using for loop to install conda package

.CondaPkg/env/Lib/site-packages/networkx/tests/test_convert.py

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+import pytest
+
+import networkx as nx
+from networkx.convert import (
+    from_dict_of_dicts,
+    from_dict_of_lists,
+    to_dict_of_dicts,
+    to_dict_of_lists,
+    to_networkx_graph,
+)
+from networkx.generators.classic import barbell_graph, cycle_graph
+from networkx.utils import edges_equal, graphs_equal, nodes_equal
+
+
+class TestConvert:
+    def edgelists_equal(self, e1, e2):
+        return sorted(sorted(e) for e in e1) == sorted(sorted(e) for e in e2)
+
+    def test_simple_graphs(self):
+        for dest, source in [
+            (to_dict_of_dicts, from_dict_of_dicts),
+            (to_dict_of_lists, from_dict_of_lists),
+        ]:
+            G = barbell_graph(10, 3)
+            G.graph = {}
+            dod = dest(G)
+
+            # Dict of [dicts, lists]
+            GG = source(dod)
+            assert graphs_equal(G, GG)
+            GW = to_networkx_graph(dod)
+            assert graphs_equal(G, GW)
+            GI = nx.Graph(dod)
+            assert graphs_equal(G, GI)
+
+            # With nodelist keyword
+            P4 = nx.path_graph(4)
+            P3 = nx.path_graph(3)
+            P4.graph = {}
+            P3.graph = {}
+            dod = dest(P4, nodelist=[0, 1, 2])
+            Gdod = nx.Graph(dod)
+            assert graphs_equal(Gdod, P3)
+
+    def test_exceptions(self):
+        # NX graph
+        class G:
+            adj = None
+
+        pytest.raises(nx.NetworkXError, to_networkx_graph, G)
+
+        # pygraphviz  agraph
+        class G:
+            is_strict = None
+
+        pytest.raises(nx.NetworkXError, to_networkx_graph, G)
+
+        # Dict of [dicts, lists]
+        G = {"a": 0}
+        pytest.raises(TypeError, to_networkx_graph, G)
+
+        # list or generator of edges
+        class G:
+            next = None
+
+        pytest.raises(nx.NetworkXError, to_networkx_graph, G)
+
+        # no match
+        pytest.raises(nx.NetworkXError, to_networkx_graph, "a")
+
+    def test_digraphs(self):
+        for dest, source in [
+            (to_dict_of_dicts, from_dict_of_dicts),
+            (to_dict_of_lists, from_dict_of_lists),
+        ]:
+            G = cycle_graph(10)
+
+            # Dict of [dicts, lists]
+            dod = dest(G)
+            GG = source(dod)
+            assert nodes_equal(sorted(G.nodes()), sorted(GG.nodes()))
+            assert edges_equal(sorted(G.edges()), sorted(GG.edges()))
+            GW = to_networkx_graph(dod)
+            assert nodes_equal(sorted(G.nodes()), sorted(GW.nodes()))
+            assert edges_equal(sorted(G.edges()), sorted(GW.edges()))
+            GI = nx.Graph(dod)
+            assert nodes_equal(sorted(G.nodes()), sorted(GI.nodes()))
+            assert edges_equal(sorted(G.edges()), sorted(GI.edges()))
+
+            G = cycle_graph(10, create_using=nx.DiGraph)
+            dod = dest(G)
+            GG = source(dod, create_using=nx.DiGraph)
+            assert sorted(G.nodes()) == sorted(GG.nodes())
+            assert sorted(G.edges()) == sorted(GG.edges())
+            GW = to_networkx_graph(dod, create_using=nx.DiGraph)
+            assert sorted(G.nodes()) == sorted(GW.nodes())
