ANSI function benchmarks
Gábor Csárdi
2023-01-09
Source:vignettes/ansi-benchmark.Rmd
ansi-benchmark.Rmd$output function (x, options) { hook.t(x, options[[paste0(“attr.”, class)]], options[[paste0(“class.”, class)]]) } <bytecode: 0x5641593d3ea0> <environment: 0x564155d78c78>
Introduction
Often we can use the corresponding base R function as a baseline. We also compare to the fansi package, where it is possible.
Data
In cli the typical use case is short string scalars, but we run some benchmarks longer strings and string vectors as well.
ansi <- format_inline(
"{col_green(symbol$tick)} {.code print(x)} {.emph emphasised}"
)
plain <- ansi_strip(ansi)ANSI functions
ansi_align()
bench::mark(
ansi = ansi_align(ansi, width = 20),
plain = ansi_align(plain, width = 20),
base = format(plain, width = 20),
check = FALSE
)#> # A tibble: 3 × 6
#> expression min median `itr/sec` mem_alloc `gc/sec`
#> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt> <dbl>
#> 1 ansi 59.3µs 64.4µs 15025. 97.7KB 17.2
#> 2 plain 59.2µs 63.9µs 15478. 0B 17.9
#> 3 base 17.1µs 18.4µs 53619. 48.4KB 16.1
bench::mark(
ansi = ansi_align(ansi, width = 20, align = "right"),
plain = ansi_align(plain, width = 20, align = "right"),
base = format(plain, width = 20, justify = "right"),
check = FALSE
)#> # A tibble: 3 × 6
#> expression min median `itr/sec` mem_alloc `gc/sec`
#> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt> <dbl>
#> 1 ansi 62.5µs 67.3µs 14658. 0B 17.2
#> 2 plain 62.5µs 67µs 14734. 0B 19.7
#> 3 base 19.8µs 21.3µs 46320. 0B 18.5
ansi_chartr()
bench::mark(
ansi = ansi_chartr("abc", "XYZ", ansi),
plain = ansi_chartr("abc", "XYZ", plain),
base = chartr("abc", "XYZ", plain),
check = FALSE
)#> # A tibble: 3 × 6
#> expression min median `itr/sec` mem_alloc `gc/sec`
#> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt> <dbl>
#> 1 ansi 173µs 181.7µs 5431. 75.06KB 10.5
#> 2 plain 132µs 140.6µs 7011. 8.73KB 10.5
#> 3 base 3µs 3.2µs 297959. 0B 29.8
ansi_columns()
bench::mark(
ansi = ansi_columns(vec_ansi6, width = 120),
plain = ansi_columns(vec_plain6, width = 120),
check = FALSE
)#> # A tibble: 2 × 6
#> expression min median `itr/sec` mem_alloc `gc/sec`
#> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt> <dbl>
#> 1 ansi 478µs 500µs 1977. 33.19KB 15.0
#> 2 plain 479µs 500µs 1978. 1.09KB 15.0
ansi_has_any()
bench::mark(
cli_ansi = ansi_has_any(ansi),
fansi_ansi = has_sgr(ansi),
cli_plain = ansi_has_any(plain),
fansi_plain = has_sgr(plain),
cli_vec_ansi = ansi_has_any(vec_ansi),
fansi_vec_ansi = has_sgr(vec_ansi),
cli_vec_plain = ansi_has_any(vec_plain),
fansi_vec_plain = has_sgr(vec_plain),
cli_txt_ansi = ansi_has_any(txt_ansi),
fansi_txt_ansi = has_sgr(txt_ansi),
cli_txt_plain = ansi_has_any(txt_plain),
fansi_txt_plain = has_sgr(vec_plain),
check = FALSE
)#> # A tibble: 12 × 6
#> expression min median `itr/sec` mem_alloc `gc/sec`
#> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt> <dbl>
#> 1 cli_ansi 8µs 9µs 109178. 8.02KB 21.8
#> 2 fansi_ansi 41.6µs 45.4µs 21624. 4.18KB 19.7
#> 3 cli_plain 8µs 8.9µs 109608. 0B 21.9
#> 4 fansi_plain 41.5µs 45.2µs 21751. 688B 19.6
#> 5 cli_vec_ansi 10.1µs 11.1µs 88057. 448B 17.6
#> 6 fansi_vec_ansi 57µs 61.4µs 16010. 5.02KB 14.9
#> 7 cli_vec_plain 11µs 11.5µs 85544. 448B 8.56
#> 8 fansi_vec_plain 53.8µs 55.7µs 17660. 5.02KB 17.4
#> 9 cli_txt_ansi 7.9µs 8.3µs 118530. 0B 23.7
#> 10 fansi_txt_ansi 41.1µs 42.5µs 23118. 688B 18.5
#> 11 cli_txt_plain 9µs 9.4µs 103403. 0B 20.7
#> 12 fansi_txt_plain 53.8µs 56.4µs 17407. 5.02KB 15.1
ansi_html()
This is typically used with longer text.
