remove some whitespace at end of lines

8 files changed, 12 insertions, 12 deletions

diff --git a/eval/src/tests/ann/nns-l2.h b/eval/src/tests/ann/nns-l2.h
index 022542124aa..3b9fb6a81ab 100644
--- a/eval/src/tests/ann/nns-l2.h
+++ b/eval/src/tests/ann/nns-l2.h
@@ -7,7 +7,7 @@
 
 template <typename T, size_t VLEN>
 static double hw_l2_sq_dist(const T * af, const T * bf, size_t sz)
-{   
+{
     constexpr const size_t OpsPerV = VLEN/sizeof(T);
     typedef T V __attribute__ ((vector_size (VLEN), aligned(VLEN)));
 
@@ -17,7 +17,7 @@ static double hw_l2_sq_dist(const T * af, const T * bf, size_t sz)
     V tmp_diff;
     V tmp_squa;
     V tmp_sum;
-    memset(&tmp_sum, 0, sizeof(tmp_sum)); 
+    memset(&tmp_sum, 0, sizeof(tmp_sum));
 
     const size_t numOps = sz/OpsPerV;
     for (size_t i = 0; i < numOps; ++i) {
diff --git a/eval/src/vespa/eval/eval/basic_nodes.h b/eval/src/vespa/eval/eval/basic_nodes.h
index b5cf36b853b..1aaf72beaa8 100644
--- a/eval/src/vespa/eval/eval/basic_nodes.h
+++ b/eval/src/vespa/eval/eval/basic_nodes.h
@@ -71,7 +71,7 @@ using Node_UP = std::unique_ptr<Node>;
  *   auto number = as<Number>(node);
  *   if (number) {
  *      do_stuff(number->value());
- *   } 
+ *   }
  * </pre>
  **/
 template<typename T>
diff --git a/eval/src/vespa/eval/eval/tensor_function.h b/eval/src/vespa/eval/eval/tensor_function.h
index c5cc99d9137..8f96110b6d8 100644
--- a/eval/src/vespa/eval/eval/tensor_function.h
+++ b/eval/src/vespa/eval/eval/tensor_function.h
@@ -151,12 +151,12 @@ public:
 class Op1 : public Node
 {
 private:
-    Child _child;    
+    Child _child;
 public:
     Op1(const ValueType &result_type_in,
         const TensorFunction &child_in)
         : Node(result_type_in), _child(child_in) {}
-    const TensorFunction &child() const { return _child.get(); }    
+    const TensorFunction &child() const { return _child.get(); }
     void push_children(std::vector<Child::CREF> &children) const final override;
     void visit_children(vespalib::ObjectVisitor &visitor) const final override;
 };
@@ -291,7 +291,7 @@ class Concat : public Op2
 {
     using Super = Op2;
 private:
-    vespalib::string _dimension;    
+    vespalib::string _dimension;
 public:
     Concat(const ValueType &result_type_in,
            const TensorFunction &lhs_in,
@@ -448,7 +448,7 @@ public:
     const TensorFunction &cond() const { return _cond.get(); }
     const TensorFunction &true_child() const { return _true_child.get(); }
     const TensorFunction &false_child() const { return _false_child.get(); }
-    void push_children(std::vector<Child::CREF> &children) const final override;    
+    void push_children(std::vector<Child::CREF> &children) const final override;
     bool result_is_mutable() const override {
         return (true_child().result_is_mutable() &&
                 false_child().result_is_mutable());
diff --git a/eval/src/vespa/eval/eval/test/gen_spec.h b/eval/src/vespa/eval/eval/test/gen_spec.h
index 5f507eeb272..30893eb90a9 100644
--- a/eval/src/vespa/eval/eval/test/gen_spec.h
+++ b/eval/src/vespa/eval/eval/test/gen_spec.h
@@ -16,7 +16,7 @@ using Sequence = std::function<double(size_t)>;
 
 // Sequence counting up from 1 (default)
 // bias (starting point) can be adjusted
-// bias = 1.5 -> 1.5, 2.5, 3.5 ... 
+// bias = 1.5 -> 1.5, 2.5, 3.5 ...
 Sequence N(double bias = 1.0);
 
 // Sequence of numbers ax + b (where x is the index)
diff --git a/eval/src/vespa/eval/instruction/generic_rename.h b/eval/src/vespa/eval/instruction/generic_rename.h
index 62a0685edce..67ea311153e 100644
--- a/eval/src/vespa/eval/instruction/generic_rename.h
+++ b/eval/src/vespa/eval/instruction/generic_rename.h
@@ -12,7 +12,7 @@
 namespace vespalib::eval { struct ValueBuilderFactory; }
 
 namespace vespalib::eval::instruction {
- 
+
 struct DenseRenamePlan {
     SmallVector<size_t> loop_cnt;
     SmallVector<size_t> stride;
diff --git a/eval/src/vespa/eval/instruction/join_with_number_function.h b/eval/src/vespa/eval/instruction/join_with_number_function.h
index a459d76153f..1ced038c5eb 100644
--- a/eval/src/vespa/eval/instruction/join_with_number_function.h
+++ b/eval/src/vespa/eval/instruction/join_with_number_function.h
@@ -19,7 +19,7 @@ private:
     Primary _primary;
     tensor_function::join_fun_t _function;
 public:
-    
+
     JoinWithNumberFunction(const tensor_function::Join &original_join, bool number_on_left);
     ~JoinWithNumberFunction();
     Primary primary() const { return _primary; }
diff --git a/eval/src/vespa/eval/instruction/mapped_lookup.h b/eval/src/vespa/eval/instruction/mapped_lookup.h
index 2b66c6cf4aa..5b29c61e37d 100644
--- a/eval/src/vespa/eval/instruction/mapped_lookup.h
+++ b/eval/src/vespa/eval/instruction/mapped_lookup.h
@@ -15,7 +15,7 @@ namespace vespalib::eval {
  *
  * Both tensors must have the same cell type, which can be either
  * float or double.
- * 
+ *
  * The optimized expression looks like this: reduce(key*map,sum,x)
  *
  * If 'map' is also sparse, the lookup operation is a sparse dot
diff --git a/eval/src/vespa/eval/instruction/sum_max_dot_product_function.h b/eval/src/vespa/eval/instruction/sum_max_dot_product_function.h
index 195823f38b9..403d023129c 100644
--- a/eval/src/vespa/eval/instruction/sum_max_dot_product_function.h
+++ b/eval/src/vespa/eval/instruction/sum_max_dot_product_function.h
@@ -9,7 +9,7 @@ namespace vespalib::eval {
 /**
  * Tensor function combining multiple dot products with multiple
  * layers of aggregation, resulting in a single scalar result.
- * 
+ *
  * inputs:
  *   query:    tensor<float>(qt{},x[32])
  *   document: tensor<float>(dt{},x[32])