v1.5.2 'Nifty Neon'

[MuellerSeb]

Release Notes

This release brings better support for spatio-temporal models as well as some updates for models on geographic coordinates.

Installation

You can install GSTools with conda:

conda install -c conda-forge gstools

or with pip:

pip install gstools

Documentation

The documentation can be found at: https://gstools.readthedocs.io/

What's new?

Enhancements

• added global variable config.NUM_THREADS to select number of threads for parallel computation (#336)
• speed up sampling with emcee by setting vectorize=True in EnsembleSampler (#346)
• prepare numpy 2 support (#340)
  • at least numpy 2.0.0rc1 for building extensions (for Python 3.9 and above)
  • check multiple numpy and scipy versions in CI
  • fixed minimal versions for numpy
  • use np.asarray everywhere with np.atleast_(n)d
  • fix long/longlong integer issue in cython on windows by always using 64bit integers

Bugfixes

• build docs with latest sphinx version (#340)
• fixed zero division error in spectral density of Integral model (#347)
• minor pylint fixes for used-before-assignment issues (#350)

Changes

• require pyvista 0.40 at least (#340)
• require matplotlib 3.7 at least (#350)
• remove universal2 wheels for macos (we already provide separate intel and arm64 wheels) (#350)

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This discussion was created from the release v1.5.2 'Nifty Neon'.