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"
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)
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 = "/tmp/epclust_test_t.bin"
+ data_bin_file = ".epclust_test_t.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 = 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 = "/tmp/epclust_test_t_trans.bin"
+ 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) t(apply(series, 1, range)),
+ 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)$size, 2*nrow(data_ascii)*nbytes+8)
for (indices in list(c(1,3,5), 3:13, c(5,20,50), c(75,130:135), 196:200))
{
- trans_lines = getDataInFile(indices, trans_bin_file, nbytes, endian)
- expect_equal(trans_lines, t(apply(data_ascii[indices,],1,range)), tolerance=1e-6)
+ trans_cols = getDataInFile(indices, trans_bin_file, nbytes, endian)
+ expect_equal(trans_cols, apply(data_ascii[indices,],2,range), tolerance=1e-6)
}
unlink(trans_bin_file)
})
test_that("serialization + getDataInFile retrieve original data / from connection",
{
- data_bin_file = "/tmp/epclust_test_c.bin"
+ data_bin_file = ".epclust_test_c.bin"
unlink(data_bin_file)
- #dataset 300 lignes / 50 columns
+ #dataset 300 cols / 50 rows
data_csv = system.file("testdata","de_serialize.csv",package="epclust")
nbytes = 8
endian = "big"
for (indices in list(c(1,3,5), 3:13, c(5,20,50), c(75,130:135), 196:200))
{
#HACK: as.matrix(as.data.frame( )) required to match (ref) data structure
- data_lines = as.matrix(as.data.frame( getDataInFile(indices,data_bin_file,nbytes,endian) ))
- expect_equal(data_lines, data_ascii[indices,])
+ data_cols = as.matrix(as.data.frame( getDataInFile(indices,data_bin_file,nbytes,endian) ))
+ expect_equal(data_cols, data_ascii[,indices])
}
unlink(data_bin_file)
expect_equal(file.info(data_bin_file)$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()