MATH-1569: Manual array copy. (#219)
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@ -663,8 +663,8 @@ public class Dfp implements RealFieldElement<Dfp> {
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/** Shift the mantissa left, and adjust the exponent to compensate.
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*/
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protected void shiftLeft() {
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for (int i = mant.length - 1; i > 0; i--) {
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mant[i] = mant[i - 1];
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if (mant.length - 1 > 0) {
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System.arraycopy(mant, 0, mant, 1, mant.length - 1);
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}
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mant[0] = 0;
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exp--;
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@ -675,8 +675,8 @@ public class Dfp implements RealFieldElement<Dfp> {
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/** Shift the mantissa right, and adjust the exponent to compensate.
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*/
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protected void shiftRight() {
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for (int i = 0; i < mant.length - 1; i++) {
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mant[i] = mant[i + 1];
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if (mant.length - 1 > 0) {
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System.arraycopy(mant, 1, mant, 0, mant.length - 1);
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}
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mant[mant.length - 1] = 0;
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exp++;
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@ -1849,9 +1849,7 @@ public class Dfp implements RealFieldElement<Dfp> {
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/* move the remainder into the dividend while left shifting */
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dividend[0] = 0;
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for (int i = 0; i < mant.length; i++) {
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dividend[i + 1] = remainder[i];
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}
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System.arraycopy(remainder, 0, dividend, 1, mant.length);
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}
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/* Find the most sig digit */
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@ -273,10 +273,7 @@ public class LaguerreSolver extends AbstractPolynomialSolver {
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throw new NoDataException(LocalizedFormats.POLYNOMIAL);
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}
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// Coefficients for deflated polynomial.
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final Complex[] c = new Complex[n + 1];
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for (int i = 0; i <= n; i++) {
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c[i] = coefficients[i];
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}
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final Complex[] c = coefficients.clone();
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// Solve individual roots successively.
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final Complex[] root = new Complex[n];
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@ -349,9 +349,7 @@ public class LevenbergMarquardtOptimizer implements LeastSquaresOptimizer {
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//residuals already have weights applied
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double[] weightedResidual = currentResiduals;
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for (int i = 0; i < nR; i++) {
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qtf[i] = weightedResidual[i];
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}
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System.arraycopy(weightedResidual, 0, qtf, 0, nR);
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// compute Qt.res
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qTy(qtf, internalData);
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@ -150,9 +150,7 @@ class HessenbergTransformer {
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}
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// copy upper triangular part of the matrix
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for (int j = i; j < m; ++j) {
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h[i][j] = householderVectors[i][j];
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}
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System.arraycopy(householderVectors[i], i, h[i], i, m - i);
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}
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cachedH = MatrixUtils.createRealMatrix(h);
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}
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@ -170,9 +170,9 @@ public final class AdamsNordsieckFieldTransformer<T extends RealFieldElement<T>>
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// Nordsieck to multistep, then shifting rows to represent step advance
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// then applying inverse transform
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T[][] shiftedP = bigP.getData();
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for (int i = shiftedP.length - 1; i > 0; --i) {
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// shift rows
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shiftedP[i] = shiftedP[i - 1];
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// shift rows
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if (shiftedP.length - 1 > 0){
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System.arraycopy(shiftedP, 0, shiftedP, 1, shiftedP.length - 1);
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}
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shiftedP[0] = MathArrays.buildArray(field, rows);
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Arrays.fill(shiftedP[0], field.getZero());
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@ -752,8 +752,8 @@ public class CMAESOptimizer
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* @param val Current best fitness value.
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*/
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private static void push(double[] vals, double val) {
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for (int i = vals.length-1; i > 0; i--) {
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vals[i] = vals[i-1];
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if (vals.length - 1 > 0) {
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System.arraycopy(vals, 0, vals, 1, vals.length - 1);
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}
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vals[0] = val;
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}
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@ -235,9 +235,7 @@ public class NeuronSquareMesh2D
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public synchronized NeuronSquareMesh2D copy() {
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final long[][] idGrid = new long[numberOfRows][numberOfColumns];
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for (int r = 0; r < numberOfRows; r++) {
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for (int c = 0; c < numberOfColumns; c++) {
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idGrid[r][c] = identifiers[r][c];
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}
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System.arraycopy(identifiers[r], 0, idGrid[r], 0, numberOfColumns);
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}
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return new NeuronSquareMesh2D(wrapRows,
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@ -44,7 +44,7 @@
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<suppress checks="UnnecessaryParentheses" files=".*[/\\]SparseGradient\.java$" lines="385,396" />
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<suppress checks="UnnecessaryParentheses" files=".*[/\\]DerivativeStructure\.java$" lines="468,481" />
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<suppress checks="UnnecessaryParentheses" files=".*[/\\]SimpleCurveFitter\.java$" lines="321-322" />
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<suppress checks="UnnecessaryParentheses" files=".*[/\\]LevenbergMarquardtOptimizer\.java$" lines="527,741" />
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<suppress checks="UnnecessaryParentheses" files=".*[/\\]LevenbergMarquardtOptimizer\.java$" lines="525,739" />
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<suppress checks="UnnecessaryParentheses" files=".*[/\\]EnumeratedDistribution\.java$" lines="128-129" />
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<suppress checks="UnnecessaryParentheses" files=".*[/\\]SimpleRegression\.java$" lines="823" />
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<suppress checks="UnnecessaryParentheses" files=".*[/\\]MillerUpdatingRegression\.java$" lines="172-173" />
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