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authortpearson <tpearson@283d02a7-25f6-0310-bc7c-ecb5cbfe19da>2010-07-31 19:51:49 +0000
committertpearson <tpearson@283d02a7-25f6-0310-bc7c-ecb5cbfe19da>2010-07-31 19:51:49 +0000
commit4ae0c208b66e0f7954e194384464fe2d0a2c56dd (patch)
treeb0a7cd1c184f0003c0292eb416ed27f674f9cc43 /kbabel/common/stringdistance.cpp
parent1964ea0fb4ab57493ca2ebb709c8d3b5395fd653 (diff)
downloadtdesdk-4ae0c208b66e0f7954e194384464fe2d0a2c56dd.tar.gz
tdesdk-4ae0c208b66e0f7954e194384464fe2d0a2c56dd.zip
Trinity Qt initial conversion
git-svn-id: svn://anonsvn.kde.org/home/kde/branches/trinity/kdesdk@1157652 283d02a7-25f6-0310-bc7c-ecb5cbfe19da
Diffstat (limited to 'kbabel/common/stringdistance.cpp')
-rw-r--r--kbabel/common/stringdistance.cpp10
1 files changed, 5 insertions, 5 deletions
diff --git a/kbabel/common/stringdistance.cpp b/kbabel/common/stringdistance.cpp
index 32cb9b96..8de11c98 100644
--- a/kbabel/common/stringdistance.cpp
+++ b/kbabel/common/stringdistance.cpp
@@ -46,7 +46,7 @@ const int LevenshteinDistance::editCost_insert = 1;
const int LevenshteinDistance::editCost_delete = 1;
-double relativeDistance(double distance, const QString& left_string, const QString& right_string)
+double relativeDistance(double distance, const TQString& left_string, const TQString& right_string)
{
double maxsize=0;
double compsize=0;
@@ -63,7 +63,7 @@ double relativeDistance(double distance, const QString& left_string, const QStri
* This function sums all the distances between all trees.
* For the calculation of the distance between two trees, it calls the function calculate.
*/
-double Distance::operator()(const QString& left_string, const QString& right_string)
+double Distance::operator()(const TQString& left_string, const TQString& right_string)
{
m_distance = 0.00;
if (left_string == right_string)
@@ -86,7 +86,7 @@ double Distance::operator()(const QString& left_string, const QString& right_str
/** This function calculates the distance between two nodes.
* For the calculation you can specify two variables gap & distance.
*/
-int Distance::nodeDistance(const QString& left_letter, const QString& right_letter)
+int Distance::nodeDistance(const TQString& left_letter, const TQString& right_letter)
{
if ( left_letter == right_letter )
{
@@ -105,7 +105,7 @@ int Distance::nodeDistance(const QString& left_letter, const QString& right_lett
* This function sums all the distances between all nodes.
* For the calculation you can specify the distance between two nodes in variable distance
*/
-double HammingDistance::calculate(const QString& left_string, const QString& right_string)
+double HammingDistance::calculate(const TQString& left_string, const TQString& right_string)
{
double hammingDistance = 0.00;
// if (debug > 0)
@@ -135,7 +135,7 @@ double HammingDistance::calculate(const QString& left_string, const QString& rig
* A matrice D is generated which represent the distribution of distances between two trees.
* The last element represent the Levenshtein-distance.
*/
-double LevenshteinDistance::calculate(const QString& left_string, const QString& right_string)
+double LevenshteinDistance::calculate(const TQString& left_string, const TQString& right_string)
{
// if (debug > 0)
// cout << left_string.length() << " " << right_string.length() << "\t";