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#
# This file is part of the Connection-Set Algebra (CSA).
# Copyright (C) 2010,2011,2012 Mikael Djurfeldt
#
# CSA is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3 of the License, or
# (at your option) any later version.
#
# CSA is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
import sys
import numpy
from csa import *
import unittest
import sys
if sys.version < '3.4':
from contextlib import contextmanager
@contextmanager
def redirect_stdout(stream):
old_stdout = sys.stdout
sys.stdout = stream
try:
yield
finally:
sys.stdout = old_stdout
else:
from contextlib import redirect_stdout
from io import StringIO
class TestCSA(unittest.TestCase):
def assertEqualCS (self, cs, ls, msg):
self.assertEqual ([x for x in cs], ls, msg)
def assertEqual4x4 (self, cs, ls, msg):
self.assertEqualCS (cross ((0, 3), (0, 3)) * cs, ls, msg)
def assertEqual30x30 (self, cs, ls, msg):
self.assertEqualCS (cross ((0, 29), (0, 29)) * cs, ls, msg)
def sampleN (self, func, dims, N):
data = numpy.zeros ((N,) + dims)
for k in range (N):
data[k] = func ()
return numpy.mean (data, 0)
class TestElementary (TestCSA):
# Only use setUp() and tearDown() if necessary
#def setUp(self):
# ... code to execute in preparation for tests ...
#def tearDown(self):
# ... code to execute to clean up after tests ...
def test_list (self):
# Test list cs
self.assertEqual30x30 ([(22,7),(8,23)],
[(22,7),(8,23)],
'list cs')
def test_range (self):
# Test range
self.assertEqual30x30 (cross (range (10), range (10, 20, 3)),
[(i, j) for j in range (10, 20, 3) for i in range (10)],
'xrange specified interval set mask')
def test_full (self):
# Test full cs
self.assertEqualCS (cross ((0, 7), (8, 15)) * full,
[(i, j) for j in range (8, 16) for i in range (0, 8)],
'finite piece of full connection-set bogus')
def test_oneToOne (self):
# Test oneToOne cs
self.assertEqualCS (cross ((0, 7), (1, 8)) * oneToOne,
[(i, i) for i in range (1, 8)],
'finite piece of oneToOne connection-set bogus')
def test_tabulate (self):
# Test tabulate
if sys.version < '2.6': #*fixme*
return
s = StringIO()
with redirect_stdout(s):
tabulate (cross ((0, 3), (0, 3)) * oneToOne)
self.assertEqual (s.getvalue (),
'0 \t0\n1 \t1\n2 \t2\n3 \t3\n',
'tabulate malfunctioning')
def test_gaussnet (self):
e = ival (0, 19)
i = ival (20, 29)
a = e + i
g = random2d (900)
d = euclidMetric2d (g)
g_e = gaussian (0.1, 0.3) * d
g_i = gaussian (0.2, 0.3) * d
c_e = cset (random * g_e, g_e)
c_i = cset (random * g_i, -g_i)
c = cross (e, a) * c_e + cross (i, a) * c_i
self.assertTrue (cross (N, 0) * c)
self.assertFalse (cross (N, 100) * c)
for (i, j, g) in cross (i, a) * c:
self.assertTrue (g < 0.0)
def partitionRandomN (self):
K = self.K
N = 3 * K
R = (0, N - 1)
R0 = (0, K - 1)
R2 = (2 * K, 3 * K - 1)
c = random (N = N) * cross (R, R)
c0 = partition (c, [cross (R, R0), cross (R, R2)], 0)
c1 = partition (c, [cross (R, R0), cross (R, R2)], 1)
c2 = transpose * partition (c, [cross (R0, R), cross (R2, R)], 0)
c3 = transpose * partition (c, [cross (R0, R), cross (R2, R)], 1)
res = numpy.zeros ((4 * N, K))
row = 0
for (c, offset) in [(c0, 0), (c1, 2 * K), (c2, 0), (c3, 2 * K)]:
a = numpy.zeros ((N, K))
for (i, j) in c:
j -= offset
if 0 <= i < N and 0 <= j < K:
a[i, j] = 1
else:
self.fail ('connection outside mask')
res[row:row + N, :] = a
row += N
return 2.0 * K * res # normalization
def test_partitionRandomN (self):
self.K = 5
for _ in range(1000):
res = self.partitionRandomN()
self.assertEqual (res.min(), 0.)
self.assertEqual (res.max(), self.K*2.)
self.assertEqual (res.shape, (self.K*12, self.K))
self.assertTrue ((res.sum() <= self.K**2*12))
self.assertFalse (numpy.any((res != 0.) & (res != self.K*2.)))
def intersectionRandomN (self):
K = self.K
N = 3 * K
R = (0, N - 1)
R0 = (0, K - 1)
R2 = (2 * K, 3 * K - 1)
c = random (N = N) * cross (R, R)
c0 = cross (R, [R0, R2]) * c
c1 = transpose * (cross ([R0, R2], R) * c)
res = numpy.zeros ((2 * N, 2 * K))
row = 0
for c in [c0, c1]:
a = numpy.zeros ((N, 2 * K))
for (i, j) in c:
if 0 <= i < N and 0 <= j < K:
a[i, j] = 1
elif 0 <= i < N and 2 * K <= j < 3 * K:
a[i, j - K] = 1
else:
self.fail ('connection outside mask')
res[row:row + N, :] = a
row += N
return N * res # normalization
def test_intersectionRandomN (self):
self.K = 5
res = self.sampleN (self.intersectionRandomN, (6 * self.K, 2 * self.K), 1000)
for x in res.flatten ():
self.assertAlmostEqual (x, 1.0, 0, 'maybe wrong statistics %g != 1.' % x)
class TestOperators (TestCSA):
def test_difference (self):
# Test difference
self.assertEqual4x4 (full - oneToOne,
[(i, j) for j in range (0,4) for i in range (0,4) if i != j],
'difference operator')
def main():
suite = unittest.TestLoader().loadTestsFromTestCase(TestElementary,
TestOperators)
unittest.TextTestRunner(verbosity=verbosity).run(suite)
if __name__ == '__main__':
main()
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