def test_Spectrum(self):
spectrum = rs.Spectrum(width=2)
assert spectrum.values == [0, 0]
with pytest.raises(TypeError) as e:
spectrum = rs.Spectrum()
assert "The width of the spectrum must be specified." in str(e)
connection1 = rs.Connection(0)
connection2 = rs.Connection(1)
connection3 = rs.Connection(0)
spectrum = rs.Spectrum(
connections=[connection1, connection2, connection3])
assert spectrum.connections == [connection1, connection2, connection3]
assert spectrum.values == [0, 1, 0]
spectrum.values = [0.5, 1, 1.5]
assert spectrum.values == [0.5, 1, 1.5]
assert spectrum[0] == connection1
assert spectrum[1:] == [connection2, connection3]
with pytest.raises(IndexError) as e:
connection = spectrum[3]
assert "Spectrum width exceeded." in str(e)
test_list = []
for connection in spectrum:
test_list.append(connection)
assert test_list == [connection1, connection2, connection3]
assert len(spectrum) == 3
def test_Image(self):
image = rs.Image(height=3, width=2)
assert image.values == [
[0, 0],
[0, 0],
[0, 0]
]
with pytest.raises(TypeError) as e:
image = rs.Image()
assert "The height and width of the image must be specified." in str(e)
connection1 = rs.Connection(0)
connection2 = rs.Connection(1)
connection3 = rs.Connection(0)
connection4 = rs.Connection(1)
spectrum1 = rs.Spectrum([connection1, connection2])
spectrum2 = rs.Spectrum([connection3, connection4])
image = rs.Image(spectra=[spectrum1, spectrum2])
assert image.spectra == [spectrum1, spectrum2]
assert image.values == [
[0, 1],
[0, 1]
]
image.values = [
[0.5, 1],
[1.5, 2]
]
assert image.values == [
[0.5, 1],
[1.5, 2]
]
assert image[0][0] == connection1
assert image[1:][0][1] == connection4
with pytest.raises(IndexError) as e:
connection = image[2][0]
assert "Image height exceeded." in str(e)
test_list = []
for spectrum in image:
for connection in spectrum:
test_list.append(connection)
assert test_list == [
connection1, connection2, connection3, connection4]
assert len(image) == 2
def test_Connection(self):
self._test_value = 0
connection = rs.Connection()
assert connection.value == 0
connection = rs.Connection(1)
assert connection.value == 1
connection.value = 0
assert connection.value == 0
connection.bind_to(self.__tester)
assert self._test_value == 0
connection.value = 1
assert connection.value == 1
assert self._test_value == 5
def test_TanhActivationNeuron(self):
input = rs.Connection()
output = rs.Connection()
rs.activation.TanhActivationNeuron(input, output)
assert input.value == 0
assert round(output.value, 2) == 0.00
input.value = -1
assert round(output.value, 2) == -0.76
input.value = -2
assert round(output.value, 2) == -0.96
input.value = 1
assert round(output.value, 2) == 0.76
input.value = 2
assert round(output.value, 2) == 0.96
def test_BinaryStepActivationNeuron(self):
input = rs.Connection()
output = rs.Connection()
rs.activation.BinaryStepActivationNeuron(input, output)
assert input.value == 0
assert output.value == 1
input.value = -1
assert output.value == 0
input.value = -2
assert output.value == 0
input.value = 1
assert output.value == 1
input.value = 2
assert output.value == 1
def test_LeakyReLUActivationNeuron(self):
input = rs.Connection()
output = rs.Connection()
rs.activation.LeakyReLUActivationNeuron(input, output)
assert input.value == 0
assert output.value == 0
input.value = -1
assert output.value == -0.01
input.value = -2
assert output.value == -0.02
input.value = 1
assert output.value == 1
input.value = 2
assert output.value == 2
def test_IdentityActivationNeuron(self):
input = rs.Connection()
output = rs.Connection()
rs.activation.IdentityActivationNeuron(input, output)
assert input.value == 0
assert output.value == 0
input.value = -1
assert output.value == -1
input.value = -2
assert output.value == -2
input.value = 1
assert output.value == 1
input.value = 2
assert output.value == 2
def test_AveragePoolingNeuron(self):
inputs = rs.Image(height=4, width=4)
output = rs.Connection()
rs.pooling.AveragePoolingNeuron(inputs, output)
assert inputs.values == [[0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0],
[0, 0, 0, 0]]
assert round(output.value, 2) == 0.00
inputs.values = [[0, 0, 0, 10], [0, 0, -2, 0], [2, 0, 0, 0],
[0, 6, 0, 0]]
assert round(output.value, 2) == 1.00
inputs.values = [[1, 2, 3, 4], [-1, -4, -9, -16], [2.79, 3.14, 1, 0],
[0, 0, 0, 0]]
assert round(output.value, 2) == -0.82
def test_DenseNeuron(self):
inputs = rs.Spectrum(width=4)
output = rs.Connection()
neuron = rs.dense.DenseNeuron(inputs, output)
assert inputs.values == [0, 0, 0, 0]
assert neuron.weights == [1, 1, 1, 1]
assert output.value == 0
inputs.values = [0.1, 0.2, 0.3, 0.4]
assert round(output.value, 2) == 1.0
neuron.weights = [4, 3, 2, 1]
assert round(output.value, 2) == 2.0
neuron.weights = [0.5, 1, 1.5, 2]
assert round(output.value, 2) == 1.5
inputs.values = [2, 2, 1, 1]
assert round(output.value, 2) == 6.5
def test_ConnectionLayer(self):
layer = rs.ConnectionLayer(height=3, width=4, depth=2)
assert layer.values == [
[[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0]],
[[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0]],
]
with pytest.raises(TypeError) as e:
layer = rs.ConnectionLayer()
assert "The depth, height, and width of the layer must be specified."\
in str(e)
connection1 = rs.Connection(0)
connection2 = rs.Connection(1)
connection3 = rs.Connection(0)
connection4 = rs.Connection(1)
connection5 = rs.Connection(0)
connection6 = rs.Connection(1)
spectrum1 = rs.Spectrum([connection1])
spectrum2 = rs.Spectrum([connection2])
spectrum3 = rs.Spectrum([connection3])
spectrum4 = rs.Spectrum([connection4])
spectrum5 = rs.Spectrum([connection5])
spectrum6 = rs.Spectrum([connection6])
image1 = rs.Image([spectrum1, spectrum2, spectrum3])
image2 = rs.Image([spectrum4, spectrum5, spectrum6])
layer = rs.ConnectionLayer(images=[image1, image2])
assert layer.images == [image1, image2]
assert layer.values == [
[[0],
[1],
[0]],
[[1],
[0],
[1]]
]
layer.values = [
[[0.5],
[1],
[1.5]],
[[2],
[2.5],
[3]]
]
assert layer.values == [
[[0.5],
[1],
[1.5]],
[[2],
[2.5],
[3]]
]
assert layer[0][1][0] == connection2
assert layer[1:][0][1][0] == connection5
with pytest.raises(IndexError) as e:
connection = layer[2][0][0]
assert "Layer depth exceeded." in str(e)
test_list = []
for image in layer:
for spectrum in image:
for connection in spectrum:
test_list.append(connection)
assert test_list == [
connection1,
connection2,
connection3,
connection4,
connection5,
connection6
]
assert len(layer) == 2
