text: """
  Copyright 2019 Goldman Sachs.
  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 gs_quant.markets.securities import AssetIdentifier, SecurityMaster
  from gs_quant.risk.scenarios import MarketDataVolShockScenario
  from gs_quant.data import Dataset
  from datetime import datetime, timedelta, date
  
  
  def build_eq_vol_scenario_intraday(asset_name: str, source_dataset: str, ref_spot: float = None,
                                     asset_name_type: AssetIdentifier = AssetIdentifier.REUTERS_ID,
                                     start_time: datetime = datetime.now() - timedelta(hours=1),
                                     end_time: datetime = datetime.now()) -> MarketDataVolShockScenario:
  
      asset = SecurityMaster.get_asset(asset_name, asset_name_type)
      vol_dataset = Dataset(source_dataset)
      vol_data = vol_dataset.get_data(
          assetId=[asset.get_marquee_id()],
          strikeReference='forward',
          startTime=start_time,
          endTime=end_time
      )
      asset_ric = asset.get_identifier(AssetIdentifier.REUTERS_ID)
      return MarketDataVolShockScenario.from_dataframe(asset_ric, vol_data, ref_spot)
  
  
  def build_eq_vol_scenario_eod(asset_name: str, source_dataset: str, ref_spot: float = None,
                                asset_name_type: AssetIdentifier = AssetIdentifier.REUTERS_ID,
                                vol_date: date = date.today()) -> MarketDataVolShockScenario:
  
      asset = SecurityMaster.get_asset(asset_name, asset_name_type)
      vol_dataset = Dataset(source_dataset)
      vol_data = vol_dataset.get_data(
          assetId=[asset.get_marquee_id()],
          strikeReference='forward',
          startDate=vol_date,
          endDate=vol_date
      )
      asset_ric = asset.get_identifier(AssetIdentifier.REUTERS_ID)
      return MarketDataVolShockScenario.from_dataframe(asset_ric, vol_data, ref_spot)
  