rm CondaPkg environment

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

@@ -72,9 +72,17 @@ class TestConvertNumpyArray:
         nodelist += [nodelist[0]]
         pytest.raises(nx.NetworkXError, nx.to_numpy_array, P3, nodelist=nodelist)
 
+        # Make nodelist invalid by including non-existent nodes
+        nodelist = [-1, 0, 1]
+        with pytest.raises(
+            nx.NetworkXError,
+            match=f"Nodes {nodelist - P3.nodes} in nodelist is not in G",
+        ):
+            nx.to_numpy_array(P3, nodelist=nodelist)
+
     def test_weight_keyword(self):
         WP4 = nx.Graph()
-        WP4.add_edges_from((n, n + 1, dict(weight=0.5, other=0.3)) for n in range(3))
+        WP4.add_edges_from((n, n + 1, {"weight": 0.5, "other": 0.3}) for n in range(3))
         P4 = path_graph(4)
         A = nx.to_numpy_array(P4)
         np.testing.assert_equal(A, nx.to_numpy_array(WP4, weight=None))
@@ -105,6 +113,12 @@ class TestConvertNumpyArray:
         A = np.array([[1]]).astype(object)
         pytest.raises(TypeError, nx.from_numpy_array, A)
 
+        A = np.array([[[1, 1, 1], [1, 1, 1]], [[1, 1, 1], [1, 1, 1]]])
+        with pytest.raises(
+            nx.NetworkXError, match=f"Input array must be 2D, not {A.ndim}"
+        ):
+            g = nx.from_numpy_array(A)
+
     def test_from_numpy_array_dtype(self):
         dt = [("weight", float), ("cost", int)]
         A = np.array([[(1.0, 2)]], dtype=dt)

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

@@ -168,7 +168,6 @@ class TestConvertPandas:
         assert edges_equal(G.edges(), GW.edges())
 
     def test_to_edgelist_default_source_or_target_col_exists(self):
-
         G = nx.path_graph(10)
         G.add_weighted_edges_from((u, v, u) for u, v in list(G.edges))
         nx.set_edge_attributes(G, 0, name="source")
@@ -182,7 +181,6 @@ class TestConvertPandas:
         pytest.raises(nx.NetworkXError, nx.to_pandas_edgelist, G)
 
     def test_to_edgelist_custom_source_or_target_col_exists(self):
-
         G = nx.path_graph(10)
         G.add_weighted_edges_from((u, v, u) for u, v in list(G.edges))
         nx.set_edge_attributes(G, 0, name="source_col_name")

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

@@ -108,7 +108,7 @@ class TestConvertScipy:
 
     def test_weight_keyword(self):
         WP4 = nx.Graph()
-        WP4.add_edges_from((n, n + 1, dict(weight=0.5, other=0.3)) for n in range(3))
+        WP4.add_edges_from((n, n + 1, {"weight": 0.5, "other": 0.3}) for n in range(3))
         P4 = path_graph(4)
         A = nx.to_scipy_sparse_array(P4)
         np.testing.assert_equal(
@@ -123,7 +123,7 @@ class TestConvertScipy:
 
     def test_format_keyword(self):
         WP4 = nx.Graph()
-        WP4.add_edges_from((n, n + 1, dict(weight=0.5, other=0.3)) for n in range(3))
+        WP4.add_edges_from((n, n + 1, {"weight": 0.5, "other": 0.3}) for n in range(3))
         P4 = path_graph(4)
         A = nx.to_scipy_sparse_array(P4, format="csr")
         np.testing.assert_equal(
@@ -164,7 +164,7 @@ class TestConvertScipy:
         with pytest.raises(nx.NetworkXError):
             WP4 = nx.Graph()
             WP4.add_edges_from(
-                (n, n + 1, dict(weight=0.5, other=0.3)) for n in range(3)
+                (n, n + 1, {"weight": 0.5, "other": 0.3}) for n in range(3)
             )
             P4 = path_graph(4)
             nx.to_scipy_sparse_array(P4, format="any_other")