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‎CHANGELOG.md‎

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<section class="release" id="unreleased">
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## Unreleased (2026-05-15)
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## Unreleased (2026-05-16)
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<section class="features">
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<details>
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- [`66ec9de`](https://github.com/stdlib-js/stdlib/commit/66ec9de8d5be3960d329762c2c132adcbd35337d) - **docs:** update namespace table of contents [(#12151)](https://github.com/stdlib-js/stdlib/pull/12151) _(by stdlib-bot)_
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- [`f0ed784`](https://github.com/stdlib-js/stdlib/commit/f0ed784caa00e817f71e1191b5db3853b57fa570) - **bench:** refactor to use string interpolation _(by Athan Reines)_
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- [`b7d612f`](https://github.com/stdlib-js/stdlib/commit/b7d612f111470f25c4798c31b3303dae56a76f53) - **test:** ensure support for dtype objects _(by Athan Reines)_
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- [`326e1cb`](https://github.com/stdlib-js/stdlib/commit/326e1cb6e7b06d68b93268376db4f76bd2aeacc4) - **test:** ensure support for dtype objects _(by Athan Reines)_

‎base/README.md‎

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- <span class="signature">[`everyBy( arrays, predicate[, thisArg] )`][@stdlib/ndarray/base/every-by]</span><span class="delimiter">: </span><span class="description">test whether all elements in an ndarray pass a test implemented by a predicate function.</span>
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- <span class="signature">[`every( arrays )`][@stdlib/ndarray/base/every]</span><span class="delimiter">: </span><span class="description">test whether every element in an ndarray is truthy.</span>
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- <span class="signature">[`expandDimensions( x, dim, writable )`][@stdlib/ndarray/base/expand-dimensions]</span><span class="delimiter">: </span><span class="description">expand the shape of an array by inserting a new dimension of size one at a specified dimension index.</span>
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- <span class="signature">[`falsesLike( x )`][@stdlib/ndarray/base/falses-like]</span><span class="delimiter">: </span><span class="description">create an ndarray filled with `false` values and having the same shape and data type as a provided ndarray.</span>
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- <span class="signature">[`falses( dtype, shape, order )`][@stdlib/ndarray/base/falses]</span><span class="delimiter">: </span><span class="description">create an ndarray filled with `false` values and having a specified shape and data type.</span>
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- <span class="signature">[`fillBy( x, fcn[, thisArg] )`][@stdlib/ndarray/base/fill-by]</span><span class="delimiter">: </span><span class="description">fill an input ndarray according to a callback function.</span>
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- <span class="signature">[`fillDiagonal( x, value, dims, k )`][@stdlib/ndarray/base/fill-diagonal]</span><span class="delimiter">: </span><span class="description">fill a specified diagonal of a matrix (or stack of matrices) with a scalar value.</span>
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- <span class="signature">[`nullaryStrided1d( fcn, arrays, dims[, options] )`][@stdlib/ndarray/base/nullary-strided1d]</span><span class="delimiter">: </span><span class="description">apply a one-dimensional strided array function to a list of specified dimensions in an ndarray.</span>
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- <span class="signature">[`nullaryBlockSize( dtypeX )`][@stdlib/ndarray/base/nullary-tiling-block-size]</span><span class="delimiter">: </span><span class="description">resolve a loop block size for multi-dimensional array tiled loops.</span>
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- <span class="signature">[`nullary( arrays, fcn )`][@stdlib/ndarray/base/nullary]</span><span class="delimiter">: </span><span class="description">apply a nullary callback and assign results to elements in an output ndarray.</span>
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- <span class="signature">[`nullsLike( x )`][@stdlib/ndarray/base/nulls-like]</span><span class="delimiter">: </span><span class="description">create a null-filled ndarray having the same shape and data type as a provided ndarray.</span>
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- <span class="signature">[`nulls( dtype, shape, order )`][@stdlib/ndarray/base/nulls]</span><span class="delimiter">: </span><span class="description">create a null-filled ndarray having a specified shape and data type.</span>
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- <span class="signature">[`numelDimension( x, dim )`][@stdlib/ndarray/base/numel-dimension]</span><span class="delimiter">: </span><span class="description">return the size (i.e., number of elements) of a specified dimension for a provided ndarray.</span>
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- <span class="signature">[`numel( shape )`][@stdlib/ndarray/base/numel]</span><span class="delimiter">: </span><span class="description">return the number of elements in an array.</span>
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- <span class="signature">[`toUnflattened( x, dim, sizes )`][@stdlib/ndarray/base/to-unflattened]</span><span class="delimiter">: </span><span class="description">return a new ndarray in which a specified dimension of an input ndarray is expanded over multiple dimensions.</span>
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- <span class="signature">[`toUniqueNormalizedIndices( indices, max )`][@stdlib/ndarray/base/to-unique-normalized-indices]</span><span class="delimiter">: </span><span class="description">return a list of unique indices after normalizing to the interval `[0,max]`.</span>
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- <span class="signature">[`transpose( x, writable )`][@stdlib/ndarray/base/transpose]</span><span class="delimiter">: </span><span class="description">transpose a matrix (or a stack of matrices).</span>
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- <span class="signature">[`truesLike( x )`][@stdlib/ndarray/base/trues-like]</span><span class="delimiter">: </span><span class="description">create an ndarray filled with `true` values and having the same shape and data type as a provided ndarray.</span>
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- <span class="signature">[`trues( dtype, shape, order )`][@stdlib/ndarray/base/trues]</span><span class="delimiter">: </span><span class="description">create an ndarray filled with `true` values and having a specified shape and data type.</span>
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- <span class="signature">[`unaryAccumulate( arrays, initial, clbk )`][@stdlib/ndarray/base/unary-accumulate]</span><span class="delimiter">: </span><span class="description">perform a reduction over elements in an input ndarray.</span>
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- <span class="signature">[`unaryAddonDispatch( addon, fallback )`][@stdlib/ndarray/base/unary-addon-dispatch]</span><span class="delimiter">: </span><span class="description">dispatch to a native add-on applying a unary function to an input ndarray.</span>
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[@stdlib/ndarray/base/expand-dimensions]: https://github.com/stdlib-js/ndarray/tree/main/base/expand-dimensions
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[@stdlib/ndarray/base/falses-like]: https://github.com/stdlib-js/ndarray/tree/main/base/falses-like
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[@stdlib/ndarray/base/falses]: https://github.com/stdlib-js/ndarray/tree/main/base/falses
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[@stdlib/ndarray/base/fill-by]: https://github.com/stdlib-js/ndarray/tree/main/base/fill-by
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[@stdlib/ndarray/base/nullary]: https://github.com/stdlib-js/ndarray/tree/main/base/nullary
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[@stdlib/ndarray/base/nulls-like]: https://github.com/stdlib-js/ndarray/tree/main/base/nulls-like
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[@stdlib/ndarray/base/nulls]: https://github.com/stdlib-js/ndarray/tree/main/base/nulls
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[@stdlib/ndarray/base/numel-dimension]: https://github.com/stdlib-js/ndarray/tree/main/base/numel-dimension
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[@stdlib/ndarray/base/transpose]: https://github.com/stdlib-js/ndarray/tree/main/base/transpose
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[@stdlib/ndarray/base/trues-like]: https://github.com/stdlib-js/ndarray/tree/main/base/trues-like
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[@stdlib/ndarray/base/trues]: https://github.com/stdlib-js/ndarray/tree/main/base/trues
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[@stdlib/ndarray/base/unary-accumulate]: https://github.com/stdlib-js/ndarray/tree/main/base/unary-accumulate

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