sassoftware / sassoftware/python-sasctl

Unable to install sasctl on Viya Stable 2024.07 (20240806.1722930536493)

未关闭
#207 0 条评论 1 个 reaction 已指派 0 人 在 GitHub 查看

还没有人认领这个 Issue。

bug
主要语言
Python
星标
52
派生
45
平均合并
23 小时 38 分钟
30 天内合并 PR
2

描述

Describe the issue
Unable to install sasctl on Viya stable 2024.07 (20240806.1722930536493) due to numpy version

To Reproduce
Add on change-configuration.yaml transformer sasctl to the install packages value
path: /data/default_py.pip_install_packages
value: ".... sasctl"

Expected behavior
Package will be installed

Stack Trace
I am not able to install the sasctl package due to dependency version issue, even if I put the needed version on the patch transformer sas-pyconfig-custom-parameters.
See below the error that I have on the sas-pythonconfig (for example PyYAML requests pandas packaging sasctl pip==24.3.1 numpy==1.25.0) :

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
pandas 2.1.4 requires numpy<2,>=1.23.2; python_version == "3.11", but you have numpy 2.1.3 which is incompatible.
gensim 4.3.3 requires numpy<2.0,>=1.18.5, but you have numpy 2.1.3 which is incompatible.
thinc 8.2.5 requires numpy<2.0.0,>=1.19.0; python_version >= "3.9", but you have numpy 2.1.3 which is incompatible.
neuralprophet 0.9.0 requires numpy<2.0.0,>=1.25.0, but you have numpy 2.1.3 which is incompatible.
tensorflow 2.17.0 requires numpy<2.0.0,>=1.23.5; python_version <= "3.11", but you have numpy 2.1.3 which is incompatible.
Successfully installed numpy-2.1.3 pybind11-2.13.6 setuptools-75.5.0 wheel-0.45.0

Version
Last one

贡献指南

打开贡献指南

从这里开始

  1. 先读完整个 Issue,再读项目的贡献指南。
  2. 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
  3. Fork 仓库,在一个分支上完成修改。
  4. 提交 Pull Request,并在描述里引用这个 Issue 编号。

调研方向

首先通过 change-configuration.yaml 重现安装过程,使用 /data/default_py.pip_install_packages 值和 sas-pyconfig-custom-parameters。将请求的版本与报告的 numpy 冲突进行比较;完成的标准是 sasctl 能够在 Viya stable 2024.07 上安装,且不存在这些依赖冲突。

由索引模型根据 Issue 内容生成。

评估

技术栈
numpy, python
领域
devops
Issue 类型
缺陷
难度
4/5
预计耗时
3-5 天
活跃度
停滞
描述清晰度
需要澄清
新手友好度
35/100

把新 issue 发到你的邮箱

精选适合新手参与的 GitHub issue 摘要。