Fix BytesWarning in Tests/test_numpy.py

When running Python with the `-b` command line argument, fixes warnings:

    Tests/test_numpy.py::TestNumpy::test_1bit
      Pillow/Tests/test_numpy.py:118: BytesWarning: Comparison between bytes and string
        arr_bool = numpy.array([[1, 0, 0, 1, 0], [0, 1, 0, 0, 0]], 'bool')

    Tests/test_numpy.py::TestNumpy::test_point_lut
      Pillow/Tests/test_numpy.py:170: BytesWarning: Comparison between bytes and string
        lut = numpy.array(data, dtype='uint8')

    Tests/test_numpy.py::TestNumpy::test_to_array
      Pillow/Tests/test_numpy.py:146: BytesWarning: Comparison between bytes and string
        self.assertEqual(np_img.dtype, numpy.dtype(dtype))
This commit is contained in:
Jon Dufresne 2019-03-17 10:06:44 -07:00
parent d1f865e02a
commit 6d46ae2e8f

View File

@ -115,7 +115,7 @@ class TestNumpy(PillowTestCase):
arr_back = numpy.array(img)
# numpy 1.8 and earlier return this as a boolean. (trusty/precise)
if arr_back.dtype == numpy.bool:
arr_bool = numpy.array([[1, 0, 0, 1, 0], [0, 1, 0, 0, 0]], 'bool')
arr_bool = numpy.array([[1, 0, 0, 1, 0], [0, 1, 0, 0, 0]], numpy.bool)
numpy.testing.assert_array_equal(arr_bool, arr_back)
else:
numpy.testing.assert_array_equal(arr, arr_back)
@ -143,21 +143,21 @@ class TestNumpy(PillowTestCase):
np_img = numpy.array(img)
self._test_img_equals_nparray(img, np_img)
self.assertEqual(np_img.dtype, numpy.dtype(dtype))
self.assertEqual(np_img.dtype, dtype)
modes = [("L", 'uint8'),
("I", 'int32'),
("F", 'float32'),
("LA", 'uint8'),
("RGB", 'uint8'),
("RGBA", 'uint8'),
("RGBX", 'uint8'),
("CMYK", 'uint8'),
("YCbCr", 'uint8'),
modes = [("L", numpy.uint8),
("I", numpy.int32),
("F", numpy.float32),
("LA", numpy.uint8),
("RGB", numpy.uint8),
("RGBA", numpy.uint8),
("RGBX", numpy.uint8),
("CMYK", numpy.uint8),
("YCbCr", numpy.uint8),
("I;16", '<u2'),
("I;16B", '>u2'),
("I;16L", '<u2'),
("HSV", 'uint8'),
("HSV", numpy.uint8),
]
for mode in modes:
@ -167,7 +167,7 @@ class TestNumpy(PillowTestCase):
# see https://github.com/python-pillow/Pillow/issues/439
data = list(range(256))*3
lut = numpy.array(data, dtype='uint8')
lut = numpy.array(data, dtype=numpy.uint8)
im = hopper()