REF: Move checks to object into a variable (pandas-dev#54536)

Author: phofl

pandas/tests/strings/__init__.py

@@ -0,0 +1,2 @@
+# Needed for new arrow string dtype
+object_pyarrow_numpy = ("object",)

pandas/tests/strings/test_find_replace.py

@@ -11,6 +11,7 @@
     Series,
     _testing as tm,
 )
+from pandas.tests.strings import object_pyarrow_numpy
 
 # --------------------------------------------------------------------------------------
 # str.contains
@@ -25,7 +26,7 @@ def test_contains(any_string_dtype):
     pat = "mmm[_]+"
 
     result = values.str.contains(pat)
-    expected_dtype = "object" if any_string_dtype == "object" else "boolean"
+    expected_dtype = "object" if any_string_dtype in object_pyarrow_numpy else "boolean"
     expected = Series(
         np.array([False, np.nan, True, True, False], dtype=np.object_),
         dtype=expected_dtype,
@@ -44,7 +45,7 @@ def test_contains(any_string_dtype):
         dtype=any_string_dtype,
     )
     result = values.str.contains(pat)
-    expected_dtype = np.bool_ if any_string_dtype == "object" else "boolean"
+    expected_dtype = np.bool_ if any_string_dtype in object_pyarrow_numpy else "boolean"
     expected = Series(np.array([False, False, True, True]), dtype=expected_dtype)
     tm.assert_series_equal(result, expected)
 
@@ -71,14 +72,14 @@ def test_contains(any_string_dtype):
     pat = "mmm[_]+"
 
     result = values.str.contains(pat)
-    expected_dtype = "object" if any_string_dtype == "object" else "boolean"
+    expected_dtype = "object" if any_string_dtype in object_pyarrow_numpy else "boolean"
     expected = Series(
         np.array([False, np.nan, True, True], dtype=np.object_), dtype=expected_dtype
     )
     tm.assert_series_equal(result, expected)
 
     result = values.str.contains(pat, na=False)
-    expected_dtype = np.bool_ if any_string_dtype == "object" else "boolean"
+    expected_dtype = np.bool_ if any_string_dtype in object_pyarrow_numpy else "boolean"
     expected = Series(np.array([False, False, True, True]), dtype=expected_dtype)
     tm.assert_series_equal(result, expected)
 
@@ -163,7 +164,7 @@ def test_contains_moar(any_string_dtype):
     )
 
     result = s.str.contains("a")
-    expected_dtype = "object" if any_string_dtype == "object" else "boolean"
+    expected_dtype = "object" if any_string_dtype in object_pyarrow_numpy else "boolean"
     expected = Series(
         [False, False, False, True, True, False, np.nan, False, False, True],
         dtype=expected_dtype,
@@ -204,7 +205,7 @@ def test_contains_nan(any_string_dtype):
     s = Series([np.nan, np.nan, np.nan], dtype=any_string_dtype)
 
     result = s.str.contains("foo", na=False)
-    expected_dtype = np.bool_ if any_string_dtype == "object" else "boolean"
+    expected_dtype = np.bool_ if any_string_dtype in object_pyarrow_numpy else "boolean"
     expected = Series([False, False, False], dtype=expected_dtype)
     tm.assert_series_equal(result, expected)
 
@@ -220,7 +221,7 @@ def test_contains_nan(any_string_dtype):
     tm.assert_series_equal(result, expected)
 
     result = s.str.contains("foo")
-    expected_dtype = "object" if any_string_dtype == "object" else "boolean"
+    expected_dtype = "object" if any_string_dtype in object_pyarrow_numpy else "boolean"
     expected = Series([np.nan, np.nan, np.nan], dtype=expected_dtype)
     tm.assert_series_equal(result, expected)
 
