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env-llmeval/lib/python3.10/site-packages/networkx/drawing/tests/test_agraph.py

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+"""Unit tests for PyGraphviz interface."""
+import warnings
+
+import pytest
+
+pygraphviz = pytest.importorskip("pygraphviz")
+
+
+import networkx as nx
+from networkx.utils import edges_equal, graphs_equal, nodes_equal
+
+
+class TestAGraph:
+    def build_graph(self, G):
+        edges = [("A", "B"), ("A", "C"), ("A", "C"), ("B", "C"), ("A", "D")]
+        G.add_edges_from(edges)
+        G.add_node("E")
+        G.graph["metal"] = "bronze"
+        return G
+
+    def assert_equal(self, G1, G2):
+        assert nodes_equal(G1.nodes(), G2.nodes())
+        assert edges_equal(G1.edges(), G2.edges())
+        assert G1.graph["metal"] == G2.graph["metal"]
+
+    @pytest.mark.parametrize(
+        "G", (nx.Graph(), nx.DiGraph(), nx.MultiGraph(), nx.MultiDiGraph())
+    )
+    def test_agraph_roundtripping(self, G, tmp_path):
+        G = self.build_graph(G)
+        A = nx.nx_agraph.to_agraph(G)
+        H = nx.nx_agraph.from_agraph(A)
+        self.assert_equal(G, H)
+
+        fname = tmp_path / "test.dot"
+        nx.drawing.nx_agraph.write_dot(H, fname)
+        Hin = nx.nx_agraph.read_dot(fname)
+        self.assert_equal(H, Hin)
+
+        fname = tmp_path / "fh_test.dot"
+        with open(fname, "w") as fh:
+            nx.drawing.nx_agraph.write_dot(H, fh)
+
+        with open(fname) as fh:
+            Hin = nx.nx_agraph.read_dot(fh)
+        self.assert_equal(H, Hin)
+
+    def test_from_agraph_name(self):
+        G = nx.Graph(name="test")
+        A = nx.nx_agraph.to_agraph(G)
+        H = nx.nx_agraph.from_agraph(A)
+        assert G.name == "test"
+
+    @pytest.mark.parametrize(
+        "graph_class", (nx.Graph, nx.DiGraph, nx.MultiGraph, nx.MultiDiGraph)
+    )
+    def test_from_agraph_create_using(self, graph_class):
+        G = nx.path_graph(3)
+        A = nx.nx_agraph.to_agraph(G)
+        H = nx.nx_agraph.from_agraph(A, create_using=graph_class)
+        assert isinstance(H, graph_class)
+
+    def test_from_agraph_named_edges(self):
+        # Create an AGraph from an existing (non-multi) Graph
+        G = nx.Graph()
+        G.add_nodes_from([0, 1])
+        A = nx.nx_agraph.to_agraph(G)
+        # Add edge (+ name, given by key) to the AGraph
+        A.add_edge(0, 1, key="foo")
+        # Verify a.name roundtrips out to 'key' in from_agraph
+        H = nx.nx_agraph.from_agraph(A)
+        assert isinstance(H, nx.Graph)
+        assert ("0", "1", {"key": "foo"}) in H.edges(data=True)
+
+    def test_to_agraph_with_nodedata(self):
+        G = nx.Graph()
+        G.add_node(1, color="red")
+        A = nx.nx_agraph.to_agraph(G)
+        assert dict(A.nodes()[0].attr) == {"color": "red"}
+
+    @pytest.mark.parametrize("graph_class", (nx.Graph, nx.MultiGraph))
+    def test_to_agraph_with_edgedata(self, graph_class):
+        G = graph_class()
+        G.add_nodes_from([0, 1])
+        G.add_edge(0, 1, color="yellow")
+        A = nx.nx_agraph.to_agraph(G)
+        assert dict(A.edges()[0].attr) == {"color": "yellow"}
+
+    def test_view_pygraphviz_path(self, tmp_path):
+        G = nx.complete_graph(3)
+        input_path = str(tmp_path / "graph.png")
+        out_path, A = nx.nx_agraph.view_pygraphviz(G, path=input_path, show=False)
+        assert out_path == input_path
+        # Ensure file is not empty
+        with open(input_path, "rb") as fh:
+            data = fh.read()
+        assert len(data) > 0
+
+    def test_view_pygraphviz_file_suffix(self, tmp_path):
+        G = nx.complete_graph(3)
+        path, A = nx.nx_agraph.view_pygraphviz(G, suffix=1, show=False)
+        assert path[-6:] == "_1.png"
+
+    def test_view_pygraphviz(self):
+        G = nx.Graph()  # "An empty graph cannot be drawn."
+        pytest.raises(nx.NetworkXException, nx.nx_agraph.view_pygraphviz, G)
+        G = nx.barbell_graph(4, 6)
+        nx.nx_agraph.view_pygraphviz(G, show=False)
+
+    def test_view_pygraphviz_edgelabel(self):
+        G = nx.Graph()
+        G.add_edge(1, 2, weight=7)
+        G.add_edge(2, 3, weight=8)
+        path, A = nx.nx_agraph.view_pygraphviz(G, edgelabel="weight", show=False)
+        for edge in A.edges():
+            assert edge.attr["weight"] in ("7", "8")
+
+    def test_view_pygraphviz_callable_edgelabel(self):
+        G = nx.complete_graph(3)
+
+        def foo_label(data):
+            return "foo"
+
+        path, A = nx.nx_agraph.view_pygraphviz(G, edgelabel=foo_label, show=False)
+        for edge in A.edges():
+            assert edge.attr["label"] == "foo"
+
+    def test_view_pygraphviz_multigraph_edgelabels(self):
+        G = nx.MultiGraph()
+        G.add_edge(0, 1, key=0, name="left_fork")
+        G.add_edge(0, 1, key=1, name="right_fork")
+        path, A = nx.nx_agraph.view_pygraphviz(G, edgelabel="name", show=False)
+        edges = A.edges()
+        assert len(edges) == 2
+        for edge in edges:
+            assert edge.attr["label"].strip() in ("left_fork", "right_fork")
+
+    def test_graph_with_reserved_keywords(self):
+        # test attribute/keyword clash case for #1582
+        # node: n
+        # edges: u,v
+        G = nx.Graph()
+        G = self.build_graph(G)
+        G.nodes["E"]["n"] = "keyword"
+        G.edges[("A", "B")]["u"] = "keyword"
+        G.edges[("A", "B")]["v"] = "keyword"
+        A = nx.nx_agraph.to_agraph(G)
+
+    def test_view_pygraphviz_no_added_attrs_to_input(self):
+        G = nx.complete_graph(2)
+        path, A = nx.nx_agraph.view_pygraphviz(G, show=False)
+        assert G.graph == {}
+
+    @pytest.mark.xfail(reason="known bug in clean_attrs")
+    def test_view_pygraphviz_leaves_input_graph_unmodified(self):
+        G = nx.complete_graph(2)
+        # Add entries to graph dict that to_agraph handles specially
+        G.graph["node"] = {"width": "0.80"}
+        G.graph["edge"] = {"fontsize": "14"}
+        path, A = nx.nx_agraph.view_pygraphviz(G, show=False)
+        assert G.graph == {"node": {"width": "0.80"}, "edge": {"fontsize": "14"}}
