From 2da1443242f9ebaae27ffd6d2196e3632d2c7a56 Mon Sep 17 00:00:00 2001 From: SpencerA Date: Wed, 27 Nov 2013 03:24:44 -0800 Subject: [PATCH] update: rel path names solved, simpler autoGen RUnits --- R/h2oRClient-package/R/Internal.R | 20 +- R/tests/Utils/h2oR.R | 113 ++++--- R/tests/Utils/out | 0 R/tests/autoGen/GenUtils.py | 5 +- R/tests/autoGen/README | 141 ++++++++- R/tests/autoGen/mungeTasks.py | 76 ++++- R/tests/autoGen/out | 0 R/tests/autoGen/tasks | 113 +++++++ R/tests/autoGen/writeFUs.py | 13 +- R/tests/findNSourceUtils.R | 96 ++++++ R/tests/runner_all_localhost.sh | 5 +- R/tests/testdir_autoGen/Rsandbox/errors.log | 2 + ...reg_b51d06ce_a22f_4961_a3f3_95263e7742ea.R | 16 - ...reg_5d669e64_0d53_4091_afe0_71f8f797697c.R | 16 - ...reg_1b7e0f87_a25d_4829_af4a_125298f3c1be.R | 16 - ...reg_1e3b090a_323e_4d53_8521_1d53c7ab5983.R | 16 - ...est_3f4aff28_4966_4c31_b007_6d012f54f802.R | 16 - ...ods_090bf6ed_94dc_44e4_80fd_7abd5b1d81a9.R | 16 - ...ods_9ce72e2e_ebf3_4b41_b59f_1728d3172614.R 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R/tests/testdir_autoGen/sliceTest_train_a69d7d95_39b2_4925_8923_3bdb55663b54.R delete mode 100644 R/tests/testdir_autoGen/sliceTest_train_c4379fb9_8701_4df1_8673_d13f352e39f1.R create mode 100644 R/tests/testdir_single_jvm/findNSourceUtils.R diff --git a/R/h2oRClient-package/R/Internal.R b/R/h2oRClient-package/R/Internal.R index f687a760e2..07c48ba822 100644 --- a/R/h2oRClient-package/R/Internal.R +++ b/R/h2oRClient-package/R/Internal.R @@ -20,8 +20,8 @@ h2o.__changeCommandLog <- function(path) { cmd <- paste(path, 'commands.log', sep='/') assign("h2o.__LOG_COMMAND", cmd, envir = pkg.env) } -h2o.__changeErrorLog <- function(path) { - cmd <- paste(path, 'errors.log', sep='/') +h2o.__changeErrorLog <- function(path) { + cmd <- paste(path, 'errors.log', sep='/') assign("h2o.__LOG_ERROR", cmd, envir = pkg.env) } h2o.__startLogging <- function() { assign("IS_LOGGING", TRUE, envir = pkg.env) } @@ -39,15 +39,17 @@ h2o.__openErrLog <- function() { } h2o.__logIt<- -function(url, tmp, commandOrErr) { - if(is.null(tmp)) s <- url +function(m, tmp, commandOrErr) { + #m is a url if commandOrErr == "Command" + if(is.null(tmp)) s <- m else { - tmp <- get("tmp"); nams = names(tmp) - s <- rep(" ", length(tmp)) - for(i in seq_along(tmp)) - s[i] <- paste(nams[i], ": ", tmp[[i]], sep="") - s <- paste(url, '\t', paste(s, collapse=", ")) + tmp <- get("tmp"); nams = names(tmp) + s <- rep(" ", length(tmp)) + for(i in seq_along(tmp)) + s[i] <- paste(nams[i], ": ", tmp[[i]], sep="") + s <- paste(m, ' \t', paste(s, collapse=", ")) } + if (commandOrErr != "Command") s <- paste(s, '\n') write(s, file = ifelse(commandOrErr == "Command", pkg.env$h2o.__LOG_COMMAND, pkg.env$h2o.__LOG_ERROR), append = TRUE) } diff --git a/R/tests/Utils/h2oR.R b/R/tests/Utils/h2oR.R index ee24f61ff2..af67d0bfe8 100644 --- a/R/tests/Utils/h2oR.R +++ b/R/tests/Utils/h2oR.R @@ -1,44 +1,54 @@ options(echo=FALSE) -read.zip <- function(zipfile, exdir,header=T) { - zipdir <- exdir - unzip(zipfile, exdir=zipdir) - files <- list.files(zipdir) - file <- paste(zipdir, files[1], sep="/") - read.csv(file,header=header) +read.zip<- +function(zipfile, exdir,header=T) { + zipdir <- exdir + unzip(zipfile, exdir=zipdir) + files <- list.files(zipdir) + file <- paste(zipdir, files[1], sep="/") + read.csv(file,header=header) } -remove_exdir <- function(exdir) { - exec <- paste("rm -r ", exdir, sep="") - system(exec) +remove_exdir<- +function(exdir) { + exec <- paste("rm -r ", exdir, sep="") + system(exec) } sandbox<- function() { - unlink("./sandbox", TRUE) - dir.create("./sandbox") - h2o.__LOG_COMMAND <- "./sandbox/" - h2o.__LOG_ERROR <- "./sandbox/" - h2o.__changeCommandLog(normalizePath(h2o.__LOG_COMMAND)) - h2o.__changeErrorLog(normalizePath(h2o.__LOG_ERROR)) - h2o.__startLogging() + unlink("./Rsandbox", TRUE) + dir.create("./Rsandbox") + h2o.__LOG_COMMAND <- "./Rsandbox/" + h2o.__LOG_ERROR <- "./Rsandbox/" + h2o.__changeCommandLog(normalizePath(h2o.__LOG_COMMAND)) + h2o.__changeErrorLog(normalizePath(h2o.__LOG_ERROR)) + h2o.__startLogging() } Log.info<- function(m) { - message <- paste("[INFO]: ",m, sep="") - logging(message) + message <- paste("[INFO]: ",m, sep="") + logging(message) } Log.warn<- function(m) { - logging(paste("[WARN] : ",m,sep="")) + logging(paste("[WARN] : ",m,sep="")) + #temp <- strsplit(as.character(Sys.time()), " ")[[1]] + #m <- paste('[',temp[1], ' ',temp[2],']', '\t', m) + h2o.__logIt("[WARN] :", m, "Error") + traceback() } Log.err<- function(m) { - logging(paste("[ERROR] : ",m,sep="")) - q("no",1,FALSE) #exit with nonzero exit code + logging(paste("[ERROR] : ",m,sep="")) + #temp <- strsplit(as.character(Sys.time()), " ")[[1]] + #m <- paste('[',temp[1], ' ',temp[2],']', '\t', m) + h2o.__logIt("[ERROR] :", m, "Error") + traceback() + q("no",1,FALSE) #exit with nonzero exit code } logging<- @@ -46,29 +56,34 @@ function(m) { cat(sprintf("[%s] %s\n", Sys.time(),m)) } -PASS <- +PASS<- function() { -cat("###### # ##### ##### \n") -cat("# # # # # # # # \n") -cat("# # # # # # \n") -cat("###### # # ##### ##### \n") -cat("# ####### # # \n") -cat("# # # # # # # \n") -cat("# # # ##### ##### \n") + cat("###### # ##### ##### \n") + cat("# # # # # # # # \n") + cat("# # # # # # \n") + cat("###### # # ##### ##### \n") + cat("# ####### # # \n") + cat("# # # # # # # \n") + cat("# # # ##### ##### \n") } -FAIL <- +FAIL<- function(e) { -cat("") -cat("######## ### #### ## \n") -cat("## ## ## ## ## \n") -cat("## ## ## ## ## \n") -cat("###### ## ## ## ## \n") -cat("## ######### ## ## \n") -cat("## ## ## ## ## \n") -cat("## ## ## #### ########\n") - -Log.err(e) + cat("") + cat("######## ### #### ## \n") + cat("## ## ## ## ## \n") + cat("## ## ## ## ## \n") + cat("###### ## ## ## ## \n") + cat("## ######### ## ## \n") + cat("## ## ## ## ## \n") + cat("## ## ## #### ######## \n") + + Log.err(e) +} + +WARN<- +function(w) { + Log.warn(w) } get_args<- @@ -92,7 +107,7 @@ function(args) { checkNLoadWrapper<- function(ipPort) { - logging("\nCheck if H2O R wrapper package is installed\n") + Log.info("Check if H2O R wrapper package is installed\n") if (!"h2o" %in% rownames(installed.packages())) { envPath = Sys.getenv("H2OWrapperDir") wrapDir = ifelse(envPath == "", defaultPath, envPath) @@ -105,23 +120,23 @@ function(ipPort) { install.packages(wrapPath, repos = NULL, type = "source") } - logging("\nCheck that H2O R package matches version on server\n") + Log.info("Check that H2O R package matches version on server\n") library(h2o) h2o.installDepPkgs() # Install R package dependencies h2o.init(ip = ipPort[[1]], port = ipPort[[2]], startH2O = FALSE, silentUpgrade = TRUE) - source("../../h2oRClient-package/R/Algorithms.R") - source("../../h2oRClient-package/R/Classes.R") - source("../../h2oRClient-package/R/ParseImport.R") - source("../../h2oRClient-package/R/Internal.R") - sandbox() + #source("../../h2oRClient-package/R/Algorithms.R") + #source("../../h2oRClient-package/R/Classes.R") + #source("../../h2oRClient-package/R/ParseImport.R") + #source("../../h2oRClient-package/R/Internal.R") + #sandbox() } checkNLoadPackages<- function() { - logging("\nChecking Package dependencies for this test.\n") + Log.info("Checking Package dependencies for this test.\n") if (!"RUnit" %in% rownames(installed.packages())) install.packages("RUnit") if (!"testthat" %in% rownames(installed.packages())) install.packages("testthat") @@ -145,7 +160,7 @@ function(object) { h2o.__remoteSend(object, h2o.__PAGE_REMOVEALL) } -logging("\nLoading other required test packages") +Log.info("Loading other required test packages") if(!"glmnet" %in% rownames(installed.packages())) install.packages("glmnet") if(!"gbm" %in% rownames(installed.packages())) install.packages("gbm") require(glmnet) diff --git a/R/tests/Utils/out b/R/tests/Utils/out deleted file mode 100644 index e69de29bb2..0000000000 diff --git a/R/tests/autoGen/GenUtils.py b/R/tests/autoGen/GenUtils.py index 32b4a28f44..eb9740f82b 100644 --- a/R/tests/autoGen/GenUtils.py +++ b/R/tests/autoGen/GenUtils.py @@ -7,6 +7,7 @@ from math import floor, ceil import sys +count = 0 def setup_random_seed(random_seed=None): if random_seed is not None: SEED = random_seed @@ -150,7 +151,9 @@ def convertSeq(seq): yield str(x) def genTestName(FU, dataname): - res = dataname + '_' + str(uuid4()).replace('-','_') + global count + count += 1 + res = dataname + '_' + str(count) #str(uuid4()).replace('-','_') if FU == '[': return 'sliceTest_' + res if len(FU.split(';')) > 1: diff --git a/R/tests/autoGen/README b/R/tests/autoGen/README index 57304f9e1c..da62e68d7d 100644 --- a/R/tests/autoGen/README +++ b/R/tests/autoGen/README @@ -9,5 +9,142 @@ What it does: -A simple filter -A compound filter - 2. A simple filter is subsetting rows/cols by a single '<', '>', '=>','<=','!=','==' - 3. A compound filter is an aribtrarily complicated sequence of '!','&','|','<', '>', '=>','<=','!=','==' + -A simple filter is subsetting rows/cols by a single '<', '>', '=>','<=','!=','==' + -A compound filter is an aribtrarily complicated sequence of '!','&','|','<', '>', '=>','<=','!=','==' + +Future: + Generate these types of tasks: + + Algorithms.R h2o.gbm + Algorithms.R h2o.glm.FV + Algorithms.R h2o.__getGLM2Results + Algorithms.R h2o.kmeans + Algorithms.R h2o.nn + Algorithms.R h2o.prcomp.internal + Algorithms.R h2o.prcomp + Algorithms.R h2o.pcr + Algorithms.R h2o.randomForest + Algorithms.R h2o.predict + Algorithms.R h2o.glm.internal + Algorithms.R h2o.glmgrid.internal + Algorithms.R h2o.__getGLMResults + Algorithms.R h2o.glm + Internal.R h2o.__logIt<- No direct test + Internal.R h2o.__remoteSend No direct test + Internal.R h2o.__writeToFile No direct test + Internal.R h2o.__formatError No direct test + Internal.R h2o.__dumpLogs No direct test + Internal.R h2o.__poll No direct test + Internal.R h2o.__allDone No direct test + Internal.R h2o.__pollAll No direct test + Internal.R h2o.__uniqID No direct test + Internal.R h2o.__version No direct test + Internal.R h2o.__getFamily No direct test + Internal.R h2o.__exec2 No direct test + Internal.R h2o.__exec2_dest_key No direct test + Internal.R h2o.__unop2 No direct test + Internal.R h2o.__binop2 No direct test + ParseImport.R h2o.startLauncher unimpl + ParseImport.R h2o.importURL + ParseImport.R h2o.importHDFS + Classes.R initialize H2ORawData + Classes.R initialize H2OParsedData + Classes.R initialize H2OModel + Classes.R show H2OClient + Classes.R show H2ORawData + Classes.R show H2OParsedData + Classes.R show H2OGLMModel + Classes.R show H2OGLMGrid + Classes.R show H2OKMeansModel + Classes.R show H2ONNModel + Classes.R show H2ODRFModel + Classes.R show H2OPCAModel + Classes.R show H2OGBMModel + Classes.R show H2OGBMGrid + Classes.R summary H2OPCAModel + Classes.R plot H2OPCAModel + Classes.R [ H2OParsedData + Classes.R $ H2OParsedData + Classes.R [<- H2OParsedData + Classes.R $<- H2OParsedData + Classes.R + H2OParsedData + Classes.R - H2OParsedData + Classes.R * H2OParsedData + Classes.R / H2OParsedData + Classes.R %% H2OParsedData + Classes.R "==" H2OParsedData + Classes.R > H2OParsedData + Classes.R < H2OParsedData + Classes.R != H2OParsedData + Classes.R >= H2OParsedData + Classes.R <= H2OParsedData + Classes.R & H2OParsedData + Classes.R | H2OParsedData + Classes.R + numeric + Classes.R - numeric + Classes.R * numeric + Classes.R / numeric + Classes.R %% numeric + Classes.R "==" numeric + Classes.R > numeric + Classes.R < numeric + Classes.R != numeric + Classes.R >= numeric + Classes.R <= numeric + Classes.R & numeric + Classes.R | numeric + Classes.R + H2OParsedData + Classes.R - H2OParsedData + Classes.R * H2OParsedData + Classes.R / H2OParsedData + Classes.R %% H2OParsedData + Classes.R "==" H2OParsedData + Classes.R > H2OParsedData + Classes.R < H2OParsedData + Classes.R != H2OParsedData + Classes.R >= H2OParsedData + Classes.R <= H2OParsedData + Classes.R & H2OParsedData + Classes.R | H2OParsedData + Classes.R ! H2OParsedData + Classes.R abs H2OParsedData ?? + Classes.R sign H2OParsedData ?? + Classes.R sqrt H2OParsedData ?? + Classes.R ceiling H2OParsedData ?? + Classes.R floor H2OParsedData ?? + Classes.R log H2OParsedData ?? + Classes.R exp H2OParsedData ?? + Classes.R sum H2OParsedData ?? + Classes.R is.na H2OParsedData ?? + Classes.R h2o.cut H2OParsedData vecTask?? + Classes.R h2o.table H2OParsedData multiVecTask?? + Classes.R h2o.factor H2OParsedData vecTask (assuming) + Classes.R colnames H2OParsedData frameTask + Classes.R names H2OParsedData frameTask + Classes.R nrow H2OParsedData frameTask + Classes.R ncol H2OParsedData frameTask + Classes.R min H2OParsedData vecTask + Classes.R max H2OParsedData vecTask + Classes.R range H2OParsedData vecTask,frameTask + Classes.R colMeans H2OParsedData frameTask + Classes.R dim H2OParsedData frameTask + Classes.R as.data.frame H2OParsedData vecTask,frameTask + Classes.R head H2OParsedData vecTask,frameTask + Classes.R tail H2OParsedData vecTask,frameTask + Classes.R is.factor H2OParsedData ?? + Classes.R quantile H2OParsedData vecTask + Classes.R histograms H2OParsedData ?? + Classes.R summary H2OParsedData vecTask,frameTask + Classes.R apply H2OParsedData + Classes.R show H2ORawDataVA + Classes.R show H2OParsedDataVA + Classes.R show H2OGLMModelVA + Classes.R show H2OGLMGridVA + Classes.R colnames H2OParsedDataVA frameTask + Classes.R names H2OParsedDataVA frameTask + Classes.R nrow H2OParsedDataVA frameTask + Classes.R ncol H2OParsedDataVA frameTask + Classes.R dim H2OParsedDataVA frameTask + Classes.R head H2OParsedDataVA vecTask,frameTask + Classes.R tail H2OParsedDataVA vecTask,frameTask + Classes.R summary H2OParsedDataVA vecTask,frameTask diff --git a/R/tests/autoGen/mungeTasks.py b/R/tests/autoGen/mungeTasks.py index 18ced0395a..f638a2ba41 100644 --- a/R/tests/autoGen/mungeTasks.py +++ b/R/tests/autoGen/mungeTasks.py @@ -3,7 +3,7 @@ ## from GenUtils import * -import itertools +import itertools, time, datetime def writeSimpleSliceTestTask(FU, data, dataPath, FUParams): TESTNAME, DESCRIPTION, COLS, ROWS, COLROW, LOOPCOLS, LOOPROWS, LOOPCOLROW = FUParams.split(':') @@ -13,15 +13,29 @@ def writeSimpleSliceTestTask(FU, data, dataPath, FUParams): #{1} is FU #{2} is DATAPATH #{3} is TESTNAME + with open("githash","rb") as f: + githash = f.read() + with open("seed", "rb") as f: + seed = f.read() + + + ts = time.time() + st = datetime.datetime.fromtimestamp(ts).strftime('%Y-%m-%d %H:%M:%S') test = """ - source('./Utils/h2oR.R') + ## + # Author: Autogenerated on {4} + # gitHash: {5} + # SEED: {6} + + ## + source('./findNSourceUtils.R') Log.info("======================== Begin Test ===========================") {3} <- function(conn) {{ Log.info("A munge-task R unit test on data <{0}> testing the functional unit <{1}> ") Log.info("Uploading {0}") - hex <- h2o.uploadFile(conn, {2}, "{0}.hex") - """.format(DATANAME, FU, DATAPATH, TESTNAME) + hex <- h2o.uploadFile(conn, {2}, "r{0}.hex") + """.format(DATANAME, FU, DATAPATH, TESTNAME.replace('-','_'), st, githash, seed) cols = makeVec(COLS) rows = makeVec(ROWS) @@ -123,8 +137,8 @@ def writeSimpleSliceTestTask(FU, data, dataPath, FUParams): }} conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that({1}, {0}(conn)), error = function(e) FAIL(e)) - PASS()""".format(TESTNAME, DESCRIPTION) + tryCatch(test_that({1}, {0}(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS()""".format(TESTNAME.replace('-','_'), DESCRIPTION) return test @@ -136,15 +150,29 @@ def writeSimpleNumericFilterTestTask(FU, data, dataPath, FUParams): #{1} is FU #{2} is DATAPATH #{3} is TESTNAME + with open("githash","rb") as f: + githash = f.read() + with open("seed", "rb") as f: + seed = f.read() + + + ts = time.time() + st = datetime.datetime.fromtimestamp(ts).strftime('%Y-%m-%d %H:%M:%S') test = """ - source('./Utils/h2oR.R') + ## + # Author: Autogenerated on {4} + # gitHash: {5} + # SEED: {6} + + ## + source('./findNSourceUtils.R') Log.info("======================== Begin Test ===========================") {3} <- function(conn) {{ Log.info("A munge-task R unit test on data <{0}> testing the functional unit <{1}> ") Log.info("Uploading {0}") - hex <- h2o.uploadFile(conn, {2}, "{0}.hex") - """.format(DATANAME, FU, DATAPATH, TESTNAME) + hex <- h2o.uploadFile(conn, {2}, "r{0}.hex") + """.format(DATANAME, FU, DATAPATH, TESTNAME.replace('-', '_'), st, githash, seed) valCol = zip(VALUECOL.split('|')[0].split(';'), VALUECOL.split('|')[1].split(';')) valCol2 = zip(VALUECOL2.split('|')[0].split(';'), VALUECOL2.split('|')[1].split(';')) if VALUECOL2 != '0' else '0' @@ -213,8 +241,8 @@ def writeSimpleNumericFilterTestTask(FU, data, dataPath, FUParams): }} conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that({1}, {0}(conn)), error = function(e) FAIL(e)) - PASS()""".format(TESTNAME, DESCRIPTION) + tryCatch(test_that({1}, {0}(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS()""".format(TESTNAME.replace('-','_'), DESCRIPTION) return test @@ -227,15 +255,29 @@ def writeCompoundFilterTestTask(FU, data, dataPath, FUParams): #{1} is FU #{2} is DATAPATH #{3} is TESTNAME + with open("githash","rb") as f: + githash = f.read() + with open("seed", "rb") as f: + seed = f.read() + + + ts = time.time() + st = datetime.datetime.fromtimestamp(ts).strftime('%Y-%m-%d %H:%M:%S') test = """ - source('./Utils/h2oR.R') + ## + # Author: Autogenerated on {4} + # gitHash: {5} + # SEED: {6} + + ## + source('./findNSourceUtils.R') Log.info("======================== Begin Test ===========================") {3} <- function(conn) {{ - Log.info("A munge-task R unit test on data <{0}> testing the compound functional unit <{1}> ") + Log.info("A munge-task R unit test on data <{0}> testing the functional unit <{1}> ") Log.info("Uploading {0}") - hex <- h2o.uploadFile(conn, {2}, "{0}.hex") - """.format(DATANAME, FU, DATAPATH, TESTNAME) + hex <- h2o.uploadFile(conn, {2}, "r{0}.hex") + """.format(DATANAME, FU, DATAPATH, TESTNAME.replace('-','_'), st, githash, seed) valColL = zip(VALUECOLL.split('|')[0].split(';'), VALUECOLL.split('|')[1].split(';')) valColR = zip(VALUECOLR.split('|')[0].split(';'), VALUECOLR.split('|')[1].split(';')) @@ -301,7 +343,7 @@ def writeCompoundFilterTestTask(FU, data, dataPath, FUParams): }} conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that({1}, {0}(conn)), error = function(e) FAIL(e)) - PASS()""".format(TESTNAME, DESCRIPTION) + tryCatch(test_that({1}, {0}(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS()""".format(TESTNAME.replace('-','_'), DESCRIPTION) return test diff --git a/R/tests/autoGen/out b/R/tests/autoGen/out deleted file mode 100644 index e69de29bb2..0000000000 diff --git a/R/tests/autoGen/tasks b/R/tests/autoGen/tasks new file mode 100644 index 0000000000..3c50ef8c52 --- /dev/null +++ b/R/tests/autoGen/tasks @@ -0,0 +1,113 @@ +sliceTest_prostate_6_1,[,prostate_6,"../../smalldata/parse_folder_test/prostate_6.csv",filterTask,mungeTask,sliceTest_prostate_6_1:"sliceTest_ on data prostate_6":"0";"1";"2";"3";"4";"5";"6":0:"4";"5";"4";"4";"1";"5"|46;7;5;3;19;3;48;17;49;21;37;34;43;24;11;28;17;3;38;33;43;25;37;23;3;22;10;42;25;34;45;11:0:29;6;35;22:|46;21;15;26;34;8;27;7 +sliceTest_coldom_train_2,[,coldom_train,"../../smalldata/test/classifier/coldom_train.csv",filterTask,mungeTask,sliceTest_coldom_train_2:"sliceTest_ on data coldom_train":0:0;1;2;3:0|0:"2":10;9;8;3;2;13:"0"|12;12;5;2;2;9;4;2 +sliceTest_randomdata3_3,[,randomdata3,"../../smalldata/randomdata3.csv",filterTask,mungeTask,sliceTest_randomdata3_3:"sliceTest_ on data randomdata3":0:0;1;2;3;4;5;6;7;8;9;10;11;12;13;14;15;16;17;18;19;20;21;22;23;24;25;26;27;28;29;30;31;32;33;34;35;36;37;38;39;40;41;42;43;44;45;46;47;48;49;50;51;52;53;54;55;56;57;58;59;60;61;62;63;64;65;66;67;68;69;70;71;72;73;74;75;76;77;78;79;80;81;82;83;84;85;86;87;88;89;90;91;92;93;94;95;96;97;98;99;100;101;102;103;104;105;106;107;108;109;110;111;112;113;114;115;116:"4";"0"|56;68;50;81;53;128;50;148;96;86;128;194;189;124;26;195;62;120;29;42;90;7;198;36;111;135;109;101;70;156;35;48;143;22;8;105;134;60;42;112;59;130;139;72;182;191;94;32;181;102;56;30;103;192;127;127;147;39;188;189;169;117;155;176;10;193;155;10;114;124;167;71;36;199;59;95;190;190;99;197;85;113;14;132;33;62;195;88;3;48;179;46;189;11;81;50;152;25;30;19;106;35;129;128;63;153;33;47;36;6;57;141;94;10;80;156;153;21;140;41;198;125;149;10;54;115;196;80;140;42;189;73;121;154;101;177;85;103;95;198;127;172;194;153;94;80;74;148;161;32;18;104;152;113;134;107;127;153;93;106;120;146;115;112;105;106;58;89;104;106;4;66;103;119;83;191;62;19;42;64;96;191;27;174;194;166;148;162;68;13:"0";"1";"0";"1";"0":0:0|0 +sliceTest_train_4,[,train,"../../smalldata/chess/chess_1x2x1000/h2o/train.csv",filterTask,mungeTask,sliceTest_train_4:"sliceTest_ on data 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+sliceTest_pros_5,[,pros,"../../smalldata/logreg/umass_statdata/pros.dat",filterTask,mungeTask,sliceTest_pros_5:"sliceTest_ on data pros"::0:0|0:"7":226;117;122;94;370;256;40;178;292;341;257;280;79;264;213;9;75;208;185;32;227;307;365;346;66;107;297;298;46;375;54;287;303;223;94;194;365;46;178;225;126;315;276;172;292;323;295;158;39;157;248;44;124;293;268;123;34;174;284;314;319;238;300;187;161;307;168;11;289;23;112;128;8;6;97;288;214;99;296;266;348;5;202;123;106;10;286;3;114;321;285;59;68;201;287;338;84;12;19;149;187;183;168;111;148;3;263;84;270;48;217;197;86;175;31;324;289;261;241;298;93;247;59;256;209;236;110;129;10;303;346;79;308;181;179;200;102;379;89;35;125;198;43;97;91;213;360;335;360;110;129;214;225;322;345;322;327;267;113;83;278;330;152;65;144;295;374;357;273;220;133;97;302;341;221;233;64;363;140;118;222;130;373;159;262;88;109;31;270;288;373;245;145;150;114;367;238;102;164;30;364;170;212;186;280;320;162;78;120;32;355;39;288;89;248;234;89;88;21;218;364;270;112;297;150;203;15;217;87;164;191;331;33;98;202;102;213;114;162;359;45;278;169;346;343;372;100;203;240;106;319;6;262;120;187;96;60;141;94;257;139;341;252;306;318;206;166;105;186;304;292;347;369;43;92;350;249;217;357;378;317;154;242;71;110;248;159;379;11;130;175;3;117;81;342;355;290;174;276;374;213;86;375;170;347;73;33;176;248;372;24;300;112;274;43;332;87;52;365;92;154;317;223;170;340:0|0 +sliceTest_iris_6,[,iris,"../../smalldata/iris/iris.csv",filterTask,mungeTask,sliceTest_iris_6:"sliceTest_ on data iris":0:0;1;2;3;4;5;6;7;8;9;10;11;12;13;14;15;16;17;18;19;20;21;22;23;24;25;26;27;28;29;30;31;32;33;34;35;36;37;38;39;40;41;42;43;44;45;46;47;48;49;50;51;52;53;54;55;56;57;58;59;60;61;62;63;64;65;66;67;68;69;70;71;72;73;74;75;76;77;78;79;80;81;82;83;84;85;86;87;88;89;90;91;92;93;94;95;96;97;98;99;100;101:"3"|:"1";"3";"1":132;128;64;93;31;52;16;114;87;139;93;132;9;57;3;4;78;42;93;52;83;149;36;69;100;73;47;115;129;45;60;116;81;42;29;64;72;121;53;93;136;107;51;114;16;63;87;90;72;82;113;37;23;6;140;114;110;148;150;112;139;128;144;75;114;40;21;129;112;88;139;94;51;104;132;30;105;80;26;99;144;24;83;98;146;73;97;6;124;135;111;149;111;11;122;68;48;3;108:|129;2;7;70;64;46;37;113;33;15;81;85;88;67;19;66;137;96;77;92;140;91;121;77;109;64;75;47;86;129;14;119;67;8;109;92;126;13;48;145;28;111;100;14;109;79;37;8;100;87;119;64;4;33;82;149;102;81;73;130;77;30;117;140;68;46;18;110;125;91;86;110;71;96;139;60;50;125;16;124;95;130;110;6;13;42;140;73;102;26;125;144;144;78;109;37;90;79;123;48;2;51;45;49;84;93;64;71;109;29;145;47;91;28;54;137;106;110;77;134;95;82;45;150;52 +sliceTest_chess_test_7,[,chess_test,"../../smalldata/test/classifier/chess_test.csv",filterTask,mungeTask,sliceTest_chess_test_7:"sliceTest_ on data chess_test"::0:|:0:0:0|0 +sliceTest_wonkysummary_8,[,wonkysummary,"../../smalldata/wonkysummary.csv",filterTask,mungeTask,sliceTest_wonkysummary_8:"sliceTest_ on data wonkysummary":0:0;1;2;3;4;5;6;7;8;9;10;11;12;13;14;15;16;17;18;19;20;21;22;23;24;25;26;27;28;29;30;31;32;33;34;35;36;37;38;39;40;41;42;43;44;45;46;47;48;49;50;51;52;53;54;55;56;57;58;59;60;61;62;63;64;65;66;67;68;69;70;71;72;73;74;75;76;77;78;79;80;81;82;83;84;85;86;87;88;89;90;91;92;93;94;95;96;97;98;99;100;101;102;103;104;105;106;107;108;109;110;111;112;113;114;115;116;117;118;119;120;121;122;123;124;125;126;127;128;129;130;131;132;133;134;135;136;137;138;139;140;141;142;143;144;145;146;147;148;149;150;151;152;153;154;155;156;157;158;159;160;161;162;163;164;165;166;167;168;169;170;171;172;173;174;175;176;177;178;179;180;181;182;183;184;185;186;187;188;189;190;191;192;193;194;195;196;197;198;199;200;201;202;203;204;205;206;207;208;209;210;211;212;213;214;215;216;217;218;219;220;221;222;223;224;225;226;227;228;229;230;231;232;233;234;235;236;237;238;239;240;241;242;243;244;245;246;247;248;249;250;251;252;253;254;255;256;257;258;259;260;261;262;263;264;265;266;267;268;269;270;271;272;273;274;275;276;277;278;279;280;281;282;283;284;285;286;287;288;289;290;291;292;293;294;295;296;297;298;299;300;301;302;303;304;305;306;307;308;309;310;311;312;313;314;315;316;317:0|0:"Error":0:0|0 +sliceTest_30k_categoricals_9,[,30k_categoricals,"../../smalldata/categoricals/30k_categoricals.csv.gz",filterTask,mungeTask,sliceTest_30k_categoricals_9:"sliceTest_ on data 30k_categoricals":"0";"1";"2":0:0|0:"1";"3":0:|79;171;206;361;302;27;82;327;453;13;45;135;57;480;475;369;180;107;499;62;186;488;410;391;481;471;66;245;73;154;367;128;242;407;266;156;44;446;346;214;467;139;186;139;340;326;196;131;310;372;319;322;496;441;275;391;347;154;229;217;408;32;487;412;157;307;14;155;62;151;74;103;439;115;235;180;102;500;130;192;112;38;232;367;226;218;222;451;185;72;313;349;374;200;361;315;310;244;16;38;21;343;454;382;138;478;485;242;311;379;315;303;398;317;210;8;82;95;178;212;355;60;486;380;222;390;101;483;495;429;301;333;135;173;295;474;233;472;83;330;51;39;93;52;433;479;134;313;136;250;399;411;198;186;155;205;386;267;233;43;476;460;328;226;350;336;90;441;482;392;130;482;232;233;35;134;256;414;341;316;322;136;332;432;58;2;124;145;192;215;117;13;160;393;119;348;160;471;457;447;337;447;243;368;197;61;211;141;155;254;360;495;138;122;118;409;43;105;273;414;63;456;2;369;87;390;288;158;188;208;57;142;229;34;496;482;280;156;155;61;3;50;236;200;91;83;364;476;226;8;154;214;355;163;310;55;92;9;1;257;371;97;355;30;280;40;455;160;244;386;398;120;127;233;21;83;259;476;165;100;148;345;321;252;440;333;129;428;269;60;182;125;499;420;207;424;341;396;170;371;482;274;210;91;150;327;92;416;424;493;372;476;149;305;185;315;157;449;96;119;323;28;370;381;378;368;78;497;338;370;46;83;486;173;97;385;440;498;396;32;409;304;351;168;162;43;395;444;218;186;61;184;445;364;374;474;186;194;287;32;171;407;439;404;383;45;240;278;290;245;267;6;141;87;214;24;325;54;6;492;482;151;353;359;480;318;253;164;25;341;428;100;133;500;456;258;188;81;192;245;446;85;411;369;31;142;333 +sliceTest_2_100kx7_logreg_10,[,2_100kx7_logreg,"../../smalldata/2_100kx7_logreg.data.gz",filterTask,mungeTask,sliceTest_2_100kx7_logreg_10:"sliceTest_ on data 2_100kx7_logreg":0:0;1;2;3;4;5;6;7;8;9;10;11;12;13;14;15;16;17;18;19;20;21;22;23;24;25;26;27;28;29;30;31;32;33;34;35;36;37;38;39;40;41;42;43;44;45;46;47;48;49;50;51;52;53;54;55;56;57;58;59;60;61;62;63;64;65;66;67;68;69;70;71;72;73;74;75;76;77;78;79;80;81;82;83;84;85;86;87;88;89;90;91;92;93;94;95;96;97;98;99;100;101;102;103;104;105;106;107;108;109;110;111;112;113;114;115;116;117;118;119;120;121;122;123;124;125;126;127;128;129;130;131;132;133;134;135;136;137;138;139;140;141;142;143;144;145;146;147;148;149;150;151;152;153;154;155;156;157;158;159;160;161;162;163;164;165;166;167;168;169;170;171;172;173;174;175;176;177;178;179;180;181;182;183;184;185;186;187;188;189;190;191;192;193;194;195;196;197;198;199;200;201;202;203;204;205;206;207;208;209;210;211;212;213;214;215;216;217;218;219;220;221;222;223;224;225;226;227;228;229;230;231;232;233;234;235;236;237;238;239;240;241;242;243;244;245;246;247;248;249;250;251;252;253;254;255;256;257;258;259;260;261;262;263;264;265;266;267;268;269;270;271;272;273;274;275;276;277;278;279;280;281;282;283;284;285;286;287;288;289;290;291;292;293;294;295;296;297;298;299;300;301;302;303;304;305;306;307;308;309;310;311;312;313;314;315;316;317;318;319;320;321;322;323;324;325;326;327;328;329;330;331;332;333;334;335;336;337;338:"7";"3";"0";"1";"0";"7"|378;394;430;408;382;81;469;355;341;468;222;320;27;299;71;23;185;39;495;272;111;431;252;136;384;170;411;411;426;164;362;275;277;237;151;53;144;352;202;361;422;87;269;279;136;482;353;498;318;39;392;204;306;376;279;146;428;135;229;409;469;450;304;253;33;144;20;461;219;184;57;475;428;260;305;135;498;157;374;497;491;255;142;354;418;473;192;377;389;90;103;484;249;442;23;254;428;370;310;335;204;446;183;439;187;63;180;444;396;313;91;381;429;413;319;396;191;108;117;469;108;315;163;57;430;60;302;29;179;153;304;253;449;372;160;25;384;65;393;73;171;147;12;233;201;104;159;392;335;239;407;171;137;175;74;343;176;198;31;437;453;363;59;171;239;478;26;489;376;185;78;455;343;440;65;490;426;47;242;423;116;464;387;218;203;230;184;226;420;34;96;51;468;371;183;150;472;54;304;378;447;257;139;30;238;468;485;458;318;69;25;306;116;457;217;427;194;135;416;247;62;464;365;479;175;261;130;359;180;191;210;121;273;333;320;113;482;26;55;244;482;235;352;227;150;46;453;38;217;16;68;284;99;160;447;342;264;311;267;322;93;9;266;485;204;187;339;436;154;117:0:325;488;314;130;139;449;447;136;258;259;398;78;410;389;403;67;310;101;325;271;40;143;436;429;249;387;375;393;458;460;70;218;445;396;71;447;478;27;32;225;222;500;311;209;12;93;366;200;327;342;311;416;443;184;427;470;33;207;425;56;469;71;334;441;429;113;252;362;274;57;490;344;43;109;294;64;396;488;135;261;212;291;83;339;243;331;142;464;201;278;398;109;411;271;366;452;164;484;55;373;204;160;250;314;87;100;35;77;235;229;223;271;274;256;335;100;388;365;40;180;133;340;156;266;57;254;492;170;239;443;121;104;185;356;97;383;479;465;123;470;386;329;169;394;163;247;453;162;313;449;391;248;123;316;182;163;282;132;100;148;497;380;25;468;359;423;223;50;120;467;99;489;121;468;259;65;209;373;182;21;391;383;93;259;225;474;58;348;245;427;241;259;60;265;83;311;236;469;192;7;120;495;256;367;275;241;276;454;280;161;164;244;336;418;412;82;96;484;440;340;248;28;94;222;27;62;177;35;191;307;169;130;340;186;172;474;490;240;395;300;342;11;50;30;424;245;75;252;365;375;401;21;358;456;167;252;447;144;193;67;100;304;325;494;317;51;487;68;91;267;80;334;326;41;73;229;450;23;446;136;392;110;397;403;263;485;148;405;216;470;267;411;173;299;415;61;309;228;489;328;177;250;132;86;88;43;324;44;83;216;301;334;122;39;498;426;215;44;366;491;175;260;12;206;444;101;407;309;245;74;72;241;413;218;235;206;259;31;34;240;383;75;98;253;465;195;225;335;230;174;272;155;186;201;392;421;114;288;147;131;79;468;203;285;437;30;465;487;6;406;146;208;84;26;164;74;92;101;21;391;25;413;196;375;214;414;238;7;107;282;489;266;49;54;80;276;104;378;318;352;167;41;500;183;230;263;63;329;55;319;114;471;356;26;142;268;112;326;353;75;448;168;259;315;210;406;36;14;136;400;420;416;392:"6";"3";"3";"3";"6"|404;184;163;343;417;255;164;173;415;272;407;170;39;208;425;401;381;188;448;64;212;59;369;110;98;481;111;127;189;118;185;350;257;166;156;294;368;280;254;441;184;356;93;234;19;352;90;166;360;9;123;322;79;138;449;351;237;272;399;322;338;308;394;484;375;409;258;47;416;165;54;195;181;329;320;30;462;190;302;362;495;48;486;101;434;253;290;104;366;447;248;117;259;420;370;379;127;63;250;202;43;209;91;93;492;39;254;229;266;137;185;496;279;445;494;41;482;190;239;345;188;462;267;423;93;489;303;478;233;133;452;111;409;307;225;367;148;143;248;259;467;340;215;331;251;199;64;47;157;10;298;174;75;438;250;11;420;439;62;160;357;487;317;139;469;257;276;454;493;279;151;212;265;169;308;112;387;33;500;391;16;224;150;483;322;399;1;409;118;111;379;462;64;43;349;259;67;52;193;408;423;356;284;316;269;119;360;445;84;163;21;203;384;479;35;149;181;475;21;297;479;373;101;358;274;472;466;122;388;412;106;290;306;346;193;154;363;99;392;199;358;40;82;50;25;462;409;369;384;232;113;84;291;196;434;35;23;139;367;163;376;442;267;378;406;24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+sliceTest_allyears2k_headers_11,[,allyears2k_headers,"../../smalldata/airlines/allyears2k_headers.zip",filterTask,mungeTask,sliceTest_allyears2k_headers_11:"sliceTest_ on data allyears2k_headers":"Year";"Month";"DayofMonth";"DayOfWeek";"DepTime";"CRSDepTime";"ArrTime";"CRSArrTime";"UniqueCarrier";"FlightNum";"TailNum";"ActualElapsedTime";"CRSElapsedTime";"AirTime";"ArrDelay";"DepDelay";"Origin";"Dest";"Distance";"TaxiIn";"TaxiOut";"Cancelled";"CancellationCode";"Diverted";"CarrierDelay";"WeatherDelay";"NASDelay";"SecurityDelay":0:0|0:"Distance";"ArrDelay";"CRSArrTime";"DayofMonth";"CRSElapsedTime";"CRSElapsedTime";"TaxiIn";"ActualElapsedTime";"Distance";"DayofMonth";"Cancelled";"FlightNum";"IsDepDelayed";"WeatherDelay";"ArrTime";"DayofMonth";"Cancelled";"Origin";"ActualElapsedTime";"Origin";"AirTime";"Cancelled";"CarrierDelay";"IsDepDelayed";"CarrierDelay";"DepTime";"DepDelay";"CRSArrTime":364;464;204;102;101;10;418;128;137;347;485;50;96;164;386;212;25;245;245;80;264;348;67;355;18;494;236;242;12;105;363;488;123;259;472;78;218;480;194;414;389;119;144;234;304;123;192;91;375;231;252;313;350;38;59;240;147;500;327;218;114;117;303;141;59;282;13;13;403;346;133;453;227;332;187;191;50;142;371;283;469;111;40;385;135;475;490;103;494;142;334;35;248;445;89;170;406;201;402;437;49;141;407;465;156;274;245;319;163;38;357;414;84;27;53;478;277;142;107;44;456;480;114;248;332;230;33;408;130;250;420;497;213;146;375;213;83;191;338;371;397;427;279;446;115;135;222;360;388;434;356;274;104;318;221;197;199;213;129;135;26;361;17;58;152;485;334;147;411;489;202;44;155;113;200;334;111;457;95;33;102;234;339;443;87;239;352;23;135;224;69;444;398;283;419;364;456;157;51;176;238;41;340;132;132;142;378;255;265;441;1;214;176;287;488;368;373;478;117;405;197;268;354;186;131;476;150;445;454;307;144;208;285;500;189;317;436;269;254;489;450;492;239;449;369;103;161;49;10;105;26;459;248;474;92;226;292;93;491;167;375;385;353;29;114;127;163;433;83;62;83;8;14;180;242;261;206;271;373;385;115;476;439;362;101;343;465;94;83;479;285;352;434;30;21;10;26;273;151;22;435;190;213;167;465;157;16;444;387;455;186;441;53;80;467;167;489;55;443;14;107;67;83;128;55;154;6;330;98;226;465;390;215;344;286;53;295;129;47;201;89;178;327;80;241;204;388;259;404;204;261;335;376;473;83;354;425;229;275;153;258;205;400;56;451;145;287;376;186;257;15;108;13;416;254;84;235;7;228;116:"CRSDepTime";"Month";"CRSArrTime"|276;300;351;280;374;125;263;29;56;488;345;192;288;458;220;77;126;334;320;417;168;487;353;421;346;299;428;125;407;40;433;271;223;173;290;392;63;85;61;85;76;369;3;288;199;487;379;358;237;185;350;79;230;284;15 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+sliceTest_arit_20,[,arit,"../../smalldata/test/arit.csv",filterTask,mungeTask,sliceTest_arit_20:"sliceTest_ on data arit":"0":0;1;2;3;4;5;6;7;8;9;10;11;12;13;14;15;16;17;18;19;20;21;22;23;24;25;26;27;28;29;30;31;32;33;34;35;36;37;38;39;40;41;42;43;44;45;46;47;48;49;50;51;52;53;54;55;56;57;58;59;60;61;62;63;64;65;66;67;68;69;70;71;72;73;74;75;76;77;78;79;80;81:0|0:"0":416;346;104;132;81;251;24;262;109;275;475;221;51;17;211;418;428;33;15;35;358;17;112;231;284;415;277;344;37;148;95;312;465;272;300;25;112;57;477;314;143;188;93;199;492;158;1;280;175;204;31;132;395;339;463;177;442;462;16;106;399;208;94;2;21;198;473;139;157;323;171;341;135;42;175;417;253;239;49;272;355;27;166;424;103;93;469;458;52;270;204;444;120;304;90;413;275;358;284;132;393;174;290;412;379;367;391;289;4;44;386;248;99;113;335;55;140;384;404;30;251;64;417;347;144;247;325;144;256;496;263;113;418;36;105;213;457;482;311;448;225;22;476;287;300;47;77;77;90;89;333;181;429;307;199;157;21;218;215;245;378;415;132;127;45;16;170;210;396;396;101;349;137;219;228;256;198;319;483;357;30;120;219;55;38;227;264;349;46;83;268;18;151;127;113;7;203;168;263;169;356;64;386;163;475;269;388;273;438;361;296;379;480;372;235;249;82;485;92;431;307;288;423;102;247;466;139;472;435;447;55;245;4;59;188;367;492;259;311;72;226;79;319;461;418;337;136;12;125;226;309;312;177;496;377;266;217;191;18;184;485;172;478;253;368;235;86;446;383;42;396;259;32;412;283;308;193;155;43;457;398;316;16;425;478;316;9;207;70;176;251;57;141;432;15;456;350;81;212;310;372;200;235;275;241;316;348;62;158;157;412;102;29;27;396;336;223;330;398;104;426;25;301;101;192;73;129;79;268;58;160;192;237;180;294;314;163;64;305;135;352:"1"|251;250;27;207;400;207;231;316;15;202;151;189;440;437;379;397;289;141;187;195;403;171;54;289;134;152;287;122;118;40;144;220;320;440;284;57;189;283;348;43;208;218;38;159;54;244;344;248;222;144;279;108;433;199;483;82;381;204;187;498;405;371;258;450;396;455;338;210;204;374;351;417;153;448;446;174;156;274;486;412;120;191;107;73;447;75;344;391;476;408;355;440;288;174;101;261;285;55;70;493;306;391;237;97;428;251;27;370;409;32 +simpleFilterTest_parse_fail_double_space_77,>=,parse_fail_double_space,"../../smalldata/parse_fail_double_space.csv",filterTask,mungeTask,simpleFilterTest_parse_fail_double_space_77:"simpleFilterTest_ on data parse_fail_double_space":FirstName;MiddleInitials;LastName;DateofBirth:|:| +simpleFilterTest_datagen1_78,>=,datagen1,"../../smalldata/datagen1.csv",filterTask,mungeTask,simpleFilterTest_datagen1_78:"simpleFilterTest_ on data datagen1":0;1;2;3;4;5;6;7:819.871907413;913.485947265;76.8252473762;734.683310748;925.479504083;353.686276047|"0";"0";"0";"0";"0";"0":340.843007904;311.58189428;851.9952749;959.101376763;9.8779179403;183.602306511|"0";"0";"0";"0";"0";"0" +simpleFilterTest_syn_2659x1049_79,>=,syn_2659x1049,"../../smalldata/logreg/syn_2659x1049.csv",filterTask,mungeTask,simpleFilterTest_syn_2659x1049_79:"simpleFilterTest_ on data syn_2659x1049":0;1;2;3;4;5;6;7;8;9;10;11;12;13;14;15;16;17;18;19;20;21;22;23;24;25;26;27;28;29;30;31;32;33;34;35;36;37;38;39;40;41;42;43;44;45;46;47;48;49;50;51;52;53;54;55;56;57;58;59;60;61;62;63;64;65;66;67;68;69;70;71;72;73;74;75;76;77;78;79;80;81;82;83;84;85;86;87;88;89;90;91;92;93;94;95;96;97;98;99;100;101;102;103;104;105;106;107;108;109;110;111;112;113;114;115;116;117;118;119;120;121;122;123;124;125;126;127;128;129;130;131;132;133;134;135;136;137;138;139;140;141;142;143;144;145;146;147;148;149;150;151;152;153;154;155;156;157;158;159;160;161;162;163;164;165;166;167;168;169;170;171;172;173;174;175;176;177;178;179;180;181;182;183;184;185;186;187;188;189;190;191;192;193;194;195;196;197;198;199;200;201;202;203;204;205;206;207;208;209;210;211;212;213;214;215;216;217;218;219;220;221;222;223;224;225;226;227;228;229;230;231;232;233;234;235;236;237;238;239;240;241;242;243;244;245;246;247;248;249;250;251;252;253;254;255;256;257;258;259;260;261;262;263;264;265;266;267;268;269;270;271;272;273;274;275;276;277;278;279;280;281;282;283;284;285;286;287;288;289;290;291;292;293;294;295;296;297;298;299;300;301;302;303;304;305;306;307;308;309;310;311;312;313;314;315;316;317;318;319;320;321;322;323;324;325;326;327;328;329;330;331;332;333;334;335;336;337;338;339;340;341;342;343;344;345;346;347;348;349;350;351;352;353;354;355;356;357;358;359;360;361;362;363;364;365;366;367;368;369;370;371;372;373;374;375;376;377;378;379;380;381;382;383;384;385;386;387;388;389;390;391;392;393;394;395;396;397;398;399;400;401;402;403;404;405;406;407;408;409;410;411;412;413;414;415;416;417;418;419;420;421;422;423;424;425;426;427;428;429;430;431;432;433;434;435;436;437;438;439;440;441;442;443;444;445;446;447;448;449;450;451;452;453;454;455;456;457;458;459;460;461;462;463;464;465;466;467;468;469;470;471;472;473;474;475;476;477;478;479;480;481;482;483;484;485;486;487;488;489;490;491;492;493;494;495;496;497;498;499;500;501;502;503;504;505;506;507;508;509;510;511;512;513;514;515;516;517;518;519;520;521;522;523;524;525;526;527;528;529;530;531;532;533;534;535;536;537;538;539;540;541;542;543;544;545;546;547;548;549;550;551;552;553;554;555;556;557;558;559;560;561;562;563;564;565;566;567;568;569;570;571;572;573;574;575;576;577;578;579;580;581;582;583;584;585;586;587;588;589;590;591;592;593;594;595;596;597;598;599;600;601;602;603;604;605;606;607;608;609;610;611;612;613;614;615;616;617;618;619;620;621;622;623;624;625;626;627;628;629;630;631;632;633;634;635;636;637;638;639;640;641;642;643;644;645;646;647;648;649;650;651;652;653;654;655;656;657;658;659;660;661;662;663;664;665;666;667;668;669;670;671;672;673;674;675;676;677;678;679;680;681;682;683;684;685;686;687;688;689;690;691;692;693;694;695;696;697;698;699;700;701;702;703;704;705;706;707;708;709;710;711;712;713;714;715;716;717;718;719;720;721;722;723;724;725;726;727;728;729;730;731;732;733;734;735;736;737;738;739;740;741;742;743;744;745;746;747;748;749;750;751;752;753;754;755;756;757;758;759;760;761;762;763;764;765;766;767;768;769;770;771;772;773;774;775;776;777;778;779;780;781;782;783;784;785;786;787;788;789;790;791;792;793;794;795;796;797;798;799;800;801;802;803;804;805;806;807;808;809;810;811;812;813;814;815;816;817;818;819;820;821;822;823;824;825;826;827;828;829;830;831;832;833;834;835;836;837;838;839;840;841;842;843;844;845;846;847;848;849;850;851;852;853;854;855;856;857;858;859;860;861;862;863;864;865;866;867;868;869;870;871;872;873;874;875;876;877;878;879;880;881;882;883;884;885;886;887;888;889;890;891;892;893;894;895;896;897;898;899;900;901;902;903;904;905;906;907;908;909;910;911;912;913;914;915;916;917;918;919;920;921;922;923;924;925;926;927;928;929;930;931;932;933;934;935;936;937;938;939;940;941;942;943;944;945;946;947;948;949;950;951;952;953;954;955;956;957;958;959;960;961;962;963;964;965;966;967;968;969;970;971;972;973;974;975;976;977;978;979;980;981;982;983;984;985;986;987;988;989;990;991;992;993;994;995;996;997;998;999:2.22070704623;1.47290768279;2.72259224978;1.81858257672;0.289989400075;2.22655659227;2.81259853665;1.69725807493;0.131332250901|"395";"140";"111";"753";"503";"670";"350";"969";"761":2.10102575666;2.18568511013;0.45512893367;1.86223769049;0.182960599208;1.16743843949;0.547868969268;1.37441777223;0.59357671094|"924";"359";"147";"767";"25";"34";"592";"104";"716" 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stego_training":0;1;2;3;4;5;6;7;8;9;10;11;12;13;14;15;16;17;18;19;20;21;22;23;24;25;26;27;28;29;30;31;32;33;34;35;36;37;38;39;40;41;42;43;44;45;46;47;48;49;50;51;52;53;54;55;56;57;58;59;60;61;62;63;64;65;66;67;68;69;70;71;72;73;74;75;76;77;78;79;80;81;82;83;84;85;86;87;88;89;90;91;92;93;94;95;96;97;98;99;100;101;102;103;104;105;106;107;108;109;110;111;112;113;114;115;116;117;118;119;120;121;122;123;124;125;126;127;128;129;130;131;132;133;134;135;136;137;138;139;140;141;142;143;144;145;146;147;148;149;150;151;152;153;154;155;156;157;158;159;160;161;162;163:0.0877498773972;0.0866045130047;0.266891548344;0.0601563858027;0.0963764435073;0.148095001379;0.173880123352;0.0356459632588;0.141695939503;0.0832067902982;0.0220895326684;0.0894311819189;0.126305548056;0.143581898097|"14";"18";"141";"125";"40";"66";"58";"125";"98";"61";"27";"73";"160";"94":0.0183258347049;0.0657337493612;0.0291436975913;0.0349012935405;0.231692378806;0.0872920063277;0.163015488296;0.0275671292417;0.0425876703335;0.119455215335;0.0560522537272;0.0608332520366;0.0776603837093;0.227919442146|"110";"145";"23";"67";"115";"35";"90";"54";"122";"134";"111";"149";"15";"122":0.0988523195414;0.0353873277179;0.0731617172934;0.0294560403985;0.113950674174;0.00855988053456;0.0767720587999;0.122217115792;0.0254186314769;0.0858677085939;0.136584063645;0.104944347411;0.0116184407465;0.314926258723|"32";"44";"154";"28";"141";"73";"18";"104";"128";"25";"68";"50";"64";"115":0.126800811842;0.162977780315;0.0875640473751;0.0230355329715;0.294799211792;0.0340670682725;0.162848275991;0.0744501872605;0.119213053207;0.0286597069203;0.0382994141379;0.017168633782;0.246668295236;0.0859531683648|"71";"141";"144";"19";"140";"86";"4";"92";"121";"73";"7";"144";"25";"162" +complexFilterTest_USArrests_163,!;>;&;<=;&;!|;!;==,USArrests,"../../smalldata/pca_test/USArrests.csv",filterTask,mungeTask,complexFilterTest_USArrests_163:"compoundFilterTest_ on data USArrests":Murder;Assault;UrbanPop;Rape:264.46066714;39.9798681516;210.200303165;31.2691049168;20.3872115277;151.64764245;42.6860635683;73.082542275;85.7565385953;5.48050590046;321.618141065;4.38124042733;5.47875021569;274.201590203;25.4043286008;41.161850309|"Assault";"Rape";"Assault";"Rape";"Rape";"Assault";"Rape";"UrbanPop";"UrbanPop";"Murder";"Assault";"Murder";"Murder";"Assault";"Rape";"Rape":23.3778329544;9.29324798714;141.843680443;35.9902754791;10.3896522538;116.601226813;212.845729815;63.2506783234;25.5633899167;22.4497001057;40.0282850268;97.0208261442;12.3820806766;41.0569039867;63.3815866445;97.6163224836|"Rape";"Rape";"Assault";"UrbanPop";"Murder";"Assault";"Assault";"UrbanPop";"Rape";"Rape";"Rape";"Assault";"Murder";"UrbanPop";"Assault";"Assault":43.5097835323;24.158701188;6.34858379189;105.758489765;45.0813449721;4.74571040662;1.73445578877;38.7916298141;13.1660425342;28.0948979686;24.6046202431;64.5251979031;21.823236397;221.217867815;13.3796103747;277.598631311|"Rape";"Rape";"Murder";"Assault";"Rape";"Murder";"Murder";"Rape";"Rape";"Rape";"Rape";"UrbanPop";"Rape";"Assault";"Murder";"Assault":33.109011708;16.2675335678;58.3203472911;8.88187090607;30.7239895817;67.0019522004;18.9321923554;10.2353974546;4.8847889859;84.8757106754;182.952841035;68.6350664572;144.237236984;48.4017580298;58.7028730498;15.5910664207|"UrbanPop";"Rape";"UrbanPop";"Murder";"Rape";"UrbanPop";"Rape";"Murder";"Murder";"UrbanPop";"Assault";"UrbanPop";"Assault";"UrbanPop";"Assault";"Rape" +complexFilterTest_prostate_long_164,!;>;&;<=;&;!|;!;==,prostate_long,"../../smalldata/logreg/prostate_long.csv.gz",filterTask,mungeTask,complexFilterTest_prostate_long_164:"compoundFilterTest_ on data prostate_long":ID;CAPSULE;AGE;RACE;DPROS;DCAPS;PSA;VOL;GLEASON:58.3319328724;357.317646776;130.504348607;1.14921938918;5.55785824671;60.7742691249;363.379734982;0.271537964847;0.104857645407;2.31269703457;8.96855631065;0.845347051915;76.1426726531;0.569030843436;33.1841972653;1.15199632126;0.153572560192;35.93972132|"AGE";"ID";"PSA";"RACE";"GLEASON";"AGE";"ID";"CAPSULE";"CAPSULE";"GLEASON";"VOL";"RACE";"PSA";"CAPSULE";"VOL";"RACE";"CAPSULE";"VOL":19.4969102916;1.88986571825;8.21500153843;1.59830652366;1.42895174515;4.08686724967;77.9017451106;1.32865174284;12.4059222901;134.367699306;59.4702985587;8.69399136448;326.438558014;1.75792642265;1.40095278208;1.22083523567;5.46420290122;0.0958710801063|"VOL";"PSA";"GLEASON";"DPROS";"DPROS";"GLEASON";"VOL";"DCAPS";"VOL";"PSA";"VOL";"GLEASON";"ID";"DCAPS";"DPROS";"DCAPS";"GLEASON";"CAPSULE":63.2198250152;72.8088717087;119.216337652;1.09429992097;46.2600823717;1.05784413147;0.885980839701;2.30867970287;1.67251687322;43.5080342684;0.300950083226;2.05880879823;89.2659571307;1.14243482106;2.88678257722;1.18612363177;2.10696903302;75.9391890926|"AGE";"VOL";"PSA";"PSA";"AGE";"DCAPS";"CAPSULE";"DPROS";"RACE";"AGE";"CAPSULE";"DPROS";"VOL";"DCAPS";"DPROS";"DCAPS";"GLEASON";"VOL":3.02956823865;72.7930893184;128.634957604;2.05133091546;76.8827857982;2.29132851588;5.86032760859;0.00754116387299;331.52476041;70.6624222074;0.207770911595;22.6995049701;0.272390084675;1.40404895269;0.573301483437;3.1476246044;39.2408944476;0.0440139357526|"DPROS";"AGE";"PSA";"GLEASON";"VOL";"DPROS";"GLEASON";"RACE";"ID";"AGE";"GLEASON";"ID";"CAPSULE";"DPROS";"CAPSULE";"DPROS";"VOL";"CAPSULE" +complexFilterTest_iris_train_165,!;>;&;<=;&;!|;!;==,iris_train,"../../smalldata/test/classifier/iris_train.csv",filterTask,mungeTask,complexFilterTest_iris_train_165:"compoundFilterTest_ on data iris_train":sepal_len;sepal_wid;petal_len;petal_wid;species:4.22847389557;1.14371370399;2.46935301987;0.947741181445;2.7623839749;1.07411253507;4.13984246243;6.77423326554;3.82453974059;6.52147931414;3.52447145307;4.00050566076;2.40625958017;6.50607454922;6.62452844944;2.01550426182;5.51141061943;0.473849825009;4.82280423931;2.37724569951|"petal_len";"petal_len";"petal_wid";"petal_wid";"sepal_wid";"petal_wid";"sepal_wid";"sepal_len";"sepal_wid";"sepal_len";"sepal_wid";"sepal_wid";"sepal_wid";"petal_len";"petal_len";"petal_len";"sepal_len";"petal_wid";"sepal_len";"petal_wid":6.11650384171;0.276050749753;6.22198573137;3.08378905094;4.75045171267;6.30178502678;5.30986425061;7.39721764769;5.61432492119;4.14852414577;2.61431991773;6.66655216324;2.51947484915;3.14192975032;3.26973305075;1.1000753895;5.1939967832;4.59359214218;7.40096205446;0.287308811331|"sepal_len";"petal_wid";"petal_len";"petal_len";"sepal_len";"sepal_len";"sepal_len";"sepal_len";"sepal_len";"sepal_wid";"sepal_wid";"sepal_len";"petal_len";"sepal_wid";"petal_len";"petal_wid";"sepal_len";"petal_len";"sepal_len";"petal_wid":3.11664722677;6.55658598577;6.54584697695;4.29900328602;5.6346021043;1.61517431273;4.44985746445;2.97379981786;2.7649389578;2.96624540592;1.45441314343;2.42916105066;2.32620068931;1.49710443219;3.66252316219;0.946611280427;4.60744075496;4.92367310294;2.0143601696;7.21006983879|"sepal_wid";"petal_len";"sepal_len";"petal_len";"sepal_len";"petal_wid";"sepal_len";"sepal_wid";"sepal_wid";"sepal_wid";"petal_wid";"sepal_wid";"sepal_wid";"petal_len";"petal_len";"petal_wid";"petal_len";"sepal_len";"petal_len";"sepal_len":6.61694716713;2.09092523504;7.29710830612;1.89766524574;4.88217910076;0.99971082382;1.56389905159;3.98698135332;0.427897382594;5.91623234059;5.90718532263;7.51626965232;4.6033178525;0.930241230808;3.43752716247;2.52941252808;3.13929272179;5.77883767611;2.26276041667;0.692497620723|"petal_len";"petal_wid";"sepal_len";"petal_wid";"petal_len";"petal_wid";"petal_wid";"sepal_wid";"petal_wid";"petal_len";"petal_len";"sepal_len";"sepal_len";"petal_wid";"sepal_wid";"sepal_wid";"sepal_wid";"sepal_len";"sepal_wid";"petal_wid" +complexFilterTest_poisson_tst1_166,!;>;&;<=;&;!|;!;==,poisson_tst1,"../../smalldata/glm_test/poisson_tst1.csv",filterTask,mungeTask,complexFilterTest_poisson_tst1_166:"compoundFilterTest_ on data 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+complexFilterTest_Goalies_167,!;>;&;<=;&;!|;!;==,Goalies,"../../smalldata/poisson/Goalies.csv",filterTask,mungeTask,complexFilterTest_Goalies_167:"compoundFilterTest_ on data 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+complexFilterTest_cars_170,!;>;&;<=;&;!|;!;==,cars,"../../smalldata/cars.csv",filterTask,mungeTask,complexFilterTest_cars_170:"compoundFilterTest_ on data cars":name;economy (mpg);cylinders;displacement (cc);power (hp);weight (lb);0-60 mph (s);year:264.167102478;115.607036947;3069.0096033;38.037976983;5.54617189384;14.8493944969;4.2016388774;24.0533902435;13.1510321305;2411.91037142;39.7948302556;2461.56073574;9.58725583585;29.3508521419;71.3715678667;54.6247603057;19.705424533;5.27015424006;81.3798109869;38.1768271272;7.44479458545;12.0766598276;3555.4188579;74.3874089529;4.8192051733;3.71314372647;149.256907019;353.751705005;77.8415812001;343.659020006|"displacement (cc)";"power (hp)";"weight (lb)";"economy (mpg)";"cylinders";"economy (mpg)";"cylinders";"0-60 mph (s)";"0-60 mph (s)";"weight (lb)";"economy (mpg)";"weight (lb)";"economy (mpg)";"economy (mpg)";"year";"power (hp)";"0-60 mph (s)";"cylinders";"year";"economy (mpg)";"cylinders";"0-60 mph (s)";"weight 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+complexFilterTest_iris_test_numeric_missing_171,!;>;&;<=;&;!|;!;==,iris_test_numeric_missing,"../../smalldata/test/classifier/iris_test_numeric_missing.csv",filterTask,mungeTask,complexFilterTest_iris_test_numeric_missing_171:"compoundFilterTest_ on data 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pbc":0;1;2;3;4;5;6;7;8;9;10;11;12;13;14;15;16;17;18;19:0.75549539349;79.9676547859;3.17526400619;0.797231064645;0.877119878529;4.62803003169;3434.32674091;67.8779948581;4115.36454751;76.0643417573;0.804161731849;0.368098819607;596.669218034;371.660819197;126.842318456;704.388864055;43.3579030819;3.47648835054;164.114225025;0.316683412248;338.07202784;0.735201091205;2809.29292967;0.821790307623;310.911883479;33.5577622147;0.827564415153;423.798968714;110.6383531;2.21218498712;0.904093387076;0.896591838586;1647.00182812;0.249901130237;0.218211821593;0.0853795643868;12.7002497739;259.991556297;305.992783435|"6";"15";"18";"9";"8";"12";"1";"4";"14";"16";"5";"2";"17";"13";"17";"17";"4";"12";"16";"7";"0";"5";"14";"10";"15";"4";"8";"16";"0";"19";"9";"9";"11";"3";"7";"7";"16";"13";"11":24.8087492828;258.515018671;1.45295228844;0.85834150996;803.209638475;0.650753501632;142.028423666;0.105313674111;290.957864894;0.178121925453;0.0830116901539;4657.80756632;3.33487365327;1.87122906957;0.880271592415;0.14609979468;0.652119915633;0.767985276212;0.774354661219;0.836629409059;1177.25835393;4085.95056106;0.024802326859;2081.02643041;5.75248349431;521.134624103;5630.63787306;382.15950331;515.548265178;7664.82152813;0.57093436503;8312.96704309;1613.42609664;3.94694394619;0.408449322614;15.1162404716;0.00420036002661;38.3732976259;545.692746366|"10";"1";"3";"19";"11";"8";"17";"6";"0";"6";"7";"1";"12";"3";"19";"6";"8";"9";"2";"2";"11";"1";"9";"1";"10";"16";"14";"15";"17";"14";"6";"14";"11";"12";"2";"10";"8";"4";"16":3.59532971696;367.590019386;0.0471269824733;10.2064469758;833.05711143;37.7993243686;2135.58638191;7517.74309064;112.799941692;0.50675262093;2.62227777622;0.872194999024;2.78267630413;381.709225679;414.654089425;3.98071621083;0.472227566058;323.399463454;3.05266598458;0.80391369912;167.71108056;0.0574833154042;1.05609130461;1423.68220141;0.901360346838;0.766623504566;0.786799570297;303.139170178;311.287552557;0.0411867368101;0.280577193617;513.991801852;0.975432469594;0.220727050038;2.36112224457;0.365554599672;359.986492526;3.3178746272;495.596128423|"12";"0";"5";"18";"11";"4";"1";"14";"11";"7";"12";"8";"12";"0";"15";"10";"2";"16";"12";"5";"15";"2";"19";"11";"6";"3";"7";"16";"0";"2";"7";"11";"6";"9";"12";"7";"15";"12";"13":158.633513644;286.150849139;41.0296206557;1102.68216831;0.134917485617;21.9249893025;0.0103108701233;20.8878244213;54.5035927801;551.707222917;0.421266315688;0.538227335807;314.888366696;1.13028201909;0.597242465922;1.43500504418;282.11783179;321.796028437;68.0449599652;3.90399079596;68.3269667338;0.0976263296096;0.148860339288;0.707399407722;10.6684704365;23.647301882;3953.36773232;0.622239137258;0.895390648544;4.20578267669;0.317556875127;390.215281836;0.478064447961;2.41374787465;431.605844439;144.58507854;9.62695779175;0.40983274437;1132.100386|"15";"0";"17";"14";"8";"15";"6";"10";"4";"17";"9";"8";"11";"3";"7";"3";"0";"15";"4";"19";"4";"5";"7";"9";"18";"10";"1";"5";"7";"12";"6";"0";"2";"19";"16";"13";"10";"9";"11" diff --git a/R/tests/autoGen/writeFUs.py b/R/tests/autoGen/writeFUs.py index eb43572021..bc71f01bf0 100644 --- a/R/tests/autoGen/writeFUs.py +++ b/R/tests/autoGen/writeFUs.py @@ -7,6 +7,7 @@ from writers import * from makeTestTasks import genTasks from GenUtils import setup_random_seed +import GenUtils def writeFU(FU, data, dataPath, dataTask, taskType, FUParams): wt = WriterTask() @@ -18,17 +19,25 @@ def writeFU(FU, data, dataPath, dataTask, taskType, FUParams): return wt.invoke(switch(taskType)) SEED = setup_random_seed() -with open('./SEED', 'wb') as f: +#s = str(SEED) +#os.system(s +' > seed') + +with open("seed", "wb") as f: f.write(str(SEED)) genTasks() +os.system('git rev-parse HEAD > githash') +#seed = SEED +#task = None with open('./tasks', 'rb') as f: for line in f: + with open("task", "wb") as g: + g.write(line) line = line.strip('\n').split(',') TESTNAME, FU, data, dataPath, dataTask, taskType, FUParams = line test = writeFU(FU,data, dataPath,dataTask,taskType,FUParams) - with open('./genTests/'+TESTNAME+'.R', 'wb') as t: + with open('./genTests/runit_'+TESTNAME.replace("-","_")+'.R', 'wb') as t: t.write(test) os.system('cd genTests; bash alter.sh') diff --git a/R/tests/findNSourceUtils.R b/R/tests/findNSourceUtils.R new file mode 100644 index 0000000000..d786a3b07c --- /dev/null +++ b/R/tests/findNSourceUtils.R @@ -0,0 +1,96 @@ +options(echo=FALSE) +## +# Utilities for relative paths in R +## + +SEARCHPATH <- NULL +calcPath<- +function(path, root) { + if (basename(path) == "h2o") { + print("[WARN]: Could not find the bucket that you specified! Checking R/*.") + SEARCHPATH <<- path + return(-1) + } + if (basename(path) == root || root %in% dir(path)) return(0) + if (basename(dirname(path)) == root || root %in% dir(dirname(path))) return(1) + return(ifelse( calcPath( dirname( path), root) < 0, -1, 1 + calcPath( dirname( path), root) ) ) +} + +genDots<- +function(distance) { + if(distance == 0) return('./') + return(paste(rep("../", distance), collapse="")) +} + +locate<- +function(dataName = NULL, bucket = NULL, path = NULL, fullPath = NULL, schema = "put") { + if (!is.null(fullPath)) { + if (schema == "local") return(paste("./", gsub("[./]",fullPath), sep = "")) + return(fullPath) #schema is put + } + + if(!is.null(bucket)) { + if(is.null(path)) stop("\"path\" must be specified along with bucket. Path is the bucket offset.") + bucket <- gsub("[./]","",bucket) + path <- ifelse(substring(path,1,1) == '/', substring(path,2), path) + path <- ifelse(substring(path,nchar(path)) == '/', substring(path,1,nchar(path)-1),path) + if (schema == "local") return(paste("./",bucket,"/",path,sep = "")) + if (schema == "put") { + distance.bucket.root <- calcPath(getwd(), bucket) + if (distance.bucket.root < 0) { + Log.err(paste("Could not find bucket ", bucket, "\n")) + } + bucket.dots <- genDots(distance.bucket.root) + fullPath <- paste(bucket.dots,bucket,'/',path,sep="") + return(fullPath) + } + if (schema == "S3") stop("Unimpl") + } + + if (!is.null(dataName)) { + bn <- basename(dataName) + dataName <- dirname(dataName) + dataName <- gsub("\\.","", gsub("\\./","",dataName)) + if(!is.null(SEARCHPATH)) return(paste(SEARCHPATH, "/", dataName, sep = "")) + psplit <- strsplit(dataName, "/")[[1]] + bucket <- psplit[1] + path <- paste(psplit[-1], bn, collapse="/", sep = "/") + return(locate(bucket = bucket, path = path, schema = schema)) + } +} + +getBucket<- +function(bucket = NULL) { + if(is.null(bucket)) stop("Did not specify bucket...") + print(bucket) + bucket <- gsub("[./]","",bucket) + distance.bucket.root <- calcPath(getwd(), bucket) + bucket.dots <- genDots(distance.bucket.root) + newBucket <- paste(bucket.dots, bucket, sep ="") + return(newBucket) +} + +distance <- calcPath(getwd(), "tests") +if (distance < 0) { + path <- paste(SEARCHPATH, "/R/", sep = "") + source(paste(path, "tests/Utils/h2oR.R", sep = "")) + source(paste(path, "h2oRClient-package/R/Algorithms.R", sep = "")) + source(paste(path, "h2oRClient-package/R/Classes.R", sep = "")) + source(paste(path, "h2oRClient-package/R/ParseImport.R", sep = "")) + source(paste(path, "h2oRClient-package/R/Internal.R", sep = "")) + sandbox() +} else { + distance <- calcPath(getwd(), "tests") + dots <- genDots(distance) + newPath <- paste(dots, "Utils/h2oR.R", sep = "") + source(newPath) + + #rdots is the calculated path to the R source files... + rdots <- ifelse(dots == "./", "../", paste("../", dots, sep = "")) + + source(paste(rdots, "h2oRClient-package/R/Algorithms.R", sep = "")) + source(paste(rdots, "h2oRClient-package/R/Classes.R", sep = "")) + source(paste(rdots, "h2oRClient-package/R/ParseImport.R", sep = "")) + source(paste(rdots, "h2oRClient-package/R/Internal.R", sep = "")) + sandbox() +} diff --git a/R/tests/runner_all_localhost.sh b/R/tests/runner_all_localhost.sh old mode 100644 new mode 100755 index f776434d7a..1bb828dd71 --- a/R/tests/runner_all_localhost.sh +++ b/R/tests/runner_all_localhost.sh @@ -22,14 +22,15 @@ if [ $? -ne 0 ]; then exit 1 fi -curl http://localhost:54321 +#curl http://localhost:54321 -for test in $(ls *.R) +for test in $(ls */*.R | grep -v Utils) do echo "----------------------------------------------------------------------" echo "Starting $test" echo "----------------------------------------------------------------------" R -f $test 2>&1| tee results/${test}.out + exit 0 RC=${PIPESTATUS[0]} echo exit code $RC if [ $RC -eq 0 ]; then diff --git a/R/tests/testdir_autoGen/Rsandbox/errors.log b/R/tests/testdir_autoGen/Rsandbox/errors.log new file mode 100644 index 0000000000..e66eb3211e --- /dev/null +++ b/R/tests/testdir_autoGen/Rsandbox/errors.log @@ -0,0 +1,2 @@ +[WARN] : message: path[1]="../../smalldata/poisson/Goalies.csv": No such file or directory, call: normalizePath + diff --git a/R/tests/testdir_autoGen/complexFilterTest_100kx7_logreg_b51d06ce_a22f_4961_a3f3_95263e7742ea.R b/R/tests/testdir_autoGen/complexFilterTest_100kx7_logreg_b51d06ce_a22f_4961_a3f3_95263e7742ea.R deleted file mode 100644 index 07dd49e657..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_100kx7_logreg_b51d06ce_a22f_4961_a3f3_95263e7742ea.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_100kx7_logreg_b51d06ce_a22f_4961_a3f3_95263e7742ea <- function(conn) { - Log.info("A munge-task R unit test on data <100kx7_logreg> testing the compound functional unit <['!', '!=']> ") - Log.info("Uploading 100kx7_logreg") - hex <- h2o.uploadFile(conn, "../../../smalldata/logreg/100kx7_logreg.data.gz", "100kx7_logreg.hex") - Log.info("Performing compound task !( ( ( hex[,c(7)] != 0.457564528337 )) ) on dataset <100kx7_logreg>") - filterHex <- hex[!( ( ( hex[,c(7)] != 0.457564528337 )) ),] - Log.info("Performing compound task !( ( ( hex[,c(1)] != 5.49386791684 )) ) on dataset 100kx7_logreg, and also subsetting columns.") - filterHex <- hex[!( ( ( hex[,c(1)] != 5.49386791684 )) ), c(1,3,2,5,4,7,6)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( ( hex[,c(1)] != 5.49386791684 )) ), c(1)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data 100kx7_logreg", complexFilterTest_100kx7_logreg_b51d06ce_a22f_4961_a3f3_95263e7742ea(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_1_100kx7_logreg_5d669e64_0d53_4091_afe0_71f8f797697c.R b/R/tests/testdir_autoGen/complexFilterTest_1_100kx7_logreg_5d669e64_0d53_4091_afe0_71f8f797697c.R deleted file mode 100644 index 2540ede2c5..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_1_100kx7_logreg_5d669e64_0d53_4091_afe0_71f8f797697c.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_1_100kx7_logreg_5d669e64_0d53_4091_afe0_71f8f797697c <- function(conn) { - Log.info("A munge-task R unit test on data <1_100kx7_logreg> testing the compound functional unit <['!', '<=', '|', '==', '&', '<=', '&', '<=', '&', '<=']> ") - Log.info("Uploading 1_100kx7_logreg") - hex <- h2o.uploadFile(conn, "../../../smalldata/1_100kx7_logreg.data.gz", "1_100kx7_logreg.hex") - Log.info("Performing compound task !( ( hex[,c(1)] <= 4.19218841565 ) | ( hex[,c(1)] == 10.5001754137 ) & ( hex[,c(4)] <= 9.90279807272 ) & ( hex[,c(5)] <= -0.0519964799271 ) & ( ( hex[,c(6)] <= 47.6711913854 )) ) on dataset <1_100kx7_logreg>") - filterHex <- hex[!( ( hex[,c(1)] <= 4.19218841565 ) | ( hex[,c(1)] == 10.5001754137 ) & ( hex[,c(4)] <= 9.90279807272 ) & ( hex[,c(5)] <= -0.0519964799271 ) & ( ( hex[,c(6)] <= 47.6711913854 )) ),] - Log.info("Performing compound task !( ( hex[,c(4)] <= 14.8678524116 ) | ( hex[,c(1)] == 8.58117176927 ) & ( hex[,c(6)] <= 349.256492471 ) & ( hex[,c(4)] <= 18.5258253533 ) & ( ( hex[,c(4)] <= 6.90530775855 )) ) on dataset 1_100kx7_logreg, and also subsetting columns.") - filterHex <- hex[!( ( hex[,c(4)] <= 14.8678524116 ) | ( hex[,c(1)] == 8.58117176927 ) & ( hex[,c(6)] <= 349.256492471 ) & ( hex[,c(4)] <= 18.5258253533 ) & ( ( hex[,c(4)] <= 6.90530775855 )) ), c(1,3,2,5,4,7,6)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( hex[,c(4)] <= 14.8678524116 ) | ( hex[,c(1)] == 8.58117176927 ) & ( hex[,c(6)] <= 349.256492471 ) & ( hex[,c(4)] <= 18.5258253533 ) & ( ( hex[,c(4)] <= 6.90530775855 )) ), c(1)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data 1_100kx7_logreg", complexFilterTest_1_100kx7_logreg_5d669e64_0d53_4091_afe0_71f8f797697c(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_2_100kx7_logreg_1b7e0f87_a25d_4829_af4a_125298f3c1be.R b/R/tests/testdir_autoGen/complexFilterTest_2_100kx7_logreg_1b7e0f87_a25d_4829_af4a_125298f3c1be.R deleted file mode 100644 index b29e5efedc..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_2_100kx7_logreg_1b7e0f87_a25d_4829_af4a_125298f3c1be.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_2_100kx7_logreg_1b7e0f87_a25d_4829_af4a_125298f3c1be <- function(conn) { - Log.info("A munge-task R unit test on data <2_100kx7_logreg> testing the compound functional unit <['!', '!=']> ") - Log.info("Uploading 2_100kx7_logreg") - hex <- h2o.uploadFile(conn, "../../../smalldata/2_100kx7_logreg.data.gz", "2_100kx7_logreg.hex") - Log.info("Performing compound task !( ( ( hex[,c(6)] != 483.858800578 )) ) on dataset <2_100kx7_logreg>") - filterHex <- hex[!( ( ( hex[,c(6)] != 483.858800578 )) ),] - Log.info("Performing compound task !( ( ( hex[,c(6)] != 83.3938048129 )) ) on dataset 2_100kx7_logreg, and also subsetting columns.") - filterHex <- hex[!( ( ( hex[,c(6)] != 83.3938048129 )) ), c(1,3,2,5,4,7,6)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( ( hex[,c(6)] != 83.3938048129 )) ), c(1)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data 2_100kx7_logreg", complexFilterTest_2_100kx7_logreg_1b7e0f87_a25d_4829_af4a_125298f3c1be(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_2_100kx7_logreg_1e3b090a_323e_4d53_8521_1d53c7ab5983.R b/R/tests/testdir_autoGen/complexFilterTest_2_100kx7_logreg_1e3b090a_323e_4d53_8521_1d53c7ab5983.R deleted file mode 100644 index 4a99ccde76..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_2_100kx7_logreg_1e3b090a_323e_4d53_8521_1d53c7ab5983.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_2_100kx7_logreg_1e3b090a_323e_4d53_8521_1d53c7ab5983 <- function(conn) { - Log.info("A munge-task R unit test on data <2_100kx7_logreg> testing the compound functional unit <['!', '<=', '|', '==', '&', '<=', '&', '<=', '&', '<=']> ") - Log.info("Uploading 2_100kx7_logreg") - hex <- h2o.uploadFile(conn, "../../../smalldata/2_100kx7_logreg.data.gz", "2_100kx7_logreg.hex") - Log.info("Performing compound task !( ( hex[,c(1)] <= 0.672826850886 ) | ( hex[,c(7)] == 0.0152460645125 ) & ( hex[,c(1)] <= 3.74865479017 ) & ( hex[,c(3)] <= 13.9596836438 ) & ( ( hex[,c(3)] <= 10.5156097385 )) ) on dataset <2_100kx7_logreg>") - filterHex <- hex[!( ( hex[,c(1)] <= 0.672826850886 ) | ( hex[,c(7)] == 0.0152460645125 ) & ( hex[,c(1)] <= 3.74865479017 ) & ( hex[,c(3)] <= 13.9596836438 ) & ( ( hex[,c(3)] <= 10.5156097385 )) ),] - Log.info("Performing compound task !( ( hex[,c(6)] <= 129.452749633 ) | ( hex[,c(7)] == 0.503003725881 ) & ( hex[,c(7)] <= 0.910476115939 ) & ( hex[,c(5)] <= 0.354693731191 ) & ( ( hex[,c(4)] <= 7.07902241051 )) ) on dataset 2_100kx7_logreg, and also subsetting columns.") - filterHex <- hex[!( ( hex[,c(6)] <= 129.452749633 ) | ( hex[,c(7)] == 0.503003725881 ) & ( hex[,c(7)] <= 0.910476115939 ) & ( hex[,c(5)] <= 0.354693731191 ) & ( ( hex[,c(4)] <= 7.07902241051 )) ), c(5,4,7,6)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( hex[,c(6)] <= 129.452749633 ) | ( hex[,c(7)] == 0.503003725881 ) & ( hex[,c(7)] <= 0.910476115939 ) & ( hex[,c(5)] <= 0.354693731191 ) & ( ( hex[,c(4)] <= 7.07902241051 )) ), c(1,3,2)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data 2_100kx7_logreg", complexFilterTest_2_100kx7_logreg_1e3b090a_323e_4d53_8521_1d53c7ab5983(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_AirlinesTest_3f4aff28_4966_4c31_b007_6d012f54f802.R b/R/tests/testdir_autoGen/complexFilterTest_AirlinesTest_3f4aff28_4966_4c31_b007_6d012f54f802.R deleted file mode 100644 index 63e08b4d5d..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_AirlinesTest_3f4aff28_4966_4c31_b007_6d012f54f802.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_AirlinesTest_3f4aff28_4966_4c31_b007_6d012f54f802 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '!=']> ") - Log.info("Uploading AirlinesTest") - hex <- h2o.uploadFile(conn, "../../../smalldata/airlines/AirlinesTest.csv.zip", "AirlinesTest.hex") - Log.info("Performing compound task !( ( ( hex[,c(\"Distance\")] != 2899.36699946 )) ) on dataset ") - filterHex <- hex[!( ( ( hex[,c("Distance")] != 2899.36699946 )) ),] - Log.info("Performing compound task !( ( ( hex[,c(\"DepTime\")] != 162.556113517 )) ) on dataset AirlinesTest, and also subsetting columns.") - filterHex <- hex[!( ( ( hex[,c("DepTime")] != 162.556113517 )) ), c("DepTime","Distance","IsDepDelayed_REC","ArrTime")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( ( hex[,c("DepTime")] != 162.556113517 )) ), c("Origin","fDayofMonth","fMonth","fDayOfWeek","IsDepDelayed","fYear","Dest","UniqueCarrier")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data AirlinesTest", complexFilterTest_AirlinesTest_3f4aff28_4966_4c31_b007_6d012f54f802(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_AllBedrooms_Rent_Neighborhoods_090bf6ed_94dc_44e4_80fd_7abd5b1d81a9.R b/R/tests/testdir_autoGen/complexFilterTest_AllBedrooms_Rent_Neighborhoods_090bf6ed_94dc_44e4_80fd_7abd5b1d81a9.R deleted file mode 100644 index f2ad389b87..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_AllBedrooms_Rent_Neighborhoods_090bf6ed_94dc_44e4_80fd_7abd5b1d81a9.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_AllBedrooms_Rent_Neighborhoods_090bf6ed_94dc_44e4_80fd_7abd5b1d81a9 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '!=']> ") - Log.info("Uploading AllBedrooms_Rent_Neighborhoods") - hex <- h2o.uploadFile(conn, "../../../smalldata/categoricals/AllBedrooms_Rent_Neighborhoods.csv.gz", "AllBedrooms_Rent_Neighborhoods.hex") - Log.info("Performing compound task !( ( ( hex[,c(\"count49\")] != 10598.5132528 )) ) on dataset ") - filterHex <- hex[!( ( ( hex[,c("count49")] != 10598.5132528 )) ),] - Log.info("Performing compound task !( ( ( hex[,c(\"count39\")] != 47553.8829688 )) ) on dataset AllBedrooms_Rent_Neighborhoods, and also subsetting columns.") - filterHex <- hex[!( ( ( hex[,c("count39")] != 47553.8829688 )) ), c("metro","count5","count18","count54","count42","count76","count15","count26","count1","place","count30","count57","count91","count79","count83","count87","count85","count65","count92","count39","state","count19","count88","count51","count78","count23")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( ( hex[,c("count39")] != 47553.8829688 )) ), c("mcd","count81","count7","count93","count68","count40","count46","count44","count72","count3","count50","count99","count52","count59","Rent_Type","count20","count49","count36","count24","count45","count32","count8","county","count74","areaname","count67","count97","count38","count13","count95","count34","count17","count98","count11","count22","count6","count70","count4","count28","count90","count63","count80","count29","medrent","count53","count58","count55","count62","count61","count47","count77","count89","count43","count75","count41","count2","count60","count31","count14","count37","count16","count21","count33","sumlevel","count69","count25","count27","count9","count71","count12","count84","count82","count66","count56","count86","count73","count48","count94","count64","count96","count35","count10")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data AllBedrooms_Rent_Neighborhoods", complexFilterTest_AllBedrooms_Rent_Neighborhoods_090bf6ed_94dc_44e4_80fd_7abd5b1d81a9(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_AllBedrooms_Rent_Neighborhoods_9ce72e2e_ebf3_4b41_b59f_1728d3172614.R b/R/tests/testdir_autoGen/complexFilterTest_AllBedrooms_Rent_Neighborhoods_9ce72e2e_ebf3_4b41_b59f_1728d3172614.R deleted file mode 100644 index e55be7ff2c..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_AllBedrooms_Rent_Neighborhoods_9ce72e2e_ebf3_4b41_b59f_1728d3172614.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_AllBedrooms_Rent_Neighborhoods_9ce72e2e_ebf3_4b41_b59f_1728d3172614 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '<', '&', '<']> ") - Log.info("Uploading AllBedrooms_Rent_Neighborhoods") - hex <- h2o.uploadFile(conn, "../../../smalldata/categoricals/AllBedrooms_Rent_Neighborhoods.csv.gz", "AllBedrooms_Rent_Neighborhoods.hex") - Log.info("Performing compound task ( hex[,c(\"count14\")] != 229593.996541 ) | ( hex[,c(\"count73\")] < 3142.0197764 ) & ( ( hex[,c(\"count56\")] < 17922.6924661 )) on dataset ") - filterHex <- hex[( hex[,c("count14")] != 229593.996541 ) | ( hex[,c("count73")] < 3142.0197764 ) & ( ( hex[,c("count56")] < 17922.6924661 )) ,] - Log.info("Performing compound task ( hex[,c(\"count80\")] != 1375.57734805 ) | ( hex[,c(\"count97\")] < 971.326360191 ) & ( ( hex[,c(\"count20\")] < 497951.387286 )) on dataset AllBedrooms_Rent_Neighborhoods, and also subsetting columns.") - filterHex <- hex[( hex[,c("count80")] != 1375.57734805 ) | ( hex[,c("count97")] < 971.326360191 ) & ( ( hex[,c("count20")] < 497951.387286 )) , c("count81","count7","count46","count72","count76","count74","count59","count26","count20","count63","count8","count52","count97","count91","count34","count17","count87","count22","count65","count15","count39","count80","medrent","count75","count47","count51","count69","count60","count58","count16","sumlevel","count25","count27","count78","count62")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c("count80")] != 1375.57734805 ) | ( hex[,c("count97")] < 971.326360191 ) & ( ( hex[,c("count20")] < 497951.387286 )) , c("mcd","count57","count1","count5","count54","count28","count93","count42","count40","count44","count18","count3","count50","count99","count89","count68","Rent_Type","metro","count36","count24","count45","count32","place","count30","county","areaname","count67","count38","count13","count83","count95","count98","count11","count85","count6","count79","count4","count90","state","count29","count55","count53","count61","count19","count88","count77","count43","count41","count73","count2","count49","count31","count14","count37","count21","count33","count56","count92","count9","count71","count12","count84","count82","count66","count70","count86","count23","count48","count94","count64","count96","count35","count10")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data AllBedrooms_Rent_Neighborhoods", complexFilterTest_AllBedrooms_Rent_Neighborhoods_9ce72e2e_ebf3_4b41_b59f_1728d3172614(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_HTWO-87-one-line-dataset-2unix_63165766_9303_43f8_bee8_e71784da62a0.R b/R/tests/testdir_autoGen/complexFilterTest_HTWO-87-one-line-dataset-2unix_63165766_9303_43f8_bee8_e71784da62a0.R deleted file mode 100644 index 7930abe5df..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_HTWO-87-one-line-dataset-2unix_63165766_9303_43f8_bee8_e71784da62a0.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_HTWO-87-one-line-dataset-2unix_63165766_9303_43f8_bee8_e71784da62a0 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '==', '&', '!|', '!', '>']> ") - Log.info("Uploading HTWO-87-one-line-dataset-2unix") - hex <- h2o.uploadFile(conn, "../../../smalldata/test/HTWO-87-one-line-dataset-2unix.csv", "HTWO-87-one-line-dataset-2unix.hex") - Log.info("Performing compound task ( hex[,c(5)] != 0.0 ) | ( hex[,c(1)] == 0.0 ) & ( hex[,c(7)] !| 5.0 ) ! ( hex[,c(1)] > 10.0 ) on dataset ") - filterHex <- hex[( hex[,c(5)] != 0.0 ) | ( hex[,c(1)] == 0.0 ) & ( hex[,c(7)] !| 5.0 ) ! ( hex[,c(1)] > 10.0 ),] - Log.info("Performing compound task ( hex[,c(3)] != 5.0 ) | ( hex[,c(1)] == 10.0 ) & ( hex[,c(1)] !| 0.0 ) ! ( hex[,c(1)] > 0.0 ) on dataset HTWO-87-one-line-dataset-2unix, and also subsetting columns.") - filterHex <- hex[( hex[,c(3)] != 5.0 ) | ( hex[,c(1)] == 10.0 ) & ( hex[,c(1)] !| 0.0 ) ! ( hex[,c(1)] > 0.0 ), c(1,3,2,5,4,7,6,8)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c(3)] != 5.0 ) | ( hex[,c(1)] == 10.0 ) & ( hex[,c(1)] !| 0.0 ) ! ( hex[,c(1)] > 0.0 ), c(1)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data HTWO-87-one-line-dataset-2unix", complexFilterTest_HTWO-87-one-line-dataset-2unix_63165766_9303_43f8_bee8_e71784da62a0(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_HTWO-87-two-unique-lines-dataset_0a7718d3_68fd_47ad_838a_7dd1907c9394.R b/R/tests/testdir_autoGen/complexFilterTest_HTWO-87-two-unique-lines-dataset_0a7718d3_68fd_47ad_838a_7dd1907c9394.R deleted file mode 100644 index 3c19710d43..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_HTWO-87-two-unique-lines-dataset_0a7718d3_68fd_47ad_838a_7dd1907c9394.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_HTWO-87-two-unique-lines-dataset_0a7718d3_68fd_47ad_838a_7dd1907c9394 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '==', '&', '!|', '!', '>']> ") - Log.info("Uploading HTWO-87-two-unique-lines-dataset") - hex <- h2o.uploadFile(conn, "../../../smalldata/test/HTWO-87-two-unique-lines-dataset.csv", "HTWO-87-two-unique-lines-dataset.hex") - Log.info("Performing compound task ( hex[,c(5)] != 0.0 ) | ( hex[,c(8)] == 0.201214387806 ) & ( hex[,c(2)] !| 0.0 ) ! ( hex[,c(1)] > 0.0 ) on dataset ") - filterHex <- hex[( hex[,c(5)] != 0.0 ) | ( hex[,c(8)] == 0.201214387806 ) & ( hex[,c(2)] !| 0.0 ) ! ( hex[,c(1)] > 0.0 ),] - Log.info("Performing compound task ( hex[,c(1)] != 0.0 ) | ( hex[,c(1)] == 0.0 ) & ( hex[,c(3)] !| 5.0 ) ! ( hex[,c(6)] > 0.0 ) on dataset HTWO-87-two-unique-lines-dataset, and also subsetting columns.") - filterHex <- hex[( hex[,c(1)] != 0.0 ) | ( hex[,c(1)] == 0.0 ) & ( hex[,c(3)] !| 5.0 ) ! ( hex[,c(6)] > 0.0 ), c(1,3,5,4,7,6,8)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c(1)] != 0.0 ) | ( hex[,c(1)] == 0.0 ) & ( hex[,c(3)] !| 5.0 ) ! ( hex[,c(6)] > 0.0 ), c(2)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data HTWO-87-two-unique-lines-dataset", complexFilterTest_HTWO-87-two-unique-lines-dataset_0a7718d3_68fd_47ad_838a_7dd1907c9394(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_TwoBedrooms_Rent_Neighborhoods_59cf3861_baae_4ef2_b033_ac54f7f72fdf.R b/R/tests/testdir_autoGen/complexFilterTest_TwoBedrooms_Rent_Neighborhoods_59cf3861_baae_4ef2_b033_ac54f7f72fdf.R deleted file mode 100644 index fb4ed274ee..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_TwoBedrooms_Rent_Neighborhoods_59cf3861_baae_4ef2_b033_ac54f7f72fdf.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_TwoBedrooms_Rent_Neighborhoods_59cf3861_baae_4ef2_b033_ac54f7f72fdf <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '<=', '|', '==', '&', '<=', '&', '<=', '&', '<=']> ") - Log.info("Uploading TwoBedrooms_Rent_Neighborhoods") - hex <- h2o.uploadFile(conn, "../../../smalldata/categoricals/TwoBedrooms_Rent_Neighborhoods.csv.gz", "TwoBedrooms_Rent_Neighborhoods.hex") - Log.info("Performing compound task !( ( hex[,c(\"count90\")] <= 414.635214557 ) | ( hex[,c(\"count33\")] == 264378.946925 ) & ( hex[,c(\"count77\")] <= 4904.55438684 ) & ( hex[,c(\"count13\")] <= 253978.230182 ) & ( ( hex[,c(\"count70\")] <= 6523.37376873 )) ) on dataset ") - filterHex <- hex[!( ( hex[,c("count90")] <= 414.635214557 ) | ( hex[,c("count33")] == 264378.946925 ) & ( hex[,c("count77")] <= 4904.55438684 ) & ( hex[,c("count13")] <= 253978.230182 ) & ( ( hex[,c("count70")] <= 6523.37376873 )) ),] - Log.info("Performing compound task !( ( hex[,c(\"count5\")] <= 51748.6978347 ) | ( hex[,c(\"count44\")] == 18609.069335 ) & ( hex[,c(\"count93\")] <= 458.083086028 ) & ( hex[,c(\"count24\")] <= 444599.11939 ) & ( ( hex[,c(\"count73\")] <= 5468.59579675 )) ) on dataset TwoBedrooms_Rent_Neighborhoods, and also subsetting columns.") - filterHex <- hex[!( ( hex[,c("count5")] <= 51748.6978347 ) | ( hex[,c("count44")] == 18609.069335 ) & ( hex[,c("count93")] <= 458.083086028 ) & ( hex[,c("count24")] <= 444599.11939 ) & ( ( hex[,c("count73")] <= 5468.59579675 )) ), c("mcd","count5","count18","count93","count51","count46","count9","count54","count42","count76","count99","count59","count61","count20","count63","count36","count24","count30","count57","count67","count38","count79","count95","count34","count87","count85","count22","count92","state","count29","count55","count75","count73","count47","count77","count69","count41","count60","count31","count16","count21","count70","count25","count53","count44","count82","count19","count35")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( hex[,c("count5")] <= 51748.6978347 ) | ( hex[,c("count44")] == 18609.069335 ) & ( hex[,c("count93")] <= 458.083086028 ) & ( hex[,c("count24")] <= 444599.11939 ) & ( ( hex[,c("count73")] <= 5468.59579675 )) ), c("count1","count81","count7","count68","count40","count71","count72","count3","count50","count52","count15","count26","Rent_Type","metro","count78","count45","count32","place","count8","county","count74","areaname","count97","count91","count13","count83","count17","count98","count11","count39","count65","count6","count4","count28","count90","count80","medrent","count58","count88","count43","count62","count2","count49","count14","count37","count89","count33","sumlevel","count27","count12","count84","count66","count56","count86","count23","count48","count94","count64","count96","count10")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data TwoBedrooms_Rent_Neighborhoods", complexFilterTest_TwoBedrooms_Rent_Neighborhoods_59cf3861_baae_4ef2_b033_ac54f7f72fdf(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_USArrests_b6fc4b70_7f77_4e27_b1d7_52690cbf2ae4.R b/R/tests/testdir_autoGen/complexFilterTest_USArrests_b6fc4b70_7f77_4e27_b1d7_52690cbf2ae4.R deleted file mode 100644 index d6e806070b..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_USArrests_b6fc4b70_7f77_4e27_b1d7_52690cbf2ae4.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_USArrests_b6fc4b70_7f77_4e27_b1d7_52690cbf2ae4 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '<', '&', '<']> ") - Log.info("Uploading USArrests") - hex <- h2o.uploadFile(conn, "../../../smalldata/pca_test/USArrests.csv", "USArrests.hex") - Log.info("Performing compound task ( hex[,c(\"Rape\")] != 29.0433841965 ) | ( hex[,c(\"Assault\")] < 305.53057837 ) & ( ( hex[,c(\"Assault\")] < 80.9612165181 )) on dataset ") - filterHex <- hex[( hex[,c("Rape")] != 29.0433841965 ) | ( hex[,c("Assault")] < 305.53057837 ) & ( ( hex[,c("Assault")] < 80.9612165181 )) ,] - Log.info("Performing compound task ( hex[,c(\"Murder\")] != 13.280322888 ) | ( hex[,c(\"Assault\")] < 158.450499626 ) & ( ( hex[,c(\"Rape\")] < 7.53939156756 )) on dataset USArrests, and also subsetting columns.") - filterHex <- hex[( hex[,c("Murder")] != 13.280322888 ) | ( hex[,c("Assault")] < 158.450499626 ) & ( ( hex[,c("Rape")] < 7.53939156756 )) , c("UrbanPop","Assault","Rape","Murder")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c("Murder")] != 13.280322888 ) | ( hex[,c("Assault")] < 158.450499626 ) & ( ( hex[,c("Rape")] < 7.53939156756 )) , c(1)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data USArrests", complexFilterTest_USArrests_b6fc4b70_7f77_4e27_b1d7_52690cbf2ae4(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_allyears2k_a15736c0_0ca7_4b1b_9a12_7f37d7ce250d.R b/R/tests/testdir_autoGen/complexFilterTest_allyears2k_a15736c0_0ca7_4b1b_9a12_7f37d7ce250d.R deleted file mode 100644 index ccb96055da..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_allyears2k_a15736c0_0ca7_4b1b_9a12_7f37d7ce250d.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_allyears2k_a15736c0_0ca7_4b1b_9a12_7f37d7ce250d <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '==', '&', '!|', '!', '>']> ") - Log.info("Uploading allyears2k") - hex <- h2o.uploadFile(conn, "../../../smalldata/airlines/allyears2k.zip", "allyears2k.hex") - Log.info("Performing compound task ( hex[,c(2)] != 6.90065475459 ) | ( hex[,c(14)] == 172.079419147 ) & ( hex[,c(20)] !| 0.155299061352 ) ! ( hex[,c(27)] > 12.8028555623 ) on dataset ") - filterHex <- hex[( hex[,c(2)] != 6.90065475459 ) | ( hex[,c(14)] == 172.079419147 ) & ( hex[,c(20)] !| 0.155299061352 ) ! ( hex[,c(27)] > 12.8028555623 ),] - Log.info("Performing compound task ( hex[,c(10)] != 30.9048046036 ) | ( hex[,c(21)] == 0.200277696014 ) & ( hex[,c(24)] !| 135.835913504 ) ! ( hex[,c(23)] > 0.641467608756 ) on dataset allyears2k, and also subsetting columns.") - filterHex <- hex[( hex[,c(10)] != 30.9048046036 ) | ( hex[,c(21)] == 0.200277696014 ) & ( hex[,c(24)] !| 135.835913504 ) ! ( hex[,c(23)] > 0.641467608756 ), c(24,10,21,23,19,28,5,7)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c(10)] != 30.9048046036 ) | ( hex[,c(21)] == 0.200277696014 ) & ( hex[,c(24)] !| 135.835913504 ) ! ( hex[,c(23)] > 0.641467608756 ), c(25,26,27,20,22,29,1,3,2,4,6,9,8,11,13,12,15,14,17,16,18,30)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data allyears2k", complexFilterTest_allyears2k_a15736c0_0ca7_4b1b_9a12_7f37d7ce250d(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_arit_0640ef37_666e_492f_8d0d_b9c3f0ea50a3.R b/R/tests/testdir_autoGen/complexFilterTest_arit_0640ef37_666e_492f_8d0d_b9c3f0ea50a3.R deleted file mode 100644 index cbea332948..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_arit_0640ef37_666e_492f_8d0d_b9c3f0ea50a3.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_arit_0640ef37_666e_492f_8d0d_b9c3f0ea50a3 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '!=']> ") - Log.info("Uploading arit") - hex <- h2o.uploadFile(conn, "../../../smalldata/test/arit.csv", "arit.hex") - Log.info("Performing compound task !( ( ( hex[,c(1)] != 434392.292205 )) ) on dataset ") - filterHex <- hex[!( ( ( hex[,c(1)] != 434392.292205 )) ),] - Log.info("Performing compound task !( ( ( hex[,c(1)] != 912055.553811 )) ) on dataset arit, and also subsetting columns.") - filterHex <- hex[!( ( ( hex[,c(1)] != 912055.553811 )) ), c(1)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( ( hex[,c(1)] != 912055.553811 )) ), c(1)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data arit", complexFilterTest_arit_0640ef37_666e_492f_8d0d_b9c3f0ea50a3(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_baddata_27573e99_968b_44a6_9f20_9e4f95ccf549.R b/R/tests/testdir_autoGen/complexFilterTest_baddata_27573e99_968b_44a6_9f20_9e4f95ccf549.R deleted file mode 100644 index ad6c1fab79..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_baddata_27573e99_968b_44a6_9f20_9e4f95ccf549.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_baddata_27573e99_968b_44a6_9f20_9e4f95ccf549 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '!=']> ") - Log.info("Uploading baddata") - hex <- h2o.uploadFile(conn, "../../../smalldata/baddata.data", "baddata.hex") - Log.info("Performing compound task !( ( ( hex[,c(1)] != 10.5407299971 )) ) on dataset ") - filterHex <- hex[!( ( ( hex[,c(1)] != 10.5407299971 )) ),] - Log.info("Performing compound task !( ( ( hex[,c(1)] != 4.48314687698 )) ) on dataset baddata, and also subsetting columns.") - filterHex <- hex[!( ( ( hex[,c(1)] != 4.48314687698 )) ), c(1)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( ( hex[,c(1)] != 4.48314687698 )) ), c(1)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data baddata", complexFilterTest_baddata_27573e99_968b_44a6_9f20_9e4f95ccf549(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_baddata_2b1dc302_7437_46b8_853a_e935ee685176.R b/R/tests/testdir_autoGen/complexFilterTest_baddata_2b1dc302_7437_46b8_853a_e935ee685176.R deleted file mode 100644 index c6cfa71321..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_baddata_2b1dc302_7437_46b8_853a_e935ee685176.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_baddata_2b1dc302_7437_46b8_853a_e935ee685176 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '<', '&', '<']> ") - Log.info("Uploading baddata") - hex <- h2o.uploadFile(conn, "../../../smalldata/baddata.data", "baddata.hex") - Log.info("Performing compound task ( hex[,c(1)] != 20.5404642092 ) | ( hex[,c(1)] < 0.0446886456111 ) & ( ( hex[,c(1)] < 4.50681616077 )) on dataset ") - filterHex <- hex[( hex[,c(1)] != 20.5404642092 ) | ( hex[,c(1)] < 0.0446886456111 ) & ( ( hex[,c(1)] < 4.50681616077 )) ,] - Log.info("Performing compound task ( hex[,c(1)] != 13.7168229624 ) | ( hex[,c(1)] < 0.609632565351 ) & ( ( hex[,c(1)] < 7.71408242318 )) on dataset baddata, and also subsetting columns.") - filterHex <- hex[( hex[,c(1)] != 13.7168229624 ) | ( hex[,c(1)] < 0.609632565351 ) & ( ( hex[,c(1)] < 7.71408242318 )) , c(1)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c(1)] != 13.7168229624 ) | ( hex[,c(1)] < 0.609632565351 ) & ( ( hex[,c(1)] < 7.71408242318 )) , c(1)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data baddata", complexFilterTest_baddata_2b1dc302_7437_46b8_853a_e935ee685176(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_chdage_3e2ee341_5ec7_4fc2_8255_73e25cd77aa8.R b/R/tests/testdir_autoGen/complexFilterTest_chdage_3e2ee341_5ec7_4fc2_8255_73e25cd77aa8.R deleted file mode 100644 index f1aef4ac83..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_chdage_3e2ee341_5ec7_4fc2_8255_73e25cd77aa8.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_chdage_3e2ee341_5ec7_4fc2_8255_73e25cd77aa8 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '<', '&', '<']> ") - Log.info("Uploading chdage") - hex <- h2o.uploadFile(conn, "../../../smalldata/logreg/umass_statdata/chdage.dat", "chdage.hex") - Log.info("Performing compound task ( hex[,c(\"ID\")] != 39.462276831 ) | ( hex[,c(\"AGE\")] < 25.6251597199 ) & ( ( hex[,c(\"AGE\")] < 35.3945999393 )) on dataset ") - filterHex <- hex[( hex[,c("ID")] != 39.462276831 ) | ( hex[,c("AGE")] < 25.6251597199 ) & ( ( hex[,c("AGE")] < 35.3945999393 )) ,] - Log.info("Performing compound task ( hex[,c(\"ID\")] != 20.865413136 ) | ( hex[,c(\"CHD\")] < 0.619338980336 ) & ( ( hex[,c(\"AGE\")] < 22.5728713467 )) on dataset chdage, and also subsetting columns.") - filterHex <- hex[( hex[,c("ID")] != 20.865413136 ) | ( hex[,c("CHD")] < 0.619338980336 ) & ( ( hex[,c("AGE")] < 22.5728713467 )) , c("CHD","ID","AGE")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c("ID")] != 20.865413136 ) | ( hex[,c("CHD")] < 0.619338980336 ) & ( ( hex[,c("AGE")] < 22.5728713467 )) , c(1)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data chdage", complexFilterTest_chdage_3e2ee341_5ec7_4fc2_8255_73e25cd77aa8(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_chdage_cleaned_345ecbfd_f3f6_4d58_933f_50700e7747ba.R b/R/tests/testdir_autoGen/complexFilterTest_chdage_cleaned_345ecbfd_f3f6_4d58_933f_50700e7747ba.R deleted file mode 100644 index 9308d0ba4a..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_chdage_cleaned_345ecbfd_f3f6_4d58_933f_50700e7747ba.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_chdage_cleaned_345ecbfd_f3f6_4d58_933f_50700e7747ba <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '<=', '|', '==', '&', '<=', '&', '<=', '&', '<=']> ") - Log.info("Uploading chdage_cleaned") - hex <- h2o.uploadFile(conn, "../../../smalldata/logreg/umass_statdata/chdage_cleaned.dat", "chdage_cleaned.hex") - Log.info("Performing compound task !( ( hex[,c(1)] <= 22.9613840654 ) | ( hex[,c(1)] == 86.2085583973 ) & ( hex[,c(1)] <= 47.8805512685 ) & ( hex[,c(2)] <= 0.435276783181 ) & ( ( hex[,c(1)] <= 5.70454593138 )) ) on dataset ") - filterHex <- hex[!( ( hex[,c(1)] <= 22.9613840654 ) | ( hex[,c(1)] == 86.2085583973 ) & ( hex[,c(1)] <= 47.8805512685 ) & ( hex[,c(2)] <= 0.435276783181 ) & ( ( hex[,c(1)] <= 5.70454593138 )) ),] - Log.info("Performing compound task !( ( hex[,c(1)] <= 22.2959488932 ) | ( hex[,c(1)] == 58.7511572311 ) & ( hex[,c(1)] <= 10.7986949624 ) & ( hex[,c(2)] <= 0.569495396766 ) & ( ( hex[,c(1)] <= 1.38984410836 )) ) on dataset chdage_cleaned, and also subsetting columns.") - filterHex <- hex[!( ( hex[,c(1)] <= 22.2959488932 ) | ( hex[,c(1)] == 58.7511572311 ) & ( hex[,c(1)] <= 10.7986949624 ) & ( hex[,c(2)] <= 0.569495396766 ) & ( ( hex[,c(1)] <= 1.38984410836 )) ), c(1,2)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( hex[,c(1)] <= 22.2959488932 ) | ( hex[,c(1)] == 58.7511572311 ) & ( hex[,c(1)] <= 10.7986949624 ) & ( hex[,c(2)] <= 0.569495396766 ) & ( ( hex[,c(1)] <= 1.38984410836 )) ), c(1)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data chdage_cleaned", complexFilterTest_chdage_cleaned_345ecbfd_f3f6_4d58_933f_50700e7747ba(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_claim_prediction_train_set_10000_int_47a38fb3_8e75_4ec3_8e93_4eb9fa8cc4aa.R b/R/tests/testdir_autoGen/complexFilterTest_claim_prediction_train_set_10000_int_47a38fb3_8e75_4ec3_8e93_4eb9fa8cc4aa.R deleted file mode 100644 index 4d7315dda1..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_claim_prediction_train_set_10000_int_47a38fb3_8e75_4ec3_8e93_4eb9fa8cc4aa.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_claim_prediction_train_set_10000_int_47a38fb3_8e75_4ec3_8e93_4eb9fa8cc4aa <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '<=', '|', '==', '&', '<=', '&', '<=', '&', '<=']> ") - Log.info("Uploading claim_prediction_train_set_10000_int") - hex <- h2o.uploadFile(conn, "../../../smalldata/allstate/claim_prediction_train_set_10000_int.csv.gz", "claim_prediction_train_set_10000_int.hex") - Log.info("Performing compound task !( ( hex[,c(\"Var7\")] <= -0.465044850779 ) | ( hex[,c(\"NVVar2\")] == 3.93090044997 ) & ( hex[,c(\"Var1\")] <= -0.607185951619 ) & ( hex[,c(\"Var1\")] <= 0.645258215767 ) & ( ( hex[,c(\"Vehicle\")] <= 13.4345323137 )) ) on dataset ") - filterHex <- hex[!( ( hex[,c("Var7")] <= -0.465044850779 ) | ( hex[,c("NVVar2")] == 3.93090044997 ) & ( hex[,c("Var1")] <= -0.607185951619 ) & ( hex[,c("Var1")] <= 0.645258215767 ) & ( ( hex[,c("Vehicle")] <= 13.4345323137 )) ),] - Log.info("Performing compound task !( ( hex[,c(\"OrdCat\")] <= 1.03743451884 ) | ( hex[,c(\"Vehicle\")] == 10.1540096984 ) & ( hex[,c(\"NVVar2\")] <= 0.0289171567619 ) & ( hex[,c(\"NVVar3\")] <= 5.15116359051 ) & ( ( hex[,c(\"Model_Year\")] <= 1988.14337739 )) ) on dataset claim_prediction_train_set_10000_int, and also subsetting columns.") - filterHex <- hex[!( ( hex[,c("OrdCat")] <= 1.03743451884 ) | ( hex[,c("Vehicle")] == 10.1540096984 ) & ( hex[,c("NVVar2")] <= 0.0289171567619 ) & ( hex[,c("NVVar3")] <= 5.15116359051 ) & ( ( hex[,c("Model_Year")] <= 1988.14337739 )) ), c("Vehicle","Var6","OrdCat","Var5","Var4","NVVar1","Household_ID","Var7","Var1","NVVar4","NVVar2","NVVar3","Row_ID","Model_Year","Var8")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( hex[,c("OrdCat")] <= 1.03743451884 ) | ( hex[,c("Vehicle")] == 10.1540096984 ) & ( hex[,c("NVVar2")] <= 0.0289171567619 ) & ( hex[,c("NVVar3")] <= 5.15116359051 ) & ( ( hex[,c("Model_Year")] <= 1988.14337739 )) ), c("Cat6","Calendar_Year","Cat8","Cat7","Cat1","Cat11","Claim_Amount","Cat5","Var2","Cat9","Blind_Make","NVCat","Cat12","Var3","Cat4","Cat10","Blind_Submodel","Blind_Model","Cat2","Cat3")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data claim_prediction_train_set_10000_int", complexFilterTest_claim_prediction_train_set_10000_int_47a38fb3_8e75_4ec3_8e93_4eb9fa8cc4aa(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_copen_7cbc2919_289a_4304_80b3_f1d91b53a731.R b/R/tests/testdir_autoGen/complexFilterTest_copen_7cbc2919_289a_4304_80b3_f1d91b53a731.R deleted file mode 100644 index 35a31e8635..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_copen_7cbc2919_289a_4304_80b3_f1d91b53a731.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_copen_7cbc2919_289a_4304_80b3_f1d91b53a731 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '<', '&', '<']> ") - Log.info("Uploading copen") - hex <- h2o.uploadFile(conn, "../../../smalldata/logreg/princeton/copen.dat", "copen.hex") - Log.info("Performing compound task ( hex[,c(\"n\")] != 54.8851325808 ) | ( hex[,c(\"n\")] < 64.1058272035 ) & ( ( hex[,c(\"n\")] < 73.8981572424 )) on dataset ") - filterHex <- hex[( hex[,c("n")] != 54.8851325808 ) | ( hex[,c("n")] < 64.1058272035 ) & ( ( hex[,c("n")] < 73.8981572424 )) ,] - Log.info("Performing compound task ( hex[,c(\"n\")] != 78.7306773426 ) | ( hex[,c(\"n\")] < 44.6336180808 ) & ( ( hex[,c(\"n\")] < 43.0159480787 )) on dataset copen, and also subsetting columns.") - filterHex <- hex[( hex[,c("n")] != 78.7306773426 ) | ( hex[,c("n")] < 44.6336180808 ) & ( ( hex[,c("n")] < 43.0159480787 )) , c("n")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c("n")] != 78.7306773426 ) | ( hex[,c("n")] < 44.6336180808 ) & ( ( hex[,c("n")] < 43.0159480787 )) , c("influence","housing","contact","satisfaction")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data copen", complexFilterTest_copen_7cbc2919_289a_4304_80b3_f1d91b53a731(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_cuse_73132eec_280a_43f3_b3af_f8097a6586a0.R b/R/tests/testdir_autoGen/complexFilterTest_cuse_73132eec_280a_43f3_b3af_f8097a6586a0.R deleted file mode 100644 index 605e14da46..