Fix environments

[gjbex]

• Fix conda environments for pyCUDA and Rapids.
• Remove scikit-cuda as it can no longer be run.

Summary by Sourcery

Fix conda environments for pyCUDA and Rapids by updating dependencies and environment names, and remove scikit-cuda due to obsolescence.

Bug Fixes:

• Fix conda environments for pyCUDA and Rapids by updating dependencies and environment names.

Chores:

• Remove scikit-cuda as it is no longer supported or necessary.

[sourcery-ai]

Reviewer's Guide by Sourcery

This PR updates and simplifies the conda environments for GPU-based Python packages, focusing on pyCUDA and Rapids. It also removes the deprecated scikit-cuda package and updates various notebook outputs with newer benchmark results.

Class Diagram for Removed scikit-cuda

classDiagram
    class ScikitCuda {
        - environment.yml
        - scikit_cuda.ipynb
        - README.md
    }
    note for ScikitCuda "This class represents the removed scikit-cuda package and its associated files."

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File-Level Changes

Change	Details	Files
Simplified the pyCUDA conda environment by removing unnecessary dependencies	Renamed environment from 'python_on_gpus' to 'python_on_gpus_pycuda' Reduced dependencies to only essential packages: pycuda, numpy, matplotlib, and jupyterlab Removed numerous transitive dependencies that were explicitly listed	source-code/pycuda/environment.yml
Updated and simplified the Rapids environment configuration	Specified Rapids version to 24.10 Added Python 3.12 requirement Added CUDA version constraint (>=12.0, <=12.6) Simplified dependency list to essential packages	source-code/rapids/environment.yml
Removed deprecated scikit-cuda package and related files	Removed scikit-cuda directory and all its contents Updated README.md to remove scikit-cuda references	source-code/README.md source-code/scikit_cuda/README.md source-code/scikit_cuda/environment.yml source-code/scikit_cuda/scikit_cuda.ipynb
Updated notebook outputs with new benchmark results and API changes	Updated timing results in various benchmark cells Added 'observed' parameter to groupby operations Updated cudf version references Fixed matrix power timing measurements	source-code/rapids/cudf.ipynb source-code/rapids/ext_cudf_pandas_integration.ipynb source-code/cupy/cupy.ipynb source-code/pycuda/curand.ipynb

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[sourcery-ai]

Hey @gjbex - I've reviewed your changes and they look great!

Here's what I looked at during the review

• 🟢 General issues: all looks good
• 🟢 Security: all looks good
• 🟢 Testing: all looks good
• 🟢 Complexity: all looks good
• 🟢 Documentation: all looks good

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