R Under development (unstable) (2025-07-24 r88447 ucrt) -- "Unsuffered Consequences"
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> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/tests.html
> # * https://testthat.r-lib.org/reference/test_package.html#special-files
> 
> library(testthat)
> library(bennu)
> 
> test_check("bennu")
Loading required package: StanHeaders

rstan version 2.32.7 (Stan version 2.32.2)

For execution on a local, multicore CPU with excess RAM we recommend calling
options(mc.cores = parallel::detectCores()).
To avoid recompilation of unchanged Stan programs, we recommend calling
rstan_options(auto_write = TRUE)
For within-chain threading using `reduce_sum()` or `map_rect()` Stan functions,
change `threads_per_chain` option:
rstan_options(threads_per_chain = 1)

Do not specify '-march=native' in 'LOCAL_CPPFLAGS' or a Makevars file
starting worker pid=70112 on localhost:11128 at 23:53:26.176
starting worker pid=20636 on localhost:11128 at 23:53:26.342

SAMPLING FOR MODEL 'distribution_covariate_model' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 8.7e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.87 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1: 
Chain 1: 
Chain 1: WARNING: There aren't enough warmup iterations to fit the
Chain 1:          three stages of adaptation as currently configured.
Chain 1:          Reducing each adaptation stage to 15%/75%/10% of
Chain 1:          the given number of warmup iterations:
Chain 1:            init_buffer = 15
Chain 1:            adapt_window = 75
Chain 1:            term_buffer = 10
Chain 1: 
Chain 1: Iteration:   1 / 200 [  0%]  (Warmup)
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SAMPLING FOR MODEL 'distribution_covariate_model' NOW (CHAIN 2).
Chain 2: 
Chain 2: Gradient evaluation took 4.3e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.43 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2: 
Chain 2: 
Chain 2: WARNING: There aren't enough warmup iterations to fit the
Chain 2:          three stages of adaptation as currently configured.
Chain 2:          Reducing each adaptation stage to 15%/75%/10% of
Chain 2:          the given number of warmup iterations:
Chain 2:            init_buffer = 15
Chain 2:            adapt_window = 75
Chain 2:            term_buffer = 10
Chain 2: 
Chain 2: Iteration:   1 / 200 [  0%]  (Warmup)
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Chain 2: Iteration:  80 / 200 [ 40%]  (Warmup)
Chain 1: Iteration: 200 / 200 [100%]  (Sampling)
Chain 1: 
Chain 1:  Elapsed Time: 0.337 seconds (Warm-up)
Chain 1:                0.348 seconds (Sampling)
Chain 1:                0.685 seconds (Total)
Chain 1: 
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Chain 2: Iteration: 200 / 200 [100%]  (Sampling)
Chain 2: 
Chain 2:  Elapsed Time: 0.5 seconds (Warm-up)
Chain 2:                0.471 seconds (Sampling)
Chain 2:                0.971 seconds (Total)
Chain 2: 
starting worker pid=113956 on localhost:11128 at 23:53:30.716
starting worker pid=57424 on localhost:11128 at 23:53:30.882

SAMPLING FOR MODEL 'distribution_covariate_model' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 3.4e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1: 
Chain 1: 
Chain 1: WARNING: There aren't enough warmup iterations to fit the
Chain 1:          three stages of adaptation as currently configured.
Chain 1:          Reducing each adaptation stage to 15%/75%/10% of
Chain 1:          the given number of warmup iterations:
Chain 1:            init_buffer = 15
Chain 1:            adapt_window = 75
Chain 1:            term_buffer = 10
Chain 1: 
Chain 1: Iteration:   1 / 200 [  0%]  (Warmup)
Chain 1: Iteration:  20 / 200 [ 10%]  (Warmup)
Chain 1: Iteration:  40 / 200 [ 20%]  (Warmup)
Chain 1: Iteration:  60 / 200 [ 30%]  (Warmup)
Chain 1: Iteration:  80 / 200 [ 40%]  (Warmup)

SAMPLING FOR MODEL 'distribution_covariate_model' NOW (CHAIN 2).
Chain 2: 
Chain 2: Gradient evaluation took 3.3e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.33 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2: 
Chain 2: 
Chain 2: WARNING: There aren't enough warmup iterations to fit the
Chain 2:          three stages of adaptation as currently configured.
Chain 2:          Reducing each adaptation stage to 15%/75%/10% of
Chain 2:          the given number of warmup iterations:
Chain 2:            init_buffer = 15
Chain 2:            adapt_window = 75
Chain 2:            term_buffer = 10
Chain 2: 
Chain 2: Iteration:   1 / 200 [  0%]  (Warmup)
Chain 2: Iteration:  20 / 200 [ 10%]  (Warmup)
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Chain 2: Iteration: 200 / 200 [100%]  (Sampling)
Chain 1: Iteration: 160 / 200 [ 80%]  (Sampling)
Chain 2: 
Chain 2:  Elapsed Time: 0.176 seconds (Warm-up)
Chain 2:                0.14 seconds (Sampling)
Chain 2:                0.316 seconds (Total)
Chain 2: 
Chain 1: Iteration: 180 / 200 [ 90%]  (Sampling)
Chain 1: Iteration: 200 / 200 [100%]  (Sampling)
Chain 1: 
Chain 1:  Elapsed Time: 0.275 seconds (Warm-up)
Chain 1:                0.43 seconds (Sampling)
Chain 1:                0.705 seconds (Total)
Chain 1: 

SAMPLING FOR MODEL 'distribution_covariate_model' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 4.1e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.41 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1: 
Chain 1: 
Chain 1: WARNING: No variance estimation is
Chain 1:          performed for num_warmup < 20
Chain 1: 
Chain 1: Iteration: 1 / 1 [100%]  (Sampling)
Chain 1: 
Chain 1:  Elapsed Time: 0 seconds (Warm-up)
Chain 1:                0 seconds (Sampling)
Chain 1:                0 seconds (Total)
Chain 1: 

SAMPLING FOR MODEL 'distribution_covariate_model' NOW (CHAIN 1).
Chain 1: 
Chain 1: Gradient evaluation took 3.6e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1: 
Chain 1: 
Chain 1: WARNING: No variance estimation is
Chain 1:          performed for num_warmup < 20
Chain 1: 
Chain 1: Iteration: 1 / 1 [100%]  (Sampling)
Chain 1: 
Chain 1:  Elapsed Time: 0 seconds (Warm-up)
Chain 1:                0 seconds (Sampling)
Chain 1:                0 seconds (Total)
Chain 1: 
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Attaching package: 'dplyr'

The following object is masked from 'package:testthat':

    matches

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

[ FAIL 0 | WARN 16 | SKIP 0 | PASS 21 ]

[ FAIL 0 | WARN 16 | SKIP 0 | PASS 21 ]
There were 15 warnings (use warnings() to see them)
> 
> proc.time()
   user  system elapsed 
  12.60    0.67   19.40