#### Tools for Package Testing --- in Matrix, sourced by ./test-tools.R #### ------------------------- ## to be used as, e.g., ## source(system.file("test-tools-1.R", package="Matrix"), keep.source=FALSE) ### ------- Part I -- unrelated to "Matrix" classes --------------- identical3 <- function(x,y,z) identical(x,y) && identical (y,z) identical4 <- function(a,b,c,d) identical(a,b) && identical3(b,c,d) identical5 <- function(a,b,c,d,e) identical(a,b) && identical4(b,c,d,e) identical6 <- function(a,b,c,d,e,f) identical(a,b) && identical5(b,c,d,e,f) identical7 <- function(a,b,c,d,e,f,g)identical(a,b) && identical6(b,c,d,e,f,g) require(tools)#-> assertError() and assertWarning() assertWarningAtLeast <- function(expr, verbose=getOption("verbose")) tools::assertCondition(expr, "error", "warning", verbose=verbose) ##' [ from R's demo(error.catching) ] ##' We want to catch *and* save both errors and warnings, and in the case of ##' a warning, also keep the computed result. ##' ##' @title tryCatch both warnings and errors ##' @param expr ##' @return a list with 'value' and 'warning', where ##' 'value' may be an error caught. ##' @author Martin Maechler tryCatch.W.E <- function(expr) { W <- NULL w.handler <- function(w){ # warning handler W <<- w invokeRestart("muffleWarning") } list(value = withCallingHandlers(tryCatch(expr, error = function(e) e), warning = w.handler), warning = W) } ##' Is 'x' a valid object of class 'class' ? isValid <- function(x, class) isTRUE(validObject(x, test=TRUE)) && is(x, class) ##' Signal an error (\code{\link{stop}}), if \code{x} is not a valid object ##' of class \code{class}. ##' ##' @title Stop if Not a Valid Object of Given Class ##' @param x any \R object ##' @param class character string specifying a class name ##' @return \emph{invisibly}, the value of \code{\link{validObject}(x)}, i.e., ##' \code{TRUE}; otherwise an error will have been signalled ##' @author Martin Maechler, March 2015 stopifnotValid <- function(x, class) { if(!is(x, class)) stop(sprintf("%s is not of class \"%s\"", deparse(substitute(x)), class), call. = FALSE) invisible(validObject(x)) } ## Some (sparse) Lin.Alg. algorithms return 0 instead of NA, e.g. ## qr.coef(, y). ## For those cases, need to compare with a version where NA's are replaced by 0 mkNA.0 <- function(x) { x[is.na(x)] <- 0 ; x } ##' ... : further arguments passed to all.equal() such as 'check.attributes' is.all.equal <- function(x,y, tol = .Machine$double.eps^0.5, ...) isTRUE(all.equal(x,y, tolerance=tol, ...)) is.all.equal3 <- function(x,y,z, tol = .Machine$double.eps^0.5, ...) is.all.equal(x,y, tol=tol, ...) && is.all.equal(y,z, tol=tol, ...) is.all.equal4 <- function(x,y,z,u, tol = .Machine$double.eps^0.5, ...) is.all.equal3(x,y,z, tol=tol, ...) && isTRUE(all.equal(z,u, tolerance=tol, ...)) ## A version of all.equal() for the slots all.slot.equal <- function(x,y, ...) { slts <- slotNames(x) for(sl in slts) { aeq <- all.equal(slot(x,sl), slot(y,sl), ...) if(!identical(TRUE, aeq)) return(paste("slot '",sl,"': ", aeq, sep='')) } TRUE } ## all.equal() for list-coercible objects -- apart from *some* components all.equal.X <- function(x,y, except, tol = .Machine$double.eps^0.5, ...) { .trunc <- function(x) { ll <- as.list(x) ll[ - match(except, names(ll), nomatch = 0L)] } all.equal(.trunc(x), .trunc(y), tolerance = tol, ...) } ## e.g. in