* using log directory ‘/srv/hornik/tmp/CRAN_pretest/kerasnip.Rcheck’
* using R Under development (unstable) (2025-08-21 r88668)
* using platform: x86_64-pc-linux-gnu
* R was compiled by
    Debian clang version 19.1.7 (3+b1)
    Debian flang-new version 19.1.7 (3+b1)
* running under: Debian GNU/Linux forky/sid
* using session charset: UTF-8
* checking for file ‘kerasnip/DESCRIPTION’ ... OK
* this is package ‘kerasnip’ version ‘0.0.1’
* package encoding: UTF-8
* checking CRAN incoming feasibility ... [3s/4s] NOTE
Maintainer: ‘David Díaz <daviddrsch@gmail.com>’

New submission

Possibly misspelled words in DESCRIPTION:
  Keras (2:25, 8:24)
  Tidymodels (2:35)
* 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 ... NOTE
Found the following non-portable file path:
  kerasnip/vignettes/getting_started_cache/html/run-tuning-mnist_523661936c88019b469d4695aac3cddb.RData

Tarballs are only required to store paths of up to 100 bytes and cannot
store those of more than 256 bytes, with restrictions including to 100
bytes for the final component.
See section ‘Package structure’ in the ‘Writing R Extensions’ manual.
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘kerasnip’ can be installed ... [7s/7s] OK
* checking package directory ... OK
* checking for future file timestamps ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... NOTE
Package listed in more than one of Depends, Imports, Suggests, Enhances:
  ‘recipes’
A package should be listed in only one of these fields.
* checking top-level files ... NOTE
Non-standard files/directories found at top level:
  ‘codeconv.yml’ ‘pkgdown’
* 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 ... [2s/2s] OK
* checking whether the package can be loaded with stated dependencies ... [2s/2s] OK
* checking whether the package can be unloaded cleanly ... [2s/2s] OK
* checking whether the namespace can be loaded with stated dependencies ... [2s/2s] OK
* checking whether the namespace can be unloaded cleanly ... [2s/2s] OK
* checking loading without being on the library search path ... [2s/2s] OK
* checking whether startup messages can be suppressed ... [2s/2s] OK
* checking use of S3 registration ... OK
* checking dependencies in R code ... NOTE
':::' call which should be '::': ‘parsnip:::get_model_env’
  See the note in ?`:::` about the use of this operator.
Unexported objects imported by ':::' calls:
  ‘keras3:::compile.keras.src.models.model.Model’
  ‘keras3:::fit.keras.src.models.model.Model’
  See the note in ?`:::` about the use of this operator.
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... [10s/10s] NOTE
Warning: <anonymous>: ... may be used in an incorrect context: ‘rlang::enquos(...)’

Warning: <anonymous>: ... may be used in an incorrect context: 
     parsnip::update_spec(object = object, parameters = parameters, 
         args_enquo_list = args, fresh = fresh, cls = !!model_name, 
         ...)

build_spec_function: ... may be used in an incorrect context:
  ‘rlang::enquos(...)’
extract_valid_grid: no visible binding for global variable ‘error’
extract_valid_grid: no visible binding for global variable
  ‘compiled_model’
inform_errors: no visible binding for global variable ‘error’
inform_errors: no visible binding for global variable ‘compiled_model’
register_update_method: ... may be used in an incorrect context:
  parsnip::update_spec(object = object, parameters = parameters,
  args_enquo_list = args, fresh = fresh, cls = !!model_name, ...)
Undefined global functions or variables:
  compiled_model error

Warning: <anonymous>: ... may be used in an incorrect context: ‘rlang::enquos(...)’

Warning: <anonymous>: ... may be used in an incorrect context: 
     parsnip::update_spec(object = object, parameters = parameters, 
         args_enquo_list = args, fresh = fresh, cls = !!model_name, 
         ...)

