%global _empty_manifest_terminate_build 0 Name: python-2ppy Version: 0.4.0 Release: 1 Summary: Python-based implementation of tuProlog -- the open ecosystem for symbolic AI --, based on 2P-Kt License: Apache 2.0 License URL: https://github.com/tuProlog/2ppy Source0: https://mirrors.nju.edu.cn/pypi/web/packages/02/9d/eb6fc52e24599cb44da3840acc68eef59a2c88a1658b81014f11866986ab/2ppy-0.4.0.tar.gz BuildArch: noarch Requires: python3-JPype1 %description # 2PPy (tuProlog in Python) Experimental porting of [2P-Kt](https://github.com/tuProlog/2p-kt) on Python, via [JPype](https://jpype.readthedocs.io). > This is a __work in progress__. 2PPy is not ready for general availability, yet. ## Introduction Object-oriented and modular ecosystem for symbolic AI and logic programming, currently featuring: * a module for logic terms and clauses representation, namely `tuprolog.core`, * a module for logic unification, namely `tuprolog.unify`, * a module for in-memory indexing and storing logic theories, as well as other sorts of collections of logic clauses, namely `tuprolog.theory`, * a module providing generic API for resolution of logic queries, namely `tuprolog.solve`, currently implementing a Prolog solver * two parsing modules: one aimed at parsing terms, namely `tuprolog.core.parsing`, and the other aimed at parsing theories, namely `tuprolog.theory.parsing`, * two serialisation-related modules: one aimed at (de)serialising terms and clauses, namely `tuprolog.core.serialize`, and the other aimed at (de)serialising terms theories, namely `tuprolog.theory.serialize`, * a module for using Prolog via a command-line interface, namely `tuprolog.repl`. ## How to do stuff ### Prerequisites 1. Install Python 3 (look into the `.python-version` to know the exact version) * I suggest using [Pyenv](https://github.com/pyenv/pyenv) to easily handle multiple Python versions on the same machine * Ensure PIP works fine 2. Install Java (JDK preferred), and **ensure the `JAVA_HOME` variable is correctly set** 3. Ensure Java and Python are both either 64bit or 32bit 4. If you have installed some prior development version of 2PPy (e.g. `tuppy` or `tuprolog`), uninstall them via ```bash pip uninstall tuppy tuprolog ``` On __Mac OS__ this may not work as expected. Consider running the following command instead: ```bash python3 -m pip uninstall tuppy tuprolog ``` ### How to develop 2PPy 5. Restore Python dependencies via PIP, by running: ```bash pip install -r requirements.txt ``` On __Mac OS__ this may not work as expected. Consider running the following command instead: ```bash python3 -m pip -r requirements.txt ``` 6. Restore JVM dependencies via `download-jars.sh`, by running: ```bash ./download-jars.sh ``` Notice that this command requires `curl` and `wget` to be installed on your system (`wget` may be lacking on __Mac OS__ and Windows) ### How to use 2PPy as a library 5. Install 2PPy from Pypi by running: ```bash pip install 2ppy ``` On __Mac OS__ this may not work as expected. Consider running the following command instead: ```bash python3 -m pip install 2ppy ``` 6. Import `tuprolog.*` modules in your Python scripts 7. Profit ### How to use 2PPy as an executable 5. Install 2PPy from Pypi by running: ```bash pip install 2ppy ``` On __Mac OS__ this may not work as expected. Consider running the following command instead: ```bash python3 -m pip install 2ppy ``` 6. Run `tuprolog` module via ```bash python -m tuprolog ``` For the moment, running 2PPy means starting an interactive Python shell with pre-loaded `tuprolog.*` modules. Eventually `python -m tuprolog` will launch a command-line logic solver. %package -n python3-2ppy Summary: Python-based implementation of tuProlog -- the open ecosystem for symbolic AI --, based on 2P-Kt Provides: python-2ppy BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-2ppy # 2PPy (tuProlog in Python) Experimental porting of [2P-Kt](https://github.com/tuProlog/2p-kt) on Python, via [JPype](https://jpype.readthedocs.io). > This is a __work in progress__. 2PPy is not ready for general availability, yet. ## Introduction Object-oriented and modular ecosystem for symbolic AI and logic programming, currently featuring: * a module for logic terms and clauses representation, namely `tuprolog.core`, * a module for logic unification, namely `tuprolog.unify`, * a module for in-memory indexing and storing logic theories, as well as other sorts of collections of logic clauses, namely `tuprolog.theory`, * a module providing generic API for resolution of logic queries, namely `tuprolog.solve`, currently implementing a Prolog solver * two parsing modules: one aimed at parsing terms, namely `tuprolog.core.parsing`, and the other aimed at parsing theories, namely `tuprolog.theory.parsing`, * two serialisation-related modules: one aimed at (de)serialising terms and clauses, namely `tuprolog.core.serialize`, and the other aimed at (de)serialising terms theories, namely `tuprolog.theory.serialize`, * a module for using Prolog via a command-line interface, namely `tuprolog.repl`. ## How to do stuff ### Prerequisites 1. Install Python 3 (look into the `.python-version` to know the exact version) * I suggest using [Pyenv](https://github.com/pyenv/pyenv) to easily handle multiple Python