how to install c++ library libuv on OS X? - c++

i want to install libuv on OS X,but when i
brew install libuv
then i write a simple demo :
#include <stdio.h>
#include <uv.h>
int main() {
uv_loop_t *loop = uv_loop_new();
printf(“Now quitting.\n”);
uv_run(loop, UV_RUN_DEFAULT);
return 0;
}
always error:
main.cc:2:10: fatal error: 'uv.h' file not found
#include <uv.h>
^
1 error generated.

Answers from here may help you...
$ g++ -luv main.cc
Or
$ g++ -o main main.cc build/Release/libuv.a -framework CoreFoundation -framework CoreServices

Yes : -I/usr/local/include helped me.
But one point add this compiler flags not in project but in sdk

If you want to use Xcode you can add libuv as a Git submodule (git submodule add https://github.com/libuv/libuv Externals/libuv) and use GYP to generate an xcodeproj for libuv (as explained in libuv's README) and add this xcodeproj to your main Xcode project.
It can be automated (for easy updating) with a simple shell script (assumes you put the libuv submodule in Externals/libuv, but can be changed):
git submodule update --init
git clone https://chromium.googlesource.com/external/gyp.git Externals/libuv/build/gyp
Externals/libuv/gyp_uv.py -f xcode
Then you'll be able to add libuv as a dependency and to the libraries to link your target to:
The last thing to do is to tell Xcode where are libuv's headers:
See this post

Related

C++ writing JSON with JSONCPP

I was trying to use the JSONCPP library to work with JSON documents in C++.
Reading another question here, I saw this example and tried to implement:
#include "json/json.h"
int main(){
Json::Value event;
Json::Value vec(Json::arrayValue);
vec.append(Json::Value(1));
vec.append(Json::Value(2));
vec.append(Json::Value(3));
event["competitors"]["home"]["name"] = "Liverpool";
event["competitors"]["away"]["code"] = 89223;
event["competitors"]["away"]["name"] = "Aston Villa";
event["competitors"]["away"]["code"] = vec;
std::cout << event << std::endl;
}
But I keep getting this error:
json2.cpp:(.text+0x1c): referência não definida para "Json::Value::Value(Json::ValueType)"
/usr/bin/ld: json2.cpp:(.text+0x30): referência não definida para "Json::Value::Value(Json::ValueType)"
json2.cpp is the file's name, as it looks like.
Being a /usr/bin/ld a link error, I tried to add as parameter the directory path to the compile command but the error persists
Does anyone know how to fix it?
It’s all about how you build/install the library and specify the headers in the source. Since you didn’t mention what method you took to build the library, I’ll demonstrate three solutions I got to work on Ubuntu 20.04 LTS.
Install the Package
Most straightforward way is to install via apt:
$ sudo apt-get install libjsoncpp-dev
The header files will be installed to /usr /include/jsoncpp/json and can be included in json2.cpp as:
#include <jsoncpp/json/json.h>
And compile by adding the linker flag as:
$ g++ json2.cpp -o json2 -ljsoncpp
Amalgamated Source
Inside of the top-level directory of the jsoncpp repository, you can amalgamate the source by:
$ python amalgamate.py
By default, this will generate all necessary source and header files in the dist/ directory, and there is no need to link the library. Include in json2.cpp as:
#include <json/json.h>
As indicated in the build instructions, jsoncpp.cpp will have to be incorporated into your project:
$ g++ json2.cpp dist/jsoncpp.cpp -Idist -o json2
Cmake
From the top-level directory of the jsoncpp repository:
$ mkdir build
$ cd build
$ cmake -DCMAKE_BUILD_TYPE=release -DBUILD_STATIC_LIBS=ON -DBUILD_SHARED_LIBS=OFF -DARCHIVE_INSTALL_DIR=. -G "Unix Makefiles" ..
$ make; make install
This will install the header files to /usr/local/include/json. Include in json2.cpp as:
#include <json/json.h>
And compile by adding the linker flag as:
$ g++ json2.cpp -o json2 -ljsoncpp

Tensorflow c++ api

I recently tensorflow cpp api from a way below(on MacOS Catalina ):
1. I first Install Bazel 0.23.0
2. download tensorflow:
$ git clone https://github.com/tensorflow/tensorflow
cd tensorflow # cd to the top-level directory created
$ ./configure
bazel build //tensorflow:libtensorflow_cc.so
# build C library
$ bazel build //tensorflow:libtensorflow.so
After install I run the code below:
#include "tensorflow/core/public/session.h"
#include "tensorflow/core/framework/tensor.h"
#include "tensorflow/core/platform/env.h"
int main(){
return 0;
}
with. command below:
g++ -I/usr/local/Cellar/libtensorflow/2.1.0_1/include -L/usr/local/Cellar/libtensorflow/2.1.0_1/lib -ltensorflow -ltensorflow_cc -ltensorflow_framework -std=c++11 main.cc -o main.o
but I get Error below:
/usr/local/Cellar/libtensorflow/2.1.0_1/include/tensorflow/core/framework/device_attributes.pb.h:17:2: error:
This file was generated by an older version of protoc which is
#error This file was generated by an older version of protoc which is
^
/usr/local/Cellar/libtensorflow/2.1.0_1/include/tensorflow/core/framework/device_attributes.pb.h:18:2: error:
incompatible with your Protocol Buffer headers. Please
#error incompatible with your Protocol Buffer headers. Please
I used libprotoc 3.11.4.
what should I do? what is wrong?

