1 files changed, 14 insertions, 17 deletions

diff --git a/main.c b/main.c
index 6acaf60..bc8df45 100644
--- a/main.c
+++ b/main.c
@@ -213,47 +213,44 @@ FIND_CBS = {
 };
 
 static void
-print_csv_row(
+ctx_csv_print_row(
   const ctx_t * const ctx,
+  FILE * const fh,
   const size_t i
 ) {
   const size_t num_clusters = i + 2;
   const float mean_distance = ctx->rows[i].distance / NUM_TESTS,
               mean_variance = ctx->rows[i].variance / NUM_TESTS,
               mean_cluster_size = ctx->rows[i].cluster_size / NUM_TESTS,
-              mean_empty_clusters = 1.0 * ctx->rows[i].num_empty_clusters / NUM_TESTS,
-              score = km_score(mean_distance, mean_empty_clusters);
+              mean_empty = 1.0 * ctx->rows[i].num_empty_clusters / NUM_TESTS,
+              score = km_score(mean_distance, mean_empty);
 
   // print result
-  printf("%zu,%0.3f,%0.3f,%0.3f,%0.3f,%0.3f\n",
+  fprintf(fh, "%zu,%0.3f,%0.3f,%0.3f,%0.3f,%0.3f\n",
     num_clusters,
     score,
     mean_distance,
     mean_variance,
     mean_cluster_size,
-    mean_empty_clusters
+    mean_empty
   );
 }
 
 static void
-print_csv(
-  const ctx_t * const ctx
+ctx_csv_print(
+  const ctx_t * const ctx,
+  FILE * const fh
 ) {
   // print headers
-  printf(
-    "#,"
-    "score,"
-    "distance,"
-    "variance,"
-    "cluster_size,"
-    "empty_clusters\n"
-  );
+  fprintf(fh, "#,score,distance,variance,cluster_size,empty_clusters\n");
 
+  // print rows
   for (size_t i = 0; i < MAX_CLUSTERS - 2; i++) {
-    print_csv_row(ctx, i);
+    ctx_csv_print_row(ctx, fh, i);
   }
 }
 
+// static image data buffer
 static uint8_t im_data[3 * IM_WIDTH * IM_HEIGHT];
 
 static void
@@ -347,7 +344,7 @@ int main(int argc, char *argv[]) {
   }
 
   // print csv
-  print_csv(&ctx);
+  ctx_csv_print(&ctx, stdout);
 
   // sort best results from lowest to highest
   ctx_best_sort(&ctx);