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_
