Python CRC Computation Library
Project description
This is a Cython module with bindings to the crcany library. It supports calculating CRC hashes of arbitary sizes as well as updating a crc hash over time. It takes advantage of crcany's ability to efficiently combine multiple CRCs to parallelize the CRC's calculation.
Installation
pip install anycrc
Usage
Use an existing model:
>>> import anycrc
>>> crc32 = anycrc.Model('CRC32')
>>> crc32.calc(b'Hello World!')
472456355
Read the data in chunks:
>>> crc32.update(b'Hello ')
3928882368
>>> crc32.update(b'World!')
472456355
The update
method changes the internally stored CRC value, while calc
doesn't. To go back to the initial value, use:
>>> crc32.reset()
Specify the starting CRC value:
>>> crc32.set(3928882368)
>>> crc32.calc('World!')
472456355
Specify your own CRC parameters:
>>> # width, poly, init, refin, refout, xorout
>>> my_crc = anycrc.CRC(10, 0b0101010101, 0x3ff, True, False, 0)
>>> my_crc.calc('Hello World!')
35
The CRC will be computed in parallel when the input is large enough. If you want to disable parallelism, use:
>>> anycrc.set_parallel(False)
The CRC's width cannot exceed your system's maximum integer width.
For a list of pre-built models, check models.py. To get a list of the models at any time, use the following command:
python -m anycrc models
Benchmarks
Calculating the CRC32 for lorem ipsum 1 million times:
Module | Time Elapsed (s) | Speed (GiB/s) | Relative |
---|---|---|---|
anycrc | 0.22 | 1.91 | 1.00 |
zlib | 0.28 | 1.47 | 1.28 |
fastcrc | 0.80 | 0.52 | 3.66 |
crcmod-plus | 0.91 | 0.46 | 4.13 |
Calculating the CRC32 for the text of lorem ipsum repeated 1 million times in a single pass:
Module | Time Elapsed (s) | Speed (GiB/s) | Relative |
---|---|---|---|
anycrc (parallel) | 0.02 | 23.16 | 1.00 |
anycrc (serial) | 0.20 | 2.08 | 11.15 |
zlib | 0.22 | 1.92 | 12.05 |
fastcrc | 0.68 | 0.61 | 37.89 |
crcmod-plus | 0.67 | 0.62 | 37.40 |
Tested on a 12th generation Intel i7 processor. Parallel performance will depend on your system.
Notes
- Parallelism is disabled when the length of the input data is under 20k, as the serial method is faster in that case.
- The macOS build only supports the serial version.
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