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%global _empty_manifest_terminate_build 0
Name: python-Tweezepy
Version: 1.2.6
Release: 1
Summary: Single-molecule force spectroscopy calibration
License: GPLv3
URL: https://github.com/ianlmorgan/tweezepy
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/12/4f/31868b52ce4376f16b53710cfda2a6bac82ac68c616279d68b99546a08e1/Tweezepy-1.2.6.tar.gz
BuildArch: noarch
Requires: python3-autograd
Requires: python3-corner
Requires: python3-emcee
Requires: python3-matplotlib
Requires: python3-numba
Requires: python3-numpy
Requires: python3-scipy
%description
# Tweezepy
[](https://zenodo.org/badge/latestdoi/261266475)
This is [Tweezepy](https://github.com/ianlmorgan/tweezepy), a Python package for calibrating forces in single-molecule force spectroscopy video-tracking experiments using the power spectral density (PSD) and Allan variance (AV).
## Documentation
Read the documentation for [Tweezepy](https://tweezepy.readthedocs.io/).
## How to install
The simplest method of installing the `Tweezepy` package is via the [Python Package Index](https://packaging.python.org/glossary/#term-python-package-index-pypi) (PyPI). To install from PyPI, you will need to be able to run python from the command line and make sure you have [pip](https://packaging.python.org/key_projects/#pip) available.
Install from PyPI:
pip install tweezepy
An alternative method to install `Tweezepy` is with setuptools. Clone the repository onto a local machine, then navigate to the directory.
Using setuptools:
cd path/to/tweezepy
python setup.py install
## Contents
The `Tweezepy` package includes the following modules:
* 'smmcalibration' - classes for calibration methods using the PSD and AV
* 'expressions' - functions with closed-form expressions for thermal motion in the PSD and AV
* 'MLE' - classes for maximum likelihood estimation (MLE) and Monte Carlo Markov chain (MCMC) sampling
* 'allanvar' - tools for calculating the AV and equivalent degrees of freedom
* 'simulations' - tools to simulate bead thermal motion
%package -n python3-Tweezepy
Summary: Single-molecule force spectroscopy calibration
Provides: python-Tweezepy
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-Tweezepy
# Tweezepy
[](https://zenodo.org/badge/latestdoi/261266475)
This is [Tweezepy](https://github.com/ianlmorgan/tweezepy), a Python package for calibrating forces in single-molecule force spectroscopy video-tracking experiments using the power spectral density (PSD) and Allan variance (AV).
## Documentation
Read the documentation for [Tweezepy](https://tweezepy.readthedocs.io/).
## How to install
The simplest method of installing the `Tweezepy` package is via the [Python Package Index](https://packaging.python.org/glossary/#term-python-package-index-pypi) (PyPI). To install from PyPI, you will need to be able to run python from the command line and make sure you have [pip](https://packaging.python.org/key_projects/#pip) available.
Install from PyPI:
pip install tweezepy
An alternative method to install `Tweezepy` is with setuptools. Clone the repository onto a local machine, then navigate to the directory.
Using setuptools:
cd path/to/tweezepy
python setup.py install
## Contents
The `Tweezepy` package includes the following modules:
* 'smmcalibration' - classes for calibration methods using the PSD and AV
* 'expressions' - functions with closed-form expressions for thermal motion in the PSD and AV
* 'MLE' - classes for maximum likelihood estimation (MLE) and Monte Carlo Markov chain (MCMC) sampling
* 'allanvar' - tools for calculating the AV and equivalent degrees of freedom
* 'simulations' - tools to simulate bead thermal motion
%package help
Summary: Development documents and examples for Tweezepy
Provides: python3-Tweezepy-doc
%description help
# Tweezepy
[](https://zenodo.org/badge/latestdoi/261266475)
This is [Tweezepy](https://github.com/ianlmorgan/tweezepy), a Python package for calibrating forces in single-molecule force spectroscopy video-tracking experiments using the power spectral density (PSD) and Allan variance (AV).
## Documentation
Read the documentation for [Tweezepy](https://tweezepy.readthedocs.io/).
## How to install
The simplest method of installing the `Tweezepy` package is via the [Python Package Index](https://packaging.python.org/glossary/#term-python-package-index-pypi) (PyPI). To install from PyPI, you will need to be able to run python from the command line and make sure you have [pip](https://packaging.python.org/key_projects/#pip) available.
Install from PyPI:
pip install tweezepy
An alternative method to install `Tweezepy` is with setuptools. Clone the repository onto a local machine, then navigate to the directory.
Using setuptools:
cd path/to/tweezepy
python setup.py install
## Contents
The `Tweezepy` package includes the following modules:
* 'smmcalibration' - classes for calibration methods using the PSD and AV
* 'expressions' - functions with closed-form expressions for thermal motion in the PSD and AV
* 'MLE' - classes for maximum likelihood estimation (MLE) and Monte Carlo Markov chain (MCMC) sampling
* 'allanvar' - tools for calculating the AV and equivalent degrees of freedom
* 'simulations' - tools to simulate bead thermal motion
%prep
%autosetup -n Tweezepy-1.2.6
%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-Tweezepy -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 1.2.6-1
- Package Spec generated
|
