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Representation Scorer (RSX) serves as a centralized scoring system, offering SimClusters or other embedding-based scoring solutions as machine learning features.
21 lines
535 B
Python
21 lines
535 B
Python
create_thrift_libraries(
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base_name = "thrift",
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sources = [
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"com/twitter/representationscorer/service.thrift",
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],
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platform = "java8",
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tags = [
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"bazel-compatible",
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],
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dependency_roots = [
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"src/thrift/com/twitter/simclusters_v2:simclusters_v2-thrift",
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],
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generate_languages = [
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"java",
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"scala",
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"strato",
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],
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provides_java_name = "representationscorer-service-thrift-java",
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provides_scala_name = "representationscorer-service-thrift-scala",
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)
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