code: def check_module_vars(
      hparam_file,
      script_file,
      module_key="modules:",
      module_var="self.modules.",
  ):
      """Checks if the variables self.moduled.var are properly declared in the
      hparam file.
  
      Arguments
      ---------
      hparam_file : path
          Path of the yaml file containing the hyperparameters.
      script_file : path
          Path of the script file (.py) containing the training recipe.
      module_key: string
          String that denoted the start of the module in the hparam file.
      module_var: string
          String that denoted the start of the module in the script file.
      Returns
      -------
      Bool
          This function returns False if some mismatch is detected and True otherwise.
          An error is raised to inform about which variable has been used but
          not declared.
      """
      stop_char = [
          " ",
          ",",
          "(",
          ")",
          "[",
          "]",
          "{",
          "}",
          ".",
          ":",
          "\n",
      ]
      module_block = False
      end_block = [" ", "\t"]
      avoid_lst = ["parameters", "keys", "eval", "train"]
  
      # Extract Modules variables from the hparam file
      module_vars_hparams = []
      with open(hparam_file) as f:
          for line in f:
              if module_key in line:
                  module_block = True
                  continue
              if line[0] not in end_block:
                  module_block = False
  
              if module_block:
                  var = line.strip().split(":")[0]
                  module_vars_hparams.append(var)
  
      # Extract Modules variables from the script file
      with open(script_file) as file:
          lines = file.readlines()
          lines = [line.rstrip() for line in lines]
  
      module_var_script = extract_patterns(lines, module_var, stop_char)
      module_var_script = set(module_var_script)
      for avoid in avoid_lst:
          if avoid in module_var_script:
              module_var_script.remove(avoid)
  
      # Remove optional variables "if hasattr(self.modules, "env_corrupt"):"
      stop_char.append('"')
      opt_vars = extract_patterns(
          lines, 'if hasattr(self.modules, "', stop_char
      )
      opt_vars.extend(
          extract_patterns(
              lines, 'if hasattr(self.hparams, "', stop_char
          )
      )
  
      # Remove optional
      for avoid in set(opt_vars):
          if avoid in module_var_script:
              module_var_script.remove(avoid)
  
      # Check Module variavles
      unused_vars = list(
          set(module_var_script) - set(module_vars_hparams)
      )
  
      for unused_var in unused_vars:
          print(
              '\tERROR: variable "self.modules.%s" used in %s, but not listed in the "modules:" section of %s'
              % (unused_var, script_file, hparam_file)
          )
      return len(unused_vars) == 0
  
imports: import os
  import re
  from speechbrain.core import run_opt_defaults
label_desc: Use image node_id 5 for calling a global function with example usage: check_module_vars(hparam_file, script_file, module_key, module_var) and returns: unknown