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Time Measurement

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

Time Measurement has 100 facts recorded in Dontopedia across 50 references, with 17 live disagreements.

100+ facts·34 predicates·50 sources·17 in dispute

Mostly:rdf:type(21), rdfs:label(14), measures(12)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Rdfs:labelin disputerdfs:label

  • Processing time measurement[37]all time · 6d530de5 E717 4448 9410 Cc50786f11ab
  • Execution time tracking[24]all time · 731b8e8a 1f12 4ab1 A853 9852e66bc19e
  • Time Measurement[38]all time · C74e97dd 23f2 45e9 9ec1 958b9896a948
  • Response Time Measurement[39]all time · 0b0e3d9f 0f06 4562 A8ee 1d3f71c4c557
  • time measurement[40]all time · 202a3697 E562 4fba Bbf7 Cecbb06b3cd0
  • Time measurement[12]all time · 254ab7fb A202 4309 9ebc Dfb2af81e28e
  • time module import[41]all time · Ed0c9925 Bf5e 4f1a 90a8 43854021cb01
  • vectorization time measurement[8]all time · D939bb43 2e1e 4bc3 9129 9e66e391f920
  • Execution time measurement[42]all time · 611cfdff 6ffd 4590 A321 D56e5ade490e
  • Time Measurement[43]all time · Df7c58f3 Fbec 47d0 9088 2916d03b14b6

Measuresin disputemeasures

Precisionin disputeprecision

  • microseconds[34]all time · 2cfb7d2b 5bfb 4cc7 8380 035b7adbf5f7
  • 4[19]all time · A22fcd58 D4f0 414b Af57 B01230fea0e4
  • 2 decimal places[4]all time · Cc190a6e 348f 4d01 9972 89c96600bf00
  • seconds[13]all time · 878ee8ce 9b2c 406c B8cc 6618bf2797f2

Calculatesin disputecalculates

Purposein disputepurpose

Granularityin disputegranularity

  • seconds[20]all time · Cf0f131f 3746 4a4d 8090 55a6c610aac6
  • sub-second[21]all time · 9ab8fe53 Eb32 42d9 8eac C30e73177819

Callsin disputecalls

Applies toin disputeappliesTo

Coversin disputecovers

  • Vectorization Process[8]all time · D939bb43 2e1e 4bc3 9129 9e66e391f920
  • process_queries call[15]sourceall time · 7ba60581 Efb1 48dc Ae4e 5da742180b42

Followed byin disputefollowedBy

Calculates Durationin disputecalculatesDuration

Inbound mentions (38)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

usesUses(3)

assignedValueAssigned Value(2)

capturedByCaptured by(2)

purposePurpose(2)

basisForBasis for(1)

basisOfSexagesimalSystemBasis of Sexagesimal System(1)

calculatedByCalculated by(1)

containsContains(1)

containsStepContains Step(1)

demonstratesDemonstrates(1)

describesDescribes(1)

enablesMeasurementEnables Measurement(1)

enclosesEncloses(1)

evaluatesEvaluates(1)

followedByFollowed by(1)

hasComponentHas Component(1)

implementedByImplemented by(1)

includesIncludes(1)

includesModificationIncludes Modification(1)

indicatesIndicates(1)

inverseOfInverse of(1)

invokesInvokes(1)

measuredByMeasured by(1)

measuresMeasures(1)

measuresDurationMeasures Duration(1)

measuresExecutionTimeMeasures Execution Time(1)

performsPerforms(1)

providesProvides(1)

rdf:typeRdf:type(1)

requiredForRequired for(1)

usedForUsed for(1)

usesMethodUses Method(1)

usesStartTimeCaptureUses Start Time Capture(1)

