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+++ b/.venv/lib/python3.11/site-packages/networkx/algorithms/isomorphism/tests/test_isomorphism.py
@@ -0,0 +1,48 @@
+import pytest
+
+import networkx as nx
+from networkx.algorithms import isomorphism as iso
+
+
+class TestIsomorph:
+    @classmethod
+    def setup_class(cls):
+        cls.G1 = nx.Graph()
+        cls.G2 = nx.Graph()
+        cls.G3 = nx.Graph()
+        cls.G4 = nx.Graph()
+        cls.G5 = nx.Graph()
+        cls.G6 = nx.Graph()
+        cls.G1.add_edges_from([[1, 2], [1, 3], [1, 5], [2, 3]])
+        cls.G2.add_edges_from([[10, 20], [20, 30], [10, 30], [10, 50]])
+        cls.G3.add_edges_from([[1, 2], [1, 3], [1, 5], [2, 5]])
+        cls.G4.add_edges_from([[1, 2], [1, 3], [1, 5], [2, 4]])
+        cls.G5.add_edges_from([[1, 2], [1, 3]])
+        cls.G6.add_edges_from([[10, 20], [20, 30], [10, 30], [10, 50], [20, 50]])
+
+    def test_could_be_isomorphic(self):
+        assert iso.could_be_isomorphic(self.G1, self.G2)
+        assert iso.could_be_isomorphic(self.G1, self.G3)
+        assert not iso.could_be_isomorphic(self.G1, self.G4)
+        assert iso.could_be_isomorphic(self.G3, self.G2)
+        assert not iso.could_be_isomorphic(self.G1, self.G6)
+
+    def test_fast_could_be_isomorphic(self):
+        assert iso.fast_could_be_isomorphic(self.G3, self.G2)
+        assert not iso.fast_could_be_isomorphic(self.G3, self.G5)
+        assert not iso.fast_could_be_isomorphic(self.G1, self.G6)
+
+    def test_faster_could_be_isomorphic(self):
+        assert iso.faster_could_be_isomorphic(self.G3, self.G2)
+        assert not iso.faster_could_be_isomorphic(self.G3, self.G5)
+        assert not iso.faster_could_be_isomorphic(self.G1, self.G6)
+
+    def test_is_isomorphic(self):
+        assert iso.is_isomorphic(self.G1, self.G2)
+        assert not iso.is_isomorphic(self.G1, self.G4)
+        assert iso.is_isomorphic(self.G1.to_directed(), self.G2.to_directed())
+        assert not iso.is_isomorphic(self.G1.to_directed(), self.G4.to_directed())
+        with pytest.raises(
+            nx.NetworkXError, match="Graphs G1 and G2 are not of the same type."
+        ):
+            iso.is_isomorphic(self.G1.to_directed(), self.G1)
diff --git a/.venv/lib/python3.11/site-packages/networkx/algorithms/isomorphism/tests/test_isomorphvf2.py b/.venv/lib/python3.11/site-packages/networkx/algorithms/isomorphism/tests/test_isomorphvf2.py
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--- /dev/null
+++ b/.venv/lib/python3.11/site-packages/networkx/algorithms/isomorphism/tests/test_isomorphvf2.py
@@ -0,0 +1,410 @@
+"""
+Tests for VF2 isomorphism algorithm.
+"""
+
+import importlib.resources
+import os
+import random
+import struct
+
+import networkx as nx
+from networkx.algorithms import isomorphism as iso
+
+
+class TestWikipediaExample:
+    # Source: https://en.wikipedia.org/wiki/Graph_isomorphism
+
+    # Nodes 'a', 'b', 'c' and 'd' form a column.
+    # Nodes 'g', 'h', 'i' and 'j' form a column.
+    g1edges = [
+        ["a", "g"],
+        ["a", "h"],
+        ["a", "i"],
+        ["b", "g"],
+        ["b", "h"],
+        ["b", "j"],
+        ["c", "g"],
+        ["c", "i"],
+        ["c", "j"],
+        ["d", "h"],
+        ["d", "i"],
+        ["d", "j"],
+    ]
+
+    # Nodes 1,2,3,4 form the clockwise corners of a large square.
