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### =========================================================================
### 'Compare' operations on NaArray objects
### -------------------------------------------------------------------------
###
### 'Compare' operations: "==", "!=", "<=", ">=", "<", ">"
###
### See '?S4groupGeneric' for more information.
###
### Supports all 'Compare' ops: "==", "!=", "<=", ">=", "<", ">"
### Returns a "logical" NaArray object.
.Compare_NaSVT1_v2 <- function(op, x, y)
{
stopifnot(isSingleString(op), is(x, "NaArray"))
check_svt_version(x)
## Check types.
x_type <- type(x)
check_Compare_input_type(x_type, "NaArray object")
if (!(type(y) %in% COMPARE_INPUT_TYPES))
stop(wmsg("comparison operations between NaArray objects ",
"and ", class(y), " vectors are not supported"))
check_Compare_op_on_complex_vals(op, x_type, type(y))
## Check 'y'.
if (length(y) != 1L)
stop(wmsg("comparison operations are not supported between an ",
"NaArray object and a vector of length != 1"))
biggest_type <- type(c(vector(x_type), y))
type(y) <- biggest_type
## Handle situations where we need to change the type() of 'x' to
## the type() of 'y'. This is possibly expensive so we do it only
## after all the above checks have passed.
if (must_homogenize_for_Compare(type(x), type(y)))
type(x) <- type(y)
## 'type(y)' is guaranteed to be the same as 'type(x)' or a "bigger" type,
## considering raw < logical < integer < double < complex < character.
new_NaSVT <- SparseArray.Call("C_Compare_SVT1_v2",
x@dim, x@type, x@NaSVT, TRUE, y, op)
BiocGenerics:::replaceSlots(x, type="logical", NaSVT=new_NaSVT, check=FALSE)
}
setMethod("Compare", c("NaArray", "vector"),
function(e1, e2) .Compare_NaSVT1_v2(.Generic, e1, e2)
)
setMethod("Compare", c("vector", "NaArray"),
function(e1, e2) .Compare_NaSVT1_v2(flip_Compare_op(.Generic), e2, e1)
)
### Supports all 'Compare' ops: "==", "!=", "<=", ">=", "<", ">"
### Returns a "logical" NaArray object.
.Compare_NaSVT1_NaSVT2 <- function(op, x, y)
{
stopifnot(isSingleString(op), is(x, "NaArray"), is(y, "NaArray"))
check_svt_version(x)
check_svt_version(y)
## Check types.
check_Compare_input_type(type(x), "NaArray object")
check_Compare_input_type(type(y), "NaArray object")
check_Compare_op_on_complex_vals(op, type(x), type(y))
## Check array conformability.
x_dim <- dim(x)
y_dim <- dim(y)
if (!identical(x_dim, y_dim))
stop(wmsg("non-conformable arrays"))
## Compute 'ans_dimnames'.
ans_dimnames <- S4Arrays:::get_first_non_NULL_dimnames(list(x, y))
## Homogenization is possibly expensive so we do it only after all
## the above checks have passed.
if (must_homogenize_for_Compare(type(x), type(y)))
type(x) <- type(y) <- type(c(vector(type(x)), vector(type(y))))
ans_NaSVT <- SparseArray.Call("C_Compare_SVT1_SVT2",
x_dim, x@type, x@NaSVT, TRUE,
y_dim, y@type, y@NaSVT, TRUE, op)
new_NaArray(x_dim, ans_dimnames, "logical", ans_NaSVT, check=FALSE)
}
setMethod("Compare", c("NaArray", "NaArray"),
function(e1, e2) .Compare_NaSVT1_NaSVT2(.Generic, e1, e2)
)
setMethod("Compare", c("NaArray", "array"),
function(e1, e2) .Compare_NaSVT1_NaSVT2(.Generic, e1, as(e2, "NaArray"))
)
setMethod("Compare", c("array", "NaArray"),
function(e1, e2) .Compare_NaSVT1_NaSVT2(.Generic, as(e1, "NaArray"), e2)
)
### Supports all 'Compare' ops: "==", "!=", "<=", ">=", "<", ">"
### Returns a "logical" NaArray object.
.Compare_NaSVT1_SVT2 <- function(op, x, y)
{
stopifnot(isSingleString(op), is(x, "NaArray"), is(y, "SVT_SparseArray"))
check_svt_version(x)
check_svt_version(y)
## Check types.
check_Compare_input_type(type(x), "NaArray object")
check_Compare_input_type(type(y), "SparseArray object")
check_Compare_op_on_complex_vals(op, type(x), type(y))
## Check array conformability.
x_dim <- dim(x)
y_dim <- dim(y)
if (!identical(x_dim, y_dim))
stop(wmsg("non-conformable arrays"))
## Compute 'ans_dimnames'.
ans_dimnames <- S4Arrays:::get_first_non_NULL_dimnames(list(x, y))
## Homogenization is possibly expensive so we do it only after all
## the above checks have passed.
if (must_homogenize_for_Compare(type(x), type(y)))
type(x) <- type(y) <- type(c(vector(type(x)), vector(type(y))))
ans_NaSVT <- SparseArray.Call("C_Compare_SVT1_SVT2",
x_dim, x@type, x@NaSVT, TRUE,
y_dim, y@type, y@SVT, FALSE, op)
new_NaArray(x_dim, ans_dimnames, "logical", ans_NaSVT, check=FALSE)
}
### Supports all 'Compare' ops: "==", "!=", "<=", ">=", "<", ">"
### Returns a "logical" NaArray object.
.Compare_SVT1_NaSVT2 <- function(op, x, y)
{
stopifnot(isSingleString(op), is(x, "SVT_SparseArray"), is(y, "NaArray"))
check_svt_version(x)
check_svt_version(y)
## Check types.
check_Compare_input_type(type(x), "SparseArray object")
check_Compare_input_type(type(y), "NaArray object")
check_Compare_op_on_complex_vals(op, type(x), type(y))
## Check array conformability.
x_dim <- dim(x)
y_dim <- dim(y)
if (!identical(x_dim, y_dim))
stop(wmsg("non-conformable arrays"))
## Compute 'ans_dimnames'.
ans_dimnames <- S4Arrays:::get_first_non_NULL_dimnames(list(x, y))
## Homogenization is possibly expensive so we do it only after all
## the above checks have passed.
if (must_homogenize_for_Compare(type(x), type(y)))
type(x) <- type(y) <- type(c(vector(type(x)), vector(type(y))))
ans_NaSVT <- SparseArray.Call("C_Compare_SVT1_SVT2",
x_dim, x@type, x@SVT, FALSE,
y_dim, y@type, y@NaSVT, TRUE, op)
new_NaArray(x_dim, ans_dimnames, "logical", ans_NaSVT, check=FALSE)
}
setMethod("Compare", c("NaArray", "SVT_SparseArray"),
function(e1, e2) .Compare_NaSVT1_SVT2(.Generic, e1, e2)
)
setMethod("Compare", c("SVT_SparseArray", "NaArray"),
function(e1, e2) .Compare_SVT1_NaSVT2(.Generic, e1, e2)
)
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