class_docstr: Test that the device can implement all observables that it supports.
class_docstr_tok: ["Test","that","the","device","can","implement","all","observables","that","it","supports","."]
docstr: Test that the device can implement all its supported observables.
code: def test_supported_observables_can_be_implemented(
      self, device_kwargs, observable
  ):
      """Test that the device can implement all its supported observables."""
      device_kwargs["wires"] = 3
      dev = qml.device(**device_kwargs)
  
      if (
          device_kwargs.get("shots", None) is not None
          and observable == "SparseHamiltonian"
      ):
          pytest.skip(
              "SparseHamiltonian only supported in analytic mode"
          )
  
      assert hasattr(dev, "observables")
      if observable in dev.observables:
          kwargs = (
              {"diff_method": "parameter-shift"}
              if observable == "SparseHamiltonian"
              else {}
          )
  
          @qml.qnode(dev, **kwargs)
          def circuit(obs_circ):
              if dev.supports_operation(
                  qml.PauliX
              ):  # ionq can't have empty circuits
                  qml.PauliX(0)
              return qml.expval(obs_circ)
  
          if observable == "Projector":
              for o in obs[observable]:
                  assert isinstance(circuit(o), (float, np.ndarray))
          else:
              assert isinstance(
                  circuit(obs[observable]), (float, np.ndarray)
              )
  
imports: import pytest
  from flaky import flaky
  from scipy.sparse import csr_matrix
  import pennylane
  from pennylane import numpy
  from pennylane.measurements import ClassicalShadowMP, MeasurementTransform, SampleMeasurement, SampleMP, StateMeasurement, StateMP
label_desc: Use image node_id 1 for calling the TestSupportedObservables obj's underlying member method code with example usage: obj.test_supported_observables_can_be_implemented(device_kwargs, observable) and returns: qml