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python-Keras
python-Keras.spec
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File python-Keras.spec of Package python-Keras
# # spec file # # Copyright (c) 2022 SUSE LLC # # All modifications and additions to the file contributed by third parties # remain the property of their copyright owners, unless otherwise agreed # upon. The license for this file, and modifications and additions to the # file, is the same license as for the pristine package itself (unless the # license for the pristine package is not an Open Source License, in which # case the license is the MIT License). An "Open Source License" is a # license that conforms to the Open Source Definition (Version 1.9) # published by the Open Source Initiative. # Please submit bugfixes or comments via https://bugs.opensuse.org/ # %global flavor @BUILD_FLAVOR@%{nil} %if "%{flavor}" == "test" %define psuffix -test %bcond_without test %else %define psuffix %{nil} %bcond_with test %endif # sync with tensorflow2 %define pythons python3 %if 0%{?suse_version} < 1599 ExclusiveArch: donotbuild %endif Name: python-Keras%{psuffix} Version: 2.7.0 Release: 0 Summary: Deep Learning library License: Apache-2.0 URL: https://keras.io/ # no sdist. Use the pure wheel. It is much easier than a Bazel build Source0: https://files.pythonhosted.org/packages/py2.py3/k/keras/keras-%{version}-py2.py3-none-any.whl # For Tests Source1: https://github.com/keras-team/keras/archive/refs/tags/v%{version}.tar.gz#/keras-%{version}.tar.gz BuildRequires: %{python_module pip} BuildRequires: fdupes BuildRequires: python-rpm-macros BuildRequires: unzip BuildArch: noarch ExcludeArch: %{ix86} %if %{with test} BuildRequires: %{python_module Pillow} BuildRequires: %{python_module PyYAML} BuildRequires: %{python_module numpy >= 1.19} BuildRequires: %{python_module pandas} BuildRequires: %{python_module pydot} BuildRequires: %{python_module scipy >= 1.5.2} BuildRequires: tensorflow2 %endif Provides: python-keras = %{version}-%{release} Obsoletes: python-keras < %{version}-%{release} %python_subpackages %description Keras is a deep learning API written in Python, running on top of the machine learning platform TensorFlow. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result as fast as possible is key to doing good research. %prep %setup -q -n keras-%{version} -b1 %build %if ! %{with test} %install %pyproject_install %{SOURCE0} cp %{buildroot}%{python3_sitelib}/keras-%{version}.dist-info/LICENSE . %python_expand %fdupes %{buildroot}%{$python_sitelib} %endif %if %{with test} %check %{python_expand # call the main() functions of python tests for f in keras/tests/*_test.py; do # ValueError: Please provide a TPU Name to connect to. [ "$f" = "keras/tests/automatic_outside_compilation_test.py" ] && continue || : # import error: test file not installed into sitelib [ "$f" = "keras/tests/get_config_test.py" ] && continue || : # no tensorflow.compiler.tests in installed tensorflow2 package [ "$f" = "keras/tests/tracking_util_xla_test.py" ] && continue || : # Note: These might be genuine errors, but in order to get it checked in, we rather ignore them now. # It is still better than not running any tests at all. $python $f done } %endif %if ! %{with test} %files %{python_files} %license LICENSE %{python_sitelib}/keras %{python_sitelib}/keras-%{version}.dist-info %endif %changelog
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