





'''simple docstring'''


from __future__ import annotations

import time

import numpy as np

lowerCAmelCase_   :   str       =					[8, 5, 9, 7]
lowerCAmelCase_   :   Union[str, Any]       =					[
    [2, 0, 1, 1],
    [0, 1, 2, 1],
    [4, 0, 0, 3],
    [0, 2, 1, 0],
    [1, 0, 3, 0],
]
lowerCAmelCase_   :   List[Any]       =					[
    [3, 2, 1, 4],
    [0, 2, 5, 2],
    [5, 1, 0, 5],
    [1, 5, 3, 0],
    [3, 0, 3, 3],
]






class       UpperCamelCase__  :







 def __init__(				self			:   List[str] , lowerCamelCase			:   list[int] , lowerCamelCase			:   list[list[int]] , lowerCamelCase			:   list[list[int]] , ):




    '''simple docstring'''
    a__     = claim_vector
    a__     = allocated_resources_table
    a__     = maximum_claim_table







 def 						__a   (				self			:   Tuple		):




    '''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 						__a   (				self			:   int		):




    '''simple docstring'''
    return np.array(self.__claim_vector		) - np.array(
        self.__processes_resource_summation()		)







 def 						__a   (				self			:   Dict		):




    '''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 						__a   (				self			:   Optional[int]		):




    '''simple docstring'''
    return {self.__need().index(_a		): i for i in self.__need()}







 def 						__a   (				self			:   Optional[int] , **lowerCamelCase			:   int		):




    '''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("_" * 5_0 + "\n"		)
    while need_list:
       a__     = False
       for each_need in need_list:
          a__     = True
          for index, need in enumerate(_a		):
             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(_a		)
             # update available/freed resources stack
             a__     = 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 						__a   (				self			:   Dict		):




    '''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()










'''simple docstring'''


import argparse
import json

from tqdm import tqdm







def    _lowerCamelCase  ()   ->    Any:
			a__     = argparse.ArgumentParser()

			# Required parameters
			parser.add_argument(
			    "--src_path"					,  type=__lowerCamelCase					,  default="biencoder-nq-dev.json"					,  help="Path to raw DPR training data"					,  )
			parser.add_argument(
			    "--evaluation_set"					,  type=__lowerCamelCase					,  help="where to store parsed evaluation_set file"					,  )
			parser.add_argument(
			    "--gold_data_path"					,  type=__lowerCamelCase					,  help="where to store parsed gold_data_path file"					,  )
			a__     = parser.parse_args()

			with open(args.src_path					,  "r"     ) as src_file, open(args.evaluation_set					,  "w"     ) as eval_file, open(
			    args.gold_data_path					,  "w"     ) as gold_file:
						a__     = json.load(__lowerCamelCase     )
						for dpr_record in tqdm(__lowerCamelCase     ):
									a__     = dpr_record["question"]
									a__     = [context["title"] for context in dpr_record["positive_ctxs"]]
									eval_file.write(question + "\n"     )
									gold_file.write("\t".join(__lowerCamelCase     ) + "\n"     )


if __name__ == "__main__":
		main()



