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


_lowerCAmelCase        =       logging.get_logger(__name__)


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

# See all MVP models at https://huggingface.co/models?filter=mvp
_lowerCAmelCase        =       {
    'vocab_file': {
        'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json',
    },
    'added_tokens.json': {
        'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json',
    },
    'merges_file': {
        'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt',
    },
}

_lowerCAmelCase        =       {
    'RUCAIBox/mvp': 1_0_2_4,
}


@lru_cache()
def       a__      (					)		->	int:
       A_							:       int	      =				(
           list(range(ord('''!'''							)  ,   ord('''~'''							) + 1							)							) + list(range(ord('''¡'''							)  ,   ord('''¬'''							) + 1							)							) + list(range(ord('''®'''							)  ,   ord('''ÿ'''							) + 1							)							)
       )
       A_							:       Tuple	      =				bs[:]
       A_							:       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
       A_							:       Optional[int]	      =				[chr(_SCREAMING_SNAKE_CASE							) for n in cs]
       return dict(zip(_SCREAMING_SNAKE_CASE  ,   _SCREAMING_SNAKE_CASE							)							)


def       a__      (					a							)		->	Union[str, Any]:
       A_							:       Optional[Any]	      =				set()
       A_							:       Union[str, Any]	      =				word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)							)
              A_							:       int	      =				char
       return pairs






class     __UpperCAmelCase(    snake_case_				):






 """simple docstring"""




 __magic_name__          =   VOCAB_FILES_NAMES
 __magic_name__          =   PRETRAINED_VOCAB_FILES_MAP
 __magic_name__          =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __magic_name__          =   ["""input_ids""", """attention_mask"""]
 def __init__(    self ,       __magic_name__ ,       __magic_name__ ,       __magic_name__="replace" ,       __magic_name__="<s>" ,       __magic_name__="</s>" ,       __magic_name__="</s>" ,       __magic_name__="<s>" ,       __magic_name__="<unk>" ,       __magic_name__="<pad>" ,       __magic_name__="<mask>" ,       __magic_name__=False ,       **__magic_name__ ,       ):

        """simple docstring"""

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

        # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
        A_							:       List[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  UpperCAmelCase   (    self      ):

        """simple docstring"""

        return len(self.encoder      )
 def  UpperCAmelCase   (    self      ):

        """simple docstring"""

        return dict(self.encoder ,       **self.added_tokens_encoder      )
 def  UpperCAmelCase   (    self ,       __magic_name__      ):

        """simple docstring"""

        if token in self.cache:
               return self.cache[token]
        A_							:       Tuple	      =				tuple(_lowerCAmelCase      )
        A_							:       Any	      =				get_pairs(_lowerCAmelCase      )

        if not pairs:
               return token

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

        """simple docstring"""

        A_							:       Optional[int]	      =				[]
        for token in re.findall(self.pat ,       _lowerCAmelCase      ):
               A_							:       Optional[Any]	      =				''''''.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 ,       __magic_name__      ):

        """simple docstring"""

        return self.encoder.get(_lowerCAmelCase ,       self.encoder.get(self.unk_token      )      )
 def  UpperCAmelCase   (    self ,       __magic_name__      ):

        """simple docstring"""

        return self.decoder.get(_lowerCAmelCase      )
 def  UpperCAmelCase   (    self ,       __magic_name__      ):

        """simple docstring"""

        A_							:       int	      =				''''''.join(_lowerCAmelCase      )
        A_							:       Any	      =				bytearray([self.byte_decoder[c] for c in text]      ).decode('''utf-8''' ,       errors=self.errors      )
        return text
 def  UpperCAmelCase   (    self ,       __magic_name__ ,       __magic_name__ = None      ):

        """simple docstring"""

        if not os.path.isdir(_lowerCAmelCase      ):
               logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""      )
               return
        A_							:       str	      =				os.path.join(
            _lowerCAmelCase ,       (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']      )
        A_							:       Optional[int]	      =				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'''      )

        A_							:       Dict	      =				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 __magic_name__      : 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_							:       int	      =				token_index
                      writer.write(''' '''.join(_lowerCAmelCase      ) + '''\n'''      )
                      index += 1

        return vocab_file, merge_file
 def  UpperCAmelCase   (    self ,       __magic_name__ ,       __magic_name__ = None      ):

        """simple docstring"""

        if token_ids_a is None:
               return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
        A_							:       int	      =				[self.cls_token_id]
        A_							:       int	      =				[self.sep_token_id]
        return cls + token_ids_a + sep + sep + token_ids_a + sep
 def  UpperCAmelCase   (    self ,       __magic_name__ ,       __magic_name__ = None ,       __magic_name__ = False      ):

        """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 ,       __magic_name__ ,       __magic_name__ = None      ):

        """simple docstring"""

        A_							:       str	      =				[self.sep_token_id]
        A_							:       List[Any]	      =				[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 ,       __magic_name__ ,       __magic_name__=False ,       **__magic_name__      ):

        """simple docstring"""

        A_							:       str	      =				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()):
               A_							:       Tuple	      =				''' ''' + text
        return (text, kwargs)







from __future__ import annotations

from random import randrange
def 				UpperCAmelCase__		(					_SCREAMING_SNAKE_CASE :						list					)->list:
      if len(_SCREAMING_SNAKE_CASE					) < 2:
            return collection
      _lowerCAmelCase			      =	randrange(len(_SCREAMING_SNAKE_CASE					)					)  # Use random element as pivot
      _lowerCAmelCase			      =	collection[pivot_index]
      _lowerCAmelCase			      =	[]  # All elements greater than pivot
      _lowerCAmelCase			      =	[]  # All elements less than or equal to pivot

      for element in collection[:pivot_index]:
            (greater if element > pivot else lesser).append(_SCREAMING_SNAKE_CASE					)

      for element in collection[pivot_index + 1 :]:
            (greater if element > pivot else lesser).append(_SCREAMING_SNAKE_CASE					)

      return [*quick_sort(_SCREAMING_SNAKE_CASE					), pivot, *quick_sort(_SCREAMING_SNAKE_CASE					)]


if __name__ == "__main__":
    UpperCAmelCase_          =				input("Enter numbers separated by a comma:\n").strip()
    UpperCAmelCase_          =				[int(item) for item in user_input.split(",")]
    print(quick_sort(unsorted))