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AB[C]DEFGHIJKLMNOPQRSTUVWXYZ

CHECK report for CellNOptR on tokay1

This page was generated on 2020-08-10 12:13:56 -0400 (Mon, 10 Aug 2020).

TO THE DEVELOPERS/MAINTAINERS OF THE CellNOptR PACKAGE: Please make sure to use the following settings in order to reproduce any error or warning you see on this page.
Package 245/1882HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
CellNOptR 1.35.0
A.Gabor
Snapshot Date: 2020-08-09 14:51:29 -0400 (Sun, 09 Aug 2020)
URL: https://git.bioconductor.org/packages/CellNOptR
Branch: master
Last Commit: 124d322
Last Changed Date: 2020-04-27 14:27:42 -0400 (Mon, 27 Apr 2020)
malbec1 Linux (Ubuntu 18.04.4 LTS) / x86_64  OK  OK  WARNINGS UNNEEDED, same version exists in internal repository
nebbiolo1 Linux (Ubuntu 20.04.1 LTS) / x86_64  OK  OK  WARNINGS 
tokay1 Windows Server 2012 R2 Standard / x64  OK  OK [ WARNINGS ] OK UNNEEDED, same version exists in internal repository
merida1 macOS 10.14.6 Mojave / x86_64  OK  OK  WARNINGS  OK UNNEEDED, same version exists in internal repository

Summary

Package: CellNOptR
Version: 1.35.0
Command: C:\Users\biocbuild\bbs-3.12-bioc\R\bin\R.exe CMD check --force-multiarch --install=check:CellNOptR.install-out.txt --library=C:\Users\biocbuild\bbs-3.12-bioc\R\library --no-vignettes --timings CellNOptR_1.35.0.tar.gz
StartedAt: 2020-08-10 00:33:56 -0400 (Mon, 10 Aug 2020)
EndedAt: 2020-08-10 00:38:02 -0400 (Mon, 10 Aug 2020)
EllapsedTime: 245.2 seconds
RetCode: 0
Status:  WARNINGS  
CheckDir: CellNOptR.Rcheck
Warnings: 5

Command output

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###
### Running command:
###
###   C:\Users\biocbuild\bbs-3.12-bioc\R\bin\R.exe CMD check --force-multiarch --install=check:CellNOptR.install-out.txt --library=C:\Users\biocbuild\bbs-3.12-bioc\R\library --no-vignettes --timings CellNOptR_1.35.0.tar.gz
###
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##############################################################################


* using log directory 'C:/Users/biocbuild/bbs-3.12-bioc/meat/CellNOptR.Rcheck'
* using R version 4.0.2 (2020-06-22)
* using platform: x86_64-w64-mingw32 (64-bit)
* using session charset: ISO8859-1
* using option '--no-vignettes'
* checking for file 'CellNOptR/DESCRIPTION' ... OK
* checking extension type ... Package
* this is package 'CellNOptR' version '1.35.0'
* checking package namespace information ... OK
* checking package dependencies ... NOTE
Depends: includes the non-default packages:
  'RBGL', 'graph', 'hash', 'RCurl', 'Rgraphviz', 'XML', 'ggplot2'
Adding so many packages to the search path is excessive and importing
selectively is preferable.
* 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 whether package 'CellNOptR' can be installed ... WARNING
Found the following significant warnings:
  simulatorT1.c:502:20: warning: suggest parentheses around comparison in operand of '&' [-Wparentheses]
See 'C:/Users/biocbuild/bbs-3.12-bioc/meat/CellNOptR.Rcheck/00install.out' for details.
* 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
* loading checks for arch 'i386'
** 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
* loading checks for arch 'x64'
** 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 ... WARNING
'::' or ':::' imports not declared from:
  'foreach' 'plyr'
'loadNamespace' or 'requireNamespace' call not declared from: 'plyr'
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... NOTE
build_sif_table_from_rule : rename_gates: no visible global function
  definition for 'mutate_if'
build_sif_table_from_rule : rename_gates: no visible global function
  definition for 'mutate'
build_sif_table_from_rule : rename_gates: no visible binding for global
  variable 'node_in'
build_sif_table_from_rule : rename_gates: no visible binding for global
  variable 'node_out'
build_sif_table_from_rule : simplify_gates: no visible global function
  definition for 'filter'
build_sif_table_from_rule : simplify_gates: no visible global function
  definition for 'mutate'
build_sif_table_from_rule : simplify_gates: no visible binding for
  global variable 'node_in'
build_sif_table_from_rule : simplify_gates: no visible binding for
  global variable 'node_out'
build_sif_table_from_rule : interpret_sif_list: no visible global
  function definition for 'setNames'
build_sif_table_from_rule : interpret_sif_list: no visible global
  function definition for 'mutate_if'
build_sif_table_from_rule : interpret_sif_list: no visible global
  function definition for 'filter'
build_sif_table_from_rule : interpret_sif_list: no visible global
  function definition for 'mutate'
build_sif_table_from_rule : interpret_sif_list: no visible binding for
  global variable 'num_or'
build_sif_table_from_rule : interpret_sif_list: no visible binding for
  global variable 'node_out'
build_sif_table_from_rule : interpret_sif_list: no visible binding for
  global variable 'new_node_out'
build_sif_table_from_rule : interpret_sif_list: no visible global
  function definition for 'unnest'
build_sif_table_from_rule : interpret_sif_list: no visible binding for
  global variable 'node_in'
build_sif_table_from_rule : interpret_sif_list: no visible binding for
  global variable 'new_node_in'
build_sif_table_from_rule : interpret_sif_list: no visible global
  function definition for 'distinct'
build_sif_table_from_rule : interpret_sif_list: no visible global
  function definition for 'group_by'
build_sif_table_from_rule : interpret_sif_list: no visible global
  function definition for 'summarise'
build_sif_table_from_rule : interpret_sif_list: no visible global
  function definition for 'select'
build_sif_table_from_rule : interpret_sif_list: no visible binding for
  global variable 'or_members'
build_sif_table_from_rule : interpret_sif_list: no visible global
  function definition for 'ungroup'
build_sif_table_from_rule : write_sif: no visible global function
  definition for 'mutate'
build_sif_table_from_rule : write_sif: no visible binding for global
  variable 'node_in'
build_sif_table_from_rule : write_sif: no visible binding for global
  variable 'node_out'
build_sif_table_from_rule : write_sif: no visible binding for global
  variable 'sign1'
build_sif_table_from_rule : write_sif: no visible binding for global
  variable 'sign2'
crossvalidateBoolean: no visible global function definition for 'error'
crossvalidateBoolean: no visible global function definition for
  '%dopar%'
readBND: no visible global function definition for 'read_file'
readBNET: no visible global function definition for 'rowwise'
readBNET: no visible global function definition for 'mutate'
readBNET: no visible binding for global variable 'factors'
readBNET: no visible binding for global variable 'i_and_gates'
readBNET: no visible global function definition for 'do'
readBNET: no visible binding for global variable '.'
readBNET: no visible global function definition for 'unnest'
readBNET: no visible global function definition for 'ungroup'
Undefined global functions or variables:
  %dopar% . distinct do error factors filter group_by i_and_gates
  mutate mutate_if new_node_in new_node_out node_in node_out num_or
  or_members read_file rowwise select setNames sign1 sign2 summarise
  ungroup unnest
Consider adding
  importFrom("stats", "filter", "setNames")
to your NAMESPACE file.
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... WARNING
Undocumented data sets:
  'cnodata' 'pknmodel'
All user-level objects in a package should have documentation entries.
See chapter 'Writing R documentation files' in the 'Writing R
Extensions' manual.
* checking for code/documentation mismatches ... WARNING
Codoc mismatches from documentation object 'normaliseCNOlist':
normaliseCNOlist
  Code: function(CNOlist, EC50Data = 0.5, HillCoef = 2, EC50Noise = 0,
                 detection = 0, saturation = Inf, changeTh = 0,
                 norm2TorCtrl = NULL, mode = "time", options =
                 list(rescale_negative = TRUE), verbose = FALSE)
  Docs: function(CNOlist, EC50Data = 0.5, HillCoef = 2, EC50Noise = 0,
                 detection = 0, saturation = Inf, changeTh = 0,
                 norm2TorCtrl = NULL, mode = "time", options =
                 list(rescale_negative = T), verbose = FALSE)
  Mismatches in argument default values:
    Name: 'options' Code: list(rescale_negative = TRUE) Docs: list(rescale_negative = T)

