deeplearning4j/deeplearning4j

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nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java

Summary

Maintainability
F
4 days
Test Coverage

Method getDataBuffer has 82 lines of code (exceeds 25 allowed). Consider refactoring.
Open

    public static DataBuffer getDataBuffer(Value tens) {
        if(tens.isNull())
            throw new IllegalArgumentException("Native underlying tensor value was null!");
        try (PointerScope scope = new PointerScope()) {
            DataBuffer buffer = null;

    File ONNXUtils.java has 254 lines of code (exceeds 250 allowed). Consider refactoring.
    Open

    /*
     *  ******************************************************************************
     *  *
     *  *
     *  * This program and the accompanying materials are made available under the

      Method dataTypeForOnnxType has a Cognitive Complexity of 13 (exceeds 5 allowed). Consider refactoring.
      Open

          public static DataType dataTypeForOnnxType(int dataType) {
              if(dataType == dataType) {
                  return FLOAT;
              } else if(dataType == ONNX_TENSOR_ELEMENT_DATA_TYPE_INT8) {
                  return INT8;

      Cognitive Complexity

      Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.

      A method's cognitive complexity is based on a few simple rules:

      • Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
      • Code is considered more complex for each "break in the linear flow of the code"
      • Code is considered more complex when "flow breaking structures are nested"

      Further reading

      Method onnxTypeForDataType has a Cognitive Complexity of 13 (exceeds 5 allowed). Consider refactoring.
      Open

          public static int onnxTypeForDataType(DataType dataType) {
              if(dataType == FLOAT) {
                  return ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT;
              } else if(dataType == INT8) {
                  return ONNX_TENSOR_ELEMENT_DATA_TYPE_INT8;

      Cognitive Complexity

      Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.

      A method's cognitive complexity is based on a few simple rules:

      • Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
      • Code is considered more complex for each "break in the linear flow of the code"
      • Code is considered more complex when "flow breaking structures are nested"

      Further reading

      Method onnxTypeForDataType has 29 lines of code (exceeds 25 allowed). Consider refactoring.
      Open

          public static int onnxTypeForDataType(DataType dataType) {
              if(dataType == FLOAT) {
                  return ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT;
              } else if(dataType == INT8) {
                  return ONNX_TENSOR_ELEMENT_DATA_TYPE_INT8;

        Method dataTypeForOnnxType has 29 lines of code (exceeds 25 allowed). Consider refactoring.
        Open

            public static DataType dataTypeForOnnxType(int dataType) {
                if(dataType == dataType) {
                    return FLOAT;
                } else if(dataType == ONNX_TENSOR_ELEMENT_DATA_TYPE_INT8) {
                    return INT8;

          Avoid too many return statements within this method.
          Open

                      return UINT8;

            Avoid too many return statements within this method.
            Open

                    return ORT_LOGGING_LEVEL_INFO;

              Avoid too many return statements within this method.
              Open

                          return INT16;

                Avoid too many return statements within this method.
                Open

                            return UINT16;

                  Avoid too many return statements within this method.
                  Open

                              return ONNX_TENSOR_ELEMENT_DATA_TYPE_INT32;

                    Avoid too many return statements within this method.
                    Open

                                return BOOL;

                      Avoid too many return statements within this method.
                      Open

                                  return ONNX_TENSOR_ELEMENT_DATA_TYPE_DOUBLE;

                        Avoid too many return statements within this method.
                        Open

                                    return DOUBLE;

                          Avoid too many return statements within this method.
                          Open

                                      return ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT16;

                            Avoid too many return statements within this method.
                            Open

                                        return ONNX_TENSOR_ELEMENT_DATA_TYPE_BOOL;

                              Avoid too many return statements within this method.
                              Open

                                          return INT32;

                                Avoid too many return statements within this method.
                                Open

                                            return ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT;

                                  Avoid too many return statements within this method.
                                  Open

                                              return ONNX_TENSOR_ELEMENT_DATA_TYPE_INT16;

                                    Avoid too many return statements within this method.
                                    Open

                                                return INT8;

                                      Avoid too many return statements within this method.
                                      Open

