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Fast bytes and bytearray processing functions

Project description

Authors:

Michael Griffin

Version:
2.0.0 for 2020-04-03
License:

This document may be distributed under the Apache 2.0 License.

Language:

Python 3.5 or later


Introduction

The BytesFunc module provides high speed array processing functions for use with Python ‘bytes’ and ‘bytearray’ objects. These functions are patterned after the functions in the standard Python “operator” module together with some additional ones from other sources.

The purpose of these functions is to perform mathematical calculations on “bytes” and “bytearray” objects significantly faster than using native Python.


Function Summary

The compare operators used for ‘ball’, ‘bany’, and ‘findindex’ are examples only, and other compare operations are available. Many functions will accept other parameter combinations of sequences and numeric parameters. See the details for each function for what parameter combinations are valid.

Brief Description

Function

Equivalent to

and_

Perform a bitwise AND across the sequence.

ball

True if all elements of the sequence meet the match criteria.

bany

True if any elements of the sequence meet the match criteria.

bmax

Return the maximum value in the sequence.

bmin

Return the minimum value in the sequence.

bsum

Return the sum of the sequence.

eq

True if all elements of the sequence equal the compare value.

findindex

Returns the index of the first value in an array to meet the specified criteria.

ge

True if all elements of the sequence are greater than or equal to the compare value.

gt

True if all elements of the sequence are greater than the compare value.

invert

Perform a bitwise invert across the sequence.

le

True if all elements of the sequence are less than or equal to the compare value.

lshift

Perform a bitwise left shift across the sequence.

lt

True if all elements of the sequence are less than the compare value.

ne

True if all elements of the sequence are not equal the compare value.

or_

Perform a bitwise OR across the sequence.

rshift

Perform a bitwise right shift across the sequence.

xor

Perform a bitwise XOR across the sequence.

Python Equivalent

Function

Equivalent to

and_

[x & param for x in sequence1]

ball

all([(x > param) for x in array])

bany

any([(x > param) for x in array])

bmax

max(sequence)

bmin

min(sequence)

bsum

sum(sequence)

eq

all([x == param for x in sequence])

findindex

[x for x,y in enumerate(array) if y > param][0]

ge

all([x >= param for x in sequence])

gt

all([x > param for x in sequence])

invert

[~x for x in sequence1]

le

all([x <= param for x in sequence])

lshift

[x << param for x in sequence1]

lt

all([x < param for x in sequence])

ne

all([x != param for x in sequence])

or_

[x | param for x in sequence1]

rshift

[x >> param for x in sequence1]

xor

[x ^ param for x in sequence1]


Supported Sequence Types

BytesFunc supports Python native “bytes” and “bytearray” objects.


Performance

Average performance increase on x86_64 Ubuntu with GCC is 600 times faster than native Python. Performance will vary depending on the function, with the performance increase ranging from 7 times to 1500 times.

Other platforms show similar improvements.

Detailed performance figures are listed in the full documentation.


Platform support

BytesFunc is written in ‘C’ and uses the standard C libraries to implement the underlying math functions. BytesFunc has been tested on the following platforms.

OS

Bits

Compiler

Python Version Tested

Ubuntu 18.04 LTS

64 bit

GCC

3.6

Ubuntu 19.10

64 bit

GCC

3.7

Ubuntu 20.04 beta

64 bit

GCC

3.8

Debian 10

32 bit

GCC

3.7

Debian 10

64 bit

GCC

3.7

OpenSuse 15

64 bit

GCC

3.6

Centos 8

64 bit

GCC

3.6

FreeBSD 12

64 bit

LLVM

3.7

OpenBSD 6.5

64 bit

LLVM

3.6

MS Windows 10

64 bit

MS Visual Studio C 2015

3.8

Raspbian (RPi 3)

32 bit

GCC

3.7

Ubuntu 19.10 ARM

64 bit

GCC

3.7

  • The Raspbian (RPi 3) tests were conducted on a Raspberry Pi 3 ARM CPU running in 32 bit mode.

  • The Ubuntu ARM tests were conducted on a Raspberry Pi 3 ARM CPU running in 64 bit mode.

  • All others were conducted using VMs running on x86 hardware.


Installation

Please note that this is a Python 3 package. To install using Pip, you will need (with Debian package in brackets):

  • The appropriate C compiler and header files (gcc and build-essential).

  • The Python3 development headers (python3-dev).

  • Pip3 together with the corresponding Setuptools (python3-pip).

example:

# Install from PyPI.
pip3 install arrayfunc
# Install from a local copy of the source package (Linux).
pip3 install --no-index --find-links=. arrayfunc
# Windows seems to use "pip" instead of "pip3" for some reason.
pip install arrayfunc

Release History

  • 2.0.0 - Added SIMD support for ARMv8 AARCH64. This is 64 bit ARM on a

    Raspberry Pi3 when running 64 bit Ubuntu. Raspbian is 32 bit only and has 64 bit SIMD vectors. 64 bit ARM has 128 bit SIMD vectors and so offers improved performance.

  • 1.0.0 - First release.

Project details


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