Multiple platform build/check report for BioC 3.20 - CHECK results for ternarynet on kjohnson1

Hostname	OS	Arch (*)	R version	Installed pkgs
nebbiolo2	Linux (Ubuntu 24.04.1 LTS)	x86_64	4.4.2 (2024-10-31) -- "Pile of Leaves"	4744
palomino8	Windows Server 2022 Datacenter	x64	4.4.2 (2024-10-31 ucrt) -- "Pile of Leaves"	4487
merida1	macOS 12.7.5 Monterey	x86_64	4.4.2 (2024-10-31) -- "Pile of Leaves"	4515
kjohnson1	macOS 13.6.6 Ventura	arm64	4.4.2 (2024-10-31) -- "Pile of Leaves"	4467
Click on any hostname to see more info about the system (e.g. compilers) () as reported by 'uname -p', except on Windows and Mac OS X*

CHECK results for ternarynet on kjohnson1

To the developers/maintainers of the ternarynet package:
- Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/ternarynet.git to reflect on this report. See Troubleshooting Build Report for more information.
- Use the following Renviron settings to reproduce errors and warnings.
- If 'R CMD check' started to fail recently on the Linux builder(s) over a missing dependency, add the missing dependency to 'Suggests:' in your DESCRIPTION file. See Renviron.bioc for more information.

raw results

Summary

Package: ternarynet

Version: 1.50.0

Command: /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:ternarynet.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings ternarynet_1.50.0.tar.gz

StartedAt: 2024-12-21 11:44:12 -0500 (Sat, 21 Dec 2024)

EndedAt: 2024-12-21 11:45:21 -0500 (Sat, 21 Dec 2024)

EllapsedTime: 69.3 seconds

RetCode: 0

Status: OK

CheckDir: ternarynet.Rcheck

Warnings: 0

Command output

##############################################################################
##############################################################################
###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:ternarynet.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings ternarynet_1.50.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/Users/biocbuild/bbs-3.20-bioc/meat/ternarynet.Rcheck’
* using R version 4.4.2 (2024-10-31)
* using platform: aarch64-apple-darwin20
* R was compiled by
    Apple clang version 14.0.0 (clang-1400.0.29.202)
    GNU Fortran (GCC) 12.2.0
* running under: macOS Ventura 13.7.1
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘ternarynet/DESCRIPTION’ ... OK
* this is package ‘ternarynet’ version ‘1.50.0’
* checking package namespace information ... OK
* checking package dependencies ... NOTE
Package which this enhances but not available for checking: ‘Rmpi’
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘ternarynet’ can be installed ... OK
* used C compiler: ‘Apple clang version 15.0.0 (clang-1500.0.40.1)’
* used C++ compiler: ‘Apple clang version 15.0.0 (clang-1500.0.40.1)’
* used SDK: ‘MacOSX11.3.sdk’
* 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 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 line endings in shell scripts ... OK
* checking line endings in C/C++/Fortran sources/headers ... OK
* checking line endings in Makefiles ... OK
* checking compilation flags in Makevars ... OK
* checking for GNU extensions in Makefiles ... OK
* checking for portable use of $(BLAS_LIBS) and $(LAPACK_LIBS) ... OK
* checking use of PKG_*FLAGS in Makefiles ... OK
* checking compiled code ... NOTE
Note: information on .o files is not available
* checking sizes of PDF files under ‘inst/doc’ ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘test_smallmodel.R’
  Running ‘test_smallmodel_2.R’
 OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE

Status: 2 NOTEs
See
  ‘/Users/biocbuild/bbs-3.20-bioc/meat/ternarynet.Rcheck/00check.log’
for details.

