提交 ece7b6fd authored 作者: Olivier Delalleau's avatar Olivier Delalleau

PEP8 fixes

上级 9f009ab1
......@@ -2685,6 +2685,7 @@ where = switch
# Bit-wise
##########################
@_scal_elemwise_with_nfunc('bitwise_and', 2, 1)
def and_(a, b):
"""bitwise a & b"""
......@@ -4334,8 +4335,10 @@ class Subtensor(Op):
while (inner_ii < %(c_prefix)s_NDIM(%(xview)s))
{
assert (outer_ii < %(c_prefix)s_NDIM(%(x)s));
%(set_dim)s(%(xview)s, inner_ii, %(c_prefix)s_DIMS(%(x)s)[outer_ii]);
%(set_stride)s(%(xview)s, inner_ii, %(c_prefix)s_STRIDES(%(x)s)[outer_ii]);
%(set_dim)s(%(xview)s, inner_ii,
%(c_prefix)s_DIMS(%(x)s)[outer_ii]);
%(set_stride)s(%(xview)s, inner_ii,
%(c_prefix)s_STRIDES(%(x)s)[outer_ii]);
inner_ii += 1;
outer_ii += 1;
}
......@@ -4469,8 +4472,8 @@ def batched_dot(x, y):
"""
:param x: A Tensor with sizes e.g.: for 3D (dim1, dim3, dim2)
:param y: A Tensor with sizes e.g.: for 3D (dim1, dim2, dim4)
This function computes the dot product between the two tensors, by iterating
over the first dimension using scan.
This function computes the dot product between the two tensors, by
iterating over the first dimension using scan.
Returns a tensor of size e.g. if it is 3D: (dim1, dim3, dim4)
Example:
>>> first = T.tensor3('first')
......@@ -5727,7 +5730,8 @@ class Reshape(Op):
// -- will err if this will downcast. This could happen if the
// -- user pass an int64 dtype, but npy_intp endup being int32.
new_dims[ii] = ((dtype_%(shp)s*)(
PyArray_BYTES(%(shp)s) + ii * PyArray_STRIDES(%(shp)s)[0]))[0];
PyArray_BYTES(%(shp)s) +
ii * PyArray_STRIDES(%(shp)s)[0]))[0];
}
Py_XDECREF(%(z)s);
%(z)s = (PyArrayObject *) PyArray_Newshape(%(x)s, &newshape,
......@@ -5939,8 +5943,8 @@ def tile(x, reps, ndim=None):
ndim = len(reps)
# backport
# ndim = len(reps) if ndim is None else ndim # not sure if len(shp) is going
# to work.
# ndim = len(reps) if ndim is None else ndim
# not sure if len(shp) is going to work.
if ndim not in tile.op:
tile.op[ndim] = Tile(ndim)
return tile.op[ndim](x, reps)
......
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