Note: the module "R" cannot be unloaded because it was not loaded. WARNING: ignoring environment value of R_HOME R Under development (unstable) (2025-03-27 r88065) -- "Unsuffered Consequences" Copyright (C) 2025 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > cargs <- commandArgs(trailingOnly=TRUE) > if(length(cargs)==0){ + ## before running interactively, make sure to start emacs/R with + ## environment defined in /scratch/...check_one.sh, particularly + ## R_LIBS_USER=/tmp/... otherwise we get error when installing + ## data.table. + base <- "/scratch/th798/data.table-revdeps/*" + cargs <- c( + Sys.glob(file.path(base,"deps.csv")), + "349", + Sys.glob(file.path(base, "data.table_release_*tar.gz")), + Sys.glob(file.path(base, "data.table_master_*tar.gz")) + ) + } > names(cargs) <- c("deps.csv", "task.str", "release", "master") > dput(cargs) c(deps.csv = "/scratch/th798/data.table-revdeps/2025-03-28/deps.csv", task.str = "722", release = "/scratch/th798/data.table-revdeps/2025-03-28/data.table_release_1.17.0.tar.gz", master = "/scratch/th798/data.table-revdeps/2025-03-28/data.table_master_1.17.99.2cb03162a21328cc5f68a8c3b0e554f5edfcb5b9.tar.gz" ) > (task.dir <- dirname(.libPaths()[1]))#should be /tmp/th798/slurmid/R-vers [1] "/tmp/th798/16170037/R-devel/722" > if(requireNamespace("R.cache"))R.cache::getCachePath() Loading required namespace: R.cache [1] "/tmp/th798/16170037/R-devel/722/R.cache" > task.id <- as.integer(cargs[["task.str"]]) > deps.df <- read.csv(cargs[["deps.csv"]]) > (rev.dep <- deps.df$Package[task.id]) [1] "latrend" > job.dir <- file.path(dirname(cargs[["deps.csv"]]), "tasks", task.id) > setwd(task.dir) > .libPaths() [1] "/tmp/th798/16170037/R-devel/722/library" [2] "/projects/genomic-ml/R/R-devel/library" > options(repos=c(#this should be in ~/.Rprofile too. + CRAN="http://cloud.r-project.org")) > print(Sys.time()) [1] "2025-03-28 00:56:37 MST" > install.time <- system.time({ + install.packages(rev.dep, dep=TRUE) + }) Installing package into '/tmp/th798/16170037/R-devel/722/library' (as 'lib' is unspecified) also installing the dependencies 'twosamples', 'xmlparsedata', 'clv', 'spacefillr', 'marqLevAlg', 'fastGHQuad', 'opdisDownsampling', 'lintr', 'longitudinalData', 'kml', 'lcmm', 'funFEM', 'crimCV', 'dtwclust', 'mixAK', 'mclustcomp', 'qqplotr', 'simTool', 'clusterCrit' trying URL 'http://cloud.r-project.org/src/contrib/twosamples_2.0.1.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/xmlparsedata_1.0.5.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/clv_0.3-2.4.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/spacefillr_0.4.0.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/marqLevAlg_2.0.8.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/fastGHQuad_1.0.1.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/opdisDownsampling_1.0.1.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/lintr_3.2.0.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/longitudinalData_2.4.7.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/kml_2.5.0.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/lcmm_2.2.1.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/funFEM_1.2.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/crimCV_1.0.0.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/dtwclust_6.0.0.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/mixAK_5.8.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/mclustcomp_0.3.3.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/qqplotr_0.0.6.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/simTool_1.1.7.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/clusterCrit_1.3.0.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/latrend_1.6.1.tar.gz' * installing *source* package 'twosamples' ... ** this is package 'twosamples' version '2.0.1' ** package 'twosamples' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stat_functions.cpp -o stat_functions.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o twosamples.so cpp11.o stat_functions.o installing to /tmp/th798/16170037/R-devel/722/library/00LOCK-twosamples/00new/twosamples/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (twosamples) * installing *source* package 'xmlparsedata' ... ** this is package 'xmlparsedata' version '1.0.5' ** package 'xmlparsedata' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (xmlparsedata) * installing *source* package 'clv' ... ** this is package 'clv' version '0.3-2.4' ** package 'clv' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c SD_SDbw_indicies.c -o SD_SDbw_indicies.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c VCLDefines.c -o VCLDefines.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cluster_scatter.c -o cluster_scatter.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cluster_stability.c -o cluster_stability.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c connectivity.c -o connectivity.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dot_product.c -o dot_product.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c matrix_scatter_measures.c -o matrix_scatter_measures.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c optimal_assignment.c -o optimal_assignment.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c standard_external_measures.c -o standard_external_measures.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o clv.so SD_SDbw_indicies.o VCLDefines.o cluster_scatter.o cluster_stability.o connectivity.o dot_product.o matrix_scatter_measures.o optimal_assignment.o standard_external_measures.o installing to /tmp/th798/16170037/R-devel/722/library/00LOCK-clv/00new/clv/libs ** R ** demo ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (clv) * installing *source* package 'spacefillr' ... ** this is package 'spacefillr' version '0.4.0' ** package 'spacefillr' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' using C++17 /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c generate_point_functions.cpp -o generate_point_functions.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o spacefillr.so RcppExports.o generate_point_functions.o installing to /tmp/th798/16170037/R-devel/722/library/00LOCK-spacefillr/00new/spacefillr/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (spacefillr) * installing *source* package 'marqLevAlg' ... ** this is package 'marqLevAlg' version '2.0.8' ** package 'marqLevAlg' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dmfsd.f90 -o dmfsd.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dsinv.f90 -o dsinv.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dchole.f90 -o dchole.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o marqLevAlg.so init.o dsinv.o dchole.o dmfsd.o -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/16170037/R-devel/722/library/00LOCK-marqLevAlg/00new/marqLevAlg/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (marqLevAlg) * installing *source* package 'fastGHQuad' ... ** this is package 'fastGHQuad' version '1.0.1' ** package 'fastGHQuad' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cpp -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lib.cpp -o lib.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o fastGHQuad.so init.o lib.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/16170037/R-devel/722/library/00LOCK-fastGHQuad/00new/fastGHQuad/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fastGHQuad) * installing *source* package 'funFEM' ... ** this is package 'funFEM' version '1.2' ** package 'funFEM' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (funFEM) * installing *source* package 'crimCV' ... ** this is package 'crimCV' version '1.0.0' ** package 'crimCV' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c crimCV.f90 -o crimCV.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c packagename_init.c -o packagename_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrap.c -o wrap.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o crimCV.so crimCV.o packagename_init.o wrap.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/16170037/R-devel/722/library/00LOCK-crimCV/00new/crimCV/libs ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (crimCV) * installing *source* package 'dtwclust' ... ** this is package 'dtwclust' version '6.0.0' ** package 'dtwclust' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Rcpp/include' -I'/projects/genomic-ml/R/R-devel/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-devel/library/RcppParallel/include' -I'/projects/genomic-ml/R/R-devel/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cpp -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Rcpp/include' -I'/projects/genomic-ml/R/R-devel/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-devel/library/RcppParallel/include' -I'/projects/genomic-ml/R/R-devel/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tadpole/tadpole.cpp -o tadpole/tadpole.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Rcpp/include' -I'/projects/genomic-ml/R/R-devel/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-devel/library/RcppParallel/include' -I'/projects/genomic-ml/R/R-devel/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils/ParallelWorker.cpp -o utils/ParallelWorker.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Rcpp/include' -I'/projects/genomic-ml/R/R-devel/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-devel/library/RcppParallel/include' -I'/projects/genomic-ml/R/R-devel/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils/utils.cpp -o utils/utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Rcpp/include' -I'/projects/genomic-ml/R/R-devel/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-devel/library/RcppParallel/include' -I'/projects/genomic-ml/R/R-devel/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils/envelope.cpp -o utils/envelope.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Rcpp/include' -I'/projects/genomic-ml/R/R-devel/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-devel/library/RcppParallel/include' -I'/projects/genomic-ml/R/R-devel/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils/UndirectedGraph.cpp -o utils/UndirectedGraph.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Rcpp/include' -I'/projects/genomic-ml/R/R-devel/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-devel/library/RcppParallel/include' -I'/projects/genomic-ml/R/R-devel/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils/R-utils.cpp -o utils/R-utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Rcpp/include' -I'/projects/genomic-ml/R/R-devel/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-devel/library/RcppParallel/include' -I'/projects/genomic-ml/R/R-devel/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils/KahanSummer.cpp -o utils/KahanSummer.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Rcpp/include' -I'/projects/genomic-ml/R/R-devel/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-devel/library/RcppParallel/include' -I'/projects/genomic-ml/R/R-devel/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c distmat/dtw-lb.cpp -o distmat/dtw-lb.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Rcpp/include' -I'/projects/genomic-ml/R/R-devel/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-devel/library/RcppParallel/include' -I'/projects/genomic-ml/R/R-devel/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c distmat/fillers.cpp -o distmat/fillers.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Rcpp/include' -I'/projects/genomic-ml/R/R-devel/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-devel/library/RcppParallel/include' -I'/projects/genomic-ml/R/R-devel/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c distmat/distmat-loop.cpp -o distmat/distmat-loop.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Rcpp/include' -I'/projects/genomic-ml/R/R-devel/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-devel/library/RcppParallel/include' -I'/projects/genomic-ml/R/R-devel/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c distmat/distmat.cpp -o distmat/distmat.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Rcpp/include' -I'/projects/genomic-ml/R/R-devel/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-devel/library/RcppParallel/include' -I'/projects/genomic-ml/R/R-devel/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c distances/soft-dtw.cpp -o distances/soft-dtw.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Rcpp/include' -I'/projects/genomic-ml/R/R-devel/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-devel/library/RcppParallel/include' -I'/projects/genomic-ml/R/R-devel/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c distances/dtw-basic.cpp -o distances/dtw-basic.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Rcpp/include' -I'/projects/genomic-ml/R/R-devel/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-devel/library/RcppParallel/include' -I'/projects/genomic-ml/R/R-devel/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c distances/calculators.cpp -o distances/calculators.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Rcpp/include' -I'/projects/genomic-ml/R/R-devel/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-devel/library/RcppParallel/include' -I'/projects/genomic-ml/R/R-devel/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c distances/lbi.cpp -o distances/lbi.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Rcpp/include' -I'/projects/genomic-ml/R/R-devel/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-devel/library/RcppParallel/include' -I'/projects/genomic-ml/R/R-devel/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c distances/logGAK.cpp -o distances/logGAK.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Rcpp/include' -I'/projects/genomic-ml/R/R-devel/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-devel/library/RcppParallel/include' -I'/projects/genomic-ml/R/R-devel/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c distances/R-gateways.cpp -o distances/R-gateways.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Rcpp/include' -I'/projects/genomic-ml/R/R-devel/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-devel/library/RcppParallel/include' -I'/projects/genomic-ml/R/R-devel/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c distances/lbk.cpp -o distances/lbk.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Rcpp/include' -I'/projects/genomic-ml/R/R-devel/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-devel/library/RcppParallel/include' -I'/projects/genomic-ml/R/R-devel/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c centroids/sdtw-cent.cpp -o centroids/sdtw-cent.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Rcpp/include' -I'/projects/genomic-ml/R/R-devel/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-devel/library/RcppParallel/include' -I'/projects/genomic-ml/R/R-devel/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c centroids/dba.cpp -o centroids/dba.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o dtwclust.so ./init.o ./tadpole/tadpole.o ./utils/ParallelWorker.o ./utils/utils.o ./utils/envelope.o ./utils/UndirectedGraph.o ./utils/R-utils.o ./utils/KahanSummer.o ./distmat/dtw-lb.o ./distmat/fillers.o ./distmat/distmat-loop.o ./distmat/distmat.o ./distances/soft-dtw.o ./distances/dtw-basic.o ./distances/calculators.o ./distances/lbi.o ./distances/logGAK.o ./distances/R-gateways.o ./distances/lbk.o ./centroids/sdtw-cent.o ./centroids/dba.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/16170037/R-devel/722/library/00LOCK-dtwclust/00new/dtwclust/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dtwclust) * installing *source* package 'mclustcomp' ... ** this is package 'mclustcomp' version '0.3.3' ** package 'mclustcomp' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' using C++11 /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++11 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Rcpp/include' -I'/projects/genomic-ml/R/R-devel/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++11 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/projects/genomic-ml/R/R-devel/library/Rcpp/include' -I'/projects/genomic-ml/R/R-devel/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c auxiliary.cpp -o auxiliary.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++11 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mclustcomp.so RcppExports.o auxiliary.o -fopenmp -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/16170037/R-devel/722/library/00LOCK-mclustcomp/00new/mclustcomp/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mclustcomp) * installing *source* package 'simTool' ... ** this is package 'simTool' version '1.1.7' ** package 'simTool' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (simTool) * installing *source* package 'clusterCrit' ... ** this is package 'clusterCrit' version '1.3.0' ** package 'clusterCrit' successfully unpacked and MD5 sums checked ** using staged installation checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether we are using the GNU C compiler... yes checking whether /packages/gcc/12.2.0-nnbserq/bin/gcc accepts -g... yes checking for /packages/gcc/12.2.0-nnbserq/bin/gcc option to accept ISO C89... none needed checking whether we are using the GNU Fortran compiler... yes checking whether /packages/gcc/12.2.0-nnbserq/bin/gfortran accepts -g... yes configure: creating ./config.status config.status: creating src/Makevars ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c criteria.c -o criteria.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c norms.f95 -o norms.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c matrix.f95 -o matrix.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c critUtils.f95 -o critUtils.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c indices.f95 -o indices.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c critCalc.f95 -o critCalc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o clusterCrit.so criteria.o norms.o matrix.o critUtils.o indices.o critCalc.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/16170037/R-devel/722/library/00LOCK-clusterCrit/00new/clusterCrit/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (clusterCrit) * installing *source* package 'latrend' ... ** this is package 'latrend' version '1.6.1' ** package 'latrend' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (latrend) * installing *source* package 'opdisDownsampling' ... ** this is package 'opdisDownsampling' version '1.0.1' ** package 'opdisDownsampling' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (opdisDownsampling) * installing *source* package 'lintr' ... ** this is package 'lintr' version '3.2.0' ** package 'lintr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lintr) * installing *source* package 'longitudinalData' ... ** this is package 'longitudinalData' version '2.4.7' ** package 'longitudinalData' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading #################################################################### ############################## Function ############################ #################################################################### ### Functions accepting NA ### ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++ Fin Function ++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ### Constantes ### #################################################################### ########################## Class LongData ########################## ############################# Creation ############################# #################################################################### ### Definition ### ################################################################### ########################## Class LongData ######################### ########################### Constructeur ########################## ################################################################### ################################################################### ########################## Class LongData ######################### ############################ Accesseurs ########################### ################################################################### ### Getteur ### ################################################################### ########################## Class LongData ######################### ############################# Affichage ########################### ################################################################### ### Method: 'show' pour LongData ### ### Method: 'print' pour LongData ### ################################################################### ########################## Class LongData ######################### ############################## Various ############################ ################################################################### ------------------------------------------------------------------- -------------------------- Class LongData ------------------------- ------------------------------- Fin ------------------------------- ------------------------------------------------------------------- #################################################################### ######################### Class LongData3d ######################### ############################# Creation ############################# #################################################################### ### Definition ### ################################################################### ########################## Class LongData ######################### ########################### Constructeur ########################## ################################################################### ################################################################### ########################## Class LongData ######################### ############################ Accesseurs ########################### ################################################################### ### Getteur ### ################################################################### ########################## Class LongData ######################### ############################# Affichage ########################### ################################################################### ### Method: 'show' pour LongData3d ### ### Method: 'print' pour LongData3d ### ################################################################### ########################## Class LongData ######################### ############################## Various ############################ ################################################################### ------------------------------------------------------------------- -------------------------- Class LongData ------------------------- ------------------------------- Fin ------------------------------- ------------------------------------------------------------------- ################################################################### ########################### class matrix ########################## ################### Imputations des manquantes #################### ################################################################### ################################################################### ########################### class matrix ########################## ################### Imputations des manquantes #################### ################################################################### ################################################################### ########################### class matrix ########################## ################### Imputations des manquantes #################### ################################################################### ################################################################### ########################## Class LongData ######################### ############################ Imputation ########################### ################################################################### +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++ Class LongData +++++++++++++++++++++++++ ++++++++++++++++++++++++++ Fin Imputation +++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ################################################################### ########################## Class Partition ######################## ############################# Criterion ########################### ################################################################### #################################################################### ########################## Class Partition ######################### ############################# Creation ############################# #################################################################### ### Definition ### #################################################################### ########################## Class Partition ######################## ############################ Constructeur ########################## #################################################################### ### Method : 'show' for partition ### #################################################################### ########################## Class Partition ######################### ############################# Accesseurs ########################### #################################################################### ### Getteur ### ### Setteur ### #################################################################### ########################## Class Partition ######################### ############################### Autre ############################## #################################################################### -------------------------------------------------------------------- ------------------------ Fin Class Partition ----------------------- -------------------------------------------------------------------- #################################################################### ######################## Class ListPartition ###################### ############################## Creation ############################ #################################################################### ### Definition ### #################################################################### ######################## Class ListPartition ###################### ############################ Constructeur ########################## #################################################################### #################################################################### ######################## Test ListPartition ###################### ############################# Accesseurs ########################### #################################################################### ### Setteur ### ### Getteur ### #################################################################### ######################## Class ListPartition ###################### ############################## Affichage ########################### #################################################################### ### Method : 'show' for yPartition ### #################################################################### ######################## Class ListPartition ###################### ############################### Autres ############################# #################################################################### Creating a generic function for 'ordered' from package 'base' in package 'longitudinalData' -------------------------------------------------------------------- ------------------------ Class ListPartition ---------------------- ------------------------------ Creation ---------------------------- -------------------------------------------------------------------- #################################################################### ######################### Class parLongData ######################## ############################# Creation ############################# #################################################################### ################################################################### ######################## Class parLongData ######################## ########################### Constructeur ########################## ################################################################### ### Method : 'show' for ParLongData ### ### Getteur ### ### Setteur ### -------------------------------------------------------------------- ----------------------- Fin Test ParLongData ----------------------- -------------------------------------------------------------------- #################################################################### ######################### Class parWindows ######################### ############################# Creation ############################# #################################################################### ################################################################### ######################### Class parWindows ######################## ########################### Constructeur ########################## ################################################################### ### Method : 'show' for ParWindows ### ### Getteur ### ### Setteur ### -------------------------------------------------------------------- -------------------------- Fin ParWindows -------------------------- -------------------------------------------------------------------- +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++ Class LongData +++++++++++++++++++++++++ +++++++++++++++++++++++++++++++ plot ++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ### Method: 'plot' pour LongData et Partition, divers ### ### Method: 'plot' pour LongData3d sans Partition ### ################################################################### ########################## Class LongData ######################### ############################## plot3d ############################# ################################################################### ################################################################### ########################## Class LongData ######################### ############################# plot3dPdf ########################### ################################################################### ------------------------------------------------------------------- ------------------------ Class LongData plot ---------------------- ------------------------------- Fin ------------------------------- ------------------------------------------------------------------- ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (longitudinalData) * installing *source* package 'lcmm' ... ** this is package 'lcmm' version '2.2.1' ** package 'lcmm' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c runiran.c -o runiran.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c compute.f90 -o compute.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c hetmixOrd.f90 -o hetmixOrd.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c hetmixlin.f90 -o hetmixlin.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c hetmixCont.f90 -o hetmixCont.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c Jointhet.f90 -o Jointhet.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c calculusTransfo.f90 -o calculusTransfo.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c predictCont.f90 -o predictCont.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c predictMult.f90 -o predictMult.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c postprob2.f90 -o postprob2.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c cvpl.f90 -o cvpl.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c predictYcond.f90 -o predictYcond.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c mpjhet.f90 -o mpjhet.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c hetmixMult.f90 -o hetmixMult.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c iteminfo.f90 -o iteminfo.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c Integ.f90 -o Integ.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o lcmm.so init.o runiran.o compute.o hetmixOrd.o hetmixlin.o hetmixCont.o Jointhet.o calculusTransfo.o predictCont.o predictMult.o postprob2.o cvpl.o predictYcond.o mpjhet.o hetmixMult.o iteminfo.o Integ.o -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/16170037/R-devel/722/library/00LOCK-lcmm/00new/lcmm/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lcmm) * installing *source* package 'mixAK' ... ** this is package 'mixAK' version '5.8' ** package 'mixAK' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c 00mixAK_init.cpp -o 00mixAK_init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c AK_BLAS.cpp -o AK_BLAS.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c AK_BSTAT.cpp -o AK_BSTAT.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c AK_LAPACK.cpp -o AK_LAPACK.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c AK_Utils.cpp -o AK_Utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Dist_Dirichlet.cpp -o Dist_Dirichlet.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Dist_Discrete.cpp -o Dist_Discrete.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Dist_MVN.cpp -o Dist_MVN.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Dist_MVT.cpp -o Dist_MVT.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Dist_TMVN.cpp -o Dist_TMVN.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Dist_TNorm.cpp -o Dist_TNorm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Dist_TmixMVN.cpp -o Dist_TmixMVN.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Dist_TmixNorm.cpp -o Dist_TmixNorm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Dist_Wishart.cpp -o Dist_Wishart.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Dist_mixMVN.cpp -o Dist_mixMVN.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Dist_mixNorm.cpp -o Dist_mixNorm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_Deviance.cpp -o GLMM_Deviance.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_Deviance2.cpp -o GLMM_Deviance2.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_Deviance2Pr_obs.cpp -o GLMM_Deviance2Pr_obs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_MCMC.cpp -o GLMM_MCMC.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_NMixRelabel.cpp -o GLMM_NMixRelabel.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_PED.cpp -o GLMM_PED.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_copy_shift_eta_meanY_Zresp.cpp -o GLMM_copy_shift_eta_meanY_Zresp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_create_SZitZiS.cpp -o GLMM_create_SZitZiS.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_create_SZitZiS_4longitDA.cpp -o GLMM_create_SZitZiS_4longitDA.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_create_XtX.cpp -o GLMM_create_XtX.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_create_ZS.cpp -o GLMM_create_ZS.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_create_ZiS.cpp -o GLMM_create_ZiS.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_dY_meanY.cpp -o GLMM_dY_meanY.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_eta_fixed_random2eta_meanY.cpp -o GLMM_eta_fixed_random2eta_meanY.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_fitted_Bernoulli_Logit.cpp -o GLMM_fitted_Bernoulli_Logit.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_fitted_Poisson_Log.cpp -o GLMM_fitted_Poisson_Log.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_linear_predictors.cpp -o GLMM_linear_predictors.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_longitDA.cpp -o GLMM_longitDA.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_longitDA2.cpp -o GLMM_longitDA2.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_longitPred_nmix_gauss.cpp -o GLMM_longitPred_nmix_gauss.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_newData.cpp -o GLMM_newData.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_scale_ZitZi.cpp -o GLMM_scale_ZitZi.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_updateFixEf.cpp -o GLMM_updateFixEf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_updateHyperVars_eps.cpp -o GLMM_updateHyperVars_eps.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_updateRanEf.cpp -o GLMM_updateRanEf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_updateRanEf_QR.cpp -o GLMM_updateRanEf_QR.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_updateVars_eps.cpp -o GLMM_updateVars_eps.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c LogLik_Bernoulli_Logit.cpp -o LogLik_Bernoulli_Logit.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c LogLik_Gauss_Identity.cpp -o LogLik_Gauss_Identity.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c LogLik_Poisson_Log.cpp -o LogLik_Poisson_Log.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c MCMC_Moments_NormalApprox.cpp -o MCMC_Moments_NormalApprox.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c MCMC_Moments_NormalApprox_QR.cpp -o MCMC_Moments_NormalApprox_QR.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c MCMC_loglik_Zwork1_stres.cpp -o MCMC_loglik_Zwork1_stres.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Misc_findIndexOfPermutation.cpp -o Misc_findIndexOfPermutation.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Misc_generatePermutations.cpp -o Misc_generatePermutations.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_ChainsDerived.cpp -o NMix_ChainsDerived.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_Deviance.cpp -o NMix_Deviance.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_MCMC.cpp -o NMix_MCMC.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_NMixRelabel.cpp -o NMix_NMixRelabel.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_PED.cpp -o NMix_PED.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_PED_coreMulti.cpp -o NMix_PED_coreMulti.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_PED_coreUni.cpp -o NMix_PED_coreUni.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_PosterMeanMixParam.cpp -o NMix_PosterMeanMixParam.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_Pr_y_and_cum_Pr_y.cpp -o NMix_Pr_y_and_cum_Pr_y.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_PredCDFMarg.cpp -o NMix_PredCDFMarg.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_PredCondDensCDFMarg.cpp -o NMix_PredCondDensCDFMarg.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_PredCondDensJoint2.cpp -o NMix_PredCondDensJoint2.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_PredDA.cpp -o NMix_PredDA.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_PredDensJoint2.cpp -o NMix_PredDensJoint2.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_PredDensMarg.cpp -o NMix_PredDensMarg.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_RJMCMC_aux_vector_u.cpp -o NMix_RJMCMC_aux_vector_u.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_RJMCMC_logJacLambdaVSigma.cpp -o NMix_RJMCMC_logJacLambdaVSigma.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_RJMCMC_logJac_part3.cpp -o NMix_RJMCMC_logJac_part3.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_RJMCMCbirth.cpp -o NMix_RJMCMCbirth.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_RJMCMCcombine.cpp -o NMix_RJMCMCcombine.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_RJMCMCdeath.cpp -o NMix_RJMCMCdeath.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_RJMCMCsplit.cpp -o NMix_RJMCMCsplit.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_Stephens_costMatrix.cpp -o NMix_Stephens_costMatrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_Stephens_step1.cpp -o NMix_Stephens_step1.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_Stephens_step2_search.cpp -o NMix_Stephens_step2_search.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_Stephens_step2_transport.cpp -o NMix_Stephens_step2_transport.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_Utils.cpp -o NMix_Utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_fullCondMean_WeightsMeansVars.cpp -o NMix_fullCondMean_WeightsMeansVars.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_orderComp.cpp -o NMix_orderComp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_reorder_Pr_y.cpp -o NMix_reorder_Pr_y.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_sum_Ir.cpp -o NMix_sum_Ir.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_updateAlloc.cpp -o NMix_updateAlloc.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_updateCensObs.cpp -o NMix_updateCensObs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_updateHyperVars.cpp -o NMix_updateHyperVars.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_updateMeansVars.cpp -o NMix_updateMeansVars.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_updateWeights.cpp -o NMix_updateWeights.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_update_sum_Ir_and_sum_Pr_y.cpp -o NMix_update_sum_Ir_and_sum_Pr_y.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Rand_RotationMatrix.cpp -o Rand_RotationMatrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Rand_SamplePair.cpp -o Rand_SamplePair.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Stat_BLA.cpp -o Stat_BLA.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Stat_Quantile.cpp -o Stat_Quantile.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mixAK.so 00mixAK_init.o AK_BLAS.o AK_BSTAT.o AK_LAPACK.o AK_Utils.o Dist_Dirichlet.o Dist_Discrete.o Dist_MVN.o Dist_MVT.o Dist_TMVN.o Dist_TNorm.o Dist_TmixMVN.o Dist_TmixNorm.o Dist_Wishart.o Dist_mixMVN.o Dist_mixNorm.o GLMM_Deviance.o GLMM_Deviance2.o GLMM_Deviance2Pr_obs.o GLMM_MCMC.o GLMM_NMixRelabel.o GLMM_PED.o GLMM_copy_shift_eta_meanY_Zresp.o GLMM_create_SZitZiS.o GLMM_create_SZitZiS_4longitDA.o GLMM_create_XtX.o GLMM_create_ZS.o GLMM_create_ZiS.o GLMM_dY_meanY.o GLMM_eta_fixed_random2eta_meanY.o GLMM_fitted_Bernoulli_Logit.o GLMM_fitted_Poisson_Log.o GLMM_linear_predictors.o GLMM_longitDA.o GLMM_longitDA2.o GLMM_longitPred_nmix_gauss.o GLMM_newData.o GLMM_scale_ZitZi.o GLMM_updateFixEf.o GLMM_updateHyperVars_eps.o GLMM_updateRanEf.o GLMM_updateRanEf_QR.o GLMM_updateVars_eps.o LogLik_Bernoulli_Logit.o LogLik_Gauss_Identity.o LogLik_Poisson_Log.o MCMC_Moments_NormalApprox.o MCMC_Moments_NormalApprox_QR.o MCMC_loglik_Zwork1_stres.o Misc_findIndexOfPermutation.o Misc_generatePermutations.o NMix_ChainsDerived.o NMix_Deviance.o NMix_MCMC.o NMix_NMixRelabel.o NMix_PED.o NMix_PED_coreMulti.o NMix_PED_coreUni.o NMix_PosterMeanMixParam.o NMix_Pr_y_and_cum_Pr_y.o NMix_PredCDFMarg.o NMix_PredCondDensCDFMarg.o NMix_PredCondDensJoint2.o NMix_PredDA.o NMix_PredDensJoint2.o NMix_PredDensMarg.o NMix_RJMCMC_aux_vector_u.o NMix_RJMCMC_logJacLambdaVSigma.o NMix_RJMCMC_logJac_part3.o NMix_RJMCMCbirth.o NMix_RJMCMCcombine.o NMix_RJMCMCdeath.o NMix_RJMCMCsplit.o NMix_Stephens_costMatrix.o NMix_Stephens_step1.o NMix_Stephens_step2_search.o NMix_Stephens_step2_transport.o NMix_Utils.o NMix_fullCondMean_WeightsMeansVars.o NMix_orderComp.o NMix_reorder_Pr_y.o NMix_sum_Ir.o NMix_updateAlloc.o NMix_updateCensObs.o NMix_updateHyperVars.o NMix_updateMeansVars.o NMix_updateWeights.o NMix_update_sum_Ir_and_sum_Pr_y.o Rand_RotationMatrix.o Rand_SamplePair.o Stat_BLA.o Stat_Quantile.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/16170037/R-devel/722/library/00LOCK-mixAK/00new/mixAK/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mixAK) * installing *source* package 'kml' ... ** this is package 'kml' version '2.5.0' ** package 'kml' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kml.c -o kml.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kml_init.c -o kml_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o kml.so kml.o kml_init.o installing to /tmp/th798/16170037/R-devel/722/library/00LOCK-kml/00new/kml/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading #################################################################### ######################### Class ClustLongData ###################### ############################## Creation ############################ #################################################################### ### Definition ### ### Getteur ### ### Setteur ### #################################################################### ######################### Class ClustLongData ###################### ############################### Autres ############################# #################################################################### -------------------------------------------------------------------- ------------------------- Class ClustLongData ---------------------- --------------------------------- Fin ------------------------------ -------------------------------------------------------------------- ### Method : 'show' for ParKml ### #################################################################### ########################## Class parChoice ######################### ############################# Creation ############################# #################################################################### ### Constructor ### ### Show ### ### Getteur ### ### Setteur ### -------------------------------------------------------------------- ------------------------ Fin Test ParChoice ------------------------ -------------------------------------------------------------------- #################################################################### ################################ kml ############################### ############################# Creation ############################# #################################################################### ### Method: 'choice' pour clusterizLongData ### ------------------------------------------------------------------- ------------------------------- kml ------------------------------- ------------------------------- Fin ------------------------------- ------------------------------------------------------------------- ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (kml) * installing *source* package 'qqplotr' ... ** this is package 'qqplotr' version '0.0.6' ** package 'qqplotr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (qqplotr) The downloaded source packages are in '/tmp/th798/16170037/RtmpuqU1FN/downloaded_packages' > cat("Time to install revdep:\n") Time to install revdep: > print(install.time) user system elapsed 413.196 40.178 485.970 > print(Sys.time()) [1] "2025-03-28 01:04:43 MST" > downloaded_packages <- file.path( + tempdir(), + "downloaded_packages") > dl.glob <- file.path( + downloaded_packages, + paste0(rev.dep,"_*.tar.gz")) > rev.dep.dl.row <- cbind(rev.dep, Sys.glob(dl.glob)) > colnames(rev.dep.dl.row) <- c("pkg","path") > rev.dep.release.tar.gz <- normalizePath(rev.dep.dl.row[,"path"], mustWork=TRUE) > pkg.Rcheck <- paste0(rev.dep, ".Rcheck") > > proj.dir <- "~/genomic-ml/data.table-revdeps" > source(file.path(proj.dir, "myStatus.R")) > Rvers <- gsub("[()]", "", gsub(" ", "_", R.version[["version.string"]])) > dir.create(Rvers, showWarnings=FALSE) > Rcheck.list <- list() > for(dt.version.short in c("release", "master")){ + dt.tar.gz <- cargs[[dt.version.short]] + dt.version <- gsub(".tar.gz|/.*?_", "", dt.tar.gz) + print(Sys.time()) + install.packages(dt.tar.gz, repos=NULL) + print(Sys.time()) + check.cmd <- get_check_cmd(rev.dep.release.tar.gz) + system(check.cmd) + print(Sys.time()) + dest.Rcheck <- file.path( + Rvers, + paste0(dt.version, ".Rcheck")) + unlink(dest.Rcheck, recursive=TRUE) + file.rename(pkg.Rcheck, dest.Rcheck) + Rcheck.list[[dt.version]] <- file.path(dest.Rcheck, "00check.log") + } [1] "2025-03-28 01:04:43 MST" Installing package into '/tmp/th798/16170037/R-devel/722/library' (as 'lib' is unspecified) * installing *source* package 'data.table' ... ** this is package 'data.table' version '1.17.0' ** package 'data.table' successfully unpacked and MD5 sums checked ** using staged installation zlib 1.2.13 is available ok * checking if R installation supports OpenMP without any extra hints... yes ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c assign.c -o assign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c between.c -o between.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bmerge.c -o bmerge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chmatch.c -o chmatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cj.c -o cj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coalesce.c -o coalesce.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dogroups.c -o dogroups.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastmean.c -o fastmean.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fcast.c -o fcast.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fifelse.c -o fifelse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmelt.c -o fmelt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c forder.c -o forder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frank.c -o frank.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fread.c -o fread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c freadR.c -o freadR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c froll.c -o froll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollR.c -o frollR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frolladaptive.c -o frolladaptive.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fsort.c -o fsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwrite.c -o fwrite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwriteR.c -o fwriteR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gsumm.c -o gsumm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idatetime.c -o idatetime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ijoin.c -o ijoin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inrange.c -o inrange.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nafill.c -o nafill.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c negate.c -o negate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nqrecreateindices.c -o nqrecreateindices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c openmp-utils.c -o openmp-utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c programming.c -o programming.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quickselect.c -o quickselect.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbindlist.c -o rbindlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reorder.c -o reorder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shift.c -o shift.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snprintf.c -o snprintf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subset.c -o subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose.c -o transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c types.c -o types.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uniqlist.c -o uniqlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vecseq.c -o vecseq.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrappers.c -o wrappers.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o fsort.o fwrite.o fwriteR.o gsumm.o idatetime.o ijoin.o init.o inrange.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz PKG_CFLAGS = -fopenmp -I/home/th798/.conda/envs/emacs1/include PKG_LIBS = -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi installing to /tmp/th798/16170037/R-devel/722/library/00LOCK-data.table/00new/data.table/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (data.table) [1] "2025-03-28 01:05:12 MST" * using log directory '/tmp/th798/16170037/R-devel/722/latrend.Rcheck' * using R Under development (unstable) (2025-03-27 r88065) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (Spack GCC) 12.2.0 GNU Fortran (Spack GCC) 12.2.0 * running under: Red Hat Enterprise Linux 8.10 (Ootpa) * using session charset: ASCII * checking for file 'latrend/DESCRIPTION' ... OK * checking extension type ... Package * this is package 'latrend' version '1.6.1' * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for executable files ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package 'latrend' can be installed ... OK * checking installed package size ... OK * checking package directory ... OK * checking 'build' directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking loading without being on the library search path ... OK * checking whether startup messages can be suppressed ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking contents of 'data' directory ... OK * checking data for non-ASCII characters ... OK * checking LazyData ... OK * checking data for ASCII and uncompressed saves ... OK * checking installed files from 'inst/doc' ... OK * checking files in 'vignettes' ... OK * checking examples ... OK Examples with CPU (user + system) or elapsed time > 5s user system elapsed lcMethodDtwclust 24.495 3.499 29.242 * checking for unstated dependencies in 'tests' ... OK * checking tests ... Running 'testthat.R' OK * checking for unstated dependencies in vignettes ... OK * checking package vignettes ... OK * checking re-building of vignette outputs ... OK * checking PDF version of manual ... OK * DONE Status: OK [1] "2025-03-28 01:12:43 MST" [1] "2025-03-28 01:12:43 MST" Installing package into '/tmp/th798/16170037/R-devel/722/library' (as 'lib' is unspecified) * installing *source* package 'data.table' ... ** this is package 'data.table' version '1.17.99' ** using staged installation zlib 1.2.13 is available ok * checking if R installation supports OpenMP without any extra hints... yes ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c assign.c -o assign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c between.c -o between.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bmerge.c -o bmerge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chmatch.c -o chmatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cj.c -o cj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coalesce.c -o coalesce.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dogroups.c -o dogroups.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastmean.c -o fastmean.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fcast.c -o fcast.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fifelse.c -o fifelse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmelt.c -o fmelt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c forder.c -o forder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frank.c -o frank.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fread.c -o fread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c freadR.c -o freadR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c froll.c -o froll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollR.c -o frollR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frolladaptive.c -o frolladaptive.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fsort.c -o fsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwrite.c -o fwrite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwriteR.c -o fwriteR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gsumm.c -o gsumm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idatetime.c -o idatetime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ijoin.c -o ijoin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inrange.c -o inrange.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nafill.c -o nafill.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c negate.c -o negate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nqrecreateindices.c -o nqrecreateindices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c openmp-utils.c -o openmp-utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c programming.c -o programming.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quickselect.c -o quickselect.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbindlist.c -o rbindlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reorder.c -o reorder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shift.c -o shift.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snprintf.c -o snprintf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subset.c -o subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose.c -o transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c types.c -o types.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uniqlist.c -o uniqlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vecseq.c -o vecseq.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrappers.c -o wrappers.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o fsort.o fwrite.o fwriteR.o gsumm.o idatetime.o ijoin.o init.o inrange.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz PKG_CFLAGS = -fopenmp -I/home/th798/.conda/envs/emacs1/include PKG_LIBS = -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi installing to /tmp/th798/16170037/R-devel/722/library/00LOCK-data.table/00new/data.table/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (data.table) [1] "2025-03-28 01:13:11 MST" * using log directory '/tmp/th798/16170037/R-devel/722/latrend.Rcheck' * using R Under development (unstable) (2025-03-27 r88065) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (Spack GCC) 12.2.0 GNU Fortran (Spack GCC) 12.2.0 * running under: Red Hat Enterprise Linux 8.10 (Ootpa) * using session charset: ASCII * checking for file 'latrend/DESCRIPTION' ... OK * checking extension type ... Package * this is package 'latrend' version '1.6.1' * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for executable files ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package 'latrend' can be installed ... OK * checking installed package size ... OK * checking package directory ... OK * checking 'build' directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking loading without being on the library search path ... OK * checking whether startup messages can be suppressed ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking contents of 'data' directory ... OK * checking data for non-ASCII characters ... OK * checking LazyData ... OK * checking data for ASCII and uncompressed saves ... OK * checking installed files from 'inst/doc' ... OK * checking files in 'vignettes' ... OK * checking examples ... OK Examples with CPU (user + system) or elapsed time > 5s user system elapsed lcMethodDtwclust 30.583 4.684 36.681 * checking for unstated dependencies in 'tests' ... OK * checking tests ... Running 'testthat.R' OK * checking for unstated dependencies in vignettes ... OK * checking package vignettes ... OK * checking re-building of vignette outputs ... OK * checking PDF version of manual ... OK * DONE Status: OK [1] "2025-03-28 01:20:40 MST" > system(paste(c("diff -u", Rcheck.list), collapse=" ")) --- R_Under_development_unstable_2025-03-27_r88065/release_1.17.0.Rcheck/00check.log 2025-03-28 01:12:43.751468030 -0700 +++ R_Under_development_unstable_2025-03-27_r88065/master_1.17.99.2cb03162a21328cc5f68a8c3b0e554f5edfcb5b9.Rcheck/00check.log 2025-03-28 01:20:40.335591762 -0700 @@ -58,7 +58,7 @@ * checking examples ... OK Examples with CPU (user + system) or elapsed time > 5s user system elapsed -lcMethodDtwclust 24.495 3.499 29.242 +lcMethodDtwclust 30.583 4.684 36.681 * checking for unstated dependencies in 'tests' ... OK * checking tests ... OK Running 'testthat.R' > library(data.table, lib.loc=R.home("library")) > (sig.diff.dt <- myDiff(Rvers)) Key: Empty data.table (0 rows and 3 cols): checking,master,release > > ## If there are significant differences, use git bisect to find when > ## they started. > if(nrow(sig.diff.dt)){ + dt.git <- file.path(task.dir, "data.table.git") + system(paste("cd ~/R/data.table && git fetch --tags")) + system(paste("git clone ~/R/data.table", dt.git)) + release.tag <- gsub(".tar.gz|.*_", "", cargs[["release"]]) + rev.parse.cmd <- paste( + "cd", dt.git, "&& git rev-parse master") + master.sha <- system(rev.parse.cmd, intern=TRUE) + merge.base.cmd <- paste( + "cd", dt.git, "&& git merge-base master", release.tag) + merge.base.sha <- system(merge.base.cmd, intern=TRUE) + old.sha <- merge.base.sha + run_R <- file.path(proj.dir, "install_dt_then_check_dep.R") + sig.diff.dt[, first.bad.commit := NA_character_] + sig.diff.dt[, comments := NA_character_] + for(diff.i in 1:nrow(sig.diff.dt)){ + sig.diff.row <- sig.diff.dt[diff.i] + bisect.cmd <- paste( + "cd", dt.git, "&&", + "git bisect start &&", + "git bisect old", old.sha, "&&", + "git bisect new master &&", + "git bisect run", + R.home('bin/Rscript'), + run_R, + shQuote(sig.diff.row$checking), + sig.diff.row$release, + rev.dep.release.tar.gz, + release.tag) + print(bisect.cmd) + bisect.out <- system(bisect.cmd, intern=TRUE) + cat(bisect.out,sep="\n") + if(is.null(attr(bisect.out,"status"))){ + first.bad.sha <- nc::capture_all_str( + bisect.out, + sha="[0-9a-f]+", + " is the first new commit")$sha + parent.cmd <- paste( + "cd ~/R/data.table && git log --pretty=%P -n 1", + first.bad.sha) + parent.sha <- system(parent.cmd, intern=TRUE) + sig.diff.dt[diff.i, first.bad.commit := first.bad.sha] + parent.msg <- paste0("parent=", parent.sha) + this.comment <- if(parent.sha==old.sha){ + paste(parent.msg, "same as git bisect old") + }else if(first.bad.sha==master.sha){ + paste("same as git bisect new=master,", parent.msg) + }else{ + parent.msg + } + sig.diff.dt[diff.i, comments := this.comment] + } + } + ## add CRAN column. + sig.diff.dt[, CRAN := { + flavor <- get_flavor(Rvers) + details <- data.table(flavor=unique(flavor))[, { + base <- "https://www.r-project.org/nosvn/R.check/" + u <- paste0(base, flavor, "/", rev.dep, "-00check.txt") + check.txt <- tempfile() + tryCatch({ + download.file(u, check.txt, quiet=TRUE) + }, error=function(e){ + NULL + }) + check.lines <- if(file.exists(check.txt)){ + readLines(check.txt,encoding="UTF-8") + }else{ + "" + } + repl.lines <- gsub("[\u2018\u2019]", "'", check.lines) + ##gsub("[‘’]", "'", check.lines) does not work with LC_ALL=C. + myStatus(line.vec=repl.lines) + }, by=flavor] + select.dt <- data.table(flavor, checking) + details[select.dt, msg, on=.(flavor, checking)] + }] + dir.create(file.path(job.dir, Rvers)) + diffs.csv <- file.path(job.dir, Rvers, "significant_differences.csv") + data.table::fwrite(sig.diff.dt, diffs.csv) + print(sig.diff.dt) + } > WARNING: ignoring environment value of R_HOME R version 4.4.3 (2025-02-28) -- "Trophy Case" Copyright (C) 2025 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > cargs <- commandArgs(trailingOnly=TRUE) > if(length(cargs)==0){ + ## before running interactively, make sure to start emacs/R with + ## environment defined in /scratch/...check_one.sh, particularly + ## R_LIBS_USER=/tmp/... otherwise we get error when installing + ## data.table. + base <- "/scratch/th798/data.table-revdeps/*" + cargs <- c( + Sys.glob(file.path(base,"deps.csv")), + "349", + Sys.glob(file.path(base, "data.table_release_*tar.gz")), + Sys.glob(file.path(base, "data.table_master_*tar.gz")) + ) + } > names(cargs) <- c("deps.csv", "task.str", "release", "master") > dput(cargs) c(deps.csv = "/scratch/th798/data.table-revdeps/2025-03-28/deps.csv", task.str = "722", release = "/scratch/th798/data.table-revdeps/2025-03-28/data.table_release_1.17.0.tar.gz", master = "/scratch/th798/data.table-revdeps/2025-03-28/data.table_master_1.17.99.2cb03162a21328cc5f68a8c3b0e554f5edfcb5b9.tar.gz" ) > (task.dir <- dirname(.libPaths()[1]))#should be /tmp/th798/slurmid/R-vers [1] "/tmp/th798/16170037/R-release/722" > if(requireNamespace("R.cache"))R.cache::getCachePath() Loading required namespace: R.cache [1] "/tmp/th798/16170037/R-release/722/R.cache" > task.id <- as.integer(cargs[["task.str"]]) > deps.df <- read.csv(cargs[["deps.csv"]]) > (rev.dep <- deps.df$Package[task.id]) [1] "latrend" > job.dir <- file.path(dirname(cargs[["deps.csv"]]), "tasks", task.id) > setwd(task.dir) > .libPaths() [1] "/tmp/th798/16170037/R-release/722/library" [2] "/projects/genomic-ml/R/R-release/library" > options(repos=c(#this should be in ~/.Rprofile too. + CRAN="http://cloud.r-project.org")) > print(Sys.time()) [1] "2025-03-28 01:20:46 MST" > install.time <- system.time({ + install.packages(rev.dep, dep=TRUE) + }) Installing package into '/tmp/th798/16170037/R-release/722/library' (as 'lib' is unspecified) also installing the dependencies 'twosamples', 'xmlparsedata', 'clv', 'spacefillr', 'marqLevAlg', 'RcppThread', 'fastGHQuad', 'opdisDownsampling', 'lintr', 'longitudinalData', 'kml', 'lcmm', 'funFEM', 'crimCV', 'dtwclust', 'mixAK', 'mclustcomp', 'qqplotr', 'simTool', 'clusterCrit' trying URL 'http://cloud.r-project.org/src/contrib/twosamples_2.0.1.tar.gz' Content type 'application/x-gzip' length 134911 bytes (131 KB) ================================================== downloaded 131 KB trying URL 'http://cloud.r-project.org/src/contrib/xmlparsedata_1.0.5.tar.gz' Content type 'application/x-gzip' length 8993 bytes ================================================== downloaded 8993 bytes trying URL 'http://cloud.r-project.org/src/contrib/clv_0.3-2.4.tar.gz' Content type 'application/x-gzip' length 44507 bytes (43 KB) ================================================== downloaded 43 KB trying URL 'http://cloud.r-project.org/src/contrib/spacefillr_0.4.0.tar.gz' Content type 'application/x-gzip' length 3287801 bytes (3.1 MB) ================================================== downloaded 3.1 MB trying URL 'http://cloud.r-project.org/src/contrib/marqLevAlg_2.0.8.tar.gz' Content type 'application/x-gzip' length 235148 bytes (229 KB) ================================================== downloaded 229 KB trying URL 'http://cloud.r-project.org/src/contrib/RcppThread_2.2.0.tar.gz' Content type 'application/x-gzip' length 168665 bytes (164 KB) ================================================== downloaded 164 KB trying URL 'http://cloud.r-project.org/src/contrib/fastGHQuad_1.0.1.tar.gz' Content type 'application/x-gzip' length 10065 bytes ================================================== downloaded 10065 bytes trying URL 'http://cloud.r-project.org/src/contrib/opdisDownsampling_1.0.1.tar.gz' Content type 'application/x-gzip' length 2981892 bytes (2.8 MB) ================================================== downloaded 2.8 MB trying URL 'http://cloud.r-project.org/src/contrib/lintr_3.2.0.tar.gz' Content type 'application/x-gzip' length 1390909 bytes (1.3 MB) ================================================== downloaded 1.3 MB trying URL 'http://cloud.r-project.org/src/contrib/longitudinalData_2.4.7.tar.gz' Content type 'application/x-gzip' length 82647 bytes (80 KB) ================================================== downloaded 80 KB trying URL 'http://cloud.r-project.org/src/contrib/kml_2.5.0.tar.gz' Content type 'application/x-gzip' length 41146 bytes (40 KB) ================================================== downloaded 40 KB trying URL 'http://cloud.r-project.org/src/contrib/lcmm_2.2.1.tar.gz' Content type 'application/x-gzip' length 726067 bytes (709 KB) ================================================== downloaded 709 KB trying URL 'http://cloud.r-project.org/src/contrib/funFEM_1.2.tar.gz' Content type 'application/x-gzip' length 355766 bytes (347 KB) ================================================== downloaded 347 KB trying URL 'http://cloud.r-project.org/src/contrib/crimCV_1.0.0.tar.gz' Content type 'application/x-gzip' length 138054 bytes (134 KB) ================================================== downloaded 134 KB trying URL 'http://cloud.r-project.org/src/contrib/dtwclust_6.0.0.tar.gz' Content type 'application/x-gzip' length 2070727 bytes (2.0 MB) ================================================== downloaded 2.0 MB trying URL 'http://cloud.r-project.org/src/contrib/mixAK_5.8.tar.gz' Content type 'application/x-gzip' length 927470 bytes (905 KB) ================================================== downloaded 905 KB trying URL 'http://cloud.r-project.org/src/contrib/mclustcomp_0.3.3.tar.gz' Content type 'application/x-gzip' length 30448 bytes (29 KB) ================================================== downloaded 29 KB trying URL 'http://cloud.r-project.org/src/contrib/qqplotr_0.0.6.tar.gz' Content type 'application/x-gzip' length 963248 bytes (940 KB) ================================================== downloaded 940 KB trying URL 'http://cloud.r-project.org/src/contrib/simTool_1.1.7.tar.gz' Content type 'application/x-gzip' length 315686 bytes (308 KB) ================================================== downloaded 308 KB trying URL 'http://cloud.r-project.org/src/contrib/clusterCrit_1.3.0.tar.gz' Content type 'application/x-gzip' length 596881 bytes (582 KB) ================================================== downloaded 582 KB trying URL 'http://cloud.r-project.org/src/contrib/latrend_1.6.1.tar.gz' Content type 'application/x-gzip' length 637802 bytes (622 KB) ================================================== downloaded 622 KB * installing *source* package 'twosamples' ... ** package 'twosamples' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cpp11.cpp -o cpp11.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/cpp11/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c stat_functions.cpp -o stat_functions.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o twosamples.so cpp11.o stat_functions.o installing to /tmp/th798/16170037/R-release/722/library/00LOCK-twosamples/00new/twosamples/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (twosamples) * installing *source* package 'xmlparsedata' ... ** package 'xmlparsedata' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (xmlparsedata) * installing *source* package 'clv' ... ** package 'clv' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c SD_SDbw_indicies.c -o SD_SDbw_indicies.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c VCLDefines.c -o VCLDefines.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cluster_scatter.c -o cluster_scatter.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cluster_stability.c -o cluster_stability.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c connectivity.c -o connectivity.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dot_product.c -o dot_product.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c matrix_scatter_measures.c -o matrix_scatter_measures.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c optimal_assignment.c -o optimal_assignment.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c standard_external_measures.c -o standard_external_measures.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o clv.so SD_SDbw_indicies.o VCLDefines.o cluster_scatter.o cluster_stability.o connectivity.o dot_product.o matrix_scatter_measures.o optimal_assignment.o standard_external_measures.o installing to /tmp/th798/16170037/R-release/722/library/00LOCK-clv/00new/clv/libs ** R ** demo ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (clv) * installing *source* package 'spacefillr' ... ** package 'spacefillr' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' using C++17 /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c generate_point_functions.cpp -o generate_point_functions.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o spacefillr.so RcppExports.o generate_point_functions.o installing to /tmp/th798/16170037/R-release/722/library/00LOCK-spacefillr/00new/spacefillr/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (spacefillr) * installing *source* package 'marqLevAlg' ... ** package 'marqLevAlg' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dmfsd.f90 -o dmfsd.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dsinv.f90 -o dsinv.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c dchole.f90 -o dchole.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o marqLevAlg.so init.o dsinv.o dchole.o dmfsd.o -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/16170037/R-release/722/library/00LOCK-marqLevAlg/00new/marqLevAlg/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (marqLevAlg) * installing *source* package 'RcppThread' ... ** package 'RcppThread' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c detectCores.cpp -o detectCores.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I../inst/include -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c testGlobal.cpp -o testGlobal.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o RcppThread.so detectCores.o testGlobal.o -latomic -lpthread installing to /tmp/th798/16170037/R-release/722/library/00LOCK-RcppThread/00new/RcppThread/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RcppThread) * installing *source* package 'fastGHQuad' ... ** package 'fastGHQuad' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cpp -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c lib.cpp -o lib.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o fastGHQuad.so init.o lib.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/16170037/R-release/722/library/00LOCK-fastGHQuad/00new/fastGHQuad/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fastGHQuad) * installing *source* package 'funFEM' ... ** package 'funFEM' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (funFEM) * installing *source* package 'crimCV' ... ** package 'crimCV' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c crimCV.f90 -o crimCV.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c packagename_init.c -o packagename_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrap.c -o wrap.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o crimCV.so crimCV.o packagename_init.o wrap.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/16170037/R-release/722/library/00LOCK-crimCV/00new/crimCV/libs ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (crimCV) * installing *source* package 'mclustcomp' ... ** package 'mclustcomp' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' using C++11 /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++11 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Rcpp/include' -I'/projects/genomic-ml/R/R-release/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++11 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Rcpp/include' -I'/projects/genomic-ml/R/R-release/library/RcppArmadillo/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c auxiliary.cpp -o auxiliary.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++11 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mclustcomp.so RcppExports.o auxiliary.o -fopenmp -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/16170037/R-release/722/library/00LOCK-mclustcomp/00new/mclustcomp/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mclustcomp) * installing *source* package 'simTool' ... ** package 'simTool' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (simTool) * installing *source* package 'clusterCrit' ... ** package 'clusterCrit' successfully unpacked and MD5 sums checked ** using staged installation checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether we are using the GNU C compiler... yes checking whether /packages/gcc/12.2.0-nnbserq/bin/gcc accepts -g... yes checking for /packages/gcc/12.2.0-nnbserq/bin/gcc option to accept ISO C89... none needed checking whether we are using the GNU Fortran compiler... yes checking whether /packages/gcc/12.2.0-nnbserq/bin/gfortran accepts -g... yes configure: creating ./config.status config.status: creating src/Makevars ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c criteria.c -o criteria.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c norms.f95 -o norms.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c matrix.f95 -o matrix.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c critUtils.f95 -o critUtils.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c indices.f95 -o indices.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c critCalc.f95 -o critCalc.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o clusterCrit.so criteria.o norms.o matrix.o critUtils.o indices.o critCalc.