Microsoft.CodeAnalysis.CSharp.Syntax.UnitTests (3)

Syntax\SyntaxAnnotationTests.cs (3)

777var annotation = _annotations[_random.Next(0, _annotations.Count - 1)]; 788var annotation = _annotations[_random.Next(0, _annotations.Count - 1)]; 805var annotation = _annotations[_random.Next(0, _annotations.Count - 1)];

Microsoft.CodeAnalysis.UnitTests (3)

CachingLookupTests.cs (1)

32result[i] = rand.Next(100, ((length / 10) + 4) * 100);

Collections\TopologicalSortTests.cs (2)

173int r = random.Next(t, length); 190result[i] = possibleSort[random.Next(0, limit)];

Microsoft.CodeAnalysis.Workspaces.UnitTests (1)

XxHash128Tests.cs (1)

111ReadOnlySpan<byte> slice = input.Slice(0, rand.Next(0, input.Length) + 1);

Microsoft.Data.Analysis (1)

DataFrame.cs (1)

349int randomIndex = rand.Next(shuffleLowerLimit, shuffleUpperLimit);

Microsoft.DotNet.Helix.Sdk (1)

AzureDevOpsTask.cs (1)

182return s_rand.Next(min, max);

Microsoft.Extensions.Caching.Hybrid (1)

Internal\HybridCachePayload.cs (1)

109BinaryPrimitives.WriteUInt16LittleEndian(destination.AsSpan(2, 2), (ushort)_entropySource.Next(0, 0x010000)); // Next is exclusive at RHS

Microsoft.Extensions.Caching.Hybrid.Tests (2)

TagSetTests.cs (2)

166var len = rand.Next(3, 8); 174chars[i] = Alphabet[rand.Next(0, Alphabet.Length)];

Microsoft.Extensions.Options.Contextual.Tests (1)

AcceptanceTests.cs (1)

61Temperature = _rng.Next(-20, 55),

Microsoft.ML.AutoML (1)

Sweepers\SmacSweeper.cs (1)

293int randomIndex = r.Next(0, parameterDiscrete.Count - 1);

Microsoft.ML.AutoML.Tests (1)

SweeperTests.cs (1)

169double metric = ((5 - Math.Abs(4 - foo)) * 200) + (1001 - Math.Abs(33 - bar)) + rand.Next(1, 20);

Microsoft.ML.Core (1)

Utilities\Random.cs (1)

41return random.Next(int.MinValue, int.MaxValue);

Microsoft.ML.CpuMath.PerformanceTests (3)

PerformanceTests.cs (3)

44double exponent = Math.Pow(2.0, rand.Next(-expRange + 1, expRange + 1)); 99idx[i] = rand.Next(0, Length); 104matrixIdx[i] = rand.Next(0, 1000);

Microsoft.ML.FastTree (1)

Utils\PseudorandomFunction.cs (1)

22_data = _periodics.Select(x => Enumerable.Range(0, x).Select(y => rand.Next(-1, int.MaxValue) + 1).ToArray()).ToArray();

Microsoft.ML.IntegrationTests (3)

Datasets\Iris.cs (1)

47output.GroupId = rng.Next(0, 30);

Datasets\TypeTestData.cs (2)

143Dt = DateTime.FromOADate(rng.Next(657435, 2958465)), 153chars[i] = (char)(32 + rng.Next(0, 94)); // From space to ~.

Microsoft.ML.PerformanceTests (1)

BenchmarkBase.cs (1)

114wordLength = random.Next(1, maxWordLength);

Microsoft.ML.Predictor.Tests (2)

TestTransposer.cs (2)

169builder.AddColumn("E", NumberDataViewType.UInt32, GenerateHelper(rowCount, 0.1, rgen, () => (uint)rgen.Next(int.MinValue, int.MaxValue))); 235builder.AddColumn("E", NumberDataViewType.UInt32, GenerateHelper(rowCount, 0.1, rgen, () => (uint)rgen.Next(int.MinValue, int.MaxValue)));

Microsoft.ML.Samples (23)

Dynamic\DataOperations\DataViewEnumerable.cs (1)

96temperature += rng.Next(-5, 5);

Dynamic\DataOperations\FilterRowsByColumn.cs (1)

96temperature += rng.Next(-5, 5);

Dynamic\DataOperations\ShuffleRows.cs (1)

