R Under development (unstable) (2025-08-21 r88668 ucrt) -- "Unsuffered Consequences"
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> # 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