Running ‘testthat.R’ [62s/62s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > library(testthat)
  > library(psycho)
  > 
  > test_check("psycho")
  Failed with error:  'there is no package called 'GPArotation''
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
  Rejecting initial value:
    Log probability evaluates to log(0), i.e. negative infinity.
    Stan can't start sampling from this initial value.
  Rejecting initial value:
    Log probability evaluates to log(0), i.e. negative infinity.
    Stan can't start sampling from this initial value.
  
  Gradient evaluation took 0.000226 seconds
  1000 transitions using 10 leapfrog steps per transition would take 2.26 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:   1 / 1000 [  0%]  (Warmup)
  Iteration: 100 / 1000 [ 10%]  (Warmup)
  Iteration: 200 / 1000 [ 20%]  (Warmup)
  Iteration: 300 / 1000 [ 30%]  (Warmup)
  Iteration: 400 / 1000 [ 40%]  (Warmup)
  Iteration: 500 / 1000 [ 50%]  (Warmup)
  Iteration: 501 / 1000 [ 50%]  (Sampling)
  Iteration: 600 / 1000 [ 60%]  (Sampling)
  Iteration: 700 / 1000 [ 70%]  (Sampling)
  Iteration: 800 / 1000 [ 80%]  (Sampling)
  Iteration: 900 / 1000 [ 90%]  (Sampling)
  Iteration: 1000 / 1000 [100%]  (Sampling)
  
   Elapsed Time: 0.429708 seconds (Warm-up)
                 0.280695 seconds (Sampling)
                 0.710403 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.000101 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.01 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:   1 / 1000 [  0%]  (Warmup)
  Iteration: 100 / 1000 [ 10%]  (Warmup)
  Iteration: 200 / 1000 [ 20%]  (Warmup)
  Iteration: 300 / 1000 [ 30%]  (Warmup)
  Iteration: 400 / 1000 [ 40%]  (Warmup)
  Iteration: 500 / 1000 [ 50%]  (Warmup)
  Iteration: 501 / 1000 [ 50%]  (Sampling)
  Iteration: 600 / 1000 [ 60%]  (Sampling)
  Iteration: 700 / 1000 [ 70%]  (Sampling)
  Iteration: 800 / 1000 [ 80%]  (Sampling)
  Iteration: 900 / 1000 [ 90%]  (Sampling)
  Iteration: 1000 / 1000 [100%]  (Sampling)
  
   Elapsed Time: 1.57187 seconds (Warm-up)
                 1.56277 seconds (Sampling)
                 3.13463 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 4.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.41 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:   1 / 1000 [  0%]  (Warmup)
  Iteration: 100 / 1000 [ 10%]  (Warmup)
  Iteration: 200 / 1000 [ 20%]  (Warmup)
  Iteration: 300 / 1000 [ 30%]  (Warmup)
  Iteration: 400 / 1000 [ 40%]  (Warmup)
  Iteration: 500 / 1000 [ 50%]  (Warmup)
  Iteration: 501 / 1000 [ 50%]  (Sampling)
  Iteration: 600 / 1000 [ 60%]  (Sampling)
  Iteration: 700 / 1000 [ 70%]  (Sampling)
  Iteration: 800 / 1000 [ 80%]  (Sampling)
  Iteration: 900 / 1000 [ 90%]  (Sampling)
  Iteration: 1000 / 1000 [100%]  (Sampling)
  
   Elapsed Time: 0.034672 seconds (Warm-up)
                 0.033529 seconds (Sampling)
                 0.068201 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 4.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.47 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:   1 / 1000 [  0%]  (Warmup)
  Iteration: 100 / 1000 [ 10%]  (Warmup)
  Iteration: 200 / 1000 [ 20%]  (Warmup)
  Iteration: 300 / 1000 [ 30%]  (Warmup)
  Iteration: 400 / 1000 [ 40%]  (Warmup)
  Iteration: 500 / 1000 [ 50%]  (Warmup)
  Iteration: 501 / 1000 [ 50%]  (Sampling)
  Iteration: 600 / 1000 [ 60%]  (Sampling)
  Iteration: 700 / 1000 [ 70%]  (Sampling)
  Iteration: 800 / 1000 [ 80%]  (Sampling)
  Iteration: 900 / 1000 [ 90%]  (Sampling)
  Iteration: 1000 / 1000 [100%]  (Sampling)
  
   Elapsed Time: 0.064355 seconds (Warm-up)
                 0.059695 seconds (Sampling)
                 0.12405 seconds (Total)
  
  ------------------------------------------------------------
  EXPERIMENTAL ALGORITHM:
    This procedure has not been thoroughly tested and may be unstable
    or buggy. The interface is subject to change.
  ------------------------------------------------------------
  
  
  
  Gradient evaluation took 5.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.51 seconds.
  Adjust your expectations accordingly!
  
