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%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 <Python_Bot@openeuler.org> - 1.4.2-1
- Package Spec generated