

'''simple docstring'''

import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


lowercase__            =     logging.get_logger(__name__)


lowercase__            =     {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt"""}

# See all MVP models at https://huggingface.co/models?filter=mvp
lowercase__            =     {
    """vocab_file""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json""",
    },
    """added_tokens.json""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json""",
    },
    """merges_file""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt""",
    },
}

lowercase__            =     {
    """RUCAIBox/mvp""": 1024,
}




@lru_cache()
def  UpperCamelCase(	):
 UpperCAmelCase			:      List[str]		   =					(
     list(range(ord('!'      )    ,			ord('~'      ) + 1      )      ) + list(range(ord('¡'      )    ,			ord('¬'      ) + 1      )      ) + list(range(ord('®'      )    ,			ord('ÿ'      ) + 1      )      )
 )
 UpperCAmelCase			:      Optional[int]		   =					bs[:]
 UpperCAmelCase			:      int		   =					0
 for b in range(2**8      ):
  if b not in bs:
   bs.append(lowercase__      )
   cs.append(2**8 + n      )
   n += 1
 UpperCAmelCase			:      str		   =					[chr(lowercase__      ) for n in cs]
 return dict(zip(lowercase__    ,			lowercase__      )      )




def  UpperCamelCase(	UpperCAmelCase_      ):
 UpperCAmelCase			:      str		   =					set()
 UpperCAmelCase			:      Any		   =					word[0]
 for char in word[1:]:
  pairs.add((prev_char, char)      )
  UpperCAmelCase			:      Optional[Any]		   =					char
 return pairs




class 			A_					(							_lowerCamelCase				):






     '''simple docstring'''



     UpperCAmelCase_		:      Any    						=    VOCAB_FILES_NAMES
     UpperCAmelCase_		:      int    						=    PRETRAINED_VOCAB_FILES_MAP
     UpperCAmelCase_		:      Tuple    						=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     UpperCAmelCase_		:      Any    						=    ["""input_ids""", """attention_mask"""]


     def __init__(						self					:	Union[str, Any]	,     lowercase_					:	Tuple	,     lowercase_					:	List[str]	,     lowercase_					:	Optional[int]="replace"	,     lowercase_					:	Dict="<s>"	,     lowercase_					:	str="</s>"	,     lowercase_					:	Dict="</s>"	,     lowercase_					:	Tuple="<s>"	,     lowercase_					:	List[str]="<unk>"	,     lowercase_					:	Optional[int]="<pad>"	,     lowercase_					:	Any="<mask>"	,     lowercase_					:	List[Any]=False	,     **lowercase_					:	Dict	,     )		->      Optional[int]:
      UpperCAmelCase			:      Tuple		   =					AddedToken(__lowerCamelCase	,     lstrip=__lowerCamelCase	,     rstrip=__lowerCamelCase			) if isinstance(__lowerCamelCase	,     __lowerCamelCase			) else bos_token
      UpperCAmelCase			:      Tuple		   =					AddedToken(__lowerCamelCase	,     lstrip=__lowerCamelCase	,     rstrip=__lowerCamelCase			) if isinstance(__lowerCamelCase	,     __lowerCamelCase			) else eos_token
      UpperCAmelCase			:      Tuple		   =					AddedToken(__lowerCamelCase	,     lstrip=__lowerCamelCase	,     rstrip=__lowerCamelCase			) if isinstance(__lowerCamelCase	,     __lowerCamelCase			) else sep_token
      UpperCAmelCase			:      Optional[int]		   =					AddedToken(__lowerCamelCase	,     lstrip=__lowerCamelCase	,     rstrip=__lowerCamelCase			) if isinstance(__lowerCamelCase	,     __lowerCamelCase			) else cls_token
      UpperCAmelCase			:      List[Any]		   =					AddedToken(__lowerCamelCase	,     lstrip=__lowerCamelCase	,     rstrip=__lowerCamelCase			) if isinstance(__lowerCamelCase	,     __lowerCamelCase			) else unk_token
      UpperCAmelCase			:      List[Any]		   =					AddedToken(__lowerCamelCase	,     lstrip=__lowerCamelCase	,     rstrip=__lowerCamelCase			) if isinstance(__lowerCamelCase	,     __lowerCamelCase			) else pad_token