* checking Rd \usage sections ... WARNING
Bad \usage lines found in documentation object 'createAndRunILP':
  createAndRunILP <- function(model = model, 
                              midas = midas, 
                              cnolist = cnolist, 
                              accountForModelSize = accountForModelSize, 
                              sizeFac = sizeFac, 
                              source_path = source_path, 
                              mipGap = mipGap, 
                              relGap = relGap, 
                              timelimit = timelimit,
                              cplexPath = cplexPath, 
                              method = method, 
                              numSolutions = numSolutions, 
                              limitPop = limitPop, 
                              poolIntensity = poolIntensity, 
                              poolReplace = poolReplace)
Bad \usage lines found in documentation object 'createILPBitstringAll':
  createILPBitstringAll<- function(cplexSolutionFileName,
                                   y_vector,
                                   binary_variables)
Bad \usage lines found in documentation object 'create_binaries':
  create_binaries <- function(model, 
                              midas, 
                              numberOfExperiments, 
                              y_vector)
Bad \usage lines found in documentation object 'crossvalidateBoolean':
  crossvalidateBoolean = function(CNOlist,model,nfolds=10,foldid=NULL, 
                                  type=c('datapoint','experiment','observable'),timeIndex = 2,parallel=FALSE, ...)
Bad \usage lines found in documentation object 'ilpBinaryT1':
  ilpBinaryT1 <- function(cnolist, 
                          model, 
                          sizeFac = 0.0001, 
                          mipGap = 0, 
                          relGap = 0, 
                          timelimit = 3600, 
                          cplexPath, 
                          method = "quadratic",
                          numSolutions = 100, 
                          limitPop = 500, 
                          poolIntensity = 4, 
                          poolReplace = 2)
Bad \usage lines found in documentation object 'ilpBinaryT2':
  ilpBinaryT2 <- function(cnolist, 
                          model, 
                          sizeFac = 0.0001, 
                          mipGap = 0, 
                          relGap = 0, 
                          timelimit = 3600, 
                          cplexPath, 
                          method = "quadratic",
                          numSolutions = 100, 
                          limitPop = 500, 
                          poolIntensity = 4, 
                          poolReplace = 2)
Bad \usage lines found in documentation object 'ilpBinaryTN':
  ilpBinaryTN <- function(cnolist, 
                          model, 
                          sizeFac = 0.0001, 
                          mipGap = 0, 
                          relGap = 0, 
                          timelimit = 3600, 
                          cplexPath, 
                          method = "quadratic",
                          numSolutions = 100, 
                          limitPop = 500, 
                          poolIntensity = 0, 
                          poolReplace = 2,
                          timeIndices = c(1, 2))
Bad \usage lines found in documentation object 'invokeCPLEX':
  invokeCPLEX <- function(inputFileName, 
                          outputFileName, 
                          mipGap=mipGap, 
                          relGap = relGap, 
                          timelimit=timelimit, 
                          cplexPath = cplexPath, 
                          numSolutions = numSolutions, 
                          limitPop = limitPop, 
                          poolIntensity = poolIntensity, 
                          poolReplace = poolReplace)
Bad \usage lines found in documentation object 'writeFile':
  writeFile <- function(objectiveFunction,
                        constraints,
                        bounds,
                        binaries,
                        cplexPath)
Bad \usage lines found in documentation object 'writeObjectiveFunction':
  writeObjectiveFunction <- function(model, 
                                     midasExperimentPart, 
                                     y_vector=y_vector,
                                     accountForModelSize = TRUE, 
                                     sizeFac = .000001, 
                                     meansOfMeasurements_at_t0, 
                                     method = "quadratic" )
Bad \usage lines found in documentation object 'write_bounds':
  write_bounds <- function(model,
                           midasTreatmentPart,
                           y_vector,
                           binary_variables)
Bad \usage lines found in documentation object 'write_constraints':
  write_constraints <- function(model,
                                midasExperimentPart,
                                midasTreatmentPart,
                                reaction_sets,
                                y_vector, 
                                midas, 
                                binary_variables)

Functions with \usage entries need to have the appropriate \alias
entries, and all their arguments documented.
The \usage entries must correspond to syntactically valid R code.
See chapter 'Writing R documentation files' in the 'Writing R
Extensions' manual.
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of 'data' directory ... OK
* checking data for non-ASCII characters ... OK
* checking data for ASCII and uncompressed saves ... 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 for i386 is not available
Note: information on .o files for x64 is not available
File 'C:/Users/biocbuild/bbs-3.12-bioc/R/library/CellNOptR/libs/i386/CellNOptR.dll':
  Found 'abort', possibly from 'abort' (C), 'runtime' (Fortran)
File 'C:/Users/biocbuild/bbs-3.12-bioc/R/library/CellNOptR/libs/x64/CellNOptR.dll':
  Found 'abort', possibly from 'abort' (C), 'runtime' (Fortran)

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. 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 files in 'vignettes' ... OK
* checking examples ...
** running examples for arch 'i386' ... OK
** running examples for arch 'x64' ... OK
* checking for unstated dependencies in 'tests' ... OK
* checking tests ...
** running tests for arch 'i386' ...
  Running 'test_gaBinaryT1.R'
  Running 'test_gaBinaryT2.R'
  Running 'test_gaBinaryT3.R'
  Running 'test_import_rules.R'
  Running 'test_manySteadyStates.R'
  Running 'test_priorBitString.R'
  Running 'test_simulateTN.R'
 OK
** running tests for arch 'x64' ...
  Running 'test_gaBinaryT1.R'
  Running 'test_gaBinaryT2.R'
  Running 'test_gaBinaryT3.R'
  Running 'test_import_rules.R'
  Running 'test_manySteadyStates.R'
  Running 'test_priorBitString.R'
  Running 'test_simulateTN.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: 5 WARNINGs, 3 NOTEs
See
  'C:/Users/biocbuild/bbs-3.12-bioc/meat/CellNOptR.Rcheck/00check.log'
for details.



Installation output

CellNOptR.Rcheck/00install.out

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###
### Running command:
###
###   C:\cygwin\bin\curl.exe -O https://malbec1.bioconductor.org/BBS/3.12/bioc/src/contrib/CellNOptR_1.35.0.tar.gz && rm -rf CellNOptR.buildbin-libdir && mkdir CellNOptR.buildbin-libdir && C:\Users\biocbuild\bbs-3.12-bioc\R\bin\R.exe CMD INSTALL --merge-multiarch --build --library=CellNOptR.buildbin-libdir CellNOptR_1.35.0.tar.gz && C:\Users\biocbuild\bbs-3.12-bioc\R\bin\R.exe CMD INSTALL CellNOptR_1.35.0.zip && rm CellNOptR_1.35.0.tar.gz CellNOptR_1.35.0.zip
###
##############################################################################
##############################################################################


  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed

  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0
100 1405k  100 1405k    0     0  16.0M      0 --:--:-- --:--:-- --:--:-- 16.7M