+
+    def test_graph_with_AGraph_attrs(self):
+        G = nx.complete_graph(2)
+        # Add entries to graph dict that to_agraph handles specially
+        G.graph["node"] = {"width": "0.80"}
+        G.graph["edge"] = {"fontsize": "14"}
+        path, A = nx.nx_agraph.view_pygraphviz(G, show=False)
+        # Ensure user-specified values are not lost
+        assert dict(A.node_attr)["width"] == "0.80"
+        assert dict(A.edge_attr)["fontsize"] == "14"
+
+    def test_round_trip_empty_graph(self):
+        G = nx.Graph()
+        A = nx.nx_agraph.to_agraph(G)
+        H = nx.nx_agraph.from_agraph(A)
+        # assert graphs_equal(G, H)
+        AA = nx.nx_agraph.to_agraph(H)
+        HH = nx.nx_agraph.from_agraph(AA)
+        assert graphs_equal(H, HH)
+        G.graph["graph"] = {}
+        G.graph["node"] = {}
+        G.graph["edge"] = {}
+        assert graphs_equal(G, HH)
+
+    @pytest.mark.xfail(reason="integer->string node conversion in round trip")
+    def test_round_trip_integer_nodes(self):
+        G = nx.complete_graph(3)
+        A = nx.nx_agraph.to_agraph(G)
+        H = nx.nx_agraph.from_agraph(A)
+        assert graphs_equal(G, H)
+
+    def test_graphviz_alias(self):
+        G = self.build_graph(nx.Graph())
+        pos_graphviz = nx.nx_agraph.graphviz_layout(G)
+        pos_pygraphviz = nx.nx_agraph.pygraphviz_layout(G)
+        assert pos_graphviz == pos_pygraphviz
+
+    @pytest.mark.parametrize("root", range(5))
+    def test_pygraphviz_layout_root(self, root):
+        # NOTE: test depends on layout prog being deterministic
+        G = nx.complete_graph(5)
+        A = nx.nx_agraph.to_agraph(G)
+        # Get layout with root arg is not None
+        pygv_layout = nx.nx_agraph.pygraphviz_layout(G, prog="circo", root=root)
+        # Equivalent layout directly on AGraph
+        A.layout(args=f"-Groot={root}", prog="circo")
+        # Parse AGraph layout
+        a1_pos = tuple(float(v) for v in dict(A.get_node("1").attr)["pos"].split(","))
+        assert pygv_layout[1] == a1_pos
+
+    def test_2d_layout(self):
+        G = nx.Graph()
+        G = self.build_graph(G)
+        G.graph["dimen"] = 2
+        pos = nx.nx_agraph.pygraphviz_layout(G, prog="neato")
+        pos = list(pos.values())
+        assert len(pos) == 5
+        assert len(pos[0]) == 2
+
+    def test_3d_layout(self):
+        G = nx.Graph()
+        G = self.build_graph(G)
+        G.graph["dimen"] = 3
+        pos = nx.nx_agraph.pygraphviz_layout(G, prog="neato")
+        pos = list(pos.values())
+        assert len(pos) == 5
+        assert len(pos[0]) == 3
+
+    def test_no_warnings_raised(self):
+        # Test that no warnings are raised when Networkx graph
+        # is converted to Pygraphviz graph and 'pos'
+        # attribute is given
+        G = nx.Graph()
+        G.add_node(0, pos=(0, 0))
+        G.add_node(1, pos=(1, 1))
+        A = nx.nx_agraph.to_agraph(G)
+        with warnings.catch_warnings(record=True) as record:
+            A.layout()
+        assert len(record) == 0

env-llmeval/lib/python3.10/site-packages/networkx/drawing/tests/test_pydot.py

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+"""Unit tests for pydot drawing functions."""
+from io import StringIO
+
+import pytest
+
+import networkx as nx
+from networkx.utils import graphs_equal
+
+pydot = pytest.importorskip("pydot")
+
+
+class TestPydot:
+    @pytest.mark.parametrize("G", (nx.Graph(), nx.DiGraph()))
+    @pytest.mark.parametrize("prog", ("neato", "dot"))
+    def test_pydot(self, G, prog, tmp_path):
+        """
+        Validate :mod:`pydot`-based usage of the passed NetworkX graph with the
+        passed basename of an external GraphViz command (e.g., `dot`, `neato`).
+        """
+
+        # Set the name of this graph to... "G". Failing to do so will
+        # subsequently trip an assertion expecting this name.
+        G.graph["name"] = "G"
+
+        # Add arbitrary nodes and edges to the passed empty graph.
+        G.add_edges_from([("A", "B"), ("A", "C"), ("B", "C"), ("A", "D")])
+        G.add_node("E")
+
+        # Validate layout of this graph with the passed GraphViz command.
+        graph_layout = nx.nx_pydot.pydot_layout(G, prog=prog)
+        assert isinstance(graph_layout, dict)
+
+        # Convert this graph into a "pydot.Dot" instance.
+        P = nx.nx_pydot.to_pydot(G)
+
+        # Convert this "pydot.Dot" instance back into a graph of the same type.
+        G2 = G.__class__(nx.nx_pydot.from_pydot(P))
+
+        # Validate the original and resulting graphs to be the same.
+        assert graphs_equal(G, G2)
+
+        fname = tmp_path / "out.dot"
+
+        # Serialize this "pydot.Dot" instance to a temporary file in dot format
+        P.write_raw(fname)
+
+        # Deserialize a list of new "pydot.Dot" instances back from this file.
+        Pin_list = pydot.graph_from_dot_file(path=fname, encoding="utf-8")
+
+        # Validate this file to contain only one graph.
+        assert len(Pin_list) == 1
+
+        # The single "pydot.Dot" instance deserialized from this file.
+        Pin = Pin_list[0]
+
+        # Sorted list of all nodes in the original "pydot.Dot" instance.
+        n1 = sorted(p.get_name() for p in P.get_node_list())
+
+        # Sorted list of all nodes in the deserialized "pydot.Dot" instance.
+        n2 = sorted(p.get_name() for p in Pin.get_node_list())
+
+        # Validate these instances to contain the same nodes.
+        assert n1 == n2
+
+        # Sorted list of all edges in the original "pydot.Dot" instance.
+        e1 = sorted((e.get_source(), e.get_destination()) for e in P.get_edge_list())
+
+        # Sorted list of all edges in the original "pydot.Dot" instance.
+        e2 = sorted((e.get_source(), e.get_destination()) for e in Pin.get_edge_list())
+
+        # Validate these instances to contain the same edges.
+        assert e1 == e2
+
+        # Deserialize a new graph of the same type back from this file.
+        Hin = nx.nx_pydot.read_dot(fname)
+        Hin = G.__class__(Hin)
+
+        # Validate the original and resulting graphs to be the same.
