class_docstr: Market data dictionary representation.
docstr: List of supported currencies.
docstr_tok: ["List","of","supported","currencies","."]
code: def supported_currencies(self) -> List[str]:
      """List of supported currencies."""
      return [
          key
          for key in self._market_data_dict["rates"].keys()
          if key in currencies.Currency.__members__
      ]
  
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 9 for calling the MarketDataDict obj's underlying member method code with example usage: obj.supported_currencies() and returns: unknown