Replace integers with explicit integers (1 -> 1L, etc.)

R/IDateTime.R

@@ -53,10 +53,10 @@ as.list.IDate <- function(x, ...) NextMethod()
 round.IDate <- function (x, digits=c("weeks", "months", "quarters", "years"), ...) {
   units <- match.arg(digits)
   as.IDate(switch(units,
-          weeks  = round(x, "year") + 7 * (yday(x) %/% 7),
-          months = ISOdate(year(x), month(x), 1),
-          quarters = ISOdate(year(x), 3 * (quarter(x)-1) + 1, 1),
-          years = ISOdate(year(x), 1, 1)))
+          weeks  = round(x, "year") + 7L * (yday(x) %/% 7L),
+          months = ISOdate(year(x), month(x), 1L),
+          quarters = ISOdate(year(x), 3L * (quarter(x)-1L) + 1L, 1L),
+          years = ISOdate(year(x), 1L, 1L)))
 }
 
 #Adapted from `+.Date`
@@ -80,7 +80,7 @@ round.IDate <- function (x, digits=c("weeks", "months", "quarters", "years"), ..
     stop("can only subtract from \"IDate\" objects")
   if (storage.mode(e1) != "integer")
     stop("Internal error: storage mode of IDate is somehow no longer integer")
-  if (nargs() == 1)
+  if (nargs() == 1L)
     stop("unary - is not defined for \"IDate\" objects")
   if (inherits(e2, "difftime"))
     stop("difftime objects may not be subtracted from IDate. Use plain integer instead of difftime.")

R/as.data.table.R

@@ -16,7 +16,7 @@ as.data.table.Date <- as.data.table.ITime <- function(x, keep.rownames=FALSE, ..
   if (is.matrix(x)) {
     return(as.data.table.matrix(x, ...))
   }
-  tt = deparse(substitute(x))[1]
+  tt = deparse(substitute(x))[1L]
   nm = names(x)
   # FR #2356 - transfer names of named vector as "rn" column if required
   if (!identical(keep.rownames, FALSE) & !is.null(nm))
@@ -37,7 +37,7 @@ as.data.table.table <- function(x, keep.rownames=FALSE, ...) {
   if (is.null(names(val)) || !any(nzchar(names(val))))
     setattr(val, 'names', paste("V", rev(seq_along(val)), sep=""))
   ans <- data.table(do.call(CJ, c(val, sorted=FALSE)), N = as.vector(x))
-  setcolorder(ans, c(rev(head(names(ans), -1)), "N"))
+  setcolorder(ans, c(rev(head(names(ans), -1L)), "N"))
   ans
 }
 
@@ -100,7 +100,7 @@ as.data.table.array <- function(x, keep.rownames=FALSE, sorted=TRUE, value.name=
   if (isTRUE(na.rm))
     ans = ans[!is.na(N)]
   setnames(ans, "N", value.name)
-  dims = rev(head(names(ans), -1))
+  dims = rev(head(names(ans), -1L))
   setcolorder(ans, c(dims, value.name))
   if (isTRUE(sorted))
     setkeyv(ans, dims)
@@ -133,7 +133,7 @@ as.data.table.list <- function(x, keep.rownames=FALSE, ...) {
         # Implementing FR #4813 - recycle with warning when nr %% nrows[i] != 0L
         if (!n[i] && mn)
           warning("Item ", i, " is of size 0 but maximum size is ", mn, ", therefore recycled with 'NA'")
-        else if (n[i] && mn %% n[i] != 0)
+        else if (n[i] && mn %% n[i] != 0L)
           warning("Item ", i, " is of size ", n[i], " but maximum size is ", mn, " (recycled leaving a remainder of ", mn%%n[i], " items)")
         x[[i]] = rep(x[[i]], length.out=mn)
       }

R/between.R

@@ -12,7 +12,7 @@ between <- function(x,lower,upper,incbounds=TRUE) {
 }
 
 # %between% is vectorised, #534.
-"%between%" <- function(x,y) between(x,y[[1]],y[[2]],incbounds=TRUE)
+"%between%" <- function(x, y) between(x, y[[1L]], y[[2L]], incbounds=TRUE)
 # If we want non inclusive bounds with %between%, just +1 to the left, and -1 to the right (assuming integers)
 
 # issue FR #707
@@ -22,18 +22,18 @@ inrange <- function(x,lower,upper,incbounds=TRUE) {
   subject = setDT(list(l=lower, u=upper))
   ops = if (incbounds) c(4L, 2L) else c(5L, 3L) # >=,<= and >,<
   verbose = getOption("datatable.verbose")
-  if (verbose) {last.started.at=proc.time()[3];cat("forderv(query) took ... ");flush.console()}
+  if (verbose) {last.started.at=proc.time();cat("forderv(query) took ... ");flush.console()}
   xo = forderv(query)
-  if (verbose) {cat(round(proc.time()[3]-last.started.at,3),"secs\n");flush.console}
-  ans = bmerge(shallow(subject), query, 1:2, c(1L,1L), FALSE, xo,
-      0, c(FALSE, TRUE), 0L, "all", ops, integer(0),
+  if (verbose) {cat(timetaken(last.started.at),"\n"); flush.console()}
+  ans = bmerge(shallow(subject), query, 1L:2L, c(1L,1L), FALSE, xo,
+      0, c(FALSE, TRUE), 0L, "all", ops, integer(0L),
       1L, verbose) # fix for #1819, turn on verbose messages
   options(datatable.verbose=FALSE)
   setDT(ans[c("starts", "lens")], key=c("starts", "lens"))
   options(datatable.verbose=verbose)
-  if (verbose) {last.started.at=proc.time()[3];cat("Generating final logical vector ... ");flush.console()}
+  if (verbose) {last.started.at=proc.time();cat("Generating final logical vector ... ");flush.console()}
   .Call(Cinrange, idx <- vector("logical", length(x)), xo, ans[["starts"]], ans[["lens"]])
-  if (verbose) {cat("done in",round(proc.time()[3]-last.started.at,3),"secs\n");flush.console}
+  if (verbose) {cat("done in",timetaken(last.started.at),"\n"); flush.console}
   idx
 }
 

R/bmerge.R

@@ -89,10 +89,10 @@ bmerge <- function(i, x, leftcols, rightcols, io, xo, roll, rollends, nomatch, m
       set(i, j=lc, value=newval)
     }
   }
-  if (verbose) {last.started.at=proc.time()[3];cat("Starting bmerge ...");flush.console()}
+  if (verbose) {last.started.at=proc.time();cat("Starting bmerge ...");flush.console()}
   ans = .Call(Cbmerge, i, x, as.integer(leftcols), as.integer(rightcols), io<-haskey(i), xo, roll, rollends, nomatch, mult, ops, nqgrp, nqmaxgrp)
   # NB: io<-haskey(i) necessary for test 579 where the := above change the factor to character and remove i's key
-  if (verbose) {cat("done in",round(proc.time()[3]-last.started.at,3),"secs\n");flush.console()}
+  if (verbose) {cat("done in",timetaken(last.started.at),"\n"); flush.console()}
 
   # in the caller's shallow copy,  see comment at the top of this function for usage
   # We want to leave the coercions to i in place otherwise, since the caller depends on that to build the result
@@ -105,4 +105,3 @@ bmerge <- function(i, x, leftcols, rightcols, io, xo, roll, rollends, nomatch, m
   return(ans)
 }
 
-