bench::mark(
cli = ansi_html(txt_ansi),
fansi = sgr_to_html(txt_ansi, classes = TRUE),
check = FALSE
)#> # A tibble: 2 × 6
#> expression min median `itr/sec` mem_alloc `gc/sec`
#> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt> <dbl>
#> 1 cli 96.4µs 98.2µs 10104. 28.8KB 6.15
#> 2 fansi 185.2µs 190.1µs 5182. 55.4KB 6.17
ansi_nchar()
bench::mark(
cli_ansi = ansi_nchar(ansi),
fansi_ansi = nchar_sgr(ansi),
base_ansi = nchar(ansi),
cli_plain = ansi_nchar(plain),
fansi_plain = nchar_sgr(plain),
base_plain = nchar(plain),
cli_vec_ansi = ansi_nchar(vec_ansi),
fansi_vec_ansi = nchar_sgr(vec_ansi),
base_vec_ansi = nchar(vec_ansi),
cli_vec_plain = ansi_nchar(vec_plain),
fansi_vec_plain = nchar_sgr(vec_plain),
base_vec_plain = nchar(vec_plain),
cli_txt_ansi = ansi_nchar(txt_ansi),
fansi_txt_ansi = nchar_sgr(txt_ansi),
base_txt_ansi = nchar(txt_ansi),
cli_txt_plain = ansi_nchar(txt_plain),
fansi_txt_plain = nchar_sgr(txt_plain),
base_txt_plain = nchar(txt_plain),
check = FALSE
)#> # A tibble: 18 × 6
#> expression min median `itr/sec` mem_alloc `gc/sec`
#> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt> <dbl>
#> 1 cli_ansi 9.8µs 10.4µs 93593. 0B 18.7
#> 2 fansi_ansi 311.4µs 327.6µs 3027. 31.85KB 10.5
#> 3 base_ansi 1.2µs 1.3µs 718119. 0B 0
#> 4 cli_plain 9.7µs 10.3µs 94496. 0B 18.9
#> 5 fansi_plain 314.3µs 326.9µs 3018. 688B 12.7
#> 6 base_plain 1.1µs 1.2µs 824713. 0B 0
#> 7 cli_vec_ansi 48.2µs 49.3µs 20104. 448B 4.08
#> 8 fansi_vec_ansi 357.8µs 369.9µs 2676. 5.02KB 8.32
#> 9 base_vec_ansi 20.2µs 20.6µs 47985. 448B 4.80
#> 10 cli_vec_plain 42.6µs 43.6µs 22763. 448B 4.55
#> 11 fansi_vec_plain 336.3µs 349.4µs 2830. 5.02KB 8.35
#> 12 base_vec_plain 11.5µs 11.7µs 84103. 448B 8.41
#> 13 cli_txt_ansi 48.9µs 50.1µs 19809. 0B 4.08
#> 14 fansi_txt_ansi 341.4µs 354.2µs 2798. 688B 8.29
#> 15 base_txt_ansi 19.5µs 20.7µs 48078. 0B 4.81
#> 16 cli_txt_plain 41.5µs 42.2µs 23477. 0B 4.70
#> 17 fansi_txt_plain 319µs 332.5µs 2978. 688B 10.5
#> 18 base_txt_plain 11.2µs 11.7µs 85154. 0B 0
bench::mark(
cli_ansi = ansi_nchar(ansi, type = "width"),
fansi_ansi = nchar_sgr(ansi, type = "width"),
base_ansi = nchar(ansi, "width"),
cli_plain = ansi_nchar(plain, type = "width"),
fansi_plain = nchar_sgr(plain, type = "width"),
base_plain = nchar(plain, "width"),
cli_vec_ansi = ansi_nchar(vec_ansi, type = "width"),
fansi_vec_ansi = nchar_sgr(vec_ansi, type = "width"),
base_vec_ansi = nchar(vec_ansi, "width"),
cli_vec_plain = ansi_nchar(vec_plain, type = "width"),
fansi_vec_plain = nchar_sgr(vec_plain, type = "width"),
base_vec_plain = nchar(vec_plain, "width"),
cli_txt_ansi = ansi_nchar(txt_ansi, type = "width"),
fansi_txt_ansi = nchar_sgr(txt_ansi, type = "width"),
base_txt_ansi = nchar(txt_ansi, "width"),
cli_txt_plain = ansi_nchar(txt_plain, type = "width"),
fansi_txt_plain = nchar_sgr(txt_plain, type = "width"),
base_txt_plain = nchar(txt_plain, type = "width"),
check = FALSE
)#> # A tibble: 18 × 6
