mirror of https://github.com/odrling/Aegisub
Bring universalchardet up to 41661:ea9bbf0ff87f (2010-03-13).
Originally committed to SVN as r4366.
This commit is contained in:
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6df5d97568
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@ -46,16 +46,13 @@
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#define SURE_YES 0.99f
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#define SURE_NO 0.01f
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#define MINIMUM_DATA_THRESHOLD 4
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//return confidence base on received data
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float CharDistributionAnalysis::GetConfidence(PRBool aIsPreferredLanguage)
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float CharDistributionAnalysis::GetConfidence(void)
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{
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//if we didn't receive any character in our consideration range, or the
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// number of frequent characters is below the minimum threshold, return
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// negative answer
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if (mTotalChars <= 0 ||
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!aIsPreferredLanguage && mFreqChars <= MINIMUM_DATA_THRESHOLD)
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if (mTotalChars <= 0 || mFreqChars <= mDataThreshold)
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return SURE_NO;
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if (mTotalChars != mFreqChars) {
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@ -42,10 +42,12 @@
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#define ENOUGH_DATA_THRESHOLD 1024
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#define MINIMUM_DATA_THRESHOLD 4
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class CharDistributionAnalysis
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{
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public:
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CharDistributionAnalysis() {Reset();}
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CharDistributionAnalysis() {Reset(PR_FALSE);}
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//feed a block of data and do distribution analysis
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void HandleData(const char* aBuf, PRUint32 aLen) {}
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@ -71,14 +73,15 @@ public:
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}
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//return confidence base on existing data
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float GetConfidence(PRBool aIsPreferredLanguage);
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float GetConfidence(void);
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//Reset analyser, clear any state
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void Reset(void)
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void Reset(PRBool aIsPreferredLanguage)
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{
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mDone = PR_FALSE;
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mTotalChars = 0;
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mFreqChars = 0;
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mDataThreshold = aIsPreferredLanguage ? 0 : MINIMUM_DATA_THRESHOLD;
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}
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//This function is for future extension. Caller can use this function to control
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@ -104,6 +107,9 @@ protected:
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//Total character encounted.
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PRUint32 mTotalChars;
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//Number of hi-byte characters needed to trigger detection
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PRUint32 mDataThreshold;
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//Mapping table to get frequency order from char order (get from GetOrder())
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const PRInt16 *mCharToFreqOrder;
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@ -170,7 +170,7 @@ void JapaneseContextAnalysis::HandleData(const char* aBuf, PRUint32 aLen)
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return;
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}
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void JapaneseContextAnalysis::Reset(void)
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void JapaneseContextAnalysis::Reset(PRBool aIsPreferredLanguage)
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{
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mTotalRel = 0;
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for (PRUint32 i = 0; i < NUM_OF_CATEGORY; i++)
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@ -178,13 +178,14 @@ void JapaneseContextAnalysis::Reset(void)
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mNeedToSkipCharNum = 0;
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mLastCharOrder = -1;
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mDone = PR_FALSE;
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mDataThreshold = aIsPreferredLanguage ? 0 : MINIMUM_DATA_THRESHOLD;
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}
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#define DONT_KNOW (float)-1
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float JapaneseContextAnalysis::GetConfidence(PRBool aIsPreferredLanguage)
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float JapaneseContextAnalysis::GetConfidence(void)
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{
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//This is just one way to calculate confidence. It works well for me.
