[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

sparse/_coo/common.py

@@ -1061,6 +1061,7 @@ def clip(a, a_min=None, a_max=None, out=None):
 
 # Array API set functions
 
+
 class UniqueCountsResult(NamedTuple):
     values: np.ndarray
     counts: np.ndarray
@@ -1098,7 +1099,7 @@ def unique_counts(x, /):
     from .core import COO
 
     if not isinstance(x, COO):
-        raise ValueError(f"Only COO arrays are supported but {type(x)} was passed.")
+        x = x.asformat(COO)
 
     x = x.flatten()
     values, counts = np.unique(x.data, return_counts=True)
@@ -1141,7 +1142,7 @@ def unique_values(x, /):
     from .core import COO
 
     if not isinstance(x, COO):
-        raise ValueError(f"Only COO arrays are supported but {type(x)} was passed.")
+        x = x.asformat(COO)
 
     x = x.flatten()
     values = np.unique(x.data)
@@ -1213,7 +1214,7 @@ def _arg_minmax_common(
     from .core import COO
 
     if not isinstance(x, COO):
-        raise ValueError(f"Only COO arrays are supported but {type(x)} was passed.")
+        x = x.asformat(COO)
 
     if not isinstance(axis, (int, type(None))):
         raise ValueError(f"`axis` must be `int` or `None`, but it's: {type(axis)}.")

sparse/tests/test_coo.py

@@ -1773,9 +1773,7 @@ def test_unique_values(self, arr, fill_value):
 
         np.testing.assert_equal(result, expected)
 
-    @pytest.mark.parametrize(
-        "func", [sparse.unique_counts, sparse.unique_values]
-    )
+    @pytest.mark.parametrize("func", [sparse.unique_counts, sparse.unique_values])
     def test_input_validation(self, func):
-        with pytest.raises(ValueError, match=r"Only COO arrays are supported"):
+        with pytest.raises(AttributeError, match=r"object has no attribute 'asformat'"):
             func(self.arr)