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-rw-r--r--indra/llcommon/lltraceaccumulators.cpp350
1 files changed, 175 insertions, 175 deletions
diff --git a/indra/llcommon/lltraceaccumulators.cpp b/indra/llcommon/lltraceaccumulators.cpp
index b5b32cba38..8741087f3a 100644
--- a/indra/llcommon/lltraceaccumulators.cpp
+++ b/indra/llcommon/lltraceaccumulators.cpp
@@ -38,246 +38,246 @@ namespace LLTrace
AccumulatorBufferGroup::AccumulatorBufferGroup()
{
- LL_PROFILE_ZONE_SCOPED_CATEGORY_STATS;
+ LL_PROFILE_ZONE_SCOPED_CATEGORY_STATS;
}
AccumulatorBufferGroup::AccumulatorBufferGroup(const AccumulatorBufferGroup& other)
-: mCounts(other.mCounts),
- mSamples(other.mSamples),
- mEvents(other.mEvents),
- mStackTimers(other.mStackTimers)
+: mCounts(other.mCounts),
+ mSamples(other.mSamples),
+ mEvents(other.mEvents),
+ mStackTimers(other.mStackTimers)
{
- LL_PROFILE_ZONE_SCOPED_CATEGORY_STATS;
+ LL_PROFILE_ZONE_SCOPED_CATEGORY_STATS;
}
AccumulatorBufferGroup::~AccumulatorBufferGroup()
{
- LL_PROFILE_ZONE_SCOPED_CATEGORY_STATS;
+ LL_PROFILE_ZONE_SCOPED_CATEGORY_STATS;
}
void AccumulatorBufferGroup::handOffTo(AccumulatorBufferGroup& other)
{
- LL_PROFILE_ZONE_SCOPED_CATEGORY_STATS;
- other.mCounts.reset(&mCounts);
- other.mSamples.reset(&mSamples);
- other.mEvents.reset(&mEvents);
- other.mStackTimers.reset(&mStackTimers);
+ LL_PROFILE_ZONE_SCOPED_CATEGORY_STATS;
+ other.mCounts.reset(&mCounts);
+ other.mSamples.reset(&mSamples);
+ other.mEvents.reset(&mEvents);
+ other.mStackTimers.reset(&mStackTimers);
}
void AccumulatorBufferGroup::makeCurrent()
{
- LL_PROFILE_ZONE_SCOPED_CATEGORY_STATS;
- mCounts.makeCurrent();
- mSamples.makeCurrent();
- mEvents.makeCurrent();
- mStackTimers.makeCurrent();
-
- ThreadRecorder* thread_recorder = get_thread_recorder();
- AccumulatorBuffer<TimeBlockAccumulator>& timer_accumulator_buffer = mStackTimers;
- // update stacktimer parent pointers
- for (size_t i = 0, end_i = mStackTimers.size(); i < end_i; i++)
- {
- TimeBlockTreeNode* tree_node = thread_recorder->getTimeBlockTreeNode(narrow<size_t>(i));
- if (tree_node)
- {
- timer_accumulator_buffer[i].mParent = tree_node->mParent;
- }
- }
+ LL_PROFILE_ZONE_SCOPED_CATEGORY_STATS;
+ mCounts.makeCurrent();
+ mSamples.makeCurrent();
+ mEvents.makeCurrent();
+ mStackTimers.makeCurrent();
+
+ ThreadRecorder* thread_recorder = get_thread_recorder();
+ AccumulatorBuffer<TimeBlockAccumulator>& timer_accumulator_buffer = mStackTimers;
+ // update stacktimer parent pointers
+ for (size_t i = 0, end_i = mStackTimers.size(); i < end_i; i++)
+ {
+ TimeBlockTreeNode* tree_node = thread_recorder->getTimeBlockTreeNode(narrow<size_t>(i));
+ if (tree_node)
+ {
+ timer_accumulator_buffer[i].mParent = tree_node->mParent;
+ }
+ }
}
//static
void AccumulatorBufferGroup::clearCurrent()
{
- LL_PROFILE_ZONE_SCOPED_CATEGORY_STATS;
- AccumulatorBuffer<CountAccumulator>::clearCurrent();
- AccumulatorBuffer<SampleAccumulator>::clearCurrent();
- AccumulatorBuffer<EventAccumulator>::clearCurrent();
- AccumulatorBuffer<TimeBlockAccumulator>::clearCurrent();
+ LL_PROFILE_ZONE_SCOPED_CATEGORY_STATS;
