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/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package org.apache.pdfbox.util;

import java.awt.geom.AffineTransform;

/**
 * This class will be used for matrix manipulation.
 *
 * @author Ben Litchfield
 * @version $Revision: 1.14 $
 */
public class Matrix implements Cloneable
{
    static final float[] DEFAULT_SINGLE =
    {
        1,0,0,
        0,1,0,
        0,0,1
    };

    private float[] single;

    /**
     * Constructor.
     */
    public Matrix()
    {
        single = new float[DEFAULT_SINGLE.length];
        reset();
    }

    /**
     * This method resets the numbers in this Matrix to the original values, which are
     * the values that a newly constructed Matrix would have.
     */
    public void reset()
    {
        System.arraycopy(DEFAULT_SINGLE, 0, single, 0, DEFAULT_SINGLE.length);
    }

    /**
     * Create an affine transform from this matrix's values.
     *
     * @return An affine transform with this matrix's values.
     */
    public AffineTransform createAffineTransform()
    {
        AffineTransform retval = new AffineTransform(
            single[0], single[1],
            single[3], single[4],
            single[6], single[7] );
        return retval;
    }

    /**
     * Set the values of the matrix from the AffineTransform.
     *
     * @param af The transform to get the values from.
     */
    public void setFromAffineTransform( AffineTransform af )
    {
        single[0] = (float)af.getScaleX();
        single[1] = (float)af.getShearY();
        single[3] = (float)af.getShearX();
        single[4] = (float)af.getScaleY();
        single[6] = (float)af.getTranslateX();
        single[7] = (float)af.getTranslateY();
    }

    /**
     * This will get a matrix value at some point.
     *
     * @param row The row to get the value from.
     * @param column The column to get the value from.
     *
     * @return The value at the row/column position.
     */
    public float getValue( int row, int column )
    {
        return single[row*3+column];
    }

    /**
     * This will set a value at a position.
     *
     * @param row The row to set the value at.
     * @param column the column to set the value at.
     * @param value The value to set at the position.
     */
    public void setValue( int row, int column, float value )
    {
        single[row*3+column] = value;
    }

    /**
     * Return a single dimension array of all values in the matrix.
     *
     * @return The values ot this matrix.
     */
    public float[][] getValues()
    {
        float[][] retval = new float[3][3];
        retval[0][0] = single[0];
        retval[0][1] = single[1];
        retval[0][2] = single[2];
        retval[1][0] = single[3];
        retval[1][1] = single[4];
        retval[1][2] = single[5];
        retval[2][0] = single[6];
        retval[2][1] = single[7];
        retval[2][2] = single[8];
        return retval;
    }

    /**
     * Return a single dimension array of all values in the matrix.
     *
     * @return The values ot this matrix.
     */
    public double[][] getValuesAsDouble()
    {
        double[][] retval = new double[3][3];
        retval[0][0] = single[0];
        retval[0][1] = single[1];
        retval[0][2] = single[2];
        retval[1][0] = single[3];
        retval[1][1] = single[4];
        retval[1][2] = single[5];
        retval[2][0] = single[6];
        retval[2][1] = single[7];
        retval[2][2] = single[8];
        return retval;
    }

    /**
     * This will take the current matrix and multipy it with a matrix that is passed in.
     *
     * @param b The matrix to multiply by.
     *
     * @return The result of the two multiplied matrices.
     */
    public Matrix multiply( Matrix b )
    {
        return this.multiply(b, new Matrix());
    }

    /**
     * This method multiplies this Matrix with the specified other Matrix, storing the product in the specified
     * result Matrix. By reusing Matrix instances like this, multiplication chains can be executed without having
     * to create many temporary Matrix objects.
     * 

