The GitHub repository containing all the material related to the Computational Thinking and Programming course of the Digital Humanities and Digital Knowledge degree at the University of Bologna (a.a. 2022/2023).
Suppose one has to address the maximum number of activities in a day, choosing them from a set of available activities, considering that one cannot handle more than one activity simultaneously. A tuple defines each activity. The first element specifies the starting time (a value from 0 to 24, indicating the starting hour). The second element represents the finish time (a value from 0 to 24, marking the ending hour). Develop the Python function def select_activities(set_of_activities) using a greedy approach. It takes in input a set of activities of a day and returns the list of the maximum number of non-overlapping activities one can address, ordered according to the starting time. Hint: think about the finish time of each activity and see how it may affect the selection. Accompany the implementation of the function with the appropriate test cases.
Suppose one has to address the maximum number of activities in a day, choosing them from a set of available activities, considering that one cannot handle more than one activity simultaneously. A tuple defines each activity. The first element specifies the starting time (a value from 0 to 24, indicating the starting hour). The second element represents the finish time (a value from 0 to 24, marking the ending hour). Develop the Python function
def select_activities(set_of_activities)using a greedy approach. It takes in input a set of activities of a day and returns the list of the maximum number of non-overlapping activities one can address, ordered according to the starting time. Hint: think about the finish time of each activity and see how it may affect the selection. Accompany the implementation of the function with the appropriate test cases.