


import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
			from .tokenization_barthez import BarthezTokenizer
else:
			lowerCAmelCase	=							None

lowerCAmelCase	=							logging.get_logger(__name__)

lowerCAmelCase	=							{'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

lowerCAmelCase	=							{
    'vocab_file': {
        'moussaKam/mbarthez': 'https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model',
        'moussaKam/barthez': 'https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model',
        'moussaKam/barthez-orangesum-title': (
            'https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model'
        ),
    },
    'tokenizer_file': {
        'moussaKam/mbarthez': 'https://huggingface.co/moussaKam/mbarthez/resolve/main/tokenizer.json',
        'moussaKam/barthez': 'https://huggingface.co/moussaKam/barthez/resolve/main/tokenizer.json',
        'moussaKam/barthez-orangesum-title': (
            'https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/tokenizer.json'
        ),
    },
}

lowerCAmelCase	=							{
    'moussaKam/mbarthez': 1024,
    'moussaKam/barthez': 1024,
    'moussaKam/barthez-orangesum-title': 1024,
}

lowerCAmelCase	=							'▁'


class 	_a							(      UpperCamelCase__      ):
							_lowercase     :      List[Any]  				=			VOCAB_FILES_NAMES
							_lowercase     :      Any  				=			PRETRAINED_VOCAB_FILES_MAP
							_lowercase     :      Optional[Any]  				=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							_lowercase     :      Optional[Any]  				=			['''input_ids''', '''attention_mask''']
							_lowercase     :      Union[str, Any]  				=			BarthezTokenizer

							def __init__(							self:     Optional[Any]   ,						UpperCamelCase_:     Dict=None   ,						UpperCamelCase_:     Optional[int]=None   ,						UpperCamelCase_:     List[str]="<s>"   ,						UpperCamelCase_:     Optional[Any]="</s>"   ,						UpperCamelCase_:     List[Any]="</s>"   ,						UpperCamelCase_:     Union[str, Any]="<s>"   ,						UpperCamelCase_:     List[str]="<unk>"   ,						UpperCamelCase_:     List[str]="<pad>"   ,						UpperCamelCase_:     List[str]="<mask>"   ,						**UpperCamelCase_:     List[str]   ,						)      ->       Dict:





									"""simple docstring"""







									lowercase__						=				AddedToken(UpperCamelCase_   ,						lstrip=UpperCamelCase_   ,						rstrip=UpperCamelCase_							) if isinstance(UpperCamelCase_   ,						UpperCamelCase_							) else mask_token

									super().__init__(
									    UpperCamelCase_   ,						tokenizer_file=UpperCamelCase_   ,						bos_token=UpperCamelCase_   ,						eos_token=UpperCamelCase_   ,						unk_token=UpperCamelCase_   ,						sep_token=UpperCamelCase_   ,						cls_token=UpperCamelCase_   ,						pad_token=UpperCamelCase_   ,						mask_token=UpperCamelCase_   ,						**UpperCamelCase_   ,						)

									lowercase__						=				vocab_file
									lowercase__						=				False if not self.vocab_file else True

							def 				lowerCamelCase_			(							self:     List[str]   ,						UpperCamelCase_:     List[int]   ,						UpperCamelCase_:     Optional[List[int]] = None							)      ->       List[int]:





									"""simple docstring"""







									if token_ids_a is None:
											return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
									lowercase__						=				[self.cls_token_id]
									lowercase__						=				[self.sep_token_id]
									return cls + token_ids_a + sep + sep + token_ids_a + sep

							def 				lowerCamelCase_			(							self:     int   ,						UpperCamelCase_:     List[int]   ,						UpperCamelCase_:     Optional[List[int]] = None							)      ->       List[int]:





									"""simple docstring"""







									lowercase__						=				[self.sep_token_id]
									lowercase__						=				[self.cls_token_id]

									if token_ids_a is None:
											return len(cls + token_ids_a + sep							) * [0]
									return len(cls + token_ids_a + sep + sep + token_ids_a + sep							) * [0]


							def 				lowerCamelCase_			(							self:     Dict   ,						UpperCamelCase_:     str   ,						UpperCamelCase_:     Optional[str] = None							)      ->       Tuple[str]:





									"""simple docstring"""







									if not self.can_save_slow_tokenizer:
											raise ValueError(
											    '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
											    '''tokenizer.'''							)

									if not os.path.isdir(UpperCamelCase_							):
											logger.error(f'Vocabulary path ({save_directory}) should be a directory'							)
											return
									lowercase__						=				os.path.join(
									    UpperCamelCase_   ,						(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']							)

									if os.path.abspath(self.vocab_file							) != os.path.abspath(UpperCamelCase_							):
											copyfile(self.vocab_file   ,						UpperCamelCase_							)

									return (out_vocab_file,)






from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase	=							logging.get_logger(__name__)

lowerCAmelCase	=							{
    'unc-nlp/lxmert-base-uncased': 'https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/config.json',
}


class 	_a							(      UpperCamelCase__      ):
							_lowercase     :      List[Any]  				=			'''lxmert'''
							_lowercase     :      Any  				=			{}

							def __init__(							self:     Any   ,						UpperCamelCase_:     List[Any]=30_522   ,						UpperCamelCase_:     int=768   ,						UpperCamelCase_:     Optional[Any]=12   ,						UpperCamelCase_:     Dict=9_500   ,						UpperCamelCase_:     List[Any]=1_600   ,						UpperCamelCase_:     List[Any]=400   ,						UpperCamelCase_:     List[str]=3_072   ,						UpperCamelCase_:     int="gelu"   ,						UpperCamelCase_:     Any=0.1   ,						UpperCamelCase_:     int=0.1   ,						UpperCamelCase_:     List[str]=512   ,						UpperCamelCase_:     Optional[int]=2   ,						UpperCamelCase_:     Union[str, Any]=0.02   ,						UpperCamelCase_:     Dict=1E-1_2   ,						UpperCamelCase_:     List[Any]=9   ,						UpperCamelCase_:     List[Any]=5   ,						UpperCamelCase_:     Optional[Any]=5   ,						UpperCamelCase_:     str=2_048   ,						UpperCamelCase_:     Dict=4   ,						UpperCamelCase_:     Any=6.67   ,						UpperCamelCase_:     Dict=True   ,						UpperCamelCase_:     List[str]=True   ,						UpperCamelCase_:     Dict=True   ,						UpperCamelCase_:     Any=True   ,						UpperCamelCase_:     Tuple=True   ,						UpperCamelCase_:     Optional[Any]=True   ,						UpperCamelCase_:     Any=True   ,						**UpperCamelCase_:     Union[str, Any]   ,						)      ->       Union[str, Any]:





									"""simple docstring"""







									lowercase__						=				vocab_size
									lowercase__						=				hidden_size
									lowercase__						=				num_attention_heads
									lowercase__						=				hidden_act
									lowercase__						=				intermediate_size
									lowercase__						=				hidden_dropout_prob
									lowercase__						=				attention_probs_dropout_prob
									lowercase__						=				max_position_embeddings
									lowercase__						=				type_vocab_size
									lowercase__						=				initializer_range
									lowercase__						=				layer_norm_eps
									lowercase__						=				num_qa_labels
									lowercase__						=				num_object_labels
									lowercase__						=				num_attr_labels
									lowercase__						=				l_layers
									lowercase__						=				x_layers
									lowercase__						=				r_layers
									lowercase__						=				visual_feat_dim
									lowercase__						=				visual_pos_dim
									lowercase__						=				visual_loss_normalizer
									lowercase__						=				task_matched
									lowercase__						=				task_mask_lm
									lowercase__						=				task_obj_predict
									lowercase__						=				task_qa
									lowercase__						=				visual_obj_loss
									lowercase__						=				visual_attr_loss
									lowercase__						=				visual_feat_loss
									lowercase__						=				{'''vision''': r_layers, '''cross_encoder''': x_layers, '''language''': l_layers}
									super().__init__(**UpperCamelCase_							)


