R Under development (unstable) (2026-06-06 r90114 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(bnns)
> 
> test_check("bnns")

SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 0.00011 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.1 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1: 
Chain 1: 
Chain 1: WARNING: No variance estimation is
Chain 1:          performed for num_warmup < 20
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Chain 1: 
Chain 1:  Elapsed Time: 0.001 seconds (Warm-up)
Chain 1:                0.001 seconds (Sampling)
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Chain 1: 
Call:
bnns.default(formula = y ~ -1 + x1 + x2, data = df, L = 1, nodes = 2, 
    act_fn = 5, out_act_fn = 1, iter = 10, warmup = 5, chains = 1, 
    normalize = FALSE)

Data Summary:
Number of observations: 10 
Number of features: 2 

Network Architecture:
Number of hidden layers: 1 
Nodes per layer: 2 
Activation functions: 5 
Output activation function: 1 

Posterior Summary (Key Parameters):
               mean   se_mean        sd       2.5%        25%        50%
w_out[1] -0.4689907 0.2735559 0.5113996 -1.0670995 -0.7557558 -0.5819445
w_out[2] -0.7736144 0.2635901 0.4927690 -1.5068120 -0.8919449 -0.5717373
b_out[1]  0.2468817 0.5539309 1.0355472 -0.8768749 -0.4602397  0.1495652
sigma     1.1715503 0.1879389 0.3513427  0.6750802  1.0609525  1.2193979
                 75%      97.5%   n_eff      Rhat
w_out[1] -0.04729548  0.1228323 3.49485 1.4355967
w_out[2] -0.50507446 -0.3422739 3.49485 0.7462626
b_out[1]  0.75369616  1.6184689 3.49485 0.9217750
sigma     1.41304394  1.5202411 3.49485 1.5789677

Model Fit Information:
Iterations: 10 
Warmup: 5 
Thinning: 1 
Chains: 1 

Predictive Performance:
RMSE (training): 0.6831993 
MAE (training): 0.5673802 

Notes:
Check convergence diagnostics for parameters with high R-hat values.

SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 0.00014 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.4 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1: 
Chain 1: 
Chain 1: WARNING: No variance estimation is
Chain 1:          performed for num_warmup < 20
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SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 0.000185 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.85 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1: 
Chain 1: 
Chain 1: WARNING: No variance estimation is
Chain 1:          performed for num_warmup < 20
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Chain 1: 
Call:
bnns.default(formula = y ~ -1 + x1 + x2, data = df, L = 1, nodes = 2, 
    act_fn = 5, out_act_fn = 2, iter = 10, warmup = 5, chains = 1)

Data Summary:
Number of observations: 10 
Number of features: 2 

Network Architecture:
Number of hidden layers: 1 
Nodes per layer: 2 
Activation functions: 5 
Output activation function: 2 

Posterior Summary (Key Parameters):
                mean   se_mean        sd       2.5%        25%          50%
w_out[1]  0.01594702 0.2640234 0.4935791 -0.3807119 -0.3108720 -0.310871981
w_out[2] -0.52155422 0.1666266 0.3115003 -0.9809908 -0.4963923 -0.496392298
b_out[1] -0.22603271 0.2464405 0.4607086 -0.9192438 -0.3246888  0.006038717
                  75%      97.5%   n_eff      Rhat
w_out[1]  0.407929845  0.6546120 3.49485 4.4721242
w_out[2] -0.380191834 -0.2179829 3.49485 1.7665779
b_out[1]  0.006038717  0.1515818 3.49485 0.8711157

Model Fit Information:
Iterations: 10 
Warmup: 5 
Thinning: 1 
Chains: 1 

Predictive Performance:
Setting levels: control = 0, case = 1
Setting direction: controls < cases
Confusion matrix (training with 0.5 cutoff): 4 1 2 3 
Accuracy (training with 0.5 cutoff): 0.7 
AUC (training): 0.7083333 

Notes:
Check convergence diagnostics for parameters with high R-hat values.

SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 0.000172 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.72 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1: 
Chain 1: 
Chain 1: WARNING: No variance estimation is
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Chain 1: 
Call:
bnns.default(formula = y ~ -1 + x1 + x2, data = df, L = 1, nodes = 2, 
    act_fn = 5, out_act_fn = 3, iter = 10, warmup = 5, chains = 1)

Data Summary:
Number of observations: 10 
Number of features: 2 

Network Architecture:
Number of hidden layers: 1 
Nodes per layer: 2 
Activation functions: 5 
Output activation function: 3 

Posterior Summary (Key Parameters):
                  mean   se_mean         sd        2.5%          25%
w_out[1,1] -1.28513580 0.4052941 0.75767776 -1.64781807 -1.614707237
w_out[1,2]  0.29687620 0.3014718 0.56358694 -0.47418765  0.343568770
w_out[1,3]  0.38940080 0.3091608 0.57796129 -0.51554016  0.425769211
w_out[2,1]  0.30814220 0.3232874 0.60437020 -0.64260475  0.510928285
w_out[2,2]  0.02438797 0.0449150 0.08396642 -0.03914051 -0.001979211
w_out[2,3] -0.12662859 0.0997779 0.18652998 -0.41315798 -0.153185765
b_out[1]    1.03770123 0.3557288 0.66501787  0.07765619  0.722049292
b_out[2]   -0.33170076 0.3053400 0.57081846 -0.67578891 -0.675788915
b_out[3]    0.78249058 0.1966455 0.36761927  0.20970100  0.780337962
                    50%          75%       97.5%   n_eff      Rhat
w_out[1,1] -1.614707237 -1.614707237 -0.09852494 3.49485 1.0108550
w_out[1,2]  0.343568770  0.343568770  0.95120864 3.49485 1.2160315
w_out[1,3]  0.713788284  0.713788284  0.71378828 3.49485 0.8908976
w_out[2,1]  0.600185928  0.600185928  0.60018593 3.49485 0.9670413
w_out[2,2] -0.001979211 -0.001979211  0.15383439 3.49485 1.1070964
w_out[2,3] -0.012637800 -0.012637800 -0.01263780 3.49485 0.8392638
b_out[1]    1.486799960  1.486799960  1.48679996 3.49485 0.7696020
b_out[2]   -0.675788915 -0.271287679  0.54900680 3.49485 0.8480274
b_out[3]    0.995272687  0.995272687  0.99527269 3.49485 0.8729719

Model Fit Information:
Iterations: 10 
Warmup: 5 
Thinning: 1 
Chains: 1 

Predictive Performance:
Log-loss (training): 1.190863 
AUC (training): 0.5333333 

Notes:
Check convergence diagnostics for parameters with high R-hat values.

SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 0.000287 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.87 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1: 
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SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 6.8e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.68 seconds.
Chain 1: Adjust your expectations accordingly!
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SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 1.7e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
Chain 1: Adjust your expectations accordingly!
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SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 2.5e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
Chain 1: Adjust your expectations accordingly!
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SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 3.5e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.35 seconds.
Chain 1: Adjust your expectations accordingly!
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SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 2.2e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.
Chain 1: Adjust your expectations accordingly!
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SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 2.1e-05 seconds
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SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 2.5e-05 seconds
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SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 2.5e-05 seconds
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SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 3.1e-05 seconds
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SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 1.8e-05 seconds
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SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 1.8e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.
Chain 1: Adjust your expectations accordingly!
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Chain 1: 
Using 'OpenCL' R package for diagnostics:

No OpenCL platforms found.
Setting levels: control = 0, case = 1
Setting direction: controls < cases

Attaching package: 'dplyr'

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

[ FAIL 0 | WARN 5 | SKIP 8 | PASS 295 ]

══ Skipped tests (8) ═══════════════════════════════════════════════════════════
• On CRAN (8): 'test-bnns_parsnip.R:86:3', 'test-gpu.R:25:3',
  'test-plot.R:2:3', 'test-plot.R:32:3', 'test-predict.R:2:3',
  'test-predict.R:18:3', 'test-predict.R:31:3', 'test-save_load.R:2:3'

[ FAIL 0 | WARN 5 | SKIP 8 | PASS 295 ]
> 
> proc.time()
   user  system elapsed 
  25.10    2.32  642.98