Press n or j to go to the next uncovered block, b, p or k for the previous block.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 | 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 6x 12x 12x 6x 6x 6x 6x 6x 6x 1x 1x 1x 1x 1x | /** * @license Apache-2.0 * * Copyright (c) 2025 The Stdlib Authors. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ 'use strict'; // MODULES // var ndims = require( '@stdlib/ndarray/base/ndims' ); var normalizeIndex = require( '@stdlib/ndarray/base/normalize-index' ); var getShape = require( '@stdlib/ndarray/base/shape' ); var sliceFrom = require( '@stdlib/ndarray/base/slice-from' ); var sliceTo = require( '@stdlib/ndarray/base/slice-to' ); // MAIN // /** * Returns an array containing a truncated view of an input ndarray and a complementary view of the last element(s) along a specified dimension. * * @param {ndarray} x - input array * @param {integer} dim - dimension along which to perform the operation * @param {boolean} strict - boolean indicating whether to enforce strict bounds checking * @param {boolean} writable - boolean indicating whether returned arrays should be writable * @returns {Array} a list of ndarrays * * @example * var ndarray = require( '@stdlib/ndarray/ctor' ); * var ndarray2array = require( '@stdlib/ndarray/to-array' ); * * var buffer = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ]; * var shape = [ 3, 2 ]; * var strides = [ 2, 1 ]; * var offset = 0; * * var x = ndarray( 'generic', buffer, shape, strides, offset, 'row-major' ); * // returns <ndarray> * * var arr = ndarray2array( x ); * // returns [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ] * * var y = pop( x, 0, false, false ); * // returns [ <ndarray>, <ndarray> ] * * arr = ndarray2array( y[ 0 ] ); * // returns [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] * * arr = ndarray2array( y[ 1 ] ); * // returns [ [ 5.0, 6.0 ] ] */ function pop( x, dim, strict, writable ) { var v0; var v1; var sh; var N; var s; var i; // Retrieve array meta data: sh = getShape( x ); N = ndims( x ); // Resolve view slice: s = []; for ( i = 0; i < N; i++ ) { s[ i ] = null; } dim = normalizeIndex( dim, N -1 ); s[ dim ] = sh[ dim ] - 1; v1 = sliceFrom( x, s, strict, writable ); v0 = sliceTo( x, s, strict, writable ); return [ v0, v1 ]; } // EXPORTS // module.exports = pop; |