def test_arrfunc_from_instantiate_pyfunc(self):
# Test wrapping make_assignment_ckernel as an arrfunc
def instantiate_assignment(out_ckb, ckb_offset, dst_tp, dst_arrmeta,
src_tp, src_arrmeta, kernreq, ectx):
out_ckb = _lowlevel.CKernelBuilderStruct.from_address(out_ckb)
return _lowlevel.make_assignment_ckernel(out_ckb, ckb_offset,
dst_tp, dst_arrmeta,
src_tp[0], src_arrmeta[0],
kernreq, ectx)
af = _lowlevel.arrfunc_from_instantiate_pyfunc(
instantiate_assignment, "(date) -> string")
self.assertEqual(nd.as_py(af.proto), ndt.type("(date) -> string"))
in0 = nd.array('2012-11-05', ndt.date)
out = af(in0)
self.assertEqual(nd.as_py(out), '2012-11-05')
# Also test it as a lifted kernel
af_lifted = _lowlevel.lift_arrfunc(af)
self.assertEqual(nd.as_py(af_lifted.proto),
ndt.type("(Dims... * date) -> Dims... * string"))
from datetime import date
in0 = nd.array([['2013-03-11', date(2010, 10, 10)],
[date(1999, 12, 31)],
[]], type='3 * var * date')
out = af_lifted(in0)
self.assertEqual(nd.as_py(out),
[['2013-03-11', '2010-10-10'],
['1999-12-31'], []])
def test_ctypes_callback_deferred(self):
# Create a deferred ckernel via a closure
def instantiate_ckernel(out_ckb, ckb_offset, dst_tp, dst_arrmeta,
src_tp, src_arrmeta, kernreq, ectx):
out_ckb = _lowlevel.CKernelBuilder(out_ckb)
def my_kernel_func_single(dst_ptr, src_ptr, kdp):
dst = ctypes.c_int32.from_address(dst_ptr)
src = ctypes.c_double.from_address(src_ptr[0])
dst.value = int(src.value * 3.5)
def my_kernel_func_strided(dst_ptr, dst_stride, src_ptr, src_stride, count, kdp):
src_ptr0 = src_ptr[0]
src_stride0 = src_stride[0]
for i in range(count):
my_kernel_func_single(dst_ptr, [src_ptr0], kdp)
dst_ptr += dst_stride
src_ptr0 += src_stride0
if kernreq == 'single':
kfunc = _lowlevel.ExprSingleOperation(my_kernel_func_single)
else:
kfunc = _lowlevel.ExprStridedOperation(my_kernel_func_strided)
return ckernel.wrap_ckernel_func(out_ckb, ckb_offset,
kfunc, kfunc)
ckd = _lowlevel.arrfunc_from_instantiate_pyfunc(instantiate_ckernel,
"(float64) -> int32")
# Test calling the ckd
out = nd.empty(ndt.int32)
in0 = nd.array(4.0, type=ndt.float64)
ckd.execute(out, in0)
self.assertEqual(nd.as_py(out), 14)
# Also call it lifted
ckd_lifted = _lowlevel.lift_arrfunc(ckd)
out = nd.empty('2 * var * int32')
in0 = nd.array([[1.0, 3.0, 2.5], [1.25, -1.5]], type='2 * var * float64')
ckd_lifted.execute(out, in0)
self.assertEqual(nd.as_py(out), [[3, 10, 8], [4, -5]])