!14680 MindData Codespell correction

From: @luoyang42
Reviewed-by: @heleiwang,@liucunwei
Signed-off-by: @liucunwei

mindspore/ccsrc/minddata/dataset/engine/opt/optional/tensor_op_fusion_pass.h

@@ -28,7 +28,7 @@ namespace dataset {
 class TensorOpFusionPass : public IRNodePass {
   /// \brief Identifies and fuses tensor ops within MapOp
   /// \param[in] node The node being visited
-  /// \param[inout] *modified indicates whether the node has been visited
+  /// \param[in, out] *modified indicates whether the node has been visited
   /// \return Status The status code returned
   Status Visit(std::shared_ptr<MapNode> node, bool *const modified) override;
 };

mindspore/ccsrc/minddata/dataset/engine/opt/post/generator_node_pass.h

@@ -38,31 +38,31 @@ class GeneratorNodePass : public IRNodePass {
 
   /// \brief Record the starting point to collect the Generator node
   /// \param[in] node The node being visited
-  /// \param[inout] modified Indicator if the node was changed at all
+  /// \param[in, out] modified Indicator if the node was changed at all
   /// \return Status The status code returned
   Status Visit(std::shared_ptr<RepeatNode> node, bool *const modified) override;
 
   /// \brief Record the starting point to collect the Generator node
   /// \param[in] node The node being visited
-  /// \param[inout] modified Indicator if the node was changed at all
+  /// \param[in, out] modified Indicator if the node was changed at all
   /// \return Status The status code returned
   Status Visit(std::shared_ptr<EpochCtrlNode> node, bool *const modified) override;
 
   /// \brief Add the Generator node to the set
   /// \param[in] node The node being visited
-  /// \param[inout] modified Indicator if the node was changed at all
+  /// \param[in, out] modified Indicator if the node was changed at all
   /// \return Status The status code returned
   Status Visit(std::shared_ptr<GeneratorNode> node, bool *const modified) override;
 
   /// \brief Add the Generator node(s) from the set to this Repeat node for run-time processing
   /// \param[in] node The node being visited
-  /// \param[inout] modified Indicator if the node was changed at all
+  /// \param[in, out] modified Indicator if the node was changed at all
   /// \return Status The status code returned
   Status VisitAfter(std::shared_ptr<RepeatNode> node, bool *const modified) override;
 
   /// \brief Add the Generator node(s) from the set to this EpochCtrl node for run-time processing
   /// \param[in] node The node being visited
-  /// \param[inout] modified Indicator if the node was changed at all
+  /// \param[in, out] modified Indicator if the node was changed at all
   /// \return Status The status code returned
   Status VisitAfter(std::shared_ptr<EpochCtrlNode> node, bool *const modified) override;
 

mindspore/ccsrc/minddata/dataset/engine/opt/pre/deep_copy_pass.h

@@ -37,13 +37,13 @@ class DeepCopyPass : public IRNodePass {
 
   /// \brief Clone a new copy of the node
   /// \param[in] node The node being visited
-  /// \param[inout] *modified indicates whether the node has been visited
+  /// \param[in, out] *modified indicates whether the node has been visited
   /// \return Status code
   Status Visit(std::shared_ptr<DatasetNode> node, bool *const modified) override;
 
   /// \brief Reset parent after walking its sub tree.
   /// \param[in] node The node being visited
-  /// \param[inout] *modified indicates whether the node has been visited
+  /// \param[in, out] *modified indicates whether the node has been visited
   /// \return Status code
   Status VisitAfter(std::shared_ptr<DatasetNode> node, bool *const modified) override;
 

mindspore/ccsrc/minddata/dataset/engine/opt/pre/epoch_ctrl_pass.h

@@ -44,27 +44,27 @@ class EpochCtrlPass : public IRTreePass {
 
     /// \brief Performs finder work for BuildVocabNode that has special rules about epoch control injection.
     /// \param[in] node The node being visited
-    /// \param[inout] modified Indicator if the node was changed at all
+    /// \param[in, out] modified Indicator if the node was changed at all
     /// \return Status The status code returned
     Status Visit(std::shared_ptr<RootNode> node, bool *const modified) override;
 
     /// \brief Performs finder work for BuildVocabNode that has special rules about epoch control injection.
     /// \param[in] node The node being visited
-    /// \param[inout] modified Indicator if the node was changed at all
+    /// \param[in, out] modified Indicator if the node was changed at all
     /// \return Status The status code returned
     Status Visit(std::shared_ptr<BuildVocabNode> node, bool *const modified) override;
 
