chore: import upstream snapshot with attribution

Algorithm.Python/CoarseFineAsyncUniverseRegressionAlgorithm.py

@@ -0,0 +1,46 @@
+# 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>
+### Regression algorithm asserting that using separate coarse & fine selection with async universe settings is not allowed
+### </summary>
+class CoarseFineAsyncUniverseRegressionAlgorithm(QCAlgorithm):
+
+    def initialize(self):
+        '''Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.'''
+
+        self.set_start_date(2013, 10, 7)
+        self.set_end_date(2013, 10, 11)
+
+        self.universe_settings.asynchronous = True
+
+        threw_exception = False
+        try:
+            self.add_universe(self.coarse_selection_function, self.fine_selection_function)
+        except:
+            # expected
+            threw_exception = True
+            pass
+
+        if not threw_exception:
+            raise ValueError("Expected exception to be thrown for AddUniverse")
+
+        self.set_universe_selection(FineFundamentalUniverseSelectionModel(self.coarse_selection_function, self.fine_selection_function))
+
+    def coarse_selection_function(self, coarse):
+        return []
+
+    def fine_selection_function(self, fine):
+        return []