code: def write_to_compressed(compression, path, data, dest: str = "test"):
      """
      Write data to a compressed file.
  
      Parameters
      ----------
      compression : {'gzip', 'bz2', 'zip', 'xz', 'zstd'}
          The compression type to use.
      path : str
          The file path to write the data.
      data : str
          The data to write.
      dest : str, default "test"
          The destination file (for ZIP only)
  
      Raises
      ------
      ValueError : An invalid compression value was passed in.
      """
      args: tuple[Any, ...] = (data,)
      mode = "wb"
      method = "write"
      compress_method: Callable
  
      if compression == "zip":
          compress_method = zipfile.ZipFile
          mode = "w"
          args = (dest, data)
          method = "writestr"
      elif compression == "tar":
          compress_method = tarfile.TarFile
          mode = "w"
          file = tarfile.TarInfo(name=dest)
          bytes = io.BytesIO(data)
          file.size = len(data)
          args = (file, bytes)
          method = "addfile"
      elif compression == "gzip":
          compress_method = gzip.GzipFile
      elif compression == "bz2":
          compress_method = bz2.BZ2File
      elif compression == "zstd":
          compress_method = import_optional_dependency("zstandard").open
      elif compression == "xz":
          compress_method = get_lzma_file()
      else:
          raise ValueError(
              f"Unrecognized compression type: {compression}"
          )
  
      with compress_method(path, mode=mode) as f:
          getattr(f, method)(*args)
  
imports: from __future__ import annotations
  import bz2
  from functools import wraps
  import gzip
  import io
  import socket
  import tarfile
  from typing import TYPE_CHECKING, Any, Callable
  import zipfile
  from pandas._typing import FilePath, ReadPickleBuffer
  from pandas.compat import get_lzma_file
  from pandas.compat._optional import import_optional_dependency
  import pandas
  from pandas._testing._random import rands
  from pandas._testing.contexts import ensure_clean
  from pandas.io.common import urlopen
label_desc: Use image node_id 8 for calling a global function with example usage: write_to_compressed(compression, path, data, dest) without return types