mirror of
https://github.com/python-pillow/Pillow.git
synced 2024-12-26 18:06:18 +03:00
ad784eb808
This is Christoph Gohlke's test suite from his personal PIL package found at http://www.lfd.uci.edu/~gohlke/pythonlibs/. This is just to bring it in as a separate commit. Future commits will align it with Pillow.
55 lines
1.9 KiB
Python
55 lines
1.9 KiB
Python
from tester import *
|
|
|
|
from PIL import Image
|
|
|
|
try:
|
|
import site
|
|
import numpy
|
|
except ImportError:
|
|
skip()
|
|
|
|
def test_numpy_to_image():
|
|
|
|
def to_image(dtype, bands=1, bool=0):
|
|
if bands == 1:
|
|
if bool:
|
|
data = [0, 1] * 50
|
|
else:
|
|
data = list(range(100))
|
|
a = numpy.array(data, dtype=dtype)
|
|
a.shape = 10, 10
|
|
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 = 10, 10, bands
|
|
i = Image.fromarray(a)
|
|
if list(i.split()[0].getdata()) != list(range(100)):
|
|
print("data mismatch for", dtype)
|
|
# print dtype, list(i.getdata())
|
|
return i
|
|
|
|
# assert_image(to_image(numpy.bool, bool=1), "1", (10, 10))
|
|
# assert_image(to_image(numpy.bool8, bool=1), "1", (10, 10))
|
|
|
|
assert_exception(TypeError, lambda: to_image(numpy.uint))
|
|
assert_image(to_image(numpy.uint8), "L", (10, 10))
|
|
assert_exception(TypeError, lambda: to_image(numpy.uint16))
|
|
assert_exception(TypeError, lambda: to_image(numpy.uint32))
|
|
assert_exception(TypeError, lambda: to_image(numpy.uint64))
|
|
|
|
assert_image(to_image(numpy.int), "I", (10, 10))
|
|
assert_image(to_image(numpy.int8), "I", (10, 10))
|
|
assert_image(to_image(numpy.int16), "I;16", (10, 10))
|
|
assert_image(to_image(numpy.int32), "I", (10, 10))
|
|
assert_exception(TypeError, lambda: to_image(numpy.int64))
|
|
|
|
assert_image(to_image(numpy.float), "F", (10, 10))
|
|
assert_image(to_image(numpy.float32), "F", (10, 10))
|
|
assert_image(to_image(numpy.float64), "F", (10, 10))
|
|
|
|
assert_image(to_image(numpy.uint8, 3), "RGB", (10, 10))
|
|
assert_image(to_image(numpy.uint8, 4), "RGBA", (10, 10))
|