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package com.sun.scenario.effect.impl.state;

import com.sun.javafx.geom.Rectangle;
import com.sun.javafx.geom.transform.BaseTransform;

The helper class for defining a 1 dimensional linear convolution kernel
for either the LinearConvolve or LinearConvolveShadow shaders.
This class is abstract and must be subclassed for specific linear
convolutions.
/**
 * The helper class for defining a 1 dimensional linear convolution kernel
 * for either the LinearConvolve or LinearConvolveShadow shaders.
 * This class is abstract and must be subclassed for specific linear
 * convolutions.
 */
public abstract class LinearConvolveKernel {
    
Returns true if this is a LinearConvolveShadow operation, or false
if the operation is a regular LinearConvolve.
Returns:
true if this is a Shadow operation/**
     * Returns true if this is a LinearConvolveShadow operation, or false
     * if the operation is a regular LinearConvolve.
     *
     * @return true if this is a Shadow operation
     */
    public boolean isShadow() {
        return false;
    }

    
Returns true if the entire operation of this linear convolution
would have no effect on the source data.
Returns:
true if the operation is a NOP/**
     * Returns true if the entire operation of this linear convolution
     * would have no effect on the source data.
     *
     * @return true if the operation is a NOP
     */
    public boolean isNop() {
        return false;
    }

    
Returns the size of the output image needed for a given input
image dimensions and a given pass of the algorithm.
Params:
srcdimension – the bounds of the input image
pass – the algorithm pass being performed
Returns:
the bounds of the result image/**
     * Returns the size of the output image needed for a given input
     * image dimensions and a given pass of the algorithm.
     *
     * @param srcdimension the bounds of the input image
     * @param pass the algorithm pass being performed
     * @return the bounds of the result image
     */
    public abstract Rectangle getResultBounds(Rectangle srcdimension, int pass);

    
Returns the size of the kernel for a given pass.
Params:
pass – the pass of the algorithm being performed
Returns:
the size of the kernel for the given pass/**
     * Returns the size of the kernel for a given pass.
     *
     * @param pass the pass of the algorithm being performed
     * @return the size of the kernel for the given pass
     */
    public abstract int getKernelSize(int pass);

    public abstract LinearConvolveRenderState getRenderState(BaseTransform filtertx);
}