Running ‘testthat.R’ [135s/167s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > # 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(duckplyr)
  Loading required package: dplyr
  
  Attaching package: 'dplyr'
  
  The following objects are masked from 'package:stats':
  
      filter, lag
  
  The following objects are masked from 'package:base':
  
      intersect, setdiff, setequal, union
  
  The duckplyr package is configured to fall back to dplyr when it encounters an
  incompatibility. Fallback events can be collected and uploaded for analysis to
  guide future development. By default, data will be collected but no data will
  be uploaded.
  ℹ Automatic fallback uploading is not controlled and therefore disabled, see
    `?duckplyr::fallback()`.
  ✔ Number of reports ready for upload: 1.
  → Review with `duckplyr::fallback_review()`, upload with
    `duckplyr::fallback_upload()`.
  ℹ Configure automatic uploading with `duckplyr::fallback_config()`.
  ✔ Overwriting dplyr methods with duckplyr methods.
  ℹ Turn off with `duckplyr::methods_restore()`.
  > 
  > test_check("duckplyr")
  Saving _problems/test-tpch-133.R
  Saving _problems/test-tpch-270.R
  Saving _problems/test-as_duckplyr_df-268.R
  Saving _problems/test-as_duckplyr_df-281.R
  Saving _problems/test-as_duckplyr_df-294.R
  Saving _problems/test-as_duckplyr_df-307.R
  Saving _problems/test-as_duckplyr_df-320.R
  Saving _problems/test-as_duckplyr_df-333.R
  Saving _problems/test-dplyr-count-tally-190.R
  Saving _problems/test-dplyr-across-571.R
  Saving _problems/test-dplyr-across-971.R
  Saving _problems/test-dplyr-across-1153.R
  Saving _problems/test-dplyr-generics-153.R
  Saving _problems/test-dplyr-group-by-103.R
  Saving _problems/test-dplyr-group-data-63.R
  Saving _problems/test-dplyr-group-data-86.R
  Saving _problems/test-dplyr-if-else-119.R
  Saving _problems/test-dplyr-join-rows-442.R
  Saving _problems/test-dplyr-select-helpers-20.R
  Saving _problems/test-dplyr-summarise-23.R
  Saving _problems/test-dplyr-summarise-152.R
  Saving _problems/test-dplyr-summarise-571.R
  Saving _problems/test-prudence-44.R
  Saving _problems/test-prudence-53.R
  [ FAIL 24 | WARN 46 | SKIP 592 | PASS 2317 ]
  
