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Improve readability of Kotlin code (#1236)
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* style(kotlin): Improve kotlin codes readability.

* remove redundant quotes.

* style(kotlin): improve codes readability.
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curtishd authored Apr 8, 2024
1 parent ba1df4a commit 3fe8f67
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Showing 12 changed files with 46 additions and 51 deletions.
16 changes: 5 additions & 11 deletions codes/kotlin/chapter_greedy/fractional_knapsack.kt
Original file line number Diff line number Diff line change
Expand Up @@ -6,34 +6,28 @@

package chapter_greedy

import java.util.*

/* 物品 */
class Item(
val w: Int, // 物品
val v: Int // 物品价值
val v: Int // 物品价值
)

/* 分数背包:贪心 */
fun fractionalKnapsack(
wgt: IntArray,
value: IntArray,
c: Int
): Double {
fun fractionalKnapsack(wgt: IntArray, _val: IntArray, c: Int): Double {
// 创建物品列表,包含两个属性:重量、价值
var cap = c
val items = arrayOfNulls<Item>(wgt.size)
for (i in wgt.indices) {
items[i] = Item(wgt[i], value[i])
items[i] = Item(wgt[i], _val[i])
}
// 按照单位价值 item.v / item.w 从高到低进行排序
Arrays.sort(items, Comparator.comparingDouble { item: Item -> -(item.v.toDouble() / item.w) })
items.sortBy { item: Item? -> -(item!!.v.toDouble() / item.w) }
// 循环贪心选择
var res = 0.0
for (item in items) {
if (item!!.w <= cap) {
// 若剩余容量充足,则将当前物品整个装进背包
res += item.v.toDouble()
res += item.v
cap -= item.w
} else {
// 若剩余容量不足,则将当前物品的一部分装进背包
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4 changes: 2 additions & 2 deletions codes/kotlin/chapter_greedy/max_capacity.kt
Original file line number Diff line number Diff line change
Expand Up @@ -19,8 +19,8 @@ fun maxCapacity(ht: IntArray): Int {
// 循环贪心选择,直至两板相遇
while (i < j) {
// 更新最大容量
val cap = (min(ht[i].toDouble(), ht[j].toDouble()) * (j - i)).toInt()
res = max(res.toDouble(), cap.toDouble()).toInt()
val cap = min(ht[i], ht[j]) * (j - i)
res = max(res, cap)
// 向内移动短板
if (ht[i] < ht[j]) {
i++
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6 changes: 3 additions & 3 deletions codes/kotlin/chapter_greedy/max_product_cutting.kt
Original file line number Diff line number Diff line change
Expand Up @@ -19,14 +19,14 @@ fun maxProductCutting(n: Int): Int {
val b = n % 3
if (b == 1) {
// 当余数为 1 时,将一对 1 * 3 转化为 2 * 2
return 3.0.pow((a - 1).toDouble()).toInt() * 2 * 2
return 3.0.pow((a - 1)).toInt() * 2 * 2
}
if (b == 2) {
// 当余数为 2 时,不做处理
return 3.0.pow(a.toDouble()).toInt() * 2 * 2
return 3.0.pow(a).toInt() * 2 * 2
}
// 当余数为 0 时,不做处理
return 3.0.pow(a.toDouble()).toInt()
return 3.0.pow(a).toInt()
}

/* Driver Code */
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28 changes: 12 additions & 16 deletions codes/kotlin/chapter_hashing/array_hash_map.kt
Original file line number Diff line number Diff line change
Expand Up @@ -14,15 +14,9 @@ class Pair(

/* 基于数组实现的哈希表 */
class ArrayHashMap {
// 初始化数组,包含 100 个桶
private val buckets = arrayOfNulls<Pair>(100)

init {
// 初始化数组,包含 100 个桶
for (i in 0..<100) {
buckets[i] = null
}
}

/* 哈希函数 */
fun hashFunc(key: Int): Int {
val index = key % 100
Expand Down Expand Up @@ -52,25 +46,27 @@ class ArrayHashMap {

/* 获取所有键值对 */
fun pairSet(): MutableList<Pair> {
val pairSet = ArrayList<Pair>()
val pairSet = mutableListOf<Pair>()
for (pair in buckets) {
if (pair != null) pairSet.add(pair)
if (pair != null)
pairSet.add(pair)
}
return pairSet
}

/* 获取所有键 */
fun keySet(): MutableList<Int> {
val keySet = ArrayList<Int>()
val keySet = mutableListOf<Int>()
for (pair in buckets) {
if (pair != null) keySet.add(pair.key)
if (pair != null)
keySet.add(pair.key)
}
return keySet
}

/* 获取所有值 */
fun valueSet(): MutableList<String> {
val valueSet = ArrayList<String>()
val valueSet = mutableListOf<String>()
for (pair in buckets) {
pair?.let { valueSet.add(it.value) }
}
Expand All @@ -82,7 +78,7 @@ class ArrayHashMap {
for (kv in pairSet()) {
val key = kv.key
val value = kv.value
println("${key}->${value}")
println("${key} -> ${value}")
}
}
}
Expand All @@ -104,7 +100,7 @@ fun main() {

/* 查询操作 */
// 向哈希表中输入键 key ,得到值 value
val name: String? = map.get(15937)
val name = map.get(15937)
println("\n输入学号 15937 ,查询到姓名 $name")

/* 删除操作 */
Expand All @@ -114,7 +110,7 @@ fun main() {
map.print()

