chore: import upstream snapshot with attribution
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#!/usr/bin/env python3
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"""
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pickle read / write tests
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"""
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import os
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import pickle
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import tempfile
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import easygraph as eg
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from easygraph.utils import edges_equal
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class TestPickle:
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@classmethod
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def setup_class(cls):
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cls.data = """*network Tralala\n*vertices 4\n 1 "A1" 0.0938 0.0896 ellipse x_fact 1 y_fact 1\n 2 "Bb" 0.8188 0.2458 ellipse x_fact 1 y_fact 1\n 3 "C" 0.3688 0.7792 ellipse x_fact 1\n 4 "D2" 0.9583 0.8563 ellipse x_fact 1\n*arcs\n1 1 1 h2 0 w 3 c Blue s 3 a1 -130 k1 0.6 a2 -130 k2 0.6 ap 0.5 l "Bezier loop" lc BlueViolet fos 20 lr 58 lp 0.3 la 360\n2 1 1 h2 0 a1 120 k1 1.3 a2 -120 k2 0.3 ap 25 l "Bezier arc" lphi 270 la 180 lr 19 lp 0.5\n1 2 1 h2 0 a1 40 k1 2.8 a2 30 k2 0.8 ap 25 l "Bezier arc" lphi 90 la 0 lp 0.65\n4 2 -1 h2 0 w 1 k1 -2 k2 250 ap 25 l "Circular arc" c Red lc OrangeRed\n3 4 1 p Dashed h2 0 w 2 c OliveGreen ap 25 l "Straight arc" lc PineGreen\n1 3 1 p Dashed h2 0 w 5 k1 -1 k2 -20 ap 25 l "Oval arc" c Brown lc Black\n3 3 -1 h1 6 w 1 h2 12 k1 -2 k2 -15 ap 0.5 l "Circular loop" c Red lc OrangeRed lphi 270 la 180"""
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cls.G = eg.MultiDiGraph()
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cls.G.add_nodes_from(["A1", "Bb", "C", "D2"])
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cls.G.add_edges_from(
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[
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("A1", "A1"),
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("A1", "Bb"),
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("A1", "C"),
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("Bb", "A1"),
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("C", "C"),
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("C", "D2"),
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("D2", "Bb"),
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]
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)
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cls.G.graph["name"] = "Tralala"
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(fd, cls.fname) = tempfile.mkstemp()
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with os.fdopen(fd, "wb") as fh:
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fh.write(pickle.dumps(cls.G))
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@classmethod
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def teardown_class(cls):
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os.unlink(cls.fname)
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def test_read_pickle(self):
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G = eg.read_pickle(self.fname)
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assert G.nodes == self.G.nodes
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assert G.edges == self.G.edges
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def test_write_pickle(self):
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G = eg.parse_pajek(self.data)
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eg.write_pickle(self.fname, G)
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Gin = eg.read_pickle(self.fname)
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assert sorted(G.nodes) == sorted(Gin.nodes)
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assert edges_equal(G.edges, Gin.edges)
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assert self.G.graph == Gin.graph
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