull/26971): BUG: fix f2py tests to work with v2 API - 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numpy-2.0.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 2c3a346ae20cfd80b6cfd3e60dc179963ef2ea58da5ec074fd3d9e7a1e7ba97f numpy-2.0.1-pp39-pypy39_pp73-win_amd64.whl 485b87235796410c3519a699cfe1faab097e509e90ebb05dcd098db2ae87e7b3 numpy-2.0.1.tar.gz ### [`v2.0.0`](https://redirect.github.com/numpy/numpy/releases/tag/v2.0.0) [Compare Source](https://redirect.github.com/numpy/numpy/compare/v1.26.4...v2.0.0) ### NumPy 2.0.0 Release Notes NumPy 2.0.0 is the first major release since 2006. It is the result of 11 months of development since the last feature release and is the work of 212 contributors spread over 1078 pull requests. It contains a large number of exciting new features as well as changes to both the Python and C APIs. This major release includes breaking changes that could not happen in a regular minor (feature) release - including an ABI break, changes to type promotion rules, and API changes which may not have been emitting deprecation warnings in 1.26.x. Key documents related to how to adapt to changes in NumPy 2.0, in addition to these release notes, include: - The [numpy-2-migration-guide](https://numpy.org/devdocs/numpy\_2\_0\_migration_guide.html) - The Numpy 2.0-specific advice in [for downstream package authors](https://numpy.org/devdocs/dev/depending_on_numpy.html) #### Highlights Highlights of this release include: - New features: - A new variable-length string dtype, `numpy.dtypes.StringDType` and a new `numpy.strings` namespace with performant ufuncs for string operations, - Support for `float32` and `longdouble` in all `numpy.fft` functions, - Support for the array API standard in the main `numpy` namespace. - Performance improvements: - Sorting functions `sort`, `argsort`, `partition`, `argpartition` have been accelerated through the use of the Intel x86-simd-sort and Google Highway libraries, and may see large (hardware-specific) speedups, - macOS Accelerate support and binary wheels for macOS >=14, with significant performance improvements for linear algebra operations on macOS, and wheels that are about 3 times smaller, - `numpy.char` fixed-length string operations have been accelerated by implementing ufuncs that also support `numpy.dtypes.StringDType` in addition to the fixed-length string dtypes, - A new tracing and introspection API, `numpy.lib.introspect.opt_func_info`, to determine which hardware-specific kernels are available and will be dispatched to. - `numpy.save` now uses pickle protocol version 4 for saving arrays with object dtype, which allows for pickle objects larger than 4GB and improves sav

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