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README.md

every

Test whether every element along one or more ndarray dimensions is truthy.

Usage

var every = require( '@stdlib/ndarray/every' );

every( x[, options] )

Tests whether every element along one or more ndarray dimensions is truthy.

var Float64Array = require( '@stdlib/array/float64' );
var ndarray = require( '@stdlib/ndarray/ctor' );

// 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 sh = [ 3, 1, 2 ];

// Define the array strides:
var sx = [ 4, 4, 1 ];

// Define the index offset:
var ox = 1;

// Create an input ndarray:
var x = new ndarray( 'float64', xbuf, sh, sx, ox, 'row-major' );

// Test elements:
var out = every( x );
// returns <ndarray>

var v = out.get();
// returns true

The function accepts the following arguments:

  • x: input ndarray.
  • options: function options (optional).

The function accepts the following options:

  • dims: list of dimensions over which to perform a reduction.
  • keepdims: boolean indicating whether the reduced dimensions should be included in the returned ndarray as singleton dimensions. Default: false.

By default, the function performs a reduction over all elements in a provided ndarray. To reduce specific dimensions, set the dims option.

var Float64Array = require( '@stdlib/array/float64' );
var ndarray = require( '@stdlib/ndarray/ctor' );
var ndarray2array = require( '@stdlib/ndarray/to-array' );

// 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 sh = [ 3, 1, 2 ];

// Define the array strides:
var sx = [ 4, 4, 1 ];

// Define the index offset:
var ox = 1;

// Create an input ndarray:
var x = new ndarray( 'float64', xbuf, sh, sx, ox, 'row-major' );

// Test elements:
var out = every( x, {
    'dims': [ 1, 2 ]
});
// returns <ndarray>

var v = ndarray2array( out );
// returns [ true, true, true ]

By default, the function returns an ndarray having a shape matching only the non-reduced dimensions of the input ndarray (i.e., the reduced dimensions are dropped). To include the reduced dimensions as singleton dimensions in the output ndarray, set the keepdims option to true.

var Float64Array = require( '@stdlib/array/float64' );
var ndarray = require( '@stdlib/ndarray/ctor' );
var ndarray2array = require( '@stdlib/ndarray/to-array' );

// 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 sh = [ 3, 1, 2 ];

// Define the array strides:
var sx = [ 4, 4, 1 ];

// Define the index offset:
var ox = 1;

// Create an input ndarray:
var x = new ndarray( 'float64', xbuf, sh, sx, ox, 'row-major' );

// Test elements:
var out = every( x, {
    'dims': [ 1, 2 ],
    'keepdims': true
});
// returns <ndarray>

var v = ndarray2array( out );
// returns [ [ [ true ] ], [ [ true ] ], [ [ true ] ] ]

every.assign( x, out[, options] )

Tests whether every element along one or more ndarray dimensions is truthy and assigns results to a provided output ndarray.

var Float64Array = require( '@stdlib/array/float64' );
var ndarray = require( '@stdlib/ndarray/ctor' );
var empty = require( '@stdlib/ndarray/empty' );

// 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 sh = [ 3, 1, 2 ];

// Define the array strides:
var sx = [ 4, 4, 1 ];

// Define the index offset:
var ox = 1;

// Create an input ndarray:
var x = new ndarray( 'float64', xbuf, sh, sx, ox, 'row-major' );

// Create an output ndarray:
var y = empty( [], {
    'dtype': 'bool'
});

// Test elements:
var out = every.assign( x, y );
// returns <ndarray>

var bool = ( out === y );
// returns true

var v = y.get();
// returns true

The function accepts the following arguments:

  • x: input ndarray.
  • out: output ndarray. The output ndarray must have a shape matching the non-reduced dimensions of the input ndarray.
  • options: function options (optional).

The function accepts the following options:

  • dims: list of dimensions over which to perform a reduction.

By default, the function performs a reduction over all elements in a provided ndarray. To reduce specific dimensions, set the dims option.

var Float64Array = require( '@stdlib/array/float64' );
var ndarray = require( '@stdlib/ndarray/ctor' );
var empty = require( '@stdlib/ndarray/empty' );
var ndarray2array = require( '@stdlib/ndarray/to-array' );

// 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 sh = [ 3, 1, 2 ];

// Define the array strides:
var sx = [ 4, 4, 1 ];

// Define the index offset:
var ox = 1;

// Create an input ndarray:
var x = new ndarray( 'float64', xbuf, sh, sx, ox, 'row-major' );

// Create an output ndarray:
var y = empty( [ 3 ], {
    'dtype': 'bool'
});

// Test elements:
var out = every.assign( x, y, {
    'dims': [ 1, 2 ]
});

var bool = ( out === y );
// returns true

var v = ndarray2array( y );
// returns [ true, true, true ]

Examples

var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
var ndarray2array = require( '@stdlib/ndarray/to-array' );
var fillBy = require( '@stdlib/ndarray/fill-by' );
var zeros = require( '@stdlib/ndarray/zeros' );
var every = require( '@stdlib/ndarray/every' );

var x = zeros( [ 2, 4, 5 ], {
    'dtype': 'float64'
});
x = fillBy( x, bernoulli( 0.90 ) );
console.log( ndarray2array( x ) );

var y = every( x );
console.log( 'every(x[:,:,:]) =' );
console.log( y.get() );

y = every( x, {
    'dims': [ 0 ],
    'keepdims': true
});
console.log( 'every(x[:,j,k]) =' );
console.log( ndarray2array( y ) );

y = every( x, {
    'dims': [ 1 ],
    'keepdims': true
});
console.log( 'every(x[i,:,k]) =' );
console.log( ndarray2array( y ) );

y = every( x, {
    'dims': [ 2 ],
    'keepdims': true
});
console.log( 'every(x[i,j,:]) =' );
console.log( ndarray2array( y ) );

y = every( x, {
    'dims': [ 0, 1 ],
    'keepdims': true
});
console.log( 'every(x[:,:,k]) =' );
console.log( ndarray2array( y ) );

y = every( x, {
    'dims': [ 0, 2 ],
    'keepdims': true
});
console.log( 'every(x[:,j,:]) =' );
console.log( ndarray2array( y ) );

y = every( x, {
    'dims': [ 1, 2 ],
    'keepdims': true
});
console.log( 'every(x[i,:,:]) =' );
console.log( ndarray2array( y ) );

y = every( x, {
    'dims': [ 0, 1, 2 ],
    'keepdims': true
});
console.log( 'every(x[:,:,:]) =' );
console.log( ndarray2array( y ) );