R Under development (unstable) (2024-02-19 r85946 ucrt) -- "Unsuffered Consequences" Copyright (C) 2024 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > # 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/tests.html > # * https://testthat.r-lib.org/reference/test_package.html#special-files > > library(testthat) > library(tsnet) > > test_check("tsnet") SAMPLING FOR MODEL 'VAR_wishart' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.00064 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 6.4 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup) Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup) Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 2.286 seconds (Warm-up) Chain 1: 1.636 seconds (Sampling) Chain 1: 3.922 seconds (Total) Chain 1: The VAR coefficient matrix of the input model is stable. The VAR coefficient matrix of the input model is stable. The VAR coefficient matrix of the input model is not stable. It is recommended to refit the model and to inspect your data. SAMPLING FOR MODEL 'VAR_wishart' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000286 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.86 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup) Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup) Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 2.262 seconds (Warm-up) Chain 1: 1.881 seconds (Sampling) Chain 1: 4.143 seconds (Total) Chain 1: The VAR coefficient matrix of the input model is stable. SAMPLING FOR MODEL 'VAR_wishart' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000289 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.89 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup) Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup) Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 2.285 seconds (Warm-up) Chain 1: 2.1 seconds (Sampling) Chain 1: 4.385 seconds (Total) Chain 1: SAMPLING FOR MODEL 'VAR_wishart' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000284 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.84 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup) Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup) Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 2.35 seconds (Warm-up) Chain 1: 2.01 seconds (Sampling) Chain 1: 4.36 seconds (Total) Chain 1: SAMPLING FOR MODEL 'VAR_wishart' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000204 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.04 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup) Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup) Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 2.06 seconds (Warm-up) Chain 1: 1.724 seconds (Sampling) Chain 1: 3.784 seconds (Total) Chain 1: SAMPLING FOR MODEL 'VAR_wishart' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000204 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.04 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup) Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup) Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 1.541 seconds (Warm-up) Chain 1: 1.439 seconds (Sampling) Chain 1: 2.98 seconds (Total) Chain 1: SAMPLING FOR MODEL 'VAR_wishart' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000206 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.06 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup) Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup) Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 2.014 seconds (Warm-up) Chain 1: 1.475 seconds (Sampling) Chain 1: 3.489 seconds (Total) Chain 1: SAMPLING FOR MODEL 'VAR_wishart' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.00021 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.1 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup) Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup) Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 1.768 seconds (Warm-up) Chain 1: 1.83 seconds (Sampling) Chain 1: 3.598 seconds (Total) Chain 1: ### Summary of the Norm-Based Comparison Test ### #--- General Summary ---# In the temporal network 2 of the 2 comparisons were significant. In the contemporaneous network 2 of the 2 comparisons were significant. #--- Model-specific Results ---# For mod_a 0 of the reference distances of the temporal network and 0 of the reference distances of the contemporaneous network were larger than the empirical distance. For mod_b 0 of the reference distances of the temporal network and 0 of the reference distances of the contemporaneous network were larger than the empirical distance. SAMPLING FOR MODEL 'VAR_wishart' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.00021 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.1 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup) Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup) Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 1.907 seconds (Warm-up) Chain 1: 1.423 seconds (Sampling) Chain 1: 3.33 seconds (Total) Chain 1: ### Summary of the Bayesian GVAR model ### #--- General Summary ---# Model was