import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple

import regex as re

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


if TYPE_CHECKING:
 from transformers.pipelines.conversational import Conversation

UpperCAmelCase      		=					logging.get_logger(__name__)

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

UpperCAmelCase      		=					{
    "vocab_file": {
        "gpt2": "https://huggingface.co/gpt2/resolve/main/vocab.json",
        "gpt2-medium": "https://huggingface.co/gpt2-medium/resolve/main/vocab.json",
        "gpt2-large": "https://huggingface.co/gpt2-large/resolve/main/vocab.json",
        "gpt2-xl": "https://huggingface.co/gpt2-xl/resolve/main/vocab.json",
        "distilgpt2": "https://huggingface.co/distilgpt2/resolve/main/vocab.json",
    },
    "merges_file": {
        "gpt2": "https://huggingface.co/gpt2/resolve/main/merges.txt",
        "gpt2-medium": "https://huggingface.co/gpt2-medium/resolve/main/merges.txt",
        "gpt2-large": "https://huggingface.co/gpt2-large/resolve/main/merges.txt",
        "gpt2-xl": "https://huggingface.co/gpt2-xl/resolve/main/merges.txt",
        "distilgpt2": "https://huggingface.co/distilgpt2/resolve/main/merges.txt",
    },
}

UpperCAmelCase      		=					{
    "gpt2": 10_24,
    "gpt2-medium": 10_24,
    "gpt2-large": 10_24,
    "gpt2-xl": 10_24,
    "distilgpt2": 10_24,
}


@lru_cache()
def SCREAMING_SNAKE_CASE					(  ):
       _UpperCamelCase  :							List[Any]	    =	(
           list(range(ord('!'					)		,    ord('~'					) + 1					)					) + list(range(ord('¡'					)		,    ord('¬'					) + 1					)					) + list(range(ord('®'					)		,    ord('ÿ'					) + 1					)					)
       )
       _UpperCamelCase  :							int	    =	bs[:]
       _UpperCamelCase  :							List[str]	    =	0
       for b in range(2**8					):
              if b not in bs:
                     bs.append(SCREAMING_SNAKE_CASE_					)
                     cs.append(2**8 + n					)
                     n += 1
       _UpperCamelCase  :							Optional[int]	    =	[chr(SCREAMING_SNAKE_CASE_					) for n in cs]
       return dict(zip(SCREAMING_SNAKE_CASE_		,    SCREAMING_SNAKE_CASE_					)					)


def SCREAMING_SNAKE_CASE					(  lowercase_:						List[str]					):
       _UpperCamelCase  :							Dict	    =	set()
       _UpperCamelCase  :							Any	    =	word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)					)
              _UpperCamelCase  :							List[str]	    =	char
       return pairs





class  __lowerCAmelCase	(							_a    ):



 '''simple docstring'''
 _lowerCamelCase    :						Any					     =			VOCAB_FILES_NAMES
 _lowerCamelCase    :						Optional[Any]					     =			PRETRAINED_VOCAB_FILES_MAP
 _lowerCamelCase    :						int					     =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 _lowerCamelCase    :						str					     =			["input_ids", "attention_mask"]

