%global modname mne

Name:           python-%{modname}

Version:        0.13.1

Release:        4%{?dist}

Summary:        Magnetoencephalography (MEG) and Electroencephalography (EEG) data analysis

# Bundled FieldTrip

# https://github.com/fieldtrip/fieldtrip/blob/master/realtime/src/buffer/python/FieldTrip.py

# Not possible to package because it is matlab package with some plugins

License:        BSD

URL:            http://martinos.org/mne/

Source0:        https://github.com/mne-tools/mne-python/archive/v%{version}/%{name}-%{version}.tar.gz

#Source1:        https://s3.amazonaws.com/mne-python/datasets/MNE-sample-data-processed.tar.gz

BuildArch:      noarch

%description

This package is designed for sensor- and source-space analysis of M-EEG data,

including frequency-domain and time-frequency analyses and non-parametric

statistics.

%package -n python2-%{modname}

Summary:        %{summary}

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

Provides:       bundled(bootstrap)

Provides:       bundled(js-jquery)

Provides:       bundled(js-jquery-ui)

Provides:       bundled(js-d3)

Provides:       bundled(js-mpld3)

Provides:       bundled(python2-FieldTrip)

BuildRequires:  python2-devel

BuildRequires:  python2-setuptools

BuildRequires:  python2-nose

BuildRequires:  python2-numpy

# Test deps

BuildRequires:  python2-scipy

BuildRequires:  python2-matplotlib

BuildRequires:  python2-decorator

BuildRequires:  python2-h5io

BuildRequires:  python2-jdcal

BuildRequires:  python2-six

BuildRequires:  python-tempita

BuildRequires:  python2-scikit-learn

BuildRequires:  python2-patsy

#BuildRequires:  Mayavi # XXX: GUI needed

BuildRequires:  python2-Traits

Requires:       python2-numpy

Requires:       python2-scipy

Requires:       python2-matplotlib

Requires:       python2-decorator

Requires:       python2-h5io

Requires:       python2-jdcal

Requires:       python2-six

Requires:       python-tempita

Recommends:     python2-scikit-learn

Recommends:     python2-pandas

Recommends:     python2-patsy

Recommends:     python2-pillow

Recommends:     python2-h5py

Recommends:     python2-statsmodels

Recommends:     python2-Traits

%description -n python2-%{modname}

This package is designed for sensor- and source-space analysis of M-EEG data,

including frequency-domain and time-frequency analyses and non-parametric

statistics.

Python 2 version.

%package -n python3-%{modname}

Summary:        %{summary}

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

Provides:       bundled(bootstrap)

Provides:       bundled(js-jquery)

Provides:       bundled(js-jquery-ui)

Provides:       bundled(js-d3)

Provides:       bundled(js-mpld3)

Provides:       bundled(python3-FieldTrip)

BuildRequires:  python3-devel

BuildRequires:  python3-setuptools

BuildRequires:  python3-nose

BuildRequires:  python3-numpy

# Test deps

BuildRequires:  python3-scipy

BuildRequires:  python3-matplotlib

BuildRequires:  python3-decorator

BuildRequires:  python3-h5io

BuildRequires:  python3-jdcal

BuildRequires:  python3-six

BuildRequires:  python3-tempita

BuildRequires:  python3-scikit-learn

BuildRequires:  python3-patsy

BuildRequires:  python3-Traits

Requires:       python3-numpy

Requires:       python3-scipy

Requires:       python3-matplotlib

Requires:       python3-decorator

Requires:       python3-h5io

Requires:       python3-jdcal

Requires:       python3-six

Requires:       python3-tempita

Recommends:     python3-scikit-learn

Recommends:     python3-pandas

Recommends:     python3-patsy

Recommends:     python3-pillow

Recommends:     python3-h5py

Recommends:     python3-statsmodels

Recommends:     python3-Traits

%description -n python3-%{modname}

This package is designed for sensor- and source-space analysis of M-EEG data,

including frequency-domain and time-frequency analyses and non-parametric

statistics.

Python 3 version.

