library(testthat)
# most common expectations:
# equality: expect_equal() and expect_identical()
# regexp: expect_match()
# catch-all: expect_true() and expect_false()
# console output: expect_output()
# messages: expect_message()
# warning: expect_warning()
# errors: expect_error()
escapeString <- function(s) {
t <- gsub("(\\\\)", "\\\\\\\\", s)
t <- gsub("(\n)", "\\\\n", t)
t <- gsub("(\r)", "\\\\r", t)
t <- gsub("(\")", "\\\\\"", t)
return(t)
}
prepStr <- function(s) {
t <- escapeString(s)
u <- eval(parse(text=paste0("\"", t, "\"")))
if(s!=u) stop("Unable to escape string!")
t <- paste0("\thtml <- \"", t, "\"")
utils::writeClipboard(t)
return(invisible())
}
evaluationMode <- "sequential"
processingLibrary <- "dplyr"
description <- "test: sequential dplyr"
countFunction <- "n()"
isDevelopmentVersion <- (length(strsplit(packageDescription("pivottabler")$Version, "\\.")[[1]]) > 3)
testScenarios <- function(description="test", releaseEvaluationMode="batch", releaseProcessingLibrary="dplyr", runAllForReleaseVersion=FALSE) {
isDevelopmentVersion <- (length(strsplit(packageDescription("pivottabler")$Version, "\\.")[[1]]) > 3)
if(isDevelopmentVersion||runAllForReleaseVersion) {
evaluationModes <- c("sequential", "batch")
processingLibraries <- c("dplyr", "data.table")
}
else {
evaluationModes <- releaseEvaluationMode
processingLibraries <- releaseProcessingLibrary
}
testCount <- length(evaluationModes)*length(processingLibraries)
c1 <- character(testCount)
c2 <- character(testCount)
c3 <- character(testCount)
c4 <- character(testCount)
testCount <- 0
for(evaluationMode in evaluationModes)
for(processingLibrary in processingLibraries) {
testCount <- testCount + 1
c1[testCount] <- evaluationMode
c2[testCount] <- processingLibrary
c3[testCount] <- paste0(description, ": ", evaluationMode, " ", processingLibrary)
c4[testCount] <- ifelse(processingLibrary=="data.table", ".N", "n()")
}
df <- data.frame(evaluationMode=c1, processingLibrary=c2, description=c3, countFunction=c4, stringsAsFactors=FALSE)
return(df)
}
context("FIND CELLS TESTS")
scenarios <- testScenarios("find cells tests: variableValues 1")
for(i in 1:nrow(scenarios)) {
if(!isDevelopmentVersion) break
evaluationMode <- scenarios$evaluationMode[i]
processingLibrary <- scenarios$processingLibrary[i]
description <- scenarios$description[i]
countFunction <- scenarios$countFunction[i]
test_that(description, {
library(pivottabler)
pt <- PivotTable$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode,
compatibility=list(totalStyleIsCellStyle=TRUE, explicitHeaderSpansOfOne=TRUE, noDataGroupNBSP=TRUE))
pt$addData(bhmtrains)
pt$addColumnDataGroups("TrainCategory")
pt$addColumnDataGroups("PowerType")
pt$addRowDataGroups("TOC")
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$evaluatePivot()
highlight <- PivotStyle$new(pt, "cellHighlight", list("background-color"="#FF00FF"))
cells <- pt$findCells(variableValues=list("PowerType"=c("DMU", "HST")))
lst <- lapply(cells, function(cell) {cell$style <- highlight})
# pt$renderPivot()
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# length(cells)
