Standalone implementation of Augur's consensus mechanism
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.
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