removed QWQNG, added stdin
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125
RandTest/AutoCorrelation.cpp
Executable file
125
RandTest/AutoCorrelation.cpp
Executable file
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//#include "StdAfx.h"
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#include "AutoCorrelation.h"
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#include "math.h"
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CAutoCorrelation::CAutoCorrelation(void)
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: maxOrder(32)
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, bitStream(0)
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{
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CreateChi2Tests();
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// ZeroMemory(cumulativeACZScore, 32*sizeof(double));
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memset(cumulativeACZScore, 0, 32*sizeof(double));
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for (int i=0; i<32; i++)
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P_Chi2[i] = .5;
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ResetTest();
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// Initializing app must call ResetAll()!!!
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}
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CAutoCorrelation::~CAutoCorrelation(void)
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{
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for (int i=0; i<32; i++)
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delete MetaChi2[i];
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}
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// Inserts a 32 bit word into the unit test
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// Must insert word into Bias test first, AC is completely dependent upon Bias
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void CAutoCorrelation::InsertWord32(uint32_t InWord32)
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{
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bitStream >>= 32;
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bitStream |= (uint64_t)InWord32 << 32;
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int Order;
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for (Order=1; Order<=maxOrder; Order++)
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{
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totalAndCount[Order-1] += BitCount.GetCount32((uint32_t)bitStream & (uint32_t)(bitStream>>Order));
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blockXorCount[Order-1] += BitCount.GetCount32((uint32_t)bitStream ^ (uint32_t)(bitStream>>Order));
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}
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// Every 2048 32 bit words do a unit and cumulative calculation
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if ((++blockWordCount)>=2048)
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{
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for (Order=1; Order<=maxOrder; Order++)
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{
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totalXorCount[Order-1] += blockXorCount[Order-1];
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double NN = (65536.*(totalBlockCount+1));
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// double XX = totalXorCount[Order-1];
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// cumulativeACZScore[Order-1] = -(2*XX-NN) / sqrt(NN);
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// fractional ANDs
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double fAnd = totalAndCount[Order-1] / NN;
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// fractional bias
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double fBias = *pTotalBiasCount / NN;
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// full AC calculation (a-b^2) / ((1-b) * b)
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if ((fBias*fBias)<=0 || fBias>=1)
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cumulativeACZScore[Order-1] = 0;
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else
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cumulativeACZScore[Order-1] = sqrt(NN) * (fAnd - fBias*fBias)/(fBias - fBias*fBias);
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MetaChi2[Order-1]->Insert(blockXorCount[Order-1]);
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P_Chi2[Order-1] = MetaChi2[Order-1]->GetPvalue();//Gamma.Gamma(50, ACChi2[Order-1].Calc());
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}
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ResetTest();
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totalBlockCount++;
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}
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}
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// Resets current unit testing
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void CAutoCorrelation::ResetTest(void)
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{
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blockWordCount = 0;
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for (int i=0; i<32; i++)
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blockXorCount[i] = 0;
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}
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// Resets cumulative scores
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void CAutoCorrelation::ResetAll(double* pTotalBiasCount, double* pBlockBiasCount)
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{
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this->pBlockBiasCount = pBlockBiasCount;
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this->pTotalBiasCount = pTotalBiasCount;
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totalBlockCount = 0;
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// ZeroMemory(totalAndCount, 32*sizeof(double));
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memset(totalAndCount, 0, 32*sizeof(double));
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// ZeroMemory(totalXorCount, 32*sizeof(double));
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memset(totalXorCount, 0, 32*sizeof(double));
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for (int i=0; i<32; i++)
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P_Chi2[i] = .5;
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for (int i=0; i<32; i++)
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{
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MetaChi2[i]->Reset();
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// ACChi2[i].ResetAll();
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cumulativeACZScore[i] = 0.;
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prevCumulativeACZScore[i] = 0.;
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P_Chi2[i] = .5;
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}
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bitStream = 0;
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ResetTest();
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}
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void CAutoCorrelation::CreateChi2Tests(void) {
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double pTable[] = {
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0.0016751591157826984, 0.0008125704223141780, 0.0011538175281394167, 0.0016130041110183372, 0.0022200160266961827,
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0.0030081473713346360, 0.0040129572987985991, 0.0052705078207208266, 0.0068149541705240074, 0.0086755302334023398,
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0.0108730598645528967, 0.0134162222471676280, 0.0162978932289932796, 0.0194919592594017396, 0.0229510396552503468,
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0.0266055419211793493, 0.0303644043131267252, 0.0341177483099464753, 0.0377414795440626524, 0.0411036575708872835,
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0.0440722296391575050, 0.0465235232774633227, 0.0483507488411394182, 0.0494717022548410683, 0.0467242519481981447,
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0.0494717022548410683, 0.0483507488411394182, 0.0465235232774633227, 0.0440722296391575050, 0.0411036575708872835,
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0.0377414795440626524, 0.0341177483099464753, 0.0303644043131267252, 0.0266055419211793493, 0.0229510396552503468,
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0.0194919592594017396, 0.0162978932289932796, 0.0134162222471676280, 0.0108730598645528967, 0.0086755302334023398,
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0.0068149541705240074, 0.0052705078207208266, 0.0040129572987985991, 0.0030081473713346360, 0.0022200160266961827,
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0.0016130041110183372, 0.0011538175281394167, 0.0008125704223141780, 0.0016751591157826984
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};
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double boundryTable[] = {
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32392, 32408, 32424, 32440, 32456, 32472, 32488, 32504, 32520,
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32536, 32552, 32568, 32584, 32600, 32616, 32632, 32648, 32664, 32680,
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32696, 32712, 32728, 32744, 32760, 32775, 32791, 32807, 32823, 32839,
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32855, 32871, 32887, 32903, 32919, 32935, 32951, 32967, 32983, 32999,
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33015, 33031, 33047, 33063, 33079, 33095, 33111, 33127, 33143, 1e100
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};
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for (int i=0; i<32; i++)
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MetaChi2[i] = new Chi2(49, pTable, false, boundryTable, false);
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}
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