  ══ Skipped tests (592) ═════════════════════════════════════════════════════════
  • Always returns tibble (1): 'test-as_duckplyr_df.R:743:3'
  • External vector? (4): 'test-as_duckplyr_df.R:2366:3',
    'test-as_duckplyr_df.R:2382:3', 'test-as_duckplyr_df.R:2396:3',
    'test-as_duckplyr_df.R:2412:3'
  • Grouped (4): 'test-as_duckplyr_df.R:669:3', 'test-as_duckplyr_df.R:727:3',
    'test-as_duckplyr_df.R:789:3', 'test-as_duckplyr_df.R:2658:3'
  • Hack (1): 'test-as_duckplyr_df.R:560:3'
  • Missing or empty names not allowed. (6): 'test-dplyr-mutate.R:909:3',
    'test-dplyr-filter.R:653:3', 'test-dplyr-select.R:47:3',
    'test-dplyr-select.R:143:3', 'test-dplyr-select.R:152:3',
    'test-dplyr-summarise.R:469:3'
  • Must pass a plain data frame or a tibble, not NULL. (1):
    'test-dplyr-copy-to.R:19:3'
  • Must pass a plain data frame or a tibble, not a <dplyr_foobar> object. (2):
    'test-dplyr-filter.R:584:3', 'test-dplyr-arrange.R:306:3'
  • Must pass a plain data frame or a tibble, not a <dplyr_test_broken_operator>
    object. (1): 'test-dplyr-select.R:183:3'
  • Must pass a plain data frame or a tibble, not a <foo_df> object. (4):
    'test-dplyr-filter.R:573:3', 'test-dplyr-arrange.R:295:3',
    'test-dplyr-group-split.R:122:3', 'test-dplyr-group-split.R:137:3'
  • Must pass a plain data frame or a tibble, not a <grouped_df> object. (205):
    'test-dplyr-mutate.R:14:3', 'test-dplyr-mutate.R:56:3',
    'test-dplyr-mutate.R:84:3', 'test-dplyr-mutate.R:116:3',
    'test-dplyr-mutate.R:156:3', 'test-dplyr-mutate.R:176:3',
    'test-dplyr-mutate.R:249:3', 'test-dplyr-mutate.R:263:3',
    'test-dplyr-mutate.R:300:3', 'test-dplyr-mutate.R:309:3',
    'test-dplyr-mutate.R:321:3', 'test-dplyr-mutate.R:407:3',
    'test-dplyr-mutate.R:432:3', 'test-dplyr-mutate.R:462:3',
    'test-dplyr-mutate.R:492:3', 'test-dplyr-mutate.R:587:3',
    'test-dplyr-mutate.R:634:3', 'test-dplyr-mutate.R:643:3',
    'test-dplyr-mutate.R:672:3', 'test-dplyr-mutate.R:681:3',
    'test-dplyr-mutate.R:702:3', 'test-dplyr-mutate.R:753:3',
    'test-dplyr-mutate.R:778:3', 'test-dplyr-mutate.R:799:3',
    'test-dplyr-mutate.R:899:3', 'test-dplyr-filter.R:15:5',
    'test-dplyr-filter.R:34:3', 'test-dplyr-filter.R:61:3',
    'test-dplyr-filter.R:124:3', 'test-dplyr-filter.R:164:3',
    'test-dplyr-filter.R:191:3', 'test-dplyr-filter.R:235:3',
    'test-dplyr-filter.R:243:3', 'test-dplyr-filter.R:309:3',
    'test-dplyr-filter.R:325:3', 'test-dplyr-filter.R:367:3',
    'test-dplyr-filter.R:418:3', 'test-dplyr-filter.R:443:3',
    'test-dplyr-filter.R:550:3', 'test-dplyr-filter.R:626:3',
    'test-dplyr-filter.R:638:3', 'test-dplyr-filter.R:709:3',
    'test-dplyr-count-tally.R:64:3', 'test-dplyr-count-tally.R:73:3',
    'test-dplyr-count-tally.R:84:3', 'test-dplyr-count-tally.R:166:3',
    'test-dplyr-count-tally.R:182:3', 'test-dplyr-across.R:21:3',
    'test-dplyr-across.R:28:3', 'test-dplyr-across.R:222:3',
    'test-dplyr-across.R:330:3', 'test-dplyr-across.R:340:3',
    'test-dplyr-across.R:685:3', 'test-dplyr-across.R:700:5',
    'test-dplyr-across.R:1104:3', 'test-dplyr-across.R:1197:3',
    'test-dplyr-across.R:1235:3', 'test-dplyr-across.R:1262:3',
    'test-dplyr-across.R:1412:3', 'test-dplyr-across.R:1426:3',
    'test-dplyr-arrange.R:16:3', 'test-dplyr-arrange.R:213:3',
    'test-dplyr-arrange.R:220:3', 'test-dplyr-arrange.R:226:3',
    'test-dplyr-arrange.R:344:3', 'test-dplyr-arrange.R:388:3',
    'test-dplyr-bind-rows.R:88:3', 'test-dplyr-conditions.R:10:3',
    'test-dplyr-context.R:16:3', 'test-dplyr-context.R:30:3',
    'test-dplyr-context.R:38:3', 'test-dplyr-context.R:57:3',
    'test-dplyr-distinct.R:57:3', 'test-dplyr-distinct.R:63:3',
    'test-dplyr-distinct.R:71:3', 'test-dplyr-distinct.R:122:3',
    'test-dplyr-distinct.R:163:3', 'test-dplyr-group-by.R:14:3',
    'test-dplyr-group-by.R:25:3', 'test-dplyr-group-by.R:54:3',
    'test-dplyr-group-by.R:65:3', 'test-dplyr-group-by.R:77:3',
    'test-dplyr-group-by.R:86:3', 'test-dplyr-group-by.R:94:3',
    'test-dplyr-group-by.R:124:5', 'test-dplyr-group-by.R:132:3',
    'test-dplyr-group-by.R:176:3', 'test-dplyr-group-by.R:187:3',
    'test-dplyr-group-by.R:202:3', 'test-dplyr-group-by.R:235:3',
    'test-dplyr-group-by.R:252:3', 'test-dplyr-group-by.R:283:7',
    'test-dplyr-group-by.R:298:3', 'test-dplyr-group-by.R:317:3',
    'test-dplyr-group-by.R:325:3', 'test-dplyr-group-by.R:355:3',
    'test-dplyr-group-by.R:365:3', 'test-dplyr-group-by.R:375:3',
    'test-dplyr-group-by.R:381:3', 'test-dplyr-group-by.R:387:3',
    'test-dplyr-group-by.R:424:3', 'test-dplyr-group-by.R:444:3',
    'test-dplyr-group-by.R:467:3', 'test-dplyr-group-by.R:485:3',
    'test-dplyr-group-by.R:503:3', 'test-dplyr-group-by.R:590:3',
    'test-dplyr-group-by.R:614:3', 'test-dplyr-group-data.R:56:3',
    'test-dplyr-group-data.R:95:3', 'test-dplyr-group-data.R:103:3',
    'test-dplyr-group-data.R:123:3', 'test-dplyr-group-data.R:131:3',
    'test-dplyr-group-map.R:9:3', 'test-dplyr-group-map.R:27:3',
    'test-dplyr-group-map.R:41:3', 'test-dplyr-group-map.R:66:3',
    'test-dplyr-group-map.R:78:3', 'test-dplyr-group-map.R:90:3',
    'test-dplyr-group-map.R:111:3', 'test-dplyr-group-map.R:127:3',
