libkdtree | Tree model implemented by C
kandi X-RAY | libkdtree Summary
kandi X-RAY | libkdtree Summary
A KD-Tree model written in C++(with C and Python interface).
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libkdtree Key Features
libkdtree Examples and Code Snippets
Community Discussions
Trending Discussions on libkdtree
QUESTION
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 15:58Here 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
orCFLAGS
. 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 addinclude_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):
QUESTION
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 18:30So, you're code is incomplete, as it's missing the vital implementation that causes the trigger. Look at the warning
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install libkdtree
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.
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