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_cuse_73132eec_280a_43f3_b3af_f8097a6586a0.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_cuse_73132eec_280a_43f3_b3af_f8097a6586a0 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '!=']> ") - Log.info("Uploading cuse") - hex <- h2o.uploadFile(conn, "../../../smalldata/cuse.data.csv", "cuse.hex") - Log.info("Performing compound task !( ( ( hex[,c(\"wantsmoreyes\")] != 0.833721916672 )) ) on dataset ") - filterHex <- hex[!( ( ( hex[,c("wantsmoreyes")] != 0.833721916672 )) ),] - Log.info("Performing compound task !( ( ( hex[,c(\"age25to29\")] != 0.708889447618 )) ) on dataset cuse, and also subsetting columns.") - filterHex <- hex[!( ( ( hex[,c("age25to29")] != 0.708889447618 )) ), c("wantsmoreyes","notUsing","agelt25","wantsmoreno","edhigh","edlow","using","age25to29","age30to39")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( ( hex[,c("age25to29")] != 0.708889447618 )) ), c("wantsMore","age40to49","education","age")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data cuse", complexFilterTest_cuse_73132eec_280a_43f3_b3af_f8097a6586a0(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_hhp_9992fdc4_d8db_40a7_95c2_279dd44c754b.R b/R/tests/testdir_autoGen/complexFilterTest_hhp_9992fdc4_d8db_40a7_95c2_279dd44c754b.R deleted file mode 100644 index dd42ecc569..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_hhp_9992fdc4_d8db_40a7_95c2_279dd44c754b.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_hhp_9992fdc4_d8db_40a7_95c2_279dd44c754b <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '==', '&', '!|', '!', '>']> ") - Log.info("Uploading hhp") - hex <- h2o.uploadFile(conn, "../../../smalldata/hhp.cut3.214.data.gz", "hhp.hex") - Log.info("Performing compound task ( hex[,c(153)] != 31.3981185147 ) | ( hex[,c(188)] == 9.54932862484 ) & ( hex[,c(134)] !| 26.874129748 ) ! ( hex[,c(2)] > 0.370963216659 ) on dataset ") - filterHex <- hex[( hex[,c(153)] != 31.3981185147 ) | ( hex[,c(188)] == 9.54932862484 ) & ( hex[,c(134)] !| 26.874129748 ) ! ( hex[,c(2)] > 0.370963216659 ),] - Log.info("Performing compound task ( hex[,c(137)] != 12.8402304073 ) | ( hex[,c(181)] == 10.0148571659 ) & ( hex[,c(36)] !| 22.6085934046 ) ! ( hex[,c(213)] > 1.95286299865 ) on dataset hhp, and also subsetting columns.") - filterHex <- hex[( hex[,c(137)] != 12.8402304073 ) | ( hex[,c(181)] == 10.0148571659 ) & ( hex[,c(36)] !| 22.6085934046 ) ! ( hex[,c(213)] > 1.95286299865 ), c(213,159,194,112,29,60,131,89,137,179,90,181,172,84,21,47,45,42,43,41,2,187,185,188,189,202,142,206,209,148,122,106,70,165,160,78,10,12,16,33,51,36,52,103)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c(137)] != 12.8402304073 ) | ( hex[,c(181)] == 10.0148571659 ) & ( hex[,c(36)] !| 22.6085934046 ) ! ( hex[,c(213)] > 1.95286299865 ), c(212,210,211,133,132,130,136,135,134,139,138,166,24,25,26,27,20,22,23,28,161,4,8,163,120,121,123,124,125,126,127,128,129,167,59,58,55,54,57,56,50,53,164,201,199,198,200,195,197,178,191,190,193,192,115,114,88,116,111,110,113,176,82,83,80,81,86,87,85,207,3,7,108,109,102,100,101,107,104,105,39,38,32,31,30,37,35,34,61,62,63,64,65,66,67,68,69,175,174,173,177,171,170,203,182,183,180,162,184,6,186,196,99,98,168,169,91,93,92,95,94,97,96,11,13,15,14,17,19,18,117,204,151,150,153,152,155,154,157,156,158,48,49,46,119,44,40,118,1,5,9,146,147,144,145,205,143,140,141,208,149,77,76,75,74,73,72,71,79)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data hhp", complexFilterTest_hhp_9992fdc4_d8db_40a7_95c2_279dd44c754b(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_hhp_9_17_12_93d8a9e1_941e_4658_a242_bba03469858d.R b/R/tests/testdir_autoGen/complexFilterTest_hhp_9_17_12_93d8a9e1_941e_4658_a242_bba03469858d.R deleted file mode 100644 index b188a0dda4..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_hhp_9_17_12_93d8a9e1_941e_4658_a242_bba03469858d.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_hhp_9_17_12_93d8a9e1_941e_4658_a242_bba03469858d <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '<', '&', '<']> ") - Log.info("Uploading hhp_9_17_12") - hex <- h2o.uploadFile(conn, "../../../smalldata/hhp_9_17_12.predict.data.gz", "hhp_9_17_12.hex") - Log.info("Performing compound task ( hex[,c(60)] != 28.0796707414 ) | ( hex[,c(142)] < 14.2359795411 ) & ( ( hex[,c(14)] < 0.0 )) on dataset ") - filterHex <- hex[( hex[,c(60)] != 28.0796707414 ) | ( hex[,c(142)] < 14.2359795411 ) & ( ( hex[,c(14)] < 0.0 )) ,] - Log.info("Performing compound task ( hex[,c(84)] != 21.844821158 ) | ( hex[,c(16)] < 19.3050449826 ) & ( ( hex[,c(187)] < 39.7532373616 )) on dataset hhp_9_17_12, and also subsetting columns.") - filterHex <- hex[( hex[,c(84)] != 21.844821158 ) | ( hex[,c(16)] < 19.3050449826 ) & ( ( hex[,c(187)] < 39.7532373616 )) , c(152,213,210,197,191,190,193,60,62,130,136,112,68,69,175,174,119,139,84,170,27,48,44,172,2,5,187,184,6,8,188,189,147,145,208,149,99,121,125,70,129,166,101,160,161,118,16,50,215)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c(84)] != 21.844821158 ) | ( hex[,c(16)] < 19.3050449826 ) & ( ( hex[,c(187)] < 39.7532373616 )) , c(214,212,211,133,132,131,137,135,134,138,24,25,26,167,20,21,22,23,28,29,4,163,120,122,123,124,126,127,128,59,58,55,54,57,56,51,53,52,164,201,199,179,195,194,178,203,192,115,114,88,89,111,110,113,82,83,80,81,86,87,165,85,207,206,3,7,108,109,102,103,100,106,107,104,105,39,38,33,32,31,30,37,36,35,34,205,61,63,64,65,66,67,177,176,173,171,198,182,183,180,181,162,185,186,196,98,168,169,91,90,93,92,95,94,97,96,11,10,13,12,15,14,17,19,18,117,116,204,151,150,153,155,154,157,156,159,158,49,46,47,45,42,43,40,41,1,9,146,200,144,202,142,143,140,141,209,148,77,76,75,74,73,72,71,79,78)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data hhp_9_17_12", complexFilterTest_hhp_9_17_12_93d8a9e1_941e_4658_a242_bba03469858d(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_iris_389204ff_ad08_40ce_bc3a_15b4b36810b1.R b/R/tests/testdir_autoGen/complexFilterTest_iris_389204ff_ad08_40ce_bc3a_15b4b36810b1.R deleted file mode 100644 index a2c634014b..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_iris_389204ff_ad08_40ce_bc3a_15b4b36810b1.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_iris_389204ff_ad08_40ce_bc3a_15b4b36810b1 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '<', '&', '<']> ") - Log.info("Uploading iris") - hex <- h2o.uploadFile(conn, "../../../smalldata/iris/iris.csv", "iris.hex") - Log.info("Performing compound task ( hex[,c(2)] != 4.50643839893 ) | ( hex[,c(3)] < 1.70269812646 ) & ( ( hex[,c(1)] < 2.45804933394 )) on dataset ") - filterHex <- hex[( hex[,c(2)] != 4.50643839893 ) | ( hex[,c(3)] < 1.70269812646 ) & ( ( hex[,c(1)] < 2.45804933394 )) ,] - Log.info("Performing compound task ( hex[,c(2)] != 6.84731367821 ) | ( hex[,c(3)] < 0.627278163035 ) & ( ( hex[,c(2)] < 5.19528191323 )) on dataset iris, and also subsetting columns.") - filterHex <- hex[( hex[,c(2)] != 6.84731367821 ) | ( hex[,c(3)] < 0.627278163035 ) & ( ( hex[,c(2)] < 5.19528191323 )) , c(1,3,2)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c(2)] != 6.84731367821 ) | ( hex[,c(3)] < 0.627278163035 ) & ( ( hex[,c(2)] < 5.19528191323 )) , c(4)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data iris", complexFilterTest_iris_389204ff_ad08_40ce_bc3a_15b4b36810b1(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_iris_905c80b1_146b_43c3_8fd3_f43938241bad.R b/R/tests/testdir_autoGen/complexFilterTest_iris_905c80b1_146b_43c3_8fd3_f43938241bad.R deleted file mode 100644 index 2afa18b7d9..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_iris_905c80b1_146b_43c3_8fd3_f43938241bad.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_iris_905c80b1_146b_43c3_8fd3_f43938241bad <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '<=', '|', '==', '&', '<=', '&', '<=', '&', '<=']> ") - Log.info("Uploading iris") - hex <- h2o.uploadFile(conn, "../../../smalldata/iris/iris.csv.gz", "iris.hex") - Log.info("Performing compound task !( ( hex[,c(3)] <= 0.495548637111 ) | ( hex[,c(1)] == 2.69600926676 ) & ( hex[,c(1)] <= 2.208941896 ) & ( hex[,c(1)] <= 5.60361285268 ) & ( ( hex[,c(2)] <= 3.52892557914 )) ) on dataset ") - filterHex <- hex[!( ( hex[,c(3)] <= 0.495548637111 ) | ( hex[,c(1)] == 2.69600926676 ) & ( hex[,c(1)] <= 2.208941896 ) & ( hex[,c(1)] <= 5.60361285268 ) & ( ( hex[,c(2)] <= 3.52892557914 )) ),] - Log.info("Performing compound task !( ( hex[,c(3)] <= 1.84622371075 ) | ( hex[,c(1)] == 3.34688447608 ) & ( hex[,c(2)] <= 5.988281895 ) & ( hex[,c(1)] <= 2.84119631713 ) & ( ( hex[,c(1)] <= 7.68713965438 )) ) on dataset iris, and also subsetting columns.") - filterHex <- hex[!( ( hex[,c(3)] <= 1.84622371075 ) | ( hex[,c(1)] == 3.34688447608 ) & ( hex[,c(2)] <= 5.988281895 ) & ( hex[,c(1)] <= 2.84119631713 ) & ( ( hex[,c(1)] <= 7.68713965438 )) ), c(1,3,2)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( hex[,c(3)] <= 1.84622371075 ) | ( hex[,c(1)] == 3.34688447608 ) & ( hex[,c(2)] <= 5.988281895 ) & ( hex[,c(1)] <= 2.84119631713 ) & ( ( hex[,c(1)] <= 7.68713965438 )) ), c(4)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data iris", complexFilterTest_iris_905c80b1_146b_43c3_8fd3_f43938241bad(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_iris_ea6ee90e_069e_4817_aac6_0aebec738912.R b/R/tests/testdir_autoGen/complexFilterTest_iris_ea6ee90e_069e_4817_aac6_0aebec738912.R deleted file mode 100644 index 5a7c758c5a..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_iris_ea6ee90e_069e_4817_aac6_0aebec738912.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_iris_ea6ee90e_069e_4817_aac6_0aebec738912 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '!=']> ") - Log.info("Uploading iris") - hex <- h2o.uploadFile(conn, "../../../smalldata/iris/iris.csv.gz", "iris.hex") - Log.info("Performing compound task !( ( ( hex[,c(3)] != 0.874937361729 )) ) on dataset ") - filterHex <- hex[!( ( ( hex[,c(3)] != 0.874937361729 )) ),] - Log.info("Performing compound task !( ( ( hex[,c(3)] != 0.777307927895 )) ) on dataset iris, and also subsetting columns.") - filterHex <- hex[!( ( ( hex[,c(3)] != 0.777307927895 )) ), c(1,3,2)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( ( hex[,c(3)] != 0.777307927895 )) ), c(4)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data iris", complexFilterTest_iris_ea6ee90e_069e_4817_aac6_0aebec738912(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_iris_test_extra_5a5113b0_3018_4ea9_b32f_2321c1e9b6b6.R b/R/tests/testdir_autoGen/complexFilterTest_iris_test_extra_5a5113b0_3018_4ea9_b32f_2321c1e9b6b6.R deleted file mode 100644 index 43d63616f9..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_iris_test_extra_5a5113b0_3018_4ea9_b32f_2321c1e9b6b6.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_iris_test_extra_5a5113b0_3018_4ea9_b32f_2321c1e9b6b6 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '==', '&', '!|', '!', '>']> ") - Log.info("Uploading iris_test_extra") - hex <- h2o.uploadFile(conn, "../../../smalldata/test/classifier/iris_test_extra.csv", "iris_test_extra.hex") - Log.info("Performing compound task ( hex[,c(\"petal_len\")] != 4.15059341256 ) | ( hex[,c(\"petal_len\")] == 4.31148610939 ) & ( hex[,c(\"petal_len\")] !| 4.87775069145 ) ! ( hex[,c(\"petal_len\")] > 1.99767944092 ) on dataset ") - filterHex <- hex[( hex[,c("petal_len")] != 4.15059341256 ) | ( hex[,c("petal_len")] == 4.31148610939 ) & ( hex[,c("petal_len")] !| 4.87775069145 ) ! ( hex[,c("petal_len")] > 1.99767944092 ),] - Log.info("Performing compound task ( hex[,c(\"sepal_len\")] != 7.4405832648 ) | ( hex[,c(\"petal_len\")] == 6.64810469106 ) & ( hex[,c(\"sepal_len\")] !| 6.21469097228 ) ! ( hex[,c(\"petal_wid\")] > 0.914709791283 ) on dataset iris_test_extra, and also subsetting columns.") - filterHex <- hex[( hex[,c("sepal_len")] != 7.4405832648 ) | ( hex[,c("petal_len")] == 6.64810469106 ) & ( hex[,c("sepal_len")] !| 6.21469097228 ) ! ( hex[,c("petal_wid")] > 0.914709791283 ), c("petal_wid","sepal_wid","petal_len","sepal_len")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c("sepal_len")] != 7.4405832648 ) | ( hex[,c("petal_len")] == 6.64810469106 ) & ( hex[,c("sepal_len")] !| 6.21469097228 ) ! ( hex[,c("petal_wid")] > 0.914709791283 ), c("species")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data iris_test_extra", complexFilterTest_iris_test_extra_5a5113b0_3018_4ea9_b32f_2321c1e9b6b6(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_iris_test_extra_with_na_536e7532_1b98_44ba_b6ea_7f724871ff15.R b/R/tests/testdir_autoGen/complexFilterTest_iris_test_extra_with_na_536e7532_1b98_44ba_b6ea_7f724871ff15.R deleted file mode 100644 index df35c215eb..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_iris_test_extra_with_na_536e7532_1b98_44ba_b6ea_7f724871ff15.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_iris_test_extra_with_na_536e7532_1b98_44ba_b6ea_7f724871ff15 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '<', '&', '<']> ") - Log.info("Uploading iris_test_extra_with_na") - hex <- h2o.uploadFile(conn, "../../../smalldata/test/classifier/iris_test_extra_with_na.csv", "iris_test_extra_with_na.hex") - Log.info("Performing compound task ( hex[,c(3)] != 0.159901462376 ) | ( hex[,c(1)] < 4.04768194651 ) & ( ( hex[,c(1)] < 3.52429117395 )) on dataset ") - filterHex <- hex[( hex[,c(3)] != 0.159901462376 ) | ( hex[,c(1)] < 4.04768194651 ) & ( ( hex[,c(1)] < 3.52429117395 )) ,] - Log.info("Performing compound task ( hex[,c(1)] != 4.185029059 ) | ( hex[,c(2)] < 6.50246173611 ) & ( ( hex[,c(1)] < 3.81317981647 )) on dataset iris_test_extra_with_na, and also subsetting columns.") - filterHex <- hex[( hex[,c(1)] != 4.185029059 ) | ( hex[,c(2)] < 6.50246173611 ) & ( ( hex[,c(1)] < 3.81317981647 )) , c(1,3,2)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c(1)] != 4.185029059 ) | ( hex[,c(2)] < 6.50246173611 ) & ( ( hex[,c(1)] < 3.81317981647 )) , c(4)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data iris_test_extra_with_na", complexFilterTest_iris_test_extra_with_na_536e7532_1b98_44ba_b6ea_7f724871ff15(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_iris_test_numeric_extra_07aee9cd_39cf_49cb_895c_f795c73c8355.R b/R/tests/testdir_autoGen/complexFilterTest_iris_test_numeric_extra_07aee9cd_39cf_49cb_895c_f795c73c8355.R deleted file mode 100644 index 6ba2e04770..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_iris_test_numeric_extra_07aee9cd_39cf_49cb_895c_f795c73c8355.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_iris_test_numeric_extra_07aee9cd_39cf_49cb_895c_f795c73c8355 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '<', '&', '<']> ") - Log.info("Uploading iris_test_numeric_extra") - hex <- h2o.uploadFile(conn, "../../../smalldata/test/classifier/iris_test_numeric_extra.csv", "iris_test_numeric_extra.hex") - Log.info("Performing compound task ( hex[,c(\"sepal_len\")] != 5.40968097651 ) | ( hex[,c(\"petal_wid\")] < 0.613893299137 ) & ( ( hex[,c(\"petal_len\")] < 3.08970178329 )) on dataset ") - filterHex <- hex[( hex[,c("sepal_len")] != 5.40968097651 ) | ( hex[,c("petal_wid")] < 0.613893299137 ) & ( ( hex[,c("petal_len")] < 3.08970178329 )) ,] - Log.info("Performing compound task ( hex[,c(\"sepal_wid\")] != 3.68915030439 ) | ( hex[,c(\"species\")] < 1.33790958516 ) & ( ( hex[,c(\"sepal_len\")] < 4.3498708073 )) on dataset iris_test_numeric_extra, and also subsetting columns.") - filterHex <- hex[( hex[,c("sepal_wid")] != 3.68915030439 ) | ( hex[,c("species")] < 1.33790958516 ) & ( ( hex[,c("sepal_len")] < 4.3498708073 )) , c("petal_wid","sepal_wid","petal_len","sepal_len","species")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c("sepal_wid")] != 3.68915030439 ) | ( hex[,c("species")] < 1.33790958516 ) & ( ( hex[,c("sepal_len")] < 4.3498708073 )) , c(1)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data iris_test_numeric_extra", complexFilterTest_iris_test_numeric_extra_07aee9cd_39cf_49cb_895c_f795c73c8355(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_iris_test_numeric_extra_5b1083b7_5916_4a12_b414_abf1b58c6ea0.R b/R/tests/testdir_autoGen/complexFilterTest_iris_test_numeric_extra_5b1083b7_5916_4a12_b414_abf1b58c6ea0.R deleted file mode 100644 index 73470e9178..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_iris_test_numeric_extra_5b1083b7_5916_4a12_b414_abf1b58c6ea0.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_iris_test_numeric_extra_5b1083b7_5916_4a12_b414_abf1b58c6ea0 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '!=']> ") - Log.info("Uploading iris_test_numeric_extra") - hex <- h2o.uploadFile(conn, "../../../smalldata/test/classifier/iris_test_numeric_extra.csv", "iris_test_numeric_extra.hex") - Log.info("Performing compound task !( ( ( hex[,c(\"species\")] != 3.25963092515 )) ) on dataset ") - filterHex <- hex[!( ( ( hex[,c("species")] != 3.25963092515 )) ),] - Log.info("Performing compound task !( ( ( hex[,c(\"petal_wid\")] != 1.74415042138 )) ) on dataset iris_test_numeric_extra, and also subsetting columns.") - filterHex <- hex[!( ( ( hex[,c("petal_wid")] != 1.74415042138 )) ), c("petal_wid","sepal_wid")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( ( hex[,c("petal_wid")] != 1.74415042138 )) ), c("petal_len","sepal_len","species")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data iris_test_numeric_extra", complexFilterTest_iris_test_numeric_extra_5b1083b7_5916_4a12_b414_abf1b58c6ea0(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_iris_wheader_96db2c9c_187f_47c2_8602_a56cc15f3ca7.R b/R/tests/testdir_autoGen/complexFilterTest_iris_wheader_96db2c9c_187f_47c2_8602_a56cc15f3ca7.R deleted file mode 100644 index 13388bd6af..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_iris_wheader_96db2c9c_187f_47c2_8602_a56cc15f3ca7.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_iris_wheader_96db2c9c_187f_47c2_8602_a56cc15f3ca7 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '<=', '|', '==', '&', '<=', '&', '<=', '&', '<=']> ") - Log.info("Uploading iris_wheader") - hex <- h2o.uploadFile(conn, "../../../smalldata/iris/iris_wheader.csv.zip", "iris_wheader.hex") - Log.info("Performing compound task !( ( hex[,c(\"sepal_wid\")] <= 3.39921826131 ) | ( hex[,c(\"petal_wid\")] == 1.31023039871 )) on dataset ") - filterHex <- hex[!( ( hex[,c("sepal_wid")] <= 3.39921826131 ) | ( hex[,c("petal_wid")] == 1.31023039871 )),] - Log.info("Performing compound task !( ( hex[,c(\"petal_len\")] <= 3.0072079239 ) | ( hex[,c(\"sepal_wid\")] == 2.3168974963 )) on dataset iris_wheader, and also subsetting columns.") - filterHex <- hex[!( ( hex[,c("petal_len")] <= 3.0072079239 ) | ( hex[,c("sepal_wid")] == 2.3168974963 )), c("sepal_wid","petal_len")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( hex[,c("petal_len")] <= 3.0072079239 ) | ( hex[,c("sepal_wid")] == 2.3168974963 )), c("petal_wid","class","sepal_len")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data iris_wheader", complexFilterTest_iris_wheader_96db2c9c_187f_47c2_8602_a56cc15f3ca7(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_parity_128_4_2_quad_4e2ed480_b948_4754_a9a0_599c532e2efa.R b/R/tests/testdir_autoGen/complexFilterTest_parity_128_4_2_quad_4e2ed480_b948_4754_a9a0_599c532e2efa.R deleted file mode 100644 index 6706b55343..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_parity_128_4_2_quad_4e2ed480_b948_4754_a9a0_599c532e2efa.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_parity_128_4_2_quad_4e2ed480_b948_4754_a9a0_599c532e2efa <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '==', '&', '!|', '!', '>']> ") - Log.info("Uploading parity_128_4_2_quad") - hex <- h2o.uploadFile(conn, "../../../smalldata/parity_128_4_2_quad.data", "parity_128_4_2_quad.hex") - Log.info("Performing compound task ( hex[,c(4)] != 10.0 ) | ( hex[,c(1)] == 1.25965294004 ) & ( hex[,c(6)] !| 0.0 ) ! ( hex[,c(6)] > 0.0 ) on dataset ") - filterHex <- hex[( hex[,c(4)] != 10.0 ) | ( hex[,c(1)] == 1.25965294004 ) & ( hex[,c(6)] !| 0.0 ) ! ( hex[,c(6)] > 0.0 ),] - Log.info("Performing compound task ( hex[,c(5)] != 0.339868725526 ) | ( hex[,c(5)] == 0.17891374351 ) & ( hex[,c(5)] !| 1.37418195286 ) ! ( hex[,c(3)] > 5.0 ) on dataset parity_128_4_2_quad, and also subsetting columns.") - filterHex <- hex[( hex[,c(5)] != 0.339868725526 ) | ( hex[,c(5)] == 0.17891374351 ) & ( hex[,c(5)] !| 1.37418195286 ) ! ( hex[,c(3)] > 5.0 ), c(3,2,5,4,6,8)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c(5)] != 0.339868725526 ) | ( hex[,c(5)] == 0.17891374351 ) & ( hex[,c(5)] !| 1.37418195286 ) ! ( hex[,c(3)] > 5.0 ), c(1,7)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data parity_128_4_2_quad", complexFilterTest_parity_128_4_2_quad_4e2ed480_b948_4754_a9a0_599c532e2efa(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_parity_128_4_2_quad_c27cfb62_40da_4fb9_8306_6c626618f606.R b/R/tests/testdir_autoGen/complexFilterTest_parity_128_4_2_quad_c27cfb62_40da_4fb9_8306_6c626618f606.R deleted file mode 100644 index 5022bb3e4c..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_parity_128_4_2_quad_c27cfb62_40da_4fb9_8306_6c626618f606.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_parity_128_4_2_quad_c27cfb62_40da_4fb9_8306_6c626618f606 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '<', '&', '<']> ") - Log.info("Uploading parity_128_4_2_quad") - hex <- h2o.uploadFile(conn, "../../../smalldata/parity_128_4_2_quad.data", "parity_128_4_2_quad.hex") - Log.info("Performing compound task ( hex[,c(7)] != 5.0 ) | ( hex[,c(4)] < 10.0 ) & ( ( hex[,c(4)] < 10.0 )) on dataset ") - filterHex <- hex[( hex[,c(7)] != 5.0 ) | ( hex[,c(4)] < 10.0 ) & ( ( hex[,c(4)] < 10.0 )) ,] - Log.info("Performing compound task ( hex[,c(2)] != 0.0 ) | ( hex[,c(1)] < 10.0 ) & ( ( hex[,c(3)] < 5.0 )) on dataset parity_128_4_2_quad, and also subsetting columns.") - filterHex <- hex[( hex[,c(2)] != 0.0 ) | ( hex[,c(1)] < 10.0 ) & ( ( hex[,c(3)] < 5.0 )) , c(1,3,2,5,4,7,6,8)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c(2)] != 0.0 ) | ( hex[,c(1)] < 10.0 ) & ( ( hex[,c(3)] < 5.0 )) , c(1)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data parity_128_4_2_quad", complexFilterTest_parity_128_4_2_quad_c27cfb62_40da_4fb9_8306_6c626618f606(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_parse_zeros_100x8500_16a2805e_134e_433a_9cfc_2f6f78ef5e8e.R b/R/tests/testdir_autoGen/complexFilterTest_parse_zeros_100x8500_16a2805e_134e_433a_9cfc_2f6f78ef5e8e.R deleted file mode 100644 index fc201e25e0..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_parse_zeros_100x8500_16a2805e_134e_433a_9cfc_2f6f78ef5e8e.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_parse_zeros_100x8500_16a2805e_134e_433a_9cfc_2f6f78ef5e8e <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '!=']> ") - Log.info("Uploading parse_zeros_100x8500") - hex <- h2o.uploadFile(conn, "../../../smalldata/parse_zeros_100x8500.csv.gz", "parse_zeros_100x8500.hex") - Log.info("Performing compound task !( ( ( hex[,c(291)] != 0.0 )) ) on dataset ") - filterHex <- hex[!( ( ( hex[,c(291)] != 0.0 )) ),] - Log.info("Performing compound task !( ( ( hex[,c(686)] != 0.0 )) ) on dataset parse_zeros_100x8500, and also subsetting columns.") - filterHex <- hex[!( ( ( hex[,c(686)] != 0.0 )) ), c(626,746,156,159,312,62,330,457,88,111,395,252,399,84,886,974,836,674,839,954,657,346,347,403,521,340,422,502,287,501,309,777,996,717,442,462,120,265,127,225,437,376,295,960,840,54,36,535,648,826,418,686)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( ( hex[,c(686)] != 0.0 )) ), c(344,341,342,343,810,811,812,813,348,349,816,817,595,719,718,716,715,714,713,712,711,710,915,914,606,917,594,736,911,619,910,913,298,299,296,297,294,912,292,293,290,291,591,590,593,592,199,198,597,596,195,194,197,196,191,190,193,192,270,271,272,273,274,275,276,277,278,279,738,524,525,526,527,520,522,523,599,528,529,449,448,443,441,440,447,446,445,444,108,109,102,103,100,101,106,107,104,105,902,903,39,38,906,907,904,905,33,32,31,30,37,35,34,641,640,643,642,645,644,438,439,436,434,435,432,433,430,431,339,338,335,334,337,336,331,333,332,744,745,854,818,856,857,850,851,852,345,858,859,748,6,900,848,99,98,91,90,93,92,95,94,97,96,814,815,740,741,742,743,559,558,747,555,554,557,556,551,550,553,552,238,239,234,235,236,237,230,231,232,233,992,1,614,146,147,144,145,142,143,140,141,612,613,610,611,616,617,148,149,948,949,946,947,944,945,942,943,940,941,768,689,688,685,684,687,681,680,683,682,623,819,622,133,132,131,130,137,136,135,134,494,495,139,138,490,491,492,493,24,25,26,27,20,21,22,23,927,28,29,407,406,405,404,402,401,400,933,932,931,930,937,629,409,408,628,758,379,378,829,828,371,370,373,372,375,374,377,822,708,709,704,705,706,707,700,618,702,703,393,392,391,89,397,396,394,82,83,80,81,86,87,994,85,797,796,795,794,793,792,791,790,799,798,7,601,607,586,587,584,585,582,583,580,581,588,589,245,244,247,246,241,240,243,242,615,249,248,925,519,518,926,511,510,513,512,515,514,517,516,458,459,621,620,627,951,625,624,450,451,452,453,454,455,456,979,179,178,177,176,175,174,173,172,171,170,977,656,975,973,972,971,970,654,253,978,182,183,180,181,186,187,184,185,652,188,189,658,653,650,651,764,11,10,13,12,15,14,17,16,19,18,863,862,865,864,867,866,938,659,883,753,881,880,887,831,885,752,928,889,888,950,756,929,809,322,323,320,321,326,327,324,325,328,329,759,201,200,203,202,205,204,207,206,209,208,779,778,77,76,75,74,73,72,71,70,655,79,78,2,805,804,669,668,667,666,665,664,663,662,661,660,769,692,693,690,691,696,697,694,695,698,699,542,543,540,541,546,547,544,545,8,548,549,598,995,869,997,991,990,993,868,999,998,121,122,123,124,125,126,128,129,765,414,415,416,417,410,411,412,413,920,498,922,923,924,419,776,499,319,318,313,311,310,317,316,315,314,861,921,496,832,833,830,497,837,834,835,838,808,3,725,368,369,366,367,364,365,362,363,360,361,959,952,882,380,381,382,383,384,385,386,387,388,389,784,785,786,787,780,781,782,783,788,789,860,605,579,578,604,573,572,571,570,577,576,575,574,60,61,258,259,64,65,66,67,68,69,250,251,256,257,254,255,603,884,939,731,730,733,732,735,734,508,509,506,507,504,505,503,500,630,631,632,633,469,468,636,637,465,464,467,466,461,460,463,901,168,169,164,165,166,167,160,161,162,163,964,965,966,967,961,962,963,968,969,936,935,934,908,909,600,878,879,876,877,874,875,872,873,870,871,9,890,891,892,893,894,647,896,897,898,899,646,649,357,356,355,354,353,352,351,350,803,802,801,800,807,806,359,358,216,217,214,215,212,213,210,211,762,763,760,761,766,767,218,219,957,956,289,288,4,281,280,283,282,285,284,286,678,679,675,676,677,670,671,672,673,263,262,261,260,267,266,264,269,268,701,59,58,55,57,56,51,50,53,52,537,536,63,533,532,531,530,539,538,775,988,989,774,982,983,980,981,986,987,984,985,115,114,117,116,110,113,112,771,119,118,770,773,772,953,429,428,534,919,918,421,420,423,916,425,424,427,426,308,855,300,301,302,303,304,305,306,307,895,825,824,827,847,846,845,844,843,842,841,821,853,849,820,823,568,569,751,750,757,737,755,754,560,561,562,563,564,565,566,567,739,229,228,227,226,224,223,222,221,220,726,727,724,390,722,723,720,721,728,729,151,150,153,152,155,154,157,602,158,609,608,976,634,635,749,958,398,48,49,46,47,44,45,42,43,40,41,638,5,639,489,488,487,486,485,484,483,482,481,480,955,472,473,470,471,476,477,474,475,478,479)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data parse_zeros_100x8500", complexFilterTest_parse_zeros_100x8500_16a2805e_134e_433a_9cfc_2f6f78ef5e8e(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_pharynx_60619f14_12e7_4c1c_8c0b_f28134011654.R b/R/tests/testdir_autoGen/complexFilterTest_pharynx_60619f14_12e7_4c1c_8c0b_f28134011654.R deleted file mode 100644 index 14eebfd6e0..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_pharynx_60619f14_12e7_4c1c_8c0b_f28134011654.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_pharynx_60619f14_12e7_4c1c_8c0b_f28134011654 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '!=']> ") - Log.info("Uploading pharynx") - hex <- h2o.uploadFile(conn, "../../../smalldata/logreg/umass_statdata/pharynx.dat", "pharynx.hex") - Log.info("Performing compound task !( ( ( hex[,c(11)] != 0.6443474172 )) ) on dataset ") - filterHex <- hex[!( ( ( hex[,c(11)] != 0.6443474172 )) ),] - Log.info("Performing compound task !( ( ( hex[,c(6)] != 6.8931175114 )) ) on dataset pharynx, and also subsetting columns.") - filterHex <- hex[!( ( ( hex[,c(6)] != 6.8931175114 )) ), c(2,4,6)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( ( hex[,c(6)] != 6.8931175114 )) ), c(11,10,12,1,3,5,7,9,8)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data pharynx", complexFilterTest_pharynx_60619f14_12e7_4c1c_8c0b_f28134011654(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_poisson_tst1_803598d6_4de8_4c8f_8aed_3b94824e9982.R b/R/tests/testdir_autoGen/complexFilterTest_poisson_tst1_803598d6_4de8_4c8f_8aed_3b94824e9982.R deleted file mode 100644 index c1b7d3b395..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_poisson_tst1_803598d6_4de8_4c8f_8aed_3b94824e9982.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_poisson_tst1_803598d6_4de8_4c8f_8aed_3b94824e9982 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '<', '&', '<']> ") - Log.info("Uploading poisson_tst1") - hex <- h2o.uploadFile(conn, "../../../smalldata/glm_test/poisson_tst1.csv", "poisson_tst1.hex") - Log.info("Performing compound task ( hex[,c(\"math\")] != 38.3506700296 ) | ( hex[,c(\"num_awards\")] < 4.69959703842 ) & ( ( hex[,c(\"math\")] < 74.1367450852 )) on dataset ") - filterHex <- hex[( hex[,c("math")] != 38.3506700296 ) | ( hex[,c("num_awards")] < 4.69959703842 ) & ( ( hex[,c("math")] < 74.1367450852 )) ,] - Log.info("Performing compound task ( hex[,c(\"id\")] != 141.074838348 ) | ( hex[,c(\"math\")] < 66.9944317473 ) & ( ( hex[,c(\"id\")] < 122.520633779 )) on dataset poisson_tst1, and also subsetting columns.") - filterHex <- hex[( hex[,c("id")] != 141.074838348 ) | ( hex[,c("math")] < 66.9944317473 ) & ( ( hex[,c("id")] < 122.520633779 )) , c("math","id","num_awards")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c("id")] != 141.074838348 ) | ( hex[,c("math")] < 66.9944317473 ) & ( ( hex[,c("id")] < 122.520633779 )) , c("prog")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data poisson_tst1", complexFilterTest_poisson_tst1_803598d6_4de8_4c8f_8aed_3b94824e9982(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_poker1000_c6427861_89ff_4b96_aa97_fa7b6fce2127.R b/R/tests/testdir_autoGen/complexFilterTest_poker1000_c6427861_89ff_4b96_aa97_fa7b6fce2127.R deleted file mode 100644 index 18cd0a330a..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_poker1000_c6427861_89ff_4b96_aa97_fa7b6fce2127.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_poker1000_c6427861_89ff_4b96_aa97_fa7b6fce2127 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '!=']> ") - Log.info("Uploading poker1000") - hex <- h2o.uploadFile(conn, "../../../smalldata/poker/poker1000", "poker1000.hex") - Log.info("Performing compound task !( ( ( hex[,c(10)] != 0.385419926555 )) ) on dataset ") - filterHex <- hex[!( ( ( hex[,c(10)] != 0.385419926555 )) ),] - Log.info("Performing compound task !( ( ( hex[,c(3)] != 2.0 )) ) on dataset poker1000, and also subsetting columns.") - filterHex <- hex[!( ( ( hex[,c(3)] != 2.0 )) ), c(10,1,3,2,5,4,7,6,9,8)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( ( hex[,c(3)] != 2.0 )) ), c(1)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data poker1000", complexFilterTest_poker1000_c6427861_89ff_4b96_aa97_fa7b6fce2127(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_poker1000_eaa8431b_929b_4e53_981d_7da18cd09564.R b/R/tests/testdir_autoGen/complexFilterTest_poker1000_eaa8431b_929b_4e53_981d_7da18cd09564.R deleted file mode 100644 index 2149c5f6b3..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_poker1000_eaa8431b_929b_4e53_981d_7da18cd09564.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_poker1000_eaa8431b_929b_4e53_981d_7da18cd09564 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '==', '&', '!|', '!', '>']> ") - Log.info("Uploading poker1000") - hex <- h2o.uploadFile(conn, "../../../smalldata/poker/poker1000", "poker1000.hex") - Log.info("Performing compound task ( hex[,c(1)] != 1.0 ) | ( hex[,c(1)] == 1.0 ) & ( hex[,c(8)] !| 1.26457044282 ) ! ( hex[,c(8)] > 2.42847821807 ) on dataset ") - filterHex <- hex[( hex[,c(1)] != 1.0 ) | ( hex[,c(1)] == 1.0 ) & ( hex[,c(8)] !| 1.26457044282 ) ! ( hex[,c(8)] > 2.42847821807 ),] - Log.info("Performing compound task ( hex[,c(10)] != 5.01433591014 ) | ( hex[,c(4)] == 1.0 ) & ( hex[,c(3)] !| 2.0 ) ! ( hex[,c(8)] > 3.42696074482 ) on dataset poker1000, and also subsetting columns.") - filterHex <- hex[( hex[,c(10)] != 5.01433591014 ) | ( hex[,c(4)] == 1.0 ) & ( hex[,c(3)] !| 2.0 ) ! ( hex[,c(8)] > 3.42696074482 ), c(10,1,3,2,5,4,7,6,9,8)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c(10)] != 5.01433591014 ) | ( hex[,c(4)] == 1.0 ) & ( hex[,c(3)] !| 2.0 ) ! ( hex[,c(8)] > 3.42696074482 ), c(1)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data poker1000", complexFilterTest_poker1000_eaa8431b_929b_4e53_981d_7da18cd09564(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_poker10_e7dbdc6d_e215_4893_b947_7521dddcb75b.R b/R/tests/testdir_autoGen/complexFilterTest_poker10_e7dbdc6d_e215_4893_b947_7521dddcb75b.R deleted file mode 100644 index 28c20baa35..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_poker10_e7dbdc6d_e215_4893_b947_7521dddcb75b.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_poker10_e7dbdc6d_e215_4893_b947_7521dddcb75b <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '<', '&', '<']> ") - Log.info("Uploading poker10") - hex <- h2o.uploadFile(conn, "../../../smalldata/poker/poker10", "poker10.hex") - Log.info("Performing compound task ( hex[,c(4)] != 1.0 ) | ( hex[,c(1)] < 1.0 ) & ( ( hex[,c(8)] < 1.0 )) on dataset ") - filterHex <- hex[( hex[,c(4)] != 1.0 ) | ( hex[,c(1)] < 1.0 ) & ( ( hex[,c(8)] < 1.0 )) ,] - Log.info("Performing compound task ( hex[,c(9)] != 9.37835664187 ) | ( hex[,c(6)] < 1.0 ) & ( ( hex[,c(1)] < 1.0 )) on dataset poker10, and also subsetting columns.") - filterHex <- hex[( hex[,c(9)] != 9.37835664187 ) | ( hex[,c(6)] < 1.0 ) & ( ( hex[,c(1)] < 1.0 )) , c(10,1,2,5,4,7,6,9)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c(9)] != 9.37835664187 ) | ( hex[,c(6)] < 1.0 ) & ( ( hex[,c(1)] < 1.0 )) , c(8,3)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data poker10", complexFilterTest_poker10_e7dbdc6d_e215_4893_b947_7521dddcb75b(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_pros_954f25a4_d557_4118_98ad_fa35320a866a.R b/R/tests/testdir_autoGen/complexFilterTest_pros_954f25a4_d557_4118_98ad_fa35320a866a.R deleted file mode 100644 index 48915623f0..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_pros_954f25a4_d557_4118_98ad_fa35320a866a.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_pros_954f25a4_d557_4118_98ad_fa35320a866a <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '==', '&', '!|', '!', '>']> ") - Log.info("Uploading pros") - hex <- h2o.uploadFile(conn, "../../../smalldata/logreg/pros.xls", "pros.hex") - Log.info("Performing compound task ( hex[,c(\"DPROS\")] != 2.0810415601 ) | ( hex[,c(\"CAPSULE\")] == 0.396483907428 ) & ( hex[,c(\"DPROS\")] !| 3.38497916275 ) ! ( hex[,c(\"DPROS\")] > 3.39534283497 ) on dataset ") - filterHex <- hex[( hex[,c("DPROS")] != 2.0810415601 ) | ( hex[,c("CAPSULE")] == 0.396483907428 ) & ( hex[,c("DPROS")] !| 3.38497916275 ) ! ( hex[,c("DPROS")] > 3.39534283497 ),] - Log.info("Performing compound task ( hex[,c(\"DCAPS\")] != 1.04419172875 ) | ( hex[,c(\"GLEASON\")] == 8.87977878542 ) & ( hex[,c(\"DCAPS\")] !| 1.33281639817 ) ! ( hex[,c(\"ID\")] > 106.251863693 ) on dataset pros, and also subsetting columns.") - filterHex <- hex[( hex[,c("DCAPS")] != 1.04419172875 ) | ( hex[,c("GLEASON")] == 8.87977878542 ) & ( hex[,c("DCAPS")] !| 1.33281639817 ) ! ( hex[,c("ID")] > 106.251863693 ), c("GLEASON","RACE","PSA","DCAPS","VOL","CAPSULE","DPROS","ID","AGE")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c("DCAPS")] != 1.04419172875 ) | ( hex[,c("GLEASON")] == 8.87977878542 ) & ( hex[,c("DCAPS")] !| 1.33281639817 ) ! ( hex[,c("ID")] > 106.251863693 ), c(1)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data pros", complexFilterTest_pros_954f25a4_d557_4118_98ad_fa35320a866a(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_prostate_1_3831951b_a33b_4756_8694_38ea31ad2b2e.R b/R/tests/testdir_autoGen/complexFilterTest_prostate_1_3831951b_a33b_4756_8694_38ea31ad2b2e.R deleted file mode 100644 index 8ef5a1084c..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_prostate_1_3831951b_a33b_4756_8694_38ea31ad2b2e.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_prostate_1_3831951b_a33b_4756_8694_38ea31ad2b2e <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '<', '&', '<']> ") - Log.info("Uploading prostate_1") - hex <- h2o.uploadFile(conn, "../../../smalldata/parse_folder_test/prostate_1.csv", "prostate_1.hex") - Log.info("Performing compound task ( hex[,c(2)] != 55.4505168177 ) | ( hex[,c(8)] < 7.97353644319 ) & ( ( hex[,c(5)] < 1.80726315914 )) on dataset ") - filterHex <- hex[( hex[,c(2)] != 55.4505168177 ) | ( hex[,c(8)] < 7.97353644319 ) & ( ( hex[,c(5)] < 1.80726315914 )) ,] - Log.info("Performing compound task ( hex[,c(4)] != 2.46584559732 ) | ( hex[,c(8)] < 6.62348291187 ) & ( ( hex[,c(5)] < 1.30149091087 )) on dataset prostate_1, and also subsetting columns.") - filterHex <- hex[( hex[,c(4)] != 2.46584559732 ) | ( hex[,c(8)] < 6.62348291187 ) & ( ( hex[,c(5)] < 1.30149091087 )) , c(1,2,5,4,7,6,8)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c(4)] != 2.46584559732 ) | ( hex[,c(8)] < 6.62348291187 ) & ( ( hex[,c(5)] < 1.30149091087 )) , c(3)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data prostate_1", complexFilterTest_prostate_1_3831951b_a33b_4756_8694_38ea31ad2b2e(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_prostate_3_b0e7955f_b7a8_41bc_a191_3b9c703a4d26.R b/R/tests/testdir_autoGen/complexFilterTest_prostate_3_b0e7955f_b7a8_41bc_a191_3b9c703a4d26.R deleted file mode 100644 index 0533e3c6d8..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_prostate_3_b0e7955f_b7a8_41bc_a191_3b9c703a4d26.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_prostate_3_b0e7955f_b7a8_41bc_a191_3b9c703a4d26 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '!=']> ") - Log.info("Uploading prostate_3") - hex <- h2o.uploadFile(conn, "../../../smalldata/parse_folder_test/prostate_3.csv", "prostate_3.hex") - Log.info("Performing compound task !( ( ( hex[,c(6)] != 15.4384729024 )) ) on dataset ") - filterHex <- hex[!( ( ( hex[,c(6)] != 15.4384729024 )) ),] - Log.info("Performing compound task !( ( ( hex[,c(6)] != 38.0343090854 )) ) on dataset prostate_3, and also subsetting columns.") - filterHex <- hex[!( ( ( hex[,c(6)] != 38.0343090854 )) ), c(1,2,5,4,7,6,8)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( ( hex[,c(6)] != 38.0343090854 )) ), c(3)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data prostate_3", complexFilterTest_prostate_3_b0e7955f_b7a8_41bc_a191_3b9c703a4d26(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_prostate_5_7126ceae_e4e8_4e5e_96d1_319df152f05a.R b/R/tests/testdir_autoGen/complexFilterTest_prostate_5_7126ceae_e4e8_4e5e_96d1_319df152f05a.R deleted file mode 100644 index 86df814019..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_prostate_5_7126ceae_e4e8_4e5e_96d1_319df152f05a.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_prostate_5_7126ceae_e4e8_4e5e_96d1_319df152f05a <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '==', '&', '!|', '!', '>']> ") - Log.info("Uploading prostate_5") - hex <- h2o.uploadFile(conn, "../../../smalldata/parse_folder_test/prostate_5.csv", "prostate_5.hex") - Log.info("Performing compound task ( hex[,c(4)] != 1.54065488322 ) | ( hex[,c(2)] == 68.6857719705 ) & ( hex[,c(6)] !| 55.4060978402 ) ! ( hex[,c(8)] > 7.20719561266 ) on dataset ") - filterHex <- hex[( hex[,c(4)] != 1.54065488322 ) | ( hex[,c(2)] == 68.6857719705 ) & ( hex[,c(6)] !| 55.4060978402 ) ! ( hex[,c(8)] > 7.20719561266 ),] - Log.info("Performing compound task ( hex[,c(5)] != 1.07231520742 ) | ( hex[,c(8)] == 5.85147997672 ) & ( hex[,c(8)] !| 6.2737239243 ) ! ( hex[,c(8)] > 7.64222552402 ) on dataset prostate_5, and also subsetting columns.") - filterHex <- hex[( hex[,c(5)] != 1.07231520742 ) | ( hex[,c(8)] == 5.85147997672 ) & ( hex[,c(8)] !| 6.2737239243 ) ! ( hex[,c(8)] > 7.64222552402 ), c(1,5,4,7,6,8)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c(5)] != 1.07231520742 ) | ( hex[,c(8)] == 5.85147997672 ) & ( hex[,c(8)] !| 6.2737239243 ) ! ( hex[,c(8)] > 7.64222552402 ), c(3,2)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data prostate_5", complexFilterTest_prostate_5_7126ceae_e4e8_4e5e_96d1_319df152f05a(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_prostate_6_29a10f0c_c7b1_4131_93b7_8431ec825590.R b/R/tests/testdir_autoGen/complexFilterTest_prostate_6_29a10f0c_c7b1_4131_93b7_8431ec825590.R deleted file mode 100644 index 11bf7a35f9..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_prostate_6_29a10f0c_c7b1_4131_93b7_8431ec825590.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_prostate_6_29a10f0c_c7b1_4131_93b7_8431ec825590 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '==', '&', '!|', '!', '>']> ") - Log.info("Uploading prostate_6") - hex <- h2o.uploadFile(conn, "../../../smalldata/parse_folder_test/prostate_6.csv", "prostate_6.hex") - Log.info("Performing compound task ( hex[,c(1)] != 229.389824333 ) | ( hex[,c(5)] == 1.74352929611 ) & ( hex[,c(2)] !| 62.358682811 ) ! ( hex[,c(4)] > 2.53888172977 ) on dataset ") - filterHex <- hex[( hex[,c(1)] != 229.389824333 ) | ( hex[,c(5)] == 1.74352929611 ) & ( hex[,c(2)] !| 62.358682811 ) ! ( hex[,c(4)] > 2.53888172977 ),] - Log.info("Performing compound task ( hex[,c(7)] != 40.4646975027 ) | ( hex[,c(4)] == 2.0133526871 ) & ( hex[,c(2)] !| 50.8168079701 ) ! ( hex[,c(2)] > 57.1398307351 ) on dataset prostate_6, and also subsetting columns.") - filterHex <- hex[( hex[,c(7)] != 40.4646975027 ) | ( hex[,c(4)] == 2.0133526871 ) & ( hex[,c(2)] !| 50.8168079701 ) ! ( hex[,c(2)] > 57.1398307351 ), c(1,2,5,4,7,6,8)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c(7)] != 40.4646975027 ) | ( hex[,c(4)] == 2.0133526871 ) & ( hex[,c(2)] !| 50.8168079701 ) ! ( hex[,c(2)] > 57.1398307351 ), c(3)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data prostate_6", complexFilterTest_prostate_6_29a10f0c_c7b1_4131_93b7_8431ec825590(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_prostate_long_0f42cf01_2401_4451_843a_e37960ef29e6.R b/R/tests/testdir_autoGen/complexFilterTest_prostate_long_0f42cf01_2401_4451_843a_e37960ef29e6.R deleted file mode 100644 index 7ce59a922a..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_prostate_long_0f42cf01_2401_4451_843a_e37960ef29e6.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_prostate_long_0f42cf01_2401_4451_843a_e37960ef29e6 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '==', '&', '!|', '!', '>']> ") - Log.info("Uploading prostate_long") - hex <- h2o.uploadFile(conn, "../../../smalldata/logreg/prostate_long.csv.gz", "prostate_long.hex") - Log.info("Performing compound task ( hex[,c(\"DPROS\")] != 1.28202126296 ) | ( hex[,c(\"AGE\")] == 54.7482720013 ) & ( hex[,c(\"DCAPS\")] !| 1.55989658486 ) ! ( hex[,c(\"ID\")] > 357.914886669 ) on dataset ") - filterHex <- hex[( hex[,c("DPROS")] != 1.28202126296 ) | ( hex[,c("AGE")] == 54.7482720013 ) & ( hex[,c("DCAPS")] !| 1.55989658486 ) ! ( hex[,c("ID")] > 357.914886669 ),] - Log.info("Performing compound task ( hex[,c(\"DCAPS\")] != 1.1872418779 ) | ( hex[,c(\"AGE\")] == 53.2849865055 ) & ( hex[,c(\"GLEASON\")] !| 7.37482246389 ) ! ( hex[,c(\"DCAPS\")] > 1.60384483475 ) on dataset prostate_long, and also subsetting columns.") - filterHex <- hex[( hex[,c("DCAPS")] != 1.1872418779 ) | ( hex[,c("AGE")] == 53.2849865055 ) & ( hex[,c("GLEASON")] !| 7.37482246389 ) ! ( hex[,c("DCAPS")] > 1.60384483475 ), c("ID","DPROS","PSA","DCAPS","VOL","CAPSULE","RACE","GLEASON","AGE")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c("DCAPS")] != 1.1872418779 ) | ( hex[,c("AGE")] == 53.2849865055 ) & ( hex[,c("GLEASON")] !| 7.37482246389 ) ! ( hex[,c("DCAPS")] > 1.60384483475 ), c(1)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data prostate_long", complexFilterTest_prostate_long_0f42cf01_2401_4451_843a_e37960ef29e6(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_prostate_train_d79bd9e1_7392_4dbe_8d92_a8e20e1f9de7.R b/R/tests/testdir_autoGen/complexFilterTest_prostate_train_d79bd9e1_7392_4dbe_8d92_a8e20e1f9de7.R deleted file mode 100644 index 28acc23c57..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_prostate_train_d79bd9e1_7392_4dbe_8d92_a8e20e1f9de7.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_prostate_train_d79bd9e1_7392_4dbe_8d92_a8e20e1f9de7 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '==', '&', '!|', '!', '>']> ") - Log.info("Uploading prostate_train") - hex <- h2o.uploadFile(conn, "../../../smalldata/logreg/prostate_train.csv", "prostate_train.hex") - Log.info("Performing compound task ( hex[,c(\"VOL\")] != 1.86147116914 ) | ( hex[,c(\"GLEASON\")] == -3.65175868348 ) & ( hex[,c(\"AGE\")] !| -1.91367748891 ) ! ( hex[,c(\"DCAPS\")] > 2.64513382128 ) on dataset ") - filterHex <- hex[( hex[,c("VOL")] != 1.86147116914 ) | ( hex[,c("GLEASON")] == -3.65175868348 ) & ( hex[,c("AGE")] !| -1.91367748891 ) ! ( hex[,c("DCAPS")] > 2.64513382128 ),] - Log.info("Performing compound task ( hex[,c(\"AGE\")] != 0.522511648861 ) | ( hex[,c(\"VOL\")] == 2.60182388846 ) & ( hex[,c(\"VOL\")] !| 3.99036403618 ) ! ( hex[,c(\"PSA\")] > 2.03634833457 ) on dataset prostate_train, and also subsetting columns.") - filterHex <- hex[( hex[,c("AGE")] != 0.522511648861 ) | ( hex[,c("VOL")] == 2.60182388846 ) & ( hex[,c("VOL")] !| 3.99036403618 ) ! ( hex[,c("PSA")] > 2.03634833457 ), c("PSA","DCAPS","VOL","AGE","DPROS")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c("AGE")] != 0.522511648861 ) | ( hex[,c("VOL")] == 2.60182388846 ) & ( hex[,c("VOL")] !| 3.99036403618 ) ! ( hex[,c("PSA")] > 2.03634833457 ), c("CAPSULE","GLEASON","RACE")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data prostate_train", complexFilterTest_prostate_train_d79bd9e1_7392_4dbe_8d92_a8e20e1f9de7(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_randomdata3_2149c5fd_1fa5_47b6_9a8e_8d375e67a575.R b/R/tests/testdir_autoGen/complexFilterTest_randomdata3_2149c5fd_1fa5_47b6_9a8e_8d375e67a575.R deleted file mode 100644 index 62d6f898dc..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_randomdata3_2149c5fd_1fa5_47b6_9a8e_8d375e67a575.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_randomdata3_2149c5fd_1fa5_47b6_9a8e_8d375e67a575 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '<=', '|', '==', '&', '<=', '&', '<=', '&', '<=']> ") - Log.info("Uploading randomdata3") - hex <- h2o.uploadFile(conn, "../../../smalldata/randomdata3.csv", "randomdata3.hex") - Log.info("Performing compound task !( ( hex[,c(1)] <= 969.531505394 ) | ( hex[,c(1)] == 802.406320659 ) & ( hex[,c(5)] <= -1.69963516776 ) & ( hex[,c(1)] <= 941.396883162 ) & ( ( hex[,c(1)] <= 307.099038704 )) ) on dataset ") - filterHex <- hex[!( ( hex[,c(1)] <= 969.531505394 ) | ( hex[,c(1)] == 802.406320659 ) & ( hex[,c(5)] <= -1.69963516776 ) & ( hex[,c(1)] <= 941.396883162 ) & ( ( hex[,c(1)] <= 307.099038704 )) ),] - Log.info("Performing compound task !( ( hex[,c(4)] <= 41346.4043316 ) | ( hex[,c(3)] == 53.6962006747 ) & ( hex[,c(1)] <= 938.353741297 ) & ( hex[,c(3)] <= 49.258188299 ) & ( ( hex[,c(3)] <= 20.9377069923 )) ) on dataset randomdata3, and also subsetting columns.") - filterHex <- hex[!( ( hex[,c(4)] <= 41346.4043316 ) | ( hex[,c(3)] == 53.6962006747 ) & ( hex[,c(1)] <= 938.353741297 ) & ( hex[,c(3)] <= 49.258188299 ) & ( ( hex[,c(3)] <= 20.9377069923 )) ), c(1,3,5,4)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( hex[,c(4)] <= 41346.4043316 ) | ( hex[,c(3)] == 53.6962006747 ) & ( hex[,c(1)] <= 938.353741297 ) & ( hex[,c(3)] <= 49.258188299 ) & ( ( hex[,c(3)] <= 20.9377069923 )) ), c(2)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data randomdata3", complexFilterTest_randomdata3_2149c5fd_1fa5_47b6_9a8e_8d375e67a575(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_space_shuttle_damage_44e8104f_d6d4_421b_8469_788cd7620821.R b/R/tests/testdir_autoGen/complexFilterTest_space_shuttle_damage_44e8104f_d6d4_421b_8469_788cd7620821.R deleted file mode 100644 index 80b5031237..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_space_shuttle_damage_44e8104f_d6d4_421b_8469_788cd7620821.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_space_shuttle_damage_44e8104f_d6d4_421b_8469_788cd7620821 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '<=', '|', '==', '&', '<=', '&', '<=', '&', '<=']> ") - Log.info("Uploading space_shuttle_damage") - hex <- h2o.uploadFile(conn, "../../../smalldata/space_shuttle_damage.csv", "space_shuttle_damage.hex") - Log.info("Performing compound task !( ( hex[,c(\"temp\")] <= 59.4938305778 ) | ( hex[,c(\"temp\")] == 54.5944852955 ) & ( hex[,c(\"temp\")] <= 59.6574995198 ) & ( hex[,c(\"temp\")] <= 65.2435624523 ) & ( ( hex[,c(\"temp\")] <= 55.51802782 )) ) on dataset ") - filterHex <- hex[!( ( hex[,c("temp")] <= 59.4938305778 ) | ( hex[,c("temp")] == 54.5944852955 ) & ( hex[,c("temp")] <= 59.6574995198 ) & ( hex[,c("temp")] <= 65.2435624523 ) & ( ( hex[,c("temp")] <= 55.51802782 )) ),] - Log.info("Performing compound task !( ( hex[,c(\"temp\")] <= 66.3745996969 ) | ( hex[,c(\"temp\")] == 74.7058143519 ) & ( hex[,c(\"temp\")] <= 75.6049909925 ) & ( hex[,c(\"temp\")] <= 78.9711670546 ) & ( ( hex[,c(\"temp\")] <= 55.2729486807 )) ) on dataset space_shuttle_damage, and also subsetting columns.") - filterHex <- hex[!( ( hex[,c("temp")] <= 66.3745996969 ) | ( hex[,c("temp")] == 74.7058143519 ) & ( hex[,c("temp")] <= 75.6049909925 ) & ( hex[,c("temp")] <= 78.9711670546 ) & ( ( hex[,c("temp")] <= 55.2729486807 )) ), c("temp")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( hex[,c("temp")] <= 66.3745996969 ) | ( hex[,c("temp")] == 74.7058143519 ) & ( hex[,c("temp")] <= 75.6049909925 ) & ( hex[,c("temp")] <= 78.9711670546 ) & ( ( hex[,c("temp")] <= 55.2729486807 )) ), c("damage","flight")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data space_shuttle_damage", complexFilterTest_space_shuttle_damage_44e8104f_d6d4_421b_8469_788cd7620821(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_sumsigmoids_test_3379d791_372a_41f1_85b3_2d70e80a0c1c.R b/R/tests/testdir_autoGen/complexFilterTest_sumsigmoids_test_3379d791_372a_41f1_85b3_2d70e80a0c1c.R deleted file mode 100644 index 9e87ce170b..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_sumsigmoids_test_3379d791_372a_41f1_85b3_2d70e80a0c1c.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_sumsigmoids_test_3379d791_372a_41f1_85b3_2d70e80a0c1c <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '<=', '|', '==', '&', '<=', '&', '<=', '&', '<=']> ") - Log.info("Uploading sumsigmoids_test") - hex <- h2o.uploadFile(conn, "../../../smalldata/neural/sumsigmoids_test.csv", "sumsigmoids_test.hex") - Log.info("Performing compound task !( ( hex[,c(\"X.2\")] <= 1.2959283047 ) | ( hex[,c(\"Y\")] == -0.197639617336 ) & ( hex[,c(\"X.1\")] <= -0.300170765328 ) & ( hex[,c(\"X.1\")] <= -1.22169674577 ) & ( ( hex[,c(\"Y\")] <= 1.45507811475 )) ) on dataset ") - filterHex <- hex[!( ( hex[,c("X.2")] <= 1.2959283047 ) | ( hex[,c("Y")] == -0.197639617336 ) & ( hex[,c("X.1")] <= -0.300170765328 ) & ( hex[,c("X.1")] <= -1.22169674577 ) & ( ( hex[,c("Y")] <= 1.45507811475 )) ),] - Log.info("Performing compound task !( ( hex[,c(\"X.2\")] <= 3.45889362047 ) | ( hex[,c(\"X.2\")] == -3.02844055889 ) & ( hex[,c(\"X.2\")] <= -1.9716979757 ) & ( hex[,c(\"X.2\")] <= 0.0207968640788 ) & ( ( hex[,c(\"Y\")] <= 0.601033531268 )) ) on dataset sumsigmoids_test, and also subsetting columns.") - filterHex <- hex[!( ( hex[,c("X.2")] <= 3.45889362047 ) | ( hex[,c("X.2")] == -3.02844055889 ) & ( hex[,c("X.2")] <= -1.9716979757 ) & ( hex[,c("X.2")] <= 0.0207968640788 ) & ( ( hex[,c("Y")] <= 0.601033531268 )) ), c("X.1","Y","X.2")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( hex[,c("X.2")] <= 3.45889362047 ) | ( hex[,c("X.2")] == -3.02844055889 ) & ( hex[,c("X.2")] <= -1.9716979757 ) & ( hex[,c("X.2")] <= 0.0207968640788 ) & ( ( hex[,c("Y")] <= 0.601033531268 )) ), c(1)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data sumsigmoids_test", complexFilterTest_sumsigmoids_test_3379d791_372a_41f1_85b3_2d70e80a0c1c(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_test1_d6a3a843_498a_41b3_ab35_7c8c6b4dfd15.R b/R/tests/testdir_autoGen/complexFilterTest_test1_d6a3a843_498a_41b3_ab35_7c8c6b4dfd15.R deleted file mode 100644 index 0a239de310..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_test1_d6a3a843_498a_41b3_ab35_7c8c6b4dfd15.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_test1_d6a3a843_498a_41b3_ab35_7c8c6b4dfd15 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '==', '&', '!|', '!', '>']> ") - Log.info("Uploading test1") - hex <- h2o.uploadFile(conn, "../../../smalldata/test/test1.dat", "test1.hex") - Log.info("Performing compound task ( hex[,c(4)] != 7.71554581245 ) | ( hex[,c(2)] == 3.10709674304 ) & ( hex[,c(1)] !| 2.72692901871 ) ! ( hex[,c(1)] > 16.4056410557 ) on dataset ") - filterHex <- hex[( hex[,c(4)] != 7.71554581245 ) | ( hex[,c(2)] == 3.10709674304 ) & ( hex[,c(1)] !| 2.72692901871 ) ! ( hex[,c(1)] > 16.4056410557 ),] - Log.info("Performing compound task ( hex[,c(4)] != 5.29547684045 ) | ( hex[,c(4)] == 5.84441452356 ) & ( hex[,c(1)] !| 2.96875495898 ) ! ( hex[,c(1)] > 2.05444112923 ) on dataset test1, and also subsetting columns.") - filterHex <- hex[( hex[,c(4)] != 5.29547684045 ) | ( hex[,c(4)] == 5.84441452356 ) & ( hex[,c(1)] !| 2.96875495898 ) ! ( hex[,c(1)] > 2.05444112923 ), c(1,3,2,4)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c(4)] != 5.29547684045 ) | ( hex[,c(4)] == 5.84441452356 ) & ( hex[,c(1)] !| 2.96875495898 ) ! ( hex[,c(1)] > 2.05444112923 ), c(1)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data test1", complexFilterTest_test1_d6a3a843_498a_41b3_ab35_7c8c6b4dfd15(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_test_16b46fae_456a_4332_9fec_54bc478c7ada.R b/R/tests/testdir_autoGen/complexFilterTest_test_16b46fae_456a_4332_9fec_54bc478c7ada.R deleted file mode 100644 index 0c8e662539..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_test_16b46fae_456a_4332_9fec_54bc478c7ada.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_test_16b46fae_456a_4332_9fec_54bc478c7ada <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '<=', '|', '==', '&', '<=', '&', '<=', '&', '<=']> ") - Log.info("Uploading test") - hex <- h2o.uploadFile(conn, "../../../smalldata/chess/chess_2x2x10/weka/test.csv.arff", "test.hex") - Log.info("Performing compound task !( ( hex[,c(1)] <= 1.79089826587 ) | ( hex[,c(1)] == 1.35887130758 ) & ( hex[,c(1)] <= 1.91610698089 ) & ( hex[,c(1)] <= 0.848997435424 ) & ( ( hex[,c(1)] <= 0.654634463113 )) ) on dataset ") - filterHex <- hex[!( ( hex[,c(1)] <= 1.79089826587 ) | ( hex[,c(1)] == 1.35887130758 ) & ( hex[,c(1)] <= 1.91610698089 ) & ( hex[,c(1)] <= 0.848997435424 ) & ( ( hex[,c(1)] <= 0.654634463113 )) ),] - Log.info("Performing compound task !( ( hex[,c(1)] <= 0.6911381455 ) | ( hex[,c(1)] == 0.424451315706 ) & ( hex[,c(1)] <= 1.36651769606 ) & ( hex[,c(1)] <= 0.741838602461 ) & ( ( hex[,c(1)] <= 0.216526720125 )) ) on dataset test, and also subsetting columns.") - filterHex <- hex[!( ( hex[,c(1)] <= 0.6911381455 ) | ( hex[,c(1)] == 0.424451315706 ) & ( hex[,c(1)] <= 1.36651769606 ) & ( hex[,c(1)] <= 0.741838602461 ) & ( ( hex[,c(1)] <= 0.216526720125 )) ), c(1)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( hex[,c(1)] <= 0.6911381455 ) | ( hex[,c(1)] == 0.424451315706 ) & ( hex[,c(1)] <= 1.36651769606 ) & ( hex[,c(1)] <= 0.741838602461 ) & ( ( hex[,c(1)] <= 0.216526720125 )) ), c(2)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data test", complexFilterTest_test_16b46fae_456a_4332_9fec_54bc478c7ada(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_test_26cols_single_space_sep_2_49c0af05_5e02_457b_b888_2960ce3f00b8.R b/R/tests/testdir_autoGen/complexFilterTest_test_26cols_single_space_sep_2_49c0af05_5e02_457b_b888_2960ce3f00b8.R deleted file mode 100644 index 19530e0303..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_test_26cols_single_space_sep_2_49c0af05_5e02_457b_b888_2960ce3f00b8.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_test_26cols_single_space_sep_2_49c0af05_5e02_457b_b888_2960ce3f00b8 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '<', '&', '<']> ") - Log.info("Uploading test_26cols_single_space_sep_2") - hex <- h2o.uploadFile(conn, "../../../smalldata/test/test_26cols_single_space_sep_2.csv", "test_26cols_single_space_sep_2.hex") - Log.info("Performing compound task ( hex[,c(\"R\")] != 18.0 ) | ( hex[,c(\"A\")] < 1.0 ) & ( ( hex[,c(\"A\")] < 1.0 )) on dataset ") - filterHex <- hex[( hex[,c("R")] != 18.0 ) | ( hex[,c("A")] < 1.0 ) & ( ( hex[,c("A")] < 1.0 )) ,] - Log.info("Performing compound task ( hex[,c(\"U\")] != 21.0 ) | ( hex[,c(\"J\")] < 10.0 ) & ( ( hex[,c(\"J\")] < 10.0 )) on dataset test_26cols_single_space_sep_2, and also subsetting columns.") - filterHex <- hex[( hex[,c("U")] != 21.0 ) | ( hex[,c("J")] < 10.0 ) & ( ( hex[,c("J")] < 10.0 )) , c("M","P","J","E","H","C","V","A","Z","U","N","R","L")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c("U")] != 21.0 ) | ( hex[,c("J")] < 10.0 ) & ( ( hex[,c("J")] < 10.0 )) , c("F","G","Q","K","D","I","B","W","T","O","X","Y","S")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data test_26cols_single_space_sep_2", complexFilterTest_test_26cols_single_space_sep_2_49c0af05_5e02_457b_b888_2960ce3f00b8(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_test_30e59526_2e25_4bb5_a3ed_e7687b89151a.R b/R/tests/testdir_autoGen/complexFilterTest_test_30e59526_2e25_4bb5_a3ed_e7687b89151a.R deleted file mode 100644 index 0ff0a5bf5d..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_test_30e59526_2e25_4bb5_a3ed_e7687b89151a.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_test_30e59526_2e25_4bb5_a3ed_e7687b89151a <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '<=', '|', '==', '&', '<=', '&', '<=', '&', '<=']> ") - Log.info("Uploading test") - hex <- h2o.uploadFile(conn, "../../../smalldata/chess/chess_2x2x500/h2o/test.csv", "test.hex") - Log.info("Performing compound task !( ( hex[,c(\"x\")] <= 0.958005885451 ) | ( hex[,c(\"x\")] == 0.342748905438 ) & ( hex[,c(\"x\")] <= 1.2746437409 ) & ( hex[,c(\"y\")] <= 0.0271364789795 ) & ( ( hex[,c(\"x\")] <= 1.80281803658 )) ) on dataset ") - filterHex <- hex[!( ( hex[,c("x")] <= 0.958005885451 ) | ( hex[,c("x")] == 0.342748905438 ) & ( hex[,c("x")] <= 1.2746437409 ) & ( hex[,c("y")] <= 0.0271364789795 ) & ( ( hex[,c("x")] <= 1.80281803658 )) ),] - Log.info("Performing compound task !( ( hex[,c(\"x\")] <= 1.17938210648 ) | ( hex[,c(\"y\")] == 1.96452988447 ) & ( hex[,c(\"x\")] <= 0.447215939086 ) & ( hex[,c(\"x\")] <= 0.997959954686 ) & ( ( hex[,c(\"x\")] <= 0.420849774469 )) ) on dataset test, and also subsetting columns.") - filterHex <- hex[!( ( hex[,c("x")] <= 1.17938210648 ) | ( hex[,c("y")] == 1.96452988447 ) & ( hex[,c("x")] <= 0.447215939086 ) & ( hex[,c("x")] <= 0.997959954686 ) & ( ( hex[,c("x")] <= 0.420849774469 )) ), c("x","y")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( hex[,c("x")] <= 1.17938210648 ) | ( hex[,c("y")] == 1.96452988447 ) & ( hex[,c("x")] <= 0.447215939086 ) & ( hex[,c("x")] <= 0.997959954686 ) & ( ( hex[,c("x")] <= 0.420849774469 )) ), c("color")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data test", complexFilterTest_test_30e59526_2e25_4bb5_a3ed_e7687b89151a(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_test_3c0fb217_8390_47c4_83e9_b076924f59e2.R b/R/tests/testdir_autoGen/complexFilterTest_test_3c0fb217_8390_47c4_83e9_b076924f59e2.R deleted file mode 100644 index f433a99a94..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_test_3c0fb217_8390_47c4_83e9_b076924f59e2.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_test_3c0fb217_8390_47c4_83e9_b076924f59e2 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '<', '&', '<']> ") - Log.info("Uploading test") - hex <- h2o.uploadFile(conn, "../../../smalldata/chess/chess_2x2x500/weka/test.csv.arff", "test.hex") - Log.info("Performing compound task ( hex[,c(1)] != 1.99518387641 ) | ( hex[,c(1)] < 0.457178736507 ) & ( ( hex[,c(1)] < 0.275477288342 )) on dataset ") - filterHex <- hex[( hex[,c(1)] != 1.99518387641 ) | ( hex[,c(1)] < 0.457178736507 ) & ( ( hex[,c(1)] < 0.275477288342 )) ,] - Log.info("Performing compound task ( hex[,c(1)] != 0.718979349684 ) | ( hex[,c(1)] < 0.687071110828 ) & ( ( hex[,c(1)] < 1.06129768553 )) on dataset test, and also subsetting columns.") - filterHex <- hex[( hex[,c(1)] != 0.718979349684 ) | ( hex[,c(1)] < 0.687071110828 ) & ( ( hex[,c(1)] < 1.06129768553 )) , c(1)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c(1)] != 0.718979349684 ) | ( hex[,c(1)] < 0.687071110828 ) & ( ( hex[,c(1)] < 1.06129768553 )) , c(2)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data test", complexFilterTest_test_3c0fb217_8390_47c4_83e9_b076924f59e2(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_test_82cc714c_d659_4feb_8ff2_a45ca6ad740d.R b/R/tests/testdir_autoGen/complexFilterTest_test_82cc714c_d659_4feb_8ff2_a45ca6ad740d.R deleted file mode 100644 index f34fee6b96..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_test_82cc714c_d659_4feb_8ff2_a45ca6ad740d.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_test_82cc714c_d659_4feb_8ff2_a45ca6ad740d <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '!=']> ") - Log.info("Uploading test") - hex <- h2o.uploadFile(conn, "../../../smalldata/chess/chess_2x2x100/R/test.csv", "test.hex") - Log.info("Performing compound task !( ( ( hex[,c(\"y\")] != 0.452590132575 )) ) on dataset ") - filterHex <- hex[!( ( ( hex[,c("y")] != 0.452590132575 )) ),] - Log.info("Performing compound task !( ( ( hex[,c(\"y\")] != 0.854400712064 )) ) on dataset test, and also subsetting columns.") - filterHex <- hex[!( ( ( hex[,c("y")] != 0.854400712064 )) ), c("x","y")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( ( hex[,c("y")] != 0.854400712064 )) ), c("color")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data test", complexFilterTest_test_82cc714c_d659_4feb_8ff2_a45ca6ad740d(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_test_ac8f17ea_d6b0_40a5_8d69_f0f439820ff3.R b/R/tests/testdir_autoGen/complexFilterTest_test_ac8f17ea_d6b0_40a5_8d69_f0f439820ff3.R deleted file mode 100644 index e62f21e359..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_test_ac8f17ea_d6b0_40a5_8d69_f0f439820ff3.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_test_ac8f17ea_d6b0_40a5_8d69_f0f439820ff3 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '==', '&', '!|', '!', '>']> ") - Log.info("Uploading test") - hex <- h2o.uploadFile(conn, "../../../smalldata/chess/chess_2x2x1000/R/test.csv", "test.hex") - Log.info("Performing compound task ( hex[,c(\"x\")] != 1.3279212853 ) | ( hex[,c(\"y\")] == 0.705261446705 ) on dataset ") - filterHex <- hex[( hex[,c("x")] != 1.3279212853 ) | ( hex[,c("y")] == 0.705261446705 ),] - Log.info("Performing compound task ( hex[,c(\"y\")] != 0.768083544158 ) | ( hex[,c(\"y\")] == 0.16407319585 ) on dataset test, and also subsetting columns.") - filterHex <- hex[( hex[,c("y")] != 0.768083544158 ) | ( hex[,c("y")] == 0.16407319585 ), c("y")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c("y")] != 0.768083544158 ) | ( hex[,c("y")] == 0.16407319585 ), c("x","color")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data test", complexFilterTest_test_ac8f17ea_d6b0_40a5_8d69_f0f439820ff3(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_test_caba88b5_c6d0_4508_981f_aeb8e0b0d83d.R b/R/tests/testdir_autoGen/complexFilterTest_test_caba88b5_c6d0_4508_981f_aeb8e0b0d83d.R deleted file mode 100644 index d3213fb493..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_test_caba88b5_c6d0_4508_981f_aeb8e0b0d83d.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_test_caba88b5_c6d0_4508_981f_aeb8e0b0d83d <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '<=', '|', '==', '&', '<=', '&', '<=', '&', '<=']> ") - Log.info("Uploading test") - hex <- h2o.uploadFile(conn, "../../../smalldata/chess/chess_2x2x100/R/test.csv", "test.hex") - Log.info("Performing compound task !( ( hex[,c(\"y\")] <= 0.311485755605 ) | ( hex[,c(\"x\")] == 0.289892999758 ) & ( hex[,c(\"y\")] <= 1.18994397443 ) & ( hex[,c(\"x\")] <= 0.24814766038 ) & ( ( hex[,c(\"x\")] <= 1.54630098994 )) ) on dataset ") - filterHex <- hex[!( ( hex[,c("y")] <= 0.311485755605 ) | ( hex[,c("x")] == 0.289892999758 ) & ( hex[,c("y")] <= 1.18994397443 ) & ( hex[,c("x")] <= 0.24814766038 ) & ( ( hex[,c("x")] <= 1.54630098994 )) ),] - Log.info("Performing compound task !( ( hex[,c(\"y\")] <= 0.681854704834 ) | ( hex[,c(\"y\")] == 0.178026868362 ) & ( hex[,c(\"x\")] <= 0.18699934396 ) & ( hex[,c(\"y\")] <= 1.92997343946 ) & ( ( hex[,c(\"x\")] <= 1.75450107676 )) ) on dataset test, and also subsetting columns.") - filterHex <- hex[!( ( hex[,c("y")] <= 0.681854704834 ) | ( hex[,c("y")] == 0.178026868362 ) & ( hex[,c("x")] <= 0.18699934396 ) & ( hex[,c("y")] <= 1.92997343946 ) & ( ( hex[,c("x")] <= 1.75450107676 )) ), c("x","y")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( hex[,c("y")] <= 0.681854704834 ) | ( hex[,c("y")] == 0.178026868362 ) & ( hex[,c("x")] <= 0.18699934396 ) & ( hex[,c("y")] <= 1.92997343946 ) & ( ( hex[,c("x")] <= 1.75450107676 )) ), c("color")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data test", complexFilterTest_test_caba88b5_c6d0_4508_981f_aeb8e0b0d83d(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_test_cb2063ce_62b2_4ea1_90c1_a0184a2a71aa.R b/R/tests/testdir_autoGen/complexFilterTest_test_cb2063ce_62b2_4ea1_90c1_a0184a2a71aa.R deleted file mode 100644 index 6d3ae1aaf2..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_test_cb2063ce_62b2_4ea1_90c1_a0184a2a71aa.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_test_cb2063ce_62b2_4ea1_90c1_a0184a2a71aa <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '<=', '|', '==', '&', '<=', '&', '<=', '&', '<=']> ") - Log.info("Uploading test") - hex <- h2o.uploadFile(conn, "../../../smalldata/chess/chess_2x2x1000/weka/test.csv.arff", "test.hex") - Log.info("Performing compound task !( ( hex[,c(1)] <= 0.905629834341 ) | ( hex[,c(1)] == 1.3605186493 ) & ( hex[,c(1)] <= 1.49750247211 ) & ( hex[,c(1)] <= 1.801858809 ) & ( ( hex[,c(1)] <= 1.28807827287 )) ) on dataset ") - filterHex <- hex[!( ( hex[,c(1)] <= 0.905629834341 ) | ( hex[,c(1)] == 1.3605186493 ) & ( hex[,c(1)] <= 1.49750247211 ) & ( hex[,c(1)] <= 1.801858809 ) & ( ( hex[,c(1)] <= 1.28807827287 )) ),] - Log.info("Performing compound task !( ( hex[,c(1)] <= 0.464437509545 ) | ( hex[,c(1)] == 0.563152760019 ) & ( hex[,c(1)] <= 0.909140942953 ) & ( hex[,c(1)] <= 1.09034102486 ) & ( ( hex[,c(1)] <= 0.300955202792 )) ) on dataset test, and also subsetting columns.") - filterHex <- hex[!( ( hex[,c(1)] <= 0.464437509545 ) | ( hex[,c(1)] == 0.563152760019 ) & ( hex[,c(1)] <= 0.909140942953 ) & ( hex[,c(1)] <= 1.09034102486 ) & ( ( hex[,c(1)] <= 0.300955202792 )) ), c(1)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( hex[,c(1)] <= 0.464437509545 ) | ( hex[,c(1)] == 0.563152760019 ) & ( hex[,c(1)] <= 0.909140942953 ) & ( hex[,c(1)] <= 1.09034102486 ) & ( ( hex[,c(1)] <= 0.300955202792 )) ), c(2)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data test", complexFilterTest_test_cb2063ce_62b2_4ea1_90c1_a0184a2a71aa(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_test_e57786c5_c93b_4cd1_8692_6b27ca2c9338.R b/R/tests/testdir_autoGen/complexFilterTest_test_e57786c5_c93b_4cd1_8692_6b27ca2c9338.R deleted file mode 100644 index fb85e21cb8..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_test_e57786c5_c93b_4cd1_8692_6b27ca2c9338.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_test_e57786c5_c93b_4cd1_8692_6b27ca2c9338 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '<', '&', '<']> ") - Log.info("Uploading test") - hex <- h2o.uploadFile(conn, "../../../smalldata/chess/chess_2x2x10/weka/test.csv.arff", "test.hex") - Log.info("Performing compound task ( hex[,c(1)] != 1.234153138 ) | ( hex[,c(1)] < 0.993593405013 ) on dataset ") - filterHex <- hex[( hex[,c(1)] != 1.234153138 ) | ( hex[,c(1)] < 0.993593405013 ),] - Log.info("Performing compound task ( hex[,c(1)] != 1.5166377041 ) | ( hex[,c(1)] < 1.33904133813 ) on dataset test, and also subsetting columns.") - filterHex <- hex[( hex[,c(1)] != 1.5166377041 ) | ( hex[,c(1)] < 1.33904133813 ), c(1)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c(1)] != 1.5166377041 ) | ( hex[,c(1)] < 1.33904133813 ), c(2)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data test", complexFilterTest_test_e57786c5_c93b_4cd1_8692_6b27ca2c9338(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_test_manycol_tree_204af8b4_b5d4_4154_9b84_aa0245f65deb.R b/R/tests/testdir_autoGen/complexFilterTest_test_manycol_tree_204af8b4_b5d4_4154_9b84_aa0245f65deb.R deleted file mode 100644 index 0138b65cb0..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_test_manycol_tree_204af8b4_b5d4_4154_9b84_aa0245f65deb.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_test_manycol_tree_204af8b4_b5d4_4154_9b84_aa0245f65deb <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '!=']> ") - Log.info("Uploading test_manycol_tree") - hex <- h2o.uploadFile(conn, "../../../smalldata/test/test_manycol_tree.csv", "test_manycol_tree.hex") - Log.info("Performing compound task !( ( ( hex[,c(\"X\")] != 1.66165091054 )) ) on dataset ") - filterHex <- hex[!( ( ( hex[,c("X")] != 1.66165091054 )) ),] - Log.info("Performing compound task !( ( ( hex[,c(\"A\")] != 2.09397687975 )) ) on dataset test_manycol_tree, and also subsetting columns.") - filterHex <- hex[!( ( ( hex[,c("A")] != 2.09397687975 )) ), c("X","A","B","C","D")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( ( hex[,c("A")] != 2.09397687975 )) ), c("response")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data test_manycol_tree", complexFilterTest_test_manycol_tree_204af8b4_b5d4_4154_9b84_aa0245f65deb(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_tnc3_10_4ae10226_88a0_4c6a_b7e5_5737b6d0361d.R b/R/tests/testdir_autoGen/complexFilterTest_tnc3_10_4ae10226_88a0_4c6a_b7e5_5737b6d0361d.R deleted file mode 100644 index 1c34ba2689..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_tnc3_10_4ae10226_88a0_4c6a_b7e5_5737b6d0361d.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_tnc3_10_4ae10226_88a0_4c6a_b7e5_5737b6d0361d <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '<=', '|', '==', '&', '<=', '&', '<=', '&', '<=']> ") - Log.info("Uploading tnc3_10") - hex <- h2o.uploadFile(conn, "../../../smalldata/tnc3_10.csv", "tnc3_10.hex") - Log.info("Performing compound task !( ( hex[,c(\"pclass\")] <= 1.0 ) | ( hex[,c(\"fare\")] == 48.3666316847 ) & ( hex[,c(\"fare\")] <= 76.9862211755 ) & ( hex[,c(\"survived\")] <= 0.21373415302 ) & ( ( hex[,c(\"parch\")] <= 1.86376769712 )) ) on dataset ") - filterHex <- hex[!( ( hex[,c("pclass")] <= 1.0 ) | ( hex[,c("fare")] == 48.3666316847 ) & ( hex[,c("fare")] <= 76.9862211755 ) & ( hex[,c("survived")] <= 0.21373415302 ) & ( ( hex[,c("parch")] <= 1.86376769712 )) ),] - Log.info("Performing compound task !( ( hex[,c(\"age\")] <= 30.1087146513 ) | ( hex[,c(\"pclass\")] == 1.0 ) & ( hex[,c(\"fare\")] <= 40.264163379 ) & ( hex[,c(\"survived\")] <= 0.769079541209 ) & ( ( hex[,c(\"sibsp\")] <= 1.39367434774 )) ) on dataset tnc3_10, and also subsetting columns.") - filterHex <- hex[!( ( hex[,c("age")] <= 30.1087146513 ) | ( hex[,c("pclass")] == 1.0 ) & ( hex[,c("fare")] <= 40.264163379 ) & ( hex[,c("survived")] <= 0.769079541209 ) & ( ( hex[,c("sibsp")] <= 1.39367434774 )) ), c("fare","pclass","survived","age","sibsp","parch")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( hex[,c("age")] <= 30.1087146513 ) | ( hex[,c("pclass")] == 1.0 ) & ( hex[,c("fare")] <= 40.264163379 ) & ( hex[,c("survived")] <= 0.769079541209 ) & ( ( hex[,c("sibsp")] <= 1.39367434774 )) ), c("boat","name","sex","ticket","cabin","home.dest","body","embarked")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data tnc3_10", complexFilterTest_tnc3_10_4ae10226_88a0_4c6a_b7e5_5737b6d0361d(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_tnc6_3b02ae2e_f90f_4b7b_940e_ae928162c88d.R b/R/tests/testdir_autoGen/complexFilterTest_tnc6_3b02ae2e_f90f_4b7b_940e_ae928162c88d.R deleted file mode 100644 index 6a527d9e6f..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_tnc6_3b02ae2e_f90f_4b7b_940e_ae928162c88d.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_tnc6_3b02ae2e_f90f_4b7b_940e_ae928162c88d <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '==', '&', '!|', '!', '>']> ") - Log.info("Uploading tnc6") - hex <- h2o.uploadFile(conn, "../../../smalldata/tnc6.csv", "tnc6.hex") - Log.info("Performing compound task ( hex[,c(\"cabin\")] != -1.0 ) | ( hex[,c(\"cabin\")] == -1.0 ) & ( hex[,c(\"ticket\")] !| 1700840.83592 ) ! ( hex[,c(\"ticket\")] > 540258.023085 ) on dataset ") - filterHex <- hex[( hex[,c("cabin")] != -1.0 ) | ( hex[,c("cabin")] == -1.0 ) & ( hex[,c("ticket")] !| 1700840.83592 ) ! ( hex[,c("ticket")] > 540258.023085 ),] - Log.info("Performing compound task ( hex[,c(\"home.dest\")] != -1.0 ) | ( hex[,c(\"cabin\")] == -1.0 ) & ( hex[,c(\"survived\")] !| 0.472822899846 ) ! ( hex[,c(\"embarked\")] > -1.0 ) on dataset tnc6, and also subsetting columns.") - filterHex <- hex[( hex[,c("home.dest")] != -1.0 ) | ( hex[,c("cabin")] == -1.0 ) & ( hex[,c("survived")] !| 0.472822899846 ) ! ( hex[,c("embarked")] > -1.0 ), c("boat","fare","ticket","survived","cabin","home.dest","body","embarked")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c("home.dest")] != -1.0 ) | ( hex[,c("cabin")] == -1.0 ) & ( hex[,c("survived")] !| 0.472822899846 ) ! ( hex[,c("embarked")] > -1.0 ), c(1)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data tnc6", complexFilterTest_tnc6_3b02ae2e_f90f_4b7b_940e_ae928162c88d(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_train_3d0a441c_dfdf_4780_b09a_1e19c6817540.R b/R/tests/testdir_autoGen/complexFilterTest_train_3d0a441c_dfdf_4780_b09a_1e19c6817540.R deleted file mode 100644 index 027e306879..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_train_3d0a441c_dfdf_4780_b09a_1e19c6817540.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_train_3d0a441c_dfdf_4780_b09a_1e19c6817540 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '!=']> ") - Log.info("Uploading train") - hex <- h2o.uploadFile(conn, "../../../smalldata/chess/chess_2x2x500/h2o/train.csv", "train.hex") - Log.info("Performing compound task !( ( ( hex[,c(\"x\")] != 1.3948227204 )) ) on dataset ") - filterHex <- hex[!( ( ( hex[,c("x")] != 1.3948227204 )) ),] - Log.info("Performing compound task !( ( ( hex[,c(\"y\")] != 0.200856484709 )) ) on dataset train, and also subsetting columns.") - filterHex <- hex[!( ( ( hex[,c("y")] != 0.200856484709 )) ), c("x","y")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( ( hex[,c("y")] != 0.200856484709 )) ), c("color")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data train", complexFilterTest_train_3d0a441c_dfdf_4780_b09a_1e19c6817540(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_train_541977e4_9182_4568_bbad_0712f91f6b89.R b/R/tests/testdir_autoGen/complexFilterTest_train_541977e4_9182_4568_bbad_0712f91f6b89.R deleted file mode 100644 index b8d6614342..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_train_541977e4_9182_4568_bbad_0712f91f6b89.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_train_541977e4_9182_4568_bbad_0712f91f6b89 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '==', '&', '!|', '!', '>']> ") - Log.info("Uploading train") - hex <- h2o.uploadFile(conn, "../../../smalldata/chess/chess_2x2x200/weka/train.csv.arff", "train.hex") - Log.info("Performing compound task ( hex[,c(1)] != 1.80003941188 ) | ( hex[,c(1)] == 0.23380398118 ) & ( hex[,c(1)] !| 0.686464849157 ) ! ( hex[,c(1)] > 1.80039855541 ) on dataset ") - filterHex <- hex[( hex[,c(1)] != 1.80003941188 ) | ( hex[,c(1)] == 0.23380398118 ) & ( hex[,c(1)] !| 0.686464849157 ) ! ( hex[,c(1)] > 1.80039855541 ),] - Log.info("Performing compound task ( hex[,c(1)] != 1.97803431948 ) | ( hex[,c(1)] == 1.93196099667 ) & ( hex[,c(1)] !| 1.70466170344 ) ! ( hex[,c(1)] > 1.25777396022 ) on dataset train, and also subsetting columns.") - filterHex <- hex[( hex[,c(1)] != 1.97803431948 ) | ( hex[,c(1)] == 1.93196099667 ) & ( hex[,c(1)] !| 1.70466170344 ) ! ( hex[,c(1)] > 1.25777396022 ), c(1)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c(1)] != 1.97803431948 ) | ( hex[,c(1)] == 1.93196099667 ) & ( hex[,c(1)] !| 1.70466170344 ) ! ( hex[,c(1)] > 1.25777396022 ), c(2)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data train", complexFilterTest_train_541977e4_9182_4568_bbad_0712f91f6b89(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_train_639cff3d_4591_4237_a5b7_b091b4f20e4b.R b/R/tests/testdir_autoGen/complexFilterTest_train_639cff3d_4591_4237_a5b7_b091b4f20e4b.R deleted file mode 100644 index a3f328982d..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_train_639cff3d_4591_4237_a5b7_b091b4f20e4b.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_train_639cff3d_4591_4237_a5b7_b091b4f20e4b <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '<', '&', '<']> ") - Log.info("Uploading train") - hex <- h2o.uploadFile(conn, "../../../smalldata/chess/chess_2x2x1000/R/train.csv", "train.hex") - Log.info("Performing compound task ( hex[,c(\"y\")] != 0.495288169615 ) | ( hex[,c(\"y\")] < 1.78329114683 ) & ( ( hex[,c(\"y\")] < 0.2314068932 )) on dataset ") - filterHex <- hex[( hex[,c("y")] != 0.495288169615 ) | ( hex[,c("y")] < 1.78329114683 ) & ( ( hex[,c("y")] < 0.2314068932 )) ,] - Log.info("Performing compound task ( hex[,c(\"x\")] != 0.1368402839 ) | ( hex[,c(\"y\")] < 0.0405012437564 ) & ( ( hex[,c(\"y\")] < 0.663257058033 )) on dataset train, and also subsetting columns.") - filterHex <- hex[( hex[,c("x")] != 0.1368402839 ) | ( hex[,c("y")] < 0.0405012437564 ) & ( ( hex[,c("y")] < 0.663257058033 )) , c("x","y")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c("x")] != 0.1368402839 ) | ( hex[,c("y")] < 0.0405012437564 ) & ( ( hex[,c("y")] < 0.663257058033 )) , c("color")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data train", complexFilterTest_train_639cff3d_4591_4237_a5b7_b091b4f20e4b(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_train_8ed71707_20f5_40e4_bfc4_41d41c0d97f3.R b/R/tests/testdir_autoGen/complexFilterTest_train_8ed71707_20f5_40e4_bfc4_41d41c0d97f3.R deleted file mode 100644 index ffadd81bfa..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_train_8ed71707_20f5_40e4_bfc4_41d41c0d97f3.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_train_8ed71707_20f5_40e4_bfc4_41d41c0d97f3 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '<=', '|', '==', '&', '<=', '&', '<=', '&', '<=']> ") - Log.info("Uploading train") - hex <- h2o.uploadFile(conn, "../../../smalldata/chess/chess_2x2x500/h2o/train.csv", "train.hex") - Log.info("Performing compound task !( ( hex[,c(\"x\")] <= 1.03766176378 ) | ( hex[,c(\"x\")] == 0.313625044119 ) & ( hex[,c(\"y\")] <= 1.6323621256 ) & ( hex[,c(\"x\")] <= 1.25111683208 ) & ( ( hex[,c(\"y\")] <= 1.00599060264 )) ) on dataset ") - filterHex <- hex[!( ( hex[,c("x")] <= 1.03766176378 ) | ( hex[,c("x")] == 0.313625044119 ) & ( hex[,c("y")] <= 1.6323621256 ) & ( hex[,c("x")] <= 1.25111683208 ) & ( ( hex[,c("y")] <= 1.00599060264 )) ),] - Log.info("Performing compound task !( ( hex[,c(\"y\")] <= 0.934969227113 ) | ( hex[,c(\"x\")] == 1.66269797614 ) & ( hex[,c(\"y\")] <= 1.66201281113 ) & ( hex[,c(\"x\")] <= 0.403470676541 ) & ( ( hex[,c(\"x\")] <= 1.80909137816 )) ) on dataset train, and also subsetting columns.") - filterHex <- hex[!( ( hex[,c("y")] <= 0.934969227113 ) | ( hex[,c("x")] == 1.66269797614 ) & ( hex[,c("y")] <= 1.66201281113 ) & ( hex[,c("x")] <= 0.403470676541 ) & ( ( hex[,c("x")] <= 1.80909137816 )) ), c("x","y")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( hex[,c("y")] <= 0.934969227113 ) | ( hex[,c("x")] == 1.66269797614 ) & ( hex[,c("y")] <= 1.66201281113 ) & ( hex[,c("x")] <= 0.403470676541 ) & ( ( hex[,c("x")] <= 1.80909137816 )) ), c("color")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data train", complexFilterTest_train_8ed71707_20f5_40e4_bfc4_41d41c0d97f3(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_two_spiral_8c936caa_334e_44a7_968b_6a9187e610ec.R b/R/tests/testdir_autoGen/complexFilterTest_two_spiral_8c936caa_334e_44a7_968b_6a9187e610ec.R deleted file mode 100644 index 276fc4eec8..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_two_spiral_8c936caa_334e_44a7_968b_6a9187e610ec.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_two_spiral_8c936caa_334e_44a7_968b_6a9187e610ec <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '<', '&', '<']> ") - Log.info("Uploading two_spiral") - hex <- h2o.uploadFile(conn, "../../../smalldata/neural/two_spiral.data", "two_spiral.hex") - Log.info("Performing compound task ( hex[,c(\"Y\")] != -4.45168753003 ) | ( hex[,c(\"Y\")] < -1.16954969379 ) & ( ( hex[,c(\"Class\")] < 0.783088173736 )) on dataset ") - filterHex <- hex[( hex[,c("Y")] != -4.45168753003 ) | ( hex[,c("Y")] < -1.16954969379 ) & ( ( hex[,c("Class")] < 0.783088173736 )) ,] - Log.info("Performing compound task ( hex[,c(\"Class\")] != 0.0619462149364 ) | ( hex[,c(\"X\")] < 1.55766031148 ) & ( ( hex[,c(\"Class\")] < 0.266519116925 )) on dataset two_spiral, and also subsetting columns.") - filterHex <- hex[( hex[,c("Class")] != 0.0619462149364 ) | ( hex[,c("X")] < 1.55766031148 ) & ( ( hex[,c("Class")] < 0.266519116925 )) , c("Y","Class","X")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c("Class")] != 0.0619462149364 ) | ( hex[,c("X")] < 1.55766031148 ) & ( ( hex[,c("Class")] < 0.266519116925 )) , c(1)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data two_spiral", complexFilterTest_two_spiral_8c936caa_334e_44a7_968b_6a9187e610ec(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_why_perfect_training_100x500_3b176a0b_6324_43f6_a2bd_8836b99d70aa.R b/R/tests/testdir_autoGen/complexFilterTest_why_perfect_training_100x500_3b176a0b_6324_43f6_a2bd_8836b99d70aa.R deleted file mode 100644 index d30f976f12..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_why_perfect_training_100x500_3b176a0b_6324_43f6_a2bd_8836b99d70aa.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_why_perfect_training_100x500_3b176a0b_6324_43f6_a2bd_8836b99d70aa <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '!=']> ") - Log.info("Uploading why_perfect_training_100x500") - hex <- h2o.uploadFile(conn, "../../../smalldata/logreg/why_perfect_training_100x500.csv", "why_perfect_training_100x500.hex") - Log.info("Performing compound task !( ( ( hex[,c(36)] != 0.33616155653 )) ) on dataset ") - filterHex <- hex[!( ( ( hex[,c(36)] != 0.33616155653 )) ),] - Log.info("Performing compound task !( ( ( hex[,c(45)] != 0.887139926124 )) ) on dataset why_perfect_training_100x500, and also subsetting columns.") - filterHex <- hex[!( ( ( hex[,c(45)] != 0.887139926124 )) ), c(152,223,196,60,131,111,106,45,344,78,440,446,444,168,71,227,226,225,92,95,162,105,419,355,293)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( ( hex[,c(45)] != 0.887139926124 )) ), c(346,347,340,341,342,343,348,349,298,299,296,297,294,295,292,290,291,199,198,195,194,197,191,190,193,192,270,271,272,273,274,275,276,277,278,279,449,448,443,442,441,447,445,108,109,102,103,100,101,107,104,39,38,33,32,31,30,37,36,35,34,438,439,436,437,434,435,432,433,430,431,339,338,335,334,337,336,331,330,333,332,345,6,99,98,91,90,93,94,97,96,238,239,234,235,236,237,230,231,232,233,1,146,147,144,145,142,143,140,141,148,149,133,132,130,137,136,135,134,494,495,139,138,490,491,492,493,24,25,26,27,20,21,22,23,28,29,407,406,405,404,403,402,401,400,409,408,379,378,371,370,373,372,375,374,377,376,393,392,88,89,397,396,395,394,82,83,80,81,86,87,84,85,7,245,244,247,246,241,240,243,242,249,248,458,459,450,451,452,453,454,455,456,457,179,178,177,176,175,174,173,172,171,170,253,182,183,180,181,186,187,184,185,188,189,11,10,13,12,15,14,17,16,19,18,62,322,323,320,321,326,327,324,325,328,329,201,200,203,202,205,204,207,206,209,208,77,76,75,74,73,72,70,79,2,8,68,120,121,122,123,124,125,126,127,128,129,414,415,416,417,410,411,412,413,498,418,499,319,318,313,312,311,310,317,316,315,314,496,497,3,368,369,366,367,364,365,362,363,360,361,380,381,382,383,384,385,386,387,388,389,61,258,259,64,65,66,67,252,69,250,251,256,257,254,255,500,469,468,465,464,467,466,461,460,463,462,169,164,165,166,167,160,161,163,9,357,356,354,353,352,351,350,359,358,216,217,214,215,212,213,210,211,218,219,289,288,4,281,280,283,282,285,284,287,286,263,262,261,260,267,266,265,264,269,268,59,58,55,54,57,56,51,50,53,52,63,115,114,117,116,110,113,112,119,118,429,428,421,420,423,422,425,424,427,426,308,309,300,301,302,303,304,305,306,307,229,228,224,222,221,220,391,390,151,150,153,155,154,157,156,159,158,399,398,48,49,46,47,44,42,43,40,41,5,489,488,487,486,485,484,483,482,481,480,472,473,470,471,476,477,474,475,478,479)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data why_perfect_training_100x500", complexFilterTest_why_perfect_training_100x500_3b176a0b_6324_43f6_a2bd_8836b99d70aa(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_winesPCA_9d660929_579a_4cbe_9e62_5513b45ea1fd.R b/R/tests/testdir_autoGen/complexFilterTest_winesPCA_9d660929_579a_4cbe_9e62_5513b45ea1fd.R deleted file mode 100644 index 5ccddfe78d..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_winesPCA_9d660929_579a_4cbe_9e62_5513b45ea1fd.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_winesPCA_9d660929_579a_4cbe_9e62_5513b45ea1fd <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '<', '&', '<']> ") - Log.info("Uploading winesPCA") - hex <- h2o.uploadFile(conn, "../../../smalldata/winesPCA.csv", "winesPCA.hex") - Log.info("Performing compound task ( hex[,c(1)] != -2.24018717383 ) | ( hex[,c(1)] < -1.04134952647 ) & ( ( hex[,c(1)] < -2.12199903709 )) on dataset ") - filterHex <- hex[( hex[,c(1)] != -2.24018717383 ) | ( hex[,c(1)] < -1.04134952647 ) & ( ( hex[,c(1)] < -2.12199903709 )) ,] - Log.info("Performing compound task ( hex[,c(1)] != 0.786274498953 ) | ( hex[,c(1)] < -1.9483202097 ) & ( ( hex[,c(1)] < 1.95248656742 )) on dataset winesPCA, and also subsetting columns.") - filterHex <- hex[( hex[,c(1)] != 0.786274498953 ) | ( hex[,c(1)] < -1.9483202097 ) & ( ( hex[,c(1)] < 1.95248656742 )) , c(1)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c(1)] != 0.786274498953 ) | ( hex[,c(1)] < -1.9483202097 ) & ( ( hex[,c(1)] < 1.95248656742 )) , c(1)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data winesPCA", complexFilterTest_winesPCA_9d660929_579a_4cbe_9e62_5513b45ea1fd(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_zero_dot_zero_one_912d4dcd_e59f_439c_8b25_c6ec6968599a.R b/R/tests/testdir_autoGen/complexFilterTest_zero_dot_zero_one_912d4dcd_e59f_439c_8b25_c6ec6968599a.R deleted file mode 100644 index e821ed2aee..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_zero_dot_zero_one_912d4dcd_e59f_439c_8b25_c6ec6968599a.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_zero_dot_zero_one_912d4dcd_e59f_439c_8b25_c6ec6968599a <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '==', '&', '!|', '!', '>']> ") - Log.info("Uploading zero_dot_zero_one") - hex <- h2o.uploadFile(conn, "../../../smalldata/zero_dot_zero_one.csv", "zero_dot_zero_one.hex") - Log.info("Performing compound task ( hex[,c(2)] != -0.01 ) | ( hex[,c(1)] == 0.01 ) & ( hex[,c(1)] !| 0.01 ) ! ( hex[,c(1)] > 0.01 ) on dataset ") - filterHex <- hex[( hex[,c(2)] != -0.01 ) | ( hex[,c(1)] == 0.01 ) & ( hex[,c(1)] !| 0.01 ) ! ( hex[,c(1)] > 0.01 ),] - Log.info("Performing compound task ( hex[,c(2)] != -0.01 ) | ( hex[,c(2)] == -0.01 ) & ( hex[,c(1)] !| 0.01 ) ! ( hex[,c(1)] > 0.01 ) on dataset zero_dot_zero_one, and also subsetting columns.") - filterHex <- hex[( hex[,c(2)] != -0.01 ) | ( hex[,c(2)] == -0.01 ) & ( hex[,c(1)] !| 0.01 ) ! ( hex[,c(1)] > 0.01 ), c(1,2)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c(2)] != -0.01 ) | ( hex[,c(2)] == -0.01 ) & ( hex[,c(1)] !| 0.01 ) ! ( hex[,c(1)] > 0.01 ), c(1)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data zero_dot_zero_one", complexFilterTest_zero_dot_zero_one_912d4dcd_e59f_439c_8b25_c6ec6968599a(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_zero_dot_zero_one_d6705199_cf5c_4fda_934a_207de8f2b9be.R b/R/tests/testdir_autoGen/complexFilterTest_zero_dot_zero_one_d6705199_cf5c_4fda_934a_207de8f2b9be.R deleted file mode 100644 index 8be3489492..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_zero_dot_zero_one_d6705199_cf5c_4fda_934a_207de8f2b9be.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_zero_dot_zero_one_d6705199_cf5c_4fda_934a_207de8f2b9be <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['', '!=', '|', '<', '&', '<']> ") - Log.info("Uploading zero_dot_zero_one") - hex <- h2o.uploadFile(conn, "../../../smalldata/zero_dot_zero_one.csv", "zero_dot_zero_one.hex") - Log.info("Performing compound task ( hex[,c(1)] != 0.01 ) | ( hex[,c(1)] < 0.01 ) & ( ( hex[,c(1)] < 0.01 )) on dataset ") - filterHex <- hex[( hex[,c(1)] != 0.01 ) | ( hex[,c(1)] < 0.01 ) & ( ( hex[,c(1)] < 0.01 )) ,] - Log.info("Performing compound task ( hex[,c(1)] != 0.01 ) | ( hex[,c(1)] < 0.01 ) & ( ( hex[,c(1)] < 0.01 )) on dataset zero_dot_zero_one, and also subsetting columns.") - filterHex <- hex[( hex[,c(1)] != 0.01 ) | ( hex[,c(1)] < 0.01 ) & ( ( hex[,c(1)] < 0.01 )) , c(1,2)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[( hex[,c(1)] != 0.01 ) | ( hex[,c(1)] < 0.01 ) & ( ( hex[,c(1)] < 0.01 )) , c(1)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data zero_dot_zero_one", complexFilterTest_zero_dot_zero_one_d6705199_cf5c_4fda_934a_207de8f2b9be(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/complexFilterTest_zip_code_database_f2d93044_bfb2_4a57_93e0_d3bbd4952674.R b/R/tests/testdir_autoGen/complexFilterTest_zip_code_database_f2d93044_bfb2_4a57_93e0_d3bbd4952674.R deleted file mode 100644 index 4e79758c52..0000000000 --- a/R/tests/testdir_autoGen/complexFilterTest_zip_code_database_f2d93044_bfb2_4a57_93e0_d3bbd4952674.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - complexFilterTest_zip_code_database_f2d93044_bfb2_4a57_93e0_d3bbd4952674 <- function(conn) { - Log.info("A munge-task R unit test on data testing the compound functional unit <['!', '<=', '|', '==', '&', '<=', '&', '<=', '&', '<=']> ") - Log.info("Uploading zip_code_database") - hex <- h2o.uploadFile(conn, "../../../smalldata/zip_code/zip_code_database.csv.gz", "zip_code_database.hex") - Log.info("Performing compound task !( ( hex[,c(\"zip\")] <= 81048.3030954 ) | ( hex[,c(\"unacceptable_cities\")] == 88.0 ) & ( hex[,c(\"unacceptable_cities\")] <= 88.0 ) & ( hex[,c(\"area_codes\")] <= 468.262701938 ) & ( ( hex[,c(\"area_codes\")] <= 485.917050832 )) ) on dataset ") - filterHex <- hex[!( ( hex[,c("zip")] <= 81048.3030954 ) | ( hex[,c("unacceptable_cities")] == 88.0 ) & ( hex[,c("unacceptable_cities")] <= 88.0 ) & ( hex[,c("area_codes")] <= 468.262701938 ) & ( ( hex[,c("area_codes")] <= 485.917050832 )) ),] - Log.info("Performing compound task !( ( hex[,c(\"area_codes\")] <= 833.485734961 ) | ( hex[,c(\"estimated_population\")] == 65717.3148094 ) & ( hex[,c(\"longitude\")] <= -72.3239823346 ) & ( hex[,c(\"decommissioned\")] <= 0.251853930854 ) & ( ( hex[,c(\"longitude\")] <= -130.620272924 )) ) on dataset zip_code_database, and also subsetting columns.") - filterHex <- hex[!( ( hex[,c("area_codes")] <= 833.485734961 ) | ( hex[,c("estimated_population")] == 65717.3148094 ) & ( hex[,c("longitude")] <= -72.3239823346 ) & ( hex[,c("decommissioned")] <= 0.251853930854 ) & ( ( hex[,c("longitude")] <= -130.620272924 )) ), c("area_codes","unacceptable_cities","decommissioned","zip","longitude","estimated_population","latitude")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[!( ( hex[,c("area_codes")] <= 833.485734961 ) | ( hex[,c("estimated_population")] == 65717.3148094 ) & ( hex[,c("longitude")] <= -72.3239823346 ) & ( hex[,c("decommissioned")] <= 0.251853930854 ) & ( ( hex[,c("longitude")] <= -130.620272924 )) ), c("timezone","county","world_region","state","country","type","primary_city","notes","acceptable_cities")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("compoundFilterTest_ on data zip_code_database", complexFilterTest_zip_code_database_f2d93044_bfb2_4a57_93e0_d3bbd4952674(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/findNSourceUtils.R b/R/tests/testdir_autoGen/findNSourceUtils.R new file mode 100644 index 0000000000..d786a3b07c --- /dev/null +++ b/R/tests/testdir_autoGen/findNSourceUtils.R @@ -0,0 +1,96 @@ +options(echo=FALSE) +## +# Utilities for relative paths in R +## + +SEARCHPATH <- NULL +calcPath<- +function(path, root) { + if (basename(path) == "h2o") { + print("[WARN]: Could not find the bucket that you specified! Checking R/*.") + SEARCHPATH <<- path + return(-1) + } + if (basename(path) == root || root %in% dir(path)) return(0) + if (basename(dirname(path)) == root || root %in% dir(dirname(path))) return(1) + return(ifelse( calcPath( dirname( path), root) < 0, -1, 1 + calcPath( dirname( path), root) ) ) +} + +genDots<- +function(distance) { + if(distance == 0) return('./') + return(paste(rep("../", distance), collapse="")) +} + +locate<- +function(dataName = NULL, bucket = NULL, path = NULL, fullPath = NULL, schema = "put") { + if (!is.null(fullPath)) { + if (schema == "local") return(paste("./", gsub("[./]",fullPath), sep = "")) + return(fullPath) #schema is put + } + + if(!is.null(bucket)) { + if(is.null(path)) stop("\"path\" must be specified along with bucket. Path is the bucket offset.") + bucket <- gsub("[./]","",bucket) + path <- ifelse(substring(path,1,1) == '/', substring(path,2), path) + path <- ifelse(substring(path,nchar(path)) == '/', substring(path,1,nchar(path)-1),path) + if (schema == "local") return(paste("./",bucket,"/",path,sep = "")) + if (schema == "put") { + distance.bucket.root <- calcPath(getwd(), bucket) + if (distance.bucket.root < 0) { + Log.err(paste("Could not find bucket ", bucket, "\n")) + } + bucket.dots <- genDots(distance.bucket.root) + fullPath <- paste(bucket.dots,bucket,'/',path,sep="") + return(fullPath) + } + if (schema == "S3") stop("Unimpl") + } + + if (!is.null(dataName)) { + bn <- basename(dataName) + dataName <- dirname(dataName) + dataName <- gsub("\\.","", gsub("\\./","",dataName)) + if(!is.null(SEARCHPATH)) return(paste(SEARCHPATH, "/", dataName, sep = "")) + psplit <- strsplit(dataName, "/")[[1]] + bucket <- psplit[1] + path <- paste(psplit[-1], bn, collapse="/", sep = "/") + return(locate(bucket = bucket, path = path, schema = schema)) + } +} + +getBucket<- +function(bucket = NULL) { + if(is.null(bucket)) stop("Did not specify bucket...") + print(bucket) + bucket <- gsub("[./]","",bucket) + distance.bucket.root <- calcPath(getwd(), bucket) + bucket.dots <- genDots(distance.bucket.root) + newBucket <- paste(bucket.dots, bucket, sep ="") + return(newBucket) +} + +distance <- calcPath(getwd(), "tests") +if (distance < 0) { + path <- paste(SEARCHPATH, "/R/", sep = "") + source(paste(path, "tests/Utils/h2oR.R", sep = "")) + source(paste(path, "h2oRClient-package/R/Algorithms.R", sep = "")) + source(paste(path, "h2oRClient-package/R/Classes.R", sep = "")) + source(paste(path, "h2oRClient-package/R/ParseImport.R", sep = "")) + source(paste(path, "h2oRClient-package/R/Internal.R", sep = "")) + sandbox() +} else { + distance <- calcPath(getwd(), "tests") + dots <- genDots(distance) + newPath <- paste(dots, "Utils/h2oR.R", sep = "") + source(newPath) + + #rdots is the calculated path to the R source files... + rdots <- ifelse(dots == "./", "../", paste("../", dots, sep = "")) + + source(paste(rdots, "h2oRClient-package/R/Algorithms.R", sep = "")) + source(paste(rdots, "h2oRClient-package/R/Classes.R", sep = "")) + source(paste(rdots, "h2oRClient-package/R/ParseImport.R", sep = "")) + source(paste(rdots, "h2oRClient-package/R/Internal.R", sep = "")) + sandbox() +} diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_2_100kx7_logreg_140.R b/R/tests/testdir_autoGen/runit_complexFilterTest_2_100kx7_logreg_140.R new file mode 100644 index 0000000000..249b199d68 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_2_100kx7_logreg_140.