



"""simple docstring"""






lowerCAmelCase__              =							0  # The first color of the flag.
lowerCAmelCase__              =							1  # The second color of the flag.
lowerCAmelCase__              =							2  # The third color of the flag.
lowerCAmelCase__              =							(red, white, blue)






def 			snake_case_    ( A_   :						list		):


       '''simple docstring'''





       if not sequence:
              return []
       if len(A_		) == 1:
              return list(A_		)
       _lowerCamelCase		:							List[str]            =					0
       _lowerCamelCase		:							Tuple            =					len(A_		) - 1
       _lowerCamelCase		:							List[str]            =					0
       while mid <= high:
              if sequence[mid] == colors[0]:
                     _lowerCamelCase     ,       _lowerCamelCase		:							int            =					sequence[mid], sequence[low]
                     low += 1
                     mid += 1
              elif sequence[mid] == colors[1]:
                     mid += 1
              elif sequence[mid] == colors[2]:
                     _lowerCamelCase     ,       _lowerCamelCase		:							Optional[int]            =					sequence[high], sequence[mid]
                     high -= 1
              else:
                     _lowerCamelCase		:							List[Any]            =					F'''The elements inside the sequence must contains only {colors} values'''
                     raise ValueError(A_		)
       return sequence


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   lowerCAmelCase__              =							input('''Enter numbers separated by commas:\n''').strip()
   lowerCAmelCase__              =							[int(item.strip()) for item in user_input.split(''',''')]
   print(F"""{dutch_national_flag_sort(unsorted)}""")




'''simple docstring'''



from .testing import (
    are_the_same_tensors,
    execute_subprocess_async,
    require_bnb,
    require_cpu,
    require_cuda,
    require_huggingface_suite,
    require_mps,
    require_multi_gpu,
    require_multi_xpu,
    require_safetensors,
    require_single_gpu,
    require_single_xpu,
    require_torch_min_version,
    require_tpu,
    require_xpu,
    skip,
    slow,
)
from .training import RegressionDataset, RegressionModel, RegressionModelaXPU


from .scripts import test_script, test_sync, test_ops  # isort: skip
