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new_DelayedNaryIsoOp <- DelayedArray:::new_DelayedNaryIsoOp
.TEST_DIM2 <- c(5L, 6L)
.TEST_ARRAY2b <- array(FALSE, .TEST_DIM2)
.TEST_ARRAY2b[c(2:3, 12:22, 30)] <- TRUE
.TEST_SVT2b <- as(.TEST_ARRAY2b, "SVT_SparseArray")
.TEST_ARRAY2c <- array(FALSE, .TEST_DIM2)
.TEST_ARRAY2c[c(8:16, 21)] <- TRUE
.TEST_SVT2c <- as(.TEST_ARRAY2c, "SVT_SparseArray")
.TEST_DIM4 <- c(6L, 10L, 3L, 2L)
.TEST_ARRAY4a <- array(seq_len(prod(.TEST_DIM4)), .TEST_DIM4,
dimnames=list(NULL,
NULL,
c("z1", "z2", "z3"),
c("a1", "a2")))
set.seed(99L)
.TEST_ARRAY4b <- array(runif(prod(.TEST_DIM4)), .TEST_DIM4,
dimnames=list(NULL,
LETTERS[1:10],
NULL,
c("b1", "b2")))
.TEST_SVT4c <- SVT_SparseArray(dim=.TEST_DIM4)
.TEST_SVT4c[51:130] <- 51:130
.TEST_ARRAY4c <- as.array(.TEST_SVT4c)
.TEST_SVT4d <- SVT_SparseArray(dim=.TEST_DIM4)
.TEST_SVT4d[11:110] <- runif(100, max=150)
.TEST_ARRAY4d <- as.array(.TEST_SVT4d)
.basic_checks_on_DelayedOp_with_DIM2 <- function(a, x)
{
## We use suppressWarnings() to suppress the warnings that some
## calls to extract_array() could generate on some particular
## DelayedOp objects. For example on a DelayedUnaryIsoOpStack object
## with the log() function in its OPS stack and negative array elements
## in its seed. These warnings are expected but annoying in the context
## of unit tests.
checkIdentical(dim(a), dim(x))
checkIdentical(dimnames(a), dimnames(x))
checkIdentical(a, suppressWarnings(as.array(x)))
i2 <- c(1:2, 6:2, 2:1)
current <- suppressWarnings(extract_array(x, list(5:2, i2)))
checkIdentical(unname(a[5:2, i2]), unname(current))
current <- suppressWarnings(extract_array(x, list(5:2, NULL)))
checkIdentical(unname(a[5:2, ]), unname(current))
current <- suppressWarnings(extract_array(x, list(5:2, 2L)))
checkIdentical(unname(a[5:2, 2L, drop=FALSE]), unname(current))
current <- suppressWarnings(extract_array(x, list(5:2, integer(0))))
checkIdentical(unname(a[5:2, integer(0)]), unname(current))
}
.basic_checks_on_DelayedOp_with_DIM4 <- function(a, x)
{
checkIdentical(dim(a), dim(x))
checkIdentical(dimnames(a), dimnames(x))
checkIdentical(a, as.array(x))
i1 <- c(3:6, 1L)
current <- extract_array(x, list(i1, 6:5, NULL, 2:1))
checkIdentical(unname(a[i1, 6:5, , 2:1]),
unname(current))
current <- extract_array(x, list(i1, c(6:5, 6L), NULL, 2:1))
checkIdentical(unname(a[i1, c(6:5, 6L), , 2:1]),
unname(current))
current <- extract_array(x, list(i1, c(6:5, 6L), 3L, 2:1))
checkIdentical(unname(a[i1, c(6:5, 6L), 3L, 2:1, drop=FALSE]),
unname(current))
