docstr: if fails to find suitable network, returns dataset of ones
docstr_tok: ["if","fails","to","find","suitable","network",",","returns","dataset","of","ones"]
code: def test_fail_to_find_stationary_network(self):
      """if fails to find suitable network, returns dataset of ones"""
      np.random.seed(5)
      _, df, _, _ = gen_stationary_dyn_net_and_df(
          n_samples=1000,
          p=1,
          w_min_inter=0.6,
          w_max_inter=0.6,
          max_data_gen_trials=20,
          degree_intra=4,
          degree_inter=7,
      )
      assert np.any(np.ones(df.shape) == df)
  
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 5 for calling the TestGenerateStationaryDynamicStructureAndSamples obj's underlying member method code with example usage: obj.test_fail_to_find_stationary_network() without return types