code: def detect_backend(
      backend: Optional[Union[str, DisplayBackend]] = None
  ) -> DisplayBackend:
      if backend is None:
          if IN_DATABRICKS:
              return DatabricksBackend()
  
          is_notebook = _is_in_jupyter_notebook()
  
          if not is_notebook:
              return CLIBackend()
  
          if IN_COLAB:
              return ColabBackend()
  
          return JupyterBackend()
  
      if isinstance(backend, str):
          backends: Dict[str, Any] = {
              b.id: b
              for b in {
                  CLIBackend,
                  JupyterBackend,
                  ColabBackend,
                  DatabricksBackend,
                  SilentBackend,
              }
          }
          backend_id = backend.lower()
          backend = backends.get(backend_id, None)
          if not backend:
              raise ValueError(
                  f"Wrong backend id. Got {backend_id}, expected one of {list(backends.keys())}."
              )
          return backend()
  
      if isinstance(backend, DisplayBackend):
          return backend
  
      raise TypeError(
          f"Wrong backend type. Expected None, str or DisplayBackend, got {type(backend)}."
      )
  
imports: from abc import ABC, abstractmethod
  from pprint import pprint
  from typing import Any, Dict, Optional, Union
  import pandas
  from IPython.display import HTML, DisplayHandle, clear_output
  from IPython.display import display
  from pandas.io.formats.style import Styler
label_desc: Use image node_id 4 for calling a global function with example usage: detect_backend(backend) and returns: JupyterBackend, backend, backend, DatabricksBackend, CLIBackend, ColabBackend