    'test-dplyr-group-nest.R:35:3', 'test-dplyr-group-nest.R:49:3',
    'test-dplyr-group-split.R:40:3', 'test-dplyr-group-split.R:50:3',
    'test-dplyr-group-split.R:79:3', 'test-dplyr-group-split.R:104:3',
    'test-dplyr-group-trim.R:13:3', 'test-dplyr-group-trim.R:21:3',
    'test-dplyr-grouped-df.R:13:3', 'test-dplyr-grouped-df.R:99:3',
    'test-dplyr-join.R:630:3', 'test-dplyr-join.R:652:3',
    'test-dplyr-join.R:675:3', 'test-dplyr-nest-by.R:26:3',
    'test-dplyr-pick.R:40:3', 'test-dplyr-pick.R:77:3',
    'test-dplyr-pick.R:100:3', 'test-dplyr-pick.R:141:3',
    'test-dplyr-pick.R:166:3', 'test-dplyr-pick.R:199:3',
    'test-dplyr-pick.R:223:3', 'test-dplyr-pick.R:271:3',
    'test-dplyr-pick.R:377:3', 'test-dplyr-rank.R:58:3',
    'test-dplyr-rank.R:104:3', 'test-dplyr-reframe.R:33:3',
    'test-dplyr-reframe.R:51:3', 'test-dplyr-reframe.R:85:3',
    'test-dplyr-reframe.R:101:3', 'test-dplyr-reframe.R:123:3',
    'test-dplyr-reframe.R:136:3', 'test-dplyr-reframe.R:211:3',
    'test-dplyr-reframe.R:219:3', 'test-dplyr-reframe.R:231:3',
    'test-dplyr-reframe.R:241:3', 'test-dplyr-reframe.R:296:3',
    'test-dplyr-rename.R:16:3', 'test-dplyr-rename.R:38:3',
    'test-dplyr-rowwise.R:69:3', 'test-dplyr-sample.R:28:3',
    'test-dplyr-sample.R:46:3', 'test-dplyr-sample.R:100:3',
    'test-dplyr-select-helpers.R:13:3', 'test-dplyr-select.R:11:3',
    'test-dplyr-select.R:19:3', 'test-dplyr-select.R:35:3',
    'test-dplyr-select.R:94:3', 'test-dplyr-select.R:113:3',
    'test-dplyr-sets.R:45:3', 'test-dplyr-slice.R:15:3',
    'test-dplyr-slice.R:28:3', 'test-dplyr-slice.R:38:3',
    'test-dplyr-slice.R:55:3', 'test-dplyr-slice.R:86:3',
    'test-dplyr-slice.R:106:3', 'test-dplyr-slice.R:130:3',
    'test-dplyr-slice.R:142:3', 'test-dplyr-slice.R:209:3',
    'test-dplyr-slice.R:341:3', 'test-dplyr-slice.R:400:3',
    'test-dplyr-slice.R:594:3', 'test-dplyr-slice.R:620:3',
    'test-dplyr-slice.R:641:3', 'test-dplyr-summarise.R:52:3',
    'test-dplyr-summarise.R:68:3', 'test-dplyr-summarise.R:83:3',
    'test-dplyr-summarise.R:126:3', 'test-dplyr-summarise.R:200:3',
    'test-dplyr-summarise.R:219:3', 'test-dplyr-summarise.R:236:3',
    'test-dplyr-summarise.R:241:3', 'test-dplyr-summarise.R:251:3',
    'test-dplyr-summarise.R:265:3', 'test-dplyr-summarise.R:271:3',
    'test-dplyr-summarise.R:302:3', 'test-dplyr-summarise.R:314:3',
    'test-dplyr-summarise.R:354:3', 'test-dplyr-summarise.R:367:3',
    'test-dplyr-summarise.R:375:3', 'test-dplyr-summarise.R:435:3',
    'test-dplyr-transmute.R:9:3', 'test-dplyr-transmute.R:16:3',
    'test-dplyr-transmute.R:34:3', 'test-dplyr-transmute.R:56:3',
    'test-dplyr-transmute.R:89:3'
  • Must pass a plain data frame or a tibble, not a <myclass> object. (1):
    'test-dplyr-summarise.R:92:3'
  • Must pass a plain data frame or a tibble, not a <noisy> object. (1):
    'test-dplyr-slice.R:386:3'
  • Must pass a plain data frame or a tibble, not a <rowwise_df> object. (34):
    'test-dplyr-mutate.R:336:3', 'test-dplyr-mutate.R:367:3',
    'test-dplyr-mutate.R:373:3', 'test-dplyr-mutate.R:380:3',
    'test-dplyr-mutate.R:414:3', 'test-dplyr-mutate.R:472:3',
    'test-dplyr-mutate.R:596:3', 'test-dplyr-mutate.R:742:3',
    'test-dplyr-mutate.R:767:3', 'test-dplyr-mutate.R:784:3',
    'test-dplyr-filter.R:229:3', 'test-dplyr-filter.R:718:3',
    'test-dplyr-across.R:1163:3', 'test-dplyr-across.R:1289:3',
    'test-dplyr-group-by.R:267:3', 'test-dplyr-group-data.R:117:3',
    'test-dplyr-group-split.R:44:3', 'test-dplyr-group-split.R:111:3',
    'test-dplyr-join.R:499:3', 'test-dplyr-join.R:685:3',
    'test-dplyr-nest-by.R:13:3', 'test-dplyr-pick.R:65:3',
    'test-dplyr-pick.R:88:3', 'test-dplyr-pick.R:332:3',
    'test-dplyr-reframe.R:249:3', 'test-dplyr-reframe.R:259:3',
    'test-dplyr-reframe.R:268:3', 'test-dplyr-reframe.R:305:3',
    'test-dplyr-rowwise.R:11:3', 'test-dplyr-rowwise.R:46:3',
    'test-dplyr-rowwise.R:78:3', 'test-dplyr-slice.R:218:3',
    'test-dplyr-summarise.R:285:3', 'test-dplyr-summarise.R:444:3'
  • Must pass a plain data frame or a tibble, not a character vector. (1):
    'test-dplyr-group-nest.R:19:3'
  • Must pass a plain data frame or a tibble, not a number. (1):
    'test-dplyr-sets.R:143:3'
  • Must pass a plain data frame or a tibble, not an integer vector. (1):
    'test-dplyr-sets.R:53:3'
  • On CRAN (269): 'test-dplyr-mutate.R:200:1', 'test-dplyr-filter.R:424:1',
    'test-dplyr-filter.R:433:1', 'test-dplyr-filter.R:697:1',
    'test-dplyr-filter.R:723:1', 'test-dplyr-count-tally.R:51:1',
    'test-dplyr-count-tally.R:141:1', 'test-dplyr-count-tally.R:169:1',
    'test-dplyr-count-tally.R:193:1', 'test-dplyr-count-tally.R:225:1',
    'test-as_duckplyr_tibble.R:1:1', 'test-as_duckplyr_tibble.R:15:1',
    'test-compute.R:1:1', 'test-demo.R:1:1', 'test-dplyr-across.R:143:1',
    'test-dplyr-across.R:156:1', 'test-dplyr-across.R:227:1',
    'test-dplyr-across.R:621:1', 'test-dplyr-across.R:758:1',
    'test-dplyr-across.R:795:1', 'test-dplyr-across.R:1183:1',
    'test-dplyr-across.R:1321:1', 'test-dplyr-across.R:1333:1',
    'test-dplyr-all-equal.R:8:1', 'test-dplyr-all-equal.R:32:1',
    'test-dplyr-all-equal.R:41:1', 'test-dplyr-all-equal.R:50:1',