lme4: ## all.equal.X(env(m1), env(m2), except = c("call", "frame")) ## The relative error typically returned by all.equal: if(!exists("relErr", mode="function"))## use sfsmisc::relErr if {sfsmisc} is attached: relErr <- function(target, current) { ## make this work for 'Matrix' ==> no mean() .. n <- length(current) if(length(target) < n) target <- rep(target, length.out = n) sum(abs(target - current)) / sum(abs(target)) } ##' Compute the signed relative error between target and current vector -- vectorized ##' @title Relative Error (:= 0 when absolute error == 0) ##' @param target numeric, possibly scalar ##' @param current numeric of length() a multiple of length(target) ##' @return *vector* of the same length as current ##' @author Martin Maechler ##' ##' @note OUTDATED/SUPERSEDED by sfsmisc::relErrV() which deals with Inf, denormalized, ... ##' ==> define it only if it does not exist visibly at this point: if(!exists("relErrV", mode="function")) relErrV <- function(target, current) { n <- length(target <- as.vector(target)) ## assert( is multiple of ) : if(length(current) %% n) stop("length(current) must be a multiple of length(target)") RE <- current RE[] <- 0 fr <- current/target neq <- is.na(current) | (current != target) RE[neq] <- 1 - fr[neq] RE } ##' @title Number of correct digits: Based on relErrV(), recoding "Inf" to 'zeroDigs' ##' @param target numeric vector of "true" values ##' @param current numeric vector of "approximate" values ##' @param zeroDigs how many correct digits should zero error give ##' @return basically -log10 (| relErrV(target, current) | ) ##' @author Martin Maechler, Summer 2011 (for 'copula') nCorrDigits <- function(target, current, zeroDigs = 16) { stopifnot(zeroDigs >= -log10(.Machine$double.eps))# = 15.65 RE <- relErrV(target, current) r <- -log10(abs(RE)) r[RE == 0] <- zeroDigs r[is.na(RE) | r < 0] <- 0 # no correct digit, when relErr is NA r } ## is.R22 <- (paste(R.version$major, R.version$minor, sep=".") >= "2.2") pkgRversion <- function(pkgname) sub("^R ([0-9.]+).*", "\\1", packageDescription(pkgname)[["Built"]]) showSys.time <- function(expr, ...) { ## prepend 'Time' for R CMD Rdiff st <- system.time(expr, ...) writeLines(paste("Time", capture.output(print(st)))) invisible(st) } showProc.time <- local({ ## function + 'pct' variable pct <- summary(proc.time())# length 3, shorter names function(final="\n", ind=TRUE) { ## CPU elapsed __since last called__ ot <- pct ; pct <<- summary(proc.time()) delta <- (pct - ot)[ind] ## 'Time' *not* to be translated: tools::Rdiff() skips its lines! cat('Time', paste0("(",paste(names(delta),collapse=" "),"):"), delta, final) } }) ##' A version of sfsmisc::Sys.memGB() which should never give an error ##' ( ~/R/Pkgs/sfsmisc/R/unix/Sys.ps.R ) ##' TODO: on Windows, with memory.size() & memory.limit() defunct, how do I get it ???? Sys.memGB <- function(kind = "MemTotal", ## "MemFree" is typically more relevant NA.value = 2.10201) { if(!file.exists(pf <- "/proc/meminfo")) return(if(.Platform$OS.type == "windows") NA.value ## memory.limit() / 1000 ## no longer with R 4.2.0 else NA.value) mm <- tryCatch(drop(read.dcf(pf, fields=kind)), error = function(e) NULL) if(is.null(mm) || any(is.na(mm)) || !all(grepl(" kB$", mm))) return(NA.value) ## return memory in giga bytes as.numeric(sub(" kB$", "", mm)) / (1000 * 1024) } ##' @title