JSPM

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  • License Apache-2.0

Various JS utilities.

Package Exports

  • @xcmats/js-toolbox

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (@xcmats/js-toolbox) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

js-toolbox

Various JS utilities.

prerequisities installation

$ npm install

usage / experimenting

$ npm start
🎉  Successfully compiled 7 files with Babel.
> array
{ flatten: [Function: flatten],
  head: [Function: head],
  init: [Function: init],
  last: [Function: last],
  range: [Function: range],
  shuffle: [Function: shuffle],
  sparse: [Function: sparse],
  tail: [Function: tail] }

> async
{ delay: [Function: delay],
  interval: [Function: interval],
  timeout: [Function: timeout] }

> math
{ log10: [Function: log10],
  log2: [Function: log2],
  roundIfClose: [Function: roundIfClose] }

> redux
{ createReducer: [Function: createReducer] }

> string
{ big: [Function],
  camelToPascal: [Function: camelToPascal],
  camelToSnake: [Function: camelToSnake],
  capitalize: [Function: capitalize],
  empty: [Function: empty],
  pascalToCamel: [Function: pascalToCamel],
  pascalToSnake: [Function: pascalToSnake],
  snakeToCamel: [Function: snakeToCamel],
  snakeToPascal: [Function: snakeToPascal] }

> utils
{ choose: [Function: choose],
  dict: [Function: dict],
  handleException: [Function: handleException],
  swap: [Function: swap],
  Y: [Function: Y] }

examples

> array.range(10)
[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ]
> array.sparse(1024, 8)
[ 6, 34, 170, 422, 530, 643, 855, 862 ]
> array.shuffle(array.range(12))
[ 9, 7, 0, 8, 2, 10, 3, 1, 11, 4, 5, 6 ]
> string.camelToSnake('someNightsIStayUpCashingInMyBadLuck')
'some_nights_i_stay_up_cashing_in_my_bad_luck'
> string.snakeToCamel('some_nights_i_call_it_a_draw')
'someNightsICallItADraw'
> utils.dict([['a', 'b'], ['c', 'd'], ['e', 'f']])
{ a: 'b', c: 'd', e: 'f' }
> array.flatten(Object.entries({ a: 'b', c: 'd', e: 'f' }))
[ 'a', 'b', 'c', 'd', 'e', 'f' ]
> utils.swap({ a: 'b', c: 'd', e: 'f' })
{ b: 'a', d: 'c', f: 'e' }
> math.log2(2**32)
32
> math.log10(1e9)
9
> string.big(4)
'xxxxxxxxxxxxxxxx'