+    # Nodes 5,6,7,8 form the clockwise corners of a small square
+    g2edges = [
+        [1, 2],
+        [2, 3],
+        [3, 4],
+        [4, 1],
+        [5, 6],
+        [6, 7],
+        [7, 8],
+        [8, 5],
+        [1, 5],
+        [2, 6],
+        [3, 7],
+        [4, 8],
+    ]
+
+    def test_graph(self):
+        g1 = nx.Graph()
+        g2 = nx.Graph()
+        g1.add_edges_from(self.g1edges)
+        g2.add_edges_from(self.g2edges)
+        gm = iso.GraphMatcher(g1, g2)
+        assert gm.is_isomorphic()
+        # Just testing some cases
+        assert gm.subgraph_is_monomorphic()
+
+        mapping = sorted(gm.mapping.items())
+
+    # this mapping is only one of the possibilities
+    # so this test needs to be reconsidered
+    #        isomap = [('a', 1), ('b', 6), ('c', 3), ('d', 8),
+    #                  ('g', 2), ('h', 5), ('i', 4), ('j', 7)]
+    #        assert_equal(mapping, isomap)
+
+    def test_subgraph(self):
+        g1 = nx.Graph()
+        g2 = nx.Graph()
+        g1.add_edges_from(self.g1edges)
+        g2.add_edges_from(self.g2edges)
+        g3 = g2.subgraph([1, 2, 3, 4])
+        gm = iso.GraphMatcher(g1, g3)
+        assert gm.subgraph_is_isomorphic()
+
+    def test_subgraph_mono(self):
+        g1 = nx.Graph()
+        g2 = nx.Graph()
+        g1.add_edges_from(self.g1edges)
+        g2.add_edges_from([[1, 2], [2, 3], [3, 4]])
+        gm = iso.GraphMatcher(g1, g2)
+        assert gm.subgraph_is_monomorphic()
+
+
+class TestVF2GraphDB:
+    # https://web.archive.org/web/20090303210205/http://amalfi.dis.unina.it/graph/db/
+
+    @staticmethod
+    def create_graph(filename):
+        """Creates a Graph instance from the filename."""
+
+        # The file is assumed to be in the format from the VF2 graph database.
+        # Each file is composed of 16-bit numbers (unsigned short int).
+        # So we will want to read 2 bytes at a time.
+
+        # We can read the number as follows:
+        #   number = struct.unpack('<H', file.read(2))
+        # This says, expect the data in little-endian encoding
+        # as an unsigned short int and unpack 2 bytes from the file.
+
+        fh = open(filename, mode="rb")
+
+        # Grab the number of nodes.
+        # Node numeration is 0-based, so the first node has index 0.
+        nodes = struct.unpack("<H", fh.read(2))[0]
+
+        graph = nx.Graph()
+        for from_node in range(nodes):
+            # Get the number of edges.
+            edges = struct.unpack("<H", fh.read(2))[0]
+            for edge in range(edges):
+                # Get the terminal node.
+                to_node = struct.unpack("<H", fh.read(2))[0]
+                graph.add_edge(from_node, to_node)
+
+        fh.close()
+        return graph
+
+    def test_graph(self):
+        head = importlib.resources.files("networkx.algorithms.isomorphism.tests")
+        g1 = self.create_graph(head / "iso_r01_s80.A99")
+        g2 = self.create_graph(head / "iso_r01_s80.B99")
+        gm = iso.GraphMatcher(g1, g2)
+        assert gm.is_isomorphic()
+
+    def test_subgraph(self):
+        # A is the subgraph
+        # B is the full graph
+        head = importlib.resources.files("networkx.algorithms.isomorphism.tests")
+        subgraph = self.create_graph(head / "si2_b06_m200.A99")
+        graph = self.create_graph(head / "si2_b06_m200.B99")
+        gm = iso.GraphMatcher(graph, subgraph)
+        assert gm.subgraph_is_isomorphic()
+        # Just testing some cases
+        assert gm.subgraph_is_monomorphic()
+
+    # There isn't a similar test implemented for subgraph monomorphism,
+    # feel free to create one.
