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Accepting request 1043806 from home:bnavigator:branches:devel:languages:python:numeric - Update to 1.24.0 * The NumPy 1.24.0 release continues the ongoing work to improve the handling and promotion of dtypes, increase the execution speed, and clarify the documentation. There are also a large number of new and expired deprecations due to changes in promotion and cleanups. This might be called a deprecation release. Highlights are: - Many new deprecations, check them out. - Many expired deprecations, - New F2PY features and fixes. - New “dtype” and “casting” keywords for stacking functions. * For a detailed description see https://numpy.org/doc/stable/release/1.24.0-notes.html - Add numpy-distutils-ignore.patch gh#numpy/numpy#22828 - Fix running the tests: Actually fail on errors - Support builds without any primary python3 package (:backports) OBS-URL: https://build.opensuse.org/request/show/1043806 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=111
2022-12-20 06:18:27 +00:00
# These files are required for testing (and testing the package on a live system)
Accepting request 1168946 from home:bnavigator:branches:devel:languages:python:numeric - Update to 1.26.4 * NumPy 1.26.4 is a maintenance release that fixes bugs and regressions discovered after the 1.26.3 release. The Python versions supported by this release are 3.9-3.12. This is the last planned release in the 1.26.x series. * BUG: Restore missing asstr import * MAINT: prepare 1.26.x for further development * BUG: numpy.array_api: fix linalg.cholesky upper decomp... * MAINT, BLD: Fix unused inline functions warnings on clang * TST: Fix test_numeric on riscv64 * MAINT: add newaxis to __all__ in numpy.array_api * BUG: Use large file fallocate on 32 bit linux platforms * TST: Fix test_warning_calls on Python 3.12 * TST: Bump pytz to 2023.3.post1 * BUG: Fix AVX512 build flags on Intel Classic Compiler * BLD: fix potential issue with escape sequences in __config__.py * BLD: unvendor meson-python on 1.26.x and upgrade to meson-python... * MAINT: Include header defining backtrace * BUG: Fix np.quantile([Fraction(2,1)], 0.5) (#24711) - Release 1.26.3 ## Compatibility * f2py will no longer accept ambiguous -m and .pyf CLI combinations. When more than one .pyf file is passed, an error is raised. When both -m and a .pyf is passed, a warning is emitted and the -m provided name is ignored. ## Improvements * f2py now handles common blocks which have kind specifications from modules. This further expands the usability of intrinsics like iso_fortran_env and iso_c_binding. ## Pull requests merged * MAINT: prepare 1.26.x for further development * TYP: add None to __getitem__ in numpy.array_api * BLD,BUG: quadmath required where available [f2py] * BUG: alpha doesn't use REAL(10) * BUG: Fix FP overflow error in division when the divisor is scalar * MAINT: Pin scipy-openblas version. * BUG: Fix f2py to enable use of string optional inout argument * BUG: Fix -fsanitize=alignment issue in numpy/_core/src/multiarray/arraytypes.c.src * TST: Explicitly pass NumPy path to cython during tests (also... * BUG: fix issues with newaxis and linalg.solve in numpy.array_api * BUG: Disallow shadowed modulenames * BUG: Handle common blocks with kind specifications from modules * BUG: Fix moving compiled executable to root with f2py -c on Windows * BUG: Fix single to half-precision conversion on PPC64/VSX3 * TST: f2py: fix issue in test skip condition * Revert "MAINT: Pin scipy-openblas version." * MAINT: do not use long type * TST: PyPy needs another gc.collect on latest versions * MAINT: Bump conda-incubator/setup-miniconda from 2.2.0 to 3.0.1 * BLD: update vendored Meson for AIX shared library fix * MAINT: Init base in cpu_avx512_kn * BUG: Fix failing test_features on SapphireRapids * BUG: Fix non-contiguous memory load when ARM/Neon is enabled * MAINT,BUG: Never import distutils above 3.12 [f2py] * MAINT: make the import-time check for old Accelerate more specific * MAINT: Bump actions/setup-node and larsoner/circleci-artifacts-redirector-action * BUG: avoid seg fault from OOB access in RandomState.set_state() * BUG: Fix two errors related to not checking for failed allocations * BUG: Fix regression with f2py wrappers when modules