for testing and deploying your application
for finding and fixing issues
for empowering human code reviews
import pytest
import numpy as np
@pytest.fixture
def image_processor():
from artificial_artwork.image.image_processor import ImageProcessor
return ImageProcessor()
@pytest.mark.parametrize('image, pipeline, output', [
([[1,2,3], [4,5,6]], [], [[1,2,3], [4,5,6]]),
([[1,2,3], [4,5,6]], [lambda array: array + 1], [[2,3,4], [5,6,7]]),
array
])
def test_image_processor(image, pipeline, output, image_processor):
runtime_output = image_processor.process(np.array(image), pipeline)
assert (runtime_output - np.array(output) == 0).all()