  
  Begin eta adaptation.
  Iteration:   1 / 250 [  0%]  (Adaptation)
  Iteration:  50 / 250 [ 20%]  (Adaptation)
  Iteration: 100 / 250 [ 40%]  (Adaptation)
  Iteration: 150 / 250 [ 60%]  (Adaptation)
  Iteration: 200 / 250 [ 80%]  (Adaptation)
  Success! Found best value [eta = 1] earlier than expected.
  
  Begin stochastic gradient ascent.
    iter       ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
     100     -4e+02             1.000            1.000
     200     -2e+02             1.011            1.021
     300     -2e+02             0.682            1.000
     400     -2e+02             0.511            1.000
     500     -2e+02             0.409            0.024
     600     -2e+02             0.341            0.024
     700     -2e+02             0.293            0.002   MEDIAN ELBO CONVERGED
  
  Drawing a sample of size 1000 from the approximate posterior... 
  COMPLETED.
  ------------------------------------------------------------
  EXPERIMENTAL ALGORITHM:
    This procedure has not been thoroughly tested and may be unstable
    or buggy. The interface is subject to change.
  ------------------------------------------------------------
  
  
  
  Gradient evaluation took 5.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.59 seconds.
  Adjust your expectations accordingly!
  
  
  Begin eta adaptation.
  Iteration:   1 / 250 [  0%]  (Adaptation)
  Iteration:  50 / 250 [ 20%]  (Adaptation)
  Iteration: 100 / 250 [ 40%]  (Adaptation)
  Iteration: 150 / 250 [ 60%]  (Adaptation)
  Iteration: 200 / 250 [ 80%]  (Adaptation)
  Success! Found best value [eta = 1] earlier than expected.
  
  Begin stochastic gradient ascent.
    iter       ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
     100     -9e+04             1.000            1.000
     200     -6e+02            79.074          157.147
     300     -5e+02            52.759            1.000
     400     -2e+02            39.982            1.651
     500     -2e+02            31.989            1.000
     600     -2e+02            26.660            1.000
     700     -2e+02            22.854            0.130
     800     -2e+02            19.999            0.130
     900     -2e+02            17.778            0.018
    1000     -2e+02            16.000            0.018
    1100     -2e+02            15.902            0.016   MAY BE DIVERGING... INSPECT ELBO
    1200     -2e+02             0.188            0.014
    1300     -2e+02             0.176            0.014
    1400     -2e+02             0.011            0.014
    1500     -2e+02             0.010            0.013   MEAN ELBO CONVERGED
  
  Drawing a sample of size 1000 from the approximate posterior... 
  COMPLETED.
  Initial log joint probability = -100816
  Optimization terminated normally: 
    Convergence detected: relative gradient magnitude is below tolerance
  The Crawford-Howell (1998) t-test suggests no dissociation between test X and test Y (t(5) = 2.10, p = 0.09<b0>). The patient's score on test X is not significantly altered compared to its score on test Y.
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.000184 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.84 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.616789 seconds (Warm-up)
                 0.749594 seconds (Sampling)
                 1.36638 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  
  Gradient evaluation took 9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.9 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.703994 seconds (Warm-up)
                 0.548651 seconds (Sampling)
                 1.25265 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  
  Gradient evaluation took 6.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.66 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.563708 seconds (Warm-up)
                 0.577078 seconds (Sampling)
                 1.14079 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  
  Gradient evaluation took 0.00012 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.2 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.707913 seconds (Warm-up)
                 0.751163 seconds (Sampling)
                 1.45908 seconds (Total)
  