install for i386

* installing *source* package 'CellNOptR' ...
** using staged installation
** libs
"C:/rtools40/mingw32/bin/"gcc  -I"C:/Users/BIOCBU~1/BBS-3~1.12-/R/include" -DNDEBUG     -I"C:/extsoft/include"  -I./include    -O2 -Wall  -std=gnu99 -mfpmath=sse -msse2 -mstackrealign -c getFit.c -o getFit.o
getFit.c: In function 'getFit':
getFit.c:47:6: warning: unused variable 'nReacs' [-Wunused-variable]
  int nReacs = INTEGER(nReacs_in)[0];
      ^~~~~~
getFit.c:42:6: warning: unused variable 'selCounter' [-Wunused-variable]
  int selCounter = 0;
      ^~~~~~~~~~
getFit.c:41:6: warning: unused variable 'selection' [-Wunused-variable]
  int selection[40];
      ^~~~~~~~~
getFit.c:40:6: warning: unused variable 'or_max' [-Wunused-variable]
  int or_max = 0;
      ^~~~~~
getFit.c:39:6: warning: unused variable 'curr_max' [-Wunused-variable]
  int curr_max = 0;
      ^~~~~~~~
"C:/rtools40/mingw32/bin/"gcc  -I"C:/Users/BIOCBU~1/BBS-3~1.12-/R/include" -DNDEBUG     -I"C:/extsoft/include"  -I./include    -O2 -Wall  -std=gnu99 -mfpmath=sse -msse2 -mstackrealign -c simulatorT1.c -o simulatorT1.o
simulatorT1.c: In function 'simulatorT1':
simulatorT1.c:502:20: warning: suggest parentheses around comparison in operand of '&' [-Wparentheses]
        if (MA[i][j]<0.95 & MA[i][j]>0.05)  // actually we could check if they are exatly 0 or 1
            ~~~~~~~~^~~~~
"C:/rtools40/mingw32/bin/"gcc  -I"C:/Users/BIOCBU~1/BBS-3~1.12-/R/include" -DNDEBUG     -I"C:/extsoft/include"  -I./include    -O2 -Wall  -std=gnu99 -mfpmath=sse -msse2 -mstackrealign -c simulatorTN.c -o simulatorTN.o
C:/rtools40/mingw32/bin/gcc -shared -s -static-libgcc -o CellNOptR.dll tmp.def getFit.o simulatorT1.o simulatorTN.o -LC:/extsoft/lib/i386 -LC:/extsoft/lib -LC:/Users/BIOCBU~1/BBS-3~1.12-/R/bin/i386 -lR
installing to C:/Users/biocbuild/bbs-3.12-bioc/meat/CellNOptR.buildbin-libdir/00LOCK-CellNOptR/00new/CellNOptR/libs/i386
** R
** data
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
  converting help for package 'CellNOptR'
    finding HTML links ... done
    CNORbool                                html  
    CNORwrap                                html  
    CNOdata                                 html  
    CNOlist-class                           html  
    CNOlist-methods                         html  
    CNOlistDREAM                            html  
    CNOlistToy                              html  
    CNOlistToy2                             html  
    CNOlistToyMMB                           html  
    CellNOptR-package                       html  
    DreamModel                              html  
    ToyModel                                html  
    ToyModel2                               html  
    buildBitString                          html  
    build_sif_table_from_rule               html  
    cSimulator                              html  
    checkSignals                            html  
    compressModel                           html  
    computeScoreT1                          html  
    computeScoreTN                          html  
    createAndRunILP                         html  
    createILPBitstringAll                   html  
    create_binaries                         html  
    crossInhibitedData                      html  
    crossvalidateBoolean                    html  
    cutAndPlot                              html  
    cutAndPlotResultsT1                     html  
    cutAndPlotResultsTN                     html  
    cutCNOlist                              html  
    cutModel                                html  
    cutNONC                                 html  
    cutSimList                              html  
    defaultParameters                       html  
    exhaustive                              html  
    expandGates                             html  
    findNONC                                html  
    gaBinaryT1                              html  
    gaBinaryT2                              html  
    gaBinaryTN                              html  
    getFit                                  html  
    graph2sif                               html  
    ilpBinaryT1                             html  
    ilpBinaryT2                             html  
    ilpBinaryTN                             html  
    indexFinder                             html  
    internals                               html  
    invokeCPLEX                             html  
    makeCNOlist                             html  
    mapBack                                 html  
    model2igraph                            html  
    model2sif                               html  
    normaliseCNOlist                        html  
    plot-methods                            html  
    plotCNOlist                             html  
    plotCNOlist2                            html  
    plotCNOlistLarge                        html  
    plotCNOlistLargePDF                     html  
    plotCNOlistPDF                          html  
    plotFit                                 html  
    plotModel                               html  
    plotOptimResults                        html  
    plotOptimResultsPDF                     html  
    plotOptimResultsPan                     html  
    prep4sim                                html  
    preprocessing                           html  
    randomizeCNOlist                        html  
    readBND                                 html  
    readBNET                                html  
    readMIDAS                               html  
    readSBMLQual                            html  
    readSIF                                 html  
    residualError                           html  
    sif2graph                               html  
    simulateT1                              html  
    simulateTN                              html  
    simulatorT0                             html  
    simulatorT1                             html  
    simulatorT2                             html  
    simulatorTN                             html  
    toSBML                                  html  
    writeDot                                html  
    writeFile                               html  
    writeMIDAS                              html  
    writeNetwork                            html  
    writeObjectiveFunction                  html  
    writeReport                             html  
    writeSIF                                html  
    writeScaffold                           html  
    write_bounds                            html  
    write_constraints                       html  
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path

install for x64

* installing *source* package 'CellNOptR' ...
** libs
"C:/rtools40/mingw64/bin/"gcc  -I"C:/Users/BIOCBU~1/BBS-3~1.12-/R/include" -DNDEBUG     -I"C:/extsoft/include"  -I./include    -O2 -Wall  -std=gnu99 -mfpmath=sse -msse2 -mstackrealign -c getFit.c -o getFit.o
getFit.c: In function 'getFit':
getFit.c:47:6: warning: unused variable 'nReacs' [-Wunused-variable]
  int nReacs = INTEGER(nReacs_in)[0];
      ^~~~~~
getFit.c:42:6: warning: unused variable 'selCounter' [-Wunused-variable]
  int selCounter = 0;
      ^~~~~~~~~~
getFit.c:41:6: warning: unused variable 'selection' [-Wunused-variable]
  int selection[40];
      ^~~~~~~~~
getFit.c:40:6: warning: unused variable 'or_max' [-Wunused-variable]
  int or_max = 0;
      ^~~~~~
getFit.c:39:6: warning: unused variable 'curr_max' [-Wunused-variable]
  int curr_max = 0;
      ^~~~~~~~
"C:/rtools40/mingw64/bin/"gcc  -I"C:/Users/BIOCBU~1/BBS-3~1.12-/R/include" -DNDEBUG     -I"C:/extsoft/include"  -I./include    -O2 -Wall  -std=gnu99 -mfpmath=sse -msse2 -mstackrealign -c simulatorT1.c -o simulatorT1.o
simulatorT1.c: In function 'simulatorT1':
simulatorT1.c:502:20: warning: suggest parentheses around comparison in operand of '&' [-Wparentheses]
        if (MA[i][j]<0.95 & MA[i][j]>0.05)  // actually we could check if they are exatly 0 or 1
            ~~~~~~~~^~~~~
"C:/rtools40/mingw64/bin/"gcc  -I"C:/Users/BIOCBU~1/BBS-3~1.12-/R/include" -DNDEBUG     -I"C:/extsoft/include"  -I./include    -O2 -Wall  -std=gnu99 -mfpmath=sse -msse2 -mstackrealign -c simulatorTN.c -o simulatorTN.o
C:/rtools40/mingw64/bin/gcc -shared -s -static-libgcc -o CellNOptR.dll tmp.def getFit.o simulatorT1.o simulatorTN.o -LC:/extsoft/lib/x64 -LC:/extsoft/lib -LC:/Users/BIOCBU~1/BBS-3~1.12-/R/bin/x64 -lR
installing to C:/Users/biocbuild/bbs-3.12-bioc/meat/CellNOptR.buildbin-libdir/CellNOptR/libs/x64
** testing if installed package can be loaded
* MD5 sums
packaged installation of 'CellNOptR' as CellNOptR_1.35.0.zip
* DONE (CellNOptR)
* installing to library 'C:/Users/biocbuild/bbs-3.12-bioc/R/library'
package 'CellNOptR' successfully unpacked and MD5 sums checked

Tests output

CellNOptR.Rcheck/tests_i386/test_gaBinaryT1.Rout


R version 4.0.2 (2020-06-22) -- "Taking Off Again"
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: i386-w64-mingw32/i386 (32-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.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers (cno-dev@ebi.ac.uk)
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/cno
> #
> ##############################################################################
> # $Id$
> 
> # This is a test of the ToyModel and gaBinaryT1
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: hash
hash-2.2.6.1 provided by Decision Patterns

Loading required package: RCurl
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> 
> # read data
> pknmodel = readSIF(system.file("ToyModel/ToyPKNMMB.sif", package="CellNOptR"))
> data = readMIDAS(system.file("ToyModel/ToyDataMMB.csv", package="CellNOptR"))
[1] "Your data set comprises  18 conditions (i.e. combinations of time point and treatment)"
[1] "Your data set comprises measurements on  7  different species"
[1] "Your data set comprises  4 stimuli/inhibitors and 1 cell line(s) ( mock )"
[1] "Please be aware that CNO only handles measurements on one cell line at this time."
[1] "Your data file contained 'NaN'. We have assumed that these were missing values and replaced them by NAs."
> cnolist = makeCNOlist(data, subfield=FALSE)
[1] "Please be aware that if you only have some conditions at time zero (e.g.only inhibitor/no inhibitor), the measurements for these conditions will be copied across matching conditions at t=0"
> 
> # preprocessing
> model = preprocessing(cnolist, pknmodel, verbose=FALSE)
> 
> # optimisation
> T1opt<-gaBinaryT1(CNOlist=cnolist,model=model,verbose=FALSE)
> 
> truebs =c(1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 0)
> print(truebs)
 [1] 1 1 0 1 1 0 1 1 0 0 1 1 1 0 0 0
> print(T1opt$bString)
 [1] 1 1 0 1 1 0 1 1 0 0 1 1 1 0 0 0
> 
> # testing valid output
> if (dist(rbind(T1opt$bString, truebs))>2){
+ stop("something wrong going on")
+ }
> 
> # extra call to simulateTN
> SimT1<-simulateTN(CNOlist=cnolist,model=model, bStrings=list(truebs))
> 
> 
> proc.time()
   user  system elapsed 
   3.65    0.14    3.78 