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/16170037/R-release/722/library/00LOCK-clusterCrit/00new/clusterCrit/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (clusterCrit) * installing *source* package 'latrend' ... ** package 'latrend' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (latrend) * installing *source* package 'opdisDownsampling' ... ** package 'opdisDownsampling' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (opdisDownsampling) * installing *source* package 'lintr' ... ** package 'lintr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lintr) * installing *source* package 'longitudinalData' ... ** package 'longitudinalData' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading #################################################################### ############################## Function ############################ #################################################################### ### Functions accepting NA ### ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++ Fin Function ++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ### Constantes ### #################################################################### ########################## Class LongData ########################## ############################# Creation ############################# #################################################################### ### Definition ### ################################################################### ########################## Class LongData ######################### ########################### Constructeur ########################## ################################################################### ################################################################### ########################## Class LongData ######################### ############################ Accesseurs ########################### ################################################################### ### Getteur ### ################################################################### ########################## Class LongData ######################### ############################# Affichage ########################### ################################################################### ### Method: 'show' pour LongData ### ### Method: 'print' pour LongData ### ################################################################### ########################## Class LongData ######################### ############################## Various ############################ ################################################################### ------------------------------------------------------------------- -------------------------- Class LongData ------------------------- ------------------------------- Fin ------------------------------- ------------------------------------------------------------------- #################################################################### ######################### Class LongData3d ######################### ############################# Creation ############################# #################################################################### ### Definition ### ################################################################### ########################## Class LongData ######################### ########################### Constructeur ########################## ################################################################### ################################################################### ########################## Class LongData ######################### ############################ Accesseurs ########################### ################################################################### ### Getteur ### ################################################################### ########################## Class LongData ######################### ############################# Affichage ########################### ################################################################### ### Method: 'show' pour LongData3d ### ### Method: 'print' pour LongData3d ### ################################################################### ########################## Class LongData ######################### ############################## Various ############################ ################################################################### ------------------------------------------------------------------- -------------------------- Class LongData ------------------------- ------------------------------- Fin ------------------------------- ------------------------------------------------------------------- ################################################################### ########################### class matrix ########################## ################### Imputations des manquantes #################### ################################################################### ################################################################### ########################### class matrix ########################## ################### Imputations des manquantes #################### ################################################################### ################################################################### ########################### class matrix ########################## ################### Imputations des manquantes #################### ################################################################### ################################################################### ########################## Class LongData ######################### ############################ Imputation ########################### ################################################################### +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++ Class LongData +++++++++++++++++++++++++ ++++++++++++++++++++++++++ Fin Imputation +++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ################################################################### ########################## Class Partition ######################## ############################# Criterion ########################### ################################################################### #################################################################### ########################## Class Partition ######################### ############################# Creation ############################# #################################################################### ### Definition ### #################################################################### ########################## Class Partition ######################## ############################ Constructeur ########################## #################################################################### ### Method : 'show' for partition ### #################################################################### ########################## Class Partition ######################### ############################# Accesseurs ########################### #################################################################### ### Getteur ### ### Setteur ### #################################################################### ########################## Class Partition ######################### ############################### Autre ############################## #################################################################### -------------------------------------------------------------------- ------------------------ Fin Class Partition ----------------------- -------------------------------------------------------------------- #################################################################### ######################## Class ListPartition ###################### ############################## Creation ############################ #################################################################### ### Definition ### #################################################################### ######################## Class ListPartition ###################### ############################ Constructeur ########################## #################################################################### #################################################################### ######################## Test ListPartition ###################### ############################# Accesseurs ########################### #################################################################### ### Setteur ### ### Getteur ### #################################################################### ######################## Class ListPartition ###################### ############################## Affichage ########################### #################################################################### ### Method : 'show' for yPartition ### #################################################################### ######################## Class ListPartition ###################### ############################### Autres ############################# #################################################################### Creating a generic function for 'ordered' from package 'base' in package 'longitudinalData' -------------------------------------------------------------------- ------------------------ Class ListPartition ---------------------- ------------------------------ Creation ---------------------------- -------------------------------------------------------------------- #################################################################### ######################### Class parLongData ######################## ############################# Creation ############################# #################################################################### ################################################################### ######################## Class parLongData ######################## ########################### Constructeur ########################## ################################################################### ### Method : 'show' for ParLongData ### ### Getteur ### ### Setteur ### -------------------------------------------------------------------- ----------------------- Fin Test ParLongData ----------------------- -------------------------------------------------------------------- #################################################################### ######################### Class parWindows ######################### ############################# Creation ############################# #################################################################### ################################################################### ######################### Class parWindows ######################## ########################### Constructeur ########################## ################################################################### ### Method : 'show' for ParWindows ### ### Getteur ### ### Setteur ### -------------------------------------------------------------------- -------------------------- Fin ParWindows -------------------------- -------------------------------------------------------------------- +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++ Class LongData +++++++++++++++++++++++++ +++++++++++++++++++++++++++++++ plot ++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ### Method: 'plot' pour LongData et Partition, divers ### ### Method: 'plot' pour LongData3d sans Partition ### ################################################################### ########################## Class LongData ######################### ############################## plot3d ############################# ################################################################### ################################################################### ########################## Class LongData ######################### ############################# plot3dPdf ########################### ################################################################### ------------------------------------------------------------------- ------------------------ Class LongData plot ---------------------- ------------------------------- Fin ------------------------------- ------------------------------------------------------------------- ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (longitudinalData) * installing *source* package 'lcmm' ... ** package 'lcmm' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c runiran.c -o runiran.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c compute.f90 -o compute.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c hetmixOrd.f90 -o hetmixOrd.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c hetmixlin.f90 -o hetmixlin.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c hetmixCont.f90 -o hetmixCont.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c Jointhet.f90 -o Jointhet.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c calculusTransfo.f90 -o calculusTransfo.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c predictCont.f90 -o predictCont.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c predictMult.f90 -o predictMult.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c postprob2.f90 -o postprob2.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c cvpl.f90 -o cvpl.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c predictYcond.f90 -o predictYcond.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c mpjhet.f90 -o mpjhet.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c hetmixMult.f90 -o hetmixMult.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c iteminfo.f90 -o iteminfo.o /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c Integ.f90 -o Integ.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o lcmm.so init.o runiran.o compute.o hetmixOrd.o hetmixlin.o hetmixCont.o Jointhet.o calculusTransfo.o predictCont.o predictMult.o postprob2.o cvpl.o predictYcond.o mpjhet.o hetmixMult.o iteminfo.o Integ.o -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath installing to /tmp/th798/16170037/R-release/722/library/00LOCK-lcmm/00new/lcmm/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lcmm) * installing *source* package 'dtwclust' ... ** package 'dtwclust' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Rcpp/include' -I'/projects/genomic-ml/R/R-release/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-release/library/RcppParallel/include' -I'/tmp/th798/16170037/R-release/722/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.cpp -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Rcpp/include' -I'/projects/genomic-ml/R/R-release/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-release/library/RcppParallel/include' -I'/tmp/th798/16170037/R-release/722/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tadpole/tadpole.cpp -o tadpole/tadpole.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Rcpp/include' -I'/projects/genomic-ml/R/R-release/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-release/library/RcppParallel/include' -I'/tmp/th798/16170037/R-release/722/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils/ParallelWorker.cpp -o utils/ParallelWorker.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Rcpp/include' -I'/projects/genomic-ml/R/R-release/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-release/library/RcppParallel/include' -I'/tmp/th798/16170037/R-release/722/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils/utils.cpp -o utils/utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Rcpp/include' -I'/projects/genomic-ml/R/R-release/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-release/library/RcppParallel/include' -I'/tmp/th798/16170037/R-release/722/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils/envelope.cpp -o utils/envelope.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Rcpp/include' -I'/projects/genomic-ml/R/R-release/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-release/library/RcppParallel/include' -I'/tmp/th798/16170037/R-release/722/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils/UndirectedGraph.cpp -o utils/UndirectedGraph.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Rcpp/include' -I'/projects/genomic-ml/R/R-release/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-release/library/RcppParallel/include' -I'/tmp/th798/16170037/R-release/722/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils/R-utils.cpp -o utils/R-utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Rcpp/include' -I'/projects/genomic-ml/R/R-release/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-release/library/RcppParallel/include' -I'/tmp/th798/16170037/R-release/722/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils/KahanSummer.cpp -o utils/KahanSummer.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Rcpp/include' -I'/projects/genomic-ml/R/R-release/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-release/library/RcppParallel/include' -I'/tmp/th798/16170037/R-release/722/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c distmat/dtw-lb.cpp -o distmat/dtw-lb.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Rcpp/include' -I'/projects/genomic-ml/R/R-release/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-release/library/RcppParallel/include' -I'/tmp/th798/16170037/R-release/722/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c distmat/fillers.cpp -o distmat/fillers.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Rcpp/include' -I'/projects/genomic-ml/R/R-release/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-release/library/RcppParallel/include' -I'/tmp/th798/16170037/R-release/722/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c distmat/distmat-loop.cpp -o distmat/distmat-loop.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Rcpp/include' -I'/projects/genomic-ml/R/R-release/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-release/library/RcppParallel/include' -I'/tmp/th798/16170037/R-release/722/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c distmat/distmat.cpp -o distmat/distmat.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Rcpp/include' -I'/projects/genomic-ml/R/R-release/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-release/library/RcppParallel/include' -I'/tmp/th798/16170037/R-release/722/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c distances/soft-dtw.cpp -o distances/soft-dtw.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Rcpp/include' -I'/projects/genomic-ml/R/R-release/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-release/library/RcppParallel/include' -I'/tmp/th798/16170037/R-release/722/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c distances/dtw-basic.cpp -o distances/dtw-basic.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Rcpp/include' -I'/projects/genomic-ml/R/R-release/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-release/library/RcppParallel/include' -I'/tmp/th798/16170037/R-release/722/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c distances/calculators.cpp -o distances/calculators.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Rcpp/include' -I'/projects/genomic-ml/R/R-release/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-release/library/RcppParallel/include' -I'/tmp/th798/16170037/R-release/722/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c distances/lbi.cpp -o distances/lbi.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Rcpp/include' -I'/projects/genomic-ml/R/R-release/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-release/library/RcppParallel/include' -I'/tmp/th798/16170037/R-release/722/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c distances/logGAK.cpp -o distances/logGAK.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Rcpp/include' -I'/projects/genomic-ml/R/R-release/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-release/library/RcppParallel/include' -I'/tmp/th798/16170037/R-release/722/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c distances/R-gateways.cpp -o distances/R-gateways.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Rcpp/include' -I'/projects/genomic-ml/R/R-release/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-release/library/RcppParallel/include' -I'/tmp/th798/16170037/R-release/722/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c distances/lbk.cpp -o distances/lbk.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Rcpp/include' -I'/projects/genomic-ml/R/R-release/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-release/library/RcppParallel/include' -I'/tmp/th798/16170037/R-release/722/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c centroids/sdtw-cent.cpp -o centroids/sdtw-cent.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I'/projects/genomic-ml/R/R-release/library/Rcpp/include' -I'/projects/genomic-ml/R/R-release/library/RcppArmadillo/include' -I'/projects/genomic-ml/R/R-release/library/RcppParallel/include' -I'/tmp/th798/16170037/R-release/722/library/RcppThread/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -DRCPP_USE_UNWIND_PROTECT -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c centroids/dba.cpp -o centroids/dba.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o dtwclust.so ./init.o ./tadpole/tadpole.o ./utils/ParallelWorker.o ./utils/utils.o ./utils/envelope.o ./utils/UndirectedGraph.o ./utils/R-utils.o ./utils/KahanSummer.o ./distmat/dtw-lb.o ./distmat/fillers.o ./distmat/distmat-loop.o ./distmat/distmat.o ./distances/soft-dtw.o ./distances/dtw-basic.o ./distances/calculators.o ./distances/lbi.o ./distances/logGAK.o ./distances/R-gateways.o ./distances/lbk.o ./centroids/sdtw-cent.o ./centroids/dba.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/16170037/R-release/722/library/00LOCK-dtwclust/00new/dtwclust/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dtwclust) * installing *source* package 'mixAK' ... ** package 'mixAK' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c 00mixAK_init.cpp -o 00mixAK_init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c AK_BLAS.cpp -o AK_BLAS.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c AK_BSTAT.cpp -o AK_BSTAT.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c AK_LAPACK.cpp -o AK_LAPACK.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c AK_Utils.cpp -o AK_Utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Dist_Dirichlet.cpp -o Dist_Dirichlet.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Dist_Discrete.cpp -o Dist_Discrete.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Dist_MVN.cpp -o Dist_MVN.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Dist_MVT.cpp -o Dist_MVT.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Dist_TMVN.cpp -o Dist_TMVN.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Dist_TNorm.cpp -o Dist_TNorm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Dist_TmixMVN.cpp -o Dist_TmixMVN.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Dist_TmixNorm.cpp -o Dist_TmixNorm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Dist_Wishart.cpp -o Dist_Wishart.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Dist_mixMVN.cpp -o Dist_mixMVN.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Dist_mixNorm.cpp -o Dist_mixNorm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_Deviance.cpp -o GLMM_Deviance.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_Deviance2.cpp -o GLMM_Deviance2.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_Deviance2Pr_obs.cpp -o GLMM_Deviance2Pr_obs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_MCMC.cpp -o GLMM_MCMC.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_NMixRelabel.cpp -o GLMM_NMixRelabel.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_PED.cpp -o GLMM_PED.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_copy_shift_eta_meanY_Zresp.cpp -o GLMM_copy_shift_eta_meanY_Zresp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_create_SZitZiS.cpp -o GLMM_create_SZitZiS.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_create_SZitZiS_4longitDA.cpp -o GLMM_create_SZitZiS_4longitDA.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_create_XtX.cpp -o GLMM_create_XtX.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_create_ZS.cpp -o GLMM_create_ZS.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_create_ZiS.cpp -o GLMM_create_ZiS.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_dY_meanY.cpp -o GLMM_dY_meanY.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_eta_fixed_random2eta_meanY.cpp -o GLMM_eta_fixed_random2eta_meanY.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_fitted_Bernoulli_Logit.cpp -o GLMM_fitted_Bernoulli_Logit.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_fitted_Poisson_Log.cpp -o GLMM_fitted_Poisson_Log.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_linear_predictors.cpp -o GLMM_linear_predictors.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_longitDA.cpp -o GLMM_longitDA.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_longitDA2.cpp -o GLMM_longitDA2.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_longitPred_nmix_gauss.cpp -o GLMM_longitPred_nmix_gauss.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_newData.cpp -o GLMM_newData.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_scale_ZitZi.cpp -o GLMM_scale_ZitZi.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_updateFixEf.cpp -o GLMM_updateFixEf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_updateHyperVars_eps.cpp -o GLMM_updateHyperVars_eps.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_updateRanEf.cpp -o GLMM_updateRanEf.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_updateRanEf_QR.cpp -o GLMM_updateRanEf_QR.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c GLMM_updateVars_eps.cpp -o GLMM_updateVars_eps.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c LogLik_Bernoulli_Logit.cpp -o LogLik_Bernoulli_Logit.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c LogLik_Gauss_Identity.cpp -o LogLik_Gauss_Identity.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c LogLik_Poisson_Log.cpp -o LogLik_Poisson_Log.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c MCMC_Moments_NormalApprox.cpp -o MCMC_Moments_NormalApprox.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c MCMC_Moments_NormalApprox_QR.cpp -o MCMC_Moments_NormalApprox_QR.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c MCMC_loglik_Zwork1_stres.cpp -o MCMC_loglik_Zwork1_stres.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Misc_findIndexOfPermutation.cpp -o Misc_findIndexOfPermutation.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Misc_generatePermutations.cpp -o Misc_generatePermutations.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_ChainsDerived.cpp -o NMix_ChainsDerived.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_Deviance.cpp -o NMix_Deviance.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_MCMC.cpp -o NMix_MCMC.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_NMixRelabel.cpp -o NMix_NMixRelabel.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_PED.cpp -o NMix_PED.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_PED_coreMulti.cpp -o NMix_PED_coreMulti.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_PED_coreUni.cpp -o NMix_PED_coreUni.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_PosterMeanMixParam.cpp -o NMix_PosterMeanMixParam.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_Pr_y_and_cum_Pr_y.cpp -o NMix_Pr_y_and_cum_Pr_y.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_PredCDFMarg.cpp -o NMix_PredCDFMarg.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_PredCondDensCDFMarg.cpp -o NMix_PredCondDensCDFMarg.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_PredCondDensJoint2.cpp -o NMix_PredCondDensJoint2.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_PredDA.cpp -o NMix_PredDA.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_PredDensJoint2.cpp -o NMix_PredDensJoint2.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_PredDensMarg.cpp -o NMix_PredDensMarg.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_RJMCMC_aux_vector_u.cpp -o NMix_RJMCMC_aux_vector_u.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_RJMCMC_logJacLambdaVSigma.cpp -o NMix_RJMCMC_logJacLambdaVSigma.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_RJMCMC_logJac_part3.cpp -o NMix_RJMCMC_logJac_part3.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_RJMCMCbirth.cpp -o NMix_RJMCMCbirth.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_RJMCMCcombine.cpp -o NMix_RJMCMCcombine.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_RJMCMCdeath.cpp -o NMix_RJMCMCdeath.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_RJMCMCsplit.cpp -o NMix_RJMCMCsplit.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_Stephens_costMatrix.cpp -o NMix_Stephens_costMatrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_Stephens_step1.cpp -o NMix_Stephens_step1.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_Stephens_step2_search.cpp -o NMix_Stephens_step2_search.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_Stephens_step2_transport.cpp -o NMix_Stephens_step2_transport.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_Utils.cpp -o NMix_Utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_fullCondMean_WeightsMeansVars.cpp -o NMix_fullCondMean_WeightsMeansVars.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_orderComp.cpp -o NMix_orderComp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_reorder_Pr_y.cpp -o NMix_reorder_Pr_y.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_sum_Ir.cpp -o NMix_sum_Ir.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_updateAlloc.cpp -o NMix_updateAlloc.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_updateCensObs.cpp -o NMix_updateCensObs.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_updateHyperVars.cpp -o NMix_updateHyperVars.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_updateMeansVars.cpp -o NMix_updateMeansVars.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_updateWeights.cpp -o NMix_updateWeights.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c NMix_update_sum_Ir_and_sum_Pr_y.cpp -o NMix_update_sum_Ir_and_sum_Pr_y.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Rand_RotationMatrix.cpp -o Rand_RotationMatrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Rand_SamplePair.cpp -o Rand_SamplePair.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Stat_BLA.cpp -o Stat_BLA.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Stat_Quantile.cpp -o Stat_Quantile.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mixAK.so 00mixAK_init.o AK_BLAS.o AK_BSTAT.o AK_LAPACK.o AK_Utils.o Dist_Dirichlet.o Dist_Discrete.o Dist_MVN.o Dist_MVT.o Dist_TMVN.o Dist_TNorm.o Dist_TmixMVN.o Dist_TmixNorm.o Dist_Wishart.o Dist_mixMVN.o Dist_mixNorm.o GLMM_Deviance.o GLMM_Deviance2.o GLMM_Deviance2Pr_obs.o GLMM_MCMC.o GLMM_NMixRelabel.o GLMM_PED.o GLMM_copy_shift_eta_meanY_Zresp.o GLMM_create_SZitZiS.o GLMM_create_SZitZiS_4longitDA.o GLMM_create_XtX.o GLMM_create_ZS.o GLMM_create_ZiS.o GLMM_dY_meanY.o GLMM_eta_fixed_random2eta_meanY.o GLMM_fitted_Bernoulli_Logit.o GLMM_fitted_Poisson_Log.o GLMM_linear_predictors.o GLMM_longitDA.o GLMM_longitDA2.o GLMM_longitPred_nmix_gauss.o GLMM_newData.o GLMM_scale_ZitZi.o GLMM_updateFixEf.o GLMM_updateHyperVars_eps.o GLMM_updateRanEf.o GLMM_updateRanEf_QR.o GLMM_updateVars_eps.o LogLik_Bernoulli_Logit.o LogLik_Gauss_Identity.o LogLik_Poisson_Log.o MCMC_Moments_NormalApprox.o MCMC_Moments_NormalApprox_QR.o MCMC_loglik_Zwork1_stres.o Misc_findIndexOfPermutation.o Misc_generatePermutations.o NMix_ChainsDerived.o NMix_Deviance.o NMix_MCMC.o NMix_NMixRelabel.o NMix_PED.o NMix_PED_coreMulti.o NMix_PED_coreUni.o NMix_PosterMeanMixParam.o NMix_Pr_y_and_cum_Pr_y.o NMix_PredCDFMarg.o NMix_PredCondDensCDFMarg.o NMix_PredCondDensJoint2.o NMix_PredDA.o NMix_PredDensJoint2.o NMix_PredDensMarg.o NMix_RJMCMC_aux_vector_u.o NMix_RJMCMC_logJacLambdaVSigma.o NMix_RJMCMC_logJac_part3.o NMix_RJMCMCbirth.o NMix_RJMCMCcombine.o NMix_RJMCMCdeath.o NMix_RJMCMCsplit.o NMix_Stephens_costMatrix.o NMix_Stephens_step1.o NMix_Stephens_step2_search.o NMix_Stephens_step2_transport.o NMix_Utils.o NMix_fullCondMean_WeightsMeansVars.o NMix_orderComp.o NMix_reorder_Pr_y.o NMix_sum_Ir.o NMix_updateAlloc.o NMix_updateCensObs.o NMix_updateHyperVars.o NMix_updateMeansVars.o NMix_updateWeights.o NMix_update_sum_Ir_and_sum_Pr_y.o Rand_RotationMatrix.o Rand_SamplePair.o Stat_BLA.o Stat_Quantile.o -L/home/th798/R/R-release/lib -lRlapack -L/home/th798/R/R-release/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/16170037/R-release/722/library/00LOCK-mixAK/00new/mixAK/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading Warning message: In check_dep_version() : ABI version mismatch: lme4 was built with Matrix ABI version 1 Current Matrix ABI version is 2 Please re-install lme4 from source or restore original 'Matrix' package ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location Warning in check_dep_version() : ABI version mismatch: lme4 was built with Matrix ABI version 1 Current Matrix ABI version is 2 Please re-install lme4 from source or restore original 'Matrix' package ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location Warning in check_dep_version() : ABI version mismatch: lme4 was built with Matrix ABI version 1 Current Matrix ABI version is 2 Please re-install lme4 from source or restore original 'Matrix' package ** testing if installed package keeps a record of temporary installation path * DONE (mixAK) * installing *source* package 'kml' ... ** package 'kml' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kml.c -o kml.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c kml_init.c -o kml_init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o kml.so kml.o kml_init.o installing to /tmp/th798/16170037/R-release/722/library/00LOCK-kml/00new/kml/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading #################################################################### ######################### Class ClustLongData ###################### ############################## Creation ############################ #################################################################### ### Definition ### ### Getteur ### ### Setteur ### #################################################################### ######################### Class ClustLongData ###################### ############################### Autres ############################# #################################################################### -------------------------------------------------------------------- ------------------------- Class ClustLongData ---------------------- --------------------------------- Fin ------------------------------ -------------------------------------------------------------------- ### Method : 'show' for ParKml ### #################################################################### ########################## Class parChoice ######################### ############################# Creation ############################# #################################################################### ### Constructor ### ### Show ### ### Getteur ### ### Setteur ### -------------------------------------------------------------------- ------------------------ Fin Test ParChoice ------------------------ -------------------------------------------------------------------- #################################################################### ################################ kml ############################### ############################# Creation ############################# #################################################################### ### Method: 'choice' pour clusterizLongData ### ------------------------------------------------------------------- ------------------------------- kml ------------------------------- ------------------------------- Fin ------------------------------- ------------------------------------------------------------------- ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (kml) * installing *source* package 'qqplotr' ... ** package 'qqplotr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (qqplotr) The downloaded source packages are in '/tmp/th798/16170037/RtmpGUm7uS/downloaded_packages' > cat("Time to install revdep:\n") Time to install revdep: > print(install.time) user system elapsed 438.640 38.129 504.064 > print(Sys.time()) [1] "2025-03-28 01:29:10 MST" > downloaded_packages <- file.path( + tempdir(), + "downloaded_packages") > dl.glob <- file.path( + downloaded_packages, + paste0(rev.dep,"_*.tar.gz")) > rev.dep.dl.row <- cbind(rev.dep, Sys.glob(dl.glob)) > colnames(rev.dep.dl.row) <- c("pkg","path") > rev.dep.release.tar.gz <- normalizePath(rev.dep.dl.row[,"path"], mustWork=TRUE) > pkg.Rcheck <- paste0(rev.dep, ".Rcheck") > > proj.dir <- "~/genomic-ml/data.table-revdeps" > source(file.path(proj.dir, "myStatus.R")) > Rvers <- gsub("[()]", "", gsub(" ", "_", R.version[["version.string"]])) > dir.create(Rvers, showWarnings=FALSE) > Rcheck.list <- list() > for(dt.version.short in c("release", "master")){ + dt.tar.gz <- cargs[[dt.version.short]] + dt.version <- gsub(".tar.gz|/.*?_", "", dt.tar.gz) + print(Sys.time()) + install.packages(dt.tar.gz, repos=NULL) + print(Sys.time()) + check.cmd <- get_check_cmd(rev.dep.release.tar.gz) + system(check.cmd) + print(Sys.time()) + dest.Rcheck <- file.path( + Rvers, + paste0(dt.version, ".Rcheck")) + unlink(dest.Rcheck, recursive=TRUE) + file.rename(pkg.Rcheck, dest.Rcheck) + Rcheck.list[[dt.version]] <- file.path(dest.Rcheck, "00check.log") + } [1] "2025-03-28 01:29:10 MST" Installing package into '/tmp/th798/16170037/R-release/722/library' (as 'lib' is unspecified) * installing *source* package 'data.table' ... ** package 'data.table' successfully unpacked and MD5 sums checked ** using staged installation zlib 1.2.13 is available ok * checking if R installation supports OpenMP without any extra hints... yes ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c assign.c -o assign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c between.c -o between.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bmerge.c -o bmerge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chmatch.c -o chmatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cj.c -o cj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coalesce.c -o coalesce.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dogroups.c -o dogroups.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastmean.c -o fastmean.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fcast.c -o fcast.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fifelse.c -o fifelse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmelt.c -o fmelt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c forder.c -o forder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frank.c -o frank.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fread.c -o fread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c freadR.c -o freadR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c froll.c -o froll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollR.c -o frollR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frolladaptive.c -o frolladaptive.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fsort.c -o fsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwrite.c -o fwrite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwriteR.c -o fwriteR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gsumm.c -o gsumm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idatetime.c -o idatetime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ijoin.c -o ijoin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inrange.c -o inrange.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nafill.c -o nafill.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c negate.c -o negate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nqrecreateindices.c -o nqrecreateindices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c openmp-utils.c -o openmp-utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c programming.c -o programming.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quickselect.c -o quickselect.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbindlist.c -o rbindlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reorder.c -o reorder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shift.c -o shift.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snprintf.c -o snprintf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subset.c -o subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose.c -o transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c types.c -o types.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uniqlist.c -o uniqlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vecseq.c -o vecseq.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrappers.c -o wrappers.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o fsort.o fwrite.o fwriteR.o gsumm.o idatetime.o ijoin.o init.o inrange.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz PKG_CFLAGS = -fopenmp -I/home/th798/.conda/envs/emacs1/include PKG_LIBS = -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi installing to /tmp/th798/16170037/R-release/722/library/00LOCK-data.table/00new/data.table/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (data.table) [1] "2025-03-28 01:29:42 MST" * using log directory '/tmp/th798/16170037/R-release/722/latrend.Rcheck' * using R version 4.4.3 (2025-02-28) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (Spack GCC) 12.2.0 GNU Fortran (Spack GCC) 12.2.0 * running under: Red Hat Enterprise Linux 8.10 (Ootpa) * using session charset: ASCII * checking for file 'latrend/DESCRIPTION' ... OK * checking extension type ... Package * this is package 'latrend' version '1.6.1' * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for executable files ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package 'latrend' can be installed ... OK * checking installed package size ... OK * checking package directory ... OK * checking 'build' directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking loading without being on the library search path ... OK * checking whether startup messages can be suppressed ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking contents of 'data' directory ... OK * checking data for non-ASCII characters ... OK * checking LazyData ... OK * checking data for ASCII and uncompressed saves ... OK * checking installed files from 'inst/doc' ... OK * checking files in 'vignettes' ... OK * checking examples ...sh: line 1: 4040175 Segmentation fault (core dumped) LANGUAGE=en _R_CHECK_INTERNALS2_=1 '/home/th798/R/R-release/bin/R' --vanilla > 'latrend-Ex.Rout' 2>&1 < 'latrend-Ex.R' ERROR Running examples in 'latrend-Ex.R' failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: lcMethodGCKM > ### Title: Two-step clustering through latent growth curve modeling and > ### k-means > ### Aliases: lcMethodGCKM > > ### ** Examples > > data(latrendData) > > if (require("lme4")) { + method <- lcMethodGCKM(Y ~ (Time | Id), id = "Id", time = "Time", nClusters = 3) + model <- latrend(method, latrendData) + } Loading required package: lme4 Loading required package: Matrix --------------------------------------------------------------------------- - Longitudinal clustering using: two-step using LME and k-means --------------------------------------------------------------------------- Method arguments: time: "Time" id: "Id" nClusters: 3 center: meanNA standardize: scale REML: TRUE control: lmerControl() start: NULL contrasts: NULL devFunOnly: FALSE iter.max: 10 nstart: 1 algorithm: c("Hartigan-Wong", "Lloyd", "Forgy", "Ma method: "qr" model: TRUE y: FALSE qr: TRUE singular.ok: TRUE formula: Y ~ (Time | Id) --------------------------------------------------------------------------- Checking and transforming the training data format. Preparing the training data for fitting... Representation step... *** caught segfault *** address (nil), cause 'unknown' Traceback: 1: .Call(merPredDCreate, as(X, "matrix"), Lambdat, LamtUt, Lind, RZX, Ut, Utr, V, VtV, Vtr, Xwts, Zt, beta0, delb, delu, theta, u0) 2: initializePtr() 3: .Object$initialize(...) 4: initialize(value, ...) 5: initialize(value, ...) 6: methods::new(def, ...) 7: (new("refMethodDef", .Data = function (...) { methods::new(def, ...)}, mayCall = c("methods", "new"), name = "new", refClassName = "refGeneratorSlot", superClassMethod = ""))(Zt = new("dgCMatrix", i = c(0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 2L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 4L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 6L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 8L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 10L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 12L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 14L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 16L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 18L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 20L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 22L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 24L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 26L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 28L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 30L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 32L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 34L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 36L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 38L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 40L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 42L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 44L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 46L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 48L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 50L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 52L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 54L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 56L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 58L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 60L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 62L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 64L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 66L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 68L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 70L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 72L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 74L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 76L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 78L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 80L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 82L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 84L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 86L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 88L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 90L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 92L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 94L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 96L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 98L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 100L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 102L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 104L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 106L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 108L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 110L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 112L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 114L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 116L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 118L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 120L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 122L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 124L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 126L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 128L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 130L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 132L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 134L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 136L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 138L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 140L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 142L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 144L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 146L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 148L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 150L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 152L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 154L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 156L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 158L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 160L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 162L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 164L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 166L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 168L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 170L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 172L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 174L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 176L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 178L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 180L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 182L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 184L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 186L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 188L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 190L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 192L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 194L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 196L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 198L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 200L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 202L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 204L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 206L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 208L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 210L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 212L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 214L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 216L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 218L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 220L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 222L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 224L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 226L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 228L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 230L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 232L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 234L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 236L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 238L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 240L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 242L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 244L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 246L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 248L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 250L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 252L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 254L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 256L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 258L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 260L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 262L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 264L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 266L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 268L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 270L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 272L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 274L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 276L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 278L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 280L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 282L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 284L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 286L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 288L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 290L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 292L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 294L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 296L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 298L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 300L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 302L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 304L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 306L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 308L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 310L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 312L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 314L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 316L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 318L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 320L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 322L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 324L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 326L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 328L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 330L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 332L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 334L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 336L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 338L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 340L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 342L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 344L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 346L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 348L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 350L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 352L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 354L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 356L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 358L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 360L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 362L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 364L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 366L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 368L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 370L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 372L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 374L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 376L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 378L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 380L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 382L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 384L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 386L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 388L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 390L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 392L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 394L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 396L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 398L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L), p = c(0L, 1L, 3L, 5L, 7L, 9L, 11L, 13L, 15L, 17L, 19L, 20L, 22L, 24L, 26L, 28L, 30L, 32L, 34L, 36L, 38L, 39L, 41L, 43L, 45L, 47L, 49L, 51L, 53L, 55L, 57L, 58L, 60L, 62L, 64L, 66L, 68L, 70L, 72L, 74L, 76L, 77L, 79L, 81L, 83L, 85L, 87L, 89L, 91L, 93L, 95L, 96L, 98L, 100L, 102L, 104L, 106L, 108L, 110L, 112L, 114L, 115L, 117L, 119L, 121L, 123L, 125L, 127L, 129L, 131L, 133L, 134L, 136L, 138L, 140L, 142L, 144L, 146L, 148L, 150L, 152L, 153L, 155L, 157L, 159L, 161L, 163L, 165L, 167L, 169L, 171L, 172L, 174L, 176L, 178L, 180L, 182L, 184L, 186L, 188L, 190L, 191L, 193L, 195L, 197L, 199L, 201L, 203L, 205L, 207L, 209L, 210L, 212L, 214L, 216L, 218L, 220L, 222L, 224L, 226L, 228L, 229L, 231L, 233L, 235L, 237L, 239L, 241L, 243L, 245L, 247L, 248L, 250L, 252L, 254L, 256L, 258L, 260L, 262L, 264L, 266L, 267L, 269L, 271L, 273L, 275L, 277L, 279L, 281L, 283L, 285L, 286L, 288L, 290L, 292L, 294L, 296L, 298L, 300L, 302L, 304L, 305L, 307L, 309L, 311L, 313L, 315L, 317L, 319L, 321L, 323L, 324L, 326L, 328L, 330L, 332L, 334L, 336L, 338L, 340L, 342L, 343L, 345L, 347L, 349L, 351L, 353L, 355L, 357L, 359L, 361L, 362L, 364L, 366L, 368L, 370L, 372L, 374L, 376L, 378L, 380L, 381L, 383L, 385L, 387L, 389L, 391L, 393L, 395L, 397L, 399L, 400L, 402L, 404L, 406L, 408L, 410L, 412L, 414L, 416L, 418L, 419L, 421L, 423L, 425L, 427L, 429L, 431L, 433L, 435L, 437L, 438L, 440L, 442L, 444L, 446L, 448L, 450L, 452L, 454L, 456L, 457L, 459L, 461L, 463L, 465L, 467L, 469L, 471L, 473L, 475L, 476L, 478L, 480L, 482L, 484L, 486L, 488L, 490L, 492L, 494L, 495L, 497L, 499L, 501L, 503L, 505L, 507L, 509L, 511L, 513L, 514L, 516L, 518L, 520L, 522L, 524L, 526L, 528L, 530L, 532L, 533L, 535L, 537L, 539L, 541L, 543L, 545L, 547L, 549L, 551L, 552L, 554L, 556L, 558L, 560L, 562L, 564L, 566L, 568L, 570L, 571L, 573L, 575L, 577L, 579L, 581L, 583L, 585L, 587L, 589L, 590L, 592L, 594L, 596L, 598L, 600L, 602L, 604L, 606L, 608L, 609L, 611L, 613L, 615L, 617L, 619L, 621L, 623L, 625L, 627L, 628L, 630L, 632L, 634L, 636L, 638L, 640L, 642L, 644L, 646L, 647L, 649L, 651L, 653L, 655L, 657L, 659L, 661L, 663L, 665L, 666L, 668L, 670L, 672L, 674L, 676L, 678L, 680L, 682L, 684L, 685L, 687L, 689L, 691L, 693L, 695L, 697L, 699L, 701L, 703L, 704L, 706L, 708L, 710L, 712L, 714L, 716L, 718L, 720L, 722L, 723L, 725L, 727L, 729L, 731L, 733L, 735L, 737L, 739L, 741L, 742L, 744L, 746L, 748L, 750L, 752L, 754L, 756L, 758L, 760L, 761L, 763L, 765L, 767L, 769L, 771L, 773L, 775L, 777L, 779L, 780L, 782L, 784L, 786L, 788L, 790L, 792L, 794L, 796L, 798L, 799L, 801L, 803L, 805L, 807L, 809L, 811L, 813L, 815L, 817L, 818L, 820L, 822L, 824L, 826L, 828L, 830L, 832L, 834L, 836L, 837L, 839L, 841L, 843L, 845L, 847L, 849L, 851L, 853L, 855L, 856L, 858L, 860L, 862L, 864L, 866L, 868L, 870L, 872L, 874L, 875L, 877L, 879L, 881L, 883L, 885L, 887L, 889L, 891L, 893L, 894L, 896L, 898L, 900L, 902L, 904L, 906L, 908L, 910L, 912L, 913L, 915L, 917L, 919L, 921L, 923L, 925L, 927L, 929L, 931L, 932L, 934L, 936L, 938L, 940L, 942L, 944L, 946L, 948L, 950L, 951L, 953L, 955L, 957L, 959L, 961L, 963L, 965L, 967L, 969L, 970L, 972L, 974L, 976L, 978L, 980L, 982L, 984L, 986L, 988L, 989L, 991L, 993L, 995L, 997L, 999L, 1001L, 1003L, 1005L, 1007L, 1008L, 1010L, 1012L, 1014L, 1016L, 1018L, 1020L, 1022L, 1024L, 1026L, 1027L, 1029L, 1031L, 1033L, 1035L, 1037L, 1039L, 1041L, 1043L, 1045L, 1046L, 1048L, 1050L, 1052L, 1054L, 1056L, 1058L, 1060L, 1062L, 1064L, 1065L, 1067L, 1069L, 1071L, 1073L, 1075L, 1077L, 1079L, 1081L, 1083L, 1084L, 1086L, 1088L, 1090L, 1092L, 1094L, 1096L, 1098L, 1100L, 1102L, 1103L, 1105L, 1107L, 1109L, 1111L, 1113L, 1115L, 1117L, 1119L, 1121L, 1122L, 1124L, 1126L, 1128L, 1130L, 1132L, 1134L, 1136L, 1138L, 1140L, 1141L, 1143L, 1145L, 1147L, 1149L, 1151L, 1153L, 1155L, 1157L, 1159L, 1160L, 1162L, 1164L, 1166L, 1168L, 1170L, 1172L, 1174L, 1176L, 1178L, 1179L, 1181L, 1183L, 1185L, 1187L, 1189L, 1191L, 1193L, 1195L, 1197L, 1198L, 1200L, 1202L, 1204L, 1206L, 1208L, 1210L, 1212L, 1214L, 1216L, 1217L, 1219L, 1221L, 1223L, 1225L, 1227L, 1229L, 1231L, 1233L, 1235L, 1236L, 1238L, 1240L, 1242L, 1244L, 1246L, 1248L, 1250L, 1252L, 1254L, 1255L, 1257L, 1259L, 1261L, 1263L, 1265L, 1267L, 1269L, 1271L, 1273L, 1274L, 1276L, 1278L, 1280L, 1282L, 1284L, 1286L, 1288L, 1290L, 1292L, 1293L, 1295L, 1297L, 1299L, 1301L, 1303L, 1305L, 1307L, 1309L, 1311L, 1312L, 1314L, 1316L, 1318L, 1320L, 1322L, 1324L, 1326L, 1328L, 1330L, 1331L, 1333L, 1335L, 1337L, 1339L, 1341L, 1343L, 1345L, 1347L, 1349L, 1350L, 1352L, 1354L, 1356L, 1358L, 1360L, 1362L, 1364L, 1366L, 1368L, 1369L, 1371L, 1373L, 1375L, 1377L, 1379L, 1381L, 1383L, 1385L, 1387L, 1388L, 1390L, 1392L, 1394L, 1396L, 1398L, 1400L, 1402L, 1404L, 1406L, 1407L, 1409L, 1411L, 1413L, 1415L, 1417L, 1419L, 1421L, 1423L, 1425L, 1426L, 1428L, 1430L, 1432L, 1434L, 1436L, 1438L, 1440L, 1442L, 1444L, 1445L, 1447L, 1449L, 1451L, 1453L, 1455L, 1457L, 1459L, 1461L, 1463L, 1464L, 1466L, 1468L, 1470L, 1472L, 1474L, 1476L, 1478L, 1480L, 1482L, 1483L, 1485L, 1487L, 1489L, 1491L, 1493L, 1495L, 1497L, 1499L, 1501L, 1502L, 1504L, 1506L, 1508L, 1510L, 1512L, 1514L, 1516L, 1518L, 1520L, 1521L, 1523L, 1525L, 1527L, 1529L, 1531L, 1533L, 1535L, 1537L, 1539L, 1540L, 1542L, 1544L, 1546L, 1548L, 1550L, 1552L, 1554L, 1556L, 1558L, 1559L, 1561L, 1563L, 1565L, 1567L, 1569L, 1571L, 1573L, 1575L, 1577L, 1578L, 1580L, 1582L, 1584L, 1586L, 1588L, 1590L, 1592L, 1594L, 1596L, 1597L, 1599L, 1601L, 1603L, 1605L, 1607L, 1609L, 1611L, 1613L, 1615L, 1616L, 1618L, 1620L, 1622L, 1624L, 1626L, 1628L, 1630L, 1632L, 1634L, 1635L, 1637L, 1639L, 1641L, 1643L, 1645L, 1647L, 1649L, 1651L, 1653L, 1654L, 1656L, 1658L, 1660L, 1662L, 1664L, 1666L, 1668L, 1670L, 1672L, 1673L, 1675L, 1677L, 1679L, 1681L, 1683L, 1685L, 1687L, 1689L, 1691L, 1692L, 1694L, 1696L, 1698L, 1700L, 1702L, 1704L, 1706L, 1708L, 1710L, 1711L, 1713L, 1715L, 1717L, 1719L, 1721L, 1723L, 1725L, 1727L, 1729L, 1730L, 1732L, 1734L, 1736L, 1738L, 1740L, 1742L, 1744L, 1746L, 1748L, 1749L, 1751L, 1753L, 1755L, 1757L, 1759L, 1761L, 1763L, 1765L, 1767L, 1768L, 1770L, 1772L, 1774L, 1776L, 1778L, 1780L, 1782L, 1784L, 1786L, 1787L, 1789L, 1791L, 1793L, 1795L, 1797L, 1799L, 1801L, 1803L, 1805L, 1806L, 1808L, 1810L, 1812L, 1814L, 1816L, 1818L, 1820L, 1822L, 1824L, 1825L, 1827L, 1829L, 1831L, 1833L, 1835L, 1837L, 1839L, 1841L, 1843L, 1844L, 1846L, 1848L, 1850L, 1852L, 1854L, 1856L, 1858L, 1860L, 1862L, 1863L, 1865L, 1867L, 1869L, 1871L, 1873L, 1875L, 1877L, 1879L, 1881L, 1882L, 1884L, 1886L, 1888L, 1890L, 1892L, 1894L, 1896L, 1898L, 1900L, 1901L, 1903L, 1905L, 1907L, 1909L, 1911L, 1913L, 1915L, 1917L, 1919L, 1920L, 1922L, 1924L, 1926L, 1928L, 1930L, 1932L, 1934L, 1936L, 1938L, 1939L, 1941L, 1943L, 1945L, 1947L, 1949L, 1951L, 1953L, 1955L, 1957L, 1958L, 1960L, 1962L, 1964L, 1966L, 1968L, 1970L, 1972L, 1974L, 1976L, 1977L, 1979L, 1981L, 1983L, 1985L, 1987L, 1989L, 1991L, 1993L, 1995L, 1996L, 1998L, 2000L, 2002L, 2004L, 2006L, 2008L, 2010L, 2012L, 2014L, 2015L, 2017L, 2019L, 2021L, 2023L, 2025L, 2027L, 2029L, 2031L, 2033L, 2034L, 2036L, 2038L, 2040L, 2042L, 2044L, 2046L, 2048L, 2050L, 2052L, 2053L, 2055L, 2057L, 2059L, 2061L, 2063L, 2065L, 2067L, 2069L, 2071L, 2072L, 2074L, 2076L, 2078L, 2080L, 2082L, 2084L, 2086L, 2088L, 2090L, 2091L, 2093L, 2095L, 2097L, 2099L, 2101L, 2103L, 2105L, 2107L, 2109L, 2110L, 2112L, 2114L, 2116L, 2118L, 2120L, 2122L, 2124L, 2126L, 2128L, 2129L, 2131L, 2133L, 2135L, 2137L, 2139L, 2141L, 2143L, 2145L, 2147L, 2148L, 2150L, 2152L, 2154L, 2156L, 2158L, 2160L, 2162L, 2164L, 2166L, 2167L, 2169L, 2171L, 2173L, 2175L, 2177L, 2179L, 2181L, 2183L, 2185L, 2186L, 2188L, 2190L, 2192L, 2194L, 2196L, 2198L, 2200L, 2202L, 2204L, 2205L, 2207L, 2209L, 2211L, 2213L, 2215L, 2217L, 2219L, 2221L, 2223L, 2224L, 2226L, 2228L, 2230L, 2232L, 2234L, 2236L, 2238L, 2240L, 2242L, 2243L, 2245L, 2247L, 2249L, 2251L, 2253L, 2255L, 2257L, 2259L, 2261L, 2262L, 2264L, 2266L, 2268L, 2270L, 2272L, 2274L, 2276L, 2278L, 2280L, 2281L, 2283L, 2285L, 2287L, 2289L, 2291L, 2293L, 2295L, 2297L, 2299L, 2300L, 2302L, 2304L, 2306L, 2308L, 2310L, 2312L, 2314L, 2316L, 2318L, 2319L, 2321L, 2323L, 2325L, 2327L, 2329L, 2331L, 2333L, 2335L, 2337L, 2338L, 2340L, 2342L, 2344L, 2346L, 2348L, 2350L, 2352L, 2354L, 2356L, 2357L, 2359L, 2361L, 2363L, 2365L, 2367L, 2369L, 2371L, 2373L, 2375L, 2376L, 2378L, 2380L, 2382L, 2384L, 2386L, 2388L, 2390L, 2392L, 2394L, 2395L, 2397L, 2399L, 2401L, 2403L, 2405L, 2407L, 2409L, 2411L, 2413L, 2414L, 2416L, 2418L, 2420L, 2422L, 2424L, 2426L, 2428L, 2430L, 2432L, 2433L, 2435L, 2437L, 2439L, 2441L, 2443L, 2445L, 2447L, 2449L, 2451L, 2452L, 2454L, 2456L, 2458L, 2460L, 2462L, 2464L, 2466L, 2468L, 2470L, 2471L, 2473L, 2475L, 2477L, 2479L, 2481L, 2483L, 2485L, 2487L, 2489L, 2490L, 2492L, 2494L, 2496L, 2498L, 2500L, 2502L, 2504L, 2506L, 2508L, 2509L, 2511L, 2513L, 2515L, 2517L, 2519L, 2521L, 2523L, 2525L, 2527L, 2528L, 2530L, 2532L, 2534L, 2536L, 2538L, 2540L, 2542L, 2544L, 2546L, 2547L, 2549L, 2551L, 2553L, 2555L, 2557L, 2559L, 2561L, 2563L, 2565L, 2566L, 2568L, 2570L, 2572L, 2574L, 2576L, 2578L, 2580L, 2582L, 2584L, 2585L, 2587L, 2589L, 2591L, 2593L, 2595L, 2597L, 2599L, 2601L, 2603L, 2604L, 2606L, 2608L, 2610L, 2612L, 2614L, 2616L, 2618L, 2620L, 2622L, 2623L, 2625L, 2627L, 2629L, 2631L, 2633L, 2635L, 2637L, 2639L, 2641L, 2642L, 2644L, 2646L, 2648L, 2650L, 2652L, 2654L, 2656L, 2658L, 2660L, 2661L, 2663L, 2665L, 2667L, 2669L, 2671L, 2673L, 2675L, 2677L, 2679L, 2680L, 2682L, 2684L, 2686L, 2688L, 2690L, 2692L, 2694L, 2696L, 2698L, 2699L, 2701L, 2703L, 2705L, 2707L, 2709L, 2711L, 2713L, 2715L, 2717L, 2718L, 2720L, 2722L, 2724L, 2726L, 2728L, 2730L, 2732L, 2734L, 2736L, 2737L, 2739L, 2741L, 2743L, 2745L, 2747L, 2749L, 2751L, 2753L, 2755L, 2756L, 2758L, 2760L, 2762L, 2764L, 2766L, 2768L, 2770L, 2772L, 2774L, 2775L, 2777L, 2779L, 2781L, 2783L, 2785L, 2787L, 2789L, 2791L, 2793L, 2794L, 2796L, 2798L, 2800L, 2802L, 2804L, 2806L, 2808L, 2810L, 2812L, 2813L, 2815L, 2817L, 2819L, 2821L, 2823L, 2825L, 2827L, 2829L, 2831L, 2832L, 2834L, 2836L, 2838L, 2840L, 2842L, 2844L, 2846L, 2848L, 2850L, 2851L, 2853L, 2855L, 2857L, 2859L, 2861L, 2863L, 2865L, 2867L, 2869L, 2870L, 2872L, 2874L, 2876L, 2878L, 2880L, 2882L, 2884L, 2886L, 2888L, 2889L, 2891L, 2893L, 2895L, 2897L, 2899L, 2901L, 2903L, 2905L, 2907L, 2908L, 2910L, 2912L, 2914L, 2916L, 2918L, 2920L, 2922L, 2924L, 2926L, 2927L, 2929L, 2931L, 2933L, 2935L, 2937L, 2939L, 2941L, 2943L, 2945L, 2946L, 2948L, 2950L, 2952L, 2954L, 2956L, 2958L, 2960L, 2962L, 2964L, 2965L, 2967L, 2969L, 2971L, 2973L, 2975L, 2977L, 2979L, 2981L, 2983L, 2984L, 2986L, 2988L, 2990L, 2992L, 2994L, 2996L, 2998L, 3000L, 3002L, 3003L, 3005L, 3007L, 3009L, 3011L, 3013L, 3015L, 3017L, 3019L, 3021L, 3022L, 3024L, 3026L, 3028L, 3030L, 3032L, 3034L, 3036L, 3038L, 3040L, 3041L, 3043L, 3045L, 3047L, 3049L, 3051L, 3053L, 3055L, 3057L, 3059L, 3060L, 3062L, 3064L, 3066L, 3068L, 3070L, 3072L, 3074L, 3076L, 3078L, 3079L, 3081L, 3083L, 3085L, 3087L, 3089L, 3091L, 3093L, 3095L, 3097L, 3098L, 3100L, 3102L, 3104L, 3106L, 3108L, 3110L, 3112L, 3114L, 3116L, 3117L, 3119L, 3121L, 3123L, 3125L, 3127L, 3129L, 3131L, 3133L, 3135L, 3136L, 3138L, 3140L, 3142L, 3144L, 3146L, 3148L, 3150L, 3152L, 3154L, 3155L, 3157L, 3159L, 3161L, 3163L, 3165L, 3167L, 3169L, 3171L, 3173L, 3174L, 3176L, 3178L, 3180L, 3182L, 3184L, 3186L, 3188L, 3190L, 3192L, 3193L, 3195L, 3197L, 3199L, 3201L, 3203L, 3205L, 3207L, 3209L, 3211L, 3212L, 3214L, 3216L, 3218L, 3220L, 3222L, 3224L, 3226L, 3228L, 3230L, 3231L, 3233L, 3235L, 3237L, 3239L, 3241L, 3243L, 3245L, 3247L, 3249L, 3250L, 3252L, 3254L, 3256L, 3258L, 3260L, 3262L, 3264L, 3266L, 3268L, 3269L, 3271L, 3273L, 3275L, 3277L, 3279L, 3281L, 3283L, 3285L, 3287L, 3288L, 3290L, 3292L, 3294L, 3296L, 3298L, 3300L, 3302L, 3304L, 3306L, 3307L, 3309L, 3311L, 3313L, 3315L, 3317L, 3319L, 3321L, 3323L, 3325L, 3326L, 3328L, 3330L, 3332L, 3334L, 3336L, 3338L, 3340L, 3342L, 3344L, 3345L, 3347L, 3349L, 3351L, 3353L, 3355L, 3357L, 3359L, 3361L, 3363L, 3364L, 3366L, 3368L, 3370L, 3372L, 3374L, 3376L, 3378L, 3380L, 3382L, 3383L, 3385L, 3387L, 3389L, 3391L, 3393L, 3395L, 3397L, 3399L, 3401L, 3402L, 3404L, 3406L, 3408L, 3410L, 3412L, 3414L, 3416L, 3418L, 3420L, 3421L, 3423L, 3425L, 3427L, 3429L, 3431L, 3433L, 3435L, 3437L, 3439L, 3440L, 3442L, 3444L, 3446L, 3448L, 3450L, 3452L, 3454L, 3456L, 3458L, 3459L, 3461L, 3463L, 3465L, 3467L, 3469L, 3471L, 3473L, 3475L, 3477L, 3478L, 3480L, 3482L, 3484L, 3486L, 3488L, 3490L, 3492L, 3494L, 3496L, 3497L, 3499L, 3501L, 3503L, 3505L, 3507L, 3509L, 3511L, 3513L, 3515L, 3516L, 3518L, 3520L, 3522L, 3524L, 3526L, 3528L, 3530L, 3532L, 3534L, 3535L, 3537L, 3539L, 3541L, 3543L, 3545L, 3547L, 3549L, 3551L, 3553L, 3554L, 3556L, 3558L, 3560L, 3562L, 3564L, 3566L, 3568L, 3570L, 3572L, 3573L, 3575L, 3577L, 3579L, 3581L, 3583L, 3585L, 3587L, 3589L, 3591L, 3592L, 3594L, 3596L, 3598L, 3600L, 3602L, 3604L, 3606L, 3608L, 3610L, 3611L, 3613L, 3615L, 3617L, 3619L, 3621L, 3623L, 3625L, 3627L, 3629L, 3630L, 3632L, 3634L, 3636L, 3638L, 3640L, 3642L, 3644L, 3646L, 3648L, 3649L, 3651L, 3653L, 3655L, 3657L, 3659L, 3661L, 3663L, 3665L, 3667L, 3668L, 3670L, 3672L, 3674L, 3676L, 3678L, 3680L, 3682L, 3684L, 3686L, 3687L, 3689L, 3691L, 3693L, 3695L, 3697L, 3699L, 3701L, 3703L, 3705L, 3706L, 3708L, 3710L, 3712L, 3714L, 3716L, 3718L, 3720L, 3722L, 3724L, 3725L, 3727L, 3729L, 3731L, 3733L, 3735L, 3737L, 3739L, 3741L, 3743L, 3744L, 3746L, 3748L, 3750L, 3752L, 3754L, 3756L, 3758L, 3760L, 3762L, 3763L, 3765L, 3767L, 3769L, 3771L, 3773L, 3775L, 3777L, 3779L, 3781L, 3782L, 3784L, 3786L, 3788L, 3790L, 3792L, 3794L, 3796L, 3798L, 3800L), Dim = c(400L, 2000L), Dimnames = list(c("1", "1", "2", "2", "3", "3", "4", "4", "5", "5", "6", "6", "7", "7", "8", "8", "9", "9", "10", "10", "11", "11", "12", "12", "13", "13", "14", "14", "15", "15", "16", "16", "17", "17", "18", "18", "19", "19", "20", "20", "21", "21", "22", "22", "23", "23", "24", "24", "25", "25", "26", "26", "27", "27", "28", "28", "29", "29", "30", "30", "31", "31", "32", "32", "33", "33", "34", "34", "35", "35", "36", "36", "37", "37", "38", "38", "39", "39", "40", "40", "41", "41", "42", "42", "43", "43", "44", "44", "45", "45", "46", "46", "47", "47", "48", "48", "49", "49", "50", "50", "51", "51", "52", "52", "53", "53", "54", "54", "55", "55", "56", "56", "57", "57", "58", "58", "59", "59", "60", "60", "61", "61", "62", "62", "63", "63", "64", "64", "65", "65", "66", "66", "67", "67", "68", "68", "69", "69", "70", "70", "71", "71", "72", "72", "73", "73", "74", "74", "75", "75", "76", "76", "77", "77", "78", "78", "79", "79", "80", "80", "81", "81", "82", "82", "83", "83", "84", "84", "85", "85", "86", "86", "87", "87", "88", "88", "89", "89", "90", "90", "91", "91", "92", "92", "93", "93", "94", "94", "95", "95", "96", "96", "97", "97", "98", "98", "99", "99", "100", "100", "101", "101", "102", "102", "103", "103", "104", "104", "105", "105", "106", "106", "107", "107", "108", "108", "109", "109", "110", "110", "111", "111", "112", "112", "113", "113", "114", "114", "115", "115", "116", "116", "117", "117", "118", "118", "119", "119", "120", "120", "121", "121", "122", "122", "123", "123", "124", "124", "125", "125", "126", "126", "127", "127", "128", "128", "129", "129", "130", "130", "131", "131", "132", "132", "133", "133", "134", "134", "135", "135", "136", "136", "137", "137", "138", "138", "139", "139", "140", "140", "141", "141", "142", "142", "143", "143", "144", "144", "145", "145", "146", "146", "147", "147", "148", "148", "149", "149", "150", "150", "151", "151", "152", "152", "153", "153", "154", "154", "155", "155", "156", "156", "157", "157", "158", "158", "159", "159", "160", "160", "161", "161", "162", "162", "163", "163", "164", "164", "165", "165", "166", "166", "167", "167", "168", "168", "169", "169", "170", "170", "171", "171", "172", "172", "173", "173", "174", "174", "175", "175", "176", "176", "177", "177", "178", "178", "179", "179", "180", "180", "181", "181", "182", "182", "183", "183", "184", "184", "185", "185", "186", "186", "187", "187", "188", "188", "189", "189", "190", "190", "191", "191", "192", "192", "193", "193", "194", "194", "195", "195", "196", "196", "197", "197", "198", "198", "199", "199", "200", "200"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180", "181", "182", "183", "184", "185", "186", "187", "188", "189", "190", "191", "192", "193", "194", "195", "196", "197", "198", "199", "200", "201", "202", "203", "204", "205", "206", "207", "208", "209", "210", "211", "212", "213", "214", "215", "216", "217", "218", "219", "220", "221", "222", "223", "224", "225", "226", "227", "228", "229", "230", "231", "232", "233", "234", "235", "236", "237", "238", "239", "240", "241", "242", "243", "244", "245", "246", "247", "248", "249", "250", "251", "252", "253", "254", "255", "256", "257", "258", "259", "260", "261", "262", "263", "264", "265", "266", "267", "268", "269", "270", "271", "272", "273", "274", "275", "276", "277", "278", "279", "280", "281", "282", "283", "284", "285", "286", "287", "288", "289", "290", "291", "292", "293", "294", "295", "296", "297", "298", "299", "300", "301", "302", "303", "304", "305", "306", "307", "308", "309", "310", "311", "312", "313", "314", "315", "316", "317", "318", "319", "320", "321", "322", "323", "324", "325", "326", "327", "328", "329", "330", "331", "332", "333", "334", "335", "336", "337", "338", "339", "340", "341", "342", "343", "344", "345", "346", "347", "348", "349", "350", "351", "352", "353", "354", "355", "356", "357", "358", "359", "360", "361", "362", "363", "364", "365", "366", "367", "368", "369", "370", "371", "372", "373", "374", "375", "376", "377", "378", "379", "380", "381", "382", "383", "384", "385", "386", "387", "388", "389", "390", "391", "392", "393", "394", "395", "396", "397", "398", "399", "400", "401", "402", "403", "404", "405", "406", "407", "408", "409", "410", "411", "412", "413", "414", "415", "416", "417", "418", "419", "420", "421", "422", "423", "424", "425", "426", "427", "428", "429", "430", "431", "432", "433", "434", "435", "436", "437", "438", "439", "440", "441", "442", "443", "444", "445", "446", "447", "448", "449", "450", "451", "452", "453", "454", "455", "456", "457", "458", "459", "460", "461", "462", "463", "464", "465", "466", "467", "468", "469", "470", "471", "472", "473", "474", "475", "476", "477", "478", "479", "480", "481", "482", "483", "484", "485", "486", "487", "488", "489", "490", "491", "492", "493", "494", "495", "496", "497", "498", "499", "500", "501", "502", "503", "504", "505", "506", "507", "508", "509", "510", "511", "512", "513", "514", "515", "516", "517", "518", "519", "520", "521", "522", "523", "524", "525", "526", "527", "528", "529", "530", "531", "532", "533", "534", "535", "536", "537", "538", "539", "540", "541", "542", "543", "544", "545", "546", "547", "548", "549", "550", "551", "552", "553", "554", "555", "556", "557", "558", "559", "560", "561", "562", "563", "564", "565", "566", "567", "568", "569", "570", "571", "572", "573", "574", "575", "576", "577", "578", "579", "580", "581", "582", "583", "584", "585", "586", "587", "588", "589", "590", "591", "592", "593", "594", "595", "596", "597", "598", "599", "600", "601", "602", "603", "604", "605", "606", "607", "608", "609", "610", "611", "612", "613", "614", "615", "616", "617", "618", "619", "620", "621", "622", "623", "624", "625", "626", "627", "628", "629", "630", "631", "632", "633", "634", "635", "636", "637", "638", "639", "640", "641", "642", "643", "644", "645", "646", "647", "648", "649", "650", "651", "652", "653", "654", "655", "656", "657", "658", "659", "660", "661", "662", "663", "664", "665", "666", "667", "668", "669", "670", "671", "672", "673", "674", "675", "676", "677", "678", "679", "680", "681", "682", "683", "684", "685", "686", "687", "688", "689", "690", "691", "692", "693", "694", "695", "696", "697", "698", "699", "700", "701", "702", "703", "704", "705", "706", "707", "708", "709", "710", "711", "712", "713", "714", "715", "716", "717", "718", "719", "720", "721", "722", "723", "724", "725", "726", "727", "728", "729", "730", "731", "732", "733", "734", "735", "736", "737", "738", "739", "740", "741", "742", "743", "744", "745", "746", "747", "748", "749", "750", "751", "752", "753", "754", "755", "756", "757", "758", "759", "760", "761", "762", "763", "764", "765", "766", "767", "768", "769", "770", "771", "772", "773", "774", "775", "776", "777", "778", "779", "780", "781", "782", "783", "784", "785", "786", "787", "788", "789", "790", "791", "792", "793", "794", "795", "796", "797", "798", "799", "800", "801", "802", "803", "804", "805", "806", "807", "808", "809", "810", "811", "812", "813", "814", "815", "816", "817", "818", "819", "820", "821", "822", "823", "824", "825", "826", "827", "828", "829", "830", "831", "832", "833", "834", "835", "836", "837", "838", "839", "840", "841", "842", "843", "844", "845", "846", "847", "848", "849", "850", "851", "852", "853", "854", "855", "856", "857", "858", "859", "860", "861", "862", "863", "864", "865", "866", "867", "868", "869", "870", "871", "872", "873", "874", "875", "876", "877", "878", "879", "880", "881", "882", "883", "884", "885", "886", "887", "888", "889", "890", "891", "892", "893", "894", "895", "896", "897", "898", "899", "900", "901", "902", "903", "904", "905", "906", "907", "908", "909", "910", "911", "912", "913", "914", "915", "916", "917", "918", "919", "920", "921", "922", "923", "924", "925", "926", "927", "928", "929", "930", "931", "932", "933", "934", "935", "936", "937", "938", "939", "940", "941", "942", "943", "944", "945", "946", "947", "948", "949", "950", "951", "952", "953", "954", "955", "956", "957", "958", "959", "960", "961", "962", "963", "964", "965", "966", "967", "968", "969", "970", "971", "972", "973", "974", "975", "976", "977", "978", "979", "980", "981", "982", "983", "984", "985", "986", "987", "988", "989", "990", "991", "992", "993", "994", "995", "996", "997", "998", "999", "1000", "1001", "1002", "1003", "1004", "1005", "1006", "1007", "1008", "1009", "1010", "1011", "1012", "1013", "1014", "1015", "1016", "1017", "1018", "1019", "1020", "1021", "1022", "1023", "1024", "1025", "1026", "1027", "1028", "1029", "1030", "1031", "1032", "1033", "1034", "1035", "1036", "1037", "1038", "1039", "1040", "1041", "1042", "1043", "1044", "1045", "1046", "1047", "1048", "1049", "1050", "1051", "1052", "1053", "1054", "1055", "1056", "1057", "1058", "1059", "1060", "1061", "1062", "1063", "1064", "1065", "1066", "1067", "1068", "1069", "1070", "1071", "1072", "1073", "1074", "1075", "1076", "1077", "1078", "1079", "1080", "1081", "1082", "1083", "1084", "1085", "1086", "1087", "1088", "1089", "1090", "1091", "1092", "1093", "1094", "1095", "1096", "1097", "1098", "1099", "1100", "1101", "1102", "1103", "1104", "1105", "1106", "1107", "1108", "1109", "1110", "1111", "1112", "1113", "1114", "1115", "1116", "1117", "1118", "1119", "1120", "1121", "1122", "1123", "1124", "1125", "1126", "1127", "1128", "1129", "1130", "1131", "1132", "1133", "1134", "1135", "1136", "1137", "1138", "1139", "1140", "1141", "1142", "1143", "1144", "1145", "1146", "1147", "1148", "1149", "1150", "1151", "1152", "1153", "1154", "1155", "1156", "1157", "1158", "1159", "1160", "1161", "1162", "1163", "1164", "1165", "1166", "1167", "1168", "1169", "1170", "1171", "1172", "1173", "1174", "1175", "1176", "1177", "1178", "1179", "1180", "1181", "1182", "1183", "1184", "1185", "1186", "1187", "1188", "1189", "1190", "1191", "1192", "1193", "1194", "1195", "1196", "1197", "1198", "1199", "1200", "1201", "1202", "1203", "1204", "1205", "1206", "1207", "1208", "1209", "1210", "1211", "1212", "1213", "1214", "1215", "1216", "1217", "1218", "1219", "1220", "1221", "1222", "1223", "1224", "1225", "1226", "1227", "1228", "1229", "1230", "1231", "1232", "1233", "1234", "1235", "1236", "1237", "1238", "1239", "1240", "1241", "1242", "1243", "1244", "1245", "1246", "1247", "1248", "1249", "1250", "1251", "1252", "1253", "1254", "1255", "1256", "1257", "1258", "1259", "1260", "1261", "1262", "1263", "1264", "1265", "1266", "1267", "1268", "1269", "1270", "1271", "1272", "1273", "1274", "1275", "1276", "1277", "1278", "1279", "1280", "1281", "1282", "1283", "1284", "1285", "1286", "1287", "1288", "1289", "1290", "1291", "1292", "1293", "1294", "1295", "1296", "1297", "1298", "1299", "1300", "1301", "1302", "1303", "1304", "1305", "1306", "1307", "1308", "1309", "1310", "1311", "1312", "1313", "1314", "1315", "1316", "1317", "1318", "1319", "1320", "1321", "1322", "1323", "1324", "1325", "1326", "1327", "1328", "1329", "1330", "1331", "1332", "1333", "1334", "1335", "1336", "1337", "1338", "1339", "1340", "1341", "1342", "1343", "1344", "1345", "1346", "1347", "1348", "1349", "1350", "1351", "1352", "1353", "1354", "1355", "1356", "1357", "1358", "1359", "1360", "1361", "1362", "1363", "1364", "1365", "1366", "1367", "1368", "1369", "1370", "1371", "1372", "1373", "1374", "1375", "1376", "1377", "1378", "1379", "1380", "1381", "1382", "1383", "1384", "1385", "1386", "1387", "1388", "1389", "1390", "1391", "1392", "1393", "1394", "1395", "1396", "1397", "1398", "1399", "1400", "1401", "1402", "1403", "1404", "1405", "1406", "1407", "1408", "1409", "1410", "1411", "1412", "1413", "1414", "1415", "1416", "1417", "1418", "1419", "1420", "1421", "1422", "1423", "1424", "1425", "1426", "1427", "1428", "1429", "1430", "1431", "1432", "1433", "1434", "1435", "1436", "1437", "1438", "1439", "1440", "1441", "1442", "1443", "1444", "1445", "1446", "1447", "1448", "1449", "1450", "1451", "1452", "1453", "1454", "1455", "1456", "1457", "1458", "1459", "1460", "1461", "1462", "1463", "1464", "1465", "1466", "1467", "1468", "1469", "1470", "1471", "1472", "1473", "1474", "1475", "1476", "1477", "1478", "1479", "1480", "1481", "1482", "1483", "1484", "1485", "1486", "1487", "1488", "1489", "1490", "1491", "1492", "1493", "1494", "1495", "1496", "1497", "1498", "1499", "1500", "1501", "1502", "1503", "1504", "1505", "1506", "1507", "1508", "1509", "1510", "1511", "1512", "1513", "1514", "1515", "1516", "1517", "1518", "1519", "1520", "1521", "1522", "1523", "1524", "1525", "1526", "1527", "1528", "1529", "1530", "1531", "1532", "1533", "1534", "1535", "1536", "1537", "1538", "1539", "1540", "1541", "1542", "1543", "1544", "1545", "1546", "1547", "1548", "1549", "1550", "1551", "1552", "1553", "1554", "1555", "1556", "1557", "1558", "1559", "1560", "1561", "1562", "1563", "1564", "1565", "1566", "1567", "1568", "1569", "1570", "1571", "1572", "1573", "1574", "1575", "1576", "1577", "1578", "1579", "1580", "1581", "1582", "1583", "1584", "1585", "1586", "1587", "1588", "1589", "1590", "1591", "1592", "1593", "1594", "1595", "1596", "1597", "1598", "1599", "1600", "1601", "1602", "1603", "1604", "1605", "1606", "1607", "1608", "1609", "1610", "1611", "1612", "1613", "1614", "1615", "1616", "1617", "1618", "1619", "1620", "1621", "1622", "1623", "1624", "1625", "1626", "1627", "1628", "1629", "1630", "1631", "1632", "1633", "1634", "1635", "1636", "1637", "1638", "1639", "1640", "1641", "1642", "1643", "1644", "1645", "1646", "1647", "1648", "1649", "1650", "1651", "1652", "1653", "1654", "1655", "1656", "1657", "1658", "1659", "1660", "1661", "1662", "1663", "1664", "1665", "1666", "1667", "1668", "1669", "1670", "1671", "1672", "1673", "1674", "1675", "1676", "1677", "1678", "1679", "1680", "1681", "1682", "1683", "1684", "1685", "1686", "1687", "1688", "1689", "1690", "1691", "1692", "1693", "1694", "1695", "1696", "1697", "1698", "1699", "1700", "1701", "1702", "1703", "1704", "1705", "1706", "1707", "1708", "1709", "1710", "1711", "1712", "1713", "1714", "1715", "1716", "1717", "1718", "1719", "1720", "1721", "1722", "1723", "1724", "1725", "1726", "1727", "1728", "1729", "1730", "1731", "1732", "1733", "1734", "1735", "1736", "1737", "1738", "1739", "1740", "1741", "1742", "1743", "1744", "1745", "1746", "1747", "1748", "1749", "1750", "1751", "1752", "1753", "1754", "1755", "1756", "1757", "1758", "1759", "1760", "1761", "1762", "1763", "1764", "1765", "1766", "1767", "1768", "1769", "1770", "1771", "1772", "1773", "1774", "1775", "1776", "1777", "1778", "1779", "1780", "1781", "1782", "1783", "1784", "1785", "1786", "1787", "1788", "1789", "1790", "1791", "1792", "1793", "1794", "1795", "1796", "1797", "1798", "1799", "1800", "1801", "1802", "1803", "1804", "1805", "1806", "1807", "1808", "1809", "1810", "1811", "1812", "1813", "1814", "1815", "1816", "1817", "1818", "1819", "1820", "1821", "1822", "1823", "1824", "1825", "1826", "1827", "1828", "1829", "1830", "1831", "1832", "1833", "1834", "1835", "1836", "1837", "1838", "1839", "1840", "1841", "1842", "1843", "1844", "1845", "1846", "1847", "1848", "1849", "1850", "1851", "1852", "1853", "1854", "1855", "1856", "1857", "1858", "1859", "1860", "1861", "1862", "1863", "1864", "1865", "1866", "1867", "1868", "1869", "1870", "1871", "1872", "1873", "1874", "1875", "1876", "1877", "1878", "1879", "1880", "1881", "1882", "1883", "1884", "1885", "1886", "1887", "1888", "1889", "1890", "1891", "1892", "1893", "1894", "1895", "1896", "1897", "1898", "1899", "1900", "1901", "1902", "1903", "1904", "1905", "1906", "1907", "1908", "1909", "1910", "1911", "1912", "1913", "1914", "1915", "1916", "1917", "1918", "1919", "1920", "1921", "1922", "1923", "1924", "1925", "1926", "1927", "1928", "1929", "1930", "1931", "1932", "1933", "1934", "1935", "1936", "1937", "1938", "1939", "1940", "1941", "1942", "1943", "1944", "1945", "1946", "1947", "1948", "1949", "1950", "1951", "1952", "1953", "1954", "1955", "1956", "1957", "1958", "1959", "1960", "1961", "1962", "1963", "1964", "1965", "1966", "1967", "1968", "1969", "1970", "1971", "1972", "1973", "1974", "1975", "1976", "1977", "1978", "1979", "1980", "1981", "1982", "1983", "1984", "1985", "1986", "1987", "1988", "1989", "1990", "1991", "1992", "1993", "1994", "1995", "1996", "1997", "1998", "1999", "2000")), x = c(1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2), factors = list()), theta = c(1, 0, 1), Lambdat = new("dgCMatrix", i = c(0L, 0L, 1L, 2L, 2L, 3L, 4L, 4L, 5L, 6L, 6L, 7L, 8L, 8L, 9L, 10L, 10L, 11L, 12L, 12L, 13L, 14L, 14L, 15L, 16L, 16L, 17L, 18L, 18L, 19L, 20L, 20L, 21L, 22L, 22L, 23L, 24L, 24L, 25L, 26L, 26L, 27L, 28L, 28L, 29L, 30L, 30L, 31L, 32L, 32L, 33L, 34L, 34L, 35L, 36L, 36L, 37L, 38L, 38L, 39L, 40L, 