Adding upstream version 115.7.0esr.upstream/115.7.0esrupstream

Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>

1 files changed, 93 insertions, 0 deletions

diff --git a/mfbt/RollingMean.h b/mfbt/RollingMean.h
new file mode 100644
index 0000000000..f971b1fb13
--- /dev/null
+++ b/mfbt/RollingMean.h
@@ -0,0 +1,93 @@
+/* -*- 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/. */
+
+/* Calculate the rolling mean of a series of values. */
+
+#ifndef mozilla_RollingMean_h_
+#define mozilla_RollingMean_h_
+
+#include "mozilla/Assertions.h"
+#include "mozilla/Vector.h"
+
+#include <stddef.h>
+#include <type_traits>
+
+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(!std::is_floating_point_v<T>,
+                "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) = default;
+
+  /**
+   * 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() const {
+    MOZ_ASSERT(!empty());
+    return T(mTotal / int64_t(mValues.length()));
+  }
+
+  bool empty() const { return mValues.empty(); }
+
+  /**
+   * Remove all values from the rolling mean.
+   */
+  void clear() {
+    mValues.clear();
+    mInsertIndex = 0;
+    mTotal = T(0);
+  }
+
+  size_t maxValues() const { return mMaxValues; }
+};
+
+}  // namespace mozilla
+
+#endif  // mozilla_RollingMean_h_