

def        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__      )  ->					int:

	if not isinstance(lowerCamelCase__     ,			lowerCamelCase__      ):
		raise ValueError('multiplicative_persistence() only accepts integral values'      )
	if num < 0:
		raise ValueError('multiplicative_persistence() does not accept negative values'      )

	__lowerCamelCase    :    Optional[int] 	=			0
	__lowerCamelCase    :    Union[str, Any] 	=			str(lowerCamelCase__      )

	while len(lowerCamelCase__      ) != 1:
		__lowerCamelCase    :    Tuple 	=			[int(lowerCamelCase__      ) for i in num_string]

		__lowerCamelCase    :    Optional[int] 	=			1
		for i in range(0     ,			len(lowerCamelCase__      )      ):
			total *= numbers[i]

		__lowerCamelCase    :    List[str] 	=			str(lowerCamelCase__      )

		steps += 1
	return steps






def        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__      )  ->					int:

	if not isinstance(lowerCamelCase__     ,			lowerCamelCase__      ):
		raise ValueError('additive_persistence() only accepts integral values'      )
	if num < 0:
		raise ValueError('additive_persistence() does not accept negative values'      )

	__lowerCamelCase    :    Tuple 	=			0
	__lowerCamelCase    :    Tuple 	=			str(lowerCamelCase__      )

	while len(lowerCamelCase__      ) != 1:
		__lowerCamelCase    :    List[Any] 	=			[int(lowerCamelCase__      ) for i in num_string]

		__lowerCamelCase    :    Optional[Any] 	=			0
		for i in range(0     ,			len(lowerCamelCase__      )      ):
			total += numbers[i]

		__lowerCamelCase    :    str 	=			str(lowerCamelCase__      )

		steps += 1
	return steps


if __name__ == "__main__":
					import doctest

					doctest.testmod()







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


a		={
    """configuration_mask2former""": [
        """MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """Mask2FormerConfig""",
    ],
}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					a		=["""Mask2FormerImageProcessor"""]

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					a		=[
					    """MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """Mask2FormerForUniversalSegmentation""",
					    """Mask2FormerModel""",
					    """Mask2FormerPreTrainedModel""",
					]

if TYPE_CHECKING:
					from .configuration_maskaformer import MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskaFormerConfig

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .image_processing_maskaformer import MaskaFormerImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_maskaformer import (
										    MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
										    MaskaFormerForUniversalSegmentation,
										    MaskaFormerModel,
										    MaskaFormerPreTrainedModel,
										)


else:
					import sys

					a		=_LazyModule(__name__, globals()["""__file__"""], _import_structure)




