Refactor dynamic programming approach of Trapping Rain Water problem.

This commit is contained in:
Oleksii Trekhleb 2018-07-27 14:04:37 +03:00
parent 340a71b7d9
commit f07e96ec59

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@ -5,81 +5,41 @@
* @return {number}
*/
export default function dpRainTerraces(terraces) {
/*
* STEPS
*
* 1. Find the highest terraces on the left and right side of the elevation map:
* e.g. for [0, 2, 4, 3, 4, 2, 4, 0, 8, 7, 0] we would have leftMax = 4 and rightMax = 8.
* This is because water will "trail off" the sides of the terraces.
*
* 2. At this point, we are essentially dealing with a new map: [4, 3, 4, 2, 4, 0, 8].
* From here, we loop through the map from the left to the right if leftMax < rightMax
* (otherwise we move from right to left), adding water as we go unless we reach a value
* that is greater than or equal to leftMax or rightMax.
* e.g. [4, 3, 4, 2, 4, 0, 8]
* ^
* water = water + (leftMax - 3) = 1
*
* or if the terrace array was reversed:
* e.g. [8, 0, 4, 2, 4, 3, 4]
* ^
* water = water + (rightMax - 3) = 1
*
* 3. Again, we've essentially shortened the map: [4, 2, 4, 0, 8].
* Now we repeat the above steps on the new array.
*
* Next Iteration:
* [4, 2, 4, 0, 8]
* ^
* water = water + (leftMax - 2) = 3
*
* Next Iteration:
* [4, 0, 8]
* ^
* water = water + (leftMax - 0) = 7
*
* 4. Return result: 7
*/
let leftIndex = 0;
let rightIndex = terraces.length - 1;
let leftMaxLevel = 0;
let rightMaxLevel = 0;
let waterAmount = 0;
while (leftIndex < rightIndex) {
// Loop to find the highest terrace from the left side.
while (leftIndex < rightIndex && terraces[leftIndex] <= terraces[leftIndex + 1]) {
leftIndex += 1;
}
// Init arrays that will keep the list of left and right maximum levels for specific positions.
const leftMaxLevels = new Array(terraces.length).fill(0);
const rightMaxLevels = new Array(terraces.length).fill(0);
leftMaxLevel = terraces[leftIndex];
// Calculate the highest terrace level from the LEFT relative to the current terrace.
[leftMaxLevels[0]] = terraces;
for (let terraceIndex = 1; terraceIndex < terraces.length; terraceIndex += 1) {
leftMaxLevels[terraceIndex] = Math.max(
terraces[terraceIndex],
leftMaxLevels[terraceIndex - 1],
);
}
// Loop to find the highest terrace from the right side.
while (rightIndex > leftIndex && terraces[rightIndex] <= terraces[rightIndex - 1]) {
rightIndex -= 1;
}
// Calculate the highest terrace level from the RIGHT relative to the current terrace.
rightMaxLevels[terraces.length - 1] = terraces[terraces.length - 1];
for (let terraceIndex = terraces.length - 2; terraceIndex >= 0; terraceIndex -= 1) {
rightMaxLevels[terraceIndex] = Math.max(
terraces[terraceIndex],
rightMaxLevels[terraceIndex + 1],
);
}
rightMaxLevel = terraces[rightIndex];
// Not let's go through all terraces one by one and calculate how much water
// each terrace may accumulate based on previously calculated values.
for (let terraceIndex = 0; terraceIndex < terraces.length; terraceIndex += 1) {
// Pick the lowest from the left/right highest terraces.
const currentTerraceBoundary = Math.min(
leftMaxLevels[terraceIndex],
rightMaxLevels[terraceIndex],
);
// Determine which direction we need to go.
if (leftMaxLevel < rightMaxLevel) {
// Move from left to right and collect water.
leftIndex += 1;
while (leftIndex < rightIndex && terraces[leftIndex] <= leftMaxLevel) {
waterAmount += leftMaxLevel - terraces[leftIndex];
leftIndex += 1;
}
} else {
// Move from right to left and collect water.
rightIndex -= 1;
while (leftIndex < rightIndex && terraces[rightIndex] <= rightMaxLevel) {
waterAmount += rightMaxLevel - terraces[rightIndex];
rightIndex -= 1;
}
if (currentTerraceBoundary > terraces[terraceIndex]) {
waterAmount += currentTerraceBoundary - terraces[terraceIndex];
}
}