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Snakemake workflow #14
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This reverts commit 7b79c63.
Use scripts in original ('./scripts') location Rules to stay in ./workflow Merge two config files into config.json Set data and output directories by config, not wildcard
Use parquet for input files for runtime reduction
Per-chunk loading of input data (networks, flows) now uses more modern file formats. Networks no longer recreated for each failed edge. Rather copied from a master, then an edge is deleted. These improvements give ~2x speedup. Updated pandas groupby usage to recent API.
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An attempt to wrap the existing model code in a light-touch snakemake workflow. Should make it easier to reproduce analysis results in the future.
Factoring out library code into local package and trying to clean up formatting, imports, etc. as I go.
Rules written:
To-do notes:
transport_failure_flow_allocation
is the exhaustive transport rerouting rule. It's a thin wrapper of thetransport_failure_scenario_setup.py
script and invokes multiple instances oftransport_failure_analysis.py
which currently consumes on the order 70GB RAM. Each network flow allocation (usingigraph_scenario_edge_failures
) takes a good few seconds. Need to parallelise otherwise network with ~108k edges will take several weeks to run (or otherwise reduce set of edges to fail).