mapreduce-maven–30.串联所有单词的字串

1. 项目对象模型（Project Object Model，POM）：Maven使用POM文件来描述项目的结构、依赖和构建设置。POM是一个XML文件，位于项目根目录下，并包含项目的基本信息、构建设置、依赖管理等。

2. 依赖管理：Maven通过POM文件管理项目依赖。通过在POM文件中声明依赖，Maven会自动下载、安装和配置所需的依赖项。可以指定依赖的版本、范围和传递性等。

3. 构建生命周期：Maven定义了一组标准的构建生命周期，包括clean、validate、compile、test、package、install和deploy等。每个生命周期由一系列的阶段（phase）组成，可以通过执行相应的命令来触发生命周期。

4. 插件：Maven支持插件扩展机制，通过插件可以扩展Maven的功能。插件可以用于执行各种任务，如编译代码、运行测试、打包应用程序等。插件可以在POM文件中配置，并在相应的生命周期阶段中执行。

5. 仓库（Repository）：Maven使用仓库来管理项目依赖的二进制文件。Maven有两种类型的仓库：本地仓库和远程仓库。本地仓库是开发者本地系统上的存储库，远程仓库是中央仓库或其他远程服务器上的存储库。

6. 多模块项目：Maven支持创建多模块项目，将相关的模块组织在一起。多模块项目有一个顶级POM文件，并且每个模块都有自己的POM文件。这种组织方式可以简化项目的管理和构建。

7. Maven生态系统：Maven生态系统提供了大量的插件和工具，用于支持项目构建、测试、部署等各个方面。一些常用的工具和框架，如Spring、Hibernate等都有与Maven集成的支持。

30

class Solution:def findSubstring(self, s: str, words: List[str]) -> List[int]:if not s or not words: return []# 储存结果ans = []dp_ = 0# one_word长度：one_word = len(words[0])# 单词总长度：len_word = len(words) * one_word# 字符串的长度：len_s = len(s)# 窗口长度为len_word# 以滑动窗口来分析整个sfor i in range(0, (len_s -len_word+1 )):dp_w = words.copy()dp_=0# 窗口开始滑动for j in range(i, (i + len_word), one_word):# 找出单词a = s[j:one_word+j]# 判断单词是否在wordsif a in dp_w:# 找到a的位置并赋值为1：fin_a = dp_w.index(a)dp_w[fin_a] = ''dp_ += 1else:# dp = 0breakif dp_*one_word== len_word:ans.append(i)# dp = 0return ans

179 个测试用例过了178

最后测试超时 待优化

输入

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