current <- extract_array(x, list(i1, c(6:5, 6L), integer(0), 2:1))
checkIdentical(unname(a[i1, c(6:5, 6L), integer(0), 2:1]),
unname(current))
}
### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
### test_* functions
###
test_DelayedNaryIsoOp_constructor <- function(silent=FALSE)
{
## We also test nseed(), seed(), and is_noop()
x <- new_DelayedNaryIsoOp()
checkTrue(is(x, "DelayedNaryIsoOp"))
checkTrue(validObject(x))
checkIdentical(1L, nseed(x))
checkException(seed(x), silent=silent)
checkIdentical(identity, x@OP)
checkIdentical(list(new("array")), x@seeds)
checkIdentical(list(), x@Rargs)
checkException(is_noop(x), silent=silent)
x <- new_DelayedNaryIsoOp("/", .TEST_ARRAY4a, .TEST_SVT4c)
checkTrue(is(x, "DelayedNaryIsoOp"))
checkTrue(validObject(x))
checkIdentical(2L, nseed(x))
checkException(seed(x), silent=silent)
checkIdentical(`/`, x@OP)
checkIdentical(list(.TEST_ARRAY4a, .TEST_SVT4c), x@seeds)
checkIdentical(list(), x@Rargs)
checkException(is_noop(x), silent=silent)
OP <- function(a1, a2, a3) (a1 + a2 + a3) / 3 # ternary mean
x <- new_DelayedNaryIsoOp(OP, .TEST_ARRAY4a, .TEST_ARRAY4b, .TEST_SVT4c)
checkTrue(is(x, "DelayedNaryIsoOp"))
checkTrue(validObject(x))
checkIdentical(3L, nseed(x))
checkException(seed(x), silent=silent)
checkIdentical(OP, x@OP)
checkIdentical(list(.TEST_ARRAY4a, .TEST_ARRAY4b, .TEST_SVT4c), x@seeds)
checkIdentical(list(), x@Rargs)
checkException(is_noop(x), silent=silent)
## Two alternate ways to represent the above DelayedNaryIsoOp.
OP <- function(a1, a2, a3, d=3) (a1 + a2 + a3) / d
x <- new_DelayedNaryIsoOp(OP, .TEST_ARRAY4a, .TEST_ARRAY4b, .TEST_SVT4c)
checkTrue(is(x, "DelayedNaryIsoOp"))
checkTrue(validObject(x))
checkIdentical(3L, nseed(x))
checkException(seed(x), silent=silent)
checkIdentical(OP, x@OP)
checkIdentical(list(.TEST_ARRAY4a, .TEST_ARRAY4b, .TEST_SVT4c), x@seeds)
checkIdentical(list(), x@Rargs)
checkException(is_noop(x), silent=silent)
OP <- function(a1, a2, a3, d) (a1 + a2 + a3) / d
Rargs <- list(d=3)
x <- new_DelayedNaryIsoOp(OP, .TEST_ARRAY4a, .TEST_ARRAY4b, .TEST_SVT4c,
Rargs=Rargs)
checkTrue(is(x, "DelayedNaryIsoOp"))
checkTrue(validObject(x))
checkIdentical(3L, nseed(x))
checkException(seed(x), silent=silent)
checkIdentical(OP, x@OP)
checkIdentical(list(.TEST_ARRAY4a, .TEST_ARRAY4b, .TEST_SVT4c), x@seeds)
checkIdentical(Rargs, x@Rargs)
checkException(is_noop(x), silent=silent)
checkException(new_DelayedNaryIsoOp(NULL),
silent=silent)
checkException(new_DelayedNaryIsoOp(list(NULL)),
silent=silent)
checkException(new_DelayedNaryIsoOp("not-an-existing-function"),
silent=silent)
