/**
* Returns a <code>BigFraction</code> whose value is <tt>(this<sup>exponent</sup>)</tt>, returning
* the result in reduced form.
*
* @param exponent exponent to which this <code>BigFraction</code> is to be raised.
* @return <tt>this<sup>exponent</sup></tt> as a <code>BigFraction</code>.
*/
public BigFraction pow(final BigInteger exponent) {
if (exponent.compareTo(BigInteger.ZERO) < 0) {
final BigInteger eNeg = exponent.negate();
return new BigFraction(MathUtils.pow(denominator, eNeg), MathUtils.pow(numerator, eNeg));
}
return new BigFraction(
MathUtils.pow(numerator, exponent), MathUtils.pow(denominator, exponent));
}
/**
* Returns a <code>BigFraction</code> whose value is <tt>(this<sup>exponent</sup>)</tt>, returning
* the result in reduced form.
*
* @param exponent exponent to which this <code>BigFraction</code> is to be raised.
* @return <tt>this<sup>exponent</sup></tt> as a <code>BigFraction</code>.
*/
public BigFraction pow(final long exponent) {
if (exponent < 0) {
return new BigFraction(
MathUtils.pow(denominator, -exponent), MathUtils.pow(numerator, -exponent));
}
return new BigFraction(
MathUtils.pow(numerator, exponent), MathUtils.pow(denominator, exponent));
}
public void test13() throws Throwable {
java.lang.Double var0 = new java.lang.Double((-1.0d));
double[] var1 = new double[] {var0};
org.apache.commons.math.linear.OpenMapRealVector var2 =
new org.apache.commons.math.linear.OpenMapRealVector(var1);
java.lang.Double var3 = new java.lang.Double((-1.0d));
double[] var4 = new double[] {var3};
org.apache.commons.math.linear.OpenMapRealVector var5 =
new org.apache.commons.math.linear.OpenMapRealVector(var4);
org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
org.apache.commons.math.linear.OpenMapRealVector var7 =
new org.apache.commons.math.linear.OpenMapRealVector(var6);
java.lang.Double var8 = new java.lang.Double((-1.0d));
java.lang.Double var9 = new java.lang.Double(0.0d);
java.lang.Double var10 = new java.lang.Double((-1.0d));
double[] var11 = new double[] {var8, var9, var10};
org.apache.commons.math.linear.ArrayRealVector var12 =
new org.apache.commons.math.linear.ArrayRealVector(var11);
java.lang.Double var13 = new java.lang.Double((-1.0d));
java.lang.Double var14 = new java.lang.Double(0.0d);
java.lang.Double var15 = new java.lang.Double((-1.0d));
double[] var16 = new double[] {var13, var14, var15};
org.apache.commons.math.linear.ArrayRealVector var17 =
new org.apache.commons.math.linear.ArrayRealVector(var16);
org.apache.commons.math.linear.RealVector var18 =
var12.ebeDivide((org.apache.commons.math.linear.RealVector) var17);
java.lang.Double var19 = new java.lang.Double(0.0d);
java.lang.Double var20 = new java.lang.Double((-1.0d));
java.lang.Double var21 = new java.lang.Double((-1.0d));
int var22 =
org.apache.commons.math.util.MathUtils.compareTo(
(double) var19, (double) var20, (double) var21);
org.apache.commons.math.linear.RealVector var23 = var12.mapDivide((double) var20);
org.apache.commons.math.linear.RealVector var24 = var7.mapSubtractToSelf((double) var20);
double var25 = var7.getSparcity();
java.lang.Double var26 = new java.lang.Double((-1.0d));
double[] var27 = new double[] {var26};
org.apache.commons.math.linear.OpenMapRealVector var28 =
new org.apache.commons.math.linear.OpenMapRealVector(var27);
int var29 = var28.getDimension();
java.lang.Double var30 = new java.lang.Double((-1.0d));
java.lang.Double var31 = new java.lang.Double(0.0d);
java.lang.Double var32 = new java.lang.Double((-1.0d));
double[] var33 = new double[] {var30, var31, var32};
org.apache.commons.math.linear.ArrayRealVector var34 =
new org.apache.commons.math.linear.ArrayRealVector(var33);
java.lang.Double var35 = new java.lang.Double((-1.0d));
java.lang.Double var36 = new java.lang.Double(0.0d);
java.lang.Double var37 = new java.lang.Double((-1.0d));
