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This page was generated on 2022-01-17 11:12:14 -0500 (Mon, 17 Jan 2022).

HostnameOSArch (*)R versionInstalled pkgs
nebbiolo1Linux (Ubuntu 20.04.4 LTS)x86_64R Under development (unstable) (2022-01-05 r81451) -- "Unsuffered Consequences" 4161
riesling1Windows Server 2019 Standardx64R Under development (unstable) (2021-11-21 r81221) -- "Unsuffered Consequences" 4056
palomino3Windows Server 2022 Datacenterx64R Under development (unstable) (2021-12-21 r81400 ucrt) -- "Unsuffered Consequences" 3998
merida1macOS 10.14.6 Mojavex86_64R Under development (unstable) (2022-01-05 r81451) -- "Unsuffered Consequences" 4115
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? here 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 1935/2074HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
ternarynet 1.39.0  (landing page)
McCall N. Matthew
Snapshot Date: 2022-01-16 13:55:18 -0500 (Sun, 16 Jan 2022)
git_url: https://git.bioconductor.org/packages/ternarynet
git_branch: master
git_last_commit: 5e7b0fe
git_last_commit_date: 2021-10-26 12:02:04 -0500 (Tue, 26 Oct 2021)
nebbiolo1Linux (Ubuntu 20.04.4 LTS) / x86_64  OK    OK    OK  UNNEEDED, same version is already published
riesling1Windows Server 2019 Standard / x64  OK    OK    OK    OK  
palomino3Windows Server 2022 Datacenter / x64  OK    OK    OK    OK  NO, package depends on 'BiocParallel' which is not available
merida1macOS 10.14.6 Mojave / x86_64  OK    OK    OK    OK  UNNEEDED, same version is already published

Summary

Package: ternarynet
Version: 1.39.0
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_1.39.0.tar.gz
StartedAt: 2022-01-17 06:29:03 -0500 (Mon, 17 Jan 2022)
EndedAt: 2022-01-17 06:31:25 -0500 (Mon, 17 Jan 2022)
EllapsedTime: 142.7 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_1.39.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/Users/biocbuild/bbs-3.15-bioc/meat/ternarynet.Rcheck’
* using R Under development (unstable) (2022-01-05 r81451)
* 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 ‘1.39.0’
* 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 ... NOTE
Found the following hidden files and directories:
  .git_fetch_output.txt
  .git_merge_output.txt
These were most likely included in error. See section ‘Package
structure’ in the ‘Writing R Extensions’ manual.
* 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    8.466  0.014   8.494
attractorSummary  8.382  0.013   8.405
plotFit           8.096  0.017   8.121
plotPost          8.051  0.021   8.093
plotTraces        7.998  0.012   8.018
tnetpost          7.960  0.014   7.983
predictAttractor  7.951  0.013   7.971
ternaryFit-class  7.917  0.013   7.938
ternaryPost-class 7.915  0.013   7.939
tnetfit           7.702  0.015   7.728
* 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: 2 NOTEs
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:25:9: warning: unused variable 'ipause' [-Wunused-variable]
    int ipause;
        ^
tnetpost.cc:27:9: warning: unused variable 'm0fit' [-Wunused-variable]
    int m0fit;
        ^
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: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:30:13: warning: unused variable 'stage_count' [-Wunused-variable]
    int l0, stage_count, tempi, jtrans, nTransition;
            ^
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 Under development (unstable) (2022-01-05 r81451) -- "Unsuffered Consequences"
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 
  2.234   0.149   2.361 

ternarynet.Rcheck/tests/test_smallmodel_2.Rout


R Under development (unstable) (2022-01-05 r81451) -- "Unsuffered Consequences"
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 
  2.340   0.154   2.478 

Example timings

ternarynet.Rcheck/ternarynet-Ex.timings

nameusersystemelapsed
attractorSummary8.3820.0138.405
graphPosterior8.4660.0148.494
parallelFit0.3650.0120.378
plotFit8.0960.0178.121
plotPost8.0510.0218.093
plotTraces7.9980.0128.018
predictAttractor7.9510.0137.971
simulateSteadyState0.0020.0000.003
ternaryFit-class7.9170.0137.938
ternaryFitParameters-class0.0030.0010.003
ternaryPost-class7.9150.0137.939
tnetfit7.7020.0157.728
tnetpost7.9600.0147.983