X-Git-Url: https://git.auder.net/?a=blobdiff_plain;f=epclust%2Ftests%2Ftestthat%2Ftest.de_serialize.R;fp=epclust%2Ftests%2Ftestthat%2Ftest.de_serialize.R;h=0000000000000000000000000000000000000000;hb=40f12a2f66d06fd77183ea02b996f5c66f90761c;hp=8fb78edbae791f1d908a87877049942a6ac61f20;hpb=a52836b23adb4bfa6722642ec6426fb7b5f39650;p=epclust.git

diff --git a/epclust/tests/testthat/test.de_serialize.R b/epclust/tests/testthat/test.de_serialize.R
deleted file mode 100644
index 8fb78ed..0000000
--- a/epclust/tests/testthat/test.de_serialize.R
+++ /dev/null
@@ -1,97 +0,0 @@
-context("de_serialize")
-
-test_that("serialization + getDataInFile retrieve original data / from matrix",
-{
-	data_bin_file = ".epclust_test_m.bin"
-	unlink(data_bin_file)
-
-	# 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"
-
-	# Simulate serialization in one single call
-	binarize(data_ascii, data_bin_file, 500, ",", nbytes, endian)
-	expect_equal(file.info(data_bin_file)$size, length(data_ascii)*nbytes+8)
-	for (indices in list(c(1,3,5), 3:13, c(5,20,50), c(75,130:135), 196:200))
-	{
-		data_lines = getDataInFile(indices, data_bin_file, nbytes, endian)
-		expect_equal(data_lines, data_ascii[,indices], tolerance=1e-6)
-	}
-	unlink(data_bin_file)
-
-	# Serialization in several calls (last call complete, next call NULL)
-	for (i in 1:20)
-		binarize(data_ascii[,((i-1)*10+1):(i*10)], data_bin_file, 20, ",", nbytes, endian)
-	expect_equal(file.info(data_bin_file)$size, length(data_ascii)*nbytes+8)
-	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)
-	}
-	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)$size, 2*ncol(data_ascii)*nbytes+8)
-	for (indices in list(c(1,3,5), 3:13, c(5,20,50), c(75,130:135), 196:200))
-	{
-		trans_cols = getDataInFile(indices, trans_bin_file, nbytes, endian)
-		expect_equal(trans_cols, apply(data_ascii[,indices],2,range), tolerance=1e-6)
-	}
-	unlink(trans_bin_file)
-})
-
-test_that("serialization + getDataInFile retrieve original data / from connection",
-{
-	data_bin_file = ".epclust_test_c.bin"
-	unlink(data_bin_file)
-
-	# Dataset 300 cols / 50 rows
-	data_csv = system.file("testdata","de_serialize.csv",package="epclust")
-	nbytes = 8
-	endian = "big"
-	data_ascii = t( as.matrix(read.table(data_csv, sep=";", header=FALSE)) ) #for ref
-
-	# Simulate serialization in one single call
-	binarize(data_csv, data_bin_file, 350, ";", nbytes, endian)
-	expect_equal(file.info(data_bin_file)$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_cols = getDataInFile(indices,data_bin_file,nbytes,endian)
-		#HACK: rows naming required to match (ref) data structure
-		rownames(data_cols) <- paste("V",seq_len(nrow(data_ascii)), sep="")
-		expect_equal(data_cols, data_ascii[,indices])
-	}
-	unlink(data_bin_file)
-
-	# Serialization in several calls / chunks of 29 --> 29*10 + 10, incomplete last
-	data_con = file(data_csv, "r")
-	binarize(data_con, data_bin_file, 29, ";", nbytes, endian)
-	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_cols = getDataInFile(indices,data_bin_file,nbytes,endian)
-		rownames(data_cols) <- paste("V",seq_len(nrow(data_ascii)), sep="")
-		expect_equal(data_cols, data_ascii[,indices])
-	}
-	unlink(data_bin_file)
-	#close(data_con) --> done in binarize()
-})