      # Mask token behave like a normal word, i.e. include the space before it
      UpperCAmelCase			:      Optional[int]		   =					AddedToken(__lowerCamelCase	,     lstrip=__lowerCamelCase	,     rstrip=__lowerCamelCase			) if isinstance(__lowerCamelCase	,     __lowerCamelCase			) else mask_token

      super().__init__(
          errors=__lowerCamelCase	,     bos_token=__lowerCamelCase	,     eos_token=__lowerCamelCase	,     unk_token=__lowerCamelCase	,     sep_token=__lowerCamelCase	,     cls_token=__lowerCamelCase	,     pad_token=__lowerCamelCase	,     mask_token=__lowerCamelCase	,     add_prefix_space=__lowerCamelCase	,     **__lowerCamelCase	,     )
      with open(__lowerCamelCase	,     encoding='utf-8'			) as vocab_handle:
       UpperCAmelCase			:      Dict		   =					json.load(__lowerCamelCase			)
      UpperCAmelCase			:      List[str]		   =					{v: k for k, v in self.encoder.items()}
      UpperCAmelCase			:      Tuple		   =					errors  # how to handle errors in decoding
      UpperCAmelCase			:      str		   =					bytes_to_unicode()
      UpperCAmelCase			:      Union[str, Any]		   =					{v: k for k, v in self.byte_encoder.items()}
      with open(__lowerCamelCase	,     encoding='utf-8'			) as merges_handle:
       UpperCAmelCase			:      int		   =					merges_handle.read().split('\n'			)[1:-1]
      UpperCAmelCase			:      Union[str, Any]		   =					[tuple(merge.split()			) for merge in bpe_merges]
      UpperCAmelCase			:      Tuple		   =					dict(zip(__lowerCamelCase	,     range(len(__lowerCamelCase			)			)			)			)
      UpperCAmelCase			:      str		   =					{}
      UpperCAmelCase			:      int		   =					add_prefix_space

      # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
      UpperCAmelCase			:      str		   =					re.compile(R'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'			)


     @property
     def   UpperCAmelCase_			(						self					:	int			)		->      List[str]:
      return len(self.encoder			)


     def   UpperCAmelCase_			(						self					:	Union[str, Any]			)		->      Union[str, Any]:
      return dict(self.encoder	,     **self.added_tokens_encoder			)


     def   UpperCAmelCase_			(						self					:	str	,     lowercase_					:	int			)		->      int:




      if token in self.cache:
       return self.cache[token]
      UpperCAmelCase			:      List[str]		   =					tuple(__lowerCamelCase			)
      UpperCAmelCase			:      Any		   =					get_pairs(__lowerCamelCase			)

      if not pairs:
       return token

      while True:
       UpperCAmelCase			:      int		   =					min(__lowerCamelCase	,     key=lambda lowercase_			: self.bpe_ranks.get(__lowerCamelCase	,     float('inf'			)			)			)
       if bigram not in self.bpe_ranks:
        break
       UpperCAmelCase   ,					UpperCAmelCase			:      Optional[Any]		   =					bigram
       UpperCAmelCase			:      Dict		   =					[]
       UpperCAmelCase			:      List[Any]		   =					0
       while i < len(__lowerCamelCase			):
        try:
         UpperCAmelCase			:      List[Any]		   =					word.index(__lowerCamelCase	,     __lowerCamelCase			)
        except ValueError:
         new_word.extend(word[i:]			)
         break
        else:
         new_word.extend(word[i:j]			)
         UpperCAmelCase			:      List[Any]		   =					j