40L, 41L, 42L, 42L, 43L, 44L, 44L, 45L, 46L, 46L, 47L, 48L, 48L, 49L, 50L, 50L, 51L, 52L, 52L, 53L, 54L, 54L, 55L, 56L, 56L, 57L, 58L, 58L, 59L, 60L, 60L, 61L, 62L, 62L, 63L, 64L, 64L, 65L, 66L, 66L, 67L, 68L, 68L, 69L, 70L, 70L, 71L, 72L, 72L, 73L, 74L, 74L, 75L, 76L, 76L, 77L, 78L, 78L, 79L, 80L, 80L, 81L, 82L, 82L, 83L, 84L, 84L, 85L, 86L, 86L, 87L, 88L, 88L, 89L, 90L, 90L, 91L, 92L, 92L, 93L, 94L, 94L, 95L, 96L, 96L, 97L, 98L, 98L, 99L, 100L, 100L, 101L, 102L, 102L, 103L, 104L, 104L, 105L, 106L, 106L, 107L, 108L, 108L, 109L, 110L, 110L, 111L, 112L, 112L, 113L, 114L, 114L, 115L, 116L, 116L, 117L, 118L, 118L, 119L, 120L, 120L, 121L, 122L, 122L, 123L, 124L, 124L, 125L, 126L, 126L, 127L, 128L, 128L, 129L, 130L, 130L, 131L, 132L, 132L, 133L, 134L, 134L, 135L, 136L, 136L, 137L, 138L, 138L, 139L, 140L, 140L, 141L, 142L, 142L, 143L, 144L, 144L, 145L, 146L, 146L, 147L, 148L, 148L, 149L, 150L, 150L, 151L, 152L, 152L, 153L, 154L, 154L, 155L, 156L, 156L, 157L, 158L, 158L, 159L, 160L, 160L, 161L, 162L, 162L, 163L, 164L, 164L, 165L, 166L, 166L, 167L, 168L, 168L, 169L, 170L, 170L, 171L, 172L, 172L, 173L, 174L, 174L, 175L, 176L, 176L, 177L, 178L, 178L, 179L, 180L, 180L, 181L, 182L, 182L, 183L, 184L, 184L, 185L, 186L, 186L, 187L, 188L, 188L, 189L, 190L, 190L, 191L, 192L, 192L, 193L, 194L, 194L, 195L, 196L, 196L, 197L, 198L, 198L, 199L, 200L, 200L, 201L, 202L, 202L, 203L, 204L, 204L, 205L, 206L, 206L, 207L, 208L, 208L, 209L, 210L, 210L, 211L, 212L, 212L, 213L, 214L, 214L, 215L, 216L, 216L, 217L, 218L, 218L, 219L, 220L, 220L, 221L, 222L, 222L, 223L, 224L, 224L, 225L, 226L, 226L, 227L, 228L, 228L, 229L, 230L, 230L, 231L, 232L, 232L, 233L, 234L, 234L, 235L, 236L, 236L, 237L, 238L, 238L, 239L, 240L, 240L, 241L, 242L, 242L, 243L, 244L, 244L, 245L, 246L, 246L, 247L, 248L, 248L, 249L, 250L, 250L, 251L, 252L, 252L, 253L, 254L, 254L, 255L, 256L, 256L, 257L, 258L, 258L, 259L, 260L, 260L, 261L, 262L, 262L, 263L, 264L, 264L, 265L, 266L, 266L, 267L, 268L, 268L, 269L, 270L, 270L, 271L, 272L, 272L, 273L, 274L, 274L, 275L, 276L, 276L, 277L, 278L, 278L, 279L, 280L, 280L, 281L, 282L, 282L, 283L, 284L, 284L, 285L, 286L, 286L, 287L, 288L, 288L, 289L, 290L, 290L, 291L, 292L, 292L, 293L, 294L, 294L, 295L, 296L, 296L, 297L, 298L, 298L, 299L, 300L, 300L, 301L, 302L, 302L, 303L, 304L, 304L, 305L, 306L, 306L, 307L, 308L, 308L, 309L, 310L, 310L, 311L, 312L, 312L, 313L, 314L, 314L, 315L, 316L, 316L, 317L, 318L, 318L, 319L, 320L, 320L, 321L, 322L, 322L, 323L, 324L, 324L, 325L, 326L, 326L, 327L, 328L, 328L, 329L, 330L, 330L, 331L, 332L, 332L, 333L, 334L, 334L, 335L, 336L, 336L, 337L, 338L, 338L, 339L, 340L, 340L, 341L, 342L, 342L, 343L, 344L, 344L, 345L, 346L, 346L, 347L, 348L, 348L, 349L, 350L, 350L, 351L, 352L, 352L, 353L, 354L, 354L, 355L, 356L, 356L, 357L, 358L, 358L, 359L, 360L, 360L, 361L, 362L, 362L, 363L, 364L, 364L, 365L, 366L, 366L, 367L, 368L, 368L, 369L, 370L, 370L, 371L, 372L, 372L, 373L, 374L, 374L, 375L, 376L, 376L, 377L, 378L, 378L, 379L, 380L, 380L, 381L, 382L, 382L, 383L, 384L, 384L, 385L, 386L, 386L, 387L, 388L, 388L, 389L, 390L, 390L, 391L, 392L, 392L, 393L, 394L, 394L, 395L, 396L, 396L, 397L, 398L, 398L, 399L), p = c(0L, 1L, 3L, 4L, 6L, 7L, 9L, 10L, 12L, 13L, 15L, 16L, 18L, 19L, 21L, 22L, 24L, 25L, 27L, 28L, 30L, 31L, 33L, 34L, 36L, 37L, 39L, 40L, 42L, 43L, 45L, 46L, 48L, 49L, 51L, 52L, 54L, 55L, 57L, 58L, 60L, 61L, 63L, 64L, 66L, 67L, 69L, 70L, 72L, 73L, 75L, 76L, 78L, 79L, 81L, 82L, 84L, 85L, 87L, 88L, 90L, 91L, 93L, 94L, 96L, 97L, 99L, 100L, 102L, 103L, 105L, 106L, 108L, 109L, 111L, 112L, 114L, 115L, 117L, 118L, 120L, 121L, 123L, 124L, 126L, 127L, 129L, 130L, 132L, 133L, 135L, 136L, 138L, 139L, 141L, 142L, 144L, 145L, 147L, 148L, 150L, 151L, 153L, 154L, 156L, 157L, 159L, 160L, 162L, 163L, 165L, 166L, 168L, 169L, 171L, 172L, 174L, 175L, 177L, 178L, 180L, 181L, 183L, 184L, 186L, 187L, 189L, 190L, 192L, 193L, 195L, 196L, 198L, 199L, 201L, 202L, 204L, 205L, 207L, 208L, 210L, 211L, 213L, 214L, 216L, 217L, 219L, 220L, 222L, 223L, 225L, 226L, 228L, 229L, 231L, 232L, 234L, 235L, 237L, 238L, 240L, 241L, 243L, 244L, 246L, 247L, 249L, 250L, 252L, 253L, 255L, 256L, 258L, 259L, 261L, 262L, 264L, 265L, 267L, 268L, 270L, 271L, 273L, 274L, 276L, 277L, 279L, 280L, 282L, 283L, 285L, 286L, 288L, 289L, 291L, 292L, 294L, 295L, 297L, 298L, 300L, 301L, 303L, 304L, 306L, 307L, 309L, 310L, 312L, 313L, 315L, 316L, 318L, 319L, 321L, 322L, 324L, 325L, 327L, 328L, 330L, 331L, 333L, 334L, 336L, 337L, 339L, 340L, 342L, 343L, 345L, 346L, 348L, 349L, 351L, 352L, 354L, 355L, 357L, 358L, 360L, 361L, 363L, 364L, 366L, 367L, 369L, 370L, 372L, 373L, 375L, 376L, 378L, 379L, 381L, 382L, 384L, 385L, 387L, 388L, 390L, 391L, 393L, 394L, 396L, 397L, 399L, 400L, 402L, 403L, 405L, 406L, 408L, 409L, 411L, 412L, 414L, 415L, 417L, 418L, 420L, 421L, 423L, 424L, 426L, 427L, 429L, 430L, 432L, 433L, 435L, 436L, 438L, 439L, 441L, 442L, 444L, 445L, 447L, 448L, 450L, 451L, 453L, 454L, 456L, 457L, 459L, 460L, 462L, 463L, 465L, 466L, 468L, 469L, 471L, 472L, 474L, 475L, 477L, 478L, 480L, 481L, 483L, 484L, 486L, 487L, 489L, 490L, 492L, 493L, 495L, 496L, 498L, 499L, 501L, 502L, 504L, 505L, 507L, 508L, 510L, 511L, 513L, 514L, 516L, 517L, 519L, 520L, 522L, 523L, 525L, 526L, 528L, 529L, 531L, 532L, 534L, 535L, 537L, 538L, 540L, 541L, 543L, 544L, 546L, 547L, 549L, 550L, 552L, 553L, 555L, 556L, 558L, 559L, 561L, 562L, 564L, 565L, 567L, 568L, 570L, 571L, 573L, 574L, 576L, 577L, 579L, 580L, 582L, 583L, 585L, 586L, 588L, 589L, 591L, 592L, 594L, 595L, 597L, 598L, 600L ), Dim = c(400L, 400L), Dimnames = list(NULL, NULL), x = c(1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1), factors = list()), Lind = c(1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L), n = 2000L, X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1)) 8: do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) 9: (function (fr, X, reTrms, REML = TRUE, start = NULL, verbose = 0, control = lmerControl(), ...) { p <- ncol(X) rho <- new.env(parent = parent.env(environment())) rho$pp <- do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) REMLpass <- if (REML) p else 0L rho$resp <- if (missing(fr)) mkRespMod(REML = REMLpass, ...) else mkRespMod(fr, REML = REMLpass) pp <- resp <- NULL rho$lmer_Deviance <- lmer_Deviance devfun <- function(theta) .Call(lmer_Deviance, pp$ptr(), resp$ptr(), as.double(theta)) environment(devfun) <- rho if (is.null(start) && all(reTrms$cnms == "(Intercept)") && length(reTrms$flist) == length(reTrms$lower) && !is.null(y <- model.response(fr))) { v <- sapply(reTrms$flist, function(f) var(ave(y, f))) v.e <- var(y) - sum(v) if (!is.na(v.e) && v.e > 0) { v.rel <- v/v.e if (all(v.rel >= reTrms$lower^2)) rho$pp$setTheta(sqrt(v.rel)) } } if (length(rho$resp$y) > 0) devfun(rho$pp$theta) rho$lower <- reTrms$lower devfun})(fr = list(Y = c(-1.08049204739491, -0.680241509559807, -0.651483733936645, -0.391153975084427, -0.194078758440616, -0.0299178326846252, 0.0915831070726823, 0.179770575578827, 0.395106308235395, 0.183250211551089, -0.983723753325511, -0.547307851867043, -0.207244919621007, -0.143600084606744, 0.0966293612124819, 0.374120856167268, 0.558348861222914, 0.526765448372462, 0.464684858215037, 0.794892429097117, -1.10718162649185, -0.990516691022845, -0.634283499357763, -0.551526953922653, -0.10591729443751, 0.171529404127891, -0.0197551973151322, 0.160187986323285, 0.228692941677018, 0.239857120264067, -0.724744318920458, -0.161415909861211, -0.0942947590494218, 0.287276438912974, 0.540459649997472, 0.613220437961115, 0.834613448732061, 0.815707558928517, 0.786873304657883, 0.910129402076525, -0.944530942458351, -0.435697808991655, -0.366102330479427, -0.0698184647161988, 0.0350865486955184, -0.156070551913071, 0.0987809916144342, 0.2441336626617, 0.32186978614008, 0.0360564659794654, -1.14997085189733, -0.965251046264667, -0.678270331298838, -0.496224065939802, -0.263238756647819, 0.0710911517558851, 0.260196086976484, 0.10376585564981, 0.277906786162946, 0.457202815973271, -0.899074992736446, -0.316242340878754, -0.126718603414201, 0.0502362802499105, 0.193648496489226, 0.384063531593883, 0.408998069875038, 0.626345453871463, 0.75601401791874, 0.721278323413423, -0.859827014127644, -0.620795278292639, -0.189784341067656, 0.105852815384809, 0.397939752846407, 0.292549710145121, 0.582913248752645, 0.65238273105467, 0.791480058886135, 0.672839147922177, -0.862995479954378, -0.628515644792719, -0.291651089056681, -0.0417024003110876, 0.424478254330202, 0.589482631286332, 0.444059664893448, 0.43275757522172, 0.376718979166969, 0.62286161652526, -1.20067387452039, -0.543902465312747, -0.581188209692761, -0.241280036851682, 0.329366588006018, -0.00132865293767449, 0.262036263380989, 0.202801234959014, 0.390960955466907, 0.272067872642181, -0.538735337191053, -0.264398664897602, -0.0807883487819064, 0.271406647207544, 0.562672812235379, 0.776638611444597, 0.594193723546582, 0.781220569081036, 0.957334753977086, 0.725674532573928, -1.13589709796161, -0.658382653089272, -0.382767884032373, -0.0420527928464184, 0.11256078189111, 0.336314014545983, 0.391650928569944, 0.552517603633742, 0.520216608626598, 0.678032579900987, -1.26010492668826, -0.84817244874923, -0.696097182091725, -0.356690862185824, -0.191649984969894, -0.204220662824541, 0.0614109427992764, 0.265950988843783, 0.24865946560631, 0.18792791452845, -1.78364161052454, -1.24913138593351, -1.09928453821656, -0.933038715126144, -0.543821322146887, -0.64465235200411, -0.436532173025074, -0.277375849078713, -0.323514806615735, -0.43213298036168, -0.704362534899332, -0.30245094388938, -0.00156633061046021, 0.194490179946525, 0.530512046283879, 0.55861548537945, 0.622194440997043, 0.833475852606989, 0.607578025005999, 0.875460476568261, -0.963783987462198, -0.705501251495095, -0.503767966572336, -0.180099153297083, 0.226331125491881, 0.169438254682823, 0.143553929444665, 0.551378951153971, 0.473946434088835, 0.487405763250149, -1.12639348304518, -0.696963145619999, -0.353939729437406, -0.251674411573962, -0.0619677255309729, 0.260494194897318, 0.238698137636134, 0.320571693119209, 0.30759062564589, 0.454312327707779, -0.816268499721033, -0.332269293021768, -0.0764754703670609, 0.0168366666417669, 0.329575078279311, 0.485040147093159, 0.546049130572569, 0.753589074410018, 0.37798114605376, 0.441329794581062, -0.891285562843657, -0.416149386602485, 0.00675561644811523, 0.257785519571868, 0.341024037016331, 0.542753263495955, 0.563583847060516, 0.708647734854999, 0.743547158105095, 0.634486461591561, -0.851159097009834, -0.52223025134963, -0.0957842374052129, -0.104796554945487, -0.0179662405486728, 0.425353883419978, 0.382462614052528, 0.496514425500651, 0.667135889794316, 0.497390856221023, -0.758413486481315, -0.279742070478549, -0.122337660894348, 0.0943606223569572, 0.202277897335747, 0.238569420834763, 0.299371491147452, 0.483980869805862, 0.724270411677792, 0.524541752421344, -0.748921818856041, -0.418492814652318, -0.216178214042607, -0.0829412282249047, 0.519593669740909, 0.365230224172865, 0.493811751893587, 0.42100462760792, 0.612498702153225, 0.610123684349887, -1.00318154284308, -0.849747405129765, -0.225516576487605, -5.9659124570538e-05, 0.0806001196456664, 0.0501182515217741, 0.340689297326351, 0.314131202776065, 0.336833317870137, 0.495603890912212, -1.71959376775728, -1.33813572489671, -1.08984776723031, -0.783973705177791, -0.751962108717634, -0.513242028450135, -0.259054649636717, -0.211371697784856, -0.322034921806786, -0.174980593698219, -1.05731625017215, -0.547371325417508, -0.180796243217484, -0.0962862041461393, 0.148188196611899, 0.135204580242126, 0.482511068806355, 0.276385310062773, 0.453245364767553, 0.44476567685451, -1.01074649912803, -0.765572627759036, -0.206141432211499, -0.277503290950713, 0.10599868341093, -0.0378019347795997, 0.392501308452367, 0.539804404648728, 0.437437794536148, 0.633958866620803, -1.01364101701218, -0.639204902649173, -0.550776808761401, -0.332612154822042, -0.221324815653773, 0.0754575957526891, 0.0861946935490919, 0.361754335626899, 0.333424590225597, 0.539123380277197, -1.55699647509993, -1.02731569976089, -0.941986306170792, -0.818183407820405, -0.438001179158874, -0.500919169033779, -0.364889555617082, -0.273978069544007, -0.160378156253568, -0.301669129101191, -1.03565998421202, -0.947571169661577, -0.529744915610028, -0.300340976706822, -0.223971922187734, -0.00251266038884228, 0.0929721539284668, 0.333263782376122, 0.432157688545837, 0.172194683962537, -0.781560291086065, -0.565657704278778, -0.477834398159632, -0.119213152435537, 0.20047803012367, 0.327353506582286, 0.187585267934356, 0.569315652313148, 0.616750194502652, 0.521249148974516, -0.663152957803017, -0.0926123161844314, -0.0356489416275028, 0.1955634724741, 0.268727602346791, 0.391262209271194, 0.478455397214107, 0.654163733154094, 0.858536407632899, 0.884400679951271, -0.87399984476762, -0.619679632868761, -0.53113985950804, -0.427326465271399, -0.174730109896491, -0.25973743252837, 0.0340785718963482, 0.275889821007585, 0.127935179066585, 0.189860482898105, -0.834764420837798, -0.655125762525309, -0.135921186975269, -0.0906644129285775, 0.00756420138550136, 0.260624655305334, 0.210631639303372, 0.518296241979532, 0.51199575091204, 0.4167751802466, -1.06498440093399, -0.602592896799572, -0.522050082364532, -0.273284455925739, 0.0689231210742195, 0.143261514604954, 0.403289698781106, 0.373801321736478, 0.556524515177236, 0.490463721935192, -1.63763312445788, -1.23373834813285, -0.698513209355216, -0.523806830277076, -0.495194551041245, -0.378175689157898, -0.024843990964294, -0.133508557941658, 0.164215080967473, 0.158064001385098, -1.26996750597014, -0.896574428267279, -0.664073763801451, -0.238819964777439, -0.240654886869949, -0.160613591330912, 0.359979969747888, 0.333894954003005, 0.350956127467933, 0.199284928251848, -1.11941510923814, -0.736507672149433, -0.646293856463646, -0.28979687224115, -0.0585035043291942, 0.254986606652568, 0.272203223071152, 0.418987805891035, 0.348087578477002, 0.22654481843085, -1.05176171620955, -0.883873109788017, -0.363620269377663, -0.0934377346055381, -0.0595136412067498, -0.00895911526027411, 0.300712652427269, 0.269290666074186, 0.240584916925782, 0.375918659446698, -0.745976954140595, -0.229329819565304, -0.142212870104762, 0.227930402665805, 0.485174932856501, 0.430253304527808, 0.73182731788583, 0.769585911287044, 0.89754243188624, 0.760825522484667, -0.779745908868486, -0.319298005865557, -0.166662694278239, 0.133315907311058, 0.223909703024984, 0.298556174778734, 0.516392775789562, 0.471470061114761, 0.371335696758898, 0.745330580908595, -1.15804796057382, -0.910526125811603, -0.346456562328097, -0.204744012550325, -0.0605999380718162, 0.144982665714224, 0.244087720325788, 0.470753949443602, 0.48875018710082, 0.248710928277381, -1.04066865447678, -0.678256804595889, -0.398547913572573, -0.461747754922569, -0.0362999521590866, 0.35224476393132, 0.361500354361054, 0.198926578250585, 0.252014448105392, 0.476513224664349, -0.808316535935807, -0.378718568355969, -0.168907768780631, 0.046860518358404, 0.254671610403758, 0.410969600939799, 0.385916689216572, 0.826852253497767, 0.490222533451606, 0.629740904834728, -0.887432975660069, -0.349172978069515, -0.163729537633792, -0.0964407275285441, 0.165771318073949, 0.407567571191144, 0.620939624917275, 0.49431364053928, 0.387110091815595, 0.380773966965914, -1.00605485032144, -1.08718178143739, -0.287554493689742, -0.371774060352453, -0.183094770060396, 0.0465779953525637, 0.253132023708381, 0.27954101678147, 0.103602032387461, 0.345023418178814, -1.16720609571439, -0.854937268063667, -0.772184408745842, -0.693800777828744, -0.316318447022047, -0.244959190717075, -0.133292987696422, -0.0977627595896215, -0.0273722958081058, -0.0433867478595441, -0.811016140034967, -0.484455560502256, -0.394530717501966, -0.117444677621641, 0.138590094083037, 0.391827053075372, 0.356337052898916, 0.262546725139825, 0.486603135401939, 0.442986447543821, -0.592190837299332, -0.424358444844735, -0.249772351207794, 0.000307513222094567, 0.185951006388161, 0.407798968956712, 0.520045832059662, 0.667691297201436, 0.642320400516789, 0.568324076726794, -1.12776499316304, -0.658499112886924, -0.455989969485025, -0.198735222545834, 0.0865610316249411, 0.305110257905702, 0.148728643445931, 0.48321575572067, 0.267325604833197, 0.376319251897907, -0.713430632578199, -0.438439798264009, 0.0140889187764804, 0.054678803806823, 0.393023348106393, 0.492538693471669, 0.528104104204343, 0.830602746175988, 0.548675320190882, 0.713763461873413, -1.03470849258061, -0.546042305396142, -0.263444506778065, -0.16567880076854, 0.207865316702235, 0.196549129374914, 0.483322262480993, 0.51924183896854, 0.605537107343288, 0.439205649501013, -1.17407251700742, -0.911785528574798, -0.733793643632059, -0.332544791753395, 0.029148631703719, -0.0529550827414613, 0.11244373024176, 0.282417145465328, 0.258668444670794, 0.451462473592438, -0.823942719193685, -0.352724394723699, -0.276666721689241, -0.191155363578472, 0.158657615367803, 0.178850076084698, 0.285874905503422, 0.443402976614728, 0.592005174313176, 0.529761426083835, -1.25740690117788, -0.93644640770059, -0.773843472914794, -0.765065296016899, -0.252941597105841, 0.0371830341946181, -0.0605926460973355, -0.128131057137522, 0.00489052227888573, -0.0570271209016955, -0.57425681149685, -0.181173099724671, 0.119661730770067, 0.298831862101186, 0.384707416983047, 0.72271354489018, 0.899997908686848, 1.07462588293927, 0.844837741232378, 0.946871451087525, -0.286510863836833, -0.0912034600511423, 0.259731887387722, 0.475991951809016, 0.64890244925828, 0.847489739190756, 1.05589735920803, 1.08958105416775, 1.05183224892263, 0.884764507691161, -1.18967276145244, -0.82528277681509, -0.827356772257438, -0.146952224711057, -0.348562991531362, -0.186907469600807, 0.164289854118384, -0.150629422426999, 0.152600408540521, 0.0151230587165841, -1.26765271374379, -0.905485341890835, -0.808704913526407, -0.542511331739403, -0.570196276256194, -0.20468724994628, 0.0518499634019894, 0.147244879681131, 0.342844530976005, 0.150496270503588, -0.782718246927089, -0.503862427064579, -0.28178620532364, 0.0805200061004952, 0.251277715018023, 0.377515462843725, 0.403240339079161, 0.561478173462953, 0.68483555796132, 0.676033603656852, -1.08878163372104, -0.798572677953197, -0.411032321796725, -0.127578756765212, -0.0300274018613842, 0.0773678519397459, 0.131954253286425, 0.249910650130716, 0.175876011586613, 0.247225026740133, -0.166018162982748, 0.155825568541784, 0.242195503724704, 0.595481135800167, 0.786976079398466, 0.779893993905459, 1.1538590688965, 0.968650510123687, 1.082813592859, 1.31540205341485, -1.06585927527138, -0.724154190559044, -0.594961124265792, -0.347620747861611, 0.0233034925675205, 0.121988524606523, 0.19202489559943, 0.189983368833333, 0.246368424266101, 0.552914641944643, -0.82572715060225, -0.40525665272459, -0.133241689360286, 0.0959909502653922, 0.241049717006817, 0.238729574613053, 0.375904944893851, 0.625378419926403, 0.453281756675019, 0.631242752261641, -1.04495330972353, -0.708329931549586, -0.463848425803633, -0.163810917834639, 0.151510183664655, 0.274247348121146, 0.331203773622734, 0.527520726052645, 0.652684359347334, 0.493504732550696, -1.17593301735395, -0.862472880854438, -0.694903995798421, -0.436097444686408, 0.0627069141755977, 0.13352017223688, 0.254756923358188, 0.290956266437256, 0.380881789558806, 0.364166371201937, -0.93916243473697, -0.604439222027399, -0.450753277737637, 0.127983952304888, 0.16612025954033, 0.219359450183646, 0.484819175888597, 0.380348250092143, 0.654227556487667, 0.44420582464575, -1.7736366743125, -1.09618635565586, -0.849992221290951, -0.810769798707215, -0.684004868417726, -0.575555507774561, -0.307645654223975, -0.39228488172444, -0.257992722279019, -0.167348777408213, -0.474781619326094, -0.341961977248412, -0.011464236426816, 0.247746394466579, 0.575993563138345, 0.450589762174572, 0.488850101524401, 0.528051025463028, 0.792010353257238, 0.71474320984787, -0.876815368097118, -0.658205834548353, -0.334416573416884, -0.120414351527564, 0.0509015737586442, 0.138128520611096, 0.438996963156497, 0.345083686483057, 0.485696360732152, 0.429336619028681, -0.170064051412637, 0.0260425963822803, 0.184783610365396, 0.441763183887132, 0.614766338595252, 0.563325657222588, 1.0477564910456, 1.05050587881649, 0.894050588709919, 0.996001324374682, -0.833157550969403, -0.659919864223083, -0.126456136379764, -0.0685807157087351, 0.166787065276249, 0.341594322280114, 0.314867128419926, 0.379402823569365, 0.517251509408837, 0.574368160409241, -1.20560087609208, -0.824427134474725, -0.58306761643372, -0.323076954187808, -0.318462606221317, 0.0494709197807706, 0.0232168595461586, 0.1365492158516, 0.214055926066585, 0.0616688788150791, -0.826735789150419, -0.556652689524289, -0.319909075760006, -0.0784148677653481, 0.287190459138082, 0.18283988312212, 0.393777873991212, 0.235198282198347, 0.442549479436457, 0.447902478301338, -1.12599671069807, -1.03341566153565, -0.72092254701432, -0.509464466358327, -0.127224071923467, 0.155195353296902, 0.0654173637932899, 0.248676682098801, 0.494352207735711, 0.316257659150346, -1.3075387992341, -1.02182595581383, -0.915508365338716, -0.42697860755056, -0.272354815375434, -0.243403449526745, -0.167199698268186, -0.0375655216743739, 0.121653161748842, -0.016913780523566, -1.09998666122169, -0.600718494996014, -0.222605690328319, -0.168582124557462, 0.131157702614598, 0.200843336862239, 0.463350532000354, 0.527521016310259, 0.586997397072162, 0.538221955577986, -1.20392390812082, -0.757697484498187, -0.585688860848384, -0.40576299916203, -0.538761308138778, -0.214883480544637, 0.0795836933893232, 0.0137200462458355, -0.0548278916480202, -0.00583222563737554, -1.03722646910481, -0.727999040920543, -0.345886123562862, -0.000658039892216356, 0.149358123652149, 0.338950096014736, 0.30563383877489, 0.507831598991237, 0.370559935295808, 0.460509580697285, -0.759153812107151, -0.680025103056021, -0.449824066818394, -0.257771565279228, 0.0582134131410909, 0.33263610845832, 0.264657312455654, 0.259233384610859, 0.515150327830421, 0.212794858856249, -1.06370303252833, -0.895190508888883, -0.670936618146093, -0.20214340117255, -0.298668237279382, 0.0162584327929648, 0.174904374541284, 0.215884329078584, 0.143572405556519, 0.250983968286207, -0.191585533786233, -0.0158060965579922, -0.203036293268565, -0.213731266270759, -0.0717734507862261, -0.0595141893894627, -0.112916352362516, -0.111688499458531, -0.0633258491794313, -0.027872592574032, -0.106563480496128, 0.036377892677132, -0.0208576126000596, -0.0494366096893149, 0.0289765314620708, 0.0108967705784663, 0.0259944724915174, -0.0542723971171218, -0.00271700558139079, -0.0285505845349976, 0.20975742157557, 0.329364644443524, 0.255474928081195, 0.250539962258431, 0.285608354995678, 0.284532094936917, 0.235642392043857, 0.274157632943312, 0.413024375049115, 0.284958089282568, -0.319526954657469, -0.271113428479506, -0.290872493157429, -0.340978169477898, -0.371315841418418, -0.277906215694011, -0.31747062051553, -0.302417095323715, -0.344212281895382, -0.415368140429693, 0.122243967439479, 0.23573756450493, 0.0405396371729389, 0.0618073988317574, 0.0416645182251493, 0.0876301168447974, 0.172378901811587, 0.0930598186060477, 0.0853665916629145, 0.031133310176209, 0.0698533950927382, 0.113907185620302, 0.170702444448822, 0.118977258928133, 0.0052920681845652, 0.0191875240062174, 0.0702675938448194, 0.0349435355758508, 0.0447629116760714, -0.0390677521668806, 0.191293474088095, 0.163330072374596, 0.160252705831347, 0.167765889254122, 0.18000170819264, 0.197488159314837, 0.226474317249925, 0.166373149895702, 0.146012074915382, 0.26670120202578, -0.0111434643849437, -0.0217936697415785, 0.0325633929513929, -0.0971214159450195, 0.0584073824310728, 0.021489791556126, -0.0202807020380314, -0.00021438142558694, -0.0241631364843773, -0.0285706761633842, -0.0048079160202074, 0.11306081938328, 0.184975062106719, 0.184275105144184, 0.0902037387759922, 0.078247698082653, 0.0946688773667613, 0.1447931266631, 0.163289223986095, 0.111749055591765, 0.109133694915149, 0.0565333402555552, 0.0872406169233838, 0.12610388173855, 0.253267936694608, 0.0730564998786775, 0.0468166381148366, 0.106981776130721, 0.0688674902425522, 0.125390284087607, -0.0914415862416032, -0.0444295087754737, -0.159960551839653, -0.173984348954754, -0.0370607962041077, -0.105909019854414, -0.165027703445125, -0.174329651822332, -0.149992806309469, -0.094585682703628, 0.215209790660389, 0.310338626237159, 0.257111306325628, 0.256385871223345, 0.24748860217465, 0.235058479050704, 0.243226144957553, 0.311106788159783, 0.188017415554423, 0.31096681163053, 0.214546313304027, 0.269901862808697, 0.231330153834127, 0.168045410252839, 0.25376649637153, 0.20558617800059, 0.294811205517897, 0.198290113693381, 0.151372935800515, 0.199146619990237, 0.111441593785182, 0.0924072744458417, 0.115485682157276, 0.0912596405325136, 0.0941499340782187, 0.124747694214932, 0.0438268701883136, 0.133679162502219, 0.0892035659268788, 0.0810810476619481, 0.215554819909168, 0.310209367102899, 0.305392646019711, 0.383443852193606, 0.418524237126529, 0.418449652503448, 0.309124598799907, 0.332892907440894, 0.376123738383294, 0.335521018014114, 0.0314816754140573, 0.151862363574028, 0.11630020183542, 0.144209720578581, 0.0539340781105221, 0.0976622691435554, 0.0567201243501367, 0.0744093628492401, 0.127938248480955, 0.0763255456362709, -0.30499071742228, -0.317224202423587, -0.320224205830042, -0.288252851698003, -0.156517832626982, -0.271086760422909, -0.290560899662028, -0.30177507848067, -0.235629328283154, -0.244394827346732, -0.102049616859983, -0.124543352836602, -0.0627795984259217, -0.0659133710908742, -0.044869395187458, -0.0812527203415913, -0.033464638359572, -0.0887653552520086, -0.0340464149708726, -0.0843467027044754, -0.278997998719802, -0.306152314001783, -0.280817645462599, -0.283030712224307, -0.217017592475756, -0.248651178430492, -0.277787800364572, -0.29141248141119, -0.171086120810643, -0.258782615675092, -0.157120298367682, -0.117539773750547, -0.0927335147512943, -0.0571056117825647, -0.104363469767441, -0.0958833735542934, -0.154807002290763, -0.0643732441156773, -0.100558395627234, -0.0700647564190005, -0.0467292687240112, -0.111155403729765, -0.130256898783204, -0.150522625007906, -0.137006014969416, -0.149956711835407, -0.081746488649109, -0.169654371756671, -0.1795663693901, -0.121695477543877, 0.0626371249529503, 0.00991009826018276, -0.0255986119893528, 0.0279386085037547, -0.027769401798989, -0.020599137616569, -0.0158554289227214, 0.0302792961745892, 0.0358143440299546, 0.0306568133713482, -0.133231523795756, -0.156949341044705, -0.0706795448351548, -0.0537548796749326, -0.0807095131021635, -0.14936026442567, -0.181617704322077, -0.111206344114726, -0.139854146349815, -0.089581289768955, 0.00408008422651751, 0.0759637175519856, 0.13766849093243, 0.0746903992344276, 0.0618765519604326, 0.0249484248112692, 0.130417249291528, 0.0156912732209148, 0.086780253253965, 0.0950263040688163, -0.122898079863366, -0.28622617552991, -0.132709939351449, -0.0860071668036341, -0.166715089059483, -0.158716816231025, -0.0414874008063276, -0.219252705251325, -0.0604248450257488, -0.078202913625222, 0.320530201123672, 0.363345688834505, 0.369623186440673, 0.385970755965703, 0.386543012495606, 0.360299345426385, 0.406707255282511, 0.469889514417537, 0.440583538641091, 0.488798434236589, 0.129597475031256, 0.172864023965693, 0.169246894704963, 0.107285320885824, 0.103972562305609, 0.238699362225116, 0.104191262563419, 0.193458286038661, 0.132982770400128, 0.0917060154620475, 0.105323968745365, 0.124240334761134, 0.0895755459436486, 0.145395789948808, 0.240789072534263, 0.165591189326194, 0.283999106037354, 0.191047952897876, 0.155303074061868, 0.190493999503453, 0.0473861664819208, 0.0500869514658925, 0.0707298026428685, 0.0672880726147367, 0.0965427525579039, 0.0810524771207812, 0.0883481611043079, 0.0515708132134742, 6.54161922844787e-05, 0.0583226366732202, 0.357067288945541, 0.317690098106162, 0.319901971145768, 0.395501356869531, 0.40920155608805, 0.349333415727054, 0.325435491837068, 0.429102199468903, 0.285735011328173, 0.303759182685803, -0.0846451171950984, -0.168774662952064, -0.0731916748823468, -0.160282944902307, -0.0816465757139412, -0.113054622731591, -0.0547292454853744, -0.0282189373791907, -0.0952143763085661, -0.0546495619194319, -0.182317565838923, -0.105023854323609, -0.151955342254726, -0.080784036952607, -0.0912672559750919, -0.101887243909786, -0.0991027858000856, -0.0416823508155085, -0.0965068947255543, 0.00434641864136757, 0.191248079988858, 0.302403046540447, 0.388146422493001, 0.22361383957745, 0.238570103367483, 0.256486043886254, 0.278932332208162, 0.260393040161211, 0.247211239420097, 0.364608001709638, -0.124036529920942, -0.0784513278476498, -0.284581316456226, -0.082458576146482, -0.0761976082549552, -0.16884259936978, -0.158869736560109, -0.0671531071943408, -0.15139503213337, -0.104461802482522, -0.0120940020532807, -0.0495507827893304, -0.0563997298882833, -0.112950062522321, -0.149030670827439, -0.0433994300238011, -0.0289455323090796, -0.0677422051535344, -0.0112130208952523, -0.019184785204466, -0.0955945389672186, -0.0713296791981703, -0.00429476891715384, -0.0485748894981242, -0.0194756458468037, -0.0304994975061784, 0.0362274392288592, -0.0401771418520231, -0.0900388099224108, -0.0588171879112693, -0.052115499111122, -0.0796194366084746, -0.0767782765729892, -0.0372081241170547, -0.11138011823088, -0.170716628712303, 0.0240620551306001, -0.0572950457978459, -0.028698129623782, -0.0989633129542725, -0.0511417797300845, -0.164019870841651, -0.0389986524780091, -0.0340428881798706, -0.103308393207172, -0.0849792699567035, 0.00812923894538035, -0.0361157167832138, -0.0727804967189199, -0.0422078792819883, 0.0315023067310265, 0.151682704184281, -0.0081026176933791, 0.0313629256714213, 0.109665108535261, 0.127695086712842, -0.022310729726489, 0.0886409756306647, 0.0699063151547717, 0.0453080156474458, -0.0667743474437078, -0.0760677110033817, -0.023483312479544, 0.0314433760519169, -0.101107206862679, -0.0770000729181403, 0.059609285018571, -0.0804541839491785, -0.149198283181309, -0.0148204197057761, -0.0839817910544383, -0.0947426049112935, -0.133238207792396, -0.0666127912709353, -0.0868092975571683, -0.0260553514685624, -0.0512668984426638, -0.0258318852726992, -0.0384147319492987, -0.0284728804818419, 0.306599877828633, 0.160903604608907, 0.307806709308197, 0.221206498911815, 0.313379820366881, 0.367612971253724, 0.286113563072767, 0.27477415080254, 0.317522464860869, 0.407760619036236, -0.0378630093000394, -0.0318568701005148, -0.0629958130641548, -0.0584369579939481, -0.0354258555791343, -0.104281947300814, 0.0405147327322728, -0.0343423169425057, -0.113998798840184, -0.0112006926103979, -0.0479596508008582, -0.133820948355704, 0.049952924750872, -0.116702703786923, -0.136829472853161, -0.054897052461634, -0.0341109691715555, -0.103876797570675, -0.0910271658768442, -0.165812845116156, 0.0277257201843551, -0.00225427259542573, -0.0107031558794336, 0.023794682526783, 0.0384793099036127, -0.0459521469350645, 0.0168607338727939, -0.0545141901939522, 0.108578630987864, 0.0220798619016816, 0.140742489231048, 0.120038395437298, 0.135559469547251, 0.0935546014150477, 0.153815862370155, 0.181845904804665, 0.129028935188575, 0.116096540749939, 0.0772854209185956, 0.189223970867918, 0.00197628450998251, -0.0268496767307344, -0.0454091132192709, -0.00650682818927402, -0.0897560748939024, -0.0962039279655093, -0.0963973720896896, -0.0437719776154766, 0.0122572739150916, 0.00688400005773774, -0.0357845101583102, 0.0641316118600375, -0.0632992113789276, -0.0298945324950554, -0.041148524048245, 0.00422342463427209, -0.0905400963624372, 0.05701882593315, 0.058886593613557, 0.0481752108710349, -0.140431682953291, -0.0823590844173563, -0.119672598505745, -0.0999101419997371, -0.142803116376171, -0.140920350680026, -0.265040088760517, -0.190115609865023, -0.116352094882429, -0.165830051842515, -0.125789423026668, -0.109754090648752, -0.0866063217994238, 0.0502961514531092, -0.0617583400670331, -0.0819968076610529, -0.151370422396673, -0.13881597225372, 0.0204088868873725, -0.0802458455576455, 0.0930922322347816, -0.00587683429866994, -0.107195952859797, 0.117320641201687, -0.0479070398823319, -0.0205548717178358, 0.00810534220447209, -0.00415265082160505, -0.0755315516956021, -0.0765812056413686, -0.0479986508404179, -0.160173693056571, -0.0903293767977128, -0.0533122011931736, -0.184632019498071, -0.187992343688731, -0.25926621438154, -0.0716009608108648, -0.211378832850684, -0.199439973643902, 0.0381014984522275, 0.141764032020026, 0.183581809383468, 0.112769267455675, 0.0797409969431712, 0.0146546461850172, 0.171035606560407, 0.129441808883353, 0.0911854489183243, 0.151818450913616, -0.23875306817884, -0.320725512155043, -0.352839193267846, -0.237323012931138, -0.244761633998072, -0.298427698452112, -0.109595314066309, -0.388685074426031, -0.255572478676328, -0.192162387145999, 0.135428895555274, 0.108618127651784, 0.0657576969133927, 0.0962999251602571, 0.0832478533258955, 0.0525133777340042, 0.00854365449177666, 0.111723881013848, 0.0318635219093212, 0.0332206617000295, -0.294633074234569, -0.303458398561932, -0.399565829110245, -0.318836300337808, -0.263648169284959, -0.229465924994419, -0.351290353983425, -0.317021079902858, -0.403394941732684, -0.22815253329323, -0.0599395489468721, -0.0164369398856675, -0.0799407076273435, -0.0368827733630735, 0.00548709699686084, -0.0508680440502735, 0.00748008606902389, 0.00195265018932078, -0.106067348362873, -0.00686064311371512, -0.229955090383281, -0.119558386456801, -0.133238569261666, -0.0617952278584694, -0.090903596978902, -0.135419334247566, -0.113398862272342, -0.0963098792960404, -0.156151183227892, -0.139472202952938, -0.192553636861188, -0.208735769873719, -0.15977771061883, -0.136042956149773, -0.215089822348368, -0.114855756994205, -0.173205660816602, -0.125825976551708, -0.135818421236212, -0.163213584394734, -0.108625674371267, -0.0936176235358135, -0.143120653144068, 0.0496604001191231, -0.0388294647883324, 0.0736694986596479, -0.0982987590229448, 0.0462365140056764, 0.0235930081303918, -0.0704415960031174, -0.347167607914381, -0.350515590449581, -0.38363395380775, -0.297661606589107, -0.383700264399154, -0.265049632347183, -0.422936515578803, -0.294246547978875, -0.382775754976343, -0.335575840655945, 0.231732938019588, 0.223932969687315, 0.221459838380956, 0.267026676762807, 0.217982716013617, 0.279630804499376, 0.212632540245798, 0.210946647905696, 0.194830822952303, 0.171540464082242, -0.322598909637405, -0.282254070937227, -0.2901130519884, -0.279911396803573, -0.241980192033547, -0.309671033442228, -0.318642548018989, -0.247695161519256, -0.327443804808938, -0.373556991409129, -0.137350856477329, -0.126718475206881, -0.166968549423331, -0.0256568541887544, -0.127547018964731, -0.0431908096493527, 0.0187780147616977, -0.121877051961995, -0.0844939631834653, -0.13305070564377, -0.0772225806510947, -0.287195935402387, -0.184391804379994, -0.20990240710279, -0.216890405189541, -0.222280834217239, -0.252932317709666, -0.263237741358722, -0.348358005862349, -0.291177814952233, -0.168899415589777, -0.0144161005693411, -0.126067242742033, -0.126922526574031, -0.28619263643632, -0.247844777255032, -0.236566180641232, -0.223348496918001, -0.228656901662867, -0.174335770645307, 0.40556795374786, 0.406575604857191, 0.485053831120868, 0.324199839983334, 0.43005399699332, 0.480959437673636, 0.495595864299348, 0.435639056732861, 0.428322193637613, 0.444962893056965, -0.0180748097102726, -0.0186014852519912, -0.0659121172209803, -0.00890100951759643, 0.0117844161028367, -0.0286318341075317, -0.0572879118223332, -0.0840035480376787, -0.0227130994867481, 0.0819595667490233, -0.285185121094907, -0.285523000763969, -0.111050454139551, -0.344412457024756, -0.235853120759872, -0.206184428004381, -0.259770594947547, -0.173084593539942, -0.188427060502659, -0.222462889546502, -0.386488427646186, -0.303564823697857, -0.327382707220458, -0.347252293911323, -0.287002096721883, -0.25720905631903, -0.281746795837643, -0.226961297371079, -0.386562578100473, -0.215698272632503, 0.266468995861656, 0.377901045216927, 0.450004298625252, 0.389144279527084, 0.336649540616411, 0.111225937240351, 0.0528973815579466, -0.0172656006589272, -0.333507701412037, -0.51582418674279, 0.263345617030681, 0.281296256557225, 0.26778147956474, 0.209125484679823, 0.227731092306558, 0.0119787915130676, -0.0855928587190413, -0.231094017015692, -0.49946750344054, -0.724547231001533, 0.261202365292831, 0.263344185687322, 0.274042281283617, 0.31235720076802, 0.152575420645921, 0.0586346497930655, -0.208118418493266, -0.300176865428757, -0.572011246130937, -0.867014961016824, 0.207182117881199, 0.187504773770661, 0.227859798697281, 0.0876748849031693, -0.074011124490353, -0.0722607424692266, -0.199260002852398, -0.324709183750634, -0.652605030305093, -0.928474061712541, 0.0704665745358081, 0.189763444301467, 0.1797148522205, 0.216438462692384, 0.0885058992169011, 0.0413384176401307, -0.139121526422648, -0.230019880707007, -0.415362214870451, -0.680289378514446, 0.110546077680998, 0.179598820432705, 0.118933698439575, 0.15998987130072, 0.0128737748028846, -0.00809367314814648, -0.0682467824739403, -0.308573721946877, -0.497224174880516, -0.770628012189916, 0.333504988588006, 0.377900798957938, 0.238559533997959, 0.30534219373815, 0.115901522864967, 0.0505815357720683, -0.277809702403096, -0.35421574247303, -0.703535661391251, -0.913417589386279, 0.186906332741775, 0.188313390337573, 0.237968199976895, 0.163473713656986, 0.0489004391474799, -0.0902007052216105, -0.0901537744955909, -0.46283243867024, -0.631591964851435, -0.953825910941725, 0.0606645751711745, 0.0352077944855491, -0.0160602656639724, -0.0977833488771614, -0.227651381144725, -0.2833969735016, -0.533913186752914, -0.665994992110149, -1.01767336061695, -1.28981477144703, 0.462064994411842, 0.510665816526845, 0.483712026522668, 0.39269794153904, 0.3719218950347, 0.198781470145093, 0.0848059835305413, -0.212413230806866, -0.36732505688273, -0.717721374789404, 0.248202558469129, 0.174592480505167, 0.2903792772638, 0.134540577196287, -0.0345387455657045, -0.176754872244655, -0.428235645425204, -0.755267453681908, -1.09425460402225, -1.33635942570234, 0.210495960932679, 0.238226021720394, 0.337495331439032, 0.286851746566663, 0.290385778758796, 0.22064974987134, -0.00769744780515979, -0.19223405637808, -0.352849564090999, -0.539804794988805, 0.269110833569382, 0.335657363854869, 0.323913083932076, 0.321108708259782, 0.324694831272704, 0.045987385073191, -0.127993559817092, -0.407181046133019, -0.628965071756057, -0.832823547234913, 0.301376246265676, 0.340566074193591, 0.333978887719028, 0.295750871893494, 0.287575518904384, 0.137128026212687, 0.00396347332078731, -0.399976653312929, -0.580687222841256, -0.79519831093498, 0.172883819108295, 0.236019569707877, 0.180211750973023, 0.0722314780691529, 0.018848187323944, 0.0480760673101117, -0.225357138214492, -0.327875971942237, -0.61841340231767, -0.910658924388297, 0.551786858431498, 0.440509628438332, 0.499419147781756, 0.484649623588777, 0.385095990799373, 0.309761074894528, 0.0703188266797839, -0.0840258600157386, -0.209765002993513, -0.494870078852413, 0.289695538112184, 0.258647563389726, 0.267517519964582, 0.237550453757236, 0.143049279488365, 0.0962748604945171, -0.121779092328546, -0.224215801412296, -0.483547195456131, -0.701097970783582, 0.169947853803372, 0.135163321183464, 0.143405713514746, 0.131976627466084, 0.03127841723042, 0.034736130820094, -0.197683915573906, -0.339672344387872, -0.59231453786424, -0.808074662091825, 0.225108701975639, 0.124737110346763, 0.272671490832214, 0.134597412905939, 0.115709778227079, -0.0927998046188024, -0.223280347221722, -0.460213323405117, -0.698266377214623, -1.01168776142101, 0.221563571787536, 0.286081314842013, 0.181435561242351, 0.154504495839266, 0.0407279251861428, -0.128703380076844, -0.20165371655486, -0.613796070292907, -0.789802917906603, -1.16236012381024, 0.413745292509049, 0.505676675623728, 0.605019616929995, 0.514876702281914, 0.361579942100342, 0.18891045478885, 0.153318395354983, -0.170406970189879, -0.452632661614314, -0.76482012423774, 0.231378837386646, 0.385963331383348, 0.359317909234013, 0.295873150939231, 0.109614913802584, 0.0618333006417763, -0.0255523956328792, -0.290888684630208, -0.543867087610416, -0.781232902396171, 0.260235057150362, 0.295476242370338, 0.410968929883267, 0.257267191500895, 0.191149248444652, -0.00932945250386682, -0.214599487541895, -0.378452836168728, -0.744652109220584, -0.895457116324495, 0.231196648159138, 0.125442216373414, 0.227869097829213, 0.2058896219746, 0.241799265042443, 0.0146368426529291, -0.218863309918558, -0.361779781588124, -0.634757956757975, -0.950184336051146, 0.183184169187167, 0.133646107503462, 0.330998723713294, 0.141556986356277, 0.0502340293365368, -0.186761350515837, -0.252082806793815, -0.517942368088619, -0.857668909211413, -1.1223194425763, 0.226545821751803, 0.346480289680719, 0.270074418096732, 0.289123843622092, 0.188453254897386, 0.0145960109529511, -0.134854179864627, -0.376897977113781, -0.599602752281187, -0.924930316528068, 0.307545100107612, 0.349185516544679, 0.355685597821023, 0.451210798953369, 0.253649308036241, 0.0531416725288277, 0.0146290773380608, -0.244605244297396, -0.397612876100413, -0.742776559056496, 0.537862889782905, 0.489223933188946, 0.456007952504416, 0.535622980843722, 0.282424985579962, 0.246511533060362, 0.011481188218655, -0.0845310250469165, -0.366114049102036, -0.693105502801466, 0.333856030571304, 0.42933425019515, 0.324302772340761, 0.291837175782293, 0.264735352266761, 0.155991116308172, -0.132643486761609, -0.242157627395962, -0.554240230080893, -0.812134380694345, 0.436412799207443, 0.495860358201205, 0.471593302282124, 0.430591021253674, 0.449240329623025, 0.429857765333607, 0.27346078784271, 0.0861659472518042, -0.13165701845399, -0.32352430119822, 0.172714559709752, 0.22008014776982, 0.157278043227679, 0.0321163886091458, 0.0724736138507537, 0.0605100514692031, -0.158746495505547, -0.36542253592095, -0.659083687115813, -0.850833657444495, 0.307981462551521, 0.378551535677396, 0.434230700384067, 0.399658999806409, 0.41648261513816, 0.177642612009352, 0.0441290138524707, -0.1125902505465, -0.27523111912317, -0.420639980870321, 0.340481832802855, 0.268360206364559, 0.224122581856058, 0.262538505525114, 0.111503135472786, -0.0675605371405797, -0.23076170426784, -0.391264907434388, -0.717169171249014, -1.00252682758494, 0.142295420804649, 0.115622388103896, 0.0413512369060343, 0.102036408857489, 0.0851701303097822, -0.10319826294973, -0.219389875976912, -0.477564972506194, -0.733133862769438, -0.942001347571981, 0.282853846187235, 0.405686290525019, 0.433177418820722, 0.347447918172518, 0.315966655351127, 0.260404585885441, 0.151280948844592, -0.117112724574044, -0.33650274810985, -0.582743644931534, 0.29462473691967, 0.231021944609973, 0.231247879466856, 0.206533110784872, 0.0704547745210256, -0.00943785600414461, -0.171147214617231, -0.350686282292399, -0.561642906922518, -0.798708657334016, 0.437024182291329, 0.321378678545883, 0.409153039815225, 0.283739598588795, 0.11658391767798, 0.0110164064259715, -0.23813891108453, -0.52149074513963, -0.830963941940777, -1.08508396679105, 0.0628339516425813, 0.20911309427841, 0.164461371313967, 0.0842645546018796, 0.121348946346841, -0.0107365429936162, -0.259608799730328, -0.365961815494281, -0.564023840119063, -0.825494800696682, 0.221697893741858, 0.236406037130237, 0.164038138534692, 0.0872426655881532, -0.0618476549127703, -0.27256195506222, -0.412163454407053, -0.622232652588955, -0.837686210416519, -1.2960841979204, 0.157976651895531, 0.0688158620314319, 0.1138300805931, 0.156640833112186, -0.0212589502637342, -0.120346062687943, -0.295172231425329, -0.595286533829741, -0.805796629763973, -1.09321836017194, 0.216705145833373, 0.307801844126149, 0.290533659549255, 0.251782562132415, 0.282526262316052, 0.233047767866322, 0.0401272633904122, -0.144231590239376, -0.366808205881216, -0.5322080151186, 0.345201064438526, 0.409905028048018, 0.380818195027798, 0.333829668294092, 0.276079582592505, 0.155722963775251, -0.0654976004617074, -0.0854563385156359, -0.477378837550627, -0.639056167469296, 0.115028981086162, 0.192194644144142, 0.221997019192589, 0.178609148564787, 0.176530745569943, 0.0396108790966396, -0.0475535664201691, -0.131501236688326, -0.411973791744237, -0.789420487402974, 0.35692314639814, 0.379387352969934, 0.47588453198333, 0.367623898941387, 0.253540842914607, 0.087931563735811, -0.00152033087177717, -0.138782401043264, -0.476909796916953, -0.743906276209236, 0.178417973014158, 0.208384810224088, 0.141917309049178, 0.0863611573386252, 0.0119810394318903, -0.0437866468568208, -0.260342728948564, -0.454023621085366, -0.628574865893544, -0.949371601301065, 0.206053779577144, 0.246483609115019, 0.120580885141444, 0.067360360918006, -0.0224265135795728, -0.15071887157391, -0.380896659763286, -0.566245775187039, -0.874305454581388, -1.1219866260973, 0.34675589386081, 0.453698673030166, 0.566588486956585, 0.471987745810881, 0.407009844596593, 0.384327477113829, 0.0789713438885717, 0.0679892960541305, -0.132114688360968, -0.270080167154315, 0.120371299290361, 0.145106889439459, 0.296786131341566, 0.158667016541857, 0.0582957371714476, -0.0370290911059927, -0.245730322451961, -0.484147065727367, -0.624788257799404, -0.938132183436759, 0.286251591547957, 0.245321960120666, 0.251731922555033, 0.256530171280015, 0.0862218311842417, 0.0206662070626336, -0.119823086422496, -0.351693078681328, -0.722126993204504, -0.94548036951833, 0.212388164012886, 0.312170139934307, 0.301606344690148, 0.193041321648237, 0.178055985283522, 0.148338335530448, -0.00378580674322981, -0.140999895361903, -0.503079884571913, -0.748600236180566), Time = c(0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2), Id = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 53L, 53L, 53L, 53L, 53L, 53L, 53L, 53L, 53L, 53L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 56L, 56L, 56L, 56L, 56L, 56L, 56L, 56L, 56L, 56L, 57L, 57L, 57L, 57L, 57L, 57L, 57L, 57L, 57L, 57L, 58L, 58L, 58L, 58L, 58L, 58L, 58L, 58L, 58L, 58L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 60L, 60L, 60L, 60L, 60L, 60L, 60L, 60L, 60L, 60L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 66L, 66L, 66L, 66L, 66L, 66L, 66L, 66L, 66L, 66L, 67L, 67L, 67L, 67L, 67L, 67L, 67L, 67L, 67L, 67L, 68L, 68L, 68L, 68L, 68L, 68L, 68L, 68L, 68L, 68L, 69L, 69L, 69L, 69L, 69L, 69L, 69L, 69L, 69L, 69L, 70L, 70L, 70L, 70L, 70L, 70L, 70L, 70L, 70L, 70L, 71L, 71L, 71L, 71L, 71L, 71L, 71L, 71L, 71L, 71L, 72L, 72L, 72L, 72L, 72L, 72L, 72L, 72L, 72L, 72L, 73L, 73L, 73L, 73L, 73L, 73L, 73L, 73L, 73L, 73L, 74L, 74L, 74L, 74L, 74L, 74L, 74L, 74L, 74L, 74L, 75L, 75L, 75L, 75L, 75L, 75L, 75L, 75L, 75L, 75L, 76L, 76L, 76L, 76L, 76L, 76L, 76L, 76L, 76L, 76L, 77L, 77L, 77L, 77L, 77L, 77L, 77L, 77L, 77L, 77L, 78L, 78L, 78L, 78L, 78L, 78L, 78L, 78L, 78L, 78L, 79L, 79L, 79L, 79L, 79L, 79L, 79L, 79L, 79L, 79L, 80L, 80L, 80L, 80L, 80L, 80L, 80L, 80L, 80L, 80L, 81L, 81L, 81L, 81L, 81L, 81L, 81L, 81L, 81L, 81L, 82L, 82L, 82L, 82L, 82L, 82L, 82L, 82L, 82L, 82L, 83L, 83L, 83L, 83L, 83L, 83L, 83L, 83L, 83L, 83L, 84L, 84L, 84L, 84L, 84L, 84L, 84L, 84L, 84L, 84L, 85L, 85L, 85L, 85L, 85L, 85L, 85L, 85L, 85L, 85L, 86L, 86L, 86L, 86L, 86L, 86L, 86L, 86L, 86L, 86L, 87L, 87L, 87L, 87L, 87L, 87L, 87L, 87L, 87L, 87L, 88L, 88L, 88L, 88L, 88L, 88L, 88L, 88L, 88L, 88L, 89L, 89L, 89L, 89L, 89L, 89L, 89L, 89L, 89L, 89L, 90L, 90L, 90L, 90L, 90L, 90L, 90L, 90L, 90L, 90L, 91L, 91L, 91L, 91L, 91L, 91L, 91L, 91L, 91L, 91L, 92L, 92L, 92L, 92L, 92L, 92L, 92L, 92L, 92L, 92L, 93L, 93L, 93L, 93L, 93L, 93L, 93L, 93L, 93L, 93L, 94L, 94L, 94L, 94L, 94L, 94L, 94L, 94L, 94L, 94L, 95L, 95L, 95L, 95L, 95L, 95L, 95L, 95L, 95L, 95L, 96L, 96L, 96L, 96L, 96L, 96L, 96L, 96L, 96L, 96L, 97L, 97L, 97L, 97L, 97L, 97L, 97L, 97L, 97L, 97L, 98L, 98L, 98L, 98L, 98L, 98L, 98L, 98L, 98L, 98L, 99L, 99L, 99L, 99L, 99L, 99L, 99L, 99L, 99L, 99L, 100L, 100L, 100L, 100L, 100L, 100L, 100L, 100L, 100L, 100L, 101L, 101L, 101L, 101L, 101L, 101L, 101L, 101L, 101L, 101L, 102L, 102L, 102L, 102L, 102L, 102L, 102L, 102L, 102L, 102L, 103L, 103L, 103L, 103L, 103L, 103L, 103L, 103L, 103L, 103L, 104L, 104L, 104L, 104L, 104L, 104L, 104L, 104L, 104L, 104L, 105L, 105L, 105L, 105L, 105L, 105L, 105L, 105L, 105L, 105L, 106L, 106L, 106L, 106L, 106L, 106L, 106L, 106L, 106L, 106L, 107L, 107L, 107L, 107L, 107L, 107L, 107L, 107L, 107L, 107L, 108L, 108L, 108L, 108L, 108L, 108L, 108L, 108L, 108L, 108L, 109L, 109L, 109L, 109L, 109L, 109L, 109L, 109L, 109L, 109L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 111L, 111L, 111L, 111L, 111L, 111L, 111L, 111L, 111L, 111L, 112L, 112L, 112L, 112L, 112L, 112L, 112L, 112L, 112L, 112L, 113L, 113L, 113L, 113L, 113L, 113L, 113L, 113L, 113L, 113L, 114L, 114L, 114L, 114L, 114L, 114L, 114L, 114L, 114L, 114L, 115L, 115L, 115L, 115L, 115L, 115L, 115L, 115L, 115L, 115L, 116L, 116L, 116L, 116L, 116L, 116L, 116L, 116L, 116L, 116L, 117L, 117L, 117L, 117L, 117L, 117L, 117L, 117L, 117L, 117L, 118L, 118L, 118L, 118L, 118L, 118L, 118L, 118L, 118L, 118L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 120L, 120L, 120L, 120L, 120L, 120L, 120L, 120L, 120L, 120L, 121L, 121L, 121L, 121L, 121L, 121L, 121L, 121L, 121L, 121L, 122L, 122L, 122L, 122L, 122L, 122L, 122L, 122L, 122L, 122L, 123L, 123L, 123L, 123L, 123L, 123L, 123L, 123L, 123L, 123L, 124L, 124L, 124L, 124L, 124L, 124L, 124L, 124L, 124L, 124L, 125L, 125L, 125L, 125L, 125L, 125L, 125L, 125L, 125L, 125L, 126L, 126L, 126L, 126L, 126L, 126L, 126L, 126L, 126L, 126L, 127L, 127L, 127L, 127L, 127L, 127L, 127L, 127L, 127L, 127L, 128L, 128L, 128L, 128L, 128L, 128L, 128L, 128L, 128L, 128L, 129L, 129L, 129L, 129L, 129L, 129L, 129L, 129L, 129L, 129L, 130L, 130L, 130L, 130L, 130L, 130L, 130L, 130L, 130L, 130L, 131L, 131L, 131L, 131L, 131L, 131L, 131L, 131L, 131L, 131L, 132L, 132L, 132L, 132L, 132L, 132L, 132L, 132L, 132L, 132L, 133L, 133L, 133L, 133L, 133L, 133L, 133L, 133L, 133L, 133L, 134L, 134L, 134L, 134L, 134L, 134L, 134L, 134L, 134L, 134L, 135L, 135L, 135L, 135L, 135L, 135L, 135L, 135L, 135L, 135L, 136L, 136L, 136L, 136L, 136L, 136L, 136L, 136L, 136L, 136L, 137L, 137L, 137L, 137L, 137L, 137L, 137L, 137L, 137L, 137L, 138L, 138L, 138L, 138L, 138L, 138L, 138L, 138L, 138L, 138L, 139L, 139L, 139L, 139L, 139L, 139L, 139L, 139L, 139L, 139L, 140L, 140L, 140L, 140L, 140L, 140L, 140L, 140L, 140L, 140L, 141L, 141L, 141L, 141L, 141L, 141L, 141L, 141L, 141L, 141L, 142L, 142L, 142L, 142L, 142L, 142L, 142L, 142L, 142L, 142L, 143L, 143L, 143L, 143L, 143L, 143L, 143L, 143L, 143L, 143L, 144L, 144L, 144L, 144L, 144L, 144L, 144L, 144L, 144L, 144L, 145L, 145L, 145L, 145L, 145L, 145L, 145L, 145L, 145L, 145L, 146L, 146L, 146L, 146L, 146L, 146L, 146L, 146L, 146L, 146L, 147L, 147L, 147L, 147L, 147L, 147L, 147L, 147L, 147L, 147L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 149L, 149L, 149L, 149L, 149L, 149L, 149L, 149L, 149L, 149L, 150L, 150L, 150L, 150L, 150L, 150L, 150L, 150L, 150L, 150L, 151L, 151L, 151L, 151L, 151L, 151L, 151L, 151L, 151L, 151L, 152L, 152L, 152L, 152L, 152L, 152L, 152L, 152L, 152L, 152L, 153L, 153L, 153L, 153L, 153L, 153L, 153L, 153L, 153L, 153L, 154L, 154L, 154L, 154L, 154L, 154L, 154L, 154L, 154L, 154L, 155L, 155L, 155L, 155L, 155L, 155L, 155L, 155L, 155L, 155L, 156L, 156L, 156L, 156L, 156L, 156L, 156L, 156L, 156L, 156L, 157L, 157L, 157L, 157L, 157L, 157L, 157L, 157L, 157L, 157L, 158L, 158L, 158L, 158L, 158L, 158L, 158L, 158L, 158L, 158L, 159L, 159L, 159L, 159L, 159L, 159L, 159L, 159L, 159L, 159L, 160L, 160L, 160L, 160L, 160L, 160L, 160L, 160L, 160L, 160L, 161L, 161L, 161L, 161L, 161L, 161L, 161L, 161L, 161L, 161L, 162L, 162L, 162L, 162L, 162L, 162L, 162L, 162L, 162L, 162L, 163L, 163L, 163L, 163L, 163L, 163L, 163L, 163L, 163L, 163L, 164L, 164L, 164L, 164L, 164L, 164L, 164L, 164L, 164L, 164L, 165L, 165L, 165L, 165L, 165L, 165L, 165L, 165L, 165L, 165L, 166L, 166L, 166L, 166L, 166L, 166L, 166L, 166L, 166L, 166L, 167L, 167L, 167L, 167L, 167L, 167L, 167L, 167L, 167L, 167L, 168L, 168L, 168L, 168L, 168L, 168L, 168L, 168L, 168L, 168L, 169L, 169L, 169L, 169L, 169L, 169L, 169L, 169L, 169L, 169L, 170L, 170L, 170L, 170L, 170L, 170L, 170L, 170L, 170L, 170L, 171L, 171L, 171L, 171L, 171L, 171L, 171L, 171L, 171L, 171L, 172L, 172L, 172L, 172L, 172L, 172L, 172L, 172L, 172L, 172L, 173L, 173L, 173L, 173L, 173L, 173L, 173L, 173L, 173L, 173L, 174L, 174L, 174L, 174L, 174L, 174L, 174L, 174L, 174L, 174L, 175L, 175L, 175L, 175L, 175L, 175L, 175L, 175L, 175L, 175L, 176L, 176L, 176L, 176L, 176L, 176L, 176L, 176L, 176L, 176L, 177L, 177L, 177L, 177L, 177L, 177L, 177L, 177L, 177L, 177L, 178L, 178L, 178L, 178L, 178L, 178L, 178L, 178L, 178L, 178L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 180L, 180L, 180L, 180L, 180L, 180L, 180L, 180L, 180L, 180L, 181L, 181L, 181L, 181L, 181L, 181L, 181L, 181L, 181L, 181L, 182L, 182L, 182L, 182L, 182L, 182L, 182L, 182L, 182L, 182L, 183L, 183L, 183L, 183L, 183L, 183L, 183L, 183L, 183L, 183L, 184L, 184L, 184L, 184L, 184L, 184L, 184L, 184L, 184L, 184L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 186L, 186L, 186L, 186L, 186L, 186L, 186L, 186L, 186L, 186L, 187L, 187L, 187L, 187L, 187L, 187L, 187L, 187L, 187L, 187L, 188L, 188L, 188L, 188L, 188L, 188L, 188L, 188L, 188L, 188L, 189L, 189L, 189L, 189L, 189L, 189L, 189L, 189L, 189L, 189L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 191L, 191L, 191L, 191L, 191L, 191L, 191L, 191L, 191L, 191L, 192L, 192L, 192L, 192L, 192L, 192L, 192L, 192L, 192L, 192L, 193L, 193L, 193L, 193L, 193L, 193L, 193L, 193L, 193L, 193L, 194L, 194L, 194L, 194L, 194L, 194L, 194L, 194L, 194L, 194L, 195L, 195L, 195L, 195L, 195L, 195L, 195L, 195L, 195L, 195L, 196L, 196L, 196L, 196L, 196L, 196L, 196L, 196L, 196L, 196L, 197L, 197L, 197L, 197L, 197L, 197L, 197L, 197L, 197L, 197L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 199L, 199L, 199L, 199L, 199L, 199L, 199L, 199L, 199L, 199L, 200L, 200L, 200L, 200L, 200L, 200L, 200L, 200L, 200L, 200L)), X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), reTrms = list(Zt = new("dgCMatrix", i = c(0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 2L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 4L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 6L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 8L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 10L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 12L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 14L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 16L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 18L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 20L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 22L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 24L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 26L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 28L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 30L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 32L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 34L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 36L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 38L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 40L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 42L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 44L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 46L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 48L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 50L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 52L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 54L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 56L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 58L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 60L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 62L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 64L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 66L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 68L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 70L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 72L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 74L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 76L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 78L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 80L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 82L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 84L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 86L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 88L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 90L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 92L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 94L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 96L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 98L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 100L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 102L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 104L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 106L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 108L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 110L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 112L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 114L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 116L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 118L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 120L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 122L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 124L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 126L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 128L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 130L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 132L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 134L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 136L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 138L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 140L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 142L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 144L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 146L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 148L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 150L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 152L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 154L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 156L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 158L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 160L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 162L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 164L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 166L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 168L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 170L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 172L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 174L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 176L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 178L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 180L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 182L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 184L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 186L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 188L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 190L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 192L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 194L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 196L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 198L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 200L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 202L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 204L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 206L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 208L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 210L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 212L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 214L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 216L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 218L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 220L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 222L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 224L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 226L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 228L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 230L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 232L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 234L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 236L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 238L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 240L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 242L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 244L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 246L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 248L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 250L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 252L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 254L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 256L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 258L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 260L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 262L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 264L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 266L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 268L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 270L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 272L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 274L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 276L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 278L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 280L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 282L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 284L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 286L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 288L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 290L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 292L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 294L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 296L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 298L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 300L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 302L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 304L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 306L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 308L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 310L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 312L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 314L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 316L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 318L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 320L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 322L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 324L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 326L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 328L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 330L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 332L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 334L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 336L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 338L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 340L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 342L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 344L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 346L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 348L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 350L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 352L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 354L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 356L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 358L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 360L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 362L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 364L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 366L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 368L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 370L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 372L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 374L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 376L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 378L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 380L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 382L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 384L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 386L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 388L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 390L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 392L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 394L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 396L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 398L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L), p = c(0L, 1L, 3L, 5L, 7L, 9L, 11L, 13L, 15L, 17L, 19L, 20L, 22L, 24L, 26L, 28L, 30L, 32L, 34L, 36L, 38L, 39L, 41L, 43L, 45L, 47L, 49L, 51L, 53L, 55L, 57L, 58L, 60L, 62L, 64L, 66L, 68L, 70L, 72L, 74L, 76L, 77L, 79L, 81L, 83L, 85L, 87L, 89L, 91L, 93L, 95L, 96L, 98L, 100L, 102L, 104L, 106L, 108L, 110L, 112L, 114L, 115L, 117L, 119L, 121L, 123L, 125L, 127L, 129L, 131L, 133L, 134L, 136L, 138L, 140L, 142L, 144L, 146L, 148L, 150L, 152L, 153L, 155L, 157L, 159L, 161L, 163L, 165L, 167L, 169L, 171L, 172L, 174L, 176L, 178L, 180L, 182L, 184L, 186L, 188L, 190L, 191L, 193L, 195L, 197L, 199L, 201L, 203L, 205L, 207L, 209L, 210L, 212L, 214L, 216L, 218L, 220L, 222L, 224L, 226L, 228L, 229L, 231L, 233L, 235L, 237L, 239L, 241L, 243L, 245L, 247L, 248L, 250L, 252L, 254L, 256L, 258L, 260L, 262L, 264L, 266L, 267L, 269L, 271L, 273L, 275L, 277L, 279L, 281L, 283L, 285L, 286L, 288L, 290L, 292L, 294L, 296L, 298L, 300L, 302L, 304L, 305L, 307L, 309L, 311L, 313L, 315L, 317L, 319L, 321L, 323L, 324L, 326L, 328L, 330L, 332L, 334L, 336L, 338L, 340L, 342L, 343L, 345L, 347L, 349L, 351L, 353L, 355L, 357L, 359L, 361L, 362L, 364L, 366L, 368L, 370L, 372L, 374L, 376L, 378L, 380L, 381L, 383L, 385L, 387L, 389L, 391L, 393L, 395L, 397L, 399L, 400L, 402L, 404L, 406L, 408L, 410L, 412L, 414L, 416L, 418L, 419L, 421L, 423L, 425L, 427L, 429L, 431L, 433L, 435L, 437L, 438L, 440L, 442L, 444L, 446L, 448L, 450L, 452L, 454L, 456L, 457L, 459L, 461L, 463L, 465L, 467L, 469L, 471L, 473L, 475L, 476L, 478L, 480L, 482L, 484L, 486L, 488L, 490L, 492L, 494L, 495L, 497L, 499L, 501L, 503L, 505L, 507L, 509L, 511L, 513L, 514L, 516L, 518L, 520L, 522L, 524L, 526L, 528L, 530L, 532L, 533L, 535L, 537L, 539L, 541L, 543L, 545L, 547L, 549L, 551L, 552L, 554L, 556L, 558L, 560L, 562L, 564L, 566L, 568L, 570L, 571L, 573L, 575L, 577L, 579L, 581L, 583L, 585L, 587L, 589L, 590L, 592L, 594L, 596L, 598L, 600L, 602L, 604L, 606L, 608L, 609L, 611L, 613L, 615L, 617L, 619L, 621L, 623L, 625L, 627L, 628L, 630L, 632L, 634L, 636L, 638L, 640L, 642L, 644L, 646L, 647L, 649L, 651L, 653L, 655L, 657L, 659L, 661L, 663L, 665L, 666L, 668L, 670L, 672L, 674L, 676L, 678L, 680L, 682L, 684L, 685L, 687L, 689L, 691L, 693L, 695L, 697L, 699L, 701L, 703L, 704L, 706L, 708L, 710L, 712L, 714L, 716L, 718L, 720L, 722L, 723L, 725L, 727L, 729L, 731L, 733L, 735L, 737L, 739L, 741L, 742L, 744L, 746L, 748L, 750L, 752L, 754L, 756L, 758L, 760L, 761L, 763L, 765L, 767L, 769L, 771L, 773L, 775L, 777L, 779L, 780L, 782L, 784L, 786L, 788L, 790L, 792L, 794L, 796L, 798L, 799L, 801L, 803L, 805L, 807L, 809L, 811L, 813L, 815L, 817L, 818L, 820L, 822L, 824L, 826L, 828L, 830L, 832L, 834L, 836L, 837L, 839L, 841L, 843L, 845L, 847L, 849L, 851L, 853L, 855L, 856L, 858L, 860L, 862L, 864L, 866L, 868L, 870L, 872L, 874L, 875L, 877L, 879L, 881L, 883L, 885L, 887L, 889L, 891L, 893L, 894L, 896L, 898L, 900L, 902L, 904L, 906L, 908L, 910L, 912L, 913L, 915L, 917L, 919L, 921L, 923L, 925L, 927L, 929L, 931L, 932L, 934L, 936L, 938L, 940L, 942L, 944L, 946L, 948L, 950L, 951L, 953L, 955L, 957L, 959L, 961L, 963L, 965L, 967L, 969L, 970L, 972L, 974L, 976L, 978L, 980L, 982L, 984L, 986L, 988L, 989L, 991L, 993L, 995L, 997L, 999L, 1001L, 1003L, 1005L, 1007L, 1008L, 1010L, 1012L, 1014L, 1016L, 1018L, 1020L, 1022L, 1024L, 1026L, 1027L, 1029L, 1031L, 1033L, 1035L, 1037L, 1039L, 1041L, 1043L, 1045L, 1046L, 1048L, 1050L, 1052L, 1054L, 1056L, 1058L, 1060L, 1062L, 1064L, 1065L, 1067L, 1069L, 1071L, 1073L, 1075L, 1077L, 1079L, 1081L, 1083L, 1084L, 1086L, 1088L, 1090L, 1092L, 1094L, 1096L, 1098L, 1100L, 1102L, 1103L, 1105L, 1107L, 1109L, 1111L, 1113L, 1115L, 1117L, 1119L, 1121L, 1122L, 1124L, 1126L, 1128L, 1130L, 1132L, 1134L, 1136L, 1138L, 1140L, 1141L, 1143L, 1145L, 1147L, 1149L, 1151L, 1153L, 1155L, 1157L, 1159L, 1160L, 1162L, 1164L, 1166L, 1168L, 1170L, 1172L, 1174L, 1176L, 1178L, 1179L, 1181L, 1183L, 1185L, 1187L, 1189L, 1191L, 1193L, 1195L, 1197L, 1198L, 1200L, 1202L, 1204L, 1206L, 1208L, 1210L, 1212L, 1214L, 1216L, 1217L, 1219L, 1221L, 1223L, 1225L, 1227L, 1229L, 1231L, 1233L, 1235L, 1236L, 1238L, 1240L, 1242L, 1244L, 1246L, 1248L, 1250L, 1252L, 1254L, 1255L, 1257L, 1259L, 1261L, 1263L, 1265L, 1267L, 1269L, 1271L, 1273L, 1274L, 1276L, 1278L, 1280L, 1282L, 1284L, 1286L, 1288L, 1290L, 1292L, 1293L, 1295L, 1297L, 1299L, 1301L, 1303L, 1305L, 1307L, 1309L, 1311L, 1312L, 1314L, 1316L, 1318L, 1320L, 1322L, 1324L, 1326L, 1328L, 1330L, 1331L, 1333L, 1335L, 1337L, 1339L, 1341L, 1343L, 1345L, 1347L, 1349L, 1350L, 1352L, 1354L, 1356L, 1358L, 1360L, 1362L, 1364L, 1366L, 1368L, 1369L, 1371L, 1373L, 1375L, 1377L, 1379L, 1381L, 1383L, 1385L, 1387L, 1388L, 1390L, 1392L, 1394L, 1396L, 1398L, 1400L, 1402L, 1404L, 1406L, 1407L, 1409L, 1411L, 1413L, 1415L, 1417L, 1419L, 1421L, 1423L, 1425L, 1426L, 1428L, 1430L, 1432L, 1434L, 1436L, 1438L, 1440L, 1442L, 1444L, 1445L, 1447L, 1449L, 1451L, 1453L, 1455L, 1457L, 1459L, 1461L, 1463L, 1464L, 1466L, 1468L, 1470L, 1472L, 1474L, 1476L, 1478L, 1480L, 1482L, 1483L, 1485L, 1487L, 1489L, 1491L, 1493L, 1495L, 1497L, 1499L, 1501L, 1502L, 1504L, 1506L, 1508L, 1510L, 1512L, 1514L, 1516L, 1518L, 1520L, 1521L, 1523L, 1525L, 1527L, 1529L, 1531L, 1533L, 1535L, 1537L, 1539L, 1540L, 1542L, 1544L, 1546L, 1548L, 1550L, 1552L, 1554L, 1556L, 1558L, 1559L, 1561L, 1563L, 1565L, 1567L, 1569L, 1571L, 1573L, 1575L, 1577L, 1578L, 1580L, 1582L, 1584L, 1586L, 1588L, 1590L, 1592L, 1594L, 1596L, 1597L, 1599L, 1601L, 1603L, 1605L, 1607L, 1609L, 1611L, 1613L, 1615L, 1616L, 1618L, 1620L, 1622L, 1624L, 1626L, 1628L, 1630L, 1632L, 1634L, 1635L, 1637L, 1639L, 1641L, 1643L, 1645L, 1647L, 1649L, 1651L, 1653L, 1654L, 1656L, 1658L, 1660L, 1662L, 1664L, 1666L, 1668L, 1670L, 1672L, 1673L, 1675L, 1677L, 1679L, 1681L, 1683L, 1685L, 1687L, 1689L, 1691L, 1692L, 1694L, 1696L, 1698L, 1700L, 1702L, 1704L, 1706L, 1708L, 1710L, 1711L, 1713L, 1715L, 1717L, 1719L, 1721L, 1723L, 1725L, 1727L, 1729L, 1730L, 1732L, 1734L, 1736L, 1738L, 1740L, 1742L, 1744L, 1746L, 1748L, 1749L, 1751L, 1753L, 1755L, 1757L, 1759L, 1761L, 1763L, 1765L, 1767L, 1768L, 1770L, 1772L, 1774L, 1776L, 1778L, 1780L, 1782L, 1784L, 1786L, 1787L, 1789L, 1791L, 1793L, 1795L, 1797L, 1799L, 1801L, 1803L, 1805L, 1806L, 1808L, 1810L, 1812L, 1814L, 1816L, 1818L, 1820L, 1822L, 1824L, 1825L, 1827L, 1829L, 1831L, 1833L, 1835L, 1837L, 1839L, 1841L, 1843L, 1844L, 1846L, 1848L, 1850L, 1852L, 1854L, 1856L, 1858L, 1860L, 1862L, 1863L, 1865L, 1867L, 1869L, 1871L, 1873L, 1875L, 1877L, 1879L, 1881L, 1882L, 1884L, 1886L, 1888L, 1890L, 1892L, 1894L, 1896L, 1898L, 1900L, 1901L, 1903L, 1905L, 1907L, 1909L, 1911L, 1913L, 1915L, 1917L, 1919L, 1920L, 1922L, 1924L, 1926L, 1928L, 1930L, 1932L, 1934L, 1936L, 1938L, 1939L, 1941L, 1943L, 1945L, 1947L, 1949L, 1951L, 1953L, 1955L, 1957L, 1958L, 1960L, 1962L, 1964L, 1966L, 1968L, 1970L, 1972L, 1974L, 1976L, 1977L, 1979L, 1981L, 1983L, 1985L, 1987L, 1989L, 1991L, 1993L, 1995L, 1996L, 1998L, 2000L, 2002L, 2004L, 2006L, 2008L, 2010L, 2012L, 2014L, 2015L, 2017L, 2019L, 2021L, 2023L, 2025L, 2027L, 2029L, 2031L, 2033L, 2034L, 2036L, 2038L, 2040L, 2042L, 2044L, 2046L, 2048L, 2050L, 2052L, 2053L, 2055L, 2057L, 2059L, 2061L, 2063L, 2065L, 2067L, 2069L, 2071L, 2072L, 2074L, 2076L, 2078L, 2080L, 2082L, 2084L, 2086L, 2088L, 2090L, 2091L, 2093L, 2095L, 2097L, 2099L, 2101L, 2103L, 2105L, 2107L, 2109L, 2110L, 2112L, 2114L, 2116L, 2118L, 2120L, 2122L, 2124L, 2126L, 2128L, 2129L, 2131L, 2133L, 2135L, 2137L, 2139L, 2141L, 2143L, 2145L, 2147L, 2148L, 2150L, 2152L, 2154L, 2156L, 2158L, 2160L, 2162L, 2164L, 2166L, 2167L, 2169L, 2171L, 2173L, 2175L, 2177L, 2179L, 2181L, 2183L, 2185L, 2186L, 2188L, 2190L, 2192L, 2194L, 2196L, 2198L, 2200L, 2202L, 2204L, 2205L, 2207L, 2209L, 2211L, 2213L, 2215L, 2217L, 2219L, 2221L, 2223L, 2224L, 2226L, 2228L, 2230L, 2232L, 2234L, 2236L, 2238L, 2240L, 2242L, 2243L, 2245L, 2247L, 2249L, 2251L, 2253L, 2255L, 2257L, 2259L, 2261L, 2262L, 2264L, 2266L, 2268L, 2270L, 2272L, 2274L, 2276L, 2278L, 2280L, 2281L, 2283L, 2285L, 2287L, 2289L, 2291L, 2293L, 2295L, 2297L, 2299L, 2300L, 2302L, 2304L, 2306L, 2308L, 2310L, 2312L, 2314L, 2316L, 2318L, 2319L, 2321L, 2323L, 2325L, 2327L, 2329L, 2331L, 2333L, 2335L, 2337L, 2338L, 2340L, 2342L, 2344L, 2346L, 2348L, 2350L, 2352L, 2354L, 2356L, 2357L, 2359L, 2361L, 2363L, 2365L, 2367L, 2369L, 2371L, 2373L, 2375L, 2376L, 2378L, 2380L, 2382L, 2384L, 2386L, 2388L, 2390L, 2392L, 2394L, 2395L, 2397L, 2399L, 2401L, 2403L, 2405L, 2407L, 2409L, 2411L, 2413L, 2414L, 2416L, 2418L, 2420L, 2422L, 2424L, 2426L, 2428L, 2430L, 2432L, 2433L, 2435L, 2437L, 2439L, 2441L, 2443L, 2445L, 2447L, 2449L, 2451L, 2452L, 2454L, 2456L, 2458L, 2460L, 2462L, 2464L, 2466L, 2468L, 2470L, 2471L, 2473L, 2475L, 2477L, 2479L, 2481L, 2483L, 2485L, 2487L, 2489L, 2490L, 2492L, 2494L, 2496L, 2498L, 2500L, 2502L, 2504L, 2506L, 2508L, 2509L, 2511L, 2513L, 2515L, 2517L, 2519L, 2521L, 2523L, 2525L, 2527L, 2528L, 2530L, 2532L, 2534L, 2536L, 2538L, 2540L, 2542L, 2544L, 2546L, 2547L, 2549L, 2551L, 2553L, 2555L, 2557L, 2559L, 2561L, 2563L, 2565L, 2566L, 2568L, 2570L, 2572L, 2574L, 2576L, 2578L, 2580L, 2582L, 2584L, 2585L, 2587L, 2589L, 2591L, 2593L, 2595L, 2597L, 2599L, 2601L, 2603L, 2604L, 2606L, 2608L, 2610L, 2612L, 2614L, 2616L, 2618L, 2620L, 2622L, 2623L, 2625L, 2627L, 2629L, 2631L, 2633L, 2635L, 2637L, 2639L, 2641L, 2642L, 2644L, 2646L, 2648L, 2650L, 2652L, 2654L, 2656L, 2658L, 2660L, 2661L, 2663L, 2665L, 2667L, 2669L, 2671L, 2673L, 2675L, 2677L, 2679L, 2680L, 2682L, 2684L, 2686L, 2688L, 2690L, 2692L, 2694L, 2696L, 2698L, 2699L, 2701L, 2703L, 2705L, 2707L, 2709L, 2711L, 2713L, 2715L, 2717L, 2718L, 2720L, 2722L, 2724L, 2726L, 2728L, 2730L, 2732L, 2734L, 2736L, 2737L, 2739L, 2741L, 2743L, 2745L, 2747L, 2749L, 2751L, 2753L, 2755L, 2756L, 2758L, 2760L, 2762L, 2764L, 2766L, 2768L, 2770L, 2772L, 2774L, 2775L, 2777L, 2779L, 2781L, 2783L, 2785L, 2787L, 2789L, 2791L, 2793L, 2794L, 2796L, 2798L, 2800L, 2802L, 2804L, 2806L, 2808L, 2810L, 2812L, 2813L, 2815L, 2817L, 2819L, 2821L, 2823L, 2825L, 2827L, 2829L, 2831L, 2832L, 2834L, 2836L, 2838L, 2840L, 2842L, 2844L, 2846L, 2848L, 2850L, 2851L, 2853L, 2855L, 2857L, 2859L, 2861L, 2863L, 2865L, 2867L, 2869L, 2870L, 2872L, 2874L, 2876L, 2878L, 2880L, 2882L, 2884L, 2886L, 2888L, 2889L, 2891L, 2893L, 2895L, 2897L, 2899L, 2901L, 2903L, 2905L, 2907L, 2908L, 2910L, 2912L, 2914L, 2916L, 2918L, 2920L, 2922L, 2924L, 2926L, 2927L, 2929L, 2931L, 2933L, 2935L, 2937L, 2939L, 2941L, 2943L, 2945L, 2946L, 2948L, 2950L, 2952L, 2954L, 2956L, 2958L, 2960L, 2962L, 2964L, 2965L, 2967L, 2969L, 2971L, 2973L, 2975L, 2977L, 2979L, 2981L, 2983L, 2984L, 2986L, 2988L, 2990L, 2992L, 2994L, 2996L, 2998L, 3000L, 3002L, 3003L, 3005L, 3007L, 3009L, 3011L, 3013L, 3015L, 3017L, 3019L, 3021L, 3022L, 3024L, 3026L, 3028L, 3030L, 3032L, 3034L, 3036L, 3038L, 3040L, 3041L, 3043L, 3045L, 3047L, 3049L, 3051L, 3053L, 3055L, 3057L, 3059L, 3060L, 3062L, 3064L, 3066L, 3068L, 3070L, 3072L, 3074L, 3076L, 3078L, 3079L, 3081L, 3083L, 3085L, 3087L, 3089L, 3091L, 3093L, 3095L, 3097L, 3098L, 3100L, 3102L, 3104L, 3106L, 3108L, 3110L, 3112L, 3114L, 3116L, 3117L, 3119L, 3121L, 3123L, 3125L, 3127L, 3129L, 3131L, 3133L, 3135L, 3136L, 3138L, 3140L, 3142L, 3144L, 3146L, 3148L, 3150L, 3152L, 3154L, 3155L, 3157L, 3159L, 3161L, 3163L, 3165L, 3167L, 3169L, 3171L, 3173L, 3174L, 3176L, 3178L, 3180L, 3182L, 3184L, 3186L, 3188L, 3190L, 3192L, 3193L, 3195L, 3197L, 3199L, 3201L, 3203L, 3205L, 3207L, 3209L, 3211L, 3212L, 3214L, 3216L, 3218L, 3220L, 3222L, 3224L, 3226L, 3228L, 3230L, 3231L, 3233L, 3235L, 3237L, 3239L, 3241L, 3243L, 3245L, 3247L, 3249L, 3250L, 3252L, 3254L, 3256L, 3258L, 3260L, 3262L, 3264L, 3266L, 3268L, 3269L, 3271L, 3273L, 3275L, 3277L, 3279L, 3281L, 3283L, 3285L, 3287L, 3288L, 3290L, 3292L, 3294L, 3296L, 3298L, 3300L, 3302L, 3304L, 3306L, 3307L, 3309L, 3311L, 3313L, 3315L, 3317L, 3319L, 3321L, 3323L, 3325L, 3326L, 3328L, 3330L, 3332L, 3334L, 3336L, 3338L, 3340L, 3342L, 3344L, 3345L, 3347L, 3349L, 3351L, 3353L, 3355L, 3357L, 3359L, 3361L, 3363L, 3364L, 3366L, 3368L, 3370L, 3372L, 3374L, 3376L, 3378L, 3380L, 3382L, 3383L, 3385L, 3387L, 3389L, 3391L, 3393L, 3395L, 3397L, 3399L, 3401L, 3402L, 3404L, 3406L, 3408L, 3410L, 3412L, 3414L, 3416L, 3418L, 3420L, 3421L, 3423L, 3425L, 3427L, 3429L, 3431L, 3433L, 3435L, 3437L, 3439L, 3440L, 3442L, 3444L, 3446L, 3448L, 3450L, 3452L, 3454L, 3456L, 3458L, 3459L, 3461L, 3463L, 3465L, 3467L, 3469L, 3471L, 3473L, 3475L, 3477L, 3478L, 3480L, 3482L, 3484L, 3486L, 3488L, 3490L, 3492L, 3494L, 3496L, 3497L, 3499L, 3501L, 3503L, 3505L, 3507L, 3509L, 3511L, 3513L, 3515L, 3516L, 3518L, 3520L, 3522L, 3524L, 3526L, 3528L, 3530L, 3532L, 3534L, 3535L, 3537L, 3539L, 3541L, 3543L, 3545L, 3547L, 3549L, 3551L, 3553L, 3554L, 3556L, 3558L, 3560L, 3562L, 3564L, 3566L, 3568L, 3570L, 3572L, 3573L, 3575L, 3577L, 3579L, 3581L, 3583L, 3585L, 3587L, 3589L, 3591L, 3592L, 3594L, 3596L, 3598L, 3600L, 3602L, 3604L, 3606L, 3608L, 3610L, 3611L, 3613L, 3615L, 3617L, 3619L, 3621L, 3623L, 3625L, 3627L, 3629L, 3630L, 3632L, 3634L, 3636L, 3638L, 3640L, 3642L, 3644L, 3646L, 3648L, 3649L, 3651L, 3653L, 3655L, 3657L, 3659L, 3661L, 3663L, 3665L, 3667L, 3668L, 3670L, 3672L, 3674L, 3676L, 3678L, 3680L, 3682L, 3684L, 3686L, 3687L, 3689L, 3691L, 3693L, 3695L, 3697L, 3699L, 3701L, 3703L, 3705L, 3706L, 3708L, 3710L, 3712L, 3714L, 3716L, 3718L, 3720L, 3722L, 3724L, 3725L, 3727L, 3729L, 3731L, 3733L, 3735L, 3737L, 3739L, 3741L, 3743L, 3744L, 3746L, 3748L, 3750L, 3752L, 3754L, 3756L, 3758L, 3760L, 3762L, 3763L, 3765L, 3767L, 3769L, 3771L, 3773L, 3775L, 3777L, 3779L, 3781L, 3782L, 3784L, 3786L, 3788L, 3790L, 3792L, 3794L, 3796L, 3798L, 3800L), Dim = c(400L, 2000L), Dimnames = list(c("1", "1", "2", "2", "3", "3", "4", "4", "5", "5", "6", "6", "7", "7", "8", "8", "9", "9", "10", "10", "11", "11", "12", "12", "13", "13", "14", "14", "15", "15", "16", "16", "17", "17", "18", "18", "19", "19", "20", "20", "21", "21", "22", "22", "23", "23", "24", "24", "25", "25", "26", "26", "27", "27", "28", "28", "29", "29", "30", "30", "31", "31", "32", "32", "33", "33", "34", "34", "35", "35", "36", "36", "37", "37", "38", "38", "39", "39", "40", "40", "41", "41", "42", "42", "43", "43", "44", "44", "45", "45", "46", "46", "47", "47", "48", "48", "49", "49", "50", "50", "51", "51", "52", "52", "53", "53", "54", "54", "55", "55", "56", "56", "57", "57", "58", "58", "59", "59", "60", "60", "61", "61", "62", "62", "63", "63", "64", "64", "65", "65", "66", "66", "67", "67", "68", "68", "69", "69", "70", "70", "71", "71", "72", "72", "73", "73", "74", "74", "75", "75", "76", "76", "77", "77", "78", "78", "79", "79", "80", "80", "81", "81", "82", "82", "83", "83", "84", "84", "85", "85", "86", "86", "87", "87", "88", "88", "89", "89", "90", "90", "91", "91", "92", "92", "93", "93", "94", "94", "95", "95", "96", "96", "97", "97", "98", "98", "99", "99", "100", "100", "101", "101", "102", "102", "103", "103", "104", "104", "105", "105", "106", "106", "107", "107", "108", "108", "109", "109", "110", "110", "111", "111", "112", "112", "113", "113", "114", "114", "115", "115", "116", "116", "117", "117", "118", "118", "119", "119", "120", "120", "121", "121", "122", "122", "123", "123", "124", "124", "125", "125", "126", "126", "127", "127", "128", "128", "129", "129", "130", "130", "131", "131", "132", "132", "133", "133", "134", "134", "135", "135", "136", "136", "137", "137", "138", "138", "139", "139", "140", "140", "141", "141", "142", "142", "143", "143", "144", "144", "145", "145", "146", "146", "147", "147", "148", "148", "149", "149", "150", "150", "151", "151", "152", "152", "153", "153", "154", "154", "155", "155", "156", "156", "157", "157", "158", "158", "159", "159", "160", "160", "161", "161", "162", "162", "163", "163", "164", "164", "165", "165", "166", "166", "167", "167", "168", "168", "169", "169", "170", "170", "171", "171", "172", "172", "173", "173", "174", "174", "175", "175", "176", "176", "177", "177", "178", "178", "179", "179", "180", "180", "181", "181", "182", "182", "183", "183", "184", "184", "185", "185", "186", "186", "187", "187", "188", "188", "189", "189", "190", "190", "191", "191", "192", "192", "193", "193", "194", "194", "195", "195", "196", "196", "197", "197", "198", "198", "199", "199", "200", "200"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180", "181", "182", "183", "184", "185", "186", "187", "188", "189", "190", "191", "192", "193", "194", "195", "196", "197", "198", "199", "200", "201", "202", "203", "204", "205", "206", "207", "208", "209", "210", "211", "212", "213", "214", "215", "216", "217", "218", "219", "220", "221", "222", "223", "224", "225", "226", "227", "228", "229", "230", "231", "232", "233", "234", "235", "236", "237", "238", "239", "240", "241", "242", "243", "244", "245", "246", "247", "248", "249", "250", "251", "252", "253", "254", "255", "256", "257", "258", "259", "260", "261", "262", "263", "264", "265", "266", "267", "268", "269", "270", "271", "272", "273", "274", "275", "276", "277", "278", "279", "280", "281", "282", "283", "284", "285", "286", "287", "288", "289", "290", "291", "292", "293", "294", "295", "296", "297", "298", "299", "300", "301", "302", "303", "304", "305", "306", "307", "308", "309", "310", "311", "312", "313", "314", "315", "316", "317", "318", "319", "320", "321", "322", "323", "324", "325", "326", "327", "328", "329", "330", "331", "332", "333", "334", "335", "336", "337", "338", "339", "340", "341", "342", "343", "344", "345", "346", "347", "348", "349", "350", "351", "352", "353", "354", "355", "356", "357", "358", "359", "360", "361", "362", "363", "364", "365", "366", "367", "368", "369", "370", "371", "372", "373", "374", "375", "376", "377", "378", "379", "380", "381", "382", "383", "384", "385", "386", "387", "388", "389", "390", "391", "392", "393", "394", "395", "396", "397", "398", "399", "400", "401", "402", "403", "404", "405", "406", "407", "408", "409", "410", "411", "412", "413", "414", "415", "416", "417", "418", "419", "420", "421", "422", "423", "424", "425", "426", "427", "428", "429", "430", "431", "432", "433", "434", "435", "436", "437", "438", "439", "440", "441", "442", "443", "444", "445", "446", "447", "448", "449", "450", "451", "452", "453", "454", "455", "456", "457", "458", "459", "460", "461", "462", "463", "464", "465", "466", "467", "468", "469", "470", "471", "472", "473", "474", "475", "476", "477", "478", "479", "480", "481", "482", "483", "484", "485", "486", "487", "488", "489", "490", "491", "492", "493", "494", "495", "496", "497", "498", "499", "500", "501", "502", "503", "504", "505", "506", "507", "508", "509", "510", "511", "512", "513", "514", "515", "516", "517", "518", "519", "520", "521", "522", "523", "524", "525", "526", "527", "528", "529", "530", "531", "532", "533", "534", "535", "536", "537", "538", "539", "540", "541", "542", "543", "544", "545", "546", "547", "548", "549", "550", "551", "552", "553", "554", "555", "556", "557", "558", "559", "560", "561", "562", "563", "564", "565", "566", "567", "568", "569", "570", "571", "572", "573", "574", "575", "576", "577", "578", "579", "580", "581", "582", "583", "584", "585", "586", "587", "588", "589", "590", "591", "592", "593", "594", "595", "596", "597", "598", "599", "600", "601", "602", "603", "604", "605", "606", "607", "608", "609", "610", "611", "612", "613", "614", "615", "616", "617", "618", "619", "620", "621", "622", "623", "624", "625", "626", "627", "628", "629", "630", "631", "632", "633", "634", "635", "636", "637", "638", "639", "640", "641", "642", "643", "644", "645", "646", "647", "648", "649", "650", "651", "652", "653", "654", "655", "656", "657", "658", "659", "660", "661", "662", "663", "664", "665", "666", "667", "668", "669", "670", "671", "672", "673", "674", "675", "676", "677", "678", "679", "680", "681", "682", "683", "684", "685", "686", "687", "688", "689", "690", "691", "692", "693", "694", "695", "696", "697", "698", "699", "700", "701", "702", "703", "704", "705", "706", "707", "708", "709", "710", "711", "712", "713", "714", "715", "716", "717", "718", "719", "720", "721", "722", "723", "724", "725", "726", "727", "728", "729", "730", "731", "732", "733", "734", "735", "736", "737", "738", "739", "740", "741", "742", "743", "744", "745", "746", "747", "748", "749", "750", "751", "752", "753", "754", "755", "756", "757", "758", "759", "760", "761", "762", "763", "764", "765", "766", "767", "768", "769", "770", "771", "772", "773", "774", "775", "776", "777", "778", "779", "780", "781", "782", "783", "784", "785", "786", "787", "788", "789", "790", "791", "792", "793", "794", "795", "796", "797", "798", "799", "800", "801", "802", "803", "804", "805", "806", "807", "808", "809", "810", "811", "812", "813", "814", "815", "816", "817", "818", "819", "820", "821", "822", "823", "824", "825", "826", "827", "828", "829", "830", "831", "832", "833", "834", "835", "836", "837", "838", "839", "840", "841", "842", "843", "844", "845", "846", "847", "848", "849", "850", "851", "852", "853", "854", "855", "856", "857", "858", "859", "860", "861", "862", "863", "864", "865", "866", "867", "868", "869", "870", "871", "872", "873", "874", "875", "876", "877", "878", "879", "880", "881", "882", "883", "884", "885", "886", "887", "888", "889", "890", "891", "892", "893", "894", "895", "896", "897", "898", "899", "900", "901", "902", "903", "904", "905", "906", "907", "908", "909", "910", "911", "912", "913", "914", "915", "916", "917", "918", "919", "920", "921", "922", "923", "924", "925", "926", "927", "928", "929", "930", "931", "932", "933", "934", "935", "936", "937", "938", "939", "940", "941", "942", "943", "944", "945", "946", "947", "948", "949", "950", "951", "952", "953", "954", "955", "956", "957", "958", "959", "960", "961", "962", "963", "964", "965", "966", "967", "968", "969", "970", "971", "972", "973", "974", "975", "976", "977", "978", "979", "980", "981", "982", "983", "984", "985", "986", "987", "988", "989", "990", "991", "992", "993", "994", "995", "996", "997", "998", "999", "1000", "1001", "1002", "1003", "1004", "1005", "1006", "1007", "1008", "1009", "1010", "1011", "1012", "1013", "1014", "1015", "1016", "1017", "1018", "1019", "1020", "1021", "1022", "1023", "1024", "1025", "1026", "1027", "1028", "1029", "1030", "1031", "1032", "1033", "1034", "1035", "1036", "1037", "1038", "1039", "1040", "1041", "1042", "1043", "1044", "1045", "1046", "1047", "1048", "1049", "1050", "1051", "1052", "1053", "1054", "1055", "1056", "1057", "1058", "1059", "1060", "1061", "1062", "1063", "1064", "1065", "1066", "1067", "1068", "1069", "1070", "1071", "1072", "1073", "1074", "1075", "1076", "1077", "1078", "1079", "1080", "1081", "1082", "1083", "1084", "1085", "1086", "1087", "1088", "1089", "1090", "1091", "1092", "1093", "1094", "1095", "1096", "1097", "1098", "1099", "1100", "1101", "1102", "1103", "1104", "1105", "1106", "1107", "1108", "1109", "1110", "1111", "1112", "1113", "1114", "1115", "1116", "1117", "1118", "1119", "1120", "1121", "1122", "1123", "1124", "1125", "1126", "1127", "1128", "1129", "1130", "1131", "1132", "1133", "1134", "1135", "1136", "1137", "1138", "1139", "1140", "1141", "1142", "1143", "1144", "1145", "1146", "1147", "1148", "1149", "1150", "1151", "1152", "1153", "1154", "1155", "1156", "1157", "1158", "1159", "1160", "1161", "1162", "1163", "1164", "1165", "1166", "1167", "1168", "1169", "1170", "1171", "1172", "1173", "1174", "1175", "1176", "1177", "1178", "1179", "1180", "1181", "1182", "1183", "1184", "1185", "1186", "1187", "1188", "1189", "1190", "1191", "1192", "1193", "1194", "1195", "1196", "1197", "1198", "1199", "1200", "1201", "1202", "1203", "1204", "1205", "1206", "1207", "1208", "1209", "1210", "1211", "1212", "1213", "1214", "1215", "1216", "1217", "1218", "1219", "1220", "1221", "1222", "1223", "1224", "1225", "1226", "1227", "1228", "1229", "1230", "1231", "1232", "1233", "1234", "1235", "1236", "1237", "1238", "1239", "1240", "1241", "1242", "1243", "1244", "1245", "1246", "1247", "1248", "1249", "1250", "1251", "1252", "1253", "1254", "1255", "1256", "1257", "1258", "1259", "1260", "1261", "1262", "1263", "1264", "1265", "1266", "1267", "1268", "1269", "1270", "1271", "1272", "1273", "1274", "1275", "1276", "1277", "1278", "1279", "1280", "1281", "1282", "1283", "1284", "1285", "1286", "1287", "1288", "1289", "1290", "1291", "1292", "1293", "1294", "1295", "1296", "1297", "1298", "1299", "1300", "1301", "1302", "1303", "1304", "1305", "1306", "1307", "1308", "1309", "1310", "1311", "1312", "1313", "1314", "1315", "1316", "1317", "1318", "1319", "1320", "1321", "1322", "1323", "1324", "1325", "1326", "1327", "1328", "1329", "1330", "1331", "1332", "1333", "1334", "1335", "1336", "1337", "1338", "1339", "1340", "1341", "1342", "1343", "1344", "1345", "1346", "1347", "1348", "1349", "1350", "1351", "1352", "1353", "1354", "1355", "1356", "1357", "1358", "1359", "1360", "1361", "1362", "1363", "1364", "1365", "1366", "1367", "1368", "1369", "1370", "1371", "1372", "1373", "1374", "1375", "1376", "1377", "1378", "1379", "1380", "1381", "1382", "1383", "1384", "1385", "1386", "1387", "1388", "1389", "1390", "1391", "1392", "1393", "1394", "1395", "1396", "1397", "1398", "1399", "1400", "1401", "1402", "1403", "1404", "1405", "1406", "1407", "1408", "1409", "1410", "1411", "1412", "1413", "1414", "1415", "1416", "1417", "1418", "1419", "1420", "1421", "1422", "1423", "1424", "1425", "1426", "1427", "1428", "1429", "1430", "1431", "1432", "1433", "1434", "1435", "1436", "1437", "1438", "1439", "1440", "1441", "1442", "1443", "1444", "1445", "1446", "1447", "1448", "1449", "1450", "1451", "1452", "1453", "1454", "1455", "1456", "1457", "1458", "1459", "1460", "1461", "1462", "1463", "1464", "1465", "1466", "1467", "1468", "1469", "1470", "1471", "1472", "1473", "1474", "1475", "1476", "1477", "1478", "1479", "1480", "1481", "1482", "1483", "1484", "1485", "1486", "1487", "1488", "1489", "1490", "1491", "1492", "1493", "1494", "1495", "1496", "1497", "1498", "1499", "1500", "1501", "1502", "1503", "1504", "1505", "1506", "1507", "1508", "1509", "1510", "1511", "1512", "1513", "1514", "1515", "1516", "1517", "1518", "1519", "1520", "1521", "1522", "1523", "1524", "1525", "1526", "1527", "1528", "1529", "1530", "1531", "1532", "1533", "1534", "1535", "1536", "1537", "1538", "1539", "1540", "1541", "1542", "1543", "1544", "1545", "1546", "1547", "1548", "1549", "1550", "1551", "1552", "1553", "1554", "1555", "1556", "1557", "1558", "1559", "1560", "1561", "1562", "1563", "1564", "1565", "1566", "1567", "1568", "1569", "1570", "1571", "1572", "1573", "1574", "1575", "1576", "1577", "1578", "1579", "1580", "1581", "1582", "1583", "1584", "1585", "1586", "1587", "1588", "1589", "1590", "1591", "1592", "1593", "1594", "1595", "1596", "1597", "1598", "1599", "1600", "1601", "1602", "1603", "1604", "1605", "1606", "1607", "1608", "1609", "1610", "1611", "1612", "1613", "1614", "1615", "1616", "1617", "1618", "1619", "1620", "1621", "1622", "1623", "1624", "1625", "1626", "1627", "1628", "1629", "1630", "1631", "1632", "1633", "1634", "1635", "1636", "1637", "1638", "1639", "1640", "1641", "1642", "1643", "1644", "1645", "1646", "1647", "1648", "1649", "1650", "1651", "1652", "1653", "1654", "1655", "1656", "1657", "1658", "1659", "1660", "1661", "1662", "1663", "1664", "1665", "1666", "1667", "1668", "1669", "1670", "1671", "1672", "1673", "1674", "1675", "1676", "1677", "1678", "1679", "1680", "1681", "1682", "1683", "1684", "1685", "1686", "1687", "1688", "1689", "1690", "1691", "1692", "1693", "1694", "1695", "1696", "1697", "1698", "1699", "1700", "1701", "1702", "1703", "1704", "1705", "1706", "1707", "1708", "1709", "1710", "1711", "1712", "1713", "1714", "1715", "1716", "1717", "1718", "1719", "1720", "1721", "1722", "1723", "1724", "1725", "1726", "1727", "1728", "1729", "1730", "1731", "1732", "1733", "1734", "1735", "1736", "1737", "1738", "1739", "1740", "1741", "1742", "1743", "1744", "1745", "1746", "1747", "1748", "1749", "1750", "1751", "1752", "1753", "1754", "1755", "1756", "1757", "1758", "1759", "1760", "1761", "1762", "1763", "1764", "1765", "1766", "1767", "1768", "1769", "1770", "1771", "1772", "1773", "1774", "1775", "1776", "1777", "1778", "1779", "1780", "1781", "1782", "1783", "1784", "1785", "1786", "1787", "1788", "1789", "1790", "1791", "1792", "1793", "1794", "1795", "1796", "1797", "1798", "1799", "1800", "1801", "1802", "1803", "1804", "1805", "1806", "1807", "1808", "1809", "1810", "1811", "1812", "1813", "1814", "1815", "1816", "1817", "1818", "1819", "1820", "1821", "1822", "1823", "1824", "1825", "1826", "1827", "1828", "1829", "1830", "1831", "1832", "1833", "1834", "1835", "1836", "1837", "1838", "1839", "1840", "1841", "1842", "1843", "1844", "1845", "1846", "1847", "1848", "1849", "1850", "1851", "1852", "1853", "1854", "1855", "1856", "1857", "1858", "1859", "1860", "1861", "1862", "1863", "1864", "1865", "1866", "1867", "1868", "1869", "1870", "1871", "1872", "1873", "1874", "1875", "1876", "1877", "1878", "1879", "1880", "1881", "1882", "1883", "1884", "1885", "1886", "1887", "1888", "1889", "1890", "1891", "1892", "1893", "1894", "1895", "1896", "1897", "1898", "1899", "1900", "1901", "1902", "1903", "1904", "1905", "1906", "1907", "1908", "1909", "1910", "1911", "1912", "1913", "1914", "1915", "1916", "1917", "1918", "1919", "1920", "1921", "1922", "1923", "1924", "1925", "1926", "1927", "1928", "1929", "1930", "1931", "1932", "1933", "1934", "1935", "1936", "1937", "1938", "1939", "1940", "1941", "1942", "1943", "1944", "1945", "1946", "1947", "1948", "1949", "1950", "1951", "1952", "1953", "1954", "1955", "1956", "1957", "1958", "1959", "1960", "1961", "1962", "1963", "1964", "1965", "1966", "1967", "1968", "1969", "1970", "1971", "1972", "1973", "1974", "1975", "1976", "1977", "1978", "1979", "1980", "1981", "1982", "1983", "1984", "1985", "1986", "1987", "1988", "1989", "1990", "1991", "1992", "1993", "1994", "1995", "1996", "1997", "1998", "1999", "2000")), x = c(1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2), factors = list()), theta = c(1, 0, 1), Lind = c(1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L), Gp = c(0L, 400L), lower = c(0, -Inf, 0), Lambdat = new("dgCMatrix", i = c(0L, 0L, 1L, 2L, 2L, 3L, 4L, 4L, 5L, 6L, 6L, 7L, 8L, 8L, 9L, 10L, 10L, 11L, 12L, 12L, 13L, 14L, 14L, 15L, 16L, 16L, 17L, 18L, 18L, 19L, 20L, 20L, 21L, 22L, 22L, 23L, 24L, 24L, 25L, 26L, 26L, 27L, 28L, 28L, 29L, 30L, 30L, 31L, 32L, 32L, 33L, 34L, 34L, 35L, 36L, 36L, 37L, 38L, 38L, 39L, 40L, 40L, 41L, 42L, 42L, 43L, 44L, 44L, 45L, 46L, 46L, 47L, 48L, 48L, 49L, 50L, 50L, 51L, 52L, 52L, 53L, 54L, 54L, 55L, 56L, 56L, 57L, 58L, 58L, 59L, 60L, 60L, 61L, 62L, 62L, 63L, 64L, 64L, 65L, 66L, 66L, 67L, 68L, 68L, 69L, 70L, 70L, 71L, 72L, 72L, 73L, 74L, 74L, 75L, 76L, 76L, 77L, 78L, 78L, 79L, 80L, 80L, 81L, 82L, 82L, 83L, 84L, 84L, 85L, 86L, 86L, 87L, 88L, 88L, 89L, 90L, 90L, 91L, 92L, 92L, 93L, 94L, 94L, 95L, 96L, 96L, 97L, 98L, 98L, 99L, 100L, 100L, 101L, 102L, 102L, 103L, 104L, 104L, 105L, 106L, 106L, 107L, 108L, 108L, 109L, 110L, 110L, 111L, 112L, 112L, 113L, 114L, 114L, 115L, 116L, 116L, 117L, 118L, 118L, 119L, 120L, 120L, 121L, 122L, 122L, 123L, 124L, 124L, 125L, 126L, 126L, 127L, 128L, 128L, 129L, 130L, 130L, 131L, 132L, 132L, 133L, 134L, 134L, 135L, 136L, 136L, 137L, 138L, 138L, 139L, 140L, 140L, 141L, 142L, 142L, 143L, 144L, 144L, 145L, 146L, 146L, 147L, 148L, 148L, 149L, 150L, 150L, 151L, 152L, 152L, 153L, 154L, 154L, 155L, 156L, 156L, 157L, 158L, 158L, 159L, 160L, 160L, 161L, 162L, 162L, 163L, 164L, 164L, 165L, 166L, 166L, 167L, 168L, 168L, 169L, 170L, 170L, 171L, 172L, 172L, 173L, 174L, 174L, 175L, 176L, 176L, 177L, 178L, 178L, 179L, 180L, 180L, 181L, 182L, 182L, 183L, 184L, 184L, 185L, 186L, 186L, 187L, 188L, 188L, 189L, 190L, 190L, 191L, 192L, 192L, 193L, 194L, 194L, 195L, 196L, 196L, 197L, 198L, 198L, 199L, 200L, 200L, 201L, 202L, 202L, 203L, 204L, 204L, 205L, 206L, 206L, 207L, 208L, 208L, 209L, 210L, 210L, 211L, 212L, 212L, 213L, 214L, 214L, 215L, 216L, 216L, 217L, 218L, 218L, 219L, 220L, 220L, 221L, 222L, 222L, 223L, 224L, 224L, 225L, 226L, 226L, 227L, 228L, 228L, 229L, 230L, 230L, 231L, 232L, 232L, 233L, 234L, 234L, 235L, 236L, 236L, 237L, 238L, 238L, 239L, 240L, 240L, 241L, 242L, 242L, 243L, 244L, 244L, 245L, 246L, 246L, 247L, 248L, 248L, 249L, 250L, 250L, 251L, 252L, 252L, 253L, 254L, 254L, 255L, 256L, 256L, 257L, 258L, 258L, 259L, 260L, 260L, 261L, 262L, 262L, 263L, 264L, 264L, 265L, 266L, 266L, 267L, 268L, 268L, 269L, 270L, 270L, 271L, 272L, 272L, 273L, 274L, 274L, 275L, 276L, 276L, 277L, 278L, 278L, 279L, 280L, 280L, 281L, 282L, 282L, 283L, 284L, 284L, 285L, 286L, 286L, 287L, 288L, 288L, 289L, 290L, 290L, 291L, 292L, 292L, 293L, 294L, 294L, 295L, 296L, 296L, 297L, 298L, 298L, 299L, 300L, 300L, 301L, 302L, 302L, 303L, 304L, 304L, 305L, 306L, 306L, 307L, 308L, 308L, 309L, 310L, 310L, 311L, 312L, 312L, 313L, 314L, 314L, 315L, 316L, 316L, 317L, 318L, 318L, 319L, 320L, 320L, 321L, 322L, 322L, 323L, 324L, 324L, 325L, 326L, 326L, 327L, 328L, 328L, 329L, 330L, 330L, 331L, 332L, 332L, 333L, 334L, 334L, 335L, 336L, 336L, 337L, 338L, 338L, 339L, 340L, 340L, 341L, 342L, 342L, 343L, 344L, 344L, 345L, 346L, 346L, 347L, 348L, 348L, 349L, 350L, 350L, 351L, 352L, 352L, 353L, 354L, 354L, 355L, 356L, 356L, 357L, 358L, 358L, 359L, 360L, 360L, 361L, 362L, 362L, 363L, 364L, 364L, 365L, 366L, 366L, 367L, 368L, 368L, 369L, 370L, 370L, 371L, 372L, 372L, 373L, 374L, 374L, 375L, 376L, 376L, 377L, 378L, 378L, 379L, 380L, 380L, 381L, 382L, 382L, 383L, 384L, 384L, 385L, 386L, 386L, 387L, 388L, 388L, 389L, 390L, 390L, 391L, 392L, 392L, 393L, 394L, 394L, 395L, 396L, 396L, 397L, 398L, 398L, 399L), p = c(0L, 1L, 3L, 4L, 6L, 7L, 9L, 10L, 12L, 13L, 15L, 16L, 18L, 19L, 21L, 22L, 24L, 25L, 27L, 28L, 30L, 31L, 33L, 34L, 36L, 37L, 39L, 40L, 42L, 43L, 45L, 46L, 48L, 49L, 51L, 52L, 54L, 55L, 57L, 58L, 60L, 61L, 63L, 64L, 66L, 67L, 69L, 70L, 72L, 73L, 75L, 76L, 78L, 79L, 81L, 82L, 84L, 85L, 87L, 88L, 90L, 91L, 93L, 94L, 96L, 97L, 99L, 100L, 102L, 103L, 105L, 106L, 108L, 109L, 111L, 112L, 114L, 115L, 117L, 118L, 120L, 121L, 123L, 124L, 126L, 127L, 129L, 130L, 132L, 133L, 135L, 136L, 138L, 139L, 141L, 142L, 144L, 145L, 147L, 148L, 150L, 151L, 153L, 154L, 156L, 157L, 159L, 160L, 162L, 163L, 165L, 166L, 168L, 169L, 171L, 172L, 174L, 175L, 177L, 178L, 180L, 181L, 183L, 184L, 186L, 187L, 189L, 190L, 192L, 193L, 195L, 196L, 198L, 199L, 201L, 202L, 204L, 205L, 207L, 208L, 210L, 211L, 213L, 214L, 216L, 217L, 219L, 220L, 222L, 223L, 225L, 226L, 228L, 229L, 231L, 232L, 234L, 235L, 237L, 238L, 240L, 241L, 243L, 244L, 246L, 247L, 249L, 250L, 252L, 253L, 255L, 256L, 258L, 259L, 261L, 262L, 264L, 265L, 267L, 268L, 270L, 271L, 273L, 274L, 276L, 277L, 279L, 280L, 282L, 283L, 285L, 286L, 288L, 289L, 291L, 292L, 294L, 295L, 297L, 298L, 300L, 301L, 303L, 304L, 306L, 307L, 309L, 310L, 312L, 313L, 315L, 316L, 318L, 319L, 321L, 322L, 324L, 325L, 327L, 328L, 330L, 331L, 333L, 334L, 336L, 337L, 339L, 340L, 342L, 343L, 345L, 346L, 348L, 349L, 351L, 352L, 354L, 355L, 357L, 358L, 360L, 361L, 363L, 364L, 366L, 367L, 369L, 370L, 372L, 373L, 375L, 376L, 378L, 379L, 381L, 382L, 384L, 385L, 387L, 388L, 390L, 391L, 393L, 394L, 396L, 397L, 399L, 400L, 402L, 403L, 405L, 406L, 408L, 409L, 411L, 412L, 414L, 415L, 417L, 418L, 420L, 421L, 423L, 424L, 426L, 427L, 429L, 430L, 432L, 433L, 435L, 436L, 438L, 439L, 441L, 442L, 444L, 445L, 447L, 448L, 450L, 451L, 453L, 454L, 456L, 457L, 459L, 460L, 462L, 463L, 465L, 466L, 468L, 469L, 471L, 472L, 474L, 475L, 477L, 478L, 480L, 481L, 483L, 484L, 486L, 487L, 489L, 490L, 492L, 493L, 495L, 496L, 498L, 499L, 501L, 502L, 504L, 505L, 507L, 508L, 510L, 511L, 513L, 514L, 516L, 517L, 519L, 520L, 522L, 523L, 525L, 526L, 528L, 529L, 531L, 532L, 534L, 535L, 537L, 538L, 540L, 541L, 543L, 544L, 546L, 547L, 549L, 550L, 552L, 553L, 555L, 556L, 558L, 559L, 561L, 562L, 564L, 565L, 567L, 568L, 570L, 571L, 573L, 574L, 576L, 577L, 579L, 580L, 582L, 583L, 585L, 586L, 588L, 589L, 591L, 592L, 594L, 595L, 597L, 598L, 600L), Dim = c(400L, 400L), Dimnames = list(NULL, NULL), x = c(1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1), factors = list()), flist = list(Id = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 53L, 53L, 53L, 53L, 53L, 53L, 53L, 53L, 53L, 53L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 56L, 56L, 56L, 56L, 56L, 56L, 56L, 56L, 56L, 56L, 57L, 57L, 57L, 57L, 57L, 57L, 57L, 57L, 57L, 57L, 58L, 58L, 58L, 58L, 58L, 58L, 58L, 58L, 58L, 58L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 60L, 60L, 60L, 60L, 60L, 60L, 60L, 60L, 60L, 60L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 66L, 66L, 66L, 66L, 66L, 66L, 66L, 66L, 66L, 66L, 67L, 67L, 67L, 67L, 67L, 67L, 67L, 67L, 67L, 67L, 68L, 68L, 68L, 68L, 68L, 68L, 68L, 68L, 68L, 68L, 69L, 69L, 69L, 69L, 69L, 69L, 69L, 69L, 69L, 69L, 70L, 70L, 70L, 70L, 70L, 70L, 70L, 70L, 70L, 70L, 71L, 71L, 71L, 71L, 71L, 71L, 71L, 71L, 71L, 71L, 72L, 72L, 72L, 72L, 72L, 72L, 72L, 72L, 72L, 72L, 73L, 73L, 73L, 73L, 73L, 73L, 73L, 73L, 73L, 73L, 74L, 74L, 74L, 74L, 74L, 74L, 74L, 74L, 74L, 74L, 75L, 75L, 75L, 75L, 75L, 75L, 75L, 75L, 75L, 75L, 76L, 76L, 76L, 76L, 76L, 76L, 76L, 76L, 76L, 76L, 77L, 77L, 77L, 77L, 77L, 77L, 77L, 77L, 77L, 77L, 78L, 78L, 78L, 78L, 78L, 78L, 78L, 78L, 78L, 78L, 79L, 79L, 79L, 79L, 79L, 79L, 79L, 79L, 79L, 79L, 80L, 80L, 80L, 80L, 80L, 80L, 80L, 80L, 80L, 80L, 81L, 81L, 81L, 81L, 81L, 81L, 81L, 81L, 81L, 81L, 82L, 82L, 82L, 82L, 82L, 82L, 82L, 82L, 82L, 82L, 83L, 83L, 83L, 83L, 83L, 83L, 83L, 83L, 83L, 83L, 84L, 84L, 84L, 84L, 84L, 84L, 84L, 84L, 84L, 84L, 85L, 85L, 85L, 85L, 85L, 85L, 85L, 85L, 85L, 85L, 86L, 86L, 86L, 86L, 86L, 86L, 86L, 86L, 86L, 86L, 87L, 87L, 87L, 87L, 87L, 87L, 87L, 87L, 87L, 87L, 88L, 88L, 88L, 88L, 88L, 88L, 88L, 88L, 88L, 88L, 89L, 89L, 89L, 89L, 89L, 89L, 89L, 89L, 89L, 89L, 90L, 90L, 90L, 90L, 90L, 90L, 90L, 90L, 90L, 90L, 91L, 91L, 91L, 91L, 91L, 91L, 91L, 91L, 91L, 91L, 92L, 92L, 92L, 92L, 92L, 92L, 92L, 92L, 92L, 92L, 93L, 93L, 93L, 93L, 93L, 93L, 93L, 93L, 93L, 93L, 94L, 94L, 94L, 94L, 94L, 94L, 94L, 94L, 94L, 94L, 95L, 95L, 95L, 95L, 95L, 95L, 95L, 95L, 95L, 95L, 96L, 96L, 96L, 96L, 96L, 96L, 96L, 96L, 96L, 96L, 97L, 97L, 97L, 97L, 97L, 97L, 97L, 97L, 97L, 97L, 98L, 98L, 98L, 98L, 98L, 98L, 98L, 98L, 98L, 98L, 99L, 99L, 99L, 99L, 99L, 99L, 99L, 99L, 99L, 99L, 100L, 100L, 100L, 100L, 100L, 100L, 100L, 100L, 100L, 100L, 101L, 101L, 101L, 101L, 101L, 101L, 101L, 101L, 101L, 101L, 102L, 102L, 102L, 102L, 102L, 102L, 102L, 102L, 102L, 102L, 103L, 103L, 103L, 103L, 103L, 103L, 103L, 103L, 103L, 103L, 104L, 104L, 104L, 104L, 104L, 104L, 104L, 104L, 104L, 104L, 105L, 105L, 105L, 105L, 105L, 105L, 105L, 105L, 105L, 105L, 106L, 106L, 106L, 106L, 106L, 106L, 106L, 106L, 106L, 106L, 107L, 107L, 107L, 107L, 107L, 107L, 107L, 107L, 107L, 107L, 108L, 108L, 108L, 108L, 108L, 108L, 108L, 108L, 108L, 108L, 109L, 109L, 109L, 109L, 109L, 109L, 109L, 109L, 109L, 109L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 111L, 111L, 111L, 111L, 111L, 111L, 111L, 111L, 111L, 111L, 112L, 112L, 112L, 112L, 112L, 112L, 112L, 112L, 112L, 112L, 113L, 113L, 113L, 113L, 113L, 113L, 113L, 113L, 113L, 113L, 114L, 114L, 114L, 114L, 114L, 114L, 114L, 114L, 114L, 114L, 115L, 115L, 115L, 115L, 115L, 115L, 115L, 115L, 115L, 115L, 116L, 116L, 116L, 116L, 116L, 116L, 116L, 116L, 116L, 116L, 117L, 117L, 117L, 117L, 117L, 117L, 117L, 117L, 117L, 117L, 118L, 118L, 118L, 118L, 118L, 118L, 118L, 118L, 118L, 118L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 120L, 120L, 120L, 120L, 120L, 120L, 120L, 120L, 120L, 120L, 121L, 121L, 121L, 121L, 121L, 121L, 121L, 121L, 121L, 121L, 122L, 122L, 122L, 122L, 122L, 122L, 122L, 122L, 122L, 122L, 123L, 123L, 123L, 123L, 123L, 123L, 123L, 123L, 123L, 123L, 124L, 124L, 124L, 124L, 124L, 124L, 124L, 124L, 124L, 124L, 125L, 125L, 125L, 125L, 125L, 125L, 125L, 125L, 125L, 125L, 126L, 126L, 126L, 126L, 126L, 126L, 126L, 126L, 126L, 126L, 127L, 127L, 127L, 127L, 127L, 127L, 127L, 127L, 127L, 127L, 128L, 128L, 128L, 128L, 128L, 128L, 128L, 128L, 128L, 128L, 129L, 129L, 129L, 129L, 129L, 129L, 129L, 129L, 129L, 129L, 130L, 130L, 130L, 130L, 130L, 130L, 130L, 130L, 130L, 130L, 131L, 131L, 131L, 131L, 131L, 131L, 131L, 131L, 131L, 131L, 132L, 132L, 132L, 132L, 132L, 132L, 132L, 132L, 132L, 132L, 133L, 133L, 133L, 133L, 133L, 133L, 133L, 133L, 133L, 133L, 134L, 134L, 134L, 134L, 134L, 134L, 134L, 134L, 134L, 134L, 135L, 135L, 135L, 135L, 135L, 135L, 135L, 135L, 135L, 135L, 136L, 136L, 136L, 136L, 136L, 136L, 136L, 136L, 136L, 136L, 137L, 137L, 137L, 137L, 137L, 137L, 137L, 137L, 137L, 137L, 138L, 138L, 138L, 138L, 138L, 138L, 138L, 138L, 138L, 138L, 139L, 139L, 139L, 139L, 139L, 139L, 139L, 139L, 139L, 139L, 140L, 140L, 140L, 140L, 140L, 140L, 140L, 140L, 140L, 140L, 141L, 141L, 141L, 141L, 141L, 141L, 141L, 141L, 141L, 141L, 142L, 142L, 142L, 142L, 142L, 142L, 142L, 142L, 142L, 142L, 143L, 143L, 143L, 143L, 143L, 143L, 143L, 143L, 143L, 143L, 144L, 144L, 144L, 144L, 144L, 144L, 144L, 144L, 144L, 144L, 145L, 145L, 145L, 145L, 145L, 145L, 145L, 145L, 145L, 145L, 146L, 146L, 146L, 146L, 146L, 146L, 146L, 146L, 146L, 146L, 147L, 147L, 147L, 147L, 147L, 147L, 147L, 147L, 147L, 147L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 149L, 149L, 149L, 149L, 149L, 149L, 149L, 149L, 149L, 149L, 150L, 150L, 150L, 150L, 150L, 150L, 150L, 150L, 150L, 150L, 151L, 151L, 151L, 151L, 151L, 151L, 151L, 151L, 151L, 151L, 152L, 152L, 152L, 152L, 152L, 152L, 152L, 152L, 152L, 152L, 153L, 153L, 153L, 153L, 153L, 153L, 153L, 153L, 153L, 153L, 154L, 154L, 154L, 154L, 154L, 154L, 154L, 154L, 154L, 154L, 155L, 155L, 155L, 155L, 155L, 155L, 155L, 155L, 155L, 155L, 156L, 156L, 156L, 156L, 156L, 156L, 156L, 156L, 156L, 156L, 157L, 157L, 157L, 157L, 157L, 157L, 157L, 157L, 157L, 157L, 158L, 158L, 158L, 158L, 158L, 158L, 158L, 158L, 158L, 158L, 159L, 159L, 159L, 159L, 159L, 159L, 159L, 159L, 159L, 159L, 160L, 160L, 160L, 160L, 160L, 160L, 160L, 160L, 160L, 160L, 161L, 161L, 161L, 161L, 161L, 161L, 161L, 161L, 161L, 161L, 162L, 162L, 162L, 162L, 162L, 162L, 162L, 162L, 162L, 162L, 163L, 163L, 163L, 163L, 163L, 163L, 163L, 163L, 163L, 163L, 164L, 164L, 164L, 164L, 164L, 164L, 164L, 164L, 164L, 164L, 165L, 165L, 165L, 165L, 165L, 165L, 165L, 165L, 165L, 165L, 166L, 166L, 166L, 166L, 166L, 166L, 166L, 166L, 166L, 166L, 167L, 167L, 167L, 167L, 167L, 167L, 167L, 167L, 167L, 167L, 168L, 168L, 168L, 168L, 168L, 168L, 168L, 168L, 168L, 168L, 169L, 169L, 169L, 169L, 169L, 169L, 169L, 169L, 169L, 169L, 170L, 170L, 170L, 170L, 170L, 170L, 170L, 170L, 170L, 170L, 171L, 171L, 171L, 171L, 171L, 171L, 171L, 171L, 171L, 171L, 172L, 172L, 172L, 172L, 172L, 172L, 172L, 172L, 172L, 172L, 173L, 173L, 173L, 173L, 173L, 173L, 173L, 173L, 173L, 173L, 174L, 174L, 174L, 174L, 174L, 174L, 174L, 174L, 174L, 174L, 175L, 175L, 175L, 175L, 175L, 175L, 175L, 175L, 175L, 175L, 176L, 176L, 176L, 176L, 176L, 176L, 176L, 176L, 176L, 176L, 177L, 177L, 177L, 177L, 177L, 177L, 177L, 177L, 177L, 177L, 178L, 178L, 178L, 178L, 178L, 178L, 178L, 178L, 178L, 178L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 180L, 180L, 180L, 180L, 180L, 180L, 180L, 180L, 180L, 180L, 181L, 181L, 181L, 181L, 181L, 181L, 181L, 181L, 181L, 181L, 182L, 182L, 182L, 182L, 182L, 182L, 182L, 182L, 182L, 182L, 183L, 183L, 183L, 183L, 183L, 183L, 183L, 183L, 183L, 183L, 184L, 184L, 184L, 184L, 184L, 184L, 184L, 184L, 184L, 184L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 186L, 186L, 186L, 186L, 186L, 186L, 186L, 186L, 186L, 186L, 187L, 187L, 187L, 187L, 187L, 187L, 187L, 187L, 187L, 187L, 188L, 188L, 188L, 188L, 188L, 188L, 188L, 188L, 188L, 188L, 189L, 189L, 189L, 189L, 189L, 189L, 189L, 189L, 189L, 189L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 191L, 191L, 191L, 191L, 191L, 191L, 191L, 191L, 191L, 191L, 192L, 192L, 192L, 192L, 192L, 192L, 192L, 192L, 192L, 192L, 193L, 193L, 193L, 193L, 193L, 193L, 193L, 193L, 193L, 193L, 194L, 194L, 194L, 194L, 194L, 194L, 194L, 194L, 194L, 194L, 195L, 195L, 195L, 195L, 195L, 195L, 195L, 195L, 195L, 195L, 196L, 196L, 196L, 196L, 196L, 196L, 196L, 196L, 196L, 196L, 197L, 197L, 197L, 197L, 197L, 197L, 197L, 197L, 197L, 197L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 199L, 199L, 199L, 199L, 199L, 199L, 199L, 199L, 199L, 199L, 200L, 200L, 200L, 200L, 200L, 200L, 200L, 200L, 200L, 200L)), cnms = list(Id = c("(Intercept)", "Time")), Ztlist = list(`Time | Id` = new("dgCMatrix", i = c(0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 2L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 4L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 6L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 8L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 10L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 12L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 14L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 16L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 18L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 20L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 22L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 24L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 26L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 28L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 30L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 32L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 34L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 36L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 38L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 40L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 42L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 44L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 46L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 48L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 50L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 52L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 54L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 56L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 58L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 60L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 62L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 64L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 66L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 68L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 70L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 72L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 74L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 76L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 78L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 80L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 82L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 84L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 86L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 88L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 90L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 92L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 94L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 96L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 98L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 100L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 102L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 104L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 106L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 108L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 110L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 112L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 114L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 116L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 118L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 120L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 122L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 124L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 126L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 128L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 130L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 132L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 134L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 136L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 138L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 140L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 142L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 144L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 146L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 148L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 150L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 152L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 154L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 156L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 158L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 160L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 162L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 164L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 166L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 168L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 170L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 172L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 174L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 176L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 178L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 180L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 182L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 184L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 186L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 188L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 190L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 192L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 194L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 196L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 198L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 200L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 202L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 204L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 206L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 208L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 210L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 212L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 214L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 216L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 218L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 220L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 222L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 224L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 226L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 228L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 230L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 232L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 234L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 236L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 238L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 240L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 242L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 244L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 246L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 248L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 250L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 252L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 254L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 256L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 258L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 260L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 262L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 264L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 266L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 268L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 270L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 272L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 274L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 276L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 278L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 280L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 282L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 284L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 286L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 288L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 290L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 292L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 294L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 296L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 298L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 300L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 302L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 304L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 306L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 308L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 310L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 312L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 314L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 316L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 318L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 320L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 322L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 324L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 326L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 328L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 330L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 332L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 334L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 336L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 338L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 340L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 342L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 344L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 346L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 348L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 350L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 352L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 354L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 356L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 358L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 360L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 362L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 364L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 366L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 368L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 370L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 372L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 374L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 376L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 378L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 380L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 382L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 384L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 386L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 388L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 390L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 392L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 394L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 396L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 398L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L), p = c(0L, 1L, 3L, 5L, 7L, 9L, 11L, 13L, 15L, 17L, 19L, 20L, 22L, 24L, 26L, 28L, 30L, 32L, 34L, 36L, 38L, 39L, 41L, 43L, 45L, 47L, 49L, 51L, 53L, 55L, 57L, 58L, 60L, 62L, 64L, 66L, 68L, 70L, 72L, 74L, 76L, 77L, 79L, 81L, 83L, 85L, 87L, 89L, 91L, 93L, 95L, 96L, 98L, 100L, 102L, 104L, 106L, 108L, 110L, 112L, 114L, 115L, 117L, 119L, 121L, 123L, 125L, 127L, 129L, 131L, 133L, 134L, 136L, 138L, 140L, 142L, 144L, 146L, 148L, 150L, 152L, 153L, 155L, 157L, 159L, 161L, 163L, 165L, 167L, 169L, 171L, 172L, 174L, 176L, 178L, 180L, 182L, 184L, 186L, 188L, 190L, 191L, 193L, 195L, 197L, 199L, 201L, 203L, 205L, 207L, 209L, 210L, 212L, 214L, 216L, 218L, 220L, 222L, 224L, 226L, 228L, 229L, 231L, 233L, 235L, 237L, 239L, 241L, 243L, 245L, 247L, 248L, 250L, 252L, 254L, 256L, 258L, 260L, 262L, 264L, 266L, 267L, 269L, 271L, 273L, 275L, 277L, 279L, 281L, 283L, 285L, 286L, 288L, 290L, 292L, 294L, 296L, 298L, 300L, 302L, 304L, 305L, 307L, 309L, 311L, 313L, 315L, 317L, 319L, 321L, 323L, 324L, 326L, 328L, 330L, 332L, 334L, 336L, 338L, 340L, 342L, 343L, 345L, 347L, 349L, 351L, 353L, 355L, 357L, 359L, 361L, 362L, 364L, 366L, 368L, 370L, 372L, 374L, 376L, 378L, 380L, 381L, 383L, 385L, 387L, 389L, 391L, 393L, 395L, 397L, 399L, 400L, 402L, 404L, 406L, 408L, 410L, 412L, 414L, 416L, 418L, 419L, 421L, 423L, 425L, 427L, 429L, 431L, 433L, 435L, 437L, 438L, 440L, 442L, 444L, 446L, 448L, 450L, 452L, 454L, 456L, 457L, 459L, 461L, 463L, 465L, 467L, 469L, 471L, 473L, 475L, 476L, 478L, 480L, 482L, 484L, 486L, 488L, 490L, 492L, 494L, 495L, 497L, 499L, 501L, 503L, 505L, 507L, 509L, 511L, 513L, 514L, 516L, 518L, 520L, 522L, 524L, 526L, 528L, 530L, 532L, 533L, 535L, 537L, 539L, 541L, 543L, 545L, 547L, 549L, 551L, 552L, 554L, 556L, 558L, 560L, 562L, 564L, 566L, 568L, 570L, 571L, 573L, 575L, 577L, 579L, 581L, 583L, 585L, 587L, 589L, 590L, 592L, 594L, 596L, 598L, 600L, 602L, 604L, 606L, 608L, 609L, 611L, 613L, 615L, 617L, 619L, 621L, 623L, 625L, 627L, 628L, 630L, 632L, 634L, 636L, 638L, 640L, 642L, 644L, 646L, 647L, 649L, 651L, 653L, 655L, 657L, 659L, 661L, 663L, 665L, 666L, 668L, 670L, 672L, 674L, 676L, 678L, 680L, 682L, 684L, 685L, 687L, 689L, 691L, 693L, 695L, 697L, 699L, 701L, 703L, 704L, 706L, 708L, 710L, 712L, 714L, 716L, 718L, 720L, 722L, 723L, 725L, 727L, 729L, 731L, 733L, 735L, 737L, 739L, 741L, 742L, 744L, 746L, 748L, 750L, 752L, 754L, 756L, 758L, 760L, 761L, 763L, 765L, 767L, 769L, 771L, 773L, 775L, 777L, 779L, 780L, 782L, 784L, 786L, 788L, 790L, 792L, 794L, 796L, 798L, 799L, 801L, 803L, 805L, 807L, 809L, 811L, 813L, 815L, 817L, 818L, 820L, 822L, 824L, 826L, 828L, 830L, 832L, 834L, 836L, 837L, 839L, 841L, 843L, 845L, 847L, 849L, 851L, 853L, 855L, 856L, 858L, 860L, 862L, 864L, 866L, 868L, 870L, 872L, 874L, 875L, 877L, 879L, 881L, 883L, 885L, 887L, 889L, 891L, 893L, 894L, 896L, 898L, 900L, 902L, 904L, 906L, 908L, 910L, 912L, 913L, 915L, 917L, 919L, 921L, 923L, 925L, 927L, 929L, 931L, 932L, 934L, 936L, 938L, 940L, 942L, 944L, 946L, 948L, 950L, 951L, 953L, 955L, 957L, 959L, 961L, 963L, 965L, 967L, 969L, 970L, 972L, 974L, 976L, 978L, 980L, 982L, 984L, 986L, 988L, 989L, 991L, 993L, 995L, 997L, 999L, 1001L, 1003L, 1005L, 1007L, 1008L, 1010L, 1012L, 1014L, 1016L, 1018L, 1020L, 1022L, 1024L, 1026L, 1027L, 1029L, 1031L, 1033L, 1035L, 1037L, 1039L, 1041L, 1043L, 1045L, 1046L, 1048L, 1050L, 1052L, 1054L, 1056L, 1058L, 1060L, 1062L, 1064L, 1065L, 1067L, 1069L, 1071L, 1073L, 1075L, 1077L, 1079L, 1081L, 1083L, 1084L, 1086L, 1088L, 1090L, 1092L, 1094L, 1096L, 1098L, 1100L, 1102L, 1103L, 1105L, 1107L, 1109L, 1111L, 1113L, 1115L, 1117L, 1119L, 1121L, 1122L, 1124L, 1126L, 1128L, 1130L, 1132L, 1134L, 1136L, 1138L, 1140L, 1141L, 1143L, 1145L, 1147L, 1149L, 1151L, 1153L, 1155L, 1157L, 1159L, 1160L, 1162L, 1164L, 1166L, 1168L, 1170L, 1172L, 1174L, 1176L, 1178L, 1179L, 1181L, 1183L, 1185L, 1187L, 1189L, 1191L, 1193L, 1195L, 1197L, 1198L, 1200L, 1202L, 1204L, 1206L, 1208L, 1210L, 1212L, 1214L, 1216L, 1217L, 1219L, 1221L, 1223L, 1225L, 1227L, 1229L, 1231L, 1233L, 1235L, 1236L, 1238L, 1240L, 1242L, 1244L, 1246L, 1248L, 1250L, 1252L, 1254L, 1255L, 1257L, 1259L, 1261L, 1263L, 1265L, 1267L, 1269L, 1271L, 1273L, 1274L, 1276L, 1278L, 1280L, 1282L, 1284L, 1286L, 1288L, 1290L, 1292L, 1293L, 1295L, 1297L, 1299L, 1301L, 1303L, 1305L, 1307L, 1309L, 1311L, 1312L, 1314L, 1316L, 1318L, 1320L, 1322L, 1324L, 1326L, 1328L, 1330L, 1331L, 1333L, 1335L, 1337L, 1339L, 1341L, 1343L, 1345L, 1347L, 1349L, 1350L, 1352L, 1354L, 1356L, 1358L, 1360L, 1362L, 1364L, 1366L, 1368L, 1369L, 1371L, 1373L, 1375L, 1377L, 1379L, 1381L, 1383L, 1385L, 1387L, 1388L, 1390L, 1392L, 1394L, 1396L, 1398L, 1400L, 1402L, 1404L, 1406L, 1407L, 1409L, 1411L, 1413L, 1415L, 1417L, 1419L, 1421L, 1423L, 1425L, 1426L, 1428L, 1430L, 1432L, 1434L, 1436L, 1438L, 1440L, 1442L, 1444L, 1445L, 1447L, 1449L, 1451L, 1453L, 1455L, 1457L, 1459L, 1461L, 1463L, 1464L, 1466L, 1468L, 1470L, 1472L, 1474L, 1476L, 1478L, 1480L, 1482L, 1483L, 1485L, 1487L, 1489L, 1491L, 1493L, 1495L, 1497L, 1499L, 1501L, 1502L, 1504L, 1506L, 1508L, 1510L, 1512L, 1514L, 1516L, 1518L, 1520L, 1521L, 1523L, 1525L, 1527L, 1529L, 1531L, 1533L, 1535L, 1537L, 1539L, 1540L, 1542L, 1544L, 1546L, 1548L, 1550L, 1552L, 1554L, 1556L, 1558L, 1559L, 1561L, 1563L, 1565L, 1567L, 1569L, 1571L, 1573L, 1575L, 1577L, 1578L, 1580L, 1582L, 1584L, 1586L, 1588L, 1590L, 1592L, 1594L, 1596L, 1597L, 1599L, 1601L, 1603L, 1605L, 1607L, 1609L, 1611L, 1613L, 1615L, 1616L, 1618L, 1620L, 1622L, 1624L, 1626L, 1628L, 1630L, 1632L, 1634L, 1635L, 1637L, 1639L, 1641L, 1643L, 1645L, 1647L, 1649L, 1651L, 1653L, 1654L, 1656L, 1658L, 1660L, 1662L, 1664L, 1666L, 1668L, 1670L, 1672L, 1673L, 1675L, 1677L, 1679L, 1681L, 1683L, 1685L, 1687L, 1689L, 1691L, 1692L, 1694L, 1696L, 1698L, 1700L, 1702L, 1704L, 1706L, 1708L, 1710L, 1711L, 1713L, 1715L, 1717L, 1719L, 1721L, 1723L, 1725L, 1727L, 1729L, 1730L, 1732L, 1734L, 1736L, 1738L, 1740L, 1742L, 1744L, 1746L, 1748L, 1749L, 1751L, 1753L, 1755L, 1757L, 1759L, 1761L, 1763L, 1765L, 1767L, 1768L, 1770L, 1772L, 1774L, 1776L, 1778L, 1780L, 1782L, 1784L, 1786L, 1787L, 1789L, 1791L, 1793L, 1795L, 1797L, 1799L, 1801L, 1803L, 1805L, 1806L, 1808L, 1810L, 1812L, 1814L, 1816L, 1818L, 1820L, 1822L, 1824L, 1825L, 1827L, 1829L, 1831L, 1833L, 1835L, 1837L, 1839L, 1841L, 1843L, 1844L, 1846L, 1848L, 1850L, 1852L, 1854L, 1856L, 1858L, 1860L, 1862L, 1863L, 1865L, 1867L, 1869L, 1871L, 1873L, 1875L, 1877L, 1879L, 1881L, 1882L, 1884L, 1886L, 1888L, 1890L, 1892L, 1894L, 1896L, 1898L, 1900L, 1901L, 1903L, 1905L, 1907L, 1909L, 1911L, 1913L, 1915L, 1917L, 1919L, 1920L, 1922L, 1924L, 1926L, 1928L, 1930L, 1932L, 1934L, 1936L, 1938L, 1939L, 1941L, 1943L, 1945L, 1947L, 1949L, 1951L, 1953L, 1955L, 1957L, 1958L, 1960L, 1962L, 1964L, 1966L, 1968L, 1970L, 1972L, 1974L, 1976L, 1977L, 1979L, 1981L, 1983L, 1985L, 1987L, 1989L, 1991L, 1993L, 1995L, 1996L, 1998L, 2000L, 2002L, 2004L, 2006L, 2008L, 2010L, 2012L, 2014L, 2015L, 2017L, 2019L, 2021L, 2023L, 2025L, 2027L, 2029L, 2031L, 2033L, 2034L, 2036L, 2038L, 2040L, 2042L, 2044L, 2046L, 2048L, 2050L, 2052L, 2053L, 2055L, 2057L, 2059L, 2061L, 2063L, 2065L, 2067L, 2069L, 2071L, 2072L, 2074L, 2076L, 2078L, 2080L, 2082L, 2084L, 2086L, 2088L, 2090L, 2091L, 2093L, 2095L, 2097L, 2099L, 2101L, 2103L, 2105L, 2107L, 2109L, 2110L, 2112L, 2114L, 2116L, 2118L, 2120L, 2122L, 2124L, 2126L, 2128L, 2129L, 2131L, 2133L, 2135L, 2137L, 2139L, 2141L, 2143L, 2145L, 2147L, 2148L, 2150L, 2152L, 2154L, 2156L, 2158L, 2160L, 2162L, 2164L, 2166L, 2167L, 2169L, 2171L, 2173L, 2175L, 2177L, 2179L, 2181L, 2183L, 2185L, 2186L, 2188L, 2190L, 2192L, 2194L, 2196L, 2198L, 2200L, 2202L, 2204L, 2205L, 2207L, 2209L, 2211L, 2213L, 2215L, 2217L, 2219L, 2221L, 2223L, 2224L, 2226L, 2228L, 2230L, 2232L, 2234L, 2236L, 2238L, 2240L, 2242L, 2243L, 2245L, 2247L, 2249L, 2251L, 2253L, 2255L, 2257L, 2259L, 2261L, 2262L, 2264L, 2266L, 2268L, 2270L, 2272L, 2274L, 2276L, 2278L, 2280L, 2281L, 2283L, 2285L, 2287L, 2289L, 2291L, 2293L, 2295L, 2297L, 2299L, 2300L, 2302L, 2304L, 2306L, 2308L, 2310L, 2312L, 2314L, 2316L, 2318L, 2319L, 2321L, 2323L, 2325L, 2327L, 2329L, 2331L, 2333L, 2335L, 2337L, 2338L, 2340L, 2342L, 2344L, 2346L, 2348L, 2350L, 2352L, 2354L, 2356L, 2357L, 2359L, 2361L, 2363L, 2365L, 2367L, 2369L, 2371L, 2373L, 2375L, 2376L, 2378L, 2380L, 2382L, 2384L, 2386L, 2388L, 2390L, 2392L, 2394L, 2395L, 2397L, 2399L, 2401L, 2403L, 2405L, 2407L, 2409L, 2411L, 2413L, 2414L, 2416L, 2418L, 2420L, 2422L, 2424L, 2426L, 2428L, 2430L, 2432L, 2433L, 2435L, 2437L, 2439L, 2441L, 2443L, 2445L, 2447L, 2449L, 2451L, 2452L, 2454L, 2456L, 2458L, 2460L, 2462L, 2464L, 2466L, 2468L, 2470L, 2471L, 2473L, 2475L, 2477L, 2479L, 2481L, 2483L, 2485L, 2487L, 2489L, 2490L, 2492L, 2494L, 2496L, 2498L, 2500L, 2502L, 2504L, 2506L, 2508L, 2509L, 2511L, 2513L, 2515L, 2517L, 2519L, 2521L, 2523L, 2525L, 2527L, 2528L, 2530L, 2532L, 2534L, 2536L, 2538L, 2540L, 2542L, 2544L, 2546L, 2547L, 2549L, 2551L, 2553L, 2555L, 2557L, 2559L, 2561L, 2563L, 2565L, 2566L, 2568L, 2570L, 2572L, 2574L, 2576L, 2578L, 2580L, 2582L, 2584L, 2585L, 2587L, 2589L, 2591L, 2593L, 2595L, 2597L, 2599L, 2601L, 2603L, 2604L, 2606L, 2608L, 2610L, 2612L, 2614L, 2616L, 2618L, 2620L, 2622L, 2623L, 2625L, 2627L, 2629L, 2631L, 2633L, 2635L, 2637L, 2639L, 2641L, 2642L, 2644L, 2646L, 2648L, 2650L, 2652L, 2654L, 2656L, 2658L, 2660L, 2661L, 2663L, 2665L, 2667L, 2669L, 2671L, 2673L, 2675L, 2677L, 2679L, 2680L, 2682L, 2684L, 2686L, 2688L, 2690L, 2692L, 2694L, 2696L, 2698L, 2699L, 2701L, 2703L, 2705L, 2707L, 2709L, 2711L, 2713L, 2715L, 2717L, 2718L, 2720L, 2722L, 2724L, 2726L, 2728L, 2730L, 2732L, 2734L, 2736L, 2737L, 2739L, 2741L, 2743L, 2745L, 2747L, 2749L, 2751L, 2753L, 2755L, 2756L, 2758L, 2760L, 2762L, 2764L, 2766L, 2768L, 2770L, 2772L, 2774L, 2775L, 2777L, 2779L, 2781L, 2783L, 2785L, 2787L, 2789L, 2791L, 2793L, 2794L, 2796L, 2798L, 2800L, 2802L, 2804L, 2806L, 2808L, 2810L, 2812L, 2813L, 2815L, 2817L, 2819L, 2821L, 2823L, 2825L, 2827L, 2829L, 2831L, 2832L, 2834L, 2836L, 2838L, 2840L, 2842L, 2844L, 2846L, 2848L, 2850L, 2851L, 2853L, 2855L, 2857L, 2859L, 2861L, 2863L, 2865L, 2867L, 2869L, 2870L, 2872L, 2874L, 2876L, 2878L, 2880L, 2882L, 2884L, 2886L, 2888L, 2889L, 2891L, 2893L, 2895L, 2897L, 2899L, 2901L, 2903L, 2905L, 2907L, 2908L, 2910L, 2912L, 2914L, 2916L, 2918L, 2920L, 2922L, 2924L, 2926L, 2927L, 2929L, 2931L, 2933L, 2935L, 2937L, 2939L, 2941L, 2943L, 2945L, 2946L, 2948L, 2950L, 2952L, 2954L, 2956L, 2958L, 2960L, 2962L, 2964L, 2965L, 2967L, 2969L, 2971L, 2973L, 2975L, 2977L, 2979L, 2981L, 2983L, 2984L, 2986L, 2988L, 2990L, 2992L, 2994L, 2996L, 2998L, 3000L, 3002L, 3003L, 3005L, 3007L, 3009L, 3011L, 3013L, 3015L, 3017L, 3019L, 3021L, 3022L, 3024L, 3026L, 3028L, 3030L, 3032L, 3034L, 3036L, 3038L, 3040L, 3041L, 3043L, 3045L, 3047L, 3049L, 3051L, 3053L, 3055L, 3057L, 3059L, 3060L, 3062L, 3064L, 3066L, 3068L, 3070L, 3072L, 3074L, 3076L, 3078L, 3079L, 3081L, 3083L, 3085L, 3087L, 3089L, 3091L, 3093L, 3095L, 3097L, 3098L, 3100L, 3102L, 3104L, 3106L, 3108L, 3110L, 3112L, 3114L, 3116L, 3117L, 3119L, 3121L, 3123L, 3125L, 3127L, 3129L, 3131L, 3133L, 3135L, 3136L, 3138L, 3140L, 3142L, 3144L, 3146L, 3148L, 3150L, 3152L, 3154L, 3155L, 3157L, 3159L, 3161L, 3163L, 3165L, 3167L, 3169L, 3171L, 3173L, 3174L, 3176L, 3178L, 3180L, 3182L, 3184L, 3186L, 3188L, 3190L, 3192L, 3193L, 3195L, 3197L, 3199L, 3201L, 3203L, 3205L, 3207L, 3209L, 3211L, 3212L, 3214L, 3216L, 3218L, 3220L, 3222L, 3224L, 3226L, 3228L, 3230L, 3231L, 3233L, 3235L, 3237L, 3239L, 3241L, 3243L, 3245L, 3247L, 3249L, 3250L, 3252L, 3254L, 3256L, 3258L, 3260L, 3262L, 3264L, 3266L, 3268L, 3269L, 3271L, 3273L, 3275L, 3277L, 3279L, 3281L, 3283L, 3285L, 3287L, 3288L, 3290L, 3292L, 3294L, 3296L, 3298L, 3300L, 3302L, 3304L, 3306L, 3307L, 3309L, 3311L, 3313L, 3315L, 3317L, 3319L, 3321L, 3323L, 3325L, 3326L, 3328L, 3330L, 3332L, 3334L, 3336L, 3338L, 3340L, 3342L, 3344L, 3345L, 3347L, 3349L, 3351L, 3353L, 3355L, 3357L, 3359L, 3361L, 3363L, 3364L, 3366L, 3368L, 3370L, 3372L, 3374L, 3376L, 3378L, 3380L, 3382L, 3383L, 3385L, 3387L, 3389L, 3391L, 3393L, 3395L, 3397L, 3399L, 3401L, 3402L, 3404L, 3406L, 3408L, 3410L, 3412L, 3414L, 3416L, 3418L, 3420L, 3421L, 3423L, 3425L, 3427L, 3429L, 3431L, 3433L, 3435L, 3437L, 3439L, 3440L, 3442L, 3444L, 3446L, 3448L, 3450L, 3452L, 3454L, 3456L, 3458L, 3459L, 3461L, 3463L, 3465L, 3467L, 3469L, 3471L, 3473L, 3475L, 3477L, 3478L, 3480L, 3482L, 3484L, 3486L, 3488L, 3490L, 3492L, 3494L, 3496L, 3497L, 3499L, 3501L, 3503L, 3505L, 3507L, 3509L, 3511L, 3513L, 3515L, 3516L, 3518L, 3520L, 3522L, 3524L, 3526L, 3528L, 3530L, 3532L, 3534L, 3535L, 3537L, 3539L, 3541L, 3543L, 3545L, 3547L, 3549L, 3551L, 3553L, 3554L, 3556L, 3558L, 3560L, 3562L, 3564L, 3566L, 3568L, 3570L, 3572L, 3573L, 3575L, 3577L, 3579L, 3581L, 3583L, 3585L, 3587L, 3589L, 3591L, 3592L, 3594L, 3596L, 3598L, 3600L, 3602L, 3604L, 3606L, 3608L, 3610L, 3611L, 3613L, 3615L, 3617L, 3619L, 3621L, 3623L, 3625L, 3627L, 3629L, 3630L, 3632L, 3634L, 3636L, 3638L, 3640L, 3642L, 3644L, 3646L, 3648L, 3649L, 3651L, 3653L, 3655L, 3657L, 3659L, 3661L, 3663L, 3665L, 3667L, 3668L, 3670L, 3672L, 3674L, 3676L, 3678L, 3680L, 3682L, 3684L, 3686L, 3687L, 3689L, 3691L, 3693L, 3695L, 3697L, 3699L, 3701L, 3703L, 3705L, 3706L, 3708L, 3710L, 3712L, 3714L, 3716L, 3718L, 3720L, 3722L, 3724L, 3725L, 3727L, 3729L, 3731L, 3733L, 3735L, 3737L, 3739L, 3741L, 3743L, 3744L, 3746L, 3748L, 3750L, 3752L, 3754L, 3756L, 3758L, 3760L, 3762L, 3763L, 3765L, 3767L, 3769L, 3771L, 3773L, 3775L, 3777L, 3779L, 3781L, 3782L, 3784L, 3786L, 3788L, 3790L, 3792L, 3794L, 3796L, 3798L, 3800L), Dim = c(400L, 2000L), Dimnames = list(c("1", "1", "2", "2", "3", "3", "4", "4", "5", "5", "6", "6", "7", "7", "8", "8", "9", "9", "10", "10", "11", "11", "12", "12", "13", "13", "14", "14", "15", "15", "16", "16", "17", "17", "18", "18", "19", "19", "20", "20", "21", "21", "22", "22", "23", "23", "24", "24", "25", "25", "26", "26", "27", "27", "28", "28", "29", "29", "30", "30", "31", "31", "32", "32", "33", "33", "34", "34", "35", "35", "36", "36", "37", "37", "38", "38", "39", "39", "40", "40", "41", "41", "42", "42", "43", "43", "44", "44", "45", "45", "46", "46", "47", "47", "48", "48", "49", "49", "50", "50", "51", "51", "52", "52", "53", "53", "54", "54", "55", "55", "56", "56", "57", "57", "58", "58", "59", "59", "60", "60", "61", "61", "62", "62", "63", "63", "64", "64", "65", "65", "66", "66", "67", "67", "68", "68", "69", "69", "70", "70", "71", "71", "72", "72", "73", "73", "74", "74", "75", "75", "76", "76", "77", "77", "78", "78", "79", "79", "80", "80", "81", "81", "82", "82", "83", "83", "84", "84", "85", "85", "86", "86", "87", "87", "88", "88", "89", "89", "90", "90", "91", "91", "92", "92", "93", "93", "94", "94", "95", "95", "96", "96", "97", "97", "98", "98", "99", "99", "100", "100", "101", "101", "102", "102", "103", "103", "104", "104", "105", "105", "106", "106", "107", "107", "108", "108", "109", "109", "110", "110", "111", "111", "112", "112", "113", "113", "114", "114", "115", "115", "116", "116", "117", "117", "118", "118", "119", "119", "120", "120", "121", "121", "122", "122", "123", "123", "124", "124", "125", "125", "126", "126", "127", "127", "128", "128", "129", "129", "130", "130", "131", "131", "132", "132", "133", "133", "134", "134", "135", "135", "136", "136", "137", "137", "138", "138", "139", "139", "140", "140", "141", "141", "142", "142", "143", "143", "144", "144", "145", "145", "146", "146", "147", "147", "148", "148", "149", "149", "150", "150", "151", "151", "152", "152", "153", "153", "154", "154", "155", "155", "156", "156", "157", "157", "158", "158", "159", "159", "160", "160", "161", "161", "162", "162", "163", "163", "164", "164", "165", "165", "166", "166", "167", "167", "168", "168", "169", "169", "170", "170", "171", "171", "172", "172", "173", "173", "174", "174", "175", "175", "176", "176", "177", "177", "178", "178", "179", "179", "180", "180", "181", "181", "182", "182", "183", "183", "184", "184", "185", "185", "186", "186", "187", "187", "188", "188", "189", "189", "190", "190", "191", "191", "192", "192", "193", "193", "194", "194", "195", "195", "196", "196", "197", "197", "198", "198", "199", "199", "200", "200"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180", "181", "182", "183", "184", "185", "186", "187", "188", "189", "190", "191", "192", "193", "194", "195", "196", "197", "198", "199", "200", "201", "202", "203", "204", "205", "206", "207", "208", "209", "210", "211", "212", "213", "214", "215", "216", "217", "218", "219", "220", "221", "222", "223", "224", "225", "226", "227", "228", "229", "230", "231", "232", "233", "234", "235", "236", "237", "238", "239", "240", "241", "242", "243", "244", "245", "246", "247", "248", "249", "250", "251", "252", "253", "254", "255", "256", "257", "258", "259", "260", "261", "262", "263", "264", "265", "266", "267", "268", "269", "270", "271", "272", "273", "274", "275", "276", "277", "278", "279", "280", "281", "282", "283", "284", "285", "286", "287", "288", "289", "290", "291", "292", "293", "294", "295", "296", "297", "298", "299", "300", "301", "302", "303", "304", "305", "306", "307", "308", "309", "310", "311", "312", "313", "314", "315", "316", "317", "318", "319", "320", "321", "322", "323", "324", "325", "326", "327", "328", "329", "330", "331", "332", "333", "334", "335", "336", "337", "338", "339", "340", "341", "342", "343", "344", "345", "346", "347", "348", "349", "350", "351", "352", "353", "354", "355", "356", "357", "358", "359", "360", "361", "362", "363", "364", "365", "366", "367", "368", "369", "370", "371", "372", "373", "374", "375", "376", "377", "378", "379", "380", "381", "382", "383", "384", "385", "386", "387", "388", "389", "390", "391", "392", "393", "394", "395", "396", "397", "398", "399", "400", "401", "402", "403", "404", "405", "406", "407", "408", "409", "410", "411", "412", "413", "414", "415", "416", "417", "418", "419", "420", "421", "422", "423", "424", "425", "426", "427", "428", "429", "430", "431", "432", "433", "434", "435", "436", "437", "438", "439", "440", "441", "442", "443", "444", "445", "446", "447", "448", "449", "450", "451", "452", "453", "454", "455", "456", "457", "458", "459", "460", "461", "462", "463", "464", "465", "466", "467", "468", "469", "470", "471", "472", "473", "474", "475", "476", "477", "478", "479", "480", "481", "482", "483", "484", "485", "486", "487", "488", "489", "490", "491", "492", "493", "494", "495", "496", "497", "498", "499", "500", "501", "502", "503", "504", "505", "506", "507", "508", "509", "510", "511", "512", "513", "514", "515", "516", "517", "518", "519", "520", "521", "522", "523", "524", "525", "526", "527", "528", "529", "530", "531", "532", "533", "534", "535", "536", "537", "538", "539", "540", "541", "542", "543", "544", "545", "546", "547", "548", "549", "550", "551", "552", "553", "554", "555", "556", "557", "558", "559", "560", "561", "562", "563", "564", "565", "566", "567", "568", "569", "570", "571", "572", "573", "574", "575", "576", "577", "578", "579", "580", "581", "582", "583", "584", "585", "586", "587", "588", "589", "590", "591", "592", "593", "594", "595", "596", "597", "598", "599", "600", "601", "602", "603", "604", "605", "606", "607", "608", "609", "610", "611", "612", "613", "614", "615", "616", "617", "618", "619", "620", "621", "622", "623", "624", "625", "626", "627", "628", "629", "630", "631", "632", "633", "634", "635", "636", "637", "638", "639", "640", "641", "642", "643", "644", "645", "646", "647", "648", "649", "650", "651", "652", "653", "654", "655", "656", "657", "658", "659", "660", "661", "662", "663", "664", "665", "666", "667", "668", "669", "670", "671", "672", "673", "674", "675", "676", "677", "678", "679", "680", "681", "682", "683", "684", "685", "686", "687", "688", "689", "690", "691", "692", "693", "694", "695", "696", "697", "698", "699", "700", "701", "702", "703", "704", "705", "706", "707", "708", "709", "710", "711", "712", "713", "714", "715", "716", "717", "718", "719", "720", "721", "722", "723", "724", "725", "726", "727", "728", "729", "730", "731", "732", "733", "734", "735", "736", "737", "738", "739", "740", "741", "742", "743", "744", "745", "746", "747", "748", "749", "750", "751", "752", "753", "754", "755", "756", "757", "758", "759", "760", "761", "762", "763", "764", "765", "766", "767", "768", "769", "770", "771", "772", "773", "774", "775", "776", "777", "778", "779", "780", "781", "782", "783", "784", "785", "786", "787", "788", "789", "790", "791", "792", "793", "794", "795", "796", "797", "798", "799", "800", "801", "802", "803", "804", "805", "806", "807", "808", "809", "810", "811", "812", "813", "814", "815", "816", "817", "818", "819", "820", "821", "822", "823", "824", "825", "826", "827", "828", "829", "830", "831", "832", "833", "834", "835", "836", "837", "838", "839", "840", "841", "842", "843", "844", "845", "846", "847", "848", "849", "850", "851", "852", "853", "854", "855", "856", "857", "858", "859", "860", "861", "862", "863", "864", "865", "866", "867", "868", "869", "870", "871", "872", "873", "874", "875", "876", "877", "878", "879", "880", "881", "882", "883", "884", "885", "886", "887", "888", "889", "890", "891", "892", "893", "894", "895", "896", "897", "898", "899", "900", "901", "902", "903", "904", "905", "906", "907", "908", "909", "910", "911", "912", "913", "914", "915", "916", "917", "918", "919", "920", "921", "922", "923", "924", "925", "926", "927", "928", "929", "930", "931", "932", "933", "934", "935", "936", "937", "938", "939", "940", "941", "942", "943", "944", "945", "946", "947", "948", "949", "950", "951", "952", "953", "954", "955", "956", "957", "958", "959", "960", "961", "962", "963", "964", "965", "966", "967", "968", "969", "970", "971", "972", "973", "974", "975", "976", "977", "978", "979", "980", "981", "982", "983", "984", "985", "986", "987", "988", "989", "990", "991", "992", "993", "994", "995", "996", "997", "998", "999", "1000", "1001", "1002", "1003", "1004", "1005", "1006", "1007", "1008", "1009", "1010", "1011", "1012", "1013", "1014", "1015", "1016", "1017", "1018", "1019", "1020", "1021", "1022", "1023", "1024", "1025", "1026", "1027", "1028", "1029", "1030", "1031", "1032", "1033", "1034", "1035", "1036", "1037", "1038", "1039", "1040", "1041", "1042", "1043", "1044", "1045", "1046", "1047", "1048", "1049", "1050", "1051", "1052", "1053", "1054", "1055", "1056", "1057", "1058", "1059", "1060", "1061", "1062", "1063", "1064", "1065", "1066", "1067", "1068", "1069", "1070", "1071", "1072", "1073", "1074", "1075", "1076", "1077", "1078", "1079", "1080", "1081", "1082", "1083", "1084", "1085", "1086", "1087", "1088", "1089", "1090", "1091", "1092", "1093", "1094", "1095", "1096", "1097", "1098", "1099", "1100", "1101", "1102", "1103", "1104", "1105", "1106", "1107", "1108", "1109", "1110", "1111", "1112", "1113", "1114", "1115", "1116", "1117", "1118", "1119", "1120", "1121", "1122", "1123", "1124", "1125", "1126", "1127", "1128", "1129", "1130", "1131", "1132", "1133", "1134", "1135", "1136", "1137", "1138", "1139", "1140", "1141", "1142", "1143", "1144", "1145", "1146", "1147", "1148", "1149", "1150", "1151", "1152", "1153", "1154", "1155", "1156", "1157", "1158", "1159", "1160", "1161", "1162", "1163", "1164", "1165", "1166", "1167", "1168", "1169", "1170", "1171", "1172", "1173", "1174", "1175", "1176", "1177", "1178", "1179", "1180", "1181", "1182", "1183", "1184", "1185", "1186", "1187", "1188", "1189", "1190", "1191", "1192", "1193", "1194", "1195", "1196", "1197", "1198", "1199", "1200", "1201", "1202", "1203", "1204", "1205", "1206", "1207", "1208", "1209", "1210", "1211", "1212", "1213", "1214", "1215", "1216", "1217", "1218", "1219", "1220", "1221", "1222", "1223", "1224", "1225", "1226", "1227", "1228", "1229", "1230", "1231", "1232", "1233", "1234", "1235", "1236", "1237", "1238", "1239", "1240", "1241", "1242", "1243", "1244", "1245", "1246", "1247", "1248", "1249", "1250", "1251", "1252", "1253", "1254", "1255", "1256", "1257", "1258", "1259", "1260", "1261", "1262", "1263", "1264", "1265", "1266", "1267", "1268", "1269", "1270", "1271", "1272", "1273", "1274", "1275", "1276", "1277", "1278", "1279", "1280", "1281", "1282", "1283", "1284", "1285", "1286", "1287", "1288", "1289", "1290", "1291", "1292", "1293", "1294", "1295", "1296", "1297", "1298", "1299", "1300", "1301", "1302", "1303", "1304", "1305", "1306", "1307", "1308", "1309", "1310", "1311", "1312", "1313", "1314", "1315", "1316", "1317", "1318", "1319", "1320", "1321", "1322", "1323", "1324", "1325", "1326", "1327", "1328", "1329", "1330", "1331", "1332", "1333", "1334", "1335", "1336", "1337", "1338", "1339", "1340", "1341", "1342", "1343", "1344", "1345", "1346", "1347", "1348", "1349", "1350", "1351", "1352", "1353", "1354", "1355", "1356", "1357", "1358", "1359", "1360", "1361", "1362", "1363", "1364", "1365", "1366", "1367", "1368", "1369", "1370", "1371", "1372", "1373", "1374", "1375", "1376", "1377", "1378", "1379", "1380", "1381", "1382", "1383", "1384", "1385", "1386", "1387", "1388", "1389", "1390", "1391", "1392", "1393", "1394", "1395", "1396", "1397", "1398", "1399", "1400", "1401", "1402", "1403", "1404", "1405", "1406", "1407", "1408", "1409", "1410", "1411", "1412", "1413", "1414", "1415", "1416", "1417", "1418", "1419", "1420", "1421", "1422", "1423", "1424", "1425", "1426", "1427", "1428", "1429", "1430", "1431", "1432", "1433", "1434", "1435", "1436", "1437", "1438", "1439", "1440", "1441", "1442", "1443", "1444", "1445", "1446", "1447", "1448", "1449", "1450", "1451", "1452", "1453", "1454", "1455", "1456", "1457", "1458", "1459", "1460", "1461", "1462", "1463", "1464", "1465", "1466", "1467", "1468", "1469", "1470", "1471", "1472", "1473", "1474", "1475", "1476", "1477", "1478", "1479", "1480", "1481", "1482", "1483", "1484", "1485", "1486", "1487", "1488", "1489", "1490", "1491", "1492", "1493", "1494", "1495", "1496", "1497", "1498", "1499", "1500", "1501", "1502", "1503", "1504", "1505", "1506", "1507", "1508", "1509", "1510", "1511", "1512", "1513", "1514", "1515", "1516", "1517", "1518", "1519", "1520", "1521", "1522", "1523", "1524", "1525", "1526", "1527", "1528", "1529", "1530", "1531", "1532", "1533", "1534", "1535", "1536", "1537", "1538", "1539", "1540", "1541", "1542", "1543", "1544", "1545", "1546", "1547", "1548", "1549", "1550", "1551", "1552", "1553", "1554", "1555", "1556", "1557", "1558", "1559", "1560", "1561", "1562", "1563", "1564", "1565", "1566", "1567", "1568", "1569", "1570", "1571", "1572", "1573", "1574", "1575", "1576", "1577", "1578", "1579", "1580", "1581", "1582", "1583", "1584", "1585", "1586", "1587", "1588", "1589", "1590", "1591", "1592", "1593", "1594", "1595", "1596", "1597", "1598", "1599", "1600", "1601", "1602", "1603", "1604", "1605", "1606", "1607", "1608", "1609", "1610", "1611", "1612", "1613", "1614", "1615", "1616", "1617", "1618", "1619", "1620", "1621", "1622", "1623", "1624", "1625", "1626", "1627", "1628", "1629", "1630", "1631", "1632", "1633", "1634", "1635", "1636", "1637", "1638", "1639", "1640", "1641", "1642", "1643", "1644", "1645", "1646", "1647", "1648", "1649", "1650", "1651", "1652", "1653", "1654", "1655", "1656", "1657", "1658", "1659", "1660", "1661", "1662", "1663", "1664", "1665", "1666", "1667", "1668", "1669", "1670", "1671", "1672", "1673", "1674", "1675", "1676", "1677", "1678", "1679", "1680", "1681", "1682", "1683", "1684", "1685", "1686", "1687", "1688", "1689", "1690", "1691", "1692", "1693", "1694", "1695", "1696", "1697", "1698", "1699", "1700", "1701", "1702", "1703", "1704", "1705", "1706", "1707", "1708", "1709", "1710", "1711", "1712", "1713", "1714", "1715", "1716", "1717", "1718", "1719", "1720", "1721", "1722", "1723", "1724", "1725", "1726", "1727", "1728", "1729", "1730", "1731", "1732", "1733", "1734", "1735", "1736", "1737", "1738", "1739", "1740", "1741", "1742", "1743", "1744", "1745", "1746", "1747", "1748", "1749", "1750", "1751", "1752", "1753", "1754", "1755", "1756", "1757", "1758", "1759", "1760", "1761", "1762", "1763", "1764", "1765", "1766", "1767", "1768", "1769", "1770", "1771", "1772", "1773", "1774", "1775", "1776", "1777", "1778", "1779", "1780", "1781", "1782", "1783", "1784", "1785", "1786", "1787", "1788", "1789", "1790", "1791", "1792", "1793", "1794", "1795", "1796", "1797", "1798", "1799", "1800", "1801", "1802", "1803", "1804", "1805", "1806", "1807", "1808", "1809", "1810", "1811", "1812", "1813", "1814", "1815", "1816", "1817", "1818", "1819", "1820", "1821", "1822", "1823", "1824", "1825", "1826", "1827", "1828", "1829", "1830", "1831", "1832", "1833", "1834", "1835", "1836", "1837", "1838", "1839", "1840", "1841", "1842", "1843", "1844", "1845", "1846", "1847", "1848", "1849", "1850", "1851", "1852", "1853", "1854", "1855", "1856", "1857", "1858", "1859", "1860", "1861", "1862", "1863", "1864", "1865", "1866", "1867", "1868", "1869", "1870", "1871", "1872", "1873", "1874", "1875", "1876", "1877", "1878", "1879", "1880", "1881", "1882", "1883", "1884", "1885", "1886", "1887", "1888", "1889", "1890", "1891", "1892", "1893", "1894", "1895", "1896", "1897", "1898", "1899", "1900", "1901", "1902", "1903", "1904", "1905", "1906", "1907", "1908", "1909", "1910", "1911", "1912", "1913", "1914", "1915", "1916", "1917", "1918", "1919", "1920", "1921", "1922", "1923", "1924", "1925", "1926", "1927", "1928", "1929", "1930", "1931", "1932", "1933", "1934", "1935", "1936", "1937", "1938", "1939", "1940", "1941", "1942", "1943", "1944", "1945", "1946", "1947", "1948", "1949", "1950", "1951", "1952", "1953", "1954", "1955", "1956", "1957", "1958", "1959", "1960", "1961", "1962", "1963", "1964", "1965", "1966", "1967", "1968", "1969", "1970", "1971", "1972", "1973", "1974", "1975", "1976", "1977", "1978", "1979", "1980", "1981", "1982", "1983", "1984", "1985", "1986", "1987", "1988", "1989", "1990", "1991", "1992", "1993", "1994", "1995", "1996", "1997", "1998", "1999", "2000")), x = c(1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2), factors = list())), nl = c(Id = 200L)), REML = TRUE, wmsgs = character(0), start = NULL, verbose = FALSE, control = list(optimizer = "nloptwrap", restart_edge = TRUE, boundary.tol = 1e-05, calc.derivs = TRUE, use.last.params = FALSE, checkControl = list(check.nobs.vs.rankZ = "ignore", check.nobs.vs.nlev = "stop", check.nlev.gtreq.5 = "ignore", check.nlev.gtr.1 = "stop", check.nobs.vs.nRE = "stop", check.rankX = "message+drop.cols", check.scaleX = "warning", check.formula.LHS = "stop"), checkConv = list(check.conv.grad = list(action = "warning", tol = 0.002, relTol = NULL), check.conv.singular = list( action = "message", tol = 1e-04), check.conv.hess = list( action = "warning", tol = 1e-06)), optCtrl = list())) 10: do.call(mkLmerDevfun, c(lmod, list(start = start, verbose = verbose, control = control))) 11: lme4::lmer(formula = method$formula, data = data, REML = method$REML, control = method$control, verbose = canShow(verbose, "fine")) 12: .local(method, data, verbose, ...) 13: prepareData(method = cmethod, data = modelData, verbose = verbose) 14: prepareData(method = cmethod, data = modelData, verbose = verbose) 15: latrend(method, latrendData) An irrecoverable exception occurred. R is aborting now ... * checking for unstated dependencies in 'tests' ... OK * checking tests ... Running 'testthat.R'/home/th798/R/R-release/bin/BATCH: line 60: 4047129 Segmentation fault (core dumped) ${R_HOME}/bin/R -f ${in} ${opts} ${R_BATCH_OPTIONS} > ${out} 2>&1 ERROR Running the tests in 'tests/testthat.R' failed. Complete output: > library(testthat) > library(latrend) > > test_check('latrend') *** caught segfault *** address (nil), cause 'unknown' Traceback: 1: .Call(merPredDCreate, as(X, "matrix"), Lambdat, LamtUt, Lind, RZX, Ut, Utr, V, VtV, Vtr, Xwts, Zt, beta0, delb, delu, theta, u0) 2: initializePtr() 3: .Object$initialize(...) 4: initialize(value, ...) 5: initialize(value, ...) 6: methods::new(def, ...) 7: (new("refMethodDef", .Data = function (...) { methods::new(def, ...)}, mayCall = c("methods", "new"), name = "new", refClassName = "refGeneratorSlot", superClassMethod = ""))(Zt = new("dgCMatrix", i = c(0L, 0L, ... 8: do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) 9: (function (fr, X, reTrms, REML = TRUE, start = NULL, verbose = 0, control = lmerControl(), ...) { p <- ncol(X) rho <- new.env(parent = parent.env(environment())) ... 10: do.call(mkLmerDevfun, c(lmod, list(start = start, verbose = verbose, control = control))) 11: lme4::lmer(formula = method$formula, data = data, REML = method$REML, control = method$control, verbose = canShow(verbose, "fine")) 12: .local(method, data, verbose, ...) 13: prepareData(method = cmethod, data = modelData, verbose = verbose) 14: prepareData(method = cmethod, data = modelData, verbose = verbose) 15: latrend(m, data = testData) 16: eval(exprs[i], envir) 17: eval(exprs[i], envir) 18: sys.source(file, envir = env) 19: eval(quoted_code, env) 20: eval(quoted_code, env) 21: withCallingHandlers(eval(quoted_code, env), error = capture_calls) 22: doTryCatch(return(expr), name, parentenv, handler) 23: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 24: tryCatchList(expr, classes, parentenv, handlers) 25: tryCatch(withCallingHandlers(eval(quoted_code, env), error = capture_calls), error = identity) 26: evaluate::try_capture_stack(quote(sys.source(file, envir = env)), evalEnv) 27: test.latrend("lcMethodGCKM", instantiator = make.gckm, tests = tests) 28: eval_bare(expr, quo_get_env(quo)) 29: quasi_label(enquo(object), label, arg = "object") 30: expect_true({ test.latrend("lcMethodGCKM", instantiator = make.gckm, tests = tests)}) 31: eval(code, test_env) 32: eval(code, test_env) 33: withCallingHandlers({ eval(code, test_env) if (!handled && !is.null(test)) { skip_empty() } ... 34: doTryCatch(return(expr), name, parentenv, handler) 35: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 36: tryCatchList(expr, names[-nh], parentenv, handlers[-nh]) 37: doTryCatch(return(expr), name, parentenv, handler) 38: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), names[nh], parentenv, handlers[[nh]]) 39: tryCatchList(expr, classes, parentenv, handlers) 40: tryCatch(withCallingHandlers({ eval(code, test_env) if (!handled && !is.null(test)) { skip_empty() } ... 41: test_code(desc, code, env = parent.frame(), default_reporter = local_interactive_reporter()) 42: test_that("gckm", { expect_true({ test.latrend("lcMethodGCKM", instantiator = make.gckm, tests = tests) }) ... 43: eval(code, test_env) 44: eval(code, test_env) 45: withCallingHandlers({ eval(code, test_env) if (!handled && !is.null(test)) { skip_empty() } ... 46: doTryCatch(return(expr), name, parentenv, handler) 47: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 48: tryCatchList(expr, names[-nh], parentenv, handlers[-nh]) 49: doTryCatch(return(expr), name, parentenv, handler) 50: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), names[nh], parentenv, handlers[[nh]]) 51: tryCatchList(expr, classes, parentenv, handlers) 52: tryCatch(withCallingHandlers({ eval(code, test_env) if (!handled && !is.null(test)) { skip_empty() } ... 53: test_code(test = NULL, code = exprs, env = env, default_reporter = StopReporter$new()) 54: source_file(path, env = env(env), desc = desc, error_call = error_call) 55: FUN(X[[i]], ...) 56: lapply(test_paths, test_one_file, env = env, desc = desc, error_call = error_call) 57: doTryCatch(return(expr), name, parentenv, handler) 58: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 59: tryCatchList(expr, classes, parentenv, handlers) 60: tryCatch(code, testthat_abort_reporter = function(cnd) { cat(conditionMessage(cnd), "\n") NULL}) 61: with_reporter(reporters$multi, lapply(test_paths, test_one_file, env = env, desc = desc, error_call = error_call)) 62: test_files_serial(test_dir = test_dir, test_package = test_package, test_paths = test_paths, load_helpers = load_helpers, reporter = reporter, env = env, stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, desc = desc, load_package = load_package, error_call = error_call) 63: test_files(test_dir = path, test_paths = test_paths, test_package = package, reporter = reporter, load_helpers = load_helpers, env = env, stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, load_package = load_package, parallel = parallel) 64: test_dir("testthat", package = package, reporter = reporter, ..., load_package = "installed") 65: test_check("latrend") An irrecoverable exception occurred. R is aborting now ... * checking for unstated dependencies in vignettes ... OK * checking package vignettes ... OK * checking re-building of vignette outputs ... ERROR Error(s) in re-building vignettes: --- re-building 'demo.Rmd' using rmarkdown --------------------------------------------------------------------------- - Longitudinal clustering using: longitudinal k-means (KML) --------------------------------------------------------------------------- Method arguments: time: getOption("latrend.time") id: getOption("latrend.id") nClusters: 2 nbRedrawing: 1 maxIt: 200 imputationMethod:"copyMean" distanceName: "euclidean" power: 2 distance: function() {} centerMethod: meanNA startingCond: "nearlyAll" nbCriterion: 1000 scale: TRUE response: "Y" --------------------------------------------------------------------------- Checking and transforming the training data format. Preparing the training data for fitting... Fitting the method... Done fitting the method (0.39 secs) --------------------------------------------------------------------------- --- finished re-building 'demo.Rmd' --- re-building 'implement.Rmd' using rmarkdown --------------------------------------------------------------------------- - Longitudinal clustering using: stratify --------------------------------------------------------------------------- Method arguments: center: meanNA nClusters: NaN clusterNames: NULL time: getOption("latrend.time") id: getOption("latrend.id") name: "stratify" response: "Y" stratify: Y[1] > 1.6 --------------------------------------------------------------------------- Checking and transforming the training data format. Preparing the training data for fitting... Fitting the method... Done fitting the method (0.026 secs) --------------------------------------------------------------------------- --------------------------------------------------------------------------- - Longitudinal clustering using: stratify --------------------------------------------------------------------------- Method arguments: center: mean nClusters: NaN clusterNames: NULL time: getOption("latrend.time") id: getOption("latrend.id") name: "stratify" response: "Y" stratify: stratfun --------------------------------------------------------------------------- Checking and transforming the training data format. Preparing the training data for fitting... Fitting the method... Done fitting the method (0.19 secs) --------------------------------------------------------------------------- --------------------------------------------------------------------------- - Longitudinal clustering using: stratify --------------------------------------------------------------------------- Method arguments: center: meanNA nClusters: NaN clusterNames: c("Low", "High") time: getOption("latrend.time") id: getOption("latrend.id") name: "stratify" response: "Y" stratify: Intercept[1] > 1.7 --------------------------------------------------------------------------- Checking and transforming the training data format. Preparing the training data for fitting... Fitting the method... Done fitting the method (0.016 secs) --------------------------------------------------------------------------- --------------------------------------------------------------------------- - Longitudinal clustering using: two-step clustering --------------------------------------------------------------------------- Method arguments: standardize: scale center: meanNA time: getOption("latrend.time") id: getOption("latrend.id") response: "Y" representationStep:repStep clusterStep: clusStep --------------------------------------------------------------------------- Checking and transforming the training data format. Preparing the training data for fitting... Fitting the method... Done fitting the method (0.17 secs) --------------------------------------------------------------------------- --------------------------------------------------------------------------- - Longitudinal clustering using: two-step clustering --------------------------------------------------------------------------- Method arguments: nClusters: 2 formula: Y ~ Time standardize: scale center: meanNA time: getOption("latrend.time") id: getOption("latrend.id") response: "Y" representationStep:repStep.gen clusterStep: clusStep.gen --------------------------------------------------------------------------- Checking and transforming the training data format. Preparing the training data for fitting... Fitting the method... Done fitting the method (0.21 secs) --------------------------------------------------------------------------- --- finished re-building 'implement.Rmd' sh: line 1: 4058111 Segmentation fault (core dumped) '/home/th798/R/R-release/bin/R' --vanilla --no-echo > '/tmp/th798/16170037/RtmpUhGDWf/file3ddc943cc898dc' 2>&1 < '/tmp/th798/16170037/RtmpUhGDWf/file3ddc947000d56f' --- re-building 'simulation.Rmd' using rmarkdown *** caught segfault *** address (nil), cause 'unknown' Traceback: 1: .Call(merPredDCreate, as(X, "matrix"), Lambdat, LamtUt, Lind, RZX, Ut, Utr, V, VtV, Vtr, Xwts, Zt, beta0, delb, delu, theta, u0) 2: initializePtr() 3: .Object$initialize(...) 