Apply automatic code formatting

Author: github-actions[bot]

cpp/open3d/core/nns/KnnIndex.h

@@ -47,10 +47,10 @@ class KnnIndex : public NNSIndex {
 
     /// \brief Parameterized Constructor.
     ///
-    /// \param dataset_points Provides a set of data points as Tensor for nearest
-    /// neighbor search. CPU tensors use NanoFlann through
-    /// open3d::core::nns::NearestNeighborSearch, while CUDA and SYCL tensors are
-    /// handled by this class.
+    /// \param dataset_points Provides a set of data points as Tensor for
+    /// nearest neighbor search. CPU tensors use NanoFlann through
+    /// open3d::core::nns::NearestNeighborSearch, while CUDA and SYCL tensors
+    /// are handled by this class.
     KnnIndex(const Tensor& dataset_points);
     KnnIndex(const Tensor& dataset_points, const Dtype& index_dtype);
     ~KnnIndex();

cpp/open3d/core/nns/NearestNeighborSearch.cpp

@@ -52,12 +52,12 @@ bool NearestNeighborSearch::FixedRadiusIndex(std::optional<double> radius) {
     } else {
         if (dataset_points_.IsSYCL()) {
             if (!radius.has_value()) {
-                utility::LogError("radius is required for SYCL FixedRadiusIndex.");
+                utility::LogError(
+                        "radius is required for SYCL FixedRadiusIndex.");
             }
             fixed_radius_index_.reset(new nns::FixedRadiusIndex());
-            return fixed_radius_index_->SetTensorData(dataset_points_,
-                                                      radius.value(),
-                                                      index_dtype_);
+            return fixed_radius_index_->SetTensorData(
+                    dataset_points_, radius.value(), index_dtype_);
         }
         return SetIndex();
     }
@@ -83,9 +83,8 @@ bool NearestNeighborSearch::HybridIndex(std::optional<double> radius) {
                 utility::LogError("radius is required for SYCL HybridIndex.");
             }
             fixed_radius_index_.reset(new nns::FixedRadiusIndex());
-            return fixed_radius_index_->SetTensorData(dataset_points_,
-                                                      radius.value(),
-                                                      index_dtype_);
+            return fixed_radius_index_->SetTensorData(
+                    dataset_points_, radius.value(), index_dtype_);
         }
         return SetIndex();
     }

cpp/tests/core/KnnIndex.cpp

@@ -25,9 +25,10 @@ namespace open3d {
 namespace tests {
 
 class KnnIndexPermuteDevices : public PermuteDevicesWithSYCL {};
-INSTANTIATE_TEST_SUITE_P(KnnIndex,
-                         KnnIndexPermuteDevices,
-                         testing::ValuesIn(KnnIndexPermuteDevices::TestCases()));
+INSTANTIATE_TEST_SUITE_P(
+        KnnIndex,
+        KnnIndexPermuteDevices,
+        testing::ValuesIn(KnnIndexPermuteDevices::TestCases()));
 
 TEST_P(KnnIndexPermuteDevices, KnnSearch) {
     // Define test data.
@@ -318,7 +319,8 @@ TEST_P(KnnIndexPermuteDevices, KnnSearchBatch) {
     EXPECT_EQ(indices.GetShape(), shape);
     EXPECT_EQ(distances.GetShape(), shape);
     EXPECT_TRUE(indices.AllClose(gt_indices)) << indices.ToString();
-    EXPECT_TRUE(distances.AllClose(gt_distances, 1e-5, 1e-3)) << distances.ToString();
+    EXPECT_TRUE(distances.AllClose(gt_distances, 1e-5, 1e-3))
+            << distances.ToString();
 
     // int64
     // Set up Knn index.
@@ -342,7 +344,8 @@ TEST_P(KnnIndexPermuteDevices, KnnSearchBatch) {
     EXPECT_EQ(indices.GetShape(), shape);
     EXPECT_EQ(distances.GetShape(), shape);
     EXPECT_TRUE(indices.AllClose(gt_indices)) << indices.ToString();
-    EXPECT_TRUE(distances.AllClose(gt_distances, 1e-5, 1e-3)) << distances.ToString();
+    EXPECT_TRUE(distances.AllClose(gt_distances, 1e-5, 1e-3))
+            << distances.ToString();
 }
 
 }  // namespace tests