026 feature random sampler - #31
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This fixes #26 . The random sampler can improvise a fully rnadom set of profiles that fall on the model grid. It insure they fall on the model land by checking if they're masked and requesting more random profiles to replace ones that were on land. By giving the random sampler a 2D probability map the sampler will produce a set of locations that are on the modle grid, follow the probability distribution and not on land.
There are tests for checking the right number of profiles are made and the returned dataset is the same structure as the NNSampler.