* checking Rd files ... [0s/0s] OK
* checking Rd metadata ... OK
* checking Rd line widths ... NOTE
Rd file 'remove_keras_spec.Rd':
  \examples lines wider than 100 characters:
       input_block <- function(model, input_shape) keras3::keras_model_sequential(input_shape = input_shape)
       create_keras_sequential_spec("my_temp_model", list(input = input_block, dense = dense_block), "regression")

These lines will be truncated in the PDF manual.
* 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 ... [4s/4s] OK
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ... [9s/9s] ERROR
  Running ‘testthat.R’ [9s/9s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > # This file is part of the standard setup for testthat.
  > # It is recommended that you do not modify it.
  > #
  > # Where should you do additional test configuration?
  > # Learn more about the roles of various files in:
  > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
  > # * https://testthat.r-lib.org/articles/special-files.html
  > 
  > library(testthat)
  > library(kerasnip)
  > 
  > test_check("kerasnip")
  Loading required package: dplyr
  
  Attaching package: 'dplyr'
  
  The following object is masked from 'package:testthat':
  
      matches
  
  The following objects are masked from 'package:stats':
  
      filter, lag
  
  The following objects are masked from 'package:base':
  
      intersect, setdiff, setequal, union
  
  
  Attaching package: 'recipes'
  
  The following object is masked from 'package:stats':
  
      step
  
  
  Attaching package: 'modeldata'
  
  The following object is masked from 'package:datasets':
  
      penguins
  
  
  Attaching package: 'rsample'
  
  The following object is masked from 'package:testthat':
  
      matches
  
  Loading required package: scales
  
  Attaching package: 'purrr'
  
  The following object is masked from 'package:scales':
  
      discard
  
  The following object is masked from 'package:testthat':
  
      is_null
  
  x Fold1: preprocessor 1/1, model 1/4:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold1: preprocessor 1/1, model 2/4:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold1: preprocessor 1/1, model 3/4:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold1: preprocessor 1/1, model 4/4:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold2: preprocessor 1/1, model 1/4:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold2: preprocessor 1/1, model 2/4:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold2: preprocessor 1/1, model 3/4:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold2: preprocessor 1/1, model 4/4:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold1: preprocessor 1/1, model 1/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold1: preprocessor 1/1, model 2/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold1: preprocessor 1/1, model 3/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold1: preprocessor 1/1, model 4/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold1: preprocessor 1/1, model 5/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold1: preprocessor 1/1, model 6/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold1: preprocessor 1/1, model 7/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold1: preprocessor 1/1, model 8/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold1: preprocessor 1/1, model 9/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold1: preprocessor 1/1, model 10/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold1: preprocessor 1/1, model 11/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold1: preprocessor 1/1, model 12/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold1: preprocessor 1/1, model 13/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold1: preprocessor 1/1, model 14/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold1: preprocessor 1/1, model 15/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold1: preprocessor 1/1, model 16/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold2: preprocessor 1/1, model 1/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold2: preprocessor 1/1, model 2/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold2: preprocessor 1/1, model 3/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold2: preprocessor 1/1, model 4/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold2: preprocessor 1/1, model 5/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold2: preprocessor 1/1, model 6/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold2: preprocessor 1/1, model 7/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold2: preprocessor 1/1, model 8/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold2: preprocessor 1/1, model 9/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold2: preprocessor 1/1, model 10/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold2: preprocessor 1/1, model 11/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold2: preprocessor 1/1, model 12/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold2: preprocessor 1/1, model 13/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold2: preprocessor 1/1, model 14/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold2: preprocessor 1/1, model 15/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold2: preprocessor 1/1, model 16/16:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  Removed from parsnip registry objects: removable_model, removable_model_args, removable_model_encoding, removable_model_fit, removable_model_modes, removable_model_pkgs, removable_model_predict
  Removed 'removable_model' from parsnip:::get_model_env()$models
  x Fold1: preprocessor 1/1, model 1/4:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold1: preprocessor 1/1, model 2/4:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold1: preprocessor 1/1, model 3/4:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold1: preprocessor 1/1, model 4/4:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold2: preprocessor 1/1, model 1/4:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold2: preprocessor 1/1, model 2/4:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold2: preprocessor 1/1, model 3/4:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  x Fold2: preprocessor 1/1, model 4/4:
    Error: ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  [ FAIL 29 | WARN 3 | SKIP 5 | PASS 37 ]
  
