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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,6 +1,7 @@ | ||
| /* find the dimension of the array */ | ||
| module.exports = function findDim(array) { | ||
| module.exports = function findDim(array, flag = 'array') { | ||
| const calcShape = require('./calcShape'); | ||
| const shape = calcShape(array); | ||
| let shape = array; | ||
| if (flag === 'array') shape = calcShape(array); | ||
| return shape.length; | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,84 +1,96 @@ | ||
| "use strict"; | ||
|
|
||
| /* A JS library for dealing with n-dimensional arrays. | ||
| * Referenced from numpy. | ||
| * Author : Anubhav Tiwari <atworkstudios@gmail.com> | ||
| */ | ||
|
|
||
|
|
||
| /* Make the Ndarray interface and make vecto faster ************ | ||
| * _______ _____ _____ _____ ************ | ||
| **** |#######| /#####\ |####\ /#####\ ************ | ||
| **** |#| |#| |#| _____ |#| |#| |#| |#| ************ | ||
| **** |#| |#| |#| |_____| |#|_|#| |#| |#| ************ | ||
| **** |#| \#####/ |####/ \#####/ ************ | ||
| ***************************************************************/ | ||
|
|
||
| const core = require('./core'), | ||
| math = require('../util/math'); | ||
|
|
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| class Ndarray { | ||
| constructor({ shape = [], dtype = 'float32', initializer = 'zeros', arr = [] } = {}, ...args) { | ||
| this.array = arr.length === 0 ? core.fill(shape, dtype, initializer, ...args) : arr; | ||
| this.shape = ((shape.length) > 0) ? shape : (core.calcShape(this.array)); | ||
| this.size = core.calcSize(this.array); | ||
| this.dim = core.findDim(this.array); | ||
| constructor({ shape = [], dtype = 'float32', initializer = 'zeros', data = [] } = {}, ...args) { | ||
| this.shape = shape; | ||
| this.dtype = dtype; | ||
| this.flat = core.formArr(core.flatten(this.array), this.dtype); | ||
| this.size = core.calcSize(this.shape, 'shape'); | ||
| this.dim = core.findDim(this.shape, 'shape'); | ||
| this.data = data.length > 0 ? core.formArr(core.flatten(data), this.dtype) : | ||
| core.formArr(core.fill([this.size], initializer, ...args), this.dtype); | ||
| } | ||
|
|
||
| /* form a new Ndarray for the given array */ | ||
| static array(arr, dtype = 'float32') { | ||
| return new Ndarray({ dtype: dtype, arr: arr }); | ||
| return new Ndarray({ dtype: dtype, data: arr }); | ||
| } | ||
|
|
||
| /* make a new zero Ndarray */ | ||
| static zeroes(shape) { | ||
| return new Ndarray({ shape, dtype: 'float32', initializer: 'zeros' }); | ||
| } | ||
|
|
||
| /* ---------------------------------------------------------------- */ | ||
|
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||
|
|
||
| /* sum of 2 Ndarrays */ | ||
| add(v2) { | ||
| return math.sum(this.array, v2.array); | ||
| return math.sum(this.data, v2.array); | ||
| } | ||
|
|
||
| /* get the shaped data out as ndarray */ | ||
| val() { | ||
| return core.arrange(this.shape, core.formArr(this.data)); | ||
| } | ||
|
|
||
| /* reshapes the Ndarray only if for the new shape the number of elements remain same */ | ||
| reshape(newShape) { | ||
| if (core.calcSize(newShape, 'shape') === this.size) { | ||
| const tempArr = this.flat; | ||
| this.shape = newShape; | ||
| this.arrange(tempArr); | ||
| } else { | ||
| return new Error(`Resizing error : can't change the shape from ${this.shape} to ${newShape}`); | ||
| throw new Error( | ||
| `Resizing error : can't change the shape from ${this.shape} to ${newShape}` | ||
| ); | ||
| } | ||
| } | ||
|
|
||
| /* changes the shape and size of the Ndarray in place */ | ||
| resize(newShape) { | ||
| const tempArr = this.flat; | ||
| this.shape = newShape; | ||
| this.size = core.calcSize(newShape); | ||
| this.arrange(tempArr); | ||
| this.size = core.calcSize(newShape, 'shape'); | ||
| this.dim = core.findDim(this.shape, 'shape'); | ||
| this.arrange(this.val()); | ||
| } | ||
|
|
||
| arrange(elemsArr) { | ||
