X-Git-Url: https://git.auder.net/?a=blobdiff_plain;f=epclust%2Ftests%2Ftestthat%2Ftest.de_serialize.R;h=25f2c2bf21f2061ee6aa2968cc6bf3b7b1866f5d;hb=37c82bbafbffc19e8b47a521952bac58f189e9ea;hp=a2fae5e6f500714c3da7fdf81d8b42485292f90d;hpb=4bcfdbee4e2157f232427a5bfdf240f34760110d;p=epclust.git diff --git a/epclust/tests/testthat/test.de_serialize.R b/epclust/tests/testthat/test.de_serialize.R index a2fae5e..25f2c2b 100644 --- a/epclust/tests/testthat/test.de_serialize.R +++ b/epclust/tests/testthat/test.de_serialize.R @@ -2,11 +2,11 @@ context("de_serialize") test_that("serialization + getDataInFile retrieve original data / from matrix", { - data_bin_file = "/tmp/epclust_test_m.bin" + data_bin_file = ".epclust_test_m.bin" unlink(data_bin_file) - #dataset 200 lignes / 30 columns - data_ascii = matrix(runif(200*30,-10,10),ncol=30) + #dataset 200 cols / 30 rows + data_ascii = matrix(runif(200*30,-10,10),nrow=30) nbytes = 4 #lead to a precision of 1e-7 / 1e-8 endian = "little" @@ -16,7 +16,7 @@ test_that("serialization + getDataInFile retrieve original data / from matrix", for (indices in list(c(1,3,5), 3:13, c(5,20,50), c(75,130:135), 196:200)) { data_lines = getDataInFile(indices, data_bin_file, nbytes, endian) - expect_equal(data_lines, data_ascii[indices,], tolerance=1e-6) + expect_equal(data_lines, data_ascii[,indices], tolerance=1e-6) } unlink(data_bin_file) @@ -27,17 +27,44 @@ test_that("serialization + getDataInFile retrieve original data / from matrix", for (indices in list(c(1,3,5), 3:13, c(5,20,50), c(75,130:135), 196:200)) { data_lines = getDataInFile(indices, data_bin_file, nbytes, endian) - expect_equal(data_lines, data_ascii[indices,], tolerance=1e-6) + expect_equal(data_lines, data_ascii[,indices], tolerance=1e-6) } unlink(data_bin_file) }) +test_that("serialization + transform + getDataInFile retrieve original transforms", +{ + data_bin_file = ".epclust_test_t.bin" + unlink(data_bin_file) + + #dataset 200 cols / 30 rows + data_ascii = matrix(runif(200*30,-10,10),nrow=30) + nbytes = 8 + endian = "little" + + binarize(data_ascii, data_bin_file, 500, ",", nbytes, endian) + # Serialize transformation (just compute range) into a new binary file + trans_bin_file = ".epclust_test_t_trans.bin" + unlink(trans_bin_file) + getSeries = function(inds) getDataInFile(inds, data_bin_file, nbytes, endian) + binarizeTransform(getSeries, function(series) apply(series, 2, range), + trans_bin_file, 250, nbytes, endian) + unlink(data_bin_file) + expect_equal(file.info(trans_bin_file)$size, 2*nrow(data_ascii)*nbytes+8) + for (indices in list(c(1,3,5), 3:13, c(5,20,50), c(75,130:135), 196:200)) + { + trans_cols = getDataInFile(indices, trans_bin_file, nbytes, endian) + expect_equal(trans_cols, apply(data_ascii[indices,],2,range), tolerance=1e-6) + } + unlink(trans_bin_file) +}) + test_that("serialization + getDataInFile retrieve original data / from connection", { - data_bin_file = "/tmp/epclust_test_c.bin" + data_bin_file = ".epclust_test_c.bin" unlink(data_bin_file) - #dataset 300 lignes / 50 columns + #dataset 300 cols / 50 rows data_csv = system.file("testdata","de_serialize.csv",package="epclust") nbytes = 8 endian = "big" @@ -49,8 +76,8 @@ test_that("serialization + getDataInFile retrieve original data / from connectio for (indices in list(c(1,3,5), 3:13, c(5,20,50), c(75,130:135), 196:200)) { #HACK: as.matrix(as.data.frame( )) required to match (ref) data structure - data_lines = as.matrix(as.data.frame( getDataInFile(indices,data_bin_file,nbytes,endian) )) - expect_equal(data_lines, data_ascii[indices,]) + data_cols = as.matrix(as.data.frame( getDataInFile(indices,data_bin_file,nbytes,endian) )) + expect_equal(data_cols, data_ascii[,indices]) } unlink(data_bin_file) @@ -60,8 +87,8 @@ test_that("serialization + getDataInFile retrieve original data / from connectio expect_equal(file.info(data_bin_file)$size, 300*50*8+8) for (indices in list(c(1,3,5), 3:13, c(5,20,50), c(75,130:135), 196:200)) { - data_lines = as.matrix(as.data.frame( getDataInFile(indices,data_bin_file,nbytes,endian) )) - expect_equal(data_lines, data_ascii[indices,]) + data_cols = as.matrix(as.data.frame( getDataInFile(indices,data_bin_file,nbytes,endian) )) + expect_equal(data_cols, data_ascii[,indices]) } unlink(data_bin_file) #close(data_con) --> done in binarize()