code: def number_cwt_peaks(x, param=cwt_param):
      return [
          (
              "CWTPeak_{}".format(n),
              len(
                  find_peaks_cwt(
                      vector=x,
                      widths=np.array(list(range(1, n + 1))),
                      wavelet=ricker,
                  )
              ),
          )
          for n in 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 24 for calling a global function with example usage: number_cwt_peaks(x, param) and returns: unknown