معرفی شرکت ها


cityhash-0.4.7


Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

توضیحات

Python bindings for CityHash and FarmHash
ویژگی مقدار
سیستم عامل -
نام فایل cityhash-0.4.7
نام cityhash
نسخه کتابخانه 0.4.7
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/actions/workflow/status/escherba/python-cityhash/build.yml?branch=master)](https://github.com/escherba/python-cityhash/actions/workflows/build.yml) [![PyPI Version](https://img.shields.io/pypi/v/cityhash.svg)](https://pypi.python.org/pypi/cityhash) [![Conda-Forge Version](https://anaconda.org/conda-forge/python-cityhash/badges/version.svg)](https://anaconda.org/conda-forge/python-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 To install from PyPI: ``` bash pip install cityhash ``` To install in a Conda environment: ``` bash conda install -c conda-forge python-cityhash ``` The 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 that 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 character streams. If you require incremental hashing, consider another hashing library, such as [MetroHash](https://github.com/escherba/python-metrohash) or [xxHash](https://github.com/ifduyue/python-xxhash). ### Fast hashing of NumPy arrays The [Buffer Protocol](https://docs.python.org/3/c-api/buffer.html) allows Python objects to expose their data as raw byte arrays for fast access without having to copy to a separate location in memory. NumPy is one well-known library that extensively uses this protocol. All hashing functions in this package will read byte arrays from objects that expose them via the buffer protocol. Here is an example showing hashing of a four-dimensional NumPy array: ``` python >>> import numpy as np >>> from farmhash import FarmHash64 >>> arr = np.zeros((256, 256, 4)) >>> FarmHash64(arr) 1550282412043536862 ``` The NumPy 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 (but not the 128-bit) variants of FarmHash significantly benefit from SSE4.2 instructions. The vanilla CityHash functions (under `cityhash` module) do not take advantage of SSE4.2. Instead, one can use the `cityhashcrc` module provided with this package which exposes 128- and 256-bit CRC functions that 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 wanting to contribute, here is a quick start using Make commands: ``` bash git clone https://github.com/escherba/python-cityhash.git cd python-cityhash make env # create a virtual environment make test # run Python tests make cpp-test # run C++ tests make shell # enter IPython shell ``` To find out which Make targets are available, enter: ``` bash make help ``` ### Distribution The package 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. They 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-0.4.7:

    pip install cityhash-0.4.7.whl


نصب پکیج tar.gz cityhash-0.4.7:

    pip install cityhash-0.4.7.tar.gz