360     double randFrac() {  // [0.0, 1.0)  in randFrac()  function in android::__anonc220281b0111::RandomPartitioningTest
365         return unsigned(randFrac() * limit);  in randUInt()
420         std::generate(biasValue.begin(), biasValue.end(), [this] { return randFrac(); });  in makeRnnSpecialInput()
680     const bool allowDeadOperations = (randFrac() < 0.2);  in TEST_P()
681     const bool allowUnknownDimensions = (randFrac() < 0.25);  in TEST_P()
694     const bool forceCommonRoot = (randFrac() < 0.75);  in TEST_P()
701     if (randFrac() < 0.5 && computeMode == WrapperExecution::ComputeMode::ASYNC) {  in TEST_P()
808                     if (randFrac() < 0.3 * (1 - double(normalOperationInputConstantCount) /  in TEST_P()
821                         (randFrac() < 0.5 *  in TEST_P()
857                     if (!modelInputs.empty() && (randFrac() < 0.5)) {  in TEST_P()
867                     if (!deadOperands.empty() && (randFrac() < 0.5)) {  in TEST_P()
894                     if (!valueOperands.empty() && (randFrac() < 0.25)) {  in TEST_P()
898                         if (randFrac() < 0.5) {  in TEST_P()
901                                           [this] { return randFrac(); });  in TEST_P()
907                                 (kAllWeightsInOnePool || (randFrac() < 0.5))) {  in TEST_P()
940                     if (allowUnknownDimensions && randFrac() < 0.03) {  in TEST_P()
977         std::generate(region, region + problemSize * problemSize, [this] { return randFrac(); });  in TEST_P()
999                 modelOutput = (randFrac() < probabilityOfModelOutput);  in TEST_P()
1003                 modelOutput = (randFrac() < 0.05);  in TEST_P()
1277     std::generate(goldenInputs.begin(), goldenInputs.end(), [this] { return randFrac(); });  in TEST_P()
1284     const float goldenOutput = randFrac();  in TEST_P()
1316         if (randFrac() < 0.5) {  in TEST_P()
1321             if ((ioMemories.memoryCount() != 0) && (randFrac() < 0.5)) {  in TEST_P()