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import tempfile |
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from io import BytesIO |
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import pytest |
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import networkx as nx |
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from networkx.utils import edges_equal, nodes_equal |
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class TestSparseGraph6: |
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def test_from_sparse6_bytes(self): |
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data = b":Q___eDcdFcDeFcE`GaJ`IaHbKNbLM" |
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G = nx.from_sparse6_bytes(data) |
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assert nodes_equal( |
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sorted(G.nodes()), |
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[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], |
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) |
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assert edges_equal( |
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G.edges(), |
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[ |
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(0, 1), |
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(0, 2), |
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(0, 3), |
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(1, 12), |
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(1, 14), |
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(2, 13), |
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(2, 15), |
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(3, 16), |
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(3, 17), |
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(4, 7), |
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(4, 9), |
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(4, 11), |
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(5, 6), |
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(5, 8), |
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(5, 9), |
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(6, 10), |
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(6, 11), |
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(7, 8), |
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(7, 10), |
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(8, 12), |
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(9, 15), |
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(10, 14), |
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(11, 13), |
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(12, 16), |
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(13, 17), |
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(14, 17), |
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(15, 16), |
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], |
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) |
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def test_from_bytes_multigraph_graph(self): |
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graph_data = b":An" |
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G = nx.from_sparse6_bytes(graph_data) |
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assert type(G) == nx.Graph |
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multigraph_data = b":Ab" |
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M = nx.from_sparse6_bytes(multigraph_data) |
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assert type(M) == nx.MultiGraph |
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def test_read_sparse6(self): |
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data = b":Q___eDcdFcDeFcE`GaJ`IaHbKNbLM" |
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G = nx.from_sparse6_bytes(data) |
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fh = BytesIO(data) |
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Gin = nx.read_sparse6(fh) |
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assert nodes_equal(G.nodes(), Gin.nodes()) |
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assert edges_equal(G.edges(), Gin.edges()) |
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def test_read_many_graph6(self): |
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data = b":Q___eDcdFcDeFcE`GaJ`IaHbKNbLM\n" b":Q___dCfDEdcEgcbEGbFIaJ`JaHN`IM" |
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fh = BytesIO(data) |
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glist = nx.read_sparse6(fh) |
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assert len(glist) == 2 |
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for G in glist: |
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assert nodes_equal( |
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G.nodes(), |
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[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], |
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) |
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class TestWriteSparse6: |
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"""Unit tests for writing graphs in the sparse6 format. |
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Most of the test cases were checked against the sparse6 encoder in Sage. |
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""" |
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def test_null_graph(self): |
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G = nx.null_graph() |
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result = BytesIO() |
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nx.write_sparse6(G, result) |
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assert result.getvalue() == b">>sparse6<<:?\n" |
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def test_trivial_graph(self): |
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G = nx.trivial_graph() |
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result = BytesIO() |
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nx.write_sparse6(G, result) |
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assert result.getvalue() == b">>sparse6<<:@\n" |
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def test_empty_graph(self): |
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G = nx.empty_graph(5) |
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result = BytesIO() |
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nx.write_sparse6(G, result) |
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assert result.getvalue() == b">>sparse6<<:D\n" |
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def test_large_empty_graph(self): |
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G = nx.empty_graph(68) |
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result = BytesIO() |
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nx.write_sparse6(G, result) |
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assert result.getvalue() == b">>sparse6<<:~?@C\n" |
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def test_very_large_empty_graph(self): |
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G = nx.empty_graph(258049) |
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result = BytesIO() |
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nx.write_sparse6(G, result) |
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assert result.getvalue() == b">>sparse6<<:~~???~?@\n" |
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def test_complete_graph(self): |
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G = nx.complete_graph(4) |
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result = BytesIO() |
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nx.write_sparse6(G, result) |
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assert result.getvalue() == b">>sparse6<<:CcKI\n" |
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def test_no_header(self): |
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G = nx.complete_graph(4) |
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result = BytesIO() |
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nx.write_sparse6(G, result, header=False) |
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assert result.getvalue() == b":CcKI\n" |
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def test_padding(self): |
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codes = (b":Cdv", b":DaYn", b":EaYnN", b":FaYnL", b":GaYnLz") |
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for n, code in enumerate(codes, start=4): |
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G = nx.path_graph(n) |
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result = BytesIO() |
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nx.write_sparse6(G, result, header=False) |
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assert result.getvalue() == code + b"\n" |
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def test_complete_bipartite(self): |
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G = nx.complete_bipartite_graph(6, 9) |
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result = BytesIO() |
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nx.write_sparse6(G, result) |
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expected = b">>sparse6<<:Nk" + b"?G`cJ" * 9 + b"\n" |
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assert result.getvalue() == expected |
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def test_read_write_inverse(self): |
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for i in list(range(13)) + [31, 47, 62, 63, 64, 72]: |
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m = min(2 * i, i * i // 2) |
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g = nx.random_graphs.gnm_random_graph(i, m, seed=i) |
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gstr = BytesIO() |
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nx.write_sparse6(g, gstr, header=False) |
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gstr = gstr.getvalue().rstrip() |
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g2 = nx.from_sparse6_bytes(gstr) |
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assert g2.order() == g.order() |
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assert edges_equal(g2.edges(), g.edges()) |
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def test_no_directed_graphs(self): |
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with pytest.raises(nx.NetworkXNotImplemented): |
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nx.write_sparse6(nx.DiGraph(), BytesIO()) |
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def test_write_path(self): |
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with tempfile.NamedTemporaryFile() as f: |
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fullfilename = f.name |
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nx.write_sparse6(nx.null_graph(), fullfilename) |
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fh = open(fullfilename, mode="rb") |
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assert fh.read() == b">>sparse6<<:?\n" |
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fh.close() |
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import os |
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os.remove(fullfilename) |
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