R Under development (unstable) (2024-08-20 r87029 ucrt) -- "Unsuffered Consequences"
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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
Duplicate counts in x:
      id copies
   <int>  <int>
1:     1      2
x Error: table y is not uniquely identified by id
Duplicate counts in y:
      id copies
   <num>  <int>
1:     2      2
x Error: table x is not uniquely identified by id1
x Error: table y is not uniquely identified by id1
Duplicate counts in x:
     id1 copies
   <num>  <int>
1:     1      2
Duplicate counts in y:
     id1 copies
   <num>  <int>
1:     3      2
x Error: table y is not uniquely identified by id
Duplicate counts in y:
      id copies
   <num>  <int>
1:     2      2
x Error: table y is not uniquely identified by id
Duplicate counts in y:
      id copies
   <num>  <int>
1:     2      2
! 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%) <1:1st> df3[id1, id2] 3/4 (75%)
i Note: Joyn's report available in variable .joyn
v This is an info message
o Timing:The full joyn is executed in 0.000807 seconds.
o Timing: The entire joyn function, including checks, is executed in 0.040427
seconds.
! Warning: Currently, joyn allows only na_matches = 'na'
x This is a warning message
! Warning: Currently, joyn allows only na_matches = 'na'
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
-- JOYn Report --

  .joyn n percent
1     x 2    100%
2     y 1     50%
3 total 2    100%
---------------------------------------------------------- End of JOYn report --
i Note: Joyn's report available in variable .joyn
! Warning: cannot use arguments update_values = TRUE and/or update_NAs = TRUE
for anti join
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
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
1     x 2     25%
2     y 1   12.5%
3 x & y 5   62.5%
4 total 8    100%
────────────────────────────────────────────────────────── End of JOYn report ──
ℹ Note: Joyn's report available in variable .joyn
ℹ Note: 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 3 | PASS 469 ]

══ Skipped tests (3) ═══════════════════════════════════════════════════════════
• This test is not needed anymore because the match is always m:m in
  collapse::join (1): 'test-joyn_workhorse.R:76:3'
• joyn_workhorse does not check match type (1): 'test-joyn_workhorse.R:202:3'
• warning of cartesian is not working well yet - (1):
  'test-merge-data.table.R:69:3'

[ FAIL 0 | WARN 0 | SKIP 3 | PASS 469 ]
> 
> proc.time()
   user  system elapsed 
  25.92    1.96   27.64