+
+
+class TestAtlas:
+    @classmethod
+    def setup_class(cls):
+        global atlas
+        from networkx.generators import atlas
+
+        cls.GAG = atlas.graph_atlas_g()
+
+    def test_graph_atlas(self):
+        # Atlas = nx.graph_atlas_g()[0:208] # 208, 6 nodes or less
+        Atlas = self.GAG[0:100]
+        alphabet = list(range(26))
+        for graph in Atlas:
+            nlist = list(graph)
+            labels = alphabet[: len(nlist)]
+            for s in range(10):
+                random.shuffle(labels)
+                d = dict(zip(nlist, labels))
+                relabel = nx.relabel_nodes(graph, d)
+                gm = iso.GraphMatcher(graph, relabel)
+                assert gm.is_isomorphic()
+
+
+def test_multiedge():
+    # Simple test for multigraphs
+    # Need something much more rigorous
+    edges = [
+        (0, 1),
+        (1, 2),
+        (2, 3),
+        (3, 4),
+        (4, 5),
+        (5, 6),
+        (6, 7),
+        (7, 8),
+        (8, 9),
+        (9, 10),
+        (10, 11),
+        (10, 11),
+        (11, 12),
+        (11, 12),
+        (12, 13),
+        (12, 13),
+        (13, 14),
+        (13, 14),
+        (14, 15),
+        (14, 15),
+        (15, 16),
+        (15, 16),
+        (16, 17),
+        (16, 17),
+        (17, 18),
+        (17, 18),
+        (18, 19),
+        (18, 19),
+        (19, 0),
+        (19, 0),
+    ]
+    nodes = list(range(20))
+
+    for g1 in [nx.MultiGraph(), nx.MultiDiGraph()]:
+        g1.add_edges_from(edges)
+        for _ in range(10):
+            new_nodes = list(nodes)
+            random.shuffle(new_nodes)
+            d = dict(zip(nodes, new_nodes))
+            g2 = nx.relabel_nodes(g1, d)
+            if not g1.is_directed():
+                gm = iso.GraphMatcher(g1, g2)
+            else:
+                gm = iso.DiGraphMatcher(g1, g2)
+            assert gm.is_isomorphic()
+            # Testing if monomorphism works in multigraphs
+            assert gm.subgraph_is_monomorphic()
+
+
+def test_selfloop():
+    # Simple test for graphs with selfloops
+    edges = [
+        (0, 1),
+        (0, 2),
+        (1, 2),
+        (1, 3),
+        (2, 2),
+        (2, 4),
+        (3, 1),
+        (3, 2),
+        (4, 2),
+        (4, 5),
+        (5, 4),
+    ]
+    nodes = list(range(6))
+
+    for g1 in [nx.Graph(), nx.DiGraph()]:
+        g1.add_edges_from(edges)
+        for _ in range(100):
+            new_nodes = list(nodes)
+            random.shuffle(new_nodes)
+            d = dict(zip(nodes, new_nodes))
+            g2 = nx.relabel_nodes(g1, d)
+            if not g1.is_directed():
+                gm = iso.GraphMatcher(g1, g2)
+            else:
+                gm = iso.DiGraphMatcher(g1, g2)
+            assert gm.is_isomorphic()
+
+
+def test_selfloop_mono():
