





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

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...tokenization_utils_base import BatchEncoding, EncodedInput
from ...utils import PaddingStrategy, logging


__lowercase  :   str						      =logging.get_logger(__name__)


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

# See all LED models at https://huggingface.co/models?filter=LED
__lowercase  :   Dict						      ={
    """vocab_file""": {
        """allenai/led-base-16384""": """https://huggingface.co/allenai/led-base-16384/resolve/main/vocab.json""",
    },
    """merges_file""": {
        """allenai/led-base-16384""": """https://huggingface.co/allenai/led-base-16384/resolve/main/merges.txt""",
    },
    """tokenizer_file""": {
        """allenai/led-base-16384""": """https://huggingface.co/allenai/led-base-16384/resolve/main/tokenizer.json""",
    },
}

__lowercase  :   List[Any]						      ={
    """allenai/led-base-16384""": 1_6384,
}




@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def     a__ (					):






   '''simple docstring'''






   UpperCAmelCase_											=(
       list(range(ord("!"  )  ,    ord("~"  ) + 1  )  ) + list(range(ord("¡"  )  ,    ord("¬"  ) + 1  )  ) + list(range(ord("®"  )  ,    ord("ÿ"  ) + 1  )  )
   )
   UpperCAmelCase_											=bs[:]
   UpperCAmelCase_											=0
   for b in range(2**8  ):
      if b not in bs:
         bs.append(lowercase__  )
         cs.append(2**8 + n  )
         n += 1
   UpperCAmelCase_											=[chr(lowercase__  ) for n in cs]
   return dict(zip(lowercase__  ,    lowercase__  )  )




def     a__ (					lowercase__  ):






   '''simple docstring'''






   UpperCAmelCase_											=set()
   UpperCAmelCase_											=word[0]
   for char in word[1:]:
      pairs.add((prev_char, char)  )
      UpperCAmelCase_											=char
   return pairs





class      A       (	__lowercase						):
      _snake_case							     =VOCAB_FILES_NAMES
      _snake_case							     =PRETRAINED_VOCAB_FILES_MAP
      _snake_case							     =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _snake_case							     =['''input_ids''', '''attention_mask''']



      def __init__(	self:						Tuple		,  _lowerCAmelCase:						Tuple		,  _lowerCAmelCase:						Any		,  _lowerCAmelCase:						Union[str, Any]="replace"		,  _lowerCAmelCase:						Optional[int]="<s>"		,  _lowerCAmelCase:						Tuple="</s>"		,  _lowerCAmelCase:						str="</s>"		,  _lowerCAmelCase:						List[Any]="<s>"		,  _lowerCAmelCase:						List[Any]="<unk>"		,  _lowerCAmelCase:						Any="<pad>"		,  _lowerCAmelCase:						List[Any]="<mask>"		,  _lowerCAmelCase:						int=False		,  **_lowerCAmelCase:						int		,  )						->    str:
         '''simple docstring'''

         UpperCAmelCase_											=AddedToken(_lowerCAmelCase		,  lstrip=_lowerCAmelCase		,  rstrip=_lowerCAmelCase       ) if isinstance(_lowerCAmelCase		,  _lowerCAmelCase       ) else bos_token
         UpperCAmelCase_											=AddedToken(_lowerCAmelCase		,  lstrip=_lowerCAmelCase		,  rstrip=_lowerCAmelCase       ) if isinstance(_lowerCAmelCase		,  _lowerCAmelCase       ) else eos_token
         UpperCAmelCase_											=AddedToken(_lowerCAmelCase		,  lstrip=_lowerCAmelCase		,  rstrip=_lowerCAmelCase       ) if isinstance(_lowerCAmelCase		,  _lowerCAmelCase       ) else sep_token
         UpperCAmelCase_											=AddedToken(_lowerCAmelCase		,  lstrip=_lowerCAmelCase		,  rstrip=_lowerCAmelCase       ) if isinstance(_lowerCAmelCase		,  _lowerCAmelCase       ) else cls_token
         UpperCAmelCase_											=AddedToken(_lowerCAmelCase		,  lstrip=_lowerCAmelCase		,  rstrip=_lowerCAmelCase       ) if isinstance(_lowerCAmelCase		,  _lowerCAmelCase       ) else unk_token
         UpperCAmelCase_											=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_											=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_											=json.load(_lowerCAmelCase       )
         UpperCAmelCase_											={v: k for k, v in self.encoder.items()}
         UpperCAmelCase_											=errors  # how to handle errors in decoding
         UpperCAmelCase_											=bytes_to_unicode()
         UpperCAmelCase_											={v: k for k, v in self.byte_encoder.items()}
         with open(_lowerCAmelCase		,  encoding="utf-8"       ) as merges_handle:
            UpperCAmelCase_											=merges_handle.read().split("\n"       )[1:-1]
         UpperCAmelCase_											=[tuple(merge.split()       ) for merge in bpe_merges]
         UpperCAmelCase_											=dict(zip(_lowerCAmelCase		,  range(len(_lowerCAmelCase       )       )       )       )
         UpperCAmelCase_											={}
         UpperCAmelCase_											=add_prefix_space

