added parallel tests

tests/test_hello_world_parallel.py

@@ -0,0 +1,39 @@
+# Test if the simple hello world program works
+import pyreason as pr
+
+
+def test_hello_world_parallel():
+    # Modify the paths based on where you've stored the files we made above
+    graph_path = './tests/friends_graph.graphml'
+
+    # Modify pyreason settings to make verbose and to save the rule trace to a file
+    pr.settings.verbose = True     # Print info to screen
+    pr.settings.parallel_computing = True
+
+    # Load all the files into pyreason
+    pr.load_graphml(graph_path)
+    pr.add_rule(pr.Rule('popular(x) <-1 popular(y), Friends(x,y), owns(y,z), owns(x,z)', 'popular_rule'))
+    pr.add_fact(pr.Fact('popular-fact', 'Mary', 'popular', [1, 1], 0, 2))
+
+    # Run the program for two timesteps to see the diffusion take place
+    interpretation = pr.reason(timesteps=2)
+
+    # Display the changes in the interpretation for each timestep
+    dataframes = pr.filter_and_sort_nodes(interpretation, ['popular'])
+    for t, df in enumerate(dataframes):
+        print(f'TIMESTEP - {t}')
+        print(df)
+        print()
+
+    assert len(dataframes[0]) == 1, 'At t=0 there should be one popular person'
+    assert len(dataframes[1]) == 2, 'At t=0 there should be two popular people'
+    assert len(dataframes[2]) == 3, 'At t=0 there should be three popular people'
+
+    assert dataframes[0].iloc[0].component == 'Mary' and dataframes[0].iloc[0].popular == [1, 1], 'Mary should have popular bounds [1,1] for t=0 timesteps'
+    assert dataframes[1].iloc[0].component == 'Mary' and dataframes[1].iloc[0].popular == [1, 1], 'Mary should have popular bounds [1,1] for t=1 timesteps'
+    assert dataframes[2].iloc[0].component == 'Mary' and dataframes[2].iloc[0].popular == [1, 1], 'Mary should have popular bounds [1,1] for t=2 timesteps'
+
+    assert dataframes[1].iloc[1].component == 'Justin' and dataframes[1].iloc[1].popular == [1, 1], 'Justin should have popular bounds [1,1] for t=1 timesteps'
+    assert dataframes[2].iloc[2].component == 'Justin' and dataframes[2].iloc[2].popular == [1, 1], 'Justin should have popular bounds [1,1] for t=2 timesteps'
+
+    assert dataframes[2].iloc[1].component == 'John' and dataframes[2].iloc[1].popular == [1, 1], 'John should have popular bounds [1,1] for t=2 timesteps'