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# This test code was written by the `hypothesis.extra.ghostwriter` module
# and is provided under the Creative Commons Zero public domain dedication.
import numpy
import test_expected_output
from hypothesis import given, strategies as st
from hypothesis.extra.numpy import array_shapes, arrays
from numpy import dtype
@given(
f=arrays(dtype=dtype("float64"), shape=array_shapes(max_dims=2)),
fc=arrays(dtype=numpy.float64 | numpy.complex128, shape=array_shapes(max_dims=2)),
union=st.one_of(
st.none(),
arrays(dtype=numpy.float64 | numpy.complex128, shape=array_shapes(max_dims=2)),
),
)
def test_fuzz_various_numpy_annotations(f, fc, union):
test_expected_output.various_numpy_annotations(f=f, fc=fc, union=union)
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