class_docstr: Class MaximalMatches allows to sort and store the maximal matches from the list
  of matches obtained with the pattern matching algorithm.
class_docstr_tok: ["Class","MaximalMatches","allows","to","sort","and","store","the","maximal","matches","from","the","list","of","matches","obtained","with","the","pattern","matching","algorithm","."]
docstr: Initialize MaximalMatches with the necessary arguments.
  Args:
      pattern_matches (list): list of matches obtained from running the algorithm.
code: def __init__(self, pattern_matches):
      """Initialize MaximalMatches with the necessary arguments.
      Args:
          pattern_matches (list): list of matches obtained from running the algorithm.
      """
      self.pattern_matches = pattern_matches
  
      self.max_match_list = []
  
imports: import copy
  import itertools
  from collections import OrderedDict
  from typing import Sequence, Callable
  import numpy
  import pennylane
  from pennylane.transforms import transform
  from pennylane import adjoint
  from pennylane.ops.qubit.attributes import symmetric_over_all_wires
  from pennylane.tape import QuantumTape, QuantumScript
  from pennylane.transforms.commutation_dag import commutation_dag
  from pennylane.wires import Wires
label_desc: Use image node_id 1 to create a new MaximalMatches object  with example: obj = MaximalMatches(pattern_matches)