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_2_100kx7_logreg_140 <- function(conn) { + Log.info("A munge-task R unit test on data <2_100kx7_logreg> testing the functional unit <['!', '>=']> ") + Log.info("Uploading 2_100kx7_logreg") + hex <- h2o.uploadFile(conn, "../../smalldata/2_100kx7_logreg.data.gz", "r2_100kx7_logreg.hex") + Log.info("Performing compound task !( ( ( hex[,c(2)] >= 0.268398336597 )) ) on dataset <2_100kx7_logreg>") + filterHex <- hex[!( ( ( hex[,c(2)] >= 0.268398336597 )) ),] + Log.info("Performing compound task !( ( ( hex[,c(3)] >= 13.576682878 )) ) on dataset 2_100kx7_logreg, and also subsetting columns.") + filterHex <- hex[!( ( ( hex[,c(3)] >= 13.576682878 )) ), c(1,3,2,5,4,7,6)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( ( hex[,c(3)] >= 13.576682878 )) ), c(1)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data 2_100kx7_logreg", complexFilterTest_2_100kx7_logreg_140(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_30k_categoricals_178.R b/R/tests/testdir_autoGen/runit_complexFilterTest_30k_categoricals_178.R new file mode 100644 index 0000000000..326e3d8873 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_30k_categoricals_178.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_30k_categoricals_178 <- function(conn) { + Log.info("A munge-task R unit test on data <30k_categoricals> testing the functional unit <['!', '!=', '|', '<', '|', '>=']> ") + Log.info("Uploading 30k_categoricals") + hex <- h2o.uploadFile(conn, "../../smalldata/categoricals/30k_categoricals.csv.gz", "r30k_categoricals.hex") + Log.info("Performing compound task !( ( hex[,c(1)] != 17824.0488379 ) | ( hex[,c(3)] < 0.0 ) | ( ( hex[,c(1)] >= 22843.3034153 )) ) on dataset <30k_categoricals>") + filterHex <- hex[!( ( hex[,c(1)] != 17824.0488379 ) | ( hex[,c(3)] < 0.0 ) | ( ( hex[,c(1)] >= 22843.3034153 )) ),] + Log.info("Performing compound task !( ( hex[,c(1)] != 1370.24410436 ) | ( hex[,c(3)] < 0.0 ) | ( ( hex[,c(3)] >= 0.0 )) ) on dataset 30k_categoricals, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c(1)] != 1370.24410436 ) | ( hex[,c(3)] < 0.0 ) | ( ( hex[,c(3)] >= 0.0 )) ), c(1,3)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c(1)] != 1370.24410436 ) | ( hex[,c(3)] < 0.0 ) | ( ( hex[,c(3)] >= 0.0 )) ), c(2)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data 30k_categoricals", complexFilterTest_30k_categoricals_178(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_Goalies_167.R b/R/tests/testdir_autoGen/runit_complexFilterTest_Goalies_167.R new file mode 100644 index 0000000000..78cac75c8c --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_Goalies_167.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_Goalies_167 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>', '&', '<=', '&', '!|', '!', '==']> ") + Log.info("Uploading Goalies") + hex <- h2o.uploadFile(conn, "../../smalldata/poisson/Goalies.csv", "rGoalies.hex") + Log.info("Performing compound task !( ( hex[,c(\"GA\")] > 161.398994639 ) & ( hex[,c(\"L\")] <= 24.082166549 ) & ( hex[,c(\"SA\")] !| 1509.18846662 ) ! ( hex[,c(\"Min\")] == 519.465673441 )) on dataset ") + filterHex <- hex[!( ( hex[,c("GA")] > 161.398994639 ) & ( hex[,c("L")] <= 24.082166549 ) & ( hex[,c("SA")] !| 1509.18846662 ) ! ( hex[,c("Min")] == 519.465673441 )),] + Log.info("Performing compound task !( ( hex[,c(\"Min\")] > 2655.69785224 ) & ( hex[,c(\"L\")] <= 35.7557787091 ) & ( hex[,c(\"ENG\")] !| 8.64120712564 ) ! ( hex[,c(\"PostL\")] == 5.96054254811 )) on dataset Goalies, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("Min")] > 2655.69785224 ) & ( hex[,c("L")] <= 35.7557787091 ) & ( hex[,c("ENG")] !| 8.64120712564 ) ! ( hex[,c("PostL")] == 5.96054254811 )), c("GA","PostT","T/OL","Min","stint","PostW","PostSA","GP","PostGP","PostENG","ENG","W","PostMin","SHO","PostL","year","PostGA","L")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("Min")] > 2655.69785224 ) & ( hex[,c("L")] <= 35.7557787091 ) & ( hex[,c("ENG")] !| 8.64120712564 ) ! ( hex[,c("PostL")] == 5.96054254811 )), c("tmID","playerID","SA","lgID","PostSHO")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data Goalies", complexFilterTest_Goalies_167(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_HTWO_87_one_line_dataset_1dos_142.R b/R/tests/testdir_autoGen/runit_complexFilterTest_HTWO_87_one_line_dataset_1dos_142.R new file mode 100644 index 0000000000..23472ad516 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_HTWO_87_one_line_dataset_1dos_142.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_HTWO_87_one_line_dataset_1dos_142 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>=']> ") + Log.info("Uploading HTWO-87-one-line-dataset-1dos") + hex <- h2o.uploadFile(conn, "../../smalldata/test/HTWO-87-one-line-dataset-1dos.csv", "rHTWO-87-one-line-dataset-1dos.hex") + Log.info("Performing compound task !( ( ( hex[,c(6)] >= 0.0 )) ) on dataset ") + filterHex <- hex[!( ( ( hex[,c(6)] >= 0.0 )) ),] + Log.info("Performing compound task !( ( ( hex[,c(6)] >= 0.0 )) ) on dataset HTWO-87-one-line-dataset-1dos, and also subsetting columns.") + filterHex <- hex[!( ( ( hex[,c(6)] >= 0.0 )) ), c(1,3,2,5,4,7,6,8)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( ( hex[,c(6)] >= 0.0 )) ), c(1)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data HTWO-87-one-line-dataset-1dos", complexFilterTest_HTWO_87_one_line_dataset_1dos_142(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_HTWO_87_one_line_dataset_1unix_148.R b/R/tests/testdir_autoGen/runit_complexFilterTest_HTWO_87_one_line_dataset_1unix_148.R new file mode 100644 index 0000000000..c9e0d65892 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_HTWO_87_one_line_dataset_1unix_148.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_HTWO_87_one_line_dataset_1unix_148 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>=']> ") + Log.info("Uploading HTWO-87-one-line-dataset-1unix") + hex <- h2o.uploadFile(conn, "../../smalldata/test/HTWO-87-one-line-dataset-1unix.csv", "rHTWO-87-one-line-dataset-1unix.hex") + Log.info("Performing compound task !( ( ( hex[,c(5)] >= 0.0 )) ) on dataset ") + filterHex <- hex[!( ( ( hex[,c(5)] >= 0.0 )) ),] + Log.info("Performing compound task !( ( ( hex[,c(8)] >= 0.0 )) ) on dataset HTWO-87-one-line-dataset-1unix, and also subsetting columns.") + filterHex <- hex[!( ( ( hex[,c(8)] >= 0.0 )) ), c(1,3,2,5,4,7,6,8)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( ( hex[,c(8)] >= 0.0 )) ), c(1)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data HTWO-87-one-line-dataset-1unix", complexFilterTest_HTWO_87_one_line_dataset_1unix_148(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_TwoBedrooms_Rent_Neighborhoods_190.R b/R/tests/testdir_autoGen/runit_complexFilterTest_TwoBedrooms_Rent_Neighborhoods_190.R new file mode 100644 index 0000000000..a2e25f9d76 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_TwoBedrooms_Rent_Neighborhoods_190.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_TwoBedrooms_Rent_Neighborhoods_190 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '!=', '|', '<', '|', '>=']> ") + Log.info("Uploading TwoBedrooms_Rent_Neighborhoods") + hex <- h2o.uploadFile(conn, "../../smalldata/categoricals/TwoBedrooms_Rent_Neighborhoods.csv.gz", "rTwoBedrooms_Rent_Neighborhoods.hex") + Log.info("Performing compound task !( ( hex[,c(\"count39\")] != 91390.6917161 ) | ( hex[,c(\"count64\")] < 4222.16287388 ) | ( ( hex[,c(\"count86\")] >= 2207.66327115 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c("count39")] != 91390.6917161 ) | ( hex[,c("count64")] < 4222.16287388 ) | ( ( hex[,c("count86")] >= 2207.66327115 )) ),] + Log.info("Performing compound task !( ( hex[,c(\"count37\")] != 159453.944732 ) | ( hex[,c(\"count23\")] < 479585.845873 ) | ( ( hex[,c(\"count65\")] >= 10318.6797238 )) ) on dataset TwoBedrooms_Rent_Neighborhoods, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("count37")] != 159453.944732 ) | ( hex[,c("count23")] < 479585.845873 ) | ( ( hex[,c("count65")] >= 10318.6797238 )) ), c("mcd","metro","count81","count28","count27","count42","count9","count3","count76","count99","count52","count59","Rent_Type","count20","count63","count36","count45","place","county","count67","count97","count79","count95","count34","count65","count6","count50","count4","count39","count29","medrent","count53","sumlevel","count73","count77","count41","count37","count16","count21","count33","count70","count61","count44","count12","count56","count86","count23","count94","count96","count35")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("count37")] != 159453.944732 ) | ( hex[,c("count23")] < 479585.845873 ) | ( ( hex[,c("count65")] >= 10318.6797238 )) ), c("count72","count1","count5","count54","count7","count93","count30","count89","count40","count46","count71","count18","count68","count74","count15","count26","count69","count49","count24","count32","count8","count57","areaname","count91","count38","count13","count83","count17","count87","count11","count85","count22","count92","state","count75","count58","count19","count80","count88","count47","count51","count43","count62","count2","count60","count31","count14","count98","count25","count78","count84","count82","count66","count90","count55","count48","count64","count10")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data TwoBedrooms_Rent_Neighborhoods", complexFilterTest_TwoBedrooms_Rent_Neighborhoods_190(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_USArrests_163.R b/R/tests/testdir_autoGen/runit_complexFilterTest_USArrests_163.R new file mode 100644 index 0000000000..cb634b33a6 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_USArrests_163.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_USArrests_163 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>', '&', '<=', '&', '!|', '!', '==']> ") + Log.info("Uploading USArrests") + hex <- h2o.uploadFile(conn, "../../smalldata/pca_test/USArrests.csv", "rUSArrests.hex") + Log.info("Performing compound task !( ( hex[,c(\"Assault\")] > 264.46066714 ) & ( hex[,c(\"Rape\")] <= 23.3778329544 ) & ( hex[,c(\"Rape\")] !| 39.9798681516 ) ! ( hex[,c(\"Rape\")] == 9.29324798714 )) on dataset ") + filterHex <- hex[!( ( hex[,c("Assault")] > 264.46066714 ) & ( hex[,c("Rape")] <= 23.3778329544 ) & ( hex[,c("Rape")] !| 39.9798681516 ) ! ( hex[,c("Rape")] == 9.29324798714 )),] + Log.info("Performing compound task !( ( hex[,c(\"Rape\")] > 43.5097835323 ) & ( hex[,c(\"UrbanPop\")] <= 33.109011708 ) & ( hex[,c(\"Rape\")] !| 24.158701188 ) ! ( hex[,c(\"Rape\")] == 16.2675335678 )) on dataset USArrests, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("Rape")] > 43.5097835323 ) & ( hex[,c("UrbanPop")] <= 33.109011708 ) & ( hex[,c("Rape")] !| 24.158701188 ) ! ( hex[,c("Rape")] == 16.2675335678 )), c("UrbanPop","Assault","Rape","Murder")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("Rape")] > 43.5097835323 ) & ( hex[,c("UrbanPop")] <= 33.109011708 ) & ( hex[,c("Rape")] !| 24.158701188 ) ! ( hex[,c("Rape")] == 16.2675335678 )), c(1)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data USArrests", complexFilterTest_USArrests_163(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_arit_153.R b/R/tests/testdir_autoGen/runit_complexFilterTest_arit_153.R new file mode 100644 index 0000000000..6185472a58 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_arit_153.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_arit_153 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>=']> ") + Log.info("Uploading arit") + hex <- h2o.uploadFile(conn, "../../smalldata/test/arit.csv", "rarit.hex") + Log.info("Performing compound task !( ( ( hex[,c(1)] >= 953809.558244 )) ) on dataset ") + filterHex <- hex[!( ( ( hex[,c(1)] >= 953809.558244 )) ),] + Log.info("Performing compound task !( ( ( hex[,c(1)] >= 94081.8747093 )) ) on dataset arit, and also subsetting columns.") + filterHex <- hex[!( ( ( hex[,c(1)] >= 94081.8747093 )) ), c(1)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( ( hex[,c(1)] >= 94081.8747093 )) ), c(1)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data arit", complexFilterTest_arit_153(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_cars_170.R b/R/tests/testdir_autoGen/runit_complexFilterTest_cars_170.R new file mode 100644 index 0000000000..ca15e1b530 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_cars_170.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_cars_170 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>', '&', '<=', '&', '!|', '!', '==']> ") + Log.info("Uploading cars") + hex <- h2o.uploadFile(conn, "../../smalldata/cars.csv", "rcars.hex") + Log.info("Performing compound task !( ( hex[,c(\"displacement (cc)\")] > 264.167102478 ) & ( hex[,c(\"economy (mpg)\")] <= 14.2585541627 ) & ( hex[,c(\"power (hp)\")] !| 115.607036947 ) ! ( hex[,c(\"economy (mpg)\")] == 33.0173446052 )) on dataset ") + filterHex <- hex[!( ( hex[,c("displacement (cc)")] > 264.167102478 ) & ( hex[,c("economy (mpg)")] <= 14.2585541627 ) & ( hex[,c("power (hp)")] !| 115.607036947 ) ! ( hex[,c("economy (mpg)")] == 33.0173446052 )),] + Log.info("Performing compound task !( ( hex[,c(\"economy (mpg)\")] > 23.5558876755 ) & ( hex[,c(\"year\")] <= 76.2769491005 ) & ( hex[,c(\"year\")] !| 80.289594161 ) ! ( hex[,c(\"cylinders\")] == 6.53674335362 )) on dataset cars, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("economy (mpg)")] > 23.5558876755 ) & ( hex[,c("year")] <= 76.2769491005 ) & ( hex[,c("year")] !| 80.289594161 ) ! ( hex[,c("cylinders")] == 6.53674335362 )), c("cylinders","0-60 mph (s)","power (hp)","displacement (cc)","weight (lb)","economy (mpg)","year")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("economy (mpg)")] > 23.5558876755 ) & ( hex[,c("year")] <= 76.2769491005 ) & ( hex[,c("year")] !| 80.289594161 ) ! ( hex[,c("cylinders")] == 6.53674335362 )), c("name")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data cars", complexFilterTest_cars_170(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_cgd_183.R b/R/tests/testdir_autoGen/runit_complexFilterTest_cgd_183.R new file mode 100644 index 0000000000..294a12650f --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_cgd_183.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_cgd_183 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '!=', '|', '<', '|', '>=']> ") + Log.info("Uploading cgd") + hex <- h2o.uploadFile(conn, "../../smalldata/logreg/umass_statdata/cgd.dat", "rcgd.hex") + Log.info("Performing compound task !( ( hex[,c(15)] != 5.12791406443 ) | ( hex[,c(11)] < 3.25669183212 ) | ( ( hex[,c(1)] >= 119426.972832 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c(15)] != 5.12791406443 ) | ( hex[,c(11)] < 3.25669183212 ) | ( ( hex[,c(1)] >= 119426.972832 )) ),] + Log.info("Performing compound task !( ( hex[,c(14)] != 1.4857298177 ) | ( hex[,c(10)] < 1.81914794336 ) | ( ( hex[,c(4)] >= 1.61659504006 )) ) on dataset cgd, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c(14)] != 1.4857298177 ) | ( hex[,c(10)] < 1.81914794336 ) | ( ( hex[,c(4)] >= 1.61659504006 )) ), c(11,10,13,12,15,14,1,3,2,4,7,6,9,8)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c(14)] != 1.4857298177 ) | ( hex[,c(10)] < 1.81914794336 ) | ( ( hex[,c(4)] >= 1.61659504006 )) ), c(5)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data cgd", complexFilterTest_cgd_183(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_cgd_204.R b/R/tests/testdir_autoGen/runit_complexFilterTest_cgd_204.R new file mode 100644 index 0000000000..c6238a91dd --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_cgd_204.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_cgd_204 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '<=', '&', '==', '|', '>', '&', '>=', '|', '!=']> ") + Log.info("Uploading cgd") + hex <- h2o.uploadFile(conn, "../../smalldata/logreg/umass_statdata/cgd.dat", "rcgd.hex") + Log.info("Performing compound task !( ( hex[,c(3)] <= 1.36482902509 ) & ( hex[,c(12)] == 115.218816402 ) | ( hex[,c(4)] > 1.24342927407 ) & ( hex[,c(10)] >= 1.20450895937 ) | ( ( hex[,c(12)] != 287.006756982 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c(3)] <= 1.36482902509 ) & ( hex[,c(12)] == 115.218816402 ) | ( hex[,c(4)] > 1.24342927407 ) & ( hex[,c(10)] >= 1.20450895937 ) | ( ( hex[,c(12)] != 287.006756982 )) ),] + Log.info("Performing compound task !( ( hex[,c(1)] <= 21890.8304916 ) & ( hex[,c(6)] == 103.186600217 ) | ( hex[,c(4)] > 1.99155219227 ) & ( hex[,c(5)] >= 7.78482820306 ) | ( ( hex[,c(8)] != 1.0115285557 )) ) on dataset cgd, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c(1)] <= 21890.8304916 ) & ( hex[,c(6)] == 103.186600217 ) | ( hex[,c(4)] > 1.99155219227 ) & ( hex[,c(5)] >= 7.78482820306 ) | ( ( hex[,c(8)] != 1.0115285557 )) ), c(11,10,13,12,15,14,1,3,2,5,4,7,6,9,8)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c(1)] <= 21890.8304916 ) & ( hex[,c(6)] == 103.186600217 ) | ( hex[,c(4)] > 1.99155219227 ) & ( hex[,c(5)] >= 7.78482820306 ) | ( ( hex[,c(8)] != 1.0115285557 )) ), c(1)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data cgd", complexFilterTest_cgd_204(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_chdage_136.R b/R/tests/testdir_autoGen/runit_complexFilterTest_chdage_136.R new file mode 100644 index 0000000000..9333cfd0e4 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_chdage_136.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_chdage_136 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>=']> ") + Log.info("Uploading chdage") + hex <- h2o.uploadFile(conn, "../../smalldata/logreg/umass_statdata/chdage.dat", "rchdage.hex") + Log.info("Performing compound task !( ( ( hex[,c(\"AGE\")] >= 28.1848733875 )) ) on dataset ") + filterHex <- hex[!( ( ( hex[,c("AGE")] >= 28.1848733875 )) ),] + Log.info("Performing compound task !( ( ( hex[,c(\"ID\")] >= 2.00707356929 )) ) on dataset chdage, and also subsetting columns.") + filterHex <- hex[!( ( ( hex[,c("ID")] >= 2.00707356929 )) ), c("ID","AGE")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( ( hex[,c("ID")] >= 2.00707356929 )) ), c("CHD")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data chdage", complexFilterTest_chdage_136(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_chess_2x2_500_int_181.R b/R/tests/testdir_autoGen/runit_complexFilterTest_chess_2x2_500_int_181.R new file mode 100644 index 0000000000..ca49213446 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_chess_2x2_500_int_181.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_chess_2x2_500_int_181 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '!=', '|', '<', '|', '>=']> ") + Log.info("Uploading chess_2x2_500_int") + hex <- h2o.uploadFile(conn, "../../smalldata/chess/chess_2x2x500/h2o/chess_2x2_500_int.csv", "rchess_2x2_500_int.hex") + Log.info("Performing compound task !( ( hex[,c(\"x\")] != 1809876.32296 ) | ( hex[,c(\"x\")] < 478366.055035 ) | ( ( hex[,c(\"y\")] >= 619613.784968 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c("x")] != 1809876.32296 ) | ( hex[,c("x")] < 478366.055035 ) | ( ( hex[,c("y")] >= 619613.784968 )) ),] + Log.info("Performing compound task !( ( hex[,c(\"x\")] != 598471.389603 ) | ( hex[,c(\"x\")] < 1093266.39636 ) | ( ( hex[,c(\"y\")] >= 1197275.03145 )) ) on dataset chess_2x2_500_int, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("x")] != 598471.389603 ) | ( hex[,c("x")] < 1093266.39636 ) | ( ( hex[,c("y")] >= 1197275.03145 )) ), c("x","y")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("x")] != 598471.389603 ) | ( hex[,c("x")] < 1093266.39636 ) | ( ( hex[,c("y")] >= 1197275.03145 )) ), c("color")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data chess_2x2_500_int", complexFilterTest_chess_2x2_500_int_181(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_chess_test_172.R b/R/tests/testdir_autoGen/runit_complexFilterTest_chess_test_172.R new file mode 100644 index 0000000000..dd0e6535e3 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_chess_test_172.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_chess_test_172 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>', '&', '<=', '&', '!|', '!', '==']> ") + Log.info("Uploading chess_test") + hex <- h2o.uploadFile(conn, "../../smalldata/test/classifier/chess_test.csv", "rchess_test.hex") + Log.info("Performing compound task !( ( hex[,c(\"y\")] > 0.126103818679 ) & ( hex[,c(\"x\")] <= 0.476413330495 ) & ( hex[,c(\"x\")] !| 0.18283707547 ) ! ( hex[,c(\"x\")] == 0.369983491173 )) on dataset ") + filterHex <- hex[!( ( hex[,c("y")] > 0.126103818679 ) & ( hex[,c("x")] <= 0.476413330495 ) & ( hex[,c("x")] !| 0.18283707547 ) ! ( hex[,c("x")] == 0.369983491173 )),] + Log.info("Performing compound task !( ( hex[,c(\"y\")] > 0.315693507433 ) & ( hex[,c(\"x\")] <= 0.971792292757 ) & ( hex[,c(\"y\")] !| 0.268669480355 ) ! ( hex[,c(\"y\")] == 0.978661237201 )) on dataset chess_test, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("y")] > 0.315693507433 ) & ( hex[,c("x")] <= 0.971792292757 ) & ( hex[,c("y")] !| 0.268669480355 ) ! ( hex[,c("y")] == 0.978661237201 )), c("x","y")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("y")] > 0.315693507433 ) & ( hex[,c("x")] <= 0.971792292757 ) & ( hex[,c("y")] !| 0.268669480355 ) ! ( hex[,c("y")] == 0.978661237201 )), c("color")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data chess_test", complexFilterTest_chess_test_172(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_constantColumn_161.R b/R/tests/testdir_autoGen/runit_complexFilterTest_constantColumn_161.R new file mode 100644 index 0000000000..7539e91d43 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_constantColumn_161.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_constantColumn_161 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>', '&', '<=', '&', '!|', '!', '==']> ") + Log.info("Uploading constantColumn") + hex <- h2o.uploadFile(conn, "../../smalldata/constantColumn.csv", "rconstantColumn.hex") + Log.info("Performing compound task !( ( hex[,c(\"konstant\")] > 0.1 ) & ( hex[,c(\"konstant\")] <= 0.1 ) & ( hex[,c(\"konstant\")] !| 0.1 ) ! ( hex[,c(\"konstant\")] == 0.1 )) on dataset ") + filterHex <- hex[!( ( hex[,c("konstant")] > 0.1 ) & ( hex[,c("konstant")] <= 0.1 ) & ( hex[,c("konstant")] !| 0.1 ) ! ( hex[,c("konstant")] == 0.1 )),] + Log.info("Performing compound task !( ( hex[,c(\"konstant\")] > 0.1 ) & ( hex[,c(\"konstant\")] <= 0.1 ) & ( hex[,c(\"konstant\")] !| 0.1 ) ! ( hex[,c(\"konstant\")] == 0.1 )) on dataset constantColumn, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("konstant")] > 0.1 ) & ( hex[,c("konstant")] <= 0.1 ) & ( hex[,c("konstant")] !| 0.1 ) ! ( hex[,c("konstant")] == 0.1 )), c("konstant")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("konstant")] > 0.1 ) & ( hex[,c("konstant")] <= 0.1 ) & ( hex[,c("konstant")] !| 0.1 ) ! ( hex[,c("konstant")] == 0.1 )), c(1)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data constantColumn", complexFilterTest_constantColumn_161(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_copen_179.R b/R/tests/testdir_autoGen/runit_complexFilterTest_copen_179.R new file mode 100644 index 0000000000..1fe52a65b2 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_copen_179.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_copen_179 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '!=', '|', '<', '|', '>=']> ") + Log.info("Uploading copen") + hex <- h2o.uploadFile(conn, "../../smalldata/logreg/princeton/copen.dat", "rcopen.hex") + Log.info("Performing compound task !( ( hex[,c(\"n\")] != 4.12902971205 ) | ( hex[,c(\"n\")] < 30.8154279998 ) | ( ( hex[,c(\"n\")] >= 39.7748700381 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c("n")] != 4.12902971205 ) | ( hex[,c("n")] < 30.8154279998 ) | ( ( hex[,c("n")] >= 39.7748700381 )) ),] + Log.info("Performing compound task !( ( hex[,c(\"n\")] != 64.3060306222 ) | ( hex[,c(\"n\")] < 41.9878462137 ) | ( ( hex[,c(\"n\")] >= 22.8071163653 )) ) on dataset copen, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("n")] != 64.3060306222 ) | ( hex[,c("n")] < 41.9878462137 ) | ( ( hex[,c("n")] >= 22.8071163653 )) ), c("n")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("n")] != 64.3060306222 ) | ( hex[,c("n")] < 41.9878462137 ) | ( ( hex[,c("n")] >= 22.8071163653 )) ), c("influence","housing","contact","satisfaction")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data copen", complexFilterTest_copen_179(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_cuse_149.R b/R/tests/testdir_autoGen/runit_complexFilterTest_cuse_149.R new file mode 100644 index 0000000000..3db4bfc5c5 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_cuse_149.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_cuse_149 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>=']> ") + Log.info("Uploading cuse") + hex <- h2o.uploadFile(conn, "../../smalldata/logreg/princeton/cuse.dat", "rcuse.hex") + Log.info("Performing compound task !( ( ( hex[,c(\"notUsing\")] >= 123.189396505 )) ) on dataset ") + filterHex <- hex[!( ( ( hex[,c("notUsing")] >= 123.189396505 )) ),] + Log.info("Performing compound task !( ( ( hex[,c(\"using\")] >= 27.9302386245 )) ) on dataset cuse, and also subsetting columns.") + filterHex <- hex[!( ( ( hex[,c("using")] >= 27.9302386245 )) ), c("notUsing","using")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( ( hex[,c("using")] >= 27.9302386245 )) ), c("wantsMore","education","age")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data cuse", complexFilterTest_cuse_149(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_datagen1_184.R b/R/tests/testdir_autoGen/runit_complexFilterTest_datagen1_184.R new file mode 100644 index 0000000000..02b55645ad --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_datagen1_184.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_datagen1_184 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '!=', '|', '<', '|', '>=']> ") + Log.info("Uploading datagen1") + hex <- h2o.uploadFile(conn, "../../smalldata/datagen1.csv", "rdatagen1.hex") + Log.info("Performing compound task !( ( hex[,c(1)] != 975.014739968 ) | ( hex[,c(1)] < 872.537666253 ) | ( ( hex[,c(1)] >= 727.298374469 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c(1)] != 975.014739968 ) | ( hex[,c(1)] < 872.537666253 ) | ( ( hex[,c(1)] >= 727.298374469 )) ),] + Log.info("Performing compound task !( ( hex[,c(1)] != 668.521913097 ) | ( hex[,c(1)] < 815.079358493 ) | ( ( hex[,c(1)] >= 203.237616878 )) ) on dataset datagen1, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c(1)] != 668.521913097 ) | ( hex[,c(1)] < 815.079358493 ) | ( ( hex[,c(1)] >= 203.237616878 )) ), c(1)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c(1)] != 668.521913097 ) | ( hex[,c(1)] < 815.079358493 ) | ( ( hex[,c(1)] >= 203.237616878 )) ), c(1,3,2,5,4,7,6)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data datagen1", complexFilterTest_datagen1_184(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_dd_mon_yr_143.R b/R/tests/testdir_autoGen/runit_complexFilterTest_dd_mon_yr_143.R new file mode 100644 index 0000000000..d5ceede19a --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_dd_mon_yr_143.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_dd_mon_yr_143 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>=']> ") + Log.info("Uploading dd-mon-yr") + hex <- h2o.uploadFile(conn, "../../smalldata/datetime/dd-mon-yr.csv", "rdd-mon-yr.hex") + Log.info("Performing compound task !( ( ( hex[,c(1)] >= 1.35166847918e+12 )) ) on dataset ") + filterHex <- hex[!( ( ( hex[,c(1)] >= 1.35166847918e+12 )) ),] + Log.info("Performing compound task !( ( ( hex[,c(1)] >= 1.3516355455e+12 )) ) on dataset dd-mon-yr, and also subsetting columns.") + filterHex <- hex[!( ( ( hex[,c(1)] >= 1.3516355455e+12 )) ), c(1)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( ( hex[,c(1)] >= 1.3516355455e+12 )) ), c(1)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data dd-mon-yr", complexFilterTest_dd_mon_yr_143(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_dd_mon_yr_177.R b/R/tests/testdir_autoGen/runit_complexFilterTest_dd_mon_yr_177.R new file mode 100644 index 0000000000..2e3442171c --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_dd_mon_yr_177.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_dd_mon_yr_177 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '!=', '|', '<', '|', '>=']> ") + Log.info("Uploading dd-mon-yr") + hex <- h2o.uploadFile(conn, "../../smalldata/datetime/dd-mon-yr.csv", "rdd-mon-yr.hex") + Log.info("Performing compound task !( ( hex[,c(1)] != 1.35164938265e+12 ) | ( hex[,c(1)] < 1.3517138615e+12 ) | ( ( hex[,c(1)] >= 1.3514936896e+12 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c(1)] != 1.35164938265e+12 ) | ( hex[,c(1)] < 1.3517138615e+12 ) | ( ( hex[,c(1)] >= 1.3514936896e+12 )) ),] + Log.info("Performing compound task !( ( hex[,c(1)] != 1.35163244288e+12 ) | ( hex[,c(1)] < 1.35162344817e+12 ) | ( ( hex[,c(1)] >= 1.35163645371e+12 )) ) on dataset dd-mon-yr, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c(1)] != 1.35163244288e+12 ) | ( hex[,c(1)] < 1.35162344817e+12 ) | ( ( hex[,c(1)] >= 1.35163645371e+12 )) ), c(1)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c(1)] != 1.35163244288e+12 ) | ( hex[,c(1)] < 1.35162344817e+12 ) | ( ( hex[,c(1)] >= 1.35163645371e+12 )) ), c(1)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data dd-mon-yr", complexFilterTest_dd_mon_yr_177(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_iris22_198.R b/R/tests/testdir_autoGen/runit_complexFilterTest_iris22_198.R new file mode 100644 index 0000000000..6a25dbef82 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_iris22_198.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_iris22_198 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '<=', '&', '==', '|', '>', '&', '>=', '|', '!=']> ") + Log.info("Uploading iris22") + hex <- h2o.uploadFile(conn, "../../smalldata/iris/iris22.csv", "riris22.hex") + Log.info("Performing compound task !( ( hex[,c(\"petal_wid\")] <= 2.07249200896 ) & ( hex[,c(\"sepal_wid\")] == 4.39538906002 ) | ( hex[,c(\"petal_wid\")] > 0.555596882062 ) & ( hex[,c(\"petal_wid\")] >= 1.01983737475 ) | ( ( hex[,c(\"sepal_wid\")] != 4.39215488791 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c("petal_wid")] <= 2.07249200896 ) & ( hex[,c("sepal_wid")] == 4.39538906002 ) | ( hex[,c("petal_wid")] > 0.555596882062 ) & ( hex[,c("petal_wid")] >= 1.01983737475 ) | ( ( hex[,c("sepal_wid")] != 4.39215488791 )) ),] + Log.info("Performing compound task !( ( hex[,c(\"sepal_wid\")] <= 3.39848057959 ) & ( hex[,c(\"sepal_wid\")] == 3.74691745791 ) | ( hex[,c(\"petal_wid\")] > 0.871984601561 ) & ( hex[,c(\"sepal_wid\")] >= 3.91664739746 ) | ( ( hex[,c(\"petal_wid\")] != 1.41334226399 )) ) on dataset iris22, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("sepal_wid")] <= 3.39848057959 ) & ( hex[,c("sepal_wid")] == 3.74691745791 ) | ( hex[,c("petal_wid")] > 0.871984601561 ) & ( hex[,c("sepal_wid")] >= 3.91664739746 ) | ( ( hex[,c("petal_wid")] != 1.41334226399 )) ), c("petal_wid","sepal_wid","petal_len","sepal_len")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("sepal_wid")] <= 3.39848057959 ) & ( hex[,c("sepal_wid")] == 3.74691745791 ) | ( hex[,c("petal_wid")] > 0.871984601561 ) & ( hex[,c("sepal_wid")] >= 3.91664739746 ) | ( ( hex[,c("petal_wid")] != 1.41334226399 )) ), c("class","class2")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data iris22", complexFilterTest_iris22_198(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_iris2_139.R b/R/tests/testdir_autoGen/runit_complexFilterTest_iris2_139.R new file mode 100644 index 0000000000..18fd8a7e38 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_iris2_139.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_iris2_139 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>=']> ") + Log.info("Uploading iris2") + hex <- h2o.uploadFile(conn, "../../smalldata/iris/iris2.csv", "riris2.hex") + Log.info("Performing compound task !( ( ( hex[,c(\"Sepal.Length\")] >= 6.50307468941 )) ) on dataset ") + filterHex <- hex[!( ( ( hex[,c("Sepal.Length")] >= 6.50307468941 )) ),] + Log.info("Performing compound task !( ( ( hex[,c(\"Sepal.Length\")] >= 4.6261079096 )) ) on dataset iris2, and also subsetting columns.") + filterHex <- hex[!( ( ( hex[,c("Sepal.Length")] >= 4.6261079096 )) ), c("Petal.Length","Sepal.Width","Petal.Width","Sepal.Length")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( ( hex[,c("Sepal.Length")] >= 4.6261079096 )) ), c("response")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data iris2", complexFilterTest_iris2_139(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_iris_test_extra_199.R b/R/tests/testdir_autoGen/runit_complexFilterTest_iris_test_extra_199.R new file mode 100644 index 0000000000..ab18761ed9 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_iris_test_extra_199.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_iris_test_extra_199 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '<=', '&', '==', '|', '>', '&', '>=', '|', '!=']> ") + Log.info("Uploading iris_test_extra") + hex <- h2o.uploadFile(conn, "../../smalldata/test/classifier/iris_test_extra.csv", "riris_test_extra.hex") + Log.info("Performing compound task !( ( hex[,c(\"sepal_wid\")] <= 4.04861694062 ) & ( hex[,c(\"sepal_wid\")] == 3.01312608744 ) | ( hex[,c(\"petal_wid\")] > 2.45145600985 ) & ( hex[,c(\"petal_len\")] >= 4.41299077143 ) | ( ( hex[,c(\"petal_len\")] != 6.82753231751 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c("sepal_wid")] <= 4.04861694062 ) & ( hex[,c("sepal_wid")] == 3.01312608744 ) | ( hex[,c("petal_wid")] > 2.45145600985 ) & ( hex[,c("petal_len")] >= 4.41299077143 ) | ( ( hex[,c("petal_len")] != 6.82753231751 )) ),] + Log.info("Performing compound task !( ( hex[,c(\"petal_wid\")] <= 0.612305955957 ) & ( hex[,c(\"sepal_len\")] == 6.47683917672 ) | ( hex[,c(\"petal_len\")] > 5.1160810748 ) & ( hex[,c(\"sepal_len\")] >= 7.34417496829 ) | ( ( hex[,c(\"sepal_len\")] != 4.57567883533 )) ) on dataset iris_test_extra, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("petal_wid")] <= 0.612305955957 ) & ( hex[,c("sepal_len")] == 6.47683917672 ) | ( hex[,c("petal_len")] > 5.1160810748 ) & ( hex[,c("sepal_len")] >= 7.34417496829 ) | ( ( hex[,c("sepal_len")] != 4.57567883533 )) ), c("petal_wid","sepal_wid","petal_len","sepal_len")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("petal_wid")] <= 0.612305955957 ) & ( hex[,c("sepal_len")] == 6.47683917672 ) | ( hex[,c("petal_len")] > 5.1160810748 ) & ( hex[,c("sepal_len")] >= 7.34417496829 ) | ( ( hex[,c("sepal_len")] != 4.57567883533 )) ), c("species")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data iris_test_extra", complexFilterTest_iris_test_extra_199(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_iris_test_extra_with_na_160.R b/R/tests/testdir_autoGen/runit_complexFilterTest_iris_test_extra_with_na_160.R new file mode 100644 index 0000000000..a0d6ab96f0 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_iris_test_extra_with_na_160.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_iris_test_extra_with_na_160 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>', '&', '<=', '&', '!|', '!', '==']> ") + Log.info("Uploading iris_test_extra_with_na") + hex <- h2o.uploadFile(conn, "../../smalldata/test/classifier/iris_test_extra_with_na.csv", "riris_test_extra_with_na.hex") + Log.info("Performing compound task !( ( hex[,c(2)] > 1.74891340983 ) & ( hex[,c(1)] <= 6.31365977001 ) & ( hex[,c(1)] !| 4.48374907497 ) ! ( hex[,c(2)] == 5.45194844707 )) on dataset ") + filterHex <- hex[!( ( hex[,c(2)] > 1.74891340983 ) & ( hex[,c(1)] <= 6.31365977001 ) & ( hex[,c(1)] !| 4.48374907497 ) ! ( hex[,c(2)] == 5.45194844707 )),] + Log.info("Performing compound task !( ( hex[,c(2)] > 4.79619255748 ) & ( hex[,c(2)] <= 4.17280236924 ) & ( hex[,c(3)] !| 0.975221634353 ) ! ( hex[,c(3)] == 2.11166659853 )) on dataset iris_test_extra_with_na, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c(2)] > 4.79619255748 ) & ( hex[,c(2)] <= 4.17280236924 ) & ( hex[,c(3)] !| 0.975221634353 ) ! ( hex[,c(3)] == 2.11166659853 )), c(1,3,2)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c(2)] > 4.79619255748 ) & ( hex[,c(2)] <= 4.17280236924 ) & ( hex[,c(3)] !| 0.975221634353 ) ! ( hex[,c(3)] == 2.11166659853 )), c(4)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data iris_test_extra_with_na", complexFilterTest_iris_test_extra_with_na_160(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_iris_test_missing_extra_197.R b/R/tests/testdir_autoGen/runit_complexFilterTest_iris_test_missing_extra_197.R new file mode 100644 index 0000000000..ea22204548 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_iris_test_missing_extra_197.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_iris_test_missing_extra_197 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '<=', '&', '==', '|', '>', '&', '>=', '|', '!=']> ") + Log.info("Uploading iris_test_missing_extra") + hex <- h2o.uploadFile(conn, "../../smalldata/test/classifier/iris_test_missing_extra.csv", "riris_test_missing_extra.hex") + Log.info("Performing compound task !( ( hex[,c(\"sepal_len\")] <= 5.97372262618 ) & ( hex[,c(\"petal_wid\")] == 1.13954832596 ) | ( hex[,c(\"sepal_wid\")] > 3.14902084581 ) & ( hex[,c(\"petal_wid\")] >= 1.50957407543 ) | ( ( hex[,c(\"petal_wid\")] != 1.78892532134 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c("sepal_len")] <= 5.97372262618 ) & ( hex[,c("petal_wid")] == 1.13954832596 ) | ( hex[,c("sepal_wid")] > 3.14902084581 ) & ( hex[,c("petal_wid")] >= 1.50957407543 ) | ( ( hex[,c("petal_wid")] != 1.78892532134 )) ),] + Log.info("Performing compound task !( ( hex[,c(\"petal_wid\")] <= 1.36778012704 ) & ( hex[,c(\"sepal_len\")] == 6.392365827 ) | ( hex[,c(\"petal_wid\")] > 1.68541437697 ) & ( hex[,c(\"sepal_wid\")] >= 3.15991907872 ) | ( ( hex[,c(\"petal_wid\")] != 1.08362895941 )) ) on dataset iris_test_missing_extra, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("petal_wid")] <= 1.36778012704 ) & ( hex[,c("sepal_len")] == 6.392365827 ) | ( hex[,c("petal_wid")] > 1.68541437697 ) & ( hex[,c("sepal_wid")] >= 3.15991907872 ) | ( ( hex[,c("petal_wid")] != 1.08362895941 )) ), c("petal_wid","sepal_wid","petal_len","sepal_len")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("petal_wid")] <= 1.36778012704 ) & ( hex[,c("sepal_len")] == 6.392365827 ) | ( hex[,c("petal_wid")] > 1.68541437697 ) & ( hex[,c("sepal_wid")] >= 3.15991907872 ) | ( ( hex[,c("petal_wid")] != 1.08362895941 )) ), c("species")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data iris_test_missing_extra", complexFilterTest_iris_test_missing_extra_197(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_iris_test_numeric_188.R b/R/tests/testdir_autoGen/runit_complexFilterTest_iris_test_numeric_188.R new file mode 100644 index 0000000000..7ee705eb9d --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_iris_test_numeric_188.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_iris_test_numeric_188 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '!=', '|', '<', '|', '>=']> ") + Log.info("Uploading iris_test_numeric") + hex <- h2o.uploadFile(conn, "../../smalldata/test/classifier/iris_test_numeric.csv", "riris_test_numeric.hex") + Log.info("Performing compound task !( ( hex[,c(\"species\")] != 0.589296448943 ) | ( hex[,c(\"species\")] < 0.875717621523 ) | ( ( hex[,c(\"sepal_len\")] >= 7.09428956521 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c("species")] != 0.589296448943 ) | ( hex[,c("species")] < 0.875717621523 ) | ( ( hex[,c("sepal_len")] >= 7.09428956521 )) ),] + Log.info("Performing compound task !( ( hex[,c(\"species\")] != 0.94927322809 ) | ( hex[,c(\"species\")] < 0.755247532489 ) | ( ( hex[,c(\"sepal_len\")] >= 4.65218015334 )) ) on dataset iris_test_numeric, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("species")] != 0.94927322809 ) | ( hex[,c("species")] < 0.755247532489 ) | ( ( hex[,c("sepal_len")] >= 4.65218015334 )) ), c("petal_wid","sepal_wid","petal_len","sepal_len","species")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("species")] != 0.94927322809 ) | ( hex[,c("species")] < 0.755247532489 ) | ( ( hex[,c("sepal_len")] >= 4.65218015334 )) ), c(1)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data iris_test_numeric", complexFilterTest_iris_test_numeric_188(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_iris_test_numeric_missing_171.R b/R/tests/testdir_autoGen/runit_complexFilterTest_iris_test_numeric_missing_171.R new file mode 100644 index 0000000000..4aad343a4c --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_iris_test_numeric_missing_171.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_iris_test_numeric_missing_171 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>', '&', '<=', '&', '!|', '!', '==']> ") + Log.info("Uploading iris_test_numeric_missing") + hex <- h2o.uploadFile(conn, "../../smalldata/test/classifier/iris_test_numeric_missing.csv", "riris_test_numeric_missing.hex") + Log.info("Performing compound task !( ( hex[,c(\"sepal_len\")] > 6.43145279717 ) & ( hex[,c(\"petal_len\")] <= 3.31021527615 ) & ( hex[,c(\"species\")] !| 1.0 ) ! ( hex[,c(\"sepal_len\")] == 6.06301097019 )) on dataset ") + filterHex <- hex[!( ( hex[,c("sepal_len")] > 6.43145279717 ) & ( hex[,c("petal_len")] <= 3.31021527615 ) & ( hex[,c("species")] !| 1.0 ) ! ( hex[,c("sepal_len")] == 6.06301097019 )),] + Log.info("Performing compound task !( ( hex[,c(\"petal_wid\")] > 1.51031508963 ) & ( hex[,c(\"petal_wid\")] <= 1.20335883475 ) & ( hex[,c(\"sepal_len\")] !| 5.73500387442 ) ! ( hex[,c(\"petal_wid\")] == 1.471312021 )) on dataset iris_test_numeric_missing, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("petal_wid")] > 1.51031508963 ) & ( hex[,c("petal_wid")] <= 1.20335883475 ) & ( hex[,c("sepal_len")] !| 5.73500387442 ) ! ( hex[,c("petal_wid")] == 1.471312021 )), c("petal_wid","sepal_wid","petal_len","sepal_len","species")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("petal_wid")] > 1.51031508963 ) & ( hex[,c("petal_wid")] <= 1.20335883475 ) & ( hex[,c("sepal_len")] !| 5.73500387442 ) ! ( hex[,c("petal_wid")] == 1.471312021 )), c(1)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data iris_test_numeric_missing", complexFilterTest_iris_test_numeric_missing_171(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_iris_test_numeric_missing_extra_182.R b/R/tests/testdir_autoGen/runit_complexFilterTest_iris_test_numeric_missing_extra_182.R new file mode 100644 index 0000000000..a6f80b9501 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_iris_test_numeric_missing_extra_182.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_iris_test_numeric_missing_extra_182 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '!=', '|', '<', '|', '>=']> ") + Log.info("Uploading iris_test_numeric_missing_extra") + hex <- h2o.uploadFile(conn, "../../smalldata/test/classifier/iris_test_numeric_missing_extra.csv", "riris_test_numeric_missing_extra.hex") + Log.info("Performing compound task !( ( hex[,c(\"sepal_len\")] != 5.62680052817 ) | ( hex[,c(\"petal_wid\")] < 1.30396620892 ) | ( ( hex[,c(\"sepal_wid\")] >= 2.53344427886 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c("sepal_len")] != 5.62680052817 ) | ( hex[,c("petal_wid")] < 1.30396620892 ) | ( ( hex[,c("sepal_wid")] >= 2.53344427886 )) ),] + Log.info("Performing compound task !( ( hex[,c(\"species\")] != 1.22382127284 ) | ( hex[,c(\"sepal_wid\")] < 2.20836669878 ) | ( ( hex[,c(\"petal_len\")] >= 3.61107457347 )) ) on dataset iris_test_numeric_missing_extra, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("species")] != 1.22382127284 ) | ( hex[,c("sepal_wid")] < 2.20836669878 ) | ( ( hex[,c("petal_len")] >= 3.61107457347 )) ), c("petal_wid","sepal_wid","petal_len","sepal_len","species")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("species")] != 1.22382127284 ) | ( hex[,c("sepal_wid")] < 2.20836669878 ) | ( ( hex[,c("petal_len")] >= 3.61107457347 )) ), c(1)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data iris_test_numeric_missing_extra", complexFilterTest_iris_test_numeric_missing_extra_182(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_iris_train_165.R b/R/tests/testdir_autoGen/runit_complexFilterTest_iris_train_165.R new file mode 100644 index 0000000000..b7184a2bf5 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_iris_train_165.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_iris_train_165 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>', '&', '<=', '&', '!|', '!', '==']> ") + Log.info("Uploading iris_train") + hex <- h2o.uploadFile(conn, "../../smalldata/test/classifier/iris_train.csv", "riris_train.hex") + Log.info("Performing compound task !( ( hex[,c(\"petal_len\")] > 4.22847389557 ) & ( hex[,c(\"sepal_len\")] <= 6.11650384171 ) & ( hex[,c(\"petal_len\")] !| 1.14371370399 ) ! ( hex[,c(\"petal_wid\")] == 0.276050749753 )) on dataset ") + filterHex <- hex[!( ( hex[,c("petal_len")] > 4.22847389557 ) & ( hex[,c("sepal_len")] <= 6.11650384171 ) & ( hex[,c("petal_len")] !| 1.14371370399 ) ! ( hex[,c("petal_wid")] == 0.276050749753 )),] + Log.info("Performing compound task !( ( hex[,c(\"sepal_wid\")] > 3.11664722677 ) & ( hex[,c(\"petal_len\")] <= 6.61694716713 ) & ( hex[,c(\"petal_len\")] !| 6.55658598577 ) ! ( hex[,c(\"petal_wid\")] == 2.09092523504 )) on dataset iris_train, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("sepal_wid")] > 3.11664722677 ) & ( hex[,c("petal_len")] <= 6.61694716713 ) & ( hex[,c("petal_len")] !| 6.55658598577 ) ! ( hex[,c("petal_wid")] == 2.09092523504 )), c("petal_wid","sepal_wid","petal_len","sepal_len")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("sepal_wid")] > 3.11664722677 ) & ( hex[,c("petal_len")] <= 6.61694716713 ) & ( hex[,c("petal_len")] !| 6.55658598577 ) ! ( hex[,c("petal_wid")] == 2.09092523504 )), c("species")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data iris_train", complexFilterTest_iris_train_165(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_iris_wheader_135.R b/R/tests/testdir_autoGen/runit_complexFilterTest_iris_wheader_135.R new file mode 100644 index 0000000000..f10536c44f --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_iris_wheader_135.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_iris_wheader_135 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>=']> ") + Log.info("Uploading iris_wheader") + hex <- h2o.uploadFile(conn, "../../smalldata/iris/iris_wheader.csv", "riris_wheader.hex") + Log.info("Performing compound task !( ( ( hex[,c(\"sepal_len\")] >= 5.91323252298 )) ) on dataset ") + filterHex <- hex[!( ( ( hex[,c("sepal_len")] >= 5.91323252298 )) ),] + Log.info("Performing compound task !( ( ( hex[,c(\"petal_len\")] >= 6.20927452403 )) ) on dataset iris_wheader, and also subsetting columns.") + filterHex <- hex[!( ( ( hex[,c("petal_len")] >= 6.20927452403 )) ), c("sepal_wid","petal_len")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( ( hex[,c("petal_len")] >= 6.20927452403 )) ), c("petal_wid","class","sepal_len")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data iris_wheader", complexFilterTest_iris_wheader_135(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_leads_169.R b/R/tests/testdir_autoGen/runit_complexFilterTest_leads_169.R new file mode 100644 index 0000000000..8328bffd3e --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_leads_169.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_leads_169 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>', '&', '<=', '&', '!|', '!', '==']> ") + Log.info("Uploading leads") + hex <- h2o.uploadFile(conn, "../../smalldata/iris/leads.csv", "rleads.hex") + Log.info("Performing compound task !( ( hex[,c(\"class\")] > 1.42247366339 ) & ( hex[,c(\"item_price\")] <= 3.7343473649 ) & ( hex[,c(\"frequent_customer\")] !| 6.85400018941 ) ! ( hex[,c(\"risk_idx\")] == 1.91271340711 )) on dataset ") + filterHex <- hex[!( ( hex[,c("class")] > 1.42247366339 ) & ( hex[,c("item_price")] <= 3.7343473649 ) & ( hex[,c("frequent_customer")] !| 6.85400018941 ) ! ( hex[,c("risk_idx")] == 1.91271340711 )),] + Log.info("Performing compound task !( ( hex[,c(\"frequent_customer\")] > 6.06039118611 ) & ( hex[,c(\"risk_idx\")] <= 0.793644809248 ) & ( hex[,c(\"risk_idx\")] !| 1.89341375427 ) ! ( hex[,c(\"frequent_customer\")] == 6.46364683448 )) on dataset leads, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("frequent_customer")] > 6.06039118611 ) & ( hex[,c("risk_idx")] <= 0.793644809248 ) & ( hex[,c("risk_idx")] !| 1.89341375427 ) ! ( hex[,c("frequent_customer")] == 6.46364683448 )), c("risk_idx","class","frequent_customer","desire_idx","item_price")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("frequent_customer")] > 6.06039118611 ) & ( hex[,c("risk_idx")] <= 0.793644809248 ) & ( hex[,c("risk_idx")] !| 1.89341375427 ) ! ( hex[,c("frequent_customer")] == 6.46364683448 )), c("date")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data leads", complexFilterTest_leads_169(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_lowbwtm11_138.R b/R/tests/testdir_autoGen/runit_complexFilterTest_lowbwtm11_138.R new file mode 100644 index 0000000000..8991ef79eb --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_lowbwtm11_138.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_lowbwtm11_138 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>=']> ") + Log.info("Uploading lowbwtm11") + hex <- h2o.uploadFile(conn, "../../smalldata/logreg/umass_statdata/lowbwtm11.dat", "rlowbwtm11.hex") + Log.info("Performing compound task !( ( ( hex[,c(\"UI\")] >= 0.0926078557473 )) ) on dataset ") + filterHex <- hex[!( ( ( hex[,c("UI")] >= 0.0926078557473 )) ),] + Log.info("Performing compound task !( ( ( hex[,c(\"PTD\")] >= 0.0297932665792 )) ) on dataset lowbwtm11, and also subsetting columns.") + filterHex <- hex[!( ( ( hex[,c("PTD")] >= 0.0297932665792 )) ), c("SMOKE","LOW","PTD","UI","Pair#","HT","AGE")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( ( hex[,c("PTD")] >= 0.0297932665792 )) ), c("LWT","RACE")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data lowbwtm11", complexFilterTest_lowbwtm11_138(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_make_me_converge_10000x5_185.R b/R/tests/testdir_autoGen/runit_complexFilterTest_make_me_converge_10000x5_185.R new file mode 100644 index 0000000000..c2988c071a --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_make_me_converge_10000x5_185.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_make_me_converge_10000x5_185 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '!=', '|', '<', '|', '>=']> ") + Log.info("Uploading make_me_converge_10000x5") + hex <- h2o.uploadFile(conn, "../../smalldata/logreg/make_me_converge_10000x5.csv", "rmake_me_converge_10000x5.hex") + Log.info("Performing compound task !( ( hex[,c(1)] != 0.973704551314 ) | ( hex[,c(1)] < 0.414261658949 ) | ( ( hex[,c(2)] >= 0.99394490761 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c(1)] != 0.973704551314 ) | ( hex[,c(1)] < 0.414261658949 ) | ( ( hex[,c(2)] >= 0.99394490761 )) ),] + Log.info("Performing compound task !( ( hex[,c(3)] != 0.365233910775 ) | ( hex[,c(5)] < 0.95880289338 ) | ( ( hex[,c(2)] >= 0.468257256221 )) ) on dataset make_me_converge_10000x5, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c(3)] != 0.365233910775 ) | ( hex[,c(5)] < 0.95880289338 ) | ( ( hex[,c(2)] >= 0.468257256221 )) ), c(1,3,2,5,4)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c(3)] != 0.365233910775 ) | ( hex[,c(5)] < 0.95880289338 ) | ( ( hex[,c(2)] >= 0.468257256221 )) ), c(1)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data make_me_converge_10000x5", complexFilterTest_make_me_converge_10000x5_185(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_meexp_168.R b/R/tests/testdir_autoGen/runit_complexFilterTest_meexp_168.R new file mode 100644 index 0000000000..dcbb93da61 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_meexp_168.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_meexp_168 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>', '&', '<=', '&', '!|', '!', '==']> ") + Log.info("Uploading meexp") + hex <- h2o.uploadFile(conn, "../../smalldata/logreg/umass_statdata/meexp.dat", "rmeexp.hex") + Log.info("Performing compound task !( ( hex[,c(2)] > 2.08502099111 ) & ( hex[,c(1)] <= 21.4297772906 ) & ( hex[,c(2)] !| 2.1430013054 ) ! ( hex[,c(6)] == 1.12907955933 )) on dataset ") + filterHex <- hex[!( ( hex[,c(2)] > 2.08502099111 ) & ( hex[,c(1)] <= 21.4297772906 ) & ( hex[,c(2)] !| 2.1430013054 ) ! ( hex[,c(6)] == 1.12907955933 )),] + Log.info("Performing compound task !( ( hex[,c(1)] > 1.67657398197 ) & ( hex[,c(5)] <= 0.526819306244 ) & ( hex[,c(5)] !| 0.37902186533 ) ! ( hex[,c(1)] == 215.927692999 )) on dataset meexp, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c(1)] > 1.67657398197 ) & ( hex[,c(5)] <= 0.526819306244 ) & ( hex[,c(5)] !| 0.37902186533 ) ! ( hex[,c(1)] == 215.927692999 )), c(1,3,2,5,4,6)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c(1)] > 1.67657398197 ) & ( hex[,c(5)] <= 0.526819306244 ) & ( hex[,c(5)] !| 0.37902186533 ) ! ( hex[,c(1)] == 215.927692999 )), c(1)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data meexp", complexFilterTest_meexp_168(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_nhanes3_174.R b/R/tests/testdir_autoGen/runit_complexFilterTest_nhanes3_174.R new file mode 100644 index 0000000000..e84d1c3de2 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_nhanes3_174.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_nhanes3_174 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '!=', '|', '<', '|', '>=']> ") + Log.info("Uploading nhanes3") + hex <- h2o.uploadFile(conn, "../../smalldata/logreg/umass_statdata/nhanes3.dat", "rnhanes3.hex") + Log.info("Performing compound task !( ( hex[,c(4)] != 88.4289634757 ) | ( hex[,c(1)] < 25448.0273932 ) | ( ( hex[,c(15)] >= 0.912563208122 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c(4)] != 88.4289634757 ) | ( hex[,c(1)] < 25448.0273932 ) | ( ( hex[,c(15)] >= 0.912563208122 )) ),] + Log.info("Performing compound task !( ( hex[,c(14)] != 150.07058842 ) | ( hex[,c(3)] < 71433.1864898 ) | ( ( hex[,c(6)] >= 1.33053839388 )) ) on dataset nhanes3, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c(14)] != 150.07058842 ) | ( hex[,c(3)] < 71433.1864898 ) | ( ( hex[,c(6)] >= 1.33053839388 )) ), c(3,12,14,6)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c(14)] != 150.07058842 ) | ( hex[,c(3)] < 71433.1864898 ) | ( ( hex[,c(6)] >= 1.33053839388 )) ), c(11,10,13,15,1,2,5,4,7,9,8)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data nhanes3", complexFilterTest_nhanes3_174(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_pbc_210.R b/R/tests/testdir_autoGen/runit_complexFilterTest_pbc_210.R new file mode 100644 index 0000000000..d18154b2c1 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_pbc_210.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_pbc_210 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '<=', '&', '==', '|', '>', '&', '>=', '|', '!=']> ") + Log.info("Uploading pbc") + hex <- h2o.uploadFile(conn, "../../smalldata/logreg/umass_statdata/pbc.dat", "rpbc.hex") + Log.info("Performing compound task !( ( hex[,c(6)] <= 0.75549539349 ) & ( hex[,c(10)] == 24.8087492828 ) | ( hex[,c(15)] > 79.9676547859 ) & ( hex[,c(1)] >= 258.515018671 ) | ( ( hex[,c(18)] != 3.17526400619 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c(6)] <= 0.75549539349 ) & ( hex[,c(10)] == 24.8087492828 ) | ( hex[,c(15)] > 79.9676547859 ) & ( hex[,c(1)] >= 258.515018671 ) | ( ( hex[,c(18)] != 3.17526400619 )) ),] + Log.info("Performing compound task !( ( hex[,c(12)] <= 3.59532971696 ) & ( hex[,c(15)] == 158.633513644 ) | ( hex[,c(1)] > 367.590019386 ) & ( hex[,c(1)] >= 286.150849139 ) | ( ( hex[,c(5)] != 0.0471269824733 )) ) on dataset pbc, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c(12)] <= 3.59532971696 ) & ( hex[,c(15)] == 158.633513644 ) | ( hex[,c(1)] > 367.590019386 ) & ( hex[,c(1)] >= 286.150849139 ) | ( ( hex[,c(5)] != 0.0471269824733 )) ), c(11,10,13,12,15,14,17,16,19,18,1,3,2,5,4,7,6,9,8)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c(12)] <= 3.59532971696 ) & ( hex[,c(15)] == 158.633513644 ) | ( hex[,c(1)] > 367.590019386 ) & ( hex[,c(1)] >= 286.150849139 ) | ( ( hex[,c(5)] != 0.0471269824733 )) ), c(1)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data pbc", complexFilterTest_pbc_210(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_pharynx_192.R b/R/tests/testdir_autoGen/runit_complexFilterTest_pharynx_192.R new file mode 100644 index 0000000000..12ef99db46 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_pharynx_192.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_pharynx_192 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '<=', '&', '==', '|', '>', '&', '>=', '|', '!=']> ") + Log.info("Uploading pharynx") + hex <- h2o.uploadFile(conn, "../../smalldata/logreg/umass_statdata/pharynx.dat", "rpharynx.hex") + Log.info("Performing compound task !( ( hex[,c(10)] <= 28125.955505 ) & ( hex[,c(6)] == 7.26213082936 ) | ( hex[,c(7)] > 1.22441777035 ) & ( hex[,c(3)] >= 1.35078349404 ) | ( ( hex[,c(12)] != 1191.45215708 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c(10)] <= 28125.955505 ) & ( hex[,c(6)] == 7.26213082936 ) | ( hex[,c(7)] > 1.22441777035 ) & ( hex[,c(3)] >= 1.35078349404 ) | ( ( hex[,c(12)] != 1191.45215708 )) ),] + Log.info("Performing compound task !( ( hex[,c(11)] <= 0.913147534957 ) & ( hex[,c(12)] == 398.596026231 ) | ( hex[,c(6)] > 3.80180178996 ) & ( hex[,c(4)] >= 6.87708462489 ) | ( ( hex[,c(9)] != 0.593361669328 )) ) on dataset pharynx, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c(11)] <= 0.913147534957 ) & ( hex[,c(12)] == 398.596026231 ) | ( hex[,c(6)] > 3.80180178996 ) & ( hex[,c(4)] >= 6.87708462489 ) | ( ( hex[,c(9)] != 0.593361669328 )) ), c(11,9,12,4,6)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c(11)] <= 0.913147534957 ) & ( hex[,c(12)] == 398.596026231 ) | ( hex[,c(6)] > 3.80180178996 ) & ( hex[,c(4)] >= 6.87708462489 ) | ( ( hex[,c(9)] != 0.593361669328 )) ), c(10,1,3,2,5,7,8)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data pharynx", complexFilterTest_pharynx_192(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_poisson_tst1_166.R b/R/tests/testdir_autoGen/runit_complexFilterTest_poisson_tst1_166.R new file mode 100644 index 0000000000..7be362f453 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_poisson_tst1_166.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_poisson_tst1_166 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>', '&', '<=', '&', '!|', '!', '==']> ") + Log.info("Uploading poisson_tst1") + hex <- h2o.uploadFile(conn, "../../smalldata/glm_test/poisson_tst1.csv", "rpoisson_tst1.hex") + Log.info("Performing compound task !( ( hex[,c(\"math\")] > 53.6369639367 ) & ( hex[,c(\"num_awards\")] <= 1.75758873517 ) & ( hex[,c(\"math\")] !| 58.3430374559 ) ! ( hex[,c(\"id\")] == 51.5764868495 )) on dataset ") + filterHex <- hex[!( ( hex[,c("math")] > 53.6369639367 ) & ( hex[,c("num_awards")] <= 1.75758873517 ) & ( hex[,c("math")] !| 58.3430374559 ) ! ( hex[,c("id")] == 51.5764868495 )),] + Log.info("Performing compound task !( ( hex[,c(\"id\")] > 124.719980709 ) & ( hex[,c(\"math\")] <= 70.9556707539 ) & ( hex[,c(\"num_awards\")] !| 5.74400920882 ) ! ( hex[,c(\"num_awards\")] == 2.55902627934 )) on dataset poisson_tst1, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("id")] > 124.719980709 ) & ( hex[,c("math")] <= 70.9556707539 ) & ( hex[,c("num_awards")] !| 5.74400920882 ) ! ( hex[,c("num_awards")] == 2.55902627934 )), c("math","id","num_awards")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("id")] > 124.719980709 ) & ( hex[,c("math")] <= 70.9556707539 ) & ( hex[,c("num_awards")] !| 5.74400920882 ) ! ( hex[,c("num_awards")] == 2.55902627934 )), c("prog")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data poisson_tst1", complexFilterTest_poisson_tst1_166(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_poker_hand_testing_175.R b/R/tests/testdir_autoGen/runit_complexFilterTest_poker_hand_testing_175.R new file mode 100644 index 0000000000..b3a6f2e121 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_poker_hand_testing_175.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_poker_hand_testing_175 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '!=', '|', '<', '|', '>=']> ") + Log.info("Uploading poker-hand-testing") + hex <- h2o.uploadFile(conn, "../../smalldata/poker/poker-hand-testing.data", "rpoker-hand-testing.hex") + Log.info("Performing compound task !( ( hex[,c(5)] != 4.91558583416 ) | ( hex[,c(7)] < 1.34896053145 ) | ( ( hex[,c(5)] >= 8.07942034148 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c(5)] != 4.91558583416 ) | ( hex[,c(7)] < 1.34896053145 ) | ( ( hex[,c(5)] >= 8.07942034148 )) ),] + Log.info("Performing compound task !( ( hex[,c(8)] != 3.15896214881 ) | ( hex[,c(9)] < 4.99735146292 ) | ( ( hex[,c(3)] >= 10.9270631849 )) ) on dataset poker-hand-testing, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c(8)] != 3.15896214881 ) | ( hex[,c(9)] < 4.99735146292 ) | ( ( hex[,c(3)] >= 10.9270631849 )) ), c(3,4,6,9,8)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c(8)] != 3.15896214881 ) | ( hex[,c(9)] < 4.99735146292 ) | ( ( hex[,c(3)] >= 10.9270631849 )) ), c(1,10,2,5,7)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data poker-hand-testing", complexFilterTest_poker_hand_testing_175(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_prostate_1_176.R b/R/tests/testdir_autoGen/runit_complexFilterTest_prostate_1_176.R new file mode 100644 index 0000000000..8c7c915549 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_prostate_1_176.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_prostate_1_176 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '!=', '|', '<', '|', '>=']> ") + Log.info("Uploading prostate_1") + hex <- h2o.uploadFile(conn, "../../smalldata/parse_folder_test/prostate_1.csv", "rprostate_1.hex") + Log.info("Performing compound task !( ( hex[,c(8)] != 8.33067841364 ) | ( hex[,c(1)] < 14.9502402946 ) | ( ( hex[,c(4)] >= 3.13977213132 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c(8)] != 8.33067841364 ) | ( hex[,c(1)] < 14.9502402946 ) | ( ( hex[,c(4)] >= 3.13977213132 )) ),] + Log.info("Performing compound task !( ( hex[,c(1)] != 17.4266701595 ) | ( hex[,c(4)] < 2.01404723652 ) | ( ( hex[,c(5)] >= 1.76727026652 )) ) on dataset prostate_1, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c(1)] != 17.4266701595 ) | ( hex[,c(4)] < 2.01404723652 ) | ( ( hex[,c(5)] >= 1.76727026652 )) ), c(1,5,4,7,6,8)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c(1)] != 17.4266701595 ) | ( hex[,c(4)] < 2.01404723652 ) | ( ( hex[,c(5)] >= 1.76727026652 )) ), c(3,2)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data prostate_1", complexFilterTest_prostate_1_176(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_prostate_4_147.R b/R/tests/testdir_autoGen/runit_complexFilterTest_prostate_4_147.R new file mode 100644 index 0000000000..75ec115266 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_prostate_4_147.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_prostate_4_147 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>=']> ") + Log.info("Uploading prostate_4") + hex <- h2o.uploadFile(conn, "../../smalldata/parse_folder_test/prostate_4.csv", "rprostate_4.hex") + Log.info("Performing compound task !( ( ( hex[,c(2)] >= 60.3707684951 )) ) on dataset ") + filterHex <- hex[!( ( ( hex[,c(2)] >= 60.3707684951 )) ),] + Log.info("Performing compound task !( ( ( hex[,c(5)] >= 1.83021046223 )) ) on dataset prostate_4, and also subsetting columns.") + filterHex <- hex[!( ( ( hex[,c(5)] >= 1.83021046223 )) ), c(1,2,5,4,7,6,8)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( ( hex[,c(5)] >= 1.83021046223 )) ), c(3)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data prostate_4", complexFilterTest_prostate_4_147(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_prostate_7_209.R b/R/tests/testdir_autoGen/runit_complexFilterTest_prostate_7_209.R new file mode 100644 index 0000000000..ac6b3a298d --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_prostate_7_209.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_prostate_7_209 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '<=', '&', '==', '|', '>', '&', '>=', '|', '!=']> ") + Log.info("Uploading prostate_7") + hex <- h2o.uploadFile(conn, "../../smalldata/parse_folder_test/prostate_7.csv", "rprostate_7.hex") + Log.info("Performing compound task !( ( hex[,c(8)] <= 5.7021815058 ) & ( hex[,c(4)] == 2.48117673999 ) | ( hex[,c(5)] > 1.81410777952 ) & ( hex[,c(1)] >= 0.0951083065844 ) | ( ( hex[,c(1)] != 234.102212461 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c(8)] <= 5.7021815058 ) & ( hex[,c(4)] == 2.48117673999 ) | ( hex[,c(5)] > 1.81410777952 ) & ( hex[,c(1)] >= 0.0951083065844 ) | ( ( hex[,c(1)] != 234.102212461 )) ),] + Log.info("Performing compound task !( ( hex[,c(1)] <= 0.156988933715 ) & ( hex[,c(2)] == 45.4587838293 ) | ( hex[,c(4)] > 3.74625057975 ) & ( hex[,c(8)] >= 5.19901118982 ) | ( ( hex[,c(7)] != 72.755688155 )) ) on dataset prostate_7, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c(1)] <= 0.156988933715 ) & ( hex[,c(2)] == 45.4587838293 ) | ( hex[,c(4)] > 3.74625057975 ) & ( hex[,c(8)] >= 5.19901118982 ) | ( ( hex[,c(7)] != 72.755688155 )) ), c(1,2,5,4,7,6,8)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c(1)] <= 0.156988933715 ) & ( hex[,c(2)] == 45.4587838293 ) | ( hex[,c(4)] > 3.74625057975 ) & ( hex[,c(8)] >= 5.19901118982 ) | ( ( hex[,c(7)] != 72.755688155 )) ), c(3)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data prostate_7", complexFilterTest_prostate_7_209(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_prostate_8_145.R b/R/tests/testdir_autoGen/runit_complexFilterTest_prostate_8_145.R new file mode 100644 index 0000000000..a305aefd4f --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_prostate_8_145.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_prostate_8_145 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>=']> ") + Log.info("Uploading prostate_8") + hex <- h2o.uploadFile(conn, "../../smalldata/parse_folder_test/prostate_8.csv", "rprostate_8.hex") + Log.info("Performing compound task !( ( ( hex[,c(8)] >= 6.97424682478 )) ) on dataset ") + filterHex <- hex[!( ( ( hex[,c(8)] >= 6.97424682478 )) ),] + Log.info("Performing compound task !( ( ( hex[,c(6)] >= 55.1518595822 )) ) on dataset prostate_8, and also subsetting columns.") + filterHex <- hex[!( ( ( hex[,c(6)] >= 55.1518595822 )) ), c(1,2,5,4,7,6,8)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( ( hex[,c(6)] >= 55.1518595822 )) ), c(3)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data prostate_8", complexFilterTest_prostate_8_145(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_prostate_cat_replaced_202.R b/R/tests/testdir_autoGen/runit_complexFilterTest_prostate_cat_replaced_202.R new file mode 100644 index 0000000000..078b77cbda --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_prostate_cat_replaced_202.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_prostate_cat_replaced_202 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '<=', '&', '==', '|', '>', '&', '>=', '|', '!=']> ") + Log.info("Uploading prostate_cat_replaced") + hex <- h2o.uploadFile(conn, "../../smalldata/glm_test/prostate_cat_replaced.csv", "rprostate_cat_replaced.hex") + Log.info("Performing compound task !( ( hex[,c(\"DCAPS\")] <= 1.23545359691 ) & ( hex[,c(\"AGE\")] == 56.2132223931 ) | ( hex[,c(\"PSA\")] > 55.3828750102 ) & ( hex[,c(\"DPROS\")] >= 1.53495830797 ) | ( ( hex[,c(\"DPROS\")] != 1.33507168777 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c("DCAPS")] <= 1.23545359691 ) & ( hex[,c("AGE")] == 56.2132223931 ) | ( hex[,c("PSA")] > 55.3828750102 ) & ( hex[,c("DPROS")] >= 1.53495830797 ) | ( ( hex[,c("DPROS")] != 1.33507168777 )) ),] + Log.info("Performing compound task !( ( hex[,c(\"GLEASON\")] <= 4.03506314397 ) & ( hex[,c(\"ID\")] == 249.894991571 ) | ( hex[,c(\"PSA\")] > 28.2330439153 ) & ( hex[,c(\"PSA\")] >= 59.8545302538 ) | ( ( hex[,c(\"AGE\")] != 73.1420828311 )) ) on dataset prostate_cat_replaced, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("GLEASON")] <= 4.03506314397 ) & ( hex[,c("ID")] == 249.894991571 ) | ( hex[,c("PSA")] > 28.2330439153 ) & ( hex[,c("PSA")] >= 59.8545302538 ) | ( ( hex[,c("AGE")] != 73.1420828311 )) ), c("ID","PSA","DCAPS","VOL","GLEASON","DPROS","CAPSULE","AGE")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("GLEASON")] <= 4.03506314397 ) & ( hex[,c("ID")] == 249.894991571 ) | ( hex[,c("PSA")] > 28.2330439153 ) & ( hex[,c("PSA")] >= 59.8545302538 ) | ( ( hex[,c("AGE")] != 73.1420828311 )) ), c("RACE")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data prostate_cat_replaced", complexFilterTest_prostate_cat_replaced_202(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_prostate_long_164.R b/R/tests/testdir_autoGen/runit_complexFilterTest_prostate_long_164.R new file mode 100644 index 0000000000..5785562bce --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_prostate_long_164.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_prostate_long_164 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>', '&', '<=', '&', '!|', '!', '==']> ") + Log.info("Uploading prostate_long") + hex <- h2o.uploadFile(conn, "../../smalldata/logreg/prostate_long.csv.gz", "rprostate_long.hex") + Log.info("Performing compound task !( ( hex[,c(\"AGE\")] > 58.3319328724 ) & ( hex[,c(\"VOL\")] <= 19.4969102916 ) & ( hex[,c(\"ID\")] !| 357.317646776 ) ! ( hex[,c(\"PSA\")] == 1.88986571825 )) on dataset ") + filterHex <- hex[!( ( hex[,c("AGE")] > 58.3319328724 ) & ( hex[,c("VOL")] <= 19.4969102916 ) & ( hex[,c("ID")] !| 357.317646776 ) ! ( hex[,c("PSA")] == 1.88986571825 )),] + Log.info("Performing compound task !( ( hex[,c(\"AGE\")] > 63.2198250152 ) & ( hex[,c(\"DPROS\")] <= 3.02956823865 ) & ( hex[,c(\"VOL\")] !| 72.8088717087 ) ! ( hex[,c(\"AGE\")] == 72.7930893184 )) on dataset prostate_long, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("AGE")] > 63.2198250152 ) & ( hex[,c("DPROS")] <= 3.02956823865 ) & ( hex[,c("VOL")] !| 72.8088717087 ) ! ( hex[,c("AGE")] == 72.7930893184 )), c("ID","DPROS","PSA","DCAPS","VOL","CAPSULE","RACE","GLEASON","AGE")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("AGE")] > 63.2198250152 ) & ( hex[,c("DPROS")] <= 3.02956823865 ) & ( hex[,c("VOL")] !| 72.8088717087 ) ! ( hex[,c("AGE")] == 72.7930893184 )), c(1)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data prostate_long", complexFilterTest_prostate_long_164(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_prostate_long_195.R b/R/tests/testdir_autoGen/runit_complexFilterTest_prostate_long_195.R new file mode 100644 index 0000000000..f5e39c9e52 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_prostate_long_195.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_prostate_long_195 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '<=', '&', '==', '|', '>', '&', '>=', '|', '!=']> ") + Log.info("Uploading prostate_long") + hex <- h2o.uploadFile(conn, "../../smalldata/logreg/prostate_long.csv.gz", "rprostate_long.hex") + Log.info("Performing compound task !( ( hex[,c(\"CAPSULE\")] <= 0.48696586503 ) & ( hex[,c(\"CAPSULE\")] == 0.829430300706 ) | ( hex[,c(\"DCAPS\")] > 1.91617971687 ) & ( hex[,c(\"DPROS\")] >= 2.68966971548 ) | ( ( hex[,c(\"ID\")] != 213.757721408 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c("CAPSULE")] <= 0.48696586503 ) & ( hex[,c("CAPSULE")] == 0.829430300706 ) | ( hex[,c("DCAPS")] > 1.91617971687 ) & ( hex[,c("DPROS")] >= 2.68966971548 ) | ( ( hex[,c("ID")] != 213.757721408 )) ),] + Log.info("Performing compound task !( ( hex[,c(\"DPROS\")] <= 1.63729049913 ) & ( hex[,c(\"ID\")] == 246.772135914 ) | ( hex[,c(\"RACE\")] > 1.79288856177 ) & ( hex[,c(\"DPROS\")] >= 1.31657504099 ) | ( ( hex[,c(\"GLEASON\")] != 8.14114751376 )) ) on dataset prostate_long, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("DPROS")] <= 1.63729049913 ) & ( hex[,c("ID")] == 246.772135914 ) | ( hex[,c("RACE")] > 1.79288856177 ) & ( hex[,c("DPROS")] >= 1.31657504099 ) | ( ( hex[,c("GLEASON")] != 8.14114751376 )) ), c("CAPSULE","RACE","DCAPS","VOL","GLEASON","DPROS","ID")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("DPROS")] <= 1.63729049913 ) & ( hex[,c("ID")] == 246.772135914 ) | ( hex[,c("RACE")] > 1.79288856177 ) & ( hex[,c("DPROS")] >= 1.31657504099 ) | ( ( hex[,c("GLEASON")] != 8.14114751376 )) ), c("PSA","AGE")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data prostate_long", complexFilterTest_prostate_long_195(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_randomdata3_155.R b/R/tests/testdir_autoGen/runit_complexFilterTest_randomdata3_155.R new file mode 100644 index 0000000000..7540294708 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_randomdata3_155.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_randomdata3_155 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>', '&', '<=', '&', '!|', '!', '==']> ") + Log.info("Uploading randomdata3") + hex <- h2o.uploadFile(conn, "../../smalldata/randomdata3.csv", "rrandomdata3.hex") + Log.info("Performing compound task !( ( hex[,c(1)] > 917.107084379 ) & ( hex[,c(1)] <= 594.612543477 )) on dataset ") + filterHex <- hex[!( ( hex[,c(1)] > 917.107084379 ) & ( hex[,c(1)] <= 594.612543477 )),] + Log.info("Performing compound task !( ( hex[,c(5)] > 1.29994064089 ) & ( hex[,c(5)] <= 0.265678814147 )) on dataset randomdata3, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c(5)] > 1.29994064089 ) & ( hex[,c(5)] <= 0.265678814147 )), c(5)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c(5)] > 1.29994064089 ) & ( hex[,c(5)] <= 0.265678814147 )), c(1,3,2,4)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data randomdata3", complexFilterTest_randomdata3_155(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_stego_testing_152.R b/R/tests/testdir_autoGen/runit_complexFilterTest_stego_testing_152.R new file mode 100644 index 0000000000..ae0b2051e5 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_stego_testing_152.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_stego_testing_152 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>=']> ") + Log.info("Uploading stego_testing") + hex <- h2o.uploadFile(conn, "../../smalldata/stego/stego_testing.data", "rstego_testing.hex") + Log.info("Performing compound task !( ( ( hex[,c(65)] >= 0.0891866985757 )) ) on dataset ") + filterHex <- hex[!( ( ( hex[,c(65)] >= 0.0891866985757 )) ),] + Log.info("Performing compound task !( ( ( hex[,c(88)] >= 0.20941745134 )) ) on dataset stego_testing, and also subsetting columns.") + filterHex <- hex[!( ( ( hex[,c(88)] >= 0.20941745134 )) ), c(153,152,122,135,157,156,62,29,82,88,130,113,134,68,83,52,118,24,25,117,81,21,46,47,28,43,40,94,2,162,4,108,78,146,140,120,98,75,125,127,93,92,106,161,104,163,77,38,55,56,37,50,53,34,33,131,30)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( ( hex[,c(88)] >= 0.20941745134 )) ), c(133,132,137,136,139,138,26,27,20,22,23,160,8,121,123,124,126,128,129,59,58,54,57,51,115,114,116,111,110,112,80,86,87,84,85,3,7,109,102,103,100,101,107,105,39,32,31,36,35,60,61,63,64,65,66,67,69,6,99,91,90,95,97,96,11,10,13,12,15,14,17,16,19,18,89,151,150,155,154,159,158,48,49,119,44,45,42,41,1,5,9,147,144,145,142,143,141,148,149,76,74,73,72,71,70,79)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data stego_testing", complexFilterTest_stego_testing_152(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_stego_training_151.R b/R/tests/testdir_autoGen/runit_complexFilterTest_stego_training_151.R new file mode 100644 index 0000000000..41ab97bb51 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_stego_training_151.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_stego_training_151 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>=']> ") + Log.info("Uploading stego_training") + hex <- h2o.uploadFile(conn, "../../smalldata/stego/stego_training.data", "rstego_training.hex") + Log.info("Performing compound task !( ( ( hex[,c(73)] >= 0.0240807992621 )) ) on dataset ") + filterHex <- hex[!( ( ( hex[,c(73)] >= 0.0240807992621 )) ),] + Log.info("Performing compound task !( ( ( hex[,c(146)] >= 0.0188742545663 )) ) on dataset stego_training, and also subsetting columns.") + filterHex <- hex[!( ( ( hex[,c(146)] >= 0.0188742545663 )) ), c(153,155,154,157,130,114,62,89,111,65,103,69,139,87,22,160,45,42,5,4,146,147,144,142,149,99,76,75,123,132,72,126,102,90,106,94,104,133,13,38,14,16,19,18,57,51,88,55,131,116,125)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( ( hex[,c(146)] >= 0.0188742545663 )) ), c(137,136,135,134,138,24,25,26,27,20,21,23,28,29,162,8,163,119,120,121,122,124,127,128,129,59,58,54,56,50,53,52,115,117,110,113,112,82,83,80,81,86,118,84,85,3,7,108,109,100,101,107,105,39,33,32,31,30,37,36,35,34,60,61,63,64,66,67,68,2,6,98,91,93,92,95,161,97,96,11,10,12,15,17,151,150,152,156,159,158,48,49,46,47,44,43,40,41,1,9,145,143,140,141,148,77,74,73,71,70,79,78)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data stego_training", complexFilterTest_stego_training_151(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_stego_training_162.R b/R/tests/testdir_autoGen/runit_complexFilterTest_stego_training_162.R new file mode 100644 index 0000000000..a5be15d8be --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_stego_training_162.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_stego_training_162 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>', '&', '<=', '&', '!|', '!', '==']> ") + Log.info("Uploading stego_training") + hex <- h2o.uploadFile(conn, "../../smalldata/stego/stego_training.data", "rstego_training.hex") + Log.info("Performing compound task !( ( hex[,c(14)] > 0.0877498773972 ) & ( hex[,c(110)] <= 0.0183258347049 ) & ( hex[,c(18)] !| 0.0866045130047 ) ! ( hex[,c(145)] == 0.0657337493612 )) on dataset ") + filterHex <- hex[!( ( hex[,c(14)] > 0.0877498773972 ) & ( hex[,c(110)] <= 0.0183258347049 ) & ( hex[,c(18)] !| 0.0866045130047 ) ! ( hex[,c(145)] == 0.0657337493612 )),] + Log.info("Performing compound task !( ( hex[,c(32)] > 0.0988523195414 ) & ( hex[,c(71)] <= 0.126800811842 ) & ( hex[,c(44)] !| 0.0353873277179 ) ! ( hex[,c(141)] == 0.162977780315 )) on dataset stego_training, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c(32)] > 0.0988523195414 ) & ( hex[,c(71)] <= 0.126800811842 ) & ( hex[,c(44)] !| 0.0353873277179 ) ! ( hex[,c(141)] == 0.162977780315 )), c(154,115,64,68,86,25,44,28,162,4,7,144,140,141,121,73,71,128,92,104,19,32,50,18)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c(32)] > 0.0988523195414 ) & ( hex[,c(71)] <= 0.126800811842 ) & ( hex[,c(44)] !| 0.0353873277179 ) ! ( hex[,c(141)] == 0.162977780315 )), c(133,132,131,130,137,136,135,134,139,138,24,26,27,20,21,22,23,160,29,161,8,163,120,122,123,124,125,126,127,129,118,59,58,55,54,57,56,51,53,52,114,88,89,111,110,113,112,82,83,80,81,119,87,84,85,3,108,109,102,103,100,101,106,107,105,39,38,33,31,30,37,36,35,34,60,61,62,63,65,66,67,69,2,6,99,98,91,90,93,95,94,97,96,11,10,13,12,15,14,17,16,117,116,151,150,153,152,155,157,156,159,158,48,49,46,47,45,42,43,40,41,1,5,9,146,147,145,142,143,148,149,77,76,75,74,72,70,79,78)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data stego_training", complexFilterTest_stego_training_162(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_stego_training_modified_156.R b/R/tests/testdir_autoGen/runit_complexFilterTest_stego_training_modified_156.R new file mode 100644 index 0000000000..99539c3835 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_stego_training_modified_156.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_stego_training_modified_156 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>', '&', '<=', '&', '!|', '!', '==']> ") + Log.info("Uploading stego_training_modified") + hex <- h2o.uploadFile(conn, "../../smalldata/stego/stego_training_modified.data", "rstego_training_modified.hex") + Log.info("Performing compound task !( ( hex[,c(115)] > 0.078153416156 ) & ( hex[,c(111)] <= 0.0188167241034 ) & ( hex[,c(86)] !| 0.105267885144 ) ! ( hex[,c(59)] == 0.0417030428546 )) on dataset ") + filterHex <- hex[!( ( hex[,c(115)] > 0.078153416156 ) & ( hex[,c(111)] <= 0.0188167241034 ) & ( hex[,c(86)] !| 0.105267885144 ) ! ( hex[,c(59)] == 0.0417030428546 )),] + Log.info("Performing compound task !( ( hex[,c(79)] > 0.125032692076 ) & ( hex[,c(48)] <= 0.032423956125 ) & ( hex[,c(67)] !| 0.0484999970301 ) ! ( hex[,c(144)] == 0.0765643573221 )) on dataset stego_training_modified, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c(79)] > 0.125032692076 ) & ( hex[,c(48)] <= 0.032423956125 ) & ( hex[,c(67)] !| 0.0484999970301 ) ! ( hex[,c(144)] == 0.0765643573221 )), c(144,48,157,26,67,79)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c(79)] > 0.125032692076 ) & ( hex[,c(48)] <= 0.032423956125 ) & ( hex[,c(67)] !| 0.0484999970301 ) ! ( hex[,c(144)] == 0.0765643573221 )), c(133,132,131,130,137,136,135,134,139,138,24,25,27,20,21,22,23,160,28,29,161,4,8,163,119,120,121,122,123,124,125,126,127,128,129,118,59,58,55,54,57,56,51,50,53,52,115,114,88,89,111,110,113,112,82,83,80,81,86,87,84,85,3,7,108,109,102,103,100,101,106,107,104,105,39,38,33,32,31,30,37,36,35,34,60,61,62,63,64,65,66,68,69,2,162,6,99,98,91,90,93,92,95,94,97,96,11,10,13,12,15,14,17,16,19,18,117,116,151,150,153,152,155,154,156,159,158,49,46,47,44,45,42,43,40,41,1,5,9,146,147,145,142,143,140,141,148,149,77,76,75,74,73,72,71,70,78)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data stego_training_modified", complexFilterTest_stego_training_modified_156(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_syn_fp_prostate_189.R b/R/tests/testdir_autoGen/runit_complexFilterTest_syn_fp_prostate_189.R new file mode 100644 index 0000000000..b2a2b91e27 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_syn_fp_prostate_189.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_syn_fp_prostate_189 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '!=', '|', '<', '|', '>=']> ") + Log.info("Uploading syn_fp_prostate") + hex <- h2o.uploadFile(conn, "../../smalldata/syn_fp_prostate.csv", "rsyn_fp_prostate.hex") + Log.info("Performing compound task !( ( hex[,c(\"CAPSULE\")] != 6.1758073064e+58 ) | ( hex[,c(\"DCAPS\")] < 5.53088760501e+58 ) | ( ( hex[,c(\"ID\")] >= 1.65720843997 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c("CAPSULE")] != 6.1758073064e+58 ) | ( hex[,c("DCAPS")] < 5.53088760501e+58 ) | ( ( hex[,c("ID")] >= 1.65720843997 )) ),] + Log.info("Performing compound task !( ( hex[,c(\"RACE\")] != 6.96151508861e+58 ) | ( hex[,c(\"ID\")] < 1.89718715883 ) | ( ( hex[,c(\"CAPSULE\")] >= -9.73413271649e+58 )) ) on dataset syn_fp_prostate, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("RACE")] != 6.96151508861e+58 ) | ( hex[,c("ID")] < 1.89718715883 ) | ( ( hex[,c("CAPSULE")] >= -9.73413271649e+58 )) ), c("GLEASON","RACE","PSA","DCAPS","VOL","CAPSULE","DPROS","ID","AGE")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("RACE")] != 6.96151508861e+58 ) | ( hex[,c("ID")] < 1.89718715883 ) | ( ( hex[,c("CAPSULE")] >= -9.73413271649e+58 )) ), c(1)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data syn_fp_prostate", complexFilterTest_syn_fp_prostate_189(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_syn_sphere3_173.R b/R/tests/testdir_autoGen/runit_complexFilterTest_syn_sphere3_173.R new file mode 100644 index 0000000000..55ab89f04c --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_syn_sphere3_173.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_syn_sphere3_173 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '!=', '|', '<', '|', '>=']> ") + Log.info("Uploading syn_sphere3") + hex <- h2o.uploadFile(conn, "../../smalldata/syn_sphere3.csv", "rsyn_sphere3.hex") + Log.info("Performing compound task !( ( hex[,c(1)] != 11.8203040851 ) | ( hex[,c(2)] < 59.5077871601 )) on dataset ") + filterHex <- hex[!( ( hex[,c(1)] != 11.8203040851 ) | ( hex[,c(2)] < 59.5077871601 )),] + Log.info("Performing compound task !( ( hex[,c(1)] != 13.3633094021 ) | ( hex[,c(1)] < 19.471944918 )) on dataset syn_sphere3, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c(1)] != 13.3633094021 ) | ( hex[,c(1)] < 19.471944918 )), c(1)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c(1)] != 13.3633094021 ) | ( hex[,c(1)] < 19.471944918 )), c(2)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data syn_sphere3", complexFilterTest_syn_sphere3_173(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_test_150.R b/R/tests/testdir_autoGen/runit_complexFilterTest_test_150.R new file mode 100644 index 0000000000..dad7b91fbb --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_test_150.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_test_150 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>=']> ") + Log.info("Uploading test") + hex <- h2o.uploadFile(conn, "../../smalldata/chess/chess_2x2x1000/h2o/test.csv", "rtest.hex") + Log.info("Performing compound task !( ( ( hex[,c(\"y\")] >= 1.73905096339 )) ) on dataset ") + filterHex <- hex[!( ( ( hex[,c("y")] >= 1.73905096339 )) ),] + Log.info("Performing compound task !( ( ( hex[,c(\"y\")] >= 0.486181398103 )) ) on dataset test, and also subsetting columns.") + filterHex <- hex[!( ( ( hex[,c("y")] >= 0.486181398103 )) ), c("x","y")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( ( hex[,c("y")] >= 0.486181398103 )) ), c("color")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data test", complexFilterTest_test_150(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_test_154.R b/R/tests/testdir_autoGen/runit_complexFilterTest_test_154.R new file mode 100644 index 0000000000..7c27cf3ab6 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_test_154.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_test_154 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>=']> ") + Log.info("Uploading test") + hex <- h2o.uploadFile(conn, "../../smalldata/chess/chess_2x2x100/h2o/test.csv", "rtest.hex") + Log.info("Performing compound task !( ( ( hex[,c(\"y\")] >= 1.56371951016 )) ) on dataset ") + filterHex <- hex[!( ( ( hex[,c("y")] >= 1.56371951016 )) ),] + Log.info("Performing compound task !( ( ( hex[,c(\"y\")] >= 0.329396696171 )) ) on dataset test, and also subsetting columns.") + filterHex <- hex[!( ( ( hex[,c("y")] >= 0.329396696171 )) ), c("x","y")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( ( hex[,c("y")] >= 0.329396696171 )) ), c("color")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data test", complexFilterTest_test_154(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_test_159.R b/R/tests/testdir_autoGen/runit_complexFilterTest_test_159.R new file mode 100644 index 0000000000..36d3204236 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_test_159.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_test_159 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>', '&', '<=', '&', '!|', '!', '==']> ") + Log.info("Uploading test") + hex <- h2o.uploadFile(conn, "../../smalldata/chess/chess_1x2x1000/h2o/test.csv", "rtest.hex") + Log.info("Performing compound task !( ( hex[,c(\"x\")] > 0.0904779620387 ) & ( hex[,c(\"y\")] <= 0.345496506241 ) & ( hex[,c(\"x\")] !| 0.0941864865421 ) ! ( hex[,c(\"x\")] == 0.74437781499 )) on dataset ") + filterHex <- hex[!( ( hex[,c("x")] > 0.0904779620387 ) & ( hex[,c("y")] <= 0.345496506241 ) & ( hex[,c("x")] !| 0.0941864865421 ) ! ( hex[,c("x")] == 0.74437781499 )),] + Log.info("Performing compound task !( ( hex[,c(\"y\")] > 1.72404045964 ) & ( hex[,c(\"y\")] <= 0.597910250976 ) & ( hex[,c(\"x\")] !| 0.888626807569 ) ! ( hex[,c(\"y\")] == 0.440905806325 )) on dataset test, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("y")] > 1.72404045964 ) & ( hex[,c("y")] <= 0.597910250976 ) & ( hex[,c("x")] !| 0.888626807569 ) ! ( hex[,c("y")] == 0.440905806325 )), c("x","y")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("y")] > 1.72404045964 ) & ( hex[,c("y")] <= 0.597910250976 ) & ( hex[,c("x")] !| 0.888626807569 ) ! ( hex[,c("y")] == 0.440905806325 )), c("color")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data test", complexFilterTest_test_159(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_test_191.R b/R/tests/testdir_autoGen/runit_complexFilterTest_test_191.R new file mode 100644 index 0000000000..1aa8059867 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_test_191.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_test_191 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '<=', '&', '==', '|', '>', '&', '>=', '|', '!=']> ") + Log.info("Uploading test") + hex <- h2o.uploadFile(conn, "../../smalldata/chess/chess_2x2x100/h2o/test.csv", "rtest.hex") + Log.info("Performing compound task !( ( hex[,c(\"y\")] <= 1.37697344301 ) & ( hex[,c(\"y\")] == 1.37500119586 )) on dataset ") + filterHex <- hex[!( ( hex[,c("y")] <= 1.37697344301 ) & ( hex[,c("y")] == 1.37500119586 )),] + Log.info("Performing compound task !( ( hex[,c(\"y\")] <= 0.349516778436 ) & ( hex[,c(\"y\")] == 0.499116736741 )) on dataset test, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("y")] <= 0.349516778436 ) & ( hex[,c("y")] == 0.499116736741 )), c("y")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("y")] <= 0.349516778436 ) & ( hex[,c("y")] == 0.499116736741 )), c("x","color")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data test", complexFilterTest_test_191(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_test_200.R b/R/tests/testdir_autoGen/runit_complexFilterTest_test_200.R new file mode 100644 index 0000000000..3b881d152d --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_test_200.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_test_200 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '<=', '&', '==', '|', '>', '&', '>=', '|', '!=']> ") + Log.info("Uploading test") + hex <- h2o.uploadFile(conn, "../../smalldata/chess/chess_2x2x10/weka/test.csv.arff", "rtest.hex") + Log.info("Performing compound task !( ( hex[,c(1)] <= 0.402218320285 ) & ( hex[,c(1)] == 1.91888152468 ) | ( hex[,c(1)] > 0.238881032985 ) & ( hex[,c(1)] >= 0.163925504901 ) | ( ( hex[,c(1)] != 0.746822774792 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c(1)] <= 0.402218320285 ) & ( hex[,c(1)] == 1.91888152468 ) | ( hex[,c(1)] > 0.238881032985 ) & ( hex[,c(1)] >= 0.163925504901 ) | ( ( hex[,c(1)] != 0.746822774792 )) ),] + Log.info("Performing compound task !( ( hex[,c(1)] <= 1.57361203603 ) & ( hex[,c(1)] == 0.253517650205 ) | ( hex[,c(1)] > 1.82703662976 ) & ( hex[,c(1)] >= 0.858825140798 ) | ( ( hex[,c(1)] != 0.509333807363 )) ) on dataset test, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c(1)] <= 1.57361203603 ) & ( hex[,c(1)] == 0.253517650205 ) | ( hex[,c(1)] > 1.82703662976 ) & ( hex[,c(1)] >= 0.858825140798 ) | ( ( hex[,c(1)] != 0.509333807363 )) ), c(1)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c(1)] <= 1.57361203603 ) & ( hex[,c(1)] == 0.253517650205 ) | ( hex[,c(1)] > 1.82703662976 ) & ( hex[,c(1)] >= 0.858825140798 ) | ( ( hex[,c(1)] != 0.509333807363 )) ), c(2)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data test", complexFilterTest_test_200(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_test_206.R b/R/tests/testdir_autoGen/runit_complexFilterTest_test_206.R new file mode 100644 index 0000000000..9dd9c3619c --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_test_206.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_test_206 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '<=', '&', '==', '|', '>', '&', '>=', '|', '!=']> ") + Log.info("Uploading test") + hex <- h2o.uploadFile(conn, "../../smalldata/chess/chess_2x2x500/weka/test.csv.arff", "rtest.hex") + Log.info("Performing compound task !( ( hex[,c(1)] <= 1.01668150438 ) & ( hex[,c(1)] == 0.803855304124 ) | ( hex[,c(1)] > 0.243152087671 ) & ( hex[,c(1)] >= 0.535974648671 ) | ( ( hex[,c(1)] != 0.583614701838 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c(1)] <= 1.01668150438 ) & ( hex[,c(1)] == 0.803855304124 ) | ( hex[,c(1)] > 0.243152087671 ) & ( hex[,c(1)] >= 0.535974648671 ) | ( ( hex[,c(1)] != 0.583614701838 )) ),] + Log.info("Performing compound task !( ( hex[,c(1)] <= 0.904568995028 ) & ( hex[,c(1)] == 0.387696767701 ) | ( hex[,c(1)] > 1.42679678467 ) & ( hex[,c(1)] >= 0.879879136675 ) | ( ( hex[,c(1)] != 0.0661842270473 )) ) on dataset test, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c(1)] <= 0.904568995028 ) & ( hex[,c(1)] == 0.387696767701 ) | ( hex[,c(1)] > 1.42679678467 ) & ( hex[,c(1)] >= 0.879879136675 ) | ( ( hex[,c(1)] != 0.0661842270473 )) ), c(1)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c(1)] <= 0.904568995028 ) & ( hex[,c(1)] == 0.387696767701 ) | ( hex[,c(1)] > 1.42679678467 ) & ( hex[,c(1)] >= 0.879879136675 ) | ( ( hex[,c(1)] != 0.0661842270473 )) ), c(2)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data test", complexFilterTest_test_206(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_test_26cols_single_space_sep_2_205.R b/R/tests/testdir_autoGen/runit_complexFilterTest_test_26cols_single_space_sep_2_205.R new file mode 100644 index 0000000000..e8e155996a --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_test_26cols_single_space_sep_2_205.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_test_26cols_single_space_sep_2_205 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '<=', '&', '==', '|', '>', '&', '>=', '|', '!