%global _empty_manifest_terminate_build 0 Name: python-rumydata Version: 1.4.2 Release: 1 Summary: A python package for validating expectations of text data, and safely reporting exceptions License: MIT License URL: https://github.com/Mikuana/rumydata Source0: https://mirrors.aliyun.com/pypi/web/packages/c4/6d/e66f55a940a8a8ae2ab8a9e1d8bd53cee93e5e651c09883b78b109602a45/rumydata-1.4.2.tar.gz BuildArch: noarch Requires: python3-openpyxl Requires: python3-markdown Requires: python3-pandas Requires: python3-pyarrow Requires: python3-pytest Requires: python3-pytest-mock Requires: python3-pytest-cov Requires: python3-openpyxl Requires: python3-markdown Requires: python3-pandas Requires: python3-pyarrow %description # Are You My Data? [![PyPI](https://img.shields.io/pypi/v/rumydata)](https://pypi.org/project/rumydata/) [![Documentation Status](https://readthedocs.org/projects/rumydata/badge/)](https://rumydata.readthedocs.io/) [![codecov](https://codecov.io/gh/Mikuana/rumydata/branch/main/graph/badge.svg)](https://codecov.io/gh/Mikuana/rumydata) This python package provides a set of tools to solve several of the major challenges that arise in the transmission of data. These tools attempt to solve four main problems: 1. defining exactly what your data should be 2. communicating that definition to others (so they can send you data) 3. validating the data that you receive 4. not disclosing the data on accident These problems are solved with the following feature sets in this package: 1. an expressive, extensible set of classes to define a data set 2. technical documentation generators, based upon the definition 3. data validation methods, based upon the definition 4. sanitized error messages which state what the data *should* be, but not what it actually is (i.e. what was expected, not what was received) # Installation For most users, the recommended method to install is via pip: ```shell script pip install rumydata ``` This package requires python version 3.7 or higher. By default there are no third-party package dependencies. However, some extras are available. - **Excel** `pip install rumydata[Excel]` - **Parquet** `pip install rumydata[Parquet]` # Documentation Please see the full documentation at [readthedocs](https://rumydata.readthedocs.io/.) # Versioning This project follows the specifications of [Semantic Versioning 2.0](https://semver.org/). Users of this package should avoid calling any private or semi-private members (i.e. starting with one or more underscores `_` in the name). As long as this rule is followed, upgrading to a higher minor or patch release should always be safe. %package -n python3-rumydata Summary: A python package for validating expectations of text data, and safely reporting exceptions Provides: python-rumydata BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-rumydata # Are You My Data? [![PyPI](https://img.shields.io/pypi/v/rumydata)](https://pypi.org/project/rumydata/) [![Documentation Status](https://readthedocs.org/projects/rumydata/badge/)](https://rumydata.readthedocs.io/) [![codecov](https://codecov.io/gh/Mikuana/rumydata/branch/main/graph/badge.svg)](https://codecov.io/gh/Mikuana/rumydata) This python package provides a set of tools to solve several of the major challenges that arise in the transmission of data. These tools attempt to solve four main problems: 1. defining exactly what your data should be 2. communicating that definition to others (so they can send you data) 3. validating the data that you receive 4. not disclosing the data on accident These problems are solved with the following feature sets in this package: 1. an expressive, extensible set of classes to define a data set 2. technical documentation generators, based upon the definition 3. data validation methods, based upon the definition 4. sanitized error messages which state what the data *should* be, but not what it actually is (i.e. what was expected, not what was received) # Installation For most users, the recommended method to install is via pip: ```shell script pip install rumydata ``` This package requires python version 3.7 or higher. By default there are no third-party package dependencies. However, some extras are available. - **Excel** `pip install rumydata[Excel]` - **Parquet** `pip install rumydata[Parquet]` # Documentation Please see the full documentation at [readthedocs](https://rumydata.readthedocs.io/.) # Versioning This project follows the specifications of [Semantic Versioning 2.0](https://semver.org/). Users of this package should avoid calling any private or semi-private members (i.e. starting with one or more underscores `_` in the name). As long as this rule is followed, upgrading to a higher minor or patch release should always be safe. %package help Summary: Development documents and examples for rumydata Provides: python3-rumydata-doc %description help # Are You My Data? [![PyPI](https://img.shields.io/pypi/v/rumydata)](https://pypi.org/project/rumydata/) [![Documentation Status](https://readthedocs.org/projects/rumydata/badge/)](https://rumydata.readthedocs.io/) [![codecov](https://codecov.io/gh/Mikuana/rumydata/branch/main/graph/badge.svg)](https://codecov.io/gh/Mikuana/rumydata) This python package provides a set of tools to solve several of the major challenges that arise in the transmission of data. These tools attempt to solve four main problems: 1. defining exactly what your data should be 2. communicating that definition to others (so they can send you data) 3. validating the data that you receive 4. not disclosing the data on accident These problems are solved with the following feature sets in this package: 1. an expressive, extensible set of classes to define a data set 2. technical documentation generators, based upon the definition 3. data validation methods, based upon the definition 4. sanitized error messages which state what the data *should* be, but not what it actually is (i.e. what was expected, not what was received) # Installation For most users, the recommended method to install is via pip: ```shell script pip install rumydata ``` This package requires python version 3.7 or higher. By default there are no third-party package dependencies. However, some extras are available. - **Excel** `pip install rumydata[Excel]` - **Parquet** `pip install rumydata[Parquet]` # Documentation Please see the full documentation at [readthedocs](https://rumydata.readthedocs.io/.) # Versioning This project follows the specifications of [Semantic Versioning 2.0](https://semver.org/). Users of this package should avoid calling any private or semi-private members (i.e. starting with one or more underscores `_` in the name). As long as this rule is followed, upgrading to a higher minor or patch release should always be safe. %prep %autosetup -n rumydata-1.4.2 %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-rumydata -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue Jun 20 2023 Python_Bot - 1.4.2-1 - Package Spec generated