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applications/algorithms/machinery/src/main/java/org/neo4j/gds/applications/algorithms/machinery/StatsResultBuilder.java

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import java.util.Optional;
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/**
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* This builder supports any type of result you could want to build - famous last words.
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* The idea is, you specialise it for use cases, and the wide parameter lists functions like a union type
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* , so not every implementation will make use of every parameter, but the abstraction covers all.
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* In-layer generic usage includes injecting the Graph, hence it is a parameter to the build method.
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* Out-layer would be injecting custom dependencies as part of a constructor in the implementing class.
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* An example could be a boolean determined at runtime, governing which bits of data to output.
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*/
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public interface StatsResultBuilder<CONFIGURATION, RESULT_FROM_ALGORITHM, RESULT_TO_CALLER> {
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/**
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* You implement this and use as much or as little of the gathered data as is appropriate.

applications/algorithms/machinery/src/main/java/org/neo4j/gds/applications/algorithms/machinery/StreamResultBuilder.java

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import java.util.Optional;
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import java.util.stream.Stream;
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/**
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* This builder supports any type of result you could want to build - famous last words.
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* The idea is, you specialise it for use cases, and the wide parameter lists functions like a union type
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* , so not every implementation will make use of every parameter, but the abstraction covers all.
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* In-layer generic usage includes injecting the Graph, hence it is a parameter to the build method.
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* Out-layer would be injecting custom dependencies as part of a constructor in the implementing class.
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* An example could be a boolean determined at runtime, governing which bits of data to output.
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*/
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public interface StreamResultBuilder<CONFIGURATION, RESULT_FROM_ALGORITHM, RESULT_TO_CALLER> {
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/**
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* You implement this and use as much or as little of the gathered data as is appropriate.

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