=']> ") + Log.info("Uploading test_26cols_single_space_sep_2") + hex <- h2o.uploadFile(conn, "../../smalldata/test/test_26cols_single_space_sep_2.csv", "rtest_26cols_single_space_sep_2.hex") + Log.info("Performing compound task !( ( hex[,c(\"V\")] <= 22.0 ) & ( hex[,c(\"M\")] == 13.0 ) | ( hex[,c(\"B\")] > 2.0 ) & ( hex[,c(\"J\")] >= 10.0 ) | ( ( hex[,c(\"Z\")] != 26.0 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c("V")] <= 22.0 ) & ( hex[,c("M")] == 13.0 ) | ( hex[,c("B")] > 2.0 ) & ( hex[,c("J")] >= 10.0 ) | ( ( hex[,c("Z")] != 26.0 )) ),] + Log.info("Performing compound task !( ( hex[,c(\"L\")] <= 12.0 ) & ( hex[,c(\"N\")] == 14.0 ) | ( hex[,c(\"H\")] > 8.0 ) & ( hex[,c(\"R\")] >= 18.0 ) | ( ( hex[,c(\"P\")] != 16.0 )) ) on dataset test_26cols_single_space_sep_2, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("L")] <= 12.0 ) & ( hex[,c("N")] == 14.0 ) | ( hex[,c("H")] > 8.0 ) & ( hex[,c("R")] >= 18.0 ) | ( ( hex[,c("P")] != 16.0 )) ), c("G","P","C","Z","O","X","J","H","V","T","R","Q","D","B","N","Y","L","M","K","W","U","S")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("L")] <= 12.0 ) & ( hex[,c("N")] == 14.0 ) | ( hex[,c("H")] > 8.0 ) & ( hex[,c("R")] >= 18.0 ) | ( ( hex[,c("P")] != 16.0 )) ), c("E","F","A","I")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data test_26cols_single_space_sep_2", complexFilterTest_test_26cols_single_space_sep_2_205(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_test_all_raw_top10rows_141.R b/R/tests/testdir_autoGen/runit_complexFilterTest_test_all_raw_top10rows_141.R new file mode 100644 index 0000000000..d1e6be58a4 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_test_all_raw_top10rows_141.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_test_all_raw_top10rows_141 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>=']> ") + Log.info("Uploading test_all_raw_top10rows") + hex <- h2o.uploadFile(conn, "../../smalldata/test/test_all_raw_top10rows.csv", "rtest_all_raw_top10rows.hex") + Log.info("Performing compound task !( ( ( hex[,c(\"GrowthIncreasePercentage\")] >= 0.0 )) ) on dataset ") + filterHex <- hex[!( ( ( hex[,c("GrowthIncreasePercentage")] >= 0.0 )) ),] + Log.info("Performing compound task !( ( ( hex[,c(\"RegisteredOnline\")] >= 0.469373810026 )) ) on dataset test_all_raw_top10rows, and also subsetting columns.") + filterHex <- hex[!( ( ( hex[,c("RegisteredOnline")] >= 0.469373810026 )) ), c("DeliveryTotal","Srvy_bythngs_online","CBSADivPop2003","RegisteredOnline","CBSA","FeePlanID","LN_pass","GrowthIncreasePercentage","IncomePerHousehold","Population","white_percent","AverageHouseValue","LN_Cx","checkpointscore","TU_pass","AnsweredSurvey","IndianPopulation","hispanic_percent")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( ( hex[,c("RegisteredOnline")] >= 0.469373810026 )) ), c("MSA","Month","Srvy_Plan2DD","WhitePopulation","CBSA_Div","HispanicPopulation","PopulationEstimate","WebApp","NumberOfEmployees","Innovis_pass","TU_Cx","clientkey","MedianAgeFemale","HouseholdsPerZipCode","sex","male_percent","AsianPopulation","region","HawaiianPopulation","DeliveryResidential","zip","BusinessFirstQuarterPayroll","BusinessAnnualPayroll","LandArea","grade","GrowthHousingUnits2003","black_percent","OnDD","DayLightSaving","Channel","age","PMSA","Activated","CityType","Experian_Cx","Randm","NumberOfBusinesses","TimeofDay","PlasticTypeID","Elevation","PlanType","Has_bnk_AC","GrowthRank","Choicepoint_Cx","CBSAPop2003","division","Innovis_Cx","Experian_pass","TimeZone","Choicepoint_pass","GrowthIncreaseNumber","PlasticType","female_percent","WaterArea","Day_Week","levelonedecisioncode","Appid","Verified","id","OtherPopulation","entereddate","PersonsPerHousehold","DeliveryBusiness","FemalePopulation","MalePopulation","CSA","MedianAge","MedianAgeMale","applicationid","BlackPopulation","GrowthHousingUnits2004")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data test_all_raw_top10rows", complexFilterTest_test_all_raw_top10rows_141(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_test_all_raw_top10rows_193.R b/R/tests/testdir_autoGen/runit_complexFilterTest_test_all_raw_top10rows_193.R new file mode 100644 index 0000000000..58351acaa6 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_test_all_raw_top10rows_193.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_test_all_raw_top10rows_193 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '<=', '&', '==', '|', '>', '&', '>=', '|', '!=']> ") + Log.info("Uploading test_all_raw_top10rows") + hex <- h2o.uploadFile(conn, "../../smalldata/test/test_all_raw_top10rows.csv", "rtest_all_raw_top10rows.hex") + Log.info("Performing compound task !( ( hex[,c(\"PersonsPerHousehold\")] <= 2.45763675784 ) & ( hex[,c(\"BusinessFirstQuarterPayroll\")] == 282101.546357 ) | ( hex[,c(\"IndianPopulation\")] > 1347.08103152 ) & ( hex[,c(\"HouseholdsPerZipCode\")] >= 32085.3161198 ) | ( ( hex[,c(\"CBSADivPop2003\")] != 3250495.94571 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c("PersonsPerHousehold")] <= 2.45763675784 ) & ( hex[,c("BusinessFirstQuarterPayroll")] == 282101.546357 ) | ( hex[,c("IndianPopulation")] > 1347.08103152 ) & ( hex[,c("HouseholdsPerZipCode")] >= 32085.3161198 ) | ( ( hex[,c("CBSADivPop2003")] != 3250495.94571 )) ),] + Log.info("Performing compound task !( ( hex[,c(\"TimeZone\")] <= 5.39939178657 ) & ( hex[,c(\"Day_Week\")] == 1.0 ) | ( hex[,c(\"BlackPopulation\")] > 40666.6417295 ) & ( hex[,c(\"IncomePerHousehold\")] >= 39416.9489515 ) | ( ( hex[,c(\"Choicepoint_Cx\")] != 0.0 )) ) on dataset test_all_raw_top10rows, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("TimeZone")] <= 5.39939178657 ) & ( hex[,c("Day_Week")] == 1.0 ) | ( hex[,c("BlackPopulation")] > 40666.6417295 ) & ( hex[,c("IncomePerHousehold")] >= 39416.9489515 ) | ( ( hex[,c("Choicepoint_Cx")] != 0.0 )) ), c("MSA","IncomePerHousehold","TimeZone","Day_Week","Choicepoint_Cx","AverageHouseValue","PersonsPerHousehold","MedianAgeFemale","BlackPopulation","hispanic_percent")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("TimeZone")] <= 5.39939178657 ) & ( hex[,c("Day_Week")] == 1.0 ) | ( hex[,c("BlackPopulation")] > 40666.6417295 ) & ( hex[,c("IncomePerHousehold")] >= 39416.9489515 ) | ( ( hex[,c("Choicepoint_Cx")] != 0.0 )) ), c("CBSADivPop2003","Month","Srvy_Plan2DD","WhitePopulation","PopulationEstimate","FeePlanID","CBSA_Div","HispanicPopulation","GrowthIncreasePercentage","Population","white_percent","WebApp","NumberOfEmployees","TU_pass","clientkey","HouseholdsPerZipCode","RegisteredOnline","male_percent","levelonedecisioncode","AsianPopulation","checkpointscore","region","HawaiianPopulation","DeliveryResidential","zip","BusinessFirstQuarterPayroll","BusinessAnnualPayroll","LandArea","LN_Cx","grade","GrowthHousingUnits2003","AnsweredSurvey","IndianPopulation","OnDD","DayLightSaving","Channel","age","PMSA","Activated","CityType","Experian_Cx","sex","Randm","NumberOfBusinesses","black_percent","TimeofDay","PlasticTypeID","Elevation","PlanType","Innovis_Cx","Has_bnk_AC","GrowthRank","CBSA","division","DeliveryTotal","Experian_pass","Srvy_bythngs_online","GrowthIncreaseNumber","PlasticType","female_percent","WaterArea","Choicepoint_pass","Innovis_pass","LN_pass","Appid","Verified","id","OtherPopulation","entereddate","DeliveryBusiness","FemalePopulation","MalePopulation","CSA","TU_Cx","MedianAge","MedianAgeMale","applicationid","CBSAPop2003","GrowthHousingUnits2004")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data test_all_raw_top10rows", complexFilterTest_test_all_raw_top10rows_193(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_test_enum_domain_size_201.R b/R/tests/testdir_autoGen/runit_complexFilterTest_test_enum_domain_size_201.R new file mode 100644 index 0000000000..2fd46aa0ab --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_test_enum_domain_size_201.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_test_enum_domain_size_201 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '<=', '&', '==', '|', '>', '&', '>=', '|', '!=']> ") + Log.info("Uploading test_enum_domain_size") + hex <- h2o.uploadFile(conn, "../../smalldata/test/test_enum_domain_size.csv", "rtest_enum_domain_size.hex") + Log.info("Performing compound task !( ( hex[,c(\"A2\")] <= 7.4055833184 ) & ( hex[,c(\"A1\")] == 3.92884518474 ) | ( hex[,c(\"A2\")] > 5.47273423465 ) & ( hex[,c(\"A1\")] >= 2.03001992858 ) | ( ( hex[,c(\"A1\")] != 1.36192731407 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c("A2")] <= 7.4055833184 ) & ( hex[,c("A1")] == 3.92884518474 ) | ( hex[,c("A2")] > 5.47273423465 ) & ( hex[,c("A1")] >= 2.03001992858 ) | ( ( hex[,c("A1")] != 1.36192731407 )) ),] + Log.info("Performing compound task !( ( hex[,c(\"A2\")] <= 6.23625111613 ) & ( hex[,c(\"A2\")] == 5.86879481523 ) | ( hex[,c(\"A1\")] > 1.38170237048 ) & ( hex[,c(\"A2\")] >= 6.5932840522 ) | ( ( hex[,c(\"A1\")] != 3.24154819827 )) ) on dataset test_enum_domain_size, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("A2")] <= 6.23625111613 ) & ( hex[,c("A2")] == 5.86879481523 ) | ( hex[,c("A1")] > 1.38170237048 ) & ( hex[,c("A2")] >= 6.5932840522 ) | ( ( hex[,c("A1")] != 3.24154819827 )) ), c("A1","A2")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("A2")] <= 6.23625111613 ) & ( hex[,c("A2")] == 5.86879481523 ) | ( hex[,c("A1")] > 1.38170237048 ) & ( hex[,c("A2")] >= 6.5932840522 ) | ( ( hex[,c("A1")] != 3.24154819827 )) ), c("A3")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data test_enum_domain_size", complexFilterTest_test_enum_domain_size_201(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_test_manycol_tree_158.R b/R/tests/testdir_autoGen/runit_complexFilterTest_test_manycol_tree_158.R new file mode 100644 index 0000000000..03c6b30f85 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_test_manycol_tree_158.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_test_manycol_tree_158 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>', '&', '<=', '&', '!|', '!', '==']> ") + Log.info("Uploading test_manycol_tree") + hex <- h2o.uploadFile(conn, "../../smalldata/test/test_manycol_tree.csv", "rtest_manycol_tree.hex") + Log.info("Performing compound task !( ( hex[,c(\"B\")] > 2.94905426306 ) & ( hex[,c(\"B\")] <= 2.48143901466 ) & ( hex[,c(\"A\")] !| 1.24024066793 ) ! ( hex[,c(\"B\")] == 2.62954647412 )) on dataset ") + filterHex <- hex[!( ( hex[,c("B")] > 2.94905426306 ) & ( hex[,c("B")] <= 2.48143901466 ) & ( hex[,c("A")] !| 1.24024066793 ) ! ( hex[,c("B")] == 2.62954647412 )),] + Log.info("Performing compound task !( ( hex[,c(\"C\")] > 1.12065680968 ) & ( hex[,c(\"C\")] <= 1.11774852597 ) & ( hex[,c(\"D\")] !| 1.85054751104 ) ! ( hex[,c(\"X\")] == 1.64701555652 )) on dataset test_manycol_tree, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("C")] > 1.12065680968 ) & ( hex[,c("C")] <= 1.11774852597 ) & ( hex[,c("D")] !| 1.85054751104 ) ! ( hex[,c("X")] == 1.64701555652 )), c("X","B","C","D")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("C")] > 1.12065680968 ) & ( hex[,c("C")] <= 1.11774852597 ) & ( hex[,c("D")] !| 1.85054751104 ) ! ( hex[,c("X")] == 1.64701555652 )), c("response","A")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data test_manycol_tree", complexFilterTest_test_manycol_tree_158(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_test_tree_187.R b/R/tests/testdir_autoGen/runit_complexFilterTest_test_tree_187.R new file mode 100644 index 0000000000..bab4a63c49 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_test_tree_187.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_test_tree_187 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '!=', '|', '<', '|', '>=']> ") + Log.info("Uploading test_tree") + hex <- h2o.uploadFile(conn, "../../smalldata/test/test_tree.csv", "rtest_tree.hex") + Log.info("Performing compound task !( ( hex[,c(\"Y\")] != 1.00310762665 ) | ( hex[,c(\"Y\")] < 1.96935444285 ) | ( ( hex[,c(\"Y\")] >= 0.710755794528 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c("Y")] != 1.00310762665 ) | ( hex[,c("Y")] < 1.96935444285 ) | ( ( hex[,c("Y")] >= 0.710755794528 )) ),] + Log.info("Performing compound task !( ( hex[,c(\"Y\")] != 1.06029851823 ) | ( hex[,c(\"Y\")] < 1.03187059735 ) | ( ( hex[,c(\"Y\")] >= 1.21071880523 )) ) on dataset test_tree, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("Y")] != 1.06029851823 ) | ( hex[,c("Y")] < 1.03187059735 ) | ( ( hex[,c("Y")] >= 1.21071880523 )) ), c("X","Y")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("Y")] != 1.06029851823 ) | ( hex[,c("Y")] < 1.03187059735 ) | ( ( hex[,c("Y")] >= 1.21071880523 )) ), c(1)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data test_tree", complexFilterTest_test_tree_187(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_tnc3_10_194.R b/R/tests/testdir_autoGen/runit_complexFilterTest_tnc3_10_194.R new file mode 100644 index 0000000000..8c34d65759 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_tnc3_10_194.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_tnc3_10_194 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '<=', '&', '==', '|', '>', '&', '>=', '|', '!=']> ") + Log.info("Uploading tnc3_10") + hex <- h2o.uploadFile(conn, "../../smalldata/tnc3_10.csv", "rtnc3_10.hex") + Log.info("Performing compound task !( ( hex[,c(\"pclass\")] <= 1.0 ) & ( hex[,c(\"parch\")] == 0.450558570852 ) | ( hex[,c(\"survived\")] > 0.846057229407 ) & ( hex[,c(\"parch\")] >= 1.07852272527 ) | ( ( hex[,c(\"survived\")] != 0.489000063517 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c("pclass")] <= 1.0 ) & ( hex[,c("parch")] == 0.450558570852 ) | ( hex[,c("survived")] > 0.846057229407 ) & ( hex[,c("parch")] >= 1.07852272527 ) | ( ( hex[,c("survived")] != 0.489000063517 )) ),] + Log.info("Performing compound task !( ( hex[,c(\"survived\")] <= 0.289964873846 ) & ( hex[,c(\"parch\")] == 0.943236614323 ) | ( hex[,c(\"age\")] > 44.2762578221 ) & ( hex[,c(\"fare\")] >= 206.806016209 ) | ( ( hex[,c(\"age\")] != 39.4677324602 )) ) on dataset tnc3_10, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("survived")] <= 0.289964873846 ) & ( hex[,c("parch")] == 0.943236614323 ) | ( hex[,c("age")] > 44.2762578221 ) & ( hex[,c("fare")] >= 206.806016209 ) | ( ( hex[,c("age")] != 39.4677324602 )) ), c("survived","sibsp","fare","age","parch")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("survived")] <= 0.289964873846 ) & ( hex[,c("parch")] == 0.943236614323 ) | ( hex[,c("age")] > 44.2762578221 ) & ( hex[,c("fare")] >= 206.806016209 ) | ( ( hex[,c("age")] != 39.4677324602 )) ), c("boat","name","sex","pclass","ticket","cabin","home.dest","body","embarked")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data tnc3_10", complexFilterTest_tnc3_10_194(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_train_137.R b/R/tests/testdir_autoGen/runit_complexFilterTest_train_137.R new file mode 100644 index 0000000000..c29348fd25 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_train_137.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_train_137 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>=']> ") + Log.info("Uploading train") + hex <- h2o.uploadFile(conn, "../../smalldata/chess/chess_2x2x200/weka/train.csv.arff", "rtrain.hex") + Log.info("Performing compound task !( ( ( hex[,c(1)] >= 1.49056146025 )) ) on dataset ") + filterHex <- hex[!( ( ( hex[,c(1)] >= 1.49056146025 )) ),] + Log.info("Performing compound task !( ( ( hex[,c(1)] >= 1.54354790626 )) ) on dataset train, and also subsetting columns.") + filterHex <- hex[!( ( ( hex[,c(1)] >= 1.54354790626 )) ), c(1)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( ( hex[,c(1)] >= 1.54354790626 )) ), c(2)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data train", complexFilterTest_train_137(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_train_146.R b/R/tests/testdir_autoGen/runit_complexFilterTest_train_146.R new file mode 100644 index 0000000000..0059aced49 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_train_146.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_train_146 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '>=']> ") + Log.info("Uploading train") + hex <- h2o.uploadFile(conn, "../../smalldata/chess/chess_2x2x500/weka/train.csv.arff", "rtrain.hex") + Log.info("Performing compound task !( ( ( hex[,c(1)] >= 1.40134718311 )) ) on dataset ") + filterHex <- hex[!( ( ( hex[,c(1)] >= 1.40134718311 )) ),] + Log.info("Performing compound task !( ( ( hex[,c(1)] >= 0.210811684683 )) ) on dataset train, and also subsetting columns.") + filterHex <- hex[!( ( ( hex[,c(1)] >= 0.210811684683 )) ), c(1)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( ( hex[,c(1)] >= 0.210811684683 )) ), c(2)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data train", complexFilterTest_train_146(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_train_186.R b/R/tests/testdir_autoGen/runit_complexFilterTest_train_186.R new file mode 100644 index 0000000000..d60a74de9f --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_train_186.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_train_186 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '!=', '|', '<', '|', '>=']> ") + Log.info("Uploading train") + hex <- h2o.uploadFile(conn, "../../smalldata/chess/chess_1x2x1000/h2o/train.csv", "rtrain.hex") + Log.info("Performing compound task !( ( hex[,c(\"x\")] != 0.626874119976 ) | ( hex[,c(\"x\")] < 0.670158095498 ) | ( ( hex[,c(\"y\")] >= 1.9040609854 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c("x")] != 0.626874119976 ) | ( hex[,c("x")] < 0.670158095498 ) | ( ( hex[,c("y")] >= 1.9040609854 )) ),] + Log.info("Performing compound task !( ( hex[,c(\"x\")] != 0.0941488916652 ) | ( hex[,c(\"x\")] < 0.211736522803 ) | ( ( hex[,c(\"y\")] >= 0.352217296231 )) ) on dataset train, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("x")] != 0.0941488916652 ) | ( hex[,c("x")] < 0.211736522803 ) | ( ( hex[,c("y")] >= 0.352217296231 )) ), c("x","y")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("x")] != 0.0941488916652 ) | ( hex[,c("x")] < 0.211736522803 ) | ( ( hex[,c("y")] >= 0.352217296231 )) ), c("color")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data train", complexFilterTest_train_186(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_train_196.R b/R/tests/testdir_autoGen/runit_complexFilterTest_train_196.R new file mode 100644 index 0000000000..ecd2009af5 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_train_196.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_train_196 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '<=', '&', '==', '|', '>', '&', '>=', '|', '!=']> ") + Log.info("Uploading train") + hex <- h2o.uploadFile(conn, "../../smalldata/chess/chess_2x2x200/R/train.csv", "rtrain.hex") + Log.info("Performing compound task !( ( hex[,c(\"y\")] <= 1.50101184665 ) & ( hex[,c(\"x\")] == 1.78957362206 ) | ( hex[,c(\"x\")] > 1.83452537219 ) & ( hex[,c(\"y\")] >= 1.19463979766 ) | ( ( hex[,c(\"x\")] != 1.42912204918 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c("y")] <= 1.50101184665 ) & ( hex[,c("x")] == 1.78957362206 ) | ( hex[,c("x")] > 1.83452537219 ) & ( hex[,c("y")] >= 1.19463979766 ) | ( ( hex[,c("x")] != 1.42912204918 )) ),] + Log.info("Performing compound task !( ( hex[,c(\"x\")] <= 0.0618799679722 ) & ( hex[,c(\"x\")] == 1.48372467679 ) | ( hex[,c(\"y\")] > 0.0486500001026 ) & ( hex[,c(\"y\")] >= 0.298626340582 ) | ( ( hex[,c(\"x\")] != 0.651887711707 )) ) on dataset train, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("x")] <= 0.0618799679722 ) & ( hex[,c("x")] == 1.48372467679 ) | ( hex[,c("y")] > 0.0486500001026 ) & ( hex[,c("y")] >= 0.298626340582 ) | ( ( hex[,c("x")] != 0.651887711707 )) ), c("x","y")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("x")] <= 0.0618799679722 ) & ( hex[,c("x")] == 1.48372467679 ) | ( hex[,c("y")] > 0.0486500001026 ) & ( hex[,c("y")] >= 0.298626340582 ) | ( ( hex[,c("x")] != 0.651887711707 )) ), c("color")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data train", complexFilterTest_train_196(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_train_203.R b/R/tests/testdir_autoGen/runit_complexFilterTest_train_203.R new file mode 100644 index 0000000000..00da8a06fb --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_train_203.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_train_203 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '<=', '&', '==', '|', '>', '&', '>=', '|', '!=']> ") + Log.info("Uploading train") + hex <- h2o.uploadFile(conn, "../../smalldata/mnist/train.csv.gz", "rtrain.hex") + Log.info("Performing compound task !( ( hex[,c(55)] <= 0.0 ) & ( hex[,c(389)] == 181.441764133 ) | ( hex[,c(675)] > 84.5271080094 ) & ( hex[,c(5)] >= 0.0 ) | ( ( hex[,c(578)] != 15.28591502 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c(55)] <= 0.0 ) & ( hex[,c(389)] == 181.441764133 ) | ( hex[,c(675)] > 84.5271080094 ) & ( hex[,c(5)] >= 0.0 ) | ( ( hex[,c(578)] != 15.28591502 )) ),] + Log.info("Performing compound task !( ( hex[,c(369)] <= 87.1192057906 ) & ( hex[,c(390)] == 41.729884641 ) | ( hex[,c(638)] > 149.170101485 ) & ( hex[,c(159)] >= 244.743320854 ) | ( ( hex[,c(526)] != 34.5021783057 )) ) on dataset train, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c(369)] <= 87.1192057906 ) & ( hex[,c(390)] == 41.729884641 ) | ( hex[,c(638)] > 149.170101485 ) & ( hex[,c(159)] >= 244.743320854 ) | ( ( hex[,c(526)] != 34.5021783057 )) ), c(668,159,311,333,390,65,113,176,83,80,98,694,657,699,526,429,183,346,735,369,717,348,197,658,143,141,638,447,563,713,778,710,366,108,165,589,106,482,12,15,121,502,34,534,500,279,373,686)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c(369)] <= 87.1192057906 ) & ( hex[,c(390)] == 41.729884641 ) | ( hex[,c(638)] > 149.170101485 ) & ( hex[,c(159)] >= 244.743320854 ) | ( ( hex[,c(526)] != 34.5021783057 )) ), c(344,347,340,341,342,343,349,719,718,716,715,714,712,711,606,594,619,298,299,296,297,294,295,292,293,290,291,591,590,593,592,199,198,597,596,195,194,196,191,190,193,192,270,271,272,273,274,275,276,277,278,738,524,525,527,520,521,522,523,528,529,449,448,443,442,441,440,446,445,444,109,102,103,100,101,107,104,105,39,38,33,32,31,30,37,36,35,641,640,643,642,645,644,438,439,436,437,434,435,432,433,430,431,339,338,335,334,337,336,331,330,332,744,745,345,748,6,99,91,90,93,92,95,94,97,96,740,741,742,743,559,558,746,747,555,554,557,556,551,550,553,552,238,239,234,235,236,237,230,231,232,233,1,614,146,147,144,145,142,140,612,613,610,611,616,617,148,149,768,689,688,685,684,687,681,680,683,682,623,622,133,132,131,130,137,136,135,134,494,495,139,138,490,491,492,493,24,25,26,27,20,21,22,23,28,29,407,406,405,404,403,402,401,400,629,409,408,628,758,379,378,371,370,372,375,374,377,376,708,709,704,705,706,707,700,618,702,703,393,392,88,89,397,396,395,394,82,399,81,86,87,84,85,7,601,607,586,587,584,585,582,583,580,581,588,245,244,247,246,241,240,243,242,615,249,248,519,518,511,510,513,512,515,514,517,516,458,459,621,620,627,626,625,624,450,451,452,453,454,455,456,457,179,178,177,595,175,174,173,172,171,170,656,654,253,182,599,180,181,186,187,184,185,652,188,189,653,650,651,764,11,10,13,14,17,16,19,18,659,753,752,62,756,322,323,320,321,326,327,324,325,328,329,759,201,200,203,202,205,204,207,206,209,208,779,77,76,75,74,73,72,71,70,655,79,78,2,669,667,666,665,664,663,662,661,660,769,692,693,690,691,696,697,695,698,542,543,540,541,546,547,544,545,8,548,549,68,598,120,122,123,124,125,126,127,128,129,765,414,415,416,417,410,411,412,413,498,418,419,776,499,319,318,313,312,310,317,316,315,314,496,497,3,368,367,364,365,362,363,360,361,380,381,382,383,384,385,386,387,388,389,784,780,781,782,783,605,579,578,604,573,572,571,570,577,576,575,574,60,61,258,259,64,66,67,252,69,250,251,256,257,254,255,603,602,731,730,733,732,734,508,509,506,507,504,505,503,501,630,631,632,633,469,468,636,637,465,464,467,466,461,460,463,462,168,169,164,166,167,160,161,162,163,600,9,647,646,649,648,357,356,355,354,353,352,351,350,359,358,216,217,214,215,212,213,210,211,762,763,760,761,766,767,218,219,289,288,4,281,280,283,282,285,284,287,286,678,679,674,675,676,677,670,671,672,673,263,262,261,260,267,266,265,264,269,268,701,59,58,55,54,57,56,51,50,53,52,537,536,535,63,533,532,531,530,539,538,775,774,777,115,114,117,116,111,110,112,771,119,118,770,773,772,428,421,420,423,422,425,424,427,426,308,309,300,301,302,303,304,305,306,307,568,569,751,750,757,737,755,754,560,561,562,736,564,565,566,567,739,229,228,227,226,225,224,223,222,221,220,391,726,727,724,725,722,723,720,721,728,729,151,150,153,152,155,154,157,156,158,609,608,634,635,749,398,48,49,46,47,44,45,42,43,40,41,5,639,489,488,487,486,485,484,483,481,480,472,473,470,471,476,477,474,475,478,479)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data train", complexFilterTest_train_203(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_train_207.R b/R/tests/testdir_autoGen/runit_complexFilterTest_train_207.R new file mode 100644 index 0000000000..e2d7635e79 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_train_207.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_train_207 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '<=', '&', '==', '|', '>', '&', '>=', '|', '!=']> ") + Log.info("Uploading train") + hex <- h2o.uploadFile(conn, "../../smalldata/chess/chess_2x2x1000/h2o/train.csv", "rtrain.hex") + Log.info("Performing compound task !( ( hex[,c(\"y\")] <= 0.119615994243 ) & ( hex[,c(\"y\")] == 0.156483127375 ) | ( hex[,c(\"x\")] > 0.800517901687 ) & ( hex[,c(\"y\")] >= 1.44730209842 ) | ( ( hex[,c(\"x\")] != 1.86427164575 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c("y")] <= 0.119615994243 ) & ( hex[,c("y")] == 0.156483127375 ) | ( hex[,c("x")] > 0.800517901687 ) & ( hex[,c("y")] >= 1.44730209842 ) | ( ( hex[,c("x")] != 1.86427164575 )) ),] + Log.info("Performing compound task !( ( hex[,c(\"x\")] <= 1.31869496154 ) & ( hex[,c(\"y\")] == 0.227208594885 ) | ( hex[,c(\"x\")] > 0.80951679584 ) & ( hex[,c(\"y\")] >= 1.03680299576 ) | ( ( hex[,c(\"x\")] != 1.44606716726 )) ) on dataset train, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("x")] <= 1.31869496154 ) & ( hex[,c("y")] == 0.227208594885 ) | ( hex[,c("x")] > 0.80951679584 ) & ( hex[,c("y")] >= 1.03680299576 ) | ( ( hex[,c("x")] != 1.44606716726 )) ), c("x","y")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("x")] <= 1.31869496154 ) & ( hex[,c("y")] == 0.227208594885 ) | ( hex[,c("x")] > 0.80951679584 ) & ( hex[,c("y")] >= 1.03680299576 ) | ( ( hex[,c("x")] != 1.44606716726 )) ), c("color")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data train", complexFilterTest_train_207(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_train_208.R b/R/tests/testdir_autoGen/runit_complexFilterTest_train_208.R new file mode 100644 index 0000000000..5b9a158d74 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_train_208.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_train_208 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '<=', '&', '==', '|', '>', '&', '>=', '|', '!=']> ") + Log.info("Uploading train") + hex <- h2o.uploadFile(conn, "../../smalldata/chess/chess_2x2x200/h2o/train.csv", "rtrain.hex") + Log.info("Performing compound task !( ( hex[,c(\"y\")] <= 1.40330696285 ) & ( hex[,c(\"y\")] == 0.290648760206 ) | ( hex[,c(\"x\")] > 0.855773777238 ) & ( hex[,c(\"y\")] >= 0.700345323361 ) | ( ( hex[,c(\"x\")] != 1.39821038421 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c("y")] <= 1.40330696285 ) & ( hex[,c("y")] == 0.290648760206 ) | ( hex[,c("x")] > 0.855773777238 ) & ( hex[,c("y")] >= 0.700345323361 ) | ( ( hex[,c("x")] != 1.39821038421 )) ),] + Log.info("Performing compound task !( ( hex[,c(\"y\")] <= 1.4298015235 ) & ( hex[,c(\"x\")] == 0.606492871274 ) | ( hex[,c(\"y\")] > 0.664048354534 ) & ( hex[,c(\"x\")] >= 0.495174145717 ) | ( ( hex[,c(\"y\")] != 1.22950865112 )) ) on dataset train, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("y")] <= 1.4298015235 ) & ( hex[,c("x")] == 0.606492871274 ) | ( hex[,c("y")] > 0.664048354534 ) & ( hex[,c("x")] >= 0.495174145717 ) | ( ( hex[,c("y")] != 1.22950865112 )) ), c("x","y")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("y")] <= 1.4298015235 ) & ( hex[,c("x")] == 0.606492871274 ) | ( hex[,c("y")] > 0.664048354534 ) & ( hex[,c("x")] >= 0.495174145717 ) | ( ( hex[,c("y")] != 1.22950865112 )) ), c("color")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data train", complexFilterTest_train_208(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_complexFilterTest_wonkysummary_180.R b/R/tests/testdir_autoGen/runit_complexFilterTest_wonkysummary_180.R new file mode 100644 index 0000000000..d72f0c8914 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_complexFilterTest_wonkysummary_180.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + complexFilterTest_wonkysummary_180 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <['!', '!=', '|', '<', '|', '>=']> ") + Log.info("Uploading wonkysummary") + hex <- h2o.uploadFile(conn, "../../smalldata/wonkysummary.csv", "rwonkysummary.hex") + Log.info("Performing compound task !( ( hex[,c(\"X1\")] != 185940.989312 ) | ( hex[,c(\"DV\")] < 3602805.75695 ) | ( ( hex[,c(\"DV\")] >= 18445621.3713 )) ) on dataset ") + filterHex <- hex[!( ( hex[,c("X1")] != 185940.989312 ) | ( hex[,c("DV")] < 3602805.75695 ) | ( ( hex[,c("DV")] >= 18445621.3713 )) ),] + Log.info("Performing compound task !( ( hex[,c(\"X1\")] != 453846.453621 ) | ( hex[,c(\"DV\")] < 5327786.47529 ) | ( ( hex[,c(\"DV\")] >= 36101157.0842 )) ) on dataset wonkysummary, and also subsetting columns.") + filterHex <- hex[!( ( hex[,c("X1")] != 453846.453621 ) | ( hex[,c("DV")] < 5327786.47529 ) | ( ( hex[,c("DV")] >= 36101157.0842 )) ), c("Error","DV","X1")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[!( ( hex[,c("X1")] != 453846.453621 ) | ( hex[,c("DV")] < 5327786.47529 ) | ( ( hex[,c("DV")] >= 36101157.0842 )) ), c(1)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("compoundFilterTest_ on data wonkysummary", complexFilterTest_wonkysummary_180(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_simpleFilterTest_AirlinesTrain_96.R b/R/tests/testdir_autoGen/runit_simpleFilterTest_AirlinesTrain_96.R new file mode 100644 index 0000000000..faca3f6b8e --- /dev/null +++ b/R/tests/testdir_autoGen/runit_simpleFilterTest_AirlinesTrain_96.R @@ -0,0 +1,167 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + simpleFilterTest_AirlinesTrain_96 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <>=> ") + Log.info("Uploading AirlinesTrain") + hex <- h2o.uploadFile(conn, "../../smalldata/airlines/AirlinesTrain.csv.zip", "rAirlinesTrain.hex") + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"IsDepDelayed_REC\" using value 0.686201155263") + filterHex <- hex[hex[,c("IsDepDelayed_REC")] >= 0.686201155263,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"IsDepDelayed_REC" >= 0.686201155263,] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"Distance\" using value 1835.89796705") + filterHex <- hex[hex[,c("Distance")] >= 1835.89796705,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"Distance" >= 1835.89796705,] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"IsDepDelayed_REC\" using value 0.916501742373") + filterHex <- hex[hex[,c("IsDepDelayed_REC")] >= 0.916501742373,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"IsDepDelayed_REC" >= 0.916501742373,] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"Distance\" using value 1549.70127415") + filterHex <- hex[hex[,c("Distance")] >= 1549.70127415,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"Distance" >= 1549.70127415,] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"Distance\" using value 1607.87558758") + filterHex <- hex[hex[,c("Distance")] >= 1607.87558758,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"Distance" >= 1607.87558758,] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"DepTime\" using value 1375.5843692") + filterHex <- hex[hex[,c("DepTime")] >= 1375.5843692,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"DepTime" >= 1375.5843692,] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"IsDepDelayed_REC\" using value 0.866734069514") + filterHex <- hex[hex[,c("IsDepDelayed_REC")] >= 0.866734069514,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"IsDepDelayed_REC" >= 0.866734069514,] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"Distance\" using value 2247.02187839") + filterHex <- hex[hex[,c("Distance")] >= 2247.02187839,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"Distance" >= 2247.02187839,] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"Distance\" using value 2323.89860912") + filterHex <- hex[hex[,c("Distance")] >= 2323.89860912,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"Distance" >= 2323.89860912,] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"DepTime\" using value 2154.66018951") + filterHex <- hex[hex[,c("DepTime")] >= 2154.66018951,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"DepTime" >= 2154.66018951,] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"Distance\" using value 1155.27251494") + filterHex <- hex[hex[,c("Distance")] >= 1155.27251494,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"Distance" >= 1155.27251494,] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"DepTime\" using value 1555.84224547") + filterHex <- hex[hex[,c("DepTime")] >= 1555.84224547,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"DepTime" >= 1555.84224547,] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"IsDepDelayed_REC\" using value -0.0990217395377") + filterHex <- hex[hex[,c("IsDepDelayed_REC")] >= -0.0990217395377,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"IsDepDelayed_REC" >= -0.0990217395377,] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"DepTime\" using value 1172.02777719") + filterHex <- hex[hex[,c("DepTime")] >= 1172.02777719,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"DepTime" >= 1172.02777719,] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"Distance\" using value 3117.85026888") + filterHex <- hex[hex[,c("Distance")] >= 3117.85026888,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"Distance" >= 3117.85026888,] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"DepTime\" using value 186.316158565") + filterHex <- hex[hex[,c("DepTime")] >= 186.316158565,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"DepTime" >= 186.316158565,] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"ArrTime\" using value 912.786048282") + filterHex <- hex[hex[,c("ArrTime")] >= 912.786048282,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"ArrTime" >= 912.786048282,] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"ArrTime\" using value 15.6797609927") + filterHex <- hex[hex[,c("ArrTime")] >= 15.6797609927,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"ArrTime" >= 15.6797609927,] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"DepTime\" using value 1144.52024123") + filterHex <- hex[hex[,c("DepTime")] >= 1144.52024123,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"DepTime" >= 1144.52024123,] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"DepTime\" using value 1282.65486736, and also subsetting columns.") + filterHex <- hex[hex[,c("DepTime")] >= 1282.65486736, c("DepTime")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("DepTime")] >= 1282.65486736, c("Distance","IsDepDelayed_REC","DepTime","Origin","fDayofMonth","fMonth","fDayOfWeek","IsDepDelayed","fYear","Dest","UniqueCarrier","ArrTime")] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"IsDepDelayed_REC\" using value -0.532788454307, and also subsetting columns.") + filterHex <- hex[hex[,c("IsDepDelayed_REC")] >= -0.532788454307, c("IsDepDelayed_REC")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("IsDepDelayed_REC")] >= -0.532788454307, c("Distance","IsDepDelayed_REC","DepTime","Origin","fDayofMonth","fMonth","fDayOfWeek","IsDepDelayed","fYear","Dest","UniqueCarrier","ArrTime")] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"Distance\" using value 2336.55893497, and also subsetting columns.") + filterHex <- hex[hex[,c("Distance")] >= 2336.55893497, c("Distance")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("Distance")] >= 2336.55893497, c("Distance","IsDepDelayed_REC","DepTime","Origin","fDayofMonth","fMonth","fDayOfWeek","IsDepDelayed","fYear","Dest","UniqueCarrier","ArrTime")] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"ArrTime\" using value 491.924668734, and also subsetting columns.") + filterHex <- hex[hex[,c("ArrTime")] >= 491.924668734, c("ArrTime")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("ArrTime")] >= 491.924668734, c("Distance","IsDepDelayed_REC","DepTime","Origin","fDayofMonth","fMonth","fDayOfWeek","IsDepDelayed","fYear","Dest","UniqueCarrier","ArrTime")] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"Distance\" using value 1073.23822601, and also subsetting columns.") + filterHex <- hex[hex[,c("Distance")] >= 1073.23822601, c("Distance")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("Distance")] >= 1073.23822601, c("Distance","IsDepDelayed_REC","DepTime","Origin","fDayofMonth","fMonth","fDayOfWeek","IsDepDelayed","fYear","Dest","UniqueCarrier","ArrTime")] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"IsDepDelayed_REC\" using value 0.674047993605, and also subsetting columns.") + filterHex <- hex[hex[,c("IsDepDelayed_REC")] >= 0.674047993605, c("IsDepDelayed_REC")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("IsDepDelayed_REC")] >= 0.674047993605, c("Distance","IsDepDelayed_REC","DepTime","Origin","fDayofMonth","fMonth","fDayOfWeek","IsDepDelayed","fYear","Dest","UniqueCarrier","ArrTime")] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"Distance\" using value 890.088168088, and also subsetting columns.") + filterHex <- hex[hex[,c("Distance")] >= 890.088168088, c("Distance")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("Distance")] >= 890.088168088, c("Distance","IsDepDelayed_REC","DepTime","Origin","fDayofMonth","fMonth","fDayOfWeek","IsDepDelayed","fYear","Dest","UniqueCarrier","ArrTime")] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"ArrTime\" using value 2029.2623551, and also subsetting columns.") + filterHex <- hex[hex[,c("ArrTime")] >= 2029.2623551, c("ArrTime")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("ArrTime")] >= 2029.2623551, c("Distance","IsDepDelayed_REC","DepTime","Origin","fDayofMonth","fMonth","fDayOfWeek","IsDepDelayed","fYear","Dest","UniqueCarrier","ArrTime")] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"IsDepDelayed_REC\" using value 0.626376531096, and also subsetting columns.") + filterHex <- hex[hex[,c("IsDepDelayed_REC")] >= 0.626376531096, c("IsDepDelayed_REC")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("IsDepDelayed_REC")] >= 0.626376531096, c("Distance","IsDepDelayed_REC","DepTime","Origin","fDayofMonth","fMonth","fDayOfWeek","IsDepDelayed","fYear","Dest","UniqueCarrier","ArrTime")] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"IsDepDelayed_REC\" using value 0.896435602762, and also subsetting columns.") + filterHex <- hex[hex[,c("IsDepDelayed_REC")] >= 0.896435602762, c("IsDepDelayed_REC")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("IsDepDelayed_REC")] >= 0.896435602762, c("Distance","IsDepDelayed_REC","DepTime","Origin","fDayofMonth","fMonth","fDayOfWeek","IsDepDelayed","fYear","Dest","UniqueCarrier","ArrTime")] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"ArrTime\" using value 27.273762546, and also subsetting columns.") + filterHex <- hex[hex[,c("ArrTime")] >= 27.273762546, c("ArrTime")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("ArrTime")] >= 27.273762546, c("Distance","IsDepDelayed_REC","DepTime","Origin","fDayofMonth","fMonth","fDayOfWeek","IsDepDelayed","fYear","Dest","UniqueCarrier","ArrTime")] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"IsDepDelayed_REC\" using value -0.416084859673, and also subsetting columns.") + filterHex <- hex[hex[,c("IsDepDelayed_REC")] >= -0.416084859673, c("IsDepDelayed_REC")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("IsDepDelayed_REC")] >= -0.416084859673, c("Distance","IsDepDelayed_REC","DepTime","Origin","fDayofMonth","fMonth","fDayOfWeek","IsDepDelayed","fYear","Dest","UniqueCarrier","ArrTime")] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"ArrTime\" using value 19.6793962957, and also subsetting columns.") + filterHex <- hex[hex[,c("ArrTime")] >= 19.6793962957, c("ArrTime")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("ArrTime")] >= 19.6793962957, c("Distance","IsDepDelayed_REC","DepTime","Origin","fDayofMonth","fMonth","fDayOfWeek","IsDepDelayed","fYear","Dest","UniqueCarrier","ArrTime")] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"Distance\" using value 3319.03691538, and also subsetting columns.") + filterHex <- hex[hex[,c("Distance")] >= 3319.03691538, c("Distance")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("Distance")] >= 3319.03691538, c("Distance","IsDepDelayed_REC","DepTime","Origin","fDayofMonth","fMonth","fDayOfWeek","IsDepDelayed","fYear","Dest","UniqueCarrier","ArrTime")] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"IsDepDelayed_REC\" using value -0.738121522733, and also subsetting columns.") + filterHex <- hex[hex[,c("IsDepDelayed_REC")] >= -0.738121522733, c("IsDepDelayed_REC")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("IsDepDelayed_REC")] >= -0.738121522733, c("Distance","IsDepDelayed_REC","DepTime","Origin","fDayofMonth","fMonth","fDayOfWeek","IsDepDelayed","fYear","Dest","UniqueCarrier","ArrTime")] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"ArrTime\" using value 563.167192794, and also subsetting columns.") + filterHex <- hex[hex[,c("ArrTime")] >= 563.167192794, c("ArrTime")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("ArrTime")] >= 563.167192794, c("Distance","IsDepDelayed_REC","DepTime","Origin","fDayofMonth","fMonth","fDayOfWeek","IsDepDelayed","fYear","Dest","UniqueCarrier","ArrTime")] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"DepTime\" using value 2255.02268314, and also subsetting columns.") + filterHex <- hex[hex[,c("DepTime")] >= 2255.02268314, c("DepTime")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("DepTime")] >= 2255.02268314, c("Distance","IsDepDelayed_REC","DepTime","Origin","fDayofMonth","fMonth","fDayOfWeek","IsDepDelayed","fYear","Dest","UniqueCarrier","ArrTime")] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"ArrTime\" using value 1318.50795866, and also subsetting columns.") + filterHex <- hex[hex[,c("ArrTime")] >= 1318.50795866, c("ArrTime")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("ArrTime")] >= 1318.50795866, c("Distance","IsDepDelayed_REC","DepTime","Origin","fDayofMonth","fMonth","fDayOfWeek","IsDepDelayed","fYear","Dest","UniqueCarrier","ArrTime")] + Log.info("Filtering out rows by >= from dataset AirlinesTrain and column \"DepTime\" using value 756.879579988, and also subsetting columns.") + filterHex <- hex[hex[,c("DepTime")] >= 756.879579988, c("DepTime")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("DepTime")] >= 756.879579988, c("Distance","IsDepDelayed_REC","DepTime","Origin","fDayofMonth","fMonth","fDayOfWeek","IsDepDelayed","fYear","Dest","UniqueCarrier","ArrTime")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("simpleFilterTest_ on data AirlinesTrain", simpleFilterTest_AirlinesTrain_96(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_simpleFilterTest_Goalies_90.R b/R/tests/testdir_autoGen/runit_simpleFilterTest_Goalies_90.R new file mode 100644 index 0000000000..f19888b298 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_simpleFilterTest_Goalies_90.R @@ -0,0 +1,295 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + simpleFilterTest_Goalies_90 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <>=> ") + Log.info("Uploading Goalies") + hex <- h2o.uploadFile(conn, "../../smalldata/poisson/Goalies.csv", "rGoalies.hex") + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostL\" using value 1.64414012543") + filterHex <- hex[hex[,c("PostL")] >= 1.64414012543,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"PostL" >= 1.64414012543,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostW\" using value 15.2679986637") + filterHex <- hex[hex[,c("PostW")] >= 15.2679986637,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"PostW" >= 15.2679986637,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostSA\" using value 484.63250254") + filterHex <- hex[hex[,c("PostSA")] >= 484.63250254,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"PostSA" >= 484.63250254,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostL\" using value 4.36776000909") + filterHex <- hex[hex[,c("PostL")] >= 4.36776000909,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"PostL" >= 4.36776000909,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"SA\" using value 523.188171268") + filterHex <- hex[hex[,c("SA")] >= 523.188171268,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"SA" >= 523.188171268,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"W\" using value 36.623528052") + filterHex <- hex[hex[,c("W")] >= 36.623528052,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"W" >= 36.623528052,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostGA\" using value 57.5987053393") + filterHex <- hex[hex[,c("PostGA")] >= 57.5987053393,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"PostGA" >= 57.5987053393,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"Min\" using value 2386.44245461") + filterHex <- hex[hex[,c("Min")] >= 2386.44245461,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"Min" >= 2386.44245461,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"SHO\" using value 14.8526786375") + filterHex <- hex[hex[,c("SHO")] >= 14.8526786375,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"SHO" >= 14.8526786375,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostSA\" using value 421.974973738") + filterHex <- hex[hex[,c("PostSA")] >= 421.974973738,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"PostSA" >= 421.974973738,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostT\" using value 0.245846136673") + filterHex <- hex[hex[,c("PostT")] >= 0.245846136673,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"PostT" >= 0.245846136673,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostL\" using value 8.15638705702") + filterHex <- hex[hex[,c("PostL")] >= 8.15638705702,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"PostL" >= 8.15638705702,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"GA\" using value 249.801461562") + filterHex <- hex[hex[,c("GA")] >= 249.801461562,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"GA" >= 249.801461562,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"Min\" using value 120.29815368") + filterHex <- hex[hex[,c("Min")] >= 120.29815368,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"Min" >= 120.29815368,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"T/OL\" using value 3.91719226882") + filterHex <- hex[hex[,c("T/OL")] >= 3.91719226882,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"T/OL" >= 3.91719226882,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostW\" using value 1.13546284258") + filterHex <- hex[hex[,c("PostW")] >= 1.13546284258,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"PostW" >= 1.13546284258,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"GP\" using value 78.7347783192") + filterHex <- hex[hex[,c("GP")] >= 78.7347783192,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"GP" >= 78.7347783192,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostMin\" using value 131.289618428") + filterHex <- hex[hex[,c("PostMin")] >= 131.289618428,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"PostMin" >= 131.289618428,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"GA\" using value 153.434260751") + filterHex <- hex[hex[,c("GA")] >= 153.434260751,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"GA" >= 153.434260751,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostSHO\" using value 6.33707833176") + filterHex <- hex[hex[,c("PostSHO")] >= 6.33707833176,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"PostSHO" >= 6.33707833176,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostSA\" using value 506.175325958") + filterHex <- hex[hex[,c("PostSA")] >= 506.175325958,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"PostSA" >= 506.175325958,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"ENG\" using value 0.842882936398") + filterHex <- hex[hex[,c("ENG")] >= 0.842882936398,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"ENG" >= 0.842882936398,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"year\" using value 1959.38575294") + filterHex <- hex[hex[,c("year")] >= 1959.38575294,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"year" >= 1959.38575294,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostW\" using value 9.33484370718") + filterHex <- hex[hex[,c("PostW")] >= 9.33484370718,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"PostW" >= 9.33484370718,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"ENG\" using value 10.4540076066") + filterHex <- hex[hex[,c("ENG")] >= 10.4540076066,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"ENG" >= 10.4540076066,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostMin\" using value 368.288584562") + filterHex <- hex[hex[,c("PostMin")] >= 368.288584562,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"PostMin" >= 368.288584562,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"GP\" using value 23.5185328465") + filterHex <- hex[hex[,c("GP")] >= 23.5185328465,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"GP" >= 23.5185328465,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostENG\" using value 0.690970492267") + filterHex <- hex[hex[,c("PostENG")] >= 0.690970492267,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"PostENG" >= 0.690970492267,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostENG\" using value 2.0120319766") + filterHex <- hex[hex[,c("PostENG")] >= 2.0120319766,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"PostENG" >= 2.0120319766,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"SA\" using value 988.1244229") + filterHex <- hex[hex[,c("SA")] >= 988.1244229,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"SA" >= 988.1244229,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostMin\" using value 1233.24696828") + filterHex <- hex[hex[,c("PostMin")] >= 1233.24696828,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"PostMin" >= 1233.24696828,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"T/OL\" using value 1.88148829296") + filterHex <- hex[hex[,c("T/OL")] >= 1.88148829296,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"T/OL" >= 1.88148829296,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostSHO\" using value 6.55758495318") + filterHex <- hex[hex[,c("PostSHO")] >= 6.55758495318,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"PostSHO" >= 6.55758495318,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostSA\" using value 557.370014104") + filterHex <- hex[hex[,c("PostSA")] >= 557.370014104,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"PostSA" >= 557.370014104,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostENG\" using value 0.453979002788") + filterHex <- hex[hex[,c("PostENG")] >= 0.453979002788,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"PostENG" >= 0.453979002788,] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostT\" using value 3.85632148848, and also subsetting columns.") + filterHex <- hex[hex[,c("PostT")] >= 3.85632148848, c("PostT")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("PostT")] >= 3.85632148848, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"GP\" using value 6.31457631913, and also subsetting columns.") + filterHex <- hex[hex[,c("GP")] >= 6.31457631913, c("GP")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("GP")] >= 6.31457631913, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostENG\" using value 4.76928799335, and also subsetting columns.") + filterHex <- hex[hex[,c("PostENG")] >= 4.76928799335, c("PostENG")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("PostENG")] >= 4.76928799335, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"GP\" using value 78.3920735507, and also subsetting columns.") + filterHex <- hex[hex[,c("GP")] >= 78.3920735507, c("GP")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("GP")] >= 78.3920735507, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostW\" using value 11.1547436864, and also subsetting columns.") + filterHex <- hex[hex[,c("PostW")] >= 11.1547436864, c("PostW")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("PostW")] >= 11.1547436864, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostL\" using value 7.46400914194, and also subsetting columns.") + filterHex <- hex[hex[,c("PostL")] >= 7.46400914194, c("PostL")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("PostL")] >= 7.46400914194, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostSA\" using value 389.743260743, and also subsetting columns.") + filterHex <- hex[hex[,c("PostSA")] >= 389.743260743, c("PostSA")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("PostSA")] >= 389.743260743, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"L\" using value 25.4075123221, and also subsetting columns.") + filterHex <- hex[hex[,c("L")] >= 25.4075123221, c("L")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("L")] >= 25.4075123221, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostGP\" using value 6.41711536346, and also subsetting columns.") + filterHex <- hex[hex[,c("PostGP")] >= 6.41711536346, c("PostGP")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("PostGP")] >= 6.41711536346, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostW\" using value 1.72422936482, and also subsetting columns.") + filterHex <- hex[hex[,c("PostW")] >= 1.72422936482, c("PostW")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("PostW")] >= 1.72422936482, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"W\" using value 39.2905949131, and also subsetting columns.") + filterHex <- hex[hex[,c("W")] >= 39.2905949131, c("W")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("W")] >= 39.2905949131, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostENG\" using value 3.23975828188, and also subsetting columns.") + filterHex <- hex[hex[,c("PostENG")] >= 3.23975828188, c("PostENG")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("PostENG")] >= 3.23975828188, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostSHO\" using value 5.7547865247, and also subsetting columns.") + filterHex <- hex[hex[,c("PostSHO")] >= 5.7547865247, c("PostSHO")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("PostSHO")] >= 5.7547865247, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostT\" using value 1.91373816553, and also subsetting columns.") + filterHex <- hex[hex[,c("PostT")] >= 1.91373816553, c("PostT")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("PostT")] >= 1.91373816553, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostL\" using value 9.50304962993, and also subsetting columns.") + filterHex <- hex[hex[,c("PostL")] >= 9.50304962993, c("PostL")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("PostL")] >= 9.50304962993, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostGP\" using value 22.8446710274, and also subsetting columns.") + filterHex <- hex[hex[,c("PostGP")] >= 22.8446710274, c("PostGP")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("PostGP")] >= 22.8446710274, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostMin\" using value 727.444247208, and also subsetting columns.") + filterHex <- hex[hex[,c("PostMin")] >= 727.444247208, c("PostMin")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("PostMin")] >= 727.444247208, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"GA\" using value 251.743858874, and also subsetting columns.") + filterHex <- hex[hex[,c("GA")] >= 251.743858874, c("GA")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("GA")] >= 251.743858874, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"SHO\" using value 7.19462579626, and also subsetting columns.") + filterHex <- hex[hex[,c("SHO")] >= 7.19462579626, c("SHO")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("SHO")] >= 7.19462579626, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostW\" using value 7.89404887247, and also subsetting columns.") + filterHex <- hex[hex[,c("PostW")] >= 7.89404887247, c("PostW")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("PostW")] >= 7.89404887247, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"T/OL\" using value 5.88019773161, and also subsetting columns.") + filterHex <- hex[hex[,c("T/OL")] >= 5.88019773161, c("T/OL")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("T/OL")] >= 5.88019773161, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"L\" using value 36.9177214586, and also subsetting columns.") + filterHex <- hex[hex[,c("L")] >= 36.9177214586, c("L")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("L")] >= 36.9177214586, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostSHO\" using value 6.25003053759, and also subsetting columns.") + filterHex <- hex[hex[,c("PostSHO")] >= 6.25003053759, c("PostSHO")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("PostSHO")] >= 6.25003053759, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostT\" using value 0.76202695229, and also subsetting columns.") + filterHex <- hex[hex[,c("PostT")] >= 0.76202695229, c("PostT")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("PostT")] >= 0.76202695229, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"GP\" using value 74.6005652297, and also subsetting columns.") + filterHex <- hex[hex[,c("GP")] >= 74.6005652297, c("GP")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("GP")] >= 74.6005652297, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostMin\" using value 704.694599899, and also subsetting columns.") + filterHex <- hex[hex[,c("PostMin")] >= 704.694599899, c("PostMin")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("PostMin")] >= 704.694599899, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"GA\" using value 148.037539938, and also subsetting columns.") + filterHex <- hex[hex[,c("GA")] >= 148.037539938, c("GA")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("GA")] >= 148.037539938, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostSHO\" using value 5.32077761708, and also subsetting columns.") + filterHex <- hex[hex[,c("PostSHO")] >= 5.32077761708, c("PostSHO")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("PostSHO")] >= 5.32077761708, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"year\" using value 1986.08228994, and also subsetting columns.") + filterHex <- hex[hex[,c("year")] >= 1986.08228994, c("year")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("year")] >= 1986.08228994, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostMin\" using value 1411.80451707, and also subsetting columns.") + filterHex <- hex[hex[,c("PostMin")] >= 1411.80451707, c("PostMin")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("PostMin")] >= 1411.80451707, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"ENG\" using value 9.82883904634, and also subsetting columns.") + filterHex <- hex[hex[,c("ENG")] >= 9.82883904634, c("ENG")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("ENG")] >= 9.82883904634, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostGA\" using value 21.5071017838, and also subsetting columns.") + filterHex <- hex[hex[,c("PostGA")] >= 21.5071017838, c("PostGA")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("PostGA")] >= 21.5071017838, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostENG\" using value 0.236065476683, and also subsetting columns.") + filterHex <- hex[hex[,c("PostENG")] >= 0.236065476683, c("PostENG")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("PostENG")] >= 0.236065476683, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"T/OL\" using value 4.33272245866, and also subsetting columns.") + filterHex <- hex[hex[,c("T/OL")] >= 4.33272245866, c("T/OL")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("T/OL")] >= 4.33272245866, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + Log.info("Filtering out rows by >= from dataset Goalies and column \"PostT\" using value 0.818878582431, and also subsetting columns.") + filterHex <- hex[hex[,c("PostT")] >= 0.818878582431, c("PostT")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("PostT")] >= 0.818878582431, c("tmID","GA","lgID","PostW","PostSA","playerID","year","ENG","PostSHO","GP","PostT","T/OL","PostGP","PostENG","PostL","L","Min","stint","PostMin","W","SHO","SA","PostGA")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("simpleFilterTest_ on data Goalies", simpleFilterTest_Goalies_90(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_simpleFilterTest_chdage_84.R b/R/tests/testdir_autoGen/runit_simpleFilterTest_chdage_84.R new file mode 100644 index 0000000000..e6eb301338 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_simpleFilterTest_chdage_84.R @@ -0,0 +1,23 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + simpleFilterTest_chdage_84 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <>=> ") + Log.info("Uploading chdage") + hex <- h2o.uploadFile(conn, "../../smalldata/logreg/umass_statdata/chdage.dat", "rchdage.hex") + Log.info("Filtering out rows by >= from dataset chdage and column \"ID\" using value 28.5508857915") + filterHex <- hex[hex[,c("ID")] >= 28.5508857915,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"ID" >= 28.5508857915,] + Log.info("Filtering out rows by >= from dataset chdage and column \"AGE\" using value 57.7517418123, and also subsetting columns.") + filterHex <- hex[hex[,c("AGE")] >= 57.7517418123, c("AGE")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("AGE")] >= 57.7517418123, c("CHD","ID","AGE")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("simpleFilterTest_ on data chdage", simpleFilterTest_chdage_84(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_simpleFilterTest_covtype_89.R b/R/tests/testdir_autoGen/runit_simpleFilterTest_covtype_89.R new file mode 100644 index 0000000000..c9210f32d3 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_simpleFilterTest_covtype_89.R @@ -0,0 +1,135 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + simpleFilterTest_covtype_89 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <>=> ") + Log.info("Uploading covtype") + hex <- h2o.uploadFile(conn, "../../smalldata/covtype/covtype.20k.data", "rcovtype.hex") + Log.info("Filtering out rows by >= from dataset covtype and column \"24\" using value 0.315046488628") + filterHex <- hex[hex[,c(24)] >= 0.315046488628,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"24" >= 0.315046488628,] + Log.info("Filtering out rows by >= from dataset covtype and column \"20\" using value 0.0") + filterHex <- hex[hex[,c(20)] >= 0.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"20" >= 0.0,] + Log.info("Filtering out rows by >= from dataset covtype and column \"22\" using value 0.252602838602") + filterHex <- hex[hex[,c(22)] >= 0.252602838602,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"22" >= 0.252602838602,] + Log.info("Filtering out rows by >= from dataset covtype and column \"40\" using value 0.18082560028") + filterHex <- hex[hex[,c(40)] >= 0.18082560028,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"40" >= 0.18082560028,] + Log.info("Filtering out rows by >= from dataset covtype and column \"43\" using value 0.277785578787") + filterHex <- hex[hex[,c(43)] >= 0.277785578787,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"43" >= 0.277785578787,] + Log.info("Filtering out rows by >= from dataset covtype and column \"0\" using value 2307.33407003") + filterHex <- hex[hex[,c(1)] >= 2307.33407003,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"0" >= 2307.33407003,] + Log.info("Filtering out rows by >= from dataset covtype and column \"47\" using value 0.286138642961") + filterHex <- hex[hex[,c(47)] >= 0.286138642961,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"47" >= 0.286138642961,] + Log.info("Filtering out rows by >= from dataset covtype and column \"4\" using value 439.855692917") + filterHex <- hex[hex[,c(4)] >= 439.855692917,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"4" >= 439.855692917,] + Log.info("Filtering out rows by >= from dataset covtype and column \"15\" using value 0.311444092834") + filterHex <- hex[hex[,c(15)] >= 0.311444092834,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"15" >= 0.311444092834,] + Log.info("Filtering out rows by >= from dataset covtype and column \"38\" using value 0.548317094253") + filterHex <- hex[hex[,c(38)] >= 0.548317094253,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"38" >= 0.548317094253,] + Log.info("Filtering out rows by >= from dataset covtype and column \"45\" using value 0.416143702051") + filterHex <- hex[hex[,c(45)] >= 0.416143702051,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"45" >= 0.416143702051,] + Log.info("Filtering out rows by >= from dataset covtype and column \"19\" using value 0.633510563066") + filterHex <- hex[hex[,c(19)] >= 0.633510563066,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"19" >= 0.633510563066,] + Log.info("Filtering out rows by >= from dataset covtype and column \"5\" using value 6051.30330236") + filterHex <- hex[hex[,c(5)] >= 6051.30330236,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"5" >= 6051.30330236,] + Log.info("Filtering out rows by >= from dataset covtype and column \"17\" using value 0.202172954193") + filterHex <- hex[hex[,c(17)] >= 0.202172954193,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"17" >= 0.202172954193,] + Log.info("Filtering out rows by >= from dataset covtype and column \"14\" using value 0.82729851885") + filterHex <- hex[hex[,c(14)] >= 0.82729851885,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"14" >= 0.82729851885,] + Log.info("Filtering out rows by >= from dataset covtype and column \"7\" using value 226.362870681, and also subsetting columns.") + filterHex <- hex[hex[,c(7)] >= 226.362870681, c(7)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(7)] >= 226.362870681, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] + Log.info("Filtering out rows by >= from dataset covtype and column \"15\" using value 0.21763318075, and also subsetting columns.") + filterHex <- hex[hex[,c(15)] >= 0.21763318075, c(15)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(15)] >= 0.21763318075, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] + Log.info("Filtering out rows by >= from dataset covtype and column \"45\" using value 0.713687514714, and also subsetting columns.") + filterHex <- hex[hex[,c(45)] >= 0.713687514714, c(45)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(45)] >= 0.713687514714, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] + Log.info("Filtering out rows by >= from dataset covtype and column \"0\" using value 2573.59390004, and also subsetting columns.") + filterHex <- hex[hex[,c(1)] >= 2573.59390004, c(1)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(1)] >= 2573.59390004, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] + Log.info("Filtering out rows by >= from dataset covtype and column \"13\" using value 0.410749182065, and also subsetting columns.") + filterHex <- hex[hex[,c(13)] >= 0.410749182065, c(13)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(13)] >= 0.410749182065, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] + Log.info("Filtering out rows by >= from dataset covtype and column \"51\" using value 0.427906219282, and also subsetting columns.") + filterHex <- hex[hex[,c(51)] >= 0.427906219282, c(51)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(51)] >= 0.427906219282, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] + Log.info("Filtering out rows by >= from dataset covtype and column \"12\" using value 0.67585711964, and also subsetting columns.") + filterHex <- hex[hex[,c(12)] >= 0.67585711964, c(12)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(12)] >= 0.67585711964, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] + Log.info("Filtering out rows by >= from dataset covtype and column \"44\" using value 0.926818461651, and also subsetting columns.") + filterHex <- hex[hex[,c(44)] >= 0.926818461651, c(44)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(44)] >= 0.926818461651, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] + Log.info("Filtering out rows by >= from dataset covtype and column \"52\" using value 0.0978455546611, and also subsetting columns.") + filterHex <- hex[hex[,c(52)] >= 0.0978455546611, c(52)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(52)] >= 0.0978455546611, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] + Log.info("Filtering out rows by >= from dataset covtype and column \"13\" using value 0.146954482555, and also subsetting columns.") + filterHex <- hex[hex[,c(13)] >= 0.146954482555, c(13)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(13)] >= 0.146954482555, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] + Log.info("Filtering out rows by >= from dataset covtype and column \"2\" using value 45.1919207322, and also subsetting columns.") + filterHex <- hex[hex[,c(2)] >= 45.1919207322, c(2)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(2)] >= 45.1919207322, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] + Log.info("Filtering out rows by >= from dataset covtype and column \"48\" using value 0.372007579476, and also subsetting columns.") + filterHex <- hex[hex[,c(48)] >= 0.372007579476, c(48)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(48)] >= 0.372007579476, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] + Log.info("Filtering out rows by >= from dataset covtype and column \"24\" using value 0.057010578439, and also subsetting columns.") + filterHex <- hex[hex[,c(24)] >= 0.057010578439, c(24)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(24)] >= 0.057010578439, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] + Log.info("Filtering out rows by >= from dataset covtype and column \"3\" using value 907.053760511, and also subsetting columns.") + filterHex <- hex[hex[,c(3)] >= 907.053760511, c(3)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(3)] >= 907.053760511, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] + Log.info("Filtering out rows by >= from dataset covtype and column \"40\" using value 0.127850179058, and also subsetting columns.") + filterHex <- hex[hex[,c(40)] >= 0.127850179058, c(40)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(40)] >= 0.127850179058, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("simpleFilterTest_ on data covtype", simpleFilterTest_covtype_89(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_simpleFilterTest_datagen1_78.R b/R/tests/testdir_autoGen/runit_simpleFilterTest_datagen1_78.R new file mode 100644 index 0000000000..5259f7d5d3 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_simpleFilterTest_datagen1_78.R @@ -0,0 +1,63 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + simpleFilterTest_datagen1_78 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <>=> ") + Log.info("Uploading datagen1") + hex <- h2o.uploadFile(conn, "../../smalldata/datagen1.csv", "rdatagen1.hex") + Log.info("Filtering out rows by >= from dataset datagen1 and column \"0\" using value 819.871907413") + filterHex <- hex[hex[,c(1)] >= 819.871907413,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"0" >= 819.871907413,] + Log.info("Filtering out rows by >= from dataset datagen1 and column \"0\" using value 913.485947265") + filterHex <- hex[hex[,c(1)] >= 913.485947265,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"0" >= 913.485947265,] + Log.info("Filtering out rows by >= from dataset datagen1 and column \"0\" using value 76.8252473762") + filterHex <- hex[hex[,c(1)] >= 76.8252473762,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"0" >= 76.8252473762,] + Log.info("Filtering out rows by >= from dataset datagen1 and column \"0\" using value 734.683310748") + filterHex <- hex[hex[,c(1)] >= 734.683310748,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"0" >= 734.683310748,] + Log.info("Filtering out rows by >= from dataset datagen1 and column \"0\" using value 925.479504083") + filterHex <- hex[hex[,c(1)] >= 925.479504083,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"0" >= 925.479504083,] + Log.info("Filtering out rows by >= from dataset datagen1 and column \"0\" using value 353.686276047") + filterHex <- hex[hex[,c(1)] >= 353.686276047,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"0" >= 353.686276047,] + Log.info("Filtering out rows by >= from dataset datagen1 and column \"0\" using value 340.843007904, and also subsetting columns.") + filterHex <- hex[hex[,c(1)] >= 340.843007904, c(1)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(1)] >= 340.843007904, c(1,3,2,5,4,7,6)] + Log.info("Filtering out rows by >= from dataset datagen1 and column \"0\" using value 311.58189428, and also subsetting columns.") + filterHex <- hex[hex[,c(1)] >= 311.58189428, c(1)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(1)] >= 311.58189428, c(1,3,2,5,4,7,6)] + Log.info("Filtering out rows by >= from dataset datagen1 and column \"0\" using value 851.9952749, and also subsetting columns.") + filterHex <- hex[hex[,c(1)] >= 851.9952749, c(1)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(1)] >= 851.9952749, c(1,3,2,5,4,7,6)] + Log.info("Filtering out rows by >= from dataset datagen1 and column \"0\" using value 959.101376763, and also subsetting columns.") + filterHex <- hex[hex[,c(1)] >= 959.101376763, c(1)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(1)] >= 959.101376763, c(1,3,2,5,4,7,6)] + Log.info("Filtering out rows by >= from dataset datagen1 and column \"0\" using value 9.8779179403, and also subsetting columns.") + filterHex <- hex[hex[,c(1)] >= 9.8779179403, c(1)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(1)] >= 9.8779179403, c(1,3,2,5,4,7,6)] + Log.info("Filtering out rows by >= from dataset datagen1 and column \"0\" using value 183.602306511, and also subsetting columns.") + filterHex <- hex[hex[,c(1)] >= 183.602306511, c(1)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(1)] >= 183.602306511, c(1,3,2,5,4,7,6)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("simpleFilterTest_ on data datagen1", simpleFilterTest_datagen1_78(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_simpleFilterTest_iris22_83.R b/R/tests/testdir_autoGen/runit_simpleFilterTest_iris22_83.R new file mode 100644 index 0000000000..4d474f3383 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_simpleFilterTest_iris22_83.R @@ -0,0 +1,39 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + simpleFilterTest_iris22_83 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <>=> ") + Log.info("Uploading iris22") + hex <- h2o.uploadFile(conn, "../../smalldata/iris/iris22.csv", "riris22.hex") + Log.info("Filtering out rows by >= from dataset iris22 and column \"petal_wid\" using value 0.718574186517") + filterHex <- hex[hex[,c("petal_wid")] >= 0.718574186517,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"petal_wid" >= 0.718574186517,] + Log.info("Filtering out rows by >= from dataset iris22 and column \"petal_wid\" using value 0.355232394229") + filterHex <- hex[hex[,c("petal_wid")] >= 0.355232394229,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"petal_wid" >= 0.355232394229,] + Log.info("Filtering out rows by >= from dataset iris22 and column \"petal_wid\" using value 0.588335105635") + filterHex <- hex[hex[,c("petal_wid")] >= 0.588335105635,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"petal_wid" >= 0.588335105635,] + Log.info("Filtering out rows by >= from dataset iris22 and column \"sepal_wid\" using value 2.28709372783, and also subsetting columns.") + filterHex <- hex[hex[,c("sepal_wid")] >= 2.28709372783, c("sepal_wid")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("sepal_wid")] >= 2.28709372783, c("sepal_len","class2","petal_len","sepal_wid","class","petal_wid")] + Log.info("Filtering out rows by >= from dataset iris22 and column \"petal_len\" using value 1.29680375871, and also subsetting columns.") + filterHex <- hex[hex[,c("petal_len")] >= 1.29680375871, c("petal_len")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("petal_len")] >= 1.29680375871, c("sepal_len","class2","petal_len","sepal_wid","class","petal_wid")] + Log.info("Filtering out rows by >= from dataset iris22 and column \"sepal_wid\" using value 2.29682242064, and also subsetting columns.") + filterHex <- hex[hex[,c("sepal_wid")] >= 2.29682242064, c("sepal_wid")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("sepal_wid")] >= 2.29682242064, c("sepal_len","class2","petal_len","sepal_wid","class","petal_wid")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("simpleFilterTest_ on data iris22", simpleFilterTest_iris22_83(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_simpleFilterTest_nhanes3_80.R b/R/tests/testdir_autoGen/runit_simpleFilterTest_nhanes3_80.R new file mode 100644 index 0000000000..6718ba93b3 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_simpleFilterTest_nhanes3_80.R @@ -0,0 +1,15 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + simpleFilterTest_nhanes3_80 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <>=> ") + Log.info("Uploading nhanes3") + hex <- h2o.uploadFile(conn, "../../smalldata/logreg/umass_statdata/nhanes3.dat", "rnhanes3.hex") + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("simpleFilterTest_ on data nhanes3", simpleFilterTest_nhanes3_80(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_simpleFilterTest_parity_128_4_100_quad_91.R b/R/tests/testdir_autoGen/runit_simpleFilterTest_parity_128_4_100_quad_91.R new file mode 100644 index 0000000000..30b42253cf --- /dev/null +++ b/R/tests/testdir_autoGen/runit_simpleFilterTest_parity_128_4_100_quad_91.R @@ -0,0 +1,151 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + simpleFilterTest_parity_128_4_100_quad_91 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <>=> ") + Log.info("Uploading parity_128_4_100_quad") + hex <- h2o.uploadFile(conn, "../../smalldata/parity_128_4_100_quad.data", "rparity_128_4_100_quad.hex") + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"1\" using value 2.7119169498") + filterHex <- hex[hex[,c(1)] >= 2.7119169498,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"1" >= 2.7119169498,] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"5\" using value 0.265926209232") + filterHex <- hex[hex[,c(5)] >= 0.265926209232,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"5" >= 0.265926209232,] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"8\" using value 0.0241665760537") + filterHex <- hex[hex[,c(8)] >= 0.0241665760537,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"8" >= 0.0241665760537,] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"2\" using value 4.05175140611") + filterHex <- hex[hex[,c(2)] >= 4.05175140611,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"2" >= 4.05175140611,] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"1\" using value 3.10303285278") + filterHex <- hex[hex[,c(1)] >= 3.10303285278,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"1" >= 3.10303285278,] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"4\" using value 10.0") + filterHex <- hex[hex[,c(4)] >= 10.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"4" >= 10.0,] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"7\" using value 5.0") + filterHex <- hex[hex[,c(7)] >= 5.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"7" >= 5.0,] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"0\" using value 10.0") + filterHex <- hex[hex[,c(1)] >= 10.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"0" >= 10.0,] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"0\" using value 10.0") + filterHex <- hex[hex[,c(1)] >= 10.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"0" >= 10.0,] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"6\" using value 1.29114507891") + filterHex <- hex[hex[,c(6)] >= 1.29114507891,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"6" >= 1.29114507891,] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"8\" using value 2.38445742065") + filterHex <- hex[hex[,c(8)] >= 2.38445742065,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"8" >= 2.38445742065,] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"7\" using value 5.0") + filterHex <- hex[hex[,c(7)] >= 5.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"7" >= 5.0,] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"5\" using value 0.0961210180927") + filterHex <- hex[hex[,c(5)] >= 0.0961210180927,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"5" >= 0.0961210180927,] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"3\" using value 5.0") + filterHex <- hex[hex[,c(3)] >= 5.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"3" >= 5.0,] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"0\" using value 10.0") + filterHex <- hex[hex[,c(1)] >= 10.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"0" >= 10.0,] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"7\" using value 5.0") + filterHex <- hex[hex[,c(7)] >= 5.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"7" >= 5.0,] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"4\" using value 10.0") + filterHex <- hex[hex[,c(4)] >= 10.