 #ifndef ENABLE_ANDROID
     /// \brief Performs finder work for BuildSentenceVocabNode that has special rules about epoch control injection.
     /// \param[in] node The node being visited
-    /// \param[inout] modified Indicator if the node was changed at all
+    /// \param[in, out] modified Indicator if the node was changed at all
     /// \return Status The status code returned
     Status Visit(std::shared_ptr<BuildSentenceVocabNode> node, bool *const modified) override;
 #endif
 
     /// \brief Register the TransferNode for further action.
     /// \param[in] node The node being visited
-    /// \param[inout] modified Indicator if the node was changed at all
+    /// \param[in, out] modified Indicator if the node was changed at all
     /// \return Status The status code returned
     Status VisitAfter(std::shared_ptr<TransferNode> node, bool *const modified) override;
 
@@ -87,8 +87,8 @@ class EpochCtrlPass : public IRTreePass {
   ~EpochCtrlPass() = default;
 
   /// \brief Runs an injection pass to inject in operators needed at the pre pass stage
-  /// \param[inout] tree The tree to operate on.
-  /// \param[inout] Indicate of the tree was modified.
+  /// \param[in, out] tree The tree to operate on.
+  /// \param[in, out] Indicate of the tree was modified.
   /// \return Status The status code returned
   Status RunOnTree(std::shared_ptr<DatasetNode> root_ir, bool *const modified) override;
 };

mindspore/ccsrc/minddata/dataset/engine/opt/pre/input_validation_pass.h

@@ -29,7 +29,7 @@ namespace dataset {
 class InputValidationPass : public IRNodePass {
   /// \brief Runs a validation pass to check input parameters
   /// \param[in] node The node being visited
-  /// \param[inout] *modified indicates whether the node has been visited
+  /// \param[in, out] *modified indicates whether the node has been visited
   /// \return Status code
   Status Visit(std::shared_ptr<DatasetNode> node, bool *const modified) override;
 };

mindspore/ccsrc/minddata/dataset/engine/opt/pre/node_removal_pass.h

@@ -44,19 +44,19 @@ class NodeRemovalPass : public IRTreePass {
 
     /// \brief Perform RepeatNode removal check
     /// \param[in] node The node being visited
-    /// \param[inout] modified Indicator if the node was changed at all
+    /// \param[in, out] modified Indicator if the node was changed at all
     /// \return Status The status code returned
     Status Visit(std::shared_ptr<RepeatNode> node, bool *const modified) override;
 
     /// \brief Perform SkipNode removal check
     /// \param[in] node The node being visited
-    /// \param[inout] modified Indicator if the node was changed at all
+    /// \param[in, out] modified Indicator if the node was changed at all
     /// \return Status The status code returned
     Status Visit(std::shared_ptr<SkipNode> node, bool *const modified) override;
 
     /// \brief Perform TakeNode removal check
     /// \param[in] node The node being visited
-    /// \param[inout] modified Indicator if the node was changed at all
+    /// \param[in, out] modified Indicator if the node was changed at all
     /// \return Status The status code returned
     Status Visit(std::shared_ptr<TakeNode> node, bool *const modified) override;
 
@@ -76,8 +76,8 @@ class NodeRemovalPass : public IRTreePass {
   ~NodeRemovalPass() = default;
 
   /// \brief Runs a removal_nodes pass first to find out which nodes to remove, then removes them.
-  /// \param[inout] tree The tree to operate on.
-  /// \param[inout] Indicate of the tree was modified.
+  /// \param[in, out] tree The tree to operate on.
+  /// \param[in, out] Indicate of the tree was modified.
   /// \return Status The status code returned
   Status RunOnTree(std::shared_ptr<DatasetNode> root_ir, bool *const modified) override;
 };

mindspore/ccsrc/minddata/dataset/kernels/image/bounding_box.h

@@ -98,14 +98,14 @@ class BoundingBox {
   /// \brief Updates bounding boxes with required Top and Left padding
   /// \note Top and Left padding amounts required to adjust bboxs min X,Y values according to padding 'push'
   ///     Top/Left since images 0,0 coordinate is taken from top left
-  /// \param bboxList: A tensor contaning bounding box tensors
+  /// \param bboxList: A tensor containing bounding box tensors
   /// \param bboxCount: total Number of bounding boxes - required within caller function to run update loop
   /// \param pad_top: Total amount of padding applied to image top
   /// \param pad_left: Total amount of padding applied to image left side
   static Status PadBBoxes(const TensorPtr *bbox_list, size_t bbox_count, int32_t pad_top, int32_t pad_left);
 
