def test_hstack(self):
import numpypy as np
a = np.array((1, 2, 3))
b = np.array((2, 3, 4))
c = np.hstack((a, b))
assert np.array_equal(c, [1, 2, 3, 2, 3, 4])
a = np.array([[1], [2], [3]])
b = np.array([[2], [3], [4]])
c = np.hstack((a, b))
assert np.array_equal(c, [[1, 2],
[2, 3],
[3, 4]])
for shape1, shape2 in [[(1, 2), (1, 3)],
[(4, 2), (4, 3)]]:
a, b = np.ones(shape1), np.ones(shape2)
assert np.all(np.hstack((a, b)) ==
np.ones((a.shape[0],
a.shape[1] + b.shape[1])))
#skip("https://bugs.pypy.org/issue1394")
for shape1, shape2 in [[(2, 3, 4), (2, 7, 4)],
[(1, 4, 7), (1, 10, 7)],
[(1, 4, 7), (1, 0, 7)],
[(1, 0, 7), (1, 0, 7)]]:
a, b = np.ones(shape1), np.ones(shape2)
assert np.all(np.hstack((a, b)) ==
np.ones((a.shape[0],
a.shape[1] + b.shape[1],
a.shape[2])))
def test_hstack(self):
import numpypy as np
a = np.array((1, 2, 3))
b = np.array((2, 3, 4))
c = np.hstack((a, b))
assert np.array_equal(c, [1, 2, 3, 2, 3, 4])
a = np.array([[1], [2], [3]])
b = np.array([[2], [3], [4]])
c = np.hstack((a, b))
assert np.array_equal(c, [[1, 2],
[2, 3],
[3, 4]])
for shape1, shape2 in [[(1, 2), (1, 3)],
[(4, 2), (4, 3)]]:
a, b = np.ones(shape1), np.ones(shape2)
assert np.all(np.hstack((a, b)) ==
np.ones((a.shape[0],
a.shape[1] + b.shape[1])))
#skip("https://bugs.pypy.org/issue1394")
for shape1, shape2 in [[(2, 3, 4), (2, 7, 4)],
[(1, 4, 7), (1, 10, 7)],
[(1, 4, 7), (1, 0, 7)],
[(1, 0, 7), (1, 0, 7)]]:
a, b = np.ones(shape1), np.ones(shape2)
assert np.all(np.hstack((a, b)) ==
np.ones((a.shape[0],
a.shape[1] + b.shape[1],
a.shape[2])))
def add_bias(A):
return np.hstack(( np.ones((A.shape[0],1)), A )) # Add 1 as bias.
def add_bias(A):
return np.hstack((np.ones((A.shape[0], 1)), A)) # Add 1 as bias.