#> expression min median `itr/sec` mem_alloc `gc/sec`
#> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt> <dbl>
#> 1 cli_ansi 12.1µs 12.8µs 76678. 0B 15.3
#> 2 fansi_ansi 314.6µs 328.7µs 3014. 688B 10.5
#> 3 base_ansi 1.7µs 1.8µs 525332. 0B 52.5
#> 4 cli_plain 12.2µs 12.8µs 76184. 0B 15.2
#> 5 fansi_plain 315.4µs 329.6µs 3005. 688B 10.5
#> 6 base_plain 1.4µs 1.5µs 622241. 0B 62.2
#> 7 cli_vec_ansi 58.5µs 59.7µs 16631. 448B 4.08
#> 8 fansi_vec_ansi 371.1µs 383.4µs 2582. 5.02KB 8.32
#> 9 base_vec_ansi 56.1µs 61.4µs 16215. 448B 0
#> 10 cli_vec_plain 52.4µs 53.4µs 18554. 448B 6.18
#> 11 fansi_vec_plain 349.7µs 362.4µs 2729. 5.02KB 8.35
#> 12 base_vec_plain 29.8µs 31µs 32178. 448B 3.22
#> 13 cli_txt_ansi 59.2µs 60.7µs 16384. 0B 4.08
#> 14 fansi_txt_ansi 351.5µs 365.2µs 2711. 688B 8.29
#> 15 base_txt_ansi 62.1µs 64.1µs 15541. 0B 2.02
#> 16 cli_txt_plain 51.6µs 52.7µs 18823. 0B 4.07
#> 17 fansi_txt_plain 330.3µs 344.2µs 2877. 688B 10.5
#> 18 base_txt_plain 32.1µs 33.3µs 29814. 0B 0
ansi_simplify()
Nothing to compare here.
bench::mark(
cli_ansi = ansi_simplify(ansi),
cli_plain = ansi_simplify(plain),
cli_vec_ansi = ansi_simplify(vec_ansi),
cli_vec_plain = ansi_simplify(vec_plain),
cli_txt_ansi = ansi_simplify(txt_ansi),
cli_txt_plain = ansi_simplify(txt_plain),
check = FALSE
)#> # A tibble: 6 × 6
#> expression min median `itr/sec` mem_alloc `gc/sec`
#> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt> <dbl>
#> 1 cli_ansi 9.9µs 10.5µs 93311. 0B 9.33
#> 2 cli_plain 9µs 9.5µs 103365. 0B 20.7
#> 3 cli_vec_ansi 60.4µs 61.2µs 16257. 848B 4.08
#> 4 cli_vec_plain 15.4µs 16.1µs 61458. 848B 6.15
#> 5 cli_txt_ansi 58.7µs 59.6µs 16679. 0B 4.07
#> 6 cli_txt_plain 10.2µs 10.6µs 92969. 0B 9.30
ansi_strip()
bench::mark(
cli_ansi = ansi_strip(ansi),
fansi_ansi = strip_sgr(ansi),
cli_plain = ansi_strip(plain),
fansi_plain = strip_sgr(plain),
cli_vec_ansi = ansi_strip(vec_ansi),
fansi_vec_ansi = strip_sgr(vec_ansi),
cli_vec_plain = ansi_strip(vec_plain),
fansi_vec_plain = strip_sgr(vec_plain),
cli_txt_ansi = ansi_strip(txt_ansi),
fansi_txt_ansi = strip_sgr(txt_ansi),
cli_txt_plain = ansi_strip(txt_plain),
fansi_txt_plain = strip_sgr(txt_plain),
check = FALSE
)#> # A tibble: 12 × 6
#> expression min median `itr/sec` mem_alloc `gc/sec`
#> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt> <dbl>
#> 1 cli_ansi 16.1µs 16.8µs 58896. 0B 17.7
#> 2 fansi_ansi 38.4µs 39.8µs 24594. 688B 22.2
#> 3 cli_plain 16.2µs 16.9µs 57769. 0B 17.3
#> 4 fansi_plain 37.8µs 39.6µs 24646. 688B 22.2
#> 5 cli_vec_ansi 31.1µs 32.1µs 30720. 848B 9.22
#> 6 fansi_vec_ansi 82.1µs 84.9µs 11612. 5.41KB 10.6
#> 7 cli_vec_plain 20.3µs 21.3µs 46128. 848B 18.5
#> 8 fansi_vec_plain 52.8µs 55.2µs 17806. 4.59KB 15.0
#> 9 cli_txt_ansi 29.3µs 30.3µs 32526. 0B 9.76
#> 10 fansi_txt_ansi 66.4µs 69.8µs 14123. 5.12KB 12.7
#> 11 cli_txt_plain 17.2µs 18µs 54375. 0B 16.3
#> 12 fansi_txt_plain 40.1µs 41.8µs 23303. 688B 21.0
