


'''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


lowerCAmelCase				:Optional[Any]        =      '''▁'''

lowerCAmelCase				:Union[str, Any]        =      get_tests_dir('''fixtures/test_sentencepiece.model''')
@require_sentencepiece
@require_tokenizers
class _lowerCamelCase	(						lowercase__		,					unittest.TestCase							):



  '''simple docstring'''







  A_     :      Dict				   =    BigBirdTokenizer
  A_     :      str				   =    BigBirdTokenizerFast
  A_     :      Any				   =    True
  A_     :      int				   =    True







  def        __lowerCAmelCase		( self		:						Any      )  ->			Any:
   super().setUp()

   __magic_name__	:   List[Any]					     =					self.tokenizer_class(_A  ,					keep_accents=_A      )
   tokenizer.save_pretrained(self.tmpdirname      )







  def        __lowerCAmelCase		( self		:						List[Any]      )  ->			List[Any]:
   __magic_name__	:   int					     =					'<s>'
   __magic_name__	:   List[str]					     =					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		:						List[Any]      )  ->			Any:
   __magic_name__	:   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]  ,					'[MASK]'      )
   self.assertEqual(len(_A      )  ,					1004      )







  def        __lowerCAmelCase		( self		:						int      )  ->			Any:
   self.assertEqual(self.get_tokenizer().vocab_size  ,					1000      )







  def        __lowerCAmelCase		( self		:						Optional[Any]      )  ->			List[str]:
   if not self.test_rust_tokenizer:
    return

   __magic_name__	:   List[Any]					     =					self.get_tokenizer()
   __magic_name__	:   Any					     =					self.get_rust_tokenizer()

   __magic_name__	:   Union[str, Any]					     =					'I was born in 92000, and this is falsé.'

   __magic_name__	:   Any					     =					tokenizer.tokenize(_A      )
   __magic_name__	:   str					     =					rust_tokenizer.tokenize(_A      )
   self.assertListEqual(_A  ,					_A      )

   __magic_name__	:   Any					     =					tokenizer.encode(_A  ,					add_special_tokens=_A      )
   __magic_name__	:   Tuple					     =					rust_tokenizer.encode(_A  ,					add_special_tokens=_A      )
   self.assertListEqual(_A  ,					_A      )

   __magic_name__	:   str					     =					self.get_rust_tokenizer()
   __magic_name__	:   Optional[int]					     =					tokenizer.encode(_A      )
   __magic_name__	:   Any					     =					rust_tokenizer.encode(_A      )
   self.assertListEqual(_A  ,					_A      )







  def        __lowerCAmelCase		( self		:						List[Any]      )  ->			Union[str, Any]:
   __magic_name__	:   List[Any]					     =					BigBirdTokenizer(_A  ,					keep_accents=_A      )

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

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

   __magic_name__	:   Optional[int]					     =					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',
           '.',
       ]  ,					)
   __magic_name__	:   Any					     =					tokenizer.convert_tokens_to_ids(_A      )
   self.assertListEqual(
       _A  ,					[8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]  ,					)

   __magic_name__	:   Union[str, Any]					     =					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		:						List[Any]      )  ->			Union[str, Any]:
   return BigBirdTokenizer.from_pretrained('google/bigbird-roberta-base'      )







  @slow
  def        __lowerCAmelCase		( self		:						Union[str, Any]      )  ->			Tuple:
   __magic_name__	:   List[str]					     =					'Hello World!'
   __magic_name__	:   Dict					     =					[65, 18536, 2260, 101, 66]

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







  @slow
  def        __lowerCAmelCase		( self		:						Optional[Any]      )  ->			Any:
   __magic_name__	:   Optional[int]					     =					(
       '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
   __magic_name__	:   List[Any]					     =					[65, 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, 66]  # noqa: E231
   # fmt: on
   self.assertListEqual(_A  ,					self.big_tokenizer.encode(_A      )      )







  @require_torch
  @slow
  def        __lowerCAmelCase		( self		:						Optional[Any]      )  ->			Any:
   import torch

   from transformers import BigBirdConfig, BigBirdModel

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

   __magic_name__	:   int					     =					BigBirdConfig(attention_type='original_full'      )
   __magic_name__	:   Dict					     =					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		:						int      )  ->			Dict:
   __magic_name__	:   str					     =					BigBirdTokenizer.from_pretrained('google/bigbird-roberta-base'      )
   __magic_name__	:   Dict					     =					tokenizer.decode(tokenizer('Paris is the [MASK].'      ).input_ids      )

   self.assertTrue(decoded_text == '[CLS] Paris is the[MASK].[SEP]'      )







  @slow
  def        __lowerCAmelCase		( self		:						List[Any]      )  ->			Union[str, Any]:
   # fmt: off
   __magic_name__	:   Any					     =					{'input_ids': [[65, 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, 66], [65, 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, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [65, 484, 2169, 7687, 21932, 18146, 726, 363, 17032, 3391, 114, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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'''

lowerCAmelCase				:Union[str, Any]        =      '''
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

lowerCAmelCase				:Union[str, Any]        =      [{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
lowerCAmelCase				:Tuple        =      {
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}