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      1. 如何使用 pipenv 解决 Python 包依赖关系?

        How do you resolve Python package dependencies with pipenv?(如何使用 pipenv 解决 Python 包依赖关系?)

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                  本文介绍了如何使用 pipenv 解决 Python 包依赖关系?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着跟版网的小编来一起学习吧!

                  问题描述

                  我正在使用 pipenv 来处理 Python 包依赖项.

                  I am using pipenv to handle Python package dependencies.

                  Python 包正在使用两个包(名为 pckg1pckg2),它们依赖于同一个名为 pckg3 的包,但是来自两个不同的版本.显示依赖树:

                  The Python package is using two packages (named pckg1 and pckg2) that rely on the same package named pckg3, but from two different versions. Showing the dependency tree :

                  $ pipenv graph
                    pckg1==3.0.0
                      - pckg3 [required: >=4.1.0]
                    pckg2==1.0.2
                      - pckg3 [required: ==4.0.11]
                  

                  尝试安装依赖项:

                  $ pipenv install
                  
                  Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
                  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
                  Hint: try $ pipenv lock --pre if it is a pre-release dependency.
                  Could not find a version that matches pckg3==4.0.11,==4.1.0,>=4.1.0 (from -r C:UsersuserAppDataLocalTemppipenv-o7uxm080-requirementspipenv-hwekv7dc-constraints.txt (line 2))
                  Tried: 3.3.1, 3.3.2, 3.3.3, 3.4.0, 3.4.2, 4.0.0, 4.0.0, 4.0.1, 4.0.1, 4.0.2, 4.0.2, 4.0.3, 4.0.3, 4.0.4, 4.0.4, 4.0.6, 4.0.6, 4.0.8, 4.0.8, 4.0.9, 4.0.9, 4.0.10, 4.0.10, 4.0.11, 4.0.11, 4.1.0, 4.1.0, 4.1.1, 4.1.1, 4.1.2, 4.1.2, 4.2.1, 4.2.1, 4.3.0, 4.3.0
                  There are incompatible versions in the resolved dependencies.
                  

                  按照建议,pip install --skip-lock 可以解决问题,但依赖关系树仍未解决.

                  As suggested, pip install --skip-lock does the trick, but the dependency tree is still unresolved.

                  我很想告诉 Pipev 覆盖 pckg2 的要求,并指定 pckg3>=4.1.0.

                  I would love to tell Pipenv to override pckg2's requirement, and specify pckg3>=4.1.0.

                  如何解决?

                  推荐答案

                  我经常收到这个错误.每次清除锁定文件中的缓存都很有效.

                  I get that error constantly. Clearing the cache in the lock file works beautifully every time.

                  $ pipenv lock --pre --clear

                  这篇关于如何使用 pipenv 解决 Python 包依赖关系?的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持跟版网!

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