





'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


A   : Dict            =			{'configuration_timm_backbone': ['TimmBackboneConfig']}


try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A   : List[Any]            =			['TimmBackbone']


if TYPE_CHECKING:
		from .configuration_timm_backbone import TimmBackboneConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_timm_backbone import TimmBackbone

else:
		import sys

		A   : Union[str, Any]            =			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)












'''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   : Tuple             =			'▁'

A   : Optional[Any]             =			get_tests_dir('fixtures/test_sentencepiece.model')







@require_sentencepiece
@require_tokenizers
class 			lowerCamelCase					(						__UpperCAmelCase     ,							unittest.TestCase  ):
					_SCREAMING_SNAKE_CASE							   =    BigBirdTokenizer
					_SCREAMING_SNAKE_CASE							   =    BigBirdTokenizerFast
					_SCREAMING_SNAKE_CASE							   =    True
					_SCREAMING_SNAKE_CASE							   =    True


					def    SCREAMING_SNAKE_CASE_		(					self	:  str       ):





											'''simple docstring'''





											super().setUp()

											_snake_case:   Dict  					=		self.tokenizer_class(__snake_case       ,     keep_accents=__snake_case       )
											tokenizer.save_pretrained(self.tmpdirname       )


					def    SCREAMING_SNAKE_CASE_		(					self	:  Union[str, Any]       ):





											'''simple docstring'''





											_snake_case:   List[str]  					=		'<s>'
											_snake_case:   Tuple  					=		1

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


					def    SCREAMING_SNAKE_CASE_		(					self	:  int       ):





											'''simple docstring'''





											_snake_case:   Dict  					=		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(__snake_case       )       ,     10_04       )


					def    SCREAMING_SNAKE_CASE_		(					self	:  int       ):





											'''simple docstring'''





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


					def    SCREAMING_SNAKE_CASE_		(					self	:  List[str]       ):





											'''simple docstring'''





											if not self.test_rust_tokenizer:
																	return

											_snake_case:   Optional[int]  					=		self.get_tokenizer()
											_snake_case:   Union[str, Any]  					=		self.get_rust_tokenizer()

											_snake_case:   List[str]  					=		'I was born in 92000, and this is falsé.'

											_snake_case:   str  					=		tokenizer.tokenize(__snake_case       )
											_snake_case:   Dict  					=		rust_tokenizer.tokenize(__snake_case       )
											self.assertListEqual(__snake_case       ,     __snake_case       )

											_snake_case:   Union[str, Any]  					=		tokenizer.encode(__snake_case       ,     add_special_tokens=__snake_case       )
											_snake_case:   List[Any]  					=		rust_tokenizer.encode(__snake_case       ,     add_special_tokens=__snake_case       )
											self.assertListEqual(__snake_case       ,     __snake_case       )

											_snake_case:   Optional[int]  					=		self.get_rust_tokenizer()
											_snake_case:   int  					=		tokenizer.encode(__snake_case       )
											_snake_case:   Tuple  					=		rust_tokenizer.encode(__snake_case       )
											self.assertListEqual(__snake_case       ,     __snake_case       )


					def    SCREAMING_SNAKE_CASE_		(					self	:  str       ):





											'''simple docstring'''





											_snake_case:   Tuple  					=		BigBirdTokenizer(__snake_case       ,     keep_accents=__snake_case       )

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

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

											_snake_case:   Any  					=		tokenizer.tokenize('I was born in 92000, and this is falsé.'       )
											self.assertListEqual(
											    __snake_case       ,     [
											        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',
											        '.',
											    ]       ,     )
											_snake_case:   List[Any]  					=		tokenizer.convert_tokens_to_ids(__snake_case       )
											self.assertListEqual(
											    __snake_case       ,     [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]       ,     )

											_snake_case:   Optional[Any]  					=		tokenizer.convert_ids_to_tokens(__snake_case       )
											self.assertListEqual(
											    __snake_case       ,     [
											        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    SCREAMING_SNAKE_CASE_		(					self	:  Optional[int]       ):





											'''simple docstring'''





											return BigBirdTokenizer.from_pretrained('google/bigbird-roberta-base'       )


					@slow
					def    SCREAMING_SNAKE_CASE_		(					self	:  Dict       ):





											'''simple docstring'''





											_snake_case:   Dict  					=		'Hello World!'
											_snake_case:   Optional[int]  					=		[65, 1_85_36, 22_60, 1_01, 66]

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


					@slow
					def    SCREAMING_SNAKE_CASE_		(					self	:  Union[str, Any]       ):





											'''simple docstring'''





											_snake_case:   str  					=		(
											    '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
											_snake_case:   str  					=		[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(__snake_case       ,     self.big_tokenizer.encode(__snake_case       )       )


					@require_torch
					@slow
					def    SCREAMING_SNAKE_CASE_		(					self	:  Optional[int]       ):





											'''simple docstring'''





											import torch

											from transformers import BigBirdConfig, BigBirdModel

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

											_snake_case:   int  					=		BigBirdConfig(attention_type='original_full'       )
											_snake_case:   int  					=		BigBirdModel(__snake_case       )

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

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


					@slow
					def    SCREAMING_SNAKE_CASE_		(					self	:  List[Any]       ):





											'''simple docstring'''





											_snake_case:   Tuple  					=		BigBirdTokenizer.from_pretrained('google/bigbird-roberta-base'       )
											_snake_case:   Optional[Any]  					=		tokenizer.decode(tokenizer('Paris is the [MASK].'       ).input_ids       )

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




					@slow
					def    SCREAMING_SNAKE_CASE_		(					self	:  int       ):





											'''simple docstring'''





											_snake_case:   Dict  					=		{'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=__snake_case       ,     model_name='google/bigbird-roberta-base'       ,     revision='215c99f1600e06f83acce68422f2035b2b5c3510'       ,     )





