Many bug fixes and improvements (#1270)

* Add Ruby and Kotlin icons
Add the avatar of @curtishd

* Update README

* Synchronize zh-hant and zh versions.

* Translate the pythontutor blocks to traditional Chinese

* Fix en/mkdocs.yml

* Update the landing page of the en version.

* Fix the Dockerfile

* Refine the en landingpage

* Fix en landing page

* Reset the README.md

zh-hant/codes/kotlin/chapter_dynamic_programming/unbounded_knapsack.kt

@@ -9,11 +9,7 @@ package chapter_dynamic_programming
 import kotlin.math.max
 
 /* 完全背包：動態規劃 */
-fun unboundedKnapsackDP(
-    wgt: IntArray,
-    value: IntArray,
-    cap: Int
-): Int {
+fun unboundedKnapsackDP(wgt: IntArray, _val: IntArray, cap: Int): Int {
     val n = wgt.size
     // 初始化 dp 表
     val dp = Array(n + 1) { IntArray(cap + 1) }
@@ -25,8 +21,7 @@ fun unboundedKnapsackDP(
                 dp[i][c] = dp[i - 1][c]
             } else {
                 // 不選和選物品 i 這兩種方案的較大值
-                dp[i][c] = max(dp[i - 1][c].toDouble(), (dp[i][c - wgt[i - 1]] + value[i - 1]).toDouble())
-                    .toInt()
+                dp[i][c] = max(dp[i - 1][c], dp[i][c - wgt[i - 1]] + _val[i - 1])
             }
         }
     }
@@ -36,7 +31,7 @@ fun unboundedKnapsackDP(
 /* 完全背包：空間最佳化後的動態規劃 */
 fun unboundedKnapsackDPComp(
     wgt: IntArray,
-    value: IntArray,
+    _val: IntArray,
     cap: Int
 ): Int {
     val n = wgt.size
@@ -50,8 +45,7 @@ fun unboundedKnapsackDPComp(
                 dp[c] = dp[c]
             } else {
                 // 不選和選物品 i 這兩種方案的較大值
-                dp[c] =
-                    max(dp[c].toDouble(), (dp[c - wgt[i - 1]] + value[i - 1]).toDouble()).toInt()
+                dp[c] = max(dp[c], dp[c - wgt[i - 1]] + _val[i - 1])
             }
         }
     }
@@ -61,14 +55,14 @@ fun unboundedKnapsackDPComp(
 /* Driver Code */
 fun main() {
     val wgt = intArrayOf(1, 2, 3)
-    val value = intArrayOf(5, 11, 15)
+    val _val = intArrayOf(5, 11, 15)
     val cap = 4
 
     // 動態規劃
-    var res = unboundedKnapsackDP(wgt, value, cap)
+    var res = unboundedKnapsackDP(wgt, _val, cap)
     println("不超過背包容量的最大物品價值為 $res")
 
     // 空間最佳化後的動態規劃
-    res = unboundedKnapsackDPComp(wgt, value, cap)
+    res = unboundedKnapsackDPComp(wgt, _val, cap)
     println("不超過背包容量的最大物品價值為 $res")
 }