method = sample (Default)
  sample
    num_samples = 1000 (Default)
    num_warmup = 1000 (Default)
    save_warmup = 0 (Default)
    thin = 1 (Default)
    adapt
      engaged = 1 (Default)
      gamma = 0.050000000000000003 (Default)
      delta = 0.80000000000000004 (Default)
      kappa = 0.75 (Default)
      t0 = 10 (Default)
      init_buffer = 75 (Default)
      term_buffer = 50 (Default)
      window = 25 (Default)
    algorithm = hmc (Default)
      hmc
        engine = nuts (Default)
          nuts
            max_depth = 10 (Default)
        metric = diag_e (Default)
        metric_file =  (Default)
        stepsize = 1 (Default)
        stepsize_jitter = 0 (Default)
id = 3
data
  file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-data/bernoulli.data.R
init = 2 (Default)
random
  seed = 6568
output
  file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-tmp/bernoulli.output-3.csv
  diagnostic_file =  (Default)
  refresh = 100 (Default)


Gradient evaluation took 1.5e-05 seconds
1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
Adjust your expectations accordingly!


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Iteration: 1001 / 2000 [ 50%]  (Sampling)
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 Elapsed Time: 0.014079 seconds (Warm-up)
               0.024519 seconds (Sampling)
               0.038598 seconds (Total)