        if word[i] == first and i < len(__lowerCamelCase			) - 1 and word[i + 1] == second:
         new_word.append(first + second			)
         i += 2
        else:
         new_word.append(word[i]			)
         i += 1
       UpperCAmelCase			:      str		   =					tuple(__lowerCamelCase			)
       UpperCAmelCase			:      Any		   =					new_word
       if len(__lowerCamelCase			) == 1:
        break
       else:
        UpperCAmelCase			:      int		   =					get_pairs(__lowerCamelCase			)
      UpperCAmelCase			:      str		   =					' '.join(__lowerCamelCase			)
      UpperCAmelCase			:      int		   =					word
      return word


     def   UpperCAmelCase_			(						self					:	List[str]	,     lowercase_					:	int			)		->      List[str]:
      UpperCAmelCase			:      Dict		   =					[]
      for token in re.findall(self.pat	,     __lowerCamelCase			):
       UpperCAmelCase			:      Tuple		   =					''.join(
           self.byte_encoder[b] for b in token.encode('utf-8'			)			)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
       bpe_tokens.extend(bpe_token for bpe_token in self.bpe(__lowerCamelCase			).split(' '			)			)
      return bpe_tokens


     def   UpperCAmelCase_			(						self					:	Tuple	,     lowercase_					:	Optional[Any]			)		->      Optional[int]:
      return self.encoder.get(__lowerCamelCase	,     self.encoder.get(self.unk_token			)			)


     def   UpperCAmelCase_			(						self					:	Optional[int]	,     lowercase_					:	str			)		->      int:
      return self.decoder.get(__lowerCamelCase			)


     def   UpperCAmelCase_			(						self					:	List[str]	,     lowercase_					:	List[Any]			)		->      str:
      UpperCAmelCase			:      List[Any]		   =					''.join(__lowerCamelCase			)
      UpperCAmelCase			:      List[Any]		   =					bytearray([self.byte_decoder[c] for c in text]			).decode('utf-8'	,     errors=self.errors			)
      return text


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




      if not os.path.isdir(__lowerCamelCase			):
       logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""			)
       return
      UpperCAmelCase			:      List[Any]		   =					os.path.join(
          __lowerCamelCase	,     (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']			)
      UpperCAmelCase			:      Optional[Any]		   =					os.path.join(
          __lowerCamelCase	,     (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']			)

      with open(__lowerCamelCase	,     'w'	,     encoding='utf-8'			) as f:
       f.write(json.dumps(self.encoder	,     indent=2	,     sort_keys=__lowerCamelCase	,     ensure_ascii=__lowerCamelCase			) + '\n'			)

      UpperCAmelCase			:      Any		   =					0
      with open(__lowerCamelCase	,     'w'	,     encoding='utf-8'			) as writer:
       writer.write('#version: 0.2\n'			)
       for bpe_tokens, token_index in sorted(self.bpe_ranks.items()	,     key=lambda lowercase_			: kv[1]			):
        if index != token_index:
         logger.warning(
             f"""Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."""
             ' Please check that the tokenizer is not corrupted!'			)
         UpperCAmelCase			:      Optional[int]		   =					token_index
        writer.write(' '.join(__lowerCamelCase			) + '\n'			)
        index += 1

      return vocab_file, merge_file


     def   UpperCAmelCase_			(						self					:	Optional[int]	,     lowercase_					:	List[int]	,     lowercase_					:	Optional[List[int]] = None			)		->      List[int]:




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


     def   UpperCAmelCase_			(						self					:	List[Any]	,     lowercase_					:	List[int]	,     lowercase_					:	Optional[List[int]] = None	,     lowercase_					:	bool = False			)		->      List[int]:




      if already_has_special_tokens:
       return super().get_special_tokens_mask(
           token_ids_a=__lowerCamelCase	,     token_ids_a=__lowerCamelCase	,     already_has_special_tokens=__lowerCamelCase			)

      if token_ids_a is None:
       return [1] + ([0] * len(__lowerCamelCase			)) + [1]
      return [1] + ([0] * len(__lowerCamelCase			)) + [1, 1] + ([0] * len(__lowerCamelCase			)) + [1]


     def   UpperCAmelCase_			(						self					:	Tuple	,     lowercase_					:	List[int]	,     lowercase_					:	Optional[List[int]] = None			)		->      List[int]:
      UpperCAmelCase			:      Any		   =					[self.sep_token_id]
      UpperCAmelCase			:      Optional[Any]		   =					[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   UpperCAmelCase_			(						self					:	Optional[int]	,     lowercase_					:	Optional[int]	,     lowercase_					:	Optional[Any]=False	,     **lowercase_					:	Dict			)		->      Any:
      UpperCAmelCase			:      Optional[int]		   =					kwargs.pop('add_prefix_space'	,     self.add_prefix_space			)
      if (is_split_into_words or add_prefix_space) and (len(__lowerCamelCase			) > 0 and not text[0].isspace()):
       UpperCAmelCase			:      Optional[int]		   =					' ' + text
      return (text, kwargs)












'''simple docstring'''





from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


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

__A				:				Tuple					=		{
    """facebook/convnext-tiny-224""": """https://huggingface.co/facebook/convnext-tiny-224/resolve/main/config.json""",
    # See all ConvNeXT models at https://huggingface.co/models?filter=convnext
}
class 					lowercase							(				_lowerCamelCase			,							_lowerCamelCase   ):


    '''simple docstring'''

    lowerCAmelCase__   					=				"convnext"

    def __init__(       self  :  Any					,  __lowerCamelCase  :  Dict=3					,  __lowerCamelCase  :  int=4					,  __lowerCamelCase  :  Any=4					,  __lowerCamelCase  :  Dict=None					,  __lowerCamelCase  :  str=None					,  __lowerCamelCase  :  Optional[int]="gelu"					,  __lowerCamelCase  :  List[str]=0.0_2					,  __lowerCamelCase  :  int=1E-12					,  __lowerCamelCase  :  Optional[Any]=1E-6					,  __lowerCamelCase  :  Any=0.0					,  __lowerCamelCase  :  Union[str, Any]=224					,  __lowerCamelCase  :  Dict=None					,  __lowerCamelCase  :  List[str]=None					,  **__lowerCamelCase  :  Tuple					,  )				->				Dict:

     '''simple docstring'''




     super().__init__(**__lowerCamelCase  )

     lowerCamelCase__	=  num_channels
     lowerCamelCase__	=  patch_size
     lowerCamelCase__	=  num_stages
     lowerCamelCase__	=  [96, 192, 384, 768] if hidden_sizes is None else hidden_sizes
     lowerCamelCase__	=  [3, 3, 9, 3] if depths is None else depths
     lowerCamelCase__	=  hidden_act
     lowerCamelCase__	=  initializer_range
     lowerCamelCase__	=  layer_norm_eps
     lowerCamelCase__	=  layer_scale_init_value
     lowerCamelCase__	=  drop_path_rate
     lowerCamelCase__	=  image_size
     lowerCamelCase__	=  ["stem"] + [f'''stage{idx}''' for idx in range(1					,  len(self.depths  ) + 1  )]
     lowerCamelCase__	,						lowerCamelCase__	=  get_aligned_output_features_output_indices(
         out_features=__lowerCamelCase					,  out_indices=__lowerCamelCase					,  stage_names=self.stage_names  )
class 					lowercase							(				_lowerCamelCase   ):


    '''simple docstring'''

    lowerCAmelCase__   					=				version.parse("1.11"   )

    @property
    def  a__					(       self  :  List[Any]  )				->				Mapping[str, Mapping[int, str]]:

     '''simple docstring'''




     return OrderedDict(
         [
             ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
         ]  )




    @property
    def  a__					(       self  :  Tuple  )				->				float:

     '''simple docstring'''




     return 1E-5

