Update dependency numpy to v2 #65
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bindings/python/pyproject.toml
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| @@ -17,7 +17,7 @@ requires = [ | |||
| "setuptools>=42", | |||
| "scikit-build", | |||
| "cmake>=3.21", # Keep in-sync with `CMakeLists.txt` | |||
| "numpy>=1.10.0, <2", # Keep in-sync with `setup.py` | |||
| "numpy>=2.2, <3", # Keep in-sync with `setup.py` | |||
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I think we should support 2.0 and 2.1 too. The deprecation schedule suggested by NumPy shows them available for a long time:
https://scientific-python.org/specs/spec-0000/#2026---quarter-2
| "numpy>=2.2, <3", # Keep in-sync with `setup.py` | |
| "numpy>=2, <3", # Keep in-sync with `setup.py` |
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i think that for build requirements we should pin exact versions instead of >= so we would have reproducible results
While for install_requires we can use ranges.
As for numpy specifically we should build with 2.0 and put run dependency as >=1.16 The way how numpy went with 2.0 migration is that they support this configuration.
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As far as I understand, a reproducible build requires exact pinning for both install and build requirements. I think pyproject.toml and setup.py are not the best tools for exact pinning. I recommend looking at uv if we want to use exact pinning:
https://docs.astral.sh/uv/concepts/projects/layout/#the-lockfile
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yes, uv would work fine. but some changes are still required for numpy - building with 2.0 and allowing run dependency for 1.16 +
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This PR contains the following updates:
>=1.10.0, <2->>=2.2, <3Release Notes
numpy/numpy (numpy)
v2.2.0Compare Source
v2.1.3: 2.1.3 (Nov 2, 2024)Compare Source
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)
Changes
numpy.fixnow won't perform casting to a floatingdata-type for integer and boolean data-type input arrays.
(gh-26766)
Contributors
A total of 15 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.
Pull requests merged
A total of 21 pull requests were merged for this release.
pythonto 3.12 in environment.ymlChecksums
MD5
SHA256
v2.1.2Compare Source
v2.1.1: 2.1.1 (Sep 3, 2024)Compare Source
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.
Pull requests merged
A total of 10 pull requests were merged for this release.
Checksums
MD5
SHA256
v2.1.0Compare Source
v2.0.2: NumPy 2.0.2 release (Aug 26, 2024)Compare Source
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.
Pull requests merged
A total of 19 pull requests were merged for this release.
alltrueandsometruenpyv_loadable_stride_functions for ldexp and...np.saveChecksums
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v2.0.1Compare Source
NumPy 2.0.1 Release Notes
NumPy 2.0.1 is a maintenance release that fixes bugs and regressions
discovered after the 2.0.0 release. 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.quantilewith methodclosest_observationchooses nearest even order statisticThis 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)
Contributors
A total of 15 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.
Pull requests merged
A total of 24 pull requests were merged for this release.
ma/extras.pyistubset_printoptionsloadtxtPyArray_FillWithScalarChecksums
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v2.0.0Compare Source
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:
Highlights
Highlights of this release include:
numpy.dtypes.StringDTypeand a newnumpy.stringsnamespace with performant ufuncs for string operations,float32andlongdoublein allnumpy.fftfunctions,numpynamespace.
sort,argsort,partition,argpartitionhave beenaccelerated through the use of the Intel x86-simd-sort and
Google Highway libraries, and may see large (hardware-specific)
speedups,
significant performance improvements for linear algebra
operations on macOS, and wheels that are about 3 times smaller,
numpy.charfixed-length string operations havebeen accelerated by implementing ufuncs that also support
numpy.dtypes.StringDTypein addition to thefixed-length string dtypes,
numpy.lib.introspect.opt_func_info, to determinewhich hardware-specific kernels are available and will be
dispat
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