R Under development (unstable) (2024-06-14 r86747 ucrt) -- "Unsuffered Consequences"
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Platform: x86_64-w64-mingw32/x64

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> library(testthat)
> library(lightgbm)  # nolint: [unused_import]
> 
> test_check(
+     package = "lightgbm"
+     , stop_on_failure = TRUE
+     , stop_on_warning = FALSE
+     , reporter = testthat::SummaryReporter$new()
+ )
Predictor: ................................................................................................................................................................................................................
basic: .........................................W.W.W.W.W.W..............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
custom_objective: ..........
dataset: ................................................................................
learning_to_rank: ....................................................
lgb.Booster: ..........................................................................................................................................................................................................
lgb.convert_with_rules: .........................................................................................................................................
lgb.importance: ...........
lgb.interprete: ........
lgb.model.dt.tree: .....................................................................
lgb.plot.importance: .........
lgb.plot.interpretation: ...
metrics: ...
multithreading: ......
parameters: ...........................
utils: .................................
weighted_loss: ...

══ Warnings ════════════════════════════════════════════════════════════════════
1. lgb.cv() throws an informative error if 'data' is not an lgb.Dataset and labels are not given ('test_basic.R:447:7') - Passing anything other than an lgb.Dataset object to lgb.cv() is deprecated. Either pass an lgb.Dataset object, or use lightgbm().

2. lgb.cv() throws an informative error if 'data' is not an lgb.Dataset and labels are not given ('test_basic.R:447:7') - Passing anything other than an lgb.Dataset object to lgb.cv() is deprecated. Either pass an lgb.Dataset object, or use lightgbm().

3. lgb.cv() throws an informative error if 'data' is not an lgb.Dataset and labels are not given ('test_basic.R:447:7') - Passing anything other than an lgb.Dataset object to lgb.cv() is deprecated. Either pass an lgb.Dataset object, or use lightgbm().

4. lgb.cv() throws an informative error if 'data' is not an lgb.Dataset and labels are not given ('test_basic.R:447:7') - Passing anything other than an lgb.Dataset object to lgb.cv() is deprecated. Either pass an lgb.Dataset object, or use lightgbm().

5. lgb.cv() throws an informative error if 'data' is not an lgb.Dataset and labels are not given ('test_basic.R:447:7') - Passing anything other than an lgb.Dataset object to lgb.cv() is deprecated. Either pass an lgb.Dataset object, or use lightgbm().

6. lgb.cv() throws an informative error if 'data' is not an lgb.Dataset and labels are not given ('test_basic.R:447:7') - Passing anything other than an lgb.Dataset object to lgb.cv() is deprecated. Either pass an lgb.Dataset object, or use lightgbm().

══ DONE ════════════════════════════════════════════════════════════════════════
> 
> proc.time()
   user  system elapsed 
  37.71    5.07   39.67