# sum(unlist(lapply(cells, function(x) { return(x$rawValue) })), na.rm=TRUE)
# prepStr(as.character(pt$getHtml()))
html <- "\n \n \n | Express Passenger | \n Ordinary Passenger | \n Total | \n
\n \n | DMU | \n EMU | \n HST | \n Total | \n DMU | \n EMU | \n Total | \n | \n
\n \n \n | 3079 | \n | \n | \n 3079 | \n 830 | \n | \n 830 | \n 3909 | \n
\n \n \n | 22133 | \n | \n 732 | \n 22865 | \n 63 | \n | \n 63 | \n 22928 | \n
\n \n \n | 5638 | \n 8849 | \n | \n 14487 | \n 5591 | \n 28201 | \n 33792 | \n 48279 | \n
\n \n \n | 2137 | \n 6457 | \n | \n 8594 | \n | \n | \n | \n 8594 | \n
\n \n \n | 32987 | \n 15306 | \n 732 | \n 49025 | \n 6484 | \n 28201 | \n 34685 | \n 83710 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 502260)
expect_equal(length(cells), 15)
expect_equal(sum(unlist(lapply(cells, function(x) { return(x$rawValue) })), na.rm=TRUE), 80406)
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("find cells tests: variableValues 2")
for(i in 1:nrow(scenarios)) {
evaluationMode <- scenarios$evaluationMode[i]
processingLibrary <- scenarios$processingLibrary[i]
description <- scenarios$description[i]
countFunction <- scenarios$countFunction[i]
test_that(description, {
library(pivottabler)
pt <- PivotTable$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode,
compatibility=list(totalStyleIsCellStyle=TRUE, explicitHeaderSpansOfOne=TRUE, noDataGroupNBSP=TRUE))
pt$addData(bhmtrains)
pt$addColumnDataGroups("TrainCategory")
pt$addColumnDataGroups("PowerType")
pt$addRowDataGroups("TOC")
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$evaluatePivot()
highlight <- PivotStyle$new(pt, "cellHighlight", list("background-color"="#FF00FF"))
cells <- pt$findCells(variableValues=list("PowerType"=c("DMU", "HST"), "TOC"="London Midland"))
lst <- lapply(cells, function(cell) {cell$style <- highlight})
# pt$renderPivot()
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# length(cells)
# sum(unlist(lapply(cells, function(x) { return(x$rawValue) })), na.rm=TRUE)
# prepStr(as.character(pt$getHtml()))
html <- "\n \n \n | Express Passenger | \n Ordinary Passenger | \n Total | \n
\n \n | DMU | \n EMU | \n HST | \n Total | \n DMU | \n EMU | \n Total | \n | \n
\n \n \n | 3079 | \n | \n | \n 3079 | \n 830 | \n | \n 830 | \n 3909 | \n
\n \n \n | 22133 | \n | \n 732 | \n 22865 | \n 63 | \n | \n 63 | \n 22928 | \n
\n \n \n | 5638 | \n 8849 | \n | \n 14487 | \n 5591 | \n 28201 | \n 33792 | \n 48279 | \n
\n \n \n | 2137 | \n 6457 | \n | \n 8594 | \n | \n | \n | \n 8594 | \n
\n \n \n | 32987 | \n 15306 | \n 732 | \n 49025 | \n 6484 | \n 28201 | \n 34685 | \n 83710 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 502260)
expect_equal(length(cells), 3)
expect_equal(sum(unlist(lapply(cells, function(x) { return(x$rawValue) })), na.rm=TRUE), 11229)
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("find cells tests: totals")
for(i in 1:nrow(scenarios)) {
if(!isDevelopmentVersion) break
evaluationMode <- scenarios$evaluationMode[i]
processingLibrary <- scenarios$processingLibrary[i]
description <- scenarios$description[i]
countFunction <- scenarios$countFunction[i]
test_that(description, {
