fixed cpplint errors about spaces and indents (#2282)

src/c_api.cpp

@@ -769,7 +769,6 @@ int LGBM_DatasetCreateFromCSRFunc(void* get_row_funptr,
     {
       const int tid = omp_get_thread_num();
       get_row_fun(i, threadBuffer);
-
       ret->PushOneRow(tid, i, threadBuffer);
     }
     OMP_LOOP_EX_END();
@@ -1313,8 +1312,7 @@ int LGBM_BoosterPredictForCSRSingleRow(BoosterHandle handle,
   }
   Booster* ref_booster = reinterpret_cast<Booster*>(handle);
   auto get_row_fun = RowFunctionFromCSR(indptr, indptr_type, indices, data, data_type, nindptr, nelem);
-  ref_booster->PredictSingleRow(num_iteration, predict_type, get_row_fun,
-                       config, out_result, out_len);
+  ref_booster->PredictSingleRow(num_iteration, predict_type, get_row_fun, config, out_result, out_len);
   API_END();
 }
 
@@ -1415,8 +1413,7 @@ int LGBM_BoosterPredictForMatSingleRow(BoosterHandle handle,
   }
   Booster* ref_booster = reinterpret_cast<Booster*>(handle);
   auto get_row_fun = RowPairFunctionFromDenseMatric(data, 1, ncol, data_type, is_row_major);
-  ref_booster->PredictSingleRow(num_iteration, predict_type, get_row_fun,
-                       config, out_result, out_len);
+  ref_booster->PredictSingleRow(num_iteration, predict_type, get_row_fun, config, out_result, out_len);
   API_END();
 }
 
@@ -1440,8 +1437,7 @@ int LGBM_BoosterPredictForMats(BoosterHandle handle,
   }
   Booster* ref_booster = reinterpret_cast<Booster*>(handle);
   auto get_row_fun = RowPairFunctionFromDenseRows(data, ncol, data_type);
-  ref_booster->Predict(num_iteration, predict_type, nrow, get_row_fun,
-                       config, out_result, out_len);
+  ref_booster->Predict(num_iteration, predict_type, nrow, get_row_fun, config, out_result, out_len);
   API_END();
 }
 

src/io/tree.cpp

@@ -568,15 +568,13 @@ Tree::Tree(const char* str, size_t* used_len) {
 
   if (key_vals.count("internal_weight")) {
     internal_weight_ = Common::StringToArrayFast<double>(key_vals["internal_weight"], num_leaves_ - 1);
-  }
-  else {
+  } else {
     internal_weight_.resize(num_leaves_ - 1);
   }
 
   if (key_vals.count("leaf_weight")) {
     leaf_weight_ = Common::StringToArrayFast<double>(key_vals["leaf_weight"], num_leaves_);
-  }
-  else {
+  } else {
     leaf_weight_.resize(num_leaves_);
   }
 

src/metric/multiclass_metric.hpp

@@ -20,7 +20,7 @@ namespace LightGBM {
 template<typename PointWiseLossCalculator>
 class MulticlassMetric: public Metric {
  public:
-  explicit MulticlassMetric(const Config& config) :config_(config){
+  explicit MulticlassMetric(const Config& config) :config_(config) {
     num_class_ = config.num_class;
   }
 
@@ -149,8 +149,11 @@ class MultiErrorMetric: public MulticlassMetric<MultiErrorMetric> {
   }
 
   inline static const std::string Name(const Config& config) {
-    if (config.multi_error_top_k == 1) return "multi_error";
-    else return "multi_error@" + std::to_string(config.multi_error_top_k);
+    if (config.multi_error_top_k == 1) {
+      return "multi_error";
+    } else {
+      return "multi_error@" + std::to_string(config.multi_error_top_k);
+    }
   }
 };
 

