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This page was generated on 2022-10-19 13:23:50 -0400 (Wed, 19 Oct 2022).

HostnameOSArch (*)R versionInstalled pkgs
nebbiolo1Linux (Ubuntu 20.04.5 LTS)x86_644.2.1 (2022-06-23) -- "Funny-Looking Kid" 4386
palomino3Windows Server 2022 Datacenterx644.2.1 (2022-06-23 ucrt) -- "Funny-Looking Kid" 4138
merida1macOS 10.14.6 Mojavex86_644.2.1 (2022-06-23) -- "Funny-Looking Kid" 4205
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 merida1


To the developers/maintainers of the ternarynet package:
- Please 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 How and When does the builder pull? When will my changes propagate? for more information.
- Make sure to use the following settings in order to reproduce any error or warning you see on this page.

raw results

Package 1995/2140HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
ternarynet 1.40.0  (landing page)
McCall N. Matthew
Snapshot Date: 2022-10-18 13:55:19 -0400 (Tue, 18 Oct 2022)
git_url: https://git.bioconductor.org/packages/ternarynet
git_branch: RELEASE_3_15
git_last_commit: a1cdafd
git_last_commit_date: 2022-04-26 11:10:19 -0400 (Tue, 26 Apr 2022)
nebbiolo1Linux (Ubuntu 20.04.5 LTS) / x86_64  OK    OK    OK  UNNEEDED, same version is already published
palomino3Windows Server 2022 Datacenter / x64  OK    OK    OK    OK  UNNEEDED, same version is already published
merida1macOS 10.14.6 Mojave / x86_64  OK    OK    OK    OK  UNNEEDED, same version is already published

Summary

Package: ternarynet
Version: 1.40.0
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_1.40.0.tar.gz
StartedAt: 2022-10-19 08:50:25 -0400 (Wed, 19 Oct 2022)
EndedAt: 2022-10-19 08:52:43 -0400 (Wed, 19 Oct 2022)
EllapsedTime: 137.9 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_1.40.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/Users/biocbuild/bbs-3.15-bioc/meat/ternarynet.Rcheck’
* using R version 4.2.1 (2022-06-23)
* using platform: x86_64-apple-darwin17.0 (64-bit)
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘ternarynet/DESCRIPTION’ ... OK
* this is package ‘ternarynet’ version ‘1.40.0’
* 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 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
* 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 ... 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
Examples with CPU (user + system) or elapsed time > 5s
                   user system elapsed
graphPosterior    8.373  0.011   8.393
plotPost          8.243  0.016   8.269
plotFit           8.234  0.016   8.259
attractorSummary  8.231  0.014   8.256
ternaryFit-class  8.078  0.012   8.101
tnetpost          8.015  0.012   8.035
ternaryPost-class 7.991  0.012   8.012
predictAttractor  7.977  0.014   8.002
tnetfit           7.959  0.012   7.979
plotTraces        7.709  0.014   7.733
* 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 NOTE
See
  ‘/Users/biocbuild/bbs-3.15-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/4.2/Resources/library’
* installing *source* package ‘ternarynet’ ...
** using staged installation
** libs
clang -mmacosx-version-min=10.13 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG   -I/usr/local/include   -fPIC  -Wall -g -O2  -c array.c -o array.o
clang -mmacosx-version-min=10.13 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG   -I/usr/local/include   -fPIC  -Wall -g -O2  -c gn.c -o gn.o
clang -mmacosx-version-min=10.13 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG   -I/usr/local/include   -fPIC  -Wall -g -O2  -c gn_Rwrap.c -o gn_Rwrap.o
clang -mmacosx-version-min=10.13 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG   -I/usr/local/include   -fPIC  -Wall -g -O2  -c init.c -o init.o
clang++ -mmacosx-version-min=10.13 -std=gnu++14 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG   -I/usr/local/include   -fPIC  -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;
                                      ^
1 warning generated.
clang++ -mmacosx-version-min=10.13 -std=gnu++14 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG   -I/usr/local/include   -fPIC  -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++ -mmacosx-version-min=10.13 -std=gnu++14 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG   -I/usr/local/include   -fPIC  -Wall -g -O2  -c tnetpost.cc -o tnetpost.o
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:28:42: warning: unused variable 'finalScore' [-Wunused-variable]
    double newScore, oldScore, minScore, finalScore;
                                         ^
tnetpost.cc:30:26: warning: unused variable 'tempi' [-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:30:9: warning: unused variable 'l0' [-Wunused-variable]
    int l0, stage_count, tempi, jtrans, nTransition;
        ^
tnetpost.cc:27:9: warning: unused variable 'm0fit' [-Wunused-variable]
    int m0fit;
        ^
tnetpost.cc:25:9: warning: unused variable 'ipause' [-Wunused-variable]
    int ipause;
        ^
8 warnings generated.
clang -mmacosx-version-min=10.13 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG   -I/usr/local/include   -fPIC  -Wall -g -O2  -c util.c -o util.o
clang++ -mmacosx-version-min=10.13 -std=gnu++14 -dynamiclib -Wl,-headerpad_max_install_names -undefined dynamic_lookup -single_module -multiply_defined suppress -L/Library/Frameworks/R.framework/Resources/lib -L/usr/local/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/4.2/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 4.2.1 (2022-06-23) -- "Funny-Looking Kid"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin17.0 (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 
  2.579   0.167   2.731 

ternarynet.Rcheck/tests/test_smallmodel_2.Rout


R version 4.2.1 (2022-06-23) -- "Funny-Looking Kid"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin17.0 (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 
  2.839   0.162   2.979 

Example timings

ternarynet.Rcheck/ternarynet-Ex.timings

nameusersystemelapsed
attractorSummary8.2310.0148.256
graphPosterior8.3730.0118.393
parallelFit0.4180.0240.444
plotFit8.2340.0168.259
plotPost8.2430.0168.269
plotTraces7.7090.0147.733
predictAttractor7.9770.0148.002
simulateSteadyState0.0020.0000.003
ternaryFit-class8.0780.0128.101
ternaryFitParameters-class0.0020.0000.003
ternaryPost-class7.9910.0128.012
tnetfit7.9590.0127.979
tnetpost8.0150.0128.035