Enable MSML_SingleVariableDeclaration for the full solution (dotnet#4765)

Author: sharwell

.editorconfig

@@ -18,9 +18,6 @@ dotnet_diagnostic.MSML_GeneralName.severity = none
 # MSML_PrivateFieldName: Private field name not in: _camelCase format
 dotnet_diagnostic.MSML_PrivateFieldName.severity = none
 
-# MSML_SingleVariableDeclaration: Have only a single variable present per declaration
-dotnet_diagnostic.MSML_SingleVariableDeclaration.severity = none
-
 # MSML_NoBestFriendInternal: Cross-assembly internal access requires referenced item to have Microsoft.ML.BestFriendAttribute attribute.
 dotnet_diagnostic.MSML_NoBestFriendInternal.severity = none
 

test/Microsoft.ML.Core.Tests/UnitTests/ColumnTypes.cs

@@ -15,7 +15,8 @@ public void TestEqualAndGetHashCode()
         {
             var dict = new Dictionary<DataViewType, string>();
             // add PrimitiveTypes, KeyType & corresponding VectorTypes
-            VectorDataViewType tmp1, tmp2;
+            VectorDataViewType tmp1;
+            VectorDataViewType tmp2;
             var types = new PrimitiveDataViewType[] { NumberDataViewType.SByte, NumberDataViewType.Int16, NumberDataViewType.Int32, NumberDataViewType.Int64,
                 NumberDataViewType.Byte, NumberDataViewType.UInt16, NumberDataViewType.UInt32, NumberDataViewType.UInt64, RowIdDataViewType.Instance,
                 TextDataViewType.Instance, BooleanDataViewType.Instance, DateTimeDataViewType.Instance, DateTimeOffsetDataViewType.Instance, TimeSpanDataViewType.Instance };

test/Microsoft.ML.CpuMath.PerformanceTests/PerformanceTests.cs

@@ -27,7 +27,12 @@ public abstract class PerformanceTests
         internal AlignedArray testSrcVectorAligned;
         internal AlignedArray testDstVectorAligned;
 
-        protected float[] src, dst, original, src1, src2, result;
+        protected float[] src;
+        protected float[] dst;
+        protected float[] original;
+        protected float[] src1;
+        protected float[] src2;
+        protected float[] result;
         protected int[] idx;
         protected int[] matrixIdx;
 

test/Microsoft.ML.TestFrameworkCommon/TestCommon.cs

@@ -90,7 +90,8 @@ public static bool CheckSameSchemas(DataViewSchema sch1, DataViewSchema sch2, bo
                 Assert.True(EqualTypes(type1, type2, exactTypes), $"column type mismatch at index {col}");
 
                 // This ensures that the two schemas map names to the same column indices.
-                int col1, col2;
+                int col1;
+                int col2;
                 bool f1 = sch1.TryGetColumnIndex(name1, out col1);
                 bool f2 = sch2.TryGetColumnIndex(name2, out col2);
 
@@ -152,7 +153,8 @@ public static bool CompareVec<T>(in VBuffer<T> v1, in VBuffer<T> v2, int size, F
             {
                 int iv1 = v1.IsDense ? iiv1 : iiv1 < v1Indices.Length ? v1Indices[iiv1] : v1.Length;
                 int iv2 = v2.IsDense ? iiv2 : iiv2 < v2Indices.Length ? v2Indices[iiv2] : v2.Length;
-                T x1, x2;
+                T x1;
+                T x2;
                 int iv;
                 if (iv1 == iv2)
                 {

test/Microsoft.ML.Tests/CalibratedModelParametersTests.cs

@@ -97,11 +97,11 @@ private IDataView GetDenseDataset()
             // Setup synthetic dataset.
             const int numberOfInstances = 1000;
             var rand = new Random(10);
-            float[] yArray = new float[numberOfInstances],
-                x1Array = new float[numberOfInstances],
-                x2Array = new float[numberOfInstances],
-                x3Array = new float[numberOfInstances],
-                x4RandArray = new float[numberOfInstances];
+            float[] yArray = new float[numberOfInstances];
+            float[] x1Array = new float[numberOfInstances];
+            float[] x2Array = new float[numberOfInstances];
+            float[] x3Array = new float[numberOfInstances];
+            float[] x4RandArray = new float[numberOfInstances];
 
             for (var i = 0; i < numberOfInstances; i++)
             {

test/Microsoft.ML.Tests/FeatureContributionTests.cs

@@ -253,9 +253,9 @@ private IDataView GetSparseDataset(TaskType task = TaskType.Regression, int numb
         {
             // Setup synthetic dataset.
             var rand = new Random(10);
-            float[] yArray = new float[numberOfInstances],
-                x1Array = new float[numberOfInstances],
-                x3Array = new float[numberOfInstances];
+            float[] yArray = new float[numberOfInstances];
+            float[] x1Array = new float[numberOfInstances];
+            float[] x3Array = new float[numberOfInstances];
 
             VBuffer<float>[] vbArray = new VBuffer<float>[numberOfInstances];
 

test/Microsoft.ML.Tests/PermutationFeatureImportanceTests.cs

@@ -559,11 +559,11 @@ private IDataView GetDenseDataset(TaskType task = TaskType.Regression)
             // Setup synthetic dataset.
             const int numberOfInstances = 1000;
             var rand = new Random(10);
-            float[] yArray = new float[numberOfInstances],
-                x1Array = new float[numberOfInstances],
-                x2Array = new float[numberOfInstances],
-                x3Array = new float[numberOfInstances],
-                x4RandArray = new float[numberOfInstances];
+            float[] yArray = new float[numberOfInstances];
+            float[] x1Array = new float[numberOfInstances];
+            float[] x2Array = new float[numberOfInstances];
+            float[] x3Array = new float[numberOfInstances];
+            float[] x4RandArray = new float[numberOfInstances];
 
             for (var i = 0; i < numberOfInstances; i++)
             {
@@ -626,9 +626,9 @@ private IDataView GetSparseDataset(TaskType task = TaskType.Regression)
             // Setup synthetic dataset.
             const int numberOfInstances = 10000;
             var rand = new Random(10);
-            float[] yArray = new float[numberOfInstances],
-                x1Array = new float[numberOfInstances],
-                x3Array = new float[numberOfInstances];
+            float[] yArray = new float[numberOfInstances];
+            float[] x1Array = new float[numberOfInstances];
+            float[] x3Array = new float[numberOfInstances];
 
             VBuffer<float>[] vbArray = new VBuffer<float>[numberOfInstances];