Run setup code and benchmarks across a grid of parameters

press() is used to run mark() across a grid of parameters and then press the results together.

The parameters you want to set are given as named arguments and a grid of all possible combinations is automatically created.

The code to setup and benchmark is given by one unnamed expression (often delimited by \{).

If replicates are desired a dummy variable can be used, e.g. rep = 1:5 for replicates.

press(..., .grid = NULL)

Arguments

...

If named, parameters to define, if unnamed the expression to run. Only one unnamed expression is permitted.

.grid

A pre-built grid of values to use, typically a data.frame or tibble. This is useful if you only want to benchmark a subset of all possible combinations.

Examples

# Helper function to create a simple data.frame of the specified dimensions
create_df <- function(rows, cols) {
  as.data.frame(setNames(
    replicate(cols, runif(rows, 1, 1000), simplify = FALSE),
    rep_len(c("x", letters), cols)))
}

# Run 4 data sizes across 3 samples with 2 replicates (24 total benchmarks)
press(
  rows = c(1000, 10000),
  cols = c(10, 100),
  rep = 1:2,
  {
    dat <- create_df(rows, cols)
    bench::mark(
      min_time = .05,
      bracket = dat[dat$x > 500, ],
      which = dat[which(dat$x > 500), ],
      subset = subset(dat, x > 500)
    )
  }
)
#> Running with:
#>    rows  cols   rep
#> 1  1000    10     1
#> 2 10000    10     1
#> 3  1000   100     1
#> 4 10000   100     1
#> Warning: Some expressions had a GC in every iteration; so filtering is disabled.
#> 5  1000    10     2
#> 6 10000    10     2
#> 7  1000   100     2
#> 8 10000   100     2
#> # A tibble: 24 × 16
#>    expression  rows  cols   rep      min   median `itr/sec` mem_alloc `gc/sec`
#>    <bch:expr> <dbl> <dbl> <int> <bch:tm> <bch:tm>     <dbl> <bch:byt>    <dbl>
#>  1 bracket     1000    10     1 122.41µs    182µs    5756.   115.85KB     24.2
#>  2 which       1000    10     1  97.71µs    156µs    6971.    56.01KB     22.4
#>  3 subset      1000    10     1 143.35µs    152µs    6486.   127.71KB     22.4
#>  4 bracket    10000    10     1 813.35µs    832µs    1137.     1.13MB     45.5
#>  5 which      10000    10     1    414µs    421µs    2341.   568.66KB     21.9
#>  6 subset     10000    10     1  929.9µs    949µs    1048.     1.24MB     49.9
#>  7 bracket     1000   100     1 868.19µs    894µs    1055.     1.01MB     52.7
#>  8 which       1000   100     1 747.58µs    774µs    1285.   428.73KB     23.4
#>  9 subset      1000   100     1 941.09µs    971µs    1020.     1.03MB     23.2
#> 10 bracket    10000   100     1   9.62ms     10ms      98.2    9.77MB     98.2
#> # … with 14 more rows, and 7 more variables: n_itr <int>, n_gc <dbl>,
#> #   total_time <bch:tm>, result <list>, memory <list>, time <list>, gc <list>