code: def skip_models(_gensim, monkeypatch):
      class MockCoherenceModel:
          def __init__(
              self,
              model=None,
              topics=None,
              texts=None,
              corpus=None,
              dictionary=None,
              window_size=None,
              keyed_vectors=None,
              coherence="c_v",
              topn=20,
              processes=-1,
          ):
              pass
  
          def get_coherence(self):
              return 1
  
      class MockLdaModel:
          def __init__(
              self,
              corpus=None,
              num_topics=100,
              id2word=None,
              distributed=False,
              chunksize=2000,
              passes=1,
              update_every=1,
              alpha="symmetric",
              eta=None,
              decay=0.5,
              offset=1.0,
              eval_every=10,
              iterations=50,
              gamma_threshold=0.001,
              minimum_probability=0.01,
              random_state=1,
              ns_conf=None,
              minimum_phi_value=0.01,
              per_word_topics=False,
              callbacks=None,
              dtype=np.float32,
          ):
              pass
  
      class MockLsiModel:
          def __init__(
              self,
              corpus=None,
              num_topics=200,
              id2word=None,
              chunksize=20000,
              decay=1.0,
              distributed=False,
              onepass=True,
              power_iters=2,
              extra_samples=100,
              dtype=np.float64,
          ):
              pass
  
          def fit(self):
              pass
  
      monkeypatch.setattr(
          "gensim.models.coherencemodel.CoherenceModel",
          MockCoherenceModel,
      )
  
imports: import pandas
  import numpy
  import matplotlib
  import sklearn
  import pytest
  from data_describe.text.topic_modeling import topic_model
label_desc: Use image node_id 1 for calling a global function with example usage: skip_models(_gensim, monkeypatch) and returns: int