using for loop to install conda package

.CondaPkg/env/Lib/site-packages/networkx/utils/tests/test__init.py

@@ -0,0 +1,11 @@
+import pytest
+
+
+def test_utils_namespace():
+    """Ensure objects are not unintentionally exposed in utils namespace."""
+    with pytest.raises(ImportError):
+        from networkx.utils import nx
+    with pytest.raises(ImportError):
+        from networkx.utils import sys
+    with pytest.raises(ImportError):
+        from networkx.utils import defaultdict, deque

.CondaPkg/env/Lib/site-packages/networkx/utils/tests/test_decorators.py

@@ -0,0 +1,491 @@
+import os
+import pathlib
+import random
+import tempfile
+
+import pytest
+
+import networkx as nx
+from networkx.utils.decorators import (
+    argmap,
+    not_implemented_for,
+    np_random_state,
+    open_file,
+    py_random_state,
+)
+from networkx.utils.misc import PythonRandomInterface
+
+
+def test_not_implemented_decorator():
+    @not_implemented_for("directed")
+    def test_d(G):
+        pass
+
+    test_d(nx.Graph())
+    with pytest.raises(nx.NetworkXNotImplemented):
+        test_d(nx.DiGraph())
+
+    @not_implemented_for("undirected")
+    def test_u(G):
+        pass
+
+    test_u(nx.DiGraph())
+    with pytest.raises(nx.NetworkXNotImplemented):
+        test_u(nx.Graph())
+
+    @not_implemented_for("multigraph")
+    def test_m(G):
+        pass
+
+    test_m(nx.Graph())
+    with pytest.raises(nx.NetworkXNotImplemented):
+        test_m(nx.MultiGraph())
+
+    @not_implemented_for("graph")
+    def test_g(G):
+        pass
+
+    test_g(nx.MultiGraph())
+    with pytest.raises(nx.NetworkXNotImplemented):
+        test_g(nx.Graph())
+
+    # not MultiDiGraph  (multiple arguments => AND)
+    @not_implemented_for("directed", "multigraph")
+    def test_not_md(G):
+        pass
+
+    test_not_md(nx.Graph())
+    test_not_md(nx.DiGraph())
+    test_not_md(nx.MultiGraph())
+    with pytest.raises(nx.NetworkXNotImplemented):
+        test_not_md(nx.MultiDiGraph())
+
+    # Graph only      (multiple decorators =>  OR)
+    @not_implemented_for("directed")
+    @not_implemented_for("multigraph")
+    def test_graph_only(G):
+        pass
+
+    test_graph_only(nx.Graph())
+    with pytest.raises(nx.NetworkXNotImplemented):
+        test_graph_only(nx.DiGraph())
+    with pytest.raises(nx.NetworkXNotImplemented):
+        test_graph_only(nx.MultiGraph())
+    with pytest.raises(nx.NetworkXNotImplemented):
+        test_graph_only(nx.MultiDiGraph())
+
+    with pytest.raises(ValueError):
+        not_implemented_for("directed", "undirected")
+
+    with pytest.raises(ValueError):
+        not_implemented_for("multigraph", "graph")
+
+
+def test_not_implemented_decorator_key():
+    with pytest.raises(KeyError):
+
+        @not_implemented_for("foo")
+        def test1(G):
+            pass
+
+        test1(nx.Graph())
+
+
+def test_not_implemented_decorator_raise():
+    with pytest.raises(nx.NetworkXNotImplemented):
+
+        @not_implemented_for("graph")
+        def test1(G):
+            pass
+
+        test1(nx.Graph())
+
+
+class TestOpenFileDecorator:
+    def setup_method(self):
+        self.text = ["Blah... ", "BLAH ", "BLAH!!!!"]
+        self.fobj = tempfile.NamedTemporaryFile("wb+", delete=False)
+        self.name = self.fobj.name
+
+    def teardown_method(self):
+        self.fobj.close()
+        os.unlink(self.name)
+
+    def write(self, path):
+        for text in self.text:
+            path.write(text.encode("ascii"))
+
+    @open_file(1, "r")
+    def read(self, path):
+        return path.readlines()[0]
+
+    @staticmethod
+    @open_file(0, "wb")
+    def writer_arg0(path):
+        path.write(b"demo")
+
+    @open_file(1, "wb+")
+    def writer_arg1(self, path):
+        self.write(path)
+
+    @open_file(2, "wb")
+    def writer_arg2default(self, x, path=None):
+        if path is None:
+            with tempfile.NamedTemporaryFile("wb+") as fh:
+                self.write(fh)
+        else:
+            self.write(path)
+
+    @open_file(4, "wb")
+    def writer_arg4default(self, x, y, other="hello", path=None, **kwargs):
+        if path is None:
+            with tempfile.NamedTemporaryFile("wb+") as fh:
+                self.write(fh)
+        else:
+            self.write(path)
+
+    @open_file("path", "wb")
+    def writer_kwarg(self, **kwargs):
+        path = kwargs.get("path", None)
+        if path is None:
+            with tempfile.NamedTemporaryFile("wb+") as fh:
+                self.write(fh)
+        else:
+            self.write(path)
+
+    def test_writer_arg0_str(self):
+        self.writer_arg0(self.name)
+
+    def test_writer_arg0_fobj(self):
+        self.writer_arg0(self.fobj)
+
+    def test_writer_arg0_pathlib(self):
+        self.writer_arg0(pathlib.Path(self.name))
