random.sample
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
random.sample has 23 facts recorded in Dontopedia across 4 references, with 2 live disagreements.
Mostly:rdf:type(4), requires(2), used to select(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (5)
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.
isInputToIs Input to(2)
- All Data
ex:all-data - Sample Size
ex:sample-size
employsEmploys(1)
- Seed Usage
ex:seed-usage
returnedByReturned by(1)
- Data Percentage
ex:data-percentage
usesPythonFunctionUses Python Function(1)
- Fetch Tokenized Data
ex:fetch-tokenized-data
Other facts (20)
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 | Function | [1] |
| Rdf:type | Function | [2] |
| Rdf:type | Function | [3] |
| Rdf:type | Function Call | [4] |
| Requires | All Data | [4] |
| Requires | Sample Size | [4] |
| Used to Select | Subset of Documents | [1] |
| Uses | Seed | [1] |
| Member of | Random Module | [1] |
| Returns | Consistent Subset of Documents | [1] |
| Called With | Seed | [1] |
| Type | Library Function | [1] |
| Used for | Data Sampling | [2] |
| Used for | Data Percentage Return | [3] |
| Returns Data Percentage | true | [3] |
| Based on | User Role | [3] |
| Produces | Sampled Result | [4] |
| Requires Two Arguments | true | [4] |
| First Argument | All Data | [4] |
| Second Argument | Sample Size | [4] |
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 (4)
ctx:claims/beam/fdd64869-13fd-4f8e-8b44-437c77a6b978- full textbeam-chunktext/plain1 KB
doc:beam/fdd64869-13fd-4f8e-8b44-437c77a6b978Show excerpt
- Convert the hash to an integer and use it as a seed for the random number generator. 2. **Use the Seed for Random Selection**: - Initialize the random number generator with the seed to ensure consistent random selection. - Use `…
ctx:claims/beam/8176f60e-9f14-4901-a644-bb60aaf1657actx:claims/beam/9351ef61-1a90-471d-b2b1-53b2ff81a046ctx:claims/beam/119ca795-9a01-43e8-906d-f911ab3c8a6b- full textbeam-chunktext/plain1 KB
doc:beam/119ca795-9a01-43e8-906d-f911ab3c8a6bShow excerpt
sample_size = int(len(all_data) * 0.20) return random.sample(all_data, sample_size) elif "10-percent-access" in user_roles: sample_size = int(len(all_data) * 0.10) return random.sample(all_data, sample_si…
See also
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