update user guide font size

closest_sample.py

@@ -39,7 +39,8 @@ def pca_distance(pca,sample,embedding,top_k):
     distances = np.linalg.norm(all - s, axis=1)
     sorted_indices = np.argsort(distances)
     filtered_indices = sorted_indices[sorted_indices<=2852]
-    return np.concatenate(filtered_indices[:2],filtered_indices[3:6])
+    top_indices = np.concatenate([filtered_indices[:2], filtered_indices[3:top_k+1]])
+    return top_indices
 
 def return_paths(argsorted,files):
     paths= []