CellNOptR.Rcheck/tests_x64/test_gaBinaryT1.Rout


R version 4.0.2 (2020-06-22) -- "Taking Off Again"
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (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.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers (cno-dev@ebi.ac.uk)
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/cno
> #
> ##############################################################################
> # $Id$
> 
> # This is a test of the ToyModel and gaBinaryT1
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: hash
hash-2.2.6.1 provided by Decision Patterns

Loading required package: RCurl
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> 
> # read data
> pknmodel = readSIF(system.file("ToyModel/ToyPKNMMB.sif", package="CellNOptR"))
> data = readMIDAS(system.file("ToyModel/ToyDataMMB.csv", package="CellNOptR"))
[1] "Your data set comprises  18 conditions (i.e. combinations of time point and treatment)"
[1] "Your data set comprises measurements on  7  different species"
[1] "Your data set comprises  4 stimuli/inhibitors and 1 cell line(s) ( mock )"
[1] "Please be aware that CNO only handles measurements on one cell line at this time."
[1] "Your data file contained 'NaN'. We have assumed that these were missing values and replaced them by NAs."
> cnolist = makeCNOlist(data, subfield=FALSE)
[1] "Please be aware that if you only have some conditions at time zero (e.g.only inhibitor/no inhibitor), the measurements for these conditions will be copied across matching conditions at t=0"
> 
> # preprocessing
> model = preprocessing(cnolist, pknmodel, verbose=FALSE)
> 
> # optimisation
> T1opt<-gaBinaryT1(CNOlist=cnolist,model=model,verbose=FALSE)
> 
> truebs =c(1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 0)
> print(truebs)
 [1] 1 1 0 1 1 0 1 1 0 0 1 1 1 0 0 0
> print(T1opt$bString)
 [1] 1 1 0 1 1 0 1 1 0 0 1 1 1 0 0 0
> 
> # testing valid output
> if (dist(rbind(T1opt$bString, truebs))>2){
+ stop("something wrong going on")
+ }
> 
> # extra call to simulateTN
> SimT1<-simulateTN(CNOlist=cnolist,model=model, bStrings=list(truebs))
> 
> 
> proc.time()
   user  system elapsed 
   4.18    0.12    4.29 

CellNOptR.Rcheck/tests_i386/test_gaBinaryT2.Rout


R version 4.0.2 (2020-06-22) -- "Taking Off Again"
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: i386-w64-mingw32/i386 (32-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.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers (cno-dev@ebi.ac.uk)
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/cno
> #
> ##############################################################################
> # $Id$
> 
> # This is a test of the ToyModel and gaBinaryT1
> # 
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: hash
hash-2.2.6.1 provided by Decision Patterns

Loading required package: RCurl
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> data(CNOlistToy2, package="CellNOptR")
> data(ToyModel2, package="CellNOptR")
> cnolist = CNOlistToy2
> pknmodel = ToyModel2
> 
> model = preprocessing(cnolist, pknmodel, verbose=FALSE)
> T1opt<-gaBinaryT1(CNOlist=cnolist,model=model,verbose=FALSE)
> print(T1opt$bString)
 [1] 1 1 1 1 1 0 1 1 0 0 1 1 1 1 0 0 0 0
> 
> truebs = c(1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0)
> 
> 
> T2opt<-gaBinaryTN(CNOlist=cnolist,model=model,bStrings=list(truebs),verbose=FALSE)
> truebs2 = c(0, 0, 0, 1, 0, 0, 0)
> 
> print(T2opt$bString)
[1] 0 0 0 1 0 0 0
> 
> proc.time()
   user  system elapsed 
   4.06    0.26    4.31 

CellNOptR.Rcheck/tests_x64/test_gaBinaryT2.Rout


R version 4.0.2 (2020-06-22) -- "Taking Off Again"
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (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.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers (cno-dev@ebi.ac.uk)
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/cno
> #
> ##############################################################################
> # $Id$
> 
> # This is a test of the ToyModel and gaBinaryT1
> # 
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: hash
hash-2.2.6.1 provided by Decision Patterns

Loading required package: RCurl
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> data(CNOlistToy2, package="CellNOptR")
> data(ToyModel2, package="CellNOptR")
> cnolist = CNOlistToy2
> pknmodel = ToyModel2
> 
> model = preprocessing(cnolist, pknmodel, verbose=FALSE)
> T1opt<-gaBinaryT1(CNOlist=cnolist,model=model,verbose=FALSE)
> print(T1opt$bString)
 [1] 1 1 1 1 1 0 1 1 0 0 1 1 1 1 0 0 0 0
> 
> truebs = c(1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0)
> 
> 
> T2opt<-gaBinaryTN(CNOlist=cnolist,model=model,bStrings=list(truebs),verbose=FALSE)
> truebs2 = c(0, 0, 0, 1, 0, 0, 0)
> 
> print(T2opt$bString)
[1] 0 0 0 1 0 0 0
> 
> proc.time()
   user  system elapsed 
   4.12    0.21    4.34 

CellNOptR.Rcheck/tests_i386/test_gaBinaryT3.Rout


R version 4.0.2 (2020-06-22) -- "Taking Off Again"
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: i386-w64-mingw32/i386 (32-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.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers (cno-dev@ebi.ac.uk)
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/cno
> #
> ##############################################################################
> # $Id$
> 
> # This is a test of the ToyModel and gaBinaryT1
> # 
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: hash
hash-2.2.6.1 provided by Decision Patterns

Loading required package: RCurl
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> 
> pknmodel = readSIF(system.file("ToyModelT3/ToyModelT3.sif", package="CellNOptR"))
> cnolist = CNOlist(system.file("ToyModelT3/ToyDataT3.csv", package="CellNOptR"))
> model = preprocessing(cnolist, pknmodel, verbose=FALSE)
> 
> # expected values
> bestBS = c(1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0,0)
> bestBS2 <- c(0,0,0,0,0,0,1)
> bestBS3 <- c(0,0,1,0,0,0)
> 
> # just to check that the simulateTN function works 
> SimT1<-simulateTN(CNOlist=cnolist, model=model, bString=list(bestBS))
> SimT2<-simulateTN(CNOlist=cnolist, model=model, bStrings=list(bestBS,bestBS2))
> SimT3<-simulateTN(CNOlist=cnolist, model=model, bStrings=list(bestBS, bestBS2, bestBS3))
> 
> 
> # again, just to check that gaBinary works
> # run T1 first, 
> T1opt<-gaBinaryT1(CNOlist=cnolist,model=model,verbose=FALSE)
> # run T2
> T2opt<-gaBinaryTN(CNOlist=cnolist,model=model,bStrings=list(T1opt$bString),verbose=FALSE)
> # run T3
> T3opt<-gaBinaryTN(CNOlist=cnolist,model=model,bStrings=list(bestBS, bestBS2),verbose=FALSE)
> 
> print( T1opt$bScore)
             
4.545455e-05 
> print( T2opt$bScore)
[1] 5.454545e-05
> print( T3opt$bScore)
[1] 6.363636e-05
> # no using the hardcoded parameters, we can check the output of te scores that
> # must be tiny.
> score1 = computeScoreT1(cnolist, model, bString=bestBS)
> score2 = computeScoreTN(cnolist, model, bStrings=list(bestBS,bestBS2))
> score3 = computeScoreTN(cnolist, model, bStrings=list(bestBS,bestBS2, bestBS3))
> 
> 
> print(score1)
[1] 4.545455e-05
> print(score2)
[1] 5.454545e-05
> print(score3)
[1] 6.363636e-05
> if (score1>0.01 || score2>0.24 || score3>0.1){
+    # ideally, the score should all be close to 0. In practice, it's about 1e-5
+    # However, in the  T3 case, once in while, the score is 0.0953 hence the
+    # score3>0.1
+    stop("errore")
+ }
> cutAndPlot(cnolist, model,bStrings=list(bestBS),plotPDF=TRUE, tag="test1")
$filenames
$filenames[[1]]
[1] "test1_SimResultsT1_1_.pdf"


$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults
$simResults[[1]]
$simResults[[1]]$t0
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[1]]$t1
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0



> cutAndPlot(cnolist, model,bStrings=list(bestBS,bestBS2),plotPDF=TRUE, tag="test2")
$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$filenames
list()

$simResults
$simResults[[1]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[2]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0

$simResults[[3]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    0
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    0
[6,]    1    0    0    1    1    0
[7,]    0    0    0    0    0    0