+
+    def test_writer_arg1_str(self):
+        self.writer_arg1(self.name)
+        assert self.read(self.name) == "".join(self.text)
+
+    def test_writer_arg1_fobj(self):
+        self.writer_arg1(self.fobj)
+        assert not self.fobj.closed
+        self.fobj.close()
+        assert self.read(self.name) == "".join(self.text)
+
+    def test_writer_arg2default_str(self):
+        self.writer_arg2default(0, path=None)
+        self.writer_arg2default(0, path=self.name)
+        assert self.read(self.name) == "".join(self.text)
+
+    def test_writer_arg2default_fobj(self):
+        self.writer_arg2default(0, path=self.fobj)
+        assert not self.fobj.closed
+        self.fobj.close()
+        assert self.read(self.name) == "".join(self.text)
+
+    def test_writer_arg2default_fobj_path_none(self):
+        self.writer_arg2default(0, path=None)
+
+    def test_writer_arg4default_fobj(self):
+        self.writer_arg4default(0, 1, dog="dog", other="other")
+        self.writer_arg4default(0, 1, dog="dog", other="other", path=self.name)
+        assert self.read(self.name) == "".join(self.text)
+
+    def test_writer_kwarg_str(self):
+        self.writer_kwarg(path=self.name)
+        assert self.read(self.name) == "".join(self.text)
+
+    def test_writer_kwarg_fobj(self):
+        self.writer_kwarg(path=self.fobj)
+        self.fobj.close()
+        assert self.read(self.name) == "".join(self.text)
+
+    def test_writer_kwarg_path_none(self):
+        self.writer_kwarg(path=None)
+
+
+class TestRandomState:
+    @classmethod
+    def setup_class(cls):
+        global np
+        np = pytest.importorskip("numpy")
+
+    @np_random_state(1)
+    def instantiate_np_random_state(self, random_state):
+        assert isinstance(random_state, np.random.RandomState)
+        return random_state.random_sample()
+
+    @py_random_state(1)
+    def instantiate_py_random_state(self, random_state):
+        assert isinstance(random_state, (random.Random, PythonRandomInterface))
+        return random_state.random()
+
+    def test_random_state_None(self):
+        np.random.seed(42)
+        rv = np.random.random_sample()
+        np.random.seed(42)
+        assert rv == self.instantiate_np_random_state(None)
+
+        random.seed(42)
+        rv = random.random()
+        random.seed(42)
+        assert rv == self.instantiate_py_random_state(None)
+
+    def test_random_state_np_random(self):
+        np.random.seed(42)
+        rv = np.random.random_sample()
+        np.random.seed(42)
+        assert rv == self.instantiate_np_random_state(np.random)
+        np.random.seed(42)
+        assert rv == self.instantiate_py_random_state(np.random)
+
+    def test_random_state_int(self):
+        np.random.seed(42)
+        np_rv = np.random.random_sample()
+        random.seed(42)
+        py_rv = random.random()
+
+        np.random.seed(42)
+        seed = 1
+        rval = self.instantiate_np_random_state(seed)
+        rval_expected = np.random.RandomState(seed).rand()
+        assert rval, rval_expected
+        # test that global seed wasn't changed in function
+        assert np_rv == np.random.random_sample()
+
+        random.seed(42)
+        rval = self.instantiate_py_random_state(seed)
+        rval_expected = random.Random(seed).random()
+        assert rval, rval_expected
+        # test that global seed wasn't changed in function
+        assert py_rv == random.random()
+
+    def test_random_state_np_random_RandomState(self):
+        np.random.seed(42)
+        np_rv = np.random.random_sample()
+
+        np.random.seed(42)
+        seed = 1
+        rng = np.random.RandomState(seed)
+        rval = self.instantiate_np_random_state(seed)
+        rval_expected = np.random.RandomState(seed).rand()
+        assert rval, rval_expected
+
+        rval = self.instantiate_py_random_state(seed)
+        rval_expected = np.random.RandomState(seed).rand()
+        assert rval, rval_expected
+        # test that global seed wasn't changed in function
+        assert np_rv == np.random.random_sample()
+
+    def test_random_state_py_random(self):
+        seed = 1
+        rng = random.Random(seed)
+        rv = self.instantiate_py_random_state(rng)
+        assert rv, random.Random(seed).random()
+
+        pytest.raises(ValueError, self.instantiate_np_random_state, rng)
+
+
+def test_random_state_string_arg_index():
+    with pytest.raises(nx.NetworkXError):
+
+        @np_random_state("a")
+        def make_random_state(rs):
+            pass
+
+        rstate = make_random_state(1)
+
+
+def test_py_random_state_string_arg_index():
+    with pytest.raises(nx.NetworkXError):
+
+        @py_random_state("a")
+        def make_random_state(rs):
+            pass
+
+        rstate = make_random_state(1)
+
+
