Update to current webrtc library

This is from the upstream library commit id
3326535126e435f1ba647885ce43a8f0f3d317eb, corresponding to Chromium
88.0.4290.1.

webrtc/modules/audio_processing/rms_level.cc

@@ -8,54 +8,121 @@
  *  be found in the AUTHORS file in the root of the source tree.
  */
 
-#include "webrtc/modules/audio_processing/rms_level.h"
+#include "modules/audio_processing/rms_level.h"
 
-#include <assert.h>
-#include <math.h>
+#include <algorithm>
+#include <cmath>
+#include <numeric>
+
+#include "rtc_base/checks.h"
 
 namespace webrtc {
+namespace {
+static constexpr float kMaxSquaredLevel = 32768 * 32768;
+// kMinLevel is the level corresponding to kMinLevelDb, that is 10^(-127/10).
+static constexpr float kMinLevel = 1.995262314968883e-13f;
 
-static const float kMaxSquaredLevel = 32768 * 32768;
-
-RMSLevel::RMSLevel()
-    : sum_square_(0),
-      sample_count_(0) {}
-
-RMSLevel::~RMSLevel() {}
-
-void RMSLevel::Reset() {
-  sum_square_ = 0;
-  sample_count_ = 0;
-}
-
-void RMSLevel::Process(const int16_t* data, size_t length) {
-  for (size_t i = 0; i < length; ++i) {
-    sum_square_ += data[i] * data[i];
+// Calculates the normalized RMS value from a mean square value. The input
+// should be the sum of squared samples divided by the number of samples. The
+// value will be normalized to full range before computing the RMS, wich is
+// returned as a negated dBfs. That is, 0 is full amplitude while 127 is very
+// faint.
+int ComputeRms(float mean_square) {
+  if (mean_square <= kMinLevel * kMaxSquaredLevel) {
+    // Very faint; simply return the minimum value.
+    return RmsLevel::kMinLevelDb;
   }
-  sample_count_ += length;
-}
-
-void RMSLevel::ProcessMuted(size_t length) {
-  sample_count_ += length;
-}
-
-int RMSLevel::RMS() {
-  if (sample_count_ == 0 || sum_square_ == 0) {
-    Reset();
-    return kMinLevel;
-  }
-
   // Normalize by the max level.
-  float rms = sum_square_ / (sample_count_ * kMaxSquaredLevel);
+  const float mean_square_norm = mean_square / kMaxSquaredLevel;
+  RTC_DCHECK_GT(mean_square_norm, kMinLevel);
   // 20log_10(x^0.5) = 10log_10(x)
-  rms = 10 * log10(rms);
-  assert(rms <= 0);
-  if (rms < -kMinLevel)
-    rms = -kMinLevel;
+  const float rms = 10.f * std::log10(mean_square_norm);
+  RTC_DCHECK_LE(rms, 0.f);
+  RTC_DCHECK_GT(rms, -RmsLevel::kMinLevelDb);
+  // Return the negated value.
+  return static_cast<int>(-rms + 0.5f);
+}
+}  // namespace
 
-  rms = -rms;
+RmsLevel::RmsLevel() {
   Reset();
-  return static_cast<int>(rms + 0.5);
 }
 
+RmsLevel::~RmsLevel() = default;
+
+void RmsLevel::Reset() {
+  sum_square_ = 0.f;
+  sample_count_ = 0;
+  max_sum_square_ = 0.f;
+  block_size_ = absl::nullopt;
+}
+
+void RmsLevel::Analyze(rtc::ArrayView<const int16_t> data) {
+  if (data.empty()) {
+    return;
+  }
+
+  CheckBlockSize(data.size());
+
+  const float sum_square =
+      std::accumulate(data.begin(), data.end(), 0.f,
+                      [](float a, int16_t b) { return a + b * b; });
+  RTC_DCHECK_GE(sum_square, 0.f);
+  sum_square_ += sum_square;
+  sample_count_ += data.size();
+
+  max_sum_square_ = std::max(max_sum_square_, sum_square);
+}
+
+void RmsLevel::Analyze(rtc::ArrayView<const float> data) {
+  if (data.empty()) {
+    return;
+  }
+
+  CheckBlockSize(data.size());
+
+  float sum_square = 0.f;
+
+  for (float data_k : data) {
+    int16_t tmp =
+        static_cast<int16_t>(std::min(std::max(data_k, -32768.f), 32767.f));
+    sum_square += tmp * tmp;
+  }
+  RTC_DCHECK_GE(sum_square, 0.f);
+  sum_square_ += sum_square;
+  sample_count_ += data.size();
+
+  max_sum_square_ = std::max(max_sum_square_, sum_square);
+}
+
+void RmsLevel::AnalyzeMuted(size_t length) {
+  CheckBlockSize(length);
+  sample_count_ += length;
+}
+
+int RmsLevel::Average() {
+  int rms = (sample_count_ == 0) ? RmsLevel::kMinLevelDb
+                                 : ComputeRms(sum_square_ / sample_count_);
+  Reset();
+  return rms;
+}
+
+RmsLevel::Levels RmsLevel::AverageAndPeak() {
+  // Note that block_size_ should by design always be non-empty when
+  // sample_count_ != 0. Also, the * operator of absl::optional enforces this
+  // with a DCHECK.
+  Levels levels = (sample_count_ == 0)
+                      ? Levels{RmsLevel::kMinLevelDb, RmsLevel::kMinLevelDb}
+                      : Levels{ComputeRms(sum_square_ / sample_count_),
+                               ComputeRms(max_sum_square_ / *block_size_)};
+  Reset();
+  return levels;
+}
+
+void RmsLevel::CheckBlockSize(size_t block_size) {
+  if (block_size_ != block_size) {
+    Reset();
+    block_size_ = block_size;
+  }
+}
 }  // namespace webrtc