  ══ Skipped tests (5) ═══════════════════════════════════════════════════════════
  • On CRAN (5): 'test_compile_keras_grid.R:8:3',
    'test_compile_keras_grid.R:67:3', 'test_compile_keras_grid.R:141:3',
    'test_step_collapse.R:63:3', 'test_step_collapse.R:74:3'
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Error ('test_e2e_features.R:5:5'): E2E: Customizing main arguments works ────
  Error: ModuleNotFoundError: No module named 'keras'
  Run `reticulate::py_last_error()` for details.
  Backtrace:
       ▆
    1. ├─testthat::expect_no_warning(...) at test_e2e_features.R:39:3
    2. │ └─testthat:::expect_no_(...)
    3. │   └─testthat:::quasi_capture(enquo(object), NULL, capture)
    4. │     ├─testthat (local) .capture(...)
    5. │     │ └─rlang::try_fetch(...)
    6. │     │   └─base::withCallingHandlers(...)
    7. │     └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
    8. ├─parsnip::fit(spec, mpg ~ ., data = mtcars)
    9. ├─parsnip::fit.model_spec(spec, mpg ~ ., data = mtcars)
   10. │ └─parsnip:::form_form(object = object, control = control, env = eval_env)
   11. │   └─parsnip:::eval_mod(...)
   12. │     └─rlang::eval_tidy(e, env = envir, ...)
   13. ├─kerasnip::generic_sequential_fit(...)
   14. │ └─kerasnip:::build_and_compile_sequential_model(...)
   15. │   ├─rlang::exec(block_fn, !!!call_args)
   16. │   └─kerasnip (local) `<fn>`(NULL, input_shape = 10L)
   17. │     └─keras3::keras_model_sequential(input_shape = input_shape) at test_e2e_features.R:5:5
   18. │       ├─base::do.call(InputLayer, InputLayer_args)
   19. │       └─keras3 (local) `<fn>`(input_shape = 10L)
   20. │         ├─base::do.call(keras$layers$InputLayer, args)
   21. │         ├─keras$layers
   22. │         └─reticulate:::`$.python.builtin.module`(keras, "layers")
   23. │           └─reticulate::py_get_attr(x, name, TRUE)
   24. └─reticulate (local) `<fn>`(`<python.builtin.module>`)
   25.   └─keras3 (local) on_error(result)
  ── Failure ('test_e2e_features.R:99:3'): E2E: Customizing fit arguments works ──
  Expected `fit_obj <- parsnip::fit(spec, mpg ~ ., data = mtcars)` to run without any errors.
  i Actually got a <simpleError> with text:
    ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  ── Error ('test_e2e_features.R:109:5'): E2E: Setting num_blocks = 0 works for sequential models ──
  Error: ModuleNotFoundError: No module named 'keras'
  Run `reticulate::py_last_error()` for details.
  Backtrace:
       ▆
    1. ├─parsnip::fit(spec, mpg ~ ., data = mtcars) at test_e2e_features.R:139:3
    2. ├─parsnip::fit.model_spec(spec, mpg ~ ., data = mtcars)
    3. │ └─parsnip:::form_form(object = object, control = control, env = eval_env)
    4. │   └─parsnip:::eval_mod(...)
    5. │     └─rlang::eval_tidy(e, env = envir, ...)
    6. ├─kerasnip::generic_sequential_fit(...)
    7. │ └─kerasnip:::build_and_compile_sequential_model(...)
    8. │   ├─rlang::exec(block_fn, !!!call_args)
    9. │   └─kerasnip (local) `<fn>`(NULL, input_shape = 10L)
   10. │     └─keras3::keras_model_sequential(input_shape = input_shape) at test_e2e_features.R:109:5
   11. │       ├─base::do.call(InputLayer, InputLayer_args)
   12. │       └─keras3 (local) `<fn>`(input_shape = 10L)
   13. │         ├─base::do.call(keras$layers$InputLayer, args)
   14. │         ├─keras$layers
   15. │         └─reticulate:::`$.python.builtin.module`(keras, "layers")
   16. │           └─reticulate::py_get_attr(x, name, TRUE)
   17. └─reticulate (local) `<fn>`(`<python.builtin.module>`)
   18.   └─keras3 (local) on_error(result)
  ── Error ('test_e2e_features.R:170:5'): E2E: extract_keras_model works ─────────
  Error: ModuleNotFoundError: No module named 'keras'
  Run `reticulate::py_last_error()` for details.
  Backtrace:
       ▆
    1. ├─parsnip::fit(spec, mpg ~ ., data = mtcars) at test_e2e_features.R:195:3
    2. ├─parsnip::fit.model_spec(spec, mpg ~ ., data = mtcars)
    3. │ └─parsnip:::form_form(object = object, control = control, env = eval_env)
    4. │   └─parsnip:::eval_mod(...)
    5. │     └─rlang::eval_tidy(e, env = envir, ...)
    6. ├─kerasnip::generic_sequential_fit(...)
    7. │ └─kerasnip:::build_and_compile_sequential_model(...)
