%global pkgname Theano

%global srcname theano

#%%global rctag a1

Name:           python-theano

Version:        1.0.0

Release:        1%{?rctag:.%{rctag}}%{?dist}

Summary:        Mathematical expressions involving multidimensional arrays

License:        BSD

URL:            http://deeplearning.net/software/theano/

Source0:        https://github.com/Theano/Theano/archive/rel-%{version}%{?rctag:%{rctag}}/%{pkgname}-%{version}%{?rctag:%{rctag}}.tar.gz

BuildArch:      noarch

BuildRequires:  atlas-devel

BuildRequires:  epydoc

BuildRequires:  gcc-c++

BuildRequires:  gcc-gfortran

BuildRequires:  git-core

BuildRequires:  python2-Cython python3-Cython

BuildRequires:  python2-devel python3-devel

BuildRequires:  python2-nose python3-nose

BuildRequires:  python2-parameterized python3-parameterized

BuildRequires:  python2-numpy python3-numpy

BuildRequires:  python2-pydot python3-pydot

BuildRequires:  python2-scipy python3-scipy

BuildRequires:  python2-setuptools python3-setuptools

BuildRequires:  python2-six python3-six

BuildRequires:  python3-sphinx

BuildRequires:  tex(latex)

BuildRequires:  tex(anyfontsize.sty)

BuildRequires:  tex-dvipng

%description

Theano is a Python library that allows you to define, optimize, and

evaluate mathematical expressions involving multi-dimensional arrays

efficiently.  Theano features:

- tight integration with NumPy: Use numpy.ndarray in Theano-compiled

  functions.

- transparent use of a GPU: Perform data-intensive calculations up to

  140x faster than with CPU.(float32 only)

- efficient symbolic differentiation: Theano does your derivatives for

  function with one or many inputs.

- speed and stability optimizations: Get the right answer for log(1+x)

  even when x is really tiny.

- dynamic C code generation: Evaluate expressions faster.

- extensive unit-testing and self-verification: Detect and diagnose many

  types of mistake.

%package -n python2-%{srcname}

Summary:        Mathematical expressions involving multidimensional arrays

Requires:       atlas-devel

Requires:       gcc-c++

Requires:       gcc-gfortran

Requires:       python2-numpy

Requires:       python2-scipy

Requires:       python2-six

Recommends:     python2-pydot

%{?python_provide:%python_provide python2-%{srcname}}

%description -n python2-%{srcname}

Theano is a Python library that allows you to define, optimize, and

evaluate mathematical expressions involving multi-dimensional arrays

efficiently.  Theano features:

- tight integration with NumPy: Use numpy.ndarray in Theano-compiled

  functions.

- transparent use of a GPU: Perform data-intensive calculations up to

  140x faster than with CPU.(float32 only)

- efficient symbolic differentiation: Theano does your derivatives for

  function with one or many inputs.

- speed and stability optimizations: Get the right answer for log(1+x)

  even when x is really tiny.

- dynamic C code generation: Evaluate expressions faster.

- extensive unit-testing and self-verification: Detect and diagnose many

  types of mistake.

%package -n python3-%{srcname}

Summary:        Mathematical expressions involving multidimensional arrays

Requires:       atlas-devel

Requires:       gcc-c++

Requires:       gcc-gfortran

Requires:       python3-numpy

Requires:       python3-scipy

Requires:       python3-six

Recommends:     python3-pydot

%{?python_provide:%python_provide python3-%{srcname}}

%description -n python3-%{srcname}

Theano is a Python library that allows you to define, optimize, and

evaluate mathematical expressions involving multi-dimensional arrays

efficiently.  Theano features:

- tight integration with NumPy: Use numpy.ndarray in Theano-compiled

  functions.

- transparent use of a GPU: Perform data-intensive calculations up to

  140x faster than with CPU.(float32 only)

- efficient symbolic differentiation: Theano does your derivatives for

  function with one or many inputs.

- speed and stability optimizations: Get the right answer for log(1+x)

  even when x is really tiny.

- dynamic C code generation: Evaluate expressions faster.

- extensive unit-testing and self-verification: Detect and diagnose many

  types of mistake.

%package doc

Summary:        Theano documentation

%description doc

User documentation for Theano.

%prep

%autosetup -n %{pkgname}-rel-%{version}%{?rctag:%{rctag}} -p1

# Remove bundled python-six

rm -f theano/compat/six.py

# We don't need to use /usr/bin/env

for fil in $(grep -FRl /bin/env .); do

  sed -ri.orig 's,( )?(/usr)?/bin/env[[:blank:]]*python.*,%{_bindir}/python2,' $fil

  touch -r $fil.orig $fil

  rm $fil.orig

done

# Be explicit about the python version to invoke

for fil in $(grep -Rl '^#!%{_bindir}/python$' .); do

  sed -i.orig 's,^#!%{_bindir}/python$,&2,' $fil

  touch -r $fil.orig $fil

  rm $fil.orig

done

# Prepare for python 3 build

cp -a . %{py3dir}

mv %{py3dir} python3

# Change dependencies for python3

for fil in $(grep -Rl '#!%{_bindir}/python2' python3); do

  sed -i.orig 's,#!%{_bindir}/python2,#!%{_bindir}/python3,' $fil

  touch -r $fil.orig $fil

  rm $fil.orig

done

%build

# Regenerate the Cython files, and fix the numpy interfaces

cython theano/scan_module/scan_perform.pyx

pushd python3

cython3 theano/scan_module/scan_perform.pyx

popd

sed -e 's/\(__pyx_v_self\)->descr/PyArray_DESCR(\1)/' \

    -e 's/\(__pyx_v_arr\)->base = \(.*\);/PyArray_SetBaseObject(\1, \2);/' \

    -e 's/\(__pyx_v_arr\)->base/PyArray_BASE(\1)/' \

    -i theano/scan_module/scan_perform.c \

       python3/theano/scan_module/scan_perform.c

# Python 2 build

%py2_build

# Python 3 build

pushd python3

%py3_build

popd

# Build the documentation

export PYTHONPATH=$PWD

python3 doc/scripts/docgen.py --nopdf

# Remove build artifacts

rm -fr html/.buildinfo html/.doctrees

%install

# Install python 2 build

%py2_install

# Install python 3 build

pushd python3

%py3_install

popd

# Restore executable permission on the scripts

chmod a+x $(find %{buildroot} -name \*.py -o -name \*.sh | xargs grep -l '^#!')

