annotate env/lib/python3.9/site-packages/networkx/readwrite/json_graph/tests/test_jit.py @ 0:4f3585e2f14b draft default tip

"planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
author shellac
date Mon, 22 Mar 2021 18:12:50 +0000
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1 import json
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2 import pytest
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3 import networkx as nx
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4 from networkx.readwrite.json_graph import jit_data, jit_graph
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5
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6
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7 class TestJIT:
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8 def test_jit(self):
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9 G = nx.Graph()
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10 G.add_node("Node1", node_data="foobar")
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11 G.add_node("Node3", node_data="bar")
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12 G.add_node("Node4")
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13 G.add_edge("Node1", "Node2", weight=9, something="isSomething")
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14 G.add_edge("Node2", "Node3", weight=4, something="isNotSomething")
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15 G.add_edge("Node1", "Node2")
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16 d = jit_data(G)
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17 K = jit_graph(json.loads(d))
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18 assert nx.is_isomorphic(G, K)
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19
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20 def test_jit_2(self):
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21 G = nx.Graph()
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22 G.add_node(1, node_data=3)
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23 G.add_node(3, node_data=0)
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24 G.add_edge(1, 2, weight=9, something=0)
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25 G.add_edge(2, 3, weight=4, something=3)
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26 G.add_edge(1, 2)
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27 d = jit_data(G)
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28 K = jit_graph(json.loads(d))
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29 assert nx.is_isomorphic(G, K)
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30
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31 def test_jit_directed(self):
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32 G = nx.DiGraph()
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33 G.add_node(1, node_data=3)
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34 G.add_node(3, node_data=0)
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35 G.add_edge(1, 2, weight=9, something=0)
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36 G.add_edge(2, 3, weight=4, something=3)
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37 G.add_edge(1, 2)
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38 d = jit_data(G)
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39 K = jit_graph(json.loads(d), create_using=nx.DiGraph())
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40 assert nx.is_isomorphic(G, K)
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41
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42 def test_jit_multi_directed(self):
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43 G = nx.MultiDiGraph()
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44 G.add_node(1, node_data=3)
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45 G.add_node(3, node_data=0)
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46 G.add_edge(1, 2, weight=9, something=0)
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47 G.add_edge(2, 3, weight=4, something=3)
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48 G.add_edge(1, 2)
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49 pytest.raises(nx.NetworkXNotImplemented, jit_data, G)
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50
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51 H = nx.DiGraph(G)
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52 d = jit_data(H)
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53 K = jit_graph(json.loads(d), create_using=nx.MultiDiGraph())
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54 assert nx.is_isomorphic(H, K)
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55 K.add_edge(1, 2)
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56 assert not nx.is_isomorphic(H, K)
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57 assert nx.is_isomorphic(G, K)
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58
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59 def test_jit_round_trip(self):
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60 G = nx.Graph()
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61 d = nx.jit_data(G)
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62 H = jit_graph(json.loads(d))
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63 K = jit_graph(d)
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64 assert nx.is_isomorphic(H, K)