
'''simple docstring'''





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


__lowerCAmelCase					:			Dict			      =		logging.get_logger(__name__)

__lowerCAmelCase					:			int			      =		{
    "sayakpaul/vit-msn-base": "https://huggingface.co/sayakpaul/vit-msn-base/resolve/main/config.json",
    # See all ViT MSN models at https://huggingface.co/models?filter=vit_msn
}


class 						__lowerCAmelCase	(	lowerCAmelCase_      ):



      """simple docstring"""







      A__	:			Tuple        =    '''vit_msn'''




      def __init__(      self		:       Union[str, Any]				,       _snake_case		:       Dict=768				,       _snake_case		:       List[str]=12				,       _snake_case		:       str=12				,       _snake_case		:       Dict=3072				,       _snake_case		:       str="gelu"				,       _snake_case		:       List[Any]=0.0				,       _snake_case		:       Optional[Any]=0.0				,       _snake_case		:       Dict=0.02				,       _snake_case		:       Dict=1E-0_6				,       _snake_case		:       List[Any]=224				,       _snake_case		:       List[str]=16				,       _snake_case		:       Union[str, Any]=3				,       _snake_case		:       Any=True				,       **_snake_case		:       Union[str, Any]				,       ):
          super().__init__(**_snake_case				)

          __lowercase		:			Tuple	    =       hidden_size
          __lowercase		:			List[str]	    =       num_hidden_layers
          __lowercase		:			Union[str, Any]	    =       num_attention_heads
          __lowercase		:			Union[str, Any]	    =       intermediate_size
          __lowercase		:			Union[str, Any]	    =       hidden_act
          __lowercase		:			str	    =       hidden_dropout_prob
          __lowercase		:			Union[str, Any]	    =       attention_probs_dropout_prob
          __lowercase		:			Optional[int]	    =       initializer_range
          __lowercase		:			str	    =       layer_norm_eps
          __lowercase		:			Union[str, Any]	    =       image_size
          __lowercase		:			Tuple	    =       patch_size
          __lowercase		:			Any	    =       num_channels
          __lowercase		:			List[str]	    =       qkv_bias




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


__lowerCAmelCase					:			Tuple			      =		logging.get_logger(__name__)


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

# See all LED models at https://huggingface.co/models?filter=LED
__lowerCAmelCase					:			List[Any]			      =		{
    "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",
    },
}

__lowerCAmelCase					:			List[Any]			      =		{
    "allenai/led-base-16384": 16_384,
}


@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def     UpperCAmelCase_  (						) ->						List[Any]:
    __lowercase		:			Union[str, Any]	    =       (
        list(range(ord('''!'''	)	,					ord('''~'''	) + 1	)	) + list(range(ord('''¡'''	)	,					ord('''¬'''	) + 1	)	) + list(range(ord('''®'''	)	,					ord('''ÿ'''	) + 1	)	)
    )
    __lowercase		:			Any	    =       bs[:]
    __lowercase		:			Union[str, Any]	    =       0
    for b in range(2**8	):
        if b not in bs:
            bs.append(__lowerCAmelCase	)
            cs.append(2**8 + n	)
            n += 1
    __lowercase		:			List[str]	    =       [chr(__lowerCAmelCase	) for n in cs]
    return dict(zip(__lowerCAmelCase	,					__lowerCAmelCase	)	)


def     UpperCAmelCase_  (						__lowerCAmelCase	) ->						List[str]:
    __lowercase		:			Optional[int]	    =       set()
    __lowercase		:			Dict	    =       word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)	)
        __lowercase		:			List[Any]	    =       char
    return pairs





class 						__lowerCAmelCase	(	lowerCAmelCase_      ):



      """simple docstring"""







      A__	:			str        =    VOCAB_FILES_NAMES
      A__	:			Any        =    PRETRAINED_VOCAB_FILES_MAP
      A__	:			int        =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      A__	:			Union[str, Any]        =    ['''input_ids''', '''attention_mask''']




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

          # Mask token behave like a normal word, i.e. include the space before it
          __lowercase		:			Any	    =       AddedToken(_snake_case				,       lstrip=_snake_case				,       rstrip=_snake_case				) if isinstance(_snake_case				,       _snake_case				) else mask_token

          super().__init__(
              errors=_snake_case				,       bos_token=_snake_case				,       eos_token=_snake_case				,       unk_token=_snake_case				,       sep_token=_snake_case				,       cls_token=_snake_case				,       pad_token=_snake_case				,       mask_token=_snake_case				,       add_prefix_space=_snake_case				,       **_snake_case				,       )

          with open(_snake_case				,       encoding='''utf-8'''				) as vocab_handle:
              __lowercase		:			List[str]	    =       json.load(_snake_case				)
          __lowercase		:			Optional[Any]	    =       {v: k for k, v in self.encoder.items()}
          __lowercase		:			Dict	    =       errors  # how to handle errors in decoding
          __lowercase		:			str	    =       bytes_to_unicode()
          __lowercase		:			Dict	    =       {v: k for k, v in self.byte_encoder.items()}
          with open(_snake_case				,       encoding='''utf-8'''				) as merges_handle:
              __lowercase		:			Any	    =       merges_handle.read().split('''\n'''				)[1:-1]
          __lowercase		:			Tuple	    =       [tuple(merge.split()				) for merge in bpe_merges]
          __lowercase		:			Dict	    =       dict(zip(_snake_case				,       range(len(_snake_case				)				)				)				)
          __lowercase		:			Dict	    =       {}
          __lowercase		:			str	    =       add_prefix_space

          # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
          __lowercase		:			str	    =       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 		snake_case_			(      self		:       Dict				):
          return len(self.encoder				)




      def 		snake_case_			(      self		:       List[str]				):
          return dict(self.encoder				,       **self.added_tokens_encoder				)




      def 		snake_case_			(      self		:       Tuple				,       _snake_case		:       str				):
          if token in self.cache:
              return self.cache[token]
          __lowercase		:			Optional[Any]	    =       tuple(_snake_case				)
          __lowercase		:			str	    =       get_pairs(_snake_case				)

          if not pairs:
              return token

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

                  if word[i] == first and i < len(_snake_case				) - 1 and word[i + 1] == second:
                      new_word.append(first + second				)
                      i += 2
                  else:
                      new_word.append(word[i]				)
                      i += 1
              __lowercase		:			str	    =       tuple(_snake_case				)
              __lowercase		:			Tuple	    =       new_word
              if len(_snake_case				) == 1:
                  break
              else:
                  __lowercase		:			Any	    =       get_pairs(_snake_case				)
          __lowercase		:			Union[str, Any]	    =       ''' '''.join(_snake_case				)
          __lowercase		:			Union[str, Any]	    =       word
          return word




      def 		snake_case_			(      self		:       Tuple				,       _snake_case		:       List[Any]				):
          __lowercase		:			Optional[int]	    =       []
          for token in re.findall(self.pat				,       _snake_case				):
              __lowercase		:			Dict	    =       ''''''.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(_snake_case				).split(''' '''				)				)
          return bpe_tokens




      def 		snake_case_			(      self		:       Union[str, Any]				,       _snake_case		:       List[Any]				):
          return self.encoder.get(_snake_case				,       self.encoder.get(self.unk_token				)				)




      def 		snake_case_			(      self		:       Dict				,       _snake_case		:       List[Any]				):
          return self.decoder.get(_snake_case				)




      def 		snake_case_			(      self		:       int				,       _snake_case		:       Dict				):
          __lowercase		:			List[Any]	    =       ''''''.join(_snake_case				)
          __lowercase		:			Any	    =       bytearray([self.byte_decoder[c] for c in text]				).decode('''utf-8'''				,       errors=self.errors				)
          return text




      def 		snake_case_			(      self		:       Optional[Any]				,       _snake_case		:       str				,       _snake_case		:       Optional[str] = None				):
          if not os.path.isdir(_snake_case				):
              logger.error(F'Vocabulary path ({save_directory}) should be a directory'				)
              return
          __lowercase		:			Union[str, Any]	    =       os.path.join(
              _snake_case				,       (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']				)
          __lowercase		:			str	    =       os.path.join(
              _snake_case				,       (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']				)

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

          __lowercase		:			List[str]	    =       0
          with open(_snake_case				,       '''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 _snake_case				: 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!'''				)
                      __lowercase		:			List[str]	    =       token_index
                  writer.write(''' '''.join(_snake_case				) + '''\n'''				)
                  index += 1

          return vocab_file, merge_file




      def 		snake_case_			(      self		:       Dict				,       _snake_case		:       List[int]				,       _snake_case		:       Optional[List[int]] = None				):
          if token_ids_a is None:
              return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
          __lowercase		:			int	    =       [self.cls_token_id]
          __lowercase		:			int	    =       [self.sep_token_id]
          return cls + token_ids_a + sep + sep + token_ids_a + sep




      def 		snake_case_			(      self		:       List[Any]				,       _snake_case		:       List[int]				,       _snake_case		:       Optional[List[int]] = None				,       _snake_case		:       bool = False				):
          if already_has_special_tokens:
              return super().get_special_tokens_mask(
                  token_ids_a=_snake_case				,       token_ids_a=_snake_case				,       already_has_special_tokens=_snake_case				)

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




      def 		snake_case_			(      self		:       Union[str, Any]				,       _snake_case		:       List[int]				,       _snake_case		:       Optional[List[int]] = None				):
          __lowercase		:			Dict	    =       [self.sep_token_id]
          __lowercase		:			List[str]	    =       [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		:       List[str]				,       _snake_case		:       Union[str, Any]				,       _snake_case		:       Optional[int]=False				,       **_snake_case		:       List[Any]				):
          __lowercase		:			int	    =       kwargs.pop('''add_prefix_space'''				,       self.add_prefix_space				)
          if (is_split_into_words or add_prefix_space) and (len(_snake_case				) > 0 and not text[0].isspace()):
              __lowercase		:			Optional[Any]	    =       ''' ''' + text
          return (text, kwargs)




      def 		snake_case_			(      self		:       Tuple				,       _snake_case		:       Union[Dict[str, EncodedInput], BatchEncoding]				,       _snake_case		:       Optional[int] = None				,       _snake_case		:       PaddingStrategy = PaddingStrategy.DO_NOT_PAD				,       _snake_case		:       Optional[int] = None				,       _snake_case		:       Optional[bool] = None				,       ):
          __lowercase		:			Optional[Any]	    =       super()._pad(
              encoded_inputs=_snake_case				,       max_length=_snake_case				,       padding_strategy=_snake_case				,       pad_to_multiple_of=_snake_case				,       return_attention_mask=_snake_case				,       )

          # Load from model defaults
          if return_attention_mask is None:
              __lowercase		:			List[str]	    =       '''attention_mask''' in self.model_input_names

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

              if needs_to_be_padded:
                  __lowercase		:			List[Any]	    =       len(_snake_case				) - 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`
                      __lowercase		:			Union[str, Any]	    =       (
                          encoded_inputs['''global_attention_mask'''] + [-1] * difference
                      )
                  elif self.padding_side == "left":
                      __lowercase		:			Union[str, Any]	    =       [-1] * difference + encoded_inputs[
                          '''global_attention_mask'''
                      ]
                  else:
                      raise ValueError('''Invalid padding strategy:''' + str(self.padding_side				)				)

          return encoded_inputs