   /// \brief Updates and checks bounding boxes for new cropped region of image
-  /// \param bbox_list: A tensor contaning bounding box tensors
+  /// \param bbox_list: A tensor containing bounding box tensors
   /// \param bbox_count: total Number of bounding boxes - required within caller function to run update loop
   /// \param CB_Xmin: Image's CropBox Xmin coordinate
   /// \param CB_Xmin: Image's CropBox Ymin coordinate
@@ -116,7 +116,7 @@ class BoundingBox {
 
   /// \brief Updates bounding boxes for an Image Resize Operation - Takes in set of valid BBoxes
   /// For e.g those that remain after a crop
-  /// \param bbox_list: A tensor contaning bounding box tensors
+  /// \param bbox_list: A tensor containing bounding box tensors
   /// \param bbox_count: total Number of bounding boxes - required within caller function to run update loop
   /// \param target_width: required width of image post resize
   /// \param target_height: required height of image post resize

mindspore/ccsrc/minddata/dataset/kernels/image/bounding_box_augment_op.h

@@ -35,7 +35,7 @@ class BoundingBoxAugmentOp : public TensorOp {
   static const float kDefRatio;
 
   // Constructor for BoundingBoxAugmentOp
-  // @param std::shared_ptr<TensorOp> transform transform: C++ opration to apply on select bounding boxes
+  // @param std::shared_ptr<TensorOp> transform transform: C++ operation to apply on select bounding boxes
   // @param float ratio: ratio of bounding boxes to have the transform applied on
   BoundingBoxAugmentOp(std::shared_ptr<TensorOp> transform, float ratio);
 

mindspore/ccsrc/minddata/dataset/kernels/image/soft_dvpp/utils/external_soft_dp.h

@@ -33,10 +33,10 @@ struct SoftDpProcsessInfo {
 };
 
 struct SoftDpCropInfo {
-  uint32_t left;   // crop left boundry
-  uint32_t right;  // crop right boundry
-  uint32_t up;     // crop up boundry
-  uint32_t down;   // crop down boundry
+  uint32_t left;   // crop left boundary
+  uint32_t right;  // crop right boundary
+  uint32_t up;     // crop up boundary
+  uint32_t down;   // crop down boundary
 };
 
 /*

mindspore/ccsrc/minddata/dataset/kernels/image/soft_dvpp/utils/soft_jpegd.cc

@@ -190,11 +190,11 @@ uint32_t SoftJpegd::ConfigVpcInputData(struct VpcInfo *vpc_input_info, int32_t *
 }
 
 /*
- * @brief : destory libjpeg source
+ * @brief : destroy libjpeg source
  * @param [in] struct jpeg_decompress_struct &libjpeg_handler : libjpeg handle.
  * @param [in] tjhandle &handle : tjhandle.
  */
-void DestoryLibjpegSource(struct jpeg_decompress_struct *libjpeg_handler, const tjhandle &handle) {
+void DestroyLibjpegSource(struct jpeg_decompress_struct *libjpeg_handler, const tjhandle &handle) {
   (void)tjDestroy(handle);
   jpeg_destroy_decompress(libjpeg_handler);
 }
@@ -211,7 +211,7 @@ uint32_t SoftJpegd::JpegdSoftwareDecodeProcess(struct VpcInfo *vpc_input_info,
   int32_t prepare_decode_res = PrepareDecode(&libjpeg_handler, vpc_input_info, soft_dp_process_info);
   if (prepare_decode_res != decodeSucc) {
     JPEGD_LOGE("prepare decode failed!");
-    DestoryLibjpegSource(&libjpeg_handler, handle);
+    DestroyLibjpegSource(&libjpeg_handler, handle);
     return decodeErr;
   }
 
@@ -220,14 +220,14 @@ uint32_t SoftJpegd::JpegdSoftwareDecodeProcess(struct VpcInfo *vpc_input_info,
                         &height, &sub_sample, &color_spase);
   if (decode_header_res != decodeSucc) {
     JPEGD_LOGE("Decompress header failed, width = %d, height = %d.", width, height);
-    DestoryLibjpegSource(&libjpeg_handler, handle);
+    DestroyLibjpegSource(&libjpeg_handler, handle);
     return decodeErr;
   }
 
   int32_t alloc_out_buf_res = AllocOutputBuffer(vpc_input_info, &width, &height, &sub_sample);
   if (alloc_out_buf_res != decodeSucc) {
     JPEGD_LOGE("alloc output buffer failed!");
-    DestoryLibjpegSource(&libjpeg_handler, handle);
+    DestroyLibjpegSource(&libjpeg_handler, handle);
     return decodeErr;
   }
 
