51 lines
1.8 KiB
C#
51 lines
1.8 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;
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using NUnit.Framework;
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using Python.Runtime;
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using QuantConnect.Algorithm;
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using QuantConnect.Securities.Equity;
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using QuantConnect.Tests.Engine.DataFeeds;
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namespace QuantConnect.Tests.Python
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{
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[TestFixture]
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public class NamedArgumentsTests
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{
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[Test]
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public void AddEquityTest()
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{
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var algorithm = new QCAlgorithm();
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algorithm.SubscriptionManager.SetDataManager(new DataManagerStub(algorithm));
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using (Py.GIL())
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{
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// Test function that will used named args in Python -> C#
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var module = PyModule.FromString(Guid.NewGuid().ToString(),
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"def test(algorithm):\n" +
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" aapl = algorithm.AddEquity(ticker='AAPL')\n" +
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" return aapl\n"
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);
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var testFunction = module.GetAttr("test");
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var equity = testFunction.Invoke(algorithm.ToPython()).As<Equity>();
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Assert.AreEqual("AAPL", equity.Symbol.Value);
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}
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}
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}
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}
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