ensure same types for test

Author: ben-schwen

R/bmerge.R

@@ -113,7 +113,7 @@ bmerge = function(i, x, icols, xcols, roll, rollends, nomatch, mult, ops, verbos
           # we've always coerced to int and returned int, for convenience.
           if (length(ic_idx)>1L) {
             xc_idx = xcols[ic_idx]
-            for (b in which(vapply_1c(x[0L, ..xc_idx], getClass) == "double")) {
+            for (b in which(vapply_1c(x[0L, xc_idx, with=FALSE], getClass) == "double")) {
               xb = xcols[b]
               if (isReallyReal(x[[xb]])) {
                 coerce_x = FALSE
@@ -128,7 +128,7 @@ bmerge = function(i, x, icols, xcols, roll, rollends, nomatch, mult, ops, verbos
             set(callersi, j=ic, value=val)       # change the shallow copy of i up in [.data.table to reflect in the result, too.
             if (length(ic_idx)>1L) {
               xc_idx = xcols[ic_idx]
-              for (b in which(vapply_1c(x[0L, ..xc_idx], getClass) == "double")) {
+              for (b in which(vapply_1c(x[0L, xc_idx, with=FALSE], getClass) == "double")) {
                 xb = xcols[b]
                 if (verbose) catf("Coercing double column %s (which contains no fractions) to type integer to match type of %s.\n", paste0("x.", names(x)[xb]), xname)
                 set(x, j=xb, value=cast_with_atts(x[[xb]], as.integer))
@@ -146,7 +146,7 @@ bmerge = function(i, x, icols, xcols, roll, rollends, nomatch, mult, ops, verbos
         set(i, j=ic, value=val)
         if (length(ic_idx)>1L) {
           xc_idx = xcols[ic_idx]
-          for (b in which(vapply_1c(x[0L, ..xc_idx], getClass) == "integer")) {
+          for (b in which(vapply_1c(x[0L, xc_idx, with=FALSE], getClass) == "integer")) {
             xb = xcols[b]
             if (verbose) catf("Coercing integer column %s to type double for join to match type of %s.\n", paste0("x.", names(x)[xb]), xname)
             set(x, j=xb, value=cast_with_atts(x[[xb]], as.double))

inst/tests/tests.Rraw

@@ -12226,10 +12226,11 @@ DT1 = data.table(RANDOM_STRING = rand_strings(n),
                  DATE = sample(seq(as.Date('2016-01-01'), as.Date('2016-12-31'), by="day"), n, replace=TRUE))
 DT2 = data.table(RANDOM_STRING = rand_strings(n),
                  START_DATE = sample(seq(as.Date('2015-01-01'), as.Date('2017-12-31'), by="day"), n, replace=TRUE))
+as.intDate = function(x) .Date(as.integer(as.Date(x)))
 DT2[, EXPIRY_DATE := START_DATE + floor(runif(1000, 200,300))]
-DT1[, DT1_ID := .I][, DATE := as.Date(DATE)]
+DT1[, DT1_ID := .I][, DATE := as.intDate(DATE)]
 cols = c("START_DATE", "EXPIRY_DATE")
-DT2[, DT2_ID := .I][, (cols) := lapply(.SD, as.Date), .SDcols=cols]
+DT2[, DT2_ID := .I][, (cols) := lapply(.SD, as.intDate), .SDcols=cols]
 ans1 = DT2[DT1, on=.(RANDOM_STRING, START_DATE <= DATE, EXPIRY_DATE >= DATE), .N, by=.EACHI ]$N > 0L
 tmp  = DT1[DT2, on=.(RANDOM_STRING, DATE >= START_DATE, DATE <= EXPIRY_DATE), which=TRUE, nomatch=0L]
 ans2 = DT1[, DT1_ID %in% tmp]