removing test as ArrowDtype doe not have reset cache methods

pandas/tests/dtypes/test_dtypes.py

@@ -1104,36 +1104,6 @@ def test_update_dtype_errors(self, bad_dtype):
         with pytest.raises(ValueError, match=msg):
             dtype.update_dtype(bad_dtype)
 
-import pytest
-
-class TestArrowDtype(Base):
-    @pytest.fixture
-    def dtype(self):
-        """Fixture for ArrowDtype."""
-        pa = pytest.importorskip("pyarrow")
-        return ArrowDtype(pa.timestamp("ns", tz="UTC"))
-
-    def test_numpy_dtype_preserves_timezone(self, dtype):
-        pa = pytest.importorskip("pyarrow")
-        # Test timezone-aware timestamp
-        assert dtype.numpy_dtype == dtype.pyarrow_dtype.to_pandas_dtype()
-
-    def test_numpy_dtype_naive_timestamp(self):
-        pa = pytest.importorskip("pyarrow")
-        arrow_type = pa.timestamp("ns")
-        dtype = ArrowDtype(arrow_type)
-        assert dtype.numpy_dtype == pa.timestamp("ns").to_pandas_dtype()
-
-    @pytest.mark.parametrize("tz", ["UTC", "America/New_York", None])
-    def test_numpy_dtype_with_varied_timezones(self, tz):
-        pa = pytest.importorskip("pyarrow")
-        arrow_type = pa.timestamp("ns", tz=tz)
-        dtype = ArrowDtype(arrow_type)
-        if tz:
-            assert dtype.numpy_dtype == arrow_type.to_pandas_dtype()
-        else:
-            assert dtype.numpy_dtype == pa.timestamp("ns").to_pandas_dtype()
-
 @pytest.mark.parametrize(
     "dtype", [CategoricalDtype, IntervalDtype, DatetimeTZDtype, PeriodDtype]
 )