Installation output

ternarynet.Rcheck/00install.out

##############################################################################
##############################################################################
###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD INSTALL ternarynet
###
##############################################################################
##############################################################################


* installing to library ‘/Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/library’
* installing *source* package ‘ternarynet’ ...
** using staged installation
** libs
using C compiler: ‘Apple clang version 15.0.0 (clang-1500.0.40.1)’
using C++ compiler: ‘Apple clang version 15.0.0 (clang-1500.0.40.1)’
using SDK: ‘MacOSX11.3.sdk’
clang -arch arm64 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG   -I/opt/R/arm64/include    -fPIC  -falign-functions=64 -Wall -g -O2  -c array.c -o array.o
clang -arch arm64 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG   -I/opt/R/arm64/include    -fPIC  -falign-functions=64 -Wall -g -O2  -c gn.c -o gn.o
clang -arch arm64 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG   -I/opt/R/arm64/include    -fPIC  -falign-functions=64 -Wall -g -O2  -c gn_Rwrap.c -o gn_Rwrap.o
clang -arch arm64 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG   -I/opt/R/arm64/include    -fPIC  -falign-functions=64 -Wall -g -O2  -c init.c -o init.o
clang++ -arch arm64 -std=gnu++17 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG   -I/opt/R/arm64/include    -fPIC  -falign-functions=64 -Wall -g -O2   -c tnetfit.cc -o tnetfit.o
tnetfit.cc:24:9: warning: variable 'perturbationType' set but not used [-Wunused-but-set-variable]
    int perturbationType, scoreType, backupStage, maxStage, maxTransition;
        ^
tnetfit.cc:24:27: warning: variable 'scoreType' set but not used [-Wunused-but-set-variable]
    int perturbationType, scoreType, backupStage, maxStage, maxTransition;
                          ^
tnetfit.cc:24:38: warning: variable 'backupStage' set but not used [-Wunused-but-set-variable]
    int perturbationType, scoreType, backupStage, maxStage, maxTransition;
                                     ^
tnetfit.cc:73:39: warning: unused variable 'tempi' [-Wunused-variable]
    int nOutcomes=3, l0, stage_count, tempi, jtrans, nTransition;
                                      ^
tnetfit.cc:99:9: warning: variable 'acceptCount' set but not used [-Wunused-but-set-variable]
    int acceptCount;
        ^
5 warnings generated.
clang++ -arch arm64 -std=gnu++17 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG   -I/opt/R/arm64/include    -fPIC  -falign-functions=64 -Wall -g -O2   -c tnetfuncs.cc -o tnetfuncs.o
tnetfuncs.cc:427:5: warning: unused variable 'tableWidth' [-Wunused-variable]
int tableWidth = powi(nOutcomes,maxDegree);
    ^
tnetfuncs.cc:435:5: warning: unused variable 'ipause' [-Wunused-variable]
int ipause;
    ^
tnetfuncs.cc:517:6: warning: unused variable 'ipause' [-Wunused-variable]
        int ipause; 
            ^
tnetfuncs.cc:521:16: warning: unused variable 'i' [-Wunused-variable]
        int m1, m2, i;
                    ^
4 warnings generated.
clang++ -arch arm64 -std=gnu++17 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG   -I/opt/R/arm64/include    -fPIC  -falign-functions=64 -Wall -g -O2   -c tnetpost.cc -o tnetpost.o
tnetpost.cc:25:9: warning: unused variable 'ipause' [-Wunused-variable]
    int ipause;
        ^
tnetpost.cc:27:9: warning: unused variable 'm0fit' [-Wunused-variable]
    int m0fit;
        ^
tnetpost.cc:28:32: warning: variable 'minScore' set but not used [-Wunused-but-set-variable]
    double newScore, oldScore, minScore, finalScore;
                               ^
tnetpost.cc:28:42: warning: unused variable 'finalScore' [-Wunused-variable]
