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Constructor for applying a strided function to an input ndarray.
import UnaryStrided1dDispatch from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-unary-strided1d-dispatch@esm/index.mjs';Returns an interface for applying a strided function to an input ndarray.
import base from 'https://cdn.jsdelivr.net/gh/stdlib-js/stats-base-ndarray-cumax@esm/index.mjs';
var table = {
'default': base
};
var dtypes = [ 'float64', 'float32', 'generic' ];
var policies = {
'output': 'same',
'casting': 'none'
};
var unary = new UnaryStrided1dDispatch( table, [ dtypes ], dtypes, policies );The constructor has the following parameters:
-
table: strided function dispatch table. Must have the following properties:
- default: default strided function which should be invoked when provided ndarrays have data types which do not have a corresponding specialized implementation.
A dispatch table may have the following additional properties:
- types: one-dimensional list of ndarray data types describing specialized input and output ndarray argument signatures. Only the input and output ndarray argument data types should be specified. Additional ndarray argument data types should be omitted and are not considered during dispatch. The length of
typesmust equal the number of strided functions specified byfcnsmultiplied by two (i.e., for every pair of input-output ndarray data types, there must be a corresponding strided function infcns). - fcns: list of strided functions which are specific to specialized input and output ndarray argument signatures.
-
idtypes: list containing lists of supported input data types for each input ndarray argument.
-
odtypes: list of supported output data types.
-
policies: dispatch policies. Must have the following properties:
-
options: function options (optional).
The constructor supports the following options:
- strictTraversalOrder: boolean specifying whether the order of element traversal must match the memory layout order of an input ndarray. Default:
false.
Applies a strided function to a provided input ndarray.
import ndarray from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-ctor@esm/index.mjs';
import ndarray2array from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-to-array@esm/index.mjs';
import base from 'https://cdn.jsdelivr.net/gh/stdlib-js/stats-base-ndarray-cumax@esm/index.mjs';
var table = {
'default': base
};
var dtypes = [ 'float64', 'float32', 'generic' ];
var policies = {
'output': 'same',
'casting': 'none'
};
var unary = new UnaryStrided1dDispatch( table, [ dtypes ], dtypes, policies );
var xbuf = [ -1.0, 2.0, -3.0 ];
var x = new ndarray( 'generic', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
var y = unary.apply( x );
// returns <ndarray>
var arr = ndarray2array( y );
// returns [ -1.0, 2.0, 2.0 ]The method has the following parameters:
- x: input ndarray.
- ...args: additional input ndarray arguments (optional).
- options: function options (optional).
The method accepts the following options:
- dims: list of dimensions over which to perform an operation.
- dtype: output ndarray data type. Setting this option overrides the output data type policy.
By default, the method returns an ndarray having a data type determined by the output data type policy. To override the default behavior, set the dtype option.
import ndarray from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-ctor@esm/index.mjs';
import ndarray2array from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-to-array@esm/index.mjs';
import base from 'https://cdn.jsdelivr.net/gh/stdlib-js/stats-base-ndarray-cumax@esm/index.mjs';
import getDType from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-dtype@esm/index.mjs';
var table = {
'default': base
};
var dtypes = [ 'float64', 'float32', 'generic' ];
var policies = {
'output': 'same',
'casting': 'none'
};
var unary = new UnaryStrided1dDispatch( table, [ dtypes ], dtypes, policies );
var xbuf = [ -1.0, 2.0, -3.0 ];
var x = new ndarray( 'generic', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
var y = unary.apply( x, {
'dtype': 'float64'
});
// returns <ndarray>
var dt = getDType( y );
// returns 'float64'Applies a strided function a provided input ndarray and assigns results to a provided output ndarray.
import base from 'https://cdn.jsdelivr.net/gh/stdlib-js/stats-base-ndarray-cumax@esm/index.mjs';
import ndarray2array from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-to-array@esm/index.mjs';
import dtypes from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-dtypes@esm/index.mjs';
import ndarray from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-ctor@esm/index.mjs';
var idt = dtypes( 'real_and_generic' );
var odt = idt;
var policies = {
'output': 'same',
'casting': 'none'
};
var table = {
'default': base
};
var unary = new UnaryStrided1dDispatch( table, [ idt ], odt, policies );
var xbuf = [ -1.0, 2.0, -3.0 ];
var x = new ndarray( 'generic', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
var ybuf = [ 0.0, 0.0, 0.0 ];
var y = new ndarray( 'generic', ybuf, [ ybuf.length ], [ 1 ], 0, 'row-major' );
var out = unary.assign( x, y );
// returns <ndarray>
var arr = ndarray2array( y );
// returns [ -1.0, 2.0, 2.0 ]
var bool = ( out === y );
// returns trueThe method has the following parameters:
- x: input ndarray.
- args: additional input ndarray arguments (optional).
- out: output ndarray.
- options: function options (optional).
The method accepts the following options:
- dims: list of dimensions over which to perform an operation.
-
A strided function should have the following signature:
f( arrays )where
- arrays: array containing an input and an output ndarray, followed by any additional ndarray arguments.
-
The output data type policy only applies to the
applymethod. For theassignmethod, the output ndarray is allowed to have any supported output data type.
<!DOCTYPE html>
<html lang="en">
<body>
<script type="module">
import dcumax from 'https://cdn.jsdelivr.net/gh/stdlib-js/stats-base-ndarray-dcumax@esm/index.mjs';
import scumax from 'https://cdn.jsdelivr.net/gh/stdlib-js/stats-base-ndarray-scumax@esm/index.mjs';
import base from 'https://cdn.jsdelivr.net/gh/stdlib-js/stats-base-ndarray-cumax@esm/index.mjs';
import discreteUniform from 'https://cdn.jsdelivr.net/gh/stdlib-js/random-array-discrete-uniform@esm/index.mjs';
import dtypes from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-dtypes@esm/index.mjs';
import dtype from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-dtype@esm/index.mjs';
import ndarray2array from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-to-array@esm/index.mjs';
import ndarray from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-ctor@esm/index.mjs';
import UnaryStrided1dDispatch from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-unary-strided1d-dispatch@esm/index.mjs';
// Define the supported input and output data types:
var idt = dtypes( 'real_and_generic' );
var odt = dtypes( 'real_and_generic' );
// Define dispatch policies:
var policies = {
'output': 'same',
'casting': 'none'
};
// Define a dispatch table:
var table = {
'types': [
'float64', 'float64', // input, output
'float32', 'float32' // input, output
],
'fcns': [
dcumax,
scumax
],
'default': base
};
// Create an interface for performing a reduction:
var cumax = new UnaryStrided1dDispatch( table, [ idt ], odt, policies );
// Generate an array of random numbers:
var xbuf = discreteUniform( 25, -10, 10, {
'dtype': 'generic'
});
// Wrap in an ndarray:
var x = new ndarray( 'generic', xbuf, [ 5, 5 ], [ 5, 1 ], 0, 'row-major' );
console.log( ndarray2array( x ) );
// Perform operation:
var y = cumax.apply( x, {
'dims': [ 0 ]
});
// Resolve the output array data type:
var dt = dtype( y );
console.log( dt );
// Print the results:
console.log( ndarray2array( y ) );
</script>
</body>
</html>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.
Copyright © 2016-2025. The Stdlib Authors.
