Anaconda 环境 安装包 Numpy-Base

Anaconda Environment Installing Packages Numpy-Base

在安装了一些软件包之后 TensorFlow 软件包更新为 conda install，当 运行 命令 conda list 我看到有两个 numpy包裹：

  1. numpy-base

  2. numpy

    numpy 1.14.3 py35h9bb19eb_2
    numpy-base 1.14.3 py35h7ef55bc_1

问题：

  1. 为什么我有两个 numpy 版本？
  2. 正在使用哪个，为什么还要安装 numpy-base 软件包？

numpy，这里是元包的例子，而numpy-base是原始的numpy库包。

When a conda package is used for metadata alone and does not contain any files, it is referred to as a metapackage. The metapackage may contain dependencies to several core, low-level libraries and can contain links to software files that are automatically downloaded when executed. Metapackages are used to capture metadata and make complicated package specifications simpler.

一个conda包的结构如下，一个metapackage只包含info文件夹。

.
├── bin
│   └── f2py
├── info
│   ├── LICENSE.txt
│   ├── files
│   ├── index.json
│   ├── paths.json
│   └── recipe
└── lib
    └── python3.x

如果您查看 numpy 的 meta.yaml 文件，它实际上有一条评论说

numpy is a metapackage that may include mkl_fft and mkl_random both of which require numpy-base to build.

详细了解 conda packages。