code: def _parse(
      path_or_buffer: FilePath | ReadBuffer[bytes] | ReadBuffer[str],
      xpath: str,
      namespaces: dict[str, str] | None,
      elems_only: bool,
      attrs_only: bool,
      names: Sequence[str] | None,
      dtype: DtypeArg | None,
      converters: ConvertersArg | None,
      parse_dates: ParseDatesArg | None,
      encoding: str | None,
      parser: XMLParsers,
      stylesheet: FilePath | ReadBuffer[bytes] | ReadBuffer[str] | None,
      iterparse: dict[str, list[str]] | None,
      compression: CompressionOptions,
      storage_options: StorageOptions,
      dtype_backend: DtypeBackend | lib.NoDefault = lib.no_default,
      **kwargs,
  ) -> DataFrame:
      """
      Call internal parsers.
  
      This method will conditionally call internal parsers:
      LxmlFrameParser and/or EtreeParser.
  
      Raises
      ------
      ImportError
          * If lxml is not installed if selected as parser.
  
      ValueError
          * If parser is not lxml or etree.
      """
  
      p: _EtreeFrameParser | _LxmlFrameParser
  
      if parser == "lxml":
          lxml = import_optional_dependency(
              "lxml.etree", errors="ignore"
          )
  
          if lxml is not None:
              p = _LxmlFrameParser(
                  path_or_buffer,
                  xpath,
                  namespaces,
                  elems_only,
                  attrs_only,
                  names,
                  dtype,
                  converters,
                  parse_dates,
                  encoding,
                  stylesheet,
                  iterparse,
                  compression,
                  storage_options,
              )
          else:
              raise ImportError(
                  "lxml not found, please install or use the etree parser."
              )
  
      elif parser == "etree":
          p = _EtreeFrameParser(
              path_or_buffer,
              xpath,
              namespaces,
              elems_only,
              attrs_only,
              names,
              dtype,
              converters,
              parse_dates,
              encoding,
              stylesheet,
              iterparse,
              compression,
              storage_options,
          )
      else:
          raise ValueError(
              "Values for parser can only be lxml or etree."
          )
  
      data_dicts = p.parse_data()
  
      return _data_to_frame(
          data=data_dicts,
          dtype=dtype,
          converters=converters,
          parse_dates=parse_dates,
          dtype_backend=dtype_backend,
          **kwargs,
      )
  
imports: from __future__ import annotations
  import io
  from typing import Any, Callable, Sequence
  from pandas._libs import lib
  from pandas._typing import TYPE_CHECKING, CompressionOptions, ConvertersArg, DtypeArg, DtypeBackend, FilePath, ParseDatesArg, ReadBuffer, StorageOptions, XMLParsers
  from pandas.compat._optional import import_optional_dependency
  from pandas.errors import AbstractMethodError, ParserError
  from pandas.util._decorators import doc
  from pandas.util._validators import check_dtype_backend
  from pandas.core.dtypes.common import is_list_like
  from pandas.core.shared_docs import _shared_docs
  from pandas.io.common import file_exists, get_handle, infer_compression, is_fsspec_url, is_url, stringify_path
  from pandas.io.parsers import TextParser
label_desc: Use image node_id 4 for calling a global function with example usage: _parse(path_or_buffer, xpath, namespaces, elems_only, attrs_only, names, dtype, converters, parse_dates, encoding, parser, stylesheet, iterparse, compression, storage_options, dtype_backend) and returns: _data_to_frame