code: def wozniak(magnitude, param=woz_param):
      iters = []
      for consecutiveStar in [
          stars["consecutiveStar"] for stars in param
      ]:
          N = len(magnitude)
          if N < consecutiveStar:
              return 0
          sigma = np.std(magnitude)
          m = np.mean(magnitude)
          count = 0
  
          for i in range(N - consecutiveStar + 1):
              flag = 0
              for j in range(consecutiveStar):
                  if (
                      magnitude[i + j] > m + 2 * sigma
                      or magnitude[i + j] < m - 2 * sigma
                  ):
                      flag = 1
                  else:
                      flag = 0
                      break
              if flag:
                  count = count + 1
          iters.append(count * 1.0 / (N - consecutiveStar + 1))
  
      return [
          (
              "consecutiveStar_{}".format(config["consecutiveStar"]),
              iters[en],
          )
          for en, config in enumerate(param)
      ]
  
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 19 for calling a global function with example usage: wozniak(magnitude, param) and returns: unknown, int