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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 *
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from PIL import Image
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try:
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import site
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import numpy
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except ImportError:
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skip()
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def test_numpy_to_image():
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def to_image(dtype, bands=1, bool=0):
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if bands == 1:
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if bool:
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data = [0, 1] * 50
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else:
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data = list(range(100))
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a = numpy.array(data, dtype=dtype)
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a.shape = 10, 10
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i = Image.fromarray(a)
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if list(i.getdata()) != data:
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print("data mismatch for", dtype)
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else:
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data = list(range(100))
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a = numpy.array([[x]*bands for x in data], dtype=dtype)
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a.shape = 10, 10, bands
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i = Image.fromarray(a)
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if list(i.split()[0].getdata()) != list(range(100)):
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print("data mismatch for", dtype)
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# print dtype, list(i.getdata())
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return i
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# assert_image(to_image(numpy.bool, bool=1), "1", (10, 10))
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# assert_image(to_image(numpy.bool8, bool=1), "1", (10, 10))
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assert_exception(TypeError, lambda: to_image(numpy.uint))
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assert_image(to_image(numpy.uint8), "L", (10, 10))
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assert_exception(TypeError, lambda: to_image(numpy.uint16))
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assert_exception(TypeError, lambda: to_image(numpy.uint32))
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assert_exception(TypeError, lambda: to_image(numpy.uint64))
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assert_image(to_image(numpy.int), "I", (10, 10))
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assert_image(to_image(numpy.int8), "I", (10, 10))
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assert_image(to_image(numpy.int16), "I;16", (10, 10))
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assert_image(to_image(numpy.int32), "I", (10, 10))
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assert_exception(TypeError, lambda: to_image(numpy.int64))
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assert_image(to_image(numpy.float), "F", (10, 10))
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assert_image(to_image(numpy.float32), "F", (10, 10))
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assert_image(to_image(numpy.float64), "F", (10, 10))
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assert_image(to_image(numpy.uint8, 3), "RGB", (10, 10))
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assert_image(to_image(numpy.uint8, 4), "RGBA", (10, 10))
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