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Fix issue when passing np.ndarray to Python kernels #1406

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Mar 21, 2024
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5 changes: 4 additions & 1 deletion python/cudaq/kernel/utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -173,8 +173,11 @@ def mlirTypeFromPyType(argType, ctx, **kwargs):
return ComplexType.get(mlirTypeFromPyType(float, ctx))

if argType in [list, np.ndarray, List]:
if 'argInstance' not in kwargs or kwargs['argInstance'] == None:
if 'argInstance' not in kwargs:
return cc.StdvecType.get(ctx, mlirTypeFromPyType(float, ctx))
if argType != np.ndarray:
if kwargs['argInstance'] == None:
return cc.StdvecType.get(ctx, mlirTypeFromPyType(float, ctx))

argInstance = kwargs['argInstance']
argTypeToCompareTo = kwargs[
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11 changes: 11 additions & 0 deletions python/tests/kernel/test_kernel_features.py
Original file line number Diff line number Diff line change
Expand Up @@ -851,6 +851,17 @@ def test2() -> int:
assert test2() == 10


def test_no_valueerror_np_array():

@cudaq.kernel
def test(var: np.ndarray):
q = cudaq.qubit()
ry(var[0], q)
mz(q)

test(np.array([1., 2.]))


def test_draw():

@cudaq.kernel
Expand Down
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