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‎ndarray/base/tile/coverage.ndjson‎

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[190,190,100,21,21,100,1,1,100,190,190,100,"86e54db86ad4924bd5374019d0589dfce1d861c9","2026-04-17 08:09:40"]
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[190,190,100,22,22,100,1,1,100,190,190,100,"3aa1209c814e028641d4737eca7898630b89da2c","2026-04-17 12:10:17"]

‎ndarray/base/tile/index.html‎

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<div class='footer quiet pad2 space-top1 center small'>
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Code coverage generated by
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<a href="https://istanbul.js.org/" target="_blank" rel="noopener noreferrer">istanbul</a>
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at 2026-04-17T08:08:49.434Z
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‎ndarray/base/tile/index.js.html‎

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<div class='footer quiet pad2 space-top1 center small'>
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‎ndarray/base/tile/main.js.html‎

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@@ -389,6 +389,7 @@ <h1><a href="index.html">All files</a> main.js</h1>
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var getOrder = require( '@stdlib/ndarray/base/order' );
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var getDType = require( '@stdlib/ndarray/base/dtype' );
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var getData = require( '@stdlib/ndarray/base/data-buffer' );
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var format = require( '@stdlib/string/format' );
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var zeros = require( '@stdlib/array/base/zeros' );
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&nbsp;
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&nbsp;
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*
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* ## Notes
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*
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* - When the number of repetitions is less than the number of input dimensions, the number of repetitions is left-padded with ones until the number of repetitions matches the number of input dimensions. When the number of repetitions exceeds the number of input dimensions, the input array is treated as if singleton dimensions were prepended.
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* - The output array has rank equal to the greater of the input array rank and the number of repetitions.
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* - The function always returns a new ndarray having a newly allocated data buffer.
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* - The number of repetitions must have at least as many elements as the number of input dimensions. When the number of repetitions exceeds the number of input dimensions, the input array is treated as if singleton dimensions were prepended.
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* - The function always copies data to a new ndarray.
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*
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* @param {ndarray} x - input array
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* @param {NonNegativeIntegerArray} reps - number of repetitions along each dimension
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* @throws {RangeError} second argument must have at least as many elements as the number of input dimensions
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* @returns {ndarray} output array
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*
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* @example
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var sho;
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var shi;
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var sto;
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var ord;
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var buf;
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var out;
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var Dr;
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var Ds;
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var si;
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var sx;
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var v1;
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var v2;
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var K;
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var L;
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var M;
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var N;
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var r;
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var o;
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var s;
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var t;
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var i;
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var j;
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shx = getShape( x, false );
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sx = getStrides( x, false );
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dtype = getDType( x );
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N = reps.length;
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M = shx.length;
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// Determine the output rank, which is the greater of the number of input dimensions and the number of repetitions. Compute the implicit left-padding amounts for the repetitions and input shape, respectively...
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K = ( N &gt; M ) ? N : M;
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Dr = K - N;
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Ds = K - M;
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if ( N &lt; M ) {
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throw new RangeError( format( 'invalid argument. Second argument must have at least as many elements as the number of dimensions of the first argument. Number of input dimensions: `%u`. Number of repetitions: `%u`.', M, N ) );
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}
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// Compute the implicit left-padding amount for the input shape:
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Ds = N - M;
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// Infer the storage order from the input strides, falling back to the stated order when the input is non-contiguous...
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ord = strides2order( sx );
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if ( ord === 2 ) {
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order = 'column-major';
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} else if ( ord === 1 || ord === 3 ) {
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o = strides2order( sx );
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if ( o === 0 || o === 3 ) {
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// Fallback to stated layout when unable to infer the underlying physical layout:
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order = getOrder( x );
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} else if ( o === 1 ) {
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order = 'row-major';
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} else {
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order = getOrder( x );
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order = 'column-major';
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}
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// Compute an interleaved 2K-D shape and strides for broadcasting the input, along with the final K-D output shape. By inserting a repetition axis next to each original axis, a contiguous 2K-D buffer can be reinterpreted as the K-D tiled output without an additional copy...
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shi = zeros( 2*K );
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si = zeros( 2*K );
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sho = zeros( K );
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for ( i = 0; i &lt; K; i++ ) {
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r = ( i &lt; Dr ) ? 1 : reps[ i - Dr ];
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s = ( i &lt; Ds ) ? 1 : shx[ i - Ds ];
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t = ( i &lt; Ds ) ? 0 : sx[ i - Ds ];
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sho[ i ] = r * s;
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// Compute an interleaved 2N-D shape and strides for broadcasting the input, along with the final N-D output shape. By inserting a repetition axis next to each original axis, a contiguous 2N-D buffer can be reinterpreted as the N-D tiled output without an additional copy...
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shi = zeros( 2*N );
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si = zeros( 2*N );
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sho = zeros( N );
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for ( i = 0; i &lt; N; i++ ) {
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j = i - Ds;
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s = ( j &lt; 0 ) ? 1 : shx[ j ];
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t = ( j &lt; 0 ) ? 0 : sx[ j ];
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sho[ i ] = reps[ i ] * s;
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if ( order === 'row-major' ) {
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shi[ 2*i ] = r;
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shi[ 2*i ] = reps[ i ];
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shi[ (2*i)+1 ] = s;
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si[ (2*i)+1 ] = t;
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} else {
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shi[ 2*i ] = s;
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shi[ (2*i)+1 ] = r;
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shi[ (2*i)+1 ] = reps[ i ];
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si[ 2*i ] = t;
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}
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}
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if ( K &gt; 0 ) {
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if ( N &gt; 0 ) {
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L = numel( sho );
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sto = shape2strides( sho, order );
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} else {
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buf = buffer( dtype, L );
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out = new x.constructor( dtype, buf, sho, sto, 0, order );
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// Assign the broadcasted input to a 2K-D view over the output data buffer...
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// Assign the broadcasted input to a 2N-D view over the output data buffer...
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v1 = ndarray( dtype, getData( x ), shi, si, getOffset( x ), order );
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v2 = ndarray( dtype, buf, shi, shape2strides( shi, order ), 0, order );
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assign( [ v1, v2 ] );
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<div class='footer quiet pad2 space-top1 center small'>
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Code coverage generated by
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<a href="https://istanbul.js.org/" target="_blank" rel="noopener noreferrer">istanbul</a>
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at 2026-04-17T08:08:49.434Z
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at 2026-04-17T12:08:53.002Z
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</div>
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<script src="prettify.js"></script>
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<script>

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