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Project Description

pyconsensus is a standalone Python implementation of Augur’s consensus mechanism. For details, please see the Augur whitepaper.

Installation

The easiest way to install pyconsensus is to use pip:

$ pip install pyconsensus

Usage

To use pyconsensus, import the Oracle class:

from pyconsensus import Oracle

# Example report matrix:
#   - each row represents a reporter
#   - each column represents an event in a prediction market
my_reports = [[0.2, 0.7,  1,  1],
              [0.3, 0.5,  1,  1],
              [0.1, 0.7,  1,  1],
              [0.5, 0.7,  2,  1],
              [0.1, 0.2,  2,  2],
              [0.1, 0.2,  2,  2]]
reputation = [1, 2, 10, 9, 4, 2]
my_event_bounds = [
    {"scaled": True, "min": 0.1, "max": 0.5},
    {"scaled": True, "min": 0.2, "max": 0.7},
    {"scaled": False, "min":  1, "max": 2},
    {"scaled": False, "min":  1, "max": 2},
]

oracle = Oracle(reports=my_reports,
                reputation=reputation,
                event_bounds=my_event_bounds)
oracle.consensus()

Tests

Unit tests are in the test/ directory.

pyconsensus is used in conjunction with the Augur Simulator to carry out randomized numerical (Monte Carlo) consensus tests. See the Simulator repository for details.

Release History

Release History

0.5.8

This version

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0.5.7

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0.5.6

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0.5.4

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0.5.3

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0.5.2

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0.5.1

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0.5

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0.4.1

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0.4

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0.3

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0.2.3

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0.2.2

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0.2.1

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0.2

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0.1.6

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0.1.5

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0.1.4

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0.1.2

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0.1.1

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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
pyconsensus-0.5.8.tar.gz (23.5 kB) Copy SHA256 Checksum SHA256 Source Jun 26, 2015

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