def test_addition(self):
landscape_point1 = LandscapePosition(self.objective_function, self.coordinates1)
landscape_point2 = LandscapePosition(self.objective_function, self.coordinates2)
expected = LandscapePosition(self.objective_function, self.coordinates2)
assert expected == (landscape_point1 + landscape_point2)
def test_distance2_J1(self):
landscape_point1 = LandscapePosition(self.objective_function,
self.coordinates2)
landscape_point2 = LandscapePosition(self.objective_function,
self.coordinates1)
assert_almost_equals(2.0, landscape_point1.distance2(landscape_point2))
def test_LandscapePosition_with_J1_matrix(self):
expected_values = [[
6.671280296717448e-05, 0.004156270134668844, -0.2449540405743497,
-0.02975999770667323, -5.864187872589536e-06
],
[
-0.0004517936594085711, 0.3265409898164098,
-5.680276001896266, -0.4404918548935705,
0.003599520786098113
],
[
-0.03650620461319554, -2.773610019456342,
0.9810118431238463, 3.269463326439044,
0.03312494992430833
],
[
-0.003078234252739988, 0.4784411467828077,
7.996620241631349, 1.185275846660814,
0.0044245231361739
],
[
3.223535961269275e-05, 0.0311759440751708,
0.2998710282262348, 0.03200763718576478,
4.102972745826762e-05
]]
for i in range(5):
for j in range(5):
coord = Coordinates([-3.0 + i * 1.5, -3.0 + j * 1.5])
landscape_point = LandscapePosition(self.objective_function,
coord)
assert_almost_equals(
expected_values[j][i],
landscape_point.evaluate_objective_function())
def setUp(self):
self.gso_parameters = GSOParameters()
self.objective_function = J1()
self.landscape_position1 = LandscapePosition(self.objective_function,
Coordinates([0.0, 0.0]))
self.landscape_position2 = LandscapePosition(self.objective_function,
Coordinates([1.0, 1.0]))
self.positions = [[self.landscape_position1, self.landscape_position2]]
def test_multiply_by_scalar(self):
landscape_point1 = LandscapePosition(self.objective_function,
self.coordinates2)
expected = LandscapePosition(self.objective_function,
self.coordinates4)
assert expected == (landscape_point1 * 2.0)
def test_self_addition_and_assigment(self):
landscape_point1 = LandscapePosition(self.objective_function, self.coordinates2)
expected = LandscapePosition(self.objective_function, self.coordinates4)
landscape_point1 += landscape_point1
assert expected == landscape_point1
def test_subtraction_and_assigment(self):
landscape_point1 = LandscapePosition(self.objective_function, self.coordinates1)
landscape_point2 = LandscapePosition(self.objective_function, self.coordinates2)
expected = LandscapePosition(self.objective_function, self.coordinates5)
landscape_point1 -= landscape_point2
assert expected == landscape_point1
def test_equals(self):
landscape_point1 = LandscapePosition(self.objective_function, self.coordinates1)
landscape_point2 = LandscapePosition(self.objective_function, self.coordinates2)
landscape_point3 = LandscapePosition(self.objective_function, self.coordinates2)
assert not landscape_point1 == landscape_point2
assert landscape_point2 == landscape_point3
assert landscape_point1 != landscape_point2
assert not landscape_point2 != landscape_point3
def setUp(self):
self.gso_parameters = GSOParameters()
self.objective_function = J1()
self.landscape_position1 = [
LandscapePosition(self.objective_function, Coordinates([0.0, 0.0]))
]
self.landscape_position2 = [
LandscapePosition(self.objective_function, Coordinates([1.0, 1.0]))
]
self.landscape_position3 = [
LandscapePosition(self.objective_function, Coordinates([2.0, 2.0]))
]
self.landscape_position4 = [
LandscapePosition(self.objective_function, Coordinates([0.5, 0.5]))
]
self.landscape_position5 = [
LandscapePosition(self.objective_function, Coordinates([5.0, 5.0]))
]
self.landscape_position6 = [
LandscapePosition(self.objective_function, Coordinates([0.0, 1.0]))
]
self.landscape_position7 = [
LandscapePosition(self.objective_function, Coordinates([0.1, 0.0]))
]
self.landscape_position8 = [
LandscapePosition(self.objective_function, Coordinates([0.0, 0.1]))
]
self.landscape_position9 = [
LandscapePosition(self.objective_function, Coordinates([0.2, 0.0]))
]
def test_clone(self):
landscape_point1 = LandscapePosition(self.objective_function, self.coordinates1)
landscape_point2 = landscape_point1.clone()
expected = LandscapePosition(self.objective_function, self.coordinates1)
assert expected == landscape_point2
landscape_point2.coordinates[0] = 1.0
assert landscape_point1 != landscape_point2
def test_LandscapePosition_with_J1_matrix(self):
expected_values = [
[6.671280296717448e-05, 0.004156270134668844, -0.2449540405743497, -0.02975999770667323, -5.864187872589536e-06],
[-0.0004517936594085711, 0.3265409898164098, -5.680276001896266, -0.4404918548935705, 0.003599520786098113],
[-0.03650620461319554, -2.773610019456342, 0.9810118431238463, 3.269463326439044, 0.03312494992430833],
[-0.003078234252739988, 0.4784411467828077, 7.996620241631349, 1.185275846660814, 0.0044245231361739],
[3.223535961269275e-05, 0.0311759440751708, 0.2998710282262348, 0.03200763718576478, 4.102972745826762e-05]
]
for i in range(5):
for j in range(5):
coord = Coordinates([-3.0+i*1.5,-3.0+j*1.5])
landscape_point = LandscapePosition(self.objective_function, coord)
assert_almost_equals(expected_values[j][i], landscape_point.evaluate_objective_function())
def generate_landscape_positions(self):
"""Generates a list of landscape positions that have been read
from initial_population_file.
