code: def setup_method(self):
      # fit for each test, because results will be changed by test
      x = self.exog
      np.random.seed(987689)
      y_count = np.random.poisson(np.exp(x.sum(1) - x.mean()))
      model = sm.Poisson(y_count, x)
      self.results = model.fit_regularized(
          method="l1", disp=0, alpha=10
      )
  
imports: from statsmodels.compat.pandas import assert_series_equal
  from io import BytesIO
  import pickle
  import numpy
  import pandas
  import statsmodels.api
label_desc: Use image node_id 1 for calling the TestRemoveDataPicklePoissonRegularized obj's underlying member method code with example usage: obj.setup_method() without return types