class_docstr: Basic usage and edge-case tests for the measurement optimization utility functions.
class_docstr_tok: ["Basic","usage","and","edge-case","tests","for","the","measurement","optimization","utility","functions","."]
docstr: Tests TypeError raise for when non Pauli-word Pennylane operations/operators are given
  as input to pauli_to_binary.
docstr_tok: ["Tests","TypeError","raise","for","when","non","Pauli-word","Pennylane","operations\/operators","are","given","as","input","to","pauli_to_binary","."]
code: def test_pauli_to_binary_non_pauli_word_catch(self, non_pauli_word):
      """Tests TypeError raise for when non Pauli-word Pennylane operations/operators are given
      as input to pauli_to_binary."""
  
      assert pytest.raises(TypeError, pauli_to_binary, non_pauli_word)
  
imports: import numpy
  import pytest
  import pennylane
  from pennylane import RX, RY, U3, Hadamard, Hamiltonian, Hermitian, Identity, PauliX, PauliY, PauliZ, is_commuting
  from pennylane.operation import Tensor
  from pennylane.pauli import are_identical_pauli_words, are_pauli_words_qwc, binary_to_pauli, diagonalize_pauli_word, diagonalize_qwc_pauli_words, is_pauli_word, is_qwc, observables_to_binary_matrix, partition_pauli_group, pauli_group, pauli_mult, pauli_mult_with_phase, pauli_to_binary, pauli_word_to_matrix, pauli_word_to_string, qwc_complement_adj_matrix, qwc_rotation, simplify, string_to_pauli_word
label_desc: Use image node_id 3 for calling the TestGroupingUtils obj's underlying member method code with example usage: obj.test_pauli_to_binary_non_pauli_word_catch(non_pauli_word) without return types