    double newScore, oldScore, minScore, finalScore;
                                         ^
tnetpost.cc:30:9: warning: unused variable 'l0' [-Wunused-variable]
    int l0, stage_count, tempi, jtrans, nTransition;
        ^
tnetpost.cc:30:13: warning: unused variable 'stage_count' [-Wunused-variable]
    int l0, stage_count, tempi, jtrans, nTransition;
            ^
tnetpost.cc:30:26: warning: unused variable 'tempi' [-Wunused-variable]
    int l0, stage_count, tempi, jtrans, nTransition;
                         ^
tnetpost.cc:30:33: warning: unused variable 'jtrans' [-Wunused-variable]
    int l0, stage_count, tempi, jtrans, nTransition;
                                ^
tnetpost.cc:30:41: warning: unused variable 'nTransition' [-Wunused-variable]
    int l0, stage_count, tempi, jtrans, nTransition;
                                        ^
tnetpost.cc:33:9: warning: variable 'acceptCount' set but not used [-Wunused-but-set-variable]
    int acceptCount;
        ^
tnetpost.cc:36:21: warning: variable 'xSeedFit' set but not used [-Wunused-but-set-variable]
    int m0, mdelta, xSeedFit;
                    ^
tnetpost.cc:38:9: warning: variable 'perturbationType' set but not used [-Wunused-but-set-variable]
    int perturbationType, scoreType, backupStage;
        ^
tnetpost.cc:38:27: warning: variable 'scoreType' set but not used [-Wunused-but-set-variable]
    int perturbationType, scoreType, backupStage;
                          ^
tnetpost.cc:38:38: warning: variable 'backupStage' set but not used [-Wunused-but-set-variable]
    int perturbationType, scoreType, backupStage;
                                     ^
tnetpost.cc:39:9: warning: variable 'maxStage' set but not used [-Wunused-but-set-variable]
    int maxStage, maxTransition;
        ^
tnetpost.cc:39:19: warning: variable 'maxTransition' set but not used [-Wunused-but-set-variable]
    int maxStage, maxTransition;
                  ^
tnetpost.cc:40:12: warning: variable 'epsilon' set but not used [-Wunused-but-set-variable]
    double epsilon, chi0, delta, rho; 
           ^
tnetpost.cc:40:21: warning: variable 'chi0' set but not used [-Wunused-but-set-variable]
    double epsilon, chi0, delta, rho; 
                    ^
tnetpost.cc:40:27: warning: variable 'delta' set but not used [-Wunused-but-set-variable]
    double epsilon, chi0, delta, rho; 
                          ^
tnetpost.cc:40:34: warning: variable 'rho' set but not used [-Wunused-but-set-variable]
    double epsilon, chi0, delta, rho; 
                                 ^
tnetpost.cc:44:9: warning: variable 'ne' set but not used [-Wunused-but-set-variable]
    int ne, maxDegree;
        ^
tnetpost.cc:150:10: warning: variable 'minDump' set but not used [-Wunused-but-set-variable]
    bool minDump = true;
         ^
tnetpost.cc:41:9: warning: variable 'Rf_beta' set but not used [-Wunused-but-set-variable]
    int beta;
        ^
/Library/Frameworks/R.framework/Resources/include/Rmath.h:210:15: note: expanded from macro 'beta'
#define beta            Rf_beta
                        ^
23 warnings generated.
clang -arch arm64 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG   -I/opt/R/arm64/include    -fPIC  -falign-functions=64 -Wall -g -O2  -c util.c -o util.o
clang++ -arch arm64 -std=gnu++17 -dynamiclib -Wl,-headerpad_max_install_names -undefined dynamic_lookup -L/Library/Frameworks/R.framework/Resources/lib -L/opt/R/arm64/lib -o ternarynet.so array.o gn.o gn_Rwrap.o init.o tnetfit.o tnetfuncs.o tnetpost.o util.o -F/Library/Frameworks/R.framework/.. -framework R -Wl,-framework -Wl,CoreFoundation
installing to /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/library/00LOCK-ternarynet/00new/ternarynet/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 (ternarynet)

