refactor: Temporarily skip parallel=100 benchmark runs

Author: KShivendu

engine/base_client/search.py

@@ -71,6 +71,21 @@ def search_all(
 
         search_one = functools.partial(self.__class__._search_one, top=top)
 
+        if parallel == 100:
+            return {
+                "total_time": 0,
+                "mean_time": 0,
+                "mean_precisions": 0,
+                "std_time": 0,
+                "min_time": 0,
+                "max_time": 0,
+                "rps": 0,
+                "p95_time": 0,
+                "p99_time": 0,
+                "precisions": [],
+                "latencies": [],
+            }
+
         if parallel == 1:
             start = time.perf_counter()
             precisions, latencies = list(

engine/base_client/upload.py

@@ -38,6 +38,14 @@ def upload(
             self.host, distance, self.connection_params, self.upload_params
         )
 
+        if parallel == 100:
+            return {
+                "post_upload": {},
+                "upload_time": 0,
+                "total_time": 0,
+                "latencies": []
+            }
+
         if parallel == 1:
             for batch in iter_batches(tqdm.tqdm(records), batch_size):
                 latencies.append(self._upload_batch(batch))