# Enabled by default # If the package needs to download data for the test which cannot be done in # koji, these can be disabled in koji by using `bcond_with` instead, but the # tests must be validated in mock with network enabled like so: # mock -r fedora-rawhide-x86_64 rebuild --enable-network --rpmbuild-opts="--with tests" %bcond_without tests # Requires m2r2 and other deps so disabled for the moment %bcond_with docs %global pypi_name LFPykit %global lower_name lfpykit %global _description %{expand: This Python module contain freestanding implementations of electrostatic forward models incorporated in LFPy (https://github.com/LFPy/LFPy, https://LFPy.readthedocs.io). The aim of the LFPykit module is to provide electrostatic models in a manner that facilitates forward-model predictions of extracellular potentials and related measures from multicompartment neuron models, but without explicit dependencies on neural simulation software such as NEURON (https://neuron.yale.edu, https://github.com/neuronsimulator/nrn), Arbor (https://arbor.readthedocs.io, https://github.com/arbor-sim/arbor), or even LFPy. The LFPykit module can then be more easily incorporated with these simulators, or in various projects that utilize them such as LFPy (https://LFPy.rtfd.io, https://github.com/LFPy/LFPy). BMTK (https://alleninstitute.github.io/bmtk/, https://github.com/AllenInstitute/bmtk), etc. Its main functionality is providing class methods that return two-dimensional linear transformation matrices M between transmembrane currents I of multicompartment neuron models and some measurement Y given by Y=MI. The presently incorporated volume conductor models have been incorporated in LFPy (https://LFPy.rtfd.io, https://github.com/LFPy/LFPy), as described in various papers and books: - Linden H, Hagen E, Leski S, Norheim ES, Pettersen KH, Einevoll GT (2014) LFPy: a tool for biophysical simulation of extracellular potentials generated by detailed model neurons. Front. Neuroinform. 7:41. doi: 10.3389/fninf.2013.00041 - Hagen E, Næss S, Ness TV and Einevoll GT (2018) Multimodal Modeling of Neural Network Activity: Computing LFP, ECoG, EEG, and MEG Signals With LFPy 2.0. Front. Neuroinform. 12:92. doi: 10.3389/fninf.2018.00092 - Ness, T. V., Chintaluri, C., Potworowski, J., Leski, S., Glabska, H., Wójcik, D. K., et al. (2015). Modelling and analysis of electrical potentials recorded in microelectrode arrays (MEAs). Neuroinformatics 13:403–426. doi: 10.1007/s12021-015-9265-6 - Nunez and Srinivasan, Oxford University Press, 2006 - Næss S, Chintaluri C, Ness TV, Dale AM, Einevoll GT and Wójcik DK (2017). Corrected Four-sphere Head Model for EEG Signals. Front. Hum. Neurosci. 11:490. doi: 10.3389/fnhum.2017.00490} Name: python-%{lower_name} Version: 0.3 Release: 4%{?dist} Summary: Electrostatic models for multicompartment neuron models License: GPLv3+ URL: https://pypi.org/pypi/%{pypi_name} Source0: %pypi_source BuildArch: noarch %description %_description %package -n python3-%{lower_name} Summary: %{summary} BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: %{py3_dist h5py} BuildRequires: %{py3_dist meautility} BuildRequires: %{py3_dist numpy} BuildRequires: %{py3_dist pytest} BuildRequires: %{py3_dist scipy} %if %{with docs} # Documentation BuildRequires: make BuildRequires: %{py3_dist sphinx} BuildRequires: %{py3_dist numpydoc} %endif %description -n python3-%{lower_name} %_description %package doc Summary: %{summary} %description doc Documentation for %{name}. %prep %autosetup -n %{pypi_name}-%{version} rm -rf %{pypi_name}.egg-info find . -type f -name "*.py" -exec sed -i '/^#![ ]*\/usr\/bin\/env.*$/ d' {} 2>/dev/null ';' %build %py3_build %if %{with docs} make -C doc/source SPHINXBUILD=sphinx-build-3 html rm -rf doc/source/_build/html/{.doctrees,.buildinfo} -vf %endif %install %py3_install %check %if %{with tests} %{pytest} %endif %files -n python3-%{lower_name} %license LICENSE %doc README.md %{python3_sitelib}/%{pypi_name}-%{version}-py%{python3_version}.egg-info %{python3_sitelib}/%{lower_name} %files doc %license LICENSE %doc examples %if %{with docs} %doc doc/source/_build/html %endif %changelog * Fri Jan 21 2022 Fedora Release Engineering - 0.3-4 - Rebuilt for https://fedoraproject.org/wiki/Fedora_36_Mass_Rebuild * Fri Jul 23 2021 Fedora Release Engineering - 0.3-3 - Rebuilt for https://fedoraproject.org/wiki/Fedora_35_Mass_Rebuild * Thu Jul 01 2021 Ankur Sinha - 0.3-2 - Use lowername for sub package * Sun Jun 27 2021 Ankur Sinha - 0.3-1 - Initial package