1 package org.djunits.value.vfloat.matrix;
2
3 import java.io.Serializable;
4
5 import org.djunits.unit.Unit;
6 import org.djunits.value.Relative;
7 import org.djunits.value.StorageType;
8 import org.djunits.value.ValueException;
9 import org.djunits.value.vfloat.scalar.AbstractFloatScalarRel;
10
11 /**
12 * Relative Immutable typed matrix.
13 * <p>
14 * Copyright (c) 2013-2018 Delft University of Technology, PO Box 5, 2600 AA, Delft, the Netherlands. All rights reserved. <br>
15 * BSD-style license. See <a href="http://djunits.org/docs/license.html">DJUNITS License</a>.
16 * <p>
17 * $LastChangedDate: 2015-09-29 14:14:28 +0200 (Tue, 29 Sep 2015) $, @version $Revision: 73 $, by $Author: pknoppers $, initial
18 * version Sep 5, 2015 <br>
19 * @author <a href="http://www.tbm.tudelft.nl/averbraeck">Alexander Verbraeck</a>
20 * @author <a href="http://www.tudelft.nl/pknoppers">Peter Knoppers</a>
21 * @param <U> the unit
22 * @param <R> the relative matrix type
23 * @param <MR> the mutable relative matrix type
24 * @param <S> the relative scalar type
25 */
26 abstract class AbstractFloatMatrixRel<U extends Unit<U>, R extends AbstractFloatMatrixRel<U, R, MR, S>,
27 MR extends AbstractMutableFloatMatrixRel<U, R, MR, S>, S extends AbstractFloatScalarRel<U, S>>
28 extends AbstractFloatMatrix<U, R> implements FloatMatrixInterface<U>, Relative, Serializable
29 {
30 /** */
31 private static final long serialVersionUID = 20151006L;
32
33 /**
34 * Construct a new Relative Immutable FloatMatrix.
35 * @param values float[][]; the values of the entries in the new Relative Immutable FloatMatrix
36 * @param unit U; the unit of the new Relative Immutable FloatMatrix
37 * @param storageType the data type to use (e.g., DENSE or SPARSE)
38 * @throws ValueException when values is null
39 */
40 AbstractFloatMatrixRel(final float[][] values, final U unit, final StorageType storageType) throws ValueException
41 {
42 super(unit, FloatMatrixData.instantiate(ensureRectangularAndNonEmpty(values), unit.getScale(), storageType));
43 }
44
45 /**
46 * Construct a new Relative Immutable FloatMatrix.
47 * @param values S[][]; the values of the entries in the new Relative Immutable FloatMatrix
48 * @param storageType the data type to use (e.g., DENSE or SPARSE)
49 * @throws ValueException when values has zero entries
50 */
51 AbstractFloatMatrixRel(final S[][] values, final StorageType storageType) throws ValueException
52 {
53 super(checkUnit(values), FloatMatrixData.instantiate(values, storageType));
54 }
55
56 /**
57 * Construct a new Relative Immutable FloatMatrix.
58 * @param data an internal data object
59 * @param unit the unit
60 */
61 AbstractFloatMatrixRel(final FloatMatrixData data, final U unit)
62 {
63 super(unit, data.copy());
64 }
65
66 /**
67 * Create a mutable version of this FloatMatrix. <br>
68 * The mutable version is created with a shallow copy of the data and the internal copyOnWrite flag set. The first operation
69 * in the mutable version that modifies the data shall trigger a deep copy of the data.
70 * @return MA; mutable version of this FloatMatrix
71 */
72 public MR mutable()
73 {
74 return instantiateMutableType(getData(), getUnit());
75 }
76
77 /**
78 * Construct a new Relative Immutable FloatMatrix of the right type. Each extending class must implement this method.
79 * @param dmd an internal data object
80 * @param unit the unit
81 * @return M the Mutable FloatMatrix of the right type
82 */
83 protected abstract R instantiateType(FloatMatrixData dmd, U unit);
84
85 /**
86 * Construct a new Relative Mutable FloatMatrix of the right type. Each extending class must implement this method.
87 * @param dmd an internal data object
88 * @param unit the unit
89 * @return M the Mutable FloatMatrix of the right type
90 */
91 protected abstract MR instantiateMutableType(FloatMatrixData dmd, U unit);
92
93 /**
94 * Construct a new Relative Immutable FloatScalar of the right type. Each extending class must implement this method.
