def test_rle():
results = np.empty(1000000, dtype=np.int32)
with open(os.path.join(here, 'rle')) as f:
for i, l in enumerate(f):
if i > count:
break
data, head, width, res = eval(l)
i = encoding.Numpy8(np.frombuffer(memoryview(data), dtype=np.uint8))
o = encoding.Numpy32(results)
encoding.read_rle(i, head, width, o)
assert (res == o.so_far()).all()
def test_rle():
results = np.empty(1000000, dtype=np.int32)
with open(os.path.join(here, 'rle')) as f:
for i, l in enumerate(f):
if i > count:
break
data, head, width, res = eval(l)
i = encoding.Numpy8(np.frombuffer(util.byte_buffer(data), dtype=np.uint8))
o = encoding.Numpy32(results)
encoding.read_rle(i, head, width, o)
assert (res == o.so_far()).all()
def test_rle():
results = np.empty(1000000, dtype=np.int32)
with open(os.path.join(TEST_DATA, 'rle')) as f:
for i, l in enumerate(f):
if i > count:
break
data, head, width, res = eval(l)
i = encoding.NumpyIO(data)
o = encoding.NumpyIO(results.view('uint8'))
encoding.read_rle(i, head, width, o, itemsize=4)
out = np.frombuffer(o.so_far(), dtype='int32')
assert (res == out).all()