Dontopedia

process_texts_in_parallel

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)

process_texts_in_parallel has 19 facts recorded in Dontopedia across 2 references, with 3 live disagreements.

19 facts·13 predicates·2 sources·3 in dispute

Mostly:has step(3), purpose(2), uses(2)

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Inbound mentions (2)

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Other facts (18)

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typebeam/449c3497-7bf6-4f4c-9327-9e55d9760075
ex:Function
labelbeam/449c3497-7bf6-4f4c-9327-9e55d9760075
process_texts_in_parallel
describedInbeam/449c3497-7bf6-4f4c-9327-9e55d9760075
ex:parallel-execution-section
purposebeam/449c3497-7bf6-4f4c-9327-9e55d9760075
ex:process-texts-in-parallel
usesbeam/449c3497-7bf6-4f4c-9327-9e55d9760075
ex:thread-pool-executor
performsbeam/449c3497-7bf6-4f4c-9327-9e55d9760075
ex:text-splitting
performsbeam/449c3497-7bf6-4f4c-9327-9e55d9760075
ex:result-collection
splitsDatabeam/449c3497-7bf6-4f4c-9327-9e55d9760075
ex:text-batches
collectsFrombeam/449c3497-7bf6-4f4c-9327-9e55d9760075
ex:futures
hasStepbeam/449c3497-7bf6-4f4c-9327-9e55d9760075
ex:text-batch-splitting
hasStepbeam/449c3497-7bf6-4f4c-9327-9e55d9760075
ex:batch-submission
hasStepbeam/449c3497-7bf6-4f4c-9327-9e55d9760075
ex:result-collection
splitsbeam/09328a61-37c3-4af1-a981-2afdd948ccb2
ex:texts-into-batches
usesbeam/09328a61-37c3-4af1-a981-2afdd948ccb2
ex:thread-pool-executor
submitsbeam/09328a61-37c3-4af1-a981-2afdd948ccb2
ex:batch-to-executor
collectsbeam/09328a61-37c3-4af1-a981-2afdd948ccb2
ex:results-from-futures
followsbeam/09328a61-37c3-4af1-a981-2afdd948ccb2
ex:batch-processing-section
purposebeam/09328a61-37c3-4af1-a981-2afdd948ccb2
parallel-text-processing
uses-classbeam/09328a61-37c3-4af1-a981-2afdd948ccb2
ex:thread-pool-executor-class

References (2)

2 references
  1. ctx:claims/beam/449c3497-7bf6-4f4c-9327-9e55d9760075
    • full textbeam-chunk
      text/plain1 KBdoc:beam/449c3497-7bf6-4f4c-9327-9e55d9760075
      Show excerpt
      4. **Batch Processing**: - Define `process_batch` to process a batch of texts using `nlp.pipe`. 5. **Parallel Execution**: - Define `process_texts_in_parallel` to process texts in parallel using `ThreadPoolExecutor`. - Split the t
  2. ctx:claims/beam/09328a61-37c3-4af1-a981-2afdd948ccb2
    • full textbeam-chunk
      text/plain1 KBdoc:beam/09328a61-37c3-4af1-a981-2afdd948ccb2
      Show excerpt
      print(f"Processed {len(test_texts)} queries in {end_time - start_time:.2f} seconds") # Get the current memory snapshot snapshot = tracemalloc.take_snapshot() # Print the top 10 memory blocks top_stats = snapshot.statistics('lineno') for s

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