+def test_random_state_invalid_arg_index():
+    with pytest.raises(nx.NetworkXError):
+
+        @np_random_state(2)
+        def make_random_state(rs):
+            pass
+
+        rstate = make_random_state(1)
+
+
+def test_py_random_state_invalid_arg_index():
+    with pytest.raises(nx.NetworkXError):
+
+        @py_random_state(2)
+        def make_random_state(rs):
+            pass
+
+        rstate = make_random_state(1)
+
+
+class TestArgmap:
+    class ArgmapError(RuntimeError):
+        pass
+
+    def test_trivial_function(self):
+        def do_not_call(x):
+            raise ArgmapError("do not call this function")
+
+        @argmap(do_not_call)
+        def trivial_argmap():
+            return 1
+
+        assert trivial_argmap() == 1
+
+    def test_trivial_iterator(self):
+        def do_not_call(x):
+            raise ArgmapError("do not call this function")
+
+        @argmap(do_not_call)
+        def trivial_argmap():
+            yield from (1, 2, 3)
+
+        assert tuple(trivial_argmap()) == (1, 2, 3)
+
+    def test_contextmanager(self):
+        container = []
+
+        def contextmanager(x):
+            nonlocal container
+            return x, lambda: container.append(x)
+
+        @argmap(contextmanager, 0, 1, 2, try_finally=True)
+        def foo(x, y, z):
+            return x, y, z
+
+        x, y, z = foo("a", "b", "c")
+
+        # context exits are called in reverse
+        assert container == ["c", "b", "a"]
+
+    def test_tryfinally_generator(self):
+        container = []
+
+        def singleton(x):
+            return (x,)
+
+        with pytest.raises(nx.NetworkXError):
+
+            @argmap(singleton, 0, 1, 2, try_finally=True)
+            def foo(x, y, z):
+                yield from (x, y, z)
+
+        @argmap(singleton, 0, 1, 2)
+        def foo(x, y, z):
+            return x + y + z
+
+        q = foo("a", "b", "c")
+
+        assert q == ("a", "b", "c")
+
+    def test_actual_vararg(self):
+        @argmap(lambda x: -x, 4)
+        def foo(x, y, *args):
+            return (x, y) + tuple(args)
+
+        assert foo(1, 2, 3, 4, 5, 6) == (1, 2, 3, 4, -5, 6)
+
+    def test_signature_destroying_intermediate_decorator(self):
+        def add_one_to_first_bad_decorator(f):
+            """Bad because it doesn't wrap the f signature (clobbers it)"""
+
+            def decorated(a, *args, **kwargs):
+                return f(a + 1, *args, **kwargs)
+
+            return decorated
+
+        add_two_to_second = argmap(lambda b: b + 2, 1)
+
+        @add_two_to_second
+        @add_one_to_first_bad_decorator
+        def add_one_and_two(a, b):
+            return a, b
+
+        assert add_one_and_two(5, 5) == (6, 7)
+
+    def test_actual_kwarg(self):
+        @argmap(lambda x: -x, "arg")
+        def foo(*, arg):
+            return arg
+
+        assert foo(arg=3) == -3
+
+    def test_nested_tuple(self):
+        def xform(x, y):
+            u, v = y
+            return x + u + v, (x + u, x + v)
+
+        # we're testing args and kwargs here, too
+        @argmap(xform, (0, ("t", 2)))
+        def foo(a, *args, **kwargs):
+            return a, args, kwargs
+
+        a, args, kwargs = foo(1, 2, 3, t=4)
+
+        assert a == 1 + 4 + 3
+        assert args == (2, 1 + 3)
+        assert kwargs == {"t": 1 + 4}
+
+    def test_flatten(self):
+        assert tuple(argmap._flatten([[[[[], []], [], []], [], [], []]], set())) == ()
+
+        rlist = ["a", ["b", "c"], [["d"], "e"], "f"]
+        assert "".join(argmap._flatten(rlist, set())) == "abcdef"
+
+    def test_indent(self):
+        code = "\n".join(
+            argmap._indent(
+                *[
+                    "try:",
+                    "try:",
+                    "pass#",
+                    "finally:",
+                    "pass#",
+                    "#",
+                    "finally:",
+                    "pass#",
+                ]
+            )
+        )
+        assert (
+            code
+            == """try:
+ try:
+  pass#
+ finally:
+  pass#
+ #
+finally:
+ pass#"""
+        )
+
+    def test_immediate_raise(self):
+        @not_implemented_for("directed")
+        def yield_nodes(G):
+            yield from G
+
+        G = nx.Graph([(1, 2)])
+        D = nx.DiGraph()
+
+        # test first call (argmap is compiled and executed)
+        with pytest.raises(nx.NetworkXNotImplemented):
+            node_iter = yield_nodes(D)
+
+        # test second call (argmap is only executed)
+        with pytest.raises(nx.NetworkXNotImplemented):
+            node_iter = yield_nodes(D)
+
+        # ensure that generators still make generators
+        node_iter = yield_nodes(G)
+        next(node_iter)
+        next(node_iter)
+        with pytest.raises(StopIteration):
+            next(node_iter)

