def test_mostly_mixed(self):
mostly_black_to_black = analysis.log_likelihood(self.mixed_partition,
self.black_group,
self.mostly_black_id)
mostly_black_to_white = analysis.log_likelihood(self.mixed_partition,
self.white_group,
self.mostly_black_id)
mostly_white_to_white = analysis.log_likelihood(self.mixed_partition,
self.white_group,
self.mostly_white_id)
mostly_white_to_black = analysis.log_likelihood(self.mixed_partition,
self.black_group,
self.mostly_white_id)
assert_approx_equal(mostly_black_to_black, mostly_white_to_white)
assert_approx_equal(mostly_black_to_white, mostly_white_to_black)
self.assertTrue(mostly_black_to_black > mostly_black_to_white)
def test_solid_images_uniform(self):
black_to_black = analysis.log_likelihood(self.uniform_partition,
self.black_group,
self.black_id)
black_to_white = analysis.log_likelihood(self.uniform_partition,
self.white_group,
self.black_id)
white_to_white = analysis.log_likelihood(self.uniform_partition,
self.white_group,
self.white_id)
white_to_black = analysis.log_likelihood(self.uniform_partition,
self.black_group,
self.white_id)
assert_approx_equal(black_to_black, white_to_white)
assert_approx_equal(black_to_white, white_to_black)
self.assertTrue(black_to_black > black_to_white)
def test_grey_images_mixed(self):
light_grey_to_black = analysis.log_likelihood(self.mixed_partition,
self.black_group,
self.light_grey_id)
light_grey_to_white = analysis.log_likelihood(self.mixed_partition,
self.white_group,
self.light_grey_id)
dark_grey_to_white = analysis.log_likelihood(self.mixed_partition,
self.white_group,
self.dark_grey_id)
dark_grey_to_black = analysis.log_likelihood(self.mixed_partition,
self.black_group,
self.dark_grey_id)
assert_approx_equal(light_grey_to_black, dark_grey_to_white, significant=5)
assert_approx_equal(light_grey_to_white, dark_grey_to_black, significant=5)
self.assertTrue(light_grey_to_white > light_grey_to_black)