


"""simple docstring"""


import math



def   snake_case						(				_a:     list		,   _a:     int = 0		,   _a:     int = 0							)->		list:
      '''simple docstring'''


      lowerCamelCase__           =		end or len(_a							)
      for i in range(_a		,   _a							):
            lowerCamelCase__           =		i
            lowerCamelCase__           =		array[i]
            while temp_index != start and temp_index_value < array[temp_index - 1]:
                  lowerCamelCase__           =		array[temp_index - 1]
                  temp_index -= 1
            lowerCamelCase__           =		temp_index_value
      return array



def   snake_case						(				_a:     list		,   _a:     int		,   _a:     int							)->		None:  # Max Heap
      '''simple docstring'''


      lowerCamelCase__           =		index
      lowerCamelCase__           =		2 * index + 1  # Left Node
      lowerCamelCase__           =		2 * index + 2  # Right Node

      if left_index < heap_size and array[largest] < array[left_index]:
            lowerCamelCase__           =		left_index

      if right_index < heap_size and array[largest] < array[right_index]:
            lowerCamelCase__           =		right_index

      if largest != index:
            lowerCamelCase__    ,  lowerCamelCase__           =		array[largest], array[index]
            heapify(_a		,   _a		,   _a							)



def   snake_case						(				_a:     list							)->		list:
      '''simple docstring'''


      lowerCamelCase__           =		len(_a							)

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

      for i in range(n - 1		,   0		,   -1							):
            lowerCamelCase__    ,  lowerCamelCase__           =		array[0], array[i]
            heapify(_a		,   0		,   _a							)

      return array



def   snake_case						(				_a:     list		,   _a:     int		,   _a:     int		,   _a:     int							)->		int:
      '''simple docstring'''


      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   snake_case						(				_a:     list		,   _a:     int		,   _a:     int		,   _a:     int							)->		int:
      '''simple docstring'''


      lowerCamelCase__           =		low
      lowerCamelCase__           =		high
      while True:
            while array[i] < pivot:
                  i += 1
            j -= 1
            while pivot < array[j]:
                  j -= 1
            if i >= j:
                  return i
            lowerCamelCase__    ,  lowerCamelCase__           =		array[j], array[i]
            i += 1



def   snake_case						(				_a:     list							)->		list:
      '''simple docstring'''


      if len(_a							) == 0:
            return array
      lowerCamelCase__           =		2 * math.ceil(math.loga(len(_a							)							)							)
      lowerCamelCase__           =		16
      return intro_sort(_a		,   0		,   len(_a							)		,   _a		,   _a							)



def   snake_case						(				_a:     list		,   _a:     int		,   _a:     int		,   _a:     int		,   _a:     int							)->		list:
      '''simple docstring'''


      while end - start > size_threshold:
            if max_depth == 0:
                  return heap_sort(_a							)
            max_depth -= 1
            lowerCamelCase__           =		median_of_a(_a		,   _a		,   start + ((end - start) // 2) + 1		,   end - 1							)
            lowerCamelCase__           =		partition(_a		,   _a		,   _a		,   _a							)
            intro_sort(_a		,   _a		,   _a		,   _a		,   _a							)
            lowerCamelCase__           =		p
      return insertion_sort(_a		,   _a		,   _a							)


if __name__ == "__main__":
   import doctest

   doctest.testmod()

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









"""simple docstring"""


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


_snake_case          =							{
    "configuration_blenderbot": [
        "BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BlenderbotConfig",
        "BlenderbotOnnxConfig",
    ],
    "tokenization_blenderbot": ["BlenderbotTokenizer"],
}

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _snake_case          =							["BlenderbotTokenizerFast"]

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _snake_case          =							[
       "BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST",
       "BlenderbotForCausalLM",
       "BlenderbotForConditionalGeneration",
       "BlenderbotModel",
       "BlenderbotPreTrainedModel",
   ]


try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _snake_case          =							[
       "TFBlenderbotForConditionalGeneration",
       "TFBlenderbotModel",
       "TFBlenderbotPreTrainedModel",
   ]


try:
   if not is_flax_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _snake_case          =							[
       "FlaxBlenderbotForConditionalGeneration",
       "FlaxBlenderbotModel",
       "FlaxBlenderbotPreTrainedModel",
   ]


if TYPE_CHECKING:
   from .configuration_blenderbot import (
       BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP,
       BlenderbotConfig,
       BlenderbotOnnxConfig,
   )
   from .tokenization_blenderbot import BlenderbotTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_blenderbot_fast import BlenderbotTokenizerFast

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_blenderbot import (
          BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST,
          BlenderbotForCausalLM,
          BlenderbotForConditionalGeneration,
          BlenderbotModel,
          BlenderbotPreTrainedModel,
      )

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_blenderbot import (
          TFBlenderbotForConditionalGeneration,
          TFBlenderbotModel,
          TFBlenderbotPreTrainedModel,
      )

   try:
      if not is_flax_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_flax_blenderbot import (
          FlaxBlenderbotForConditionalGeneration,
          FlaxBlenderbotModel,
          FlaxBlenderbotPreTrainedModel,
      )

else:
   import sys

   _snake_case          =							_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