+            assert sorted(G.edges()) == sorted(GW.edges())
+            GI = nx.DiGraph(dod)
+            assert sorted(G.nodes()) == sorted(GI.nodes())
+            assert sorted(G.edges()) == sorted(GI.edges())
+
+    def test_graph(self):
+        g = nx.cycle_graph(10)
+        G = nx.Graph()
+        G.add_nodes_from(g)
+        G.add_weighted_edges_from((u, v, u) for u, v in g.edges())
+
+        # Dict of dicts
+        dod = to_dict_of_dicts(G)
+        GG = from_dict_of_dicts(dod, create_using=nx.Graph)
+        assert nodes_equal(sorted(G.nodes()), sorted(GG.nodes()))
+        assert edges_equal(sorted(G.edges()), sorted(GG.edges()))
+        GW = to_networkx_graph(dod, create_using=nx.Graph)
+        assert nodes_equal(sorted(G.nodes()), sorted(GW.nodes()))
+        assert edges_equal(sorted(G.edges()), sorted(GW.edges()))
+        GI = nx.Graph(dod)
+        assert sorted(G.nodes()) == sorted(GI.nodes())
+        assert sorted(G.edges()) == sorted(GI.edges())
+
+        # Dict of lists
+        dol = to_dict_of_lists(G)
+        GG = from_dict_of_lists(dol, create_using=nx.Graph)
+        # dict of lists throws away edge data so set it to none
+        enone = [(u, v, {}) for (u, v, d) in G.edges(data=True)]
+        assert nodes_equal(sorted(G.nodes()), sorted(GG.nodes()))
+        assert edges_equal(enone, sorted(GG.edges(data=True)))
+        GW = to_networkx_graph(dol, create_using=nx.Graph)
+        assert nodes_equal(sorted(G.nodes()), sorted(GW.nodes()))
+        assert edges_equal(enone, sorted(GW.edges(data=True)))
+        GI = nx.Graph(dol)
+        assert nodes_equal(sorted(G.nodes()), sorted(GI.nodes()))
+        assert edges_equal(enone, sorted(GI.edges(data=True)))
+
+    def test_with_multiedges_self_loops(self):
+        G = cycle_graph(10)
+        XG = nx.Graph()
+        XG.add_nodes_from(G)
+        XG.add_weighted_edges_from((u, v, u) for u, v in G.edges())
+        XGM = nx.MultiGraph()
+        XGM.add_nodes_from(G)
+        XGM.add_weighted_edges_from((u, v, u) for u, v in G.edges())
+        XGM.add_edge(0, 1, weight=2)  # multiedge
+        XGS = nx.Graph()
+        XGS.add_nodes_from(G)
+        XGS.add_weighted_edges_from((u, v, u) for u, v in G.edges())
+        XGS.add_edge(0, 0, weight=100)  # self loop
+
+        # Dict of dicts
+        # with self loops, OK
+        dod = to_dict_of_dicts(XGS)
+        GG = from_dict_of_dicts(dod, create_using=nx.Graph)
+        assert nodes_equal(XGS.nodes(), GG.nodes())
+        assert edges_equal(XGS.edges(), GG.edges())
+        GW = to_networkx_graph(dod, create_using=nx.Graph)
+        assert nodes_equal(XGS.nodes(), GW.nodes())
+        assert edges_equal(XGS.edges(), GW.edges())
+        GI = nx.Graph(dod)
+        assert nodes_equal(XGS.nodes(), GI.nodes())
+        assert edges_equal(XGS.edges(), GI.edges())
+
+        # Dict of lists
+        # with self loops, OK
+        dol = to_dict_of_lists(XGS)
+        GG = from_dict_of_lists(dol, create_using=nx.Graph)
+        # dict of lists throws away edge data so set it to none
+        enone = [(u, v, {}) for (u, v, d) in XGS.edges(data=True)]
+        assert nodes_equal(sorted(XGS.nodes()), sorted(GG.nodes()))
+        assert edges_equal(enone, sorted(GG.edges(data=True)))
