7 releases (3 stable)
|1.0.3||Oct 4, 2021|
|1.0.2||Sep 23, 2021|
|1.0.0||Aug 29, 2021|
|0.2.2||Aug 25, 2021|
|0.1.1||Aug 25, 2021|
#40 in Compression
43 downloads per month
Currently it is hard to store the state of every single step of a normal Markov Chain Monte Carlo from GerryChain Python or GerryChain Julia. This repo aims to produce an efficient intermediate binary representation of partitions/districting assignments that will enable for generated plans to be saved on-the-fly. Each step is represented as the diff from the previous step, enabling a significant reduction in disk usage per step.
cargo install pcompress pip install pcompress
chain is a normal MarkovChain object and
graph is a normal GerryChain graph.
from pcompress import Record for partition in Record(chain, "pa-run.chain"): # normal chain stuff here
from pcompress import Record for partition in Replay(graph, "pa-run.chain", updaters=my_updaters): # normal chain stuff here