code: def test_slices_assign():
      a = MutableDenseNDimArray(range(12), shape=(4, 3))
      b = MutableSparseNDimArray(range(12), shape=(4, 3))
  
      for i in [a, b]:
          assert i.tolist() == [
              [0, 1, 2],
              [3, 4, 5],
              [6, 7, 8],
              [9, 10, 11],
          ]
          i[0, :] = [2, 2, 2]
          assert i.tolist() == [
              [2, 2, 2],
              [3, 4, 5],
              [6, 7, 8],
              [9, 10, 11],
          ]
          i[0, 1:] = [8, 8]
          assert i.tolist() == [
              [2, 8, 8],
              [3, 4, 5],
              [6, 7, 8],
              [9, 10, 11],
          ]
          i[1:3, 1] = [20, 44]
          assert i.tolist() == [
              [2, 8, 8],
              [3, 20, 5],
              [6, 44, 8],
              [9, 10, 11],
          ]
  
imports: from copy import copy
  from sympy.tensor.array.dense_ndim_array import MutableDenseNDimArray
  from sympy.core.function import diff
  from sympy.core.numbers import Rational
  from sympy.core.singleton import S
  from sympy.core.symbol import Symbol
  from sympy.core.sympify import sympify
  from sympy.matrices import SparseMatrix
  from sympy.matrices import Matrix
  from sympy.tensor.array.sparse_ndim_array import MutableSparseNDimArray
  from sympy.testing.pytest import raises
label_desc: Use image node_id 14 for calling a global function with example usage: test_slices_assign() without return types