SCM

SCM Repository

[matrix] Diff of /pkg/tests/indexing.R
ViewVC logotype

Diff of /pkg/tests/indexing.R

Parent Directory Parent Directory | Revision Log Revision Log | View Patch Patch

revision 1665, Fri Nov 3 23:18:07 2006 UTC revision 1725, Wed Jan 17 08:01:10 2007 UTC
# Line 1  Line 1 
1  #### For both 'Extract' ("[") and 'Replace' ("[<-") Method testing  ## For both 'Extract' ("[") and 'Replace' ("[<-") Method testing
2    
3  library(Matrix)  library(Matrix)
4    
# Line 6  Line 6 
6    
7  ### Dense Matrices  ### Dense Matrices
8    
9  m <- Matrix(1:28, nrow = 7)  m <- Matrix(1:28 +0, nrow = 7)
10  validObject(m) ; m@x <- as.double(m@x) ; validObject(m)  validObject(m)
11  stopifnot(identical(m, m[]),  stopifnot(identical(m, m[]),
12            identical(m[2, 3],  16), # simple number            identical(m[2, 3],  16), # simple number
13            identical(m[2, 3:4], c(16,23))) # simple numeric of length 2            identical(m[2, 3:4], c(16,23))) # simple numeric of length 2
# Line 44  Line 44 
44  m[, 1] <- -1  m[, 1] <- -1
45  m[1:3,]  m[1:3,]
46    
 ## testing operations on logical Matrices rather more than indexing:  
47  m. <- as.matrix(m)  m. <- as.matrix(m)
48    
49    ## m[ cbind(i,j) ] indexing:
50    ij <- cbind(1:6, 2:3)
51    stopifnot(identical(m[ij], m.[ij]))
52    
53    ## testing operations on logical Matrices rather more than indexing:
54  g10 <- m [ m > 10 ]  g10 <- m [ m > 10 ]
55  stopifnot(18 == length(g10))  stopifnot(18 == length(g10))
56  stopifnot(10 == length(m[ m <= 10 ]))  stopifnot(10 == length(m[ m <= 10 ]))
# Line 76  Line 81 
81  mC[1:2,]  mC[1:2,]
82  mC[7,  drop = FALSE]  mC[7,  drop = FALSE]
83  assert.EQ.mat(mC[1:2,], mm[1:2,])  assert.EQ.mat(mC[1:2,], mm[1:2,])
84  stopifnot(all.equal(mC[,3],   mm[,3]))  stopifnot(all.equal(mC[,3], mm[,3]),
85              identical(mC[ij], mm[ij]))
86  assert.EQ.mat(mC[7, , drop=FALSE], mm[7, , drop=FALSE])  assert.EQ.mat(mC[7, , drop=FALSE], mm[7, , drop=FALSE])
87    
88  stopifnot(dim(mC[numeric(0), ]) == c(0,20), # used to give warnings  stopifnot(dim(mC[numeric(0), ]) == c(0,20), # used to give warnings
# Line 102  Line 108 
108    
109  x.x <- crossprod(mC)  x.x <- crossprod(mC)
110  stopifnot(class(x.x) == "dsCMatrix",  stopifnot(class(x.x) == "dsCMatrix",
111            class(x.x. <- round(x.x / 10000)) == "dsCMatrix")            class(x.x. <- round(x.x / 10000)) == "dsCMatrix",
112              identical(x.x[cbind(2:6, 2:6)],
113                        diag(x.x [2:6, 2:6])))
114  head(x.x.) # Note the *non*-structural 0's printed as "0"  head(x.x.) # Note the *non*-structural 0's printed as "0"
115  tail(x.x., -3) # all but the first three lines  tail(x.x., -3) # all but the first three lines
116    
# Line 117  Line 125 
125            identical(as.mat(l3 ), m.x[1:3, ] != 0)            identical(as.mat(l3 ), m.x[1:3, ] != 0)
126            )            )
127    
128    ## used to fail
129    n <- 5 ## or much larger
130    sm <- new("dsTMatrix", i=as.integer(1),j=as.integer(1),
131              Dim=as.integer(c(n,n)), x = 1)
132    (cm <- as(sm, "CsparseMatrix"))
133    sm[2,]
134    stopifnot(sm[2,] == c(0:1, rep.int(0,ncol(sm)-2)),
135              sm[2,] == cm[2,],
