docstr: all edges must have weight values as floats or int
docstr_tok: ["all","edges","must","have","weight","values","as","floats","or","int"]
code: def test_edges_have_weights(self):
      """all edges must have weight values as floats or int"""
      g = generate_structure_dynamic(10, 3, 4, 4)  # No intra edges
      ws = [w for _, _, w in g.edges(data="weight")]
      assert np.all([isinstance(w, (float, int)) for w in ws])
  
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 4 for calling the TestGenerateStructureDynamic obj's underlying member method code with example usage: obj.test_edges_have_weights() without return types