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CHANGELOG.md

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<section class="release" id="unreleased">
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## Unreleased (2026-04-13)
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## Unreleased (2026-04-14)
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<section class="features">
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@@ -842,6 +842,7 @@ A total of 49 issues were closed in this release:
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<details>
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- [`36e8e4b`](https://github.com/stdlib-js/stdlib/commit/36e8e4be9c05de181d5e69f7a0f4b689d27c3f35) - **docs:** update namespace table of contents [(#11448)](https://github.com/stdlib-js/stdlib/pull/11448) _(by stdlib-bot)_
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- [`4f9ef0a`](https://github.com/stdlib-js/stdlib/commit/4f9ef0a54ec0f9e065ea8ab3b514128d3c3adef1) - **bench:** refactor to use string interpolation in `@stdlib/ndarray/base` [(#11429)](https://github.com/stdlib-js/stdlib/pull/11429) _(by Karan Anand)_
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- [`886ad4c`](https://github.com/stdlib-js/stdlib/commit/886ad4c592bb63614a1aedc2f6db0895eb737a01) - **feat:** add `fullBy` to namespace _(by Athan Reines)_
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- [`7353aa8`](https://github.com/stdlib-js/stdlib/commit/7353aa8cd76a9e27f13092e40a556c49b0df231e) - **feat:** add `ndarray/base/full-by` [(#11310)](https://github.com/stdlib-js/stdlib/pull/11310) _(by Muhammad Haris, Athan Reines)_

README.md

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- <span class="signature">[`promotionRules( [dtype1, dtype2] )`][@stdlib/ndarray/promotion-rules]</span><span class="delimiter">: </span><span class="description">return the ndarray data type with the smallest size and closest "kind" to which ndarray data types can be **safely** cast.</span>
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- <span class="signature">[`push( x, ...values )`][@stdlib/ndarray/push]</span><span class="delimiter">: </span><span class="description">return a one-dimensional ndarray formed by appending provided scalar values to a one-dimensional input ndarray.</span>
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- <span class="signature">[`reject( x[, options], predicate[, thisArg] )`][@stdlib/ndarray/reject]</span><span class="delimiter">: </span><span class="description">return a shallow copy of an ndarray containing only those elements which fail a test implemented by a predicate function.</span>
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- <span class="signature">[`removeSingletonDimensions( x )`][@stdlib/ndarray/remove-singleton-dimensions]</span><span class="delimiter">: </span><span class="description">return a read-only view of an input ndarray with singleton dimensions removed.</span>
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- <span class="signature">[`reverseDimension( x, dim )`][@stdlib/ndarray/reverse-dimension]</span><span class="delimiter">: </span><span class="description">return a **read-only** view of an input `ndarray` in which the order of elements along a specified dimension is reversed.</span>
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- <span class="signature">[`reverse( x )`][@stdlib/ndarray/reverse]</span><span class="delimiter">: </span><span class="description">return a **read-only** view of an input `ndarray` in which the order of elements along each dimension is reversed.</span>
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- <span class="signature">[`safeCasts( [dtype] )`][@stdlib/ndarray/safe-casts]</span><span class="delimiter">: </span><span class="description">return a list of ndarray data types to which a provided ndarray data type can be safely cast.</span>
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[@stdlib/ndarray/reject]: https://github.com/stdlib-js/ndarray/tree/main/reject
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[@stdlib/ndarray/remove-singleton-dimensions]: https://github.com/stdlib-js/ndarray/tree/main/remove-singleton-dimensions
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[@stdlib/ndarray/reverse-dimension]: https://github.com/stdlib-js/ndarray/tree/main/reverse-dimension
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[@stdlib/ndarray/reverse]: https://github.com/stdlib-js/ndarray/tree/main/reverse

