class_docstr: Market data dictionary representation.
docstr: List of supported assets.
docstr_tok: ["List","of","supported","assets","."]
code: def supported_assets(self, currency: str) -> List[str]:
      """List of supported assets."""
      market_keys = self._market_data_dict["equities"][currency].keys()
      return [
          k for k in market_keys if k not in self.supported_currencies
      ]
  
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 10 for calling the MarketDataDict obj's underlying member method code with example usage: obj.supported_assets(currency) and returns: unknown