code: def get_data_from_filepath(
      filepath_or_buffer: FilePath
      | bytes
      | ReadBuffer[bytes]
      | ReadBuffer[str],
      encoding: str | None,
      compression: CompressionOptions,
      storage_options: StorageOptions,
  ) -> str | bytes | ReadBuffer[bytes] | ReadBuffer[str]:
      """
      Extract raw XML data.
  
      The method accepts three input types:
          1. filepath (string-like)
          2. file-like object (e.g. open file object, StringIO)
          3. XML string or bytes
  
      This method turns (1) into (2) to simplify the rest of the processing.
      It returns input types (2) and (3) unchanged.
      """
      if not isinstance(filepath_or_buffer, bytes):
          filepath_or_buffer = stringify_path(filepath_or_buffer)
  
      if (
          isinstance(filepath_or_buffer, str)
          and not filepath_or_buffer.startswith(("<?xml", "<"))
      ) and (
          not isinstance(filepath_or_buffer, str)
          or is_url(filepath_or_buffer)
          or is_fsspec_url(filepath_or_buffer)
          or file_exists(filepath_or_buffer)
      ):
          with get_handle(
              filepath_or_buffer,
              "r",
              encoding=encoding,
              compression=compression,
              storage_options=storage_options,
          ) as handle_obj:
              filepath_or_buffer = (
                  handle_obj.handle.read()
                  if hasattr(handle_obj.handle, "read")
                  else handle_obj.handle
              )
  
      return filepath_or_buffer
  
imports: from __future__ import annotations
  import io
  from os import PathLike
  from typing import TYPE_CHECKING, Any, Callable
  import warnings
  from pandas._libs import lib
  from pandas.compat._optional import import_optional_dependency
  from pandas.errors import AbstractMethodError, ParserError
  from pandas.util._decorators import doc
  from pandas.util._exceptions import find_stack_level
  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_file_like, is_fsspec_url, is_url, stringify_path
  from pandas.io.parsers import TextParser
label_desc: Use image node_id 1 for calling a global function with example usage: get_data_from_filepath(filepath_or_buffer, encoding, compression, storage_options) and returns: filepath_or_buffer