docstr: Fully connected network has expected edge counts
docstr_tok: ["Fully","connected","network","has","expected","edge","counts"]
code: def test_full_network(self):
      """Fully connected network has expected edge counts"""
      sm = generate_structure(40, degree=0, graph_type="full")
  
      assert len(sm.edges) == (40 * 39) / 2
  
imports: import operator
  from typing import Hashable, Tuple, Union
  import networkx
  import numpy
  import pandas
  import pytest
  from networkx.algorithms.dag import is_directed_acyclic_graph
  from sklearn.gaussian_process.kernels import RBF
  from causalnex.structure.data_generators.core import _sample_binary_from_latent, _sample_count_from_latent, _sample_poisson, generate_structure, nonlinear_sem_generator, sem_generator
  from causalnex.structure.structuremodel import StructureModel
label_desc: Use image node_id 11 for calling the TestGenerateStructure obj's underlying member method code with example usage: obj.test_full_network() without return types