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Name:           python-pyspike
Version:        0.8.0
Release:        %autorelease
Summary:        Library for the numerical analysis of spike train similarity

License:        BSD-2-Clause
Source:         %{url}/archive/%{version}/PySpike-%{version}.tar.gz

# Adapt numpy_include proxy for Cython 3 by making it an os.PathLike
# See also:
Patch:          %{url}/pull/75.patch
# Exclude tests from packages
Patch:          %{url}/pull/76.patch
# In setup.cfg, replace deprecated metadata.description-file
Patch:          %{url}/pull/77.patch

BuildRequires:  python3-devel
BuildRequires:  %{py3_dist Cython}
BuildRequires:  gcc

# Test dependencies are documented in Readme.rst:
BuildRequires:  %{py3_dist pytest}
BuildRequires:  %{py3_dist scipy}

%global _description %{expand:
PySpike is a Python library for the numerical analysis of spike train
similarity. Its core functionality is the implementation of the ISI-distance[1]
and SPIKE-distance[2], SPIKE-Synchronization [3], as well as their adaptive
generalizations[4]. It provides functions to compute multivariate profiles,
distance matrices, as well as averaging and general spike train processing. All
computation intensive parts are implemented in C via Cython to reach a
competitive performance (factor 100-200 over plain Python).

PySpike provides the same fundamental functionality as the SPIKY framework for
Matlab, which additionally contains spike-train generators, more spike train
distance measures and many visualization routines.

If you use PySpike in your research, please cite our SoftwareX publication on

Mario Mulansky, Thomas Kreuz, *PySpike - A Python library for analyzing spike
train synchrony*, Software X 5, 183 (2016)

Additionally, depending on the used methods: ISI-distance [1], SPIKE-distance
[2], SPIKE-Synchronization [3], or their adaptive generalizations [4], please
cite one or more of the following publications:

[1] Kreuz T, Haas JS, Morelli A, Abarbanel HDI, Politi A, Measuring spike train
synchrony. J Neurosci Methods 165, 151 (2007)

[2] Kreuz T, Chicharro D, Houghton C, Andrzejak RG, Mormann F, Monitoring spike
train synchrony. J Neurophysiol 109, 1457 (2013)

[3] Kreuz T, Mulansky M and Bozanic N, *SPIKY: A graphical user interface for
monitoring spike train synchrony*, J Neurophysiol 113, 3432 (2015)

[4] Satuvuori E, Mulansky M, Bozanic N, Malvestio I, Zeldenrust F, Lenk K, and
Kreuz T, Measures of spike train synchrony for data with multiple time-scales,
J Neurosci Methods 287, 25 (2017)

Documentation is available at}

%description %_description

%package -n python3-pyspike
Summary:        %{summary}

%description -n python3-pyspike %_description

%autosetup -n PySpike-%{version} -p1

# Remove Cythonized C sources
find . -type f -exec grep -FrinIl 'Generated by Cython' '{}' '+' |
  xargs -r -t rm -v

# Comment out to remove /usr/bin/env shebangs
# Can use something similar to correct/remove /usr/bin/python shebangs also
# find . -type f -name "*.py" -exec sed -i '/^#![  ]*\/usr\/bin\/env.*$/ d' {} 2>/dev/null ';'



%pyproject_save_files pyspike

%pytest -v

%files -n python3-pyspike -f %{pyproject_files}
%license License.txt
%doc Readme.rst
%doc Changelog
%doc Contributors.txt
%doc examples/