Convert IntelligibilityEnhancer to multi-threaded mode

webrtc/modules/audio_processing/intelligibility/intelligibility_enhancer_unittest.cc

 /*
  *  Copyright (c) 2015 The WebRTC project authors. All Rights Reserved.
  *
  *  Use of this source code is governed by a BSD-style license
  *  that can be found in the LICENSE file in the root of the source
  *  tree. An additional intellectual property rights grant can be found
  *  in the file PATENTS.  All contributing project authors may
  *  be found in the AUTHORS file in the root of the source tree.
  */
 
@@ skipping 183 matching lines @@
 static_assert(arraysize(kTestCenterFreqs) ==
                   arraysize(kTestNonZeroVarLambdaTop),
               "Power test data badly initialized.");
 const float kMaxTestError = 0.005f;
 
 // Enhancer initialization parameters.
 const int kSamples = 1000;
 const int kSampleRate = 4000;
 const int kNumChannels = 1;
 const int kFragmentSize = kSampleRate / 100;
+const size_t kNumNoiseBins = 129;
 
 }  // namespace
 
 class IntelligibilityEnhancerTest : public ::testing::Test {
  protected:
   IntelligibilityEnhancerTest()
       : clear_data_(kSamples), noise_data_(kSamples), orig_data_(kSamples) {
-    enh_.reset(new IntelligibilityEnhancer(kSampleRate, kNumChannels));
+    enh_.reset(
+        new IntelligibilityEnhancer(kSampleRate, kNumChannels, kNumNoiseBins));
   }
 
   bool CheckUpdate() {
-    enh_.reset(new IntelligibilityEnhancer(kSampleRate, kNumChannels));
+    enh_.reset(
+        new IntelligibilityEnhancer(kSampleRate, kNumChannels, kNumNoiseBins));
     float* clear_cursor = clear_data_.data();
     float* noise_cursor = noise_data_.data();
     for (int i = 0; i < kSamples; i += kFragmentSize) {
       enh_->ProcessRenderAudio(&clear_cursor, kSampleRate, kNumChannels);
       clear_cursor += kFragmentSize;
       noise_cursor += kFragmentSize;
     }
     for (int i = 0; i < kSamples; i++) {
       if (std::fabs(clear_data_[i] - orig_data_[i]) > kMaxTestError) {
         return true;
@@ skipping 60 matching lines @@
     EXPECT_NEAR(kTestNonZeroVarLambdaTop[i], sols[i], kMaxTestError);
   }
   lambda = -1.f;
   enh_->SolveForGainsGivenLambda(lambda, enh_->start_freq_, sols.data());
   for (size_t i = 0; i < enh_->bank_size_; i++) {
     EXPECT_NEAR(kTestNonZeroVarLambdaTop[i], sols[i], kMaxTestError);
   }
 }
 
 }  // namespace webrtc