* using log directory ‘/data/blackswan/ripley/R/packages/tests-devel/resautonet.Rcheck’
* using R Under development (unstable) (2020-07-16 r78868)
* using platform: x86_64-pc-linux-gnu (64-bit)
* using session charset: UTF-8
* checking for file ‘resautonet/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘resautonet’ version ‘1.0’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for executable files ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘resautonet’ can be installed ... [24s/24s] OK
* checking package directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking R files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking loading without being on the library search path ... OK
* checking dependencies in R code ... NOTE
Namespace in Imports field not imported from: ‘dplyr’
  All declared Imports should be used.
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd line widths ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking line endings in 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 use of SHLIB_OPENMP_*FLAGS in Makefiles ... OK
* checking compilation flags used ... OK
* checking compiled code ... OK
* checking examples ... OK
* checking examples with --run-donttest ... ERROR
Running examples in ‘resautonet-Ex.R’ failed
The error most likely occurred in:

> ### Name: resautonet-package
> ### Title: Autoencoder-based Residual Deep Network with Keras Support
> ### Aliases: resautonet-package resautonet
> ### Keywords: package
> 
> ### ** Examples
> 
> ## No test: 
> ###### Generate the data
> #Sample size 
> library(dplyr)

Attaching package: ‘dplyr’

The following objects are masked from ‘package:stats’:

    filter, lag

The following objects are masked from ‘package:base’:

    intersect, setdiff, setequal, union

> 
> n=4000 
> #Number of features 
> nfea=4
> #Generate the dataset with normalization of the covariates  
> cmdStr="data.frame("
> for(i in c(1:nfea)){
+   var=runif(n,runif(1,1,5),runif(1,100,200))
+   varName=paste("x",i,sep="")
+   assign(varName,var)
+   cmdStr=paste(cmdStr,varName,"n=(",varName,"-mean(",varName,"))/sd(",varName,")",sep="")
+   if(i<nfea)
+     cmdStr=paste(cmdStr,",",sep="")
+ }
> cmdStr=paste(cmdStr,")",sep="")
> dataset=eval(expr=parse(text=cmdStr))
> y=sin(x1)+2*cos(x2)+x3^2+sqrt(x4)+rnorm(n)
> #Normalization of y 
> yn=(y-mean(y))/sd(y)
> #Obtain the index of training and test samples 
> prop=0.2
> test_index=sample(c(1:n),size=ceiling(n*prop))
> train_index=setdiff(c(1:n),test_index) 
> 
> #Obtain the training and test dataset 
> x_train=as.matrix(dataset[train_index,])
> y_train=as.vector(yn[train_index])
>  
> x_test=as.matrix(dataset[test_index,])
> y_test=as.vector(yn[test_index])
> 
> #Define the metric, r2 in keras 
> metric_r2= keras::custom_metric("rsquared", function(y_true, y_pred) {
+   SS_res =keras::k_sum(keras::k_square(y_true-y_pred ))
+   SS_tot =keras::k_sum(keras::k_square(( y_true - keras::k_mean(y_true))))
+   return ( 1 - SS_res/(SS_tot + keras::k_epsilon()))
+ })
> 
> #Define the autoencoder-based deep network 
> nout=1;nodes=c(16,8,4,2);mdropout=0.2;isres=TRUE;outtype=0;fact="linear"
> acts=rep("relu",length(nodes));fact="linear";reg=NULL;batchnorm=TRUE
> autoresmodel=resautonet::AutoEncoderModel(nfea,nout,nodes,
+       acts,mdropout,reg,batchnorm,isres,outtype,fact=fact)
Error: Installation of TensorFlow not found.

Python environments searched for 'tensorflow' package:
 /usr/bin/python3.8
 /usr/bin/python3.8

You can install TensorFlow using the install_tensorflow() function.
Execution halted
* checking PDF version of manual ... OK
* checking for non-standard things in the check directory ... OK
* checking for detritus in the temp directory ... OK
* DONE

Status: 1 ERROR, 1 NOTE
See
  ‘/data/blackswan/ripley/R/packages/tests-devel/resautonet.Rcheck/00check.log’
for details.

Command exited with non-zero status 1
Time 0:48.25, 44.31 + 8.48