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emergent-agent-e1
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{"dependencies":[{"name":"@babel/runtime/helpers/classCallCheck","data":{"asyncType":null,"isESMImport":false,"locs":[],"key":"yg7e6laZwmpbIvId5jovq9ugXp8=","exportNames":["*"],"imports":1}},{"name":"@babel/runtime/helpers/createClass","data":{"asyncType":null,"isESMImport":false,"locs":[],"key":"Z6pzkVZ2fvxBLkFTgVVOy4UDj30=","exportNames":["*"],"imports":1}},{"name":"../utils.js","data":{"asyncType":null,"isESMImport":false,"locs":[{"start":{"line":17,"column":19,"index":566},"end":{"line":17,"column":41,"index":588}}],"key":"Yc7DmwhweSDBIC4bv+r2fO8xp6U=","exportNames":["*"],"imports":1}},{"name":"./modular.js","data":{"asyncType":null,"isESMImport":false,"locs":[{"start":{"line":18,"column":21,"index":611},"end":{"line":18,"column":44,"index":634}}],"key":"pkHxIsiyj9LvPZma2E+OjOIbg7k=","exportNames":["*"],"imports":1}}],"output":[{"data":{"code":"__d(function (global, require, _$$_IMPORT_DEFAULT, _$$_IMPORT_ALL, module, exports, _dependencyMap) {\n \"use strict\";\n\n var _classCallCheck = require(_dependencyMap[0], \"@babel/runtime/helpers/classCallCheck\").default;\n var _createClass = require(_dependencyMap[1], \"@babel/runtime/helpers/createClass\").default;\n Object.defineProperty(exports, \"__esModule\", {\n value: true\n });\n exports.wNAF = void 0;\n exports.negateCt = negateCt;\n exports.normalizeZ = normalizeZ;\n exports.mulEndoUnsafe = mulEndoUnsafe;\n exports.pippenger = pippenger;\n exports.precomputeMSMUnsafe = precomputeMSMUnsafe;\n exports.validateBasic = validateBasic;\n exports._createCurveFields = _createCurveFields;\n /**\n * Methods for elliptic curve multiplication by scalars.\n * Contains wNAF, pippenger.\n * @module\n */\n /*! noble-curves - MIT License (c) 2022 Paul Miller (paulmillr.com) */\n var utils_ts_1 = require(_dependencyMap[2], \"../utils.js\");\n var modular_ts_1 = require(_dependencyMap[3], \"./modular.js\");\n var _0n = BigInt(0);\n var _1n = BigInt(1);\n function negateCt(condition, item) {\n var neg = item.negate();\n return condition ? neg : item;\n }\n /**\n * Takes a bunch of Projective Points but executes only one\n * inversion on all of them. Inversion is very slow operation,\n * so this improves performance massively.\n * Optimization: converts a list of projective points to a list of identical points with Z=1.\n */\n function normalizeZ(c, points) {\n var invertedZs = (0, modular_ts_1.FpInvertBatch)(c.Fp, points.map(function (p) {\n return p.Z;\n }));\n return points.map(function (p, i) {\n return c.fromAffine(p.toAffine(invertedZs[i]));\n });\n }\n function validateW(W, bits) {\n if (!Number.isSafeInteger(W) || W <= 0 || W > bits) throw new Error('invalid window size, expected [1..' + bits + '], got W=' + W);\n }\n function calcWOpts(W, scalarBits) {\n validateW(W, scalarBits);\n var windows = Math.ceil(scalarBits / W) + 1; // W=8 33. Not 32, because we skip zero\n var windowSize = 2 ** (W - 1); // W=8 128. Not 256, because we skip zero\n var maxNumber = 2 ** W; // W=8 256\n var mask = (0, utils_ts_1.bitMask)(W); // W=8 255 == mask 0b11111111\n var shiftBy = BigInt(W); // W=8 8\n return {\n windows: windows,\n windowSize: windowSize,\n mask: mask,\n maxNumber: maxNumber,\n shiftBy: shiftBy\n };\n }\n function calcOffsets(n, window, wOpts) {\n var windowSize = wOpts.windowSize,\n mask = wOpts.mask,\n maxNumber = wOpts.maxNumber,\n shiftBy = wOpts.shiftBy;\n var wbits = Number(n & mask); // extract W bits.\n var nextN = n >> shiftBy; // shift number by W bits.\n // What actually happens here:\n // const highestBit = Number(mask ^ (mask >> 1n));\n // let wbits2 = wbits - 1; // skip zero\n // if (wbits2 & highestBit) { wbits2 ^= Number(mask); // (~);\n // split if bits > max: +224 => 256-32\n if (wbits > windowSize) {\n // we skip zero, which means instead of `>= size-1`, we do `> size`\n wbits -= maxNumber; // -32, can be maxNumber - wbits, but then we need to set isNeg here.