From eeb0b689608d2bec94d14c553a2c5ffd342d918f Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Fri, 5 May 2023 06:13:58 +0000 Subject: automatic import of python-tweezepy --- .gitignore | 1 + python-tweezepy.spec | 172 +++++++++++++++++++++++++++++++++++++++++++++++++++ sources | 1 + 3 files changed, 174 insertions(+) create mode 100644 python-tweezepy.spec create mode 100644 sources diff --git a/.gitignore b/.gitignore index e69de29..00a3ebb 100644 --- a/.gitignore +++ b/.gitignore @@ -0,0 +1 @@ +/Tweezepy-1.2.6.tar.gz diff --git a/python-tweezepy.spec b/python-tweezepy.spec new file mode 100644 index 0000000..4163637 --- /dev/null +++ b/python-tweezepy.spec @@ -0,0 +1,172 @@ +%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 diff --git a/sources b/sources new file mode 100644 index 0000000..21d7182 --- /dev/null +++ b/sources @@ -0,0 +1 @@ +9f068f89c4c04a22e3cba70419270eec Tweezepy-1.2.6.tar.gz -- cgit v1.2.3