






from __future__ import annotations

import time

import numpy as np

A_						:						Any						      =					[8, 5, 9, 7]
A_						:						Any						      =					[
    [2, 0, 1, 1],
    [0, 1, 2, 1],
    [4, 0, 0, 3],
    [0, 2, 1, 0],
    [1, 0, 3, 0],
]
A_						:						Optional[Any]						      =					[
    [3, 2, 1, 4],
    [0, 2, 5, 2],
    [5, 1, 0, 5],
    [1, 5, 3, 0],
    [3, 0, 3, 3],
]




class 							_lowerCAmelCase:





       """simple docstring"""







       def __init__(   self    ,     _lowerCamelCase    ,     _lowerCamelCase    ,     _lowerCamelCase    ,     ):
         UpperCamelCase_:   Optional[int]        =							claim_vector
         UpperCamelCase_:   Any        =							allocated_resources_table
         UpperCamelCase_:   Any        =							maximum_claim_table





       def      _a       (   self				):
         return [
             sum(p_item[i] for p_item in self.__allocated_resources_table				)
             for i in range(len(self.__allocated_resources_table[0]				)				)
         ]





       def      _a       (   self				):
         return np.array(self.__claim_vector				) - np.array(
             self.__processes_resource_summation()				)





       def      _a       (   self				):
         return [
             list(np.array(self.__maximum_claim_table[i]				) - np.array(_lowerCamelCase				)				)
             for i, allocated_resource in enumerate(self.__allocated_resources_table				)
         ]





       def      _a       (   self				):
         return {self.__need().index(_lowerCamelCase				): i for i in self.__need()}





       def      _a       (   self    ,     **_lowerCamelCase				):
         UpperCamelCase_:   List[Any]        =							self.__need()
         UpperCamelCase_:   Any        =							self.__allocated_resources_table
         UpperCamelCase_:   str        =							self.__available_resources()
         UpperCamelCase_:   Dict        =							self.__need_index_manager()
         for kw, val in kwargs.items():
           if kw and val is True:
             self.__pretty_data()
         print('_' * 5_0 + '\n'				)
         while need_list:
           UpperCamelCase_:   Optional[int]        =							False
           for each_need in need_list:
             UpperCamelCase_:   Optional[Any]        =							True
             for index, need in enumerate(_lowerCamelCase				):
               if need > available_resources[index]:
                 UpperCamelCase_:   str        =							False
                 break
             if execution:
               UpperCamelCase_:   int        =							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:
                   UpperCamelCase_:   Union[str, Any]        =							original_need_index
               print(f'''Process {process_number + 1} is executing.'''				)
               # remove the process run from stack
               need_list.remove(_lowerCamelCase				)
               # update available/freed resources stack
               UpperCamelCase_:   Tuple        =							np.array(_lowerCamelCase				) + np.array(
                   alloc_resources_table[process_number]				)
               print(
                   'Updated available resource stack for processes: '
                   + ' '.join([str(_lowerCamelCase				) 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      _a       (   self				):
         print(' ' * 9 + 'Allocated Resource Table'				)
         for item in self.__allocated_resources_table:
           print(
               f'''P{self.__allocated_resources_table.index(_lowerCamelCase				) + 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(_lowerCamelCase				) + 1}'''
               + ' '.join(f'''{it:>8}''' for it in item				)
               + '\n'				)
         print(
             'Current Usage by Active Processes: '
             + ' '.join(str(_lowerCamelCase				) for x in self.__claim_vector				)				)
         print(
             'Initial Available Resources:       '
             + ' '.join(str(_lowerCamelCase				) for x in self.__available_resources()				)				)
         time.sleep(1				)


if __name__ == "__main__":
   import doctest

   doctest.testmod()



import numpy as np




def       a_ (       SCREAMING_SNAKE_CASE__   : np.ndarray						,     SCREAMING_SNAKE_CASE__   : float	):
       '''simple docstring'''





       return np.where(vector > 0						,     SCREAMING_SNAKE_CASE__						,     (alpha * (np.exp(SCREAMING_SNAKE_CASE__	) - 1))	)


if __name__ == "__main__":
 import doctest

 doctest.testmod()