                                                  return ONNX_TENSOR_ELEMENT_DATA_TYPE_INT8;

                                        Avoid too many return statements within this method.
                                        Open

                                                    return INT64;

                                          Avoid too many return statements within this method.
                                          Open

                                                      return FLOAT;

                                            Avoid too many return statements within this method.
                                            Open

                                                        return ONNX_TENSOR_ELEMENT_DATA_TYPE_INT64;

                                              Avoid too many return statements within this method.
                                              Open

                                                          return ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT8;

                                                Similar blocks of code found in 2 locations. Consider refactoring.
                                                Open

                                                    public static DataType dataTypeForOnnxType(int dataType) {
                                                        if(dataType == dataType) {
                                                            return FLOAT;
                                                        } else if(dataType == ONNX_TENSOR_ELEMENT_DATA_TYPE_INT8) {
                                                            return INT8;
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 177..207

                                                Duplicated Code

                                                Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

                                                Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

                                                When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

                                                Tuning

                                                This issue has a mass of 196.

                                                We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

                                                The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

                                                If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

                                                See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

                                                Refactorings

                                                Further Reading

                                                Similar blocks of code found in 2 locations. Consider refactoring.
                                                Open

                                                    public static int onnxTypeForDataType(DataType dataType) {
                                                        if(dataType == FLOAT) {
                                                            return ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT;
                                                        } else if(dataType == INT8) {
                                                            return ONNX_TENSOR_ELEMENT_DATA_TYPE_INT8;
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 140..170

                                                Duplicated Code

                                                Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

                                                Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

                                                When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

                                                Tuning

                                                This issue has a mass of 196.

                                                We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

                                                The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

                                                If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

                                                See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

                                                Refactorings

                                                Further Reading

                                                Similar blocks of code found in 12 locations. Consider refactoring.
                                                Open

                                                                case ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT:
                                                                    FloatPointer pFloat = tens.GetTensorMutableDataFloat().capacity(size);
                                                                    FloatIndexer floatIndexer = FloatIndexer.create(pFloat);
                                                                    buffer = Nd4j.createBuffer(pFloat, DataType.FLOAT, size, floatIndexer);
                                                                    break;
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 324..328
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 329..333
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 334..338
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 344..348
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 349..353
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 354..358
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 364..368
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 369..373
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 374..378
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 379..383
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 384..388

                                                Duplicated Code

                                                Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

                                                Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

                                                When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

                                                Tuning

                                                This issue has a mass of 52.

                                                We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

                                                The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

                                                If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

                                                See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

                                                Refactorings

                                                Further Reading

                                                Similar blocks of code found in 12 locations. Consider refactoring.
                                                Open

                                                                case ONNX_TENSOR_ELEMENT_DATA_TYPE_STRING:
                                                                    BytePointer pString = tens.GetTensorMutableDataByte().capacity(size);
                                                                    Indexer stringIndexer = ByteIndexer.create(pString);
                                                                    buffer = Nd4j.createBuffer(pString, DataType.INT8, size, stringIndexer);
                                                                    break;
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 319..323
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 324..328
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 329..333
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 334..338
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 344..348
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 349..353
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 364..368
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 369..373
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 374..378
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 379..383
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 384..388

                                                Duplicated Code

                                                Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

                                                Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

                                                When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

                                                Tuning

                                                This issue has a mass of 52.

                                                We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

                                                The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

                                                If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

                                                See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

                                                Refactorings

                                                Further Reading

                                                Similar blocks of code found in 12 locations. Consider refactoring.
                                                Open

                                                                case ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT16:
                                                                    ShortPointer pFloat16 = tens.GetTensorMutableDataShort().capacity(size);
                                                                    Indexer float16Indexer = ShortIndexer.create(pFloat16);
                                                                    buffer = Nd4j.createBuffer(pFloat16, DataType.FLOAT16, size, float16Indexer);
                                                                    break;
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 319..323
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 324..328
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 329..333
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 334..338
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 344..348
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 349..353
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 354..358
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 369..373
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 374..378
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 379..383
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 384..388

                                                Duplicated Code

                                                Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

                                                Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

                                                When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

                                                Tuning

                                                This issue has a mass of 52.

