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The old version was failing to build here.
Simulates decompressing data in parallel.
Simulates doing some work with the decompressed data, then generates a random beta value.
This allows us to either discard a message and process a new column, or use the message to compute the global value, then process a new column.
This means we don't have to worry about managing the lifetime of the decompressed data through the flowgraph.
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Adds a new graph which decompresses and computes beta in parallel, then forwards the results to a decision node. If the beta is within the accepted range, forward it for further computation.