





import json
import os
from typing import List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


UpperCamelCase__          =logging.get_logger(__name__)

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

UpperCamelCase__          ={
    'vocab_file': {
        'microsoft/biogpt': 'https://huggingface.co/microsoft/biogpt/resolve/main/vocab.json',
    },
    'merges_file': {'microsoft/biogpt': 'https://huggingface.co/microsoft/biogpt/resolve/main/merges.txt'},
}

UpperCamelCase__          ={
    'microsoft/biogpt': 1024,
}






def 			lowerCamelCase__	(__lowerCamelCase		):
     _SCREAMING_SNAKE_CASE				:		Optional[Any]  			=							set()
     _SCREAMING_SNAKE_CASE				:		List[str]  			=							word[0]
     for char in word[1:]:
          pairs.add((prev_char, char)		)
          _SCREAMING_SNAKE_CASE				:		Optional[int]  			=							char
     return pairs





class 	lowerCAmelCase__(       _a			):






       '''simple docstring'''


       __snake_case       	=			VOCAB_FILES_NAMES
       __snake_case       	=			PRETRAINED_VOCAB_FILES_MAP
       __snake_case       	=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       __snake_case       	=			['input_ids', 'attention_mask']




       def __init__(					self			,  __lowerCamelCase			,  __lowerCamelCase			,  __lowerCamelCase="<unk>"			,  __lowerCamelCase="<s>"			,  __lowerCamelCase="</s>"			,  __lowerCamelCase="</s>"			,  __lowerCamelCase="<pad>"			,  **__lowerCamelCase			,  )	->   List[Any]:
            super().__init__(
                bos_token=lowerCAmelCase_			,  eos_token=lowerCAmelCase_			,  sep_token=lowerCAmelCase_			,  unk_token=lowerCAmelCase_			,  pad_token=lowerCAmelCase_			,  **lowerCAmelCase_			,  )

            try:
                 import sacremoses
            except ImportError:
                 raise ImportError(
                     "You need to install sacremoses to use BioGptTokenizer. "
                     "See https://pypi.org/project/sacremoses/ for installation."							)

            _SCREAMING_SNAKE_CASE				:		str  			=							"en"
            _SCREAMING_SNAKE_CASE				:		Optional[Any]  			=							sacremoses
            # cache of sm.MosesTokenizer instance
            _SCREAMING_SNAKE_CASE				:		Any  			=							{}
            _SCREAMING_SNAKE_CASE				:		Tuple  			=							{}
            with open(lowerCAmelCase_			,  encoding="utf-8"							) as vocab_handle:
                 _SCREAMING_SNAKE_CASE				:		Any  			=							json.load(lowerCAmelCase_							)
            _SCREAMING_SNAKE_CASE				:		Optional[Any]  			=							{v: k for k, v in self.encoder.items()}
            with open(lowerCAmelCase_			,  encoding="utf-8"							) as merges_handle:
                 _SCREAMING_SNAKE_CASE				:		int  			=							merges_handle.read().split("\n"							)[:-1]
            _SCREAMING_SNAKE_CASE				:		List[Any]  			=							[tuple(merge.split()[:2]							) for merge in merges]
            _SCREAMING_SNAKE_CASE				:		Dict  			=							dict(zip(lowerCAmelCase_			,  range(len(lowerCAmelCase_							)							)							)							)
            _SCREAMING_SNAKE_CASE				:		Any  			=							{}




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




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




       def 			UpperCamelCase_	(					self			,  __lowerCamelCase			,  __lowerCamelCase							)	->   str:


            if lang not in self.cache_moses_tokenizer:
                 _SCREAMING_SNAKE_CASE				:		Dict  			=							self.sm.MosesTokenizer(lang=lowerCAmelCase_							)
                 _SCREAMING_SNAKE_CASE				:		str  			=							moses_tokenizer
            return self.cache_moses_tokenizer[lang].tokenize(
                lowerCAmelCase_			,  aggressive_dash_splits=lowerCAmelCase_			,  return_str=lowerCAmelCase_			,  escape=lowerCAmelCase_							)




       def 			UpperCamelCase_	(					self			,  __lowerCamelCase			,  __lowerCamelCase							)	->   List[Any]:


