Nothing
# Create some data frames
x <- y <- data.frame(
x1 = 1L:5L, # integer
x2 = c(1.1, 2.1, 3.1, 4.1, 5.1), # numeric
x3 = c(TRUE, TRUE, FALSE, TRUE, FALSE), # logical
x4 = factor(c("A", "B", "A", "B", "B")), # nominal factor
x5 = ordered(c("low", "medium", "medium", "low", "high"), # ordered factor
levels = c("low", "medium", "high"))
)
z1 <- data.frame(
x1 = c("1", "2"),
x2 = c("1.1", "4.1"),
x3 = c("TRUE", "FALSE"),
x4 = c("A", "A"),
x5 = c("high", "low")
)
z2 <- fastshap:::copy_classes(z1, y)
# Generate logical matrix for subsetting
o <- matrix(sample(c(TRUE, FALSE), size = 25, replace = TRUE), nrow = 5)
# Swap values
x[o] <- y[o]
# Expectations
expect_false(identical(x, y))
expect_identical(fastshap:::copy_classes(x, y), y)
expect_identical(sapply(z2, FUN = class), sapply(y, FUN = class))
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