code: def generate_synthetic_data(length: int = 2200, periods: int = 5):
      """The function generates a synthetic one-dimensional array without omissions
  
      Args:
          length: the length of the array
          periods: the number of periods in the sine wave
  
      Returns:
          array: an array without gaps
      """
  
      sinusoidal_data = np.linspace(
          -periods * np.pi, periods * np.pi, length
      )
      sinusoidal_data = np.sin(sinusoidal_data)
      random_noise = np.random.normal(loc=0.0, scale=0.1, size=length)
  
      # Combining a sine wave and random noise
      synthetic_data = sinusoidal_data + random_noise
      return synthetic_data
  
imports: from typing import Dict
  import numpy
  from sklearn import datasets
label_desc: Use image node_id 4 for calling a global function with example usage: generate_synthetic_data(length, periods) and returns: synthetic_data