            if lang not in self.cache_moses_detokenizer:
                 _SCREAMING_SNAKE_CASE				:		Optional[int]  			=							self.sm.MosesDetokenizer(lang=lowerCAmelCase_							)
                 _SCREAMING_SNAKE_CASE				:		Optional[Any]  			=							moses_detokenizer
            return self.cache_moses_detokenizer[lang].detokenize(lowerCAmelCase_							)




       def 			UpperCamelCase_	(					self			,  __lowerCamelCase							)	->   Tuple:
            _SCREAMING_SNAKE_CASE				:		int  			=							tuple(token[:-1]							) + (token[-1] + "</w>",)
            if token in self.cache:
                 return self.cache[token]
            _SCREAMING_SNAKE_CASE				:		List[Any]  			=							get_pairs(lowerCAmelCase_							)

            if not pairs:
                 return token + "</w>"

            while True:
                 _SCREAMING_SNAKE_CASE				:		int  			=							min(lowerCAmelCase_			,  key=lambda __lowerCamelCase							: self.bpe_ranks.get(lowerCAmelCase_			,  float("inf"							)							)							)
                 if bigram not in self.bpe_ranks:
                      break
                 _SCREAMING_SNAKE_CASE			,	_SCREAMING_SNAKE_CASE				:		List[Any]  			=							bigram
                 _SCREAMING_SNAKE_CASE				:		Union[str, Any]  			=							[]
                 _SCREAMING_SNAKE_CASE				:		str  			=							0
                 while i < len(lowerCAmelCase_							):
                      try:
                           _SCREAMING_SNAKE_CASE				:		Union[str, Any]  			=							word.index(lowerCAmelCase_			,  lowerCAmelCase_							)
                      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(lowerCAmelCase_							) - 1 and word[i + 1] == second:
                           new_word.append(first + second							)
                           i += 2
                      else:
                           new_word.append(word[i]							)
                           i += 1
                 _SCREAMING_SNAKE_CASE				:		Dict  			=							tuple(lowerCAmelCase_							)
                 _SCREAMING_SNAKE_CASE				:		Optional[Any]  			=							new_word
                 if len(lowerCAmelCase_							) == 1:
                      break
                 else:
                      _SCREAMING_SNAKE_CASE				:		Union[str, Any]  			=							get_pairs(lowerCAmelCase_							)
            _SCREAMING_SNAKE_CASE				:		Union[str, Any]  			=							" ".join(lowerCAmelCase_							)
            if word == "\n  </w>":
                 _SCREAMING_SNAKE_CASE				:		Any  			=							"\n</w>"
            _SCREAMING_SNAKE_CASE				:		str  			=							word
            return word




       def 			UpperCamelCase_	(					self			,  __lowerCamelCase			,  __lowerCamelCase=False							)	->   Any:


            if bypass_tokenizer:
                 _SCREAMING_SNAKE_CASE				:		Tuple  			=							text.split()
            else:
                 _SCREAMING_SNAKE_CASE				:		List[str]  			=							self.moses_tokenize(lowerCAmelCase_			,  self.lang							)

            _SCREAMING_SNAKE_CASE				:		Any  			=							[]
            for token in text:
                 if token:
                      split_tokens.extend(list(self.bpe(lowerCAmelCase_							).split(" "							)							)							)

            return split_tokens




       def 			UpperCamelCase_	(					self			,  __lowerCamelCase							)	->   Tuple:
            return self.encoder.get(lowerCAmelCase_			,  self.encoder.get(self.unk_token							)							)




       def 			UpperCamelCase_	(					self			,  __lowerCamelCase							)	->   int:
            return self.decoder.get(lowerCAmelCase_			,  self.unk_token							)




       def 			UpperCamelCase_	(					self			,  __lowerCamelCase							)	->   List[Any]:
            _SCREAMING_SNAKE_CASE				:		Union[str, Any]  			=							[t.replace(" "			,  ""							).replace("</w>"			,  " "							) for t in tokens]
            _SCREAMING_SNAKE_CASE				:		List[Any]  			=							"".join(lowerCAmelCase_							).split()
            # detokenize
            _SCREAMING_SNAKE_CASE				:		Any  			=							self.moses_detokenize(lowerCAmelCase_			,  self.lang							)
            return text




       def 			UpperCamelCase_	(					self			,  __lowerCamelCase			,  __lowerCamelCase = None							)	->   List[int]:


