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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def read_vocab_file(file_path):
 """Reads a vocab file to memeory. Args: file_path: Each line of the vocab is in the form "token,example_count" Returns: Two lists, one for the vocab, and one for just the example counts. """

  with file_io.FileIO(file_path, 'r') as f:
    vocab_pd = pd.read_csv(
        f,
        header=None,
        names=['vocab', 'count'],
        dtype=str,  # Prevent pd from converting numerical categories.
        na_filter=False)  # Prevent pd from converting 'NA' to a NaN.

  vocab = vocab_pd['vocab'].tolist()
  ex_count = vocab_pd['count'].astype(int).tolist()

  return vocab, ex_count