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leetcode/array/1binary search/35search-insert-position/python/35. 搜索插入位置.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# [35. 搜索插入位置](https://leetcode.cn/problems/search-insert-position)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 题目描述\n",
"\n",
" 给定一个排序数组和一个目标值,在数组中找到目标值,并返回其索引。如果目标值不存在于数组中,返回它将会被按顺序插入的位置。\n",
"\n",
"请必须使用时间复杂度为 `O(log n)` 的算法。\n",
"\n",
"**示例 1:**\n",
"\n",
"```txt\n",
"输入: nums = [1,3,5,6], target = 5\n",
"输出: 2\n",
"```\n",
"\n",
"**示例 2:**\n",
"\n",
"```txt\n",
"输入: nums = [1,3,5,6], target = 2\n",
"输出: 1\n",
"```\n",
"\n",
"**示例 3:**\n",
"\n",
"```txt\n",
"输入: nums = [1,3,5,6], target = 7\n",
"输出: 4\n",
"```\n",
"\n",
"**提示:**\n",
"\n",
"- `1 <= nums.length <= 10^4`\n",
"- `-10^4 <= nums[i] <= 10^4`\n",
"- `nums` 为 **无重复元素** 的 **升序** 排列数组\n",
"- `-10^4 <= target <= 10^4`"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"---\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 解答\n",
"\n",
" "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"class Solution(object):\n",
" def searchInsert(self, nums, target):\n",
" \"\"\"\n",
" :type nums: List[int]\n",
" :type target: int\n",
" :rtype: int\n",
" \"\"\"\n",
" left, right = 0, len(nums) - 1\n",
" while left < right:\n",
" mid = (left + right) // 2\n",
" if target > nums[mid]:\n",
" left = mid + 1\n",
" elif target < nums[mid]:\n",
" right = mid\n",
" else:\n",
" return mid \n",
" return left if nums[left] >= target else left + 1 # 注意这里的返回值 注意溢出"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "a1e23e83",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"4\n"
]
}
],
"source": [
"test_nums = [1,3,5,6]\n",
"test_target = 7\n",
"solution_1 = Solution()\n",
"result_1 = solution_1.searchInsert(test_nums, test_target)\n",
"print(result_1) # 2"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "92764a56",
"metadata": {},
"outputs": [],
"source": []
}
],
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"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
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"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
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