Nothing
test_that("sparseMatrix", {
skip_if_not_installed("Matrix")
expect_snapshot({
# dgCMatrix
construct(Matrix::sparseMatrix(i = c(1, 3), j = c(2, 3), x = c(1.5, 2), dims = c(3, 4)))
construct(
Matrix::sparseMatrix(i = c(1, 3), j = c(2, 3), x = c(1.5, 2), dims = c(3, 4)),
opts_sparseMatrix("next")
)
# dgTMatrix, dgRMatrix
construct(Matrix::sparseMatrix(i = c(3, 1), j = c(1, 2), x = c(1, 2), dims = c(3, 3), repr = "T"))
construct(Matrix::sparseMatrix(i = c(1, 3), j = c(2, 3), x = c(1.5, 2), dims = c(3, 4), repr = "R"))
# lgCMatrix, ngCMatrix
construct(Matrix::sparseMatrix(i = c(1, 3), j = c(2, 3), x = c(TRUE, NA), dims = c(3, 4)))
construct(Matrix::sparseMatrix(i = c(1, 3), j = c(2, 3), dims = c(3, 4)))
# dsCMatrix, dtCMatrix
construct(Matrix::sparseMatrix(i = c(1, 2), j = c(2, 3), x = c(1.5, 2), dims = c(3, 3), symmetric = TRUE))
construct(Matrix::sparseMatrix(i = c(2, 3), j = c(1, 2), x = c(1.5, 2), dims = c(3, 3), triangular = TRUE))
# dimnames, empty
construct(Matrix::sparseMatrix(
i = 1, j = 2, x = 3, dims = c(2, 2), dimnames = list(c("a", "b"), c("A", "B"))
))
construct(Matrix::sparseMatrix(i = integer(0), j = integer(0), x = numeric(0), dims = c(0, 0)))
# unit triangular matrices can't be built by `sparseMatrix()`, we fall back
construct(Matrix::diagN2U(Matrix::sparseMatrix(i = 1:2, j = 1:2, x = 1, triangular = TRUE)))
# attributes to repair
x <- Matrix::sparseMatrix(i = c(1, 3), j = c(2, 3), x = c(1.5, 2), dims = c(3, 4))
attr(x, "foo") <- "bar"
construct(x)
})
})
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