Other facts (29)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

29 facts
PredicateValueRef
Calculates DifferenceDuration[8]
Calculates Differenceend_time minus start_time[9]
Implemented byEnd Time Recording[23]
Implemented byStart Time Recording[23]
Is Used forDuration Computation[25]
Is Used forLatency Calculation[25]
IncludesDuration Calculation[24]
IncludesEnd Time Recording[24]
IncludesStart Time Recording[24]
IncludesTime Printing[24]
Has Unit Relation60 minutes in an hour[22]
Has Unit Relation60 seconds in a minute[22]
Precision Levelhundredths-of-second[35]
QuantifiesFunction Duration[36]
FollowsAsync Processing Execution[3]
Assigned toEnd Time Variable[3]
Described byTiming Explanation[16]
EnablesPerformance Assessment[16]
Captures AfterEnd Time[13]
Captures BeforeStart Time[13]
Measures Duration ofSearch Operation[33]
Format Specifier.4f[19]
PrecedesAsyncio Run[18]
Calls FunctionFunction Time Time[7]
Is aOperation[4]
Converts to Secondstrue[9]
Computes DifferenceCurrent and Start Time[14]
Captures After OperationEnd Time[10]
Captures Before OperationStart Time[10]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

appliesTobeam/37f6e350-3fc4-4240-8b15-d7c35982dfcc
ex:first-loop
appliesTobeam/a58799ae-57a9-4e05-8edf-8cfe4425b05c
ex:inference-process
appliesTobeam/37f6e350-3fc4-4240-8b15-d7c35982dfcc
ex:second-loop
assigned-tobeam/dc4b02e7-5b01-4281-bfd2-741ccdaacf22
ex:end_time-variable
calculatesbeam/cc190a6e-348f-4d01-9972-89c96600bf00
ex:duration
calculatesbeam/8d8869bb-2ceb-421b-a4f8-6d4622195274
ex:duration
calculatesbeam/8928fff6-028a-4c31-9801-9484b10c9c03
ex:query-execution-time
calculatesbeam/281cbbcd-971c-4f22-9941-258f26a50c16
ex:search-duration
calculatesDifferencebeam/d939bb43-2e1e-4bc3-9129-9e66e391f920
ex:duration
calculatesDifferencebeam/5482f6ac-30d7-436e-a661-04e48f60df20
end_time minus start_time
calculatesDurationbeam/7da0d616-0de7-4880-bacb-4a0a15c5a9c9
ex:end-time-minus-start-time
calculatesDurationbeam/43bdd08f-2734-484d-b5c6-4c1afed2aa0e
ex:processing-duration
callsbeam/dc4b02e7-5b01-4281-bfd2-741ccdaacf22
ex:time
callsbeam/254ab7fb-a202-4309-9ebc-dfb2af81e28e
ex:time-time-function
callsFunctionbeam/281cbbcd-971c-4f22-9941-258f26a50c16
ex:function-time-time
capturesAfterbeam/878ee8ce-9b2c-406c-b8cc-6618bf2797f2
ex:end-time
capturesAfterOperationbeam/7da0d616-0de7-4880-bacb-4a0a15c5a9c9
ex:end-time
capturesBeforebeam/878ee8ce-9b2c-406c-b8cc-6618bf2797f2
ex:start-time
capturesBeforeOperationbeam/7da0d616-0de7-4880-bacb-4a0a15c5a9c9
ex:start-time
computesDifferencebeam/6dbe8f35-74b9-40c2-9797-0debc6fb19f9
ex:current-and-start-time
convertsToSecondsbeam/5482f6ac-30d7-436e-a661-04e48f60df20
true
coversbeam/d939bb43-2e1e-4bc3-9129-9e66e391f920