estimated using MCMC with 1 chains using 500 iterations each.Warmup was set to 500 iterations. The model was estimated using the IW covariance prior. #--- Parameter Summary ---# The posterior mean of the temporal coefficients is: V1 V2 V3 V1.l1 0.35588887 0.41995172 0.02188338 V2.l1 0.02180787 0.07985858 0.67753842 V3.l1 -0.19330298 0.53699082 0.02832425 Rownames correspond to the independent variable, column names to the dependent variable. The posterior mean of the contemporaneous coefficients is: V1 V2 V3 V1 0.0000000 0.3085663 -0.551497 V2 0.3085663 0.0000000 -0.339970 V3 -0.5514970 -0.3399700 0.000000 Chain 1: ------------------------------------------------------------ Chain 1: EXPERIMENTAL ALGORITHM: Chain 1: This procedure has not been thoroughly tested and may be unstable Chain 1: or buggy. The interface is subject to change. Chain 1: ------------------------------------------------------------ Chain 1: Chain 1: Chain 1: Chain 1: Gradient evaluation took 0.000292 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.92 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Begin eta adaptation. Chain 1: Iteration: 1 / 250 [ 0%] (Adaptation) Chain 1: Iteration: 50 / 250 [ 20%] (Adaptation) Chain 1: Iteration: 100 / 250 [ 40%] (Adaptation) Chain 1: Iteration: 150 / 250 [ 60%] (Adaptation) Chain 1: Iteration: 200 / 250 [ 80%] (Adaptation) Chain 1: Success! Found best value [eta = 1] earlier than expected. Chain 1: Chain 1: Begin stochastic gradient ascent. Chain 1: iter ELBO delta_ELBO_mean delta_ELBO_med notes Chain 1: 100 -929.578 1.000 1.000 Chain 1: 200 -672.725 0.691 1.000 Chain 1: 300 -458.774 0.616 0.466 Chain 1: 400 -347.243 0.542 0.466 Chain 1: 500 -323.567 0.449 0.382 Chain 1: 600 -324.176 0.374 0.382 Chain 1: 700 -327.637 0.322 0.321 Chain 1: 800 -325.279 0.283 0.321 Chain 1: 900 -323.475 0.252 0.073 Chain 1: 1000 -322.963 0.227 0.073 Chain 1: 1100 -324.750 0.127 0.011 Chain 1: 1200 -322.856 0.090 0.007 Chain 1: 1300 -324.466 0.044 0.006 Chain 1: 1400 -324.851 0.012 0.006 Chain 1: 1500 -324.595 0.005 0.006 Chain 1: 1600 -323.380 0.005 0.006 Chain 1: 1700 -323.691 0.004 0.005 Chain 1: 1800 -325.526 0.004 0.005 Chain 1: 1900 -323.507 0.004 0.005 Chain 1: 2000 -323.178 0.004 0.005 Chain 1: 2100 -325.077 0.004 0.005 Chain 1: 2200 -323.753 0.003 0.004 Chain 1: 2300 -325.258 0.003 0.004 Chain 1: 2400 -323.807 0.004 0.004 Chain 1: 2500 -323.648 0.004 0.004 Chain 1: 2600 -323.837 0.003 0.004 Chain 1: 2700 -323.689 0.003 0.004 Chain 1: 2800 -323.906 0.003 0.004 Chain 1: 2900 -323.532 0.002 0.001 Chain 1: 3000 -323.479 0.002 0.001 Chain 1: 3100 -322.489 0.002 0.001 Chain 1: 3200 -323.255 0.002 0.001 Chain 1: 3300 -324.487 0.002 0.001 Chain 1: 3400 -322.982 0.002 0.001 Chain 1: 3500 -322.985 0.002 0.001 Chain 1: 3600 -323.368 0.002 0.001 Chain 1: 3700 -322.881 0.002 0.002 Chain 1: 3800 -322.128 0.002 0.002 Chain 1: 3900 -323.103 0.002 0.002 Chain 1: 4000 -323.290 0.002 0.002 Chain 1: 4100 -323.152 0.002 0.002 Chain 1: 4200 -323.096 0.002 0.002 Chain 1: 4300 -323.197 0.001 0.001 Chain 1: 4400 -322.008 0.001 0.001 Chain 1: 4500 -323.578 0.002 0.002 Chain 1: 4600 -324.780 0.002 0.002 Chain 1: 4700 -323.124 0.002 0.003 Chain 1: 4800 -323.494 0.002 0.003 Chain 1: 4900 -323.314 0.002 0.001 Chain 1: 5000 -323.321 0.002 0.001 Chain 1: 5100 -323.270 0.002 0.001 Chain 1: 5200 -323.067 0.002 0.001 Chain 1: 5300 -323.189 0.002 0.001 Chain 1: 5400 -323.430 0.002 0.001 MEDIAN ELBO CONVERGED Chain 1: Chain 1: Drawing a sample of size 500 from the approximate posterior... Chain 1: COMPLETED. ### Summary of the Bayesian GVAR model ### #--- General Summary ---# Model was estimated using variational inference with 500 iterations. The model was estimated using the IW covariance prior. #--- Parameter Summary ---# The posterior mean of the temporal coefficients is: V1 V2 V3 V1.l1 0.36695483 0.43801978 0.009499139 V2.l1 0.01509396 0.08291481 0.680682092 V3.l1 -0.19276453 0.52784828 0.025041163 Rownames correspond to the independent variable, column names to the dependent variable. The posterior mean of the contemporaneous coefficients is: V1 V2 V3 V1 0.0000000 0.3011756 -0.5440599 V2 0.3011756 0.0000000 -0.3564875 V3 -0.5440599 -0.3564875 0.0000000 SAMPLING FOR MODEL 'VAR_wishart' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000206 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.06 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup) Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup) Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 1.624 seconds (Warm-up) Chain 1: 1.742 seconds (Sampling) Chain 1: 3.366 seconds (Total) Chain 1: Chain 1: ------------------------------------------------------------ Chain 1: EXPERIMENTAL ALGORITHM: Chain 1: This procedure has not been thoroughly tested and may be unstable Chain 1: or buggy. The interface is subject to change. Chain 1: ------------------------------------------------------------ Chain 1: Chain 1: Chain 1: Chain 1: Gradient evaluation took 0.000207 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.07 