Accepting request 1099876 from home:Guillaume_G:branches:devel:languages:python:numeric

- Update to 1.25.1:
  * 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.
  * #23968: MAINT: prepare 1.25.x for further development
  * #24036: BLD: Port long double identification to C for meson
  * #24037: BUG: Fix reduction return NULL to be goto fail
  * #24038: BUG: Avoid undefined behavior in array.astype()
  * #24039: BUG: Ensure __array_ufunc__ works without any kwargs passed
  * #24117: MAINT: Pin urllib3 to avoid anaconda-client bug.
  * #24118: TST: Pin pydantic<2 in Pyodide workflow
  * #24119: MAINT: Bump pypa/cibuildwheel from 2.13.0 to 2.13.1
  * #24120: MAINT: Bump actions/checkout from 3.5.2 to 3.5.3
  * #24122: BUG: Multiply or Divides using SIMD without a full vector can...
  * #24127: MAINT: testing for IS_MUSL closes #24074
  * #24128: BUG: Only replace dtype temporarily if dimensions changed
  * #24129: MAINT: Bump actions/setup-node from 3.6.0 to 3.7.0
  * #24134: BUG: Fix private procedures in f2py modules
- Skipped 1.25.0:
  * The NumPy 1.25.0 release continues the ongoing work to improve the
    handling and promotion of dtypes, increase the execution speed, and
    clarify the documentation. There has also been work to prepare for the
    future NumPy 2.0.0 release, resulting in a large number of new and
    expired deprecation. Highlights are:
    - Support for MUSL, there are now MUSL wheels.
    - Support the Fujitsu C/C++ compiler.
    - Object arrays are now supported in einsum
    - Support for inplace matrix multiplication (@=).
  * Full changelog: https://github.com/numpy/numpy/releases/tag/v1.25.0
The Python versions supported in this release are 3.9-3.11.
- Remove upstream patch:
  * remove-deprecated-hypothesis-funcs.patch

OBS-URL: https://build.opensuse.org/request/show/1099876
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=131

python-numpy.spec

@@ -17,8 +17,8 @@
 
 
 %global flavor @BUILD_FLAVOR@%{nil}
-%define ver 1.24.2
-%define _ver 1_24_2
+%define ver 1.25.1
+%define _ver 1_25_1
 %define pname python-numpy
 %define plainpython python
 %define hpc_upcase_trans_hyph() %(echo %{**} | tr [a-z] [A-Z] | tr '-' '_')
@@ -88,8 +88,6 @@ Patch0:         numpy-buildfix.patch
 Patch1:         numpy-1.9.0-remove-__declspec.patch
 # PATCH-FIX-OPENSUSE Ignore DeprecationWarnings when importing pkg_resources
 Patch2:         ignore-pkg_resources-deprecation.patch
-# PATCH-FIX-OPENSUSE Do not call a deprecated hypothesis health check function
-Patch3:         remove-deprecated-hypothesis-funcs.patch
 BuildRequires:  %{python_module Cython >= 0.29.30}
 BuildRequires:  %{python_module base >= 3.8}
 BuildRequires:  %{python_module devel}
@@ -184,7 +182,7 @@ This package contains files for developing applications using numpy.
 %prep
 %autosetup -p1 -n numpy-%{version}
 # Fix non-executable scripts
-sed -i '1s/^#!.*$//' numpy/{compat/setup,random/_examples/cython/setup,distutils/{conv_template,cpuinfo,exec_command,from_template,setup,system_info},f2py/{__init__,auxfuncs,capi_maps,cb_rules,cfuncs,common_rules,crackfortran,diagnose,f2py2e,f90mod_rules,func2subr,rules,setup,use_rules},ma/{setup,bench},matrixlib/setup,setup,testing/{print_coercion_tables,setup}}.py
+sed -i '1s/^#!.*$//' numpy/{compat/setup,random/_examples/cython/setup,distutils/{conv_template,cpuinfo,exec_command,from_template,setup,system_info},f2py/{__init__,auxfuncs,capi_maps,cb_rules,cfuncs,common_rules,crackfortran,diagnose,f2py2e,f90mod_rules,func2subr,rules,setup,use_rules},matrixlib/setup,setup,testing/{print_coercion_tables,setup}}.py
 sed -i '1s/^#!.*$//' numpy/random/_examples/cython/*.pyx
 
 # force cythonization
@@ -314,7 +312,15 @@ test_failok+=" or test_float_remainder_overflow"
 test_failok+=" or test_identityless_reduction_huge_array"
 test_failok+=" or test_huge_vectordot"
 # invalid int type for 32bit
-test_failok+=" or (test_kind and test_all)"
+test_failok+=" or (test_kind and test_quad_precision)"
+test_failok+=" or (test_kind and test_int)"
+test_failok+=" or (test_kind and test_real)"
+%endif
+%ifarch %{arm}
+# https://github.com/numpy/numpy/issues/24001
+test_failok+=" or (test_cpu_features and test_impossible_feature_enable)"
+test_failok+=" or (test_cpu_features and test_features)"
+test_failok+=" or (test_umath and test_unary_spurious_fpexception)"
 %endif
 %ifarch riscv64
 # These tests fail due to non-portable assumptions about the signbit of NaN