    8. │   ├─rlang::exec(block_fn, !!!call_args)
    9. │   └─kerasnip (local) `<fn>`(NULL, input_shape = 10L)
   10. │     └─keras3::keras_model_sequential(input_shape = input_shape) at test_e2e_features.R:170:5
   11. │       ├─base::do.call(InputLayer, InputLayer_args)
   12. │       └─keras3 (local) `<fn>`(input_shape = 10L)
   13. │         ├─base::do.call(keras$layers$InputLayer, args)
   14. │         ├─keras$layers
   15. │         └─reticulate:::`$.python.builtin.module`(keras, "layers")
   16. │           └─reticulate::py_get_attr(x, name, TRUE)
   17. └─reticulate (local) `<fn>`(`<python.builtin.module>`)
   18.   └─keras3 (local) on_error(result)
  ── Error ('test_e2e_features.R:210:5'): E2E: extract_keras_history works ───────
  Error: ModuleNotFoundError: No module named 'keras'
  Run `reticulate::py_last_error()` for details.
  Backtrace:
       ▆
    1. ├─parsnip::fit(spec, mpg ~ ., data = mtcars) at test_e2e_features.R:236:3
    2. ├─parsnip::fit.model_spec(spec, mpg ~ ., data = mtcars)
    3. │ └─parsnip:::form_form(object = object, control = control, env = eval_env)
    4. │   └─parsnip:::eval_mod(...)
    5. │     └─rlang::eval_tidy(e, env = envir, ...)
    6. ├─kerasnip::generic_sequential_fit(...)
    7. │ └─kerasnip:::build_and_compile_sequential_model(...)
    8. │   ├─rlang::exec(block_fn, !!!call_args)
    9. │   └─kerasnip (local) `<fn>`(NULL, input_shape = 10L)
   10. │     └─keras3::keras_model_sequential(input_shape = input_shape) at test_e2e_features.R:210:5
   11. │       ├─base::do.call(InputLayer, InputLayer_args)
   12. │       └─keras3 (local) `<fn>`(input_shape = 10L)
   13. │         ├─base::do.call(keras$layers$InputLayer, args)
   14. │         ├─keras$layers
   15. │         └─reticulate:::`$.python.builtin.module`(keras, "layers")
   16. │           └─reticulate::py_get_attr(x, name, TRUE)
   17. └─reticulate (local) `<fn>`(`<python.builtin.module>`)
   18.   └─keras3 (local) on_error(result)
  ── Error ('test_e2e_features.R:248:5'): E2E: keras_evaluate works ──────────────
  Error: ModuleNotFoundError: No module named 'keras'
  Run `reticulate::py_last_error()` for details.
  Backtrace:
       ▆
    1. ├─parsnip::fit(spec, mpg ~ ., data = mtcars) at test_e2e_features.R:273:3
    2. ├─parsnip::fit.model_spec(spec, mpg ~ ., data = mtcars)
    3. │ └─parsnip:::form_form(object = object, control = control, env = eval_env)
    4. │   └─parsnip:::eval_mod(...)
    5. │     └─rlang::eval_tidy(e, env = envir, ...)
    6. ├─kerasnip::generic_sequential_fit(...)
    7. │ └─kerasnip:::build_and_compile_sequential_model(...)
    8. │   ├─rlang::exec(block_fn, !!!call_args)
    9. │   └─kerasnip (local) `<fn>`(NULL, input_shape = 10L)
   10. │     └─keras3::keras_model_sequential(input_shape = input_shape) at test_e2e_features.R:248:5
   11. │       ├─base::do.call(InputLayer, InputLayer_args)
   12. │       └─keras3 (local) `<fn>`(input_shape = 10L)
   13. │         ├─base::do.call(keras$layers$InputLayer, args)
   14. │         ├─keras$layers
   15. │         └─reticulate:::`$.python.builtin.module`(keras, "layers")
   16. │           └─reticulate::py_get_attr(x, name, TRUE)
   17. └─reticulate (local) `<fn>`(`<python.builtin.module>`)
   18.   └─keras3 (local) on_error(result)
  ── Failure ('test_e2e_func_classification.R:49:3'): E2E: Functional spec (classification) works ──
  Expected `fit_obj <- parsnip::fit(wf, data = data)` to run without any errors.
  i Actually got a <simpleError> with text:
    ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  ── Error ('test_e2e_func_classification.R:50:3'): E2E: Functional spec (classification) works ──
  Error in `eval(code, test_env)`: object 'fit_obj' not found
  Backtrace:
      ▆
   1. └─testthat::expect_s3_class(fit_obj, "workflow") at test_e2e_func_classification.R:50:3
   2.   └─testthat::quasi_label(enquo(object), arg = "object")
   3.     └─rlang::eval_bare(expr, quo_get_env(quo))
  ── Error ('test_e2e_func_classification.R:126:3'): E2E: Functional spec tuning (including repetition) works ──
  Error in `estimate_tune_results(x)`: All models failed. Run `show_notes(.Last.tune.result)` for more information.
  Backtrace:
      ▆
   1. ├─tune::collect_metrics(tune_res) at test_e2e_func_classification.R:126:3