+        assert graphs_equal(G, Hin)
+
+    def test_read_write(self):
+        G = nx.MultiGraph()
+        G.graph["name"] = "G"
+        G.add_edge("1", "2", key="0")  # read assumes strings
+        fh = StringIO()
+        nx.nx_pydot.write_dot(G, fh)
+        fh.seek(0)
+        H = nx.nx_pydot.read_dot(fh)
+        assert graphs_equal(G, H)
+
+
+def test_pydot_issue_258():
+    G = nx.Graph([("Example:A", 1)])
+    with pytest.raises(ValueError):
+        nx.nx_pydot.to_pydot(G)
+    with pytest.raises(ValueError):
+        nx.nx_pydot.pydot_layout(G)
+
+    G = nx.Graph()
+    G.add_node("1.2", style="filled", fillcolor="red:yellow")
+    with pytest.raises(ValueError):
+        nx.nx_pydot.to_pydot(G)
+    G.remove_node("1.2")
+    G.add_node("1.2", style="filled", fillcolor='"red:yellow"')
+    assert (
+        G.nodes.data() == nx.nx_pydot.from_pydot(nx.nx_pydot.to_pydot(G)).nodes.data()
+    )
+
+    G = nx.DiGraph()
+    G.add_edge("1", "2", foo="bar:1")
+    with pytest.raises(ValueError):
+        nx.nx_pydot.to_pydot(G)
+    G = nx.DiGraph()
+    G.add_edge("1", "2", foo='"bar:1"')
+    assert G["1"]["2"] == nx.nx_pydot.from_pydot(nx.nx_pydot.to_pydot(G))["1"]["2"]
+
+    G = nx.MultiGraph()
+    G.add_edge("1", "2", foo="b:1")
+    G.add_edge("1", "2", bar="foo:foo")
+    with pytest.raises(ValueError):
+        nx.nx_pydot.to_pydot(G)
+    G = nx.MultiGraph()
+    G.add_edge("1", "2", foo='"b:1"')
+    G.add_edge("1", "2", bar='"foo:foo"')
+    # Keys as integers aren't preserved in the conversion. They are read as strings.
+    assert [attr for _, _, attr in G.edges.data()] == [
+        attr
+        for _, _, attr in nx.nx_pydot.from_pydot(nx.nx_pydot.to_pydot(G)).edges.data()
+    ]
+
+    G = nx.Graph()
+    G.add_edge("1", "2")
+    G["1"]["2"]["f:oo"] = "bar"
+    with pytest.raises(ValueError):
+        nx.nx_pydot.to_pydot(G)
+    G = nx.Graph()
+    G.add_edge("1", "2")
+    G["1"]["2"]['"f:oo"'] = "bar"
+    assert G["1"]["2"] == nx.nx_pydot.from_pydot(nx.nx_pydot.to_pydot(G))["1"]["2"]
+
+    G = nx.Graph([('"Example:A"', 1)])
+    layout = nx.nx_pydot.pydot_layout(G)
+    assert isinstance(layout, dict)
+
+
+@pytest.mark.parametrize(
+    "graph_type", [nx.Graph, nx.DiGraph, nx.MultiGraph, nx.MultiDiGraph]
+)
+def test_hashable_pydot(graph_type):
+    # gh-5790
+    G = graph_type()
+    G.add_edge("5", frozenset([1]), t='"Example:A"', l=False)
+    G.add_edge("1", 2, w=True, t=("node1",), l=frozenset(["node1"]))
+    G.add_edge("node", (3, 3), w="string")
+
+    assert [
+        {"t": '"Example:A"', "l": "False"},
+        {"w": "True", "t": "('node1',)", "l": "frozenset({'node1'})"},
+        {"w": "string"},
+    ] == [
+        attr
+        for _, _, attr in nx.nx_pydot.from_pydot(nx.nx_pydot.to_pydot(G)).edges.data()
+    ]
+
+    assert {str(i) for i in G.nodes()} == set(
+        nx.nx_pydot.from_pydot(nx.nx_pydot.to_pydot(G)).nodes
+    )
+
+
+def test_pydot_numerical_name():
+    G = nx.Graph()
+    G.add_edges_from([("A", "B"), (0, 1)])
+    graph_layout = nx.nx_pydot.pydot_layout(G, prog="dot")
+    assert isinstance(graph_layout, dict)
+    assert "0" not in graph_layout
+    assert 0 in graph_layout
+    assert "1" not in graph_layout
+    assert 1 in graph_layout
+    assert "A" in graph_layout
+    assert "B" in graph_layout

env-llmeval/lib/python3.10/site-packages/networkx/drawing/tests/test_pylab.py

@@ -0,0 +1,879 @@
+"""Unit tests for matplotlib drawing functions."""
+import itertools
+import os
+import warnings
+
+import pytest
+
+mpl = pytest.importorskip("matplotlib")
+np = pytest.importorskip("numpy")
+mpl.use("PS")
+plt = pytest.importorskip("matplotlib.pyplot")
+plt.rcParams["text.usetex"] = False
+
+
+import networkx as nx
+
+barbell = nx.barbell_graph(4, 6)
+
+
+def test_draw():
+    try:
+        functions = [
+            nx.draw_circular,
+            nx.draw_kamada_kawai,
+            nx.draw_planar,
+            nx.draw_random,
+            nx.draw_spectral,
+            nx.draw_spring,
+            nx.draw_shell,
+        ]
+        options = [{"node_color": "black", "node_size": 100, "width": 3}]
+        for function, option in itertools.product(functions, options):
+            function(barbell, **option)
+            plt.savefig("test.ps")
+    except ModuleNotFoundError:  # draw_kamada_kawai requires scipy
+        pass
+    finally:
+        try:
+            os.unlink("test.ps")
+        except OSError:
+            pass
+
+
+def test_draw_shell_nlist():
+    try:
+        nlist = [list(range(4)), list(range(4, 10)), list(range(10, 14))]
+        nx.draw_shell(barbell, nlist=nlist)
+        plt.savefig("test.ps")
+    finally:
+        try:
+            os.unlink("test.ps")
+        except OSError:
+            pass
+
+
+def test_edge_colormap():
+    colors = range(barbell.number_of_edges())
+    nx.draw_spring(
+        barbell, edge_color=colors, width=4, edge_cmap=plt.cm.Blues, with_labels=True
+    )
+    # plt.show()
+
+
+def test_arrows():
+    nx.draw_spring(barbell.to_directed())
+    # plt.show()
+
+
+@pytest.mark.parametrize(
+    ("edge_color", "expected"),
+    (
+        (None, "black"),  # Default
+        ("r", "red"),  # Non-default color string
+        (["r"], "red"),  # Single non-default color in a list
+        ((1.0, 1.0, 0.0), "yellow"),  # single color as rgb tuple
+        ([(1.0, 1.0, 0.0)], "yellow"),  # single color as rgb tuple in list
+        ((0, 1, 0, 1), "lime"),  # single color as rgba tuple
+        ([(0, 1, 0, 1)], "lime"),  # single color as rgba tuple in list
+        ("#0000ff", "blue"),  # single color hex code
+        (["#0000ff"], "blue"),  # hex code in list
+    ),
+)
+@pytest.mark.parametrize("edgelist", (None, [(0, 1)]))
+def test_single_edge_color_undirected(edge_color, expected, edgelist):
+    """Tests ways of specifying all edges have a single color for edges
+    drawn with a LineCollection"""
