Dim Variable
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)
Dim Variable has 7 facts recorded in Dontopedia across 3 references, with 1 live disagreement.
Mostly:rdf:type(3), variable name(2), assigned value(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.
assignsVariableAssigns Variable(1)
- Step Ingest Data
ex:step-ingest-data
definesVariableDefines Variable(1)
- Setup Milvus Py
ex:setup-milvus-py
Other facts (7)
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 | Program Variable | [1] |
| Rdf:type | Integer Variable | [2] |
| Rdf:type | Integer | [3] |
| Variable Name | dim | [1] |
| Variable Name | dim | [2] |
| Assigned Value | 512 | [1] |
| Variable Value | 128 | [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/c93f21b2-5d63-4700-acd2-ac16decca67bctx:claims/beam/1e47faff-9001-4475-b47f-aee14dcc46af- full textbeam-chunktext/plain1 KB
doc:beam/1e47faff-9001-4475-b47f-aee14dcc46afShow excerpt
Create a Python script named `setup_milvus.py` with the following content: ```python from pymilvus import connections, FieldSchema, CollectionSchema, DataType, Collection # Connect to Milvus connections.connect("default", ho…
ctx:claims/beam/c1884d4f-6cc0-42a1-9d04-1b18cb1f2a49- full textbeam-chunktext/plain1 KB
doc:beam/c1884d4f-6cc0-42a1-9d04-1b18cb1f2a49Show excerpt
# Connect to Milvus server connections.connect("default", host="localhost", port="19530") # Define schema fields = [ FieldSchema(name="id", dtype=DataType.INT64, is_primary=True), FieldSchema(name="vector", dtype=DataType.FLOAT_VEC…
See also
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