
def 				SCREAMING_SNAKE_CASE     (      __UpperCamelCase :						int = 10							,						__UpperCamelCase :						int = 10_00							,						__UpperCamelCase :						bool = True       ) ->       int:

				"""simple docstring"""







				assert (
				    isinstance(__UpperCamelCase							,						__UpperCamelCase       )
				    and isinstance(__UpperCamelCase							,						__UpperCamelCase       )
				    and isinstance(__UpperCamelCase							,						__UpperCamelCase       )
				), "Invalid type of value(s) specified to function!"

				if min_val > max_val:
								raise ValueError('''Invalid value for min_val or max_val (min_value < max_value)'''       )
				return min_val if option else max_val

def 				SCREAMING_SNAKE_CASE     (      __UpperCamelCase :						int							,						__UpperCamelCase :						int       ) ->       int:

				"""simple docstring"""







				return int((number_a + number_a) / 2       )

def 				SCREAMING_SNAKE_CASE     (      __UpperCamelCase :						int							,						__UpperCamelCase :						int							,						__UpperCamelCase :						int       ) ->       None:

				"""simple docstring"""







				assert (
				    isinstance(__UpperCamelCase							,						__UpperCamelCase       ) and isinstance(__UpperCamelCase							,						__UpperCamelCase       ) and isinstance(__UpperCamelCase							,						__UpperCamelCase       )
				), 'argument values must be type of "int"'

				if lower > higher:
								raise ValueError('''argument value for lower and higher must be(lower > higher)'''       )

				if not lower < to_guess < higher:
								raise ValueError(
								    '''guess value must be within the range of lower and higher value'''       )

				def answer(__UpperCamelCase :						int       ) -> str:
								if number > to_guess:
												return "high"
								elif number < to_guess:
												return "low"
								else:
												return "same"

				print('''started...'''       )

				A__  :	List[str]         =							lower
				A__  :	List[Any]         =							higher

				A__  :	List[Any]         =							[]

				while True:
								A__  :	Tuple         =							get_avg(__UpperCamelCase							,						__UpperCamelCase       )
								last_numbers.append(__UpperCamelCase       )

								if answer(__UpperCamelCase       ) == "low":
												A__  :	int         =							number
								elif answer(__UpperCamelCase       ) == "high":
												A__  :	int         =							number
								else:
												break

				print(F"guess the number : {last_numbers[-1]}"       )
				print(F"details : {last_numbers!s}"       )

def 				SCREAMING_SNAKE_CASE     (      ) ->       None:

				"""simple docstring"""







				A__  :	Optional[int]         =							int(input('''Enter lower value : '''       ).strip()       )
				A__  :	Tuple         =							int(input('''Enter high value : '''       ).strip()       )
				A__  :	Optional[Any]         =							int(input('''Enter value to guess : '''       ).strip()       )
				guess_the_number(__UpperCamelCase							,						__UpperCamelCase							,						__UpperCamelCase       )


if __name__ == "__main__":
					main()

import inspect
import os
import unittest

import torch

import accelerate
from accelerate import debug_launcher
from accelerate.test_utils import (
    execute_subprocess_async,
    require_cpu,
    require_huggingface_suite,
    require_multi_gpu,
    require_single_gpu,
)
from accelerate.utils import patch_environment







@require_huggingface_suite
class  UpperCamelCase__		(    unittest.TestCase   ):







	'''simple docstring'''





	def   __snake_case				(			self		):
					A__  :	Dict         =							inspect.getfile(accelerate.test_utils		)
					A__  :	Any         =							os.path.sep.join(
					    mod_file.split(os.path.sep		)[:-1] + ['''scripts''', '''external_deps''', '''test_metrics.py''']		)

					from accelerate.test_utils.scripts.external_deps import test_metrics  # noqa: F401

					A__  :	Tuple         =							test_metrics





	@require_cpu
	def   __snake_case				(			self		):
					debug_launcher(self.test_metrics.main				,       num_processes=1		)





	@require_cpu
	def   __snake_case				(			self		):
					debug_launcher(self.test_metrics.main		)





	@require_single_gpu
	def   __snake_case				(			self		):
					self.test_metrics.main()





	@require_multi_gpu
	def   __snake_case				(			self		):
					print(F"Found {torch.cuda.device_count()} devices."		)
					A__  :	int         =							['''torchrun''', F"--nproc_per_node={torch.cuda.device_count()}", self.test_file_path]
					with patch_environment(omp_num_threads=1		):
									execute_subprocess_async(UpperCamelCase__				,       env=os.environ.copy()		)