    'test-dplyr-all-equal.R:60:1', 'test-dplyr-all-equal.R:114:1',
    'test-dplyr-all-equal.R:143:1', 'test-dplyr-all-equal.R:155:1',
    'test-dplyr-all-equal.R:167:1', 'test-dplyr-all-equal.R:175:1',
    'test-dplyr-arrange.R:34:1', 'test-dplyr-arrange.R:175:1',
    'test-dplyr-arrange.R:181:1', 'test-dplyr-arrange.R:193:1',
    'test-dplyr-arrange.R:326:1', 'test-dplyr-bind-cols.R:46:1',
    'test-dplyr-bind-cols.R:122:1', 'test-dplyr-bind-cols.R:138:1',
    'test-dplyr-bind-rows.R:140:1', 'test-dplyr-bind-rows.R:155:1',
    'test-dplyr-bind-rows.R:248:1', 'test-dplyr-by.R:74:1',
    'test-dplyr-by.R:82:1', 'test-dplyr-by.R:91:1', 'test-dplyr-by.R:100:1',
    'test-dplyr-case-match.R:29:1', 'test-dplyr-case-match.R:44:1',
    'test-dplyr-case-match.R:56:1', 'test-dplyr-case-match.R:65:1',
    'test-dplyr-case-when.R:222:1', 'test-dplyr-case-when.R:231:1',
    'test-dplyr-case-when.R:243:1', 'test-dplyr-case-when.R:253:1',
    'test-dplyr-case-when.R:259:1', 'test-dplyr-case-when.R:268:1',
    'test-dplyr-case-when.R:277:1', 'test-dplyr-coalesce.R:32:1',
    'test-dplyr-coalesce.R:94:1', 'test-dplyr-coalesce.R:102:1',
    'test-dplyr-coalesce.R:118:1', 'test-dplyr-coalesce.R:124:1',
    'test-dplyr-conditions.R:45:1', 'test-dplyr-consecutive-id.R:17:1',
    'test-dplyr-consecutive-id.R:26:1', 'test-dplyr-context.R:63:1',
    'test-dplyr-desc.R:8:1', 'test-dplyr-distinct.R:185:1',
    'test-dplyr-funs.R:60:1', 'test-dplyr-funs.R:75:1',
    'test-dplyr-grouped-df.R:123:1', 'test-dplyr-grouped-df.R:193:1',
    'test-dplyr-if-else.R:53:1', 'test-dplyr-if-else.R:61:1',
    'test-dplyr-if-else.R:78:1', 'test-dplyr-if-else.R:84:1',
    'test-dplyr-if-else.R:99:1', 'test-dplyr-if-else.R:105:1',
    'test-dplyr-join-by.R:195:1', 'test-dplyr-join-by.R:239:1',
    'test-dplyr-join-by.R:246:1', 'test-dplyr-join-by.R:263:1',
    'test-dplyr-join-by.R:271:1', 'test-dplyr-join-by.R:358:1',
    'test-dplyr-join-by.R:373:1', 'test-dplyr-join-cols.R:90:1',
    'test-dplyr-join-cols.R:131:1', 'test-dplyr-join-cols.R:136:1',
    'test-dplyr-join-cols.R:196:1', 'test-dplyr-join-cross.R:57:1',
    'test-dplyr-join-rows.R:8:1', 'test-dplyr-join-rows.R:155:1',
    'test-dplyr-join-rows.R:170:1', 'test-dplyr-join-rows.R:178:1',
    'test-dplyr-join-rows.R:187:1', 'test-dplyr-join-rows.R:193:1',
    'test-dplyr-join-rows.R:212:1', 'test-dplyr-join-rows.R:276:1',
    'test-dplyr-join-rows.R:386:1', 'test-dplyr-join-rows.R:405:1',
    'test-dplyr-join-rows.R:422:3', 'test-dplyr-join-rows.R:451:1',
    'test-dplyr-join-rows.R:463:1', 'test-dplyr-join.R:152:1',
    'test-dplyr-join.R:340:1', 'test-dplyr-join.R:352:1',
    'test-dplyr-join.R:387:1', 'test-dplyr-join.R:393:1',
    'test-dplyr-join.R:449:1', 'test-dplyr-join.R:458:1',
    'test-dplyr-join.R:467:1', 'test-dplyr-join.R:516:1',
    'test-dplyr-join.R:552:1', 'test-dplyr-join.R:602:1',
    'test-dplyr-join.R:704:1', 'test-dplyr-join.R:716:1',
    'test-dplyr-join.R:727:1', 'test-dplyr-join.R:748:1',
    'test-dplyr-join.R:765:1', 'test-dplyr-lead-lag.R:26:1',
    'test-dplyr-lead-lag.R:59:1', 'test-dplyr-lead-lag.R:70:1',
    'test-dplyr-lead-lag.R:79:1', 'test-dplyr-n-distinct.R:46:1',
    'test-dplyr-na-if.R:67:1', 'test-dplyr-na-if.R:75:1',
    'test-dplyr-na-if.R:87:1', 'test-dplyr-nth-value.R:145:1',
    'test-dplyr-nth-value.R:154:1', 'test-dplyr-nth-value.R:160:1',
    'test-dplyr-nth-value.R:166:1', 'test-dplyr-nth-value.R:178:1',
    'test-dplyr-nth-value.R:184:1', 'test-dplyr-order-by.R:8:1',
    'test-dplyr-order-by.R:22:1', 'test-dplyr-order-by.R:50:1',
    'test-dplyr-pick.R:148:1', 'test-dplyr-pick.R:306:1',
    'test-dplyr-pick.R:336:1', 'test-dplyr-pick.R:346:1',
    'test-dplyr-pick.R:462:1', 'test-dplyr-pick.R:486:1',
    'test-dplyr-pick.R:497:1', 'test-dplyr-rank.R:107:1',
    'test-dplyr-relocate.R:34:1', 'test-dplyr-rename.R:77:1',
    'test-dplyr-rename.R:87:1', 'test-dplyr-rename.R:97:1',
    'test-dplyr-rows.R:20:1', 'test-dplyr-rows.R:71:1', 'test-dplyr-rows.R:80:1',
    'test-dplyr-rows.R:89:1', 'test-dplyr-rows.R:101:1',
    'test-dplyr-rows.R:125:1', 'test-dplyr-rows.R:141:1',
    'test-dplyr-rows.R:176:1', 'test-dplyr-rows.R:203:1',
    'test-dplyr-rows.R:218:1', 'test-dplyr-rows.R:233:1',
    'test-dplyr-rows.R:245:1', 'test-dplyr-rows.R:273:1',
    'test-dplyr-rows.R:300:1', 'test-dplyr-rows.R:315:1',
    'test-dplyr-rows.R:330:1', 'test-dplyr-rows.R:360:1',
    'test-dplyr-rows.R:375:1', 'test-dplyr-rows.R:390:1',
    'test-dplyr-rows.R:399:1', 'test-dplyr-rows.R:419:1',
    'test-dplyr-rows.R:436:1', 'test-dplyr-rows.R:473:1',
    'test-dplyr-rows.R:490:1', 'test-dplyr-rows.R:497:1',
    'test-dplyr-rows.R:503:1', 'test-dplyr-rows.R:513:1',
    'test-dplyr-rows.R:523:1', 'test-dplyr-rows.R:532:1',
    'test-dplyr-rowwise.R:62:1', 'test-dplyr-rowwise.R:94:1',
    'test-dplyr-sample.R:109:1', 'test-dplyr-select.R:164:1',
    'test-dplyr-sets.R:62:1', 'test-dplyr-sets.R:75:1', 'test-dplyr-sets.R:89:1',
    'test-dplyr-sets.R:129:1', 'test-dplyr-sets.R:146:1',
    'test-dplyr-slice.R:45:1', 'test-dplyr-slice.R:66:1',
    'test-dplyr-slice.R:76:1', 'test-dplyr-slice.R:112:1',
    'test-dplyr-slice.R:197:1', 'test-dplyr-slice.R:223:1',
