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This page was generated on 2023-10-16 11:37:37 -0400 (Mon, 16 Oct 2023).

HostnameOSArch (*)R versionInstalled pkgs
nebbiolo1Linux (Ubuntu 22.04.2 LTS)x86_644.3.1 (2023-06-16) -- "Beagle Scouts" 4626
palomino3Windows Server 2022 Datacenterx644.3.1 (2023-06-16 ucrt) -- "Beagle Scouts" 4379
merida1macOS 12.6.4 Montereyx86_644.3.1 (2023-06-16) -- "Beagle Scouts" 4395
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

Package 2085/2230HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
ternarynet 1.44.0  (landing page)
McCall N. Matthew
Snapshot Date: 2023-10-15 14:00:13 -0400 (Sun, 15 Oct 2023)
git_url: https://git.bioconductor.org/packages/ternarynet
git_branch: RELEASE_3_17
git_last_commit: 96129e2
git_last_commit_date: 2023-04-25 10:22:21 -0400 (Tue, 25 Apr 2023)
nebbiolo1Linux (Ubuntu 22.04.2 LTS) / x86_64  OK    OK    WARNINGS  UNNEEDED, same version is already published
palomino3Windows Server 2022 Datacenter / x64  OK    OK    OK    OK  UNNEEDED, same version is already published
merida1macOS 12.6.4 Monterey / x86_64  OK    OK    WARNINGS    OK  UNNEEDED, same version is already published
kjohnson2macOS 12.6.1 Monterey / arm64see weekly results here

CHECK results for ternarynet on merida1


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: 1.44.0
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_1.44.0.tar.gz
StartedAt: 2023-10-16 07:58:16 -0400 (Mon, 16 Oct 2023)
EndedAt: 2023-10-16 08:00:55 -0400 (Mon, 16 Oct 2023)
EllapsedTime: 158.7 seconds
RetCode: 0
Status:   WARNINGS  
CheckDir: ternarynet.Rcheck
Warnings: 1

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_1.44.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/Users/biocbuild/bbs-3.17-bioc/meat/ternarynet.Rcheck’
* using R version 4.3.1 (2023-06-16)
* using platform: x86_64-apple-darwin20 (64-bit)
* R was compiled by
    Apple clang version 14.0.3 (clang-1403.0.22.14.1)
    GNU Fortran (GCC) 12.2.0
* running under: macOS Monterey 12.6.4
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘ternarynet/DESCRIPTION’ ... OK
* this is package ‘ternarynet’ version ‘1.44.0’
* 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 14.0.0 (clang-1400.0.29.202)’
* used C++ compiler: ‘Apple clang version 14.0.0 (clang-1400.0.29.202)’
* 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 R 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 ... WARNING
Note: information on .o files is not available
File ‘/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library/ternarynet/libs/ternarynet.so’:
  Found ‘___sprintf_chk’, possibly from ‘sprintf’ (C)

Compiled code should not call entry points which might terminate R nor
write to stdout/stderr instead of to the console, nor use Fortran I/O
nor system RNGs nor [v]sprintf. The detected symbols are linked into
the code but might come from libraries and not actually be called.

See ‘Writing portable packages’ in the ‘Writing R Extensions’ manual.
* checking sizes of PDF files under ‘inst/doc’ ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
                   user system elapsed
plotFit           6.720  0.038   8.547
plotPost          6.652  0.028   8.430
plotTraces        6.633  0.026   8.347
predictAttractor  6.626  0.026   8.392
attractorSummary  6.605  0.028   8.436
graphPosterior    6.570  0.026   8.329
tnetpost          6.570  0.022   8.111
ternaryPost-class 6.559  0.023   8.308
ternaryFit-class  6.550  0.023   8.302
tnetfit           6.545  0.027   8.478
* 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 in ‘inst/doc’ ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE

Status: 1 WARNING, 1 NOTE
See
  ‘/Users/biocbuild/bbs-3.17-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/4.3-x86_64/Resources/library’
* installing *source* package ‘ternarynet’ ...
** using staged installation
** libs
using C compiler: ‘Apple clang version 14.0.0 (clang-1400.0.29.202)’
using C++ compiler: ‘Apple clang version 14.0.0 (clang-1400.0.29.202)’
using SDK: ‘MacOSX11.3.sdk’
clang -arch x86_64 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG   -I/opt/R/x86_64/include    -fPIC  -falign-functions=64 -Wall -g -O2  -c array.c -o array.o
clang -arch x86_64 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG   -I/opt/R/x86_64/include    -fPIC  -falign-functions=64 -Wall -g -O2  -c gn.c -o gn.o
clang -arch x86_64 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG   -I/opt/R/x86_64/include    -fPIC  -falign-functions=64 -Wall -g -O2  -c gn_Rwrap.c -o gn_Rwrap.o
clang -arch x86_64 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG   -I/opt/R/x86_64/include    -fPIC  -falign-functions=64 -Wall -g -O2  -c init.c -o init.o
clang++ -arch x86_64 -std=gnu++17 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG   -I/opt/R/x86_64/include    -fPIC  -falign-functions=64 -Wall -g -O2  -c tnetfit.cc -o tnetfit.o
tnetfit.cc:73:39: warning: unused variable 'tempi' [-Wunused-variable]
    int nOutcomes=3, l0, stage_count, tempi, jtrans, nTransition;
                                      ^
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;
                                     ^
4 warnings generated.
clang++ -arch x86_64 -std=gnu++17 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG   -I/opt/R/x86_64/include    -fPIC  -falign-functions=64 -Wall -g -O2  -c tnetfuncs.cc -o tnetfuncs.o
tnetfuncs.cc:435:5: warning: unused variable 'ipause' [-Wunused-variable]
int ipause;
    ^
tnetfuncs.cc:427:5: warning: unused variable 'tableWidth' [-Wunused-variable]
int tableWidth = powi(nOutcomes,maxDegree);
    ^
tnetfuncs.cc:521:16: warning: unused variable 'i' [-Wunused-variable]
        int m1, m2, i;
                    ^
tnetfuncs.cc:517:6: warning: unused variable 'ipause' [-Wunused-variable]
        int ipause; 
            ^
4 warnings generated.
clang++ -arch x86_64 -std=gnu++17 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG   -I/opt/R/x86_64/include    -fPIC  -falign-functions=64 -Wall -g -O2  -c tnetpost.cc -o tnetpost.o
tnetpost.cc:36:21: warning: variable 'xSeedFit' set but not used [-Wunused-but-set-variable]
    int m0, mdelta, xSeedFit;
                    ^
tnetpost.cc:30:41: warning: unused variable 'nTransition' [-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:30:26: warning: unused variable 'tempi' [-Wunused-variable]
    int l0, stage_count, tempi, jtrans, nTransition;
                         ^
tnetpost.cc:150:10: warning: variable 'minDump' set but not used [-Wunused-but-set-variable]
    bool minDump = true;
         ^
tnetpost.cc:30:13: warning: unused variable 'stage_count' [-Wunused-variable]
    int l0, stage_count, tempi, jtrans, nTransition;
            ^
tnetpost.cc:44:9: warning: variable 'ne' set but not used [-Wunused-but-set-variable]
    int ne, maxDegree;
        ^
tnetpost.cc:40:34: warning: variable 'rho' 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:28:32: warning: variable 'minScore' set but not used [-Wunused-but-set-variable]
    double newScore, oldScore, minScore, finalScore;
                               ^
tnetpost.cc:40:21: warning: variable 'chi0' set but not used [-Wunused-but-set-variable]
    double epsilon, chi0, delta, rho; 
                    ^
tnetpost.cc:27:9: warning: unused variable 'm0fit' [-Wunused-variable]
    int m0fit;
        ^
tnetpost.cc:40:12: warning: variable 'epsilon' set but not used [-Wunused-but-set-variable]
    double epsilon, chi0, delta, rho; 
           ^
tnetpost.cc:30:9: warning: unused variable 'l0' [-Wunused-variable]
    int l0, stage_count, tempi, jtrans, nTransition;
        ^
tnetpost.cc:28:42: warning: unused variable 'finalScore' [-Wunused-variable]
    double newScore, oldScore, minScore, finalScore;
                                         ^
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
                        ^
tnetpost.cc:38:9: warning: variable 'perturbationType' set but not used [-Wunused-but-set-variable]
    int perturbationType, scoreType, backupStage;
        ^
tnetpost.cc:39:19: warning: variable 'maxTransition' set but not used [-Wunused-but-set-variable]
    int maxStage, maxTransition;
                  ^
tnetpost.cc:25:9: warning: unused variable 'ipause' [-Wunused-variable]
    int ipause;
        ^
tnetpost.cc:39:9: warning: variable 'maxStage' set but not used [-Wunused-but-set-variable]
    int maxStage, maxTransition;
        ^
tnetpost.cc:38:38: warning: variable 'backupStage' 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;
                          ^
22 warnings generated.
clang -arch x86_64 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG   -I/opt/R/x86_64/include    -fPIC  -falign-functions=64 -Wall -g -O2  -c util.c -o util.o
clang++ -arch x86_64 -std=gnu++17 -dynamiclib -Wl,-headerpad_max_install_names -undefined dynamic_lookup -single_module -multiply_defined suppress -L/Library/Frameworks/R.framework/Resources/lib -L/opt/R/x86_64/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/4.3-x86_64/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 4.3.1 (2023-06-16) -- "Beagle Scouts"
Copyright (C) 2023 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin20 (64-bit)

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 
  2.967   0.247   3.915

ternarynet.Rcheck/tests/test_smallmodel_2.Rout


R version 4.3.1 (2023-06-16) -- "Beagle Scouts"
Copyright (C) 2023 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin20 (64-bit)

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 
  3.285   0.248   4.333

Example timings

ternarynet.Rcheck/ternarynet-Ex.timings

nameusersystemelapsed
attractorSummary6.6050.0288.436
graphPosterior6.5700.0268.329
parallelFit0.3520.0350.483
plotFit6.7200.0388.547
plotPost6.6520.0288.430
plotTraces6.6330.0268.347
predictAttractor6.6260.0268.392
simulateSteadyState0.0030.0020.008
ternaryFit-class6.5500.0238.302
ternaryFitParameters-class0.0030.0010.004
ternaryPost-class6.5590.0238.308
tnetfit6.5450.0278.478
tnetpost6.5700.0228.111