/*
 * 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.Collections.Generic;
using NUnit.Framework;
using QuantConnect.Statistics;

namespace QuantConnect.Tests.Python
{
    [TestFixture]
    public class PythonRegressionAlgorithmsTests
    {
        [Test]
        public void SelectUniverseSymbolsFromIDRegressionAlgorithm()
        {
            var parameters = new RegressionTests.AlgorithmStatisticsTestParameters("SelectUniverseSymbolsFromIDRegressionAlgorithm",
                new Dictionary<string, string> { {PerformanceMetrics.TotalOrders, "0"} },
                Language.Python,
                AlgorithmStatus.Completed);

            AlgorithmRunner.RunLocalBacktest(parameters.Algorithm,
                parameters.Statistics,
                parameters.Language,
                parameters.ExpectedFinalStatus);
        }
    }
}