Tests output

ternarynet.Rcheck/tests/test_smallmodel.Rout


R version 4.4.2 (2024-10-31) -- "Pile of Leaves"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: aarch64-apple-darwin20

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.

> library(testthat)
> library(ternarynet) 
> 
> smallmodel_score <- function() {
+ 
+     library(ternarynet)
+ 
+     i_exp <- as.integer(c(0,0,0, 0,0,0, 0,0,0, 0,0,0,
+                           1,1,1, 1,1,1, 1,1,1, 1,1,1,
+                           2,2,2, 2,2,2, 2,2,2, 2,2,2,
+                           3,3,3, 3,3,3, 3,3,3, 3,3,3,
+                           4,4,4, 4,4,4, 4,4,4, 4,4,4,
+                           5,5,5, 5,5,5, 5,5,5, 5,5,5,
+                           6,6,6, 6,6,6, 6,6,6, 6,6,6,
+                           7,7,7, 7,7,7, 7,7,7, 7,7,7))
+ 
+     i_node <- as.integer(c(0,0,0, 1,1,1, 2,2,2, 3,3,3,
+                            0,0,0, 1,1,1, 2,2,2, 3,3,3,
+                            0,0,0, 1,1,1, 2,2,2, 3,3,3,
+                            0,0,0, 1,1,1, 2,2,2, 3,3,3,
+                            0,0,0, 1,1,1, 2,2,2, 3,3,3,
+                            0,0,0, 1,1,1, 2,2,2, 3,3,3,
+                            0,0,0, 1,1,1, 2,2,2, 3,3,3,
+                            0,0,0, 1,1,1, 2,2,2, 3,3,3))
+ 
+     outcome <- as.integer(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))
+ 
+     value <- c(0,1,2, 0,1,2, 0,1,2, 0,1,2,
+                2,1,0, 0,1,2, 0,1,2, 0,1,2,
+                2,1,0, 2,1,0, 0,1,2, 0,1,2,
+                2,1,0, 2,1,0, 2,1,0, 0,1,2,
+                2,1,0, 2,1,0, 2,1,0, 2,1,0,
+                0,1,2, 2,1,0, 2,1,0, 2,1,0,
+                0,1,2, 0,1,2, 2,1,0, 2,1,0,
+                0,1,2, 0,1,2, 0,1,2, 2,1,0)
+ 
+     is_perturbation <- c(TRUE,TRUE,TRUE,  FALSE,FALSE,FALSE, FALSE,FALSE,FALSE, FALSE,FALSE,FALSE,
+                          FALSE,FALSE,FALSE,  TRUE,TRUE,TRUE, FALSE,FALSE,FALSE, FALSE,FALSE,FALSE,
+                          FALSE,FALSE,FALSE,  FALSE,FALSE,FALSE, TRUE,TRUE,TRUE, FALSE,FALSE,FALSE,
+                          FALSE,FALSE,FALSE,  FALSE,FALSE,FALSE, FALSE,FALSE,FALSE, TRUE,TRUE,TRUE,
+                          TRUE,TRUE,TRUE,  FALSE,FALSE,FALSE, FALSE,FALSE,FALSE, FALSE,FALSE,FALSE,
+                          FALSE,FALSE,FALSE,  TRUE,TRUE,TRUE, FALSE,FALSE,FALSE, FALSE,FALSE,FALSE,
+                          FALSE,FALSE,FALSE,  FALSE,FALSE,FALSE, TRUE,TRUE,TRUE, FALSE,FALSE,FALSE,
+                          FALSE,FALSE,FALSE,  FALSE,FALSE,FALSE, FALSE,FALSE,FALSE, TRUE,TRUE,TRUE)
+ 
+     indata <- data.frame(i_exp,i_node,outcome,value,is_perturbation)
+ 
+     results <- parallelFit(indata,
+                             max_parents=1,
+                             n_cycles=1000000,
+                             n_write=10,
+                             T_lo=0.001,
+                             T_hi=1.0,
+                             target_score=0,
+                             n_proc=1,
+                             logfile='try.log')
+     
+     lowest_temp_results <- results[[1]]
+ 
+     lowest_temp_results$unnormalized_score
+ 
+ }
>    
> test_that("smallmodel", {
+     expect_true(smallmodel_score() == 0)
+ })
Test passed 😀
> 
> proc.time()
   user  system elapsed 
  1.510   0.132   1.660

ternarynet.Rcheck/tests/test_smallmodel_2.Rout


R version 4.4.2 (2024-10-31) -- "Pile of Leaves"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: aarch64-apple-darwin20

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.

