

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


__lowercase				      =						"""▁"""

__lowercase				      =						get_tests_dir("""fixtures/test_sentencepiece.model""")

@require_sentencepiece
class    _lowercase				(					__lowerCamelCase,unittest.TestCase			):
   _lowercase     :       Optional[Any]  					=    BertGenerationTokenizer
   _lowercase     :       str  					=    False
   _lowercase     :       Optional[Any]  					=    True

   def     UpperCamelCase					(				self	:    Optional[Any]       ) ->			int:
         """simple docstring"""





         super().setUp()

         A_							       =		BertGenerationTokenizer(lowerCamelCase__			,						keep_accents=lowerCamelCase__       )
         tokenizer.save_pretrained(self.tmpdirname       )

   def     UpperCamelCase					(				self	:    Optional[int]       ) ->			Union[str, Any]:
         """simple docstring"""





         A_							       =		'''<s>'''
         A_							       =		1

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

   def     UpperCamelCase					(				self	:    Union[str, Any]       ) ->			Tuple:
         """simple docstring"""





         A_							       =		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__       )			,						1_0_0_2       )

   def     UpperCamelCase					(				self	:    Optional[int]       ) ->			Union[str, Any]:
         """simple docstring"""





         self.assertEqual(self.get_tokenizer().vocab_size			,						1_0_0_0       )

   def     UpperCamelCase					(				self	:    Optional[int]       ) ->			int:
         """simple docstring"""





         A_							       =		BertGenerationTokenizer(lowerCamelCase__			,						keep_accents=lowerCamelCase__       )

         A_							       =		tokenizer.tokenize('''This is a test'''       )
         self.assertListEqual(lowerCamelCase__			,						['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']       )

         self.assertListEqual(
             tokenizer.convert_tokens_to_ids(lowerCamelCase__       )			,						[2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]			,						)

         A_							       =		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''',
                 '''.''',
             ]			,						)
         A_							       =		tokenizer.convert_tokens_to_ids(lowerCamelCase__       )
         self.assertListEqual(
             lowerCamelCase__			,						[8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 0, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 0, 4]			,						)

         A_							       =		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     UpperCamelCase					(				self	:    Optional[int]       ) ->			Optional[int]:
         """simple docstring"""





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

   @slow
   def     UpperCamelCase					(				self	:    Dict       ) ->			Union[str, Any]:
         """simple docstring"""





         A_							       =		'''Hello World!'''
         A_							       =		[1_8_5_3_6, 2_2_6_0, 1_0_1]

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

   @slow
   def     UpperCamelCase					(				self	:    Tuple       ) ->			Any:
         """simple docstring"""





         A_							       =		(
             '''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'''
         )
         A_							       =		[
             8_7_1,
             4_1_9,
             3_5_8,
             9_4_6,
             9_9_1,
             2_5_2_1,
             4_5_2,
             3_5_8,
             1_3_5_7,
             3_8_7,
             7_7_5_1,
             3_5_3_6,
             1_1_2,
             9_8_5,
             4_5_6,
             1_2_6,
             8_6_5,
             9_3_8,
             5_4_0_0,
             5_7_3_4,
             4_5_8,
             1_3_6_8,
             4_6_7,
             7_8_6,
             2_4_6_2,
             5_2_4_6,
             1_1_5_9,
             6_3_3,
             8_6_5,
             4_5_1_9,
             4_5_7,
             5_8_2,
             8_5_2,
             2_5_5_7,
             4_2_7,
             9_1_6,
             5_0_8,
             4_0_5,
             3_4_3_2_4,
             4_9_7,
             3_9_1,
             4_0_8,
             1_1_3_4_2,
             1_2_4_4,
             3_8_5,
             1_0_0,
             9_3_8,
             9_8_5,
             4_5_6,
             5_7_4,
             3_6_2,
             1_2_5_9_7,
             3_2_0_0,
             3_1_2_9,
             1_1_7_2,
         ]