base/README.md

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- <span class="signature">[`array2ndarray( buf, order )`][@stdlib/ndarray/base/from-array]</span><span class="delimiter">: </span><span class="description">convert an array to a one-dimensional ndarray.</span>
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- <span class="signature">[`scalar2ndarrayLike( x, value )`][@stdlib/ndarray/base/from-scalar-like]</span><span class="delimiter">: </span><span class="description">convert a scalar value to a zero-dimensional ndarray having the same data type as a provided ndarray.</span>
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- <span class="signature">[`scalar2ndarray( value, dtype, order )`][@stdlib/ndarray/base/from-scalar]</span><span class="delimiter">: </span><span class="description">convert a scalar value to a zero-dimensional ndarray.</span>
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- <span class="signature">[`fullBy( dtype, shape, order, clbk[, thisArg] )`][@stdlib/ndarray/base/full-by]</span><span class="delimiter">: </span><span class="description">create an ndarray filled according to a callback function and having a specified shape and data type.</span>
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- <span class="signature">[`full( value, dtype, shape, order )`][@stdlib/ndarray/base/full]</span><span class="delimiter">: </span><span class="description">create an ndarray filled with a specified value and having a specified shape and data type.</span>
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- <span class="signature">[`includes( arrays )`][@stdlib/ndarray/base/includes]</span><span class="delimiter">: </span><span class="description">test whether an ndarray contains a specified value.</span>
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- <span class="signature">[`ind( idx, max, mode )`][@stdlib/ndarray/base/ind]</span><span class="delimiter">: </span><span class="description">return an index given an index mode.</span>
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- <span class="signature">[`unaryBlockSize( dtypeX, dtypeY )`][@stdlib/ndarray/base/unary-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">[`unary( arrays, fcn )`][@stdlib/ndarray/base/unary]</span><span class="delimiter">: </span><span class="description">apply a unary callback to elements in an input ndarray and assign results to elements in an output ndarray.</span>
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- <span class="signature">[`unflattenShape( shape, dim, sizes )`][@stdlib/ndarray/base/unflatten-shape]</span><span class="delimiter">: </span><span class="description">expand a dimension over multiple dimensions.</span>
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- <span class="signature">[`unflatten( x, dim, sizes, writable )`][@stdlib/ndarray/base/unflatten]</span><span class="delimiter">: </span><span class="description">return a view of an input ndarray in which a specified dimension is expanded over multiple dimensions.</span>
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- <span class="signature">[`vind2bind( shape, strides, offset, order, idx, mode )`][@stdlib/ndarray/base/vind2bind]</span><span class="delimiter">: </span><span class="description">convert a linear index in an array view to a linear index in an underlying data buffer.</span>
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- <span class="signature">[`wrapIndex( idx, max )`][@stdlib/ndarray/base/wrap-index]</span><span class="delimiter">: </span><span class="description">wrap an index on the interval `[0,max]`.</span>
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- <span class="signature">[`zerosLike( x )`][@stdlib/ndarray/base/zeros-like]</span><span class="delimiter">: </span><span class="description">create a zero-filled ndarray having the same shape and data type as a provided ndarray.</span>
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[@stdlib/ndarray/base/from-scalar]: https://github.com/stdlib-js/ndarray/tree/main/base/from-scalar
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[@stdlib/ndarray/base/full-by]: https://github.com/stdlib-js/ndarray/tree/main/base/full-by
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[@stdlib/ndarray/base/full]: https://github.com/stdlib-js/ndarray/tree/main/base/full
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[@stdlib/ndarray/base/includes]: https://github.com/stdlib-js/ndarray/tree/main/base/includes
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[@stdlib/ndarray/base/unflatten-shape]: https://github.com/stdlib-js/ndarray/tree/main/base/unflatten-shape
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[@stdlib/ndarray/base/unflatten]: https://github.com/stdlib-js/ndarray/tree/main/base/unflatten
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[@stdlib/ndarray/base/vind2bind]: https://github.com/stdlib-js/ndarray/tree/main/base/vind2bind
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[@stdlib/ndarray/base/wrap-index]: https://github.com/stdlib-js/ndarray/tree/main/base/wrap-index

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