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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using System;
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using Python.Runtime;
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namespace QuantConnect.Benchmarks
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{
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/// <summary>
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/// Creates a benchmark defined by a function
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/// </summary>
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public class FuncBenchmark : IBenchmark
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{
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private readonly Func<DateTime, decimal> _benchmark;
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/// <summary>
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/// Initializes a new instance of the <see cref="FuncBenchmark"/> class
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/// </summary>
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/// <param name="benchmark">The functional benchmark implementation</param>
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public FuncBenchmark(Func<DateTime, decimal> benchmark)
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{
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if (benchmark == null)
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{
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throw new ArgumentNullException(nameof(benchmark));
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}
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_benchmark = benchmark;
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}
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/// <summary>
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/// Create a function benchmark from a Python function
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/// </summary>
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/// <param name="pyFunc"></param>
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public FuncBenchmark(PyObject pyFunc)
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{
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if (!pyFunc.TrySafeAs(out _benchmark))
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{
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throw new ArgumentException($"FuncBenchmark(): {Messages.FuncBenchmark.UnableToConvertPythonFunctionToBenchmarkFunction}");
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}
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}
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/// <summary>
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/// Evaluates this benchmark at the specified time
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/// </summary>
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/// <param name="time">The time to evaluate the benchmark at</param>
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/// <returns>The value of the benchmark at the specified time</returns>
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public decimal Evaluate(DateTime time)
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{
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return _benchmark(time);
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}
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}
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}
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