I'm working on an R package for sparse matrix handling. It kinda works; here's a minimal example to set the stage for my question.
devtools::install_github("ekernf01/MatrixLazyEval", ref = "eef5593ad")
library(Matrix)
library(MatrixLazyEval)
data(CAex)
M = rbind(CAex, CAex)
M = matrix(stats::rnorm(prod(dim(M))), nrow = nrow(M))
M_lazy = AsLazyMatrix( M )
svd_lazy = RandomSVDLazyMatrix(M_lazy)
But, when I run even a minimal unit test, it breaks the package permanently (I have to restart my R session or reinstall the package). The immediate cause is that R can't find some S4 methods from packages I depend on (e.g. for matrix transpose t
or colSums
from the Matrix
package). I run the unit test like this:
devtools::test(filter = "minimal")
svd_lazy = RandomSVDLazyMatrix(M_lazy)
Here's the contents of the test files.
> cat tests/testthat.R
library(testthat)
testthat::test_check("MatrixLazyEval")
> cat tests/testthat/testthat_minimal.R
context("minimal")
Why does this happen? Maybe this is naive, but the unit test shouldn't even do anything.
EditPossibly related:
r - data.table and testthat package