code: def _roll(a, shift):
      if not isinstance(a, np.ndarray):
          a = np.asarray(a)
      idx = shift % len(a)
      return np.concatenate([a[-idx:], a[:-idx]])
  
imports: import pandas
  import numpy
  from statsmodels.tsa.stattools import acf, adfuller, pacf
  import itertools
  from statsmodels.tsa.ar_model import AR
  from scipy.signal import cwt, find_peaks_cwt, ricker, welch
  from scipy.stats import linregress
  import scipy.stats
  from scipy.stats import kurtosis
  from scipy.stats import skew
  import numpy
  from scipy import signal, integrate
  from scipy.interpolate import interp1d
  import math
  from statsmodels.tools.sm_exceptions import MissingDataError
  from numpy.linalg import LinAlgError
label_desc: Use image node_id 5 for calling a global function with example usage: _roll(a, shift) and returns: np