code: def test_sparse_minimum():
      s1 = SparseNDArray(s1_data)
      s2 = SparseNDArray(s2_data)
  
      np.testing.assert_array_equal(
          s1.minimum(s2).toarray(), s1.minimum(s2).toarray()
      )
  
      v = SparseVector(v1, shape=(3,))
      np.testing.assert_array_equal(
          v.minimum(d1), np.minimum(v1_data, d1)
      )
  
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 16 for calling a global function with example usage: test_sparse_minimum() without return types