Ronit Jain
15066ae5e1
* add data count properties * 'add history count property * assert data counts * update missing override * consider override/virtual cases * implement data count * add message handler for regression tests * use regression test message handler * set algorithm manager for regression test message handler * update data count * check if stats are present, check if algo manager is not null * update * add c# algo * make same as c# algo * use new line * logic shifted to RegressionTestMessageHandler * cleanup * auto cleanup * skip non deterministic data count * change data count * use inheritance * improve stats * update couht * add sma indicator to c# and customSMA to python * call base method before executing further * skip test * revert to original * add duplicate sma * skip regression test
53 lines
2.0 KiB
C#
53 lines
2.0 KiB
C#
/*
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* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
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* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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using System.Collections.Generic;
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namespace QuantConnect.Interfaces
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{
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/// <summary>
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/// Defines a C# algorithm as a regression algorithm to be run as part of the test suite.
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/// This interface also allows the algorithm to declare that it has versions in other languages
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/// that should yield identical results.
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/// </summary>
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public interface IRegressionAlgorithmDefinition
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{
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/// <summary>
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/// This is used by the regression test system to indicate if the open source Lean repository has the required data to run this algorithm.
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/// </summary>
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bool CanRunLocally { get; }
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/// <summary>
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/// This is used by the regression test system to indicate which languages this algorithm is written in.
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/// </summary>
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Language[] Languages { get; }
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/// <summary>
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/// Data Points count of all timeslices of algorithm
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/// </summary>
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long DataPoints { get; }
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/// <summary>
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/// Data Points count of the algorithm history
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/// </summary>
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int AlgorithmHistoryDataPoints { get; }
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/// <summary>
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/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
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/// </summary>
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Dictionary<string, string> ExpectedStatistics { get; }
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}
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}
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