# Copyright (c) 2021-2025 The University of Texas Southwestern Medical Center. # All rights reserved. # Redistribution and use in source and binary forms, with or without # modification, are permitted for academic and research use only # (subject to the limitations in the disclaimer below) # provided that the following conditions are met: # * Redistributions of source code must retain the above copyright notice, # this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above copyright # notice, this list of conditions and the following disclaimer in the # documentation and/or other materials provided with the distribution. # * Neither the name of the copyright holders nor the names of its # contributors may be used to endorse or promote products derived from this # software without specific prior written permission. # NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY # THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND # CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A # PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR # CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, # EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, # PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR # BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER # IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) # ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE # POSSIBILITY OF SUCH DAMAGE. # Standard Library Imports import unittest # Third-Party Imports import numpy as np from PIL import Image, ImageFont # import pytest # Local Imports from navigate.tools.image import text_array, create_arrow_image class TextArrayTestCase(unittest.TestCase): def test_text_array(self): text = "55" offset = (0, 0) result = text_array(text, offset) # Assert that the result is a numpy array self.assertIsInstance(result, np.ndarray) # Assert that the values in the result array are either True or False assert result.dtype is np.dtype("bool") def test_text_array_output_type(self): """Confirm output is np.ndarray object""" text_output = text_array(text="Navigate") assert type(text_output) == np.ndarray def test_text_array_output_height(self): """Confirm that the output is approximately the correct height Initially thought that the height should be ~= font_size, but this turned out to be much more variable than I anticipated """ text = "Navigate" text_output = text_array(text=text) font = ImageFont.load_default() # match font size in text_array() height = np.shape(text_output)[0] width = np.shape(text_output)[1] _, _, expected_width, expected_height = font.getbbox(text) assert width == expected_width assert height == expected_height class TestCreateArrowImage(unittest.TestCase): def test_create_arrow_image(self): xys = [(50, 50), (150, 50), (200, 100)] image = create_arrow_image(xys, direction="right") self.assertIsInstance(image, Image.Image) self.assertEqual(image.width, 300) self.assertEqual(image.height, 200) xys = [(50, 50), (150, 50), (200, 100)] image = create_arrow_image(xys, 400, 300, direction="left") self.assertIsInstance(image, Image.Image) self.assertEqual(image.width, 400) self.assertEqual(image.height, 300) image2 = create_arrow_image(xys, 500, 400, direction="up", image=image) self.assertIsInstance(image2, Image.Image) self.assertEqual(image2.width, 400) self.assertEqual(image2.height, 300) assert image == image2 image3 = create_arrow_image(xys, 500, 400, direction="down", image=image) self.assertIsInstance(image3, Image.Image) self.assertEqual(image3.width, 400) self.assertEqual(image3.height, 300) assert image == image3 if __name__ == "__main__": unittest.main()