




"""simple docstring"""







from __future__ import annotations

import typing
from collections.abc import Iterable

import numpy as np

a      =							typing.Union[Iterable[float], Iterable[int], np.ndarray]  # noqa: UP007
a      =							typing.Union[np.floataa, int, float]  # noqa: UP007





def 							lowercase					(snake_case__   : Vector      ,       snake_case__   : Vector )     ->  VectorOut:


				'''simple docstring'''






				return np.sqrt(np.sum((np.asarray(snake_case__ ) - np.asarray(snake_case__ )) ** 2 ) )





def 							lowercase					(snake_case__   : Vector      ,       snake_case__   : Vector )     ->  VectorOut:


				'''simple docstring'''






				return sum((va - va) ** 2 for va, va in zip(snake_case__      ,       snake_case__ ) ) ** (1 / 2)


if __name__ == "__main__":





		def 							lowercase					()     ->  None:


						'''simple docstring'''






						from timeit import timeit

						print("""Without Numpy""" )
						print(
						    timeit(
						        """euclidean_distance_no_np([1, 2, 3], [4, 5, 6])"""      ,       number=10_000      ,       globals=globals()      ,       ) )
						print("""With Numpy""" )
						print(
						    timeit(
						        """euclidean_distance([1, 2, 3], [4, 5, 6])"""      ,       number=10_000      ,       globals=globals()      ,       ) )






		benchmark()











"""simple docstring"""







from typing import TYPE_CHECKING

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


a      =							{
    'configuration_owlvit': [
        'OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'OwlViTConfig',
        'OwlViTOnnxConfig',
        'OwlViTTextConfig',
        'OwlViTVisionConfig',
    ],
    'processing_owlvit': ['OwlViTProcessor'],
}


try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		a      =							['OwlViTFeatureExtractor']
		a      =							['OwlViTImageProcessor']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		a      =							[
		    'OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'OwlViTModel',
		    'OwlViTPreTrainedModel',
		    'OwlViTTextModel',
		    'OwlViTVisionModel',
		    'OwlViTForObjectDetection',
		]

if TYPE_CHECKING:
		from .configuration_owlvit import (
		    OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    OwlViTConfig,
		    OwlViTOnnxConfig,
		    OwlViTTextConfig,
		    OwlViTVisionConfig,
		)
		from .processing_owlvit import OwlViTProcessor

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_owlvit import OwlViTFeatureExtractor
				from .image_processing_owlvit import OwlViTImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_owlvit import (
				    OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    OwlViTForObjectDetection,
				    OwlViTModel,
				    OwlViTPreTrainedModel,
				    OwlViTTextModel,
				    OwlViTVisionModel,
				)

else:
		import sys

		a      =							_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





