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 that pauli_to_binary runs well when pauli words are provided and
  check_is_pauli_word is False.
docstr_tok: ["Tests","that","pauli_to_binary","runs","well","when","pauli","words","are","provided","and","check_is_pauli_word","is","False","."]
code: def test_pauli_to_binary_no_check(self, pauli_word, binary_pauli):
      """Tests that pauli_to_binary runs well when pauli words are provided and
      check_is_pauli_word is False."""
  
      assert (
          pauli_to_binary(pauli_word, check_is_pauli_word=False)
          == binary_pauli
      ).all()
  
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 5 for calling the TestGroupingUtils obj's underlying member method code with example usage: obj.test_pauli_to_binary_no_check(pauli_word, binary_pauli) without return types