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

   @require_torch
   @slow
   def     UpperCamelCase					(				self	:    int       ) ->			List[str]:
         """simple docstring"""





         import torch

         from transformers import BertGenerationConfig, BertGenerationEncoder

         # Build sequence
         A_							       =		list(self.big_tokenizer.get_vocab().keys()       )[:1_0]
         A_							       =		''' '''.join(lowerCamelCase__       )
         A_							       =		self.big_tokenizer.encode_plus(lowerCamelCase__			,						return_tensors='''pt'''			,						return_token_type_ids=lowerCamelCase__       )
         A_							       =		self.big_tokenizer.batch_encode_plus(
             [sequence + ''' ''' + sequence]			,						return_tensors='''pt'''			,						return_token_type_ids=lowerCamelCase__       )

         A_							       =		BertGenerationConfig()
         A_							       =		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     UpperCamelCase					(				self	:    Union[str, Any]       ) ->			Union[str, Any]:
         """simple docstring"""





         A_							       =		{'''input_ids''': [[3_9_2_8_6, 4_5_8, 3_6_3_3_5, 2_0_0_1, 4_5_6, 1_3_0_7_3, 1_3_2_6_6, 4_5_5, 1_1_3, 7_7_4_6, 1_7_4_1, 1_1_1_5_7, 3_9_1, 1_3_0_7_3, 1_3_2_6_6, 4_5_5, 1_1_3, 3_9_6_7, 3_5_4_1_2, 1_1_3, 4_9_3_6, 1_0_9, 3_8_7_0, 2_3_7_7, 1_1_3, 3_0_0_8_4, 4_5_7_2_0, 4_5_8, 1_3_4, 1_7_4_9_6, 1_1_2, 5_0_3, 1_1_6_7_2, 1_1_3, 1_1_8, 1_1_2, 5_6_6_5, 1_3_3_4_7, 3_8_6_8_7, 1_1_2, 1_4_9_6, 3_1_3_8_9, 1_1_2, 3_2_6_8, 4_7_2_6_4, 1_3_4, 9_6_2, 1_1_2, 1_6_3_7_7, 8_0_3_5, 2_3_1_3_0, 4_3_0, 1_2_1_6_9, 1_5_5_1_8, 2_8_5_9_2, 4_5_8, 1_4_6, 4_1_6_9_7, 1_0_9, 3_9_1, 1_2_1_6_9, 1_5_5_1_8, 1_6_6_8_9, 4_5_8, 1_4_6, 4_1_3_5_8, 1_0_9, 4_5_2, 7_2_6, 4_0_3_4, 1_1_1, 7_6_3, 3_5_4_1_2, 5_0_8_2, 3_8_8, 1_9_0_3, 1_1_1, 9_0_5_1, 3_9_1, 2_8_7_0, 4_8_9_1_8, 1_9_0_0, 1_1_2_3, 5_5_0, 9_9_8, 1_1_2, 9_5_8_6, 1_5_9_8_5, 4_5_5, 3_9_1, 4_1_0, 2_2_9_5_5, 3_7_6_3_6, 1_1_4], [4_4_8, 1_7_4_9_6, 4_1_9, 3_6_6_3, 3_8_5, 7_6_3, 1_1_3, 2_7_5_3_3, 2_8_7_0, 3_2_8_3, 1_3_0_4_3, 1_6_3_9, 2_4_7_1_3, 5_2_3, 6_5_6, 2_4_0_1_3, 1_8_5_5_0, 2_5_2_1, 5_1_7, 2_7_0_1_4, 2_1_2_4_4, 4_2_0, 1_2_1_2, 1_4_6_5, 3_9_1, 9_2_7, 4_8_3_3, 3_8_8, 5_7_8, 1_1_7_8_6, 1_1_4, 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], [4_8_4, 2_1_6_9, 7_6_8_7, 2_1_9_3_2, 1_8_1_4_6, 7_2_6, 3_6_3, 1_7_0_3_2, 3_3_9_1, 1_1_4, 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'''			,						)








def 							_lowerCamelCase   (			SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE   ):
      '''simple docstring'''







      A_							       =		len(SCREAMING_SNAKE_CASE   )
      A_							       =		len(SCREAMING_SNAKE_CASE   )
      A_							       =		(
          first_str_length if first_str_length > second_str_length else second_str_length
      )
      A_							       =		[]
      for char_count in range(SCREAMING_SNAKE_CASE   ):
            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(SCREAMING_SNAKE_CASE   )


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