+
+    G = nx.path_graph(3)
+    drawn_edges = nx.draw_networkx_edges(
+        G, pos=nx.random_layout(G), edgelist=edgelist, edge_color=edge_color
+    )
+    assert mpl.colors.same_color(drawn_edges.get_color(), expected)
+
+
+@pytest.mark.parametrize(
+    ("edge_color", "expected"),
+    (
+        (None, "black"),  # Default
+        ("r", "red"),  # Non-default color string
+        (["r"], "red"),  # Single non-default color in a list
+        ((1.0, 1.0, 0.0), "yellow"),  # single color as rgb tuple
+        ([(1.0, 1.0, 0.0)], "yellow"),  # single color as rgb tuple in list
+        ((0, 1, 0, 1), "lime"),  # single color as rgba tuple
+        ([(0, 1, 0, 1)], "lime"),  # single color as rgba tuple in list
+        ("#0000ff", "blue"),  # single color hex code
+        (["#0000ff"], "blue"),  # hex code in list
+    ),
+)
+@pytest.mark.parametrize("edgelist", (None, [(0, 1)]))
+def test_single_edge_color_directed(edge_color, expected, edgelist):
+    """Tests ways of specifying all edges have a single color for edges drawn
+    with FancyArrowPatches"""
+
+    G = nx.path_graph(3, create_using=nx.DiGraph)
+    drawn_edges = nx.draw_networkx_edges(
+        G, pos=nx.random_layout(G), edgelist=edgelist, edge_color=edge_color
+    )
+    for fap in drawn_edges:
+        assert mpl.colors.same_color(fap.get_edgecolor(), expected)
+
+
+def test_edge_color_tuple_interpretation():
+    """If edge_color is a sequence with the same length as edgelist, then each
+    value in edge_color is mapped onto each edge via colormap."""
+    G = nx.path_graph(6, create_using=nx.DiGraph)
+    pos = {n: (n, n) for n in range(len(G))}
+
+    # num edges != 3 or 4 --> edge_color interpreted as rgb(a)
+    for ec in ((0, 0, 1), (0, 0, 1, 1)):
+        # More than 4 edges
+        drawn_edges = nx.draw_networkx_edges(G, pos, edge_color=ec)
+        for fap in drawn_edges:
+            assert mpl.colors.same_color(fap.get_edgecolor(), ec)
+        # Fewer than 3 edges
+        drawn_edges = nx.draw_networkx_edges(
+            G, pos, edgelist=[(0, 1), (1, 2)], edge_color=ec
+        )
+        for fap in drawn_edges:
+            assert mpl.colors.same_color(fap.get_edgecolor(), ec)
+
+    # num edges == 3, len(edge_color) == 4: interpreted as rgba
+    drawn_edges = nx.draw_networkx_edges(
+        G, pos, edgelist=[(0, 1), (1, 2), (2, 3)], edge_color=(0, 0, 1, 1)
+    )
+    for fap in drawn_edges:
+        assert mpl.colors.same_color(fap.get_edgecolor(), "blue")
+
+    # num edges == 4, len(edge_color) == 3: interpreted as rgb
+    drawn_edges = nx.draw_networkx_edges(
+        G, pos, edgelist=[(0, 1), (1, 2), (2, 3), (3, 4)], edge_color=(0, 0, 1)
+    )
+    for fap in drawn_edges:
+        assert mpl.colors.same_color(fap.get_edgecolor(), "blue")
+
+    # num edges == len(edge_color) == 3: interpreted with cmap, *not* as rgb
+    drawn_edges = nx.draw_networkx_edges(
+        G, pos, edgelist=[(0, 1), (1, 2), (2, 3)], edge_color=(0, 0, 1)
+    )
+    assert mpl.colors.same_color(
+        drawn_edges[0].get_edgecolor(), drawn_edges[1].get_edgecolor()
+    )
+    for fap in drawn_edges:
+        assert not mpl.colors.same_color(fap.get_edgecolor(), "blue")
+
+    # num edges == len(edge_color) == 4: interpreted with cmap, *not* as rgba
+    drawn_edges = nx.draw_networkx_edges(
+        G, pos, edgelist=[(0, 1), (1, 2), (2, 3), (3, 4)], edge_color=(0, 0, 1, 1)
+    )
+    assert mpl.colors.same_color(
+        drawn_edges[0].get_edgecolor(), drawn_edges[1].get_edgecolor()
+    )
+    assert mpl.colors.same_color(
+        drawn_edges[2].get_edgecolor(), drawn_edges[3].get_edgecolor()
+    )
+    for fap in drawn_edges:
+        assert not mpl.colors.same_color(fap.get_edgecolor(), "blue")
+
+
+def test_fewer_edge_colors_than_num_edges_directed():
+    """Test that the edge colors are cycled when there are fewer specified
+    colors than edges."""
+    G = barbell.to_directed()
+    pos = nx.random_layout(barbell)
+    edgecolors = ("r", "g", "b")
+    drawn_edges = nx.draw_networkx_edges(G, pos, edge_color=edgecolors)
+    for fap, expected in zip(drawn_edges, itertools.cycle(edgecolors)):
+        assert mpl.colors.same_color(fap.get_edgecolor(), expected)
+
+
+def test_more_edge_colors_than_num_edges_directed():
+    """Test that extra edge colors are ignored when there are more specified
+    colors than edges."""
+    G = nx.path_graph(4, create_using=nx.DiGraph)  # 3 edges
+    pos = nx.random_layout(barbell)
+    edgecolors = ("r", "g", "b", "c")  # 4 edge colors
+    drawn_edges = nx.draw_networkx_edges(G, pos, edge_color=edgecolors)
+    for fap, expected in zip(drawn_edges, edgecolors[:-1]):
+        assert mpl.colors.same_color(fap.get_edgecolor(), expected)
+
+
+def test_edge_color_string_with_global_alpha_undirected():
+    edge_collection = nx.draw_networkx_edges(
+        barbell,
+        pos=nx.random_layout(barbell),
+        edgelist=[(0, 1), (1, 2)],
+        edge_color="purple",
+        alpha=0.2,
+    )
+    ec = edge_collection.get_color().squeeze()  # as rgba tuple
+    assert len(edge_collection.get_paths()) == 2
+    assert mpl.colors.same_color(ec[:-1], "purple")
+    assert ec[-1] == 0.2
+
+
+def test_edge_color_string_with_global_alpha_directed():
+    drawn_edges = nx.draw_networkx_edges(
+        barbell.to_directed(),
+        pos=nx.random_layout(barbell),
+        edgelist=[(0, 1), (1, 2)],
+        edge_color="purple",
+        alpha=0.2,
+    )
+    assert len(drawn_edges) == 2
+    for fap in drawn_edges:
+        ec = fap.get_edgecolor()  # As rgba tuple
+        assert mpl.colors.same_color(ec[:-1], "purple")
+        assert ec[-1] == 0.2
+
+
+@pytest.mark.parametrize("graph_type", (nx.Graph, nx.DiGraph))
+def test_edge_width_default_value(graph_type):
+    """Test the default linewidth for edges drawn either via LineCollection or
+    FancyArrowPatches."""
