def test_5(self):
n = 10
Z = np.random.random(n)
K = np.random.random(n)
Z1 = DenseConnection(Z,Z,K,toric=True).output()
Z2 = SharedConnection(Z,Z,K,toric=True,fft=False).output()
Z3 = SharedConnection(Z,Z,K,toric=True,fft=True).output()
Z4 = convolve(Z, K[::-1], mode='wrap')
assert np_equal(Z1,Z4)
assert np_equal(Z2,Z4)
assert np_equal(Z3,Z4)
def test_7(self):
n = 9
Z = np.random.random(n)
K = np.random.random(n//2)
Z1 = DenseConnection(Z,Z,K,toric=False).output()
Z2 = SharedConnection(Z,Z,K,toric=False,fft=False).output()
Z3 = SharedConnection(Z,Z,K,toric=False,fft=True).output()
Z4 = convolve(Z, K[::-1], mode='constant')
assert np_equal(Z1,Z4)
assert np_equal(Z2,Z4)
assert np_equal(Z3,Z4)
def test_1(self):
n = 9
Z = np.random.random((n,n))
K = np.random.random((n//2,n//2))
Z1 = DenseConnection(Z,Z,K,toric=True).output()
Z2 = SparseConnection(Z,Z,K,toric=True).output()
Z3 = SharedConnection(Z,Z,K,toric=True,fft=False).output()
Z4 = SharedConnection(Z,Z,K,toric=True,fft=True).output()
Z5 = convolve(Z, K[::-1,::-1], mode='wrap')
assert np_equal(Z1,Z5)
assert np_equal(Z2,Z5)
assert np_equal(Z3,Z5)
assert np_equal(Z4,Z5)
def test_12(self):
n = 10
Z = np.random.random((n,n))
K = np.random.random((2*n,2*n))
Z1 = DenseConnection(Z,Z,K,toric=False).output()
Z2 = SparseConnection(Z,Z,K,toric=False).output()
Z3 = SharedConnection(Z,Z,K,toric=False,fft=False).output()
Z4 = SharedConnection(Z,Z,K,toric=False,fft=True).output()
Z5 = convolve(Z, K[::-1,::-1], mode='constant')
assert np_equal(Z1,Z5)
assert np_equal(Z2,Z5)
assert np_equal(Z3,Z5)
assert np_equal(Z4,Z5)
def test_6(self):
n = 10
Z = np.random.random((n,n))
K = np.random.random((2*n,2*n))
Z1 = DenseConnection(Z,Z,K,toric=True).output()
Z2 = SparseConnection(Z,Z,K,toric=True).output()
Z3 = SharedConnection(Z,Z,K,toric=True,fft=False).output()
Z4 = SharedConnection(Z,Z,K,toric=True,fft=True).output()
K_ = K[5:15,5:15]
Z5 = convolve(Z, K_[::-1,::-1], mode='wrap')
assert np_equal(Z1,Z5)
assert np_equal(Z2,Z5)
assert np_equal(Z3,Z5)
assert np_equal(Z4,Z5)
def test_7(self):
assert np_equal( Connection(ones((3,3)), ones((3,3)), array([[1, 1, 1],
[1,NaN,1],
[1, 1, 1]]),fft=True).output(),
array([[3,5,3],
[5,8,5],
[3,5,3]]))
def test_5(self):
assert np_equal( Connection(ones((3,3)), ones((5,5)), ones((3,3)),fft=True).output(),
array([[4,4,6,4,4],
[4,4,6,4,4],
[6,6,9,6,6],
[4,4,6,4,4],
[4,4,6,4,4]]))
def test_7(self):
assert np_equal( Connection(ones((3,3)), ones((3,3)), array([[1, 1, 1],
[1,NaN,1],
[1, 1, 1]])).output(),
array([[3,5,3],
[5,8,5],
[3,5,3]]))
def test_4(self):
src = np.ones((3, ))
dst = zeros((3, ), 'V=I; I')
kernel = np.ones(1)
C = DenseConnection(src, dst('I'), kernel, equation='dW/dt = post.I')
