1387. Sort Integers by The Power Value
The power of an integer x is defined as the number of steps needed to transform x into 1 using the following steps:
- if x is even then x = x / 2
- if x is odd then x = 3 * x + 1
For example, the power of x = 3 is 7 because 3 needs 7 steps to become 1 (3 –> 10 –> 5 –> 16 –> 8 –> 4 –> 2 –> 1).
Given three integers lo, hi and k. The task is to sort all integers in the interval [lo, hi] by the power value in ascending order, if two or more integers have the same power value sort them by ascending order.
Return the k-th integer in the range [lo, hi] sorted by the power value.
Notice that for any integer x (lo <= x <= hi) it is guaranteed that x will transform into 1 using these steps and that the power of x is will fit in 32 bit signed integer.
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| Example 1:
Input: lo = 12, hi = 15, k = 2
Output: 13
Explanation: The power of 12 is 9 (12 --> 6 --> 3 --> 10 --> 5 --> 16 --> 8 --> 4 --> 2 --> 1)
The power of 13 is 9
The power of 14 is 17
The power of 15 is 17
The interval sorted by the power value [12,13,14,15]. For k = 2 answer is the second element which is 13.
Notice that 12 and 13 have the same power value and we sorted them in ascending order. Same for 14 and 15.
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| Example 2:
Input: lo = 1, hi = 1, k = 1
Output: 1
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| Example 3:
Input: lo = 7, hi = 11, k = 4
Output: 7
Explanation: The power array corresponding to the interval [7, 8, 9, 10, 11] is [16, 3, 19, 6, 14].
The interval sorted by power is [8, 10, 11, 7, 9].
The fourth number in the sorted array is 7.
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| Example 4:
Input: lo = 10, hi = 20, k = 5
Output: 13
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| Example 5:
Input: lo = 1, hi = 1000, k = 777
Output: 570
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Constraints:
- 1 <= lo <= hi <= 1000
- 1 <= k <= hi - lo + 1
Solution#
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| class Solution {
Map<Integer, Integer> cache = new HashMap<>();
public int getKth(int lo, int hi, int k) {
var powIndex = new PriorityQueue<int[]>((a, b) -> {
int c = Integer.compare(a[0], b[0]);
if (c != 0) return c;
return Integer.compare(a[1], b[1]);
});
cache.put(0, 0);
cache.put(1, 0);
for (int i = lo; i <= hi; i++) {
int steps = power(i);
powIndex.add(new int[] {steps, i});
}
while (--k > 0) {
powIndex.poll();
}
return powIndex.poll()[1];
}
int power(int x) {
if (x == 1) return 0;
if (cache.containsKey(x)) {
return cache.get(x);
}
int power = 1 + ((x % 2 == 0) ? power(x / 2) : power( 3 * x + 1));
cache.put(x, power);
return power;
}
}
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