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https://github.com/nillerusr/source-engine.git
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223 lines
5.7 KiB
C
223 lines
5.7 KiB
C
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//========= Copyright Valve Corporation, All rights reserved. ============//
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//
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// Purpose:
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//
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//=============================================================================//
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#ifndef SMOOTH_AVERAGE_H
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#define SMOOTH_AVERAGE_H
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#ifdef _WIN32
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#pragma once
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#endif
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#include "utldict.h"
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// Use this macro around any value, and it'll queue up the results given to it nTimes and
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// provide a running average.
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#define SMOOTH_AVERAGE( value, nCount ) CalcSmoothAverage( value, nCount, __FILE__, __LINE__ )
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// Same as their counterpart functions but they return more info in a CTimingInfo structure.
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#define SMOOTH_AVERAGE_STRUCT( value, nCount ) CalcSmoothAverage_Struct( value, nCount, __FILE__, __LINE__ )
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#define SUM_OVER_TIME_INTERVAL_STRUCT( value, nSeconds ) SumOverTimeInterval_Struct( value, nSeconds, __FILE__, __LINE__ )
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template< class T >
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class CTimingInfo
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{
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public:
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T m_AverageValue; // Note: this will be the SUM of the values if using SUM_OVER_TIME_INTERVAL.
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// The high and low points for m_AverageValue over the time interval.
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T m_HighAverage;
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T m_LowAverage;
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// The high and low points for the value itself over the time interval.
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T m_HighValue;
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T m_LowValue;
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};
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template< class T >
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class CAveragesInfo
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{
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public:
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class CEntry
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{
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public:
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T m_Average;
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T m_Value;
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};
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public:
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CUtlVector< CEntry > m_Values;
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int m_iCurValue;
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};
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template< class T >
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class CAveragesInfo_TimeBased
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{
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public:
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class CEntry
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{
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public:
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CCycleCount m_Time; // When this sample was taken.
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T m_Value;
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T m_Average;
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};
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CUtlVector<CEntry> m_Values;
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};
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#if 0
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template< class T >
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inline CTimingInfo< T > CalcSmoothAverage_Struct( const T &value, int nTimes, const char *pFilename, int iLine )
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{
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// Find an entry at this file and line.
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char fullStr[1024];
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Q_snprintf( fullStr, sizeof( fullStr ), "%s_%i", pFilename, iLine );
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int index = s_SmoothAverages.Find( fullStr );
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CAveragesInfo<T> *pInfo;
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if ( index == s_SmoothAverages.InvalidIndex() )
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{
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pInfo = new CAveragesInfo<T>;
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index = s_SmoothAverages.Insert( fullStr, pInfo );
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}
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else
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{
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pInfo = (CAveragesInfo<T>*)s_SmoothAverages[index];
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}
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// Add the new value.
