





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_fnet import FNetTokenizer
else:
      SCREAMING_SNAKE_CASE_		     = None

SCREAMING_SNAKE_CASE_		     = logging.get_logger(__name__)
SCREAMING_SNAKE_CASE_		     = {"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

SCREAMING_SNAKE_CASE_		     = {
    """vocab_file""": {
        """google/fnet-base""": """https://huggingface.co/google/fnet-base/resolve/main/spiece.model""",
        """google/fnet-large""": """https://huggingface.co/google/fnet-large/resolve/main/spiece.model""",
    },
    """tokenizer_file""": {
        """google/fnet-base""": """https://huggingface.co/google/fnet-base/resolve/main/tokenizer.json""",
        """google/fnet-large""": """https://huggingface.co/google/fnet-large/resolve/main/tokenizer.json""",
    },
}

SCREAMING_SNAKE_CASE_		     = {
    """google/fnet-base""": 5_1_2,
    """google/fnet-large""": 5_1_2,
}

SCREAMING_SNAKE_CASE_		     = """▁"""

class 	UpperCamelCase__				(   lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			str				=    VOCAB_FILES_NAMES
     __snake_case					:			Union[str, Any]				=    PRETRAINED_VOCAB_FILES_MAP
     __snake_case					:			Optional[int]				=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __snake_case					:			Any				=    ["input_ids", "token_type_ids"]
     __snake_case					:			str				=    FNetTokenizer






     def __init__(							self		:					int		,lowerCamelCase__		:					Tuple=None		,lowerCamelCase__		:					Tuple=None		,lowerCamelCase__		:					Union[str, Any]=False		,lowerCamelCase__		:					List[str]=True		,lowerCamelCase__		:					Any=True		,lowerCamelCase__		:					Tuple="<unk>"		,lowerCamelCase__		:					str="[SEP]"		,lowerCamelCase__		:					Optional[int]="<pad>"		,lowerCamelCase__		:					Union[str, Any]="[CLS]"		,lowerCamelCase__		:					Union[str, Any]="[MASK]"		,**lowerCamelCase__		:					Tuple		,)  ->	List[str]:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE	=		(
               AddedToken(lowerCamelCase__		,lstrip=lowerCamelCase__		,rstrip=lowerCamelCase__		,normalized=lowerCamelCase__ )
               if isinstance(lowerCamelCase__		,lowerCamelCase__ )
               else mask_token
           )

           super().__init__(
               lowerCamelCase__		,tokenizer_file=lowerCamelCase__		,do_lower_case=lowerCamelCase__		,remove_space=lowerCamelCase__		,keep_accents=lowerCamelCase__		,unk_token=lowerCamelCase__		,sep_token=lowerCamelCase__		,pad_token=lowerCamelCase__		,cls_token=lowerCamelCase__		,mask_token=lowerCamelCase__		,**lowerCamelCase__		,)

           SCREAMING_SNAKE_CASE	=		do_lower_case
           SCREAMING_SNAKE_CASE	=		remove_space
           SCREAMING_SNAKE_CASE	=		keep_accents
           SCREAMING_SNAKE_CASE	=		vocab_file
           SCREAMING_SNAKE_CASE	=		False if not self.vocab_file else True






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




           '''simple docstring'''


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






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




           '''simple docstring'''


           SCREAMING_SNAKE_CASE	=		[self.sep_token_id]
           SCREAMING_SNAKE_CASE	=		[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 ) * [0] + len(token_ids_a + sep ) * [1]






     def        SCREAMING_SNAKE_CASE__						(							self		:					List[Any]		,lowerCamelCase__		:					str		,lowerCamelCase__		:					Optional[str] = None )  ->	Tuple[str]:




           '''simple docstring'''


           if not os.path.isdir(lowerCamelCase__ ):
                 logger.error(F"""Vocabulary path ({save_directory}) should be a directory""" )
                 return
           SCREAMING_SNAKE_CASE	=		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,)









import warnings

from ...utils import logging
from .image_processing_deformable_detr import DeformableDetrImageProcessor


SCREAMING_SNAKE_CASE_		     = logging.get_logger(__name__)

class 	UpperCamelCase__				(   lowerCAmelCase_     ):



     '''simple docstring'''

     def __init__(							self		:					int		,*lowerCamelCase__		:					int		,**lowerCamelCase__		:					List[Any] )  ->	None:




           '''simple docstring'''


           warnings.warn(
               """The class DeformableDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
               """ Please use DeformableDetrImageProcessor instead."""		,lowerCamelCase__		,)
           super().__init__(*lowerCamelCase__		,**lowerCamelCase__ )


