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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。
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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。
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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。
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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。
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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。
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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。
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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s
for 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words
if 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_ += 1
else:
# dp = 0
break
if dp_*one_word== len_word:
ans.append(i)
# dp = 0
return 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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