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

xarray/tests/test_computation.py

@@ -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()