Python dirichlet Examples

Example #1

 def produce_parameter(self, random):
     n = len(self.element_strategies)
     return self.Parameter(
         chooser=chooser(
             dirichlet(random, [1.0 / n] * n)),
         child_parameters=[
             s.draw_parameter(random) for s in self.element_strategies]
     )

Example #2

File: test_distributions.py Project: kbara/hypothesis

def test_single_dirichlet_is_always_one():
    assert dist.dirichlet(random, [11]) == [1.0]

Example #3

File: misc.py Project: itkovian/hypothesis

 def produce_parameter(self, random):
     n = len(self.elements)
     if n == 1:
         return
     return chooser(dist.dirichlet(random, [sqrt(n)] * n))

Example #4

File: test_distributions.py Project: kbara/hypothesis

def test_zeros_in_dirichlet_are_invalid():
    with pytest.raises(InvalidArgument):
        dist.dirichlet(random, [0.0, 1.0])

Example #5

File: test_distributions.py Project: kbara/hypothesis

def test_dirichlet_biases_towaards_weights():
    t = dist.dirichlet(random, [10000000000, 1, 1])
    assert t[0] >= 0.8

Example #6

File: test_distributions.py Project: kbara/hypothesis

def test_empty_dirichlet_is_invalid():
    with pytest.raises(InvalidArgument):
        dist.dirichlet(random, [])

Example #7

File: test_distributions.py Project: itkovian/hypothesis

def test_single_dirichlet_is_always_one():
    assert dist.dirichlet(random, [11]) == [1.0]

Example #8

File: test_distributions.py Project: itkovian/hypothesis

def test_dirichlet_biases_towaards_weights():
    t = dist.dirichlet(random, [10000000000, 1, 1])
    assert t[0] >= 0.8

Example #9

File: test_distributions.py Project: itkovian/hypothesis

def test_zeros_in_dirichlet_are_invalid():
    with pytest.raises(InvalidArgument):
        dist.dirichlet(random, [0.0, 1.0])

Example #10

File: test_distributions.py Project: itkovian/hypothesis

def test_empty_dirichlet_is_invalid():
    with pytest.raises(InvalidArgument):
        dist.dirichlet(random, [])