> cutAndPlot(cnolist, model, bStrings=list(bestBS,bestBS2,bestBS3),plotPDF=TRUE, tag="test3")
$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$filenames
list()

$simResults
$simResults[[1]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[2]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0

$simResults[[3]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    0
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    0
[6,]    1    0    0    1    1    0
[7,]    0    0    0    0    0    0

$simResults[[4]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    1    1    0    0    0
[2,]    0    0    0    1    0    1
[3,]    0    1    1    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    1    0    1
[6,]    0    0    0    1    0    1
[7,]    0    0    0    0    0    0


> 
> 
> 
> warnings()
> 
> proc.time()
   user  system elapsed 
   7.45    0.29    7.73 

CellNOptR.Rcheck/tests_x64/test_gaBinaryT3.Rout


R version 4.0.2 (2020-06-22) -- "Taking Off Again"
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (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.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers (cno-dev@ebi.ac.uk)
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/cno
> #
> ##############################################################################
> # $Id$
> 
> # This is a test of the ToyModel and gaBinaryT1
> # 
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: hash
hash-2.2.6.1 provided by Decision Patterns

Loading required package: RCurl
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> 
> pknmodel = readSIF(system.file("ToyModelT3/ToyModelT3.sif", package="CellNOptR"))
> cnolist = CNOlist(system.file("ToyModelT3/ToyDataT3.csv", package="CellNOptR"))
> model = preprocessing(cnolist, pknmodel, verbose=FALSE)
> 
> # expected values
> bestBS = c(1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0,0)
> bestBS2 <- c(0,0,0,0,0,0,1)
> bestBS3 <- c(0,0,1,0,0,0)
> 
> # just to check that the simulateTN function works 
> SimT1<-simulateTN(CNOlist=cnolist, model=model, bString=list(bestBS))
> SimT2<-simulateTN(CNOlist=cnolist, model=model, bStrings=list(bestBS,bestBS2))
> SimT3<-simulateTN(CNOlist=cnolist, model=model, bStrings=list(bestBS, bestBS2, bestBS3))
> 
> 
> # again, just to check that gaBinary works
> # run T1 first, 
> T1opt<-gaBinaryT1(CNOlist=cnolist,model=model,verbose=FALSE)
> # run T2
> T2opt<-gaBinaryTN(CNOlist=cnolist,model=model,bStrings=list(T1opt$bString),verbose=FALSE)
> # run T3
> T3opt<-gaBinaryTN(CNOlist=cnolist,model=model,bStrings=list(bestBS, bestBS2),verbose=FALSE)
> 
> print( T1opt$bScore)
             
4.545455e-05 
> print( T2opt$bScore)
[1] 5.454545e-05
> print( T3opt$bScore)
[1] 6.363636e-05
> # no using the hardcoded parameters, we can check the output of te scores that
> # must be tiny.
> score1 = computeScoreT1(cnolist, model, bString=bestBS)
> score2 = computeScoreTN(cnolist, model, bStrings=list(bestBS,bestBS2))
> score3 = computeScoreTN(cnolist, model, bStrings=list(bestBS,bestBS2, bestBS3))
> 
> 
> print(score1)
[1] 4.545455e-05
> print(score2)
[1] 5.454545e-05
> print(score3)
[1] 6.363636e-05
> if (score1>0.01 || score2>0.24 || score3>0.1){
+    # ideally, the score should all be close to 0. In practice, it's about 1e-5
+    # However, in the  T3 case, once in while, the score is 0.0953 hence the
+    # score3>0.1
+    stop("errore")
+ }
> cutAndPlot(cnolist, model,bStrings=list(bestBS),plotPDF=TRUE, tag="test1")
$filenames
$filenames[[1]]
[1] "test1_SimResultsT1_1_.pdf"


$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults
$simResults[[1]]
$simResults[[1]]$t0
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[1]]$t1
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0



> cutAndPlot(cnolist, model,bStrings=list(bestBS,bestBS2),plotPDF=TRUE, tag="test2")
$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$filenames
list()

$simResults
$simResults[[1]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[2]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0

$simResults[[3]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    0
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    0
[6,]    1    0    0    1    1    0
[7,]    0    0    0    0    0    0


> cutAndPlot(cnolist, model, bStrings=list(bestBS,bestBS2,bestBS3),plotPDF=TRUE, tag="test3")
$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$filenames
list()

$simResults
$simResults[[1]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[2]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0

$simResults[[3]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    0
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    0
[6,]    1    0    0    1    1    0
[7,]    0    0    0    0    0    0

$simResults[[4]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    1    1    0    0    0
[2,]    0    0    0    1    0    1
[3,]    0    1    1    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    1    0    1
[6,]    0    0    0    1    0    1
[7,]    0    0    0    0    0    0


> 
> 
> 
> warnings()
> 
> proc.time()
   user  system elapsed 
   8.68    0.18    8.89 

CellNOptR.Rcheck/tests_i386/test_import_rules.Rout


R version 4.0.2 (2020-06-22) -- "Taking Off Again"
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: i386-w64-mingw32/i386 (32-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(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: hash
hash-2.2.6.1 provided by Decision Patterns

Loading required package: RCurl
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> 
> # test readBND ------------------------------------------------------------------
> 
> required_pcks = list("plyr","dplyr","tidyr","readr")
> 
> if(!all(unlist(lapply(required_pcks,requireNamespace)))){
+ 	print("the following packages need to be installed to use readBND:")	
+ 	print(unlist(required_pcks))
+ 	print("Please, install the packages manually for this feature.")
+ 
+ }else{
+ 	#download.file("https://maboss.curie.fr/pub/example.bnd",destfile = "./tests/example.bnd")
+ 	#model = readBND("./tests/example.bnd")
+ 	model = readBND("https://maboss.curie.fr/pub/example.bnd")
+ 	
+ 	# basic checks for being a CellNoptR model:
+ 	stopifnot(is.list(model))
+ 	stopifnot(length(model)==4)
+ 	stopifnot(all(names(model) %in% c("reacID","namesSpecies","interMat","notMat")))
+ 	stopifnot(length(model$reacID)==ncol(model$interMat))
+ 	stopifnot(length(model$reacID)==ncol(model$notMat))
+ 	stopifnot(length(model$namesSpecies)==nrow(model$interMat))
+ 	stopifnot(length(model$namesSpecies)==nrow(model$notMat))
+ 	
+ 	#plotModel(model)
+ 	
+ 	
+ 	
+ }
Loading required namespace: plyr
Loading required namespace: tidyr
Loading required namespace: readr
Loading required package: plyr

Attaching package: 'plyr'

The following object is masked from 'package:graph':

    join

Loading required package: dplyr

Attaching package: 'dplyr'

The following objects are masked from 'package:plyr':

    arrange, count, desc, failwith, id, mutate, rename, summarise,
    summarize

The following object is masked from 'package:graph':

    union

The following objects are masked from 'package:BiocGenerics':

    combine, intersect, setdiff, union

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

Loading required package: tidyr

Attaching package: 'tidyr'

The following object is masked from 'package:RCurl':

    complete

Loading required package: readr
Warning messages:
1: In readBND("https://maboss.curie.fr/pub/example.bnd") :
  experimental BND reader. Use with care (July 2018).
2: In readBNET(fh) :
  experimental BNET reader. Use with care (February 2018).
3: `cols` is now required when using unnest().
Please use `cols = c(sif_df)` 
> 
> 
> 
> proc.time()
   user  system elapsed 
   2.40    0.25    3.00 

CellNOptR.Rcheck/tests_x64/test_import_rules.Rout


R version 4.0.2 (2020-06-22) -- "Taking Off Again"
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (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(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: hash
hash-2.2.6.1 provided by Decision Patterns

Loading required package: RCurl
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> 
> # test readBND ------------------------------------------------------------------
> 
> required_pcks = list("plyr","dplyr","tidyr","readr")
> 
> if(!all(unlist(lapply(required_pcks,requireNamespace)))){
+ 	print("the following packages need to be installed to use readBND:")	
+ 	print(unlist(required_pcks))
+ 	print("Please, install the packages manually for this feature.")
+ 
+ }else{
+ 	#download.file("https://maboss.curie.fr/pub/example.bnd",destfile = "./tests/example.bnd")
+ 	#model = readBND("./tests/example.bnd")
+ 	model = readBND("https://maboss.curie.fr/pub/example.bnd")
+ 	
+ 	# basic checks for being a CellNoptR model:
+ 	stopifnot(is.list(model))
+ 	stopifnot(length(model)==4)
+ 	stopifnot(all(names(model) %in% c("reacID","namesSpecies","interMat","notMat")))
+ 	stopifnot(length(model$reacID)==ncol(model$interMat))
+ 	stopifnot(length(model$reacID)==ncol(model$notMat))
+ 	stopifnot(length(model$namesSpecies)==nrow(model$interMat))
+ 	stopifnot(length(model$namesSpecies)==nrow(model$notMat))
+ 	
+ 	#plotModel(model)
+ 	
+ 	
+ 	
+ }
Loading required namespace: plyr
Loading required namespace: tidyr
Loading required namespace: readr
Loading required package: plyr