.CondaPkg/env/Lib/site-packages/networkx/utils/tests/test_heaps.py

@@ -0,0 +1,131 @@
+import pytest
+
+import networkx as nx
+from networkx.utils import BinaryHeap, PairingHeap
+
+
+class X:
+    def __eq__(self, other):
+        raise self is other
+
+    def __ne__(self, other):
+        raise self is not other
+
+    def __lt__(self, other):
+        raise TypeError("cannot compare")
+
+    def __le__(self, other):
+        raise TypeError("cannot compare")
+
+    def __ge__(self, other):
+        raise TypeError("cannot compare")
+
+    def __gt__(self, other):
+        raise TypeError("cannot compare")
+
+    def __hash__(self):
+        return hash(id(self))
+
+
+x = X()
+
+
+data = [  # min should not invent an element.
+    ("min", nx.NetworkXError),
+    # Popping an empty heap should fail.
+    ("pop", nx.NetworkXError),
+    # Getting nonexisting elements should return None.
+    ("get", 0, None),
+    ("get", x, None),
+    ("get", None, None),
+    # Inserting a new key should succeed.
+    ("insert", x, 1, True),
+    ("get", x, 1),
+    ("min", (x, 1)),
+    # min should not pop the top element.
+    ("min", (x, 1)),
+    # Inserting a new key of different type should succeed.
+    ("insert", 1, -2.0, True),
+    # int and float values should interop.
+    ("min", (1, -2.0)),
+    # pop removes minimum-valued element.
+    ("insert", 3, -(10**100), True),
+    ("insert", 4, 5, True),
+    ("pop", (3, -(10**100))),
+    ("pop", (1, -2.0)),
+    # Decrease-insert should succeed.
+    ("insert", 4, -50, True),
+    ("insert", 4, -60, False, True),
+    # Decrease-insert should not create duplicate keys.
+    ("pop", (4, -60)),
+    ("pop", (x, 1)),
+    # Popping all elements should empty the heap.
+    ("min", nx.NetworkXError),
+    ("pop", nx.NetworkXError),
+    # Non-value-changing insert should fail.
+    ("insert", x, 0, True),
+    ("insert", x, 0, False, False),
+    ("min", (x, 0)),
+    ("insert", x, 0, True, False),
+    ("min", (x, 0)),
+    # Failed insert should not create duplicate keys.
+    ("pop", (x, 0)),
+    ("pop", nx.NetworkXError),
+    # Increase-insert should succeed when allowed.
+    ("insert", None, 0, True),
+    ("insert", 2, -1, True),
+    ("min", (2, -1)),
+    ("insert", 2, 1, True, False),
+    ("min", (None, 0)),
+    # Increase-insert should fail when disallowed.
+    ("insert", None, 2, False, False),
+    ("min", (None, 0)),
+    # Failed increase-insert should not create duplicate keys.
+    ("pop", (None, 0)),
+    ("pop", (2, 1)),
+    ("min", nx.NetworkXError),
+    ("pop", nx.NetworkXError),
+]
+
+
+def _test_heap_class(cls, *args, **kwargs):
+    heap = cls(*args, **kwargs)
+    # Basic behavioral test
+    for op in data:
+        if op[-1] is not nx.NetworkXError:
+            assert op[-1] == getattr(heap, op[0])(*op[1:-1])
+        else:
+            pytest.raises(op[-1], getattr(heap, op[0]), *op[1:-1])
+    # Coverage test.
+    for i in range(99, -1, -1):
+        assert heap.insert(i, i)
+    for i in range(50):
+        assert heap.pop() == (i, i)
+    for i in range(100):
+        assert heap.insert(i, i) == (i < 50)
+    for i in range(100):
+        assert not heap.insert(i, i + 1)
+    for i in range(50):
+        assert heap.pop() == (i, i)
+    for i in range(100):
+        assert heap.insert(i, i + 1) == (i < 50)
+    for i in range(49):
+        assert heap.pop() == (i, i + 1)
+    assert sorted([heap.pop(), heap.pop()]) == [(49, 50), (50, 50)]
+    for i in range(51, 100):
+        assert not heap.insert(i, i + 1, True)
+    for i in range(51, 70):
+        assert heap.pop() == (i, i + 1)
+    for i in range(100):
+        assert heap.insert(i, i)
+    for i in range(100):
+        assert heap.pop() == (i, i)
+    pytest.raises(nx.NetworkXError, heap.pop)
+
+
+def test_PairingHeap():
+    _test_heap_class(PairingHeap)
+
+
+def test_BinaryHeap():
+    _test_heap_class(BinaryHeap)

