crnlib: attempt to fix CodeQL reports

Author: illwieckz

crnlib/crn_jpgd.cpp

@@ -2441,7 +2441,7 @@ jpeg_decoder::coeff_buf* jpeg_decoder::coeff_buf_open(int block_num_x, int block
   cb->block_len_x = block_len_x;
   cb->block_len_y = block_len_y;
   cb->block_size = (block_len_x * block_len_y) * sizeof(jpgd_block_t);
-  cb->pData = (uint8*)alloc(cb->block_size * block_num_x * block_num_y, true);
+  cb->pData = (uint8*)alloc((size_t)cb->block_size * (size_t)block_num_x * (size_t)block_num_y, true);
   return cb;
 }
 
@@ -2870,7 +2870,7 @@ unsigned char* decompress_jpeg_image_from_stream(jpeg_decoder_stream* pStream, i
 
   const int dst_bpl = image_width * req_comps;
 
-  uint8* pImage_data = (uint8*)jpgd_malloc(dst_bpl * image_height);
+  uint8* pImage_data = (uint8*)jpgd_malloc((size_t)dst_bpl * (size_t)image_height);
   if (!pImage_data)
     return NULL;
 

crnlib/crn_jpge.cpp

@@ -576,7 +576,7 @@ bool jpeg_encoder::jpg_open(int p_x_res, int p_y_res, int src_channels) {
   m_image_bpl_mcu = m_image_x_mcu * m_num_components;
   m_mcus_per_row = m_image_x_mcu / m_mcu_x;
 
-  if ((m_mcu_lines[0] = static_cast<uint8*>(jpge_malloc(m_image_bpl_mcu * m_mcu_y))) == NULL)
+  if ((m_mcu_lines[0] = static_cast<uint8*>(jpge_malloc((size_t)m_image_bpl_mcu * (size_t)m_mcu_y))) == NULL)
     return false;
   for (int i = 1; i < m_mcu_y; i++)
     m_mcu_lines[i] = m_mcu_lines[i - 1] + m_image_bpl_mcu;

crnlib/crn_threaded_clusterizer.h

@@ -219,7 +219,7 @@ class threaded_clusterizer {
         double sum = 0;
 
         for (uint j = 0; j < N; j++)
-          sum += axis[j] * covar[i][j];
+          sum += static_cast<double>(axis[j]) * static_cast<double>(covar[i][j]);
 
         x[i] = static_cast<float>(sum);
 

crnlib/crn_tree_clusterizer.h

@@ -72,7 +72,7 @@ class tree_clusterizer {
       m_weightedVectors[i] = v * (float)weight;
       root.m_centroid += m_weightedVectors[i];
       root.m_total_weight += weight;
-      m_weightedDotProducts[i] = v.dot(v) * weight;
+      m_weightedDotProducts[i] = (double)v.dot(v) * (double)weight;
       ttsum += m_weightedDotProducts[i];
     }
     root.m_variance = (float)(ttsum - (root.m_centroid.dot(root.m_centroid) / root.m_total_weight));
@@ -289,7 +289,7 @@ class tree_clusterizer {
           double sum = 0;
 
           for (uint j = 0; j < N; j++)
-            sum += axis[j] * covar[i][j];
+            sum += (double)axis[j] * (double)covar[i][j];
 
           x[i] = (float)sum;