Mercurial > repos > shellac > sam_consensus_v3
annotate env/lib/python3.9/site-packages/networkx/algorithms/assortativity/tests/test_correlation.py @ 0:4f3585e2f14b draft default tip
"planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
author | shellac |
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date | Mon, 22 Mar 2021 18:12:50 +0000 |
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1 import pytest |
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2 |
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3 np = pytest.importorskip("numpy") |
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4 npt = pytest.importorskip("numpy.testing") |
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5 scipy = pytest.importorskip("scipy") |
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6 |
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7 |
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8 import networkx as nx |
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9 from .base_test import BaseTestAttributeMixing, BaseTestDegreeMixing |
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10 from networkx.algorithms.assortativity.correlation import attribute_ac |
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11 |
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12 |
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13 class TestDegreeMixingCorrelation(BaseTestDegreeMixing): |
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14 def test_degree_assortativity_undirected(self): |
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15 r = nx.degree_assortativity_coefficient(self.P4) |
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16 npt.assert_almost_equal(r, -1.0 / 2, decimal=4) |
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17 |
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18 def test_degree_assortativity_directed(self): |
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19 r = nx.degree_assortativity_coefficient(self.D) |
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20 npt.assert_almost_equal(r, -0.57735, decimal=4) |
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21 |
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22 def test_degree_assortativity_multigraph(self): |
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23 r = nx.degree_assortativity_coefficient(self.M) |
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24 npt.assert_almost_equal(r, -1.0 / 7.0, decimal=4) |
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25 |
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26 def test_degree_pearson_assortativity_undirected(self): |
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27 r = nx.degree_pearson_correlation_coefficient(self.P4) |
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28 npt.assert_almost_equal(r, -1.0 / 2, decimal=4) |
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29 |
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30 def test_degree_pearson_assortativity_directed(self): |
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31 r = nx.degree_pearson_correlation_coefficient(self.D) |
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32 npt.assert_almost_equal(r, -0.57735, decimal=4) |
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33 |
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34 def test_degree_pearson_assortativity_multigraph(self): |
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35 r = nx.degree_pearson_correlation_coefficient(self.M) |
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36 npt.assert_almost_equal(r, -1.0 / 7.0, decimal=4) |
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37 |
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38 |
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39 class TestAttributeMixingCorrelation(BaseTestAttributeMixing): |
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40 def test_attribute_assortativity_undirected(self): |
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41 r = nx.attribute_assortativity_coefficient(self.G, "fish") |
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42 assert r == 6.0 / 22.0 |
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43 |
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44 def test_attribute_assortativity_directed(self): |
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45 r = nx.attribute_assortativity_coefficient(self.D, "fish") |
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46 assert r == 1.0 / 3.0 |
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47 |
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48 def test_attribute_assortativity_multigraph(self): |
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49 r = nx.attribute_assortativity_coefficient(self.M, "fish") |
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50 assert r == 1.0 |
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51 |
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52 def test_attribute_assortativity_coefficient(self): |
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53 # from "Mixing patterns in networks" |
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54 # fmt: off |
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55 a = np.array([[0.258, 0.016, 0.035, 0.013], |
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56 [0.012, 0.157, 0.058, 0.019], |
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57 [0.013, 0.023, 0.306, 0.035], |
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58 [0.005, 0.007, 0.024, 0.016]]) |
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59 # fmt: on |
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60 r = attribute_ac(a) |
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61 npt.assert_almost_equal(r, 0.623, decimal=3) |
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62 |
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63 def test_attribute_assortativity_coefficient2(self): |
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64 # fmt: off |
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65 a = np.array([[0.18, 0.02, 0.01, 0.03], |
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66 [0.02, 0.20, 0.03, 0.02], |
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67 [0.01, 0.03, 0.16, 0.01], |
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68 [0.03, 0.02, 0.01, 0.22]]) |
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69 # fmt: on |
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70 r = attribute_ac(a) |
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71 npt.assert_almost_equal(r, 0.68, decimal=2) |
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72 |
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73 def test_attribute_assortativity(self): |
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74 a = np.array([[50, 50, 0], [50, 50, 0], [0, 0, 2]]) |
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75 r = attribute_ac(a) |
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76 npt.assert_almost_equal(r, 0.029, decimal=3) |