136              sm[,3] == sm[3,],
137              all(sm[,-(1:3)] == t(sm[-(1:3),])), # all(<lge.>)
138              all(sm[,-(1:3)] == 0)
139              )
140    
141    ### Diagonal -- Sparse:
142    m0 <- Diagonal(5)
143    (m1 <- as(m0, "sparseMatrix"))  # dtTMatrix
144    (m2 <- as(m0, "CsparseMatrix")) # dtCMatrix (with an irrelevant warning)
145    
146    M <- m0; M[1,] <- 0
147    stopifnot(identical(M, Diagonal(x=c(0, rep(1,4)))))
148    M <- m0; M[,3] <- 3 ; M ; stopifnot(is(M, "sparseMatrix"), M[,3] == 3)
149    validObject(M)
150    M <- m0; M[1:3, 3] <- 0 ;M
151    T <- m0; T[1:3, 3] <- 10
152    stopifnot(identical(M, Diagonal(x=c(1,1, 0, 1,1))),
153              is(T, "triangularMatrix"), identical(T[,3], c(10,10,10,0,0)))
154    
155    M <- m1; M[1,] <- 0 ; M ; assert.EQ.mat(M, diag(c(0,rep(1,4))), tol=0)
156    M <- m1; M[,3] <- 3 ; stopifnot(is(M,"sparseMatrix"), M[,3] == 3)
157    validObject(M)
158    M <- m1; M[1:3, 3] <- 0 ;M
159    assert.EQ.mat(M, diag(c(1,1, 0, 1,1)), tol=0)
160    T <- m1; T[1:3, 3] <- 10; validObject(T)
161    stopifnot(is(T, "dtTMatrix"), identical(T[,3], c(10,10,10,0,0)))
162    
163    M <- m2; M[1,] <- 0 ; M ; assert.EQ.mat(M, diag(c(0,rep(1,4))), tol=0)
164    M <- m2; M[,3] <- 3 ; stopifnot(is(M,"sparseMatrix"), M[,3] == 3)
165    validObject(M)
166    M <- m2; M[1:3, 3] <- 0 ;M
167    assert.EQ.mat(M, diag(c(1,1, 0, 1,1)), tol=0)
168    T <- m2; T[1:3, 3] <- 10; validObject(T)
169    stopifnot(is(T, "dtCMatrix"), identical(T[,3], c(10,10,10,0,0)))
170    
171    
172  ## --- negative indices ----------  ## --- negative indices ----------
173  mc <- mC[1:5, 1:7]  mc <- mC[1:5, 1:7]
# Line 175  Line 226 
226  mc[-1, 3] <- -2:1 # 0 should not be entered; 'value' recycled  mc[-1, 3] <- -2:1 # 0 should not be entered; 'value' recycled
227  mt[-1, 3] <- -2:1  mt[-1, 3] <- -2:1
228  stopifnot(mc@x != 0, mt@x != 0,  stopifnot(mc@x != 0, mt@x != 0,
229            mc[-1,3] == -2:1, mt[-1,3] == -2:1) ##--> BUG -- fixed            mc[-1,3] == -2:1, mt[-1,3] == -2:1) ## failed earlier
230    
231  ev <- 1:5 %% 2 == 0  mc0 <- mc
232  mc[ev, 3] <- 0:1  mt0 <- as(mc0, "TsparseMatrix")
233  if(FALSE)## FIXME  m0  <- as(mc0, "matrix")
234   stopifnot(mc[ev, 3] == 0:1) ##-> BUG  {very peculiar; the 2nd time it works ...}  set.seed(1)
235  validObject(mc)  for(i in 1:50) {
236  mc # now shows a non-structural zeros      mc <- mc0; mt <- mt0 ; m <- m0
237        ev <- 1:5 %% 2 == round(runif(1))# 0 or 1
238        j <- sample(ncol(mc), 1 + round(runif(1)))
239        nv <- rpois(sum(ev) * length(j), lambda = 1)
240        mc[ev, j] <- nv
241         m[ev, j] <- nv
242        mt[ev, j] <- nv
243        if(i %% 10 == 1) print(mc[ev,j, drop = FALSE])
244        stopifnot(as.vector(mc[ev, j]) == nv, ## failed earlier...
245                  as.vector(mt[ev, j]) == nv)
246        validObject(mc) ; assert.EQ.mat(mc, m)
247        validObject(mt) ; assert.EQ.mat(mt, m)
248    }
249    
250    mc # no longer has non-structural zeros
251  mc[ii, jj] <- 1:6  mc[ii, jj] <- 1:6
252  mc[c(2,5), c(3,5)] <- 3.2  mc[c(2,5), c(3,5)] <- 3.2
253  validObject(mc)  validObject(mc)
# Line 203  Line 268 
268  stopifnot(as.matrix(Hc.[i,j]) == 0)  stopifnot(as.matrix(Hc.[i,j]) == 0)
