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

from transformers.utils import is_jieba_available, requires_backends


if is_jieba_available():
   import jieba

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


__lowerCamelCase      :			Tuple							       =		logging.get_logger(__name__)

__lowerCamelCase      :			List[str]							       =		{'''vocab_file''': '''vocab.txt'''}

__lowerCamelCase      :			Union[str, Any]							       =		{
    '''vocab_file''': {
        '''openbmb/cpm-ant-10b''': '''https://huggingface.co/openbmb/cpm-ant-10b/blob/main/vocab.txt''',
    },
}

__lowerCamelCase      :			Optional[Any]							       =		{
    '''openbmb/cpm-ant-10b''': 1024,
}



def      __SCREAMING_SNAKE_CASE  ( __UpperCamelCase   :	Dict     )							-> Union[str, Any]:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__      							=				collections.OrderedDict()
  with open(__UpperCamelCase			,					"""r"""			,					encoding="""utf-8"""     ) as reader:
    SCREAMING_SNAKE_CASE__      							=				reader.readlines()
  for index, token in enumerate(__UpperCamelCase     ):
    SCREAMING_SNAKE_CASE__      							=				token.rstrip("""\n"""     )
    SCREAMING_SNAKE_CASE__      							=				index
  return vocab







class __snake_case    (						lowerCamelCase_		):




   def __init__(   self      :    Any	,     _lowercase      :    Tuple	,     _lowercase      :    Optional[int]="<unk>"	,     _lowercase      :    Union[str, Any]=2_00				):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__      							=				vocab
     SCREAMING_SNAKE_CASE__      							=				unk_token
     SCREAMING_SNAKE_CASE__      							=				max_input_chars_per_word




   def      __a						(   self      :    Dict	,     _lowercase      :    Any				):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__      							=				list(_lowercase				)
     if len(_lowercase				) > self.max_input_chars_per_word:
       return [self.unk_token]

     SCREAMING_SNAKE_CASE__      							=				0
     SCREAMING_SNAKE_CASE__      							=				[]
     while start < len(_lowercase				):
       SCREAMING_SNAKE_CASE__      							=				len(_lowercase				)
       SCREAMING_SNAKE_CASE__      							=				None
       while start < end:
         SCREAMING_SNAKE_CASE__      							=				"""""".join(chars[start:end]				)
         if substr in self.vocab:
           SCREAMING_SNAKE_CASE__      							=				substr
           break
         end -= 1
       if cur_substr is None:
         sub_tokens.append(self.unk_token				)
         start += 1
       else:
         sub_tokens.append(_lowercase				)
         SCREAMING_SNAKE_CASE__      							=				end

     return sub_tokens







class __snake_case    (						lowerCamelCase_		):
   lowerCAmelCase_														=							VOCAB_FILES_NAMES
   lowerCAmelCase_														=							PRETRAINED_VOCAB_FILES_MAP
   lowerCAmelCase_														=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   lowerCAmelCase_														=							["input_ids", "attention_mask"]
   lowerCAmelCase_														=							False




   def __init__(   self      :    str	,     _lowercase      :    Optional[int]	,     _lowercase      :    Any="<d>"	,     _lowercase      :    Any="</d>"	,     _lowercase      :    str="<s>"	,     _lowercase      :    Optional[Any]="</s>"	,     _lowercase      :    Optional[Any]="<pad>"	,     _lowercase      :    Union[str, Any]="<unk>"	,     _lowercase      :    str="</n>"	,     _lowercase      :    Dict="</_>"	,     _lowercase      :    Optional[int]="left"	,     **_lowercase      :    Dict	,     ):



     """simple docstring"""






     requires_backends(self	,     ["""jieba"""]				)
     super().__init__(
         bod_token=_lowercase	,     eod_token=_lowercase	,     bos_token=_lowercase	,     eos_token=_lowercase	,     pad_token=_lowercase	,     unk_token=_lowercase	,     line_token=_lowercase	,     space_token=_lowercase	,     padding_side=_lowercase	,     **_lowercase	,     )
     SCREAMING_SNAKE_CASE__      							=				bod_token
     SCREAMING_SNAKE_CASE__      							=				eod_token
     SCREAMING_SNAKE_CASE__      							=				load_vocab(_lowercase				)
     SCREAMING_SNAKE_CASE__      							=				self.encoder[space_token]
     SCREAMING_SNAKE_CASE__      							=				self.encoder[line_token]

     del self.encoder[space_token]
     del self.encoder[line_token]

     SCREAMING_SNAKE_CASE__      							=				collections.OrderedDict(sorted(self.encoder.items()	,     key=lambda _lowercase				: x[1]				)				)
     SCREAMING_SNAKE_CASE__      							=				{v: k for k, v in self.encoder.items()}

