

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):

  def 	UpperCAmelCase      (			self   ):





        """simple docstring"""







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

  @require_cpu
  def 	UpperCAmelCase      (			self   ):





        """simple docstring"""







        debug_launcher(test_sync.main	,   num_processes=1   )

  @require_cpu
  def 	UpperCAmelCase      (			self   ):





        """simple docstring"""







        debug_launcher(test_sync.main   )

  @require_single_gpu
  def 	UpperCAmelCase      (			self   ):





        """simple docstring"""







        test_sync.main()



  @require_multi_gpu
  def 	UpperCAmelCase      (			self   ):





        """simple docstring"""







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









from collections import defaultdict

def 				A_					(							a					):

      """simple docstring"""



      SCREAMING_SNAKE_CASE_			:					defaultdict[str, int]          =       defaultdict(a					)
      # Creating a dictionary containing count of each word
      for word in sentence.split():
            occurrence[word] += 1
      return occurrence


if __name__ == "__main__":
    for word, count in word_occurrence('INPUT STRING').items():
        print(F'{word}: {count}')






