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Project Description

The buckshot library contains multiprocessing functions designed to help developers create distributed applications quickly.

Installation

The easiest way to install buckshot is via pip:

$ pip install buckshot

Usage

Currently, there are two ways of leveraging buckshot to distribute work across processes: the @distribute decorator and with distributed(...) context manager.

The following example shows how we can distibute the work of calculating many harmonic sum values across processes.

Serial Approach

import fractions

def harmonic_sum(x):
    F = fractions.Fraction
    return sum(F(1, d) for d in xrange(1, x + 1))

for value in range(1, 100):
    result = harmonic_sum(value)
    print result

Using @distribute

import fractions

from buckshot import distribute

@distribute(processes=4)
def harmonic_sum(x):
    F = fractions.Fraction
    return sum(F(1, d) for d in xrange(1, x + 1))

for result in harmonic_sum(range(1, 100)):  # Pass in values list.
    print result

Using with distributed(...)

import fractions

from buckshot import distributed

def harmonic_sum(x):
    F = fractions.Fraction
    return sum(F(1, d) for d in xrange(1, x + 1))

with distributed(harmonic_sum, processes=4) as distributed_harmonic_sum:
    for result in distributed_harmonic_sum(range(1, 100)):
        print result

All processes are destroyed when inputs are exhausted and/or the context is exited.

Known Issues

  • Function inputs must be picklable.
  • Function outputs must be picklable.
  • If a child process is killed externally, buckshot will block forever waiting for results.
  • This uses os.fork() under the hood, so there is a risk of rapidly exhausting memory.

LICENSE

Read the LICENSE file for details.

Release History

Release History

0.0.10

This version

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0.0.9

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0.0.8

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0.0.7

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0.0.6

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0.0.5

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0.0.4

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0.0.3

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0.0.2

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0.0.1

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Download Files

Download Files

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
buckshot-0.0.10.tar.gz (10.0 kB) Copy SHA256 Checksum SHA256 Source Sep 7, 2016

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