\n nextN += _1n; // +256 (carry)\n }\n var offsetStart = window * windowSize;\n var offset = offsetStart + Math.abs(wbits) - 1; // -1 because we skip zero\n var isZero = wbits === 0; // is current window slice a 0?\n var isNeg = wbits < 0; // is current window slice negative?\n var isNegF = window % 2 !== 0; // fake random statement for noise\n var offsetF = offsetStart; // fake offset for noise\n return {\n nextN: nextN,\n offset: offset,\n isZero: isZero,\n isNeg: isNeg,\n isNegF: isNegF,\n offsetF: offsetF\n };\n }\n function validateMSMPoints(points, c) {\n if (!Array.isArray(points)) throw new Error('array expected');\n points.forEach(function (p, i) {\n if (!(p instanceof c)) throw new Error('invalid point at index ' + i);\n });\n }\n function validateMSMScalars(scalars, field) {\n if (!Array.isArray(scalars)) throw new Error('array of scalars expected');\n scalars.forEach(function (s, i) {\n if (!field.isValid(s)) throw new Error('invalid scalar at index ' + i);\n });\n }\n // Since points in different groups cannot be equal (different object constructor),\n // we can have single place to store precomputes.\n // Allows to make points frozen / immutable.\n var pointPrecomputes = new WeakMap();\n var pointWindowSizes = new WeakMap();\n function getW(P) {\n // To disable precomputes:\n // return 1;\n return pointWindowSizes.get(P) || 1;\n }\n function assert0(n) {\n if (n !== _0n) throw new Error('invalid wNAF');\n }\n /**\n * Elliptic curve multiplication of Point by scalar. Fragile.\n * Table generation takes **30MB of ram and 10ms on high-end CPU**,\n * but may take much longer on slow devices. Actual generation will happen on\n * first call of `multiply()`. By default, `BASE` point is precomputed.\n *\n * Scalars should always be less than curve order: this should be checked inside of a curve itself.\n * Creates precomputation tables for fast multiplication:\n * - private scalar is split by fixed size windows of W bits\n * - every window point is collected from window's table & added to accumulator\n * - since windows are different, same point inside tables won't be accessed more than once per calc\n * - each multiplication is 'Math.ceil(CURVE_ORDER / 𝑊) + 1' point additions (fixed for any scalar)\n * - +1 window is neccessary for wNAF\n * - wNAF reduces table size: 2x less memory + 2x faster generation, but 10% slower multiplication\n *\n * @todo Research returning 2d JS array of windows, instead of a single window.\n * This would allow windows to be in different memory locations\n */\n var wNAF = /*#__PURE__*/function () {\n // Parametrized with a given Point class (not individual point)\n function wNAF(Point, bits) {\n _classCallCheck(this, wNAF);\n this.BASE = Point.BASE;\n this.ZERO = Point.ZERO;\n this.Fn = Point.Fn;\n this.bits = bits;\n }\n // non-const time multiplication ladder\n return _createClass(wNAF, [{\n key: \"_unsafeLadder\",\n value: function _unsafeLadder(elm, n) {\n var p = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : this.ZERO;\n var d = elm;\n while (n > _0n) {\n if (n & _1n) p = p.add(d);\n d = d.double();\n n >>= _1n;\n }\n return p;\n }\n /**\n * Creates a wNAF precomputation window. Used for caching.\n * Default window size is set by `utils.precompute()` and is equal to 8.\n * Number of precomputed points depends on the curve size:\n * 2^(𝑊−1) * (Math.ceil(𝑛 / 𝑊) + 1), where:\n * - 𝑊 is the window size\n * - 𝑛 is the bitlength of the curve order.\n * For a 256-bit curve and window size 8, the number of precomputed points is 128 * 33 = 4224.