v0.4.0 v2

INSTALL.md

@@ -11,29 +11,6 @@ Conda will install `GCG`, `SCIP` and `PySCIPOpt` automatically, hence everything
 conda install --channel conda-forge pygcgopt
 ```
 
-## Requirements
-
-PyGCGOpt requires a working installation of the [SCIPOptSuite](https://scipopt.org) and the [GCG Solver](https://gcg.or.rwth-aachen.de/) which is usually included in the release. In addition, the Python interface for SCIP, [PySCIPOpt](https://github.com/scipopt/PySCIPOpt), has to be installed. Currently, GCG only runs on Linux and macOS, therefore you can use PyGCGOpt only on these operating systems.
-
-Note that the latest PyGCGOpt version is usually only compatible with the latest major release of the SCIP Optimization Suite. PyGCGOpt requires at least SCIP 8.0 and GCG 3.5. The following table summarizes which versions of PyGCGOpt, GCG, PySCIPOpt, and SCIP are compatible:
-
-|SCIP| PySCIPOpt | GCG | PyGCGOpt
-|----|----|----|----|
-9.0 | 5.0.0 | 3.6.0 | 0.4.0 |
-8.1 | 4.4 | 3.5.5 | 0.3.0 |
-8.0 | 4.0 | 3.5.0 | 0.1.0 |
-7.0 | 3.x | - | - |
-6.0 | 2.x | - | - |
-5.0 | 1.4, 1.3 | - | - |
-4.0 | 1.2, 1.1 | - | - |
-3.2 | 1.0 | - | - |
-
-We recommend installing PyGCGOpt and its Python dependencies in a [Python virtual environment](https://docs.python.org/3/tutorial/venv.html). In short, you can create a virtual environment and activate it with the following commands on Linux, macOS and Windows:
-```
-python3.9 -m venv venv
-source venv/bin/activate
-```
-
 ## Installing PyGCGOpt from PyPI
 
 Simply run the following to install PyGCGOpt (and its requirement PySCIPOpt) with `pip`:

src/pygcgopt/__init__.py

@@ -1,4 +1,4 @@
-__version__ = '0.4.0b0'
+__version__ = '0.4.0'
 
 # required for Python 3.8 on Windows
 import os