



"""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_   						=   '▁'

lowerCAmelCase_   						=   get_tests_dir('fixtures/test_sentencepiece.model')
@require_sentencepiece
@require_tokenizers
class        __A       (	A_     ,unittest.TestCase    ):







		'''simple docstring'''





		lowerCAmelCase			:					int   	=				BigBirdTokenizer
		lowerCAmelCase			:					Any   	=				BigBirdTokenizerFast
		lowerCAmelCase			:					Union[str, Any]   	=				True
		lowerCAmelCase			:					List[Any]   	=				True







		def 					UpperCAmelCase    (	self						:  Dict						)					->		Optional[Any]:






				"""simple docstring"""



				super().setUp()

				lowercase__   :    Tuple				=			self.tokenizer_class(_snake_case			,keep_accents=_snake_case						)
				tokenizer.save_pretrained(self.tmpdirname						)







		def 					UpperCAmelCase    (	self						:  str						)					->		Any:






				"""simple docstring"""



				lowercase__   :    Tuple				=			'''<s>'''
				lowercase__   :    Optional[Any]				=			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 					UpperCAmelCase    (	self						:  Dict						)					->		str:






				"""simple docstring"""



				lowercase__   :    Optional[int]				=			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						)			,1_004						)







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






				"""simple docstring"""



				self.assertEqual(self.get_tokenizer().vocab_size			,1_000						)







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






				"""simple docstring"""



				if not self.test_rust_tokenizer:
						return

				lowercase__   :    Optional[int]				=			self.get_tokenizer()
				lowercase__   :    int				=			self.get_rust_tokenizer()

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

				lowercase__   :    Dict				=			tokenizer.tokenize(_snake_case						)
				lowercase__   :    Any				=			rust_tokenizer.tokenize(_snake_case						)
				self.assertListEqual(_snake_case			,_snake_case						)

				lowercase__   :    Any				=			tokenizer.encode(_snake_case			,add_special_tokens=_snake_case						)
				lowercase__   :    Optional[Any]				=			rust_tokenizer.encode(_snake_case			,add_special_tokens=_snake_case						)
				self.assertListEqual(_snake_case			,_snake_case						)

				lowercase__   :    List[Any]				=			self.get_rust_tokenizer()
				lowercase__   :    Dict				=			tokenizer.encode(_snake_case						)
				lowercase__   :    Tuple				=			rust_tokenizer.encode(_snake_case						)
				self.assertListEqual(_snake_case			,_snake_case						)







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






				"""simple docstring"""



				lowercase__   :    Optional[int]				=			BigBirdTokenizer(_snake_case			,keep_accents=_snake_case						)

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

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

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

				lowercase__   :    str				=			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 					UpperCAmelCase    (	self						:  List[Any]						)					->		int:






				"""simple docstring"""



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







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






				"""simple docstring"""



				lowercase__   :    Optional[int]				=			'''Hello World!'''
				lowercase__   :    Union[str, Any]				=			[65, 18_536, 2_260, 101, 66]

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







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






				"""simple docstring"""



				lowercase__   :    Dict				=			(
				    '''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__   :    int				=			[65, 871, 419, 358, 946, 991, 2_521, 452, 358, 1_357, 387, 7_751, 3_536, 112, 985, 456, 126, 865, 938, 5_400, 5_734, 458, 1_368, 467, 786, 2_462, 5_246, 1_159, 633, 865, 4_519, 457, 582, 852, 2_557, 427, 916, 508, 405, 34_324, 497, 391, 408, 11_342, 1_244, 385, 100, 938, 985, 456, 574, 362, 12_597, 3_200, 3_129, 1_172, 66]  # noqa: E231
				# fmt: on
				self.assertListEqual(_snake_case			,self.big_tokenizer.encode(_snake_case						)						)







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






				"""simple docstring"""



				import torch

				from transformers import BigBirdConfig, BigBirdModel

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

				lowercase__   :    Tuple				=			BigBirdConfig(attention_type='''original_full'''						)
				lowercase__   :    Any				=			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 					UpperCAmelCase    (	self						:  int						)					->		Tuple:






				"""simple docstring"""



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

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







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






				"""simple docstring"""



				lowercase__   :    Union[str, Any]				=			{'''input_ids''': [[65, 39_286, 458, 36_335, 2_001, 456, 13_073, 13_266, 455, 113, 7_746, 1_741, 11_157, 391, 13_073, 13_266, 455, 113, 3_967, 35_412, 113, 4_936, 109, 3_870, 2_377, 113, 30_084, 45_720, 458, 134, 17_496, 112, 503, 11_672, 113, 118, 112, 5_665, 13_347, 38_687, 112, 1_496, 31_389, 112, 3_268, 47_264, 134, 962, 112, 16_377, 8_035, 23_130, 430, 12_169, 15_518, 28_592, 458, 146, 41_697, 109, 391, 12_169, 15_518, 16_689, 458, 146, 41_358, 109, 452, 726, 4_034, 111, 763, 35_412, 5_082, 388, 1_903, 111, 9_051, 391, 2_870, 48_918, 1_900, 1_123, 550, 998, 112, 9_586, 15_985, 455, 391, 410, 22_955, 37_636, 114, 66], [65, 448, 17_496, 419, 3_663, 385, 763, 113, 27_533, 2_870, 3_283, 13_043, 1_639, 24_713, 523, 656, 24_013, 18_550, 2_521, 517, 27_014, 21_244, 420, 1_212, 1_465, 391, 927, 4_833, 388, 578, 11_786, 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, 2_169, 7_687, 21_932, 18_146, 726, 363, 17_032, 3_391, 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=_snake_case			,model_name='''google/bigbird-roberta-base'''			,revision='''215c99f1600e06f83acce68422f2035b2b5c3510'''			,)





"""simple docstring"""







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCAmelCase_   						=   {'configuration_xglm': ['XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP', 'XGLMConfig']}

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

try:
							if not is_tokenizers_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase_   						=   ['XGLMTokenizerFast']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase_   						=   [
							    'XGLM_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'XGLMForCausalLM',
							    'XGLMModel',
							    'XGLMPreTrainedModel',
							]


try:
							if not is_flax_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase_   						=   [
							    'FlaxXGLMForCausalLM',
							    'FlaxXGLMModel',
							    'FlaxXGLMPreTrainedModel',
							]


try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase_   						=   [
							    'TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'TFXGLMForCausalLM',
							    'TFXGLMModel',
							    'TFXGLMPreTrainedModel',
							]


if TYPE_CHECKING:
							from .configuration_xglm import XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP, XGLMConfig

							try:
														if not is_sentencepiece_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_xglm import XGLMTokenizer

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_xglm_fast import XGLMTokenizerFast

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_xglm import XGLM_PRETRAINED_MODEL_ARCHIVE_LIST, XGLMForCausalLM, XGLMModel, XGLMPreTrainedModel

							try:
														if not is_flax_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_flax_xglm import FlaxXGLMForCausalLM, FlaxXGLMModel, FlaxXGLMPreTrainedModel

							try:
														if not is_tf_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_tf_xglm import (
														    TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST,
														    TFXGLMForCausalLM,
														    TFXGLMModel,
														    TFXGLMPreTrainedModel,
														)


else:
							import sys

							lowerCAmelCase_   						=   _LazyModule(__name__, globals()['__file__'], _import_structure)
