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|
%global _empty_manifest_terminate_build 0
Name: python-PW-explorer
Version: 0.0.25
Release: 1
Summary: An Extensible Possible World Explorer for Answer Set Programming
License: Apache Software License
URL: https://github.com/idaks/PW-explorer
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/e2/08/bcbaa524e76c7613bd4d2908faebe9d7a9f6dd9d25763491ee896ed18042/PW_explorer-0.0.25.tar.gz
BuildArch: noarch
Requires: python3-antlr4-python3-runtime
Requires: python3-decorator
Requires: python3-future
Requires: python3-matplotlib
Requires: python3-networkx
Requires: python3-numpy
Requires: python3-nxpd
Requires: python3-pandas
Requires: python3-pyparsing
Requires: python3-scikit-learn
Requires: python3-scipy
Requires: python3-seaborn
Requires: python3-sklearn
Requires: python3-subprocess32
%description
# An Extensible Possible Worlds Explorer for Answer Set Programming
### To get started (using Conda) -- recommended
1. ```conda create -n your-pwe-env-name```
2. Activate the environment created above using
```conda activate your-pwe-env-name``` or ```source activate your-pwe-env-name``` (depending on the version of conda).
3. Install DLV from [here](http://www.dlvsystem.com/dlv/#1) and ensure it is available in the path.
4. ```conda install -c potassco clingo ```
5. ```conda install -c anaconda graphviz```
6. ```conda install -c anaconda pygraphviz```
7. ```pip install PW_explorer```
(To use PWE in Jupyter Notebooks, install Jupyter)
8. ```conda install -c anaconda jupyter```
9. Install [PWE-NB-Extension](https://github.com/idaks/PWE-NB-Extension) to activate Notebook-specific functionality like in-line editing, etc. using:
```pip install PWE_NB_Extension```
Load the extension in the notebook using ```%load_ext PWE_NB_Extension```
### Alternatively, to get started (using venv):
1. Install clingo. PW_explorer has been tested with clingo version: 5.2.1
2. Install DLV.
3. Make sure the packages graphviz>=0.8.2 and pygraphviz>=1.5 are installed. These are required to be able to use the visualization functionality. You can find instructions to install pygraphviz [here](http://pygraphviz.github.io/documentation/pygraphviz-1.3.1/install.html).
These commands usually work as well:
a. ```apt-get install python-dev graphviz libgraphviz-dev pkg-config``` OR ```brew install graphviz```
b. ```pip3 install pygraphviz```
(Might need to run them using sudo)
[StackOverflow Reference](https://stackoverflow.com/questions/40528048/pip-install-pygraphviz-no-package-libcgraph-found)
4. ```python3 -m venv /path/to/new/virtual/environment```
5. ```source /path/to/new/virtual/environment/bin/activate```
6. ```python3 -m pip install PW_explorer```
To deactivate the virtualenv after you're done working:
7. ```deactivate```
Repeat Step 5 to resume work and Step 7 to exit the virtualenv again.
#### Launch a ASP+PWE friendly computing environment on Binder
[](https://mybinder.org/v2/gh/idaks/PW-explorer/master)
### General System Architecture:
#### PWE Demos available [here](https://github.com/idaks/PWE-demos)
%package -n python3-PW-explorer
Summary: An Extensible Possible World Explorer for Answer Set Programming
Provides: python-PW-explorer
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-PW-explorer
# An Extensible Possible Worlds Explorer for Answer Set Programming
### To get started (using Conda) -- recommended
1. ```conda create -n your-pwe-env-name```
2. Activate the environment created above using
```conda activate your-pwe-env-name``` or ```source activate your-pwe-env-name``` (depending on the version of conda).
