code: def _next_line(self) -> list[Scalar]:
      if isinstance(self.data, list):
          while self.skipfunc(self.pos):
              if self.pos >= len(self.data):
                  break
              self.pos += 1
  
          while True:
              try:
                  line = self._check_comments([self.data[self.pos]])[0]
                  self.pos += 1
                  # either uncommented or blank to begin with
                  if not self.skip_blank_lines and (
                      self._is_line_empty(self.data[self.pos - 1])
                      or line
                  ):
                      break
                  if self.skip_blank_lines:
                      ret = self._remove_empty_lines([line])
                      if ret:
                          line = ret[0]
                          break
              except IndexError:
                  raise StopIteration
      else:
          while self.skipfunc(self.pos):
              self.pos += 1
              next(self.data)
  
          while True:
              orig_line = self._next_iter_line(row_num=self.pos + 1)
              self.pos += 1
  
              if orig_line is not None:
                  line = self._check_comments([orig_line])[0]
  
                  if self.skip_blank_lines:
                      ret = self._remove_empty_lines([line])
  
                      if ret:
                          line = ret[0]
                          break
                  elif self._is_line_empty(orig_line) or line:
                      break
  
      # This was the first line of the file,
      # which could contain the BOM at the
      # beginning of it.
      if self.pos == 1:
          line = self._check_for_bom(line)
  
      self.line_pos += 1
      self.buf.append(line)
      return line
  
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 15 for calling the PythonParser obj's underlying member method code with example usage: obj._next_line() and returns: line