 def __init__(      self							:		Dict							,      lowerCamelCase							:		Any							,      lowerCamelCase							:		Dict							,      lowerCamelCase							:		Optional[int]="replace"							,      lowerCamelCase							:		int="<|endoftext|>"							,      lowerCamelCase							:		Dict="<|endoftext|>"							,      lowerCamelCase							:		str="<|endoftext|>"							,      lowerCamelCase							:		Any=None							,      lowerCamelCase							:		Any=False							,      lowerCamelCase							:		Tuple=False							,      **lowerCamelCase							:		int							,      )			->				str:
        _UpperCamelCase  :							Optional[Any]	    =	AddedToken(__SCREAMING_SNAKE_CASE							,      lstrip=__SCREAMING_SNAKE_CASE							,      rstrip=__SCREAMING_SNAKE_CASE	) if isinstance(__SCREAMING_SNAKE_CASE							,      __SCREAMING_SNAKE_CASE	) else bos_token
        _UpperCamelCase  :							Union[str, Any]	    =	AddedToken(__SCREAMING_SNAKE_CASE							,      lstrip=__SCREAMING_SNAKE_CASE							,      rstrip=__SCREAMING_SNAKE_CASE	) if isinstance(__SCREAMING_SNAKE_CASE							,      __SCREAMING_SNAKE_CASE	) else eos_token
        _UpperCamelCase  :							List[Any]	    =	AddedToken(__SCREAMING_SNAKE_CASE							,      lstrip=__SCREAMING_SNAKE_CASE							,      rstrip=__SCREAMING_SNAKE_CASE	) if isinstance(__SCREAMING_SNAKE_CASE							,      __SCREAMING_SNAKE_CASE	) else unk_token
        _UpperCamelCase  :							Union[str, Any]	    =	AddedToken(__SCREAMING_SNAKE_CASE							,      lstrip=__SCREAMING_SNAKE_CASE							,      rstrip=__SCREAMING_SNAKE_CASE	) if isinstance(__SCREAMING_SNAKE_CASE							,      __SCREAMING_SNAKE_CASE	) else pad_token
        super().__init__(
            errors=__SCREAMING_SNAKE_CASE							,      unk_token=__SCREAMING_SNAKE_CASE							,      bos_token=__SCREAMING_SNAKE_CASE							,      eos_token=__SCREAMING_SNAKE_CASE							,      pad_token=__SCREAMING_SNAKE_CASE							,      add_prefix_space=__SCREAMING_SNAKE_CASE							,      add_bos_token=__SCREAMING_SNAKE_CASE							,      **__SCREAMING_SNAKE_CASE							,      )
        _UpperCamelCase  :							List[str]	    =	add_bos_token

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

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

 @property
 def        __snake_case       (      self							:		Optional[int]	)			->				List[Any]:
        return len(self.encoder	)

 def        __snake_case       (      self							:		int	)			->				Dict:
        return dict(self.encoder							,      **self.added_tokens_encoder	)

 def        __snake_case       (      self							:		Optional[int]							,      lowerCamelCase							:		Dict	)			->				Tuple:




        if token in self.cache:
               return self.cache[token]
        _UpperCamelCase  :							int	    =	tuple(__SCREAMING_SNAKE_CASE	)
        _UpperCamelCase  :							int	    =	get_pairs(__SCREAMING_SNAKE_CASE	)

        if not pairs:
               return token

        while True:
               _UpperCamelCase  :							List[Any]	    =	min(__SCREAMING_SNAKE_CASE							,      key=lambda lowerCamelCase	: self.bpe_ranks.get(__SCREAMING_SNAKE_CASE							,      float('inf'	)	)	)
               if bigram not in self.bpe_ranks:
                      break
               _UpperCamelCase  :							List[Any]	    =	bigram
               _UpperCamelCase  :							str	    =	[]
               _UpperCamelCase  :							str	    =	0
               while i < len(__SCREAMING_SNAKE_CASE	):
                      try:
                             _UpperCamelCase  :							Any	    =	word.index(__SCREAMING_SNAKE_CASE							,      __SCREAMING_SNAKE_CASE	)
                      except ValueError:
                             new_word.extend(word[i:]	)
                             break
                      else:
                             new_word.extend(word[i:j]	)
                             _UpperCamelCase  :							List[str]	    =	j

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

 def        __snake_case       (      self							:		int							,      lowerCamelCase							:		int							,      lowerCamelCase							:		Any=None	)			->				Any:




        if self.add_bos_token:
               _UpperCamelCase  :							List[Any]	    =	[self.bos_token_id]
        else:
               _UpperCamelCase  :							Any	    =	[]

        _UpperCamelCase  :							int	    =	bos_token_ids + token_ids_a

        if token_ids_a is None:
               return output

        return output + bos_token_ids + token_ids_a

 def        __snake_case       (      self							:		Dict							,      lowerCamelCase							:		Optional[int]							,      lowerCamelCase							:		str = None							,      lowerCamelCase							:		str = False	)			->				Tuple:




