def test_to_string10(): # Basic d = ScalarDistribution([], sample_space=[0, 1], validate=False) s = d.to_string() s_ = """Class: ScalarDistribution Alphabet: (0, 1) Base: 2 x log p(x)""" assert_equal(s, s_)
def test_to_string10(): # Basic d = ScalarDistribution([], sample_space=[0, 1], validate=False) s = d.to_string() s_ = """Class: ScalarDistribution Alphabet: (0, 1) Base: 2 x log p(x)""" assert s == s_
def test_to_string7(): # Basic outcomes = ['00', '01', '10', '11'] pmf = [1/4]*4 d = ScalarDistribution(outcomes, pmf) s = d.to_string() s_ = """Class: ScalarDistribution Alphabet: ('00', '01', '10', '11') Base: linear x p(x) 00 0.25 01 0.25 10 0.25 11 0.25""" assert_equal(s, s_)
def test_to_string7(): # Basic outcomes = ['00', '01', '10', '11'] pmf = [1/4]*4 d = ScalarDistribution(outcomes, pmf) s = d.to_string() s_ = """Class: ScalarDistribution Alphabet: ('00', '01', '10', '11') Base: linear x p(x) 00 0.25 01 0.25 10 0.25 11 0.25""" assert s == s_