Mercurial > repos > shellac > sam_consensus_v3
annotate env/lib/python3.9/site-packages/networkx/algorithms/link_analysis/tests/test_hits.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 |
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4 import networkx |
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5 from networkx.testing import almost_equal |
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6 |
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7 # Example from |
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8 # A. Langville and C. Meyer, "A survey of eigenvector methods of web |
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9 # information retrieval." http://citeseer.ist.psu.edu/713792.html |
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10 |
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11 |
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12 class TestHITS: |
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13 @classmethod |
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14 def setup_class(cls): |
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15 |
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16 G = networkx.DiGraph() |
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17 |
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18 edges = [(1, 3), (1, 5), (2, 1), (3, 5), (5, 4), (5, 3), (6, 5)] |
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19 |
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20 G.add_edges_from(edges, weight=1) |
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21 cls.G = G |
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22 cls.G.a = dict( |
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23 zip(sorted(G), [0.000000, 0.000000, 0.366025, 0.133975, 0.500000, 0.000000]) |
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24 ) |
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25 cls.G.h = dict( |
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26 zip(sorted(G), [0.366025, 0.000000, 0.211325, 0.000000, 0.211325, 0.211325]) |
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27 ) |
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28 |
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29 def test_hits(self): |
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30 G = self.G |
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31 h, a = networkx.hits(G, tol=1.0e-08) |
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32 for n in G: |
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33 assert almost_equal(h[n], G.h[n], places=4) |
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34 for n in G: |
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35 assert almost_equal(a[n], G.a[n], places=4) |
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36 |
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37 def test_hits_nstart(self): |
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38 G = self.G |
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39 nstart = {i: 1.0 / 2 for i in G} |
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40 h, a = networkx.hits(G, nstart=nstart) |
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41 |
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42 def test_hits_numpy(self): |
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43 numpy = pytest.importorskip("numpy") |
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44 G = self.G |
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45 h, a = networkx.hits_numpy(G) |
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46 for n in G: |
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47 assert almost_equal(h[n], G.h[n], places=4) |
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48 for n in G: |
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49 assert almost_equal(a[n], G.a[n], places=4) |
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50 |
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51 def test_hits_scipy(self): |
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52 sp = pytest.importorskip("scipy") |
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53 G = self.G |
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54 h, a = networkx.hits_scipy(G, tol=1.0e-08) |
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55 for n in G: |
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56 assert almost_equal(h[n], G.h[n], places=4) |
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57 for n in G: |
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58 assert almost_equal(a[n], G.a[n], places=4) |
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59 |
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60 def test_empty(self): |
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61 numpy = pytest.importorskip("numpy") |
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62 G = networkx.Graph() |
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63 assert networkx.hits(G) == ({}, {}) |
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64 assert networkx.hits_numpy(G) == ({}, {}) |
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65 assert networkx.authority_matrix(G).shape == (0, 0) |
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66 assert networkx.hub_matrix(G).shape == (0, 0) |
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67 |
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68 def test_empty_scipy(self): |
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69 scipy = pytest.importorskip("scipy") |
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70 G = networkx.Graph() |
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71 assert networkx.hits_scipy(G) == ({}, {}) |
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72 |
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73 def test_hits_not_convergent(self): |
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74 with pytest.raises(networkx.PowerIterationFailedConvergence): |
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75 G = self.G |
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76 networkx.hits(G, max_iter=0) |