@@ -239,15 +239,15 @@ uint32_t SoftJpegd::JpegdSoftwareDecodeProcess(struct VpcInfo *vpc_input_info,
                std::this_thread::get_id());
     delete[] soft_decode_out_buf_;
     soft_decode_out_buf_ = nullptr;
-    DestoryLibjpegSource(&libjpeg_handler, handle);
+    DestroyLibjpegSource(&libjpeg_handler, handle);
     return decodeErr;
   }
 
   int32_t config_vpc_res = ConfigVpcInputData(vpc_input_info, &width, &height);
   if (config_vpc_res != decodeSucc) {
-    DestoryLibjpegSource(&libjpeg_handler, handle);
+    DestroyLibjpegSource(&libjpeg_handler, handle);
     return decodeErr;
   }
-  DestoryLibjpegSource(&libjpeg_handler, handle);
+  DestroyLibjpegSource(&libjpeg_handler, handle);
   return decodeSucc;
 }

mindspore/ccsrc/minddata/dataset/kernels/image/soft_dvpp/utils/soft_jpegd.h

@@ -35,7 +35,7 @@ class SoftJpegd {
    * @brief : decode interface
    * @param [in] VpcInfo& vpc_input_info : vpc input information
    * @param [in] SoftDpProcsessInfo& soft_dp_process_info : softDp process info
-   * @return : decodeSucc：decode success， decodeErr:decode failed.
+   * @return : decodeSucc：decode success, decodeErr:decode failed.
    */
   uint32_t JpegdSoftwareDecodeProcess(struct VpcInfo *vpc_input_info, struct SoftDpProcsessInfo *soft_dp_process_info);
 
@@ -50,7 +50,7 @@ class SoftJpegd {
    * @param [in] int32_t& sub_sample : level of chrominance subsampling in the image
    * @param [in] int32_t& color_spase : pointer to an integer variable that will receive one of the JPEG
    *                                   constants, indicating the colorspace of the JPEG image.
-   * @return : decodeSucc：alloc output buf success， decodeErr:alloc output buf failed.
+   * @return : decodeSucc：alloc output buf success, decodeErr:alloc output buf failed.
    */
   uint32_t AllocOutputBuffer(struct VpcInfo *vpc_input_info, int32_t *width, int32_t *height, int32_t *sub_sample);
 
@@ -59,7 +59,7 @@ class SoftJpegd {
    * @param [in] VpcInfo& vpc_input_info : vpc input information
    * @param [in] int32_t& width : output width
    * @param [in] int32_t& height : output height
-   * @return : decodeSucc：config output buf succes， decodeErr:config output buf failed.
+   * @return : decodeSucc：config output buf success, decodeErr:config output buf failed.
    */
   uint32_t ConfigVpcInputData(struct VpcInfo *vpc_input_info, int32_t *width, int32_t *height);
 };

mindspore/ccsrc/minddata/dataset/kernels/image/soft_dvpp/utils/soft_vpc.cc

@@ -375,11 +375,11 @@ void SoftVpc::ChipPreProcess() {
 
   YuvWPara *yuv_scaler_paraset = YuvScalerParaSet::GetInstance();
   YuvScalerPara *scale = yuv_scaler_paraset->scale;
-  int32_t index = GetScalerParamterIndex(horizon_coeff_, yuv_scaler_paraset);
+  int32_t index = GetScalerParameterIndex(horizon_coeff_, yuv_scaler_paraset);
   y_horizon_tap_ = scale[index].taps_6;
   uv_horizon_tap_ = scale[index].taps_4;
 
-  index = GetScalerParamterIndex(vertical_coeff_, yuv_scaler_paraset);
+  index = GetScalerParameterIndex(vertical_coeff_, yuv_scaler_paraset);
   vertical_tap_ = (half_line_mode_) ? scale[index].taps_6 : scale[index].taps_4;
 }
 

mindspore/ccsrc/minddata/dataset/kernels/image/soft_dvpp/utils/yuv_scaler_para_set.cc

@@ -249,25 +249,25 @@ YuvWPara *YuvScalerParaSet::GetInstance(std::string *paraset_name, uint32_t yuv_
 }
 
 // Searching for the index number of the filtering parameter by using the dichotomy
-int32_t GetScalerParamterIndex(uint32_t paramter, YuvWPara *paramterset) {
-  int32_t count = paramterset->real_count;
+int32_t GetScalerParameterIndex(uint32_t parameter, YuvWPara *parameterset) {
+  int32_t count = parameterset->real_count;
   int32_t left = 0;
   int32_t right = count - 1;
-  YuvScalerPara *scaler = paramterset->scale;
+  YuvScalerPara *scaler = parameterset->scale;
   int32_t index = 0;
 