Attaching package: 'plyr'

The following object is masked from 'package:graph':

    join

Loading required package: dplyr

Attaching package: 'dplyr'

The following objects are masked from 'package:plyr':

    arrange, count, desc, failwith, id, mutate, rename, summarise,
    summarize

The following object is masked from 'package:graph':

    union

The following objects are masked from 'package:BiocGenerics':

    combine, intersect, setdiff, union

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

Loading required package: tidyr

Attaching package: 'tidyr'

The following object is masked from 'package:RCurl':

    complete

Loading required package: readr
Warning messages:
1: In readBND("https://maboss.curie.fr/pub/example.bnd") :
  experimental BND reader. Use with care (July 2018).
2: In readBNET(fh) :
  experimental BNET reader. Use with care (February 2018).
3: `cols` is now required when using unnest().
Please use `cols = c(sif_df)` 
> 
> 
> 
> proc.time()
   user  system elapsed 
   3.57    0.21    4.14 

CellNOptR.Rcheck/tests_i386/test_manySteadyStates.Rout


R version 4.0.2 (2020-06-22) -- "Taking Off Again"
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: i386-w64-mingw32/i386 (32-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.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers (cno-dev@ebi.ac.uk)
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/software.html
> #
> ##############################################################################
> # $Id$
> 
> # This test runs optimisation using Boolean logic at different time points
> # Author: S.Schrier, T.Cokelaer
> 
> 
> 
> manySteadyStates <-function(
+   CNOlist,
+   model,
+   sizeFac=0.0001,
+   NAFac=1,
+   popSize=50,
+   pMutation=0.5,
+   maxTime=60,
+   maxGens=500,
+   stallGenMax=100,
+   selPress=1.2,
+   elitism=5,
+   relTol=0.1,
+   verbose=FALSE,
+   priorBitString=NULL){
+ 
+ 
+     #initialize Opt array
+     Opt<-list()    
+     #initialze a bString array  
+     bStrings<-list()
+     simRes<-list()
+ 
+ 
+     T1opt<-gaBinaryT1(CNOlist=CNOlist,
+                   model=model,
+                   stallGenMax=stallGenMax,
+                   sizeFac=sizeFac,
+                   NAFac=NAFac,
+                   popSize=popSize,
+                   pMutation=pMutation,
+                   maxTime=maxTime,
+                   maxGens=maxGens,
+                   selPress=selPress,
+                   elitism=elitism,
+                   relTol=relTol,
+                   verbose=verbose,
+                   priorBitString=priorBitString)
+ 
+     Opt[[1]]<-T1opt
+     simT1<-simulateTN(CNOlist=CNOlist, model=model, bStrings=list(T1opt$bString))
+     simRes[[1]]<-simT1
+     bStrings[[1]] = T1opt$bString
+ 
+     if (length(CNOlist@signals)>2){
+         for(i in 3:length(CNOlist@signals)){
+             Opt[[i-1]]<-gaBinaryTN(CNOlist=CNOlist,
+                         model=model,
+                         bStrings=bStrings,
+                         stallGenMax=stallGenMax,
+                         maxTime=maxTime,
+                         sizeFac=sizeFac,
+                         NAFac=NAFac,
+                         popSize=popSize,
+                         pMutation=pMutation,
+                         maxGens=maxGens,
+                         selPress=selPress,
+                         elitism=elitism,
+                         relTol=relTol,
+                         verbose=verbose,
+                         priorBitString=priorBitString)
+ 
+             bStrings[[i-1]] = Opt[[i-1]]$bString
+ 
+             simRes[[i]]<-simulateTN(CNOlist,model,bStrings)
+         }
+     }   
+     return(list(bStrings=bStrings, Opt=Opt, simRes=simRes))
+ }
> 
> 
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: hash
hash-2.2.6.1 provided by Decision Patterns

Loading required package: RCurl
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> 
> # one steady state
> data(CNOlistToy, package="CellNOptR")
> cnolist = CNOlist(CNOlistToy)
> data(ToyModel, package="CellNOptR")
> results = manySteadyStates(cnolist, ToyModel)
> print(results$bStrings)
[[1]]
 [1] 1 1 1 1 1 0 1 0 1 1 1 1 0 1 1 0

> 
> # two steady state
> data(CNOlistToy2, package="CellNOptR")
> cnolist = CNOlist(CNOlistToy2)
> data(ToyModel2, package="CellNOptR")
> results = manySteadyStates(cnolist, ToyModel2)
> print(results$bStrings)
[[1]]
 [1] 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 0

[[2]]
[1] 0 0 1

> 
> # 3 steady state
> ToyModel3 = readSIF(system.file("ToyModelT3/ToyModelT3.sif", package="CellNOptR"))
> cnolist = CNOlist(system.file("ToyModelT3/ToyDataT3.csv", package="CellNOptR"))
> results = manySteadyStates(cnolist, ToyModel3)
> print(results$bStrings)
[[1]]
 [1] 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 0

[[2]]
[1] 0 0 0

[[3]]
[1] 0 0 0

> 
> 
> 
> proc.time()
   user  system elapsed 
  11.31    0.20   11.48 

CellNOptR.Rcheck/tests_x64/test_manySteadyStates.Rout


R version 4.0.2 (2020-06-22) -- "Taking Off Again"
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (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.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers (cno-dev@ebi.ac.uk)
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/software.html
> #
> ##############################################################################
> # $Id$
> 
> # This test runs optimisation using Boolean logic at different time points
> # Author: S.Schrier, T.Cokelaer
> 
> 
> 
> manySteadyStates <-function(
+   CNOlist,
+   model,
+   sizeFac=0.0001,
+   NAFac=1,
+   popSize=50,
+   pMutation=0.5,
+   maxTime=60,
+   maxGens=500,
+   stallGenMax=100,
+   selPress=1.2,
+   elitism=5,
+   relTol=0.1,
+   verbose=FALSE,
+   priorBitString=NULL){
+ 
+ 
+     #initialize Opt array
+     Opt<-list()    
+     #initialze a bString array  
+     bStrings<-list()
+     simRes<-list()
+ 
+ 
+     T1opt<-gaBinaryT1(CNOlist=CNOlist,
+                   model=model,
+                   stallGenMax=stallGenMax,
+                   sizeFac=sizeFac,
+                   NAFac=NAFac,
+                   popSize=popSize,
+                   pMutation=pMutation,
+                   maxTime=maxTime,
+                   maxGens=maxGens,
+                   selPress=selPress,
+                   elitism=elitism,
+                   relTol=relTol,
+                   verbose=verbose,
+                   priorBitString=priorBitString)
+ 
+     Opt[[1]]<-T1opt
+     simT1<-simulateTN(CNOlist=CNOlist, model=model, bStrings=list(T1opt$bString))
+     simRes[[1]]<-simT1
+     bStrings[[1]] = T1opt$bString
+ 
+     if (length(CNOlist@signals)>2){
+         for(i in 3:length(CNOlist@signals)){
+             Opt[[i-1]]<-gaBinaryTN(CNOlist=CNOlist,
+                         model=model,
+                         bStrings=bStrings,
+                         stallGenMax=stallGenMax,
+                         maxTime=maxTime,
+                         sizeFac=sizeFac,
+                         NAFac=NAFac,
+                         popSize=popSize,
+                         pMutation=pMutation,
+                         maxGens=maxGens,
+                         selPress=selPress,
+                         elitism=elitism,
+                         relTol=relTol,
+                         verbose=verbose,
+                         priorBitString=priorBitString)
+ 
+             bStrings[[i-1]] = Opt[[i-1]]$bString
+ 
+             simRes[[i]]<-simulateTN(CNOlist,model,bStrings)
+         }
+     }   
+     return(list(bStrings=bStrings, Opt=Opt, simRes=simRes))
+ }
> 
> 
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: hash
hash-2.2.6.1 provided by Decision Patterns

Loading required package: RCurl
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> 
> # one steady state
> data(CNOlistToy, package="CellNOptR")
> cnolist = CNOlist(CNOlistToy)
> data(ToyModel, package="CellNOptR")
> results = manySteadyStates(cnolist, ToyModel)
> print(results$bStrings)
[[1]]
 [1] 1 1 1 1 1 0 1 0 1 1 1 1 0 1 1 0

