Lean
$LEAN_TAG$
SecurityDataFilterPythonWrapper.cs
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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
Python
.Runtime;
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using
QuantConnect
.
Data
;
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using
QuantConnect
.
Python
;
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using
QuantConnect
.
Securities
.
Interfaces
;
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namespace
QuantConnect.Securities
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{
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/// <summary>
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/// Python Wrapper for custom security data filters from Python
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/// </summary>
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public
class
SecurityDataFilterPythonWrapper
:
BasePythonWrapper
<ISecurityDataFilter>,
ISecurityDataFilter
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{
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/// <summary>
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/// Creates a new instance
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/// </summary>
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/// <param name="dataFilter">The Python class to wrapp</param>
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public
SecurityDataFilterPythonWrapper
(PyObject dataFilter)
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: base(dataFilter)
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{
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}
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/// <summary>
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/// Performs Filter method from Python instance returning true to accept, or false to fail/reject the data point.
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/// </summary>
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/// <param name="data">BasData data object we're filtering</param>
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/// <param name="vehicle">Security vehicle for filter</param>
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public
bool
Filter
(
Security
vehicle,
BaseData
data)
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{
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return
InvokeMethod<bool>(nameof(
Filter
), vehicle, data);
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}
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}
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}
Common
Securities
SecurityDataFilterPythonWrapper.cs
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