checkException(new_DelayedNaryIsoOp("<=", array(dim=4:2), array(dim=2:4)),
silent=silent)
}
test_DelayedNaryIsoOp_API <- function()
{
## 1. Unary op
OP1 <- function(a) 1 / (log(a)^2 + 1)
x1 <- new_DelayedNaryIsoOp(OP1, .TEST_SVT4c)
a1 <- OP1(.TEST_ARRAY4c)
.basic_checks_on_DelayedOp_with_DIM4(a1, x1)
checkTrue(is_sparse(x1))
## 2. Binary op
x2 <- new_DelayedNaryIsoOp(`/`, .TEST_ARRAY4a, .TEST_SVT4c)
a2 <- .TEST_ARRAY4a / .TEST_ARRAY4c
.basic_checks_on_DelayedOp_with_DIM4(a2, x2)
checkIdentical(FALSE, is_sparse(x2))
## 3. Ternary op with right args
## Ternary array sum with weights on the 2nd and 3rd arrays (weights
## should be single values)
OP3 <- function(a1, a2, a3, w2, w3) a1 + w2*a2 + w3*a3
Rargs3 <- list(w2=0.5, w3=100L)
x3 <- new_DelayedNaryIsoOp(OP3, .TEST_ARRAY4a, .TEST_ARRAY4b, .TEST_SVT4c,
Rargs=Rargs3)
a3 <- OP3(.TEST_ARRAY4a, .TEST_ARRAY4b, .TEST_ARRAY4c, w2=0.5, w3=100L)
.basic_checks_on_DelayedOp_with_DIM4(a3, x3)
checkIdentical(FALSE, is_sparse(x3))
## 4-11. "Ops" group generics with propagation of structural sparsity
x4 <- new_DelayedNaryIsoOp("+", .TEST_SVT4c, .TEST_SVT4d)
a4 <- .TEST_ARRAY4c + .TEST_ARRAY4d
.basic_checks_on_DelayedOp_with_DIM4(a4, x4)
checkTrue(is_sparse(x4))
x5 <- new_DelayedNaryIsoOp("-", .TEST_SVT4c, .TEST_SVT4d)
a5 <- .TEST_ARRAY4c - .TEST_ARRAY4d
.basic_checks_on_DelayedOp_with_DIM4(a5, x5)
checkTrue(is_sparse(x5))
x6 <- new_DelayedNaryIsoOp("*", .TEST_SVT4c, .TEST_SVT4d)
a6 <- .TEST_ARRAY4c * .TEST_ARRAY4d
.basic_checks_on_DelayedOp_with_DIM4(a6, x6)
checkTrue(is_sparse(x6))
x7 <- new_DelayedNaryIsoOp(">", .TEST_SVT4c, .TEST_SVT4d)
a7 <- .TEST_ARRAY4c > .TEST_ARRAY4d
.basic_checks_on_DelayedOp_with_DIM4(a7, x7)
checkTrue(is_sparse(x7))
x8 <- new_DelayedNaryIsoOp("<", .TEST_SVT4c, .TEST_SVT4d)
a8 <- .TEST_ARRAY4c < .TEST_ARRAY4d
.basic_checks_on_DelayedOp_with_DIM4(a8, x8)
checkTrue(is_sparse(x8))
x9 <- new_DelayedNaryIsoOp("!=", .TEST_SVT4c, .TEST_SVT4d)
a9 <- .TEST_ARRAY4c != .TEST_ARRAY4d
.basic_checks_on_DelayedOp_with_DIM4(a9, x9)
checkTrue(is_sparse(x9))
x10 <- new_DelayedNaryIsoOp("&", .TEST_SVT2b, .TEST_SVT2c)
a10 <- .TEST_ARRAY2b & .TEST_ARRAY2c
.basic_checks_on_DelayedOp_with_DIM2(a10, x10)
checkTrue(is_sparse(x10))
x11 <- new_DelayedNaryIsoOp("|", .TEST_SVT2b, .TEST_SVT2c)
a11 <- .TEST_ARRAY2b | .TEST_ARRAY2c
.basic_checks_on_DelayedOp_with_DIM2(a11, x11)
checkTrue(is_sparse(x11))
## 12. "pmax2" with propagation of structural sparsity
# TODO
## 13. "pmin2" with propagation of structural sparsity
# TODO
}
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