




"""simple docstring"""





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   a__					(						unittest.TestCase ):


			@cached_property
			def    a_  (   self   :     Optional[int]):


						"""simple docstring"""




						return AutoConfig.from_pretrained(UpperCamelCase_)


			def    a_  (   self   :     Tuple):


						"""simple docstring"""




						__UpperCAmelCase						,  *__UpperCAmelCase						:			Any												=       create_student_by_copying_alternating_layers(UpperCamelCase_   ,	tempfile.mkdtemp()   ,	e=1   ,	d=1)
						self.assertEqual(student.config.num_hidden_layers   ,	1)


			def    a_  (   self   :     int):


						"""simple docstring"""




						__UpperCAmelCase						,  *__UpperCAmelCase						:			str												=       create_student_by_copying_alternating_layers(UpperCamelCase_   ,	tempfile.mkdtemp()   ,	e=1   ,	d=UpperCamelCase_)


			def    a_  (   self   :     Optional[int]):


						"""simple docstring"""




						__UpperCAmelCase						,  *__UpperCAmelCase						:			List[Any]												=       create_student_by_copying_alternating_layers(UpperCamelCase_   ,	tempfile.mkdtemp()   ,	e=1   ,	d=UpperCamelCase_)
						self.assertEqual(student.config.encoder_layers   ,	1)
						self.assertEqual(student.config.decoder_layers   ,	self.teacher_config.encoder_layers)


			def    a_  (   self   :     Any):


						"""simple docstring"""




						__UpperCAmelCase						,  *__UpperCAmelCase						:			int												=       create_student_by_copying_alternating_layers(UpperCamelCase_   ,	tempfile.mkdtemp()   ,	e=1   ,	d=1)
						self.assertEqual(student.config.encoder_layers   ,	1)
						self.assertEqual(student.config.decoder_layers   ,	1)


			def    a_  (   self   :     Optional[Any]):


						"""simple docstring"""




						with self.assertRaises(UpperCamelCase_):
									create_student_by_copying_alternating_layers(UpperCamelCase_   ,	tempfile.mkdtemp()   ,	e=UpperCamelCase_   ,	d=UpperCamelCase_)








from bisect import bisect
from itertools import accumulate





def 						__A						(      __lowerCamelCase				,     __lowerCamelCase				,     __lowerCamelCase				,     __lowerCamelCase       ) ->			Dict:
	a									=				sorted(zip(__lowerCamelCase				,     __lowerCamelCase       )				,     key=lambda __lowerCamelCase       : x[0] / x[1]				,     reverse=__lowerCamelCase       )
	a							,					a									=				[i[0] for i in r], [i[1] for i in r]
	a									=				list(accumulate(__lowerCamelCase       )       )
	a									=				bisect(__lowerCamelCase				,     __lowerCamelCase       )
	return (
	    0
	    if k == 0
	    else sum(vl[:k]       ) + (w - acc[k - 1]) * (vl[k]) / (wt[k])
	    if k != n
	    else sum(vl[:k]       )
	)


if __name__ == "__main__":
		import doctest

		doctest.testmod()

