109 lines
2.7 KiB
Python
109 lines
2.7 KiB
Python
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import pytest
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np = pytest.importorskip("numpy")
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import numpy.testing as npt
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import networkx as nx
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def test_attr_matrix():
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G = nx.Graph()
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G.add_edge(0, 1, thickness=1, weight=3)
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G.add_edge(0, 1, thickness=1, weight=3)
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G.add_edge(0, 2, thickness=2)
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G.add_edge(1, 2, thickness=3)
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def node_attr(u):
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return G.nodes[u].get("size", 0.5) * 3
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def edge_attr(u, v):
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return G[u][v].get("thickness", 0.5)
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M = nx.attr_matrix(G, edge_attr=edge_attr, node_attr=node_attr)
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npt.assert_equal(M[0], np.array([[6.0]]))
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assert M[1] == [1.5]
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def test_attr_matrix_directed():
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G = nx.DiGraph()
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G.add_edge(0, 1, thickness=1, weight=3)
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G.add_edge(0, 1, thickness=1, weight=3)
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G.add_edge(0, 2, thickness=2)
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G.add_edge(1, 2, thickness=3)
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M = nx.attr_matrix(G, rc_order=[0, 1, 2])
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# fmt: off
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data = np.array(
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[[0., 1., 1.],
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[0., 0., 1.],
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[0., 0., 0.]]
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)
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# fmt: on
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npt.assert_equal(M, np.array(data))
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def test_attr_matrix_multigraph():
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G = nx.MultiGraph()
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G.add_edge(0, 1, thickness=1, weight=3)
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G.add_edge(0, 1, thickness=1, weight=3)
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G.add_edge(0, 1, thickness=1, weight=3)
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G.add_edge(0, 2, thickness=2)
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G.add_edge(1, 2, thickness=3)
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M = nx.attr_matrix(G, rc_order=[0, 1, 2])
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# fmt: off
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data = np.array(
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[[0., 3., 1.],
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[3., 0., 1.],
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[1., 1., 0.]]
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)
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# fmt: on
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npt.assert_equal(M, np.array(data))
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M = nx.attr_matrix(G, edge_attr="weight", rc_order=[0, 1, 2])
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# fmt: off
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data = np.array(
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[[0., 9., 1.],
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[9., 0., 1.],
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[1., 1., 0.]]
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)
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# fmt: on
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npt.assert_equal(M, np.array(data))
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M = nx.attr_matrix(G, edge_attr="thickness", rc_order=[0, 1, 2])
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# fmt: off
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data = np.array(
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[[0., 3., 2.],
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[3., 0., 3.],
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[2., 3., 0.]]
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)
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# fmt: on
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npt.assert_equal(M, np.array(data))
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def test_attr_sparse_matrix():
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pytest.importorskip("scipy")
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G = nx.Graph()
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G.add_edge(0, 1, thickness=1, weight=3)
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G.add_edge(0, 2, thickness=2)
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G.add_edge(1, 2, thickness=3)
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M = nx.attr_sparse_matrix(G)
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mtx = M[0]
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data = np.ones((3, 3), float)
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np.fill_diagonal(data, 0)
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npt.assert_equal(mtx.todense(), np.array(data))
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assert M[1] == [0, 1, 2]
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def test_attr_sparse_matrix_directed():
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G = nx.DiGraph()
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G.add_edge(0, 1, thickness=1, weight=3)
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G.add_edge(0, 1, thickness=1, weight=3)
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G.add_edge(0, 2, thickness=2)
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G.add_edge(1, 2, thickness=3)
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M = nx.attr_sparse_matrix(G, rc_order=[0, 1, 2])
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# fmt: off
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data = np.array(
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[[0., 1., 1.],
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[0., 0., 1.],
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[0., 0., 0.]]
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)
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# fmt: on
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npt.assert_equal(M.todense(), np.array(data))
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