Last updated on 2023-03-20 05:52:49 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.0.0 | OK | ||||
| r-devel-linux-x86_64-debian-gcc | 1.0.0 | 12.47 | 175.29 | 187.76 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 1.0.0 | 359.13 | OK | |||
| r-devel-linux-x86_64-fedora-gcc | 1.0.0 | 356.36 | OK | |||
| r-patched-linux-x86_64 | 1.0.0 | 16.33 | 248.52 | 264.85 | OK | |
| r-release-linux-x86_64 | 1.0.0 | 15.47 | 248.68 | 264.15 | OK | |
| r-release-macos-arm64 | 1.0.0 | 89.00 | OK | |||
| r-release-macos-x86_64 | 1.0.0 | 122.00 | OK | |||
| r-release-windows-x86_64 | 1.0.0 | 64.00 | 290.00 | 354.00 | OK | |
| r-oldrel-macos-arm64 | 1.0.0 | 65.00 | OK | |||
| r-oldrel-macos-x86_64 | 1.0.0 | 118.00 | OK | |||
| r-oldrel-windows-ix86+x86_64 | 1.0.0 | 32.00 | 276.00 | 308.00 | OK |
Version: 1.0.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [16s/24s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(tidyposterior)
>
> test_check("tidyposterior")
Attaching package: 'rsample'
The following object is masked from 'package:testthat':
matches
SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0 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 = 7
Chain 1: adapt_window = 38
Chain 1: term_buffer = 5
Chain 1:
Chain 1: Iteration: 1 / 100 [ 1%] (Warmup)
Chain 1: Iteration: 10 / 100 [ 10%] (Warmup)
Chain 1: Iteration: 20 / 100 [ 20%] (Warmup)
Chain 1: Iteration: 30 / 100 [ 30%] (Warmup)
Chain 1: Iteration: 40 / 100 [ 40%] (Warmup)
Chain 1: Iteration: 50 / 100 [ 50%] (Warmup)
Chain 1: Iteration: 51 / 100 [ 51%] (Sampling)
Chain 1: Iteration: 60 / 100 [ 60%] (Sampling)
Chain 1: Iteration: 70 / 100 [ 70%] (Sampling)
Chain 1: Iteration: 80 / 100 [ 80%] (Sampling)
Chain 1: Iteration: 90 / 100 [ 90%] (Sampling)
Chain 1: Iteration: 100 / 100 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.063309 seconds (Warm-up)
Chain 1: 0.08194 seconds (Sampling)
Chain 1: 0.145249 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 0 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0 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 = 7
Chain 2: adapt_window = 38
Chain 2: term_buffer = 5
Chain 2:
Chain 2: Iteration: 1 / 100 [ 1%] (Warmup)
Chain 2: Iteration: 10 / 100 [ 10%] (Warmup)
Chain 2: Iteration: 20 / 100 [ 20%] (Warmup)
Chain 2: Iteration: 30 / 100 [ 30%] (Warmup)
Chain 2: Iteration: 40 / 100 [ 40%] (Warmup)
Chain 2: Iteration: 50 / 100 [ 50%] (Warmup)
Chain 2: Iteration: 51 / 100 [ 51%] (Sampling)
Chain 2: Iteration: 60 / 100 [ 60%] (Sampling)
Chain 2: Iteration: 70 / 100 [ 70%] (Sampling)
Chain 2: Iteration: 80 / 100 [ 80%] (Sampling)
Chain 2: Iteration: 90 / 100 [ 90%] (Sampling)
Chain 2: Iteration: 100 / 100 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.074967 seconds (Warm-up)
Chain 2: 0.077758 seconds (Sampling)
Chain 2: 0.152725 seconds (Total)
Chain 2:
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
For binary classification, the first factor level is assumed to be the event.
Use the argument `event_level = "second"` to alter this as needed.
SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0 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 = 3
Chain 1: adapt_window = 20
Chain 1: term_buffer = 2
Chain 1:
Chain 1: Iteration: 1 / 50 [ 2%] (Warmup)
Chain 1: Iteration: 5 / 50 [ 10%] (Warmup)
Chain 1: Iteration: 10 / 50 [ 20%] (Warmup)
Chain 1: Iteration: 15 / 50 [ 30%] (Warmup)
Chain 1: Iteration: 20 / 50 [ 40%] (Warmup)
Chain 1: Iteration: 25 / 50 [ 50%] (Warmup)
Chain 1: Iteration: 26 / 50 [ 52%] (Sampling)
Chain 1: Iteration: 30 / 50 [ 60%] (Sampling)
Chain 1: Iteration: 35 / 50 [ 70%] (Sampling)
Chain 1: Iteration: 40 / 50 [ 80%] (Sampling)
Chain 1: Iteration: 45 / 50 [ 90%] (Sampling)
Chain 1: Iteration: 50 / 50 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.03411 seconds (Warm-up)
Chain 1: 0.043387 seconds (Sampling)
Chain 1: 0.077497 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 0 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0 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 = 3
Chain 2: adapt_window = 20
Chain 2: term_buffer = 2
Chain 2:
Chain 2: Iteration: 1 / 50 [ 2%] (Warmup)
Chain 2: Iteration: 5 / 50 [ 10%] (Warmup)
Chain 2: Iteration: 10 / 50 [ 20%] (Warmup)
Chain 2: Iteration: 15 / 50 [ 30%] (Warmup)
Chain 2: Iteration: 20 / 50 [ 40%] (Warmup)
Chain 2: Iteration: 25 / 50 [ 50%] (Warmup)
Chain 2: Iteration: 26 / 50 [ 52%] (Sampling)
Chain 2: Iteration: 30 / 50 [ 60%] (Sampling)
Chain 2: Iteration: 35 / 50 [ 70%] (Sampling)
Chain 2: Iteration: 40 / 50 [ 80%] (Sampling)
Chain 2: Iteration: 45 / 50 [ 90%] (Sampling)
Chain 2: Iteration: 50 / 50 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.104206 seconds (Warm-up)
Chain 2: 0.077121 seconds (Sampling)
Chain 2: 0.181327 seconds (Total)
Chain 2:
SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0 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 = 3
Chain 1: adapt_window = 20
Chain 1: term_buffer = 2
Chain 1:
Chain 1: Iteration: 1 / 50 [ 2%] (Warmup)
Chain 1: Iteration: 5 / 50 [ 10%] (Warmup)
Chain 1: Iteration: 10 / 50 [ 20%] (Warmup)
Chain 1: Iteration: 15 / 50 [ 30%] (Warmup)
Chain 1: Iteration: 20 / 50 [ 40%] (Warmup)
Chain 1: Iteration: 25 / 50 [ 50%] (Warmup)
Chain 1: Iteration: 26 / 50 [ 52%] (Sampling)
Chain 1: Iteration: 30 / 50 [ 60%] (Sampling)
Chain 1: Iteration: 35 / 50 [ 70%] (Sampling)
Chain 1: Iteration: 40 / 50 [ 80%] (Sampling)
Chain 1: Iteration: 45 / 50 [ 90%] (Sampling)
Chain 1: Iteration: 50 / 50 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.016006 seconds (Warm-up)
Chain 1: 0.016001 seconds (Sampling)
Chain 1: 0.032007 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 0 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0 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 = 3
Chain 2: adapt_window = 20
Chain 2: term_buffer = 2
Chain 2:
Chain 2: Iteration: 1 / 50 [ 2%] (Warmup)
Chain 2: Iteration: 5 / 50 [ 10%] (Warmup)
Chain 2: Iteration: 10 / 50 [ 20%] (Warmup)
Chain 2: Iteration: 15 / 50 [ 30%] (Warmup)
Chain 2: Iteration: 20 / 50 [ 40%] (Warmup)
Chain 2: Iteration: 25 / 50 [ 50%] (Warmup)
Chain 2: Iteration: 26 / 50 [ 52%] (Sampling)
Chain 2: Iteration: 30 / 50 [ 60%] (Sampling)
Chain 2: Iteration: 35 / 50 [ 70%] (Sampling)
Chain 2: Iteration: 40 / 50 [ 80%] (Sampling)
Chain 2: Iteration: 45 / 50 [ 90%] (Sampling)
Chain 2: Iteration: 50 / 50 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.016901 seconds (Warm-up)
Chain 2: 0.020002 seconds (Sampling)
Chain 2: 0.036903 seconds (Total)
Chain 2:
[ FAIL 2 | WARN 32 | SKIP 5 | PASS 97 ]
══ Skipped tests ═══════════════════════════════════════════════════════════════
• On CRAN (5)
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test_perf_mod.R:234:3'): workflow sets ────────────────────────────
`rsq_mod <- perf_mod(wset, seed = 3, refresh = 0, metric = "rsq")` threw an unexpected error.
Message: Can't find `fns` in environment.
Class: rlang_error/error/condition
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_perf_mod.R:234:2
2. │ └─testthat:::expect_condition_matching(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. ├─tidyposterior::perf_mod(wset, seed = 3, refresh = 0, metric = "rsq")
8. └─tidyposterior:::perf_mod.workflow_set(...)
9. └─tune::metrics_info(metric_info)
10. └─rlang::env_get(environment(x), "fns")
11. └─rlang:::stop_env_get_missing(nm)
12. └─rlang::abort(msg, call = caller_env())
── Error ('test_perf_mod.R:238:3'): workflow sets ──────────────────────────────
Error in `eval(code, test_env)`: object 'rsq_mod' not found
Backtrace:
▆
1. ├─testthat::expect_equal(...) at test_perf_mod.R:238:2
2. │ └─testthat::quasi_label(enquo(object), label, arg = "object")
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─base::colnames(coef(rsq_mod$stan)$id)
5. │ └─base::is.data.frame(x)
6. └─stats::coef(rsq_mod$stan)
[ FAIL 2 | WARN 32 | SKIP 5 | PASS 97 ]
Error: Test failures
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc