code: def data():
      """Generate synthetic data."""
      x = np.linspace(0.3, 10, 100)
      np.random.seed(0)
      y = 1.0 / (0.1 * x) + 2.0 + 0.1 * np.random.randn(x.size)
      return (x, y)
  
imports: import copy
  import numpy
  from numpy.testing import assert_allclose
  import pytest
  from scipy.stats import f
  import lmfit
label_desc: Use image node_id 1 for calling a global function with example usage: data() and returns: x,  y