code: def irregularity(x: np.ndarray) -> np.ndarray:  # Tosz
      xhat = np.abs(x)
      xhat[x == 0.0] = 1.0  # get rid of 0 special case
      xhat = np.log(xhat)
      signx = np.sign(x, dtype=float)
      c1 = (
          0.5 * (10.0 + 5.5) + 0.5 * (10 - 5.5) * signx
      )  # 5.5 if negative else 10
      c2 = (
          0.5 * (3.1 + 7.9) + 0.5 * (7.9 - 3.1) * signx
      )  # 3.1 if negative else 7.9
      # the following seems slightly faster than positive then negative
      output: np.ndarray = signx * np.exp(
          xhat + 0.049 * (np.sin(c1 * xhat) + np.sin(c2 * xhat))
      )
      return output
  
imports: from typing import List, Callable, Optional
  from math import exp, sqrt
  import numpy
label_desc: Use image node_id 7 for calling a global function with example usage: irregularity(x) and returns: output