def test_return_values(self):
out = draw(self.cdf)
assert_(out in range(self.n))
size = 10
out = draw(self.cdf, size)
assert_(np.isin(out, range(self.n)).all())
def test_return_types(self):
out = draw(self.cdf)
assert_(isinstance(out, numbers.Integral))
size = 10
out = draw(self.cdf, size)
assert_(out.shape == (size,))
def test_return_values(self):
out = draw(self.cdf)
ok_(out in range(self.n))
size = 10
out = draw(self.cdf, size)
ok_(np.isin(out, range(self.n)).all())
def test_return_types(self):
out = draw(self.cdf)
ok_(isinstance(out, numbers.Integral))
size = 10
out = draw(self.cdf, size)
eq_(out.shape, (size,))
def test_lln(self):
size = 1000000
out = draw(self.cdf, size)
hist, bin_edges = np.histogram(out, bins=self.n, density=True)
pmf_computed = hist * np.diff(bin_edges)
atol = 1e-2
assert_allclose(pmf_computed, self.pmf, atol=atol)
def test_lln(self):
size = 1000000
out = draw(self.cdf, size)
hist, bin_edges = np.histogram(out, bins=self.n, density=True)
pmf_computed = hist * np.diff(bin_edges)
atol = 1e-2
assert_allclose(pmf_computed, self.pmf, atol=atol)