    'test-dplyr-slice.R:233:1', 'test-dplyr-slice.R:246:1',
    'test-dplyr-slice.R:254:1', 'test-dplyr-slice.R:303:1',
    'test-dplyr-slice.R:344:1', 'test-dplyr-slice.R:409:1',
    'test-dplyr-slice.R:522:1', 'test-dplyr-slice.R:530:1',
    'test-dplyr-slice.R:563:1', 'test-dplyr-slice.R:576:1',
    'test-dplyr-summarise.R:423:1', 'test-dplyr-transmute.R:96:1',
    'test-duckplyr-across.R:1:1', 'test-duckplyr.R:10:1', 'test-ducktbl.R:30:1',
    'test-ducktbl.R:36:1', 'test-ducktbl.R:42:1', 'test-expr.R:2:3',
    'test-fallback.R:1:1', 'test-fallback.R:17:1', 'test-fallback.R:33:1',
    'test-fallback.R:49:1', 'test-fallback.R:62:1', 'test-fallback.R:81:1',
    'test-fallback.R:109:1', 'test-fallback.R:126:1', 'test-fallback.R:143:1',
    'test-fallback.R:160:1', 'test-fallback.R:174:1', 'test-fallback.R:186:1',
    'test-fallback.R:198:1', 'test-fallback.R:210:1', 'test-fallback.R:226:1',
    'test-fallback.R:242:1', 'test-fallback.R:290:1', 'test-handle_desc.R:19:1',
    'test-handle_desc.R:28:1', 'test-n_distinct.R:111:1',
    'test-n_distinct.R:125:1', 'test-n_distinct.R:138:1', 'test-overwrite.R:1:1',
    'test-relational-duckdb.R:1:1', 'test-relational-duckdb.R:60:1',
    'test-relational-duckdb.R:66:1', 'test-relational-duckdb.R:103:1',
    'test-relational-rel.R:1:1', 'test-relational.R:1:1', 'test-telemetry.R:3:1',
    'test-telemetry.R:40:1', 'test-telemetry.R:52:1', 'test-telemetry.R:64:1',
    'test-telemetry.R:76:1', 'test-telemetry.R:93:1', 'test-telemetry.R:114:1',
    'test-telemetry.R:136:1', 'test-telemetry.R:143:1', 'test-telemetry.R:165:1',
    'test-telemetry.R:177:1', 'test-telemetry.R:194:1', 'test-telemetry.R:201:1',
    'test-telemetry.R:223:1', 'test-telemetry.R:230:1', 'test-telemetry.R:247:1',
    'test-telemetry.R:254:1', 'test-telemetry.R:271:1', 'test-telemetry.R:278:1',
    'test-telemetry.R:285:1', 'test-telemetry.R:292:1', 'test-translate.R:9:1',
    'test-translate.R:15:1', 'test-translate.R:21:1', 'test-translate.R:40:1',
    'test-translate.R:132:1', 'test-translate.R:162:1', 'test-translate.R:199:1'
  • Random seed (2): 'test-as_duckplyr_df.R:2136:3',
    'test-as_duckplyr_df.R:2152:3'
  • Special (5): 'test-as_duckplyr_df.R:683:3', 'test-as_duckplyr_df.R:699:3',
    'test-as_duckplyr_df.R:759:3', 'test-as_duckplyr_df.R:834:3',
    'test-as_duckplyr_df.R:1653:3'
  • Stack overflow (1): 'test-as_duckplyr_df.R:2120:3'
  • TODO duckdb (17): 'test-dplyr-mutate.R:438:3', 'test-dplyr-mutate.R:558:3',
    'test-dplyr-across.R:911:3', 'test-dplyr-across.R:937:3',
    'test-dplyr-all-equal.R:187:3', 'test-dplyr-copy-to.R:9:3',
    'test-dplyr-funs.R:85:3', 'test-dplyr-funs.R:103:3',
    'test-dplyr-generics.R:167:3', 'test-dplyr-group-by.R:570:3',
    'test-dplyr-group-nest.R:53:3', 'test-dplyr-join-rows.R:200:3',
    'test-dplyr-join.R:363:3', 'test-dplyr-join.R:369:3',
    'test-dplyr-summarise.R:37:3', 'test-dplyr-summarise.R:337:3',
    'test-dplyr-summarise.R:478:3'
  • WAT (3): 'test-as_duckplyr_df.R:713:3', 'test-as_duckplyr_df.R:773:3',
    'test-as_duckplyr_df.R:1667:3'
  • Won't need (1): 'test-prom.R:2:3'
  • argument ".data" is missing, with no default (1):
    'test-dplyr-group-data.R:71:3'
  • dplyr:::compute_groups() is only needed to test dplyr internals (4):
    'test-dplyr-group-by.R:579:3', 'test-dplyr-grouped-df.R:202:3',
    'test-dplyr-grouped-df.R:208:3', 'test-dplyr-grouped-df.R:219:3'
  • dplyr:::err_locs() is only needed to test dplyr internals (1):
    'test-dplyr-conditions.R:34:3'
  • dplyr:::expand_pick() is only needed to test dplyr internals (2):
    'test-dplyr-pick.R:552:3', 'test-dplyr-pick.R:569:3'
  • dplyr:::group_labels_details() is only needed to test dplyr internals (1):
    'test-dplyr-context.R:76:3'
  • dplyr:::reset_dplyr_warnings() is only needed to test dplyr internals (4):
    'test-dplyr-conditions.R:68:3', 'test-dplyr-conditions.R:135:3',
    'test-dplyr-conditions.R:164:3', 'test-dplyr-conditions.R:188:3'
  • dplyr:::shift() is only needed to test dplyr internals (9):
    'test-dplyr-lead-lag.R:94:3', 'test-dplyr-lead-lag.R:104:3',
    'test-dplyr-lead-lag.R:113:3', 'test-dplyr-lead-lag.R:125:3',
    'test-dplyr-lead-lag.R:140:3', 'test-dplyr-lead-lag.R:151:3',
    'test-dplyr-lead-lag.R:159:3', 'test-dplyr-lead-lag.R:168:3',
    'test-dplyr-lead-lag.R:174:3'
  • i In argument: `.result = (1 + "") * am`. (1): 'test-dplyr-conditions.R:25:5'
  • i In argument: `n = base::sum(...)`. (1): 'test-dplyr-count-tally.R:127:3'
  • {RSQLite} is not installed (2): 'test-dplyr-count-tally.R:93:3',
    'test-dplyr-count-tally.R:105:3'
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Error ('test-tpch.R:110:3'): TPCH queries can be parsed and run ─────────────
  Error in `quo_is_null(wt)`: `quo` must be a quosure
  Backtrace:
       ▆
    1. ├─duckplyr:::tpch_21()
    2. │ └─... %>% filter(n_supplier > 1)
    3. ├─dplyr::filter(., n_supplier > 1)
    4. ├─dplyr::summarise(., n_supplier = n(), .by = l_orderkey)
    5. ├─dplyr::count(., l_orderkey, l_suppkey)
    6. ├─duckplyr:::count.duckplyr_df(., l_orderkey, l_suppkey)
    7. │ ├─duckplyr:::rel_try(...)
    8. │ │ └─base::force(rel)
    9. │ └─dplyr:::tally_n(...)
   10. │   └─rlang::quo_is_null(wt)
