chore: import upstream snapshot with attribution

Algorithm.Python/Benchmarks/EmptySingleSecuritySecondEquityBenchmark.py

@@ -0,0 +1,31 @@
+# QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
+# Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from AlgorithmImports import *
+
+### <summary>
+### Benchmark Algorithm: Pure processing of 1 equity second resolution with the same benchmark.
+### </summary>
+### <remarks>
+### This should eliminate the synchronization part of LEAN and focus on measuring the performance of a single datafeed and event handling system.
+### </remarks>
+class EmptySingleSecuritySecondEquityBenchmark(QCAlgorithm):
+
+    def initialize(self):
+        self.set_start_date(2008, 1, 1)
+        self.set_end_date(2008, 6, 1)
+        self.set_benchmark(lambda x: 1)
+        self.add_equity("SPY", Resolution.SECOND)
+    
+    def on_data(self, data):
+        pass