+    G = nx.path_graph(2, create_using=graph_type)
+    pos = {n: (n, n) for n in range(len(G))}
+    drawn_edges = nx.draw_networkx_edges(G, pos)
+    if isinstance(drawn_edges, list):  # directed case: list of FancyArrowPatch
+        drawn_edges = drawn_edges[0]
+    assert drawn_edges.get_linewidth() == 1
+
+
+@pytest.mark.parametrize(
+    ("edgewidth", "expected"),
+    (
+        (3, 3),  # single-value, non-default
+        ([3], 3),  # Single value as a list
+    ),
+)
+def test_edge_width_single_value_undirected(edgewidth, expected):
+    G = nx.path_graph(4)
+    pos = {n: (n, n) for n in range(len(G))}
+    drawn_edges = nx.draw_networkx_edges(G, pos, width=edgewidth)
+    assert len(drawn_edges.get_paths()) == 3
+    assert drawn_edges.get_linewidth() == expected
+
+
+@pytest.mark.parametrize(
+    ("edgewidth", "expected"),
+    (
+        (3, 3),  # single-value, non-default
+        ([3], 3),  # Single value as a list
+    ),
+)
+def test_edge_width_single_value_directed(edgewidth, expected):
+    G = nx.path_graph(4, create_using=nx.DiGraph)
+    pos = {n: (n, n) for n in range(len(G))}
+    drawn_edges = nx.draw_networkx_edges(G, pos, width=edgewidth)
+    assert len(drawn_edges) == 3
+    for fap in drawn_edges:
+        assert fap.get_linewidth() == expected
+
+
+@pytest.mark.parametrize(
+    "edgelist",
+    (
+        [(0, 1), (1, 2), (2, 3)],  # one width specification per edge
+        None,  #  fewer widths than edges - widths cycle
+        [(0, 1), (1, 2)],  # More widths than edges - unused widths ignored
+    ),
+)
+def test_edge_width_sequence(edgelist):
+    G = barbell.to_directed()
+    pos = nx.random_layout(G)
+    widths = (0.5, 2.0, 12.0)
+    drawn_edges = nx.draw_networkx_edges(G, pos, edgelist=edgelist, width=widths)
+    for fap, expected_width in zip(drawn_edges, itertools.cycle(widths)):
+        assert fap.get_linewidth() == expected_width
+
+
+def test_edge_color_with_edge_vmin_vmax():
+    """Test that edge_vmin and edge_vmax properly set the dynamic range of the
+    color map when num edges == len(edge_colors)."""
+    G = nx.path_graph(3, create_using=nx.DiGraph)
+    pos = nx.random_layout(G)
+    # Extract colors from the original (unscaled) colormap
+    drawn_edges = nx.draw_networkx_edges(G, pos, edge_color=[0, 1.0])
+    orig_colors = [e.get_edgecolor() for e in drawn_edges]
+    # Colors from scaled colormap
+    drawn_edges = nx.draw_networkx_edges(
+        G, pos, edge_color=[0.2, 0.8], edge_vmin=0.2, edge_vmax=0.8
+    )
+    scaled_colors = [e.get_edgecolor() for e in drawn_edges]
+    assert mpl.colors.same_color(orig_colors, scaled_colors)
+
+
+def test_directed_edges_linestyle_default():
+    """Test default linestyle for edges drawn with FancyArrowPatches."""
+    G = nx.path_graph(4, create_using=nx.DiGraph)  # Graph with 3 edges
+    pos = {n: (n, n) for n in range(len(G))}
+
+    # edge with default style
+    drawn_edges = nx.draw_networkx_edges(G, pos)
+    assert len(drawn_edges) == 3
+    for fap in drawn_edges:
+        assert fap.get_linestyle() == "solid"
+
+
+@pytest.mark.parametrize(
+    "style",
+    (
+        "dashed",  # edge with string style
+        "--",  # edge with simplified string style
+        (1, (1, 1)),  # edge with (offset, onoffseq) style
+    ),
+)
+def test_directed_edges_linestyle_single_value(style):
+    """Tests support for specifying linestyles with a single value to be applied to
+    all edges in ``draw_networkx_edges`` for FancyArrowPatch outputs
+    (e.g. directed edges)."""
+
+    G = nx.path_graph(4, create_using=nx.DiGraph)  # Graph with 3 edges
+    pos = {n: (n, n) for n in range(len(G))}
+
+    drawn_edges = nx.draw_networkx_edges(G, pos, style=style)
+    assert len(drawn_edges) == 3
+    for fap in drawn_edges:
+        assert fap.get_linestyle() == style
+
+
+@pytest.mark.parametrize(
+    "style_seq",
+    (
+        ["dashed"],  # edge with string style in list
+        ["--"],  # edge with simplified string style in list
+        [(1, (1, 1))],  # edge with (offset, onoffseq) style in list
+        ["--", "-", ":"],  # edges with styles for each edge
+        ["--", "-"],  # edges with fewer styles than edges (styles cycle)
+        ["--", "-", ":", "-."],  # edges with more styles than edges (extra unused)
+    ),
+)
+def test_directed_edges_linestyle_sequence(style_seq):
+    """Tests support for specifying linestyles with sequences in
+    ``draw_networkx_edges`` for FancyArrowPatch outputs (e.g. directed edges)."""
