code: def _bind_new_parameters_parametrized_evol(
      op: ParametrizedEvolution, params: Sequence[TensorLike]
  ):
      return ParametrizedEvolution(
          op.H,
          params=params,
          t=op.t,
          return_intermediate=op.hyperparameters["return_intermediate"],
          complementary=op.hyperparameters["complementary"],
          dense=op.dense,
          **op.odeint_kwargs,
      )
  
imports: from typing import List, Union, Sequence
  import warnings
  import pennylane
  from pennylane.operation import AnyWires, Operation
  from pennylane.typing import TensorLike
  from pennylane.ops import functions
  from .parametrized_hamiltonian import ParametrizedHamiltonian
  from .hardware_hamiltonian import HardwareHamiltonian
label_desc: Use image node_id 1 for calling a global function with example usage: _bind_new_parameters_parametrized_evol(op, params) and returns: ParametrizedEvolution