deeplearning4j/deeplearning4j

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deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java

Summary

Maintainability
F
1 wk
Test Coverage

File InputTypeUtil.java has 489 lines of code (exceeds 250 allowed). Consider refactoring.
Open

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

    Method convertMultipleTypes has a Cognitive Complexity of 41 (exceeds 5 allowed). Consider refactoring.
    Open

        public static void convertMultipleTypes(InputType[] vertexInputs) {
            Counter<InputType.Type> counter = new Counter<>();
            for(int i = 0; i < vertexInputs.length; i++) {
                counter.incrementCount(vertexInputs[i].getType(),1.0);
            }

    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 getOutputTypeCnn3DLayers has 113 lines of code (exceeds 25 allowed). Consider refactoring.
    Open

        public static InputType getOutputTypeCnn3DLayers(InputType inputType, Convolution3D.DataFormat dataFormat, int[] kernelSize, int[] stride, int[] padding,
                                                         int[] dilation, ConvolutionMode convolutionMode, long outputChannels, long layerIdx,
                                                         String layerName, Class<?> layerClass) {
            if (convolutionMode == null) {
                String name = layerName == null ? "(not named)" : layerName;

      Method getOutputTypeCnn3DLayers has a Cognitive Complexity of 28 (exceeds 5 allowed). Consider refactoring.
      Open

          public static InputType getOutputTypeCnn3DLayers(InputType inputType, Convolution3D.DataFormat dataFormat, int[] kernelSize, int[] stride, int[] padding,
                                                           int[] dilation, ConvolutionMode convolutionMode, long outputChannels, long layerIdx,
                                                           String layerName, Class<?> layerClass) {
              if (convolutionMode == null) {
                  String name = layerName == null ? "(not named)" : layerName;

      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 getOutputTypeCnnLayers has a Cognitive Complexity of 27 (exceeds 5 allowed). Consider refactoring.
      Open

          public static InputType getOutputTypeCnnLayers(InputType inputType, int[] kernelSize, int[] stride, int[] padding,
                                                         int[] dilation, ConvolutionMode convolutionMode, long outputDepth, long layerIdx, String layerName,
                                                         CNN2DFormat format, Class<?> layerClass) {
      
              if (convolutionMode == null) {

      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 getOutputTypeCnnLayers has 89 lines of code (exceeds 25 allowed). Consider refactoring.
      Open

          public static InputType getOutputTypeCnnLayers(InputType inputType, int[] kernelSize, int[] stride, int[] padding,
                                                         int[] dilation, ConvolutionMode convolutionMode, long outputDepth, long layerIdx, String layerName,
                                                         CNN2DFormat format, Class<?> layerClass) {
      
              if (convolutionMode == null) {

        Method getOutputTypeCnn1DLayers has 48 lines of code (exceeds 25 allowed). Consider refactoring.
        Open

            public static InputType getOutputTypeCnn1DLayers(InputType inputType, int kH, int sH, int padH, int dilation,
                                                             ConvolutionMode convolutionMode, long outputDepth, long layerIdx, String layerName,
                                                             Class<?> layerClass) {
        
                if (convolutionMode == null) {

          Method convertMultipleTypes has 47 lines of code (exceeds 25 allowed). Consider refactoring.
          Open

              public static void convertMultipleTypes(InputType[] vertexInputs) {
                  Counter<InputType.Type> counter = new Counter<>();
                  for(int i = 0; i < vertexInputs.length; i++) {
                      counter.incrementCount(vertexInputs[i].getType(),1.0);
                  }

            Method getOutputTypeDeconv3dLayer has 38 lines of code (exceeds 25 allowed). Consider refactoring.
            Open

                public static InputType getOutputTypeDeconv3dLayer(InputType inputType, int[] kernelSize, int[] stride, int[] padding,
                                                                   int[] dilation, ConvolutionMode convolutionMode, Convolution3D.DataFormat dataFormat,
                                                                   long outputDepth, long layerIdx, String layerName, Class<?> layerClass) {
                    InputType.InputTypeConvolutional3D i = (InputType.InputTypeConvolutional3D) inputType;
            
