code: def _set_no_thousand_columns(self) -> set[int]:
      no_thousands_columns: set[int] = set()
      if self.columns and self.parse_dates:
          assert self._col_indices is not None
          no_thousands_columns = self._set_noconvert_dtype_columns(
              self._col_indices, self.columns
          )
      if self.columns and self.dtype:
          assert self._col_indices is not None
          for i, col in zip(self._col_indices, self.columns):
              if not isinstance(
                  self.dtype, dict
              ) and not is_numeric_dtype(self.dtype):
                  no_thousands_columns.add(i)
              if (
                  isinstance(self.dtype, dict)
                  and col in self.dtype
                  and (
                      not is_numeric_dtype(self.dtype[col])
                      or is_bool_dtype(self.dtype[col])
                  )
              ):
                  no_thousands_columns.add(i)
      return no_thousands_columns
  
imports: from __future__ import annotations
  from collections import abc, defaultdict
  import csv
  from io import StringIO
  import re
  from typing import IO, TYPE_CHECKING, DefaultDict, Literal, cast
  import warnings
  import numpy
  from pandas._libs import lib
  from pandas.errors import EmptyDataError, ParserError, ParserWarning
  from pandas.util._decorators import cache_readonly
  from pandas.util._exceptions import find_stack_level
  from pandas.core.dtypes.common import is_bool_dtype, is_integer, is_numeric_dtype
  from pandas.core.dtypes.inference import is_dict_like
  from pandas.io.common import dedup_names, is_potential_multi_index
  from pandas.io.parsers.base_parser import ParserBase, parser_defaults
label_desc: Use image node_id 28 for calling the PythonParser obj's underlying member method code with example usage: obj._set_no_thousand_columns() and returns: no_thousands_columns