4: initialize(value, ...) 5: initialize(value, ...) 6: methods::new(def, ...) 7: (new("refMethodDef", .Data = function (...) { methods::new(def, ...)}, mayCall = c("methods", "new"), name = "new", refClassName = "refGeneratorSlot", superClassMethod = ""))(Zt = new("dgCMatrix", i = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L), p = 0:550, Dim = c(50L, 550L), Dimnames = list(c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180", "181", "182", "183", "184", "185", "186", "187", "188", "189", "190", "191", "192", "193", "194", "195", "196", "197", "198", "199", "200", "201", "202", "203", "204", "205", "206", "207", "208", "209", "210", "211", "212", "213", "214", "215", "216", "217", "218", "219", "220", "221", "222", "223", "224", "225", "226", "227", "228", "229", "230", "231", "232", "233", "234", "235", "236", "237", "238", "239", "240", "241", "242", "243", "244", "245", "246", "247", "248", "249", "250", "251", "252", "253", "254", "255", "256", "257", "258", "259", "260", "261", "262", "263", "264", "265", "266", "267", "268", "269", "270", "271", "272", "273", "274", "275", "276", "277", "278", "279", "280", "281", "282", "283", "284", "285", "286", "287", "288", "289", "290", "291", "292", "293", "294", "295", "296", "297", "298", "299", "300", "301", "302", "303", "304", "305", "306", "307", "308", "309", "310", "311", "312", "313", "314", "315", "316", "317", "318", "319", "320", "321", "322", "323", "324", "325", "326", "327", "328", "329", "330", "331", "332", "333", "334", "335", "336", "337", "338", "339", "340", "341", "342", "343", "344", "345", "346", "347", "348", "349", "350", "351", "352", "353", "354", "355", "356", "357", "358", "359", "360", "361", "362", "363", "364", "365", "366", "367", "368", "369", "370", "371", "372", "373", "374", "375", "376", "377", "378", "379", "380", "381", "382", "383", "384", "385", "386", "387", "388", "389", "390", "391", "392", "393", "394", "395", "396", "397", "398", "399", "400", "401", "402", "403", "404", "405", "406", "407", "408", "409", "410", "411", "412", "413", "414", "415", "416", "417", "418", "419", "420", "421", "422", "423", "424", "425", "426", "427", "428", "429", "430", "431", "432", "433", "434", "435", "436", "437", "438", "439", "440", "441", "442", "443", "444", "445", "446", "447", "448", "449", "450", "451", "452", "453", "454", "455", "456", "457", "458", "459", "460", "461", "462", "463", "464", "465", "466", "467", "468", "469", "470", "471", "472", "473", "474", "475", "476", "477", "478", "479", "480", "481", "482", "483", "484", "485", "486", "487", "488", "489", "490", "491", "492", "493", "494", "495", "496", "497", "498", "499", "500", "501", "502", "503", "504", "505", "506", "507", "508", "509", "510", "511", "512", "513", "514", "515", "516", "517", "518", "519", "520", "521", "522", "523", "524", "525", "526", "527", "528", "529", "530", "531", "532", "533", "534", "535", "536", "537", "538", "539", "540", "541", "542", "543", "544", "545", "546", "547", "548", "549", "550")), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), theta = 1, Lambdat = new("dgCMatrix", i = 0:49, p = 0:50, Dim = c(50L, 50L), Dimnames = list(NULL, NULL), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), Lind = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), n = 550L, X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1)) 8: do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) 9: (function (fr, X, reTrms, REML = TRUE, start = NULL, verbose = 0, control = lmerControl(), ...) { p <- ncol(X) rho <- new.env(parent = parent.env(environment())) rho$pp <- do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) REMLpass <- if (REML) p else 0L rho$resp <- if (missing(fr)) mkRespMod(REML = REMLpass, ...) else mkRespMod(fr, REML = REMLpass) pp <- resp <- NULL rho$lmer_Deviance <- lmer_Deviance devfun <- function(theta) .Call(lmer_Deviance, pp$ptr(), resp$ptr(), as.double(theta)) environment(devfun) <- rho if (is.null(start) && all(reTrms$cnms == "(Intercept)") && length(reTrms$flist) == length(reTrms$lower) && !is.null(y <- model.response(fr))) { v <- sapply(reTrms$flist, function(f) var(ave(y, f))) v.e <- var(y) - sum(v) if (!is.na(v.e) && v.e > 0) { v.rel <- v/v.e if (all(v.rel >= reTrms$lower^2)) rho$pp$setTheta(sqrt(v.rel)) } } if (length(rho$resp$y) > 0) devfun(rho$pp$theta) rho$lower <- reTrms$lower devfun})(fr = list(Y = c(-0.0228347930375264, -0.12384802039931, -0.0285334119317908, -0.175581690682312, 0.0806569890958704, 0.135394608776353, -0.0993675287208841, -0.167058843705886, -0.00567341832999195, -0.0761508414623157, 0.177516394976244, 0.0144403321488913, 0.0873382686672859, 0.0211645483002748, -0.0559629884660323, 0.0372435623736425, -0.162131530466896, 0.164919818578497, 0.033689666243398, 0.235625499458424, 0.0659152853121745, -0.0526303106699732, -0.0224902258920992, -0.17697262440543, -0.208926201264915, -0.0544182376892584, -0.127892048562848, -0.0834523260778423, -0.0761287288258383, -0.142514955859812, -0.140429734522855, -0.0970807227533879, 0.0342458384163157, 0.00717140017080298, 0.218922698976621, 0.192823117335131, 0.265838063941415, 0.129109687850349, 0.196529961205408, 0.186237959291002, 0.105276077114614, 0.280314860812096, 0.275568341783274, 0.229549445165279, 0.191634122635621, 0.0887994197380664, -0.0947084436642676, -0.0243757642421526, -0.0895104843082995, -0.0143892864623951, -0.0290858905408764, 0.0371623644959596, -0.0581413876737085, 0.0487536544219435, -0.0325076872103457, 0.0946818885254631, -0.010376090810081, 0.00897058453772119, -0.0436283026291671, 0.0861707696401403, -0.145620483806699, -0.128211311447858, 0.0611813854423648, -0.147116473742838, -0.102784912771998, -0.121327631356, 0.0167436183879978, 0.0208315749451926, 0.0981617383696312, 0.0310098570158879, -0.00185284096857721, 0.18304678775989, 0.0272849643881617, 0.0307872522385098, 0.0387238311214923, 0.120009535947989, 0.0413864648302159, 0.0700690533662169, 0.00566642263735603, 0.0414054432882898, 0.0798485145563732, 0.0149430218869554, 0.126982089776179, -0.078006937665757, 0.104488256591898, -0.0798125118408369, 0.0437348578292607, 0.0210044800684211, -0.00763134290275065, 0.05188845738061, -0.133857807402652, 0.175236466367205, -0.108919108455851, 0.0112250950181107, -0.0540138753389353, -0.0175037649539956, 0.266294789728184, 0.0593176971346744, -0.0710519178780833, -0.194599392157493, 0.01447987141163, -0.0323948219870994, -0.06234567617002, -0.123475053461006, -0.179284869729784, -0.138058068377204, 0.0694640416557558, -0.0926655081953179, -0.168981523454085, 0.156390223526722, 0.19368815458233, 0.127313406753782, 0.257026421715987, 0.239820381982578, 0.0892538120219701, 0.371788363299132, 0.125675413830983, 0.00872865182380397, 0.136738156649663, 0.171931950768319, 0.381975956751021, 0.0495645604305143, 0.0846842041834845, 0.03126903010549, 0.00558423940448866, 0.0355117208100155, 0.117748284204159, 0.246508824506372, 0.14172356751752, 0.159775163479814, -0.0841480185146613, 0.137373880646481, -0.0401315776881152, -0.208849060963405, -0.0100217837893665, -0.077999518525782, 0.0843346731427994, -0.138732258014647, -0.105145233447035, -0.154735007791924, -0.0798344541978344, -0.0219228801055466, -0.135298875366141, -0.138432671919583, -0.342278267348196, -0.326268429998524, -0.0773542180333219, -0.323054735248215, -0.180272517485999, -0.259577593828642, -0.180529804752657, -0.0525826600973454, -0.062811145373553, -0.254560768786027, -0.116030461714936, 0.362259250797727, 0.17919970849086, 0.166625825410681, 0.11115313949972, 0.163503934109603, 0.0960555086373441, 0.154562556139762, 0.0724684174165464, -0.0245276959404352, 0.211276918559799, 0.147481141648431, -0.0353674178240845, -0.129822336462292, 0.0597307696662593, -0.008964274590921, -0.177815201584007, -0.00428017493349612, -0.0675233942943377, -0.0385902188875636, -0.120150597165108, 0.175820829890224, -0.0347322299490167, -0.162170367535202, 0.0181003175640535, 0.0246985383306528, -0.100201696350824, -0.290511093477849, -0.0656671965664061, 0.0554317372821539, -0.00759135391415561, -0.0114369007104181, 0.054463046552117, -0.0242622427894175, 0.204061325495954, 0.0938492182407134, 0.165114687808338, 0.197794394542276, 0.11673166256006, 0.00651285978192806, 0.210680076665263, -0.105632873410018, 0.0399045470683575, 0.0688165501528311, 0.0655100158333082, 0.18416851038822, 0.0957443088200866, 0.122838879852192, 0.0751566382085184, 0.0573556853478758, 0.151677200171773, 0.196744955231389, -0.158187501979378, 0.139396075034393, 0.119594560187674, 0.0168633599661433, 0.154491412879433, 0.020466413949913, 0.0309570659417935, 0.145131109929731, 0.231352862033811, 0.0863956222154738, 0.0171717311429869, -0.0595211973642076, 0.0262868342338499, -0.0345928005292513, 1.06600447884894, 1.03133565398298, 0.806712027958436, 1.05681442527031, 0.70749890472733, 0.704918463906316, 0.262985339176811, 0.465997852880366, 0.160273221115666, 0.283878104921736, 0.131710752706017, 1.03746077214613, 1.11063949309083, 0.808090463148415, 0.720152199649053, 0.578106411970565, 0.511395769397767, 0.572732125410415, 0.421583845027623, 0.378729551840811, 0.139201763667739, 0.115850659250572, 1.03187299078517, 0.764830764098265, 0.985299427084064, 0.720901264429887, 0.684016398252306, 0.602970166027417, 0.402399928192292, 0.276874956359822, 0.29682386857907, 0.0027266834303895, 0.204590236958934, 0.762701619784827, 0.866479360641162, 0.752286099808726, 0.509361403772254, 0.457786921898813, 0.198609982460217, 0.233365480715906, 0.205426076249281, 0.0109726791033825, -0.144348860501773, -0.264513354831381, 1.05839033252722, 1.06889872085715, 0.813585081759343, 0.749881563656727, 0.532568574407387, 0.611413858390957, 0.592772726800886, 0.511686675729749, 0.343452847879207, -0.0249963042307903, 0.110185525201847, 1.04000068637722, 0.859047097464109, 0.811436073141898, 0.607983530634409, 0.662310203448665, 0.461677024581789, 0.237478907532705, 0.257642050430052, 0.330830618954085, 0.0609589895739835, 0.0676621302680101, 1.07907901334925, 0.884860319762104, 0.749188218774482, 0.631450898416117, 0.658379371886947, 0.378074707781186, 0.409041533683107, 0.255470512673036, -0.0420684863193274, -0.0564645962778523, 0.0760223822087244, 0.833796866556553, 0.833253083223437, 0.841672207940933, 0.700312879720986, 0.520651610841372, 0.390921030266747, 0.233644918964339, 0.310713941100512, 0.112548172541918, -0.164432932477063, -0.162639491878959, 0.760294012462154, 0.832659109878074, 0.492952227494539, 0.783585211208943, 0.488630694385924, 0.409187110619719, 0.335253161258942, 0.313406811888051, 0.220019012211408, 0.108980191736305, -0.105069265903475, 0.905465030392136, 0.90292193158618, 0.869585569265025, 0.659486043862768, 0.634910062572124, 0.42502792340699, 0.44096325459841, 0.354679696179711, 0.22720659317387, 0.125403060346363, 0.218149356298462, 1.21212660639474, 1.14701106322597, 0.843547259869921, 0.8523021389957, 0.851350473862632, 0.630215812700255, 0.322931890329439, 0.47035253136285, 0.145372410594351, 0.154750939838883, 0.268268387282865, 1.05128491219597, 0.998888122819237, 0.820381713417064, 0.678705351017415, 0.497289949952972, 0.64901260263762, 0.394222287077888, 0.218208387198912, 0.276243537237414, 0.19716532309349, 0.179286704685558, 0.978467430795427, 0.899680379083623, 0.797144958002918, 0.701201418873898, 0.602104066585701, 0.509199415885848, 0.582949202175924, 0.269013331964633, 0.199950410563801, 0.204020806373089, 0.15124440580945, 0.917408415639317, 0.843810874327881, 0.846981554991511, 0.796394918595506, 0.569503037132912, 0.351620151202849, 0.565531599151798, 0.438126453172872, 0.123582381356721, 0.0881127385761511, -0.181327377594884, 0.919266341499049, 0.923528724137318, 0.498565979606668, 0.484337192996965, 0.398176350942083, 0.294180904960024, 0.0589654847553442, 0.21239040024193, -0.090885769679435, -0.040205719610687, -0.0784074835803314, 0.938681001521568, 0.947701382917385, 0.755929036578217, 0.593734498611465, 0.623136485173496, 0.415117269667073, 0.535761662167882, 0.256674572553731, 0.243782043030085, 0.0790168339944346, -0.342304316222016, 0.823959811496067, 0.818160778614484, 0.784251371003521, 0.426298692593069, 0.656740667967036, 0.400128431243521, 0.285283276692674, 0.10500984537454, 0.0151816308288592, 0.0662041882344061, 0.0115079452963543, 0.784280364350451, 0.793632462383948, 0.847645832554141, 0.64876495186389, 0.810605510510608, 0.618643327603692, 0.453618463735841, 0.2945571052827, 0.222004738534407, 0.0234780478021188, 0.0568703756246065, 1.25802393320696, 1.11834552820672, 0.828678111531979, 0.648114852276029, 0.699036967249564, 0.654091474290086, 0.645101935179248, 0.278141588745032, 0.346440996459133, 0.23335252070724, 0.229398063324293, 1.0735265776328, 0.940587689395329, 0.761636161233918, 0.724575526486392, 0.640105197587927, 0.811373007424665, 0.72097071241575, 0.359647246897327, 0.171950830939566, -0.0209759185617129, 0.127784738189557, 0.874490282001156, 1.11201357292908, 0.694985883108845, 0.694658283349213, 0.964575308445708, 0.372656640580316, 0.414304302816787, 0.172858193152125, 0.218313005256837, -0.00377881313156311, -0.00872204735166633, 0.944976967770687, 0.756339607943082, 0.775793100828739, 0.773823935592286, 0.734060577376723, 0.337392704893432, 0.349702738682117, 0.390606284671904, 0.0632415972019895, -0.17818623689869, -0.118926423864982, 0.972972391746917, 0.974445196773253, 0.82932265819067, 0.792845950364937, 0.627459096747799, 0.607108177010004, 0.433095760040772, 0.48870648219258, 0.195963585014751, 0.1987630020844, -0.0187886192879718, 1.07646696775445, 0.950893302619513, 0.687214255253507, 0.74124366420547, 0.773687686417631, 0.623806312187316, 0.469991082956121, 0.236434675496074, 0.372589185146275, 0.163586490761903, 0.010488944590498, 1.09532725182513, 0.754165198385096, 0.761460526620833, 0.759298172663399, 0.591346710062091, 0.400422204091364, 0.289282620202784, 0.266637983549656, 0.182472542005004, 0.032985170577922, 0.0629693277707158, 0.922667284319973, 0.759220876472018, 0.782983097455922, 0.409072252068396, 0.568447858683629, 0.47894657954616, 0.306763012760798, 0.117536167770599, 0.0897510239724003, 0.184233518527419, -0.145100963676079, 0.803286984440726, 1.0176827404346, 0.786327130493548, 0.685369539618447, 0.514921792098182, 0.534202333378961, 0.506582126256654, 0.277709993654703, 0.175785402071804, 0.246122217713712, 0.0117072285056534, 1.06086312111922, 0.914275467378034, 0.966896756011565, 0.677433929524919, 0.761778331039578, 0.657423521349185, 0.43009319885242, 0.461695323823876, 0.375530278811143, 0.234415321303478, 0.279337496993358, 0.792530059662473, 0.772273285721218, 0.651113457411894, 0.705533372231954, 0.747228286700949, 0.656554274082602, 0.437595048624473, 0.37663270504101, 0.174277891381989, 0.135662554792398, 0.0263889264979256, 1.01200674513977, 0.958781279270335, 0.87462664620467, 0.927495354262723, 0.584411903675592, 0.376677257865056, 0.564938594465861, 0.306494710570073, 0.244500080329364, 0.278581275773702, 0.0118021461905898), Time = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1), Traj = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L)), X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1), reTrms = list(Zt = new("dgCMatrix", i = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L), p = 0:550, Dim = c(50L, 550L), Dimnames = list( c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180", "181", "182", "183", "184", "185", "186", "187", "188", "189", "190", "191", "192", "193", "194", "195", "196", "197", "198", "199", "200", "201", "202", "203", "204", "205", "206", "207", "208", "209", "210", "211", "212", "213", "214", "215", "216", "217", "218", "219", "220", "221", "222", "223", "224", "225", "226", "227", "228", "229", "230", "231", "232", "233", "234", "235", "236", "237", "238", "239", "240", "241", "242", "243", "244", "245", "246", "247", "248", "249", "250", "251", "252", "253", "254", "255", "256", "257", "258", "259", "260", "261", "262", "263", "264", "265", "266", "267", "268", "269", "270", "271", "272", "273", "274", "275", "276", "277", "278", "279", "280", "281", "282", "283", "284", "285", "286", "287", "288", "289", "290", "291", "292", "293", "294", "295", "296", "297", "298", "299", "300", "301", "302", "303", "304", "305", "306", "307", "308", "309", "310", "311", "312", "313", "314", "315", "316", "317", "318", "319", "320", "321", "322", "323", "324", "325", "326", "327", "328", "329", "330", "331", "332", "333", "334", "335", "336", "337", "338", "339", "340", "341", "342", "343", "344", "345", "346", "347", "348", "349", "350", "351", "352", "353", "354", "355", "356", "357", "358", "359", "360", "361", "362", "363", "364", "365", "366", "367", "368", "369", "370", "371", "372", "373", "374", "375", "376", "377", "378", "379", "380", "381", "382", "383", "384", "385", "386", "387", "388", "389", "390", "391", "392", "393", "394", "395", "396", "397", "398", "399", "400", "401", "402", "403", "404", "405", "406", "407", "408", "409", "410", "411", "412", "413", "414", "415", "416", "417", "418", "419", "420", "421", "422", "423", "424", "425", "426", "427", "428", "429", "430", "431", "432", "433", "434", "435", "436", "437", "438", "439", "440", "441", "442", "443", "444", "445", "446", "447", "448", "449", "450", "451", "452", "453", "454", "455", "456", "457", "458", "459", "460", "461", "462", "463", "464", "465", "466", "467", "468", "469", "470", "471", "472", "473", "474", "475", "476", "477", "478", "479", "480", "481", "482", "483", "484", "485", "486", "487", "488", "489", "490", "491", "492", "493", "494", "495", "496", "497", "498", "499", "500", "501", "502", "503", "504", "505", "506", "507", "508", "509", "510", "511", "512", "513", "514", "515", "516", "517", "518", "519", "520", "521", "522", "523", "524", "525", "526", "527", "528", "529", "530", "531", "532", "533", "534", "535", "536", "537", "538", "539", "540", "541", "542", "543", "544", "545", "546", "547", "548", "549", "550")), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), theta = 1, Lind = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), Gp = c(0L, 50L), lower = 0, Lambdat = new("dgCMatrix", i = 0:49, p = 0:50, Dim = c(50L, 50L), Dimnames = list(NULL, NULL), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), flist = list(Traj = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L)), cnms = list(Traj = "(Intercept)"), Ztlist = list(`1 | Traj` = new("dgCMatrix", i = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L), p = 0:550, Dim = c(50L, 550L), Dimnames = list(c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180", "181", "182", "183", "184", "185", "186", "187", "188", "189", "190", "191", "192", "193", "194", "195", "196", "197", "198", "199", "200", "201", "202", "203", "204", "205", "206", "207", "208", "209", "210", "211", "212", "213", "214", "215", "216", "217", "218", "219", "220", "221", "222", "223", "224", "225", "226", "227", "228", "229", "230", "231", "232", "233", "234", "235", "236", "237", "238", "239", "240", "241", "242", "243", "244", "245", "246", "247", "248", "249", "250", "251", "252", "253", "254", "255", "256", "257", "258", "259", "260", "261", "262", "263", "264", "265", "266", "267", "268", "269", "270", "271", "272", "273", "274", "275", "276", "277", "278", "279", "280", "281", "282", "283", "284", "285", "286", "287", "288", "289", "290", "291", "292", "293", "294", "295", "296", "297", "298", "299", "300", "301", "302", "303", "304", "305", "306", "307", "308", "309", "310", "311", "312", "313", "314", "315", "316", "317", "318", "319", "320", "321", "322", "323", "324", "325", "326", "327", "328", "329", "330", "331", "332", "333", "334", "335", "336", "337", "338", "339", "340", "341", "342", "343", "344", "345", "346", "347", "348", "349", "350", "351", "352", "353", "354", "355", "356", "357", "358", "359", "360", "361", "362", "363", "364", "365", "366", "367", "368", "369", "370", "371", "372", "373", "374", "375", "376", "377", "378", "379", "380", "381", "382", "383", "384", "385", "386", "387", "388", "389", "390", "391", "392", "393", "394", "395", "396", "397", "398", "399", "400", "401", "402", "403", "404", "405", "406", "407", "408", "409", "410", "411", "412", "413", "414", "415", "416", "417", "418", "419", "420", "421", "422", "423", "424", "425", "426", "427", "428", "429", "430", "431", "432", "433", "434", "435", "436", "437", "438", "439", "440", "441", "442", "443", "444", "445", "446", "447", "448", "449", "450", "451", "452", "453", "454", "455", "456", "457", "458", "459", "460", "461", "462", "463", "464", "465", "466", "467", "468", "469", "470", "471", "472", "473", "474", "475", "476", "477", "478", "479", "480", "481", "482", "483", "484", "485", "486", "487", "488", "489", "490", "491", "492", "493", "494", "495", "496", "497", "498", "499", "500", "501", "502", "503", "504", "505", "506", "507", "508", "509", "510", "511", "512", "513", "514", "515", "516", "517", "518", "519", "520", "521", "522", "523", "524", "525", "526", "527", "528", "529", "530", "531", "532", "533", "534", "535", "536", "537", "538", "539", "540", "541", "542", "543", "544", "545", "546", "547", "548", "549", "550")), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list())), nl = c(Traj = 50L)), REML = TRUE, wmsgs = character(0), start = NULL, verbose = FALSE, control = list( optimizer = "nloptwrap", restart_edge = TRUE, boundary.tol = 1e-05, calc.derivs = TRUE, use.last.params = FALSE, checkControl = list( check.nobs.vs.rankZ = "ignore", check.nobs.vs.nlev = "stop", check.nlev.gtreq.5 = "ignore", check.nlev.gtr.1 = "stop", check.nobs.vs.nRE = "stop", check.rankX = "message+drop.cols", check.scaleX = "warning", check.formula.LHS = "stop"), checkConv = list(check.conv.grad = list(action = "warning", tol = 0.002, relTol = NULL), check.conv.singular = list( action = "message", tol = 1e-04), check.conv.hess = list( action = "warning", tol = 1e-06)), optCtrl = list())) 10: do.call(mkLmerDevfun, c(lmod, list(start = start, verbose = verbose, control = control))) 11: lme4::lmer(formula = method$formula, data = data, REML = method$REML, control = method$control, verbose = canShow(verbose, "fine")) 12: .local(method, data, verbose, ...) 13: prepareData(method = cmethod, data = modelData, verbose = verbose) 14: prepareData(method = cmethod, data = modelData, verbose = verbose) 15: latrend(..., formula = form) 16: (function (type, ...) { form <- switch(type, constant = Y ~ Time + (1 | Traj), linear = Y ~ Time + (Time | Traj)) latrend(..., formula = form)})(method = "lcMethodGCKM", nClusters = 1L, seed = 1, type = "constant", list(Traj = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L), Class = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), Y = c(-0.0228347930375264, -0.12384802039931, -0.0285334119317908, -0.175581690682312, 0.0806569890958704, 0.135394608776353, -0.0993675287208841, -0.167058843705886, -0.00567341832999195, -0.0761508414623157, 0.177516394976244, 0.0144403321488913, 0.0873382686672859, 0.0211645483002748, -0.0559629884660323, 0.0372435623736425, -0.162131530466896, 0.164919818578497, 0.033689666243398, 0.235625499458424, 0.0659152853121745, -0.0526303106699732, -0.0224902258920992, -0.17697262440543, -0.208926201264915, -0.0544182376892584, -0.127892048562848, -0.0834523260778423, -0.0761287288258383, -0.142514955859812, -0.140429734522855, -0.0970807227533879, 0.0342458384163157, 0.00717140017080298, 0.218922698976621, 0.192823117335131, 0.265838063941415, 0.129109687850349, 0.196529961205408, 0.186237959291002, 0.105276077114614, 0.280314860812096, 0.275568341783274, 0.229549445165279, 0.191634122635621, 0.0887994197380664, -0.0947084436642676, -0.0243757642421526, -0.0895104843082995, -0.0143892864623951, -0.0290858905408764, 0.0371623644959596, -0.0581413876737085, 0.0487536544219435, -0.0325076872103457, 0.0946818885254631, -0.010376090810081, 0.00897058453772119, -0.0436283026291671, 0.0861707696401403, -0.145620483806699, -0.128211311447858, 0.0611813854423648, -0.147116473742838, -0.102784912771998, -0.121327631356, 0.0167436183879978, 0.0208315749451926, 0.0981617383696312, 0.0310098570158879, -0.00185284096857721, 0.18304678775989, 0.0272849643881617, 0.0307872522385098, 0.0387238311214923, 0.120009535947989, 0.0413864648302159, 0.0700690533662169, 0.00566642263735603, 0.0414054432882898, 0.0798485145563732, 0.0149430218869554, 0.126982089776179, -0.078006937665757, 0.104488256591898, -0.0798125118408369, 0.0437348578292607, 0.0210044800684211, -0.00763134290275065, 0.05188845738061, -0.133857807402652, 0.175236466367205, -0.108919108455851, 0.0112250950181107, -0.0540138753389353, -0.0175037649539956, 0.266294789728184, 0.0593176971346744, -0.0710519178780833, -0.194599392157493, 0.01447987141163, -0.0323948219870994, -0.06234567617002, -0.123475053461006, -0.179284869729784, -0.138058068377204, 0.0694640416557558, -0.0926655081953179, -0.168981523454085, 0.156390223526722, 0.19368815458233, 0.127313406753782, 0.257026421715987, 0.239820381982578, 0.0892538120219701, 0.371788363299132, 0.125675413830983, 0.00872865182380397, 0.136738156649663, 0.171931950768319, 0.381975956751021, 0.0495645604305143, 0.0846842041834845, 0.03126903010549, 0.00558423940448866, 0.0355117208100155, 0.117748284204159, 0.246508824506372, 0.14172356751752, 0.159775163479814, -0.0841480185146613, 0.137373880646481, -0.0401315776881152, -0.208849060963405, -0.0100217837893665, -0.077999518525782, 0.0843346731427994, -0.138732258014647, -0.105145233447035, -0.154735007791924, -0.0798344541978344, -0.0219228801055466, -0.135298875366141, -0.138432671919583, -0.342278267348196, -0.326268429998524, -0.0773542180333219, -0.323054735248215, -0.180272517485999, -0.259577593828642, -0.180529804752657, -0.0525826600973454, -0.062811145373553, -0.254560768786027, -0.116030461714936, 0.362259250797727, 0.17919970849086, 0.166625825410681, 0.11115313949972, 0.163503934109603, 0.0960555086373441, 0.154562556139762, 0.0724684174165464, -0.0245276959404352, 0.211276918559799, 0.147481141648431, -0.0353674178240845, -0.129822336462292, 0.0597307696662593, -0.008964274590921, -0.177815201584007, -0.00428017493349612, -0.0675233942943377, -0.0385902188875636, -0.120150597165108, 0.175820829890224, -0.0347322299490167, -0.162170367535202, 0.0181003175640535, 0.0246985383306528, -0.100201696350824, -0.290511093477849, -0.0656671965664061, 0.0554317372821539, -0.00759135391415561, -0.0114369007104181, 0.054463046552117, -0.0242622427894175, 0.204061325495954, 0.0938492182407134, 0.165114687808338, 0.197794394542276, 0.11673166256006, 0.00651285978192806, 0.210680076665263, -0.105632873410018, 0.0399045470683575, 0.0688165501528311, 0.0655100158333082, 0.18416851038822, 0.0957443088200866, 0.122838879852192, 0.0751566382085184, 0.0573556853478758, 0.151677200171773, 0.196744955231389, -0.158187501979378, 0.139396075034393, 0.119594560187674, 0.0168633599661433, 0.154491412879433, 0.020466413949913, 0.0309570659417935, 0.145131109929731, 0.231352862033811, 0.0863956222154738, 0.0171717311429869, -0.0595211973642076, 0.0262868342338499, -0.0345928005292513, 1.06600447884894, 1.03133565398298, 0.806712027958436, 1.05681442527031, 0.70749890472733, 0.704918463906316, 0.262985339176811, 0.465997852880366, 0.160273221115666, 0.283878104921736, 0.131710752706017, 1.03746077214613, 1.11063949309083, 0.808090463148415, 0.720152199649053, 0.578106411970565, 0.511395769397767, 0.572732125410415, 0.421583845027623, 0.378729551840811, 0.139201763667739, 0.115850659250572, 1.03187299078517, 0.764830764098265, 0.985299427084064, 0.720901264429887, 0.684016398252306, 0.602970166027417, 0.402399928192292, 0.276874956359822, 0.29682386857907, 0.0027266834303895, 0.204590236958934, 0.762701619784827, 0.866479360641162, 0.752286099808726, 0.509361403772254, 0.457786921898813, 0.198609982460217, 0.233365480715906, 0.205426076249281, 0.0109726791033825, -0.144348860501773, -0.264513354831381, 1.05839033252722, 1.06889872085715, 0.813585081759343, 0.749881563656727, 0.532568574407387, 0.611413858390957, 0.592772726800886, 0.511686675729749, 0.343452847879207, -0.0249963042307903, 0.110185525201847, 1.04000068637722, 0.859047097464109, 0.811436073141898, 0.607983530634409, 0.662310203448665, 0.461677024581789, 0.237478907532705, 0.257642050430052, 0.330830618954085, 0.0609589895739835, 0.0676621302680101, 1.07907901334925, 0.884860319762104, 0.749188218774482, 0.631450898416117, 0.658379371886947, 0.378074707781186, 0.409041533683107, 0.255470512673036, -0.0420684863193274, -0.0564645962778523, 0.0760223822087244, 0.833796866556553, 0.833253083223437, 0.841672207940933, 0.700312879720986, 0.520651610841372, 0.390921030266747, 0.233644918964339, 0.310713941100512, 0.112548172541918, -0.164432932477063, -0.162639491878959, 0.760294012462154, 0.832659109878074, 0.492952227494539, 0.783585211208943, 0.488630694385924, 0.409187110619719, 0.335253161258942, 0.313406811888051, 0.220019012211408, 0.108980191736305, -0.105069265903475, 0.905465030392136, 0.90292193158618, 0.869585569265025, 0.659486043862768, 0.634910062572124, 0.42502792340699, 0.44096325459841, 0.354679696179711, 0.22720659317387, 0.125403060346363, 0.218149356298462, 1.21212660639474, 1.14701106322597, 0.843547259869921, 0.8523021389957, 0.851350473862632, 0.630215812700255, 0.322931890329439, 0.47035253136285, 0.145372410594351, 0.154750939838883, 0.268268387282865, 1.05128491219597, 0.998888122819237, 0.820381713417064, 0.678705351017415, 0.497289949952972, 0.64901260263762, 0.394222287077888, 0.218208387198912, 0.276243537237414, 0.19716532309349, 0.179286704685558, 0.978467430795427, 0.899680379083623, 0.797144958002918, 0.701201418873898, 0.602104066585701, 0.509199415885848, 0.582949202175924, 0.269013331964633, 0.199950410563801, 0.204020806373089, 0.15124440580945, 0.917408415639317, 0.843810874327881, 0.846981554991511, 0.796394918595506, 0.569503037132912, 0.351620151202849, 0.565531599151798, 0.438126453172872, 0.123582381356721, 0.0881127385761511, -0.181327377594884, 0.919266341499049, 0.923528724137318, 0.498565979606668, 0.484337192996965, 0.398176350942083, 0.294180904960024, 0.0589654847553442, 0.21239040024193, -0.090885769679435, -0.040205719610687, -0.0784074835803314, 0.938681001521568, 0.947701382917385, 0.755929036578217, 0.593734498611465, 0.623136485173496, 0.415117269667073, 0.535761662167882, 0.256674572553731, 0.243782043030085, 0.0790168339944346, -0.342304316222016, 0.823959811496067, 0.818160778614484, 0.784251371003521, 0.426298692593069, 0.656740667967036, 0.400128431243521, 0.285283276692674, 0.10500984537454, 0.0151816308288592, 0.0662041882344061, 0.0115079452963543, 0.784280364350451, 0.793632462383948, 0.847645832554141, 0.64876495186389, 0.810605510510608, 0.618643327603692, 0.453618463735841, 0.2945571052827, 0.222004738534407, 0.0234780478021188, 0.0568703756246065, 1.25802393320696, 1.11834552820672, 0.828678111531979, 0.648114852276029, 0.699036967249564, 0.654091474290086, 0.645101935179248, 0.278141588745032, 0.346440996459133, 0.23335252070724, 0.229398063324293, 1.0735265776328, 0.940587689395329, 0.761636161233918, 0.724575526486392, 0.640105197587927, 0.811373007424665, 0.72097071241575, 0.359647246897327, 0.171950830939566, -0.0209759185617129, 0.127784738189557, 0.874490282001156, 1.11201357292908, 0.694985883108845, 0.694658283349213, 0.964575308445708, 0.372656640580316, 0.414304302816787, 0.172858193152125, 0.218313005256837, -0.00377881313156311, -0.00872204735166633, 0.944976967770687, 0.756339607943082, 0.775793100828739, 0.773823935592286, 0.734060577376723, 0.337392704893432, 0.349702738682117, 0.390606284671904, 0.0632415972019895, -0.17818623689869, -0.118926423864982, 0.972972391746917, 0.974445196773253, 0.82932265819067, 0.792845950364937, 0.627459096747799, 0.607108177010004, 0.433095760040772, 0.48870648219258, 0.195963585014751, 0.1987630020844, -0.0187886192879718, 1.07646696775445, 0.950893302619513, 0.687214255253507, 0.74124366420547, 0.773687686417631, 0.623806312187316, 0.469991082956121, 0.236434675496074, 0.372589185146275, 0.163586490761903, 0.010488944590498, 1.09532725182513, 0.754165198385096, 0.761460526620833, 0.759298172663399, 0.591346710062091, 0.400422204091364, 0.289282620202784, 0.266637983549656, 0.182472542005004, 0.032985170577922, 0.0629693277707158, 0.922667284319973, 0.759220876472018, 0.782983097455922, 0.409072252068396, 0.568447858683629, 0.47894657954616, 0.306763012760798, 0.117536167770599, 0.0897510239724003, 0.184233518527419, -0.145100963676079, 0.803286984440726, 1.0176827404346, 0.786327130493548, 0.685369539618447, 0.514921792098182, 0.534202333378961, 0.506582126256654, 0.277709993654703, 0.175785402071804, 0.246122217713712, 0.0117072285056534, 1.06086312111922, 0.914275467378034, 0.966896756011565, 0.677433929524919, 0.761778331039578, 0.657423521349185, 0.43009319885242, 0.461695323823876, 0.375530278811143, 0.234415321303478, 0.279337496993358, 0.792530059662473, 0.772273285721218, 0.651113457411894, 0.705533372231954, 0.747228286700949, 0.656554274082602, 0.437595048624473, 0.37663270504101, 0.174277891381989, 0.135662554792398, 0.0263889264979256, 1.01200674513977, 0.958781279270335, 0.87462664620467, 0.927495354262723, 0.584411903675592, 0.376677257865056, 0.564938594465861, 0.306494710570073, 0.244500080329364, 0.278581275773702, 0.0118021461905898), Mu.fixed = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), Time = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1 ), Mu.class = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0), Mu.random = c(-0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0918977371608218, 0.0918977371608218, 0.0918977371608218, 0.0918977371608218, 0.0918977371608218, 0.0918977371608218, 0.0918977371608218, 0.0918977371608218, 0.0918977371608218, 0.0918977371608218, 0.0918977371608218, 0.0782136300731067, 0.0782136300731067, 0.0782136300731067, 0.0782136300731067, 0.0782136300731067, 0.0782136300731067, 0.0782136300731067, 0.0782136300731067, 0.0782136300731067, 0.0782136300731067, 0.0782136300731067, 0.00745649833651906, 0.00745649833651906, 0.00745649833651906, 0.00745649833651906, 0.00745649833651906, 0.00745649833651906, 0.00745649833651906, 0.00745649833651906, 0.00745649833651906, 0.00745649833651906, 0.00745649833651906, -0.198935169586337, -0.198935169586337, -0.198935169586337, -0.198935169586337, -0.198935169586337, -0.198935169586337, -0.198935169586337, -0.198935169586337, -0.198935169586337, -0.198935169586337, -0.198935169586337, 0.061982574789471, 0.061982574789471, 0.061982574789471, 0.061982574789471, 0.061982574789471, 0.061982574789471, 0.061982574789471, 0.061982574789471, 0.061982574789471, 0.061982574789471, 0.061982574789471, -0.00561287395290008, -0.00561287395290008, -0.00561287395290008, -0.00561287395290008, -0.00561287395290008, -0.00561287395290008, -0.00561287395290008, -0.00561287395290008, -0.00561287395290008, -0.00561287395290008, -0.00561287395290008, -0.0155795506705329, -0.0155795506705329, -0.0155795506705329, -0.0155795506705329, -0.0155795506705329, -0.0155795506705329, -0.0155795506705329, -0.0155795506705329, -0.0155795506705329, -0.0155795506705329, -0.0155795506705329, -0.147075238389927, -0.147075238389927, -0.147075238389927, -0.147075238389927, -0.147075238389927, -0.147075238389927, -0.147075238389927, -0.147075238389927, -0.147075238389927, -0.147075238389927, -0.147075238389927, -0.047815005510862, -0.047815005510862, -0.047815005510862, -0.047815005510862, -0.047815005510862, -0.047815005510862, -0.047815005510862, -0.047815005510862, -0.047815005510862, -0.047815005510862, -0.047815005510862, 0.0417941560199702, 0.0417941560199702, 0.0417941560199702, 0.0417941560199702, 0.0417941560199702, 0.0417941560199702, 0.0417941560199702, 0.0417941560199702, 0.0417941560199702, 0.0417941560199702, 0.0417941560199702, 0.135867955152904, 0.135867955152904, 0.135867955152904, 0.135867955152904, 0.135867955152904, 0.135867955152904, 0.135867955152904, 0.135867955152904, 0.135867955152904, 0.135867955152904, 0.135867955152904, -0.0102787727342996, -0.0102787727342996, -0.0102787727342996, -0.0102787727342996, -0.0102787727342996, -0.0102787727342996, -0.0102787727342996, -0.0102787727342996, -0.0102787727342996, -0.0102787727342996, -0.0102787727342996, 0.0387671611559369, 0.0387671611559369, 0.0387671611559369, 0.0387671611559369, 0.0387671611559369, 0.0387671611559369, 0.0387671611559369, 0.0387671611559369, 0.0387671611559369, 0.0387671611559369, 0.0387671611559369, -0.00538050405829051, -0.00538050405829051, -0.00538050405829051, -0.00538050405829051, -0.00538050405829051, -0.00538050405829051, -0.00538050405829051, -0.00538050405829051, -0.00538050405829051, -0.00538050405829051, -0.00538050405829051, -0.137705955682861, -0.137705955682861, -0.137705955682861, -0.137705955682861, -0.137705955682861, -0.137705955682861, -0.137705955682861, -0.137705955682861, -0.137705955682861, -0.137705955682861, -0.137705955682861, -0.041499456329968, -0.041499456329968, -0.041499456329968, -0.041499456329968, -0.041499456329968, -0.041499456329968, -0.041499456329968, -0.041499456329968, -0.041499456329968, -0.041499456329968, -0.041499456329968, -0.0394289953710349, -0.0394289953710349, -0.0394289953710349, -0.0394289953710349, -0.0394289953710349, -0.0394289953710349, -0.0394289953710349, -0.0394289953710349, -0.0394289953710349, -0.0394289953710349, -0.0394289953710349, -0.00593133967111857, -0.00593133967111857, -0.00593133967111857, -0.00593133967111857, -0.00593133967111857, -0.00593133967111857, -0.00593133967111857, -0.00593133967111857, -0.00593133967111857, -0.00593133967111857, -0.00593133967111857, 0.110002537198388, 0.110002537198388, 0.110002537198388, 0.110002537198388, 0.110002537198388, 0.110002537198388, 0.110002537198388, 0.110002537198388, 0.110002537198388, 0.110002537198388, 0.110002537198388, 0.0763175748457544, 0.0763175748457544, 0.0763175748457544, 0.0763175748457544, 0.0763175748457544, 0.0763175748457544, 0.0763175748457544, 0.0763175748457544, 0.0763175748457544, 0.0763175748457544, 0.0763175748457544, -0.0164523596253587, -0.0164523596253587, -0.0164523596253587, -0.0164523596253587, -0.0164523596253587, -0.0164523596253587, -0.0164523596253587, -0.0164523596253587, -0.0164523596253587, -0.0164523596253587, -0.0164523596253587, -0.0253361680136508, -0.0253361680136508, -0.0253361680136508, -0.0253361680136508, -0.0253361680136508, -0.0253361680136508, -0.0253361680136508, -0.0253361680136508, -0.0253361680136508, -0.0253361680136508, -0.0253361680136508, 0.0696963375404737, 0.0696963375404737, 0.0696963375404737, 0.0696963375404737, 0.0696963375404737, 0.0696963375404737, 0.0696963375404737, 0.0696963375404737, 0.0696963375404737, 0.0696963375404737, 0.0696963375404737, 0.0556663198673657, 0.0556663198673657, 0.0556663198673657, 0.0556663198673657, 0.0556663198673657, 0.0556663198673657, 0.0556663198673657, 0.0556663198673657, 0.0556663198673657, 0.0556663198673657, 0.0556663198673657, -0.068875569454952, -0.068875569454952, -0.068875569454952, -0.068875569454952, -0.068875569454952, -0.068875569454952, -0.068875569454952, -0.068875569454952, -0.068875569454952, -0.068875569454952, -0.068875569454952, -0.070749515696212, -0.070749515696212, -0.070749515696212, -0.070749515696212, -0.070749515696212, -0.070749515696212, -0.070749515696212, -0.070749515696212, -0.070749515696212, -0.070749515696212, -0.070749515696212, 0.036458196213683, 0.036458196213683, 0.036458196213683, 0.036458196213683, 0.036458196213683, 0.036458196213683, 0.036458196213683, 0.036458196213683, 0.036458196213683, 0.036458196213683, 0.036458196213683, 0.0768532924515416, 0.0768532924515416, 0.0768532924515416, 0.0768532924515416, 0.0768532924515416, 0.0768532924515416, 0.0768532924515416, 0.0768532924515416, 0.0768532924515416, 0.0768532924515416, 0.0768532924515416, -0.0112346212150228, -0.0112346212150228, -0.0112346212150228, -0.0112346212150228, -0.0112346212150228, -0.0112346212150228, -0.0112346212150228, -0.0112346212150228, -0.0112346212150228, -0.0112346212150228, -0.0112346212150228, 0.0881107726454215, 0.0881107726454215, 0.0881107726454215, 0.0881107726454215, 0.0881107726454215, 0.0881107726454215, 0.0881107726454215, 0.0881107726454215, 0.0881107726454215, 0.0881107726454215, 0.0881107726454215), Mu = c(-0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 1.09189773716082, 0.991897737160822, 0.891897737160822, 0.791897737160822, 0.691897737160822, 0.591897737160822, 0.491897737160822, 0.391897737160822, 0.291897737160822, 0.191897737160822, 0.0918977371608218, 1.07821363007311, 0.978213630073107, 0.878213630073107, 0.778213630073107, 0.678213630073107, 0.578213630073107, 0.478213630073107, 0.378213630073107, 0.278213630073107, 0.178213630073107, 0.0782136300731067, 1.00745649833652, 0.907456498336519, 0.807456498336519, 0.707456498336519, 0.607456498336519, 0.507456498336519, 0.407456498336519, 0.307456498336519, 0.207456498336519, 0.107456498336519, 0.00745649833651906, 0.801064830413663, 0.701064830413663, 0.601064830413663, 0.501064830413663, 0.401064830413663, 0.301064830413663, 0.201064830413663, 0.101064830413663, 0.00106483041366268, -0.0989351695863373, -0.198935169586337, 1.06198257478947, 0.961982574789471, 0.861982574789471, 0.761982574789471, 0.661982574789471, 0.561982574789471, 0.461982574789471, 0.361982574789471, 0.261982574789471, 0.161982574789471, 0.061982574789471, 0.9943871260471, 0.8943871260471, 0.7943871260471, 0.6943871260471, 0.5943871260471, 0.4943871260471, 0.3943871260471, 0.2943871260471, 0.1943871260471, 0.0943871260470999, -0.00561287395290008, 0.984420449329467, 0.884420449329467, 0.784420449329467, 0.684420449329467, 0.584420449329467, 0.484420449329467, 0.384420449329467, 0.284420449329467, 0.184420449329467, 0.084420449329467, -0.0155795506705329, 0.852924761610073, 0.752924761610073, 0.652924761610073, 0.552924761610073, 0.452924761610073, 0.352924761610073, 0.252924761610072, 0.152924761610072, 0.0529247616100725, -0.0470752383899275, -0.147075238389927, 0.952184994489138, 0.852184994489138, 0.752184994489138, 0.652184994489138, 0.552184994489138, 0.452184994489138, 0.352184994489138, 0.252184994489138, 0.152184994489138, 0.0521849944891379, -0.047815005510862, 1.04179415601997, 0.94179415601997, 0.84179415601997, 0.74179415601997, 0.64179415601997, 0.54179415601997, 0.44179415601997, 0.34179415601997, 0.24179415601997, 0.14179415601997, 0.0417941560199702, 1.1358679551529, 1.0358679551529, 0.935867955152904, 0.835867955152904, 0.735867955152904, 0.635867955152904, 0.535867955152904, 0.435867955152904, 0.335867955152904, 0.235867955152904, 0.135867955152904, 0.9897212272657, 0.8897212272657, 0.7897212272657, 0.6897212272657, 0.5897212272657, 0.4897212272657, 0.3897212272657, 0.2897212272657, 0.1897212272657, 0.0897212272657004, -0.0102787727342996, 1.03876716115594, 0.938767161155937, 0.838767161155937, 0.738767161155937, 0.638767161155937, 0.538767161155937, 0.438767161155937, 0.338767161155937, 0.238767161155937, 0.138767161155937, 0.0387671611559369, 0.99461949594171, 0.89461949594171, 0.79461949594171, 0.694619495941709, 0.594619495941709, 0.49461949594171, 0.394619495941709, 0.294619495941709, 0.194619495941709, 0.0946194959417095, -0.00538050405829051, 0.862294044317139, 0.762294044317139, 0.662294044317139, 0.562294044317139, 0.462294044317139, 0.362294044317139, 0.262294044317139, 0.162294044317139, 0.0622940443171393, -0.0377059556828607, -0.137705955682861, 0.958500543670032, 0.858500543670032, 0.758500543670032, 0.658500543670032, 0.558500543670032, 0.458500543670032, 0.358500543670032, 0.258500543670032, 0.158500543670032, 0.058500543670032, -0.041499456329968, 0.960571004628965, 0.860571004628965, 0.760571004628965, 0.660571004628965, 0.560571004628965, 0.460571004628965, 0.360571004628965, 0.260571004628965, 0.160571004628965, 0.060571004628965, -0.0394289953710349, 0.994068660328881, 0.894068660328881, 0.794068660328881, 0.694068660328881, 0.594068660328881, 0.494068660328881, 0.394068660328881, 0.294068660328881, 0.194068660328881, 0.0940686603288814, -0.00593133967111857, 1.11000253719839, 1.01000253719839, 0.910002537198388, 0.810002537198388, 0.710002537198388, 0.610002537198388, 0.510002537198388, 0.410002537198388, 0.310002537198388, 0.210002537198388, 0.110002537198388, 1.07631757484575, 0.976317574845754, 0.876317574845754, 0.776317574845754, 0.676317574845754, 0.576317574845754, 0.476317574845754, 0.376317574845754, 0.276317574845754, 0.176317574845754, 0.0763175748457544, 0.983547640374641, 0.883547640374641, 0.783547640374641, 0.683547640374641, 0.583547640374641, 0.483547640374641, 0.383547640374641, 0.283547640374641, 0.183547640374641, 0.0835476403746413, -0.0164523596253587, 0.974663831986349, 0.874663831986349, 0.774663831986349, 0.674663831986349, 0.574663831986349, 0.474663831986349, 0.374663831986349, 0.274663831986349, 0.174663831986349, 0.0746638319863492, -0.0253361680136508, 1.06969633754047, 0.969696337540474, 0.869696337540474, 0.769696337540474, 0.669696337540474, 0.569696337540474, 0.469696337540474, 0.369696337540474, 0.269696337540474, 0.169696337540474, 0.0696963375404737, 1.05566631986737, 0.955666319867366, 0.855666319867366, 0.755666319867366, 0.655666319867366, 0.555666319867366, 0.455666319867366, 0.355666319867366, 0.255666319867366, 0.155666319867366, 0.0556663198673657, 0.931124430545048, 0.831124430545048, 0.731124430545048, 0.631124430545048, 0.531124430545048, 0.431124430545048, 0.331124430545048, 0.231124430545048, 0.131124430545048, 0.031124430545048, -0.068875569454952, 0.929250484303788, 0.829250484303788, 0.729250484303788, 0.629250484303788, 0.529250484303788, 0.429250484303788, 0.329250484303788, 0.229250484303788, 0.129250484303788, 0.029250484303788, -0.070749515696212, 1.03645819621368, 0.936458196213683, 0.836458196213683, 0.736458196213683, 0.636458196213683, 0.536458196213683, 0.436458196213683, 0.336458196213683, 0.236458196213683, 0.136458196213683, 0.036458196213683, 1.07685329245154, 0.976853292451542, 0.876853292451542, 0.776853292451542, 0.676853292451542, 0.576853292451542, 0.476853292451542, 0.376853292451542, 0.276853292451542, 0.176853292451542, 0.0768532924515416, 0.988765378784977, 0.888765378784977, 0.788765378784977, 0.688765378784977, 0.588765378784977, 0.488765378784977, 0.388765378784977, 0.288765378784977, 0.188765378784977, 0.0887653787849772, -0.0112346212150228, 1.08811077264542, 0.988110772645421, 0.888110772645421, 0.788110772645421, 0.688110772645421, 0.588110772645421, 0.488110772645421, 0.388110772645421, 0.288110772645421, 0.188110772645421, 0.0881107726454215))) 17: do.call(fp$fun, fp$para) 18: f(data, truth) 19: model.data(model) 20: f(x) 21: post_analyze(f(data, truth), truth) 22: FUN(X[[i]], ...) 23: lapply(pf, function(f) { post_analyze(f(data, truth), truth)}) 24: FUN(X[[i]], ...) 25: lapply(1:replications, with_data) 26: sim_fun(fc) 27: FUN(X[[i]], ...) 28: lapply(df, function(fc) { ret <- sim_fun(fc) pb() ret}) 29: tryCatchList(expr, classes, parentenv, handlers) 30: tryCatch({ simulation_list <- lapply(df, function(fc) { ret <- sim_fun(fc) pb() ret }) t2 <- Sys.time()}, finally = { if (ncpus > 1 && !user_provided_cluster) { parallel::stopCluster(cluster) RNGkind(kind = generator_info[1]) }}) 31: simTool::eval_tibbles(data_grid = dataGrid, proc_grid = methodGrid, post_analyze = analyzeModel) 32: eval(expr, envir, enclos) 33: eval(expr, envir, enclos) 34: eval_with_user_handlers(expr, envir, enclos, user_handlers) 35: withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)) 36: withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler) 37: handle(ev <- withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler)) 38: timing_fn(handle(ev <- withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler))) 39: evaluate_call(expr, parsed$src[[i]], envir = envir, enclos = enclos, debug = debug, last = i == length(out), use_try = stop_on_error != 2L, keep_warning = keep_warning, keep_message = keep_message, log_echo = log_echo, log_warning = log_warning, output_handler = output_handler, include_timing = include_timing) 40: evaluate::evaluate(...) 41: evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options)) 42: in_dir(input_dir(), expr) 43: in_input_dir(evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options))) 44: eng_r(options) 45: block_exec(params) 46: call_block(x) 47: process_group(group) 48: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) if (xfun::pkg_available("rlang", "1.0.0")) rlang::entrace(e)) 49: withCallingHandlers(expr, error = function(e) { loc = if (is.function(fun)) trimws(fun(label)) else "" if (loc != "") loc = sprintf(" at lines %s", loc) message(one_string(handler(e, loc)))}) 50: xfun:::handle_error(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) if (xfun::pkg_available("rlang", "1.0.0")) rlang::entrace(e)), function(e, loc) { setwd(wd) write_utf8(res, output %n% stdout()) paste0("\nQuitting from lines ", loc) }, if (labels[i] != "") sprintf(" [%s]", labels[i]), get_loc) 51: process_file(text, output) 52: knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet) 53: rmarkdown::render(file, encoding = encoding, quiet = quiet, envir = globalenv(), output_dir = getwd(), ...) 54: vweave_rmarkdown(...) 55: engine$weave(file, quiet = quiet, encoding = enc) 56: doTryCatch(return(expr), name, parentenv, handler) 57: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 58: tryCatchList(expr, classes, parentenv, handlers) 59: tryCatch({ engine$weave(file, quiet = quiet, encoding = enc) setwd(startdir) output <- find_vignette_product(name, by = "weave", engine = engine) if (!have.makefile && vignette_is_tex(output)) { texi2pdf(file = output, clean = FALSE, quiet = quiet) output <- find_vignette_product(name, by = "texi2pdf", engine = engine) }}, error = function(e) { OK <<- FALSE message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s", file, conditionMessage(e)))}) 60: tools:::.buildOneVignette("simulation.Rmd", "/tmp/th798/16170037/R-release/722/latrend.Rcheck/vign_test/latrend", TRUE, FALSE, "simulation", "UTF-8", "/tmp/th798/16170037/RtmpUhGDWf/file3ddc944096418c.rds") An irrecoverable exception occurred. R is aborting now ... SUMMARY: processing the following file failed: 'simulation.Rmd' Error: Vignette re-building failed. Execution halted * checking PDF version of manual ... OK * DONE Status: 3 ERRORs See '/tmp/th798/16170037/R-release/722/latrend.Rcheck/00check.log' for details. [1] "2025-03-28 01:35:17 MST" [1] "2025-03-28 01:35:17 MST" Installing package into '/tmp/th798/16170037/R-release/722/library' (as 'lib' is unspecified) * installing *source* package 'data.table' ... ** using staged installation zlib 1.2.13 is available ok * checking if R installation supports OpenMP without any extra hints... yes ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c assign.c -o assign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c between.c -o between.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bmerge.c -o bmerge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chmatch.c -o chmatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cj.c -o cj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coalesce.c -o coalesce.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dogroups.c -o dogroups.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastmean.c -o fastmean.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fcast.c -o fcast.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fifelse.c -o fifelse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmelt.c -o fmelt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c forder.c -o forder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frank.c -o frank.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fread.c -o fread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c freadR.c -o freadR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c froll.c -o froll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollR.c -o frollR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frolladaptive.c -o frolladaptive.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fsort.c -o fsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwrite.c -o fwrite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwriteR.c -o fwriteR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gsumm.c -o gsumm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idatetime.c -o idatetime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ijoin.c -o ijoin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inrange.c -o inrange.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nafill.c -o nafill.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c negate.c -o negate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nqrecreateindices.c -o nqrecreateindices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c openmp-utils.c -o openmp-utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c programming.c -o programming.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quickselect.c -o quickselect.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbindlist.c -o rbindlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reorder.c -o reorder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shift.c -o shift.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snprintf.c -o snprintf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subset.c -o subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose.c -o transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c types.c -o types.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uniqlist.c -o uniqlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vecseq.c -o vecseq.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrappers.c -o wrappers.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o fsort.o fwrite.o fwriteR.o gsumm.o idatetime.o ijoin.o init.o inrange.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz PKG_CFLAGS = -fopenmp -I/home/th798/.conda/envs/emacs1/include PKG_LIBS = -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi installing to /tmp/th798/16170037/R-release/722/library/00LOCK-data.table/00new/data.table/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (data.table) [1] "2025-03-28 01:35:44 MST" * using log directory '/tmp/th798/16170037/R-release/722/latrend.Rcheck' * using R version 4.4.3 (2025-02-28) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (Spack GCC) 12.2.0 GNU Fortran (Spack GCC) 12.2.0 * running under: Red Hat Enterprise Linux 8.10 (Ootpa) * using session charset: ASCII * checking for file 'latrend/DESCRIPTION' ... OK * checking extension type ... Package * this is package 'latrend' version '1.6.1' * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for executable files ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package 'latrend' can be installed ... OK * checking installed package size ... OK * checking package directory ... OK * checking 'build' directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking loading without being on the library search path ... OK * checking whether startup messages can be suppressed ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking contents of 'data' directory ... OK * checking data for non-ASCII characters ... OK * checking LazyData ... OK * checking data for ASCII and uncompressed saves ... OK * checking installed files from 'inst/doc' ... OK * checking files in 'vignettes' ... OK * checking examples ...sh: line 1: 4071390 Segmentation fault (core dumped) LANGUAGE=en _R_CHECK_INTERNALS2_=1 '/home/th798/R/R-release/bin/R' --vanilla > 'latrend-Ex.Rout' 2>&1 < 'latrend-Ex.R' ERROR Running examples in 'latrend-Ex.R' failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: lcMethodGCKM > ### Title: Two-step clustering through latent growth curve modeling and > ### k-means > ### Aliases: lcMethodGCKM > > ### ** Examples > > data(latrendData) > > if (require("lme4")) { + method <- lcMethodGCKM(Y ~ (Time | Id), id = "Id", time = "Time", nClusters = 3) + model <- latrend(method, latrendData) + } Loading required package: lme4 Loading required package: Matrix --------------------------------------------------------------------------- - Longitudinal clustering using: two-step using LME and k-means --------------------------------------------------------------------------- Method arguments: time: "Time" id: "Id" nClusters: 3 center: meanNA standardize: scale REML: TRUE control: lmerControl() start: NULL contrasts: NULL devFunOnly: FALSE iter.max: 10 nstart: 1 algorithm: c("Hartigan-Wong", "Lloyd", "Forgy", "Ma method: "qr" model: TRUE y: FALSE qr: TRUE singular.ok: TRUE formula: Y ~ (Time | Id) --------------------------------------------------------------------------- Checking and transforming the training data format. Preparing the training data for fitting... Representation step... *** caught segfault *** address (nil), cause 'unknown' Traceback: 1: .Call(merPredDCreate, as(X, "matrix"), Lambdat, LamtUt, Lind, RZX, Ut, Utr, V, VtV, Vtr, Xwts, Zt, beta0, delb, delu, theta, u0) 2: initializePtr() 3: .Object$initialize(...) 4: initialize(value, ...) 5: initialize(value, ...) 6: methods::new(def, ...) 7: (new("refMethodDef", .Data = function (...) { methods::new(def, ...)}, mayCall = c("methods", "new"), name = "new", refClassName = "refGeneratorSlot", superClassMethod = ""))(Zt = new("dgCMatrix", i = c(0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 2L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 4L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 6L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 8L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 10L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 12L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 14L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 16L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 18L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 20L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 22L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 24L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 26L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 28L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 30L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 32L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 34L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 36L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 38L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 40L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 42L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 44L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 46L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 48L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 50L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 52L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 54L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 56L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 58L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 60L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 62L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 64L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 66L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 68L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 70L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 72L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 74L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 76L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 78L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 80L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 82L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 84L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 86L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 88L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 90L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 92L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 94L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 96L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 98L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 100L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 102L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 104L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 106L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 108L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 110L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 112L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 114L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 116L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 118L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 120L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 122L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 124L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 126L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 128L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 130L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 132L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 134L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 136L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 138L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 140L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 142L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 144L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 146L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 148L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 150L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 152L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 154L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 156L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 158L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 160L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 162L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 164L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 166L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 168L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 170L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 172L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 174L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 176L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 178L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 180L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 182L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 184L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 186L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 188L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 190L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 192L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 194L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 196L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 198L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 200L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 202L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 204L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 206L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 208L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 210L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 212L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 214L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 216L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 218L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 220L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 222L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 224L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 226L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 228L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 230L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 232L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 234L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 236L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 238L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 240L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 242L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 244L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 246L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 248L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 250L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 252L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 254L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 256L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 258L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 260L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 262L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 264L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 266L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 268L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 270L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 272L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 274L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 276L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 278L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 280L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 282L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 284L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 286L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 288L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 290L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 292L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 294L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 296L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 298L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 300L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 302L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 304L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 306L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 308L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 310L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 312L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 314L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 316L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 318L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 320L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 322L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 324L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 326L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 328L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 330L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 332L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 334L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 336L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 338L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 340L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 342L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 344L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 346L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 348L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 350L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 352L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 354L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 356L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 358L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 360L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 362L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 364L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 366L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 368L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 370L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 372L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 374L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 376L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 378L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 380L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 382L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 384L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 386L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 388L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 390L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 392L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 394L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 396L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 398L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L), p = c(0L, 1L, 3L, 5L, 7L, 9L, 11L, 13L, 15L, 17L, 19L, 20L, 22L, 24L, 26L, 28L, 30L, 32L, 34L, 36L, 38L, 39L, 41L, 43L, 45L, 47L, 49L, 51L, 53L, 55L, 57L, 58L, 60L, 62L, 64L, 66L, 68L, 70L, 72L, 74L, 76L, 77L, 79L, 81L, 83L, 85L, 87L, 89L, 91L, 93L, 95L, 96L, 98L, 100L, 102L, 104L, 106L, 108L, 110L, 112L, 114L, 115L, 117L, 119L, 121L, 123L, 125L, 127L, 129L, 131L, 133L, 134L, 136L, 138L, 140L, 142L, 144L, 146L, 148L, 150L, 152L, 153L, 155L, 157L, 159L, 161L, 163L, 165L, 167L, 169L, 171L, 172L, 174L, 176L, 178L, 180L, 182L, 184L, 186L, 188L, 190L, 191L, 193L, 195L, 197L, 199L, 201L, 203L, 205L, 207L, 209L, 210L, 212L, 214L, 216L, 218L, 220L, 222L, 224L, 226L, 228L, 229L, 231L, 233L, 235L, 237L, 239L, 241L, 243L, 245L, 247L, 248L, 250L, 252L, 254L, 256L, 258L, 260L, 262L, 264L, 266L, 267L, 269L, 271L, 273L, 275L, 277L, 279L, 281L, 283L, 285L, 286L, 288L, 290L, 292L, 294L, 296L, 298L, 300L, 302L, 304L, 305L, 307L, 309L, 311L, 313L, 315L, 317L, 319L, 321L, 323L, 324L, 326L, 328L, 330L, 332L, 334L, 336L, 338L, 340L, 342L, 343L, 345L, 347L, 349L, 351L, 353L, 355L, 357L, 359L, 361L, 362L, 364L, 366L, 368L, 370L, 372L, 374L, 376L, 378L, 380L, 381L, 383L, 385L, 387L, 389L, 391L, 393L, 395L, 397L, 399L, 400L, 402L, 404L, 406L, 408L, 410L, 412L, 414L, 416L, 418L, 419L, 421L, 423L, 425L, 427L, 429L, 431L, 433L, 435L, 437L, 438L, 440L, 442L, 444L, 446L, 448L, 450L, 452L, 454L, 456L, 457L, 459L, 461L, 463L, 465L, 467L, 469L, 471L, 473L, 475L, 476L, 478L, 480L, 482L, 484L, 486L, 488L, 490L, 492L, 494L, 495L, 497L, 499L, 501L, 503L, 505L, 507L, 509L, 511L, 513L, 514L, 516L, 518L, 520L, 522L, 524L, 526L, 528L, 530L, 532L, 533L, 535L, 537L, 539L, 541L, 543L, 545L, 547L, 549L, 551L, 552L, 554L, 556L, 558L, 560L, 562L, 564L, 566L, 568L, 570L, 571L, 573L, 575L, 577L, 579L, 581L, 583L, 585L, 587L, 589L, 590L, 592L, 594L, 596L, 598L, 600L, 602L, 604L, 606L, 608L, 609L, 611L, 613L, 615L, 617L, 619L, 621L, 623L, 625L, 627L, 628L, 630L, 632L, 634L, 636L, 638L, 640L, 642L, 644L, 646L, 647L, 649L, 651L, 653L, 655L, 657L, 659L, 661L, 663L, 665L, 666L, 668L, 670L, 672L, 674L, 676L, 678L, 680L, 682L, 684L, 685L, 687L, 689L, 691L, 693L, 695L, 697L, 699L, 701L, 703L, 704L, 706L, 708L, 710L, 712L, 714L, 716L, 718L, 720L, 722L, 723L, 725L, 727L, 729L, 731L, 733L, 735L, 737L, 739L, 741L, 742L, 744L, 746L, 748L, 750L, 752L, 754L, 756L, 758L, 760L, 761L, 763L, 765L, 767L, 769L, 771L, 773L, 775L, 777L, 779L, 780L, 782L, 784L, 786L, 788L, 790L, 792L, 794L, 796L, 798L, 799L, 801L, 803L, 805L, 807L, 809L, 811L, 813L, 815L, 817L, 818L, 820L, 822L, 824L, 826L, 828L, 830L, 832L, 834L, 836L, 837L, 839L, 841L, 843L, 845L, 847L, 849L, 851L, 853L, 855L, 856L, 858L, 860L, 862L, 864L, 866L, 868L, 870L, 872L, 874L, 875L, 877L, 879L, 881L, 883L, 885L, 887L, 889L, 891L, 893L, 894L, 896L, 898L, 900L, 902L, 904L, 906L, 908L, 910L, 912L, 913L, 915L, 917L, 919L, 921L, 923L, 925L, 927L, 929L, 931L, 932L, 934L, 936L, 938L, 940L, 942L, 944L, 946L, 948L, 950L, 951L, 953L, 955L, 957L, 959L, 961L, 963L, 965L, 967L, 969L, 970L, 972L, 974L, 976L, 978L, 980L, 982L, 984L, 986L, 988L, 989L, 991L, 993L, 995L, 997L, 999L, 1001L, 1003L, 1005L, 1007L, 1008L, 1010L, 1012L, 1014L, 1016L, 1018L, 1020L, 1022L, 1024L, 1026L, 1027L, 1029L, 1031L, 1033L, 1035L, 1037L, 1039L, 1041L, 1043L, 1045L, 1046L, 1048L, 1050L, 1052L, 1054L, 1056L, 1058L, 1060L, 1062L, 1064L, 1065L, 1067L, 1069L, 1071L, 1073L, 1075L, 1077L, 1079L, 1081L, 1083L, 1084L, 1086L, 1088L, 1090L, 1092L, 1094L, 1096L, 1098L, 1100L, 1102L, 1103L, 1105L, 1107L, 1109L, 1111L, 1113L, 1115L, 1117L, 1119L, 1121L, 1122L, 1124L, 1126L, 1128L, 1130L, 1132L, 1134L, 1136L, 1138L, 1140L, 1141L, 1143L, 1145L, 1147L, 1149L, 1151L, 1153L, 1155L, 1157L, 1159L, 1160L, 1162L, 1164L, 1166L, 1168L, 1170L, 1172L, 1174L, 1176L, 1178L, 1179L, 1181L, 1183L, 1185L, 1187L, 1189L, 1191L, 1193L, 1195L, 1197L, 1198L, 1200L, 1202L, 1204L, 1206L, 1208L, 1210L, 1212L, 1214L, 1216L, 1217L, 1219L, 1221L, 1223L, 1225L, 1227L, 1229L, 1231L, 1233L, 1235L, 1236L, 1238L, 1240L, 1242L, 1244L, 1246L, 1248L, 1250L, 1252L, 1254L, 1255L, 1257L, 1259L, 1261L, 1263L, 1265L, 1267L, 1269L, 1271L, 1273L, 1274L, 1276L, 1278L, 1280L, 1282L, 1284L, 1286L, 1288L, 1290L, 1292L, 1293L, 1295L, 1297L, 1299L, 1301L, 1303L, 1305L, 1307L, 1309L, 1311L, 1312L, 1314L, 1316L, 1318L, 1320L, 1322L, 1324L, 1326L, 1328L, 1330L, 1331L, 1333L, 1335L, 1337L, 1339L, 1341L, 1343L, 1345L, 1347L, 1349L, 1350L, 1352L, 1354L, 1356L, 1358L, 1360L, 1362L, 1364L, 1366L, 1368L, 1369L, 1371L, 1373L, 1375L, 1377L, 1379L, 1381L, 1383L, 1385L, 1387L, 1388L, 1390L, 1392L, 1394L, 1396L, 1398L, 1400L, 1402L, 1404L, 1406L, 1407L, 1409L, 1411L, 1413L, 1415L, 1417L, 1419L, 1421L, 1423L, 1425L, 1426L, 1428L, 1430L, 1432L, 1434L, 1436L, 1438L, 1440L, 1442L, 1444L, 1445L, 1447L, 1449L, 1451L, 1453L, 1455L, 1457L, 1459L, 1461L, 1463L, 1464L, 1466L, 1468L, 1470L, 1472L, 1474L, 1476L, 1478L, 1480L, 1482L, 1483L, 1485L, 1487L, 1489L, 1491L, 1493L, 1495L, 1497L, 1499L, 1501L, 1502L, 1504L, 1506L, 1508L, 1510L, 1512L, 1514L, 1516L, 1518L, 1520L, 1521L, 1523L, 1525L, 1527L, 1529L, 1531L, 1533L, 1535L, 1537L, 1539L, 1540L, 1542L, 1544L, 1546L, 1548L, 1550L, 1552L, 1554L, 1556L, 1558L, 1559L, 1561L, 1563L, 1565L, 1567L, 1569L, 1571L, 1573L, 1575L, 1577L, 1578L, 1580L, 1582L, 1584L, 1586L, 1588L, 1590L, 1592L, 1594L, 1596L, 1597L, 1599L, 1601L, 1603L, 1605L, 1607L, 1609L, 1611L, 1613L, 1615L, 1616L, 1618L, 1620L, 1622L, 1624L, 1626L, 1628L, 1630L, 1632L, 1634L, 1635L, 1637L, 1639L, 1641L, 1643L, 1645L, 1647L, 1649L, 1651L, 1653L, 1654L, 1656L, 1658L, 1660L, 1662L, 1664L, 1666L, 1668L, 1670L, 1672L, 1673L, 1675L, 1677L, 1679L, 1681L, 1683L, 1685L, 1687L, 1689L, 1691L, 1692L, 1694L, 1696L, 1698L, 1700L, 1702L, 1704L, 1706L, 1708L, 1710L, 1711L, 1713L, 1715L, 1717L, 1719L, 1721L, 1723L, 1725L, 1727L, 1729L, 1730L, 1732L, 1734L, 1736L, 1738L, 1740L, 1742L, 1744L, 1746L, 1748L, 1749L, 1751L, 1753L, 1755L, 1757L, 1759L, 1761L, 1763L, 1765L, 1767L, 1768L, 1770L, 1772L, 1774L, 1776L, 1778L, 1780L, 1782L, 1784L, 1786L, 1787L, 1789L, 1791L, 1793L, 1795L, 1797L, 1799L, 1801L, 1803L, 1805L, 1806L, 1808L, 1810L, 1812L, 1814L, 1816L, 1818L, 1820L, 1822L, 1824L, 1825L, 1827L, 1829L, 1831L, 1833L, 1835L, 1837L, 1839L, 1841L, 1843L, 1844L, 1846L, 1848L, 1850L, 1852L, 1854L, 1856L, 1858L, 1860L, 1862L, 1863L, 1865L, 1867L, 1869L, 1871L, 1873L, 1875L, 1877L, 1879L, 1881L, 1882L, 1884L, 1886L, 1888L, 1890L, 1892L, 1894L, 1896L, 1898L, 1900L, 1901L, 1903L, 1905L, 1907L, 1909L, 1911L, 1913L, 1915L, 1917L, 1919L, 1920L, 1922L, 1924L, 1926L, 1928L, 1930L, 1932L, 1934L, 1936L, 1938L, 1939L, 1941L, 1943L, 1945L, 1947L, 1949L, 1951L, 1953L, 1955L, 1957L, 1958L, 1960L, 1962L, 1964L, 1966L, 1968L, 1970L, 1972L, 1974L, 1976L, 1977L, 1979L, 1981L, 1983L, 1985L, 1987L, 1989L, 1991L, 1993L, 1995L, 1996L, 1998L, 2000L, 2002L, 2004L, 2006L, 2008L, 2010L, 2012L, 2014L, 2015L, 2017L, 2019L, 2021L, 2023L, 2025L, 2027L, 2029L, 2031L, 2033L, 2034L, 2036L, 2038L, 2040L, 2042L, 2044L, 2046L, 2048L, 2050L, 2052L, 2053L, 2055L, 2057L, 2059L, 2061L, 2063L, 2065L, 2067L, 2069L, 2071L, 2072L, 2074L, 2076L, 2078L, 2080L, 2082L, 2084L, 2086L, 2088L, 2090L, 2091L, 2093L, 2095L, 2097L, 2099L, 2101L, 2103L, 2105L, 2107L, 2109L, 2110L, 2112L, 2114L, 2116L, 2118L, 2120L, 2122L, 2124L, 2126L, 2128L, 2129L, 2131L, 2133L, 2135L, 2137L, 2139L, 2141L, 2143L, 2145L, 2147L, 2148L, 2150L, 2152L, 2154L, 2156L, 2158L, 2160L, 2162L, 2164L, 2166L, 2167L, 2169L, 2171L, 2173L, 2175L, 2177L, 2179L, 2181L, 2183L, 2185L, 2186L, 2188L, 2190L, 2192L, 2194L, 2196L, 2198L, 2200L, 2202L, 2204L, 2205L, 2207L, 2209L, 2211L, 2213L, 2215L, 2217L, 2219L, 2221L, 2223L, 2224L, 2226L, 2228L, 2230L, 2232L, 2234L, 2236L, 2238L, 2240L, 2242L, 2243L, 2245L, 2247L, 2249L, 2251L, 2253L, 2255L, 2257L, 2259L, 2261L, 2262L, 2264L, 2266L, 2268L, 2270L, 2272L, 2274L, 2276L, 2278L, 2280L, 2281L, 2283L, 2285L, 2287L, 2289L, 2291L, 2293L, 2295L, 2297L, 2299L, 2300L, 2302L, 2304L, 2306L, 2308L, 2310L, 2312L, 2314L, 2316L, 2318L, 2319L, 2321L, 2323L, 2325L, 2327L, 2329L, 2331L, 2333L, 2335L, 2337L, 2338L, 2340L, 2342L, 2344L, 2346L, 2348L, 2350L, 2352L, 2354L, 2356L, 2357L, 2359L, 2361L, 2363L, 2365L, 2367L, 2369L, 2371L, 2373L, 2375L, 2376L, 2378L, 2380L, 2382L, 2384L, 2386L, 2388L, 2390L, 2392L, 2394L, 2395L, 2397L, 2399L, 2401L, 2403L, 2405L, 2407L, 2409L, 2411L, 2413L, 2414L, 2416L, 2418L, 2420L, 2422L, 2424L, 2426L, 2428L, 2430L, 2432L, 2433L, 2435L, 2437L, 2439L, 2441L, 2443L, 2445L, 2447L, 2449L, 2451L, 2452L, 2454L, 2456L, 2458L, 2460L, 2462L, 2464L, 2466L, 2468L, 2470L, 2471L, 2473L, 2475L, 2477L, 2479L, 2481L, 2483L, 2485L, 2487L, 2489L, 2490L, 2492L, 2494L, 2496L, 2498L, 2500L, 2502L, 2504L, 2506L, 2508L, 2509L, 2511L, 2513L, 2515L, 2517L, 2519L, 2521L, 2523L, 2525L, 2527L, 2528L, 2530L, 2532L, 2534L, 2536L, 2538L, 2540L, 2542L, 2544L, 2546L, 2547L, 2549L, 2551L, 2553L, 2555L, 2557L, 2559L, 2561L, 2563L, 2565L, 2566L, 2568L, 2570L, 2572L, 2574L, 2576L, 2578L, 2580L, 2582L, 2584L, 2585L, 2587L, 2589L, 2591L, 2593L, 2595L, 2597L, 2599L, 2601L, 2603L, 2604L, 2606L, 2608L, 2610L, 2612L, 2614L, 2616L, 2618L, 2620L, 2622L, 2623L, 2625L, 2627L, 2629L, 2631L, 2633L, 2635L, 2637L, 2639L, 2641L, 2642L, 2644L, 2646L, 2648L, 2650L, 2652L, 2654L, 2656L, 2658L, 2660L, 2661L, 2663L, 2665L, 2667L, 2669L, 2671L, 2673L, 2675L, 2677L, 2679L, 2680L, 2682L, 2684L, 2686L, 2688L, 2690L, 2692L, 2694L, 2696L, 2698L, 2699L, 2701L, 2703L, 2705L, 2707L, 2709L, 2711L, 2713L, 2715L, 2717L, 2718L, 2720L, 2722L, 2724L, 2726L, 2728L, 2730L, 2732L, 2734L, 2736L, 2737L, 2739L, 2741L, 2743L, 2745L, 2747L, 2749L, 2751L, 2753L, 2755L, 2756L, 2758L, 2760L, 2762L, 2764L, 2766L, 2768L, 2770L, 2772L, 2774L, 2775L, 2777L, 2779L, 2781L, 2783L, 2785L, 2787L, 2789L, 2791L, 2793L, 2794L, 2796L, 2798L, 2800L, 2802L, 2804L, 2806L, 2808L, 2810L, 2812L, 2813L, 2815L, 2817L, 2819L, 2821L, 2823L, 2825L, 2827L, 2829L, 2831L, 2832L, 2834L, 2836L, 2838L, 2840L, 2842L, 2844L, 2846L, 2848L, 2850L, 2851L, 2853L, 2855L, 2857L, 2859L, 2861L, 2863L, 2865L, 2867L, 2869L, 2870L, 2872L, 2874L, 2876L, 2878L, 2880L, 2882L, 2884L, 2886L, 2888L, 2889L, 2891L, 2893L, 2895L, 2897L, 2899L, 2901L, 2903L, 2905L, 2907L, 2908L, 2910L, 2912L, 2914L, 2916L, 2918L, 2920L, 2922L, 2924L, 2926L, 2927L, 2929L, 2931L, 2933L, 2935L, 2937L, 2939L, 2941L, 2943L, 2945L, 2946L, 2948L, 2950L, 2952L, 2954L, 2956L, 2958L, 2960L, 2962L, 2964L, 2965L, 2967L, 2969L, 2971L, 2973L, 2975L, 2977L, 2979L, 2981L, 2983L, 2984L, 2986L, 2988L, 2990L, 2992L, 2994L, 2996L, 2998L, 3000L, 3002L, 3003L, 3005L, 3007L, 3009L, 3011L, 3013L, 3015L, 3017L, 3019L, 3021L, 3022L, 3024L, 3026L, 3028L, 3030L, 3032L, 3034L, 3036L, 3038L, 3040L, 3041L, 3043L, 3045L, 3047L, 3049L, 3051L, 3053L, 3055L, 3057L, 3059L, 3060L, 3062L, 3064L, 3066L, 3068L, 3070L, 3072L, 3074L, 3076L, 3078L, 3079L, 3081L, 3083L, 3085L, 3087L, 3089L, 3091L, 3093L, 3095L, 3097L, 3098L, 