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- Status: Open.#792 In PyPSA/linopy;
- Status: Open.#782 In PyPSA/linopy;
Design: Model.restrict / advance — slice a model along a coordinate and condition on boundary values (rolling horizon)
enhancementNew feature or requestNew feature or requestperformanceThis improves performance while not (meaningfully) altering behaviour for usersThis improves performance while not (meaningfully) altering behaviour for usersStatus: Open.#768 In PyPSA/linopy;Model.assign_coords: coordinate reassignment on an existing model
enhancementNew feature or requestNew feature or requestperformanceThis improves performance while not (meaningfully) altering behaviour for usersThis improves performance while not (meaningfully) altering behaviour for usersStatus: Open.#767 In PyPSA/linopy;- Status: Open.#763 In PyPSA/linopy;
Multi-key groupby([names]).sum() densifies to a dense cartesian grid (memory)
performanceThis improves performance while not (meaningfully) altering behaviour for usersThis improves performance while not (meaningfully) altering behaviour for usersStatus: Open.Umbrella: long-format / sparse
_termkernel (dense-_termmemory cluster)performanceThis improves performance while not (meaningfully) altering behaviour for usersThis improves performance while not (meaningfully) altering behaviour for usersStatus: Open.mergeof ragged expressions is the peak allocation in PyPSA model buildsperformanceThis improves performance while not (meaningfully) altering behaviour for usersThis improves performance while not (meaningfully) altering behaviour for usersStatus: Open.@/dotagainst a sparse matrix densifies the result to full_termperformanceThis improves performance while not (meaningfully) altering behaviour for usersThis improves performance while not (meaningfully) altering behaviour for usersStatus: Open.groupby-sum pads every group to the largest group size
performanceThis improves performance while not (meaningfully) altering behaviour for usersThis improves performance while not (meaningfully) altering behaviour for usersStatus: Open.Decision before v1: first-class MultiIndex support vs. flat dims + auxiliary level coords
questionFurther information is requestedFurther information is requestedStatus: Open.#744 In PyPSA/linopy;Benchmark comparison vs
polar-high(Polars-backed LP/MIP eDSL on HiGHS) — thoughts?performanceThis improves performance while not (meaningfully) altering behaviour for usersThis improves performance while not (meaningfully) altering behaviour for usersStatus: Open.