BUG: Series.any and Series.all for empty or all-null pyarrow-backed dtypes (pandas-dev#51631)

* BUG: ArrowExtensionArray boolean reductions for empty or all null array

* whatsnew

* clarify whatsnew

Author: lukemanley

pandas/tests/extension/test_arrow.py

@@ -2325,29 +2325,3 @@ def test_boolean_reduce_series_all_null(all_boolean_reductions, skipna):
     else:
         expected = pd.NA
     assert result is expected
-
-
-def test_from_sequence_of_strings_boolean():
-    true_strings = ["true", "TRUE", "True", "1", "1.0"]
-    false_strings = ["false", "FALSE", "False", "0", "0.0"]
-    nulls = [None]
-    strings = true_strings + false_strings + nulls
-    bools = (
-        [True] * len(true_strings) + [False] * len(false_strings) + [None] * len(nulls)
-    )
-
-    result = ArrowExtensionArray._from_sequence_of_strings(strings, dtype=pa.bool_())
-    expected = pd.array(bools, dtype="boolean[pyarrow]")
-    tm.assert_extension_array_equal(result, expected)
-
-    strings = ["True", "foo"]
-    with pytest.raises(pa.ArrowInvalid, match="Failed to parse"):
-        ArrowExtensionArray._from_sequence_of_strings(strings, dtype=pa.bool_())
-
-
-def test_concat_empty_arrow_backed_series(dtype):
-    # GH#51734
-    ser = pd.Series([], dtype=dtype)
-    expected = ser.copy()
-    result = pd.concat([ser[np.array([], dtype=np.bool_)]])
-    tm.assert_series_equal(result, expected)