def test_views_non_contiguous():
A = np.arange(16).reshape((4, 4))
A = A[::2, :]
with all_warnings():
assert_warns(RuntimeWarning, view_as_blocks, A, (2, 2))
assert_warns(RuntimeWarning, view_as_windows, A, (2, 2))
def test_views_non_contiguous():
A = np.arange(16).reshape((4, 4))
A = A[::2, :]
with all_warnings():
assert_warns(RuntimeWarning, view_as_blocks, A, (2, 2))
assert_warns(RuntimeWarning, view_as_windows, A, (2, 2))
def test_update_on_save():
pic = novice.Picture(array=np.zeros((3, 3, 3)))
with all_warnings(): # precision loss
pic.size = (6, 6)
assert pic.modified
assert pic.path is None
fd, filename = tempfile.mkstemp(suffix=".jpg")
os.close(fd)
try:
pic.save(filename)
assert not pic.modified
assert_equal(pic.path, os.path.abspath(filename))
assert_equal(pic.format, "jpeg")
finally:
os.unlink(filename)
def test_update_on_save():
pic = novice.Picture(array=np.zeros((3, 3, 3)))
with all_warnings(): # precision loss
pic.size = (6, 6)
assert pic.modified
assert pic.path is None
fd, filename = tempfile.mkstemp(suffix=".jpg")
os.close(fd)
try:
pic.save(filename)
assert not pic.modified
assert_equal(pic.path, os.path.abspath(filename))
assert_equal(pic.format, "jpeg")
finally:
os.unlink(filename)
def test_update_on_save():
pic = novice.Picture(array=np.zeros((3, 3, 3)))
# prevent attempting to save low-contrast image
pic[0, 0] = (255, 255, 255)
with all_warnings(): # precision loss
pic.size = (6, 6)
assert pic.modified
assert pic.path is None
fd, filename = tempfile.mkstemp(suffix=".png")
os.close(fd)
try:
pic.save(filename)
assert not pic.modified
assert_equal(pic.path, os.path.abspath(filename))
assert_equal(pic.format, "png")
finally:
os.unlink(filename)
def test_update_on_save():
pic = novice.Picture(array=np.zeros((3, 3, 3)))
# prevent attempting to save low-contrast image
pic[0, 0] = (255, 255, 255)
with all_warnings(): # precision loss
pic.size = (6, 6)
assert pic.modified
assert pic.path is None
fd, filename = tempfile.mkstemp(suffix=".png")
os.close(fd)
try:
pic.save(filename)
assert not pic.modified
assert_equal(pic.path, os.path.abspath(filename))
assert_equal(pic.format, "png")
finally:
os.unlink(filename)
def test_modify():
pic = novice.open(SMALL_IMAGE_PATH)
assert_equal(pic.modified, False)
for p in pic:
if p.x < (pic.width / 2):
p.red /= 2
p.green /= 2
p.blue /= 2
for p in pic:
if p.x < (pic.width / 2):
assert p.red <= 128
assert p.green <= 128
assert p.blue <= 128
s = pic.size
with all_warnings(): # precision loss
pic.size = (pic.width / 2, pic.height / 2)
assert_equal(pic.size, (int(s[0] / 2), int(s[1] / 2)))
assert pic.modified
assert pic.path is None
def test_modify():
pic = novice.open(SMALL_IMAGE_PATH)
assert_equal(pic.modified, False)
for p in pic:
if p.x < (pic.width / 2):
p.red /= 2
p.green /= 2
p.blue /= 2
for p in pic:
if p.x < (pic.width / 2):
assert p.red <= 128
assert p.green <= 128
assert p.blue <= 128
s = pic.size
with all_warnings(): # precision loss
pic.size = (pic.width / 2, pic.height / 2)
assert_equal(pic.size, (int(s[0] / 2), int(s[1] / 2)))
assert pic.modified
assert pic.path is None
def test_negative_intensity():
with all_warnings():
labels = np.arange(100).reshape(10, 10)
image = -1 * np.ones((10, 10))
assert_warns(UserWarning, label2rgb, labels, image)
def test_negative_intensity():
with all_warnings():
labels = np.arange(100).reshape(10, 10)
image = -1 * np.ones((10, 10))
assert_warns(UserWarning, label2rgb, labels, image)