   2. └─tune:::collect_metrics.tune_results(tune_res)
   3.   └─tune::estimate_tune_results(x)
   4.     └─rlang::abort("All models failed. Run `show_notes(.Last.tune.result)` for more information.")
  ── Failure ('test_e2e_func_classification.R:183:3'): E2E: Multi-input, single-output functional classification works ──
  Expected `fit_obj <- parsnip::fit(wf, data = train_df)` to run without any errors.
  i Actually got a <simpleError> with text:
    ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  ── Error ('test_e2e_func_classification.R:189:3'): E2E: Multi-input, single-output functional classification works ──
  Error in `eval(code, test_env)`: object 'fit_obj' not found
  Backtrace:
      ▆
   1. └─stats::predict(fit_obj, new_data = new_data_df) at test_e2e_func_classification.R:189:3
  ── Error ('test_e2e_func_classification.R:232:3'): E2E: Functional spec with pre-constructed optimizer works ──
  Error: ModuleNotFoundError: No module named 'keras'
  Run `reticulate::py_last_error()` for details.
  Backtrace:
      ▆
   1. ├─keras3::optimizer_sgd(learning_rate = 0.001) at test_e2e_func_classification.R:232:3
   2. │ ├─base::do.call(keras$optimizers$SGD, args)
   3. │ ├─keras$optimizers
   4. │ └─reticulate:::`$.python.builtin.module`(keras, "optimizers")
   5. │   └─reticulate::py_get_attr(x, name, TRUE)
   6. └─reticulate (local) `<fn>`(`<python.builtin.module>`)
   7.   └─keras3 (local) on_error(result)
  ── Failure ('test_e2e_func_classification.R:296:3'): E2E: Functional spec with string loss works ──
  Expected `fit_obj <- parsnip::fit(wf, data = data)` to run without any errors.
  i Actually got a <simpleError> with text:
    ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  ── Error ('test_e2e_func_classification.R:297:3'): E2E: Functional spec with string loss works ──
  Error in `eval(code, test_env)`: object 'fit_obj' not found
  Backtrace:
      ▆
   1. └─testthat::expect_s3_class(fit_obj, "workflow") at test_e2e_func_classification.R:297:3
   2.   └─testthat::quasi_label(enquo(object), arg = "object")
   3.     └─rlang::eval_bare(expr, quo_get_env(quo))
  ── Failure ('test_e2e_func_regression.R:5:18'): E2E: Functional spec (regression) works ──
  Expected `fit_obj <- parsnip::fit(wf, data = data)` to run without any errors.
  i Actually got a <simpleError> with text:
    ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  ── Error ('test_e2e_func_regression.R:45:3'): E2E: Functional spec (regression) works ──
  Error in `eval(code, test_env)`: object 'fit_obj' not found
  Backtrace:
      ▆
   1. └─testthat::expect_s3_class(fit_obj, "workflow") at test_e2e_func_regression.R:45:3
   2.   └─testthat::quasi_label(enquo(object), arg = "object")
   3.     └─rlang::eval_bare(expr, quo_get_env(quo))
  ── Failure ('test_e2e_func_regression.R:57:18'): E2E: Functional regression works with named predictors in formula ──
  Expected `fit_obj <- fit(spec, mpg ~ cyl + disp, data = data)` to run without any errors.
  i Actually got a <simpleError> with text:
    ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  ── Error ('test_e2e_func_regression.R:94:3'): E2E: Functional regression works with named predictors in formula ──
  Error in `eval(code, test_env)`: object 'fit_obj' not found
  Backtrace:
      ▆
   1. └─testthat::expect_s3_class(fit_obj, "model_fit") at test_e2e_func_regression.R:94:3
   2.   └─testthat::quasi_label(enquo(object), arg = "object")
   3.     └─rlang::eval_bare(expr, quo_get_env(quo))
  ── Error ('test_e2e_func_regression.R:100:18'): E2E: Block repetition works for functional models ──
  Error: ModuleNotFoundError: No module named 'keras'
  Run `reticulate::py_last_error()` for details.
  Backtrace:
       ▆
    1. ├─generics::fit(spec_1, mpg ~ ., data = mtcars) at test_e2e_func_regression.R:122:3
    2. ├─parsnip::fit.model_spec(spec_1, mpg ~ ., data = mtcars)
    3. │ └─parsnip:::form_form(object = object, control = control, env = eval_env)
    4. │   └─parsnip:::eval_mod(...)
    5. │     └─rlang::eval_tidy(e, env = envir, ...)
    6. ├─kerasnip::generic_functional_fit(...)
    7. │ └─kerasnip:::build_and_compile_functional_model(...)
