Pillow/Tests/test_numpy.py

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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.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))