See:
gonum/gonum#845 (comment)

Current implementation of join can be improved by performing the operation in a single call to the backend kernel instead of multiple calls.

This is a fairly easy kernel and may be a good issue for someone getting to know CUDA/ArrayFire internals. Ping me if you want additional info.

Today I was checking out the library and MSVC warns for https://github.com/alandefreitas/matplotplusplus/blob/359a775710e1b1fd5667281a0855806f149b7ab0/source/matplot/util/contourc.cpp#L1771

BOUNDARY_S returns a bool do the expression is bool > 0

Currently spack does not support the following packages, all of these packages are installed outside of Spack at Cori, we would like to get support for these packages if possible.

• cpmd https://www.lcrc.anl.gov/for-users/software/available-software/cpmd/
• ComputeCPP https://github.com/codeplaysoftware/computecpp-sdk need to confirm link
• ds9 https://sites.google.com/cfa.harvard.

Add #[track_caller] to some panicking methods. Slicing methods seem the most prudent (Index/Mut does not apply, sorry).

Needs benchmarks to investigate impact, preferably holistic benchmarks.

In terms of functionality, the mid-term end goal is to achieve an offering of ML algorithms and pre-processing routines comparable to what is currently available in Python's scikit-learn.

These algorithms can either be:

• re-implemented in Rust;
• re-exported from an existing Rust crate, if available on crates.io with a compatible interface.

Split itkHausdorffDistanceImageFilterTest to the corresponding classes unit tests

Description

The classes ``itk::HausdorffDistanceImageFilteranditk::DirectedHausdorffDistanceImageFilter` are tested in the same [`itkHausdorffDistanceImageFilterTest.cxx](itk::https://github.com/InsightSoftwareConsortium/ITK/blob/master/Modules/Filtering/DistanceMap/test/itkHausdorffDistanceImageFilte

using the approach laid out in:
dswah/pyGAM#154