





'''simple docstring'''

from __future__ import annotations

import time
from math import sqrt

# 1 for manhattan, 0 for euclidean
__lowerCAmelCase							:     Tuple		     =0

__lowerCAmelCase							:     Optional[Any]		     =[
    [0, 0, 0, 0, 0, 0, 0],
    [0, 1, 0, 0, 0, 0, 0],  # 0 are free path whereas 1's are obstacles
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 1, 0, 0, 0, 0],
    [1, 0, 1, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 1, 0, 0],
]

__lowerCAmelCase							:     List[Any]		     =[[-1, 0], [0, -1], [1, 0], [0, 1]]  # up, left, down, right

__lowerCAmelCase							:     int		     =tuple[int, int]






class        UpperCAmelCase     :
 def __init__(    self				:Tuple						,	lowercase_				:int						,	lowercase_				:int						,	lowercase_				:int						,	lowercase_				:int						,	lowercase_				:int						,	lowercase_				:Node | None						,	)->							None:
     A__    =      pos_x
     A__    =      pos_y
     A__    =      (pos_y, pos_x)
     A__    =      goal_x
     A__    =      goal_y
     A__    =      g_cost
     A__    =      parent
     A__    =      self.calculate_heuristic()
     A__    =      self.g_cost + self.h_cost
 def 					UpperCAmelCase_							(    self				:Tuple							)->							float:
     A__    =      self.pos_x - self.goal_x
     A__    =      self.pos_y - self.goal_y
     if HEURISTIC == 1:
         return abs(lowercase_							) + abs(lowercase_							)
     else:
         return sqrt(dy**2 + dx**2							)



 def __lt__(    self				:Any						,	lowercase_				:Node							)->							bool:
     return self.f_cost < other.f_cost






class        UpperCAmelCase     :
 def __init__(    self				:Tuple						,	lowercase_				:TPosition						,	lowercase_				:TPosition							)->							List[str]:
     A__    =      Node(start[1]						,	start[0]						,	goal[1]						,	goal[0]						,	0						,	lowercase_							)
     A__    =      Node(goal[1]						,	goal[0]						,	goal[1]						,	goal[0]						,	9_99_99						,	lowercase_							)

     A__    =      [self.start]
     A__    =      []

     A__    =      False
 def 					UpperCAmelCase_							(    self				:Optional[Any]							)->							list[TPosition]:
     while self.open_nodes:
         # Open Nodes are sorted using __lt__
         self.open_nodes.sort()
         A__    =      self.open_nodes.pop(0							)

         if current_node.pos == self.target.pos:
             return self.retrace_path(lowercase_							)

         self.closed_nodes.append(lowercase_							)
         A__    =      self.get_successors(lowercase_							)

         for child_node in successors:
             if child_node in self.closed_nodes:
                 continue

             if child_node not in self.open_nodes:
                 self.open_nodes.append(lowercase_							)
             else:
                 # retrieve the best current path
                 A__    =      self.open_nodes.pop(self.open_nodes.index(lowercase_							)							)

                 if child_node.g_cost < better_node.g_cost:
                     self.open_nodes.append(lowercase_							)
                 else:
                     self.open_nodes.append(lowercase_							)

     return [self.start.pos]
 def 					UpperCAmelCase_							(    self				:Any						,	lowercase_				:Node							)->							list[Node]:
     A__    =      []
     for action in delta:
         A__    =      parent.pos_x + action[1]
         A__    =      parent.pos_y + action[0]
         if not (0 <= pos_x <= len(grid[0]							) - 1 and 0 <= pos_y <= len(lowercase_							) - 1):
             continue

         if grid[pos_y][pos_x] != 0:
             continue

         successors.append(
             Node(
                 lowercase_						,	lowercase_						,	self.target.pos_y						,	self.target.pos_x						,	parent.g_cost + 1						,	lowercase_						,	)							)
     return successors



 def 					UpperCAmelCase_							(    self				:List[str]						,	lowercase_				:Node | None							)->							list[TPosition]:
     A__    =      node
     A__    =      []
     while current_node is not None:
         path.append((current_node.pos_y, current_node.pos_x)							)
         A__    =      current_node.parent
     path.reverse()
     return path






class        UpperCAmelCase     :
 def __init__(    self				:str						,	lowercase_				:TPosition						,	lowercase_				:TPosition							)->							None:
     A__    =      AStar(lowercase_						,	lowercase_							)
     A__    =      AStar(lowercase_						,	lowercase_							)
     A__    =      False
 def 					UpperCAmelCase_							(    self				:List[Any]							)->							list[TPosition]:
     while self.fwd_astar.open_nodes or self.bwd_astar.open_nodes:
         self.fwd_astar.open_nodes.sort()
         self.bwd_astar.open_nodes.sort()
         A__    =      self.fwd_astar.open_nodes.pop(0							)
         A__    =      self.bwd_astar.open_nodes.pop(0							)

         if current_bwd_node.pos == current_fwd_node.pos:
             return self.retrace_bidirectional_path(
                 lowercase_						,	lowercase_							)

         self.fwd_astar.closed_nodes.append(lowercase_							)
         self.bwd_astar.closed_nodes.append(lowercase_							)

