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为什么 pip install requirements.txt 安装额外的包？

[英]Why does pip install requirements.txt install extra packages?

 原文  2017-03-21 05:38:07  6   3    python/ pip/ requirements.txt

问题描述

I have a repository with an inflated requirements.tx that I'd like to clean up.我有一个我想清理的有膨胀的 requirements.tx 的存储库。 Using pipreqs I've set my requirements.txt to be a minimal set of packages need for my repository.使用pipreqs我已将我的 requirements.txt 设置为我的存储库所需的最小软件包集。 To test this, I setup a virtualenv to install the packages and then run all my unit tests to make sure they're satisfactory.为了测试这一点，我设置了一个 virtualenv 来安装包，然后运行我所有的单元测试以确保它们令人满意。

virtualenv temp_venv --no-site-packages
source temp_venv/bin/activate
pip install -r requirements.txt

Which runs fine, but I see that a whole bunch of extra packages are collected and installed.运行良好，但我看到收集并安装了一大堆额外的软件包。 Why?为什么？ Are these identified as needed by required packages, and thus installed?这些是否被所需的软件包识别为需要，并因此安装？ If so, should I then include them in the requirements.txt?如果是这样，我应该将它们包含在 requirements.txt 中吗？

3 个解决方案

解决方案1
 2 已采纳  2017-03-21 05:42:38

Yes.是的。 The packages are dependencies of your dependencies​.包是您的依赖项的依赖项。

But no, you should not specify them directly.但是不，您不应该直接指定它们。 Automatic tools know to download dependencies recursively and it would significantly add to maintenance overhead.自动工具知道递归下载依赖项，这会显着增加维护开销。

解决方案2
 1  2017-03-21 05:41:51

This might have been because of the dependencies of your written libs in requirements.txt .这可能是因为您在requirements.txt编写的库的依赖关系。 For ex: if you have written scipy as requirement numpy will also be installed because scipy is dependent on numpy .例如：如果您已将scipy编写为要求numpy也将被安装，因为scipy依赖于numpy 。

解决方案3
 0  2021-10-06 23:39:55

Well, for me the above answers were not the case.好吧，对我来说，上述答案并非如此。 Pip install was installing extra packages not in requirements.txt . Pip install 正在安装不在 requirements.txt 中的额外包。 The solution was:解决方案是：

Run conda create -n venv_name and conda activate venv_name, where venv_name is the name of your virtual environment.运行 conda create -n venv_name 和 conda activate venv_name，其中 venv_name 是您的虚拟环境的名称。

Run conda install pip.运行 conda install pip。 This will install pip to your venv directory.这会将 pip 安装到您的 venv 目录。

Then run pip install -r requeriments.txt然后运行 ​​pip install -r requeriments.txt

The above answer was adapted from here: Using Pip to install packages to Anaconda Environment以上答案改编自这里： Using Pip to install packages to Anaconda Environment

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