def test_distance_search_space_infill_should_return_10_samples_from_test_samples(test_samples, know_points):
[x, y] = test_samples
[A, Apf] = know_points
n = 10
every_point_is_from_sample = False
for returned_sample in infill_methods.distance_search_space(n, x, y, [], A, Apf)['X'] :
for X in x :
every_point_is_from_sample = np.array_equal(returned_sample, X)
if(every_point_is_from_sample): break
if(not every_point_is_from_sample): break
assert(every_point_is_from_sample)
def test_distance_search_space_infill_should_return_5_best_samples(test_samples, know_points, five_farthest_points):
[x, y] = test_samples
[A, Apf] = know_points
[X_far, Y_far] = five_farthest_points
x = np.append(x, X_far, axis=0)
y= np.append(y, Y_far, axis=0)
n = 5
every_point_is_from_sample = False
for returned_sample in infill_methods.distance_search_space(n, x, y, [], A, Apf)['X'] :
for X in X_far :
every_point_is_from_sample = np.array_equal(returned_sample, X)
if(every_point_is_from_sample): break
if(not every_point_is_from_sample): break
assert(every_point_is_from_sample)
def test_distance_search_space_infill_should_return_30_samples(test_samples, know_points): [x, y] =test_samples [A, Apf] = know_points n = 30 assert(len(infill_methods.distance_search_space(n, x, y, [], A, Apf)['X'])==30)
def test_distance_search_space_infill_should_return_dict_with_X_F_G(variable_name, test_samples, know_points): [x, y] =test_samples [A, Apf] = know_points n = 10 assert(variable_name in infill_methods.distance_search_space(n, x, y, [], A, Apf))
def test_distance_search_space_infill_should_return_a_dict(test_samples, know_points): [x, y] =test_samples [A, Apf] = know_points n = 10 assert (type(infill_methods.distance_search_space(n, x, y, [], A, Apf)) is dict )