    8. │   └─kerasnip (local) first_block_fn(input_shape = input_shape)
    9. │     └─keras3::layer_input(shape = input_shape) at test_e2e_func_regression.R:100:18
   10. │       ├─base::do.call(keras$Input, args)
   11. │       ├─keras$Input
   12. │       └─reticulate:::`$.python.builtin.module`(keras, "Input")
   13. │         └─reticulate::py_get_attr(x, name, TRUE)
   14. └─reticulate (local) `<fn>`(`<python.builtin.module>`)
   15.   └─keras3 (local) on_error(result)
  ── Failure ('test_e2e_func_regression.R:158:5'): E2E: Multi-input, multi-output functional regression works ──
  Expected `fit_obj <- parsnip::fit(wf, data = train_df)` to run without any errors.
  i Actually got a <simpleError> with text:
    ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  ── Error ('test_e2e_func_regression.R:219:3'): E2E: Multi-input, multi-output functional regression works ──
  Error in `eval(code, test_env)`: object 'fit_obj' not found
  Backtrace:
      ▆
   1. └─stats::predict(fit_obj, new_data = new_data_df) at test_e2e_func_regression.R:219:3
  ── Error ('test_e2e_multiblock_tuning.R:85:3'): E2E: Multi-block model tuning works ──
  Error in `estimate_tune_results(x)`: All models failed. Run `show_notes(.Last.tune.result)` for more information.
  Backtrace:
      ▆
   1. ├─tune::collect_metrics(tune_res) at test_e2e_multiblock_tuning.R:85:3
   2. └─tune:::collect_metrics.tune_results(tune_res)
   3.   └─tune::estimate_tune_results(x)
   4.     └─rlang::abort("All models failed. Run `show_notes(.Last.tune.result)` for more information.")
  ── Failure ('test_e2e_seq_classification.R:40:3'): E2E: Classification spec generation, fitting, and prediction works ──
  Expected `fit_multi <- fit(wf_multi, data = multi_data)` to run without any errors.
  i Actually got a <simpleError> with text:
    ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  ── Error ('test_e2e_seq_classification.R:41:3'): E2E: Classification spec generation, fitting, and prediction works ──
  Error in `eval(code, test_env)`: object 'fit_multi' not found
  Backtrace:
      ▆
   1. └─testthat::expect_s3_class(fit_multi, "workflow") at test_e2e_seq_classification.R:41:3
   2.   └─testthat::quasi_label(enquo(object), arg = "object")
   3.     └─rlang::eval_bare(expr, quo_get_env(quo))
  ── Failure ('test_e2e_seq_regression.R:5:5'): E2E: Regression spec generation, fitting, and prediction works ──
  Expected `fit_obj <- fit(wf, data = data)` to run without any errors.
  i Actually got a <simpleError> with text:
    ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  ── Error ('test_e2e_seq_regression.R:44:3'): E2E: Regression spec generation, fitting, and prediction works ──
  Error in `eval(code, test_env)`: object 'fit_obj' not found
  Backtrace:
      ▆
   1. └─testthat::expect_s3_class(fit_obj, "workflow") at test_e2e_seq_regression.R:44:3
   2.   └─testthat::quasi_label(enquo(object), arg = "object")
   3.     └─rlang::eval_bare(expr, quo_get_env(quo))
  ── Failure ('test_e2e_seq_regression.R:57:5'): E2E: Sequential regression works with named predictors in formula ──
  Expected `fit_obj <- fit(spec, mpg ~ cyl + disp, data = data)` to run without any errors.
  i Actually got a <simpleError> with text:
    ModuleNotFoundError: No module named 'keras'
    Run `reticulate::py_last_error()` for details.
  ── Error ('test_e2e_seq_regression.R:91:3'): E2E: Sequential regression works with named predictors in formula ──
  Error in `eval(code, test_env)`: object 'fit_obj' not found
  Backtrace:
      ▆
   1. └─testthat::expect_s3_class(fit_obj, "model_fit") at test_e2e_seq_regression.R:91:3
   2.   └─testthat::quasi_label(enquo(object), arg = "object")
   3.     └─rlang::eval_bare(expr, quo_get_env(quo))
  ── Error ('test_e2e_tuning.R:64:3'): E2E: Tuning works with a generated spec ───
  Error in `estimate_tune_results(x)`: All models failed. Run `show_notes(.Last.tune.result)` for more information.
  Backtrace:
      ▆
   1. ├─tune::collect_metrics(tune_res) at test_e2e_tuning.R:64:3
   2. └─tune:::collect_metrics.tune_results(tune_res)
   3.   └─tune::estimate_tune_results(x)
   4.     └─rlang::abort("All models failed. Run `show_notes(.Last.tune.result)` for more information.")
  