-  if (paramter <= scalerRadio1Time) {
+  if (parameter <= scalerRadio1Time) {
     index = 0;
   } else {
-    paramter = paramter >> paramterInterval;
+    parameter = parameter >> parameterInterval;
     while (left <= right) {
       index = (left + right) / 2;  // 2-point search
-      if (paramter > scaler[index].range.start && paramter <= scaler[index].range.end) {
+      if (parameter > scaler[index].range.start && parameter <= scaler[index].range.end) {
         break;
       }
-      if (paramter > scaler[index].range.end) {
+      if (parameter > scaler[index].range.end) {
         left = index + 1;
-      } else if (paramter <= scaler[index].range.start) {
+      } else if (parameter <= scaler[index].range.start) {
         right = index - 1;
       }
     }

mindspore/ccsrc/minddata/dataset/kernels/image/soft_dvpp/utils/yuv_scaler_para_set.h

@@ -25,7 +25,7 @@ const uint32_t maxFileCount = 10;
 const uint32_t kMaxParaCount = 2048;
 const uint32_t kScalerCoffNb4 = 32;
 const uint32_t kScalerCoffNb6 = 48;
-const uint32_t paramterInterval = 6;  // scaler Number of bits between each group of filtering coefficients
+const uint32_t parameterInterval = 6;  // scaler Number of bits between each group of filtering coefficients
 const uint32_t scalerRadio1Time = 0X10000;
 
 struct ScalerCoefficientIndex {
@@ -83,7 +83,7 @@ class YuvScalerParaSet {
   static pthread_mutex_t g_mutex_;
 };
 
-int32_t GetScalerParamterIndex(uint32_t paramter, YuvWPara *paramterset);
+int32_t GetScalerParameterIndex(uint32_t parameter, YuvWPara *parameterset);
 
 constexpr YuvWPara YUV_W_PARA = {
   1024,

mindspore/ccsrc/minddata/dataset/text/kernels/basic_tokenizer_op.h

@@ -49,7 +49,7 @@ class BasicTokenizerOp : public TensorOp {
 
  protected:
   Status CaseFoldWithoutUnusedWords(const std::string_view &text, const std::unordered_set<std::string> &unused_words,
-                                    std::string *outupt);
+                                    std::string *output);
   Status CaseFoldWithoutUnusedWords(const std::shared_ptr<Tensor> &input, std::shared_ptr<Tensor> *output);
 
   std::string Name() const override { return kBasicTokenizerOp; }

mindspore/ccsrc/minddata/dataset/util/numa_interface.h

@@ -25,7 +25,7 @@ struct bitmask {
   uint64_t *maskp;
 };
 
-// Now we seperate the link from _c_dataengine with numa,
+// Now we separate the link from _c_dataengine with numa,
 // and we use dlopen("libnuma") instead. This function will
 // return a handle which you can do NumaBind and ReleaseLibrary.
 void *GetNumaAdapterHandle();

mindspore/ccsrc/minddata/mindrecord/include/shard_column.h

@@ -105,7 +105,7 @@ class __attribute__((visibility("default"))) ShardColumn {
                               std::unique_ptr<unsigned char[]> *data_ptr, uint64_t *n_bytes);
 
  private:
-  /// \brief intialization
+  /// \brief initialization
   void Init(const json &schema_json, bool compress_integer = true);
 
   /// \brief get float value from json

mindspore/ccsrc/minddata/mindrecord/include/shard_header.h

@@ -142,7 +142,7 @@ class __attribute__((visibility("default"))) ShardHeader {
 
   /// \brief get the headers from all the shard data
   /// \param[in] the shard data real path
-  /// \param[in] the headers which readed from the shard data
+  /// \param[in] the headers which read from the shard data
   /// \return SUCCESS/FAILED
   MSRStatus GetHeaders(const vector<string> &real_addresses, std::vector<json> &headers);
 

mindspore/ccsrc/minddata/mindrecord/io/shard_reader.cc

@@ -163,7 +163,7 @@ MSRStatus ShardReader::Init(const std::vector<std::string> &file_paths, bool loa
   auto disk_size = page_size_ * row_group_summary.size();
   auto compression_size = shard_header_->GetCompressionSize();
   total_blob_size_ = disk_size + compression_size;
-  MS_LOG(INFO) << "Blob data size, on disk: " << disk_size << " , addtional uncompression: " << compression_size
+  MS_LOG(INFO) << "Blob data size, on disk: " << disk_size << " , additional uncompression: " << compression_size
                << " , Total: " << total_blob_size_;
 
