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。

评估

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

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。

描述

bug

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

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

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。

sassoftware/python-sasctl 的其他 Issue

查看 sassoftware/python-sasctl 的全部 Issue

相似的 Issue

更多 Python Issue

把新 issue 发到你的邮箱

精选适合新手参与的 GitHub issue 摘要。