






'''simple docstring'''







from __future__ import annotations





def  SCREAMING_SNAKE_CASE_       (UpperCamelCase				,			UpperCamelCase				,			UpperCamelCase				,			UpperCamelCase      )      ->       None:
							if (direction == 1 and array[indexa] > array[indexa]) or (
							    direction == 0 and array[indexa] < array[indexa]
							):
														lowerCamelCase__  ,		lowerCamelCase__					:	List[Any]         =       array[indexa], array[indexa]





def  SCREAMING_SNAKE_CASE_       (UpperCamelCase				,			UpperCamelCase				,			UpperCamelCase				,			UpperCamelCase      )      ->       None:
							if length > 1:
														lowerCamelCase__					:	Optional[Any]         =       int(length / 2      )
														for i in range(UpperCamelCase				,			low + middle      ):
																					comp_and_swap(UpperCamelCase				,			UpperCamelCase				,			i + middle				,			UpperCamelCase      )
														bitonic_merge(UpperCamelCase				,			UpperCamelCase				,			UpperCamelCase				,			UpperCamelCase      )
														bitonic_merge(UpperCamelCase				,			low + middle				,			UpperCamelCase				,			UpperCamelCase      )





def  SCREAMING_SNAKE_CASE_       (UpperCamelCase				,			UpperCamelCase				,			UpperCamelCase				,			UpperCamelCase      )      ->       None:
							if length > 1:
														lowerCamelCase__					:	Tuple         =       int(length / 2      )
														bitonic_sort(UpperCamelCase				,			UpperCamelCase				,			UpperCamelCase				,			1      )
														bitonic_sort(UpperCamelCase				,			low + middle				,			UpperCamelCase				,			0      )
														bitonic_merge(UpperCamelCase				,			UpperCamelCase				,			UpperCamelCase				,			UpperCamelCase      )


if __name__ == "__main__":
			_A	:			List[str]         =input('''Enter numbers separated by a comma:\n''').strip()
			_A	:			List[str]         =[int(item.strip()) for item in user_input.split(''',''')]

			bitonic_sort(unsorted, 0, len(unsorted), 1)
			print('''\nSorted array in ascending order is: ''', end='''''')
			print(*unsorted, sep=''', ''')

			bitonic_merge(unsorted, 0, len(unsorted), 0)
			print('''Sorted array in descending order is: ''', end='''''')
			print(*unsorted, sep=''', ''')



import tempfile
import unittest

from make_student import create_student_by_copying_alternating_layers

from transformers import AutoConfig
from transformers.file_utils import cached_property
from transformers.testing_utils import require_torch


__a  			=					'sshleifer/bart-tiny-random'
__a  			=					'patrickvonplaten/t5-tiny-random'
@require_torch
class  lowercase__(				unittest.TestCase							):



	"""simple docstring"""




	@cached_property
	def 						_lowercase  (       self  :			Any       )       ->     Tuple:
					return AutoConfig.from_pretrained(SCREAMING_SNAKE_CASE_       )
	def 						_lowercase  (       self  :			int       )       ->     List[Any]:
					lowercase_  ,	*lowercase_       =					create_student_by_copying_alternating_layers(SCREAMING_SNAKE_CASE_       ,							tempfile.mkdtemp()       ,							e=1       ,							d=1       )
					self.assertEqual(student.config.num_hidden_layers       ,							1       )
	def 						_lowercase  (       self  :			Union[str, Any]       )       ->     Optional[int]:
					lowercase_  ,	*lowercase_       =					create_student_by_copying_alternating_layers(SCREAMING_SNAKE_CASE_       ,							tempfile.mkdtemp()       ,							e=1       ,							d=SCREAMING_SNAKE_CASE_       )
	def 						_lowercase  (       self  :			List[str]       )       ->     List[Any]:
					lowercase_  ,	*lowercase_       =					create_student_by_copying_alternating_layers(SCREAMING_SNAKE_CASE_       ,							tempfile.mkdtemp()       ,							e=1       ,							d=SCREAMING_SNAKE_CASE_       )
					self.assertEqual(student.config.encoder_layers       ,							1       )
					self.assertEqual(student.config.decoder_layers       ,							self.teacher_config.encoder_layers       )
	def 						_lowercase  (       self  :			List[Any]       )       ->     List[Any]:
					lowercase_  ,	*lowercase_       =					create_student_by_copying_alternating_layers(SCREAMING_SNAKE_CASE_       ,							tempfile.mkdtemp()       ,							e=1       ,							d=1       )
					self.assertEqual(student.config.encoder_layers       ,							1       )
					self.assertEqual(student.config.decoder_layers       ,							1       )




	def 						_lowercase  (       self  :			Union[str, Any]       )       ->     Optional[int]:
					with self.assertRaises(SCREAMING_SNAKE_CASE_       ):
									create_student_by_copying_alternating_layers(SCREAMING_SNAKE_CASE_       ,							tempfile.mkdtemp()       ,							e=SCREAMING_SNAKE_CASE_       ,							d=SCREAMING_SNAKE_CASE_       )