library(pivottabler)
pt <- PivotTable$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode,
compatibility=list(totalStyleIsCellStyle=TRUE, explicitHeaderSpansOfOne=TRUE, noDataGroupNBSP=TRUE))
pt$addData(bhmtrains)
pt$addColumnDataGroups("TrainCategory")
pt$addColumnDataGroups("PowerType")
pt$addRowDataGroups("TOC")
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$evaluatePivot()
highlight <- PivotStyle$new(pt, "cellHighlight", list("background-color"="#FF00FF"))
cells <- pt$findCells(variableValues=list("PowerType"="**"))
lst <- lapply(cells, function(cell) {cell$style <- highlight})
# pt$renderPivot()
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# length(cells)
# sum(unlist(lapply(cells, function(x) { return(x$rawValue) })), na.rm=TRUE)
# prepStr(as.character(pt$getHtml()))
html <- "\n \n \n | Express Passenger | \n Ordinary Passenger | \n Total | \n
\n \n | DMU | \n EMU | \n HST | \n Total | \n DMU | \n EMU | \n Total | \n | \n
\n \n \n | 3079 | \n | \n | \n 3079 | \n 830 | \n | \n 830 | \n 3909 | \n
\n \n \n | 22133 | \n | \n 732 | \n 22865 | \n 63 | \n | \n 63 | \n 22928 | \n
\n \n \n | 5638 | \n 8849 | \n | \n 14487 | \n 5591 | \n 28201 | \n 33792 | \n 48279 | \n
\n \n \n | 2137 | \n 6457 | \n | \n 8594 | \n | \n | \n | \n 8594 | \n
\n \n \n | 32987 | \n 15306 | \n 732 | \n 49025 | \n 6484 | \n 28201 | \n 34685 | \n 83710 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 502260)
expect_equal(length(cells), 15)
expect_equal(sum(unlist(lapply(cells, function(x) { return(x$rawValue) })), na.rm=TRUE), 334840)
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("find cells tests: grand total")
for(i in 1:nrow(scenarios)) {
if(!isDevelopmentVersion) break
evaluationMode <- scenarios$evaluationMode[i]
processingLibrary <- scenarios$processingLibrary[i]
description <- scenarios$description[i]
countFunction <- scenarios$countFunction[i]
test_that(description, {
library(pivottabler)
pt <- PivotTable$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode,
compatibility=list(totalStyleIsCellStyle=TRUE, explicitHeaderSpansOfOne=TRUE, noDataGroupNBSP=TRUE))
pt$addData(bhmtrains)
pt$addColumnDataGroups("TrainCategory")
pt$addColumnDataGroups("PowerType")
pt$addRowDataGroups("TOC")
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$evaluatePivot()
highlight <- PivotStyle$new(pt, "cellHighlight", list("background-color"="#FF00FF"))
cells <- pt$findCells(variableValues=list("TrainCategory"="**", "PowerType"="**", "TOC"="**"))
lst <- lapply(cells, function(cell) {cell$style <- highlight})
# pt$renderPivot()
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# length(cells)
# sum(unlist(lapply(cells, function(x) { return(x$rawValue) })), na.rm=TRUE)
# prepStr(as.character(pt$getHtml()))
html <- "\n \n \n | Express Passenger | \n Ordinary Passenger | \n Total | \n
\n \n | DMU | \n EMU | \n HST | \n Total | \n DMU | \n EMU | \n Total | \n | \n
\n \n \n | 3079 | \n | \n | \n 3079 | \n 830 | \n | \n 830 | \n 3909 | \n
\n \n \n | 22133 | \n | \n 732 | \n 22865 | \n 63 | \n | \n 63 | \n 22928 | \n
