class_docstr: Tests the pauli_decompose function
docstr: Tests that tensors are composed of a number of terms equal to the number
  of qubits.
docstr_tok: ["Tests","that","tensors","are","composed","of","a","number","of","terms","equal","to","the","number","of","qubits","."]
code: def test_result_length(self, hamiltonian):
      """Tests that tensors are composed of a number of terms equal to the number
      of qubits."""
      _, decomposed_obs = qml.pauli_decompose(hamiltonian).terms()
      n = int(np.log2(len(hamiltonian)))
  
      tensors = filter(
          lambda obs: isinstance(obs, Tensor), decomposed_obs
      )
      assert all(len(tensor.obs) == n for tensor in tensors)
  
imports: import pytest
  import numpy
  import pennylane
  from pennylane.operation import Tensor
  from pennylane.ops import Identity, PauliX, PauliY, PauliZ
  from pennylane.pauli import pauli_sentence, PauliWord, PauliSentence
  from pennylane.pauli.conversion import _generalized_pauli_decompose
label_desc: Use image node_id 6 for calling the TestDecomposition obj's underlying member method code with example usage: obj.test_result_length(hamiltonian) without return types