Remove empty statement (#5827)

* Remove empty statement * Remove empty statement
dotnet · Jun 17, 2021 · b3a3c66 · b3a3c66
1 parent 6114b4f
commit b3a3c66
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Showing 20 changed files with 22 additions and 22 deletions.
diff --git a/src/Microsoft.ML.Data/Scorers/SchemaBindablePredictorWrapper.cs b/src/Microsoft.ML.Data/Scorers/SchemaBindablePredictorWrapper.cs
@@ -222,7 +222,7 @@ IEnumerable<DataViewSchema.Column> ISchemaBoundRowMapper.GetDependenciesForNewCo
                 if (!InputRoleMappedSchema.Feature.HasValue || dependingColumns.Count() == 0)
                     return Enumerable.Empty<DataViewSchema.Column>();
 
-                return Enumerable.Repeat(InputRoleMappedSchema.Feature.Value, 1); ;
+                return Enumerable.Repeat(InputRoleMappedSchema.Feature.Value, 1);
             }
 
             public IEnumerable<KeyValuePair<RoleMappedSchema.ColumnRole, string>> GetInputColumnRoles()

diff --git a/src/Microsoft.ML.Data/Transforms/ColumnSelecting.cs b/src/Microsoft.ML.Data/Transforms/ColumnSelecting.cs
@@ -320,7 +320,7 @@ private static bool GetHiddenOption(IHostEnvironment env, HiddenColumnOption opt
                     return false;
                 default:
                     throw env.Except("Unsupported hide option specified");
-            };
+            }
         }
 
         /// <summary>

diff --git a/src/Microsoft.ML.Data/Transforms/Hashing.cs b/src/Microsoft.ML.Data/Transforms/Hashing.cs
@@ -342,7 +342,7 @@ private static IDataTransform Create(IHostEnvironment env, Options options, IDat
                     item.Seed ?? options.Seed,
                     item.Ordered ?? options.Ordered,
                     item.MaximumNumberOfInverts ?? options.MaximumNumberOfInverts);
-            };
+            }
             return new HashingTransformer(env, input, cols).MakeDataTransform(input);
         }
 

diff --git a/src/Microsoft.ML.Data/Transforms/KeyToVector.cs b/src/Microsoft.ML.Data/Transforms/KeyToVector.cs
@@ -206,7 +206,7 @@ private static IDataTransform Create(IHostEnvironment env, Options options, IDat
                     item.Name,
                     item.Source ?? item.Name,
                     item.Bag ?? options.Bag);
-            };
+            }
             return new KeyToVectorMappingTransformer(env, cols).MakeDataTransform(input);
         }
 

diff --git a/src/Microsoft.ML.Data/Transforms/TypeConverting.cs b/src/Microsoft.ML.Data/Transforms/TypeConverting.cs
@@ -336,7 +336,7 @@ internal static IDataTransform Create(IHostEnvironment env, Options options, IDa
                     kind = tempResultType.Value;
                 }
                 cols[i] = new TypeConvertingEstimator.ColumnOptions(item.Name, kind.ToDataKind(), item.Source ?? item.Name, keyCount);
-            };
+            }
             return new TypeConvertingTransformer(env, cols).MakeDataTransform(input);
         }
 

diff --git a/src/Microsoft.ML.Data/Transforms/ValueToKeyMappingTransformer.cs b/src/Microsoft.ML.Data/Transforms/ValueToKeyMappingTransformer.cs
@@ -298,7 +298,7 @@ internal static IDataTransform Create(IHostEnvironment env, Options options, IDa
                         item.TextKeyValues ?? options.TextKeyValues);
                     cols[i].Keys = item.Terms;
                     cols[i].Key = item.Term ?? options.Term;
-                };
+                }
                 var keyData = GetKeyDataViewOrNull(env, ch, options.DataFile, options.TermsColumn, options.Loader, out bool autoLoaded);
                 return new ValueToKeyMappingTransformer(env, input, cols, keyData, autoLoaded).MakeDataTransform(input);
             }

diff --git a/src/Microsoft.ML.EntryPoints/PermutationFeatureImportance.cs b/src/Microsoft.ML.EntryPoints/PermutationFeatureImportance.cs
@@ -183,7 +183,7 @@ internal static class PermutationFeatureImportanceUtils
                     TopKAccuracyStdErr = pMetric.TopKAccuracy.StandardError,
                     PerClassLogLoss = pMetric.PerClassLogLoss.Select(x => x.Mean).ToArray(),
                     PerClassLogLossStdErr = pMetric.PerClassLogLoss.Select(x => x.StandardError).ToArray()
-                }); ;
+                });
             }
 