+    # Simple test for graphs with selfloops
+    edges0 = [
+        (0, 1),
+        (0, 2),
+        (1, 2),
+        (1, 3),
+        (2, 4),
+        (3, 1),
+        (3, 2),
+        (4, 2),
+        (4, 5),
+        (5, 4),
+    ]
+    edges = edges0 + [(2, 2)]
+    nodes = list(range(6))
+
+    for g1 in [nx.Graph(), nx.DiGraph()]:
+        g1.add_edges_from(edges)
+        for _ in range(100):
+            new_nodes = list(nodes)
+            random.shuffle(new_nodes)
+            d = dict(zip(nodes, new_nodes))
+            g2 = nx.relabel_nodes(g1, d)
+            g2.remove_edges_from(nx.selfloop_edges(g2))
+            if not g1.is_directed():
+                gm = iso.GraphMatcher(g2, g1)
+            else:
+                gm = iso.DiGraphMatcher(g2, g1)
+            assert not gm.subgraph_is_monomorphic()
+
+
+def test_isomorphism_iter1():
+    # As described in:
+    # http://groups.google.com/group/networkx-discuss/browse_thread/thread/2ff65c67f5e3b99f/d674544ebea359bb?fwc=1
+    g1 = nx.DiGraph()
+    g2 = nx.DiGraph()
+    g3 = nx.DiGraph()
+    g1.add_edge("A", "B")
+    g1.add_edge("B", "C")
+    g2.add_edge("Y", "Z")
+    g3.add_edge("Z", "Y")
+    gm12 = iso.DiGraphMatcher(g1, g2)
+    gm13 = iso.DiGraphMatcher(g1, g3)
+    x = list(gm12.subgraph_isomorphisms_iter())
+    y = list(gm13.subgraph_isomorphisms_iter())
+    assert {"A": "Y", "B": "Z"} in x
+    assert {"B": "Y", "C": "Z"} in x
+    assert {"A": "Z", "B": "Y"} in y
+    assert {"B": "Z", "C": "Y"} in y
+    assert len(x) == len(y)
+    assert len(x) == 2
+
+
+def test_monomorphism_iter1():
+    g1 = nx.DiGraph()
+    g2 = nx.DiGraph()
+    g1.add_edge("A", "B")
+    g1.add_edge("B", "C")
+    g1.add_edge("C", "A")
+    g2.add_edge("X", "Y")
+    g2.add_edge("Y", "Z")
+    gm12 = iso.DiGraphMatcher(g1, g2)
+    x = list(gm12.subgraph_monomorphisms_iter())
+    assert {"A": "X", "B": "Y", "C": "Z"} in x
+    assert {"A": "Y", "B": "Z", "C": "X"} in x
+    assert {"A": "Z", "B": "X", "C": "Y"} in x
+    assert len(x) == 3
+    gm21 = iso.DiGraphMatcher(g2, g1)
+    # Check if StopIteration exception returns False
+    assert not gm21.subgraph_is_monomorphic()
+
+
+def test_isomorphism_iter2():
+    # Path
+    for L in range(2, 10):
+        g1 = nx.path_graph(L)
+        gm = iso.GraphMatcher(g1, g1)
+        s = len(list(gm.isomorphisms_iter()))
+        assert s == 2
+    # Cycle
+    for L in range(3, 10):
+        g1 = nx.cycle_graph(L)
+        gm = iso.GraphMatcher(g1, g1)
+        s = len(list(gm.isomorphisms_iter()))
+        assert s == 2 * L
+
+
+def test_multiple():
+    # Verify that we can use the graph matcher multiple times
+    edges = [("A", "B"), ("B", "A"), ("B", "C")]
+    for g1, g2 in [(nx.Graph(), nx.Graph()), (nx.DiGraph(), nx.DiGraph())]:
+        g1.add_edges_from(edges)