\n * @param point Point instance\n * @param W window size\n * @returns precomputed point tables flattened to a single array\n */\n }, {\n key: \"precomputeWindow\",\n value: function precomputeWindow(point, W) {\n var _calcWOpts = calcWOpts(W, this.bits),\n windows = _calcWOpts.windows,\n windowSize = _calcWOpts.windowSize;\n var points = [];\n var p = point;\n var base = p;\n for (var window = 0; window < windows; window++) {\n base = p;\n points.push(base);\n // i=1, bc we skip 0\n for (var i = 1; i < windowSize; i++) {\n base = base.add(p);\n points.push(base);\n }\n p = base.double();\n }\n return points;\n }\n /**\n * Implements ec multiplication using precomputed tables and w-ary non-adjacent form.\n * More compact implementation:\n * https://github.com/paulmillr/noble-secp256k1/blob/47cb1669b6e506ad66b35fe7d76132ae97465da2/index.ts#L502-L541\n * @returns real and fake (for const-time) points\n */\n }, {\n key: \"wNAF\",\n value: function wNAF(W, precomputes, n) {\n // Scalar should be smaller than field order\n if (!this.Fn.isValid(n)) throw new Error('invalid scalar');\n // Accumulators\n var p = this.ZERO;\n var f = this.BASE;\n // This code was first written with assumption that 'f' and 'p' will never be infinity point:\n // since each addition is multiplied by 2 ** W, it cannot cancel each other. However,\n // there is negate now: it is possible that negated element from low value\n // would be the same as high element, which will create carry into next window.\n // It's not obvious how this can fail, but still worth investigating later.\n var wo = calcWOpts(W, this.bits);\n for (var window = 0; window < wo.windows; window++) {\n // (n === _0n) is handled and not early-exited. isEven and offsetF are used for noise\n var _calcOffsets = calcOffsets(n, window, wo),\n nextN = _calcOffsets.nextN,\n offset = _calcOffsets.offset,\n isZero = _calcOffsets.isZero,\n isNeg = _calcOffsets.isNeg,\n isNegF = _calcOffsets.isNegF,\n offsetF = _calcOffsets.offsetF;\n n = nextN;\n if (isZero) {\n // bits are 0: add garbage to fake point\n // Important part for const-time getPublicKey: add random \"noise\" point to f.\n f = f.add(negateCt(isNegF, precomputes[offsetF]));\n } else {\n // bits are 1: add to result point\n p = p.add(negateCt(isNeg, precomputes[offset]));\n }\n }\n assert0(n);\n // Return both real and fake points: JIT won't eliminate f.\n // At this point there is a way to F be infinity-point even if p is not,\n // which makes it less const-time: around 1 bigint multiply.\n return {\n p: p,\n f: f\n };\n }\n /**\n * Implements ec unsafe (non const-time) multiplication using precomputed tables and w-ary non-adjacent form.\n * @param acc accumulator point to add result of multiplication\n * @returns point\n */\n }, {\n key: \"wNAFUnsafe\",\n value: function wNAFUnsafe(W, precomputes, n) {\n var acc = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : this.ZERO;\n var wo = calcWOpts(W, this.bits);\n for (var window = 0; window < wo.windows; window++) {\n if (n === _0n) break; // Early-exit, skip 0 value\n var _calcOffsets2 = calcOffsets(n, window, wo),\n nextN = _calcOffsets2.nextN,\n offset = _calcOffsets2.offset,\n isZero = _calcOffsets2.isZero,\n isNeg = _calcOffsets2.isNeg;\n n = nextN;\n if (isZero) {\n // Window bits are 0: skip processing.\n // Move to next window.\n continue;\n } else {\n var item = precomputes[offset];\n acc = acc.add(isNeg ? item.negate() : item); // Re-using acc allows to save adds in MSM\n }\n }\n assert0(n);\n return acc;\n }\n }, {\n key: \"getPrecomputes\",\n value: function getPrecomputes(W, point, transform) {\n // Calculate precomputes on a first run, reuse them after\n var comp = pointPrecomputes.get(point);\n if (!comp) {\n comp = this.precomputeWindow(point, W);\n if (W !== 1) {\n // Doing transform outside of if brings 15% perf hit\n if (typeof transform === 'function') comp = transform(comp);\n pointPrecomputes.set(point, comp);\n }\n }\n return comp;\n }\n }, {\n key: \"cached\",\n value: function cached(point, scalar, transform) {\n var W = getW(point);\n return this.wNAF(W, this.getPrecomputes(W, point, transform), scalar);\n }\n }, {\n key: \"unsafe\",\n value: function unsafe(point, scalar, transform, prev) {\n var W = getW(point);\n if (W === 1) return this._unsafeLadder(point, scalar, prev); // For W=1 ladder is ~x2 faster\n return this.wNAFUnsafe(W, this.getPrecomputes(W, point, transform), scalar, prev);\n }\n // We calculate precomputes for elliptic curve point multiplication\n // using windowed method. This specifies window size and\n // stores precomputed values. Usually only base point would be precomputed.