#-------------------------------------------------------------------------------
# Copyright (c) 2019-2022 University of Newcastle upon Tyne. All rights reserved.
# Copyright (c) 2022 Arjuna Technologies, Newcastle upon Tyne. All rights reserved.
#
# This program and the accompanying materials
# are made available under the terms of the GNU Public License v3.0.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#-------------------------------------------------------------------------------
#
# Set up
#
connect.studies.dataset.cnsim(list("LAB_TSC", "LAB_HDL"))
#
# Tests
#
context("ds.listServersideFunctions::smk::check results")
test_that("check results", {
assign.functions <- factor(c(
"BooleDS", "abs", "absDS", "acos", "as.character", "as.null", "as.numeric", "asCharacterDS", "asDataMatrixDS",
"asFactorDS2", "asFactorSimpleDS", "asIntegerDS", "asListDS", "asLogicalDS", "asMatrixDS",
"asNumericDS", "asin", "atan", "attach", "blackBoxRanksDS", "blackBoxRanksDS", "boxPlotGG_data_TreatmentDS", "boxPlotGG_data_Treatment_numericDS", "cDS",
"cbindDS", "changeRefGroupDS", "completeCasesDS", "complete.cases", "dataFrameDS", "dataFrameFillDS", "dataFrameSortDS",
"dataFrameSubsetDS2", "dataFrameDS", "dmtC2SDS", "exp", "glmPredictDS.as", "glmSLMADS.assign", "glmSummaryDS.as", "glmerSLMADS.assign",
"lexisDS2", "lexisDS3", "list", "listDS", "log", "lsplineDS",
"matrixDS", "matrixDetDS2", "matrixDiagDS", "matrixDimnamesDS", "matrixInvertDS",
"matrixMultDS", "matrixTransposeDS", "mergeDS", "nsDS", "qlsplineDS", "rBinomDS", "rNormDS", "rPoisDS",
"rUnifDS", "ranksSecureDS2", "ranksSecureDS4", "ranksSecureDS5", "rbindDS", "reShapeDS", "recodeLevelsDS", "recodeValuesDS", "repDS",
"replaceNaDS", "rowColCalcDS", "seqDS", "sin", "subsetByClassDS", "subsetDS", "sum", "sampleDS",
"tableDS.assign", "tan", "tapplyDS.assign", "unlist", "unListDS", "vectorDS"
))
aggregate.functions <- factor(c(
"NROW", "asFactorDS1", "asListDS", "aucDS",
"checkNegValueDS", "classDS", "colnamesDS", "corDS", "corTestDS",
"covDS", "dataFrameSubsetDS1",
"densityGridDS", "dimDS", "gamlssDS",
"exists", "glmDS1", "glmDS1", "glmDS2",
"glmDS2", "glmerSLMADS2", "glmPredictDS.ag", "glmSLMADS1", "glmSLMADS2", "glmSummaryDS.ag",
"heatmapPlotDS", "histogramDS1", "histogramDS2", "is.character", "is.factor", "is.list", "is.null", "is.numeric",
"isNaDS", "isValidDS", "kurtosisDS1", "kurtosisDS2", "lengthDS",
"levelsDS", "lexisDS1", "listDisclosureSettingsDS", "lmerSLMADS2", "lsDS",
"matrixDetDS1", "meanDS", "meanSdGpDS", "messageDS", "miceDS",
"namesDS", "numNaDS", "quantileMeanDS", "rangeDS",
"ranksSecureDS1", "ranksSecureDS3",
"rmDS", "skewnessDS1", "skewnessDS2", "scatterPlotDS",
"scoreVectDS", "setSeedDS", "t.test",
"table1DDS", "table2DDS", "tableDS", "tableDS2", "tapplyDS",
"testObjExistsDS", "varDS"
))
expect_warning(res <- ds.listServersideFunctions(), "'ds.listServersideFunctions' is deprecated.", fixed=TRUE)
expect_length(res, 2)
expect_length(res$serverside.assign.functions, 7)
expect_length(res$serverside.aggregate.functions, 7)
sim1.assign.res <- subset(res$serverside.assign.functions, server == 'sim1', c('name'))
sim1.aggregate.res <- subset(res$serverside.aggregate.functions, server == 'sim1', c('name'))
sim2.assign.res <- subset(res$serverside.assign.functions, server == 'sim2', c('name'))
sim2.aggregate.res <- subset(res$serverside.aggregate.functions, server == 'sim2', c('name'))
sim3.assign.res <- subset(res$serverside.assign.functions, server == 'sim3', c('name'))
sim3.aggregate.res <- subset(res$serverside.aggregate.functions, server == 'sim3', c('name'))
for (func.name in assign.functions)
expect_true(func.name %in% sim1.assign.res$name, info = func.name)
for (func.name in aggregate.functions)
expect_true(func.name %in% sim1.aggregate.res$name, info = func.name)
for (func.name in assign.functions)
expect_true(func.name %in% sim2.assign.res$name, info = func.name)
for (func.name in aggregate.functions)
expect_true(func.name %in% sim2.aggregate.res$name, info = func.name)
for (func.name in assign.functions)
expect_true(func.name %in% sim3.assign.res$name, info = func.name)
for (func.name in aggregate.functions)
expect_true(func.name %in% sim3.aggregate.res$name, info = func.name)
})
#
# Done
#
disconnect.studies.dataset.cnsim()
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