How to use the partition function from lodash
Find comprehensive JavaScript lodash.partition code examples handpicked from public code repositorys.
lodash.partition is a function that creates two arrays based on a given array and a predicate function, where one array contains values that passed the predicate function and the other contains values that didn't.
294 295 296 297 298 299 300 301 302 303module.exports.padEnd = _.padEnd; module.exports.padStart = _.padStart; module.exports.parseInt = _.parseInt; module.exports.partial = _.partial; module.exports.partialRight = _.partialRight; module.exports.partition = _.partition; module.exports.partitionBy = _.partitionBy; module.exports.pick = _.pick; module.exports.pickBy = _.pickBy; module.exports.pickWhen = _.pickWhen;
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GitHub: mdmarufsarker/lodash
251 252 253 254 255 256 257 258 259 260 261 262 263console.log(map); // => [16, 64] const orderBy = _.orderBy(['a', 'b', 'c'], ['c', 'a'], ['desc', 'asc']); console.log(orderBy); // => ['c', 'a', 'b'] const partition = _.partition([1, 2, 3], n => n % 2); console.log(partition); // => [[1, 3], [2]] const reduce = _.reduce([1, 2], (sum, n) => sum + n, 0); console.log(reduce); // => 3
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How does lodash.partition work?
lodash.partition is a function that takes an array and a predicate function as inputs and returns two arrays: one with elements that satisfy the predicate and one with elements that don't satisfy the predicate.
Here's how it works: for each element in the input array, the predicate function is called with the element as its argument. If the predicate function returns true, the element is added to the first array; otherwise, it is added to the second array. The two arrays are returned as a tuple.
GitHub: FoodRates/vendors-menu
337 338 339 340 341 342 343 344 345 346orphans = false, supportSets = false ) { const { ADD, DELETE, SET } = diff(original, modified, orphans); const [_DELETE, _REMOVE] = supportSets ? _.partition( DELETE, (node) => regex.isNumericSubscript$.test(node.path) && (_.isNumber(node.value) || _.isString(node.value)) // @TODO: Support Node Buffer and/or ArrayBuffer sets?
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10 11 12 13 14 15 16 17 18 19 20 21{ 'user': 'pebbles', 'age': 1, 'active': false } ]; // lodash console.log("lod.partition(users, function(o) { return o.active; })", lod.partition(users, function(o) { return o.active; })); console.log("lod.partition(users, { 'age': 1, 'active': false })", lod.partition(users, { 'age': 1, 'active': false })); console.log("lod.partition(users, ['active', false])", lod.partition(users, ['active', false])); console.log('-----------------------------------------------');
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Ai Example
1 2 3 4 5 6 7 8 9 10const _ = require("lodash"); const nums = [1, 2, 3, 4, 5, 6, 7, 8, 9]; const isEven = (num) => num % 2 === 0; const [evens, odds] = _.partition(nums, isEven); console.log(evens); // [2, 4, 6, 8] console.log(odds); // [1, 3, 5, 7, 9]
In this example, lodash.partition is used to split an array of numbers into two arrays: one containing even numbers, and one containing odd numbers. The isEven function is used as the partitioning criteria, and it determines whether a number is even or odd. The resulting arrays are then logged to the console.
1400 1401 1402 1403 1404 1405 1406 1407 1408 1409var baseTxpSize = txp.getEstimatedSize(); var baseTxpFee = baseTxpSize * txp.feePerKb / 1000.; var sizePerInput = txp.getEstimatedSizeForSingleInput(); var feePerInput = sizePerInput * txp.feePerKb / 1000.; var partitionedByAmount = _.partition(inputs, function(input) { return input.satoshis > feePerInput; }); info.utxosBelowFee = partitionedByAmount[1].length;
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204 205 206 207 208 209 210 211 212 213 214 215 216const skip = (n, enumerator) => iterator(skipGen(n, enumerator)); // TODO: implement take as a stateful transformer/transducer for composability function partition(collection, predicate, matchesKey = 'matches', rejectsKey = 'rejects', optional = true) { const [truthy, falsey] = _.partition(collection, predicate); let result = {}; if (optional) { if (!_.isEmpty(truthy)) { result[matchesKey] = truthy;
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138 139 140 141 142 143 144 145 146 147 148 149// partitionby // users2 = _.partition(users, o => o.active); // log(users2); // partion of active users and inactive users; // users2 = _.partition(users, { active : true}); // log(users2); // users2 = _.partition(users, ['active', false]); // log(users2);
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