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GH-49437: [Python][GPU] Fix numba-cuda interop after ctypes removal in numba-cuda 0.28 #49446

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GH-49437: [Python][GPU] Fix numba-cuda interop after ctypes removal in numba-cuda 0.28 #49446

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2 changes: 1 addition & 1 deletion python/pyarrow/_cuda.pyx
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Original file line number Diff line number Diff line change
Expand Up @@ -81,7 +81,7 @@ cdef class Context(_Weakrefable):
import numba.cuda
context = numba.cuda.current_context()
return Context(device_number=context.device.id,
handle=context.handle.value)
handle=int(context.handle))

def to_numba(self):
"""
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6 changes: 3 additions & 3 deletions python/pyarrow/tests/test_cuda_numba_interop.py
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Expand Up @@ -50,8 +50,8 @@ def teardown_module(module):
ids=context_choice_ids)
def test_context(c):
ctx, nb_ctx = context_choices[c]
assert ctx.handle == nb_ctx.handle.value
assert ctx.handle == ctx.to_numba().handle.value
assert ctx.handle == int(nb_ctx.handle)
assert ctx.handle == int(ctx.to_numba().handle)
ctx2 = cuda.Context.from_numba(nb_ctx)
assert ctx.handle == ctx2.handle
size = 10
Expand Down Expand Up @@ -203,7 +203,7 @@ def test_numba_context(c, dtype):
with nb_cuda.gpus[0]:
arr, cbuf = make_random_buffer(size, target='device',
dtype=dtype, ctx=ctx)
assert cbuf.context.handle == nb_ctx.handle.value
assert cbuf.context.handle == int(nb_ctx.handle)
mem = cbuf.to_numba()
darr = DeviceNDArray(arr.shape, arr.strides, arr.dtype, gpu_data=mem)
np.testing.assert_equal(darr.copy_to_host(), arr)
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