versions on the same machine * Ensure PIP works fine 2. Install Java (JDK preferred), and **ensure the `JAVA_HOME` variable is correctly set** 3. Ensure Java and Python are both either 64bit or 32bit 4. If you have installed some prior development version of 2PPy (e.g. `tuppy` or `tuprolog`), uninstall them via ```bash pip uninstall tuppy tuprolog ``` On __Mac OS__ this may not work as expected. Consider running the following command instead: ```bash python3 -m pip uninstall tuppy tuprolog ``` ### How to develop 2PPy 5. Restore Python dependencies via PIP, by running: ```bash pip install -r requirements.txt ``` On __Mac OS__ this may not work as expected. Consider running the following command instead: ```bash python3 -m pip -r requirements.txt ``` 6. Restore JVM dependencies via `download-jars.sh`, by running: ```bash ./download-jars.sh ``` Notice that this command requires `curl` and `wget` to be installed on your system (`wget` may be lacking on __Mac OS__ and Windows) ### How to use 2PPy as a library 5. Install 2PPy from Pypi by running: ```bash pip install 2ppy ``` On __Mac OS__ this may not work as expected. Consider running the following command instead: ```bash python3 -m pip install 2ppy ``` 6. Import `tuprolog.*` modules in your Python scripts 7. Profit ### How to use 2PPy as an executable 5. Install 2PPy from Pypi by running: ```bash pip install 2ppy ``` On __Mac OS__ this may not work as expected. Consider running the following command instead: ```bash python3 -m pip install 2ppy ``` 6. Run `tuprolog` module via ```bash python -m tuprolog ``` For the moment, running 2PPy means starting an interactive Python shell with pre-loaded `tuprolog.*` modules. Eventually `python -m tuprolog` will launch a command-line logic solver. %package help Summary: Development documents and examples for 2ppy Provides: python3-2ppy-doc %description help # 2PPy (tuProlog in Python) Experimental porting of [2P-Kt](https://github.com/tuProlog/2p-kt) on Python, via [JPype](https://jpype.readthedocs.io). > This is a __work in progress__. 2PPy is not ready for general availability, yet. ## Introduction Object-oriented and modular ecosystem for symbolic AI and logic programming, currently featuring: * a module for logic terms and clauses representation, namely `tuprolog.core`, * a module for logic unification, namely `tuprolog.unify`, * a module for in-memory indexing and storing logic theories, as well as other sorts of collections of logic clauses, namely `tuprolog.theory`, * a module providing generic API for resolution of logic queries, namely `tuprolog.solve`, currently implementing a Prolog solver * two parsing modules: one aimed at parsing terms, namely `tuprolog.core.parsing`, and the other aimed at parsing theories, namely `tuprolog.theory.parsing`, * two serialisation-related modules: one aimed at (de)serialising terms and clauses, namely `tuprolog.core.serialize`, and the other aimed at (de)serialising terms theories, namely `tuprolog.theory.serialize`, * a module for using Prolog via a command-line interface, namely `tuprolog.repl`. ## How to do stuff ### Prerequisites 1. Install Python 3 (look into the `.python-version` to know the exact version) * I suggest using [Pyenv](https://github.com/pyenv/pyenv) to easily handle multiple Python versions on the same machine * Ensure PIP works fine 2. Install Java (JDK preferred), and **ensure the `JAVA_HOME` variable is correctly set** 3. Ensure Java and Python are both either 64bit or 32bit 4. If you have installed some prior development version of 2PPy (e.g. `tuppy` or `tuprolog`), uninstall them via ```bash pip uninstall tuppy tuprolog ``` On __Mac OS__ this may not work as expected. Consider running the following command instead: ```bash python3 -m pip uninstall tuppy tuprolog ``` ### How to develop 2PPy 5. Restore Python dependencies via PIP, by running: ```bash pip install -r requirements.txt ``` On __Mac OS__ this may not work as expected. Consider running the following command instead: ```bash python3 -m pip -r requirements.txt ``` 6. Restore JVM dependencies via `download-jars.sh`, by running: ```bash ./download-jars.sh ``` Notice that this command requires `curl` and `wget` to be installed on your system (`wget` may be lacking on __Mac OS__ and Windows) ### How to use 2PPy as a library 5. Install 2PPy from Pypi by running: ```bash pip install 2ppy ``` On __Mac OS__ this may not work as expected. Consider running the following command instead: ```bash python3 -m pip install 2ppy ``` 6. Import `tuprolog.*` modules in your Python scripts 7. Profit ### How to use 2PPy as an executable 5. Install 2PPy from Pypi by running: ```bash pip install 2ppy ``` On __Mac OS__ this may not work as expected. Consider running the following command instead: ```bash python3 -m pip install 2ppy ``` 6. Run `tuprolog` module via ```bash python -m tuprolog ``` For the moment, running 2PPy means starting an interactive Python shell with pre-loaded `tuprolog.*` modules. Eventually `python -m tuprolog` will launch a command-line logic solver. %prep %autosetup -n 2ppy-0.4.0 %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 python3-2ppy -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri May 05 2023 Python_Bot - 0.4.0-1 - Package Spec generated