            

              Method getOutputTypeCnn1DLayers has a Cognitive Complexity of 12 (exceeds 5 allowed). Consider refactoring.
              Open

                  public static InputType getOutputTypeCnn1DLayers(InputType inputType, int kH, int sH, int padH, int dilation,
                                                                   ConvolutionMode convolutionMode, long outputDepth, long layerIdx, String layerName,
                                                                   Class<?> layerClass) {
              
                      if (convolutionMode == null) {

              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 getOutputTypeDeconv3dLayer has 11 arguments (exceeds 4 allowed). Consider refactoring.
              Open

                  public static InputType getOutputTypeDeconv3dLayer(InputType inputType, int[] kernelSize, int[] stride, int[] padding,
                                                                     int[] dilation, ConvolutionMode convolutionMode, Convolution3D.DataFormat dataFormat,
                                                                     long outputDepth, long layerIdx, String layerName, Class<?> layerClass) {

                Method getOutputTypeCnn3DLayers has 11 arguments (exceeds 4 allowed). Consider refactoring.
                Open

                    public static InputType getOutputTypeCnn3DLayers(InputType inputType, Convolution3D.DataFormat dataFormat, int[] kernelSize, int[] stride, int[] padding,
                                                                     int[] dilation, ConvolutionMode convolutionMode, long outputChannels, long layerIdx,
                                                                     String layerName, Class<?> layerClass) {

                  Method getOutputTypeCnnLayers has 11 arguments (exceeds 4 allowed). Consider refactoring.
                  Open

                      public static InputType getOutputTypeCnnLayers(InputType inputType, int[] kernelSize, int[] stride, int[] padding,
                                                                     int[] dilation, ConvolutionMode convolutionMode, long outputDepth, long layerIdx, String layerName,
                                                                     CNN2DFormat format, Class<?> layerClass) {

                    Method getOutputTypeDeconvLayer has 10 arguments (exceeds 4 allowed). Consider refactoring.
                    Open

                        public static InputType getOutputTypeDeconvLayer(InputType inputType, int[] kernelSize, int[] stride, int[] padding,
                                                                         int[] dilation, ConvolutionMode convolutionMode, long outputDepth, long layerIdx, String layerName,
                                                                         Class<?> layerClass) {

                      Method getOutputTypeCnn1DLayers has 10 arguments (exceeds 4 allowed). Consider refactoring.
                      Open

                          public static InputType getOutputTypeCnn1DLayers(InputType inputType, int kH, int sH, int padH, int dilation,
                                                                           ConvolutionMode convolutionMode, long outputDepth, long layerIdx, String layerName,
                                                                           Class<?> layerClass) {

                        Method getOutputTypeCnnLayers has 10 arguments (exceeds 4 allowed). Consider refactoring.
                        Open

                            public static InputType getOutputTypeCnnLayers(InputType inputType, int[] kernelSize, int[] stride, int[] padding,
                                                                           int[] dilation, ConvolutionMode convolutionMode, long outputDepth, long layerIdx, String layerName,
                                                                           Class<?> layerClass) {

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

                              public static InputType getOutputTypeDeconvLayer(InputType inputType, int[] kernelSize, int[] stride, int[] padding,
                                                                               int[] dilation, ConvolutionMode convolutionMode, long outputDepth, long layerIdx, String layerName,
                                                                               Class<?> layerClass) {
                                  InputType.InputTypeConvolutional i = (InputType.InputTypeConvolutional) inputType;
                          
                          

                            Method getOutputTypeDeconv3dLayer has a Cognitive Complexity of 9 (exceeds 5 allowed). Consider refactoring.
                            Open