3100L, 3102L, 3104L, 3106L, 3108L, 3110L, 3112L, 3114L, 3116L, 3117L, 3119L, 3121L, 3123L, 3125L, 3127L, 3129L, 3131L, 3133L, 3135L, 3136L, 3138L, 3140L, 3142L, 3144L, 3146L, 3148L, 3150L, 3152L, 3154L, 3155L, 3157L, 3159L, 3161L, 3163L, 3165L, 3167L, 3169L, 3171L, 3173L, 3174L, 3176L, 3178L, 3180L, 3182L, 3184L, 3186L, 3188L, 3190L, 3192L, 3193L, 3195L, 3197L, 3199L, 3201L, 3203L, 3205L, 3207L, 3209L, 3211L, 3212L, 3214L, 3216L, 3218L, 3220L, 3222L, 3224L, 3226L, 3228L, 3230L, 3231L, 3233L, 3235L, 3237L, 3239L, 3241L, 3243L, 3245L, 3247L, 3249L, 3250L, 3252L, 3254L, 3256L, 3258L, 3260L, 3262L, 3264L, 3266L, 3268L, 3269L, 3271L, 3273L, 3275L, 3277L, 3279L, 3281L, 3283L, 3285L, 3287L, 3288L, 3290L, 3292L, 3294L, 3296L, 3298L, 3300L, 3302L, 3304L, 3306L, 3307L, 3309L, 3311L, 3313L, 3315L, 3317L, 3319L, 3321L, 3323L, 3325L, 3326L, 3328L, 3330L, 3332L, 3334L, 3336L, 3338L, 3340L, 3342L, 3344L, 3345L, 3347L, 3349L, 3351L, 3353L, 3355L, 3357L, 3359L, 3361L, 3363L, 3364L, 3366L, 3368L, 3370L, 3372L, 3374L, 3376L, 3378L, 3380L, 3382L, 3383L, 3385L, 3387L, 3389L, 3391L, 3393L, 3395L, 3397L, 3399L, 3401L, 3402L, 3404L, 3406L, 3408L, 3410L, 3412L, 3414L, 3416L, 3418L, 3420L, 3421L, 3423L, 3425L, 3427L, 3429L, 3431L, 3433L, 3435L, 3437L, 3439L, 3440L, 3442L, 3444L, 3446L, 3448L, 3450L, 3452L, 3454L, 3456L, 3458L, 3459L, 3461L, 3463L, 3465L, 3467L, 3469L, 3471L, 3473L, 3475L, 3477L, 3478L, 3480L, 3482L, 3484L, 3486L, 3488L, 3490L, 3492L, 3494L, 3496L, 3497L, 3499L, 3501L, 3503L, 3505L, 3507L, 3509L, 3511L, 3513L, 3515L, 3516L, 3518L, 3520L, 3522L, 3524L, 3526L, 3528L, 3530L, 3532L, 3534L, 3535L, 3537L, 3539L, 3541L, 3543L, 3545L, 3547L, 3549L, 3551L, 3553L, 3554L, 3556L, 3558L, 3560L, 3562L, 3564L, 3566L, 3568L, 3570L, 3572L, 3573L, 3575L, 3577L, 3579L, 3581L, 3583L, 3585L, 3587L, 3589L, 3591L, 3592L, 3594L, 3596L, 3598L, 3600L, 3602L, 3604L, 3606L, 3608L, 3610L, 3611L, 3613L, 3615L, 3617L, 3619L, 3621L, 3623L, 3625L, 3627L, 3629L, 3630L, 3632L, 3634L, 3636L, 3638L, 3640L, 3642L, 3644L, 3646L, 3648L, 3649L, 3651L, 3653L, 3655L, 3657L, 3659L, 3661L, 3663L, 3665L, 3667L, 3668L, 3670L, 3672L, 3674L, 3676L, 3678L, 3680L, 3682L, 3684L, 3686L, 3687L, 3689L, 3691L, 3693L, 3695L, 3697L, 3699L, 3701L, 3703L, 3705L, 3706L, 3708L, 3710L, 3712L, 3714L, 3716L, 3718L, 3720L, 3722L, 3724L, 3725L, 3727L, 3729L, 3731L, 3733L, 3735L, 3737L, 3739L, 3741L, 3743L, 3744L, 3746L, 3748L, 3750L, 3752L, 3754L, 3756L, 3758L, 3760L, 3762L, 3763L, 3765L, 3767L, 3769L, 3771L, 3773L, 3775L, 3777L, 3779L, 3781L, 3782L, 3784L, 3786L, 3788L, 3790L, 3792L, 3794L, 3796L, 3798L, 3800L), Dim = c(400L, 2000L), Dimnames = list(c("1", "1", "2", "2", "3", "3", "4", "4", "5", "5", "6", "6", "7", "7", "8", "8", "9", "9", "10", "10", "11", "11", "12", "12", "13", "13", "14", "14", "15", "15", "16", "16", "17", "17", "18", "18", "19", "19", "20", "20", "21", "21", "22", "22", "23", "23", "24", "24", "25", "25", "26", "26", "27", "27", "28", "28", "29", "29", "30", "30", "31", "31", "32", "32", "33", "33", "34", "34", "35", "35", "36", "36", "37", "37", "38", "38", "39", "39", "40", "40", "41", "41", "42", "42", "43", "43", "44", "44", "45", "45", "46", "46", "47", "47", "48", "48", "49", "49", "50", "50", "51", "51", "52", "52", "53", "53", "54", "54", "55", "55", "56", "56", "57", "57", "58", "58", "59", "59", "60", "60", "61", "61", "62", "62", "63", "63", "64", "64", "65", "65", "66", "66", "67", "67", "68", "68", "69", "69", "70", "70", "71", "71", "72", "72", "73", "73", "74", "74", "75", "75", "76", "76", "77", "77", "78", "78", "79", "79", "80", "80", "81", "81", "82", "82", "83", "83", "84", "84", "85", "85", "86", "86", "87", "87", "88", "88", "89", "89", "90", "90", "91", "91", "92", "92", "93", "93", "94", "94", "95", "95", "96", "96", "97", "97", "98", "98", "99", "99", "100", "100", "101", "101", "102", "102", "103", "103", "104", "104", "105", "105", "106", "106", "107", "107", "108", "108", "109", "109", "110", "110", "111", "111", "112", "112", "113", "113", "114", "114", "115", "115", "116", "116", "117", "117", "118", "118", "119", "119", "120", "120", "121", "121", "122", "122", "123", "123", "124", "124", "125", "125", "126", "126", "127", "127", "128", "128", "129", "129", "130", "130", "131", "131", "132", "132", "133", "133", "134", "134", "135", "135", "136", "136", "137", "137", "138", "138", "139", "139", "140", "140", "141", "141", "142", "142", "143", "143", "144", "144", "145", "145", "146", "146", "147", "147", "148", "148", "149", "149", "150", "150", "151", "151", "152", "152", "153", "153", "154", "154", "155", "155", "156", "156", "157", "157", "158", "158", "159", "159", "160", "160", "161", "161", "162", "162", "163", "163", "164", "164", "165", "165", "166", "166", "167", "167", "168", "168", "169", "169", "170", "170", "171", "171", "172", "172", "173", "173", "174", "174", "175", "175", "176", "176", "177", "177", "178", "178", "179", "179", "180", "180", "181", "181", "182", "182", "183", "183", "184", "184", "185", "185", "186", "186", "187", "187", "188", "188", "189", "189", "190", "190", "191", "191", "192", "192", "193", "193", "194", "194", "195", "195", "196", "196", "197", "197", "198", "198", "199", "199", "200", "200"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180", "181", "182", "183", "184", "185", "186", "187", "188", "189", "190", "191", "192", "193", "194", "195", "196", "197", "198", "199", "200", "201", "202", "203", "204", "205", "206", "207", "208", "209", "210", "211", "212", "213", "214", "215", "216", "217", "218", "219", "220", "221", "222", "223", "224", "225", "226", "227", "228", "229", "230", "231", "232", "233", "234", "235", "236", "237", "238", "239", "240", "241", "242", "243", "244", "245", "246", "247", "248", "249", "250", "251", "252", "253", "254", "255", "256", "257", "258", "259", "260", "261", "262", "263", "264", "265", "266", "267", "268", "269", "270", "271", "272", "273", "274", "275", "276", "277", "278", "279", "280", "281", "282", "283", "284", "285", "286", "287", "288", "289", "290", "291", "292", "293", "294", "295", "296", "297", "298", "299", "300", "301", "302", "303", "304", "305", "306", "307", "308", "309", "310", "311", "312", "313", "314", "315", "316", "317", "318", "319", "320", "321", "322", "323", "324", "325", "326", "327", "328", "329", "330", "331", "332", "333", "334", "335", "336", "337", "338", "339", "340", "341", "342", "343", "344", "345", "346", "347", "348", "349", "350", "351", "352", "353", "354", "355", "356", "357", "358", "359", "360", "361", "362", "363", "364", "365", "366", "367", "368", "369", "370", "371", "372", "373", "374", "375", "376", "377", "378", "379", "380", "381", "382", "383", "384", "385", "386", "387", "388", "389", "390", "391", "392", "393", "394", "395", "396", "397", "398", "399", "400", "401", "402", "403", "404", "405", "406", "407", "408", "409", "410", "411", "412", "413", "414", "415", "416", "417", "418", "419", "420", "421", "422", "423", "424", "425", "426", "427", "428", "429", "430", "431", "432", "433", "434", "435", "436", "437", "438", "439", "440", "441", "442", "443", "444", "445", "446", "447", "448", "449", "450", "451", "452", "453", "454", "455", "456", "457", "458", "459", "460", "461", "462", "463", "464", "465", "466", "467", "468", "469", "470", "471", "472", "473", "474", "475", "476", "477", "478", "479", "480", "481", "482", "483", "484", "485", "486", "487", "488", "489", "490", "491", "492", "493", "494", "495", "496", "497", "498", "499", "500", "501", "502", "503", "504", "505", "506", "507", "508", "509", "510", "511", "512", "513", "514", "515", "516", "517", "518", "519", "520", "521", "522", "523", "524", "525", "526", "527", "528", "529", "530", "531", "532", "533", "534", "535", "536", "537", "538", "539", "540", "541", "542", "543", "544", "545", "546", "547", "548", "549", "550", "551", "552", "553", "554", "555", "556", "557", "558", "559", "560", "561", "562", "563", "564", "565", "566", "567", "568", "569", "570", "571", "572", "573", "574", "575", "576", "577", "578", "579", "580", "581", "582", "583", "584", "585", "586", "587", "588", "589", "590", "591", "592", "593", "594", "595", "596", "597", "598", "599", "600", "601", "602", "603", "604", "605", "606", "607", "608", "609", "610", "611", "612", "613", "614", "615", "616", "617", "618", "619", "620", "621", "622", "623", "624", "625", "626", "627", "628", "629", "630", "631", "632", "633", "634", "635", "636", "637", "638", "639", "640", "641", "642", "643", "644", "645", "646", "647", "648", "649", "650", "651", "652", "653", "654", "655", "656", "657", "658", "659", "660", "661", "662", "663", "664", "665", "666", "667", "668", "669", "670", "671", "672", "673", "674", "675", "676", "677", "678", "679", "680", "681", "682", "683", "684", "685", "686", "687", "688", "689", "690", "691", "692", "693", "694", "695", "696", "697", "698", "699", "700", "701", "702", "703", "704", "705", "706", "707", "708", "709", "710", "711", "712", "713", "714", "715", "716", "717", "718", "719", "720", "721", "722", "723", "724", "725", "726", "727", "728", "729", "730", "731", "732", "733", "734", "735", "736", "737", "738", "739", "740", "741", "742", "743", "744", "745", "746", "747", "748", "749", "750", "751", "752", "753", "754", "755", "756", "757", "758", "759", "760", "761", "762", "763", "764", "765", "766", "767", "768", "769", "770", "771", "772", "773", "774", "775", "776", "777", "778", "779", "780", "781", "782", "783", "784", "785", "786", "787", "788", "789", "790", "791", "792", "793", "794", "795", "796", "797", "798", "799", "800", "801", "802", "803", "804", "805", "806", "807", "808", "809", "810", "811", "812", "813", "814", "815", "816", "817", "818", "819", "820", "821", "822", "823", "824", "825", "826", "827", "828", "829", "830", "831", "832", "833", "834", "835", "836", "837", "838", "839", "840", "841", "842", "843", "844", "845", "846", "847", "848", "849", "850", "851", "852", "853", "854", "855", "856", "857", "858", "859", "860", "861", "862", "863", "864", "865", "866", "867", "868", "869", "870", "871", "872", "873", "874", "875", "876", "877", "878", "879", "880", "881", "882", "883", "884", "885", "886", "887", "888", "889", "890", "891", "892", "893", "894", "895", "896", "897", "898", "899", "900", "901", "902", "903", "904", "905", "906", "907", "908", "909", "910", "911", "912", "913", "914", "915", "916", "917", "918", "919", "920", "921", "922", "923", "924", "925", "926", "927", "928", "929", "930", "931", "932", "933", "934", "935", "936", "937", "938", "939", "940", "941", "942", "943", "944", "945", "946", "947", "948", "949", "950", "951", "952", "953", "954", "955", "956", "957", "958", "959", "960", "961", "962", "963", "964", "965", "966", "967", "968", "969", "970", "971", "972", "973", "974", "975", "976", "977", "978", "979", "980", "981", "982", "983", "984", "985", "986", "987", "988", "989", "990", "991", "992", "993", "994", "995", "996", "997", "998", "999", "1000", "1001", "1002", "1003", "1004", "1005", "1006", "1007", "1008", "1009", "1010", "1011", "1012", "1013", "1014", "1015", "1016", "1017", "1018", "1019", "1020", "1021", "1022", "1023", "1024", "1025", "1026", "1027", "1028", "1029", "1030", "1031", "1032", "1033", "1034", "1035", "1036", "1037", "1038", "1039", "1040", "1041", "1042", "1043", "1044", "1045", "1046", "1047", "1048", "1049", "1050", "1051", "1052", "1053", "1054", "1055", "1056", "1057", "1058", "1059", "1060", "1061", "1062", "1063", "1064", "1065", "1066", "1067", "1068", "1069", "1070", "1071", "1072", "1073", "1074", "1075", "1076", "1077", "1078", "1079", "1080", "1081", "1082", "1083", "1084", "1085", "1086", "1087", "1088", "1089", "1090", "1091", "1092", "1093", "1094", "1095", "1096", "1097", "1098", "1099", "1100", "1101", "1102", "1103", "1104", "1105", "1106", "1107", "1108", "1109", "1110", "1111", "1112", "1113", "1114", "1115", "1116", "1117", "1118", "1119", "1120", "1121", "1122", "1123", "1124", "1125", "1126", "1127", "1128", "1129", "1130", "1131", "1132", "1133", "1134", "1135", "1136", "1137", "1138", "1139", "1140", "1141", "1142", "1143", "1144", "1145", "1146", "1147", "1148", "1149", "1150", "1151", "1152", "1153", "1154", "1155", "1156", "1157", "1158", "1159", "1160", "1161", "1162", "1163", "1164", "1165", "1166", "1167", "1168", "1169", "1170", "1171", "1172", "1173", "1174", "1175", "1176", "1177", "1178", "1179", "1180", "1181", "1182", "1183", "1184", "1185", "1186", "1187", "1188", "1189", "1190", "1191", "1192", "1193", "1194", "1195", "1196", "1197", "1198", "1199", "1200", "1201", "1202", "1203", "1204", "1205", "1206", "1207", "1208", "1209", "1210", "1211", "1212", "1213", "1214", "1215", "1216", "1217", "1218", "1219", "1220", "1221", "1222", "1223", "1224", "1225", "1226", "1227", "1228", "1229", "1230", "1231", "1232", "1233", "1234", "1235", "1236", "1237", "1238", "1239", "1240", "1241", "1242", "1243", "1244", "1245", "1246", "1247", "1248", "1249", "1250", "1251", "1252", "1253", "1254", "1255", "1256", "1257", "1258", "1259", "1260", "1261", "1262", "1263", "1264", "1265", "1266", "1267", "1268", "1269", "1270", "1271", "1272", "1273", "1274", "1275", "1276", "1277", "1278", "1279", "1280", "1281", "1282", "1283", "1284", "1285", "1286", "1287", "1288", "1289", "1290", "1291", "1292", "1293", "1294", "1295", "1296", "1297", "1298", "1299", "1300", "1301", "1302", "1303", "1304", "1305", "1306", "1307", "1308", "1309", "1310", "1311", "1312", "1313", "1314", "1315", "1316", "1317", "1318", "1319", "1320", "1321", "1322", "1323", "1324", "1325", "1326", "1327", "1328", "1329", "1330", "1331", "1332", "1333", "1334", "1335", "1336", "1337", "1338", "1339", "1340", "1341", "1342", "1343", "1344", "1345", "1346", "1347", "1348", "1349", "1350", "1351", "1352", "1353", "1354", "1355", "1356", "1357", "1358", "1359", "1360", "1361", "1362", "1363", "1364", "1365", "1366", "1367", "1368", "1369", "1370", "1371", "1372", "1373", "1374", "1375", "1376", "1377", "1378", "1379", "1380", "1381", "1382", "1383", "1384", "1385", "1386", "1387", "1388", "1389", "1390", "1391", "1392", "1393", "1394", "1395", "1396", "1397", "1398", "1399", "1400", "1401", "1402", "1403", "1404", "1405", "1406", "1407", "1408", "1409", "1410", "1411", "1412", "1413", "1414", "1415", "1416", "1417", "1418", "1419", "1420", "1421", "1422", "1423", "1424", "1425", "1426", "1427", "1428", "1429", "1430", "1431", "1432", "1433", "1434", "1435", "1436", "1437", "1438", "1439", "1440", "1441", "1442", "1443", "1444", "1445", "1446", "1447", "1448", "1449", "1450", "1451", "1452", "1453", "1454", "1455", "1456", "1457", "1458", "1459", "1460", "1461", "1462", "1463", "1464", "1465", "1466", "1467", "1468", "1469", "1470", "1471", "1472", "1473", "1474", "1475", "1476", "1477", "1478", "1479", "1480", "1481", "1482", "1483", "1484", "1485", "1486", "1487", "1488", "1489", "1490", "1491", "1492", "1493", "1494", "1495", "1496", "1497", "1498", "1499", "1500", "1501", "1502", "1503", "1504", "1505", "1506", "1507", "1508", "1509", "1510", "1511", "1512", "1513", "1514", "1515", "1516", "1517", "1518", "1519", "1520", "1521", "1522", "1523", "1524", "1525", "1526", "1527", "1528", "1529", "1530", "1531", "1532", "1533", "1534", "1535", "1536", "1537", "1538", "1539", "1540", "1541", "1542", "1543", "1544", "1545", "1546", "1547", "1548", "1549", "1550", "1551", "1552", "1553", "1554", "1555", "1556", "1557", "1558", "1559", "1560", "1561", "1562", "1563", "1564", "1565", "1566", "1567", "1568", "1569", "1570", "1571", "1572", "1573", "1574", "1575", "1576", "1577", "1578", "1579", "1580", "1581", "1582", "1583", "1584", "1585", "1586", "1587", "1588", "1589", "1590", "1591", "1592", "1593", "1594", "1595", "1596", "1597", "1598", "1599", "1600", "1601", "1602", "1603", "1604", "1605", "1606", "1607", "1608", "1609", "1610", "1611", "1612", "1613", "1614", "1615", "1616", "1617", "1618", "1619", "1620", "1621", "1622", "1623", "1624", "1625", "1626", "1627", "1628", "1629", "1630", "1631", "1632", "1633", "1634", "1635", "1636", "1637", "1638", "1639", "1640", "1641", "1642", "1643", "1644", "1645", "1646", "1647", "1648", "1649", "1650", "1651", "1652", "1653", "1654", "1655", "1656", "1657", "1658", "1659", "1660", "1661", "1662", "1663", "1664", "1665", "1666", "1667", "1668", "1669", "1670", "1671", "1672", "1673", "1674", "1675", "1676", "1677", "1678", "1679", "1680", "1681", "1682", "1683", "1684", "1685", "1686", "1687", "1688", "1689", "1690", "1691", "1692", "1693", "1694", "1695", "1696", "1697", "1698", "1699", "1700", "1701", "1702", "1703", "1704", "1705", "1706", "1707", "1708", "1709", "1710", "1711", "1712", "1713", "1714", "1715", "1716", "1717", "1718", "1719", "1720", "1721", "1722", "1723", "1724", "1725", "1726", "1727", "1728", "1729", "1730", "1731", "1732", "1733", "1734", "1735", "1736", "1737", "1738", "1739", "1740", "1741", "1742", "1743", "1744", "1745", "1746", "1747", "1748", "1749", "1750", "1751", "1752", "1753", "1754", "1755", "1756", "1757", "1758", "1759", "1760", "1761", "1762", "1763", "1764", "1765", "1766", "1767", "1768", "1769", "1770", "1771", "1772", "1773", "1774", "1775", "1776", "1777", "1778", "1779", "1780", "1781", "1782", "1783", "1784", "1785", "1786", "1787", "1788", "1789", "1790", "1791", "1792", "1793", "1794", "1795", "1796", "1797", "1798", "1799", "1800", "1801", "1802", "1803", "1804", "1805", "1806", "1807", "1808", "1809", "1810", "1811", "1812", "1813", "1814", "1815", "1816", "1817", "1818", "1819", "1820", "1821", "1822", "1823", "1824", "1825", "1826", "1827", "1828", "1829", "1830", "1831", "1832", "1833", "1834", "1835", "1836", "1837", "1838", "1839", "1840", "1841", "1842", "1843", "1844", "1845", "1846", "1847", "1848", "1849", "1850", "1851", "1852", "1853", "1854", "1855", "1856", "1857", "1858", "1859", "1860", "1861", "1862", "1863", "1864", "1865", "1866", "1867", "1868", "1869", "1870", "1871", "1872", "1873", "1874", "1875", "1876", "1877", "1878", "1879", "1880", "1881", "1882", "1883", "1884", "1885", "1886", "1887", "1888", "1889", "1890", "1891", "1892", "1893", "1894", "1895", "1896", "1897", "1898", "1899", "1900", "1901", "1902", "1903", "1904", "1905", "1906", "1907", "1908", "1909", "1910", "1911", "1912", "1913", "1914", "1915", "1916", "1917", "1918", "1919", "1920", "1921", "1922", "1923", "1924", "1925", "1926", "1927", "1928", "1929", "1930", "1931", "1932", "1933", "1934", "1935", "1936", "1937", "1938", "1939", "1940", "1941", "1942", "1943", "1944", "1945", "1946", "1947", "1948", "1949", "1950", "1951", "1952", "1953", "1954", "1955", "1956", "1957", "1958", "1959", "1960", "1961", "1962", "1963", "1964", "1965", "1966", "1967", "1968", "1969", "1970", "1971", "1972", "1973", "1974", "1975", "1976", "1977", "1978", "1979", "1980", "1981", "1982", "1983", "1984", "1985", "1986", "1987", "1988", "1989", "1990", "1991", "1992", "1993", "1994", "1995", "1996", "1997", "1998", "1999", "2000")), x = c(1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2), factors = list()), theta = c(1, 0, 1), Lambdat = new("dgCMatrix", i = c(0L, 0L, 1L, 2L, 2L, 3L, 4L, 4L, 5L, 6L, 6L, 7L, 8L, 8L, 9L, 10L, 10L, 11L, 12L, 12L, 13L, 14L, 14L, 15L, 16L, 16L, 17L, 18L, 18L, 19L, 20L, 20L, 21L, 22L, 22L, 23L, 24L, 24L, 25L, 26L, 26L, 27L, 28L, 28L, 29L, 30L, 30L, 31L, 32L, 32L, 33L, 34L, 34L, 35L, 36L, 36L, 37L, 38L, 38L, 39L, 40L, 40L, 41L, 42L, 42L, 43L, 44L, 44L, 45L, 46L, 46L, 47L, 48L, 48L, 49L, 50L, 50L, 51L, 52L, 52L, 53L, 54L, 54L, 55L, 56L, 56L, 57L, 58L, 58L, 59L, 60L, 60L, 61L, 62L, 62L, 63L, 64L, 64L, 65L, 66L, 66L, 67L, 68L, 68L, 69L, 70L, 70L, 71L, 72L, 72L, 73L, 74L, 74L, 75L, 76L, 76L, 77L, 78L, 78L, 79L, 80L, 80L, 81L, 82L, 82L, 83L, 84L, 84L, 85L, 86L, 86L, 87L, 88L, 88L, 89L, 90L, 90L, 91L, 92L, 92L, 93L, 94L, 94L, 95L, 96L, 96L, 97L, 98L, 98L, 99L, 100L, 100L, 101L, 102L, 102L, 103L, 104L, 104L, 105L, 106L, 106L, 107L, 108L, 108L, 109L, 110L, 110L, 111L, 112L, 112L, 113L, 114L, 114L, 115L, 116L, 116L, 117L, 118L, 118L, 119L, 120L, 120L, 121L, 122L, 122L, 123L, 124L, 124L, 125L, 126L, 126L, 127L, 128L, 128L, 129L, 130L, 130L, 131L, 132L, 132L, 133L, 134L, 134L, 135L, 136L, 136L, 137L, 138L, 138L, 139L, 140L, 140L, 141L, 142L, 142L, 143L, 144L, 144L, 145L, 146L, 146L, 147L, 148L, 148L, 149L, 150L, 150L, 151L, 152L, 152L, 153L, 154L, 154L, 155L, 156L, 156L, 157L, 158L, 158L, 159L, 160L, 160L, 161L, 162L, 162L, 163L, 164L, 164L, 165L, 166L, 166L, 167L, 168L, 168L, 169L, 170L, 170L, 171L, 172L, 172L, 173L, 174L, 174L, 175L, 176L, 176L, 177L, 178L, 178L, 179L, 180L, 180L, 181L, 182L, 182L, 183L, 184L, 184L, 185L, 186L, 186L, 187L, 188L, 188L, 189L, 190L, 190L, 191L, 192L, 192L, 193L, 194L, 194L, 195L, 196L, 196L, 197L, 198L, 198L, 199L, 200L, 200L, 201L, 202L, 202L, 203L, 204L, 204L, 205L, 206L, 206L, 207L, 208L, 208L, 209L, 210L, 210L, 211L, 212L, 212L, 213L, 214L, 214L, 215L, 216L, 216L, 217L, 218L, 218L, 219L, 220L, 220L, 221L, 222L, 222L, 223L, 224L, 224L, 225L, 226L, 226L, 227L, 228L, 228L, 229L, 230L, 230L, 231L, 232L, 232L, 233L, 234L, 234L, 235L, 236L, 236L, 237L, 238L, 238L, 239L, 240L, 240L, 241L, 242L, 242L, 243L, 244L, 244L, 245L, 246L, 246L, 247L, 248L, 248L, 249L, 250L, 250L, 251L, 252L, 252L, 253L, 254L, 254L, 255L, 256L, 256L, 257L, 258L, 258L, 259L, 260L, 260L, 261L, 262L, 262L, 263L, 264L, 264L, 265L, 266L, 266L, 267L, 268L, 268L, 269L, 270L, 270L, 271L, 272L, 272L, 273L, 274L, 274L, 275L, 276L, 276L, 277L, 278L, 278L, 279L, 280L, 280L, 281L, 282L, 282L, 283L, 284L, 284L, 285L, 286L, 286L, 287L, 288L, 288L, 289L, 290L, 290L, 291L, 292L, 292L, 293L, 294L, 294L, 295L, 296L, 296L, 297L, 298L, 298L, 299L, 300L, 300L, 301L, 302L, 302L, 303L, 304L, 304L, 305L, 306L, 306L, 307L, 308L, 308L, 309L, 310L, 310L, 311L, 312L, 312L, 313L, 314L, 314L, 315L, 316L, 316L, 317L, 318L, 318L, 319L, 320L, 320L, 321L, 322L, 322L, 323L, 324L, 324L, 325L, 326L, 326L, 327L, 328L, 328L, 329L, 330L, 330L, 331L, 332L, 332L, 333L, 334L, 334L, 335L, 336L, 336L, 337L, 338L, 338L, 339L, 340L, 340L, 341L, 342L, 342L, 343L, 344L, 344L, 345L, 346L, 346L, 347L, 348L, 348L, 349L, 350L, 350L, 351L, 352L, 352L, 353L, 354L, 354L, 355L, 356L, 356L, 357L, 358L, 358L, 359L, 360L, 360L, 361L, 362L, 362L, 363L, 364L, 364L, 365L, 366L, 366L, 367L, 368L, 368L, 369L, 370L, 370L, 371L, 372L, 372L, 373L, 374L, 374L, 375L, 376L, 376L, 377L, 378L, 378L, 379L, 380L, 380L, 381L, 382L, 382L, 383L, 384L, 384L, 385L, 386L, 386L, 387L, 388L, 388L, 389L, 390L, 390L, 391L, 392L, 392L, 393L, 394L, 394L, 395L, 396L, 396L, 397L, 398L, 398L, 399L), p = c(0L, 1L, 3L, 4L, 6L, 7L, 9L, 10L, 12L, 13L, 15L, 16L, 18L, 19L, 21L, 22L, 24L, 25L, 27L, 28L, 30L, 31L, 33L, 34L, 36L, 37L, 39L, 40L, 42L, 43L, 45L, 46L, 48L, 49L, 51L, 52L, 54L, 55L, 57L, 58L, 60L, 61L, 63L, 64L, 66L, 67L, 69L, 70L, 72L, 73L, 75L, 76L, 78L, 79L, 81L, 82L, 84L, 85L, 87L, 88L, 90L, 91L, 93L, 94L, 96L, 97L, 99L, 100L, 102L, 103L, 105L, 106L, 108L, 109L, 111L, 112L, 114L, 115L, 117L, 118L, 120L, 121L, 123L, 124L, 126L, 127L, 129L, 130L, 132L, 133L, 135L, 136L, 138L, 139L, 141L, 142L, 144L, 145L, 147L, 148L, 150L, 151L, 153L, 154L, 156L, 157L, 159L, 160L, 162L, 163L, 165L, 166L, 168L, 169L, 171L, 172L, 174L, 175L, 177L, 178L, 180L, 181L, 183L, 184L, 186L, 187L, 189L, 190L, 192L, 193L, 195L, 196L, 198L, 199L, 201L, 202L, 204L, 205L, 207L, 208L, 210L, 211L, 213L, 214L, 216L, 217L, 219L, 220L, 222L, 223L, 225L, 226L, 228L, 229L, 231L, 232L, 234L, 235L, 237L, 238L, 240L, 241L, 243L, 244L, 246L, 247L, 249L, 250L, 252L, 253L, 255L, 256L, 258L, 259L, 261L, 262L, 264L, 265L, 267L, 268L, 270L, 271L, 273L, 274L, 276L, 277L, 279L, 280L, 282L, 283L, 285L, 286L, 288L, 289L, 291L, 292L, 294L, 295L, 297L, 298L, 300L, 301L, 303L, 304L, 306L, 307L, 309L, 310L, 312L, 313L, 315L, 316L, 318L, 319L, 321L, 322L, 324L, 325L, 327L, 328L, 330L, 331L, 333L, 334L, 336L, 337L, 339L, 340L, 342L, 343L, 345L, 346L, 348L, 349L, 351L, 352L, 354L, 355L, 357L, 358L, 360L, 361L, 363L, 364L, 366L, 367L, 369L, 370L, 372L, 373L, 375L, 376L, 378L, 379L, 381L, 382L, 384L, 385L, 387L, 388L, 390L, 391L, 393L, 394L, 396L, 397L, 399L, 400L, 402L, 403L, 405L, 406L, 408L, 409L, 411L, 412L, 414L, 415L, 417L, 418L, 420L, 421L, 423L, 424L, 426L, 427L, 429L, 430L, 432L, 433L, 435L, 436L, 438L, 439L, 441L, 442L, 444L, 445L, 447L, 448L, 450L, 451L, 453L, 454L, 456L, 457L, 459L, 460L, 462L, 463L, 465L, 466L, 468L, 469L, 471L, 472L, 474L, 475L, 477L, 478L, 480L, 481L, 483L, 484L, 486L, 487L, 489L, 490L, 492L, 493L, 495L, 496L, 498L, 499L, 501L, 502L, 504L, 505L, 507L, 508L, 510L, 511L, 513L, 514L, 516L, 517L, 519L, 520L, 522L, 523L, 525L, 526L, 528L, 529L, 531L, 532L, 534L, 535L, 537L, 538L, 540L, 541L, 543L, 544L, 546L, 547L, 549L, 550L, 552L, 553L, 555L, 556L, 558L, 559L, 561L, 562L, 564L, 565L, 567L, 568L, 570L, 571L, 573L, 574L, 576L, 577L, 579L, 580L, 582L, 583L, 585L, 586L, 588L, 589L, 591L, 592L, 594L, 595L, 597L, 598L, 600L ), Dim = c(400L, 400L), Dimnames = list(NULL, NULL), x = c(1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1), factors = list()), Lind = c(1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L), n = 2000L, X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1)) 8: do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) 9: (function (fr, X, reTrms, REML = TRUE, start = NULL, verbose = 0, control = lmerControl(), ...) { p <- ncol(X) rho <- new.env(parent = parent.env(environment())) rho$pp <- do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) REMLpass <- if (REML) p else 0L rho$resp <- if (missing(fr)) mkRespMod(REML = REMLpass, ...) else mkRespMod(fr, REML = REMLpass) pp <- resp <- NULL rho$lmer_Deviance <- lmer_Deviance devfun <- function(theta) .Call(lmer_Deviance, pp$ptr(), resp$ptr(), as.double(theta)) environment(devfun) <- rho if (is.null(start) && all(reTrms$cnms == "(Intercept)") && length(reTrms$flist) == length(reTrms$lower) && !is.null(y <- model.response(fr))) { v <- sapply(reTrms$flist, function(f) var(ave(y, f))) v.e <- var(y) - sum(v) if (!is.na(v.e) && v.e > 0) { v.rel <- v/v.e if (all(v.rel >= reTrms$lower^2)) rho$pp$setTheta(sqrt(v.rel)) } } if (length(rho$resp$y) > 0) devfun(rho$pp$theta) rho$lower <- reTrms$lower devfun})(fr = list(Y = c(-1.08049204739491, -0.680241509559807, -0.651483733936645, -0.391153975084427, -0.194078758440616, -0.0299178326846252, 0.0915831070726823, 0.179770575578827, 0.395106308235395, 0.183250211551089, -0.983723753325511, -0.547307851867043, -0.207244919621007, -0.143600084606744, 0.0966293612124819, 0.374120856167268, 0.558348861222914, 0.526765448372462, 0.464684858215037, 0.794892429097117, -1.10718162649185, -0.990516691022845, -0.634283499357763, -0.551526953922653, -0.10591729443751, 0.171529404127891, -0.0197551973151322, 0.160187986323285, 0.228692941677018, 0.239857120264067, -0.724744318920458, -0.161415909861211, -0.0942947590494218, 0.287276438912974, 0.540459649997472, 0.613220437961115, 0.834613448732061, 0.815707558928517, 0.786873304657883, 0.910129402076525, -0.944530942458351, -0.435697808991655, -0.366102330479427, -0.0698184647161988, 0.0350865486955184, -0.156070551913071, 0.0987809916144342, 0.2441336626617, 0.32186978614008, 0.0360564659794654, -1.14997085189733, -0.965251046264667, -0.678270331298838, -0.496224065939802, -0.263238756647819, 0.0710911517558851, 0.260196086976484, 0.10376585564981, 0.277906786162946, 0.457202815973271, -0.899074992736446, -0.316242340878754, -0.126718603414201, 0.0502362802499105, 0.193648496489226, 0.384063531593883, 0.408998069875038, 0.626345453871463, 0.75601401791874, 0.721278323413423, -0.859827014127644, -0.620795278292639, -0.189784341067656, 0.105852815384809, 0.397939752846407, 0.292549710145121, 0.582913248752645, 0.65238273105467, 0.791480058886135, 0.672839147922177, -0.862995479954378, -0.628515644792719, -0.291651089056681, -0.0417024003110876, 0.424478254330202, 0.589482631286332, 0.444059664893448, 0.43275757522172, 0.376718979166969, 0.62286161652526, -1.20067387452039, -0.543902465312747, -0.581188209692761, -0.241280036851682, 0.329366588006018, -0.00132865293767449, 0.262036263380989, 0.202801234959014, 0.390960955466907, 0.272067872642181, -0.538735337191053, -0.264398664897602, -0.0807883487819064, 0.271406647207544, 0.562672812235379, 0.776638611444597, 0.594193723546582, 0.781220569081036, 0.957334753977086, 0.725674532573928, -1.13589709796161, -0.658382653089272, -0.382767884032373, -0.0420527928464184, 0.11256078189111, 0.336314014545983, 0.391650928569944, 0.552517603633742, 0.520216608626598, 0.678032579900987, -1.26010492668826, -0.84817244874923, -0.696097182091725, -0.356690862185824, -0.191649984969894, -0.204220662824541, 0.0614109427992764, 0.265950988843783, 0.24865946560631, 0.18792791452845, -1.78364161052454, -1.24913138593351, -1.09928453821656, -0.933038715126144, -0.543821322146887, -0.64465235200411, -0.436532173025074, -0.277375849078713, -0.323514806615735, -0.43213298036168, -0.704362534899332, -0.30245094388938, -0.00156633061046021, 0.194490179946525, 0.530512046283879, 0.55861548537945, 0.622194440997043, 0.833475852606989, 0.607578025005999, 0.875460476568261, -0.963783987462198, -0.705501251495095, -0.503767966572336, -0.180099153297083, 0.226331125491881, 0.169438254682823, 0.143553929444665, 0.551378951153971, 0.473946434088835, 0.487405763250149, -1.12639348304518, -0.696963145619999, -0.353939729437406, -0.251674411573962, -0.0619677255309729, 0.260494194897318, 0.238698137636134, 0.320571693119209, 0.30759062564589, 0.454312327707779, -0.816268499721033, -0.332269293021768, -0.0764754703670609, 0.0168366666417669, 0.329575078279311, 0.485040147093159, 0.546049130572569, 0.753589074410018, 0.37798114605376, 0.441329794581062, -0.891285562843657, -0.416149386602485, 0.00675561644811523, 0.257785519571868, 0.341024037016331, 0.542753263495955, 0.563583847060516, 0.708647734854999, 0.743547158105095, 0.634486461591561, -0.851159097009834, -0.52223025134963, -0.0957842374052129, -0.104796554945487, -0.0179662405486728, 0.425353883419978, 0.382462614052528, 0.496514425500651, 0.667135889794316, 0.497390856221023, -0.758413486481315, -0.279742070478549, -0.122337660894348, 0.0943606223569572, 0.202277897335747, 0.238569420834763, 0.299371491147452, 0.483980869805862, 0.724270411677792, 0.524541752421344, -0.748921818856041, -0.418492814652318, -0.216178214042607, -0.0829412282249047, 0.519593669740909, 0.365230224172865, 0.493811751893587, 0.42100462760792, 0.612498702153225, 0.610123684349887, -1.00318154284308, -0.849747405129765, -0.225516576487605, -5.9659124570538e-05, 0.0806001196456664, 0.0501182515217741, 0.340689297326351, 0.314131202776065, 0.336833317870137, 0.495603890912212, -1.71959376775728, -1.33813572489671, -1.08984776723031, -0.783973705177791, -0.751962108717634, -0.513242028450135, -0.259054649636717, -0.211371697784856, -0.322034921806786, -0.174980593698219, -1.05731625017215, -0.547371325417508, -0.180796243217484, -0.0962862041461393, 0.148188196611899, 0.135204580242126, 0.482511068806355, 0.276385310062773, 0.453245364767553, 0.44476567685451, -1.01074649912803, -0.765572627759036, -0.206141432211499, -0.277503290950713, 0.10599868341093, -0.0378019347795997, 0.392501308452367, 0.539804404648728, 0.437437794536148, 0.633958866620803, -1.01364101701218, -0.639204902649173, -0.550776808761401, -0.332612154822042, -0.221324815653773, 0.0754575957526891, 0.0861946935490919, 0.361754335626899, 0.333424590225597, 0.539123380277197, -1.55699647509993, -1.02731569976089, -0.941986306170792, -0.818183407820405, -0.438001179158874, -0.500919169033779, -0.364889555617082, -0.273978069544007, -0.160378156253568, -0.301669129101191, -1.03565998421202, -0.947571169661577, -0.529744915610028, -0.300340976706822, -0.223971922187734, -0.00251266038884228, 0.0929721539284668, 0.333263782376122, 0.432157688545837, 0.172194683962537, -0.781560291086065, -0.565657704278778, -0.477834398159632, -0.119213152435537, 0.20047803012367, 0.327353506582286, 0.187585267934356, 0.569315652313148, 0.616750194502652, 0.521249148974516, -0.663152957803017, -0.0926123161844314, -0.0356489416275028, 0.1955634724741, 0.268727602346791, 0.391262209271194, 0.478455397214107, 0.654163733154094, 0.858536407632899, 0.884400679951271, -0.87399984476762, -0.619679632868761, -0.53113985950804, -0.427326465271399, -0.174730109896491, -0.25973743252837, 0.0340785718963482, 0.275889821007585, 0.127935179066585, 0.189860482898105, -0.834764420837798, -0.655125762525309, -0.135921186975269, -0.0906644129285775, 0.00756420138550136, 0.260624655305334, 0.210631639303372, 0.518296241979532, 0.51199575091204, 0.4167751802466, -1.06498440093399, -0.602592896799572, -0.522050082364532, -0.273284455925739, 0.0689231210742195, 0.143261514604954, 0.403289698781106, 0.373801321736478, 0.556524515177236, 0.490463721935192, -1.63763312445788, -1.23373834813285, -0.698513209355216, -0.523806830277076, -0.495194551041245, -0.378175689157898, -0.024843990964294, -0.133508557941658, 0.164215080967473, 0.158064001385098, -1.26996750597014, -0.896574428267279, -0.664073763801451, -0.238819964777439, -0.240654886869949, -0.160613591330912, 0.359979969747888, 0.333894954003005, 0.350956127467933, 0.199284928251848, -1.11941510923814, -0.736507672149433, -0.646293856463646, -0.28979687224115, -0.0585035043291942, 0.254986606652568, 0.272203223071152, 0.418987805891035, 0.348087578477002, 0.22654481843085, -1.05176171620955, -0.883873109788017, -0.363620269377663, -0.0934377346055381, -0.0595136412067498, -0.00895911526027411, 0.300712652427269, 0.269290666074186, 0.240584916925782, 0.375918659446698, -0.745976954140595, -0.229329819565304, -0.142212870104762, 0.227930402665805, 0.485174932856501, 0.430253304527808, 0.73182731788583, 0.769585911287044, 0.89754243188624, 0.760825522484667, -0.779745908868486, -0.319298005865557, -0.166662694278239, 0.133315907311058, 0.223909703024984, 0.298556174778734, 0.516392775789562, 0.471470061114761, 0.371335696758898, 0.745330580908595, -1.15804796057382, -0.910526125811603, -0.346456562328097, -0.204744012550325, -0.0605999380718162, 0.144982665714224, 0.244087720325788, 0.470753949443602, 0.48875018710082, 0.248710928277381, -1.04066865447678, -0.678256804595889, -0.398547913572573, -0.461747754922569, -0.0362999521590866, 0.35224476393132, 0.361500354361054, 0.198926578250585, 0.252014448105392, 0.476513224664349, -0.808316535935807, -0.378718568355969, -0.168907768780631, 0.046860518358404, 0.254671610403758, 0.410969600939799, 0.385916689216572, 0.826852253497767, 0.490222533451606, 0.629740904834728, -0.887432975660069, -0.349172978069515, -0.163729537633792, -0.0964407275285441, 0.165771318073949, 0.407567571191144, 0.620939624917275, 0.49431364053928, 0.387110091815595, 0.380773966965914, -1.00605485032144, -1.08718178143739, -0.287554493689742, -0.371774060352453, -0.183094770060396, 0.0465779953525637, 0.253132023708381, 0.27954101678147, 0.103602032387461, 0.345023418178814, -1.16720609571439, -0.854937268063667, -0.772184408745842, -0.693800777828744, -0.316318447022047, -0.244959190717075, -0.133292987696422, -0.0977627595896215, -0.0273722958081058, -0.0433867478595441, -0.811016140034967, -0.484455560502256, -0.394530717501966, -0.117444677621641, 0.138590094083037, 0.391827053075372, 0.356337052898916, 0.262546725139825, 0.486603135401939, 0.442986447543821, -0.592190837299332, -0.424358444844735, -0.249772351207794, 0.000307513222094567, 0.185951006388161, 0.407798968956712, 0.520045832059662, 0.667691297201436, 0.642320400516789, 0.568324076726794, -1.12776499316304, -0.658499112886924, -0.455989969485025, -0.198735222545834, 0.0865610316249411, 0.305110257905702, 0.148728643445931, 0.48321575572067, 0.267325604833197, 0.376319251897907, -0.713430632578199, -0.438439798264009, 0.0140889187764804, 0.054678803806823, 0.393023348106393, 0.492538693471669, 0.528104104204343, 0.830602746175988, 0.548675320190882, 0.713763461873413, -1.03470849258061, -0.546042305396142, -0.263444506778065, -0.16567880076854, 0.207865316702235, 0.196549129374914, 0.483322262480993, 0.51924183896854, 0.605537107343288, 0.439205649501013, -1.17407251700742, -0.911785528574798, -0.733793643632059, -0.332544791753395, 0.029148631703719, -0.0529550827414613, 0.11244373024176, 0.282417145465328, 0.258668444670794, 0.451462473592438, -0.823942719193685, -0.352724394723699, -0.276666721689241, -0.191155363578472, 0.158657615367803, 0.178850076084698, 0.285874905503422, 0.443402976614728, 0.592005174313176, 0.529761426083835, -1.25740690117788, -0.93644640770059, -0.773843472914794, -0.765065296016899, -0.252941597105841, 0.0371830341946181, -0.0605926460973355, -0.128131057137522, 0.00489052227888573, -0.0570271209016955, -0.57425681149685, -0.181173099724671, 0.119661730770067, 0.298831862101186, 0.384707416983047, 0.72271354489018, 0.899997908686848, 1.07462588293927, 0.844837741232378, 0.946871451087525, -0.286510863836833, -0.0912034600511423, 0.259731887387722, 0.475991951809016, 0.64890244925828, 0.847489739190756, 1.05589735920803, 1.08958105416775, 1.05183224892263, 0.884764507691161, -1.18967276145244, -0.82528277681509, -0.827356772257438, -0.146952224711057, -0.348562991531362, -0.186907469600807, 0.164289854118384, -0.150629422426999, 0.152600408540521, 0.0151230587165841, -1.26765271374379, -0.905485341890835, -0.808704913526407, -0.542511331739403, -0.570196276256194, -0.20468724994628, 0.0518499634019894, 0.147244879681131, 0.342844530976005, 0.150496270503588, -0.782718246927089, -0.503862427064579, -0.28178620532364, 0.0805200061004952, 0.251277715018023, 0.377515462843725, 0.403240339079161, 0.561478173462953, 0.68483555796132, 0.676033603656852, -1.08878163372104, -0.798572677953197, -0.411032321796725, -0.127578756765212, -0.0300274018613842, 0.0773678519397459, 0.131954253286425, 0.249910650130716, 0.175876011586613, 0.247225026740133, -0.166018162982748, 0.155825568541784, 0.242195503724704, 0.595481135800167, 0.786976079398466, 0.779893993905459, 1.1538590688965, 0.968650510123687, 1.082813592859, 1.31540205341485, -1.06585927527138, -0.724154190559044, -0.594961124265792, -0.347620747861611, 0.0233034925675205, 0.121988524606523, 0.19202489559943, 0.189983368833333, 0.246368424266101, 0.552914641944643, -0.82572715060225, -0.40525665272459, -0.133241689360286, 0.0959909502653922, 0.241049717006817, 0.238729574613053, 0.375904944893851, 0.625378419926403, 0.453281756675019, 0.631242752261641, -1.04495330972353, -0.708329931549586, -0.463848425803633, -0.163810917834639, 0.151510183664655, 0.274247348121146, 0.331203773622734, 0.527520726052645, 0.652684359347334, 0.493504732550696, -1.17593301735395, -0.862472880854438, -0.694903995798421, -0.436097444686408, 0.0627069141755977, 0.13352017223688, 0.254756923358188, 0.290956266437256, 0.380881789558806, 0.364166371201937, -0.93916243473697, -0.604439222027399, -0.450753277737637, 0.127983952304888, 0.16612025954033, 0.219359450183646, 0.484819175888597, 0.380348250092143, 0.654227556487667, 0.44420582464575, -1.7736366743125, -1.09618635565586, -0.849992221290951, -0.810769798707215, -0.684004868417726, -0.575555507774561, -0.307645654223975, -0.39228488172444, -0.257992722279019, -0.167348777408213, -0.474781619326094, -0.341961977248412, -0.011464236426816, 0.247746394466579, 0.575993563138345, 0.450589762174572, 0.488850101524401, 0.528051025463028, 0.792010353257238, 0.71474320984787, -0.876815368097118, -0.658205834548353, -0.334416573416884, -0.120414351527564, 0.0509015737586442, 0.138128520611096, 0.438996963156497, 0.345083686483057, 0.485696360732152, 0.429336619028681, -0.170064051412637, 0.0260425963822803, 0.184783610365396, 0.441763183887132, 0.614766338595252, 0.563325657222588, 1.0477564910456, 1.05050587881649, 0.894050588709919, 0.996001324374682, -0.833157550969403, -0.659919864223083, -0.126456136379764, -0.0685807157087351, 0.166787065276249, 0.341594322280114, 0.314867128419926, 0.379402823569365, 0.517251509408837, 0.574368160409241, -1.20560087609208, -0.824427134474725, -0.58306761643372, -0.323076954187808, -0.318462606221317, 0.0494709197807706, 0.0232168595461586, 0.1365492158516, 0.214055926066585, 0.0616688788150791, -0.826735789150419, -0.556652689524289, -0.319909075760006, -0.0784148677653481, 0.287190459138082, 0.18283988312212, 0.393777873991212, 0.235198282198347, 0.442549479436457, 0.447902478301338, -1.12599671069807, -1.03341566153565, -0.72092254701432, -0.509464466358327, -0.127224071923467, 0.155195353296902, 0.0654173637932899, 0.248676682098801, 0.494352207735711, 0.316257659150346, -1.3075387992341, -1.02182595581383, -0.915508365338716, -0.42697860755056, -0.272354815375434, -0.243403449526745, -0.167199698268186, -0.0375655216743739, 0.121653161748842, -0.016913780523566, -1.09998666122169, -0.600718494996014, -0.222605690328319, -0.168582124557462, 0.131157702614598, 0.200843336862239, 0.463350532000354, 0.527521016310259, 0.586997397072162, 0.538221955577986, -1.20392390812082, -0.757697484498187, -0.585688860848384, -0.40576299916203, -0.538761308138778, -0.214883480544637, 0.0795836933893232, 0.0137200462458355, -0.0548278916480202, -0.00583222563737554, -1.03722646910481, -0.727999040920543, -0.345886123562862, -0.000658039892216356, 0.149358123652149, 0.338950096014736, 0.30563383877489, 0.507831598991237, 0.370559935295808, 0.460509580697285, -0.759153812107151, -0.680025103056021, -0.449824066818394, -0.257771565279228, 0.0582134131410909, 0.33263610845832, 0.264657312455654, 0.259233384610859, 0.515150327830421, 0.212794858856249, -1.06370303252833, -0.895190508888883, -0.670936618146093, -0.20214340117255, -0.298668237279382, 0.0162584327929648, 0.174904374541284, 0.215884329078584, 0.143572405556519, 0.250983968286207, -0.191585533786233, -0.0158060965579922, -0.203036293268565, -0.213731266270759, -0.0717734507862261, -0.0595141893894627, -0.112916352362516, -0.111688499458531, -0.0633258491794313, -0.027872592574032, -0.106563480496128, 0.036377892677132, -0.0208576126000596, -0.0494366096893149, 0.0289765314620708, 0.0108967705784663, 0.0259944724915174, -0.0542723971171218, -0.00271700558139079, -0.0285505845349976, 0.20975742157557, 0.329364644443524, 0.255474928081195, 0.250539962258431, 0.285608354995678, 0.284532094936917, 0.235642392043857, 0.274157632943312, 0.413024375049115, 0.284958089282568, -0.319526954657469, -0.271113428479506, -0.290872493157429, -0.340978169477898, -0.371315841418418, -0.277906215694011, -0.31747062051553, -0.302417095323715, -0.344212281895382, -0.415368140429693, 0.122243967439479, 0.23573756450493, 0.0405396371729389, 0.0618073988317574, 0.0416645182251493, 0.0876301168447974, 0.172378901811587, 0.0930598186060477, 0.0853665916629145, 0.031133310176209, 0.0698533950927382, 0.113907185620302, 0.170702444448822, 0.118977258928133, 0.0052920681845652, 0.0191875240062174, 0.0702675938448194, 0.0349435355758508, 0.0447629116760714, -0.0390677521668806, 0.191293474088095, 0.163330072374596, 0.160252705831347, 0.167765889254122, 0.18000170819264, 0.197488159314837, 0.226474317249925, 0.166373149895702, 0.146012074915382, 0.26670120202578, -0.0111434643849437, -0.0217936697415785, 0.0325633929513929, -0.0971214159450195, 0.0584073824310728, 0.021489791556126, -0.0202807020380314, -0.00021438142558694, -0.0241631364843773, -0.0285706761633842, -0.0048079160202074, 0.11306081938328, 0.184975062106719, 0.184275105144184, 0.0902037387759922, 0.078247698082653, 0.0946688773667613, 0.1447931266631, 0.163289223986095, 0.111749055591765, 0.109133694915149, 0.0565333402555552, 0.0872406169233838, 0.12610388173855, 0.253267936694608, 0.0730564998786775, 0.0468166381148366, 0.106981776130721, 0.0688674902425522, 0.125390284087607, -0.0914415862416032, -0.0444295087754737, -0.159960551839653, -0.173984348954754, -0.0370607962041077, -0.105909019854414, -0.165027703445125, -0.174329651822332, -0.149992806309469, -0.094585682703628, 0.215209790660389, 0.310338626237159, 0.257111306325628, 0.256385871223345, 0.24748860217465, 0.235058479050704, 0.243226144957553, 0.311106788159783, 0.188017415554423, 0.31096681163053, 0.214546313304027, 0.269901862808697, 0.231330153834127, 0.168045410252839, 0.25376649637153, 0.20558617800059, 0.294811205517897, 0.198290113693381, 0.151372935800515, 0.199146619990237, 0.111441593785182, 0.0924072744458417, 0.115485682157276, 0.0912596405325136, 0.0941499340782187, 0.124747694214932, 0.0438268701883136, 0.133679162502219, 0.0892035659268788, 0.0810810476619481, 0.215554819909168, 0.310209367102899, 0.305392646019711, 0.383443852193606, 0.418524237126529, 0.418449652503448, 0.309124598799907, 0.332892907440894, 0.376123738383294, 0.335521018014114, 0.0314816754140573, 0.151862363574028, 0.11630020183542, 0.144209720578581, 0.0539340781105221, 0.0976622691435554, 0.0567201243501367, 0.0744093628492401, 0.127938248480955, 0.0763255456362709, -0.30499071742228, -0.317224202423587, -0.320224205830042, -0.288252851698003, -0.156517832626982, -0.271086760422909, -0.290560899662028, -0.30177507848067, -0.235629328283154, -0.244394827346732, -0.102049616859983, -0.124543352836602, -0.0627795984259217, -0.0659133710908742, -0.044869395187458, -0.0812527203415913, -0.033464638359572, -0.0887653552520086, -0.0340464149708726, -0.0843467027044754, -0.278997998719802, -0.306152314001783, -0.280817645462599, -0.283030712224307, -0.217017592475756, -0.248651178430492, -0.277787800364572, -0.29141248141119, -0.171086120810643, -0.258782615675092, -0.157120298367682, -0.117539773750547, -0.0927335147512943, -0.0571056117825647, -0.104363469767441, -0.0958833735542934, -0.154807002290763, -0.0643732441156773, -0.100558395627234, -0.0700647564190005, -0.0467292687240112, -0.111155403729765, -0.130256898783204, -0.150522625007906, -0.137006014969416, -0.149956711835407, -0.081746488649109, -0.169654371756671, -0.1795663693901, -0.121695477543877, 0.0626371249529503, 0.00991009826018276, -0.0255986119893528, 0.0279386085037547, -0.027769401798989, -0.020599137616569, -0.0158554289227214, 0.0302792961745892, 0.0358143440299546, 0.0306568133713482, -0.133231523795756, -0.156949341044705, -0.0706795448351548, -0.0537548796749326, -0.0807095131021635, -0.14936026442567, -0.181617704322077, -0.111206344114726, -0.139854146349815, -0.089581289768955, 0.00408008422651751, 0.0759637175519856, 0.13766849093243, 0.0746903992344276, 0.0618765519604326, 0.0249484248112692, 0.130417249291528, 0.0156912732209148, 0.086780253253965, 0.0950263040688163, -0.122898079863366, -0.28622617552991, -0.132709939351449, -0.0860071668036341, -0.166715089059483, -0.158716816231025, -0.0414874008063276, -0.219252705251325, -0.0604248450257488, -0.078202913625222, 0.320530201123672, 0.363345688834505, 0.369623186440673, 0.385970755965703, 0.386543012495606, 0.360299345426385, 0.406707255282511, 0.469889514417537, 0.440583538641091, 0.488798434236589, 0.129597475031256, 0.172864023965693, 0.169246894704963, 0.107285320885824, 0.103972562305609, 0.238699362225116, 0.104191262563419, 0.193458286038661, 0.132982770400128, 0.0917060154620475, 0.105323968745365, 0.124240334761134, 0.0895755459436486, 0.145395789948808, 0.240789072534263, 0.165591189326194, 0.283999106037354, 0.191047952897876, 0.155303074061868, 0.190493999503453, 0.0473861664819208, 0.0500869514658925, 0.0707298026428685, 0.0672880726147367, 0.0965427525579039, 0.0810524771207812, 0.0883481611043079, 0.0515708132134742, 6.54161922844787e-05, 0.0583226366732202, 0.357067288945541, 0.317690098106162, 0.319901971145768, 0.395501356869531, 0.40920155608805, 0.349333415727054, 0.325435491837068, 0.429102199468903, 0.285735011328173, 0.303759182685803, -0.0846451171950984, -0.168774662952064, -0.0731916748823468, -0.160282944902307, -0.0816465757139412, -0.113054622731591, -0.0547292454853744, -0.0282189373791907, -0.0952143763085661, -0.0546495619194319, -0.182317565838923, -0.105023854323609, -0.151955342254726, -0.080784036952607, -0.0912672559750919, -0.101887243909786, -0.0991027858000856, -0.0416823508155085, -0.0965068947255543, 0.00434641864136757, 0.191248079988858, 0.302403046540447, 0.388146422493001, 0.22361383957745, 0.238570103367483, 0.256486043886254, 0.278932332208162, 0.260393040161211, 0.247211239420097, 0.364608001709638, -0.124036529920942, -0.0784513278476498, -0.284581316456226, -0.082458576146482, -0.0761976082549552, -0.16884259936978, -0.158869736560109, -0.0671531071943408, -0.15139503213337, -0.104461802482522, -0.0120940020532807, -0.0495507827893304, -0.0563997298882833, -0.112950062522321, -0.149030670827439, -0.0433994300238011, -0.0289455323090796, -0.0677422051535344, -0.0112130208952523, -0.019184785204466, -0.0955945389672186, -0.0713296791981703, -0.00429476891715384, -0.0485748894981242, -0.0194756458468037, -0.0304994975061784, 0.0362274392288592, -0.0401771418520231, -0.0900388099224108, -0.0588171879112693, -0.052115499111122, -0.0796194366084746, -0.0767782765729892, -0.0372081241170547, -0.11138011823088, -0.170716628712303, 0.0240620551306001, -0.0572950457978459, -0.028698129623782, -0.0989633129542725, -0.0511417797300845, -0.164019870841651, -0.0389986524780091, -0.0340428881798706, -0.103308393207172, -0.0849792699567035, 0.00812923894538035, -0.0361157167832138, -0.0727804967189199, -0.0422078792819883, 0.0315023067310265, 0.151682704184281, -0.0081026176933791, 0.0313629256714213, 0.109665108535261, 0.127695086712842, -0.022310729726489, 0.0886409756306647, 0.0699063151547717, 0.0453080156474458, -0.0667743474437078, -0.0760677110033817, -0.023483312479544, 0.0314433760519169, -0.101107206862679, -0.0770000729181403, 0.059609285018571, -0.0804541839491785, -0.149198283181309, -0.0148204197057761, -0.0839817910544383, -0.0947426049112935, -0.133238207792396, -0.0666127912709353, -0.0868092975571683, -0.0260553514685624, -0.0512668984426638, -0.0258318852726992, -0.0384147319492987, -0.0284728804818419, 0.306599877828633, 0.160903604608907, 0.307806709308197, 0.221206498911815, 0.313379820366881, 0.367612971253724, 0.286113563072767, 0.27477415080254, 0.317522464860869, 0.407760619036236, -0.0378630093000394, -0.0318568701005148, -0.0629958130641548, -0.0584369579939481, -0.0354258555791343, -0.104281947300814, 0.0405147327322728, -0.0343423169425057, -0.113998798840184, -0.0112006926103979, -0.0479596508008582, -0.133820948355704, 0.049952924750872, -0.116702703786923, -0.136829472853161, -0.054897052461634, -0.0341109691715555, -0.103876797570675, -0.0910271658768442, -0.165812845116156, 0.0277257201843551, -0.00225427259542573, -0.0107031558794336, 0.023794682526783, 0.0384793099036127, -0.0459521469350645, 0.0168607338727939, -0.0545141901939522, 0.108578630987864, 0.0220798619016816, 0.140742489231048, 0.120038395437298, 0.135559469547251, 0.0935546014150477, 0.153815862370155, 0.181845904804665, 0.129028935188575, 0.116096540749939, 0.0772854209185956, 0.189223970867918, 0.00197628450998251, -0.0268496767307344, -0.0454091132192709, -0.00650682818927402, -0.0897560748939024, -0.0962039279655093, -0.0963973720896896, -0.0437719776154766, 0.0122572739150916, 0.00688400005773774, -0.0357845101583102, 0.0641316118600375, -0.0632992113789276, -0.0298945324950554, -0.041148524048245, 0.00422342463427209, -0.0905400963624372, 0.05701882593315, 0.058886593613557, 0.0481752108710349, -0.140431682953291, -0.0823590844173563, -0.119672598505745, -0.0999101419997371, -0.142803116376171, -0.140920350680026, -0.265040088760517, -0.190115609865023, -0.116352094882429, -0.165830051842515, -0.125789423026668, -0.109754090648752, -0.0866063217994238, 0.0502961514531092, -0.0617583400670331, -0.0819968076610529, -0.151370422396673, -0.13881597225372, 0.0204088868873725, -0.0802458455576455, 0.0930922322347816, -0.00587683429866994, -0.107195952859797, 0.117320641201687, -0.0479070398823319, -0.0205548717178358, 0.00810534220447209, -0.00415265082160505, -0.0755315516956021, -0.0765812056413686, -0.0479986508404179, -0.160173693056571, -0.0903293767977128, -0.0533122011931736, -0.184632019498071, -0.187992343688731, -0.25926621438154, -0.0716009608108648, -0.211378832850684, -0.199439973643902, 0.0381014984522275, 0.141764032020026, 0.183581809383468, 0.112769267455675, 0.0797409969431712, 0.0146546461850172, 0.171035606560407, 0.129441808883353, 0.0911854489183243, 0.151818450913616, -0.23875306817884, -0.320725512155043, -0.352839193267846, -0.237323012931138, -0.244761633998072, -0.298427698452112, -0.109595314066309, -0.388685074426031, -0.255572478676328, -0.192162387145999, 0.135428895555274, 0.108618127651784, 0.0657576969133927, 0.0962999251602571, 0.0832478533258955, 0.0525133777340042, 0.00854365449177666, 0.111723881013848, 0.0318635219093212, 0.0332206617000295, -0.294633074234569, -0.303458398561932, -0.399565829110245, -0.318836300337808, -0.263648169284959, -0.229465924994419, -0.351290353983425, -0.317021079902858, -0.403394941732684, -0.22815253329323, -0.0599395489468721, -0.0164369398856675, -0.0799407076273435, -0.0368827733630735, 0.00548709699686084, -0.0508680440502735, 0.00748008606902389, 0.00195265018932078, -0.106067348362873, -0.00686064311371512, -0.229955090383281, -0.119558386456801, -0.133238569261666, -0.0617952278584694, -0.090903596978902, -0.135419334247566, -0.113398862272342, -0.0963098792960404, -0.156151183227892, -0.139472202952938, -0.192553636861188, -0.208735769873719, -0.15977771061883, -0.136042956149773, -0.215089822348368, -0.114855756994205, -0.173205660816602, -0.125825976551708, -0.135818421236212, -0.163213584394734, -0.108625674371267, -0.0936176235358135, -0.143120653144068, 0.0496604001191231, -0.0388294647883324, 0.0736694986596479, -0.0982987590229448, 0.0462365140056764, 0.0235930081303918, -0.0704415960031174, -0.347167607914381, -0.350515590449581, -0.38363395380775, -0.297661606589107, -0.383700264399154, -0.265049632347183, -0.422936515578803, -0.294246547978875, -0.382775754976343, -0.335575840655945, 0.231732938019588, 0.223932969687315, 0.221459838380956, 0.267026676762807, 0.217982716013617, 0.279630804499376, 0.212632540245798, 0.210946647905696, 0.194830822952303, 0.171540464082242, -0.322598909637405, -0.282254070937227, -0.2901130519884, -0.279911396803573, -0.241980192033547, -0.309671033442228, -0.318642548018989, -0.247695161519256, -0.327443804808938, -0.373556991409129, -0.137350856477329, -0.126718475206881, -0.166968549423331, -0.0256568541887544, -0.127547018964731, -0.0431908096493527, 0.0187780147616977, -0.121877051961995, -0.0844939631834653, -0.13305070564377, -0.0772225806510947, -0.287195935402387, -0.184391804379994, -0.20990240710279, -0.216890405189541, -0.222280834217239, -0.252932317709666, -0.263237741358722, -0.348358005862349, -0.291177814952233, -0.168899415589777, -0.0144161005693411, -0.126067242742033, -0.126922526574031, -0.28619263643632, -0.247844777255032, -0.236566180641232, -0.223348496918001, -0.228656901662867, -0.174335770645307, 0.40556795374786, 0.406575604857191, 0.485053831120868, 0.324199839983334, 0.43005399699332, 0.480959437673636, 0.495595864299348, 0.435639056732861, 0.428322193637613, 0.444962893056965, -0.0180748097102726, -0.0186014852519912, -0.0659121172209803, -0.00890100951759643, 0.0117844161028367, -0.0286318341075317, -0.0572879118223332, -0.0840035480376787, -0.0227130994867481, 0.0819595667490233, -0.285185121094907, -0.285523000763969, -0.111050454139551, -0.344412457024756, -0.235853120759872, -0.206184428004381, -0.259770594947547, -0.173084593539942, -0.188427060502659, -0.222462889546502, -0.386488427646186, -0.303564823697857, -0.327382707220458, -0.347252293911323, -0.287002096721883, -0.25720905631903, -0.281746795837643, -0.226961297371079, -0.386562578100473, -0.215698272632503, 0.266468995861656, 0.377901045216927, 0.450004298625252, 0.389144279527084, 0.336649540616411, 0.111225937240351, 0.0528973815579466, -0.0172656006589272, -0.333507701412037, -0.51582418674279, 0.263345617030681, 0.281296256557225, 0.26778147956474, 0.209125484679823, 0.227731092306558, 0.0119787915130676, -0.0855928587190413, -0.231094017015692, -0.49946750344054, -0.724547231001533, 0.261202365292831, 0.263344185687322, 0.274042281283617, 0.31235720076802, 0.152575420645921, 0.0586346497930655, -0.208118418493266, -0.300176865428757, -0.572011246130937, -0.867014961016824, 0.207182117881199, 0.187504773770661, 0.227859798697281, 0.0876748849031693, -0.074011124490353, -0.0722607424692266, -0.199260002852398, -0.324709183750634, -0.652605030305093, -0.928474061712541, 0.0704665745358081, 0.189763444301467, 0.1797148522205, 0.216438462692384, 0.0885058992169011, 0.0413384176401307, -0.139121526422648, -0.230019880707007, -0.415362214870451, -0.680289378514446, 0.110546077680998, 0.179598820432705, 0.118933698439575, 0.15998987130072, 0.0128737748028846, -0.00809367314814648, -0.0682467824739403, -0.308573721946877, -0.497224174880516, -0.770628012189916, 0.333504988588006, 0.377900798957938, 0.238559533997959, 0.30534219373815, 0.115901522864967, 0.0505815357720683, -0.277809702403096, -0.35421574247303, -0.703535661391251, -0.913417589386279, 0.186906332741775, 0.188313390337573, 0.237968199976895, 0.163473713656986, 0.0489004391474799, -0.0902007052216105, -0.0901537744955909, -0.46283243867024, -0.631591964851435, -0.953825910941725, 0.0606645751711745, 0.0352077944855491, -0.0160602656639724, -0.0977833488771614, -0.227651381144725, -0.2833969735016, -0.533913186752914, -0.665994992110149, -1.01767336061695, -1.28981477144703, 0.462064994411842, 0.510665816526845, 0.483712026522668, 0.39269794153904, 0.3719218950347, 0.198781470145093, 0.0848059835305413, -0.212413230806866, -0.36732505688273, -0.717721374789404, 0.248202558469129, 0.174592480505167, 0.2903792772638, 0.134540577196287, -0.0345387455657045, -0.176754872244655, -0.428235645425204, -0.755267453681908, -1.09425460402225, -1.33635942570234, 0.210495960932679, 0.238226021720394, 0.337495331439032, 0.286851746566663, 0.290385778758796, 0.22064974987134, -0.00769744780515979, -0.19223405637808, -0.352849564090999, -0.539804794988805, 0.269110833569382, 0.335657363854869, 0.323913083932076, 0.321108708259782, 0.324694831272704, 0.045987385073191, -0.127993559817092, -0.407181046133019, -0.628965071756057, -0.832823547234913, 0.301376246265676, 0.340566074193591, 0.333978887719028, 0.295750871893494, 0.287575518904384, 0.137128026212687, 0.00396347332078731, -0.399976653312929, -0.580687222841256, -0.79519831093498, 0.172883819108295, 0.236019569707877, 0.180211750973023, 0.0722314780691529, 0.018848187323944, 0.0480760673101117, -0.225357138214492, -0.327875971942237, -0.61841340231767, -0.910658924388297, 0.551786858431498, 0.440509628438332, 0.499419147781756, 0.484649623588777, 0.385095990799373, 0.309761074894528, 0.0703188266797839, -0.0840258600157386, -0.209765002993513, -0.494870078852413, 0.289695538112184, 0.258647563389726, 0.267517519964582, 0.237550453757236, 0.143049279488365, 0.0962748604945171, -0.121779092328546, -0.224215801412296, -0.483547195456131, -0.701097970783582, 0.169947853803372, 0.135163321183464, 0.143405713514746, 0.131976627466084, 0.03127841723042, 0.034736130820094, -0.197683915573906, -0.339672344387872, -0.59231453786424, -0.808074662091825, 0.225108701975639, 0.124737110346763, 0.272671490832214, 0.134597412905939, 0.115709778227079, -0.0927998046188024, -0.223280347221722, -0.460213323405117, -0.698266377214623, -1.01168776142101, 0.221563571787536, 0.286081314842013, 0.181435561242351, 0.154504495839266, 0.0407279251861428, -0.128703380076844, -0.20165371655486, -0.613796070292907, -0.789802917906603, -1.16236012381024, 0.413745292509049, 0.505676675623728, 0.605019616929995, 0.514876702281914, 0.361579942100342, 0.18891045478885, 0.153318395354983, -0.170406970189879, -0.452632661614314, -0.76482012423774, 0.231378837386646, 0.385963331383348, 0.359317909234013, 0.295873150939231, 0.109614913802584, 0.0618333006417763, -0.0255523956328792, -0.290888684630208, -0.543867087610416, -0.781232902396171, 0.260235057150362, 0.295476242370338, 0.410968929883267, 0.257267191500895, 0.191149248444652, -0.00932945250386682, -0.214599487541895, -0.378452836168728, -0.744652109220584, -0.895457116324495, 0.231196648159138, 0.125442216373414, 0.227869097829213, 0.2058896219746, 0.241799265042443, 0.0146368426529291, -0.218863309918558, -0.361779781588124, -0.634757956757975, -0.950184336051146, 0.183184169187167, 0.133646107503462, 0.330998723713294, 0.141556986356277, 0.0502340293365368, -0.186761350515837, -0.252082806793815, -0.517942368088619, -0.857668909211413, -1.1223194425763, 0.226545821751803, 0.346480289680719, 0.270074418096732, 0.289123843622092, 0.188453254897386, 0.0145960109529511, -0.134854179864627, -0.376897977113781, -0.599602752281187, -0.924930316528068, 0.307545100107612, 0.349185516544679, 0.355685597821023, 0.451210798953369, 0.253649308036241, 0.0531416725288277, 0.0146290773380608, -0.244605244297396, -0.397612876100413, -0.742776559056496, 0.537862889782905, 0.489223933188946, 0.456007952504416, 0.535622980843722, 0.282424985579962, 0.246511533060362, 0.011481188218655, -0.0845310250469165, -0.366114049102036, -0.693105502801466, 0.333856030571304, 0.42933425019515, 0.324302772340761, 0.291837175782293, 0.264735352266761, 0.155991116308172, -0.132643486761609, -0.242157627395962, -0.554240230080893, -0.812134380694345, 0.436412799207443, 0.495860358201205, 0.471593302282124, 0.430591021253674, 0.449240329623025, 0.429857765333607, 0.27346078784271, 0.0861659472518042, -0.13165701845399, -0.32352430119822, 0.172714559709752, 0.22008014776982, 0.157278043227679, 0.0321163886091458, 0.0724736138507537, 0.0605100514692031, -0.158746495505547, -0.36542253592095, -0.659083687115813, -0.850833657444495, 0.307981462551521, 0.378551535677396, 0.434230700384067, 0.399658999806409, 0.41648261513816, 0.177642612009352, 0.0441290138524707, -0.1125902505465, -0.27523111912317, -0.420639980870321, 0.340481832802855, 0.268360206364559, 0.224122581856058, 0.262538505525114, 0.111503135472786, -0.0675605371405797, -0.23076170426784, -0.391264907434388, -0.717169171249014, -1.00252682758494, 0.142295420804649, 0.115622388103896, 0.0413512369060343, 0.102036408857489, 0.0851701303097822, -0.10319826294973, -0.219389875976912, -0.477564972506194, -0.733133862769438, -0.942001347571981, 0.282853846187235, 0.405686290525019, 0.433177418820722, 0.347447918172518, 0.315966655351127, 0.260404585885441, 0.151280948844592, -0.117112724574044, -0.33650274810985, -0.582743644931534, 0.29462473691967, 0.231021944609973, 0.231247879466856, 0.206533110784872, 0.0704547745210256, -0.00943785600414461, -0.171147214617231, -0.350686282292399, -0.561642906922518, -0.798708657334016, 0.437024182291329, 0.321378678545883, 0.409153039815225, 0.283739598588795, 0.11658391767798, 0.0110164064259715, -0.23813891108453, -0.52149074513963, -0.830963941940777, -1.08508396679105, 0.0628339516425813, 0.20911309427841, 0.164461371313967, 0.0842645546018796, 0.121348946346841, -0.0107365429936162, -0.259608799730328, -0.365961815494281, -0.564023840119063, -0.825494800696682, 0.221697893741858, 0.236406037130237, 0.164038138534692, 0.0872426655881532, -0.0618476549127703, -0.27256195506222, -0.412163454407053, -0.622232652588955, -0.837686210416519, -1.2960841979204, 0.157976651895531, 0.0688158620314319, 0.1138300805931, 0.156640833112186, -0.0212589502637342, -0.120346062687943, -0.295172231425329, -0.595286533829741, -0.805796629763973, -1.09321836017194, 0.216705145833373, 0.307801844126149, 0.290533659549255, 0.251782562132415, 0.282526262316052, 0.233047767866322, 0.0401272633904122, -0.144231590239376, -0.366808205881216, -0.5322080151186, 0.345201064438526, 0.409905028048018, 0.380818195027798, 0.333829668294092, 0.276079582592505, 0.155722963775251, -0.0654976004617074, -0.0854563385156359, -0.477378837550627, -0.639056167469296, 0.115028981086162, 0.192194644144142, 0.221997019192589, 0.178609148564787, 0.176530745569943, 0.0396108790966396, -0.0475535664201691, -0.131501236688326, -0.411973791744237, -0.789420487402974, 0.35692314639814, 0.379387352969934, 0.47588453198333, 0.367623898941387, 0.253540842914607, 0.087931563735811, -0.00152033087177717, -0.138782401043264, -0.476909796916953, -0.743906276209236, 0.178417973014158, 0.208384810224088, 0.141917309049178, 0.0863611573386252, 0.0119810394318903, -0.0437866468568208, -0.260342728948564, -0.454023621085366, -0.628574865893544, -0.949371601301065, 0.206053779577144, 0.246483609115019, 0.120580885141444, 0.067360360918006, -0.0224265135795728, -0.15071887157391, -0.380896659763286, -0.566245775187039, -0.874305454581388, -1.1219866260973, 0.34675589386081, 0.453698673030166, 0.566588486956585, 0.471987745810881, 0.407009844596593, 0.384327477113829, 0.0789713438885717, 0.0679892960541305, -0.132114688360968, -0.270080167154315, 0.120371299290361, 0.145106889439459, 0.296786131341566, 0.158667016541857, 0.0582957371714476, -0.0370290911059927, -0.245730322451961, -0.484147065727367, -0.624788257799404, -0.938132183436759, 0.286251591547957, 0.245321960120666, 0.251731922555033, 0.256530171280015, 0.0862218311842417, 0.0206662070626336, -0.119823086422496, -0.351693078681328, -0.722126993204504, -0.94548036951833, 0.212388164012886, 0.312170139934307, 0.301606344690148, 0.193041321648237, 0.178055985283522, 0.148338335530448, -0.00378580674322981, -0.140999895361903, -0.503079884571913, -0.748600236180566), Time = c(0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2, 0, 0.222222222222222, 0.444444444444444, 0.666666666666667, 0.888888888888889, 1.11111111111111, 1.33333333333333, 1.55555555555556, 1.77777777777778, 2), Id = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 53L, 53L, 53L, 53L, 53L, 53L, 53L, 53L, 53L, 53L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 56L, 56L, 56L, 56L, 56L, 56L, 56L, 56L, 56L, 56L, 57L, 57L, 57L, 57L, 57L, 57L, 57L, 57L, 57L, 57L, 58L, 58L, 58L, 58L, 58L, 58L, 58L, 58L, 58L, 58L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 60L, 60L, 60L, 60L, 60L, 60L, 60L, 60L, 60L, 60L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 66L, 66L, 66L, 66L, 66L, 66L, 66L, 66L, 66L, 66L, 67L, 67L, 67L, 67L, 67L, 67L, 67L, 67L, 67L, 67L, 68L, 68L, 68L, 68L, 68L, 68L, 68L, 68L, 68L, 68L, 69L, 69L, 69L, 69L, 69L, 69L, 69L, 69L, 69L, 69L, 70L, 70L, 70L, 70L, 70L, 70L, 70L, 70L, 70L, 70L, 71L, 71L, 71L, 71L, 71L, 71L, 71L, 71L, 71L, 71L, 72L, 72L, 72L, 72L, 72L, 72L, 72L, 72L, 72L, 72L, 73L, 73L, 73L, 73L, 73L, 73L, 73L, 73L, 73L, 73L, 74L, 74L, 74L, 74L, 74L, 74L, 74L, 74L, 74L, 74L, 75L, 75L, 75L, 75L, 75L, 75L, 75L, 75L, 75L, 75L, 76L, 76L, 76L, 76L, 76L, 76L, 76L, 76L, 76L, 76L, 77L, 77L, 77L, 77L, 77L, 77L, 77L, 77L, 77L, 77L, 78L, 78L, 78L, 78L, 78L, 78L, 78L, 78L, 78L, 78L, 79L, 79L, 79L, 79L, 79L, 79L, 79L, 79L, 79L, 79L, 80L, 80L, 80L, 80L, 80L, 80L, 80L, 80L, 80L, 80L, 81L, 81L, 81L, 81L, 81L, 81L, 81L, 81L, 81L, 81L, 82L, 82L, 82L, 82L, 82L, 82L, 82L, 82L, 82L, 82L, 83L, 83L, 83L, 83L, 83L, 83L, 83L, 83L, 83L, 83L, 84L, 84L, 84L, 84L, 84L, 84L, 84L, 84L, 84L, 84L, 85L, 85L, 85L, 85L, 85L, 85L, 85L, 85L, 85L, 85L, 86L, 86L, 86L, 86L, 86L, 86L, 86L, 86L, 86L, 86L, 87L, 87L, 87L, 87L, 87L, 87L, 87L, 87L, 87L, 87L, 88L, 88L, 88L, 88L, 88L, 88L, 88L, 88L, 88L, 88L, 89L, 89L, 89L, 89L, 89L, 89L, 89L, 89L, 89L, 89L, 90L, 90L, 90L, 90L, 90L, 90L, 90L, 90L, 90L, 90L, 91L, 91L, 91L, 91L, 91L, 91L, 91L, 91L, 91L, 91L, 92L, 92L, 92L, 92L, 92L, 92L, 92L, 92L, 92L, 92L, 93L, 93L, 93L, 93L, 93L, 93L, 93L, 93L, 93L, 93L, 94L, 94L, 94L, 94L, 94L, 94L, 94L, 94L, 94L, 94L, 95L, 95L, 95L, 95L, 95L, 95L, 95L, 95L, 95L, 95L, 96L, 96L, 96L, 96L, 96L, 96L, 96L, 96L, 96L, 96L, 97L, 97L, 97L, 97L, 97L, 97L, 97L, 97L, 97L, 97L, 98L, 98L, 98L, 98L, 98L, 98L, 98L, 98L, 98L, 98L, 99L, 99L, 99L, 99L, 99L, 99L, 99L, 99L, 99L, 99L, 100L, 100L, 100L, 100L, 100L, 100L, 100L, 100L, 100L, 100L, 101L, 101L, 101L, 101L, 101L, 101L, 101L, 101L, 101L, 101L, 102L, 102L, 102L, 102L, 102L, 102L, 102L, 102L, 102L, 102L, 103L, 103L, 103L, 103L, 103L, 103L, 103L, 103L, 103L, 103L, 104L, 104L, 104L, 104L, 104L, 104L, 104L, 104L, 104L, 104L, 105L, 105L, 105L, 105L, 105L, 105L, 105L, 105L, 105L, 105L, 106L, 106L, 106L, 106L, 106L, 106L, 106L, 106L, 106L, 106L, 107L, 107L, 107L, 107L, 107L, 107L, 107L, 107L, 107L, 107L, 108L, 108L, 108L, 108L, 108L, 108L, 108L, 108L, 108L, 108L, 109L, 109L, 109L, 109L, 109L, 109L, 109L, 109L, 109L, 109L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 111L, 111L, 111L, 111L, 111L, 111L, 111L, 111L, 111L, 111L, 112L, 112L, 112L, 112L, 112L, 112L, 112L, 112L, 112L, 112L, 113L, 113L, 113L, 113L, 113L, 113L, 113L, 113L, 113L, 113L, 114L, 114L, 114L, 114L, 114L, 114L, 114L, 114L, 114L, 114L, 115L, 115L, 115L, 115L, 115L, 115L, 115L, 115L, 115L, 115L, 116L, 116L, 116L, 116L, 116L, 116L, 116L, 116L, 116L, 116L, 117L, 117L, 117L, 117L, 117L, 117L, 117L, 117L, 117L, 117L, 118L, 118L, 118L, 118L, 118L, 118L, 118L, 118L, 118L, 118L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 120L, 120L, 120L, 120L, 120L, 120L, 120L, 120L, 120L, 120L, 121L, 121L, 121L, 121L, 121L, 121L, 121L, 121L, 121L, 121L, 122L, 122L, 122L, 122L, 122L, 122L, 122L, 122L, 122L, 122L, 123L, 123L, 123L, 123L, 123L, 123L, 123L, 123L, 123L, 123L, 124L, 124L, 124L, 124L, 124L, 124L, 124L, 124L, 124L, 124L, 125L, 125L, 125L, 125L, 125L, 125L, 125L, 125L, 125L, 125L, 126L, 126L, 126L, 126L, 126L, 126L, 126L, 126L, 126L, 126L, 127L, 127L, 127L, 127L, 127L, 127L, 127L, 127L, 127L, 127L, 128L, 128L, 128L, 128L, 128L, 128L, 128L, 128L, 128L, 128L, 129L, 129L, 129L, 129L, 129L, 129L, 129L, 129L, 129L, 129L, 130L, 130L, 130L, 130L, 130L, 130L, 130L, 130L, 130L, 130L, 131L, 131L, 131L, 131L, 131L, 131L, 131L, 131L, 131L, 131L, 132L, 132L, 132L, 132L, 132L, 132L, 132L, 132L, 132L, 132L, 133L, 133L, 133L, 133L, 133L, 133L, 133L, 133L, 133L, 133L, 134L, 134L, 134L, 134L, 134L, 134L, 134L, 134L, 134L, 134L, 135L, 135L, 135L, 135L, 135L, 135L, 135L, 135L, 135L, 135L, 136L, 136L, 136L, 136L, 136L, 136L, 136L, 136L, 136L, 136L, 137L, 137L, 137L, 137L, 137L, 137L, 137L, 137L, 137L, 137L, 138L, 138L, 138L, 138L, 138L, 138L, 138L, 138L, 138L, 138L, 139L, 139L, 139L, 139L, 139L, 139L, 139L, 139L, 139L, 139L, 140L, 140L, 140L, 140L, 140L, 140L, 140L, 140L, 140L, 140L, 141L, 141L, 141L, 141L, 141L, 141L, 141L, 141L, 141L, 141L, 142L, 142L, 142L, 142L, 142L, 142L, 142L, 142L, 142L, 142L, 143L, 143L, 143L, 143L, 143L, 143L, 143L, 143L, 143L, 143L, 144L, 144L, 144L, 144L, 144L, 144L, 144L, 144L, 144L, 144L, 145L, 145L, 145L, 145L, 145L, 145L, 145L, 145L, 145L, 145L, 146L, 146L, 146L, 146L, 146L, 146L, 146L, 146L, 146L, 146L, 147L, 147L, 147L, 147L, 147L, 147L, 147L, 147L, 147L, 147L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 149L, 149L, 149L, 149L, 149L, 149L, 149L, 149L, 149L, 149L, 150L, 150L, 150L, 150L, 150L, 150L, 150L, 150L, 150L, 150L, 151L, 151L, 151L, 151L, 151L, 151L, 151L, 151L, 151L, 151L, 152L, 152L, 152L, 152L, 152L, 152L, 152L, 152L, 152L, 152L, 153L, 153L, 153L, 153L, 153L, 153L, 153L, 153L, 153L, 153L, 154L, 154L, 154L, 154L, 154L, 154L, 154L, 154L, 154L, 154L, 155L, 155L, 155L, 155L, 155L, 155L, 155L, 155L, 155L, 155L, 156L, 156L, 156L, 156L, 156L, 156L, 156L, 156L, 156L, 156L, 157L, 157L, 157L, 157L, 157L, 157L, 157L, 157L, 157L, 157L, 158L, 158L, 158L, 158L, 158L, 158L, 158L, 158L, 158L, 158L, 159L, 159L, 159L, 159L, 159L, 159L, 159L, 159L, 159L, 159L, 160L, 160L, 160L, 160L, 160L, 160L, 160L, 160L, 160L, 160L, 161L, 161L, 161L, 161L, 161L, 161L, 161L, 161L, 161L, 161L, 162L, 162L, 162L, 162L, 162L, 162L, 162L, 162L, 162L, 162L, 163L, 163L, 163L, 163L, 163L, 163L, 163L, 163L, 163L, 163L, 164L, 164L, 164L, 164L, 164L, 164L, 164L, 164L, 164L, 164L, 165L, 165L, 165L, 165L, 165L, 165L, 165L, 165L, 165L, 165L, 166L, 166L, 166L, 166L, 166L, 166L, 166L, 166L, 166L, 166L, 167L, 167L, 167L, 167L, 167L, 167L, 167L, 167L, 167L, 167L, 168L, 168L, 168L, 168L, 168L, 168L, 168L, 168L, 168L, 168L, 169L, 169L, 169L, 169L, 169L, 169L, 169L, 169L, 169L, 169L, 170L, 170L, 170L, 170L, 170L, 170L, 170L, 170L, 170L, 170L, 171L, 171L, 171L, 171L, 171L, 171L, 171L, 171L, 171L, 171L, 172L, 172L, 172L, 172L, 172L, 172L, 172L, 172L, 172L, 172L, 173L, 173L, 173L, 173L, 173L, 173L, 173L, 173L, 173L, 173L, 174L, 174L, 174L, 174L, 174L, 174L, 174L, 174L, 174L, 174L, 175L, 175L, 175L, 175L, 175L, 175L, 175L, 175L, 175L, 175L, 176L, 176L, 176L, 176L, 176L, 176L, 176L, 176L, 176L, 176L, 177L, 177L, 177L, 177L, 177L, 177L, 177L, 177L, 177L, 177L, 178L, 178L, 178L, 178L, 178L, 178L, 178L, 178L, 178L, 178L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 180L, 180L, 180L, 180L, 180L, 180L, 180L, 180L, 180L, 180L, 181L, 181L, 181L, 181L, 181L, 181L, 181L, 181L, 181L, 181L, 182L, 182L, 182L, 182L, 182L, 182L, 182L, 182L, 182L, 182L, 183L, 183L, 183L, 183L, 183L, 183L, 183L, 183L, 183L, 183L, 184L, 184L, 184L, 184L, 184L, 184L, 184L, 184L, 184L, 184L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 186L, 186L, 186L, 186L, 186L, 186L, 186L, 186L, 186L, 186L, 187L, 187L, 187L, 187L, 187L, 187L, 187L, 187L, 187L, 187L, 188L, 188L, 188L, 188L, 188L, 188L, 188L, 188L, 188L, 188L, 189L, 189L, 189L, 189L, 189L, 189L, 189L, 189L, 189L, 189L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 191L, 191L, 191L, 191L, 191L, 191L, 191L, 191L, 191L, 191L, 192L, 192L, 192L, 192L, 192L, 192L, 192L, 192L, 192L, 192L, 193L, 193L, 193L, 193L, 193L, 193L, 193L, 193L, 193L, 193L, 194L, 194L, 194L, 194L, 194L, 194L, 194L, 194L, 194L, 194L, 195L, 195L, 195L, 195L, 195L, 195L, 195L, 195L, 195L, 195L, 196L, 196L, 196L, 196L, 196L, 196L, 196L, 196L, 196L, 196L, 197L, 197L, 197L, 197L, 197L, 197L, 197L, 197L, 197L, 197L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 199L, 199L, 199L, 199L, 199L, 199L, 199L, 199L, 199L, 199L, 200L, 200L, 200L, 200L, 200L, 200L, 200L, 200L, 200L, 200L)), X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), reTrms = list(Zt = new("dgCMatrix", i = c(0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 2L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 4L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 6L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 8L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 10L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 12L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 14L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 16L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 18L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 20L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 22L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 24L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 26L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 28L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 30L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 32L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 34L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 36L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 38L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 40L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 42L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 44L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 46L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 48L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 50L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 52L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 54L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 56L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 58L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 60L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 62L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 64L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 66L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 68L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 70L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 72L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 74L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 76L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 78L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 80L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 82L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 84L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 86L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 88L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 90L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 92L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 94L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 96L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 98L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 100L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 102L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 104L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 106L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 108L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 110L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 112L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 114L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 116L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 118L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 120L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 122L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 124L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 126L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 128L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 130L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 132L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 134L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 136L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 138L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 140L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 142L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 144L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 146L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 148L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 150L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 152L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 154L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 156L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 158L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 160L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 162L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 164L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 166L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 168L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 170L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 172L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 174L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 176L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 178L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 180L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 182L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 184L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 186L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 188L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 190L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 192L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 194L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 196L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 198L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 200L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 202L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 204L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 206L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 208L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 210L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 212L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 214L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 216L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 218L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 220L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 222L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 224L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 226L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 228L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 230L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 232L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 234L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 236L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 238L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 240L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 242L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 244L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 246L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 