code: def test_slice_intersection():
      iteration = 300
      max_value = 100
  
      for _ in range(iteration):
          a_start = random.randint(0, max_value - 1)
          b_start = random.randint(0, max_value - 1)
          a_stop = random.randint(a_start + 1, max_value)
          b_stop = random.randint(b_start + 1, max_value)
          a_step = random.randint(1, max_value // 3)
          b_step = random.randint(1, max_value // 3)
          a = slice(a_start, a_stop, a_step)
          b = slice(b_start, b_stop, b_step)
  
          def all_indices(
              s0: slice, s1: slice = slice(None)
          ) -> set[int]:
              """Return all indices for the elements of array[s0][s1]."""
              all_indices = list(range(max_value))
              return set(all_indices[s0][s1])
  
          c = _index_arith._slice_intersection(a, b, max_value)
          if c is None:
              assert not (all_indices(a) & all_indices(b))
          else:
              assert all_indices(c) == all_indices(a) & all_indices(b)
              p = _index_arith._index_for_subslice(a, c, max_value)
              assert all_indices(c) == all_indices(a, p)
  
imports: import random
  import math
  from cupyx.distributed.array import _index_arith
label_desc: Use image node_id 2 for calling a global function with example usage: test_slice_intersection() and returns: set