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


_lowercase				:   Any   				="""sshleifer/bart-tiny-random"""
_lowercase				:   List[str]   				="""patrickvonplaten/t5-tiny-random"""



@require_torch
class 			SCREAMING_SNAKE_CASE_			(       unittest.TestCase      ):
  '''simple docstring'''


  @cached_property
  def 		SCREAMING_SNAKE_CASE_		(					self     :       List[str]  )     ->					Union[str, Any]:
         return AutoConfig.from_pretrained(A_  )







  def 		SCREAMING_SNAKE_CASE_		(					self     :       Union[str, Any]  )     ->					Dict:
         A    :  Union[str, Any]								=create_student_by_copying_alternating_layers(A_   ,						tempfile.mkdtemp()   ,						e=1   ,						d=1  )
         self.assertEqual(student.config.num_hidden_layers   ,						1  )







  def 		SCREAMING_SNAKE_CASE_		(					self     :       Any  )     ->					Tuple:
         A    :  Any								=create_student_by_copying_alternating_layers(A_   ,						tempfile.mkdtemp()   ,						e=1   ,						d=A_  )







  def 		SCREAMING_SNAKE_CASE_		(					self     :       Union[str, Any]  )     ->					Dict:
         A    :  Union[str, Any]								=create_student_by_copying_alternating_layers(A_   ,						tempfile.mkdtemp()   ,						e=1   ,						d=A_  )
         self.assertEqual(student.config.encoder_layers   ,						1  )
         self.assertEqual(student.config.decoder_layers   ,						self.teacher_config.encoder_layers  )







  def 		SCREAMING_SNAKE_CASE_		(					self     :       Optional[int]  )     ->					Dict:
         A    :  str								=create_student_by_copying_alternating_layers(A_   ,						tempfile.mkdtemp()   ,						e=1   ,						d=1  )
         self.assertEqual(student.config.encoder_layers   ,						1  )
         self.assertEqual(student.config.decoder_layers   ,						1  )







  def 		SCREAMING_SNAKE_CASE_		(					self     :       List[Any]  )     ->					int:




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













from __future__ import annotations

import math



def 						A_							(	_lowerCAmelCase				,  _lowerCAmelCase	)		->					float:
 UpperCamelCase      :   Tuple			      =  u
 for i in range(1				,  _lowerCAmelCase	):
  UpperCamelCase      :   Any			      =  temp * (u - i)
 return temp



def 						A_							(	)		->					None:
 UpperCamelCase      :   Union[str, Any]			      =  int(input("enter the numbers of values: "	)	)
 UpperCamelCase      :   list[list[float]]			      =  []
 for _ in range(_lowerCAmelCase	):
  y.append([]	)
 for i in range(_lowerCAmelCase	):
  for j in range(_lowerCAmelCase	):
   y[i].append(_lowerCAmelCase	)
   UpperCamelCase      :   List[str]			      =  0

 print("enter the values of parameters in a list: "	)
 UpperCamelCase      :   Optional[Any]			      =  list(map(_lowerCAmelCase				,  input().split()	)	)

 print("enter the values of corresponding parameters: "	)
 for i in range(_lowerCAmelCase	):
  UpperCamelCase      :   Tuple			      =  float(input()	)

 UpperCamelCase      :   Any			      =  int(input("enter the value to interpolate: "	)	)
 UpperCamelCase      :   List[Any]			      =  (value - x[0]) / (x[1] - x[0])

 # for calculating forward difference table

 for i in range(1				,  _lowerCAmelCase	):
  for j in range(n - i	):
   UpperCamelCase      :   Optional[Any]			      =  y[j + 1][i - 1] - y[j][i - 1]

 UpperCamelCase      :   List[str]			      =  y[0][0]
 for i in range(1				,  _lowerCAmelCase	):
  summ += (ucal(_lowerCAmelCase				,  _lowerCAmelCase	) * y[0][i]) / math.factorial(_lowerCAmelCase	)

 print(F"""the value at {value} is {summ}"""	)


if __name__ == "__main__":
    main()