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if (aIsPreferredLanguage || mTotalRel > MINIMUM_DATA_THRESHOLD)
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if (mTotalRel > mDataThreshold)
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return ((float)(mTotalRel - mRelSample[0]))/mTotalRel;
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else
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return (float)DONT_KNOW;
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@ -51,7 +51,7 @@ extern const PRUint8 jp2CharContext[83][83];
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class JapaneseContextAnalysis
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{
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public:
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JapaneseContextAnalysis() {Reset();}
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JapaneseContextAnalysis() {Reset(PR_FALSE);}
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void HandleData(const char* aBuf, PRUint32 aLen);
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@ -74,8 +74,8 @@ public:
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mLastCharOrder = order;
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}
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float GetConfidence(PRBool aIsPreferredLanguage);
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void Reset(void);
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float GetConfidence(void);
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void Reset(PRBool aIsPreferredLanguage);
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void SetOpion(){}
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PRBool GotEnoughData() {return mTotalRel > ENOUGH_REL_THRESHOLD;}
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@ -88,6 +88,9 @@ protected:
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//total sequence received
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PRUint32 mTotalRel;
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//Number of sequences needed to trigger detection
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PRUint32 mDataThreshold;
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//The order of previous char
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PRInt32 mLastCharOrder;
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@ -94,7 +94,7 @@ static const unsigned char win1251BulgarianCharToOrderMap[] =
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//first 1024 sequences:3.0618%
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//rest sequences: 0.2992%
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//negative sequences: 0.0020%
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static const char BulgarianLangModel[] =
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static const PRUint8 BulgarianLangModel[] =
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{
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0,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,2,3,3,3,3,3,3,3,3,2,3,3,3,3,3,
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3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,0,3,3,3,2,2,3,2,2,1,2,2,
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@ -167,7 +167,7 @@ static const unsigned char IBM866_CharToOrderMap[] =
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//first 1024 sequences: 2.3389%
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//rest sequences: 0.1237%
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//negative sequences: 0.0009%
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static const char RussianLangModel[] =
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static const PRUint8 RussianLangModel[] =
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{
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0,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,1,1,3,3,3,3,1,3,3,3,2,3,2,3,3,
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3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,0,3,2,2,2,2,2,0,0,2,
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@ -93,7 +93,7 @@ static const unsigned char win1253_CharToOrderMap[] =
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//first 1024 sequences:1.7001%
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//rest sequences: 0.0359%
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//negative sequences: 0.0148%
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static const char GreekLangModel[] =
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static const PRUint8 GreekLangModel[] =
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{
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0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
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0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
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@ -76,7 +76,7 @@ static const unsigned char win1255_CharToOrderMap[] =
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//first 1024 sequences: 1.5981%
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//rest sequences: 0.087%
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//negative sequences: 0.0015%
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static const char HebrewLangModel[] =
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static const PRUint8 HebrewLangModel[] =
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{
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0,3,3,3,3,3,3,3,3,3,3,2,3,3,3,3,3,3,3,3,3,3,3,2,3,2,1,2,0,1,0,0,
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3,0,3,1,0,0,1,3,2,0,1,1,2,0,2,2,2,1,1,1,1,2,1,1,1,2,0,0,2,2,0,1,
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@ -91,7 +91,7 @@ static const unsigned char win1250HungarianCharToOrderMap[] =
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//first 1024 sequences:5.2623%
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//rest sequences: 0.8894%
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//negative sequences: 0.0009%
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static const char HungarianLangModel[] =
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static const PRUint8 HungarianLangModel[] =
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{
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0,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,1,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,
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3,3,3,3,3,3,3,3,3,3,2,3,3,3,3,3,3,3,3,2,2,3,3,1,1,2,2,2,2,2,1,2,
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@ -78,7 +78,7 @@ static const unsigned char TIS620CharToOrderMap[] =
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//first 1024 sequences:7.3177%
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//rest sequences: 1.0230%
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//negative sequences: 0.0436%
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static const char ThaiLangModel[] =
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static const PRUint8 ThaiLangModel[] =
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{
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0,1,3,3,3,3,0,0,3,3,0,3,3,0,3,3,3,3,3,3,3,3,0,0,3,3,3,0,3,3,3,3,
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0,3,3,0,0,0,1,3,0,3,3,2,3,3,0,1,2,3,3,3,3,0,2,0,2,0,0,3,2,1,2,2,
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@ -41,7 +41,7 @@ void nsBig5Prober::Reset(void)
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{
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mCodingSM->Reset();
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mState = eDetecting;
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mDistributionAnalyser.Reset();
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mDistributionAnalyser.Reset(mIsPreferredLanguage);
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}
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nsProbingState nsBig5Prober::HandleData(const char* aBuf, PRUint32 aLen)
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float nsBig5Prober::GetConfidence(void)
