feat: Add make_sample() function to WoodburyKernel_varNP and remove params …

[pratyashagitika]

…from make_sample() in WoodburyKernel_varN

This PR adds a make_sample() function to the WoodburyKernel_varNP. The issue arose when I was trying to follow the simulations.rst tutorial given within discovery. When running
params = ds.sample_uniform(sampler.params), I got error AttributeError: 'WoodburyKernel_varNP' object has no attribute 'make_sample'.

Further, make_sample(self, params) in WoodburyKernel_varN takes in params argument which differs from all other make_sample() functions in matrix.py. This raises error TypeError: WoodburyKernel_varN.make_sample() missing 1 required positional argument: 'params'. This PR removes params from the argument of make_params in WoodburyKernel_varN.

After changing these two, the simulation code is running successfully.

Please let me know if any modifications are necessary.

[meyers-academic]

Thanks! I will try to look at this before the end of the week. yes, make_sample should probably not take parameters if it's creating a function itself that is used to sample.

For varNP almost certainly no one has had to simulate from that set-up before and so it just wasn't implemented, so thank you for taking the time to do it!

[meyers-academic]

This looks great, thank you for catching the bug and for adding this.