.. currentmodule:: otwrapy
otwrapy
is a collection of tools that simplify the task of wrapping
external codes in a Python environment as well as parallelizing it. It is built
on top of OpenTURNS, with its users as the target
audience. Documentation is available
here. The module provides :
- A
Parallelizer
class that converts any ot.NumericalMathFunction into a parallel wrapper using either multiprocessing, ipyparallel or joblib. - A set of usefull tools that simply recurrent tasks when constructing code
wrappers:
TempWorkDir
: Context manager that gracefully creates a temporary working directory. It handles errors and has the option to cleanup upon exit.Debug
: Decorator that protects the decorated function into a try/except structure so that errors are logged. It is specially usefull when you launch your code in a non interactive environement.load_array
anddump_array
: Used for efficiently create and load backups with the option to compress with gzip.safemakedirs
: Create a directory without raising an exception if it exits.create_logger
: Return a logger with a FileHandler at a given logging level.
otwrapy
comes from the experience of wrapping a lot of
different external codes at Phimeca engineering. We are a company specialized on
uncertainty treatment and we assist our clients introducing the
probabilistic dimension in their so far deterministic studies.
Warning
While fully usable, otwrapy is still pre-1.0 software and has no backwards compatibility guarantees until the 1.0 release occurs! Please make sure to be carefull anytime you upgrade!