ansi_strsplit()
bench::mark(
cli_ansi = ansi_strsplit(ansi, "i"),
fansi_ansi = strsplit_sgr(ansi, "i"),
base_ansi = strsplit(ansi, "i"),
cli_plain = ansi_strsplit(plain, "i"),
fansi_plain = strsplit_sgr(plain, "i"),
base_plain = strsplit(plain, "i"),
cli_vec_ansi = ansi_strsplit(vec_ansi, "i"),
fansi_vec_ansi = strsplit_sgr(vec_ansi, "i"),
base_vec_ansi = strsplit(vec_ansi, "i"),
cli_vec_plain = ansi_strsplit(vec_plain, "i"),
fansi_vec_plain = strsplit_sgr(vec_plain, "i"),
base_vec_plain = strsplit(vec_plain, "i"),
cli_txt_ansi = ansi_strsplit(txt_ansi, "i"),
fansi_txt_ansi = strsplit_sgr(txt_ansi, "i"),
base_txt_ansi = strsplit(txt_ansi, "i"),
cli_txt_plain = ansi_strsplit(txt_plain, "i"),
fansi_txt_plain = strsplit_sgr(txt_plain, "i"),
base_txt_plain = strsplit(txt_plain, "i"),
check = FALSE
)#> # A tibble: 18 × 6
#> expression min median `itr/sec` mem_alloc `gc/sec`
#> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt> <dbl>
#> 1 cli_ansi 247.6µs 258.5µs 3823. 103.35KB 12.7
#> 2 fansi_ansi 184.8µs 196.7µs 5015. 102.16KB 15.1
#> 3 base_ansi 7.8µs 8.5µs 116008. 224B 0
#> 4 cli_plain 243.31µs 254.1µs 3879. 8.09KB 12.7
#> 5 fansi_plain 180.4µs 192.8µs 5111. 9.62KB 15.0
#> 6 base_plain 6.8µs 7.2µs 135758. 0B 13.6
#> 7 cli_vec_ansi 9.8ms 9.97ms 99.5 823.77KB 21.0
#> 8 fansi_vec_ansi 1.61ms 1.67ms 579. 846.81KB 13.3
#> 9 base_vec_ansi 318.81µs 331.31µs 3006. 22.7KB 2.05
#> 10 cli_vec_plain 9.71ms 9.88ms 100. 823.77KB 21.2
#> 11 fansi_vec_plain 1.51ms 1.55ms 643. 845.98KB 16.1
#> 12 base_vec_plain 211.7µs 219.3µs 4546. 848B 2.02
#> 13 cli_txt_ansi 5.94ms 5.98ms 167. 63.6KB 0
#> 14 fansi_txt_ansi 2.81ms 2.84ms 352. 35.05KB 2.03
#> 15 base_txt_ansi 286.91µs 296.5µs 3375. 18.47KB 0
#> 16 cli_txt_plain 3.89ms 3.91ms 255. 63.6KB 0
#> 17 fansi_txt_plain 898.52µs 938.32µs 1063. 30.6KB 4.10
#> 18 base_txt_plain 163.7µs 176.3µs 5662. 11.05KB 0
ansi_strtrim()
bench::mark(
cli_ansi = ansi_strtrim(ansi, 10),
fansi_ansi = strtrim_sgr(ansi, 10),
base_ansi = strtrim(ansi, 10),
cli_plain = ansi_strtrim(plain, 10),
fansi_plain = strtrim_sgr(plain, 10),
base_plain = strtrim(plain, 10),
cli_vec_ansi = ansi_strtrim(vec_ansi, 10),
fansi_vec_ansi = strtrim_sgr(vec_ansi, 10),
base_vec_ansi = strtrim(vec_ansi, 10),
cli_vec_plain = ansi_strtrim(vec_plain, 10),
fansi_vec_plain = strtrim_sgr(vec_plain, 10),
base_vec_plain = strtrim(vec_plain, 10),
cli_txt_ansi = ansi_strtrim(txt_ansi, 10),
fansi_txt_ansi = strtrim_sgr(txt_ansi, 10),
base_txt_ansi = strtrim(txt_ansi, 10),
cli_txt_plain = ansi_strtrim(txt_plain, 10),
fansi_txt_plain = strtrim_sgr(txt_plain, 10),
base_txt_plain = strtrim(txt_plain, 10),
check = FALSE
)#> # A tibble: 18 × 6
#> expression min median `itr/sec` mem_alloc `gc/sec`
#> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt> <dbl>
#> 1 cli_ansi 127.4µs 131.7µs 7467. 32.23KB 19.5
#> 2 fansi_ansi 71.2µs 74.3µs 13170. 31.45KB 17.4
#> 3 base_ansi 1.6µs 1.7µs 577688. 4.2KB 57.8