   MS_LOG(INFO) << "Get meta from mindrecord file & index file successfully.";

mindspore/ccsrc/minddata/mindrecord/meta/shard_column.cc

@@ -326,9 +326,9 @@ std::vector<uint8_t> ShardColumn::CompressBlob(const std::vector<uint8_t> &blob,
     auto dst_blob_slice = CompressInt(blob_slice, int_type);
     // Get new column size
     auto new_blob_size = UIntToBytesBig(dst_blob_slice.size(), kInt64Type);
-    // Append new colmn size
+    // Append new column size
     dst_blob.insert(dst_blob.end(), new_blob_size.begin(), new_blob_size.end());
-    // Append new colmn data
+    // Append new column data
     dst_blob.insert(dst_blob.end(), dst_blob_slice.begin(), dst_blob_slice.end());
     i_src += kInt64Len + num_bytes;
   }
@@ -344,7 +344,7 @@ vector<uint8_t> ShardColumn::CompressInt(const vector<uint8_t> &src_bytes, const
   // Calculate bitmap size (bytes)
   uint64_t bitmap_size = (src_n_int + kNumDataOfByte - 1) / kNumDataOfByte;
 
-  // Initilize destination blob, more space than needed, will be resized
+  // Initialize destination blob, more space than needed, will be resized
   vector<uint8_t> dst_bytes(kBytesOfColumnLen + bitmap_size + src_bytes.size(), 0);
 
   // Write number of elements to destination blob

tests/ut/cpp/dataset/common/bboxop_common.h

@@ -55,7 +55,7 @@ class BBoxOpCommon : public CVOpCommon {
 
   /// \brief Load BBox data from an XML file into a Tensor
   /// \param[in] path path to XML bbox data file
-  /// \param[inout] target_BBox pointer to a Tensor to load
+  /// \param[in, out] target_BBox pointer to a Tensor to load
   /// \return True if file loaded successfully, false if error -> logged to STD out
   bool LoadAnnotationFile(const std::string &path, std::shared_ptr<Tensor> *target_BBox);
 

tests/ut/cpp/mindrecord/ut_shard_writer_test.cc

@@ -104,7 +104,7 @@ TEST_F(TestShardWriter, TestShardWriterShiftRawPage) {
   LoadData(input_path1, json_buffer1, kMaxNum);
   MS_LOG(INFO) << "Load Meta Data Already.";
 
-  // get files' pathes stored in vector<string> image_filenames
+  // get files' paths stored in vector<string> image_filenames
   mindrecord::GetAbsoluteFiles(path_dir, image_filenames);  // get all files whose path within path_dir
   MS_LOG(INFO) << "Only process 10 file names:";
   image_filenames.resize(kMaxNum);
@@ -236,7 +236,7 @@ TEST_F(TestShardWriter, TestShardWriterTrial) {
   LoadData(input_path1, json_buffer1, kMaxNum);
   MS_LOG(INFO) << "Load Meta Data Already.";
 
-  // get files' pathes stored in vector<string> image_filenames
+  // get files' paths stored in vector<string> image_filenames
   mindrecord::GetAbsoluteFiles(path_dir, image_filenames);  // get all files whose path within path_dir
   MS_LOG(INFO) << "Only process 10 file names:";
   image_filenames.resize(kMaxNum);
@@ -375,7 +375,7 @@ TEST_F(TestShardWriter, TestShardWriterTrialNoFields) {
   LoadData(input_path1, json_buffer1, kMaxNum);
   MS_LOG(INFO) << "Load Meta Data Already.";
 
-  // get files' pathes stored in vector<string> image_filenames
+  // get files' paths stored in vector<string> image_filenames
   mindrecord::GetAbsoluteFiles(path_dir, image_filenames);  // get all files whose path within path_dir
   MS_LOG(INFO) << "Only process 10 file names:";
   image_filenames.resize(kMaxNum);
@@ -509,7 +509,7 @@ TEST_F(TestShardWriter, DataCheck) {
   LoadData(input_path1, json_buffer1, kMaxNum);
   MS_LOG(INFO) << "Load Meta Data Already.";
 
