/**
 * Attribution Module v3
 *
 * Computes line attributions by replaying edit deltas.
 * At commit time, replays all deltas to determine which lines
 * were written by AI vs human, and links to specific prompts.
 *
 * Algorithm:
 * 1. Start with empty attributions (or git blame for existing lines)
 * 2. For each delta in chronological order:
 *    - Shift existing attributions based on insertions/deletions
 *    - Remove attributions for deleted lines
 *    - Add attributions for inserted lines
 * 3. Merge adjacent same-author ranges
 */
import type { EditDelta, LineAttribution, ComputedFileAttribution } from "./types";
/**
 * Apply a single delta to existing attributions
 * Returns updated attributions and new line count
 */
export declare function applyDelta(attributions: LineAttribution[], delta: EditDelta, lineCount: number): {
    attributions: LineAttribution[];
    lineCount: number;
};
/**
 * Merge adjacent attributions with the same author
 */
export declare function mergeAttributions(attrs: LineAttribution[]): LineAttribution[];
/**
 * Compute final attributions for a file by replaying all deltas
 */
export declare function computeFileAttributions(repoRoot: string, baseSha: string, filePath: string): Promise<ComputedFileAttribution>;
/**
 * Compute attributions for multiple files
 */
export declare function computeAttributionsForFiles(repoRoot: string, baseSha: string, files: string[]): Promise<Record<string, ComputedFileAttribution>>;
/**
 * Count total AI lines from attributions
 */
export declare function countAILines(attribution: ComputedFileAttribution): number;
/**
 * Count total human lines from attributions
 */
export declare function countHumanLines(attribution: ComputedFileAttribution): number;
/**
 * Get attribution summary for a file
 */
export declare function getAttributionSummary(attribution: ComputedFileAttribution): {
    totalLines: number;
    aiLines: number;
    humanLines: number;
    aiPercent: number;
    sessionCount: number;
};