Replace FLOAT32 by float data type

On most systems float is the IEEE 754 single-precision binary
floating-point format (32 bits). Tesseract does not support other systems.

Signed-off-by: Stefan Weil <sw@weilnetz.de>

src/ccutil/host.h

@@ -31,7 +31,6 @@
 #include <cstdint>    // int32_t, ...
 
 // definitions of portable data types (numbers and characters)
-using FLOAT32 = float;
 using BOOL8 = unsigned char;
 
 #if defined(_WIN32)

src/classify/adaptmatch.cpp

@@ -43,7 +43,7 @@
 #include "fontinfo.h"           // for ScoredFont, FontSet
 #include "genericvector.h"      // for GenericVector
 #include "helpers.h"            // for IntCastRounded, ClipToRange
-#include "host.h"               // for FLOAT32, FALSE, TRUE
+#include "host.h"               // for FALSE, TRUE
 #include "intfx.h"              // for BlobToTrainingSample, INT_FX_RESULT_S...
 #include "intmatcher.h"         // for CP_RESULT_STRUCT, IntegerMatcher
 #include "intproto.h"           // for INT_FEATURE_STRUCT, (anonymous), Clas...
@@ -95,7 +95,7 @@ struct ADAPT_RESULTS {
   bool HasNonfragment;
   UNICHAR_ID best_unichar_id;
   int best_match_index;
-  FLOAT32 best_rating;
+  float best_rating;
   GenericVector<UnicharRating> match;
   GenericVector<CP_RESULT_STRUCT> CPResults;
 
@@ -155,11 +155,11 @@ static float ScoredUnichar(UNICHAR_ID id, const ADAPT_RESULTS& results) {
   return results.match[index].rating;
 }
 
-void InitMatcherRatings(FLOAT32 *Rating);
+void InitMatcherRatings(float *Rating);
 
 int MakeTempProtoPerm(void *item1, void *item2);
 
-void SetAdaptiveThreshold(FLOAT32 Threshold);
+void SetAdaptiveThreshold(float Threshold);
 
 
 /*-----------------------------------------------------------------------------
@@ -879,7 +879,7 @@ bool Classify::AdaptableWord(WERD_RES* word) {
  * @note History: Thu Mar 14 09:36:03 1991, DSJ, Created.
  */
 void Classify::AdaptToChar(TBLOB* Blob, CLASS_ID ClassId, int FontinfoId,
-                           FLOAT32 Threshold,
+                           float Threshold,
                            ADAPT_TEMPLATES adaptive_templates) {
   int NumFeatures;
   INT_FEATURE_ARRAY IntFeatures;
@@ -1456,8 +1456,8 @@ void Classify::ConvertMatchesToChoices(const DENORM& denorm, const TBOX& box,
                                        ADAPT_RESULTS *Results,
                                        BLOB_CHOICE_LIST *Choices) {
   assert(Choices != nullptr);
-  FLOAT32 Rating;
-  FLOAT32 Certainty;
+  float Rating;
+  float Certainty;
   BLOB_CHOICE_IT temp_it;
   bool contains_nonfrag = false;
   temp_it.set_to_list(Choices);
@@ -1893,9 +1893,9 @@ PROTO_ID Classify::MakeNewTempProtos(FEATURE_SET Features,
   TEMP_PROTO TempProto;
   PROTO Proto;
   FEATURE F1, F2;
-  FLOAT32 X1, X2, Y1, Y2;
-  FLOAT32 A1, A2, AngleDelta;
-  FLOAT32 SegmentLength;
+  float X1, X2, Y1, Y2;
+  float A1, A2, AngleDelta;
+  float SegmentLength;
   PROTO_ID Pid;
 
   for (ProtoStart = BadFeat, LastBad = ProtoStart + NumBadFeat;
@@ -2093,7 +2093,7 @@ void Classify::PrintAdaptiveMatchResults(const ADAPT_RESULTS& results) {
  */
 void Classify::RemoveBadMatches(ADAPT_RESULTS *Results) {
   int Next, NextGood;
-  FLOAT32 BadMatchThreshold;
+  float BadMatchThreshold;
   static const char* romans = "i v x I V X";
   BadMatchThreshold = Results->best_rating - matcher_bad_match_pad;
 
@@ -2204,7 +2204,7 @@ void Classify::RemoveExtraPuncs(ADAPT_RESULTS *Results) {
  * @note Exceptions: none
  * @note History: Tue Apr  9 08:33:13 1991, DSJ, Created.
  */
-void Classify::SetAdaptiveThreshold(FLOAT32 Threshold) {
+void Classify::SetAdaptiveThreshold(float Threshold) {
   Threshold = (Threshold == matcher_good_threshold) ? 0.9: (1.0 - Threshold);
   classify_adapt_proto_threshold.set_value(
       ClipToRange<int>(255 * Threshold, 0, 255));

src/classify/classify.h

@@ -107,8 +107,8 @@ class Classify : public CCStruct {
   void WriteAdaptedTemplates(FILE *File, ADAPT_TEMPLATES Templates);
   ADAPT_TEMPLATES ReadAdaptedTemplates(TFile* File);
   /* normmatch.cpp ************************************************************/
-  FLOAT32 ComputeNormMatch(CLASS_ID ClassId,
-                           const FEATURE_STRUCT& feature, bool DebugMatch);
+  float ComputeNormMatch(CLASS_ID ClassId,
+                         const FEATURE_STRUCT& feature, bool DebugMatch);
   void FreeNormProtos();
   NORM_PROTOS* ReadNormProtos(TFile* fp);
   /* protos.cpp ***************************************************************/
@@ -213,7 +213,7 @@ class Classify : public CCStruct {
   void PrintAdaptiveMatchResults(const ADAPT_RESULTS& results);
   void RemoveExtraPuncs(ADAPT_RESULTS *Results);
   void RemoveBadMatches(ADAPT_RESULTS *Results);
-  void SetAdaptiveThreshold(FLOAT32 Threshold);
+  void SetAdaptiveThreshold(float Threshold);
   void ShowBestMatchFor(int shape_id,
                         const INT_FEATURE_STRUCT* features,
                         int num_features);
@@ -252,7 +252,7 @@ class Classify : public CCStruct {
   UNICHAR_ID *GetAmbiguities(TBLOB *Blob, CLASS_ID CorrectClass);
   void DoAdaptiveMatch(TBLOB *Blob, ADAPT_RESULTS *Results);
   void AdaptToChar(TBLOB* Blob, CLASS_ID ClassId, int FontinfoId,
-                   FLOAT32 Threshold, ADAPT_TEMPLATES adaptive_templates);
+                   float Threshold, ADAPT_TEMPLATES adaptive_templates);
   void DisplayAdaptedChar(TBLOB* blob, INT_CLASS_STRUCT* int_class);
   bool AdaptableWord(WERD_RES* word);
   void EndAdaptiveClassifier();
@@ -350,7 +350,7 @@ class Classify : public CCStruct {
     return fontset_table_;
   }
   /* mfoutline.cpp ***********************************************************/
-  void NormalizeOutlines(LIST Outlines, FLOAT32 *XScale, FLOAT32 *YScale);
+  void NormalizeOutlines(LIST Outlines, float *XScale, float *YScale);
   /* outfeat.cpp ***********************************************************/
   FEATURE_SET ExtractOutlineFeatures(TBLOB *Blob);
   /* picofeat.cpp ***********************************************************/