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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.commons.geometry.euclidean.oned;
import java.util.Comparator;
import java.util.function.UnaryOperator;
import org.apache.commons.geometry.core.Geometry;
import org.apache.commons.geometry.core.internal.SimpleTupleFormat;
import org.apache.commons.geometry.core.precision.DoublePrecisionContext;
import org.apache.commons.geometry.euclidean.EuclideanVector;
import org.apache.commons.geometry.euclidean.internal.Vectors;
import org.apache.commons.numbers.arrays.LinearCombination;
/** This class represents vectors and points in one-dimensional Euclidean space.
* Instances of this class are guaranteed to be immutable.
*/
public class Vector1D extends EuclideanVector<Vector1D> {
/** Zero vector (coordinates: 0). */
public static final Vector1D ZERO = new Vector1D(0.0);
// CHECKSTYLE: stop ConstantName
/** A vector with all coordinates set to NaN. */
public static final Vector1D NaN = new Vector1D(Double.NaN);
// CHECKSTYLE: resume ConstantName
/** A vector with all coordinates set to positive infinity. */
public static final Vector1D POSITIVE_INFINITY =
new Vector1D(Double.POSITIVE_INFINITY);
/** A vector with all coordinates set to negative infinity. */
public static final Vector1D NEGATIVE_INFINITY =
new Vector1D(Double.NEGATIVE_INFINITY);
/** Comparator that sorts vectors in component-wise ascending order.
* Vectors are only considered equal if their coordinates match exactly.
* Null arguments are evaluated as being greater than non-null arguments.
*/
public static final Comparator<Vector1D> COORDINATE_ASCENDING_ORDER = (a, b) -> {
int cmp = 0;
if (a != null && b != null) {
cmp = Double.compare(a.getX(), b.getX());
} else if (a != null) {
cmp = -1;
} else if (b != null) {
cmp = 1;
}
return cmp;
};
/** Abscissa (coordinate value). */
private final double x;
/** Simple constructor.
* @param x abscissa (coordinate value)
*/
private Vector1D(final double x) {
this.x = x;
}
/**
* Returns the abscissa (coordinate value) of the instance.
* @return the abscissa value
*/
public double getX() {
return x;
}
/** {@inheritDoc} */
@Override
public int getDimension() {
return 1;
}
/** {@inheritDoc} */
@Override
public boolean isNaN() {
return Double.isNaN(x);
}
/** {@inheritDoc} */
@Override
public boolean isInfinite() {
return !isNaN() && Double.isInfinite(x);
}
/** {@inheritDoc} */
@Override
public boolean isFinite() {
return Double.isFinite(x);
}
/** {@inheritDoc} */
@Override
public Vector1D vectorTo(final Vector1D v) {
return v.subtract(this);
}
/** {@inheritDoc} */
@Override
public Unit directionTo(final Vector1D v) {
return vectorTo(v).normalize();
}
/** {@inheritDoc} */
@Override
public Vector1D lerp(final Vector1D p, final double t) {
return linearCombination(1.0 - t, this, t, p);
}
/** {@inheritDoc} */
@Override
public Vector1D getZero() {
return ZERO;
}
/** {@inheritDoc} */
@Override
public double norm() {
return Vectors.norm(x);
}
/** {@inheritDoc} */
@Override
public double normSq() {
return Vectors.normSq(x);
}
/** {@inheritDoc} */
@Override
public Vector1D withNorm(final double magnitude) {
getCheckedNorm(); // validate our norm value
return (x > 0.0) ? new Vector1D(magnitude) : new Vector1D(-magnitude);
}
/** {@inheritDoc} */
@Override
public Vector1D add(final Vector1D v) {
return new Vector1D(x + v.x);
}
/** {@inheritDoc} */
@Override
public Vector1D add(final double factor, final Vector1D v) {
return new Vector1D(x + (factor * v.x));
}
/** {@inheritDoc} */
@Override
public Vector1D subtract(final Vector1D v) {
return new Vector1D(x - v.x);
}
/** {@inheritDoc} */
@Override
public Vector1D subtract(final double factor, final Vector1D v) {
return new Vector1D(x - (factor * v.x));
}
/** {@inheritDoc} */
