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1   /*
2    * Licensed to the Apache Software Foundation (ASF) under one or more
3    * contributor license agreements.  See the NOTICE file distributed with
4    * this work for additional information regarding copyright ownership.
5    * The ASF licenses this file to You under the Apache License, Version 2.0
6    * (the "License"); you may not use this file except in compliance with
7    * the License.  You may obtain a copy of the License at
8    *
9    *      http://www.apache.org/licenses/LICENSE-2.0
10   *
11   * Unless required by applicable law or agreed to in writing, software
12   * distributed under the License is distributed on an "AS IS" BASIS,
13   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14   * See the License for the specific language governing permissions and
15   * limitations under the License.
16   */
17  package org.apache.commons.statistics.descriptive;
18  
19  /**
20   * Returns the minimum of the available values. Uses {@link Math#min(double, double) Math.min} as an
21   * underlying function to compute the {@code minimum}.
22   *
23   * <ul>
24   *   <li>The result is {@link Double#POSITIVE_INFINITY positive infinity} if no values are added.
25   *   <li>The result is {@code NaN} if any of the values is {@code NaN}.
26   *   <li>The value {@code -0.0} is considered strictly smaller than {@code 0.0}.
27   * </ul>
28   *
29   * <p>This class is designed to work with (though does not require)
30   * {@linkplain java.util.stream streams}.
31   *
32   * <p><strong>This implementation is not thread safe.</strong>
33   * If multiple threads access an instance of this class concurrently,
34   * and at least one of the threads invokes the {@link java.util.function.DoubleConsumer#accept(double) accept} or
35   * {@link StatisticAccumulator#combine(StatisticResult) combine} method, it must be synchronized externally.
36   *
37   * <p>However, it is safe to use {@link java.util.function.DoubleConsumer#accept(double) accept}
38   * and {@link StatisticAccumulator#combine(StatisticResult) combine}
39   * as {@code accumulator} and {@code combiner} functions of
40   * {@link java.util.stream.Collector Collector} on a parallel stream,
41   * because the parallel implementation of {@link java.util.stream.Stream#collect Stream.collect()}
42   * provides the necessary partitioning, isolation, and merging of results for
43   * safe and efficient parallel execution.
44   *
45   * @since 1.1
46   * @see Math#min(double, double)
47   */
48  public final class Min implements DoubleStatistic, StatisticAccumulator<Min> {
49  
50      /** Current minimum. */
51      private double minimum = Double.POSITIVE_INFINITY;
52  
53      /**
54       * Create an instance.
55       */
56      private Min() {
57          // No-op
58      }
59  
60      /**
61       * Creates an instance.
62       *
63       * <p>The initial result is {@link Double#POSITIVE_INFINITY positive infinity}.
64       *
65       * @return {@code Min} instance.
66       */
67      public static Min create() {
68          return new Min();
69      }
70  
71      /**
72       * Returns an instance populated using the input {@code values}.
73       *
74       * <p>The result is {@code NaN} if any of the values is {@code NaN}.
75       *
76       * <p>When the input is an empty array, the result is
77       * {@link Double#POSITIVE_INFINITY positive infinity}.
78       *
79       * @param values Values.
80       * @return {@code Min} instance.
81       */
82      public static Min of(double... values) {
83          return Statistics.add(new Min(), values);
84      }
85  
86      /**
87       * Returns an instance populated using the specified range of {@code values}.
88       *
89       * <p>The result is {@code NaN} if any of the values is {@code NaN}.
90       *
91       * <p>When the range is empty, the result is
92       * {@link Double#POSITIVE_INFINITY positive infinity}.
93       *
94       * @param values Values.
95       * @param from Inclusive start of the range.
96       * @param to Exclusive end of the range.
97       * @return {@code Min} instance.
98       * @throws IndexOutOfBoundsException if the sub-range is out of bounds
99       * @since 1.2
100      */
101     public static Min ofRange(double[] values, int from, int to) {
102         Statistics.checkFromToIndex(from, to, values.length);
103         return createFromRange(values, from, to);
104     }
105 
106     /**
107      * Create an instance using the specified range of {@code values}.
108      *
109      * <p>Warning: No range checks are performed.
110      *
111      * @param values Values.
112      * @param from Inclusive start of the range.
113      * @param to Exclusive end of the range.
114      * @return {@code Min} instance.
115      */
116     static Min createFromRange(double[] values, int from, int to) {
117         return Statistics.add(new Min(), values, from, to);
118     }
119 
120     /**
121      * Updates the state of the statistic to reflect the addition of {@code value}.
122      *
123      * @param value Value.
124      */
125     @Override
126     public void accept(double value) {
127         minimum = Math.min(minimum, value);
128     }
129 
130     /**
131      * Gets the minimum of all input values.
132      *
133      * <p>When no values have been added, the result is
134      * {@link Double#POSITIVE_INFINITY positive infinity}.
135      *
136      * @return minimum of all values.
137      */
138     @Override
139     public double getAsDouble() {
140         return minimum;
141     }
142 
143     @Override
144     public Min combine(Min other) {
145         accept(other.getAsDouble());
146         return this;
147     }
148 }