fmmh3 0.0.1

C implementation of MurmurHash3 for Python.

FastMurmurHash3

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fmmh3 is a Python extension module developed using a mix of C language and Cython. It wraps the C language MurmurHash3 hash function, making it available for use in Python. Compared to the pure Python version of MurmurHash3, fmmh3 is several tens to hundreds of times faster. Compared to another C language implementation, the mmh3 library, fmmh3 is 1-2.5 times faster in processing medium and small texts.

Installation

Using pip

pip install fmmh3

Using Poetry

poetry add fmmh3

Benchmark Tests

We compared the performance of fmmh3, the pure Python version of MurmurHash3, and the mmh3 library bound with ctypes. Here are our test results:

Byte String Length	MurmurHash3 (Python)	mmh3	fmmh3
1	1x	6.27x	15.62x
10	1x	9.43x	23.08x
512	1x	197x	373x
1000	1x	324x	538x

When the byte string size is greater than 1kb, the Python version of the algorithm exceeds the test time. Therefore, we excluded the Python version of the test in data above 1kb. Here is the speed difference between mmh3 and fmmh3:

Byte String Length	mmh3	fmmh3
1	1x	2.51x
10	1x	2.44x
100	1x	2.36x
512	1x	1.90x
1000	1x	1.65x
5000	1x	1.18x
10000	1x	1.09x

As we can see, fmmh3 has a significant performance advantage.

Function Usage

fmmh3 provides three functions to calculate MurmurHash3 hash values: hash32_x86, hash128_x86, and hash128_x64:

from fmmh3 import hash32_x86, hash128_x86, hash128_x64

key = b"hello world"
seed = 0

hash32_value = hash32_x86(key, seed)
hash128_x86_value = hash128_x86(key, seed)
hash128_x64_value = hash128_x64(key, seed)

The function returns a hash value integer. key is the byte string to calculate the hash value, and seed is the hash seed, usually a prime number.

Author

This project was developed by Dream2333.

The MurmurHash algorithm was originally proposed by Austin Appleby.

The C version of the algorithm comes from PeterScott.

The Python version used in the benchmark test comes from wc-duck.

Contribution

If you want to contribute to this project, you can:

• Report issues or suggest improvements on GitHub.
• Submit pull requests to fix issues or add new features.
• Share this project to let more people know about it.

License

This project is licensed under the MIT license.