Read a list from its on-disk representation.
This is usually not directly called by users, but is instead called by dispatch in readObject.
readBaseList(path, metadata, simple_list.parallel = TRUE, ...)String containing a path to a directory, itself created with the list method for stageObject.
Named list containing metadata for the object, see readObjectFile for details.
Whether to perform reading and parsing in parallel for greater speed. Only relevant for lists stored in the JSON format.
Further arguments to be passed to altReadObject for complex child objects.
The list represented by path.
The uzuki2 specification (see https://github.com/ArtifactDB/uzuki2) allows length-1 vectors to be stored as-is or as a scalar.
If the file stores a length-1 vector as-is, readBaseList will read the list element as a length-1 vector with the AsIs class.
If the file stores a length-1 vector as a scalar, readBaseList will read the list element as a length-1 vector without this class.
This allows downstream users to distinguish between the storage modes in the rare cases that it is necessary.
"stageObject,list-method", for the staging method.
library(S4Vectors)
ll <- list(A=1, B=LETTERS, C=DataFrame(X=letters))
tmp <- tempfile()
saveObject(ll, tmp)
readObject(tmp)
#> $A
#> [1] 1
#>
#> $B
#> [1] "A" "B" "C" "D" "E" "F" "G" "H" "I" "J" "K" "L" "M" "N" "O" "P" "Q" "R" "S"
#> [20] "T" "U" "V" "W" "X" "Y" "Z"
#>
#> $C
#> DataFrame with 26 rows and 1 column
#> X
#> <character>
#> 1 a
#> 2 b
#> 3 c
#> 4 d
#> 5 e
#> ... ...
#> 22 v
#> 23 w
#> 24 x
#> 25 y
#> 26 z
#>