ex:vectorization-process
coversbeam/7ba60581-efb1-48dc-ae4e-5da742180b42
process_queries call
describedBybeam/59a85bc3-c979-494e-89ab-09b065bdba25
ex:timing-explanation
enablesbeam/59a85bc3-c979-494e-89ab-09b065bdba25
ex:performance-assessment
followedBybeam/d180d2a5-12cd-414f-b30b-7f699289a6d3
ex:performance-output
followedBybeam/0d495c96-9a6c-4751-b012-245faafa9739
ex:time-print
followsbeam/dc4b02e7-5b01-4281-bfd2-741ccdaacf22
ex:async-processing-execution
formatSpecifierbeam/a22fcd58-d4f0-414b-af57-b01230fea0e4
ex:.4f
granularitybeam/cf0f131f-3746-4a4d-8090-55a6c610aac6
seconds
granularitybeam/9ab8fe53-eb32-42d9-8eac-c30e73177819
sub-second
hasUnitRelationblah/omega/1186
60 minutes in an hour
hasUnitRelationblah/omega/1186
60 seconds in a minute
implementedBybeam/885c524b-cce7-43d6-bce5-9ef62a54131f
ex:end-time-recording
implementedBybeam/885c524b-cce7-43d6-bce5-9ef62a54131f
ex:start_time-recording
includesbeam/731b8e8a-1f12-4ab1-a853-9852e66bc19e
ex:duration-calculation
includesbeam/731b8e8a-1f12-4ab1-a853-9852e66bc19e
ex:end-time-recording
includesbeam/731b8e8a-1f12-4ab1-a853-9852e66bc19e
ex:start-time-recording
includesbeam/731b8e8a-1f12-4ab1-a853-9852e66bc19e
ex:time-printing
isAbeam/cc190a6e-348f-4d01-9972-89c96600bf00
ex:Operation
isUsedForbeam/e17dfbaf-ae88-4a1c-897d-71a2620730b3
ex:duration-computation
isUsedForbeam/e17dfbaf-ae88-4a1c-897d-71a2620730b3
ex:latency-calculation
measuresbeam/6964a23c-e677-4804-957c-6b37fd691ca1
ex:generation-time
measuresbeam/24776806-43b0-491e-806d-e4f4e8d75851
ex:inference-duration
measuresbeam/b28296e8-d424-4c69-b112-9bdbaeddc220
ex:processing-duration
measuresbeam/5a656395-eca3-4495-bbd0-31046aeca5e6
ex:processing-duration
measuresbeam/59a85bc3-c979-494e-89ab-09b065bdba25
ex:processing-time
measuresbeam/9ad711c6-6c32-48b2-969d-853177ef3821
ex:search-operation
measuresbeam/281cbbcd-971c-4f22-9941-258f26a50c16
ex:search-operation
measuresbeam/59323be7-0344-48af-a986-55126680111b
total_time
measuresbeam/59323be7-0344-48af-a986-55126680111b
avg_latency
measuresbeam/ecfade85-3ab4-4f4a-88c3-919e6f50bfed
execution duration
measuresbeam/1124ed6d-e300-4cff-9c90-501961918367
search operation
measuresbeam/5482f6ac-30d7-436e-a661-04e48f60df20
processing time
measuresDurationOfbeam/1124ed6d-e300-4cff-9c90-501961918367
ex:search-operation
precedesbeam/0d495c96-9a6c-4751-b012-245faafa9739
ex:asyncio-run
precisionbeam/2cfb7d2b-5bfb-4cc7-8380-035b7adbf5f7
microseconds
precisionbeam/a22fcd58-d4f0-414b-af57-b01230fea0e4
4
precisionbeam/cc190a6e-348f-4d01-9972-89c96600bf00
2 decimal places
precisionbeam/878ee8ce-9b2c-406c-b8cc-6618bf2797f2
seconds
precisionLevelbeam/e099648c-686d-44d4-859d-6689904136fb
hundredths-of-second
