Merge pull request #494 from stweil/free

Simplify delete / free usage

api/baseapi.cpp

@@ -830,8 +830,7 @@ int TessBaseAPI::Recognize(ETEXT_DESC* monitor) {
     return -1;
   if (FindLines() != 0)
     return -1;
-  if (page_res_ != NULL)
-    delete page_res_;
+  delete page_res_;
   if (block_list_->empty()) {
     page_res_ = new PAGE_RES(false, block_list_,
                              &tesseract_->prev_word_best_choice_);

api/baseapi.h

@@ -373,8 +373,7 @@ class TESS_API TessBaseAPI {
    * delete it when it it is replaced or the API is destructed.
    */
   void SetThresholder(ImageThresholder* thresholder) {
-    if (thresholder_ != NULL)
-      delete thresholder_;
+    delete thresholder_;
     thresholder_ = thresholder;
     ClearResults();
   }

ccmain/pageiterator.cpp

@@ -87,7 +87,7 @@ const PageIterator& PageIterator::operator=(const PageIterator& src) {
   rect_top_ = src.rect_top_;
   rect_width_ = src.rect_width_;
   rect_height_ = src.rect_height_;
-  if (it_ != NULL) delete it_;
+  delete it_;
   it_ = new PAGE_RES_IT(*src.it_);
   BeginWord(src.blob_index_);
   return *this;
@@ -597,10 +597,8 @@ void PageIterator::BeginWord(int offset) {
     }
     word_ = NULL;
     // We will be iterating the box_word.
-    if (cblob_it_ != NULL) {
-      delete cblob_it_;
-      cblob_it_ = NULL;
-    }
+    delete cblob_it_;
+    cblob_it_ = NULL;
   } else {
     // No recognition yet, so a "symbol" is a cblob.
     word_ = word_res->word;

ccmain/pgedit.cpp

@@ -191,7 +191,7 @@ ScrollView* bln_word_window_handle() {  // return handle
  */
 
 void build_image_window(int width, int height) {
-  if (image_win != NULL) { delete image_win; }
+  delete image_win;
   image_win = new ScrollView(editor_image_win_name.string(),
                              editor_image_xpos, editor_image_ypos,
                              width + 1,

ccstruct/pdblock.h

@@ -51,7 +51,7 @@ class PDBLK {
 
   /// destructor
   ~PDBLK() {
-    if (hand_poly) delete hand_poly;
+    delete hand_poly;
   }
 
   POLY_BLOCK *poly_block() const { return hand_poly; }

ccutil/hashfn.h

@@ -63,7 +63,7 @@ template<class T> class SmartPtr {
     return ptr_;
   }
   void reset(T* ptr) {
-    if (ptr_ != NULL) delete ptr_;
+    delete ptr_;
     ptr_ = ptr;
   }
   bool operator==(const T* ptr) const {

classify/trainingsample.cpp

@@ -209,7 +209,7 @@ void TrainingSample::ExtractCharDesc(int int_feature_type,
                                      int geo_type,
                                      CHAR_DESC_STRUCT* char_desc) {
   // Extract the INT features.
-  if (features_ != NULL) delete [] features_;
+  delete [] features_;
   FEATURE_SET_STRUCT* char_features = char_desc->FeatureSets[int_feature_type];
   if (char_features == NULL) {
     tprintf("Error: no features to train on of type %s\n",
@@ -230,7 +230,7 @@ void TrainingSample::ExtractCharDesc(int int_feature_type,
     }
   }
   // Extract the Micro features.
-  if (micro_features_ != NULL) delete [] micro_features_;
+  delete [] micro_features_;
   char_features = char_desc->FeatureSets[micro_type];
   if (char_features == NULL) {
     tprintf("Error: no features to train on of type %s\n",

classify/trainingsampleset.cpp

@@ -96,10 +96,8 @@ bool TrainingSampleSet::DeSerialize(bool swap, FILE* fp) {
   num_raw_samples_ = samples_.size();
   if (!unicharset_.load_from_file(fp)) return false;
   if (!font_id_map_.DeSerialize(swap, fp)) return false;
-  if (font_class_array_ != NULL) {
-    delete font_class_array_;
-    font_class_array_ = NULL;
-  }
+  delete font_class_array_;
+  font_class_array_ = NULL;
   inT8 not_null;
   if (fread(&not_null, sizeof(not_null), 1, fp) != 1) return false;
   if (not_null) {

cube/char_samp_set.cpp

@@ -40,9 +40,7 @@ void CharSampSet::Cleanup() {
     // only free samples if owned by class
     if (own_samples_ == true) {
       for (int samp_idx = 0; samp_idx < cnt_; samp_idx++) {
-        if (samp_buff_[samp_idx] != NULL) {
-          delete samp_buff_[samp_idx];
-        }
+        delete samp_buff_[samp_idx];
       }
     }
     delete []samp_buff_;

cube/search_column.cpp

@@ -195,9 +195,7 @@ SearchNode *SearchColumn::AddNode(LangModEdge *edge, int reco_cost,
     }
 
     // free the edge
-    if (edge != NULL) {
-      delete edge;
-    }
+    delete edge;
   }
 
   // update Min and Max Costs

dict/dict.cpp

@@ -191,7 +191,7 @@ Dict::Dict(CCUtil *ccutil)
 
