def test_normal_means_should_be_farther_apart_if_they_have_higer_separation(self):
		random.seed(0)	
		closer = sdg.generate_separated_model_parameters('continuous',
			.1, 2, self.get_next_seed )

		sum_std_close = closer[0]['rho']**(-.5) + closer[1]['rho']**(-.5)
		distance_close = ((closer[0]['mu']-closer[1]['mu'])/sum_std_close)**2.0

		random.seed(0)
		farther = sdg.generate_separated_model_parameters('continuous',
			.5, 2, self.get_next_seed )

		sum_std_far = farther[0]['rho']**(-.5) + farther[1]['rho']**(-.5)
		distance_far = ((farther[0]['mu']-farther[1]['mu'])/sum_std_far)**2.0

		random.seed(0)
		farthest = sdg.generate_separated_model_parameters('continuous',
			1.0, 2, self.get_next_seed )

		sum_std_farthest = farthest[0]['rho']**(-.5) + farthest[1]['rho']**(-.5)
		distance_farthest = ((farthest[0]['mu']-farthest[1]['mu'])/sum_std_farthest)**2.0

		assert distance_far  > distance_close
		assert distance_farthest  > distance_far
dataset/ETHPy150Open probcomp/crosscat/src/tests/unit_tests/test_synthetic_data_generator.py/TestGenerateGeparatedGodelParameters.test_normal_means_should_be_farther_apart_if_they_have_higer_separation/original