# 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 *### <summary>### Regression algorithm testing history requests for <see cref="OptionUniverse"/> type work as expected### and return the same data as the option chain provider.### </summary>class OptionUniverseHistoryRegressionAlgorithm(QCAlgorithm):def initialize(self):self.set_start_date(2015, 12, 25)self.set_end_date(2015, 12, 25)option = self.add_option("GOOG").symbolhistorical_options_data_df = self.history(option, 3, flatten=True)# Level 0 of the multi-index is the date, we expect 3 dates, 3 option chainsif historical_options_data_df.index.levshape[0] != 3:raise AssertionError(f"Expected 3 option chains from history request, but got {historical_options_data_df.index.levshape[1]}")for date in historical_options_data_df.index.levels[0]:expected_chain = list(self.option_chain_provider.get_option_contract_list(option, date))expected_chain_count = len(expected_chain)actual_chain = historical_options_data_df.loc[date]actual_chain_count = len(actual_chain)if expected_chain_count != actual_chain_count:raise AssertionError(f"Expected {expected_chain_count} options in chain on {date}, but got {actual_chain_count}")for i, symbol in enumerate(actual_chain.index):expected_symbol = expected_chain[i]if symbol != expected_symbol:raise AssertionError(f"Expected symbol {expected_symbol} at index {i} on {date}, but got {symbol}")
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