+ AccumulatorBuffer<CountAccumulator>::clearCurrent();
+ AccumulatorBuffer<SampleAccumulator>::clearCurrent();
+ AccumulatorBuffer<EventAccumulator>::clearCurrent();
+ AccumulatorBuffer<TimeBlockAccumulator>::clearCurrent();
}
bool AccumulatorBufferGroup::isCurrent() const
{
- return mCounts.isCurrent();
+ return mCounts.isCurrent();
}
void AccumulatorBufferGroup::append( const AccumulatorBufferGroup& other )
{
- LL_PROFILE_ZONE_SCOPED_CATEGORY_STATS;
- mCounts.addSamples(other.mCounts, SEQUENTIAL);
- mSamples.addSamples(other.mSamples, SEQUENTIAL);
- mEvents.addSamples(other.mEvents, SEQUENTIAL);
- mStackTimers.addSamples(other.mStackTimers, SEQUENTIAL);
+ LL_PROFILE_ZONE_SCOPED_CATEGORY_STATS;
+ mCounts.addSamples(other.mCounts, SEQUENTIAL);
+ mSamples.addSamples(other.mSamples, SEQUENTIAL);
+ mEvents.addSamples(other.mEvents, SEQUENTIAL);
+ mStackTimers.addSamples(other.mStackTimers, SEQUENTIAL);
}
void AccumulatorBufferGroup::merge( const AccumulatorBufferGroup& other)
{
- LL_PROFILE_ZONE_SCOPED_CATEGORY_STATS;
- mCounts.addSamples(other.mCounts, NON_SEQUENTIAL);
- mSamples.addSamples(other.mSamples, NON_SEQUENTIAL);
- mEvents.addSamples(other.mEvents, NON_SEQUENTIAL);
- // for now, hold out timers from merge, need to be displayed per thread
- //mStackTimers.addSamples(other.mStackTimers, NON_SEQUENTIAL);
+ LL_PROFILE_ZONE_SCOPED_CATEGORY_STATS;
+ mCounts.addSamples(other.mCounts, NON_SEQUENTIAL);
+ mSamples.addSamples(other.mSamples, NON_SEQUENTIAL);
+ mEvents.addSamples(other.mEvents, NON_SEQUENTIAL);
+ // for now, hold out timers from merge, need to be displayed per thread
+ //mStackTimers.addSamples(other.mStackTimers, NON_SEQUENTIAL);
}
void AccumulatorBufferGroup::reset(AccumulatorBufferGroup* other)
{
- LL_PROFILE_ZONE_SCOPED_CATEGORY_STATS;
- mCounts.reset(other ? &other->mCounts : NULL);
- mSamples.reset(other ? &other->mSamples : NULL);
- mEvents.reset(other ? &other->mEvents : NULL);
- mStackTimers.reset(other ? &other->mStackTimers : NULL);
+ LL_PROFILE_ZONE_SCOPED_CATEGORY_STATS;
+ mCounts.reset(other ? &other->mCounts : NULL);
+ mSamples.reset(other ? &other->mSamples : NULL);
+ mEvents.reset(other ? &other->mEvents : NULL);
+ mStackTimers.reset(other ? &other->mStackTimers : NULL);
}
void AccumulatorBufferGroup::sync()
{
- LL_PROFILE_ZONE_SCOPED_CATEGORY_STATS;
- if (isCurrent())
- {
- F64SecondsImplicit time_stamp = LLTimer::getTotalSeconds();
- mSamples.sync(time_stamp);
- }
+ LL_PROFILE_ZONE_SCOPED_CATEGORY_STATS;
+ if (isCurrent())
+ {
+ F64SecondsImplicit time_stamp = LLTimer::getTotalSeconds();
+ mSamples.sync(time_stamp);
+ }
}
F64 SampleAccumulator::mergeSumsOfSquares(const SampleAccumulator& a, const SampleAccumulator& b)
{
- const F64 epsilon = 0.0000001;
-
- if (a.getSamplingTime() > epsilon && b.getSamplingTime() > epsilon)
- {
- // combine variance (and hence standard deviation) of 2 different sized sample groups using
- // the following formula: http://www.mrc-bsu.cam.ac.uk/cochrane/handbook/chapter_7/7_7_3_8_combining_groups.htm
- F64 n_1 = a.getSamplingTime(),
- n_2 = b.getSamplingTime();
- F64 m_1 = a.getMean(),
- m_2 = b.getMean();
