code: def test_seems_stationary(self, seed):
      np.random.seed(seed)
      _, df, _, _ = gen_stationary_dyn_net_and_df(
          w_min_inter=0.1, w_max_inter=0.2, max_data_gen_trials=2
      )
      assert np.all(df.max() - df.min() < 10)
  
imports: import re
  import string
  from itertools import product
  import numpy
  import pandas
  import pytest
  from scipy import stats
  from sklearn.gaussian_process.kernels import RBF
  from causalnex.structure import StructureModel
  from causalnex.structure.data_generators import gen_stationary_dyn_net_and_df, generate_binary_data, generate_binary_dataframe, generate_categorical_dataframe, generate_continuous_data, generate_continuous_dataframe, generate_count_dataframe, generate_dataframe_dynamic, generate_structure, generate_structure_dynamic
  from tests.structure.data_generators.test_core import calculate_proba
label_desc: Use image node_id 2 for calling the TestGenerateStationaryDynamicStructureAndSamples obj's underlying member method code with example usage: obj.test_seems_stationary(seed) without return types