



'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__lowerCAmelCase									=   logging.get_logger(__name__)

__lowerCAmelCase									=   {
    '''facebook/data2vec-text-base''': '''https://huggingface.co/data2vec/resolve/main/config.json''',
}

class 	__magic_name__						(    _UpperCamelCase   ):
							lowerCAmelCase       :    List[Any]   				=					'data2vec-text'







							def __init__(							self					:       Tuple	,_UpperCAmelCase					:       int=30522	,_UpperCAmelCase					:       Tuple=768	,_UpperCAmelCase					:       Optional[int]=12	,_UpperCAmelCase					:       List[str]=12	,_UpperCAmelCase					:       Any=3072	,_UpperCAmelCase					:       List[str]="gelu"	,_UpperCAmelCase					:       Optional[Any]=0.1	,_UpperCAmelCase					:       Dict=0.1	,_UpperCAmelCase					:       int=512	,_UpperCAmelCase					:       Tuple=2	,_UpperCAmelCase					:       str=0.02	,_UpperCAmelCase					:       int=1E-12	,_UpperCAmelCase					:       Tuple=1	,_UpperCAmelCase					:       Tuple=0	,_UpperCAmelCase					:       Any=2	,_UpperCAmelCase					:       Any="absolute"	,_UpperCAmelCase					:       Optional[Any]=True	,_UpperCAmelCase					:       List[str]=None	,**_UpperCAmelCase					:       Dict	,):
									super().__init__(pad_token_id=_UpperCAmelCase	,bos_token_id=_UpperCAmelCase	,eos_token_id=_UpperCAmelCase	,**_UpperCAmelCase		)

									_a     :      Optional[Any]        =							vocab_size
									_a     :      Dict        =							hidden_size
									_a     :      Tuple        =							num_hidden_layers
									_a     :      Optional[int]        =							num_attention_heads
									_a     :      Union[str, Any]        =							hidden_act
									_a     :      Optional[int]        =							intermediate_size
									_a     :      Optional[int]        =							hidden_dropout_prob
									_a     :      List[str]        =							attention_probs_dropout_prob
									_a     :      List[Any]        =							max_position_embeddings
									_a     :      str        =							type_vocab_size
									_a     :      Union[str, Any]        =							initializer_range
									_a     :      Optional[int]        =							layer_norm_eps
									_a     :      Optional[Any]        =							position_embedding_type
									_a     :      Dict        =							use_cache
									_a     :      Any        =							classifier_dropout

class 	__magic_name__						(    _UpperCamelCase   ):







							@property
							def 							__lowercase			(							self					:       Union[str, Any]		):
									if self.task == "multiple-choice":
											_a     :      Optional[Any]        =							{0: 'batch', 1: 'choice', 2: 'sequence'}
									else:
											_a     :      Dict        =							{0: 'batch', 1: 'sequence'}
									return OrderedDict(
									    [
									        ('input_ids', dynamic_axis),
									        ('attention_mask', dynamic_axis),
									    ]		)






import os
import unittest

from transformers import LxmertTokenizer, LxmertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class 						lowercase__  (						_UpperCAmelCase     ,       unittest.TestCase  ):
	A__    :   Dict				       =LxmertTokenizer
	A__    :   List[Any]				       =LxmertTokenizerFast
	A__    :   Any				       =True
	A__    :   List[Any]				       =True
	def      A_				(			self							:   Optional[Any]							):
						super().setUp()

						SCREAMING_SNAKE_CASE__													= [
						    '[UNK]',
						    '[CLS]',
						    '[SEP]',
						    'want',
						    '##want',
						    '##ed',
						    'wa',
						    'un',
						    'runn',
						    '##ing',
						    ',',
						    'low',
						    'lowest',
						]
						SCREAMING_SNAKE_CASE__													= os.path.join(self.tmpdirname       ,   VOCAB_FILES_NAMES['vocab_file']							)
						with open(self.vocab_file       ,   'w'       ,   encoding='utf-8'							) as vocab_writer:
											vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]							)							)
	def      A_				(			self							:   int       ,   UpperCAmelCase_							:   int							):
						SCREAMING_SNAKE_CASE__													= 'UNwant\u00E9d,running'
						SCREAMING_SNAKE_CASE__													= 'unwanted, running'
						return input_text, output_text
	def      A_				(			self							:   Optional[Any]							):
						SCREAMING_SNAKE_CASE__													= self.tokenizer_class(self.vocab_file							)

						SCREAMING_SNAKE_CASE__													= tokenizer.tokenize('UNwant\u00E9d,running'							)
						self.assertListEqual(UpperCAmelCase_       ,   ['un', '##want', '##ed', ',', 'runn', '##ing']							)
						self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_							)       ,   [7, 4, 5, 10, 8, 9]							)





	def      A_				(			self							:   List[str]							):
						if not self.test_rust_tokenizer:
											return

						SCREAMING_SNAKE_CASE__													= self.get_tokenizer()
						SCREAMING_SNAKE_CASE__													= self.get_rust_tokenizer()

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

						SCREAMING_SNAKE_CASE__													= tokenizer.tokenize(UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= rust_tokenizer.tokenize(UpperCAmelCase_							)
						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)

						SCREAMING_SNAKE_CASE__													= tokenizer.encode(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= rust_tokenizer.encode(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)
						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)

						SCREAMING_SNAKE_CASE__													= self.get_rust_tokenizer()
						SCREAMING_SNAKE_CASE__													= tokenizer.encode(UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= rust_tokenizer.encode(UpperCAmelCase_							)
						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)