-  // get files' pathes stored in vector<string> image_filenames
+  // get files' paths stored in vector<string> image_filenames
   mindrecord::GetAbsoluteFiles(path_dir, image_filenames);  // get all files whose path within path_dir
   MS_LOG(INFO) << "Only process 10 file names:";
   image_filenames.resize(kMaxNum);
@@ -610,7 +610,7 @@ TEST_F(TestShardWriter, AllRawDataWrong) {
   LoadData(input_path1, json_buffer1, kMaxNum);
   MS_LOG(INFO) << "Load Meta Data Already.";
 
-  // get files' pathes stored in vector<string> image_filenames
+  // get files' paths stored in vector<string> image_filenames
   mindrecord::GetAbsoluteFiles(path_dir, image_filenames);  // get all files whose path within path_dir
   MS_LOG(INFO) << "Only process 10 file names:";
   image_filenames.resize(kMaxNum);

tests/ut/python/dataset/test_generator_reset_pass.py

@@ -34,7 +34,7 @@ def generator_22to24():
 
 def test_simple_repeat():
 
-    # Since numer of epoch is 1, the GeneratorPass logic will not add the reset logic.
+    # Since number of epoch is 1, the GeneratorPass logic will not add the reset logic.
     logger.info("test_simple_repeat")
     # apply dataset operations
     data1 = ds.GeneratorDataset(generator_1to2, ["data"])
@@ -59,7 +59,7 @@ def test_generator_reset_1():
     branch1 = data1.repeat(4)
     data2 = ds.GeneratorDataset(generator_10to12, ["data"])
     branch2 = data2.repeat(2)
-    branch2 = branch2.take(10)   # Meaningless opearation, just want to insert an op in between
+    branch2 = branch2.take(10)   # Meaningless operation, just want to insert an op in between
     data3 = ds.GeneratorDataset(generator_22to24, ["data"])
     branch3 = data3.repeat(3)
     branch3 = branch3.skip(1)    # Skip the first row
@@ -86,7 +86,7 @@ def test_generator_reset_2():
     branch1 = data1.repeat(3)
     data2 = ds.GeneratorDataset(generator_10to12, ["data"])
     branch2 = data2.repeat(2)
-    branch2 = branch2.take(10)   # Meaningless opearation, just want to insert an op in between
+    branch2 = branch2.take(10)   # Meaningless operation, just want to insert an op in between
     data3 = ds.GeneratorDataset(generator_22to24, ["data"])
     branch3 = data3.skip(2)    # Skip the first row
 

tests/ut/python/dataset/test_pyfunc.py

@@ -276,8 +276,8 @@ def test_pyfunc_implicit_compose():
         i = i + 4
 
 
-def test_pyfunc_execption():
-    logger.info("Test PyFunc Execption Throw: lambda x : raise Execption()")
+def test_pyfunc_exception():
+    logger.info("Test PyFunc Exception Throw: lambda x : raise Exception()")
 
     def pyfunc(x):
         raise Exception("Pyfunc Throw")
@@ -292,8 +292,8 @@ def test_pyfunc_execption():
         assert "Pyfunc Throw" in str(info.value)
 
 
-def skip_test_pyfunc_execption_multiprocess():
-    logger.info("Test Multiprocess PyFunc Execption Throw: lambda x : raise Execption()")
+def skip_test_pyfunc_Exception_multiprocess():
+    logger.info("Test Multiprocess PyFunc Exception Throw: lambda x : raise Exception()")
 
     def pyfunc(x):
         raise Exception("MP Pyfunc Throw")
@@ -320,5 +320,5 @@ if __name__ == "__main__":
     test_case_8()
     test_case_9()
     test_pyfunc_implicit_compose()
-    test_pyfunc_execption()
-    skip_test_pyfunc_execption_multiprocess()
+    test_pyfunc_exception()
+    skip_test_pyfunc_exception_multiprocess()

tests/ut/python/dataset/test_random_rotation.py

@@ -154,7 +154,7 @@ def test_random_rotation_md5():
     original_seed = config_get_set_seed(5)
     original_num_parallel_workers = config_get_set_num_parallel_workers(1)
 
-    # Fisrt dataset
+    # First dataset
     data1 = ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, columns_list=["image"], shuffle=False)
     decode_op = c_vision.Decode()
     resize_op = c_vision.RandomRotation((0, 90),

tests/ut/python/dataset/test_take.py

@@ -305,7 +305,7 @@ def test_take_16():
 
 def test_take_17():
     """
-    Test take: take first, then do fiter operation
+    Test take: take first, then do filter operation
     """
     logger.info("test_take_17")
     data1 = ds.GeneratorDataset(generator_10, ["data"])
@@ -322,7 +322,7 @@ def test_take_17():
 
 def test_take_18():
     """
-    Test take: take first, then do fiter, skip, batch and repeat operation
+    Test take: take first, then do filter, skip, batch and repeat operation
     """
     logger.info("test_take_18")
     data1 = ds.GeneratorDataset(generator_10, ["data"])

tests/ut/python/mindrecord/skip_test_issue.py

@@ -547,7 +547,7 @@ def skip_test_issue_155():
     count = 0
     for _ in reader.get_next():
         count += 1
-    assert count == 10000, "Failed to read mutiple writed data."
+    assert count == 10000, "Failed to read multiple writed data."
 