> 
> # two steady state
> data(CNOlistToy2, package="CellNOptR")
> cnolist = CNOlist(CNOlistToy2)
> data(ToyModel2, package="CellNOptR")
> results = manySteadyStates(cnolist, ToyModel2)
> print(results$bStrings)
[[1]]
 [1] 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 0

[[2]]
[1] 0 0 1

> 
> # 3 steady state
> ToyModel3 = readSIF(system.file("ToyModelT3/ToyModelT3.sif", package="CellNOptR"))
> cnolist = CNOlist(system.file("ToyModelT3/ToyDataT3.csv", package="CellNOptR"))
> results = manySteadyStates(cnolist, ToyModel3)
> print(results$bStrings)
[[1]]
 [1] 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 0

[[2]]
[1] 0 0 0

[[3]]
[1] 0 0 0

> 
> 
> 
> proc.time()
   user  system elapsed 
  10.65    0.17   10.81 

CellNOptR.Rcheck/tests_i386/test_priorBitString.Rout


R version 4.0.2 (2020-06-22) -- "Taking Off Again"
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: i386-w64-mingw32/i386 (32-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.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers (cno-dev@ebi.ac.uk)
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/software.html
> #
> ##############################################################################
> # $Id$
> # test if the priorBitString is used correctly in gaBinaryT1DO NOT MODIFY please (TC, June 2012)
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: hash
hash-2.2.6.1 provided by Decision Patterns

Loading required package: RCurl
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> 
> 
> # Load T1 and T2 data. Only T1 is used here below.
> data(ToyModel, package="CellNOptR")
> data(CNOlistToy, package="CellNOptR")
> cnolist = CNOlistToy
> pknmodel = ToyModel
> 
> # preprocessing
> model = preprocessing(cnolist, pknmodel)
[1] "The following species are measured: Akt, Hsp27, NFkB, Erk, p90RSK, Jnk, cJun"
[1] "The following species are stimulated: EGF, TNFa"
[1] "The following species are inhibited: Raf, PI3K"
[1] "The following species are not observable and/or not controllable: "
> 
> # computeScoreT1 with init string made of ones
> initBstring<-rep(1,length(model$reacID))
> 
> 
> 
> priorBitString = rep(NA, length(model$reacID))
> priorBitString[1] = 0
> priorBitString[2] = 0
> priorBitString[3] = 0
> priorBitString[4] = 0
> 
> # Second, you call the gaBinaryT1 function by providing the priorBitString
> # argument:
> ToyT1opt<-gaBinaryT1(CNOlist=CNOlistToy, model=model,
+     initBstring=initBstring, maxGens=10, popSize=5,
+     verbose=FALSE, priorBitString=priorBitString)
> 
> 
> for (x in ToyT1opt$results[,7]){
+      x = strsplit(x ,",")[[1]]
+      if (as.numeric(x[[1]]) != 0 ){ stop("first element must be 0")}
+      if (as.numeric(x[[2]]) != 0 ){ stop("second element must be 0")}
+      if (as.numeric(x[[3]]) != 0 ){ stop("tirdh element must be 0")}
+      if (as.numeric(x[[4]]) != 0 ){ stop("fourth element must be 0")}
+ }
> 
> 
> 
> proc.time()
   user  system elapsed 
   2.21    0.15    2.35 

CellNOptR.Rcheck/tests_x64/test_priorBitString.Rout


R version 4.0.2 (2020-06-22) -- "Taking Off Again"
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (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.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers (cno-dev@ebi.ac.uk)
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/software.html
> #
> ##############################################################################
> # $Id$
> # test if the priorBitString is used correctly in gaBinaryT1DO NOT MODIFY please (TC, June 2012)
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: hash
hash-2.2.6.1 provided by Decision Patterns

Loading required package: RCurl
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> 
> 
> # Load T1 and T2 data. Only T1 is used here below.
> data(ToyModel, package="CellNOptR")
> data(CNOlistToy, package="CellNOptR")
> cnolist = CNOlistToy
> pknmodel = ToyModel
> 
> # preprocessing
> model = preprocessing(cnolist, pknmodel)
[1] "The following species are measured: Akt, Hsp27, NFkB, Erk, p90RSK, Jnk, cJun"
[1] "The following species are stimulated: EGF, TNFa"
[1] "The following species are inhibited: Raf, PI3K"
[1] "The following species are not observable and/or not controllable: "
> 
> # computeScoreT1 with init string made of ones
> initBstring<-rep(1,length(model$reacID))
> 
> 
> 
> priorBitString = rep(NA, length(model$reacID))
> priorBitString[1] = 0
> priorBitString[2] = 0
> priorBitString[3] = 0
> priorBitString[4] = 0
> 
> # Second, you call the gaBinaryT1 function by providing the priorBitString
> # argument:
> ToyT1opt<-gaBinaryT1(CNOlist=CNOlistToy, model=model,
+     initBstring=initBstring, maxGens=10, popSize=5,
+     verbose=FALSE, priorBitString=priorBitString)
> 
> 
> for (x in ToyT1opt$results[,7]){
+      x = strsplit(x ,",")[[1]]
+      if (as.numeric(x[[1]]) != 0 ){ stop("first element must be 0")}
+      if (as.numeric(x[[2]]) != 0 ){ stop("second element must be 0")}
+      if (as.numeric(x[[3]]) != 0 ){ stop("tirdh element must be 0")}
+      if (as.numeric(x[[4]]) != 0 ){ stop("fourth element must be 0")}
+ }
> 
> 
> 
> proc.time()
   user  system elapsed 
   1.75    0.21    1.95 

CellNOptR.Rcheck/tests_i386/test_simulateTN.Rout


R version 4.0.2 (2020-06-22) -- "Taking Off Again"
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: i386-w64-mingw32/i386 (32-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.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers (cno-dev@ebi.ac.uk)
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/software.html
> #
> ##############################################################################
> # $Id$
> # This test runs T3 data set to compute the scores (must be zero), and run
> # cutAndPlot plot on each time points.
> 
> # DO NOT MODIFY please (TC, June 2012)
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: hash
hash-2.2.6.1 provided by Decision Patterns

Loading required package: RCurl
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> pknmodel = readSIF(system.file("ToyModelT3/ToyModelT3.sif", package="CellNOptR"))
> cnolist = CNOlist(system.file("ToyModelT3/ToyDataT3.csv",  package="CellNOptR"))
> 
> model = preprocessing(cnolist, pknmodel)
[1] "The following species are measured: AKT, MEK, ERK, P38, JNK, NFKB"
[1] "The following species are stimulated: TGFa, TNFa"
[1] "The following species are inhibited: PI3K, MEK"
[1] "The following species are not observable and/or not controllable: "
> 
> # computeScoreT1 with init string made of ones
> verbose = FALSE
> initBstring<-rep(1,length(model$reacID))
> score = computeScoreT1(cnolist, model,bString=rep(1,length(model$reacID)))
> bestBS = c(1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0,0)
> bestBS2 <- c(0,0,0,0,0,0,1) # given by running gaBinaryTN
> bestBS3 <- c(0,0,1,0,0,0) # given by running gaBinaryTN
> 
> 
> SimT1<-simulateTN(CNOlist=cnolist, model=model, bString=list(bestBS))
> SimT2<-simulateTN(CNOlist=cnolist, model=model, bStrings=list(bestBS, bestBS2))
> SimT3<-simulateTN(CNOlist=cnolist, model=model, bStrings=list(bestBS, bestBS2, bestBS3))
> 
> score1 = computeScoreT1(cnolist, model, bString=bestBS)
> score2 = computeScoreTN(cnolist, model, bStrings=list(bestBS,bestBS2))
> score3 = computeScoreTN(cnolist, model, bStrings=list(bestBS,bestBS2, bestBS3))
> 
> print(score1)
[1] 4.545455e-05
> print(score2)
[1] 5.454545e-05
> print(score3)
[1] 6.363636e-05
> if (score1>0.01 || score2>0.024){
+    stop("errore")
+ }
> cutAndPlot(cnolist, model,bStrings=list(bestBS),plotPDF=TRUE, tag="test1")
$filenames
$filenames[[1]]
[1] "test1_SimResultsT1_1_.pdf"


$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults
$simResults[[1]]
$simResults[[1]]$t0
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[1]]$t1
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0



> cutAndPlot(cnolist, model,bStrings=list(bestBS,bestBS2),plotPDF=TRUE, tag="test2")
$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$filenames
list()

$simResults
$simResults[[1]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[2]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0

$simResults[[3]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    0
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    0
[6,]    1    0    0    1    1    0
[7,]    0    0    0    0    0    0


