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...ng *source* package 'RcppArmadillo' ... ** package 'RcppArmadillo' successfully unpacked and MD5 sums checked * checking LAPACK_LIBS: divide-and-conquer complex SVD available via system LAPACK ** libs g++ -I/tools/cluster/6.2/R/3.2.2_mkl/lib64/R/include -I/usr/local/include -I"/panfs/pfs.acf.ku.edu/crmda/tools/lib64/R/3.2/site-library/Rcpp/include" -I../inst/include -fpic -O3 -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=4 -m64 -mtune=generic -c RcppArmadillo.cpp -o RcppArmadillo.o g++ -I/tools/cluster/6.2/R/3.2.2_mkl/lib64...

...ng *source* package 'RcppArmadillo' ... ** package 'RcppArmadillo' successfully unpacked and MD5 sums checked * checking LAPACK_LIBS: divide-and-conquer complex SVD available via system LAPACK ** libs g++ -I/tools/cluster/6.2/R/3.2.2_mkl/lib64/R/include -I/usr/local/include -I"/panfs/pfs.acf.ku.edu/crmda/tools/lib64/R/3.2/site-library/Rcpp/include" -I../inst/include -fpic -O3 -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=4 -m64 -mtune=generic -c RcppArmadillo.cpp -o RcppArmadillo.o g++ -I/tools/cluster/6.2/R/3.2.2_mkl/lib64...

...ertedCast = CastInst::CreateTruncOrBitCast(InitCall.getCalledValue(), LI->getType(), "return_load", LI); I assume that getCalledValue() will give me the return value of the InitCall CallInst. This compiles fine. But the CastInst cannot be created. The runtime error is : opt: /panfs/panasas-01.cs.wisc.edu/scratch/wang/LLVM/src/llvm/lib/VMCore/Instructions.cpp:2338: llvm::TruncInst::TruncInst(llvm::Value*, const llvm::Type*, const llvm::Twine&, llvm::Instruction*): Assertion `castIsValid(getOpcode(), S, Ty) && "Illegal Trunc"' failed. 0 opt...

...da.ku.edu/cran/src/contrib/OpenMx_2.3.1.tar.gz' Content type 'application/x-gzip' length 2537264 bytes (2.4 MB) ================================================== downloaded 2.4 MB ERROR: dependency 'visNetwork' is not available for package 'DiagrammeR' * removing '/panfs/pfs.acf.ku.edu/crmda/tools/lib64/R/3.2/site-library/DiagrammeR' However, I can manually install that individual package > install.packages("visNetwork", + dependencies = c("Depends"), +...

Greetings. I see a warning message while compiling OpenMPI and would appreciate it if you tell me what it means. This warning happens with any OpenMPI > 1.6.5. Even before starting a cluster, just "sessionInfo" triggers this warning. I'm pasting in the message from R-3.3.2 (this is MRO). Do the R parallel package cluster functions violate the warnings described here? >

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