code: def plot_distributions(
      distributions,
      labels=None,
      title=None,
      filename=None,
      callbacks=None,
  ):
      sns.set_style("whitegrid")
  
      colors = plt.get_cmap("tab10").colors
  
      fig, ax1 = plt.subplots()
  
      if title is not None:
          ax1.set_title(title)
  
      ax1.grid(which="both")
      ax1.grid(which="minor", alpha=0.5)
      ax1.grid(which="major", alpha=0.75)
  
      ax1.set_xlabel("class")
  
      ax1.set_ylabel("p")
      ax1.tick_params("y")
  
      for i, distribution in enumerate(distributions):
          ax1.plot(
              distribution,
              color=colors[i],
              alpha=0.6,
              label=labels[i]
              if labels is not None and i < len(labels)
              else f"Distribution {i}",
          )
  
      ax1.legend(frameon=True)
      fig.tight_layout()
      visualize_callbacks(callbacks, plt.gcf())
      if filename:
          plt.savefig(filename)
      else:
          plt.show()
  
imports: import copy
  import logging
  from collections import Counter
  from sys import platform
  from typing import Dict, List
  import numpy
  import pandas
  import ptitprince
  from packaging import version
  from ludwig.constants import SPACE, TRAINING, VALIDATION
label_desc: Use image node_id 22 for calling a global function with example usage: plot_distributions(distributions, labels, title, filename, callbacks) without return types