Purpose of random_id() in make_cmd_transformer()? #294
Description
Preface
This post is not so much about a bug but rather a question about some (to me) unexpected behavior cli causes when calling readr::read_csv(). If this is not the best place to ask such a question (because, again, this is probably not a bug), please direct me to a more suitable place to ask my question. The original question can be found on stackoverflow (this also includes a reprex and an incomplete explanation of why this is happening).
Problem
I recently came to realize that using readr::read_csv() uses random numbers which of course is somewhat unexpected behavior for a function that simply reads data. On stackoverflow someone was kind enough to point out that readr::read_csv() uses the cli package whose function random_id() here uses random numbers. So, for completeness' sake, I would like to understand what the purpose of random_id() is.
Reprex from Stackoverflow (for completeness)
library(tidyverse)
set.seed(123)
rnorm(1)
# [1] -0.5604756
set.seed(123)
dat <- read.csv("data/titanic.csv")
rnorm(1)
# [1] -0.5604756
set.seed(123)
dat <- read_csv("data/titanic.csv")
rnorm(1)
#[1] 1.239496
Session Info
library(readr)
sessioninfo::session_info()
#> - Session info ---------------------------------------------------------------
#> setting value
#> version R version 4.0.5 (2021-03-31)
#> os Windows 10 x64
#> system x86_64, mingw32
#> ui RTerm
#> language (EN)
#> collate German_Germany.1252
#> ctype German_Germany.1252
#> tz Europe/Berlin
#> date 2021-06-10
#>
#> - Packages -------------------------------------------------------------------
#> package * version date lib source
#> cli 2.5.0 2021-04-26 [1] CRAN (R 4.0.3)
#> crayon 1.4.1 2021-02-08 [1] CRAN (R 4.0.4)
#> digest 0.6.27 2020-10-24 [1] CRAN (R 4.0.3)
#> ellipsis 0.3.2 2021-04-29 [1] CRAN (R 4.0.3)
#> evaluate 0.14 2019-05-28 [1] CRAN (R 4.0.3)
#> fansi 0.5.0 2021-05-25 [1] CRAN (R 4.0.5)
#> fastmap 1.1.0 2021-01-25 [1] CRAN (R 4.0.5)
#> fs 1.5.0 2020-07-31 [1] CRAN (R 4.0.3)
#> glue 1.4.2 2020-08-27 [1] CRAN (R 4.0.3)
#> highr 0.9 2021-04-16 [1] CRAN (R 4.0.5)
#> hms 1.0.0 2021-01-13 [1] CRAN (R 4.0.5)
#> htmltools 0.5.1.9003 2021-05-07 [1] Github (rstudio/htmltools@e12171e)
#> knitr 1.33 2021-04-24 [1] CRAN (R 4.0.5)
#> lifecycle 1.0.0 2021-02-15 [1] CRAN (R 4.0.4)
#> magrittr 2.0.1 2020-11-17 [1] CRAN (R 4.0.3)
#> pillar 1.6.1 2021-05-16 [1] CRAN (R 4.0.5)
#> pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.0.3)
#> ps 1.6.0 2021-02-28 [1] CRAN (R 4.0.5)
#> R6 2.5.0 2020-10-28 [1] CRAN (R 4.0.3)
#> readr * 1.4.0 2020-10-05 [1] CRAN (R 4.0.5)
#> reprex 2.0.0 2021-04-02 [1] CRAN (R 4.0.5)
#> rlang 0.4.11.9000 2021-05-29 [1] Github (r-lib/rlang@7797cdf)
#> rmarkdown 2.8.1 2021-05-07 [1] Github (rstudio/rmarkdown@e98207f)
#> rstudioapi 0.13 2020-11-12 [1] CRAN (R 4.0.3)
#> sessioninfo 1.1.1 2018-11-05 [1] CRAN (R 4.0.3)
#> stringi 1.5.3 2020-09-09 [1] CRAN (R 4.0.3)
#> stringr 1.4.0 2019-02-10 [1] CRAN (R 4.0.3)
#> tibble 3.1.2 2021-05-16 [1] CRAN (R 4.0.5)
#> utf8 1.2.1 2021-03-12 [1] CRAN (R 4.0.3)
#> vctrs 0.3.8 2021-04-29 [1] CRAN (R 4.0.3)
#> withr 2.4.2 2021-04-18 [1] CRAN (R 4.0.5)
#> xfun 0.22 2021-03-11 [1] CRAN (R 4.0.5)
#> yaml 2.2.1 2020-02-01 [1] CRAN (R 4.0.3)
#>
#> [1] C:/Users/Albert/Documents/R/win-library/4.0
#> [2] C:/Program Files/R/R-4.0.5/libraryCreated on 2021-06-10 by the reprex package (v2.0.0)