def test_it_should_only_return_an_array_of_strings_containing_only_1_and_0(): asserted_pool = seeding.pool(8, range(255), 64) for asserted_string in asserted_pool: for i in asserted_string: assert (i == "1" or i == "0")
from genetic_algorithms_py import seeding from genetic_algorithms_py import reproduction from genetic_algorithms_py import crossover black_box = lambda x, y: y + x ** 2 params = { "objective_function": black_box, "pool": seeding.pool(8, range(255), 2), "constraint_range": range(-6, 6), "pool_size": 8, "number_of_variables": 2, "carry_over": 2, "max": True, "function_name": "NoseTests", "crossover_rate": 0.7, } def test_it_should_return_an_array_of_size_2(): params["pool"] = reproduction.reproduce(params) asserted_pool = crossover.crossover(params) assert len(asserted_pool) >= 2 def test_it_should_return_an_array_of_strings(): params["pool"] = reproduction.reproduce(params) asserted_pool = crossover.crossover(params) for asserted in asserted_pool: assert isinstance(asserted, str)
def test_it_should_return_an_array_of_string(): asserted_pool = seeding.pool(8, range(255), 1) assert len(asserted_pool) == 8
import itertools from genetic_algorithms_py import seeding from genetic_algorithms_py import reproduction black_box = (lambda x, y: y + x ** 2) params = {'objective_function': black_box, 'pool': seeding.pool(8, range(255), 2), 'pool_size': 64, "constraint_range": range(-6, 6), 'number_of_variables': 2, 'max': True, 'function_name': 'NoseTests', 'carry_over': 2} def test_it_should_return_an_array_of_strings(): asserted_pool = reproduction.reproduce(params) for asserted in asserted_pool: assert isinstance(asserted, str) def test_it_should_return_an_array_of_strings_of_length_8(): params['carry_over'] = 32 for i in range(10): asserted_pool = reproduction.reproduce(params) assert len(asserted_pool) == 32 # Testing private methods NB: Wouldn't normally keep these def test__build_dictionary_should_return_a_collection_of_size_8():