chore: import upstream snapshot with attribution

This commit is contained in:
wehub-resource-sync
2026-07-13 13:02:50 +08:00
commit 0fc60fdcb1
5008 changed files with 910633 additions and 0 deletions
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/*
* 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 Python.Runtime;
using QuantConnect.Data;
using QuantConnect.Python;
using QuantConnect.Securities.Interfaces;
namespace QuantConnect.Securities
{
/// <summary>
/// Python Wrapper for custom security data filters from Python
/// </summary>
public class SecurityDataFilterPythonWrapper : BasePythonWrapper<ISecurityDataFilter>, ISecurityDataFilter
{
/// <summary>
/// Creates a new instance
/// </summary>
/// <param name="dataFilter">The Python class to wrapp</param>
public SecurityDataFilterPythonWrapper(PyObject dataFilter)
: base(dataFilter)
{
}
/// <summary>
/// Performs Filter method from Python instance returning true to accept, or false to fail/reject the data point.
/// </summary>
/// <param name="data">BasData data object we're filtering</param>
/// <param name="vehicle">Security vehicle for filter</param>
public bool Filter(Security vehicle, BaseData data)
{
return InvokeMethod<bool>(nameof(Filter), vehicle, data);
}
}
}