[mlir][sparse] remove unintended file and trailing white space

mlir/include/mlir/Dialect/SparseTensor/IR/SparseTensorTypes.td

 
 //===----------------------------------------------------------------------===//
 // Sparse Tensor Dialect Types.
 //===----------------------------------------------------------------------===//
 
 def SparseTensor_StorageSpecifier : SparseTensor_Type<"StorageSpecifier"> {
   let mnemonic = "storage_specifier";
   let summary = "Structured metadata for sparse tensor low-level storage scheme";
-  
   let description = [{
     Syntax:
 
     ```
     storage_specifier-type ::= `!storage_specifier` `<` encoding `>`
     encoding ::= attribute-value
     ```
 
     Values with storage_specifier types represent aggregated storage scheme metadata
     for the given sparse tensor encoding.
     It currently holds a set of values for sizes of sparse tensor dimension, index array,
     pointer array and value array.
     Note that the type is not yet stable and subject to change in the near future.
-    
     Examples:
 
     ```mlir
     // A storage specifier that can be used to store storage scheme metadata from CSR matrix.
     !storage_specifier<#CSR>
     ```
   }];
-  
   let parameters = (ins SparseTensorEncodingAttr : $encoding);
   let builders = [
     TypeBuilderWithInferredContext<(ins "SparseTensorEncodingAttr":$encoding), [{
       assert(encoding && "sparse tensor encoding should not be null");
       return $_get(encoding.getContext(), encoding);
     }]>,
     TypeBuilderWithInferredContext<(ins "Type":$type), [{
       return get(getSparseTensorEncoding(type));
     }]>,
     TypeBuilderWithInferredContext<(ins "Value":$tensor), [{
       return get(tensor.getType());
     }]>
   ];
-  
   let extraClassDeclaration = [{
     // Get the integer type used to store memory and dimension sizes.
     IntegerType getSizesType() const;
     Type getFieldType(StorageSpecifierKind kind, Optional<unsigned> dim) const;
     Type getFieldType(StorageSpecifierKind kind, Optional<APInt> dim) const;
   }];
 
   let assemblyFormat="`<` qualified($encoding) `>`";
 }
 
 def IsSparseTensorStorageSpecifierTypePred
     : CPred<"$_self.isa<::mlir::sparse_tensor::StorageSpecifierType>()">;
-    
 def SparseTensorStorageSpecifier
     : Type<CPred<"$_self.isa<::mlir::sparse_tensor::StorageSpecifierType>()">, "metadata",
           "::mlir::sparse_tensor::StorageSpecifierType">;
-    
 #endif // SPARSETENSOR_TYPES