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Journal Articles PeerJ Computer Science Year : 2018

AutoWIG: automatic generation of python bindings for C++ libraries

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Abstract

Most of Python and R scientific packages incorporate compiled scientific libraries to speed up the code and reuse legacy libraries. While several semi-automatic solutions exist to wrap these compiled libraries, the process of wrapping a large library is cumbersome and time consuming. In this paper, we introduce AutoWIG, a Python package that wraps automatically compiled libraries into high-level languages using LLVM/Clang technologies and the Mako templating engine. Our approach is automatic, extensible, and applies to complex C++ libraries, composed of thousands of classes or incorporating modern meta-programming constructs.
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Dates and versions

hal-01756458 , version 1 (28-04-2018)

Licence

Attribution - CC BY 4.0

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Cite

Pierre Fernique, Christophe Pradal. AutoWIG: automatic generation of python bindings for C++ libraries. PeerJ Computer Science, 2018, 4, pp.e149. ⟨10.7717/peerj-cs.149⟩. ⟨hal-01756458⟩
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