                                public static InputType getOutputTypeDeconv3dLayer(InputType inputType, int[] kernelSize, int[] stride, int[] padding,
                                                                                   int[] dilation, ConvolutionMode convolutionMode, Convolution3D.DataFormat dataFormat,
                                                                                   long outputDepth, long layerIdx, String layerName, Class<?> layerClass) {
                                    InputType.InputTypeConvolutional3D i = (InputType.InputTypeConvolutional3D) inputType;
                            
                            

                            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

                            Avoid deeply nested control flow statements.
                            Open

                                                        switch(vertexInputs[i].getType()) {
                                                            case RNN:
                                                                InputType.InputTypeRecurrent recurrent = (InputType.InputTypeRecurrent) vertexInputs[i];
                                                                if(recurrent.getTimeSeriesLength() == 1) {
                                                                    vertexInputs[i] = InputType.feedForward(recurrent.getSize());

                              Method getConfigErrorCommonLastLine1D has 6 arguments (exceeds 4 allowed). Consider refactoring.
                              Open

                                  private static String getConfigErrorCommonLastLine1D(InputType inputType, int kernelSize, int stride, int padding,
                                                                                       long outputDepth, ConvolutionMode convolutionMode) {

                                Method getConfigErrorCommonLastLine has 6 arguments (exceeds 4 allowed). Consider refactoring.
                                Open

                                    private static String getConfigErrorCommonLastLine(InputType inputType, int[] kernelSize, int[] stride,
                                                                                       int[] padding, long outputDepth, ConvolutionMode convolutionMode) {

                                  Avoid deeply nested control flow statements.
                                  Open

                                                              switch(vertexInputs[i].getType()) {
                                                                  case FF:
                                                                      InputType.InputTypeFeedForward ff = (InputType.InputTypeFeedForward) vertexInputs[i];
                                                                      vertexInputs[i] =  InputType.recurrent(ff.getSize(),rnnFormat);
                                                                      break;

                                    Method getOutputTypeDeconvLayer has a Cognitive Complexity of 7 (exceeds 5 allowed). Consider refactoring.
                                    Open

                                        public static InputType getOutputTypeDeconvLayer(InputType inputType, int[] kernelSize, int[] stride, int[] padding,
                                                                                         int[] dilation, ConvolutionMode convolutionMode, long outputDepth, long layerIdx, String layerName,
                                                                                         Class<?> layerClass) {
                                            InputType.InputTypeConvolutional i = (InputType.InputTypeConvolutional) inputType;
                                    
                                    

                                    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

                                    Similar blocks of code found in 5 locations. Consider refactoring.
                                    Open

                                                if ((inWidth - kW + 2 * padW) % sW != 0) {
                                                    double d = (inWidth - kW + 2 * padW) / ((double) sW) + 1.0;
                                                    String str = String.format("%.2f", d);
                                                    int truncated = (int) d;
                                                    int sameSize = (int) Math.ceil(inWidth / ((double) stride[1]));
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 203..219
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 221..237
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 239..255
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 416..431

                                    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 246.

                                    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 5 locations. Consider refactoring.
                                    Open

                                                if ((inDepth - kD + 2 * padD) % sD != 0) {
                                                    double d = (inDepth - kD + 2 * padD) / ((double) sD) + 1.0;
                                                    String str = String.format("%.2f", d);
                                                    int truncated = (int) d;
                                                    int sameSize = (int) Math.ceil(inDepth / ((double) stride[2]));
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 203..219
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 221..237
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 416..431
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 434..449

                                    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 246.

                                    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 5 locations. Consider refactoring.
                                    Open

                                                if ((inHeight - kH + 2 * padH) % sH != 0) {
                                                    double d = (inHeight - kH + 2 * padH) / ((double) sH) + 1.0;
                                                    String str = String.format("%.2f", d);
                                                    int truncated = (int) d;
                                                    int sameSize = (int) Math.ceil(inHeight / ((double) stride[0]));
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 221..237
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 239..255
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 416..431
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 434..449

                                    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 246.