   11. └─rlang::abort(message = message)
  ── Failure ('test-tpch.R:247:3'): TPCH queries can be parsed and run with overwriting ──
  Expected `{ ... }` not to throw any errors.
  Actually got a <rlang_error> with message:
    `quo` must be a quosure
  Backtrace:
       ▆
    1. ├─testthat::expect_error(...) at test-tpch.R:247:3
    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. ├─duckplyr:::tpch_21() at test-tpch.R:268:5
    8. │ └─... %>% filter(n_supplier > 1)
    9. ├─dplyr::filter(., n_supplier > 1)
   10. ├─dplyr::summarise(., n_supplier = n(), .by = l_orderkey)
   11. ├─dplyr::count(., l_orderkey, l_suppkey)
   12. ├─duckplyr (local) count.data.frame(., l_orderkey, l_suppkey)
   13. │ ├─duckplyr:::rel_try(...)
   14. │ │ └─base::force(rel)
   15. │ └─dplyr:::tally_n(...)
   16. │   └─rlang::quo_is_null(wt)
   17. └─rlang::abort(message = message)
  ── Error ('test-as_duckplyr_df.R:268:3'): as_duckplyr_df_impl() and count() ────
  Error in `quo_is_null(wt)`: `quo` must be a quosure
  Backtrace:
      ▆
   1. ├─test_df %>% as_duckplyr_df_impl() %>% count() at test-as_duckplyr_df.R:268:3
   2. ├─dplyr::count(.)
   3. ├─duckplyr:::count.duckplyr_df(.)
   4. │ ├─duckplyr:::rel_try(...)
   5. │ │ └─base::force(rel)
   6. │ └─dplyr:::tally_n(...)
   7. │   └─rlang::quo_is_null(wt)
   8. └─rlang::abort(message = message)
  ── Error ('test-as_duckplyr_df.R:281:3'): as_duckplyr_df_impl() and count(a) ───
  Error in `quo_is_null(wt)`: `quo` must be a quosure
  Backtrace:
      ▆
   1. ├─test_df %>% as_duckplyr_df_impl() %>% count(a) at test-as_duckplyr_df.R:281:3
   2. ├─dplyr::count(., a)
   3. ├─duckplyr:::count.duckplyr_df(., a)
   4. │ ├─duckplyr:::rel_try(...)
   5. │ │ └─base::force(rel)
   6. │ └─dplyr:::tally_n(...)
   7. │   └─rlang::quo_is_null(wt)
   8. └─rlang::abort(message = message)
  ── Error ('test-as_duckplyr_df.R:294:3'): as_duckplyr_df_impl() and count(b) ───
  Error in `quo_is_null(wt)`: `quo` must be a quosure
  Backtrace:
      ▆
   1. ├─test_df %>% as_duckplyr_df_impl() %>% count(b) at test-as_duckplyr_df.R:294:3
   2. ├─dplyr::count(., b)
   3. ├─duckplyr:::count.duckplyr_df(., b)
   4. │ ├─duckplyr:::rel_try(...)
   5. │ │ └─base::force(rel)
   6. │ └─dplyr:::tally_n(...)
   7. │   └─rlang::quo_is_null(wt)
   8. └─rlang::abort(message = message)
  ── Error ('test-as_duckplyr_df.R:307:3'): as_duckplyr_df_impl() and count(g) ───
  Error in `quo_is_null(wt)`: `quo` must be a quosure
  Backtrace:
      ▆
   1. ├─test_df %>% as_duckplyr_df_impl() %>% count(g) at test-as_duckplyr_df.R:307:3
   2. ├─dplyr::count(., g)
   3. ├─duckplyr:::count.duckplyr_df(., g)
   4. │ ├─duckplyr:::rel_try(...)
   5. │ │ └─base::force(rel)
   6. │ └─dplyr:::tally_n(...)
   7. │   └─rlang::quo_is_null(wt)
   8. └─rlang::abort(message = message)
  ── Error ('test-as_duckplyr_df.R:320:3'): as_duckplyr_df_impl() and count(g, a) ──
  Error in `quo_is_null(wt)`: `quo` must be a quosure
  Backtrace:
      ▆
   1. ├─test_df %>% as_duckplyr_df_impl() %>% count(g, a) at test-as_duckplyr_df.R:320:3
   2. ├─dplyr::count(., g, a)
   3. ├─duckplyr:::count.duckplyr_df(., g, a)
   4. │ ├─duckplyr:::rel_try(...)
   5. │ │ └─base::force(rel)
   6. │ └─dplyr:::tally_n(...)
   7. │   └─rlang::quo_is_null(wt)
   8. └─rlang::abort(message = message)
  ── Error ('test-as_duckplyr_df.R:333:3'): as_duckplyr_df_impl() and count(b, g) ──
  Error in `quo_is_null(wt)`: `quo` must be a quosure
  Backtrace:
      ▆
   1. ├─test_df %>% as_duckplyr_df_impl() %>% count(b, g) at test-as_duckplyr_df.R:333:3
   2. ├─dplyr::count(., b, g)
   3. ├─duckplyr:::count.duckplyr_df(., b, g)
   4. │ ├─duckplyr:::rel_try(...)
   5. │ │ └─base::force(rel)
   6. │ └─dplyr:::tally_n(...)
   7. │   └─rlang::quo_is_null(wt)
   8. └─rlang::abort(message = message)
  ── Error ('test-dplyr-count-tally.R:190:3'): .drop is deprecated ───────────────
  <lifecycle_error_deprecated/defunctError/rlang_error/error/condition>
  Error: The `.drop` argument of `add_count()` was deprecated in dplyr 1.0.0 and is now defunct.
  Backtrace:
       ▆
    1. ├─testthat::expect_warning(...) at test-dplyr-count-tally.R:190:3
    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. └─duckplyr:::duckplyr_add_count(df, f, .drop = FALSE)
    8.   ├─dplyr::add_count(x, ...)
    9.   └─duckplyr:::add_count.duckplyr_df(x, ...)
   10.     └─dplyr::add_count(...)
   11.       └─dplyr:::add_count_impl(...)
   12.         └─lifecycle::deprecate_stop("1.0.0", "add_count(.drop = )", env = error_call)
   13.           └─lifecycle:::deprecate_stop0(msg)
   14.             └─rlang::cnd_signal(...)
  ── Error ('test-dplyr-across.R:571:3'): if_any() and if_all() do not enforce logical ──
  Error in `filter(.data, ..., .by = {     {         .by     } }, .preserve = .preserve)`: i In argument: `if_all(x:y, identity)`.
  Caused by error in `if_all()`:
  ! `x` must be a logical vector, not the number 10.
  ── Failure ('test-dplyr-across.R:968:3'): if_any() and if_all() wrapped deal with no inputs or single inputs ──
  Expected `duckplyr_filter(d, (if_any(starts_with("c"), ~FALSE)))` to equal `duckplyr_filter(d)`.
  Differences:
    `attr(actual, 'row.names')`:  
  `attr(expected, 'row.names')`: 1
  