%prep

%autosetup -n %{modname}-python-%{version}

pushd %{modname}/externals/

  # Remove bundled six, jdcal, decorator, tempita, h5io

  # Save bundled FieldTrip (can't find upstream)

  rm -rf six.py jdcal.py decorator.py tempita/ h5io/

  echo > __init__.py

  [ $(find -maxdepth 1 -mindepth 1 | grep -v FieldTrip.py | grep -v __init__.py | wc -l) -eq 0 ] || exit 1

popd

# use all six/jdcal/decorator/h5io from system

# fix API change for jdjcal/jcal2jd

find -type f -name '*.py' -exec sed -i \

  -e "s/from mne.externals.six/from six/" \

  -e "s/from \.*externals.six/from six/" \

  -e "s/from mne.externals import six/import six/" \

  -e "s/from \.*externals import six/import six/" \

  -e "s/from \.*externals.jdcal/from jdcal/" \

  -e "s/from \.*externals.decorator/from decorator/" \

  -e "s/from \.*externals.h5io/from h5io/" \

  -e "s/from \.*externals.tempita/from tempita/" \

  -e "s/jd2jcal(\(.*\))/jd2jcal(\1, 0)[:-1]/" \

  -e "s/(jcal2jd(\(.*\)))/(jcal2jd(\1)[-1])/" \

  {} ';'

sed -i -e "/mne\.externals\.[^']*/d" setup.py

sed -i -e '1{\@^#!/usr/bin/env python@d}' %{modname}/commands/*.py

sed -i -e '1s|^#!.*$|#!%{__python3}|' bin/%{modname}

#cp -p %{SOURCE1} .

#python -c "import mne; mne.datasets.sample.data_path(verbose=True, download=False)"

%build

%py2_build

%py3_build

%install

%py2_install

%py3_install

%check

export MNE_SKIP_TESTING_DATASET_TESTS=true

export MNE_SKIP_NETWORK_TESTS=1

# In koji it is timing out

%global to_skip test_spectral_connectivity

nosetests-%{python2_version} -v %{?to_skip:-e %{to_skip}} || :

nosetests-%{python3_version} -v %{?to_skip:-e %{to_skip}} || :

%files -n python2-%{modname}

%license LICENSE.txt

%doc README.rst examples AUTHORS.rst

%{python2_sitelib}/%{modname}/

%{python2_sitelib}/%{modname}-*.egg-info/

%files -n python3-%{modname}

%license LICENSE.txt

%doc README.rst examples AUTHORS.rst

%{_bindir}/%{modname}

%{python3_sitelib}/%{modname}/

%{python3_sitelib}/%{modname}-*.egg-info/

%changelog

* Thu Jul 27 2017 Fedora Release Engineering <releng@fedoraproject.org> - 0.13.1-4

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

* Sat Feb 11 2017 Fedora Release Engineering <releng@fedoraproject.org> - 0.13.1-3

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

* Mon Dec 19 2016 Miro HronĨok <mhroncok@redhat.com> - 0.13.1-2

- Rebuild for Python 3.6

* Tue Nov 29 2016 Igor Gnatenko <i.gnatenko.brain@gmail.com> - 0.13.1-1

- Update to 0.13.1

* Mon Sep 26 2016 Dominik Mierzejewski <rpm@greysector.net> - 0.10-8

- rebuilt for matplotlib-2.0.0

* Tue Jul 19 2016 Fedora Release Engineering <rel-eng@lists.fedoraproject.org> - 0.10-7

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

* Thu Feb 04 2016 Fedora Release Engineering <releng@fedoraproject.org> - 0.10-6

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

* Sun Nov 29 2015 Igor Gnatenko <i.gnatenko.brain@gmail.com> - 0.10-5

- Rebuild for fixed scipy

* Wed Nov 11 2015 Igor Gnatenko <i.gnatenko.brain@gmail.com> - 0.10-4

- Fix non-executable-script

* Mon Nov 09 2015 Igor Gnatenko <i.gnatenko.brain@gmail.com> - 0.10-3

- Fix unbundling jdcal

* Sun Nov 08 2015 Igor Gnatenko <i.gnatenko.brain@gmail.com> - 0.10-2

- /usr/bin/mne uses python3

- fix dependencies around Traits (add py3 version)

- unbundle jdcal/six/decorator/tempita/h5io

- add Provides: bundled(pythonX-FieldTrip)

- More better Summary

* Fri Oct 30 2015 Igor Gnatenko <i.gnatenko.brain@gmail.com> - 0.10-1

- Initial package