You can install bw_graph_tools via [pip] from [PyPI]:
$ pip install bw_graph_toolsPackages are also on conda at the channel cmutel.
bw_graph_tools has three main components: A graph traversal class NewNodeEachVisitGraphTraversal; a function to guess production exchanges using only bw_processing datapackages guess_production_exchanges; and a function to find the path from node A to node B with the largest amount of the reference product of A, get_path_from_matrix and it's sister path_as_brightway_objects.
Normally we construct matrices and solve the resulting set of linear equations to get a life cycle inventory or impact assessment result. The matrix approach is elegant, in that it simultaneously solves all equations and handles cycles in the graph, and much faster than graph traversal. However, in some cases we want to actually traverse the supply chain graph and calculate the individual impact of visiting nodes at that point in the graph. Graph traversal's use cases include:
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Distinguishing between different paths to the same object
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Convolving temporal distributions
If we add temporal information using bw_temporalis, then the same node can occur at different times depending on how the temporal dynamics its preceding path. For example:
Contributions are very welcome. To learn more, see the [Contributor Guide].
Distributed under the terms of the [BSD 3 Clause license][license], bw_graph_tools is free and open source software.
If you encounter any problems, please [file an issue] along with a detailed description.
- Install the conda environment from the file
.docs/environment.yml - Build the documentation locally by running:
sphinx-autobuild docs _build/html -a -j auto --open-browser