chore: import upstream snapshot with attribution
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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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from AlgorithmImports import *
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class Test_MethodOverload(QCAlgorithm):
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def initialize(self):
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self.add_equity("SPY", Resolution.SECOND)
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self.sma = self.sma('SPY', 20)
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self.std = self.std('SPY', 20)
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self.a = A()
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def on_data(self, data):
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pass
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def call_plot_std_test(self):
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self.plot('STD', self.std)
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def call_plot_sma_test(self):
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self.plot('SMA', self.sma)
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def call_plot_number_test(self):
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self.plot('NUMBER', 0.1)
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def call_plot_throw_test(self):
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self.plot("ERROR", self.name)
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def call_plot_throw_managed_test(self):
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self.plot("ERROR", self.portfolio)
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def call_plot_throw_pyobject_test(self):
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self.plot("ERROR", self.a)
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def no_method_match(self):
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self.log(1)
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class A(object):
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def __init__(self):
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pass
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