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Use numpy 2.0-compat np.complex64 dtype in test #9217

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merged 1 commit into from
Jul 8, 2024
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Use numpy 2.0-compat np.complex64 dtype in test #9217

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2 changes: 1 addition & 1 deletion xarray/tests/test_computation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2602,7 +2602,7 @@ def test_cross(a, b, ae, be, dim: str, axis: int, use_dask: bool) -> None:

@pytest.mark.parametrize("compute_backend", ["numbagg"], indirect=True)
def test_complex_number_reduce(compute_backend):
da = xr.DataArray(np.ones((2,), dtype=np.complex_), dims=["x"])
da = xr.DataArray(np.ones((2,), dtype=np.complex64), dims=["x"])
# Check that xarray doesn't call into numbagg, which doesn't compile for complex
# numbers at the moment (but will when numba supports dynamic compilation)
da.min()