Metadata-Version: 2.1
Name: PySoAL
Version: 0.2.6
Summary: Solver abstraction layer for power system optimization
Home-page: UNKNOWN
Author: Thomas Offergeld
Author-email: t.offergeld@iaew.rwth-aachen.de
License: UNKNOWN
Description: # PySoAL
        
        ## Solver abstraction layer for optimization problems
        
        ## Installation
        
        You can install the module...
        - from pip (``pip install py_soal``)
        
        :warning: You will need to provide an additional index url for the ``gurobipy`` package required by ``PySoAL``:
        
        ```
        pip install --extra-index-url=https://pypi.gurobi.com PySoAL
        ```
        
        ### Gurobi
        Gurobi can be installed via pip starting at version 9.1, which is compatible with Python 3.7+. It is included in the requirements-file and does not require any special installation-instructions anymore.
        
        You will need a license file. For academic use you can request an academic license from the gurobi-website or use the RWTH-ITC's floating license by configuring a license-file (``gurobi.lic`` in your home-directory, or in the root-directory of your project).
        In order to use the floating license you need to be connected to the RWTH network (either by VPN or directly).
        
        ## Usage
        
        In order to run the test cases you will need the pytest module (``pip install pytest``). If using pytest in PyCharm, you can set-up pytest as the default test runner in ``Settings > Tools > Python Integrated Tools > Testing``.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
Provides-Extra: test