                                    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 5 locations. Consider refactoring.
                                    Open

                                                if ((inHeight - kH + 2 * padH) % sH != 0) {
                                                    double d = (inHeight - kH + 2 * padH) / ((double) sH) + 1.0;
                                                    String str = String.format("%.2f", d);
                                                    int truncated = (int) d;
                                                    int sameSize = (int) Math.ceil(inHeight / ((double) stride[0]));
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 203..219
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 221..237
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 239..255
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 434..449

                                    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 246.

                                    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 5 locations. Consider refactoring.
                                    Open

                                                if ((inWidth - kW + 2 * padW) % sW != 0) {
                                                    double d = (inWidth - kW + 2 * padW) / ((double) sW) + 1.0;
                                                    String str = String.format("%.2f", d);
                                                    int truncated = (int) d;
                                                    int sameSize = (int) Math.ceil(inWidth / ((double) stride[1]));
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 203..219
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 239..255
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 416..431
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 434..449

                                    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 246.

                                    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

                                            if (kW <= 0 || padW > 0 && (padW > 0 && kW > inWidth + 2 * padW)) {
                                                throw new DL4JInvalidConfigException(getConfigErrorCommonLine(layerIdx, layerName, layerClass, false)
                                                        + " Invalid input configuration for kernel width. Require 0 < kW <= inWidth + 2*padW; got (kW="
                                                        + kW + ", inWidth=" + inWidth + ", padW=" + padW + ")\n" + getConfigErrorCommonLastLine(
                                                        inputType, kernelSize, stride, padding, outputDepth, convolutionMode));
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 399..404

                                    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 102.

                                    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

                                            if (kH <= 0 ||  padH > 0 && (padH > 0 && kH > inHeight + 2 * padH)) {
                                                throw new DL4JInvalidConfigException(getConfigErrorCommonLine(layerIdx, layerName, layerClass, true)
                                                        + " Invalid input configuration for kernel height. Require 0 < kH <= inHeight + 2*padH; got (kH="
                                                        + kH + ", inHeight=" + inHeight + ", padH=" + padH + ")\n" + getConfigErrorCommonLastLine(
                                                        inputType, kernelSize, stride, padding, outputDepth, convolutionMode));
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 407..412

                                    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 102.

                                    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 4 locations. Consider refactoring.
                                    Open

                                            if (kW <= 0 || (padW > 0 && kW > inWidth + 2 * padW)) {
                                                throw new DL4JInvalidConfigException(getConfigErrorCommonLine(layerIdx, layerName, layerClass, false)
                                                        + " Invalid input configuration for kernel width. Require 0 < kW <= inWidth + 2*padW; got (kW="
                                                        + kW + ", inWidth=" + inWidth + ", padW=" + padW + ")\n" + getConfigErrorCommonLastLine(
                                                        inputType, kernelSize, stride, padding, outputChannels, convolutionMode));
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 182..187
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 195..200
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 295..300

                                    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 94.

                                    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 4 locations. Consider refactoring.
                                    Open

                                            if (kH <= 0 || (padH > 0 && kH > inHeight + 2 * padH)) {
                                                throw new DL4JInvalidConfigException(getConfigErrorCommonLine(layerIdx, layerName, layerClass, true)
                                                        + " Invalid input configuration for kernel height. Require 0 < kH <= inHeight + 2*padH; got (kH="
                                                        + kH + ", inHeight=" + inHeight + ", padH=" + padH + ")\n"
                                                        + getConfigErrorCommonLastLine1D(inputType, kH, sH, padH, outputDepth, convolutionMode));
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 182..187
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 189..194
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 195..200

                                    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 94.

                                    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 4 locations. Consider refactoring.
                                    Open

                                            if (kD <= 0 || (padD > 0 && kD > inDepth + 2 * padD)) {
                                                throw new DL4JInvalidConfigException(getConfigErrorCommonLine(layerIdx, layerName, layerClass, false)
                                                        + " Invalid input configuration for kernel channels. Require 0 < kD <= inDepth + 2*padD; got (kD="
                                                        + kD + ", inDepth=" + inDepth + ", padD=" + padD + ")\n" + getConfigErrorCommonLastLine(
                                                        inputType, kernelSize, stride, padding, outputChannels, convolutionMode));
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 182..187
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 189..194
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 295..300

                                    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 94.