Difficulty linking Boost 1.60 on OS X after installing via Homebrew

I have a fresh install of OS X 10.11.4 that I immediately installed the Xcode toolchain on, then Homebrew, then Boost 1.60. In order to test that everything had gone well, I wrote the following code on my Desktop.
#include <iostream>
#include <boost/filesystem.hpp>
int main() {
boost::filesystem::path new_directory("hello");
boost::filesystem::create_directory(new_directory);
}
I then attempted to compile it as I usually have done with the following command.
$ clang++ test.cpp -o test -lboost_system -lboost_filesystem
I received the following error.
test.cpp:3:10: fatal error: 'boost/filesystem.hpp' file not found
#include <boost/filesystem.hpp>
This is how I have always compiled projects that link Boost in the past. I'm assuming that I have probably forgotten a step along the way that allows clang to search a specific path to dynamically link the libraries. What should I change in order for this compilation command to work?
For me, boost has been compiled and installed into a subdirectory of my home directory, so you'll need to modify the paths as appropriate for your homebrew installation:
flags="-std=c++1z -I/${HOME}/local/include -L${HOME}/local/lib -lboost_filesystem -lboost_system"
c++ ${flags} -o jared jared.cpp
First get the location of boost by doing the following:
brew info boost
From the image above, you can see that my location is
/usr/local/Cellar/boost/1.66.0
Then, to compile, use the following:
c++ -I /usr/local/Cellar/boost/1.66.0 main.cpp -o boost

Compile roscpp without ros (using g++)

I'm trying to compile roscpp without using the rest of ROS (I only need to subscribe to a node but the one that own that uses an old version of ROS and I couldn't integrate my program with his due to compilation troubles). I downloaded the source code from git (https://github.com/ros/ros_comm) and now I need to compile it, but Cmake throw me errors:
INFOBuilding GTest from source.
TODO: implement add_roslaunch_check() in rostest-extras.cmake.
CMake Error at CMakeLists.txt:8 (catkin_package_xml):
Unknown CMake command "catkin_package_xml".
How can I build it? I'm calling cmake CMakeList.txt, but it doesn't work.
Use this command line to compile your code directly with g++:
g++ yourtest.cpp -o yourtest -I/opt/ros/indigo/include -L/opt/ros/indigo/lib \
-Wl,-rpath,/opt/ros/indigo/lib -lroscpp -lrosconsole -lrostime \
-lroscpp_serialization -lboost_system -lboost_thread -pthread -lactionlib
Where yourtest.cpp is your c++ file that has some ros code.
If you are using a ros version different of the indigo replace de indigo string by the string of your version.
I suggest you to use rosinstall_generator to compile the package you want, such as roscpp. Here are the steps:
Download the package and its dependencies:
rosinstall_generator roscpp --rosdistro <ROS_Distro that you use> --deps > roscpp_ros.rosinstall
wstool init src roscpp_ros.rosinstall -j8
rosdep install --from-path src -i -y
Then compile it:
src/catkin/bin/catkin_make_isolated --install -DCMAKE_BUILD_TYPE=Release
The compiled packages will be in the folder install_isolated (at the same level as the folder src)

How to install clang in custom location from SVN, making it recognize c++ standard library, on OS X

I try to compile and use clang from svn trunk. I basically try to follow the directions here:
svn co -q http://llvm.org/svn/llvm-project/llvm/trunk llvm
svn co -q http://llvm.org/svn/llvm-project/cfe/trunk llvm/tools/clang
svn co -q http://llvm.org/svn/llvm-project/clang-tools-extra/trunk llvm/tools/clang/tools/extra
svn co -q http://llvm.org/svn/llvm-project/compiler-rt/trunk llvm/projects/compiler-rt
mkdir llvm_build_release
cd llvm_build_release
cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=$HOME/usr/local -DLLVM_TARGETS_TO_BUILD=host ../llvm
make -j12
make install
Above, I configure clang to be installed in the custom location ~/usr/local since I want to be able to play with it without changing my default environment.
I then create a simple test.cpp:
#include <iostream>
int main(int argc, const char* argv[]){
std::cout << "Hello world\n";
return 0;
}
and try to compile it:
~/usr/local/bin/clang++ test.cpp -o test
but get the error message:
test.cpp:1:10: fatal error: 'iostream' file not found
#include <iostream>
^
1 error generated.
(using the system version of clang, the same compilation works fine).
If I manually enter which standard library to use, it does work
~/usr/local/bin/clang++ -std=c++11 -stdlib=libstdc++ -I/usr/include/c++/4.2.1/ -L/usr/lib test.cpp -o test
The question is: How do I configure, compile and install clang from source so that I do not have to enter these standard library settings, but instead can just enter the ordinary ~/usr/local/bin/clang++ test.cpp -o test? I have macports installed, with its version of the standard libraries and the include files, if that helps.