import os.path import numpy as np from numpy.testing import * from numpy.testing.decorators import skipif from tempfile import NamedTemporaryFile from skimage import data_dir from skimage.io import imread, imsave, use_plugin, reset_plugins import skimage.io as sio try: import imread as _imread use_plugin('imread') except ImportError: imread_available = False else: imread_available = True np.random.seed(0) def teardown(): reset_plugins() @skipif(not imread_available) def test_imread_flatten(): # a color image is flattened img = imread(os.path.join(data_dir, 'color.png'), flatten=True) assert img.ndim == 2 assert img.dtype == np.float64 img = imread(os.path.join(data_dir, 'camera.png'), flatten=True) # check that flattening does not occur for an image that is grey already. assert np.sctype2char(img.dtype) in np.typecodes['AllInteger'] @skipif(not imread_available) def test_imread_palette(): img = imread(os.path.join(data_dir, 'palette_color.png')) assert img.ndim == 3 @skipif(not imread_available) def test_imread_truncated_jpg(): assert_raises((RuntimeError, ValueError), sio.imread, os.path.join(data_dir, 'truncated.jpg')) @skipif(not imread_available) def test_bilevel(): expected = np.zeros((10, 10), bool) expected[::2] = 1 img = imread(os.path.join(data_dir, 'checker_bilevel.png')) assert_array_equal(img, expected) class TestSave: def roundtrip(self, x, scaling=1): f = NamedTemporaryFile(suffix='.png') fname = f.name f.close() imsave(fname, x) y = imread(fname) assert_array_almost_equal((x * scaling).astype(np.int32), y) @skipif(not imread_available) def test_imsave_roundtrip(self): dtype = np.uint8 for shape in [(10, 10), (10, 10, 3), (10, 10, 4)]: x = np.ones(shape, dtype=dtype) * np.random.rand(*shape) if np.issubdtype(dtype, float): yield self.roundtrip, x, 255 else: x = (x * 255).astype(dtype) yield self.roundtrip, x if __name__ == "__main__": run_module_suite()