



from __future__ import annotations

def   SCREAMING_SNAKE_CASE_       (  _snake_case  :Union[str, Any]  ,      _snake_case  :str							)     ->    str:
   _A						     =					0
   _A						     =					len(_snake_case							) - 1
   while left <= right:
      _A						     =					(left + right) // 2
      if left == right:
         if sorted_list[middle] < item:
            _A						     =					middle + 1
         break
      elif sorted_list[middle] < item:
         _A						     =					middle + 1
      else:
         _A						     =					middle - 1
   sorted_list.insert(_snake_case  ,      _snake_case							)
   return sorted_list

def   SCREAMING_SNAKE_CASE_       (  _snake_case  :Union[str, Any]  ,      _snake_case  :List[str]							)     ->    str:
   _A						     =					[]
   while left and right:
      if left[0][0] < right[0][0]:
         result.append(left.pop(0							)							)
      else:
         result.append(right.pop(0							)							)
   return result + left + right

def   SCREAMING_SNAKE_CASE_       (  _snake_case  :Any							)     ->    Any:
   _A						     =					len(_snake_case							)
   if length <= 1:
      return list_ad
   _A						     =					length // 2
   return merge(sortlist_ad(list_ad[:middle]							)  ,      sortlist_ad(list_ad[middle:]							)							)

def   SCREAMING_SNAKE_CASE_       (  _snake_case  :list[int]							)     ->    list[int]:

   if len(_snake_case							) <= 1:
      return collection
   _A						     =					[]
   _A						     =					False
   for i in range(0  ,      len(_snake_case							)  ,      2							):
      if i == len(_snake_case							) - 1:
         _A						     =					True
      else:
         if collection[i] < collection[i + 1]:
            two_paired_list.append([collection[i], collection[i + 1]]							)
         else:
            two_paired_list.append([collection[i + 1], collection[i]]							)
   _A						     =					sortlist_ad(_snake_case							)
   _A						     =					[i[0] for i in sorted_list_ad]
   result.append(sorted_list_ad[-1][1]							)
   if has_last_odd_item:
      _A						     =					collection[-1]
      _A						     =					binary_search_insertion(_snake_case  ,      _snake_case							)
   _A						     =					False
   for i in range(len(_snake_case							) - 1							):
      if result[i] == collection[-1] and has_last_odd_item:
         _A						     =					True
      _A						     =					sorted_list_ad[i][1]
      # If last_odd_item is inserted before the item's index,
      # you should forward index one more.
      if is_last_odd_item_inserted_before_this_index:
         _A						     =					result[: i + 2] + binary_search_insertion(result[i + 2 :]  ,      _snake_case							)
      else:
         _A						     =					result[: i + 1] + binary_search_insertion(result[i + 1 :]  ,      _snake_case							)

   return result


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








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_torch_available


UpperCAmelCase_		   =				{
    """configuration_xlm_prophetnet""": ["""XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP""", """XLMProphetNetConfig"""],
}

try:
   if not is_sentencepiece_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase_		   =				["""XLMProphetNetTokenizer"""]

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase_		   =				[
       """XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """XLMProphetNetDecoder""",
       """XLMProphetNetEncoder""",
       """XLMProphetNetForCausalLM""",
       """XLMProphetNetForConditionalGeneration""",
       """XLMProphetNetModel""",
       """XLMProphetNetPreTrainedModel""",
   ]


if TYPE_CHECKING:
   from .configuration_xlm_prophetnet import XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, XLMProphetNetConfig

   try:
      if not is_sentencepiece_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_xlm_prophetnet import XLMProphetNetTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_xlm_prophetnet import (
          XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
          XLMProphetNetDecoder,
          XLMProphetNetEncoder,
          XLMProphetNetForCausalLM,
          XLMProphetNetForConditionalGeneration,
          XLMProphetNetModel,
          XLMProphetNetPreTrainedModel,
      )

else:
   import sys

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



