class_docstr: Test that the measure_with_samples function works as expected for
  Hamiltonian and Sum observables
class_docstr_tok: ["Test","that","the","measure_with_samples","function","works","as","expected","for","Hamiltonian","and","Sum","observables"]
docstr: Test that sampling works for complex Hamiltonians
docstr_tok: ["Test","that","sampling","works","for","complex","Hamiltonians"]
code: def test_complex_hamiltonian(self):
      """Test that sampling works for complex Hamiltonians"""
      scale = 0.05
      offset = 0.4
  
      ops = [qml.RX(offset + scale * i, wires=i) for i in range(4)]
  
      # taken from qml.data
      H = qml.Hamiltonian(
          [
              -0.3796867241618816,
              0.1265398827193729,
              0.1265398827193729,
              0.15229282586796247,
              0.05080559325437572,
              -0.05080559325437572,
              -0.05080559325437572,
              0.05080559325437572,
              -0.10485523662149618,
              0.10102818539518765,
              -0.10485523662149615,
              0.15183377864956338,
              0.15183377864956338,
              0.10102818539518765,
              0.1593698831813122,
          ],
          [
              qml.Identity(wires=[0]),
              qml.PauliZ(wires=[0]),
              qml.PauliZ(wires=[1]),
              qml.PauliZ(wires=[0]) @ qml.PauliZ(wires=[1]),
              qml.PauliY(wires=[0])
              @ qml.PauliX(wires=[1])
              @ qml.PauliX(wires=[2])
              @ qml.PauliY(wires=[3]),
              qml.PauliY(wires=[0])
              @ qml.PauliY(wires=[1])
              @ qml.PauliX(wires=[2])
              @ qml.PauliX(wires=[3]),
              qml.PauliX(wires=[0])
              @ qml.PauliX(wires=[1])
              @ qml.PauliY(wires=[2])
              @ qml.PauliY(wires=[3]),
              qml.PauliX(wires=[0])
              @ qml.PauliY(wires=[1])
              @ qml.PauliY(wires=[2])
              @ qml.PauliX(wires=[3]),
              qml.PauliZ(wires=[2]),
              qml.PauliZ(wires=[0]) @ qml.PauliZ(wires=[2]),
              qml.PauliZ(wires=[3]),
              qml.PauliZ(wires=[0]) @ qml.PauliZ(wires=[3]),
              qml.PauliZ(wires=[1]) @ qml.PauliZ(wires=[2]),
              qml.PauliZ(wires=[1]) @ qml.PauliZ(wires=[3]),
              qml.PauliZ(wires=[2]) @ qml.PauliZ(wires=[3]),
          ],
      )
  
      qs = qml.tape.QuantumScript(ops, [qml.expval(H)], shots=100000)
      res = simulate(qs, rng=100)
  
      qs_exp = qml.tape.QuantumScript(ops, [qml.expval(H)])
      expected = simulate(qs_exp)
  
      assert np.allclose(res, expected, atol=0.001)
  
imports: from random import shuffle
  import pytest
  import numpy
  import pennylane
  from pennylane.devices.qubit import simulate
  from pennylane.devices.qubit.simulate import _FlexShots
  from pennylane.devices.qubit import sample_state, measure_with_samples
  from pennylane.devices.qubit.sampling import _sample_state_jax
  from pennylane.measurements import Shots
label_desc: Use image node_id 6 for calling the TestHamiltonianSamples obj's underlying member method code with example usage: obj.test_complex_hamiltonian() without return types