optimise cpp code

[DyfanJones]

After playing around with github copilot I have managed to do some micro performance enhancements

url <- "foo = bar + 5"

(bm <- bench::mark(
  curl = curl::curl_escape(url),
  current_paws = paws.common:::paws_url_encoder(url),
  new_paws = paws_url_encoder_v2(url),
  relative = T
))
#> # A tibble: 3 × 6
#>   expression     min median `itr/sec` mem_alloc `gc/sec`
#>   <bch:expr>   <dbl>  <dbl>     <dbl>     <dbl>    <dbl>
#> 1 curl          2.38   2.11      3.06       Inf      NaN
#> 2 current_paws  7.19   6.68      1          Inf      Inf
#> 3 new_paws      1      1         3.69       NaN      NaN

bm |> ggplot2::autoplot()
#> Loading required namespace: tidyr

^{Created on 2024-12-31 with reprex v2.1.1}

The latest url encoder is now ~x6 faster than original.

[DyfanJones]

Similar to uuid_v4 generator.

n <- 1

(bm <- bench::mark(
  uuid = uuid::UUIDgenerate(n),
  uwu = uwu::new_v4(n),
  current_paws = paws.common:::uuid_v4(n),
  new_paws = uuid_v4(n),
  check = F,
  relative = T
))
#> # A tibble: 4 × 6
#>   expression     min median `itr/sec` mem_alloc `gc/sec`
#>   <bch:expr>   <dbl>  <dbl>     <dbl>     <dbl>    <dbl>
#> 1 uuid         33.2   27.3       1          Inf      Inf
#> 2 uwu           1      1.16     21.3        Inf      NaN
#> 3 current_paws  3.71   3.16      8.53       Inf      NaN
#> 4 new_paws      1.07   1        15.0        NaN      Inf

bm |> ggplot2::autoplot()
#> Loading required namespace: tidyr

^{Created on 2024-12-31 with reprex v2.1.1}