#> 4 cli_plain 124.5µs 130.5µs 7569. 0B 17.1
#> 5 fansi_plain 68.5µs 74.5µs 13186. 872B 19.5
#> 6 base_plain 1.4µs 1.6µs 618846. 0B 0
#> 7 cli_vec_ansi 356.3µs 366.5µs 2705. 16.73KB 8.30
#> 8 fansi_vec_ansi 175µs 180.6µs 5474. 5.59KB 8.34
#> 9 base_vec_ansi 57.3µs 57.9µs 17208. 848B 0
#> 10 cli_vec_plain 267.2µs 277µs 3573. 16.73KB 8.40
#> 11 fansi_vec_plain 167.9µs 173.6µs 5537. 5.59KB 8.34
#> 12 base_vec_plain 46.3µs 47.4µs 20164. 848B 2.02
#> 13 cli_txt_ansi 141µs 148.9µs 6298. 0B 15.0
#> 14 fansi_txt_ansi 71.3µs 75.3µs 12635. 872B 17.2
#> 15 base_txt_ansi 1.6µs 1.7µs 546870. 0B 54.7
#> 16 cli_txt_plain 126.8µs 132µs 7476. 0B 17.1
#> 17 fansi_txt_plain 70.8µs 74.6µs 13162. 872B 19.5
#> 18 base_txt_plain 1.5µs 1.6µs 621820. 0B 0
ansi_strwrap()
This function is most useful for longer text, but it is often called for short text in cli, so it makes sense to benchmark that as well.
bench::mark(
cli_ansi = ansi_strwrap(ansi, 30),
fansi_ansi = strwrap_sgr(ansi, 30),
base_ansi = strwrap(ansi, 30),
cli_plain = ansi_strwrap(plain, 30),
fansi_plain = strwrap_sgr(plain, 30),
base_plain = strwrap(plain, 30),
cli_vec_ansi = ansi_strwrap(vec_ansi, 30),
fansi_vec_ansi = strwrap_sgr(vec_ansi, 30),
base_vec_ansi = strwrap(vec_ansi, 30),
cli_vec_plain = ansi_strwrap(vec_plain, 30),
fansi_vec_plain = strwrap_sgr(vec_plain, 30),
base_vec_plain = strwrap(vec_plain, 30),
cli_txt_ansi = ansi_strwrap(txt_ansi, 30),
fansi_txt_ansi = strwrap_sgr(txt_ansi, 30),
base_txt_ansi = strwrap(txt_ansi, 30),
cli_txt_plain = ansi_strwrap(txt_plain, 30),
fansi_txt_plain = strwrap_sgr(txt_plain, 30),
base_txt_plain = strwrap(txt_plain, 30),
check = FALSE
)#> # A tibble: 18 × 6
#> expression min median `itr/sec` mem_alloc `gc/sec`
#> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt> <dbl>
#> 1 cli_ansi 522.41µs 543.01µs 1826. 266.69KB 15.1
#> 2 fansi_ansi 130.1µs 138.9µs 6980. 10.3KB 17.2
#> 3 base_ansi 52.8µs 54.8µs 17773. 0B 17.1
#> 4 cli_plain 300.11µs 314.31µs 3132. 0B 12.7
#> 5 fansi_plain 120.4µs 133.1µs 7399. 872B 17.2
#> 6 base_plain 43.3µs 44.4µs 22273. 0B 17.8
#> 7 cli_vec_ansi 52.78ms 52.78ms 18.8 2.48KB 37.7
#> 8 fansi_vec_ansi 361.01µs 370.81µs 2668. 7.25KB 8.32
#> 9 base_vec_ansi 3.17ms 3.26ms 305. 48.18KB 20.8
#> 10 cli_vec_plain 29.96ms 30.31ms 33.0 2.48KB 25.6
#> 11 fansi_vec_plain 291.31µs 301.31µs 3273. 6.42KB 8.31
#> 12 base_vec_plain 2.31ms 2.39ms 415. 47.4KB 17.9
#> 13 cli_txt_ansi 36.02ms 36.32ms 27.5 507.59KB 11.0
#> 14 fansi_txt_ansi 332.41µs 343.51µs 2875. 6.77KB 8.30
#> 15 base_txt_ansi 5.06ms 5.16ms 193. 582.06KB 4.20
#> 16 cli_txt_plain 4.03ms 4.08ms 243. 369.84KB 6.39
#> 17 fansi_txt_plain 255.31µs 264.11µs 3737. 2.51KB 8.30
#> 18 base_txt_plain 2.94ms 2.99ms 332. 367.31KB 6.34
ansi_substr()
bench::mark(
cli_ansi = ansi_substr(ansi, 2, 10),
fansi_ansi = substr_sgr(ansi, 2, 10),
base_ansi = substr(ansi, 2, 10),
cli_plain = ansi_substr(plain, 2, 10),
fansi_plain = substr_sgr(plain, 2, 10),
