import pytest from PIL import Image from .helper import assert_deep_equal, assert_image, hopper numpy = pytest.importorskip("numpy", reason="NumPy not installed") TEST_IMAGE_SIZE = (10, 10) def test_numpy_to_image(): def to_image(dtype, bands=1, boolean=0): if bands == 1: if boolean: data = [0, 255] * 50 else: data = list(range(100)) a = numpy.array(data, dtype=dtype) a.shape = TEST_IMAGE_SIZE i = Image.fromarray(a) if list(i.getdata()) != data: print("data mismatch for", dtype) else: data = list(range(100)) a = numpy.array([[x] * bands for x in data], dtype=dtype) a.shape = TEST_IMAGE_SIZE[0], TEST_IMAGE_SIZE[1], bands i = Image.fromarray(a) if list(i.getchannel(0).getdata()) != list(range(100)): print("data mismatch for", dtype) return i # Check supported 1-bit integer formats assert_image(to_image(bool, 1, 1), "1", TEST_IMAGE_SIZE) assert_image(to_image(numpy.bool8, 1, 1), "1", TEST_IMAGE_SIZE) # Check supported 8-bit integer formats assert_image(to_image(numpy.uint8), "L", TEST_IMAGE_SIZE) assert_image(to_image(numpy.uint8, 3), "RGB", TEST_IMAGE_SIZE) assert_image(to_image(numpy.uint8, 4), "RGBA", TEST_IMAGE_SIZE) assert_image(to_image(numpy.int8), "I", TEST_IMAGE_SIZE) # Check non-fixed-size integer types # These may fail, depending on the platform, since we have no native # 64-bit int image types. # assert_image(to_image(numpy.uint), "I", TEST_IMAGE_SIZE) # assert_image(to_image(numpy.int), "I", TEST_IMAGE_SIZE) # Check 16-bit integer formats if Image._ENDIAN == "<": assert_image(to_image(numpy.uint16), "I;16", TEST_IMAGE_SIZE) else: assert_image(to_image(numpy.uint16), "I;16B", TEST_IMAGE_SIZE) assert_image(to_image(numpy.int16), "I", TEST_IMAGE_SIZE) # Check 32-bit integer formats assert_image(to_image(numpy.uint32), "I", TEST_IMAGE_SIZE) assert_image(to_image(numpy.int32), "I", TEST_IMAGE_SIZE) # Check 64-bit integer formats with pytest.raises(TypeError): to_image(numpy.uint64) with pytest.raises(TypeError): to_image(numpy.int64) # Check floating-point formats assert_image(to_image(float), "F", TEST_IMAGE_SIZE) with pytest.raises(TypeError): to_image(numpy.float16) assert_image(to_image(numpy.float32), "F", TEST_IMAGE_SIZE) assert_image(to_image(numpy.float64), "F", TEST_IMAGE_SIZE) assert_image(to_image(numpy.uint8, 2), "LA", (10, 10)) assert_image(to_image(numpy.uint8, 3), "RGB", (10, 10)) assert_image(to_image(numpy.uint8, 4), "RGBA", (10, 10)) # Based on an erring example at # https://stackoverflow.com/questions/10854903/what-is-causing-dimension-dependent-attributeerror-in-pil-fromarray-function def test_3d_array(): size = (5, TEST_IMAGE_SIZE[0], TEST_IMAGE_SIZE[1]) a = numpy.ones(size, dtype=numpy.uint8) assert_image(Image.fromarray(a[1, :, :]), "L", TEST_IMAGE_SIZE) size = (TEST_IMAGE_SIZE[0], 5, TEST_IMAGE_SIZE[1]) a = numpy.ones(size, dtype=numpy.uint8) assert_image(Image.fromarray(a[:, 1, :]), "L", TEST_IMAGE_SIZE) size = (TEST_IMAGE_SIZE[0], TEST_IMAGE_SIZE[1], 5) a = numpy.ones(size, dtype=numpy.uint8) assert_image(Image.fromarray(a[:, :, 1]), "L", TEST_IMAGE_SIZE) def test_1d_array(): a = numpy.ones(5, dtype=numpy.uint8) assert_image(Image.fromarray(a), "L", (1, 5)) def _test_img_equals_nparray(img, np): assert len(np.shape) >= 2 np_size = np.shape[1], np.shape[0] assert img.size == np_size px = img.load() for x in range(0, img.size[0], int(img.size[0] / 10)): for y in range(0, img.size[1], int(img.size[1] / 10)): assert_deep_equal(px[x, y], np[y, x]) def test_16bit(): with Image.open("Tests/images/16bit.cropped.tif") as img: np_img = numpy.array(img) _test_img_equals_nparray(img, np_img) assert np_img.dtype == numpy.dtype("u2"), ("I;16L", "