dst.run(dt=0.1)
assert np_equal(C.weights, np.identity(3) * 1.1)
def test_1(self):
G = Group(5, 'V = I; I')
Z = np.ones(5)
DenseConnection(Z, G('I'), 1)
DenseConnection(Z, G('I'), 2)
G.run()
assert np_equal(3*np.ones(5),G('V'))
def test_1(self):
G = Group(5, 'V = I; I')
Z = np.ones(5)
DenseConnection(Z, G('I'), 1)
DenseConnection(Z, G('I'), 2)
G.run()
assert np_equal(3 * np.ones(5), G('V'))
def test_mask_shape_2(self):
mask = np.ones((3,3))
mask[1,1] = 0
self.Z.mask = mask
self.Z[...] = 1
self.Z.setup()
assert np_equal(self.Z.f0,mask)
def test_5(self):
assert np_equal( Connection(ones((3,3)), ones((5,5)), ones((3,3))).output(),
array([[4,4,6,4,4],
[4,4,6,4,4],
[6,6,9,6,6],
[4,4,6,4,4],
[4,4,6,4,4]]))
def test_mask_shape_2(self):
mask = np.ones((3, 3))
mask[1, 1] = 0
self.Z.mask = mask
self.Z[...] = 1
self.Z.setup()
assert np_equal(self.Z.f0, mask)
def test_1(self):
kernel = np.ones(1)
C = SparseConnection(np.ones(3),
np.ones(3),
kernel,
equation='dW/dt = 1')
C.evaluate(dt=.1)
assert np_equal(C.weights, np.identity(3) * 1.1)
def test_2(self):
kernel = np.ones(3) * np.NaN
C = SparseConnection(np.ones(3),
np.ones(3),
kernel,
equation='dW/dt = 1')
C.evaluate(dt=.1)
assert np_equal(C.weights, np.zeros((3, 3)))
def test_11_ter(self):
assert np_equal(
Connection(ones((3, 3)),
ones((3, 3)),
ones((1, 20)),
toric=True,
fft=False).output(),
ones((3, 3)) * 3)
def test_4(self):
src = np.ones((3,))
dst = zeros((3,) , 'V=I; I')
kernel = np.ones(1)
C = DenseConnection(src, dst('I'), kernel,
equation = 'dW/dt = post.I')
dst.run(dt=0.1)
assert np_equal(C.weights, np.identity(3)*1.1)
def test_15(self):
Z = ones((5, 5))
K = arange(5 * 5).reshape((5, 5))
C = Connection(Z, Z, K)
assert np_equal(
C[4, 4],
array([[NaN, NaN, NaN, NaN, NaN], [NaN, NaN, NaN, NaN, NaN],
[NaN, NaN, 0, 1, 2], [NaN, NaN, 5, 6, 7],
[NaN, NaN, 10, 11, 12]]))
def test_14(self):
Z = ones((5, 5))
K = arange(5 * 5).reshape((5, 5))
C = Connection(Z, Z, K)
assert np_equal(
C[4, 0],
array([[NaN, NaN, NaN, NaN, NaN], [NaN, NaN, NaN, NaN, NaN],
[2, 3, 4, NaN, NaN], [7, 8, 9, NaN, NaN],
[12, 13, 14, NaN, NaN]]))
def test_13(self):
Z = ones((5, 5))
K = arange(5 * 5).reshape((5, 5))
C = Connection(Z, Z, K)
assert np_equal(
C[0, 4],
array([[NaN, NaN, 10, 11, 12], [NaN, NaN, 15, 16, 17],
[NaN, NaN, 20, 21, 22], [NaN, NaN, NaN, NaN, NaN],
[NaN, NaN, NaN, NaN, NaN]]))
def test_12(self):
Z = ones((5, 5))
K = arange(5 * 5).reshape((5, 5))
C = Connection(Z, Z, K)
assert np_equal(
C[0, 0],
array([[12, 13, 14, NaN, NaN], [17, 18, 19, NaN, NaN],
[22, 23, 24, NaN, NaN], [NaN, NaN, NaN, NaN, NaN],
[NaN, NaN, NaN, NaN, NaN]]))
def test_3(self):
kernel = np.ones(3)
kernel[1] = np.NaN
