%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 [![DOI](https://zenodo.org/badge/261266475.svg)](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 [![DOI](https://zenodo.org/badge/261266475.svg)](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 [![DOI](https://zenodo.org/badge/261266475.svg)](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 - 1.2.6-1 - Package Spec generated