



'''simple docstring'''





import unittest
from dataclasses import dataclass

import pytest

from accelerate.commands.config.config_args import SageMakerConfig
from accelerate.utils import ComputeEnvironment
from accelerate.utils.launch import _convert_nargs_to_dict






@dataclass
class __A			(  A						):



 '''simple docstring'''







 __lowerCamelCase    :       Dict          =       ComputeEnvironment.AMAZON_SAGEMAKER
 __lowerCamelCase    :       str          =       True
 __lowerCamelCase    :       Dict          =       'ml.p3.2xlarge'
 __lowerCamelCase    :       Tuple          =       'accelerate_sagemaker_execution_role'
 __lowerCamelCase    :       int          =       'hf-sm'
 __lowerCamelCase    :       Optional[int]          =       'us-east-1'
 __lowerCamelCase    :       List[Any]          =       1
 __lowerCamelCase    :       str          =       'accelerate-sagemaker-1'
 __lowerCamelCase    :       str          =       '1.6'
 __lowerCamelCase    :       Optional[int]          =       '4.4'
 __lowerCamelCase    :       Optional[int]          =       'train.py'
 __lowerCamelCase    :       List[Any]          =       [
     '--model_name_or_path',
     'bert',
     '--do_train',
     'False',
     '--epochs',
     '3',
     '--learning_rate',
     '5e-5',
     '--max_steps',
     '50.5',
 ]
 __lowerCamelCase    :       Dict          =       [
     '--model_name_or_path',
     'bert',
     '--do_train',
     '--do_test',
     'False',
     '--do_predict',
     '--epochs',
     '3',
     '--learning_rate',
     '5e-5',
     '--max_steps',
     '50.5',
 ]






class __A			(  unittest.TestCase						):



 '''simple docstring'''







 def 					a__  (self       )    ->     Tuple:


      """simple docstring"""



      _a      =  _convert_nargs_to_dict(MockLaunchConfig.success_training_script_args       )
      assert isinstance(converted_args['''model_name_or_path'''] ,   A       )
      assert isinstance(converted_args['''do_train'''] ,   A       )
      assert isinstance(converted_args['''epochs'''] ,   A       )
      assert isinstance(converted_args['''learning_rate'''] ,   A       )
      assert isinstance(converted_args['''max_steps'''] ,   A       )

      with pytest.raises(A       ):
           _convert_nargs_to_dict(MockLaunchConfig.fail_training_script_args       )








'''simple docstring'''





from __future__ import annotations

import math




def lowerCAmelCase  (__A  ,	__A):



     """simple docstring"""



     _a      =  u
     for i in range(1  ,	__A):
          _a      =  temp * (u - i)
     return temp




def lowerCAmelCase  ():



     """simple docstring"""



     _a      =  int(input('''enter the numbers of values: '''))
     _a      =  []
     for _ in range(__A):
          y.append([])
     for i in range(__A):
          for j in range(__A):
               y[i].append(__A)
               _a      =  0

     print('''enter the values of parameters in a list: ''')
     _a      =  list(map(__A  ,	input().split()))

     print('''enter the values of corresponding parameters: ''')
     for i in range(__A):
          _a      =  float(input())

     _a      =  int(input('''enter the value to interpolate: '''))
     _a      =  (value - x[0]) / (x[1] - x[0])

     # for calculating forward difference table

     for i in range(1  ,	__A):
          for j in range(n - i):
               _a      =  y[j + 1][i - 1] - y[j][i - 1]

     _a      =  y[0][0]
     for i in range(1  ,	__A):
          summ += (ucal(__A  ,	__A) * y[0][i]) / math.factorial(__A)

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


if __name__ == "__main__":
  main()



