Openmtp mac4/3/2023 ![]() It just became painfully slow… Freezing after 9min transfering 350mb of mp3s I tried several different cables, and cannot think of any reason why. Downloaded openMTP and was working great for weeks… Today transfering some mp3s and it is slower than passing them via bluetooth. For issue in production release, devtools output of DEBUG_PROD=true yarn build & yarn start.And while I always like to keep my R setup configured to build from source just in case, I always advocate installing from binaries when possible.If the following boxes are not ALL checked, your issue is likely to be closed. So far, Catalina hasn’t been a major disruption to the R workflow as far as I can tell, even though each new version of macOS and Xcode usually breaks something. ‘/private/var/folders/lh/llhz03f121l_0hns2j1d9jj00000gn/T/RtmpqTk4No/downloaded_packages’ ![]() ** testing if installed package keeps a record of temporary installation path ** testing if installed package can be loaded from final location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from temporary location ** byte-compile and prepare package for lazy loading Installing to /Users/ryan/Library/R/3.6/library/00LOCK-bayesQR/00new/bayesQR/libs framework R -Wl,-framework -Wl,CoreFoundation usr/local/opt/llvm/bin/clang -dynamiclib -Wl,-headerpad_max_install_names -undefined dynamic_lookup -single_module -multiply_defined suppress -L/Library/Frameworks/R.framework/Resources/lib -L /usr/local/opt/llvm/lib -L /usr/local/opt/gettext/lib -L /Applications/Xcode.app/Contents/Developer/Platforms/atform/Developer/SDKs/MacOSX.sdk/usr/lib -o bayesQR.so QRb_AL_mcmc.o QRb_mcmc.o QRc_AL_mcmc.o QRc_mcmc.o setseed.o -L/Library/Frameworks/R.framework/Resources/lib -lRlapack -L/Library/Frameworks/R.framework/Resources/lib -lRblas -L/usr/local/opt/gcc/lib/gcc/9/ -lm -L/usr/local/opt/gcc/lib/gcc/9/ -lm -F/Library/Frameworks/R.framework/. ![]() usr/local/opt/gcc/bin/gfortran -fPIC -Wall -g -O2 -fopenmp -c setseed.f95 -o setseed.o usr/local/opt/gcc/bin/gfortran -fPIC -Wall -g -O2 -fopenmp -c QRc_mcmc.f95 -o QRc_mcmc.o usr/local/opt/gcc/bin/gfortran -fPIC -Wall -g -O2 -fopenmp -c QRc_AL_mcmc.f95 -o QRc_AL_mcmc.o usr/local/opt/gcc/bin/gfortran -fPIC -Wall -g -O2 -fopenmp -c QRb_mcmc.f95 -o QRb_mcmc.o usr/local/opt/gcc/bin/gfortran -fPIC -Wall -g -O2 -fopenmp -c QRb_AL_mcmc.f95 -o QRb_AL_mcmc.o ** package ‘bayesQR’ successfully unpacked and MD5 sums checked Installing package into ‘/Users/ryan/Library/R/3.6/library’Ĭontent type 'application/x-gzip' length 34011 bytes (33 KB) > install.packages("bayesQR", type = "source") Otherwise, you can install them like this: If you have Xcode already installed, you should not need to install the Command Line Tools separately as Xcode already includes them. But fear not, after some trial and error, with a few configuration changes, you can get back on track. ![]() ![]() usr/include is no longer allowed, which is where clang searches for header files by default. True to Apple, without much delay, the workaround is gone. In a future release, this package will no longer be provided. As a workaround, an extra package is provided which will install the headers to the base system. If you are the maintainer of such software, we encourage you to update your project to work with the SDK or file a bug report for issues that are preventing you from doing so. However, some software may fail to build correctly against the SDK and require macOS headers to be installed in the base system under /usr/include. The command line tools will search the SDK for system headers by default. It also came with a warning that in a future release, it would no longer be provided. When Apple released Xcode 10, the release notes included a workaround for compilers that were looking for header files at /usr/include. With the release of macOS Catalina, something had to break, right? In my previous post Setting up R for Minimal Code Compilation and Maximum Speed, I discussed in detail how to set up R so that when you build from source, you can build against the OpenMP library. UPDATE: This article has been superseded by Setting up R on macOS 10.15 Catalina (Complete Guide) Building with OpenMP on macOS 10.15 Catalina ![]()
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