.CondaPkg/env/Lib/site-packages/networkx/utils/tests/test_mapped_queue.py

@@ -0,0 +1,268 @@
+import pytest
+
+from networkx.utils.mapped_queue import MappedQueue, _HeapElement
+
+
+def test_HeapElement_gtlt():
+    bar = _HeapElement(1.1, "a")
+    foo = _HeapElement(1, "b")
+    assert foo < bar
+    assert bar > foo
+    assert foo < 1.1
+    assert 1 < bar
+
+
+def test_HeapElement_gtlt_tied_priority():
+    bar = _HeapElement(1, "a")
+    foo = _HeapElement(1, "b")
+    assert foo > bar
+    assert bar < foo
+
+
+def test_HeapElement_eq():
+    bar = _HeapElement(1.1, "a")
+    foo = _HeapElement(1, "a")
+    assert foo == bar
+    assert bar == foo
+    assert foo == "a"
+
+
+def test_HeapElement_iter():
+    foo = _HeapElement(1, "a")
+    bar = _HeapElement(1.1, (3, 2, 1))
+    assert list(foo) == [1, "a"]
+    assert list(bar) == [1.1, 3, 2, 1]
+
+
+def test_HeapElement_getitem():
+    foo = _HeapElement(1, "a")
+    bar = _HeapElement(1.1, (3, 2, 1))
+    assert foo[1] == "a"
+    assert foo[0] == 1
+    assert bar[0] == 1.1
+    assert bar[2] == 2
+    assert bar[3] == 1
+    pytest.raises(IndexError, bar.__getitem__, 4)
+    pytest.raises(IndexError, foo.__getitem__, 2)
+
+
+class TestMappedQueue:
+    def setup_method(self):
+        pass
+
+    def _check_map(self, q):
+        assert q.position == {elt: pos for pos, elt in enumerate(q.heap)}
+
+    def _make_mapped_queue(self, h):
+        q = MappedQueue()
+        q.heap = h
+        q.position = {elt: pos for pos, elt in enumerate(h)}
+        return q
+
+    def test_heapify(self):
+        h = [5, 4, 3, 2, 1, 0]
+        q = self._make_mapped_queue(h)
+        q._heapify()
+        self._check_map(q)
+
+    def test_init(self):
+        h = [5, 4, 3, 2, 1, 0]
+        q = MappedQueue(h)
+        self._check_map(q)
+
+    def test_incomparable(self):
+        h = [5, 4, "a", 2, 1, 0]
+        pytest.raises(TypeError, MappedQueue, h)
+
+    def test_len(self):
+        h = [5, 4, 3, 2, 1, 0]
+        q = MappedQueue(h)
+        self._check_map(q)
+        assert len(q) == 6
+
+    def test_siftup_leaf(self):
+        h = [2]
+        h_sifted = [2]
+        q = self._make_mapped_queue(h)
+        q._siftup(0)
+        assert q.heap == h_sifted
+        self._check_map(q)
+
+    def test_siftup_one_child(self):
+        h = [2, 0]
+        h_sifted = [0, 2]
+        q = self._make_mapped_queue(h)
+        q._siftup(0)
+        assert q.heap == h_sifted
+        self._check_map(q)
+
+    def test_siftup_left_child(self):
+        h = [2, 0, 1]
+        h_sifted = [0, 2, 1]
+        q = self._make_mapped_queue(h)
+        q._siftup(0)
+        assert q.heap == h_sifted
+        self._check_map(q)
+
+    def test_siftup_right_child(self):
+        h = [2, 1, 0]
+        h_sifted = [0, 1, 2]
+        q = self._make_mapped_queue(h)
+        q._siftup(0)
+        assert q.heap == h_sifted
+        self._check_map(q)
+
+    def test_siftup_multiple(self):
+        h = [0, 1, 2, 4, 3, 5, 6]
+        h_sifted = [0, 1, 2, 4, 3, 5, 6]
+        q = self._make_mapped_queue(h)
+        q._siftup(0)
+        assert q.heap == h_sifted
+        self._check_map(q)
+
+    def test_siftdown_leaf(self):
+        h = [2]
+        h_sifted = [2]
+        q = self._make_mapped_queue(h)
+        q._siftdown(0, 0)
+        assert q.heap == h_sifted
+        self._check_map(q)
+
+    def test_siftdown_single(self):
+        h = [1, 0]
+        h_sifted = [0, 1]
+        q = self._make_mapped_queue(h)
+        q._siftdown(0, len(h) - 1)
+        assert q.heap == h_sifted
+        self._check_map(q)
+
+    def test_siftdown_multiple(self):
+        h = [1, 2, 3, 4, 5, 6, 7, 0]
+        h_sifted = [0, 1, 3, 2, 5, 6, 7, 4]
+        q = self._make_mapped_queue(h)
+        q._siftdown(0, len(h) - 1)
+        assert q.heap == h_sifted
+        self._check_map(q)
+
+    def test_push(self):
+        to_push = [6, 1, 4, 3, 2, 5, 0]
+        h_sifted = [0, 2, 1, 6, 3, 5, 4]
+        q = MappedQueue()
+        for elt in to_push:
+            q.push(elt)
+        assert q.heap == h_sifted
+        self._check_map(q)
+
+    def test_push_duplicate(self):
+        to_push = [2, 1, 0]
+        h_sifted = [0, 2, 1]
+        q = MappedQueue()
+        for elt in to_push:
+            inserted = q.push(elt)
+            assert inserted
+        assert q.heap == h_sifted
+        self._check_map(q)
+        inserted = q.push(1)
+        assert not inserted
+
+    def test_pop(self):
+        h = [3, 4, 6, 0, 1, 2, 5]
+        h_sorted = sorted(h)
+        q = self._make_mapped_queue(h)
+        q._heapify()
+        popped = [q.pop() for _ in range(len(h))]
+        assert popped == h_sorted
+        self._check_map(q)
+
+    def test_remove_leaf(self):
+        h = [0, 2, 1, 6, 3, 5, 4]
+        h_removed = [0, 2, 1, 6, 4, 5]
+        q = self._make_mapped_queue(h)
+        removed = q.remove(3)
+        assert q.heap == h_removed
+
+    def test_remove_root(self):
+        h = [0, 2, 1, 6, 3, 5, 4]
+        h_removed = [1, 2, 4, 6, 3, 5]
+        q = self._make_mapped_queue(h)
+        removed = q.remove(0)
+        assert q.heap == h_removed
+
+    def test_update_leaf(self):
+        h = [0, 20, 10, 60, 30, 50, 40]
+        h_updated = [0, 15, 10, 60, 20, 50, 40]
+        q = self._make_mapped_queue(h)
+        removed = q.update(30, 15)
+        assert q.heap == h_updated
+
+    def test_update_root(self):
+        h = [0, 20, 10, 60, 30, 50, 40]
+        h_updated = [10, 20, 35, 60, 30, 50, 40]
+        q = self._make_mapped_queue(h)
+        removed = q.update(0, 35)
+        assert q.heap == h_updated
+
+
+class TestMappedDict(TestMappedQueue):
+    def _make_mapped_queue(self, h):
+        priority_dict = {elt: elt for elt in h}
+        return MappedQueue(priority_dict)
+
+    def test_init(self):
+        d = {5: 0, 4: 1, "a": 2, 2: 3, 1: 4}
+        q = MappedQueue(d)
+        assert q.position == d
+
+    def test_ties(self):
+        d = {5: 0, 4: 1, 3: 2, 2: 3, 1: 4}
+        q = MappedQueue(d)
+        assert q.position == {elt: pos for pos, elt in enumerate(q.heap)}
+
+    def test_pop(self):
+        d = {5: 0, 4: 1, 3: 2, 2: 3, 1: 4}
+        q = MappedQueue(d)
+        assert q.pop() == _HeapElement(0, 5)
+        assert q.position == {elt: pos for pos, elt in enumerate(q.heap)}
+
+    def test_empty_pop(self):
+        q = MappedQueue()
+        pytest.raises(IndexError, q.pop)
+
+    def test_incomparable_ties(self):
+        d = {5: 0, 4: 0, "a": 0, 2: 0, 1: 0}
+        pytest.raises(TypeError, MappedQueue, d)
+
+    def test_push(self):
+        to_push = [6, 1, 4, 3, 2, 5, 0]
+        h_sifted = [0, 2, 1, 6, 3, 5, 4]
+        q = MappedQueue()
+        for elt in to_push:
+            q.push(elt, priority=elt)
+        assert q.heap == h_sifted
+        self._check_map(q)
+
+    def test_push_duplicate(self):
+        to_push = [2, 1, 0]
+        h_sifted = [0, 2, 1]
+        q = MappedQueue()
+        for elt in to_push:
+            inserted = q.push(elt, priority=elt)
+            assert inserted
+        assert q.heap == h_sifted
+        self._check_map(q)
+        inserted = q.push(1, priority=1)
+        assert not inserted
+
+    def test_update_leaf(self):
+        h = [0, 20, 10, 60, 30, 50, 40]
+        h_updated = [0, 15, 10, 60, 20, 50, 40]
+        q = self._make_mapped_queue(h)
+        removed = q.update(30, 15, priority=15)
+        assert q.heap == h_updated
+
+    def test_update_root(self):
+        h = [0, 20, 10, 60, 30, 50, 40]
+        h_updated = [10, 20, 35, 60, 30, 50, 40]
+        q = self._make_mapped_queue(h)
+        removed = q.update(0, 35, priority=35)
+        assert q.heap == h_updated

