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#include "math/RandNumGenTestCase.hpp" |
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// Registers the fixture into the 'registry' |
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CPPUNIT_TEST_SUITE_REGISTRATION( RandNumGenTestCase ); |
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using namespace oopse; |
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void RandNumGenTestCase::testUniform(){ |
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MTRand randNumGen(823645754); |
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const int N = 16; |
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std::vector<unsigned long int> histogram(N, 0); |
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const int num = 1000000; |
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for (int i = 0; i <num; ++i) { |
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++histogram[randNumGen.randInt(N -1 )]; // rantInt returns an integer in [0, N-1] |
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} |
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int avg = num / N; |
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double tolerance = 0.01; |
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for (int i = 0; i < num; ++i) { |
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if ((histogram[i] - avg) /avg > tolerance) { |
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} |
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} |
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} |
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void RandNumGenTestCase::testGaussian(){ |
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MTRand randNumGen(823645754); |
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double mean = 3.0; |
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double variance = 1.0; |
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const int num = 1000000; |
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double interval = 0.001; |
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unsigned long int histogram[1000]; |
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for (int i = 0; i < num; ++i) { |
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int index = static_cast<int>(randNumGen.randNorm(mean, variance) / interval); |
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++histogram[index]; |
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} |
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//fitting |
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} |
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void RandNumGenTestCase::testMPIRNG(){ |
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#ifdef IS_MPI |
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const int seed = 324271632; |
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const int nloops = 1000000; |
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MPI_Status istatus; |
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ParallelRandNumGen mpiRandNumGen(seed); |
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const int masterNode = 0; |
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if (worldRank = masterNode) { |
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MTRand singleRandNumGen(seed); |
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int nProcessors; |
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MPI_Comm_size(MPI_COMM_WORLD, &nProcessors); |
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std::vector<unsigned long int> mpiRandNums(nProcessors); |
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std::vector<unsigned long int> singleRandNums(nProcessors); |
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for (int i = 0; i < nloops; ++i) { |
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mpiRandNums[masterNode] = mpiRandNumGen.randInt(); |
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for (int j = 0; j < nProcessors; ++j) { |
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if (j != masterNode) { |
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MPI_Recv(&mpiRandNums[j], 1, MPI_UNSIGNED_LONG, j, i, MPI_COMM_WORLD, &istatus); |
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} |
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singleRandNums[j] = mpiRandNumGen.randInt(); |
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assert(mpiRandNums[j], singleRandNums[j]); |
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} |
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} |
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mpiRandNumGen.randInt(); |
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} else { |
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unsigned long int randNum; |
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for (int i = 0; i < nloops; ++i) { |
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randNum = mpiRandNumGen.randInt(); |
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MPI_Send(&randNum, 1, MPI_INT, masterNode, i, MPI_COMM_WORLD); |
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} |
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} |
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#endif |
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} |
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