rapids-conda-colab-template.ipynb fails to install properly

[timehaven]

The Google Colab pip notebook works fine.

The conda version failed.

I made a copy of the Google Colab conda notebook:

https://colab.research.google.com/drive/1TAAi_szMfWqRfHVfjGSqnGVLr_ztzUM9

All cells up to and including this one ran successfully:

# you can now run the rest of the cells as normal
import condacolab
condacolab.check()

This last cell showed output:

✨🍰✨ Everything looks OK!

The next cell failed, though:

# Installing RAPIDS is now 'python rapidsai-csp-utils/colab/install_rapids.py <release> <packages>'
# The <release> options are 'stable' and 'nightly'.  Leaving it blank or adding any other words will default to stable.
!python rapidsai-csp-utils/colab/install_rapids.py stable
import os
os.environ['NUMBAPRO_NVVM'] = '/usr/local/cuda/nvvm/lib64/libnvvm.so'
os.environ['NUMBAPRO_LIBDEVICE'] = '/usr/local/cuda/nvvm/libdevice/'
os.environ['CONDA_PREFIX'] = '/usr/local'
!pip uninstall cupy -y

The output is:

Found existing installation: cffi 1.15.0
Uninstalling cffi-1.15.0:
  Successfully uninstalled cffi-1.15.0
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
WARNING: Skipping cryptography as it is not installed.
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/
Collecting cffi==1.15.0
  Using cached cffi-1.15.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (444 kB)
Requirement already satisfied: pycparser in /usr/local/lib/python3.9/site-packages (from cffi==1.15.0) (2.21)
Installing collected packages: cffi
Successfully installed cffi-1.15.0
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
Installing RAPIDS Stable 22.12
Starting the RAPIDS install on Colab.  This will take about 15 minutes.
Collecting package metadata (current_repodata.json): ...working... done
Solving environment: ...working... failed with initial frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): ...working... done
Solving environment: ...working... WARNING conda.core.solve:_add_specs(640): pinned spec python=3.9 conflicts with explicit specs.  Overriding pinned spec.
WARNING conda.core.solve:_add_specs(640): pinned spec cudatoolkit=11.8 conflicts with explicit specs.  Overriding pinned spec.
failed with initial frozen solve. Retrying with flexible solve.
Solving environment: ...working... WARNING conda.core.solve:_add_specs(640): pinned spec python=3.9 conflicts with explicit specs.  Overriding pinned spec.
WARNING conda.core.solve:_add_specs(640): pinned spec cudatoolkit=11.8 conflicts with explicit specs.  Overriding pinned spec.
failed

SpecsConfigurationConflictError: Requested specs conflict with configured specs.
  requested specs:
    - cudatoolkit=11.2
    - dask-sql
    - gcsfs
    - llvmlite
    - openssl
    - python=3.8
    - rapids=22.12
  pinned specs:
    - python_abi=3.9[build=*cp39*]
Use 'conda config --show-sources' to look for 'pinned_specs' and 'track_features'
configuration parameters.  Pinned specs may also be defined in the file
/usr/local/conda-meta/pinned.


RAPIDS conda installation complete.  Updating Colab's libraries...
WARNING: Skipping cupy as it is not installed.
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv

Just to test, the following cell also failed with ModuleNotFoundError:

import cudf, cuml, cugraph, cuspatial

[1933211129]

Now I have the same problem. Have you solved it? But the problem didn't appear when I used it in early March.

[jimoreira]

hi, hitting the same problem.
Don't understand how the issue was closed.
the error is exactly the same.
Colab now with python 3.10'
thanks for your help!