




'''simple docstring'''






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    A						(					unittest.TestCase						):




				'''simple docstring'''





				def 			a_			(self     )      ->			Tuple:
							__UpperCamelCase :     Optional[int]										=  inspect.getfile(accelerate.test_utils     )
							__UpperCamelCase :     int										=  os.path.sep.join(mod_file.split(os.path.sep     )[:-1] + ["scripts", "test_sync.py"]     )
				@require_cpu
				def 			a_			(self     )      ->			Tuple:
							debug_launcher(test_sync.main					,    num_processes=1     )
				@require_cpu
				def 			a_			(self     )      ->			Dict:
							debug_launcher(test_sync.main     )
				@require_single_gpu
				def 			a_			(self     )      ->			Optional[Any]:
							test_sync.main()





				@require_multi_gpu
				def 			a_			(self     )      ->			List[str]:
							print(f"Found {torch.cuda.device_count()} devices."     )
							__UpperCamelCase :     Dict										=  ["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()     )









'''simple docstring'''






def      __lowerCAmelCase   (       snake_case__		):
			__UpperCamelCase :     int										=  word.upper()
			__UpperCamelCase :     List[str]										=  0
			__UpperCamelCase :     int										=  {}
			__UpperCamelCase :     Tuple										=  []

			for letter in word:
						if letter not in letter_nums:
									__UpperCamelCase :     Tuple										=  str(snake_case__		)
									next_num += 1
						word_pattern.append(letter_nums[letter]		)
			return ".".join(snake_case__		)


if __name__ == "__main__":
				import pprint
				import time

				_lowerCAmelCase       =   time.time()
				with open('''dictionary.txt''') as in_file:
								_lowerCAmelCase       =   in_file.read().splitlines()

				_lowerCAmelCase       =   {}
				for word in word_list:
								_lowerCAmelCase       =   get_word_pattern(word)
								if pattern in all_patterns:
												all_patterns[pattern].append(word)
								else:
												_lowerCAmelCase       =   [word]

				with open('''word_patterns.txt''', '''w''') as out_file:
								out_file.write(pprint.pformat(all_patterns))

				_lowerCAmelCase       =   round(time.time() - start_time, 2)
				print(f'Done!  {len(all_patterns):,} word patterns found in {total_time} seconds.')
				# Done!  9,581 word patterns found in 0.58 seconds.