C = SparseConnection(np.ones(3), np.ones(3), kernel,
equation = 'dW/dt = 1')
C.evaluate(dt=0.1)
assert np_equal(C.weights, np.array([[0,1,0],
[1,0,1],
[0,1,0]])*1.1)
def test_15(self):
Z = ones((5,5))
K = arange(5*5).reshape((5,5))
C = Connection(Z,Z,K)
assert np_equal(C[4,4],
array([[NaN,NaN,NaN,NaN,NaN],
[NaN,NaN,NaN,NaN,NaN],
[NaN,NaN, 0, 1, 2],
[NaN,NaN, 5, 6, 7],
[NaN,NaN, 10, 11, 12]]))
def test_14(self):
Z = ones((5,5))
K = arange(5*5).reshape((5,5))
C = Connection(Z,Z,K)
assert np_equal(C[4,0],
array([[NaN,NaN,NaN,NaN,NaN],
[NaN,NaN,NaN,NaN,NaN],
[ 2, 3, 4,NaN,NaN],
[ 7, 8, 9,NaN,NaN],
[ 12, 13, 14,NaN,NaN]]))
def test_13(self):
Z = ones((5,5))
K = arange(5*5).reshape((5,5))
C = Connection(Z,Z,K)
assert np_equal(C[0,4],
array([[NaN,NaN,10, 11, 12],
[NaN,NaN,15, 16, 17],
[NaN,NaN,20, 21, 22],
[NaN,NaN,NaN,NaN,NaN],
[NaN,NaN,NaN,NaN,NaN]]))
def test_3(self):
kernel = np.ones(3)
kernel[1] = np.NaN
C = SparseConnection(np.ones(3),
np.ones(3),
kernel,
equation='dW/dt = 1')
C.evaluate(dt=0.1)
assert np_equal(C.weights,
np.array([[0, 1, 0], [1, 0, 1], [0, 1, 0]]) * 1.1)
def test_12(self):
Z = ones((5,5))
K = arange(5*5).reshape((5,5))
C = Connection(Z,Z,K)
assert np_equal(C[0,0],
array([[12, 13, 14,NaN,NaN],
[17, 18, 19,NaN,NaN],
[22, 23, 24,NaN,NaN],
[NaN,NaN,NaN,NaN,NaN],
[NaN,NaN,NaN,NaN,NaN]]))
def test_3(self):
net = Network(Clock(0.0, 1.0, 0.001))
src = Group((1,), 'dV/dt=1')
src[...] = 1
dst = Group((1,) , 'I')
dst[...] = 0
kernel = np.ones(1)
C = DenseConnection(src('V'), dst('I'), kernel)
net.append(src)
net.append(dst)
V,I=[],[]
@net.clock.every(0.1,order=-1)
def do(t):
V.append(src['V'][0])
I.append(dst['I'][0])
net.run(time=1.0, dt=0.1)
assert np_equal(np.array(V),
[1.0,1.1,1.2,1.3,1.4,1.5,1.6,1.7,1.8,1.9,2.0])
assert np_equal(np.array(I),
[0.0,1.0,1.1,1.2,1.3,1.4,1.5,1.6,1.7,1.8,1.9])
def test_3(self):
net = Network(Clock(0.0, 1.0, 0.001))
src = Group((1, ), 'dV/dt=1')
src[...] = 1
dst = Group((1, ), 'I')
dst[...] = 0
kernel = np.ones(1)
C = DenseConnection(src('V'), dst('I'), kernel)
net.append(src)
net.append(dst)
V, I = [], []
@net.clock.every(0.1, order=-1)
def do(t):
V.append(src['V'][0])
I.append(dst['I'][0])
net.run(time=1.0, dt=0.1)
assert np_equal(
np.array(V),
[1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0])
assert np_equal(
np.array(I),
[0.0, 1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9])
def test_11_bis(self):
assert np_equal(Connection(ones((3,3)), ones((3,3)), ones((20,20)), toric=True).output(),
ones((3,3))*9)
def test_10(self):
C = Connection(ones((3,3)), ones((3,3)), ones((1,1)))
assert np_equal(C[1,1], array([[NaN, NaN, NaN],
[NaN, 1, NaN],
[NaN, NaN, NaN]]))
def test_8(self):
