class_docstr: Test behaviour of the from_numpy_lasso method
docstr: With a single iteration on this dataset, learn_structure fails to converge and should give warnings.
docstr_tok: ["With","a","single","iteration","on","this","dataset",",","learn_structure","fails","to","converge","and","should","give","warnings","."]
code: def test_single_iter_gets_converged_fail_warnings(
      self, caplog, train_data_idx
  ):
      """
      With a single iteration on this dataset, learn_structure fails to converge and should give warnings.
      """
      with caplog.at_level(logging.WARNING):
          from_numpy(train_data_idx.values, max_iter=1)
      assert (
          "Failed to converge. Consider increasing max_iter."
          in caplog.text
      )
  
imports: import logging
  import networkx
  import numpy
  import pandas
  import pytest
  import scipy.optimize
  from mock import patch
  from causalnex.structure import StructureModel
  from causalnex.structure.data_generators import generate_binary_data, generate_binary_dataframe, generate_continuous_dataframe, generate_count_dataframe, generate_structure
  from causalnex.structure.pytorch.notears import from_numpy, from_pandas
label_desc: Use image node_id 5 for calling the TestFromNumpy obj's underlying member method code with example usage: obj.test_single_iter_gets_converged_fail_warnings(caplog, train_data_idx) without return types