Benchmarks: mtree and vptree benchmark updates

Note: cosine similarity doesn't seem to work for VPTree--I don't think
that it is actually a metric, upon further research. At the very least I
can't find anyone claiming it is, and I've found several people claiming
it isn't. On testing with the Word2Vec data, Euclidean distance works
insofar as the M-Tree and VPTree return the same KNN results for test
queries, whereas Cosine Similarity does not work.

1 files changed, 2 insertions, 1 deletions

diff --git a/benchmarks/include/bench.h b/benchmarks/include/bench.h
index 12d0a7e..586ff12 100644
--- a/benchmarks/include/bench.h
+++ b/benchmarks/include/bench.h
@@ -85,7 +85,7 @@ static bool insert_tput_bench(DE &de_index, std::fstream &file, size_t insert_cn
 }
 
 template <typename DE, de::RecordInterface R, typename QP, bool PROGRESS=true>
-static bool query_latency_bench(DE &de_index, std::vector<QP> queries, size_t trial_cnt=100) {
+static bool query_latency_bench(DE &de_index, std::vector<QP> queries, size_t trial_cnt=1) {
     char progbuf[25];
     if constexpr (PROGRESS) {
         sprintf(progbuf, "querying:");
@@ -102,6 +102,7 @@ static bool query_latency_bench(DE &de_index, std::vector<QP> queries, size_t tr
         auto start = std::chrono::high_resolution_clock::now();
         for (size_t j=0; j<queries.size(); j++) {
             auto res = de_index.query(&queries[j]);
+
             total_results += res.size();
         }
         auto stop = std::chrono::high_resolution_clock::now();