    `actual$x`:  
  `expected$x`: 1
  
  ── Failure ('test-dplyr-across.R:1150:3'): expand_if_across() expands lambdas ──
  Expected `map(expand_if_across(quo), quo_squash)` to equal `alist(cyl > 4 | am > 4)`.
  Differences:
  `actual` is length 2
  `expected` is length 1
  
  `actual[[1]]` is a symbol
  `expected[[1]]` is a call
  
  `actual[[2]]` is a call
  `expected[[2]]` is absent
  
  ── Failure ('test-dplyr-generics.R:150:3'): `dplyr_reconstruct()` retains attribute ordering of `template` ──
  Expected `attributes(dplyr_reconstruct(df, df))` to be identical to `attributes(df)`.
  Differences:
  `names(actual)`:   "names" "row.names" "class"    
  `names(expected)`: "names" "class"     "row.names"
  
  ── Error ('test-dplyr-group-by.R:103:3'): .dots is soft deprecated ─────────────
  <lifecycle_error_deprecated/defunctError/rlang_error/error/condition>
  Error: The `.dots` argument of `group_by()` was deprecated in dplyr 1.0.0 and is now defunct.
  Backtrace:
       ▆
    1. ├─testthat::expect_warning(...) at test-dplyr-group-by.R:103:3
    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. └─duckplyr:::duckplyr_group_by(df, .dots = "x")
    8.   ├─dplyr::group_by(.data, ...)
    9.   └─duckplyr:::group_by.duckplyr_df(.data, ...)
   10.     └─dplyr::group_by(.data, ..., .add = .add, .drop = .drop)
   11.       └─dplyr::group_by_prepare(.data, ..., .add = .add, error_call = current_env())
   12.         └─lifecycle::deprecate_stop("1.0.0", "group_by(.dots = )")
   13.           └─lifecycle:::deprecate_stop0(msg)
   14.             └─rlang::cnd_signal(...)
  ── Error ('test-dplyr-group-data.R:63:3'): duckplyr_group_keys(...) is deprecated ──
  <lifecycle_error_deprecated/defunctError/rlang_error/error/condition>
  Error: The `...` argument of `group_keys()` was deprecated in dplyr 1.0.0 and is now defunct.
  i Please `group_by()` first
  Backtrace:
       ▆
    1. ├─testthat::expect_warning(...) at test-dplyr-group-data.R:63:3
    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. ├─df %>% duckplyr_group_keys(x)
    8. └─duckplyr:::duckplyr_group_keys(., x)
    9.   ├─dplyr::group_keys(.tbl, ...)
   10.   └─duckplyr:::group_keys.duckplyr_df(.tbl, ...)
   11.     └─dplyr::group_keys(.tbl, ...)
   12.       └─lifecycle::deprecate_stop("1.0.0", "group_keys(... = )", details = "Please `group_by()` first")
   13.         └─lifecycle:::deprecate_stop0(msg)
   14.           └─rlang::cnd_signal(...)
  ── Error ('test-dplyr-group-data.R:86:3'): duckplyr_group_indices(...) still works though ──
  <lifecycle_error_deprecated/defunctError/rlang_error/error/condition>
  Error: The `...` argument of `group_indices()` was deprecated in dplyr 1.0.0 and is now defunct.
  i Please `group_by()` first
  Backtrace:
      ▆
   1. ├─df %>% duckplyr_group_indices(x) at test-dplyr-group-data.R:86:3
   2. └─duckplyr:::duckplyr_group_indices(., x)
   3.   ├─dplyr::group_indices(.data, ...)
   4.   └─duckplyr:::group_indices.duckplyr_df(.data, ...)
   5.     └─dplyr::group_indices(.data, ...)
   6.       └─lifecycle::deprecate_stop("1.0.0", "group_indices(... = )", details = "Please `group_by()` first")
   7.         └─lifecycle:::deprecate_stop0(msg)
   8.           └─rlang::cnd_signal(...)
  ── Failure ('test-dplyr-if-else.R:117:3'): `size` overrides the `condition` size ──
  Expected `{ ... }` to throw a error.
  Backtrace:
      ▆
   1. └─testthat::expect_snapshot(...) at test-dplyr-if-else.R:117:3
   2.   └─testthat:::expect_snapshot_(...)
  ── Error ('test-dplyr-join-rows.R:440:3'): `multiple = NULL` is deprecated and results in `'all'` (#6731) ──
  Error in `vctrs::vec_locate_matches(needles = needles, haystack = haystack, condition = condition, filter = filter, incomplete = incomplete, no_match = no_match, remaining = remaining, multiple = multiple, relationship = relationship, needles_arg = needles_arg, haystack_arg = haystack_arg, nan_distinct = TRUE)`: `multiple` must be a string.
  Backtrace:
      ▆
   1. ├─dplyr:::join_rows(df1, df2, multiple = NULL)
   2. │ └─dplyr:::dplyr_locate_matches(...)
   3. │   ├─base::withCallingHandlers(...)
   4. │   └─vctrs::vec_locate_matches(...)
   5. └─rlang::abort(message = message, call = call)
  ── Error ('test-dplyr-select-helpers.R:20:3'): group_cols(vars) is deprecated ──
  <lifecycle_error_deprecated/defunctError/rlang_error/error/condition>
  Error: The `vars` argument of `group_cols()` was deprecated in dplyr 1.0.0 and is now defunct.
  i Use `data` with entire dataframe instead
  Backtrace:
       ▆
    1. ├─testthat::expect_warning(out <- group_cols("a"), "deprecated") at test-dplyr-select-helpers.R:20:3
    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. └─dplyr::group_cols("a")
    8.   └─dplyr:::group_cols_legacy(vars)
    9.     └─lifecycle::deprecate_stop("1.0.0", "group_cols(vars = )", details = "Use `data` with entire dataframe instead")
   10.       └─lifecycle:::deprecate_stop0(msg)
   11.         └─rlang::cnd_signal(...)
  ── Error ('test-dplyr-summarise.R:20:3'): inputs are recycled (deprecated in 1.1.0) ──
  Error in `summarise(.data, ..., .by = {     {         .by     } }, .groups = .groups)`: i In argument: `y = 1:3`.
  Caused by error:
  ! `y` must be size 1, not 3.
