adding a theme to gt object inflates output html file size unreasonably

[salupere]

Description

When using gt_theme function inside quarto/rmardown html knitted document, adding theme to each table increases final html file size about 7 megabytes. Without theme the below example woul be around 1 MB, theme adds 7MB. Therefore longer reports (with tens of tables) would be rendered unportable.

Reproducible example

library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
library(gt)
library(gtExtras)


tibble(
  Column1 = c(1, 2, 3, 4, 5),
  Column2 = c('A', 'B', 'C', 'D', 'E'),
  Column3 = c(TRUE, FALSE, TRUE, FALSE, TRUE)) %>% 
gt() %>% 
gt_theme_nytimes()  

^{Created on 2024-10-08 with reprex v2.1.1}

Session info

sessionInfo()
#> R version 4.4.1 (2024-06-14)
#> Platform: x86_64-pc-linux-gnu
#> Running under: Ubuntu 24.04.1 LTS
#> 
#> Matrix products: default
#> BLAS:   /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.12.0 
#> LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.12.0
#> 
#> locale:
#>  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
#>  [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8    
#>  [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
#>  [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 
#>  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
#> [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       
#> 
#> time zone: Europe/Tallinn
#> tzcode source: system (glibc)
#> 
#> attached base packages:
#> [1] stats     graphics  grDevices utils     datasets  methods   base     
#> 
#> loaded via a namespace (and not attached):
#>  [1] digest_0.6.37     fastmap_1.2.0     xfun_0.47         glue_1.8.0       
#>  [5] knitr_1.48        htmltools_0.5.8.1 rmarkdown_2.28    lifecycle_1.0.4  
#>  [9] cli_3.6.3         reprex_2.1.1      withr_3.0.1       compiler_4.4.1   
#> [13] rstudioapi_0.16.0 tools_4.4.1       evaluate_1.0.0    yaml_2.3.10      
#> [17] rlang_1.1.4       fs_1.6.4