code: def test_sparse_floor_divide():
      s1 = SparseNDArray(s1_data)
      s2 = SparseNDArray(s2_data)
  
      assert_array_equal(s1 // s2, s1.toarray() // s2.toarray())
      assert_array_equal(s1 // d1, s1.toarray() // d1)
      assert_array_equal(d1 // s1, d1 // s1.toarray())
      assert_array_equal(s1 // 2, s1.toarray() // 2)
      assert_array_equal(2 // s1, 2 // s1.toarray())
  
      # test sparse vector
      v = SparseNDArray(v1, shape=(3,))
      assert_array_equal(v // v, v1_data // v1_data)
      assert_array_equal(v // d1, v1_data // d1)
      assert_array_equal(d1 // v, d1 // v1_data)
      r = sps.csr_matrix(
          ((v1.data // 1), v1.indices, v1.indptr), v1.shape
      )
      assert_array_equal(v // 1, r.toarray().reshape(3))
      r = sps.csr_matrix(
          ((1 // v1.data), v1.indices, v1.indptr), v1.shape
      )
      assert_array_equal(1 // v, r.toarray().reshape(3))
  
imports: import pickle
  import numpy
  import pytest
  import scipy.sparse
  from ...None import sparse
  from ..None import SparseNDArray, SparseVector, SparseMatrix
  from ..core import issparse
label_desc: Use image node_id 7 for calling a global function with example usage: test_sparse_floor_divide() without return types