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


_SCREAMING_SNAKE_CASE     =     logging.get_logger(__name__)

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

_SCREAMING_SNAKE_CASE     =     {
    'vocab_file': {
        'roberta-base': 'https://huggingface.co/roberta-base/resolve/main/vocab.json',
        'roberta-large': 'https://huggingface.co/roberta-large/resolve/main/vocab.json',
        'roberta-large-mnli': 'https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json',
        'distilroberta-base': 'https://huggingface.co/distilroberta-base/resolve/main/vocab.json',
        'roberta-base-openai-detector': 'https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json',
        'roberta-large-openai-detector': (
            'https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json'
        ),
    },
    'merges_file': {
        'roberta-base': 'https://huggingface.co/roberta-base/resolve/main/merges.txt',
        'roberta-large': 'https://huggingface.co/roberta-large/resolve/main/merges.txt',
        'roberta-large-mnli': 'https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt',
        'distilroberta-base': 'https://huggingface.co/distilroberta-base/resolve/main/merges.txt',
        'roberta-base-openai-detector': 'https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt',
        'roberta-large-openai-detector': (
            'https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt'
        ),
    },
}

_SCREAMING_SNAKE_CASE     =     {
    'roberta-base': 512,
    'roberta-large': 512,
    'roberta-large-mnli': 512,
    'distilroberta-base': 512,
    'roberta-base-openai-detector': 512,
    'roberta-large-openai-detector': 512,
}
@lru_cache()
def 					__lowercase						(    )					->Optional[Any]:

  '''simple docstring'''




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

  '''simple docstring'''




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







class        UpperCAmelCase_					(				_a     ):
    UpperCAmelCase_      :							str    			=				VOCAB_FILES_NAMES
    UpperCAmelCase_      :							Union[str, Any]    			=				PRETRAINED_VOCAB_FILES_MAP
    UpperCAmelCase_      :							Optional[int]    			=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    UpperCAmelCase_      :							Any    			=				['input_ids', 'attention_mask']




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

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

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

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

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




    @property
    def     __lowerCamelCase			(       self	: int )						->			Tuple:
      return len(self.encoder )




    def     __lowerCamelCase			(       self	: List[str] )						->			Optional[Any]:
      return dict(self.encoder   ,   **self.added_tokens_encoder )




    def     __lowerCamelCase			(       self	: int   ,   lowerCAmelCase	: Optional[int] )						->			Any:
      if token in self.cache:
        return self.cache[token]
      a__  		=  tuple(_A )
      a__  		=  get_pairs(_A )

      if not pairs:
        return token

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

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




    def     __lowerCamelCase			(       self	: Any   ,   lowerCAmelCase	: Dict )						->			Optional[Any]:
      a__  		=  []
      for token in re.findall(self.pat   ,   _A ):
        a__  		=  "".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(_A ).split(" " ) )
      return bpe_tokens




    def     __lowerCamelCase			(       self	: Any   ,   lowerCAmelCase	: Tuple )						->			Dict:
      return self.encoder.get(_A   ,   self.encoder.get(self.unk_token ) )




    def     __lowerCamelCase			(       self	: str   ,   lowerCAmelCase	: List[str] )						->			Optional[Any]:
      return self.decoder.get(_A )




    def     __lowerCamelCase			(       self	: Any   ,   lowerCAmelCase	: List[str] )						->			Optional[Any]:
      a__  		=  "".join(_A )
      a__  		=  bytearray([self.byte_decoder[c] for c in text] ).decode("utf-8"   ,   errors=self.errors )
      return text




    def     __lowerCamelCase			(       self	: Dict   ,   lowerCAmelCase	: str   ,   lowerCAmelCase	: Optional[str] = None )						->			Optional[int]:
      if not os.path.isdir(_A ):
        logger.error(f"Vocabulary path ({save_directory}) should be a directory" )
        return
      a__  		=  os.path.join(
          _A   ,   (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"] )
      a__  		=  os.path.join(
          _A   ,   (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"] )

