





'''simple docstring'''

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_camembert import CamembertTokenizer
else:
			lowercase__						:      int	=    None


lowercase__						:      Any	=    logging.get_logger(__name__)

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

lowercase__						:      Optional[Any]	=    {
    'vocab_file': {
        'camembert-base': 'https://huggingface.co/camembert-base/resolve/main/sentencepiece.bpe.model',
    },
    'tokenizer_file': {
        'camembert-base': 'https://huggingface.co/camembert-base/resolve/main/tokenizer.json',
    },
}

lowercase__						:      List[str]	=    {
    'camembert-base': 5_12,
}

lowercase__						:      Optional[int]	=    '▁'
class     __lowerCAmelCase					(   __magic_name__			):






							"""simple docstring"""
							_snake_case     :					Any						    =   VOCAB_FILES_NAMES
							_snake_case     :					Optional[int]						    =   PRETRAINED_VOCAB_FILES_MAP
							_snake_case     :					Optional[int]						    =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							_snake_case     :					Tuple						    =   ['input_ids', 'attention_mask']
							_snake_case     :					Union[str, Any]						    =   CamembertTokenizer





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

												'''simple docstring'''




												_UpperCamelCase       =	AddedToken(lowerCAmelCase__	,			lstrip=lowerCAmelCase__	,			rstrip=lowerCAmelCase__					) if isinstance(lowerCAmelCase__	,			lowerCAmelCase__					) else mask_token

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

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





							def snake_case__						(							self       :		Any	,			lowerCAmelCase__       :		List[int]	,			lowerCAmelCase__       :		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]
												_UpperCamelCase       =	[self.cls_token_id]
												_UpperCamelCase       =	[self.sep_token_id]
												return cls + token_ids_a + sep + sep + token_ids_a + sep





							def snake_case__						(							self       :		List[Any]	,			lowerCAmelCase__       :		List[int]	,			lowerCAmelCase__       :		Optional[List[int]] = None					)   ->					List[int]:

												'''simple docstring'''




												_UpperCamelCase       =	[self.sep_token_id]
												_UpperCamelCase       =	[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 snake_case__						(							self       :		Tuple	,			lowerCAmelCase__       :		str	,			lowerCAmelCase__       :		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(lowerCAmelCase__					):
																	logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""					)
																	return
												_UpperCamelCase       =	os.path.join(
												    lowerCAmelCase__	,			(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']					)

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

												return (out_vocab_file,)










'''simple docstring'''

import warnings

from ...utils import logging
from .image_processing_owlvit import OwlViTImageProcessor


lowercase__						:      Optional[Any]	=    logging.get_logger(__name__)
class     __lowerCAmelCase					(   __magic_name__			):






       """simple docstring"""





       def __init__(							self       :		List[Any]	,			*lowerCAmelCase__       :		List[str]	,			**lowerCAmelCase__       :		List[str]					)   ->					None:

            '''simple docstring'''




            warnings.warn(
                '''The class OwlViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
                ''' use OwlViTImageProcessor instead.'''	,			lowerCAmelCase__	,			)
            super().__init__(*lowerCAmelCase__	,			**lowerCAmelCase__					)