                                    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 4 locations. Consider refactoring.
                                    Open

                                            if (kH <= 0 || (padH > 0 && kH > inHeight + 2 * padH)) {
                                                throw new DL4JInvalidConfigException(getConfigErrorCommonLine(layerIdx, layerName, layerClass, true)
                                                        + " Invalid input configuration for kernel height. Require 0 < kH <= inHeight + 2*padH; got (kH="
                                                        + kH + ", inHeight=" + inHeight + ", padH=" + padH + ")\n" + getConfigErrorCommonLastLine(
                                                        inputType, kernelSize, stride, padding, outputChannels, convolutionMode));
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 189..194
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 195..200
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 295..300

                                    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 94.

                                    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

                                            if (sH <= 0 || sW <= 0 || sD <= 0) {
                                                throw new DL4JInvalidConfigException(getConfigErrorCommonLine(layerIdx, layerName, layerClass, sH <= 0)
                                                        + " Invalid strides: strides must be > 0 (strideH = " + sH + ", strideW = " + sW + ", stride = " + sD + ")"
                                                        + "\n" + getConfigErrorCommonLastLine(inputType, kernelSize, stride, padding, outputDepth,
                                                        convolutionMode));
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 175..180

                                    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 92.

                                    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

                                            if (sH <= 0 || sW <= 0 || sD <= 0) {
                                                throw new DL4JInvalidConfigException(getConfigErrorCommonLine(layerIdx, layerName, layerClass, sH <= 0)
                                                        + " Invalid strides: strides must be > 0 (strideH = " + sH + ", strideW = " + sW
                                                        + ", strideD = " + sD + ")" + "\n" + getConfigErrorCommonLastLine(inputType, kernelSize,
                                                        stride, padding, outputChannels, convolutionMode));
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 115..120

                                    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 92.

                                    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

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

                                            if (sH <= 0 || sW <= 0) {
                                                throw new DL4JInvalidConfigException(getConfigErrorCommonLine(layerIdx, layerName, layerClass, sH <= 0)
                                                        + " Invalid strides: strides must be > 0 (strideH = " + sH + ", strideW = " + sW + ")"
                                                        + "\n" + getConfigErrorCommonLastLine(inputType, kernelSize, stride, padding, outputDepth,
                                                        convolutionMode));
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 66..71

                                    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 76.

                                    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

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

                                            if (sH <= 0 || sW <= 0) {
                                                throw new DL4JInvalidConfigException(getConfigErrorCommonLine(layerIdx, layerName, layerClass, sH <= 0)
                                                        + " Invalid strides: strides must be > 0 (strideH = " + sH + ", strideW = " + sW + ")"
                                                        + "\n" + getConfigErrorCommonLastLine(inputType, kernelSize, stride, padding, outputDepth,
                                                        convolutionMode));
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 392..397

                                    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 76.

                                    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

                                    Identical blocks of code found in 3 locations. Consider refactoring.
                                    Open

                                            if (convolutionMode == null) {
                                                String name = layerName == null ? "(not named)" : layerName;
                                                throw new DL4JInvalidConfigException("Invalid configuration: convolution mode is null for layer (idx="
                                                        + layerIdx + ", name=" + name + ", type=" + layerClass.getName() + ")");
                                            }
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 276..280
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 352..356

                                    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 60.

                                    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

                                    Identical blocks of code found in 3 locations. Consider refactoring.
                                    Open

                                            if (convolutionMode == null) {
                                                String name = layerName == null ? "(not named)" : layerName;
                                                throw new DL4JInvalidConfigException("Invalid configuration: convolution mode is null for layer (idx="
                                                        + layerIdx + ", name=" + name + ", type=" + layerClass.getName() + ")");
                                            }
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 139..143
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 352..356

                                    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 60.