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

        if not self.add_bos_token:
               return super().get_special_tokens_mask(
                   token_ids_a=__SCREAMING_SNAKE_CASE							,      token_ids_a=__SCREAMING_SNAKE_CASE							,      already_has_special_tokens=__SCREAMING_SNAKE_CASE	)

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

 def        __snake_case       (      self							:		Dict							,      lowerCamelCase							:		Optional[int]	)			->				List[str]:
        _UpperCamelCase  :							Dict	    =	[]
        for token in re.findall(self.pat							,      __SCREAMING_SNAKE_CASE	):
               _UpperCamelCase  :							str	    =	''''''.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(__SCREAMING_SNAKE_CASE	).split(' '	)	)
        return bpe_tokens

 def        __snake_case       (      self							:		List[Any]							,      lowerCamelCase							:		List[str]	)			->				int:
        return self.encoder.get(__SCREAMING_SNAKE_CASE							,      self.encoder.get(self.unk_token	)	)

 def        __snake_case       (      self							:		Optional[int]							,      lowerCamelCase							:		Tuple	)			->				List[str]:
        return self.decoder.get(__SCREAMING_SNAKE_CASE	)

 def        __snake_case       (      self							:		List[str]							,      lowerCamelCase							:		List[Any]	)			->				List[Any]:
        _UpperCamelCase  :							Union[str, Any]	    =	''''''.join(__SCREAMING_SNAKE_CASE	)
        _UpperCamelCase  :							Union[str, Any]	    =	bytearray([self.byte_decoder[c] for c in text]	).decode('utf-8'							,      errors=self.errors	)
        return text

 def        __snake_case       (      self							:		Dict							,      lowerCamelCase							:		Any							,      lowerCamelCase							:		Optional[Any] = None	)			->				int:




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

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

        _UpperCamelCase  :							Union[str, Any]	    =	0
        with open(__SCREAMING_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 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  :							str	    =	token_index
                      writer.write(' '.join(__SCREAMING_SNAKE_CASE	) + '\n'	)
                      index += 1

        return vocab_file, merge_file

 def        __snake_case       (      self							:		Tuple							,      lowerCamelCase							:		Any							,      lowerCamelCase							:		str=False							,      **lowerCamelCase							:		int	)			->				str:
        _UpperCamelCase  :							List[Any]	    =	kwargs.pop('add_prefix_space'							,      self.add_prefix_space	)
        if is_split_into_words or add_prefix_space:
               _UpperCamelCase  :							str	    =	''' ''' + text
        return (text, kwargs)

 def        __snake_case       (      self							:		Dict							,      lowerCamelCase							:		Optional[int]	)			->				int:
        _UpperCamelCase  :							Optional[int]	    =	[]
        for is_user, text in conversation.iter_texts():
               input_ids.extend(self.encode(__SCREAMING_SNAKE_CASE							,      add_special_tokens=__SCREAMING_SNAKE_CASE	) + [self.eos_token_id]	)
        if len(__SCREAMING_SNAKE_CASE	) > self.model_max_length:
               _UpperCamelCase  :							int	    =	input_ids[-self.model_max_length :]
        return input_ids







import sys


def   a						(				SCREAMING_SNAKE_CASE_   :		int				,      SCREAMING_SNAKE_CASE_   :		list[int]							):






       """simple docstring"""





       if not numbers:
              return 0
       if target == 0 and target in numbers:
              return 0
       if not isinstance(SCREAMING_SNAKE_CASE_				,      (list, tuple)							) or not all(
           isinstance(SCREAMING_SNAKE_CASE_				,      SCREAMING_SNAKE_CASE_							) for number in numbers							):
              raise ValueError('''numbers must be an iterable of integers'''							)

       UpperCamelCase     :						Dict 						=		0
       UpperCamelCase     :						Tuple 						=		sys.maxsize

       while right < len(SCREAMING_SNAKE_CASE_							):
              curr_sum += numbers[right]
              while curr_sum >= target and left <= right:
                     UpperCamelCase     :						int 						=		min(SCREAMING_SNAKE_CASE_				,      right - left + 1							)
                     curr_sum -= numbers[left]
                     left += 1
              right += 1

       return 0 if min_len == sys.maxsize else min_len

