diff --git a/pandas/io/parsers/base_parser.py b/pandas/io/parsers/base_parser.py
index 7294efe843cce..dd03956a9a60e 100644
--- a/pandas/io/parsers/base_parser.py
+++ b/pandas/io/parsers/base_parser.py
@@ -112,8 +112,7 @@ def __init__(self, kwds) -> None:
             parse_dates = bool(parse_dates)
         elif not isinstance(parse_dates, list):
             raise TypeError(
-                "Only booleans and lists are accepted "
-                "for the 'parse_dates' parameter"
+                "Only booleans and lists are accepted for the 'parse_dates' parameter"
             )
         self.parse_dates: bool | list = parse_dates
         self.date_parser = kwds.pop("date_parser", lib.no_default)
@@ -244,7 +243,7 @@ def extract(r):
             names.insert(single_ic, single_ic)
 
         # Clean the column names (if we have an index_col).
-        if len(ic):
+        if ic:
             col_names = [
                 r[ic[0]]
                 if ((r[ic[0]] is not None) and r[ic[0]] not in self.unnamed_cols)
@@ -368,7 +367,7 @@ def _agg_index(self, index) -> Index:
                     index_converter = converters.get(self.index_names[i]) is not None
 
             try_num_bool = not (
-                cast_type and is_string_dtype(cast_type) or index_converter
+                (cast_type and is_string_dtype(cast_type)) or index_converter
             )
 
             arr, _ = self._infer_types(
@@ -716,7 +715,7 @@ def _get_empty_meta(
             # if dtype == None, default will be object.
             dtype_dict = defaultdict(lambda: dtype)
         else:
-            dtype = cast(dict, dtype)
+            dtype = cast("dict", dtype)
             dtype_dict = defaultdict(
                 lambda: None,
                 {columns[k] if is_integer(k) else k: v for k, v in dtype.items()},
@@ -895,15 +894,16 @@ def validate_parse_dates_presence(
     if not isinstance(parse_dates, list):
         return set()
 
+    columns_set = set(columns)
     missing = set()
     unique_cols = set()
     for col in parse_dates:
         if isinstance(col, str):
-            if col not in columns:
+            if col not in columns_set:
                 missing.add(col)
             else:
                 unique_cols.add(col)
-        elif col in columns:
+        elif col in columns_set:
             unique_cols.add(col)
         else:
             unique_cols.add(columns[col])