 Dict::~Dict() {
   End();
-  if (hyphen_word_ != NULL) delete hyphen_word_;
+  delete hyphen_word_;
   if (output_ambig_words_file_ != NULL) fclose(output_ambig_words_file_);
 }
 
@@ -360,10 +360,8 @@ void Dict::End() {
   dawgs_.clear();
   successors_.clear();
   document_words_ = NULL;
-  if (pending_words_ != NULL) {
-    delete pending_words_;
-    pending_words_ = NULL;
-  }
+  delete pending_words_;
+  pending_words_ = NULL;
 }
 
 // Returns true if in light of the current state unichar_id is allowed

opencl/opencl_device_selection.h

@@ -72,10 +72,8 @@ static ds_status releaseDSProfile(ds_profile* profile, ds_score_release sr) {
     if (profile->devices!=NULL && sr!=NULL) {
       unsigned int i;
       for (i = 0; i < profile->numDevices; i++) {
-        if (profile->devices[i].oclDeviceName)
-          free(profile->devices[i].oclDeviceName);
-        if (profile->devices[i].oclDriverVersion)
-          free(profile->devices[i].oclDriverVersion);
+        free(profile->devices[i].oclDeviceName);
+        free(profile->devices[i].oclDriverVersion);
         status = sr(profile->devices[i].score);
         if (status != DS_SUCCESS)
           break;
@@ -171,15 +169,14 @@ static ds_status initDSProfile(ds_profile** p, const char* version) {
   profile->version = version;
 
 cleanup:
-  if (platforms)  free(platforms);
-  if (devices)    free(devices);
+  free(platforms);
+  free(devices);
   if (status == DS_SUCCESS) {
     *p = profile;
   }
   else {
     if (profile) {
-      if (profile->devices)
-        free(profile->devices);
+      free(profile->devices);
       free(profile);
     }
   }
@@ -585,7 +582,7 @@ static ds_status readProfileFromFile(ds_profile* profile,
     }
   }
 cleanup:
-  if (contentStart!=NULL) free(contentStart);
+  free(contentStart);
   return status;
 }
 

opencl/openclwrapper.cpp

@@ -538,30 +538,19 @@ int OpenclDevice::GeneratBinFromKernelSource( cl_program program, const char * c
     // Release all resouces and memory
     for ( i = 0; i < numDevices; i++ )
     {
-        if ( binaries[i] != NULL )
-        {
-            free( binaries[i] );
-            binaries[i] = NULL;
-        }
+        free(binaries[i]);
+        binaries[i] = NULL;
     }
 
-    if ( binaries != NULL )
-    {
-        free( binaries );
-        binaries = NULL;
-    }
+    free( binaries );
+    binaries = NULL;
 
-    if ( binarySizes != NULL )
-    {
-        free( binarySizes );
-        binarySizes = NULL;
-    }
+    free(binarySizes);
+    binarySizes = NULL;
 
-    if ( mpArryDevsID != NULL )
-    {
-        free( mpArryDevsID );
-        mpArryDevsID = NULL;
-    }
+    free(mpArryDevsID);
+    mpArryDevsID = NULL;
+ 
     return 1;
 }
 

textord/fpchop.cpp

@@ -259,8 +259,8 @@ void split_to_blob(                                 //split the blob
                      pitch_error,
                      left_coutlines,
                      right_coutlines);
-  if (blob != NULL)
-    delete blob;                 //free it
+
+  delete blob;
 }
 
 /**********************************************************************

textord/makerow.cpp

@@ -507,8 +507,7 @@ void vigorous_noise_removal(TO_BLOCK* block) {
             continue;  // Looks OK.
         }
         // It might be noise so get rid of it.
-        if (blob->cblob() != NULL)
-          delete blob->cblob();
+        delete blob->cblob();
         delete b_it.extract();
       } else {
         prev = blob;

training/commontraining.cpp

@@ -524,7 +524,7 @@ CLUSTERER *SetUpForClustering(const FEATURE_DEFS_STRUCT &FeatureDefs,
     }
     CharID++;
   }
-  if ( Sample != NULL ) free( Sample );
+  free( Sample );
   return( Clusterer );
 
 } /* SetUpForClustering */

wordrec/chopper.cpp

@@ -568,9 +568,7 @@ int Wordrec::select_blob_to_split(
 
   for (x = 0; x < blob_choices.size(); ++x) {
     if (blob_choices[x] == NULL) {
-      if (fragments != NULL) {
-        delete[] fragments;
-      }
+      delete[] fragments;
       return x;
     } else {
       blob_choice = blob_choices[x];
@@ -614,9 +612,7 @@ int Wordrec::select_blob_to_split(
       }
     }
   }
-  if (fragments != NULL) {
-    delete[] fragments;
-  }
+  delete[] fragments;
   // TODO(daria): maybe a threshold of badness for
   // worst_near_fragment would be useful.
   return worst_index_near_fragment != -1 ?

wordrec/language_model.cpp

@@ -988,7 +988,7 @@ float LanguageModel::ComputeNgramCost(const char *unichar,
             unichar, context_ptr, CertaintyScore(certainty)/denom, prob,
             ngram_and_classifier_cost);
   }
-  if (modified_context != NULL) delete[] modified_context;
+  delete[] modified_context;
   return ngram_and_classifier_cost;
 }