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

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

      return vocab_file, merge_file




    def     __lowerCamelCase			(       self	: Dict   ,   lowerCAmelCase	: List[int]   ,   lowerCAmelCase	: Optional[List[int]] = None )						->			Any:
      if token_ids_a is None:
        return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
      a__  		=  [self.cls_token_id]
      a__  		=  [self.sep_token_id]
      return cls + token_ids_a + sep + sep + token_ids_a + sep




    def     __lowerCamelCase			(       self	: Union[str, Any]   ,   lowerCAmelCase	: List[int]   ,   lowerCAmelCase	: Optional[List[int]] = None   ,   lowerCAmelCase	: bool = False )						->			Optional[int]:
      if already_has_special_tokens:
        return super().get_special_tokens_mask(
            token_ids_a=_A   ,   token_ids_a=_A   ,   already_has_special_tokens=_A )

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




    def     __lowerCamelCase			(       self	: List[Any]   ,   lowerCAmelCase	: List[int]   ,   lowerCAmelCase	: Optional[List[int]] = None )						->			List[str]:
      a__  		=  [self.sep_token_id]
      a__  		=  [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	: Union[str, Any]   ,   lowerCAmelCase	: Dict   ,   lowerCAmelCase	: Any=False   ,   **lowerCAmelCase	: Optional[int] )						->			Tuple:
      a__  		=  kwargs.pop("add_prefix_space"   ,   self.add_prefix_space )
      if (is_split_into_words or add_prefix_space) and (len(_A ) > 0 and not text[0].isspace()):
        a__  		=  " " + text
      return (text, kwargs)






class 				lowerCAmelCase__	:







					def __init__(							self   :  Union[str, Any]):
											A__						:				Optional[int]         =			[0]
											A__						:				Any         =			0







					def 			_lowercase      (							self   :  Optional[int]      ,		_A   :  int):
											A__						:				Optional[Any]         =			self.__heap[i]
											while i // 2 > 0:
																	if self.__heap[i] > self.__heap[i // 2]:
																							A__						:				Union[str, Any]         =			self.__heap[i // 2]
																							A__						:				List[str]         =			temporary
																	i //= 2







					def 			_lowercase      (							self   :  Union[str, Any]      ,		_A   :  int):
											self.__heap.append(_A)
											self.__size += 1
											self.__swap_up(self.__size)







					def 			_lowercase      (							self   :  Any      ,		_A   :  int):
											while self.__size >= 2 * i:
																	if 2 * i + 1 > self.__size:
																							A__						:				str         =			2 * i
																	else:
																							if self.__heap[2 * i] > self.__heap[2 * i + 1]:
																													A__						:				Tuple         =			2 * i
																							else:
																													A__						:				Tuple         =			2 * i + 1
																	A__						:				Any         =			self.__heap[i]
																	if self.__heap[i] < self.__heap[bigger_child]:
																							A__						:				List[str]         =			self.__heap[bigger_child]
																							A__						:				Tuple         =			temporary
																	A__						:				Tuple         =			bigger_child







					def 			_lowercase      (							self   :  int):
											A__						:				str         =			self.__heap[1]
											A__						:				Tuple         =			self.__heap[self.__size]
											self.__size -= 1
											self.__heap.pop()
											self.__swap_down(1)
											return max_value







					@property
					def 			_lowercase      (							self   :  Any):
											return self.__heap[1:]







					def __len__(							self   :  Union[str, Any]):
											return self.__size


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		# create an instance of BinaryHeap
		snake_case     :    List[Any]						=    BinaryHeap()
		binary_heap.insert(6)
		binary_heap.insert(1_0)
		binary_heap.insert(1_5)
		binary_heap.insert(1_2)
		# pop root(max-values because it is max heap)
		print(binary_heap.pop())  # 15
		print(binary_heap.pop())  # 12
		# get the list and size after operations
		print(binary_heap.get_list)
		print(len(binary_heap))