import pytest from PIL import Image from .helper import hopper numpy = pytest.importorskip("numpy", reason="NumPy not installed") im = hopper().resize((128, 100)) def test_toarray(): def test(mode): ai = numpy.array(im.convert(mode)) return ai.shape, ai.dtype.str, ai.nbytes def test_with_dtype(dtype): ai = numpy.array(im, dtype=dtype) assert ai.dtype == dtype # assert test("1") == ((100, 128), '|b1', 1600)) assert test("L") == ((100, 128), "|u1", 12800) # FIXME: wrong? assert test("I") == ((100, 128), Image._ENDIAN + "i4", 51200) # FIXME: wrong? assert test("F") == ((100, 128), Image._ENDIAN + "f4", 51200) assert test("LA") == ((100, 128, 2), "|u1", 25600) assert test("RGB") == ((100, 128, 3), "|u1", 38400) assert test("RGBA") == ((100, 128, 4), "|u1", 51200) assert test("RGBX") == ((100, 128, 4), "|u1", 51200) test_with_dtype(numpy.float64) test_with_dtype(numpy.uint8) with Image.open("Tests/images/truncated_jpeg.jpg") as im_truncated: with pytest.raises(OSError): numpy.array(im_truncated) def test_fromarray(): class Wrapper: """ Class with API matching Image.fromarray """ def __init__(self, img, arr_params): self.img = img self.__array_interface__ = arr_params def tobytes(self): return self.img.tobytes() def test(mode): i = im.convert(mode) a = numpy.array(i) # Make wrapper instance for image, new array interface wrapped = Wrapper( i, { "shape": a.shape, "typestr": a.dtype.str, "version": 3, "data": a.data, "strides": 1, # pretend it's non-contiguous }, ) out = Image.fromarray(wrapped) return out.mode, out.size, list(i.getdata()) == list(out.getdata()) # assert test("1") == ("1", (128, 100), True) assert test("L") == ("L", (128, 100), True) assert test("I") == ("I", (128, 100), True) assert test("F") == ("F", (128, 100), True) assert test("LA") == ("LA", (128, 100), True) assert test("RGB") == ("RGB", (128, 100), True) assert test("RGBA") == ("RGBA", (128, 100), True) assert test("RGBX") == ("RGBA", (128, 100), True) # Test mode is None with no "typestr" in the array interface with pytest.raises(TypeError): wrapped = Wrapper(test("L"), {"shape": (100, 128)}) Image.fromarray(wrapped)