/* * 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 NUnit.Framework; using Python.Runtime; using QuantConnect.Python; namespace QuantConnect.Tests.Python { [TestFixture] public class BasePythonWrapperTests { [Test] public void EqualsReturnsTrueForWrapperAndUnderlyingModel() { using var _ = Py.GIL(); var module = PyModule.FromString("EqualsReturnsTrueForWrapperAndUnderlyingModel", @" from clr import AddReference AddReference('QuantConnect.Tests') from QuantConnect.Tests.Python import BasePythonWrapperTests class PythonDerivedTestModel(BasePythonWrapperTests.TestModel): pass class PythonTestModel: pass "); var pyDerivedModel = module.GetAttr("PythonDerivedTestModel").Invoke(); var wrapper = new BasePythonWrapper(pyDerivedModel); var pyModel = module.GetAttr("PythonTestModel").Invoke(); Assert.IsTrue(wrapper.Equals(pyDerivedModel)); Assert.IsTrue(wrapper.Equals(new BasePythonWrapper(pyDerivedModel))); Assert.IsFalse(wrapper.Equals(pyModel)); } public interface ITestModel { } public class TestModel : ITestModel { } } }