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Begin eta adaptation. Chain 1: Iteration: 1 / 250 [ 0%] (Adaptation) Chain 1: Iteration: 50 / 250 [ 20%] (Adaptation) Chain 1: Iteration: 100 / 250 [ 40%] (Adaptation) Chain 1: Iteration: 150 / 250 [ 60%] (Adaptation) Chain 1: Iteration: 200 / 250 [ 80%] (Adaptation) Chain 1: Iteration: 250 / 250 [100%] (Adaptation) Chain 1: Success! Found best value [eta = 0.1]. Chain 1: Chain 1: Begin stochastic gradient ascent. Chain 1: iter ELBO delta_ELBO_mean delta_ELBO_med notes Chain 1: 100 -555.339 1.000 1.000 Chain 1: 200 -444.287 0.625 1.000 Chain 1: 300 -399.827 0.454 0.250 Chain 1: 400 -372.354 0.359 0.250 Chain 1: 500 -351.792 0.299 0.111 Chain 1: 600 -343.073 0.253 0.111 Chain 1: 700 -333.766 0.221 0.074 Chain 1: 800 -332.563 0.194 0.074 Chain 1: 900 -328.621 0.174 0.058 Chain 1: 1000 -328.691 0.156 0.058 Chain 1: 1100 -326.797 0.057 0.028 Chain 1: 1200 -325.017 0.032 0.025 Chain 1: 1300 -323.684 0.022 0.012 Chain 1: 1400 -323.153 0.014 0.006 Chain 1: 1500 -323.028 0.009 0.005 Chain 1: 1600 -323.201 0.006 0.004 Chain 1: 1700 -323.071 0.003 0.004 Chain 1: 1800 -323.550 0.003 0.002 Chain 1: 1900 -323.740 0.002 0.001 Chain 1: 2000 -322.992 0.002 0.002 Chain 1: 2100 -322.660 0.002 0.001 Chain 1: 2200 -322.884 0.001 0.001 Chain 1: 2300 -322.550 0.001 0.001 Chain 1: 2400 -322.954 0.001 0.001 MEAN ELBO CONVERGED Chain 1: Chain 1: Drawing a sample of size 10000 from the approximate posterior... Chain 1: COMPLETED. SAMPLING FOR MODEL 'VAR_LKJ' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000304 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 3.04 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup) Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup) Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 2.047 seconds (Warm-up) Chain 1: 1.658 seconds (Sampling) Chain 1: 3.705 seconds (Total) Chain 1: SAMPLING FOR MODEL 'VAR_wishart' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.00021 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.1 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup) Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup) Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 2.067 seconds (Warm-up) Chain 1: 1.452 seconds (Sampling) Chain 1: 3.519 seconds (Total) Chain 1: SAMPLING FOR MODEL 'VAR_wishart' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000295 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.95 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup) Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup) Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 1.815 seconds (Warm-up) Chain 1: 1.651 seconds (Sampling) Chain 1: 3.466 seconds (Total) Chain 1: SAMPLING FOR MODEL 'VAR_LKJ_beep' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000171 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.71 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup) Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup) Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 1.316 seconds (Warm-up) Chain 1: 1.205 seconds (Sampling) Chain 1: 2.521 seconds (Total) Chain 1: SAMPLING FOR MODEL 'VAR_wishart_beep' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000238 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.38 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup) Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup) Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 1.41 seconds (Warm-up) Chain 1: 1.046 seconds (Sampling) Chain 1: 2.456 seconds (Total) Chain 1: SAMPLING FOR MODEL 'VAR_wishart' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.00021 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.1 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup) Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup) Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 2.1 seconds (Warm-up) Chain 1: 1.454 seconds (Sampling) Chain 1: 3.554 seconds (Total) Chain 1: SAMPLING FOR MODEL 'VAR_LKJ' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000196 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.96 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup) Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup) Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 1.428 seconds (Warm-up) Chain 1: 1.735 seconds (Sampling) Chain 1: 3.163 seconds (Total) Chain 1: SAMPLING FOR MODEL 'VAR_wishart' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000349 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 3.49 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup) Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup) Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling) Chain 1: Iteration: 1000 / 1000 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 7.492 seconds (Warm-up) Chain 1: 6.708 seconds (Sampling) Chain 1: 14.2 seconds (Total) Chain 1: [ FAIL 0 | WARN 12 | SKIP 0 | PASS 108 ] [ FAIL 0 | WARN 12 | SKIP 0 | PASS 108 ] > > proc.time() user system elapsed 95.98 0.98 96.98