Fixed data store changes

Signed-off-by: Jared Duffey <[email protected]>

Author: JDuffeyBQ

src/SimplnxReview/Filters/Algorithms/ComputeLocalAverageCAxisMisalignments.cpp

@@ -72,7 +72,7 @@ class FindLocalAverageMisalignments
 
       if constexpr(MisalignmentArguments::CalculatingBiasedAverage)
       {
-        m_NumFeaturesPerParent[parentId]++;
+        m_NumFeaturesPerParent[parentId].inc();
         m_LocalCAxisMisalignments[parentId] += m_AvgCAxisMisalignments[i];
       }
     }

src/SimplnxReview/Filters/Algorithms/ComputeMicroTextureRegions.cpp

@@ -47,7 +47,7 @@ Result<> ComputeMicroTextureRegions::operator()()
   std::vector<float32> microTextureRegionZMins(numMicroTextureRegions, spacing[2] * static_cast<float32>(zPoints));
   std::vector<float32> microTextureRegionZMaxs(numMicroTextureRegions, 0.0f);
 
-  std::for_each(featureIds.begin(), featureIds.end(), [&microTextureRegionNumCells](const int32 id) mutable { microTextureRegionNumCells[id]++; });
+  std::for_each(featureIds.begin(), featureIds.end(), [&microTextureRegionNumCells](const int32 id) mutable { microTextureRegionNumCells[id].inc(); });
 
   float32 x, y, z;
   usize zStride, yStride;

src/SimplnxReview/Filters/Algorithms/GroupMicroTextureRegions.cpp

@@ -274,7 +274,7 @@ int GroupMicroTextureRegions::getSeed(int32 newFid)
       // dividing by the magnitudes (they would be 1)
       MatrixMath::Normalize3x1(c1.data());
       MatrixMath::Copy3x1(c1.data(), m_AvgCAxes.data());
-      MatrixMath::Multiply3x1withConstant(m_AvgCAxes.data(), volumes[voxelSeed]);
+      MatrixMath::Multiply3x1withConstant(m_AvgCAxes.data(), volumes.getValue(voxelSeed));
     }
   }
 
@@ -355,7 +355,7 @@ bool GroupMicroTextureRegions::determineGrouping(int32 referenceFeature, int32 n
         if(m_InputValues->UseRunningAverage)
         {
           auto& volumes = m_DataStructure.getDataRefAs<Float32Array>(m_InputValues->VolumesArrayPath);
-          MatrixMath::Multiply3x1withConstant(c2.data(), volumes[neighborFeature]);
+          MatrixMath::Multiply3x1withConstant(c2.data(), volumes.getValue(neighborFeature));
           MatrixMath::Add3x1s(m_AvgCAxes.data(), c2.data(), m_AvgCAxes.data());
         }
         return true;