docstr: Tests when the mask has only non-zero values.
  
  The original image should be returned.
docstr_tok: ["Tests","when","the","mask","has","only","non-zero","values",".","The","original","image","should","be","returned","."]
code: def test_create_blurred_image_full_mask(self):
      """Tests when the mask has only non-zero values.
  
      The original image should be returned.
      """
      mask = np.full_like(self.img, fill_value=True)[:, :, 0].astype(
          bool
      )
      blurred_img = pic.create_blurred_image(
          full_img=self.img, pixel_mask=mask
      )
      self.assertTrue(np.all(self.img == blurred_img))
  
file_path: saliency/saliency/metrics/pic_test.py
imports: import numpy
  import os
  import unittest
  from .None import pic
  from pathlib import Path
  from PIL import Image
label_desc: Use image node_id 3 for calling the PicTest obj's underlying member method code with example usage: obj.test_create_blurred_image_full_mask() without return types