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imports/c9
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c10s
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SOURCES/numpy-2.3.4.tar.gz
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numpy-1.4.1.tar.gz
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/numpy-1.5.1rc1.tar.gz
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/numpy-1.10.4.tar.gz
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/numpy-cc2b04.tar.gz
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/numpy-1.11.0b2.tar.gz
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/numpy-1.11.0b3.tar.gz
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/numpy-1.11.1.tar.gz
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/numpy-1.11.2.tar.gz
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/numpy-1.12.0.tar.gz
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/numpy-1.13.0rc1.tar.gz
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/numpy-1.13.0rc2.tar.gz
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/numpy-1.13.1.tar.gz
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/numpy-1.13.2.tar.gz
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/numpy-html-1.13.0.zip
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/numpy-1.14.0rc1.tar.gz
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/numpy-1.14.1.tar.gz
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/numpy-1.14.2.tar.gz
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/numpy-1.14.3.tar.gz
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/numpy-html-1.14.2.zip
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/numpy-html-1.14.5.zip
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/numpy-1.15.0.tar.gz
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/numpy-1.16.0.tar.gz
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/numpy-1.16.2.tar.gz
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/numpy-html-1.16.1.zip
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/numpy-1.16.4.tar.gz
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/numpy-1.17.3.tar.gz
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/numpy-1.17.4.tar.gz
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/numpy-1.18.0.tar.gz
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/numpy-1.18.1.tar.gz
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/numpy-1.18.2.tar.gz
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/numpy-1.18.3.tar.gz
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/numpy-1.18.4.tar.gz
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/numpy-1.19.0rc2.tar.gz
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/numpy-1.19.0.tar.gz
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/numpy-1.19.1.tar.gz
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/numpy-1.19.2.tar.gz
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/numpy-html.zip
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/numpy-1.19.3.tar.gz
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/numpy-1.19.4.tar.gz
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/numpy-1.20.0rc2.tar.gz
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/numpy-1.20.0.tar.gz
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/numpy-1.20.1.tar.gz
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/numpy-1.21.1.tar.gz
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/numpy-1.21.5.tar.gz
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/numpy-1.22.0.tar.gz
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/numpy-1.23.4.tar.gz
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/numpy-1.23.5.tar.gz
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/numpy-1.24.1.tar.gz
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/numpy-1.24.3.tar.gz
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/numpy-1.24.4.tar.gz
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/numpy-1.26.0.tar.gz
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/numpy-1.26.2.tar.gz
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/numpy-1.26.4.tar.gz
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/numpy-2.2.0.tar.gz
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/numpy-2.2.1.tar.gz
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/numpy-2.2.2.tar.gz
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/numpy-2.2.3.tar.gz
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/numpy-2.2.4.tar.gz
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/numpy-2.2.5.tar.gz
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/numpy-2.2.6.tar.gz
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/numpy-2.3.0.tar.gz
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/numpy-2.3.1.tar.gz
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/numpy-2.3.2.tar.gz
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/numpy-2.3.3.tar.gz
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/numpy-2.3.4.tar.gz
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7676ad7be4ff03da3d4a55ab48571100cb70078f SOURCES/numpy-2.3.4.tar.gz
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6
gating.yaml
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gating.yaml
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--- !Policy
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product_versions:
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- rhel-*
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decision_context: osci_compose_gate
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rules:
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- !PassingTestCaseRule {test_case_name: osci.brew-build.tier0.functional}
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plan.fmf
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plan.fmf
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execute:
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how: tmt
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provision:
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hardware:
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memory: '>= 4GB'
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discover:
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how: shell
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tests:
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- name: unit
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test: |
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pip-3.14 show hypothesis || pip-3.14 install hypothesis
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# exit(0) is success
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# ignored tests require meson which is missing now
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python3.14 -c 'import numpy;import sys; sys.exit(not numpy.test(extra_argv=["--ignore-glob", "/usr/lib64/python3.14/site-packages/numpy/f2py/tests/*", "-k", "not test_mem_policy"]))'
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require:
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- python3.14-numpy
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- python3.14-pytest
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- python3.14-pip
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@ -59,30 +59,6 @@ Requires: python%{python3_pkgversion}-numpy-f2py%{?_isa} = %{version}-%{re
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Provides: bundled(libdivide) = 3.0
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Provides: bundled(libdivide) = 3.0
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%endif
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%endif
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BuildRequires: python%{python3_pkgversion}-devel
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BuildRequires: gcc-gfortran gcc gcc-c++
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BuildRequires: lapack-devel
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%if 0%{?fedora}
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BuildRequires: libdivide-devel
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%endif
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BuildRequires: ninja-build
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%if %{with tests}
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BuildRequires: python%{python3_pkversion}-hypothesis
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BuildRequires: python%{python3_pkversion}-pytest
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BuildRequires: python%{python3_pkversion}-test
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BuildRequires: python%{python3_pkgversion}-typing-extensions
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%endif
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BuildRequires: %{blaslib}-devel
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BuildRequires: chrpath
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# Upstream does not support splitting out f2py
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# https://github.com/numpy/numpy/issues/28016
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# https://bugzilla.redhat.com/show_bug.cgi?id=2332307
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Requires: python%{python3_pkgversion}-numpy-f2py%{?_isa} = %{version}-%{release}
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%if !0%{?fedora}
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Provides: bundled(libdivide) = 3.0
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%endif
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%description
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%description
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NumPy is a general-purpose array-processing package designed to
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NumPy is a general-purpose array-processing package designed to
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efficiently manipulate large multi-dimensional arrays of arbitrary
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efficiently manipulate large multi-dimensional arrays of arbitrary
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