code: def test_slices():
      md = MutableDenseNDimArray(range(10, 34), (2, 3, 4))
  
      assert md[:] == MutableDenseNDimArray(range(10, 34), (2, 3, 4))
      assert md[:, :, 0].tomatrix() == Matrix(
          [[10, 14, 18], [22, 26, 30]]
      )
      assert md[0, 1:2, :].tomatrix() == Matrix([[14, 15, 16, 17]])
      assert md[0, 1:3, :].tomatrix() == Matrix(
          [[14, 15, 16, 17], [18, 19, 20, 21]]
      )
      assert md[:, :, :] == md
  
      sd = MutableSparseNDimArray(range(10, 34), (2, 3, 4))
      assert sd == MutableSparseNDimArray(md)
  
      assert sd[:] == MutableSparseNDimArray(range(10, 34), (2, 3, 4))
      assert sd[:, :, 0].tomatrix() == Matrix(
          [[10, 14, 18], [22, 26, 30]]
      )
      assert sd[0, 1:2, :].tomatrix() == Matrix([[14, 15, 16, 17]])
      assert sd[0, 1:3, :].tomatrix() == Matrix(
          [[14, 15, 16, 17], [18, 19, 20, 21]]
      )
      assert sd[:, :, :] == sd
  
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 13 for calling a global function with example usage: test_slices() without return types