"""
reader = CoordinatesFileReader(self.dimensions)
coordinates = reader.get_coordinates_from_file(
self.initial_population_file)
if not coordinates:
raise GSOCoordinatesError(
"No coordinates have been read from %s file" %
self.initial_population_file)
if len(coordinates) != self.number_of_glowworms:
raise GSOCoordinatesError(
"Number of coordinates read and number of glowworms does not correspond"
)
positions = []
for index in range(self.number_of_glowworms):
positions.append(
LandscapePosition(self.objective_functions[0],
coordinates[index]))
return [positions]
def test_move_same_coordinates(self):
landscape_position1 = [
LandscapePosition(self.objective_function, Coordinates([1.0, 2.0]))
]
landscape_position2 = [
LandscapePosition(self.objective_function, Coordinates([1.0, 2.0]))
]
glowworm1 = Glowworm(landscape_position1, self.gso_parameters)
glowworm2 = Glowworm(landscape_position2, self.gso_parameters)
glowworm1.luciferin = 4.0
glowworm1.vision_range = 2.0
glowworm1.max_vision_range = 1.0
glowworm2.luciferin = 4.0
glowworm2.vision_range = 2.0
glowworm2.max_vision_range = 1.0
glowworm1.move(glowworm2)
expected = LandscapePosition(self.objective_function,
Coordinates([1.0, 2.0]))
assert expected == glowworm1.landscape_positions[0]
def test_move_using_other_step(self):
landscape_point1 = LandscapePosition(self.objective_function, self.coordinates1, 1.0)
landscape_point2 = LandscapePosition(self.objective_function, self.coordinates2)
expected = LandscapePosition(self.objective_function, Coordinates([0.70710678118654746,0.70710678118654746]))
landscape_point1.move(landscape_point2)
assert expected == landscape_point1
def test_move_using_default_step(self):
landscape_point1 = LandscapePosition(self.objective_function, self.coordinates1)
landscape_point2 = LandscapePosition(self.objective_function, self.coordinates2)
expected = LandscapePosition(self.objective_function, Coordinates([0.021213203435596423,0.021213203435596423]))
landscape_point1.move(landscape_point2)
assert expected == landscape_point1
def generate_landscape_positions(self):
"""Generates a list of landscape positions that have been read
from initial_population_file.
"""
positions = []
for index in range(self.number_of_glowworms):
coordinates = []
for dimension in range(self.bounding_box.dimension):
bound = self.bounding_box.get_boundary_of_dimension(dimension)
coord = self.random_number_generator(bound.lower_limit,
bound.upper_limit)
coordinates.append(coord)
positions.append(
LandscapePosition(self.objective_functions[0],
Coordinates(coordinates)))
return [positions]
def test_LandscapePosition_with_J1(self):
landscape_point = LandscapePosition(self.objective_function, self.coordinates1)
assert_almost_equals(0.9810118431238463, landscape_point.evaluate_objective_function())
def test_norm(self):
landscape_point1 = LandscapePosition(self.objective_function, self.coordinates2)
assert_almost_equals(sqrt(2.0), landscape_point1.norm())
def test_distance2_J1(self):
landscape_point1 = LandscapePosition(self.objective_function, self.coordinates2)
landscape_point2 = LandscapePosition(self.objective_function, self.coordinates1)
assert_almost_equals(2.0, landscape_point1.distance2(landscape_point2))