purposebeam/254ab7fb-a202-4309-9ebc-dfb2af81e28e
ex:calculate-duration
purposebeam/59a85bc3-c979-494e-89ab-09b065bdba25
ex:performance-assessment
purposebeam/7ba60581-efb1-48dc-ae4e-5da742180b42
performance profiling
quantifiesbeam/fdf83faa-03c9-4e80-9792-6fa66000e80d
ex:function-duration
labelbeam/6d530de5-e717-4448-9410-cc50786f11ab
Processing time measurement
labelbeam/731b8e8a-1f12-4ab1-a853-9852e66bc19e
Execution time tracking
labelbeam/c74e97dd-23f2-45e9-9ec1-958b9896a948
Time Measurement
labelbeam/0b0e3d9f-0f06-4562-a8ee-1d3f71c4c557
Response Time Measurement
labelbeam/202a3697-e562-4fba-bbf7-cecbb06b3cd0
time measurement
labelbeam/254ab7fb-a202-4309-9ebc-dfb2af81e28e
Time measurement
labelbeam/ed0c9925-bf5e-4f1a-90a8-43854021cb01
time module import
labelbeam/d939bb43-2e1e-4bc3-9129-9e66e391f920
vectorization time measurement
labelbeam/611cfdff-6ffd-4590-a321-d56e5ade490e
Execution time measurement
labelbeam/df7c58f3-fbec-47d0-9088-2916d03b14b6
Time Measurement
labelbeam/84d79cfd-babb-47e3-ab57-84c58215c540
Execution Time Measurement
labelbeam/4d8aaf8b-fb9e-4b75-8f18-106489b10190
Execution Time Measurement
labelbeam/281cbbcd-971c-4f22-9941-258f26a50c16
Search Time Measurement
labelbeam/91f2ae84-0467-4e3d-8eb2-321df245cc54
Execution Time Measurement
typebeam/254ab7fb-a202-4309-9ebc-dfb2af81e28e
ex:Action
typebeam/9d96f8cb-54e9-48bd-a699-50a1796601b9
ex:BenchmarkingTechnique
typebeam/97b0f578-1a3d-4330-a3c6-751ff8fef12c
ex:CodeBlock
typebeam/ed0c9925-bf5e-4f1a-90a8-43854021cb01
ex:CodeOperation
typebeam/dc4b02e7-5b01-4281-bfd2-741ccdaacf22
ex:code-statement
typebeam/6964a23c-e677-4804-957c-6b37fd691ca1
ex:CodeStatement
typebeam/6dbe8f35-74b9-40c2-9797-0debc6fb19f9
ex:Elapsed-TimeCalculation
typebeam/731b8e8a-1f12-4ab1-a853-9852e66bc19e
ex:Feature
typebeam/24776806-43b0-491e-806d-e4f4e8d75851
ex:Measurement
typebeam/018f418c-0f90-4e64-839e-13d1edcbda95
ex:MeasurementActivity
typebeam/84d79cfd-babb-47e3-ab57-84c58215c540
ex:MeasurementOperation
typebeam/202a3697-e562-4fba-bbf7-cecbb06b3cd0
ex:MeasurementOperation
typebeam/a9675ea7-6b79-409d-b197-5890051a64b0
ex:MeasurementOperation
typebeam/d180d2a5-12cd-414f-b30b-7f699289a6d3
ex:PerformanceMeasurement
typebeam/8928fff6-028a-4c31-9801-9484b10c9c03
ex:PerformanceMeasurement
typebeam/281cbbcd-971c-4f22-9941-258f26a50c16
ex:PerformanceMeasurement
typebeam/91f2ae84-0467-4e3d-8eb2-321df245cc54
ex:PerformanceMeasurement
typebeam/df7c58f3-fbec-47d0-9088-2916d03b14b6
ex:PerformanceMeasurement
typebeam/59a85bc3-c979-494e-89ab-09b065bdba25
ex:PerformanceMeasurement
typebeam/1124ed6d-e300-4cff-9c90-501961918367
ex:PerformanceMeasurement
typebeam/6d530de5-e717-4448-9410-cc50786f11ab
ex:PerformanceMeasurement