and subroutines... * BUG: Fix build issues on SPR * BLD: fix uninitialized variable warnings from simd/neon/memory.h * BUG: Handle iso_c_type mappings more consistently * BUG: Fix module name bug in signature files [urgent] [f2py] * BUG: Handle .pyf.src and fix SciPy [urgent] * DOC: f2py rewrite with meson details * BUG: Add external library handling for meson [f2py] * MAINT: Run f2py's meson backend with the same python that ran... * MAINT: Update numpy/f2py/_backends from main. * MAINT: Easy updates of f2py/*.py from main. * MAINT: Update crackfortran.py and f2py2e.py from main OBS-URL: https://build.opensuse.org/request/show/1168946 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=155
2024-04-19 08:55:47 +00:00
addFilter("devel-file-in-non-devel-package .*numpy/f2py/tests/src/array_from_pyobj/wrapmodule.c")
- Update to 2.0.0, changes include: * Adds support for array parameter declaration in fortran... * Added ``bitwise_count`` UFuncs * Add binding for random pyx files * Use AVX512-FP16 SVML content for float16 umath functions * allow int sequences as shape arguments in numpy.memmap * Add .mT attribute for arrays * Create complex scalars from real and imaginary parts * add copy parameter for api.reshape function * make use of locals() in a comprehension fully compatible... * Add array API standard v2022.12 support to numpy.array_api * Change string to bool conversions to be consistent with... * Allow np.info on non-hashable objects with a dtype * let zeros, empty, and empty_like accept dtype classes * Bump C-ABI to 2 but accept older NumPy if compiled against... * Use high accuracy SVML for double precision umath functions * expose PyUFunc_GiveFloatingpointErrors in the dtype API * PyObject_IsTrue and PyObject_Not error handling in setflags * array2string does not add signs for positive integers. * Vectorize np.partition and np.argpartition using AVX-512 * Create helper for conversion to arrays * Add size check for threaded array assignment * Finalize ``fastCopyAndTranpose`` and other old C-funcs/members... * assert_array_less should report max violations instead of... * Introduce tracer for enabled CPU targets on each optimized... * Extend np.add ufunc to work with unicode and byte dtypes * Add find/rfind ufuncs for unicode and byte dtypes * Make ``intp`` ``ssize_t`` and introduce characters nN * Add isdigit/isspace/isdecimal/isnumeric ufuncs for string... * DType API slot for descriptor finalization before array... OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=161
2024-06-28 06:49:16 +00:00
addFilter("devel-file-in-non-devel-package .*numpy/_core/tests/examples")
addFilter("devel-file-in-non-devel-package .*numpy/_core/tests/data")
Accepting request 1168946 from home:bnavigator:branches:devel:languages:python:numeric - Update to 1.26.4 * NumPy 1.26.4 is a maintenance release that fixes bugs and regressions discovered after the 1.26.3 release. The Python versions supported by this release are 3.9-3.12. This is the last planned release in the 1.26.x series. * BUG: Restore missing asstr import * MAINT: prepare 1.26.x for further development * BUG: numpy.array_api: fix linalg.cholesky upper decomp... * MAINT, BLD: Fix unused inline functions warnings on clang * TST: Fix test_numeric on riscv64 * MAINT: add newaxis to __all__ in numpy.array_api * BUG: Use large file fallocate on 32 bit linux platforms * TST: Fix test_warning_calls on Python 3.12 * TST: Bump pytz to 2023.3.post1 * BUG: Fix AVX512 build flags on Intel Classic Compiler * BLD: fix potential issue with escape sequences in __config__.py * BLD: unvendor meson-python on 1.26.x and upgrade to meson-python... * MAINT: Include header defining backtrace * BUG: Fix np.quantile([Fraction(2,1)], 0.5) (#24711) - Release 1.26.3 ## Compatibility * f2py will no longer accept ambiguous -m and .pyf CLI combinations. When more than one .pyf file is passed, an error is raised. When both -m and a .pyf is passed, a warning is emitted and the -m provided name is ignored. ## Improvements * f2py now handles common blocks which have kind specifications from modules. This further expands the usability of intrinsics like iso_fortran_env and iso_c_binding. ## Pull requests merged * MAINT: prepare 1.26.x for further development * TYP: add None to __getitem__ in numpy.array_api * BLD,BUG: quadmath required where available [f2py] * BUG: alpha doesn't use REAL(10) * BUG: Fix FP overflow error in division when the divisor is scalar * MAINT: Pin scipy-openblas version. * BUG: Fix f2py to enable use of string optional inout argument * BUG: Fix -fsanitize=alignment issue in numpy/_core/src/multiarray/arraytypes.c.src * TST: Explicitly pass NumPy path to cython during tests (also... * BUG: fix issues with newaxis and linalg.solve in numpy.array_api * BUG: Disallow shadowed modulenames * BUG: Handle common blocks with kind specifications from modules * BUG: Fix moving compiled executable to root with f2py -c on Windows * BUG: Fix single to half-precision conversion on PPC64/VSX3 * TST: f2py: fix issue in test skip condition * Revert "MAINT: Pin scipy-openblas version." * MAINT: do not use long type * TST: PyPy needs another gc.collect on latest versions * MAINT: Bump conda-incubator/setup-miniconda from 2.2.0 to 3.0.1 * BLD: update vendored Meson for AIX shared library fix * MAINT: Init base in cpu_avx512_kn * BUG: Fix failing test_features on SapphireRapids * BUG: Fix non-contiguous memory load when ARM/Neon is enabled * MAINT,BUG: Never import distutils above 3.12 [f2py] * MAINT: make the import-time check for old Accelerate more specific * MAINT: Bump actions/setup-node and larsoner/circleci-artifacts-redirector-action * BUG: avoid seg fault from OOB access in RandomState.set_state() * BUG: Fix two errors related to not checking for failed allocations * BUG: Fix regression with f2py wrappers when modules and subroutines... * BUG: Fix build issues on SPR * BLD: fix uninitialized variable warnings from simd/neon/memory.h * BUG: Handle iso_c_type mappings more consistently * BUG: Fix module name bug in signature files [urgent] [f2py] * BUG: Handle .pyf.src and fix SciPy [urgent] * DOC: f2py rewrite with meson details * BUG: Add external library handling for meson [f2py] * MAINT: Run f2py's meson backend with the same python that ran... * MAINT: Update numpy/f2py/_backends from main. * MAINT: Easy updates of f2py/*.py from main. * MAINT: Update crackfortran.py and f2py2e.py from main OBS-URL: https://build.opensuse.org/request/show/1168946 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=155
2024-04-19 08:55:47 +00:00
addFilter("hidden-file-or-dir .*numpy/f2py/tests/src/assumed_shape/.f2py_f2cmap")
addFilter("hidden-file-or-dir .*numpy/f2py/tests/src/f2cmap/.f2py_f2cmap")
- Update to 2.0.0, changes include: * Adds support for array parameter declaration in fortran... * Added ``bitwise_count`` UFuncs * Add binding for random pyx files * Use AVX512-FP16 SVML content for float16 umath functions * allow int sequences as shape arguments in numpy.memmap * Add .mT attribute for arrays * Create complex scalars from real and imaginary parts * add copy parameter for api.reshape function * make use of locals() in a comprehension fully compatible... * Add array API standard v2022.12 support to numpy.array_api * Change string to bool conversions to be consistent with... * Allow np.info on non-hashable objects with a dtype * let zeros, empty, and empty_like accept dtype classes * Bump C-ABI to 2 but accept older NumPy if compiled against... * Use high accuracy SVML for double precision umath functions * expose PyUFunc_GiveFloatingpointErrors in the dtype API * PyObject_IsTrue and PyObject_Not error handling in setflags * array2string does not add signs for positive integers. * Vectorize np.partition and np.argpartition using AVX-512 * Create helper for conversion to arrays * Add size check for threaded array assignment * Finalize ``fastCopyAndTranpose`` and other old C-funcs/members... * assert_array_less should report max violations instead of... * Introduce tracer for enabled CPU targets on each optimized... * Extend np.add ufunc to work with unicode and byte dtypes * Add find/rfind ufuncs for unicode and byte dtypes * Make ``intp`` ``ssize_t`` and introduce characters nN * Add isdigit/isspace/isdecimal/isnumeric ufuncs for string... * DType API slot for descriptor finalization before array... OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=161
2024-06-28 06:49:16 +00:00
addFilter("zero-length .*numpy/core/__init__.pyi")
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