344     double randFrac() {  // [0.0, 1.0)  in randFrac()  function in android::__anonbe695bce0111::RandomPartitioningTest
349         return unsigned(randFrac() * limit);  in randUInt()
404         std::generate(biasValue.begin(), biasValue.end(), [this] { return randFrac(); });  in makeRnnSpecialInput()
759     const bool allowDeadOperations = (randFrac() < 0.2);  in TEST_P()
760     const bool allowUnknownDimensions = (randFrac() < 0.25);  in TEST_P()
773     const bool forceCommonRoot = (randFrac() < 0.75);  in TEST_P()
875                     if (randFrac() < 0.3 * (1 - double(normalOperationInputConstantCount) /  in TEST_P()
888                         (randFrac() < 0.5 *  in TEST_P()
924                     if (!modelInputs.empty() && (randFrac() < 0.5)) {  in TEST_P()
934                     if (!deadOperands.empty() && (randFrac() < 0.5)) {  in TEST_P()
961                     if (!valueOperands.empty() && (randFrac() < 0.25)) {  in TEST_P()
965                         if (randFrac() < 0.5) {  in TEST_P()
968                                           [this] { return randFrac(); });  in TEST_P()
974                                 (kAllWeightsInOnePool || (randFrac() < 0.5))) {  in TEST_P()
1004                           if (allowUnknownDimensions && randFrac() < 0.03) {  in TEST_P()
1038         std::generate(region, region + problemSize * problemSize, [this] { return randFrac(); });  in TEST_P()
1060                 modelOutput = (randFrac() < probabilityOfModelOutput);  in TEST_P()
1064                 modelOutput = (randFrac() < 0.05);  in TEST_P()
1247     std::generate(goldenInputs.begin(), goldenInputs.end(), [this] { return randFrac(); });  in TEST_P()
1254     const float goldenOutput = randFrac();  in TEST_P()
1286         if (randFrac() < 0.5) {  in TEST_P()
1291             if ((ioMemories.memoryCount() != 0) && (randFrac() < 0.5)) {  in TEST_P()