R Under development (unstable) (2024-02-07 r85873 ucrt) -- "Unsuffered Consequences"
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> # or more contributor license agreements.  See the NOTICE file
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> 
> library(testthat)
> library(arrow)

Attaching package: 'arrow'

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

    matches

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

    timestamp

> library(tibble)
> 
> verbose_test_output <- identical(tolower(Sys.getenv("ARROW_R_DEV", "false")), "true") ||
+   identical(tolower(Sys.getenv("ARROW_R_VERBOSE_TEST", "false")), "true")
> 
> if (verbose_test_output) {
+   arrow_reporter <- MultiReporter$new(list(CheckReporter$new(), LocationReporter$new()))
+ } else {
+   arrow_reporter <- check_reporter()
+ }
> test_check("arrow", reporter = arrow_reporter)
[ FAIL 0 | WARN 0 | SKIP 81 | PASS 6445 ]

══ Skipped tests (81) ══════════════════════════════════════════════════════════
• ARROW-14045 (1): 'test-dplyr-distinct.R:118:3'
• ARROW-17043 (date/datetime arithmetic with integers) (1):
  'test-compute-arith.R:132:3'
• ARROW-18101 (1): 'test-udf.R:302:3'
• Arrow C++ not built with substrait (1): 'test-query-engine.R:96:3'
• Flight server is not running (1): 'test-python-flight.R:84:5'
• GH-33708: timestamp_parsers don't appear to be working properly (1):
  'test-dataset-csv.R:585:3'
• Implement more aggressive implicit casting for scalars (ARROW-11402) (1):
  'test-dataset-dplyr.R:96:3'
• Ingest_POSIXct only implemented for REALSXP (1): 'test-Array.R:297:5'
• Need halffloat support: https://issues.apache.org/jira/browse/ARROW-3802 (1):
  'test-Array.R:420:3'
• On CRAN (59): 'test-Array.R:209:3', 'test-Array.R:216:3',
  'test-Array.R:1118:3', 'test-Array.R:1183:3', 'test-Array.R:1221:3',
  'test-Array.R:1253:3', 'test-Array.R:1305:3', 'test-RecordBatch.R:516:3',
  'test-RecordBatch.R:525:3', 'test-Table.R:507:3',
  'test-chunked-array.R:120:3', 'test-csv.R:729:3',
  'test-dataset-write.R:591:3', 'test-dataset.R:860:3',
  'test-dplyr-filter.R:291:3', 'test-dplyr-funcs-conditional.R:23:1',
  'test-dplyr-funcs-datetime.R:26:1', 'test-dplyr-funcs-math.R:22:1',
  'test-dplyr-funcs-string.R:21:1', 'test-dplyr-funcs-type.R:24:1',
  'test-dplyr-funcs.R:19:1', 'test-dplyr-glimpse.R:27:3',
  'test-dplyr-glimpse.R:33:3', 'test-dplyr-glimpse.R:39:3',
  'test-dplyr-glimpse.R:45:3', 'test-dplyr-glimpse.R:51:3',
  'test-dplyr-glimpse.R:75:3', 'test-dplyr-glimpse.R:93:3',
  'test-dplyr-glimpse.R:101:3', 'test-dplyr-join.R:125:3',
  'test-dplyr-mutate.R:520:3', 'test-dplyr-query.R:625:3',
  'test-dplyr-slice.R:107:3', 'test-dplyr-summarize.R:307:3',
  'test-duckdb.R:19:1', 'test-extension.R:43:3', 'test-extension.R:214:3',
  'test-feather.R:143:3', 'test-feather.R:262:3', 'test-feather.R:332:3',
  'test-filesystem.R:138:3', 'test-filesystem.R:146:3',
  'test-filesystem.R:155:3', 'test-filesystem.R:167:3',
  'test-filesystem.R:178:3', 'test-filesystem.R:193:3', 'test-gcs.R:118:1',
  'test-io.R:71:3', 'test-ipc-stream.R:44:3', 'test-ipc-stream.R:48:3',
  'test-parquet.R:116:3', 'test-parquet.R:485:3', 'test-python.R:19:3',
  'test-safe-call-into-r.R:21:3', 'test-safe-call-into-r.R:36:3',
  'test-safe-call-into-r.R:51:3', 'test-type.R:61:3', 'test-udf.R:62:3',
  'test-util.R:37:3'
• On Windows (4): 'test-dataset-uri.R:18:1', 'test-dataset-write.R:179:3',
  'test-python.R:38:1', 'test-read-record-batch.R:44:3'
• Parquet test data missing (1): 'test-parquet.R:473:3'
• TODO (ARROW-16630): make sure BottomK can handle NA ordering (1):
  'test-dplyr-collapse.R:205:3'
• TODO: (if anyone uses RangeEquals) (1): 'test-Array.R:139:3'
• TODO: ARROW-14071 (1): 'test-dplyr-filter.R:280:3'
• Table with 0 cols doesn't know how many rows it should have (1):
  'test-Table.R:114:3'
• Work around masking of data type functions (ARROW-12322) (1):
  'test-type.R:116:3'
• environment variable ARROW_LARGE_MEMORY_TESTS (1): 'test-Table.R:673:3'
• https://issues.apache.org/jira/browse/ARROW-7653 (1): 'test-dataset.R:512:3'
• minio is not installed. (1): 'test-s3-minio.R:19:1'

[ FAIL 0 | WARN 0 | SKIP 81 | PASS 6445 ]
> 
> proc.time()
   user  system elapsed 
  75.40    6.46   81.43