def test_accidental_combine(self):
rle = [
codec.RunLength(value=0, length=14),
codec.RunLength(value=31, length=0)
]
invert = codec.decode_run_length(rle, 15)
rle_2 = codec.run_length_coding(invert, max_len=0xF)
self.assertEqual(rle, rle_2)
def test_rle_max_double(self):
arr = [-1, 0, 0, 0, 0, 1, 2]
rle = codec.run_length_coding(np.array(arr), max_len=4)
invert = codec.decode_run_length(rle, len(arr))
self.assertEqual(arr, invert)
def test_rle_break_plus_1(self):
arr = [0, 0, 0, 0, 0, 1]
rle = codec.run_length_coding(np.array(arr), max_len=4)
invert = codec.decode_run_length(rle, len(arr))
self.assertEqual(invert, arr)
def test_rle_random(self):
arr = [np.random.randint(-5, 5) for _ in range(10000)]
rle = codec.run_length_coding(np.array(arr))
invert = codec.decode_run_length(rle, 10000)
self.assertEqual(invert, arr)
def test_rle_consecutives(self):
arr = [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0]
rle = codec.run_length_coding(np.array(arr))
invert = codec.decode_run_length(rle, len(arr))
self.assertEqual(invert, arr)
def test_rle_max_len(self):
arr = [0, 0, 0, 0, 0, 1]
rle = codec.run_length_coding(np.array(arr))
invert = codec.decode_run_length(rle, len(arr))
self.assertEqual(arr, invert)
def test_zero_block_reconstruct(self):
matrix = np.array([[0, 0, 11, 0], [0, 0, 0, 0]])
lin = transform.zigzag(matrix)
out = codec.run_length_coding(lin)
invert = codec.decode_run_length(out, 8)
self.assertEqual(lin, invert)