Long-form inputs: tables as bounds, coefficients, constants and rhs; relation group-by
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调研方向
Read the conformance suite and linopy/csr.py:318 to understand from_grouper and how the store scatters repeated source rows onto the Grid. Then trace how bounds, coefficients, constants, and right-hand sides are converted into the current stores. Done when long-table inputs support broadcast missing keys, default= for unlisted cells, and relation group-by sums on both backends under the conformance suite.
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描述
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The following content was generated by AI.
Child of #1019 (step 5), after the conformance suite. Independent of the store protocol.
Problem
Inputs are N-dimensional arrays. A relation with several rows per source key (link port → bus) needs an incidence matrix and @. PyPSA moves to a long-form data model (datarecord).
Proposal
- Accept bounds, coefficients, constants and right-hand sides as a long table: key columns plus one value column. A missing key column broadcasts over that dim; cells not listed take
default=. - Group-by sums over relation tables go through
from_grouper(linopy/csr.py:318) with repeated source rows, a scatter onto theGridthe store already does. - Inputs are converted to the current stores; no dependency on datarecord, narwhals or DuckDB types. Covered on both backends by the conformance suite.
Measurements and the deferred table-based key set are in #1019.
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