
from math import pow, sqrt




def 				a						(							*snake_case__:					float					):


				'''simple docstring'''
				lowercase_       =					len(snake_case__					) > 0 and all(value > 0.0 for value in values					)
				return result




def 				a						(							snake_case__:					float						,   snake_case__:					float					):


				'''simple docstring'''
				return (
				    round(sqrt(molar_mass_a / molar_mass_a					)						,   6					)
				    if validate(snake_case__						,   snake_case__					)
				    else ValueError('''Input Error: Molar mass values must greater than 0.'''					)
				)




def 				a						(							snake_case__:					float						,   snake_case__:					float						,   snake_case__:					float					):


				'''simple docstring'''
				return (
				    round(effusion_rate * sqrt(molar_mass_a / molar_mass_a					)						,   6					)
				    if validate(snake_case__						,   snake_case__						,   snake_case__					)
				    else ValueError(
				        '''Input Error: Molar mass and effusion rate values must greater than 0.'''					)
				)




def 				a						(							snake_case__:					float						,   snake_case__:					float						,   snake_case__:					float					):


				'''simple docstring'''
				return (
				    round(effusion_rate / sqrt(molar_mass_a / molar_mass_a					)						,   6					)
				    if validate(snake_case__						,   snake_case__						,   snake_case__					)
				    else ValueError(
				        '''Input Error: Molar mass and effusion rate values must greater than 0.'''					)
				)




def 				a						(							snake_case__:					float						,   snake_case__:					float						,   snake_case__:					float					):


				'''simple docstring'''
				return (
				    round(molar_mass / pow(effusion_rate_a / effusion_rate_a						,   2					)						,   6					)
				    if validate(snake_case__						,   snake_case__						,   snake_case__					)
				    else ValueError(
				        '''Input Error: Molar mass and effusion rate values must greater than 0.'''					)
				)




def 				a						(							snake_case__:					float						,   snake_case__:					float						,   snake_case__:					float					):


				'''simple docstring'''
				return (
				    round(pow(effusion_rate_a / effusion_rate_a						,   2					) / molar_mass						,   6					)
				    if validate(snake_case__						,   snake_case__						,   snake_case__					)
				    else ValueError(
				        '''Input Error: Molar mass and effusion rate values must greater than 0.'''					)
				)






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_       )




