Dontopedia

print_stats

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

print_stats is Print profiling statistics.

21 facts·13 predicates·9 sources·3 in dispute

Mostly:rdf:type(4), outputs(2), description(2)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (12)

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.

callsMethodCalls Method(4)

hasMethodHas Method(4)

hasMethodCallHas Method Call(1)

methodMethod(1)

methodCallMethod Call(1)

usedByUsed by(1)

Other facts (18)

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.

18 facts
PredicateValueRef
Rdf:typeMethod[1]
Rdf:typePython Method[2]
Rdf:typeMethod[3]
Rdf:typeMethod[4]
OutputsProfile Statistics[3]
OutputsProfiling Statistics[9]
DescriptionPrint profiling statistics[8]
DescriptionPrint sorted profiling statistics[8]
Belongs to One ofProfiles[3]
Called Per Profiletrue[3]
Called byStats[4]
Takes Argument10[5]
Has Argument20[6]
Limits Output to20[6]
Line Numberfirst[7]
Method ofStats[8]
Used forOutput Generation[8]
Called onPs[9]

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.

21 undated
—
typebeam/91ab2664-968c-4bb4-b7a1-4bb61dc810a4
ex:Method
—
labelbeam/91ab2664-968c-4bb4-b7a1-4bb61dc810a4
print_stats
—
typebeam/20342d06-a832-4fa0-8eda-34243774ac2e
ex:PythonMethod
—
labelbeam/20342d06-a832-4fa0-8eda-34243774ac2e
print_stats
—
typebeam/f2ac6f00-9427-4edc-b81b-45b9c891e787
ex:Method
—
labelbeam/f2ac6f00-9427-4edc-b81b-45b9c891e787
print_stats
—
belongsToOneOfbeam/f2ac6f00-9427-4edc-b81b-45b9c891e787
ex:profiles
—
outputsbeam/f2ac6f00-9427-4edc-b81b-45b9c891e787
ex:profile_statistics
—
calledPerProfilebeam/f2ac6f00-9427-4edc-b81b-45b9c891e787
true
—
typebeam/b9406b81-4fc1-45b7-ad2a-ee6dd1ca1b51
ex:Method
—
calledBybeam/b9406b81-4fc1-45b7-ad2a-ee6dd1ca1b51
ex:stats
—
takesArgumentbeam/5825331f-9249-40f8-9c37-fa519c74bcc1
10
—
hasArgumentbeam/7b17d450-1e6b-4a8d-aeee-b2acb55eb0f2
20
—
limitsOutputTobeam/7b17d450-1e6b-4a8d-aeee-b2acb55eb0f2
20
—
lineNumberbeam/360d20e0-7ab2-4362-9380-7f1c298c4af3
first
—
descriptionbeam/9fcfc92c-57a9-467e-86b3-63dd7ea33dbe
Print profiling statistics
—
descriptionbeam/9fcfc92c-57a9-467e-86b3-63dd7ea33dbe
Print sorted profiling statistics
—
methodOfbeam/9fcfc92c-57a9-467e-86b3-63dd7ea33dbe
ex:Stats
—
usedForbeam/9fcfc92c-57a9-467e-86b3-63dd7ea33dbe
ex:output-generation
—
calledOnbeam/5e9afeda-9bb9-4fc2-b6c2-8be60e02ac6e
ex:ps
—
outputsbeam/5e9afeda-9bb9-4fc2-b6c2-8be60e02ac6e
ex:profiling_statistics

References (9)

9 references
  1. [1]91ab2664 968c 4bb4 B7a1 4bb61dc810a42 facts
    ctx:claims/beam/91ab2664-968c-4bb4-b7a1-4bb61dc810a4
  2. [2]20342d06 A832 4fa0 8eda 34243774ac2e2 facts
    ctx:claims/beam/20342d06-a832-4fa0-8eda-34243774ac2e
  3. [3]F2ac6f00 9427 4edc B81b 45b9c891e7875 facts
    ctx:claims/beam/f2ac6f00-9427-4edc-b81b-45b9c891e787
  4. [4]B9406b81 4fc1 45b7 Ad2a Ee6dd1ca1b512 facts
    ctx:claims/beam/b9406b81-4fc1-45b7-ad2a-ee6dd1ca1b51
    • full textbeam-chunk
      text/plain1 KBdoc:beam/b9406b81-4fc1-45b7-ad2a-ee6dd1ca1b51
      Show excerpt
      [Turn 7217] Assistant: Great job on improving the API throughput by 10% for 25,000 queries! To further refine your endpoints and achieve better performance, you can consider several additional strategies. Here are some steps you can take: …
  5. [5]5825331f 9249 40f8 9c37 Fa519c74bcc11 fact
    ctx:claims/beam/5825331f-9249-40f8-9c37-fa519c74bcc1
    • full textbeam-chunk
      text/plain1 KBdoc:beam/5825331f-9249-40f8-9c37-fa519c74bcc1
      Show excerpt
      result = profiler.runcall(func, *args, **kwargs) stats = pstats.Stats(profiler) stats.strip_dirs().sort_stats('cumulative').print_stats(10) return result test_id = 123 profile_function(get_test_results, te…
  6. [6]7b17d450 1e6b 4a8d Aeee B2acb55eb0f22 facts
    ctx:claims/beam/7b17d450-1e6b-4a8d-aeee-b2acb55eb0f2
    • full textbeam-chunk
      text/plain1 KBdoc:beam/7b17d450-1e6b-4a8d-aeee-b2acb55eb0f2
      Show excerpt
      def profile_function(func, *args, **kwargs): profiler = cProfile.Profile() result = profiler.runcall(func, *args, **kwargs) stats = pstats.Stats(profiler) stats.sort_stats('cumulative').print_stats(2…
  7. [7]360d20e0 7ab2 4362 9380 7f1c298c4af31 fact
    ctx:claims/beam/360d20e0-7ab2-4362-9380-7f1c298c4af3
  8. [8]9fcfc92c 57a9 467e 86b3 63dd7ea33dbe4 facts
    ctx:claims/beam/9fcfc92c-57a9-467e-86b3-63dd7ea33dbe
    • full textbeam-chunk
      text/plain1 KBdoc:beam/9fcfc92c-57a9-467e-86b3-63dd7ea33dbe
      Show excerpt
      inputs = tokenizer(query, return_tensors="pt") # Get the reformulated query start_time = time.time() outputs = model.generate(**inputs) end_time = time.time() # Return the reformulated query return toke…
  9. [9]5e9afeda 9bb9 4fc2 B6c2 8be60e02ac6e2 facts
    ctx:claims/beam/5e9afeda-9bb9-4fc2-b6c2-8be60e02ac6e
    • full textbeam-chunk
      text/plain1 KBdoc:beam/5e9afeda-9bb9-4fc2-b6c2-8be60e02ac6e
      Show excerpt
      def profile_function(func, *args, **kwargs): pr = cProfile.Profile() pr.enable() result = func(*args, **kwargs) pr.disable() s = io.StringIO() ps = Stats(pr, stream=s).sort_stats('cumtime') ps.print_stats() p…

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