code: def data_1d_single_group():
      rng = np.random.default_rng(seed=121195)
      size = 100
      b, sigma = 5, 1.5
      x = np.linspace(0, 10, size)
      y = b * np.sin(x / 1.75) + rng.normal(scale=sigma, size=size)
      return pd.DataFrame({"x": x, "y": y})
  
imports: import pathlib
  import re
  import bambi
  import numpy
  import pandas
  import pytest
label_desc: Use image node_id 1 for calling a global function with example usage: data_1d_single_group() and returns: pd