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cityhash-0.4.2


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توضیحات

Python bindings for CityHash and FarmHash
ویژگی مقدار
سیستم عامل OS Independent
نام فایل cityhash-0.4.2
نام cityhash
نسخه کتابخانه 0.4.2
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Eugene Scherba
ایمیل نویسنده escherba+cityhash@gmail.com
آدرس صفحه اصلی https://github.com/escherba/python-cityhash
آدرس اینترنتی https://pypi.org/project/cityhash/
مجوز MIT
# CityHash/FarmHash Python wrapper for [FarmHash](https://github.com/google/farmhash) and [CityHash](https://github.com/google/cityhash), a family of fast non-cryptographic hash functions. [![Build Status](https://img.shields.io/github/workflow/status/escherba/python-cityhash/build/master)](https://github.com/escherba/python-cityhash/actions/workflows/build.yml) [![Latest Version](https://img.shields.io/pypi/v/cityhash.svg)](https://pypi.python.org/pypi/cityhash) [![Downloads](https://img.shields.io/pypi/dm/cityhash.svg)](https://pypistats.org/packages/cityhash) [![License](https://img.shields.io/pypi/l/cityhash.svg)](https://opensource.org/licenses/mit-license) [![Supported Python versions](https://img.shields.io/pypi/pyversions/cityhash.svg)](https://pypi.python.org/pypi/cityhash) ## Getting Started This simplest way to use this package is to install it from PyPI: ``` bash pip install cityhash ``` This package exposes Python APIs for CityHash and FarmHash under `cityhash` and `farmhash` namespaces, respectively. Each provides 32-, 64- and 128-bit implementations. ## Usage Examples ### Stateless hashing Usage example for FarmHash: ``` python >>> from farmhash import FarmHash32, FarmHash64, FarmHash128 >>> FarmHash32("abc") 1961358185 >>> FarmHash64("abc") 2640714258260161385 >>> FarmHash128("abc") 76434233956484675513733017140465933893 ``` ### Hardware-independent fingerprints Fingerprints are seedless hashes which are guaranteed to be hardware- and platform-independent. This can be useful for networking applications which require persisting hashed values. ``` python >>> from farmhash import Fingerprint128 >>> Fingerprint128("abc") 76434233956484675513733017140465933893 ``` ### Incremental hashing CityHash and FarmHash do not support incremental hashing and thus are not ideal for hashing of streams. If you require incremental hashing feature, use [MetroHash](https://github.com/escherba/python-metrohash) or [xxHash](https://github.com/ifduyue/python-xxhash) instead, which do support it. ### Fast hashing of NumPy arrays The Python [Buffer Protocol](https://docs.python.org/3/c-api/buffer.html) allows Python objects to expose their data as raw byte arrays to other objects, for fast access without copying to a separate location in memory. Among others, NumPy is a major framework that supports this protocol. All hashing functions in this packege will read byte arrays from objects that expose them via the buffer protocol. Here is an example showing hashing of a 4D NumPy array: ``` python >>> import numpy as np >>> from farmhash import FarmHash64 >>> arr = np.zeros((256, 256, 4)) >>> FarmHash64(arr) 1550282412043536862 ``` The arrays need to be contiguous for this to work. To convert a non-contiguous array, use NumPy's `ascontiguousarray()` function. ## SSE4.2 support For x86-64 platforms, the PyPi repository for this package includes wheels compiled with SSE4.2 support. The 32- and 64-bit FarmHash variants significantly benefit from SSE4.2 instructions. The 128-bit version, unfortunately, does not exhibit speed up after compiling with SSE4.2 support. The vanilla CityHash fucntions (under `cityhash` module) do not take advantage of SSE4.2. Instead, the `cityhashcrc` module provided with this package exposes 128- and 256-bit CRC functions which do harness SSE4.2. These functions are very fast, and beat `FarmHash128` on speed (FarmHash does not include a 256-bit function). Since FarmHash is the intended successor of CityHash, I would be careful before using the CityHash-CRC functions, however, and would verify whether they provide sufficient randomness for your intended application. ## Development ### Local workflow For those who want to contribute, here is a quick start using some makefile commands: ``` bash git clone https://github.com/escherba/python-cityhash.git cd python-cityhash make env # create a Python virtualenv make test # run Python tests make cpp-test # run C++ tests make shell # enter IPython shell ``` To find out which Make targets are available, type: ``` bash make help ``` ### Distribution The wheels are built using [cibuildwheel](https://cibuildwheel.readthedocs.io/) and are distributed to PyPI using GitHub actions. The wheels contain compiled binaries and are available for the following platforms: windows-amd64, ubuntu-x86, linux-x86\_64, linux-aarch64, and macosx-x86\_64. ## See Also For other fast non-cryptographic hash functions available as Python extensions, see [MetroHash](https://github.com/escherba/python-metrohash), [MurmurHash](https://github.com/hajimes/mmh3), and [xxHash](https://github.com/ifduyue/python-xxhash). ## Authors The original CityHash Python bindings are due to Alexander \[Amper\] Marshalov. These were rewritten in Cython by Eugene Scherba, who also added the FarmHash bindings. The CityHash and FarmHash algorithms and their C++ implementation are by Google. ## License This software is licensed under the [MIT License](http://www.opensource.org/licenses/mit-license). See the included LICENSE file for details.


زبان مورد نیاز

مقدار نام
>=3.6 Python


نحوه نصب


نصب پکیج whl cityhash-0.4.2:

    pip install cityhash-0.4.2.whl


نصب پکیج tar.gz cityhash-0.4.2:

    pip install cityhash-0.4.2.tar.gz