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from collections.abc import Iterable |
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import graphs |
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import networkx as nx |
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import graphinate |
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from graphinate.materializers import Materializers |
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def model(iterable: Iterable[nx.Graph]) -> graphinate.GraphModel: |
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""" |
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Generate a graph model based on the provided iterable of graphs. |
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The function creates a graph model named 'Graph Atlas' using the 'graphinate' library. |
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It then combines all the graphs from the input iterable into a single disjoint union graph using NetworkX library. |
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The function defines edges for the combined graph by iterating over all edges in the disjoint union graph and |
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yielding dictionaries with 'source' and 'target' keys representing the edge connections. |
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Finally, the function yields the created graph model containing the combined graph with defined edges. |
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Args: |
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iterable: An iterable containing graphs to be combined into a single graph model. |
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Yields: |
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GraphModel: A graph model containing the combined graph with defined edges. |
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""" |
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graph_model = graphinate.model('Graph Atlas') |
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@graph_model.edge() |
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def edge(): |
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for e in nx.disjoint_union_all(g for _, g in iterable).edges: |
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yield {'source': e[0], 'target': e[1]} |
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return graph_model |
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if __name__ == '__main__': |
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from gui import listbox_chooser, radiobutton_chooser |
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graph_atlas = graphs.atlas() |
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choices = listbox_chooser('Choose Graph', graph_atlas) |
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model = model(choices) |
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# or |
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# model(graph_atlas.values()) |
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result = radiobutton_chooser('Choose Materializer', |
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options={m.name: m.value for m in Materializers}, |
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default=(None, None)) |
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builder, handler = result[1] |
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graphinate.materialize(model, builder=builder, builder_output_handler=handler) |
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erivlis /
graphinate