             // Convert unknown size vectors to known size.
@@ -314,7 +314,7 @@ private static string[] GetSlotNames(RoleMappedSchema schema)
             foreach (var value in slotValues)
             {
                 slotNames.Add(value.ToString());
-            };
+            }
 
             return slotNames.ToArray();
         }

diff --git a/src/Microsoft.ML.FastTree/Utils/LinqExtensions.cs b/src/Microsoft.ML.FastTree/Utils/LinqExtensions.cs
@@ -206,7 +206,7 @@ public static T[] ToArray<T>(this IEnumerable<T> me, int length)
         public static IEnumerable<int> CumulativeSum<T>(this IEnumerable<int> s)
         {
             int sum = 0;
-            ;
+
             foreach (var x in s)
             {
                 sum = sum + x;

diff --git a/src/Microsoft.ML.Featurizers/TimeSeriesImputerDataView.cs b/src/Microsoft.ML.Featurizers/TimeSeriesImputerDataView.cs
@@ -749,7 +749,7 @@ private sealed class Cursor : DataViewRowCursor
 
                 var sharedState = new SharedColumnState();
 
-                _allColumns = _schema.Select(x => TypedColumn.CreateTypedColumn(x, dataColumns, allImputedColumnNames, sharedState)).ToDictionary(x => x.Column.Name); ;
+                _allColumns = _schema.Select(x => TypedColumn.CreateTypedColumn(x, dataColumns, allImputedColumnNames, sharedState)).ToDictionary(x => x.Column.Name);
                 _allColumns[IsRowImputedColumnName] = new BoolTypedColumn(_schema[IsRowImputedColumnName], false, true, sharedState);
 
                 foreach (var column in _allColumns.Values)

diff --git a/src/Microsoft.ML.LightGbm/LightGbmTrainerBase.cs b/src/Microsoft.ML.LightGbm/LightGbmTrainerBase.cs
@@ -851,7 +851,7 @@ private void GetFeatureValueDense(IChannel ch, FloatLabelCursor cursor, Categori
                 nonZeroCntPerColumn[i] = 0;
                 sampleValuePerColumn[i] = new double[estimateNonZeroCnt];
                 sampleIndicesPerColumn[i] = new int[estimateNonZeroCnt];
-            };
+            }
             using (var cursor = factory.Create())
             {
                 int step = 1;

diff --git a/src/Microsoft.ML.LightGbm/WrappedLightGbmDataset.cs b/src/Microsoft.ML.LightGbm/WrappedLightGbmDataset.cs
@@ -61,7 +61,7 @@ internal sealed class Dataset : IDisposable
                     ptrArrayValues[i] = (double*)gcValues[i].AddrOfPinnedObject().ToPointer();
                     gcIndices[i] = GCHandle.Alloc(sampleIndicesPerColumn[i], GCHandleType.Pinned);
                     ptrArrayIndices[i] = (int*)gcIndices[i].AddrOfPinnedObject().ToPointer();
-                };
+                }
                 fixed (double** ptrValues = ptrArrayValues)
                 fixed (int** ptrIndices = ptrArrayIndices)
                 {
@@ -79,7 +79,7 @@ internal sealed class Dataset : IDisposable
                         gcValues[i].Free();
                     if (gcIndices[i].IsAllocated)
                         gcIndices[i].Free();
-                };
+                }
             }
             // Before adding examples (i.e., feature vectors of the original data set), the original labels, weights, and groups are added.
             SetLabel(labels);

diff --git a/src/Microsoft.ML.OnnxTransformer/OnnxUtils.cs b/src/Microsoft.ML.OnnxTransformer/OnnxUtils.cs
@@ -315,7 +315,7 @@ private static bool CheckOnnxShapeCompatibility(IEnumerable<int> left, IEnumerab
                 // Along a specific axis, if any of left or right have unknown dimension, the overwriting can happen.
                 if (l != r && l > 0 && r > 0)
                     return false;
-            };
+            }
             return true;
         }
 

diff --git a/src/Microsoft.ML.Parquet/PartitionedPathParser.cs b/src/Microsoft.ML.Parquet/PartitionedPathParser.cs
@@ -278,7 +278,7 @@ void ICanSaveModel.Save(ModelSaveContext ctx)
                 sb.Clear();
                 _host.Check(col.TryUnparse(sb));
                 ctx.SaveString(sb.ToString());
-            };
+            }
         }
         public IEnumerable<PartitionedFileLoader.Column> ParseColumns(string path)
         {

