pip install collects latest (too new) numpy

[NoteboomM]

Problem description

I'm not too familiar with pip, but pip install pygimli appears to be pulling the wrong numpy - is it possible to change the requirement somewhere? It appears to require numpy>=1.25 which currently downloads/installs numpy v2.1.1 which doesn't work well with pyGIMLi at times. In contrast, conda install gimli::pygimli downloads/installs numpy v1.26.4

Your environment

--------------------------------------------------------------------------------
  Date: Thu Oct 03 14:22:21 2024 W. Europe Summer Time

                OS : Windows (10 10.0.22631 SP0 Multiprocessor Free)
            CPU(s) : 20
           Machine : AMD64
      Architecture : 64bit
       Environment : Python

  Python 3.10.15 | packaged by conda-forge | (main, Sep 30 2024, 17:41:41)
  [MSC v.1941 64 bit (AMD64)]

           pygimli : 1.5.2
            pgcore : 1.5.0
             numpy : 1.26.4
        matplotlib : 3.9.2
             scipy : 1.14.1
              tqdm : 4.66.5
           IPython : 8.28.0
            meshio : 5.3.5
            tetgen : 0.6.5
           pyvista : 0.44.1
--------------------------------------------------------------------------------

If I use the pip install in a new environment, it is the same, but with numpy: 2.1.1

Steps to reproduce

using pip install instead of a conda install

Expected behavior

Can the numpy requirement for the pip install be changed to a version range, or fixed to 1.26?

Actual behavior

If possible, please add one or more labels to your issue, e.g. if you expect that your issue is rather a question than a problem with the code, please add the label "question".