%global _empty_manifest_terminate_build 0
Name:		python-bestpix
Version:	1.5.8
Release:	1
Summary:	please add a summary manually as the author left a blank one
License:	GNU GPLv3
URL:		https://github.com/mkchuprin/BestPix
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/a0/ed/3588a8cfb69c9d35b5f4493e8b287ee5dd0cd81dbc64c9679efa75466b45/bestpix-1.5.8.tar.gz
BuildArch:	noarch


%description
# BestPix

View your best photos by seeing what Apple's machine learning models rate them.
Inspired by Simon Willison's [Pelican post](https://simonwillison.net/2020/May/21/dogsheep-photos/)!


### Description

All of the photos on your iPhone are put through Apple's machine learning models to produce "beautifulness" scores. These scores are stored on your iPhone and can be imported to your MacBook. This package allows you to see the 10 most beautiful photos in your browser.


### Supported Platforms

  * Mac only

### Privacy

No data leaves your computer

# Up and Running

### Installing

1. You'll need **Docker Desktop**

   * Check if you have it by running `docker --version`

     ![](gifs/checkdocker.gif)

     **Note**: The exact version might change.

    * You can get it from [docker.com](https://www.docker.com/products/docker-desktop) 

2. You'll need  **Python 3** from [python.org](https://www.python.org/downloads/)

   * To check if you have it by running `python3 --version`

       ![](gifs/checkpython3.gif)

      **Note**: The exact version might change

    * You can get it from [python.org](https://www.python.org/downloads/)

3. Download **BestPix** by running `pip3 install bestpix`.

    ![](gifs/pip3installbestpix.gif)

    **Note**: The exact version might change

### Using

1. Import your iPhone's photos to your Mac. Official instructions [here](https://support.apple.com/en-us/HT201302#importmac)
2. To start Docker Desktop, run `open -a Docker`

    ![](gifs/openadocker.gif)

3.  To start package, run `reveal`

     ![](gifs/reveal.gif)

4. View the results by opening your web browser and going to the url `localhost:8442`

    ![](gifs/localhost.gif)

### Uninstalling

1. Open your terminal and run the command `cleanup`, then the command `pip3 uninstall bestpix`
   ![](gifs/cleanup.gif)
2. Uninstall Docker Desktop as you would any Application. Official instructions [here](https://support.apple.com/en-us/HT202235)



%package -n python3-bestpix
Summary:	please add a summary manually as the author left a blank one
Provides:	python-bestpix
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-bestpix
# BestPix

View your best photos by seeing what Apple's machine learning models rate them.
Inspired by Simon Willison's [Pelican post](https://simonwillison.net/2020/May/21/dogsheep-photos/)!


### Description

All of the photos on your iPhone are put through Apple's machine learning models to produce "beautifulness" scores. These scores are stored on your iPhone and can be imported to your MacBook. This package allows you to see the 10 most beautiful photos in your browser.


### Supported Platforms

  * Mac only

### Privacy

No data leaves your computer

# Up and Running

### Installing

1. You'll need **Docker Desktop**

   * Check if you have it by running `docker --version`

     ![](gifs/checkdocker.gif)

     **Note**: The exact version might change.

    * You can get it from [docker.com](https://www.docker.com/products/docker-desktop) 

2. You'll need  **Python 3** from [python.org](https://www.python.org/downloads/)

   * To check if you have it by running `python3 --version`

       ![](gifs/checkpython3.gif)

      **Note**: The exact version might change

    * You can get it from [python.org](https://www.python.org/downloads/)

3. Download **BestPix** by running `pip3 install bestpix`.

    ![](gifs/pip3installbestpix.gif)

    **Note**: The exact version might change

### Using

1. Import your iPhone's photos to your Mac. Official instructions [here](https://support.apple.com/en-us/HT201302#importmac)
2. To start Docker Desktop, run `open -a Docker`

    ![](gifs/openadocker.gif)

3.  To start package, run `reveal`

     ![](gifs/reveal.gif)

4. View the results by opening your web browser and going to the url `localhost:8442`

    ![](gifs/localhost.gif)

### Uninstalling

1. Open your terminal and run the command `cleanup`, then the command `pip3 uninstall bestpix`
   ![](gifs/cleanup.gif)
2. Uninstall Docker Desktop as you would any Application. Official instructions [here](https://support.apple.com/en-us/HT202235)



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

View your best photos by seeing what Apple's machine learning models rate them.
Inspired by Simon Willison's [Pelican post](https://simonwillison.net/2020/May/21/dogsheep-photos/)!


### Description

All of the photos on your iPhone are put through Apple's machine learning models to produce "beautifulness" scores. These scores are stored on your iPhone and can be imported to your MacBook. This package allows you to see the 10 most beautiful photos in your browser.


### Supported Platforms

  * Mac only

### Privacy

No data leaves your computer

# Up and Running

### Installing

1. You'll need **Docker Desktop**

   * Check if you have it by running `docker --version`

     ![](gifs/checkdocker.gif)

     **Note**: The exact version might change.

    * You can get it from [docker.com](https://www.docker.com/products/docker-desktop) 

2. You'll need  **Python 3** from [python.org](https://www.python.org/downloads/)

   * To check if you have it by running `python3 --version`

       ![](gifs/checkpython3.gif)

      **Note**: The exact version might change

    * You can get it from [python.org](https://www.python.org/downloads/)

3. Download **BestPix** by running `pip3 install bestpix`.

    ![](gifs/pip3installbestpix.gif)

    **Note**: The exact version might change

### Using

1. Import your iPhone's photos to your Mac. Official instructions [here](https://support.apple.com/en-us/HT201302#importmac)
2. To start Docker Desktop, run `open -a Docker`

    ![](gifs/openadocker.gif)

3.  To start package, run `reveal`

     ![](gifs/reveal.gif)

4. View the results by opening your web browser and going to the url `localhost:8442`

    ![](gifs/localhost.gif)

### Uninstalling

1. Open your terminal and run the command `cleanup`, then the command `pip3 uninstall bestpix`
   ![](gifs/cleanup.gif)
2. Uninstall Docker Desktop as you would any Application. Official instructions [here](https://support.apple.com/en-us/HT202235)



%prep
%autosetup -n bestpix-1.5.8

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

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

%changelog
* Tue May 30 2023 Python_Bot <Python_Bot@openeuler.org> - 1.5.8-1
- Package Spec generated