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Diffstat (limited to 'webrtc/modules/remote_bitrate_estimator/test/estimators/nada_unittest.cc')
-rw-r--r--webrtc/modules/remote_bitrate_estimator/test/estimators/nada_unittest.cc7
1 files changed, 4 insertions, 3 deletions
diff --git a/webrtc/modules/remote_bitrate_estimator/test/estimators/nada_unittest.cc b/webrtc/modules/remote_bitrate_estimator/test/estimators/nada_unittest.cc
index a0f56b73b7..51afae1df4 100644
--- a/webrtc/modules/remote_bitrate_estimator/test/estimators/nada_unittest.cc
+++ b/webrtc/modules/remote_bitrate_estimator/test/estimators/nada_unittest.cc
@@ -13,6 +13,7 @@
#include <algorithm>
#include <numeric>
+#include "webrtc/base/arraysize.h"
#include "webrtc/base/common.h"
#include "webrtc/base/scoped_ptr.h"
#include "webrtc/modules/remote_bitrate_estimator/test/bwe_test_framework.h"
@@ -357,7 +358,7 @@ TEST_F(NadaReceiverSideTest, FeedbackIncreasingDelay) {
// Baseline delay will be 50 ms.
// Delay signals should be: [0 10 20 30 40 50 60 70] ms.
const int64_t kMedianFilteredDelaysMs[] = {0, 5, 10, 15, 20, 30, 40, 50};
- const int kNumPackets = ARRAY_SIZE(kMedianFilteredDelaysMs);
+ const int kNumPackets = arraysize(kMedianFilteredDelaysMs);
const float kAlpha = 0.1f; // Used for exponential smoothing.
int64_t exp_smoothed_delays_ms[kNumPackets];
@@ -426,7 +427,7 @@ TEST_F(NadaReceiverSideTest, FeedbackWarpedDelay) {
// Delay signals should be: [0 200 400 600 800 1000 1200 1400] ms.
const int64_t kMedianFilteredDelaysMs[] = {
0, 100, 200, 300, 400, 600, 800, 1000};
- const int kNumPackets = ARRAY_SIZE(kMedianFilteredDelaysMs);
+ const int kNumPackets = arraysize(kMedianFilteredDelaysMs);
const float kAlpha = 0.1f; // Used for exponential smoothing.
int64_t exp_smoothed_delays_ms[kNumPackets];
@@ -480,7 +481,7 @@ TEST_F(FilterTest, ExponentialSmoothingConstantArray) {
TEST_F(FilterTest, ExponentialSmoothingInitialPertubation) {
const int64_t kSignal[] = {90000, 0, 0, 0, 0, 0};
- const int kNumElements = ARRAY_SIZE(kSignal);
+ const int kNumElements = arraysize(kSignal);
int64_t exp_smoothed[kNumElements];
ExponentialSmoothingFilter(kSignal, kNumElements, exp_smoothed);
for (int i = 1; i < kNumElements; ++i) {