Processed: Re: Bug#949950: ITP: libh5cpp-dev -- H5CPP is a novel approach to persistence in the field of machine learning and science, it provides high performance sequential and block access to HDF5 containers through modern C++ templates. It supports major linear algebra libraries such as armadillo, eigen3, dlib, itpp, blaze, boost::ublas in addition to stl::vector. And it has an amitious plan to provide quality non-intrusive persistence for arbitrary C++ objects.
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> retitle -1 ITP: libh5cpp -- c++ header only library for HDF5 dataformat
Bug #949950 [wnpp] ITP: libh5cpp-dev -- H5CPP is a novel approach to persistence in the field of machine learning and science, it provides high performance sequential and block access to HDF5 containers through modern C++ templates. It supports major linear algebra libraries such as armadillo, eigen3, dlib, itpp, blaze, boost::ublas in addition to stl::vector. And it has an amitious plan to provide quality non-intrusive persistence for arbitrary C++ objects.
Changed Bug title to 'ITP: libh5cpp -- c++ header only library for HDF5 dataformat' from 'ITP: libh5cpp-dev -- H5CPP is a novel approach to persistence in the field of machine learning and science, it provides high performance sequential and block access to HDF5 containers through modern C++ templates. It supports major linear algebra libraries such as armadillo, eigen3, dlib, itpp, blaze, boost::ublas in addition to stl::vector. And it has an amitious plan to provide quality non-intrusive persistence for arbitrary C++ objects.'.
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949950: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=949950
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- Bug#949950: ITP: libh5cpp-dev -- H5CPP is a novel approach to persistence in the field of machine learning and science, it provides high performance sequential and block access to HDF5 containers through modern C++ templates. It supports major linear algebra libraries such as armadillo, eigen3, dlib, itpp, blaze, boost::ublas in addition to stl::vector. And it has an amitious plan to provide quality non-intrusive persistence for arbitrary C++ objects.
- From: Gilles Filippini <pini@debian.org>
- Bug#949950: ITP: libh5cpp-dev -- H5CPP is a novel approach to persistence in the field of machine learning and science, it provides high performance sequential and block access to HDF5 containers through modern C++ templates. It supports major linear algebra libraries such as armadillo, eigen3, dlib, itpp, blaze, boost::ublas in addition to stl::vector. And it has an amitious plan to provide quality non-intrusive persistence for arbitrary C++ objects.
- From: steven@vargaconsulting.ca
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Bug#949951: ITP: h5cpp-compiler -- This LLVM/clang based C++ source code transformation tool automates the otherwise time consuming, error prone process of generating type descriptors for HDF5 Compound datatypes by building the AST of a given TU translation unit, and identifying all POD datatypes referenced from H5CPP operators/functions. The result is a seamless, non-intrusive persistence much similar to python, java or other interpreted languages.
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Processed: Re: Bug#949951: ITP: h5cpp-compiler -- This LLVM/clang based C++ source code transformation tool automates the otherwise time consuming, error prone process of generating type descriptors for HDF5 Compound datatypes by building the AST of a given TU translation unit, and identifying all POD datatypes referenced from H5CPP operators/functions. The result is a seamless, non-intrusive persistence much similar to python, java or other interpreted languages.
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Bug#949950: ITP: libh5cpp-dev -- H5CPP is a novel approach to persistence in the field of machine learning and science, it provides high performance sequential and block access to HDF5 containers through modern C++ templates. It supports major linear algebra libraries such as armadillo, eigen3, dlib, itpp, blaze, boost::ublas in addition to stl::vector. And it has an amitious plan to provide quality non-intrusive persistence for arbitrary C++ objects.
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Bug#949951: ITP: h5cpp-compiler -- This LLVM/clang based C++ source code transformation tool automates the otherwise time consuming, error prone process of generating type descriptors for HDF5 Compound datatypes by building the AST of a given TU translation unit, and identifying all POD datatypes referenced from H5CPP operators/functions. The result is a seamless, non-intrusive persistence much similar to python, java or other interpreted languages.
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