+        g2.add_edges_from(edges)
+        g3 = nx.subgraph(g2, ["A", "B"])
+        if not g1.is_directed():
+            gmA = iso.GraphMatcher(g1, g2)
+            gmB = iso.GraphMatcher(g1, g3)
+        else:
+            gmA = iso.DiGraphMatcher(g1, g2)
+            gmB = iso.DiGraphMatcher(g1, g3)
+        assert gmA.is_isomorphic()
+        g2.remove_node("C")
+        if not g1.is_directed():
+            gmA = iso.GraphMatcher(g1, g2)
+        else:
+            gmA = iso.DiGraphMatcher(g1, g2)
+        assert gmA.subgraph_is_isomorphic()
+        assert gmB.subgraph_is_isomorphic()
+        assert gmA.subgraph_is_monomorphic()
+        assert gmB.subgraph_is_monomorphic()
+
+
+#        for m in [gmB.mapping, gmB.mapping]:
+#            assert_true(m['A'] == 'A')
+#            assert_true(m['B'] == 'B')
+#            assert_true('C' not in m)
+
+
+def test_noncomparable_nodes():
+    node1 = object()
+    node2 = object()
+    node3 = object()
+
+    # Graph
+    G = nx.path_graph([node1, node2, node3])
+    gm = iso.GraphMatcher(G, G)
+    assert gm.is_isomorphic()
+    # Just testing some cases
+    assert gm.subgraph_is_monomorphic()
+
+    # DiGraph
+    G = nx.path_graph([node1, node2, node3], create_using=nx.DiGraph)
+    H = nx.path_graph([node3, node2, node1], create_using=nx.DiGraph)
+    dgm = iso.DiGraphMatcher(G, H)
+    assert dgm.is_isomorphic()
+    # Just testing some cases
+    assert gm.subgraph_is_monomorphic()
+
+
+def test_monomorphism_edge_match():
+    G = nx.DiGraph()
+    G.add_node(1)
+    G.add_node(2)
+    G.add_edge(1, 2, label="A")
+    G.add_edge(2, 1, label="B")
+    G.add_edge(2, 2, label="C")
+
+    SG = nx.DiGraph()
+    SG.add_node(5)
+    SG.add_node(6)
+    SG.add_edge(5, 6, label="A")
+
+    gm = iso.DiGraphMatcher(G, SG, edge_match=iso.categorical_edge_match("label", None))
+    assert gm.subgraph_is_monomorphic()
+
+
+def test_isomorphvf2pp_multidigraphs():
+    g = nx.MultiDiGraph({0: [1, 1, 2, 2, 3], 1: [2, 3, 3], 2: [3]})
+    h = nx.MultiDiGraph({0: [1, 1, 2, 2, 3], 1: [2, 3, 3], 3: [2]})
+    assert not (nx.vf2pp_is_isomorphic(g, h))
diff --git a/.venv/lib/python3.11/site-packages/networkx/algorithms/isomorphism/tests/test_match_helpers.py b/.venv/lib/python3.11/site-packages/networkx/algorithms/isomorphism/tests/test_match_helpers.py
new file mode 100644
index 0000000000000000000000000000000000000000..4d70347f354049ddf26ece51b8418960718ff476
--- /dev/null
+++ b/.venv/lib/python3.11/site-packages/networkx/algorithms/isomorphism/tests/test_match_helpers.py
@@ -0,0 +1,64 @@
+from operator import eq
+
+import networkx as nx
+from networkx.algorithms import isomorphism as iso
+
+
+def test_categorical_node_match():
+    nm = iso.categorical_node_match(["x", "y", "z"], [None] * 3)
+    assert nm({"x": 1, "y": 2, "z": 3}, {"x": 1, "y": 2, "z": 3})
