Revision control

Line Code
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
/* -*- Mode: C++; tab-width: 8; indent-tabs-mode: nil; c-basic-offset: 2 -*- */
/* vim: set ts=8 sts=2 et sw=2 tw=80: */
/* This Source Code Form is subject to the terms of the Mozilla Public
 * License, v. 2.0. If a copy of the MPL was not distributed with this
 * file, You can obtain one at http://mozilla.org/MPL/2.0/. */

/* A set abstraction for enumeration values. */

#ifndef mozilla_RollingMean_h_
#define mozilla_RollingMean_h_

#include "mozilla/Assertions.h"
#include "mozilla/TypeTraits.h"
#include "mozilla/Vector.h"

#include <stddef.h>

namespace mozilla {

/**
 * RollingMean<T> calculates a rolling mean of the values it is given. It
 * accumulates the total as values are added and removed. The second type
 * argument S specifies the type of the total. This may need to be a bigger
 * type in order to maintain that the sum of all values in the average doesn't
 * exceed the maximum input value.
 *
 * WARNING: Float types are not supported due to rounding errors.
 */
template<typename T, typename S>
class RollingMean
{
private:
  size_t mInsertIndex;
  size_t mMaxValues;
  Vector<T> mValues;
  S mTotal;

public:
  static_assert(!IsFloatingPoint<T>::value,
                "floating-point types are unsupported due to rounding "
                "errors");

  explicit RollingMean(size_t aMaxValues)
    : mInsertIndex(0),
      mMaxValues(aMaxValues),
      mTotal(0)
  {
    MOZ_ASSERT(aMaxValues > 0);
  }

  RollingMean& operator=(RollingMean&& aOther)
  {
    MOZ_ASSERT(this != &aOther, "self-assignment is forbidden");
    this->~RollingMean();
    new(this) RollingMean(aOther.mMaxValues);
    mInsertIndex = aOther.mInsertIndex;
    mTotal = aOther.mTotal;
    mValues.swap(aOther.mValues);
    return *this;
  }

  /**
   * Insert a value into the rolling mean.
   */
  bool insert(T aValue)
  {
    MOZ_ASSERT(mValues.length() <= mMaxValues);

    if (mValues.length() == mMaxValues) {
      mTotal = mTotal - mValues[mInsertIndex] + aValue;
      mValues[mInsertIndex] = aValue;
    } else {
      if (!mValues.append(aValue)) {
        return false;
      }
      mTotal = mTotal + aValue;
    }

    mInsertIndex = (mInsertIndex + 1) % mMaxValues;
    return true;
  }

  /**
   * Calculate the rolling mean.
   */
  T mean()
  {
    MOZ_ASSERT(!empty());
    return T(mTotal / int64_t(mValues.length()));
  }

  bool empty()
  {
    return mValues.empty();
  }

  /**
   * Remove all values from the rolling mean.
   */
  void clear()
  {
    mValues.clear();
    mInsertIndex = 0;
    mTotal = T(0);
  }

  size_t maxValues()
  {
    return mMaxValues;
  }
};

} // namespace mozilla

#endif // mozilla_RollingMean_h_