code: def check_global_max_sequence_length_fits_prompt_template(
      metadata, global_preprocessing_parameters
  ):
      """Checks that the prompt template fits within the global max sequence length."""
  
      if (
          "global_max_sequence_length"
          in global_preprocessing_parameters
          and global_preprocessing_parameters[
              "global_max_sequence_length"
          ]
          is not None
      ):
          for feature_name, feature_metadata in metadata.items():
              if (
                  "prompt_template_num_tokens" in feature_metadata
                  and feature_metadata["prompt_template_num_tokens"]
                  > global_preprocessing_parameters[
                      "global_max_sequence_length"
                  ]
              ):
                  raise ValueError(
                      f'The prompt contains ({feature_metadata["prompt_template_num_tokens"]}) tokens, which is more '
                      f"than the the global_max_sequence_length "
                      f'({global_preprocessing_parameters["global_max_sequence_length"]}), which will remove all unique '
                      "information. Shorten the prompt, or increase the global max sequence length to > "
                      f'({feature_metadata["prompt_template_num_tokens"]}) to include the full prompt.'
                  )
  
label_desc: Use image node_id 1 for calling a global function with example usage: check_global_max_sequence_length_fits_prompt_template(metadata, global_preprocessing_parameters) without return types