.CondaPkg/env/Lib/site-packages/networkx/utils/tests/test_misc.py

@@ -0,0 +1,255 @@
+import random
+from copy import copy
+
+import pytest
+
+import networkx as nx
+from networkx.utils import (
+    PythonRandomInterface,
+    arbitrary_element,
+    create_py_random_state,
+    create_random_state,
+    dict_to_numpy_array,
+    discrete_sequence,
+    flatten,
+    groups,
+    make_list_of_ints,
+    pairwise,
+    powerlaw_sequence,
+)
+from networkx.utils.misc import _dict_to_numpy_array1, _dict_to_numpy_array2
+
+nested_depth = (
+    1,
+    2,
+    (3, 4, ((5, 6, (7,), (8, (9, 10), 11), (12, 13, (14, 15)), 16), 17), 18, 19),
+    20,
+)
+
+nested_set = {
+    (1, 2, 3, 4),
+    (5, 6, 7, 8, 9),
+    (10, 11, (12, 13, 14), (15, 16, 17, 18)),
+    19,
+    20,
+}
+
+nested_mixed = [
+    1,
+    (2, 3, {4, (5, 6), 7}, [8, 9]),
+    {10: "foo", 11: "bar", (12, 13): "baz"},
+    {(14, 15): "qwe", 16: "asd"},
+    (17, (18, "19"), 20),
+]
+
+
+@pytest.mark.parametrize("result", [None, [], ["existing"], ["existing1", "existing2"]])
+@pytest.mark.parametrize("nested", [nested_depth, nested_mixed, nested_set])
+def test_flatten(nested, result):
+    if result is None:
+        val = flatten(nested, result)
+        assert len(val) == 20
+    else:
+        _result = copy(result)  # because pytest passes parameters as is
+        nexisting = len(_result)
+        val = flatten(nested, _result)
+        assert len(val) == len(_result) == 20 + nexisting
+
+    assert issubclass(type(val), tuple)
+
+
+def test_make_list_of_ints():
+    mylist = [1, 2, 3.0, 42, -2]
+    assert make_list_of_ints(mylist) is mylist
+    assert make_list_of_ints(mylist) == mylist
+    assert type(make_list_of_ints(mylist)[2]) is int
+    pytest.raises(nx.NetworkXError, make_list_of_ints, [1, 2, 3, "kermit"])
+    pytest.raises(nx.NetworkXError, make_list_of_ints, [1, 2, 3.1])
+
+
+def test_random_number_distribution():
+    # smoke test only
+    z = powerlaw_sequence(20, exponent=2.5)
+    z = discrete_sequence(20, distribution=[0, 0, 0, 0, 1, 1, 1, 1, 2, 2, 3])
+
+
+class TestNumpyArray:
+    @classmethod
+    def setup_class(cls):
+        global np
+        np = pytest.importorskip("numpy")
+
+    def test_numpy_to_list_of_ints(self):
+        a = np.array([1, 2, 3], dtype=np.int64)
+        b = np.array([1.0, 2, 3])
+        c = np.array([1.1, 2, 3])
+        assert type(make_list_of_ints(a)) == list
+        assert make_list_of_ints(b) == list(b)
+        B = make_list_of_ints(b)
+        assert type(B[0]) == int
+        pytest.raises(nx.NetworkXError, make_list_of_ints, c)
+
+    def test__dict_to_numpy_array1(self):
+        d = {"a": 1, "b": 2}
+        a = _dict_to_numpy_array1(d, mapping={"a": 0, "b": 1})
+        np.testing.assert_allclose(a, np.array([1, 2]))
+        a = _dict_to_numpy_array1(d, mapping={"b": 0, "a": 1})
+        np.testing.assert_allclose(a, np.array([2, 1]))
+
+        a = _dict_to_numpy_array1(d)
+        np.testing.assert_allclose(a.sum(), 3)
+
+    def test__dict_to_numpy_array2(self):
+        d = {"a": {"a": 1, "b": 2}, "b": {"a": 10, "b": 20}}
+
+        mapping = {"a": 1, "b": 0}
+        a = _dict_to_numpy_array2(d, mapping=mapping)
+        np.testing.assert_allclose(a, np.array([[20, 10], [2, 1]]))
+
+        a = _dict_to_numpy_array2(d)
+        np.testing.assert_allclose(a.sum(), 33)
+
+    def test_dict_to_numpy_array_a(self):
+        d = {"a": {"a": 1, "b": 2}, "b": {"a": 10, "b": 20}}
+
+        mapping = {"a": 0, "b": 1}
+        a = dict_to_numpy_array(d, mapping=mapping)
+        np.testing.assert_allclose(a, np.array([[1, 2], [10, 20]]))
+
+        mapping = {"a": 1, "b": 0}
+        a = dict_to_numpy_array(d, mapping=mapping)
+        np.testing.assert_allclose(a, np.array([[20, 10], [2, 1]]))
+
+        a = _dict_to_numpy_array2(d)
+        np.testing.assert_allclose(a.sum(), 33)
+
+    def test_dict_to_numpy_array_b(self):
+        d = {"a": 1, "b": 2}
+
+        mapping = {"a": 0, "b": 1}
+        a = dict_to_numpy_array(d, mapping=mapping)
+        np.testing.assert_allclose(a, np.array([1, 2]))
+
+        a = _dict_to_numpy_array1(d)
+        np.testing.assert_allclose(a.sum(), 3)
+
+
+def test_pairwise():
+    nodes = range(4)
+    node_pairs = [(0, 1), (1, 2), (2, 3)]
