
from __future__ import annotations

import time

import numpy as np

lowerCamelCase__     :		List[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__     :		Union[str, Any]        = [
    [3, 2, 1, 4],
    [0, 2, 5, 2],
    [5, 1, 0, 5],
    [1, 5, 3, 0],
    [3, 0, 3, 3],
]



class    _snake_case :


 def __init__(       self       ,	SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_       ,	):


   '''simple docstring'''




   lowercase__	: Any     		=   claim_vector
   lowercase__	: List[Any]     		=   allocated_resources_table
   lowercase__	: Union[str, Any]     		=   maximum_claim_table


 def   lowercase__  (       self):


   '''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   lowercase__  (       self):


   '''simple docstring'''




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


 def   lowercase__  (       self):


   '''simple docstring'''




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


 def   lowercase__  (       self):


   '''simple docstring'''




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


 def   lowercase__  (       self       ,	**SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




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


   '''simple docstring'''




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


if __name__ == "__main__":
     import doctest

     doctest.testmod()













def   __snake_case    (       _lowerCAmelCase			:			list					,					_lowerCAmelCase			:			list					,					_lowerCAmelCase			:			int						)			->    int:
   if len(_lowerCAmelCase						) != len(_lowerCAmelCase						):
      raise ValueError("The length of profit and weight must be same."						)
   if max_weight <= 0:
      raise ValueError("max_weight must greater than zero."						)
   if any(p < 0 for p in profit						):
      raise ValueError("Profit can not be negative."						)
   if any(w < 0 for w in weight						):
      raise ValueError("Weight can not be negative."						)

   # List created to store profit gained for the 1kg in case of each weight
   # respectively.  Calculate and append profit/weight for each element.
   A_       :					Dict        =      [p / w for p, w in zip(_lowerCAmelCase					,					_lowerCAmelCase						)]

   # Creating a copy of the list and sorting profit/weight in ascending order
   A_       :					Optional[Any]        =      sorted(_lowerCAmelCase						)

   # declaring useful variables
   A_       :					List[Any]        =      len(_lowerCAmelCase						)
   A_       :					List[Any]        =      0
   A_       :					Any        =      0
   A_       :					List[Any]        =      0

   # loop till the total weight do not reach max limit e.g. 15 kg and till i<length
   while limit <= max_weight and i < length:
      # flag value for encountered greatest element in sorted_profit_by_weight
      A_       :					List[Any]        =      sorted_profit_by_weight[length - i - 1]
      A_       :					List[Any]        =      profit_by_weight.index(_lowerCAmelCase						)
      A_       :					List[Any]        =      -1

      # check if the weight encountered is less than the total weight
      # encountered before.
      if max_weight - limit >= weight[index]:
         limit += weight[index]
         # Adding profit gained for the given weight 1 ===
         # weight[index]/weight[index]
         gain += 1 * profit[index]
      else:
         # Since the weight encountered is greater than limit, therefore take the
         # required number of remaining kgs and calculate profit for it.
         # weight remaining / weight[index]
         gain += (max_weight - limit) / weight[index] * profit[index]
         break
      i += 1
   return gain


if __name__ == "__main__":
 print(
     '''Input profits, weights, and then max_weight (all positive ints) separated by '''
     '''spaces.'''
 )

 _lowerCAmelCase				:   int						       =						[int(x) for x in input('''Input profits separated by spaces: ''').split()]
 _lowerCAmelCase				:   Dict						       =						[int(x) for x in input('''Input weights separated by spaces: ''').split()]
 _lowerCAmelCase				:   Union[str, Any]						       =						int(input('''Max weight allowed: '''))

 # Function Call
 calc_profit(profit, weight, max_weight)
