1370. Increasing Decreasing String*

本文详细解析了LeetCode上一道关于字符串重新排序的算法题——Increasing Decreasing String,介绍了如何通过哈希表(或数组)来实现字符串中字符的计数,并运用特定的算法步骤进行排序,最终得到按先增后减顺序排列的新字符串。

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1370. Increasing Decreasing String*

https://leetcode.com/problems/increasing-decreasing-string/

题目描述

Given a string s. You should re-order the string using the following algorithm:

  1. Pick the smallest character from s and append it to the result.
  2. Pick the smallest character from s which is greater than the last appended character to the result and append it.
  3. Repeat step 2 until you cannot pick more characters.
  4. Pick the largest character from s and append it to the result.
  5. Pick the largest character from s which is smaller than the last appended character to the result and append it.
  6. Repeat step 5 until you cannot pick more characters.
  7. Repeat the steps from 1 to 6 until you pick all characters from s.

In each step, If the smallest or the largest character appears more than once you can choose any occurrence and append it to the result.

Return the result string after sorting s with this algorithm.

Example 1:

Input: s = "aaaabbbbcccc"
Output: "abccbaabccba"
Explanation: After steps 1, 2 and 3 of the first iteration, result = "abc"
After steps 4, 5 and 6 of the first iteration, result = "abccba"
First iteration is done. Now s = "aabbcc" and we go back to step 1
After steps 1, 2 and 3 of the second iteration, result = "abccbaabc"
After steps 4, 5 and 6 of the second iteration, result = "abccbaabccba"

Example 2:

Input: s = "rat"
Output: "art"
Explanation: The word "rat" becomes "art" after re-ordering it with the mentioned algorithm.

Example 3:

Input: s = "leetcode"
Output: "cdelotee"

Example 4:

Input: s = "ggggggg"
Output: "ggggggg"

Example 5:

Input: s = "spo"
Output: "ops"

Constraints:

  • 1 <= s.length <= 500
  • s contains only lower-case English letters.

C++ 实现 1

参考 [Java/Python 3] Two clean codes w/ explanation and analysis.

但这里采用哈希表解决, 当然也可以使用大小为 26 的数组来表示哈希表, 用于对字符串 s 中字符的计数. 引入辅助函数 add, 如果 asctrue, 那么在哈希表中从小到大查找字符; 如果为 false, 那么从大到小查找字符.

class Solution {
private:
    void add(string &res, unordered_map<char, int> &record, bool asc) {
        for (int i = 0; i < 26; ++ i) {
            auto idx = asc ? i : 25 - i;
            char c = 'a' + idx;
            if (record.count(c)) {
                res += c;
                record[c] --;
                if (record[c] == 0) record.erase(c);
            }
        }
    }
public:
    string sortString(string s) {
        unordered_map<char, int> record;
        for (auto &c : s) record[c] ++;
        string res;
        while (res.size() < s.size()) {
            add(res, record, true);
            add(res, record, false);
        }
        return res;
    }
};
/** * Verify focus distance control. * * Assumption: * - First repeatStart+1 elements of requestedDistances share the same value * - Last repeatEnd+1 elements of requestedDistances share the same value * - All elements in between are monotonically increasing/decreasing depending on ascendingOrder. * - Focuser is at requestedDistances[0] at the beginning of the test. * * @param requestedDistances The requested focus distances * @param resultDistances The result focus distances * @param lensStates The result lens states * @param ascendingOrder The order of the expected focus distance request/output * @param noOvershoot Assert that focus control doesn't overshoot the requested value * @param repeatStart The number of times the starting focus distance is repeated * @param repeatEnd The number of times the ending focus distance is repeated * @param errorMargin The error margin between request and result */ private void verifyFocusDistance(float[] requestedDistances, float[] resultDistances, int[] lensStates, boolean ascendingOrder, boolean noOvershoot, int repeatStart, int repeatEnd, float errorMargin) { float minValue = 0; float maxValue = mStaticInfo.getMinimumFocusDistanceChecked(); float hyperfocalDistance = 0; if (mStaticInfo.areKeysAvailable(CameraCharacteristics.LENS_INFO_HYPERFOCAL_DISTANCE)) { hyperfocalDistance = mStaticInfo.getHyperfocalDistanceChecked(); } // Verify lens and focus distance do not change for first repeatStart // results. for (int i = 0; i < repeatStart; i ++) { float marginMin = requestedDistances[i] * (1.0f - errorMargin); // HAL may choose to use hyperfocal distance for all distances between [0, hyperfocal]. float marginMax = Math.max(requestedDistances[i], hyperfocalDistance) * (1.0f + errorMargin); mCollector.expectEquals("Lens moves even though focus_distance didn't change", lensStates[i], CaptureResult.LENS_STATE_STATIONARY); if (noOvershoot) { mCollector.expectInRange("Focus distance in result should be close enough to " + "requested value", resultDistances[i], marginMin, marginMax); } mCollector.expectInRange("Result focus distance is out of range", resultDistances[i], minValue, maxValue); } for (int i = repeatStart; i < resultDistances.length-1; i ++) { float marginMin = requestedDistances[i] * (1.0f - errorMargin); // HAL may choose to use hyperfocal distance for all distances between [0, hyperfocal]. float marginMax = Math.max(requestedDistances[i], hyperfocalDistance) * (1.0f + errorMargin); if (noOvershoot) { // Result focus distance shouldn't overshoot the request boolean condition; if (ascendingOrder) { condition = resultDistances[i] <= marginMax; } else { condition = resultDistances[i] >= marginMin; } mCollector.expectTrue(String.format( "Lens shouldn't move past request focus distance. result " + resultDistances[i] + " vs target of " + (ascendingOrder ? marginMax : marginMin)), condition); } // Verify monotonically increased focus distance setting boolean condition; float compareDistance = resultDistances[i+1] - resultDistances[i]; if (i < resultDistances.length-1-repeatEnd) { condition = (ascendingOrder ? compareDistance > 0 : compareDistance < 0); } else { condition = (ascendingOrder ? compareDistance >= 0 : compareDistance <= 0); } mCollector.expectTrue(String.format("Adjacent [resultDistances, lens_state] results [" + resultDistances[i] + "," + lensStates[i] + "], [" + resultDistances[i+1] + "," + lensStates[i+1] + "] monotonicity is broken"), condition); } mCollector.expectTrue(String.format("All values of this array are equal: " + resultDistances[0] + " " + resultDistances[resultDistances.length-1]), resultDistances[0] != resultDistances[resultDistances.length-1]); // Verify lens moved to destination location. mCollector.expectInRange("Focus distance " + resultDistances[resultDistances.length-1] + " for minFocusDistance should be closed enough to requested value " + requestedDistances[requestedDistances.length-1], resultDistances[resultDistances.length-1], requestedDistances[requestedDistances.length-1] * (1.0f - errorMargin), requestedDistances[requestedDistances.length-1] * (1.0f + errorMargin)); }解释这个函数
最新发布
07-26
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