import type { AxisName, AxisScore, Finding, GradeResult, PerRuleOpportunity } from "./types.js";
export type MaturityTier = "Foundational" | "Managed" | "Defined" | "Quantitative" | "Autonomous";
/**
 * Map a numeric score (or "N/A") to a CMMI-style maturity tier.
 * Boundaries: 0-19 Foundational, 20-39 Managed, 40-59 Defined,
 * 60-79 Quantitative, 80-100 Autonomous.
 */
export declare function scoreTotier(score: number | "N/A"): MaturityTier | "N/A";
export { score, scoreFromFindings, SCORING_K } from "./scorer-v2-legacy.js";
export type { AxisFindings, AxisScoreV2, ScoreResult, ScoreOptions } from "./scorer-v2-legacy.js";
export type ScoreModel = "v2" | "v3";
export declare const DEFAULT_SCORE_MODEL: ScoreModel;
export interface AuditScoreBundle {
    schemaVersion: 2 | 3;
    scoringVersion: string;
    finalScore: number | "N/A";
    tier: MaturityTier | "N/A";
    grade: GradeResult;
    axes: AxisScore[];
}
/**
 * Resolve which scoring model to run for this audit. Precedence: explicit
 * CLI flag > env var > config file > `DEFAULT_SCORE_MODEL`. Throws on any
 * resolved value outside `["v2", "v3"]` so a typo in .lyse.yaml or
 * LYSE_SCORE_MODEL fails loudly instead of silently falling back.
 */
export declare function resolveScoreModel(sources: {
    flag?: string;
    env?: string;
    config?: string;
}): ScoreModel;
/**
 * Score an audit under the given model, returning a version-stamped bundle
 * ready to spread into `AuditResult`. v2 is the legacy severity-weighted
 * scorer (scorer-v2-legacy.ts); v3 is the clean-rate-of-opportunity scorer
 * (scorer-v3.ts). The two formulas are NOT comparable — schemaVersion and
 * scoringVersion travel together so consumers can tell which ran.
 */
export declare function scoreAudit(model: ScoreModel, run: {
    findings: Finding[];
    opportunitiesByAxis: Record<AxisName, number>;
    perRuleOpportunities: PerRuleOpportunity[];
}, opts?: {
    minSampleSize?: number;
    aiGovernanceGrace?: number;
}): AuditScoreBundle;