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



      @property
      # Copied from transformers.models.bart.tokenization_bart.BartTokenizer.vocab_size
      def 	lowerCAmelCase__    (	self:						List[Any]       )						->    Any:
         '''simple docstring'''

         return len(self.encoder       )



      def 	lowerCAmelCase__    (	self:						Optional[int]       )						->    str:
         '''simple docstring'''

         return dict(self.encoder		,  **self.added_tokens_encoder       )



      def 	lowerCAmelCase__    (	self:						int		,  _lowerCAmelCase:						Dict       )						->    int:
         '''simple docstring'''

         if token in self.cache:
            return self.cache[token]
         UpperCAmelCase_											=tuple(_lowerCAmelCase       )
         UpperCAmelCase_											=get_pairs(_lowerCAmelCase       )

         if not pairs:
            return token

         while True:
            UpperCAmelCase_											=min(_lowerCAmelCase		,  key=lambda _lowerCAmelCase       : self.bpe_ranks.get(_lowerCAmelCase		,  float("inf"       )       )       )
            if bigram not in self.bpe_ranks:
               break
            UpperCAmelCase_						,       UpperCAmelCase_											=bigram
            UpperCAmelCase_											=[]
            UpperCAmelCase_											=0
            while i < len(_lowerCAmelCase       ):
               try:
                  UpperCAmelCase_											=word.index(_lowerCAmelCase		,  _lowerCAmelCase       )
               except ValueError:
                  new_word.extend(word[i:]       )
                  break
               else:
                  new_word.extend(word[i:j]       )
                  UpperCAmelCase_											=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_											=tuple(_lowerCAmelCase       )
            UpperCAmelCase_											=new_word
            if len(_lowerCAmelCase       ) == 1:
               break
            else:
               UpperCAmelCase_											=get_pairs(_lowerCAmelCase       )
         UpperCAmelCase_											=" ".join(_lowerCAmelCase       )
         UpperCAmelCase_											=word
         return word



      def 	lowerCAmelCase__    (	self:						str		,  _lowerCAmelCase:						Optional[int]       )						->    Optional[int]:
         '''simple docstring'''

         UpperCAmelCase_											=[]
         for token in re.findall(self.pat		,  _lowerCAmelCase       ):
            UpperCAmelCase_											="".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 	lowerCAmelCase__    (	self:						Dict		,  _lowerCAmelCase:						str       )						->    Optional[int]:
         '''simple docstring'''

         return self.encoder.get(_lowerCAmelCase		,  self.encoder.get(self.unk_token       )       )



      def 	lowerCAmelCase__    (	self:						Tuple		,  _lowerCAmelCase:						Any       )						->    Any:
         '''simple docstring'''

         return self.decoder.get(_lowerCAmelCase       )



      def 	lowerCAmelCase__    (	self:						List[str]		,  _lowerCAmelCase:						Tuple       )						->    List[str]:
         '''simple docstring'''

         UpperCAmelCase_											="".join(_lowerCAmelCase       )
         UpperCAmelCase_											=bytearray([self.byte_decoder[c] for c in text]       ).decode("utf-8"		,  errors=self.errors       )
         return text



      def 	lowerCAmelCase__    (	self:						Tuple		,  _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
         UpperCAmelCase_											=os.path.join(
             _lowerCAmelCase		,  (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]       )
         UpperCAmelCase_											=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_											=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 _lowerCAmelCase       : 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_											=token_index
               writer.write(" ".join(_lowerCAmelCase       ) + "\n"       )
               index += 1

         return vocab_file, merge_file



      def 	lowerCAmelCase__    (	self:						List[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 	lowerCAmelCase__    (	self:						Tuple		,  _lowerCAmelCase:						List[int]		,  _lowerCAmelCase:						Optional[List[int]] = None		,  _lowerCAmelCase:						bool = False       )						->    List[int]:
         '''simple docstring'''