+    assert not nm({"x": 1, "y": 2, "z": 2}, {"x": 1, "y": 2, "z": 1})
+
+
+class TestGenericMultiEdgeMatch:
+    def setup_method(self):
+        self.G1 = nx.MultiDiGraph()
+        self.G2 = nx.MultiDiGraph()
+        self.G3 = nx.MultiDiGraph()
+        self.G4 = nx.MultiDiGraph()
+        attr_dict1 = {"id": "edge1", "minFlow": 0, "maxFlow": 10}
+        attr_dict2 = {"id": "edge2", "minFlow": -3, "maxFlow": 7}
+        attr_dict3 = {"id": "edge3", "minFlow": 13, "maxFlow": 117}
+        attr_dict4 = {"id": "edge4", "minFlow": 13, "maxFlow": 117}
+        attr_dict5 = {"id": "edge5", "minFlow": 8, "maxFlow": 12}
+        attr_dict6 = {"id": "edge6", "minFlow": 8, "maxFlow": 12}
+        for attr_dict in [
+            attr_dict1,
+            attr_dict2,
+            attr_dict3,
+            attr_dict4,
+            attr_dict5,
+            attr_dict6,
+        ]:
+            self.G1.add_edge(1, 2, **attr_dict)
+        for attr_dict in [
+            attr_dict5,
+            attr_dict3,
+            attr_dict6,
+            attr_dict1,
+            attr_dict4,
+            attr_dict2,
+        ]:
+            self.G2.add_edge(2, 3, **attr_dict)
+        for attr_dict in [attr_dict3, attr_dict5]:
+            self.G3.add_edge(3, 4, **attr_dict)
+        for attr_dict in [attr_dict6, attr_dict4]:
+            self.G4.add_edge(4, 5, **attr_dict)
+
+    def test_generic_multiedge_match(self):
+        full_match = iso.generic_multiedge_match(
+            ["id", "flowMin", "flowMax"], [None] * 3, [eq] * 3
+        )
+        flow_match = iso.generic_multiedge_match(
+            ["flowMin", "flowMax"], [None] * 2, [eq] * 2
+        )
+        min_flow_match = iso.generic_multiedge_match("flowMin", None, eq)
+        id_match = iso.generic_multiedge_match("id", None, eq)
+        assert flow_match(self.G1[1][2], self.G2[2][3])
+        assert min_flow_match(self.G1[1][2], self.G2[2][3])
+        assert id_match(self.G1[1][2], self.G2[2][3])
+        assert full_match(self.G1[1][2], self.G2[2][3])
+        assert flow_match(self.G3[3][4], self.G4[4][5])
+        assert min_flow_match(self.G3[3][4], self.G4[4][5])
+        assert not id_match(self.G3[3][4], self.G4[4][5])
+        assert not full_match(self.G3[3][4], self.G4[4][5])
diff --git a/.venv/lib/python3.11/site-packages/networkx/algorithms/isomorphism/tests/test_temporalisomorphvf2.py b/.venv/lib/python3.11/site-packages/networkx/algorithms/isomorphism/tests/test_temporalisomorphvf2.py
new file mode 100644
index 0000000000000000000000000000000000000000..1fe70a42869e4fd1501ae90b849bfb4de50eda2e
--- /dev/null
+++ b/.venv/lib/python3.11/site-packages/networkx/algorithms/isomorphism/tests/test_temporalisomorphvf2.py
@@ -0,0 +1,212 @@
+"""
+Tests for the temporal aspect of the Temporal VF2 isomorphism algorithm.
