code: def _(a_range, b_finiteset):
      try:
          a_size = a_range.size
      except ValueError:
          # symbolic Range of unknown size
          return None
      if a_size > len(b_finiteset):
          return False
      elif any(arg.has(Symbol) for arg in a_range.args):
          return fuzzy_and(b_finiteset.contains(x) for x in a_range)
      else:
          # Checking A \ B == EmptySet is more efficient than repeated naive
          # membership checks on an arbitrary FiniteSet.
          a_set = set(a_range)
          b_remaining = len(b_finiteset)
          # Symbolic expressions and numbers of unknown type (integer or not) are
          # all counted as "candidates", i.e. *potentially* matching some a in
          # a_range.
          cnt_candidate = 0
          for b in b_finiteset:
              if b.is_Integer:
                  a_set.discard(b)
              elif fuzzy_not(b.is_integer):
                  pass
              else:
                  cnt_candidate += 1
              b_remaining -= 1
              if len(a_set) > b_remaining + cnt_candidate:
                  return False
              if len(a_set) == 0:
                  return True
          return None
  
imports: from sympy.core.singleton import S
  from sympy.core.symbol import Symbol
  from sympy.core.logic import fuzzy_and, fuzzy_bool, fuzzy_not, fuzzy_or
  from sympy.core.relational import Eq
  from sympy.sets.sets import FiniteSet, Interval, Set, Union, ProductSet
  from sympy.sets.fancysets import Complexes, Reals, Range, Rationals
  from sympy.multipledispatch import Dispatcher
label_desc: Use image node_id 7 for calling a global function with example usage: _(a_range, b_finiteset) and returns: False, None, fuzzy_and, None, False, True