code: def test_scalar_for_scalar2():
      # test methods that are not attributes of frozen distributions
      res = stats.norm.fit([1, 2, 3])
      assert isinstance(res[0], np.number)
      assert isinstance(res[1], np.number)
      res = stats.norm.fit_loc_scale([1, 2, 3])
      assert isinstance(res[0], np.number)
      assert isinstance(res[1], np.number)
      res = stats.norm.nnlf((0, 1), [1, 2, 3])
      assert isinstance(res, np.number)
  
imports: import sys
  import numpy
  import numpy.testing
  import pytest
  from pytest import raises
  from scipy.integrate import IntegrationWarning
  import itertools
  from scipy import stats
  from .common_tests import check_normalization, check_moment, check_mean_expect, check_var_expect, check_skew_expect, check_kurt_expect, check_entropy, check_private_entropy, check_entropy_vect_scale, check_edge_support, check_named_args, check_random_state_property, check_meth_dtype, check_ppf_dtype, check_cmplx_deriv, check_pickling, check_rvs_broadcast, check_freezing, check_munp_expect
  from scipy.stats._distr_params import distcont
  from scipy.stats._distn_infrastructure import rv_continuous_frozen
label_desc: Use image node_id 45 for calling a global function with example usage: test_scalar_for_scalar2() without return types