Modified for Python 3.9+ and Cython 3.0+

.github/workflows/python-publish.yml

@@ -0,0 +1,45 @@
+# This workflow will upload a Python Package using Twine when a release is created
+# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python#publishing-to-package-registries
+
+# This workflow uses actions that are not certified by GitHub.
+# They are provided by a third-party and are governed by
+# separate terms of service, privacy policy, and support
+# documentation.
+
+name: Upload Python Package
+
+on:
+  release:
+    types: [published]
+
+permissions:
+  contents: read
+
+jobs:
+  deploy:
+
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v3
+    - name: Set up Python
+      uses: docker://quay.io/pypa/manylinux2014_x86_64
+      with:
+        python-version: '3.x'
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install setuptools wheel twine auditwheel
+    - name: Build package
+      run: |
+        python3 -m pip install --upgrade build
+        python3 -m build
+    - name: Repair wheels
+      run: |
+        auditwheel repair --wheel-dir dist dist/*.whl
+        rm -rf dist/*linux_x86_64*.whl
+    - name: Publish package
+      uses: pypa/gh-action-pypi-publish@27b31702a0e7fc50959f5ad993c78deac1bdfc29
+      with:
+        user: __token__
+        password: ${{ secrets.PYPI_API_TOKEN_GITHUB }}

MANIFEST.in

@@ -1,3 +1,2 @@
-include fa2/fa2util.c
-include fa2/fa2util.pxd
+include fa2_modified/fa2util.pxd
 include examples/*

README.md

@@ -1,6 +1,11 @@
-## ForceAtlas2 for Python
+## ForceAtlas2 for Python3 (modified/maintained version)
 
-A port of Gephi's Force Atlas 2 layout algorithm to Python 2 and Python 3 (with a wrapper for NetworkX and igraph). This is the fastest python implementation available with most of the features complete. It also supports Barnes Hut approximation for maximum speedup.
+#### This is a maintained version of fa2 [python library](https://github.com/bhargavchippada/forceatlas2). The source code is same as fa2, but this repo can be installed on Python 3.9+ whereas the original fa2 only runs on Python <3.8.
+--------
+
+
+
+A port of Gephi's Force Atlas 2 layout algorithm to Python 3 (with a wrapper for NetworkX and igraph). This is the fastest python implementation available with most of the features complete. It also supports Barnes Hut approximation for maximum speedup.
 
 ForceAtlas2 is a very fast layout algorithm for force-directed graphs. It's used to spatialize a **weighted undirected** graph in 2D (Edge weight defines the strength of the connection). The implementation is based on this [paper](http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0098679) and the corresponding [gephi-java-code](https://github.com/gephi/gephi/blob/master/modules/LayoutPlugin/src/main/java/org/gephi/layout/plugin/forceAtlas2/ForceAtlas2.java). Its really quick compared to the fruchterman reingold algorithm (spring layout) of networkx and scales well to high number of nodes (>10000).
 
@@ -15,7 +20,7 @@ ForceAtlas2 is a very fast layout algorithm for force-directed graphs. It's used
 
 Install from pip:
 
-    pip install fa2
+    pip install fa2_modified
 
 To build and install run from source:
 
@@ -41,7 +46,7 @@ To build and install run from source:
 
 ## Usage
 
-from fa2 import ForceAtlas2
+from fa2_modified import ForceAtlas2
 
 Create a ForceAtlas2 object with the appropriate settings. ForceAtlas2 class contains three important methods:
 ```python
@@ -70,7 +75,7 @@ Below is an example usage. You can also see the feature settings of ForceAtlas2
 
 ```python
 import networkx as nx
-from fa2 import ForceAtlas2
+from fa2_modified import ForceAtlas2
 import matplotlib.pyplot as plt
 
 G = nx.random_geometric_graph(400, 0.2)

examples/test.py

@@ -0,0 +1,32 @@
+import networkx as nx
+from fa2_modified import ForceAtlas2
+import matplotlib.pyplot as plt
+
+G = nx.random_geometric_graph(400, 0.2)
+
+forceatlas2 = ForceAtlas2(
+                        # Behavior alternatives
+                        outboundAttractionDistribution=True,  # Dissuade hubs
+                        linLogMode=False,  # NOT IMPLEMENTED
+                        adjustSizes=False,  # Prevent overlap (NOT IMPLEMENTED)
+                        edgeWeightInfluence=1.0,
+
+                        # Performance
+                        jitterTolerance=1.0,  # Tolerance
+                        barnesHutOptimize=True,
+                        barnesHutTheta=1.2,
+                        multiThreaded=False,  # NOT IMPLEMENTED
+
+                        # Tuning
+                        scalingRatio=2.0,
+                        strongGravityMode=False,
+                        gravity=1.0,
+
+                        # Log
+                        verbose=True)
+
+positions = forceatlas2.forceatlas2_networkx_layout(G, pos=None, iterations=2000)
+nx.draw_networkx_nodes(G, positions, node_size=20, node_color="blue", alpha=0.4)
+nx.draw_networkx_edges(G, positions, edge_color="green", alpha=0.05)
+plt.axis('off')
+plt.show()