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Step 1 Run Script

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Step 1 Run Script is Execute the script to profile the critical_assignment_code function..

2 facts·2 predicates·2 sources
Maturity scale raw canonical shape-checked rule-derived certified

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hasStepHas Step(2)

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2 facts
PredicateValueRef
DescriptionExecute the script to profile the critical_assignment_code function.[1]
Rdf:typeAction Step[2]

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descriptionbeam/6c944218-d8f2-4bb1-8710-28b70426c1b1
Execute the script to profile the critical_assignment_code function.
typebeam/b2477008-89d3-4d9e-be20-8956d3c6ed78
ex:ActionStep

References (2)

2 references
  1. ctx:claims/beam/6c944218-d8f2-4bb1-8710-28b70426c1b1
    • full textbeam-chunk
      text/plain1 KBdoc:beam/6c944218-d8f2-4bb1-8710-28b70426c1b1
      Show excerpt
      stats.print_stats() end_time = datetime.datetime.now() latency = calculate_latency(start_time, end_time) print(f"Latency: {latency} hours") if __name__ == "__main__": main() ``` ### Steps to Follow 1. **Run the Scrip
  2. ctx:claims/beam/b2477008-89d3-4d9e-be20-8956d3c6ed78
    • full textbeam-chunk
      text/plain992 Bdoc:beam/b2477008-89d3-4d9e-be20-8956d3c6ed78
      Show excerpt
      - Consider increasing the batch size or the number of workers to improve throughput. ### Example Output Here's an example of what the output might look like: ``` Processed 50 queries with 5 workers in 0.50 seconds Processed 50 queries

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