3. Install DLV from [here](http://www.dlvsystem.com/dlv/#1) and ensure it is available in the path.
4. ```conda install -c potassco clingo ```
5. ```conda install -c anaconda graphviz```
6. ```conda install -c anaconda pygraphviz```
7. ```pip install PW_explorer```
(To use PWE in Jupyter Notebooks, install Jupyter)
8. ```conda install -c anaconda jupyter```
9. Install [PWE-NB-Extension](https://github.com/idaks/PWE-NB-Extension) to activate Notebook-specific functionality like in-line editing, etc. using:
```pip install PWE_NB_Extension```
Load the extension in the notebook using ```%load_ext PWE_NB_Extension```
### Alternatively, to get started (using venv):
1. Install clingo. PW_explorer has been tested with clingo version: 5.2.1
2. Install DLV.
3. Make sure the packages graphviz>=0.8.2 and pygraphviz>=1.5 are installed. These are required to be able to use the visualization functionality. You can find instructions to install pygraphviz [here](http://pygraphviz.github.io/documentation/pygraphviz-1.3.1/install.html).
These commands usually work as well:
a. ```apt-get install python-dev graphviz libgraphviz-dev pkg-config``` OR ```brew install graphviz```
b. ```pip3 install pygraphviz```
(Might need to run them using sudo)
[StackOverflow Reference](https://stackoverflow.com/questions/40528048/pip-install-pygraphviz-no-package-libcgraph-found)
4. ```python3 -m venv /path/to/new/virtual/environment```
5. ```source /path/to/new/virtual/environment/bin/activate```
6. ```python3 -m pip install PW_explorer```
To deactivate the virtualenv after you're done working:
7. ```deactivate```
Repeat Step 5 to resume work and Step 7 to exit the virtualenv again.
#### Launch a ASP+PWE friendly computing environment on Binder
[](https://mybinder.org/v2/gh/idaks/PW-explorer/master)
### General System Architecture:
#### PWE Demos available [here](https://github.com/idaks/PWE-demos)
%package help
Summary: Development documents and examples for PW-explorer
Provides: python3-PW-explorer-doc
%description help
# An Extensible Possible Worlds Explorer for Answer Set Programming
### To get started (using Conda) -- recommended
1. ```conda create -n your-pwe-env-name```
2. Activate the environment created above using
```conda activate your-pwe-env-name``` or ```source activate your-pwe-env-name``` (depending on the version of conda).
3. Install DLV from [here](http://www.dlvsystem.com/dlv/#1) and ensure it is available in the path.
4. ```conda install -c potassco clingo ```
5. ```conda install -c anaconda graphviz```
6. ```conda install -c anaconda pygraphviz```
7. ```pip install PW_explorer```
(To use PWE in Jupyter Notebooks, install Jupyter)
8. ```conda install -c anaconda jupyter```
9. Install [PWE-NB-Extension](https://github.com/idaks/PWE-NB-Extension) to activate Notebook-specific functionality like in-line editing, etc. using:
```pip install PWE_NB_Extension```
Load the extension in the notebook using ```%load_ext PWE_NB_Extension```
### Alternatively, to get started (using venv):
1. Install clingo. PW_explorer has been tested with clingo version: 5.2.1
2. Install DLV.
3. Make sure the packages graphviz>=0.8.2 and pygraphviz>=1.5 are installed. These are required to be able to use the visualization functionality. You can find instructions to install pygraphviz [here](http://pygraphviz.github.io/documentation/pygraphviz-1.3.1/install.html).
These commands usually work as well:
a. ```apt-get install python-dev graphviz libgraphviz-dev pkg-config``` OR ```brew install graphviz```
b. ```pip3 install pygraphviz```
(Might need to run them using sudo)
[StackOverflow Reference](https://stackoverflow.com/questions/40528048/pip-install-pygraphviz-no-package-libcgraph-found)
4. ```python3 -m venv /path/to/new/virtual/environment```
5. ```source /path/to/new/virtual/environment/bin/activate```
6. ```python3 -m pip install PW_explorer```
To deactivate the virtualenv after you're done working:
7. ```deactivate```
Repeat Step 5 to resume work and Step 7 to exit the virtualenv again.
#### Launch a ASP+PWE friendly computing environment on Binder
[](https://mybinder.org/v2/gh/idaks/PW-explorer/master)
### General System Architecture:
#### PWE Demos available [here](https://github.com/idaks/PWE-demos)
%prep
%autosetup -n PW-explorer-0.0.25
%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-PW-explorer -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.25-1
- Package Spec generated
|
