

from __future__ import annotations

import time

import numpy as np

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

class     a__  :
			"""simple docstring"""







			def __init__(			self					,					lowercase					,					lowercase					,					lowercase					,					)     ->  None:
							'''simple docstring'''






							A__						=	claim_vector
							A__						=	allocated_resources_table
							A__						=	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(lowercase				)				)
							    for i, allocated_resource in enumerate(self.__allocated_resources_table				)
							]


			def    UpperCamelCase						(			self				)     ->  dict[int, list[int]]:
							'''simple docstring'''






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


			def    UpperCamelCase						(			self					,					**lowercase				)     ->  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(lowercase				):
																			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(lowercase				)
																			# update available/freed resources stack
																			A__						=	np.array(lowercase				) + np.array(
																			    alloc_resources_table[process_number]				)
																			print(
																			    "Updated available resource stack for processes: "
																			    + " ".join([str(lowercase				) 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				)     ->  Tuple:
							'''simple docstring'''






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


if __name__ == "__main__":
	import doctest

	doctest.testmod()





'''simple docstring'''




from __future__ import annotations

from bisect import bisect_left
from functools import total_ordering
from heapq import merge

@total_ordering
class 		UpperCAmelCase_      (  __lowercase		):





     def __lt__( self       :      Optional[int]    ,      UpperCAmelCase__       :      List[str]    )				->  List[Any]:
        return self[-1] < other[-1]





     def __eq__( self       :      str    ,      UpperCAmelCase__       :      List[str]    )				->  Tuple:
        return self[-1] == other[-1]





def 	a_					( lowerCamelCase	:     list				):
   lowerCAmelCase     =			[]
   # sort into stacks
   for element in collection:
      lowerCAmelCase     =			Stack([element]				)
      lowerCAmelCase     =			bisect_left(lowerCamelCase	, lowerCamelCase				)
      if i != len(lowerCamelCase				):
         stacks[i].append(lowerCamelCase				)
      else:
         stacks.append(lowerCamelCase				)

    # use a heap-based merge to merge stack efficiently
   lowerCAmelCase     =			merge(*(reversed(lowerCamelCase				) for stack in stacks)				)
   return collection


if __name__ == "__main__":
       __snake_case    						=input("""Enter numbers separated by a comma:\n""").strip()
       __snake_case    						=[int(item) for item in user_input.split(""",""")]
       print(patience_sort(unsorted))





