
import os
import unittest

from transformers import FunnelTokenizer, FunnelTokenizerFast
from transformers.models.funnel.tokenization_funnel import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class       _lowerCAmelCase  (		__magic_name__			,	unittest.TestCase							):

 """simple docstring"""
 SCREAMING_SNAKE_CASE_				:					int       						=FunnelTokenizer
 SCREAMING_SNAKE_CASE_				:					Any       						=FunnelTokenizerFast
 SCREAMING_SNAKE_CASE_				:					Any       						=True
 SCREAMING_SNAKE_CASE_				:					str       						=True

 def      __lowerCAmelCase  (						self			:			Any   ):






      """simple docstring"""



      super().setUp()

      UpperCamelCase						    =					[
          '<unk>',
          '<cls>',
          '<sep>',
          'want',
          '##want',
          '##ed',
          'wa',
          'un',
          'runn',
          '##ing',
          ',',
          'low',
          'lowest',
      ]
      UpperCamelCase						    =					os.path.join(self.tmpdirname					, VOCAB_FILES_NAMES['vocab_file']   )
      with open(self.vocab_file					, 'w'					, encoding='utf-8'   ) as vocab_writer:
           vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]   )   )

 def      __lowerCAmelCase  (						self			:			Tuple					, **SCREAMING_SNAKE_CASE__			:			Any   ):






      """simple docstring"""



      return FunnelTokenizer.from_pretrained(self.tmpdirname					, **SCREAMING_SNAKE_CASE__   )

 def      __lowerCAmelCase  (						self			:			Optional[int]					, **SCREAMING_SNAKE_CASE__			:			Any   ):






      """simple docstring"""



      return FunnelTokenizerFast.from_pretrained(self.tmpdirname					, **SCREAMING_SNAKE_CASE__   )

 def      __lowerCAmelCase  (						self			:			str					, SCREAMING_SNAKE_CASE__			:			Any   ):






      """simple docstring"""



      UpperCamelCase						    =					'UNwant\u00E9d,running'
      UpperCamelCase						    =					'unwanted, running'
      return input_text, output_text

 def      __lowerCAmelCase  (						self			:			Tuple   ):






      """simple docstring"""



      UpperCamelCase						    =					self.tokenizer_class(self.vocab_file   )

      UpperCamelCase						    =					tokenizer.tokenize('UNwant\u00E9d,running'   )
      self.assertListEqual(SCREAMING_SNAKE_CASE__					, ['un', '##want', '##ed', ',', 'runn', '##ing']   )
      self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__   )					, [7, 4, 5, 10, 8, 9]   )






 def      __lowerCAmelCase  (						self			:			Any   ):






      """simple docstring"""



      UpperCamelCase						    =					self.get_tokenizers(do_lower_case=SCREAMING_SNAKE_CASE__   )
      for tokenizer in tokenizers:
           UpperCamelCase						    =					tokenizer('UNwant\u00E9d,running'   )
           UpperCamelCase						    =					len(inputs['input_ids']   ) - 1
           self.assertListEqual(inputs['token_type_ids']					, [2] + [0] * sentence_len   )

           UpperCamelCase						    =					tokenizer('UNwant\u00E9d,running'					, 'UNwant\u00E9d,running'   )
           self.assertListEqual(inputs['token_type_ids']					, [2] + [0] * sentence_len + [1] * sentence_len   )




import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer

def  __lowerCamelCase					( _lowercase						,     _lowercase						,     _lowercase						,     _lowercase=1024			)       ->      Union[str, Any]:
     UpperCamelCase    ,		UpperCamelCase						    =					[], []

     UpperCamelCase						    =					list(zip(_lowercase						,     _lowercase			)			)
     UpperCamelCase    ,		UpperCamelCase						    =					sorted_examples[0]

     def is_too_big(_lowercase			):
          return tok(_lowercase						,     return_tensors='pt'			).input_ids.shape[1] > max_tokens

     for src, tgt in tqdm(sorted_examples[1:]			):
          UpperCamelCase						    =					new_src + ' ' + src
          UpperCamelCase						    =					new_tgt + ' ' + tgt
          if is_too_big(_lowercase			) or is_too_big(_lowercase			):  # cant fit, finalize example
               finished_src.append(_lowercase			)
               finished_tgt.append(_lowercase			)
               UpperCamelCase    ,		UpperCamelCase						    =					src, tgt
          else:  # can fit, keep adding
               UpperCamelCase    ,		UpperCamelCase						    =					cand_src, cand_tgt

    # cleanup
     if new_src:
          assert new_tgt
          finished_src.append(_lowercase			)
          finished_tgt.append(_lowercase			)
     return finished_src, finished_tgt

def  __lowerCamelCase					( _lowercase						,     _lowercase						,     _lowercase						,     _lowercase			)       ->      Union[str, Any]:
     UpperCamelCase						    =					Path(_lowercase			)
     save_path.mkdir(exist_ok=_lowercase			)
     for split in ["train"]:
          UpperCamelCase    ,		UpperCamelCase						    =					data_dir / F'{split}.source', data_dir / F'{split}.target'
          UpperCamelCase						    =					[x.rstrip() for x in Path(_lowercase			).open().readlines()]
          UpperCamelCase						    =					[x.rstrip() for x in Path(_lowercase			).open().readlines()]
          UpperCamelCase    ,		UpperCamelCase						    =					pack_examples(_lowercase						,     _lowercase						,     _lowercase						,     _lowercase			)
          print(F'packed {split} split from {len(_lowercase			)} examples -> {len(_lowercase			)}.'			)
          Path(save_path / F'{split}.source'			).open('w'			).write('\n'.join(_lowercase			)			)
          Path(save_path / F'{split}.target'			).open('w'			).write('\n'.join(_lowercase			)			)
     for split in ["val", "test"]:
          UpperCamelCase    ,		UpperCamelCase						    =					data_dir / F'{split}.source', data_dir / F'{split}.target'
          shutil.copyfile(_lowercase						,     save_path / F'{split}.source'			)
          shutil.copyfile(_lowercase						,     save_path / F'{split}.target'			)

def  __lowerCamelCase					( )       ->      Union[str, Any]:
     UpperCamelCase						    =					argparse.ArgumentParser()
     parser.add_argument('--tok_name'						,     type=_lowercase						,     help='like facebook/bart-large-cnn,t5-base, etc.'			)
     parser.add_argument('--max_seq_len'						,     type=_lowercase						,     default=128			)
     parser.add_argument('--data_dir'						,     type=_lowercase			)
     parser.add_argument('--save_path'						,     type=_lowercase			)
     UpperCamelCase						    =					parser.parse_args()
     UpperCamelCase						    =					AutoTokenizer.from_pretrained(args.tok_name			)
     return pack_data_dir(_lowercase						,     Path(args.data_dir			)						,     args.max_seq_len						,     args.save_path			)


if __name__ == "__main__":
 packer_cli()


