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orb-array exposes concise APIs to manipulate arrays.
Browser Installation. The module is exported as orbarr global variable.
<script src="https://cdn.jsdelivr.net/npm/orb-array@1.0.0/dist/index.js"></script>
Node Installation
npm install orb-array
It splits an array into the specified number of pieces. When the number of pieces is larger than the input size, it creates empty pieces. It always returns the specified number of pieces. Some examples:
// Midway split is the default behavior.
const items = [1, 2, 3, 4, 5]
const pieces = split(items)
// Output: [[1, 2, 3], [4, 5]]
const items = [1, 2, 3, 4, 5]
const pieces = split(items, 10)
// Output: [[1], [2], [3], [4], [5], [], [], [], [], []]
It generates numbers in a given range, starting with 0.
const items = range(5)
// Output: [0, 1, 2, 3, 4]
It generates a range of values using a function.
const items = fill(5, v => v*2) // v is an item index
// Output: [0, 2, 4, 6, 8]
It zips arrays together. When the array sizes vary, the output size is equal to the shortest array.
const items = range(5)
const values = range(10)
const zipped = zip(items, values)
// Output: [[0, 0], [1, 1], [2, 2], [3, 3], [4, 4]]
reduce support several operations.
reduce.o reduces an array to an object. It supports customizations using the key and the value functions. Without customizations, key and value are the input array items.
const items = range(5)
const o = reduce.o(items)
// Output: {0:0, 1:1, 2:2, 3:3, 4:4}
const items = range(5)
const o = reduce.o(items, {value: v => v + 2})
// Output: {0:2, 1:3, 2:4, 3:5, 4:6}
reduce.a transforms an array. A value function is applied to the original values. A custom container can be used to store the results. Some examples:
// Simple Example
const items = range(5)
const o = reduce.a(items)
// Output: [0, 1, 2, 3, 4]
// Using value function and a container
const items = [1, 2, 5, 6]
const vfn = v => 2*v
const container = [20]
const o = reduce.a(items, {value: vfn, container})
// Output: [20, 2, 4, 10, 60]
reduce.mul multiplies together all the elements of an array. When the input contains a non-numerical value, the output is NaN. The boolean values are converted to their numerical form (0 or 1).
const items = [1, 2, 5, 6]
const result = reduce.mul(items)
// Output: 60
// It returns 1 for an empty input.
const result = reduce.mul([])
// Output: 1
reduce.rollingmul performs cumulative multiplication. Follow the following examples:
// Rolling Multiplication
const items = [1, 2, 5, 6]
const o = reduce.rollingmul(items)
// Output: [1, 2, 10, 60]
reduce.sum adds the elements together.
// Addition
const items = [1, 2, 3, 4, 6]
const o = reduce.sum(items)
// Output: 16
map supports several operations.
map.scale uses the input factor to scale elements.
const items = range(5)
const scaled = map.scale(items, 2)
// Output: [0, 2, 4, 6, 8]
last gets the last element from an array without modification.
// Action
const items = ['last-input']
const o = last(items)
// Output: 'last-input'
ranges simplifies nested iterations over the deep arrays. It creates a list of addresses for individual elements. resolveAddress API resolves them. Follow the following examples:
// Ranges Demonstration
const o = ranges(2, 3)
// Output: [[0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2]]
// Access Elements
const deepfruits = [['mango'], ['apple']]
const o = ranges(2, 2)
const fruits = o.map((address) => resolveAddress(deepfruits, address)
// Output: ['mango', 'apple']
resolveAddress resolves the ordered indices in a nested array or the ordered keys in a nested object. The order must follow the parent-child relationship.
// Array Example
const deepfruits = [['mango'], ['apple']]
const o = resolveAddress(deepfruits, [1, 0])
// Output: 'apple'
// Object Example
const fruits = {
tropical: {
summer: ['mango', 'orange']
},
wild: {
names: ['berries']
}
}
const o = resolveAddress(fruits, ['wild', 'names'])
// Output: ['berries]
repeat repeats an object. The repeat count is configurable.
// Basic Example
const input = {tree: 'tonmayi'}
const o = repeat(input, 2)
// Output: [{tree: 'tonmayi'}, {tree: 'tonmayi'}, {tree: 'tonmayi'}]
FAQs
Concise Array Programming
We found that orb-array demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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