Complete the code to identify the earliest start time for a task in the Critical Path Method.
earliest_start = [1]The earliest start time for the first task in a project is zero because it can begin immediately.
Complete the code to calculate the total float of a task.
total_float = latest_start - [1]Total float is the difference between the latest start and earliest start times of a task.
Fix the error in the code to calculate the earliest finish time of a task.
earliest_finish = earliest_start [1] durationThe earliest finish time is the sum of earliest start time and task duration.
Fill both blanks to create a dictionary comprehension that maps tasks to their total float if the float is greater than zero.
floats = {task: [1] for task, [2] in tasks.items() if [1] > 0}This comprehension creates a dictionary of tasks with their total float values, but only includes those with float greater than zero.
Fill all three blanks to create a dictionary comprehension that maps task names in uppercase to their durations, but only for tasks with duration greater than 5.
result = { [1]: [2] for [3], duration in tasks.items() if duration > 5}This comprehension creates a dictionary where keys are uppercase task names and values are durations, filtering tasks longer than 5 units.