'''simple docstring'''

import unittest

from transformers import BertGenerationTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


UpperCamelCase__     :	Dict				=			'▁'

UpperCamelCase__     :	List[str]				=			get_tests_dir('fixtures/test_sentencepiece.model')


@require_sentencepiece
class 				_lowercase	(      lowerCAmelCase		,unittest.TestCase   ):
      '''simple docstring'''


      UpperCAmelCase_      							=   BertGenerationTokenizer
      UpperCAmelCase_      							=   False
      UpperCAmelCase_      							=   True




      def 		lowerCAmelCase__					(				self							)			->			Optional[int]:



         '''simple docstring'''



         super().setUp()

         UpperCAmelCase__							:				Optional[int]   				=  BertGenerationTokenizer(lowerCamelCase_					,keep_accents=lowerCamelCase_							)
         tokenizer.save_pretrained(self.tmpdirname							)




      def 		lowerCAmelCase__					(				self							)			->			Optional[int]:



         '''simple docstring'''



         UpperCAmelCase__							:				Tuple   				=  '''<s>'''
         UpperCAmelCase__							:				Dict   				=  1

         self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowerCamelCase_							)					,lowerCamelCase_							)
         self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowerCamelCase_							)					,lowerCamelCase_							)




      def 		lowerCAmelCase__					(				self							)			->			Tuple:



         '''simple docstring'''



         UpperCAmelCase__							:				Any   				=  list(self.get_tokenizer().get_vocab().keys()							)

         self.assertEqual(vocab_keys[0]					,'''<unk>'''							)
         self.assertEqual(vocab_keys[1]					,'''<s>'''							)
         self.assertEqual(vocab_keys[-1]					,'''<pad>'''							)
         self.assertEqual(len(lowerCamelCase_							)					,1002							)




      def 		lowerCAmelCase__					(				self							)			->			Any:



         '''simple docstring'''



         self.assertEqual(self.get_tokenizer().vocab_size					,1000							)




      def 		lowerCAmelCase__					(				self							)			->			Any:



         '''simple docstring'''



         UpperCAmelCase__							:				Union[str, Any]   				=  BertGenerationTokenizer(lowerCamelCase_					,keep_accents=lowerCamelCase_							)

         UpperCAmelCase__							:				str   				=  tokenizer.tokenize('''This is a test'''							)
         self.assertListEqual(lowerCamelCase_					,['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']							)

         self.assertListEqual(
             tokenizer.convert_tokens_to_ids(lowerCamelCase_							)					,[285, 46, 10, 170, 382]					,)

         UpperCAmelCase__							:				List[Any]   				=  tokenizer.tokenize('''I was born in 92000, and this is falsé.'''							)
         self.assertListEqual(
             lowerCamelCase_					,[
                 SPIECE_UNDERLINE + '''I''',
                 SPIECE_UNDERLINE + '''was''',
                 SPIECE_UNDERLINE + '''b''',
                 '''or''',
                 '''n''',
                 SPIECE_UNDERLINE + '''in''',
                 SPIECE_UNDERLINE + '''''',
                 '''9''',
                 '''2''',
                 '''0''',
                 '''0''',
                 '''0''',
                 ''',''',
                 SPIECE_UNDERLINE + '''and''',
                 SPIECE_UNDERLINE + '''this''',
                 SPIECE_UNDERLINE + '''is''',
                 SPIECE_UNDERLINE + '''f''',
                 '''al''',
                 '''s''',
                 '''é''',
                 '''.''',
             ]					,)
         UpperCAmelCase__							:				Any   				=  tokenizer.convert_tokens_to_ids(lowerCamelCase_							)
         self.assertListEqual(
             lowerCamelCase_					,[8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]					,)

         UpperCAmelCase__							:				List[Any]   				=  tokenizer.convert_ids_to_tokens(lowerCamelCase_							)
         self.assertListEqual(
             lowerCamelCase_					,[
                 SPIECE_UNDERLINE + '''I''',
                 SPIECE_UNDERLINE + '''was''',
                 SPIECE_UNDERLINE + '''b''',
                 '''or''',
                 '''n''',
                 SPIECE_UNDERLINE + '''in''',
                 SPIECE_UNDERLINE + '''''',
                 '''<unk>''',
                 '''2''',
                 '''0''',
                 '''0''',
                 '''0''',
                 ''',''',
                 SPIECE_UNDERLINE + '''and''',
                 SPIECE_UNDERLINE + '''this''',
                 SPIECE_UNDERLINE + '''is''',
                 SPIECE_UNDERLINE + '''f''',
                 '''al''',
                 '''s''',
                 '''<unk>''',
                 '''.''',
             ]					,)




      @cached_property
      def 		lowerCAmelCase__					(				self							)			->			List[Any]:



         '''simple docstring'''



         return BertGenerationTokenizer.from_pretrained('''google/bert_for_seq_generation_L-24_bbc_encoder'''							)




      @slow
      def 		lowerCAmelCase__					(				self							)			->			List[str]:



         '''simple docstring'''