+    node_pairs_cycle = node_pairs + [(3, 0)]
+    assert list(pairwise(nodes)) == node_pairs
+    assert list(pairwise(iter(nodes))) == node_pairs
+    assert list(pairwise(nodes, cyclic=True)) == node_pairs_cycle
+    empty_iter = iter(())
+    assert list(pairwise(empty_iter)) == []
+    empty_iter = iter(())
+    assert list(pairwise(empty_iter, cyclic=True)) == []
+
+
+def test_groups():
+    many_to_one = dict(zip("abcde", [0, 0, 1, 1, 2]))
+    actual = groups(many_to_one)
+    expected = {0: {"a", "b"}, 1: {"c", "d"}, 2: {"e"}}
+    assert actual == expected
+    assert {} == groups({})
+
+
+def test_create_random_state():
+    np = pytest.importorskip("numpy")
+    rs = np.random.RandomState
+
+    assert isinstance(create_random_state(1), rs)
+    assert isinstance(create_random_state(None), rs)
+    assert isinstance(create_random_state(np.random), rs)
+    assert isinstance(create_random_state(rs(1)), rs)
+    # Support for numpy.random.Generator
+    rng = np.random.default_rng()
+    assert isinstance(create_random_state(rng), np.random.Generator)
+    pytest.raises(ValueError, create_random_state, "a")
+
+    assert np.all(rs(1).rand(10) == create_random_state(1).rand(10))
+
+
+def test_create_py_random_state():
+    pyrs = random.Random
+
+    assert isinstance(create_py_random_state(1), pyrs)
+    assert isinstance(create_py_random_state(None), pyrs)
+    assert isinstance(create_py_random_state(pyrs(1)), pyrs)
+    pytest.raises(ValueError, create_py_random_state, "a")
+
+    np = pytest.importorskip("numpy")
+
+    rs = np.random.RandomState
+    rng = np.random.default_rng(1000)
+    rng_explicit = np.random.Generator(np.random.SFC64())
+    nprs = PythonRandomInterface
+    assert isinstance(create_py_random_state(np.random), nprs)
+    assert isinstance(create_py_random_state(rs(1)), nprs)
+    assert isinstance(create_py_random_state(rng), nprs)
+    assert isinstance(create_py_random_state(rng_explicit), nprs)
+    # test default rng input
+    assert isinstance(PythonRandomInterface(), nprs)
+
+
+def test_PythonRandomInterface_RandomState():
+    np = pytest.importorskip("numpy")
+
+    rs = np.random.RandomState
+    rng = PythonRandomInterface(rs(42))
+    rs42 = rs(42)
+
+    # make sure these functions are same as expected outcome
+    assert rng.randrange(3, 5) == rs42.randint(3, 5)
+    assert rng.choice([1, 2, 3]) == rs42.choice([1, 2, 3])
+    assert rng.gauss(0, 1) == rs42.normal(0, 1)
+    assert rng.expovariate(1.5) == rs42.exponential(1 / 1.5)
+    assert np.all(rng.shuffle([1, 2, 3]) == rs42.shuffle([1, 2, 3]))
+    assert np.all(
+        rng.sample([1, 2, 3], 2) == rs42.choice([1, 2, 3], (2,), replace=False)
+    )
+    assert np.all(
+        [rng.randint(3, 5) for _ in range(100)]
+        == [rs42.randint(3, 6) for _ in range(100)]
+    )
+    assert rng.random() == rs42.random_sample()
+
+
+def test_PythonRandomInterface_Generator():
+    np = pytest.importorskip("numpy")
+
+    rng = np.random.default_rng(42)
+    pri = PythonRandomInterface(np.random.default_rng(42))
+
+    # make sure these functions are same as expected outcome
+    assert pri.randrange(3, 5) == rng.integers(3, 5)
+    assert pri.choice([1, 2, 3]) == rng.choice([1, 2, 3])
+    assert pri.gauss(0, 1) == rng.normal(0, 1)
+    assert pri.expovariate(1.5) == rng.exponential(1 / 1.5)
+    assert np.all(pri.shuffle([1, 2, 3]) == rng.shuffle([1, 2, 3]))
+    assert np.all(
+        pri.sample([1, 2, 3], 2) == rng.choice([1, 2, 3], (2,), replace=False)
+    )
+    assert np.all(
+        [pri.randint(3, 5) for _ in range(100)]
+        == [rng.integers(3, 6) for _ in range(100)]
+    )
+    assert pri.random() == rng.random()
+
+
+@pytest.mark.parametrize(
+    ("iterable_type", "expected"), ((list, 1), (tuple, 1), (str, "["), (set, 1))
+)
+def test_arbitrary_element(iterable_type, expected):
+    iterable = iterable_type([1, 2, 3])
+    assert arbitrary_element(iterable) == expected
+
+
+@pytest.mark.parametrize(
+    "iterator", ((i for i in range(3)), iter([1, 2, 3]))  # generator
+)
+def test_arbitrary_element_raises(iterator):
+    """Value error is raised when input is an iterator."""
+    with pytest.raises(ValueError, match="from an iterator"):
+        arbitrary_element(iterator)

