tess

Different results from pandas when groupby `prod` aggregation overflows

4

@drculhane found a place where we differ from pandas when doing a groupby `prod` aggregation that results in values larger than can be held in an int64. Pandas seems to...

Add `permutation` to our generators, we can get this easily `permute` method defined on chpl generators

Add `choice`, `permutation`, and `shuffle` to random number generators

2

Add the generator methods which are already covered by chpl functionality. It looks like `choice`, `permutation`, and `shuffle` can likely be covered by some combo of `shuffle`, `permute`, and `sample`...

Random number generation for non-uniform distributions

1

There has been user desire for generating random numbers with respect to other distributions (normal in particular). But we should also consider adding other common distributions (power law, binomial, poisson,...

Running `make doc` results in quite a few sphinx warnings, we should take the time to address these

The optimization in https://github.com/Bears-R-Us/arkouda/pull/3053 gets much better performance when writing small csv files, but runs into memory issues above a certain size since we put all the data that needs...

Update new benchmarks

1

Similar to #3050 We need to go through each files in `benchmarks_v2` and verify it is benchmarking the same thing as the original. This is far more nuanced than updating...

Update `PROTO_test/akscipy_test`

Update `PROTO_tests`

1

Go through the files in `PROTO_test` and make sure they: - cover everything from their associated file in the `tests` dir does (copy over any non-obvious ones) - run and...

We are seeing failures with mypy versions in the supported range specifically ` 0.982` when the range is `mypy>=0.931,