code: def test_save_and_load_random():
      N = 10
      np.random.seed(0)
      dense_matrix = np.random.random((N, N))
      dense_matrix[dense_matrix > 0.7] = 0
      _check_save_and_load(dense_matrix)
  
file_path: catboost/contrib/python/scipy/py3/scipy/sparse/tests/test_matrix_io.py
imports: import os
  import numpy
  import tempfile
  from pytest import raises
  from numpy.testing import assert_equal, assert_
  from scipy.sparse import csc_matrix, csr_matrix, bsr_matrix, dia_matrix, coo_matrix, save_npz, load_npz, dok_matrix
label_desc: Use image node_id 3 for calling a global function with example usage: test_save_and_load_random() without return types