diff --git a/mozilla/mailnews/extensions/bayesian-spam-filter/src/nsBayesianFilter.cpp b/mozilla/mailnews/extensions/bayesian-spam-filter/src/nsBayesianFilter.cpp index 034fa6e3701..17f45940bb6 100644 --- a/mozilla/mailnews/extensions/bayesian-spam-filter/src/nsBayesianFilter.cpp +++ b/mozilla/mailnews/extensions/bayesian-spam-filter/src/nsBayesianFilter.cpp @@ -1,4 +1,4 @@ -/* -*- Mode: C++; tab-width: 2; indent-tabs-mode: nil; c-basic-offset: 2 -*- */ +/* -*- Mode: C++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */ /* ***** BEGIN LICENSE BLOCK ***** * Version: NPL 1.1/GPL 2.0/LGPL 2.1 * @@ -448,10 +448,10 @@ void nsBayesianFilter::classifyMessage(Tokenizer& messageTokens, const char* mes double prob = (prod1 / (prod1 + prod2)); bool isJunk = (prob >= 0.90); - if (listener) - listener->OnMessageClassified(messageURL, isJunk ? nsIJunkMailPlugin::JUNK : nsIJunkMailPlugin::GOOD); - delete[] tokens; + + if (listener) + listener->OnMessageClassified(messageURL, isJunk ? PRInt32(nsIJunkMailPlugin::JUNK) : PRInt32(nsIJunkMailPlugin::GOOD)); } /* void shutdown (); */ @@ -498,9 +498,11 @@ NS_IMETHODIMP nsBayesianFilter::ClassifyMessages(PRUint32 aCount, const char **a class MessageObserver : public TokenAnalyzer { public: - MessageObserver(nsBayesianFilter* filter, PRInt32 oldClassification, PRInt32 newClassification, nsIJunkMailClassificationListener* listener) - : mFilter(filter), mSupports(filter), mOldClassification(oldClassification), - mNewClassification(newClassification), mListener(listener) + MessageObserver(nsBayesianFilter* filter, PRInt32 oldClassification, PRInt32 newClassification, + nsIJunkMailClassificationListener* listener) + : mFilter(filter), mSupports(filter), mListener(listener), + mOldClassification(oldClassification), + mNewClassification(newClassification) { } @@ -676,7 +678,7 @@ static bool readTokens(FILE* stream, Tokenizer& tokenizer) return true; } -static const char kMagicCookie[] = { 0xFE, 0xED, 0xFA, 0xCE }; +static const char kMagicCookie[] = { '\xFE', '\xED', '\xFA', '\xCE' }; void nsBayesianFilter::writeTrainingData() {