code: def test_cats_file_values(self):
      image_array = numpy.random.rand(10, 10) * 255
      image = Image.fromarray(image_array.astype(numpy.uint8))
      bokeh_figure = figure(width=400, height=400)
      bokeh_figure.circle(size=20, color="navy", alpha=0.5)
  
      data = [image, bokeh_figure]
      for value in data:
          with self.subTest(msg=value):
              self.assertIsInstance(cast_value(value), File)
  
file_path: neptune-client/tests/unit/neptune/new/types/test_file_casting.py
imports: from datetime import datetime
  import numpy
  from bokeh.plotting import figure
  from PIL import Image
  from neptune.types import Datetime, File, Float, FloatSeries, Integer, String
  from neptune.types.namespace import Namespace
  from neptune.types.type_casting import cast_value
  from tests.unit.neptune.new.attributes.test_attribute_base import TestAttributeBase
label_desc: Use image node_id 3 for calling the TestTypeCasting obj's underlying member method code with example usage: obj.test_cats_file_values() without return types