release: promote develop → main (global weather features + tooling baseline)#346
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… CI gate Roadmap #5/#6 tooling baseline for spotforecast2-safe: - type checker: drop mypy (dev + optional-deps + pre-commit hook), adopt Astral `ty`; add [tool.ty]; run `ty check src/` non-blocking in CI. - coverage: add [tool.coverage] with fail_under=68 ratchet (~71% today), enforced by the existing pytest --cov run. - legacy lint: remove redundant .flake8 (not invoked anywhere; flake8 also dropped from runtime deps) and add a minimal [tool.ruff] (line-length 88). - docs (#5): new "API Reference In Sync" CI job regenerates the quartodoc reference and fails on drift (git diff --exit-code docs/reference/). Non-breaking, non-releasing (chore). Promotes to main with the next release. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…tooling-baseline chore(tooling): converge on ty, coverage ratchet, docs-reference CI gate
…parent-temperature/dew-point features Add the cheapest, most reliable load-forecasting accuracy levers — the feature-matrix gains that live in x_t, not the model f(.) — as opt-in, fail-safe, deterministic weather features. All default off, so the pipeline stays byte-identical to the single-point baseline. New module weather/derived.py (pure functions): - heating/cooling degree-hours (hdh/cdh) — split the U-shaped temperature response into its two arms (ruba23a) - apparent temperature (Steadman) and dew point (Magnus) — fold in the humidity driver dry-bulb temperature misses (maia20a) - population_weighted_average — combine per-city frames into one demand- weighted national index (zimm25a) - add_derived_weather_features — deterministic orchestrator, raises on a missing source column rather than imputing New module weather/locations.py: a fixed, deterministic registry of 13 German load centres weighted by population and spread across all regions so the national index is not dominated by one climate zone. get_weather_features gains opt-in locations/location_weights (multi-city population weighting) and derived_features/hdh_base/cdh_base/wind_speed_unit parameters; ConfigMulti gains use_population_weighted_weather, include_degree_hours, include_apparent_temperature, degree_hours_base_*; and BaseTask.build_exogenous_features wires them through (getattr-guarded for configs predating the fields). Implements the "what to adopt next" priorities #1-#2 from the lecture's "Additional exogenous inputs beyond weather and holidays" and the global population-weighted weather requested for the sf2 roadmap. Stays within the sf2-safe contract: keyless, deterministic, fail-safe, no prohibited deps. Tests: 46 new (pure functions, fail-safe, determinism, monkeypatched wired path). Docs reference regenerated. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…lobal-weather-features feat(weather): population-weighted multi-city index + degree-hours / apparent-temperature / dew-point features
## [19.2.0-rc.1](v19.1.0...v19.2.0-rc.1) (2026-06-08) ### Features * **weather:** population-weighted multi-city index + degree-hours/apparent-temperature/dew-point features ([1942c7b](1942c7b))
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Promotion of
developintomainto cut the next release.Includes since 19.1.0:
All
developCI gates green. Merging triggers semantic-release → version bump → wheel build → PyPI upload → GitHub Release → docs deploy, then back-merge into develop.🤖 Generated with Claude Code