npm install

安装一个包

概要

npm install (with no args, in package dir)
npm install [<@scope>/]<name>
npm install [<@scope>/]<name>@<tag>
npm install [<@scope>/]<name>@<version>
npm install [<@scope>/]<name>@<version range>
npm install <alias>@npm:<name>
npm install <git-host>:<git-user>/<repo-name>
npm install <git repo url>
npm install <tarball file>
npm install <tarball url>
npm install <folder>

aliases: npm i, npm add
common options: [-P|--save-prod|-D|--save-dev|-O|--save-optional] [-E|--save-exact] [-B|--save-bundle] [--no-save] [--dry-run]

描述

此命令安装一个包,以及它所依赖的任何包。如果包有 package-lock 或 shrinkwrap 文件,依赖项的安装将由它驱动,如果两个文件都存在,则 npm-shrinkwrap.json 优先。见 package-lock.jsonnpm shrinkwrap

一个package是:

  • a) 包含由 package.json 文件描述的程序的文件夹
  • b) 一个 gzipped tarball,包含 (a)
  • c) 解析为 (b) 的 url
  • d) 在注册表上发布的 <name>@<version>(参见 registry),带有 (c)
  • e) 指向 (d) 的 <name>@<tag>(见 npm dist-tag
  • f) 具有满足 (e) 的 "latest" 标签的 <name>
  • g) 解决为 (a) 的 <git remote url>

即使你从不发布你的包,如果你只是想写一个 node 程序(a),你仍然可以获得使用 npm 的很多好处,也许你还想在打包后能够轻松地安装它成一个 tarball (b)。

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npm install sax@">=0.1.0 <0.2.0" bench supervisor

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npm install sax --force

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算法

122DCd6koLMupqqmS4c2Zkx91voXXgeopasNyRmOh23KqKbOyzWJ0aOhFRKKMxiOk8R9KwUZ/vdD8SPhpV5OtA==

load the existing node_modules tree from disk
clone the tree
fetch the package.json and assorted metadata and add it to the clone
walk the clone and add any missing dependencies
  dependencies will be added as close to the top as is possible
  without breaking any other modules
compare the original tree with the cloned tree and make a list of
actions to take to convert one to the other
execute all of the actions, deepest first
  kinds of actions are install, update, remove and move

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A
+-- B
+-- C
+-- D

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A
+-- B
+-- C
   `-- D@2
+-- D@1

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npm 安装算法的限制

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A -> B -> A' -> B' -> A -> B -> A' -> B' -> A -> ...

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