+        GW = to_networkx_graph(dol, create_using=nx.Graph)
+        assert nodes_equal(sorted(XGS.nodes()), sorted(GW.nodes()))
+        assert edges_equal(enone, sorted(GW.edges(data=True)))
+        GI = nx.Graph(dol)
+        assert nodes_equal(sorted(XGS.nodes()), sorted(GI.nodes()))
+        assert edges_equal(enone, sorted(GI.edges(data=True)))
+
+        # Dict of dicts
+        # with multiedges, OK
+        dod = to_dict_of_dicts(XGM)
+        GG = from_dict_of_dicts(dod, create_using=nx.MultiGraph, multigraph_input=True)
+        assert nodes_equal(sorted(XGM.nodes()), sorted(GG.nodes()))
+        assert edges_equal(sorted(XGM.edges()), sorted(GG.edges()))
+        GW = to_networkx_graph(dod, create_using=nx.MultiGraph, multigraph_input=True)
+        assert nodes_equal(sorted(XGM.nodes()), sorted(GW.nodes()))
+        assert edges_equal(sorted(XGM.edges()), sorted(GW.edges()))
+        GI = nx.MultiGraph(dod)
+        assert nodes_equal(sorted(XGM.nodes()), sorted(GI.nodes()))
+        assert sorted(XGM.edges()) == sorted(GI.edges())
+        GE = from_dict_of_dicts(dod, create_using=nx.MultiGraph, multigraph_input=False)
+        assert nodes_equal(sorted(XGM.nodes()), sorted(GE.nodes()))
+        assert sorted(XGM.edges()) != sorted(GE.edges())
+        GI = nx.MultiGraph(XGM)
+        assert nodes_equal(sorted(XGM.nodes()), sorted(GI.nodes()))
+        assert edges_equal(sorted(XGM.edges()), sorted(GI.edges()))
+        GM = nx.MultiGraph(G)
+        assert nodes_equal(sorted(GM.nodes()), sorted(G.nodes()))
+        assert edges_equal(sorted(GM.edges()), sorted(G.edges()))
+
+        # Dict of lists
+        # with multiedges, OK, but better write as DiGraph else you'll
+        # get double edges
+        dol = to_dict_of_lists(G)
+        GG = from_dict_of_lists(dol, create_using=nx.MultiGraph)
+        assert nodes_equal(sorted(G.nodes()), sorted(GG.nodes()))
+        assert edges_equal(sorted(G.edges()), sorted(GG.edges()))
+        GW = to_networkx_graph(dol, create_using=nx.MultiGraph)
+        assert nodes_equal(sorted(G.nodes()), sorted(GW.nodes()))
+        assert edges_equal(sorted(G.edges()), sorted(GW.edges()))
+        GI = nx.MultiGraph(dol)
+        assert nodes_equal(sorted(G.nodes()), sorted(GI.nodes()))
+        assert edges_equal(sorted(G.edges()), sorted(GI.edges()))
+
+    def test_edgelists(self):
+        P = nx.path_graph(4)
+        e = [(0, 1), (1, 2), (2, 3)]
+        G = nx.Graph(e)
+        assert nodes_equal(sorted(G.nodes()), sorted(P.nodes()))
+        assert edges_equal(sorted(G.edges()), sorted(P.edges()))
+        assert edges_equal(sorted(G.edges(data=True)), sorted(P.edges(data=True)))
+
+        e = [(0, 1, {}), (1, 2, {}), (2, 3, {})]
+        G = nx.Graph(e)
+        assert nodes_equal(sorted(G.nodes()), sorted(P.nodes()))
+        assert edges_equal(sorted(G.edges()), sorted(P.edges()))
+        assert edges_equal(sorted(G.edges(data=True)), sorted(P.edges(data=True)))
+
+        e = ((n, n + 1) for n in range(3))
+        G = nx.Graph(e)
+        assert nodes_equal(sorted(G.nodes()), sorted(P.nodes()))
+        assert edges_equal(sorted(G.edges()), sorted(P.edges()))
+        assert edges_equal(sorted(G.edges(data=True)), sorted(P.edges(data=True)))
+
+    def test_directed_to_undirected(self):
