Running ‘testthat.R’ [72s/102s]
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 0.000168 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.68 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: 0.43184 seconds (Warm-up)
                 0.275924 seconds (Sampling)
                 0.707764 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.00011 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.1 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: 2.28707 seconds (Warm-up)
                 1.81587 seconds (Sampling)
                 4.10294 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.5 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: 0.068665 seconds (Warm-up)
                 0.071595 seconds (Sampling)
                 0.14026 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 4.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.45 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: 0.066594 seconds (Warm-up)
                 0.069237 seconds (Sampling)
                 0.135831 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 5.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.54 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 6.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.62 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 0.000163 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.63 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: 0.745622 seconds (Warm-up)
                 0.756562 seconds (Sampling)
                 1.50218 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: 0.730718 seconds (Warm-up)
                 0.783212 seconds (Sampling)
                 1.51393 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  
  Gradient evaluation took 0.000102 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.02 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: 0.761044 seconds (Warm-up)
                 0.772877 seconds (Sampling)
                 1.53392 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  
  Gradient evaluation took 0.000105 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.05 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: 0.765293 seconds (Warm-up)
                 0.778071 seconds (Sampling)
                 1.54336 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 5.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.52 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: 0.155194 seconds (Warm-up)
                 0.172947 seconds (Sampling)
                 0.328141 seconds (Total)
  
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
  
  Gradient evaluation took 3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.3 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: 0.162052 seconds (Warm-up)
                 0.186926 seconds (Sampling)
                 0.348978 seconds (Total)
  
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
  
  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: 0.15238 seconds (Warm-up)
                 0.152435 seconds (Sampling)
                 0.304815 seconds (Total)
  
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
  
  Gradient evaluation took 3.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.33 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: 0.13965 seconds (Warm-up)
                 0.137211 seconds (Sampling)
                 0.276861 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 4.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.44 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: 0.123798 seconds (Warm-up)
                 0.122557 seconds (Sampling)
                 0.246355 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  
  Gradient evaluation took 2.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.23 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: 0.119488 seconds (Warm-up)
                 0.113215 seconds (Sampling)
                 0.232703 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  
  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: 0.117813 seconds (Warm-up)
                 0.121486 seconds (Sampling)
                 0.239299 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  
  Gradient evaluation took 2.8e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.28 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: 0.147399 seconds (Warm-up)
                 0.124062 seconds (Sampling)
                 0.271461 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.7 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: 0.326372 seconds (Warm-up)
                 0.326513 seconds (Sampling)
                 0.652885 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  
  Gradient evaluation took 4.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.44 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: 0.322494 seconds (Warm-up)
                 0.326444 seconds (Sampling)
                 0.648938 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  
  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: 0.331597 seconds (Warm-up)
                 0.298463 seconds (Sampling)
                 0.63006 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  
  Gradient evaluation took 4.3e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.43 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: 0.304819 seconds (Warm-up)
                 0.320157 seconds (Sampling)
                 0.624976 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 0.000208 seconds
  1000 transitions using 10 leapfrog steps per transition would take 2.08 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: 0.925031 seconds (Warm-up)
                 1.00616 seconds (Sampling)
                 1.93119 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  
  Gradient evaluation took 0.000136 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.36 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: 0.954514 seconds (Warm-up)
                 0.986599 seconds (Sampling)
                 1.94111 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  
  Gradient evaluation took 0.000127 seconds
  1000 transitions using 10 leapfrog steps per transition would take 1.27 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: 0.932614 seconds (Warm-up)
                 0.972971 seconds (Sampling)
                 1.90559 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  
  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: 0.942265 seconds (Warm-up)
                 0.979004 seconds (Sampling)
                 1.92127 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  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: 0.013519 seconds (Warm-up)
                 0.014766 seconds (Sampling)
                 0.028285 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  
  Gradient evaluation took 3.5e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.35 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: 0.008757 seconds (Warm-up)
                 0.010138 seconds (Sampling)
                 0.018895 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: 0.014373 seconds (Warm-up)
                 0.01627 seconds (Sampling)
                 0.030643 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: 0.008902 seconds (Warm-up)
                 0.012548 seconds (Sampling)
                 0.02145 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 7e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.7 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: 0.199001 seconds (Warm-up)
                 0.344728 seconds (Sampling)
                 0.543729 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  
  Gradient evaluation took 5.4e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.54 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: 0.229546 seconds (Warm-up)
                 0.463072 seconds (Sampling)
                 0.692618 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  
  Gradient evaluation took 4.1e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.41 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: 0.296568 seconds (Warm-up)
                 0.538036 seconds (Sampling)
                 0.834604 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  
  Gradient evaluation took 7.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.72 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: 0.272583 seconds (Warm-up)
                 0.327106 seconds (Sampling)
                 0.599689 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  
  Gradient evaluation took 5.6e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.56 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: 0.201943 seconds (Warm-up)
                 0.21353 seconds (Sampling)
                 0.415473 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  
  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: 0.207921 seconds (Warm-up)
                 0.208054 seconds (Sampling)
                 0.415975 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: 0.21555 seconds (Warm-up)
                 0.21509 seconds (Sampling)
                 0.43064 seconds (Total)
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  
  Gradient evaluation took 6.2e-05 seconds
  1000 transitions using 10 leapfrog steps per transition would take 0.62 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: 0.205843 seconds (Warm-up)
                 0.224513 seconds (Sampling)
                 0.430356 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