double[] var38 = new double[] {var35, var36, var37};
org.apache.commons.math.linear.ArrayRealVector var39 =
new org.apache.commons.math.linear.ArrayRealVector(var38);
org.apache.commons.math.linear.RealVector var40 =
var34.ebeDivide((org.apache.commons.math.linear.RealVector) var39);
java.lang.Double var41 = new java.lang.Double((-1.0d));
java.lang.Double var42 = new java.lang.Double(10.0d);
java.lang.Double var43 = new java.lang.Double(100.0d);
int var44 =
org.apache.commons.math.util.MathUtils.compareTo(
(double) var41, (double) var42, (double) var43);
org.apache.commons.math.linear.RealVector var45 = var39.mapPowToSelf((double) var43);
org.apache.commons.math.linear.ArrayRealVector var46 =
new org.apache.commons.math.linear.ArrayRealVector(var29, var43);
java.lang.Double var47 = new java.lang.Double((-1.0d));
java.lang.Double var48 = new java.lang.Double(10.0d);
java.lang.Double var49 = new java.lang.Double(1.0d);
java.lang.Double var50 = new java.lang.Double(1.0d);
boolean var51 = org.apache.commons.math.util.MathUtils.equals((double) var49, (double) var50);
int var52 =
org.apache.commons.math.util.MathUtils.compareTo(
(double) var47, (double) var48, (double) var49);
java.lang.Double var53 = new java.lang.Double((-1.0d));
java.lang.Double var54 = new java.lang.Double(0.0d);
java.lang.Double var55 = new java.lang.Double((-1.0d));
double[] var56 = new double[] {var53, var54, var55};
org.apache.commons.math.linear.ArrayRealVector var57 =
new org.apache.commons.math.linear.ArrayRealVector(var56);
java.lang.Double var58 = new java.lang.Double((-1.0d));
java.lang.Double var59 = new java.lang.Double(0.0d);
java.lang.Double var60 = new java.lang.Double((-1.0d));
double[] var61 = new double[] {var58, var59, var60};
org.apache.commons.math.linear.ArrayRealVector var62 =
new org.apache.commons.math.linear.ArrayRealVector(var61);
org.apache.commons.math.linear.RealVector var63 =
var57.ebeDivide((org.apache.commons.math.linear.RealVector) var62);
org.apache.commons.math.linear.RealVector var64 = var57.mapLog10ToSelf();
java.lang.Double var65 = new java.lang.Double(1.0d);
org.apache.commons.math.linear.RealVector var66 = var57.mapMultiplyToSelf((double) var65);
double var67 = org.apache.commons.math.util.MathUtils.indicator((double) var65);
java.lang.Double var68 = new java.lang.Double((-1.0d));
java.lang.Double var69 = new java.lang.Double(10.0d);
java.lang.Double var70 = new java.lang.Double(100.0d);
int var71 =
org.apache.commons.math.util.MathUtils.compareTo(
(double) var68, (double) var69, (double) var70);
double var72 =
org.apache.commons.math.util.MathUtils.normalizeAngle((double) var65, (double) var69);
java.lang.Integer var73 = new java.lang.Integer(10);
java.lang.Integer var74 = new java.lang.Integer(10);
double var75 =
org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int) var73, (int) var74);
java.lang.Integer var76 = new java.lang.Integer(0);
java.lang.Long var77 = new java.lang.Long(100L);
int var78 = org.apache.commons.math.util.MathUtils.pow((int) var76, (long) var77);
double var79 =
org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int) var74, (int) var76);
boolean var80 =
org.apache.commons.math.util.MathUtils.equalsIncludingNaN(
(double) var49, (double) var69, (int) var76);
org.apache.commons.math.linear.RealVector var81 = var46.mapMultiplyToSelf((double) var49);
org.apache.commons.math.linear.RealVector var82 = var7.mapPow((double) var49);
// Checks the contract: equals-hashcode on var23 and var45
assertTrue(
"Contract failed: equals-hashcode on var23 and var45",
var23.equals(var45) ? var23.hashCode() == var45.hashCode() : true);
// Checks the contract: equals-hashcode on var45 and var23
assertTrue(
"Contract failed: equals-hashcode on var45 and var23",
var45.equals(var23) ? var45.hashCode() == var23.hashCode() : true);
}