How to use the append function from ramda
Find comprehensive JavaScript ramda.append code examples handpicked from public code repositorys.
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// View const update = (action, model) => Action.case({ Insert: () => R.evolve({nextId: R.add(1), counters: R.append([model.nextId, counter.init(0)])}, model), Remove: () => R.evolve({counters: R.tail}, model), Modify: (id, counterAction) => R.evolve({counters: R.map((c) => { const [counterId, counterModel] = c;
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GitHub: curran/gadm-geojson
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} function changeEndPath(folderName, path) { const pathAsArray = R.split('/', path); const initOfPath = R.init(pathAsArray); const folderAddedToPath = R.append(folderName, initOfPath); return R.join('/', folderAddedToPath); }
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GitHub: alvaro-cuesta/aoc-js
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'cwd', dir === '/' ? R.always([]) : dir === '..' ? R.slice(0, -1) : R.append(dir), state, ) } else if (command === 'ls') { const fileSizes = parseDirOutput(output)
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// console.log(totalCost / cityCount); const groupByPropReducer = (acc, city) => { const { cost = [], internetSpeed = [] } = acc; return R.merge(acc, { cost: R.append(city.cost, cost), internetSpeed: R.append(city.internetSpeed, internetSpeed) }); };
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GitHub: VesaLahd/aoc2022
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const targetMonkeys = R.map(worry => monkeys[index][monkeys[index].test(worry)], worries) const currentMonkey = R.lensIndex(index) return R.compose( R.reduce((acc, [item, target]) => R.over( R.compose(R.lensIndex(target), R.lensProp('items')), R.append(item) )(acc), R.__, R.zip(worries, targetMonkeys)), R.over(currentMonkey, R.assoc('items', [])), R.over(R.compose(currentMonkey, R.lensProp('inspects')), R.add(R.length(worries))) )(monkeys)
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+ 3 other calls in file
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* @see R.prepend * @example * * R.append('tests', ['write', 'more']); //=> ['write', 'more', 'tests'] * R.append('tests', []); //=> ['tests'] * R.append(['tests'], ['write', 'more']); //=> ['write', 'more', ['tests']] */ var append = _curry2(function append(el, list) { return _concat(list, [el]); });
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+ 71 other calls in file
GitHub: octachrome/t2
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const UINT32_MAX = Math.pow(2, 32) - 1; const PRIMES = [160481183, 179424673, 198491317, 217645177]; const Rand = { _nextSeed: seed => R.append(pureRandom.randUint(seed), R.slice(1, 4, seed)), _random: (seed, min, max) => Math.round(min + pureRandom.randUint(seed) / UINT32_MAX * (max - min)), makeSeed: (iseed, n) => iseed ? R.reduceRight(R.compose, R.identity, R.repeat(Rand._nextSeed, n || 10))(PRIMES.map(p => p * iseed)) : pureRandom.genSeed(),
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+ 6 other calls in file
GitHub: octachrome/t2
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const snd = require('crocks/Pair/snd'); const UINT32_MAX = Math.pow(2, 32) - 1; const PRIMES = [160481183, 179424673, 198491317, 217645177]; const nextGen = gen => R.append(pureRandom.randUint(gen), R.slice(1, 4, gen)); const mkStdGen = (seed, n) => seed ? R.reduceRight(R.compose, R.identity, R.repeat(nextGen, n || 10))(PRIMES.map(p => p * seed)) : pureRandom.genSeed(); const random = (seed, min, max) => Math.round(min + pureRandom.randUint(seed) / UINT32_MAX * (max - min)); const foldM = (f, a, list) => {
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+ 4 other calls in file
GitHub: desenmeng/ramda
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var orderDependencies = function orderDependencies(graph) { var recur = function recur(ins, outs) { if (R.isEmpty(ins)) { return outs; } else if (R.all(R.contains(_, outs), graph[R.head(ins)])) { return recur(R.tail(ins), R.append(R.head(ins), outs)); } else { return recur(R.append(R.head(ins), R.tail(ins)), outs); } };
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GitHub: jsdevlib/js-samples
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const groupByPropReducer = (acc, city) => { const { cost = [], internetSpeed = [] } = acc; return R.merge(acc, { cost: R.append(city.cost, cost), internetSpeed: R.append(city.internetSpeed, internetSpeed), }); } const groupedByProp = R.reduce(groupByPropReducer, {}, cities);
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+ 5 other calls in file
GitHub: abhirxl/acceye
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}; const executeIfResultIsSuccessful = R.curry(async (fn, result) => { let currentResult = await fn(); return transformResult((currentValue) => { return R.append(currentValue, result); })(currentResult); }) module.exports = onSuccess;
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GitHub: jcla1/AdventOfCode
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const grainCount = fillWithSand(board, limits); console.log(grainCount); const ylim = limits[1][1] + 2; const linesAndFloor = R.append([ [500 - ylim, ylim], [500 + ylim, ylim]], lines); const caveLimits = getLimits(linesAndFloor);
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GitHub: VesaLahd/aoc2022
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const column = (cave, c) => R.compose( R.map(R.nth(R.__, cave)), R.map(coordinatesToIndex), R.apply(R.xprod), R.append(R.__, [[c]]) )(R.range(0, normalizedMax[1] + 1)) const row = (cave, r) => R.slice(r * (normalizedMax[0] + 1), (r+1) * (normalizedMax[0] + 1), cave) const cave = Array(R.apply(R.multiply)(R.map(R.inc, normalizeCoordinates(maxDimensions)))).fill('.')
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+ 2 other calls in file
GitHub: jcla1/AdventOfCode
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R.reduce(R.mergeWith(R.merge), {}), R.map(R.compose( R.assocPath(R.__, 1, {}), R.map(R.toString))), R.append(end), R.unfold((pos) => { if (R.equals(pos, end)) return false; return [pos, R.zipWith(R.add, pos, direction)]; }))(start);
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GitHub: despan/choker
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const winFor = (acc, next) => { const isIncluded = R.lte(next - interval) const list = R.takeLastWhile(isIncluded, acc) return R.append(next, list) } const windows = R.scan(winFor, [], log)
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R.compose( R.prepend('x'), R.pluck(0) )(series[0]) ), series => R.append( others(limit)(otherLabel)(series), R.take(limit, series) ), R.sort((a, b) => R.sum(R.tail(b)) - R.sum(R.tail(a))),
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ramda.clone is the most popular function in ramda (30311 examples)