References (50)

50 references
  1. customctx:claims/beam/37f6e350-3fc4-4240-8b15-d7c35982dfcc
  2. [2]beam-chunk1 fact
    customctx:claims/beam/a58799ae-57a9-4e05-8edf-8cfe4425b05c
    • full textbeam-chunk
      text/plain1 KBdoc:beam/a58799ae-57a9-4e05-8edf-8cfe4425b05c
      Show excerpt
      input_tensor = torch.randn(1, 128).cuda() output = model(input_tensor) ``` ### Next Steps 1. **Run the Code**: - Execute the code to train your model and observe the memory usage and performance improvements. 2. **Prof
  3. [3]beam-chunk4 facts
    customctx:claims/beam/dc4b02e7-5b01-4281-bfd2-741ccdaacf22
    • full textbeam-chunk
      text/plain1 KBdoc:beam/dc4b02e7-5b01-4281-bfd2-741ccdaacf22
      Show excerpt
      loop = asyncio.get_event_loop() results_async = loop.run_until_complete(async_rewrite_queries(queries)) end_time = time.time() print(f"Asynchronous processing time: {end_time - start_time:.2f} seconds") for result in results_async: pri
  4. customctx:claims/beam/cc190a6e-348f-4d01-9972-89c96600bf00
  5. [5]beam-chunk1 fact
    customctx:claims/beam/8d8869bb-2ceb-421b-a4f8-6d4622195274
    • full textbeam-chunk
      text/plain1 KBdoc:beam/8d8869bb-2ceb-421b-a4f8-6d4622195274
      Show excerpt
      [Turn 2466] User: I'm trying to implement a scalable LLM system that can handle 3,500 concurrent queries with 99.9% uptime. I've designed a system architecture with multiple modules, but I'm not sure if it's scalable enough. Here's an examp
  6. [6]beam-chunk2 facts
    customctx:claims/beam/8928fff6-028a-4c31-9801-9484b10c9c03
    • full textbeam-chunk
      text/plain1 KBdoc:beam/8928fff6-028a-4c31-9801-9484b10c9c03
      Show excerpt
      To further optimize the query time, you can adjust the parameters: - **`nlist`**: Increasing `nlist` can improve accuracy but may increase memory usage and query time. - **`m`**: The number of subquantizers affects the trade-off between sp
  7. [7]beam-chunk5 facts
    customctx:claims/beam/281cbbcd-971c-4f22-9941-258f26a50c16
    • full textbeam-chunk
      text/plain1 KBdoc:beam/281cbbcd-971c-4f22-9941-258f26a50c16
      Show excerpt
      - Test different configurations of `nlist`, `nprobe`, and the number of threads to find the optimal settings for your use case. ### Example Code Here's an example of how you can use `IndexIVFFlat` with multi-threading and precompute table
  8. customctx:claims/beam/d939bb43-2e1e-4bc3-9129-9e66e391f920
  9. customctx:claims/beam/5482f6ac-30d7-436e-a661-04e48f60df20
  10. [10]beam-chunk3 facts
    customctx:claims/beam/7da0d616-0de7-4880-bacb-4a0a15c5a9c9
    • full textbeam-chunk
      text/plain1 KBdoc:beam/7da0d616-0de7-4880-bacb-4a0a15c5a9c9
      Show excerpt
      vectors = np.random.rand(num_vectors, 128).astype('float32').tolist() ids = [str(i) for i in range(num_vectors)] self.collection.insert(vectors, ids) query_vector = np.random.rand(1, 128).asty
  11. [11]beam-chunk1 fact
    customctx:claims/beam/43bdd08f-2734-484d-b5c6-4c1afed2aa0e
    • full textbeam-chunk
      text/plain1 KBdoc:beam/43bdd08f-2734-484d-b5c6-4c1afed2aa0e
      Show excerpt
      return [1.0, 2.0, 3.0] def process_documents(documents): vectors = [] with ThreadPoolExecutor(max_workers=10) as executor: futures = [executor.submit(vectorize_document, document) for document in documents] for
  12. [12]beam-chunk4 facts
    customctx:claims/beam/254ab7fb-a202-4309-9ebc-dfb2af81e28e
    • full textbeam-chunk
      text/plain1 KBdoc:beam/254ab7fb-a202-4309-9ebc-dfb2af81e28e
      Show excerpt