+
+    G = nx.path_graph(4, create_using=nx.DiGraph)  # Graph with 3 edges
+    pos = {n: (n, n) for n in range(len(G))}
+
+    drawn_edges = nx.draw_networkx_edges(G, pos, style=style_seq)
+    assert len(drawn_edges) == 3
+    for fap, style in zip(drawn_edges, itertools.cycle(style_seq)):
+        assert fap.get_linestyle() == style
+
+
+def test_labels_and_colors():
+    G = nx.cubical_graph()
+    pos = nx.spring_layout(G)  # positions for all nodes
+    # nodes
+    nx.draw_networkx_nodes(
+        G, pos, nodelist=[0, 1, 2, 3], node_color="r", node_size=500, alpha=0.75
+    )
+    nx.draw_networkx_nodes(
+        G,
+        pos,
+        nodelist=[4, 5, 6, 7],
+        node_color="b",
+        node_size=500,
+        alpha=[0.25, 0.5, 0.75, 1.0],
+    )
+    # edges
+    nx.draw_networkx_edges(G, pos, width=1.0, alpha=0.5)
+    nx.draw_networkx_edges(
+        G,
+        pos,
+        edgelist=[(0, 1), (1, 2), (2, 3), (3, 0)],
+        width=8,
+        alpha=0.5,
+        edge_color="r",
+    )
+    nx.draw_networkx_edges(
+        G,
+        pos,
+        edgelist=[(4, 5), (5, 6), (6, 7), (7, 4)],
+        width=8,
+        alpha=0.5,
+        edge_color="b",
+    )
+    nx.draw_networkx_edges(
+        G,
+        pos,
+        edgelist=[(4, 5), (5, 6), (6, 7), (7, 4)],
+        arrows=True,
+        min_source_margin=0.5,
+        min_target_margin=0.75,
+        width=8,
+        edge_color="b",
+    )
+    # some math labels
+    labels = {}
+    labels[0] = r"$a$"
+    labels[1] = r"$b$"
+    labels[2] = r"$c$"
+    labels[3] = r"$d$"
+    labels[4] = r"$\alpha$"
+    labels[5] = r"$\beta$"
+    labels[6] = r"$\gamma$"
+    labels[7] = r"$\delta$"
+    nx.draw_networkx_labels(G, pos, labels, font_size=16)
+    nx.draw_networkx_edge_labels(G, pos, edge_labels=None, rotate=False)
+    nx.draw_networkx_edge_labels(G, pos, edge_labels={(4, 5): "4-5"})
+    # plt.show()
+
+
+@pytest.mark.mpl_image_compare
+def test_house_with_colors():
+    G = nx.house_graph()
+    # explicitly set positions
+    fig, ax = plt.subplots()
+    pos = {0: (0, 0), 1: (1, 0), 2: (0, 1), 3: (1, 1), 4: (0.5, 2.0)}
+
+    # Plot nodes with different properties for the "wall" and "roof" nodes
+    nx.draw_networkx_nodes(
+        G,
+        pos,
+        node_size=3000,
+        nodelist=[0, 1, 2, 3],
+        node_color="tab:blue",
+    )
+    nx.draw_networkx_nodes(
+        G, pos, node_size=2000, nodelist=[4], node_color="tab:orange"
+    )
+    nx.draw_networkx_edges(G, pos, alpha=0.5, width=6)
+    # Customize axes
+    ax.margins(0.11)
+    plt.tight_layout()
+    plt.axis("off")
+    return fig
+
+
+def test_axes():
+    fig, ax = plt.subplots()
+    nx.draw(barbell, ax=ax)
+    nx.draw_networkx_edge_labels(barbell, nx.circular_layout(barbell), ax=ax)
+
+
+def test_empty_graph():
+    G = nx.Graph()
+    nx.draw(G)
+
+
+def test_draw_empty_nodes_return_values():
+    # See Issue #3833
+    import matplotlib.collections  # call as mpl.collections
+
+    G = nx.Graph([(1, 2), (2, 3)])
+    DG = nx.DiGraph([(1, 2), (2, 3)])
+    pos = nx.circular_layout(G)
+    assert isinstance(
+        nx.draw_networkx_nodes(G, pos, nodelist=[]), mpl.collections.PathCollection
+    )
+    assert isinstance(
+        nx.draw_networkx_nodes(DG, pos, nodelist=[]), mpl.collections.PathCollection
+    )
+
+    # drawing empty edges used to return an empty LineCollection or empty list.
+    # Now it is always an empty list (because edges are now lists of FancyArrows)
+    assert nx.draw_networkx_edges(G, pos, edgelist=[], arrows=True) == []
+    assert nx.draw_networkx_edges(G, pos, edgelist=[], arrows=False) == []
+    assert nx.draw_networkx_edges(DG, pos, edgelist=[], arrows=False) == []
+    assert nx.draw_networkx_edges(DG, pos, edgelist=[], arrows=True) == []
+
+
+def test_multigraph_edgelist_tuples():
+    # See Issue #3295
+    G = nx.path_graph(3, create_using=nx.MultiDiGraph)
+    nx.draw_networkx(G, edgelist=[(0, 1, 0)])
+    nx.draw_networkx(G, edgelist=[(0, 1, 0)], node_size=[10, 20, 0])
+
+
+def test_alpha_iter():
+    pos = nx.random_layout(barbell)
+    fig = plt.figure()
+    # with fewer alpha elements than nodes
+    fig.add_subplot(131)  # Each test in a new axis object
+    nx.draw_networkx_nodes(barbell, pos, alpha=[0.1, 0.2])
+    # with equal alpha elements and nodes
+    num_nodes = len(barbell.nodes)
+    alpha = [x / num_nodes for x in range(num_nodes)]
+    colors = range(num_nodes)
+    fig.add_subplot(132)
+    nx.draw_networkx_nodes(barbell, pos, node_color=colors, alpha=alpha)
+    # with more alpha elements than nodes
+    alpha.append(1)
+    fig.add_subplot(133)
+    nx.draw_networkx_nodes(barbell, pos, alpha=alpha)
+
+
+def test_error_invalid_kwds():
+    with pytest.raises(ValueError, match="Received invalid argument"):
+        nx.draw(barbell, foo="bar")
+
+
+def test_draw_networkx_arrowsize_incorrect_size():
+    G = nx.DiGraph([(0, 1), (0, 2), (0, 3), (1, 3)])
+    arrowsize = [1, 2, 3]
+    with pytest.raises(
+        ValueError, match="arrowsize should have the same length as edgelist"
+    ):
+        nx.draw(G, arrowsize=arrowsize)
+
+
+@pytest.mark.parametrize("arrowsize", (30, [10, 20, 30]))
+def test_draw_edges_arrowsize(arrowsize):
+    G = nx.DiGraph([(0, 1), (0, 2), (1, 2)])
+    pos = {0: (0, 0), 1: (0, 1), 2: (1, 0)}
+    edges = nx.draw_networkx_edges(G, pos=pos, arrowsize=arrowsize)
+
+    arrowsize = itertools.repeat(arrowsize) if isinstance(arrowsize, int) else arrowsize
+
+    for fap, expected in zip(edges, arrowsize):
+        assert isinstance(fap, mpl.patches.FancyArrowPatch)
+        assert fap.get_mutation_scale() == expected
+
+
+def test_np_edgelist():
+    # see issue #4129
+    nx.draw_networkx(barbell, edgelist=np.array([(0, 2), (0, 3)]))
+
+
+def test_draw_nodes_missing_node_from_position():
+    G = nx.path_graph(3)
+    pos = {0: (0, 0), 1: (1, 1)}  # No position for node 2
+    with pytest.raises(nx.NetworkXError, match="has no position"):
+        nx.draw_networkx_nodes(G, pos)
+
+
+# NOTE: parametrizing on marker to test both branches of internal
+# nx.draw_networkx_edges.to_marker_edge function
+@pytest.mark.parametrize("node_shape", ("o", "s"))
+def test_draw_edges_min_source_target_margins(node_shape):
+    """Test that there is a wider gap between the node and the start of an
+    incident edge when min_source_margin is specified.
+
+    This test checks that the use of min_{source/target}_margin kwargs result
+    in shorter (more padding) between the edges and source and target nodes.
