def test__generate2DGaussianDistributions_max_le_1(self):
xdim = 73
ydim = 71
dist = PatternedImage._generate2DGaussianDistribution((xdim, ydim))
maxval = max([max(row) for row in dist])
print("maxval = {}".format(maxval))
self.assertTrue(maxval <= 1.0)
def test__generate2DGaussianDistributions_min_ge_0(self):
xdim = 67
ydim = 71
dist = PatternedImage._generate2DGaussianDistribution((xdim, ydim))
minval = min([min(row) for row in dist])
print("minval = {}".format(minval))
self.assertTrue(minval >= 0.0)
def test__generate2DGaussianDistributions_size_y(self):
xdim = 6
ydim = 7
dist = PatternedImage._generate2DGaussianDistribution((xdim, ydim))
self.assertEqual(ydim, len(dist))
def test__generate2DGaussianDistributions_size_x(self):
xdim = 107
ydim = 103
dist = PatternedImage._generate2DGaussianDistribution((xdim, ydim))
self.assertEqual(xdim, len(dist[0]))