code: def test_multivariate_normal():
      mean = [0, 0]
      cov = [[1, 0], [0, 100]]
  
      t = multivariate_normal(mean, cov, 5000, chunk_size=500)
      assert t.shape == (5000, 2)
      assert t.op.size == (5000,)
  
      t = tile(t)
      assert t.nsplits == ((500,) * 10, (2,))
      assert len(t.chunks) == 10
      c = t.chunks[0]
      assert c.shape == (500, 2)
      assert c.op.size == (500,)
  
file_path: mars/mars/tensor/random/tests/test_random.py
imports: import numpy
  import pytest
  from ....core import tile
  from ....serialization import serialize, deserialize
  from ....serialization.serializables import Serializable
  from ...datasource import tensor
  from ..None import beta, rand, choice, multivariate_normal, randint, randn, permutation, TensorPermutation, shuffle, RandomState
  from ..core import RandomStateField
label_desc: Use image node_id 5 for calling a global function with example usage: test_multivariate_normal() without return types