class_docstr: Market data dictionary representation.
code: def date(self) -> datetime.date:
      return self._valuation_date
  
imports: import datetime
  from typing import Dict, Any, List, Optional, Tuple
  import tensorflow.compat.v2
  from tf_quant_finance import datetime
  from tf_quant_finance import math
  from tf_quant_finance.experimental.pricing_platform.framework.core import currencies
  from tf_quant_finance.experimental.pricing_platform.framework.core import curve_types
  from tf_quant_finance.experimental.pricing_platform.framework.core import daycount_conventions
  from tf_quant_finance.experimental.pricing_platform.framework.core import processed_market_data
  from tf_quant_finance.experimental.pricing_platform.framework.core import types
  from tf_quant_finance.experimental.pricing_platform.framework.market_data import rate_curve
  from tf_quant_finance.experimental.pricing_platform.framework.market_data import volatility_surface
label_desc: Use image node_id 2 for calling the MarketDataDict obj's underlying member method code with example usage: obj.date() and returns: self