Feature/chapter searching swift (#673)

* fix: remove binary_search_edge

* feat: add Swift codes for binary_search_insertion article

* feat: add Swift codes for binary_search_edge article
This commit is contained in:
nuomi1
2023-08-06 23:09:32 +08:00
committed by GitHub
parent 08e4924054
commit fceea4bbda
4 changed files with 123 additions and 1 deletions
+4 -1
View File
@@ -48,6 +48,7 @@ let package = Package(
.executable(name: "graph_dfs", targets: ["graph_dfs"]),
// chapter_searching
.executable(name: "binary_search", targets: ["binary_search"]),
.executable(name: "binary_search_insertion", targets: ["binary_search_insertion"]),
.executable(name: "binary_search_edge", targets: ["binary_search_edge"]),
.executable(name: "two_sum", targets: ["two_sum"]),
.executable(name: "linear_search", targets: ["linear_search"]),
@@ -91,6 +92,7 @@ let package = Package(
// helper
.target(name: "utils", path: "utils"),
.target(name: "graph_adjacency_list_target", dependencies: ["utils"], path: "chapter_graph", sources: ["graph_adjacency_list_target.swift"], swiftSettings: [.define("TARGET")]),
.target(name: "binary_search_insertion_target", path: "chapter_searching", sources: ["binary_search_insertion_target.swift"], swiftSettings: [.define("TARGET")]),
// chapter_computational_complexity
.executableTarget(name: "time_complexity", path: "chapter_computational_complexity", sources: ["time_complexity.swift"]),
.executableTarget(name: "worst_best_time_complexity", path: "chapter_computational_complexity", sources: ["worst_best_time_complexity.swift"]),
@@ -134,7 +136,8 @@ let package = Package(
.executableTarget(name: "graph_dfs", dependencies: ["utils", "graph_adjacency_list_target"], path: "chapter_graph", sources: ["graph_dfs.swift"]),
// chapter_searching
.executableTarget(name: "binary_search", path: "chapter_searching", sources: ["binary_search.swift"]),
.executableTarget(name: "binary_search_edge", path: "chapter_searching", sources: ["binary_search_edge.swift"]),
.executableTarget(name: "binary_search_insertion", path: "chapter_searching", sources: ["binary_search_insertion.swift"]),
.executableTarget(name: "binary_search_edge", dependencies: ["binary_search_insertion_target"], path: "chapter_searching", sources: ["binary_search_edge.swift"]),
.executableTarget(name: "two_sum", path: "chapter_searching", sources: ["two_sum.swift"]),
.executableTarget(name: "linear_search", dependencies: ["utils"], path: "chapter_searching", sources: ["linear_search.swift"]),
.executableTarget(name: "hashing_search", dependencies: ["utils"], path: "chapter_searching", sources: ["hashing_search.swift"]),
@@ -0,0 +1,51 @@
/**
* File: binary_search_edge.swift
* Created Time: 2023-08-06
* Author: nuomi1 (nuomi1@qq.com)
*/
import binary_search_insertion_target
/* 二分查找最左一个 target */
func binarySearchLeftEdge(nums: [Int], target: Int) -> Int {
// 等价于查找 target 的插入点
let i = binarySearchInsertion(nums: nums, target: target)
// 未找到 target ,返回 -1
if i == nums.count || nums[i] != target {
return -1
}
// 找到 target ,返回索引 i
return i
}
/* 二分查找最右一个 target */
func binarySearchRightEdge(nums: [Int], target: Int) -> Int {
// 转化为查找最左一个 target + 1
let i = binarySearchInsertion(nums: nums, target: target + 1)
// j 指向最右一个 target ,i 指向首个大于 target 的元素
let j = i - 1
// 未找到 target ,返回 -1
if j == -1 || nums[j] != target {
return -1
}
// 找到 target ,返回索引 j
return j
}
@main
enum BinarySearchEdge {
/* Driver Code */
static func main() {
// 包含重复元素的数组
let nums = [1, 3, 6, 6, 6, 6, 6, 10, 12, 15]
print("\n数组 nums = \(nums)")
// 二分查找左边界和右边界
for target in [6, 7] {
var index = binarySearchLeftEdge(nums: nums, target: target)
print("最左一个元素 \(target) 的索引为 \(index)")
index = binarySearchRightEdge(nums: nums, target: target)
print("最右一个元素 \(target) 的索引为 \(index)")
}
}
}
@@ -0,0 +1,67 @@
/**
* File: binary_search_insertion.swift
* Created Time: 2023-08-06
* Author: nuomi1 (nuomi1@qq.com)
*/
/* 二分查找插入点(无重复元素) */
func binarySearchInsertionSimple(nums: [Int], target: Int) -> Int {
var i = 0, j = nums.count - 1 // 初始化双闭区间 [0, n-1]
while i <= j {
let m = i + (j - i) / 2 // 计算中点索引 m
if nums[m] < target {
i = m + 1 // target 在区间 [m+1, j] 中
} else if nums[m] > target {
j = m - 1 // target 在区间 [i, m-1] 中
} else {
return m // 找到 target ,返回插入点 m
}
}
// 未找到 target ,返回插入点 i
return i
}
/* 二分查找插入点(存在重复元素) */
public func binarySearchInsertion(nums: [Int], target: Int) -> Int {
var i = 0, j = nums.count - 1 // 初始化双闭区间 [0, n-1]
while i <= j {
let m = i + (j - i) / 2 // 计算中点索引 m
if nums[m] < target {
i = m + 1 // target 在区间 [m+1, j] 中
} else if nums[m] > target {
j = m - 1 // target 在区间 [i, m-1] 中
} else {
j = m - 1 // 首个小于 target 的元素在区间 [i, m-1] 中
}
}
// 返回插入点 i
return i
}
#if !TARGET
@main
enum BinarySearchInsertion {
/* Driver Code */
static func main() {
// 无重复元素的数组
var nums = [1, 3, 6, 8, 12, 15, 23, 26, 31, 35]
print("\n数组 nums = \(nums)")
// 二分查找插入点
for target in [6, 9] {
let index = binarySearchInsertionSimple(nums: nums, target: target)
print("元素 \(target) 的插入点的索引为 \(index)")
}
// 包含重复元素的数组
nums = [1, 3, 6, 6, 6, 6, 6, 10, 12, 15]
print("\n数组 nums = \(nums)")
// 二分查找插入点
for target in [2, 6, 20] {
let index = binarySearchInsertion(nums: nums, target: target)
print("元素 \(target) 的插入点的索引为 \(index)")
}
}
}
#endif
@@ -0,0 +1 @@
binary_search_insertion.swift