


'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

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


lowerCAmelCase				:Optional[int]        =      logging.get_logger(__name__)

lowerCAmelCase				:List[str]        =      {
    '''camembert-base''': '''https://huggingface.co/camembert-base/resolve/main/config.json''',
    '''umberto-commoncrawl-cased-v1''': (
        '''https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1/resolve/main/config.json'''
    ),
    '''umberto-wikipedia-uncased-v1''': (
        '''https://huggingface.co/Musixmatch/umberto-wikipedia-uncased-v1/resolve/main/config.json'''
    ),
}
class _lowerCamelCase	(						lowercase__							):



		'''simple docstring'''







		A_     :      Optional[Any]				   =    """camembert"""







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

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







class _lowerCamelCase	(						lowercase__							):



		'''simple docstring'''







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



'''simple docstring'''

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 _lowerCamelCase	(						lowercase__		,					unittest.TestCase							):



		'''simple docstring'''







		A_     :      Optional[Any]				   =    LxmertTokenizer
		A_     :      List[Any]				   =    LxmertTokenizerFast
		A_     :      int				   =    True
		A_     :      Any				   =    True







		def        __lowerCAmelCase		( self		:						List[str]      )  ->			Tuple:
			super().setUp()

			__magic_name__	:   str					     =					[
			    '[UNK]',
			    '[CLS]',
			    '[SEP]',
			    'want',
			    '##want',
			    '##ed',
			    'wa',
			    'un',
			    'runn',
			    '##ing',
			    ',',
			    'low',
			    'lowest',
			]
			__magic_name__	:   List[str]					     =					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        __lowerCAmelCase		( self		:						Any  ,					_A		:						str      )  ->			List[Any]:
			__magic_name__	:   Dict					     =					'UNwant\u00E9d,running'
			__magic_name__	:   Dict					     =					'unwanted, running'
			return input_text, output_text







		def        __lowerCAmelCase		( self		:						Tuple      )  ->			Optional[int]:
			__magic_name__	:   Optional[Any]					     =					self.tokenizer_class(self.vocab_file      )

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







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

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

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

			__magic_name__	:   List[Any]					     =					tokenizer.tokenize(_A      )
			__magic_name__	:   Dict					     =					rust_tokenizer.tokenize(_A      )
			self.assertListEqual(_A  ,					_A      )

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

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