code: def check_fit_args(distfn, arg, rvs, method):
      with np.errstate(all="ignore"), npt.suppress_warnings() as sup:
          sup.filter(
              category=RuntimeWarning,
              message="The shape parameter of the erlang",
          )
          sup.filter(
              category=RuntimeWarning,
              message="floating point number truncated",
          )
          vals = distfn.fit(rvs, method=method)
          vals2 = distfn.fit(rvs, optimizer="powell", method=method)
      # Only check the length of the return; accuracy tested in test_fit.py
      npt.assert_(len(vals) == 2 + len(arg))
      npt.assert_(len(vals2) == 2 + len(arg))
  
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 34 for calling a global function with example usage: check_fit_args(distfn, arg, rvs, method) without return types