Test whether at least one element in an ndarray is truthy.
var any = require( '@stdlib/ndarray/base/any' );Tests whether at least one element in an ndarray is truthy.
var Float64Array = require( '@stdlib/array/float64' );
// Create a data buffer:
var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
// Define the shape of the input array:
var shape = [ 3, 1, 2 ];
// Define the array strides:
var sx = [ 4, 4, 1 ];
// Define the index offset:
var ox = 0;
// Create the input ndarray-like object:
var x = {
'dtype': 'float64',
'data': xbuf,
'shape': shape,
'strides': sx,
'offset': ox,
'order': 'row-major'
};
// Test elements:
var out = any( [ x ] );
// returns trueThe function accepts the following arguments:
- arrays: array-like object containing an input ndarray.
The provided ndarray should be an object with the following properties:
- dtype: data type.
- data: data buffer.
- shape: dimensions.
- strides: stride lengths.
- offset: index offset.
- order: specifies whether an ndarray is row-major (C-style) or column major (Fortran-style).
- For very high-dimensional ndarrays which are non-contiguous, one should consider copying the underlying data to contiguous memory before performing the operation in order to achieve better performance.
- If provided an empty ndarray, the function returns
false.
var bernoulli = require( '@stdlib/random/array/bernoulli' );
var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
var any = require( '@stdlib/ndarray/base/any' );
var x = {
'dtype': 'generic',
'data': bernoulli( 10, 0.1, {
'dtype': 'generic'
}),
'shape': [ 5, 2 ],
'strides': [ 2, 1 ],
'offset': 0,
'order': 'row-major'
};
console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
var out = any( [ x ] );
console.log( out );