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"4" >= 10.0,] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"1\" using value 2.86436622847, and also subsetting columns.") + filterHex <- hex[hex[,c(1)] >= 2.86436622847, c(1)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(1)] >= 2.86436622847, c(1,3,2,5,4,7,6,8)] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"4\" using value 10.0, and also subsetting columns.") + filterHex <- hex[hex[,c(4)] >= 10.0, c(4)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(4)] >= 10.0, c(1,3,2,5,4,7,6,8)] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"0\" using value 10.0, and also subsetting columns.") + filterHex <- hex[hex[,c(1)] >= 10.0, c(1)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(1)] >= 10.0, c(1,3,2,5,4,7,6,8)] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"3\" using value 5.0, and also subsetting columns.") + filterHex <- hex[hex[,c(3)] >= 5.0, c(3)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(3)] >= 5.0, c(1,3,2,5,4,7,6,8)] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"4\" using value 10.0, and also subsetting columns.") + filterHex <- hex[hex[,c(4)] >= 10.0, c(4)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(4)] >= 10.0, c(1,3,2,5,4,7,6,8)] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"5\" using value 2.77109247151, and also subsetting columns.") + filterHex <- hex[hex[,c(5)] >= 2.77109247151, c(5)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(5)] >= 2.77109247151, c(1,3,2,5,4,7,6,8)] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"0\" using value 10.0, and also subsetting columns.") + filterHex <- hex[hex[,c(1)] >= 10.0, c(1)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(1)] >= 10.0, c(1,3,2,5,4,7,6,8)] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"6\" using value 2.50558656368, and also subsetting columns.") + filterHex <- hex[hex[,c(6)] >= 2.50558656368, c(6)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(6)] >= 2.50558656368, c(1,3,2,5,4,7,6,8)] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"6\" using value 6.62075852491, and also subsetting columns.") + filterHex <- hex[hex[,c(6)] >= 6.62075852491, c(6)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(6)] >= 6.62075852491, c(1,3,2,5,4,7,6,8)] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"2\" using value 2.93101261457, and also subsetting columns.") + filterHex <- hex[hex[,c(2)] >= 2.93101261457, c(2)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(2)] >= 2.93101261457, c(1,3,2,5,4,7,6,8)] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"6\" using value 4.6212837249, and also subsetting columns.") + filterHex <- hex[hex[,c(6)] >= 4.6212837249, c(6)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(6)] >= 4.6212837249, c(1,3,2,5,4,7,6,8)] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"2\" using value 2.29636862181, and also subsetting columns.") + filterHex <- hex[hex[,c(2)] >= 2.29636862181, c(2)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(2)] >= 2.29636862181, c(1,3,2,5,4,7,6,8)] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"7\" using value 5.0, and also subsetting columns.") + filterHex <- hex[hex[,c(7)] >= 5.0, c(7)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(7)] >= 5.0, c(1,3,2,5,4,7,6,8)] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"3\" using value 5.0, and also subsetting columns.") + filterHex <- hex[hex[,c(3)] >= 5.0, c(3)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(3)] >= 5.0, c(1,3,2,5,4,7,6,8)] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"6\" using value 8.25395098178, and also subsetting columns.") + filterHex <- hex[hex[,c(6)] >= 8.25395098178, c(6)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(6)] >= 8.25395098178, c(1,3,2,5,4,7,6,8)] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"5\" using value 3.84751936919, and also subsetting columns.") + filterHex <- hex[hex[,c(5)] >= 3.84751936919, c(5)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(5)] >= 3.84751936919, c(1,3,2,5,4,7,6,8)] + Log.info("Filtering out rows by >= from dataset parity_128_4_100_quad and column \"5\" using value 5.25994662655, and also subsetting columns.") + filterHex <- hex[hex[,c(5)] >= 5.25994662655, c(5)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(5)] >= 5.25994662655, c(1,3,2,5,4,7,6,8)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("simpleFilterTest_ on data parity_128_4_100_quad", simpleFilterTest_parity_128_4_100_quad_91(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_simpleFilterTest_parse_fail_double_space_77.R b/R/tests/testdir_autoGen/runit_simpleFilterTest_parse_fail_double_space_77.R new file mode 100644 index 0000000000..548e7d059a --- /dev/null +++ b/R/tests/testdir_autoGen/runit_simpleFilterTest_parse_fail_double_space_77.R @@ -0,0 +1,15 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + simpleFilterTest_parse_fail_double_space_77 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <>=> ") + Log.info("Uploading parse_fail_double_space") + hex <- h2o.uploadFile(conn, "../../smalldata/parse_fail_double_space.csv", "rparse_fail_double_space.hex") + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("simpleFilterTest_ on data parse_fail_double_space", simpleFilterTest_parse_fail_double_space_77(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_simpleFilterTest_prostate_long_94.R b/R/tests/testdir_autoGen/runit_simpleFilterTest_prostate_long_94.R new file mode 100644 index 0000000000..3b69e7e50f --- /dev/null +++ b/R/tests/testdir_autoGen/runit_simpleFilterTest_prostate_long_94.R @@ -0,0 +1,15 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + simpleFilterTest_prostate_long_94 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <>=> ") + Log.info("Uploading prostate_long") + hex <- h2o.uploadFile(conn, "../../smalldata/logreg/prostate_long.csv.gz", "rprostate_long.hex") + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("simpleFilterTest_ on data prostate_long", simpleFilterTest_prostate_long_94(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_simpleFilterTest_syn_2659x1049_79.R b/R/tests/testdir_autoGen/runit_simpleFilterTest_syn_2659x1049_79.R new file mode 100644 index 0000000000..afc08a3542 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_simpleFilterTest_syn_2659x1049_79.R @@ -0,0 +1,87 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + simpleFilterTest_syn_2659x1049_79 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <>=> ") + Log.info("Uploading syn_2659x1049") + hex <- h2o.uploadFile(conn, "../../smalldata/logreg/syn_2659x1049.csv", "rsyn_2659x1049.hex") + Log.info("Filtering out rows by >= from dataset syn_2659x1049 and column \"395\" using value 2.22070704623") + filterHex <- hex[hex[,c(395)] >= 2.22070704623,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"395" >= 2.22070704623,] + Log.info("Filtering out rows by >= from dataset syn_2659x1049 and column \"140\" using value 1.47290768279") + filterHex <- hex[hex[,c(140)] >= 1.47290768279,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"140" >= 1.47290768279,] + Log.info("Filtering out rows by >= from dataset syn_2659x1049 and column \"111\" using value 2.72259224978") + filterHex <- hex[hex[,c(111)] >= 2.72259224978,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"111" >= 2.72259224978,] + Log.info("Filtering out rows by >= from dataset syn_2659x1049 and column \"753\" using value 1.81858257672") + filterHex <- hex[hex[,c(753)] >= 1.81858257672,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"753" >= 1.81858257672,] + Log.info("Filtering out rows by >= from dataset syn_2659x1049 and column \"503\" using value 0.289989400075") + filterHex <- hex[hex[,c(503)] >= 0.289989400075,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"503" >= 0.289989400075,] + Log.info("Filtering out rows by >= from dataset syn_2659x1049 and column \"670\" using value 2.22655659227") + filterHex <- hex[hex[,c(670)] >= 2.22655659227,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"670" >= 2.22655659227,] + Log.info("Filtering out rows by >= from dataset syn_2659x1049 and column \"350\" using value 2.81259853665") + filterHex <- hex[hex[,c(350)] >= 2.81259853665,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"350" >= 2.81259853665,] + Log.info("Filtering out rows by >= from dataset syn_2659x1049 and column \"969\" using value 1.69725807493") + filterHex <- hex[hex[,c(969)] >= 1.69725807493,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"969" >= 1.69725807493,] + Log.info("Filtering out rows by >= from dataset syn_2659x1049 and column \"761\" using value 0.131332250901") + filterHex <- hex[hex[,c(761)] >= 0.131332250901,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"761" >= 0.131332250901,] + Log.info("Filtering out rows by >= from dataset syn_2659x1049 and column \"924\" using value 2.10102575666, and also subsetting columns.") + filterHex <- hex[hex[,c(924)] >= 2.10102575666, c(924)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(924)] >= 2.10102575666, c(344,346,347,340,341,342,343,810,811,812,813,348,349,816,817,595,719,718,717,716,715,714,713,712,711,710,915,914,606,917,594,736,916,911,619,910,913,298,299,296,297,294,295,292,293,290,291,591,590,593,592,199,198,597,596,195,194,197,196,191,190,193,192,270,271,272,273,274,275,276,277,278,279,738,524,525,526,527,520,521,522,523,599,528,529,994,449,448,443,442,441,440,447,446,445,444,108,109,102,103,100,101,106,107,104,105,902,903,39,38,906,907,904,905,33,32,31,30,37,36,35,34,641,640,643,642,645,644,438,439,436,437,434,435,432,433,430,431,339,338,335,334,337,336,331,330,333,332,744,745,854,818,856,857,850,851,852,345,858,859,748,6,900,848,99,98,844,91,90,93,92,95,94,97,96,814,815,740,741,742,743,559,558,746,747,555,554,557,556,551,550,553,552,238,239,234,235,236,237,230,231,232,233,992,1,614,146,147,144,145,142,143,140,141,612,613,610,611,616,617,148,149,912,951,948,949,946,947,944,945,942,943,940,941,768,689,688,685,684,687,686,681,680,683,682,623,819,622,133,132,131,130,137,136,135,134,494,495,139,138,490,491,492,493,24,25,26,27,20,21,22,23,927,28,29,407,406,405,404,403,402,401,400,933,932,931,930,937,629,409,408,628,758,379,378,829,828,371,370,373,372,375,374,377,376,708,709,704,705,706,707,700,618,702,703,393,392,88,89,397,396,395,394,82,83,80,81,86,87,84,85,797,796,795,794,793,792,791,790,799,798,7,601,607,586,587,584,585,582,583,580,581,588,589,245,244,247,246,241,240,243,242,615,249,248,924,970,925,519,518,926,511,510,513,512,515,514,517,516,458,459,621,620,627,626,625,624,450,451,452,453,454,455,456,457,979,179,178,177,176,175,174,173,172,171,170,977,656,975,974,973,972,971,657,654,253,978,182,183,180,181,186,187,184,185,886,652,188,189,658,653,650,651,764,11,10,13,12,15,14,17,16,19,18,863,862,865,864,867,866,884,938,659,883,753,881,880,887,831,885,752,928,62,888,950,756,929,809,322,323,320,321,326,327,324,325,328,329,759,201,200,203,202,205,204,207,206,209,208,779,778,889,77,76,75,74,73,72,71,70,655,79,78,2,805,804,669,668,667,666,665,664,663,662,661,660,769,692,693,690,691,696,697,694,695,698,699,542,543,540,541,546,547,544,545,8,548,549,68,598,995,869,997,996,991,990,993,868,999,998,120,121,122,123,124,125,126,127,128,129,765,414,415,416,417,410,411,412,413,920,498,922,923,418,419,776,499,319,318,313,312,311,310,317,316,315,314,861,921,496,832,833,830,497,836,837,834,835,838,839,808,3,725,368,369,366,367,364,365,362,363,360,361,959,952,882,380,381,382,383,384,385,386,387,388,389,784,785,786,787,780,781,782,783,788,789,860,605,579,578,604,573,572,571,570,577,576,575,574,60,61,258,259,64,65,66,67,252,69,250,251,256,257,254,255,603,602,939,731,730,733,732,735,734,508,509,506,507,504,505,502,503,500,501,630,631,632,633,469,468,636,637,465,464,467,466,461,460,463,462,901,168,169,164,165,166,167,160,161,162,163,964,965,966,967,960,961,962,963,968,969,936,935,934,908,909,600,878,879,876,877,874,875,872,873,870,871,9,890,891,892,893,894,647,896,897,898,899,646,649,648,357,356,355,354,353,352,351,350,803,802,801,800,807,806,359,358,216,217,214,215,212,213,210,211,762,763,760,761,766,767,218,219,957,956,289,288,4,281,280,283,282,285,284,287,286,678,679,674,675,676,677,670,671,672,673,263,262,261,260,267,266,265,264,269,268,701,59,58,55,54,57,56,51,50,53,52,537,536,535,63,533,532,531,530,539,538,987,775,988,989,774,982,983,980,981,986,777,984,985,115,114,117,116,111,110,113,112,771,119,118,770,773,772,953,429,428,534,919,918,421,420,423,422,425,424,427,426,308,309,855,300,301,302,303,304,305,306,307,895,825,824,827,847,846,845,826,843,842,841,840,821,853,849,820,823,822,954,568,569,751,750,757,737,755,754,560,561,562,563,564,565,566,567,739,229,228,227,226,225,224,223,222,221,220,391,726,727,724,390,722,723,720,721,728,729,151,150,153,152,155,154,157,156,159,158,609,608,976,634,399,635,749,958,398,48,49,46,47,44,45,42,43,40,41,638,5,639,489,488,487,486,485,484,483,482,481,480,955,472,473,470,471,476,477,474,475,478,479)] + Log.info("Filtering out rows by >= from dataset syn_2659x1049 and column \"359\" using value 2.18568511013, and also subsetting columns.") + filterHex <- hex[hex[,c(359)] >= 2.18568511013, c(359)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(359)] >= 2.18568511013, c(344,346,347,340,341,342,343,810,811,812,813,348,349,816,817,595,719,718,717,716,715,714,713,712,711,710,915,914,606,917,594,736,916,911,619,910,913,298,299,296,297,294,295,292,293,290,291,591,590,593,592,199,198,597,596,195,194,197,196,191,190,193,192,270,271,272,273,274,275,276,277,278,279,738,524,525,526,527,520,521,522,523,599,528,529,994,449,448,443,442,441,440,447,446,445,444,108,109,102,103,100,101,106,107,104,105,902,903,39,38,906,907,904,905,33,32,31,30,37,36,35,34,641,640,643,642,645,644,438,439,436,437,434,435,432,433,430,431,339,338,335,334,337,336,331,330,333,332,744,745,854,818,856,857,850,851,852,345,858,859,748,6,900,848,99,98,844,91,90,93,92,95,94,97,96,814,815,740,741,742,743,559,558,746,747,555,554,557,556,551,550,553,552,238,239,234,235,236,237,230,231,232,233,992,1,614,146,147,144,145,142,143,140,141,612,613,610,611,616,617,148,149,912,951,948,949,946,947,944,945,942,943,940,941,768,689,688,685,684,687,686,681,680,683,682,623,819,622,133,132,131,130,137,136,135,134,494,495,139,138,490,491,492,493,24,25,26,27,20,21,22,23,927,28,29,407,406,405,404,403,402,401,400,933,932,931,930,937,629,409,408,628,758,379,378,829,828,371,370,373,372,375,374,377,376,708,709,704,705,706,707,700,618,702,703,393,392,88,89,397,396,395,394,82,83,80,81,86,87,84,85,797,796,795,794,793,792,791,790,799,798,7,601,607,586,587,584,585,582,583,580,581,588,589,245,244,247,246,241,240,243,242,615,249,248,924,970,925,519,518,926,511,510,513,512,515,514,517,516,458,459,621,620,627,626,625,624,450,451,452,453,454,455,456,457,979,179,178,177,176,175,174,173,172,171,170,977,656,975,974,973,972,971,657,654,253,978,182,183,180,181,186,187,184,185,886,652,188,189,658,653,650,651,764,11,10,13,12,15,14,17,16,19,18,863,862,865,864,867,866,884,938,659,883,753,881,880,887,831,885,752,928,62,888,950,756,929,809,322,323,320,321,326,327,324,325,328,329,759,201,200,203,202,205,204,207,206,209,208,779,778,889,77,76,75,74,73,72,71,70,655,79,78,2,805,804,669,668,667,666,665,664,663,662,661,660,769,692,693,690,691,696,697,694,695,698,699,542,543,540,541,546,547,544,545,8,548,549,68,598,995,869,997,996,991,990,993,868,999,998,120,121,122,123,124,125,126,127,128,129,765,414,415,416,417,410,411,412,413,920,498,922,923,418,419,776,499,319,318,313,312,311,310,317,316,315,314,861,921,496,832,833,830,497,836,837,834,835,838,839,808,3,725,368,369,366,367,364,365,362,363,360,361,959,952,882,380,381,382,383,384,385,386,387,388,389,784,785,786,787,780,781,782,783,788,789,860,605,579,578,604,573,572,571,570,577,576,575,574,60,61,258,259,64,65,66,67,252,69,250,251,256,257,254,255,603,602,939,731,730,733,732,735,734,508,509,506,507,504,505,502,503,500,501,630,631,632,633,469,468,636,637,465,464,467,466,461,460,463,462,901,168,169,164,165,166,167,160,161,162,163,964,965,966,967,960,961,962,963,968,969,936,935,934,908,909,600,878,879,876,877,874,875,872,873,870,871,9,890,891,892,893,894,647,896,897,898,899,646,649,648,357,356,355,354,353,352,351,350,803,802,801,800,807,806,359,358,216,217,214,215,212,213,210,211,762,763,760,761,766,767,218,219,957,956,289,288,4,281,280,283,282,285,284,287,286,678,679,674,675,676,677,670,671,672,673,263,262,261,260,267,266,265,264,269,268,701,59,58,55,54,57,56,51,50,53,52,537,536,535,63,533,532,531,530,539,538,987,775,988,989,774,982,983,980,981,986,777,984,985,115,114,117,116,111,110,113,112,771,119,118,770,773,772,953,429,428,534,919,918,421,420,423,422,425,424,427,426,308,309,855,300,301,302,303,304,305,306,307,895,825,824,827,847,846,845,826,843,842,841,840,821,853,849,820,823,822,954,568,569,751,750,757,737,755,754,560,561,562,563,564,565,566,567,739,229,228,227,226,225,224,223,222,221,220,391,726,727,724,390,722,723,720,721,728,729,151,150,153,152,155,154,157,156,159,158,609,608,976,634,399,635,749,958,398,48,49,46,47,44,45,42,43,40,41,638,5,639,489,488,487,486,485,484,483,482,481,480,955,472,473,470,471,476,477,474,475,478,479)] + Log.info("Filtering out rows by >= from dataset syn_2659x1049 and column \"147\" using value 0.45512893367, and also subsetting columns.") + filterHex <- hex[hex[,c(147)] >= 0.45512893367, c(147)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(147)] >= 0.45512893367, c(344,346,347,340,341,342,343,810,811,812,813,348,349,816,817,595,719,718,717,716,715,714,713,712,711,710,915,914,606,917,594,736,916,911,619,910,913,298,299,296,297,294,295,292,293,290,291,591,590,593,592,199,198,597,596,195,194,197,196,191,190,193,192,270,271,272,273,274,275,276,277,278,279,738,524,525,526,527,520,521,522,523,599,528,529,994,449,448,443,442,441,440,447,446,445,444,108,109,102,103,100,101,106,107,104,105,902,903,39,38,906,907,904,905,33,32,31,30,37,36,35,34,641,640,643,642,645,644,438,439,436,437,434,435,432,433,430,431,339,338,335,334,337,336,331,330,333,332,744,745,854,818,856,857,850,851,852,345,858,859,748,6,900,848,99,98,844,91,90,93,92,95,94,97,96,814,815,740,741,742,743,559,558,746,747,555,554,557,556,551,550,553,552,238,239,234,235,236,237,230,231,232,233,992,1,614,146,147,144,145,142,143,140,141,612,613,610,611,616,617,148,149,912,951,948,949,946,947,944,945,942,943,940,941,768,689,688,685,684,687,686,681,680,683,682,623,819,622,133,132,131,130,137,136,135,134,494,495,139,138,490,491,492,493,24,25,26,27,20,21,22,23,927,28,29,407,406,405,404,403,402,401,400,933,932,931,930,937,629,409,408,628,758,379,378,829,828,371,370,373,372,375,374,377,376,708,709,704,705,706,707,700,618,702,703,393,392,88,89,397,396,395,394,82,83,80,81,86,87,84,85,797,796,795,794,793,792,791,790,799,798,7,601,607,586,587,584,585,582,583,580,581,588,589,245,244,247,246,241,240,243,242,615,249,248,924,970,925,519,518,926,511,510,513,512,515,514,517,516,458,459,621,620,627,626,625,624,450,451,452,453,454,455,456,457,979,179,178,177,176,175,174,173,172,171,170,977,656,975,974,973,972,971,657,654,253,978,182,183,180,181,186,187,184,185,886,652,188,189,658,653,650,651,764,11,10,13,12,15,14,17,16,19,18,863,862,865,864,867,866,884,938,659,883,753,881,880,887,831,885,752,928,62,888,950,756,929,809,322,323,320,321,326,327,324,325,328,329,759,201,200,203,202,205,204,207,206,209,208,779,778,889,77,76,75,74,73,72,71,70,655,79,78,2,805,804,669,668,667,666,665,664,663,662,661,660,769,692,693,690,691,696,697,694,695,698,699,542,543,540,541,546,547,544,545,8,548,549,68,598,995,869,997,996,991,990,993,868,999,998,120,121,122,123,124,125,126,127,128,129,765,414,415,416,417,410,411,412,413,920,498,922,923,418,419,776,499,319,318,313,312,311,310,317,316,315,314,861,921,496,832,833,830,497,836,837,834,835,838,839,808,3,725,368,369,366,367,364,365,362,363,360,361,959,952,882,380,381,382,383,384,385,386,387,388,389,784,785,786,787,780,781,782,783,788,789,860,605,579,578,604,573,572,571,570,577,576,575,574,60,61,258,259,64,65,66,67,252,69,250,251,256,257,254,255,603,602,939,731,730,733,732,735,734,508,509,506,507,504,505,502,503,500,501,630,631,632,633,469,468,636,637,465,464,467,466,461,460,463,462,901,168,169,164,165,166,167,160,161,162,163,964,965,966,967,960,961,962,963,968,969,936,935,934,908,909,600,878,879,876,877,874,875,872,873,870,871,9,890,891,892,893,894,647,896,897,898,899,646,649,648,357,356,355,354,353,352,351,350,803,802,801,800,807,806,359,358,216,217,214,215,212,213,210,211,762,763,760,761,766,767,218,219,957,956,289,288,4,281,280,283,282,285,284,287,286,678,679,674,675,676,677,670,671,672,673,263,262,261,260,267,266,265,264,269,268,701,59,58,55,54,57,56,51,50,53,52,537,536,535,63,533,532,531,530,539,538,987,775,988,989,774,982,983,980,981,986,777,984,985,115,114,117,116,111,110,113,112,771,119,118,770,773,772,953,429,428,534,919,918,421,420,423,422,425,424,427,426,308,309,855,300,301,302,303,304,305,306,307,895,825,824,827,847,846,845,826,843,842,841,840,821,853,849,820,823,822,954,568,569,751,750,757,737,755,754,560,561,562,563,564,565,566,567,739,229,228,227,226,225,224,223,222,221,220,391,726,727,724,390,722,723,720,721,728,729,151,150,153,152,155,154,157,156,159,158,609,608,976,634,399,635,749,958,398,48,49,46,47,44,45,42,43,40,41,638,5,639,489,488,487,486,485,484,483,482,481,480,955,472,473,470,471,476,477,474,475,478,479)] + Log.info("Filtering out rows by >= from dataset syn_2659x1049 and column \"767\" using value 1.86223769049, and also subsetting columns.") + filterHex <- hex[hex[,c(767)] >= 1.86223769049, c(767)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(767)] >= 1.86223769049, c(344,346,347,340,341,342,343,810,811,812,813,348,349,816,817,595,719,718,717,716,715,714,713,712,711,710,915,914,606,917,594,736,916,911,619,910,913,298,299,296,297,294,295,292,293,290,291,591,590,593,592,199,198,597,596,195,194,197,196,191,190,193,192,270,271,272,273,274,275,276,277,278,279,738,524,525,526,527,520,521,522,523,599,528,529,994,449,448,443,442,441,440,447,446,445,444,108,109,102,103,100,101,106,107,104,105,902,903,39,38,906,907,904,905,33,32,31,30,37,36,35,34,641,640,643,642,645,644,438,439,436,437,434,435,432,433,430,431,339,338,335,334,337,336,331,330,333,332,744,745,854,818,856,857,850,851,852,345,858,859,748,6,900,848,99,98,844,91,90,93,92,95,94,97,96,814,815,740,741,742,743,559,558,746,747,555,554,557,556,551,550,553,552,238,239,234,235,236,237,230,231,232,233,992,1,614,146,147,144,145,142,143,140,141,612,613,610,611,616,617,148,149,912,951,948,949,946,947,944,945,942,943,940,941,768,689,688,685,684,687,686,681,680,683,682,623,819,622,133,132,131,130,137,136,135,134,494,495,139,138,490,491,492,493,24,25,26,27,20,21,22,23,927,28,29,407,406,405,404,403,402,401,400,933,932,931,930,937,629,409,408,628,758,379,378,829,828,371,370,373,372,375,374,377,376,708,709,704,705,706,707,700,618,702,703,393,392,88,89,397,396,395,394,82,83,80,81,86,87,84,85,797,796,795,794,793,792,791,790,799,798,7,601,607,586,587,584,585,582,583,580,581,588,589,245,244,247,246,241,240,243,242,615,249,248,924,970,925,519,518,926,511,510,513,512,515,514,517,516,458,459,621,620,627,626,625,624,450,451,452,453,454,455,456,457,979,179,178,177,176,175,174,173,172,171,170,977,656,975,974,973,972,971,657,654,253,978,182,183,180,181,186,187,184,185,886,652,188,189,658,653,650,651,764,11,10,13,12,15,14,17,16,19,18,863,862,865,864,867,866,884,938,659,883,753,881,880,887,831,885,752,928,62,888,950,756,929,809,322,323,320,321,326,327,324,325,328,329,759,201,200,203,202,205,204,207,206,209,208,779,778,889,77,76,75,74,73,72,71,70,655,79,78,2,805,804,669,668,667,666,665,664,663,662,661,660,769,692,693,690,691,696,697,694,695,698,699,542,543,540,541,546,547,544,545,8,548,549,68,598,995,869,997,996,991,990,993,868,999,998,120,121,122,123,124,125,126,127,128,129,765,414,415,416,417,410,411,412,413,920,498,922,923,418,419,776,499,319,318,313,312,311,310,317,316,315,314,861,921,496,832,833,830,497,836,837,834,835,838,839,808,3,725,368,369,366,367,364,365,362,363,360,361,959,952,882,380,381,382,383,384,385,386,387,388,389,784,785,786,787,780,781,782,783,788,789,860,605,579,578,604,573,572,571,570,577,576,575,574,60,61,258,259,64,65,66,67,252,69,250,251,256,257,254,255,603,602,939,731,730,733,732,735,734,508,509,506,507,504,505,502,503,500,501,630,631,632,633,469,468,636,637,465,464,467,466,461,460,463,462,901,168,169,164,165,166,167,160,161,162,163,964,965,966,967,960,961,962,963,968,969,936,935,934,908,909,600,878,879,876,877,874,875,872,873,870,871,9,890,891,892,893,894,647,896,897,898,899,646,649,648,357,356,355,354,353,352,351,350,803,802,801,800,807,806,359,358,216,217,214,215,212,213,210,211,762,763,760,761,766,767,218,219,957,956,289,288,4,281,280,283,282,285,284,287,286,678,679,674,675,676,677,670,671,672,673,263,262,261,260,267,266,265,264,269,268,701,59,58,55,54,57,56,51,50,53,52,537,536,535,63,533,532,531,530,539,538,987,775,988,989,774,982,983,980,981,986,777,984,985,115,114,117,116,111,110,113,112,771,119,118,770,773,772,953,429,428,534,919,918,421,420,423,422,425,424,427,426,308,309,855,300,301,302,303,304,305,306,307,895,825,824,827,847,846,845,826,843,842,841,840,821,853,849,820,823,822,954,568,569,751,750,757,737,755,754,560,561,562,563,564,565,566,567,739,229,228,227,226,225,224,223,222,221,220,391,726,727,724,390,722,723,720,721,728,729,151,150,153,152,155,154,157,156,159,158,609,608,976,634,399,635,749,958,398,48,49,46,47,44,45,42,43,40,41,638,5,639,489,488,487,486,485,484,483,482,481,480,955,472,473,470,471,476,477,474,475,478,479)] + Log.info("Filtering out rows by >= from dataset syn_2659x1049 and column \"25\" using value 0.182960599208, and also subsetting columns.") + filterHex <- hex[hex[,c(25)] >= 0.182960599208, c(25)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(25)] >= 0.182960599208, c(344,346,347,340,341,342,343,810,811,812,813,348,349,816,817,595,719,718,717,716,715,714,713,712,711,710,915,914,606,917,594,736,916,911,619,910,913,298,299,296,297,294,295,292,293,290,291,591,590,593,592,199,198,597,596,195,194,197,196,191,190,193,192,270,271,272,273,274,275,276,277,278,279,738,524,525,526,527,520,521,522,523,599,528,529,994,449,448,443,442,441,440,447,446,445,444,108,109,102,103,100,101,106,107,104,105,902,903,39,38,906,907,904,905,33,32,31,30,37,36,35,34,641,640,643,642,645,644,438,439,436,437,434,435,432,433,430,431,339,338,335,334,337,336,331,330,333,332,744,745,854,818,856,857,850,851,852,345,858,859,748,6,900,848,99,98,844,91,90,93,92,95,94,97,96,814,815,740,741,742,743,559,558,746,747,555,554,557,556,551,550,553,552,238,239,234,235,236,237,230,231,232,233,992,1,614,146,147,144,145,142,143,140,141,612,613,610,611,616,617,148,149,912,951,948,949,946,947,944,945,942,943,940,941,768,689,688,685,684,687,686,681,680,683,682,623,819,622,133,132,131,130,137,136,135,134,494,495,139,138,490,491,492,493,24,25,26,27,20,21,22,23,927,28,29,407,406,405,404,403,402,401,400,933,932,931,930,937,629,409,408,628,758,379,378,829,828,371,370,373,372,375,374,377,376,708,709,704,705,706,707,700,618,702,703,393,392,88,89,397,396,395,394,82,83,80,81,86,87,84,85,797,796,795,794,793,792,791,790,799,798,7,601,607,586,587,584,585,582,583,580,581,588,589,245,244,247,246,241,240,243,242,615,249,248,924,970,925,519,518,926,511,510,513,512,515,514,517,516,458,459,621,620,627,626,625,624,450,451,452,453,454,455,456,457,979,179,178,177,176,175,174,173,172,171,170,977,656,975,974,973,972,971,657,654,253,978,182,183,180,181,186,187,184,185,886,652,188,189,658,653,650,651,764,11,10,13,12,15,14,17,16,19,18,863,862,865,864,867,866,884,938,659,883,753,881,880,887,831,885,752,928,62,888,950,756,929,809,322,323,320,321,326,327,324,325,328,329,759,201,200,203,202,205,204,207,206,209,208,779,778,889,77,76,75,74,73,72,71,70,655,79,78,2,805,804,669,668,667,666,665,664,663,662,661,660,769,692,693,690,691,696,697,694,695,698,699,542,543,540,541,546,547,544,545,8,548,549,68,598,995,869,997,996,991,990,993,868,999,998,120,121,122,123,124,125,126,127,128,129,765,414,415,416,417,410,411,412,413,920,498,922,923,418,419,776,499,319,318,313,312,311,310,317,316,315,314,861,921,496,832,833,830,497,836,837,834,835,838,839,808,3,725,368,369,366,367,364,365,362,363,360,361,959,952,882,380,381,382,383,384,385,386,387,388,389,784,785,786,787,780,781,782,783,788,789,860,605,579,578,604,573,572,571,570,577,576,575,574,60,61,258,259,64,65,66,67,252,69,250,251,256,257,254,255,603,602,939,731,730,733,732,735,734,508,509,506,507,504,505,502,503,500,501,630,631,632,633,469,468,636,637,465,464,467,466,461,460,463,462,901,168,169,164,165,166,167,160,161,162,163,964,965,966,967,960,961,962,963,968,969,936,935,934,908,909,600,878,879,876,877,874,875,872,873,870,871,9,890,891,892,893,894,647,896,897,898,899,646,649,648,357,356,355,354,353,352,351,350,803,802,801,800,807,806,359,358,216,217,214,215,212,213,210,211,762,763,760,761,766,767,218,219,957,956,289,288,4,281,280,283,282,285,284,287,286,678,679,674,675,676,677,670,671,672,673,263,262,261,260,267,266,265,264,269,268,701,59,58,55,54,57,56,51,50,53,52,537,536,535,63,533,532,531,530,539,538,987,775,988,989,774,982,983,980,981,986,777,984,985,115,114,117,116,111,110,113,112,771,119,118,770,773,772,953,429,428,534,919,918,421,420,423,422,425,424,427,426,308,309,855,300,301,302,303,304,305,306,307,895,825,824,827,847,846,845,826,843,842,841,840,821,853,849,820,823,822,954,568,569,751,750,757,737,755,754,560,561,562,563,564,565,566,567,739,229,228,227,226,225,224,223,222,221,220,391,726,727,724,390,722,723,720,721,728,729,151,150,153,152,155,154,157,156,159,158,609,608,976,634,399,635,749,958,398,48,49,46,47,44,45,42,43,40,41,638,5,639,489,488,487,486,485,484,483,482,481,480,955,472,473,470,471,476,477,474,475,478,479)] + Log.info("Filtering out rows by >= from dataset syn_2659x1049 and column \"34\" using value 1.16743843949, and also subsetting columns.") + filterHex <- hex[hex[,c(34)] >= 1.16743843949, c(34)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(34)] >= 1.16743843949, c(344,346,347,340,341,342,343,810,811,812,813,348,349,816,817,595,719,718,717,716,715,714,713,712,711,710,915,914,606,917,594,736,916,911,619,910,913,298,299,296,297,294,295,292,293,290,291,591,590,593,592,199,198,597,596,195,194,197,196,191,190,193,192,270,271,272,273,274,275,276,277,278,279,738,524,525,526,527,520,521,522,523,599,528,529,994,449,448,443,442,441,440,447,446,445,444,108,109,102,103,100,101,106,107,104,105,902,903,39,38,906,907,904,905,33,32,31,30,37,36,35,34,641,640,643,642,645,644,438,439,436,437,434,435,432,433,430,431,339,338,335,334,337,336,331,330,333,332,744,745,854,818,856,857,850,851,852,345,858,859,748,6,900,848,99,98,844,91,90,93,92,95,94,97,96,814,815,740,741,742,743,559,558,746,747,555,554,557,556,551,550,553,552,238,239,234,235,236,237,230,231,232,233,992,1,614,146,147,144,145,142,143,140,141,612,613,610,611,616,617,148,149,912,951,948,949,946,947,944,945,942,943,940,941,768,689,688,685,684,687,686,681,680,683,682,623,819,622,133,132,131,130,137,136,135,134,494,495,139,138,490,491,492,493,24,25,26,27,20,21,22,23,927,28,29,407,406,405,404,403,402,401,400,933,932,931,930,937,629,409,408,628,758,379,378,829,828,371,370,373,372,375,374,377,376,708,709,704,705,706,707,700,618,702,703,393,392,88,89,397,396,395,394,82,83,80,81,86,87,84,85,797,796,795,794,793,792,791,790,799,798,7,601,607,586,587,584,585,582,583,580,581,588,589,245,244,247,246,241,240,243,242,615,249,248,924,970,925,519,518,926,511,510,513,512,515,514,517,516,458,459,621,620,627,626,625,624,450,451,452,453,454,455,456,457,979,179,178,177,176,175,174,173,172,171,170,977,656,975,974,973,972,971,657,654,253,978,182,183,180,181,186,187,184,185,886,652,188,189,658,653,650,651,764,11,10,13,12,15,14,17,16,19,18,863,862,865,864,867,866,884,938,659,883,753,881,880,887,831,885,752,928,62,888,950,756,929,809,322,323,320,321,326,327,324,325,328,329,759,201,200,203,202,205,204,207,206,209,208,779,778,889,77,76,75,74,73,72,71,70,655,79,78,2,805,804,669,668,667,666,665,664,663,662,661,660,769,692,693,690,691,696,697,694,695,698,699,542,543,540,541,546,547,544,545,8,548,549,68,598,995,869,997,996,991,990,993,868,999,998,120,121,122,123,124,125,126,127,128,129,765,414,415,416,417,410,411,412,413,920,498,922,923,418,419,776,499,319,318,313,312,311,310,317,316,315,314,861,921,496,832,833,830,497,836,837,834,835,838,839,808,3,725,368,369,366,367,364,365,362,363,360,361,959,952,882,380,381,382,383,384,385,386,387,388,389,784,785,786,787,780,781,782,783,788,789,860,605,579,578,604,573,572,571,570,577,576,575,574,60,61,258,259,64,65,66,67,252,69,250,251,256,257,254,255,603,602,939,731,730,733,732,735,734,508,509,506,507,504,505,502,503,500,501,630,631,632,633,469,468,636,637,465,464,467,466,461,460,463,462,901,168,169,164,165,166,167,160,161,162,163,964,965,966,967,960,961,962,963,968,969,936,935,934,908,909,600,878,879,876,877,874,875,872,873,870,871,9,890,891,892,893,894,647,896,897,898,899,646,649,648,357,356,355,354,353,352,351,350,803,802,801,800,807,806,359,358,216,217,214,215,212,213,210,211,762,763,760,761,766,767,218,219,957,956,289,288,4,281,280,283,282,285,284,287,286,678,679,674,675,676,677,670,671,672,673,263,262,261,260,267,266,265,264,269,268,701,59,58,55,54,57,56,51,50,53,52,537,536,535,63,533,532,531,530,539,538,987,775,988,989,774,982,983,980,981,986,777,984,985,115,114,117,116,111,110,113,112,771,119,118,770,773,772,953,429,428,534,919,918,421,420,423,422,425,424,427,426,308,309,855,300,301,302,303,304,305,306,307,895,825,824,827,847,846,845,826,843,842,841,840,821,853,849,820,823,822,954,568,569,751,750,757,737,755,754,560,561,562,563,564,565,566,567,739,229,228,227,226,225,224,223,222,221,220,391,726,727,724,390,722,723,720,721,728,729,151,150,153,152,155,154,157,156,159,158,609,608,976,634,399,635,749,958,398,48,49,46,47,44,45,42,43,40,41,638,5,639,489,488,487,486,485,484,483,482,481,480,955,472,473,470,471,476,477,474,475,478,479)] + Log.info("Filtering out rows by >= from dataset syn_2659x1049 and column \"592\" using value 0.547868969268, and also subsetting columns.") + filterHex <- hex[hex[,c(592)] >= 0.547868969268, c(592)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(592)] >= 0.547868969268, c(344,346,347,340,341,342,343,810,811,812,813,348,349,816,817,595,719,718,717,716,715,714,713,712,711,710,915,914,606,917,594,736,916,911,619,910,913,298,299,296,297,294,295,292,293,290,291,591,590,593,592,199,198,597,596,195,194,197,196,191,190,193,192,270,271,272,273,274,275,276,277,278,279,738,524,525,526,527,520,521,522,523,599,528,529,994,449,448,443,442,441,440,447,446,445,444,108,109,102,103,100,101,106,107,104,105,902,903,39,38,906,907,904,905,33,32,31,30,37,36,35,34,641,640,643,642,645,644,438,439,436,437,434,435,432,433,430,431,339,338,335,334,337,336,331,330,333,332,744,745,854,818,856,857,850,851,852,345,858,859,748,6,900,848,99,98,844,91,90,93,92,95,94,97,96,814,815,740,741,742,743,559,558,746,747,555,554,557,556,551,550,553,552,238,239,234,235,236,237,230,231,232,233,992,1,614,146,147,144,145,142,143,140,141,612,613,610,611,616,617,148,149,912,951,948,949,946,947,944,945,942,943,940,941,768,689,688,685,684,687,686,681,680,683,682,623,819,622,133,132,131,130,137,136,135,134,494,495,139,138,490,491,492,493,24,25,26,27,20,21,22,23,927,28,29,407,406,405,404,403,402,401,400,933,932,931,930,937,629,409,408,628,758,379,378,829,828,371,370,373,372,375,374,377,376,708,709,704,705,706,707,700,618,702,703,393,392,88,89,397,396,395,394,82,83,80,81,86,87,84,85,797,796,795,794,793,792,791,790,799,798,7,601,607,586,587,584,585,582,583,580,581,588,589,245,244,247,246,241,240,243,242,615,249,248,924,970,925,519,518,926,511,510,513,512,515,514,517,516,458,459,621,620,627,626,625,624,450,451,452,453,454,455,456,457,979,179,178,177,176,175,174,173,172,171,170,977,656,975,974,973,972,971,657,654,253,978,182,183,180,181,186,187,184,185,886,652,188,189,658,653,650,651,764,11,10,13,12,15,14,17,16,19,18,863,862,865,864,867,866,884,938,659,883,753,881,880,887,831,885,752,928,62,888,950,756,929,809,322,323,320,321,326,327,324,325,328,329,759,201,200,203,202,205,204,207,206,209,208,779,778,889,77,76,75,74,73,72,71,70,655,79,78,2,805,804,669,668,667,666,665,664,663,662,661,660,769,692,693,690,691,696,697,694,695,698,699,542,543,540,541,546,547,544,545,8,548,549,68,598,995,869,997,996,991,990,993,868,999,998,120,121,122,123,124,125,126,127,128,129,765,414,415,416,417,410,411,412,413,920,498,922,923,418,419,776,499,319,318,313,312,311,310,317,316,315,314,861,921,496,832,833,830,497,836,837,834,835,838,839,808,3,725,368,369,366,367,364,365,362,363,360,361,959,952,882,380,381,382,383,384,385,386,387,388,389,784,785,786,787,780,781,782,783,788,789,860,605,579,578,604,573,572,571,570,577,576,575,574,60,61,258,259,64,65,66,67,252,69,250,251,256,257,254,255,603,602,939,731,730,733,732,735,734,508,509,506,507,504,505,502,503,500,501,630,631,632,633,469,468,636,637,465,464,467,466,461,460,463,462,901,168,169,164,165,166,167,160,161,162,163,964,965,966,967,960,961,962,963,968,969,936,935,934,908,909,600,878,879,876,877,874,875,872,873,870,871,9,890,891,892,893,894,647,896,897,898,899,646,649,648,357,356,355,354,353,352,351,350,803,802,801,800,807,806,359,358,216,217,214,215,212,213,210,211,762,763,760,761,766,767,218,219,957,956,289,288,4,281,280,283,282,285,284,287,286,678,679,674,675,676,677,670,671,672,673,263,262,261,260,267,266,265,264,269,268,701,59,58,55,54,57,56,51,50,53,52,537,536,535,63,533,532,531,530,539,538,987,775,988,989,774,982,983,980,981,986,777,984,985,115,114,117,116,111,110,113,112,771,119,118,770,773,772,953,429,428,534,919,918,421,420,423,422,425,424,427,426,308,309,855,300,301,302,303,304,305,306,307,895,825,824,827,847,846,845,826,843,842,841,840,821,853,849,820,823,822,954,568,569,751,750,757,737,755,754,560,561,562,563,564,565,566,567,739,229,228,227,226,225,224,223,222,221,220,391,726,727,724,390,722,723,720,721,728,729,151,150,153,152,155,154,157,156,159,158,609,608,976,634,399,635,749,958,398,48,49,46,47,44,45,42,43,40,41,638,5,639,489,488,487,486,485,484,483,482,481,480,955,472,473,470,471,476,477,474,475,478,479)] + Log.info("Filtering out rows by >= from dataset syn_2659x1049 and column \"104\" using value 1.37441777223, and also subsetting columns.") + filterHex <- hex[hex[,c(104)] >= 1.37441777223, c(104)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(104)] >= 1.37441777223, c(344,346,347,340,341,342,343,810,811,812,813,348,349,816,817,595,719,718,717,716,715,714,713,712,711,710,915,914,606,917,594,736,916,911,619,910,913,298,299,296,297,294,295,292,293,290,291,591,590,593,592,199,198,597,596,195,194,197,196,191,190,193,192,270,271,272,273,274,275,276,277,278,279,738,524,525,526,527,520,521,522,523,599,528,529,994,449,448,443,442,441,440,447,446,445,444,108,109,102,103,100,101,106,107,104,105,902,903,39,38,906,907,904,905,33,32,31,30,37,36,35,34,641,640,643,642,645,644,438,439,436,437,434,435,432,433,430,431,339,338,335,334,337,336,331,330,333,332,744,745,854,818,856,857,850,851,852,345,858,859,748,6,900,848,99,98,844,91,90,93,92,95,94,97,96,814,815,740,741,742,743,559,558,746,747,555,554,557,556,551,550,553,552,238,239,234,235,236,237,230,231,232,233,992,1,614,146,147,144,145,142,143,140,141,612,613,610,611,616,617,148,149,912,951,948,949,946,947,944,945,942,943,940,941,768,689,688,685,684,687,686,681,680,683,682,623,819,622,133,132,131,130,137,136,135,134,494,495,139,138,490,491,492,493,24,25,26,27,20,21,22,23,927,28,29,407,406,405,404,403,402,401,400,933,932,931,930,937,629,409,408,628,758,379,378,829,828,371,370,373,372,375,374,377,376,708,709,704,705,706,707,700,618,702,703,393,392,88,89,397,396,395,394,82,83,80,81,86,87,84,85,797,796,795,794,793,792,791,790,799,798,7,601,607,586,587,584,585,582,583,580,581,588,589,245,244,247,246,241,240,243,242,615,249,248,924,970,925,519,518,926,511,510,513,512,515,514,517,516,458,459,621,620,627,626,625,624,450,451,452,453,454,455,456,457,979,179,178,177,176,175,174,173,172,171,170,977,656,975,974,973,972,971,657,654,253,978,182,183,180,181,186,187,184,185,886,652,188,189,658,653,650,651,764,11,10,13,12,15,14,17,16,19,18,863,862,865,864,867,866,884,938,659,883,753,881,880,887,831,885,752,928,62,888,950,756,929,809,322,323,320,321,326,327,324,325,328,329,759,201,200,203,202,205,204,207,206,209,208,779,778,889,77,76,75,74,73,72,71,70,655,79,78,2,805,804,669,668,667,666,665,664,663,662,661,660,769,692,693,690,691,696,697,694,695,698,699,542,543,540,541,546,547,544,545,8,548,549,68,598,995,869,997,996,991,990,993,868,999,998,120,121,122,123,124,125,126,127,128,129,765,414,415,416,417,410,411,412,413,920,498,922,923,418,419,776,499,319,318,313,312,311,310,317,316,315,314,861,921,496,832,833,830,497,836,837,834,835,838,839,808,3,725,368,369,366,367,364,365,362,363,360,361,959,952,882,380,381,382,383,384,385,386,387,388,389,784,785,786,787,780,781,782,783,788,789,860,605,579,578,604,573,572,571,570,577,576,575,574,60,61,258,259,64,65,66,67,252,69,250,251,256,257,254,255,603,602,939,731,730,733,732,735,734,508,509,506,507,504,505,502,503,500,501,630,631,632,633,469,468,636,637,465,464,467,466,461,460,463,462,901,168,169,164,165,166,167,160,161,162,163,964,965,966,967,960,961,962,963,968,969,936,935,934,908,909,600,878,879,876,877,874,875,872,873,870,871,9,890,891,892,893,894,647,896,897,898,899,646,649,648,357,356,355,354,353,352,351,350,803,802,801,800,807,806,359,358,216,217,214,215,212,213,210,211,762,763,760,761,766,767,218,219,957,956,289,288,4,281,280,283,282,285,284,287,286,678,679,674,675,676,677,670,671,672,673,263,262,261,260,267,266,265,264,269,268,701,59,58,55,54,57,56,51,50,53,52,537,536,535,63,533,532,531,530,539,538,987,775,988,989,774,982,983,980,981,986,777,984,985,115,114,117,116,111,110,113,112,771,119,118,770,773,772,953,429,428,534,919,918,421,420,423,422,425,424,427,426,308,309,855,300,301,302,303,304,305,306,307,895,825,824,827,847,846,845,826,843,842,841,840,821,853,849,820,823,822,954,568,569,751,750,757,737,755,754,560,561,562,563,564,565,566,567,739,229,228,227,226,225,224,223,222,221,220,391,726,727,724,390,722,723,720,721,728,729,151,150,153,152,155,154,157,156,159,158,609,608,976,634,399,635,749,958,398,48,49,46,47,44,45,42,43,40,41,638,5,639,489,488,487,486,485,484,483,482,481,480,955,472,473,470,471,476,477,474,475,478,479)] + Log.info("Filtering out rows by >= from dataset syn_2659x1049 and column \"716\" using value 0.59357671094, and also subsetting columns.") + filterHex <- hex[hex[,c(716)] >= 0.59357671094, c(716)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(716)] >= 0.59357671094, c(344,346,347,340,341,342,343,810,811,812,813,348,349,816,817,595,719,718,717,716,715,714,713,712,711,710,915,914,606,917,594,736,916,911,619,910,913,298,299,296,297,294,295,292,293,290,291,591,590,593,592,199,198,597,596,195,194,197,196,191,190,193,192,270,271,272,273,274,275,276,277,278,279,738,524,525,526,527,520,521,522,523,599,528,529,994,449,448,443,442,441,440,447,446,445,444,108,109,102,103,100,101,106,107,104,105,902,903,39,38,906,907,904,905,33,32,31,30,37,36,35,34,641,640,643,642,645,644,438,439,436,437,434,435,432,433,430,431,339,338,335,334,337,336,331,330,333,332,744,745,854,818,856,857,850,851,852,345,858,859,748,6,900,848,99,98,844,91,90,93,92,95,94,97,96,814,815,740,741,742,743,559,558,746,747,555,554,557,556,551,550,553,552,238,239,234,235,236,237,230,231,232,233,992,1,614,146,147,144,145,142,143,140,141,612,613,610,611,616,617,148,149,912,951,948,949,946,947,944,945,942,943,940,941,768,689,688,685,684,687,686,681,680,683,682,623,819,622,133,132,131,130,137,136,135,134,494,495,139,138,490,491,492,493,24,25,26,27,20,21,22,23,927,28,29,407,406,405,404,403,402,401,400,933,932,931,930,937,629,409,408,628,758,379,378,829,828,371,370,373,372,375,374,377,376,708,709,704,705,706,707,700,618,702,703,393,392,88,89,397,396,395,394,82,83,80,81,86,87,84,85,797,796,795,794,793,792,791,790,799,798,7,601,607,586,587,584,585,582,583,580,581,588,589,245,244,247,246,241,240,243,242,615,249,248,924,970,925,519,518,926,511,510,513,512,515,514,517,516,458,459,621,620,627,626,625,624,450,451,452,453,454,455,456,457,979,179,178,177,176,175,174,173,172,171,170,977,656,975,974,973,972,971,657,654,253,978,182,183,180,181,186,187,184,185,886,652,188,189,658,653,650,651,764,11,10,13,12,15,14,17,16,19,18,863,862,865,864,867,866,884,938,659,883,753,881,880,887,831,885,752,928,62,888,950,756,929,809,322,323,320,321,326,327,324,325,328,329,759,201,200,203,202,205,204,207,206,209,208,779,778,889,77,76,75,74,73,72,71,70,655,79,78,2,805,804,669,668,667,666,665,664,663,662,661,660,769,692,693,690,691,696,697,694,695,698,699,542,543,540,541,546,547,544,545,8,548,549,68,598,995,869,997,996,991,990,993,868,999,998,120,121,122,123,124,125,126,127,128,129,765,414,415,416,417,410,411,412,413,920,498,922,923,418,419,776,499,319,318,313,312,311,310,317,316,315,314,861,921,496,832,833,830,497,836,837,834,835,838,839,808,3,725,368,369,366,367,364,365,362,363,360,361,959,952,882,380,381,382,383,384,385,386,387,388,389,784,785,786,787,780,781,782,783,788,789,860,605,579,578,604,573,572,571,570,577,576,575,574,60,61,258,259,64,65,66,67,252,69,250,251,256,257,254,255,603,602,939,731,730,733,732,735,734,508,509,506,507,504,505,502,503,500,501,630,631,632,633,469,468,636,637,465,464,467,466,461,460,463,462,901,168,169,164,165,166,167,160,161,162,163,964,965,966,967,960,961,962,963,968,969,936,935,934,908,909,600,878,879,876,877,874,875,872,873,870,871,9,890,891,892,893,894,647,896,897,898,899,646,649,648,357,356,355,354,353,352,351,350,803,802,801,800,807,806,359,358,216,217,214,215,212,213,210,211,762,763,760,761,766,767,218,219,957,956,289,288,4,281,280,283,282,285,284,287,286,678,679,674,675,676,677,670,671,672,673,263,262,261,260,267,266,265,264,269,268,701,59,58,55,54,57,56,51,50,53,52,537,536,535,63,533,532,531,530,539,538,987,775,988,989,774,982,983,980,981,986,777,984,985,115,114,117,116,111,110,113,112,771,119,118,770,773,772,953,429,428,534,919,918,421,420,423,422,425,424,427,426,308,309,855,300,301,302,303,304,305,306,307,895,825,824,827,847,846,845,826,843,842,841,840,821,853,849,820,823,822,954,568,569,751,750,757,737,755,754,560,561,562,563,564,565,566,567,739,229,228,227,226,225,224,223,222,221,220,391,726,727,724,390,722,723,720,721,728,729,151,150,153,152,155,154,157,156,159,158,609,608,976,634,399,635,749,958,398,48,49,46,47,44,45,42,43,40,41,638,5,639,489,488,487,486,485,484,483,482,481,480,955,472,473,470,471,476,477,474,475,478,479)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("simpleFilterTest_ on data syn_2659x1049", simpleFilterTest_syn_2659x1049_79(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_simpleFilterTest_test_26cols_multi_space_sep_87.R b/R/tests/testdir_autoGen/runit_simpleFilterTest_test_26cols_multi_space_sep_87.R new file mode 100644 index 0000000000..e346f9d3df --- /dev/null +++ b/R/tests/testdir_autoGen/runit_simpleFilterTest_test_26cols_multi_space_sep_87.R @@ -0,0 +1,119 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + simpleFilterTest_test_26cols_multi_space_sep_87 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <>=> ") + Log.info("Uploading test_26cols_multi_space_sep") + hex <- h2o.uploadFile(conn, "../../smalldata/test/test_26cols_multi_space_sep.csv", "rtest_26cols_multi_space_sep.hex") + Log.info("Filtering out rows by >= from dataset test_26cols_multi_space_sep and column \"A\" using value 1.0") + filterHex <- hex[hex[,c("A")] >= 1.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"A" >= 1.0,] + Log.info("Filtering out rows by >= from dataset test_26cols_multi_space_sep and column \"N\" using value 14.0") + filterHex <- hex[hex[,c("N")] >= 14.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"N" >= 14.0,] + Log.info("Filtering out rows by >= from dataset test_26cols_multi_space_sep and column \"J\" using value 10.0") + filterHex <- hex[hex[,c("J")] >= 10.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"J" >= 10.0,] + Log.info("Filtering out rows by >= from dataset test_26cols_multi_space_sep and column \"K\" using value 11.0") + filterHex <- hex[hex[,c("K")] >= 11.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"K" >= 11.0,] + Log.info("Filtering out rows by >= from dataset test_26cols_multi_space_sep and column \"K\" using value 11.0") + filterHex <- hex[hex[,c("K")] >= 11.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"K" >= 11.0,] + Log.info("Filtering out rows by >= from dataset test_26cols_multi_space_sep and column \"I\" using value 9.0") + filterHex <- hex[hex[,c("I")] >= 9.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"I" >= 9.0,] + Log.info("Filtering out rows by >= from dataset test_26cols_multi_space_sep and column \"C\" using value 3.0") + filterHex <- hex[hex[,c("C")] >= 3.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"C" >= 3.0,] + Log.info("Filtering out rows by >= from dataset test_26cols_multi_space_sep and column \"X\" using value 24.0") + filterHex <- hex[hex[,c("X")] >= 24.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"X" >= 24.0,] + Log.info("Filtering out rows by >= from dataset test_26cols_multi_space_sep and column \"W\" using value 23.0") + filterHex <- hex[hex[,c("W")] >= 23.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"W" >= 23.0,] + Log.info("Filtering out rows by >= from dataset test_26cols_multi_space_sep and column \"I\" using value 9.0") + filterHex <- hex[hex[,c("I")] >= 9.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"I" >= 9.0,] + Log.info("Filtering out rows by >= from dataset test_26cols_multi_space_sep and column \"Q\" using value 17.0") + filterHex <- hex[hex[,c("Q")] >= 17.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"Q" >= 17.0,] + Log.info("Filtering out rows by >= from dataset test_26cols_multi_space_sep and column \"H\" using value 8.0") + filterHex <- hex[hex[,c("H")] >= 8.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"H" >= 8.0,] + Log.info("Filtering out rows by >= from dataset test_26cols_multi_space_sep and column \"Q\" using value 17.0") + filterHex <- hex[hex[,c("Q")] >= 17.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"Q" >= 17.0,] + Log.info("Filtering out rows by >= from dataset test_26cols_multi_space_sep and column \"M\" using value 13.0, and also subsetting columns.") + filterHex <- hex[hex[,c("M")] >= 13.0, c("M")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("M")] >= 13.0, c("G","P","E","C","A","Z","O","X","J","H","V","T","R","F","Q","D","B","N","Y","L","M","K","I","W","U","S")] + Log.info("Filtering out rows by >= from dataset test_26cols_multi_space_sep and column \"Y\" using value 25.0, and also subsetting columns.") + filterHex <- hex[hex[,c("Y")] >= 25.0, c("Y")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("Y")] >= 25.0, c("G","P","E","C","A","Z","O","X","J","H","V","T","R","F","Q","D","B","N","Y","L","M","K","I","W","U","S")] + Log.info("Filtering out rows by >= from dataset test_26cols_multi_space_sep and column \"K\" using value 11.0, and also subsetting columns.") + filterHex <- hex[hex[,c("K")] >= 11.0, c("K")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("K")] >= 11.0, c("G","P","E","C","A","Z","O","X","J","H","V","T","R","F","Q","D","B","N","Y","L","M","K","I","W","U","S")] + Log.info("Filtering out rows by >= from dataset test_26cols_multi_space_sep and column \"F\" using value 6.0, and also subsetting columns.") + filterHex <- hex[hex[,c("F")] >= 6.0, c("F")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("F")] >= 6.0, c("G","P","E","C","A","Z","O","X","J","H","V","T","R","F","Q","D","B","N","Y","L","M","K","I","W","U","S")] + Log.info("Filtering out rows by >= from dataset test_26cols_multi_space_sep and column \"X\" using value 24.0, and also subsetting columns.") + filterHex <- hex[hex[,c("X")] >= 24.0, c("X")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("X")] >= 24.0, c("G","P","E","C","A","Z","O","X","J","H","V","T","R","F","Q","D","B","N","Y","L","M","K","I","W","U","S")] + Log.info("Filtering out rows by >= from dataset test_26cols_multi_space_sep and column \"P\" using value 16.0, and also subsetting columns.") + filterHex <- hex[hex[,c("P")] >= 16.0, c("P")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("P")] >= 16.0, c("G","P","E","C","A","Z","O","X","J","H","V","T","R","F","Q","D","B","N","Y","L","M","K","I","W","U","S")] + Log.info("Filtering out rows by >= from dataset test_26cols_multi_space_sep and column \"F\" using value 6.0, and also subsetting columns.") + filterHex <- hex[hex[,c("F")] >= 6.0, c("F")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("F")] >= 6.0, c("G","P","E","C","A","Z","O","X","J","H","V","T","R","F","Q","D","B","N","Y","L","M","K","I","W","U","S")] + Log.info("Filtering out rows by >= from dataset test_26cols_multi_space_sep and column \"L\" using value 12.0, and also subsetting columns.") + filterHex <- hex[hex[,c("L")] >= 12.0, c("L")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("L")] >= 12.0, c("G","P","E","C","A","Z","O","X","J","H","V","T","R","F","Q","D","B","N","Y","L","M","K","I","W","U","S")] + Log.info("Filtering out rows by >= from dataset test_26cols_multi_space_sep and column \"K\" using value 11.0, and also subsetting columns.") + filterHex <- hex[hex[,c("K")] >= 11.0, c("K")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("K")] >= 11.0, c("G","P","E","C","A","Z","O","X","J","H","V","T","R","F","Q","D","B","N","Y","L","M","K","I","W","U","S")] + Log.info("Filtering out rows by >= from dataset test_26cols_multi_space_sep and column \"F\" using value 6.0, and also subsetting columns.") + filterHex <- hex[hex[,c("F")] >= 6.0, c("F")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("F")] >= 6.0, c("G","P","E","C","A","Z","O","X","J","H","V","T","R","F","Q","D","B","N","Y","L","M","K","I","W","U","S")] + Log.info("Filtering out rows by >= from dataset test_26cols_multi_space_sep and column \"H\" using value 8.0, and also subsetting columns.") + filterHex <- hex[hex[,c("H")] >= 8.0, c("H")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("H")] >= 8.0, c("G","P","E","C","A","Z","O","X","J","H","V","T","R","F","Q","D","B","N","Y","L","M","K","I","W","U","S")] + Log.info("Filtering out rows by >= from dataset test_26cols_multi_space_sep and column \"C\" using value 3.0, and also subsetting columns.") + filterHex <- hex[hex[,c("C")] >= 3.0, c("C")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("C")] >= 3.0, c("G","P","E","C","A","Z","O","X","J","H","V","T","R","F","Q","D","B","N","Y","L","M","K","I","W","U","S")] + Log.info("Filtering out rows by >= from dataset test_26cols_multi_space_sep and column \"B\" using value 2.0, and also subsetting columns.") + filterHex <- hex[hex[,c("B")] >= 2.0, c("B")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("B")] >= 2.0, c("G","P","E","C","A","Z","O","X","J","H","V","T","R","F","Q","D","B","N","Y","L","M","K","I","W","U","S")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("simpleFilterTest_ on data test_26cols_multi_space_sep", simpleFilterTest_test_26cols_multi_space_sep_87(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_simpleFilterTest_test_88.R b/R/tests/testdir_autoGen/runit_simpleFilterTest_test_88.R new file mode 100644 index 0000000000..8a51752d44 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_simpleFilterTest_test_88.R @@ -0,0 +1,55 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + simpleFilterTest_test_88 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <>=> ") + Log.info("Uploading test") + hex <- h2o.uploadFile(conn, "../../smalldata/chess/chess_2x2x10/h2o/test.csv", "rtest.hex") + Log.info("Filtering out rows by >= from dataset test and column \"x\" using value 1.58851039877") + filterHex <- hex[hex[,c("x")] >= 1.58851039877,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"x" >= 1.58851039877,] + Log.info("Filtering out rows by >= from dataset test and column \"x\" using value 0.800950706212") + filterHex <- hex[hex[,c("x")] >= 0.800950706212,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"x" >= 0.800950706212,] + Log.info("Filtering out rows by >= from dataset test and column \"x\" using value 1.08814154861") + filterHex <- hex[hex[,c("x")] >= 1.08814154861,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"x" >= 1.08814154861,] + Log.info("Filtering out rows by >= from dataset test and column \"y\" using value 1.15565441662") + filterHex <- hex[hex[,c("y")] >= 1.15565441662,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"y" >= 1.15565441662,] + Log.info("Filtering out rows by >= from dataset test and column \"y\" using value 1.77104459979") + filterHex <- hex[hex[,c("y")] >= 1.77104459979,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"y" >= 1.77104459979,] + Log.info("Filtering out rows by >= from dataset test and column \"x\" using value 1.68804484707, and also subsetting columns.") + filterHex <- hex[hex[,c("x")] >= 1.68804484707, c("x")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("x")] >= 1.68804484707, c("color","x","y")] + Log.info("Filtering out rows by >= from dataset test and column \"x\" using value 0.550714302006, and also subsetting columns.") + filterHex <- hex[hex[,c("x")] >= 0.550714302006, c("x")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("x")] >= 0.550714302006, c("color","x","y")] + Log.info("Filtering out rows by >= from dataset test and column \"x\" using value 1.61893543459, and also subsetting columns.") + filterHex <- hex[hex[,c("x")] >= 1.61893543459, c("x")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("x")] >= 1.61893543459, c("color","x","y")] + Log.info("Filtering out rows by >= from dataset test and column \"y\" using value 0.776487170637, and also subsetting columns.") + filterHex <- hex[hex[,c("y")] >= 0.776487170637, c("y")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("y")] >= 0.776487170637, c("color","x","y")] + Log.info("Filtering out rows by >= from dataset test and column \"x\" using value 1.52451613748, and also subsetting columns.") + filterHex <- hex[hex[,c("x")] >= 1.52451613748, c("x")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("x")] >= 1.52451613748, c("color","x","y")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("simpleFilterTest_ on data test", simpleFilterTest_test_88(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_simpleFilterTest_test_all_raw_top10rows_82.R b/R/tests/testdir_autoGen/runit_simpleFilterTest_test_all_raw_top10rows_82.R new file mode 100644 index 0000000000..baa309ded0 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_simpleFilterTest_test_all_raw_top10rows_82.R @@ -0,0 +1,135 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + simpleFilterTest_test_all_raw_top10rows_82 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <>=> ") + Log.info("Uploading test_all_raw_top10rows") + hex <- h2o.uploadFile(conn, "../../smalldata/test/test_all_raw_top10rows.csv", "rtest_all_raw_top10rows.hex") + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"white_percent\" using value 0.373611192631") + filterHex <- hex[hex[,c("white_percent")] >= 0.373611192631,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"white_percent" >= 0.373611192631,] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"TU_Cx\" using value 0.0") + filterHex <- hex[hex[,c("TU_Cx")] >= 0.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"TU_Cx" >= 0.0,] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"Verified\" using value 1.0") + filterHex <- hex[hex[,c("Verified")] >= 1.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"Verified" >= 1.0,] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"female_percent\" using value 0.527432579562") + filterHex <- hex[hex[,c("female_percent")] >= 0.527432579562,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"female_percent" >= 0.527432579562,] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"checkpointscore\" using value 601.667756575") + filterHex <- hex[hex[,c("checkpointscore")] >= 601.667756575,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"checkpointscore" >= 601.667756575,] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"TU_pass\" using value 0.833737892493") + filterHex <- hex[hex[,c("TU_pass")] >= 0.833737892493,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"TU_pass" >= 0.833737892493,] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"IncomePerHousehold\" using value 44190.1838632") + filterHex <- hex[hex[,c("IncomePerHousehold")] >= 44190.1838632,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"IncomePerHousehold" >= 44190.1838632,] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"LN_Cx\" using value 0.0348471621529") + filterHex <- hex[hex[,c("LN_Cx")] >= 0.0348471621529,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"LN_Cx" >= 0.0348471621529,] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"CBSAPop2003\" using value 3194487.98154") + filterHex <- hex[hex[,c("CBSAPop2003")] >= 3194487.98154,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"CBSAPop2003" >= 3194487.98154,] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"CBSAPop2003\" using value 5172772.66747") + filterHex <- hex[hex[,c("CBSAPop2003")] >= 5172772.66747,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"CBSAPop2003" >= 5172772.66747,] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"MSA\" using value 1017.77903824") + filterHex <- hex[hex[,c("MSA")] >= 1017.77903824,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"MSA" >= 1017.77903824,] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"WaterArea\" using value 0.0882574276318") + filterHex <- hex[hex[,c("WaterArea")] >= 0.0882574276318,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"WaterArea" >= 0.0882574276318,] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"GrowthIncreaseNumber\" using value 0.0") + filterHex <- hex[hex[,c("GrowthIncreaseNumber")] >= 0.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"GrowthIncreaseNumber" >= 0.0,] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"Month\" using value 8.0") + filterHex <- hex[hex[,c("Month")] >= 8.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"Month" >= 8.0,] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"BlackPopulation\" using value 60306.8022515") + filterHex <- hex[hex[,c("BlackPopulation")] >= 60306.8022515,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"BlackPopulation" >= 60306.8022515,] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"OtherPopulation\" using value 6251.88152171, and also subsetting columns.") + filterHex <- hex[hex[,c("OtherPopulation")] >= 6251.88152171, c("OtherPopulation")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("OtherPopulation")] >= 6251.88152171, c("MSA","AsianPopulation","WhitePopulation","Experian_Cx","WebApp","RegisteredOnline","TimeZone","region","BusinessFirstQuarterPayroll","IndianPopulation","Activated","CityType","Elevation","division","GrowthIncreaseNumber","levelonedecisioncode","Appid","CBSAPop2003","TU_pass","MedianAgeMale","id","Srvy_Plan2DD","Choicepoint_Cx","Population","Verified","DeliveryResidential","AnsweredSurvey","Randm","TimeofDay","PlasticTypeID","GrowthIncreasePercentage","PlanType","GrowthRank","CBSA","Experian_pass","Srvy_bythngs_online","PlasticType","female_percent","Day_Week","LN_pass","PopulationEstimate","BlackPopulation","MalePopulation","MedianAge","GrowthHousingUnits2004","grade","CBSADivPop2003","sex","white_percent","AverageHouseValue","clientkey","DeliveryTotal","male_percent","age","CBSA_Div","checkpointscore","GrowthHousingUnits2003","Innovis_pass","Has_bnk_AC","WaterArea","Innovis_Cx","OtherPopulation","entereddate","PersonsPerHousehold","DeliveryBusiness","Choicepoint_pass","applicationid","hispanic_percent","Month","FeePlanID","HispanicPopulation","NumberOfEmployees","TU_Cx","MedianAgeFemale","HouseholdsPerZipCode","HawaiianPopulation","BusinessAnnualPayroll","LandArea","LN_Cx","OnDD","Channel","FemalePopulation","NumberOfBusinesses","IncomePerHousehold","DayLightSaving","zip","PMSA","black_percent","CSA")] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"TU_pass\" using value 0.819449309677, and also subsetting columns.") + filterHex <- hex[hex[,c("TU_pass")] >= 0.819449309677, c("TU_pass")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("TU_pass")] >= 0.819449309677, c("MSA","AsianPopulation","WhitePopulation","Experian_Cx","WebApp","RegisteredOnline","TimeZone","region","BusinessFirstQuarterPayroll","IndianPopulation","Activated","CityType","Elevation","division","GrowthIncreaseNumber","levelonedecisioncode","Appid","CBSAPop2003","TU_pass","MedianAgeMale","id","Srvy_Plan2DD","Choicepoint_Cx","Population","Verified","DeliveryResidential","AnsweredSurvey","Randm","TimeofDay","PlasticTypeID","GrowthIncreasePercentage","PlanType","GrowthRank","CBSA","Experian_pass","Srvy_bythngs_online","PlasticType","female_percent","Day_Week","LN_pass","PopulationEstimate","BlackPopulation","MalePopulation","MedianAge","GrowthHousingUnits2004","grade","CBSADivPop2003","sex","white_percent","AverageHouseValue","clientkey","DeliveryTotal","male_percent","age","CBSA_Div","checkpointscore","GrowthHousingUnits2003","Innovis_pass","Has_bnk_AC","WaterArea","Innovis_Cx","OtherPopulation","entereddate","PersonsPerHousehold","DeliveryBusiness","Choicepoint_pass","applicationid","hispanic_percent","Month","FeePlanID","HispanicPopulation","NumberOfEmployees","TU_Cx","MedianAgeFemale","HouseholdsPerZipCode","HawaiianPopulation","BusinessAnnualPayroll","LandArea","LN_Cx","OnDD","Channel","FemalePopulation","NumberOfBusinesses","IncomePerHousehold","DayLightSaving","zip","PMSA","black_percent","CSA")] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"CBSA\" using value 11967.634301, and also subsetting columns.") + filterHex <- hex[hex[,c("CBSA")] >= 11967.634301, c("CBSA")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("CBSA")] >= 11967.634301, c("MSA","AsianPopulation","WhitePopulation","Experian_Cx","WebApp","RegisteredOnline","TimeZone","region","BusinessFirstQuarterPayroll","IndianPopulation","Activated","CityType","Elevation","division","GrowthIncreaseNumber","levelonedecisioncode","Appid","CBSAPop2003","TU_pass","MedianAgeMale","id","Srvy_Plan2DD","Choicepoint_Cx","Population","Verified","DeliveryResidential","AnsweredSurvey","Randm","TimeofDay","PlasticTypeID","GrowthIncreasePercentage","PlanType","GrowthRank","CBSA","Experian_pass","Srvy_bythngs_online","PlasticType","female_percent","Day_Week","LN_pass","PopulationEstimate","BlackPopulation","MalePopulation","MedianAge","GrowthHousingUnits2004","grade","CBSADivPop2003","sex","white_percent","AverageHouseValue","clientkey","DeliveryTotal","male_percent","age","CBSA_Div","checkpointscore","GrowthHousingUnits2003","Innovis_pass","Has_bnk_AC","WaterArea","Innovis_Cx","OtherPopulation","entereddate","PersonsPerHousehold","DeliveryBusiness","Choicepoint_pass","applicationid","hispanic_percent","Month","FeePlanID","HispanicPopulation","NumberOfEmployees","TU_Cx","MedianAgeFemale","HouseholdsPerZipCode","HawaiianPopulation","BusinessAnnualPayroll","LandArea","LN_Cx","OnDD","Channel","FemalePopulation","NumberOfBusinesses","IncomePerHousehold","DayLightSaving","zip","PMSA","black_percent","CSA")] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"Day_Week\" using value 1.0, and also subsetting columns.") + filterHex <- hex[hex[,c("Day_Week")] >= 1.0, c("Day_Week")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("Day_Week")] >= 1.0, c("MSA","AsianPopulation","WhitePopulation","Experian_Cx","WebApp","RegisteredOnline","TimeZone","region","BusinessFirstQuarterPayroll","IndianPopulation","Activated","CityType","Elevation","division","GrowthIncreaseNumber","levelonedecisioncode","Appid","CBSAPop2003","TU_pass","MedianAgeMale","id","Srvy_Plan2DD","Choicepoint_Cx","Population","Verified","DeliveryResidential","AnsweredSurvey","Randm","TimeofDay","PlasticTypeID","GrowthIncreasePercentage","PlanType","GrowthRank","CBSA","Experian_pass","Srvy_bythngs_online","PlasticType","female_percent","Day_Week","LN_pass","PopulationEstimate","BlackPopulation","MalePopulation","MedianAge","GrowthHousingUnits2004","grade","CBSADivPop2003","sex","white_percent","AverageHouseValue","clientkey","DeliveryTotal","male_percent","age","CBSA_Div","checkpointscore","GrowthHousingUnits2003","Innovis_pass","Has_bnk_AC","WaterArea","Innovis_Cx","OtherPopulation","entereddate","PersonsPerHousehold","DeliveryBusiness","Choicepoint_pass","applicationid","hispanic_percent","Month","FeePlanID","HispanicPopulation","NumberOfEmployees","TU_Cx","MedianAgeFemale","HouseholdsPerZipCode","HawaiianPopulation","BusinessAnnualPayroll","LandArea","LN_Cx","OnDD","Channel","FemalePopulation","NumberOfBusinesses","IncomePerHousehold","DayLightSaving","zip","PMSA","black_percent","CSA")] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"hispanic_percent\" using value 0.340860415015, and also subsetting columns.") + filterHex <- hex[hex[,c("hispanic_percent")] >= 0.340860415015, c("hispanic_percent")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("hispanic_percent")] >= 0.340860415015, c("MSA","AsianPopulation","WhitePopulation","Experian_Cx","WebApp","RegisteredOnline","TimeZone","region","BusinessFirstQuarterPayroll","IndianPopulation","Activated","CityType","Elevation","division","GrowthIncreaseNumber","levelonedecisioncode","Appid","CBSAPop2003","TU_pass","MedianAgeMale","id","Srvy_Plan2DD","Choicepoint_Cx","Population","Verified","DeliveryResidential","AnsweredSurvey","Randm","TimeofDay","PlasticTypeID","GrowthIncreasePercentage","PlanType","GrowthRank","CBSA","Experian_pass","Srvy_bythngs_online","PlasticType","female_percent","Day_Week","LN_pass","PopulationEstimate","BlackPopulation","MalePopulation","MedianAge","GrowthHousingUnits2004","grade","CBSADivPop2003","sex","white_percent","AverageHouseValue","clientkey","DeliveryTotal","male_percent","age","CBSA_Div","checkpointscore","GrowthHousingUnits2003","Innovis_pass","Has_bnk_AC","WaterArea","Innovis_Cx","OtherPopulation","entereddate","PersonsPerHousehold","DeliveryBusiness","Choicepoint_pass","applicationid","hispanic_percent","Month","FeePlanID","HispanicPopulation","NumberOfEmployees","TU_Cx","MedianAgeFemale","HouseholdsPerZipCode","HawaiianPopulation","BusinessAnnualPayroll","LandArea","LN_Cx","OnDD","Channel","FemalePopulation","NumberOfBusinesses","IncomePerHousehold","DayLightSaving","zip","PMSA","black_percent","CSA")] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"PMSA\" using value 2843.40734751, and also subsetting columns.") + filterHex <- hex[hex[,c("PMSA")] >= 2843.40734751, c("PMSA")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("PMSA")] >= 2843.40734751, c("MSA","AsianPopulation","WhitePopulation","Experian_Cx","WebApp","RegisteredOnline","TimeZone","region","BusinessFirstQuarterPayroll","IndianPopulation","Activated","CityType","Elevation","division","GrowthIncreaseNumber","levelonedecisioncode","Appid","CBSAPop2003","TU_pass","MedianAgeMale","id","Srvy_Plan2DD","Choicepoint_Cx","Population","Verified","DeliveryResidential","AnsweredSurvey","Randm","TimeofDay","PlasticTypeID","GrowthIncreasePercentage","PlanType","GrowthRank","CBSA","Experian_pass","Srvy_bythngs_online","PlasticType","female_percent","Day_Week","LN_pass","PopulationEstimate","BlackPopulation","MalePopulation","MedianAge","GrowthHousingUnits2004","grade","CBSADivPop2003","sex","white_percent","AverageHouseValue","clientkey","DeliveryTotal","male_percent","age","CBSA_Div","checkpointscore","GrowthHousingUnits2003","Innovis_pass","Has_bnk_AC","WaterArea","Innovis_Cx","OtherPopulation","entereddate","PersonsPerHousehold","DeliveryBusiness","Choicepoint_pass","applicationid","hispanic_percent","Month","FeePlanID","HispanicPopulation","NumberOfEmployees","TU_Cx","MedianAgeFemale","HouseholdsPerZipCode","HawaiianPopulation","BusinessAnnualPayroll","LandArea","LN_Cx","OnDD","Channel","FemalePopulation","NumberOfBusinesses","IncomePerHousehold","DayLightSaving","zip","PMSA","black_percent","CSA")] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"GrowthHousingUnits2004\" using value 0.0, and also subsetting columns.") + filterHex <- hex[hex[,c("GrowthHousingUnits2004")] >= 0.0, c("GrowthHousingUnits2004")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("GrowthHousingUnits2004")] >= 0.0, c("MSA","AsianPopulation","WhitePopulation","Experian_Cx","WebApp","RegisteredOnline","TimeZone","region","BusinessFirstQuarterPayroll","IndianPopulation","Activated","CityType","Elevation","division","GrowthIncreaseNumber","levelonedecisioncode","Appid","CBSAPop2003","TU_pass","MedianAgeMale","id","Srvy_Plan2DD","Choicepoint_Cx","Population","Verified","DeliveryResidential","AnsweredSurvey","Randm","TimeofDay","PlasticTypeID","GrowthIncreasePercentage","PlanType","GrowthRank","CBSA","Experian_pass","Srvy_bythngs_online","PlasticType","female_percent","Day_Week","LN_pass","PopulationEstimate","BlackPopulation","MalePopulation","MedianAge","GrowthHousingUnits2004","grade","CBSADivPop2003","sex","white_percent","AverageHouseValue","clientkey","DeliveryTotal","male_percent","age","CBSA_Div","checkpointscore","GrowthHousingUnits2003","Innovis_pass","Has_bnk_AC","WaterArea","Innovis_Cx","OtherPopulation","entereddate","PersonsPerHousehold","DeliveryBusiness","Choicepoint_pass","applicationid","hispanic_percent","Month","FeePlanID","HispanicPopulation","NumberOfEmployees","TU_Cx","MedianAgeFemale","HouseholdsPerZipCode","HawaiianPopulation","BusinessAnnualPayroll","LandArea","LN_Cx","OnDD","Channel","FemalePopulation","NumberOfBusinesses","IncomePerHousehold","DayLightSaving","zip","PMSA","black_percent","CSA")] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"GrowthHousingUnits2004\" using value 0.0, and also subsetting columns.") + filterHex <- hex[hex[,c("GrowthHousingUnits2004")] >= 0.0, c("GrowthHousingUnits2004")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("GrowthHousingUnits2004")] >= 0.0, c("MSA","AsianPopulation","WhitePopulation","Experian_Cx","WebApp","RegisteredOnline","TimeZone","region","BusinessFirstQuarterPayroll","IndianPopulation","Activated","CityType","Elevation","division","GrowthIncreaseNumber","levelonedecisioncode","Appid","CBSAPop2003","TU_pass","MedianAgeMale","id","Srvy_Plan2DD","Choicepoint_Cx","Population","Verified","DeliveryResidential","AnsweredSurvey","Randm","TimeofDay","PlasticTypeID","GrowthIncreasePercentage","PlanType","GrowthRank","CBSA","Experian_pass","Srvy_bythngs_online","PlasticType","female_percent","Day_Week","LN_pass","PopulationEstimate","BlackPopulation","MalePopulation","MedianAge","GrowthHousingUnits2004","grade","CBSADivPop2003","sex","white_percent","AverageHouseValue","clientkey","DeliveryTotal","male_percent","age","CBSA_Div","checkpointscore","GrowthHousingUnits2003","Innovis_pass","Has_bnk_AC","WaterArea","Innovis_Cx","OtherPopulation","entereddate","PersonsPerHousehold","DeliveryBusiness","Choicepoint_pass","applicationid","hispanic_percent","Month","FeePlanID","HispanicPopulation","NumberOfEmployees","TU_Cx","MedianAgeFemale","HouseholdsPerZipCode","HawaiianPopulation","BusinessAnnualPayroll","LandArea","LN_Cx","OnDD","Channel","FemalePopulation","NumberOfBusinesses","IncomePerHousehold","DayLightSaving","zip","PMSA","black_percent","CSA")] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"AsianPopulation\" using value 500.410240381, and also subsetting columns.") + filterHex <- hex[hex[,c("AsianPopulation")] >= 500.410240381, c("AsianPopulation")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("AsianPopulation")] >= 500.410240381, c("MSA","AsianPopulation","WhitePopulation","Experian_Cx","WebApp","RegisteredOnline","TimeZone","region","BusinessFirstQuarterPayroll","IndianPopulation","Activated","CityType","Elevation","division","GrowthIncreaseNumber","levelonedecisioncode","Appid","CBSAPop2003","TU_pass","MedianAgeMale","id","Srvy_Plan2DD","Choicepoint_Cx","Population","Verified","DeliveryResidential","AnsweredSurvey","Randm","TimeofDay","PlasticTypeID","GrowthIncreasePercentage","PlanType","GrowthRank","CBSA","Experian_pass","Srvy_bythngs_online","PlasticType","female_percent","Day_Week","LN_pass","PopulationEstimate","BlackPopulation","MalePopulation","MedianAge","GrowthHousingUnits2004","grade","CBSADivPop2003","sex","white_percent","AverageHouseValue","clientkey","DeliveryTotal","male_percent","age","CBSA_Div","checkpointscore","GrowthHousingUnits2003","Innovis_pass","Has_bnk_AC","WaterArea","Innovis_Cx","OtherPopulation","entereddate","PersonsPerHousehold","DeliveryBusiness","Choicepoint_pass","applicationid","hispanic_percent","Month","FeePlanID","HispanicPopulation","NumberOfEmployees","TU_Cx","MedianAgeFemale","HouseholdsPerZipCode","HawaiianPopulation","BusinessAnnualPayroll","LandArea","LN_Cx","OnDD","Channel","FemalePopulation","NumberOfBusinesses","IncomePerHousehold","DayLightSaving","zip","PMSA","black_percent","CSA")] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"MedianAgeFemale\" using value 39.8649523983, and also subsetting columns.") + filterHex <- hex[hex[,c("MedianAgeFemale")] >= 39.8649523983, c("MedianAgeFemale")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("MedianAgeFemale")] >= 39.8649523983, c("MSA","AsianPopulation","WhitePopulation","Experian_Cx","WebApp","RegisteredOnline","TimeZone","region","BusinessFirstQuarterPayroll","IndianPopulation","Activated","CityType","Elevation","division","GrowthIncreaseNumber","levelonedecisioncode","Appid","CBSAPop2003","TU_pass","MedianAgeMale","id","Srvy_Plan2DD","Choicepoint_Cx","Population","Verified","DeliveryResidential","AnsweredSurvey","Randm","TimeofDay","PlasticTypeID","GrowthIncreasePercentage","PlanType","GrowthRank","CBSA","Experian_pass","Srvy_bythngs_online","PlasticType","female_percent","Day_Week","LN_pass","PopulationEstimate","BlackPopulation","MalePopulation","MedianAge","GrowthHousingUnits2004","grade","CBSADivPop2003","sex","white_percent","AverageHouseValue","clientkey","DeliveryTotal","male_percent","age","CBSA_Div","checkpointscore","GrowthHousingUnits2003","Innovis_pass","Has_bnk_AC","WaterArea","Innovis_Cx","OtherPopulation","entereddate","PersonsPerHousehold","DeliveryBusiness","Choicepoint_pass","applicationid","hispanic_percent","Month","FeePlanID","HispanicPopulation","NumberOfEmployees","TU_Cx","MedianAgeFemale","HouseholdsPerZipCode","HawaiianPopulation","BusinessAnnualPayroll","LandArea","LN_Cx","OnDD","Channel","FemalePopulation","NumberOfBusinesses","IncomePerHousehold","DayLightSaving","zip","PMSA","black_percent","CSA")] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"BlackPopulation\" using value 62220.9114589, and also subsetting columns.") + filterHex <- hex[hex[,c("BlackPopulation")] >= 62220.9114589, c("BlackPopulation")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("BlackPopulation")] >= 62220.9114589, c("MSA","AsianPopulation","WhitePopulation","Experian_Cx","WebApp","RegisteredOnline","TimeZone","region","BusinessFirstQuarterPayroll","IndianPopulation","Activated","CityType","Elevation","division","GrowthIncreaseNumber","levelonedecisioncode","Appid","CBSAPop2003","TU_pass","MedianAgeMale","id","Srvy_Plan2DD","Choicepoint_Cx","Population","Verified","DeliveryResidential","AnsweredSurvey","Randm","TimeofDay","PlasticTypeID","GrowthIncreasePercentage","PlanType","GrowthRank","CBSA","Experian_pass","Srvy_bythngs_online","PlasticType","female_percent","Day_Week","LN_pass","PopulationEstimate","BlackPopulation","MalePopulation","MedianAge","GrowthHousingUnits2004","grade","CBSADivPop2003","sex","white_percent","AverageHouseValue","clientkey","DeliveryTotal","male_percent","age","CBSA_Div","checkpointscore","GrowthHousingUnits2003","Innovis_pass","Has_bnk_AC","WaterArea","Innovis_Cx","OtherPopulation","entereddate","PersonsPerHousehold","DeliveryBusiness","Choicepoint_pass","applicationid","hispanic_percent","Month","FeePlanID","HispanicPopulation","NumberOfEmployees","TU_Cx","MedianAgeFemale","HouseholdsPerZipCode","HawaiianPopulation","BusinessAnnualPayroll","LandArea","LN_Cx","OnDD","Channel","FemalePopulation","NumberOfBusinesses","IncomePerHousehold","DayLightSaving","zip","PMSA","black_percent","CSA")] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"Month\" using value 8.0, and also subsetting columns.") + filterHex <- hex[hex[,c("Month")] >= 8.0, c("Month")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("Month")] >= 8.0, c("MSA","AsianPopulation","WhitePopulation","Experian_Cx","WebApp","RegisteredOnline","TimeZone","region","BusinessFirstQuarterPayroll","IndianPopulation","Activated","CityType","Elevation","division","GrowthIncreaseNumber","levelonedecisioncode","Appid","CBSAPop2003","TU_pass","MedianAgeMale","id","Srvy_Plan2DD","Choicepoint_Cx","Population","Verified","DeliveryResidential","AnsweredSurvey","Randm","TimeofDay","PlasticTypeID","GrowthIncreasePercentage","PlanType","GrowthRank","CBSA","Experian_pass","Srvy_bythngs_online","PlasticType","female_percent","Day_Week","LN_pass","PopulationEstimate","BlackPopulation","MalePopulation","MedianAge","GrowthHousingUnits2004","grade","CBSADivPop2003","sex","white_percent","AverageHouseValue","clientkey","DeliveryTotal","male_percent","age","CBSA_Div","checkpointscore","GrowthHousingUnits2003","Innovis_pass","Has_bnk_AC","WaterArea","Innovis_Cx","OtherPopulation","entereddate","PersonsPerHousehold","DeliveryBusiness","Choicepoint_pass","applicationid","hispanic_percent","Month","FeePlanID","HispanicPopulation","NumberOfEmployees","TU_Cx","MedianAgeFemale","HouseholdsPerZipCode","HawaiianPopulation","BusinessAnnualPayroll","LandArea","LN_Cx","OnDD","Channel","FemalePopulation","NumberOfBusinesses","IncomePerHousehold","DayLightSaving","zip","PMSA","black_percent","CSA")] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"TU_pass\" using value 0.305462258341, and also subsetting columns.") + filterHex <- hex[hex[,c("TU_pass")] >= 0.305462258341, c("TU_pass")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("TU_pass")] >= 0.305462258341, c("MSA","AsianPopulation","WhitePopulation","Experian_Cx","WebApp","RegisteredOnline","TimeZone","region","BusinessFirstQuarterPayroll","IndianPopulation","Activated","CityType","Elevation","division","GrowthIncreaseNumber","levelonedecisioncode","Appid","CBSAPop2003","TU_pass","MedianAgeMale","id","Srvy_Plan2DD","Choicepoint_Cx","Population","Verified","DeliveryResidential","AnsweredSurvey","Randm","TimeofDay","PlasticTypeID","GrowthIncreasePercentage","PlanType","GrowthRank","CBSA","Experian_pass","Srvy_bythngs_online","PlasticType","female_percent","Day_Week","LN_pass","PopulationEstimate","BlackPopulation","MalePopulation","MedianAge","GrowthHousingUnits2004","grade","CBSADivPop2003","sex","white_percent","AverageHouseValue","clientkey","DeliveryTotal","male_percent","age","CBSA_Div","checkpointscore","GrowthHousingUnits2003","Innovis_pass","Has_bnk_AC","WaterArea","Innovis_Cx","OtherPopulation","entereddate","PersonsPerHousehold","DeliveryBusiness","Choicepoint_pass","applicationid","hispanic_percent","Month","FeePlanID","HispanicPopulation","NumberOfEmployees","TU_Cx","MedianAgeFemale","HouseholdsPerZipCode","HawaiianPopulation","BusinessAnnualPayroll","LandArea","LN_Cx","OnDD","Channel","FemalePopulation","NumberOfBusinesses","IncomePerHousehold","DayLightSaving","zip","PMSA","black_percent","CSA")] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"WhitePopulation\" using value 9833.08056374, and also subsetting columns.") + filterHex <- hex[hex[,c("WhitePopulation")] >= 9833.08056374, c("WhitePopulation")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("WhitePopulation")] >= 9833.08056374, c("MSA","AsianPopulation","WhitePopulation","Experian_Cx","WebApp","RegisteredOnline","TimeZone","region","BusinessFirstQuarterPayroll","IndianPopulation","Activated","CityType","Elevation","division","GrowthIncreaseNumber","levelonedecisioncode","Appid","CBSAPop2003","TU_pass","MedianAgeMale","id","Srvy_Plan2DD","Choicepoint_Cx","Population","Verified","DeliveryResidential","AnsweredSurvey","Randm","TimeofDay","PlasticTypeID","GrowthIncreasePercentage","PlanType","GrowthRank","CBSA","Experian_pass","Srvy_bythngs_online","PlasticType","female_percent","Day_Week","LN_pass","PopulationEstimate","BlackPopulation","MalePopulation","MedianAge","GrowthHousingUnits2004","grade","CBSADivPop2003","sex","white_percent","AverageHouseValue","clientkey","DeliveryTotal","male_percent","age","CBSA_Div","checkpointscore","GrowthHousingUnits2003","Innovis_pass","Has_bnk_AC","WaterArea","Innovis_Cx","OtherPopulation","entereddate","PersonsPerHousehold","DeliveryBusiness","Choicepoint_pass","applicationid","hispanic_percent","Month","FeePlanID","HispanicPopulation","NumberOfEmployees","TU_Cx","MedianAgeFemale","HouseholdsPerZipCode","HawaiianPopulation","BusinessAnnualPayroll","LandArea","LN_Cx","OnDD","Channel","FemalePopulation","NumberOfBusinesses","IncomePerHousehold","DayLightSaving","zip","PMSA","black_percent","CSA")] + Log.info("Filtering out rows by >= from dataset test_all_raw_top10rows and column \"Elevation\" using value 37.5852524475, and also subsetting columns.") + filterHex <- hex[hex[,c("Elevation")] >= 37.5852524475, c("Elevation")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("Elevation")] >= 37.5852524475, c("MSA","AsianPopulation","WhitePopulation","Experian_Cx","WebApp","RegisteredOnline","TimeZone","region","BusinessFirstQuarterPayroll","IndianPopulation","Activated","CityType","Elevation","division","GrowthIncreaseNumber","levelonedecisioncode","Appid","CBSAPop2003","TU_pass","MedianAgeMale","id","Srvy_Plan2DD","Choicepoint_Cx","Population","Verified","DeliveryResidential","AnsweredSurvey","Randm","TimeofDay","PlasticTypeID","GrowthIncreasePercentage","PlanType","GrowthRank","CBSA","Experian_pass","Srvy_bythngs_online","PlasticType","female_percent","Day_Week","LN_pass","PopulationEstimate","BlackPopulation","MalePopulation","MedianAge","GrowthHousingUnits2004","grade","CBSADivPop2003","sex","white_percent","AverageHouseValue","clientkey","DeliveryTotal","male_percent","age","CBSA_Div","checkpointscore","GrowthHousingUnits2003","Innovis_pass","Has_bnk_AC","WaterArea","Innovis_Cx","OtherPopulation","entereddate","PersonsPerHousehold","DeliveryBusiness","Choicepoint_pass","applicationid","hispanic_percent","Month","FeePlanID","HispanicPopulation","NumberOfEmployees","TU_Cx","MedianAgeFemale","HouseholdsPerZipCode","HawaiianPopulation","BusinessAnnualPayroll","LandArea","LN_Cx","OnDD","Channel","FemalePopulation","NumberOfBusinesses","IncomePerHousehold","DayLightSaving","zip","PMSA","black_percent","CSA")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("simpleFilterTest_ on data test_all_raw_top10rows", simpleFilterTest_test_all_raw_top10rows_82(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_simpleFilterTest_test_enum_domain_size_85.R b/R/tests/testdir_autoGen/runit_simpleFilterTest_test_enum_domain_size_85.R new file mode 100644 index 0000000000..f3811a2396 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_simpleFilterTest_test_enum_domain_size_85.R @@ -0,0 +1,23 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + simpleFilterTest_test_enum_domain_size_85 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <>=> ") + Log.info("Uploading test_enum_domain_size") + hex <- h2o.uploadFile(conn, "../../smalldata/test/test_enum_domain_size.csv", "rtest_enum_domain_size.hex") + Log.info("Filtering out rows by >= from dataset test_enum_domain_size and column \"A2\" using value 6.0142160103") + filterHex <- hex[hex[,c("A2")] >= 6.0142160103,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"A2" >= 6.0142160103,] + Log.info("Filtering out rows by >= from dataset test_enum_domain_size and column \"A2\" using value 7.18818395456, and also subsetting columns.") + filterHex <- hex[hex[,c("A2")] >= 7.18818395456, c("A2")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("A2")] >= 7.18818395456, c("A1","A2","A3")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("simpleFilterTest_ on data test_enum_domain_size", simpleFilterTest_test_enum_domain_size_85(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_simpleFilterTest_tnc6_86.R b/R/tests/testdir_autoGen/runit_simpleFilterTest_tnc6_86.R new file mode 100644 index 0000000000..7212d4a384 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_simpleFilterTest_tnc6_86.R @@ -0,0 +1,71 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + simpleFilterTest_tnc6_86 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <>=> ") + Log.info("Uploading tnc6") + hex <- h2o.uploadFile(conn, "../../smalldata/tnc6.csv", "rtnc6.hex") + Log.info("Filtering out rows by >= from dataset tnc6 and column \"fare\" using value 345.781120709") + filterHex <- hex[hex[,c("fare")] >= 345.781120709,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"fare" >= 345.781120709,] + Log.info("Filtering out rows by >= from dataset tnc6 and column \"embarked\" using value -1.0") + filterHex <- hex[hex[,c("embarked")] >= -1.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"embarked" >= -1.0,] + Log.info("Filtering out rows by >= from dataset tnc6 and column \"ticket\" using value 2437677.42994") + filterHex <- hex[hex[,c("ticket")] >= 2437677.42994,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"ticket" >= 2437677.42994,] + Log.info("Filtering out rows by >= from dataset tnc6 and column \"ticket\" using value 2739892.27012") + filterHex <- hex[hex[,c("ticket")] >= 2739892.27012,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"ticket" >= 2739892.27012,] + Log.info("Filtering out rows by >= from dataset tnc6 and column \"cabin\" using value -1.0") + filterHex <- hex[hex[,c("cabin")] >= -1.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"cabin" >= -1.0,] + Log.info("Filtering out rows by >= from dataset tnc6 and column \"home.dest\" using value -1.0") + filterHex <- hex[hex[,c("home.dest")] >= -1.0,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"home.dest" >= -1.0,] + Log.info("Filtering out rows by >= from dataset tnc6 and column \"boat\" using value -0.789636568801") + filterHex <- hex[hex[,c("boat")] >= -0.789636568801,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"boat" >= -0.789636568801,] + Log.info("Filtering out rows by >= from dataset tnc6 and column \"cabin\" using value -1.0, and also subsetting columns.") + filterHex <- hex[hex[,c("cabin")] >= -1.0, c("cabin")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("cabin")] >= -1.0, c("boat","fare","ticket","survived","cabin","home.dest","body","embarked")] + Log.info("Filtering out rows by >= from dataset tnc6 and column \"survived\" using value 0.119096735457, and also subsetting columns.") + filterHex <- hex[hex[,c("survived")] >= 0.119096735457, c("survived")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("survived")] >= 0.119096735457, c("boat","fare","ticket","survived","cabin","home.dest","body","embarked")] + Log.info("Filtering out rows by >= from dataset tnc6 and column \"body\" using value 59.5500536592, and also subsetting columns.") + filterHex <- hex[hex[,c("body")] >= 59.5500536592, c("body")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("body")] >= 59.5500536592, c("boat","fare","ticket","survived","cabin","home.dest","body","embarked")] + Log.info("Filtering out rows by >= from dataset tnc6 and column \"embarked\" using value -1.0, and also subsetting columns.") + filterHex <- hex[hex[,c("embarked")] >= -1.0, c("embarked")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("embarked")] >= -1.0, c("boat","fare","ticket","survived","cabin","home.dest","body","embarked")] + Log.info("Filtering out rows by >= from dataset tnc6 and column \"body\" using value 147.770293355, and also subsetting columns.") + filterHex <- hex[hex[,c("body")] >= 147.770293355, c("body")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("body")] >= 147.770293355, c("boat","fare","ticket","survived","cabin","home.dest","body","embarked")] + Log.info("Filtering out rows by >= from dataset tnc6 and column \"body\" using value 113.62929003, and also subsetting columns.") + filterHex <- hex[hex[,c("body")] >= 113.62929003, c("body")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("body")] >= 113.62929003, c("boat","fare","ticket","survived","cabin","home.dest","body","embarked")] + Log.info("Filtering out rows by >= from dataset tnc6 and column \"fare\" using value 244.411659288, and also subsetting columns.") + filterHex <- hex[hex[,c("fare")] >= 244.411659288, c("fare")] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c("fare")] >= 244.411659288, c("boat","fare","ticket","survived","cabin","home.dest","body","embarked")] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("simpleFilterTest_ on data tnc6", simpleFilterTest_tnc6_86(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_simpleFilterTest_train_92.R b/R/tests/testdir_autoGen/runit_simpleFilterTest_train_92.R new file mode 100644 index 0000000000..f661dad6de --- /dev/null +++ b/R/tests/testdir_autoGen/runit_simpleFilterTest_train_92.R @@ -0,0 +1,31 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + simpleFilterTest_train_92 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <>=> ") + Log.info("Uploading train") + hex <- h2o.uploadFile(conn, "../../smalldata/chess/chess_2x2x500/weka/train.csv.arff", "rtrain.hex") + Log.info("Filtering out rows by >= from dataset train and column \"0\" using value 1.11015085512") + filterHex <- hex[hex[,c(1)] >= 1.11015085512,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"0" >= 1.11015085512,] + Log.info("Filtering out rows by >= from dataset train and column \"0\" using value 1.67072074359") + filterHex <- hex[hex[,c(1)] >= 1.67072074359,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"0" >= 1.67072074359,] + Log.info("Filtering out rows by >= from dataset train and column \"0\" using value 1.83431893517, and also subsetting columns.") + filterHex <- hex[hex[,c(1)] >= 1.83431893517, c(1)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(1)] >= 1.83431893517, c(1,2)] + Log.info("Filtering out rows by >= from dataset train and column \"1\" using value 1.4091105821, and also subsetting columns.") + filterHex <- hex[hex[,c(1)] >= 1.4091105821, c(1)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(1)] >= 1.4091105821, c(1,2)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("simpleFilterTest_ on data train", simpleFilterTest_train_92(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_simpleFilterTest_wine_95.R b/R/tests/testdir_autoGen/runit_simpleFilterTest_wine_95.R new file mode 100644 index 0000000000..37384148c1 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_simpleFilterTest_wine_95.R @@ -0,0 +1,207 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + simpleFilterTest_wine_95 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <>=> ") + Log.info("Uploading wine") + hex <- h2o.uploadFile(conn, "../../smalldata/wine.data", "rwine.hex") + Log.info("Filtering out rows by >= from dataset wine and column \"7\" using value 4.13686434529") + filterHex <- hex[hex[,c(7)] >= 4.13686434529,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"7" >= 4.13686434529,] + Log.info("Filtering out rows by >= from dataset wine and column \"5\" using value 128.275803622") + filterHex <- hex[hex[,c(5)] >= 128.275803622,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"5" >= 128.275803622,] + Log.info("Filtering out rows by >= from dataset wine and column \"3\" using value 1.47106365644") + filterHex <- hex[hex[,c(3)] >= 1.47106365644,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"3" >= 1.47106365644,] + Log.info("Filtering out rows by >= from dataset wine and column \"8\" using value 0.417570108183") + filterHex <- hex[hex[,c(8)] >= 0.417570108183,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"8" >= 0.417570108183,] + Log.info("Filtering out rows by >= from dataset wine and column \"10\" using value 2.63316522473") + filterHex <- hex[hex[,c(10)] >= 2.63316522473,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"10" >= 2.63316522473,] + Log.info("Filtering out rows by >= from dataset wine and column \"13\" using value 1615.1499715") + filterHex <- hex[hex[,c(13)] >= 1615.1499715,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"13" >= 1615.1499715,] + Log.info("Filtering out rows by >= from dataset wine and column \"9\" using value 2.66463027127") + filterHex <- hex[hex[,c(9)] >= 2.66463027127,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"9" >= 2.66463027127,] + Log.info("Filtering out rows by >= from dataset wine and column \"10\" using value 1.40580905873") + filterHex <- hex[hex[,c(10)] >= 1.40580905873,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"10" >= 1.40580905873,] + Log.info("Filtering out rows by >= from dataset wine and column \"2\" using value 1.86489503769") + filterHex <- hex[hex[,c(2)] >= 1.86489503769,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"2" >= 1.86489503769,] + Log.info("Filtering out rows by >= from dataset wine and column \"11\" using value 1.61417904997") + filterHex <- hex[hex[,c(11)] >= 1.61417904997,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"11" >= 1.61417904997,] + Log.info("Filtering out rows by >= from dataset wine and column \"4\" using value 24.1512827234") + filterHex <- hex[hex[,c(4)] >= 24.1512827234,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"4" >= 24.1512827234,] + Log.info("Filtering out rows by >= from dataset wine and column \"4\" using value 14.9176573235") + filterHex <- hex[hex[,c(4)] >= 14.9176573235,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"4" >= 14.9176573235,] + Log.info("Filtering out rows by >= from dataset wine and column \"9\" using value 1.73382164438") + filterHex <- hex[hex[,c(9)] >= 1.73382164438,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"9" >= 1.73382164438,] + Log.info("Filtering out rows by >= from dataset wine and column \"11\" using value 1.0425747511") + filterHex <- hex[hex[,c(11)] >= 1.0425747511,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"11" >= 1.0425747511,] + Log.info("Filtering out rows by >= from dataset wine and column \"4\" using value 28.4965733275") + filterHex <- hex[hex[,c(4)] >= 28.4965733275,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"4" >= 28.4965733275,] + Log.info("Filtering out rows by >= from dataset wine and column \"10\" using value 3.11873181524") + filterHex <- hex[hex[,c(10)] >= 3.11873181524,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"10" >= 3.11873181524,] + Log.info("Filtering out rows by >= from dataset wine and column \"12\" using value 2.90611512921") + filterHex <- hex[hex[,c(12)] >= 2.90611512921,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"12" >= 2.90611512921,] + Log.info("Filtering out rows by >= from dataset wine and column \"10\" using value 2.09970478205") + filterHex <- hex[hex[,c(10)] >= 2.09970478205,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"10" >= 2.09970478205,] + Log.info("Filtering out rows by >= from dataset wine and column \"0\" using value 1.2774504242") + filterHex <- hex[hex[,c(1)] >= 1.2774504242,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"0" >= 1.2774504242,] + Log.info("Filtering out rows by >= from dataset wine and column \"3\" using value 1.68247483187") + filterHex <- hex[hex[,c(3)] >= 1.68247483187,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"3" >= 1.68247483187,] + Log.info("Filtering out rows by >= from dataset wine and column \"2\" using value 2.44635357021") + filterHex <- hex[hex[,c(2)] >= 2.44635357021,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"2" >= 2.44635357021,] + Log.info("Filtering out rows by >= from dataset wine and column \"6\" using value 2.56816039709") + filterHex <- hex[hex[,c(6)] >= 2.56816039709,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"6" >= 2.56816039709,] + Log.info("Filtering out rows by >= from dataset wine and column \"4\" using value 20.1762944986") + filterHex <- hex[hex[,c(4)] >= 20.1762944986,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"4" >= 20.1762944986,] + Log.info("Filtering out rows by >= from dataset wine and column \"13\" using value 1374.24108797") + filterHex <- hex[hex[,c(13)] >= 1374.24108797,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"13" >= 1374.24108797,] + Log.info("Filtering out rows by >= from dataset wine and column \"11\" using value 1.28897935434, and also subsetting columns.") + filterHex <- hex[hex[,c(11)] >= 1.28897935434, c(11)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(11)] >= 1.28897935434, c(11,10,13,12,1,3,2,5,4,7,6,9,8)] + Log.info("Filtering out rows by >= from dataset wine and column \"9\" using value 3.43056320442, and also subsetting columns.") + filterHex <- hex[hex[,c(9)] >= 3.43056320442, c(9)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(9)] >= 3.43056320442, c(11,10,13,12,1,3,2,5,4,7,6,9,8)] + Log.info("Filtering out rows by >= from dataset wine and column \"0\" using value 1.63952586845, and also subsetting columns.") + filterHex <- hex[hex[,c(1)] >= 1.63952586845, c(1)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(1)] >= 1.63952586845, c(11,10,13,12,1,3,2,5,4,7,6,9,8)] + Log.info("Filtering out rows by >= from dataset wine and column \"10\" using value 9.01798323971, and also subsetting columns.") + filterHex <- hex[hex[,c(10)] >= 9.01798323971, c(10)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(10)] >= 9.01798323971, c(11,10,13,12,1,3,2,5,4,7,6,9,8)] + Log.info("Filtering out rows by >= from dataset wine and column \"4\" using value 19.8676247783, and also subsetting columns.") + filterHex <- hex[hex[,c(4)] >= 19.8676247783, c(4)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(4)] >= 19.8676247783, c(11,10,13,12,1,3,2,5,4,7,6,9,8)] + Log.info("Filtering out rows by >= from dataset wine and column \"1\" using value 13.1392627638, and also subsetting columns.") + filterHex <- hex[hex[,c(1)] >= 13.1392627638, c(1)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(1)] >= 13.1392627638, c(11,10,13,12,1,3,2,5,4,7,6,9,8)] + Log.info("Filtering out rows by >= from dataset wine and column \"10\" using value 3.15994053138, and also subsetting columns.") + filterHex <- hex[hex[,c(10)] >= 3.15994053138, c(10)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(10)] >= 3.15994053138, c(11,10,13,12,1,3,2,5,4,7,6,9,8)] + Log.info("Filtering out rows by >= from dataset wine and column \"10\" using value 9.00321265367, and also subsetting columns.") + filterHex <- hex[hex[,c(10)] >= 9.00321265367, c(10)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(10)] >= 9.00321265367, c(11,10,13,12,1,3,2,5,4,7,6,9,8)] + Log.info("Filtering out rows by >= from dataset wine and column \"8\" using value 0.34661045408, and also subsetting columns.") + filterHex <- hex[hex[,c(8)] >= 0.34661045408, c(8)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(8)] >= 0.34661045408, c(11,10,13,12,1,3,2,5,4,7,6,9,8)] + Log.info("Filtering out rows by >= from dataset wine and column \"13\" using value 350.703925486, and also subsetting columns.") + filterHex <- hex[hex[,c(13)] >= 350.703925486, c(13)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(13)] >= 350.703925486, c(11,10,13,12,1,3,2,5,4,7,6,9,8)] + Log.info("Filtering out rows by >= from dataset wine and column \"9\" using value 2.48159588499, and also subsetting columns.") + filterHex <- hex[hex[,c(9)] >= 2.48159588499, c(9)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(9)] >= 2.48159588499, c(11,10,13,12,1,3,2,5,4,7,6,9,8)] + Log.info("Filtering out rows by >= from dataset wine and column \"2\" using value 3.06556633009, and also subsetting columns.") + filterHex <- hex[hex[,c(2)] >= 3.06556633009, c(2)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(2)] >= 3.06556633009, c(11,10,13,12,1,3,2,5,4,7,6,9,8)] + Log.info("Filtering out rows by >= from dataset wine and column \"4\" using value 22.9376795053, and also subsetting columns.") + filterHex <- hex[hex[,c(4)] >= 22.9376795053, c(4)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(4)] >= 22.9376795053, c(11,10,13,12,1,3,2,5,4,7,6,9,8)] + Log.info("Filtering out rows by >= from dataset wine and column \"0\" using value 1.98527575346, and also subsetting columns.") + filterHex <- hex[hex[,c(1)] >= 1.98527575346, c(1)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(1)] >= 1.98527575346, c(11,10,13,12,1,3,2,5,4,7,6,9,8)] + Log.info("Filtering out rows by >= from dataset wine and column \"2\" using value 2.76349681423, and also subsetting columns.") + filterHex <- hex[hex[,c(2)] >= 2.76349681423, c(2)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(2)] >= 2.76349681423, c(11,10,13,12,1,3,2,5,4,7,6,9,8)] + Log.info("Filtering out rows by >= from dataset wine and column \"6\" using value 2.44883155335, and also subsetting columns.") + filterHex <- hex[hex[,c(6)] >= 2.44883155335, c(6)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(6)] >= 2.44883155335, c(11,10,13,12,1,3,2,5,4,7,6,9,8)] + Log.info("Filtering out rows by >= from dataset wine and column \"10\" using value 4.67109860166, and also subsetting columns.") + filterHex <- hex[hex[,c(10)] >= 4.67109860166, c(10)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(10)] >= 4.67109860166, c(11,10,13,12,1,3,2,5,4,7,6,9,8)] + Log.info("Filtering out rows by >= from dataset wine and column \"3\" using value 1.49441552997, and also subsetting columns.") + filterHex <- hex[hex[,c(3)] >= 1.49441552997, c(3)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(3)] >= 1.49441552997, c(11,10,13,12,1,3,2,5,4,7,6,9,8)] + Log.info("Filtering out rows by >= from dataset wine and column \"11\" using value 1.37212440685, and also subsetting columns.") + filterHex <- hex[hex[,c(11)] >= 1.37212440685, c(11)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(11)] >= 1.37212440685, c(11,10,13,12,1,3,2,5,4,7,6,9,8)] + Log.info("Filtering out rows by >= from dataset wine and column \"2\" using value 0.852312047671, and also subsetting columns.") + filterHex <- hex[hex[,c(2)] >= 0.852312047671, c(2)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(2)] >= 0.852312047671, c(11,10,13,12,1,3,2,5,4,7,6,9,8)] + Log.info("Filtering out rows by >= from dataset wine and column \"1\" using value 12.0179543968, and also subsetting columns.") + filterHex <- hex[hex[,c(1)] >= 12.0179543968, c(1)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(1)] >= 12.0179543968, c(11,10,13,12,1,3,2,5,4,7,6,9,8)] + Log.info("Filtering out rows by >= from dataset wine and column \"0\" using value 2.63939042707, and also subsetting columns.") + filterHex <- hex[hex[,c(1)] >= 2.63939042707, c(1)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(1)] >= 2.63939042707, c(11,10,13,12,1,3,2,5,4,7,6,9,8)] + Log.info("Filtering out rows by >= from dataset wine and column \"4\" using value 21.3825432142, and also subsetting columns.") + filterHex <- hex[hex[,c(4)] >= 21.3825432142, c(4)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(4)] >= 21.3825432142, c(11,10,13,12,1,3,2,5,4,7,6,9,8)] + Log.info("Filtering out rows by >= from dataset wine and column \"13\" using value 551.172454952, and also subsetting columns.") + filterHex <- hex[hex[,c(13)] >= 551.172454952, c(13)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(13)] >= 551.172454952, c(11,10,13,12,1,3,2,5,4,7,6,9,8)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("simpleFilterTest_ on data wine", simpleFilterTest_wine_95(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_simpleFilterTest_winesPCA_93.R b/R/tests/testdir_autoGen/runit_simpleFilterTest_winesPCA_93.R new file mode 100644 index 0000000000..7f1e00d58a --- /dev/null +++ b/R/tests/testdir_autoGen/runit_simpleFilterTest_winesPCA_93.R @@ -0,0 +1,23 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + simpleFilterTest_winesPCA_93 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <>=> ") + Log.info("Uploading winesPCA") + hex <- h2o.uploadFile(conn, "../../smalldata/winesPCA.csv", "rwinesPCA.hex") + Log.info("Filtering out rows by >= from dataset winesPCA and column \"1\" using value 3.61739707568") + filterHex <- hex[hex[,c(1)] >= 3.61739707568,] + Log.info("Perform filtering with the '$' sign also") + filterHex <- hex[hex$"1" >= 3.61739707568,] + Log.info("Filtering out rows by >= from dataset winesPCA and column \"1\" using value 1.08485714494, and also subsetting columns.") + filterHex <- hex[hex[,c(1)] >= 1.08485714494, c(1)] + Log.info("Now do the same filter & subset, but select complement of columns.") + filterHex <- hex[hex[,c(1)] >= 1.08485714494, c(1)] + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("simpleFilterTest_ on data winesPCA", simpleFilterTest_winesPCA_93(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_sliceTest_2_100kx7_logreg_10.R b/R/tests/testdir_autoGen/runit_sliceTest_2_100kx7_logreg_10.R new file mode 100644 index 0000000000..56c589c374 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_sliceTest_2_100kx7_logreg_10.