code: def __init__(self, kwds) -> None:
      self.names = kwds.get("names")
      self.orig_names: Sequence[Hashable] | None = None
  
      self.index_col = kwds.get("index_col", None)
      self.unnamed_cols: set = set()
      self.index_names: Sequence[Hashable] | None = None
      self.col_names: Sequence[Hashable] | None = None
  
      self.parse_dates = _validate_parse_dates_arg(
          kwds.pop("parse_dates", False)
      )
      self._parse_date_cols: Iterable = []
      self.date_parser = kwds.pop("date_parser", lib.no_default)
      self.date_format = kwds.pop("date_format", None)
      self.dayfirst = kwds.pop("dayfirst", False)
      self.keep_date_col = kwds.pop("keep_date_col", False)
  
      self.na_values = kwds.get("na_values")
      self.na_fvalues = kwds.get("na_fvalues")
      self.na_filter = kwds.get("na_filter", False)
      self.keep_default_na = kwds.get("keep_default_na", True)
  
      self.dtype = copy(kwds.get("dtype", None))
      self.converters = kwds.get("converters")
      self.dtype_backend = kwds.get("dtype_backend")
  
      self.true_values = kwds.get("true_values")
      self.false_values = kwds.get("false_values")
      self.cache_dates = kwds.pop("cache_dates", True)
  
      self._date_conv = _make_date_converter(
          date_parser=self.date_parser,
          date_format=self.date_format,
          dayfirst=self.dayfirst,
          cache_dates=self.cache_dates,
      )
  
      # validate header options for mi
      self.header = kwds.get("header")
      if is_list_like(self.header, allow_sets=False):
          if kwds.get("usecols"):
              raise ValueError(
                  "cannot specify usecols when specifying a multi-index header"
              )
          if kwds.get("names"):
              raise ValueError(
                  "cannot specify names when specifying a multi-index header"
              )
  
          # validate index_col that only contains integers
          if self.index_col is not None:
              if not (
                  is_list_like(self.index_col, allow_sets=False)
                  and all(map(is_integer, self.index_col))
                  or is_integer(self.index_col)
              ):
                  raise ValueError(
                      "index_col must only contain row numbers "
                      "when specifying a multi-index header"
                  )
  
      self._name_processed = False
  
      self._first_chunk = True
  
      self.usecols, self.usecols_dtype = self._validate_usecols_arg(
          kwds["usecols"]
      )
  
      # Fallback to error to pass a sketchy test(test_override_set_noconvert_columns)
      # Normally, this arg would get pre-processed earlier on
      self.on_bad_lines = kwds.get(
          "on_bad_lines", self.BadLineHandleMethod.ERROR
      )
  
imports: from __future__ import annotations
  from collections import defaultdict
  from copy import copy
  import csv
  import datetime
  from enum import Enum
  import itertools
  from typing import TYPE_CHECKING, Any, Callable, Hashable, Iterable, List, Mapping, Sequence, Tuple, cast, final, overload
  import warnings
  import numpy
  from pandas._libs import lib, parsers
  import pandas._libs.ops
  from pandas._libs.parsers import STR_NA_VALUES
  from pandas._libs.tslibs import parsing
  from pandas._typing import ArrayLike, DtypeArg, DtypeObj, Scalar
  from pandas.compat._optional import import_optional_dependency
  from pandas.errors import ParserError, ParserWarning
  from pandas.util._exceptions import find_stack_level
  from pandas.core.dtypes.astype import astype_array
  from pandas.core.dtypes.common import ensure_object, is_bool_dtype, is_dict_like, is_dtype_equal, is_extension_array_dtype, is_float_dtype, is_integer, is_integer_dtype, is_list_like, is_object_dtype, is_scalar, is_string_dtype, pandas_dtype
  from pandas.core.dtypes.dtypes import CategoricalDtype, ExtensionDtype
  from pandas.core.dtypes.missing import isna
  from pandas import ArrowDtype, DatetimeIndex, StringDtype
  from pandas.core import algorithms
  from pandas.core.arrays import ArrowExtensionArray, BooleanArray, Categorical, ExtensionArray, FloatingArray, IntegerArray
  from pandas.core.arrays.boolean import BooleanDtype
  from pandas.core.indexes.api import Index, MultiIndex, default_index, ensure_index_from_sequences
  from pandas.core.series import Series
  from pandas.core.tools import datetimes
  from pandas.io.common import is_potential_multi_index
label_desc: Use image node_id 1 to create a new ParserBase object  with example: obj = ParserBase(kwds)