Metadata-Version: 2.1
Name: famapy
Version: 0.0.1
Summary: FaMaPy is a Python-based AAFM framework that takes into consideration previous AAFM tool designs and enables multi-solver and multi-metamodel support for the integration of AAFM tooling on the Python ecosystem.
Home-page: https://github.com/FaMaPy/core
Author: Víctor Ramírez de la Corte
Author-email: me@virako.es
License: UNKNOWN
Description: # core
        
        FaMaPy is a Python-based AAFM framework that takes into consideration previous AAFM tool designs and enables multi-solver and multi-metamodel support for the integration of AAFM tooling on the Python ecosystem.
        
        The main features of the framework are:
        * Easy to extend by enabling the creation of new plugins following a semi-automatic generator approach.
        * Support multiple variability models. Currently, it provides support for cardinality-based feature models. However, it is easy to integrate others such as attributed feature models
        * Support multiple solvers. Currently, it provides support for the PySAT metasolver, which enables more than ten different solvers.
        * Support multiple operations. It is developed, having in mind multi-model operations such as those depicted by Familiar  and single-model operations.
        
        
        ## Install development
        
        Create virtualenv and install setup.py:
        
        ```
        python3 -m venv env .
        source env/bin/activate
        pip install -e .  # Install package in development mode
        ```
        
        IMPORTANT NOTE: this repository not work without metamodels, you need to install some metamodels
        
        
        ## Execute tests
        
        After you install the module, you can execute:
        
        
        ```
        pytest
        ```
        
        
        ## Install metamodels
        
        There is at the moment two separate metamodels repository:
        
        ```
        git clone git@github.com:diverso-lab/fm_metamodel.git
        git clone git@github.com:diverso-lab/pysat_metamodel.git
        ```
        
        You can install it inside the same virtualenv environment with:
        
        ```
        pip install -e .
        ```
        
        
        ## Review code quality and styles error
        
        ```
        prospector
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