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + sliceTest_2_100kx7_logreg_10 <- function(conn) { + Log.info("A munge-task R unit test on data <2_100kx7_logreg> testing the functional unit <[> ") + Log.info("Uploading 2_100kx7_logreg") + hex <- h2o.uploadFile(conn, "../../smalldata/2_100kx7_logreg.data.gz", "r2_100kx7_logreg.hex") + Log.info("Performing a row slice of 2_100kx7_logreg using these rows: c(216,217,214,215,212,213,210,211,165,264,265,218,219,133,132,131,130,137,136,135,134,139,138,166,24,25,26,27,20,21,22,23,160,28,29,161,289,4,331,281,8,283,163,285,284,287,286,119,271,258,120,121,122,123,124,125,126,127,128,129,269,268,167,118,59,58,55,54,57,56,51,50,53,52,259,312,298,299,296,297,294,295,292,293,290,291,164,201,319,318,199,179,200,195,194,197,178,191,190,193,192,115,114,88,89,111,110,113,112,82,83,80,81,86,87,84,85,251,304,198,256,206,226,257,3,177,254,7,247,273,255,308,309,300,301,302,303,225,305,306,307,245,244,108,109,241,240,243,242,102,103,100,101,106,107,104,105,39,38,33,32,31,30,37,36,35,34,246,310,282,252,205,338,223,334,337,336,176,330,333,332,60,61,62,63,64,65,66,67,68,69,175,174,173,172,171,170,203,222,288,181,253,248,182,183,180,2,162,187,184,6,220,186,188,189,311,202,313,196,221,317,185,315,316,99,98,168,169,229,228,91,90,93,92,95,94,97,96,11,10,13,12,15,14,17,16,19,18,314,117,250,116,274,204,275,151,150,153,152,155,154,157,156,159,158,277,234,322,238,239,279,207,235,236,237,230,231,232,233,224,280,48,49,46,47,44,45,42,43,40,41,1,323,320,321,5,327,324,325,9,328,329,335,272,146,147,144,145,142,143,140,141,209,208,148,149,77,76,75,74,73,72,71,70,278,79,78,263,249,262,227,261,270,260,276,267,326,266)") + slicedHex <- hex[c(216,217,214,215,212,213,210,211,165,264,265,218,219,133,132,131,130,137,136,135,134,139,138,166,24,25,26,27,20,21,22,23,160,28,29,161,289,4,331,281,8,283,163,285,284,287,286,119,271,258,120,121,122,123,124,125,126,127,128,129,269,268,167,118,59,58,55,54,57,56,51,50,53,52,259,312,298,299,296,297,294,295,292,293,290,291,164,201,319,318,199,179,200,195,194,197,178,191,190,193,192,115,114,88,89,111,110,113,112,82,83,80,81,86,87,84,85,251,304,198,256,206,226,257,3,177,254,7,247,273,255,308,309,300,301,302,303,225,305,306,307,245,244,108,109,241,240,243,242,102,103,100,101,106,107,104,105,39,38,33,32,31,30,37,36,35,34,246,310,282,252,205,338,223,334,337,336,176,330,333,332,60,61,62,63,64,65,66,67,68,69,175,174,173,172,171,170,203,222,288,181,253,248,182,183,180,2,162,187,184,6,220,186,188,189,311,202,313,196,221,317,185,315,316,99,98,168,169,229,228,91,90,93,92,95,94,97,96,11,10,13,12,15,14,17,16,19,18,314,117,250,116,274,204,275,151,150,153,152,155,154,157,156,159,158,277,234,322,238,239,279,207,235,236,237,230,231,232,233,224,280,48,49,46,47,44,45,42,43,40,41,1,323,320,321,5,327,324,325,9,328,329,335,272,146,147,144,145,142,143,140,141,209,208,148,149,77,76,75,74,73,72,71,70,278,79,78,263,249,262,227,261,270,260,276,267,326,266),] + Log.info("Performing a row & column slice of 2_100kx7_logreg using these rows & columns: c(1,3,7) & c(217,210,218,219,91,130,498,136,135,226,495,139,497,490,491,25,26,27,20,23,29,137,407,335,341,342,343,96,284,409,408,227,121,261,260,267,266,264,269,69,365,59,55,54,57,51,53,378,416,411,299,371,370,426,418,374,377,376,201,319,318,198,313,194,311,310,191,203,315,192,393,392,272,116,111,275,113,277,279,81,87,429,428,447,171,247,420,423,422,362,363,427,361,449,440,442,302,413,304,305,306,446,381,382,384,242,103,444,249,104,39,372,244,33,31,30,108,34,439,436,437,430,431,458,339,489,450,453,176,455,333,457,60,62,63,65,179,389,252,253,175,257,254,170,183,180,187,184,185,469,468,464,461,99,38,229,164,90,93,160,222,387,163,12,16,117,273,396,151,150,153,154,157,159,394,238,239,235,237,230,233,46,47,322,320,9,146,147,144,202,142,204,255,74,73,71,68,485,484,482,78,472,473,355,354,353,352,475,478,479,359)") + slicedHex <- hex[c(217,210,218,219,91,130,498,136,135,226,495,139,497,490,491,25,26,27,20,23,29,137,407,335,341,342,343,96,284,409,408,227,121,261,260,267,266,264,269,69,365,59,55,54,57,51,53,378,416,411,299,371,370,426,418,374,377,376,201,319,318,198,313,194,311,310,191,203,315,192,393,392,272,116,111,275,113,277,279,81,87,429,428,447,171,247,420,423,422,362,363,427,361,449,440,442,302,413,304,305,306,446,381,382,384,242,103,444,249,104,39,372,244,33,31,30,108,34,439,436,437,430,431,458,339,489,450,453,176,455,333,457,60,62,63,65,179,389,252,253,175,257,254,170,183,180,187,184,185,469,468,464,461,99,38,229,164,90,93,160,222,387,163,12,16,117,273,396,151,150,153,154,157,159,394,238,239,235,237,230,233,46,47,322,320,9,146,147,144,202,142,204,255,74,73,71,68,485,484,482,78,472,473,355,354,353,352,475,478,479,359),c(1,3,7)] + Log.info("Performing a 1-by-1 column slice of 2_100kx7_logreg using these columns: ") + Log.info("Performing a 1-by-1 row slice of 2_100kx7_logreg using these rows: ") + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("sliceTest_ on data 2_100kx7_logreg", sliceTest_2_100kx7_logreg_10(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_sliceTest_30k_categoricals_9.R b/R/tests/testdir_autoGen/runit_sliceTest_30k_categoricals_9.R new file mode 100644 index 0000000000..675e3516a9 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_sliceTest_30k_categoricals_9.R @@ -0,0 +1,19 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + sliceTest_30k_categoricals_9 <- function(conn) { + Log.info("A munge-task R unit test on data <30k_categoricals> testing the functional unit <[> ") + Log.info("Uploading 30k_categoricals") + hex <- h2o.uploadFile(conn, "../../smalldata/categoricals/30k_categoricals.csv.gz", "r30k_categoricals.hex") + Log.info("Performing a column slice of 30k_categoricals using these columns: c(1,2)") + slicedHex <- hex[,c(1,2)] + Log.info("Performing a 1-by-1 column slice of 30k_categoricals using these columns: ") + Log.info("Performing a 1-by-1 row slice of 30k_categoricals using these rows: ") + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("sliceTest_ on data 30k_categoricals", sliceTest_30k_categoricals_9(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_sliceTest_allyears2k_headers_11.R b/R/tests/testdir_autoGen/runit_sliceTest_allyears2k_headers_11.R new file mode 100644 index 0000000000..1e3bdd01c7 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_sliceTest_allyears2k_headers_11.R @@ -0,0 +1,19 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + sliceTest_allyears2k_headers_11 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <[> ") + Log.info("Uploading allyears2k_headers") + hex <- h2o.uploadFile(conn, "../../smalldata/airlines/allyears2k_headers.zip", "rallyears2k_headers.hex") + Log.info("Performing a column slice of allyears2k_headers using these columns: c(\"Diverted\",\"Month\",\"TaxiIn\",\"AirTime\",\"ArrTime\",\"ActualElapsedTime\",\"DepDelay\",\"DepTime\",\"Dest\",\"WeatherDelay\",\"UniqueCarrier\",\"Year\",\"DayOfWeek\",\"SecurityDelay\",\"FlightNum\",\"CRSElapsedTime\",\"CRSArrTime\",\"CarrierDelay\",\"CRSDepTime\",\"DayofMonth\",\"ArrDelay\",\"Distance\",\"Origin\",\"CancellationCode\",\"TailNum\",\"TaxiOut\",\"Cancelled\",\"NASDelay\")") + slicedHex <- hex[,c("Diverted","Month","TaxiIn","AirTime","ArrTime","ActualElapsedTime","DepDelay","DepTime","Dest","WeatherDelay","UniqueCarrier","Year","DayOfWeek","SecurityDelay","FlightNum","CRSElapsedTime","CRSArrTime","CarrierDelay","CRSDepTime","DayofMonth","ArrDelay","Distance","Origin","CancellationCode","TailNum","TaxiOut","Cancelled","NASDelay")] + Log.info("Performing a 1-by-1 column slice of allyears2k_headers using these columns: ") + Log.info("Performing a 1-by-1 row slice of allyears2k_headers using these rows: ") + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("sliceTest_ on data allyears2k_headers", sliceTest_allyears2k_headers_11(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_sliceTest_arit_20.R b/R/tests/testdir_autoGen/runit_sliceTest_arit_20.R new file mode 100644 index 0000000000..868712a74a --- /dev/null +++ b/R/tests/testdir_autoGen/runit_sliceTest_arit_20.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + sliceTest_arit_20 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <[> ") + Log.info("Uploading arit") + hex <- h2o.uploadFile(conn, "../../smalldata/test/arit.csv", "rarit.hex") + Log.info("Performing a column slice of arit using these columns: c(1)") + slicedHex <- hex[,c(1)] + Log.info("Performing a row slice of arit using these rows: c(56,77,54,42,48,43,60,61,62,63,64,49,66,67,68,69,80,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,78,51,39,65,76,75,38,73,72,71,70,59,79,58,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,55,74,32,81,57,50)") + slicedHex <- hex[c(56,77,54,42,48,43,60,61,62,63,64,49,66,67,68,69,80,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,78,51,39,65,76,75,38,73,72,71,70,59,79,58,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,55,74,32,81,57,50),] + Log.info("Performing a 1-by-1 column slice of arit using these columns: ") + Log.info("Performing a 1-by-1 row slice of arit using these rows: ") + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("sliceTest_ on data arit", sliceTest_arit_20(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_sliceTest_chess_2x2_500_int_12.R b/R/tests/testdir_autoGen/runit_sliceTest_chess_2x2_500_int_12.R new file mode 100644 index 0000000000..12ed1bdc47 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_sliceTest_chess_2x2_500_int_12.R @@ -0,0 +1,23 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + sliceTest_chess_2x2_500_int_12 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <[> ") + Log.info("Uploading chess_2x2_500_int") + hex <- h2o.uploadFile(conn, "../../smalldata/chess/chess_2x2x500/h2o/chess_2x2_500_int.csv", "rchess_2x2_500_int.hex") + Log.info("Performing a column slice of chess_2x2_500_int using these columns: c(\"x\",\"y\")") + slicedHex <- hex[,c("x","y")] + Log.info("Performing a row slice of chess_2x2_500_int using these rows: c(1200,1175,1269,1183,1268,1256,1144,1162,1218,1145,344,346,347,340,341,342,343,810,811,812,813,348,349,816,817,595,1149,719,718,717,716,715,714,713,712,711,710,915,1267,1265,914,606,1264,917,594,736,916,1182,1061,911,1063,1062,1065,1064,619,910,913,298,299,296,297,294,295,292,293,290,291,591,590,593,592,199,198,597,596,195,194,197,196,191,190,193,192,270,271,272,273,274,275,276,277,278,279,738,1067,524,525,526,527,520,521,522,523,1014,1015,599,1017,528,529,994,1013,1234,1025,449,448,1230,1231,1232,1233,443,442,441,440,447,446,445,444,108,109,1135,102,103,100,101,106,107,104,105,902,903,39,38,906,907,904,905,33,32,31,30,37,36,35,34,641,640,643,642,645,644,438,439,436,437,434,435,432,433,430,431,1156,1002,339,338,1236,335,334,337,336,331,330,333,332,1120,744,1000,745,854,818,856,857,850,851,852,345,858,859,1081,748,6,1150,900,1282,1303,848,99,98,844,1085,91,90,93,92,95,94,97,96,1216,814,1030,815,1098,1066,740,741,742,743,559,558,746,747,555,554,557,556,551,550,553,552,1314,238,239,234,235,236,237,230,231,232,233,1050,1051,1052,1053,1054,1055,1056,1057,1058,1059,1193,992,1195,1194,1197,1196,1,614,146,147,144,145,142,143,140,141,612,613,610,611,616,617,148,149,1007,912,1139,1006,951,1318,1005,1285,1284,1082,1004,1281,1280,948,949,946,947,944,945,942,943,940,941,1191,768,689,688,1190,685,684,687,686,681,680,683,682,1304,623,1306,1192,1300,819,1103,622,1240,1308,1225,133,132,131,130,137,136,135,134,494,495,139,138,490,491,492,493,24,25,26,27,20,21,22,23,1317,1243,927,28,29,407,406,405,404,403,402,401,400,933,932,931,930,937,629,409,408,1294,1069,628,1316,1028,758,1212,1229,1178,1228,1018,1315,379,378,829,828,1060,371,370,373,372,375,374,377,376,1019,708,709,1176,704,705,706,707,700,618,702,703,393,392,88,89,397,396,395,394,82,83,80,81,86,87,84,85,797,796,795,794,793,792,791,790,1170,799,798,1270,1262,7,601,1272,607,1246,586,587,584,585,582,583,580,581,1133,1132,1131,1130,1137,1136,588,589,245,244,247,246,241,240,243,242,1258,615,249,248,1298,1213,924,970,925,519,518,926,1009,1008,511,510,513,512,515,514,517,516,458,459,621,620,627,626,625,624,450,451,452,453,454,455,456,457,1084,979,179,178,177,176,175,174,173,172,171,170,977,656,975,974,973,972,971,657,1080,1266,654,253,978,182,183,180,181,186,187,184,185,886,652,188,189,1122,658,653,1110,1123,650,1124,651,1287,1311,1125,1148,1286,1089,764,1088,1227,11,10,13,12,15,14,17,16,19,18,863,862,865,864,867,866,1198,884,1248,938,659,1226,883,753,881,880,887,831,885,752,928,62,888,1012,1032,1292,950,756,1179,1279,929,809,322,323,320,321,326,327,324,325,1224,328,329,759,201,200,203,202,205,204,207,206,209,208,779,778,889,77,76,75,74,73,72,71,70,655,79,78,2,1042,1041,1040,1047,1043,1045,1044,1049,1048,1222,805,1310,804,1142,1143,1140,1141,1146,1147,669,668,667,666,665,664,663,662,661,660,1221,769,1278,1301,692,693,690,691,696,697,694,695,1293,1297,698,699,542,543,540,541,546,547,544,545,8,548,549,68,598,995,869,997,996,991,990,993,868,999,998,1319,1309,120,121,122,123,124,125,126,127,128,129,765,1016,1257,1128,1010,1189,1011,414,415,416,417,410,411,412,413,920,498,922,923,418,419,776,499,319,318,1235,313,312,311,310,317,316,315,314,1237,1177,861,921,1126,1181,496,1134,832,833,830,497,836,837,834,835,838,839,808,3,725,1305,1255,368,369,366,367,364,365,362,363,360,361,959,1168,1138,952,1238,882,1239,380,381,382,383,384,385,386,387,388,389,784,785,786,787,780,781,782,783,788,789,1174,860,1307,1253,1223,1252,605,579,578,604,573,572,571,570,577,576,575,574,60,61,258,259,64,65,66,67,252,69,250,251,256,257,254,255,1271,603,1172,602,939,731,730,733,732,735,734,508,509,506,507,504,505,502,503,500,501,630,631,632,633,469,468,636,637,465,464,467,466,461,460,463,462,901,168,169,164,165,166,167,160,161,162,163,964,965,966,967,960,961,962,963,1129,968,969,936,1106,1107,1104,1105,1102,935,1100,1101,1217,934,1274,908,1108,1109,909,1096,1090,1275,1091,1241,600,878,879,876,877,874,875,872,873,870,871,1155,1242,1154,9,1245,1158,1157,1244,890,891,892,893,894,647,896,897,898,899,1087,646,1116,1099,649,1199,1247,1153,1277,648,1152,1273,1086,357,356,355,354,353,352,351,350,803,802,801,800,807,806,359,358,216,217,214,215,212,213,210,211,762,763,760,761,766,767,218,219,957,956,1033,1169,1283,1078,1079,1076,1077,1074,1075,1072,1073,1070,1071,289,288,1299,1003,4,281,280,283,282,285,284,287,286,1094,1095,1083,1097,678,679,1092,1093,674,675,676,677,670,671,672,673,263,262,261,260,267,266,265,264,1121,1031,269,268,1302,701,1312,59,58,1215,55,54,57,56,51,50,53,52,537,536,535,63,533,532,531,530,539,538,987,775,988,989,1171,774,982,983,980,981,986,777,984,985,115,114,117,116,111,110,113,112,771,119,118,770,1289,1187,773,1205,772,953,429,428,1254,534,919,918,1250,1251,421,420,423,422,425,424,427,426,308,309,855,300,301,302,303,304,305,306,307,895,825,1263,824,827,847,846,845,826,843,842,841,840,1151,821,853,849,820,823,1313,1209,822,1249,1164,1210,954,1034,1127,1159,1276,1208,1165,1068,1261,1038,1039,1220,1288,1046,1166,568,569,751,750,757,737,755,754,560,561,562,563,564,565,566,567,739,1259,229,228,227,226,225,224,223,222,221,220,1001,1024,1027,1026,1021,1020,1023,1022,1186,1036,1184,1115,1029,391,1180,1037,726,727,724,390,722,723,720,721,1160,1035,1167,728,729,151,150,153,152,155,154,157,156,159,158,1207,1206,609,608,1203,1202,1204,1211,976,1161,634,399,635,749,958,398,1214,48,49,46,47,44,45,42,43,40,41,1111,638,1113,1112,5,1114,1117,639,1119,1118,1290,1291,1296,1173,1260,1295,1188,1219,1185,1163,489,488,487,486,485,484,483,482,481,480,955,1201,472,473,470,471,476,477,474,475,478,479)") + slicedHex <- hex[c(1200,1175,1269,1183,1268,1256,1144,1162,1218,1145,344,346,347,340,341,342,343,810,811,812,813,348,349,816,817,595,1149,719,718,717,716,715,714,713,712,711,710,915,1267,1265,914,606,1264,917,594,736,916,1182,1061,911,1063,1062,1065,1064,619,910,913,298,299,296,297,294,295,292,293,290,291,591,590,593,592,199,198,597,596,195,194,197,196,191,190,193,192,270,271,272,273,274,275,276,277,278,279,738,1067,524,525,526,527,520,521,522,523,1014,1015,599,1017,528,529,994,1013,1234,1025,449,448,1230,1231,1232,1233,443,442,441,440,447,446,445,444,108,109,1135,102,103,100,101,106,107,104,105,902,903,39,38,906,907,904,905,33,32,31,30,37,36,35,34,641,640,643,642,645,644,438,439,436,437,434,435,432,433,430,431,1156,1002,339,338,1236,335,334,337,336,331,330,333,332,1120,744,1000,745,854,818,856,857,850,851,852,345,858,859,1081,748,6,1150,900,1282,1303,848,99,98,844,1085,91,90,93,92,95,94,97,96,1216,814,1030,815,1098,1066,740,741,742,743,559,558,746,747,555,554,557,556,551,550,553,552,1314,238,239,234,235,236,237,230,231,232,233,1050,1051,1052,1053,1054,1055,1056,1057,1058,1059,1193,992,1195,1194,1197,1196,1,614,146,147,144,145,142,143,140,141,612,613,610,611,616,617,148,149,1007,912,1139,1006,951,1318,1005,1285,1284,1082,1004,1281,1280,948,949,946,947,944,945,942,943,940,941,1191,768,689,688,1190,685,684,687,686,681,680,683,682,1304,623,1306,1192,1300,819,1103,622,1240,1308,1225,133,132,131,130,137,136,135,134,494,495,139,138,490,491,492,493,24,25,26,27,20,21,22,23,1317,1243,927,28,29,407,406,405,404,403,402,401,400,933,932,931,930,937,629,409,408,1294,1069,628,1316,1028,758,1212,1229,1178,1228,1018,1315,379,378,829,828,1060,371,370,373,372,375,374,377,376,1019,708,709,1176,704,705,706,707,700,618,702,703,393,392,88,89,397,396,395,394,82,83,80,81,86,87,84,85,797,796,795,794,793,792,791,790,1170,799,798,1270,1262,7,601,1272,607,1246,586,587,584,585,582,583,580,581,1133,1132,1131,1130,1137,1136,588,589,245,244,247,246,241,240,243,242,1258,615,249,248,1298,1213,924,970,925,519,518,926,1009,1008,511,510,513,512,515,514,517,516,458,459,621,620,627,626,625,624,450,451,452,453,454,455,456,457,1084,979,179,178,177,176,175,174,173,172,171,170,977,656,975,974,973,972,971,657,1080,1266,654,253,978,182,183,180,181,186,187,184,185,886,652,188,189,1122,658,653,1110,1123,650,1124,651,1287,1311,1125,1148,1286,1089,764,1088,1227,11,10,13,12,15,14,17,16,19,18,863,862,865,864,867,866,1198,884,1248,938,659,1226,883,753,881,880,887,831,885,752,928,62,888,1012,1032,1292,950,756,1179,1279,929,809,322,323,320,321,326,327,324,325,1224,328,329,759,201,200,203,202,205,204,207,206,209,208,779,778,889,77,76,75,74,73,72,71,70,655,79,78,2,1042,1041,1040,1047,1043,1045,1044,1049,1048,1222,805,1310,804,1142,1143,1140,1141,1146,1147,669,668,667,666,665,664,663,662,661,660,1221,769,1278,1301,692,693,690,691,696,697,694,695,1293,1297,698,699,542,543,540,541,546,547,544,545,8,548,549,68,598,995,869,997,996,991,990,993,868,999,998,1319,1309,120,121,122,123,124,125,126,127,128,129,765,1016,1257,1128,1010,1189,1011,414,415,416,417,410,411,412,413,920,498,922,923,418,419,776,499,319,318,1235,313,312,311,310,317,316,315,314,1237,1177,861,921,1126,1181,496,1134,832,833,830,497,836,837,834,835,838,839,808,3,725,1305,1255,368,369,366,367,364,365,362,363,360,361,959,1168,1138,952,1238,882,1239,380,381,382,383,384,385,386,387,388,389,784,785,786,787,780,781,782,783,788,789,1174,860,1307,1253,1223,1252,605,579,578,604,573,572,571,570,577,576,575,574,60,61,258,259,64,65,66,67,252,69,250,251,256,257,254,255,1271,603,1172,602,939,731,730,733,732,735,734,508,509,506,507,504,505,502,503,500,501,630,631,632,633,469,468,636,637,465,464,467,466,461,460,463,462,901,168,169,164,165,166,167,160,161,162,163,964,965,966,967,960,961,962,963,1129,968,969,936,1106,1107,1104,1105,1102,935,1100,1101,1217,934,1274,908,1108,1109,909,1096,1090,1275,1091,1241,600,878,879,876,877,874,875,872,873,870,871,1155,1242,1154,9,1245,1158,1157,1244,890,891,892,893,894,647,896,897,898,899,1087,646,1116,1099,649,1199,1247,1153,1277,648,1152,1273,1086,357,356,355,354,353,352,351,350,803,802,801,800,807,806,359,358,216,217,214,215,212,213,210,211,762,763,760,761,766,767,218,219,957,956,1033,1169,1283,1078,1079,1076,1077,1074,1075,1072,1073,1070,1071,289,288,1299,1003,4,281,280,283,282,285,284,287,286,1094,1095,1083,1097,678,679,1092,1093,674,675,676,677,670,671,672,673,263,262,261,260,267,266,265,264,1121,1031,269,268,1302,701,1312,59,58,1215,55,54,57,56,51,50,53,52,537,536,535,63,533,532,531,530,539,538,987,775,988,989,1171,774,982,983,980,981,986,777,984,985,115,114,117,116,111,110,113,112,771,119,118,770,1289,1187,773,1205,772,953,429,428,1254,534,919,918,1250,1251,421,420,423,422,425,424,427,426,308,309,855,300,301,302,303,304,305,306,307,895,825,1263,824,827,847,846,845,826,843,842,841,840,1151,821,853,849,820,823,1313,1209,822,1249,1164,1210,954,1034,1127,1159,1276,1208,1165,1068,1261,1038,1039,1220,1288,1046,1166,568,569,751,750,757,737,755,754,560,561,562,563,564,565,566,567,739,1259,229,228,227,226,225,224,223,222,221,220,1001,1024,1027,1026,1021,1020,1023,1022,1186,1036,1184,1115,1029,391,1180,1037,726,727,724,390,722,723,720,721,1160,1035,1167,728,729,151,150,153,152,155,154,157,156,159,158,1207,1206,609,608,1203,1202,1204,1211,976,1161,634,399,635,749,958,398,1214,48,49,46,47,44,45,42,43,40,41,1111,638,1113,1112,5,1114,1117,639,1119,1118,1290,1291,1296,1173,1260,1295,1188,1219,1185,1163,489,488,487,486,485,484,483,482,481,480,955,1201,472,473,470,471,476,477,474,475,478,479),] + Log.info("Performing a row & column slice of chess_2x2_500_int using these rows & columns: c(1) & c(890,797,1244,15,991,901,946,311,1266,271,123,111,241,531,932,408,1003,629,72)") + slicedHex <- hex[c(890,797,1244,15,991,901,946,311,1266,271,123,111,241,531,932,408,1003,629,72),c(1)] + Log.info("Performing a 1-by-1 column slice of chess_2x2_500_int using these columns: ") + Log.info("Performing a 1-by-1 row slice of chess_2x2_500_int using these rows: ") + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("sliceTest_ on data chess_2x2_500_int", sliceTest_chess_2x2_500_int_12(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_sliceTest_chess_test_7.R b/R/tests/testdir_autoGen/runit_sliceTest_chess_test_7.R new file mode 100644 index 0000000000..5b361acfdc --- /dev/null +++ b/R/tests/testdir_autoGen/runit_sliceTest_chess_test_7.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + sliceTest_chess_test_7 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <[> ") + Log.info("Uploading chess_test") + hex <- h2o.uploadFile(conn, "../../smalldata/test/classifier/chess_test.csv", "rchess_test.hex") + Log.info("Performing a column slice of chess_test using these columns: c(1)") + slicedHex <- hex[,c(1)] + Log.info("Performing a row & column slice of chess_test using these rows & columns: c(1) & c(1)") + slicedHex <- hex[c(1),c(1)] + Log.info("Performing a 1-by-1 column slice of chess_test using these columns: ") + Log.info("Performing a 1-by-1 row slice of chess_test using these rows: ") + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("sliceTest_ on data chess_test", sliceTest_chess_test_7(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_sliceTest_claim_prediction_train_set_10000_17.R b/R/tests/testdir_autoGen/runit_sliceTest_claim_prediction_train_set_10000_17.R new file mode 100644 index 0000000000..b99d45a7bc --- /dev/null +++ b/R/tests/testdir_autoGen/runit_sliceTest_claim_prediction_train_set_10000_17.R @@ -0,0 +1,19 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + sliceTest_claim_prediction_train_set_10000_17 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <[> ") + Log.info("Uploading claim_prediction_train_set_10000") + hex <- h2o.uploadFile(conn, "../../smalldata/allstate/claim_prediction_train_set_10000.csv.gz", "rclaim_prediction_train_set_10000.hex") + Log.info("Performing a row & column slice of claim_prediction_train_set_10000 using these rows & columns: c(\"Calendar_Year\",\"Cat7\",\"Var5\",\"Var2\",\"Cat4\",\"Blind_Submodel\") & 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+ slicedHex <- 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+ Log.info("Performing a 1-by-1 column slice of claim_prediction_train_set_10000 using these columns: ") + Log.info("Performing a 1-by-1 row slice of claim_prediction_train_set_10000 using these rows: ") + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("sliceTest_ on data claim_prediction_train_set_10000", sliceTest_claim_prediction_train_set_10000_17(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_sliceTest_clslowbwt_19.R b/R/tests/testdir_autoGen/runit_sliceTest_clslowbwt_19.R new file mode 100644 index 0000000000..84196d6ca7 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_sliceTest_clslowbwt_19.R @@ -0,0 +1,23 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + sliceTest_clslowbwt_19 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <[> ") + Log.info("Uploading clslowbwt") + hex <- h2o.uploadFile(conn, "../../smalldata/logreg/umass_statdata/clslowbwt.dat", "rclslowbwt.hex") + Log.info("Performing a column slice of clslowbwt using these columns: c(1)") + slicedHex <- hex[,c(1)] + Log.info("Performing a row slice of clslowbwt using these rows: c(216,217,214,215,212,213,210,211,165,218,219,133,132,131,130,137,136,135,134,139,138,166,24,25,26,27,20,21,22,23,160,28,29,161,4,8,163,119,120,121,122,123,124,125,126,127,128,129,167,118,59,58,55,54,57,56,51,50,53,52,164,201,199,179,200,195,194,197,178,191,190,193,192,115,114,88,89,111,110,113,112,82,83,80,81,86,87,84,85,251,198,256,206,226,257,3,177,254,7,247,255,225,245,244,108,109,241,240,243,242,102,103,100,101,106,107,104,105,39,38,33,32,31,30,37,36,35,34,246,252,205,223,176,60,61,62,63,64,65,66,67,68,69,175,174,173,172,171,170,203,222,181,253,248,182,183,180,2,162,187,184,6,220,186,188,189,202,196,221,185,99,98,168,169,229,228,91,90,93,92,95,94,97,96,11,10,13,12,15,14,17,16,19,18,117,250,116,204,151,150,153,152,155,154,157,156,159,158,234,238,239,207,235,236,237,230,231,232,233,224,48,49,46,47,44,45,42,43,40,41,1,5,9,146,147,144,145,142,143,140,141,209,208,148,149,77,76,75,74,73,72,71,70,79,78,249,227)") + slicedHex <- hex[c(216,217,214,215,212,213,210,211,165,218,219,133,132,131,130,137,136,135,134,139,138,166,24,25,26,27,20,21,22,23,160,28,29,161,4,8,163,119,120,121,122,123,124,125,126,127,128,129,167,118,59,58,55,54,57,56,51,50,53,52,164,201,199,179,200,195,194,197,178,191,190,193,192,115,114,88,89,111,110,113,112,82,83,80,81,86,87,84,85,251,198,256,206,226,257,3,177,254,7,247,255,225,245,244,108,109,241,240,243,242,102,103,100,101,106,107,104,105,39,38,33,32,31,30,37,36,35,34,246,252,205,223,176,60,61,62,63,64,65,66,67,68,69,175,174,173,172,171,170,203,222,181,253,248,182,183,180,2,162,187,184,6,220,186,188,189,202,196,221,185,99,98,168,169,229,228,91,90,93,92,95,94,97,96,11,10,13,12,15,14,17,16,19,18,117,250,116,204,151,150,153,152,155,154,157,156,159,158,234,238,239,207,235,236,237,230,231,232,233,224,48,49,46,47,44,45,42,43,40,41,1,5,9,146,147,144,145,142,143,140,141,209,208,148,149,77,76,75,74,73,72,71,70,79,78,249,227),] + Log.info("Performing a row & column slice of clslowbwt using these rows & columns: c(1,7,6) & c(217,214,132,130,137,136,226,225,24,21,28,407,405,403,402,342,451,348,409,121,122,123,266,265,269,268,423,59,55,56,379,415,417,411,412,296,372,418,291,319,311,196,191,193,314,393,271,88,89,274,395,83,399,85,295,428,364,427,361,309,298,442,303,447,446,245,381,246,240,243,387,389,105,39,38,30,34,109,434,433,459,339,338,335,334,337,336,454,258,65,176,175,251,346,186,187,6,197,386,310,465,464,467,99,98,168,165,93,224,95,222,115,12,15,16,19,360,273,238,237,233,49,41,1,320,326,9,146,145,205,204,141,208,77,76,75,74,71,70,485,470,471,477,350)") + slicedHex <- hex[c(217,214,132,130,137,136,226,225,24,21,28,407,405,403,402,342,451,348,409,121,122,123,266,265,269,268,423,59,55,56,379,415,417,411,412,296,372,418,291,319,311,196,191,193,314,393,271,88,89,274,395,83,399,85,295,428,364,427,361,309,298,442,303,447,446,245,381,246,240,243,387,389,105,39,38,30,34,109,434,433,459,339,338,335,334,337,336,454,258,65,176,175,251,346,186,187,6,197,386,310,465,464,467,99,98,168,165,93,224,95,222,115,12,15,16,19,360,273,238,237,233,49,41,1,320,326,9,146,145,205,204,141,208,77,76,75,74,71,70,485,470,471,477,350),c(1,7,6)] + Log.info("Performing a 1-by-1 column slice of clslowbwt using these columns: ") + Log.info("Performing a 1-by-1 row slice of clslowbwt using these rows: ") + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("sliceTest_ on data clslowbwt", sliceTest_clslowbwt_19(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_sliceTest_coldom_train_2.R b/R/tests/testdir_autoGen/runit_sliceTest_coldom_train_2.R new file mode 100644 index 0000000000..a388bcb666 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_sliceTest_coldom_train_2.R @@ -0,0 +1,19 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + sliceTest_coldom_train_2 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <[> ") + Log.info("Uploading coldom_train") + hex <- h2o.uploadFile(conn, "../../smalldata/test/classifier/coldom_train.csv", "rcoldom_train.hex") + Log.info("Performing a row slice of coldom_train using these rows: c(1,3,2)") + slicedHex <- hex[c(1,3,2),] + Log.info("Performing a 1-by-1 column slice of coldom_train using these columns: ") + Log.info("Performing a 1-by-1 row slice of coldom_train using these rows: ") + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("sliceTest_ on data coldom_train", sliceTest_coldom_train_2(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_sliceTest_iris_6.R b/R/tests/testdir_autoGen/runit_sliceTest_iris_6.R new file mode 100644 index 0000000000..d86c111c78 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_sliceTest_iris_6.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + sliceTest_iris_6 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <[> ") + Log.info("Uploading iris") + hex <- h2o.uploadFile(conn, "../../smalldata/iris/iris.csv", "riris.hex") + Log.info("Performing a row slice of iris using these rows: c(24,25,26,27,20,21,22,23,28,29,4,8,59,58,55,54,57,56,51,50,53,52,88,89,82,83,80,81,86,87,84,85,3,7,100,101,39,38,33,32,31,30,37,36,35,34,60,61,62,63,64,65,66,67,68,69,2,6,99,98,91,90,93,92,95,94,97,96,11,10,13,12,15,14,17,16,19,18,48,49,46,47,44,45,42,43,40,41,1,5,9,77,76,75,74,73,72,71,70,79,78)") + slicedHex <- hex[c(24,25,26,27,20,21,22,23,28,29,4,8,59,58,55,54,57,56,51,50,53,52,88,89,82,83,80,81,86,87,84,85,3,7,100,101,39,38,33,32,31,30,37,36,35,34,60,61,62,63,64,65,66,67,68,69,2,6,99,98,91,90,93,92,95,94,97,96,11,10,13,12,15,14,17,16,19,18,48,49,46,47,44,45,42,43,40,41,1,5,9,77,76,75,74,73,72,71,70,79,78),] + Log.info("Performing a row & column slice of iris using these rows & columns: c(3) & c(1)") + slicedHex <- hex[c(1),c(3)] + Log.info("Performing a 1-by-1 column slice of iris using these columns: ") + Log.info("Performing a 1-by-1 row slice of iris using these rows: ") + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("sliceTest_ on data iris", sliceTest_iris_6(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_sliceTest_iris_test_numeric_missing_extra_18.R b/R/tests/testdir_autoGen/runit_sliceTest_iris_test_numeric_missing_extra_18.R new file mode 100644 index 0000000000..17bc3d6c6b --- /dev/null +++ b/R/tests/testdir_autoGen/runit_sliceTest_iris_test_numeric_missing_extra_18.R @@ -0,0 +1,23 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + sliceTest_iris_test_numeric_missing_extra_18 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <[> ") + Log.info("Uploading iris_test_numeric_missing_extra") + hex <- h2o.uploadFile(conn, "../../smalldata/test/classifier/iris_test_numeric_missing_extra.csv", "riris_test_numeric_missing_extra.hex") + Log.info("Performing a column slice of iris_test_numeric_missing_extra using these columns: c(\"petal_wid\",\"sepal_wid\",\"petal_len\",\"sepal_len\")") + slicedHex <- hex[,c("petal_wid","sepal_wid","petal_len","sepal_len")] + Log.info("Performing a row slice of iris_test_numeric_missing_extra using these rows: c(1,3,2)") + slicedHex <- hex[c(1,3,2),] + Log.info("Performing a row & column slice of iris_test_numeric_missing_extra using these rows & columns: c(1) & c(10,13,12,15,17,2,7,6,9,8)") + slicedHex <- hex[c(10,13,12,15,17,2,7,6,9,8),c(1)] + Log.info("Performing a 1-by-1 column slice of iris_test_numeric_missing_extra using these columns: ") + Log.info("Performing a 1-by-1 row slice of iris_test_numeric_missing_extra using these rows: ") + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("sliceTest_ on data iris_test_numeric_missing_extra", sliceTest_iris_test_numeric_missing_extra_18(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_sliceTest_pros_5.R b/R/tests/testdir_autoGen/runit_sliceTest_pros_5.R new file mode 100644 index 0000000000..96e01ed5af --- /dev/null +++ b/R/tests/testdir_autoGen/runit_sliceTest_pros_5.R @@ -0,0 +1,19 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + sliceTest_pros_5 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <[> ") + Log.info("Uploading pros") + hex <- h2o.uploadFile(conn, "../../smalldata/logreg/umass_statdata/pros.dat", "rpros.hex") + Log.info("Performing a column slice of pros using these columns: c(1)") + slicedHex <- hex[,c(1)] + Log.info("Performing a 1-by-1 column slice of pros using these columns: ") + Log.info("Performing a 1-by-1 row slice of pros using these rows: ") + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("sliceTest_ on data pros", sliceTest_pros_5(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_sliceTest_prostate_6_1.R b/R/tests/testdir_autoGen/runit_sliceTest_prostate_6_1.R new file mode 100644 index 0000000000..6443af7edb --- /dev/null +++ b/R/tests/testdir_autoGen/runit_sliceTest_prostate_6_1.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + sliceTest_prostate_6_1 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <[> ") + Log.info("Uploading prostate_6") + hex <- h2o.uploadFile(conn, "../../smalldata/parse_folder_test/prostate_6.csv", "rprostate_6.hex") + Log.info("Performing a column slice of prostate_6 using these columns: c(1,3,2,5,4,6)") + slicedHex <- hex[,c(1,3,2,5,4,6)] + Log.info("Performing a row & column slice of prostate_6 using these rows & columns: c(1,5,4) & c(42,24,25,21,48,49,46,45,28,43,3,5,7,11,10,38,22,17,19,23,37,34,33)") + slicedHex <- hex[c(42,24,25,21,48,49,46,45,28,43,3,5,7,11,10,38,22,17,19,23,37,34,33),c(1,5,4)] + Log.info("Performing a 1-by-1 column slice of prostate_6 using these columns: ") + Log.info("Performing a 1-by-1 row slice of prostate_6 using these rows: ") + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("sliceTest_ on data prostate_6", sliceTest_prostate_6_1(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_sliceTest_randomdata3_3.R b/R/tests/testdir_autoGen/runit_sliceTest_randomdata3_3.R new file mode 100644 index 0000000000..2f3a0a67ce --- /dev/null +++ b/R/tests/testdir_autoGen/runit_sliceTest_randomdata3_3.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + sliceTest_randomdata3_3 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <[> ") + Log.info("Uploading randomdata3") + hex <- h2o.uploadFile(conn, "../../smalldata/randomdata3.csv", "rrandomdata3.hex") + Log.info("Performing a row slice of randomdata3 using these rows: c(24,25,26,27,20,21,22,23,28,29,4,8,59,58,55,54,57,56,51,50,53,52,115,114,88,89,111,110,113,112,82,83,80,81,86,87,84,85,3,7,108,109,102,103,100,101,106,107,104,105,39,38,33,32,31,30,37,36,35,34,60,61,62,63,64,65,66,67,68,69,2,6,99,98,91,90,93,92,95,94,97,96,11,10,13,12,15,14,17,16,19,18,116,48,49,46,47,44,45,42,43,40,41,1,5,9,77,76,75,74,73,72,71,70,79,78)") + slicedHex <- hex[c(24,25,26,27,20,21,22,23,28,29,4,8,59,58,55,54,57,56,51,50,53,52,115,114,88,89,111,110,113,112,82,83,80,81,86,87,84,85,3,7,108,109,102,103,100,101,106,107,104,105,39,38,33,32,31,30,37,36,35,34,60,61,62,63,64,65,66,67,68,69,2,6,99,98,91,90,93,92,95,94,97,96,11,10,13,12,15,14,17,16,19,18,116,48,49,46,47,44,45,42,43,40,41,1,5,9,77,76,75,74,73,72,71,70,79,78),] + Log.info("Performing a row & column slice of randomdata3 using these rows & columns: c(4) & c(66,132,130,135,134,139,166,25,26,27,21,22,29,161,4,8,119,120,121,124,125,127,128,129,59,58,54,57,56,50,53,199,198,195,194,197,196,191,190,193,192,115,114,117,89,111,113,112,83,80,81,86,85,172,3,7,109,102,103,101,106,107,104,105,39,33,32,30,36,35,60,62,63,64,179,68,176,174,177,182,181,6,188,189,99,169,90,93,167,95,94,162,96,11,10,13,14,19,18,88,153,152,155,154,156,48,46,47,42,41,146,147,143,140,141,148,149,74,73,72,71,70)") + slicedHex <- hex[c(66,132,130,135,134,139,166,25,26,27,21,22,29,161,4,8,119,120,121,124,125,127,128,129,59,58,54,57,56,50,53,199,198,195,194,197,196,191,190,193,192,115,114,117,89,111,113,112,83,80,81,86,85,172,3,7,109,102,103,101,106,107,104,105,39,33,32,30,36,35,60,62,63,64,179,68,176,174,177,182,181,6,188,189,99,169,90,93,167,95,94,162,96,11,10,13,14,19,18,88,153,152,155,154,156,48,46,47,42,41,146,147,143,140,141,148,149,74,73,72,71,70),c(4)] + Log.info("Performing a 1-by-1 column slice of randomdata3 using these columns: ") + Log.info("Performing a 1-by-1 row slice of randomdata3 using these rows: ") + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("sliceTest_ on data randomdata3", sliceTest_randomdata3_3(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_sliceTest_test_14.R b/R/tests/testdir_autoGen/runit_sliceTest_test_14.R new file mode 100644 index 0000000000..a4806a291b --- /dev/null +++ b/R/tests/testdir_autoGen/runit_sliceTest_test_14.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + sliceTest_test_14 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <[> ") + Log.info("Uploading test") + hex <- h2o.uploadFile(conn, "../../smalldata/chess/chess_2x2x1000/R/test.csv", "rtest.hex") + Log.info("Performing a column slice of test using these columns: c(1)") + slicedHex <- hex[,c(1)] + Log.info("Performing a row slice of test using these rows: c(1200,1175,1183,1144,1162,1218,1145,344,346,347,340,341,342,343,810,811,812,813,348,349,816,817,595,1149,719,718,717,716,715,714,713,712,711,710,915,914,606,917,594,736,916,1182,1061,911,1063,1062,1065,1064,619,910,913,298,299,296,297,294,295,292,293,290,291,591,590,593,592,199,198,597,596,195,194,197,196,191,190,193,192,270,271,272,273,274,275,276,277,278,279,738,1067,524,525,526,527,520,521,522,523,1014,1015,599,1017,528,529,994,1013,1025,449,448,443,442,441,440,447,446,445,444,108,109,1135,102,103,100,101,106,107,104,105,902,903,39,38,906,907,904,905,33,32,31,30,37,36,35,34,641,640,643,642,645,644,438,439,436,437,434,435,432,433,430,431,1156,1002,339,338,335,334,337,336,331,330,333,332,1120,744,1000,745,854,818,856,857,850,851,852,345,858,859,1081,748,6,1150,900,848,99,98,844,1085,91,90,93,92,95,94,97,96,1216,814,1030,815,1098,1066,740,741,742,743,559,558,746,747,555,554,557,556,551,550,553,552,238,239,234,235,236,237,230,231,232,233,1050,1051,1052,1053,1054,1055,1056,1057,1058,1059,1193,992,1195,1194,1197,1196,1,614,146,147,144,145,142,143,140,141,612,613,610,611,616,617,148,149,1007,912,1139,1006,951,1005,1082,1004,948,949,946,947,944,945,942,943,940,941,1191,768,689,688,1190,685,684,687,686,681,680,683,682,623,1192,819,1103,622,1225,133,132,131,130,137,136,135,134,494,495,139,138,490,491,492,493,24,25,26,27,20,21,22,23,927,28,29,407,406,405,404,403,402,401,400,933,932,931,930,937,629,409,408,1069,628,1028,758,1212,1178,1018,379,378,829,828,1060,371,370,373,372,375,374,377,376,1019,708,709,1176,704,705,706,707,700,618,702,703,393,392,88,89,397,396,395,394,82,83,80,81,86,87,84,85,797,796,795,794,793,792,791,790,1170,799,798,7,601,607,586,587,584,585,582,583,580,581,1133,1132,1131,1130,1137,1136,588,589,245,244,247,246,241,240,243,242,615,249,248,1213,924,970,925,519,518,926,1009,1008,511,510,513,512,515,514,517,516,458,459,621,620,627,626,625,624,450,451,452,453,454,455,456,457,1084,979,179,178,177,176,175,174,173,172,171,170,977,656,975,974,973,972,971,657,1080,654,253,978,182,183,180,181,186,187,184,185,886,652,188,189,1122,658,653,1110,1123,650,1124,651,1125,1148,1089,764,1088,11,10,13,12,15,14,17,16,19,18,863,862,865,864,867,866,1198,884,938,659,883,753,881,880,887,831,885,752,928,62,888,1012,1032,950,756,1179,929,809,322,323,320,321,326,327,324,325,1224,328,329,759,201,200,203,202,205,204,207,206,209,208,779,778,889,77,76,75,74,73,72,71,70,655,79,78,2,1042,1041,1040,1047,1043,1045,1044,1049,1048,1222,805,804,1142,1143,1140,1141,1146,1147,669,668,667,666,665,664,663,662,661,660,1221,769,692,693,690,691,696,697,694,695,698,699,542,543,540,541,546,547,544,545,8,548,549,68,598,995,869,997,996,991,990,993,868,999,998,120,121,122,123,124,125,126,127,128,129,765,1016,1128,1010,1189,1011,414,415,416,417,410,411,412,413,920,498,922,923,418,419,776,499,319,318,313,312,311,310,317,316,315,314,1177,861,921,1126,1181,496,1134,832,833,830,497,836,837,834,835,838,839,808,3,725,368,369,366,367,364,365,362,363,360,361,959,1168,1138,952,882,380,381,382,383,384,385,386,387,388,389,784,785,786,787,780,781,782,783,788,789,1174,860,1223,605,579,578,604,573,572,571,570,577,576,575,574,60,61,258,259,64,65,66,67,252,69,250,251,256,257,254,255,603,1172,602,939,731,730,733,732,735,734,508,509,506,507,504,505,502,503,500,501,630,631,632,633,469,468,636,637,465,464,467,466,461,460,463,462,901,168,169,164,165,166,167,160,161,162,163,964,965,966,967,960,961,962,963,1129,968,969,936,1106,1107,1104,1105,1102,935,1100,1101,1217,934,908,1108,1109,909,1096,1090,1091,600,878,879,876,877,874,875,872,873,870,871,1155,1154,9,1158,1157,890,891,892,893,894,647,896,897,898,899,1087,646,1116,1099,649,1199,1153,648,1152,1086,357,356,355,354,353,352,351,350,803,802,801,800,807,806,359,358,216,217,214,215,212,213,210,211,762,763,760,761,766,767,218,219,957,956,1033,1169,1078,1079,1076,1077,1074,1075,1072,1073,1070,1071,289,288,1003,4,281,280,283,282,285,284,287,286,1094,1095,1083,1097,678,679,1092,1093,674,675,676,677,670,671,672,673,263,262,261,260,267,266,265,264,1121,1031,269,268,701,59,58,1215,55,54,57,56,51,50,53,52,537,536,535,63,533,532,531,530,539,538,987,775,988,989,1171,774,982,983,980,981,986,777,984,985,115,114,117,116,111,110,113,112,771,119,118,770,1187,773,1205,772,953,429,428,534,919,918,421,420,423,422,425,424,427,426,308,309,855,300,301,302,303,304,305,306,307,895,825,824,827,847,846,845,826,843,842,841,840,1151,821,853,849,820,823,1209,822,1164,1210,954,1034,1127,1159,1208,1165,1068,1038,1039,1220,1046,1166,568,569,751,750,757,737,755,754,560,561,562,563,564,565,566,567,739,229,228,227,226,225,224,223,222,221,220,1001,1024,1027,1026,1021,1020,1023,1022,1186,1036,1184,1115,1029,391,1180,1037,726,727,724,390,722,723,720,721,1160,1035,1167,728,729,151,150,153,152,155,154,157,156,159,158,1207,1206,609,608,1203,1202,1204,1211,976,1161,634,399,635,749,958,398,1214,48,49,46,47,44,45,42,43,40,41,1111,638,1113,1112,5,1114,1117,639,1119,1118,1173,1188,1219,1185,1163,489,488,487,486,485,484,483,482,481,480,955,1201,472,473,470,471,476,477,474,475,478,479)") + slicedHex <- hex[c(1200,1175,1183,1144,1162,1218,1145,344,346,347,340,341,342,343,810,811,812,813,348,349,816,817,595,1149,719,718,717,716,715,714,713,712,711,710,915,914,606,917,594,736,916,1182,1061,911,1063,1062,1065,1064,619,910,913,298,299,296,297,294,295,292,293,290,291,591,590,593,592,199,198,597,596,195,194,197,196,191,190,193,192,270,271,272,273,274,275,276,277,278,279,738,1067,524,525,526,527,520,521,522,523,1014,1015,599,1017,528,529,994,1013,1025,449,448,443,442,441,440,447,446,445,444,108,109,1135,102,103,100,101,106,107,104,105,902,903,39,38,906,907,904,905,33,32,31,30,37,36,35,34,641,640,643,642,645,644,438,439,436,437,434,435,432,433,430,431,1156,1002,339,338,335,334,337,336,331,330,333,332,1120,744,1000,745,854,818,856,857,850,851,852,345,858,859,1081,748,6,1150,900,848,99,98,844,1085,91,90,93,92,95,94,97,96,1216,814,1030,815,1098,1066,740,741,742,743,559,558,746,747,555,554,557,556,551,550,553,552,238,239,234,235,236,237,230,231,232,233,1050,1051,1052,1053,1054,1055,1056,1057,1058,1059,1193,992,1195,1194,1197,1196,1,614,146,147,144,145,142,143,140,141,612,613,610,611,616,617,148,149,1007,912,1139,1006,951,1005,1082,1004,948,949,946,947,944,945,942,943,940,941,1191,768,689,688,1190,685,684,687,686,681,680,683,682,623,1192,819,1103,622,1225,133,132,131,130,137,136,135,134,494,495,139,138,490,491,492,493,24,25,26,27,20,21,22,23,927,28,29,407,406,405,404,403,402,401,400,933,932,931,930,937,629,409,408,1069,628,1028,758,1212,1178,1018,379,378,829,828,1060,371,370,373,372,375,374,377,376,1019,708,709,1176,704,705,706,707,700,618,702,703,393,392,88,89,397,396,395,394,82,83,80,81,86,87,84,85,797,796,795,794,793,792,791,790,1170,799,798,7,601,607,586,587,584,585,582,583,580,581,1133,1132,1131,1130,1137,1136,588,589,245,244,247,246,241,240,243,242,615,249,248,1213,924,970,925,519,518,926,1009,1008,511,510,513,512,515,514,517,516,458,459,621,620,627,626,625,624,450,451,452,453,454,455,456,457,1084,979,179,178,177,176,175,174,173,172,171,170,977,656,975,974,973,972,971,657,1080,654,253,978,182,183,180,181,186,187,184,185,886,652,188,189,1122,658,653,1110,1123,650,1124,651,1125,1148,1089,764,1088,11,10,13,12,15,14,17,16,19,18,863,862,865,864,867,866,1198,884,938,659,883,753,881,880,887,831,885,752,928,62,888,1012,1032,950,756,1179,929,809,322,323,320,321,326,327,324,325,1224,328,329,759,201,200,203,202,205,204,207,206,209,208,779,778,889,77,76,75,74,73,72,71,70,655,79,78,2,1042,1041,1040,1047,1043,1045,1044,1049,1048,1222,805,804,1142,1143,1140,1141,1146,1147,669,668,667,666,665,664,663,662,661,660,1221,769,692,693,690,691,696,697,694,695,698,699,542,543,540,541,546,547,544,545,8,548,549,68,598,995,869,997,996,991,990,993,868,999,998,120,121,122,123,124,125,126,127,128,129,765,1016,1128,1010,1189,1011,414,415,416,417,410,411,412,413,920,498,922,923,418,419,776,499,319,318,313,312,311,310,317,316,315,314,1177,861,921,1126,1181,496,1134,832,833,830,497,836,837,834,835,838,839,808,3,725,368,369,366,367,364,365,362,363,360,361,959,1168,1138,952,882,380,381,382,383,384,385,386,387,388,389,784,785,786,787,780,781,782,783,788,789,1174,860,1223,605,579,578,604,573,572,571,570,577,576,575,574,60,61,258,259,64,65,66,67,252,69,250,251,256,257,254,255,603,1172,602,939,731,730,733,732,735,734,508,509,506,507,504,505,502,503,500,501,630,631,632,633,469,468,636,637,465,464,467,466,461,460,463,462,901,168,169,164,165,166,167,160,161,162,163,964,965,966,967,960,961,962,963,1129,968,969,936,1106,1107,1104,1105,1102,935,1100,1101,1217,934,908,1108,1109,909,1096,1090,1091,600,878,879,876,877,874,875,872,873,870,871,1155,1154,9,1158,1157,890,891,892,893,894,647,896,897,898,899,1087,646,1116,1099,649,1199,1153,648,1152,1086,357,356,355,354,353,352,351,350,803,802,801,800,807,806,359,358,216,217,214,215,212,213,210,211,762,763,760,761,766,767,218,219,957,956,1033,1169,1078,1079,1076,1077,1074,1075,1072,1073,1070,1071,289,288,1003,4,281,280,283,282,285,284,287,286,1094,1095,1083,1097,678,679,1092,1093,674,675,676,677,670,671,672,673,263,262,261,260,267,266,265,264,1121,1031,269,268,701,59,58,1215,55,54,57,56,51,50,53,52,537,536,535,63,533,532,531,530,539,538,987,775,988,989,1171,774,982,983,980,981,986,777,984,985,115,114,117,116,111,110,113,112,771,119,118,770,1187,773,1205,772,953,429,428,534,919,918,421,420,423,422,425,424,427,426,308,309,855,300,301,302,303,304,305,306,307,895,825,824,827,847,846,845,826,843,842,841,840,1151,821,853,849,820,823,1209,822,1164,1210,954,1034,1127,1159,1208,1165,1068,1038,1039,1220,1046,1166,568,569,751,750,757,737,755,754,560,561,562,563,564,565,566,567,739,229,228,227,226,225,224,223,222,221,220,1001,1024,1027,1026,1021,1020,1023,1022,1186,1036,1184,1115,1029,391,1180,1037,726,727,724,390,722,723,720,721,1160,1035,1167,728,729,151,150,153,152,155,154,157,156,159,158,1207,1206,609,608,1203,1202,1204,1211,976,1161,634,399,635,749,958,398,1214,48,49,46,47,44,45,42,43,40,41,1111,638,1113,1112,5,1114,1117,639,1119,1118,1173,1188,1219,1185,1163,489,488,487,486,485,484,483,482,481,480,955,1201,472,473,470,471,476,477,474,475,478,479),] + Log.info("Performing a 1-by-1 column slice of test using these columns: ") + Log.info("Performing a 1-by-1 row slice of test using these rows: ") + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("sliceTest_ on data test", sliceTest_test_14(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_sliceTest_train_13.R b/R/tests/testdir_autoGen/runit_sliceTest_train_13.R new file mode 100644 index 0000000000..8bfd8e3cfa --- /dev/null +++ b/R/tests/testdir_autoGen/runit_sliceTest_train_13.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + sliceTest_train_13 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <[> ") + Log.info("Uploading train") + hex <- h2o.uploadFile(conn, "../../smalldata/chess/chess_2x2x10/weka/train.csv.arff", "rtrain.hex") + Log.info("Performing a column slice of train using these columns: c(1)") + slicedHex <- hex[,c(1)] + Log.info("Performing a row & column slice of train using these rows & columns: c(2) & c(24,11,26,12,15,23,2,5,25)") + slicedHex <- hex[c(24,11,26,12,15,23,2,5,25),c(2)] + Log.info("Performing a 1-by-1 column slice of train using these columns: ") + Log.info("Performing a 1-by-1 row slice of train using these rows: ") + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("sliceTest_ on data train", sliceTest_train_13(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_sliceTest_train_15.R b/R/tests/testdir_autoGen/runit_sliceTest_train_15.R new file mode 100644 index 0000000000..9e4bde7548 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_sliceTest_train_15.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + sliceTest_train_15 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <[> ") + Log.info("Uploading train") + hex <- h2o.uploadFile(conn, "../../smalldata/chess/chess_2x1x1000/h2o/train.csv", "rtrain.hex") + Log.info("Performing a row slice of train using these rows: c(216,217,214,215,212,213,210,211,165,264,265,218,219,133,132,131,130,137,136,135,134,139,138,166,24,25,26,27,20,21,22,23,160,28,29,161,289,4,281,8,283,163,285,284,287,286,119,271,258,120,121,122,123,124,125,126,127,128,129,269,268,167,118,59,58,55,54,57,56,51,50,53,52,259,312,298,299,296,297,294,295,292,293,290,291,164,201,318,199,179,200,195,194,197,178,191,190,193,192,115,114,88,89,111,110,113,112,82,83,80,81,86,87,84,85,251,304,198,256,206,226,257,3,177,254,7,247,273,255,308,309,300,301,302,303,225,305,306,307,245,244,108,109,241,240,243,242,102,103,100,101,106,107,104,105,39,38,33,32,31,30,37,36,35,34,246,310,282,252,205,223,176,60,61,62,63,64,65,66,67,68,69,175,174,173,172,171,170,203,222,288,181,253,248,182,183,180,2,162,187,184,6,220,186,188,189,311,202,313,196,221,317,185,315,316,99,98,168,169,229,228,91,90,93,92,95,94,97,96,11,10,13,12,15,14,17,16,19,18,314,117,250,116,274,204,275,151,150,153,152,155,154,157,156,159,158,277,234,238,239,279,207,235,236,237,230,231,232,233,224,280,48,49,46,47,44,45,42,43,40,41,1,5,9,272,146,147,144,145,142,143,140,141,209,208,148,149,77,76,75,74,73,72,71,70,278,79,78,263,249,262,227,261,270,260,276,267,266)") + slicedHex <- hex[c(216,217,214,215,212,213,210,211,165,264,265,218,219,133,132,131,130,137,136,135,134,139,138,166,24,25,26,27,20,21,22,23,160,28,29,161,289,4,281,8,283,163,285,284,287,286,119,271,258,120,121,122,123,124,125,126,127,128,129,269,268,167,118,59,58,55,54,57,56,51,50,53,52,259,312,298,299,296,297,294,295,292,293,290,291,164,201,318,199,179,200,195,194,197,178,191,190,193,192,115,114,88,89,111,110,113,112,82,83,80,81,86,87,84,85,251,304,198,256,206,226,257,3,177,254,7,247,273,255,308,309,300,301,302,303,225,305,306,307,245,244,108,109,241,240,243,242,102,103,100,101,106,107,104,105,39,38,33,32,31,30,37,36,35,34,246,310,282,252,205,223,176,60,61,62,63,64,65,66,67,68,69,175,174,173,172,171,170,203,222,288,181,253,248,182,183,180,2,162,187,184,6,220,186,188,189,311,202,313,196,221,317,185,315,316,99,98,168,169,229,228,91,90,93,92,95,94,97,96,11,10,13,12,15,14,17,16,19,18,314,117,250,116,274,204,275,151,150,153,152,155,154,157,156,159,158,277,234,238,239,279,207,235,236,237,230,231,232,233,224,280,48,49,46,47,44,45,42,43,40,41,1,5,9,272,146,147,144,145,142,143,140,141,209,208,148,149,77,76,75,74,73,72,71,70,278,79,78,263,249,262,227,261,270,260,276,267,266),] + Log.info("Performing a row & column slice of train using these rows & columns: c(\"color\") & c(452,1140,668,818,819,340,342,666,811,813,814,665,817,737,718,715,714,713,711,1069,1068,195,1061,1060,1063,1062,1067,1258,298,299,297,294,292,290,291,1087,1085,1084,199,1082,596,599,1121,1122,196,191,190,193,1088,272,273,274,275,279,524,525,526,527,521,1015,1016,1017,528,529,1234,1236,1237,1230,1231,443,442,441,440,1238,1330,1333,444,108,109,102,100,101,106,107,104,39,38,906,907,904,32,908,30,35,1241,640,1243,1242,1245,644,647,646,436,1248,435,432,430,339,338,335,334,337,336,330,332,558,854,856,850,851,852,6,343,848,98,91,93,92,97,349,740,741,745,746,747,555,554,557,551,1315,553,238,234,235,237,230,231,233,1098,519,1055,1191,1190,1193,1192,1194,1196,1,159,1279,619,1173,143,1171,1170,1270,613,610,611,1274,1276,1178,1139,510,1285,1284,1287,1286,1281,1280,1283,949,946,947,1289,1288,941,1059,684,687,516,681,680,683,682,1227,1306,1300,1301,459,1308,1225,131,498,136,134,494,495,138,490,491,493,25,27,20,22,23,624,29,406,939,404,403,401,400,933,931,930,936,935,408,453,456,379,829,824,827,372,821,374,377,376,1083,708,704,705,594,392,390,397,394,83,399,81,86,87,84,1172,796,795,794,793,792,790,799,612,1272,586,584,582,583,580,581,1133,1132,1130,1137,1136,589,244,247,148,243,249,248,1260,1009,1008,1007,1006,1005,512,515,514,517,1000,623,591,621,626,625,1220,629,628,454,1229,457,592,179,177,176,175,173,172,171,170,973,971,657,979,182,1120,654,181,652,187,650,185,186,189,658,653,686,1125,1126,192,10,13,12,14,19,18,1282,867,866,883,568,885,884,942,889,888,943,929,320,327,201,200,758,771,772,209,75,73,71,70,655,78,1042,1041,1040,1047,1046,1045,609,1048,1222,358,1142,1143,1269,1141,669,1145,1263,1262,1148,664,1267,1265,692,693,691,696,698,542,540,546,547,544,545,549,997,1314,1313,1310,999,998,1318,121,125,128,2,1023,928,415,417,921,922,923,418,925,926,927,318,313,312,310,314,448,1134,832,833,831,838,839,503,3,369,366,364,365,362,363,671,446,380,381,382,385,387,388,389,785,787,781,782,788,789,1174,1253,151,579,1165,573,570,576,60,61,62,606,64,65,67,252,1160,254,154,499,602,731,730,733,1039,508,509,1032,1030,1031,1036,1037,1034,1035,1213,1210,1211,1216,635,1214,638,464,1218,1219,1169,901,168,169,165,166,167,160,161,162,964,965,966,960,961,962,963,968,969,1106,1107,1104,1102,409,1100,1101,1109,879,876,877,874,875,872,873,1155,675,9,140,676,890,892,893,895,896,897,898,1151,1246,1099,1249,1247,672,1152,357,355,352,351,950,803,802,800,807,44,805,804,768,952,213,211,762,760,766,218,765,957,1309,1078,1079,643,1074,1072,1073,1070,1071,289,288,281,280,282,284,287,286,1096,678,1091,1092,1093,674,1154,1157,1156,670,1150,1153,673,1119,261,260,267,265,1118,269,268,59,58,54,57,56,51,50,537,536,259,532,775,988,989,1326,1324,774,982,983,981,986,984,115,110,69,118,206,1256,1257,1255,1252,918,1250,915,423,916,911,424,427,308,309,303,304,306,307,370,847,844,842,849,820,822,1323,1320,1038,145,753,752,751,1329,757,756,755,754,560,562,563,565,566,567,506,1239,227,226,224,222,221,1020,1188,1189,502,1184,1185,1182,1181,723,720,728,729,1164,150,152,1209,600,603,156,1205,158,1207,1206,1201,608,1203,468,749,958,636,48,46,47,953,45,955,40,1113,1112,1116,1292,1293,85,1295,1217,487,485,462,481,473,470,476,477,474,475,479)") + slicedHex <- hex[c(452,1140,668,818,819,340,342,666,811,813,814,665,817,737,718,715,714,713,711,1069,1068,195,1061,1060,1063,1062,1067,1258,298,299,297,294,292,290,291,1087,1085,1084,199,1082,596,599,1121,1122,196,191,190,193,1088,272,273,274,275,279,524,525,526,527,521,1015,1016,1017,528,529,1234,1236,1237,1230,1231,443,442,441,440,1238,1330,1333,444,108,109,102,100,101,106,107,104,39,38,906,907,904,32,908,30,35,1241,640,1243,1242,1245,644,647,646,436,1248,435,432,430,339,338,335,334,337,336,330,332,558,854,856,850,851,852,6,343,848,98,91,93,92,97,349,740,741,745,746,747,555,554,557,551,1315,553,238,234,235,237,230,231,233,1098,519,1055,1191,1190,1193,1192,1194,1196,1,159,1279,619,1173,143,1171,1170,1270,613,610,611,1274,1276,1178,1139,510,1285,1284,1287,1286,1281,1280,1283,949,946,947,1289,1288,941,1059,684,687,516,681,680,683,682,1227,1306,1300,1301,459,1308,1225,131,498,136,134,494,495,138,490,491,493,25,27,20,22,23,624,29,406,939,404,403,401,400,933,931,930,936,935,408,453,456,379,829,824,827,372,821,374,377,376,1083,708,704,705,594,392,390,397,394,83,399,81,86,87,84,1172,796,795,794,793,792,790,799,612,1272,586,584,582,583,580,581,1133,1132,1130,1137,1136,589,244,247,148,243,249,248,1260,1009,1008,1007,1006,1005,512,515,514,517,1000,623,591,621,626,625,1220,629,628,454,1229,457,592,179,177,176,175,173,172,171,170,973,971,657,979,182,1120,654,181,652,187,650,185,186,189,658,653,686,1125,1126,192,10,13,12,14,19,18,1282,867,866,883,568,885,884,942,889,888,943,929,320,327,201,200,758,771,772,209,75,73,71,70,655,78,1042,1041,1040,1047,1046,1045,609,1048,1222,358,1142,1143,1269,1141,669,1145,1263,1262,1148,664,1267,1265,692,693,691,696,698,542,540,546,547,544,545,549,997,1314,1313,1310,999,998,1318,121,125,128,2,1023,928,415,417,921,922,923,418,925,926,927,318,313,312,310,314,448,1134,832,833,831,838,839,503,3,369,366,364,365,362,363,671,446,380,381,382,385,387,388,389,785,787,781,782,788,789,1174,1253,151,579,1165,573,570,576,60,61,62,606,64,65,67,252,1160,254,154,499,602,731,730,733,1039,508,509,1032,1030,1031,1036,1037,1034,1035,1213,1210,1211,1216,635,1214,638,464,1218,1219,1169,901,168,169,165,166,167,160,161,162,964,965,966,960,961,962,963,968,969,1106,1107,1104,1102,409,1100,1101,1109,879,876,877,874,875,872,873,1155,675,9,140,676,890,892,893,895,896,897,898,1151,1246,1099,1249,1247,672,1152,357,355,352,351,950,803,802,800,807,44,805,804,768,952,213,211,762,760,766,218,765,957,1309,1078,1079,643,1074,1072,1073,1070,1071,289,288,281,280,282,284,287,286,1096,678,1091,1092,1093,674,1154,1157,1156,670,1150,1153,673,1119,261,260,267,265,1118,269,268,59,58,54,57,56,51,50,537,536,259,532,775,988,989,1326,1324,774,982,983,981,986,984,115,110,69,118,206,1256,1257,1255,1252,918,1250,915,423,916,911,424,427,308,309,303,304,306,307,370,847,844,842,849,820,822,1323,1320,1038,145,753,752,751,1329,757,756,755,754,560,562,563,565,566,567,506,1239,227,226,224,222,221,1020,1188,1189,502,1184,1185,1182,1181,723,720,728,729,1164,150,152,1209,600,603,156,1205,158,1207,1206,1201,608,1203,468,749,958,636,48,46,47,953,45,955,40,1113,1112,1116,1292,1293,85,1295,1217,487,485,462,481,473,470,476,477,474,475,479),c("color")] + Log.info("Performing a 1-by-1 column slice of train using these columns: ") + Log.info("Performing a 1-by-1 row slice of train using these rows: ") + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("sliceTest_ on data train", sliceTest_train_15(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_sliceTest_train_16.R b/R/tests/testdir_autoGen/runit_sliceTest_train_16.R new file mode 100644 index 0000000000..e96503a8b3 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_sliceTest_train_16.R @@ -0,0 +1,21 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + sliceTest_train_16 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <[> ") + Log.info("Uploading train") + hex <- h2o.uploadFile(conn, "../../smalldata/chess/chess_2x2x1000/weka/train.csv.arff", "rtrain.hex") + Log.info("Performing a column slice of train using these columns: c(1)") + slicedHex <- hex[,c(1)] + Log.info("Performing a row slice of train using these rows: c(344,345,346,347,340,341,342,343,348,349,1653,298,299,296,297,294,295,292,293,290,291,270,271,272,273,274,275,276,277,278,279,108,109,102,103,100,101,106,107,104,105,1372,1001,1210,1375,1655,1374,99,98,91,90,93,92,95,94,97,96,1623,1622,1621,1620,1627,1626,1625,1624,1629,1377,559,558,555,554,557,556,551,550,553,552,1439,1199,1198,1191,1190,1193,1192,1195,1194,1197,1196,1177,1176,1175,1174,1173,1172,1171,1170,1179,1178,511,510,513,1285,1284,1287,512,1281,1280,1283,1282,1003,879,1289,1288,514,1579,1578,689,688,685,684,687,686,681,680,683,682,458,1226,621,873,1224,1223,1222,1221,1220,407,406,405,404,403,402,401,400,1379,1378,1342,409,408,453,454,455,1346,1347,379,378,371,370,373,372,375,374,377,376,393,392,391,390,397,396,395,394,399,398,895,245,244,247,246,241,240,243,242,249,248,179,178,177,176,175,174,173,172,171,170,1502,1503,1500,1501,1506,1507,1367,1504,1505,1227,659,1618,1619,1616,1617,1614,1615,1612,1613,1610,1611,1142,1143,1140,1141,1146,1147,1144,1145,1148,1149,692,693,690,691,696,697,694,695,698,699,1548,1549,542,543,540,541,546,547,544,545,548,549,414,415,416,417,410,411,412,413,1384,1385,1386,1387,418,419,1382,1383,368,369,366,367,364,365,362,363,360,361,380,381,382,383,384,385,386,387,388,389,258,259,252,253,250,251,256,257,254,255,1679,168,169,164,165,166,167,160,161,162,163,678,679,670,671,1609,1608,1601,1600,1603,1602,1605,1604,1607,1606,809,808,803,802,801,800,807,806,805,804,608,1159,1158,1155,1154,1157,1156,1151,1150,1153,1152,1555,1554,1551,1550,1553,1552,59,58,1557,1556,55,54,57,56,51,50,53,52,537,536,535,534,533,532,531,530,539,538,1558,429,428,1399,1398,421,420,423,422,425,424,427,426,853,229,228,227,226,225,224,223,222,221,220,151,150,153,152,155,154,157,156,159,158,1524,1544,1525,1526,818,1527,810,811,812,813,814,815,816,817,1545,1522,1523,1490,1397,1492,1493,1494,1495,1496,1396,1498,1499,1395,1394,1393,1392,1391,1390,1128,1129,1628,1120,1121,1122,1123,1124,1125,1126,1127,524,525,526,527,520,521,522,523,1014,1015,1016,1017,528,529,1012,1013,1234,1235,1236,1237,1230,1231,1232,1233,1238,1239,438,439,436,437,434,435,432,433,430,431,238,239,234,235,236,237,230,231,232,233,1,146,147,144,145,142,143,140,141,148,149,939,938,933,932,931,930,937,936,935,934,829,828,825,824,827,826,821,820,823,822,1536,1483,1482,1481,1480,1487,1486,1485,1484,1489,1488,797,796,795,794,793,792,791,790,799,798,1270,1271,1272,1139,1138,1133,1132,1131,1130,1137,1136,1135,1134,1276,1277,519,518,1009,1008,1007,1006,1005,1004,515,1002,517,1000,623,622,1225,620,627,626,625,624,629,628,1229,1228,1535,2,1286,11,10,13,12,15,14,17,16,19,18,1534,201,200,203,202,205,204,207,206,209,208,1573,1572,1571,1570,1577,1576,1575,1574,928,929,920,921,922,923,924,925,926,927,832,833,830,831,836,837,834,835,838,839,3,1532,784,785,786,787,780,781,782,783,788,789,60,61,62,63,64,65,66,67,68,69,1371,1588,1589,1370,1582,1583,1580,1581,1586,1373,1584,1585,1038,1039,508,509,1032,507,1030,505,502,503,500,501,1212,1213,632,633,1216,1217,636,637,638,639,1218,1219,465,1106,1107,1104,1105,1102,1103,1100,1101,1458,1459,1108,1109,216,217,214,215,212,213,210,211,1530,218,219,4,919,918,915,914,917,916,911,910,913,912,847,846,845,844,843,842,841,840,849,848,663,1587,662,753,752,751,750,757,756,755,754,759,758,1595,506,1597,1596,1591,1590,1593,1033,1599,504,1025,1024,1027,1031,1021,1020,1023,1022,1036,1029,1028,1037,1034,1035,605,604,607,606,601,600,603,602,1205,1204,1207,1206,609,1200,1203,1202,1211,634,635,1214,1215,1111,1110,1113,1112,1115,1114,1117,464,1119,1118,467,1449,1448,466,1357,460,1355,489,488,487,486,485,1354,483,482,481,480,199,198,195,194,197,196,191,190,193,192,1454,1455,1456,1457,1450,1451,1452,1453,902,903,900,901,906,907,904,905,1511,908,909,854,855,856,857,850,851,852,819,858,859,6,740,741,742,743,744,745,746,747,748,749,1050,1051,1052,1053,1054,1055,1056,1057,1058,1059,1692,1690,1691,1278,1279,618,619,612,613,610,611,616,617,614,615,1491,1472,1473,1470,1471,1476,1477,1474,1475,1478,1479,1304,1305,1306,1307,1300,1301,1302,1303,1497,1308,1309,498,499,494,495,496,497,490,491,492,493,24,25,26,27,20,21,22,23,28,29,7,972,1087,1086,1085,1084,1083,1082,977,976,975,974,973,1081,971,970,1080,979,978,182,183,180,181,186,187,184,185,188,189,1559,1464,869,868,861,860,863,862,865,864,867,866,883,882,881,880,887,886,885,884,889,888,775,774,777,776,771,770,773,772,779,778,77,76,75,74,73,72,71,70,79,78,1043,1042,1041,1040,1047,1046,1045,1044,1049,1048,1681,1680,1683,1682,1685,1684,1687,1686,1689,1688,1269,1268,669,668,667,1262,665,664,1267,1266,1265,1264,1469,1468,1465,1018,1467,1466,1461,1460,1463,1019,1317,1316,1315,1314,1313,1312,1311,1310,1319,1318,1010,1011,319,318,313,312,311,310,317,316,315,314,1335,1334,1337,1336,1331,1330,1333,1332,630,631,1521,964,965,966,967,960,961,962,963,968,969,1560,1241,878,1240,876,877,874,875,872,1243,870,871,1242,9,1245,1244,890,891,892,893,894,1247,896,897,898,899,646,1249,648,1537,768,769,762,763,760,761,766,767,764,765,1078,1079,1076,1077,1074,1075,1072,1073,1070,1071,1678,1561,1674,1675,1676,1677,1670,1671,1672,1673,1094,1095,1096,1097,1090,1091,1092,1093,674,675,676,677,1098,1099,672,673,1533,1418,1419,1410,1411,1412,1413,1414,1415,1416,1417,1322,1323,1320,1321,1326,1327,1324,1325,1328,1329,5,1531,1256,1257,1254,1255,1252,1253,1250,1251,1528,1529,1258,1259,308,309,300,301,302,303,304,305,306,307,470,471,1443,476,959,958,951,950,953,952,955,954,957,956,1442,477,1440,1263,666,1261,1260,719,718,717,716,715,714,713,712,711,710,661,660,1069,1068,1061,1060,1063,1062,1065,1064,1067,1066,1669,1668,1667,1666,1665,1664,1663,1662,1661,1660,591,590,593,592,595,594,597,596,599,598,1089,1088,1409,1408,1403,1402,1401,1400,1407,1406,1405,1404,1546,449,448,1339,1338,1547,443,442,441,440,447,446,445,444,1520,1542,1543,39,38,1540,33,32,31,30,37,36,35,34,641,640,643,642,645,644,647,1246,649,1248,1539,1538,339,338,335,334,337,336,331,330,333,332,1026,8,1462,948,949,946,947,944,945,942,943,940,941,133,132,131,130,137,136,135,134,139,138,708,709,704,705,706,707,700,701,702,703,88,89,82,83,80,81,86,87,84,85,1658,1659,1652,1388,1650,1651,1656,1657,1654,1389,586,587,584,585,582,583,580,581,588,589,1633,1436,1437,1434,1435,1432,1433,1430,1431,1380,1438,1381,1349,1541,1348,459,450,451,452,1343,1344,1345,456,457,656,657,654,655,652,653,650,651,1508,1509,658,516,1376,322,323,320,321,326,327,324,325,328,329,1340,1594,1341,1592,1598,995,994,997,996,991,990,993,992,999,998,120,121,122,123,124,125,126,127,128,129,1645,1644,1647,1646,1641,1640,1643,1642,1649,1648,579,578,573,572,571,570,577,576,575,574,1209,1208,1421,1420,1423,1422,1425,1424,1427,1426,1429,1428,731,730,733,732,735,734,737,736,739,738,1359,1358,469,468,1353,1352,1351,1350,461,1356,463,462,1273,1519,1518,1515,1514,1517,1516,1274,1510,1513,1512,1275,357,356,355,354,353,352,351,350,359,358,1447,1446,1445,289,288,1444,281,280,283,282,285,284,287,286,1441,1116,263,262,261,260,267,266,265,264,269,268,1562,1563,1564,1565,1566,1567,988,989,982,983,980,981,986,987,984,985,115,114,117,116,111,110,113,112,119,118,1630,1631,1632,484,1634,1635,1636,1637,1638,1639,568,569,560,561,562,563,564,565,566,567,1188,1189,1186,1187,1184,1185,1182,1183,1180,1181,726,727,724,725,722,723,720,721,728,729,1164,1165,1166,1167,1160,1161,1162,1163,1168,1169,1366,48,49,46,47,44,45,42,43,40,41,1568,1569,1298,1299,1292,1293,1290,1291,1296,1297,1294,1295,474,475,1201,472,473,1364,1365,1362,1363,1360,1361,478,479,1368,1369)") + slicedHex <- hex[c(344,345,346,347,340,341,342,343,348,349,1653,298,299,296,297,294,295,292,293,290,291,270,271,272,273,274,275,276,277,278,279,108,109,102,103,100,101,106,107,104,105,1372,1001,1210,1375,1655,1374,99,98,91,90,93,92,95,94,97,96,1623,1622,1621,1620,1627,1626,1625,1624,1629,1377,559,558,555,554,557,556,551,550,553,552,1439,1199,1198,1191,1190,1193,1192,1195,1194,1197,1196,1177,1176,1175,1174,1173,1172,1171,1170,1179,1178,511,510,513,1285,1284,1287,512,1281,1280,1283,1282,1003,879,1289,1288,514,1579,1578,689,688,685,684,687,686,681,680,683,682,458,1226,621,873,1224,1223,1222,1221,1220,407,406,405,404,403,402,401,400,1379,1378,1342,409,408,453,454,455,1346,1347,379,378,371,370,373,372,375,374,377,376,393,392,391,390,397,396,395,394,399,398,895,245,244,247,246,241,240,243,242,249,248,179,178,177,176,175,174,173,172,171,170,1502,1503,1500,1501,1506,1507,1367,1504,1505,1227,659,1618,1619,1616,1617,1614,1615,1612,1613,1610,1611,1142,1143,1140,1141,1146,1147,1144,1145,1148,1149,692,693,690,691,696,697,694,695,698,699,1548,1549,542,543,540,541,546,547,544,545,548,549,414,415,416,417,410,411,412,413,1384,1385,1386,1387,418,419,1382,1383,368,369,366,367,364,365,362,363,360,361,380,381,382,383,384,385,386,387,388,389,258,259,252,253,250,251,256,257,254,255,1679,168,169,164,165,166,167,160,161,162,163,678,679,670,671,1609,1608,1601,1600,1603,1602,1605,1604,1607,1606,809,808,803,802,801,800,807,806,805,804,608,1159,1158,1155,1154,1157,1156,1151,1150,1153,1152,1555,1554,1551,1550,1553,1552,59,58,1557,1556,55,54,57,56,51,50,53,52,537,536,535,534,533,532,531,530,539,538,1558,429,428,1399,1398,421,420,423,422,425,424,427,426,853,229,228,227,226,225,224,223,222,221,220,151,150,153,152,155,154,157,156,159,158,1524,1544,1525,1526,818,1527,810,811,812,813,814,815,816,817,1545,1522,1523,1490,1397,1492,1493,1494,1495,1496,1396,1498,1499,1395,1394,1393,1392,1391,1390,1128,1129,1628,1120,1121,1122,1123,1124,1125,1126,1127,524,525,526,527,520,521,522,523,1014,1015,1016,1017,528,529,1012,1013,1234,1235,1236,1237,1230,1231,1232,1233,1238,1239,438,439,436,437,434,435,432,433,430,431,238,239,234,235,236,237,230,231,232,233,1,146,147,144,145,142,143,140,141,148,149,939,938,933,932,931,930,937,936,935,934,829,828,825,824,827,826,821,820,823,822,1536,1483,1482,1481,1480,1487,1486,1485,1484,1489,1488,797,796,795,794,793,792,791,790,799,798,1270,1271,1272,1139,1138,1133,1132,1131,1130,1137,1136,1135,1134,1276,1277,519,518,1009,1008,1007,1006,1005,1004,515,1002,517,1000,623,622,1225,620,627,626,625,624,629,628,1229,1228,1535,2,1286,11,10,13,12,15,14,17,16,19,18,1534,201,200,203,202,205,204,207,206,209,208,1573,1572,1571,1570,1577,1576,1575,1574,928,929,920,921,922,923,924,925,926,927,832,833,830,831,836,837,834,835,838,839,3,1532,784,785,786,787,780,781,782,783,788,789,60,61,62,63,64,65,66,67,68,69,1371,1588,1589,1370,1582,1583,1580,1581,1586,1373,1584,1585,1038,1039,508,509,1032,507,1030,505,502,503,500,501,1212,1213,632,633,1216,1217,636,637,638,639,1218,1219,465,1106,1107,1104,1105,1102,1103,1100,1101,1458,1459,1108,1109,216,217,214,215,212,213,210,211,1530,218,219,4,919,918,915,914,917,916,911,910,913,912,847,846,845,844,843,842,841,840,849,848,663,1587,662,753,752,751,750,757,756,755,754,759,758,1595,506,1597,1596,1591,1590,1593,1033,1599,504,1025,1024,1027,1031,1021,1020,1023,1022,1036,1029,1028,1037,1034,1035,605,604,607,606,601,600,603,602,1205,1204,1207,1206,609,1200,1203,1202,1211,634,635,1214,1215,1111,1110,1113,1112,1115,1114,1117,464,1119,1118,467,1449,1448,466,1357,460,1355,489,488,487,486,485,1354,483,482,481,480,199,198,195,194,197,196,191,190,193,192,1454,1455,1456,1457,1450,1451,1452,1453,902,903,900,901,906,907,904,905,1511,908,909,854,855,856,857,850,851,852,819,858,859,6,740,741,742,743,744,745,746,747,748,749,1050,1051,1052,1053,1054,1055,1056,1057,1058,1059,1692,1690,1691,1278,1279,618,619,612,613,610,611,616,617,614,615,1491,1472,1473,1470,1471,1476,1477,1474,1475,1478,1479,1304,1305,1306,1307,1300,1301,1302,1303,1497,1308,1309,498,499,494,495,496,497,490,491,492,493,24,25,26,27,20,21,22,23,28,29,7,972,1087,1086,1085,1084,1083,1082,977,976,975,974,973,1081,971,970,1080,979,978,182,183,180,181,186,187,184,185,188,189,1559,1464,869,868,861,860,863,862,865,864,867,866,883,882,881,880,887,886,885,884,889,888,775,774,777,776,771,770,773,772,779,778,77,76,75,74,73,72,71,70,79,78,1043,1042,1041,1040,1047,1046,1045,1044,1049,1048,1681,1680,1683,1682,1685,1684,1687,1686,1689,1688,1269,1268,669,668,667,1262,665,664,1267,1266,1265,1264,1469,1468,1465,1018,1467,1466,1461,1460,1463,1019,1317,1316,1315,1314,1313,1312,1311,1310,1319,1318,1010,1011,319,318,313,312,311,310,317,316,315,314,1335,1334,1337,1336,1331,1330,1333,1332,630,631,1521,964,965,966,967,960,961,962,963,968,969,1560,1241,878,1240,876,877,874,875,872,1243,870,871,1242,9,1245,1244,890,891,892,893,894,1247,896,897,898,899,646,1249,648,1537,768,769,762,763,760,761,766,767,764,765,1078,1079,1076,1077,1074,1075,1072,1073,1070,1071,1678,1561,1674,1675,1676,1677,1670,1671,1672,1673,1094,1095,1096,1097,1090,1091,1092,1093,674,675,676,677,1098,1099,672,673,1533,1418,1419,1410,1411,1412,1413,1414,1415,1416,1417,1322,1323,1320,1321,1326,1327,1324,1325,1328,1329,5,1531,1256,1257,1254,1255,1252,1253,1250,1251,1528,1529,1258,1259,308,309,300,301,302,303,304,305,306,307,470,471,1443,476,959,958,951,950,953,952,955,954,957,956,1442,477,1440,1263,666,1261,1260,719,718,717,716,715,714,713,712,711,710,661,660,1069,1068,1061,1060,1063,1062,1065,1064,1067,1066,1669,1668,1667,1666,1665,1664,1663,1662,1661,1660,591,590,593,592,595,594,597,596,599,598,1089,1088,1409,1408,1403,1402,1401,1400,1407,1406,1405,1404,1546,449,448,1339,1338,1547,443,442,441,440,447,446,445,444,1520,1542,1543,39,38,1540,33,32,31,30,37,36,35,34,641,640,643,642,645,644,647,1246,649,1248,1539,1538,339,338,335,334,337,336,331,330,333,332,1026,8,1462,948,949,946,947,944,945,942,943,940,941,133,132,131,130,137,136,135,134,139,138,708,709,704,705,706,707,700,701,702,703,88,89,82,83,80,81,86,87,84,85,1658,1659,1652,1388,1650,1651,1656,1657,1654,1389,586,587,584,585,582,583,580,581,588,589,1633,1436,1437,1434,1435,1432,1433,1430,1431,1380,1438,1381,1349,1541,1348,459,450,451,452,1343,1344,1345,456,457,656,657,654,655,652,653,650,651,1508,1509,658,516,1376,322,323,320,321,326,327,324,325,328,329,1340,1594,1341,1592,1598,995,994,997,996,991,990,993,992,999,998,120,121,122,123,124,125,126,127,128,129,1645,1644,1647,1646,1641,1640,1643,1642,1649,1648,579,578,573,572,571,570,577,576,575,574,1209,1208,1421,1420,1423,1422,1425,1424,1427,1426,1429,1428,731,730,733,732,735,734,737,736,739,738,1359,1358,469,468,1353,1352,1351,1350,461,1356,463,462,1273,1519,1518,1515,1514,1517,1516,1274,1510,1513,1512,1275,357,356,355,354,353,352,351,350,359,358,1447,1446,1445,289,288,1444,281,280,283,282,285,284,287,286,1441,1116,263,262,261,260,267,266,265,264,269,268,1562,1563,1564,1565,1566,1567,988,989,982,983,980,981,986,987,984,985,115,114,117,116,111,110,113,112,119,118,1630,1631,1632,484,1634,1635,1636,1637,1638,1639,568,569,560,561,562,563,564,565,566,567,1188,1189,1186,1187,1184,1185,1182,1183,1180,1181,726,727,724,725,722,723,720,721,728,729,1164,1165,1166,1167,1160,1161,1162,1163,1168,1169,1366,48,49,46,47,44,45,42,43,40,41,1568,1569,1298,1299,1292,1293,1290,1291,1296,1297,1294,1295,474,475,1201,472,473,1364,1365,1362,1363,1360,1361,478,479,1368,1369),] + Log.info("Performing a 1-by-1 column slice of train using these columns: ") + Log.info("Performing a 1-by-1 row slice of train using these rows: ") + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("sliceTest_ on data train", sliceTest_train_16(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_sliceTest_train_4.R b/R/tests/testdir_autoGen/runit_sliceTest_train_4.R new file mode 100644 index 0000000000..22f2a1ebba --- /dev/null +++ b/R/tests/testdir_autoGen/runit_sliceTest_train_4.R @@ -0,0 +1,19 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + sliceTest_train_4 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <[> ") + Log.info("Uploading train") + hex <- h2o.uploadFile(conn, "../../smalldata/chess/chess_1x2x1000/h2o/train.csv", "rtrain.hex") + Log.info("Performing a row & column slice of train using these rows & columns: c(\"color\") & c(818,347,342,343,811,812,717,710,1068,195,1060,1067,298,294,292,1129,1084,1083,594,599,1121,197,1123,1126,1127,270,271,1138,275,279,526,527,1018,522,1016,1232,447,446,1333,444,102,100,107,902,903,900,901,33,32,31,30,37,36,34,641,640,1245,438,646,436,434,431,338,336,331,330,333,332,855,857,851,852,853,555,93,94,96,743,744,746,748,550,996,234,235,230,233,1050,1198,1052,1053,1054,1056,1057,1191,1059,992,1194,1196,1,1177,147,1174,1172,612,613,1272,1273,616,1275,1179,1277,1284,1286,1281,1283,1282,1289,941,689,688,685,684,1301,1303,1308,1309,132,137,494,495,491,492,26,27,21,28,29,406,939,938,402,400,936,935,1228,371,370,373,372,821,377,708,1279,705,706,707,703,393,88,397,396,394,83,399,86,87,84,85,414,793,799,798,586,587,584,611,583,580,512,1131,589,245,247,241,614,243,242,615,418,498,1009,511,510,513,1004,515,1001,1000,1227,622,621,627,626,450,451,452,628,454,455,1229,457,174,173,976,975,972,183,979,978,656,1120,180,2,186,653,650,185,189,196,1088,11,10,12,19,863,865,864,886,885,1032,888,323,320,354,327,324,325,562,775,203,204,207,206,208,778,75,74,72,78,1042,1040,1046,1049,804,1268,1147,669,1263,666,1148,228,1267,662,1265,541,544,545,549,995,1314,1313,990,993,1310,1319,121,928,929,410,920,921,922,924,318,313,317,316,315,832,833,834,835,839,366,367,364,365,362,363,361,382,383,385,1332,784,786,782,783,1165,576,574,60,259,64,155,250,251,1163,731,733,506,738,1030,1031,1036,1037,1034,501,1210,468,1214,1215,638,639,1219,463,462,169,164,166,161,162,967,969,1106,1104,1105,1102,1100,908,1109,877,874,875,870,890,891,1247,897,898,671,649,46,808,351,802,800,806,358,215,212,210,211,761,954,1079,1075,1073,1071,289,288,4,281,280,286,1095,1096,1090,1158,1093,674,675,677,670,1099,672,673,263,262,260,267,265,264,59,54,50,537,536,535,533,531,1322,1324,1325,982,980,981,987,985,115,114,117,113,112,119,772,1256,1254,420,425,427,1259,309,300,304,305,842,840,848,753,569,560,759,566,567,739,229,507,225,223,220,1025,1026,1020,1023,1189,1186,1180,1181,726,724,728,729,605,150,1209,600,602,1206,1202,635,959,958,951,950,42,43,40,465,1112,1115,1114,1118,1291,1296,1295,488,486,484,483,481,480,476,477)") + slicedHex <- hex[c(818,347,342,343,811,812,717,710,1068,195,1060,1067,298,294,292,1129,1084,1083,594,599,1121,197,1123,1126,1127,270,271,1138,275,279,526,527,1018,522,1016,1232,447,446,1333,444,102,100,107,902,903,900,901,33,32,31,30,37,36,34,641,640,1245,438,646,436,434,431,338,336,331,330,333,332,855,857,851,852,853,555,93,94,96,743,744,746,748,550,996,234,235,230,233,1050,1198,1052,1053,1054,1056,1057,1191,1059,992,1194,1196,1,1177,147,1174,1172,612,613,1272,1273,616,1275,1179,1277,1284,1286,1281,1283,1282,1289,941,689,688,685,684,1301,1303,1308,1309,132,137,494,495,491,492,26,27,21,28,29,406,939,938,402,400,936,935,1228,371,370,373,372,821,377,708,1279,705,706,707,703,393,88,397,396,394,83,399,86,87,84,85,414,793,799,798,586,587,584,611,583,580,512,1131,589,245,247,241,614,243,242,615,418,498,1009,511,510,513,1004,515,1001,1000,1227,622,621,627,626,450,451,452,628,454,455,1229,457,174,173,976,975,972,183,979,978,656,1120,180,2,186,653,650,185,189,196,1088,11,10,12,19,863,865,864,886,885,1032,888,323,320,354,327,324,325,562,775,203,204,207,206,208,778,75,74,72,78,1042,1040,1046,1049,804,1268,1147,669,1263,666,1148,228,1267,662,1265,541,544,545,549,995,1314,1313,990,993,1310,1319,121,928,929,410,920,921,922,924,318,313,317,316,315,832,833,834,835,839,366,367,364,365,362,363,361,382,383,385,1332,784,786,782,783,1165,576,574,60,259,64,155,250,251,1163,731,733,506,738,1030,1031,1036,1037,1034,501,1210,468,1214,1215,638,639,1219,463,462,169,164,166,161,162,967,969,1106,1104,1105,1102,1100,908,1109,877,874,875,870,890,891,1247,897,898,671,649,46,808,351,802,800,806,358,215,212,210,211,761,954,1079,1075,1073,1071,289,288,4,281,280,286,1095,1096,1090,1158,1093,674,675,677,670,1099,672,673,263,262,260,267,265,264,59,54,50,537,536,535,533,531,1322,1324,1325,982,980,981,987,985,115,114,117,113,112,119,772,1256,1254,420,425,427,1259,309,300,304,305,842,840,848,753,569,560,759,566,567,739,229,507,225,223,220,1025,1026,1020,1023,1189,1186,1180,1181,726,724,728,729,605,150,1209,600,602,1206,1202,635,959,958,951,950,42,43,40,465,1112,1115,1114,1118,1291,1296,1295,488,486,484,483,481,480,476,477),c("color")] + Log.info("Performing a 1-by-1 column slice of train using these columns: ") + Log.info("Performing a 1-by-1 row slice of train using these rows: ") + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("sliceTest_ on data train", sliceTest_train_4(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/runit_sliceTest_wonkysummary_8.R b/R/tests/testdir_autoGen/runit_sliceTest_wonkysummary_8.R new file mode 100644 index 0000000000..4bd6cce045 --- /dev/null +++ b/R/tests/testdir_autoGen/runit_sliceTest_wonkysummary_8.R @@ -0,0 +1,19 @@ + ## + # Author: Autogenerated on 2013-11-27 03:20:00 + # gitHash: 25eb0cfd1269362ae85d0f073d9abde2a68ac0e4 + # SEED: 4617575514352894151 + ## + source('./findNSourceUtils.R') + Log.info("======================== Begin Test ===========================") + sliceTest_wonkysummary_8 <- function(conn) { + Log.info("A munge-task R unit test on data testing the functional unit <[> ") + Log.info("Uploading wonkysummary") + hex <- h2o.uploadFile(conn, "../../smalldata/wonkysummary.csv", "rwonkysummary.hex") + Log.info("Performing a row slice of wonkysummary using these rows: c(216,217,214,215,212,213,210,211,165,264,265,218,219,133,132,131,130,137,136,135,134,139,138,166,24,25,26,27,20,21,22,23,160,28,29,161,289,4,281,8,283,163,285,284,287,286,119,271,258,120,121,122,123,124,125,126,127,128,129,269,268,167,118,59,58,55,54,57,56,51,50,53,52,259,312,298,299,296,297,294,295,292,293,290,291,164,201,199,179,200,195,194,197,178,191,190,193,192,115,114,88,89,111,110,113,112,82,83,80,81,86,87,84,85,251,304,198,256,206,226,257,3,177,254,7,247,273,255,308,309,300,301,302,303,225,305,306,307,245,244,108,109,241,240,243,242,102,103,100,101,106,107,104,105,39,38,33,32,31,30,37,36,35,34,246,310,282,252,205,223,176,60,61,62,63,64,65,66,67,68,69,175,174,173,172,171,170,203,222,288,181,253,248,182,183,180,2,162,187,184,6,220,186,188,189,311,202,313,196,221,317,185,315,316,99,98,168,169,229,228,91,90,93,92,95,94,97,96,11,10,13,12,15,14,17,16,19,18,314,117,250,116,274,204,275,151,150,153,152,155,154,157,156,159,158,277,234,238,239,279,207,235,236,237,230,231,232,233,224,280,48,49,46,47,44,45,42,43,40,41,1,5,9,272,146,147,144,145,142,143,140,141,209,208,148,149,77,76,75,74,73,72,71,70,278,79,78,263,249,262,227,261,270,260,276,267,266)") + slicedHex <- hex[c(216,217,214,215,212,213,210,211,165,264,265,218,219,133,132,131,130,137,136,135,134,139,138,166,24,25,26,27,20,21,22,23,160,28,29,161,289,4,281,8,283,163,285,284,287,286,119,271,258,120,121,122,123,124,125,126,127,128,129,269,268,167,118,59,58,55,54,57,56,51,50,53,52,259,312,298,299,296,297,294,295,292,293,290,291,164,201,199,179,200,195,194,197,178,191,190,193,192,115,114,88,89,111,110,113,112,82,83,80,81,86,87,84,85,251,304,198,256,206,226,257,3,177,254,7,247,273,255,308,309,300,301,302,303,225,305,306,307,245,244,108,109,241,240,243,242,102,103,100,101,106,107,104,105,39,38,33,32,31,30,37,36,35,34,246,310,282,252,205,223,176,60,61,62,63,64,65,66,67,68,69,175,174,173,172,171,170,203,222,288,181,253,248,182,183,180,2,162,187,184,6,220,186,188,189,311,202,313,196,221,317,185,315,316,99,98,168,169,229,228,91,90,93,92,95,94,97,96,11,10,13,12,15,14,17,16,19,18,314,117,250,116,274,204,275,151,150,153,152,155,154,157,156,159,158,277,234,238,239,279,207,235,236,237,230,231,232,233,224,280,48,49,46,47,44,45,42,43,40,41,1,5,9,272,146,147,144,145,142,143,140,141,209,208,148,149,77,76,75,74,73,72,71,70,278,79,78,263,249,262,227,261,270,260,276,267,266),] + Log.info("Performing a 1-by-1 column slice of wonkysummary using these columns: ") + Log.info("Performing a 1-by-1 row slice of wonkysummary using these rows: ") + } + conn = new("H2OClient", ip=myIP, port=myPort) + tryCatch(test_that("sliceTest_ on data wonkysummary", sliceTest_wonkysummary_8(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) + PASS() diff --git a/R/tests/testdir_autoGen/simpleFilterTest_40k_categoricals_6a25b026_816a_48d4_aa4c_a74e2a0b14b5.R b/R/tests/testdir_autoGen/simpleFilterTest_40k_categoricals_6a25b026_816a_48d4_aa4c_a74e2a0b14b5.R deleted file mode 100644 index 7d4553c224..0000000000 --- a/R/tests/testdir_autoGen/simpleFilterTest_40k_categoricals_6a25b026_816a_48d4_aa4c_a74e2a0b14b5.R +++ /dev/null @@ -1,66 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - simpleFilterTest_40k_categoricals_6a25b026_816a_48d4_aa4c_a74e2a0b14b5 <- function(conn) { - Log.info("A munge-task R unit test on data <40k_categoricals> testing the functional unit <>=> ") - Log.info("Uploading 40k_categoricals") - hex <- h2o.uploadFile(conn, "../../../smalldata/categoricals/40k_categoricals.csv.gz", "40k_categoricals.hex") - Log.info("Filtering out rows by >= from dataset 40k_categoricals and column \"1\" using value 5517.67074812") - filterHex <- hex[hex[,c(1)] >= 5517.67074812,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"1" >= 5517.67074812,] - Log.info("Filtering out rows by >= from dataset 40k_categoricals and column \"3\" using value 0.0") - filterHex <- hex[hex[,c(3)] >= 0.0,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"3" >= 0.0,] - Log.info("Filtering out rows by >= from dataset 40k_categoricals and column \"1\" using value 26662.806346") - filterHex <- hex[hex[,c(1)] >= 26662.806346,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"1" >= 26662.806346,] - Log.info("Filtering out rows by >= from dataset 40k_categoricals and column \"3\" using value 0.0") - filterHex <- hex[hex[,c(3)] >= 0.0,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"3" >= 0.0,] - Log.info("Filtering out rows by >= from dataset 40k_categoricals and column \"1\" using value 14808.5559385") - filterHex <- hex[hex[,c(1)] >= 14808.5559385,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"1" >= 14808.5559385,] - Log.info("Filtering out rows by >= from dataset 40k_categoricals and column \"3\" using value 0.0") - filterHex <- hex[hex[,c(3)] >= 0.0,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"3" >= 0.0,] - Log.info("Filtering out rows by >= from dataset 40k_categoricals and column \"3\" using value 0.0") - filterHex <- hex[hex[,c(3)] >= 0.0,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"3" >= 0.0,] - Log.info("Filtering out rows by >= from dataset 40k_categoricals and column \"1\" using value 13557.5037851, and also subsetting columns.") - filterHex <- hex[hex[,c(1)] >= 13557.5037851, c(1)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(1)] >= 13557.5037851, c(1,3,2)] - Log.info("Filtering out rows by >= from dataset 40k_categoricals and column \"1\" using value 11130.4577575, and also subsetting columns.") - filterHex <- hex[hex[,c(1)] >= 11130.4577575, c(1)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(1)] >= 11130.4577575, c(1,3,2)] - Log.info("Filtering out rows by >= from dataset 40k_categoricals and column \"1\" using value 2794.78508979, and also subsetting columns.") - filterHex <- hex[hex[,c(1)] >= 2794.78508979, c(1)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(1)] >= 2794.78508979, c(1,3,2)] - Log.info("Filtering out rows by >= from dataset 40k_categoricals and column \"1\" using value 10810.7345212, and also subsetting columns.") - filterHex <- hex[hex[,c(1)] >= 10810.7345212, c(1)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(1)] >= 10810.7345212, c(1,3,2)] - Log.info("Filtering out rows by >= from dataset 40k_categoricals and column \"3\" using value 0.0, and also subsetting columns.") - filterHex <- hex[hex[,c(3)] >= 0.0, c(3)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(3)] >= 0.0, c(1,3,2)] - Log.info("Filtering out rows by >= from dataset 40k_categoricals and column \"1\" using value 19834.479752, and also subsetting columns.") - filterHex <- hex[hex[,c(1)] >= 19834.479752, c(1)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(1)] >= 19834.479752, c(1,3,2)] - Log.info("Filtering out rows by >= from dataset 40k_categoricals and column \"3\" using value 0.0, and also subsetting columns.") - filterHex <- hex[hex[,c(3)] >= 0.0, c(3)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(3)] >= 0.0, c(1,3,2)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("simpleFilterTest_ on data 40k_categoricals", simpleFilterTest_40k_categoricals_6a25b026_816a_48d4_aa4c_a74e2a0b14b5(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/simpleFilterTest_badchars_d975699e_f42c_43ab_8c68_9d12beff525e.R b/R/tests/testdir_autoGen/simpleFilterTest_badchars_d975699e_f42c_43ab_8c68_9d12beff525e.R deleted file mode 100644 index b0e8b5ab2e..0000000000 --- a/R/tests/testdir_autoGen/simpleFilterTest_badchars_d975699e_f42c_43ab_8c68_9d12beff525e.R +++ /dev/null @@ -1,186 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - simpleFilterTest_badchars_d975699e_f42c_43ab_8c68_9d12beff525e <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <>=> ") - Log.info("Uploading badchars") - hex <- h2o.uploadFile(conn, "../../../smalldata/badchars.csv", "badchars.hex") - Log.info("Filtering out rows by >= from dataset badchars and column \"11\" using value 0.0") - filterHex <- hex[hex[,c(11)] >= 0.0,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"11" >= 0.0,] - Log.info("Filtering out rows by >= from dataset badchars and column \"27\" using value 0.0") - filterHex <- hex[hex[,c(27)] >= 0.0,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"27" >= 0.0,] - Log.info("Filtering out rows by >= from dataset badchars and column \"39\" using value 0.0") - filterHex <- hex[hex[,c(39)] >= 0.0,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"39" >= 0.0,] - Log.info("Filtering out rows by >= from dataset badchars and column \"28\" using value 0.0") - filterHex <- hex[hex[,c(28)] >= 0.0,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"28" >= 0.0,] - Log.info("Filtering out rows by >= from dataset badchars and column \"15\" using value 0.0") - filterHex <- hex[hex[,c(15)] >= 0.0,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"15" >= 0.0,] - Log.info("Filtering out rows by >= from dataset badchars and column \"9\" using value 3867.35669517") - filterHex <- hex[hex[,c(9)] >= 3867.35669517,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"9" >= 3867.35669517,] - Log.info("Filtering out rows by >= from dataset badchars and column \"28\" using value 0.0") - filterHex <- hex[hex[,c(28)] >= 0.0,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"28" >= 0.0,] - Log.info("Filtering out rows by >= from dataset badchars and column \"1\" using value 208.349199326") - filterHex <- hex[hex[,c(1)] >= 208.349199326,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"1" >= 208.349199326,] - Log.info("Filtering out rows by >= from dataset badchars and column \"11\" using value 0.0") - filterHex <- hex[hex[,c(11)] >= 0.0,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"11" >= 0.0,] - Log.info("Filtering out rows by >= from dataset badchars and column \"53\" using value 0.0") - filterHex <- hex[hex[,c(53)] >= 0.0,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"53" >= 0.0,] - Log.info("Filtering out rows by >= from dataset badchars and column \"7\" using value 243.202592853") - filterHex <- hex[hex[,c(7)] >= 243.202592853,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"7" >= 243.202592853,] - Log.info("Filtering out rows by >= from dataset badchars and column \"17\" using value 0.0") - filterHex <- hex[hex[,c(17)] >= 0.0,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"17" >= 0.0,] - Log.info("Filtering out rows by >= from dataset badchars and column \"9\" using value 4713.79896676") - filterHex <- hex[hex[,c(9)] >= 4713.79896676,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"9" >= 4713.79896676,] - Log.info("Filtering out rows by >= from dataset badchars and column \"15\" using value 0.0") - filterHex <- hex[hex[,c(15)] >= 0.0,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"15" >= 0.0,] - Log.info("Filtering out rows by >= from dataset badchars and column \"24\" using value 0.0") - filterHex <- hex[hex[,c(24)] >= 0.0,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"24" >= 0.0,] - Log.info("Filtering out rows by >= from dataset badchars and column \"11\" using value 0.0") - filterHex <- hex[hex[,c(11)] >= 0.0,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"11" >= 0.0,] - Log.info("Filtering out rows by >= from dataset badchars and column \"32\" using value 0.0") - filterHex <- hex[hex[,c(32)] >= 0.0,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"32" >= 0.0,] - Log.info("Filtering out rows by >= from dataset badchars and column \"35\" using value 0.56400570033") - filterHex <- hex[hex[,c(35)] >= 0.56400570033,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"35" >= 0.56400570033,] - Log.info("Filtering out rows by >= from dataset badchars and column \"24\" using value 0.0") - filterHex <- hex[hex[,c(24)] >= 0.0,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"24" >= 0.0,] - Log.info("Filtering out rows by >= from dataset badchars and column \"15\" using value 0.0") - filterHex <- hex[hex[,c(15)] >= 0.0,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"15" >= 0.0,] - Log.info("Filtering out rows by >= from dataset badchars and column \"39\" using value 0.0") - filterHex <- hex[hex[,c(39)] >= 0.0,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"39" >= 0.0,] - Log.info("Filtering out rows by >= from dataset badchars and column \"54\" using value 5.57307990608") - filterHex <- hex[hex[,c(54)] >= 5.57307990608,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"54" >= 5.57307990608,] - Log.info("Filtering out rows by >= from dataset badchars and column \"24\" using value 0.0, and also subsetting columns.") - filterHex <- hex[hex[,c(24)] >= 0.0, c(24)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(24)] >= 0.0, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] - Log.info("Filtering out rows by >= from dataset badchars and column \"41\" using value 0.0, and also subsetting columns.") - filterHex <- hex[hex[,c(41)] >= 0.0, c(41)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(41)] >= 0.0, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] - Log.info("Filtering out rows by >= from dataset badchars and column \"52\" using value 0.0, and also subsetting columns.") - filterHex <- hex[hex[,c(52)] >= 0.0, c(52)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(52)] >= 0.0, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] - Log.info("Filtering out rows by >= from dataset badchars and column \"24\" using value 0.0, and also subsetting columns.") - filterHex <- hex[hex[,c(24)] >= 0.0, c(24)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(24)] >= 0.0, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] - Log.info("Filtering out rows by >= from dataset badchars and column \"9\" using value 2496.50994872, and also subsetting columns.") - filterHex <- hex[hex[,c(9)] >= 2496.50994872, c(9)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(9)] >= 2496.50994872, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] - Log.info("Filtering out rows by >= from dataset badchars and column \"4\" using value 95.7671907437, and also subsetting columns.") - filterHex <- hex[hex[,c(4)] >= 95.7671907437, c(4)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(4)] >= 95.7671907437, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] - Log.info("Filtering out rows by >= from dataset badchars and column \"43\" using value 0.0, and also subsetting columns.") - filterHex <- hex[hex[,c(43)] >= 0.0, c(43)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(43)] >= 0.0, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] - Log.info("Filtering out rows by >= from dataset badchars and column \"22\" using value 0.0, and also subsetting columns.") - filterHex <- hex[hex[,c(22)] >= 0.0, c(22)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(22)] >= 0.0, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] - Log.info("Filtering out rows by >= from dataset badchars and column \"28\" using value 0.0, and also subsetting columns.") - filterHex <- hex[hex[,c(28)] >= 0.0, c(28)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(28)] >= 0.0, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] - Log.info("Filtering out rows by >= from dataset badchars and column \"19\" using value 0.0, and also subsetting columns.") - filterHex <- hex[hex[,c(19)] >= 0.0, c(19)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(19)] >= 0.0, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] - Log.info("Filtering out rows by >= from dataset badchars and column \"26\" using value 0.0, and also subsetting columns.") - filterHex <- hex[hex[,c(26)] >= 0.0, c(26)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(26)] >= 0.0, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] - Log.info("Filtering out rows by >= from dataset