R version 4.4.0 alpha (2024-03-26 r86209 ucrt)
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> library(testthat)
> library(joyn)

Attaching package: 'joyn'

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

    merge

> 
> test_check("joyn")
x Error: Input table x has no columns.
x Error: Input table x has no columns.
x Error: Input table y has no columns.
x Error: Neither x or y table has columns.
x Error: Table x has the following column duplicated:`x` Please rename or
remove and try again.
x Error: table x is not uniquely identified by id
x Error: table y is not uniquely identified by id
x Error: table x is not uniquely identified by id1
x Error: table y is not uniquely identified by id1
x Error: table y is not uniquely identified by id
x Error: table y is not uniquely identified by id
!  Warning: argument copy = TRUE is not active in this version of joyn
!  Warning: joyn does not currently allow inequality joins, so keep = NULL will
retain only keys in x
inner join: df1[id1, id2] 3/4 (75%) <m:m> df3[id1, id2] 3/4 (75%)
i > Joyn's report available in variable .joyn
i > Removing key variables keyby2 and keyby1 from keyby2, keyby1, y, and x
v This is an info message
o Timing: The full joyn is executed in 0.000139 seconds
o Timing: The entire joyn function, including checks, is executed in 0.030745
seconds
!  Warning: Unmatched = error not active for this joyn -unmatched keys are not
detected
x This is a warning message
!  Warning: Unmatched = error not active for this joyn -unmatched keys are not
detected
x This is a warning message
v first try
v first try info
v second try warn
v first try info
v third try note
v second try warn
x Error: table y is not uniquely identified by id
x Error: table x is not uniquely identified by id
x Error: table y is not uniquely identified by id
x Error: in joyn_workhorse, by argument has length of 0
x Error: table x is not uniquely identified by id
v There are no duplicates in data frame
> we found 1 possible id
v There are no duplicates in data frame
> we found 1 possible id
! Since `exclude` is NULL, `include` directive does not make sense. Ignored.
v There are no duplicates in data frame
> we found 1 possible id
v There are no duplicates in data frame
> we found 2 possible ids
! Data has duplicates. returning NULL

-- Duplicates in terms of `t` 
   copies     n percent
   <char> <int>  <char>
1:      1     1   33.3%
2:      2     2   66.7%
3:  total     3    100%
------------------------------------------------------- End of is_id() report --
! Variable rer is not available in data frame. Nothing is excluded.
v There are no duplicates in data frame
> we found 1 possible id
v There are no duplicates in data frame
> we found 1 possible id
v There are no duplicates in data frame
> we found 1 possible id

── JOYn Report ──

    .joyn     n percent
   <char> <int>  <char>
1:      1     2     25%
2:      2     1   12.5%
3:      3     5   62.5%
4:  total     8    100%
────────────────────────────────────────────────────────── End of JOYn report ──
ℹ ❯ Joyn's report available in variable .joyn
ℹ ❯ Removing key variables id from id, x, category, and t
i name x- is an invalid variable name. It will be changed to x.
i name is an invalid variable name. It will be changed to X
[ FAIL 0 | WARN 0 | SKIP 1 | PASS 423 ]

══ Skipped tests (1) ═══════════════════════════════════════════════════════════
• warning of cartesian is not working well yet - (1):
  'test-merge-data.table.R:69:3'

[ FAIL 0 | WARN 0 | SKIP 1 | PASS 423 ]
> 
> proc.time()
   user  system elapsed 
  16.54    1.03   17.28