* using log directory ‘/data/blackswan/ripley/R/packages/tests-devel/kerasnip.Rcheck’
* using R Under development (unstable) (2026-01-29 r89354)
* using platform: x86_64-pc-linux-gnu
* R was compiled by
    gcc (GCC) 14.2.1 20240912 (Red Hat 14.2.1-3)
    GNU Fortran (GCC) 14.2.1 20240912 (Red Hat 14.2.1-3)
* running under: Fedora Linux 40 (Workstation Edition)
* using session charset: UTF-8
* checking for file ‘kerasnip/DESCRIPTION’ ... OK
* this is package ‘kerasnip’ version ‘0.1.0’
* 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 ‘kerasnip’ can be installed ... [12s/12s] 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 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 whether startup messages can be suppressed ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... [17s/17s] 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 installed files from ‘inst/doc’ ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
* checking examples with --run-donttest ... ERROR
Running examples in ‘kerasnip-Ex.R’ failed
The error most likely occurred in:

> ### Name: keras_evaluate
> ### Title: Evaluate a Kerasnip Model
> ### Aliases: keras_evaluate
> 
> ### ** Examples
> 
> ## No test: 
> if (requireNamespace("keras3", quietly = TRUE)) {
+ library(keras3)
+ library(parsnip)
+ 
+ # 1. Define layer blocks
+ input_block <- function(model, input_shape) {
+   keras_model_sequential(input_shape = input_shape)
+ }
+ hidden_block <- function(model, units = 32) {
+   model |> layer_dense(units = units, activation = "relu")
+ }
+ output_block <- function(model, num_classes) {
+   model |> layer_dense(units = num_classes, activation = "softmax")
+ }
+ 
+ # 2. Define and fit a model ----
+ create_keras_sequential_spec(
+   model_name = "my_mlp_tools",
+   layer_blocks = list(
+     input = input_block,
+     hidden = hidden_block,
+     output = output_block
+   ),
+   mode = "classification"
+ )
+ 
+ mlp_spec <- my_mlp_tools(
+   hidden_units = 32,
+   compile_loss = "categorical_crossentropy",
+   compile_optimizer = "adam",
+   compile_metrics = "accuracy",
+   fit_epochs = 5
+ ) |> set_engine("keras")
+ 
+ x_train <- matrix(rnorm(100 * 10), ncol = 10)
+ y_train <- factor(sample(0:1, 100, replace = TRUE))
+ train_df <- data.frame(x = I(x_train), y = y_train)
+ 
+ fitted_mlp <- fit(mlp_spec, y ~ x, data = train_df)
+ 
+ # 3. Evaluate the model on new data ----
+ x_test <- matrix(rnorm(50 * 10), ncol = 10)
+ y_test <- factor(sample(0:1, 50, replace = TRUE))
+ 
+ eval_metrics <- keras_evaluate(fitted_mlp, x_test, y_test)
+ print(eval_metrics)
+ 
+ # 4. Extract the Keras model object ----
+ keras_model <- extract_keras_model(fitted_mlp)
+ summary(keras_model)
+ 
+ # 5. Extract the training history ----
+ history <- extract_keras_history(fitted_mlp)
+ plot(history)
+ remove_keras_spec("my_mlp_tools")
+ }

Attaching package: ‘parsnip’

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

    get_model_env

Error: ModuleNotFoundError: No module named 'keras'
Run `reticulate::py_last_error()` for details.
Execution halted
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘testthat.R’
 OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking re-building of vignette outputs ... [65s/37s] OK
* 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
See
  ‘/data/blackswan/ripley/R/packages/tests-devel/kerasnip.Rcheck/00check.log’
for details.

Command exited with non-zero status 1
Time 2:57.50, 143.63 + 64.76