code: def validate_block_arguments(
      configuration: Dict[str, Any],
      block_id: int,
      previous_block_output: int,
  ) -> Tuple[int, int]:
      """Validate block arguments.
  
      Args:
          configuration: Architecture configuration.
          block_id: Block ID.
          previous_block_output: Previous block output size.
  
      Returns:
          input_size: Block input size.
          output_size: Block output size.
  
      """
      block_type = configuration.get("block_type")
  
      if block_type is None:
          raise ValueError(
              "Block %d in encoder doesn't have a type assigned. "
              % block_id
          )
  
      if block_type in ["branchformer", "conformer", "ebranchformer"]:
          if configuration.get("linear_size") is None:
              raise ValueError(
                  "Missing 'linear_size' argument for X-former block (ID: %d)"
                  % block_id
              )
  
          if configuration.get("conv_mod_kernel_size") is None:
              raise ValueError(
                  "Missing 'conv_mod_kernel_size' argument for X-former block (ID: %d)"
                  % block_id
              )
  
          input_size = configuration.get("hidden_size")
          output_size = configuration.get("hidden_size")
  
      elif block_type == "conv1d":
          output_size = configuration.get("output_size")
  
          if output_size is None:
              raise ValueError(
                  "Missing 'output_size' argument for Conv1d block (ID: %d)"
                  % block_id
              )
  
          if configuration.get("kernel_size") is None:
              raise ValueError(
                  "Missing 'kernel_size' argument for Conv1d block (ID: %d)"
                  % block_id
              )
  
          input_size = configuration[
              "input_size"
          ] = previous_block_output
      else:
          raise ValueError(
              "Block type: %s is not supported." % block_type
          )
  
      return input_size, output_size
  
imports: from typing import Any, Dict, List, Tuple
  from espnet2.asr_transducer.utils import get_convinput_module_parameters
label_desc: Use image node_id 1 for calling a global function with example usage: validate_block_arguments(configuration, block_id, previous_block_output) and returns: input_size,  output_size