from datetime import date

import requests

lowerCAmelCase__					:       Optional[Any]		=       '''https://api.carbonintensity.org.uk/intensity'''
def 			UpperCamelCase__						(    )       -> str:
				snake_case__ :     Optional[Any] 							=				requests.get(A__   ).json()['data'][0]
				return last_half_hour["intensity"]["actual"]
def 			UpperCamelCase__						(    A__      ,			A__   )       -> list:
				return requests.get(F"""{BASE_URL}/{start}/{end}"""   ).json()["data"]


if __name__ == "__main__":
		for entry in fetch_from_to(start=date(20_20, 10, 1), end=date(20_20, 10, 3)):
				print('''from {from} to {to}: {intensity[actual]}'''.format(**entry))
		print(F'''{fetch_last_half_hour() = }''')



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_multi_gpu,
    require_single_gpu,
    test_sync,
)
from accelerate.utils import patch_environment





class 			__snake_case  (      unittest.TestCase     ):




					def       __a      (       self		)					->  Union[str, Any]:



									'''simple docstring'''







									snake_case__ :     List[Any] 							=				inspect.getfile(accelerate.test_utils		)
									snake_case__ :     Tuple 							=				os.path.sep.join(mod_file.split(os.path.sep		)[:-1] + ['scripts', 'test_sync.py']		)




					@require_cpu
					def       __a      (       self		)					->  int:



									'''simple docstring'''







									debug_launcher(test_sync.main   ,	num_processes=1		)




					@require_cpu
					def       __a      (       self		)					->  Dict:



									'''simple docstring'''







									debug_launcher(test_sync.main		)




					@require_single_gpu
					def       __a      (       self		)					->  int:



									'''simple docstring'''







									test_sync.main()




					@require_multi_gpu
					def       __a      (       self		)					->  str:



									'''simple docstring'''







									print(F"""Found {torch.cuda.device_count()} devices."""		)
									snake_case__ :     Any 							=				['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()		)