assert np_equal( Connection(ones((3,3)), ones((3,3)), ones((3,3))*NaN).output(),
zeros((3,3)) )
def test_8(self):
assert np_equal(
Connection(ones((3, 3)), ones((3, 3)),
ones((3, 3)) * NaN).output(), zeros((3, 3)))
def test_11_bis(self):
assert np_equal(Connection(ones(3), ones(3), ones(20), toric=True).output(),
ones(3)*3)
def test_11_bis(self):
assert np_equal(
Connection(ones((3, 3)), ones((3, 3)), ones((20, 20)),
toric=True).output(),
ones((3, 3)) * 9)
def test_16(self):
Z = ones((5, 5))
K = arange(5 * 5).reshape((5, 5))
C = Connection(Z, Z, K)
assert np_equal(C[2, 2], K)
def test_3(self):
assert np_equal(
Connection(ones(5), ones(3), ones(1)).output(), ones(3))
def test_3(self):
assert np_equal( Connection(ones(5), ones(3), ones(1)).output(),
ones(3))
def test_7(self):
assert np_equal( Connection(ones(3), ones(3), array([1,NaN,1])).output(),
array([1,2,1]))
def test_11_ter(self):
assert np_equal(Connection(ones((3,3)), ones((3,3)), ones((1,20)), toric=True).output(),
ones((3,3))*3)
def test_10(self):
C = Connection(ones((3, 3)), ones((3, 3)), ones((1, 1)))
assert np_equal(
C[1, 1], array([[NaN, NaN, NaN], [NaN, 1, NaN], [NaN, NaN, NaN]]))
def test_3(self):
assert np_equal( Connection(ones((5,5)), ones((3,3)), ones((1,1))).output(),
ones((3,3)))
def test_6(self):
assert np_equal(
Connection(ones(5), ones(3), ones(3)).output(), array([2, 3, 2]))
def test_9(self):
assert np_equal( Connection(ones(3), ones(3), ones((3,3))).output(),
3*ones(3))
def test_16(self):
Z = ones((5,5))
K = arange(5*5).reshape((5,5))
C = Connection(Z,Z,K)
assert np_equal(C[2,2],K)
def test_7(self):
assert np_equal(
Connection(ones(3), ones(3), array([1, NaN, 1])).output(),
array([1, 2, 1]))
def test_6(self):
assert np_equal( Connection(ones(5), ones(3), ones(3)).output(),
array([2,3,2]))
def test_8(self):
assert np_equal(
Connection(ones(3), ones(3), array([NaN, NaN, NaN])).output(),
zeros(3))
def test_8(self):
assert np_equal( Connection(ones(3), ones(3), array([NaN,NaN,NaN])).output(),
zeros(3))
def test_9(self):
assert np_equal(
Connection(ones(3), ones(3), ones((3, 3))).output(), 3 * ones(3))
def test_10(self):
C = Connection(ones(3), ones(3), ones(1))
assert np_equal(C[0], array([1, NaN, NaN]))
assert np_equal(C[1], array([NaN, 1, NaN]))
assert np_equal(C[2], array([NaN, NaN, 1]))
def test_10(self):
C = Connection(ones(3), ones(3), ones(1))
assert np_equal(C[0], array([1, NaN, NaN]))
assert np_equal(C[1], array([NaN, 1, NaN]))
assert np_equal(C[2], array([NaN, NaN, 1]))
def test_12(self):
Z = ones(5)
K = arange(5)
C = Connection(Z,Z,K)
assert np_equal(C[0], array([2,3,4,NaN,NaN]))
def test_11_bis(self):
assert np_equal(
Connection(ones(3), ones(3), ones(20), toric=True).output(),
ones(3) * 3)
