code: def test_rebalance_execution(setup):
      session = setup
  
      raw = np.random.rand(10, 3)
      x = mt.tensor(raw)
  
      r = x.rebalance(num_partitions=3)
      result = r.execute().fetch()
      np.testing.assert_array_equal(result, raw)
      assert (
          len(session._session._tileable_to_fetch[r.data].chunks) == 3
      )
  
      r = x.rebalance(factor=1.5)
      result = r.execute().fetch()
      np.testing.assert_array_equal(result, raw)
  
      r = x.rebalance()
      result = r.execute().fetch()
      np.testing.assert_array_equal(result, raw)
      assert (
          len(session._session._tileable_to_fetch[r.data].chunks) == 2
      )
  
imports: import numpy
  import scipy.sparse
  import pandas
  import pytest
  from ....None import dataframe
  from ....None import tensor
  from ....None import execute, fetch
  from ....tests.core import require_cupy
  from ...datasource import tensor, ones, zeros, arange
  from ..None import copyto, transpose, moveaxis, broadcast_to, broadcast_arrays, where, expand_dims, rollaxis, atleast_1d, atleast_2d, atleast_3d, argwhere, array_split, split, hsplit, vsplit, dsplit, roll, squeeze, diff, ediff1d, flip, flipud, fliplr, repeat, tile, isin, searchsorted, unique, sort, argsort, partition, argpartition, topk, argtopk, trapz, shape, to_gpu, to_cpu, swapaxes
label_desc: Use image node_id 45 for calling a global function with example usage: test_rebalance_execution(setup) without return types