Welcome to otwrapy’s documentation!

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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.Function into a parallel wrapper using either multiprocessing, ipyparallel, joblib or pathos.

  • A set of useful tools that simply recurrent tasks when writing 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 useful when you launch your code in a non interactive environment.

    • load_array and dump_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 in uncertainty treatment and we assist our clients introducing the probabilistic dimension in their so far deterministic studies.


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 careful anytime you upgrade!