* It is allowed to have (other == this) or (result == this) or indeed (other == result) but if this is done, * the backing float[] matrix values may be copied in order to ensure a correct product. * * @param other the second operand Matrix in the multiplication * @param result the Matrix instance into which the result should be stored. If result is null, a new Matrix * instance is created. * @return the product of the two matrices. */ public Matrix multiply( Matrix other, Matrix result ) { if (result == null) { result = new Matrix(); } if (other != null && other.single != null) { // the operands float[] thisOperand = this.single; float[] otherOperand = other.single; // We're multiplying 2 sets of floats together to produce a third, but we allow // any of these float[] instances to be the same objects. // There is the possibility then to overwrite one of the operands with result values // and therefore corrupt the result. // If either of these operands are the same float[] instance as the result, then // they need to be copied. if (this == result) { final float[] thisOrigVals = new float[this.single.length]; System.arraycopy(this.single, 0, thisOrigVals, 0, this.single.length); thisOperand = thisOrigVals; } if (other == result) { final float[] otherOrigVals = new float[other.single.length]; System.arraycopy(other.single, 0, otherOrigVals, 0, other.single.length); otherOperand = otherOrigVals; } result.single[0] = thisOperand[0] * otherOperand[0] + thisOperand[1] * otherOperand[3] + thisOperand[2] * otherOperand[6]; result.single[1] = thisOperand[0] * otherOperand[1] + thisOperand[1] * otherOperand[4] + thisOperand[2] * otherOperand[7]; result.single[2] = thisOperand[0] * otherOperand[2] + thisOperand[1] * otherOperand[5] + thisOperand[2] * otherOperand[8]; result.single[3] = thisOperand[3] * otherOperand[0] + thisOperand[4] * otherOperand[3] + thisOperand[5] * otherOperand[6]; result.single[4] = thisOperand[3] * otherOperand[1] + thisOperand[4] * otherOperand[4] + thisOperand[5] * otherOperand[7]; result.single[5] = thisOperand[3] * otherOperand[2] + thisOperand[4] * otherOperand[5] + thisOperand[5] * otherOperand[8]; result.single[6] = thisOperand[6] * otherOperand[0] + thisOperand[7] * otherOperand[3] + thisOperand[8] * otherOperand[6]; result.single[7] = thisOperand[6] * otherOperand[1] + thisOperand[7] * otherOperand[4] + thisOperand[8] * otherOperand[7]; result.single[8] = thisOperand[6] * otherOperand[2] + thisOperand[7] * otherOperand[5] + thisOperand[8] * otherOperand[8]; } return result; } /** * Create a new matrix with just the scaling operators. * * @return A new matrix with just the scaling operators. */ public Matrix extractScaling() { Matrix retval = new Matrix(); retval.single[0] = this.single[0]; retval.single[4] = this.single[4]; return retval; } /** * Convenience method to create a scaled instance. * * @param x The xscale operator. * @param y The yscale operator. * @return A new matrix with just the x/y scaling */ public static Matrix getScaleInstance( float x, float y) { Matrix retval = new Matrix(); retval.single[0] = x; retval.single[4] = y; return retval; } /** * Create a new matrix with just the translating operators. * * @return A new matrix with just the translating operators. */ public Matrix extractTranslating() { Matrix retval = new Matrix(); retval.single[6] = this.single[6]; retval.single[7] = this.single[7]; return retval; } /** * Convenience method to create a translating instance. * * @param x The x translating operator. * @param y The y translating operator. * @return A new matrix with just the x/y translating. */ public static Matrix getTranslatingInstance( float x, float y) { Matrix retval = new Matrix(); retval.single[6] = x; retval.single[7] = y; return retval; } /** * Clones this object. * @return cloned matrix as an object. */ public Object clone() { Matrix clone = new Matrix(); System.arraycopy( single, 0, clone.single, 0, 9 ); return clone; } /** * This will copy the text matrix data. * * @return a matrix that matches this one. */ public Matrix copy() { return (Matrix) clone(); } /** * This will return a string representation of the matrix. * * @return The matrix as a string. */ public String toString() { StringBuffer result = new StringBuffer( "" ); result.append( "[[" ); result.append( single[0] + "," ); result.append( single[1] + "," ); result.append( single[2] + "]["); result.append( single[3] + "," ); result.append( single[4] + "," ); result.append( single[5] + "]["); result.append( single[6] + "," ); result.append( single[7] + "," ); result.append( single[8] + "]]"); return result.toString(); } /** * Get the xscaling factor of this matrix. * @return The x-scale. */ public float getXScale() { float xScale = single[0]; /** * BM: if the trm is rotated, the calculation is a little more complicated * * The rotation matrix multiplied with the scaling matrix is: * ( x 0 0) ( cos sin 0) ( x*cos x*sin 0) * ( 0 y 0) * (-sin cos 0) = (-y*sin y*cos 0) * ( 0 0 1) ( 0 0 1) ( 0 0 1) * * So, if you want to deduce x from the matrix you take * M(0,0) = x*cos and M(0,1) = x*sin and use the theorem of Pythagoras * * sqrt(M(0,0)^2+M(0,1)^2) = * sqrt(x2*cos2+x2*sin2) = * sqrt(x2*(cos2+sin2)) = <- here is the trick cos2+sin2 is one * sqrt(x2) = * abs(x) */ if( !(single[1]==0.0f && single[3]==0.0f) ) { xScale = (float)Math.sqrt(Math.pow(single[0], 2)+ Math.pow(single[1], 2)); } return xScale; } /** * Get the y scaling factor of this matrix. * @return The y-scale factor. */ public float getYScale() { float yScale = single[4]; if( !(single[1]==0.0f && single[3]==0.0f) ) { yScale = (float)Math.sqrt(Math.pow(single[3], 2)+ Math.pow(single[4], 2)); } return yScale; } /** * Get the x position in the matrix. * @return The x-position. */ public float getXPosition() { return single[6]; } /** * Get the y position. * @return The y position. */ public float getYPosition() { return single[7]; } }





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