R Under development (unstable) (2024-01-07 r85787 ucrt) -- "Unsuffered Consequences"
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> if (require(RUnit)) {
+   library(Matrix)
+   library(FeatureHashing)
+   contr <- list(
+     Plant = contrasts(CO2$Plant, contrasts = FALSE),
+     Type = contrasts(CO2$Type, contrasts = FALSE),
+     Treatment = contrasts(CO2$Treatment, contrasts = FALSE)
+     )
+   m1 <- sparse.model.matrix(~ ., CO2, contr, transpose = TRUE)
+   m2 <- m1
+   class(m2) <- "CSCMatrix"
+   
+   r1 <- as.vector(m1[1,])
+   r2 <- FeatureHashing:::.selectRow(m1, 1)
+   checkTrue(isTRUE(all.equal(r1, r2)),
+             "The result of C++ .selectRow is incorrect")
+   r3 <- m2[1.0, ]
+   checkTrue(isTRUE(all.equal(r1, r3)),
+             "The result of operator `[` is incorrect at first argument")
+   
+   r1 <- as.vector(m1[,1])
+   r2 <- FeatureHashing:::.selectColumn(m1, 1)
+   checkTrue(isTRUE(all.equal(r1, r2)),
+             "The result of C++ .selectColumn is incorrect")
+   r3 <- m2[,1]
+   checkTrue(isTRUE(all.equal(r1, r3)),
+             "The result of `[` is incorrect at second argument")
+   
+   for(i in 1:10) {
+     j <- sample(1:nrow(m1), 1)
+     r1 <- as.vector(m1[j,])
+     r2 <- FeatureHashing:::.selectRow(m1, j)
+     checkTrue(isTRUE(all.equal(r1, r2)),
+               "The result of C++ .selectRow is incorrect")
+     r3 <- m2[j,]
+     checkTrue(isTRUE(all.equal(r1, r3)),
+               "The result of operator `[` is incorrect at first argument")
+     
+     j <- sample(1:ncol(m1), 1)
+     r1 <- as.vector(m1[,j])
+     r2 <- FeatureHashing:::.selectColumn(m1, j)
+     checkTrue(isTRUE(all.equal(r1, r2)),
+               "The result of C++ .selectColumn is incorrect")
+     r3 <- m2[,j]
+     checkTrue(isTRUE(all.equal(r1, r3)),
+               "The result of `[` is incorrect at second argument")
+   }
+   
+   r1 <- as.matrix(m1[1:2,])
+   attr(r1, "dimnames") <- NULL
+   r2 <- FeatureHashing:::.selectRow(m1, 1:2)
+   checkTrue(isTRUE(all.equal(r1, r2)))
+   m2 <- m1
+   class(m2) <- "CSCMatrix"
+   r3 <- m2[1:2, drop = FALSE]
+   checkTrue(isTRUE(all.equal(r1, local({
+     retval <- as(as(r3, "dgCMatrix"), "matrix")
+     attr(retval, "dimnames") <- NULL
+     retval
+   }))))
+   checkTrue(isTRUE(all.equal(r1, as(r3, "matrix"))))
+   r4 <- m2[1:2,]
+   checkTrue(isTRUE(all.equal(r1, r4)))
+   
+   r1 <- as.matrix(m1[,1:2])
+   attr(r1, "dimnames") <- NULL
+   r2 <- FeatureHashing:::.selectColumn(m1, 1:2)
+   checkTrue(isTRUE(all.equal(r1, r2)))
+   r3 <- m2[, 1:2, drop = FALSE]
+   checkTrue(isTRUE(all.equal(r1, local({
+     retval <- as(as(r3, "dgCMatrix"), "matrix")
+     attr(retval, "dimnames") <- NULL
+     retval
+   }))))
+   checkTrue(isTRUE(all.equal(r1, as(r3, "matrix"))))
+   r4 <- m2[,1:2]
+   checkTrue(isTRUE(all.equal(r1, r4)))
+   
+   
+   r1 <- as.matrix(m1[i.set <- c(1, 3, 4, 16, 9),])
+   attr(r1, "dimnames") <- NULL
+   r2 <- FeatureHashing:::.selectRow(m1, i.set)
+   checkTrue(isTRUE(all.equal(r1, r2)))
+   r3 <- m2[i.set, drop = FALSE]
+   checkTrue(isTRUE(all.equal(r1, local({
+     retval <- as(as(r3, "dgCMatrix"), "matrix")
+     attr(retval, "dimnames") <- NULL
+     retval
+   }))))
+   checkTrue(isTRUE(all.equal(r1, as(r3, "matrix"))))
+   r4 <- m2[i.set,]
+   checkTrue(isTRUE(all.equal(r1, r4)))
+   
+   r1 <- as.matrix(m1[, j.set <- c(1, 3, 4, 16, 9)])
+   attr(r1, "dimnames") <- NULL
+   r2 <- FeatureHashing:::.selectColumn(m1, j.set)
+   checkTrue(isTRUE(all.equal(r1, r2)))
+   r3 <- m2[, j.set, drop = FALSE]
+   checkTrue(isTRUE(all.equal(r1, local({
+     retval <- as(as(r3, "dgCMatrix"), "matrix")
+     attr(retval, "dimnames") <- NULL
+     retval
+   }))))
+   checkTrue(isTRUE(all.equal(r1, as(r3, "matrix"))))
+   r4 <- m2[,j.set]
+   checkTrue(isTRUE(all.equal(r1, r4)))
+   
+ }
Loading required package: RUnit
[1] TRUE
> 
> proc.time()
   user  system elapsed 
   1.51    0.28    1.76