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test_classroom.py
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test_classroom.py
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#-*- coding: utf-8 -*-
"""
@brief test log(time=4s)
"""
import sys
import os
import unittest
try:
import src
except ImportError:
path = os.path.normpath(
os.path.abspath(
os.path.join(
os.path.split(__file__)[0],
"..",
"..")))
if path not in sys.path:
sys.path.append(path)
import src
try:
import pyquickhelper as skip_
except ImportError:
path = os.path.normpath(
os.path.abspath(
os.path.join(
os.path.split(__file__)[0],
"..",
"..",
"..",
"pyquickhelper",
"src")))
if path not in sys.path:
sys.path.append(path)
import pyquickhelper as skip_
from pyquickhelper.loghelper import fLOG
from pyquickhelper.pycode import get_temp_folder, fix_tkinter_issues_virtualenv
from src.code_beatrix.algorithm.data import load_prenoms_w
from src.code_beatrix.algorithm.classroom import random_positions, plot_positions, optimize_positions, find_best_positions_greedy, measure_positions
class TestClassRoom(unittest.TestCase):
def test_names(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
names = load_prenoms_w()
self.assertEqual(len(names), 50)
def _test_random_position(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
positions = random_positions(24)
self.assertEqual(len(positions), 24)
temp = get_temp_folder(__file__, "temp_random_position")
fix_tkinter_issues_virtualenv()
import matplotlib.pyplot as plt
fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(8, 8))
plot_positions(positions, ax=ax)
assert ax is not None
img = os.path.join(temp, "img.png")
fig.savefig(img)
assert os.path.exists(img)
if __name__ == "__main__":
fig.show()
plt.close('all')
fLOG("end")
def test_find_greedy(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
positions = [('Warren', 0, 0), ('Wallerand', 0, 1), ('Walfroy', 0, 2), ('Walfrid', 0, 3),
('Waldy', 0, 4), ('Weltaz', 1,
0), ('Wendy', 1, 1), ('Wilbrord', 1, 2),
('Werburge', 1, 3), ('Wandy', 1,
4), ('Walburge', 2, 0), ('Walder', 2, 1),
('Wafaa', 2, 2), ('Waldemar', 2,
3), ('Waudru', 2, 4), ('Walter', 3, 0),
('Wilfrid', 3, 1), ('Werner', 3,
2), ('Wandrille', 3, 3), ('Walther', 3, 4),
('Wilbert', 4, 0), ('Wenceslas', 4, 1), ('Waast', 4, 2), ('Wanda', 4, 3)]
names = list(name for name, x, y in positions)
names.sort()
edges = [(names[0], names[1]), (names[0], names[2]), (names[0], names[3]),
(names[3], names[4]), (names[3], names[5]), (names[0], names[6])]
edges_dict = {}
for name1, name2 in edges:
if name1 in edges_dict:
edges_dict[name1].append(name2)
else:
edges_dict[name1] = [name2]
if name2 in edges_dict:
edges_dict[name2].append(name1)
else:
edges_dict[name2] = [name1]
positions = {k: (x, y) for k, x, y in positions}
edges_dict = {k: set(v) for k, v in edges_dict.items()}
res = find_best_positions_greedy(positions, edges_dict, names[0])
d0 = measure_positions(positions, edges)
d0_ = measure_positions(positions, edges_dict)
assert abs(d0 - d0_) < 1e-5
delta, pos = res[0]
rev = {v: k for k, v in positions.items()}
current_name = rev[pos]
c = positions.copy()
p0 = positions[names[0]]
p = positions[current_name]
positions[current_name] = p0
positions[names[0]] = p
d1 = measure_positions(positions, edges)
fLOG("d1", d1)
assert c != positions
assert abs(d1 - d0 - delta) < 1e-5
def test_optimize_position(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
positions = random_positions(24)
names = list(name for name, x, y in positions)
names.sort()
edges = [(names[0], names[1]), (names[0], names[2]), (names[0], names[3]),
(names[3], names[4]), (names[3], names[5]), (names[0], names[6])]
if __name__ == "__main__":
temp = get_temp_folder(__file__, "temp_optimization")
new_positions, iter = optimize_positions(
positions, edges, fLOG=fLOG, max_iter=20, plot_folder=temp)
for i in iter:
fLOG(i)
positions = [(k, ) + v for k, v in new_positions.items()]
fix_tkinter_issues_virtualenv()
import matplotlib.pyplot as plt
fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(8, 8))
plot_positions(positions, edges=edges, ax=ax)
assert ax is not None
img = os.path.join(temp, "img.png")
fig.savefig(img)
assert os.path.exists(img)
if __name__ == "__main__":
fig.show()
plt.close('all')
fLOG("end")
else:
new_positions, iter = optimize_positions(
positions, edges, fLOG=fLOG, max_iter=20)
for i in iter:
fLOG(i)
assert iter
assert new_positions
if __name__ == "__main__":
unittest.main()