95 * @param value the value
96 * @param unit the unit
97 * @return S the Immutable FloatScalar of the right type
98 */
99 protected abstract S instantiateScalar(float value, U unit);
100
101 /** {@inheritDoc} */
102 @Override
103 @SuppressWarnings("checkstyle:designforextension")
104 public final S get(final int row, final int column) throws ValueException
105 {
106 checkIndex(row, column);
107 return instantiateScalar(getInUnit(row, column, getUnit()), getUnit());
108 }
109
110 /**********************************************************************************/
111 /**************************** TYPED CALCULATION METHODS ***************************/
112 /**********************************************************************************/
113
114 /**
115 * Add a Relative value to this Relative value for a matrix or matrix. The addition is done value by value and store the
116 * result in a new Relative value. If both operands are sparse, the result is a sparse matrix or matrix, otherwise the
117 * result is a dense matrix or matrix.
118 * @param rel the right operand
119 * @return the addition of this matrix and the operand
120 * @throws ValueException in case this matrix or matrix and the operand have a different size
121 */
122 public final R plus(final R rel) throws ValueException
123 {
124 return instantiateType(this.getData().plus(rel.getData()), getUnit());
125 }
126
127 /**
128 * Subtract a Relative value from this Relative value for a matrix or matrix. The subtraction is done value by value and
129 * store the result in a new Relative value. If both operands are sparse, the result is a sparse matrix or matrix, otherwise
130 * the result is a dense matrix or matrix.
131 * @param rel the right operand
132 * @return the subtraction of this matrix and the operand
133 * @throws ValueException in case this matrix or matrix and the operand have a different size
134 */
135 public final R minus(final R rel) throws ValueException
136 {
137 return instantiateType(this.getData().minus(rel.getData()), getUnit());
138 }
139
140 /**
141 * Multiply a Relative value with this Relative value for a matrix or matrix. The multiplication is done value by value and
142 * store the result in a new Relative value. If both operands are dense, the result is a dense matrix or matrix, otherwise
143 * the result is a sparse matrix or matrix.
144 * @param rel the right operand
145 * @return the multiplication of this matrix and the operand
146 * @throws ValueException in case this matrix or matrix and the operand have a different size
147 */
148 public final R times(final R rel) throws ValueException
149 {
150 return instantiateType(this.getData().times(rel.getData()), getUnit());
151 }
152
153 /**
154 * Divide this Relative value by a Relative value for a matrix or matrix. The division is done value by value and store the
155 * result in a new Relative value. If both operands are dense, the result is a dense matrix or matrix, otherwise the result
156 * is a sparse matrix or matrix.
157 * @param rel the right operand
158 * @return the division of this matrix and the operand
159 * @throws ValueException in case this matrix or matrix and the operand have a different size
160 */
161 public final R divide(final R rel) throws ValueException
162 {
163 return instantiateType(this.getData().divide(rel.getData()), getUnit());
164 }
165
166 /* ============================================================================================ */
167 /* ============================= STATIC CONSTRUCTOR HELP METHODS ============================== */
168 /* ============================================================================================ */
169
170 /**
171 * Check that a provided array can be used to create some descendant of a FloatMatrix, and return the Unit.
172 * @param dsArray the array to check and get the unit for
173 * @param <U> the unit
174 * @param <S> the scalar type
175 * @return the unit of the object
176 * @throws ValueException when the array is null, has length equal to 0, or has first entry with length equal to 0
177 */
178 static <U extends Unit<U>, S extends AbstractFloatScalarRel<U, S>> U checkUnit(final S[][] dsArray) throws ValueException
179 {
180 ensureRectangularAndNonEmpty(dsArray);
181 return dsArray[0][0].getUnit();
182 }
183
184 /**
185 * Check that a 2D array of FloatScalar<?> is rectangular; i.e. all rows have the same length and is non empty.
186 * @param values FloatScalar<?>[][]; the 2D array to check
187 * @param <U> the unit
188 * @param <S> the scalar type
189 * @throws ValueException when values is not rectangular, or contains no data
190 */
191 protected static <U extends Unit<U>,
192 S extends AbstractFloatScalarRel<U, S>> void ensureRectangularAndNonEmpty(final S[][] values) throws ValueException
193 {
194 if (null == values)
195 {
196 throw new ValueException("Cannot create a FloatVector or MutableFloatVector from an empty array of FloatScalar");
197 }
198 if (0 == values.length || 0 == values[0].length)
199 {
200 throw new ValueException("Creating FloatVector or MutableFloatVector: "
201 + "Cannot determine unit for FloatMatrix from an empty array of FloatScalar");
202 }
203 for (int row = values.length; --row >= 1;)
204 {
205 if (values[0].length != values[row].length)
206 {
207 throw new ValueException("Creating FloatVector or MutableFloatVector: Lengths of rows are not all the same");
208 }
209 }
210 }
211
212 }