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.
from AlgorithmImports import *
class Test_PythonExceptionInterpreter(QCAlgorithm):
def initialize(self):
pass
def key_error(self):
x = dict()['SPY']
def no_method_match(self):
self.set_cash('SPY')
def no_method_match_rsi(self):
symbol = Symbol.create('SPY', SecurityType.EQUITY, Market.USA)
# The third positional argument should be a MovingAverageType, not a Resolution,
# so no RSI overload matches the given arguments.
self._indicator = self.rsi(symbol, 15, Resolution.DAILY)
def unsupported_operand(self):
x = None + "Pepe Grillo"
def zero_division_error(self):
x = 1 / 0
def dotnet_error(self):
self.market_order(None, 1);