+    As a crude visual example, let 's' and 't' represent source and target
+    nodes, respectively:
+
+       Default:
+       s-----------------------------t
+
+       With margins:
+       s   -----------------------   t
+
+    """
+    # Create a single axis object to get consistent pixel coords across
+    # multiple draws
+    fig, ax = plt.subplots()
+    G = nx.DiGraph([(0, 1)])
+    pos = {0: (0, 0), 1: (1, 0)}  # horizontal layout
+    # Get leftmost and rightmost points of the FancyArrowPatch object
+    # representing the edge between nodes 0 and 1 (in pixel coordinates)
+    default_patch = nx.draw_networkx_edges(G, pos, ax=ax, node_shape=node_shape)[0]
+    default_extent = default_patch.get_extents().corners()[::2, 0]
+    # Now, do the same but with "padding" for the source and target via the
+    # min_{source/target}_margin kwargs
+    padded_patch = nx.draw_networkx_edges(
+        G,
+        pos,
+        ax=ax,
+        node_shape=node_shape,
+        min_source_margin=100,
+        min_target_margin=100,
+    )[0]
+    padded_extent = padded_patch.get_extents().corners()[::2, 0]
+
+    # With padding, the left-most extent of the edge should be further to the
+    # right
+    assert padded_extent[0] > default_extent[0]
+    # And the rightmost extent of the edge, further to the left
+    assert padded_extent[1] < default_extent[1]
+
+
+def test_nonzero_selfloop_with_single_node():
+    """Ensure that selfloop extent is non-zero when there is only one node."""
+    # Create explicit axis object for test
+    fig, ax = plt.subplots()
+    # Graph with single node + self loop
+    G = nx.DiGraph()
+    G.add_node(0)
+    G.add_edge(0, 0)
+    # Draw
+    patch = nx.draw_networkx_edges(G, {0: (0, 0)})[0]
+    # The resulting patch must have non-zero extent
+    bbox = patch.get_extents()
+    assert bbox.width > 0 and bbox.height > 0
+    # Cleanup
+    plt.delaxes(ax)
+    plt.close()
+
+
+def test_nonzero_selfloop_with_single_edge_in_edgelist():
+    """Ensure that selfloop extent is non-zero when only a single edge is
+    specified in the edgelist.
+    """
+    # Create explicit axis object for test
+    fig, ax = plt.subplots()
+    # Graph with selfloop
+    G = nx.path_graph(2, create_using=nx.DiGraph)
+    G.add_edge(1, 1)
+    pos = {n: (n, n) for n in G.nodes}
+    # Draw only the selfloop edge via the `edgelist` kwarg
+    patch = nx.draw_networkx_edges(G, pos, edgelist=[(1, 1)])[0]
+    # The resulting patch must have non-zero extent
+    bbox = patch.get_extents()
+    assert bbox.width > 0 and bbox.height > 0
+    # Cleanup
+    plt.delaxes(ax)
+    plt.close()
+
+
+def test_apply_alpha():
+    """Test apply_alpha when there is a mismatch between the number of
+    supplied colors and elements.
+    """
+    nodelist = [0, 1, 2]
+    colorlist = ["r", "g", "b"]
+    alpha = 0.5
+    rgba_colors = nx.drawing.nx_pylab.apply_alpha(colorlist, alpha, nodelist)
+    assert all(rgba_colors[:, -1] == alpha)
+
+
+def test_draw_edges_toggling_with_arrows_kwarg():
+    """
+    The `arrows` keyword argument is used as a 3-way switch to select which
+    type of object to use for drawing edges:
+      - ``arrows=None`` -> default (FancyArrowPatches for directed, else LineCollection)
+      - ``arrows=True`` -> FancyArrowPatches
+      - ``arrows=False`` -> LineCollection
+    """
+    import matplotlib.collections
+    import matplotlib.patches
+
+    UG = nx.path_graph(3)
+    DG = nx.path_graph(3, create_using=nx.DiGraph)
+    pos = {n: (n, n) for n in UG}
+
+    # Use FancyArrowPatches when arrows=True, regardless of graph type
+    for G in (UG, DG):
+        edges = nx.draw_networkx_edges(G, pos, arrows=True)
+        assert len(edges) == len(G.edges)
+        assert isinstance(edges[0], mpl.patches.FancyArrowPatch)
+
+    # Use LineCollection when arrows=False, regardless of graph type
+    for G in (UG, DG):
+        edges = nx.draw_networkx_edges(G, pos, arrows=False)
+        assert isinstance(edges, mpl.collections.LineCollection)
+
+    # Default behavior when arrows=None: FAPs for directed, LC's for undirected
+    edges = nx.draw_networkx_edges(UG, pos)
+    assert isinstance(edges, mpl.collections.LineCollection)
+    edges = nx.draw_networkx_edges(DG, pos)
+    assert len(edges) == len(G.edges)
+    assert isinstance(edges[0], mpl.patches.FancyArrowPatch)
+
+
+@pytest.mark.parametrize("drawing_func", (nx.draw, nx.draw_networkx))
+def test_draw_networkx_arrows_default_undirected(drawing_func):
+    import matplotlib.collections
+
+    G = nx.path_graph(3)
+    fig, ax = plt.subplots()
+    drawing_func(G, ax=ax)
+    assert any(isinstance(c, mpl.collections.LineCollection) for c in ax.collections)
+    assert not ax.patches
+    plt.delaxes(ax)
+    plt.close()
+
+
+@pytest.mark.parametrize("drawing_func", (nx.draw, nx.draw_networkx))
+def test_draw_networkx_arrows_default_directed(drawing_func):
+    import matplotlib.collections
+
+    G = nx.path_graph(3, create_using=nx.DiGraph)
+    fig, ax = plt.subplots()
+    drawing_func(G, ax=ax)
+    assert not any(
+        isinstance(c, mpl.collections.LineCollection) for c in ax.collections
+    )
+    assert ax.patches
+    plt.delaxes(ax)
+    plt.close()
+
+
+def test_edgelist_kwarg_not_ignored():
+    # See gh-4994
+    G = nx.path_graph(3)
+    G.add_edge(0, 0)
+    fig, ax = plt.subplots()
+    nx.draw(G, edgelist=[(0, 1), (1, 2)], ax=ax)  # Exclude self-loop from edgelist
+    assert not ax.patches
+    plt.delaxes(ax)
+    plt.close()
+
+
+@pytest.mark.parametrize(
+    ("G", "expected_n_edges"),
+    ([nx.DiGraph(), 2], [nx.MultiGraph(), 4], [nx.MultiDiGraph(), 4]),
+)
+def test_draw_networkx_edges_multiedge_connectionstyle(G, expected_n_edges):
+    """Draws edges correctly for 3 types of graphs and checks for valid length"""
+    for i, (u, v) in enumerate([(0, 1), (0, 1), (0, 1), (0, 2)]):
