Hello, I am having some troubles using the Continuum PyArrow conda package dependencies in conjunction with internal C++ extension modules.
Apparently, Arrow and Parquet link Boost statically. We have some internal packages containing C++ code that linking Boost libs dynamicaly. If we import Feather as well as our own extension modules into the same Python process, we get random segfaults in Boost. I think what's happening is that our extension modules are picking up Boost's symbols from Arrow and Parquet already loaded into the process, rather than from our own Boost shared libs. Could anyone explain the policy for linking Boost in binary distributions, particularly conda packages? What is your expectation for how other C++ extension modules should be built? Thanks in advance, Alex
