1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
|
#### Testing consistency of "abIndex" == "abstract-indexing vectors" class :
## for R_DEFAULT_PACKAGES=NULL :
library(stats)
library(utils)
library(Matrix)
source(system.file("test-tools.R", package = "Matrix"))# identical3() etc
validObject(ab <- new("abIndex"))
str(ab)
set.seed(1)
ex. <- list(2:1000, 0:10, sample(100), c(-3:40, 20:70),
c(1:100,77L, 50:40, 10L), c(17L, 3L*(12:3)))
## we know which kinds will come out: "compressed" for all but random:
rD <- "rleDiff"; kinds <- c(rD,rD,"int32", rD, rD, rD)
isCmpr <- kinds == rD
ab. <- lapply(ex., as, Class = "abIndex")
nu. <- lapply(ab., as, Class = "numeric")
in. <- lapply(ab., as, Class = "integer")
rles <- lapply(ab.[isCmpr], function(u) u@rleD@rle)
r.x <- lapply(ex.[isCmpr], function(.) rle(diff(.)))
stopifnot(sapply(ab., validObject),
identical(ex., nu.),
identical(ex., in.),
## Check that the relevant cases really *are* "compressed":
sapply(ab., slot, "kind") == kinds,
## Using rle(diff(.)) is equivalent to using our C code:
identical(rles, r.x),
## Checking Group Methods - "Summary" :
sapply(ab., range) == sapply(ex., range),
sapply(ab., any) == sapply(ex., any),
TRUE)
## testing c() method, i.e. currently c.abIndex():
tst.c.abI <- function(lii) {
stopifnot(is.list(lii),
all(unlist(lapply(lii, mode)) == "numeric"))
aii <- lapply(lii, as, "abIndex")
v.i <- do.call(c, lii)
a.i <- do.call(c, aii)
avi <- as(v.i, "abIndex")
## identical() is too hard, as values & lengths can be double/integer
stopifnot(all.equal(a.i, avi, tolerance = 0))
}
tst.c.abI(list(2:6, 70:50, 5:-2))
## now an example where *all* are uncompressed:
tst.c.abI(list(c(5, 3, 2, 4, 7, 1, 6), 3:4, 1:-1))
## and one with parts that are already non-trivial:
exc <- ex.[isCmpr]
tst.c.abI(exc)
set.seed(101)
N <- length(exc) # 5
for(i in 1:10) {
tst.c.abI(exc[sample(N, replace=TRUE)])
tst.c.abI(exc[sample(N, N-1)])
tst.c.abI(exc[sample(N, N-2)])
}
for(n in 1:120) {
cat(".")
k <- 1 + 4*rpois(1, 5) # >= 1
## "random" rle -- NB: consecutive values *must* differ (for uniqueness)
v <- as.integer(1+ 10*rnorm(k))
while(any(dv <- duplicated(v)))
v[dv] <- v[dv] + 1L
rl <- structure(list(lengths = as.integer(1 + rpois(k, 10)), values = v),
class = "rle")
ai <- new("abIndex", kind = "rleDiff",
rleD = new("rleDiff", first = rpois(1, 20), rle = rl))
validObject(ai)
ii <- as(ai, "numeric")
iN <- ii; iN[180] <- NA; aiN <- as(iN,"abIndex")
iN <- as(aiN, "numeric") ## NA from 180 on
stopifnot(is.numeric(ii), ii == round(ii),
identical(ai, as(ii, "abIndex")),
identical(is.na(ai), is.na(ii)),
identical(is.na(aiN), is.na(iN)),
identical(is.finite (aiN), is.finite(iN)),
identical(is.infinite(aiN), is.infinite(iN))
)
if(n %% 40 == 0) cat(n,"\n")
}
## we have : identical(lapply(ex., as, "abIndex"), ab.)
mkStr <- function(ch, n) paste(rep.int(ch, n), collapse="")
##O for(grMeth in getGroupMembers("Ops")) {
##O cat(sprintf("\n%s :\n%s\n", grMeth, mkStr("=", nchar(grMeth))))
grMeth <- "Arith"
for(ng in getGroupMembers(grMeth)) {
cat(ng, ": ")
G <- get(ng)
t.tol <- if(ng == "/") 1e-12 else 0
## "/" with no long double (e.g. on Sparc Solaris): 1.125e-14
AEq <- function(a,b, ...) assert.EQ(a, b, tol=t.tol, giveRE=TRUE)
for(v in ex.) {
va <- as(v, "abIndex")
for(s in list(-1, 17L, TRUE, FALSE)) # numeric *and* logical
if(!((identical(s, FALSE) && ng == "/"))) { ## division by 0 may "fail"
AEq(as(G(v, s), "abIndex"), G(va, s))
AEq(as(G(s, v), "abIndex"), G(s, va))
}
cat(".")
}
cat(" [Ok]\n")
}
##O }
## check the abIndex versions of indDiag() and indTri() :
for(n in 1:7) {
stopifnotValid(ii <- Matrix:::abIindDiag(n), "abIndex")
stopifnot(ii@kind == "rleDiff",
Matrix:::indDiag(n) == as(ii, "numeric"))
}
for(n in 0:7)
for(diag in c(TRUE,FALSE))
for(upper in c(TRUE,FALSE)) {
stopifnotValid(ii <- Matrix:::abIindTri(n, diag=diag,upper=upper), "abIndex")
if(n)
stopifnot(Matrix:::indTri(n, diag=diag,upper=upper) == as(ii, "numeric"),
allow.logical0=TRUE) # works also in R versions w/o it as formal argument
}
cat('Time elapsed: ', (.pt <- proc.time()),'\n') # "stats"
|
