/**
 * Fixed-point math utilities for the DBC bonding curve.
 * All sqrt_price values are Q64.64 fixed-point (128-bit).
 * Liquidity and amounts use u64/u128 with explicit scaling.
 */
import BN from "bn.js";
/** Convert a floating-point price to Q64.64 sqrt_price */
export declare function priceToSqrtPrice(price: number): bigint;
/** Convert a Q64.64 sqrt_price back to a floating-point price */
export declare function sqrtPriceToPrice(sqrtPrice: bigint): number;
/** Multiply two Q64.64 values (returns Q64.64) */
export declare function mulQ64(a: bigint, b: bigint): bigint;
/** Divide two Q64.64 values (a/b, returns Q64.64) */
export declare function divQ64(a: bigint, b: bigint): bigint;
/**
 * Compute base token delta for a given sqrt_price range and liquidity.
 *   Δbase = L * (√P_upper - √P_lower) / (√P_upper * √P_lower)
 */
export declare function getBaseDelta(sqrtPriceLower: bigint, sqrtPriceUpper: bigint, liquidity: bigint): bigint;
/**
 * Compute quote token delta for a given sqrt_price range and liquidity.
 *   Δquote = L * (√P_upper - √P_lower)
 */
export declare function getQuoteDelta(sqrtPriceLower: bigint, sqrtPriceUpper: bigint, liquidity: bigint): bigint;
/**
 * Given an exact-in quote amount, compute the next sqrt_price.
 * Used when buying (quote → base).
 *   √P_new = √P + amount / L
 */
export declare function getNextSqrtPriceFromQuoteIn(sqrtPrice: bigint, liquidity: bigint, amountIn: bigint): bigint;
/**
 * Given an exact-in base amount, compute the next sqrt_price.
 * Used when selling (base → quote).
 *   √P_new = (L * √P) / (L + amount * √P)
 */
export declare function getNextSqrtPriceFromBaseIn(sqrtPrice: bigint, liquidity: bigint, amountIn: bigint): bigint;
/** Apply a fee in basis points, returns { netAmount, fee } */
export declare function applyFeeBps(amount: bigint, feeBps: number): {
    netAmount: bigint;
    fee: bigint;
};
/** Apply a fee using FEE_DENOMINATOR (1e9) as used by DBC */
export declare function applyFeeNumerator(amount: bigint, feeNumerator: bigint): {
    netAmount: bigint;
    fee: bigint;
};
/**
 * Compute the entropy burn amount.
 * burn = reserve * max(0, accumulator - threshold) * sensitivity / 1e9
 */
export declare function computeEntropyBurn(inflationReserve: bigint, volatilityAccumulator: number, entropyThreshold: number, sensitivityBps: number): bigint;
/**
 * Compute the anti-gravity buy amount.
 * strength = (floor - current) / floor (capped at max_strength)
 * buy_amount = fee_reserve * strength
 */
export declare function computeAntiGravityBuy(currentSqrtPrice: bigint, athSqrtPrice: bigint, floorBps: number, maxStrengthBps: number, feeReserve: bigint): bigint;
/**
 * Compute conviction score for a lock position.
 * score = amount * duration_days * consistency_multiplier
 * multiplier = 1.0 + min(consecutive_epochs * 0.1, MAX_MULTIPLIER)
 */
export declare function computeConvictionScore(amount: bigint, durationSlots: bigint, consecutiveEpochs: number, epochDurationSlots: bigint): bigint;
/**
 * Compute conviction reward share for a single staker.
 * share = (staker_score / total_score) * epoch_revenue
 */
export declare function computeConvictionReward(stakerScore: bigint, totalScore: bigint, epochRevenue: bigint): bigint;
/**
 * Compute a wallet's behavioral bot score [0, 10000].
 * Higher = more bot-like.
 *
 * Factors:
 *   - trade_frequency: trades in 60 slots (>10 = suspicious, >30 = bot)
 *   - hold_duration: avg hold in slots (<10 = flipper, <3 = bot)
 *   - position_size: % of supply (>1000 bps = whale)
 */
export declare function computeBehaviorScore(tradeCountLast60Slots: number, avgHoldSlots: bigint, normalizedPositionBps: number): number;
/**
 * Update exponential moving average.
 * ema_new = alpha * value + (1 - alpha) * ema_old
 * alpha = (10000 - ema_decay_bps) / 10000
 */
export declare function updateEma(current: bigint, newValue: bigint, emaDacayBps: number): bigint;
/**
 * Compute signed sentiment score from buy/sell EMA volumes.
 * score = (buy_ema - sell_ema) / (buy_ema + sell_ema) * SENTIMENT_SCALE
 */
export declare function computeSentimentScore(emaBuyVolume: bigint, emaSellVolume: bigint, sentimentScale: bigint): bigint;
/**
 * Compute agent activity score [0, MAX_ACTIVITY_SCORE].
 * Weighted: tasks 40%, revenue 40%, uptime 20%
 */
export declare function computeAgentActivityScore(tasksCompleted: number, maxExpectedTasks: number, revenueGeneratedLamports: bigint, maxExpectedRevenueLamports: bigint, uptimeBps: number): number;
export declare function bnToBigInt(bn: BN): bigint;
export declare function bigIntToBN(n: bigint): BN;
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