%check

PYTHONPATH=$PWD bin/theano-nose

%files -n python2-%{srcname}

%doc DESCRIPTION.txt HISTORY.txt NEWS.txt README.txt

%license doc/LICENSE.txt

%{python2_sitelib}/*

%files -n python3-%{srcname}

%doc DESCRIPTION.txt HISTORY.txt NEWS.txt README.txt

%license doc/LICENSE.txt

%{_bindir}/theano-*

%{python3_sitelib}/*

%files doc

%doc html

%changelog

* Fri Nov 17 2017 Igor Gnatenko <ignatenkobrain@fedoraproject.org> - 1.0.0-1

- Update to 1.0.0

* Thu Jul 27 2017 Fedora Release Engineering <releng@fedoraproject.org> - 0.9.0-1.1

- Rebuilt for https://fedoraproject.org/wiki/Fedora_27_Mass_Rebuild

* Wed Mar 22 2017 Jerry James <loganjerry@gmail.com> - 0.9.0-1

- New upstream release

* Sat Feb 11 2017 Fedora Release Engineering <releng@fedoraproject.org> - 0.8.2-1.3

- Rebuilt for https://fedoraproject.org/wiki/Fedora_26_Mass_Rebuild

* Mon Dec 19 2016 Miro HronĨok <mhroncok@redhat.com> - 0.8.2-1.2

- Rebuild for Python 3.6

* Tue Jul 19 2016 Fedora Release Engineering <rel-eng@lists.fedoraproject.org> - 0.8.2-1.1

- https://fedoraproject.org/wiki/Changes/Automatic_Provides_for_Python_RPM_Packages

* Thu Apr 21 2016 Jerry James <loganjerry@gmail.com> - 0.8.2-1

- New upstream release

* Fri Apr 15 2016 Jerry James <loganjerry@gmail.com> - 0.8.1-2

- Remove python2 dependency from the python3 subpackage (bz 1324232)

- Recommend pydot instead of requiring it

* Sat Apr  2 2016 Jerry James <loganjerry@gmail.com> - 0.8.1-1

- New upstream release

- Fix the pydot dependencies

* Wed Mar 23 2016 Jerry James <loganjerry@gmail.com> - 0.8.0-1

- New upstream release

* Thu Feb 04 2016 Fedora Release Engineering <releng@fedoraproject.org> - 0.7.1-0.2.a1

- Rebuilt for https://fedoraproject.org/wiki/Fedora_24_Mass_Rebuild

* Mon Feb  1 2016 Jerry James <loganjerry@gmail.com> - 0.7.1-0.1.a1

- Comply with latest python packaging guidelines

* Thu Nov 12 2015 Igor Gnatenko <i.gnatenko.brain@gmail.com> - 0.7.1-0.1.a1

- Update to 0.7.1a1

* Tue Nov 10 2015 Fedora Release Engineering <rel-eng@lists.fedoraproject.org> - 0.7.0-2.2

- Rebuilt for https://fedoraproject.org/wiki/Changes/python3.5

* Wed Nov  4 2015 Toshio Kuratomi <toshio@fedoraproject.org> - 0.7.0-2.1

- Fix python3 package requiring python2.

* Thu Jun 18 2015 Fedora Release Engineering <rel-eng@lists.fedoraproject.org> - 0.7.0-1.1

- Rebuilt for https://fedoraproject.org/wiki/Fedora_23_Mass_Rebuild

* Wed Apr  1 2015 Jerry James <loganjerry@gmail.com> - 0.7.0-1

- New upstream release

- Drop upstreamed -arm patch

- Regenerate cython files to fix build failure

* Sat Feb 21 2015 Jerry James <loganjerry@gmail.com> - 0.6.0-5

- Add -arm patch to fix build failure on arm builders due to inverted test

* Sat Feb 21 2015 Jerry James <loganjerry@gmail.com> - 0.6.0-4

- Drop workaround for fixed bug (bz 1075826)

- Use license macro

* Sat Jun 07 2014 Fedora Release Engineering <rel-eng@lists.fedoraproject.org> - 0.6.0-3.1

- Rebuilt for https://fedoraproject.org/wiki/Fedora_21_Mass_Rebuild

* Wed May 14 2014 Jerry James <loganjerry@gmail.com> - 0.6.0-3

- Rebuild for https://fedoraproject.org/wiki/Changes/Python_3.4

* Thu Mar 13 2014 Jerry James <loganjerry@gmail.com> - 0.6.0-2

- Add python3 subpackage

- Add another icon to the -missing tarball

- Update source icons

- Unbundle python-six

- Add workaround for bz 1075826

* Sat Dec  7 2013 Jerry James <loganjerry@gmail.com> - 0.6.0-1

- New upstream release

- Drop upstreamed -import patch

* Mon Oct 21 2013 Jerry James <loganjerry@gmail.com> - 0.6.0-0.1.rc3

- Add the -import patch to fix an exception

- Add more files to the base package docs

* Tue Aug 27 2013 Jerry James <loganjerry@gmail.com> - 0.6.0-0.rc3

- Initial RPM