mirror of
https://github.com/python-pillow/Pillow.git
synced 2024-11-10 19:56:47 +03:00
95 lines
2.7 KiB
Python
95 lines
2.7 KiB
Python
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)
|
|
|
|
|
|
def test_fromarray_palette():
|
|
# Arrange
|
|
i = im.convert("L")
|
|
a = numpy.array(i)
|
|
|
|
# Act
|
|
out = Image.fromarray(a, "P")
|
|
|
|
# Assert that the Python and C palettes match
|
|
assert len(out.palette.colors) == len(out.im.getpalette()) / 3
|