code: def max_langevin_fixed_point(x, r=3, m=30):
      coeff = _estimate_friedrich_coefficients(x, m, r)
  
      try:
          max_fixed_point = np.max(np.real(np.roots(coeff)))
      except (np.linalg.LinAlgError, ValueError):
          return np.nan
  
      return max_fixed_point
  
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 34 for calling a global function with example usage: max_langevin_fixed_point(x, r, m) and returns: max_fixed_point, np