| this.array = core.arrange(this.shape, elemsArr); | ||
| this.flatten(); | ||
| this.size = core.calcSize(this.array); | ||
| this.shape = core.calcShape(this.array); | ||
| this.dim = core.findDim(this.array); | ||
| this.data = core.formArr(core.flatten(core.arrange(this.shape, elemsArr)), this.dtype); | ||
| } | ||
|
|
||
| fill(initializer, ...args) { | ||
| this.array = core.fill(this.shape, this.dtype, initializer, ...args); | ||
| this.flatten(); | ||
| this.data = core.formArr(core.fill([this.size], initializer, ...args), this.dtype); | ||
| } | ||
|
|
||
| clip(minVal, maxVal) { | ||
| this.arrange(core.clip(this.array, minVal, maxVal)); | ||
| this.arrange(core.clip(this.val(), minVal, maxVal)); | ||
| } | ||
|
|
||
| flatten() { | ||
| this.flat = core.formArr(core.flatten(this.array), this.dtype); | ||
| return this.flat; | ||
| return this.data; | ||
| } | ||
|
|
||
| transpose() { | ||
| return core.transpose(this.array, this.dtype); | ||
| return core.transpose(this.val(), this.dtype); | ||
| } | ||
|
|
||
| pad(padding) { | ||
| return math.pad(this.val(), padding); | ||
| } | ||
| } | ||
|
|
||
|
|
||
| module.exports = Ndarray; |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,84 @@ | ||
| 'use strict'; | ||
|
|
||
| /** | ||
| * A JS library for dealing with n-dimensional arrays. | ||
| * Referenced from numpy. | ||
| * Author : Anubhav Tiwari <atworkstudios@gmail.com> | ||
| * | ||
| */ | ||
|
|
||
| /* Make the Ndarray interface and make vecto faster ************ | ||
| * _______ _____ _____ _____ ************ | ||
| **** |#######| /#####\ |####\ /#####\ ************ | ||
| **** |#| |#| |#| _____ |#| |#| |#| |#| ************ | ||
| **** |#| |#| |#| |_____| |#|_|#| |#| |#| ************ | ||
| **** |#| \#####/ |####/ \#####/ ************ | ||
| ***************************************************************/ | ||
|
|
||
| const core = require('./core'), | ||
| math = require('../util/math'); | ||
|
|
||
| class Ndarray { | ||
| constructor({ shape = [], dtype = 'float32', initializer = 'zeros', data = [] } = {}, ...args) { | ||
| this.shape = shape; | ||
| this.size = core.calcSize(this.shape, 'shape'); | ||
| this.dim = core.findDim(this.shape, 'shape'); | ||
| this.dtype = dtype; | ||
| this.flat = []; | ||
| data.length > 0 ? this.flatten(data) : | ||
| this.flatten(core.fill(this.shape, initializer, ...args)); | ||
| } | ||
|
|
||
| /* form a new Ndarray for the given array */ | ||
| static array(arr, dtype = 'float32') { | ||
| return new Ndarray({ dtype: dtype, data: arr }); | ||
| } | ||
|
|
||
| /* sum of 2 Ndarrays */ | ||
| add(v2) { | ||
| return math.sum(this.array, v2.array); | ||
| } | ||
|
|
||
| /* reshapes the Ndarray only if for the new shape the number of elements remain same */ | ||
| reshape(newShape) { | ||
| if (core.calcSize(newShape, 'shape') === this.size) { | ||
| const tempArr = core.formArr(this.flat); | ||
| this.shape = newShape; | ||
| this.flatten(tempArr); | ||
| } else { | ||
| return new Error(`Resizing error : can't change the shape from ${this.shape} to ${newShape}`); | ||
| } | ||
| } | ||
|
|
||
| /* changes the shape and size of the Ndarray in place */ | ||
| resize(newShape) { | ||
| const tempArr = core.formArr(this.flat); | ||
| this.shape = newShape; | ||
| this.size = core.calcSize(newShape); | ||
| this.flatten(tempArr); | ||
| } | ||
|
|
||
| arrange(elemsArr) { | ||
| this.flatten(elemsArr); | ||
| } | ||
|
|
||
| fill(initializer, ...args) { | ||
| let array = core.fill(this.shape, this.dtype, initializer, ...args); | ||
| this.flatten(array); | ||
| } | ||
|
|
||
| clip(minVal, maxVal) { | ||
| this.arrange(core.clip(this.array, minVal, maxVal)); | ||
| } | ||
|
|
||
| flatten(data) { | ||
| this.flat = core.formArr(core.flatten(data), this.dtype); | ||
| } | ||
|
|
||
| transpose() { | ||
| return core.transpose(this.array, this.dtype); | ||
| } | ||
|
|
||
| } | ||
|
|
||
| module.exports = Ndarray; |
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