def semicast_arguments(out_argument, *in_arguments):
"""
Appropriately broadcast arguments and an output array.
"""
# XXX semicasting isn't quite right---needs to be slightly rethought
# XXX to handle the "extra" parameters correctly; perhaps what we're
# XXX truly doing is semicasting individual regions across arrays?
# XXX see notes, eg, 11/5/2010:2
# semicast arrays
from cargo.numpy import semicast
prefix_i = lambda d, e: -(e + len(d.shape)) or None
out_pair = (out_argument.array, prefix_i(*out_argument[1:]))
in_pairs = [(numpy.asarray(a, d.base), prefix_i(d, e)) for (a, d, e) in in_arguments]
if out_argument.array is None:
(shape, cast_arrays) = semicast(*in_pairs)
out_array = numpy.empty(shape, out_argument.dtype)
return (shape, [out_array] + cast_arrays)
else:
(shape, cast_arrays) = semicast(*([out_pair] + in_pairs))
assert out.shape == shape + out_argument.dtype.shape
return (shape, cast_arrays)
def semicast_arguments(out_argument, *in_arguments):
"""
Appropriately broadcast arguments and an output array.
"""
# XXX semicasting isn't quite right---needs to be slightly rethought
# XXX to handle the "extra" parameters correctly; perhaps what we're
# XXX truly doing is semicasting individual regions across arrays?
# XXX see notes, eg, 11/5/2010:2
# semicast arrays
from cargo.numpy import semicast
prefix_i = lambda d, e: -(e + len(d.shape)) or None
out_pair = (out_argument.array, prefix_i(*out_argument[1:]))
in_pairs = [(numpy.asarray(a, d.base), prefix_i(d, e))
for (a, d, e) in in_arguments]
if out_argument.array is None:
(shape, cast_arrays) = semicast(*in_pairs)
out_array = numpy.empty(shape, out_argument.dtype)
return (shape, [out_array] + cast_arrays)
else:
(shape, cast_arrays) = semicast(*([out_pair] + in_pairs))
assert out.shape == shape + out_argument.dtype.shape
return (shape, cast_arrays)
def test_semicast_partial():
"""
Test partial ndarray broadcasting via semicast.
"""
from cargo.numpy import semicast
a = numpy.ones((2, 3, 4))
b = numpy.zeros((3, 5))
(shape, (aa, bb)) = semicast((a, -1), (b, -1))
assert_equal(shape, (2, 3))
assert_equal(aa.shape, (2, 3, 4))
assert_equal(bb.shape, (2, 3, 5))
assert_equal(aa.tolist(), numpy.ones((2, 3, 4)).tolist())
assert_equal(bb.tolist(), numpy.zeros((2, 3, 5)).tolist())
def test_semicast_full():
"""
Test full ndarray broadcasting via semicast.
"""
from cargo.numpy import semicast
a = numpy.arange(2)
b = numpy.arange(4)
(shape, (aa, bb)) = semicast((a, None), (b[:, None], None))
assert_equal(shape, (4, 2))
assert_equal(aa.shape, (4, 2))
assert_equal(bb.shape, (4, 2))
assert_equal(aa.tolist(), [[0, 1]] * 4)
assert_equal(bb.tolist(), [[0, 0], [1, 1], [2, 2], [3, 3]])
def test_semicast_partial():
"""
Test partial ndarray broadcasting via semicast.
"""
from cargo.numpy import semicast
a = numpy.ones((2, 3, 4))
b = numpy.zeros((3, 5))
(shape, (aa, bb)) = semicast((a, -1), (b, -1))
assert_equal(shape, (2, 3))
assert_equal(aa.shape, (2, 3, 4))
assert_equal(bb.shape, (2, 3, 5))
assert_equal(aa.tolist(), numpy.ones((2, 3, 4)).tolist())
assert_equal(bb.tolist(), numpy.zeros((2, 3, 5)).tolist())
def test_semicast_full():
"""
Test full ndarray broadcasting via semicast.
"""
from cargo.numpy import semicast
a = numpy.arange(2)
b = numpy.arange(4)
(shape, (aa, bb)) = semicast((a, None), (b[:, None], None))
assert_equal(shape, (4, 2))
assert_equal(aa.shape, (4, 2))
assert_equal(bb.shape, (4, 2))
assert_equal(aa.tolist(), [[0, 1]] * 4)
assert_equal(bb.tolist(), [[0, 0], [1, 1], [2, 2], [3, 3]])
def test_semicast_full_fields():
"""
Test full ndarray broadcasting via semicast, with struct dtype.
"""
from cargo.numpy import semicast
d = numpy.dtype([("v", numpy.uint)])
a = numpy.array([(i,) for i in xrange(2)], d)
b = numpy.array([(i,) for i in xrange(4)], d)
(shape, (aa, bb)) = semicast((a, None), (b[:, None], None))
assert_equal(shape, (4, 2))
assert_equal(aa.shape, (4, 2))
assert_equal(bb.shape, (4, 2))
assert_equal(aa.dtype, d)
assert_equal(bb.dtype, d)
assert_equal(aa.tolist(), [[(0,), (1,)]] * 4)
assert_equal(bb.tolist(), [[(i,), (i,)] for i in xrange(4)])
def test_semicast_full_fields():
"""
Test full ndarray broadcasting via semicast, with struct dtype.
"""
from cargo.numpy import semicast
d = numpy.dtype([("v", numpy.uint)])
a = numpy.array([(i, ) for i in xrange(2)], d)
b = numpy.array([(i, ) for i in xrange(4)], d)
(shape, (aa, bb)) = semicast((a, None), (b[:, None], None))
assert_equal(shape, (4, 2))
assert_equal(aa.shape, (4, 2))
assert_equal(bb.shape, (4, 2))
assert_equal(aa.dtype, d)
assert_equal(bb.dtype, d)
assert_equal(aa.tolist(), [[(0, ), (1, )]] * 4)
assert_equal(bb.tolist(), [[(i, ), (i, )] for i in xrange(4)])