def test_one_to_one_dense_3():
""" Check link computation, one to one, dense """
G1 = dana.group(np.random.random((5, 5)))
G2 = dana.group(np.random.random((10, 10)))
G1.connect(G2, np.ones((1, 1)), 'I', sparse=False, shared=False)
G1.dV = 'I-V'
G1.compute()
assert np_almost_equal(G1.V, G2.V[::2, ::2])
def test_one_to_one_shared_1():
""" Check link computation, one to one, shared """
G1 = dana.group(np.random.random((10, )))
G2 = dana.group(np.random.random((10, )))
G1.connect(G2, np.ones((1, )), 'I', sparse=False, shared=True)
G1.dV = 'I-V'
G1.compute()
assert np_almost_equal(G1.V, G2.V)
def test_one_to_one_dense_3():
""" Check link computation, one to one, dense """
G1 = dana.group(np.random.random((5,5)))
G2 = dana.group(np.random.random((10,10)))
G1.connect(G2, np.ones((1,1)), 'I', sparse=False, shared=False)
G1.dV = 'I-V'
G1.compute()
assert np_almost_equal(G1.V,G2.V[::2,::2])
def test_one_to_one_shared_1():
""" Check link computation, one to one, shared """
G1 = dana.group(np.random.random((10,)))
G2 = dana.group(np.random.random((10,)))
G1.connect(G2, np.ones((1,)), 'I', sparse=False, shared=True)
G1.dV = 'I-V'
G1.compute()
assert np_almost_equal(G1.V,G2.V)
def test_one_to_one_dense_5():
""" Check link, one to one, dense """
G1 = dana.group(np.random.random((10, 10)))
G2 = dana.group(np.random.random((10, 10)))
G1.connect(G2, np.ones((1, 1)), 'I', sparse=False, shared=False)
W = G1.I[0, 0]
Z = np.ones((10, 10)) * np.NaN
Z[0, 0] = 1
assert np_almost_equal(W, Z)
def test_one_to_one_shared_4():
""" Check link, one to one, shared """
G1 = dana.group(np.random.random((10, )))
G2 = dana.group(np.random.random((10, )))
G1.connect(G2, np.ones((1, )), 'I', sparse=False, shared=True)
W = G1.I[0]
Z = np.ones((10, )) * np.NaN
Z[0] = 1
assert np_almost_equal(W, Z)
def test_one_to_one_dense_5():
""" Check link, one to one, dense """
G1 = dana.group(np.random.random((10,10)))
G2 = dana.group(np.random.random((10,10)))
G1.connect(G2, np.ones((1,1)), 'I', sparse=False, shared=False)
W = G1.I[0,0]
Z = np.ones((10,10))*np.NaN
Z[0,0] = 1
assert np_almost_equal(W,Z)
def test_one_to_one_shared_4():
""" Check link, one to one, shared """
G1 = dana.group(np.random.random((10,)))
G2 = dana.group(np.random.random((10,)))
G1.connect(G2, np.ones((1,)), 'I', sparse=False, shared=True)
W = G1.I[0]
Z = np.ones((10,))*np.NaN
Z[0] = 1
assert np_almost_equal(W,Z)
def test_one_to_one_dense_6():
""" Check link computation, one to one, dense, masked """
G1 = dana.group(np.random.random((10, )))
G2 = dana.group(np.random.random((10, )))
G1.connect(G2, np.ones((1, )), 'I', sparse=False, shared=False)
G1.mask[0] = False
G1.dV = 'I-V'
G1.compute()
G2.V[0] = 0
assert np_almost_equal(G1.V, G2.V)
def test_one_to_one_sparse_7():
""" Check link, one to one, sparse """
G1 = dana.group(np.random.random((10, 10)))
G2 = dana.group(np.random.random((10, 10)))
G1.connect(G2, np.ones((1, 1)), 'I', sparse=True, shared=False)
G1.mask[0, 0] = False
G1.dV = 'I-V'
G1.compute()
G2.V[0, 0] = 0
assert np_almost_equal(G1.V, G2.V)
def test_one_to_one_dense_7():
""" Check link computation, one to one, dense, masked """
G1 = dana.group(np.random.random((10,10)))
G2 = dana.group(np.random.random((10,10)))
G1.connect(G2, np.ones((1,1)), 'I', sparse=False, shared=False)
G1.mask[0,0] = False
G1.dV = 'I-V'
G1.compute()
G2.V[0,0] = 0
assert np_almost_equal(G1.V,G2.V)
def test_one_to_one_sparse_6():
""" Check link, one to one, sparse """
G1 = dana.group(np.random.random((10,)))
G2 = dana.group(np.random.random((10,)))
G1.connect(G2, np.ones((1,)), 'I', sparse=True, shared=False)
G1.mask[0] = False
G1.dV = 'I-V'
G1.compute()
G2.V[0] = 0
assert np_almost_equal(G1.V,G2.V)
def test_distance_sparse_2():
""" Check link distance computation, sparse """
G1 = dana.zeros((5, 5))
G2 = dana.group(np.random.random((5, 5)))
G1.connect(G2, np.ones((1, 1)), 'I-', sparse=True, shared=False)
G1.dV = 'I'
G1.compute()
assert np_almost_equal(G1.V, 1 - G2.V)
def test_distance_sparse_2():
""" Check link distance computation, sparse """
G1 = dana.zeros((5,5))
G2 = dana.group(np.random.random((5,5)))
G1.connect(G2, np.ones((1,1)), 'I-', sparse=True, shared=False)
G1.dV = 'I'
G1.compute()
assert np_almost_equal(G1.V,1-G2.V)