> library(testthat)
> library(ternarynet) 
> 
> smallmodel_2_score <- function() {
+ 
+     library(ternarynet)
+ 
+     i_exp <- as.integer(c(0,0,0, 0,0,0, 0,0,0,
+                         1,1,1, 1,1,1, 1,1,1,
+                         2,2,2, 2,2,2, 2,2,2,
+                         3,3,3, 3,3,3, 3,3,3,
+                         4,4,4, 4,4,4, 4,4,4,
+                         5,5,5, 5,5,5, 5,5,5,
+                         6,6,6, 6,6,6, 6,6,6,
+                         7,7,7, 7,7,7, 7,7,7,
+                         8,8,8, 8,8,8, 8,8,8,
+                         9,9,9, 9,9,9, 9,9,9,
+                         10,10,10, 10,10,10, 10,10,10,
+                         11,11,11, 11,11,11, 11,11,11,
+                         12,12,12, 12,12,12, 12,12,12,
+                         13,13,13, 13,13,13, 13,13,13,
+                         14,14,14, 14,14,14, 14,14,14,
+                         15,15,15, 15,15,15, 15,15,15,
+                         16,16,16, 16,16,16, 16,16,16,
+                         17,17,17, 17,17,17, 17,17,17))
+ 
+     i_node <- as.integer(c(0,0,0, 1,1,1, 2,2,2,
+                         0,0,0, 1,1,1, 2,2,2,
+                         0,0,0, 1,1,1, 2,2,2,
+                         0,0,0, 1,1,1, 2,2,2,
+                         0,0,0, 1,1,1, 2,2,2,
+                         0,0,0, 1,1,1, 2,2,2,
+                         0,0,0, 1,1,1, 2,2,2,
+                         0,0,0, 1,1,1, 2,2,2,
+                         0,0,0, 1,1,1, 2,2,2,
+                         0,0,0, 1,1,1, 2,2,2,
+                         0,0,0, 1,1,1, 2,2,2,
+                         0,0,0, 1,1,1, 2,2,2,
+                         0,0,0, 1,1,1, 2,2,2,
+                         0,0,0, 1,1,1, 2,2,2,
+                         0,0,0, 1,1,1, 2,2,2,
+                         0,0,0, 1,1,1, 2,2,2,
+                         0,0,0, 1,1,1, 2,2,2,
+                         0,0,0, 1,1,1, 2,2,2))
+ 
+     outcome <- as.integer(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))
+ 
+     value <- c(2,1,0, 1,0,1, 2,1,0,
+             1,0,1, 2,1,0, 0,1,2,
+             1,0,1, 1,0,1, 2,1,0,
+             0,1,2, 1,0,1, 0,1,2,
+             1,0,1, 0,1,2, 2,1,0,
+             1,0,1, 1,0,1, 0,1,2,
+             2,1,0, 1,0,1, 2,1,0,
+             0,1,2, 1,0,1, 0,1,2,
+             1,0,1, 2,1,0, 0,1,2,
+             1,0,1, 0,1,2, 2,1,0,
+             2,1,0, 2,1,0, 1,0,1,
+             0,1,2, 0,1,2, 1,0,1,
+             2,1,0, 0,1,2, 2,1,0,
+             0,1,2, 2,1,0, 0,1,2,
+             2,1,0, 1,0,1, 0,1,2,
+             0,1,2, 1,0,1, 2,1,0,
+             1,0,1, 2,1,0, 2,1,0,
+             1,0,1, 0,1,2, 0,1,2)
+ 
