code: def generate_seaborn_figure():
      sample_size = 30
      x = np.random.rand(sample_size) * 2 * np.pi
      data = {
          "x": x,
          "y": np.sin(x),
          "c": np.random.randint(0, 2, sample_size),
          "arch": x > np.pi,
      }
      seaborn_fig = sns.relplot(
          data=data, x="x", y="y", hue="c", col="arch"
      )
      return seaborn_fig
  
file_path: neptune-client/tests/e2e/plot_utils.py
imports: import altair
  import matplotlib.pyplot
  import numpy
  import plotly.express
  import seaborn
  from bokeh import models, palettes, plotting, sampledata
  from PIL import Image
  from vega_datasets import data
label_desc: Use image node_id 6 for calling a global function with example usage: generate_seaborn_figure() and returns: seaborn_fig