+        edges1 = [(0, 1), (1, 2), (2, 0)]
+        edges2 = [(0, 1), (1, 2), (0, 2)]
+        assert self.edgelists_equal(nx.Graph(nx.DiGraph(edges1)).edges(), edges1)
+        assert self.edgelists_equal(nx.Graph(nx.DiGraph(edges2)).edges(), edges1)
+        assert self.edgelists_equal(nx.MultiGraph(nx.DiGraph(edges1)).edges(), edges1)
+        assert self.edgelists_equal(nx.MultiGraph(nx.DiGraph(edges2)).edges(), edges1)
+
+        assert self.edgelists_equal(
+            nx.MultiGraph(nx.MultiDiGraph(edges1)).edges(), edges1
+        )
+        assert self.edgelists_equal(
+            nx.MultiGraph(nx.MultiDiGraph(edges2)).edges(), edges1
+        )
+
+        assert self.edgelists_equal(nx.Graph(nx.MultiDiGraph(edges1)).edges(), edges1)
+        assert self.edgelists_equal(nx.Graph(nx.MultiDiGraph(edges2)).edges(), edges1)
+
+    def test_attribute_dict_integrity(self):
+        # we must not replace dict-like graph data structures with dicts
+        G = nx.Graph()
+        G.add_nodes_from("abc")
+        H = to_networkx_graph(G, create_using=nx.Graph)
+        assert list(H.nodes) == list(G.nodes)
+        H = nx.DiGraph(G)
+        assert list(H.nodes) == list(G.nodes)
+
+    def test_to_edgelist(self):
+        G = nx.Graph([(1, 1)])
+        elist = nx.to_edgelist(G, nodelist=list(G))
+        assert edges_equal(G.edges(data=True), elist)
+
+    def test_custom_node_attr_dict_safekeeping(self):
+        class custom_dict(dict):
+            pass
+
+        class Custom(nx.Graph):
+            node_attr_dict_factory = custom_dict
+
+        g = nx.Graph()
+        g.add_node(1, weight=1)
+
+        h = Custom(g)
+        assert isinstance(g._node[1], dict)
+        assert isinstance(h._node[1], custom_dict)
+
+        # this raise exception
+        # h._node.update((n, dd.copy()) for n, dd in g.nodes.items())
+        # assert isinstance(h._node[1], custom_dict)
+
+
+@pytest.mark.parametrize(
+    "edgelist",
+    (
+        # Graph with no edge data
+        [(0, 1), (1, 2)],
+        # Graph with edge data
+        [(0, 1, {"weight": 1.0}), (1, 2, {"weight": 2.0})],
+    ),
+)
+def test_to_dict_of_dicts_with_edgedata_param(edgelist):
+    G = nx.Graph()
+    G.add_edges_from(edgelist)
+    # Innermost dict value == edge_data when edge_data != None.
+    # In the case when G has edge data, it is overwritten
+    expected = {0: {1: 10}, 1: {0: 10, 2: 10}, 2: {1: 10}}
+    assert nx.to_dict_of_dicts(G, edge_data=10) == expected
+
+
+def test_to_dict_of_dicts_with_edgedata_and_nodelist():
+    G = nx.path_graph(5)
+    nodelist = [2, 3, 4]
+    expected = {2: {3: 10}, 3: {2: 10, 4: 10}, 4: {3: 10}}
+    assert nx.to_dict_of_dicts(G, nodelist=nodelist, edge_data=10) == expected
+
+
+def test_to_dict_of_dicts_with_edgedata_multigraph():
+    """Multi edge data overwritten when edge_data != None"""
+    G = nx.MultiGraph()
+    G.add_edge(0, 1, key="a")
+    G.add_edge(0, 1, key="b")
+    # Multi edge data lost when edge_data is not None
+    expected = {0: {1: 10}, 1: {0: 10}}
+    assert nx.to_dict_of_dicts(G, edge_data=10) == expected
+
+
+def test_to_networkx_graph_non_edgelist():
+    invalid_edgelist = [1, 2, 3]
+    with pytest.raises(nx.NetworkXError, match="Input is not a valid edge list"):
+        nx.to_networkx_graph(invalid_edgelist)