R Under development (unstable) (2024-06-25 r86831 ucrt) -- "Unsuffered Consequences"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(rlang)
> library(tibble)
> library(lubridate)

Attaching package: 'lubridate'

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

    date, intersect, setdiff, union

> library(testthat)

Attaching package: 'testthat'

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

    is_false, is_null, is_true

> library(tsibble)
Registered S3 method overwritten by 'tsibble':
  method               from 
  as_tibble.grouped_df dplyr

Attaching package: 'tsibble'

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

    interval

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

    intersect, setdiff, union

> 
> set.seed(2018)
> test_check("tsibble")

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

Using `yw` as index variable.
Using `date` as index variable.
Using `datetime` as index variable.
Using `datetime` as index variable.
Using `index` as index variable.
Joining with `by = join_by(holiday, date)`
Joining with `by = join_by(holiday, date)`
Joining with `by = join_by(holiday, date)`
Joining with `by = join_by(holiday, date)`
Joining with `by = join_by(holiday, date)`
Joining with `by = join_by(holiday, date)`
Joining with `by = join_by(holiday, date)`
Joining with `by = join_by(holiday, date)`
Joining with `by = join_by(holiday, date)`
Joining with `by = join_by(holiday, date)`
Joining with `by = join_by(holiday, date)`
Joining with `by = join_by(holiday, date)`
Joining with `by = join_by(holiday, date)`
Joining with `by = join_by(holiday, date)`
Joining with `by = join_by(holiday, date)`
Joining with `by = join_by(holiday, date)`
Joining with `by = join_by(holiday, date)`
Joining with `by = join_by(holiday, date)`
Joining with `by = join_by(holiday, date)`
Joining with `by = join_by(holiday, date)`
Joining with `by = join_by(holiday, date)`
Joining with `by = join_by(holiday, date)`
Joining with `by = join_by(grp)`
Joining with `by = join_by(grp)`
Joining with `by = join_by(grp)`
Joining with `by = join_by(year)`
Joining with `by = join_by(grp)`
Joining with `by = join_by(grp)`
Joining with `by = join_by(grp)`
Joining with `by = join_by(grp)`
Joining with `by = join_by(year, grp)`
Using `time` as index variable.
Joining with `by = join_by(id, time)`
Joining with `by = join_by(id, time)`
Joining with `by = join_by(id, time)`
Joining with `by = join_by(id, time)`
Using `date` as index variable.

Attaching package: 'tidyr'

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

    matches

Using `idx` as index variable.
Using `date` as index variable.
Using `time` as index variable.
Using `date_time` as index variable.
Using `Date Time` as index variable.
Using `date_time` as index variable.
Using `date_time` as index variable.

Attaching package: 'hms'

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

    hms

Using `date` as index variable.
[ FAIL 0 | WARN 0 | SKIP 6 | PASS 742 ]

══ Skipped tests (6) ═══════════════════════════════════════════════════════════
• On CRAN (6): 'test-filter-index.R:47:3', 'test-filter-index.R:78:3',
  'test-tsibble.R:200:3', 'test-tsibble.R:218:3', 'test-tsibble.R:332:3',
  'test-tsibble2ts.R:54:3'

[ FAIL 0 | WARN 0 | SKIP 6 | PASS 742 ]
> 
> proc.time()
   user  system elapsed 
  30.68    3.00   33.98