Revert of Replace the remaining scoped_ptr with unique_ptr in webrtc/modules/

webrtc/modules/rtp_rtcp/test/testFec/test_packet_masks_metrics.cc

 /*
  *  Copyright (c) 2012 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 27 matching lines @@
  * protection of FEC packets.
  *
  * The type of packet/symbol loss models considered in this test are:
  * (1) Random loss: Bernoulli process, characterized by the average loss rate.
  * (2) Bursty loss: Markov chain (Gilbert-Elliot model), characterized by two
  * parameters: average loss rate and average burst length.
 */
 
 #include <math.h>
 
-#include <memory>
-
 #include "testing/gtest/include/gtest/gtest.h"
+#include "webrtc/base/scoped_ptr.h"
 #include "webrtc/modules/rtp_rtcp/source/forward_error_correction_internal.h"
 #include "webrtc/modules/rtp_rtcp/test/testFec/average_residual_loss_xor_codes.h"
 #include "webrtc/test/testsupport/fileutils.h"
 
 namespace webrtc {
 
 // Maximum number of media packets allows for XOR (RFC 5109) code.
 enum { kMaxNumberMediaPackets = 48 };
 
 // Maximum number of media packets allowed for each mask type.
@@ skipping 124 matching lines @@
     }
     return max_gap_loss;
   }
 
   // Returns the number of recovered media packets for the XOR code, given the
   // packet mask |fec_packet_masks_|, for the loss state/configuration given by
   // |state|.
   int RecoveredMediaPackets(int num_media_packets,
                             int num_fec_packets,
                             uint8_t* state) {
-    std::unique_ptr<uint8_t[]> state_tmp(
+    rtc::scoped_ptr<uint8_t[]> state_tmp(
         new uint8_t[num_media_packets + num_fec_packets]);
     memcpy(state_tmp.get(), state, num_media_packets + num_fec_packets);
     int num_recovered_packets = 0;
     bool loop_again = true;
     while (loop_again) {
       loop_again = false;
       bool recovered_new_packet = false;
       // Check if we can recover anything: loop over all possible FEC packets.
       for (int i = 0; i < num_fec_packets; i++) {
         if (state_tmp[i + num_media_packets] == 0) {
@@ skipping 173 matching lines @@
            sizeof(double) * kNumStatesDistribution);
     memset(metrics->recovery_rate_per_loss, 0,
            sizeof(double) * 2 * kMaxMediaPacketsTest + 1);
   }
 
   // Compute the metrics for an FEC code, given by the code type |code_type|
   // (XOR-random/ bursty or RS), and by the code index |code_index|
   // (which containes the code size parameters/protection length).
   void ComputeMetricsForCode(CodeType code_type,
                              int code_index) {
-    std::unique_ptr<double[]> prob_weight(new double[kNumLossModels]);
+    rtc::scoped_ptr<double[]> prob_weight(new double[kNumLossModels]);
     memset(prob_weight.get() , 0, sizeof(double) * kNumLossModels);
     MetricsFecCode metrics_code;
     SetMetricsZero(&metrics_code);
 
     int num_media_packets = code_params_[code_index].num_media_packets;
     int num_fec_packets = code_params_[code_index].num_fec_packets;
     int tot_num_packets = num_media_packets + num_fec_packets;
-    std::unique_ptr<uint8_t[]> state(new uint8_t[tot_num_packets]);
+    rtc::scoped_ptr<uint8_t[]> state(new uint8_t[tot_num_packets]);
     memset(state.get() , 0, tot_num_packets);
 
     int num_loss_configurations = static_cast<int>(pow(2.0f, tot_num_packets));
     // Loop over all loss configurations for the symbol sequence of length
     // |tot_num_packets|. In this version we process up to (k=12, m=12) codes,
     // and get exact expressions for the residual loss.
     // TODO(marpan): For larger codes, loop over some random sample of loss
     // configurations, sampling driven by the underlying statistical loss model
     // (importance sampling).
 
@@ skipping 665 matching lines @@
                 recovery_rate_per_loss[loss_number],
                 kRecoveryRateXorRandom[2]);
       EXPECT_GE(kMetricsXorBursty[code_index].
                 recovery_rate_per_loss[loss_number],
                 kRecoveryRateXorBursty[2]);
     }
   }
 }
 
 }  // namespace webrtc