





def 					__SCREAMING_SNAKE_CASE  (							__lowercase:		Tuple):



		'''simple docstring'''






		__lowerCAmelCase			=				word.upper()
		__lowerCAmelCase			=				0
		__lowerCAmelCase			=				{}
		__lowerCAmelCase			=				[]

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


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

						__lowercase													=			time.time()
						with open("""dictionary.txt""") as in_file:
												__lowercase													=			in_file.read().splitlines()

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

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

						__lowercase													=			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.







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   ):






    '''simple docstring'''





    def 	A		(   self						:		int							):

      """simple docstring"""





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





    @require_cpu
    def 	A		(   self						:		str							):

      """simple docstring"""





      debug_launcher(test_sync.main			,						num_processes=1							)





    @require_cpu
    def 	A		(   self						:		List[str]							):

      """simple docstring"""





      debug_launcher(test_sync.main							)





    @require_single_gpu
    def 	A		(   self						:		Optional[Any]							):

      """simple docstring"""





      test_sync.main()





    @require_multi_gpu
    def 	A		(   self						:		Union[str, Any]							):

      """simple docstring"""





      print(f'''Found {torch.cuda.device_count()} devices.'''							)
      __lowerCAmelCase			=				['''torchrun''', f'''--nproc_per_node={torch.cuda.device_count()}''', self.test_file_path]
      with patch_environment(omp_num_threads=1							):
        execute_subprocess_async(snake_case			,						env=os.environ.copy()							)