base_plain = substr(plain, 2, 10),
cli_vec_ansi = ansi_substr(vec_ansi, 2, 10),
fansi_vec_ansi = substr_sgr(vec_ansi, 2, 10),
base_vec_ansi = substr(vec_ansi, 2, 10),
cli_vec_plain = ansi_substr(vec_plain, 2, 10),
fansi_vec_plain = substr_sgr(vec_plain, 2, 10),
base_vec_plain = substr(vec_plain, 2, 10),
cli_txt_ansi = ansi_substr(txt_ansi, 2, 10),
fansi_txt_ansi = substr_sgr(txt_ansi, 2, 10),
base_txt_ansi = substr(txt_ansi, 2, 10),
cli_txt_plain = ansi_substr(txt_plain, 2, 10),
fansi_txt_plain = substr_sgr(txt_plain, 2, 10),
base_txt_plain = substr(txt_plain, 2, 10),
check = FALSE
)#> # A tibble: 18 × 6
#> expression min median `itr/sec` mem_alloc `gc/sec`
#> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt> <dbl>
#> 1 cli_ansi 9.5µs 10.2µs 95604. 23.82KB 19.1
#> 2 fansi_ansi 104.5µs 109.8µs 8910. 28.48KB 17.2
#> 3 base_ansi 1.3µs 1.5µs 625860. 0B 62.6
#> 4 cli_plain 9.4µs 10µs 97164. 0B 19.4
#> 5 fansi_plain 103.6µs 109µs 8959. 1.98KB 17.2
#> 6 base_plain 1.3µs 1.4µs 633746. 0B 63.4
#> 7 cli_vec_ansi 43.4µs 44.9µs 22060. 1.7KB 4.41
#> 8 fansi_vec_ansi 161.1µs 167.9µs 5850. 8.86KB 10.6
#> 9 base_vec_ansi 11.2µs 12.1µs 81911. 848B 8.19
#> 10 cli_vec_plain 36.2µs 37.6µs 26259. 1.7KB 5.25
#> 11 fansi_vec_plain 152.4µs 159µs 6166. 8.86KB 12.8
#> 12 base_vec_plain 10.6µs 11.2µs 88910. 848B 0
#> 13 cli_txt_ansi 9.5µs 10.2µs 94819. 0B 28.5
#> 14 fansi_txt_ansi 104.2µs 109.7µs 8925. 1.98KB 17.2
#> 15 base_txt_ansi 6.8µs 6.9µs 142253. 0B 0
#> 16 cli_txt_plain 10.5µs 11.1µs 88048. 0B 17.6
#> 17 fansi_txt_plain 102.9µs 106.1µs 9274. 1.98KB 19.3
#> 18 base_txt_plain 4.5µs 4.6µs 215324. 0B 0
ansi_tolower() , ansi_toupper()
bench::mark(
cli_ansi = ansi_tolower(ansi),
base_ansi = tolower(ansi),
cli_plain = ansi_tolower(plain),
base_plain = tolower(plain),
cli_vec_ansi = ansi_tolower(vec_ansi),
base_vec_ansi = tolower(vec_ansi),
cli_vec_plain = ansi_tolower(vec_plain),
base_vec_plain = tolower(vec_plain),
cli_txt_ansi = ansi_tolower(txt_ansi),
base_txt_ansi = tolower(txt_ansi),
cli_txt_plain = ansi_tolower(txt_plain),
base_txt_plain = tolower(txt_plain),
check = FALSE
)#> # A tibble: 12 × 6
#> expression min median `itr/sec` mem_alloc `gc/sec`
#> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt> <dbl>
#> 1 cli_ansi 157.9µs 164.8µs 5986. 11.85KB 12.7
#> 2 base_ansi 2µs 2.1µs 462572. 0B 0
#> 3 cli_plain 122.8µs 130.7µs 7491. 8.73KB 10.5
#> 4 base_plain 1.5µs 1.6µs 591684. 0B 59.2
#> 5 cli_vec_ansi 5.77ms 5.87ms 170. 838.77KB 21.8
#> 6 base_vec_ansi 118.9µs 129.6µs 7706. 848B 0
#> 7 cli_vec_plain 3.3ms 3.38ms 294. 816.9KB 23.6
#> 8 base_vec_plain 76.3µs 77.3µs 12908. 848B 0
#> 9 cli_txt_ansi 17.64ms 17.78ms 56.1 114.42KB 4.31
#> 10 base_txt_ansi 124.8µs 125.4µs 7954. 0B 0
#> 11 cli_txt_plain 489.01µs 497.81µs 1991. 18.16KB 4.08
#> 12 base_txt_plain 74.5µs 74.9µs 13313. 0B 0
ansi_trimws()
bench::mark(
cli_ansi = ansi_trimws(ansi),
base_ansi = trimws(ansi),
