Encodings: ISO-8859-4, ISO-8859-13, ISO-8859-13, Windows-1252 and
Windows-1257.
Test text from https://et.wikipedia.org/wiki/Anton_Tšehhov
Windows-1257 and ISO-8859-13 are very close so I added quotation marks
(Jutumärgid) which are on codepoints only present in ISO-8859-13,
making both encoding apart.
Officially supported: ISO-8859-1, ISO-8859-3, ISO-8859-9, ISO-8859-15
and WINDOWS-1252. Same as Finnish only ISO-8859-1 and UTF-8 test added
since other encoding end up similar as ISO-8859-1 for most common texts
(i.e. glyphs used in Italian are on the same codepoints on these other
encodings).
Test text from https://it.wikipedia.org/wiki/Architettura_longobarda
I built models for ISO-8859-1, ISO-8859-4, ISO-8859-9, ISO-8859-13,
ISO-8859-15 and WINDOWS-1252, which all contain Finnish letters.
Nevertheless most texts in these encoding end up the same (same
codepoints for the Finnish glyphs) so I keep only tests for ISO-8859-1
and UTF-8. Models for other encoding may still be useful when processing
texts with some symbols, etc.
Encodings are the same as Czech (Windows-1250, ISO-8859-2 and
Mac-CentralEurope) since the resource I found indicate they used the
same encodings historically.
Also it is to be noted that the test examples' encoding were already
properly detected through Czech's models so the languages are definitely
very close, even statistically. Nevertheless adding the right models
will work better and these get better scores. This will take all its
meaning when uchardet will also be used as a language detector (in some
not-too-far future, hopefully!).
Test text taken from: https://sk.wikipedia.org/wiki/Jupiter
Encodings: Windows-1250, ISO-8859-2, IBM852 and Mac-CentralEurope.
Other encodings are known to have been used for Czech: Kamenicky,
KOI-8 CS2 and Cork. But these are uncommon enough that I decided not
to support them (especially since I can't find them supported in iconv
either, or at least not under an alias which I could recognize).
This web page, which contents was made under the Public Domain, is a
good reference for encodings which were used historically for Czech and
Slovak: http://luki.sdf-eu.org/txt/cs-encodings-faq.html
Not sure if this is useful to have the 'if (mDetectedCharset)' outside
the if block, but it won't hurt for sure in this specific case, so I
leave the current code logics as is.
The exact warning was:
nsUniversalDetector.cpp: In member function ‘virtual nsresult nsUniversalDetector::HandleData(const char*, PRUint32)’:
nsUniversalDetector.cpp:115:5: warning: this ‘if’ clause does not guard... [-Wmisleading-indentation]
if (aLen > 2)
^~
nsUniversalDetector.cpp:157:7: note: ...this statement, but the latter is misleadingly indented as if it is guarded by the ‘if’
if (mDetectedCharset)
^~
Just realizing that these 2 language can also be encoded with these
charsets (even though ISO-8859-13 would appear to be more common…
maybe?). Anyway now the models are updated and can recognize texts
using these encoding for these languages.
Added some test files as well, which work great.
I actually added also couples with ISO-8859-9, ISO-8859-15 and
Windows-1252. Nevertheless there are no differences on the main
characters related to Portuguese so differences will hardly be made
and detection will usually return ISO-8859-1 only.
"UHC" is the "Unified Hangul Code" (aka Windows-949 or CP949). It is
apparently "mostly" upward compatible with EUC-KR so returning UHC for
a strict EUC-KR document is usually not to be considered wrong.
Yet I can read that EUC-KR has its own way of representing hangul
syllables not available in precomposed form, and this is not supported
in UHC (since this latter has all possible precomposed syllables), hence
the "mostly" upward-compatibility.
My personal daily experience with Korean documents though is that I
encounter a lot of UHC-encoded files, probably because of predominance
of Microsoft operating systems, which spread this encoding.
So until we get 2 separate detection machines, let's just return EUC-KR
files as being "UHC".
I did this to improve the model after a user reported a Greek sutitle
badly detected (see commit e0eec3b).
It didn't help, but well... since I updated it with much more data from
Wikipedia. Let's just commit it!
Up to now, we were only considering positive sequences, which are
sequences of 2 characters which happen the most. Yet our data gather
4 categories of sequences (the last one being called "negative", since
they never happened in our data).
I will call the category below positive: probable sequences. They may
happen, yet not often. The last category could be called "neutral".
This seems to fix the detection of a user's subtitle example without
breaking any of our current unit tests.
Probably I should still review this whole logics more in details later.
This way it always shows up in ccmake, even if not defined.
A string is used instead of path because I personally think it makes more
sense in the following use-cases:
STRING:
-DCMAKE_INSTALL_PREFIX=/home/user -DCMAKE_INSTALL_BINDIR=bins
installs everything to /home/user/{lib,etc,share,(...)} and executables to
${CMAKE_INSTALL_PREFIX}/bins
-DCMAKE_INSTALL_PREFIX=/home/user -DCMAKE_INSTALL_BINDIR=/opt/bin
everything to /home/user/{lib,etc,share,(...)} and executables to
/opt/bin
PATH:
-DCMAKE_INSTALL_PREFIX=/home/user -DCMAKE_INSTALL_BINDIR=bins
everything to /home/user/{lib,etc,share,(...)} and executables to
$(pwd)/bins (!)
-DCMAKE_INSTALL_PREFIX=/home/user -DCMAKE_INSTALL_BINDIR=/opt/bin
same as STRING
I was planning on adding VISCII support as well, but Python encode()
method does not have any support for it apparently, so I cannot generate
the proper statistics data with the current version of the string.
There is no "exception" in encoding. The non-breaking space 0xA0 is not
ASCII, and therefore returning "ASCII" will later create issues (for
instance trying to re-encode with iconv produces an error).
This was obviously an explicit decision in original code (according to
code comments), probably tied to specifity of the original program from
Mozilla. Now we want strict detection.
I will return "ISO-8859-1" for "nearly-ASCII texts with NBSP as only
exception" (note that I could have returned any ISO-8859 charsets since
they all have this character in common).