src/objective/regression_objective.hpp

@@ -239,23 +239,23 @@ class RegressionL1loss: public RegressionL2loss {
     const double alpha = 0.5;
     if (weights_ == nullptr) {
       if (bagging_mapper == nullptr) {
-        #define data_reader(i) (residual_getter(label_,index_mapper[i]))
+        #define data_reader(i) (residual_getter(label_, index_mapper[i]))
         PercentileFun(double, data_reader, num_data_in_leaf, alpha);
         #undef data_reader
       } else {
-        #define data_reader(i) (residual_getter(label_,bagging_mapper[index_mapper[i]]))
+        #define data_reader(i) (residual_getter(label_, bagging_mapper[index_mapper[i]]))
         PercentileFun(double, data_reader, num_data_in_leaf, alpha);
         #undef data_reader
       }
     } else {
       if (bagging_mapper == nullptr) {
-        #define data_reader(i) (residual_getter(label_,index_mapper[i]))
+        #define data_reader(i) (residual_getter(label_, index_mapper[i]))
         #define weight_reader(i) (weights_[index_mapper[i]])
         WeightedPercentileFun(double, data_reader, weight_reader, num_data_in_leaf, alpha);
         #undef data_reader
         #undef weight_reader
       } else {
-        #define data_reader(i) (residual_getter(label_,bagging_mapper[index_mapper[i]]))
+        #define data_reader(i) (residual_getter(label_, bagging_mapper[index_mapper[i]]))
         #define weight_reader(i) (weights_[bagging_mapper[index_mapper[i]]])
         WeightedPercentileFun(double, data_reader, weight_reader, num_data_in_leaf, alpha);
         #undef data_reader
@@ -526,23 +526,23 @@ class RegressionQuantileloss : public RegressionL2loss {
                          data_size_t num_data_in_leaf) const override {
     if (weights_ == nullptr) {
       if (bagging_mapper == nullptr) {
-        #define data_reader(i) (residual_getter(label_,index_mapper[i]))
+        #define data_reader(i) (residual_getter(label_, index_mapper[i]))
         PercentileFun(double, data_reader, num_data_in_leaf, alpha_);
         #undef data_reader
       } else {
-        #define data_reader(i) (residual_getter(label_,bagging_mapper[index_mapper[i]]))
+        #define data_reader(i) (residual_getter(label_, bagging_mapper[index_mapper[i]]))
         PercentileFun(double, data_reader, num_data_in_leaf, alpha_);
         #undef data_reader
       }
     } else {
       if (bagging_mapper == nullptr) {
-        #define data_reader(i) (residual_getter(label_,index_mapper[i]))
+        #define data_reader(i) (residual_getter(label_, index_mapper[i]))
         #define weight_reader(i) (weights_[index_mapper[i]])
         WeightedPercentileFun(double, data_reader, weight_reader, num_data_in_leaf, alpha_);
         #undef data_reader
         #undef weight_reader
       } else {
-        #define data_reader(i) (residual_getter(label_,bagging_mapper[index_mapper[i]]))
+        #define data_reader(i) (residual_getter(label_, bagging_mapper[index_mapper[i]]))
         #define weight_reader(i) (weights_[bagging_mapper[index_mapper[i]]])
         WeightedPercentileFun(double, data_reader, weight_reader, num_data_in_leaf, alpha_);
         #undef data_reader
@@ -627,13 +627,13 @@ class RegressionMAPELOSS : public RegressionL1loss {
                          data_size_t num_data_in_leaf) const override {
     const double alpha = 0.5;
     if (bagging_mapper == nullptr) {
-      #define data_reader(i) (residual_getter(label_,index_mapper[i]))
+      #define data_reader(i) (residual_getter(label_, index_mapper[i]))
       #define weight_reader(i) (label_weight_[index_mapper[i]])
       WeightedPercentileFun(double, data_reader, weight_reader, num_data_in_leaf, alpha);
       #undef data_reader
       #undef weight_reader
     } else {
-      #define data_reader(i) (residual_getter(label_,bagging_mapper[index_mapper[i]]))
+      #define data_reader(i) (residual_getter(label_, bagging_mapper[index_mapper[i]]))
       #define weight_reader(i) (label_weight_[bagging_mapper[index_mapper[i]]])
       WeightedPercentileFun(double, data_reader, weight_reader, num_data_in_leaf, alpha);
       #undef data_reader

swig/lightgbmlib.i

+/*!
+ * Copyright (c) 2018 Microsoft Corporation. All rights reserved.
+ * Licensed under the MIT License. See LICENSE file in the project root for license information.
+ */
 /* lightgbmlib.i */
 %module lightgbmlib
 %ignore LGBM_BoosterSaveModelToString;
@@ -23,7 +27,7 @@
 %include "../include/LightGBM/export.h"
 %include "../include/LightGBM/c_api.h"
 
-%typemap(in, numinputs=0) JNIEnv *jenv %{
+%typemap(in, numinputs = 0) JNIEnv *jenv %{
   $1 = jenv;
 %}
 
@@ -117,8 +121,8 @@
     return ret;
   }
 
-  #include <vector>
   #include <functional>
+  #include <vector>
 
   struct CSRDirect {
           jintArray indices;
@@ -145,7 +149,7 @@
     // this needs to be done ahead of time as row_func is invoked from multiple threads
     // these threads would have to be registered with the JVM and also unregistered.
     // It is not clear if that can be achieved with OpenMP
-   for (int i=0; i<num_rows; i++) {
+    for (int i = 0; i < num_rows; i++) {
       // get the row
       jobject objSparseVec = jenv->GetObjectArrayElement(arrayOfSparseVector, i);
 
@@ -224,7 +228,7 @@
 %array_functions(char *, stringArray)
 
 /* Custom pointer manipulation template */
-%define %pointer_manipulation(TYPE,NAME)
+%define %pointer_manipulation(TYPE, NAME)
 %{
   static TYPE *new_##NAME() { %}
   %{  TYPE* NAME = new TYPE; return NAME; %}
@@ -240,7 +244,7 @@ void  delete_##NAME(TYPE *self);
 
 %enddef
 
-%define %pointer_dereference(TYPE,NAME)
+%define %pointer_dereference(TYPE, NAME)
 %{
   static TYPE NAME ##_value(TYPE *self) {
     TYPE NAME = *self;
@@ -252,7 +256,7 @@ TYPE NAME##_value(TYPE *self);
 
 %enddef
 
-%define %pointer_handle(TYPE,NAME)
+%define %pointer_handle(TYPE, NAME)
 %{
   static TYPE* NAME ##_handle() { %}
   %{ TYPE* NAME = new TYPE; *NAME = (TYPE)operator new(sizeof(int*)); return NAME; %}