



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 						__magic_name__    (       _snake_case    ):
 UpperCAmelCase							    =						ComputeEnvironment.AMAZON_SAGEMAKER
 UpperCAmelCase							    =						True
 UpperCAmelCase							    =						"""ml.p3.2xlarge"""
 UpperCAmelCase							    =						"""accelerate_sagemaker_execution_role"""
 UpperCAmelCase							    =						"""hf-sm"""
 UpperCAmelCase							    =						"""us-east-1"""
 UpperCAmelCase							    =						1
 UpperCAmelCase							    =						"""accelerate-sagemaker-1"""
 UpperCAmelCase							    =						"""1.6"""
 UpperCAmelCase							    =						"""4.4"""
 UpperCAmelCase							    =						"""train.py"""
 UpperCAmelCase							    =						[
     """--model_name_or_path""",
     """bert""",
     """--do_train""",
     """False""",
     """--epochs""",
     """3""",
     """--learning_rate""",
     """5e-5""",
     """--max_steps""",
     """50.5""",
 ]
 UpperCAmelCase							    =						[
     """--model_name_or_path""",
     """bert""",
     """--do_train""",
     """--do_test""",
     """False""",
     """--do_predict""",
     """--epochs""",
     """3""",
     """--learning_rate""",
     """5e-5""",
     """--max_steps""",
     """50.5""",
 ]






class 						__magic_name__    (       unittest.TestCase    ):


 def _UpperCamelCase	(						self		: Any    )    ->      Tuple:
   # If no defaults are changed, `to_kwargs` returns an empty dict.
   UpperCAmelCase					      =  _convert_nargs_to_dict(MockLaunchConfig.success_training_script_args    )
   assert isinstance(converted_args["model_name_or_path"]			,						lowerCAmelCase__    )
   assert isinstance(converted_args["do_train"]			,						lowerCAmelCase__    )
   assert isinstance(converted_args["epochs"]			,						lowerCAmelCase__    )
   assert isinstance(converted_args["learning_rate"]			,						lowerCAmelCase__    )
   assert isinstance(converted_args["max_steps"]			,						lowerCAmelCase__    )

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






def      _lowerCAmelCase(	__A   ,       __A   ,       __A			):
  if n == 0:
    return 1

  elif n % 2 == 1:
    return (binary_exponentiation(__A   ,       n - 1   ,       __A			) * a) % mod

  else:
    UpperCAmelCase					      =  binary_exponentiation(__A   ,       n / 2   ,       __A			)
    return (b * b) % mod


# a prime number
lowerCAmelCase__       = 701

lowerCAmelCase__       = 1000000000
lowerCAmelCase__       = 10

# using binary exponentiation function, O(log(p)):
print((a / b) % p == (a * binary_exponentiation(b, p - 2, p)) % p)





print((a / b) % p == (a * b ** (p - 2)) % p)



