


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 			_a				(     UpperCamelCase__	,      unittest.TestCase     ):
							_lowercase      :     str     =					FunnelTokenizer
							_lowercase      :     Optional[int]     =					FunnelTokenizerFast
							_lowercase      :     int     =					True
							_lowercase      :     Union[str, Any]     =					True

							def  lowerCamelCase_					(				self:      Any				)     ->  str:





									"""simple docstring"""







									super().setUp()

									lowercase__				= [
									    '''<unk>''',
									    '''<cls>''',
									    '''<sep>''',
									    '''want''',
									    '''##want''',
									    '''##ed''',
									    '''wa''',
									    '''un''',
									    '''runn''',
									    '''##ing''',
									    ''',''',
									    '''low''',
									    '''lowest''',
									]
									lowercase__				= 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:      Union[str, Any]       ,		**UpperCamelCase_:      List[str]				)     ->  Tuple:





									"""simple docstring"""







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

							def  lowerCamelCase_					(				self:      List[str]       ,		**UpperCamelCase_:      List[str]				)     ->  str:





									"""simple docstring"""







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

							def  lowerCamelCase_					(				self:      Any       ,		UpperCamelCase_:      Tuple				)     ->  List[Any]:





									"""simple docstring"""







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

							def  lowerCamelCase_					(				self:      Dict				)     ->  Optional[int]:





									"""simple docstring"""







									lowercase__				= self.tokenizer_class(self.vocab_file				)

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


							def  lowerCamelCase_					(				self:      Optional[Any]				)     ->  Tuple:





									"""simple docstring"""







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

											lowercase__				= 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()