@Override
public Vector1D negate() {
return new Vector1D(-x);
}
/** {@inheritDoc} */
@Override
public Unit normalize() {
return Unit.from(x);
}
/** {@inheritDoc} */
@Override
public Vector1D multiply(final double a) {
return new Vector1D(a * x);
}
/** {@inheritDoc} */
@Override
public double distance(final Vector1D v) {
return Vectors.norm(x - v.x);
}
/** {@inheritDoc} */
@Override
public double distanceSq(final Vector1D v) {
return Vectors.normSq(x - v.x);
}
/** {@inheritDoc} */
@Override
public double dot(final Vector1D v) {
return x * v.x;
}
/** {@inheritDoc}
* <p>For the one-dimensional case, this method returns 0 if the vector x values have
* the same sign and {@code pi} if they are opposite.</p>
*/
@Override
public double angle(final Vector1D v) {
// validate the norm values
getCheckedNorm();
v.getCheckedNorm();
final double sig1 = Math.signum(x);
final double sig2 = Math.signum(v.x);
// the angle is 0 if the x value signs are the same and pi if not
return (sig1 == sig2) ? 0.0 : Geometry.PI;
}
/** Convenience method to apply a function to this vector. This
* can be used to transform the vector inline with other methods.
* @param fn the function to apply
* @return the transformed vector
*/
public Vector1D transform(final UnaryOperator<Vector1D> fn) {
return fn.apply(this);
}
/** {@inheritDoc} */
@Override
public boolean eq(final Vector1D vec, final DoublePrecisionContext precision) {
return precision.eq(x, vec.x);
}
/**
* Get a hashCode for the vector.
* <p>All NaN values have the same hash code.</p>
*
* @return a hash code value for this object
*/
@Override
public int hashCode() {
if (isNaN()) {
return 857;
}
return 403 * Double.hashCode(x);
}
/**
* Test for the equality of two vectors.
* <p>
* If all coordinates of two vectors are exactly the same, and none are
* <code>Double.NaN</code>, the two vectors are considered to be equal.
* </p>
* <p>
* <code>NaN</code> coordinates are considered to globally affect the vector
* and be equal to each other - i.e, if either (or all) coordinates of the
* vector are equal to <code>Double.NaN</code>, the vector is equal to
* {@link #NaN}.
* </p>
*
* @param other Object to test for equality to this
* @return true if two vector objects are equal, false if
* object is null, not an instance of Vector1D, or
* not equal to this Vector1D instance
*
*/
@Override
public boolean equals(final Object other) {
if (this == other) {
return true;
}
if (other instanceof Vector1D) {
final Vector1D rhs = (Vector1D) other;
if (rhs.isNaN()) {
return this.isNaN();
}
return x == rhs.x;
}
return false;
}
/** {@inheritDoc} */
@Override
public String toString() {
return SimpleTupleFormat.getDefault().format(x);
}
/** Returns a vector with the given coordinate value.
* @param x vector coordinate
* @return vector instance
*/
public static Vector1D of(final double x) {
return new Vector1D(x);
}
/** Parses the given string and returns a new vector instance. The expected string
* format is the same as that returned by {@link #toString()}.
* @param str the string to parse
* @return vector instance represented by the string
* @throws IllegalArgumentException if the given string has an invalid format
*/
public static Vector1D parse(final String str) {
return SimpleTupleFormat.getDefault().parse(str, Vector1D::new);
}
/** Returns a vector consisting of the linear combination of the inputs.
* <p>
* A linear combination is the sum of all of the inputs multiplied by their
* corresponding scale factors.
* </p>
*
* @param a scale factor for first vector
* @param c first vector
* @return vector calculated by {@code a * c}
*/
public static Vector1D linearCombination(final double a, final Vector1D c) {
return new Vector1D(a * c.x);
}
/** Returns a vector consisting of the linear combination of the inputs.