@@ -648,7 +649,7 @@ def test_replace_regex_single_character(regex, any_string_dtype):
 
 def test_match(any_string_dtype):
     # New match behavior introduced in 0.13
-    expected_dtype = "object" if any_string_dtype == "object" else "boolean"
+    expected_dtype = "object" if any_string_dtype in object_pyarrow_numpy else "boolean"
 
     values = Series(["fooBAD__barBAD", np.nan, "foo"], dtype=any_string_dtype)
     result = values.str.match(".*(BAD[_]+).*(BAD)")
@@ -703,20 +704,20 @@ def test_match_na_kwarg(any_string_dtype):
     s = Series(["a", "b", np.nan], dtype=any_string_dtype)
 
     result = s.str.match("a", na=False)
-    expected_dtype = np.bool_ if any_string_dtype == "object" else "boolean"
+    expected_dtype = np.bool_ if any_string_dtype in object_pyarrow_numpy else "boolean"
     expected = Series([True, False, False], dtype=expected_dtype)
     tm.assert_series_equal(result, expected)
 
     result = s.str.match("a")
-    expected_dtype = "object" if any_string_dtype == "object" else "boolean"
+    expected_dtype = "object" if any_string_dtype in object_pyarrow_numpy else "boolean"
     expected = Series([True, False, np.nan], dtype=expected_dtype)
     tm.assert_series_equal(result, expected)
 
 
 def test_match_case_kwarg(any_string_dtype):
     values = Series(["ab", "AB", "abc", "ABC"], dtype=any_string_dtype)
     result = values.str.match("ab", case=False)
-    expected_dtype = np.bool_ if any_string_dtype == "object" else "boolean"
+    expected_dtype = np.bool_ if any_string_dtype in object_pyarrow_numpy else "boolean"
     expected = Series([True, True, True, True], dtype=expected_dtype)
     tm.assert_series_equal(result, expected)
 
@@ -732,7 +733,7 @@ def test_fullmatch(any_string_dtype):
         ["fooBAD__barBAD", "BAD_BADleroybrown", np.nan, "foo"], dtype=any_string_dtype
     )
     result = ser.str.fullmatch(".*BAD[_]+.*BAD")
-    expected_dtype = "object" if any_string_dtype == "object" else "boolean"
+    expected_dtype = "object" if any_string_dtype in object_pyarrow_numpy else "boolean"
     expected = Series([True, False, np.nan, False], dtype=expected_dtype)
     tm.assert_series_equal(result, expected)
 
@@ -742,14 +743,14 @@ def test_fullmatch_na_kwarg(any_string_dtype):
         ["fooBAD__barBAD", "BAD_BADleroybrown", np.nan, "foo"], dtype=any_string_dtype
     )
     result = ser.str.fullmatch(".*BAD[_]+.*BAD", na=False)
-    expected_dtype = np.bool_ if any_string_dtype == "object" else "boolean"
+    expected_dtype = np.bool_ if any_string_dtype in object_pyarrow_numpy else "boolean"
     expected = Series([True, False, False, False], dtype=expected_dtype)
     tm.assert_series_equal(result, expected)
 
 
 def test_fullmatch_case_kwarg(any_string_dtype):
     ser = Series(["ab", "AB", "abc", "ABC"], dtype=any_string_dtype)
-    expected_dtype = np.bool_ if any_string_dtype == "object" else "boolean"
+    expected_dtype = np.bool_ if any_string_dtype in object_pyarrow_numpy else "boolean"
 
     expected = Series([True, False, False, False], dtype=expected_dtype)
 
@@ -877,7 +878,7 @@ def test_find_nan(any_string_dtype):
     ser = Series(
         ["ABCDEFG", np.nan, "DEFGHIJEF", np.nan, "XXXX"], dtype=any_string_dtype
     )
-    expected_dtype = np.float64 if any_string_dtype == "object" else "Int64"
+    expected_dtype = np.float64 if any_string_dtype in object_pyarrow_numpy else "Int64"
 
     result = ser.str.find("EF")
     expected = Series([4, np.nan, 1, np.nan, -1], dtype=expected_dtype)

pandas/tests/strings/test_strings.py

@@ -14,6 +14,7 @@
 )
 import pandas._testing as tm
 from pandas.core.strings.accessor import StringMethods
+from pandas.tests.strings import object_pyarrow_numpy
 
 
 @pytest.mark.parametrize("pattern", [0, True, Series(["foo", "bar"])])
@@ -40,7 +41,7 @@ def test_iter_raises():
 def test_count(any_string_dtype):
     ser = Series(["foo", "foofoo", np.nan, "foooofooofommmfoo"], dtype=any_string_dtype)
     result = ser.str.count("f[o]+")
-    expected_dtype = np.float64 if any_string_dtype == "object" else "Int64"
+    expected_dtype = np.float64 if any_string_dtype in object_pyarrow_numpy else "Int64"
     expected = Series([1, 2, np.nan, 4], dtype=expected_dtype)
     tm.assert_series_equal(result, expected)
 
