



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

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






def  UpperCAmelCase__    (    lowercase__   ) ->      None:
						if point:
												if isinstance(lowercase__						,       lowercase__   ):
																		for item in point:
																								if not isinstance(lowercase__						,       (int, float)   ):
																														__lowercase					=				(
																														    """Expected a list of numbers as input, found """
																														    F"{type(lowercase__   ).__name__}"
																														)
																														raise TypeError(lowercase__   )
												else:
																		__lowercase					=				F"Expected a list of numbers as input, found {type(lowercase__   ).__name__}"
																		raise TypeError(lowercase__   )
						else:
												raise ValueError("""Missing an input"""   )






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

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


if __name__ == "__main__":
			import doctest

			doctest.testmod()










from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCamelCase__ =						{
    "configuration_luke": ["LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP", "LukeConfig"],
    "tokenization_luke": ["LukeTokenizer"],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			UpperCamelCase__ =						[
			    "LUKE_PRETRAINED_MODEL_ARCHIVE_LIST",
			    "LukeForEntityClassification",
			    "LukeForEntityPairClassification",
			    "LukeForEntitySpanClassification",
			    "LukeForMultipleChoice",
			    "LukeForQuestionAnswering",
			    "LukeForSequenceClassification",
			    "LukeForTokenClassification",
			    "LukeForMaskedLM",
			    "LukeModel",
			    "LukePreTrainedModel",
			]


if TYPE_CHECKING:
			from .configuration_luke import LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP, LukeConfig
			from .tokenization_luke import LukeTokenizer

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_luke import (
						    LUKE_PRETRAINED_MODEL_ARCHIVE_LIST,
						    LukeForEntityClassification,
						    LukeForEntityPairClassification,
						    LukeForEntitySpanClassification,
						    LukeForMaskedLM,
						    LukeForMultipleChoice,
						    LukeForQuestionAnswering,
						    LukeForSequenceClassification,
						    LukeForTokenClassification,
						    LukeModel,
						    LukePreTrainedModel,
						)

else:
			import sys

			UpperCamelCase__ =						_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





