class_docstr: Represents a batch of cashflows indexed to a floating rate.
class_docstr_tok: ["Represents","a","batch","of","cashflows","indexed","to","a","floating","rate","."]
code: def discount_curve_type(self) -> _CurveType:
      return self._discount_curve_type
  
imports: from typing import Optional, Tuple, Callable, Any, List, Union
  import numpy
  import tensorflow.compat.v2
  from tf_quant_finance import datetime
  from tf_quant_finance.experimental.pricing_platform.framework.core import curve_types
  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 utils
  from tf_quant_finance.experimental.pricing_platform.framework.rate_instruments import coupon_specs
  from tf_quant_finance.experimental.pricing_platform.instrument_protos import period_pb2
  from tf_quant_finance.math import pad
label_desc: Use image node_id 4 for calling the FloatingCashflowStream obj's underlying member method code with example usage: obj.discount_curve_type() and returns: self