+"""
+
+from datetime import date, datetime, timedelta
+
+import networkx as nx
+from networkx.algorithms import isomorphism as iso
+
+
+def provide_g1_edgelist():
+    return [(0, 1), (0, 2), (1, 2), (2, 4), (1, 3), (3, 4), (4, 5)]
+
+
+def put_same_time(G, att_name):
+    for e in G.edges(data=True):
+        e[2][att_name] = date(2015, 1, 1)
+    return G
+
+
+def put_same_datetime(G, att_name):
+    for e in G.edges(data=True):
+        e[2][att_name] = datetime(2015, 1, 1)
+    return G
+
+
+def put_sequence_time(G, att_name):
+    current_date = date(2015, 1, 1)
+    for e in G.edges(data=True):
+        current_date += timedelta(days=1)
+        e[2][att_name] = current_date
+    return G
+
+
+def put_time_config_0(G, att_name):
+    G[0][1][att_name] = date(2015, 1, 2)
+    G[0][2][att_name] = date(2015, 1, 2)
+    G[1][2][att_name] = date(2015, 1, 3)
+    G[1][3][att_name] = date(2015, 1, 1)
+    G[2][4][att_name] = date(2015, 1, 1)
+    G[3][4][att_name] = date(2015, 1, 3)
+    G[4][5][att_name] = date(2015, 1, 3)
+    return G
+
+
+def put_time_config_1(G, att_name):
+    G[0][1][att_name] = date(2015, 1, 2)
+    G[0][2][att_name] = date(2015, 1, 1)
+    G[1][2][att_name] = date(2015, 1, 3)
+    G[1][3][att_name] = date(2015, 1, 1)
+    G[2][4][att_name] = date(2015, 1, 2)
+    G[3][4][att_name] = date(2015, 1, 4)
+    G[4][5][att_name] = date(2015, 1, 3)
+    return G
+
+
+def put_time_config_2(G, att_name):
+    G[0][1][att_name] = date(2015, 1, 1)
+    G[0][2][att_name] = date(2015, 1, 1)
+    G[1][2][att_name] = date(2015, 1, 3)
+    G[1][3][att_name] = date(2015, 1, 2)
+    G[2][4][att_name] = date(2015, 1, 2)
+    G[3][4][att_name] = date(2015, 1, 3)
+    G[4][5][att_name] = date(2015, 1, 2)
+    return G
+
+
+class TestTimeRespectingGraphMatcher:
+    """
+    A test class for the undirected temporal graph matcher.
+    """
+
+    def provide_g1_topology(self):
+        G1 = nx.Graph()
+        G1.add_edges_from(provide_g1_edgelist())
+        return G1
+
+    def provide_g2_path_3edges(self):
+        G2 = nx.Graph()
+        G2.add_edges_from([(0, 1), (1, 2), (2, 3)])
+        return G2
+
+    def test_timdelta_zero_timeRespecting_returnsTrue(self):
+        G1 = self.provide_g1_topology()
+        temporal_name = "date"
+        G1 = put_same_time(G1, temporal_name)
+        G2 = self.provide_g2_path_3edges()
+        d = timedelta()
+        gm = iso.TimeRespectingGraphMatcher(G1, G2, temporal_name, d)
+        assert gm.subgraph_is_isomorphic()
+
+    def test_timdelta_zero_datetime_timeRespecting_returnsTrue(self):
+        G1 = self.provide_g1_topology()
+        temporal_name = "date"
+        G1 = put_same_datetime(G1, temporal_name)
+        G2 = self.provide_g2_path_3edges()
+        d = timedelta()
+        gm = iso.TimeRespectingGraphMatcher(G1, G2, temporal_name, d)
+        assert gm.subgraph_is_isomorphic()
+
+    def test_attNameStrange_timdelta_zero_timeRespecting_returnsTrue(self):
+        G1 = self.provide_g1_topology()
+        temporal_name = "strange_name"
+        G1 = put_same_time(G1, temporal_name)
+        G2 = self.provide_g2_path_3edges()
+        d = timedelta()
+        gm = iso.TimeRespectingGraphMatcher(G1, G2, temporal_name, d)
+        assert gm.subgraph_is_isomorphic()
+
+    def test_notTimeRespecting_returnsFalse(self):
+        G1 = self.provide_g1_topology()
+        temporal_name = "date"
+        G1 = put_sequence_time(G1, temporal_name)
+        G2 = self.provide_g2_path_3edges()
+        d = timedelta()
+        gm = iso.TimeRespectingGraphMatcher(G1, G2, temporal_name, d)
+        assert not gm.subgraph_is_isomorphic()
+
+    def test_timdelta_one_config0_returns_no_embeddings(self):
+        G1 = self.provide_g1_topology()