+        G.add_edge(u, v, weight=round(i / 3, 2))
+    pos = {n: (n, n) for n in G}
+    # Raises on insuficient connectionstyle length
+    for conn_style in [
+        "arc3,rad=0.1",
+        ["arc3,rad=0.1", "arc3,rad=0.1"],
+        ["arc3,rad=0.1", "arc3,rad=0.1", "arc3,rad=0.2"],
+    ]:
+        nx.draw_networkx_edges(G, pos, connectionstyle=conn_style)
+        arrows = nx.draw_networkx_edges(G, pos, connectionstyle=conn_style)
+        assert len(arrows) == expected_n_edges
+
+
+@pytest.mark.parametrize(
+    ("G", "expected_n_edges"),
+    ([nx.DiGraph(), 2], [nx.MultiGraph(), 4], [nx.MultiDiGraph(), 4]),
+)
+def test_draw_networkx_edge_labels_multiedge_connectionstyle(G, expected_n_edges):
+    """Draws labels correctly for 3 types of graphs and checks for valid length and class names"""
+    for i, (u, v) in enumerate([(0, 1), (0, 1), (0, 1), (0, 2)]):
+        G.add_edge(u, v, weight=round(i / 3, 2))
+    pos = {n: (n, n) for n in G}
+    # Raises on insuficient connectionstyle length
+    arrows = nx.draw_networkx_edges(
+        G, pos, connectionstyle=["arc3,rad=0.1", "arc3,rad=0.1", "arc3,rad=0.1"]
+    )
+    for conn_style in [
+        "arc3,rad=0.1",
+        ["arc3,rad=0.1", "arc3,rad=0.2"],
+        ["arc3,rad=0.1", "arc3,rad=0.1", "arc3,rad=0.1"],
+    ]:
+        text_items = nx.draw_networkx_edge_labels(G, pos, connectionstyle=conn_style)
+        assert len(text_items) == expected_n_edges
+        for ti in text_items.values():
+            assert ti.__class__.__name__ == "CurvedArrowText"
+
+
+def test_draw_networkx_edge_label_multiedge():
+    G = nx.MultiGraph()
+    G.add_edge(0, 1, weight=10)
+    G.add_edge(0, 1, weight=20)
+    edge_labels = nx.get_edge_attributes(G, "weight")  # Includes edge keys
+    pos = {n: (n, n) for n in G}
+    text_items = nx.draw_networkx_edge_labels(
+        G,
+        pos,
+        edge_labels=edge_labels,
+        connectionstyle=["arc3,rad=0.1", "arc3,rad=0.2"],
+    )
+    assert len(text_items) == 2
+
+
+def test_draw_networkx_edge_label_empty_dict():
+    """Regression test for draw_networkx_edge_labels with empty dict. See
+    gh-5372."""
+    G = nx.path_graph(3)
+    pos = {n: (n, n) for n in G.nodes}
+    assert nx.draw_networkx_edge_labels(G, pos, edge_labels={}) == {}
+
+
+def test_draw_networkx_edges_undirected_selfloop_colors():
+    """When an edgelist is supplied along with a sequence of colors, check that
+    the self-loops have the correct colors."""
+    fig, ax = plt.subplots()
+    # Edge list and corresponding colors
+    edgelist = [(1, 3), (1, 2), (2, 3), (1, 1), (3, 3), (2, 2)]
+    edge_colors = ["pink", "cyan", "black", "red", "blue", "green"]
+
+    G = nx.Graph(edgelist)
+    pos = {n: (n, n) for n in G.nodes}
+    nx.draw_networkx_edges(G, pos, ax=ax, edgelist=edgelist, edge_color=edge_colors)
+
+    # Verify that there are three fancy arrow patches (1 per self loop)
+    assert len(ax.patches) == 3
+
+    # These are points that should be contained in the self loops. For example,
+    # sl_points[0] will be (1, 1.1), which is inside the "path" of the first
+    # self-loop but outside the others
+    sl_points = np.array(edgelist[-3:]) + np.array([0, 0.1])
+
+    # Check that the mapping between self-loop locations and their colors is
+    # correct
+    for fap, clr, slp in zip(ax.patches, edge_colors[-3:], sl_points):
+        assert fap.get_path().contains_point(slp)
+        assert mpl.colors.same_color(fap.get_edgecolor(), clr)
+    plt.delaxes(ax)
+    plt.close()
+
+
+@pytest.mark.parametrize(
+    "fap_only_kwarg",  # Non-default values for kwargs that only apply to FAPs
+    (
+        {"arrowstyle": "-"},
+        {"arrowsize": 20},
+        {"connectionstyle": "arc3,rad=0.2"},
+        {"min_source_margin": 10},
+        {"min_target_margin": 10},
+    ),
+)
+def test_user_warnings_for_unused_edge_drawing_kwargs(fap_only_kwarg):
+    """Users should get a warning when they specify a non-default value for
+    one of the kwargs that applies only to edges drawn with FancyArrowPatches,
+    but FancyArrowPatches aren't being used under the hood."""
+    G = nx.path_graph(3)
+    pos = {n: (n, n) for n in G}
+    fig, ax = plt.subplots()
+    # By default, an undirected graph will use LineCollection to represent
+    # the edges
+    kwarg_name = list(fap_only_kwarg.keys())[0]
+    with pytest.warns(
+        UserWarning, match=f"\n\nThe {kwarg_name} keyword argument is not applicable"
+    ):
+        nx.draw_networkx_edges(G, pos, ax=ax, **fap_only_kwarg)
+    # FancyArrowPatches are always used when `arrows=True` is specified.
+    # Check that warnings are *not* raised in this case
+    with warnings.catch_warnings():
+        # Escalate warnings -> errors so tests fail if warnings are raised
+        warnings.simplefilter("error")
+        nx.draw_networkx_edges(G, pos, ax=ax, arrows=True, **fap_only_kwarg)
+
+    plt.delaxes(ax)
+    plt.close()
+
+
+@pytest.mark.parametrize("draw_fn", (nx.draw, nx.draw_circular))
+def test_no_warning_on_default_draw_arrowstyle(draw_fn):
+    # See gh-7284
+    fig, ax = plt.subplots()
+    G = nx.cycle_graph(5)
+    with warnings.catch_warnings(record=True) as w:
+        draw_fn(G, ax=ax)
+    assert len(w) == 0
+
+    plt.delaxes(ax)
+    plt.close()
+
+
+@pytest.mark.parametrize("hide_ticks", [False, True])
+@pytest.mark.parametrize(
+    "method",
+    [
+        nx.draw_networkx,
+        nx.draw_networkx_edge_labels,
+        nx.draw_networkx_edges,
+        nx.draw_networkx_labels,
+        nx.draw_networkx_nodes,
+    ],
+)
+def test_hide_ticks(method, hide_ticks):
+    G = nx.path_graph(3)
+    pos = {n: (n, n) for n in G.nodes}
+    _, ax = plt.subplots()
+    method(G, pos=pos, ax=ax, hide_ticks=hide_ticks)
+    for axis in [ax.xaxis, ax.yaxis]:
+        assert bool(axis.get_ticklabels()) != hide_ticks
+
+    plt.delaxes(ax)
+    plt.close()