Version 2.0.1

Minor changes

• Randomisation in MIRP now uses the generator-based methods in numpy.random, replacing the legacy functions.
  The generator is seeded so that results are reproducible. The seed depends on input image, mask and configuration
  parameters, if applicable.

Fixes

• Numpy arrays can now be used as direct input without throwing a FileNotFoundError.
• Relaxed check on orientation matrix when importing images, preventing errors when the l2-norm is around 1.000 but not
  to high precision.
• To prevent high loads through internal multithreading in numpy and other libraries when using ray for parallel
  processing, each ray thread is now initialised with environment parameters that prevent multi-threading.