/* 遍历哈希表 */
println("\n遍历键值对 Key->Value")
println("\n遍历键值对 Key -> Value")
for (kv in map.pairSet()) {
println("${kv.key} -> ${kv.value}")
}
Expand All @@ -126,4 +122,4 @@ fun main() {
for (value in map.valueSet()) {
println(value)
}
}
}
6 changes: 3 additions & 3 deletions codes/kotlin/chapter_hashing/built_in_hash.kt
Original file line number Diff line number Diff line change
Expand Up @@ -11,15 +11,15 @@ import utils.ListNode
/* Driver Code */
fun main() {
val num = 3
val hashNum = Integer.hashCode(num)
val hashNum = num.hashCode()
println("整数 $num 的哈希值为 $hashNum")

val bol = true
val hashBol = Boolean.hashCode()
val hashBol = bol.hashCode()
println("布尔量 $bol 的哈希值为 $hashBol")

val dec = 3.14159
val hashDec = java.lang.Double.hashCode(dec)
val hashDec = dec.hashCode()
println("小数 $dec 的哈希值为 $hashDec")

val str = "Hello 算法"
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2 changes: 1 addition & 1 deletion codes/kotlin/chapter_hashing/hash_map.kt
Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@ import utils.printHashMap
/* Driver Code */
fun main() {
/* 初始化哈希表 */
val map: MutableMap<Int, String> = HashMap()
val map = HashMap<Int, String>()

/* 添加操作 */
// 在哈希表中添加键值对 (key, value)
Expand Down
2 changes: 1 addition & 1 deletion codes/kotlin/chapter_hashing/hash_map_chaining.kt
Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,7 @@ class HashMapChaining() {
capacity = 4
loadThres = 2.0 / 3.0
extendRatio = 2
buckets = ArrayList(capacity)
buckets = mutableListOf()
for (i in 0..<capacity) {
buckets.add(mutableListOf())
}
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17 changes: 11 additions & 6 deletions codes/kotlin/chapter_hashing/hash_map_open_addressing.kt
Original file line number Diff line number Diff line change
Expand Up @@ -8,16 +8,21 @@ package chapter_hashing

/* 开放寻址哈希表 */
class HashMapOpenAddressing {
private var size: Int = 0 // 键值对数量
private var capacity = 4 // 哈希表容量
private val loadThres: Double = 2.0 / 3.0 // 触发扩容的负载因子阈值
private val extendRatio = 2 // 扩容倍数
private var buckets: Array<Pair?> // 桶数组
private val TOMBSTONE = Pair(-1, "-1") // 删除标记
private var size: Int // 键值对数量
private var capacity: Int // 哈希表容量
private val loadThres: Double // 触发扩容的负载因子阈值
private val extendRatio: Int // 扩容倍数
private var buckets: Array<Pair?> // 桶数组
private val TOMBSTONE: Pair // 删除标记

/* 构造方法 */
init {
size = 0
capacity = 4
loadThres = 2.0 / 3.0
extendRatio = 2
buckets = arrayOfNulls(capacity)
TOMBSTONE = Pair(-1, "-1")
}

/* 哈希函数 */
Expand Down
4 changes: 2 additions & 2 deletions codes/kotlin/chapter_hashing/simple_hash.kt
Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@

package chapter_hashing

const val MODULUS = 10_0000_0007
const val MODULUS = 1000000007

/* 加法哈希 */
fun addHash(key: String): Int {
Expand Down Expand Up @@ -48,7 +48,7 @@ fun rotHash(key: String): Int {
fun main() {
val key = "Hello 算法"

var hash: Int = addHash(key)
var hash = addHash(key)
println("加法哈希值为 $hash")

hash = mulHash(key)
Expand Down
2 changes: 1 addition & 1 deletion codes/kotlin/chapter_heap/heap.kt
Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,7 @@ fun testPop(heap: Queue<Int>) {
fun main() {
/* 初始化堆 */
// 初始化小顶堆
val minHeap: PriorityQueue<Int>
var minHeap = PriorityQueue<Int>()

// 初始化大顶堆(使用 lambda 表达式修改 Comparator 即可)
val maxHeap = PriorityQueue { a: Int, b: Int -> b - a }
Expand Down
9 changes: 5 additions & 4 deletions codes/kotlin/chapter_heap/my_heap.kt
Original file line number Diff line number Diff line change
Expand Up @@ -10,13 +10,14 @@ import utils.printHeap
import java.util.*

/* 大顶堆 */
class MaxHeap(nums: List<Int>?) {
class MaxHeap(nums: MutableList<Int>?) {
// 使用列表而非数组,这样无须考虑扩容问题
// 将列表元素原封不动添加进堆
private val maxHeap = ArrayList(nums!!)
private val maxHeap = mutableListOf<Int>()

/* 构造函数,根据输入列表建堆 */
/* 构造方法,根据输入列表建堆 */
init {
// 将列表元素原封不动添加进堆
maxHeap.addAll(nums!!)
// 堆化除叶节点以外的其他所有节点
for (i in parent(size() - 1) downTo 0) {
siftDown(i)
Expand Down
1 change: 0 additions & 1 deletion codes/kotlin/chapter_searching/hashing_search.kt
Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,6 @@
package chapter_searching

import utils.ListNode
import java.util.HashMap

/* 哈希查找(数组) */
fun hashingSearchArray(map: Map<Int?, Int>, target: Int): Int {
Expand Down

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