code: def canonicalize_naive(g, dummies, sym, *v):
      """
      Canonicalize tensor formed by tensors of the different types.
  
      Explanation
      ===========
  
      sym_i symmetry under exchange of two component tensors of type `i`
            None  no symmetry
            0     commuting
            1     anticommuting
  
      Parameters
      ==========
  
      g : Permutation representing the tensor.
      dummies : List of dummy indices.
      msym : Symmetry of the metric.
      v : A list of (base_i, gens_i, n_i, sym_i) for tensors of type `i`.
          base_i, gens_i BSGS for tensors of this type
          n_i  number of tensors of type `i`
  
      Returns
      =======
  
      Returns 0 if the tensor is zero, else returns the array form of
      the permutation representing the canonical form of the tensor.
  
      Examples
      ========
  
      >>> from sympy.combinatorics.testutil import canonicalize_naive
      >>> from sympy.combinatorics.tensor_can import get_symmetric_group_sgs
      >>> from sympy.combinatorics import Permutation
      >>> g = Permutation([1, 3, 2, 0, 4, 5])
      >>> base2, gens2 = get_symmetric_group_sgs(2)
      >>> canonicalize_naive(g, [2, 3], 0, (base2, gens2, 2, 0))
      [0, 2, 1, 3, 4, 5]
      """
      from sympy.combinatorics.perm_groups import PermutationGroup
      from sympy.combinatorics.tensor_can import (
          gens_products,
          dummy_sgs,
      )
      from sympy.combinatorics.permutations import _af_rmul
  
      v1 = []
      for i in range(len(v)):
          base_i, gens_i, n_i, sym_i = v[i]
          v1.append((base_i, gens_i, [[]] * n_i, sym_i))
      size, sbase, sgens = gens_products(*v1)
      dgens = dummy_sgs(dummies, sym, size - 2)
      if isinstance(sym, int):
          num_types = 1
          dummies = [dummies]
          sym = [sym]
      else:
          num_types = len(sym)
      dgens = []
      for i in range(num_types):
          dgens.extend(dummy_sgs(dummies[i], sym[i], size - 2))
      S = PermutationGroup(sgens)
      D = PermutationGroup([Permutation(x) for x in dgens])
      dlist = list(D.generate(af=True))
      g = g.array_form
      st = set()
      for s in S.generate(af=True):
          h = _af_rmul(g, s)
          for d in dlist:
              q = tuple(_af_rmul(d, h))
              st.add(q)
      a = list(st)
      a.sort()
      prev = (0,) * size
      for h in a:
          if h[:-2] == prev[:-2]:
              if h[-1] != prev[-1]:
                  return 0
          prev = h
      return list(a[0])
  
file_path: sympy/sympy/combinatorics/testutil.py
imports: from sympy.combinatorics import Permutation
  from sympy.combinatorics.util import _distribute_gens_by_base
label_desc: Use image node_id 6 for calling a global function with example usage: canonicalize_naive(g, dummies, sym) and returns: list, int