





import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import ClassLabel, Features, Value
from .base import TaskTemplate






@dataclass(frozen=lowerCamelCase_  )
class  _SCREAMING_SNAKE_CASE(       lowerCamelCase_  ):
       # `task` is not a ClassVar since we want it to be part of the `asdict` output for JSON serialization
       SCREAMING_SNAKE_CASE_       :				str     						=  field(default='''text-classification'''   ,     metadata={'''include_in_asdict_even_if_is_default''': True}  )
       SCREAMING_SNAKE_CASE_       :				ClassVar[Features]     						=  Features({'''text''': Value('''string'''  )}  )
       SCREAMING_SNAKE_CASE_       :				ClassVar[Features]     						=  Features({'''labels''': ClassLabel}  )
       SCREAMING_SNAKE_CASE_       :				str     						=  "text"
       SCREAMING_SNAKE_CASE_       :				str     						=  "labels"




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__							)      ->				Optional[Any]:





             """simple docstring"""






             if self.label_column not in features:
                   raise ValueError(f'''Column {self.label_column} is not present in features.'''							)
             if not isinstance(features[self.label_column]		,__snake_case							):
                   raise ValueError(f'''Column {self.label_column} is not a ClassLabel.'''							)
             __SCREAMING_SNAKE_CASE       :int		    =  copy.deepcopy(self							)
             __SCREAMING_SNAKE_CASE       :str		    =  self.label_schema.copy()
             __SCREAMING_SNAKE_CASE       :Optional[int]		    =  features[self.label_column]
             __SCREAMING_SNAKE_CASE       :List[str]		    =  label_schema
             return task_template




       @property
       def    _UpperCamelCase					(						self							)      ->				Dict[str, str]:





             """simple docstring"""






             return {
                 self.text_column: "text",
                 self.label_column: "labels",
             }






"""simple docstring"""
def 					__lowerCamelCase       (							a_					:		Union[str, Any]			,       a_					:		Optional[Any]							)      ->				Union[str, Any]:
      return (pointa[0] - pointa[0]) ** 2 + (pointa[1] - pointa[1]) ** 2



def 					__lowerCamelCase       (							a_					:		Optional[int]			,       a_					:		Any=0							)      ->				Optional[Any]:
      return sorted(a_			,       key=lambda a_							: x[column]							)



def 					__lowerCamelCase       (							a_					:		Optional[Any]			,       a_					:		Optional[int]			,       a_					:		str=float('''inf'''							)							)      ->				str:

      for i in range(points_counts - 1							):
            for j in range(i + 1			,       a_							):
                  __SCREAMING_SNAKE_CASE       :Dict		    =  euclidean_distance_sqr(points[i]			,       points[j]							)
                  if current_dis < min_dis:
                        __SCREAMING_SNAKE_CASE       :Optional[Any]		    =  current_dis
      return min_dis



def 					__lowerCamelCase       (							a_					:		List[Any]			,       a_					:		Any			,       a_					:		Optional[int]=float('''inf'''							)							)      ->				Optional[Any]:

      for i in range(min(6			,       points_counts - 1							)			,       a_							):
            for j in range(max(0			,       i - 6							)			,       a_							):
                  __SCREAMING_SNAKE_CASE       :Dict		    =  euclidean_distance_sqr(points[i]			,       points[j]							)
                  if current_dis < min_dis:
                        __SCREAMING_SNAKE_CASE       :int		    =  current_dis
      return min_dis



def 					__lowerCamelCase       (							a_					:		str			,       a_					:		List[Any]			,       a_					:		int							)      ->				Optional[int]:

      # base case
      if points_counts <= 3:
            return dis_between_closest_pair(a_			,       a_							)

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

      __SCREAMING_SNAKE_CASE       :Dict		    =  dis_between_closest_in_strip(
          a_			,       len(a_							)			,       a_							)
      return min(a_			,       a_							)



def 					__lowerCamelCase       (							a_					:		int			,       a_					:		Tuple							)      ->				List[Any]:
      __SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  column_based_sort(a_			,       column=0							)
      __SCREAMING_SNAKE_CASE       :int		    =  column_based_sort(a_			,       column=1							)
      return (
          closest_pair_of_points_sqr(
              a_			,       a_			,       a_							)
      ) ** 0.5


if __name__ == "__main__":
  lowerCamelCase_       =		[(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)))