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():
