Regarding failing build of sage

[James]

I started setting up sage and as reference followed the https://doc-develop--sagemath.netlify.app/html/en/developer/walkthrough.html, I am using environment-3.11.yml but  after I ran pip install --no-build-isolation -e . it fails saying cpython is missing then I also installed that but after then like each missing installation I do again fails (kinda chain of missing packages), so do we require to install them manually, ig it should be installed from environment-3.11.yml ? I thought to take help for this before manually building using steps of make configure, ./configure and make. I am attaching the error log image this is of cpython even after installing then it gives of other missing package.

Thank you

James 

[Dima Pasechnik]

On March 5, 2026 6:42:15 AM CST, James <jrdav...@gmail.com> wrote:

I started setting up sage and as reference followed the https://doc-develop--sagemath.netlify.app/html/en/developer/walkthrough.html, I am using environment-3.11.yml

we don't support Python 3.11 any more, and environment-3.11.yml is gone from our betas -- which you should use for development, anyway.

[Tobia...@gmx.de]

It may be that you the conda env is not activated correctly? Please try `conda activate sage-dev` before running the pip command. Also, as Dima said, I would advice to use the latest development branch and the env file for Python 3.13.

If all of this is not working, please post the meson-log.txt file (path is towards the end of your screenshot)

[James]

I actually done that twice because I was also feeling that may be there is some issue with conda environment activation but it is not indeed, and also I tried with environment 3.13 as well 3.12 and I got error 

LibMambaUnsatisfiableError: Encountered problems while solving:
  - nothing provides __glibc >=2.39 needed by sysroot_linux-64-2.39-hc4b9eeb_5

Could not solve for environment specs
The following package could not be installed
└─ sysroot_linux-64 ==2.39 hc4b9eeb_5 is not installable because it requires
   └─ __glibc >=2.39 *, which is missing on the system.

My system has glibc 2.35, so the solver cannot satisfy the sysroot requirement. (using wsl environment with ubuntu 22.04 lts (jammy)

Now I am thinking of using docker sagemath/sagemath:develop and test there. 

(I think I had to upgrade wsl to may be 24 as it comes with libc 2.39/higher, but may be it can break existing things of mine).

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[James]

Also attaching meson-log for reference:

[James]

I setup sage in docker container of ubuntu 24.04 with volume and it worked fine with env 3.13, but after installation I faced one issue that if I run like ./sage then it gives error of missing modules like if I ran ./sage -t --optional=pip,pygambit,sage it throws error attached below, but if I ran ./src/build/sage-runtests -t --optional=pip,pygambit,sage .src/sage/game_theory/normal_form_game.py then it works fine and tests ran. 

I know this is some issue with the PATH and I tried some ways to fix it but its not working. Would be great if someone can help with this.

Thank you for your time.

James

[Dima Pasechnik]

You might try a hack like 

 ./sage --pip install pytest pytest-xdist pytest-mock

and see if it gets you anywhere

To view this discussion visit https://groups.google.com/d/msgid/sage-devel/CALUuivnY-e89fVs3Qk8s%3DN%2Br_N9tUR%2BMrXOzBzhof8rxoXYaWg%40mail.gmail.com.

[James]

Actually I tried this one earlier but it was giving error /bin/python3: No module named pip found. But when I run like ./sage -sh in that sage shell, if I run pip show pytest it is there it shows version and details, so does sage has its own python? because when I ran ./sage -python -V I got python 3.12.3 but conda env that I set up was with env3.13 and has python version 3.13.11 ? 

To view this discussion visit https://groups.google.com/d/msgid/sage-devel/CAAWYfq2NiX_ihhdPCiy9CA2eLtamWB9NqPoDFupbiPND45cUxA%40mail.gmail.com.

[Tobia...@gmx.de]

It looks indeed like your conda environment is not containing a few required packages. This is strange. What should work is that you simply install them manually via `conda install cython pytest <whatever else is missing`.