Make the BWE threshold adaptive.

webrtc/modules/remote_bitrate_estimator/test/bwe_test_framework.cc

Index: webrtc/modules/remote_bitrate_estimator/test/bwe_test_framework.cc
diff --git a/webrtc/modules/remote_bitrate_estimator/test/bwe_test_framework.cc b/webrtc/modules/remote_bitrate_estimator/test/bwe_test_framework.cc
index ad1f5fd5bf0f3f4bb7f7f2d0367430d430923a66..5e66697215d4ca1644cb73ea519495fe22017561 100644
--- a/webrtc/modules/remote_bitrate_estimator/test/bwe_test_framework.cc
+++ b/webrtc/modules/remote_bitrate_estimator/test/bwe_test_framework.cc
@@ -94,33 +94,6 @@ class RateCounter {
   std::list<TimeSizePair> window_;
 };
 
-Random::Random(uint32_t seed)
-    : a_(0x531FDB97 ^ seed),
-      b_(0x6420ECA8 + seed) {
-}
-
-float Random::Rand() {
-  const float kScale = 1.0f / 0xffffffff;
-  float result = kScale * b_;
-  a_ ^= b_;
-  b_ += a_;
-  return result;
-}
-
-int Random::Gaussian(int mean, int standard_deviation) {
-  // Creating a Normal distribution variable from two independent uniform
-  // variables based on the Box-Muller transform, which is defined on the
-  // interval (0, 1], hence the mask+add below.
-  const double kPi = 3.14159265358979323846;
-  const double kScale = 1.0 / 0x80000000ul;
-  double u1 = kScale * ((a_ & 0x7ffffffful) + 1);
-  double u2 = kScale * ((b_ & 0x7ffffffful) + 1);
-  a_ ^= b_;
-  b_ += a_;
-  return static_cast<int>(mean + standard_deviation *
-      sqrt(-2 * log(u1)) * cos(2 * kPi * u2));
-}
-
 Packet::Packet()
     : flow_id_(0), creation_time_us_(-1), send_time_us_(-1), payload_size_(0) {
 }