* using log directory ‘/data/blackswan/ripley/R/packages/tests-devel/FuncNN.Rcheck’
* using R Under development (unstable) (2024-04-15 r86425)
* using platform: x86_64-pc-linux-gnu
* R was compiled by
    gcc (GCC) 13.2.1 20240316 (Red Hat 13.2.1-7)
    GNU Fortran (GCC) 13.2.1 20240316 (Red Hat 13.2.1-7)
* running under: Fedora Linux 38 (Workstation Edition)
* using session charset: UTF-8
* checking for file ‘FuncNN/DESCRIPTION’ ... OK
* this is package ‘FuncNN’ 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 ‘FuncNN’ can be installed ... [20s/21s] 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 code 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: ‘foreach’
  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 ... [30s/31s] 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 contents of ‘data’ directory ... OK
* checking data for non-ASCII characters ... OK
* checking LazyData ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking examples ... OK
* checking examples with --run-donttest ... [10s/10s] ERROR
Running examples in ‘FuncNN-Ex.R’ failed
The error most likely occurred in:

> ### Name: fnn.cv
> ### Title: Functional Neural Networks with Cross-validation
> ### Aliases: fnn.cv
> 
> ### ** Examples
> 
> ## No test: 
> # Libraries
> library(fda)
Loading required package: splines
Loading required package: fds
Loading required package: rainbow
Loading required package: MASS
Loading required package: pcaPP
Loading required package: RCurl
Loading required package: deSolve

Attaching package: ‘fda’

The following object is masked from ‘package:graphics’:

    matplot

> 
> # Loading data
> data("daily")
> 
> # Creating functional data
> nbasis = 65
> temp_data = array(dim = c(nbasis, 35, 1))
> tempbasis65  = create.fourier.basis(c(0,365), nbasis)
> tempbasis7 = create.bspline.basis(c(0,365), 7, norder = 4)
> timepts = seq(1, 365, 1)
> temp_fd = Data2fd(timepts, daily$tempav, tempbasis65)
> prec_fd = Data2fd(timepts, daily$precav, tempbasis7)
> prec_fd$coefs = scale(prec_fd$coefs)
> 
> # Data set up
> temp_data[,,1] = temp_fd$coefs
> resp_mat = prec_fd$coefs
> 
> # Non functional covariate
> weather_scalar = data.frame(total_prec = apply(daily$precav, 2, sum))
> 
> # Setting up data to pass in to function
> weather_data_full <- array(dim = c(nbasis, ncol(temp_data), 1))
> weather_data_full[,,1] = temp_data
> scalar_full = data.frame(weather_scalar[,1])
> total_prec = apply(daily$precav, 2, mean)
> 
> # cross-validating
> cv_example <- fnn.cv(nfolds = 5,
+                      resp = total_prec,
+                      func_cov = weather_data_full,
+                      scalar_cov = scalar_full,
+                      domain_range = list(c(1, 365)),
+                      learn_rate = 0.001)
Evaluating Integrals:
Error: Valid installation of TensorFlow not found.

Python environments searched for 'tensorflow' package:
 /usr/bin/python3.11
 /usr/bin/python3.11

Python exception encountered:
 Traceback (most recent call last):
  File "/data/blackswan/ripley/R/R-devel/site-library/reticulate/python/rpytools/loader.py", line 122, in _find_and_load_hook
    return _run_hook(name, _hook)
           ^^^^^^^^^^^^^^^^^^^^^^
  File "/data/blackswan/ripley/R/R-devel/site-library/reticulate/python/rpytools/loader.py", line 96, in _run_hook
    module = hook()
             ^^^^^^
  File "/data/blackswan/ripley/R/R-devel/site-library/reticulate/python/rpytools/loader.py", line 120, in _hook
    return _find_and_load(name, import_)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ModuleNotFoundError: No module named 'tensorflow'


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
* checking for new files in some other directories ... OK
* DONE

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

Command exited with non-zero status 1
Time 3:02.26, 156.04 + 15.79