libkdtree | Tree model implemented by C

 by   liuslnlp C++ Version: Current License: MIT

kandi X-RAY | libkdtree Summary

kandi X-RAY | libkdtree Summary

libkdtree is a C++ library. libkdtree has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

A KD-Tree model written in C++(with C and Python interface).
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              libkdtree has a low active ecosystem.
              It has 11 star(s) with 5 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 2 have been closed. On average issues are closed in 3 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of libkdtree is current.

            kandi-Quality Quality

              libkdtree has no bugs reported.

            kandi-Security Security

              libkdtree has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              libkdtree is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              libkdtree releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

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            libkdtree Key Features

            No Key Features are available at this moment for libkdtree.

            libkdtree Examples and Code Snippets

            No Code Snippets are available at this moment for libkdtree.

            Community Discussions

            QUESTION

            Compiling with Cython using OpenMP on macOS
            Asked 2020-Oct-15 at 15:58

            I'm on macOS Mojave 10.14.6 and I'm trying to compile some required extensions modules in c and c++ from this repository with:

            python setup.py build_ext --inplace

            which gives me the following error:

            ...

            ANSWER

            Answered 2020-Oct-15 at 15:58

            Here are a few hints:

            • Use gcc instead of llvm or clang for painless openmp-support on macOS. Note that apple's default gcc is just an alias for Apple clang as you'll see with gcc --version. You can install the real gcc with homebrew: brew install gcc.

            • Then use export CC='gcc-10' (the newest version should be gcc 10.x) inside the same terminal window to use homebrew's gcc temporarily as your C compiler.

            • There's no need to set CXXFLAGS or CFLAGS. The required flags are set by distutils/setuptools inside the setup.py.

            • You won't be able to compile dmc_cuda_module on macOS 10.14.6. The latest macOS version nvidia offers cuda drivers for is 10.13.6. So you might uncomment this part of the setup.py and hope for the best you don't need this module...

            • Some of the Extensions inside the setup.py aren't including the numpy headers while using the numpy C-API. On macOS it's necessary to include the numpy headers for each Extension, see this comment. So you have to add include_dirs=[numpy_include_dir] to those Extensions.

            • Edit: As discussed in the chat: The error was due to the conda env ignoring the CC variable. After installing python+pip via homebrew and the required python packages via pip, this answer's steps worked for the OP.

            All in all, here's a setup.py that worked for me (macOS 10.5.7, gcc-10):

            Source https://stackoverflow.com/questions/64350106

            QUESTION

            std::ptr_fun Arguments difficulty with templated class and struct
            Asked 2017-Feb-06 at 18:30

            I'm trying to work my way through using libkdtree++, trying to implement RRT, though I'm finding some trouble understanding how to use this library. Following the examples, I try to define the outline of my RRT class as such:

            ...

            ANSWER

            Answered 2017-Feb-06 at 18:30

            So, you're code is incomplete, as it's missing the vital implementation that causes the trigger. Look at the warning

            Source https://stackoverflow.com/questions/42072115

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install libkdtree

            cd python
            python setup.py install
            python ./demo.py(run a demo)
            Intel® Math Kernel Library is a very popular library product from Intel that accelerates math processing routines to increase application performance. If you want to build with MKL support, please add #define USE_INTEL_MKL to kdtree.cpp.

            Support

            Intel® Math Kernel Library is a very popular library product from Intel that accelerates math processing routines to increase application performance. If you want to build with MKL support, please add #define USE_INTEL_MKL to kdtree.cpp.
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          • HTTPS

            https://github.com/liuslnlp/libkdtree.git

          • CLI

            gh repo clone liuslnlp/libkdtree

          • sshUrl

            git@github.com:liuslnlp/libkdtree.git

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