英文:
dealing with pip install dependency conflicts
问题
以下是翻译好的部分：
我有大约300个Python包，我试图从一个配置为在创建实例时运行的shell脚本中安装它们。由于依赖冲突，脚本失败。错误：无法安装ipykernel==6.16.2，jupyter-client==7.3.4，nbclassic==0.4.5，nbclient==0.7.0，nest-asyncio==1.5.6，notebook==6.5.1和sparkmagic==0.20.0，因为这些包版本存在冲突的依赖关系。2023-02-09T21:47:54.127-08:00冲突的原因是：用户请求的是nest-asyncio==1.5.6ipykernel 6.16.2依赖于nest-asynciojupyter-client 7.3.4依赖于nest-asyncio>=1.5.4nbclassic 0.4.5依赖于nest-asyncio>=1.5nbclient 0.7.0依赖于nest-asyncionotebook 6.5.1依赖于nest-asyncio>=1.5sparkmagic 0.20.0依赖于nest-asyncio==1.5.52023-02-09T21:47:54.127-08:00解决冲突的方法是：用户请求的是nest-asyncio==1.5.6 ipykernel 6.16.2依赖于nest-asyncio jupyter-client 7.3.4依赖于nest-asyncio>=1.5.4 nbclassic 0.4.5依赖于nest-asyncio>=1.5 nbclient 0.7.0依赖于nest-asyncio notebook 6.5.1依赖于nest-asyncio>=1.5 sparkmagic 0.20.0依赖于nest-asyncio==1.5.52023-02-09T21:47:54.127-08:00要解决这个问题，你可以尝试：2023-02-09T21:47:54.127-08:001. 放宽你指定的包版本范围2023-02-09T21:47:54.127-08:002. 删除包版本以允许pip尝试解决依赖关系冲突2023-02-09T21:47:58.887-08:00错误：ResolutionImpossible: 获取帮助，请访问 https://pip.pypa.io/en/latest/topics/dependency-resolution/#dealing-with-dependency-conflicts如何在不必为每个包逐个更新其版本号的情况下处理冲突？我通过运行“pip freeze”命令获取所有这些包。
英文:
I have ~300 python packages that I am trying to install from a shell script that is configured to run when an instance is created. The script fails due to dependency conflicts.
ERROR: Cannot install ipykernel==6.16.2, jupyter-client==7.3.4, nbclassic==0.4.5, nbclient==0.7.0, nest-asyncio==1.5.6, notebook==6.5.1 and sparkmagic==0.20.0 because these package versions have conflicting dependencies.2023-02-09T21:47:54.127-08:00CopyThe conflict is caused by:The user requested nest-asyncio==1.5.6ipykernel 6.16.2 depends on nest-asynciojupyter-client 7.3.4 depends on nest-asyncio>=1.5.4nbclassic 0.4.5 depends on nest-asyncio>=1.5nbclient 0.7.0 depends on nest-asyncionotebook 6.5.1 depends on nest-asyncio>=1.5sparkmagic 0.20.0 depends on nest-asyncio==1.5.5The conflict is caused by: The user requested nest-asyncio==1.5.6 ipykernel 6.16.2 depends on nest-asyncio jupyter-client 7.3.4 depends on nest-asyncio>=1.5.4 nbclassic 0.4.5 depends on nest-asyncio>=1.5 nbclient 0.7.0 depends on nest-asyncio notebook 6.5.1 depends on nest-asyncio>=1.5 sparkmagic 0.20.0 depends on nest-asyncio==1.5.52023-02-09T21:47:54.127-08:00CopyTo fix this you could try to:2023-02-09T21:47:54.127-08:00Copy1. loosen the range of package versions you've specified2023-02-09T21:47:54.127-08:00Copy2. remove package versions to allow pip attempt to solve the dependency conflict2023-02-09T21:47:58.887-08:00CopyERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/topics/dependency-resolution/#dealing-with-dependency-conflicts
How do deal with conflicts without having to individually update the version numbers for each of them? I obtain all the packages by running pip freeze command.
答案1
得分: 2
Package dependency resolvers like poetry or pip-tools are specifically designed to solve this problem.
Poetry 具有丰富的功能，用户友好，并且其文档相当不错：https://python-poetry.org/docs/basic-usage/
pip-tools 轻量且简单，符合“根据 PEP 规范”：https://github.com/jazzband/pip-tools
英文:
Package dependency resolvers like poetry or pip-tools are specifically designed to solve this problem.
Poetry is featureful, user-friendly, and its documentation is quite good: https://python-poetry.org/docs/basic-usage/
pip-tools is lightweight, straightforward, and "according to PEP specs": https://github.com/jazzband/pip-tools
通过集体智慧和协作来改善编程学习和解决问题的方式。致力于成为全球开发者共同参与的知识库，让每个人都能够通过互相帮助和分享经验来进步。
评论