fix: run code clean.

src/TensorFlowNET.Core/NumPy/NDArray.Operators.cs

@@ -1,8 +1,4 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using static Tensorflow.Binding;
+using static Tensorflow.Binding;
 
 namespace Tensorflow.NumPy
 {
@@ -14,24 +10,24 @@ namespace Tensorflow.NumPy
         public static NDArray operator -(NDArray lhs, NDArray rhs) => new NDArray(BinaryOpWrapper("sub", lhs, rhs));
         [AutoNumPy]
         public static NDArray operator *(NDArray lhs, NDArray rhs) => new NDArray(BinaryOpWrapper("mul", lhs, rhs));
-        [AutoNumPy] 
+        [AutoNumPy]
         public static NDArray operator /(NDArray lhs, NDArray rhs) => new NDArray(BinaryOpWrapper("div", lhs, rhs));
         [AutoNumPy]
         public static NDArray operator %(NDArray lhs, NDArray rhs) => new NDArray(BinaryOpWrapper("mod", lhs, rhs));
-        [AutoNumPy] 
+        [AutoNumPy]
         public static NDArray operator >(NDArray lhs, NDArray rhs) => new NDArray(gen_math_ops.greater(lhs, rhs));
-        [AutoNumPy] 
+        [AutoNumPy]
         public static NDArray operator <(NDArray lhs, NDArray rhs) => new NDArray(gen_math_ops.less(lhs, rhs));
-        [AutoNumPy] 
+        [AutoNumPy]
         public static NDArray operator -(NDArray lhs) => new NDArray(gen_math_ops.neg(lhs));
         [AutoNumPy]
         public static NDArray operator ==(NDArray lhs, NDArray rhs)
         {
-            if(ReferenceEquals(lhs, rhs))
+            if (ReferenceEquals(lhs, rhs))
                 return Scalar(true);
-            if(lhs is null)
+            if (lhs is null)
                 return Scalar(false);
-            if(rhs is null)
+            if (rhs is null)
                 return Scalar(false);
             // TODO(Rinne): use np.allclose instead.
             if (lhs.dtype.is_floating() || rhs.dtype.is_floating())
@@ -47,9 +43,9 @@ namespace Tensorflow.NumPy
         [AutoNumPy]
         public static NDArray operator !=(NDArray lhs, NDArray rhs)
         {
-            if(ReferenceEquals(lhs, rhs))
+            if (ReferenceEquals(lhs, rhs))
                 return Scalar(false);
-            if(lhs is null || rhs is null)
+            if (lhs is null || rhs is null)
                 return Scalar(true);
             if (lhs.dtype.is_floating() || rhs.dtype.is_floating())
             {