         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 	lowerCAmelCase__    (	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 	lowerCAmelCase__    (	self:						Optional[int]		,  _lowerCAmelCase:						List[Any]		,  _lowerCAmelCase:						Dict=False		,  **_lowerCAmelCase:						int       )						->    Optional[int]:
         '''simple docstring'''

         UpperCAmelCase_											=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_											=" " + text
         return (text, kwargs)






      def 	lowerCAmelCase__    (	self:						List[str]		,  _lowerCAmelCase:						Union[Dict[str, EncodedInput], BatchEncoding]		,  _lowerCAmelCase:						Optional[int] = None		,  _lowerCAmelCase:						PaddingStrategy = PaddingStrategy.DO_NOT_PAD		,  _lowerCAmelCase:						Optional[int] = None		,  _lowerCAmelCase:						Optional[bool] = None		,  )						->    dict:
         '''simple docstring'''

         UpperCAmelCase_											=super()._pad(
             encoded_inputs=_lowerCAmelCase		,  max_length=_lowerCAmelCase		,  padding_strategy=_lowerCAmelCase		,  pad_to_multiple_of=_lowerCAmelCase		,  return_attention_mask=_lowerCAmelCase		,  )

         # Load from model defaults
         if return_attention_mask is None:
            UpperCAmelCase_											="attention_mask" in self.model_input_names

         if return_attention_mask and "global_attention_mask" in encoded_inputs:
            UpperCAmelCase_											=encoded_inputs[self.model_input_names[0]]
            # `global_attention_mask` need to have the same length as other (sequential) inputs.
            UpperCAmelCase_											=len(encoded_inputs["global_attention_mask"]       ) != len(_lowerCAmelCase       )

            if needs_to_be_padded:
               UpperCAmelCase_											=len(_lowerCAmelCase       ) - len(encoded_inputs["global_attention_mask"]       )

               if self.padding_side == "right":
                  # Use `-1` since `0` in `global_attention_mask` means `local attention` instead of `not to attend`
                  UpperCAmelCase_											=(
                      encoded_inputs["global_attention_mask"] + [-1] * difference
                  )
               elif self.padding_side == "left":
                  UpperCAmelCase_											=[-1] * difference + encoded_inputs[
                      "global_attention_mask"
                  ]
               else:
                  raise ValueError("Invalid padding strategy:" + str(self.padding_side       )       )

         return encoded_inputs











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


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

__lowercase  :   Union[str, Any]						      ={
    """Visual-Attention-Network/van-base""": (
        """https://huggingface.co/Visual-Attention-Network/van-base/blob/main/config.json"""
    ),
}

class      A       (	__lowercase						):
      _snake_case							     ='''van'''



      def __init__(	self:						str		,  _lowerCAmelCase:						List[Any]=224		,  _lowerCAmelCase:						Any=3		,  _lowerCAmelCase:						Tuple=[7, 3, 3, 3]		,  _lowerCAmelCase:						Union[str, Any]=[4, 2, 2, 2]		,  _lowerCAmelCase:						List[str]=[64, 128, 320, 512]		,  _lowerCAmelCase:						Tuple=[3, 3, 12, 3]		,  _lowerCAmelCase:						Union[str, Any]=[8, 8, 4, 4]		,  _lowerCAmelCase:						Any="gelu"		,  _lowerCAmelCase:						Optional[int]=0.02		,  _lowerCAmelCase:						List[str]=1e-6		,  _lowerCAmelCase:						Any=1e-2		,  _lowerCAmelCase:						Any=0.0		,  _lowerCAmelCase:						Optional[Any]=0.0		,  **_lowerCAmelCase:						List[str]		,  )						->    Dict:
         '''simple docstring'''

         super().__init__(**_lowerCAmelCase       )
         UpperCAmelCase_											=image_size
         UpperCAmelCase_											=num_channels
         UpperCAmelCase_											=patch_sizes
         UpperCAmelCase_											=strides
         UpperCAmelCase_											=hidden_sizes
         UpperCAmelCase_											=depths
         UpperCAmelCase_											=mlp_ratios
         UpperCAmelCase_											=hidden_act
         UpperCAmelCase_											=initializer_range
         UpperCAmelCase_											=layer_norm_eps
         UpperCAmelCase_											=layer_scale_init_value
         UpperCAmelCase_											=drop_path_rate
         UpperCAmelCase_											=dropout_rate




