Hi all,
This is both a rant and desperate cry for help.
I'm trying to parse some TSV data (tab separated data file) with scilab
and I cannot find a way to navigate around the minefield of bugs present
in meof/mgetl/mgetstr/csvRead.
A bit of context: I need to load into scilab data generated by a closed
source software.
The data is in the form of many TSV files (that I cannot share in full,
just some redacted bits) with a header and a footer.
I don't want to hand modify these files or edit them in any way (I need
to keep this as portable as possible, so no sed/awk/grep...)
OPTION 1: csvRead
That's the most intuitive solution, however, because of
http://bugzilla.scilab.org/show_bug.cgi?id=16391 and the presence of
more than 1 empty line in my header/footer, this crashes Scilab.
OPTION 2: hand parsing line by line using mgetl/meof
I tried:
filename="tsv.txt";
[fd, err] = mopen(filename, 'rt');
while ~meof(fd) do
txtline=mgetl(fd,1);
end
mclose(fd)
Saddly, and contrary to what's written in "help mgetl", meof keeps on
returning 0, well passed the end of the file and the while never ends!
OPTION 3: hand parsing chunk by chunk using mgetstr/meof
"help meof" does not confirm that meof should work with mgetl, but
mgetstr is specifically listed.
I thus tried:
filename="tsv.txt";
[fd, err] = mopen(filename, 'rt');
while ~meof(fd) do
txtchunk=mgetstr(80,fd);
end
mclose(fd)
But thanks to http://bugzilla.scilab.org/show_bug.cgi?id=16419 this is
also crashing Scilab.
OPTION 4: Can anyone here help me with this?
I am really running out of ideas.
Did I miss some -hmm- obvious combination of available file parsing
scilab functions to achieve my goal?
I have the feeling that it would have been faster for me to just learn a
totally new language that does not suck at parsing files than trying to
get it to work with scilab....
Antoine
(depressed)
http://bugzilla.scilab.org/show_bug.cgi?id=16419
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