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authorCoprDistGit <copr-devel@lists.fedorahosted.org>2023-02-25 04:49:58 +0000
committerCoprDistGit <copr-devel@lists.fedorahosted.org>2023-02-25 04:49:58 +0000
commitb733b2331bd2e75e8e26f8f34ad0f05e0d8d9ae6 (patch)
tree70b285e3344a70a4c804f42b5eb22030b8164756
parent9008ddc132b74c6afa9e85368deb7f5e9147e51c (diff)
automatic import of python3-nilearnopeneuler20.03
-rw-r--r--.gitignore1
-rw-r--r--python-nilearn.spec129
-rw-r--r--sources1
3 files changed, 131 insertions, 0 deletions
diff --git a/.gitignore b/.gitignore
index e69de29..68e54b5 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/nilearn-0.10.0.tar.gz
diff --git a/python-nilearn.spec b/python-nilearn.spec
new file mode 100644
index 0000000..2aeab8e
--- /dev/null
+++ b/python-nilearn.spec
@@ -0,0 +1,129 @@
+%global _empty_manifest_terminate_build 0
+Name: python-nilearn
+Version: 0.10.0
+Release: 1
+Summary: Statistical learning for neuroimaging in Python
+License: new BSD
+URL: https://nilearn.github.io
+Source0: https://mirrors.nju.edu.cn/pypi/web/packages/6a/9b/9489fddd02f77f4c1465c708381a151ea822b92c5cd776971694c42903eb/nilearn-0.10.0.tar.gz
+BuildArch: noarch
+
+Requires: python3-joblib
+Requires: python3-lxml
+Requires: python3-nibabel
+Requires: python3-numpy
+Requires: python3-pandas
+Requires: python3-requests
+Requires: python3-scikit-learn
+Requires: python3-scipy
+Requires: python3-matplotlib
+Requires: python3-kaleido
+Requires: python3-plotly
+Requires: python3-coverage
+Requires: python3-flake8
+Requires: python3-furo
+Requires: python3-memory-profiler
+Requires: python3-mkl
+Requires: python3-myst-parser
+Requires: python3-numpydoc
+Requires: python3-sphinx
+Requires: python3-sphinx-copybutton
+Requires: python3-sphinx-design
+Requires: python3-sphinx-gallery
+Requires: python3-sphinxcontrib-bibtex
+Requires: python3-sphinxext-opengraph
+Requires: python3-codecov
+Requires: python3-pytest
+Requires: python3-pytest-cov
+Requires: python3-kaleido
+Requires: python3-plotly
+Requires: python3-coverage
+Requires: python3-flake8
+Requires: python3-furo
+Requires: python3-memory-profiler
+Requires: python3-mkl
+Requires: python3-myst-parser
+Requires: python3-numpydoc
+Requires: python3-sphinx
+Requires: python3-sphinx-copybutton
+Requires: python3-sphinx-design
+Requires: python3-sphinx-gallery
+Requires: python3-sphinxcontrib-bibtex
+Requires: python3-sphinxext-opengraph
+Requires: python3-joblib
+Requires: python3-nibabel
+Requires: python3-numpy
+Requires: python3-pandas
+Requires: python3-scikit-learn
+Requires: python3-scipy
+Requires: python3-kaleido
+Requires: python3-plotly
+Requires: python3-matplotlib
+Requires: python3-codecov
+Requires: python3-coverage
+Requires: python3-pytest
+Requires: python3-pytest-cov
+
+%description
+Nilearn enables approachable and versatile analyses of brain volumes. It provides statistical and machine-learning tools, with instructive documentation & friendly community.
+It supports general linear model (GLM) based analysis and leverages the `scikit-learn <https://scikit-learn.org>`_ Python toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis.
+
+%package -n python3-nilearn
+Summary: Statistical learning for neuroimaging in Python
+Provides: python-nilearn
+BuildRequires: python3-devel
+BuildRequires: python3-setuptools
+%description -n python3-nilearn
+Nilearn enables approachable and versatile analyses of brain volumes. It provides statistical and machine-learning tools, with instructive documentation & friendly community.
+It supports general linear model (GLM) based analysis and leverages the `scikit-learn <https://scikit-learn.org>`_ Python toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis.
+
+%package help
+Summary: Development documents and examples for nilearn
+Provides: python3-nilearn-doc
+%description help
+Nilearn enables approachable and versatile analyses of brain volumes. It provides statistical and machine-learning tools, with instructive documentation & friendly community.
+It supports general linear model (GLM) based analysis and leverages the `scikit-learn <https://scikit-learn.org>`_ Python toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis.
+
+%prep
+%autosetup -n nilearn-0.10.0
+
+%build
+%py3_build
+
+%install
+%py3_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+if [ -d usr/lib ]; then
+ find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/lib64 ]; then
+ find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/bin ]; then
+ find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/sbin ]; then
+ find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+touch doclist.lst
+if [ -d usr/share/man ]; then
+ find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-nilearn -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Sat Feb 25 2023 Python_Bot <Python_Bot@openeuler.org> - 0.10.0-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..7cf684d
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+fed3f5cd1fb370598565febaae47b0d5 nilearn-0.10.0.tar.gz