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# -*- coding: utf-8 -*-
# Copyright (c) Vispy Development Team. All Rights Reserved.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
import numpy as np
from numpy.testing import assert_allclose, assert_equal
from vispy.visuals.graphs.layouts import get_layout
from vispy.testing import (run_tests_if_main, assert_raises)
adjacency_mat = np.array([
[0, 1, 0, 0, 0, 0, 0, 0, 0, 0],
[1, 0, 0, 0, 1, 0, 1, 1, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 1, 0],
[0, 1, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 1, 0, 0, 0, 0, 0, 1],
[0, 0, 0, 0, 0, 0, 0, 0, 1, 0]
])
def test_get_layout():
from vispy.visuals.graphs.layouts.random import random
# Simple retrieval
assert_equal(random, get_layout('random'))
# Pass arguments
fruchterman_reingold = get_layout('force_directed', iterations=100)
assert_equal(fruchterman_reingold.iterations, 100)
# Check if layout exists
assert_raises(KeyError, get_layout, 'fdgdfgs_non_existent')
def test_random_layout():
layout = get_layout('random')
expected_pos = np.array([
[0.22270932715095826, 0.7728936927702302],
[0.6298054094517744, 0.21851589821484974],
[0.75002099889163, 0.5592076821676369],
[0.1786754307911973, 0.6442165368790972],
[0.5979199081208609, 0.615159318836822],
[0.46328431255222746, 0.3582897386994869],
[0.9595461883180398, 0.2350580044144016],
[0.094482942129406, 0.20584398882694932],
[0.5758593091748346, 0.8158957494444451],
[0.5908647616961652, 0.1584550825482285]
])
expected_vertices = np.array([
[0.22270932715095826, 0.7728936927702302],
[0.6298054094517744, 0.21851589821484974],
[0.6298054094517744, 0.21851589821484974],
[0.22270932715095826, 0.7728936927702302],
[0.6298054094517744, 0.21851589821484974],
[0.5979199081208609, 0.615159318836822],
[0.6298054094517744, 0.21851589821484974],
[0.9595461883180398, 0.2350580044144016],
[0.6298054094517744, 0.21851589821484974],
[0.094482942129406, 0.20584398882694932],
[0.1786754307911973, 0.6442165368790972],
[0.5758593091748346, 0.8158957494444451],
[0.5979199081208609, 0.615159318836822],
[0.6298054094517744, 0.21851589821484974],
[0.9595461883180398, 0.2350580044144016],
[0.6298054094517744, 0.21851589821484974],
[0.094482942129406, 0.20584398882694932],
[0.6298054094517744, 0.21851589821484974],
[0.5758593091748346, 0.8158957494444451],
[0.1786754307911973, 0.6442165368790972],
[0.5758593091748346, 0.8158957494444451],
[0.5908647616961652, 0.1584550825482285],
[0.5908647616961652, 0.1584550825482285],
[0.5758593091748346, 0.8158957494444451]
])
pos, line_vertices, arrows = next(layout(adjacency_mat,
random_state=0xDEADBEEF))
assert_allclose(pos, expected_pos, atol=1e-7)
assert_allclose(line_vertices, expected_vertices, atol=1e-7)
def test_circular_layout():
layout = get_layout('circular')
expected_pos = np.array([
[1.0, 0.5],
[0.9045084714889526, 0.7938926219940186],
[0.6545084714889526, 0.9755282402038574],
[0.3454914689064026, 0.9755282402038574],
[0.09549146890640259, 0.7938926219940186],
[0.0, 0.4999999701976776],
[0.09549152851104736, 0.20610731840133667],
[0.3454914689064026, 0.024471759796142578],
[0.6545085906982422, 0.024471759796142578],
[0.9045084714889526, 0.20610734820365906]
])
expected_vertices = np.array([
[1.0, 0.5],
[0.9045084714889526, 0.7938926219940186],
[0.9045084714889526, 0.7938926219940186],
[1.0, 0.5],
[0.9045084714889526, 0.7938926219940186],
[0.09549146890640259, 0.7938926219940186],
[0.9045084714889526, 0.7938926219940186],
[0.09549152851104736, 0.20610731840133667],
[0.9045084714889526, 0.7938926219940186],
[0.3454914689064026, 0.024471759796142578],
[0.3454914689064026, 0.9755282402038574],
[0.6545085906982422, 0.024471759796142578],
[0.09549146890640259, 0.7938926219940186],
[0.9045084714889526, 0.7938926219940186],
[0.09549152851104736, 0.20610731840133667],
[0.9045084714889526, 0.7938926219940186],
[0.3454914689064026, 0.024471759796142578],
[0.9045084714889526, 0.7938926219940186],
[0.6545085906982422, 0.024471759796142578],
[0.3454914689064026, 0.9755282402038574],
[0.6545085906982422, 0.024471759796142578],
[0.9045084714889526, 0.20610734820365906],
[0.9045084714889526, 0.20610734820365906],
[0.6545085906982422, 0.024471759796142578]
])
pos, line_vertices, arrows = next(layout(adjacency_mat))
assert_allclose(pos, expected_pos, atol=1e-4)
assert_allclose(line_vertices, expected_vertices, atol=1e-4)
run_tests_if_main()
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