 
 def test_issue_124():

tests/ut/python/mindrecord/test_cifar100_to_mindrecord.py

@@ -46,7 +46,7 @@ def test_cifar100_to_mindrecord_without_index_fields(fixture_file):
     """test transform cifar100 dataset to mindrecord without index fields."""
     cifar100_transformer = Cifar100ToMR(CIFAR100_DIR, MINDRECORD_FILE)
     ret = cifar100_transformer.transform()
-    assert ret == SUCCESS, "Failed to tranform from cifar100 to mindrecord"
+    assert ret == SUCCESS, "Failed to transform from cifar100 to mindrecord"
     assert os.path.exists(MINDRECORD_FILE)
     assert os.path.exists(MINDRECORD_FILE + "_test")
     read()

tests/ut/python/mindrecord/test_mindrecord_exception.py

@@ -591,27 +591,27 @@ def test_write_with_invalid_data():
         writer.write_raw_data(data)
         writer.commit()
 
-    # field: label  =>  lable
+    # field: label  =>  labels
     with pytest.raises(Exception, match="Failed to write dataset"):
         remove_one_file(mindrecord_file_name)
         remove_one_file(mindrecord_file_name + ".db")
 
-        data = [{"file_name": "001.jpg", "lable": 43, "score": 0.8, "mask": np.array([3, 6, 9], dtype=np.int64),
+        data = [{"file_name": "001.jpg", "labels": 43, "score": 0.8, "mask": np.array([3, 6, 9], dtype=np.int64),
                  "segments": np.array([[5.0, 1.6], [65.2, 8.3]], dtype=np.float32),
                  "data": bytes("image bytes abc", encoding='UTF-8')},
-                {"file_name": "002.jpg", "lable": 91, "score": 5.4, "mask": np.array([1, 4, 7], dtype=np.int64),
+                {"file_name": "002.jpg", "labels": 91, "score": 5.4, "mask": np.array([1, 4, 7], dtype=np.int64),
                  "segments": np.array([[5.1, 9.1], [2.0, 65.4]], dtype=np.float32),
                  "data": bytes("image bytes def", encoding='UTF-8')},
-                {"file_name": "003.jpg", "lable": 61, "score": 6.4, "mask": np.array([7, 6, 3], dtype=np.int64),
+                {"file_name": "003.jpg", "labels": 61, "score": 6.4, "mask": np.array([7, 6, 3], dtype=np.int64),
                  "segments": np.array([[0.0, 5.6], [3.0, 16.3]], dtype=np.float32),
                  "data": bytes("image bytes ghi", encoding='UTF-8')},
-                {"file_name": "004.jpg", "lable": 29, "score": 8.1, "mask": np.array([2, 8, 0], dtype=np.int64),
+                {"file_name": "004.jpg", "labels": 29, "score": 8.1, "mask": np.array([2, 8, 0], dtype=np.int64),
                  "segments": np.array([[5.9, 7.2], [4.0, 89.0]], dtype=np.float32),
                  "data": bytes("image bytes jkl", encoding='UTF-8')},
-                {"file_name": "005.jpg", "lable": 78, "score": 7.7, "mask": np.array([3, 1, 2], dtype=np.int64),
+                {"file_name": "005.jpg", "labels": 78, "score": 7.7, "mask": np.array([3, 1, 2], dtype=np.int64),
                  "segments": np.array([[0.6, 8.1], [5.3, 49.3]], dtype=np.float32),
                  "data": bytes("image bytes mno", encoding='UTF-8')},
-                {"file_name": "006.jpg", "lable": 37, "score": 9.4, "mask": np.array([7, 6, 7], dtype=np.int64),
+                {"file_name": "006.jpg", "labels": 37, "score": 9.4, "mask": np.array([7, 6, 7], dtype=np.int64),
                  "segments": np.array([[4.2, 6.3], [8.9, 81.8]], dtype=np.float32),
                  "data": bytes("image bytes pqr", encoding='UTF-8')}
                 ]