            if token_ids_a is None:
                 return [self.sep_token_id] + token_ids_a
            _SCREAMING_SNAKE_CASE				:		int  			=							[self.sep_token_id]
            return sep + token_ids_a + sep + token_ids_a




       def 			UpperCamelCase_	(					self			,  __lowerCamelCase			,  __lowerCamelCase = None			,  __lowerCamelCase = False							)	->   List[int]:


            if already_has_special_tokens:
                 return super().get_special_tokens_mask(
                     token_ids_a=lowerCAmelCase_			,  token_ids_a=lowerCAmelCase_			,  already_has_special_tokens=lowerCAmelCase_							)
            # no bos used in fairseq
            if token_ids_a is not None:
                 return [1] + ([0] * len(lowerCAmelCase_							)) + [1] + ([0] * len(lowerCAmelCase_							))
            return [1] + ([0] * len(lowerCAmelCase_							))




       def 			UpperCamelCase_	(					self			,  __lowerCamelCase			,  __lowerCamelCase = None							)	->   List[int]:
            _SCREAMING_SNAKE_CASE				:		Union[str, Any]  			=							[self.sep_token_id]

            # no bos used in fairseq
            if token_ids_a is None:
                 return len(token_ids_a + sep							) * [0]
            return len(token_ids_a + sep							) * [0] + len(token_ids_a + sep							) * [1]




       def 			UpperCamelCase_	(					self			,  __lowerCamelCase			,  __lowerCamelCase = None							)	->   Tuple[str]:


            if not os.path.isdir(lowerCAmelCase_							):
                 logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""							)
                 return
            _SCREAMING_SNAKE_CASE				:		Tuple  			=							os.path.join(
                lowerCAmelCase_			,  (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]							)
            _SCREAMING_SNAKE_CASE				:		Optional[Any]  			=							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"							)

            _SCREAMING_SNAKE_CASE				:		Optional[Any]  			=							0
            with open(lowerCAmelCase_			,  "w"			,  encoding="utf-8"							) as writer:
                 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!"							)
                           _SCREAMING_SNAKE_CASE				:		Dict  			=							token_index
                      writer.write(" ".join(lowerCAmelCase_							) + "\n"							)
                      index += 1

            return vocab_file, merge_file




       def __getstate__(					self							)	->   List[Any]:
            _SCREAMING_SNAKE_CASE				:		Optional[int]  			=							self.__dict__.copy()
            _SCREAMING_SNAKE_CASE				:		int  			=							None
            return state







       def __setstate__(					self			,  __lowerCamelCase							)	->   Dict:
            _SCREAMING_SNAKE_CASE				:		Union[str, Any]  			=							d

            try:
                 import sacremoses
            except ImportError:
                 raise ImportError(
                     "You need to install sacremoses to use XLMTokenizer. "
                     "See https://pypi.org/project/sacremoses/ for installation."							)

            _SCREAMING_SNAKE_CASE				:		Tuple  			=							sacremoses





'''simple docstring'''


def 		snake_case_    (UpperCamelCase       :  List[str] ,						UpperCamelCase       :  List[Any] ,						UpperCamelCase       :  Union[str, Any]      ):





							'''simple docstring'''


							_a	     =				index
							_a	     =				2 * index + 1
							_a	     =				2 * index + 2
							if left_index < heap_size and unsorted[left_index] > unsorted[largest]:
														_a	     =				left_index

							if right_index < heap_size and unsorted[right_index] > unsorted[largest]:
														_a	     =				right_index

							if largest != index:
														_a     ,							_a	     =				unsorted[index], unsorted[largest]
														heapify(UpperCamelCase ,						UpperCamelCase ,						UpperCamelCase      )
def 		snake_case_    (UpperCamelCase       :  Union[str, Any]      ):





							'''simple docstring'''


							_a	     =				len(UpperCamelCase      )
							for i in range(n // 2 - 1 ,						-1 ,						-1      ):
														heapify(UpperCamelCase ,						UpperCamelCase ,						UpperCamelCase      )
							for i in range(n - 1 ,						0 ,						-1      ):
														_a     ,							_a	     =				unsorted[i], unsorted[0]
														heapify(UpperCamelCase ,						0 ,						UpperCamelCase      )
							return unsorted


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