         A__    =      current_bwd_node
         A__    =      current_fwd_node

         A__    =      {
             self.fwd_astar: self.fwd_astar.get_successors(lowercase_							),
             self.bwd_astar: self.bwd_astar.get_successors(lowercase_							),
         }

         for astar in [self.fwd_astar, self.bwd_astar]:
             for child_node in successors[astar]:
                 if child_node in astar.closed_nodes:
                     continue

                 if child_node not in astar.open_nodes:
                     astar.open_nodes.append(lowercase_							)
                 else:
                     # retrieve the best current path
                     A__    =      astar.open_nodes.pop(
                         astar.open_nodes.index(lowercase_							)							)

                     if child_node.g_cost < better_node.g_cost:
                         astar.open_nodes.append(lowercase_							)
                     else:
                         astar.open_nodes.append(lowercase_							)

     return [self.fwd_astar.start.pos]



 def 					UpperCAmelCase_							(    self				:int						,	lowercase_				:Node						,	lowercase_				:Node							)->							list[TPosition]:
     A__    =      self.fwd_astar.retrace_path(lowercase_							)
     A__    =      self.bwd_astar.retrace_path(lowercase_							)
     bwd_path.pop()
     bwd_path.reverse()
     A__    =      fwd_path + bwd_path
     return path


if __name__ == "__main__":
  # all coordinates are given in format [y,x]
  __lowerCAmelCase							:     Optional[Any]		     =(0, 0)
  __lowerCAmelCase							:     Any		     =(len(grid) - 1, len(grid[0]) - 1)
  for elem in grid:
    print(elem)

  __lowerCAmelCase							:     List[str]		     =time.time()
  __lowerCAmelCase							:     str		     =AStar(init, goal)
  __lowerCAmelCase							:     Any		     =a_star.search()
  __lowerCAmelCase							:     Optional[Any]		     =time.time() - start_time
  print(f"""AStar execution time = {end_time:f} seconds""")

  __lowerCAmelCase							:     int		     =time.time()
  __lowerCAmelCase							:     List[Any]		     =BidirectionalAStar(init, goal)
  __lowerCAmelCase							:     Dict		     =time.time() - bd_start_time
  print(f"""BidirectionalAStar execution time = {bd_end_time:f} seconds""")










'''simple docstring'''

import os
import random
import sys

from . import cryptomath_module as cryptoMath  # noqa: N812
from . import rabin_miller as rabinMiller  # noqa: N812





def 						UpperCamelCase    (							):
    print("Making key files..."	)
    make_key_files("rsa"						,	10_24	)
    print("Key files generation successful."	)





def 						UpperCamelCase    (							_lowerCamelCase : int	):
    print("Generating prime p..."	)
    A__    =      rabinMiller.generate_large_prime(_lowerCamelCase	)
    print("Generating prime q..."	)
    A__    =      rabinMiller.generate_large_prime(_lowerCamelCase	)
    A__    =      p * q

    print("Generating e that is relatively prime to (p - 1) * (q - 1)..."	)
    while True:
        A__    =      random.randrange(2 ** (key_size - 1)						,	2 ** (key_size)	)
        if cryptoMath.gcd(_lowerCamelCase						,	(p - 1) * (q - 1)	) == 1:
            break

    print("Calculating d that is mod inverse of e..."	)
    A__    =      cryptoMath.find_mod_inverse(_lowerCamelCase						,	(p - 1) * (q - 1)	)

    A__    =      (n, e)
    A__    =      (n, d)
    return (public_key, private_key)





def 						UpperCamelCase    (							_lowerCamelCase : str						,	_lowerCamelCase : int	):
    if os.path.exists(F"{name}_pubkey.txt"	) or os.path.exists(F"{name}_privkey.txt"	):
        print("\nWARNING:"	)
        print(
            F"\"{name}_pubkey.txt\" or \"{name}_privkey.txt\" already exists. \n"
            "Use a different name or delete these files and re-run this program."	)
        sys.exit()

    A__,     A__    =      generate_key(_lowerCamelCase	)
    print(F"\nWriting public key to file {name}_pubkey.txt..."	)
    with open(F"{name}_pubkey.txt"						,	"w"	) as out_file:
        out_file.write(F"{key_size},{public_key[0]},{public_key[1]}"	)

    print(F"Writing private key to file {name}_privkey.txt..."	)
    with open(F"{name}_privkey.txt"						,	"w"	) as out_file:
        out_file.write(F"{key_size},{private_key[0]},{private_key[1]}"	)


if __name__ == "__main__":
  main()



