本文整理汇总了Python中audiotools.bitstream.BitstreamReader.read_huffman_code方法的典型用法代码示例。如果您正苦于以下问题：Python BitstreamReader.read_huffman_code方法的具体用法？Python BitstreamReader.read_huffman_code怎么用？Python BitstreamReader.read_huffman_code使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类audiotools.bitstream.BitstreamReader的用法示例。
在下文中一共展示了BitstreamReader.read_huffman_code方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: ALACDecoder
# 需要导入模块: from audiotools.bitstream import BitstreamReader [as 别名]
# 或者: from audiotools.bitstream.BitstreamReader import read_huffman_code [as 别名]
#.........这里部分代码省略.........
residuals.append(-((unsigned + 1) // 2))
else:
residuals.append(unsigned // 2)
# update history based on unsigned residual
if unsigned <= 0xFFFF:
history += ((unsigned * self.history_multiplier) -
((history * self.history_multiplier) >> 9))
else:
history = 0xFFFF
# if history gets too small, we may have a block of 0 samples
# which can be compressed more efficiently
if (history < 128) and ((i + 1) < sample_count):
zeroes_k = min(7 -
log2(history) +
((history + 16) // 64),
self.maximum_k)
zero_residuals = self.read_residual(zeroes_k, 16)
if zero_residuals > 0:
residuals.extend([0] * zero_residuals)
i += zero_residuals
history = 0
if zero_residuals <= 0xFFFF:
sign_modifier = 1
i += 1
return residuals
def read_residual(self, k, sample_size):
msb = self.reader.read_huffman_code(RESIDUAL)
if msb == -1:
return self.reader.read(sample_size)
elif k == 0:
return msb
else:
lsb = self.reader.read(k)
if lsb > 1:
return msb * ((1 << k) - 1) + (lsb - 1)
elif lsb == 1:
self.reader.unread(1)
return msb * ((1 << k) - 1)
else:
self.reader.unread(0)
return msb * ((1 << k) - 1)
def decode_subframe(self, qlp_shift_needed, qlp_coefficients,
sample_size, residuals):
# first sample is always copied verbatim
samples = [residuals.pop(0)]
if len(qlp_coefficients) < 31:
# the next "coefficient count" samples
# are applied as differences to the previous
for i in range(len(qlp_coefficients)):
samples.append(truncate_bits(samples[-1] + residuals.pop(0),
sample_size))
# remaining samples are processed much like LPC
for residual in residuals:
base_sample = samples[-len(qlp_coefficients) - 1]
lpc_sum = sum([(s - base_sample) * c for (s, c) in
zip(samples[-len(qlp_coefficients):],