  ── 1. Error: If it works. (@test-get_contrasts.stanreg.R#10)  ──────────────────
  number of items to replace is not a multiple of replacement length
  1: psycho::get_contrasts(fit, "Salary") at testthat/test-get_contrasts.stanreg.R:10
  2: get_contrasts.stanreg(fit, "Salary")
  3: fit %>% emmeans::emmeans(formula) %>% coda::as.mcmc() %>% as.matrix() %>% coda::as.mcmc() %>% 
         as.data.frame()
  4: withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
  5: eval(quote(`_fseq`(`_lhs`)), env, env)
  6: eval(quote(`_fseq`(`_lhs`)), env, env)
  7: `_fseq`(`_lhs`)
  8: freduce(value, `_function_list`)
  9: function_list[[i]](value)
  10: as.matrix(.)
  11: as.matrix.mcmc(.)
  
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
  
  Gradient evaluation took 4.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.47 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.146126 seconds (Warm-up)
                 0.162657 seconds (Sampling)
                 0.308783 seconds (Total)
  
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
  
  Gradient evaluation took 3.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.148032 seconds (Warm-up)
                 0.177462 seconds (Sampling)
                 0.325494 seconds (Total)
  
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
  
  Gradient evaluation took 2.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.26 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.129479 seconds (Warm-up)
                 0.133475 seconds (Sampling)
                 0.262954 seconds (Total)
  
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
  
  Gradient evaluation took 2.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.136044 seconds (Warm-up)
                 0.139368 seconds (Sampling)
                 0.275412 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 5.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.53 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.114272 seconds (Warm-up)
                 0.106818 seconds (Sampling)
                 0.22109 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  
  Gradient evaluation took 2.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.102006 seconds (Warm-up)
                 0.062293 seconds (Sampling)
                 0.164299 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  
  Gradient evaluation took 2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.071033 seconds (Warm-up)
                 0.110675 seconds (Sampling)
                 0.181708 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  
  Gradient evaluation took 2.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.21 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.130707 seconds (Warm-up)
                 0.1116 seconds (Sampling)
                 0.242307 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 6.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.61 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.322409 seconds (Warm-up)
                 0.301231 seconds (Sampling)
                 0.62364 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  
  Gradient evaluation took 3.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.38 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.319279 seconds (Warm-up)
                 0.32772 seconds (Sampling)
                 0.646999 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  
  Gradient evaluation took 4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.4 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.333655 seconds (Warm-up)
                 0.292597 seconds (Sampling)
                 0.626252 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  
  Gradient evaluation took 3.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.286646 seconds (Warm-up)
                 0.254857 seconds (Sampling)
                 0.541503 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.000124 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.24 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.713109 seconds (Warm-up)
                 0.929374 seconds (Sampling)
                 1.64248 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  
  Gradient evaluation took 0.000131 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.31 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.755571 seconds (Warm-up)
                 0.849523 seconds (Sampling)
                 1.60509 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  
  Gradient evaluation took 0.000116 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.16 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.863027 seconds (Warm-up)
                 0.88496 seconds (Sampling)
                 1.74799 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  
  Gradient evaluation took 0.000134 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.34 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.846717 seconds (Warm-up)
                 0.917774 seconds (Sampling)
                 1.76449 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 5.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.58 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  Iteration:  1 / 100 [  1%]  (Warmup)
  Iteration: 10 / 100 [ 10%]  (Warmup)
  Iteration: 20 / 100 [ 20%]  (Warmup)
  Iteration: 30 / 100 [ 30%]  (Warmup)
  Iteration: 40 / 100 [ 40%]  (Warmup)
  Iteration: 50 / 100 [ 50%]  (Warmup)
  Iteration: 51 / 100 [ 51%]  (Sampling)
  Iteration: 60 / 100 [ 60%]  (Sampling)
  Iteration: 70 / 100 [ 70%]  (Sampling)
  Iteration: 80 / 100 [ 80%]  (Sampling)
  Iteration: 90 / 100 [ 90%]  (Sampling)
  Iteration: 100 / 100 [100%]  (Sampling)
  
