code: def test_cap_many(self, dtype):
      notional = 100.0
      batch_maturity_date = dates.convert_to_date_tensor(
          [(2022, 1, 15), (2022, 1, 15)]
      )
      batch_start_date = dates.convert_to_date_tensor(
          [(2021, 1, 15), (2021, 1, 15)]
      )
      batch_valuation_date = dates.convert_to_date_tensor(
          [(2021, 1, 1)]
      )
  
      period3m = dates.periods.months(3)
      cap = instruments.CapAndFloor(
          batch_start_date,
          batch_maturity_date,
          period3m,
          [0.005, 0.01],
          daycount_convention=instruments.DayCountConvention.ACTUAL_365,
          notional=notional,
          dtype=dtype,
      )
      price = self.evaluate(
          cap.price(
              batch_valuation_date,
              self.get_market(),
              model=instruments.InterestRateModelType.LOGNORMAL_RATE,
              pricing_context=0.5,
          )
      )
      np_testing.assert_allclose(
          price, [1.0474063612452953, 0.5656630014452084], atol=1e-6
      )
  
file_path: tf-quant-finance/tf_quant_finance/experimental/instruments/cap_floor_test.py
imports: from absl.testing import parameterized
  import numpy
  from numpy import testing
  import tensorflow.compat.v2
  import tf_quant_finance
  from tensorflow.python.framework import test_util
label_desc: Use image node_id 5 for calling the CapFloorTest obj's underlying member method code with example usage: obj.test_cap_many(dtype) without return types