Keith Kraus

cc @devavret @trxcllnt who were involved in the slack conversation

@griwes Building cuDF from source on CUDA 11 is currently quite difficult because we have CUDA based dependencies that don't yet have CUDA 11 builds published because the conda packaging...

I guess it makes sense for a modulo zero operation to return null since it's undefined behavior but this is somewhere we would differ from Pandas.

cc @brandon-b-miller for more binaryop null things

This is an entirely different request than #7414. This issue is asking for removing duplicate elements in a column where the column is list dtype so the elements are lists....

@miguelusque it likely will not be. Operations that require comparing lists require us changes to our row comparator and have the potential to slow down all of libcudf if not...

FYI -- https://issues.apache.org/jira/browse/ARROW-17092 I believe the link above is for Feather V1 and the IPC File Format is Feather V2.

> If a host memory pool is required, only support it in C++17 and beyond. I assume this would be a crazy effort to backport to C++14? We typically get...

> Yeah, it's not really possible to backport. You'd be better off just re-implementing all of the memory pool logic or using some other open source host memory pool. >...

> What if we take this as an opportunity to start using the Conda compilers? That would put us on GCC 7.3.0, which has C++17 support (unless I've missed something)....