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 | 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) 2026 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 ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
var getShape = require( '@stdlib/ndarray/base/shape' );
var getStrides = require( '@stdlib/ndarray/base/strides' );
var getOffset = require( '@stdlib/ndarray/base/offset' );
var getData = require( '@stdlib/ndarray/base/data-buffer' );
var strided = require( '@stdlib/blas/ext/base/dtriu' ).ndarray;
// MAIN //
/**
* Copies the upper triangular part of a double-precision floating-point matrix `A` to another matrix `B`.
*
* ## Notes
*
* - The function expects the following ndarrays:
*
* - a two-dimensional input ndarray corresponding to `A`.
* - a two-dimensional output ndarray corresponding to `B`.
* - a zero-dimensional ndarray specifying the diagonal below which to ignore.
*
* @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
* @returns {Object} output ndarray
*
* @example
* var Float64Matrix = require( '@stdlib/ndarray/matrix/float64' );
* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
*
* var A = new Float64Matrix( [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] );
* var B = new Float64Matrix( [ [ 0.0, 0.0 ], [ 0.0, 0.0 ] ] );
*
* var k = scalar2ndarray( 0, {
* 'dtype': 'generic'
* });
*
* var out = dtriu( [ A, B, k ] );
* // returns <ndarray>[ [ 1.0, 2.0 ], [ 0.0, 4.0 ] ]
*
* var bool = ( out === B );
* // returns true
*/
function dtriu( arrays ) {
var sh;
var sa;
var sb;
var A;
var B;
var k;
A = arrays[ 0 ];
B = arrays[ 1 ];
k = ndarraylike2scalar( arrays[ 2 ] );
sh = getShape( A, false );
sa = getStrides( A, false );
sb = getStrides( B, false );
strided( sh[ 0 ], sh[ 1 ], k, getData( A ), sa[ 0 ], sa[ 1 ], getOffset( A ), getData( B ), sb[ 0 ], sb[ 1 ], getOffset( B ) ); // eslint-disable-line max-len
return B;
}
// EXPORTS //
module.exports = dtriu;
|