\n \n \n | 5638 | \n 8849 | \n | \n 14487 | \n 5591 | \n 28201 | \n 33792 | \n 48279 | \n
\n \n \n | 2137 | \n 6457 | \n | \n 8594 | \n | \n | \n | \n 8594 | \n
\n \n \n | 32987 | \n 15306 | \n 732 | \n 49025 | \n 6484 | \n 28201 | \n 34685 | \n 83710 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 502260)
expect_equal(length(cells), 1)
expect_equal(sum(unlist(lapply(cells, function(x) { return(x$rawValue) })), na.rm=TRUE), 83710)
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("find cells tests: conditional formatting")
for(i in 1:nrow(scenarios)) {
evaluationMode <- scenarios$evaluationMode[i]
processingLibrary <- scenarios$processingLibrary[i]
description <- scenarios$description[i]
countFunction <- scenarios$countFunction[i]
test_that(description, {
skip_on_cran()
library(pivottabler)
pt <- PivotTable$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode,
compatibility=list(totalStyleIsCellStyle=TRUE, explicitHeaderSpansOfOne=TRUE, noDataGroupNBSP=TRUE))
pt$addData(bhmtrains)
pt$addColumnDataGroups("TrainCategory")
pt$addColumnDataGroups("PowerType")
pt$addRowDataGroups("TOC")
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$evaluatePivot()
redStyle <- PivotStyle$new(pt, "redStyle", list("background-color"="#FFC7CE", "color"="#9C0006"))
cells <- pt$findCells(minValue=30000, maxValue=50000, includeNull=FALSE, includeNA=FALSE)
lst <- lapply(cells, function(cell) {cell$style <- redStyle})
# pt$renderPivot()
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# length(cells)
# sum(unlist(lapply(cells, function(x) { return(x$rawValue) })), na.rm=TRUE)
# prepStr(as.character(pt$getHtml()))
html <- "\n \n \n | Express Passenger | \n Ordinary Passenger | \n Total | \n
\n \n | DMU | \n EMU | \n HST | \n Total | \n DMU | \n EMU | \n Total | \n | \n
\n \n \n | 3079 | \n | \n | \n 3079 | \n 830 | \n | \n 830 | \n 3909 | \n
\n \n \n | 22133 | \n | \n 732 | \n 22865 | \n 63 | \n | \n 63 | \n 22928 | \n
\n \n \n | 5638 | \n 8849 | \n | \n 14487 | \n 5591 | \n 28201 | \n 33792 | \n 48279 | \n
\n \n \n | 2137 | \n 6457 | \n | \n 8594 | \n | \n | \n | \n 8594 | \n
\n \n \n | 32987 | \n 15306 | \n 732 | \n 49025 | \n 6484 | \n 28201 | \n 34685 | \n 83710 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 502260)
expect_equal(length(cells), 5)
expect_equal(sum(unlist(lapply(cells, function(x) { return(x$rawValue) })), na.rm=TRUE), 198768)
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("find cells tests: constrained with row/column numbers or groups")
for(i in 1:nrow(scenarios)) {
if(!isDevelopmentVersion) break
evaluationMode <- scenarios$evaluationMode[i]
processingLibrary <- scenarios$processingLibrary[i]
description <- scenarios$description[i]
countFunction <- scenarios$countFunction[i]
test_that(description, {
library(pivottabler)
pt <- PivotTable$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode,
compatibility=list(totalStyleIsCellStyle=TRUE, explicitHeaderSpansOfOne=TRUE, noDataGroupNBSP=TRUE))
pt$addData(bhmtrains)
pt$addColumnDataGroups("TrainCategory")
pt$addColumnDataGroups("PowerType")
pt$addRowDataGroups("TOC")
pt$addRowDataGroups("Status")
