def test_init9():
outcomes = [(0,), (1,)]
pmf = [1 / 2] * 2
d1 = ScalarDistribution(pmf)
d2 = Distribution.from_distribution(d1, base=10)
d3 = Distribution(outcomes, pmf)
d3.set_base(10)
assert d2.is_approx_equal(d3)
def test_init9():
outcomes = [(0,), (1,)]
pmf = [1/2, 1/2]
d1 = ScalarDistribution(pmf)
d2 = Distribution.from_distribution(d1, base=10)
d3 = Distribution(outcomes, pmf)
d3.set_base(10)
assert_true(d2.is_approx_equal(d3))
def test_copy():
outcomes = ['0', '1']
pmf = [1 / 2] * 2
d1 = Distribution(outcomes, pmf)
d2 = d1.copy(base=10)
d3 = Distribution(outcomes, pmf)
d3.set_base(10)
assert d2.is_approx_equal(d3)
def test_copy():
outcomes = ['0', '1']
pmf = [1/2, 1/2]
d1 = Distribution(outcomes, pmf)
d2 = d1.copy(base=10)
d3 = Distribution(outcomes, pmf)
d3.set_base(10)
assert_true(d2.is_approx_equal(d3))