   Elapsed Time: 0.012204 seconds (Warm-up)
                 0.014732 seconds (Sampling)
                 0.026936 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  
  Gradient evaluation took 4.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.42 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  Iteration:  1 / 100 [  1%]  (Warmup)
  Iteration: 10 / 100 [ 10%]  (Warmup)
  Iteration: 20 / 100 [ 20%]  (Warmup)
  Iteration: 30 / 100 [ 30%]  (Warmup)
  Iteration: 40 / 100 [ 40%]  (Warmup)
  Iteration: 50 / 100 [ 50%]  (Warmup)
  Iteration: 51 / 100 [ 51%]  (Sampling)
  Iteration: 60 / 100 [ 60%]  (Sampling)
  Iteration: 70 / 100 [ 70%]  (Sampling)
  Iteration: 80 / 100 [ 80%]  (Sampling)
  Iteration: 90 / 100 [ 90%]  (Sampling)
  Iteration: 100 / 100 [100%]  (Sampling)
  
   Elapsed Time: 0.012705 seconds (Warm-up)
                 0.016469 seconds (Sampling)
                 0.029174 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  
  Gradient evaluation took 3.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  Iteration:  1 / 100 [  1%]  (Warmup)
  Iteration: 10 / 100 [ 10%]  (Warmup)
  Iteration: 20 / 100 [ 20%]  (Warmup)
  Iteration: 30 / 100 [ 30%]  (Warmup)
  Iteration: 40 / 100 [ 40%]  (Warmup)
  Iteration: 50 / 100 [ 50%]  (Warmup)
  Iteration: 51 / 100 [ 51%]  (Sampling)
  Iteration: 60 / 100 [ 60%]  (Sampling)
  Iteration: 70 / 100 [ 70%]  (Sampling)
  Iteration: 80 / 100 [ 80%]  (Sampling)
  Iteration: 90 / 100 [ 90%]  (Sampling)
  Iteration: 100 / 100 [100%]  (Sampling)
  
   Elapsed Time: 0.014076 seconds (Warm-up)
                 0.016319 seconds (Sampling)
                 0.030395 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  
  Gradient evaluation took 3.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  Iteration:  1 / 100 [  1%]  (Warmup)
  Iteration: 10 / 100 [ 10%]  (Warmup)
  Iteration: 20 / 100 [ 20%]  (Warmup)
  Iteration: 30 / 100 [ 30%]  (Warmup)
  Iteration: 40 / 100 [ 40%]  (Warmup)
  Iteration: 50 / 100 [ 50%]  (Warmup)
  Iteration: 51 / 100 [ 51%]  (Sampling)
  Iteration: 60 / 100 [ 60%]  (Sampling)
  Iteration: 70 / 100 [ 70%]  (Sampling)
  Iteration: 80 / 100 [ 80%]  (Sampling)
  Iteration: 90 / 100 [ 90%]  (Sampling)
  Iteration: 100 / 100 [100%]  (Sampling)
  
   Elapsed Time: 0.011765 seconds (Warm-up)
                 0.014815 seconds (Sampling)
                 0.02658 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 9.9e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.99 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  Iteration:  1 / 100 [  1%]  (Warmup)
  Iteration: 10 / 100 [ 10%]  (Warmup)
  Iteration: 20 / 100 [ 20%]  (Warmup)
  Iteration: 30 / 100 [ 30%]  (Warmup)
  Iteration: 40 / 100 [ 40%]  (Warmup)
  Iteration: 50 / 100 [ 50%]  (Warmup)
  Iteration: 51 / 100 [ 51%]  (Sampling)
  Iteration: 60 / 100 [ 60%]  (Sampling)
  Iteration: 70 / 100 [ 70%]  (Sampling)
  Iteration: 80 / 100 [ 80%]  (Sampling)
  Iteration: 90 / 100 [ 90%]  (Sampling)
  Iteration: 100 / 100 [100%]  (Sampling)
  
   Elapsed Time: 0.259424 seconds (Warm-up)
                 0.384761 seconds (Sampling)
                 0.644185 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  
  Gradient evaluation took 6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.6 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  Iteration:  1 / 100 [  1%]  (Warmup)
  Iteration: 10 / 100 [ 10%]  (Warmup)
  Iteration: 20 / 100 [ 20%]  (Warmup)
  Iteration: 30 / 100 [ 30%]  (Warmup)
  Iteration: 40 / 100 [ 40%]  (Warmup)
  Iteration: 50 / 100 [ 50%]  (Warmup)
  Iteration: 51 / 100 [ 51%]  (Sampling)
  Iteration: 60 / 100 [ 60%]  (Sampling)
  Iteration: 70 / 100 [ 70%]  (Sampling)
  Iteration: 80 / 100 [ 80%]  (Sampling)
  Iteration: 90 / 100 [ 90%]  (Sampling)
  Iteration: 100 / 100 [100%]  (Sampling)
  
