def test_np_imagesrouce_rt():
shape = (13, 17)
test_data = np.array([np.ones(shape) * j for j in range(11)])
np_snk = NPImageSink()
with np_snk as snk:
for j in range(11):
snk.record_frame(test_data[j], j, {'md': j})
np_src = np_snk.make_source()
with np_src as src:
for j in range(11):
assert_true(np.all(src.get_frame(j) == j))
assert_array_equal(src.get_frame(j), test_data[j])
assert_equal(src.get_frame_metadata(j, 'md'), j)
def _check_binary_op(op, tool, a, b):
# set up constant arrays as testing sources, use floats
srcA = NPImageSource(a * np.ones(_shape, dtype=np.float))
srcB = NPImageSource(b * np.ones(_shape, dtype=np.float))
# set up a sink
snkC = NPImageSink()
# init the tool and assign input/output
T = tool()
T.A = srcA
T.B = srcB
T.out = snkC
# run the tool
T.run()
# compute what the answer should be
c = op(a, b)
# make and activate a source from the sink
with snkC.make_source() as C:
# loop over the output and check each frame
for j in range(_shape[0]):
# assert that all of the entries are equal
# to the 'true' result
assert_true(np.all(c == C.get_frame(j)))
def _check_binary_op(op, tool, a, b):
# set up constant arrays as testing sources, use floats
srcA = NPImageSource(a * np.ones(_shape, dtype=np.float))
srcB = NPImageSource(b * np.ones(_shape, dtype=np.float))
# set up a sink
snkC = NPImageSink()
# init the tool and assign input/output
T = tool()
T.A = srcA
T.B = srcB
T.out = snkC
# run the tool
T.run()
# compute what the answer should be
c = op(a, b)
# make and activate a source from the sink
with snkC.make_source() as C:
# loop over the output and check each frame
for j in range(_shape[0]):
# assert that all of the entries are equal
# to the 'true' result
assert_true(np.all(c == C.get_frame(j)))
