class_docstr: Test initialization and repr for jacobian product calculator classes.
class_docstr_tok: ["Test","initialization","and","repr","for","jacobian","product","calculator","classes","."]
docstr: Test the initialization and basic properties of a TransformJacobianProduct class.
docstr_tok: ["Test","the","initialization","and","basic","properties","of","a","TransformJacobianProduct","class","."]
code: def test_transform_jacobian_product_basics(self):
      """Test the initialization and basic properties of a TransformJacobianProduct class."""
      jpc = TransformJacobianProducts(
          inner_execute_numpy,
          qml.gradients.hadamard_grad,
          {"aux_wire": "aux"},
      )
  
      assert isinstance(jpc, JacobianProductCalculator)
      assert jpc._inner_execute is inner_execute_numpy
      assert jpc._gradient_transform is qml.gradients.hadamard_grad
      assert jpc._gradient_kwargs == {"aux_wire": "aux"}
  
      expected_repr = (
          f"TransformJacobianProducts({repr(inner_execute_numpy)}, "
          "gradient_transform=<transform: hadamard_grad>, "
          "gradient_kwargs={'aux_wire': 'aux'}, cache_full_jacobian=False)"
      )
      assert repr(jpc) == expected_repr
  
imports: import pytest
  from cachetools import LRUCache
  from param_shift_dev import ParamShiftDerivativesDevice
  import numpy
  import pennylane
  from pennylane.workflow.jacobian_products import JacobianProductCalculator, TransformJacobianProducts, DeviceDerivatives, DeviceJacobianProducts, LightningVJPs
label_desc: Use image node_id 1 for calling the TestBasics obj's underlying member method code with example usage: obj.test_transform_jacobian_product_basics() without return types