Files
2026-07-13 13:02:50 +08:00

51 lines
1.8 KiB
C#

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