priority = [ 2, 6, 1, 7, 10, 8, 5] time = [30,200,20,70,120,60, 150] # # define number of tasks: don't hardwire this but rather use the len() command n_tasks = len(priority) max_time = 480 print ( f"TASK PRIORITY TIME TO COMPLETE") # you need to add an appropriate for loop here and modify the next print statement so that you can print out all tasks for n in range(0,n_tasks): print (f" {[n]} {priority[n]} {time[n]}")

test_list = [ 4, 5, 3, 7, 11, 2] max_value = max(test_list) # use function max() to find maximum value in list max_index = test_list.index(max_value) # use method list.index () to find the index where this max occurs print (f"Max value: {max_value}, Occurs at index: {max_index}") # print out results in formatted statement

test_list = [ 4, 5, 3, 7, 11, 2] time_list = [30, 45, 20, 120, 90, 70 ] max_value = max(test_list) max_index = test_list.index(max_value) task_time = time_list[max_index] # input the time it takes to complete this task print (f"Max value: {max_value}, Occurs at index: {max_index}, Time to complete the task is: {task_time} minutes." ) # print out values as in Step #2 plus the time it takes to complete task

max_time = 6 * 60 # this is not the maximum time available for your example but rather for testing time_used = 3 * 60 # # Following 6 statements are from Step 3 test_list = [ 4, 5, 3, 7, 11, 2] time_list = [30, 45, 20, 120, 90, 70 ] max_value = max(test_list) max_index = test_list.index(max_value) task_time = time_list[max_index] print (f"Max value: {max_value}, Occurs at index: {max_index}, Time to complete the task is: {task_time} minutes.") # # Add conditional to see if this task can be completed in the allotted time if ( task_time < max_time ) : # if conditional is true, i.e., task can be completed update time_used # add print statements updated_time = time_used + task_time print(f"The amount of time remaining is: {updated_time}") else: print("Not enough time")

# Input problem specific data and print it out from Step 1 priority = [ 2, 6, 1, 7, 10, 8, 5] time = [30,200,20,70,120,60, 150] n_tasks = len(priority) max_time = 480 total_time = 0 currentTime = 0 print ( f"TASK PRIORITY TIME TO COMPLETE") # # Initialize any variables before loop # # add for loop to go through all tasks # for n in range(0,n_tasks): Max_Prio = max(priority) indexMax = priority.index(Max_Prio) time2 = time[indexMax] total_time = total_time + time2 print (f" {n + 1} {Max_Prio} {time2}") if (currentTime + time2 <= max_time): currentTime = currentTime + time2 print(f"Completed in {time2} minutes, Priority {Max_Prio}, Reamining time: {max_time-currentTime}") else: print(f"Task {n + 1} cannot be completed in time." ) priority[indexMax] = 0 print(f"Time used for all tasks in day 1: {total_time}") # find highest priority left and task number it corresponds to from Step 3/4 # # zero out this entry in the priority list so you won't find it again # # add conditional to check to see if task can be completed as in Step 4 # # Print out the total time used for all tasks in day 1

priority = [ 2, 6, 1, 7, 10, 8, 5] time = [30,200,20,70,120,60, 150] n_tasks = len(priority) max_time = 480 total_time = 0 currentTime = 0 print ( f"TASK PRIORITY TIME TO COMPLETE") # # Initialize any variables before loop # # add for loop to go through all tasks # for n in range(0,n_tasks): Max_Prio = max(priority) indexMax = priority.index(Max_Prio) time2 = time[indexMax] total_time = total_time + time2 print (f" {n + 1} {Max_Prio} {time2}") if (currentTime + time2 <= max_time): currentTime = currentTime + time2 print(f"Completed in {time2} minutes, Priority {Max_Prio}, Reamining time: {max_time-currentTime}") if (currentTime == max_time): break else: print(f"Task {n + 1} cannot be completed in time." ) priority[indexMax] = 0 print(f"Time used for all tasks in day 1: {total_time}")

# Input problem specific data old_priority = [ 2, 6, 1, 7, 10, 8, 5] time = [30,200,20,70,120,60, 150] # n_tasks = # # Create new priority list containing ratios # priority = [] # initialize the list which contains the new priorities which are original priority divided by # time it takes to complete this task # add for loop to create this list # use method .append() to create elements of the new priority list # # Remainder of code should be the same; this is because we called the new list which contained the ratios the same as # before.