* <p>
* A linear combination is the sum of all of the inputs multiplied by their
* corresponding scale factors.
* </p>
*
* @param a1 scale factor for first vector
* @param v1 first vector
* @param a2 scale factor for second vector
* @param v2 second vector
* @return vector calculated by {@code (a1 * v1) + (a2 * v2)}
*/
public static Vector1D linearCombination(final double a1, final Vector1D v1,
final double a2, final Vector1D v2) {
return new Vector1D(
LinearCombination.value(a1, v1.x, a2, v2.x));
}
/** Returns a vector consisting of the linear combination of the inputs.
* <p>
* A linear combination is the sum of all of the inputs multiplied by their
* corresponding scale factors.
* </p>
*
* @param a1 scale factor for first vector
* @param v1 first vector
* @param a2 scale factor for second vector
* @param v2 second vector
* @param a3 scale factor for third vector
* @param v3 third vector
* @return vector calculated by {@code (a1 * v1) + (a2 * v2) + (a3 * v3)}
*/
public static Vector1D linearCombination(final double a1, final Vector1D v1,
final double a2, final Vector1D v2,
final double a3, final Vector1D v3) {
return new Vector1D(
LinearCombination.value(a1, v1.x, a2, v2.x, a3, v3.x));
}
/** Returns a vector consisting of the linear combination of the inputs.
* <p>
* A linear combination is the sum of all of the inputs multiplied by their
* corresponding scale factors.
* </p>
*
* @param a1 scale factor for first vector
* @param v1 first vector
* @param a2 scale factor for second vector
* @param v2 second vector
* @param a3 scale factor for third vector
* @param v3 third vector
* @param a4 scale factor for fourth vector
* @param v4 fourth vector
* @return vector calculated by {@code (a1 * v1) + (a2 * v2) + (a3 * v3) + (a4 * v4)}
*/
public static Vector1D linearCombination(final double a1, final Vector1D v1,
final double a2, final Vector1D v2,
final double a3, final Vector1D v3,
final double a4, final Vector1D v4) {
return new Vector1D(
LinearCombination.value(a1, v1.x, a2, v2.x, a3, v3.x, a4, v4.x));
}
/**
* Represent unit vectors.
* This allows optimizations to be performed for certain operations.
*/
public static final class Unit extends Vector1D {
/** Unit vector (coordinates: 1). */
public static final Unit PLUS = new Unit(1d);
/** Negation of unit vector (coordinates: -1). */
public static final Unit MINUS = new Unit(-1d);
/** Simple constructor. Callers are responsible for ensuring that the given
* values represent a normalized vector.
* @param x abscissa (first coordinate value)
*/
private Unit(final double x) {
super(x);
}
/**
* Creates a normalized vector.
*
* @param x Vector coordinate.
* @return a vector whose norm is 1.
* @throws org.apache.commons.geometry.core.exception.IllegalNormException if the norm of the given value is
* zero, NaN, or infinite
*/
public static Unit from(double x) {
Vectors.checkedNorm(Vectors.norm(x));
return x > 0 ? PLUS : MINUS;
}
/**
* Creates a normalized vector.
*
* @param v Vector.
* @return a vector whose norm is 1.
* @throws org.apache.commons.geometry.core.exception.IllegalNormException if the norm of the given value is
* zero, NaN, or infinite
*/
public static Unit from(Vector1D v) {
return v instanceof Unit ?
(Unit) v :
from(v.getX());
}
/** {@inheritDoc} */
@Override
public double norm() {
return 1;
}
/** {@inheritDoc} */
@Override
public double normSq() {
return 1;
}
/** {@inheritDoc} */
@Override
public Unit normalize() {
return this;
}
/** {@inheritDoc} */
@Override
public Vector1D withNorm(final double mag) {
return multiply(mag);
}
/** {@inheritDoc} */
@Override
public Vector1D negate() {
return this == PLUS ? MINUS : PLUS;
}
}
}