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Implemented automatic detection of H3 files language/encoding
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@ -37,7 +37,7 @@
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},
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"encoding" : {
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"type" : "string",
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"default" : "CP1252"
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"default" : "auto"
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},
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"swipe" : {
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"type" : "boolean",
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@ -33,6 +33,8 @@ QString resolutionToString(const QSize & resolution)
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/// Note that it is possible to specify enconding manually in settings.json
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static const std::string knownEncodingsList[] = //TODO: remove hardcode
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{
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// Asks vcmi to automatically detect encoding
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"auto",
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// European Windows-125X encodings
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"CP1250", // West European, covers mostly Slavic languages that use latin script
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"CP1251", // Covers languages that use cyrillic scrypt
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@ -526,6 +526,11 @@
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</item>
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<item row="10" column="7" colspan="3">
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<widget class="QComboBox" name="comboBoxEncoding">
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<item>
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<property name="text">
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<string>Automatic detection</string>
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</property>
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</item>
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<item>
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<property name="text">
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<string>Central European (Windows 1250)</string>
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@ -106,7 +106,84 @@ bool Unicode::isValidString(const char * data, size_t size)
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static std::string getSelectedEncoding()
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{
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return settings["general"]["encoding"].String();
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auto explicitSetting = settings["general"]["encoding"].String();
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if (explicitSetting != "auto")
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return explicitSetting;
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return settings["session"]["encoding"].String();
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}
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/// Detects encoding of H3 text files based on matching against pregenerated footprints of H3 file
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/// Can also detect language of H3 install, however right now this is not necessary
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static void detectEncoding()
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{
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static const size_t knownCount = 6;
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// "footprints" of data collected from known versions of H3
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static const std::array<std::array<double, 16>, knownCount> knownFootprints =
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{ {
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{ { 0.0559, 0.0000, 0.1983, 0.0051, 0.0222, 0.0183, 0.4596, 0.2405, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000 } },
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{ { 0.0493, 0.0000, 0.1926, 0.0047, 0.0230, 0.0121, 0.4133, 0.2780, 0.0002, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0259, 0.0008 } },
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{ { 0.0534, 0.0000, 0.1705, 0.0047, 0.0418, 0.0208, 0.4775, 0.2191, 0.0001, 0.0000, 0.0000, 0.0000, 0.0000, 0.0005, 0.0036, 0.0080 } },
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{ { 0.0534, 0.0000, 0.1701, 0.0067, 0.0157, 0.0133, 0.4328, 0.2540, 0.0001, 0.0043, 0.0000, 0.0244, 0.0000, 0.0000, 0.0181, 0.0071 } },
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{ { 0.0548, 0.0000, 0.1744, 0.0061, 0.0031, 0.0009, 0.0046, 0.0136, 0.0000, 0.0004, 0.0000, 0.0000, 0.0227, 0.0061, 0.4882, 0.2252 } },
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{ { 0.0559, 0.0000, 0.1807, 0.0059, 0.0036, 0.0013, 0.0046, 0.0134, 0.0000, 0.0004, 0.0000, 0.0487, 0.0209, 0.0060, 0.4615, 0.1972 } }
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} };
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// languages of known footprints
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static const std::array<std::string, knownCount> knownLanguages =
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{ {
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"English", "French", "German", "Polish", "Russian", "Ukrainian"
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} };
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// encoding that should be used for known footprints
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static const std::array<std::string, knownCount> knownEncodings =
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{ {
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"CP1252", "CP1252", "CP1252", "CP1250", "CP1251", "CP1251"
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} };
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// load file that will be used for footprint generation
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// this is one of the most text-heavy files in game and consists solely from translated texts
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auto resource = CResourceHandler::get()->load(ResourceID("DATA/GENRLTXT.TXT", EResType::TEXT));
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std::array<size_t, 256> charCount;
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std::array<double, 16> footprint;
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std::array<double, knownCount> deviations;
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boost::range::fill(charCount, 0);
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boost::range::fill(footprint, 0.0);
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boost::range::fill(deviations, 0.0);
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auto data = resource->readAll();
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// compute how often each character occurs in input file
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for (size_t i = 0; i < data.second; ++i)
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charCount[data.first[i]] += 1;
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// and convert computed data into weights
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// to reduce amount of data, group footprint data into 16-char blocks.
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// While this will reduce precision, it should not affect output
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// since we expect only tiny differences compared to reference footprints
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for (size_t i = 0; i < 256; ++i)
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footprint[i/16] += double(charCount[i]) / data.second;
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logGlobal->debug("Language footprint: %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f",
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footprint[0], footprint[1], footprint[2], footprint[3], footprint[4], footprint[5], footprint[6], footprint[7],
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footprint[8], footprint[9], footprint[10], footprint[11], footprint[12], footprint[13], footprint[14], footprint[15]
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);
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for (size_t i = 0; i < deviations.size(); ++i)
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{
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for (size_t j = 0; j < footprint.size(); ++j)
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deviations[i] += std::abs((footprint[j] - knownFootprints[i][j]));
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}
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size_t bestIndex = boost::range::min_element(deviations) - deviations.begin();
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for (size_t i = 0; i < deviations.size(); ++i)
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logGlobal->debug("Comparing to %s: %f", knownLanguages[i], deviations[i]);
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Settings s = settings.write["session"]["encoding"];
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s->String() = knownEncodings[bestIndex];
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}
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std::string Unicode::toUnicode(const std::string &text)
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@ -364,6 +441,9 @@ CGeneralTextHandler::CGeneralTextHandler():
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znpc00 (*this, "vcmi.znpc00" ), // technically - wog
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qeModCommands (*this, "vcmi.quickExchange" )
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{
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if (getSelectedEncoding().empty())
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detectEncoding();
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readToVector("core.vcdesc", "DATA/VCDESC.TXT" );
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readToVector("core.lcdesc", "DATA/LCDESC.TXT" );
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readToVector("core.tcommand", "DATA/TCOMMAND.TXT" );
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