turn an S4 object (with slots) into a list with corresponding components ##' @param obj an R object with a formal class (aka "S4") ##' @return a list with named components where \code{obj} had slots ##' @author Martin Maechler S4_2list <- # <- "old" name (I like less: too hard to remember) as.listS4 <- function(obj) { sn <- .slotNames(obj) ## structure(lapply(sn, slot, object = obj), .Names = sn) `names<-`(lapply(sn, slot, object = obj), sn) } assert.EQ <- function(target, current, tol = if(showOnly) 0 else 1e-15, giveRE = FALSE, showOnly = FALSE, ...) { ## Purpose: check equality *and* show non-equality ## ---------------------------------------------------------------------- ## showOnly: if TRUE, return (and hence typically print) all.equal(...) T <- isTRUE(ae <- all.equal(target, current, tolerance = tol, ...)) if(showOnly) return(ae) else if(giveRE && T) { ## don't show if stop() later: ae0 <- if(tol == 0) ae else all.equal(target, current, tolerance = 0, ...) if(!isTRUE(ae0)) writeLines(ae0) } if(!T) stop("all.equal() |-> ", paste(ae, collapse=sprintf("%-19s","\n"))) else if(giveRE) invisible(ae0) } ##' a version with other "useful" defaults (tol, giveRE, check.attr..) assert.EQ. <- function(target, current, tol = if(showOnly) 0 else .Machine$double.eps^0.5, giveRE = TRUE, showOnly = FALSE, ...) { assert.EQ(target, current, tol=tol, giveRE=giveRE, showOnly=showOnly, check.attributes=FALSE, ...) } ### ------- Part II -- related to matrices, but *not* "Matrix" ----------- add.simpleDimnames <- function(m, named=FALSE) { stopifnot(length(d <- dim(m)) == 2) dimnames(m) <- setNames(list(if(d[1]) paste0("r", seq_len(d[1])), if(d[2]) paste0("c", seq_len(d[2]))), if(named) c("Row", "Col")) m } as.mat <- function(m) { ## as(., "matrix") but with no extraneous empty dimnames d0 <- dim(m) m <- as(m, "matrix") if(!length(m) && is.null(d0)) dim(m) <- c(0L, 0L) # rather than (0, 1) if(identical(dimnames(m), list(NULL,NULL))) dimnames(m) <- NULL m } assert.EQ.mat <- function(M, m, tol = if(showOnly) 0 else 1e-15, showOnly=FALSE, giveRE = FALSE, ...) { ## Purpose: check equality of 'Matrix' M with 'matrix' m ## ---------------------------------------------------------------------- ## Arguments: M: is(., "Matrix") typically {but just needs working as(., "matrix")} ## m: is(., "matrix") ## showOnly: if TRUE, return (and hence typically print) all.equal(...) validObject(M) MM <- as.mat(M) # as(M, "matrix") if(is.logical(MM) && is.numeric(m)) storage.mode(MM) <- "integer" attr(MM, "dimnames") <- attr(m, "dimnames") <- NULL assert.EQ(MM, m, tol=tol, showOnly=showOnly, giveRE=giveRE, ...) } ## a short cut assert.EQ.Mat <- function(M, M2, tol = if(showOnly) 0 else 1e-15, showOnly=FALSE, giveRE = FALSE, ...) assert.EQ.mat(M, as.mat(M2), tol=tol, showOnly=showOnly, giveRE=giveRE, ...) if(getRversion() <= "3.6.1" || R.version$`svn rev` < 77410) ## { methods::canCoerce() : use .class1(), not class() } canCoerce <- function(object, Class) { is(object, Class) || !is.null(selectMethod("coerce", c(methods:::.class1(object), Class), optional = TRUE, useInherited = c(from=TRUE, to=FALSE))) } chk.matrix <- function(M) { ## check object; including coercion to "matrix" : cl <- class(M) cat("class ", dQuote(cl), " [",nrow(M)," x ",ncol(M),"]; slots (", paste(slotNames(M), collapse=","), ")\n", sep='') stopifnot(validObject(M), dim(M) == c(nrow(M), ncol(M)), identical(dim(m <- as(M, "matrix")), dim(M)) ) } isOrthogonal <- function(x, tol = 1e-15) { all.equal(diag(as(zapsmall(crossprod(x)), "diagonalMatrix")), rep(1, ncol(x)), tolerance = tol) } ## .M.DN <- Matrix:::.M.DN -- but do *NOT* want to load Matrix namespace! ## from ../R/Auxiliaries.R : `%||%` <- function(x, orElse) if(!is.null(x)) x else orElse .M.DN <- function(x) dimnames(x) %||% list(NULL,NULL) dnIdentical <- function(x,y) identical (.M.DN(x), .M.DN(y)) dnIdentical3 <- function(x,y,z) identical3(.M.DN(x), .M.DN(y), .M.DN(z)) ##' @title Are two matrices practically equal - including dimnames ##' @param M1, M2: two matrices to be compared, maybe of _differing_ class ##' @param tol ##' @param dimnames logical indicating if dimnames must be equal ##' @param ... passed to all.equal(M1, M2) ##' @return TRUE or FALSE is.EQ.mat <- function(M1, M2, tol = 1e-15, dimnames = TRUE, ...) { (if(dimnames) dnIdentical(M1,M2) else TRUE) && is.all.equal(unname(as(M1, "matrix")), unname(as(M2, "matrix")), tol=tol, ...) } ##' see is.EQ.mat() is.EQ.mat3 <- function(M1, M2, M3, tol = 1e-15, dimnames = TRUE, ...) { (if(dimnames) dnIdentical3(M1,M2,M3) else TRUE) && is.all.equal3(unname(as(M1, "matrix")), unname(as(M2, "matrix")), unname(as(M3, "matrix")), tol=tol, ...) } ##' here, as it also works for qr() chkQR <- function(a, y = seq_len(nrow(a)),## RHS: made to contain no 0 a.qr = qr(a), tol = 1e-11, # 1e-13 failing very rarely (interesting) ##---------- Qinv.chk = !sp.rank.def, QtQ.chk = !sp.rank.def, verbose = getOption("Matrix.verbose", FALSE), giveRE = verbose, quiet = FALSE) { d <- dim(a) stopifnot((n <- d[1]) >= (p <- d[2]), is.numeric(y)) kind <- if(is.qr(a.qr)) "qr" else if(is(a.qr, "sparseQR")) "spQR" else stop("unknown qr() class: ", class(a.qr)) if(!missing(verbose) && verbose) { op <- options(Matrix.verbose = verbose) on.exit(options(op)) } ## rank.def <- switch(kind, ## "qr" = a.qr$rank < length(a.qr$pivot), ## "spQR" = a.qr@V@Dim[1] > a.qr@Dim[1]) sp.rank.def <- (kind == "spQR") && (a.qr@V@Dim[1] > a.qr@Dim[1]) if(sp.rank.def && !quiet && (missing(Qinv.chk) || missing(QtQ.chk))) message("is sparse *structurally* rank deficient: Qinv.chk=", Qinv.chk,", QtQ.chk=",QtQ.chk) if(is.na(QtQ.chk )) QtQ.chk <- !sp.rank.def if(is.na(Qinv.chk)) Qinv.chk <- !sp.rank.def if(Qinv.chk) { ## qr.qy and qr.qty should be inverses, Q'Q y = y = QQ' y : if(verbose) cat("Qinv.chk=TRUE: checking Q'Q y = y = QQ' y :\n") ## FIXME: Fails for structurally rank deficient sparse a's, but never for classical assert.EQ(drop(qr.qy (a.qr, qr.qty(a.qr, y))), y, giveRE=giveRE, tol = tol/64) assert.EQ(drop(qr.qty(a.qr, qr.qy (a.qr, y))), y, giveRE=giveRE, tol = tol/64) } piv <- switch(kind, "qr" = a.qr$pivot, "spQR" = 1L + a.qr@q)# 'q', not 'p' !! invP <- sort.list(piv) .ckQR <- function(cmpl) { ## local function, using parent's variables if(verbose) cat("complete = ",cmpl,": checking X = Q R P*\n", sep="") Q <- qr.Q(a.qr, complete=cmpl) # NB: Q is already "back permuted" R <- qr.R(a.qr, complete=cmpl) rr <- if(cmpl) n else p stopifnot(dim(Q) == c(n,rr), dim(R) == c(rr,p)) assert.EQ.Mat(a, Q %*% R[, invP], giveRE=giveRE, tol=tol) ## = =============== if(QtQ.chk) assert.EQ.mat(crossprod(Q), diag(rr), giveRE=giveRE, tol=tol) ## =========== ==== } .ckQR(FALSE) .ckQR(TRUE) invisible(a.qr) }## end{chkQR}