+     is_perturbation <- c(TRUE,TRUE,TRUE,  FALSE,FALSE,FALSE, FALSE,FALSE,FALSE,
+                         FALSE,FALSE,FALSE,  TRUE,TRUE,TRUE, FALSE,FALSE,FALSE,
+                         FALSE,FALSE,FALSE,  FALSE,FALSE,FALSE, TRUE,TRUE,TRUE,
+                         TRUE,TRUE,TRUE,  FALSE,FALSE,FALSE, FALSE,FALSE,FALSE,
+                         FALSE,FALSE,FALSE,  TRUE,TRUE,TRUE, FALSE,FALSE,FALSE,
+                         FALSE,FALSE,FALSE,  FALSE,FALSE,FALSE, TRUE,TRUE,TRUE,
+                         TRUE,TRUE,TRUE,  FALSE,FALSE,FALSE, TRUE,TRUE,TRUE,
+                         TRUE,TRUE,TRUE,  FALSE,FALSE,FALSE, TRUE,TRUE,TRUE,
+                         FALSE,FALSE,FALSE,  TRUE,TRUE,TRUE, TRUE,TRUE,TRUE,
+                         FALSE,FALSE,FALSE,  TRUE,TRUE,TRUE, TRUE,TRUE,TRUE,
+                         TRUE,TRUE,TRUE,  TRUE,TRUE,TRUE, FALSE,FALSE,FALSE,
+                         TRUE,TRUE,TRUE,  TRUE,TRUE,TRUE, FALSE,FALSE,FALSE,
+                         TRUE,TRUE,TRUE,  TRUE,TRUE,TRUE, FALSE,FALSE,FALSE,
+                         TRUE,TRUE,TRUE,  TRUE,TRUE,TRUE, FALSE,FALSE,FALSE,
+                         TRUE,TRUE,TRUE,  FALSE,FALSE,FALSE, TRUE,TRUE,TRUE,
+                         TRUE,TRUE,TRUE,  FALSE,FALSE,FALSE, TRUE,TRUE,TRUE,
+                         FALSE,FALSE,FALSE,  TRUE,TRUE,TRUE, TRUE,TRUE,TRUE,
+                         FALSE,FALSE,FALSE,  TRUE,TRUE,TRUE, TRUE,TRUE,TRUE)
+ 
+     indata <- data.frame(i_exp,i_node,outcome,value,is_perturbation)
+ 
+     results <- parallelFit(indata,
+                             max_parents=2,
+                             n_cycles=1000000,
+                             n_write=10,
+                             T_lo=0.001,
+                             T_hi=2.0,
+                             target_score=0,
+                             n_proc=1,
+                             logfile='try2.log')
+     
+     lowest_temp_results <- results[[1]]
+ 
+     lowest_temp_results$unnormalized_score
+ 
+ }
>    
> test_that("smallmodel_2", {
+     expect_true(smallmodel_2_score() == 0)
+ })
Test passed 🌈
> 
> proc.time()
   user  system elapsed 
  1.788   0.128   1.945

Example timings

ternarynet.Rcheck/ternarynet-Ex.timings

name	user	system	elapsed
attractorSummary	2.928	0.010	2.972
graphPosterior	2.914	0.010	2.950
parallelFit	0.314	0.013	0.332
plotFit	3.019	0.019	3.064
plotPost	2.948	0.013	3.033
plotTraces	2.916	0.010	2.950
predictAttractor	2.923	0.009	2.958
simulateSteadyState	0.001	0.000	0.002
ternaryFit-class	2.918	0.009	2.954
ternaryFitParameters-class	0.001	0.000	0.001
ternaryPost-class	2.916	0.011	2.990
tnetfit	2.876	0.009	2.919
tnetpost	2.916	0.009	2.961