code: def test_valid_shape():
      assert not not_valid(
          np.ones((2, 200)),
          check_nan=False,
          shape_kwargs=dict(min_chains=2, min_draws=100),
      )
      assert not not_valid(
          np.ones((200, 2)),
          check_nan=False,
          shape_kwargs=dict(min_chains=100, min_draws=2),
      )
      assert not_valid(
          np.ones((10, 10)),
          check_nan=False,
          shape_kwargs=dict(min_chains=2, min_draws=100),
      )
      assert not_valid(
          np.ones((10, 10)),
          check_nan=False,
          shape_kwargs=dict(min_chains=100, min_draws=2),
      )
  
imports: import numpy
  import pytest
  from numpy.testing import assert_array_almost_equal
  from scipy.special import logsumexp
  from scipy.stats import circstd
  from ...data import from_dict, load_arviz_data
  from ...stats.density_utils import histogram
  from ...stats.stats_utils import ELPDData, _angle, _circfunc, _circular_standard_deviation, _sqrt, get_log_likelihood
  from ...stats.stats_utils import logsumexp
  from ...stats.stats_utils import make_ufunc, not_valid, stats_variance_2d, wrap_xarray_ufunc
label_desc: Use image node_id 14 for calling a global function with example usage: test_valid_shape() without return types