\n }, {\n key: \"createCache\",\n value: function createCache(P, W) {\n validateW(W, this.bits);\n pointWindowSizes.set(P, W);\n pointPrecomputes.delete(P);\n }\n }, {\n key: \"hasCache\",\n value: function hasCache(elm) {\n return getW(elm) !== 1;\n }\n }]);\n }();\n exports.wNAF = wNAF;\n /**\n * Endomorphism-specific multiplication for Koblitz curves.\n * Cost: 128 dbl, 0-256 adds.\n */\n function mulEndoUnsafe(Point, point, k1, k2) {\n var acc = point;\n var p1 = Point.ZERO;\n var p2 = Point.ZERO;\n while (k1 > _0n || k2 > _0n) {\n if (k1 & _1n) p1 = p1.add(acc);\n if (k2 & _1n) p2 = p2.add(acc);\n acc = acc.double();\n k1 >>= _1n;\n k2 >>= _1n;\n }\n return {\n p1: p1,\n p2: p2\n };\n }\n /**\n * Pippenger algorithm for multi-scalar multiplication (MSM, Pa + Qb + Rc + ...).\n * 30x faster vs naive addition on L=4096, 10x faster than precomputes.\n * For N=254bit, L=1, it does: 1024 ADD + 254 DBL. For L=5: 1536 ADD + 254 DBL.\n * Algorithmically constant-time (for same L), even when 1 point + scalar, or when scalar = 0.\n * @param c Curve Point constructor\n * @param fieldN field over CURVE.N - important that it's not over CURVE.P\n * @param points array of L curve points\n * @param scalars array of L scalars (aka secret keys / bigints)\n */\n function pippenger(c, fieldN, points, scalars) {\n // If we split scalars by some window (let's say 8 bits), every chunk will only\n // take 256 buckets even if there are 4096 scalars, also re-uses double.\n // TODO:\n // - https://eprint.iacr.org/2024/750.pdf\n // - https://tches.iacr.org/index.php/TCHES/article/view/10287\n // 0 is accepted in scalars\n validateMSMPoints(points, c);\n validateMSMScalars(scalars, fieldN);\n var plength = points.length;\n var slength = scalars.length;\n if (plength !== slength) throw new Error('arrays of points and scalars must have equal length');\n // if (plength === 0) throw new Error('array must be of length >= 2');\n var zero = c.ZERO;\n var wbits = (0, utils_ts_1.bitLen)(BigInt(plength));\n var windowSize = 1; // bits\n if (wbits > 12) windowSize = wbits - 3;else if (wbits > 4) windowSize = wbits - 2;else if (wbits > 0) windowSize = 2;\n var MASK = (0, utils_ts_1.bitMask)(windowSize);\n var buckets = new Array(Number(MASK) + 1).fill(zero); // +1 for zero array\n var lastBits = Math.floor((fieldN.BITS - 1) / windowSize) * windowSize;\n var sum = zero;\n for (var i = lastBits; i >= 0; i -= windowSize) {\n buckets.fill(zero);\n for (var j = 0; j < slength; j++) {\n var scalar = scalars[j];\n var _wbits = Number(scalar >> BigInt(i) & MASK);\n buckets[_wbits] = buckets[_wbits].add(points[j]);\n }\n var resI = zero; // not using this will do small speed-up, but will lose ct\n // Skip first bucket, because it is zero\n for (var _j = buckets.length - 1, sumI = zero; _j > 0; _j--) {\n sumI = sumI.add(buckets[_j]);\n resI = resI.add(sumI);\n }\n sum = sum.add(resI);\n if (i !== 0) for (var _j2 = 0; _j2 < windowSize; _j2++) sum = sum.double();\n }\n return sum;\n }\n /**\n * Precomputed multi-scalar multiplication (MSM, Pa + Qb + Rc + ...).