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			: Union[str, Any]							   =		logging.get_logger(__name__)


__lowerCamelCase			: str							   =		{'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt'''}

# See all LED models at https://huggingface.co/models?filter=LED
__lowerCamelCase			: Union[str, 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''': 1_6384,
}



@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def 	__SCREAMING_SNAKE_CASE  (					)							->					Tuple:







  """simple docstring"""





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



def 	__SCREAMING_SNAKE_CASE  (					__UpperCamelCase    :       Union[str, Any]	)							->					Tuple:







  """simple docstring"""





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







class __snake_case				(						__UpperCAmelCase		):
   lowerCAmelCase_														=							VOCAB_FILES_NAMES
   lowerCAmelCase_														=							PRETRAINED_VOCAB_FILES_MAP
   lowerCAmelCase_														=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   lowerCAmelCase_														=							["input_ids", "attention_mask"]




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



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      AddedToken(UpperCamelCase__       ,	lstrip=UpperCamelCase__       ,	rstrip=UpperCamelCase__      ) if isinstance(UpperCamelCase__       ,	UpperCamelCase__      ) else bos_token
     SCREAMING_SNAKE_CASE__										=      AddedToken(UpperCamelCase__       ,	lstrip=UpperCamelCase__       ,	rstrip=UpperCamelCase__      ) if isinstance(UpperCamelCase__       ,	UpperCamelCase__      ) else eos_token
     SCREAMING_SNAKE_CASE__										=      AddedToken(UpperCamelCase__       ,	lstrip=UpperCamelCase__       ,	rstrip=UpperCamelCase__      ) if isinstance(UpperCamelCase__       ,	UpperCamelCase__      ) else sep_token
     SCREAMING_SNAKE_CASE__										=      AddedToken(UpperCamelCase__       ,	lstrip=UpperCamelCase__       ,	rstrip=UpperCamelCase__      ) if isinstance(UpperCamelCase__       ,	UpperCamelCase__      ) else cls_token
     SCREAMING_SNAKE_CASE__										=      AddedToken(UpperCamelCase__       ,	lstrip=UpperCamelCase__       ,	rstrip=UpperCamelCase__      ) if isinstance(UpperCamelCase__       ,	UpperCamelCase__      ) else unk_token
     SCREAMING_SNAKE_CASE__										=      AddedToken(UpperCamelCase__       ,	lstrip=UpperCamelCase__       ,	rstrip=UpperCamelCase__      ) if isinstance(UpperCamelCase__       ,	UpperCamelCase__      ) else pad_token

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

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

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

     # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
     SCREAMING_SNAKE_CASE__										=      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 	__a						(    self			:				Optional[Any]      ):



     """simple docstring"""






     return len(self.encoder      )




   def 	__a						(    self			:				Tuple      ):



     """simple docstring"""






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




   def 	__a						(    self			:				List[Any]       ,	_lowercase			:				List[Any]      ):



     """simple docstring"""






     if token in self.cache:
       return self.cache[token]
     SCREAMING_SNAKE_CASE__										=      tuple(UpperCamelCase__      )
     SCREAMING_SNAKE_CASE__										=      get_pairs(UpperCamelCase__      )

     if not pairs:
       return token

     while True:
       SCREAMING_SNAKE_CASE__										=      min(UpperCamelCase__       ,	key=lambda _lowercase      : self.bpe_ranks.get(UpperCamelCase__       ,	float("""inf"""      )      )      )
       if bigram not in self.bpe_ranks:
         break
       SCREAMING_SNAKE_CASE__							,     SCREAMING_SNAKE_CASE__										=      bigram
       SCREAMING_SNAKE_CASE__										=      []
       SCREAMING_SNAKE_CASE__										=      0
       while i < len(UpperCamelCase__      ):
         try:
           SCREAMING_SNAKE_CASE__										=      word.index(UpperCamelCase__       ,	UpperCamelCase__      )
         except ValueError:
           new_word.extend(word[i:]      )
           break
         else:
           new_word.extend(word[i:j]      )
           SCREAMING_SNAKE_CASE__										=      j

         if word[i] == first and i < len(UpperCamelCase__      ) - 1 and word[i + 1] == second:
           new_word.append(first + second      )
           i += 2
         else:
           new_word.append(word[i]      )
           i += 1
       SCREAMING_SNAKE_CASE__										=      tuple(UpperCamelCase__      )
       SCREAMING_SNAKE_CASE__										=      new_word
       if len(UpperCamelCase__      ) == 1:
         break
       else:
         SCREAMING_SNAKE_CASE__										=      get_pairs(UpperCamelCase__      )
     SCREAMING_SNAKE_CASE__										=      """ """.join(UpperCamelCase__      )
     SCREAMING_SNAKE_CASE__										=      word
     return word




   def 	__a						(    self			:				Dict       ,	_lowercase			:				List[Any]      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      []
     for token in re.findall(self.pat       ,	UpperCamelCase__      ):
       SCREAMING_SNAKE_CASE__										=      """""".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(UpperCamelCase__      ).split(""" """      )      )
     return bpe_tokens




   def 	__a						(    self			:				List[str]       ,	_lowercase			:				str      ):



