python -m unittest discover -s tests -p "*_test.py"
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
python -m unittest discover -s tests -p "*_test.py" has 9 facts recorded in Dontopedia across 3 references, with 1 live disagreement.
Mostly:rdf:type(3), has parameter(1), discovers from(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (2)
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.
executesExecutes(1)
- Metric Computation Step
ex:metric-computation-step
runRun(1)
- Run Metric Computation Step
ex:run-metric-computation-step
Other facts (8)
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.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Command | [1] |
| Rdf:type | Test Command | [2] |
| Rdf:type | Shell Command | [3] |
| Has Parameter | Unittest Parameters | [1] |
| Discovers From | tests | [1] |
| Pattern Match | *_test.py | [1] |
| Discovers Tests | tests directory | [2] |
| Filters by Pattern | *_test.py | [2] |
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.
References (3)
ctx:claims/beam/2a2866c4-dd43-4095-962a-016ea377de69ctx:claims/beam/42c2a8be-878f-4982-a593-d15884edb6d7- full textbeam-chunktext/plain1 KB
doc:beam/42c2a8be-878f-4982-a593-d15884edb6d7Show excerpt
track_metrics(iterations=10) ``` ### Step 4: Start Logstash Start Logstash with the configuration file: ```sh logstash -f /path/to/your/logstash.conf ``` ### Step 5: Visualize Metrics in Kibana Install and configure Kibana to visualize…
ctx:claims/beam/1fc14f37-f4dc-462b-8ced-d7ac65395d13- full textbeam-chunktext/plain1 KB
doc:beam/1fc14f37-f4dc-462b-8ced-d7ac65395d13Show excerpt
Ensure your CI/CD pipeline runs the Python script and logs the metrics to the specified file. Here's an example GitHub Actions workflow: ```yaml name: CI/CD Pipeline on: push: branches: - main pull_request: branches: …
See also
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