cli_plain = ansi_trimws(plain),
base_plain = trimws(plain),
cli_vec_ansi = ansi_trimws(vec_ansi),
base_vec_ansi = trimws(vec_ansi),
cli_vec_plain = ansi_trimws(vec_plain),
base_vec_plain = trimws(vec_plain),
cli_txt_ansi = ansi_trimws(txt_ansi),
base_txt_ansi = trimws(txt_ansi),
cli_txt_plain = ansi_trimws(txt_plain),
base_txt_plain = trimws(txt_plain),
check = FALSE
)#> # A tibble: 12 × 6
#> expression min median `itr/sec` mem_alloc `gc/sec`
#> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt> <dbl>
#> 1 cli_ansi 97.7µs 102.4µs 9482. 0B 19.4
#> 2 base_ansi 24.4µs 25.6µs 38121. 0B 15.3
#> 3 cli_plain 97.7µs 101.7µs 9607. 0B 17.2
#> 4 base_plain 24.2µs 25.4µs 38756. 0B 15.5
#> 5 cli_vec_ansi 240.7µs 248.4µs 3955. 7.2KB 8.32
#> 6 base_vec_ansi 101.1µs 108.7µs 9141. 1.66KB 4.08
#> 7 cli_vec_plain 218.7µs 226.2µs 4380. 7.2KB 8.33
#> 8 base_vec_plain 86.5µs 93.3µs 10622. 1.66KB 4.08
#> 9 cli_txt_ansi 200µs 204.6µs 4834. 0B 8.28
#> 10 base_txt_ansi 68.8µs 70.3µs 14111. 0B 6.15
#> 11 cli_txt_plain 174.8µs 179.6µs 5501. 0B 10.4
#> 12 base_txt_plain 56.5µs 58µs 17064. 0B 6.15UTF-8 functions
utf8_nchar()
bench::mark(
cli = utf8_nchar(uni, type = "chars"),
base = nchar(uni, "chars"),
cli_vec = utf8_nchar(vec_uni, type = "chars"),
base_vec = nchar(vec_uni, "chars"),
cli_txt = utf8_nchar(txt_uni, type = "chars"),
base_txt = nchar(txt_uni, "chars"),
check = FALSE
)#> # A tibble: 6 × 6
#> expression min median `itr/sec` mem_alloc `gc/sec`
#> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt> <dbl>
#> 1 cli 12µs 12.6µs 77406. 12.3KB 15.5
#> 2 base 1.2µs 1.3µs 693100. 0B 69.3
#> 3 cli_vec 40.3µs 41.6µs 23835. 448B 4.77
#> 4 base_vec 18.2µs 18.4µs 53957. 448B 0
#> 5 cli_txt 40.1µs 41.5µs 23876. 0B 7.16
#> 6 base_txt 20.6µs 21.7µs 45355. 0B 0
bench::mark(
cli = utf8_nchar(uni, type = "width"),
base = nchar(uni, "width"),
cli_vec = utf8_nchar(vec_uni, type = "width"),
base_vec = nchar(vec_uni, "width"),
cli_txt = utf8_nchar(txt_uni, type = "width"),
base_txt = nchar(txt_uni, "width"),
check = FALSE
)#> # A tibble: 6 × 6
#> expression min median `itr/sec` mem_alloc `gc/sec`
#> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt> <dbl>
#> 1 cli 11.8µs 12.5µs 78480. 0B 15.7
#> 2 base 1.8µs 1.9µs 495410. 0B 0
#> 3 cli_vec 44.3µs 46µs 21543. 448B 6.46
#> 4 base_vec 73.5µs 74.2µs 13447. 448B 0
#> 5 cli_txt 44.9µs 46.3µs 21404. 0B 4.28
#> 6 base_txt 136.2µs 137.9µs 7233. 0B 0
bench::mark(
cli = utf8_nchar(uni, type = "codepoints"),
base = nchar(uni, "chars"),
cli_vec = utf8_nchar(vec_uni, type = "codepoints"),
base_vec = nchar(vec_uni, "chars"),
cli_txt = utf8_nchar(txt_uni, type = "codepoints"),
base_txt = nchar(txt_uni, "chars"),
check = FALSE
)#> # A tibble: 6 × 6
#> expression min median `itr/sec` mem_alloc `gc/sec`
#> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt> <dbl>
#> 1 cli 13µs 13.8µs 70572. 0B 21.2
#> 2 base 1.2µs 1.3µs 748455. 0B 0
#> 3 cli_vec 30.3µs 31.4µs 31475. 448B 9.45