badchars and column \"19\" using value 0.0, and also subsetting columns.") - filterHex <- hex[hex[,c(19)] >= 0.0, c(19)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(19)] >= 0.0, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] - Log.info("Filtering out rows by >= from dataset badchars and column \"28\" using value 0.0, and also subsetting columns.") - filterHex <- hex[hex[,c(28)] >= 0.0, c(28)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(28)] >= 0.0, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] - Log.info("Filtering out rows by >= from dataset badchars and column \"53\" using value 0.0, and also subsetting columns.") - filterHex <- hex[hex[,c(53)] >= 0.0, c(53)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(53)] >= 0.0, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] - Log.info("Filtering out rows by >= from dataset badchars and column \"40\" using value 0.0, and also subsetting columns.") - filterHex <- hex[hex[,c(40)] >= 0.0, c(40)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(40)] >= 0.0, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] - Log.info("Filtering out rows by >= from dataset badchars and column \"29\" using value 0.0, and also subsetting columns.") - filterHex <- hex[hex[,c(29)] >= 0.0, c(29)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(29)] >= 0.0, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] - Log.info("Filtering out rows by >= from dataset badchars and column \"20\" using value 0.0, and also subsetting columns.") - filterHex <- hex[hex[,c(20)] >= 0.0, c(20)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(20)] >= 0.0, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] - Log.info("Filtering out rows by >= from dataset badchars and column \"16\" using value 0.0, and also subsetting columns.") - filterHex <- hex[hex[,c(16)] >= 0.0, c(16)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(16)] >= 0.0, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] - Log.info("Filtering out rows by >= from dataset badchars and column \"47\" using value 0.0, and also subsetting columns.") - filterHex <- hex[hex[,c(47)] >= 0.0, c(47)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(47)] >= 0.0, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] - Log.info("Filtering out rows by >= from dataset badchars and column \"51\" using value 0.0, and also subsetting columns.") - filterHex <- hex[hex[,c(51)] >= 0.0, c(51)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(51)] >= 0.0, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] - Log.info("Filtering out rows by >= from dataset badchars and column \"1\" using value 167.845016018, and also subsetting columns.") - filterHex <- hex[hex[,c(1)] >= 167.845016018, c(1)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(1)] >= 167.845016018, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] - Log.info("Filtering out rows by >= from dataset badchars and column \"51\" using value 0.0, and also subsetting columns.") - filterHex <- hex[hex[,c(51)] >= 0.0, c(51)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(51)] >= 0.0, c(54,42,48,43,49,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,38,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,32,50)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("simpleFilterTest_ on data badchars", simpleFilterTest_badchars_d975699e_f42c_43ab_8c68_9d12beff525e(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/simpleFilterTest_benign_92bc4771_bb6d_4d82_a00b_c35d44af6ccc.R b/R/tests/testdir_autoGen/simpleFilterTest_benign_92bc4771_bb6d_4d82_a00b_c35d44af6ccc.R deleted file mode 100644 index 6c0dadc7b7..0000000000 --- a/R/tests/testdir_autoGen/simpleFilterTest_benign_92bc4771_bb6d_4d82_a00b_c35d44af6ccc.R +++ /dev/null @@ -1,138 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - simpleFilterTest_benign_92bc4771_bb6d_4d82_a00b_c35d44af6ccc <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <>=> ") - Log.info("Uploading benign") - hex <- h2o.uploadFile(conn, "../../../smalldata/logreg/benign.csv", "benign.hex") - Log.info("Filtering out rows by >= from dataset benign and column \"STR\" using value 36.708163147") - filterHex <- hex[hex[,c("STR")] >= 36.708163147,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"STR" >= 36.708163147,] - Log.info("Filtering out rows by >= from dataset benign and column \"STR\" using value 8.3524599182") - filterHex <- hex[hex[,c("STR")] >= 8.3524599182,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"STR" >= 8.3524599182,] - Log.info("Filtering out rows by >= from dataset benign and column \"MST\" using value 1.26981097405") - filterHex <- hex[hex[,c("MST")] >= 1.26981097405,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"MST" >= 1.26981097405,] - Log.info("Filtering out rows by >= from dataset benign and column \"OBS\" using value 1.55243587852") - filterHex <- hex[hex[,c("OBS")] >= 1.55243587852,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"OBS" >= 1.55243587852,] - Log.info("Filtering out rows by >= from dataset benign and column \"LIV\" using value 4.43568334739") - filterHex <- hex[hex[,c("LIV")] >= 4.43568334739,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"LIV" >= 4.43568334739,] - Log.info("Filtering out rows by >= from dataset benign and column \"WT\" using value 268.041451837") - filterHex <- hex[hex[,c("WT")] >= 268.041451837,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"WT" >= 268.041451837,] - Log.info("Filtering out rows by >= from dataset benign and column \"HIGD\" using value 16.4500694317") - filterHex <- hex[hex[,c("HIGD")] >= 16.4500694317,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"HIGD" >= 16.4500694317,] - Log.info("Filtering out rows by >= from dataset benign and column \"LIV\" using value 7.65796086343") - filterHex <- hex[hex[,c("LIV")] >= 7.65796086343,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"LIV" >= 7.65796086343,] - Log.info("Filtering out rows by >= from dataset benign and column \"HIGD\" using value 10.3959709084") - filterHex <- hex[hex[,c("HIGD")] >= 10.3959709084,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"HIGD" >= 10.3959709084,] - Log.info("Filtering out rows by >= from dataset benign and column \"CHK\" using value 1.06780633287") - filterHex <- hex[hex[,c("CHK")] >= 1.06780633287,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"CHK" >= 1.06780633287,] - Log.info("Filtering out rows by >= from dataset benign and column \"AGLP\" using value 25.1286582395") - filterHex <- hex[hex[,c("AGLP")] >= 25.1286582395,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"AGLP" >= 25.1286582395,] - Log.info("Filtering out rows by >= from dataset benign and column \"STR\" using value 43.4949597641") - filterHex <- hex[hex[,c("STR")] >= 43.4949597641,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"STR" >= 43.4949597641,] - Log.info("Filtering out rows by >= from dataset benign and column \"AGMN\" using value 16.4056640047") - filterHex <- hex[hex[,c("AGMN")] >= 16.4056640047,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"AGMN" >= 16.4056640047,] - Log.info("Filtering out rows by >= from dataset benign and column \"WT\" using value 206.095968004") - filterHex <- hex[hex[,c("WT")] >= 206.095968004,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"WT" >= 206.095968004,] - Log.info("Filtering out rows by >= from dataset benign and column \"AGMT\" using value 39.3172210763") - filterHex <- hex[hex[,c("AGMT")] >= 39.3172210763,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"AGMT" >= 39.3172210763,] - Log.info("Filtering out rows by >= from dataset benign and column \"OBS\" using value 1.51804097485") - filterHex <- hex[hex[,c("OBS")] >= 1.51804097485,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"OBS" >= 1.51804097485,] - Log.info("Filtering out rows by >= from dataset benign and column \"STR\" using value 27.7193178566, and also subsetting columns.") - filterHex <- hex[hex[,c("STR")] >= 27.7193178566, c("STR")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("STR")] >= 27.7193178566, c("AGP1","MST","AGMT","DEG","HIGD","OBS","FNDX","WT","AGLP","LIV","NLV","AGMN","CHK","STR")] - Log.info("Filtering out rows by >= from dataset benign and column \"STR\" using value 1.95488487381, and also subsetting columns.") - filterHex <- hex[hex[,c("STR")] >= 1.95488487381, c("STR")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("STR")] >= 1.95488487381, c("AGP1","MST","AGMT","DEG","HIGD","OBS","FNDX","WT","AGLP","LIV","NLV","AGMN","CHK","STR")] - Log.info("Filtering out rows by >= from dataset benign and column \"AGLP\" using value 29.4445897775, and also subsetting columns.") - filterHex <- hex[hex[,c("AGLP")] >= 29.4445897775, c("AGLP")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("AGLP")] >= 29.4445897775, c("AGP1","MST","AGMT","DEG","HIGD","OBS","FNDX","WT","AGLP","LIV","NLV","AGMN","CHK","STR")] - Log.info("Filtering out rows by >= from dataset benign and column \"DEG\" using value 2.31226938599, and also subsetting columns.") - filterHex <- hex[hex[,c("DEG")] >= 2.31226938599, c("DEG")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("DEG")] >= 2.31226938599, c("AGP1","MST","AGMT","DEG","HIGD","OBS","FNDX","WT","AGLP","LIV","NLV","AGMN","CHK","STR")] - Log.info("Filtering out rows by >= from dataset benign and column \"OBS\" using value 2.71317354848, and also subsetting columns.") - filterHex <- hex[hex[,c("OBS")] >= 2.71317354848, c("OBS")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("OBS")] >= 2.71317354848, c("AGP1","MST","AGMT","DEG","HIGD","OBS","FNDX","WT","AGLP","LIV","NLV","AGMN","CHK","STR")] - Log.info("Filtering out rows by >= from dataset benign and column \"AGLP\" using value 39.2045998486, and also subsetting columns.") - filterHex <- hex[hex[,c("AGLP")] >= 39.2045998486, c("AGLP")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("AGLP")] >= 39.2045998486, c("AGP1","MST","AGMT","DEG","HIGD","OBS","FNDX","WT","AGLP","LIV","NLV","AGMN","CHK","STR")] - Log.info("Filtering out rows by >= from dataset benign and column \"AGLP\" using value 43.6476552761, and also subsetting columns.") - filterHex <- hex[hex[,c("AGLP")] >= 43.6476552761, c("AGLP")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("AGLP")] >= 43.6476552761, c("AGP1","MST","AGMT","DEG","HIGD","OBS","FNDX","WT","AGLP","LIV","NLV","AGMN","CHK","STR")] - Log.info("Filtering out rows by >= from dataset benign and column \"AGMN\" using value 13.8354874596, and also subsetting columns.") - filterHex <- hex[hex[,c("AGMN")] >= 13.8354874596, c("AGMN")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("AGMN")] >= 13.8354874596, c("AGP1","MST","AGMT","DEG","HIGD","OBS","FNDX","WT","AGLP","LIV","NLV","AGMN","CHK","STR")] - Log.info("Filtering out rows by >= from dataset benign and column \"AGLP\" using value 26.7897459342, and also subsetting columns.") - filterHex <- hex[hex[,c("AGLP")] >= 26.7897459342, c("AGLP")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("AGLP")] >= 26.7897459342, c("AGP1","MST","AGMT","DEG","HIGD","OBS","FNDX","WT","AGLP","LIV","NLV","AGMN","CHK","STR")] - Log.info("Filtering out rows by >= from dataset benign and column \"CHK\" using value 1.08956940708, and also subsetting columns.") - filterHex <- hex[hex[,c("CHK")] >= 1.08956940708, c("CHK")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("CHK")] >= 1.08956940708, c("AGP1","MST","AGMT","DEG","HIGD","OBS","FNDX","WT","AGLP","LIV","NLV","AGMN","CHK","STR")] - Log.info("Filtering out rows by >= from dataset benign and column \"STR\" using value 36.275180957, and also subsetting columns.") - filterHex <- hex[hex[,c("STR")] >= 36.275180957, c("STR")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("STR")] >= 36.275180957, c("AGP1","MST","AGMT","DEG","HIGD","OBS","FNDX","WT","AGLP","LIV","NLV","AGMN","CHK","STR")] - Log.info("Filtering out rows by >= from dataset benign and column \"NLV\" using value 4.40095507026, and also subsetting columns.") - filterHex <- hex[hex[,c("NLV")] >= 4.40095507026, c("NLV")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("NLV")] >= 4.40095507026, c("AGP1","MST","AGMT","DEG","HIGD","OBS","FNDX","WT","AGLP","LIV","NLV","AGMN","CHK","STR")] - Log.info("Filtering out rows by >= from dataset benign and column \"STR\" using value 28.5177228475, and also subsetting columns.") - filterHex <- hex[hex[,c("STR")] >= 28.5177228475, c("STR")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("STR")] >= 28.5177228475, c("AGP1","MST","AGMT","DEG","HIGD","OBS","FNDX","WT","AGLP","LIV","NLV","AGMN","CHK","STR")] - Log.info("Filtering out rows by >= from dataset benign and column \"AGMN\" using value 14.6424796964, and also subsetting columns.") - filterHex <- hex[hex[,c("AGMN")] >= 14.6424796964, c("AGMN")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("AGMN")] >= 14.6424796964, c("AGP1","MST","AGMT","DEG","HIGD","OBS","FNDX","WT","AGLP","LIV","NLV","AGMN","CHK","STR")] - Log.info("Filtering out rows by >= from dataset benign and column \"NLV\" using value 5.42128007307, and also subsetting columns.") - filterHex <- hex[hex[,c("NLV")] >= 5.42128007307, c("NLV")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("NLV")] >= 5.42128007307, c("AGP1","MST","AGMT","DEG","HIGD","OBS","FNDX","WT","AGLP","LIV","NLV","AGMN","CHK","STR")] - Log.info("Filtering out rows by >= from dataset benign and column \"HIGD\" using value 14.4563558422, and also subsetting columns.") - filterHex <- hex[hex[,c("HIGD")] >= 14.4563558422, c("HIGD")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("HIGD")] >= 14.4563558422, c("AGP1","MST","AGMT","DEG","HIGD","OBS","FNDX","WT","AGLP","LIV","NLV","AGMN","CHK","STR")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("simpleFilterTest_ on data benign", simpleFilterTest_benign_92bc4771_bb6d_4d82_a00b_c35d44af6ccc(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/simpleFilterTest_benign_d8ee5aaf_998a_45a7_b5de_13bf687fa575.R b/R/tests/testdir_autoGen/simpleFilterTest_benign_d8ee5aaf_998a_45a7_b5de_13bf687fa575.R deleted file mode 100644 index 8eda004671..0000000000 --- a/R/tests/testdir_autoGen/simpleFilterTest_benign_d8ee5aaf_998a_45a7_b5de_13bf687fa575.R +++ /dev/null @@ -1,50 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - simpleFilterTest_benign_d8ee5aaf_998a_45a7_b5de_13bf687fa575 <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <>=> ") - Log.info("Uploading benign") - hex <- h2o.uploadFile(conn, "../../../smalldata/logreg/benign.xls", "benign.hex") - Log.info("Filtering out rows by >= from dataset benign and column \"AGMT\" using value 47.0028301131") - filterHex <- hex[hex[,c("AGMT")] >= 47.0028301131,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"AGMT" >= 47.0028301131,] - Log.info("Filtering out rows by >= from dataset benign and column \"WT\" using value 91.9768666957") - filterHex <- hex[hex[,c("WT")] >= 91.9768666957,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"WT" >= 91.9768666957,] - Log.info("Filtering out rows by >= from dataset benign and column \"LIV\" using value 2.65834245075") - filterHex <- hex[hex[,c("LIV")] >= 2.65834245075,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"LIV" >= 2.65834245075,] - Log.info("Filtering out rows by >= from dataset benign and column \"NLV\" using value 4.4758414329") - filterHex <- hex[hex[,c("NLV")] >= 4.4758414329,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"NLV" >= 4.4758414329,] - Log.info("Filtering out rows by >= from dataset benign and column \"AGMT\" using value 35.0453297457") - filterHex <- hex[hex[,c("AGMT")] >= 35.0453297457,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"AGMT" >= 35.0453297457,] - Log.info("Filtering out rows by >= from dataset benign and column \"AGMN\" using value 16.3114467677, and also subsetting columns.") - filterHex <- hex[hex[,c("AGMN")] >= 16.3114467677, c("AGMN")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("AGMN")] >= 16.3114467677, c("AGP1","MST","AGMT","DEG","HIGD","OBS","FNDX","WT","AGLP","LIV","NLV","AGMN","CHK","STR")] - Log.info("Filtering out rows by >= from dataset benign and column \"DEG\" using value 1.41817143368, and also subsetting columns.") - filterHex <- hex[hex[,c("DEG")] >= 1.41817143368, c("DEG")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("DEG")] >= 1.41817143368, c("AGP1","MST","AGMT","DEG","HIGD","OBS","FNDX","WT","AGLP","LIV","NLV","AGMN","CHK","STR")] - Log.info("Filtering out rows by >= from dataset benign and column \"LIV\" using value 6.27074816008, and also subsetting columns.") - filterHex <- hex[hex[,c("LIV")] >= 6.27074816008, c("LIV")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("LIV")] >= 6.27074816008, c("AGP1","MST","AGMT","DEG","HIGD","OBS","FNDX","WT","AGLP","LIV","NLV","AGMN","CHK","STR")] - Log.info("Filtering out rows by >= from dataset benign and column \"STR\" using value 35.7403508406, and also subsetting columns.") - filterHex <- hex[hex[,c("STR")] >= 35.7403508406, c("STR")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("STR")] >= 35.7403508406, c("AGP1","MST","AGMT","DEG","HIGD","OBS","FNDX","WT","AGLP","LIV","NLV","AGMN","CHK","STR")] - Log.info("Filtering out rows by >= from dataset benign and column \"AGMT\" using value 58.2408563178, and also subsetting columns.") - filterHex <- hex[hex[,c("AGMT")] >= 58.2408563178, c("AGMT")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("AGMT")] >= 58.2408563178, c("AGP1","MST","AGMT","DEG","HIGD","OBS","FNDX","WT","AGLP","LIV","NLV","AGMN","CHK","STR")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("simpleFilterTest_ on data benign", simpleFilterTest_benign_d8ee5aaf_998a_45a7_b5de_13bf687fa575(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/simpleFilterTest_chess_2x2_500_int_fb318e02_9c5b_4f1b_b31e_7b44b8acfa8d.R b/R/tests/testdir_autoGen/simpleFilterTest_chess_2x2_500_int_fb318e02_9c5b_4f1b_b31e_7b44b8acfa8d.R deleted file mode 100644 index e7fbe90cc7..0000000000 --- a/R/tests/testdir_autoGen/simpleFilterTest_chess_2x2_500_int_fb318e02_9c5b_4f1b_b31e_7b44b8acfa8d.R +++ /dev/null @@ -1,34 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - simpleFilterTest_chess_2x2_500_int_fb318e02_9c5b_4f1b_b31e_7b44b8acfa8d <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <>=> ") - Log.info("Uploading chess_2x2_500_int") - hex <- h2o.uploadFile(conn, "../../../smalldata/chess/chess_2x2x500/h2o/chess_2x2_500_int.csv", "chess_2x2_500_int.hex") - Log.info("Filtering out rows by >= from dataset chess_2x2_500_int and column \"y\" using value 1914206.35905") - filterHex <- hex[hex[,c("y")] >= 1914206.35905,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"y" >= 1914206.35905,] - Log.info("Filtering out rows by >= from dataset chess_2x2_500_int and column \"x\" using value 342257.395966") - filterHex <- hex[hex[,c("x")] >= 342257.395966,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"x" >= 342257.395966,] - Log.info("Filtering out rows by >= from dataset chess_2x2_500_int and column \"x\" using value 903917.292278") - filterHex <- hex[hex[,c("x")] >= 903917.292278,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"x" >= 903917.292278,] - Log.info("Filtering out rows by >= from dataset chess_2x2_500_int and column \"x\" using value 457570.211029, and also subsetting columns.") - filterHex <- hex[hex[,c("x")] >= 457570.211029, c("x")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("x")] >= 457570.211029, c("color","x","y")] - Log.info("Filtering out rows by >= from dataset chess_2x2_500_int and column \"y\" using value 239444.333546, and also subsetting columns.") - filterHex <- hex[hex[,c("y")] >= 239444.333546, c("y")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("y")] >= 239444.333546, c("color","x","y")] - Log.info("Filtering out rows by >= from dataset chess_2x2_500_int and column \"y\" using value 296977.46557, and also subsetting columns.") - filterHex <- hex[hex[,c("y")] >= 296977.46557, c("y")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("y")] >= 296977.46557, c("color","x","y")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("simpleFilterTest_ on data chess_2x2_500_int", simpleFilterTest_chess_2x2_500_int_fb318e02_9c5b_4f1b_b31e_7b44b8acfa8d(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/simpleFilterTest_claim_prediction_train_set_10000_cf2053ce_dedc_4a4e_9ce0_e6534aa19628.R b/R/tests/testdir_autoGen/simpleFilterTest_claim_prediction_train_set_10000_cf2053ce_dedc_4a4e_9ce0_e6534aa19628.R deleted file mode 100644 index 696a1fefc3..0000000000 --- a/R/tests/testdir_autoGen/simpleFilterTest_claim_prediction_train_set_10000_cf2053ce_dedc_4a4e_9ce0_e6534aa19628.R +++ /dev/null @@ -1,74 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - simpleFilterTest_claim_prediction_train_set_10000_cf2053ce_dedc_4a4e_9ce0_e6534aa19628 <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <>=> ") - Log.info("Uploading claim_prediction_train_set_10000") - hex <- h2o.uploadFile(conn, "../../../smalldata/allstate/claim_prediction_train_set_10000.csv.gz", "claim_prediction_train_set_10000.hex") - Log.info("Filtering out rows by >= from dataset claim_prediction_train_set_10000 and column \"NVVar1\" using value 5.99422347801") - filterHex <- hex[hex[,c("NVVar1")] >= 5.99422347801,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"NVVar1" >= 5.99422347801,] - Log.info("Filtering out rows by >= from dataset claim_prediction_train_set_10000 and column \"Var1\" using value 3.55671730404") - filterHex <- hex[hex[,c("Var1")] >= 3.55671730404,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"Var1" >= 3.55671730404,] - Log.info("Filtering out rows by >= from dataset claim_prediction_train_set_10000 and column \"Var7\" using value -1.0824821929") - filterHex <- hex[hex[,c("Var7")] >= -1.0824821929,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"Var7" >= -1.0824821929,] - Log.info("Filtering out rows by >= from dataset claim_prediction_train_set_10000 and column \"Vehicle\" using value 10.1328574599") - filterHex <- hex[hex[,c("Vehicle")] >= 10.1328574599,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"Vehicle" >= 10.1328574599,] - Log.info("Filtering out rows by >= from dataset claim_prediction_train_set_10000 and column \"Calendar_Year\" using value 2005.98186751") - filterHex <- hex[hex[,c("Calendar_Year")] >= 2005.98186751,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"Calendar_Year" >= 2005.98186751,] - Log.info("Filtering out rows by >= from dataset claim_prediction_train_set_10000 and column \"Var1\" using value 1.47225752684") - filterHex <- hex[hex[,c("Var1")] >= 1.47225752684,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"Var1" >= 1.47225752684,] - Log.info("Filtering out rows by >= from dataset claim_prediction_train_set_10000 and column \"NVVar1\" using value 5.25715077132") - filterHex <- hex[hex[,c("NVVar1")] >= 5.25715077132,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"NVVar1" >= 5.25715077132,] - Log.info("Filtering out rows by >= from dataset claim_prediction_train_set_10000 and column \"Var5\" using value -0.305963805361") - filterHex <- hex[hex[,c("Var5")] >= -0.305963805361,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"Var5" >= -0.305963805361,] - Log.info("Filtering out rows by >= from dataset claim_prediction_train_set_10000 and column \"Household_ID\" using value 1372.71064764, and also subsetting columns.") - filterHex <- hex[hex[,c("Household_ID")] >= 1372.71064764, c("Household_ID")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("Household_ID")] >= 1372.71064764, c("Vehicle","Cat8","NVVar1","Var6","Blind_Make","Var7","Var2","Row_ID","Model_Year","Cat2","Cat7","Cat1","Var5","Cat5","Cat11","NVVar3","NVVar2","OrdCat","Var4","Claim_Amount","Cat9","Var1","Var3","Blind_Model","Cat3","Cat6","Calendar_Year","Household_ID","NVCat","Cat4","NVVar4","Var8","Cat10","Blind_Submodel","Cat12")] - Log.info("Filtering out rows by >= from dataset claim_prediction_train_set_10000 and column \"Var4\" using value 2.38062460982, and also subsetting columns.") - filterHex <- hex[hex[,c("Var4")] >= 2.38062460982, c("Var4")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("Var4")] >= 2.38062460982, c("Vehicle","Cat8","NVVar1","Var6","Blind_Make","Var7","Var2","Row_ID","Model_Year","Cat2","Cat7","Cat1","Var5","Cat5","Cat11","NVVar3","NVVar2","OrdCat","Var4","Claim_Amount","Cat9","Var1","Var3","Blind_Model","Cat3","Cat6","Calendar_Year","Household_ID","NVCat","Cat4","NVVar4","Var8","Cat10","Blind_Submodel","Cat12")] - Log.info("Filtering out rows by >= from dataset claim_prediction_train_set_10000 and column \"Var8\" using value 24.1834448099, and also subsetting columns.") - filterHex <- hex[hex[,c("Var8")] >= 24.1834448099, c("Var8")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("Var8")] >= 24.1834448099, c("Vehicle","Cat8","NVVar1","Var6","Blind_Make","Var7","Var2","Row_ID","Model_Year","Cat2","Cat7","Cat1","Var5","Cat5","Cat11","NVVar3","NVVar2","OrdCat","Var4","Claim_Amount","Cat9","Var1","Var3","Blind_Model","Cat3","Cat6","Calendar_Year","Household_ID","NVCat","Cat4","NVVar4","Var8","Cat10","Blind_Submodel","Cat12")] - Log.info("Filtering out rows by >= from dataset claim_prediction_train_set_10000 and column \"Var2\" using value 5.87429162455, and also subsetting columns.") - filterHex <- hex[hex[,c("Var2")] >= 5.87429162455, c("Var2")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("Var2")] >= 5.87429162455, c("Vehicle","Cat8","NVVar1","Var6","Blind_Make","Var7","Var2","Row_ID","Model_Year","Cat2","Cat7","Cat1","Var5","Cat5","Cat11","NVVar3","NVVar2","OrdCat","Var4","Claim_Amount","Cat9","Var1","Var3","Blind_Model","Cat3","Cat6","Calendar_Year","Household_ID","NVCat","Cat4","NVVar4","Var8","Cat10","Blind_Submodel","Cat12")] - Log.info("Filtering out rows by >= from dataset claim_prediction_train_set_10000 and column \"Model_Year\" using value 1992.83103647, and also subsetting columns.") - filterHex <- hex[hex[,c("Model_Year")] >= 1992.83103647, c("Model_Year")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("Model_Year")] >= 1992.83103647, c("Vehicle","Cat8","NVVar1","Var6","Blind_Make","Var7","Var2","Row_ID","Model_Year","Cat2","Cat7","Cat1","Var5","Cat5","Cat11","NVVar3","NVVar2","OrdCat","Var4","Claim_Amount","Cat9","Var1","Var3","Blind_Model","Cat3","Cat6","Calendar_Year","Household_ID","NVCat","Cat4","NVVar4","Var8","Cat10","Blind_Submodel","Cat12")] - Log.info("Filtering out rows by >= from dataset claim_prediction_train_set_10000 and column \"Var5\" using value 3.67061630073, and also subsetting columns.") - filterHex <- hex[hex[,c("Var5")] >= 3.67061630073, c("Var5")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("Var5")] >= 3.67061630073, c("Vehicle","Cat8","NVVar1","Var6","Blind_Make","Var7","Var2","Row_ID","Model_Year","Cat2","Cat7","Cat1","Var5","Cat5","Cat11","NVVar3","NVVar2","OrdCat","Var4","Claim_Amount","Cat9","Var1","Var3","Blind_Model","Cat3","Cat6","Calendar_Year","Household_ID","NVCat","Cat4","NVVar4","Var8","Cat10","Blind_Submodel","Cat12")] - Log.info("Filtering out rows by >= from dataset claim_prediction_train_set_10000 and column \"Household_ID\" using value 2164.79160091, and also subsetting columns.") - filterHex <- hex[hex[,c("Household_ID")] >= 2164.79160091, c("Household_ID")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("Household_ID")] >= 2164.79160091, c("Vehicle","Cat8","NVVar1","Var6","Blind_Make","Var7","Var2","Row_ID","Model_Year","Cat2","Cat7","Cat1","Var5","Cat5","Cat11","NVVar3","NVVar2","OrdCat","Var4","Claim_Amount","Cat9","Var1","Var3","Blind_Model","Cat3","Cat6","Calendar_Year","Household_ID","NVCat","Cat4","NVVar4","Var8","Cat10","Blind_Submodel","Cat12")] - Log.info("Filtering out rows by >= from dataset claim_prediction_train_set_10000 and column \"Var5\" using value 0.946141502517, and also subsetting columns.") - filterHex <- hex[hex[,c("Var5")] >= 0.946141502517, c("Var5")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("Var5")] >= 0.946141502517, c("Vehicle","Cat8","NVVar1","Var6","Blind_Make","Var7","Var2","Row_ID","Model_Year","Cat2","Cat7","Cat1","Var5","Cat5","Cat11","NVVar3","NVVar2","OrdCat","Var4","Claim_Amount","Cat9","Var1","Var3","Blind_Model","Cat3","Cat6","Calendar_Year","Household_ID","NVCat","Cat4","NVVar4","Var8","Cat10","Blind_Submodel","Cat12")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("simpleFilterTest_ on data claim_prediction_train_set_10000", simpleFilterTest_claim_prediction_train_set_10000_cf2053ce_dedc_4a4e_9ce0_e6534aa19628(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/simpleFilterTest_constantColumn_22aaa36a_3fda_4fd7_83c1_a741d2c3959b.R b/R/tests/testdir_autoGen/simpleFilterTest_constantColumn_22aaa36a_3fda_4fd7_83c1_a741d2c3959b.R deleted file mode 100644 index 12135b017f..0000000000 --- a/R/tests/testdir_autoGen/simpleFilterTest_constantColumn_22aaa36a_3fda_4fd7_83c1_a741d2c3959b.R +++ /dev/null @@ -1,18 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - simpleFilterTest_constantColumn_22aaa36a_3fda_4fd7_83c1_a741d2c3959b <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <>=> ") - Log.info("Uploading constantColumn") - hex <- h2o.uploadFile(conn, "../../../smalldata/constantColumn.csv", "constantColumn.hex") - Log.info("Filtering out rows by >= from dataset constantColumn and column \"konstant\" using value 0.1") - filterHex <- hex[hex[,c("konstant")] >= 0.1,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"konstant" >= 0.1,] - Log.info("Filtering out rows by >= from dataset constantColumn and column \"konstant\" using value 0.1, and also subsetting columns.") - filterHex <- hex[hex[,c("konstant")] >= 0.1, c("konstant")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("konstant")] >= 0.1, c("konstant")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("simpleFilterTest_ on data constantColumn", simpleFilterTest_constantColumn_22aaa36a_3fda_4fd7_83c1_a741d2c3959b(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/simpleFilterTest_cuse_fe27bbfa_774b_4505_b168_f00521f6af53.R b/R/tests/testdir_autoGen/simpleFilterTest_cuse_fe27bbfa_774b_4505_b168_f00521f6af53.R deleted file mode 100644 index 7ad21c491a..0000000000 --- a/R/tests/testdir_autoGen/simpleFilterTest_cuse_fe27bbfa_774b_4505_b168_f00521f6af53.R +++ /dev/null @@ -1,66 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - simpleFilterTest_cuse_fe27bbfa_774b_4505_b168_f00521f6af53 <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <>=> ") - Log.info("Uploading cuse") - hex <- h2o.uploadFile(conn, "../../../smalldata/logreg/princeton/cuse.dat", "cuse.hex") - Log.info("Filtering out rows by >= from dataset cuse and column \"using\" using value 4.7485605517") - filterHex <- hex[hex[,c("using")] >= 4.7485605517,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"using" >= 4.7485605517,] - Log.info("Filtering out rows by >= from dataset cuse and column \"notUsing\" using value 195.644150581") - filterHex <- hex[hex[,c("notUsing")] >= 195.644150581,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"notUsing" >= 195.644150581,] - Log.info("Filtering out rows by >= from dataset cuse and column \"notUsing\" using value 31.0959143655") - filterHex <- hex[hex[,c("notUsing")] >= 31.0959143655,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"notUsing" >= 31.0959143655,] - Log.info("Filtering out rows by >= from dataset cuse and column \"using\" using value 10.5981846968") - filterHex <- hex[hex[,c("using")] >= 10.5981846968,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"using" >= 10.5981846968,] - Log.info("Filtering out rows by >= from dataset cuse and column \"notUsing\" using value 93.197791016") - filterHex <- hex[hex[,c("notUsing")] >= 93.197791016,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"notUsing" >= 93.197791016,] - Log.info("Filtering out rows by >= from dataset cuse and column \"notUsing\" using value 83.4152565026") - filterHex <- hex[hex[,c("notUsing")] >= 83.4152565026,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"notUsing" >= 83.4152565026,] - Log.info("Filtering out rows by >= from dataset cuse and column \"notUsing\" using value 148.577509364") - filterHex <- hex[hex[,c("notUsing")] >= 148.577509364,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"notUsing" >= 148.577509364,] - Log.info("Filtering out rows by >= from dataset cuse and column \"notUsing\" using value 101.103192198, and also subsetting columns.") - filterHex <- hex[hex[,c("notUsing")] >= 101.103192198, c("notUsing")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("notUsing")] >= 101.103192198, c("wantsMore","using","education","age","notUsing")] - Log.info("Filtering out rows by >= from dataset cuse and column \"notUsing\" using value 142.644296008, and also subsetting columns.") - filterHex <- hex[hex[,c("notUsing")] >= 142.644296008, c("notUsing")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("notUsing")] >= 142.644296008, c("wantsMore","using","education","age","notUsing")] - Log.info("Filtering out rows by >= from dataset cuse and column \"notUsing\" using value 55.2762526509, and also subsetting columns.") - filterHex <- hex[hex[,c("notUsing")] >= 55.2762526509, c("notUsing")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("notUsing")] >= 55.2762526509, c("wantsMore","using","education","age","notUsing")] - Log.info("Filtering out rows by >= from dataset cuse and column \"notUsing\" using value 24.6266345421, and also subsetting columns.") - filterHex <- hex[hex[,c("notUsing")] >= 24.6266345421, c("notUsing")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("notUsing")] >= 24.6266345421, c("wantsMore","using","education","age","notUsing")] - Log.info("Filtering out rows by >= from dataset cuse and column \"using\" using value 68.938439554, and also subsetting columns.") - filterHex <- hex[hex[,c("using")] >= 68.938439554, c("using")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("using")] >= 68.938439554, c("wantsMore","using","education","age","notUsing")] - Log.info("Filtering out rows by >= from dataset cuse and column \"notUsing\" using value 56.4034590768, and also subsetting columns.") - filterHex <- hex[hex[,c("notUsing")] >= 56.4034590768, c("notUsing")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("notUsing")] >= 56.4034590768, c("wantsMore","using","education","age","notUsing")] - Log.info("Filtering out rows by >= from dataset cuse and column \"using\" using value 58.8266697085, and also subsetting columns.") - filterHex <- hex[hex[,c("using")] >= 58.8266697085, c("using")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("using")] >= 58.8266697085, c("wantsMore","using","education","age","notUsing")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("simpleFilterTest_ on data cuse", simpleFilterTest_cuse_fe27bbfa_774b_4505_b168_f00521f6af53(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/simpleFilterTest_dd-mon-yy-with-other-cols_bfabd23d_c11e_4310_9c97_dfc928183f0c.R b/R/tests/testdir_autoGen/simpleFilterTest_dd-mon-yy-with-other-cols_bfabd23d_c11e_4310_9c97_dfc928183f0c.R deleted file mode 100644 index 00bfbca68c..0000000000 --- a/R/tests/testdir_autoGen/simpleFilterTest_dd-mon-yy-with-other-cols_bfabd23d_c11e_4310_9c97_dfc928183f0c.R +++ /dev/null @@ -1,18 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - simpleFilterTest_dd-mon-yy-with-other-cols_bfabd23d_c11e_4310_9c97_dfc928183f0c <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <>=> ") - Log.info("Uploading dd-mon-yy-with-other-cols") - hex <- h2o.uploadFile(conn, "../../../smalldata/datetime/dd-mon-yy-with-other-cols.csv", "dd-mon-yy-with-other-cols.hex") - Log.info("Filtering out rows by >= from dataset dd-mon-yy-with-other-cols and column \"0\" using value 6716.64789001") - filterHex <- hex[hex[,c(1)] >= 6716.64789001,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"0" >= 6716.64789001,] - Log.info("Filtering out rows by >= from dataset dd-mon-yy-with-other-cols and column \"0\" using value 6543.61631089, and also subsetting columns.") - filterHex <- hex[hex[,c(1)] >= 6543.61631089, c(1)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(1)] >= 6543.61631089, c(1,2)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("simpleFilterTest_ on data dd-mon-yy-with-other-cols", simpleFilterTest_dd-mon-yy-with-other-cols_bfabd23d_c11e_4310_9c97_dfc928183f0c(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/simpleFilterTest_icu_ad639346_b133_4da1_b72b_2ccf791de60c.R b/R/tests/testdir_autoGen/simpleFilterTest_icu_ad639346_b133_4da1_b72b_2ccf791de60c.R deleted file mode 100644 index 9a1275fa7b..0000000000 --- a/R/tests/testdir_autoGen/simpleFilterTest_icu_ad639346_b133_4da1_b72b_2ccf791de60c.R +++ /dev/null @@ -1,202 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - simpleFilterTest_icu_ad639346_b133_4da1_b72b_2ccf791de60c <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <>=> ") - Log.info("Uploading icu") - hex <- h2o.uploadFile(conn, "../../../smalldata/logreg/umass_statdata/icu.dat", "icu.hex") - Log.info("Filtering out rows by >= from dataset icu and column \"6\" using value 0.394191434211") - filterHex <- hex[hex[,c(6)] >= 0.394191434211,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"6" >= 0.394191434211,] - Log.info("Filtering out rows by >= from dataset icu and column \"1\" using value 0.0659076130142") - filterHex <- hex[hex[,c(1)] >= 0.0659076130142,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"1" >= 0.0659076130142,] - Log.info("Filtering out rows by >= from dataset icu and column \"2\" using value 66.5572179763") - filterHex <- hex[hex[,c(2)] >= 66.5572179763,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"2" >= 66.5572179763,] - Log.info("Filtering out rows by >= from dataset icu and column \"15\" using value 0.174831405796") - filterHex <- hex[hex[,c(15)] >= 0.174831405796,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"15" >= 0.174831405796,] - Log.info("Filtering out rows by >= from dataset icu and column \"16\" using value 0.655491971711") - filterHex <- hex[hex[,c(16)] >= 0.655491971711,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"16" >= 0.655491971711,] - Log.info("Filtering out rows by >= from dataset icu and column \"13\" using value 0.442811406343") - filterHex <- hex[hex[,c(13)] >= 0.442811406343,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"13" >= 0.442811406343,] - Log.info("Filtering out rows by >= from dataset icu and column \"11\" using value 172.267961834") - filterHex <- hex[hex[,c(11)] >= 172.267961834,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"11" >= 172.267961834,] - Log.info("Filtering out rows by >= from dataset icu and column \"16\" using value 0.0620562282195") - filterHex <- hex[hex[,c(16)] >= 0.0620562282195,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"16" >= 0.0620562282195,] - Log.info("Filtering out rows by >= from dataset icu and column \"0\" using value 390.198864081") - filterHex <- hex[hex[,c(1)] >= 390.198864081,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"0" >= 390.198864081,] - Log.info("Filtering out rows by >= from dataset icu and column \"0\" using value 593.173169964") - filterHex <- hex[hex[,c(1)] >= 593.173169964,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"0" >= 593.173169964,] - Log.info("Filtering out rows by >= from dataset icu and column \"2\" using value 68.0344131119") - filterHex <- hex[hex[,c(2)] >= 68.0344131119,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"2" >= 68.0344131119,] - Log.info("Filtering out rows by >= from dataset icu and column \"8\" using value 0.783436611153") - filterHex <- hex[hex[,c(8)] >= 0.783436611153,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"8" >= 0.783436611153,] - Log.info("Filtering out rows by >= from dataset icu and column \"4\" using value 1.16581197936") - filterHex <- hex[hex[,c(4)] >= 1.16581197936,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"4" >= 1.16581197936,] - Log.info("Filtering out rows by >= from dataset icu and column \"14\" using value 0.356435196321") - filterHex <- hex[hex[,c(14)] >= 0.356435196321,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"14" >= 0.356435196321,] - Log.info("Filtering out rows by >= from dataset icu and column \"10\" using value 166.194771413") - filterHex <- hex[hex[,c(10)] >= 166.194771413,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"10" >= 166.194771413,] - Log.info("Filtering out rows by >= from dataset icu and column \"0\" using value 628.986099183") - filterHex <- hex[hex[,c(1)] >= 628.986099183,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"0" >= 628.986099183,] - Log.info("Filtering out rows by >= from dataset icu and column \"9\" using value 0.356308908613") - filterHex <- hex[hex[,c(9)] >= 0.356308908613,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"9" >= 0.356308908613,] - Log.info("Filtering out rows by >= from dataset icu and column \"8\" using value 0.242390191742") - filterHex <- hex[hex[,c(8)] >= 0.242390191742,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"8" >= 0.242390191742,] - Log.info("Filtering out rows by >= from dataset icu and column \"13\" using value 0.89400328678") - filterHex <- hex[hex[,c(13)] >= 0.89400328678,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"13" >= 0.89400328678,] - Log.info("Filtering out rows by >= from dataset icu and column \"7\" using value 0.815139234983") - filterHex <- hex[hex[,c(7)] >= 0.815139234983,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"7" >= 0.815139234983,] - Log.info("Filtering out rows by >= from dataset icu and column \"5\" using value 0.914738396674") - filterHex <- hex[hex[,c(5)] >= 0.914738396674,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"5" >= 0.914738396674,] - Log.info("Filtering out rows by >= from dataset icu and column \"18\" using value 0.263278419189") - filterHex <- hex[hex[,c(18)] >= 0.263278419189,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"18" >= 0.263278419189,] - Log.info("Filtering out rows by >= from dataset icu and column \"17\" using value 0.272609279376") - filterHex <- hex[hex[,c(17)] >= 0.272609279376,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"17" >= 0.272609279376,] - Log.info("Filtering out rows by >= from dataset icu and column \"6\" using value 0.465171381692") - filterHex <- hex[hex[,c(6)] >= 0.465171381692,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"6" >= 0.465171381692,] - Log.info("Filtering out rows by >= from dataset icu and column \"0\" using value 407.156866697, and also subsetting columns.") - filterHex <- hex[hex[,c(1)] >= 407.156866697, c(1)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(1)] >= 407.156866697, c(11,10,13,12,15,14,17,16,19,18,20,1,3,2,5,4,7,6,9,8)] - Log.info("Filtering out rows by >= from dataset icu and column \"9\" using value 0.461468505456, and also subsetting columns.") - filterHex <- hex[hex[,c(9)] >= 0.461468505456, c(9)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(9)] >= 0.461468505456, c(11,10,13,12,15,14,17,16,19,18,20,1,3,2,5,4,7,6,9,8)] - Log.info("Filtering out rows by >= from dataset icu and column \"11\" using value 176.403618837, and also subsetting columns.") - filterHex <- hex[hex[,c(11)] >= 176.403618837, c(11)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(11)] >= 176.403618837, c(11,10,13,12,15,14,17,16,19,18,20,1,3,2,5,4,7,6,9,8)] - Log.info("Filtering out rows by >= from dataset icu and column \"19\" using value 0.0635852289062, and also subsetting columns.") - filterHex <- hex[hex[,c(19)] >= 0.0635852289062, c(19)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(19)] >= 0.0635852289062, c(11,10,13,12,15,14,17,16,19,18,20,1,3,2,5,4,7,6,9,8)] - Log.info("Filtering out rows by >= from dataset icu and column \"15\" using value 0.40458701522, and also subsetting columns.") - filterHex <- hex[hex[,c(15)] >= 0.40458701522, c(15)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(15)] >= 0.40458701522, c(11,10,13,12,15,14,17,16,19,18,20,1,3,2,5,4,7,6,9,8)] - Log.info("Filtering out rows by >= from dataset icu and column \"5\" using value 0.712338144039, and also subsetting columns.") - filterHex <- hex[hex[,c(5)] >= 0.712338144039, c(5)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(5)] >= 0.712338144039, c(11,10,13,12,15,14,17,16,19,18,20,1,3,2,5,4,7,6,9,8)] - Log.info("Filtering out rows by >= from dataset icu and column \"11\" using value 182.797884692, and also subsetting columns.") - filterHex <- hex[hex[,c(11)] >= 182.797884692, c(11)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(11)] >= 182.797884692, c(11,10,13,12,15,14,17,16,19,18,20,1,3,2,5,4,7,6,9,8)] - Log.info("Filtering out rows by >= from dataset icu and column \"0\" using value 736.101597957, and also subsetting columns.") - filterHex <- hex[hex[,c(1)] >= 736.101597957, c(1)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(1)] >= 736.101597957, c(11,10,13,12,15,14,17,16,19,18,20,1,3,2,5,4,7,6,9,8)] - Log.info("Filtering out rows by >= from dataset icu and column \"3\" using value 0.00529171104629, and also subsetting columns.") - filterHex <- hex[hex[,c(3)] >= 0.00529171104629, c(3)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(3)] >= 0.00529171104629, c(11,10,13,12,15,14,17,16,19,18,20,1,3,2,5,4,7,6,9,8)] - Log.info("Filtering out rows by >= from dataset icu and column \"20\" using value 0.399055129827, and also subsetting columns.") - filterHex <- hex[hex[,c(20)] >= 0.399055129827, c(20)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(20)] >= 0.399055129827, c(11,10,13,12,15,14,17,16,19,18,20,1,3,2,5,4,7,6,9,8)] - Log.info("Filtering out rows by >= from dataset icu and column \"1\" using value 0.969689772162, and also subsetting columns.") - filterHex <- hex[hex[,c(1)] >= 0.969689772162, c(1)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(1)] >= 0.969689772162, c(11,10,13,12,15,14,17,16,19,18,20,1,3,2,5,4,7,6,9,8)] - Log.info("Filtering out rows by >= from dataset icu and column \"10\" using value 37.459214672, and also subsetting columns.") - filterHex <- hex[hex[,c(10)] >= 37.459214672, c(10)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(10)] >= 37.459214672, c(11,10,13,12,15,14,17,16,19,18,20,1,3,2,5,4,7,6,9,8)] - Log.info("Filtering out rows by >= from dataset icu and column \"13\" using value 0.857329496869, and also subsetting columns.") - filterHex <- hex[hex[,c(13)] >= 0.857329496869, c(13)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(13)] >= 0.857329496869, c(11,10,13,12,15,14,17,16,19,18,20,1,3,2,5,4,7,6,9,8)] - Log.info("Filtering out rows by >= from dataset icu and column \"13\" using value 0.787519750496, and also subsetting columns.") - filterHex <- hex[hex[,c(13)] >= 0.787519750496, c(13)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(13)] >= 0.787519750496, c(11,10,13,12,15,14,17,16,19,18,20,1,3,2,5,4,7,6,9,8)] - Log.info("Filtering out rows by >= from dataset icu and column \"20\" using value 1.58112351371, and also subsetting columns.") - filterHex <- hex[hex[,c(20)] >= 1.58112351371, c(20)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(20)] >= 1.58112351371, c(11,10,13,12,15,14,17,16,19,18,20,1,3,2,5,4,7,6,9,8)] - Log.info("Filtering out rows by >= from dataset icu and column \"20\" using value 0.595423359934, and also subsetting columns.") - filterHex <- hex[hex[,c(20)] >= 0.595423359934, c(20)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(20)] >= 0.595423359934, c(11,10,13,12,15,14,17,16,19,18,20,1,3,2,5,4,7,6,9,8)] - Log.info("Filtering out rows by >= from dataset icu and column \"19\" using value 0.145795512414, and also subsetting columns.") - filterHex <- hex[hex[,c(19)] >= 0.145795512414, c(19)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(19)] >= 0.145795512414, c(11,10,13,12,15,14,17,16,19,18,20,1,3,2,5,4,7,6,9,8)] - Log.info("Filtering out rows by >= from dataset icu and column \"11\" using value 140.631756501, and also subsetting columns.") - filterHex <- hex[hex[,c(11)] >= 140.631756501, c(11)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(11)] >= 140.631756501, c(11,10,13,12,15,14,17,16,19,18,20,1,3,2,5,4,7,6,9,8)] - Log.info("Filtering out rows by >= from dataset icu and column \"16\" using value 0.531542716334, and also subsetting columns.") - filterHex <- hex[hex[,c(16)] >= 0.531542716334, c(16)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(16)] >= 0.531542716334, c(11,10,13,12,15,14,17,16,19,18,20,1,3,2,5,4,7,6,9,8)] - Log.info("Filtering out rows by >= from dataset icu and column \"6\" using value 0.724120545107, and also subsetting columns.") - filterHex <- hex[hex[,c(6)] >= 0.724120545107, c(6)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(6)] >= 0.724120545107, c(11,10,13,12,15,14,17,16,19,18,20,1,3,2,5,4,7,6,9,8)] - Log.info("Filtering out rows by >= from dataset icu and column \"10\" using value 222.615011024, and also subsetting columns.") - filterHex <- hex[hex[,c(10)] >= 222.615011024, c(10)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(10)] >= 222.615011024, c(11,10,13,12,15,14,17,16,19,18,20,1,3,2,5,4,7,6,9,8)] - Log.info("Filtering out rows by >= from dataset icu and column \"11\" using value 141.47136421, and also subsetting columns.") - filterHex <- hex[hex[,c(11)] >= 141.47136421, c(11)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(11)] >= 141.47136421, c(11,10,13,12,15,14,17,16,19,18,20,1,3,2,5,4,7,6,9,8)] - Log.info("Filtering out rows by >= from dataset icu and column \"4\" using value 2.8862205519, and also subsetting columns.") - filterHex <- hex[hex[,c(4)] >= 2.8862205519, c(4)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(4)] >= 2.8862205519, c(11,10,13,12,15,14,17,16,19,18,20,1,3,2,5,4,7,6,9,8)] - Log.info("Filtering out rows by >= from dataset icu and column \"17\" using value 0.658514907112, and also subsetting columns.") - filterHex <- hex[hex[,c(17)] >= 0.658514907112, c(17)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(17)] >= 0.658514907112, c(11,10,13,12,15,14,17,16,19,18,20,1,3,2,5,4,7,6,9,8)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("simpleFilterTest_ on data icu", simpleFilterTest_icu_ad639346_b133_4da1_b72b_2ccf791de60c(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/simpleFilterTest_pros_3fecbfaf_30b8_4541_a211_05c7fa7a39dd.R b/R/tests/testdir_autoGen/simpleFilterTest_pros_3fecbfaf_30b8_4541_a211_05c7fa7a39dd.R deleted file mode 100644 index de8a86ba22..0000000000 --- a/R/tests/testdir_autoGen/simpleFilterTest_pros_3fecbfaf_30b8_4541_a211_05c7fa7a39dd.R +++ /dev/null @@ -1,130 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - simpleFilterTest_pros_3fecbfaf_30b8_4541_a211_05c7fa7a39dd <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <>=> ") - Log.info("Uploading pros") - hex <- h2o.uploadFile(conn, "../../../smalldata/logreg/pros.xls", "pros.hex") - Log.info("Filtering out rows by >= from dataset pros and column \"ID\" using value 335.4593244") - filterHex <- hex[hex[,c("ID")] >= 335.4593244,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"ID" >= 335.4593244,] - Log.info("Filtering out rows by >= from dataset pros and column \"PSA\" using value 106.006372297") - filterHex <- hex[hex[,c("PSA")] >= 106.006372297,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"PSA" >= 106.006372297,] - Log.info("Filtering out rows by >= from dataset pros and column \"CAPSULE\" using value 0.833049219416") - filterHex <- hex[hex[,c("CAPSULE")] >= 0.833049219416,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"CAPSULE" >= 0.833049219416,] - Log.info("Filtering out rows by >= from dataset pros and column \"RACE\" using value 1.61778103526") - filterHex <- hex[hex[,c("RACE")] >= 1.61778103526,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"RACE" >= 1.61778103526,] - Log.info("Filtering out rows by >= from dataset pros and column \"VOL\" using value 7.00024126569") - filterHex <- hex[hex[,c("VOL")] >= 7.00024126569,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"VOL" >= 7.00024126569,] - Log.info("Filtering out rows by >= from dataset pros and column \"PSA\" using value 45.2898477771") - filterHex <- hex[hex[,c("PSA")] >= 45.2898477771,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"PSA" >= 45.2898477771,] - Log.info("Filtering out rows by >= from dataset pros and column \"PSA\" using value 81.3453775434") - filterHex <- hex[hex[,c("PSA")] >= 81.3453775434,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"PSA" >= 81.3453775434,] - Log.info("Filtering out rows by >= from dataset pros and column \"GLEASON\" using value 4.31664721588") - filterHex <- hex[hex[,c("GLEASON")] >= 4.31664721588,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"GLEASON" >= 4.31664721588,] - Log.info("Filtering out rows by >= from dataset pros and column \"ID\" using value 132.71653631") - filterHex <- hex[hex[,c("ID")] >= 132.71653631,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"ID" >= 132.71653631,] - Log.info("Filtering out rows by >= from dataset pros and column \"DPROS\" using value 2.68578841864") - filterHex <- hex[hex[,c("DPROS")] >= 2.68578841864,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"DPROS" >= 2.68578841864,] - Log.info("Filtering out rows by >= from dataset pros and column \"GLEASON\" using value 4.11572512993") - filterHex <- hex[hex[,c("GLEASON")] >= 4.11572512993,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"GLEASON" >= 4.11572512993,] - Log.info("Filtering out rows by >= from dataset pros and column \"PSA\" using value 63.8734471331") - filterHex <- hex[hex[,c("PSA")] >= 63.8734471331,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"PSA" >= 63.8734471331,] - Log.info("Filtering out rows by >= from dataset pros and column \"DCAPS\" using value 1.97595074815") - filterHex <- hex[hex[,c("DCAPS")] >= 1.97595074815,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"DCAPS" >= 1.97595074815,] - Log.info("Filtering out rows by >= from dataset pros and column \"CAPSULE\" using value 0.168759142729") - filterHex <- hex[hex[,c("CAPSULE")] >= 0.168759142729,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"CAPSULE" >= 0.168759142729,] - Log.info("Filtering out rows by >= from dataset pros and column \"DCAPS\" using value 1.54043425274") - filterHex <- hex[hex[,c("DCAPS")] >= 1.54043425274,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"DCAPS" >= 1.54043425274,] - Log.info("Filtering out rows by >= from dataset pros and column \"DCAPS\" using value 1.88014417191, and also subsetting columns.") - filterHex <- hex[hex[,c("DCAPS")] >= 1.88014417191, c("DCAPS")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("DCAPS")] >= 1.88014417191, c("GLEASON","DPROS","PSA","DCAPS","VOL","CAPSULE","RACE","ID","AGE")] - Log.info("Filtering out rows by >= from dataset pros and column \"PSA\" using value 71.8688801532, and also subsetting columns.") - filterHex <- hex[hex[,c("PSA")] >= 71.8688801532, c("PSA")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("PSA")] >= 71.8688801532, c("GLEASON","DPROS","PSA","DCAPS","VOL","CAPSULE","RACE","ID","AGE")] - Log.info("Filtering out rows by >= from dataset pros and column \"AGE\" using value 51.9756476607, and also subsetting columns.") - filterHex <- hex[hex[,c("AGE")] >= 51.9756476607, c("AGE")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("AGE")] >= 51.9756476607, c("GLEASON","DPROS","PSA","DCAPS","VOL","CAPSULE","RACE","ID","AGE")] - Log.info("Filtering out rows by >= from dataset pros and column \"VOL\" using value 87.8590262778, and also subsetting columns.") - filterHex <- hex[hex[,c("VOL")] >= 87.8590262778, c("VOL")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("VOL")] >= 87.8590262778, c("GLEASON","DPROS","PSA","DCAPS","VOL","CAPSULE","RACE","ID","AGE")] - Log.info("Filtering out rows by >= from dataset pros and column \"VOL\" using value 96.4485226157, and also subsetting columns.") - filterHex <- hex[hex[,c("VOL")] >= 96.4485226157, c("VOL")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("VOL")] >= 96.4485226157, c("GLEASON","DPROS","PSA","DCAPS","VOL","CAPSULE","RACE","ID","AGE")] - Log.info("Filtering out rows by >= from dataset pros and column \"RACE\" using value 1.78874969154, and also subsetting columns.") - filterHex <- hex[hex[,c("RACE")] >= 1.78874969154, c("RACE")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("RACE")] >= 1.78874969154, c("GLEASON","DPROS","PSA","DCAPS","VOL","CAPSULE","RACE","ID","AGE")] - Log.info("Filtering out rows by >= from dataset pros and column \"DPROS\" using value 3.99467465469, and also subsetting columns.") - filterHex <- hex[hex[,c("DPROS")] >= 3.99467465469, c("DPROS")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("DPROS")] >= 3.99467465469, c("GLEASON","DPROS","PSA","DCAPS","VOL","CAPSULE","RACE","ID","AGE")] - Log.info("Filtering out rows by >= from dataset pros and column \"DCAPS\" using value 1.33134925109, and also subsetting columns.") - filterHex <- hex[hex[,c("DCAPS")] >= 1.33134925109, c("DCAPS")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("DCAPS")] >= 1.33134925109, c("GLEASON","DPROS","PSA","DCAPS","VOL","CAPSULE","RACE","ID","AGE")] - Log.info("Filtering out rows by >= from dataset pros and column \"VOL\" using value 60.799180588, and also subsetting columns.") - filterHex <- hex[hex[,c("VOL")] >= 60.799180588, c("VOL")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("VOL")] >= 60.799180588, c("GLEASON","DPROS","PSA","DCAPS","VOL","CAPSULE","RACE","ID","AGE")] - Log.info("Filtering out rows by >= from dataset pros and column \"PSA\" using value 39.4167773655, and also subsetting columns.") - filterHex <- hex[hex[,c("PSA")] >= 39.4167773655, c("PSA")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("PSA")] >= 39.4167773655, c("GLEASON","DPROS","PSA","DCAPS","VOL","CAPSULE","RACE","ID","AGE")] - Log.info("Filtering out rows by >= from dataset pros and column \"DPROS\" using value 2.63006237429, and also subsetting columns.") - filterHex <- hex[hex[,c("DPROS")] >= 2.63006237429, c("DPROS")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("DPROS")] >= 2.63006237429, c("GLEASON","DPROS","PSA","DCAPS","VOL","CAPSULE","RACE","ID","AGE")] - Log.info("Filtering out rows by >= from dataset pros and column \"DCAPS\" using value 1.05159094125, and also subsetting columns.") - filterHex <- hex[hex[,c("DCAPS")] >= 1.05159094125, c("DCAPS")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("DCAPS")] >= 1.05159094125, c("GLEASON","DPROS","PSA","DCAPS","VOL","CAPSULE","RACE","ID","AGE")] - Log.info("Filtering out rows by >= from dataset pros and column \"PSA\" using value 103.708090088, and also subsetting columns.") - filterHex <- hex[hex[,c("PSA")] >= 103.708090088, c("PSA")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("PSA")] >= 103.708090088, c("GLEASON","DPROS","PSA","DCAPS","VOL","CAPSULE","RACE","ID","AGE")] - Log.info("Filtering out rows by >= from dataset pros and column \"PSA\" using value 24.674107548, and also subsetting columns.") - filterHex <- hex[hex[,c("PSA")] >= 24.674107548, c("PSA")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("PSA")] >= 24.674107548, c("GLEASON","DPROS","PSA","DCAPS","VOL","CAPSULE","RACE","ID","AGE")] - Log.info("Filtering out rows by >= from dataset pros and column \"GLEASON\" using value 0.202273110654, and also subsetting columns.") - filterHex <- hex[hex[,c("GLEASON")] >= 0.202273110654, c("GLEASON")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("GLEASON")] >= 0.202273110654, c("GLEASON","DPROS","PSA","DCAPS","VOL","CAPSULE","RACE","ID","AGE")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("simpleFilterTest_ on data pros", simpleFilterTest_pros_3fecbfaf_30b8_4541_a211_05c7fa7a39dd(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/simpleFilterTest_pros_450571e8_b050_4dfc_ac63_afd434749b6f.R b/R/tests/testdir_autoGen/simpleFilterTest_pros_450571e8_b050_4dfc_ac63_afd434749b6f.R deleted file mode 100644 index 70e5ecd557..0000000000 --- a/R/tests/testdir_autoGen/simpleFilterTest_pros_450571e8_b050_4dfc_ac63_afd434749b6f.R +++ /dev/null @@ -1,50 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - simpleFilterTest_pros_450571e8_b050_4dfc_ac63_afd434749b6f <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <>=> ") - Log.info("Uploading pros") - hex <- h2o.uploadFile(conn, "../../../smalldata/logreg/umass_statdata/pros.dat", "pros.hex") - Log.info("Filtering out rows by >= from dataset pros and column \"4\" using value 3.70480553605") - filterHex <- hex[hex[,c(4)] >= 3.70480553605,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"4" >= 3.70480553605,] - Log.info("Filtering out rows by >= from dataset pros and column \"1\" using value 0.0445697876365") - filterHex <- hex[hex[,c(1)] >= 0.0445697876365,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"1" >= 0.0445697876365,] - Log.info("Filtering out rows by >= from dataset pros and column \"8\" using value 4.78772630383") - filterHex <- hex[hex[,c(8)] >= 4.78772630383,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"8" >= 4.78772630383,] - Log.info("Filtering out rows by >= from dataset pros and column \"3\" using value 0.513018280615") - filterHex <- hex[hex[,c(3)] >= 0.513018280615,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"3" >= 0.513018280615,] - Log.info("Filtering out rows by >= from dataset pros and column \"7\" using value 41.5242571321") - filterHex <- hex[hex[,c(7)] >= 41.5242571321,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"7" >= 41.5242571321,] - Log.info("Filtering out rows by >= from dataset pros and column \"2\" using value 57.627084865, and also subsetting columns.") - filterHex <- hex[hex[,c(2)] >= 57.627084865, c(2)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(2)] >= 57.627084865, c(1,3,2,5,4,7,6,8)] - Log.info("Filtering out rows by >= from dataset pros and column \"3\" using value 0.365261877799, and also subsetting columns.") - filterHex <- hex[hex[,c(3)] >= 0.365261877799, c(3)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(3)] >= 0.365261877799, c(1,3,2,5,4,7,6,8)] - Log.info("Filtering out rows by >= from dataset pros and column \"4\" using value 2.20358739159, and also subsetting columns.") - filterHex <- hex[hex[,c(4)] >= 2.20358739159, c(4)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(4)] >= 2.20358739159, c(1,3,2,5,4,7,6,8)] - Log.info("Filtering out rows by >= from dataset pros and column \"6\" using value 126.875631561, and also subsetting columns.") - filterHex <- hex[hex[,c(6)] >= 126.875631561, c(6)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(6)] >= 126.875631561, c(1,3,2,5,4,7,6,8)] - Log.info("Filtering out rows by >= from dataset pros and column \"7\" using value 0.769645036204, and also subsetting columns.") - filterHex <- hex[hex[,c(7)] >= 0.769645036204, c(7)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(7)] >= 0.769645036204, c(1,3,2,5,4,7,6,8)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("simpleFilterTest_ on data pros", simpleFilterTest_pros_450571e8_b050_4dfc_ac63_afd434749b6f(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/simpleFilterTest_prostate_7_ffa1c9e7_6702_49e8_bbbb_51f807fdecfc.R b/R/tests/testdir_autoGen/simpleFilterTest_prostate_7_ffa1c9e7_6702_49e8_bbbb_51f807fdecfc.R deleted file mode 100644 index e48e7b505a..0000000000 --- a/R/tests/testdir_autoGen/simpleFilterTest_prostate_7_ffa1c9e7_6702_49e8_bbbb_51f807fdecfc.R +++ /dev/null @@ -1,138 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - simpleFilterTest_prostate_7_ffa1c9e7_6702_49e8_bbbb_51f807fdecfc <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <>=> ") - Log.info("Uploading prostate_7") - hex <- h2o.uploadFile(conn, "../../../smalldata/parse_folder_test/prostate_7.csv", "prostate_7.hex") - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"4\" using value 1.26500151738") - filterHex <- hex[hex[,c(4)] >= 1.26500151738,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"4" >= 1.26500151738,] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"4\" using value 1.01752851228") - filterHex <- hex[hex[,c(4)] >= 1.01752851228,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"4" >= 1.01752851228,] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"4\" using value 3.43350650479") - filterHex <- hex[hex[,c(4)] >= 3.43350650479,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"4" >= 3.43350650479,] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"8\" using value 8.78886190182") - filterHex <- hex[hex[,c(8)] >= 8.78886190182,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"8" >= 8.78886190182,] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"6\" using value 57.8662133755") - filterHex <- hex[hex[,c(6)] >= 57.8662133755,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"6" >= 57.8662133755,] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"8\" using value 6.37072472581") - filterHex <- hex[hex[,c(8)] >= 6.37072472581,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"8" >= 6.37072472581,] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"7\" using value 50.8928656334") - filterHex <- hex[hex[,c(7)] >= 50.8928656334,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"7" >= 50.8928656334,] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"4\" using value 3.07442676389") - filterHex <- hex[hex[,c(4)] >= 3.07442676389,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"4" >= 3.07442676389,] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"0\" using value 272.636464194") - filterHex <- hex[hex[,c(1)] >= 272.636464194,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"0" >= 272.636464194,] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"2\" using value 58.6678347669") - filterHex <- hex[hex[,c(2)] >= 58.6678347669,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"2" >= 58.6678347669,] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"1\" using value 0.42196759576") - filterHex <- hex[hex[,c(1)] >= 0.42196759576,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"1" >= 0.42196759576,] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"0\" using value 265.467431488") - filterHex <- hex[hex[,c(1)] >= 265.467431488,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"0" >= 265.467431488,] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"0\" using value 274.688215309") - filterHex <- hex[hex[,c(1)] >= 274.688215309,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"0" >= 274.688215309,] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"0\" using value 232.651610501") - filterHex <- hex[hex[,c(1)] >= 232.651610501,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"0" >= 232.651610501,] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"2\" using value 51.4293348668") - filterHex <- hex[hex[,c(2)] >= 51.4293348668,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"2" >= 51.4293348668,] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"0\" using value 249.5360918") - filterHex <- hex[hex[,c(1)] >= 249.5360918,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"0" >= 249.5360918,] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"7\" using value 28.4297317629, and also subsetting columns.") - filterHex <- hex[hex[,c(7)] >= 28.4297317629, c(7)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(7)] >= 28.4297317629, c(1,3,2,5,4,7,6,8)] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"4\" using value 1.85524140481, and also subsetting columns.") - filterHex <- hex[hex[,c(4)] >= 1.85524140481, c(4)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(4)] >= 1.85524140481, c(1,3,2,5,4,7,6,8)] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"6\" using value 51.905988574, and also subsetting columns.") - filterHex <- hex[hex[,c(6)] >= 51.905988574, c(6)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(6)] >= 51.905988574, c(1,3,2,5,4,7,6,8)] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"7\" using value 49.1103317562, and also subsetting columns.") - filterHex <- hex[hex[,c(7)] >= 49.1103317562, c(7)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(7)] >= 49.1103317562, c(1,3,2,5,4,7,6,8)] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"5\" using value 1.29400380267, and also subsetting columns.") - filterHex <- hex[hex[,c(5)] >= 1.29400380267, c(5)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(5)] >= 1.29400380267, c(1,3,2,5,4,7,6,8)] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"4\" using value 1.70413701273, and also subsetting columns.") - filterHex <- hex[hex[,c(4)] >= 1.70413701273, c(4)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(4)] >= 1.70413701273, c(1,3,2,5,4,7,6,8)] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"6\" using value 49.550005469, and also subsetting columns.") - filterHex <- hex[hex[,c(6)] >= 49.550005469, c(6)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(6)] >= 49.550005469, c(1,3,2,5,4,7,6,8)] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"6\" using value 88.1335484149, and also subsetting columns.") - filterHex <- hex[hex[,c(6)] >= 88.1335484149, c(6)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(6)] >= 88.1335484149, c(1,3,2,5,4,7,6,8)] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"0\" using value 258.487930278, and also subsetting columns.") - filterHex <- hex[hex[,c(1)] >= 258.487930278, c(1)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(1)] >= 258.487930278, c(1,3,2,5,4,7,6,8)] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"5\" using value 1.48735509423, and also subsetting columns.") - filterHex <- hex[hex[,c(5)] >= 1.48735509423, c(5)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(5)] >= 1.48735509423, c(1,3,2,5,4,7,6,8)] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"8\" using value 5.29582790058, and also subsetting columns.") - filterHex <- hex[hex[,c(8)] >= 5.29582790058, c(8)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(8)] >= 5.29582790058, c(1,3,2,5,4,7,6,8)] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"1\" using value 0.624393380354, and also subsetting columns.") - filterHex <- hex[hex[,c(1)] >= 0.624393380354, c(1)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(1)] >= 0.624393380354, c(1,3,2,5,4,7,6,8)] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"1\" using value 0.469127546968, and also subsetting columns.") - filterHex <- hex[hex[,c(1)] >= 0.469127546968, c(1)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(1)] >= 0.469127546968, c(1,3,2,5,4,7,6,8)] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"1\" using value 0.778919246765, and also subsetting columns.") - filterHex <- hex[hex[,c(1)] >= 0.778919246765, c(1)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(1)] >= 0.778919246765, c(1,3,2,5,4,7,6,8)] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"8\" using value 8.94650264353, and also subsetting columns.") - filterHex <- hex[hex[,c(8)] >= 8.94650264353, c(8)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(8)] >= 8.94650264353, c(1,3,2,5,4,7,6,8)] - Log.info("Filtering out rows by >= from dataset prostate_7 and column \"4\" using value 2.05642680239, and also subsetting columns.") - filterHex <- hex[hex[,c(4)] >= 2.05642680239, c(4)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(4)] >= 2.05642680239, c(1,3,2,5,4,7,6,8)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("simpleFilterTest_ on data prostate_7", simpleFilterTest_prostate_7_ffa1c9e7_6702_49e8_bbbb_51f807fdecfc(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/simpleFilterTest_syn_sphere2_14ad28ee_07d7_48b8_9182_81e79b74e177.R b/R/tests/testdir_autoGen/simpleFilterTest_syn_sphere2_14ad28ee_07d7_48b8_9182_81e79b74e177.R deleted file mode 100644 index 27d50bff66..0000000000 --- a/R/tests/testdir_autoGen/simpleFilterTest_syn_sphere2_14ad28ee_07d7_48b8_9182_81e79b74e177.R +++ /dev/null @@ -1,34 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - simpleFilterTest_syn_sphere2_14ad28ee_07d7_48b8_9182_81e79b74e177 <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <>=> ") - Log.info("Uploading syn_sphere2") - hex <- h2o.uploadFile(conn, "../../../smalldata/syn_sphere2.csv", "syn_sphere2.hex") - Log.info("Filtering out rows by >= from dataset syn_sphere2 and column \"1\" using value 14.4550971892") - filterHex <- hex[hex[,c(1)] >= 14.4550971892,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"1" >= 14.4550971892,] - Log.info("Filtering out rows by >= from dataset syn_sphere2 and column \"2\" using value 47.3822016289") - filterHex <- hex[hex[,c(2)] >= 47.3822016289,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"2" >= 47.3822016289,] - Log.info("Filtering out rows by >= from dataset syn_sphere2 and column \"0\" using value -18.4705437538") - filterHex <- hex[hex[,c(1)] >= -18.4705437538,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"0" >= -18.4705437538,] - Log.info("Filtering out rows by >= from dataset syn_sphere2 and column \"2\" using value 43.0569370137, and also subsetting columns.") - filterHex <- hex[hex[,c(2)] >= 43.0569370137, c(2)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(2)] >= 43.0569370137, c(1,2)] - Log.info("Filtering out rows by >= from dataset syn_sphere2 and column \"0\" using value 6.30519916446, and also subsetting columns.") - filterHex <- hex[hex[,c(1)] >= 6.30519916446, c(1)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(1)] >= 6.30519916446, c(1,2)] - Log.info("Filtering out rows by >= from dataset syn_sphere2 and column \"0\" using value -10.984511801, and also subsetting columns.") - filterHex <- hex[hex[,c(1)] >= -10.984511801, c(1)] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c(1)] >= -10.984511801, c(1,2)] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("simpleFilterTest_ on data syn_sphere2", simpleFilterTest_syn_sphere2_14ad28ee_07d7_48b8_9182_81e79b74e177(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/simpleFilterTest_test_manycol_tree_5f34bcc1_f593_4147_b346_802993f00f87.R b/R/tests/testdir_autoGen/simpleFilterTest_test_manycol_tree_5f34bcc1_f593_4147_b346_802993f00f87.R deleted file mode 100644 index e155c56012..0000000000 --- a/R/tests/testdir_autoGen/simpleFilterTest_test_manycol_tree_5f34bcc1_f593_4147_b346_802993f00f87.R +++ /dev/null @@ -1,98 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - simpleFilterTest_test_manycol_tree_5f34bcc1_f593_4147_b346_802993f00f87 <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <>=> ") - Log.info("Uploading test_manycol_tree") - hex <- h2o.uploadFile(conn, "../../../smalldata/test/test_manycol_tree.csv", "test_manycol_tree.hex") - Log.info("Filtering out rows by >= from dataset test_manycol_tree and column \"B\" using value 1.97800824659") - filterHex <- hex[hex[,c("B")] >= 1.97800824659,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"B" >= 1.97800824659,] - Log.info("Filtering out rows by >= from dataset test_manycol_tree and column \"D\" using value 2.80597255661") - filterHex <- hex[hex[,c("D")] >= 2.80597255661,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"D" >= 2.80597255661,] - Log.info("Filtering out rows by >= from dataset test_manycol_tree and column \"B\" using value 2.30552843847") - filterHex <- hex[hex[,c("B")] >= 2.30552843847,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"B" >= 2.30552843847,] - Log.info("Filtering out rows by >= from dataset test_manycol_tree and column \"X\" using value 2.2632683074") - filterHex <- hex[hex[,c("X")] >= 2.2632683074,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"X" >= 2.2632683074,] - Log.info("Filtering out rows by >= from dataset test_manycol_tree and column \"D\" using value 1.22871311948") - filterHex <- hex[hex[,c("D")] >= 1.22871311948,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"D" >= 1.22871311948,] - Log.info("Filtering out rows by >= from dataset test_manycol_tree and column \"X\" using value 1.70878381659") - filterHex <- hex[hex[,c("X")] >= 1.70878381659,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"X" >= 1.70878381659,] - Log.info("Filtering out rows by >= from dataset test_manycol_tree and column \"X\" using value 1.46637095244") - filterHex <- hex[hex[,c("X")] >= 1.46637095244,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"X" >= 1.46637095244,] - Log.info("Filtering out rows by >= from dataset test_manycol_tree and column \"A\" using value 1.89237896239") - filterHex <- hex[hex[,c("A")] >= 1.89237896239,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"A" >= 1.89237896239,] - Log.info("Filtering out rows by >= from dataset test_manycol_tree and column \"A\" using value 1.59428313584") - filterHex <- hex[hex[,c("A")] >= 1.59428313584,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"A" >= 1.59428313584,] - Log.info("Filtering out rows by >= from dataset test_manycol_tree and column \"A\" using value 2.15105109857") - filterHex <- hex[hex[,c("A")] >= 2.15105109857,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"A" >= 2.15105109857,] - Log.info("Filtering out rows by >= from dataset test_manycol_tree and column \"B\" using value 2.98410581401") - filterHex <- hex[hex[,c("B")] >= 2.98410581401,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"B" >= 2.98410581401,] - Log.info("Filtering out rows by >= from dataset test_manycol_tree and column \"A\" using value 2.88886868266, and also subsetting columns.") - filterHex <- hex[hex[,c("A")] >= 2.88886868266, c("A")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("A")] >= 2.88886868266, c("response","D","B","C","A","X")] - Log.info("Filtering out rows by >= from dataset test_manycol_tree and column \"X\" using value 1.8140281979, and also subsetting columns.") - filterHex <- hex[hex[,c("X")] >= 1.8140281979, c("X")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("X")] >= 1.8140281979, c("response","D","B","C","A","X")] - Log.info("Filtering out rows by >= from dataset test_manycol_tree and column \"B\" using value 1.47724696533, and also subsetting columns.") - filterHex <- hex[hex[,c("B")] >= 1.47724696533, c("B")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("B")] >= 1.47724696533, c("response","D","B","C","A","X")] - Log.info("Filtering out rows by >= from dataset test_manycol_tree and column \"X\" using value 2.11117438653, and also subsetting columns.") - filterHex <- hex[hex[,c("X")] >= 2.11117438653, c("X")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("X")] >= 2.11117438653, c("response","D","B","C","A","X")] - Log.info("Filtering out rows by >= from dataset test_manycol_tree and column \"A\" using value 1.53722584958, and also subsetting columns.") - filterHex <- hex[hex[,c("A")] >= 1.53722584958, c("A")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("A")] >= 1.53722584958, c("response","D","B","C","A","X")] - Log.info("Filtering out rows by >= from dataset test_manycol_tree and column \"C\" using value 1.12764743494, and also subsetting columns.") - filterHex <- hex[hex[,c("C")] >= 1.12764743494, c("C")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("C")] >= 1.12764743494, c("response","D","B","C","A","X")] - Log.info("Filtering out rows by >= from dataset test_manycol_tree and column \"B\" using value 2.82883238525, and also subsetting columns.") - filterHex <- hex[hex[,c("B")] >= 2.82883238525, c("B")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("B")] >= 2.82883238525, c("response","D","B","C","A","X")] - Log.info("Filtering out rows by >= from dataset test_manycol_tree and column \"A\" using value 2.17300109586, and also subsetting columns.") - filterHex <- hex[hex[,c("A")] >= 2.17300109586, c("A")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("A")] >= 2.17300109586, c("response","D","B","C","A","X")] - Log.info("Filtering out rows by >= from dataset test_manycol_tree and column \"B\" using value 2.71126168228, and also subsetting columns.") - filterHex <- hex[hex[,c("B")] >= 2.71126168228, c("B")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("B")] >= 2.71126168228, c("response","D","B","C","A","X")] - Log.info("Filtering out rows by >= from dataset test_manycol_tree and column \"B\" using value 2.8613592604, and also subsetting columns.") - filterHex <- hex[hex[,c("B")] >= 2.8613592604, c("B")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("B")] >= 2.8613592604, c("response","D","B","C","A","X")] - Log.info("Filtering out rows by >= from dataset test_manycol_tree and column \"A\" using value 1.37919430622, and also subsetting columns.") - filterHex <- hex[hex[,c("A")] >= 1.37919430622, c("A")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("A")] >= 1.37919430622, c("response","D","B","C","A","X")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("simpleFilterTest_ on data test_manycol_tree", simpleFilterTest_test_manycol_tree_5f34bcc1_f593_4147_b346_802993f00f87(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/simpleFilterTest_test_tree_1fb34ca1_68db_444e_aa0a_9dd3756d454c.R b/R/tests/testdir_autoGen/simpleFilterTest_test_tree_1fb34ca1_68db_444e_aa0a_9dd3756d454c.R deleted file mode 100644 index 3f85d9339a..0000000000 --- a/R/tests/testdir_autoGen/simpleFilterTest_test_tree_1fb34ca1_68db_444e_aa0a_9dd3756d454c.R +++ /dev/null @@ -1,26 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - simpleFilterTest_test_tree_1fb34ca1_68db_444e_aa0a_9dd3756d454c <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <>=> ") - Log.info("Uploading test_tree") - hex <- h2o.uploadFile(conn, "../../../smalldata/test/test_tree.csv", "test_tree.hex") - Log.info("Filtering out rows by >= from dataset test_tree and column \"X\" using value 1.62029753798") - filterHex <- hex[hex[,c("X")] >= 1.62029753798,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"X" >= 1.62029753798,] - Log.info("Filtering out rows by >= from dataset test_tree and column \"X\" using value 2.00291237686") - filterHex <- hex[hex[,c("X")] >= 2.00291237686,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"X" >= 2.00291237686,] - Log.info("Filtering out rows by >= from dataset test_tree and column \"Y\" using value 0.812256355739, and also subsetting columns.") - filterHex <- hex[hex[,c("Y")] >= 0.812256355739, c("Y")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("Y")] >= 0.812256355739, c("X","Y")] - Log.info("Filtering out rows by >= from dataset test_tree and column \"X\" using value 2.78479471198, and also subsetting columns.") - filterHex <- hex[hex[,c("X")] >= 2.78479471198, c("X")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("X")] >= 2.78479471198, c("X","Y")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("simpleFilterTest_ on data test_tree", simpleFilterTest_test_tree_1fb34ca1_68db_444e_aa0a_9dd3756d454c(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/simpleFilterTest_train_b44f6a0c_95a7_450c_94ab_2cb34839dac7.R b/R/tests/testdir_autoGen/simpleFilterTest_train_b44f6a0c_95a7_450c_94ab_2cb34839dac7.R deleted file mode 100644 index 1b712f1adc..0000000000 --- a/R/tests/testdir_autoGen/simpleFilterTest_train_b44f6a0c_95a7_450c_94ab_2cb34839dac7.R +++ /dev/null @@ -1,34 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - simpleFilterTest_train_b44f6a0c_95a7_450c_94ab_2cb34839dac7 <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <>=> ") - Log.info("Uploading train") - hex <- h2o.uploadFile(conn, "../../../smalldata/chess/chess_1x2x1000/h2o/train.csv", "train.hex") - Log.info("Filtering out rows by >= from dataset train and column \"x\" using value 0.0334710707481") - filterHex <- hex[hex[,c("x")] >= 0.0334710707481,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"x" >= 0.0334710707481,] - Log.info("Filtering out rows by >= from dataset train and column \"y\" using value 1.54561663824") - filterHex <- hex[hex[,c("y")] >= 1.54561663824,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"y" >= 1.54561663824,] - Log.info("Filtering out rows by >= from dataset train and column \"x\" using value 0.872243475096") - filterHex <- hex[hex[,c("x")] >= 0.872243475096,] - Log.info("Perform filtering with the '$' sign also") - filterHex <- hex[hex$"x" >= 0.872243475096,] - Log.info("Filtering out rows by >= from dataset train and column \"x\" using value 0.057099320486, and also subsetting columns.") - filterHex <- hex[hex[,c("x")] >= 0.057099320486, c("x")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("x")] >= 0.057099320486, c("color","x","y")] - Log.info("Filtering out rows by >= from dataset train and column \"y\" using value 0.499305989679, and also subsetting columns.") - filterHex <- hex[hex[,c("y")] >= 0.499305989679, c("y")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("y")] >= 0.499305989679, c("color","x","y")] - Log.info("Filtering out rows by >= from dataset train and column \"x\" using value 0.321394725155, and also subsetting columns.") - filterHex <- hex[hex[,c("x")] >= 0.321394725155, c("x")] - Log.info("Now do the same filter & subset, but select complement of columns.") - filterHex <- hex[hex[,c("x")] >= 0.321394725155, c("color","x","y")] - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("simpleFilterTest_ on data train", simpleFilterTest_train_b44f6a0c_95a7_450c_94ab_2cb34839dac7(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/sliceTest_HTWO-87-one-line-dataset-0_dca14471_0d5a_4e36_8d04_2baaf820ca07.R b/R/tests/testdir_autoGen/sliceTest_HTWO-87-one-line-dataset-0_dca14471_0d5a_4e36_8d04_2baaf820ca07.R deleted file mode 100644 index ca56fa6960..0000000000 --- a/R/tests/testdir_autoGen/sliceTest_HTWO-87-one-line-dataset-0_dca14471_0d5a_4e36_8d04_2baaf820ca07.R +++ /dev/null @@ -1,12 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - sliceTest_HTWO-87-one-line-dataset-0_dca14471_0d5a_4e36_8d04_2baaf820ca07 <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <[> ") - Log.info("Uploading HTWO-87-one-line-dataset-0") - hex <- h2o.uploadFile(conn, "../../../smalldata/test/HTWO-87-one-line-dataset-0.csv", "HTWO-87-one-line-dataset-0.hex") - Log.info("Performing a 1-by-1 column slice of HTWO-87-one-line-dataset-0 using these columns: ") - Log.info("Performing a 1-by-1 row slice of HTWO-87-one-line-dataset-0 using these rows: ") - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("sliceTest_ on data HTWO-87-one-line-dataset-0", sliceTest_HTWO-87-one-line-dataset-0_dca14471_0d5a_4e36_8d04_2baaf820ca07(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/sliceTest_HTWO-87-two-lines-dataset_459d5c06_f2e2_4ea1_8628_40cae73357c2.R b/R/tests/testdir_autoGen/sliceTest_HTWO-87-two-lines-dataset_459d5c06_f2e2_4ea1_8628_40cae73357c2.R deleted file mode 100644 index eeb6d0148f..0000000000 --- a/R/tests/testdir_autoGen/sliceTest_HTWO-87-two-lines-dataset_459d5c06_f2e2_4ea1_8628_40cae73357c2.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - sliceTest_HTWO-87-two-lines-dataset_459d5c06_f2e2_4ea1_8628_40cae73357c2 <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <[> ") - Log.info("Uploading HTWO-87-two-lines-dataset") - hex <- h2o.uploadFile(conn, "../../../smalldata/test/HTWO-87-two-lines-dataset.csv", "HTWO-87-two-lines-dataset.hex") - Log.info("Performing a row slice of HTWO-87-two-lines-dataset using these rows: c(1)") - slicedHex <- hex[c(1),] - Log.info("Performing a row & column slice of HTWO-87-two-lines-dataset using these rows & columns: c(1,3,8) & c(1)") - slicedHex <- hex[c(1),c(1,3,8)] - Log.info("Performing a 1-by-1 column slice of HTWO-87-two-lines-dataset using these columns: ") - Log.info("Performing a 1-by-1 row slice of HTWO-87-two-lines-dataset using these rows: ") - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("sliceTest_ on data HTWO-87-two-lines-dataset", sliceTest_HTWO-87-two-lines-dataset_459d5c06_f2e2_4ea1_8628_40cae73357c2(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/sliceTest_bestbuy_train_10k_67ed1e9d_30a3_4bf5_8515_94f68ca5a924.R b/R/tests/testdir_autoGen/sliceTest_bestbuy_train_10k_67ed1e9d_30a3_4bf5_8515_94f68ca5a924.R deleted file mode 100644 index 24af92df05..0000000000 --- a/R/tests/testdir_autoGen/sliceTest_bestbuy_train_10k_67ed1e9d_30a3_4bf5_8515_94f68ca5a924.R +++ /dev/null @@ -1,14 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - sliceTest_bestbuy_train_10k_67ed1e9d_30a3_4bf5_8515_94f68ca5a924 <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <[> ") - Log.info("Uploading bestbuy_train_10k") - hex <- h2o.uploadFile(conn, "../../../smalldata/kaggle/bestbuy_train_10k.csv.gz", "bestbuy_train_10k.hex") - Log.info("Performing a row & column slice of bestbuy_train_10k using these rows & columns: c(\"query_time\",\"user\",\"category\",\"query\") & 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- slicedHex <- 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- Log.info("Performing a 1-by-1 column slice of bestbuy_train_10k using these columns: ") - Log.info("Performing a 1-by-1 row slice of bestbuy_train_10k using these rows: ") - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("sliceTest_ on data bestbuy_train_10k", sliceTest_bestbuy_train_10k_67ed1e9d_30a3_4bf5_8515_94f68ca5a924(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/sliceTest_chess_train_61f1a03a_75b4_48f3_9f14_ef39d4f1950f.R b/R/tests/testdir_autoGen/sliceTest_chess_train_61f1a03a_75b4_48f3_9f14_ef39d4f1950f.R deleted file mode 100644 index 02977e906d..0000000000 --- a/R/tests/testdir_autoGen/sliceTest_chess_train_61f1a03a_75b4_48f3_9f14_ef39d4f1950f.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - sliceTest_chess_train_61f1a03a_75b4_48f3_9f14_ef39d4f1950f <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <[> ") - Log.info("Uploading chess_train") - hex <- h2o.uploadFile(conn, "../../../smalldata/test/classifier/chess_train.csv", "chess_train.hex") - Log.info("Performing a row slice of chess_train using these rows: c(11,10,13,12,15,14,17,16,18,1,3,2,5,4,7,6,9,8)") - slicedHex <- hex[c(11,10,13,12,15,14,17,16,18,1,3,2,5,4,7,6,9,8),] - Log.info("Performing a row & column slice of chess_train using these rows & columns: c(\"x\") & c(3,4,6)") - slicedHex <- hex[c(3,4,6),c("x")] - Log.info("Performing a 1-by-1 column slice of chess_train using these columns: ") - Log.info("Performing a 1-by-1 row slice of chess_train using these rows: ") - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("sliceTest_ on data chess_train", sliceTest_chess_train_61f1a03a_75b4_48f3_9f14_ef39d4f1950f(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/sliceTest_coldom_test_e5eb4817_bcce_4b10_94c6_fd060b8fc282.R b/R/tests/testdir_autoGen/sliceTest_coldom_test_e5eb4817_bcce_4b10_94c6_fd060b8fc282.R deleted file mode 100644 index c73511c243..0000000000 --- a/R/tests/testdir_autoGen/sliceTest_coldom_test_e5eb4817_bcce_4b10_94c6_fd060b8fc282.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - sliceTest_coldom_test_e5eb4817_bcce_4b10_94c6_fd060b8fc282 <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <[> ") - Log.info("Uploading coldom_test") - hex <- h2o.uploadFile(conn, "../../../smalldata/test/classifier/coldom_test.csv", "coldom_test.hex") - Log.info("Performing a column slice of coldom_test using these columns: c(1)") - slicedHex <- hex[,c(1)] - Log.info("Performing a row slice of coldom_test using these rows: c(1)") - slicedHex <- hex[c(1),] - Log.info("Performing a 1-by-1 column slice of coldom_test using these columns: ") - Log.info("Performing a 1-by-1 row slice of coldom_test using these rows: ") - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("sliceTest_ on data coldom_test", sliceTest_coldom_test_e5eb4817_bcce_4b10_94c6_fd060b8fc282(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/sliceTest_hex-443_33bbde55_e293_449d_b4bd_e896feac1a36.R b/R/tests/testdir_autoGen/sliceTest_hex-443_33bbde55_e293_449d_b4bd_e896feac1a36.R deleted file mode 100644 index 097707e077..0000000000 --- a/R/tests/testdir_autoGen/sliceTest_hex-443_33bbde55_e293_449d_b4bd_e896feac1a36.R +++ /dev/null @@ -1,14 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - sliceTest_hex-443_33bbde55_e293_449d_b4bd_e896feac1a36 <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <[> ") - Log.info("Uploading hex-443") - hex <- h2o.uploadFile(conn, "../../../smalldata/hex-443.parsetmp_1_0_0_0.data", "hex-443.hex") - Log.info("Performing a column slice of hex-443 using these columns: c(\"MiddleInitials\",\"FirstName\")") - slicedHex <- hex[,c("MiddleInitials","FirstName")] - Log.info("Performing a 1-by-1 column slice of hex-443 using these columns: ") - Log.info("Performing a 1-by-1 row slice of hex-443 using these rows: ") - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("sliceTest_ on data hex-443", sliceTest_hex-443_33bbde55_e293_449d_b4bd_e896feac1a36(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/sliceTest_iris_test_missing_fc0df152_20cb_4a21_ac71_4424a241dff0.R b/R/tests/testdir_autoGen/sliceTest_iris_test_missing_fc0df152_20cb_4a21_ac71_4424a241dff0.R deleted file mode 100644 index 12eae0d393..0000000000 --- a/R/tests/testdir_autoGen/sliceTest_iris_test_missing_fc0df152_20cb_4a21_ac71_4424a241dff0.R +++ /dev/null @@ -1,12 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - sliceTest_iris_test_missing_fc0df152_20cb_4a21_ac71_4424a241dff0 <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <[> ") - Log.info("Uploading iris_test_missing") - hex <- h2o.uploadFile(conn, "../../../smalldata/test/classifier/iris_test_missing.csv", "iris_test_missing.hex") - Log.info("Performing a 1-by-1 column slice of iris_test_missing using these columns: ") - Log.info("Performing a 1-by-1 row slice of iris_test_missing using these rows: ") - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("sliceTest_ on data iris_test_missing", sliceTest_iris_test_missing_fc0df152_20cb_4a21_ac71_4424a241dff0(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/sliceTest_iris_train_1dae6e9a_1df8_416c_b667_931171b0bbb8.R b/R/tests/testdir_autoGen/sliceTest_iris_train_1dae6e9a_1df8_416c_b667_931171b0bbb8.R deleted file mode 100644 index 6919a8aafb..0000000000 --- a/R/tests/testdir_autoGen/sliceTest_iris_train_1dae6e9a_1df8_416c_b667_931171b0bbb8.