\n * @param c Curve Point constructor\n * @param fieldN field over CURVE.N - important that it's not over CURVE.P\n * @param points array of L curve points\n * @returns function which multiplies points with scaars\n */\n function precomputeMSMUnsafe(c, fieldN, points, windowSize) {\n /**\n * Performance Analysis of Window-based Precomputation\n *\n * Base Case (256-bit scalar, 8-bit window):\n * - Standard precomputation requires:\n * - 31 additions per scalar × 256 scalars = 7,936 ops\n * - Plus 255 summary additions = 8,191 total ops\n * Note: Summary additions can be optimized via accumulator\n *\n * Chunked Precomputation Analysis:\n * - Using 32 chunks requires:\n * - 255 additions per chunk\n * - 256 doublings\n * - Total: (255 × 32) + 256 = 8,416 ops\n *\n * Memory Usage Comparison:\n * Window Size | Standard Points | Chunked Points\n * ------------|-----------------|---------------\n * 4-bit | 520 | 15\n * 8-bit | 4,224 | 255\n * 10-bit | 13,824 | 1,023\n * 16-bit | 557,056 | 65,535\n *\n * Key Advantages:\n * 1. Enables larger window sizes due to reduced memory overhead\n * 2. More efficient for smaller scalar counts:\n * - 16 chunks: (16 × 255) + 256 = 4,336 ops\n * - ~2x faster than standard 8,191 ops\n *\n * Limitations:\n * - Not suitable for plain precomputes (requires 256 constant doublings)\n * - Performance degrades with larger scalar counts:\n * - Optimal for ~256 scalars\n * - Less efficient for 4096+ scalars (Pippenger preferred)\n */\n validateW(windowSize, fieldN.BITS);\n validateMSMPoints(points, c);\n var zero = c.ZERO;\n var tableSize = 2 ** windowSize - 1; // table size (without zero)\n var chunks = Math.ceil(fieldN.BITS / windowSize); // chunks of item\n var MASK = (0, utils_ts_1.bitMask)(windowSize);\n var tables = points.map(function (p) {\n var res = [];\n for (var i = 0, acc = p; i < tableSize; i++) {\n res.push(acc);\n acc = acc.add(p);\n }\n return res;\n });\n return function (scalars) {\n validateMSMScalars(scalars, fieldN);\n if (scalars.length > points.length) throw new Error('array of scalars must be smaller than array of points');\n var res = zero;\n for (var i = 0; i < chunks; i++) {\n // No need to double if accumulator is still zero.\n if (res !== zero) for (var j = 0; j < windowSize; j++) res = res.double();\n var shiftBy = BigInt(chunks * windowSize - (i + 1) * windowSize);\n for (var _j3 = 0; _j3 < scalars.length; _j3++) {\n var n = scalars[_j3];\n var curr = Number(n >> shiftBy & MASK);\n if (!curr) continue; // skip zero scalars chunks\n res = res.add(tables[_j3][curr - 1]);\n }\n }\n return res;\n };\n }\n // TODO: remove\n /** @deprecated */\n function validateBasic(curve) {\n (0, modular_ts_1.validateField)(curve.Fp);\n (0, utils_ts_1.validateObject)(curve, {\n n: 'bigint',\n h: 'bigint',\n Gx: 'field',\n Gy: 'field'\n }, {\n nBitLength: 'isSafeInteger',\n nByteLength: 'isSafeInteger'\n });\n // Set defaults\n return Object.freeze(Object.assign({}, (0, modular_ts_1.nLength)(curve.n, curve.nBitLength), curve, {\n p: curve.Fp.ORDER\n }));\n }\n function createField(order, field, isLE) {\n if (field) {\n if (field.ORDER !== order) throw new Error('Field.ORDER must match order: Fp == p, Fn == n');\n (0, modular_ts_1.validateField)(field);\n return field;\n } else {\n return (0, modular_ts_1.Field)(order, {\n isLE: isLE\n });\n }\n }\n /** Validates CURVE opts and creates fields */\n function _createCurveFields(type, CURVE) {\n var curveOpts = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : {};\n var FpFnLE = arguments.length > 3 ? arguments[3] : undefined;\n if (FpFnLE === undefined) FpFnLE = type === 'edwards';\n if (!CURVE || typeof CURVE !== 'object') throw new Error(`expected valid ${type} CURVE object`);\n for (var p of ['p', 'n', 'h']) {\n var val = CURVE[p];\n if (!(typeof val === 'bigint' && val > _0n)) throw new Error(`CURVE.${p} must be positive bigint`);\n }\n var Fp = createField(CURVE.p, curveOpts.Fp, FpFnLE);\n var Fn = createField(CURVE.n, curveOpts.Fn, FpFnLE);\n var _b = type === 'weierstrass' ? 'b' : 'd';\n var params = ['Gx', 'Gy', 'a', _b];\n for (var _p of params) {\n // @ts-ignore\n if (!Fp.isValid(CURVE[_p])) throw new Error(`CURVE.${_p} must be valid field element of CURVE.Fp`);\n }\n CURVE = Object.freeze(Object.assign({}, CURVE));\n return {\n CURVE: CURVE,\n Fp: Fp,\n Fn: Fn\n };\n 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