code: def _generator_hamiltonian(gen, op):
      """Return the generator as type :class:`~.Hamiltonian`."""
      wires = op.wires
  
      if isinstance(gen, qml.Hamiltonian):
          H = gen
  
      elif isinstance(gen, (qml.Hermitian, qml.SparseHamiltonian)):
          if isinstance(gen, qml.Hermitian):
              mat = gen.parameters[0]
  
          elif isinstance(gen, qml.SparseHamiltonian):
              mat = gen.parameters[0].toarray()
  
          H = qml.pauli_decompose(
              mat, wire_order=wires, hide_identity=True
          )
  
      elif isinstance(gen, qml.operation.Observable):
          H = 1.0 * gen
  
      return H
  
file_path: pennylane/pennylane/ops/functions/generator.py
imports: import inspect
  import warnings
  import numpy
  import pennylane
  from pennylane.ops import Hamiltonian, SProd, Prod, Sum
label_desc: Use image node_id 1 for calling a global function with example usage: _generator_hamiltonian(gen, op) and returns: H