Revert of Avoid precision loss in MedianSlopeEstimator from int64_t -> double conversion

webrtc/modules/congestion_controller/median_slope_estimator.h

 /*
  *  Copyright (c) 2016 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.
  */
 #ifndef WEBRTC_MODULES_CONGESTION_CONTROLLER_MEDIAN_SLOPE_ESTIMATOR_H_
 #define WEBRTC_MODULES_CONGESTION_CONTROLLER_MEDIAN_SLOPE_ESTIMATOR_H_
 
-#include <stddef.h>
-#include <stdint.h>
-
 #include <list>
+#include <utility>
 #include <vector>
 
 #include "webrtc/base/analytics/percentile_filter.h"
 #include "webrtc/base/constructormagic.h"
+#include "webrtc/common_types.h"
 
 namespace webrtc {
 
 class MedianSlopeEstimator {
  public:
   // |window_size| is the number of points required to compute a trend line.
   // |threshold_gain| is used to scale the trendline slope for comparison to
   // the old threshold. Once the old estimator has been removed (or the
   // thresholds been merged into the estimators), we can just set the
   // threshold instead of setting a gain.
   MedianSlopeEstimator(size_t window_size, double threshold_gain);
   ~MedianSlopeEstimator();
 
   // Update the estimator with a new sample. The deltas should represent deltas
   // between timestamp groups as defined by the InterArrival class.
-  void Update(double recv_delta_ms,
-              double send_delta_ms,
-              int64_t arrival_time_ms);
+  void Update(double recv_delta_ms, double send_delta_ms, double now_ms);
 
   // Returns the estimated trend k multiplied by some gain.
   // 0 < k < 1   ->  the delay increases, queues are filling up
   //   k == 0    ->  the delay does not change
   //   k <  0    ->  the delay decreases, queues are being emptied
   double trendline_slope() const { return trendline_ * threshold_gain_; }
 
   // Returns the number of deltas which the current estimator state is based on.
   unsigned int num_of_deltas() const { return num_of_deltas_; }
 
  private:
   struct DelayInfo {
-    DelayInfo(int64_t time, double delay, size_t slope_count)
+    DelayInfo(double time, double delay, size_t slope_count)
         : time(time), delay(delay) {
       slopes.reserve(slope_count);
     }
-    int64_t time;
+    double time;
     double delay;
     std::vector<double> slopes;
   };
   // Parameters.
   const size_t window_size_;
   const double threshold_gain_;
   // Used by the existing threshold.
   unsigned int num_of_deltas_;
   // Theil-Sen robust line fitting
   double accumulated_delay_;
   std::list<DelayInfo> delay_hist_;
   PercentileFilter<double> median_filter_;
   double trendline_;
 
   RTC_DISALLOW_COPY_AND_ASSIGN(MedianSlopeEstimator);
 };
 }  // namespace webrtc
 
 #endif  // WEBRTC_MODULES_CONGESTION_CONTROLLER_MEDIAN_SLOPE_ESTIMATOR_H_