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - sliceTest_iris_train_1dae6e9a_1df8_416c_b667_931171b0bbb8 <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <[> ") - Log.info("Uploading iris_train") - hex <- h2o.uploadFile(conn, "../../../smalldata/test/classifier/iris_train.csv", "iris_train.hex") - Log.info("Performing a column slice of iris_train using these columns: c(\"sepal_wid\",\"petal_len\",\"sepal_len\")") - slicedHex <- hex[,c("sepal_wid","petal_len","sepal_len")] - Log.info("Performing a row slice of iris_train using these rows: c(56,77,54,42,48,43,60,61,62,63,64,49,66,67,68,69,80,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,78,51,39,65,76,75,38,73,72,71,70,59,79,58,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,55,74,32,57,50)") - slicedHex <- hex[c(56,77,54,42,48,43,60,61,62,63,64,49,66,67,68,69,80,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,78,51,39,65,76,75,38,73,72,71,70,59,79,58,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,55,74,32,57,50),] - Log.info("Performing a 1-by-1 column slice of iris_train using these columns: ") - Log.info("Performing a 1-by-1 row slice of iris_train using these rows: ") - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("sliceTest_ on data iris_train", sliceTest_iris_train_1dae6e9a_1df8_416c_b667_931171b0bbb8(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/sliceTest_logreg_trisum_int_cat_10000x10_0f52cd16_5b8d_452b_bb08_e823055a8646.R b/R/tests/testdir_autoGen/sliceTest_logreg_trisum_int_cat_10000x10_0f52cd16_5b8d_452b_bb08_e823055a8646.R deleted file mode 100644 index dd48870a79..0000000000 --- a/R/tests/testdir_autoGen/sliceTest_logreg_trisum_int_cat_10000x10_0f52cd16_5b8d_452b_bb08_e823055a8646.R +++ /dev/null @@ -1,18 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - sliceTest_logreg_trisum_int_cat_10000x10_0f52cd16_5b8d_452b_bb08_e823055a8646 <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <[> ") - Log.info("Uploading logreg_trisum_int_cat_10000x10") - hex <- h2o.uploadFile(conn, "../../../smalldata/logreg/logreg_trisum_int_cat_10000x10.csv", "logreg_trisum_int_cat_10000x10.hex") - Log.info("Performing a column slice of logreg_trisum_int_cat_10000x10 using these columns: c(1,3,2,4)") - slicedHex <- hex[,c(1,3,2,4)] - Log.info("Performing a row slice of logreg_trisum_int_cat_10000x10 using these rows: c(344,346,347,340,341,342,343,348,349,298,299,296,297,294,295,292,293,290,291,199,198,195,194,197,196,191,190,193,192,270,271,272,273,274,275,276,277,278,279,108,109,102,103,100,101,106,107,104,105,39,38,33,32,31,30,37,36,35,34,339,338,335,334,337,336,331,330,333,332,345,6,99,98,91,90,93,92,95,94,97,96,238,239,234,235,236,237,230,231,232,233,1,146,147,144,145,142,143,140,141,148,149,133,132,131,130,137,136,135,134,139,138,24,25,26,27,20,21,22,23,28,29,379,378,371,370,373,372,375,374,377,376,88,89,82,83,80,81,86,87,84,85,7,245,244,247,246,241,240,243,242,249,248,179,178,177,176,175,174,173,172,171,170,253,182,183,180,181,186,187,184,185,188,189,11,10,13,12,15,14,17,16,19,18,62,322,323,320,321,326,327,324,325,328,329,201,200,203,202,205,204,207,206,209,208,77,76,75,74,73,72,71,70,79,78,2,8,68,120,121,122,123,124,125,126,127,128,129,319,318,313,312,311,310,317,316,315,314,3,368,369,366,367,364,365,362,363,360,361,380,381,382,383,384,385,386,60,61,258,259,64,65,66,67,252,69,250,251,256,257,254,255,168,169,164,165,166,167,160,161,162,163,9,357,356,355,354,353,352,351,350,359,358,216,217,214,215,212,213,210,211,218,219,289,288,4,281,280,283,282,285,284,287,286,263,262,261,260,267,266,265,264,269,268,59,58,55,54,57,56,51,50,53,52,63,115,114,117,116,111,110,113,112,119,118,308,309,300,301,302,303,304,305,306,307,229,228,227,226,225,224,223,222,221,220,151,150,153,152,155,154,157,156,159,158,48,49,46,47,44,45,42,43,40,41,5)") - slicedHex <- hex[c(344,346,347,340,341,342,343,348,349,298,299,296,297,294,295,292,293,290,291,199,198,195,194,197,196,191,190,193,192,270,271,272,273,274,275,276,277,278,279,108,109,102,103,100,101,106,107,104,105,39,38,33,32,31,30,37,36,35,34,339,338,335,334,337,336,331,330,333,332,345,6,99,98,91,90,93,92,95,94,97,96,238,239,234,235,236,237,230,231,232,233,1,146,147,144,145,142,143,140,141,148,149,133,132,131,130,137,136,135,134,139,138,24,25,26,27,20,21,22,23,28,29,379,378,371,370,373,372,375,374,377,376,88,89,82,83,80,81,86,87,84,85,7,245,244,247,246,241,240,243,242,249,248,179,178,177,176,175,174,173,172,171,170,253,182,183,180,181,186,187,184,185,188,189,11,10,13,12,15,14,17,16,19,18,62,322,323,320,321,326,327,324,325,328,329,201,200,203,202,205,204,207,206,209,208,77,76,75,74,73,72,71,70,79,78,2,8,68,120,121,122,123,124,125,126,127,128,129,319,318,313,312,311,310,317,316,315,314,3,368,369,366,367,364,365,362,363,360,361,380,381,382,383,384,385,386,60,61,258,259,64,65,66,67,252,69,250,251,256,257,254,255,168,169,164,165,166,167,160,161,162,163,9,357,356,355,354,353,352,351,350,359,358,216,217,214,215,212,213,210,211,218,219,289,288,4,281,280,283,282,285,284,287,286,263,262,261,260,267,266,265,264,269,268,59,58,55,54,57,56,51,50,53,52,63,115,114,117,116,111,110,113,112,119,118,308,309,300,301,302,303,304,305,306,307,229,228,227,226,225,224,223,222,221,220,151,150,153,152,155,154,157,156,159,158,48,49,46,47,44,45,42,43,40,41,5),] - Log.info("Performing a row & column slice of logreg_trisum_int_cat_10000x10 using these rows & columns: c(9,6) & c(216,210,452,218,132,130,498,136,135,90,495,139,497,490,166,24,26,27,21,22,160,29,161,344,345,346,347,340,341,401,343,281,8,283,282,285,284,409,408,336,455,263,121,122,123,124,266,312,128,129,442,268,69,317,60,365,59,58,55,57,51,258,52,414,415,416,411,298,371,297,373,295,292,374,377,376,201,318,198,134,313,194,311,310,191,190,193,314,270,391,89,111,275,113,112,278,83,80,81,93,87,84,204,379,140,206,257,428,179,447,368,369,366,420,423,422,362,424,360,361,309,449,448,443,301,440,304,446,445,307,380,381,108,383,384,386,242,102,101,249,248,104,33,32,37,419,109,290,438,439,436,437,434,432,430,458,6,243,450,334,337,453,454,330,444,457,144,61,62,97,65,66,178,68,176,175,251,256,172,407,162,96,387,106,246,405,145,107,316,180,186,187,185,403,189,196,464,467,466,142,463,462,169,229,280,164,165,225,192,95,94,221,220,11,115,12,15,14,17,16,348,273,287,397,151,150,153,155,395,157,156,158,239,279,235,236,237,399,233,375,496,398,48,49,46,47,42,43,41,321,326,325,328,335,146,200,203,202,205,474,207,141,209,350,148,149,491,231,293,489,488,487,486,485,484,482,357,356,355,354,476,352,351,475,479,67,50)") - slicedHex <- hex[c(216,210,452,218,132,130,498,136,135,90,495,139,497,490,166,24,26,27,21,22,160,29,161,344,345,346,347,340,341,401,343,281,8,283,282,285,284,409,408,336,455,263,121,122,123,124,266,312,128,129,442,268,69,317,60,365,59,58,55,57,51,258,52,414,415,416,411,298,371,297,373,295,292,374,377,376,201,318,198,134,313,194,311,310,191,190,193,314,270,391,89,111,275,113,112,278,83,80,81,93,87,84,204,379,140,206,257,428,179,447,368,369,366,420,423,422,362,424,360,361,309,449,448,443,301,440,304,446,445,307,380,381,108,383,384,386,242,102,101,249,248,104,33,32,37,419,109,290,438,439,436,437,434,432,430,458,6,243,450,334,337,453,454,330,444,457,144,61,62,97,65,66,178,68,176,175,251,256,172,407,162,96,387,106,246,405,145,107,316,180,186,187,185,403,189,196,464,467,466,142,463,462,169,229,280,164,165,225,192,95,94,221,220,11,115,12,15,14,17,16,348,273,287,397,151,150,153,155,395,157,156,158,239,279,235,236,237,399,233,375,496,398,48,49,46,47,42,43,41,321,326,325,328,335,146,200,203,202,205,474,207,141,209,350,148,149,491,231,293,489,488,487,486,485,484,482,357,356,355,354,476,352,351,475,479,67,50),c(9,6)] - Log.info("Performing a 1-by-1 column slice of logreg_trisum_int_cat_10000x10 using these columns: ") - Log.info("Performing a 1-by-1 row slice of logreg_trisum_int_cat_10000x10 using these rows: ") - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("sliceTest_ on data logreg_trisum_int_cat_10000x10", sliceTest_logreg_trisum_int_cat_10000x10_0f52cd16_5b8d_452b_bb08_e823055a8646(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/sliceTest_sin_pattern_1e64973f_c232_40d8_9fbb_0d3b16a9c38c.R b/R/tests/testdir_autoGen/sliceTest_sin_pattern_1e64973f_c232_40d8_9fbb_0d3b16a9c38c.R deleted file mode 100644 index 4fcbf47010..0000000000 --- a/R/tests/testdir_autoGen/sliceTest_sin_pattern_1e64973f_c232_40d8_9fbb_0d3b16a9c38c.R +++ /dev/null @@ -1,14 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - sliceTest_sin_pattern_1e64973f_c232_40d8_9fbb_0d3b16a9c38c <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <[> ") - Log.info("Uploading sin_pattern") - hex <- h2o.uploadFile(conn, "../../../smalldata/neural/sin_pattern.data", "sin_pattern.hex") - Log.info("Performing a column slice of sin_pattern using these columns: c(1)") - slicedHex <- hex[,c(1)] - Log.info("Performing a 1-by-1 column slice of sin_pattern using these columns: ") - Log.info("Performing a 1-by-1 row slice of sin_pattern using these rows: ") - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("sliceTest_ on data sin_pattern", sliceTest_sin_pattern_1e64973f_c232_40d8_9fbb_0d3b16a9c38c(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/sliceTest_syn_2659x1049_c1962fbb_d04f_43bd_a370_3475f049ded0.R b/R/tests/testdir_autoGen/sliceTest_syn_2659x1049_c1962fbb_d04f_43bd_a370_3475f049ded0.R deleted file mode 100644 index b5691a7387..0000000000 --- a/R/tests/testdir_autoGen/sliceTest_syn_2659x1049_c1962fbb_d04f_43bd_a370_3475f049ded0.R +++ /dev/null @@ -1,18 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - sliceTest_syn_2659x1049_c1962fbb_d04f_43bd_a370_3475f049ded0 <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <[> ") - Log.info("Uploading syn_2659x1049") - hex <- h2o.uploadFile(conn, "../../../smalldata/logreg/syn_2659x1049.csv", "syn_2659x1049.hex") - Log.info("Performing a column slice of syn_2659x1049 using these columns: c(1)") - slicedHex <- hex[,c(1)] - Log.info("Performing a row slice of syn_2659x1049 using these rows: c(344,346,347,340,341,342,343,348,349,298,299,296,297,294,295,292,293,290,291,199,198,195,194,197,196,191,190,193,192,270,271,272,273,274,275,276,277,278,279,524,525,526,527,520,521,522,523,528,529,449,448,443,442,441,440,447,446,445,444,108,109,102,103,100,101,106,107,104,105,39,38,33,32,31,30,37,36,35,34,438,439,436,437,434,435,432,433,430,431,339,338,335,334,337,336,331,330,333,332,345,6,99,98,91,90,93,92,95,94,97,96,238,239,234,235,236,237,230,231,232,233,1,146,147,144,145,142,143,140,141,148,149,133,132,131,130,137,136,135,134,494,495,139,138,490,491,492,493,24,25,26,27,20,21,22,23,28,29,407,406,405,404,403,402,401,400,409,408,379,378,371,370,373,372,375,374,377,376,393,392,88,89,397,396,395,394,82,83,80,81,86,87,84,85,7,245,244,247,246,241,240,243,242,249,248,519,518,511,510,513,512,515,514,517,516,458,459,450,451,452,453,454,455,456,457,179,178,177,176,175,174,173,172,171,170,253,182,183,180,181,186,187,184,185,188,189,11,10,13,12,15,14,17,16,19,18,62,322,323,320,321,326,327,324,325,328,329,201,200,203,202,205,204,207,206,209,208,77,76,75,74,73,72,71,70,79,78,2,8,68,120,121,122,123,124,125,126,127,128,129,414,415,416,417,410,411,412,413,498,418,419,499,319,318,313,312,311,310,317,316,315,314,496,497,3,368,369,366,367,364,365,362,363,360,361,380,381,382,383,384,385,386,387,388,389,60,61,258,259,64,65,66,67,252,69,250,251,256,257,254,255,508,509,506,507,504,505,502,503,500,501,469,468,465,464,467,466,461,460,463,462,168,169,164,165,166,167,160,161,162,163,9,357,356,355,354,353,352,351,350,359,358,216,217,214,215,212,213,210,211,218,219,289,288,4,281,280,283,282,285,284,287,286,263,262,261,260,267,266,265,264,269,268,59,58,55,54,57,56,51,50,53,52,63,533,532,531,530,115,114,117,116,111,110,113,112,119,118,429,428,421,420,423,422,425,424,427,426,308,309,300,301,302,303,304,305,306,307,229,228,227,226,225,224,223,222,221,220,391,390,151,150,153,152,155,154,157,156,159,158,399,398,48,49,46,47,44,45,42,43,40,41,5,489,488,487,486,485,484,483,482,481,480,472,473,470,471,476,477,474,475,478,479)") - slicedHex <- hex[c(344,346,347,340,341,342,343,348,349,298,299,296,297,294,295,292,293,290,291,199,198,195,194,197,196,191,190,193,192,270,271,272,273,274,275,276,277,278,279,524,525,526,527,520,521,522,523,528,529,449,448,443,442,441,440,447,446,445,444,108,109,102,103,100,101,106,107,104,105,39,38,33,32,31,30,37,36,35,34,438,439,436,437,434,435,432,433,430,431,339,338,335,334,337,336,331,330,333,332,345,6,99,98,91,90,93,92,95,94,97,96,238,239,234,235,236,237,230,231,232,233,1,146,147,144,145,142,143,140,141,148,149,133,132,131,130,137,136,135,134,494,495,139,138,490,491,492,493,24,25,26,27,20,21,22,23,28,29,407,406,405,404,403,402,401,400,409,408,379,378,371,370,373,372,375,374,377,376,393,392,88,89,397,396,395,394,82,83,80,81,86,87,84,85,7,245,244,247,246,241,240,243,242,249,248,519,518,511,510,513,512,515,514,517,516,458,459,450,451,452,453,454,455,456,457,179,178,177,176,175,174,173,172,171,170,253,182,183,180,181,186,187,184,185,188,189,11,10,13,12,15,14,17,16,19,18,62,322,323,320,321,326,327,324,325,328,329,201,200,203,202,205,204,207,206,209,208,77,76,75,74,73,72,71,70,79,78,2,8,68,120,121,122,123,124,125,126,127,128,129,414,415,416,417,410,411,412,413,498,418,419,499,319,318,313,312,311,310,317,316,315,314,496,497,3,368,369,366,367,364,365,362,363,360,361,380,381,382,383,384,385,386,387,388,389,60,61,258,259,64,65,66,67,252,69,250,251,256,257,254,255,508,509,506,507,504,505,502,503,500,501,469,468,465,464,467,466,461,460,463,462,168,169,164,165,166,167,160,161,162,163,9,357,356,355,354,353,352,351,350,359,358,216,217,214,215,212,213,210,211,218,219,289,288,4,281,280,283,282,285,284,287,286,263,262,261,260,267,266,265,264,269,268,59,58,55,54,57,56,51,50,53,52,63,533,532,531,530,115,114,117,116,111,110,113,112,119,118,429,428,421,420,423,422,425,424,427,426,308,309,300,301,302,303,304,305,306,307,229,228,227,226,225,224,223,222,221,220,391,390,151,150,153,152,155,154,157,156,159,158,399,398,48,49,46,47,44,45,42,43,40,41,5,489,488,487,486,485,484,483,482,481,480,472,473,470,471,476,477,474,475,478,479),] - Log.info("Performing a row & column slice of syn_2659x1049 using these rows & columns: c(290) & c(1525,1945,346,341,814,817,719,1792,713,1494,1265,1700,1068,2179,1707,1061,2317,2314,296,1666,1665,426,1087,1082,1081,599,194,1124,193,272,273,275,2543,2541,2545,2380,527,1014,2263,2260,528,1405,1013,440,1238,106,2047,1849,2045,1843,1842,30,1844,1521,1534,1245,1532,647,439,2164,2616,2615,2613,335,334,1906,1903,1901,851,1528,98,94,1991,1993,1997,1431,559,558,747,1199,2340,2343,1057,1197,1196,1695,1693,1690,1756,1754,1698,170,1176,1175,1119,1173,1270,611,1287,2089,2125,2126,2083,2080,943,941,1470,1573,1571,681,1575,1574,1302,2651,2655,2654,133,495,24,26,22,1835,29,2155,405,404,403,402,1377,930,2158,2010,935,1954,1953,2319,379,370,372,911,89,1486,81,2309,1716,2300,2304,2307,1652,1651,1657,2288,2289,1138,2283,975,589,247,248,1436,2063,2271,1430,2272,2577,511,510,513,625,451,2450,1876,1875,175,1879,2051,2053,2055,181,186,598,1506,1509,2117,2629,2123,2157,1911,1910,1913,1912,1915,1917,1113,869,868,14,865,864,2024,2029,1968,1579,1963,324,325,200,202,204,773,208,71,2239,65,2230,1049,1048,2234,2237,1681,1685,1689,1766,216,1146,1144,1262,768,661,1264,2094,2096,2090,693,2527,696,2489,1548,540,546,1468,544,1465,2246,1315,993,1310,999,128,1827,1022,928,417,2143,2417,413,1385,1386,1404,2066,2148,318,312,311,831,834,838,839,362,360,1336,384,388,389,1645,785,783,1726,1723,2512,2296,574,2191,2192,2194,2195,69,251,256,2568,2203,2204,2205,2206,1426,2561,1581,1584,2566,2405,737,1032,2428,2429,632,1211,1216,1644,1352,1351,2423,1356,1860,1863,2416,163,965,960,1729,1454,2108,1453,1515,2100,1459,1513,1840,1815,878,879,877,1818,2038,892,2130,1600,1606,356,1788,214,211,1781,767,1786,1611,1076,1075,1072,1445,289,282,1159,674,1151,673,262,1550,2558,2496,537,1419,2501,2391,1412,2251,538,2477,1323,1325,981,987,985,119,536,1524,2173,1254,2171,2176,1253,1250,1398,915,916,425,1392,2074,309,2603,824,840,2208,1987,1982,1980,1730,1733,1732,753,562,758,567,1595,2182,2186,1593,1592,2189,2188,223,1024,1027,2216,2215,1189,1187,2219,1182,2358,722,2350,604,1167,1163,2433,1207,1201,2584,1893,48,473,46,950,43,41,1568,1298,2507,1291,2422,1449,2648,1713,2640,2005,2646,460,481,1806,2003,1361,1369)") - slicedHex <- hex[c(1525,1945,346,341,814,817,719,1792,713,1494,1265,1700,1068,2179,1707,1061,2317,2314,296,1666,1665,426,1087,1082,1081,599,194,1124,193,272,273,275,2543,2541,2545,2380,527,1014,2263,2260,528,1405,1013,440,1238,106,2047,1849,2045,1843,1842,30,1844,1521,1534,1245,1532,647,439,2164,2616,2615,2613,335,334,1906,1903,1901,851,1528,98,94,1991,1993,1997,1431,559,558,747,1199,2340,2343,1057,1197,1196,1695,1693,1690,1756,1754,1698,170,1176,1175,1119,1173,1270,611,1287,2089,2125,2126,2083,2080,943,941,1470,1573,1571,681,1575,1574,1302,2651,2655,2654,133,495,24,26,22,1835,29,2155,405,404,403,402,1377,930,2158,2010,935,1954,1953,2319,379,370,372,911,89,1486,81,2309,1716,2300,2304,2307,1652,1651,1657,2288,2289,1138,2283,975,589,247,248,1436,2063,2271,1430,2272,2577,511,510,513,625,451,2450,1876,1875,175,1879,2051,2053,2055,181,186,598,1506,1509,2117,2629,2123,2157,1911,1910,1913,1912,1915,1917,1113,869,868,14,865,864,2024,2029,1968,1579,1963,324,325,200,202,204,773,208,71,2239,65,2230,1049,1048,2234,2237,1681,1685,1689,1766,216,1146,1144,1262,768,661,1264,2094,2096,2090,693,2527,696,2489,1548,540,546,1468,544,1465,2246,1315,993,1310,999,128,1827,1022,928,417,2143,2417,413,1385,1386,1404,2066,2148,318,312,311,831,834,838,839,362,360,1336,384,388,389,1645,785,783,1726,1723,2512,2296,574,2191,2192,2194,2195,69,251,256,2568,2203,2204,2205,2206,1426,2561,1581,1584,2566,2405,737,1032,2428,2429,632,1211,1216,1644,1352,1351,2423,1356,1860,1863,2416,163,965,960,1729,1454,2108,1453,1515,2100,1459,1513,1840,1815,878,879,877,1818,2038,892,2130,1600,1606,356,1788,214,211,1781,767,1786,1611,1076,1075,1072,1445,289,282,1159,674,1151,673,262,1550,2558,2496,537,1419,2501,2391,1412,2251,538,2477,1323,1325,981,987,985,119,536,1524,2173,1254,2171,2176,1253,1250,1398,915,916,425,1392,2074,309,2603,824,840,2208,1987,1982,1980,1730,1733,1732,753,562,758,567,1595,2182,2186,1593,1592,2189,2188,223,1024,1027,2216,2215,1189,1187,2219,1182,2358,722,2350,604,1167,1163,2433,1207,1201,2584,1893,48,473,46,950,43,41,1568,1298,2507,1291,2422,1449,2648,1713,2640,2005,2646,460,481,1806,2003,1361,1369),c(290)] - Log.info("Performing a 1-by-1 column slice of syn_2659x1049 using these columns: ") - Log.info("Performing a 1-by-1 row slice of syn_2659x1049 using these rows: ") - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("sliceTest_ on data syn_2659x1049", sliceTest_syn_2659x1049_c1962fbb_d04f_43bd_a370_3475f049ded0(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/sliceTest_syn_2659x1049x2enum_10879e42_48b3_4622_bd57_f73ed4d94228.R b/R/tests/testdir_autoGen/sliceTest_syn_2659x1049x2enum_10879e42_48b3_4622_bd57_f73ed4d94228.R deleted file mode 100644 index 220b587bf7..0000000000 --- a/R/tests/testdir_autoGen/sliceTest_syn_2659x1049x2enum_10879e42_48b3_4622_bd57_f73ed4d94228.R +++ /dev/null @@ -1,14 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - sliceTest_syn_2659x1049x2enum_10879e42_48b3_4622_bd57_f73ed4d94228 <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <[> ") - Log.info("Uploading syn_2659x1049x2enum") - hex <- h2o.uploadFile(conn, "../../../smalldata/logreg/syn_2659x1049x2enum.csv", "syn_2659x1049x2enum.hex") - Log.info("Performing a row & column slice of syn_2659x1049x2enum using these rows & columns: c(23,954,218,825,530,511) & c(1038,1269,2304,1868,1942,1943,2079,818,347,340,814,816,1799,716,1251,712,710,2123,1492,1493,1494,1265,1496,1498,660,1626,1702,1703,1567,2319,1709,2315,2312,2313,1668,148,1663,290,291,1087,1129,592,595,594,1081,1120,1124,190,1126,1088,271,272,274,279,738,2543,2541,1402,1194,2544,2098,1409,2382,1018,1019,2387,2386,1015,1016,528,529,1013,2442,2443,2440,2447,2444,2608,441,1336,1331,1330,2103,691,1370,1432,102,103,1134,107,2046,2047,1849,2045,904,2041,1843,1171,31,36,2426,1459,1537,2486,643,1533,1244,647,439,437,2166,2161,2163,1783,2615,339,2611,1213,2618,1372,1905,854,857,850,851,2127,6,2248,39,99,98,2276,90,92,94,96,1353,1990,1994,2469,1999,1628,2577,740,742,743,745,747,555,1519,556,551,550,2467,238,239,236,1439,231,232,2346,993,2228,518,2226,1193,1192,2348,2220,1455,1,1757,1753,1752,1751,1699,1176,1174,142,140,141,1270,2468,610,1273,1179,1277,1430,1053,1887,2596,1880,2121,1284,2088,2122,1281,1280,1283,1282,2082,2083,2080,2081,1289,940,941,1472,1473,1470,1578,689,1477,1573,1572,2530,686,1577,2224,2534,1574,1304,1305,2225,1300,622,2651,1225,2655,2654,1355,135,495,139,2591,1832,1696,27,21,22,927,1371,406,939,404,2150,2403,1377,2153,2015,2014,931,2016,2409,1955,1951,1958,2193,378,1750,1060,825,370,372,821,934,708,709,147,704,705,700,702,703,390,397,394,83,81,87,2521,414,1711,794,1717,1716,1715,1714,2303,2302,2305,2413,798,1659,2487,1652,1657,2288,2289,611,2141,2281,2282,2283,1137,1984,588,589,2410,247,780,240,615,2274,2063,2271,1433,2273,2579,2576,292,2574,2056,639,925,2048,2378,1661,1009,873,2376,2148,514,1001,2594,1226,621,1732,2459,1222,2592,450,1342,2456,2451,1345,2453,1877,1875,1083,175,172,171,198,977,517,2053,973,2054,2057,183,2059,2058,979,1503,654,655,1507,651,2113,187,2622,2623,2620,2621,2627,2624,2629,1287,1125,1919,2089,2125,1127,1914,1113,869,12,15,14,16,863,862,866,1011,2023,2029,1365,881,569,928,2151,2578,2085,1968,1969,1376,1619,599,1961,1963,1471,326,327,759,775,774,777,776,205,208,779,74,72,71,70,944,1571,79,2,65,2335,2337,2231,2230,1132,2232,2235,1681,1596,359,1687,1763,1760,358,768,1142,1140,1268,1146,1147,669,1527,667,664,663,662,661,1264,2094,1221,769,2090,571,200,2525,2524,1544,1545,696,697,1404,1599,2484,2485,526,2480,2481,540,2269,546,2249,544,545,2245,1467,549,1461,1782,1463,1317,1025,1315,996,991,1311,999,998,121,2263,2391,129,2399,1047,1188,1824,1826,1823,1406,2068,415,2145,1388,411,412,413,1384,1385,1386,1387,419,2066,1383,319,313,312,317,316,315,1183,1925,1927,1929,2438,832,830,837,835,838,203,1255,367,1337,361,1741,1777,1239,382,386,388,389,2350,1645,787,1641,1640,1643,1642,903,788,1723,1721,109,728,1223,1743,2298,2293,2291,570,2297,2296,2190,152,2195,2198,251,2569,2406,2203,1425,2205,2206,2155,2209,2563,1163,1586,2564,2566,731,730,733,732,1204,403,504,2364,1036,1207,500,1035,2587,631,1393,634,636,1215,465,464,467,1350,460,463,2588,901,169,164,165,166,167,161,163,967,961,1170,963,783,968,1454,1107,1456,2108,1450,1518,1453,1515,1517,408,1841,1108,1512,2634,2636,1846,947,1845,2223,1817,1813,874,1535,2034,2031,2030,9,1532,891,894,1531,899,1246,1099,435,1977,432,1603,1602,1604,357,354,802,801,807,805,804,214,45,210,1780,1102,760,761,1785,957,2613,1447,2321,2320,1084,1078,1569,1076,1077,1074,1075,1778,1070,1299,1678,281,280,1677,285,284,1096,1091,1093,1155,675,1150,1153,673,263,653,261,1552,333,59,269,332,1290,2550,1550,1553,2553,2554,1554,2557,55,2559,57,2492,2495,2494,52,537,536,2394,2395,2392,2390,530,1410,2256,1295,2251,2250,2477,1320,56,2473,1327,2470,982,983,1328,1329,987,984,985,115,114,1790,110,119,1975,1419,1852,535,1857,2428,2170,534,918,1399,1398,421,2072,423,916,425,2040,426,309,2606,2643,2603,2258,304,2609,2645,371,1937,1936,1935,1938,847,826,842,848,2398,1583,1417,1580,2077,488,2475,1587,2407,1585,2268,554,1632,1982,1635,1980,1638,1730,2590,1735,1734,568,752,981,757,560,562,758,1594,2180,1591,1593,228,227,226,2478,223,1030,221,2213,1457,2211,2210,2215,1022,1186,2363,1182,1028,1180,2358,723,720,2339,1746,1747,1167,2357,2354,729,605,630,607,606,601,1162,602,158,2431,2430,2437,2436,2435,1896,1890,1891,1893,959,2134,2135,48,950,953,952,955,2138,41,1111,1110,1445,2368,1443,2509,1440,1119,1561,2505,2504,1173,2500,2649,1360,1712,2640,475,795,2646,2589,1441,487,486,485,484,483,480,1761,1803,1802,1800,1382,1809,1808,2000,1862,626,2004,1361,478,479,1369)") - slicedHex <- hex[c(1038,1269,2304,1868,1942,1943,2079,818,347,340,814,816,1799,716,1251,712,710,2123,1492,1493,1494,1265,1496,1498,660,1626,1702,1703,1567,2319,1709,2315,2312,2313,1668,148,1663,290,291,1087,1129,592,595,594,1081,1120,1124,190,1126,1088,271,272,274,279,738,2543,2541,1402,1194,2544,2098,1409,2382,1018,1019,2387,2386,1015,1016,528,529,1013,2442,2443,2440,2447,2444,2608,441,1336,1331,1330,2103,691,1370,1432,102,103,1134,107,2046,2047,1849,2045,904,2041,1843,1171,31,36,2426,1459,1537,2486,643,1533,1244,647,439,437,2166,2161,2163,1783,2615,339,2611,1213,2618,1372,1905,854,857,850,851,2127,6,2248,39,99,98,2276,90,92,94,96,1353,1990,1994,2469,1999,1628,2577,740,742,743,745,747,555,1519,556,551,550,2467,238,239,236,1439,231,232,2346,993,2228,518,2226,1193,1192,2348,2220,1455,1,1757,1753,1752,1751,1699,1176,1174,142,140,141,1270,2468,610,1273,1179,1277,1430,1053,1887,2596,1880,2121,1284,2088,2122,1281,1280,1283,1282,2082,2083,2080,2081,1289,940,941,1472,1473,1470,1578,689,1477,1573,1572,2530,686,1577,2224,2534,1574,1304,1305,2225,1300,622,2651,1225,2655,2654,1355,135,495,139,2591,1832,1696,27,21,22,927,1371,406,939,404,2150,2403,1377,2153,2015,2014,931,2016,2409,1955,1951,1958,2193,378,1750,1060,825,370,372,821,934,708,709,147,704,705,700,702,703,390,397,394,83,81,87,2521,414,1711,794,1717,1716,1715,1714,2303,2302,2305,2413,798,1659,2487,1652,1657,2288,2289,611,2141,2281,2282,2283,1137,1984,588,589,2410,247,780,240,615,2274,2063,2271,1433,2273,2579,2576,292,2574,2056,639,925,2048,2378,1661,1009,873,2376,2148,514,1001,2594,1226,621,1732,2459,1222,2592,450,1342,2456,2451,1345,2453,1877,1875,1083,175,172,171,198,977,517,2053,973,2054,2057,183,2059,2058,979,1503,654,655,1507,651,2113,187,2622,2623,2620,2621,2627,2624,2629,1287,1125,1919,2089,2125,1127,1914,1113,869,12,15,14,16,863,862,866,1011,2023,2029,1365,881,569,928,2151,2578,2085,1968,1969,1376,1619,599,1961,1963,1471,326,327,759,775,774,777,776,205,208,779,74,72,71,70,944,1571,79,2,65,2335,2337,2231,2230,1132,2232,2235,1681,1596,359,1687,1763,1760,358,768,1142,1140,1268,1146,1147,669,1527,667,664,663,662,661,1264,2094,1221,769,2090,571,200,2525,2524,1544,1545,696,697,1404,1599,2484,2485,526,2480,2481,540,2269,546,2249,544,545,2245,1467,549,1461,1782,1463,1317,1025,1315,996,991,1311,999,998,121,2263,2391,129,2399,1047,1188,1824,1826,1823,1406,2068,415,2145,1388,411,412,413,1384,1385,1386,1387,419,2066,1383,319,313,312,317,316,315,1183,1925,1927,1929,2438,832,830,837,835,838,203,1255,367,1337,361,1741,1777,1239,382,386,388,389,2350,1645,787,1641,1640,1643,1642,903,788,1723,1721,109,728,1223,1743,2298,2293,2291,570,2297,2296,2190,152,2195,2198,251,2569,2406,2203,1425,2205,2206,2155,2209,2563,1163,1586,2564,2566,731,730,733,732,1204,403,504,2364,1036,1207,500,1035,2587,631,1393,634,636,1215,465,464,467,1350,460,463,2588,901,169,164,165,166,167,161,163,967,961,1170,963,783,968,1454,1107,1456,2108,1450,1518,1453,1515,1517,408,1841,1108,1512,2634,2636,1846,947,1845,2223,1817,1813,874,1535,2034,2031,2030,9,1532,891,894,1531,899,1246,1099,435,1977,432,1603,1602,1604,357,354,802,801,807,805,804,214,45,210,1780,1102,760,761,1785,957,2613,1447,2321,2320,1084,1078,1569,1076,1077,1074,1075,1778,1070,1299,1678,281,280,1677,285,284,1096,1091,1093,1155,675,1150,1153,673,263,653,261,1552,333,59,269,332,1290,2550,1550,1553,2553,2554,1554,2557,55,2559,57,2492,2495,2494,52,537,536,2394,2395,2392,2390,530,1410,2256,1295,2251,2250,2477,1320,56,2473,1327,2470,982,983,1328,1329,987,984,985,115,114,1790,110,119,1975,1419,1852,535,1857,2428,2170,534,918,1399,1398,421,2072,423,916,425,2040,426,309,2606,2643,2603,2258,304,2609,2645,371,1937,1936,1935,1938,847,826,842,848,2398,1583,1417,1580,2077,488,2475,1587,2407,1585,2268,554,1632,1982,1635,1980,1638,1730,2590,1735,1734,568,752,981,757,560,562,758,1594,2180,1591,1593,228,227,226,2478,223,1030,221,2213,1457,2211,2210,2215,1022,1186,2363,1182,1028,1180,2358,723,720,2339,1746,1747,1167,2357,2354,729,605,630,607,606,601,1162,602,158,2431,2430,2437,2436,2435,1896,1890,1891,1893,959,2134,2135,48,950,953,952,955,2138,41,1111,1110,1445,2368,1443,2509,1440,1119,1561,2505,2504,1173,2500,2649,1360,1712,2640,475,795,2646,2589,1441,487,486,485,484,483,480,1761,1803,1802,1800,1382,1809,1808,2000,1862,626,2004,1361,478,479,1369),c(23,954,218,825,530,511)] - Log.info("Performing a 1-by-1 column slice of syn_2659x1049x2enum using these columns: ") - Log.info("Performing a 1-by-1 row slice of syn_2659x1049x2enum using these rows: ") - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("sliceTest_ on data syn_2659x1049x2enum", sliceTest_syn_2659x1049x2enum_10879e42_48b3_4622_bd57_f73ed4d94228(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/sliceTest_test_26cols_single_space_sep_2_ac590434_c70e_4b9a_b3fd_9dbd7285c252.R b/R/tests/testdir_autoGen/sliceTest_test_26cols_single_space_sep_2_ac590434_c70e_4b9a_b3fd_9dbd7285c252.R deleted file mode 100644 index ecfae35860..0000000000 --- a/R/tests/testdir_autoGen/sliceTest_test_26cols_single_space_sep_2_ac590434_c70e_4b9a_b3fd_9dbd7285c252.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - sliceTest_test_26cols_single_space_sep_2_ac590434_c70e_4b9a_b3fd_9dbd7285c252 <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <[> ") - Log.info("Uploading test_26cols_single_space_sep_2") - hex <- h2o.uploadFile(conn, "../../../smalldata/test/test_26cols_single_space_sep_2.csv", "test_26cols_single_space_sep_2.hex") - Log.info("Performing a column slice of test_26cols_single_space_sep_2 using these columns: c(\"A\",\"B\")") - slicedHex <- hex[,c("A","B")] - Log.info("Performing a row & column slice of test_26cols_single_space_sep_2 using these rows & columns: c(\"K\",\"H\",\"T\",\"U\",\"N\",\"O\",\"Y\") & c(1)") - slicedHex <- hex[c(1),c("K","H","T","U","N","O","Y")] - Log.info("Performing a 1-by-1 column slice of test_26cols_single_space_sep_2 using these columns: ") - Log.info("Performing a 1-by-1 row slice of test_26cols_single_space_sep_2 using these rows: ") - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("sliceTest_ on data test_26cols_single_space_sep_2", sliceTest_test_26cols_single_space_sep_2_ac590434_c70e_4b9a_b3fd_9dbd7285c252(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/sliceTest_test_691aca00_7c57_430e_b67b_894834bf821f.R b/R/tests/testdir_autoGen/sliceTest_test_691aca00_7c57_430e_b67b_894834bf821f.R deleted file mode 100644 index 08d86faecf..0000000000 --- a/R/tests/testdir_autoGen/sliceTest_test_691aca00_7c57_430e_b67b_894834bf821f.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - sliceTest_test_691aca00_7c57_430e_b67b_894834bf821f <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <[> ") - Log.info("Uploading test") - hex <- h2o.uploadFile(conn, "../../../smalldata/chess/chess_2x2x10/weka/test.csv.arff", "test.hex") - Log.info("Performing a row slice of test using these rows: c(1,3,2,5,4,7,6,8)") - slicedHex <- hex[c(1,3,2,5,4,7,6,8),] - Log.info("Performing a row & column slice of test using these rows & columns: c(1) & c(1)") - slicedHex <- hex[c(1),c(1)] - Log.info("Performing a 1-by-1 column slice of test using these columns: ") - Log.info("Performing a 1-by-1 row slice of test using these rows: ") - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("sliceTest_ on data test", sliceTest_test_691aca00_7c57_430e_b67b_894834bf821f(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/sliceTest_test_78053a03_a8d0_4238_bc05_4d5d871cb2c6.R b/R/tests/testdir_autoGen/sliceTest_test_78053a03_a8d0_4238_bc05_4d5d871cb2c6.R deleted file mode 100644 index 64505a549d..0000000000 --- a/R/tests/testdir_autoGen/sliceTest_test_78053a03_a8d0_4238_bc05_4d5d871cb2c6.R +++ /dev/null @@ -1,18 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - sliceTest_test_78053a03_a8d0_4238_bc05_4d5d871cb2c6 <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <[> ") - Log.info("Uploading test") - hex <- h2o.uploadFile(conn, "../../../smalldata/chess/chess_2x2x100/R/test.csv", "test.hex") - Log.info("Performing a column slice of test using these columns: c(1)") - slicedHex <- hex[,c(1)] - Log.info("Performing a row slice of test using these rows: c(56,54,42,48,43,60,61,62,63,64,49,66,67,68,69,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,65,75,38,73,72,71,70,59,58,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,55,74,32,57,50)") - slicedHex <- hex[c(56,54,42,48,43,60,61,62,63,64,49,66,67,68,69,52,53,24,25,26,27,20,21,22,23,46,47,44,45,28,29,40,41,1,3,2,5,4,7,6,9,8,51,39,65,75,38,73,72,71,70,59,58,11,10,13,12,15,14,17,16,19,18,31,30,37,36,35,34,33,55,74,32,57,50),] - Log.info("Performing a row & column slice of test using these rows & columns: c(1) & c(24,39,89,17,52,133,74,124,127,82,103,69,104,96)") - slicedHex <- hex[c(24,39,89,17,52,133,74,124,127,82,103,69,104,96),c(1)] - Log.info("Performing a 1-by-1 column slice of test using these columns: ") - Log.info("Performing a 1-by-1 row slice of test using these rows: ") - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("sliceTest_ on data test", sliceTest_test_78053a03_a8d0_4238_bc05_4d5d871cb2c6(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/sliceTest_test_90ff6342_f343_4f9f_a970_b4f6628ffe18.R b/R/tests/testdir_autoGen/sliceTest_test_90ff6342_f343_4f9f_a970_b4f6628ffe18.R deleted file mode 100644 index b20e87bb1f..0000000000 --- a/R/tests/testdir_autoGen/sliceTest_test_90ff6342_f343_4f9f_a970_b4f6628ffe18.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - sliceTest_test_90ff6342_f343_4f9f_a970_b4f6628ffe18 <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <[> ") - Log.info("Uploading test") - hex <- h2o.uploadFile(conn, "../../../smalldata/chess/chess_2x1x1000/h2o/test.csv", "test.hex") - Log.info("Performing a column slice of test using these columns: c(\"x\")") - slicedHex <- hex[,c("x")] - Log.info("Performing a row & column slice of test using these rows & columns: c(\"color\") & c(199,345,346,347,342,343,348,349,298,297,295,293,591,593,592,595,594,596,195,598,197,191,193,270,273,194,526,527,520,521,523,529,443,440,447,444,108,109,102,100,39,38,33,31,37,641,642,644,438,439,436,437,432,433,334,330,332,99,98,91,93,92,95,94,96,558,555,554,557,556,551,550,552,238,235,236,237,230,1,155,147,144,141,612,613,610,611,617,148,154,135,134,494,496,138,490,491,493,25,27,20,28,29,406,404,402,401,408,379,373,372,375,374,377,392,88,397,396,395,394,82,80,87,85,7,586,585,582,583,580,589,245,244,247,246,242,249,519,518,511,513,517,516,459,620,624,451,629,628,455,457,178,177,176,175,174,656,183,654,182,599,180,186,653,650,185,189,187,11,13,12,14,18,62,278,323,321,327,201,203,205,207,206,209,208,77,76,75,74,73,71,70,666,665,664,661,543,541,544,545,8,548,120,123,124,126,127,128,129,415,417,410,411,412,418,319,318,312,310,315,139,3,369,365,363,360,380,381,382,383,384,385,386,388,579,578,573,571,570,60,61,258,152,64,67,68,69,250,256,255,508,509,506,507,504,502,501,630,631,633,469,635,637,465,639,467,460,463,462,169,164,166,167,160,161,163,9,649,357,356,352,351,359,216,217,214,215,212,213,211,218,219,289,4,281,280,283,282,284,286,263,261,268,58,54,51,50,52,537,536,535,533,530,539,115,252,117,116,111,113,119,429,421,420,422,427,426,300,302,303,304,306,307,569,560,561,562,563,564,565,227,226,224,223,221,220,151,604,607,606,601,600,603,602,158,609,49,46,44,45,40,464,489,487,486,485,484,482,481,472,473,471,476,477,475,479)") - slicedHex <- hex[c(199,345,346,347,342,343,348,349,298,297,295,293,591,593,592,595,594,596,195,598,197,191,193,270,273,194,526,527,520,521,523,529,443,440,447,444,108,109,102,100,39,38,33,31,37,641,642,644,438,439,436,437,432,433,334,330,332,99,98,91,93,92,95,94,96,558,555,554,557,556,551,550,552,238,235,236,237,230,1,155,147,144,141,612,613,610,611,617,148,154,135,134,494,496,138,490,491,493,25,27,20,28,29,406,404,402,401,408,379,373,372,375,374,377,392,88,397,396,395,394,82,80,87,85,7,586,585,582,583,580,589,245,244,247,246,242,249,519,518,511,513,517,516,459,620,624,451,629,628,455,457,178,177,176,175,174,656,183,654,182,599,180,186,653,650,185,189,187,11,13,12,14,18,62,278,323,321,327,201,203,205,207,206,209,208,77,76,75,74,73,71,70,666,665,664,661,543,541,544,545,8,548,120,123,124,126,127,128,129,415,417,410,411,412,418,319,318,312,310,315,139,3,369,365,363,360,380,381,382,383,384,385,386,388,579,578,573,571,570,60,61,258,152,64,67,68,69,250,256,255,508,509,506,507,504,502,501,630,631,633,469,635,637,465,639,467,460,463,462,169,164,166,167,160,161,163,9,649,357,356,352,351,359,216,217,214,215,212,213,211,218,219,289,4,281,280,283,282,284,286,263,261,268,58,54,51,50,52,537,536,535,533,530,539,115,252,117,116,111,113,119,429,421,420,422,427,426,300,302,303,304,306,307,569,560,561,562,563,564,565,227,226,224,223,221,220,151,604,607,606,601,600,603,602,158,609,49,46,44,45,40,464,489,487,486,485,484,482,481,472,473,471,476,477,475,479),c("color")] - Log.info("Performing a 1-by-1 column slice of test using these columns: ") - Log.info("Performing a 1-by-1 row slice of test using these rows: ") - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("sliceTest_ on data test", sliceTest_test_90ff6342_f343_4f9f_a970_b4f6628ffe18(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/sliceTest_tnc6_bd773876_b974_45a6_b0d7_a58b6369b0ce.R b/R/tests/testdir_autoGen/sliceTest_tnc6_bd773876_b974_45a6_b0d7_a58b6369b0ce.R deleted file mode 100644 index bef34d8358..0000000000 --- a/R/tests/testdir_autoGen/sliceTest_tnc6_bd773876_b974_45a6_b0d7_a58b6369b0ce.R +++ /dev/null @@ -1,16 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - sliceTest_tnc6_bd773876_b974_45a6_b0d7_a58b6369b0ce <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <[> ") - Log.info("Uploading tnc6") - hex <- h2o.uploadFile(conn, "../../../smalldata/tnc6.csv", "tnc6.hex") - Log.info("Performing a column slice of tnc6 using these columns: c(\"ticket\",\"boat\",\"cabin\",\"fare\",\"embarked\")") - slicedHex <- hex[,c("ticket","boat","cabin","fare","embarked")] - Log.info("Performing a row slice of tnc6 using these rows: c(133,132,131,130,137,136,135,134,139,138,24,25,26,27,20,21,22,23,28,29,4,8,119,120,121,122,123,124,125,126,127,128,129,118,59,58,55,54,57,56,51,50,53,52,115,114,88,89,111,110,113,112,82,83,80,81,86,87,84,85,3,7,108,109,102,103,100,101,106,107,104,105,39,38,33,32,31,30,37,36,35,34,60,61,62,63,64,65,66,67,68,69,2,6,99,98,91,90,93,92,95,94,97,96,11,10,13,12,15,14,17,16,19,18,117,116,48,49,46,47,44,45,42,43,40,41,1,5,9,140,141,77,76,75,74,73,72,71,70,79,78)") - slicedHex <- hex[c(133,132,131,130,137,136,135,134,139,138,24,25,26,27,20,21,22,23,28,29,4,8,119,120,121,122,123,124,125,126,127,128,129,118,59,58,55,54,57,56,51,50,53,52,115,114,88,89,111,110,113,112,82,83,80,81,86,87,84,85,3,7,108,109,102,103,100,101,106,107,104,105,39,38,33,32,31,30,37,36,35,34,60,61,62,63,64,65,66,67,68,69,2,6,99,98,91,90,93,92,95,94,97,96,11,10,13,12,15,14,17,16,19,18,117,116,48,49,46,47,44,45,42,43,40,41,1,5,9,140,141,77,76,75,74,73,72,71,70,79,78),] - Log.info("Performing a 1-by-1 column slice of tnc6 using these columns: ") - Log.info("Performing a 1-by-1 row slice of tnc6 using these rows: ") - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("sliceTest_ on data tnc6", sliceTest_tnc6_bd773876_b974_45a6_b0d7_a58b6369b0ce(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/sliceTest_train_7113e248_c3f2_4b1d_b259_0c272fcb0ce6.R b/R/tests/testdir_autoGen/sliceTest_train_7113e248_c3f2_4b1d_b259_0c272fcb0ce6.R deleted file mode 100644 index 7c2ddf5fcf..0000000000 --- a/R/tests/testdir_autoGen/sliceTest_train_7113e248_c3f2_4b1d_b259_0c272fcb0ce6.R +++ /dev/null @@ -1,14 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - sliceTest_train_7113e248_c3f2_4b1d_b259_0c272fcb0ce6 <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <[> ") - Log.info("Uploading train") - hex <- h2o.uploadFile(conn, "../../../smalldata/chess/chess_2x2x500/R/train.csv", "train.hex") - Log.info("Performing a column slice of train using these columns: c(\"x\")") - slicedHex <- hex[,c("x")] - Log.info("Performing a 1-by-1 column slice of train using these columns: ") - Log.info("Performing a 1-by-1 row slice of train using these rows: ") - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("sliceTest_ on data train", sliceTest_train_7113e248_c3f2_4b1d_b259_0c272fcb0ce6(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/sliceTest_train_a69d7d95_39b2_4925_8923_3bdb55663b54.R b/R/tests/testdir_autoGen/sliceTest_train_a69d7d95_39b2_4925_8923_3bdb55663b54.R deleted file mode 100644 index 5bb50348b6..0000000000 --- a/R/tests/testdir_autoGen/sliceTest_train_a69d7d95_39b2_4925_8923_3bdb55663b54.R +++ /dev/null @@ -1,14 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - sliceTest_train_a69d7d95_39b2_4925_8923_3bdb55663b54 <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <[> ") - Log.info("Uploading train") - hex <- h2o.uploadFile(conn, "../../../smalldata/chess/chess_1x2x1000/h2o/train.csv", "train.hex") - Log.info("Performing a row & column slice of train using these rows & columns: c(\"x\",\"color\") & c(1200,507,428,818,819,346,341,342,666,810,813,348,815,918,719,718,717,716,715,421,1068,916,1061,1063,1062,1064,1066,913,298,296,294,293,290,590,1085,199,594,1081,1080,599,598,197,1123,191,1126,192,270,271,273,275,277,278,525,214,1019,523,1014,1015,528,1011,1013,1235,1236,1237,1232,441,1331,446,1332,108,109,100,106,107,900,38,905,32,31,30,37,35,1243,642,644,438,646,649,437,434,432,433,430,339,335,334,336,331,332,857,850,851,156,853,858,859,6,43,99,98,90,92,95,94,349,742,559,748,554,551,996,238,237,232,233,1199,1051,1052,1055,1057,1191,992,1194,1197,1196,155,146,1176,145,1173,143,140,1170,612,1271,616,1275,614,149,154,1005,1285,194,512,1281,1280,1283,1282,515,1289,1288,1001,685,684,680,1306,1307,1300,622,1308,132,131,498,136,135,494,497,490,492,20,625,406,405,938,402,401,400,930,937,935,934,379,828,370,827,372,822,709,1279,704,706,700,701,702,393,397,1263,394,82,83,80,398,84,85,928,793,1171,791,415,141,799,798,1270,586,1139,1138,582,583,580,1132,1131,1137,588,617,244,246,1276,242,249,248,253,1009,513,1004,1003,514,517,516,1227,459,621,620,1221,1086,450,452,453,455,456,1228,178,177,175,173,198,977,974,972,979,978,182,657,654,181,652,653,651,187,1124,764,1088,11,10,15,17,16,19,18,867,883,887,889,322,323,354,326,327,329,775,200,777,204,773,209,779,778,77,71,79,2,1042,1041,1040,1047,1044,609,1048,1143,1269,1141,1146,1144,668,667,1262,1261,664,1267,662,1265,660,696,697,698,699,541,546,544,545,8,549,521,995,997,1314,1313,1312,993,868,999,1318,122,123,125,126,127,128,129,69,414,929,416,411,412,137,924,925,499,319,318,312,311,449,832,837,834,368,366,365,362,381,384,385,388,389,444,784,785,780,782,783,148,789,579,578,150,607,574,60,61,65,66,68,1160,250,256,600,602,731,730,1038,404,735,506,1033,504,1031,503,1212,1213,633,1216,468,1214,637,638,639,467,466,461,39,463,462,165,166,167,161,162,966,967,961,962,1303,968,1107,1105,1102,1103,1100,1108,635,1090,1298,878,876,874,872,873,871,1242,585,9,891,892,894,647,896,898,899,1099,255,356,355,808,350,802,801,807,359,217,768,769,766,218,765,1079,643,1074,1075,1073,1070,1071,289,4,282,284,1094,1095,1096,1097,1159,679,674,676,677,1151,671,1152,1119,261,260,264,269,59,58,57,51,50,538,1323,988,989,1326,1325,982,1329,203,985,115,252,111,110,112,1257,1254,1253,1251,915,420,422,911,424,1258,426,301,302,304,306,824,845,376,663,1321,751,757,755,561,759,564,565,1032,229,228,221,1025,1027,1026,1020,1023,1189,1186,1183,1180,1181,726,725,723,720,728,151,1165,153,1209,1208,1098,631,159,1206,1168,608,469,1217,959,958,48,951,44,45,955,954,957,1111,1113,1112,1115,1117,464,1292,1118,1294,1219,488,487,486,485,790,472,470,474,478,479)") - slicedHex <- hex[c(1200,507,428,818,819,346,341,342,666,810,813,348,815,918,719,718,717,716,715,421,1068,916,1061,1063,1062,1064,1066,913,298,296,294,293,290,590,1085,199,594,1081,1080,599,598,197,1123,191,1126,192,270,271,273,275,277,278,525,214,1019,523,1014,1015,528,1011,1013,1235,1236,1237,1232,441,1331,446,1332,108,109,100,106,107,900,38,905,32,31,30,37,35,1243,642,644,438,646,649,437,434,432,433,430,339,335,334,336,331,332,857,850,851,156,853,858,859,6,43,99,98,90,92,95,94,349,742,559,748,554,551,996,238,237,232,233,1199,1051,1052,1055,1057,1191,992,1194,1197,1196,155,146,1176,145,1173,143,140,1170,612,1271,616,1275,614,149,154,1005,1285,194,512,1281,1280,1283,1282,515,1289,1288,1001,685,684,680,1306,1307,1300,622,1308,132,131,498,136,135,494,497,490,492,20,625,406,405,938,402,401,400,930,937,935,934,379,828,370,827,372,822,709,1279,704,706,700,701,702,393,397,1263,394,82,83,80,398,84,85,928,793,1171,791,415,141,799,798,1270,586,1139,1138,582,583,580,1132,1131,1137,588,617,244,246,1276,242,249,248,253,1009,513,1004,1003,514,517,516,1227,459,621,620,1221,1086,450,452,453,455,456,1228,178,177,175,173,198,977,974,972,979,978,182,657,654,181,652,653,651,187,1124,764,1088,11,10,15,17,16,19,18,867,883,887,889,322,323,354,326,327,329,775,200,777,204,773,209,779,778,77,71,79,2,1042,1041,1040,1047,1044,609,1048,1143,1269,1141,1146,1144,668,667,1262,1261,664,1267,662,1265,660,696,697,698,699,541,546,544,545,8,549,521,995,997,1314,1313,1312,993,868,999,1318,122,123,125,126,127,128,129,69,414,929,416,411,412,137,924,925,499,319,318,312,311,449,832,837,834,368,366,365,362,381,384,385,388,389,444,784,785,780,782,783,148,789,579,578,150,607,574,60,61,65,66,68,1160,250,256,600,602,731,730,1038,404,735,506,1033,504,1031,503,1212,1213,633,1216,468,1214,637,638,639,467,466,461,39,463,462,165,166,167,161,162,966,967,961,962,1303,968,1107,1105,1102,1103,1100,1108,635,1090,1298,878,876,874,872,873,871,1242,585,9,891,892,894,647,896,898,899,1099,255,356,355,808,350,802,801,807,359,217,768,769,766,218,765,1079,643,1074,1075,1073,1070,1071,289,4,282,284,1094,1095,1096,1097,1159,679,674,676,677,1151,671,1152,1119,261,260,264,269,59,58,57,51,50,538,1323,988,989,1326,1325,982,1329,203,985,115,252,111,110,112,1257,1254,1253,1251,915,420,422,911,424,1258,426,301,302,304,306,824,845,376,663,1321,751,757,755,561,759,564,565,1032,229,228,221,1025,1027,1026,1020,1023,1189,1186,1183,1180,1181,726,725,723,720,728,151,1165,153,1209,1208,1098,631,159,1206,1168,608,469,1217,959,958,48,951,44,45,955,954,957,1111,1113,1112,1115,1117,464,1292,1118,1294,1219,488,487,486,485,790,472,470,474,478,479),c("x","color")] - Log.info("Performing a 1-by-1 column slice of train using these columns: ") - Log.info("Performing a 1-by-1 row slice of train using these rows: ") - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("sliceTest_ on data train", sliceTest_train_a69d7d95_39b2_4925_8923_3bdb55663b54(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_autoGen/sliceTest_train_c4379fb9_8701_4df1_8673_d13f352e39f1.R b/R/tests/testdir_autoGen/sliceTest_train_c4379fb9_8701_4df1_8673_d13f352e39f1.R deleted file mode 100644 index 3c304004ea..0000000000 --- a/R/tests/testdir_autoGen/sliceTest_train_c4379fb9_8701_4df1_8673_d13f352e39f1.R +++ /dev/null @@ -1,18 +0,0 @@ - source('../Utils/h2oR.R') - Log.info("======================== Begin Test ===========================") - sliceTest_train_c4379fb9_8701_4df1_8673_d13f352e39f1 <- function(conn) { - Log.info("A munge-task R unit test on data testing the functional unit <[> ") - Log.info("Uploading train") - hex <- h2o.uploadFile(conn, "../../../smalldata/chess/chess_2x2x100/R/train.csv", "train.hex") - Log.info("Performing a column slice of train using these columns: c(1)") - slicedHex <- hex[,c(1)] - Log.info("Performing a row slice of train using these rows: c(133,132,131,130,137,136,135,134,139,138,24,25,26,27,20,21,22,23,28,29,4,8,119,120,121,122,123,124,125,126,127,128,129,118,59,58,55,54,57,56,51,50,53,52,115,114,88,89,111,110,113,112,82,83,80,81,86,87,84,85,3,7,108,109,102,103,100,101,106,107,104,105,39,38,33,32,31,30,37,36,35,34,60,61,62,63,64,65,66,67,68,69,2,6,99,98,91,90,93,92,95,94,97,96,11,10,13,12,15,14,17,16,19,18,117,116,151,150,153,152,155,154,157,156,159,158,48,49,46,47,44,45,42,43,40,41,1,5,9,146,147,144,145,142,143,140,141,148,149,77,76,75,74,73,72,71,70,79,78)") - slicedHex <- hex[c(133,132,131,130,137,136,135,134,139,138,24,25,26,27,20,21,22,23,28,29,4,8,119,120,121,122,123,124,125,126,127,128,129,118,59,58,55,54,57,56,51,50,53,52,115,114,88,89,111,110,113,112,82,83,80,81,86,87,84,85,3,7,108,109,102,103,100,101,106,107,104,105,39,38,33,32,31,30,37,36,35,34,60,61,62,63,64,65,66,67,68,69,2,6,99,98,91,90,93,92,95,94,97,96,11,10,13,12,15,14,17,16,19,18,117,116,151,150,153,152,155,154,157,156,159,158,48,49,46,47,44,45,42,43,40,41,1,5,9,146,147,144,145,142,143,140,141,148,149,77,76,75,74,73,72,71,70,79,78),] - Log.info("Performing a row & column slice of train using these rows & columns: c(\"y\") & c(155,198,191,98,115,130,111,239,69,175,49,40,5,207,121,122,109,168,125,261,223,59,14,76,18,30,75,262,124)") - slicedHex <- hex[c(155,198,191,98,115,130,111,239,69,175,49,40,5,207,121,122,109,168,125,261,223,59,14,76,18,30,75,262,124),c("y")] - Log.info("Performing a 1-by-1 column slice of train using these columns: ") - Log.info("Performing a 1-by-1 row slice of train using these rows: ") - } - conn = new("H2OClient", ip=myIP, port=myPort) - tryCatch(test_that("sliceTest_ on data train", sliceTest_train_c4379fb9_8701_4df1_8673_d13f352e39f1(conn)), error = function(e) FAIL(e)) - PASS() diff --git a/R/tests/testdir_single_jvm/findNSourceUtils.R b/R/tests/testdir_single_jvm/findNSourceUtils.R new file mode 100644 index 0000000000..d786a3b07c --- /dev/null +++ b/R/tests/testdir_single_jvm/findNSourceUtils.R @@ -0,0 +1,96 @@ +options(echo=FALSE) +## +# Utilities for relative paths in R +## + +SEARCHPATH <- NULL +calcPath<- +function(path, root) { + if (basename(path) == "h2o") { + print("[WARN]: Could not find the bucket that you specified! Checking R/*.") + SEARCHPATH <<- path + return(-1) + } + if (basename(path) == root || root %in% dir(path)) return(0) + if (basename(dirname(path)) == root || root %in% dir(dirname(path))) return(1) + return(ifelse( calcPath( dirname( path), root) < 0, -1, 1 + calcPath( dirname( path), root) ) ) +} + +genDots<- +function(distance) { + if(distance == 0) return('./') + return(paste(rep("../", distance), collapse="")) +} + +locate<- +function(dataName = NULL, bucket = NULL, path = NULL, fullPath = NULL, schema = "put") { + if (!is.null(fullPath)) { + if (schema == "local") return(paste("./", gsub("[./]",fullPath), sep = "")) + return(fullPath) #schema is put + } + + if(!is.null(bucket)) { + if(is.null(path)) stop("\"path\" must be specified along with bucket. Path is the bucket offset.") + bucket <- gsub("[./]","",bucket) + path <- ifelse(substring(path,1,1) == '/', substring(path,2), path) + path <- ifelse(substring(path,nchar(path)) == '/', substring(path,1,nchar(path)-1),path) + if (schema == "local") return(paste("./",bucket,"/",path,sep = "")) + if (schema == "put") { + distance.bucket.root <- calcPath(getwd(), bucket) + if (distance.bucket.root < 0) { + Log.err(paste("Could not find bucket ", bucket, "\n")) + } + bucket.dots <- genDots(distance.bucket.root) + fullPath <- paste(bucket.dots,bucket,'/',path,sep="") + return(fullPath) + } + if (schema == "S3") stop("Unimpl") + } + + if (!is.null(dataName)) { + bn <- basename(dataName) + dataName <- dirname(dataName) + dataName <- gsub("\\.","", gsub("\\./","",dataName)) + if(!is.null(SEARCHPATH)) return(paste(SEARCHPATH, "/", dataName, sep = "")) + psplit <- strsplit(dataName, "/")[[1]] + bucket <- psplit[1] + path <- paste(psplit[-1], bn, collapse="/", sep = "/") + return(locate(bucket = bucket, path = path, schema = schema)) + } +} + +getBucket<- +function(bucket = NULL) { + if(is.null(bucket)) stop("Did not specify bucket...") + print(bucket) + bucket <- gsub("[./]","",bucket) + distance.bucket.root <- calcPath(getwd(), bucket) + bucket.dots <- genDots(distance.bucket.root) + newBucket <- paste(bucket.dots, bucket, sep ="") + return(newBucket) +} + +distance <- calcPath(getwd(), "tests") +if (distance < 0) { + path <- paste(SEARCHPATH, "/R/", sep = "") + source(paste(path, "tests/Utils/h2oR.R", sep = "")) + source(paste(path, "h2oRClient-package/R/Algorithms.R", sep = "")) + source(paste(path, "h2oRClient-package/R/Classes.R", sep = "")) + source(paste(path, "h2oRClient-package/R/ParseImport.R", sep = "")) + source(paste(path, "h2oRClient-package/R/Internal.R", sep = "")) + sandbox() +} else { + distance <- calcPath(getwd(), "tests") + dots <- genDots(distance) + newPath <- paste(dots, "Utils/h2oR.R", sep = "") + source(newPath) + + #rdots is the calculated path to the R source files... + rdots <- ifelse(dots == "./", "../", paste("../", dots, sep = "")) + + source(paste(rdots, "h2oRClient-package/R/Algorithms.R", sep = "")) + source(paste(rdots, "h2oRClient-package/R/Classes.R", sep = "")) + source(paste(rdots, "h2oRClient-package/R/ParseImport.R", sep = "")) + source(paste(rdots, "h2oRClient-package/R/Internal.R", sep = "")) + sandbox() +} diff --git a/R/tests/testdir_single_jvm/runit_GBM_ecology.R b/R/tests/testdir_single_jvm/runit_GBM_ecology.R index ef29963121..a08b65cca8 100644 --- a/R/tests/testdir_single_jvm/runit_GBM_ecology.R +++ b/R/tests/testdir_single_jvm/runit_GBM_ecology.R @@ -1,6 +1,7 @@ -source('../Utils/h2oR.R') +source('./findNSourceUtils.R') Log.info("======================== Begin Test ===========================\n") + grabRemote <- function(myURL, myFile) { temp <- tempfile() download.file(myURL, temp, method = "curl") @@ -9,10 +10,36 @@ grabRemote <- function(myURL, myFile) { return(aap.file) } +Log.info("==============================") +Log.info("H2O GBM Params: ") +Log.info("x = 3:13") +Log.info("y = Angaus") +Log.info("data = ecology.hex,") +Log.info("n.trees = 100") +Log.info("interaction.depth = 5") +Log.info("n.minobsinnode = 10") +Log.info("shrinkage = 0.1") +Log.info("==============================") +Log.info("==============================") +Log.info("R GBM Params: ") +Log.info("Formula: Angaus ~ ., data = ecology.data[,-1]") +Log.info("distribution = gaussian") +Log.info("ntrees = 100") +Log.info("interaction.depth = 5") +Log.info("n.minobsinnode = 10") +Log.info("shrinkage = 0.1") +Log.info("bag.fraction = 1") +Log.info("==============================") +n.trees <- 100 +interaction.depth <- 5 +n.minobsinnode <- 10 +shrinkage <- 1 + checkGBMModel <- function(myGBM.h2o, myGBM.r,conn) { # Check GBM model against R Log.info("MSE by tree in H2O:") print(myGBM.h2o@model$err) + expect_true(length(myGBM.h2o@model$err) == n.trees) #100 is ntrees Log.info("Gaussian Deviance by tree in R (i.e. the per tree 'train error'): \n") print(myGBM.r$train.error) Log.info("Expect these to be close... mean of the absolute differences is < .5, and sd < 0.1") @@ -26,8 +53,8 @@ checkGBMModel <- function(myGBM.h2o, myGBM.r,conn) { # Compare GBM models on out-of-sample data Log.info("Uploading ecology testing data...\n") - ecologyTest.hex <- h2o.uploadFile(conn, "../../../smalldata/gbm_test/ecology_eval.csv") - ecologyTest.data <- read.csv("../../../smalldata/gbm_test/ecology_eval.csv") + ecologyTest.hex <- h2o.uploadFile(conn, locate("smalldata/gbm_test/ecology_eval.csv")) + ecologyTest.data <- read.csv(locate("smalldata/gbm_test/ecology_eval.csv")) actual <- ecologyTest.data[,1] Log.info("Performing the predictions on h2o GBM model: ") #TODO: Building CM in R instead of in H2O @@ -50,18 +77,28 @@ checkGBMModel <- function(myGBM.h2o, myGBM.r,conn) { test.GBM.ecology <- function(conn) { Log.info("Importing ecology_model.csv data...\n") - ecology.hex = h2o.uploadFile(conn, "../../../smalldata/gbm_test/ecology_model.csv") + print("=============================") + print(locate("smalldata/gbm_test/ecology_model.csv")) + print("=============================") + ecology.hex = h2o.uploadFile(conn, locate("smalldata/gbm_test/ecology_model.csv", schema="put")) ecology.sum = summary(ecology.hex) Log.info("Summary of the ecology data from h2o: \n") print(ecology.sum) #import csv data for R to use - ecology.data = read.csv("../../../smalldata/gbm_test/ecology_model.csv", header = TRUE) + ecology.data = read.csv(locate("smalldata/gbm_test/ecology_model.csv"), header = TRUE) ecology.data = na.omit(ecology.data) #this omits NAs... does GBM do this? Perhaps better to model w/o doing this? Log.info("H2O GBM with parameters:\nntrees = 100, max_depth = 5, min_rows = 10, learn_rate = 0.1\n") #Train H2O GBM Model: - ecology.h2o = h2o.gbm(x = 3:13, y = "Angaus", data = ecology.hex, n.trees = 100, interaction.depth = 5, n.minobsinnode = 10, shrinkage = 0.1) + ecology.h2o = h2o.gbm(x = 3:13, + y = "Angaus", + data = ecology.hex, + n.trees = 100, + interaction.depth = 5, + n.minobsinnode = 10, + shrinkage = 0.1) + print(ecology.h2o) #Train R GBM Model: Using Gaussian loss function for binary outcome OK... Also more comparable to H2O, which uses MSE @@ -73,6 +110,8 @@ test.GBM.ecology <- function(conn) { bag.fraction=1) checkGBMModel(ecology.h2o, ecology.r, conn) + Log.info("End of test.") + PASSS <<- TRUE } test.GBM.airlines <- function() { @@ -90,7 +129,8 @@ test.GBM.airlines <- function() { # allyears.x = subset(allyears.x, select = -ignoreNum) # allyears.gbm = gbm.fit(y = allyears.data$IsArrDelayed, x = allyears.x, distribution = "bernoulli", n.trees = 100, interaction.depth = 5, n.minobsinnode = 10, shrinkage = 0.1) } - +PASSS <- FALSE conn = new("H2OClient", ip=myIP, port=myPort) -tryCatch(test_that("GBM Test: Ecology", test.GBM.ecology(conn)), error = function(e) FAIL(e)) +tryCatch(test_that("GBM Test: Ecology", test.GBM.ecology(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) +if (!PASSS) FAIL("Did not reach the end of test. Check Rsandbox/errors.log for warnings and errors.") PASS() diff --git a/R/tests/testdir_single_jvm/runit_GLM.R b/R/tests/testdir_single_jvm/runit_GLM.R index c23e9d2604..427169f978 100644 --- a/R/tests/testdir_single_jvm/runit_GLM.R +++ b/R/tests/testdir_single_jvm/runit_GLM.R @@ -1,4 +1,4 @@ -source('../Utils/h2oR.R') +source('./findNSourceUtils.R') Log.info("========================== Begin Tests ==============================\n") conn = new("H2OClient", ip=myIP, port=myPort) @@ -17,12 +17,12 @@ test.GLM.benign <- function(conn) { Log.info("Importing benign.csv data...\n") # benign.hex = h2o.importURL(conn, "https..//raw.github.com/0xdata/h2o/master/smalldata/logreg/benign.csv") # benign.hex = h2o.importFile(conn, normalizePath("../../../smalldata/logreg/benign.csv")) - benign.hex = h2o.uploadFile.VA(conn, "../../../smalldata/logreg/benign.csv") + benign.hex = h2o.uploadFile.VA(conn, locate("smalldata/logreg/benign.csv"), "benign.hex") benign.sum = summary(benign.hex) print(benign.sum) # benign.data = read.csv(text = getURL("https..//raw.github.com/0xdata/h2o/master/smalldata/logreg/benign.csv"), header = TRUE) - benign.data = read.csv("../../../smalldata/logreg/benign.csv", header = TRUE) + benign.data = read.csv(locate("smalldata/logreg/benign.csv")) benign.data = na.omit(benign.data) # myY = 3; myY.r = myY + 1 @@ -43,6 +43,8 @@ test.GLM.benign <- function(conn) { benign.glm = glmnet(y = benign.data[,myY], x = data.matrix(benign.data[,myX]), family = "binomial", alpha = 0.5) checkGLMModel(benign.glm.h2o, benign.glm) } + Log.info("End of test") + PASSS <<- TRUE } # Test GLM on prostate dataset @@ -50,12 +52,12 @@ test.GLM.prostate <- function(conn) { Log.info("Importing prostate.csv data...\n") # prostate.hex = h2o.importURL(conn, "https..//raw.github.com/0xdata/h2o/master/smalldata/logreg/prostate.csv", "prostate.hex") # prostate.hex = h2o.importFile(conn, normalizePath("../../../smalldata/logreg/prostate.csv"), "prostate.hex") - prostate.hex = h2o.uploadFile.VA(conn, "../../../smalldata/logreg/prostate.csv", "prostate.hex") + prostate.hex = h2o.uploadFile.VA(conn, locate("smalldata/logreg/prostate.csv"), "prostate.hex") prostate.sum = summary(prostate.hex) print(prostate.sum) # prostate.data = read.csv(text = getURL("https..//raw.github.com/0xdata/h2o/master/smalldata/logreg/prostate.csv"), header = TRUE) - prostate.data = read.csv("../../../smalldata/logreg/prostate.csv", header = TRUE) + prostate.data = read.csv(locate("smalldata/logreg/prostate.csv"), header = TRUE) prostate.data = na.omit(prostate.data) myY = 2 @@ -72,6 +74,8 @@ test.GLM.prostate <- function(conn) { prostate.glm = glmnet(y = prostate.data[,myY], x = data.matrix(prostate.data[,myX]), family = "binomial", alpha = 0.5) checkGLMModel(prostate.glm.h2o, prostate.glm) } + Log.info("End of test") + PASSS <<- TRUE } # Test GLM on covtype (20k) dataset @@ -80,7 +84,7 @@ test.GLM.covtype <- function(conn) { # covtype.hex = h2o.importFile(conn, "../../../UCI/UCI-large/covtype/covtype.data") # covtype.hex = h2o.importURL(conn, "https..//raw.github.com/0xdata/h2o/master/smalldata/covtype/covtype.20k.data") # covtype.hex = h2o.importFile(conn, normalizePath("../../../smalldata/covtype/covtype.20k.data")) - covtype.hex = h2o.uploadFile.VA(conn, "../../../smalldata/covtype/covtype.20k.data") + covtype.hex = h2o.uploadFile.VA(conn, locate("smalldata/covtype/covtype.20k.data")) covtype.sum = summary(covtype.hex) print(covtype.sum) @@ -109,13 +113,20 @@ test.GLM.covtype <- function(conn) { end = Sys.time() Log.info(cat("GLM (L1) on", covtype.hex@key, "took", as.numeric(end-start), "seconds\n")) print(covtype.h2o3) + Log.info("End of test.") + PASSS <<- TRUE } - +PASSS <- FALSE conn = new("H2OClient", ip=myIP, port=myPort) -tryCatch(test_that("GLM Test: Benign", test.GLM.benign(conn)), error = function(e) FAIL(e)) +tryCatch(test_that("GLM Test: Benign", test.GLM.benign(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) +if (!PASSS) FAIL("Did not reach the end of test. Check Rsandbox/errors.log for warnings and errors.") PASS() -tryCatch(test_that("GLM TestL Prostate", test.GLM.prostate(conn)), error = function(e) FAIL(e)) +PASSS <- FALSE +tryCatch(test_that("GLM TestL Prostate", test.GLM.prostate(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) +if (!PASSS) FAIL("Did not reach the end of test. Check Rsandbox/errors.log for warnings and errors.") PASS() -tryCatch(test_that("GLM Test: Covtype", test.GLM.covtype(conn)), error = function(e) FAIL(e)) +PASSS <- FALSE +tryCatch(test_that("GLM Test: Covtype", test.GLM.covtype(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) +if (!PASSS) FAIL("Did not reach the end of test. Check Rsandbox/errors.log for warnings and errors.") PASS() diff --git a/R/tests/testdir_single_jvm/runit_NN_iris_basic.R b/R/tests/testdir_single_jvm/runit_NN_iris_basic.R index 594502646c..01508290bb 100644 --- a/R/tests/testdir_single_jvm/runit_NN_iris_basic.R +++ b/R/tests/testdir_single_jvm/runit_NN_iris_basic.R @@ -1,14 +1,18 @@ -source('../Utils/h2oR.R') +source('./findNSourceUtils.R') Log.info("#------------------------------ Begin Tests ------------------------------#") check.nn_basic <- function(conn) { - iris.hex <- h2o.uploadFile(conn, "../../../smalldata/iris/iris.csv", "iris.hex") + iris.hex <- h2o.uploadFile(conn, locate("smalldata/iris/iris.csv"), "iris.hex") hh=h2o.nn(x=c(1,2,3,4),y=5,data=iris.hex) print(hh) + Log.info("End of test") + PASSS <<- TRUE } +PASSS <- FALSE conn = new("H2OClient", ip=myIP, port=myPort) -tryCatch(test_that("nn test", check.nn_basic(conn)), error = function(e) FAIL(e)) +tryCatch(test_that("nn test", check.nn_basic(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) +if (!PASSS) FAIL("Did not reach the end of test. Check Rsandbox/errors.log for warnings and errors.") PASS() diff --git a/R/tests/testdir_single_jvm/runit_NN_multiclass.r b/R/tests/testdir_single_jvm/runit_NN_multiclass.r index ca14b31d18..35100d9915 100644 --- a/R/tests/testdir_single_jvm/runit_NN_multiclass.r +++ b/R/tests/testdir_single_jvm/runit_NN_multiclass.r @@ -1,4 +1,4 @@ -source('./Utils/h2oR.R') +source('./findNSourceUtils.R') Log.info("=============This test checks if NN works fine with a multiclass training and test dataset========================\n") @@ -6,14 +6,17 @@ Log.info("========================== Begin Tests ==============================\ check.nn_multi <- function() { -#prostate = h2o.uploadFile(conn, "/home/infinity/h2o/smalldata/logreg/prostate.csv") + #prostate = h2o.uploadFile(conn, "/home/infinity/h2o/smalldata/logreg/prostate.csv") -prostate = h2o.uploadFile(conn, "../../smalldata/logreg/prostate.csv") + prostate = h2o.uploadFile(conn, locate("smalldata/logreg/prostate.csv") ) -hh=h2o.nn(x=c(1,2,3),y=5,data=prostate,validation=p.hex) -print(hh) + hh=h2o.nn(x=c(1,2,3),y=5,data=prostate,validation=p.hex) + print(hh) + Log.info("End of test..") + PASSS <<- TRUE } - +PASSS <- FALSE conn = new("H2OClient", ip=myIP, port=myPort) -tryCatch(test_that("nn multiclass test", check.nn_multi()), error = function(e) FAIL(e)) +tryCatch(test_that("nn multiclass test", check.nn_multi()), warning = function(w) WARN(w), error = function(e) FAIL(e)) +if (!PASSS) FAIL("Did not reach the end of test. Check Rsandbox/errors.log for warnings and errors.") PASS() diff --git a/R/tests/testdir_single_jvm/runit_PCA.R b/R/tests/testdir_single_jvm/runit_PCA.R index a092cc9afb..72b8f103e0 100644 --- a/R/tests/testdir_single_jvm/runit_PCA.R +++ b/R/tests/testdir_single_jvm/runit_PCA.R @@ -1,4 +1,4 @@ -source('../Utils/h2oR.R') +source('./findNSourceUtils.R') Log.info("======================== Begin Test ===========================\n") @@ -18,9 +18,7 @@ checkPCAModel <- function(myPCA.h2o, myPCA.r, toleq = 1e-5) { test.PCA.arrests <- function(conn) { Log.info("Importing USArrests.csv data...\n") - # arrests.hex = h2o.importURL(conn, "https..//raw.github.com/0xdata/h2o/master/smalldata/pca_test/USArrests.csv") - # arrests.hex = h2o.importFile(conn, normalizePath("../../../smalldata/pca_test/USArrests.csv")) - arrests.hex = h2o.uploadFile(conn, "../../../smalldata/pca_test/USArrests.csv", "arrests.hex") + arrests.hex = h2o.uploadFile(conn, locate("smalldata/pca_test/USArrests.csv"), "arrests.hex") arrests.sum = summary(arrests.hex) print(arrests.sum) @@ -35,13 +33,15 @@ test.PCA.arrests <- function(conn) { print(arrests.pca.h2o.std) arrests.pca.std = prcomp(USArrests, center = TRUE, scale. = TRUE, retx = TRUE) checkPCAModel(arrests.pca.h2o.std, arrests.pca.std) + Log.info("End of test") + PASSS <<- TRUE + } test.PCA.australia <- function(conn) { Log.info("Importing AustraliaCoast.csv data...\n") - australia.data = read.csv("../../../smalldata/pca_test/AustraliaCoast.csv", header = TRUE) - # australia.hex = h2o.importFile(conn, normalizePath("../../../smalldata/pca_test/AustraliaCoast.csv")) - australia.hex = h2o.uploadFile(conn, "../../../smalldata/pca_test/AustraliaCoast.csv") + australia.data = read.csv(locate("smalldata/pca_test/AustraliaCoast.csv"), header = TRUE) + australia.hex = h2o.uploadFile(conn, locate( "smalldata/pca_test/AustraliaCoast.csv",)) australia.sum = summary(australia.hex) print(australia.sum) @@ -56,11 +56,18 @@ test.PCA.australia <- function(conn) { print(australia.pca.h2o.std) australia.pca.std = prcomp(australia.data, center = TRUE, scale. = TRUE, retx = TRUE) checkPCAModel(australia.pca.h2o.std, australia.pca.std) + Log.info("End of test") + PASSS <<- TRUE } conn = new("H2OClient", ip=myIP, port=myPort) -tryCatch(test_that("PCA Test: USArrests", test.PCA.arrests(conn)), error = function(e) FAIL(e)) +PASSS <- FALSE +tryCatch(test_that("PCA Test: USArrests", test.PCA.arrests(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) +if (!PASSS) FAIL("Did not reach the end of test. Check Rsandbox/errors.log for warnings and errors.") PASS() -tryCatch(test_that("PCA Test: Australia", test.PCA.australia(conn)), error = function(e) FAIL(e)) + +PASSS <- FALSE +tryCatch(test_that("PCA Test: Australia", test.PCA.australia(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) +if (!PASSS) FAIL("Did not reach the end of test. Check Rsandbox/errors.log for warnings and errors.") PASS() diff --git a/R/tests/testdir_single_jvm/runit_RF.R b/R/tests/testdir_single_jvm/runit_RF.R index 84093952d9..6714145b57 100644 --- a/R/tests/testdir_single_jvm/runit_RF.R +++ b/R/tests/testdir_single_jvm/runit_RF.R @@ -1,20 +1,21 @@ -source('../Utils/h2oR.R') +source('./findNSourceUtils.R') -Log.info("\n======================== Begin Test ===========================\n") +Log.info("======================== Begin Test ===========================\n") test.RF.iris_class <- function(conn) { - iris.hex = h2o.uploadFile(conn, "../../../smalldata/iris/iris22.csv", "iris.hex") + iris.hex = h2o.uploadFile(conn, locate( "smalldata/iris/iris22.csv"), "iris.hex") iris.rf = h2o.randomForest(y = 5, x = seq(1,4), data = iris.hex, ntree = 50, depth = 100) print(iris.rf) iris.rf = h2o.randomForest(y = 6, x = seq(1,4), data = iris.hex, ntree = 50, depth = 100 ) print(iris.rf) + PASSS <<- TRUE } test.RF.iris_ignore <- function(conn) { conn = new("H2OClient", ip=myIP, port=myPort) # iris.hex = h2o.importURL(conn, "https..//raw.github.com/0xdata/h2o/master/smalldata/iris/iris22.csv", "iris.hex") # iris.hex = h2o.importFile(conn, normalizePath("../../../smalldata/iris/iris22.csv"), "iris.hex") - iris.hex = h2o.uploadFile(conn, "../../../smalldata/iris/iris22.csv", "iris.hex") + iris.hex = h2o.uploadFile(conn, locate("smalldata/iris/iris22.csv"), "iris.hex") h2o.randomForest(y = 5, x = seq(1,4), data = iris.hex, ntree = 50, depth = 100) for(maxx in 1:4) { # myIgnore = as.character(seq(0, maxx)) @@ -22,13 +23,16 @@ test.RF.iris_ignore <- function(conn) { iris.rf = h2o.randomForest(y = 5, x = myX, data = iris.hex, ntree = 50, depth = 100) print(iris.rf) } + Log.info("End of test.") + PASSS <<- TRUE } - conn = new("H2OClient", ip=myIP, port=myPort) - -tryCatch(test_that("RF test iris all", test.RF.iris_class(conn)), error = function(e) FAIL(e)) +PASSS <- FALSE +tryCatch(test_that("RF test iris all", test.RF.iris_class(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) +if (!PASSS) FAIL("Did not reach the end of test. Check Rsandbox/errors.log for warnings and errors.") PASS() - -tryCatch(test_that("RF test iris ignore", test.RF.iris_ignore(conn)), error =function(e) FAIL(e)) +PASSS <- FALSE +tryCatch(test_that("RF test iris ignore", test.RF.iris_ignore(conn)), warning = function(w) WARN(w), error =function(e) FAIL(e)) +if (!PASSS) FAIL("Did not reach the end of test. Check Rsandbox/errors.log for warnings and errors.") PASS() diff --git a/R/tests/testdir_single_jvm/runit_glm2.R b/R/tests/testdir_single_jvm/runit_glm2.R index db70d00bb4..fa816b7ecb 100644 --- a/R/tests/testdir_single_jvm/runit_glm2.R +++ b/R/tests/testdir_single_jvm/runit_glm2.R @@ -1,10 +1,10 @@ -source('../Utils/h2oR.R', echo=FALSE, verbose=FALSE, print.eval=FALSE) +source('./findNSourceUtils.R') Log.info("------------------------------ Begin Tests ------------------------------") glm2Benign <- function(conn) { # bhexFV <- h2o.importFile(conn, "./smalldata/logreg/benign.csv", key="benignFV.hex") - bhexFV <- h2o.uploadFile(conn, "../../../smalldata/logreg/benign.csv", key="benignFV.hex") + bhexFV <- h2o.uploadFile(conn, locate("../../../smalldata/logreg/benign.csv"), key="benignFV.hex") maxX <- 11 Y <- 4 X <- 3:maxX @@ -16,19 +16,21 @@ glm2Benign <- function(conn) { Log.info("Check that the columns used in the model are the ones we passed in.") Log.info("===================Columns passed in: ================") - Log.info(paste(colnames(bhexFV)[X], "\n", sep="")) + Log.info(paste("index ", X ," ", colnames(bhexFV)[X], "\n", sep="")) Log.info("======================================================") Log.info("===================Columns Used in Model: =========================") Log.info(paste(mFV@model$x, "\n", sep="")) Log.info("================================================================") #Check coeffs here - expect_that(mFV@model$x, equals(colnames(bhexFV)[X])) - + #tryCatch(expect_that(mFV@model$x, equals(colnames(bhexFV)[X])), error = function(e) Log.warn("Not getting colnames back, just indices")) + expect_that(mFV@model$x, equals(X)) + Log.info("End of test") + PASSS <<- TRUE } - +PASSS <- FALSE conn <- new("H2OClient", ip=myIP, port=myPort) -tryCatch(testResult <- test_that("glm2 benign", glm2Benign(conn)), - error = function(e) { FAIL(e)}) - +tryCatch(testResult <- test_that("glm2 benign", glm2Benign(conn)), warning = function(w) WARN(w), error = function(e) { FAIL(e)}) +if (!PASSS) FAIL("Did not reach the end of test. Check Rsandbox/errors.log for warnings and errors.") PASS() + diff --git a/R/tests/testdir_single_jvm/runit_histograms.R b/R/tests/testdir_single_jvm/runit_histograms.R index be69a10097..60ce0a26fe 100644 --- a/R/tests/testdir_single_jvm/runit_histograms.R +++ b/R/tests/testdir_single_jvm/runit_histograms.R @@ -1,4 +1,4 @@ -source('../Utils/h2oR.R') +source('./findNSourceUtils.R') Log.info("======================== Begin Test ===========================\n") @@ -43,17 +43,21 @@ test.histogram <- function (con, path, key) { conn <- new("H2OClient", ip=myIP, port=myPort) - -csv.files <- list.files('../../../smalldata/', recursive=T, full.names=T, pattern='*.csv$') -exclude <- c("../../../smalldata//empty.csv", - "../../../smalldata//test/test_less_than_65535_unique_names.csv", - "../../../smalldata//test/test_more_than_65535_unique_names.csv") -csv.files <- csv.files[-which(csv.files %in% exclude)] - +print("getting files...") +bucket <- getBucket('smalldata') +print(bucket) +csv.files <- list.files(bucket, recursive=T, full.names=T, pattern='*.csv$') +print(csv.files) +exclude <- c(locate("../../../smalldata//empty.csv"), + locate("../../../smalldata//test/test_less_than_65535_unique_names.csv"), + locate("../../../smalldata//test/test_more_than_65535_unique_names.csv")) +print(exclude) +csvtry <- csv.files[!(csv.files %in% exclude)] +csv.files <- csvtry Log.info(csv.files) for ( f in csv.files ) { print(f) - tryCatch("Histogram Test", test.histogram(conn, f, sub('.csv$', '.hex', f)), error = function(e) FAIL(e)) + tryCatch("Histogram Test", test.histogram(conn, f, sub('.csv$', '.hex', f)), warning = function(w) WARN(w), error = function(e) FAIL(e)) PASS() } diff --git a/R/tests/testdir_single_jvm/runit_kmeans.R b/R/tests/testdir_single_jvm/runit_kmeans.R index d6a44842de..de8ae12c14 100644 --- a/R/tests/testdir_single_jvm/runit_kmeans.R +++ b/R/tests/testdir_single_jvm/runit_kmeans.R @@ -1,4 +1,4 @@ -source('../Utils/h2oR.R') +source('./findNSourceUtils.R') Log.info("======================== Begin Test ===========================\n") @@ -14,12 +14,12 @@ test.km.benign <- function(conn) { Log.info("Importing benign.csv data...\n") # benign.hex = h2o.importURL(conn, "https..//raw.github.com/0xdata/h2o/master/smalldata/logreg/benign.csv") # benign.hex = h2o.importFile(conn, normalizePath("../../../smalldata/logreg/benign.csv")) - benign.hex <- h2o.uploadFile(conn, "../../../smalldata/logreg/benign.csv") + benign.hex <- h2o.uploadFile(conn, locate("../../../smalldata/logreg/benign.csv")) benign.sum <- summary(benign.hex) print(benign.sum) # benign.data = read.csv(text = getURL("https..//raw.github.com/0xdata/h2o/master/smalldata/logreg/benign.csv"), header = TRUE) - benign.data <- read.csv("../../../smalldata/logreg/benign.csv", header = TRUE) + benign.data <- read.csv(locate("../../../smalldata/logreg/benign.csv"), header = TRUE) benign.data <- na.omit(benign.data) for(i in 2:6) { @@ -36,12 +36,12 @@ test.km.prostate <- function(conn) { Log.info("Importing prostate.csv data...\n") # prostate.hex = h2o.importURL(conn, "https..//raw.github.com/0xdata/h2o/master/smalldata/logreg/prostate.csv", "prostate.hex") # prostate.hex = h2o.importFile(conn, normalizePath("../../../smalldata/logreg/prostate.csv")) - prostate.hex = h2o.uploadFile(conn, "../../../smalldata/logreg/prostate.csv") + prostate.hex = h2o.uploadFile(conn, locate("../../../smalldata/logreg/prostate.csv")) prostate.sum = summary(prostate.hex) print(prostate.sum) # prostate.data = read.csv(text = getURL("https..//raw.github.com/0xdata/h2o/master/smalldata/logreg/prostate.csv"), header = TRUE) - prostate.data = read.csv("../../../smalldata/logreg/prostate.csv", header = TRUE) + prostate.data = read.csv(locate("../../../smalldata/logreg/prostate.csv"), header = TRUE) prostate.data = na.omit(prostate.data) for(i in 5:8) { @@ -54,8 +54,8 @@ test.km.prostate <- function(conn) { } conn <- new("H2OClient", ip=myIP, port=myPort) -tryCatch("KMeans FVec", test.km.benign(conn), error = function(e) FAIL(e)) +tryCatch("KMeans FVec", test.km.benign(conn), warning = function(w) WARN(w), error = function(e) FAIL(e)) PASS() -tryCatch("KMeans FVec Test 2", test.km.prostate(conn), error = function(e) FAIL(e)) +tryCatch("KMeans FVec Test 2", test.km.prostate(conn), warning = function(w) WARN(w), error = function(e) FAIL(e)) PASS() diff --git a/R/tests/testdir_single_jvm/runit_libR_airlines.R b/R/tests/testdir_single_jvm/runit_libR_airlines.R index e5a6d95eb1..13eb5e0616 100644 --- a/R/tests/testdir_single_jvm/runit_libR_airlines.R +++ b/R/tests/testdir_single_jvm/runit_libR_airlines.R @@ -1,5 +1,5 @@ -source('../Utils/h2oR.R') -Log.info("\nLoading LiblineaR and ROCR packages\n") +source('./findNSourceUtils.R') +Log.info("Loading LiblineaR and ROCR packages\n") if(!"LiblineaR" %in% rownames(installed.packages())) install.packages("LiblineaR") if(!"ROCR" %in% rownames(installed.packages())) install.packages("ROCR") require(LiblineaR) @@ -79,13 +79,13 @@ test.LiblineaR.airlines <- function(con) { } Log.info("Importing Airlines test/train data...\n") - exdir <- "../../../smalldata/airlines/unzipped" - airlinesTrain <- "../../../smalldata/airlines/AirlinesTrain.csv.zip" - airlinesTest <- "../../../smalldata/airlines/AirlinesTest.csv.zip" + exdir <- locate("../../../smalldata/airlines/unzipped") + airlinesTrain <- locate("../../../smalldata/airlines/AirlinesTrain.csv.zip") + airlinesTest <- locate("../../../smalldata/airlines/AirlinesTest.csv.zip") aTrain <- na.omit(read.zip(zipfile = airlinesTrain, exdir = exdir)) aTest <- na.omit(read.zip(zipfile = airlinesTest, exdir = exdir)) - trainhex <- h2o.uploadFile.VA(conn, paste(exdir, "../../../AirlinesTrain.csv", sep=""), "aTrain.hex") - testhex <- h2o.uploadFile.VA(conn, paste(exdir, "../../../AirlinesTest.csv", sep=""), "aTest.hex") + trainhex <- h2o.uploadFile.VA(conn, paste(exdir, "/AirlinesTrain.csv", sep = ""), "aTrain.hex") + testhex <- h2o.uploadFile.VA(conn, paste(exdir, "/AirlinesTest.csv", sep=""), "aTest.hex") remove_exdir(exdir) #xTrain <- scale(model.matrix(IsDepDelayed_REC ~., aTrain[,-11])[,-1]) diff --git a/R/tests/testdir_single_jvm/runit_libR_prostate.R b/R/tests/testdir_single_jvm/runit_libR_prostate.R index 3ccbd362c2..64e9674e11 100644 --- a/R/tests/testdir_single_jvm/runit_libR_prostate.R +++ b/R/tests/testdir_single_jvm/runit_libR_prostate.R @@ -1,6 +1,6 @@ -source('../Utils/h2oR.R') +source('./findNSourceUtils.R') -Log.info("\nLoading LiblineaR and ROCR packages\n") +Log.info("Loading LiblineaR and ROCR packages\n") if(!"LiblineaR" %in% rownames(installed.packages())) install.packages("LiblineaR") if(!"ROCR" %in% rownames(installed.packages())) install.packages("ROCR") @@ -16,18 +16,18 @@ test.LiblineaR <- function(conn) { Log.info(" cost = 100: Cost of connstraints parameter\n") Log.info("epsilon = 1E-2: Tolerance of termination criterion\n") Log.info(" cross = 0: No k-fold cross-validation\n") - LibR.m <- LiblineaR(train, trainLabels,type=0, epsilon=1E-2, cost=100)#cost= 1../ (34 * 7)) + LibR.m <- LiblineaR(train, trainLabels,type=0, epsilon=1E-2, cost=100) #cost= 1../ (34 * 7)) LibRpreds <- predict(LibR.m, test, proba=1, decisionValues=TRUE) LibRCM <- table(testLabels, LibRpreds$predictions) - LibRPrecision <- LibRCM[1]../ (LibRCM[1] + LibRCM[3]) - LibRRecall <- LibRCM[1]../ (LibRCM[1] + LibRCM[2]) - LibRF1 <- 2 * (LibRPrecision * LibRRecall)../ (LibRPrecision + LibRRecall) + LibRPrecision <- LibRCM[1]/ (LibRCM[1] + LibRCM[3]) + LibRRecall <- LibRCM[1]/ (LibRCM[1] + LibRCM[2]) + LibRF1 <- 2 * (LibRPrecision * LibRRecall)/ (LibRPrecision + LibRRecall) LibRAUC <- performance(prediction(as.numeric(LibRpreds$predictions), testLabels), measure = "auc")@y.values Log.info("Using these parameters for H2O: \n") Log.info(" family = 'binomial': Logistic Regression\n") - Log.info(" lambda = ../700: Shrinkage Parameter\n") + Log.info(" lambda = 1/700: Shrinkage Parameter\n") Log.info(" alpha = 0.0: Elastic Net Parameter\n") Log.info("epsilon = 1E-02: Tolerance of termination criterion\n") Log.info(" nfolds = 1: No k-fold cross-validation\n") @@ -36,7 +36,7 @@ test.LiblineaR <- function(conn) { data = trainhex, family = "binomial", nfolds = 1, - lambda = 1../ (7 * 100), #700, + lambda = 1/ (7 * 100), #700, alpha = 0.0, epsilon = 1E-2) @@ -44,9 +44,9 @@ test.LiblineaR <- function(conn) { h2opreds <- head(h2op, nrow(h2op)) h2oCM <- table(testLabels, h2opreds$CAPSULE) - h2oPrecision <- h2oCM[1]../ (h2oCM[1] + h2oCM[3]) - h2oRecall <- h2oCM[1]../ (h2oCM[1] + h2oCM[2]) - h2oF1 <- 2 * (h2oPrecision * h2oRecall)../ (h2oPrecision + h2oRecall) + h2oPrecision <- h2oCM[1]/ (h2oCM[1] + h2oCM[3]) + h2oRecall <- h2oCM[1]/ (h2oCM[1] + h2oCM[2]) + h2oF1 <- 2 * (h2oPrecision * h2oRecall)/ (h2oPrecision + h2oRecall) h2oAUC <- performance(prediction(h2opreds$CAPSULE, testLabels), measure = "auc")@y.values Log.info(" ============= H2O Performance =============\n") @@ -76,9 +76,9 @@ test.LiblineaR <- function(conn) { LibRpreds <- predict(LibR.m, test, proba=1, decisionValues=TRUE) LibRCM <- table(testLabels, LibRpreds$predictions) - LibRPrecision <- LibRCM[1]../ (LibRCM[1] + LibRCM[3]) - LibRRecall <- LibRCM[1]../ (LibRCM[1] + LibRCM[2]) - LibRF1 <- 2 * (LibRPrecision * LibRRecall)../ (LibRPrecision + LibRRecall) + LibRPrecision <- LibRCM[1]/ (LibRCM[1] + LibRCM[3]) + LibRRecall <- LibRCM[1]/ (LibRCM[1] + LibRCM[2]) + LibRF1 <- 2 * (LibRPrecision * LibRRecall)/ (LibRPrecision + LibRRecall) LibRAUC <- performance(prediction(as.numeric(LibRpreds$predictions), testLabels), measure = "auc")@y.values Log.info("Using these parameters for H2O: \n") @@ -92,7 +92,7 @@ test.LiblineaR <- function(conn) { data = trainhex, family = "binomial", nfolds = 1, - lambda = ../70, + lambda = 1/70, alpha = 0.00, epsilon = 1E-2) @@ -100,9 +100,9 @@ test.LiblineaR <- function(conn) { h2opreds <- head(h2op, nrow(h2op)) h2oCM <- table(testLabels, h2opreds$CAPSULE) - h2oPrecision <- h2oCM[1]../ (h2oCM[1] + h2oCM[3]) - h2oRecall <- h2oCM[1]../ (h2oCM[1] + h2oCM[2]) - h2oF1 <- 2 * (h2oPrecision * h2oRecall)../ (h2oPrecision + h2oRecall) + h2oPrecision <- h2oCM[1]/ (h2oCM[1] + h2oCM[3]) + h2oRecall <- h2oCM[1]/ (h2oCM[1] + h2oCM[2]) + h2oF1 <- 2 * (h2oPrecision * h2oRecall)/ (h2oPrecision + h2oRecall) h2oAUC <- performance(prediction(h2opreds$CAPSULE, testLabels), measure = "auc")@y.values Log.info(" ============= H2O Performance =============\n") @@ -139,11 +139,11 @@ test.LiblineaR <- function(conn) { Log.info(paste(all.equal(abs(as.vector(h2o@model$coefficients)), abs(as.vector(libR$W))), "\n", sep = "")) } - Log.info("\nImporting prostate tes../train data...\n") - prostate.train.hex <- h2o.uploadFile.VA(conn, "../../../smalldata/logreg/prostate_train.csv", "pTrain.hex") - prostate.test.hex <- h2o.uploadFile.VA(conn, "../../../smalldata/logreg/prostate_test.csv", "pTest.hex") - prostate.train.dat <- read.csv("../../../smalldata/logreg/prostate_train.csv") #head(prostate.train.hex,nrow(prostate.train.hex)) - prostate.test.dat <- read.csv("../../../smalldata/logreg/prostate_test.csv") #head(prostate.test.hex,nrow(prostate.test.hex)) + Log.info("\nImporting prostate test/train data...\n") + prostate.train.hex <- h2o.uploadFile.VA(conn, locate("../../../smalldata/logreg/prostate_train.csv"), "pTrain.hex") + prostate.test.hex <- h2o.uploadFile.VA(conn, locate("../../../smalldata/logreg/prostate_test.csv"), "pTest.hex") + prostate.train.dat <- read.csv(locate("../../../smalldata/logreg/prostate_train.csv")) #head(prostate.train.hex,nrow(prostate.train.hex)) + prostate.test.dat <- read.csv(locate("../../../smalldata/logreg/prostate_test.csv")) #head(prostate.test.hex,nrow(prostate.test.hex)) xTrain <- prostate.train.dat[,-1] yTrain <- factor(prostate.train.dat[,1]) xTest <- prostate.test.dat[,-1] @@ -155,5 +155,5 @@ test.LiblineaR <- function(conn) { conn <- new("H2OClient", ip=myIP, port=myPort) -tryCatch(test_that("LiblineaR Test", test.LiblineaR(conn)), error = function(e) FAIL(e)) +tryCatch(test_that("LiblineaR Test", test.LiblineaR(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) PASS() diff --git a/R/tests/testdir_single_jvm/runit_mnist_manyCols.R b/R/tests/testdir_single_jvm/runit_mnist_manyCols.R index a54f91d01d..4f1d61b1dd 100644 --- a/R/tests/testdir_single_jvm/runit_mnist_manyCols.R +++ b/R/tests/testdir_single_jvm/runit_mnist_manyCols.R @@ -1,28 +1,22 @@ -source('../Utils/h2oR.R') -logging("\nLoading R.utils package\n") +source('./findNSourceUtils.R') +Log.info("Loading R.utils package\n") if(!"R.utils" %in% rownames(installed.packages())) install.packages("R.utils") require(R.utils) -logging("\n======================== Begin Test ===========================\n") +Log.info("======================= Begin Test ===========================\n") -H2Ocon <- new("H2OClient", ip=myIP, port=myPort) - -test.mnist.manyCols <- function(con) { - cat("\nImporting mnist train data...\n") - train.hex = h2o.uploadFile(H2Ocon, "../../../smalldata/mnist/train.csv.gz", "train.hex") - cat("\nCheck that tail works...") +test.mnist.manyCols <- function(conn) { + Log.info("Importing mnist train data...\n") + train.hex = h2o.uploadFile(conn, locate("../../../smalldata/mnist/train.csv.gz"), "train.hex") + Log.info("Check that tail works...") tail(train.hex) tail_ <- tail(train.hex) - cat(" OK, yes tail works!\n") - cat("Doing gbm on mnist training data.... \n") - cat("This may take a while if the package is freshly loaded.\n") - cat("The reason for this is the S4 method selection process by the\n") - cat("R evaluator is taking forever checking out the inheritances of\n") - cat("all of the classes of the arguments given in h2o.gbm.\n") - gbm.mnist <- h2o.gbm(x= 0:783, y = 784, data = train.hex, n.trees = 5, interaction.depth = 5, n.minobsinnode = 10, shrinkage = 0.01) + Log.info("Doing gbm on mnist training data.... \n") + gbm.mnist <- h2o.gbm(x= 1:784, y = 785, data = train.hex, n.trees = 5, interaction.depth = 5, n.minobsinnode = 10, shrinkage = 0.01) print(gbm.mnist) - print("End of test.") + Log.info("End of test.") } -test_that("manyCols",test.mnist.manyCols(H2Ocon)) - +conn <- new("H2OClient", ip=myIP, port=myPort) +tryCatch(test_that("manyCols",test.mnist.manyCols(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) +PASS() diff --git a/R/tests/testdir_single_jvm/runit_removeAll.R b/R/tests/testdir_single_jvm/runit_removeAll.R index 7db9dcf78a..5271b5a5f4 100644 --- a/R/tests/testdir_single_jvm/runit_removeAll.R +++ b/R/tests/testdir_single_jvm/runit_removeAll.R @@ -2,12 +2,12 @@ # Generate lots of keys then remove them ## -source('../Utils/h2oR.R') +source('./findNSourceUtils.R') Log.info("======================== Begin Test ===========================\n") test <- function(conn) { - arrests.hex = h2o.uploadFile(conn, "../../../smalldata/pca_test/USArrests.csv", "arrests.hex") + arrests.hex = h2o.uploadFile(conn, locate("../../../smalldata/pca_test/USArrests.csv"), "arrests.hex") Log.info("Slicing column 1 of arrests 250 times") for(i in 1:250) { @@ -26,5 +26,5 @@ test <- function(conn) { conn = new("H2OClient", ip=myIP, port=myPort) -tryCatch(test_that("many keys test", test(conn)), error = function(e) FAIL(e)) +tryCatch(test_that("many keys test", test(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) PASS() diff --git a/R/tests/testdir_single_jvm/runit_sliceColHeadTail_iris.R b/R/tests/testdir_single_jvm/runit_sliceColHeadTail_iris.R index 4fbae9728c..0339de3dc7 100644 --- a/R/tests/testdir_single_jvm/runit_sliceColHeadTail_iris.R +++ b/R/tests/testdir_single_jvm/runit_sliceColHeadTail_iris.R @@ -1,11 +1,11 @@ -source('../Utils/h2oR.R') +source('./findNSourceUtils.R') Log.info("======================== Begin Test ===========================\n") test.slice.colTail <- function(conn) { Log.info("Importing iris.csv data...\n") - iris.hex <- h2o.importFile(conn, "../smalldata/iris/iris_wheader.csv") + iris.hex <- h2o.importFile(conn, locate("../smalldata/iris/iris_wheader.csv", schema="local")) iris_nrows <- nrow(iris.hex) iris_ncols <- ncol(iris.hex) @@ -42,5 +42,5 @@ test.slice.colTail <- function(conn) { } conn <- new("H2OClient", ip=myIP, port=myPort) -tryCatch(test_that("sliceTestsColTail",test.slice.colTail(conn)), error = function(e) FAIL(e)) +tryCatch(test_that("sliceTestsColTail",test.slice.colTail(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) PASS() diff --git a/R/tests/testdir_single_jvm/runit_sliceColSummary_iris.R b/R/tests/testdir_single_jvm/runit_sliceColSummary_iris.R index 361aa48673..e31370994e 100644 --- a/R/tests/testdir_single_jvm/runit_sliceColSummary_iris.R +++ b/R/tests/testdir_single_jvm/runit_sliceColSummary_iris.R @@ -1,12 +1,11 @@ -source('../Utils/h2oR.R') +source('./findNSourceUtils.R') -Log.info("\n======================== Begin Test ===========================\n") +Log.info("======================== Begin Test ===========================\n") view_max <- 10000 #maximum returned by Inspect.java - test.slice.colSummary <- function(conn) { Log.info("Importing iris.csv data...\n") - iris.hex = h2o.importFile(conn, "../smalldata/iris/iris_wheader.csv", "iris.hex") + iris.hex = h2o.importFile(conn, locate("../smalldata/iris/iris_wheader.csv",schema = "local"), "iris.hex") Log.info("Check that summary works...") summary(iris.hex) @@ -23,12 +22,13 @@ test.slice.colSummary <- function(conn) { sepalLength <- iris.hex[,1] Log.info("Summary on the first column:\n") - expect_that(sepalLength, is_a("H2OParsedData2")) + expect_that(sepalLength, is_a("H2OParsedData")) - summary(sepalLength) - - tryCatch(summary(sepalLength), error = function(e) print(paste("Cannot perform summary: ",e))) - + print(summary(sepalLength)) + + Log.info("try mean") + m <- mean(sepalLength) + expect(m, equals(mean(iris$sepalLength))) Log.info("Try mean, min, max, and compare to actual:\n") stats_ <- list("mean"=mean(sepalLength), "min"=min(sepalLength), "max"=max(sepalLength)) stats <- list("mean"=mean(iris[,1]), "min"=min(iris[,1]), "max"=max(iris[,1])) @@ -39,13 +39,17 @@ test.slice.colSummary <- function(conn) { Log.info("H2O-R's mean, min, max: \n") Log.info(stats_) cat("\n") - tryCatch(expect_that(unlist(stats),equals(unlist(stats_))), error = function(e) e) + expect_that(unlist(stats),equals(unlist(stats_))) + #tryCatch(expect_that(unlist(stats),equals(unlist(stats_))), error = function(e) e) Log.info("Check standard deviation and variance: ") - tryCatch(sd(sepalLength),error = function(e) print(paste("Cannot perform standard deviation: ",e,sep=""))) + #tryCatch(sd(sepalLength),error = function(e) print(paste("Cannot perform standard deviation: ",e,sep=""))) Log.info("End of test.") + PASS <<- TRUE } +PASS <- FALSE conn <- new("H2OClient", ip=myIP, port=myPort) -tryCatch(test_that("sliceTestsColSummary", test.slice.colSummary(conn)), error = function(e) FAIL(e)) +tryCatch(test_that("sliceTestsColSummary", test.slice.colSummary(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) +if (!PASS) FAIL("Did not reach the end of test. Check Rsandbox/errors.log for warnings and errors.") PASS() diff --git a/R/tests/testdir_single_jvm/runit_sliceColTypes_iris.R b/R/tests/testdir_single_jvm/runit_sliceColTypes_iris.R index 2dce5638a5..55703cf70d 100644 --- a/R/tests/testdir_single_jvm/runit_sliceColTypes_iris.R +++ b/R/tests/testdir_single_jvm/runit_sliceColTypes_iris.R @@ -1,18 +1,19 @@ -source('../Utils/h2oR.R') +source('./findNSourceUtils.R') Log.info("======================== Begin Test ===========================\n") view_max <- 10000 #maximum returned by Inspect.java test.slice.colTypes <- function(conn) { Log.info("Importing iris.csv data...") - iris.hex = h2o.uploadFile.VA(conn, "../../../smalldata/iris/iris_wheader.csv", "iris.hex") + iris.hex = h2o.uploadFile(conn, locate("../../../smalldata/iris/iris_wheader.csv"), "iris.hex") Log.info("Check that summary works...") - summary(iris.hex) + print(summary(iris.hex)) summary_ <- summary(iris.hex) #keep the summary around iris_nrows <- nrow(iris.hex) iris_ncols <- ncol(iris.hex) + Log.info("Check that iris is 150x5") - Log.info("Got:\n",iris_nrows, iris_ncols) + Log.info(cat("Got:\n",iris_nrows, iris_ncols)) expect_that(iris_nrows, equals(150)) expect_that(iris_ncols, equals(5)) Log.info("Check the column data types: \nExpect 'double, double, double, double, integer'") @@ -22,7 +23,7 @@ test.slice.colTypes <- function(conn) { col3_type <- typeof(head(iris.hex[,3],nrow(iris.hex))[,1]) col4_type <- typeof(head(iris.hex[,4],nrow(iris.hex))[,1]) col5_type <- typeof(head(iris.hex[,5],nrow(iris.hex))[,1]) - Log.info("Got:\n",col1_type,col2_type,col3_type,col4_type,col5_type) + Log.info(cat("Got:\n",col1_type,col2_type,col3_type,col4_type,col5_type)) expect_that(col1_type, equals("double")) expect_that(col2_type, equals("double")) @@ -30,8 +31,11 @@ test.slice.colTypes <- function(conn) { expect_that(col4_type, equals("double")) expect_that(col5_type, equals("integer")) Log.info("End of test.") + PASSS <<- TRUE } +PASSS <- FALSE conn <- new("H2OClient", ip=myIP, port=myPort) -tryCatch(test_that("sliceTestsColTypes",test.slice.colTypes(conn)), error = function(e) FAIL(e)) +tryCatch(test_that("sliceTestsColTypes",test.slice.colTypes(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) +if (!PASSS) FAIL("Did not reach the end of test. Check Rsandbox/errors.log for warnings and errors.") PASS() diff --git a/R/tests/testdir_single_jvm/runit_summary2.R b/R/tests/testdir_single_jvm/runit_summary2.R index f68c82e49d..091be74b14 100644 --- a/R/tests/testdir_single_jvm/runit_summary2.R +++ b/R/tests/testdir_single_jvm/runit_summary2.R @@ -1,21 +1,23 @@ -source('../Utils/h2oR.R') +source('./findNSourceUtils.R') Log.info("======================== Begin Test ===========================") test.summary2 <- function(con) { Log.info("\nImporting iris.csv data...\n") - iris.hex <- h2o.importFile(con, "smalldata/iris/iris_wheader.csv") + iris.hex <- h2o.importFile(con, locate("smalldata/iris/iris_wheader.csv", schema="local")) Log.info("\nCheck that summary works...") print(summary(iris.hex)) Log.info("Summary from R's iris data: ") - #data(iris); print(summary(iris)) summary(iris) Log.info("End of test.") + PASSS <<- TRUE } conn <- new("H2OClient", ip=myIP, port=myPort) +PASSS <- FALSE tryCatch(test_that("summary2",test.summary2(conn)), error = function(e) FAIL(e)) +if (!PASSS) FAIL("Did not reach the end of test. Check Rsandbox/errors.log for warnings and errors.") PASS() diff --git a/R/tests/testdir_single_jvm/runit_summary_numeric.R b/R/tests/testdir_single_jvm/runit_summary_numeric.R index db78991047..772bf9fea1 100644 --- a/R/tests/testdir_single_jvm/runit_summary_numeric.R +++ b/R/tests/testdir_single_jvm/runit_summary_numeric.R @@ -1,11 +1,11 @@ -source('../Utils/h2oR.R') +source('./findNSourceUtils.R') -Log.info("\n======================== Begin Test ===========================\n") +Log.info("======================== Begin Test ===========================\n") view_max <- 10000 #maximum returned by Inspect.java test.summary.numeric <- function(conn) { - Log.info("\nImporting USArrests.csv data...\n") - arrests.hex <- h2o.importFile.VA(conn, "smalldata/pca_test/USArrests.csv", "arrests.hex") + Log.info("Importing USArrests.csv data...\n") + arrests.hex <- h2o.importFile.VA(conn, locate("smalldata/pca_test/USArrests.csv", schema = "local"), "arrests.hex") Log.info("\nCheck that summary works...") summary(arrests.hex) @@ -27,9 +27,11 @@ test.summary.numeric <- function(conn) { expect_that(summary(tail(arrests.hex)), equals(summary_2)) Log.info("End of test.") + PASSS <<- TRUE } conn <- new("H2OClient", ip=myIP, port=myPort) - +PASSS <- FALSE tryCatch(test_that("summaryTests",test.summary.numeric(conn)), error = function(e) FAIL(e)) +if (!PASSS) FAIL("Did not reach the end of test. Check Rsandbox/errors.log for warnings and errors.") PASS() diff --git a/R/tests/testdir_single_jvm/runit_tail_numeric.R b/R/tests/testdir_single_jvm/runit_tail_numeric.R index 6a9f2a115c..005ba2f5f9 100644 --- a/R/tests/testdir_single_jvm/runit_tail_numeric.R +++ b/R/tests/testdir_single_jvm/runit_tail_numeric.R @@ -7,7 +7,8 @@ # SEED: # task: ## -source('../Utils/h2oR.R') + +source('./findNSourceUtils.R') Log.info("======================== Begin Test ===========================") view_max <- 10000 #maximum returned by Inspect.java @@ -15,7 +16,7 @@ view_max <- 10000 #maximum returned by Inspect.java test.tail.numeric <- function(conn) { Log.info("Importing USArrests.csv data...") - arrests.hex = h2o.importFile.VA(conn, "smalldata/pca_test/USArrests.csv", "arrests.hex") + arrests.hex = h2o.importFile.VA(conn, locate("smalldata/pca_test/USArrests.csv", schema = "local"), "arrests.hex") Log.info("Check that tail works...") tail(arrests.hex) @@ -40,9 +41,12 @@ test.tail.numeric <- function(conn) { tail_max <- tail(arrests.hex,nrow(arrests.hex) + 1) } Log.info("End of test.") + PASSS <<- TRUE } conn <- new("H2OClient", ip=myIP, port=myPort) +PASSS <- FALSE +tryCatch(test_that("tailTests",test.tail.numeric(conn)), warning = function(w) WARN(w), error = function(e) FAIL(e)) -tryCatch(test_that("tailTests",test.tail.numeric(conn)), error = function(e) FAIL(e)) +if (!PASSS) FAIL("Did not reach the end of test. Check Rsandbox/errors.log for warnings and errors.") PASS()