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$evaluatePivot()
rgrps <- pt$leafRowGroups
cgrps <- pt$leafColumnGroups
cells <- pt$findCells(groups=cgrps[1:2], emptyCells="exclude")
pt$setStyling(cells=cells, declarations=list("background-color"="yellow"))
cells <- pt$findCells(groups=list(rgrps[[6]], rgrps[[8]]), minValue=10)
pt$setStyling(cells=cells, declarations=list("background-color"="lightgreen"))
cells <- pt$findCells(rowNumbers=2:4, columnGroups=cgrps[7:8],
emptyCells="exclude",
rowColumnMatchMode="combinations")
pt$setStyling(cells=cells, declarations=list("background-color"="pink"))
rgrps <- rgrps[11:17]
cgrps <- list(cgrps[[4]], cgrps[[5]], cgrps[[7]])
cells <- pt$findCells(rowGroups=rgrps, columnGroups=cgrps,
rowColumnMatchMode="combinations")
pt$setStyling(cells=cells, declarations=list("background-color"="blanchedalmond"))
cells <- pt$findCells(rowGroups=rgrps, columnGroups=cgrps,
rowColumnMatchMode="combinations",
minValue=10000, emptyCells="exclude")
pt$setStyling(cells=cells, declarations=list("background-color"="orange"))
# pt$renderPivot()
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# prepStr(as.character(pt$getHtml()))
html <- "\n \n \n | Express Passenger | \n Ordinary Passenger | \n Total | \n
\n \n | DMU | \n EMU | \n HST | \n Total | \n DMU | \n EMU | \n Total | \n | \n
\n \n \n \n | 3018 | \n | \n | \n 3018 | \n 815 | \n | \n 815 | \n 3833 | \n
\n \n \n | 59 | \n | \n | \n 59 | \n 15 | \n | \n 15 | \n 74 | \n
\n \n \n | 2 | \n | \n | \n 2 | \n | \n | \n | \n 2 | \n
\n \n \n | 3079 | \n | \n | \n 3079 | \n 830 | \n | \n 830 | \n 3909 | \n
\n \n \n \n | 21561 | \n | \n 709 | \n 22270 | \n 60 | \n | \n 60 | \n 22330 | \n
\n \n \n | 546 | \n | \n 23 | \n 569 | \n 2 | \n | \n 2 | \n 571 | \n
\n \n \n | 26 | \n | \n | \n 26 | \n 1 | \n | \n 1 | \n 27 | \n
\n \n \n | 22133 | \n | \n 732 | \n 22865 | \n 63 | \n | \n 63 | \n 22928 | \n
\n \n \n \n | 5534 | \n 8599 | \n | \n 14133 | \n 5520 | \n 27331 | \n 32851 | \n 46984 | \n
\n \n \n | 101 | \n 235 | \n | \n 336 | \n 67 | \n 847 | \n 914 | \n 1250 | \n
\n \n \n | 3 | \n 15 | \n | \n 18 | \n 4 | \n 23 | \n 27 | \n 45 | \n
\n \n \n | 5638 | \n 8849 | \n | \n 14487 | \n 5591 | \n 28201 | \n 33792 | \n 48279 | \n
\n \n \n \n | 2028 | \n 6331 | \n | \n 8359 | \n | \n | \n | \n 8359 | \n
\n \n \n | 107 | \n 119 | \n | \n 226 | \n | \n | \n | \n 226 | \n
\n \n \n | 2 | \n 7 | \n | \n 9 | \n | \n | \n | \n 9 | \n
\n \n \n | 2137 | \n 6457 | \n | \n 8594 | \n | \n | \n | \n 8594 | \n
\n \n \n \n | 32987 | \n 15306 | \n 732 | \n 49025 | \n 6484 | \n 28201 | \n 34685 | \n 83710 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 753390)
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("find cells tests: value range expressions")
for(i in 1:nrow(scenarios)) {
evaluationMode <- scenarios$evaluationMode[i]
processingLibrary <- scenarios$processingLibrary[i]
description <- scenarios$description[i]
countFunction <- scenarios$countFunction[i]
test_that(description, {
skip_on_cran()
library(pivottabler)
pt <- PivotTable$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode)
pt$addData(bhmtrains)
