Version 1.6.0

This release extends support for autotuning Julia kernels using the KernelTuner.jl package, as well as other improvements. As of this release, Python 3.15 is supported and 3.10 is dropped.

• Extended Julia functionality:
  • Implemented Julia observers for Metal, Nvidia and AMD energy measurements.
  • Improved timing stability.
  • Include the new tests of #407, additional new and updated tests.
  • Fixed issue #423.
• Improved performance and data handling.
• Improved NVML and AMD observers.
• Improved signal handling.
• Added Python 3.15 support, dropped 3.10 support due to removed support from required dependencies.
• Removed tomli dependency in favor of built-in tomllib.
• Fix np.shuffle crash and wrong return type in Searchspace distributed random and LHS samplers.