





'''simple docstring'''

import math







def 							UpperCAmelCase_    (	lowerCAmelCase_		,							lowerCAmelCase_ = 0		,							lowerCAmelCase_ = 0							):

				"""simple docstring"""






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







def 							UpperCAmelCase_    (	lowerCAmelCase_		,							lowerCAmelCase_		,							lowerCAmelCase_							):  # Max Heap

				"""simple docstring"""






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

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

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

				if largest != index:
								lowercase   ,							lowercase         = array[largest], array[index]
								heapify(lowerCAmelCase_		,							lowerCAmelCase_		,							lowerCAmelCase_							)







def 							UpperCAmelCase_    (	lowerCAmelCase_							):

				"""simple docstring"""






				lowercase         = len(lowerCAmelCase_							)

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

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

				return array







def 							UpperCAmelCase_    (	lowerCAmelCase_		,							lowerCAmelCase_		,							lowerCAmelCase_		,							lowerCAmelCase_							):

				"""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 							UpperCAmelCase_    (	lowerCAmelCase_		,							lowerCAmelCase_		,							lowerCAmelCase_		,							lowerCAmelCase_							):

				"""simple docstring"""






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







def 							UpperCAmelCase_    (	lowerCAmelCase_							):

				"""simple docstring"""






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







def 							UpperCAmelCase_    (	lowerCAmelCase_		,							lowerCAmelCase_		,							lowerCAmelCase_		,							lowerCAmelCase_		,							lowerCAmelCase_							):

				"""simple docstring"""






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


if __name__ == "__main__":
			import doctest

			doctest.testmod()

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











'''simple docstring'''

from argparse import ArgumentParser

from . import BaseTransformersCLICommand







def 							UpperCAmelCase_    (	lowerCAmelCase_							):

				"""simple docstring"""






				return DownloadCommand(args.model		,							args.cache_dir		,							args.force		,							args.trust_remote_code							)


class       UpperCAmelCase (						_lowercase  ):




		@staticmethod
		def 				UpperCAmelCase__   (A__      :	ArgumentParser				)					-> List[Any]:
						lowercase         = parser.add_parser("download"				)
						download_parser.add_argument(
						    "--cache-dir"							,			type=A__							,			default=A__							,			help="Path to location to store the models"				)
						download_parser.add_argument(
						    "--force"							,			action="store_true"							,			help="Force the model to be download even if already in cache-dir"				)
						download_parser.add_argument(
						    "--trust-remote-code"							,			action="store_true"							,			help="Whether or not to allow for custom models defined on the Hub in their own modeling files. Use only if you've reviewed the code as it will execute on your local machine"							,			)
						download_parser.add_argument("model"							,			type=A__							,			help="Name of the model to download"				)
						download_parser.set_defaults(func=A__				)




		def __init__(self      :	Tuple							,			A__      :	str							,			A__      :	str							,			A__      :	bool							,			A__      :	bool				)					-> str:
						lowercase         = model
						lowercase         = cache
						lowercase         = force
						lowercase         = trust_remote_code





		def 				UpperCAmelCase__   (self      :	Union[str, Any]				)					-> Dict:
						from ..models.auto import AutoModel, AutoTokenizer

						AutoModel.from_pretrained(
						    self._model							,			cache_dir=self._cache							,			force_download=self._force							,			trust_remote_code=self._trust_remote_code				)
						AutoTokenizer.from_pretrained(
						    self._model							,			cache_dir=self._cache							,			force_download=self._force							,			trust_remote_code=self._trust_remote_code				)




