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Replace elements of an array with provided values according to a provided mask array.
import mskput from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-mskput@deno/mod.js';
The previous example will load the latest bundled code from the deno branch. Alternatively, you may load a specific version by loading the file from one of the tagged bundles. For example,
import mskput from 'https://cdn.jsdelivr.net/gh/stdlib-js/[email protected]/mod.js';
Replaces elements of an array with provided values according to a provided mask array.
var x = [ 1, 2, 3, 4 ];
var out = mskput( x, [ 1, 0, 1, 0 ], [ 20, 40 ] );
// returns [ 1, 20, 3, 40 ]
var bool = ( out === x );
// returns true
The function supports the following parameters:
- x: input array.
- mask: mask array.
- values: values to set.
- options: function options.
The function supports the following options:
- mode: string specifying behavior when the number of
values
does not equal the number of falsymask
values. Default:'repeat'
.
The function supports the following modes:
'strict'
: specifies that the function must raise an exception when the number ofvalues
does not exactly equal the number of falsymask
values.'non_strict'
: specifies that the function must raise an exception when the function is provided insufficientvalues
to satisfy themask
array.'strict_broadcast'
: specifies that the function must broadcast a single-elementvalues
array and otherwise raise an exception when the number ofvalues
does not exactly equal the number of falsymask
values.'broadcast'
: specifies that the function must broadcast a single-elementvalues
array and otherwise raise an exception when the function is provided insufficientvalues
to satisfy themask
array.'repeat'
: specifies that the function must reuse providedvalues
when replacing elements inx
in order to satisfy themask
array.
In broadcasting modes, the function supports broadcasting a values
array containing a single element against the number of falsy values in the mask
array.
var x = [ 1, 2, 3, 4 ];
var out = mskput( x, [ 1, 0, 1, 0 ], [ 20 ], {
'mode': 'strict_broadcast'
});
// returns [ 1, 20, 3, 20 ]
var bool = ( out === x );
// returns true
In repeat mode, the function supports recycling elements in a values
array to satisfy the number of falsy values in the mask
array.
var x = [ 1, 2, 3, 4 ];
var out = mskput( x, [ 0, 0, 1, 0 ], [ 20, 40 ], {
'mode': 'repeat'
});
// returns [ 20, 40, 3, 20 ]
var bool = ( out === x );
// returns true
- The function mutates the input array
x
. - If a
mask
array element is falsy, the corresponding element inx
is replaced; otherwise, the corresponding element inx
is "masked" and thus left unchanged. - The
values
array must have a data type which can be safely cast to the input array data type. Floating-point data types (both real and complex) are allowed to downcast to a lower precision data type of the same kind (e.g., element values from a'float64'
values array can be assigned to corresponding elements in a'float32'
input array).
import filledBy from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-base-filled-by@deno/mod.js';
import discreteUniform from 'https://cdn.jsdelivr.net/gh/stdlib-js/random-base-discrete-uniform@deno/mod.js';
import bernoulli from 'https://cdn.jsdelivr.net/gh/stdlib-js/random-base-bernoulli@deno/mod.js';
import linspace from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-base-linspace@deno/mod.js';
import mskput from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-mskput@deno/mod.js';
// Generate a linearly spaced array:
var x = linspace( 0, 100, 11 );
console.log( x );
// Generate a random mask array:
var N = discreteUniform( 5, 15 );
var mask = filledBy( N, bernoulli.factory( 0.3 ) );
console.log( mask );
// Generate an array of random values:
var values = filledBy( N, discreteUniform.factory( 1000, 2000 ) );
console.log( values );
// Update a random sample of elements in `x`:
var out = mskput( x, mask, values );
console.log( out );
This package is part of stdlib, a standard library 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.
For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.
See LICENSE.
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