class_docstr: Test that stoch_pulse_grad integrates correctly with QNodes and ML interfaces.
class_docstr_tok: ["Test","that","stoch_pulse_grad","integrates","correctly","with","QNodes","and","ML","interfaces","."]
docstr: Test that a HardwareHamiltonian only containing two drives
  is differentiated approximately correctly. The two cases
  of the parametrization test the cases where reordered parameters
  are returned as inner lists and where they remain scalars.
docstr_tok: ["Test","that","a","HardwareHamiltonian","only","containing","two","drives","is","differentiated","approximately","correctly",".","The","two","cases","of","the","parametrization","test","the","cases","where","reordered","parameters","are","returned","as","inner","lists","and","where","they","remain","scalars","."]
code: def test_with_two_drives(self, dev_name, num_params):
      """Test that a HardwareHamiltonian only containing two drives
      is differentiated approximately correctly. The two cases
      of the parametrization test the cases where reordered parameters
      are returned as inner lists and where they remain scalars."""
      import jax
  
      timespan = 0.1
  
      if num_params == 1:
          amps = [1 / 5, 1 / 6]
          params = (0.42, -0.91)
      else:
          amps = [qml.pulse.constant] * 2
          params = (1 / (2 * np.pi), 0.42, 1 / 5, -0.91)
      H = qml.pulse.rydberg_drive(
          amps[0], qml.pulse.constant, 0.0, wires=[0]
      ) + qml.pulse.rydberg_drive(
          amps[1], qml.pulse.constant, 0.0, wires=[1]
      )
      atol = 1e-5
      dev = qml.device(dev_name, wires=2)
  
      def ansatz(params):
          qml.evolve(H, atol=atol)(params, t=timespan)
          return qml.expval(qml.PauliX(0) @ qml.PauliX(1))
  
      cost = qml.QNode(
          ansatz,
          dev,
          interface="jax",
          diff_method=qml.gradients.stoch_pulse_grad,
          num_split_times=7,
          use_broadcasting=True,
          sampler_seed=4123,
      )
      cost_jax = qml.QNode(ansatz, dev, interface="jax")
  
      gradfn = jax.grad(cost)
      res = gradfn(params)
      exact = jax.grad(cost_jax)(params)
      assert qml.math.allclose(res, exact, atol=1e-3)
      jax.clear_caches()
  
imports: import warnings
  import copy
  import pytest
  import numpy
  import pennylane
  from pennylane.gradients.general_shift_rules import eigvals_to_frequencies, generate_shift_rule
  from pennylane.gradients.pulse_gradient import _parshift_and_integrate, _split_evol_ops, _split_evol_tape, stoch_pulse_grad
label_desc: Use image node_id 12 for calling the TestStochPulseGradIntegration obj's underlying member method code with example usage: obj.test_with_two_drives(dev_name, num_params) and returns: qml