





from __future__ import annotations

import time

import numpy as np

lowercase_          =		[8, 5, 9, 7]
lowercase_          =		[
    [2, 0, 1, 1],
    [0, 1, 2, 1],
    [4, 0, 0, 3],
    [0, 2, 1, 0],
    [1, 0, 3, 0],
]
lowercase_          =		[
    [3, 2, 1, 4],
    [0, 2, 5, 2],
    [5, 1, 0, 5],
    [1, 5, 3, 0],
    [3, 0, 3, 3],
]
class     SCREAMING_SNAKE_CASE       :


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





     """simple docstring"""







     lowercase__           =  claim_vector
     lowercase__           =  allocated_resources_table
     lowercase__           =  maximum_claim_table


   def 	SCREAMING_SNAKE_CASE_							(   self      :    List[str]	)->       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 	SCREAMING_SNAKE_CASE_							(   self      :    Any	)->       list[int]:





     """simple docstring"""







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


   def 	SCREAMING_SNAKE_CASE_							(   self      :    List[Any]	)->       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 	SCREAMING_SNAKE_CASE_							(   self      :    Any	)->       dict[int, list[int]]:





     """simple docstring"""







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


   def 	SCREAMING_SNAKE_CASE_							(   self      :    Any      ,					**a      :    Optional[Any]	)->       None:





     """simple docstring"""







     lowercase__           =  self.__need()
     lowercase__           =  self.__allocated_resources_table
     lowercase__           =  self.__available_resources()
     lowercase__           =  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:
       lowercase__           =  False
       for each_need in need_list:
         lowercase__           =  True
         for index, need in enumerate(a	):
           if need > available_resources[index]:
             lowercase__           =  False
             break
         if execution:
           lowercase__           =  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:
               lowercase__           =  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
           lowercase__           =  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 	SCREAMING_SNAKE_CASE_							(   self      :    Optional[int]	)->       Tuple:





     """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()









from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Value
from .base import TaskTemplate
@dataclass(frozen=UpperCAmelCase				)
class     SCREAMING_SNAKE_CASE       (UpperCAmelCase				):
   _UpperCamelCase   :		str			 =	field(default='language-modeling'      ,     metadata={'include_in_asdict_even_if_is_default': True}				)

   _UpperCamelCase   :		ClassVar[Features]			 =	Features({'text': Value('string'				)}				)
   _UpperCamelCase   :		ClassVar[Features]			 =	Features({}				)
   _UpperCamelCase   :		str			 =	"text"


   @property
   def 	SCREAMING_SNAKE_CASE_							(   self      :    List[str]	)->       Dict[str, str]:





     """simple docstring"""







     return {self.text_column: "text"}


