def setup_functions(self):
self.dict[
constants.
DNA_SIZE_STR] = lambda list_input: ng.generate_gaussian_integers(
list_input[0], list_input[1], list_input[2], list_input[3],
list_input[4])
self.dict[
constants.
DNA_ACTIONS_STR] = lambda list_input: ng.generate_n_uniform_random_integers(
list_input[0], list_input[1], list_input[2])
self.dict[
constants.
DNA_FEATURES_STR] = lambda list_input: ng.generate_n_uniform_random_integers(
list_input[0], list_input[1], list_input[2])
self.dict[
constants.
DNA_WEIGHTS_STR] = lambda list_input: ng.generate_n_uniform_random_values(
list_input[0])
self.dict[
constants.
DNA_PARENTHESES_STR] = lambda list_input: ng.generate_n_uniform_random_integers(
list_input[0], list_input[1], list_input[2])
self.dict[
constants.DNA_WL_SCALAR] = lambda list_input: ng.generate_gaussian(
list_input[0], list_input[1], list_input[2])
self.dict[
constants.DNA_WL_POWER] = lambda list_input: ng.generate_gaussian(
list_input[0], list_input[1], list_input[2])
self.dict[
constants.
DNA_PARENTHESES_BIAS] = lambda list_input: ng.generate_gaussian(
list_input[0], list_input[1], list_input[2])
self.dict[
constants.
DNA_WL_ACTIVATION] = lambda list_input: ng.generate_non_uniform_integers(
list_input[0], list_input[1], list_input[2])
self.dict[
constants.
DNA_PARENTHESES_ACTIVATION] = lambda list_input: ng.generate_non_uniform_integers(
list_input[0], list_input[1], list_input[2])
self.dict[
constants.DNA_WL_BIAS] = lambda list_input: ng.generate_gaussian(
list_input[0], list_input[1], list_input[2])
self.dict[
constants.
DNA_PARENTHESES_POWER] = lambda list_input: ng.generate_gaussian(
list_input[0], list_input[1], list_input[2])
def sample_parentheses_bias(mu, sigma):
return ng.generate_gaussian(mu=mu, sigma=sigma, size=1)[0]
def create_parentheses_bias_vector(mu, sigma, size):
return ng.generate_gaussian(mu=mu, sigma=sigma, size=size)
def sample_wl_powers(mu, sigma):
return ng.generate_gaussian(mu=mu, sigma=sigma, size=1)[0]
def create_wl_powers_vector(mu, sigma, size):
return ng.generate_gaussian(mu=mu, sigma=sigma, size=size)
def test_generate_gaussian(mu, sigma, size):
result = ng.generate_gaussian(mu=mu, sigma=sigma, size=size)
assert (len(result) == size)