      ### 5. Iterative Improvement Based on the results from benchmarking, profiling, and monitoring, iteratively improve your configuration. #### Steps: 1. **Identify Bottlenecks**: - Use the profiling and monitoring data to identify speci
  13. customctx:claims/beam/878ee8ce-9b2c-406c-b8cc-6618bf2797f2
  14. [14]beam-chunk2 facts
    customctx:claims/beam/6dbe8f35-74b9-40c2-9797-0debc6fb19f9
    • full textbeam-chunk
      text/plain1 KBdoc:beam/6dbe8f35-74b9-40c2-9797-0debc6fb19f9
      Show excerpt
      true_positives = sum([1 for vec in retrieved_neighbors if vec in true_neighbors]) false_positives = len(retrieved_neighbors) - true_positives false_negatives = len(true_neighbors) - true_positives recall_rate = true_positive
  15. [15]beam-chunk2 facts
    customctx:claims/beam/7ba60581-efb1-48dc-ae4e-5da742180b42
    • full textbeam-chunk
      text/plain1 KBdoc:beam/7ba60581-efb1-48dc-ae4e-5da742180b42
      Show excerpt
      queries = ["example query"] * 6000 # Measure the latency of processing multiple queries in parallel start_time = time.time() results = process_queries(queries) end_time = time.time() latency = end_time - start_time print(f"Total latency fo
  16. [16]beam-chunk5 facts
    customctx:claims/beam/59a85bc3-c979-494e-89ab-09b065bdba25
    • full textbeam-chunk
      text/plain1 KBdoc:beam/59a85bc3-c979-494e-89ab-09b065bdba25
      Show excerpt
      average_metric_accuracy = np.mean(metric_accuracies) logging.info(f"Processed {num_tests} tests in {elapsed_time:.2f} seconds") logging.info(f"Average metric accuracy: {average_metric_accuracy}") if __name__ == "__main__":
  17. ctx:claims/beam/d180d2a5-12cd-414f-b30b-7f699289a6d3
  18. ctx:claims/beam/0d495c96-9a6c-4751-b012-245faafa9739
  19. ctx:claims/beam/a22fcd58-d4f0-414b-af57-b01230fea0e4
  20. ctx:claims/beam/cf0f131f-3746-4a4d-8090-55a6c610aac6
  21. ctx:claims/beam/9ab8fe53-eb32-42d9-8eac-c30e73177819
  22. [22]11862 facts
    ctx:discord/blah/omega/1186
  23. ctx:claims/beam/885c524b-cce7-43d6-bce5-9ef62a54131f
  24. ctx:claims/beam/731b8e8a-1f12-4ab1-a853-9852e66bc19e
  25. ctx:claims/beam/e17dfbaf-ae88-4a1c-897d-71a2620730b3
  26. ctx:claims/beam/6964a23c-e677-4804-957c-6b37fd691ca1
  27. ctx:claims/beam/24776806-43b0-491e-806d-e4f4e8d75851
  28. ctx:claims/beam/b28296e8-d424-4c69-b112-9bdbaeddc220
  29. ctx:claims/beam/5a656395-eca3-4495-bbd0-31046aeca5e6
  30. ctx:claims/beam/9ad711c6-6c32-48b2-969d-853177ef3821
  31. ctx:claims/beam/59323be7-0344-48af-a986-55126680111b
  32. ctx:claims/beam/ecfade85-3ab4-4f4a-88c3-919e6f50bfed
  33. ctx:claims/beam/1124ed6d-e300-4cff-9c90-501961918367
  34. ctx:claims/beam/2cfb7d2b-5bfb-4cc7-8380-035b7adbf5f7
  35. ctx:claims/beam/e099648c-686d-44d4-859d-6689904136fb
  36. ctx:claims/beam/fdf83faa-03c9-4e80-9792-6fa66000e80d
  37. ctx:claims/beam/6d530de5-e717-4448-9410-cc50786f11ab
  38. ctx:claims/beam/c74e97dd-23f2-45e9-9ec1-958b9896a948
  39. ctx:claims/beam/0b0e3d9f-0f06-4562-a8ee-1d3f71c4c557
  40. ctx:claims/beam/202a3697-e562-4fba-bbf7-cecbb06b3cd0
  41. ctx:claims/beam/ed0c9925-bf5e-4f1a-90a8-43854021cb01
  42. ctx:claims/beam/611cfdff-6ffd-4590-a321-d56e5ade490e
  43. ctx:claims/beam/df7c58f3-fbec-47d0-9088-2916d03b14b6
  44. ctx:claims/beam/84d79cfd-babb-47e3-ab57-84c58215c540
  45. ctx:claims/beam/4d8aaf8b-fb9e-4b75-8f18-106489b10190
  46. ctx:claims/beam/91f2ae84-0467-4e3d-8eb2-321df245cc54
  47. ctx:claims/beam/9d96f8cb-54e9-48bd-a699-50a1796601b9
  48. ctx:claims/beam/97b0f578-1a3d-4330-a3c6-751ff8fef12c
  49. ctx:claims/beam/018f418c-0f90-4e64-839e-13d1edcbda95
  50. ctx:claims/beam/a9675ea7-6b79-409d-b197-5890051a64b0

See also

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