我正在尝试使用Python中zlib的crc32_combine
函数。
虽然有各种其他zlib功能可用,
这个不是“包含电池”标准库的一部分。
我尝试了两种方法:从C代码到Python的端口
用ctypes从Python调用zlib。两者都给我不同的结果,
虽然不是我期待的结果。
我提出了ctypes代码,因为我认为这样执行得更快并且有一个
其他程序员错误的可能性较小。
算法可以combine two CRC32哈希值时的长度 提供第二散列的数据。 crc32_combine定义如下:
crc32(crc32(0, seq1, len1), seq2, len2) == crc32_combine(
crc32(0, seq1, len1), crc32(0, seq2, len2), len2)
这是输出:
Expected CRC: 45E57586
Combined CRC: 567EE4E4
在win32上使用Python 3.5.1运行时,第二行总是不同的。不是Python 2,但结果永远不是我所期望的。将zlib1.dll放在与脚本相同的目录中以进行试用。
import zlib
def crc32_combine_ctypes(crc1, crc2, len2):
import ctypes
from ctypes import util
lib = util.find_library('zlib1')
_zlib = ctypes.CDLL(lib)
assert _zlib._name, "Can't find zlib"
_zlib.crc32_combine.argtypes = [
ctypes.c_ulong, ctypes.c_ulong, ctypes.c_ulong]
_zlib.crc32_combine.restype = ctypes.c_ulong
return _zlib.crc32_combine(crc1, crc2, len2)
testfile = "zlib1.dll"
with open(testfile, "rb") as tf:
data = tf.read()
print("Expected CRC: %0.8X" % (zlib.crc32(data) & 0xFFFFFFFF))
cut = len(data) // 2 - 100
p1 = data[0:cut]
p2 = data[cut:]
crc1 = zlib.crc32(p1)
crc2 = zlib.crc32(p2)
len1 = len(p1)
len2 = len(p2)
combined = crc32_combine_ctypes(crc1, crc2, len2)
print("Combined CRC: %0.8X" % (combined & 0xFFFFFFFF))
我做错了什么?
答案 0 :(得分:3)
eryksun有正确的想法:我使用了一个糟糕的旧DLL。 包含32位dll的最后一个zlib版本包括: https://sourceforge.net/projects/libpng/files/zlib/1.2.8/
我的纯Python代码端口比使用ctypes调用库慢几百倍。 (使用带有1k次迭代和50m作为长度参数的timeit的数字)
31.729 (function provided below)
0.120 (just the _zlib.crc32_combine() call: no library loading included)
纯Python代码:
def crc32_combine(crc1, crc2, len2):
"""Explanation algorithm: https://stackoverflow.com/a/23126768/654160
crc32(crc32(0, seq1, len1), seq2, len2) == crc32_combine(
crc32(0, seq1, len1), crc32(0, seq2, len2), len2)"""
# degenerate case (also disallow negative lengths)
if len2 <= 0:
return crc1
# put operator for one zero bit in odd
# CRC-32 polynomial, 1, 2, 4, 8, ..., 1073741824
odd = [0xedb88320] + [1 << i for i in range(0, 31)]
even = [0] * 32
def matrix_times(matrix, vector):
number_sum = 0
matrix_index = 0
while vector != 0:
if vector & 1:
number_sum ^= matrix[matrix_index]
vector = vector >> 1 & 0x7FFFFFFF
matrix_index += 1
return number_sum
# put operator for two zero bits in even - gf2_matrix_square(even, odd)
even[:] = [matrix_times(odd, odd[n]) for n in range(0, 32)]
# put operator for four zero bits in odd
odd[:] = [matrix_times(even, even[n]) for n in range(0, 32)]
# apply len2 zeros to crc1 (first square will put the operator for one
# zero byte, eight zero bits, in even)
while len2 != 0:
# apply zeros operator for this bit of len2
even[:] = [matrix_times(odd, odd[n]) for n in range(0, 32)]
if len2 & 1:
crc1 = matrix_times(even, crc1)
len2 >>= 1
# if no more bits set, then done
if len2 == 0:
break
# another iteration of the loop with odd and even swapped
odd[:] = [matrix_times(even, even[n]) for n in range(0, 32)]
if len2 & 1:
crc1 = matrix_times(odd, crc1)
len2 >>= 1
# if no more bits set, then done
# return combined crc
crc1 ^= crc2
return crc1