





"""simple docstring"""




from collections.abc import Iterable
from typing import Any


class        __UpperCamelCase				:






							def __init__(   self      ,					lowerCAmelCase__ = None      )	-> List[str]:
								a      :		Optional[Any]	=				value
								a      :		Node | None	=				None  # Added in order to delete a node easier
								a      :		Node | None	=				None
								a      :		Node | None	=				None






							def __repr__(   self      )	-> str:
								from pprint import pformat

								if self.left is None and self.right is None:
									return str(self.value      )
								return pformat({f"""{self.value}""": (self.left, self.right)}      ,					indent=1      )


class        __UpperCamelCase				:






							def __init__(   self      ,					lowerCAmelCase__ = None      )	-> Tuple:
								a      :		Dict	=				root






							def __str__(   self      )	-> str:
								return str(self.root      )






							def     __a   (   self      ,					lowerCAmelCase__      ,					lowerCAmelCase__      )	-> None:
								if new_children is not None:  # reset its kids
									a      :		Dict	=				node.parent
								if node.parent is not None:  # reset its parent
									if self.is_right(lowerCAmelCase__      ):  # If it is the right children
										a      :		Any	=				new_children
									else:
										a      :		Dict	=				new_children
								else:
									a      :		Any	=				new_children






							def     __a   (   self      ,					lowerCAmelCase__      )	-> bool:
								if node.parent and node.parent.right:
									return node == node.parent.right
								return False






							def     __a   (   self      )	-> bool:
								return self.root is None






							def     __a   (   self      ,					lowerCAmelCase__      )	-> None:
								a      :		int	=				Node(lowerCAmelCase__      )  # create a new Node
								if self.empty():  # if Tree is empty
									a      :		Union[str, Any]	=				new_node  # set its root
								else:  # Tree is not empty
									a      :		Any	=				self.root  # from root
									if parent_node is None:
										return
									while True:  # While we don't get to a leaf
										if value < parent_node.value:  # We go left
											if parent_node.left is None:
												a      :		Dict	=				new_node  # We insert the new node in a leaf
												break
											else:
												a      :		Optional[int]	=				parent_node.left
										else:
											if parent_node.right is None:
												a      :		List[str]	=				new_node
												break
											else:
												a      :		Tuple	=				parent_node.right
									a      :		Union[str, Any]	=				parent_node






							def     __a   (   self      ,					*lowerCAmelCase__      )	-> None:
								for value in values:
									self.__insert(lowerCAmelCase__      )






							def     __a   (   self      ,					lowerCAmelCase__      )	-> Node | None:
								if self.empty():
									raise IndexError("Warning: Tree is empty! please use another."      )
								else:
									a      :		Any	=				self.root
									# use lazy evaluation here to avoid NoneType Attribute error
									while node is not None and node.value is not value:
										a      :		Tuple	=				node.left if value < node.value else node.right
									return node






							def     __a   (   self      ,					lowerCAmelCase__ = None      )	-> Node | None:
								if node is None:
									if self.root is None:
										return None
									a      :		List[str]	=				self.root

								if not self.empty():
									while node.right is not None:
										a      :		Any	=				node.right
								return node






							def     __a   (   self      ,					lowerCAmelCase__ = None      )	-> Node | None:
								if node is None:
									a      :		str	=				self.root
								if self.root is None:
									return None
								if not self.empty():
									a      :		Any	=				self.root
									while node.left is not None:
										a      :		Dict	=				node.left
								return node






							def     __a   (   self      ,					lowerCAmelCase__      )	-> None:
								a      :		List[str]	=				self.search(lowerCAmelCase__      )  # Look for the node with that label
								if node is not None:
									if node.left is None and node.right is None:  # If it has no children
										self.__reassign_nodes(lowerCAmelCase__      ,					lowerCAmelCase__      )
									elif node.left is None:  # Has only right children
										self.__reassign_nodes(lowerCAmelCase__      ,					node.right      )
									elif node.right is None:  # Has only left children
										self.__reassign_nodes(lowerCAmelCase__      ,					node.left      )
									else:
										a      :		Union[str, Any]	=				self.get_max(
										    node.left      )  # Gets the max value of the left branch
										self.remove(tmp_node.value      )  # type: ignore
										a      :		List[str]	=				(
										    tmp_node.value  # type: ignore
										)  # Assigns the value to the node to delete and keep tree structure






							def     __a   (   self      ,					lowerCAmelCase__      )	-> Iterable:
								if node is not None:
									yield node  # Preorder Traversal
									yield from self.preorder_traverse(node.left      )
									yield from self.preorder_traverse(node.right      )






