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A题/数值分析检验/Prompt/7.md

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+TASK: Produce a scenario matrix and attribute TTE reductions to drivers.
+
+INPUT DATA:
+- BASELINE_CONFIG_v1
+- Choose z0 = 1.00 only
+- Define 8 scenarios total:
+  S0 baseline
+  S1 brightness reduced: L(t) scaled by 0.5
+  S2 CPU reduced: C(t) scaled by 0.5
+  S3 network reduced: N(t) scaled by 0.5
+  S4 signal worsened: Ψ(t) replaced by min(Ψ, Ψ_poor) for entire run
+  S5 cold ambient: T_a = 0°C constant
+  S6 hot ambient:  T_a = 40°C constant
+  S7 background cut: P_bg reduced by 50%
+
+METHODOLOGY:
+1) For each scenario, run simulation and compute TTE_hours.
+2) Compute ΔTTE_hours = TTE(Si) - TTE(S0).
+3) Rank scenarios by most negative ΔTTE (largest reduction).
+4) For top 3 reductions, compute “mechanistic signatures”:
+   avg(P_tot), max(I), min(Δ), avg(R0), avg(Q_eff)
+
+DELIVERABLES:
+A) SCENARIO_TTE_TABLE_v1 (CSV):
+   scenario_id, description, TTE_hours, ΔTTE_hours, termination_reason
+B) DRIVER_RANKING_v1 (JSON):
+   ordered list of scenario_id with ΔTTE_hours
+C) MECH_SIGNATURES_v1 (CSV) for top 3 reductions:
+   scenario_id, avg_P, max_I, min_Δ, avg_R0, avg_Qeff
+
+VALIDATION:
+- All scenarios must terminate with a valid event reason.
+- No scenario may produce NaN/inf in stored columns.
+
+OUTPUT FORMAT:
+CSV, JSON, CSV. No prose.