

from __future__ import annotations

import time

import numpy as np

_UpperCamelCase 			=		[8, 5, 9, 7]
_UpperCamelCase 			=		[
    [2, 0, 1, 1],
    [0, 1, 2, 1],
    [4, 0, 0, 3],
    [0, 2, 1, 0],
    [1, 0, 3, 0],
]
_UpperCamelCase 			=		[
    [3, 2, 1, 4],
    [0, 2, 5, 2],
    [5, 1, 0, 5],
    [1, 5, 3, 0],
    [3, 0, 3, 3],
]







class   __lowercase      :
 def __init__(							self      ,							A_      ,							A_      ,							A_      ,							)					->None:



       '''simple docstring'''





       __lowerCAmelCase					:						str					=					claim_vector
       __lowerCAmelCase					:						Tuple					=					allocated_resources_table
       __lowerCAmelCase					:						int					=					maximum_claim_table
 def 	UpperCamelCase__  (							self					)					->list[int]:



       '''simple docstring'''





       return [
           sum(p_item[i] for p_item in self.__allocated_resources_table					)
           for i in range(len(self.__allocated_resources_table[0]					)					)
       ]
 def 	UpperCamelCase__  (							self					)					->list[int]:



       '''simple docstring'''





       return np.array(self.__claim_vector					) - np.array(
           self.__processes_resource_summation()					)
 def 	UpperCamelCase__  (							self					)					->list[list[int]]:



       '''simple docstring'''





       return [
           list(np.array(self.__maximum_claim_table[i]					) - np.array(A_					)					)
           for i, allocated_resource in enumerate(self.__allocated_resources_table					)
       ]
 def 	UpperCamelCase__  (							self					)					->dict[int, list[int]]:



       '''simple docstring'''





       return {self.__need().index(A_					): i for i in self.__need()}
 def 	UpperCamelCase__  (							self      ,							**A_					)					->None:



       '''simple docstring'''





       __lowerCAmelCase					:						Optional[int]					=					self.__need()
       __lowerCAmelCase					:						Any					=					self.__allocated_resources_table
       __lowerCAmelCase					:						str					=					self.__available_resources()
       __lowerCAmelCase					:						str					=					self.__need_index_manager()
       for kw, val in kwargs.items():
             if kw and val is True:
                   self.__pretty_data()
       print('''_''' * 50 + '''\n'''					)
       while need_list:
             __lowerCAmelCase					:						Tuple					=					False
             for each_need in need_list:
                   __lowerCAmelCase					:						int					=					True
                   for index, need in enumerate(A_					):
                         if need > available_resources[index]:
                               __lowerCAmelCase					:						str					=					False
                               break
                   if execution:
                         __lowerCAmelCase					:						Dict					=					True
                         # get the original index of the process from ind_ctrl db
                         for original_need_index, need_clone in need_index_manager.items():
                               if each_need == need_clone:
                                     __lowerCAmelCase					:						int					=					original_need_index
                         print(f"""Process {process_number + 1} is executing."""					)
                         # remove the process run from stack
                         need_list.remove(A_					)
                         # update available/freed resources stack
                         __lowerCAmelCase					:						str					=					np.array(A_					) + np.array(
                             alloc_resources_table[process_number]					)
                         print(
                             '''Updated available resource stack for processes: '''
                             + ''' '''.join([str(A_					) for x in available_resources]					)					)
                         break
             if safe:
                   print('''The process is in a safe state.\n'''					)
             else:
                   print('''System in unsafe state. Aborting...\n'''					)
                   break





 def 	UpperCamelCase__  (							self					)					->Union[str, Any]:



       '''simple docstring'''





       print(''' ''' * 9 + '''Allocated Resource Table'''					)
       for item in self.__allocated_resources_table:
             print(
                 f"""P{self.__allocated_resources_table.index(A_					) + 1}"""
                 + ''' '''.join(f"""{it:>8}""" for it in item					)
                 + '''\n'''					)
       print(''' ''' * 9 + '''System Resource Table'''					)
       for item in self.__maximum_claim_table:
             print(
                 f"""P{self.__maximum_claim_table.index(A_					) + 1}"""
                 + ''' '''.join(f"""{it:>8}""" for it in item					)
                 + '''\n'''					)
       print(
           '''Current Usage by Active Processes: '''
           + ''' '''.join(str(A_					) for x in self.__claim_vector					)					)
       print(
           '''Initial Available Resources:       '''
           + ''' '''.join(str(A_					) for x in self.__available_resources()					)					)
       time.sleep(1					)


if __name__ == "__main__":
 import doctest

 doctest.testmod()





def 		_lowercase (     lowercase__   ,	lowercase__						):
      return (pointa[0] - pointa[0]) ** 2 + (pointa[1] - pointa[1]) ** 2







def 		_lowercase (     lowercase__   ,	lowercase__=0						):
      return sorted(lowercase__   ,	key=lambda lowercase__						: x[column]						)







def 		_lowercase (     lowercase__   ,	lowercase__   ,	lowercase__=float('''inf'''						)						):

      for i in range(points_counts - 1						):
            for j in range(i + 1   ,	lowercase__						):
                  __lowerCAmelCase					:						List[str]					=					euclidean_distance_sqr(points[i]   ,	points[j]						)
                  if current_dis < min_dis:
                        __lowerCAmelCase					:						Tuple					=					current_dis
      return min_dis







def 		_lowercase (     lowercase__   ,	lowercase__   ,	lowercase__=float('''inf'''						)						):

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







def 		_lowercase (     lowercase__   ,	lowercase__   ,	lowercase__						):

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

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

      __lowerCAmelCase					:						List[Any]					=					dis_between_closest_in_strip(
          lowercase__   ,	len(lowercase__						)   ,	lowercase__						)
      return min(lowercase__   ,	lowercase__						)







def 		_lowercase (     lowercase__   ,	lowercase__						):
      __lowerCAmelCase					:						Union[str, Any]					=					column_based_sort(lowercase__   ,	column=0						)
      __lowerCAmelCase					:						Any					=					column_based_sort(lowercase__   ,	column=1						)
      return (
          closest_pair_of_points_sqr(
              lowercase__   ,	lowercase__   ,	lowercase__						)
      ) ** 0.5


if __name__ == "__main__":
 _UpperCamelCase 			=		[(2, 3), (12, 30), (40, 50), (5, 1), (12, 10), (3, 4)]
 print("Distance:", closest_pair_of_points(points, len(points)))


