fix code style

diff --git a/src/daemon/distribution.c b/src/daemon/distribution.c
index f5d6bf04ad6e0622cbf4493969d91972c86336a3..545c370a5c9ced43df334a60c6b6f059d646586c 100644 (file)
--- a/src/daemon/distribution.c
+++ b/src/daemon/distribution.c
@@ -32,7 +32,8 @@ struct distribution_s {
   bucket_t *tree;
   size_t num_buckets;
   double total_sum;
-  double total_square_sum; //the sum of squares of gauges. We'll need it to calculate sum of squared deviations
+  double total_square_sum; // the sum of squares of gauges. We'll need it to
+                           // calculate sum of squared deviations
   pthread_mutex_t mutex;
 };
 
@@ -313,14 +314,14 @@ double distribution_total_sum(distribution_t *dist) {
   if (dist == NULL) {
     return NAN;
   }
-  return dist->total_sum; //should I add mutex here?
+  return dist->total_sum; // should I add mutex here?
 }
 
 double distribution_total_counter(distribution_t *dist) {
   if (dist == NULL) {
     return NAN;
   }
-  return dist->tree[0].bucket_counter; //should I add mutex here?
+  return dist->tree[0].bucket_counter; // should I add mutex here?
 }
 
 double distribution_squared_deviation_sum(distribution_t *dist) {
@@ -329,7 +330,9 @@ double distribution_squared_deviation_sum(distribution_t *dist) {
   }
   double mean = distribution_average(dist);
   pthread_mutex_lock(&dist->mutex);
-  double squared_deviation_sum = mean * mean * distribution_total_counter(dist) - 2 * mean * dist->total_sum + dist->total_square_sum;
+  double squared_deviation_sum =
+      mean * mean * distribution_total_counter(dist) -
+      2 * mean * dist->total_sum + dist->total_square_sum;
   pthread_mutex_unlock(&dist->mutex);
   return squared_deviation_sum;
 }

diff --git a/src/daemon/distribution_test.c b/src/daemon/distribution_test.c
index 659a4d6a5910b52124e496e4a276f4f63b93d019..3f3dd9e9232faf7d159607deee3fe4acbf728b29 100644 (file)
--- a/src/daemon/distribution_test.c
+++ b/src/daemon/distribution_test.c
@@ -486,48 +486,56 @@ DEF_TEST(getters) {
     double want_squared_deviation_sum;
   } cases[] = {
       {
-        .dist = distribution_new_linear(5, 7),
-        .num_buckets = 5,
-        .num_gauges = 1,
-        .update_gauges = (double[]){4},
-        .want_counter = 1,
-        .want_total_sum = 4,
-        .want_average = 4,
-        .want_squared_deviation_sum = 0,
-      },
-      {
-        .dist = distribution_new_exponential(5, 2, 1),
-        .num_buckets = 5,
-        .num_gauges = 7,
-        .update_gauges = (double[]){5, 17.4, 22.3, 11, 0.5, 13, 11},
-        .want_counter = 7,
-        .want_total_sum = 80.2,
-        .want_average = 80.2 / 7,
-        .want_squared_deviation_sum = 7 * 80.2 / 7 * 80.2 / 7 - 2 * 80.2 / 7 * 80.2 + 1236.3,
-      },
-      {
-        .dist = distribution_new_linear(100, 10),
-        .num_buckets = 100,
-        .num_gauges = 10,
-        .update_gauges = (double[]){5, 11.23, 29.48, 66.77, 11.22, 33.21, 55, 26.27, 96, 2},
-        .want_counter = 10,
-        .want_total_sum = 336.18,
-        .want_average = 33.618,
-        .want_squared_deviation_sum = 10 * 336.18 / 10 * 336.18 / 10 - 2 * 336.18 / 10 * 336.18 + 19642.3216,
+          .dist = distribution_new_linear(5, 7),
+          .num_buckets = 5,
+          .num_gauges = 1,
+          .update_gauges = (double[]){4},
+          .want_counter = 1,
+          .want_total_sum = 4,
+          .want_average = 4,
+          .want_squared_deviation_sum = 0,
+      },
+      {
+          .dist = distribution_new_exponential(5, 2, 1),
+          .num_buckets = 5,
+          .num_gauges = 7,
+          .update_gauges = (double[]){5, 17.4, 22.3, 11, 0.5, 13, 11},
+          .want_counter = 7,
+          .want_total_sum = 80.2,
+          .want_average = 80.2 / 7,
+          .want_squared_deviation_sum =
+              7 * 80.2 / 7 * 80.2 / 7 - 2 * 80.2 / 7 * 80.2 + 1236.3,
+      },
+      {
+          .dist = distribution_new_linear(100, 10),
+          .num_buckets = 100,
+          .num_gauges = 10,
+          .update_gauges = (double[]){5, 11.23, 29.48, 66.77, 11.22, 33.21, 55,
+                                      26.27, 96, 2},
+          .want_counter = 10,
+          .want_total_sum = 336.18,
+          .want_average = 33.618,
+          .want_squared_deviation_sum = 10 * 336.18 / 10 * 336.18 / 10 -
+                                        2 * 336.18 / 10 * 336.18 + 19642.3216,
       },
   };
   for (size_t i = 0; i < sizeof(cases) / sizeof(cases[0]); i++) {
-    EXPECT_EQ_INT(distribution_num_buckets(cases[i].dist), cases[i].num_buckets);
+    EXPECT_EQ_INT(distribution_num_buckets(cases[i].dist),
+                  cases[i].num_buckets);
     for (size_t j = 0; j < cases[i].num_gauges; j++) {
       distribution_update(cases[i].dist, cases[i].update_gauges[j]);
     }
-    EXPECT_EQ_INT(distribution_total_counter(cases[i].dist), cases[i].want_counter);
-    EXPECT_EQ_DOUBLE(distribution_total_sum(cases[i].dist), cases[i].want_total_sum);
-    EXPECT_EQ_DOUBLE(distribution_average(cases[i].dist), cases[i].want_average);
-    EXPECT_EQ_DOUBLE(distribution_squared_deviation_sum(cases[i].dist), cases[i].want_squared_deviation_sum);
+    EXPECT_EQ_INT(distribution_total_counter(cases[i].dist),
+                  cases[i].want_counter);
+    EXPECT_EQ_DOUBLE(distribution_total_sum(cases[i].dist),
+                     cases[i].want_total_sum);
+    EXPECT_EQ_DOUBLE(distribution_average(cases[i].dist),
+                     cases[i].want_average);
+    EXPECT_EQ_DOUBLE(distribution_squared_deviation_sum(cases[i].dist),
+                     cases[i].want_squared_deviation_sum);
 
     distribution_destroy(cases[i].dist);
-  } 
+  }
   return 0;
 }
 int main() {