Exemplo n.º 1
0
def test_paramset_separator():
    ps = ParameterSet()
    ps.add_parameters(p1=[1, 2], p2=["a", "b"])
    ps.add_separator(p3="param")
    ps.add_parameters(p1=3)

    assert_equal(len(ps), 6)
    for i, param_dict in ps:
        assert_equal(param_dict["p3"], "param")
        if i < 4:
            assert_in(param_dict["p1"], [1, 2])
        else:
            assert_equal(param_dict["p1"], 3)

    ps.add_parameters(p2="c")
    assert_equal(len(ps), 9)
    count = 0
    for i, param_dict in ps:
        assert_equal(param_dict["p3"], "param")
        if i < 4:
            assert_in(param_dict["p1"], [1, 2])
            assert_in(param_dict["p2"], ["a", "b"])
        if param_dict["p1"] == 3 and param_dict["p2"] == "c":
            count += 1

    assert_equal(count, 1)

    assert_raises(ValueError, ps.add_parameters, p4=10)
Exemplo n.º 2
0
def test_paramset_getitem():
    ps = ParameterSet()
    ps.add_parameters(p1=[1, 2], p2=["a", "b"])
    ps.add_separator(p3="param")
    ps.add_parameters(p1=3, p2="c")

    for i, param_dict in ps:
        assert_equal(param_dict, ps[i])
Exemplo n.º 3
0
def test_paramset_get_indices_with():
    ps = ParameterSet()
    ps.add_parameters(p1=[1, 2], p2=["a", "b"])
    ps.add_separator(p3="param")
    ps.add_parameters(p1=3, p2="c")

    for index in ps.get_indices_with(p1={3}):
        assert_less(3, index)  # 0,1,2,3 --> [1,2] x [a,b]
        assert_equal(ps[index]["p1"], 3)

    assert_equal(len(list(ps.get_indices_with(p1={4}))), 0)
Exemplo n.º 4
0
    def run(self, result, x, z, w, y=2, n=0, **parameters):
        import time
        from random import randint, normalvariate

        result["multiply"] = x * y
        # Simulate the effect of the new parameter: in this case we add
        # some gaussian noise to the computation of the sum
        result["sum"] = z + w + normalvariate(0, n)
        time.sleep(randint(1, 10))


if __name__ == "__main__":
    set_stdout_logging()

    parser = CTParser()

    environment, _ = parser.parse()

    param_set = ParameterSet()
    param_set.add_parameters(x=[1, 2, 3], z=4, w=[5, 6])

    # Add the separator, the default value for what was computed previously and
    # the new parameter values
    # -- Separator (compare this to `004_adding_parameter_values.py`)
    param_set.add_separator(n=0)  # Notice we pass the default value
    # -- new parameter values
    param_set.add_parameters(n=[0.01, 0.001])

    experiment = Experiment("BasicUsage", param_set, MyComputation)
    environment.run(experiment)
Exemplo n.º 5
0
    """
    def run(self, result, x, z, w, y=2, **parameters):
        import time
        from random import randint

        result["multiply"] = x * y
        result["sum"] = z + w
        time.sleep(randint(1, 10))


if __name__ == "__main__":
    set_stdout_logging()

    parser = CTParser()

    environment, _ = parser.parse()

    param_set = ParameterSet()
    param_set.add_parameters(x=[1, 2, 3], z=4, w=[5, 6])

    # Add the separator and the new parameter values
    # -- Separator
    param_set.add_separator()
    # -- new parameter values
    param_set.add_parameters(x=4)
    # you could also have added several values at once with:
    # param_set.add_parameters(x=[4, 5]) for instance

    experiment = Experiment("BasicUsage", param_set, MyComputation)
    environment.run(experiment)