%global _empty_manifest_terminate_build 0
Name:		python-twinpics
Version:	0.0.209
Release:	1
Summary:	twinpics — Social Media Prediction Model
License:	MIT License
URL:		https://www.github.com/albMart/twinpics
Source0:	https://mirrors.aliyun.com/pypi/web/packages/6d/39/008e86255da45338e42417777a43257937171180a9eaf0a95e4823bd10c3/twinpics-0.0.209.tar.gz
BuildArch:	noarch


%description
# twinpics

## Introduction

Social Media Prediction Model

## Installation

In order to get this package working you will need to **install it via pip** (with a Python3.5 version or higher) on the terminal by typing:

``$ pip install twinpics``

Additionally, **if you want to use the latest version instead of the stable one**, you can just use the following command:

``$ pip install git+https://github.com/albMart/Twinpics.git@developer``

**The developer branch ensures the user that the most updated version will always be the working and fully operative** so as not to wait until the stable release on the master branch comes out (which eventually may take some time depending on the amount of issues to solve).

## Documentation

You can find the **complete developer documentation** at: https://twinpics.readthedocs.io/, hosted on [Read the Docs](https://readthedocs.org/) and generated using [sphinx](https://www.sphinx-doc.org/en/master/) with the theme [sphinx_rtd_theme](https://github.com/readthedocs/sphinx_rtd_theme) which is the standard Read the Docs theme for sphinx.

## Usage

So as to use this Python package, a sample piece of code is presented below:

```python
import twinpics

twinpics.sample_function()
```

So on, the previous piece of code outputs the following line:

```{r, engine='python', count_lines}
"This is a sample function"
```

## Contribute

As this is an open source project it is **open to contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas**. There is an open tab of [issues](https://github.com/albMart/Twinpics/issues) where anyone can open new issues if needed or navigate through them in order to solve them or contribute to its solving. Remember that **issues are not threads to describe multiple problems**, this does not mean that issues can't be discussed, but so to keep a structured project management, the same issue should not describe different problems, just the main one and some nested/related errors that may be found.

## Citation

When citing this repository on your publications please use the following **BibTeX** citation:

```
@misc{
    twinpics,
    author = { Alberto Martín Mateos and Niloufar Shoeibi },
    title = { twinpics - Social Media Prediction Model },
    year = { 2020 },
    publisher = {GitHub},
    journal = {GitHub Repository},
    howpublished = {\url{https://github.com/albMart/twinpics}}
}
```

### This repository has been generated using [pypackage-cookie](https://github.com/alvarobartt/pypackage-cookie) made with love by @alvarobartt

%package -n python3-twinpics
Summary:	twinpics — Social Media Prediction Model
Provides:	python-twinpics
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-twinpics
# twinpics

## Introduction

Social Media Prediction Model

## Installation

In order to get this package working you will need to **install it via pip** (with a Python3.5 version or higher) on the terminal by typing:

``$ pip install twinpics``

Additionally, **if you want to use the latest version instead of the stable one**, you can just use the following command:

``$ pip install git+https://github.com/albMart/Twinpics.git@developer``

**The developer branch ensures the user that the most updated version will always be the working and fully operative** so as not to wait until the stable release on the master branch comes out (which eventually may take some time depending on the amount of issues to solve).

## Documentation

You can find the **complete developer documentation** at: https://twinpics.readthedocs.io/, hosted on [Read the Docs](https://readthedocs.org/) and generated using [sphinx](https://www.sphinx-doc.org/en/master/) with the theme [sphinx_rtd_theme](https://github.com/readthedocs/sphinx_rtd_theme) which is the standard Read the Docs theme for sphinx.

## Usage

So as to use this Python package, a sample piece of code is presented below:

```python
import twinpics

twinpics.sample_function()
```

So on, the previous piece of code outputs the following line:

```{r, engine='python', count_lines}
"This is a sample function"
```

## Contribute

As this is an open source project it is **open to contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas**. There is an open tab of [issues](https://github.com/albMart/Twinpics/issues) where anyone can open new issues if needed or navigate through them in order to solve them or contribute to its solving. Remember that **issues are not threads to describe multiple problems**, this does not mean that issues can't be discussed, but so to keep a structured project management, the same issue should not describe different problems, just the main one and some nested/related errors that may be found.

## Citation

When citing this repository on your publications please use the following **BibTeX** citation:

```
@misc{
    twinpics,
    author = { Alberto Martín Mateos and Niloufar Shoeibi },
    title = { twinpics - Social Media Prediction Model },
    year = { 2020 },
    publisher = {GitHub},
    journal = {GitHub Repository},
    howpublished = {\url{https://github.com/albMart/twinpics}}
}
```

### This repository has been generated using [pypackage-cookie](https://github.com/alvarobartt/pypackage-cookie) made with love by @alvarobartt

%package help
Summary:	Development documents and examples for twinpics
Provides:	python3-twinpics-doc
%description help
# twinpics

## Introduction

Social Media Prediction Model

## Installation

In order to get this package working you will need to **install it via pip** (with a Python3.5 version or higher) on the terminal by typing:

``$ pip install twinpics``

Additionally, **if you want to use the latest version instead of the stable one**, you can just use the following command:

``$ pip install git+https://github.com/albMart/Twinpics.git@developer``

**The developer branch ensures the user that the most updated version will always be the working and fully operative** so as not to wait until the stable release on the master branch comes out (which eventually may take some time depending on the amount of issues to solve).

## Documentation

You can find the **complete developer documentation** at: https://twinpics.readthedocs.io/, hosted on [Read the Docs](https://readthedocs.org/) and generated using [sphinx](https://www.sphinx-doc.org/en/master/) with the theme [sphinx_rtd_theme](https://github.com/readthedocs/sphinx_rtd_theme) which is the standard Read the Docs theme for sphinx.

## Usage

So as to use this Python package, a sample piece of code is presented below:

```python
import twinpics

twinpics.sample_function()
```

So on, the previous piece of code outputs the following line:

```{r, engine='python', count_lines}
"This is a sample function"
```

## Contribute

As this is an open source project it is **open to contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas**. There is an open tab of [issues](https://github.com/albMart/Twinpics/issues) where anyone can open new issues if needed or navigate through them in order to solve them or contribute to its solving. Remember that **issues are not threads to describe multiple problems**, this does not mean that issues can't be discussed, but so to keep a structured project management, the same issue should not describe different problems, just the main one and some nested/related errors that may be found.

## Citation

When citing this repository on your publications please use the following **BibTeX** citation:

```
@misc{
    twinpics,
    author = { Alberto Martín Mateos and Niloufar Shoeibi },
    title = { twinpics - Social Media Prediction Model },
    year = { 2020 },
    publisher = {GitHub},
    journal = {GitHub Repository},
    howpublished = {\url{https://github.com/albMart/twinpics}}
}
```

### This repository has been generated using [pypackage-cookie](https://github.com/alvarobartt/pypackage-cookie) made with love by @alvarobartt

%prep
%autosetup -n twinpics-0.0.209

%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-twinpics -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.209-1
- Package Spec generated