                                                We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

                                                The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

                                                If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

                                                See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

                                                Refactorings

                                                Further Reading

                                                Similar blocks of code found in 12 locations. Consider refactoring.
                                                Open

                                                                case ONNX_TENSOR_ELEMENT_DATA_TYPE_DOUBLE:
                                                                    DoublePointer pDouble = tens.GetTensorMutableDataDouble().capacity(size);
                                                                    Indexer doubleIndexer = DoubleIndexer.create(pDouble);
                                                                    buffer = Nd4j.createBuffer(pDouble, DataType.DOUBLE, size, doubleIndexer);
                                                                    break;
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 319..323
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 324..328
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 329..333
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 334..338
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 344..348
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 349..353
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 354..358
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 364..368
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 374..378
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 379..383
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 384..388

                                                Duplicated Code

                                                Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

                                                Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

                                                When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

                                                Tuning

                                                This issue has a mass of 52.

                                                We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

                                                The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

                                                If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

                                                See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

                                                Refactorings

                                                Further Reading

                                                Similar blocks of code found in 12 locations. Consider refactoring.
                                                Open

                                                                case ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT32:
                                                                    IntPointer pUint32 = tens.GetTensorMutableDataUInt().capacity(size);
                                                                    Indexer uint32Indexer = IntIndexer.create(pUint32);
                                                                    buffer = Nd4j.createBuffer(pUint32, DataType.UINT32, size, uint32Indexer);
                                                                    break;
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 319..323
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 324..328
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 329..333
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 334..338
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 344..348
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 349..353
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 354..358
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 364..368
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 369..373
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 379..383
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 384..388

                                                Duplicated Code

                                                Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

                                                Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

                                                When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

                                                Tuning

                                                This issue has a mass of 52.

                                                We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

                                                The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

                                                If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

                                                See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

                                                Refactorings

                                                Further Reading

                                                Similar blocks of code found in 12 locations. Consider refactoring.
                                                Open

                                                                case ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT8:
                                                                    BytePointer pUint8 = tens.GetTensorMutableDataUByte().capacity(size);
                                                                    Indexer uint8Indexer = ByteIndexer.create(pUint8);
                                                                    buffer = Nd4j.createBuffer(pUint8, DataType.UINT8, size, uint8Indexer);
                                                                    break;
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 319..323
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 329..333
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 334..338
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 344..348
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 349..353
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 354..358
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 364..368
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 369..373
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 374..378
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 379..383
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 384..388

                                                Duplicated Code

                                                Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

                                                Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

                                                When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

                                                Tuning

                                                This issue has a mass of 52.

                                                We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

                                                The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

                                                If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

                                                See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

                                                Refactorings

                                                Further Reading

                                                Similar blocks of code found in 12 locations. Consider refactoring.
                                                Open

                                                                case ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT64:
                                                                    LongPointer pUint64 = tens.GetTensorMutableDataULong().capacity(size);
                                                                    Indexer uint64Indexer = LongIndexer.create(pUint64);
                                                                    buffer = Nd4j.createBuffer(pUint64, DataType.UINT64, size, uint64Indexer);
                                                                    break;
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 319..323
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 324..328
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 329..333
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 334..338
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 344..348
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 349..353
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 354..358
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 364..368
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 369..373
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 374..378
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 384..388

                                                Duplicated Code

                                                Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

                                                Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

                                                When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

                                                Tuning

                                                This issue has a mass of 52.

                                                We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

                                                The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

                                                If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

                                                See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

                                                Refactorings

                                                Further Reading

                                                Similar blocks of code found in 12 locations. Consider refactoring.
                                                Open

                                                                case ONNX_TENSOR_ELEMENT_DATA_TYPE_INT8:
                                                                    BytePointer pInt8 = tens.GetTensorMutableDataByte().capacity(size);
                                                                    Indexer int8Indexer = ByteIndexer.create(pInt8);
                                                                    buffer = Nd4j.createBuffer(pInt8, DataType.UINT8, size, int8Indexer);
                                                                    break;
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 319..323
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 324..328
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 334..338
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 344..348
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 349..353
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 354..358
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 364..368
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 369..373
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 374..378
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 379..383
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 384..388

                                                Duplicated Code

                                                Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

                                                Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

                                                When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

                                                Tuning

                                                This issue has a mass of 52.

