
def       _lowercase					(      __SCREAMING_SNAKE_CASE				,    __SCREAMING_SNAKE_CASE )	->     int:
			for index, item in enumerate(__SCREAMING_SNAKE_CASE ):
						if item == target:
									return index
			return -1



def       _lowercase					(      __SCREAMING_SNAKE_CASE				,    __SCREAMING_SNAKE_CASE				,    __SCREAMING_SNAKE_CASE				,    __SCREAMING_SNAKE_CASE )	->     int:
			if not (0 <= high < len(__SCREAMING_SNAKE_CASE ) and 0 <= low < len(__SCREAMING_SNAKE_CASE )):
						raise Exception('Invalid upper or lower bound!' )
			if high < low:
						return -1
			if sequence[low] == target:
						return low
			if sequence[high] == target:
						return high
			return rec_linear_search(__SCREAMING_SNAKE_CASE				,    low + 1				,    high - 1				,    __SCREAMING_SNAKE_CASE )


if __name__ == "__main__":
							UpperCAmelCase__				:  str       					=				input('''Enter numbers separated by comma:\n''').strip()
							UpperCAmelCase__				:  Optional[Any]       					=				[int(item.strip()) for item in user_input.split(''',''')]

							UpperCAmelCase__				:  Dict       					=				int(input('''Enter a single number to be found in the list:\n''').strip())
							UpperCAmelCase__				:  Optional[Any]       					=				linear_search(sequence, target)
							if result != -1:
														print(f'''linear_search({sequence}, {target}) = {result}''')
							else:
														print(f'''{target} was not found in {sequence}''')





from typing import TYPE_CHECKING

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


UpperCAmelCase__				:  str       					=				{
    '''configuration_mobilevitv2''': [
        '''MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''MobileViTV2Config''',
        '''MobileViTV2OnnxConfig''',
    ],
}


try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__				:  List[Any]       					=				[
							    '''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

							UpperCAmelCase__				:  List[str]       					=				_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



