!27586 Repair the blank line problem in the master alarm

Merge pull request !27586 from 刘勇琪/master

mindspore/ccsrc/minddata/dataset/audio/ir/kernels/flanger_ir.cc

@@ -22,7 +22,6 @@
 namespace mindspore {
 namespace dataset {
 namespace audio {
-
 // FlangerOperation
 FlangerOperation::FlangerOperation(int32_t sample_rate, float delay, float depth, float regen, float width, float speed,
                                    float phase, Modulation modulation, Interpolation interpolation)

mindspore/ccsrc/minddata/dataset/engine/datasetops/source/fashion_mnist_op.cc

@@ -81,6 +81,5 @@ Status FashionMnistOp::CountTotalRows(const std::string &dir, const std::string
 
   return Status::OK();
 }
-
 }  // namespace dataset
 }  // namespace mindspore

mindspore/ccsrc/minddata/dataset/engine/datasetops/source/image_folder_op.cc

@@ -313,6 +313,5 @@ Status ImageFolderOp::GetNumClasses(int64_t *num_classes) {
   num_classes_ = *num_classes;
   return Status::OK();
 }
-
 }  // namespace dataset
 }  // namespace mindspore

mindspore/ccsrc/minddata/dataset/engine/datasetops/source/photo_tour_op.cc

@@ -30,7 +30,6 @@
 
 namespace mindspore {
 namespace dataset {
-
 constexpr uint32_t kPatchNumPerRow = 16;
 constexpr uint32_t kPatchNumPerCol = 16;
 constexpr uint32_t kColPerPatch = 64;
@@ -68,7 +67,6 @@ Status PhotoTourOp::LoadTensorRow(row_id_type row_id, TensorRow *trow) {
     (*trow) = TensorRow(row_id, {std::move(image)});
     trow->setPath({image_names_[row_id / (kPatchNumPerRow * kPatchNumPerCol)],
                    std::to_string(row_id % (kPatchNumPerRow * kPatchNumPerCol))});
-
   } else {
     std::shared_ptr<Tensor> image1, image2, matches;
     // make a copy of cached tensor
@@ -414,6 +412,5 @@ Status PhotoTourOp::ComputeColMap() {
   }
   return Status::OK();
 }
-
 }  // namespace dataset
 }  // namespace mindspore

mindspore/ccsrc/minddata/dataset/engine/datasetops/source/places365_op.cc

@@ -304,6 +304,5 @@ Status Places365Op::ComputeColMap() {
   }
   return Status::OK();
 }
-
 }  // namespace dataset
 }  // namespace mindspore

mindspore/ccsrc/minddata/dataset/engine/ir/datasetops/source/photo_tour_node.cc

@@ -26,7 +26,6 @@
 
 namespace mindspore {
 namespace dataset {
-
 PhotoTourNode::PhotoTourNode(const std::string &dataset_dir, const std::string &name, const std::string &usage,
                              std::shared_ptr<SamplerObj> sampler, std::shared_ptr<DatasetCache> cache)
     : MappableSourceNode(std::move(cache)), dataset_dir_(dataset_dir), name_(name), usage_(usage), sampler_(sampler) {}

mindspore/ccsrc/minddata/dataset/engine/ir/datasetops/source/qmnist_node.cc

@@ -29,7 +29,6 @@
 
 namespace mindspore {
 namespace dataset {
-
 QMnistNode::QMnistNode(const std::string &dataset_dir, const std::string &usage, bool compat,
                        std::shared_ptr<SamplerObj> sampler, std::shared_ptr<DatasetCache> cache)
     : MappableSourceNode(std::move(cache)),

mindspore/ccsrc/minddata/dataset/engine/tree_modifier.cc

@@ -18,7 +18,6 @@
 
 namespace mindspore {
 namespace dataset {
-
 Status AutotuneCallback::DSNStepBegin(const CallbackParam &cb_param) {
   // check if the queue is empty, no need to wait until a change request is ready
   if (!change_request_queue_->empty()) {

mindspore/ccsrc/minddata/dataset/kernels/image/random_adjust_sharpness_op.cc

@@ -18,7 +18,6 @@
 
 namespace mindspore {
 namespace dataset {
-
 const float RandomAdjustSharpnessOp::kDefProbability = 0.5;
 
 Status RandomAdjustSharpnessOp::Compute(const std::shared_ptr<Tensor> &input, std::shared_ptr<Tensor> *output) {

mindspore/ccsrc/minddata/dataset/kernels/image/random_auto_contrast_op.cc

@@ -20,7 +20,6 @@
 
 namespace mindspore {
 namespace dataset {
-
 const float RandomAutoContrastOp::kCutOff = 0.0;
 const std::vector<uint32_t> RandomAutoContrastOp::kIgnore = {};
 const float RandomAutoContrastOp::kDefProbability = 0.5;

mindspore/python/mindspore/dataset/engine/datasets.py

@@ -88,6 +88,7 @@ except ModuleNotFoundError:
 if platform.system().lower() == "darwin" and multiprocessing.get_start_method() != "fork":
     multiprocessing.set_start_method("fork", True)
 
+
 class Shuffle(str, Enum):
     GLOBAL: str = "global"
     FILES: str = "files"