For business inquiries email partnerships@k2.codes Task Scheduler LeetCode coding solution. This is one of Facebook's most commonly asked interview question according to LeetCode!

Coding Interviews Task Scheduler (LeetCode) question and explanation.

This question is a commonly asked by the following companies: Facebook and Uber

Link to problem: [ Ссылка ]

Intuition behind solution: Count the number of times each type of tasks occurs with a hash map. From the values in the hash map create a max heap. While the max heap is not empty, at every "cycle" in the cpu cooldown time of n, try to run the task that occurs the most adding these tasks to a temporary list. After iterating through the cooldown time (given as n in the problem) iterate through the temporary list checking for which tasks still need to be run (if the value in the list is greater than zero add it back to the max heap). Then, increment our return value by either the size of the temporary list (i.e. all the tasks you were able to run) or by the cooldown time (if you ran out of tasks to run you have to wait the full cooldown). Finally, once the max heap is empty, return cycles.


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