BUG : Fix lazy_array_equiv for 0-D NumPy arrays

xarray/core/duck_array_ops.py

@@ -321,6 +321,8 @@ def lazy_array_equiv(arr1, arr2):
     arr2 = asarray(arr2)
     if arr1.shape != arr2.shape:
         return False
+    if arr1.ndim == 0 and arr2.ndim == 0:
+        return None
     if dask_available and is_duck_dask_array(arr1) and is_duck_dask_array(arr2):
         from dask.base import tokenize
 

xarray/tests/test_duck_array_ops.py

@@ -1091,6 +1091,18 @@ def test_push_dask(method, arr):
             np.testing.assert_equal(actual, expected)
 
 
+from xarray.core.duck_array_ops import lazy_array_equiv
+
+
+def test_lazy_array_equiv_numpy_0d_arrays():
+    a = np.array(1)
+    b = np.array(1)
+
+    result = lazy_array_equiv(a, b)
+
+    assert result is None
+
+
 def test_extension_array_equality(categorical1, int1):
     int_duck_array = PandasExtensionArray(int1)
     categorical_duck_array = PandasExtensionArray(categorical1)