diff --git a/src/Microsoft.ML.StandardTrainers/Standard/SdcaBinary.cs b/src/Microsoft.ML.StandardTrainers/Standard/SdcaBinary.cs
@@ -1796,7 +1796,7 @@ private protected override SchemaShape.Column[] ComputeSdcaBinaryClassifierSchem
                     NumberDataViewType.Single,
                     false,
                     new SchemaShape(AnnotationUtils.GetTrainerOutputAnnotation(true))));
-            };
+            }
 
             return outCols.ToArray();
         }

diff --git a/src/Microsoft.ML.Transforms/KeyToVectorMapping.cs b/src/Microsoft.ML.Transforms/KeyToVectorMapping.cs
@@ -128,7 +128,7 @@ private static IDataTransform Create(IHostEnvironment env, Options options, IDat
                 {
                     var item = options.Columns[i];
                     cols[i] = (item.Name, item.Source ?? item.Name);
-                };
+                }
             }
             return new KeyToBinaryVectorMappingTransformer(env, cols).MakeDataTransform(input);
         }

diff --git a/src/Microsoft.ML.Transforms/MissingValueReplacing.cs b/src/Microsoft.ML.Transforms/MissingValueReplacing.cs
@@ -447,7 +447,7 @@ internal static IDataTransform Create(IHostEnvironment env, Options options, IDa
                     (MissingValueReplacingEstimator.ReplacementMode)(item.Kind ?? options.ReplacementKind),
                     item.Slot ?? options.ImputeBySlot,
                     item.ReplacementString);
-            };
+            }
             return new MissingValueReplacingTransformer(env, input, cols).MakeDataTransform(input);
         }
 

diff --git a/src/Microsoft.ML.Transforms/RandomFourierFeaturizing.cs b/src/Microsoft.ML.Transforms/RandomFourierFeaturizing.cs
@@ -429,7 +429,7 @@ private static IDataTransform Create(IHostEnvironment env, Options options, IDat
                         item.Source ?? item.Name,
                         (item.MatrixGenerator ?? options.MatrixGenerator).CreateComponent(env),
                         item.Seed ?? options.Seed);
-                };
+                }
             }
             return new ApproximatedKernelTransformer(env, input, cols).MakeDataTransform(input);
         }

diff --git a/src/Microsoft.ML.Transforms/Text/NgramHashingTransformer.cs b/src/Microsoft.ML.Transforms/Text/NgramHashingTransformer.cs
@@ -355,7 +355,7 @@ private static IDataTransform Create(IHostEnvironment env, Options options, IDat
                         item.MaximumNumberOfInverts ?? options.MaximumNumberOfInverts,
                         item.RehashUnigrams ?? options.RehashUnigrams
                         );
-                };
+                }
             }
             return new NgramHashingTransformer(env, input, cols).MakeDataTransform(input);
         }

diff --git a/src/Microsoft.ML.Transforms/Text/NgramTransform.cs b/src/Microsoft.ML.Transforms/Text/NgramTransform.cs
@@ -429,7 +429,7 @@ internal static IDataTransform Create(IHostEnvironment env, Options options, IDa
                         item.Weighting ?? options.Weighting,
                         maxNumTerms,
                         item.Source ?? item.Name);
-                };
+                }
             }
             return new NgramExtractingTransformer(env, input, cols).MakeDataTransform(input);
         }

diff --git a/src/Microsoft.ML.Transforms/Text/TokenizingByCharacters.cs b/src/Microsoft.ML.Transforms/Text/TokenizingByCharacters.cs
@@ -258,7 +258,7 @@ private void SaveAsOnnxCore(OnnxContext ctx, int iinfo, string srcVariableName,
                 node = ctx.CreateNode(opType, squeezeOutput, labelEncoderOutput, ctx.GetNodeName(opType));
 
                 IEnumerable<string> charStrings = Enumerable.Range(0, 65535).Select(x => ((char)x).ToString());
-                IEnumerable<long> charValues = Enumerable.Range(0, 65535).Select(x => Convert.ToInt64(x)); ;
+                IEnumerable<long> charValues = Enumerable.Range(0, 65535).Select(x => Convert.ToInt64(x));
                 node.AddAttribute("keys_strings", charStrings);
                 node.AddAttribute("values_int64s", charValues);