- F64 v_1 = a.getSumOfSquares() / a.getSamplingTime(),
- v_2 = b.getSumOfSquares() / b.getSamplingTime();
- if (n_1 < epsilon)
- {
- return b.getSumOfSquares();
- }
- else
- {
- return a.getSamplingTime()
- * ((((n_1 - epsilon) * v_1)
- + ((n_2 - epsilon) * v_2)
- + (((n_1 * n_2) / (n_1 + n_2))
- * ((m_1 * m_1) + (m_2 * m_2) - (2.f * m_1 * m_2))))
- / (n_1 + n_2 - epsilon));
- }
- }
-
- return a.getSumOfSquares();
+ const F64 epsilon = 0.0000001;
+
+ if (a.getSamplingTime() > epsilon && b.getSamplingTime() > epsilon)
+ {
+ // combine variance (and hence standard deviation) of 2 different sized sample groups using
+ // the following formula: http://www.mrc-bsu.cam.ac.uk/cochrane/handbook/chapter_7/7_7_3_8_combining_groups.htm
+ F64 n_1 = a.getSamplingTime(),
+ n_2 = b.getSamplingTime();
+ F64 m_1 = a.getMean(),
+ m_2 = b.getMean();
+ F64 v_1 = a.getSumOfSquares() / a.getSamplingTime(),
+ v_2 = b.getSumOfSquares() / b.getSamplingTime();
+ if (n_1 < epsilon)
+ {
+ return b.getSumOfSquares();
+ }
+ else
+ {
+ return a.getSamplingTime()
+ * ((((n_1 - epsilon) * v_1)
+ + ((n_2 - epsilon) * v_2)
+ + (((n_1 * n_2) / (n_1 + n_2))
+ * ((m_1 * m_1) + (m_2 * m_2) - (2.f * m_1 * m_2))))
+ / (n_1 + n_2 - epsilon));
+ }
+ }
+
+ return a.getSumOfSquares();
}
void SampleAccumulator::addSamples( const SampleAccumulator& other, EBufferAppendType append_type )
{
- if (append_type == NON_SEQUENTIAL)
- {
- return;
- }
-
- if (!mHasValue)
- {
- *this = other;
-
- if (append_type == NON_SEQUENTIAL)
- {
- // restore own last value state
- mLastValue = NaN;
- mHasValue = false;
- }
- }
- else if (other.mHasValue)
- {
- mSum += other.mSum;
-
- if (other.mMin < mMin) { mMin = other.mMin; }
- if (other.mMax > mMax) { mMax = other.mMax; }
-
- mSumOfSquares = mergeSumsOfSquares(*this, other);
-
- if (append_type == SEQUENTIAL)
- {
- mLastValue = other.mLastValue;
- mLastSampleTimeStamp = other.mLastSampleTimeStamp;
- }
- }
+ if (append_type == NON_SEQUENTIAL)
+ {
+ return;
+ }
+
+ if (!mHasValue)
+ {
+ *this = other;
+
+ if (append_type == NON_SEQUENTIAL)
+ {
+ // restore own last value state
+ mLastValue = NaN;
+ mHasValue = false;
+ }
+ }
+ else if (other.mHasValue)
+ {
+ mSum += other.mSum;
+
+ if (other.mMin < mMin) { mMin = other.mMin; }
+ if (other.mMax > mMax) { mMax = other.mMax; }
+
+ mSumOfSquares = mergeSumsOfSquares(*this, other);
+
+ if (append_type == SEQUENTIAL)
+ {
+ mLastValue = other.mLastValue;
+ mLastSampleTimeStamp = other.mLastSampleTimeStamp;
+ }
+ }
}
void SampleAccumulator::reset( const SampleAccumulator* other )
{
- mLastValue = other ? other->mLastValue : NaN;
- mHasValue = other ? other->mHasValue : false;
- mNumSamples = 0;
- mSum = 0;
- mMin = mLastValue;
- mMax = mLastValue;
- mMean = mLastValue;
- llassert(!mHasValue || mMean < 0 || mMean >= 0);
- mSumOfSquares = 0;
- mLastSampleTimeStamp = LLTimer::getTotalSeconds();
- mTotalSamplingTime = 0;
+ mLastValue = other ? other->mLastValue : NaN;
+ mHasValue = other ? other->mHasValue : false;
+ mNumSamples = 0;
+ mSum = 0;
+ mMin = mLastValue;
+ mMax = mLastValue;
+ mMean = mLastValue;
