chore: import upstream snapshot with attribution

2026-07-13 13:02:50 +08:00
commit 0fc60fdcb1
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+/*
+ * 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.
+*/
+
+using System;
+using System.Collections.Generic;
+using System.Threading;
+using QuantConnect.Interfaces;
+
+namespace QuantConnect.Algorithm.CSharp
+{
+    /// <summary>
+    /// This regression algorithm is expected to fail and verifies that a training event
+    /// created in Initialize will get run AND it will cause the algorithm to fail if it
+    /// exceeds the "algorithm-manager-time-loop-maximum" config value, which the regression
+    /// test sets to 0.5 minutes.
+    /// </summary>
+    public class TrainingInitializeRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
+    {
+        public override void Initialize()
+        {
+            SetStartDate(2013, 10, 7);
+            SetEndDate(2013, 10, 11);
+
+            AddEquity("SPY", Resolution.Daily);
+
+            // this should cause the algorithm to fail
+            // the regression test sets the time limit to 30 seconds and there's one extra
+            // minute in the bucket, so a two minute sleep should result in RuntimeError
+            Train(() => Thread.Sleep(TimeSpan.FromMinutes(2.5)));
+
+            // DateRules.Tomorrow combined with TimeRules.Midnight enforces that this event schedule will
+            // have exactly one time, which will fire between the first data point and the next day at
+            // midnight. So after the first data point, it will run this event and sleep long enough to
+            // exceed the static max algorithm time loop time and begin to consume from the leaky bucket
+            // the regression test sets the "algorithm-manager-time-loop-maximum" value to 30 seconds
+            Train(DateRules.Tomorrow, TimeRules.Midnight, () =>
+            {
+                // this will consume the single 'minute' available in the leaky bucket
+                // and the regression test will confirm that the leaky bucket is empty
+                Thread.Sleep(TimeSpan.FromMinutes(1));
+            });
+        }
+
+        public bool CanRunLocally => false;
+        public List<Language> Languages => new() { Language.CSharp };
+
+        /// <summary>
+        /// Data Points count of all timeslices of algorithm
+        /// </summary>
+        public long DataPoints => 0;
+
+        /// </summary>
+        /// Data Points count of the algorithm history
+        /// </summary>
+        public int AlgorithmHistoryDataPoints => 0;
+
+        /// <summary>
+        /// Final status of the algorithm
+        /// </summary>
+        public AlgorithmStatus AlgorithmStatus => AlgorithmStatus.RuntimeError;
+
+        public Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>();
+    }
+}