code: def test_flow_to_image_errors(input_flow, match):
      with pytest.raises(ValueError, match=match):
          utils.flow_to_image(flow=input_flow)
  
imports: import os
  import re
  import sys
  import tempfile
  from io import BytesIO
  import numpy
  import pytest
  import torch
  import torchvision.transforms.functional
  import torchvision.utils
  from common_utils import assert_equal, cpu_and_cuda
  from PIL import __version__, Image, ImageColor
  from torchvision.transforms.v2.functional import to_dtype
label_desc: Use image node_id 22 for calling a global function with example usage: test_flow_to_image_errors(input_flow, match) without return types