Mercurial > repos > shellac > sam_consensus_v3
annotate env/lib/python3.9/site-packages/networkx/algorithms/assortativity/tests/test_neighbor_degree.py @ 0:4f3585e2f14b draft default tip
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author | shellac |
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date | Mon, 22 Mar 2021 18:12:50 +0000 |
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1 import networkx as nx |
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2 from networkx.testing import almost_equal |
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3 |
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4 |
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5 class TestAverageNeighbor: |
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6 def test_degree_p4(self): |
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7 G = nx.path_graph(4) |
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8 answer = {0: 2, 1: 1.5, 2: 1.5, 3: 2} |
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9 nd = nx.average_neighbor_degree(G) |
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10 assert nd == answer |
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11 |
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12 D = G.to_directed() |
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13 nd = nx.average_neighbor_degree(D) |
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14 assert nd == answer |
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15 |
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16 D = G.to_directed() |
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17 nd = nx.average_neighbor_degree(D) |
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18 assert nd == answer |
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19 |
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20 D = G.to_directed() |
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21 nd = nx.average_neighbor_degree(D, source="in", target="in") |
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22 assert nd == answer |
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23 |
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24 def test_degree_p4_weighted(self): |
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25 G = nx.path_graph(4) |
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26 G[1][2]["weight"] = 4 |
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27 answer = {0: 2, 1: 1.8, 2: 1.8, 3: 2} |
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28 nd = nx.average_neighbor_degree(G, weight="weight") |
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29 assert nd == answer |
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30 |
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31 D = G.to_directed() |
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32 nd = nx.average_neighbor_degree(D, weight="weight") |
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33 assert nd == answer |
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34 |
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35 D = G.to_directed() |
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36 nd = nx.average_neighbor_degree(D, weight="weight") |
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37 assert nd == answer |
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38 nd = nx.average_neighbor_degree(D, source="out", target="out", weight="weight") |
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39 assert nd == answer |
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40 |
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41 D = G.to_directed() |
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42 nd = nx.average_neighbor_degree(D, source="in", target="in", weight="weight") |
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43 assert nd == answer |
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44 |
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45 def test_degree_k4(self): |
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46 G = nx.complete_graph(4) |
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47 answer = {0: 3, 1: 3, 2: 3, 3: 3} |
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48 nd = nx.average_neighbor_degree(G) |
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49 assert nd == answer |
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50 |
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51 D = G.to_directed() |
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52 nd = nx.average_neighbor_degree(D) |
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53 assert nd == answer |
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54 |
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55 D = G.to_directed() |
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56 nd = nx.average_neighbor_degree(D) |
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57 assert nd == answer |
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58 |
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59 D = G.to_directed() |
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60 nd = nx.average_neighbor_degree(D, source="in", target="in") |
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61 assert nd == answer |
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62 |
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63 def test_degree_k4_nodes(self): |
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64 G = nx.complete_graph(4) |
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65 answer = {1: 3.0, 2: 3.0} |
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66 nd = nx.average_neighbor_degree(G, nodes=[1, 2]) |
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67 assert nd == answer |
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68 |
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69 def test_degree_barrat(self): |
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70 G = nx.star_graph(5) |
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71 G.add_edges_from([(5, 6), (5, 7), (5, 8), (5, 9)]) |
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72 G[0][5]["weight"] = 5 |
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73 nd = nx.average_neighbor_degree(G)[5] |
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74 assert nd == 1.8 |
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75 nd = nx.average_neighbor_degree(G, weight="weight")[5] |
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76 assert almost_equal(nd, 3.222222, places=5) |