%global _empty_manifest_terminate_build 0
Name: python-sciunit
Version: 0.2.7
Release: 1
Summary: A test-driven framework for formally validating scientific models against data.
License: MIT
URL: http://sciunit.scidash.org
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/85/6c/0344925ccb20cbf96949c3493c924c4e9a012ba0a8395fa80ab218264666/sciunit-0.2.7.tar.gz
BuildArch: noarch
Requires: python3-bs4
Requires: python3-cerberus
Requires: python3-deepdiff
Requires: python3-gitpython
Requires: python3-importlib-metadata
Requires: python3-ipykernel
Requires: python3-ipython
Requires: python3-jsonpickle
Requires: python3-lxml
Requires: python3-matplotlib
Requires: python3-nbconvert
Requires: python3-nbformat
Requires: python3-pandas
Requires: python3-quantities
%description
[](https://github.com/scidash/sciunit/actions/workflows/python-package.yml)
[](http://sciunit.readthedocs.io/en/latest/?badge=master)
[](https://mybinder.org/v2/gh/scidash/sciunit/master?filepath=docs%2Fchapter1.ipynb)
[](https://coveralls.io/github/scidash/sciunit?branch=master)
[](https://github.com/scidash/sciunit/network/dependents?dependent_type=REPOSITORY)
# SciUnit: A Test-Driven Framework for Formally Validating Scientific Models Against Data
## Concept
[The conference paper](https://github.com/cyrus-/papers/raw/master/sciunit-icse14/sciunit-icse14.pdf)
## Documentation
[](https://colab.research.google.com/github/scidash/sciunit/blob/master/docs/chapter1.ipynb)
[Jupyter Tutorials](https://scidash.org/sciunit/README.html)
[API Documentation](http://sciunit.rtfd.io)
## Installation
```python
pip install sciunit
```
or
```python
conda install -c conda-forge sciunit
```
## Basic Usage
```python
my_model = MyModel(**my_args) # Instantiate a class that wraps your model of interest.
my_test = MyTest(**my_params) # Instantiate a test that you write.
score = my_test.judge() # Runs the test and return a rich score containing test results and more.
```
## Domain-specific libraries and information
[NeuronUnit](https://github.com/scidash/neuronunit) for neuron and ion channel physiology
See others [here](https://github.com/scidash/sciunit/network/dependents?dependent_type=REPOSITORY)
## Mailing List
There is a [mailing list](https://groups.google.com/forum/?fromgroups#!forum/sciunit) for announcements and discussion.
Please join it if you are at all interested!
## Contributors
* [Rick Gerkin](http://rick.gerk.in), Arizona State University (School of Life Science)
* [Cyrus Omar](http://cs.cmu.edu/~comar), Carnegie Mellon University (Dept. of Computer Science)
## Reproducible Research ID
RRID:[SCR_014528](https://scicrunch.org/resources/Any/record/nlx_144509-1/3faed1d9-6579-5da6-b4b4-75a5077656bb/search?q=sciunit&l=sciunit)
## License
SciUnit is released under the permissive [MIT license](https://opensource.org/licenses/MIT), requiring only attribution in derivative works. See the LICENSE file for terms.
%package -n python3-sciunit
Summary: A test-driven framework for formally validating scientific models against data.
Provides: python-sciunit
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-sciunit
[](https://github.com/scidash/sciunit/actions/workflows/python-package.yml)
[](http://sciunit.readthedocs.io/en/latest/?badge=master)
[](https://mybinder.org/v2/gh/scidash/sciunit/master?filepath=docs%2Fchapter1.ipynb)
[](https://coveralls.io/github/scidash/sciunit?branch=master)
[](https://github.com/scidash/sciunit/network/dependents?dependent_type=REPOSITORY)
# SciUnit: A Test-Driven Framework for Formally Validating Scientific Models Against Data
## Concept
[The conference paper](https://github.com/cyrus-/papers/raw/master/sciunit-icse14/sciunit-icse14.pdf)
## Documentation
[](https://colab.research.google.com/github/scidash/sciunit/blob/master/docs/chapter1.ipynb)
[Jupyter Tutorials](https://scidash.org/sciunit/README.html)
[API Documentation](http://sciunit.rtfd.io)
## Installation
```python
pip install sciunit
```
or
```python
conda install -c conda-forge sciunit
```
## Basic Usage
```python
my_model = MyModel(**my_args) # Instantiate a class that wraps your model of interest.
my_test = MyTest(**my_params) # Instantiate a test that you write.
score = my_test.judge() # Runs the test and return a rich score containing test results and more.
