chore: import upstream snapshot with attribution
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/*
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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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*/
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using Python.Runtime;
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using NUnit.Framework;
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using System.Collections.Generic;
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namespace QuantConnect.Tests.Python
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{
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[TestFixture]
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public class PythonCollectionsTests
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{
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private static dynamic containsKeyTest;
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private static dynamic containsTest;
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private static string testModule = @"
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def ContainsTest(key, collection):
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if key in collection.Keys:
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return True
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return False
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def ContainsKeyTest(key, collection):
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return collection.ContainsKey(key)
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";
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[OneTimeSetUp]
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public void Setup()
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{
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using (Py.GIL())
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{
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var pyModule = PyModule.FromString("module", testModule);
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containsTest = pyModule.GetAttr("ContainsTest");
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containsKeyTest = pyModule.GetAttr("ContainsKeyTest");
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}
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}
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[TestCase("AAPL", false)]
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[TestCase("SPY", true)]
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public void Contains(string key, bool expected)
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{
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using (Py.GIL())
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{
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var dic = new Dictionary<string, object> { { "SPY", new object() } };
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Assert.AreEqual(expected, (bool)containsTest(key, dic));
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}
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}
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[TestCase("AAPL", false)]
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[TestCase("SPY", true)]
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public void ContainsKey(string key, bool expected)
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{
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using (Py.GIL())
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{
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var dic = new Dictionary<string, object> { { "SPY", new object() } };
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Assert.AreEqual(expected, (bool)containsKeyTest(key, dic));
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}
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}
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}
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}
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