R Under development (unstable) (2025-09-11 r88813 ucrt) -- "Unsuffered Consequences"
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> # 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/testing-design.html#sec-tests-files-overview
> # * https://testthat.r-lib.org/articles/special-files.html
> 
> library(testthat)
> library(bloomjoin)
> 
> test_check("bloomjoin")

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

Joining with `by = join_by(id, common)`
Joining with `by = join_by(id)`
Small dataset detected - using standard join for better performance
Creating Bloom filter: 200 unique keys in y, filter size: 200, FPR: 0.0010
Bloom filter reduced dataset from 10000 to 383 rows (96.2% reduction)
Bloom join completed in 0.006 seconds
Creating Bloom filter: 200 unique keys in y, filter size: 200, FPR: 0.0100
Bloom filter reduced dataset from 10000 to 569 rows (94.3% reduction)
Bloom join completed in 0.005 seconds
Creating Bloom filter: 200 unique keys in y, filter size: 200, FPR: 0.1000
Bloom filter reduced dataset from 10000 to 1442 rows (85.6% reduction)
Bloom join completed in 0.005 seconds
False positive rate analysis:
    fpr         time reduction
1 0.001 5.960464e-06    0.9617
2 0.010 3.099442e-06    0.9431
3 0.100 3.099442e-06    0.8558
Creating Bloom filter: 272 unique keys in y, filter size: 272, FPR: 0.0100
Bloom filter reduced dataset from 5000 to 694 rows (86.1% reduction)
Bloom join completed in 0.043 seconds
Multi-column join performance:
- Bloom time: 0.0000s 
- Standard time: 0.0000s 
- Reduction ratio: 86.1% 
- Result rows: 756 
Creating Bloom filter: 200 unique keys in y, filter size: 200, FPR: 0.0100
Bloom filter reduced dataset from 5000 to 1061 rows (78.8% reduction)
Bloom join completed in 0.003 seconds
Creating Bloom filter: 200 unique keys in y, filter size: 200, FPR: 0.0100
Bloom filter reduced dataset from 5000 to 1061 rows (78.8% reduction)
Bloom join completed in 0.003 seconds
Join type performance comparison:
   type   bloom_time     std_time rows_returned bloom_used
1 inner 3.099442e-06 4.053116e-06           993       TRUE
2  semi 3.099442e-06 2.861023e-06           993       TRUE
Regression test results:
- Average Bloom time: 0.0080s (±0.0002s) 
- Average Standard time: 0.0023s (±0.0000s) 
- Ratio: 3.50x 
[ FAIL 0 | WARN 11 | SKIP 4 | PASS 105 ]

══ Skipped tests (4) ═══════════════════════════════════════════════════════════
• On CRAN (4): 'test-edge-cases.R:151:3', 'test-memory-performance.R:40:3',
  'test-memory-performance.R:74:3', 'test-memory-performance.R:266:3'

[ FAIL 0 | WARN 11 | SKIP 4 | PASS 105 ]
> 
> proc.time()
   user  system elapsed 
   2.34    0.18    2.51