.CondaPkg/env/Lib/site-packages/networkx/utils/tests/test_random_sequence.py

@@ -0,0 +1,38 @@
+import pytest
+
+from networkx.utils import (
+    powerlaw_sequence,
+    random_weighted_sample,
+    weighted_choice,
+    zipf_rv,
+)
+
+
+def test_degree_sequences():
+    seq = powerlaw_sequence(10, seed=1)
+    seq = powerlaw_sequence(10)
+    assert len(seq) == 10
+
+
+def test_zipf_rv():
+    r = zipf_rv(2.3, xmin=2, seed=1)
+    r = zipf_rv(2.3, 2, 1)
+    r = zipf_rv(2.3)
+    assert type(r), int
+    pytest.raises(ValueError, zipf_rv, 0.5)
+    pytest.raises(ValueError, zipf_rv, 2, xmin=0)
+
+
+def test_random_weighted_sample():
+    mapping = {"a": 10, "b": 20}
+    s = random_weighted_sample(mapping, 2, seed=1)
+    s = random_weighted_sample(mapping, 2)
+    assert sorted(s) == sorted(mapping.keys())
+    pytest.raises(ValueError, random_weighted_sample, mapping, 3)
+
+
+def test_random_weighted_choice():
+    mapping = {"a": 10, "b": 0}
+    c = weighted_choice(mapping, seed=1)
+    c = weighted_choice(mapping)
+    assert c == "a"

.CondaPkg/env/Lib/site-packages/networkx/utils/tests/test_rcm.py

@@ -0,0 +1,63 @@
+import networkx as nx
+from networkx.utils import reverse_cuthill_mckee_ordering
+
+
+def test_reverse_cuthill_mckee():
+    # example graph from
+    # http://www.boost.org/doc/libs/1_37_0/libs/graph/example/cuthill_mckee_ordering.cpp
+    G = nx.Graph(
+        [
+            (0, 3),
+            (0, 5),
+            (1, 2),
+            (1, 4),
+            (1, 6),
+            (1, 9),
+            (2, 3),
+            (2, 4),
+            (3, 5),
+            (3, 8),
+            (4, 6),
+            (5, 6),
+            (5, 7),
+            (6, 7),
+        ]
+    )
+    rcm = list(reverse_cuthill_mckee_ordering(G))
+    assert rcm in [[0, 8, 5, 7, 3, 6, 2, 4, 1, 9], [0, 8, 5, 7, 3, 6, 4, 2, 1, 9]]
+
+
+def test_rcm_alternate_heuristic():
+    # example from
+    G = nx.Graph(
+        [
+            (0, 0),
+            (0, 4),
+            (1, 1),
+            (1, 2),
+            (1, 5),
+            (1, 7),
+            (2, 2),
+            (2, 4),
+            (3, 3),
+            (3, 6),
+            (4, 4),
+            (5, 5),
+            (5, 7),
+            (6, 6),
+            (7, 7),
+        ]
+    )
+
+    answers = [
+        [6, 3, 5, 7, 1, 2, 4, 0],
+        [6, 3, 7, 5, 1, 2, 4, 0],
+        [7, 5, 1, 2, 4, 0, 6, 3],
+    ]
+
+    def smallest_degree(G):
+        deg, node = min((d, n) for n, d in G.degree())
+        return node
+
+    rcm = list(reverse_cuthill_mckee_ordering(G, heuristic=smallest_degree))
+    assert rcm in answers

.CondaPkg/env/Lib/site-packages/networkx/utils/tests/test_unionfind.py

@@ -0,0 +1,55 @@
+import networkx as nx
+
+
+def test_unionfind():
+    # Fixed by: 2cddd5958689bdecdcd89b91ac9aaf6ce0e4f6b8
+    # Previously (in 2.x), the UnionFind class could handle mixed types.
+    # But in Python 3.x, this causes a TypeError such as:
+    #   TypeError: unorderable types: str() > int()
+    #
+    # Now we just make sure that no exception is raised.
+    x = nx.utils.UnionFind()
+    x.union(0, "a")
+
+
+def test_subtree_union():
+    # See https://github.com/networkx/networkx/pull/3224
+    # (35db1b551ee65780794a357794f521d8768d5049).
+    # Test if subtree unions hare handled correctly by to_sets().
+    uf = nx.utils.UnionFind()
+    uf.union(1, 2)
+    uf.union(3, 4)
+    uf.union(4, 5)
+    uf.union(1, 5)
+    assert list(uf.to_sets()) == [{1, 2, 3, 4, 5}]
+
+
+def test_unionfind_weights():
+    # Tests if weights are computed correctly with unions of many elements
+    uf = nx.utils.UnionFind()
+    uf.union(1, 4, 7)
+    uf.union(2, 5, 8)
+    uf.union(3, 6, 9)
+    uf.union(1, 2, 3, 4, 5, 6, 7, 8, 9)
+    assert uf.weights[uf[1]] == 9
+
+
+def test_unbalanced_merge_weights():
+    # Tests if the largest set's root is used as the new root when merging
+    uf = nx.utils.UnionFind()
+    uf.union(1, 2, 3)
+    uf.union(4, 5, 6, 7, 8, 9)
+    assert uf.weights[uf[1]] == 3
+    assert uf.weights[uf[4]] == 6
+    largest_root = uf[4]
+    uf.union(1, 4)
+    assert uf[1] == largest_root
+    assert uf.weights[largest_root] == 9
+
+
+def test_empty_union():
+    # Tests if a null-union does nothing.
+    uf = nx.utils.UnionFind((0, 1))
+    uf.union()
+    assert uf[0] == 0
+    assert uf[1] == 1