def test_generate_matrix_of_points_in_cube(self):
"""Test generate matrix of points in cube."""
num_of_points = 20
side_length = 100
gen = generate_matrix_of_points_in_cube(center=matrix([0, 0, 0]),
side_length=side_length,
num_of_points=num_of_points)
for i in range(20):
points = next(gen)
assert (num_of_points, 3) == points.shape
assert (points < (side_length / 2)).all()
assert (points > (-side_length / 2)).all()
# Load parameters configuration
# error introduced
# inertial weight
# cognition
# social
# number of particles
# max particle velocity
# interations per particle
# log_config = "examples/benchmark_1.config1.json"
params = data['parameters']
# Load space where happen the simulation
center = matrix(data['space']['center'])
side_length = data['space']['side_length']
base_generator = generate_matrix_of_points_in_cube(center=center,
side_length=side_length,
num_of_points=4)
point_generator = generate_matrix_of_points_in_cube(center=center,
side_length=side_length,
num_of_points=1)
base = next(base_generator)
point = next(point_generator)
random_generator = Random()
# Load logging configuration
log_config = "examples/benchmark_1.log.json"
with open(log_config) as data_file:
data = json.load(data_file)
logging.config.dictConfig(data)
# Load parameters configuration
# error introduced
# inertial weight
# cognition
# social
# number of particles
# max particle velocity
# interations per particle
# log_config = "examples/benchmark_1.config1.json"
params = data['parameters']
# Load space where happen the simulation
center = matrix(data['space']['center'])
side_length = data['space']['side_length']
base_generator = generate_matrix_of_points_in_cube(
center=center, side_length=side_length, num_of_points=4)
point_generator = generate_matrix_of_points_in_cube(
center=center, side_length=side_length, num_of_points=1)
base = next(base_generator)
point = next(point_generator)
random_generator = Random()
# Load logging configuration
log_config = "examples/benchmark_1.log.json"
with open(log_config) as data_file:
data = json.load(data_file)
logging.config.dictConfig(data)
logger = logging.getLogger("benchmark")