     """simple docstring"""






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




   def 	__a						(    self			:				Optional[Any]       ,	_lowercase			:				Tuple      ):



     """simple docstring"""






     return self.decoder.get(UpperCamelCase__      )




   def 	__a						(    self			:				Optional[Any]       ,	_lowercase			:				int      ):



     """simple docstring"""






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




   def 	__a						(    self			:				str       ,	_lowercase			:				List[Any]       ,	_lowercase			:				List[str] = None      ):



     """simple docstring"""






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

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

     SCREAMING_SNAKE_CASE__										=      0
     with open(UpperCamelCase__       ,	"""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!"""      )
           SCREAMING_SNAKE_CASE__										=      token_index
         writer.write(""" """.join(UpperCamelCase__      ) + """\n"""      )
         index += 1

     return vocab_file, merge_file




   def 	__a						(    self			:				List[Any]       ,	_lowercase			:				int       ,	_lowercase			:				Optional[Any] = None      ):



     """simple docstring"""






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




   def 	__a						(    self			:				int       ,	_lowercase			:				Optional[int]       ,	_lowercase			:				Union[str, Any] = None       ,	_lowercase			:				Optional[Any] = False      ):



     """simple docstring"""






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

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




   def 	__a						(    self			:				Optional[Any]       ,	_lowercase			:				Optional[int]       ,	_lowercase			:				List[str] = None      ):



     """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 + sep + token_ids_a + sep      ) * [0]




   def 	__a						(    self			:				str       ,	_lowercase			:				Union[str, Any]       ,	_lowercase			:				Optional[int]=False       ,	**_lowercase			:				Union[str, Any]      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      kwargs.pop("""add_prefix_space"""       ,	self.add_prefix_space      )
     if (is_split_into_words or add_prefix_space) and (len(UpperCamelCase__      ) > 0 and not text[0].isspace()):
       SCREAMING_SNAKE_CASE__										=      """ """ + text
     return (text, kwargs)




   def 	__a						(    self			:				Union[str, Any]       ,	_lowercase			:				Optional[int]       ,	_lowercase			:				Any = None       ,	_lowercase			:				int = PaddingStrategy.DO_NOT_PAD       ,	_lowercase			:				Tuple = None       ,	_lowercase			:				str = None       ,	):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      super()._pad(
         encoded_inputs=UpperCamelCase__       ,	max_length=UpperCamelCase__       ,	padding_strategy=UpperCamelCase__       ,	pad_to_multiple_of=UpperCamelCase__       ,	return_attention_mask=UpperCamelCase__       ,	)

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

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

       if needs_to_be_padded:
         SCREAMING_SNAKE_CASE__										=      len(UpperCamelCase__      ) - 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`
           SCREAMING_SNAKE_CASE__										=      (
               encoded_inputs["""global_attention_mask"""] + [-1] * difference
           )
         elif self.padding_side == "left":
           SCREAMING_SNAKE_CASE__										=      [-1] * difference + encoded_inputs[
               """global_attention_mask"""
           ]
         else:
           raise ValueError("""Invalid padding strategy:""" + str(self.padding_side      )      )

     return encoded_inputs






from typing import Dict, List, Optional

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


_A     =			logging.get_logger(__name__)


_A     =			{
    '''nielsr/canine-s''': 2_048,
}

# Unicode defines 1,114,112 total “codepoints”
_A     =			1_114_112

# Below: Constants defining canonical codepoints for special, pseudo-characters.
# Copied from https://github.com/google-research/language/blob/master/language/canine/special_codepoints.py
_A     =			0

_A     =			0xe0_00
_A     =			0xe0_01
_A     =			0xe0_02
_A     =			0xe0_03
_A     =			0xe0_04

# Maps special codepoints to human-readable names.
_A     =			{
    # Special symbols are represented using codepoints values that are valid,
    # but designated as "Private Use", meaning that they will never be assigned
    # characters by the Unicode Consortium, and are thus safe for use here.
    #
    # NOTE: Do *NOT* add any sort of [UNK_CHAR] here. They are explicitly
    # excluded and should fail with a hard error.
    CLS: "[CLS]",
    SEP: "[SEP]",
    BOS: "[BOS]",
    MASK: "[MASK]",
    PAD: "[PAD]",
    RESERVED: "[RESERVED]",
}

# Maps special codepoint human-readable names to their codepoint values.
_A     =			{name: codepoint for codepoint, name in SPECIAL_CODEPOINTS.items()}


class  A		(  __UpperCAmelCase     ):
		__snake_case									=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES



		def __init__(     self,	UpperCamelCase__=chr(UpperCamelCase__   ),	UpperCamelCase__=chr(UpperCamelCase__   ),	UpperCamelCase__=chr(UpperCamelCase__   ),	UpperCamelCase__=chr(UpperCamelCase__   ),	UpperCamelCase__=chr(UpperCamelCase__   ),	UpperCamelCase__=chr(UpperCamelCase__   ),	UpperCamelCase__=False,	UpperCamelCase__=2048,	**UpperCamelCase__,	):