+ llassert(!mHasValue || mMean < 0 || mMean >= 0);
+ mSumOfSquares = 0;
+ mLastSampleTimeStamp = LLTimer::getTotalSeconds();
+ mTotalSamplingTime = 0;
}
F64 EventAccumulator::mergeSumsOfSquares(const EventAccumulator& a, const EventAccumulator& b)
{
- if (a.mNumSamples && b.mNumSamples)
- {
- // combine variance (and hence standard deviation) of 2 different sized sample groups using
- // the following formula: http://www.mrc-bsu.cam.ac.uk/cochrane/handbook/chapter_7/7_7_3_8_combining_groups.htm
- F64 n_1 = a.mNumSamples,
- n_2 = b.mNumSamples;
- F64 m_1 = a.mMean,
- m_2 = b.mMean;
- F64 v_1 = a.mSumOfSquares / a.mNumSamples,
- v_2 = b.mSumOfSquares / b.mNumSamples;
- return (F64)a.mNumSamples
- * ((((n_1 - 1.f) * v_1)
- + ((n_2 - 1.f) * v_2)
- + (((n_1 * n_2) / (n_1 + n_2))
- * ((m_1 * m_1) + (m_2 * m_2) - (2.f * m_1 * m_2))))
- / (n_1 + n_2 - 1.f));
- }
-
- return a.mSumOfSquares;
+ if (a.mNumSamples && b.mNumSamples)
+ {
+ // combine variance (and hence standard deviation) of 2 different sized sample groups using
+ // the following formula: http://www.mrc-bsu.cam.ac.uk/cochrane/handbook/chapter_7/7_7_3_8_combining_groups.htm
+ F64 n_1 = a.mNumSamples,
+ n_2 = b.mNumSamples;
+ F64 m_1 = a.mMean,
+ m_2 = b.mMean;
+ F64 v_1 = a.mSumOfSquares / a.mNumSamples,
+ v_2 = b.mSumOfSquares / b.mNumSamples;
+ return (F64)a.mNumSamples
+ * ((((n_1 - 1.f) * v_1)
+ + ((n_2 - 1.f) * v_2)
+ + (((n_1 * n_2) / (n_1 + n_2))
+ * ((m_1 * m_1) + (m_2 * m_2) - (2.f * m_1 * m_2))))
+ / (n_1 + n_2 - 1.f));
+ }
+
+ return a.mSumOfSquares;
}
void EventAccumulator::addSamples( const EventAccumulator& other, EBufferAppendType append_type )
{
- if (other.mNumSamples)
- {
- if (!mNumSamples)
- {
- *this = other;
- }
- else
- {
- mSum += other.mSum;
-
- // NOTE: both conditions will hold first time through
- if (other.mMin < mMin) { mMin = other.mMin; }
- if (other.mMax > mMax) { mMax = other.mMax; }
-
- mSumOfSquares = mergeSumsOfSquares(*this, other);
-
- F64 weight = (F64)mNumSamples / (F64)(mNumSamples + other.mNumSamples);
- mNumSamples += other.mNumSamples;
- mMean = mMean * weight + other.mMean * (1.f - weight);
- if (append_type == SEQUENTIAL) mLastValue = other.mLastValue;
- }
- }
+ if (other.mNumSamples)
+ {
+ if (!mNumSamples)
+ {
+ *this = other;
+ }
+ else
+ {
+ mSum += other.mSum;
+
+ // NOTE: both conditions will hold first time through
+ if (other.mMin < mMin) { mMin = other.mMin; }
+ if (other.mMax > mMax) { mMax = other.mMax; }
+
+ mSumOfSquares = mergeSumsOfSquares(*this, other);
+
+ F64 weight = (F64)mNumSamples / (F64)(mNumSamples + other.mNumSamples);
+ mNumSamples += other.mNumSamples;
+ mMean = mMean * weight + other.mMean * (1.f - weight);
+ if (append_type == SEQUENTIAL) mLastValue = other.mLastValue;
+ }
+ }
}
void EventAccumulator::reset( const EventAccumulator* other )
{
- mNumSamples = 0;
- mSum = 0;
- mMin = F32(NaN);
- mMax = F32(NaN);
- mMean = NaN;
- mSumOfSquares = 0;
- mLastValue = other ? other->mLastValue : NaN;
+ mNumSamples = 0;
+ mSum = 0;
+ mMin = F32(NaN);
+ mMax = F32(NaN);
+ mMean = NaN;
+ mSumOfSquares = 0;
+ mLastValue = other ? other->mLastValue : NaN;
}
}