pt$addColumnDataGroups("TrainCategory")
pt$addColumnDataGroups("PowerType")
pt$addRowDataGroups("TOC")
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$evaluatePivot()
cells <- pt$findCells(valueRanges=c("30000<=v<34000", "40000<=v<50000"), includeNull=FALSE, includeNA=FALSE)
pt$setStyling(cells=cells, declarations=list("background-color"="#FFC7CE", "color"="#9C0006"))
# pt$renderPivot()
# sum(pt$cells$asMatrix(), na.rm=TRUE)
# length(cells)
# sum(unlist(lapply(cells, function(x) { return(x$rawValue) })), na.rm=TRUE)
# prepStr(as.character(pt$getHtml()))
html <- "\n \n \n | Express Passenger | \n Ordinary Passenger | \n Total | \n
\n \n | DMU | \n EMU | \n HST | \n Total | \n DMU | \n EMU | \n Total | \n | \n
\n \n \n | 3079 | \n | \n | \n 3079 | \n 830 | \n | \n 830 | \n 3909 | \n
\n \n \n | 22133 | \n | \n 732 | \n 22865 | \n 63 | \n | \n 63 | \n 22928 | \n
\n \n \n | 5638 | \n 8849 | \n | \n 14487 | \n 5591 | \n 28201 | \n 33792 | \n 48279 | \n
\n \n \n | 2137 | \n 6457 | \n | \n 8594 | \n | \n | \n | \n 8594 | \n
\n \n \n | 32987 | \n 15306 | \n 732 | \n 49025 | \n 6484 | \n 28201 | \n 34685 | \n 83710 | \n
\n
"
expect_equal(sum(pt$cells$asMatrix(), na.rm=TRUE), 502260)
expect_equal(length(cells), 4)
expect_equal(sum(unlist(lapply(cells, function(x) { return(x$rawValue) })), na.rm=TRUE), 164083)
expect_identical(as.character(pt$getHtml()), html)
})
}
scenarios <- testScenarios("find cells tests: max value")
for(i in 1:nrow(scenarios)) {
evaluationMode <- scenarios$evaluationMode[i]
processingLibrary <- scenarios$processingLibrary[i]
description <- scenarios$description[i]
countFunction <- scenarios$countFunction[i]
test_that(description, {
skip_on_cran()
library(pivottabler)
pt <- PivotTable$new(processingLibrary=processingLibrary, evaluationMode=evaluationMode)
pt$addData(bhmtrains)
pt$addColumnDataGroups("TrainCategory")
pt$addColumnDataGroups("PowerType")
pt$addRowDataGroups("TOC")
pt$defineCalculation(calculationName="TotalTrains", summariseExpression=countFunction)
pt$evaluatePivot()
cells <- pt$findCells(highN=3, totals="exclude")
pt$setStyling(cells=cells, declarations=list("background-color"="#00FF00"))
# pt$renderPivot()
# paste(c(cells[[1]]$rawValue, cells[[2]]$rawValue, cells[[3]]$rawValue), collapse = '|')
# prepStr(as.character(pt$getHtml()))
values <- "28201|22133|8849"
html <- "\n \n \n | Express Passenger | \n Ordinary Passenger | \n Total | \n
\n \n | DMU | \n EMU | \n HST | \n Total | \n DMU | \n EMU | \n Total | \n | \n
\n \n \n | 3079 | \n | \n | \n 3079 | \n 830 | \n | \n 830 | \n 3909 | \n
\n \n \n | 22133 | \n | \n 732 | \n 22865 | \n 63 | \n | \n 63 | \n 22928 | \n
\n \n \n | 5638 | \n 8849 | \n | \n 14487 | \n 5591 | \n 28201 | \n 33792 | \n 48279 | \n
\n \n \n | 2137 | \n 6457 | \n | \n 8594 | \n | \n | \n | \n 8594 | \n
\n \n \n | 32987 | \n 15306 | \n 732 | \n 49025 | \n 6484 | \n 28201 | \n 34685 | \n 83710 | \n
\n
"
expect_equal(length(cells), 3)
expect_equal(paste(c(cells[[1]]$rawValue, cells[[2]]$rawValue, cells[[3]]$rawValue), collapse = '|'), "28201|22133|8849")
expect_identical(as.character(pt$getHtml()), html)
})
}