								"""simple docstring"""



								lowerCAmelCase_      			=  AddedToken(UpperCamelCase__,	lstrip=UpperCamelCase__,	rstrip=UpperCamelCase__   ) if isinstance(UpperCamelCase__,	UpperCamelCase__   ) else bos_token
								lowerCAmelCase_      			=  AddedToken(UpperCamelCase__,	lstrip=UpperCamelCase__,	rstrip=UpperCamelCase__   ) if isinstance(UpperCamelCase__,	UpperCamelCase__   ) else eos_token
								lowerCAmelCase_      			=  AddedToken(UpperCamelCase__,	lstrip=UpperCamelCase__,	rstrip=UpperCamelCase__   ) if isinstance(UpperCamelCase__,	UpperCamelCase__   ) else sep_token
								lowerCAmelCase_      			=  AddedToken(UpperCamelCase__,	lstrip=UpperCamelCase__,	rstrip=UpperCamelCase__   ) if isinstance(UpperCamelCase__,	UpperCamelCase__   ) else cls_token
								lowerCAmelCase_      			=  AddedToken(UpperCamelCase__,	lstrip=UpperCamelCase__,	rstrip=UpperCamelCase__   ) if isinstance(UpperCamelCase__,	UpperCamelCase__   ) else pad_token

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

								super().__init__(
								    bos_token=UpperCamelCase__,	eos_token=UpperCamelCase__,	sep_token=UpperCamelCase__,	cls_token=UpperCamelCase__,	pad_token=UpperCamelCase__,	mask_token=UpperCamelCase__,	add_prefix_space=UpperCamelCase__,	model_max_length=UpperCamelCase__,	**UpperCamelCase__,	)

								# Creates a mapping for looking up the IDs of special symbols.
								lowerCAmelCase_      			=  {}
								for codepoint, name in SPECIAL_CODEPOINTS.items():
														lowerCAmelCase_      			=  codepoint

								# Creates a mapping for looking up the string forms of special symbol IDs.
								lowerCAmelCase_      			=  {
								    codepoint: name for name, codepoint in self._special_codepoints.items()
								}

								lowerCAmelCase_      			=  UNICODE_VOCAB_SIZE
								lowerCAmelCase_      			=  len(self._special_codepoints   )



		@property
		def        SCREAMING_SNAKE_CASE__			(     self   ):







								"""simple docstring"""



								return self._unicode_vocab_size



		def        SCREAMING_SNAKE_CASE__			(     self,	UpperCamelCase__   ):







								"""simple docstring"""



								return list(UpperCamelCase__   )



		def        SCREAMING_SNAKE_CASE__			(     self,	UpperCamelCase__   ):







								"""simple docstring"""



								try:
														return ord(UpperCamelCase__   )
								except TypeError:
														raise ValueError(f"invalid token: '{token}'"   )



		def        SCREAMING_SNAKE_CASE__			(     self,	UpperCamelCase__   ):







								"""simple docstring"""



								try:
														if index in SPECIAL_CODEPOINTS:
																				return SPECIAL_CODEPOINTS[index]
														return chr(UpperCamelCase__   )
								except TypeError:
														raise ValueError(f"invalid id: {index}"   )



		def        SCREAMING_SNAKE_CASE__			(     self,	UpperCamelCase__   ):







								"""simple docstring"""



								return "".join(UpperCamelCase__   )



		def        SCREAMING_SNAKE_CASE__			(     self,	UpperCamelCase__,	UpperCamelCase__ = None   ):







								"""simple docstring"""



								lowerCAmelCase_      			=  [self.sep_token_id]
								lowerCAmelCase_      			=  [self.cls_token_id]

								lowerCAmelCase_      			=  cls + token_ids_a + sep
								if token_ids_a is not None:
														result += token_ids_a + sep
								return result



		def        SCREAMING_SNAKE_CASE__			(     self,	UpperCamelCase__,	UpperCamelCase__ = None,	UpperCamelCase__ = False   ):







								"""simple docstring"""



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

								lowerCAmelCase_      			=  [1] + ([0] * len(UpperCamelCase__   )) + [1]
								if token_ids_a is not None:
														result += ([0] * len(UpperCamelCase__   )) + [1]
								return result



		def        SCREAMING_SNAKE_CASE__			(     self,	UpperCamelCase__,	UpperCamelCase__ = None   ):







								"""simple docstring"""



								lowerCAmelCase_      			=  [self.sep_token_id]
								lowerCAmelCase_      			=  [self.cls_token_id]

								lowerCAmelCase_      			=  len(cls + token_ids_a + sep   ) * [0]
								if token_ids_a is not None:
														result += len(token_ids_a + sep   ) * [1]
								return result







		def        SCREAMING_SNAKE_CASE__			(     self,	UpperCamelCase__,	UpperCamelCase__ = None   ):







								"""simple docstring"""



								return ()




