def test_invalid_colourspace_warns():
"""Test that using an unknown colourspace gives a warning."""
index = get_indexed_datasets('1.2.840.10008.1.2.4.50')
ds = index['JPEGBaseline_1s_1f_u_08_08.dcm']['ds']
nr_frames = ds.get('NumberOfFrames', 1)
frame = next(generate_pixel_data_frame(ds.PixelData, nr_frames))
msg = r"no colour transformation will be applied"
ds.PhotometricInterpretation = 'ANY'
with pytest.warns(UserWarning, match=msg):
arr = decode_pixel_data(np.frombuffer(frame, 'uint8'), ds)
arr = reshape_pixel_array(ds, arr)
assert arr.flags.writeable
assert 'uint8' == arr.dtype
assert (ds.Rows, ds.Columns) == arr.shape
# Reference values from GDCM handler
assert 76 == arr[5, 50]
assert 167 == arr[15, 50]
assert 149 == arr[25, 50]
assert 203 == arr[35, 50]
assert 29 == arr[45, 50]
assert 142 == arr[55, 50]
assert 1 == arr[65, 50]
assert 64 == arr[75, 50]
assert 192 == arr[85, 50]
assert 255 == arr[95, 50]
def test_invalid_colour_transform(self):
"""Test that an invalid colour transform raises an exception."""
ds_list = get_indexed_datasets('1.2.840.10008.1.2.4.50')
# Image has invalid Se value in the SOS marker segment
ds = ds_list['color3d_jpeg_baseline.dcm']['ds']
data = defragment_data(ds.PixelData)
msg = (r"Unknown error code '-8194' returned from Decode\(\): "
r"Invalid colourTransform value")
with pytest.raises(RuntimeError, match=msg):
decode(np.frombuffer(data, 'uint8'), -1)
def test_non_conformant_raises(self):
"""Test that a non-conformant JPEG image raises an exception."""
ds_list = get_indexed_datasets('1.2.840.10008.1.2.4.51')
# Image has invalid Se value in the SOS marker segment
item = ds_list['JPEG-lossy.dcm']
assert 0xC000 == item['Status'][1]
msg = (r"libjpeg error code '-1038' returned from Decode\(\): A "
r"misplaced marker segment was found - scan start must be zero "
r"and scan stop must be 63 for the sequential operating modes")
with pytest.raises(RuntimeError, match=msg):
item['ds'].pixel_array
def test_extended(self, fname, info):
"""Test get_parameters() for the LS lossy datasets."""
#info: (rows, columns, spp, bps)
index = get_indexed_datasets('1.2.840.10008.1.2.4.81')
ds = index[fname]['ds']
frame = next(self.generate_frames(ds))
params = get_parameters(np.frombuffer(frame, 'uint8'))
assert (info[0], info[1]) == (params['rows'], params['columns'])
assert info[2] == params["nr_components"]
assert info[3] == params["precision"]
def test_non_conformant_raises():
"""Test that a non-conformant JPEG image raises an exception."""
ds_list = get_indexed_datasets('1.2.840.10008.1.2.4.51')
# Image has invalid Se value in the SOS marker segment
item = ds_list['JPEG-lossy.dcm']
assert 0xC000 == item['Status'][1]
ds = item['ds']
nr_frames = ds.get('NumberOfFrames', 1)
frame = next(generate_pixel_data_frame(ds.PixelData, nr_frames))
msg = (
r"libjpeg error code '-1038' returned from GetJPEGParameters\(\): A "
r"misplaced marker segment was found - scan start must be zero "
r"and scan stop must be 63 for the sequential operating modes")
with pytest.raises(RuntimeError, match=msg):
get_parameters(frame)
def test_extended(self, fname, info):
"""Test get_parameters() for the LS lossy datasets."""
#info: (rows, columns, spp, bps)
index = get_indexed_datasets('1.2.840.10008.1.2.4.81')
ds = index[fname]['ds']
frame = next(self.generate_frames(ds))
arr = decode(np.frombuffer(frame, 'uint8'), reshape=True)
if info[2] == 1:
assert (info[0], info[1]) == arr.shape
else:
assert (info[0], info[1], info[2]) == arr.shape
if 1 <= info[3] <= 8:
assert arr.dtype == 'uint8'
if 9 <= info[3] <= 16:
assert arr.dtype == 'uint16'
def test_decode_bytes():
"""Test decode using bytes."""
index = get_indexed_datasets('1.2.840.10008.1.2.4.50')
ds = index['JPEGBaseline_1s_1f_u_08_08.dcm']['ds']
nr_frames = ds.get('NumberOfFrames', 1)
frame = next(generate_pixel_data_frame(ds.PixelData, nr_frames))
arr = decode(frame)
assert arr.flags.writeable
assert 'uint8' == arr.dtype
assert (ds.Rows, ds.Columns) == arr.shape
# Reference values from GDCM handler
assert 76 == arr[5, 50]
assert 167 == arr[15, 50]
assert 149 == arr[25, 50]
assert 203 == arr[35, 50]
assert 29 == arr[45, 50]
assert 142 == arr[55, 50]
assert 1 == arr[65, 50]
assert 64 == arr[75, 50]
assert 192 == arr[85, 50]
assert 255 == arr[95, 50]
def setup(self):
self.ds = get_indexed_datasets(self.uid)
