






"""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		:       str  				=		'''▁'''

__A		:       str  				=		get_tests_dir('''fixtures/test_sentencepiece.model''')





@require_sentencepiece
@require_tokenizers
class 					_UpperCAmelCase       ( __A   ,						unittest.TestCase							):
					SCREAMING_SNAKE_CASE_		:				Optional[int]							    =   BigBirdTokenizer
					SCREAMING_SNAKE_CASE_		:				Any							    =   BigBirdTokenizerFast
					SCREAMING_SNAKE_CASE_		:				Dict							    =   True
					SCREAMING_SNAKE_CASE_		:				Optional[Any]							    =   True




					def   A  (				self     :						Union[str, Any]   )  ->  Optional[Any]:
							super().setUp()

							lowercase_ : Union[str, Any]							       =   self.tokenizer_class(lowercase_    ,						keep_accents=lowercase_   )
							tokenizer.save_pretrained(self.tmpdirname   )




					def   A  (				self     :						Tuple   )  ->  List[Any]:
							lowercase_ : List[Any]							       =   "<s>"
							lowercase_ : Optional[Any]							       =   1

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




					def   A  (				self     :						Optional[Any]   )  ->  int:
							lowercase_ : Union[str, Any]							       =   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(lowercase_   )    ,						10_04   )




					def   A  (				self     :						List[Any]   )  ->  str:
							self.assertEqual(self.get_tokenizer().vocab_size    ,						10_00   )




					def   A  (				self     :						Optional[int]   )  ->  Tuple:
							if not self.test_rust_tokenizer:
									return

							lowercase_ : Dict							       =   self.get_tokenizer()
							lowercase_ : Any							       =   self.get_rust_tokenizer()

							lowercase_ : str							       =   "I was born in 92000, and this is falsé."

							lowercase_ : Optional[int]							       =   tokenizer.tokenize(lowercase_   )
							lowercase_ : Any							       =   rust_tokenizer.tokenize(lowercase_   )
							self.assertListEqual(lowercase_    ,						lowercase_   )

							lowercase_ : List[str]							       =   tokenizer.encode(lowercase_    ,						add_special_tokens=lowercase_   )
							lowercase_ : List[str]							       =   rust_tokenizer.encode(lowercase_    ,						add_special_tokens=lowercase_   )
							self.assertListEqual(lowercase_    ,						lowercase_   )

							lowercase_ : str							       =   self.get_rust_tokenizer()
							lowercase_ : Union[str, Any]							       =   tokenizer.encode(lowercase_   )
							lowercase_ : Optional[Any]							       =   rust_tokenizer.encode(lowercase_   )
							self.assertListEqual(lowercase_    ,						lowercase_   )




					def   A  (				self     :						Dict   )  ->  str:
							lowercase_ : Optional[Any]							       =   BigBirdTokenizer(lowercase_    ,						keep_accents=lowercase_   )

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

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

							lowercase_ : Dict							       =   tokenizer.tokenize('''I was born in 92000, and this is falsé.'''   )
							self.assertListEqual(
							    lowercase_    ,						[
							        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_ : Tuple							       =   tokenizer.convert_tokens_to_ids(lowercase_   )
							self.assertListEqual(
							    lowercase_    ,						[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_ : Tuple							       =   tokenizer.convert_ids_to_tokens(lowercase_   )
							self.assertListEqual(
							    lowercase_    ,						[
							        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   A  (				self     :						List[Any]   )  ->  Optional[int]:
							return BigBirdTokenizer.from_pretrained('''google/bigbird-roberta-base'''   )




					@slow
					def   A  (				self     :						Optional[int]   )  ->  int:
							lowercase_ : Optional[Any]							       =   "Hello World!"
							lowercase_ : Optional[int]							       =   [65, 1_85_36, 22_60, 1_01, 66]

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




					@slow
					def   A  (				self     :						Tuple   )  ->  Optional[Any]:
							lowercase_ : Tuple							       =   (
							    "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
							lowercase_ : Optional[Any]							       =   [65, 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, 66]  # noqa: E231
							# fmt: on
							self.assertListEqual(lowercase_    ,						self.big_tokenizer.encode(lowercase_   )   )




					@require_torch
					@slow
					def   A  (				self     :						List[Any]   )  ->  int:
							import torch

							from transformers import BigBirdConfig, BigBirdModel

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

							lowercase_ : Optional[int]							       =   BigBirdConfig(attention_type='''original_full'''   )
							lowercase_ : List[str]							       =   BigBirdModel(lowercase_   )

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

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




					@slow
					def   A  (				self     :						str   )  ->  Optional[int]:
							lowercase_ : List[Any]							       =   BigBirdTokenizer.from_pretrained('''google/bigbird-roberta-base'''   )
							lowercase_ : str							       =   tokenizer.decode(tokenizer('''Paris is the [MASK].'''   ).input_ids   )

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






					@slow
					def   A  (				self     :						Optional[int]   )  ->  Optional[Any]:
							# fmt: off
							lowercase_ : str							       =   {"input_ids": [[65, 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, 66], [65, 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, 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, 4_84, 21_69, 76_87, 2_19_32, 1_81_46, 7_26, 3_63, 1_70_32, 33_91, 1_14, 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=lowercase_    ,						model_name='''google/bigbird-roberta-base'''    ,						revision='''215c99f1600e06f83acce68422f2035b2b5c3510'''    ,						)




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


UpperCamelCase  							=						{}

try:
      if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCamelCase  							=						['''GPTSw3Tokenizer''']


if TYPE_CHECKING:
      try:
            if not is_sentencepiece_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_gpt_swa import GPTSwaTokenizer

else:
      import sys

      UpperCamelCase  							=						_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



