
"""simple docstring"""





import math







def 	__a     (		__lowerCamelCase,		__lowerCamelCase = 0,		__lowerCamelCase = 0  ):
   UpperCAmelCase_					:					Tuple			     =    end or len(snake_case_  )
   for i in range(snake_case_,		snake_case_  ):
      UpperCAmelCase_					:					List[str]			     =    i
      UpperCAmelCase_					:					Optional[Any]			     =    array[i]
      while temp_index != start and temp_index_value < array[temp_index - 1]:
         UpperCAmelCase_					:					int			     =    array[temp_index - 1]
         temp_index -= 1
      UpperCAmelCase_					:					Dict			     =    temp_index_value
   return array







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase  ):  # Max Heap
   UpperCAmelCase_					:					Dict			     =    index
   UpperCAmelCase_					:					Union[str, Any]			     =    2 * index + 1  # Left Node
   UpperCAmelCase_					:					List[Any]			     =    2 * index + 2  # Right Node

   if left_index < heap_size and array[largest] < array[left_index]:
      UpperCAmelCase_					:					str			     =    left_index

   if right_index < heap_size and array[largest] < array[right_index]:
      UpperCAmelCase_					:					str			     =    right_index

   if largest != index:
      UpperCAmelCase_					:					List[Any]			     =    array[largest], array[index]
      heapify(snake_case_,		snake_case_,		snake_case_  )







def 	__a     (		__lowerCamelCase  ):
   UpperCAmelCase_					:					Any			     =    len(snake_case_  )

   for i in range(n // 2,		-1,		-1  ):
      heapify(snake_case_,		snake_case_,		snake_case_  )

   for i in range(n - 1,		0,		-1  ):
      UpperCAmelCase_					:					Union[str, Any]			     =    array[0], array[i]
      heapify(snake_case_,		0,		snake_case_  )

   return array







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase  ):
   if (array[first_index] > array[middle_index]) != (
       array[first_index] > array[last_index]
   ):
      return array[first_index]
   elif (array[middle_index] > array[first_index]) != (
       array[middle_index] > array[last_index]
   ):
      return array[middle_index]
   else:
      return array[last_index]







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase  ):
   UpperCAmelCase_					:					int			     =    low
   UpperCAmelCase_					:					List[Any]			     =    high
   while True:
      while array[i] < pivot:
         i += 1
      j -= 1
      while pivot < array[j]:
         j -= 1
      if i >= j:
         return i
      UpperCAmelCase_					:					str			     =    array[j], array[i]
      i += 1







def 	__a     (		__lowerCamelCase  ):
   if len(snake_case_  ) == 0:
      return array
   UpperCAmelCase_					:					Tuple			     =    2 * math.ceil(math.loga(len(snake_case_  )  )  )
   UpperCAmelCase_					:					List[str]			     =    16
   return intro_sort(snake_case_,		0,		len(snake_case_  ),		snake_case_,		snake_case_  )







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase  ):
   while end - start > size_threshold:
      if max_depth == 0:
         return heap_sort(snake_case_  )
      max_depth -= 1
      UpperCAmelCase_					:					Optional[Any]			     =    median_of_a(snake_case_,		snake_case_,		start + ((end - start) // 2) + 1,		end - 1  )
      UpperCAmelCase_					:					List[Any]			     =    partition(snake_case_,		snake_case_,		snake_case_,		snake_case_  )
      intro_sort(snake_case_,		snake_case_,		snake_case_,		snake_case_,		snake_case_  )
      UpperCAmelCase_					:					Optional[Any]			     =    p
   return insertion_sort(snake_case_,		snake_case_,		snake_case_  )


if __name__ == "__main__":
    import doctest

    doctest.testmod()

    _a		       =							input('Enter numbers separated by a comma : ').strip()
    _a		       =							[float(item) for item in user_input.split(',')]
    print(sort(unsorted))








import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
  from .tokenization_fnet import FNetTokenizer
else:
  _snake_case										=       None

_snake_case										=       logging.get_logger(__name__)
_snake_case										=       {"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

_snake_case										=       {
    "vocab_file": {
        "google/fnet-base": "https://huggingface.co/google/fnet-base/resolve/main/spiece.model",
        "google/fnet-large": "https://huggingface.co/google/fnet-large/resolve/main/spiece.model",
    },
    "tokenizer_file": {
        "google/fnet-base": "https://huggingface.co/google/fnet-base/resolve/main/tokenizer.json",
        "google/fnet-large": "https://huggingface.co/google/fnet-large/resolve/main/tokenizer.json",
    },
}

_snake_case										=       {
    "google/fnet-base": 512,
    "google/fnet-large": 512,
}

_snake_case										=       "▁"







class 						lowercase							(   UpperCamelCase__		):
     _a							 =						VOCAB_FILES_NAMES
     _a							 =						PRETRAINED_VOCAB_FILES_MAP
     _a							 =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     _a							 =						["input_ids", "token_type_ids"]
     _a							 =						FNetTokenizer

     def __init__(  self		,     _a=None		,     _a=None		,     _a=False		,     _a=True		,     _a=True		,     _a="<unk>"		,     _a="[SEP]"		,     _a="<pad>"		,     _a="[CLS]"		,     _a="[MASK]"		,     **_a		,     )						->							Optional[int]:
           # Mask token behave like a normal word, i.e. include the space before it and
           # is included in the raw text, there should be a match in a non-normalized sentence.
           _A							:     int			=						(
               AddedToken(_a		,     lstrip=_a		,     rstrip=_a		,     normalized=_a				)
               if isinstance(_a		,     _a				)
               else mask_token
           )

           super().__init__(
               _a		,     tokenizer_file=_a		,     do_lower_case=_a		,     remove_space=_a		,     keep_accents=_a		,     unk_token=_a		,     sep_token=_a		,     pad_token=_a		,     cls_token=_a		,     mask_token=_a		,     **_a		,     )

           _A							:     Optional[int]			=						do_lower_case
           _A							:     List[Any]			=						remove_space
           _A							:     str			=						keep_accents
           _A							:     int			=						vocab_file
           _A							:     int			=						False if not self.vocab_file else True

     def 					a__	(  self		,     _a		,     _a = None				)						->							List[int]:
           _A							:     str			=						[self.sep_token_id]
           _A							:     Dict			=						[self.cls_token_id]
           if token_ids_a is None:
                 return cls + token_ids_a + sep
           return cls + token_ids_a + sep + token_ids_a + sep

     def 					a__	(  self		,     _a		,     _a = None				)						->							List[int]:
           _A							:     Any			=						[self.sep_token_id]
           _A							:     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				) * [0] + len(token_ids_a + sep				) * [1]



     def 					a__	(  self		,     _a		,     _a = None				)						->							Tuple[str]:
           if not os.path.isdir(_a				):
                 logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''				)
                 return
           _A							:     List[str]			=						os.path.join(
               _a		,     (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]				)

           if os.path.abspath(self.vocab_file				) != os.path.abspath(_a				):
                 copyfile(self.vocab_file		,     _a				)

           return (out_vocab_file,)