  [ FAIL 29 | WARN 3 | SKIP 5 | PASS 37 ]
  Error: Test failures
  Execution halted
* checking for unstated dependencies in vignettes ... NOTE
'library' or 'require' calls not declared from:
  ‘future’ ‘ggplot2’
* checking package vignettes ... OK
* checking re-building of vignette outputs ... [102s/102s] ERROR
Error(s) in re-building vignettes:
  ...
--- re-building ‘functional_api.Rmd’ using rmarkdown

Quitting from functional_api.Rmd:120-160 [fit-functional-two-input]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error:
! ModuleNotFoundError: No module named 'keras'
Run `reticulate::py_last_error()` for details.
---
Backtrace:
     ▆
  1. ├─generics::fit(wf, data = train_df)
  2. ├─workflows:::fit.workflow(wf, data = train_df)
  3. │ └─workflows::.fit_model(workflow, control)
  4. │   ├─generics::fit(action_model, workflow = workflow, control = control)
  5. │   └─workflows:::fit.action_model(...)
  6. │     └─workflows:::fit_from_xy(spec, mold, case_weights, control_parsnip)
  7. │       ├─generics::fit_xy(...)
  8. │       └─parsnip::fit_xy.model_spec(...)
  9. │         └─parsnip:::xy_form(...)
 10. │           └─parsnip:::form_form(...)
 11. │             └─parsnip:::eval_mod(...)
 12. │               └─rlang::eval_tidy(e, env = envir, ...)
 13. ├─kerasnip::generic_functional_fit(...)
 14. │ └─kerasnip:::build_and_compile_functional_model(...)
 15. │   └─global block_fn(input_shape = input_shape[[block_name]])
 16. │     └─keras3::layer_input(shape = input_shape, name = "input_1")
 17. │       ├─base::do.call(keras$Input, args)
 18. │       ├─keras$Input
 19. │       └─reticulate:::`$.python.builtin.module`(keras, "Input")
 20. │         └─reticulate::py_get_attr(x, name, TRUE)
 21. └─reticulate (local) `<fn>`(`<python.builtin.module>`)
 22.   └─keras3 (local) on_error(result)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Error: processing vignette 'functional_api.Rmd' failed with diagnostics:
ModuleNotFoundError: No module named 'keras'
Run `reticulate::py_last_error()` for details.
--- failed re-building ‘functional_api.Rmd’

