code: def parse_scripts(
      scp_path, value_processor=lambda x: x, num_tokens=2
  ):
      """
      Parse kaldi's script(.scp) file
      If num_tokens >= 2, function will check token number
      """
      scp_dict = dict()
      line = 0
      with open(scp_path, "r") as f:
          for raw_line in f:
              scp_tokens = raw_line.strip().split()
              line += 1
              if (
                  num_tokens >= 2
                  and len(scp_tokens) != num_tokens
                  or len(scp_tokens) < 2
              ):
                  raise RuntimeError(
                      "For {}, format error in line[{:d}]: {}".format(
                          scp_path, line, raw_line
                      )
                  )
              if num_tokens == 2:
                  key, value = scp_tokens
              else:
                  key, value = scp_tokens[0], scp_tokens[1:]
              if key in scp_dict:
                  raise ValueError(
                      "Duplicated key '{0}' exists in {1}".format(
                          key, scp_path
                      )
                  )
              scp_dict[key] = value_processor(value)
      return scp_dict
  
imports: import cvtransforms
  import face_alignment
  import numpy
  import skimage.transform
  import skvideo.io
  import torch
  from models import pretrained
label_desc: Use image node_id 2 for calling a global function with example usage: parse_scripts(scp_path, value_processor, num_tokens) and returns: scp_dict