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__		:					Optional[Any]						=					logging.get_logger(__name__)


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

# See all BART models at https://huggingface.co/models?filter=bart
SCREAMING_SNAKE_CASE__		:					List[str]						=					{
    "vocab_file": {
        "facebook/bart-base": "https://huggingface.co/facebook/bart-base/resolve/main/vocab.json",
        "facebook/bart-large": "https://huggingface.co/facebook/bart-large/resolve/main/vocab.json",
        "facebook/bart-large-mnli": "https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json",
        "facebook/bart-large-cnn": "https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json",
        "facebook/bart-large-xsum": "https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json",
        "yjernite/bart_eli5": "https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json",
    },
    "merges_file": {
        "facebook/bart-base": "https://huggingface.co/facebook/bart-base/resolve/main/merges.txt",
        "facebook/bart-large": "https://huggingface.co/facebook/bart-large/resolve/main/merges.txt",
        "facebook/bart-large-mnli": "https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt",
        "facebook/bart-large-cnn": "https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt",
        "facebook/bart-large-xsum": "https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt",
        "yjernite/bart_eli5": "https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt",
    },
}

SCREAMING_SNAKE_CASE__		:					Dict						=					{
    "facebook/bart-base": 1024,
    "facebook/bart-large": 1024,
    "facebook/bart-large-mnli": 1024,
    "facebook/bart-large-cnn": 1024,
    "facebook/bart-large-xsum": 1024,
    "yjernite/bart_eli5": 1024,
}







@lru_cache()
def     _a				(      ):







     '''simple docstring'''


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







def     _a				(      lowercase__  :			int ):







     '''simple docstring'''


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







class       snake_case					(      UpperCamelCase_						):
  lowercase_			=     VOCAB_FILES_NAMES
  lowercase_			=     PRETRAINED_VOCAB_FILES_MAP
  lowercase_			=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  lowercase_			=     ['input_ids', 'attention_mask']




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




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

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




  @property
  def 	__lowercase(      self     :	Optional[Any]				)->       int:




       """simple docstring"""
       return len(self.encoder				)




  def 	__lowercase(      self     :	Optional[int]				)->       Tuple:




       """simple docstring"""
       return dict(self.encoder     , **self.added_tokens_encoder				)




  def 	__lowercase(      self     :	str     , a_     :	int				)->       Any:




       """simple docstring"""
       if token in self.cache:
            return self.cache[token]
       SCREAMING_SNAKE_CASE__				:				str			=		tuple(a_				)
       SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		get_pairs(a_				)

       if not pairs:
            return token

       while True:
            SCREAMING_SNAKE_CASE__				:				List[str]			=		min(a_     , key=lambda a_				: self.bpe_ranks.get(a_     , float('inf'				)				)				)
            if bigram not in self.bpe_ranks:
                 break
            SCREAMING_SNAKE_CASE__			,							SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		bigram
            SCREAMING_SNAKE_CASE__				:				List[str]			=		[]
            SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		0
            while i < len(a_				):
                 try:
                      SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		word.index(a_     , a_				)
                 except ValueError:
                      new_word.extend(word[i:]				)
                      break
                 else:
                      new_word.extend(word[i:j]				)
                      SCREAMING_SNAKE_CASE__				:				str			=		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
            SCREAMING_SNAKE_CASE__				:				Tuple			=		tuple(a_				)
            SCREAMING_SNAKE_CASE__				:				Any			=		new_word
            if len(a_				) == 1:
                 break
            else:
                 SCREAMING_SNAKE_CASE__				:				str			=		get_pairs(a_				)
       SCREAMING_SNAKE_CASE__				:				str			=		' '.join(a_				)
       SCREAMING_SNAKE_CASE__				:				Any			=		word
       return word




  def 	__lowercase(      self     :	Optional[int]     , a_     :	str				)->       int:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				Optional[int]			=		[]
       for token in re.findall(self.pat     , a_				):
            SCREAMING_SNAKE_CASE__				:				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(a_				).split(' '				)				)
       return bpe_tokens




  def 	__lowercase(      self     :	List[Any]     , a_     :	Any				)->       Union[str, Any]:




       """simple docstring"""
       return self.encoder.get(a_     , self.encoder.get(self.unk_token				)				)




  def 	__lowercase(      self     :	List[str]     , a_     :	Dict				)->       Optional[Any]:




       """simple docstring"""
       return self.decoder.get(a_				)




  def 	__lowercase(      self     :	List[str]     , a_     :	Optional[int]				)->       List[Any]:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				Optional[int]			=		''.join(a_				)
       SCREAMING_SNAKE_CASE__				:				Dict			=		bytearray([self.byte_decoder[c] for c in text]				).decode('utf-8'     , errors=self.errors				)
       return text




  def 	__lowercase(      self     :	Any     , a_     :	str     , a_     :	Optional[str] = None				)->       Tuple[str]:




       """simple docstring"""
       if not os.path.isdir(a_				):
            logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''				)
            return
       SCREAMING_SNAKE_CASE__				:				Dict			=		os.path.join(
           a_     , (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']				)
       SCREAMING_SNAKE_CASE__				:				int			=		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'				)

       SCREAMING_SNAKE_CASE__				:				List[Any]			=		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 a_				: 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__				:				Tuple			=		token_index
                 writer.write(' '.join(a_				) + '\n'				)
                 index += 1

       return vocab_file, merge_file




  def 	__lowercase(      self     :	Tuple     , a_     :	List[int]     , a_     :	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]
       SCREAMING_SNAKE_CASE__				:				List[str]			=		[self.cls_token_id]
       SCREAMING_SNAKE_CASE__				:				Dict			=		[self.sep_token_id]
       return cls + token_ids_a + sep + sep + token_ids_a + sep




  def 	__lowercase(      self     :	List[Any]     , a_     :	List[int]     , a_     :	Optional[List[int]] = None     , a_     :	bool = False				)->       List[int]:




       """simple docstring"""
       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 	__lowercase(      self     :	List[Any]     , a_     :	List[int]     , a_     :	Optional[List[int]] = None				)->       List[int]:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				List[str]			=		[self.sep_token_id]
       SCREAMING_SNAKE_CASE__				:				int			=		[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 	__lowercase(      self     :	List[Any]     , a_     :	Tuple     , a_     :	Optional[Any]=False     , **a_     :	Any				)->       List[Any]:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				List[str]			=		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()):
            SCREAMING_SNAKE_CASE__				:				int			=		' ' + text
       return (text, kwargs)




import math







def     _a				(      lowercase__  :			int ):







     '''simple docstring'''


     assert isinstance(lowercase__     ,  lowercase__ ) and (
         number >= 0
     ), "'number' must been an int and positive"

     if 1 < number < 4:
          # 2 and 3 are primes
          return True
     elif number < 2 or not number % 2:
          # Negatives, 0, 1 and all even numbers are not primes
          return False

     SCREAMING_SNAKE_CASE__				:				Tuple			=		range(3     ,  int(math.sqrt(lowercase__ ) + 1 )     ,  2 )
     return not any(not number % i for i in odd_numbers )







def     _a				(      lowercase__  :			List[str]     ,  lowercase__  :			Any=1     ,  **lowercase__  :			Any ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				int			=		factor * value
     SCREAMING_SNAKE_CASE__				:				Dict			=		value

     while not is_prime(lowercase__ ):
          value += 1 if not ("desc" in kwargs and kwargs["desc"] is True) else -1

     if value == first_value_val:
          return next_prime(value + 1     ,  **lowercase__ )
     return value



