



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


a__   :					Dict 						=      "▁"

a__   :					Optional[Any] 						=      get_tests_dir("fixtures/test_sentencepiece.model")



@require_sentencepiece
class    UpperCAmelCase__(				lowerCamelCase  ,				unittest.TestCase						):

   '''simple docstring'''




   A     :	List[Any]												=     BertGenerationTokenizer
   A     :	List[str]												=     False
   A     :	str												=     True


   def       UpperCAmelCase		(    self	:      List[Any])						->					int:




         """simple docstring"""

         super().setUp()

         lowercase__  =	BertGenerationTokenizer(lowerCAmelCase      ,					keep_accents=lowerCAmelCase)
         tokenizer.save_pretrained(self.tmpdirname)


   def       UpperCAmelCase		(    self	:      int)						->					List[Any]:




         """simple docstring"""

         lowercase__  =	'<s>'
         lowercase__  =	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	:      Dict)						->					List[str]:




         """simple docstring"""

         lowercase__  =	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)      ,					10_02)


   def       UpperCAmelCase		(    self	:      int)						->					Tuple:




         """simple docstring"""

         self.assertEqual(self.get_tokenizer().vocab_size      ,					10_00)


   def       UpperCAmelCase		(    self	:      Any)						->					Union[str, Any]:




         """simple docstring"""

         lowercase__  =	BertGenerationTokenizer(lowerCAmelCase      ,					keep_accents=lowerCAmelCase)

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

         self.assertListEqual(
             tokenizer.convert_tokens_to_ids(lowerCAmelCase)      ,					[2_85, 46, 10, 1_70, 3_82]      ,					)

         lowercase__  =	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',
                 '.',
             ]      ,					)
         lowercase__  =	tokenizer.convert_tokens_to_ids(lowerCAmelCase)
         self.assertListEqual(
             lowerCAmelCase      ,					[8, 21, 84, 55, 24, 19, 7, 0, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 0, 4]      ,					)

         lowercase__  =	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	:      Any)						->					List[Any]:




         """simple docstring"""

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


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




         """simple docstring"""

         lowercase__  =	'Hello World!'
         lowercase__  =	[1_85_36, 22_60, 1_01]

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


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




         """simple docstring"""

         lowercase__  =	(
             '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'
         )
         lowercase__  =	[
             8_71,
             4_19,
             3_58,
             9_46,
             9_91,
             25_21,
             4_52,
             3_58,
             13_57,
             3_87,
             77_51,
             35_36,
             1_12,
             9_85,
             4_56,
             1_26,
             8_65,
             9_38,
             54_00,
             57_34,
             4_58,
             13_68,
             4_67,
             7_86,
             24_62,
             52_46,
             11_59,
             6_33,
             8_65,
             45_19,
             4_57,
             5_82,
             8_52,
             25_57,
             4_27,
             9_16,
             5_08,
             4_05,
             3_43_24,
             4_97,
             3_91,
             4_08,
             1_13_42,
             12_44,
             3_85,
             1_00,
             9_38,
             9_85,
             4_56,
             5_74,
             3_62,
             1_25_97,
             32_00,
             31_29,
             11_72,
         ]

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


   @require_torch
   @slow
   def       UpperCAmelCase		(    self	:      List[str])						->					Tuple:




         """simple docstring"""

         import torch

         from transformers import BertGenerationConfig, BertGenerationEncoder

         # Build sequence
         lowercase__  =	list(self.big_tokenizer.get_vocab().keys())[:10]
         lowercase__  =	' '.join(lowerCAmelCase)
         lowercase__  =	self.big_tokenizer.encode_plus(lowerCAmelCase      ,					return_tensors='pt'      ,					return_token_type_ids=lowerCAmelCase)
         lowercase__  =	self.big_tokenizer.batch_encode_plus(
             [sequence + ' ' + sequence]      ,					return_tensors='pt'      ,					return_token_type_ids=lowerCAmelCase)

         lowercase__  =	BertGenerationConfig()
         lowercase__  =	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	:      List[str])						->					List[Any]:




         """simple docstring"""

         lowercase__  =	{'input_ids': [[3_92_86, 4_58, 3_63_35, 20_01, 4_56, 1_30_73, 1_32_66, 4_55, 1_13, 77_46, 17_41, 1_11_57, 3_91, 1_30_73, 1_32_66, 4_55, 1_13, 39_67, 3_54_12, 1_13, 49_36, 1_09, 38_70, 23_77, 1_13, 3_00_84, 4_57_20, 4_58, 1_34, 1_74_96, 1_12, 5_03, 1_16_72, 1_13, 1_18, 1_12, 56_65, 1_33_47, 3_86_87, 1_12, 14_96, 3_13_89, 1_12, 32_68, 4_72_64, 1_34, 9_62, 1_12, 1_63_77, 80_35, 2_31_30, 4_30, 1_21_69, 1_55_18, 2_85_92, 4_58, 1_46, 4_16_97, 1_09, 3_91, 1_21_69, 1_55_18, 1_66_89, 4_58, 1_46, 4_13_58, 1_09, 4_52, 7_26, 40_34, 1_11, 7_63, 3_54_12, 50_82, 3_88, 19_03, 1_11, 90_51, 3_91, 28_70, 4_89_18, 19_00, 11_23, 5_50, 9_98, 1_12, 95_86, 1_59_85, 4_55, 3_91, 4_10, 2_29_55, 3_76_36, 1_14], [4_48, 1_74_96, 4_19, 36_63, 3_85, 7_63, 1_13, 2_75_33, 28_70, 32_83, 1_30_43, 16_39, 2_47_13, 5_23, 6_56, 2_40_13, 1_85_50, 25_21, 5_17, 2_70_14, 2_12_44, 4_20, 12_12, 14_65, 3_91, 9_27, 48_33, 3_88, 5_78, 1_17_86, 1_14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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_84, 21_69, 76_87, 2_19_32, 1_81_46, 7_26, 3_63, 1_70_32, 33_91, 1_14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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 (    A__ = 600_851_475_143						):

      try:
            lowercase__  =	int(A__						)
      except (TypeError, ValueError):
            raise TypeError('Parameter n must be int or castable to int.'						)
      if n <= 0:
            raise ValueError('Parameter n must be greater than or equal to one.'						)
      lowercase__  =	2
      lowercase__  =	0
      if n == 2:
            return 2
      while n > 2:
            while n % i != 0:
                  i += 1
            lowercase__  =	i
            while n % i == 0:
                  lowercase__  =	n // i
            i += 1
      return int(A__						)


if __name__ == "__main__":
       print(F'''{solution() = }''')
