code: def test_labels_correct(self, p):
      graph_type, degree, d_nodes = "erdos-renyi", 4, 10
      sm = generate_structure_dynamic(
          d_nodes, p, degree, degree, graph_type
      )
      data = generate_dataframe_dynamic(
          sm, sem_type="linear-gauss", n_samples=10
      )
      intra_nodes = sorted([el for el in sm.nodes if "_lag0" in el])
      inter_nodes = sorted([el for el in sm.nodes if "_lag0" not in el])
      assert sorted(data.columns) == sorted(
          list(inter_nodes) + list(intra_nodes)
      )
  
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 3 for calling the TestGenerateDataframeDynamic obj's underlying member method code with example usage: obj.test_labels_correct(p) without return types