                                                We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

                                                The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

                                                If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

                                                See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

                                                Refactorings

                                                Further Reading

                                                Similar blocks of code found in 12 locations. Consider refactoring.
                                                Open

                                                                case ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT16:
                                                                    ShortPointer pUint16 = tens.GetTensorMutableDataUShort().capacity(size);
                                                                    Indexer uint16Indexer = ShortIndexer.create(pUint16);
                                                                    buffer = Nd4j.createBuffer(pUint16, DataType.UINT16, size, uint16Indexer);
                                                                    break;
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 319..323
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 324..328
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 329..333
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 344..348
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 349..353
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 354..358
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 364..368
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 369..373
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 374..378
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 379..383
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 384..388

                                                Duplicated Code

                                                Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

                                                Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

                                                When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

                                                Tuning

                                                This issue has a mass of 52.

                                                We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

                                                The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

                                                If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

                                                See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

                                                Refactorings

                                                Further Reading

                                                Similar blocks of code found in 12 locations. Consider refactoring.
                                                Open

                                                                case ONNX_TENSOR_ELEMENT_DATA_TYPE_INT32:
                                                                    IntPointer pInt32 = tens.GetTensorMutableDataInt().capacity(size);
                                                                    Indexer int32Indexer = IntIndexer.create(pInt32);
                                                                    buffer = Nd4j.createBuffer(pInt32, DataType.INT32, size, int32Indexer);
                                                                    break;
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 319..323
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 324..328
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 329..333
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 334..338
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 349..353
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 354..358
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 364..368
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 369..373
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 374..378
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 379..383
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 384..388

                                                Duplicated Code

                                                Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

                                                Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

                                                When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

                                                Tuning

                                                This issue has a mass of 52.

                                                We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

                                                The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

                                                If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

                                                See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

                                                Refactorings

                                                Further Reading

                                                Similar blocks of code found in 12 locations. Consider refactoring.
                                                Open

                                                                case ONNX_TENSOR_ELEMENT_DATA_TYPE_INT64:
                                                                    LongPointer pInt64 = tens.GetTensorMutableDataLong().capacity(size);
                                                                    Indexer int64Indexer = LongIndexer.create(pInt64);
                                                                    buffer = Nd4j.createBuffer(pInt64, DataType.INT64, size, int64Indexer);
                                                                    break;
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 319..323
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 324..328
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 329..333
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 334..338
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 344..348
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 354..358
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 364..368
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 369..373
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 374..378
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 379..383
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 384..388

                                                Duplicated Code

                                                Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

                                                Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

                                                When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

                                                Tuning

                                                This issue has a mass of 52.

                                                We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

                                                The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

                                                If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

                                                See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

                                                Refactorings

                                                Further Reading

                                                Similar blocks of code found in 12 locations. Consider refactoring.
                                                Open

                                                                case ONNX_TENSOR_ELEMENT_DATA_TYPE_BFLOAT16:
                                                                    ShortPointer pBfloat16 = tens.GetTensorMutableDataShort().capacity(size);
                                                                    Indexer bfloat16Indexer = ShortIndexer.create(pBfloat16);
                                                                    buffer = Nd4j.createBuffer(pBfloat16, DataType.BFLOAT16, size, bfloat16Indexer);
                                                                    break;
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 319..323
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 324..328
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 329..333
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 334..338
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 344..348
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 349..353
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 354..358
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 364..368
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 369..373
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 374..378
                                                nd4j/nd4j-onnxruntime/src/main/java/org/nd4j/onnxruntime/util/ONNXUtils.java on lines 379..383

                                                Duplicated Code

                                                Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

                                                Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

                                                When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

                                                Tuning

                                                This issue has a mass of 52.

                                                We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

                                                The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

                                                If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

                                                See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

                                                Refactorings

                                                Further Reading

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