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)
^~
Even the test `if hasattr(page, 'links')` would trigger this exception.
So I try the approach "Easier to Ask Forgiveness than Permission".
Weird stuff but well…
Note: I had this exception when running it on the Maltese data.
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.