     SCREAMING_SNAKE_CASE__      							=				WordpieceTokenizer(vocab=self.encoder	,     unk_token=self.unk_token				)




   @property
   def      __a						(   self      :    Optional[Any]				):



     """simple docstring"""






     return self.encoder[self.bod_token]




   @property
   def      __a						(   self      :    Optional[int]				):



     """simple docstring"""






     return self.encoder[self.eod_token]




   @property
   def      __a						(   self      :    Any				):



     """simple docstring"""






     return self.encoder["\n"]




   @property
   def      __a						(   self      :    str				):



     """simple docstring"""






     return len(self.encoder				)




   def      __a						(   self      :    str				):



     """simple docstring"""






     return dict(self.encoder	,     **self.added_tokens_encoder				)




   def      __a						(   self      :    Optional[int]	,     _lowercase      :    Union[str, Any]				):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__      							=				[]
     for x in jieba.cut(_lowercase	,     cut_all=_lowercase				):
       output_tokens.extend(self.wordpiece_tokenizer.tokenize(_lowercase				)				)
     return output_tokens




   def      __a						(   self      :    Optional[Any]	,     _lowercase      :    Tuple	,     **_lowercase      :    Dict				):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__      							=				[i for i in token_ids if i >= 0]
     SCREAMING_SNAKE_CASE__      							=				[
         x for x in token_ids if x != self.pad_token_id and x != self.eos_token_id and x != self.bos_token_id
     ]
     return super()._decode(_lowercase	,     **_lowercase				)




   def      __a						(   self      :    List[str]	,     _lowercase      :    str				):



     """simple docstring"""






     return token in self.encoder




   def      __a						(   self      :    List[str]	,     _lowercase      :    List[str]				):



     """simple docstring"""






     return "".join(_lowercase				)




   def      __a						(   self      :    Any	,     _lowercase      :    Dict				):



     """simple docstring"""






     return self.encoder.get(_lowercase	,     self.encoder.get(self.unk_token				)				)




   def      __a						(   self      :    Union[str, Any]	,     _lowercase      :    List[str]				):



     """simple docstring"""






     return self.decoder.get(_lowercase	,     self.unk_token				)




   def      __a						(   self      :    Optional[Any]	,     _lowercase      :    str	,     _lowercase      :    Optional[str] = None				):



     """simple docstring"""






     if os.path.isdir(_lowercase				):
       SCREAMING_SNAKE_CASE__      							=				os.path.join(
           _lowercase	,     (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]				)
     else:
       SCREAMING_SNAKE_CASE__      							=				(filename_prefix + """-""" if filename_prefix else """""") + save_directory
     SCREAMING_SNAKE_CASE__      							=				0
     if " " in self.encoder:
       SCREAMING_SNAKE_CASE__      							=				self.encoder[""" """]
       del self.encoder[" "]
     if "\n" in self.encoder:
       SCREAMING_SNAKE_CASE__      							=				self.encoder["""\n"""]
       del self.encoder["\n"]
     SCREAMING_SNAKE_CASE__      							=				collections.OrderedDict(sorted(self.encoder.items()	,     key=lambda _lowercase				: x[1]				)				)
     with open(_lowercase	,     """w"""	,     encoding="""utf-8"""				) as writer:
       for token, token_index in self.encoder.items():
         if index != token_index:
           logger.warning(
               f"""Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive."""
               """ Please check that the vocabulary is not corrupted!"""				)
           SCREAMING_SNAKE_CASE__      							=				token_index
         writer.write(token + """\n"""				)
         index += 1
     return (vocab_file,)




   def      __a						(   self      :    Optional[Any]	,     _lowercase      :    List[int]	,     _lowercase      :    List[int] = None				):



     """simple docstring"""






     if token_ids_a is None:
       return [self.bos_token_id] + token_ids_a
     return [self.bos_token_id] + token_ids_a + [self.bos_token_id] + token_ids_a




   def      __a						(   self      :    List[Any]	,     _lowercase      :    List[int]	,     _lowercase      :    Optional[List[int]] = None	,     _lowercase      :    bool = False				):



     """simple docstring"""






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

     if token_ids_a is not None:
       return [1] + ([0] * len(_lowercase				)) + [1] + ([0] * len(_lowercase				))
     return [1] + ([0] * len(_lowercase				))

def      __SCREAMING_SNAKE_CASE  ( __UpperCamelCase   :	Union[str, Any]     )							-> int:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__      							=				len(__UpperCamelCase     )
  for i in range(length - 1     ):
    SCREAMING_SNAKE_CASE__      							=				i
    for k in range(i + 1			,					__UpperCamelCase     ):
      if collection[k] < collection[least]:
        SCREAMING_SNAKE_CASE__      							=				k
    if least != i:
      SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__      							=				(collection[i], collection[least])
  return collection


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