CLN: Remove private unused code (pandas-dev#57842)

* CLN: Remove private unused code

* Add back used code

Author: tqa236

pandas/_config/config.py

@@ -56,10 +56,8 @@
     TYPE_CHECKING,
     Any,
     Callable,
-    Literal,
     NamedTuple,
     cast,
-    overload,
 )
 import warnings
 
@@ -69,7 +67,6 @@
 if TYPE_CHECKING:
     from collections.abc import (
         Generator,
-        Iterable,
         Sequence,
     )
 
@@ -679,54 +676,6 @@ def _build_option_description(k: str) -> str:
     return s
 
 
-@overload
-def pp_options_list(
-    keys: Iterable[str], *, width: int = ..., _print: Literal[False] = ...
-) -> str: ...
-
-
-@overload
-def pp_options_list(
-    keys: Iterable[str], *, width: int = ..., _print: Literal[True]
-) -> None: ...
-
-
-def pp_options_list(
-    keys: Iterable[str], *, width: int = 80, _print: bool = False
-) -> str | None:
-    """Builds a concise listing of available options, grouped by prefix"""
-    from itertools import groupby
-    from textwrap import wrap
-
-    def pp(name: str, ks: Iterable[str]) -> list[str]:
-        pfx = "- " + name + ".[" if name else ""
-        ls = wrap(
-            ", ".join(ks),
-            width,
-            initial_indent=pfx,
-            subsequent_indent="  ",
-            break_long_words=False,
-        )
-        if ls and ls[-1] and name:
-            ls[-1] = ls[-1] + "]"
-        return ls
-
-    ls: list[str] = []
-    singles = [x for x in sorted(keys) if x.find(".") < 0]
-    if singles:
-        ls += pp("", singles)
-    keys = [x for x in keys if x.find(".") >= 0]
-
-    for k, g in groupby(sorted(keys), lambda x: x[: x.rfind(".")]):
-        ks = [x[len(k) + 1 :] for x in list(g)]
-        ls += pp(k, ks)
-    s = "\n".join(ls)
-    if _print:
-        print(s)
-    return s
-
-
-#
 # helpers
 
 

pandas/core/strings/accessor.py

@@ -259,7 +259,6 @@ def _wrap_result(
         expand: bool | None = None,
         fill_value=np.nan,
         returns_string: bool = True,
-        returns_bool: bool = False,
         dtype=None,
     ):
         from pandas import (

pandas/io/parsers/readers.py

@@ -20,7 +20,6 @@
     Callable,
     Generic,
     Literal,
-    NamedTuple,
     TypedDict,
     overload,
 )
@@ -563,11 +562,6 @@ class _Fwf_Defaults(TypedDict):
 }
 
 
-class _DeprecationConfig(NamedTuple):
-    default_value: Any
-    msg: str | None
-
-
 @overload
 def validate_integer(name: str, val: None, min_val: int = ...) -> None: ...
 

pandas/io/xml.py

@@ -172,7 +172,6 @@ def __init__(
         self.encoding = encoding
         self.stylesheet = stylesheet
         self.iterparse = iterparse
-        self.is_style = None
         self.compression: CompressionOptions = compression
         self.storage_options = storage_options