code: def _sprandn(
      m, n, density=0.01, format="coo", dtype=None, random_state=None
  ):
      # Helper function for testing.
      random_state = check_random_state(random_state)
      data_rvs = random_state.standard_normal
      return construct.random(
          m, n, density, format, dtype, random_state, data_rvs
      )
  
imports: import numpy
  from numpy import array
  from numpy.testing import assert_equal, assert_, assert_array_equal, assert_array_almost_equal_nulp
  import pytest
  from pytest import raises
  from scipy._lib._testutils import check_free_memory
  from scipy._lib._util import check_random_state
  from scipy.sparse import csr_matrix, coo_matrix, construct
  from scipy.sparse.construct import rand
  from scipy.sparse.sputils import matrix
label_desc: Use image node_id 1 for calling a global function with example usage: _sprandn(m, n, density, format, dtype, random_state) and returns: construct