   Elapsed Time: 0.34784 seconds (Warm-up)
                 0.281296 seconds (Sampling)
                 0.629136 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  
  Gradient evaluation took 3.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.33 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  Iteration:  1 / 100 [  1%]  (Warmup)
  Iteration: 10 / 100 [ 10%]  (Warmup)
  Iteration: 20 / 100 [ 20%]  (Warmup)
  Iteration: 30 / 100 [ 30%]  (Warmup)
  Iteration: 40 / 100 [ 40%]  (Warmup)
  Iteration: 50 / 100 [ 50%]  (Warmup)
  Iteration: 51 / 100 [ 51%]  (Sampling)
  Iteration: 60 / 100 [ 60%]  (Sampling)
  Iteration: 70 / 100 [ 70%]  (Sampling)
  Iteration: 80 / 100 [ 80%]  (Sampling)
  Iteration: 90 / 100 [ 90%]  (Sampling)
  Iteration: 100 / 100 [100%]  (Sampling)
  
   Elapsed Time: 0.227107 seconds (Warm-up)
                 0.314782 seconds (Sampling)
                 0.541889 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  
  Gradient evaluation took 4.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.47 seconds.
  Adjust your expectations accordingly!
  
  
  WARNING: There aren't enough warmup iterations to fit the
           three stages of adaptation as currently configured.
           Reducing each adaptation stage to 15%/75%/10% of
           the given number of warmup iterations:
             init_buffer = 7
             adapt_window = 38
             term_buffer = 5
  
  Iteration:  1 / 100 [  1%]  (Warmup)
  Iteration: 10 / 100 [ 10%]  (Warmup)
  Iteration: 20 / 100 [ 20%]  (Warmup)
  Iteration: 30 / 100 [ 30%]  (Warmup)
  Iteration: 40 / 100 [ 40%]  (Warmup)
  Iteration: 50 / 100 [ 50%]  (Warmup)
  Iteration: 51 / 100 [ 51%]  (Sampling)
  Iteration: 60 / 100 [ 60%]  (Sampling)
  Iteration: 70 / 100 [ 70%]  (Sampling)
  Iteration: 80 / 100 [ 80%]  (Sampling)
  Iteration: 90 / 100 [ 90%]  (Sampling)
  Iteration: 100 / 100 [100%]  (Sampling)
  
   Elapsed Time: 0.214791 seconds (Warm-up)
                 0.209173 seconds (Sampling)
                 0.423964 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 6.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.61 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.208954 seconds (Warm-up)
                 0.19721 seconds (Sampling)
                 0.406164 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  
  Gradient evaluation took 3.7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.37 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.207362 seconds (Warm-up)
                 0.2077 seconds (Sampling)
                 0.415062 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  
  Gradient evaluation took 3.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.38 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.205979 seconds (Warm-up)
                 0.210153 seconds (Sampling)
                 0.416132 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  
  Gradient evaluation took 3.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.35 seconds.
  Adjust your expectations accordingly!
  
  
  Iteration:    1 / 2000 [  0%]  (Warmup)
  Iteration:  200 / 2000 [ 10%]  (Warmup)
  Iteration:  400 / 2000 [ 20%]  (Warmup)
  Iteration:  600 / 2000 [ 30%]  (Warmup)
  Iteration:  800 / 2000 [ 40%]  (Warmup)
  Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Iteration: 2000 / 2000 [100%]  (Sampling)
  
   Elapsed Time: 0.208386 seconds (Warm-up)
                 0.21589 seconds (Sampling)
                 0.424276 seconds (Total)
  
  .0%
  .33%
  .67%
  .100%
  1
  ══ testthat results  ═══════════════════════════════════════════════════════════
  OK: 136 SKIPPED: 0 FAILED: 1
  1. Error: If it works. (@test-get_contrasts.stanreg.R#10) 
  
  Error: testthat unit tests failed
  Execution halted