code: def _min_dummies(dummies, sym, indices):
      """
      Return list of minima of the orbits of indices in group of dummies.
      See ``double_coset_can_rep`` for the description of ``dummies`` and ``sym``.
      ``indices`` is the initial list of dummy indices.
  
      Examples
      ========
  
      >>> from sympy.combinatorics.tensor_can import _min_dummies
      >>> _min_dummies([list(range(2, 8))], [0], list(range(10)))
      [0, 1, 2, 2, 2, 2, 2, 2, 8, 9]
      """
      num_types = len(sym)
      m = [min(dx) if dx else None for dx in dummies]
      res = indices[:]
      for i in range(num_types):
          for c, i in enumerate(indices):
              for j in range(num_types):
                  if i in dummies[j]:
                      res[c] = m[j]
                      break
      return res
  
imports: from sympy.combinatorics.permutations import Permutation, _af_rmul, _af_invert, _af_new
  from sympy.combinatorics.perm_groups import PermutationGroup, _orbit, _orbit_transversal
  from sympy.combinatorics.util import _distribute_gens_by_base, _orbits_transversals_from_bsgs
label_desc: Use image node_id 2 for calling a global function with example usage: _min_dummies(dummies, sym, indices) and returns: res