djvdj
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trim tests
Ideally the test suite would finish in less than a minute. Right now it's > 5 minutes:
==> devtools::test()
ℹ Testing djvdj
✔ | F W S OK | Context
✔ | 122 | calc-diversity [6.0s]
✔ | 36 | calc-frequency [0.8s]
✔ | 430 | calc-gene-usage [7.3s]
✖ | 3 365 | calc-similarity [25.6s]
────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
Failure (test-calc-similarity.R:91): sim calc chord
`res` (`actual`) not identical to `test_res` (`expected`).
`actual$x1`: 0.5397079622967205 0.0000000000000000
`expected$x1`: 0.5397079622967201 0.0000000000000000
Failure (test-calc-similarity.R:91): sim calc geodesic_metric
`res` (`actual`) not identical to `test_res` (`expected`).
`actual$x1`: 0.5464827671313257 0.0000000000000000
`expected$x1`: 0.5464827671313253 0.0000000000000000
Failure (test-calc-similarity.R:91): sim calc hellinger
`res` (`actual`) not identical to `test_res` (`expected`).
`actual$x1`: 1.1330865483097790 0.0000000000000000
`expected$x1`: 1.1330865483097783 0.0000000000000000
────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
✔ | 224 | cluster-seqs [124.6s]
✔ | 20 | filter-vdj [0.8s]
✖ | 1 0 | import-vdj
────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
Error (test-import-vdj.R:28): (code run outside of `test_that()`)
Error in `eval(code, test_env)`: object 'tiny_so' not found
────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
✔ | 54 | mutate-vdj [1.3s]
✔ | 4512 | plots [189.4s]
✔ | 51 | utils [2.3s]
══ Results ═════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════
Duration: 358.1 s
[ FAIL 4 | WARN 0 | SKIP 0 | PASS 5814 ]
Agreed, testing for the plotting functions is not ideal right now. For a lot of functions, all combinations of arguments get checked and if the function returns a ggplot2 object with no error messages, the test passes. Would be good to use vdiffr.