
"""simple docstring"""





def 						_lowerCAmelCase				(				UpperCamelCase_  ,				UpperCamelCase_				):
		_validate_point(UpperCamelCase_				)
		_validate_point(UpperCamelCase_				)
		if len(UpperCamelCase_				) != len(UpperCamelCase_				):
				raise ValueError("""Both points must be in the same n-dimensional space"""				)

		return float(sum(abs(a - b				) for a, b in zip(UpperCamelCase_  ,				UpperCamelCase_				)				)				)



def 						_lowerCAmelCase				(				UpperCamelCase_				):
		if point:
				if isinstance(UpperCamelCase_  ,				UpperCamelCase_				):
						for item in point:
								if not isinstance(UpperCamelCase_  ,				(int, float)				):
										__SCREAMING_SNAKE_CASE            = (
										    """Expected a list of numbers as input, found """
										    f"{type(UpperCamelCase_				).__name__}"
										)
										raise TypeError(UpperCamelCase_				)
				else:
						__SCREAMING_SNAKE_CASE            = f"Expected a list of numbers as input, found {type(UpperCamelCase_				).__name__}"
						raise TypeError(UpperCamelCase_				)
		else:
				raise ValueError("""Missing an input"""				)



def 						_lowerCAmelCase				(				UpperCamelCase_  ,				UpperCamelCase_				):
		_validate_point(UpperCamelCase_				)
		_validate_point(UpperCamelCase_				)
		if len(UpperCamelCase_				) != len(UpperCamelCase_				):
				raise ValueError("""Both points must be in the same n-dimensional space"""				)

		return float(sum(abs(x - y				) for x, y in zip(UpperCamelCase_  ,				UpperCamelCase_				)				)				)


if __name__ == "__main__":
							import doctest

							doctest.testmod()





'''simple docstring'''




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


__lowercase          =  {
    '''configuration_resnet''': ['''RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ResNetConfig''', '''ResNetOnnxConfig''']
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__lowercase          =  [
						    '''RESNET_PRETRAINED_MODEL_ARCHIVE_LIST''',
						    '''ResNetForImageClassification''',
						    '''ResNetModel''',
						    '''ResNetPreTrainedModel''',
						    '''ResNetBackbone''',
						]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__lowercase          =  [
						    '''TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST''',
						    '''TFResNetForImageClassification''',
						    '''TFResNetModel''',
						    '''TFResNetPreTrainedModel''',
						]

try:
						if not is_flax_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__lowercase          =  [
						    '''FlaxResNetForImageClassification''',
						    '''FlaxResNetModel''',
						    '''FlaxResNetPreTrainedModel''',
						]

if TYPE_CHECKING:
						from .configuration_resnet import RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ResNetConfig, ResNetOnnxConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_resnet import (
												    RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
												    ResNetBackbone,
												    ResNetForImageClassification,
												    ResNetModel,
												    ResNetPreTrainedModel,
												)

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_resnet import (
												    TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
												    TFResNetForImageClassification,
												    TFResNetModel,
												    TFResNetPreTrainedModel,
												)

						try:
												if not is_flax_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_flax_resnet import FlaxResNetForImageClassification, FlaxResNetModel, FlaxResNetPreTrainedModel


else:
						import sys

						__lowercase          =  _LazyModule(__name__, globals()['''__file__'''], _import_structure)




