


'''simple docstring'''

def lowerCamelCase      (      lowerCAmelCase    :     Optional[int]		,		lowerCAmelCase    :     str		):





	"""simple docstring"""







	return (pointa[0] - pointa[0]) ** 2 + (pointa[1] - pointa[1]) ** 2





def lowerCamelCase      (      lowerCAmelCase    :     List[str]		,		lowerCAmelCase    :     Any=0		):





	"""simple docstring"""







	return sorted(lowerCAmelCase		,		key=lambda lowerCAmelCase		: x[column]		)





def lowerCamelCase      (      lowerCAmelCase    :     Dict		,		lowerCAmelCase    :     Any		,		lowerCAmelCase    :     Union[str, Any]=float('inf'		)		):





	"""simple docstring"""







	for i in range(points_counts - 1		):
		for j in range(i + 1		,		lowerCAmelCase		):
			__magic_name__	:   int					     =					euclidean_distance_sqr(points[i]		,		points[j]		)
			if current_dis < min_dis:
				__magic_name__	:   List[Any]					     =					current_dis
	return min_dis





def lowerCamelCase      (      lowerCAmelCase    :     int		,		lowerCAmelCase    :     int		,		lowerCAmelCase    :     Any=float('inf'		)		):





	"""simple docstring"""







	for i in range(min(6		,		points_counts - 1		)		,		lowerCAmelCase		):
		for j in range(max(0		,		i - 6		)		,		lowerCAmelCase		):
			__magic_name__	:   Union[str, Any]					     =					euclidean_distance_sqr(points[i]		,		points[j]		)
			if current_dis < min_dis:
				__magic_name__	:   Union[str, Any]					     =					current_dis
	return min_dis





def lowerCamelCase      (      lowerCAmelCase    :     int		,		lowerCAmelCase    :     Tuple		,		lowerCAmelCase    :     Tuple		):





	"""simple docstring"""







	if points_counts <= 3:
		return dis_between_closest_pair(lowerCAmelCase		,		lowerCAmelCase		)

	# recursion
	__magic_name__	:   Union[str, Any]					     =					points_counts // 2
	__magic_name__	:   List[str]					     =					closest_pair_of_points_sqr(
	    lowerCAmelCase		,		points_sorted_on_y[:mid]		,		lowerCAmelCase		)
	__magic_name__	:   Dict					     =					closest_pair_of_points_sqr(
	    lowerCAmelCase		,		points_sorted_on_y[mid:]		,		points_counts - mid		)
	__magic_name__	:   int					     =					min(lowerCAmelCase		,		lowerCAmelCase		)
	__magic_name__	:   List[str]					     =					[]
	for point in points_sorted_on_x:
		if abs(point[0] - points_sorted_on_x[mid][0]		) < closest_pair_dis:
			cross_strip.append(lowerCAmelCase		)

	__magic_name__	:   List[str]					     =					dis_between_closest_in_strip(
	    lowerCAmelCase		,		len(lowerCAmelCase		)		,		lowerCAmelCase		)
	return min(lowerCAmelCase		,		lowerCAmelCase		)





def lowerCamelCase      (      lowerCAmelCase    :     str		,		lowerCAmelCase    :     str		):





	"""simple docstring"""







	__magic_name__	:   Optional[Any]					     =					column_based_sort(lowerCAmelCase		,		column=0		)
	__magic_name__	:   Optional[Any]					     =					column_based_sort(lowerCAmelCase		,		column=1		)
	return (
	    closest_pair_of_points_sqr(
	        lowerCAmelCase		,		lowerCAmelCase		,		lowerCAmelCase		)
	) ** 0.5


if __name__ == "__main__":
							lowerCAmelCase				:List[str]        =      [(2, 3), (1_2, 3_0), (4_0, 5_0), (5, 1), (1_2, 1_0), (3, 4)]
							print('''Distance:''', closest_pair_of_points(points, len(points)))



'''simple docstring'''

import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


lowerCAmelCase				:Tuple        =      logging.get_logger(__name__)
class _lowerCamelCase	(						lowercase__							):



		'''simple docstring'''







		def __init__( self		:						Any  ,					*_A		:						List[Any]  ,					**_A		:						str      )  ->			None:
			warnings.warn(
			    'The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
			    ' use BeitImageProcessor instead.'  ,					_A  ,					)
			super().__init__(*_A  ,					**_A      )