#> 4 base_vec 18.2µs 18.4µs 54092. 448B 0
#> 5 cli_txt 33.2µs 34.4µs 28770. 0B 8.63
#> 6 base_txt 20.5µs 21.8µs 45688. 0B 0
utf8_substr()
bench::mark(
cli = utf8_substr(uni, 2, 10),
base = substr(uni, 2, 10),
cli_vec = utf8_substr(vec_uni, 2, 10),
base_vec = substr(vec_uni, 2, 10),
cli_txt = utf8_substr(txt_uni, 2, 10),
base_txt = substr(txt_uni, 2, 10),
check = FALSE
)#> # A tibble: 6 × 6
#> expression min median `itr/sec` mem_alloc `gc/sec`
#> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt> <dbl>
#> 1 cli 8.8µs 9.3µs 105614. 21.1KB 21.1
#> 2 base 1.4µs 1.5µs 637438. 0B 0
#> 3 cli_vec 45.8µs 46.9µs 21188. 1.7KB 6.36
#> 4 base_vec 12.9µs 13.2µs 75244. 848B 0
#> 5 cli_txt 8.8µs 9.2µs 106441. 0B 31.9
#> 6 base_txt 10.7µs 12µs 82791. 0B 0Session info
sessioninfo::session_info()#> ─ Session info ─────────────────────────────────────────────────────────
#> setting value
#> version R version 4.2.2 (2022-10-31)
#> os Ubuntu 22.04.1 LTS
#> system x86_64, linux-gnu
#> ui X11
#> language en
#> collate C.UTF-8
#> ctype C.UTF-8
#> tz UTC
#> date 2023-01-09
#> pandoc 2.19.2 @ /usr/bin/ (via rmarkdown)
#>
#> ─ Packages ─────────────────────────────────────────────────────────────
#> package * version date (UTC) lib source
#> bench 1.1.2 2021-11-30 [1] RSPM
#> bslib 0.4.2 2022-12-16 [1] RSPM
#> cachem 1.0.6 2021-08-19 [1] RSPM
#> cli * 3.6.0 2023-01-09 [1] local
#> codetools 0.2-18 2020-11-04 [3] CRAN (R 4.2.2)
#> desc 1.4.2 2022-09-08 [1] RSPM
#> digest 0.6.31 2022-12-11 [1] RSPM
#> evaluate 0.19 2022-12-13 [1] RSPM
#> fansi * 1.0.3 2022-03-24 [1] RSPM
#> fastmap 1.1.0 2021-01-25 [1] RSPM
#> fs 1.5.2 2021-12-08 [1] RSPM
#> glue 1.6.2 2022-02-24 [1] RSPM
#> htmltools 0.5.4 2022-12-07 [1] RSPM
#> jquerylib 0.1.4 2021-04-26 [1] RSPM
#> jsonlite 1.8.4 2022-12-06 [1] RSPM
#> knitr 1.41 2022-11-18 [1] RSPM
#> lifecycle 1.0.3 2022-10-07 [1] RSPM
#> magrittr 2.0.3 2022-03-30 [1] RSPM
#> memoise 2.0.1 2021-11-26 [1] RSPM
#> pillar 1.8.1 2022-08-19 [1] RSPM
#> pkgconfig 2.0.3 2019-09-22 [1] RSPM
#> pkgdown 2.0.7 2022-12-14 [1] any (@2.0.7)
#> profmem 0.6.0 2020-12-13 [1] RSPM
#> purrr 1.0.0 2022-12-20 [1] RSPM
#> R6 2.5.1 2021-08-19 [1] RSPM
#> ragg 1.2.4 2022-10-24 [1] RSPM
#> rlang 1.0.6 2022-09-24 [1] RSPM
#> rmarkdown 2.19 2022-12-15 [1] RSPM
#> rprojroot 2.0.3 2022-04-02 [1] RSPM
#> sass 0.4.4 2022-11-24 [1] RSPM
#> sessioninfo 1.2.2 2021-12-06 [1] RSPM
#> stringi 1.7.8 2022-07-11 [1] RSPM
#> stringr 1.5.0 2022-12-02 [1] RSPM
#> systemfonts 1.0.4 2022-02-11 [1] RSPM
#> textshaping 0.3.6 2021-10-13 [1] RSPM
#> tibble 3.1.8 2022-07-22 [1] RSPM
#> utf8 1.2.2 2021-07-24 [1] RSPM
#> vctrs 0.5.1 2022-11-16 [1] RSPM
#> xfun 0.36 2022-12-21 [1] RSPM
#> yaml 2.3.6 2022-10-18 [1] RSPM
#>
#> [1] /home/runner/work/_temp/Library
#> [2] /opt/R/4.2.2/lib/R/site-library
#> [3] /opt/R/4.2.2/lib/R/library
#>
#> ────────────────────────────────────────────────────────────────────────