%global _empty_manifest_terminate_build 0 Name: python-data-genie Version: 1.3.9 Release: 1 Summary: A small genie to generate test data License: MIT License URL: https://github.com/mkeshav/data-genie.git Source0: https://mirrors.nju.edu.cn/pypi/web/packages/ee/1d/cf30c06adeb44d54e548ed0d74ef51171c11c736281aa8d02e8ed5fbc7d3/data-genie-1.3.9.tar.gz BuildArch: noarch Requires: python3-pandas Requires: python3-jinja2 Requires: python3-markovify Requires: python3-lark-parser Requires: python3-data-science-types %description [![CircleCI](https://circleci.com/gh/mkeshav/data-genie.svg?style=shield)](https://circleci.com/gh/mkeshav/data-genie) [![PyPI version](https://badge.fury.io/py/data-genie.svg)](https://badge.fury.io/py/data-genie) [![Documentation Status](https://readthedocs.org/projects/data-genie/badge/?version=latest)](https://data-genie.readthedocs.io/en/latest/?badge=latest) [![Codacy Badge](https://app.codacy.com/project/badge/Grade/2ed18483f4094f378945727c11eb7ab2)](https://www.codacy.com/gh/mkeshav/data-genie/dashboard?utm_source=github.com&utm_medium=referral&utm_content=mkeshav/data-genie&utm_campaign=Badge_Grade) [![Codacy Badge](https://app.codacy.com/project/badge/Coverage/2ed18483f4094f378945727c11eb7ab2)](https://www.codacy.com/gh/mkeshav/data-genie/dashboard?utm_source=github.com&utm_medium=referral&utm_content=mkeshav/data-genie&utm_campaign=Badge_Coverage) # Data Genie Genie that can satisfy your data wish. ## QuickStart - `python3 -m pip install data-genie` - Detailed [Documentation](https://data-genie.readthedocs.io) ## Supported Formats - Fixed Width - Delimited (CSV) - JSON ## Data quality `dqc` module allows to write data quality checks on pandas data frame. %package -n python3-data-genie Summary: A small genie to generate test data Provides: python-data-genie BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-data-genie [![CircleCI](https://circleci.com/gh/mkeshav/data-genie.svg?style=shield)](https://circleci.com/gh/mkeshav/data-genie) [![PyPI version](https://badge.fury.io/py/data-genie.svg)](https://badge.fury.io/py/data-genie) [![Documentation Status](https://readthedocs.org/projects/data-genie/badge/?version=latest)](https://data-genie.readthedocs.io/en/latest/?badge=latest) [![Codacy Badge](https://app.codacy.com/project/badge/Grade/2ed18483f4094f378945727c11eb7ab2)](https://www.codacy.com/gh/mkeshav/data-genie/dashboard?utm_source=github.com&utm_medium=referral&utm_content=mkeshav/data-genie&utm_campaign=Badge_Grade) [![Codacy Badge](https://app.codacy.com/project/badge/Coverage/2ed18483f4094f378945727c11eb7ab2)](https://www.codacy.com/gh/mkeshav/data-genie/dashboard?utm_source=github.com&utm_medium=referral&utm_content=mkeshav/data-genie&utm_campaign=Badge_Coverage) # Data Genie Genie that can satisfy your data wish. ## QuickStart - `python3 -m pip install data-genie` - Detailed [Documentation](https://data-genie.readthedocs.io) ## Supported Formats - Fixed Width - Delimited (CSV) - JSON ## Data quality `dqc` module allows to write data quality checks on pandas data frame. %package help Summary: Development documents and examples for data-genie Provides: python3-data-genie-doc %description help [![CircleCI](https://circleci.com/gh/mkeshav/data-genie.svg?style=shield)](https://circleci.com/gh/mkeshav/data-genie) [![PyPI version](https://badge.fury.io/py/data-genie.svg)](https://badge.fury.io/py/data-genie) [![Documentation Status](https://readthedocs.org/projects/data-genie/badge/?version=latest)](https://data-genie.readthedocs.io/en/latest/?badge=latest) [![Codacy Badge](https://app.codacy.com/project/badge/Grade/2ed18483f4094f378945727c11eb7ab2)](https://www.codacy.com/gh/mkeshav/data-genie/dashboard?utm_source=github.com&utm_medium=referral&utm_content=mkeshav/data-genie&utm_campaign=Badge_Grade) [![Codacy Badge](https://app.codacy.com/project/badge/Coverage/2ed18483f4094f378945727c11eb7ab2)](https://www.codacy.com/gh/mkeshav/data-genie/dashboard?utm_source=github.com&utm_medium=referral&utm_content=mkeshav/data-genie&utm_campaign=Badge_Coverage) # Data Genie Genie that can satisfy your data wish. ## QuickStart - `python3 -m pip install data-genie` - Detailed [Documentation](https://data-genie.readthedocs.io) ## Supported Formats - Fixed Width - Delimited (CSV) - JSON ## Data quality `dqc` module allows to write data quality checks on pandas data frame. %prep %autosetup -n data-genie-1.3.9 %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-data-genie -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Mon May 15 2023 Python_Bot - 1.3.9-1 - Package Spec generated