							def     __a   (   self      ,					lowerCAmelCase__=None      )	-> Any:
								if traversal_function is None:
									return self.preorder_traverse(self.root      )
								else:
									return traversal_function(self.root      )






							def     __a   (   self      ,					lowerCAmelCase__      ,					lowerCAmelCase__      )	-> None:
								if node:
									self.inorder(lowerCAmelCase__      ,					node.left      )
									arr.append(node.value      )
									self.inorder(lowerCAmelCase__      ,					node.right      )






							def     __a   (   self      ,					lowerCAmelCase__      ,					lowerCAmelCase__      )	-> int:
								a      :		list[int]	=				[]
								self.inorder(lowerCAmelCase__      ,					lowerCAmelCase__      )  # append all values to list using inorder traversal
								return arr[k - 1]






def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    Node | None					) ->list[Node]:






	'''simple docstring'''






	a      :		List[str]	=				[]
	if curr_node is not None:
		a      :		Dict	=				postorder(curr_node.left					) + postorder(curr_node.right					) + [curr_node]
	return node_list






def       _SCREAMING_SNAKE_CASE		(	) ->None:






	'''simple docstring'''






	a      :		Dict	=				(8, 3, 6, 1, 10, 14, 13, 4, 7)
	a      :		Union[str, Any]	=				BinarySearchTree()
	for i in testlist:
		t.insert(_lowercase					)

	# Prints all the elements of the list in order traversal
	print(_lowercase					)

	if t.search(6					) is not None:
		print("The value 6 exists"					)
	else:
		print("The value 6 doesn't exist"					)

	if t.search(-1					) is not None:
		print("The value -1 exists"					)
	else:
		print("The value -1 doesn't exist"					)

	if not t.empty():
		print("Max Value: "    ,       t.get_max().value					)  # type: ignore
		print("Min Value: "    ,       t.get_min().value					)  # type: ignore

	for i in testlist:
		t.remove(_lowercase					)
		print(_lowercase					)


if __name__ == "__main__":
		import doctest

		doctest.testmod(verbose=True)










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_					:






      '''simple docstring'''




      def __init__(      self      :						Optional[int] ,					__UpperCAmelCase      :						list[int] ,					__UpperCAmelCase      :						list[list[int]] ,					__UpperCAmelCase      :						list[list[int]] ,					)    ->None:




       """simple docstring"""


       a		  =      claim_vector
       a		  =      allocated_resources_table
       a		  =      maximum_claim_table







      def       __lowerCAmelCase					(      self      :						Any  )    ->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       __lowerCAmelCase					(      self      :						Optional[int]  )    ->list[int]:




       """simple docstring"""


       return np.array(self.__claim_vector  ) - np.array(
           self.__processes_resource_summation()  )







      def       __lowerCAmelCase					(      self      :						Union[str, Any]  )    ->list[list[int]]:




       """simple docstring"""


       return [
           list(np.array(self.__maximum_claim_table[i]  ) - np.array(__UpperCAmelCase  )  )
           for i, allocated_resource in enumerate(self.__allocated_resources_table  )
       ]







      def       __lowerCAmelCase					(      self      :						Tuple  )    ->dict[int, list[int]]:




       """simple docstring"""


       return {self.__need().index(__UpperCAmelCase  ): i for i in self.__need()}







      def       __lowerCAmelCase					(      self      :						Optional[Any] ,					**__UpperCAmelCase      :						Any  )    ->None:




       """simple docstring"""


       a		  =      self.__need()
       a		  =      self.__allocated_resources_table
       a		  =      self.__available_resources()
       a		  =      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:
        a		  =      False
        for each_need in need_list:
         a		  =      True
         for index, need in enumerate(__UpperCAmelCase  ):
          if need > available_resources[index]:
           a		  =      False
           break
         if execution:
          a		  =      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:
            a		  =      original_need_index
          print(F"""Process {process_number + 1} is executing."""  )
          # remove the process run from stack
          need_list.remove(__UpperCAmelCase  )
          # update available/freed resources stack
          a		  =      np.array(__UpperCAmelCase  ) + np.array(
              alloc_resources_table[process_number]  )
          print(
              '''Updated available resource stack for processes: '''
              + ''' '''.join([str(__UpperCAmelCase  ) 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       __lowerCAmelCase					(      self      :						List[Any]  )    ->Dict:




       """simple docstring"""


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


if __name__ == "__main__":
     import doctest

     doctest.testmod()