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{
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float distribCf = mDistributionAnalyser.GetConfidence(mIsPreferredLanguage);
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float distribCf = mDistributionAnalyser.GetConfidence();
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return (float)distribCf;
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}
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@ -46,8 +46,8 @@ void nsEUCJPProber::Reset(void)
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{
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mCodingSM->Reset();
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mState = eDetecting;
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mContextAnalyser.Reset();
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mDistributionAnalyser.Reset();
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mContextAnalyser.Reset(mIsPreferredLanguage);
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mDistributionAnalyser.Reset(mIsPreferredLanguage);
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}
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nsProbingState nsEUCJPProber::HandleData(const char* aBuf, PRUint32 aLen)
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float nsEUCJPProber::GetConfidence(void)
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{
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float contxtCf = mContextAnalyser.GetConfidence(mIsPreferredLanguage);
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float distribCf = mDistributionAnalyser.GetConfidence(mIsPreferredLanguage);
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float contxtCf = mContextAnalyser.GetConfidence();
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float distribCf = mDistributionAnalyser.GetConfidence();
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return (contxtCf > distribCf ? contxtCf : distribCf);
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}
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@ -41,7 +41,7 @@ void nsEUCKRProber::Reset(void)
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{
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mCodingSM->Reset();
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mState = eDetecting;
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mDistributionAnalyser.Reset();
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mDistributionAnalyser.Reset(mIsPreferredLanguage);
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//mContextAnalyser.Reset();
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}
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float nsEUCKRProber::GetConfidence(void)
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{
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float distribCf = mDistributionAnalyser.GetConfidence(mIsPreferredLanguage);
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float distribCf = mDistributionAnalyser.GetConfidence();
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return (float)distribCf;
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}
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@ -41,7 +41,7 @@ void nsEUCTWProber::Reset(void)
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{
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mCodingSM->Reset();
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mState = eDetecting;
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mDistributionAnalyser.Reset();
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mDistributionAnalyser.Reset(mIsPreferredLanguage);
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//mContextAnalyser.Reset();
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}
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float nsEUCTWProber::GetConfidence(void)
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{
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float distribCf = mDistributionAnalyser.GetConfidence(mIsPreferredLanguage);
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float distribCf = mDistributionAnalyser.GetConfidence();
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return (float)distribCf;
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}
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@ -46,7 +46,7 @@ void nsGB18030Prober::Reset(void)
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{
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mCodingSM->Reset();
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mState = eDetecting;
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mDistributionAnalyser.Reset();
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mDistributionAnalyser.Reset(mIsPreferredLanguage);
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//mContextAnalyser.Reset();
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}
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@ -89,7 +89,7 @@ nsProbingState nsGB18030Prober::HandleData(const char* aBuf, PRUint32 aLen)
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float nsGB18030Prober::GetConfidence(void)
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{
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float distribCf = mDistributionAnalyser.GetConfidence(mIsPreferredLanguage);
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float distribCf = mDistributionAnalyser.GetConfidence();
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return (float)distribCf;
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}
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@ -52,7 +52,7 @@
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typedef struct
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{
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const unsigned char* const charToOrderMap; // [256] table use to find a char's order
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const char* const precedenceMatrix; // [SAMPLE_SIZE][SAMPLE_SIZE]; table to find a 2-char sequence's frequency
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const PRUint8* const precedenceMatrix; // [SAMPLE_SIZE][SAMPLE_SIZE]; table to find a 2-char sequence's frequency
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float mTypicalPositiveRatio; // = freqSeqs / totalSeqs
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PRBool keepEnglishLetter; // says if this script contains English characters (not implemented)
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const char* const charsetName;
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@ -46,8 +46,8 @@ void nsSJISProber::Reset(void)
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{
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mCodingSM->Reset();
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mState = eDetecting;
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mContextAnalyser.Reset();
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mDistributionAnalyser.Reset();
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mContextAnalyser.Reset(mIsPreferredLanguage);
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mDistributionAnalyser.Reset(mIsPreferredLanguage);
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}
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nsProbingState nsSJISProber::HandleData(const char* aBuf, PRUint32 aLen)
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float nsSJISProber::GetConfidence(void)
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{
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float contxtCf = mContextAnalyser.GetConfidence(mIsPreferredLanguage);
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float distribCf = mDistributionAnalyser.GetConfidence(mIsPreferredLanguage);
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float contxtCf = mContextAnalyser.GetConfidence();
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float distribCf = mDistributionAnalyser.GetConfidence();
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return (contxtCf > distribCf ? contxtCf : distribCf);
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}
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