Splinedist failing to install dependencies #328
Description
Describe the bug
When I open the colab workbook having saved it to my drive, and I run the first cell to 'Play to install SplineDist dependencies' the installation fails based on the version of numpy.
To Reproduce
Steps to reproduce the behavior:
- Go to Splinedist 2D notebook
- Save to drive or run the colab before saving to drive, the same issue persists
- Scroll down to 'Play to install SplineDist dependencies' and run the cell
- See error below:
Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (1.26.4)
Collecting numpy
Downloading numpy-2.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (60 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 60.9/60.9 kB 1.7 MB/s eta 0:00:00
Downloading numpy-2.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (16.3 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 16.3/16.3 MB 25.3 MB/s eta 0:00:00
Installing collected packages: numpy
Attempting uninstall: numpy
Found existing installation: numpy 1.26.4
Uninstalling numpy-1.26.4:
Successfully uninstalled numpy-1.26.4
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.
cudf-cu12 24.4.1 requires numpy<2.0a0,>=1.23, but you have numpy 2.1.1 which is incompatible.
cupy-cuda12x 12.2.0 requires numpy<1.27,>=1.20, but you have numpy 2.1.1 which is incompatible.
gensim 4.3.3 requires numpy<2.0,>=1.18.5, but you have numpy 2.1.1 which is incompatible.
ibis-framework 8.0.0 requires numpy<2,>=1, but you have numpy 2.1.1 which is incompatible.
numba 0.60.0 requires numpy<2.1,>=1.22, but you have numpy 2.1.1 which is incompatible.
pandas 2.1.4 requires numpy<2,>=1.22.4; python_version < "3.11", but you have numpy 2.1.1 which is incompatible.
pytensor 2.25.4 requires numpy<2,>=1.17.0, but you have numpy 2.1.1 which is incompatible.
rmm-cu12 24.4.0 requires numpy<2.0a0,>=1.23, but you have numpy 2.1.1 which is incompatible.
scikit-learn 1.3.2 requires numpy<2.0,>=1.17.3, but you have numpy 2.1.1 which is incompatible.
tensorflow 2.17.0 requires numpy<2.0.0,>=1.23.5; python_version <= "3.11", but you have numpy 2.1.1 which is incompatible.
thinc 8.2.5 requires numpy<2.0.0,>=1.19.0; python_version >= "3.9", but you have numpy 2.1.1 which is incompatible.
Successfully installed numpy-2.1.1
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 71.3/71.3 kB 2.1 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 450.7/450.7 kB 16.9 MB/s eta 0:00:00
error: subprocess-exited-with-error
× pip subprocess to install build dependencies did not run successfully.
│ exit code: 1
╰─> See above for output.
note: This error originates from a subprocess, and is likely not a problem with pip.
Installing build dependencies ... error
error: subprocess-exited-with-error
× pip subprocess to install build dependencies did not run successfully.
│ exit code: 1
╰─> See above for output.
note: This error originates from a subprocess, and is likely not a problem with pip.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 193.6/193.6 kB 10.4 MB/s eta 0:00:00
Preparing metadata (setup.py) ... done
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 191.9/191.9 kB 16.4 MB/s eta 0:00:00
Preparing metadata (setup.py) ... done
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 136.8/136.8 kB 12.4 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 17.1/17.1 MB 102.7 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 698.1/698.1 kB 47.5 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.6/78.6 kB 7.4 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 89.9/89.9 kB 8.3 MB/s eta 0:00:00
Building wheel for reikna (setup.py) ... done
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.
albucore 0.0.16 requires numpy>=1.24, but you have numpy 1.23.5 which is incompatible.
albumentations 1.4.15 requires numpy>=1.24.4, but you have numpy 1.23.5 which is incompatible.
bigframes 1.17.0 requires numpy>=1.24.0, but you have numpy 1.23.5 which is incompatible.
chex 0.1.86 requires numpy>=1.24.1, but you have numpy 1.23.5 which is incompatible.
pandas-stubs 2.1.4.231227 requires numpy>=1.26.0; python_version < "3.13", but you have numpy 1.23.5 which is incompatible.
xarray 2024.9.0 requires numpy>=1.24, but you have numpy 1.23.5 which is incompatible.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.0/3.0 MB 63.2 MB/s eta 0:00:00
Preparing metadata (setup.py) ... done
Building wheel for wget (setup.py) ... done
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 58.3/58.3 kB 2.3 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 206.4/206.4 kB 7.1 MB/s eta 0:00:00
Preparing metadata (setup.py) ... done
Building wheel for PTable (setup.py) ... done
Cloning into 'splinedist'...
remote: Enumerating objects: 290, done.
remote: Counting objects: 100% (81/81), done.
remote: Compressing objects: 100% (40/40), done.
remote: Total 290 (delta 54), reused 51 (delta 40), pack-reused 209 (from 1)
Receiving objects: 100% (290/290), 4.76 MiB | 27.05 MiB/s, done.
Resolving deltas: 100% (105/105), done.
Expected behavior
To run the installation of dependencies to run the notebook.
Desktop (please complete the following information):
- OS: windows
- Browser: chrone
- Version: 128.0.6613.138 (Official Build) (32-bit)