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int newValueIndex;
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CAveragesInfo< T >::CEntry entry;
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entry.m_Value = value;
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if ( pInfo->m_Values.Count() < nTimes )
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{
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newValueIndex = pInfo->m_Values.AddToTail( entry );
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pInfo->m_iCurValue = 0;
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}
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else
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{
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newValueIndex = pInfo->m_iCurValue;
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pInfo->m_Values[pInfo->m_iCurValue] = entry;
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pInfo->m_iCurValue = (pInfo->m_iCurValue+1) % pInfo->m_Values.Count();
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}
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CTimingInfo< T > info;
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info.m_AverageValue = pInfo->m_Values[0].m_Value;
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info.m_HighAverage = pInfo->m_Values[0].m_Average;
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info.m_LowAverage = pInfo->m_Values[0].m_Average;
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info.m_HighValue = pInfo->m_Values[0].m_Value;
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info.m_LowValue = pInfo->m_Values[0].m_Value;
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for ( int i=1; i < pInfo->m_Values.Count(); i++ )
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{
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if ( i != newValueIndex )
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{
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info.m_HighAverage = max( pInfo->m_Values[i].m_Average, info.m_HighAverage );
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info.m_LowAverage = min( pInfo->m_Values[i].m_Average, info.m_LowAverage );
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}
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info.m_HighValue = max( pInfo->m_Values[i].m_Value, info.m_HighValue );
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info.m_LowValue = min( pInfo->m_Values[i].m_Value, info.m_LowValue );
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info.m_AverageValue += pInfo->m_Values[i].m_Value;
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}
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info.m_AverageValue /= pInfo->m_Values.Count();
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pInfo->m_Values[newValueIndex].m_Average = info.m_AverageValue;
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return info;
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}
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#endif
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template< class T >
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inline T CalcSmoothAverage( const T &value, int nTimes, const char *pFilename, int iLine )
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{
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CTimingInfo< T > info = CalcSmoothAverage_Struct( value, nTimes, pFilename, iLine );
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return info.m_AverageValue;
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};
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template< class T >
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inline CTimingInfo< T > SumOverTimeInterval_Struct( const T &value, float nSeconds, const char *pFilename, int iLine )
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{
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static CUtlDict< CAveragesInfo_TimeBased< T >*, int > s_SmoothAverages;
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char fullStr[1024];
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Q_snprintf( fullStr, sizeof( fullStr ), "%s_%i", pFilename, iLine );
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int index = s_SmoothAverages.Find( fullStr );
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CAveragesInfo_TimeBased<T> *pInfo;
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if ( index == s_SmoothAverages.InvalidIndex() )
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{
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pInfo = new CAveragesInfo_TimeBased<T>;
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index = s_SmoothAverages.Insert( fullStr, pInfo );
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}
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else
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{
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pInfo = s_SmoothAverages[index];
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}
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// Get the current time now.
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CCycleCount curTime;
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curTime.Sample();
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// Get rid of old samples.
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while ( pInfo->m_Values.Count() > 0 && (curTime.GetSeconds() - pInfo->m_Values[0].m_Time.GetSeconds()) > nSeconds )
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pInfo->m_Values.Remove( 0 );
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// Add on the new sample.
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typename CAveragesInfo_TimeBased< T >::CEntry newEntry;
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newEntry.m_Time = curTime;
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newEntry.m_Value = value;
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int newValueIndex = pInfo->m_Values.AddToTail( newEntry );
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CTimingInfo< T > info;
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info.m_AverageValue = pInfo->m_Values[0].m_Value;
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info.m_HighAverage = pInfo->m_Values[0].m_Average;
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info.m_LowAverage = pInfo->m_Values[0].m_Average;
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info.m_HighValue = pInfo->m_Values[0].m_Value;
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info.m_LowValue = pInfo->m_Values[0].m_Value;
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for ( int i=1; i < pInfo->m_Values.Count(); i++ )
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{
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if ( i != newValueIndex )
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{
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info.m_HighAverage = max( pInfo->m_Values[i].m_Average, info.m_HighAverage );
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info.m_LowAverage = min( pInfo->m_Values[i].m_Average, info.m_LowAverage );
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}
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info.m_HighValue = max( pInfo->m_Values[i].m_Value, info.m_HighValue );
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info.m_LowValue = min( pInfo->m_Values[i].m_Value, info.m_LowValue );
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info.m_AverageValue += pInfo->m_Values[i].m_Value;
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}
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info.m_AverageValue /= pInfo->m_Values.Count();
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pInfo->m_Values[newValueIndex].m_Average = info.m_AverageValue;
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return info;
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}
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template< class T >
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inline CTimingInfo< T > SumOverTimeInterval( const T &value, float nSeconds, const char *pFilename, int iLine )
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{
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CTimingInfo< T > info = SumOverTimeInterval_Struct( value, nSeconds, pFilename, iLine );
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return info.m_AverageValue;
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}
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#endif // SMOOTH_AVERAGE_H
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