code: def calc_scores(scores_file, tfidf_w, cval_w, lm_w, output_path):
      """
      Given a topic list with tf_idf,c_value,language_model scores, compute
       a final score for each phrases group according to the given weights
  
      Args:
          scores_file (String): A path to the file with groups and raw scores
          tfidf_w (Float): the TF_IDF weight for the final score calculation
          cval_w (Float): the C_Value weight for the final score calculation
          lm_w (Float): the Language-Model weight for the final score calculation
          output_path: A path for the output file of final scores (String)
      """
      logger.info(
          "calculating scores for file: %s with: tfidf_w=%s, cval_w=%s,"
          " freq_w=%s",
          scores_file,
          str(tfidf_w),
          str(cval_w),
          str(lm_w),
      )
      with open(
          scores_file, encoding="utf-8", errors="ignore"
      ) as csv_file:
          lines = csv.reader(
              (x.replace("\0", "") for x in csv_file), delimiter=","
          )
          final_list = []
          for group, tfidf, cval, freq in lines:
              score = (
                  (float(tfidf) * tfidf_w)
                  + (float(cval) * cval_w)
                  + (float(freq) * lm_w)
              )
              final_list.append((group, score))
          sorted_list = sorted(
              final_list, key=lambda tup: tup[1], reverse=True
          )
      save_scores_list(sorted_list, output_path)
  
imports: import argparse
  import csv
  import logging
  import operator
  import os
  import sys
  from os import path
  from pathlib import Path
  from shutil import copyfile
  import numpy
  import pandas
  from sklearn.manifold import TSNE
  from nlp_architect import LIBRARY_OUT
  from nlp_architect.utils.embedding import FasttextEmbeddingsModel
  from nlp_architect.utils.io import check_size, validate_existing_filepath
  from nlp_architect.utils.text import simple_normalizer
label_desc: Use image node_id 4 for calling a global function with example usage: calc_scores(scores_file, tfidf_w, cval_w, lm_w, output_path) without return types