class_docstr: Provides the base class for stationarity tests such as the
  Kwiatkowski–Phillips–Schmidt–Shin, Augmented Dickey-Fuller and the
  Phillips–Perron tests. These tests are used to determine whether a time
  series is stationary.
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code: def __init__(self, alpha):
      self.alpha = alpha
  
imports: from sklearn.base import BaseEstimator
  from sklearn.linear_model import LinearRegression
  from statsmodels import api
  from abc import ABCMeta, abstractmethod
  import numpy
  from ..compat.numpy import DTYPE
  from ..decorators import deprecated
  from ..utils.array import c, diff, check_endog
  from .approx import approx
  from ._arima import C_tseries_pp_sum
label_desc: Use image node_id 1 to create a new _DifferencingStationarityTest object from inherited base classes: _BaseStationarityTest with example: obj = _DifferencingStationarityTest(alpha)