269  Hc.[, 1:6]  Hc.[, 1:6]
270    
271    ## an example that failed for a long time
272    sy3 <- new("dsyMatrix", Dim = as.integer(c(2, 2)), x = c(14, -1, 2, -7))
273    validObject(dm <- kronecker(Diagonal(2), sy3))
274    (s2 <- as(dm, "sparseMatrix"))
275    validObject(st <- as(s2, "TsparseMatrix"))
276    stopifnot(is(s2, "symmetricMatrix"),
277              is(st, "symmetricMatrix"))
278    validObject(s.32  <- st[1:3,1:2]) ## 3 x 2 - and *not* dsTMatrix
279    validObject(s2.32 <- s2[1:3,1:2])
280    I <- c(1,4:3)
281    stopifnot(is(s2.32, "generalMatrix"),
282              is(s.32,  "generalMatrix"),
283              identical(as.mat(s.32), as.mat(s2.32)),
284              identical3(dm[1:3,-1], asD(s2[1:3,-1]), asD(st[1:3,-1])),
285              identical4(2, dm[4,3], s2[4,3], st[4,3]),
286              identical3(diag(dm), diag(s2), diag(st)),
287              is((cI <- s2[I,I]), "dsCMatrix"),
288              is((tI <- st[I,I]), "dsTMatrix"),
289              identical4(as.mat(dm)[I,I], as.mat(dm[I,I]), as.mat(tI), as.mat(cI))
290              )
291    
292    ## now sub-assign  and check for consistency
293    ## symmetric subassign should keep symmetry
294    st[I,I] <- 0; validObject(st); stopifnot(is(st,"symmetricMatrix"))
295    s2[I,I] <- 0; validObject(s2); stopifnot(is(s2,"symmetricMatrix"))
296    ##
297    m <- as.mat(st)
298     m[2:1,2:1] <- 4:1
299    st[2:1,2:1] <- 4:1
300    s2[2:1,2:1] <- 4:1
301    stopifnot(identical(m, as.mat(st)),
302              1:4 == as.vector(s2[1:2,1:2]),
303              identical(m, as.mat(s2)))
304    
305    ## now a slightly different situation for 's2' (had bug)
306    s2 <- as(dm, "sparseMatrix")
307    s2[I,I] <- 0; diag(s2)[2:3] <- -(1:2)
308    stopifnot(is(s2,"symmetricMatrix"), diag(s2) == c(0:-2,0))
309    t2 <- as(s2, "TsparseMatrix")
310    m <- as.mat(s2)
311    s2[2:1,2:1] <- 4:1
312    t2[2:1,2:1] <- 4:1
313     m[2:1,2:1] <- 4:1
314    assert.EQ.mat(t2, m)
315    assert.EQ.mat(s2, m)
316    ## and the same (for a different s2 !)
317    s2[2:1,2:1] <- 4:1
318    t2[2:1,2:1] <- 4:1
319    assert.EQ.mat(t2, m)# ok
320    assert.EQ.mat(s2, m)# failed in 0.9975-8
321    
322    
323    ## m[cbind(i,j)] <- value:
324    m.[ cbind(3:5, 1:3) ] <- 1:3
325    stopifnot(m.[3,1] == 1, m.[4,2] == 2)
326    x.x[ cbind(2:6, 2:6)] <- 12:16
327    validObject(x.x)
328    stopifnot(class(x.x) == "dsCMatrix",
329              12:16 == as.mat(x.x)[cbind(2:6, 2:6)])
330    (ne1 <- (mc - m.) != 0)
331    stopifnot(identical(ne1, 0 != abs(mc - m.)))
332    (ge <- m. >= mc) # contains "=" -> result is dense
333    ne. <- mc != m.  # was wrong (+ warning)
334    stopifnot(identical(!(m. < mc), m. >= mc),
335              identical(m. < mc, as(!ge, "sparseMatrix")),
336              identical(ne., Matrix:::drop0(ne1)))
337    
338    
339  cat('Time elapsed: ', proc.time(),'\n') # for ``statistical reasons''  cat('Time elapsed: ', proc.time(),'\n') # for ``statistical reasons''

Legend:
Removed from v.1665  
changed lines
  Added in v.1725

root@r-forge.r-project.org
ViewVC Help
Powered by ViewVC 1.0.0  
Thanks to:
Vienna University of Economics and Business Powered By FusionForge