From bac01c05a6e299ca61677af47d0bcb841de1787a Mon Sep 17 00:00:00 2001
From: Maximilian Roos <5635139+max-sixty@users.noreply.github.com>
Date: Mon, 8 Jul 2024 02:49:13 -0700
Subject: [PATCH] Use numpy 2.0-compat `np.complex64` dtype in test (#9217)

---
 xarray/tests/test_computation.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/xarray/tests/test_computation.py b/xarray/tests/test_computation.py
index 4b9b95b27bb..b000de311af 100644
--- a/xarray/tests/test_computation.py
+++ b/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()