package g0601_0700.s0630_course_schedule_iii

// #Hard #Array #Greedy #Heap_Priority_Queue #2023_02_09_Time_536_ms_(100.00%)_Space_58_MB_(100.00%)

import java.util.PriorityQueue

class Solution {
    fun scheduleCourse(courses: Array<IntArray>): Int {
        // Sort the courses based on their deadline date.
        courses.sortWith { a: IntArray, b: IntArray ->
            a[1] - b[1]
        }
        // Only the duration is stored. We don't care which course
        // is the longest, we only care about the total courses can
        // be taken.
        // If the question wants the course ids to be returned.
        // Consider use a Pair<Duration, CourseId> int pair.
        val pq = PriorityQueue { a: Int, b: Int -> b - a }
        // Total time consumed.
        var time = 0
        // At the given time `course`, the overall "time limit" is
        // course[1]. All courses in pq is already 'valid'. But
        // adding this course[0] might exceed the course[1] limit.
        for (course in courses) {
            // If adding this course doesn't exceed. Let's add it
            // for now. (Greedy algo). We might remove it later if
            // we have a "better" solution at that time.
            if (time + course[0] <= course[1]) {
                time += course[0]
                pq.offer(course[0])
            } else {
                // If adding this ecxeeds the limit. We can still add it
                // if-and-only-if there are courses longer than current
                // one. If so, by removing a longer course, current shorter
                // course can fit in for sure. Although the total course
                // count is the same, the overall time consumed is shorter.
                // Which gives us more room for future courses.
                // Remove any course that is longer than current course
                // will work, but we remove the longest one with the help
                // of heap (pq).
                if (pq.isNotEmpty() && pq.peek() > course[0]) {
                    time -= pq.poll()
                    time += course[0]
                    pq.offer(course[0])
                }
                // If no course in consider (pq) is shorter than the
                // current course. It is safe to discard it.
            }
        }
        return pq.size
    }
}

package g0601_0700.s0630_course_schedule_iii

// #Hard #Array #Greedy #Heap_Priority_Queue #2023_02_09_Time_536_ms_(100.00%)_Space_58_MB_(100.00%)

import java.util.PriorityQueue

class Solution {
    fun scheduleCourse(courses: Array<IntArray>): Int {
        // Sort the courses based on their deadline date.
        courses.sortWith { a: IntArray, b: IntArray ->
            a[1] - b[1]
        }
        // Only the duration is stored. We don't care which course
        // is the longest, we only care about the total courses can
        // be taken.
        // If the question wants the course ids to be returned.
        // Consider use a Pair<Duration, CourseId> int pair.
        val pq = PriorityQueue { a: Int, b: Int -> b - a }
        // Total time consumed.
        var time = 0
        // At the given time `course`, the overall "time limit" is
        // course[1]. All courses in pq is already 'valid'. But
        // adding this course[0] might exceed the course[1] limit.
        for (course in courses) {
            // If adding this course doesn't exceed. Let's add it
            // for now. (Greedy algo). We might remove it later if
            // we have a "better" solution at that time.
            if (time + course[0] <= course[1]) {
                time += course[0]
                pq.offer(course[0])
            } else {
                // If adding this ecxeeds the limit. We can still add it
                // if-and-only-if there are courses longer than current
                // one. If so, by removing a longer course, current shorter
                // course can fit in for sure. Although the total course
                // count is the same, the overall time consumed is shorter.
                // Which gives us more room for future courses.
                // Remove any course that is longer than current course
                // will work, but we remove the longest one with the help
                // of heap (pq).
                if (pq.isNotEmpty() && pq.peek() > course[0]) {
                    time -= pq.poll()
                    time += course[0]
                    pq.offer(course[0])
                }
                // If no course in consider (pq) is shorter than the
                // current course. It is safe to discard it.
            }
        }
        return pq.size
    }
}
