b30e54a8f7
Full-stack app for participatory water pricing using Bezier curves. - Backend: FastAPI + SQLAlchemy + SQLite with JWT auth - Frontend: Nuxt 4 + TypeScript with interactive SVG editor - Math engine: cubic Bezier tarification with Cardano solver - Admin: commune management, household import, vote monitoring, CMS - Citizen: interactive curve editor, vote submission - Docker-compose deployment ready Includes fixes for: - Impact table snake_case/camelCase property mismatch - CMS content backend API + frontend editor (was stub) - Admin route protection middleware - Public content display on commune page - Vote confirmation page link fix Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
49 lines
1.1 KiB
Python
49 lines
1.1 KiB
Python
"""
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Median computation for vote parameters.
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Computes the element-wise median of (vinf, a, b, c, d, e) across all active votes.
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This parametric median is chosen over geometric median because:
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- It's transparent and politically explainable
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- The result is itself a valid set of Bézier parameters
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"""
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import numpy as np
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from dataclasses import dataclass
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@dataclass
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class VoteParams:
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"""The 6 citizen-adjustable parameters."""
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vinf: float
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a: float
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b: float
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c: float
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d: float
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e: float
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def compute_median(votes: list[VoteParams]) -> VoteParams | None:
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"""
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Compute element-wise median of vote parameters.
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Returns None if no votes provided.
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"""
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if not votes:
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return None
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vinfs = [v.vinf for v in votes]
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a_s = [v.a for v in votes]
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b_s = [v.b for v in votes]
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c_s = [v.c for v in votes]
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d_s = [v.d for v in votes]
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e_s = [v.e for v in votes]
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return VoteParams(
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vinf=float(np.median(vinfs)),
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a=float(np.median(a_s)),
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b=float(np.median(b_s)),
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c=float(np.median(c_s)),
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d=float(np.median(d_s)),
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e=float(np.median(e_s)),
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)
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