data frame printing and overwriting methods for greta arrays

[njtierney]

A few things:

• When you put a greta array inside a tibble, it has a funky print method
• a greta array inside a tibble can be pulled out and is still a greta array
• a greta array in a data.frame prints NA
• a greta array inside data.frame gets its class stripped off of it

library(tibble)
library(greta)
#> 
#> Attaching package: 'greta'
#> The following objects are masked from 'package:stats':
#> 
#>     binomial, cov2cor, poisson
#> The following objects are masked from 'package:base':
#> 
#>     %*%, apply, backsolve, beta, chol2inv, colMeans, colSums, diag,
#>     eigen, forwardsolve, gamma, identity, rowMeans, rowSums, sweep,
#>     tapply
ihr_car_ratio <- greta::uniform(0,1)
#> ℹ Initialising python and checking dependencies, this may take a moment.
#> ✔ Initialising python and checking dependencies ... done!
#> 

ihr_car_ratio
#> greta array (variable following a uniform distribution)
#> 
#>      [,1]
#> [1,]  ?

greta_tbl <- tibble(
    x = 1:5,
    car_ratio = ihr_car_ratio
)

greta_df <- data.frame(
    x = 1:5,
    car_ratio = ihr_car_ratio
)

greta_tbl
#> # A tibble: 5 × 2
#>       x car_ratio[,1] 
#>   <int> <gret_rry[,1]>
#> 1     1 NA            
#> 2     2 car_ratio[,1] 
#> 3     3 <gret_rry[,1]>
#> 4     4 NA            
#> 5     5 car_ratio[,1]
greta_df
#>   x car_ratio
#> 1 1        NA
#> 2 2        NA
#> 3 3        NA
#> 4 4        NA
#> 5 5        NA

greta_tbl$car_ratio
#> greta array (variable following a uniform distribution)
#> 
#>      [,1]
#> [1,]  ?
greta_df$car_ratio
#> [1] NA NA NA NA NA

^{Created on 2024-04-30 with reprex v2.1.0}

Session info

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[njtierney]

This issue will require, I think, rewriting the greta array classes with a vctr class, https://vctrs.r-lib.org/articles/s3-vector.html, which overall I think might simplify some things, but will actually be a reasonably complex fix.

See an example of using vctrs with rray here: https://github.com/r-lib/rray/blob/main/R/rray.R#L67-L81