         UpperCAmelCase__							:				List[str]   				=  '''Hello World!'''
         UpperCAmelCase__							:				Optional[int]   				=  [18536, 2260, 101]

         self.assertListEqual(lowerCamelCase_					,self.big_tokenizer.encode(lowerCamelCase_							)							)




      @slow
      def 		lowerCAmelCase__					(				self							)			->			Optional[int]:



         '''simple docstring'''



         UpperCAmelCase__							:				Optional[Any]   				=  (
             '''This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'''
             ''' add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth'''
         )
         UpperCAmelCase__							:				List[Any]   				=  [
             871,
             419,
             358,
             946,
             991,
             2521,
             452,
             358,
             1357,
             387,
             7751,
             3536,
             112,
             985,
             456,
             126,
             865,
             938,
             5400,
             5734,
             458,
             1368,
             467,
             786,
             2462,
             5246,
             1159,
             633,
             865,
             4519,
             457,
             582,
             852,
             2557,
             427,
             916,
             508,
             405,
             34324,
             497,
             391,
             408,
             11342,
             1244,
             385,
             100,
             938,
             985,
             456,
             574,
             362,
             12597,
             3200,
             3129,
             1172,
         ]

         self.assertListEqual(lowerCamelCase_					,self.big_tokenizer.encode(lowerCamelCase_							)							)




      @require_torch
      @slow
      def 		lowerCAmelCase__					(				self							)			->			str:



         '''simple docstring'''



         import torch

         from transformers import BertGenerationConfig, BertGenerationEncoder

         # Build sequence
         UpperCAmelCase__							:				List[str]   				=  list(self.big_tokenizer.get_vocab().keys()							)[:10]
         UpperCAmelCase__							:				List[str]   				=  ''' '''.join(lowerCamelCase_							)
         UpperCAmelCase__							:				Union[str, Any]   				=  self.big_tokenizer.encode_plus(lowerCamelCase_					,return_tensors='''pt'''					,return_token_type_ids=lowerCamelCase_							)
         UpperCAmelCase__							:				Dict   				=  self.big_tokenizer.batch_encode_plus(
             [sequence + ''' ''' + sequence]					,return_tensors='''pt'''					,return_token_type_ids=lowerCamelCase_							)

         UpperCAmelCase__							:				Dict   				=  BertGenerationConfig()
         UpperCAmelCase__							:				List[str]   				=  BertGenerationEncoder(lowerCamelCase_							)

         assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

         with torch.no_grad():
            model(**lowerCamelCase_							)
            model(**lowerCamelCase_							)




      @slow
      def 		lowerCAmelCase__					(				self							)			->			Any:



         '''simple docstring'''



         UpperCAmelCase__							:				Tuple   				=  {'''input_ids''': [[39286, 458, 36335, 2001, 456, 13073, 13266, 455, 113, 7746, 1741, 11157, 391, 13073, 13266, 455, 113, 3967, 35412, 113, 4936, 109, 3870, 2377, 113, 30084, 45720, 458, 134, 17496, 112, 503, 11672, 113, 118, 112, 5665, 13347, 38687, 112, 1496, 31389, 112, 3268, 47264, 134, 962, 112, 16377, 8035, 23130, 430, 12169, 15518, 28592, 458, 146, 41697, 109, 391, 12169, 15518, 16689, 458, 146, 41358, 109, 452, 726, 4034, 111, 763, 35412, 5082, 388, 1903, 111, 9051, 391, 2870, 48918, 1900, 1123, 550, 998, 112, 9586, 15985, 455, 391, 410, 22955, 37636, 114], [448, 17496, 419, 3663, 385, 763, 113, 27533, 2870, 3283, 13043, 1639, 24713, 523, 656, 24013, 18550, 2521, 517, 27014, 21244, 420, 1212, 1465, 391, 927, 4833, 388, 578, 11786, 114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [484, 2169, 7687, 21932, 18146, 726, 363, 17032, 3391, 114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], '''attention_mask''': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
         # fmt: on

         self.tokenizer_integration_test_util(
             expected_encoding=lowerCamelCase_					,model_name='''google/bert_for_seq_generation_L-24_bbc_encoder'''					,revision='''c817d1fd1be2ffa69431227a1fe320544943d4db'''					,)





'''simple docstring'''

def __UpperCamelCase(   _A					:				str  ,			_A					:				str    ):
   '''simple docstring'''
   UpperCAmelCase__							:				int   				=  len(_A    )
   UpperCAmelCase__							:				int   				=  len(_A    )
   UpperCAmelCase__							:				int   				=  (
       first_str_length if first_str_length > second_str_length else second_str_length
   )
   UpperCAmelCase__							:				list   				=  []
   for char_count in range(_A    ):
      if char_count < first_str_length:
         output_list.append(first_str[char_count]    )
      if char_count < second_str_length:
         output_list.append(second_str[char_count]    )
   return "".join(_A    )


if __name__ == "__main__":
  print(alternative_string_arrange('AB', 'XYZ'), end=' ')