  i To return more or less than 1 row per group, use `reframe()`.
  Backtrace:
       ▆
    1. ├─testthat::expect_equal(...) at test-dplyr-summarise.R:20:3
    2. │ └─testthat::quasi_label(enquo(object), label)
    3. │   └─rlang::eval_bare(expr, quo_get_env(quo))
    4. ├─tibble() %>% duckplyr_summarise(x = 1, y = 1:3, z = 1)
    5. ├─duckplyr:::duckplyr_summarise(., x = 1, y = 1:3, z = 1)
    6. │ ├─dplyr::summarise(.data, ...)
    7. │ └─duckplyr:::summarise.duckplyr_df(.data, ...)
    8. │   └─dplyr::summarise(...)
    9. │     └─dplyr:::summarise_cols(.data, dplyr_quosures(...), by, "summarise")
   10. │       └─base::withCallingHandlers(...)
   11. ├─dplyr:::dplyr_internal_error(...)
   12. │ └─rlang::abort(class = c(class, "dplyr:::internal_error"), dplyr_error_data = data)
   13. │   └─rlang:::signal_abort(cnd, .file)
   14. │     └─base::signalCondition(cnd)
   15. └─dplyr (local) `<fn>`(`<dpl:::__>`)
   16.   └─dplyr (local) handler(cnd)
   17.     └─rlang::abort(message, class = error_class, parent = parent, call = error_call)
  ── Error ('test-dplyr-summarise.R:152:3'): named data frame results with 0 columns participate in recycling (#6509) ──
  Error in `summarise(.data, ..., .by = {     {         .by     } }, .groups = .groups)`: i In argument: `empty = empty`.
  Caused by error:
  ! `empty` must be size 1, not 0.
  i To return more or less than 1 row per group, use `reframe()`.
  Backtrace:
       ▆
    1. ├─testthat::expect_identical(...) at test-dplyr-summarise.R:152:3
    2. │ └─testthat::quasi_label(enquo(object), label)
    3. │   └─rlang::eval_bare(expr, quo_get_env(quo))
    4. ├─duckplyr:::duckplyr_summarise(df, empty = empty)
    5. │ ├─dplyr::summarise(.data, ...)
    6. │ └─duckplyr:::summarise.duckplyr_df(.data, ...)
    7. │   └─dplyr::summarise(...)
    8. │     └─dplyr:::summarise_cols(.data, dplyr_quosures(...), by, "summarise")
    9. │       └─base::withCallingHandlers(...)
   10. ├─dplyr:::dplyr_internal_error(...)
   11. │ └─rlang::abort(class = c(class, "dplyr:::internal_error"), dplyr_error_data = data)
   12. │   └─rlang:::signal_abort(cnd, .file)
   13. │     └─base::signalCondition(cnd)
   14. └─dplyr (local) `<fn>`(`<dpl:::__>`)
   15.   └─dplyr (local) handler(cnd)
   16.     └─rlang::abort(message, class = error_class, parent = parent, call = error_call)
  ── Error ('test-dplyr-summarise.R:569:3'): non-summary results are deprecated in favor of `duckplyr_reframe()` (#6382) ──
  Error in `summarise(.data, ..., .by = {     {         .by     } }, .groups = .groups)`: i In argument: `x = which(x < 3)`.
  Caused by error:
  ! `x` must be size 1, not 2.
  i To return more or less than 1 row per group, use `reframe()`.
  Backtrace:
       ▆
    1. ├─duckplyr:::duckplyr_summarise(df, x = which(x < 3))
    2. │ ├─dplyr::summarise(.data, ...)
    3. │ └─duckplyr:::summarise.duckplyr_df(.data, ...)
    4. │   └─dplyr::summarise(...)
    5. │     └─dplyr:::summarise_cols(.data, dplyr_quosures(...), by, "summarise")
    6. │       └─base::withCallingHandlers(...)
    7. ├─dplyr:::dplyr_internal_error(...)
    8. │ └─rlang::abort(class = c(class, "dplyr:::internal_error"), dplyr_error_data = data)
    9. │   └─rlang:::signal_abort(cnd, .file)
   10. │     └─base::signalCondition(cnd)
   11. └─dplyr (local) `<fn>`(`<dpl:::__>`)
   12.   └─dplyr (local) handler(cnd)
   13.     └─rlang::abort(message, class = error_class, parent = parent, call = error_call)
  ── Error ('test-prudence.R:43:3'): prudence after operation with failure ───────
  Error in `count(., x)`: This operation cannot be carried out by DuckDB, and the input is a stingy duckplyr frame.
  i Use `compute(prudence = "lavish")` to materialize to temporary storage and continue with duckplyr.
  i See `vignette("prudence")` for other options.
  Caused by error in `quo_is_null()`:
  ! `quo` must be a quosure
  ── Error ('test-prudence.R:52:3'): prudence after operation with success ───────
  Error in `count(.)`: This operation cannot be carried out by DuckDB, and the input is a stingy duckplyr frame.
  i Use `compute(prudence = "lavish")` to materialize to temporary storage and continue with duckplyr.
  i See `vignette("prudence")` for other options.
  Caused by error in `quo_is_null()`:
  ! `quo` must be a quosure
  
  [ FAIL 24 | WARN 46 | SKIP 592 | PASS 2317 ]
  Error:
  ! Test failures.
  
  🛠: 2235
  🔨: 1205
  🦆: 1030
  add_count, anti_join, arrange, arrange.data.frame, compute, count, count.data.frame, cross_join, distinct, distinct.data.frame, do, eval, filter, filter.data.frame, full_join, group_by, group_indices, group_keys, group_map, group_modify, group_nest, group_size, group_split, group_trim, head, inner_join, inner_join.data.frame, intersect, left_join, left_join.data.frame, mutate, mutate.data.frame, n_groups, nest_by, nest_join, pull, reframe, relocate, rename, rename_with, right_join, rows_append, rows_delete, rows_insert, rows_patch, rows_update, rows_upsert, rowwise, select, select.data.frame, semi_join, semi_join.data.frame, setdiff, setequal, slice, slice_head, slice_head.data.frame, slice_sample, slice_tail, summarise, summarise.data.frame, symdiff, transmute, ungroup, union_all
  
  00:02:44.439422
  Execution halted