
def 						lowerCAmelCase_		(      _snake_case   :						str     )       ->	int:







	'''simple docstring'''


	__magic_name__	:	Tuple			     =  str(_snake_case     ).strip()
	if not oct_string:
		raise ValueError("Empty string was passed to the function"     )
	__magic_name__	:	List[str]			     =  oct_string[0] == "-"
	if is_negative:
		__magic_name__	:	Union[str, Any]			     =  oct_string[1:]
	if not oct_string.isdigit() or not all(0 <= int(_snake_case     ) <= 7 for char in oct_string     ):
		raise ValueError("Non-octal value was passed to the function"     )
	__magic_name__	:	Any			     =  0
	for char in oct_string:
		__magic_name__	:	Union[str, Any]			     =  8 * decimal_number + int(_snake_case     )
	if is_negative:
		__magic_name__	:	str			     =  -decimal_number
	return decimal_number


if __name__ == "__main__":
				from doctest import testmod

				testmod()


from typing import TYPE_CHECKING

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


snake_case				:	Optional[int]							   =						{
    "configuration_mobilevitv2": [
        "MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "MobileViTV2Config",
        "MobileViTV2OnnxConfig",
    ],
}


try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				snake_case				:	Optional[int]							   =						[
				    "MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST",
				    "MobileViTV2ForImageClassification",
				    "MobileViTV2ForSemanticSegmentation",
				    "MobileViTV2Model",
				    "MobileViTV2PreTrainedModel",
				]

if TYPE_CHECKING:
				from .configuration_mobilevitva import (
				    MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
				    MobileViTVaConfig,
				    MobileViTVaOnnxConfig,
				)

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_mobilevitva import (
								    MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
								    MobileViTVaForImageClassification,
								    MobileViTVaForSemanticSegmentation,
								    MobileViTVaModel,
								    MobileViTVaPreTrainedModel,
								)

else:
				import sys

				snake_case				:	Tuple							   =						_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