> cutAndPlot(cnolist, model, bStrings=list(bestBS,bestBS2,bestBS3),plotPDF=TRUE, tag="test3")
$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$filenames
list()

$simResults
$simResults[[1]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[2]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0

$simResults[[3]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    0
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    0
[6,]    1    0    0    1    1    0
[7,]    0    0    0    0    0    0

$simResults[[4]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    1    1    0    0    0
[2,]    0    0    0    1    0    1
[3,]    0    1    1    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    1    0    1
[6,]    0    0    0    1    0    1
[7,]    0    0    0    0    0    0


> 
> 
> proc.time()
   user  system elapsed 
   2.76    0.14    2.89 

CellNOptR.Rcheck/tests_x64/test_simulateTN.Rout


R version 4.0.2 (2020-06-22) -- "Taking Off Again"
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)

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You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

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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.
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> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers (cno-dev@ebi.ac.uk)
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/software.html
> #
> ##############################################################################
> # $Id$
> # This test runs T3 data set to compute the scores (must be zero), and run
> # cutAndPlot plot on each time points.
> 
> # DO NOT MODIFY please (TC, June 2012)
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: hash
hash-2.2.6.1 provided by Decision Patterns

Loading required package: RCurl
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> pknmodel = readSIF(system.file("ToyModelT3/ToyModelT3.sif", package="CellNOptR"))
> cnolist = CNOlist(system.file("ToyModelT3/ToyDataT3.csv",  package="CellNOptR"))
> 
> model = preprocessing(cnolist, pknmodel)
[1] "The following species are measured: AKT, MEK, ERK, P38, JNK, NFKB"
[1] "The following species are stimulated: TGFa, TNFa"
[1] "The following species are inhibited: PI3K, MEK"
[1] "The following species are not observable and/or not controllable: "
> 
> # computeScoreT1 with init string made of ones
> verbose = FALSE
> initBstring<-rep(1,length(model$reacID))
> score = computeScoreT1(cnolist, model,bString=rep(1,length(model$reacID)))
> bestBS = c(1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0,0)
> bestBS2 <- c(0,0,0,0,0,0,1) # given by running gaBinaryTN
> bestBS3 <- c(0,0,1,0,0,0) # given by running gaBinaryTN
> 
> 
> SimT1<-simulateTN(CNOlist=cnolist, model=model, bString=list(bestBS))
> SimT2<-simulateTN(CNOlist=cnolist, model=model, bStrings=list(bestBS, bestBS2))
> SimT3<-simulateTN(CNOlist=cnolist, model=model, bStrings=list(bestBS, bestBS2, bestBS3))
> 
> score1 = computeScoreT1(cnolist, model, bString=bestBS)
> score2 = computeScoreTN(cnolist, model, bStrings=list(bestBS,bestBS2))
> score3 = computeScoreTN(cnolist, model, bStrings=list(bestBS,bestBS2, bestBS3))
> 
> print(score1)
[1] 4.545455e-05
> print(score2)
[1] 5.454545e-05
> print(score3)
[1] 6.363636e-05
> if (score1>0.01 || score2>0.024){
+    stop("errore")
+ }
> cutAndPlot(cnolist, model,bStrings=list(bestBS),plotPDF=TRUE, tag="test1")
$filenames
$filenames[[1]]
[1] "test1_SimResultsT1_1_.pdf"


$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults
$simResults[[1]]
$simResults[[1]]$t0
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[1]]$t1
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0



> cutAndPlot(cnolist, model,bStrings=list(bestBS,bestBS2),plotPDF=TRUE, tag="test2")
$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$filenames
list()

$simResults
$simResults[[1]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[2]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0

$simResults[[3]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    0
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    0
[6,]    1    0    0    1    1    0
[7,]    0    0    0    0    0    0


> cutAndPlot(cnolist, model, bStrings=list(bestBS,bestBS2,bestBS3),plotPDF=TRUE, tag="test3")
$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$filenames
list()

$simResults
$simResults[[1]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[2]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0

$simResults[[3]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    0
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    0
[6,]    1    0    0    1    1    0
[7,]    0    0    0    0    0    0

$simResults[[4]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    1    1    0    0    0
[2,]    0    0    0    1    0    1
[3,]    0    1    1    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    1    0    1
[6,]    0    0    0    1    0    1
[7,]    0    0    0    0    0    0


> 
> 
> proc.time()
   user  system elapsed 
   3.00    0.17    3.17 

Example timings

CellNOptR.Rcheck/examples_i386/CellNOptR-Ex.timings

nameusersystemelapsed
CNORbool2.370.032.41
CNORwrap1.140.071.25
CNOdata000
CNOlist-class0.110.010.12
CNOlist-methods0.110.020.13
CellNOptR-package4.130.014.14
buildBitString000
build_sif_table_from_rule2.200.022.22
checkSignals0.000.020.01
compressModel000
computeScoreT10.020.000.02
computeScoreTN0.030.000.03
crossInhibitedData000
crossvalidateBoolean3.970.824.81
cutAndPlot0.180.020.21
cutAndPlotResultsT10.250.000.25
cutAndPlotResultsTN0.350.000.34
cutNONC000
defaultParameters0.010.000.02
exhaustive0.440.000.43
expandGates000
findNONC000
gaBinaryT10.270.000.26
gaBinaryT20.140.000.14
gaBinaryTN0.120.000.13
getFit0.000.020.02
ilpBinaryT10.210.000.20
ilpBinaryT20.280.020.30
ilpBinaryTN0.250.000.25
indexFinder0.010.000.01
makeCNOlist0.020.000.02
normaliseCNOlist000
plot-methods0.090.000.09
plotCNOlist0.060.000.06
plotCNOlist22.020.012.03
plotCNOlistLarge0.220.000.22
plotCNOlistLargePDF0.390.000.42
plotCNOlistPDF0.060.000.07
plotFit0.050.000.04
plotModel0.370.000.38
plotOptimResults0.080.020.09
plotOptimResultsPDF0.110.000.11
plotOptimResultsPan0.190.000.19
prep4sim000
preprocessing000
randomizeCNOlist0.000.010.02
readMIDAS0.010.000.01
readSBMLQual000
readSIF000
residualError000
simulateT10.020.000.02
simulateTN000
simulatorT00.020.000.01
simulatorT1000
simulatorT20.000.020.02
simulatorTN000
writeDot0.040.000.04
writeMIDAS0.000.010.02
writeNetwork0.050.000.04
writeReport0.030.000.03
writeSIF000
writeScaffold0.030.020.05

CellNOptR.Rcheck/examples_x64/CellNOptR-Ex.timings

nameusersystemelapsed
CNORbool1.830.001.83
CNORwrap1.080.081.20
CNOdata000
CNOlist-class0.120.000.13
CNOlist-methods0.110.020.12
CellNOptR-package4.750.044.80
buildBitString000
build_sif_table_from_rule2.380.032.41
checkSignals000
compressModel0.010.000.01
computeScoreT10.020.000.02
computeScoreTN0.010.000.01
crossInhibitedData0.000.020.02
crossvalidateBoolean3.720.624.34
cutAndPlot0.220.000.22
cutAndPlotResultsT10.270.000.27
cutAndPlotResultsTN0.360.000.36
cutNONC0.010.000.01
defaultParameters000
exhaustive0.440.020.46
expandGates0.010.000.01
findNONC000
gaBinaryT10.270.020.28
gaBinaryT20.120.000.12
gaBinaryTN0.130.010.14
getFit0.010.000.02
ilpBinaryT10.170.020.19
ilpBinaryT20.180.000.17
ilpBinaryTN0.180.000.19
indexFinder000
makeCNOlist0.000.010.01
normaliseCNOlist0.020.000.02
plot-methods0.090.000.09
plotCNOlist0.080.000.08
plotCNOlist22.090.002.09
plotCNOlistLarge0.430.000.42
plotCNOlistLargePDF0.230.000.30
plotCNOlistPDF0.060.000.06
plotFit0.070.000.07
plotModel0.390.020.40
plotOptimResults0.100.000.09
plotOptimResultsPDF0.120.000.13
plotOptimResultsPan0.200.010.22
prep4sim0.000.020.01
preprocessing000
randomizeCNOlist0.020.000.02
readMIDAS0.010.000.01
readSBMLQual000
readSIF000
residualError0.020.000.02
simulateT1000
simulateTN0.000.010.01
simulatorT00.020.000.02
simulatorT1000
simulatorT2000
simulatorTN0.000.020.02
writeDot0.060.000.06
writeMIDAS0.010.000.01
writeNetwork0.070.000.07
writeReport0.030.000.07
writeSIF0.010.000.02
writeScaffold0.050.020.06