time-to-botec

Benchmark sampling in different programming languages
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      1 <!--
      2 
      3 @license Apache-2.0
      4 
      5 Copyright (c) 2018 The Stdlib Authors.
      6 
      7 Licensed under the Apache License, Version 2.0 (the "License");
      8 you may not use this file except in compliance with the License.
      9 You may obtain a copy of the License at
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     11    http://www.apache.org/licenses/LICENSE-2.0
     12 
     13 Unless required by applicable law or agreed to in writing, software
     14 distributed under the License is distributed on an "AS IS" BASIS,
     15 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     16 See the License for the specific language governing permissions and
     17 limitations under the License.
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     19 -->
     20 
     21 # ndarray
     22 
     23 [![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url] [![dependencies][dependencies-image]][dependencies-url]
     24 
     25 > Multidimensional arrays.
     26 
     27 <section class="installation">
     28 
     29 ## Installation
     30 
     31 ```bash
     32 npm install @stdlib/ndarray
     33 ```
     34 
     35 </section>
     36 
     37 <section class="usage">
     38 
     39 ## Usage
     40 
     41 ```javascript
     42 var ns = require( '@stdlib/ndarray' );
     43 ```
     44 
     45 #### ns
     46 
     47 ndarray namespace.
     48 
     49 ```javascript
     50 var o = ns;
     51 // returns {...}
     52 ```
     53 
     54 The namespace exports the following functions to create multidimensional arrays:
     55 
     56 <!-- <toc pattern="+(array|ctor)"> -->
     57 
     58 <div class="namespace-toc">
     59 
     60 -   <span class="signature">[`array( [buffer,] [options] )`][@stdlib/ndarray/array]</span><span class="delimiter">: </span><span class="description">create a multidimensional array.</span>
     61 -   <span class="signature">[`ndarray( dtype, buffer, shape, strides, offset, order[, options] )`][@stdlib/ndarray/ctor]</span><span class="delimiter">: </span><span class="description">multidimensional array constructor.</span>
     62 
     63 </div>
     64 
     65 <!-- </toc> -->
     66 
     67 The namespace contains the following sub-namespaces:
     68 
     69 <!-- <toc pattern="base"> -->
     70 
     71 <div class="namespace-toc">
     72 
     73 -   <span class="signature">[`base`][@stdlib/ndarray/base]</span><span class="delimiter">: </span><span class="description">base ndarray.</span>
     74 
     75 </div>
     76 
     77 <!-- </toc> -->
     78 
     79 In addition, the namespace contaians the following multidimensional array utility functions:
     80 
     81 <!-- <toc pattern="*" > -->
     82 
     83 <div class="namespace-toc">
     84 
     85 -   <span class="signature">[`ndarrayCastingModes()`][@stdlib/ndarray/casting-modes]</span><span class="delimiter">: </span><span class="description">list of ndarray casting modes.</span>
     86 -   <span class="signature">[`ndarrayDataTypes()`][@stdlib/ndarray/dtypes]</span><span class="delimiter">: </span><span class="description">list of ndarray data types.</span>
     87 -   <span class="signature">[`ind2sub( shape, idx[, options] )`][@stdlib/ndarray/ind2sub]</span><span class="delimiter">: </span><span class="description">convert a linear index to an array of subscripts.</span>
     88 -   <span class="signature">[`ndarrayIndexModes()`][@stdlib/ndarray/index-modes]</span><span class="delimiter">: </span><span class="description">list of ndarray index modes.</span>
     89 -   <span class="signature">[`ndarrayMinDataType( value )`][@stdlib/ndarray/min-dtype]</span><span class="delimiter">: </span><span class="description">determine the minimum ndarray data type of the closest "kind" necessary for storing a provided scalar value.</span>
     90 -   <span class="signature">[`ndarrayNextDataType( [dtype] )`][@stdlib/ndarray/next-dtype]</span><span class="delimiter">: </span><span class="description">return the next larger ndarray data type of the same kind.</span>
     91 -   <span class="signature">[`ndarrayOrders()`][@stdlib/ndarray/orders]</span><span class="delimiter">: </span><span class="description">list of ndarray orders.</span>
     92 -   <span class="signature">[`ndarrayPromotionRules( [dtype1, dtype2] )`][@stdlib/ndarray/promotion-rules]</span><span class="delimiter">: </span><span class="description">return the ndarray data type with the smallest size and closest "kind" to which ndarray data types can be **safely** cast.</span>
     93 -   <span class="signature">[`ndarraySafeCasts( [dtype] )`][@stdlib/ndarray/safe-casts]</span><span class="delimiter">: </span><span class="description">return a list of ndarray data types to which a provided ndarray data type can be safely cast.</span>
     94 -   <span class="signature">[`ndarraySameKindCasts( [dtype] )`][@stdlib/ndarray/same-kind-casts]</span><span class="delimiter">: </span><span class="description">return a list of ndarray data types to which a provided ndarray data type can be safely cast or cast within the same "kind".</span>
     95 -   <span class="signature">[`sub2ind( shape, ...subscripts[, options] )`][@stdlib/ndarray/sub2ind]</span><span class="delimiter">: </span><span class="description">convert subscripts to a linear index.</span>
     96 
     97 </div>
     98 
     99 <!-- </toc> -->
    100 
    101 </section>
    102 
    103 <!-- /.usage -->
    104 
    105 <section class="examples">
    106 
    107 ## Examples
    108 
    109 <!-- TODO: better examples -->
    110 
    111 <!-- eslint no-undef: "error" -->
    112 
    113 ```javascript
    114 var objectKeys = require( '@stdlib/utils/keys' );
    115 var ns = require( '@stdlib/ndarray' );
    116 
    117 console.log( objectKeys( ns ) );
