docstr: Encode a set of lines. All lines will be encoded together.
docstr_tok: ["Encode","a","set","of","lines",".","All","lines","will","be","encoded","together","."]
code: def encode_lines(self, lines):
      """
      Encode a set of lines. All lines will be encoded together.
      """
      enc_lines = []
      for line in lines:
          line = line.strip()
          if len(line) == 0 and not self.args.keep_empty:
              return ["EMPTY", None]
          tokens = self.encode(line)
          enc_lines.append(" ".join(tokens))
      return ["PASS", enc_lines]
  
file_path: fairseq/examples/roberta/multiprocessing_bpe_encoder.py
imports: import argparse
  import contextlib
  import sys
  from collections import Counter
  from multiprocessing import Pool
  from fairseq.data.encoders.gpt2_bpe import get_encoder
label_desc: Use image node_id 5 for calling the MultiprocessingEncoder obj's underlying member method code with example usage: obj.encode_lines(lines) and returns: list, list