def test_start():
'''
Has a different start from the base array.
'''
orig = np.random.rand(20,20)
a = orig[0:20:1,0:20:1]
start = (wn.addr(a) - wn.addr(orig)) / a.itemsize
orig = wn.array(orig)
z = np.copy(a)
z = np.exp(z)
shapes = orig.weldobj.update(np.array(list(a.shape)))
strides = []
for s in a.strides:
strides.append(s/8)
strides = orig.weldobj.update(np.array(strides))
end = 1
for s in a.shape:
end = end*s
end = end + start
iter_code = 'result(for(nditer({arr}, {start}L, {end}L, 1L, {shapes}, {strides}), appender, \
|b, i, e| merge(b,exp(e))))'.format(shapes=shapes, strides=strides, end=str(end),
start=str(start), arr=orig.name)
orig.weldobj.weld_code = iter_code
np_a = orig._eval()
assert_correct(np_a, z)
def test_zip():
'''
Has a different start from the base array.
'''
orig = np.random.rand(20, 20)
orig2 = np.random.rand(20, 20)
a = orig[5:20:1, 3:20:2]
b = orig2[5:20:1, 3:20:2]
start = (wn.addr(a) - wn.addr(orig)) / a.itemsize
orig = wn.array(orig)
# copying so we can test them later.
z = np.copy(a)
z2 = np.copy(b)
# added orig2 to orig's weldobject.
orig_2_name = orig.weldobj.update(orig2)
shapes = orig.weldobj.update(np.array(list(a.shape)))
strides = []
for s in a.strides:
strides.append(s / 8)
strides = orig.weldobj.update(np.array(strides))
end = 1
for s in a.shape:
end = end * s
end = end + start
iter_code = 'result(for(zip(nditer({arr}, {start}l, {end}l, 1l, {shapes}, {strides}), \
nditer({arr2}, {start}l, {end}l, 1l, {shapes}, {strides})), \
appender, |b, i, e| merge(b,e.$0+e.$1)))'.format(shapes=shapes,
strides=strides,
end=str(end),
start=str(start),
arr=orig.name,
arr2=orig_2_name)
orig.weldobj.weld_code = iter_code
# gives us a numpy array after evaluating the nditer code above.
np_a = orig._eval()
# update the copied array.
z3 = z + z2
# test values are equal.
assert_correct(np_a, z3)
def test_view():
'''
Adding the iter code to a view.
In general, do we deal correctly with wn.array(view)??
'''
orig = np.random.rand(20, 20)
a = orig[3:15:1, 4:20:2]
# orig = np.random.rand(20,20,20)
# a = orig[3:15:3,:,:]
print(a.flags)
assert not a.flags.contiguous
a = wn.array(a)
z = np.copy(a)
shapes = a.weldobj.update(np.array(list(a.shape)))
strides = []
for s in a.strides:
strides.append(s / z.itemsize)
strides = a.weldobj.update(np.array(strides))
end = 1
for s in a.shape:
end = end * s
end = end
iter_code = 'result(for(nditer({arr}, 0L, {end}L, 1L, {shapes}, {strides}), appender, \
|b, i, e| merge(b,exp(e))))'.format(shapes=shapes,
strides=strides,
end=str(end),
arr=a.name)
a.weldobj.weld_code = iter_code
z = np.exp(z)
# convert the data represented by weldarray 'a', to a multi-dimensional numpy array of shape as z,
# and then compare the values.
np_a = a._eval()
assert_correct(np_a, z)