84temperature += rng.Next(-5, 5);

Dynamic\DataOperations\SkipRows.cs (1)

88temperature += rng.Next(-5, 5);

Dynamic\DataOperations\TakeRows.cs (1)

89temperature += rng.Next(-5, 5);

Dynamic\Trainers\MulticlassClassification\LbfgsMaximumEntropy.cs (1)

97var label = random.Next(1, 4);

Dynamic\Trainers\MulticlassClassification\LbfgsMaximumEntropyWithOptions.cs (1)

105var label = random.Next(1, 4);

Dynamic\Trainers\MulticlassClassification\LightGbm.cs (1)

100var label = random.Next(1, 4);

Dynamic\Trainers\MulticlassClassification\LightGbmWithOptions.cs (1)

110var label = random.Next(1, 4);

Dynamic\Trainers\MulticlassClassification\LogLossPerClass.cs (1)

80var label = random.Next(1, 10);

Dynamic\Trainers\MulticlassClassification\NaiveBayes.cs (1)

105var label = random.Next(1, 4);

Dynamic\Trainers\MulticlassClassification\OneVersusAll.cs (1)

98var label = random.Next(1, 4);

Dynamic\Trainers\MulticlassClassification\PairwiseCoupling.cs (1)

98var label = random.Next(1, 4);

Dynamic\Trainers\MulticlassClassification\SdcaMaximumEntropy.cs (1)

104var label = random.Next(1, 4);

Dynamic\Trainers\MulticlassClassification\SdcaMaximumEntropyWithOptions.cs (1)

114var label = random.Next(1, 4);

Dynamic\Trainers\MulticlassClassification\SdcaNonCalibrated.cs (1)

105var label = random.Next(1, 4);

Dynamic\Trainers\MulticlassClassification\SdcaNonCalibratedWithOptions.cs (1)

114var label = random.Next(1, 4);

Dynamic\Trainers\Ranking\FastTree.cs (1)

78var label = random.Next(0, 5);

Dynamic\Trainers\Ranking\FastTreeWithOptions.cs (1)

92var label = random.Next(0, 5);

Dynamic\Trainers\Ranking\LightGbm.cs (1)

78var label = random.Next(0, 5);

Dynamic\Trainers\Ranking\LightGbmWithOptions.cs (1)

93var label = random.Next(0, 5);

Dynamic\Transforms\ImageAnalytics\ConvertToImage.cs (1)

103inputSize).Select(x => (float)random.Next(0, 256)).ToArray()

Dynamic\Transforms\TreeFeaturization\FastTreeRankingFeaturizationWithOptions.cs (1)

127var label = random.Next(0, 5);

Microsoft.ML.SamplesUtils (1)

SamplesDatasetUtils.cs (1)

300var sample = new FloatLabelFloatFeatureVectorUlongGroupIdSample() { Label = intermediate[i].Label, Features = intermediate[i].Features, GroupId = (ulong)rnd.Next((int)minGroupId, (int)maxGroupId) };

Microsoft.ML.Sweeper (1)

Algorithms\SmacSweeper.cs (1)

302int randomIndex = r.Next(0, parameterDiscrete.Count - 1);

Microsoft.ML.Sweeper.Tests (1)

TestSweeper.cs (1)

330sleeps[i] = random.Next(10, 100);

Microsoft.ML.TestFramework (1)

DataPipe\TestDataPipe.cs (1)

1181barValues[i][j] = rgen.Next(-100, 100);

Microsoft.ML.Tests (5)

Scenarios\ClusteringTests.cs (1)

45var index = rand.Next(0, k);

TrainerEstimators\TreeEstimators.cs (1)

731var label = random.Next(1, numClasses + 1);

Transformers\NormalizerTests.cs (3)

1117list.Add(rand.Next(min, max)); 1188temp = rand.Next(int.MinValue, int.MaxValue); 1262temp = rand.Next(int.MinValue, int.MaxValue);

Microsoft.ML.Vision (1)

ImageClassificationTrainer.cs (1)

863featurizedImages = featurizedImages.OrderBy(x => Host.Rand.Next(0, metrics.Bottleneck.Index)).ToList();

Sample (1)

Endpoints\MapSchemasEndpoints.cs (1)

