%global _empty_manifest_terminate_build 0
Name:		python-algorithmx
Version:	2.0.3
Release:	1
Summary:	A library for network visualization and algorithm simulation.
License:	MIT
URL:		https://github.com/algrx/algorithmx-python
Source0:	https://mirrors.aliyun.com/pypi/web/packages/a8/d1/e293d0ed901dae76e18ea98606a9a6e6967f988857ed908101292ee031c8/algorithmx-2.0.3.tar.gz
BuildArch:	noarch

Requires:	python3-ipywidgets
Requires:	python3-jupyterlab
Requires:	python3-networkx

%description
# AlgorithmX Python

![build](https://github.com/algrx/algorithmx-python/workflows/build/badge.svg)
[![PyPI version](https://badge.fury.io/py/algorithmx.svg)](https://pypi.org/project/algorithmx)

<img src="https://raw.githubusercontent.com/algrx/algorithmx/master/img/logo.svg?sanitize=true" align="left" hspace="10" width="80px">

**AlgorithmX Python** is a library for network visualization and algorithm simulation, built on <a
href="https://github.com/algrx/algorithmx">AlgorithmX</a>. It can be used through a HTTP/WebSocket
server, or as a widget in Jupyter Notebooks and JupyterLab.
<br><br>

<img src="https://raw.githubusercontent.com/algrx/algorithmx/master/img/example.svg?sanitize=true" align="center" width="600px">

## Resources

- <a href="https://algrx.github.io/">Website</a>
- <a href="https://algrx.github.io/docs/python/">Documentation</a>

## Installation

Python 3.7.0 or higher is required. Using pip:

```
python -m pip install algorithmx
```

### Jupyter Widget

In classic Jupyter notebooks, the widget will typically be enabled by default. To enable it
manually, run

```
jupyter nbextension enable --sys-prefix --py algorithmx
```

with the <a href="https://jupyter-notebook.readthedocs.io/en/stable/extending/frontend_extensions.html#installing-and-enabling-extensions">appropriate flag</a>. To enable in JupyterLab, run

```
python -m jupyter labextension install @jupyter-widgets/jupyterlab-manager --no-build
python -m jupyter lab build
```

## Example Usage

If you wish to use the library through a HTTP/WebSocket server, follow the template below:

```python
import algorithmx

server = algorithmx.http_server(port=5050)
canvas = server.canvas()

def start():
    canvas.nodes([1, 2]).add()
    canvas.edge((1, 2)).add()

canvas.onmessage('start', start)
server.start()
```

The graphics can be found at `http://localhost:5050/`.

If you are using Jupyter, try adding the following code to a cell:

```python
from algorithmx import jupyter_canvas

canvas = jupyter_canvas()

canvas.nodes([1, 2]).add()
canvas.edge((1, 2)).add()

canvas
```

## Development

### Manual install

Make sure you have Python 3.7 of higher, then run

```
# build js
cd js
npm run build
cd ..

# install dependencies
python -m pip install -r dev-requirements.txt
python -m pip install --no-deps --editable ".[jupyter,networkx]"
```

### HTTP Server

Docker: `Docker-compose up http-server`
Manually: `python examples/basic_http_server.py`

Then open `localhost:5050` in a browser.

### Jupyter notebook

Docker: `docker-compose up notebook`
Manually:
```
python -m jupyter nbextenion list
python -m jupyter notebook
```

Then try opening `examples/basic_notebook.ipynb`.

### Jupyter lab

Docker: `docker-compose up jupyter-lab`
Manually:
```
python -m jupyter labextension install @jupyter-widgets/jupyterlab-manager --no-build
python -m jupyter lab build
python -m jupyter labextension list
python -m jupyter lab
```

Then try opening `examples/basic_notebook.ipynb`.

### Build and test package

Clean any previous builds with `rm -rf build dist`.

Docker: `docker-compose up --build build`
Manually:
```
python -m mypy .
python -m pytest tests -vv
python setup.py build sdist bdist_wheel
```

The bundle can be found in `dist/`.

### Distribute

- Set up pre-commit hooks: `pre-commit install`
- Publish to PyPI: `./scripts/deploy.sh`




%package -n python3-algorithmx
Summary:	A library for network visualization and algorithm simulation.
Provides:	python-algorithmx
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-algorithmx
# AlgorithmX Python

![build](https://github.com/algrx/algorithmx-python/workflows/build/badge.svg)
[![PyPI version](https://badge.fury.io/py/algorithmx.svg)](https://pypi.org/project/algorithmx)

<img src="https://raw.githubusercontent.com/algrx/algorithmx/master/img/logo.svg?sanitize=true" align="left" hspace="10" width="80px">

**AlgorithmX Python** is a library for network visualization and algorithm simulation, built on <a
href="https://github.com/algrx/algorithmx">AlgorithmX</a>. It can be used through a HTTP/WebSocket
server, or as a widget in Jupyter Notebooks and JupyterLab.
<br><br>

<img src="https://raw.githubusercontent.com/algrx/algorithmx/master/img/example.svg?sanitize=true" align="center" width="600px">

## Resources

- <a href="https://algrx.github.io/">Website</a>
- <a href="https://algrx.github.io/docs/python/">Documentation</a>

## Installation

Python 3.7.0 or higher is required. Using pip:

```
python -m pip install algorithmx
```

### Jupyter Widget

In classic Jupyter notebooks, the widget will typically be enabled by default. To enable it
manually, run

```
jupyter nbextension enable --sys-prefix --py algorithmx
```

with the <a href="https://jupyter-notebook.readthedocs.io/en/stable/extending/frontend_extensions.html#installing-and-enabling-extensions">appropriate flag</a>. To enable in JupyterLab, run

```
python -m jupyter labextension install @jupyter-widgets/jupyterlab-manager --no-build
python -m jupyter lab build
```

## Example Usage

If you wish to use the library through a HTTP/WebSocket server, follow the template below:

```python
import algorithmx

server = algorithmx.http_server(port=5050)
canvas = server.canvas()

def start():
    canvas.nodes([1, 2]).add()
    canvas.edge((1, 2)).add()

canvas.onmessage('start', start)
server.start()
```

The graphics can be found at `http://localhost:5050/`.

