

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 	UpperCAmelCase__		(	SCREAMING_SNAKE_CASE__	):






  """simple docstring"""


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






class 	UpperCAmelCase__		(	unittest.TestCase	):






  """simple docstring"""


  def 				lowercase_		(							self						:		Union[str, Any] )		->							Any:
       # If no defaults are changed, `to_kwargs` returns an empty dict.
       SCREAMING_SNAKE_CASE__   =   _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 )







from __future__ import annotations

import time
from collections.abc import Sequence
from random import randint

from matplotlib import pyplot as plt
def     UpperCAmelCase_       (						_A				,		_A				,		_A    ):





     '''simple docstring'''




     if not arr:
          return None, None, 0
     if low == high:
          return low, high, arr[low]

     SCREAMING_SNAKE_CASE__   =   (low + high) // 2
     SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__   =   max_subarray(_A				,		_A				,		_A    )
     SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__   =   max_subarray(_A				,		mid + 1				,		_A    )
     SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__   =   max_cross_sum(_A				,		_A				,		_A				,		_A    )
     if left_sum >= right_sum and left_sum >= cross_sum:
          return left_low, left_high, left_sum
     elif right_sum >= left_sum and right_sum >= cross_sum:
          return right_low, right_high, right_sum
     return cross_left, cross_right, cross_sum
def     UpperCAmelCase_       (						_A				,		_A				,		_A				,		_A    ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__   =   float('''-inf'''    ), -1
     SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__   =   float('''-inf'''    ), -1

     SCREAMING_SNAKE_CASE__   =   0
     for i in range(_A				,		low - 1				,		-1    ):
          summ += arr[i]
          if summ > left_sum:
               SCREAMING_SNAKE_CASE__   =   summ
               SCREAMING_SNAKE_CASE__   =   i

     SCREAMING_SNAKE_CASE__   =   0
     for i in range(mid + 1				,		high + 1    ):
          summ += arr[i]
          if summ > right_sum:
               SCREAMING_SNAKE_CASE__   =   summ
               SCREAMING_SNAKE_CASE__   =   i

     return max_left, max_right, (left_sum + right_sum)
def     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__   =   [randint(1				,		_A    ) for _ in range(_A    )]
     SCREAMING_SNAKE_CASE__   =   time.time()
     max_subarray(_A				,		0				,		input_size - 1    )
     SCREAMING_SNAKE_CASE__   =   time.time()
     return end - start
def     UpperCAmelCase_       (						):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__   =   [10, 1_00, 10_00, 1_00_00, 5_00_00, 10_00_00, 20_00_00, 30_00_00, 40_00_00, 50_00_00]
     SCREAMING_SNAKE_CASE__   =   [time_max_subarray(_A    ) for input_size in input_sizes]
     print('''No of Inputs\t\tTime Taken'''    )
     for input_size, runtime in zip(_A				,		_A    ):
          print(_A				,		'''\t\t'''				,		_A    )
     plt.plot(_A				,		_A    )
     plt.xlabel('''Number of Inputs'''    )
     plt.ylabel('''Time taken in seconds'''    )
     plt.show()


if __name__ == "__main__":
       from doctest import testmod

       testmod()