                                    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

                                    Identical blocks of code found in 3 locations. Consider refactoring.
                                    Open

                                            if (convolutionMode == null) {
                                                String name = layerName == null ? "(not named)" : layerName;
                                                throw new DL4JInvalidConfigException("Invalid configuration: convolution mode is null for layer (idx="
                                                        + layerIdx + ", name=" + name + ", type=" + layerClass.getName() + ")");
                                            }
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 139..143
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 276..280

                                    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 60.

                                    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 10 locations. Consider refactoring.
                                    Open

                                            if (dilation[2] != 1) {
                                                kD = kD + (kD - 1) * (dilation[2] - 1);
                                            }
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 56..58
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 59..61
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 101..103
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 104..106
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 160..163
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 164..166
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 167..169
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 382..385
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 386..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 46.

                                    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 10 locations. Consider refactoring.
                                    Open

                                            if (dilation[0] != 1) {
                                                kH = kH + (kH - 1) * (dilation[0] - 1);
                                            }
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 56..58
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 59..61
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 104..106
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 107..109
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 160..163
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 164..166
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 167..169
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 382..385
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 386..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 46.

                                    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 10 locations. Consider refactoring.
                                    Open

                                            if (dilation[0] != 1) {
                                                //Use *effective* kernel size, accounting for dilation
                                                kH = kH + (kH - 1) * (dilation[0] - 1);
                                            }
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 56..58
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 59..61
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 101..103
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 104..106
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 107..109
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 160..163
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 164..166
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 167..169
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 386..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 46.

                                    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 10 locations. Consider refactoring.
                                    Open

                                            if (dilation[1] != 1) {
                                                kW = kW + (kW - 1) * (dilation[1] - 1);
                                            }
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 56..58
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 101..103
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 104..106
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 107..109
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 160..163
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 164..166
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 167..169
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 382..385
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 386..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 46.

                                    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 10 locations. Consider refactoring.
                                    Open

                                            if (dilation[1] != 1) {
                                                kW = kW + (kW - 1) * (dilation[1] - 1);
                                            }
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 56..58
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 59..61
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 101..103
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 107..109
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 160..163
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 164..166
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 167..169
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 382..385
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 386..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 46.

                                    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 10 locations. Consider refactoring.
                                    Open

                                            if (dilation[0] != 1) {
                                                kH = kH + (kH - 1) * (dilation[0] - 1);
                                            }
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 59..61
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 101..103
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 104..106
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 107..109
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 160..163
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 164..166
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 167..169
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 382..385
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 386..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 46.

                                    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 10 locations. Consider refactoring.
                                    Open

                                            if (dilation[1] != 1) {
                                                kH = kH + (kH - 1) * (dilation[1] - 1);
                                            }
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 56..58
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 59..61
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 101..103
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 104..106
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 107..109
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 160..163
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 167..169
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 382..385
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 386..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 46.

                                    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 10 locations. Consider refactoring.
                                    Open

                                            if (dilation[2] != 1) {
                                                kW = kW + (kW - 1) * (dilation[2] - 1);
                                            }
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 56..58
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 59..61
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 101..103
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 104..106
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 107..109
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 160..163
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 164..166
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 382..385
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 386..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 46.

                                    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 10 locations. Consider refactoring.
                                    Open

                                            if (dilation[1] != 1) {
                                                kW = kW + (kW - 1) * (dilation[1] - 1);
                                            }
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 56..58
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 59..61
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 101..103
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 104..106
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 107..109
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 160..163
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 164..166
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 167..169
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 382..385

                                    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 46.

                                    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 10 locations. Consider refactoring.
                                    Open

                                            if (dilation[0] != 1) {
                                                //Use *effective* kernel size, accounting for dilation
                                                kD = kD + (kD - 1) * (dilation[0] - 1);
                                            }
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 56..58
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 59..61
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 101..103
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 104..106
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 107..109
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 164..166
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 167..169
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 382..385
                                    deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/nn/conf/layers/InputTypeUtil.java on lines 386..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 46.

                                    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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