+        temporal_name = "date"
+        G1 = put_time_config_0(G1, temporal_name)
+        G2 = self.provide_g2_path_3edges()
+        d = timedelta(days=1)
+        gm = iso.TimeRespectingGraphMatcher(G1, G2, temporal_name, d)
+        count_match = len(list(gm.subgraph_isomorphisms_iter()))
+        assert count_match == 0
+
+    def test_timdelta_one_config1_returns_four_embedding(self):
+        G1 = self.provide_g1_topology()
+        temporal_name = "date"
+        G1 = put_time_config_1(G1, temporal_name)
+        G2 = self.provide_g2_path_3edges()
+        d = timedelta(days=1)
+        gm = iso.TimeRespectingGraphMatcher(G1, G2, temporal_name, d)
+        count_match = len(list(gm.subgraph_isomorphisms_iter()))
+        assert count_match == 4
+
+    def test_timdelta_one_config2_returns_ten_embeddings(self):
+        G1 = self.provide_g1_topology()
+        temporal_name = "date"
+        G1 = put_time_config_2(G1, temporal_name)
+        G2 = self.provide_g2_path_3edges()
+        d = timedelta(days=1)
+        gm = iso.TimeRespectingGraphMatcher(G1, G2, temporal_name, d)
+        L = list(gm.subgraph_isomorphisms_iter())
+        count_match = len(list(gm.subgraph_isomorphisms_iter()))
+        assert count_match == 10
+
+
+class TestDiTimeRespectingGraphMatcher:
+    """
+    A test class for the directed time-respecting graph matcher.
+    """
+
+    def provide_g1_topology(self):
+        G1 = nx.DiGraph()
+        G1.add_edges_from(provide_g1_edgelist())
+        return G1
+
+    def provide_g2_path_3edges(self):
+        G2 = nx.DiGraph()
+        G2.add_edges_from([(0, 1), (1, 2), (2, 3)])
+        return G2
+
+    def test_timdelta_zero_same_dates_returns_true(self):
+        G1 = self.provide_g1_topology()
+        temporal_name = "date"
+        G1 = put_same_time(G1, temporal_name)
+        G2 = self.provide_g2_path_3edges()
+        d = timedelta()
+        gm = iso.TimeRespectingDiGraphMatcher(G1, G2, temporal_name, d)
+        assert gm.subgraph_is_isomorphic()
+
+    def test_attNameStrange_timdelta_zero_same_dates_returns_true(self):
+        G1 = self.provide_g1_topology()
+        temporal_name = "strange"
+        G1 = put_same_time(G1, temporal_name)
+        G2 = self.provide_g2_path_3edges()
+        d = timedelta()
+        gm = iso.TimeRespectingDiGraphMatcher(G1, G2, temporal_name, d)
+        assert gm.subgraph_is_isomorphic()
+
+    def test_timdelta_one_config0_returns_no_embeddings(self):
+        G1 = self.provide_g1_topology()
+        temporal_name = "date"
+        G1 = put_time_config_0(G1, temporal_name)
+        G2 = self.provide_g2_path_3edges()
+        d = timedelta(days=1)
+        gm = iso.TimeRespectingDiGraphMatcher(G1, G2, temporal_name, d)
+        count_match = len(list(gm.subgraph_isomorphisms_iter()))
+        assert count_match == 0
+
+    def test_timdelta_one_config1_returns_one_embedding(self):
+        G1 = self.provide_g1_topology()
+        temporal_name = "date"
+        G1 = put_time_config_1(G1, temporal_name)
+        G2 = self.provide_g2_path_3edges()
+        d = timedelta(days=1)
+        gm = iso.TimeRespectingDiGraphMatcher(G1, G2, temporal_name, d)
+        count_match = len(list(gm.subgraph_isomorphisms_iter()))
+        assert count_match == 1
+
+    def test_timdelta_one_config2_returns_two_embeddings(self):
+        G1 = self.provide_g1_topology()
+        temporal_name = "date"
+        G1 = put_time_config_2(G1, temporal_name)
+        G2 = self.provide_g2_path_3edges()
+        d = timedelta(days=1)
+        gm = iso.TimeRespectingDiGraphMatcher(G1, G2, temporal_name, d)
+        count_match = len(list(gm.subgraph_isomorphisms_iter()))
+        assert count_match == 2