pip install when building a docker image takes too long

[id5h]

Hi, I need to install lttbc when building a python docker image, based on python:3.11.4-slim-bookworm.

The command in the Dockerfile is:
RUN pip3 install --no-cache-dir numpy==1.24.4 lttbc==0.2.4

However, it takes more than 10 minutes to finish installing the build dependencies
(I get the message Installing build dependencies: still running...).
I do not see any dependencies for lttbc in the Readme.

For completeness, I also RUN apt-get install -y build-essential libblas-dev gcc before running the pip install stage.
I am on an M1-pro and building the image with the flag --platform linux/amd64.

Any ideas what might cause this problem?

[dgoeries]

I believe it will try to install numpy version 1.22 for the build process. This problem occured when switching to the toml structure. Putting a build dependency specification with numpy>=1.22 was always taking the highest available, e.g. 1.24. This did result in compatibility problems.

I could provide another lttbc with a different toml to circumvent this

[dgoeries]

E.g. use 1.24 for the build process

[id5h]

Thanks for the prompt reply @dgoeries !

I am running now with RUN pip3 install --no-cache-dir numpy==1.22 lttbc==0.2.4, but see no difference

[id5h]

Same with RUN pip3 install --no-cache-dir numpy==1.24 lttbc==0.2.4.

Did I misunderstand your suggestion?

[dgoeries]

Yes, it will still try to install numpy=1.22 for the build process :(. I need to prepare a new version and document