Speaker
Description
Cppyy provides fully automatic Python/C++ language bindings and so doing
covers a vast number of use cases. Use of conventions and known common
patterns in C++ (such as smart pointers, STL iterators, etc.) allow us to
make these C++ constructs more "pythonistic." We call these treatments
"pythonizations", as the strictly bound C++ code is turned into bound code
that has a Python "feel." However, there are always a few corner cases that
can be improved with manual intervention. Historically, this was done with
helpers or wrapper code on the C++ or Python side.
In this paper, we present the new pythonization API that standardizes these
manual tasks, covering the common use cases and in so doing improving
scalability and interoperability. This API has been provided for both CPython
and PyPy. We describe the fundamental abstractions that it covers, how it
can be used to resolve conflicts across packages, and its performance.
| Primary Keyword (Mandatory) | Analysis tools and techniques |
|---|
