





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_     							= '▁'

UpperCAmelCase_     							= get_tests_dir('fixtures/test_sentencepiece.model')






@require_sentencepiece
class     lowercase__       (	__lowerCamelCase			,				unittest.TestCase				):

   '''simple docstring'''


   a						:							Union[str, Any]   		=		BertGenerationTokenizer
   a						:							List[str]   		=		False
   a						:							Optional[Any]   		=		True




   def       UpperCamelCase__  (    self							) ->      Tuple:






       """simple docstring"""
       super().setUp()

       UpperCamelCase__							:				Union[str, Any]          =      BertGenerationTokenizer(__magic_name__,		keep_accents=__magic_name__							)
       tokenizer.save_pretrained(self.tmpdirname							)




   def       UpperCamelCase__  (    self							) ->      Any:






       """simple docstring"""
       UpperCamelCase__							:				Tuple          =      '''<s>'''
       UpperCamelCase__							:				Optional[Any]          =      1

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




   def       UpperCamelCase__  (    self							) ->      Dict:






       """simple docstring"""
       UpperCamelCase__							:				str          =      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(__magic_name__							),		1002							)




   def       UpperCamelCase__  (    self							) ->      List[Any]:






       """simple docstring"""
       self.assertEqual(self.get_tokenizer().vocab_size,		1000							)




   def       UpperCamelCase__  (    self							) ->      int:






       """simple docstring"""
       UpperCamelCase__							:				Any          =      BertGenerationTokenizer(__magic_name__,		keep_accents=__magic_name__							)

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

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

       UpperCamelCase__							:				List[str]          =      tokenizer.tokenize('''I was born in 92000, and this is falsé.'''							)
       self.assertListEqual(
           __magic_name__,		[
               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(__magic_name__							)
       self.assertListEqual(
           __magic_name__,		[8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4],		)

       UpperCamelCase__							:				str          =      tokenizer.convert_ids_to_tokens(__magic_name__							)
       self.assertListEqual(
           __magic_name__,		[
               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							) ->      Dict:






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




   @slow
   def       UpperCamelCase__  (    self							) ->      int:






       """simple docstring"""
       UpperCamelCase__							:				Tuple          =      '''Hello World!'''
       UpperCamelCase__							:				Dict          =      [18536, 2260, 101]

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




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






       """simple docstring"""
       UpperCamelCase__							:				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__							:				Dict          =      [
           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(__magic_name__,		self.big_tokenizer.encode(__magic_name__							)							)




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






       """simple docstring"""
       import torch

       from transformers import BertGenerationConfig, BertGenerationEncoder

       # Build sequence
       UpperCamelCase__							:				Optional[Any]          =      list(self.big_tokenizer.get_vocab().keys()							)[:10]
       UpperCamelCase__							:				Tuple          =      ''' '''.join(__magic_name__							)
       UpperCamelCase__							:				int          =      self.big_tokenizer.encode_plus(__magic_name__,		return_tensors='''pt''',		return_token_type_ids=__magic_name__							)
       UpperCamelCase__							:				str          =      self.big_tokenizer.batch_encode_plus(
           [sequence + ''' ''' + sequence],		return_tensors='''pt''',		return_token_type_ids=__magic_name__							)

       UpperCamelCase__							:				List[Any]          =      BertGenerationConfig()
       UpperCamelCase__							:				str          =      BertGenerationEncoder(__magic_name__							)

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

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




   @slow
   def       UpperCamelCase__  (    self							) ->      Optional[Any]:






       """simple docstring"""
       # fmt: off
       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=__magic_name__,		model_name='''google/bert_for_seq_generation_L-24_bbc_encoder''',		revision='''c817d1fd1be2ffa69431227a1fe320544943d4db''',		)








UpperCAmelCase_     							= 'Input must be a string of 8 numbers plus letter'
UpperCAmelCase_     							= 'TRWAGMYFPDXBNJZSQVHLCKE'




def 		lowerCAmelCase_    (  __UpperCAmelCase:			str      )      ->	bool:

    if not isinstance(__UpperCAmelCase		,   __UpperCAmelCase      ):
        UpperCamelCase__							:				Any          =      f"Expected string as input, found {type(__UpperCAmelCase      ).__name__}"
        raise TypeError(__UpperCAmelCase      )

    UpperCamelCase__							:				int          =      spanish_id.replace('''-'''		,   ''''''      ).upper()
    if len(__UpperCAmelCase      ) != 9:
        raise ValueError(__UpperCAmelCase      )

    try:
        UpperCamelCase__							:				List[str]          =      int(spanish_id_clean[0:8]      )
        UpperCamelCase__							:				Optional[int]          =      spanish_id_clean[8]
    except ValueError as ex:
        raise ValueError(__UpperCAmelCase      ) from ex

    if letter.isdigit():
        raise ValueError(__UpperCAmelCase      )

    return letter == LOOKUP_LETTERS[number % 23]


if __name__ == "__main__":
  import doctest

  doctest.testmod()