    118 ```
    119 
    120 </section>
    121 
    122 <!-- /.examples -->
    123 
    124 
    125 <section class="main-repo" >
    126 
    127 * * *
    128 
    129 ## Notice
    130 
    131 This package is part of [stdlib][stdlib], a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.
    132 
    133 For more information on the project, filing bug reports and feature requests, and guidance on how to develop [stdlib][stdlib], see the main project [repository][stdlib].
    134 
    135 #### Community
    136 
    137 [![Chat][chat-image]][chat-url]
    138 
    139 ---
    140 
    141 ## License
    142 
    143 See [LICENSE][stdlib-license].
    144 
    145 
    146 ## Copyright
    147 
    148 Copyright &copy; 2016-2021. The Stdlib [Authors][stdlib-authors].
    149 
    150 </section>
    151 
    152 <!-- /.stdlib -->
    153 
    154 <!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
    155 
    156 <section class="links">
    157 
    158 [npm-image]: http://img.shields.io/npm/v/@stdlib/ndarray.svg
    159 [npm-url]: https://npmjs.org/package/@stdlib/ndarray
    160 
    161 [test-image]: https://github.com/stdlib-js/ndarray/actions/workflows/test.yml/badge.svg
    162 [test-url]: https://github.com/stdlib-js/ndarray/actions/workflows/test.yml
    163 
    164 [coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/ndarray/main.svg
    165 [coverage-url]: https://codecov.io/github/stdlib-js/ndarray?branch=main
    166 
    167 [dependencies-image]: https://img.shields.io/david/stdlib-js/ndarray.svg
    168 [dependencies-url]: https://david-dm.org/stdlib-js/ndarray/main
    169 
    170 [chat-image]: https://img.shields.io/gitter/room/stdlib-js/stdlib.svg
    171 [chat-url]: https://gitter.im/stdlib-js/stdlib/
    172 
    173 [stdlib]: https://github.com/stdlib-js/stdlib
    174 
    175 [stdlib-authors]: https://github.com/stdlib-js/stdlib/graphs/contributors
    176 
    177 [stdlib-license]: https://raw.githubusercontent.com/stdlib-js/ndarray/main/LICENSE
    178 
    179 <!-- <toc-links> -->
    180 
    181 [@stdlib/ndarray/casting-modes]: https://www.npmjs.com/package/@stdlib/ndarray/tree/main/casting-modes
    182 
    183 [@stdlib/ndarray/dtypes]: https://www.npmjs.com/package/@stdlib/ndarray/tree/main/dtypes
    184 
    185 [@stdlib/ndarray/ind2sub]: https://www.npmjs.com/package/@stdlib/ndarray/tree/main/ind2sub
    186 
    187 [@stdlib/ndarray/index-modes]: https://www.npmjs.com/package/@stdlib/ndarray/tree/main/index-modes
    188 
    189 [@stdlib/ndarray/min-dtype]: https://www.npmjs.com/package/@stdlib/ndarray/tree/main/min-dtype
    190 
    191 [@stdlib/ndarray/next-dtype]: https://www.npmjs.com/package/@stdlib/ndarray/tree/main/next-dtype
    192 
    193 [@stdlib/ndarray/orders]: https://www.npmjs.com/package/@stdlib/ndarray/tree/main/orders
    194 
    195 [@stdlib/ndarray/promotion-rules]: https://www.npmjs.com/package/@stdlib/ndarray/tree/main/promotion-rules
    196 
    197 [@stdlib/ndarray/safe-casts]: https://www.npmjs.com/package/@stdlib/ndarray/tree/main/safe-casts
    198 
    199 [@stdlib/ndarray/same-kind-casts]: https://www.npmjs.com/package/@stdlib/ndarray/tree/main/same-kind-casts
    200 
    201 [@stdlib/ndarray/sub2ind]: https://www.npmjs.com/package/@stdlib/ndarray/tree/main/sub2ind
    202 
    203 [@stdlib/ndarray/base]: https://www.npmjs.com/package/@stdlib/ndarray/tree/main/base
    204 
    205 [@stdlib/ndarray/array]: https://www.npmjs.com/package/@stdlib/ndarray/tree/main/array
    206 
    207 [@stdlib/ndarray/ctor]: https://www.npmjs.com/package/@stdlib/ndarray/tree/main/ctor
    208 
    209 <!-- </toc-links> -->
    210 
    211 </section>
    212 
    213 <!-- /.links -->