



'''simple docstring'''





from __future__ import annotations

import pandas as pd
def        _SCREAMING_SNAKE_CASE  (	UpperCamelCase							,   UpperCamelCase							,   UpperCamelCase      ):



    """simple docstring"""





    lowerCAmelCase__			:  Union[str, Any]											= [0] * no_of_processes
    lowerCAmelCase__			:  Any											= [0] * no_of_processes
    # Copy the burst time into remaining_time[]
    for i in range(UpperCamelCase      ):
        lowerCAmelCase__			:  Dict											= burst_time[i]

    lowerCAmelCase__			:  Optional[int]											= 0
    lowerCAmelCase__			:  Dict											= 0
    lowerCAmelCase__			:  Optional[int]											= 999999999
    lowerCAmelCase__			:  Any											= 0
    lowerCAmelCase__			:  Optional[int]											= False

    # Process until all processes are completed
    while complete != no_of_processes:
        for j in range(UpperCamelCase      ):
            if arrival_time[j] <= increment_time and remaining_time[j] > 0:
                if remaining_time[j] < minm:
                    lowerCAmelCase__			:  Dict											= remaining_time[j]
                    lowerCAmelCase__			:  List[str]											= j
                    lowerCAmelCase__			:  str											= True

        if not check:
            increment_time += 1
            continue
        remaining_time[short] -= 1

        lowerCAmelCase__			:  int											= remaining_time[short]
        if minm == 0:
            lowerCAmelCase__			:  Union[str, Any]											= 999999999

        if remaining_time[short] == 0:
            complete += 1
            lowerCAmelCase__			:  Tuple											= False

            # Find finish time of current process
            lowerCAmelCase__			:  Dict											= increment_time + 1

            # Calculate waiting time
            lowerCAmelCase__			:  Tuple											= finish_time - arrival_time[short]
            lowerCAmelCase__			:  List[str]											= finar - burst_time[short]

            if waiting_time[short] < 0:
                lowerCAmelCase__			:  Union[str, Any]											= 0

        # Increment time
        increment_time += 1
    return waiting_time
def        _SCREAMING_SNAKE_CASE  (	UpperCamelCase							,   UpperCamelCase							,   UpperCamelCase      ):



    """simple docstring"""





    lowerCAmelCase__			:  Optional[Any]											= [0] * no_of_processes
    for i in range(UpperCamelCase      ):
        lowerCAmelCase__			:  Union[str, Any]											= burst_time[i] + waiting_time[i]
    return turn_around_time
def        _SCREAMING_SNAKE_CASE  (	UpperCamelCase							,   UpperCamelCase							,   UpperCamelCase      ):



    """simple docstring"""





    lowerCAmelCase__			:  List[str]											= 0
    lowerCAmelCase__			:  Optional[Any]											= 0
    for i in range(UpperCamelCase      ):
        lowerCAmelCase__			:  Dict											= total_waiting_time + waiting_time[i]
        lowerCAmelCase__			:  Optional[Any]											= total_turn_around_time + turn_around_time[i]
    print(f"""Average waiting time = {total_waiting_time / no_of_processes:.5f}"""      )
    print("""Average turn around time ="""							,   total_turn_around_time / no_of_processes      )


if __name__ == "__main__":
 print('''Enter how many process you want to analyze''')
 _lowerCAmelCase										=     int(input())
 _lowerCAmelCase										=     [0] * no_of_processes
 _lowerCAmelCase										=     [0] * no_of_processes
 _lowerCAmelCase										=     list(range(1, no_of_processes + 1))

 for i in range(no_of_processes):
  print('''Enter the arrival time and burst time for process:--''' + str(i + 1))
  _lowerCAmelCase						,      _lowerCAmelCase										=     map(int, input().split())

 _lowerCAmelCase										=     calculate_waitingtime(arrival_time, burst_time, no_of_processes)

 _lowerCAmelCase										=     burst_time
 _lowerCAmelCase										=     no_of_processes
 _lowerCAmelCase										=     waiting_time
 _lowerCAmelCase										=     calculate_turnaroundtime(bt, n, wt)

 calculate_average_times(waiting_time, turn_around_time, no_of_processes)

 _lowerCAmelCase										=     pd.DataFrame(
     list(zip(processes, burst_time, arrival_time, waiting_time, turn_around_time)),
     columns=[
         '''Process''',
         '''BurstTime''',
         '''ArrivalTime''',
         '''WaitingTime''',
         '''TurnAroundTime''',
     ],
 )

 # Printing the dataFrame
 pd.set_option('''display.max_rows''', fcfs.shape[0] + 1)
 print(fcfs)







'''simple docstring'''





def        _SCREAMING_SNAKE_CASE  (	UpperCamelCase							,   UpperCamelCase							,   UpperCamelCase      ):



    """simple docstring"""





    def count_of_possible_combinations(UpperCamelCase      ) -> int:
        if target < 0:
            return 0
        if target == 0:
            return 1
        return sum(count_of_possible_combinations(target - item      ) for item in array      )

    return count_of_possible_combinations(UpperCamelCase      )
def        _SCREAMING_SNAKE_CASE  (	UpperCamelCase							,   UpperCamelCase							,   UpperCamelCase      ):



    """simple docstring"""





    def count_of_possible_combinations_with_dp_array(
        UpperCamelCase							,   UpperCamelCase      ) -> int:
        if target < 0:
            return 0
        if target == 0:
            return 1
        if dp_array[target] != -1:
            return dp_array[target]
        lowerCAmelCase__			:  Any											= sum(
            count_of_possible_combinations_with_dp_array(target - item							,   UpperCamelCase      )
            for item in array      )
        lowerCAmelCase__			:  Tuple											= answer
        return answer

    lowerCAmelCase__			:  Optional[int]											= [-1] * (target + 1)
    return count_of_possible_combinations_with_dp_array(UpperCamelCase							,   UpperCamelCase      )
def        _SCREAMING_SNAKE_CASE  (	UpperCamelCase							,   UpperCamelCase							,   UpperCamelCase      ):



    """simple docstring"""





    lowerCAmelCase__			:  str											= [0] * (target + 1)
    lowerCAmelCase__			:  List[Any]											= 1

    for i in range(1							,   target + 1      ):
        for j in range(UpperCamelCase      ):
            if i - array[j] >= 0:
                dp_array[i] += dp_array[i - array[j]]

    return dp_array[target]


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 _lowerCAmelCase										=     3
 _lowerCAmelCase										=     5
 _lowerCAmelCase										=     [1, 2, 5]
 print(combination_sum_iv(n, array, target))