--- re-building ‘getting_started.Rmd’ using rmarkdown

Quitting from getting_started.Rmd:65-88 [prepare-data]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error:
! ModuleNotFoundError: No module named 'keras'
Run `reticulate::py_last_error()` for details.
---
Backtrace:
    ▆
 1. ├─keras3::dataset_mnist()
 2. │ ├─keras$datasets
 3. │ └─reticulate:::`$.python.builtin.module`(keras, "datasets")
 4. │   └─reticulate::py_get_attr(x, name, TRUE)
 5. └─reticulate (local) `<fn>`(`<python.builtin.module>`)
 6.   └─keras3 (local) on_error(result)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Error: processing vignette 'getting_started.Rmd' failed with diagnostics:
ModuleNotFoundError: No module named 'keras'
Run `reticulate::py_last_error()` for details.
--- failed re-building ‘getting_started.Rmd’

--- re-building ‘sequential_model.Rmd’ using rmarkdown
--- finished re-building ‘sequential_model.Rmd’

--- re-building ‘workflows_functional.Rmd’ using rmarkdown

Quitting from workflows_functional.Rmd:218-231 [tune-model]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
NULL
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Error: processing vignette 'workflows_functional.Rmd' failed with diagnostics:
There were no valid metrics for the ANOVA model.
--- failed re-building ‘workflows_functional.Rmd’

--- re-building ‘workflows_sequential.Rmd’ using rmarkdown

Quitting from workflows_sequential.Rmd:174-187 [tune-model]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
NULL
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Error: processing vignette 'workflows_sequential.Rmd' failed with diagnostics:
There were no valid metrics for the ANOVA model.
--- failed re-building ‘workflows_sequential.Rmd’

SUMMARY: processing the following files failed:
  ‘functional_api.Rmd’ ‘getting_started.Rmd’ ‘workflows_functional.Rmd’
  ‘workflows_sequential.Rmd’

Error: Vignette re-building failed.
Execution halted

* checking PDF version of manual ... [3s/3s] OK
* checking HTML version of manual ... [0s/0s] OK
* checking for non-standard things in the check directory ... OK
* checking for detritus in the temp directory ... OK
* DONE
Status: 2 ERRORs, 8 NOTEs