248L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 250L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 252L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 254L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 256L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 258L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 260L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 262L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 264L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 266L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 268L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 270L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 272L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 274L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 276L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 278L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 280L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 282L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 284L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 286L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 288L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 290L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 292L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 294L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 296L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 298L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 300L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 302L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 304L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 306L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 308L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 310L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 312L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 314L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 316L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 318L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 320L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 322L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 324L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 326L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 328L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 330L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 332L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 334L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 336L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 338L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 340L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 342L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 344L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 346L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 348L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 350L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 352L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 354L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 356L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 358L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 360L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 362L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 364L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 366L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 368L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 370L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 372L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 374L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 376L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 378L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 380L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 382L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 384L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 386L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 388L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 390L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 392L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 394L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 396L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 398L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L), p = c(0L, 1L, 3L, 5L, 7L, 9L, 11L, 13L, 15L, 17L, 19L, 20L, 22L, 24L, 26L, 28L, 30L, 32L, 34L, 36L, 38L, 39L, 41L, 43L, 45L, 47L, 49L, 51L, 53L, 55L, 57L, 58L, 60L, 62L, 64L, 66L, 68L, 70L, 72L, 74L, 76L, 77L, 79L, 81L, 83L, 85L, 87L, 89L, 91L, 93L, 95L, 96L, 98L, 100L, 102L, 104L, 106L, 108L, 110L, 112L, 114L, 115L, 117L, 119L, 121L, 123L, 125L, 127L, 129L, 131L, 133L, 134L, 136L, 138L, 140L, 142L, 144L, 146L, 148L, 150L, 152L, 153L, 155L, 157L, 159L, 161L, 163L, 165L, 167L, 169L, 171L, 172L, 174L, 176L, 178L, 180L, 182L, 184L, 186L, 188L, 190L, 191L, 193L, 195L, 197L, 199L, 201L, 203L, 205L, 207L, 209L, 210L, 212L, 214L, 216L, 218L, 220L, 222L, 224L, 226L, 228L, 229L, 231L, 233L, 235L, 237L, 239L, 241L, 243L, 245L, 247L, 248L, 250L, 252L, 254L, 256L, 258L, 260L, 262L, 264L, 266L, 267L, 269L, 271L, 273L, 275L, 277L, 279L, 281L, 283L, 285L, 286L, 288L, 290L, 292L, 294L, 296L, 298L, 300L, 302L, 304L, 305L, 307L, 309L, 311L, 313L, 315L, 317L, 319L, 321L, 323L, 324L, 326L, 328L, 330L, 332L, 334L, 336L, 338L, 340L, 342L, 343L, 345L, 347L, 349L, 351L, 353L, 355L, 357L, 359L, 361L, 362L, 364L, 366L, 368L, 370L, 372L, 374L, 376L, 378L, 380L, 381L, 383L, 385L, 387L, 389L, 391L, 393L, 395L, 397L, 399L, 400L, 402L, 404L, 406L, 408L, 410L, 412L, 414L, 416L, 418L, 419L, 421L, 423L, 425L, 427L, 429L, 431L, 433L, 435L, 437L, 438L, 440L, 442L, 444L, 446L, 448L, 450L, 452L, 454L, 456L, 457L, 459L, 461L, 463L, 465L, 467L, 469L, 471L, 473L, 475L, 476L, 478L, 480L, 482L, 484L, 486L, 488L, 490L, 492L, 494L, 495L, 497L, 499L, 501L, 503L, 505L, 507L, 509L, 511L, 513L, 514L, 516L, 518L, 520L, 522L, 524L, 526L, 528L, 530L, 532L, 533L, 535L, 537L, 539L, 541L, 543L, 545L, 547L, 549L, 551L, 552L, 554L, 556L, 558L, 560L, 562L, 564L, 566L, 568L, 570L, 571L, 573L, 575L, 577L, 579L, 581L, 583L, 585L, 587L, 589L, 590L, 592L, 594L, 596L, 598L, 600L, 602L, 604L, 606L, 608L, 609L, 611L, 613L, 615L, 617L, 619L, 621L, 623L, 625L, 627L, 628L, 630L, 632L, 634L, 636L, 638L, 640L, 642L, 644L, 646L, 647L, 649L, 651L, 653L, 655L, 657L, 659L, 661L, 663L, 665L, 666L, 668L, 670L, 672L, 674L, 676L, 678L, 680L, 682L, 684L, 685L, 687L, 689L, 691L, 693L, 695L, 697L, 699L, 701L, 703L, 704L, 706L, 708L, 710L, 712L, 714L, 716L, 718L, 720L, 722L, 723L, 725L, 727L, 729L, 731L, 733L, 735L, 737L, 739L, 741L, 742L, 744L, 746L, 748L, 750L, 752L, 754L, 756L, 758L, 760L, 761L, 763L, 765L, 767L, 769L, 771L, 773L, 775L, 777L, 779L, 780L, 782L, 784L, 786L, 788L, 790L, 792L, 794L, 796L, 798L, 799L, 801L, 803L, 805L, 807L, 809L, 811L, 813L, 815L, 817L, 818L, 820L, 822L, 824L, 826L, 828L, 830L, 832L, 834L, 836L, 837L, 839L, 841L, 843L, 845L, 847L, 849L, 851L, 853L, 855L, 856L, 858L, 860L, 862L, 864L, 866L, 868L, 870L, 872L, 874L, 875L, 877L, 879L, 881L, 883L, 885L, 887L, 889L, 891L, 893L, 894L, 896L, 898L, 900L, 902L, 904L, 906L, 908L, 910L, 912L, 913L, 915L, 917L, 919L, 921L, 923L, 925L, 927L, 929L, 931L, 932L, 934L, 936L, 938L, 940L, 942L, 944L, 946L, 948L, 950L, 951L, 953L, 955L, 957L, 959L, 961L, 963L, 965L, 967L, 969L, 970L, 972L, 974L, 976L, 978L, 980L, 982L, 984L, 986L, 988L, 989L, 991L, 993L, 995L, 997L, 999L, 1001L, 1003L, 1005L, 1007L, 1008L, 1010L, 1012L, 1014L, 1016L, 1018L, 1020L, 1022L, 1024L, 1026L, 1027L, 1029L, 1031L, 1033L, 1035L, 1037L, 1039L, 1041L, 1043L, 1045L, 1046L, 1048L, 1050L, 1052L, 1054L, 1056L, 1058L, 1060L, 1062L, 1064L, 1065L, 1067L, 1069L, 1071L, 1073L, 1075L, 1077L, 1079L, 1081L, 1083L, 1084L, 1086L, 1088L, 1090L, 1092L, 1094L, 1096L, 1098L, 1100L, 1102L, 1103L, 1105L, 1107L, 1109L, 1111L, 1113L, 1115L, 1117L, 1119L, 1121L, 1122L, 1124L, 1126L, 1128L, 1130L, 1132L, 1134L, 1136L, 1138L, 1140L, 1141L, 1143L, 1145L, 1147L, 1149L, 1151L, 1153L, 1155L, 1157L, 1159L, 1160L, 1162L, 1164L, 1166L, 1168L, 1170L, 1172L, 1174L, 1176L, 1178L, 1179L, 1181L, 1183L, 1185L, 1187L, 1189L, 1191L, 1193L, 1195L, 1197L, 1198L, 1200L, 1202L, 1204L, 1206L, 1208L, 1210L, 1212L, 1214L, 1216L, 1217L, 1219L, 1221L, 1223L, 1225L, 1227L, 1229L, 1231L, 1233L, 1235L, 1236L, 1238L, 1240L, 1242L, 1244L, 1246L, 1248L, 1250L, 1252L, 1254L, 1255L, 1257L, 1259L, 1261L, 1263L, 1265L, 1267L, 1269L, 1271L, 1273L, 1274L, 1276L, 1278L, 1280L, 1282L, 1284L, 1286L, 1288L, 1290L, 1292L, 1293L, 1295L, 1297L, 1299L, 1301L, 1303L, 1305L, 1307L, 1309L, 1311L, 1312L, 1314L, 1316L, 1318L, 1320L, 1322L, 1324L, 1326L, 1328L, 1330L, 1331L, 1333L, 1335L, 1337L, 1339L, 1341L, 1343L, 1345L, 1347L, 1349L, 1350L, 1352L, 1354L, 1356L, 1358L, 1360L, 1362L, 1364L, 1366L, 1368L, 1369L, 1371L, 1373L, 1375L, 1377L, 1379L, 1381L, 1383L, 1385L, 1387L, 1388L, 1390L, 1392L, 1394L, 1396L, 1398L, 1400L, 1402L, 1404L, 1406L, 1407L, 1409L, 1411L, 1413L, 1415L, 1417L, 1419L, 1421L, 1423L, 1425L, 1426L, 1428L, 1430L, 1432L, 1434L, 1436L, 1438L, 1440L, 1442L, 1444L, 1445L, 1447L, 1449L, 1451L, 1453L, 1455L, 1457L, 1459L, 1461L, 1463L, 1464L, 1466L, 1468L, 1470L, 1472L, 1474L, 1476L, 1478L, 1480L, 1482L, 1483L, 1485L, 1487L, 1489L, 1491L, 1493L, 1495L, 1497L, 1499L, 1501L, 1502L, 1504L, 1506L, 1508L, 1510L, 1512L, 1514L, 1516L, 1518L, 1520L, 1521L, 1523L, 1525L, 1527L, 1529L, 1531L, 1533L, 1535L, 1537L, 1539L, 1540L, 1542L, 1544L, 1546L, 1548L, 1550L, 1552L, 1554L, 1556L, 1558L, 1559L, 1561L, 1563L, 1565L, 1567L, 1569L, 1571L, 1573L, 1575L, 1577L, 1578L, 1580L, 1582L, 1584L, 1586L, 1588L, 1590L, 1592L, 1594L, 1596L, 1597L, 1599L, 1601L, 1603L, 1605L, 1607L, 1609L, 1611L, 1613L, 1615L, 1616L, 1618L, 1620L, 1622L, 1624L, 1626L, 1628L, 1630L, 1632L, 1634L, 1635L, 1637L, 1639L, 1641L, 1643L, 1645L, 1647L, 1649L, 1651L, 1653L, 1654L, 1656L, 1658L, 1660L, 1662L, 1664L, 1666L, 1668L, 1670L, 1672L, 1673L, 1675L, 1677L, 1679L, 1681L, 1683L, 1685L, 1687L, 1689L, 1691L, 1692L, 1694L, 1696L, 1698L, 1700L, 1702L, 1704L, 1706L, 1708L, 1710L, 1711L, 1713L, 1715L, 1717L, 1719L, 1721L, 1723L, 1725L, 1727L, 1729L, 1730L, 1732L, 1734L, 1736L, 1738L, 1740L, 1742L, 1744L, 1746L, 1748L, 1749L, 1751L, 1753L, 1755L, 1757L, 1759L, 1761L, 1763L, 1765L, 1767L, 1768L, 1770L, 1772L, 1774L, 1776L, 1778L, 1780L, 1782L, 1784L, 1786L, 1787L, 1789L, 1791L, 1793L, 1795L, 1797L, 1799L, 1801L, 1803L, 1805L, 1806L, 1808L, 1810L, 1812L, 1814L, 1816L, 1818L, 1820L, 1822L, 1824L, 1825L, 1827L, 1829L, 1831L, 1833L, 1835L, 1837L, 1839L, 1841L, 1843L, 1844L, 1846L, 1848L, 1850L, 1852L, 1854L, 1856L, 1858L, 1860L, 1862L, 1863L, 1865L, 1867L, 1869L, 1871L, 1873L, 1875L, 1877L, 1879L, 1881L, 1882L, 1884L, 1886L, 1888L, 1890L, 1892L, 1894L, 1896L, 1898L, 1900L, 1901L, 1903L, 1905L, 1907L, 1909L, 1911L, 1913L, 1915L, 1917L, 1919L, 1920L, 1922L, 1924L, 1926L, 1928L, 1930L, 1932L, 1934L, 1936L, 1938L, 1939L, 1941L, 1943L, 1945L, 1947L, 1949L, 1951L, 1953L, 1955L, 1957L, 1958L, 1960L, 1962L, 1964L, 1966L, 1968L, 1970L, 1972L, 1974L, 1976L, 1977L, 1979L, 1981L, 1983L, 1985L, 1987L, 1989L, 1991L, 1993L, 1995L, 1996L, 1998L, 2000L, 2002L, 2004L, 2006L, 2008L, 2010L, 2012L, 2014L, 2015L, 2017L, 2019L, 2021L, 2023L, 2025L, 2027L, 2029L, 2031L, 2033L, 2034L, 2036L, 2038L, 2040L, 2042L, 2044L, 2046L, 2048L, 2050L, 2052L, 2053L, 2055L, 2057L, 2059L, 2061L, 2063L, 2065L, 2067L, 2069L, 2071L, 2072L, 2074L, 2076L, 2078L, 2080L, 2082L, 2084L, 2086L, 2088L, 2090L, 2091L, 2093L, 2095L, 2097L, 2099L, 2101L, 2103L, 2105L, 2107L, 2109L, 2110L, 2112L, 2114L, 2116L, 2118L, 2120L, 2122L, 2124L, 2126L, 2128L, 2129L, 2131L, 2133L, 2135L, 2137L, 2139L, 2141L, 2143L, 2145L, 2147L, 2148L, 2150L, 2152L, 2154L, 2156L, 2158L, 2160L, 2162L, 2164L, 2166L, 2167L, 2169L, 2171L, 2173L, 2175L, 2177L, 2179L, 2181L, 2183L, 2185L, 2186L, 2188L, 2190L, 2192L, 2194L, 2196L, 2198L, 2200L, 2202L, 2204L, 2205L, 2207L, 2209L, 2211L, 2213L, 2215L, 2217L, 2219L, 2221L, 2223L, 2224L, 2226L, 2228L, 2230L, 2232L, 2234L, 2236L, 2238L, 2240L, 2242L, 2243L, 2245L, 2247L, 2249L, 2251L, 2253L, 2255L, 2257L, 2259L, 2261L, 2262L, 2264L, 2266L, 2268L, 2270L, 2272L, 2274L, 2276L, 2278L, 2280L, 2281L, 2283L, 2285L, 2287L, 2289L, 2291L, 2293L, 2295L, 2297L, 2299L, 2300L, 2302L, 2304L, 2306L, 2308L, 2310L, 2312L, 2314L, 2316L, 2318L, 2319L, 2321L, 2323L, 2325L, 2327L, 2329L, 2331L, 2333L, 2335L, 2337L, 2338L, 2340L, 2342L, 2344L, 2346L, 2348L, 2350L, 2352L, 2354L, 2356L, 2357L, 2359L, 2361L, 2363L, 2365L, 2367L, 2369L, 2371L, 2373L, 2375L, 2376L, 2378L, 2380L, 2382L, 2384L, 2386L, 2388L, 2390L, 2392L, 2394L, 2395L, 2397L, 2399L, 2401L, 2403L, 2405L, 2407L, 2409L, 2411L, 2413L, 2414L, 2416L, 2418L, 2420L, 2422L, 2424L, 2426L, 2428L, 2430L, 2432L, 2433L, 2435L, 2437L, 2439L, 2441L, 2443L, 2445L, 2447L, 2449L, 2451L, 2452L, 2454L, 2456L, 2458L, 2460L, 2462L, 2464L, 2466L, 2468L, 2470L, 2471L, 2473L, 2475L, 2477L, 2479L, 2481L, 2483L, 2485L, 2487L, 2489L, 2490L, 2492L, 2494L, 2496L, 2498L, 2500L, 2502L, 2504L, 2506L, 2508L, 2509L, 2511L, 2513L, 2515L, 2517L, 2519L, 2521L, 2523L, 2525L, 2527L, 2528L, 2530L, 2532L, 2534L, 2536L, 2538L, 2540L, 2542L, 2544L, 2546L, 2547L, 2549L, 2551L, 2553L, 2555L, 2557L, 2559L, 2561L, 2563L, 2565L, 2566L, 2568L, 2570L, 2572L, 2574L, 2576L, 2578L, 2580L, 2582L, 2584L, 2585L, 2587L, 2589L, 2591L, 2593L, 2595L, 2597L, 2599L, 2601L, 2603L, 2604L, 2606L, 2608L, 2610L, 2612L, 2614L, 2616L, 2618L, 2620L, 2622L, 2623L, 2625L, 2627L, 2629L, 2631L, 2633L, 2635L, 2637L, 2639L, 2641L, 2642L, 2644L, 2646L, 2648L, 2650L, 2652L, 2654L, 2656L, 2658L, 2660L, 2661L, 2663L, 2665L, 2667L, 2669L, 2671L, 2673L, 2675L, 2677L, 2679L, 2680L, 2682L, 2684L, 2686L, 2688L, 2690L, 2692L, 2694L, 2696L, 2698L, 2699L, 2701L, 2703L, 2705L, 2707L, 2709L, 2711L, 2713L, 2715L, 2717L, 2718L, 2720L, 2722L, 2724L, 2726L, 2728L, 2730L, 2732L, 2734L, 2736L, 2737L, 2739L, 2741L, 2743L, 2745L, 2747L, 2749L, 2751L, 2753L, 2755L, 2756L, 2758L, 2760L, 2762L, 2764L, 2766L, 2768L, 2770L, 2772L, 2774L, 2775L, 2777L, 2779L, 2781L, 2783L, 2785L, 2787L, 2789L, 2791L, 2793L, 2794L, 2796L, 2798L, 2800L, 2802L, 2804L, 2806L, 2808L, 2810L, 2812L, 2813L, 2815L, 2817L, 2819L, 2821L, 2823L, 2825L, 2827L, 2829L, 2831L, 2832L, 2834L, 2836L, 2838L, 2840L, 2842L, 2844L, 2846L, 2848L, 2850L, 2851L, 2853L, 2855L, 2857L, 2859L, 2861L, 2863L, 2865L, 2867L, 2869L, 2870L, 2872L, 2874L, 2876L, 2878L, 2880L, 2882L, 2884L, 2886L, 2888L, 2889L, 2891L, 2893L, 2895L, 2897L, 2899L, 2901L, 2903L, 2905L, 2907L, 2908L, 2910L, 2912L, 2914L, 2916L, 2918L, 2920L, 2922L, 2924L, 2926L, 2927L, 2929L, 2931L, 2933L, 2935L, 2937L, 2939L, 2941L, 2943L, 2945L, 2946L, 2948L, 2950L, 2952L, 2954L, 2956L, 2958L, 2960L, 2962L, 2964L, 2965L, 2967L, 2969L, 2971L, 2973L, 2975L, 2977L, 2979L, 2981L, 2983L, 2984L, 2986L, 2988L, 2990L, 2992L, 2994L, 2996L, 2998L, 3000L, 3002L, 3003L, 3005L, 3007L, 3009L, 3011L, 3013L, 3015L, 3017L, 3019L, 3021L, 3022L, 3024L, 3026L, 3028L, 3030L, 3032L, 3034L, 3036L, 3038L, 3040L, 3041L, 3043L, 3045L, 3047L, 3049L, 3051L, 3053L, 3055L, 3057L, 3059L, 3060L, 3062L, 3064L, 3066L, 3068L, 3070L, 3072L, 3074L, 3076L, 3078L, 3079L, 3081L, 3083L, 3085L, 3087L, 3089L, 3091L, 3093L, 3095L, 3097L, 3098L, 3100L, 3102L, 3104L, 3106L, 3108L, 3110L, 3112L, 3114L, 3116L, 3117L, 3119L, 3121L, 3123L, 3125L, 3127L, 3129L, 3131L, 3133L, 3135L, 3136L, 3138L, 3140L, 3142L, 3144L, 3146L, 3148L, 3150L, 3152L, 3154L, 3155L, 3157L, 3159L, 3161L, 3163L, 3165L, 3167L, 3169L, 3171L, 3173L, 3174L, 3176L, 3178L, 3180L, 3182L, 3184L, 3186L, 3188L, 3190L, 3192L, 3193L, 3195L, 3197L, 3199L, 3201L, 3203L, 3205L, 3207L, 3209L, 3211L, 3212L, 3214L, 3216L, 3218L, 3220L, 3222L, 3224L, 3226L, 3228L, 3230L, 3231L, 3233L, 3235L, 3237L, 3239L, 3241L, 3243L, 3245L, 3247L, 3249L, 3250L, 3252L, 3254L, 3256L, 3258L, 3260L, 3262L, 3264L, 3266L, 3268L, 3269L, 3271L, 3273L, 3275L, 3277L, 3279L, 3281L, 3283L, 3285L, 3287L, 3288L, 3290L, 3292L, 3294L, 3296L, 3298L, 3300L, 3302L, 3304L, 3306L, 3307L, 3309L, 3311L, 3313L, 3315L, 3317L, 3319L, 3321L, 3323L, 3325L, 3326L, 3328L, 3330L, 3332L, 3334L, 3336L, 3338L, 3340L, 3342L, 3344L, 3345L, 3347L, 3349L, 3351L, 3353L, 3355L, 3357L, 3359L, 3361L, 3363L, 3364L, 3366L, 3368L, 3370L, 3372L, 3374L, 3376L, 3378L, 3380L, 3382L, 3383L, 3385L, 3387L, 3389L, 3391L, 3393L, 3395L, 3397L, 3399L, 3401L, 3402L, 3404L, 3406L, 3408L, 3410L, 3412L, 3414L, 3416L, 3418L, 3420L, 3421L, 3423L, 3425L, 3427L, 3429L, 3431L, 3433L, 3435L, 3437L, 3439L, 3440L, 3442L, 3444L, 3446L, 3448L, 3450L, 3452L, 3454L, 3456L, 3458L, 3459L, 3461L, 3463L, 3465L, 3467L, 3469L, 3471L, 3473L, 3475L, 3477L, 3478L, 3480L, 3482L, 3484L, 3486L, 3488L, 3490L, 3492L, 3494L, 3496L, 3497L, 3499L, 3501L, 3503L, 3505L, 3507L, 3509L, 3511L, 3513L, 3515L, 3516L, 3518L, 3520L, 3522L, 3524L, 3526L, 3528L, 3530L, 3532L, 3534L, 3535L, 3537L, 3539L, 3541L, 3543L, 3545L, 3547L, 3549L, 3551L, 3553L, 3554L, 3556L, 3558L, 3560L, 3562L, 3564L, 3566L, 3568L, 3570L, 3572L, 3573L, 3575L, 3577L, 3579L, 3581L, 3583L, 3585L, 3587L, 3589L, 3591L, 3592L, 3594L, 3596L, 3598L, 3600L, 3602L, 3604L, 3606L, 3608L, 3610L, 3611L, 3613L, 3615L, 3617L, 3619L, 3621L, 3623L, 3625L, 3627L, 3629L, 3630L, 3632L, 3634L, 3636L, 3638L, 3640L, 3642L, 3644L, 3646L, 3648L, 3649L, 3651L, 3653L, 3655L, 3657L, 3659L, 3661L, 3663L, 3665L, 3667L, 3668L, 3670L, 3672L, 3674L, 3676L, 3678L, 3680L, 3682L, 3684L, 3686L, 3687L, 3689L, 3691L, 3693L, 3695L, 3697L, 3699L, 3701L, 3703L, 3705L, 3706L, 3708L, 3710L, 3712L, 3714L, 3716L, 3718L, 3720L, 3722L, 3724L, 3725L, 3727L, 3729L, 3731L, 3733L, 3735L, 3737L, 3739L, 3741L, 3743L, 3744L, 3746L, 3748L, 3750L, 3752L, 3754L, 3756L, 3758L, 3760L, 3762L, 3763L, 3765L, 3767L, 3769L, 3771L, 3773L, 3775L, 3777L, 3779L, 3781L, 3782L, 3784L, 3786L, 3788L, 3790L, 3792L, 3794L, 3796L, 3798L, 3800L), Dim = c(400L, 2000L), Dimnames = list(c("1", "1", "2", "2", "3", "3", "4", "4", "5", "5", "6", "6", "7", "7", "8", "8", "9", "9", "10", "10", "11", "11", "12", "12", "13", "13", "14", "14", "15", "15", "16", "16", "17", "17", "18", "18", "19", "19", "20", "20", "21", "21", "22", "22", "23", "23", "24", "24", "25", "25", "26", "26", "27", "27", "28", "28", "29", "29", "30", "30", "31", "31", "32", "32", "33", "33", "34", "34", "35", "35", "36", "36", "37", "37", "38", "38", "39", "39", "40", "40", "41", "41", "42", "42", "43", "43", "44", "44", "45", "45", "46", "46", "47", "47", "48", "48", "49", "49", "50", "50", "51", "51", "52", "52", "53", "53", "54", "54", "55", "55", "56", "56", "57", "57", "58", "58", "59", "59", "60", "60", "61", "61", "62", "62", "63", "63", "64", "64", "65", "65", "66", "66", "67", "67", "68", "68", "69", "69", "70", "70", "71", "71", "72", "72", "73", "73", "74", "74", "75", "75", "76", "76", "77", "77", "78", "78", "79", "79", "80", "80", "81", "81", "82", "82", "83", "83", "84", "84", "85", "85", "86", "86", "87", "87", "88", "88", "89", "89", "90", "90", "91", "91", "92", "92", "93", "93", "94", "94", "95", "95", "96", "96", "97", "97", "98", "98", "99", "99", "100", "100", "101", "101", "102", "102", "103", "103", "104", "104", "105", "105", "106", "106", "107", "107", "108", "108", "109", "109", "110", "110", "111", "111", "112", "112", "113", "113", "114", "114", "115", "115", "116", "116", "117", "117", "118", "118", "119", "119", "120", "120", "121", "121", "122", "122", "123", "123", "124", "124", "125", "125", "126", "126", "127", "127", "128", "128", "129", "129", "130", "130", "131", "131", "132", "132", "133", "133", "134", "134", "135", "135", "136", "136", "137", "137", "138", "138", "139", "139", "140", "140", "141", "141", "142", "142", "143", "143", "144", "144", "145", "145", "146", "146", "147", "147", "148", "148", "149", "149", "150", "150", "151", "151", "152", "152", "153", "153", "154", "154", "155", "155", "156", "156", "157", "157", "158", "158", "159", "159", "160", "160", "161", "161", "162", "162", "163", "163", "164", "164", "165", "165", "166", "166", "167", "167", "168", "168", "169", "169", "170", "170", "171", "171", "172", "172", "173", "173", "174", "174", "175", "175", "176", "176", "177", "177", "178", "178", "179", "179", "180", "180", "181", "181", "182", "182", "183", "183", "184", "184", "185", "185", "186", "186", "187", "187", "188", "188", "189", "189", "190", "190", "191", "191", "192", "192", "193", "193", "194", "194", "195", "195", "196", "196", "197", "197", "198", "198", "199", "199", "200", "200"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180", "181", "182", "183", "184", "185", "186", "187", "188", "189", "190", "191", "192", "193", "194", "195", "196", "197", "198", "199", "200", "201", "202", "203", "204", "205", "206", "207", "208", "209", "210", "211", "212", "213", "214", "215", "216", "217", "218", "219", "220", "221", "222", "223", "224", "225", "226", "227", "228", "229", "230", "231", "232", "233", "234", "235", "236", "237", "238", "239", "240", "241", "242", "243", "244", "245", "246", "247", "248", "249", "250", "251", "252", "253", "254", "255", "256", "257", "258", "259", "260", "261", "262", "263", "264", "265", "266", "267", "268", "269", "270", "271", "272", "273", "274", "275", "276", "277", "278", "279", "280", "281", "282", "283", "284", "285", "286", "287", "288", "289", "290", "291", "292", "293", "294", "295", "296", "297", "298", "299", "300", "301", "302", "303", "304", "305", "306", "307", "308", "309", "310", "311", "312", "313", "314", "315", "316", "317", "318", "319", "320", "321", "322", "323", "324", "325", "326", "327", "328", "329", "330", "331", "332", "333", "334", "335", "336", "337", "338", "339", "340", "341", "342", "343", "344", "345", "346", "347", "348", "349", "350", "351", "352", "353", "354", "355", "356", "357", "358", "359", "360", "361", "362", "363", "364", "365", "366", "367", "368", "369", "370", "371", "372", "373", "374", "375", "376", "377", "378", "379", "380", "381", "382", "383", "384", "385", "386", "387", "388", "389", "390", "391", "392", "393", "394", "395", "396", "397", "398", "399", "400", "401", "402", "403", "404", "405", "406", "407", "408", "409", "410", "411", "412", "413", "414", "415", "416", "417", "418", "419", "420", "421", "422", "423", "424", "425", "426", "427", "428", "429", "430", "431", "432", "433", "434", "435", "436", "437", "438", "439", "440", "441", "442", "443", "444", "445", "446", "447", "448", "449", "450", "451", "452", "453", "454", "455", "456", "457", "458", "459", "460", "461", "462", "463", "464", "465", "466", "467", "468", "469", "470", "471", "472", "473", "474", "475", "476", "477", "478", "479", "480", "481", "482", "483", "484", "485", "486", "487", "488", "489", "490", "491", "492", "493", "494", "495", "496", "497", "498", "499", "500", "501", "502", "503", "504", "505", "506", "507", "508", "509", "510", "511", "512", "513", "514", "515", "516", "517", "518", "519", "520", "521", "522", "523", "524", "525", "526", "527", "528", "529", "530", "531", "532", "533", "534", "535", "536", "537", "538", "539", "540", "541", "542", "543", "544", "545", "546", "547", "548", "549", "550", "551", "552", "553", "554", "555", "556", "557", "558", "559", "560", "561", "562", "563", "564", "565", "566", "567", "568", "569", "570", "571", "572", "573", "574", "575", "576", "577", "578", "579", "580", "581", "582", "583", "584", "585", "586", "587", "588", "589", "590", "591", "592", "593", "594", "595", "596", "597", "598", "599", "600", "601", "602", "603", "604", "605", "606", "607", "608", "609", "610", "611", "612", "613", "614", "615", "616", "617", "618", "619", "620", "621", "622", "623", "624", "625", "626", "627", "628", "629", "630", "631", "632", "633", "634", "635", "636", "637", "638", "639", "640", "641", "642", "643", "644", "645", "646", "647", "648", "649", "650", "651", "652", "653", "654", "655", "656", "657", "658", "659", "660", "661", "662", "663", "664", "665", "666", "667", "668", "669", "670", "671", "672", "673", "674", "675", "676", "677", "678", "679", "680", "681", "682", "683", "684", "685", "686", "687", "688", "689", "690", "691", "692", "693", "694", "695", "696", "697", "698", "699", "700", "701", "702", "703", "704", "705", "706", "707", "708", "709", "710", "711", "712", "713", "714", "715", "716", "717", "718", "719", "720", "721", "722", "723", "724", "725", "726", "727", "728", "729", "730", "731", "732", "733", "734", "735", "736", "737", "738", "739", "740", "741", "742", "743", "744", "745", "746", "747", "748", "749", "750", "751", "752", "753", "754", "755", "756", "757", "758", "759", "760", "761", "762", "763", "764", "765", "766", "767", "768", "769", "770", "771", "772", "773", "774", "775", "776", "777", "778", "779", "780", "781", "782", "783", "784", "785", "786", "787", "788", "789", "790", "791", "792", "793", "794", "795", "796", "797", "798", "799", "800", "801", "802", "803", "804", "805", "806", "807", "808", "809", "810", "811", "812", "813", "814", "815", "816", "817", "818", "819", "820", "821", "822", "823", "824", "825", "826", "827", "828", "829", "830", "831", "832", "833", "834", "835", "836", "837", "838", "839", "840", "841", "842", "843", "844", "845", "846", "847", "848", "849", "850", "851", "852", "853", "854", "855", "856", "857", "858", "859", "860", "861", "862", "863", "864", "865", "866", "867", "868", "869", "870", "871", "872", "873", "874", "875", "876", "877", "878", "879", "880", "881", "882", "883", "884", "885", "886", "887", "888", "889", "890", "891", "892", "893", "894", "895", "896", "897", "898", "899", "900", "901", "902", "903", "904", "905", "906", "907", "908", "909", "910", "911", "912", "913", "914", "915", "916", "917", "918", "919", "920", "921", "922", "923", "924", "925", "926", "927", "928", "929", "930", "931", "932", "933", "934", "935", "936", "937", "938", "939", "940", "941", "942", "943", "944", "945", "946", "947", "948", "949", "950", "951", "952", "953", "954", "955", "956", "957", "958", "959", "960", "961", "962", "963", "964", "965", "966", "967", "968", "969", "970", "971", "972", "973", "974", "975", "976", "977", "978", "979", "980", "981", "982", "983", "984", "985", "986", "987", "988", "989", "990", "991", "992", "993", "994", "995", "996", "997", "998", "999", "1000", "1001", "1002", "1003", "1004", "1005", "1006", "1007", "1008", "1009", "1010", "1011", "1012", "1013", "1014", "1015", "1016", "1017", "1018", "1019", "1020", "1021", "1022", "1023", "1024", "1025", "1026", "1027", "1028", "1029", "1030", "1031", "1032", "1033", "1034", "1035", "1036", "1037", "1038", "1039", "1040", "1041", "1042", "1043", "1044", "1045", "1046", "1047", "1048", "1049", "1050", "1051", "1052", "1053", "1054", "1055", "1056", "1057", "1058", "1059", "1060", "1061", "1062", "1063", "1064", "1065", "1066", "1067", "1068", "1069", "1070", "1071", "1072", "1073", "1074", "1075", "1076", "1077", "1078", "1079", "1080", "1081", "1082", "1083", "1084", "1085", "1086", "1087", "1088", "1089", "1090", "1091", "1092", "1093", "1094", "1095", "1096", "1097", "1098", "1099", "1100", "1101", "1102", "1103", "1104", "1105", "1106", "1107", "1108", "1109", "1110", "1111", "1112", "1113", "1114", "1115", "1116", "1117", "1118", "1119", "1120", "1121", "1122", "1123", "1124", "1125", "1126", "1127", "1128", "1129", "1130", "1131", "1132", "1133", "1134", "1135", "1136", "1137", "1138", "1139", "1140", "1141", "1142", "1143", "1144", "1145", "1146", "1147", "1148", "1149", "1150", "1151", "1152", "1153", "1154", "1155", "1156", "1157", "1158", "1159", "1160", "1161", "1162", "1163", "1164", "1165", "1166", "1167", "1168", "1169", "1170", "1171", "1172", "1173", "1174", "1175", "1176", "1177", "1178", "1179", "1180", "1181", "1182", "1183", "1184", "1185", "1186", "1187", "1188", "1189", "1190", "1191", "1192", "1193", "1194", "1195", "1196", "1197", "1198", "1199", "1200", "1201", "1202", "1203", "1204", "1205", "1206", "1207", "1208", "1209", "1210", "1211", "1212", "1213", "1214", "1215", "1216", "1217", "1218", "1219", "1220", "1221", "1222", "1223", "1224", "1225", "1226", "1227", "1228", "1229", "1230", "1231", "1232", "1233", "1234", "1235", "1236", "1237", "1238", "1239", "1240", "1241", "1242", "1243", "1244", "1245", "1246", "1247", "1248", "1249", "1250", "1251", "1252", "1253", "1254", "1255", "1256", "1257", "1258", "1259", "1260", "1261", "1262", "1263", "1264", "1265", "1266", "1267", "1268", "1269", "1270", "1271", "1272", "1273", "1274", "1275", "1276", "1277", "1278", "1279", "1280", "1281", "1282", "1283", "1284", "1285", "1286", "1287", "1288", "1289", "1290", "1291", "1292", "1293", "1294", "1295", "1296", "1297", "1298", "1299", "1300", "1301", "1302", "1303", "1304", "1305", "1306", "1307", "1308", "1309", "1310", "1311", "1312", "1313", "1314", "1315", "1316", "1317", "1318", "1319", "1320", "1321", "1322", "1323", "1324", "1325", "1326", "1327", "1328", "1329", "1330", "1331", "1332", "1333", "1334", "1335", "1336", "1337", "1338", "1339", "1340", "1341", "1342", "1343", "1344", "1345", "1346", "1347", "1348", "1349", "1350", "1351", "1352", "1353", "1354", "1355", "1356", "1357", "1358", "1359", "1360", "1361", "1362", "1363", "1364", "1365", "1366", "1367", "1368", "1369", "1370", "1371", "1372", "1373", "1374", "1375", "1376", "1377", "1378", "1379", "1380", "1381", "1382", "1383", "1384", "1385", "1386", "1387", "1388", "1389", "1390", "1391", "1392", "1393", "1394", "1395", "1396", "1397", "1398", "1399", "1400", "1401", "1402", "1403", "1404", "1405", "1406", "1407", "1408", "1409", "1410", "1411", "1412", "1413", "1414", "1415", "1416", "1417", "1418", "1419", "1420", "1421", "1422", "1423", "1424", "1425", "1426", "1427", "1428", "1429", "1430", "1431", "1432", "1433", "1434", "1435", "1436", "1437", "1438", "1439", "1440", "1441", "1442", "1443", "1444", "1445", "1446", "1447", "1448", "1449", "1450", "1451", "1452", "1453", "1454", "1455", "1456", "1457", "1458", "1459", "1460", "1461", "1462", "1463", "1464", "1465", "1466", "1467", "1468", "1469", "1470", "1471", "1472", "1473", "1474", "1475", "1476", "1477", "1478", "1479", "1480", "1481", "1482", "1483", "1484", "1485", "1486", "1487", "1488", "1489", "1490", "1491", "1492", "1493", "1494", "1495", "1496", "1497", "1498", "1499", "1500", "1501", "1502", "1503", "1504", "1505", "1506", "1507", "1508", "1509", "1510", "1511", "1512", "1513", "1514", "1515", "1516", "1517", "1518", "1519", "1520", "1521", "1522", "1523", "1524", "1525", "1526", "1527", "1528", "1529", "1530", "1531", "1532", "1533", "1534", "1535", "1536", "1537", "1538", "1539", "1540", "1541", "1542", "1543", "1544", "1545", "1546", "1547", "1548", "1549", "1550", "1551", "1552", "1553", "1554", "1555", "1556", "1557", "1558", "1559", "1560", "1561", "1562", "1563", "1564", "1565", "1566", "1567", "1568", "1569", "1570", "1571", "1572", "1573", "1574", "1575", "1576", "1577", "1578", "1579", "1580", "1581", "1582", "1583", "1584", "1585", "1586", "1587", "1588", "1589", "1590", "1591", "1592", "1593", "1594", "1595", "1596", "1597", "1598", "1599", "1600", "1601", "1602", "1603", "1604", "1605", "1606", "1607", "1608", "1609", "1610", "1611", "1612", "1613", "1614", "1615", "1616", "1617", "1618", "1619", "1620", "1621", "1622", "1623", "1624", "1625", "1626", "1627", "1628", "1629", "1630", "1631", "1632", "1633", "1634", "1635", "1636", "1637", "1638", "1639", "1640", "1641", "1642", "1643", "1644", "1645", "1646", "1647", "1648", "1649", "1650", "1651", "1652", "1653", "1654", "1655", "1656", "1657", "1658", "1659", "1660", "1661", "1662", "1663", "1664", "1665", "1666", "1667", "1668", "1669", "1670", "1671", "1672", "1673", "1674", "1675", "1676", "1677", "1678", "1679", "1680", "1681", "1682", "1683", "1684", "1685", "1686", "1687", "1688", "1689", "1690", "1691", "1692", "1693", "1694", "1695", "1696", "1697", "1698", "1699", "1700", "1701", "1702", "1703", "1704", "1705", "1706", "1707", "1708", "1709", "1710", "1711", "1712", "1713", "1714", "1715", "1716", "1717", "1718", "1719", "1720", "1721", "1722", "1723", "1724", "1725", "1726", "1727", "1728", "1729", "1730", "1731", "1732", "1733", "1734", "1735", "1736", "1737", "1738", "1739", "1740", "1741", "1742", "1743", "1744", "1745", "1746", "1747", "1748", "1749", "1750", "1751", "1752", "1753", "1754", "1755", "1756", "1757", "1758", "1759", "1760", "1761", "1762", "1763", "1764", "1765", "1766", "1767", "1768", "1769", "1770", "1771", "1772", "1773", "1774", "1775", "1776", "1777", "1778", "1779", "1780", "1781", "1782", "1783", "1784", "1785", "1786", "1787", "1788", "1789", "1790", "1791", "1792", "1793", "1794", "1795", "1796", "1797", "1798", "1799", "1800", "1801", "1802", "1803", "1804", "1805", "1806", "1807", "1808", "1809", "1810", "1811", "1812", "1813", "1814", "1815", "1816", "1817", "1818", "1819", "1820", "1821", "1822", "1823", "1824", "1825", "1826", "1827", "1828", "1829", "1830", "1831", "1832", "1833", "1834", "1835", "1836", "1837", "1838", "1839", "1840", "1841", "1842", "1843", "1844", "1845", "1846", "1847", "1848", "1849", "1850", "1851", "1852", "1853", "1854", "1855", "1856", "1857", "1858", "1859", "1860", "1861", "1862", "1863", "1864", "1865", "1866", "1867", "1868", "1869", "1870", "1871", "1872", "1873", "1874", "1875", "1876", "1877", "1878", "1879", "1880", "1881", "1882", "1883", "1884", "1885", "1886", "1887", "1888", "1889", "1890", "1891", "1892", "1893", "1894", "1895", "1896", "1897", "1898", "1899", "1900", "1901", "1902", "1903", "1904", "1905", "1906", "1907", "1908", "1909", "1910", "1911", "1912", "1913", "1914", "1915", "1916", "1917", "1918", "1919", "1920", "1921", "1922", "1923", "1924", "1925", "1926", "1927", "1928", "1929", "1930", "1931", "1932", "1933", "1934", "1935", "1936", "1937", "1938", "1939", "1940", "1941", "1942", "1943", "1944", "1945", "1946", "1947", "1948", "1949", "1950", "1951", "1952", "1953", "1954", "1955", "1956", "1957", "1958", "1959", "1960", "1961", "1962", "1963", "1964", "1965", "1966", "1967", "1968", "1969", "1970", "1971", "1972", "1973", "1974", "1975", "1976", "1977", "1978", "1979", "1980", "1981", "1982", "1983", "1984", "1985", "1986", "1987", "1988", "1989", "1990", "1991", "1992", "1993", "1994", "1995", "1996", "1997", "1998", "1999", "2000")), x = c(1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2), factors = list()), theta = c(1, 0, 1), Lind = c(1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L), Gp = c(0L, 400L), lower = c(0, -Inf, 0), Lambdat = new("dgCMatrix", i = c(0L, 0L, 1L, 2L, 2L, 3L, 4L, 4L, 5L, 6L, 6L, 7L, 8L, 8L, 9L, 10L, 10L, 11L, 12L, 12L, 13L, 14L, 14L, 15L, 16L, 16L, 17L, 18L, 18L, 19L, 20L, 20L, 21L, 22L, 22L, 23L, 24L, 24L, 25L, 26L, 26L, 27L, 28L, 28L, 29L, 30L, 30L, 31L, 32L, 32L, 33L, 34L, 34L, 35L, 36L, 36L, 37L, 38L, 38L, 39L, 40L, 40L, 41L, 42L, 42L, 43L, 44L, 44L, 45L, 46L, 46L, 47L, 48L, 48L, 49L, 50L, 50L, 51L, 52L, 52L, 53L, 54L, 54L, 55L, 56L, 56L, 57L, 58L, 58L, 59L, 60L, 60L, 61L, 62L, 62L, 63L, 64L, 64L, 65L, 66L, 66L, 67L, 68L, 68L, 69L, 70L, 70L, 71L, 72L, 72L, 73L, 74L, 74L, 75L, 76L, 76L, 77L, 78L, 78L, 79L, 80L, 80L, 81L, 82L, 82L, 83L, 84L, 84L, 85L, 86L, 86L, 87L, 88L, 88L, 89L, 90L, 90L, 91L, 92L, 92L, 93L, 94L, 94L, 95L, 96L, 96L, 97L, 98L, 98L, 99L, 100L, 100L, 101L, 102L, 102L, 103L, 104L, 104L, 105L, 106L, 106L, 107L, 108L, 108L, 109L, 110L, 110L, 111L, 112L, 112L, 113L, 114L, 114L, 115L, 116L, 116L, 117L, 118L, 118L, 119L, 120L, 120L, 121L, 122L, 122L, 123L, 124L, 124L, 125L, 126L, 126L, 127L, 128L, 128L, 129L, 130L, 130L, 131L, 132L, 132L, 133L, 134L, 134L, 135L, 136L, 136L, 137L, 138L, 138L, 139L, 140L, 140L, 141L, 142L, 142L, 143L, 144L, 144L, 145L, 146L, 146L, 147L, 148L, 148L, 149L, 150L, 150L, 151L, 152L, 152L, 153L, 154L, 154L, 155L, 156L, 156L, 157L, 158L, 158L, 159L, 160L, 160L, 161L, 162L, 162L, 163L, 164L, 164L, 165L, 166L, 166L, 167L, 168L, 168L, 169L, 170L, 170L, 171L, 172L, 172L, 173L, 174L, 174L, 175L, 176L, 176L, 177L, 178L, 178L, 179L, 180L, 180L, 181L, 182L, 182L, 183L, 184L, 184L, 185L, 186L, 186L, 187L, 188L, 188L, 189L, 190L, 190L, 191L, 192L, 192L, 193L, 194L, 194L, 195L, 196L, 196L, 197L, 198L, 198L, 199L, 200L, 200L, 201L, 202L, 202L, 203L, 204L, 204L, 205L, 206L, 206L, 207L, 208L, 208L, 209L, 210L, 210L, 211L, 212L, 212L, 213L, 214L, 214L, 215L, 216L, 216L, 217L, 218L, 218L, 219L, 220L, 220L, 221L, 222L, 222L, 223L, 224L, 224L, 225L, 226L, 226L, 227L, 228L, 228L, 229L, 230L, 230L, 231L, 232L, 232L, 233L, 234L, 234L, 235L, 236L, 236L, 237L, 238L, 238L, 239L, 240L, 240L, 241L, 242L, 242L, 243L, 244L, 244L, 245L, 246L, 246L, 247L, 248L, 248L, 249L, 250L, 250L, 251L, 252L, 252L, 253L, 254L, 254L, 255L, 256L, 256L, 257L, 258L, 258L, 259L, 260L, 260L, 261L, 262L, 262L, 263L, 264L, 264L, 265L, 266L, 266L, 267L, 268L, 268L, 269L, 270L, 270L, 271L, 272L, 272L, 273L, 274L, 274L, 275L, 276L, 276L, 277L, 278L, 278L, 279L, 280L, 280L, 281L, 282L, 282L, 283L, 284L, 284L, 285L, 286L, 286L, 287L, 288L, 288L, 289L, 290L, 290L, 291L, 292L, 292L, 293L, 294L, 294L, 295L, 296L, 296L, 297L, 298L, 298L, 299L, 300L, 300L, 301L, 302L, 302L, 303L, 304L, 304L, 305L, 306L, 306L, 307L, 308L, 308L, 309L, 310L, 310L, 311L, 312L, 312L, 313L, 314L, 314L, 315L, 316L, 316L, 317L, 318L, 318L, 319L, 320L, 320L, 321L, 322L, 322L, 323L, 324L, 324L, 325L, 326L, 326L, 327L, 328L, 328L, 329L, 330L, 330L, 331L, 332L, 332L, 333L, 334L, 334L, 335L, 336L, 336L, 337L, 338L, 338L, 339L, 340L, 340L, 341L, 342L, 342L, 343L, 344L, 344L, 345L, 346L, 346L, 347L, 348L, 348L, 349L, 350L, 350L, 351L, 352L, 352L, 353L, 354L, 354L, 355L, 356L, 356L, 357L, 358L, 358L, 359L, 360L, 360L, 361L, 362L, 362L, 363L, 364L, 364L, 365L, 366L, 366L, 367L, 368L, 368L, 369L, 370L, 370L, 371L, 372L, 372L, 373L, 374L, 374L, 375L, 376L, 376L, 377L, 378L, 378L, 379L, 380L, 380L, 381L, 382L, 382L, 383L, 384L, 384L, 385L, 386L, 386L, 387L, 388L, 388L, 389L, 390L, 390L, 391L, 392L, 392L, 393L, 394L, 394L, 395L, 396L, 396L, 397L, 398L, 398L, 399L), p = c(0L, 1L, 3L, 4L, 6L, 7L, 9L, 10L, 12L, 13L, 15L, 16L, 18L, 19L, 21L, 22L, 24L, 25L, 27L, 28L, 30L, 31L, 33L, 34L, 36L, 37L, 39L, 40L, 42L, 43L, 45L, 46L, 48L, 49L, 51L, 52L, 54L, 55L, 57L, 58L, 60L, 61L, 63L, 64L, 66L, 67L, 69L, 70L, 72L, 73L, 75L, 76L, 78L, 79L, 81L, 82L, 84L, 85L, 87L, 88L, 90L, 91L, 93L, 94L, 96L, 97L, 99L, 100L, 102L, 103L, 105L, 106L, 108L, 109L, 111L, 112L, 114L, 115L, 117L, 118L, 120L, 121L, 123L, 124L, 126L, 127L, 129L, 130L, 132L, 133L, 135L, 136L, 138L, 139L, 141L, 142L, 144L, 145L, 147L, 148L, 150L, 151L, 153L, 154L, 156L, 157L, 159L, 160L, 162L, 163L, 165L, 166L, 168L, 169L, 171L, 172L, 174L, 175L, 177L, 178L, 180L, 181L, 183L, 184L, 186L, 187L, 189L, 190L, 192L, 193L, 195L, 196L, 198L, 199L, 201L, 202L, 204L, 205L, 207L, 208L, 210L, 211L, 213L, 214L, 216L, 217L, 219L, 220L, 222L, 223L, 225L, 226L, 228L, 229L, 231L, 232L, 234L, 235L, 237L, 238L, 240L, 241L, 243L, 244L, 246L, 247L, 249L, 250L, 252L, 253L, 255L, 256L, 258L, 259L, 261L, 262L, 264L, 265L, 267L, 268L, 270L, 271L, 273L, 274L, 276L, 277L, 279L, 280L, 282L, 283L, 285L, 286L, 288L, 289L, 291L, 292L, 294L, 295L, 297L, 298L, 300L, 301L, 303L, 304L, 306L, 307L, 309L, 310L, 312L, 313L, 315L, 316L, 318L, 319L, 321L, 322L, 324L, 325L, 327L, 328L, 330L, 331L, 333L, 334L, 336L, 337L, 339L, 340L, 342L, 343L, 345L, 346L, 348L, 349L, 351L, 352L, 354L, 355L, 357L, 358L, 360L, 361L, 363L, 364L, 366L, 367L, 369L, 370L, 372L, 373L, 375L, 376L, 378L, 379L, 381L, 382L, 384L, 385L, 387L, 388L, 390L, 391L, 393L, 394L, 396L, 397L, 399L, 400L, 402L, 403L, 405L, 406L, 408L, 409L, 411L, 412L, 414L, 415L, 417L, 418L, 420L, 421L, 423L, 424L, 426L, 427L, 429L, 430L, 432L, 433L, 435L, 436L, 438L, 439L, 441L, 442L, 444L, 445L, 447L, 448L, 450L, 451L, 453L, 454L, 456L, 457L, 459L, 460L, 462L, 463L, 465L, 466L, 468L, 469L, 471L, 472L, 474L, 475L, 477L, 478L, 480L, 481L, 483L, 484L, 486L, 487L, 489L, 490L, 492L, 493L, 495L, 496L, 498L, 499L, 501L, 502L, 504L, 505L, 507L, 508L, 510L, 511L, 513L, 514L, 516L, 517L, 519L, 520L, 522L, 523L, 525L, 526L, 528L, 529L, 531L, 532L, 534L, 535L, 537L, 538L, 540L, 541L, 543L, 544L, 546L, 547L, 549L, 550L, 552L, 553L, 555L, 556L, 558L, 559L, 561L, 562L, 564L, 565L, 567L, 568L, 570L, 571L, 573L, 574L, 576L, 577L, 579L, 580L, 582L, 583L, 585L, 586L, 588L, 589L, 591L, 592L, 594L, 595L, 597L, 598L, 600L), Dim = c(400L, 400L), Dimnames = list(NULL, NULL), x = c(1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1), factors = list()), flist = list(Id = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 53L, 53L, 53L, 53L, 53L, 53L, 53L, 53L, 53L, 53L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 56L, 56L, 56L, 56L, 56L, 56L, 56L, 56L, 56L, 56L, 57L, 57L, 57L, 57L, 57L, 57L, 57L, 57L, 57L, 57L, 58L, 58L, 58L, 58L, 58L, 58L, 58L, 58L, 58L, 58L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 60L, 60L, 60L, 60L, 60L, 60L, 60L, 60L, 60L, 60L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 66L, 66L, 66L, 66L, 66L, 66L, 66L, 66L, 66L, 66L, 67L, 67L, 67L, 67L, 67L, 67L, 67L, 67L, 67L, 67L, 68L, 68L, 68L, 68L, 68L, 68L, 68L, 68L, 68L, 68L, 69L, 69L, 69L, 69L, 69L, 69L, 69L, 69L, 69L, 69L, 70L, 70L, 70L, 70L, 70L, 70L, 70L, 70L, 70L, 70L, 71L, 71L, 71L, 71L, 71L, 71L, 71L, 71L, 71L, 71L, 72L, 72L, 72L, 72L, 72L, 72L, 72L, 72L, 72L, 72L, 73L, 73L, 73L, 73L, 73L, 73L, 73L, 73L, 73L, 73L, 74L, 74L, 74L, 74L, 74L, 74L, 74L, 74L, 74L, 74L, 75L, 75L, 75L, 75L, 75L, 75L, 75L, 75L, 75L, 75L, 76L, 76L, 76L, 76L, 76L, 76L, 76L, 76L, 76L, 76L, 77L, 77L, 77L, 77L, 77L, 77L, 77L, 77L, 77L, 77L, 78L, 78L, 78L, 78L, 78L, 78L, 78L, 78L, 78L, 78L, 79L, 79L, 79L, 79L, 79L, 79L, 79L, 79L, 79L, 79L, 80L, 80L, 80L, 80L, 80L, 80L, 80L, 80L, 80L, 80L, 81L, 81L, 81L, 81L, 81L, 81L, 81L, 81L, 81L, 81L, 82L, 82L, 82L, 82L, 82L, 82L, 82L, 82L, 82L, 82L, 83L, 83L, 83L, 83L, 83L, 83L, 83L, 83L, 83L, 83L, 84L, 84L, 84L, 84L, 84L, 84L, 84L, 84L, 84L, 84L, 85L, 85L, 85L, 85L, 85L, 85L, 85L, 85L, 85L, 85L, 86L, 86L, 86L, 86L, 86L, 86L, 86L, 86L, 86L, 86L, 87L, 87L, 87L, 87L, 87L, 87L, 87L, 87L, 87L, 87L, 88L, 88L, 88L, 88L, 88L, 88L, 88L, 88L, 88L, 88L, 89L, 89L, 89L, 89L, 89L, 89L, 89L, 89L, 89L, 89L, 90L, 90L, 90L, 90L, 90L, 90L, 90L, 90L, 90L, 90L, 91L, 91L, 91L, 91L, 91L, 91L, 91L, 91L, 91L, 91L, 92L, 92L, 92L, 92L, 92L, 92L, 92L, 92L, 92L, 92L, 93L, 93L, 93L, 93L, 93L, 93L, 93L, 93L, 93L, 93L, 94L, 94L, 94L, 94L, 94L, 94L, 94L, 94L, 94L, 94L, 95L, 95L, 95L, 95L, 95L, 95L, 95L, 95L, 95L, 95L, 96L, 96L, 96L, 96L, 96L, 96L, 96L, 96L, 96L, 96L, 97L, 97L, 97L, 97L, 97L, 97L, 97L, 97L, 97L, 97L, 98L, 98L, 98L, 98L, 98L, 98L, 98L, 98L, 98L, 98L, 99L, 99L, 99L, 99L, 99L, 99L, 99L, 99L, 99L, 99L, 100L, 100L, 100L, 100L, 100L, 100L, 100L, 100L, 100L, 100L, 101L, 101L, 101L, 101L, 101L, 101L, 101L, 101L, 101L, 101L, 102L, 102L, 102L, 102L, 102L, 102L, 102L, 102L, 102L, 102L, 103L, 103L, 103L, 103L, 103L, 103L, 103L, 103L, 103L, 103L, 104L, 104L, 104L, 104L, 104L, 104L, 104L, 104L, 104L, 104L, 105L, 105L, 105L, 105L, 105L, 105L, 105L, 105L, 105L, 105L, 106L, 106L, 106L, 106L, 106L, 106L, 106L, 106L, 106L, 106L, 107L, 107L, 107L, 107L, 107L, 107L, 107L, 107L, 107L, 107L, 108L, 108L, 108L, 108L, 108L, 108L, 108L, 108L, 108L, 108L, 109L, 109L, 109L, 109L, 109L, 109L, 109L, 109L, 109L, 109L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 111L, 111L, 111L, 111L, 111L, 111L, 111L, 111L, 111L, 111L, 112L, 112L, 112L, 112L, 112L, 112L, 112L, 112L, 112L, 112L, 113L, 113L, 113L, 113L, 113L, 113L, 113L, 113L, 113L, 113L, 114L, 114L, 114L, 114L, 114L, 114L, 114L, 114L, 114L, 114L, 115L, 115L, 115L, 115L, 115L, 115L, 115L, 115L, 115L, 115L, 116L, 116L, 116L, 116L, 116L, 116L, 116L, 116L, 116L, 116L, 117L, 117L, 117L, 117L, 117L, 117L, 117L, 117L, 117L, 117L, 118L, 118L, 118L, 118L, 118L, 118L, 118L, 118L, 118L, 118L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 120L, 120L, 120L, 120L, 120L, 120L, 120L, 120L, 120L, 120L, 121L, 121L, 121L, 121L, 121L, 121L, 121L, 121L, 121L, 121L, 122L, 122L, 122L, 122L, 122L, 122L, 122L, 122L, 122L, 122L, 123L, 123L, 123L, 123L, 123L, 123L, 123L, 123L, 123L, 123L, 124L, 124L, 124L, 124L, 124L, 124L, 124L, 124L, 124L, 124L, 125L, 125L, 125L, 125L, 125L, 125L, 125L, 125L, 125L, 125L, 126L, 126L, 126L, 126L, 126L, 126L, 126L, 126L, 126L, 126L, 127L, 127L, 127L, 127L, 127L, 127L, 127L, 127L, 127L, 127L, 128L, 128L, 128L, 128L, 128L, 128L, 128L, 128L, 128L, 128L, 129L, 129L, 129L, 129L, 129L, 129L, 129L, 129L, 129L, 129L, 130L, 130L, 130L, 130L, 130L, 130L, 130L, 130L, 130L, 130L, 131L, 131L, 131L, 131L, 131L, 131L, 131L, 131L, 131L, 131L, 132L, 132L, 132L, 132L, 132L, 132L, 132L, 132L, 132L, 132L, 133L, 133L, 133L, 133L, 133L, 133L, 133L, 133L, 133L, 133L, 134L, 134L, 134L, 134L, 134L, 134L, 134L, 134L, 134L, 134L, 135L, 135L, 135L, 135L, 135L, 135L, 135L, 135L, 135L, 135L, 136L, 136L, 136L, 136L, 136L, 136L, 136L, 136L, 136L, 136L, 137L, 137L, 137L, 137L, 137L, 137L, 137L, 137L, 137L, 137L, 138L, 138L, 138L, 138L, 138L, 138L, 138L, 138L, 138L, 138L, 139L, 139L, 139L, 139L, 139L, 139L, 139L, 139L, 139L, 139L, 140L, 140L, 140L, 140L, 140L, 140L, 140L, 140L, 140L, 140L, 141L, 141L, 141L, 141L, 141L, 141L, 141L, 141L, 141L, 141L, 142L, 142L, 142L, 142L, 142L, 142L, 142L, 142L, 142L, 142L, 143L, 143L, 143L, 143L, 143L, 143L, 143L, 143L, 143L, 143L, 144L, 144L, 144L, 144L, 144L, 144L, 144L, 144L, 144L, 144L, 145L, 145L, 145L, 145L, 145L, 145L, 145L, 145L, 145L, 145L, 146L, 146L, 146L, 146L, 146L, 146L, 146L, 146L, 146L, 146L, 147L, 147L, 147L, 147L, 147L, 147L, 147L, 147L, 147L, 147L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 149L, 149L, 149L, 149L, 149L, 149L, 149L, 149L, 149L, 149L, 150L, 150L, 150L, 150L, 150L, 150L, 150L, 150L, 150L, 150L, 151L, 151L, 151L, 151L, 151L, 151L, 151L, 151L, 151L, 151L, 152L, 152L, 152L, 152L, 152L, 152L, 152L, 152L, 152L, 152L, 153L, 153L, 153L, 153L, 153L, 153L, 153L, 153L, 153L, 153L, 154L, 154L, 154L, 154L, 154L, 154L, 154L, 154L, 154L, 154L, 155L, 155L, 155L, 155L, 155L, 155L, 155L, 155L, 155L, 155L, 156L, 156L, 156L, 156L, 156L, 156L, 156L, 156L, 156L, 156L, 157L, 157L, 157L, 157L, 157L, 157L, 157L, 157L, 157L, 157L, 158L, 158L, 158L, 158L, 158L, 158L, 158L, 158L, 158L, 158L, 159L, 159L, 159L, 159L, 159L, 159L, 159L, 159L, 159L, 159L, 160L, 160L, 160L, 160L, 160L, 160L, 160L, 160L, 160L, 160L, 161L, 161L, 161L, 161L, 161L, 161L, 161L, 161L, 161L, 161L, 162L, 162L, 162L, 162L, 162L, 162L, 162L, 162L, 162L, 162L, 163L, 163L, 163L, 163L, 163L, 163L, 163L, 163L, 163L, 163L, 164L, 164L, 164L, 164L, 164L, 164L, 164L, 164L, 164L, 164L, 165L, 165L, 165L, 165L, 165L, 165L, 165L, 165L, 165L, 165L, 166L, 166L, 166L, 166L, 166L, 166L, 166L, 166L, 166L, 166L, 167L, 167L, 167L, 167L, 167L, 167L, 167L, 167L, 167L, 167L, 168L, 168L, 168L, 168L, 168L, 168L, 168L, 168L, 168L, 168L, 169L, 169L, 169L, 169L, 169L, 169L, 169L, 169L, 169L, 169L, 170L, 170L, 170L, 170L, 170L, 170L, 170L, 170L, 170L, 170L, 171L, 171L, 171L, 171L, 171L, 171L, 171L, 171L, 171L, 171L, 172L, 172L, 172L, 172L, 172L, 172L, 172L, 172L, 172L, 172L, 173L, 173L, 173L, 173L, 173L, 173L, 173L, 173L, 173L, 173L, 174L, 174L, 174L, 174L, 174L, 174L, 174L, 174L, 174L, 174L, 175L, 175L, 175L, 175L, 175L, 175L, 175L, 175L, 175L, 175L, 176L, 176L, 176L, 176L, 176L, 176L, 176L, 176L, 176L, 176L, 177L, 177L, 177L, 177L, 177L, 177L, 177L, 177L, 177L, 177L, 178L, 178L, 178L, 178L, 178L, 178L, 178L, 178L, 178L, 178L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 180L, 180L, 180L, 180L, 180L, 180L, 180L, 180L, 180L, 180L, 181L, 181L, 181L, 181L, 181L, 181L, 181L, 181L, 181L, 181L, 182L, 182L, 182L, 182L, 182L, 182L, 182L, 182L, 182L, 182L, 183L, 183L, 183L, 183L, 183L, 183L, 183L, 183L, 183L, 183L, 184L, 184L, 184L, 184L, 184L, 184L, 184L, 184L, 184L, 184L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 186L, 186L, 186L, 186L, 186L, 186L, 186L, 186L, 186L, 186L, 187L, 187L, 187L, 187L, 187L, 187L, 187L, 187L, 187L, 187L, 188L, 188L, 188L, 188L, 188L, 188L, 188L, 188L, 188L, 188L, 189L, 189L, 189L, 189L, 189L, 189L, 189L, 189L, 189L, 189L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 191L, 191L, 191L, 191L, 191L, 191L, 191L, 191L, 191L, 191L, 192L, 192L, 192L, 192L, 192L, 192L, 192L, 192L, 192L, 192L, 193L, 193L, 193L, 193L, 193L, 193L, 193L, 193L, 193L, 193L, 194L, 194L, 194L, 194L, 194L, 194L, 194L, 194L, 194L, 194L, 195L, 195L, 195L, 195L, 195L, 195L, 195L, 195L, 195L, 195L, 196L, 196L, 196L, 196L, 196L, 196L, 196L, 196L, 196L, 196L, 197L, 197L, 197L, 197L, 197L, 197L, 197L, 197L, 197L, 197L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 199L, 199L, 199L, 199L, 199L, 199L, 199L, 199L, 199L, 199L, 200L, 200L, 200L, 200L, 200L, 200L, 200L, 200L, 200L, 200L)), cnms = list(Id = c("(Intercept)", "Time")), Ztlist = list(`Time | Id` = new("dgCMatrix", i = c(0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 2L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 4L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 6L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 8L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 10L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 12L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 14L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 16L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 18L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 20L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 22L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 24L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 26L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 28L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 30L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 32L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 34L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 36L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 36L, 37L, 38L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 38L, 39L, 40L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 40L, 41L, 42L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 42L, 43L, 44L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 44L, 45L, 46L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 46L, 47L, 48L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 48L, 49L, 50L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 50L, 51L, 52L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 52L, 53L, 54L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 54L, 55L, 56L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 56L, 57L, 58L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 58L, 59L, 60L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 60L, 61L, 62L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 62L, 63L, 64L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 64L, 65L, 66L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 66L, 67L, 68L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 68L, 69L, 70L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 70L, 71L, 72L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 72L, 73L, 74L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 74L, 75L, 76L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 76L, 77L, 78L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 78L, 79L, 80L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 80L, 81L, 82L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 82L, 83L, 84L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 84L, 85L, 86L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 86L, 87L, 88L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 88L, 89L, 90L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 90L, 91L, 92L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 92L, 93L, 94L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 94L, 95L, 96L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 96L, 97L, 98L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 98L, 99L, 100L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 100L, 101L, 102L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 102L, 103L, 104L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 104L, 105L, 106L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 106L, 107L, 108L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 108L, 109L, 110L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 110L, 111L, 112L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 112L, 113L, 114L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 114L, 115L, 116L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 116L, 117L, 118L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 118L, 119L, 120L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 120L, 121L, 122L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 122L, 123L, 124L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 124L, 125L, 126L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 126L, 127L, 128L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 128L, 129L, 130L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 130L, 131L, 132L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 132L, 133L, 134L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 134L, 135L, 136L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 136L, 137L, 138L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 138L, 139L, 140L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 140L, 141L, 142L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 142L, 143L, 144L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 144L, 145L, 146L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 146L, 147L, 148L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 148L, 149L, 150L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 150L, 151L, 152L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 152L, 153L, 154L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 154L, 155L, 156L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 156L, 157L, 158L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 158L, 159L, 160L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 160L, 161L, 162L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 162L, 163L, 164L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 164L, 165L, 166L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 166L, 167L, 168L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 168L, 169L, 170L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 170L, 171L, 172L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 172L, 173L, 174L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 174L, 175L, 176L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 176L, 177L, 178L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 178L, 179L, 180L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 180L, 181L, 182L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 182L, 183L, 184L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 184L, 185L, 186L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 186L, 187L, 188L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 188L, 189L, 190L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 190L, 191L, 192L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 192L, 193L, 194L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 194L, 195L, 196L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 196L, 197L, 198L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 198L, 199L, 200L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 200L, 201L, 202L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 202L, 203L, 204L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 204L, 205L, 206L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 206L, 207L, 208L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 208L, 209L, 210L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 210L, 211L, 212L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 212L, 213L, 214L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 214L, 215L, 216L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 216L, 217L, 218L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 218L, 219L, 220L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 220L, 221L, 222L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 222L, 223L, 224L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 224L, 225L, 226L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 226L, 227L, 228L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 228L, 229L, 230L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 230L, 231L, 232L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 232L, 233L, 234L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 234L, 235L, 236L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 236L, 237L, 238L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 238L, 239L, 240L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 240L, 241L, 242L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 242L, 243L, 244L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 244L, 245L, 246L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 246L, 247L, 248L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 248L, 249L, 250L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 250L, 251L, 252L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 252L, 253L, 254L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 254L, 255L, 256L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 256L, 257L, 258L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 258L, 259L, 260L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 260L, 261L, 262L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 262L, 263L, 264L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 264L, 265L, 266L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 266L, 267L, 268L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 268L, 269L, 270L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 270L, 271L, 272L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 272L, 273L, 274L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 274L, 275L, 276L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 276L, 277L, 278L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 278L, 279L, 280L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 280L, 281L, 282L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 282L, 283L, 284L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 284L, 285L, 286L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 286L, 287L, 288L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 288L, 289L, 290L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 290L, 291L, 292L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 292L, 293L, 294L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 294L, 295L, 296L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 296L, 297L, 298L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 298L, 299L, 300L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 300L, 301L, 302L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 302L, 303L, 304L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 304L, 305L, 306L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 306L, 307L, 308L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 308L, 309L, 310L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 310L, 311L, 312L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 312L, 313L, 314L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 314L, 315L, 316L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 316L, 317L, 318L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 318L, 319L, 320L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 320L, 321L, 322L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 322L, 323L, 324L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 324L, 325L, 326L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 326L, 327L, 328L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 328L, 329L, 330L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 330L, 331L, 332L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 332L, 333L, 334L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 334L, 335L, 336L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 336L, 337L, 338L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 338L, 339L, 340L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 340L, 341L, 342L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 342L, 343L, 344L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 344L, 345L, 346L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 346L, 347L, 348L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 348L, 349L, 350L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 350L, 351L, 352L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 352L, 353L, 354L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 354L, 355L, 356L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 356L, 357L, 358L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 358L, 359L, 360L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 360L, 361L, 362L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 362L, 363L, 364L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 364L, 365L, 366L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 366L, 367L, 368L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 368L, 369L, 370L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 370L, 371L, 372L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 372L, 373L, 374L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 374L, 375L, 376L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 376L, 377L, 378L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 378L, 379L, 380L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 380L, 381L, 382L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 382L, 383L, 384L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 384L, 385L, 386L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 386L, 387L, 388L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 388L, 389L, 390L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 390L, 391L, 392L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 392L, 393L, 394L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 394L, 395L, 396L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 396L, 397L, 398L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L, 398L, 399L), p = c(0L, 1L, 3L, 5L, 7L, 9L, 11L, 13L, 15L, 17L, 19L, 20L, 22L, 24L, 26L, 28L, 30L, 32L, 34L, 36L, 38L, 39L, 41L, 43L, 45L, 47L, 49L, 51L, 53L, 55L, 57L, 58L, 60L, 62L, 64L, 66L, 68L, 70L, 72L, 74L, 76L, 77L, 79L, 81L, 83L, 85L, 87L, 89L, 91L, 93L, 95L, 96L, 98L, 100L, 102L, 104L, 106L, 108L, 110L, 112L, 114L, 115L, 117L, 119L, 121L, 123L, 125L, 127L, 129L, 131L, 133L, 134L, 136L, 138L, 140L, 142L, 144L, 146L, 148L, 150L, 152L, 153L, 155L, 157L, 159L, 161L, 163L, 165L, 167L, 169L, 171L, 172L, 174L, 176L, 178L, 180L, 182L, 184L, 186L, 188L, 190L, 191L, 193L, 195L, 197L, 199L, 201L, 203L, 205L, 207L, 209L, 210L, 212L, 214L, 216L, 218L, 220L, 222L, 224L, 226L, 228L, 229L, 231L, 233L, 235L, 237L, 239L, 241L, 243L, 245L, 247L, 248L, 250L, 252L, 254L, 256L, 258L, 260L, 262L, 264L, 266L, 267L, 269L, 271L, 273L, 275L, 277L, 279L, 281L, 283L, 285L, 286L, 288L, 290L, 292L, 294L, 296L, 298L, 300L, 302L, 304L, 305L, 307L, 309L, 311L, 313L, 315L, 317L, 319L, 321L, 323L, 324L, 326L, 328L, 330L, 332L, 334L, 336L, 338L, 340L, 342L, 343L, 345L, 347L, 349L, 351L, 353L, 355L, 357L, 359L, 361L, 362L, 364L, 366L, 368L, 370L, 372L, 374L, 376L, 378L, 380L, 381L, 383L, 385L, 387L, 389L, 391L, 393L, 395L, 397L, 399L, 400L, 402L, 404L, 406L, 408L, 410L, 412L, 414L, 416L, 418L, 419L, 421L, 423L, 425L, 427L, 429L, 431L, 433L, 435L, 437L, 438L, 440L, 442L, 444L, 446L, 448L, 450L, 452L, 454L, 456L, 457L, 459L, 461L, 463L, 465L, 467L, 469L, 471L, 473L, 475L, 476L, 478L, 480L, 482L, 484L, 486L, 488L, 490L, 492L, 494L, 495L, 497L, 499L, 501L, 503L, 505L, 507L, 509L, 511L, 513L, 514L, 516L, 518L, 520L, 522L, 524L, 526L, 528L, 530L, 532L, 533L, 535L, 537L, 539L, 541L, 543L, 545L, 547L, 549L, 551L, 552L, 554L, 556L, 558L, 560L, 562L, 564L, 566L, 568L, 570L, 571L, 573L, 575L, 577L, 579L, 581L, 583L, 585L, 587L, 589L, 590L, 592L, 594L, 596L, 598L, 600L, 602L, 604L, 606L, 608L, 609L, 611L, 613L, 615L, 617L, 619L, 621L, 623L, 625L, 627L, 628L, 630L, 632L, 634L, 636L, 638L, 640L, 642L, 644L, 646L, 647L, 649L, 651L, 653L, 655L, 657L, 659L, 661L, 663L, 665L, 666L, 668L, 670L, 672L, 674L, 676L, 678L, 680L, 682L, 684L, 685L, 687L, 689L, 691L, 693L, 695L, 697L, 699L, 701L, 703L, 704L, 706L, 708L, 710L, 712L, 714L, 716L, 718L, 720L, 722L, 723L, 725L, 727L, 729L, 731L, 733L, 735L, 737L, 739L, 741L, 742L, 744L, 746L, 748L, 750L, 752L, 754L, 756L, 758L, 760L, 761L, 763L, 765L, 767L, 769L, 771L, 773L, 775L, 777L, 779L, 780L, 782L, 784L, 786L, 788L, 790L, 792L, 794L, 796L, 798L, 799L, 801L, 803L, 805L, 807L, 809L, 811L, 813L, 815L, 817L, 818L, 820L, 822L, 824L, 826L, 828L, 830L, 832L, 834L, 836L, 837L, 839L, 841L, 843L, 845L, 847L, 849L, 851L, 853L, 855L, 856L, 858L, 860L, 862L, 864L, 866L, 868L, 870L, 872L, 874L, 875L, 877L, 879L, 881L, 883L, 885L, 887L, 889L, 891L, 893L, 894L, 896L, 898L, 900L, 902L, 904L, 906L, 908L, 910L, 912L, 913L, 915L, 917L, 919L, 921L, 923L, 925L, 927L, 929L, 931L, 932L, 934L, 936L, 938L, 940L, 942L, 944L, 946L, 948L, 950L, 951L, 953L, 955L, 957L, 959L, 961L, 963L, 965L, 967L, 969L, 970L, 972L, 974L, 976L, 978L, 980L, 982L, 984L, 986L, 988L, 989L, 991L, 993L, 995L, 997L, 999L, 1001L, 1003L, 1005L, 1007L, 1008L, 1010L, 1012L, 1014L, 1016L, 1018L, 1020L, 1022L, 1024L, 1026L, 1027L, 1029L, 1031L, 1033L, 1035L, 1037L, 1039L, 1041L, 1043L, 1045L, 1046L, 1048L, 1050L, 1052L, 1054L, 1056L, 1058L, 1060L, 1062L, 1064L, 1065L, 1067L, 1069L, 1071L, 1073L, 1075L, 1077L, 1079L, 1081L, 1083L, 1084L, 1086L, 1088L, 1090L, 1092L, 1094L, 1096L, 1098L, 1100L, 1102L, 1103L, 1105L, 1107L, 1109L, 1111L, 1113L, 1115L, 1117L, 1119L, 1121L, 1122L, 1124L, 1126L, 1128L, 1130L, 1132L, 1134L, 1136L, 1138L, 1140L, 1141L, 1143L, 1145L, 1147L, 1149L, 1151L, 1153L, 1155L, 1157L, 1159L, 1160L, 1162L, 1164L, 1166L, 1168L, 1170L, 1172L, 1174L, 1176L, 1178L, 1179L, 1181L, 1183L, 1185L, 1187L, 1189L, 1191L, 1193L, 1195L, 1197L, 1198L, 1200L, 1202L, 1204L, 1206L, 1208L, 1210L, 1212L, 1214L, 1216L, 1217L, 1219L, 1221L, 1223L, 1225L, 1227L, 1229L, 1231L, 1233L, 1235L, 1236L, 1238L, 1240L, 1242L, 1244L, 1246L, 1248L, 1250L, 1252L, 1254L, 1255L, 1257L, 1259L, 1261L, 1263L, 1265L, 1267L, 1269L, 1271L, 1273L, 1274L, 1276L, 1278L, 1280L, 1282L, 1284L, 1286L, 1288L, 1290L, 1292L, 1293L, 1295L, 1297L, 1299L, 1301L, 1303L, 1305L, 1307L, 1309L, 1311L, 1312L, 1314L, 1316L, 1318L, 1320L, 1322L, 1324L, 1326L, 1328L, 1330L, 1331L, 1333L, 1335L, 1337L, 1339L, 1341L, 1343L, 1345L, 1347L, 1349L, 1350L, 1352L, 1354L, 1356L, 1358L, 1360L, 1362L, 1364L, 1366L, 1368L, 1369L, 1371L, 1373L, 1375L, 1377L, 1379L, 1381L, 1383L, 1385L, 1387L, 1388L, 1390L, 1392L, 1394L, 1396L, 1398L, 1400L, 1402L, 1404L, 1406L, 1407L, 1409L, 1411L, 1413L, 1415L, 1417L, 1419L, 1421L, 1423L, 1425L, 1426L, 1428L, 1430L, 1432L, 1434L, 1436L, 1438L, 1440L, 1442L, 1444L, 1445L, 1447L, 1449L, 1451L, 1453L, 1455L, 1457L, 1459L, 1461L, 1463L, 1464L, 1466L, 1468L, 1470L, 1472L, 1474L, 1476L, 1478L, 1480L, 1482L, 1483L, 1485L, 1487L, 1489L, 1491L, 1493L, 1495L, 1497L, 1499L, 1501L, 1502L, 1504L, 1506L, 1508L, 1510L, 1512L, 1514L, 1516L, 1518L, 1520L, 1521L, 1523L, 1525L, 1527L, 1529L, 1531L, 1533L, 1535L, 1537L, 1539L, 1540L, 1542L, 1544L, 1546L, 1548L, 1550L, 1552L, 1554L, 1556L, 1558L, 1559L, 1561L, 1563L, 1565L, 1567L, 1569L, 1571L, 1573L, 1575L, 1577L, 1578L, 1580L, 1582L, 1584L, 1586L, 1588L, 1590L, 1592L, 1594L, 1596L, 1597L, 1599L, 1601L, 1603L, 1605L, 1607L, 1609L, 1611L, 1613L, 1615L, 1616L, 1618L, 1620L, 1622L, 1624L, 1626L, 1628L, 1630L, 1632L, 1634L, 1635L, 1637L, 1639L, 1641L, 1643L, 1645L, 1647L, 1649L, 1651L, 1653L, 1654L, 1656L, 1658L, 1660L, 1662L, 1664L, 1666L, 1668L, 1670L, 1672L, 1673L, 1675L, 1677L, 1679L, 1681L, 1683L, 1685L, 1687L, 1689L, 1691L, 1692L, 1694L, 1696L, 1698L, 1700L, 1702L, 1704L, 1706L, 1708L, 1710L, 1711L, 1713L, 1715L, 1717L, 1719L, 1721L, 1723L, 1725L, 1727L, 1729L, 1730L, 1732L, 1734L, 1736L, 1738L, 1740L, 1742L, 1744L, 1746L, 1748L, 1749L, 1751L, 1753L, 1755L, 1757L, 1759L, 1761L, 1763L, 1765L, 1767L, 1768L, 1770L, 1772L, 1774L, 1776L, 1778L, 1780L, 1782L, 1784L, 1786L, 1787L, 1789L, 1791L, 1793L, 1795L, 1797L, 1799L, 1801L, 1803L, 1805L, 1806L, 1808L, 1810L, 1812L, 1814L, 1816L, 1818L, 1820L, 1822L, 1824L, 1825L, 1827L, 1829L, 1831L, 1833L, 1835L, 1837L, 1839L, 1841L, 1843L, 1844L, 1846L, 1848L, 1850L, 1852L, 1854L, 1856L, 1858L, 1860L, 1862L, 1863L, 1865L, 1867L, 1869L, 1871L, 1873L, 1875L, 1877L, 1879L, 1881L, 1882L, 1884L, 1886L, 1888L, 1890L, 1892L, 1894L, 1896L, 1898L, 1900L, 1901L, 1903L, 1905L, 1907L, 1909L, 1911L, 1913L, 1915L, 1917L, 1919L, 1920L, 1922L, 1924L, 1926L, 1928L, 1930L, 1932L, 1934L, 1936L, 1938L, 1939L, 1941L, 1943L, 1945L, 1947L, 1949L, 1951L, 1953L, 1955L, 1957L, 1958L, 1960L, 1962L, 1964L, 1966L, 1968L, 1970L, 1972L, 1974L, 1976L, 1977L, 1979L, 1981L, 1983L, 1985L, 1987L, 1989L, 1991L, 1993L, 1995L, 1996L, 1998L, 2000L, 2002L, 2004L, 2006L, 2008L, 2010L, 2012L, 2014L, 2015L, 2017L, 2019L, 2021L, 2023L, 2025L, 2027L, 2029L, 2031L, 2033L, 2034L, 2036L, 2038L, 2040L, 2042L, 2044L, 2046L, 2048L, 2050L, 2052L, 2053L, 2055L, 2057L, 2059L, 2061L, 2063L, 2065L, 2067L, 2069L, 2071L, 2072L, 2074L, 2076L, 2078L, 2080L, 2082L, 2084L, 2086L, 2088L, 2090L, 2091L, 2093L, 2095L, 2097L, 2099L, 2101L, 2103L, 2105L, 2107L, 2109L, 2110L, 2112L, 2114L, 2116L, 2118L, 2120L, 2122L, 2124L, 2126L, 2128L, 2129L, 2131L, 2133L, 2135L, 2137L, 2139L, 2141L, 2143L, 2145L, 2147L, 2148L, 2150L, 2152L, 2154L, 2156L, 2158L, 2160L, 2162L, 2164L, 2166L, 2167L, 2169L, 2171L, 2173L, 2175L, 2177L, 2179L, 2181L, 2183L, 2185L, 2186L, 2188L, 2190L, 2192L, 2194L, 2196L, 2198L, 2200L, 2202L, 2204L, 2205L, 2207L, 2209L, 2211L, 2213L, 2215L, 2217L, 2219L, 2221L, 2223L, 2224L, 2226L, 2228L, 2230L, 2232L, 2234L, 2236L, 2238L, 2240L, 2242L, 2243L, 2245L, 2247L, 2249L, 2251L, 2253L, 2255L, 2257L, 2259L, 2261L, 2262L, 2264L, 2266L, 2268L, 2270L, 2272L, 2274L, 2276L, 2278L, 2280L, 2281L, 2283L, 2285L, 2287L, 2289L, 2291L, 2293L, 2295L, 2297L, 2299L, 2300L, 2302L, 2304L, 2306L, 2308L, 2310L, 2312L, 2314L, 2316L, 2318L, 2319L, 2321L, 2323L, 2325L, 2327L, 2329L, 2331L, 2333L, 2335L, 2337L, 2338L, 2340L, 2342L, 2344L, 2346L, 2348L, 2350L, 2352L, 2354L, 2356L, 2357L, 2359L, 2361L, 2363L, 2365L, 2367L, 2369L, 2371L, 2373L, 2375L, 2376L, 2378L, 2380L, 2382L, 2384L, 2386L, 2388L, 2390L, 2392L, 2394L, 2395L, 2397L, 2399L, 2401L, 2403L, 2405L, 2407L, 2409L, 2411L, 2413L, 2414L, 2416L, 2418L, 2420L, 2422L, 2424L, 2426L, 2428L, 2430L, 2432L, 2433L, 2435L, 2437L, 2439L, 2441L, 2443L, 2445L, 2447L, 2449L, 2451L, 2452L, 2454L, 2456L, 2458L, 2460L, 2462L, 2464L, 2466L, 2468L, 2470L, 2471L, 2473L, 2475L, 2477L, 2479L, 2481L, 2483L, 2485L, 2487L, 2489L, 2490L, 2492L, 2494L, 2496L, 2498L, 2500L, 2502L, 2504L, 2506L, 2508L, 2509L, 2511L, 2513L, 2515L, 2517L, 2519L, 2521L, 2523L, 2525L, 2527L, 2528L, 2530L, 2532L, 2534L, 2536L, 2538L, 2540L, 2542L, 2544L, 2546L, 2547L, 2549L, 2551L, 2553L, 2555L, 2557L, 2559L, 2561L, 2563L, 2565L, 2566L, 2568L, 2570L, 2572L, 2574L, 2576L, 2578L, 2580L, 2582L, 2584L, 2585L, 2587L, 2589L, 2591L, 2593L, 2595L, 2597L, 2599L, 2601L, 2603L, 2604L, 2606L, 2608L, 2610L, 2612L, 2614L, 2616L, 2618L, 2620L, 2622L, 2623L, 2625L, 2627L, 2629L, 2631L, 2633L, 2635L, 2637L, 2639L, 2641L, 2642L, 2644L, 2646L, 2648L, 2650L, 2652L, 2654L, 2656L, 2658L, 2660L, 2661L, 2663L, 2665L, 2667L, 2669L, 2671L, 2673L, 2675L, 2677L, 2679L, 2680L, 2682L, 2684L, 2686L, 2688L, 2690L, 2692L, 2694L, 2696L, 2698L, 2699L, 2701L, 2703L, 2705L, 2707L, 2709L, 2711L, 2713L, 2715L, 2717L, 2718L, 2720L, 2722L, 2724L, 2726L, 2728L, 2730L, 2732L, 2734L, 2736L, 2737L, 2739L, 2741L, 2743L, 2745L, 2747L, 2749L, 2751L, 2753L, 2755L, 2756L, 2758L, 2760L, 2762L, 2764L, 2766L, 2768L, 2770L, 2772L, 2774L, 2775L, 2777L, 2779L, 2781L, 2783L, 2785L, 2787L, 2789L, 2791L, 2793L, 2794L, 2796L, 2798L, 2800L, 2802L, 2804L, 2806L, 2808L, 2810L, 2812L, 2813L, 2815L, 2817L, 2819L, 2821L, 2823L, 2825L, 2827L, 2829L, 2831L, 2832L, 2834L, 2836L, 2838L, 2840L, 2842L, 2844L, 2846L, 2848L, 2850L, 2851L, 2853L, 2855L, 2857L, 2859L, 2861L, 2863L, 2865L, 2867L, 2869L, 2870L, 2872L, 2874L, 2876L, 2878L, 2880L, 2882L, 2884L, 2886L, 2888L, 2889L, 2891L, 2893L, 2895L, 2897L, 2899L, 2901L, 2903L, 2905L, 2907L, 2908L, 2910L, 2912L, 2914L, 2916L, 2918L, 2920L, 2922L, 2924L, 2926L, 2927L, 2929L, 2931L, 2933L, 2935L, 2937L, 2939L, 2941L, 2943L, 2945L, 2946L, 2948L, 2950L, 2952L, 2954L, 2956L, 2958L, 2960L, 2962L, 2964L, 2965L, 2967L, 2969L, 2971L, 2973L, 2975L, 2977L, 2979L, 2981L, 2983L, 2984L, 2986L, 2988L, 2990L, 2992L, 2994L, 2996L, 2998L, 3000L, 3002L, 3003L, 3005L, 3007L, 3009L, 3011L, 3013L, 3015L, 3017L, 3019L, 3021L, 3022L, 3024L, 3026L, 3028L, 3030L, 3032L, 3034L, 3036L, 3038L, 3040L, 3041L, 3043L, 3045L, 3047L, 3049L, 3051L, 3053L, 3055L, 3057L, 3059L, 3060L, 3062L, 3064L, 3066L, 3068L, 3070L, 3072L, 3074L, 3076L, 3078L, 3079L, 3081L, 3083L, 3085L, 3087L, 3089L, 3091L, 3093L, 3095L, 3097L, 3098L, 3100L, 3102L, 3104L, 3106L, 3108L, 3110L, 3112L, 3114L, 3116L, 3117L, 3119L, 3121L, 3123L, 3125L, 3127L, 3129L, 3131L, 3133L, 3135L, 3136L, 3138L, 3140L, 3142L, 3144L, 3146L, 3148L, 3150L, 3152L, 3154L, 3155L, 3157L, 3159L, 3161L, 3163L, 3165L, 3167L, 3169L, 3171L, 3173L, 3174L, 3176L, 3178L, 3180L, 3182L, 3184L, 3186L, 3188L, 3190L, 3192L, 3193L, 3195L, 3197L, 3199L, 3201L, 3203L, 3205L, 3207L, 3209L, 3211L, 3212L, 3214L, 3216L, 3218L, 3220L, 3222L, 3224L, 3226L, 3228L, 3230L, 3231L, 3233L, 3235L, 3237L, 3239L, 3241L, 3243L, 3245L, 3247L, 3249L, 3250L, 3252L, 3254L, 3256L, 3258L, 3260L, 3262L, 3264L, 3266L, 3268L, 3269L, 3271L, 3273L, 3275L, 3277L, 3279L, 3281L, 3283L, 3285L, 3287L, 3288L, 3290L, 3292L, 3294L, 3296L, 3298L, 3300L, 3302L, 3304L, 3306L, 3307L, 3309L, 3311L, 3313L, 3315L, 3317L, 3319L, 3321L, 3323L, 3325L, 3326L, 3328L, 3330L, 3332L, 3334L, 3336L, 3338L, 3340L, 3342L, 3344L, 3345L, 3347L, 3349L, 3351L, 3353L, 3355L, 3357L, 3359L, 3361L, 3363L, 3364L, 3366L, 3368L, 3370L, 3372L, 3374L, 3376L, 3378L, 3380L, 3382L, 3383L, 3385L, 3387L, 3389L, 3391L, 3393L, 3395L, 3397L, 3399L, 3401L, 3402L, 3404L, 3406L, 3408L, 3410L, 3412L, 3414L, 3416L, 3418L, 3420L, 3421L, 3423L, 3425L, 3427L, 3429L, 3431L, 3433L, 3435L, 3437L, 3439L, 3440L, 3442L, 3444L, 3446L, 3448L, 3450L, 3452L, 3454L, 3456L, 3458L, 3459L, 3461L, 3463L, 3465L, 3467L, 3469L, 3471L, 3473L, 3475L, 3477L, 3478L, 3480L, 3482L, 3484L, 3486L, 3488L, 3490L, 3492L, 3494L, 3496L, 3497L, 3499L, 3501L, 3503L, 3505L, 3507L, 3509L, 3511L, 3513L, 3515L, 3516L, 3518L, 3520L, 3522L, 3524L, 3526L, 3528L, 3530L, 3532L, 3534L, 3535L, 3537L, 3539L, 3541L, 3543L, 3545L, 3547L, 3549L, 3551L, 3553L, 3554L, 3556L, 3558L, 3560L, 3562L, 3564L, 3566L, 3568L, 3570L, 3572L, 3573L, 3575L, 3577L, 3579L, 3581L, 3583L, 3585L, 3587L, 3589L, 3591L, 3592L, 3594L, 3596L, 3598L, 3600L, 3602L, 3604L, 3606L, 3608L, 3610L, 3611L, 3613L, 3615L, 3617L, 3619L, 3621L, 3623L, 3625L, 3627L, 3629L, 3630L, 3632L, 3634L, 3636L, 3638L, 3640L, 3642L, 3644L, 3646L, 3648L, 3649L, 3651L, 3653L, 3655L, 3657L, 3659L, 3661L, 3663L, 3665L, 3667L, 3668L, 3670L, 3672L, 3674L, 3676L, 3678L, 3680L, 3682L, 3684L, 3686L, 3687L, 3689L, 3691L, 3693L, 3695L, 3697L, 3699L, 3701L, 3703L, 3705L, 3706L, 3708L, 3710L, 3712L, 3714L, 3716L, 3718L, 3720L, 3722L, 3724L, 3725L, 3727L, 3729L, 3731L, 3733L, 3735L, 3737L, 3739L, 3741L, 3743L, 3744L, 3746L, 3748L, 3750L, 3752L, 3754L, 3756L, 3758L, 3760L, 3762L, 3763L, 3765L, 3767L, 3769L, 3771L, 3773L, 3775L, 3777L, 3779L, 3781L, 3782L, 3784L, 3786L, 3788L, 3790L, 3792L, 3794L, 3796L, 3798L, 3800L), Dim = c(400L, 2000L), Dimnames = list(c("1", "1", "2", "2", "3", "3", "4", "4", "5", "5", "6", "6", "7", "7", "8", "8", "9", "9", "10", "10", "11", "11", "12", "12", "13", "13", "14", "14", "15", "15", "16", "16", "17", "17", "18", "18", "19", "19", "20", "20", "21", "21", "22", "22", "23", "23", "24", "24", "25", "25", "26", "26", "27", "27", "28", "28", "29", "29", "30", "30", "31", "31", "32", "32", "33", "33", "34", "34", "35", "35", "36", "36", "37", "37", "38", "38", "39", "39", "40", "40", "41", "41", "42", "42", "43", "43", "44", "44", "45", "45", "46", "46", "47", "47", "48", "48", "49", "49", "50", "50", "51", "51", "52", "52", "53", "53", "54", "54", "55", "55", "56", "56", "57", "57", "58", "58", "59", "59", "60", "60", "61", "61", "62", "62", "63", "63", "64", "64", "65", "65", "66", "66", "67", "67", "68", "68", "69", "69", "70", "70", "71", "71", "72", "72", "73", "73", "74", "74", "75", "75", "76", "76", "77", "77", "78", "78", "79", "79", "80", "80", "81", "81", "82", "82", "83", "83", "84", "84", "85", "85", "86", "86", "87", "87", "88", "88", "89", "89", "90", "90", "91", "91", "92", "92", "93", "93", "94", "94", "95", "95", "96", "96", "97", "97", "98", "98", "99", "99", "100", "100", "101", "101", "102", "102", "103", "103", "104", "104", "105", "105", "106", "106", "107", "107", "108", "108", "109", "109", "110", "110", "111", "111", "112", "112", "113", "113", "114", "114", "115", "115", "116", "116", "117", "117", "118", "118", "119", "119", "120", "120", "121", "121", "122", "122", "123", "123", "124", "124", "125", "125", "126", "126", "127", "127", "128", "128", "129", "129", "130", "130", "131", "131", "132", "132", "133", "133", "134", "134", "135", "135", "136", "136", "137", "137", "138", "138", "139", "139", "140", "140", "141", "141", "142", "142", "143", "143", "144", "144", "145", "145", "146", "146", "147", "147", "148", "148", "149", "149", "150", "150", "151", "151", "152", "152", "153", "153", "154", "154", "155", "155", "156", "156", "157", "157", "158", "158", "159", "159", "160", "160", "161", "161", "162", "162", "163", "163", "164", "164", "165", "165", "166", "166", "167", "167", "168", "168", "169", "169", "170", "170", "171", "171", "172", "172", "173", "173", "174", "174", "175", "175", "176", "176", "177", "177", "178", "178", "179", "179", "180", "180", "181", "181", "182", "182", "183", "183", "184", "184", "185", "185", "186", "186", "187", "187", "188", "188", "189", "189", "190", "190", "191", "191", "192", "192", "193", "193", "194", "194", "195", "195", "196", "196", "197", "197", "198", "198", "199", "199", "200", "200"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180", "181", "182", "183", "184", "185", "186", "187", "188", "189", "190", "191", "192", "193", "194", "195", "196", "197", "198", "199", "200", "201", "202", "203", "204", "205", "206", "207", "208", "209", "210", "211", "212", "213", "214", "215", "216", "217", "218", "219", "220", "221", "222", "223", "224", "225", "226", "227", "228", "229", "230", "231", "232", "233", "234", "235", "236", "237", "238", "239", "240", "241", "242", "243", "244", "245", "246", "247", "248", "249", "250", "251", "252", "253", "254", "255", "256", "257", "258", "259", "260", "261", "262", "263", "264", "265", "266", "267", "268", "269", "270", "271", "272", "273", "274", "275", "276", "277", "278", "279", "280", "281", "282", "283", "284", "285", "286", "287", "288", "289", "290", "291", "292", "293", "294", "295", "296", "297", "298", "299", "300", "301", "302", "303", "304", "305", "306", "307", "308", "309", "310", "311", "312", "313", "314", "315", "316", "317", "318", "319", "320", "321", "322", "323", "324", "325", "326", "327", "328", "329", "330", "331", "332", "333", "334", "335", "336", "337", "338", "339", "340", "341", "342", "343", "344", "345", "346", "347", "348", "349", "350", "351", "352", "353", "354", "355", "356", "357", "358", "359", "360", "361", "362", "363", "364", "365", "366", "367", "368", "369", "370", "371", "372", "373", "374", "375", "376", "377", "378", "379", "380", "381", "382", "383", "384", "385", "386", "387", "388", "389", "390", "391", "392", "393", "394", "395", "396", "397", "398", "399", "400", "401", "402", "403", "404", "405", "406", "407", "408", "409", "410", "411", "412", "413", "414", "415", "416", "417", "418", "419", "420", "421", "422", "423", "424", "425", "426", "427", "428", "429", "430", "431", "432", "433", "434", "435", "436", "437", "438", "439", "440", "441", "442", "443", "444", "445", "446", "447", "448", "449", "450", "451", "452", "453", "454", "455", "456", "457", "458", "459", "460", "461", "462", "463", "464", "465", "466", "467", "468", "469", "470", "471", "472", "473", "474", "475", "476", "477", "478", "479", "480", "481", "482", "483", "484", "485", "486", "487", "488", "489", "490", "491", "492", "493", "494", "495", "496", "497", "498", "499", "500", "501", "502", "503", "504", "505", "506", "507", "508", "509", "510", "511", "512", "513", "514", "515", "516", "517", "518", "519", "520", "521", "522", "523", "524", "525", "526", "527", "528", "529", "530", "531", "532", "533", "534", "535", "536", "537", "538", "539", "540", "541", "542", "543", "544", "545", "546", "547", "548", "549", "550", "551", "552", "553", "554", "555", "556", "557", "558", "559", "560", "561", "562", "563", "564", "565", "566", "567", "568", "569", "570", "571", "572", "573", "574", "575", "576", "577", "578", "579", "580", "581", "582", "583", "584", "585", "586", "587", "588", "589", "590", "591", "592", "593", "594", "595", "596", "597", "598", "599", "600", "601", "602", "603", "604", "605", "606", "607", "608", "609", "610", "611", "612", "613", "614", "615", "616", "617", "618", "619", "620", "621", "622", "623", "624", "625", "626", "627", "628", "629", "630", "631", "632", "633", "634", "635", "636", "637", "638", "639", "640", "641", "642", "643", "644", "645", "646", "647", "648", "649", "650", "651", "652", "653", "654", "655", "656", "657", "658", "659", "660", "661", "662", "663", "664", "665", "666", "667", "668", "669", "670", "671", "672", "673", "674", "675", "676", "677", "678", "679", "680", "681", "682", "683", "684", "685", "686", "687", "688", "689", "690", "691", "692", "693", "694", "695", "696", "697", "698", "699", "700", "701", "702", "703", "704", "705", "706", "707", "708", "709", "710", "711", "712", "713", "714", "715", "716", "717", "718", "719", "720", "721", "722", "723", "724", "725", "726", "727", "728", "729", "730", "731", "732", "733", "734", "735", "736", "737", "738", "739", "740", "741", "742", "743", "744", "745", "746", "747", "748", "749", "750", "751", "752", "753", "754", "755", "756", "757", "758", "759", "760", "761", "762", "763", "764", "765", "766", "767", "768", "769", "770", "771", "772", "773", "774", "775", "776", "777", "778", "779", "780", "781", "782", "783", "784", "785", "786", "787", "788", "789", "790", "791", "792", "793", "794", "795", "796", "797", "798", "799", "800", "801", "802", "803", "804", "805", "806", "807", "808", "809", "810", "811", "812", "813", "814", "815", "816", "817", "818", "819", "820", "821", "822", "823", "824", "825", "826", "827", "828", "829", "830", "831", "832", "833", "834", "835", "836", "837", "838", "839", "840", "841", "842", "843", "844", "845", "846", "847", "848", "849", "850", "851", "852", "853", "854", "855", "856", "857", "858", "859", "860", "861", "862", "863", "864", "865", "866", "867", "868", "869", "870", "871", "872", "873", "874", "875", "876", "877", "878", "879", "880", "881", "882", "883", "884", "885", "886", "887", "888", "889", "890", "891", "892", "893", "894", "895", "896", "897", "898", "899", "900", "901", "902", "903", "904", "905", "906", "907", "908", "909", "910", "911", "912", "913", "914", "915", "916", "917", "918", "919", "920", "921", "922", "923", "924", "925", "926", "927", "928", "929", "930", "931", "932", "933", "934", "935", "936", "937", "938", "939", "940", "941", "942", "943", "944", "945", "946", "947", "948", "949", "950", "951", "952", "953", "954", "955", "956", "957", "958", "959", "960", "961", "962", "963", "964", "965", "966", "967", "968", "969", "970", "971", "972", "973", "974", "975", "976", "977", "978", "979", "980", "981", "982", "983", "984", "985", "986", "987", "988", "989", "990", "991", "992", "993", "994", "995", "996", "997", "998", "999", "1000", "1001", "1002", "1003", "1004", "1005", "1006", "1007", "1008", "1009", "1010", "1011", "1012", "1013", "1014", "1015", "1016", "1017", "1018", "1019", "1020", "1021", "1022", "1023", "1024", "1025", "1026", "1027", "1028", "1029", "1030", "1031", "1032", "1033", "1034", "1035", "1036", "1037", "1038", "1039", "1040", "1041", "1042", "1043", "1044", "1045", "1046", "1047", "1048", "1049", "1050", "1051", "1052", "1053", "1054", "1055", "1056", "1057", "1058", "1059", "1060", "1061", "1062", "1063", "1064", "1065", "1066", "1067", "1068", "1069", "1070", "1071", "1072", "1073", "1074", "1075", "1076", "1077", "1078", "1079", "1080", "1081", "1082", "1083", "1084", "1085", "1086", "1087", "1088", "1089", "1090", "1091", "1092", "1093", "1094", "1095", "1096", "1097", "1098", "1099", "1100", "1101", "1102", "1103", "1104", "1105", "1106", "1107", "1108", "1109", "1110", "1111", "1112", "1113", "1114", "1115", "1116", "1117", "1118", "1119", "1120", "1121", "1122", "1123", "1124", "1125", "1126", "1127", "1128", "1129", "1130", "1131", "1132", "1133", "1134", "1135", "1136", "1137", "1138", "1139", "1140", "1141", "1142", "1143", "1144", "1145", "1146", "1147", "1148", "1149", "1150", "1151", "1152", "1153", "1154", "1155", "1156", "1157", "1158", "1159", "1160", "1161", "1162", "1163", "1164", "1165", "1166", "1167", "1168", "1169", "1170", "1171", "1172", "1173", "1174", "1175", "1176", "1177", "1178", "1179", "1180", "1181", "1182", "1183", "1184", "1185", "1186", "1187", "1188", "1189", "1190", "1191", "1192", "1193", "1194", "1195", "1196", "1197", "1198", "1199", "1200", "1201", "1202", "1203", "1204", "1205", "1206", "1207", "1208", "1209", "1210", "1211", "1212", "1213", "1214", "1215", "1216", "1217", "1218", "1219", "1220", "1221", "1222", "1223", "1224", "1225", "1226", "1227", "1228", "1229", "1230", "1231", "1232", "1233", "1234", "1235", "1236", "1237", "1238", "1239", "1240", "1241", "1242", "1243", "1244", "1245", "1246", "1247", "1248", "1249", "1250", "1251", "1252", "1253", "1254", "1255", "1256", "1257", "1258", "1259", "1260", "1261", "1262", "1263", "1264", "1265", "1266", "1267", "1268", "1269", "1270", "1271", "1272", "1273", "1274", "1275", "1276", "1277", "1278", "1279", "1280", "1281", "1282", "1283", "1284", "1285", "1286", "1287", "1288", "1289", "1290", "1291", "1292", "1293", "1294", "1295", "1296", "1297", "1298", "1299", "1300", "1301", "1302", "1303", "1304", "1305", "1306", "1307", "1308", "1309", "1310", "1311", "1312", "1313", "1314", "1315", "1316", "1317", "1318", "1319", "1320", "1321", "1322", "1323", "1324", "1325", "1326", "1327", "1328", "1329", "1330", "1331", "1332", "1333", "1334", "1335", "1336", "1337", "1338", "1339", "1340", "1341", "1342", "1343", "1344", "1345", "1346", "1347", "1348", "1349", "1350", "1351", "1352", "1353", "1354", "1355", "1356", "1357", "1358", "1359", "1360", "1361", "1362", "1363", "1364", "1365", "1366", "1367", "1368", "1369", "1370", "1371", "1372", "1373", "1374", "1375", "1376", "1377", "1378", "1379", "1380", "1381", "1382", "1383", "1384", "1385", "1386", "1387", "1388", "1389", "1390", "1391", "1392", "1393", "1394", "1395", "1396", "1397", "1398", "1399", "1400", "1401", "1402", "1403", "1404", "1405", "1406", "1407", "1408", "1409", "1410", "1411", "1412", "1413", "1414", "1415", "1416", "1417", "1418", "1419", "1420", "1421", "1422", "1423", "1424", "1425", "1426", "1427", "1428", "1429", "1430", "1431", "1432", "1433", "1434", "1435", "1436", "1437", "1438", "1439", "1440", "1441", "1442", "1443", "1444", "1445", "1446", "1447", "1448", "1449", "1450", "1451", "1452", "1453", "1454", "1455", "1456", "1457", "1458", "1459", "1460", "1461", "1462", "1463", "1464", "1465", "1466", "1467", "1468", "1469", "1470", "1471", "1472", "1473", "1474", "1475", "1476", "1477", "1478", "1479", "1480", "1481", "1482", "1483", "1484", "1485", "1486", "1487", "1488", "1489", "1490", "1491", "1492", "1493", "1494", "1495", "1496", "1497", "1498", "1499", "1500", "1501", "1502", "1503", "1504", "1505", "1506", "1507", "1508", "1509", "1510", "1511", "1512", "1513", "1514", "1515", "1516", "1517", "1518", "1519", "1520", "1521", "1522", "1523", "1524", "1525", "1526", "1527", "1528", "1529", "1530", "1531", "1532", "1533", "1534", "1535", "1536", "1537", "1538", "1539", "1540", "1541", "1542", "1543", "1544", "1545", "1546", "1547", "1548", "1549", "1550", "1551", "1552", "1553", "1554", "1555", "1556", "1557", "1558", "1559", "1560", "1561", "1562", "1563", "1564", "1565", "1566", "1567", "1568", "1569", "1570", "1571", "1572", "1573", "1574", "1575", "1576", "1577", "1578", "1579", "1580", "1581", "1582", "1583", "1584", "1585", "1586", "1587", "1588", "1589", "1590", "1591", "1592", "1593", "1594", "1595", "1596", "1597", "1598", "1599", "1600", "1601", "1602", "1603", "1604", "1605", "1606", "1607", "1608", "1609", "1610", "1611", "1612", "1613", "1614", "1615", "1616", "1617", "1618", "1619", "1620", "1621", "1622", "1623", "1624", "1625", "1626", "1627", "1628", "1629", "1630", "1631", "1632", "1633", "1634", "1635", "1636", "1637", "1638", "1639", "1640", "1641", "1642", "1643", "1644", "1645", "1646", "1647", "1648", "1649", "1650", "1651", "1652", "1653", "1654", "1655", "1656", "1657", "1658", "1659", "1660", "1661", "1662", "1663", "1664", "1665", "1666", "1667", "1668", "1669", "1670", "1671", "1672", "1673", "1674", "1675", "1676", "1677", "1678", "1679", "1680", "1681", "1682", "1683", "1684", "1685", "1686", "1687", "1688", "1689", "1690", "1691", "1692", "1693", "1694", "1695", "1696", "1697", "1698", "1699", "1700", "1701", "1702", "1703", "1704", "1705", "1706", "1707", "1708", "1709", "1710", "1711", "1712", "1713", "1714", "1715", "1716", "1717", "1718", "1719", "1720", "1721", "1722", "1723", "1724", "1725", "1726", "1727", "1728", "1729", "1730", "1731", "1732", "1733", "1734", "1735", "1736", "1737", "1738", "1739", "1740", "1741", "1742", "1743", "1744", "1745", "1746", "1747", "1748", "1749", "1750", "1751", "1752", "1753", "1754", "1755", "1756", "1757", "1758", "1759", "1760", "1761", "1762", "1763", "1764", "1765", "1766", "1767", "1768", "1769", "1770", "1771", "1772", "1773", "1774", "1775", "1776", "1777", "1778", "1779", "1780", "1781", "1782", "1783", "1784", "1785", "1786", "1787", "1788", "1789", "1790", "1791", "1792", "1793", "1794", "1795", "1796", "1797", "1798", "1799", "1800", "1801", "1802", "1803", "1804", "1805", "1806", "1807", "1808", "1809", "1810", "1811", "1812", "1813", "1814", "1815", "1816", "1817", "1818", "1819", "1820", "1821", "1822", "1823", "1824", "1825", "1826", "1827", "1828", "1829", "1830", "1831", "1832", "1833", "1834", "1835", "1836", "1837", "1838", "1839", "1840", "1841", "1842", "1843", "1844", "1845", "1846", "1847", "1848", "1849", "1850", "1851", "1852", "1853", "1854", "1855", "1856", "1857", "1858", "1859", "1860", "1861", "1862", "1863", "1864", "1865", "1866", "1867", "1868", "1869", "1870", "1871", "1872", "1873", "1874", "1875", "1876", "1877", "1878", "1879", "1880", "1881", "1882", "1883", "1884", "1885", "1886", "1887", "1888", "1889", "1890", "1891", "1892", "1893", "1894", "1895", "1896", "1897", "1898", "1899", "1900", "1901", "1902", "1903", "1904", "1905", "1906", "1907", "1908", "1909", "1910", "1911", "1912", "1913", "1914", "1915", "1916", "1917", "1918", "1919", "1920", "1921", "1922", "1923", "1924", "1925", "1926", "1927", "1928", "1929", "1930", "1931", "1932", "1933", "1934", "1935", "1936", "1937", "1938", "1939", "1940", "1941", "1942", "1943", "1944", "1945", "1946", "1947", "1948", "1949", "1950", "1951", "1952", "1953", "1954", "1955", "1956", "1957", "1958", "1959", "1960", "1961", "1962", "1963", "1964", "1965", "1966", "1967", "1968", "1969", "1970", "1971", "1972", "1973", "1974", "1975", "1976", "1977", "1978", "1979", "1980", "1981", "1982", "1983", "1984", "1985", "1986", "1987", "1988", "1989", "1990", "1991", "1992", "1993", "1994", "1995", "1996", "1997", "1998", "1999", "2000")), x = c(1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2, 1, 1, 0.222222222222222, 1, 0.444444444444444, 1, 0.666666666666667, 1, 0.888888888888889, 1, 1.11111111111111, 1, 1.33333333333333, 1, 1.55555555555556, 1, 1.77777777777778, 1, 2), factors = list())), nl = c(Id = 200L)), REML = TRUE, wmsgs = character(0), start = NULL, verbose = FALSE, control = list(optimizer = "nloptwrap", restart_edge = TRUE, boundary.tol = 1e-05, calc.derivs = TRUE, use.last.params = FALSE, checkControl = list(check.nobs.vs.rankZ = "ignore", check.nobs.vs.nlev = "stop", check.nlev.gtreq.5 = "ignore", check.nlev.gtr.1 = "stop", check.nobs.vs.nRE = "stop", check.rankX = "message+drop.cols", check.scaleX = "warning", check.formula.LHS = "stop"), checkConv = list(check.conv.grad = list(action = "warning", tol = 0.002, relTol = NULL), check.conv.singular = list( action = "message", tol = 1e-04), check.conv.hess = list( action = "warning", tol = 1e-06)), optCtrl = list())) 10: do.call(mkLmerDevfun, c(lmod, list(start = start, verbose = verbose, control = control))) 11: lme4::lmer(formula = method$formula, data = data, REML = method$REML, control = method$control, verbose = canShow(verbose, "fine")) 12: .local(method, data, verbose, ...) 13: prepareData(method = cmethod, data = modelData, verbose = verbose) 14: prepareData(method = cmethod, data = modelData, verbose = verbose) 15: latrend(method, latrendData) An irrecoverable exception occurred. R is aborting now ... * checking for unstated dependencies in 'tests' ... OK * checking tests ... Running 'testthat.R'/home/th798/R/R-release/bin/BATCH: line 60: 4074203 Segmentation fault (core dumped) ${R_HOME}/bin/R -f ${in} ${opts} ${R_BATCH_OPTIONS} > ${out} 2>&1 ERROR Running the tests in 'tests/testthat.R' failed. Complete output: > library(testthat) > library(latrend) > > test_check('latrend') *** caught segfault *** address (nil), cause 'unknown' Traceback: 1: .Call(merPredDCreate, as(X, "matrix"), Lambdat, LamtUt, Lind, RZX, Ut, Utr, V, VtV, Vtr, Xwts, Zt, beta0, delb, delu, theta, u0) 2: initializePtr() 3: .Object$initialize(...) 4: initialize(value, ...) 5: initialize(value, ...) 6: methods::new(def, ...) 7: (new("refMethodDef", .Data = function (...) { methods::new(def, ...)}, mayCall = c("methods", "new"), name = "new", refClassName = "refGeneratorSlot", superClassMethod = ""))(Zt = new("dgCMatrix", i = c(0L, 0L, ... 8: do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) 9: (function (fr, X, reTrms, REML = TRUE, start = NULL, verbose = 0, control = lmerControl(), ...) { p <- ncol(X) rho <- new.env(parent = parent.env(environment())) ... 10: do.call(mkLmerDevfun, c(lmod, list(start = start, verbose = verbose, control = control))) 11: lme4::lmer(formula = method$formula, data = data, REML = method$REML, control = method$control, verbose = canShow(verbose, "fine")) 12: .local(method, data, verbose, ...) 13: prepareData(method = cmethod, data = modelData, verbose = verbose) 14: prepareData(method = cmethod, data = modelData, verbose = verbose) 15: latrend(m, data = testData) 16: eval(exprs[i], envir) 17: eval(exprs[i], envir) 18: sys.source(file, envir = env) 19: eval(quoted_code, env) 20: eval(quoted_code, env) 21: withCallingHandlers(eval(quoted_code, env), error = capture_calls) 22: doTryCatch(return(expr), name, parentenv, handler) 23: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 24: tryCatchList(expr, classes, parentenv, handlers) 25: tryCatch(withCallingHandlers(eval(quoted_code, env), error = capture_calls), error = identity) 26: evaluate::try_capture_stack(quote(sys.source(file, envir = env)), evalEnv) 27: test.latrend("lcMethodGCKM", instantiator = make.gckm, tests = tests) 28: eval_bare(expr, quo_get_env(quo)) 29: quasi_label(enquo(object), label, arg = "object") 30: expect_true({ test.latrend("lcMethodGCKM", instantiator = make.gckm, tests = tests)}) 31: eval(code, test_env) 32: eval(code, test_env) 33: withCallingHandlers({ eval(code, test_env) if (!handled && !is.null(test)) { skip_empty() } ... 34: doTryCatch(return(expr), name, parentenv, handler) 35: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 36: tryCatchList(expr, names[-nh], parentenv, handlers[-nh]) 37: doTryCatch(return(expr), name, parentenv, handler) 38: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), names[nh], parentenv, handlers[[nh]]) 39: tryCatchList(expr, classes, parentenv, handlers) 40: tryCatch(withCallingHandlers({ eval(code, test_env) if (!handled && !is.null(test)) { skip_empty() } ... 41: test_code(desc, code, env = parent.frame(), default_reporter = local_interactive_reporter()) 42: test_that("gckm", { expect_true({ test.latrend("lcMethodGCKM", instantiator = make.gckm, tests = tests) }) ... 43: eval(code, test_env) 44: eval(code, test_env) 45: withCallingHandlers({ eval(code, test_env) if (!handled && !is.null(test)) { skip_empty() } ... 46: doTryCatch(return(expr), name, parentenv, handler) 47: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 48: tryCatchList(expr, names[-nh], parentenv, handlers[-nh]) 49: doTryCatch(return(expr), name, parentenv, handler) 50: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), names[nh], parentenv, handlers[[nh]]) 51: tryCatchList(expr, classes, parentenv, handlers) 52: tryCatch(withCallingHandlers({ eval(code, test_env) if (!handled && !is.null(test)) { skip_empty() } ... 53: test_code(test = NULL, code = exprs, env = env, default_reporter = StopReporter$new()) 54: source_file(path, env = env(env), desc = desc, error_call = error_call) 55: FUN(X[[i]], ...) 56: lapply(test_paths, test_one_file, env = env, desc = desc, error_call = error_call) 57: doTryCatch(return(expr), name, parentenv, handler) 58: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 59: tryCatchList(expr, classes, parentenv, handlers) 60: tryCatch(code, testthat_abort_reporter = function(cnd) { cat(conditionMessage(cnd), "\n") NULL}) 61: with_reporter(reporters$multi, lapply(test_paths, test_one_file, env = env, desc = desc, error_call = error_call)) 62: test_files_serial(test_dir = test_dir, test_package = test_package, test_paths = test_paths, load_helpers = load_helpers, reporter = reporter, env = env, stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, desc = desc, load_package = load_package, error_call = error_call) 63: test_files(test_dir = path, test_paths = test_paths, test_package = package, reporter = reporter, load_helpers = load_helpers, env = env, stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, load_package = load_package, parallel = parallel) 64: test_dir("testthat", package = package, reporter = reporter, ..., load_package = "installed") 65: test_check("latrend") An irrecoverable exception occurred. R is aborting now ... * checking for unstated dependencies in vignettes ... OK * checking package vignettes ... OK * checking re-building of vignette outputs ... ERROR Error(s) in re-building vignettes: --- re-building 'demo.Rmd' using rmarkdown --------------------------------------------------------------------------- - Longitudinal clustering using: longitudinal k-means (KML) --------------------------------------------------------------------------- Method arguments: time: getOption("latrend.time") id: getOption("latrend.id") nClusters: 2 nbRedrawing: 1 maxIt: 200 imputationMethod:"copyMean" distanceName: "euclidean" power: 2 distance: function() {} centerMethod: meanNA startingCond: "nearlyAll" nbCriterion: 1000 scale: TRUE response: "Y" --------------------------------------------------------------------------- Checking and transforming the training data format. Preparing the training data for fitting... Fitting the method... Done fitting the method (0.39 secs) --------------------------------------------------------------------------- --- finished re-building 'demo.Rmd' --- re-building 'implement.Rmd' using rmarkdown --------------------------------------------------------------------------- - Longitudinal clustering using: stratify --------------------------------------------------------------------------- Method arguments: center: meanNA nClusters: NaN clusterNames: NULL time: getOption("latrend.time") id: getOption("latrend.id") name: "stratify" response: "Y" stratify: Y[1] > 1.6 --------------------------------------------------------------------------- Checking and transforming the training data format. Preparing the training data for fitting... Fitting the method... Done fitting the method (0.024 secs) --------------------------------------------------------------------------- --------------------------------------------------------------------------- - Longitudinal clustering using: stratify --------------------------------------------------------------------------- Method arguments: center: mean nClusters: NaN clusterNames: NULL time: getOption("latrend.time") id: getOption("latrend.id") name: "stratify" response: "Y" stratify: stratfun --------------------------------------------------------------------------- Checking and transforming the training data format. Preparing the training data for fitting... Fitting the method... Done fitting the method (0.18 secs) --------------------------------------------------------------------------- --------------------------------------------------------------------------- - Longitudinal clustering using: stratify --------------------------------------------------------------------------- Method arguments: center: meanNA nClusters: NaN clusterNames: c("Low", "High") time: getOption("latrend.time") id: getOption("latrend.id") name: "stratify" response: "Y" stratify: Intercept[1] > 1.7 --------------------------------------------------------------------------- Checking and transforming the training data format. Preparing the training data for fitting... Fitting the method... Done fitting the method (0.016 secs) --------------------------------------------------------------------------- --------------------------------------------------------------------------- - Longitudinal clustering using: two-step clustering --------------------------------------------------------------------------- Method arguments: standardize: scale center: meanNA time: getOption("latrend.time") id: getOption("latrend.id") response: "Y" representationStep:repStep clusterStep: clusStep --------------------------------------------------------------------------- Checking and transforming the training data format. Preparing the training data for fitting... Fitting the method... Done fitting the method (0.17 secs) --------------------------------------------------------------------------- --------------------------------------------------------------------------- - Longitudinal clustering using: two-step clustering --------------------------------------------------------------------------- Method arguments: nClusters: 2 formula: Y ~ Time standardize: scale center: meanNA time: getOption("latrend.time") id: getOption("latrend.id") response: "Y" representationStep:repStep.gen clusterStep: clusStep.gen --------------------------------------------------------------------------- Checking and transforming the training data format. Preparing the training data for fitting... Fitting the method... Done fitting the method (0.22 secs) --------------------------------------------------------------------------- --- finished re-building 'implement.Rmd' sh: line 1: 4080208 Segmentation fault (core dumped) '/home/th798/R/R-release/bin/R' --vanilla --no-echo > '/tmp/th798/16170037/RtmpDghMS7/file3e37374e2a8e7e' 2>&1 < '/tmp/th798/16170037/RtmpDghMS7/file3e373730844995' --- re-building 'simulation.Rmd' using rmarkdown *** caught segfault *** address (nil), cause 'unknown' Traceback: 1: .Call(merPredDCreate, as(X, "matrix"), Lambdat, LamtUt, Lind, RZX, Ut, Utr, V, VtV, Vtr, Xwts, Zt, beta0, delb, delu, theta, u0) 2: initializePtr() 3: .Object$initialize(...) 4: initialize(value, ...) 5: initialize(value, ...) 6: methods::new(def, ...) 7: (new("refMethodDef", .Data = function (...) { methods::new(def, ...)}, mayCall = c("methods", "new"), name = "new", refClassName = "refGeneratorSlot", superClassMethod = ""))(Zt = new("dgCMatrix", i = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L), p = 0:550, Dim = c(50L, 550L), Dimnames = list(c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180", "181", "182", "183", "184", "185", "186", "187", "188", "189", "190", "191", "192", "193", "194", "195", "196", "197", "198", "199", "200", "201", "202", "203", "204", "205", "206", "207", "208", "209", "210", "211", "212", "213", "214", "215", "216", "217", "218", "219", "220", "221", "222", "223", "224", "225", "226", "227", "228", "229", "230", "231", "232", "233", "234", "235", "236", "237", "238", "239", "240", "241", "242", "243", "244", "245", "246", "247", "248", "249", "250", "251", "252", "253", "254", "255", "256", "257", "258", "259", "260", "261", "262", "263", "264", "265", "266", "267", "268", "269", "270", "271", "272", "273", "274", "275", "276", "277", "278", "279", "280", "281", "282", "283", "284", "285", "286", "287", "288", "289", "290", "291", "292", "293", "294", "295", "296", "297", "298", "299", "300", "301", "302", "303", "304", "305", "306", "307", "308", "309", "310", "311", "312", "313", "314", "315", "316", "317", "318", "319", "320", "321", "322", "323", "324", "325", "326", "327", "328", "329", "330", "331", "332", "333", "334", "335", "336", "337", "338", "339", "340", "341", "342", "343", "344", "345", "346", "347", "348", "349", "350", "351", "352", "353", "354", "355", "356", "357", "358", "359", "360", "361", "362", "363", "364", "365", "366", "367", "368", "369", "370", "371", "372", "373", "374", "375", "376", "377", "378", "379", "380", "381", "382", "383", "384", "385", "386", "387", "388", "389", "390", "391", "392", "393", "394", "395", "396", "397", "398", "399", "400", "401", "402", "403", "404", "405", "406", "407", "408", "409", "410", "411", "412", "413", "414", "415", "416", "417", "418", "419", "420", "421", "422", "423", "424", "425", "426", "427", "428", "429", "430", "431", "432", "433", "434", "435", "436", "437", "438", "439", "440", "441", "442", "443", "444", "445", "446", "447", "448", "449", "450", "451", "452", "453", "454", "455", "456", "457", "458", "459", "460", "461", "462", "463", "464", "465", "466", "467", "468", "469", "470", "471", "472", "473", "474", "475", "476", "477", "478", "479", "480", "481", "482", "483", "484", "485", "486", "487", "488", "489", "490", "491", "492", "493", "494", "495", "496", "497", "498", "499", "500", "501", "502", "503", "504", "505", "506", "507", "508", "509", "510", "511", "512", "513", "514", "515", "516", "517", "518", "519", "520", "521", "522", "523", "524", "525", "526", "527", "528", "529", "530", "531", "532", "533", "534", "535", "536", "537", "538", "539", "540", "541", "542", "543", "544", "545", "546", "547", "548", "549", "550")), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), theta = 1, Lambdat = new("dgCMatrix", i = 0:49, p = 0:50, Dim = c(50L, 50L), Dimnames = list(NULL, NULL), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), Lind = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), n = 550L, X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1)) 8: do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) 9: (function (fr, X, reTrms, REML = TRUE, start = NULL, verbose = 0, control = lmerControl(), ...) { p <- ncol(X) rho <- new.env(parent = parent.env(environment())) rho$pp <- do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) REMLpass <- if (REML) p else 0L rho$resp <- if (missing(fr)) mkRespMod(REML = REMLpass, ...) else mkRespMod(fr, REML = REMLpass) pp <- resp <- NULL rho$lmer_Deviance <- lmer_Deviance devfun <- function(theta) .Call(lmer_Deviance, pp$ptr(), resp$ptr(), as.double(theta)) environment(devfun) <- rho if (is.null(start) && all(reTrms$cnms == "(Intercept)") && length(reTrms$flist) == length(reTrms$lower) && !is.null(y <- model.response(fr))) { v <- sapply(reTrms$flist, function(f) var(ave(y, f))) v.e <- var(y) - sum(v) if (!is.na(v.e) && v.e > 0) { v.rel <- v/v.e if (all(v.rel >= reTrms$lower^2)) rho$pp$setTheta(sqrt(v.rel)) } } if (length(rho$resp$y) > 0) devfun(rho$pp$theta) rho$lower <- reTrms$lower devfun})(fr = list(Y = c(-0.0228347930375264, -0.12384802039931, -0.0285334119317908, -0.175581690682312, 0.0806569890958704, 0.135394608776353, -0.0993675287208841, -0.167058843705886, -0.00567341832999195, -0.0761508414623157, 0.177516394976244, 0.0144403321488913, 0.0873382686672859, 0.0211645483002748, -0.0559629884660323, 0.0372435623736425, -0.162131530466896, 0.164919818578497, 0.033689666243398, 0.235625499458424, 0.0659152853121745, -0.0526303106699732, -0.0224902258920992, -0.17697262440543, -0.208926201264915, -0.0544182376892584, -0.127892048562848, -0.0834523260778423, -0.0761287288258383, -0.142514955859812, -0.140429734522855, -0.0970807227533879, 0.0342458384163157, 0.00717140017080298, 0.218922698976621, 0.192823117335131, 0.265838063941415, 0.129109687850349, 0.196529961205408, 0.186237959291002, 0.105276077114614, 0.280314860812096, 0.275568341783274, 0.229549445165279, 0.191634122635621, 0.0887994197380664, -0.0947084436642676, -0.0243757642421526, -0.0895104843082995, -0.0143892864623951, -0.0290858905408764, 0.0371623644959596, -0.0581413876737085, 0.0487536544219435, -0.0325076872103457, 0.0946818885254631, -0.010376090810081, 0.00897058453772119, -0.0436283026291671, 0.0861707696401403, -0.145620483806699, -0.128211311447858, 0.0611813854423648, -0.147116473742838, -0.102784912771998, -0.121327631356, 0.0167436183879978, 0.0208315749451926, 0.0981617383696312, 0.0310098570158879, -0.00185284096857721, 0.18304678775989, 0.0272849643881617, 0.0307872522385098, 0.0387238311214923, 0.120009535947989, 0.0413864648302159, 0.0700690533662169, 0.00566642263735603, 0.0414054432882898, 0.0798485145563732, 0.0149430218869554, 0.126982089776179, -0.078006937665757, 0.104488256591898, -0.0798125118408369, 0.0437348578292607, 0.0210044800684211, -0.00763134290275065, 0.05188845738061, -0.133857807402652, 0.175236466367205, -0.108919108455851, 0.0112250950181107, -0.0540138753389353, -0.0175037649539956, 0.266294789728184, 0.0593176971346744, -0.0710519178780833, -0.194599392157493, 0.01447987141163, -0.0323948219870994, -0.06234567617002, -0.123475053461006, -0.179284869729784, -0.138058068377204, 0.0694640416557558, -0.0926655081953179, -0.168981523454085, 0.156390223526722, 0.19368815458233, 0.127313406753782, 0.257026421715987, 0.239820381982578, 0.0892538120219701, 0.371788363299132, 0.125675413830983, 0.00872865182380397, 0.136738156649663, 0.171931950768319, 0.381975956751021, 0.0495645604305143, 0.0846842041834845, 0.03126903010549, 0.00558423940448866, 0.0355117208100155, 0.117748284204159, 0.246508824506372, 0.14172356751752, 0.159775163479814, -0.0841480185146613, 0.137373880646481, -0.0401315776881152, -0.208849060963405, -0.0100217837893665, -0.077999518525782, 0.0843346731427994, -0.138732258014647, -0.105145233447035, -0.154735007791924, -0.0798344541978344, -0.0219228801055466, -0.135298875366141, -0.138432671919583, -0.342278267348196, -0.326268429998524, -0.0773542180333219, -0.323054735248215, -0.180272517485999, -0.259577593828642, -0.180529804752657, -0.0525826600973454, -0.062811145373553, -0.254560768786027, -0.116030461714936, 0.362259250797727, 0.17919970849086, 0.166625825410681, 0.11115313949972, 0.163503934109603, 0.0960555086373441, 0.154562556139762, 0.0724684174165464, -0.0245276959404352, 0.211276918559799, 0.147481141648431, -0.0353674178240845, -0.129822336462292, 0.0597307696662593, -0.008964274590921, -0.177815201584007, -0.00428017493349612, -0.0675233942943377, -0.0385902188875636, -0.120150597165108, 0.175820829890224, -0.0347322299490167, -0.162170367535202, 0.0181003175640535, 0.0246985383306528, -0.100201696350824, -0.290511093477849, -0.0656671965664061, 0.0554317372821539, -0.00759135391415561, -0.0114369007104181, 0.054463046552117, -0.0242622427894175, 0.204061325495954, 0.0938492182407134, 0.165114687808338, 0.197794394542276, 0.11673166256006, 0.00651285978192806, 0.210680076665263, -0.105632873410018, 0.0399045470683575, 0.0688165501528311, 0.0655100158333082, 0.18416851038822, 0.0957443088200866, 0.122838879852192, 0.0751566382085184, 0.0573556853478758, 0.151677200171773, 0.196744955231389, -0.158187501979378, 0.139396075034393, 0.119594560187674, 0.0168633599661433, 0.154491412879433, 0.020466413949913, 0.0309570659417935, 0.145131109929731, 0.231352862033811, 0.0863956222154738, 0.0171717311429869, -0.0595211973642076, 0.0262868342338499, -0.0345928005292513, 1.06600447884894, 1.03133565398298, 0.806712027958436, 1.05681442527031, 0.70749890472733, 0.704918463906316, 0.262985339176811, 0.465997852880366, 0.160273221115666, 0.283878104921736, 0.131710752706017, 1.03746077214613, 1.11063949309083, 0.808090463148415, 0.720152199649053, 0.578106411970565, 0.511395769397767, 0.572732125410415, 0.421583845027623, 0.378729551840811, 0.139201763667739, 0.115850659250572, 1.03187299078517, 0.764830764098265, 0.985299427084064, 0.720901264429887, 0.684016398252306, 0.602970166027417, 0.402399928192292, 0.276874956359822, 0.29682386857907, 0.0027266834303895, 0.204590236958934, 0.762701619784827, 0.866479360641162, 0.752286099808726, 0.509361403772254, 0.457786921898813, 0.198609982460217, 0.233365480715906, 0.205426076249281, 0.0109726791033825, -0.144348860501773, -0.264513354831381, 1.05839033252722, 1.06889872085715, 0.813585081759343, 0.749881563656727, 0.532568574407387, 0.611413858390957, 0.592772726800886, 0.511686675729749, 0.343452847879207, -0.0249963042307903, 0.110185525201847, 1.04000068637722, 0.859047097464109, 0.811436073141898, 0.607983530634409, 0.662310203448665, 0.461677024581789, 0.237478907532705, 0.257642050430052, 0.330830618954085, 0.0609589895739835, 0.0676621302680101, 1.07907901334925, 0.884860319762104, 0.749188218774482, 0.631450898416117, 0.658379371886947, 0.378074707781186, 0.409041533683107, 0.255470512673036, -0.0420684863193274, -0.0564645962778523, 0.0760223822087244, 0.833796866556553, 0.833253083223437, 0.841672207940933, 0.700312879720986, 0.520651610841372, 0.390921030266747, 0.233644918964339, 0.310713941100512, 0.112548172541918, -0.164432932477063, -0.162639491878959, 0.760294012462154, 0.832659109878074, 0.492952227494539, 0.783585211208943, 0.488630694385924, 0.409187110619719, 0.335253161258942, 0.313406811888051, 0.220019012211408, 0.108980191736305, -0.105069265903475, 0.905465030392136, 0.90292193158618, 0.869585569265025, 0.659486043862768, 0.634910062572124, 0.42502792340699, 0.44096325459841, 0.354679696179711, 0.22720659317387, 0.125403060346363, 0.218149356298462, 1.21212660639474, 1.14701106322597, 0.843547259869921, 0.8523021389957, 0.851350473862632, 0.630215812700255, 0.322931890329439, 0.47035253136285, 0.145372410594351, 0.154750939838883, 0.268268387282865, 1.05128491219597, 0.998888122819237, 0.820381713417064, 0.678705351017415, 0.497289949952972, 0.64901260263762, 0.394222287077888, 0.218208387198912, 0.276243537237414, 0.19716532309349, 0.179286704685558, 0.978467430795427, 0.899680379083623, 0.797144958002918, 0.701201418873898, 0.602104066585701, 0.509199415885848, 0.582949202175924, 0.269013331964633, 0.199950410563801, 0.204020806373089, 0.15124440580945, 0.917408415639317, 0.843810874327881, 0.846981554991511, 0.796394918595506, 0.569503037132912, 0.351620151202849, 0.565531599151798, 0.438126453172872, 0.123582381356721, 0.0881127385761511, -0.181327377594884, 0.919266341499049, 0.923528724137318, 0.498565979606668, 0.484337192996965, 0.398176350942083, 0.294180904960024, 0.0589654847553442, 0.21239040024193, -0.090885769679435, -0.040205719610687, -0.0784074835803314, 0.938681001521568, 0.947701382917385, 0.755929036578217, 0.593734498611465, 0.623136485173496, 0.415117269667073, 0.535761662167882, 0.256674572553731, 0.243782043030085, 0.0790168339944346, -0.342304316222016, 0.823959811496067, 0.818160778614484, 0.784251371003521, 0.426298692593069, 0.656740667967036, 0.400128431243521, 0.285283276692674, 0.10500984537454, 0.0151816308288592, 0.0662041882344061, 0.0115079452963543, 0.784280364350451, 0.793632462383948, 0.847645832554141, 0.64876495186389, 0.810605510510608, 0.618643327603692, 0.453618463735841, 0.2945571052827, 0.222004738534407, 0.0234780478021188, 0.0568703756246065, 1.25802393320696, 1.11834552820672, 0.828678111531979, 0.648114852276029, 0.699036967249564, 0.654091474290086, 0.645101935179248, 0.278141588745032, 0.346440996459133, 0.23335252070724, 0.229398063324293, 1.0735265776328, 0.940587689395329, 0.761636161233918, 0.724575526486392, 0.640105197587927, 0.811373007424665, 0.72097071241575, 0.359647246897327, 0.171950830939566, -0.0209759185617129, 0.127784738189557, 0.874490282001156, 1.11201357292908, 0.694985883108845, 0.694658283349213, 0.964575308445708, 0.372656640580316, 0.414304302816787, 0.172858193152125, 0.218313005256837, -0.00377881313156311, -0.00872204735166633, 0.944976967770687, 0.756339607943082, 0.775793100828739, 0.773823935592286, 0.734060577376723, 0.337392704893432, 0.349702738682117, 0.390606284671904, 0.0632415972019895, -0.17818623689869, -0.118926423864982, 0.972972391746917, 0.974445196773253, 0.82932265819067, 0.792845950364937, 0.627459096747799, 0.607108177010004, 0.433095760040772, 0.48870648219258, 0.195963585014751, 0.1987630020844, -0.0187886192879718, 1.07646696775445, 0.950893302619513, 0.687214255253507, 0.74124366420547, 0.773687686417631, 0.623806312187316, 0.469991082956121, 0.236434675496074, 0.372589185146275, 0.163586490761903, 0.010488944590498, 1.09532725182513, 0.754165198385096, 0.761460526620833, 0.759298172663399, 0.591346710062091, 0.400422204091364, 0.289282620202784, 0.266637983549656, 0.182472542005004, 0.032985170577922, 0.0629693277707158, 0.922667284319973, 0.759220876472018, 0.782983097455922, 0.409072252068396, 0.568447858683629, 0.47894657954616, 0.306763012760798, 0.117536167770599, 0.0897510239724003, 0.184233518527419, -0.145100963676079, 0.803286984440726, 1.0176827404346, 0.786327130493548, 0.685369539618447, 0.514921792098182, 0.534202333378961, 0.506582126256654, 0.277709993654703, 0.175785402071804, 0.246122217713712, 0.0117072285056534, 1.06086312111922, 0.914275467378034, 0.966896756011565, 0.677433929524919, 0.761778331039578, 0.657423521349185, 0.43009319885242, 0.461695323823876, 0.375530278811143, 0.234415321303478, 0.279337496993358, 0.792530059662473, 0.772273285721218, 0.651113457411894, 0.705533372231954, 0.747228286700949, 0.656554274082602, 0.437595048624473, 0.37663270504101, 0.174277891381989, 0.135662554792398, 0.0263889264979256, 1.01200674513977, 0.958781279270335, 0.87462664620467, 0.927495354262723, 0.584411903675592, 0.376677257865056, 0.564938594465861, 0.306494710570073, 0.244500080329364, 0.278581275773702, 0.0118021461905898), Time = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1), Traj = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L)), X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1), reTrms = list(Zt = new("dgCMatrix", i = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L), p = 0:550, Dim = c(50L, 550L), Dimnames = list( c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180", "181", "182", "183", "184", "185", "186", "187", "188", "189", "190", "191", "192", "193", "194", "195", "196", "197", "198", "199", "200", "201", "202", "203", "204", "205", "206", "207", "208", "209", "210", "211", "212", "213", "214", "215", "216", "217", "218", "219", "220", "221", "222", "223", "224", "225", "226", "227", "228", "229", "230", "231", "232", "233", "234", "235", "236", "237", "238", "239", "240", "241", "242", "243", "244", "245", "246", "247", "248", "249", "250", "251", "252", "253", "254", "255", "256", "257", "258", "259", "260", "261", "262", "263", "264", "265", "266", "267", "268", "269", "270", "271", "272", "273", "274", "275", "276", "277", "278", "279", "280", "281", "282", "283", "284", "285", "286", "287", "288", "289", "290", "291", "292", "293", "294", "295", "296", "297", "298", "299", "300", "301", "302", "303", "304", "305", "306", "307", "308", "309", "310", "311", "312", "313", "314", "315", "316", "317", "318", "319", "320", "321", "322", "323", "324", "325", "326", "327", "328", "329", "330", "331", "332", "333", "334", "335", "336", "337", "338", "339", "340", "341", "342", "343", "344", "345", "346", "347", "348", "349", "350", "351", "352", "353", "354", "355", "356", "357", "358", "359", "360", "361", "362", "363", "364", "365", "366", "367", "368", "369", "370", "371", "372", "373", "374", "375", "376", "377", "378", "379", "380", "381", "382", "383", "384", "385", "386", "387", "388", "389", "390", "391", "392", "393", "394", "395", "396", "397", "398", "399", "400", "401", "402", "403", "404", "405", "406", "407", "408", "409", "410", "411", "412", "413", "414", "415", "416", "417", "418", "419", "420", "421", "422", "423", "424", "425", "426", "427", "428", "429", "430", "431", "432", "433", "434", "435", "436", "437", "438", "439", "440", "441", "442", "443", "444", "445", "446", "447", "448", "449", "450", "451", "452", "453", "454", "455", "456", "457", "458", "459", "460", "461", "462", "463", "464", "465", "466", "467", "468", "469", "470", "471", "472", "473", "474", "475", "476", "477", "478", "479", "480", "481", "482", "483", "484", "485", "486", "487", "488", "489", "490", "491", "492", "493", "494", "495", "496", "497", "498", "499", "500", "501", "502", "503", "504", "505", "506", "507", "508", "509", "510", "511", "512", "513", "514", "515", "516", "517", "518", "519", "520", "521", "522", "523", "524", "525", "526", "527", "528", "529", "530", "531", "532", "533", "534", "535", "536", "537", "538", "539", "540", "541", "542", "543", "544", "545", "546", "547", "548", "549", "550")), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), theta = 1, Lind = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), Gp = c(0L, 50L), lower = 0, Lambdat = new("dgCMatrix", i = 0:49, p = 0:50, Dim = c(50L, 50L), Dimnames = list(NULL, NULL), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), flist = list(Traj = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L)), cnms = list(Traj = "(Intercept)"), Ztlist = list(`1 | Traj` = new("dgCMatrix", i = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L), p = 0:550, Dim = c(50L, 550L), Dimnames = list(c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180", "181", "182", "183", "184", "185", "186", "187", "188", "189", "190", "191", "192", "193", "194", "195", "196", "197", "198", "199", "200", "201", "202", "203", "204", "205", "206", "207", "208", "209", "210", "211", "212", "213", "214", "215", "216", "217", "218", "219", "220", "221", "222", "223", "224", "225", "226", "227", "228", "229", "230", "231", "232", "233", "234", "235", "236", "237", "238", "239", "240", "241", "242", "243", "244", "245", "246", "247", "248", "249", "250", "251", "252", "253", "254", "255", "256", "257", "258", "259", "260", "261", "262", "263", "264", "265", "266", "267", "268", "269", "270", "271", "272", "273", "274", "275", "276", "277", "278", "279", "280", "281", "282", "283", "284", "285", "286", "287", "288", "289", "290", "291", "292", "293", "294", "295", "296", "297", "298", "299", "300", "301", "302", "303", "304", "305", "306", "307", "308", "309", "310", "311", "312", "313", "314", "315", "316", "317", "318", "319", "320", "321", "322", "323", "324", "325", "326", "327", "328", "329", "330", "331", "332", "333", "334", "335", "336", "337", "338", "339", "340", "341", "342", "343", "344", "345", "346", "347", "348", "349", "350", "351", "352", "353", "354", "355", "356", "357", "358", "359", "360", "361", "362", "363", "364", "365", "366", "367", "368", "369", "370", "371", "372", "373", "374", "375", "376", "377", "378", "379", "380", "381", "382", "383", "384", "385", "386", "387", "388", "389", "390", "391", "392", "393", "394", "395", "396", "397", "398", "399", "400", "401", "402", "403", "404", "405", "406", "407", "408", "409", "410", "411", "412", "413", "414", "415", "416", "417", "418", "419", "420", "421", "422", "423", "424", "425", "426", "427", "428", "429", "430", "431", "432", "433", "434", "435", "436", "437", "438", "439", "440", "441", "442", "443", "444", "445", "446", "447", "448", "449", "450", "451", "452", "453", "454", "455", "456", "457", "458", "459", "460", "461", "462", "463", "464", "465", "466", "467", "468", "469", "470", "471", "472", "473", "474", "475", "476", "477", "478", "479", "480", "481", "482", "483", "484", "485", "486", "487", "488", "489", "490", "491", "492", "493", "494", "495", "496", "497", "498", "499", "500", "501", "502", "503", "504", "505", "506", "507", "508", "509", "510", "511", "512", "513", "514", "515", "516", "517", "518", "519", "520", "521", "522", "523", "524", "525", "526", "527", "528", "529", "530", "531", "532", "533", "534", "535", "536", "537", "538", "539", "540", "541", "542", "543", "544", "545", "546", "547", "548", "549", "550")), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list())), nl = c(Traj = 50L)), REML = TRUE, wmsgs = character(0), start = NULL, verbose = FALSE, control = list( optimizer = "nloptwrap", restart_edge = TRUE, boundary.tol = 1e-05, calc.derivs = TRUE, use.last.params = FALSE, checkControl = list( check.nobs.vs.rankZ = "ignore", check.nobs.vs.nlev = "stop", check.nlev.gtreq.5 = "ignore", check.nlev.gtr.1 = "stop", check.nobs.vs.nRE = "stop", check.rankX = "message+drop.cols", check.scaleX = "warning", check.formula.LHS = "stop"), checkConv = list(check.conv.grad = list(action = "warning", tol = 0.002, relTol = NULL), check.conv.singular = list( action = "message", tol = 1e-04), check.conv.hess = list( action = "warning", tol = 1e-06)), optCtrl = list())) 10: do.call(mkLmerDevfun, c(lmod, list(start = start, verbose = verbose, control = control))) 11: lme4::lmer(formula = method$formula, data = data, REML = method$REML, control = method$control, verbose = canShow(verbose, "fine")) 12: .local(method, data, verbose, ...) 13: prepareData(method = cmethod, data = modelData, verbose = verbose) 14: prepareData(method = cmethod, data = modelData, verbose = verbose) 15: latrend(..., formula = form) 16: (function (type, ...) { form <- switch(type, constant = Y ~ Time + (1 | Traj), linear = Y ~ Time + (Time | Traj)) latrend(..., formula = form)})(method = "lcMethodGCKM", nClusters = 1L, seed = 1, type = "constant", list(Traj = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L), Class = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), Y = c(-0.0228347930375264, -0.12384802039931, -0.0285334119317908, -0.175581690682312, 0.0806569890958704, 0.135394608776353, -0.0993675287208841, -0.167058843705886, -0.00567341832999195, -0.0761508414623157, 0.177516394976244, 0.0144403321488913, 0.0873382686672859, 0.0211645483002748, -0.0559629884660323, 0.0372435623736425, -0.162131530466896, 0.164919818578497, 0.033689666243398, 0.235625499458424, 0.0659152853121745, -0.0526303106699732, -0.0224902258920992, -0.17697262440543, -0.208926201264915, -0.0544182376892584, -0.127892048562848, -0.0834523260778423, -0.0761287288258383, -0.142514955859812, -0.140429734522855, -0.0970807227533879, 0.0342458384163157, 0.00717140017080298, 0.218922698976621, 0.192823117335131, 0.265838063941415, 0.129109687850349, 0.196529961205408, 0.186237959291002, 0.105276077114614, 0.280314860812096, 0.275568341783274, 0.229549445165279, 0.191634122635621, 0.0887994197380664, -0.0947084436642676, -0.0243757642421526, -0.0895104843082995, -0.0143892864623951, -0.0290858905408764, 0.0371623644959596, -0.0581413876737085, 0.0487536544219435, -0.0325076872103457, 0.0946818885254631, -0.010376090810081, 0.00897058453772119, -0.0436283026291671, 0.0861707696401403, -0.145620483806699, -0.128211311447858, 0.0611813854423648, -0.147116473742838, -0.102784912771998, -0.121327631356, 0.0167436183879978, 0.0208315749451926, 0.0981617383696312, 0.0310098570158879, -0.00185284096857721, 0.18304678775989, 0.0272849643881617, 0.0307872522385098, 0.0387238311214923, 0.120009535947989, 0.0413864648302159, 0.0700690533662169, 0.00566642263735603, 0.0414054432882898, 0.0798485145563732, 0.0149430218869554, 0.126982089776179, -0.078006937665757, 0.104488256591898, -0.0798125118408369, 0.0437348578292607, 0.0210044800684211, -0.00763134290275065, 0.05188845738061, -0.133857807402652, 0.175236466367205, -0.108919108455851, 0.0112250950181107, -0.0540138753389353, -0.0175037649539956, 0.266294789728184, 0.0593176971346744, -0.0710519178780833, -0.194599392157493, 0.01447987141163, -0.0323948219870994, -0.06234567617002, -0.123475053461006, -0.179284869729784, -0.138058068377204, 0.0694640416557558, -0.0926655081953179, -0.168981523454085, 0.156390223526722, 0.19368815458233, 0.127313406753782, 0.257026421715987, 0.239820381982578, 0.0892538120219701, 0.371788363299132, 0.125675413830983, 0.00872865182380397, 0.136738156649663, 0.171931950768319, 0.381975956751021, 0.0495645604305143, 0.0846842041834845, 0.03126903010549, 0.00558423940448866, 0.0355117208100155, 0.117748284204159, 0.246508824506372, 0.14172356751752, 0.159775163479814, -0.0841480185146613, 0.137373880646481, -0.0401315776881152, -0.208849060963405, -0.0100217837893665, -0.077999518525782, 0.0843346731427994, -0.138732258014647, -0.105145233447035, -0.154735007791924, -0.0798344541978344, -0.0219228801055466, -0.135298875366141, -0.138432671919583, -0.342278267348196, -0.326268429998524, -0.0773542180333219, -0.323054735248215, -0.180272517485999, -0.259577593828642, -0.180529804752657, -0.0525826600973454, -0.062811145373553, -0.254560768786027, -0.116030461714936, 0.362259250797727, 0.17919970849086, 0.166625825410681, 0.11115313949972, 0.163503934109603, 0.0960555086373441, 0.154562556139762, 0.0724684174165464, -0.0245276959404352, 0.211276918559799, 0.147481141648431, -0.0353674178240845, -0.129822336462292, 0.0597307696662593, -0.008964274590921, -0.177815201584007, -0.00428017493349612, -0.0675233942943377, -0.0385902188875636, -0.120150597165108, 0.175820829890224, -0.0347322299490167, -0.162170367535202, 0.0181003175640535, 0.0246985383306528, -0.100201696350824, -0.290511093477849, -0.0656671965664061, 0.0554317372821539, -0.00759135391415561, -0.0114369007104181, 0.054463046552117, -0.0242622427894175, 0.204061325495954, 0.0938492182407134, 0.165114687808338, 0.197794394542276, 0.11673166256006, 0.00651285978192806, 0.210680076665263, -0.105632873410018, 0.0399045470683575, 0.0688165501528311, 0.0655100158333082, 0.18416851038822, 0.0957443088200866, 0.122838879852192, 0.0751566382085184, 0.0573556853478758, 0.151677200171773, 0.196744955231389, -0.158187501979378, 0.139396075034393, 0.119594560187674, 0.0168633599661433, 0.154491412879433, 0.020466413949913, 0.0309570659417935, 0.145131109929731, 0.231352862033811, 0.0863956222154738, 0.0171717311429869, -0.0595211973642076, 0.0262868342338499, -0.0345928005292513, 1.06600447884894, 1.03133565398298, 0.806712027958436, 1.05681442527031, 0.70749890472733, 0.704918463906316, 0.262985339176811, 0.465997852880366, 0.160273221115666, 0.283878104921736, 0.131710752706017, 1.03746077214613, 1.11063949309083, 0.808090463148415, 0.720152199649053, 0.578106411970565, 0.511395769397767, 0.572732125410415, 0.421583845027623, 0.378729551840811, 0.139201763667739, 0.115850659250572, 1.03187299078517, 0.764830764098265, 0.985299427084064, 0.720901264429887, 0.684016398252306, 0.602970166027417, 0.402399928192292, 0.276874956359822, 0.29682386857907, 0.0027266834303895, 0.204590236958934, 0.762701619784827, 0.866479360641162, 0.752286099808726, 0.509361403772254, 0.457786921898813, 0.198609982460217, 0.233365480715906, 0.205426076249281, 0.0109726791033825, -0.144348860501773, -0.264513354831381, 1.05839033252722, 1.06889872085715, 0.813585081759343, 0.749881563656727, 0.532568574407387, 0.611413858390957, 0.592772726800886, 0.511686675729749, 0.343452847879207, -0.0249963042307903, 0.110185525201847, 1.04000068637722, 0.859047097464109, 0.811436073141898, 0.607983530634409, 0.662310203448665, 0.461677024581789, 0.237478907532705, 0.257642050430052, 0.330830618954085, 0.0609589895739835, 0.0676621302680101, 1.07907901334925, 0.884860319762104, 0.749188218774482, 0.631450898416117, 0.658379371886947, 0.378074707781186, 0.409041533683107, 0.255470512673036, -0.0420684863193274, -0.0564645962778523, 0.0760223822087244, 0.833796866556553, 0.833253083223437, 0.841672207940933, 0.700312879720986, 0.520651610841372, 0.390921030266747, 0.233644918964339, 0.310713941100512, 0.112548172541918, -0.164432932477063, -0.162639491878959, 0.760294012462154, 0.832659109878074, 0.492952227494539, 0.783585211208943, 0.488630694385924, 0.409187110619719, 0.335253161258942, 0.313406811888051, 0.220019012211408, 0.108980191736305, -0.105069265903475, 0.905465030392136, 0.90292193158618, 0.869585569265025, 0.659486043862768, 0.634910062572124, 0.42502792340699, 0.44096325459841, 0.354679696179711, 0.22720659317387, 0.125403060346363, 0.218149356298462, 1.21212660639474, 1.14701106322597, 0.843547259869921, 0.8523021389957, 0.851350473862632, 0.630215812700255, 0.322931890329439, 0.47035253136285, 0.145372410594351, 0.154750939838883, 0.268268387282865, 1.05128491219597, 0.998888122819237, 0.820381713417064, 0.678705351017415, 0.497289949952972, 0.64901260263762, 0.394222287077888, 0.218208387198912, 0.276243537237414, 0.19716532309349, 0.179286704685558, 0.978467430795427, 0.899680379083623, 0.797144958002918, 0.701201418873898, 0.602104066585701, 0.509199415885848, 0.582949202175924, 0.269013331964633, 0.199950410563801, 0.204020806373089, 0.15124440580945, 0.917408415639317, 0.843810874327881, 0.846981554991511, 0.796394918595506, 0.569503037132912, 0.351620151202849, 0.565531599151798, 0.438126453172872, 0.123582381356721, 0.0881127385761511, -0.181327377594884, 0.919266341499049, 0.923528724137318, 0.498565979606668, 0.484337192996965, 0.398176350942083, 0.294180904960024, 0.0589654847553442, 0.21239040024193, -0.090885769679435, -0.040205719610687, -0.0784074835803314, 0.938681001521568, 0.947701382917385, 0.755929036578217, 0.593734498611465, 0.623136485173496, 0.415117269667073, 0.535761662167882, 0.256674572553731, 0.243782043030085, 0.0790168339944346, -0.342304316222016, 0.823959811496067, 0.818160778614484, 0.784251371003521, 0.426298692593069, 0.656740667967036, 0.400128431243521, 0.285283276692674, 0.10500984537454, 0.0151816308288592, 0.0662041882344061, 0.0115079452963543, 0.784280364350451, 0.793632462383948, 0.847645832554141, 0.64876495186389, 0.810605510510608, 0.618643327603692, 0.453618463735841, 0.2945571052827, 0.222004738534407, 0.0234780478021188, 0.0568703756246065, 1.25802393320696, 1.11834552820672, 0.828678111531979, 0.648114852276029, 0.699036967249564, 0.654091474290086, 0.645101935179248, 0.278141588745032, 0.346440996459133, 0.23335252070724, 0.229398063324293, 1.0735265776328, 0.940587689395329, 0.761636161233918, 0.724575526486392, 0.640105197587927, 0.811373007424665, 0.72097071241575, 0.359647246897327, 0.171950830939566, -0.0209759185617129, 0.127784738189557, 0.874490282001156, 1.11201357292908, 0.694985883108845, 0.694658283349213, 0.964575308445708, 0.372656640580316, 0.414304302816787, 0.172858193152125, 0.218313005256837, -0.00377881313156311, -0.00872204735166633, 0.944976967770687, 0.756339607943082, 0.775793100828739, 0.773823935592286, 0.734060577376723, 0.337392704893432, 0.349702738682117, 0.390606284671904, 0.0632415972019895, -0.17818623689869, -0.118926423864982, 0.972972391746917, 0.974445196773253, 0.82932265819067, 0.792845950364937, 0.627459096747799, 0.607108177010004, 0.433095760040772, 0.48870648219258, 0.195963585014751, 0.1987630020844, -0.0187886192879718, 1.07646696775445, 0.950893302619513, 0.687214255253507, 0.74124366420547, 0.773687686417631, 0.623806312187316, 0.469991082956121, 0.236434675496074, 0.372589185146275, 0.163586490761903, 0.010488944590498, 1.09532725182513, 0.754165198385096, 0.761460526620833, 0.759298172663399, 0.591346710062091, 0.400422204091364, 0.289282620202784, 0.266637983549656, 0.182472542005004, 0.032985170577922, 0.0629693277707158, 0.922667284319973, 0.759220876472018, 0.782983097455922, 0.409072252068396, 0.568447858683629, 0.47894657954616, 0.306763012760798, 0.117536167770599, 0.0897510239724003, 0.184233518527419, -0.145100963676079, 0.803286984440726, 1.0176827404346, 0.786327130493548, 0.685369539618447, 0.514921792098182, 0.534202333378961, 0.506582126256654, 0.277709993654703, 0.175785402071804, 0.246122217713712, 0.0117072285056534, 1.06086312111922, 0.914275467378034, 0.966896756011565, 0.677433929524919, 0.761778331039578, 0.657423521349185, 0.43009319885242, 0.461695323823876, 0.375530278811143, 0.234415321303478, 0.279337496993358, 0.792530059662473, 0.772273285721218, 0.651113457411894, 0.705533372231954, 0.747228286700949, 0.656554274082602, 0.437595048624473, 0.37663270504101, 0.174277891381989, 0.135662554792398, 0.0263889264979256, 1.01200674513977, 0.958781279270335, 0.87462664620467, 0.927495354262723, 0.584411903675592, 0.376677257865056, 0.564938594465861, 0.306494710570073, 0.244500080329364, 0.278581275773702, 0.0118021461905898), Mu.fixed = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), Time = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1 ), Mu.class = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0), Mu.random = c(-0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0918977371608218, 0.0918977371608218, 0.0918977371608218, 0.0918977371608218, 0.0918977371608218, 0.0918977371608218, 0.0918977371608218, 0.0918977371608218, 0.0918977371608218, 0.0918977371608218, 0.0918977371608218, 0.0782136300731067, 0.0782136300731067, 0.0782136300731067, 0.0782136300731067, 0.0782136300731067, 0.0782136300731067, 0.0782136300731067, 0.0782136300731067, 0.0782136300731067, 0.0782136300731067, 0.0782136300731067, 0.00745649833651906, 0.00745649833651906, 0.00745649833651906, 0.00745649833651906, 0.00745649833651906, 0.00745649833651906, 0.00745649833651906, 0.00745649833651906, 0.00745649833651906, 0.00745649833651906, 0.00745649833651906, -0.198935169586337, -0.198935169586337, -0.198935169586337, -0.198935169586337, -0.198935169586337, -0.198935169586337, -0.198935169586337, -0.198935169586337, -0.198935169586337, -0.198935169586337, -0.198935169586337, 0.061982574789471, 0.061982574789471, 0.061982574789471, 0.061982574789471, 0.061982574789471, 0.061982574789471, 0.061982574789471, 0.061982574789471, 0.061982574789471, 0.061982574789471, 0.061982574789471, -0.00561287395290008, -0.00561287395290008, -0.00561287395290008, -0.00561287395290008, -0.00561287395290008, -0.00561287395290008, -0.00561287395290008, -0.00561287395290008, -0.00561287395290008, -0.00561287395290008, -0.00561287395290008, -0.0155795506705329, -0.0155795506705329, -0.0155795506705329, -0.0155795506705329, -0.0155795506705329, -0.0155795506705329, -0.0155795506705329, -0.0155795506705329, -0.0155795506705329, -0.0155795506705329, -0.0155795506705329, -0.147075238389927, -0.147075238389927, -0.147075238389927, -0.147075238389927, -0.147075238389927, -0.147075238389927, -0.147075238389927, -0.147075238389927, -0.147075238389927, -0.147075238389927, -0.147075238389927, -0.047815005510862, -0.047815005510862, -0.047815005510862, -0.047815005510862, -0.047815005510862, -0.047815005510862, -0.047815005510862, -0.047815005510862, -0.047815005510862, -0.047815005510862, -0.047815005510862, 0.0417941560199702, 0.0417941560199702, 0.0417941560199702, 0.0417941560199702, 0.0417941560199702, 0.0417941560199702, 0.0417941560199702, 0.0417941560199702, 0.0417941560199702, 0.0417941560199702, 0.0417941560199702, 0.135867955152904, 0.135867955152904, 0.135867955152904, 0.135867955152904, 0.135867955152904, 0.135867955152904, 0.135867955152904, 0.135867955152904, 0.135867955152904, 0.135867955152904, 0.135867955152904, -0.0102787727342996, -0.0102787727342996, -0.0102787727342996, -0.0102787727342996, -0.0102787727342996, -0.0102787727342996, -0.0102787727342996, -0.0102787727342996, -0.0102787727342996, -0.0102787727342996, -0.0102787727342996, 0.0387671611559369, 0.0387671611559369, 0.0387671611559369, 0.0387671611559369, 0.0387671611559369, 0.0387671611559369, 0.0387671611559369, 0.0387671611559369, 0.0387671611559369, 0.0387671611559369, 0.0387671611559369, -0.00538050405829051, -0.00538050405829051, -0.00538050405829051, -0.00538050405829051, -0.00538050405829051, -0.00538050405829051, -0.00538050405829051, -0.00538050405829051, -0.00538050405829051, -0.00538050405829051, -0.00538050405829051, -0.137705955682861, -0.137705955682861, -0.137705955682861, -0.137705955682861, -0.137705955682861, -0.137705955682861, -0.137705955682861, -0.137705955682861, -0.137705955682861, -0.137705955682861, -0.137705955682861, -0.041499456329968, -0.041499456329968, -0.041499456329968, -0.041499456329968, -0.041499456329968, -0.041499456329968, -0.041499456329968, -0.041499456329968, -0.041499456329968, -0.041499456329968, -0.041499456329968, -0.0394289953710349, -0.0394289953710349, -0.0394289953710349, -0.0394289953710349, -0.0394289953710349, -0.0394289953710349, -0.0394289953710349, -0.0394289953710349, -0.0394289953710349, -0.0394289953710349, -0.0394289953710349, -0.00593133967111857, -0.00593133967111857, -0.00593133967111857, -0.00593133967111857, -0.00593133967111857, -0.00593133967111857, -0.00593133967111857, -0.00593133967111857, -0.00593133967111857, -0.00593133967111857, -0.00593133967111857, 0.110002537198388, 0.110002537198388, 0.110002537198388, 0.110002537198388, 0.110002537198388, 0.110002537198388, 0.110002537198388, 0.110002537198388, 0.110002537198388, 0.110002537198388, 0.110002537198388, 0.0763175748457544, 0.0763175748457544, 0.0763175748457544, 0.0763175748457544, 0.0763175748457544, 0.0763175748457544, 0.0763175748457544, 0.0763175748457544, 0.0763175748457544, 0.0763175748457544, 0.0763175748457544, -0.0164523596253587, -0.0164523596253587, -0.0164523596253587, -0.0164523596253587, -0.0164523596253587, -0.0164523596253587, -0.0164523596253587, -0.0164523596253587, -0.0164523596253587, -0.0164523596253587, -0.0164523596253587, -0.0253361680136508, -0.0253361680136508, -0.0253361680136508, -0.0253361680136508, -0.0253361680136508, -0.0253361680136508, -0.0253361680136508, -0.0253361680136508, -0.0253361680136508, -0.0253361680136508, -0.0253361680136508, 0.0696963375404737, 0.0696963375404737, 0.0696963375404737, 0.0696963375404737, 0.0696963375404737, 0.0696963375404737, 0.0696963375404737, 0.0696963375404737, 0.0696963375404737, 0.0696963375404737, 0.0696963375404737, 0.0556663198673657, 0.0556663198673657, 0.0556663198673657, 0.0556663198673657, 0.0556663198673657, 0.0556663198673657, 0.0556663198673657, 0.0556663198673657, 0.0556663198673657, 0.0556663198673657, 0.0556663198673657, -0.068875569454952, -0.068875569454952, -0.068875569454952, -0.068875569454952, -0.068875569454952, -0.068875569454952, -0.068875569454952, -0.068875569454952, -0.068875569454952, -0.068875569454952, -0.068875569454952, -0.070749515696212, -0.070749515696212, -0.070749515696212, -0.070749515696212, -0.070749515696212, -0.070749515696212, -0.070749515696212, -0.070749515696212, -0.070749515696212, -0.070749515696212, -0.070749515696212, 0.036458196213683, 0.036458196213683, 0.036458196213683, 0.036458196213683, 0.036458196213683, 0.036458196213683, 0.036458196213683, 0.036458196213683, 0.036458196213683, 0.036458196213683, 0.036458196213683, 0.0768532924515416, 0.0768532924515416, 0.0768532924515416, 0.0768532924515416, 0.0768532924515416, 0.0768532924515416, 0.0768532924515416, 0.0768532924515416, 0.0768532924515416, 0.0768532924515416, 0.0768532924515416, -0.0112346212150228, -0.0112346212150228, -0.0112346212150228, -0.0112346212150228, -0.0112346212150228, -0.0112346212150228, -0.0112346212150228, -0.0112346212150228, -0.0112346212150228, -0.0112346212150228, -0.0112346212150228, 0.0881107726454215, 0.0881107726454215, 0.0881107726454215, 0.0881107726454215, 0.0881107726454215, 0.0881107726454215, 0.0881107726454215, 0.0881107726454215, 0.0881107726454215, 0.0881107726454215, 0.0881107726454215), Mu = c(-0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, -0.0626453810742332, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, 0.0183643324222082, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, -0.0835628612410047, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.159528080213779, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, 0.0329507771815361, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, -0.0820468384118015, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0487429052428485, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0738324705129217, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, 0.0575781351653492, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, -0.0305388387156356, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.151178116845085, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, 0.0389843236411431, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.0621240580541804, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, -0.22146998871775, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, 0.112493091814311, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00449336090152309, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, -0.00161902630989461, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0943836210685299, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0821221195098089, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 0.0593901321217509, 1.09189773716082, 0.991897737160822, 0.891897737160822, 0.791897737160822, 0.691897737160822, 0.591897737160822, 0.491897737160822, 0.391897737160822, 0.291897737160822, 0.191897737160822, 0.0918977371608218, 1.07821363007311, 0.978213630073107, 0.878213630073107, 0.778213630073107, 0.678213630073107, 0.578213630073107, 0.478213630073107, 0.378213630073107, 0.278213630073107, 0.178213630073107, 0.0782136300731067, 1.00745649833652, 0.907456498336519, 0.807456498336519, 0.707456498336519, 0.607456498336519, 0.507456498336519, 0.407456498336519, 0.307456498336519, 0.207456498336519, 0.107456498336519, 0.00745649833651906, 0.801064830413663, 0.701064830413663, 0.601064830413663, 0.501064830413663, 0.401064830413663, 0.301064830413663, 0.201064830413663, 0.101064830413663, 0.00106483041366268, -0.0989351695863373, -0.198935169586337, 1.06198257478947, 0.961982574789471, 0.861982574789471, 0.761982574789471, 0.661982574789471, 0.561982574789471, 0.461982574789471, 0.361982574789471, 0.261982574789471, 0.161982574789471, 0.061982574789471, 0.9943871260471, 0.8943871260471, 0.7943871260471, 0.6943871260471, 0.5943871260471, 0.4943871260471, 0.3943871260471, 0.2943871260471, 0.1943871260471, 0.0943871260470999, -0.00561287395290008, 0.984420449329467, 0.884420449329467, 0.784420449329467, 0.684420449329467, 0.584420449329467, 0.484420449329467, 0.384420449329467, 0.284420449329467, 0.184420449329467, 0.084420449329467, -0.0155795506705329, 0.852924761610073, 0.752924761610073, 0.652924761610073, 0.552924761610073, 0.452924761610073, 0.352924761610073, 0.252924761610072, 0.152924761610072, 0.0529247616100725, -0.0470752383899275, -0.147075238389927, 0.952184994489138, 0.852184994489138, 0.752184994489138, 0.652184994489138, 0.552184994489138, 0.452184994489138, 0.352184994489138, 0.252184994489138, 0.152184994489138, 0.0521849944891379, -0.047815005510862, 1.04179415601997, 0.94179415601997, 0.84179415601997, 0.74179415601997, 0.64179415601997, 0.54179415601997, 0.44179415601997, 0.34179415601997, 0.24179415601997, 0.14179415601997, 0.0417941560199702, 1.1358679551529, 1.0358679551529, 0.935867955152904, 0.835867955152904, 0.735867955152904, 0.635867955152904, 0.535867955152904, 0.435867955152904, 0.335867955152904, 0.235867955152904, 0.135867955152904, 0.9897212272657, 0.8897212272657, 0.7897212272657, 0.6897212272657, 0.5897212272657, 0.4897212272657, 0.3897212272657, 0.2897212272657, 0.1897212272657, 0.0897212272657004, -0.0102787727342996, 1.03876716115594, 0.938767161155937, 0.838767161155937, 0.738767161155937, 0.638767161155937, 0.538767161155937, 0.438767161155937, 0.338767161155937, 0.238767161155937, 0.138767161155937, 0.0387671611559369, 0.99461949594171, 0.89461949594171, 0.79461949594171, 0.694619495941709, 0.594619495941709, 0.49461949594171, 0.394619495941709, 0.294619495941709, 0.194619495941709, 0.0946194959417095, -0.00538050405829051, 0.862294044317139, 0.762294044317139, 0.662294044317139, 0.562294044317139, 0.462294044317139, 0.362294044317139, 0.262294044317139, 0.162294044317139, 0.0622940443171393, -0.0377059556828607, -0.137705955682861, 0.958500543670032, 0.858500543670032, 0.758500543670032, 0.658500543670032, 0.558500543670032, 0.458500543670032, 0.358500543670032, 0.258500543670032, 0.158500543670032, 0.058500543670032, -0.041499456329968, 0.960571004628965, 0.860571004628965, 0.760571004628965, 0.660571004628965, 0.560571004628965, 0.460571004628965, 0.360571004628965, 0.260571004628965, 0.160571004628965, 0.060571004628965, -0.0394289953710349, 0.994068660328881, 0.894068660328881, 0.794068660328881, 0.694068660328881, 0.594068660328881, 0.494068660328881, 0.394068660328881, 0.294068660328881, 0.194068660328881, 0.0940686603288814, -0.00593133967111857, 1.11000253719839, 1.01000253719839, 0.910002537198388, 0.810002537198388, 0.710002537198388, 0.610002537198388, 0.510002537198388, 0.410002537198388, 0.310002537198388, 0.210002537198388, 0.110002537198388, 1.07631757484575, 0.976317574845754, 0.876317574845754, 0.776317574845754, 0.676317574845754, 0.576317574845754, 0.476317574845754, 0.376317574845754, 0.276317574845754, 0.176317574845754, 0.0763175748457544, 0.983547640374641, 0.883547640374641, 0.783547640374641, 0.683547640374641, 0.583547640374641, 0.483547640374641, 0.383547640374641, 0.283547640374641, 0.183547640374641, 0.0835476403746413, -0.0164523596253587, 0.974663831986349, 0.874663831986349, 0.774663831986349, 0.674663831986349, 0.574663831986349, 0.474663831986349, 0.374663831986349, 0.274663831986349, 0.174663831986349, 0.0746638319863492, -0.0253361680136508, 1.06969633754047, 0.969696337540474, 0.869696337540474, 0.769696337540474, 0.669696337540474, 0.569696337540474, 0.469696337540474, 0.369696337540474, 0.269696337540474, 0.169696337540474, 0.0696963375404737, 1.05566631986737, 0.955666319867366, 0.855666319867366, 0.755666319867366, 0.655666319867366, 0.555666319867366, 0.455666319867366, 0.355666319867366, 0.255666319867366, 0.155666319867366, 0.0556663198673657, 0.931124430545048, 0.831124430545048, 0.731124430545048, 0.631124430545048, 0.531124430545048, 0.431124430545048, 0.331124430545048, 0.231124430545048, 0.131124430545048, 0.031124430545048, -0.068875569454952, 0.929250484303788, 0.829250484303788, 0.729250484303788, 0.629250484303788, 0.529250484303788, 0.429250484303788, 0.329250484303788, 0.229250484303788, 0.129250484303788, 0.029250484303788, -0.070749515696212, 1.03645819621368, 0.936458196213683, 0.836458196213683, 0.736458196213683, 0.636458196213683, 0.536458196213683, 0.436458196213683, 0.336458196213683, 0.236458196213683, 0.136458196213683, 0.036458196213683, 1.07685329245154, 0.976853292451542, 0.876853292451542, 0.776853292451542, 0.676853292451542, 0.576853292451542, 0.476853292451542, 0.376853292451542, 0.276853292451542, 0.176853292451542, 0.0768532924515416, 0.988765378784977, 0.888765378784977, 0.788765378784977, 0.688765378784977, 0.588765378784977, 0.488765378784977, 0.388765378784977, 0.288765378784977, 0.188765378784977, 0.0887653787849772, -0.0112346212150228, 1.08811077264542, 0.988110772645421, 0.888110772645421, 0.788110772645421, 0.688110772645421, 0.588110772645421, 0.488110772645421, 0.388110772645421, 0.288110772645421, 0.188110772645421, 0.0881107726454215))) 17: do.call(fp$fun, fp$para) 18: f(data, truth) 19: model.data(model) 20: f(x) 21: post_analyze(f(data, truth), truth) 22: FUN(X[[i]], ...) 23: lapply(pf, function(f) { post_analyze(f(data, truth), truth)}) 24: FUN(X[[i]], ...) 25: lapply(1:replications, with_data) 26: sim_fun(fc) 27: FUN(X[[i]], ...) 28: lapply(df, function(fc) { ret <- sim_fun(fc) pb() ret}) 29: tryCatchList(expr, classes, parentenv, handlers) 30: tryCatch({ simulation_list <- lapply(df, function(fc) { ret <- sim_fun(fc) pb() ret }) t2 <- Sys.time()}, finally = { if (ncpus > 1 && !user_provided_cluster) { parallel::stopCluster(cluster) RNGkind(kind = generator_info[1]) }}) 31: simTool::eval_tibbles(data_grid = dataGrid, proc_grid = methodGrid, post_analyze = analyzeModel) 32: eval(expr, envir, enclos) 33: eval(expr, envir, enclos) 34: eval_with_user_handlers(expr, envir, enclos, user_handlers) 35: withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)) 36: withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler) 37: handle(ev <- withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler)) 38: timing_fn(handle(ev <- withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler))) 39: evaluate_call(expr, parsed$src[[i]], envir = envir, enclos = enclos, debug = debug, last = i == length(out), use_try = stop_on_error != 2L, keep_warning = keep_warning, keep_message = keep_message, log_echo = log_echo, log_warning = log_warning, output_handler = output_handler, include_timing = include_timing) 40: evaluate::evaluate(...) 41: evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options)) 42: in_dir(input_dir(), expr) 43: in_input_dir(evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options))) 44: eng_r(options) 45: block_exec(params) 46: call_block(x) 47: process_group(group) 48: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) if (xfun::pkg_available("rlang", "1.0.0")) rlang::entrace(e)) 49: withCallingHandlers(expr, error = function(e) { loc = if (is.function(fun)) trimws(fun(label)) else "" if (loc != "") loc = sprintf(" at lines %s", loc) message(one_string(handler(e, loc)))}) 50: xfun:::handle_error(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) if (xfun::pkg_available("rlang", "1.0.0")) rlang::entrace(e)), function(e, loc) { setwd(wd) write_utf8(res, output %n% stdout()) paste0("\nQuitting from lines ", loc) }, if (labels[i] != "") sprintf(" [%s]", labels[i]), get_loc) 51: process_file(text, output) 52: knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet) 53: rmarkdown::render(file, encoding = encoding, quiet = quiet, envir = globalenv(), output_dir = getwd(), ...) 54: vweave_rmarkdown(...) 55: engine$weave(file, quiet = quiet, encoding = enc) 56: doTryCatch(return(expr), name, parentenv, handler) 57: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 58: tryCatchList(expr, classes, parentenv, handlers) 59: tryCatch({ engine$weave(file, quiet = quiet, encoding = enc) setwd(startdir) output <- find_vignette_product(name, by = "weave", engine = engine) if (!have.makefile && vignette_is_tex(output)) { texi2pdf(file = output, clean = FALSE, quiet = quiet) output <- find_vignette_product(name, by = "texi2pdf", engine = engine) }}, error = function(e) { OK <<- FALSE message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s", file, conditionMessage(e)))}) 60: tools:::.buildOneVignette("simulation.Rmd", "/tmp/th798/16170037/R-release/722/latrend.Rcheck/vign_test/latrend", TRUE, FALSE, "simulation", "UTF-8", "/tmp/th798/16170037/RtmpDghMS7/file3e37374918d9a4.rds") An irrecoverable exception occurred. R is aborting now ... SUMMARY: processing the following file failed: 'simulation.Rmd' Error: Vignette re-building failed. Execution halted * checking PDF version of manual ... OK * DONE Status: 3 ERRORs See '/tmp/th798/16170037/R-release/722/latrend.Rcheck/00check.log' for details. [1] "2025-03-28 01:41:12 MST" > system(paste(c("diff -u", Rcheck.list), collapse=" ")) --- R_version_4.4.3_2025-02-28/release_1.17.0.Rcheck/00check.log 2025-03-28 01:35:17.978629878 -0700 +++ R_version_4.4.3_2025-02-28/master_1.17.99.2cb03162a21328cc5f68a8c3b0e554f5edfcb5b9.Rcheck/00check.log 2025-03-28 01:41:12.384911325 -0700 @@ -251,7 +251,7 @@ Checking and transforming the training data format. Preparing the training data for fitting... Fitting the method... -Done fitting the method (0.026 secs) +Done fitting the method (0.024 secs) --------------------------------------------------------------------------- --------------------------------------------------------------------------- - Longitudinal clustering using: stratify @@ -269,7 +269,7 @@ Checking and transforming the training data format. Preparing the training data for fitting... Fitting the method... -Done fitting the method (0.19 secs) +Done fitting the method (0.18 secs) --------------------------------------------------------------------------- --------------------------------------------------------------------------- - Longitudinal clustering using: stratify @@ -323,11 +323,11 @@ Checking and transforming the training data format. Preparing the training data for fitting... Fitting the method... -Done fitting the method (0.21 secs) +Done fitting the method (0.22 secs) --------------------------------------------------------------------------- --- finished re-building 'implement.Rmd' -sh: line 1: 4058111 Segmentation fault (core dumped) '/home/th798/R/R-release/bin/R' --vanilla --no-echo > '/tmp/th798/16170037/RtmpUhGDWf/file3ddc943cc898dc' 2>&1 < '/tmp/th798/16170037/RtmpUhGDWf/file3ddc947000d56f' +sh: line 1: 4080208 Segmentation fault (core dumped) '/home/th798/R/R-release/bin/R' --vanilla --no-echo > '/tmp/th798/16170037/RtmpDghMS7/file3e37374e2a8e7e' 2>&1 < '/tmp/th798/16170037/RtmpDghMS7/file3e373730844995' --- re-building 'simulation.Rmd' using rmarkdown *** caught segfault *** @@ -393,7 +393,7 @@ 57: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 58: tryCatchList(expr, classes, parentenv, handlers) 59: tryCatch({ engine$weave(file, quiet = quiet, encoding = enc) setwd(startdir) output <- find_vignette_product(name, by = "weave", engine = engine) if (!have.makefile && vignette_is_tex(output)) { texi2pdf(file = output, clean = FALSE, quiet = quiet) output <- find_vignette_product(name, by = "texi2pdf", engine = engine) }}, error = function(e) { OK <<- FALSE message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s", file, conditionMessage(e)))}) -60: tools:::.buildOneVignette("simulation.Rmd", "/tmp/th798/16170037/R-release/722/latrend.Rcheck/vign_test/latrend", TRUE, FALSE, "simulation", "UTF-8", "/tmp/th798/16170037/RtmpUhGDWf/file3ddc944096418c.rds") +60: tools:::.buildOneVignette("simulation.Rmd", "/tmp/th798/16170037/R-release/722/latrend.Rcheck/vign_test/latrend", TRUE, FALSE, "simulation", "UTF-8", "/tmp/th798/16170037/RtmpDghMS7/file3e37374918d9a4.rds") An irrecoverable exception occurred. R is aborting now ... SUMMARY: processing the following file failed: 'simulation.Rmd' > library(data.table, lib.loc=R.home("library")) > (sig.diff.dt <- myDiff(Rvers)) Key: Empty data.table (0 rows and 3 cols): checking,master,release > > ## If there are significant differences, use git bisect to find when > ## they started. > if(nrow(sig.diff.dt)){ + dt.git <- file.path(task.dir, "data.table.git") + system(paste("cd ~/R/data.table && git fetch --tags")) + system(paste("git clone ~/R/data.table", dt.git)) + release.tag <- gsub(".tar.gz|.*_", "", cargs[["release"]]) + rev.parse.cmd <- paste( + "cd", dt.git, "&& git rev-parse master") + master.sha <- system(rev.parse.cmd, intern=TRUE) + merge.base.cmd <- paste( + "cd", dt.git, "&& git merge-base master", release.tag) + merge.base.sha <- system(merge.base.cmd, intern=TRUE) + old.sha <- merge.base.sha + run_R <- file.path(proj.dir, "install_dt_then_check_dep.R") + sig.diff.dt[, first.bad.commit := NA_character_] + sig.diff.dt[, comments := NA_character_] + for(diff.i in 1:nrow(sig.diff.dt)){ + sig.diff.row <- sig.diff.dt[diff.i] + bisect.cmd <- paste( + "cd", dt.git, "&&", + "git bisect start &&", + "git bisect old", old.sha, "&&", + "git bisect new master &&", + "git bisect run", + R.home('bin/Rscript'), + run_R, + shQuote(sig.diff.row$checking), + sig.diff.row$release, + rev.dep.release.tar.gz, + release.tag) + print(bisect.cmd) + bisect.out <- system(bisect.cmd, intern=TRUE) + cat(bisect.out,sep="\n") + if(is.null(attr(bisect.out,"status"))){ + first.bad.sha <- nc::capture_all_str( + bisect.out, + sha="[0-9a-f]+", + " is the first new commit")$sha + parent.cmd <- paste( + "cd ~/R/data.table && git log --pretty=%P -n 1", + first.bad.sha) + parent.sha <- system(parent.cmd, intern=TRUE) + sig.diff.dt[diff.i, first.bad.commit := first.bad.sha] + parent.msg <- paste0("parent=", parent.sha) + this.comment <- if(parent.sha==old.sha){ + paste(parent.msg, "same as git bisect old") + }else if(first.bad.sha==master.sha){ + paste("same as git bisect new=master,", parent.msg) + }else{ + parent.msg + } + sig.diff.dt[diff.i, comments := this.comment] + } + } + ## add CRAN column. + sig.diff.dt[, CRAN := { + flavor <- get_flavor(Rvers) + details <- data.table(flavor=unique(flavor))[, { + base <- "https://www.r-project.org/nosvn/R.check/" + u <- paste0(base, flavor, "/", rev.dep, "-00check.txt") + check.txt <- tempfile() + tryCatch({ + download.file(u, check.txt, quiet=TRUE) + }, error=function(e){ + NULL + }) + check.lines <- if(file.exists(check.txt)){ + readLines(check.txt,encoding="UTF-8") + }else{ + "" + } + repl.lines <- gsub("[\u2018\u2019]", "'", check.lines) + ##gsub("[‘’]", "'", check.lines) does not work with LC_ALL=C. + myStatus(line.vec=repl.lines) + }, by=flavor] + select.dt <- data.table(flavor, checking) + details[select.dt, msg, on=.(flavor, checking)] + }] + dir.create(file.path(job.dir, Rvers)) + diffs.csv <- file.path(job.dir, Rvers, "significant_differences.csv") + data.table::fwrite(sig.diff.dt, diffs.csv) + print(sig.diff.dt) + } >