'''simple docstring'''





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


a_							=      logging.get_logger(__name__)


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

# See all LED models at https://huggingface.co/models?filter=LED
a_							=      {
    """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""",
    },
}

a_							=      {
    """allenai/led-base-16384""": 16384,
}




@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def       __lowerCAmelCase      (						)    ->  Optional[int]:
  __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(A_					)
      cs.append(2**8 + n					)
      n += 1
  __UpperCAmelCase						    =       [chr(A_					) for n in cs]
  return dict(zip(A_						,	A_					)					)




def       __lowerCAmelCase      (						A_   : Optional[int]					)    ->  Optional[int]:
  __UpperCAmelCase						    =       set()
  __UpperCAmelCase						    =       word[0]
  for char in word[1:]:
    pairs.add((prev_char, char)					)
    __UpperCAmelCase						    =       char
  return pairs





class 			UpperCAmelCase__    (		snake_case					):



  """simple docstring"""






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






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




    '''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 	_UpperCAmelCase				(				self:			Optional[int]   ) -> Dict:




    '''simple docstring'''




    return len(self.encoder   )






  def 	_UpperCAmelCase				(				self:			int   ) -> int:




    '''simple docstring'''




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






  def 	_UpperCAmelCase				(				self:			Union[str, Any]				,				__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 	_UpperCAmelCase				(				self:			List[Any]				,				__lowerCAmelCase:			Any   ) -> Union[str, Any]:




    '''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 	_UpperCAmelCase				(				self:			Any				,				__lowerCAmelCase:			Optional[int]   ) -> Any:




    '''simple docstring'''




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






  def 	_UpperCAmelCase				(				self:			Optional[int]				,				__lowerCAmelCase:			int   ) -> int:




    '''simple docstring'''




    return self.decoder.get(__lowerCAmelCase   )






  def 	_UpperCAmelCase				(				self:			List[str]				,				__lowerCAmelCase:			Tuple   ) -> List[Any]:




    '''simple docstring'''




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






  def 	_UpperCAmelCase				(				self:			List[str]				,				__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 	_UpperCAmelCase				(				self:			Optional[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 	_UpperCAmelCase				(				self:			int				,				__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 	_UpperCAmelCase				(				self:			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 	_UpperCAmelCase				(				self:			int				,				__lowerCAmelCase:			Optional[Any]				,				__lowerCAmelCase:			Union[str, Any]=False				,				**__lowerCAmelCase:			Tuple   ) -> Optional[Any]:




    '''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 	_UpperCAmelCase				(				self:			int				,				__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 ..utils import DummyObject, requires_backends


class 			UpperCAmelCase__    (		metaclass=snake_case					):



  """simple docstring"""






  lowerCAmelCase__		:	List[str]    		= ['transformers', 'torch', 'note_seq']






  def __init__(				self:			List[str]				,				*__lowerCAmelCase:			Optional[int]				,				**__lowerCAmelCase:			List[Any]   ) -> Optional[int]:




    '''simple docstring'''




    requires_backends(self				,				["transformers", "torch", "note_seq"]   )






  @classmethod
  def 	_UpperCAmelCase				(				cls:			Optional[int]				,				*__lowerCAmelCase:			Any				,				**__lowerCAmelCase:			List[str]   ) -> Dict:




    '''simple docstring'''




    requires_backends(cls				,				["transformers", "torch", "note_seq"]   )






  @classmethod
  def 	_UpperCAmelCase				(				cls:			Union[str, Any]				,				*__lowerCAmelCase:			Optional[Any]				,				**__lowerCAmelCase:			Optional[Any]   ) -> Any:




    '''simple docstring'''




    requires_backends(cls				,				["transformers", "torch", "note_seq"]   )