16schemas.MapGet("/multiple-results", Results<Ok<Triangle>, NotFound<string>> () => Random.Shared.Next(0, 2) == 0

ScenarioTests.Common.Tests (2)

ScenarioTestHelpers.cs (2)

237highSurrogate = Convert.ToChar(rand.Next(0xD800, 0xDC00)); 238lowSurrogate = Convert.ToChar(rand.Next(0xDC00, 0xE000));

Seq.ApiService (1)

Program.cs (1)

25var number = Random.Shared.Next(min, max);

Stress.ApiService (12)

ProducerConsumer.cs (2)

40await Task.Delay(Random.Shared.Next(10, 50)); 53await Task.Delay(Random.Shared.Next(10, 50));

Program.cs (1)

301Random.Shared.Next(-20, 55),

TestMetrics.cs (1)

36uploadSpeed.Add(Random.Shared.Next(5, 10));

TraceCreator.cs (8)

43await Task.Delay(Random.Shared.Next(10, 50)); 85await Task.Delay(Random.Shared.Next(10, 50)); 89await Task.Delay(Random.Shared.Next(10, 50)); 95var eventCount = Random.Shared.Next(0, 5); 99var tagsCount = Random.Shared.Next(0, 5); 111var activityLinkCount = Random.Shared.Next(0, Math.Min(5, _allActivities.Count)); 117var tagsCount = Random.Shared.Next(0, 3); 128var a = _allActivities[Random.Shared.Next(0, _allActivities.Count)];

Stress.AppHost (2)

TestResource.cs (2)

63var seconds = Random.Shared.Next(2, 12); 76var randomState = states[Random.Shared.Next(0, states.Length)];

Stress.TelemetryService (1)

TelemetryStresser.cs (1)

33value += Random.Shared.Next(0, 10);

System.Collections.Concurrent (1)

System\Collections\Concurrent\ConcurrentStack.cs (1)

631backoff = Random.Shared.Next(1, BACKOFF_MAX_YIELDS);

System.Data.Odbc (1)

Common\System\Data\ProviderBase\DbConnectionPool.cs (1)

150_cleanupWait = s_random.Next(12, 24) * 10 * 1000; // 2-4 minutes in 10 sec intervals

System.Linq (4)

System\Linq\Shuffle.SpeedOpt.cs (4)

47return iterator.TryGetElementAt(Random.Shared.Next(0, iteratorCount), out found); 56return list[Random.Shared.Next(0, listCount)]; 172return iterator.TryGetElementAt(Random.Shared.Next(0, iteratorCount), out found); 181return list[Random.Shared.Next(0, count)];

System.Private.CoreLib (3)

src\libraries\System.Private.CoreLib\src\System\Random.cs (3)

344/// This method uses <see cref="Next(int, int)" /> to choose values for shuffling. 361/// This method uses <see cref="Next(int, int)" /> to choose values for shuffling. 370int j = Next(i, n);

System.Text.RegularExpressions (1)

System\Text\RegularExpressions\Symbolic\SymbolicRegexMatcher.Sample.cs (1)

180return (char)random.Next((int)range.Item1, (int)range.Item2 + 1);

System.Threading.Tasks.Parallel (1)

System\Threading\Tasks\TaskReplicator.cs (1)

167return 100 + Random.Shared.Next(0, 50 * Environment.ProcessorCount);

System.Windows.Forms.Tests (3)

System\Windows\Forms\ApplicationTests.cs (1)

582Application.OpenForms[rnd.Next(1, Application.OpenForms.Count - 1)].Close();

System\Windows\Forms\ComboBoxTests.cs (1)

2435int index = random.Next(0, count - 1);

System\Windows\Forms\ListViewGroupTests.cs (1)

251int value = random.Next(2, int.MaxValue) * -1;

TestingAppHost1.MyWebApp (1)

Program.cs (1)

29Random.Shared.Next(-20, 55),

Wasm.Performance.TestApp (1)

Person.cs (1)

27.ToDictionary(c => c, _ => rng.Next(0, 2) == 0),

WinFormsControlsTest (3)

ListViewTest.cs (3)

19int i = random.Next(100, 300); 228listView2.Columns[random.Next(0, listView2.Columns.Count)].ImageIndex = random.Next(0, 2);

Yarp.Backend (1)

Program.cs (1)

24Random.Shared.Next(-20, 55),