```
## Domain-specific libraries and information
[NeuronUnit](https://github.com/scidash/neuronunit) for neuron and ion channel physiology
See others [here](https://github.com/scidash/sciunit/network/dependents?dependent_type=REPOSITORY)
## Mailing List
There is a [mailing list](https://groups.google.com/forum/?fromgroups#!forum/sciunit) for announcements and discussion.
Please join it if you are at all interested!
## Contributors
* [Rick Gerkin](http://rick.gerk.in), Arizona State University (School of Life Science)
* [Cyrus Omar](http://cs.cmu.edu/~comar), Carnegie Mellon University (Dept. of Computer Science)
## Reproducible Research ID
RRID:[SCR_014528](https://scicrunch.org/resources/Any/record/nlx_144509-1/3faed1d9-6579-5da6-b4b4-75a5077656bb/search?q=sciunit&l=sciunit)
## License
SciUnit is released under the permissive [MIT license](https://opensource.org/licenses/MIT), requiring only attribution in derivative works. See the LICENSE file for terms.
%package help
Summary: Development documents and examples for sciunit
Provides: python3-sciunit-doc
%description help
[](https://github.com/scidash/sciunit/actions/workflows/python-package.yml)
[](http://sciunit.readthedocs.io/en/latest/?badge=master)
[](https://mybinder.org/v2/gh/scidash/sciunit/master?filepath=docs%2Fchapter1.ipynb)
[](https://coveralls.io/github/scidash/sciunit?branch=master)
[](https://github.com/scidash/sciunit/network/dependents?dependent_type=REPOSITORY)
# SciUnit: A Test-Driven Framework for Formally Validating Scientific Models Against Data
## Concept
[The conference paper](https://github.com/cyrus-/papers/raw/master/sciunit-icse14/sciunit-icse14.pdf)
## Documentation
[](https://colab.research.google.com/github/scidash/sciunit/blob/master/docs/chapter1.ipynb)
[Jupyter Tutorials](https://scidash.org/sciunit/README.html)
[API Documentation](http://sciunit.rtfd.io)
## Installation
```python
pip install sciunit
```
or
```python
conda install -c conda-forge sciunit
```
## Basic Usage
```python
my_model = MyModel(**my_args) # Instantiate a class that wraps your model of interest.
my_test = MyTest(**my_params) # Instantiate a test that you write.
score = my_test.judge() # Runs the test and return a rich score containing test results and more.
```
## Domain-specific libraries and information
[NeuronUnit](https://github.com/scidash/neuronunit) for neuron and ion channel physiology
See others [here](https://github.com/scidash/sciunit/network/dependents?dependent_type=REPOSITORY)
## Mailing List
There is a [mailing list](https://groups.google.com/forum/?fromgroups#!forum/sciunit) for announcements and discussion.
Please join it if you are at all interested!
## Contributors
* [Rick Gerkin](http://rick.gerk.in), Arizona State University (School of Life Science)
* [Cyrus Omar](http://cs.cmu.edu/~comar), Carnegie Mellon University (Dept. of Computer Science)
## Reproducible Research ID
RRID:[SCR_014528](https://scicrunch.org/resources/Any/record/nlx_144509-1/3faed1d9-6579-5da6-b4b4-75a5077656bb/search?q=sciunit&l=sciunit)
## License
SciUnit is released under the permissive [MIT license](https://opensource.org/licenses/MIT), requiring only attribution in derivative works. See the LICENSE file for terms.
%prep
%autosetup -n sciunit-0.2.7
%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-sciunit -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Thu Mar 09 2023 Python_Bot - 0.2.7-1
- Package Spec generated