class_docstr: Dictionary representing a linear combination of Pauli words, with the keys
  as :class:`~pennylane.pauli.PauliWord` instances and the values correspond to coefficients.
  
  .. note::
  
      An empty :class:`~.PauliSentence` will be treated as the additive
      identity (i.e 0 * Identity on all wires).
  
  **Examples**
  
  >>> ps = PauliSentence({
          PauliWord({0:'X', 1:'Y'}): 1.23,
          PauliWord({2:'Z', 0:'Y'}): -0.45j
      })
  >>> ps
  1.23 * X(0) @ Y(1)
  + (-0-0.45j) * Z(2) @ Y(0)
  
  Combining Pauli words automatically results in Pauli sentences that can be used to construct more complicated operators.
  
  >>> w1 = PauliWord({0:"X", 1:"Y"})
  >>> w2 = PauliWord({1:"X", 2:"Z"})
  >>> ps = 0.5 * w1 - 1.5 * w2 + 2
  >>> ps + PauliWord({3:"Z"}) - 1
  0.5 * X(0) @ Y(1)
  + -1.5 * X(1) @ Z(2)
  + 1 * I
  + 1.0 * Z(3)
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docstr: Returns a native PennyLane :class:`~pennylane.Hamiltonian` representing the PauliSentence.
docstr_tok: ["Returns","a","native","PennyLane",":","class",":","`","~pennylane.Hamiltonian","`","representing","the","PauliSentence","."]
code: def hamiltonian(self, wire_order=None):
      """Returns a native PennyLane :class:`~pennylane.Hamiltonian` representing the PauliSentence."""
      if len(self) == 0:
          if wire_order in (None, [], Wires([])):
              raise ValueError(
                  "Can't get the Hamiltonian for an empty PauliSentence."
              )
          return Hamiltonian([], [])
  
      wire_order = wire_order or self.wires
      wire_order = list(wire_order)
  
      return Hamiltonian(
          list(self.values()),
          [
              pw.operation(wire_order=wire_order, get_as_tensor=True)
              for pw in self
          ],
      )
  
imports: import warnings
  from copy import copy
  from functools import reduce, lru_cache
  from typing import Iterable
  import numpy
  from scipy import sparse
  import pennylane
  from pennylane import math
  from pennylane.typing import TensorLike
  from pennylane.wires import Wires
  from pennylane.operation import Tensor
  from pennylane.ops import Hamiltonian, Identity, PauliX, PauliY, PauliZ, prod, s_prod
label_desc: Use image node_id 21 for calling the PauliSentence obj's underlying member method code with example usage: obj.hamiltonian(wire_order) and returns: Hamiltonian, Hamiltonian