Press n or j to go to the next uncovered block, b, p or k for the previous block.
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 | 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x | /**
* @license Apache-2.0
*
* Copyright (c) 2025 The Stdlib Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
'use strict';
// MODULES //
var isFunction = require( '@stdlib/assert/is-function' );
var isInteger = require( '@stdlib/assert/is-integer' ).isPrimitive;
var isIntegerDataType = require( '@stdlib/ndarray/base/assert/is-integer-data-type' );
var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
var unaryReduceSubarrayBy = require( '@stdlib/ndarray/base/unary-reduce-subarray-by' );
var ndims = require( '@stdlib/ndarray/ndims' );
var base = require( '@stdlib/ndarray/base/some-by' );
var getDtype = require( '@stdlib/ndarray/dtype' );
var getShape = require( '@stdlib/ndarray/shape' ); // note: non-base accessor is intentional due to the input arrays originating in userland
var getOrder = require( '@stdlib/ndarray/base/order' );
var defaults = require( '@stdlib/ndarray/defaults' );
var maybeBroadcastArray = require( '@stdlib/ndarray/base/maybe-broadcast-array' );
var broadcastScalar = require( '@stdlib/ndarray/base/broadcast-scalar' );
var objectAssign = require( '@stdlib/object/assign' );
var zeroTo = require( '@stdlib/array/base/zero-to' );
var format = require( '@stdlib/string/format' );
var DEFAULTS = require( './defaults.json' );
var validate = require( './validate.js' );
// VARIABLES //
var DEFAULT_DTYPE = defaults.get( 'dtypes.integer_index' );
// MAIN //
/**
* Tests whether at least `n` elements along one or more ndarray dimensions pass a test implemented by a predicate function.
*
* @param {ndarray} x - input ndarray
* @param {(ndarray|integer)} n - number of elements which must pass the test
* @param {ndarray} y - output ndarray
* @param {Options} [options] - function options
* @param {IntegerArray} [options.dims] - list of dimensions over which to perform a reduction
* @param {Function} predicate - predicate function
* @param {*} [thisArg] - predicate execution context
* @throws {TypeError} first argument must be an ndarray-like object
* @throws {Error} second argument must be broadcast-compatible with the non-reduced dimensions of the input ndarray
* @throws {TypeError} third argument must be an ndarray-like object
* @throws {TypeError} options argument must be an object
* @throws {TypeError} callback argument must be a function
* @throws {Error} must provide valid options
* @returns {ndarray} output ndarray
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var ndarray = require( '@stdlib/ndarray/ctor' );
* var isEven = require( '@stdlib/assert/is-even' ).isPrimitive;
* 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 shape = [ 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, shape, sx, ox, 'row-major' );
*
* // Create an output ndarray:
* var y = empty( [], {
* 'dtype': 'bool'
* });
*
* // Perform reduction:
* var out = assign( x, 3, y, isEven );
* // returns <ndarray>[ true ]
*/
function assign( x, n, y, options, predicate, thisArg ) {
var nargs;
var opts;
var err;
var ord;
var flg;
var ctx;
var cb;
var N;
var v;
var o;
nargs = arguments.length;
if ( !isndarrayLike( x ) ) {
throw new TypeError( format( 'invalid argument. First argument must be an ndarray-like object. Value: `%s`.', x ) );
}
if ( !isndarrayLike( y ) ) {
throw new TypeError( format( 'invalid argument. Third argument must be an ndarray-like object. Value: `%s`.', y ) );
}
// Case: assign( x, n, y, predicate )
if ( nargs < 5 ) {
cb = options;
if ( !isFunction( cb ) ) {
throw new TypeError( format( 'invalid argument. Fourth argument must be a function. Value: `%s`.', cb ) );
}
}
// Case: assign( x, n, y, options, predicate, thisArg )
else if ( nargs > 5 ) {
flg = true;
o = options;
cb = predicate;
if ( !isFunction( cb ) ) {
throw new TypeError( format( 'invalid argument. Fifth argument must be a function. Value: `%s`.', cb ) );
}
ctx = thisArg;
}
// Case: assign( x, n, y, predicate, thisArg )
else if ( isFunction( options ) ) {
cb = options;
ctx = predicate;
}
// Case: assign( x, n, y, options, predicate )
else if ( isFunction( predicate ) ) {
flg = true;
o = options;
cb = predicate;
}
// Case: assign( x, n, y, ???, ??? )
else {
throw new TypeError( format( 'invalid argument. Fifth argument must be a function. Value: `%s`.', predicate ) );
}
N = ndims( x );
opts = objectAssign( {}, DEFAULTS );
if ( flg ) {
err = validate( opts, N, o );
if ( err ) {
throw err;
}
}
// When a list of dimensions is not provided, reduce the entire input array across all dimensions...
if ( opts.dims === null ) {
opts.dims = zeroTo( N );
}
// Resolve input array meta data:
ord = getOrder( x );
if ( isndarrayLike( n ) ) {
if ( !isIntegerDataType( getDtype( n ) ) ) {
throw new TypeError( format( 'invalid argument. Second argument must have an integer data type. Value: `%s`.', n ) );
}
try {
v = maybeBroadcastArray( n, getShape( y ) );
} catch ( err ) { // eslint-disable-line no-unused-vars
throw new Error( 'invalid argument. Second argument must be broadcast-compatible with the non-reduced dimensions of the input array.' );
}
} else {
if ( !isInteger( n ) ) {
throw new TypeError( format( 'invalid argument. Second argument must be an integer or an ndarray-like object. Value: `%s`.', n ) );
}
v = broadcastScalar( n, DEFAULT_DTYPE, getShape( y ), ord );
}
// Perform the reduction:
unaryReduceSubarrayBy( base, [ x, y, v ], opts.dims, cb, ctx ); // note: we assume that this lower-level function handles further validation of the output ndarray (e.g., expected shape, etc)
return y;
}
// EXPORTS //
module.exports = assign;
|