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diff --git a/extern/draco/draco/src/draco/compression/attributes/prediction_schemes/mesh_prediction_scheme_parallelogram_decoder.h b/extern/draco/draco/src/draco/compression/attributes/prediction_schemes/mesh_prediction_scheme_parallelogram_decoder.h
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+++ b/extern/draco/draco/src/draco/compression/attributes/prediction_schemes/mesh_prediction_scheme_parallelogram_decoder.h
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+// Copyright 2016 The Draco Authors.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//      http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
+#ifndef DRACO_COMPRESSION_ATTRIBUTES_PREDICTION_SCHEMES_MESH_PREDICTION_SCHEME_PARALLELOGRAM_DECODER_H_
+#define DRACO_COMPRESSION_ATTRIBUTES_PREDICTION_SCHEMES_MESH_PREDICTION_SCHEME_PARALLELOGRAM_DECODER_H_
+
+#include "draco/compression/attributes/prediction_schemes/mesh_prediction_scheme_decoder.h"
+#include "draco/compression/attributes/prediction_schemes/mesh_prediction_scheme_parallelogram_shared.h"
+
+namespace draco {
+
+// Decoder for attribute values encoded with the standard parallelogram
+// prediction. See the description of the corresponding encoder for more
+// details.
+template <typename DataTypeT, class TransformT, class MeshDataT>
+class MeshPredictionSchemeParallelogramDecoder
+    : public MeshPredictionSchemeDecoder<DataTypeT, TransformT, MeshDataT> {
+ public:
+  using CorrType =
+      typename PredictionSchemeDecoder<DataTypeT, TransformT>::CorrType;
+  using CornerTable = typename MeshDataT::CornerTable;
+  explicit MeshPredictionSchemeParallelogramDecoder(
+      const PointAttribute *attribute)
+      : MeshPredictionSchemeDecoder<DataTypeT, TransformT, MeshDataT>(
+            attribute) {}
+  MeshPredictionSchemeParallelogramDecoder(const PointAttribute *attribute,
+                                           const TransformT &transform,
+                                           const MeshDataT &mesh_data)
+      : MeshPredictionSchemeDecoder<DataTypeT, TransformT, MeshDataT>(
+            attribute, transform, mesh_data) {}
+
+  bool ComputeOriginalValues(const CorrType *in_corr, DataTypeT *out_data,
+                             int size, int num_components,
+                             const PointIndex *entry_to_point_id_map) override;
+  PredictionSchemeMethod GetPredictionMethod() const override {
+    return MESH_PREDICTION_PARALLELOGRAM;
+  }
+
+  bool IsInitialized() const override {
+    return this->mesh_data().IsInitialized();
+  }
+};
+
+template <typename DataTypeT, class TransformT, class MeshDataT>
+bool MeshPredictionSchemeParallelogramDecoder<DataTypeT, TransformT,
+                                              MeshDataT>::
+    ComputeOriginalValues(const CorrType *in_corr, DataTypeT *out_data,
+                          int /* size */, int num_components,
+                          const PointIndex * /* entry_to_point_id_map */) {
+  this->transform().Init(num_components);
+
+  const CornerTable *const table = this->mesh_data().corner_table();
+  const std::vector<int32_t> *const vertex_to_data_map =
+      this->mesh_data().vertex_to_data_map();
+
+  // For storage of prediction values (already initialized to zero).
+  std::unique_ptr<DataTypeT[]> pred_vals(new DataTypeT[num_components]());
+
+  // Restore the first value.
+  this->transform().ComputeOriginalValue(pred_vals.get(), in_corr, out_data);
+
+  const int corner_map_size =
+      static_cast<int>(this->mesh_data().data_to_corner_map()->size());
+  for (int p = 1; p < corner_map_size; ++p) {
+    const CornerIndex corner_id = this->mesh_data().data_to_corner_map()->at(p);
+    const int dst_offset = p * num_components;
+    if (!ComputeParallelogramPrediction(p, corner_id, table,
+                                        *vertex_to_data_map, out_data,
+                                        num_components, pred_vals.get())) {
+      // Parallelogram could not be computed, Possible because some of the
+      // vertices are not valid (not encoded yet).
+      // We use the last encoded point as a reference (delta coding).
+      const int src_offset = (p - 1) * num_components;
+      this->transform().ComputeOriginalValue(
+          out_data + src_offset, in_corr + dst_offset, out_data + dst_offset);
+    } else {
+      // Apply the parallelogram prediction.
+      this->transform().ComputeOriginalValue(
+          pred_vals.get(), in_corr + dst_offset, out_data + dst_offset);
+    }
+  }
+  return true;
+}
+
+}  // namespace draco
+
+#endif  // DRACO_COMPRESSION_ATTRIBUTES_PREDICTION_SCHEMES_MESH_PREDICTION_SCHEME_PARALLELOGRAM_DECODER_H_