





"""simple docstring"""







import unittest

from transformers import BigBirdTokenizer, BigBirdTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


a__      :	int       				=      '▁'

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




@require_sentencepiece
@require_tokenizers
class __magic_name__   (       _UpperCamelCase    ,unittest.TestCase		):
       UpperCamelCase    :						Optional[Any]      =	BigBirdTokenizer
       UpperCamelCase    :						str      =	BigBirdTokenizerFast
       UpperCamelCase    :						Optional[int]      =	True
       UpperCamelCase    :						List[str]      =	True
       def 		_lowerCamelCase   (     self	):





         """simple docstring"""


         super().setUp()

         _lowerCAmelCase	      =					self.tokenizer_class(a_   ,  keep_accents=a_	)
         tokenizer.save_pretrained(self.tmpdirname	)
       def 		_lowerCamelCase   (     self	):





         """simple docstring"""


         _lowerCAmelCase	      =					'<s>'
         _lowerCAmelCase	      =					1

         self.assertEqual(self.get_tokenizer()._convert_token_to_id(a_	)   ,  a_	)
         self.assertEqual(self.get_tokenizer()._convert_id_to_token(a_	)   ,  a_	)
       def 		_lowerCamelCase   (     self	):





         """simple docstring"""


         _lowerCAmelCase	      =					list(self.get_tokenizer().get_vocab().keys()	)

         self.assertEqual(vocab_keys[0]   ,  '<unk>'	)
         self.assertEqual(vocab_keys[1]   ,  '<s>'	)
         self.assertEqual(vocab_keys[-1]   ,  '[MASK]'	)
         self.assertEqual(len(a_	)   ,  1_0_0_4	)
       def 		_lowerCamelCase   (     self	):





         """simple docstring"""


         self.assertEqual(self.get_tokenizer().vocab_size   ,  1_0_0_0	)
       def 		_lowerCamelCase   (     self	):





         """simple docstring"""


         if not self.test_rust_tokenizer:
           return

         _lowerCAmelCase	      =					self.get_tokenizer()
         _lowerCAmelCase	      =					self.get_rust_tokenizer()

         _lowerCAmelCase	      =					'I was born in 92000, and this is falsé.'

         _lowerCAmelCase	      =					tokenizer.tokenize(a_	)
         _lowerCAmelCase	      =					rust_tokenizer.tokenize(a_	)
         self.assertListEqual(a_   ,  a_	)

         _lowerCAmelCase	      =					tokenizer.encode(a_   ,  add_special_tokens=a_	)
         _lowerCAmelCase	      =					rust_tokenizer.encode(a_   ,  add_special_tokens=a_	)
         self.assertListEqual(a_   ,  a_	)

         _lowerCAmelCase	      =					self.get_rust_tokenizer()
         _lowerCAmelCase	      =					tokenizer.encode(a_	)
         _lowerCAmelCase	      =					rust_tokenizer.encode(a_	)
         self.assertListEqual(a_   ,  a_	)
       def 		_lowerCamelCase   (     self	):





         """simple docstring"""


         _lowerCAmelCase	      =					BigBirdTokenizer(a_   ,  keep_accents=a_	)

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

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

         _lowerCAmelCase	      =					tokenizer.tokenize('I was born in 92000, and this is falsé.'	)
         self.assertListEqual(
             a_   ,  [
                 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',
                 '.',
             ]   ,  )
         _lowerCAmelCase	      =					tokenizer.convert_tokens_to_ids(a_	)
         self.assertListEqual(
             a_   ,  [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]   ,  )

         _lowerCAmelCase	      =					tokenizer.convert_ids_to_tokens(a_	)
         self.assertListEqual(
             a_   ,  [
                 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	):





         """simple docstring"""


         return BigBirdTokenizer.from_pretrained('google/bigbird-roberta-base'	)
       @slow
       def 		_lowerCamelCase   (     self	):





         """simple docstring"""


         _lowerCAmelCase	      =					'Hello World!'
         _lowerCAmelCase	      =					[6_5, 1_8_5_3_6, 2_2_6_0, 1_0_1, 6_6]

         self.assertListEqual(a_   ,  self.big_tokenizer.encode(a_	)	)
       @slow
       def 		_lowerCamelCase   (     self	):





         """simple docstring"""


         _lowerCAmelCase	      =					(
             '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'
         )
         # fmt: off
         _lowerCAmelCase	      =					[6_5, 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, 6_6]  # noqa: E231
         # fmt: on
         self.assertListEqual(a_   ,  self.big_tokenizer.encode(a_	)	)
       @require_torch
       @slow
       def 		_lowerCamelCase   (     self	):





         """simple docstring"""


         import torch

         from transformers import BigBirdConfig, BigBirdModel

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

         _lowerCAmelCase	      =					BigBirdConfig(attention_type='original_full'	)
         _lowerCAmelCase	      =					BigBirdModel(a_	)

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

         with torch.no_grad():
           model(**a_	)
           model(**a_	)
       @slow
       def 		_lowerCamelCase   (     self	):





         """simple docstring"""


         _lowerCAmelCase	      =					BigBirdTokenizer.from_pretrained('google/bigbird-roberta-base'	)
         _lowerCAmelCase	      =					tokenizer.decode(tokenizer('Paris is the [MASK].'	).input_ids	)

         self.assertTrue(decoded_text == '[CLS] Paris is the[MASK].[SEP]'	)
       @slow
       def 		_lowerCamelCase   (     self	):





         """simple docstring"""


         _lowerCAmelCase	      =					{'input_ids': [[6_5, 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, 6_6], [6_5, 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, 6_6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [6_5, 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, 6_6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 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, 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=a_   ,  model_name='google/bigbird-roberta-base'   ,  revision='215c99f1600e06f83acce68422f2035b2b5c3510'   ,  )






'''simple docstring'''




from ..utils import DummyObject, requires_backends



class 							lowercase_						(		metaclass=a			):

  '''simple docstring'''





  __lowerCAmelCase       :			str     	= ["keras_nlp"]
  def __init__(  self ,			*a_ ,			**a_  )				->					Union[str, Any]:


    """simple docstring"""
    requires_backends(self ,			['keras_nlp']  )