If you are using Jupyter, try adding the following code to a cell:

```python
from algorithmx import jupyter_canvas

canvas = jupyter_canvas()

canvas.nodes([1, 2]).add()
canvas.edge((1, 2)).add()

canvas
```

## Development

### Manual install

Make sure you have Python 3.7 of higher, then run

```
# build js
cd js
npm run build
cd ..

# install dependencies
python -m pip install -r dev-requirements.txt
python -m pip install --no-deps --editable ".[jupyter,networkx]"
```

### HTTP Server

Docker: `Docker-compose up http-server`
Manually: `python examples/basic_http_server.py`

Then open `localhost:5050` in a browser.

### Jupyter notebook

Docker: `docker-compose up notebook`
Manually:
```
python -m jupyter nbextenion list
python -m jupyter notebook
```

Then try opening `examples/basic_notebook.ipynb`.

### Jupyter lab

Docker: `docker-compose up jupyter-lab`
Manually:
```
python -m jupyter labextension install @jupyter-widgets/jupyterlab-manager --no-build
python -m jupyter lab build
python -m jupyter labextension list
python -m jupyter lab
```

Then try opening `examples/basic_notebook.ipynb`.

### Build and test package

Clean any previous builds with `rm -rf build dist`.

Docker: `docker-compose up --build build`
Manually:
```
python -m mypy .
python -m pytest tests -vv
python setup.py build sdist bdist_wheel
```

The bundle can be found in `dist/`.

### Distribute

- Set up pre-commit hooks: `pre-commit install`
- Publish to PyPI: `./scripts/deploy.sh`




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

![build](https://github.com/algrx/algorithmx-python/workflows/build/badge.svg)
[![PyPI version](https://badge.fury.io/py/algorithmx.svg)](https://pypi.org/project/algorithmx)

<img src="https://raw.githubusercontent.com/algrx/algorithmx/master/img/logo.svg?sanitize=true" align="left" hspace="10" width="80px">

**AlgorithmX Python** is a library for network visualization and algorithm simulation, built on <a
href="https://github.com/algrx/algorithmx">AlgorithmX</a>. It can be used through a HTTP/WebSocket
server, or as a widget in Jupyter Notebooks and JupyterLab.
<br><br>

<img src="https://raw.githubusercontent.com/algrx/algorithmx/master/img/example.svg?sanitize=true" align="center" width="600px">

## Resources

- <a href="https://algrx.github.io/">Website</a>
- <a href="https://algrx.github.io/docs/python/">Documentation</a>

## Installation

Python 3.7.0 or higher is required. Using pip:

```
python -m pip install algorithmx
```

### Jupyter Widget

In classic Jupyter notebooks, the widget will typically be enabled by default. To enable it
manually, run

```
jupyter nbextension enable --sys-prefix --py algorithmx
```

with the <a href="https://jupyter-notebook.readthedocs.io/en/stable/extending/frontend_extensions.html#installing-and-enabling-extensions">appropriate flag</a>. To enable in JupyterLab, run

```
python -m jupyter labextension install @jupyter-widgets/jupyterlab-manager --no-build
python -m jupyter lab build
```

## Example Usage

If you wish to use the library through a HTTP/WebSocket server, follow the template below:

```python
import algorithmx

server = algorithmx.http_server(port=5050)
canvas = server.canvas()

def start():
    canvas.nodes([1, 2]).add()
    canvas.edge((1, 2)).add()

canvas.onmessage('start', start)
server.start()
```

The graphics can be found at `http://localhost:5050/`.

If you are using Jupyter, try adding the following code to a cell:

```python
from algorithmx import jupyter_canvas

canvas = jupyter_canvas()

canvas.nodes([1, 2]).add()
canvas.edge((1, 2)).add()

canvas
```

## Development

### Manual install

Make sure you have Python 3.7 of higher, then run

```
# build js
cd js
npm run build
cd ..

# install dependencies
python -m pip install -r dev-requirements.txt
python -m pip install --no-deps --editable ".[jupyter,networkx]"
```

### HTTP Server

Docker: `Docker-compose up http-server`
Manually: `python examples/basic_http_server.py`

Then open `localhost:5050` in a browser.

### Jupyter notebook

Docker: `docker-compose up notebook`
Manually:
```
python -m jupyter nbextenion list
python -m jupyter notebook
```

Then try opening `examples/basic_notebook.ipynb`.

### Jupyter lab

Docker: `docker-compose up jupyter-lab`
Manually:
```
python -m jupyter labextension install @jupyter-widgets/jupyterlab-manager --no-build
python -m jupyter lab build
python -m jupyter labextension list
python -m jupyter lab
```

Then try opening `examples/basic_notebook.ipynb`.

### Build and test package

Clean any previous builds with `rm -rf build dist`.

Docker: `docker-compose up --build build`
Manually:
```
python -m mypy .
python -m pytest tests -vv
python setup.py build sdist bdist_wheel
```

The bundle can be found in `dist/`.

### Distribute

- Set up pre-commit hooks: `pre-commit install`
- Publish to PyPI: `./scripts/deploy.sh`




%prep
%autosetup -n algorithmx-2.0.3

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

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

%changelog
* Fri Jun 09 2023 Python_Bot <Python_Bot@openeuler.org> - 2.0.3-1
- Package Spec generated