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+/* This Source Code Form is subject to the terms of the Mozilla Public
+ * License, v. 2.0. If a copy of the MPL was not distributed with this
+ * file, You can obtain one at http://mozilla.org/MPL/2.0/. */
+
+const hashBits = 48;
+const hashLength = hashBits / 4; // each hexadecimal digit represents 4 bits
+const hashMultiplier = Math.pow(2, hashBits) - 1;
+
+export var Sampling = {
+ /**
+ * Map from the range [0, 1] to [0, 2^48].
+ * @param {number} frac A float from 0.0 to 1.0.
+ * @return {string} A 48 bit number represented in hex, padded to 12 characters.
+ */
+ fractionToKey(frac) {
+ if (frac < 0 || frac > 1) {
+ throw new Error(`frac must be between 0 and 1 inclusive (got ${frac})`);
+ }
+
+ return Math.floor(frac * hashMultiplier)
+ .toString(16)
+ .padStart(hashLength, "0");
+ },
+
+ /**
+ * @param {ArrayBuffer} buffer Data to convert
+ * @returns {String} `buffer`'s content, converted to a hexadecimal string.
+ */
+ bufferToHex(buffer) {
+ const hexCodes = [];
+ const view = new DataView(buffer);
+ for (let i = 0; i < view.byteLength; i += 4) {
+ // Using getUint32 reduces the number of iterations needed (we process 4 bytes each time)
+ const value = view.getUint32(i);
+ // toString(16) will give the hex representation of the number without padding
+ hexCodes.push(value.toString(16).padStart(8, "0"));
+ }
+
+ // Join all the hex strings into one
+ return hexCodes.join("");
+ },
+
+ /**
+ * Check if an input hash is contained in a bucket range.
+ *
+ * isHashInBucket(fractionToKey(0.5), 3, 6, 10) -> returns true
+ *
+ * minBucket
+ * | hash
+ * v v
+ * [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
+ * ^
+ * maxBucket
+ *
+ * @param inputHash {String}
+ * @param minBucket {int} The lower boundary, inclusive, of the range to check.
+ * @param maxBucket {int} The upper boundary, exclusive, of the range to check.
+ * @param bucketCount {int} The total number of buckets. Should be greater than
+ * or equal to maxBucket.
+ */
+ isHashInBucket(inputHash, minBucket, maxBucket, bucketCount) {
+ const minHash = Sampling.fractionToKey(minBucket / bucketCount);
+ const maxHash = Sampling.fractionToKey(maxBucket / bucketCount);
+ return minHash <= inputHash && inputHash < maxHash;
+ },
+
+ /**
+ * @promise A hash of `data`, truncated to the 12 most significant characters.
+ */
+ async truncatedHash(data) {
+ const hasher = crypto.subtle;
+ const input = new TextEncoder().encode(JSON.stringify(data));
+ const hash = await hasher.digest("SHA-256", input);
+ // truncate hash to 12 characters (2^48), because the full hash is larger
+ // than JS can meaningfully represent as a number.
+ return Sampling.bufferToHex(hash).slice(0, 12);
+ },
+
+ /**
+ * Sample by splitting the input into two buckets, one with a size (rate) and
+ * another with a size (1.0 - rate), and then check if the input's hash falls
+ * into the first bucket.
+ *
+ * @param {object} input Input to hash to determine the sample.
+ * @param {Number} rate Number between 0.0 and 1.0 to sample at. A value of
+ * 0.25 returns true 25% of the time.
+ * @promises {boolean} True if the input is in the sample.
+ */
+ async stableSample(input, rate) {
+ const inputHash = await Sampling.truncatedHash(input);
+ const samplePoint = Sampling.fractionToKey(rate);
+
+ return inputHash < samplePoint;
+ },
+
+ /**
+ * Sample by splitting the input space into a series of buckets, and checking
+ * if the given input is in a range of buckets.
+ *
+ * The range to check is defined by a start point and length, and can wrap
+ * around the input space. For example, if there are 100 buckets, and we ask to
+ * check 50 buckets starting from bucket 70, then buckets 70-99 and 0-19 will
+ * be checked.
+ *
+ * @param {object} input Input to hash to determine the matching bucket.
+ * @param {integer} start Index of the bucket to start checking.
+ * @param {integer} count Number of buckets to check.
+ * @param {integer} total Total number of buckets to group inputs into.
+ * @promises {boolean} True if the given input is within the range of buckets
+ * we're checking. */
+ async bucketSample(input, start, count, total) {
+ const inputHash = await Sampling.truncatedHash(input);
+ const wrappedStart = start % total;
+ const end = wrappedStart + count;
+
+ // If the range we're testing wraps, we have to check two ranges: from start
+ // to max, and from min to end.
+ if (end > total) {
+ return (
+ Sampling.isHashInBucket(inputHash, 0, end % total, total) ||
+ Sampling.isHashInBucket(inputHash, wrappedStart, total, total)
+ );
+ }
+
+ return Sampling.isHashInBucket(inputHash, wrappedStart, end, total);
+ },
+
+ /**
+ * Sample over a list of ratios such that, over the input space, each ratio
+ * has a number of matches in correct proportion to the other ratios.
+ *
+ * For example, given the ratios:
+ *
+ * [1, 2, 3, 4]
+ *
+ * 10% of all inputs will return 0, 20% of all inputs will return 1, 30% will
+ * return 2, and 40% will return 3. You can determine the percent of inputs
+ * that will return an index by dividing the ratio by the sum of all ratios
+ * passed in. In the case above, 4 / (1 + 2 + 3 + 4) == 0.4, or 40% of the
+ * inputs.
+ *
+ * @param {object} input
+ * @param {Array<integer>} ratios
+ * @promises {integer}
+ * Index of the ratio that matched the input
+ * @rejects {Error}
+ * If the list of ratios doesn't have at least one element
+ */
+ async ratioSample(input, ratios) {
+ if (ratios.length < 1) {
+ throw new Error(
+ `ratios must be at least 1 element long (got length: ${ratios.length})`
+ );
+ }
+
+ const inputHash = await Sampling.truncatedHash(input);
+ const ratioTotal = ratios.reduce((acc, ratio) => acc + ratio);
+
+ let samplePoint = 0;
+ for (let k = 0; k < ratios.length - 1; k++) {
+ samplePoint += ratios[k];
+ if (inputHash <= Sampling.fractionToKey(samplePoint / ratioTotal)) {
+ return k;
+ }
+ }
+
+ // No need to check the last bucket if the others didn't match.
+ return ratios.length - 1;
+ },
+};