@@ -91,7 +92,7 @@ def test_repeat_with_null(any_string_dtype, arg, repeat):
 
 def test_empty_str_methods(any_string_dtype):
     empty_str = empty = Series(dtype=any_string_dtype)
-    if any_string_dtype == "object":
+    if any_string_dtype in object_pyarrow_numpy:
         empty_int = Series(dtype="int64")
         empty_bool = Series(dtype=bool)
     else:
@@ -205,7 +206,7 @@ def test_ismethods(method, expected, any_string_dtype):
     ser = Series(
         ["A", "b", "Xy", "4", "3A", "", "TT", "55", "-", "  "], dtype=any_string_dtype
     )
-    expected_dtype = "bool" if any_string_dtype == "object" else "boolean"
+    expected_dtype = "bool" if any_string_dtype in object_pyarrow_numpy else "boolean"
     expected = Series(expected, dtype=expected_dtype)
     result = getattr(ser.str, method)()
     tm.assert_series_equal(result, expected)
@@ -230,7 +231,7 @@ def test_isnumeric_unicode(method, expected, any_string_dtype):
     ser = Series(
         ["A", "3", "¼", "★", "፸", "３", "four"], dtype=any_string_dtype  # noqa: RUF001
     )
-    expected_dtype = "bool" if any_string_dtype == "object" else "boolean"
+    expected_dtype = "bool" if any_string_dtype in object_pyarrow_numpy else "boolean"
     expected = Series(expected, dtype=expected_dtype)
     result = getattr(ser.str, method)()
     tm.assert_series_equal(result, expected)
@@ -250,7 +251,7 @@ def test_isnumeric_unicode(method, expected, any_string_dtype):
 def test_isnumeric_unicode_missing(method, expected, any_string_dtype):
     values = ["A", np.nan, "¼", "★", np.nan, "３", "four"]  # noqa: RUF001
     ser = Series(values, dtype=any_string_dtype)
-    expected_dtype = "object" if any_string_dtype == "object" else "boolean"
+    expected_dtype = "object" if any_string_dtype in object_pyarrow_numpy else "boolean"
     expected = Series(expected, dtype=expected_dtype)
     result = getattr(ser.str, method)()
     tm.assert_series_equal(result, expected)
@@ -280,7 +281,7 @@ def test_len(any_string_dtype):
         dtype=any_string_dtype,
     )
     result = ser.str.len()
-    expected_dtype = "float64" if any_string_dtype == "object" else "Int64"
+    expected_dtype = "float64" if any_string_dtype in object_pyarrow_numpy else "Int64"
     expected = Series([3, 4, 6, np.nan, 8, 4, 1], dtype=expected_dtype)
     tm.assert_series_equal(result, expected)
 
@@ -309,7 +310,7 @@ def test_index(method, sub, start, end, index_or_series, any_string_dtype, expec
     obj = index_or_series(
         ["ABCDEFG", "BCDEFEF", "DEFGHIJEF", "EFGHEF"], dtype=any_string_dtype
     )
-    expected_dtype = np.int64 if any_string_dtype == "object" else "Int64"
+    expected_dtype = np.int64 if any_string_dtype in object_pyarrow_numpy else "Int64"
     expected = index_or_series(expected, dtype=expected_dtype)
 
     result = getattr(obj.str, method)(sub, start, end)
@@ -350,7 +351,7 @@ def test_index_wrong_type_raises(index_or_series, any_string_dtype, method):
 )
 def test_index_missing(any_string_dtype, method, exp):
     ser = Series(["abcb", "ab", "bcbe", np.nan], dtype=any_string_dtype)
-    expected_dtype = np.float64 if any_string_dtype == "object" else "Int64"
+    expected_dtype = np.float64 if any_string_dtype in object_pyarrow_numpy else "Int64"
 
     result = getattr(ser.str, method)("b")
     expected = Series(exp + [np.nan], dtype=expected_dtype)