code: def load_data(dataset, data_dict):
      dtset = dataset.data_module.load_pandas()
      variables = dataset.variable_names
      loaded = dtset.data[variables].astype(float).values
      data_dict[dataset] = loaded.reshape((-1, len(variables)))
  
imports: import numpy
  from numpy.testing import assert_, assert_allclose, assert_array_equal, assert_raises, assert_raises_regex
  import pytest
  import statsmodels.datasets.interest_inflation.data
  from statsmodels.tools.testing import assert_equal
  from statsmodels.tsa.vector_ar.tests.JMulTi_results.parse_jmulti_vecm_output import dt_s_tup_to_string, load_results_jmulti, sublists
  from statsmodels.tsa.vector_ar.util import seasonal_dummies
  from statsmodels.tsa.vector_ar.var_model import VARProcess
  from statsmodels.tsa.vector_ar.vecm import VECM, select_coint_rank, select_order
label_desc: Use image node_id 1 for calling a global function with example usage: load_data(dataset, data_dict) without return types