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CHANGELOG.md

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<section class="release" id="unreleased">
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## Unreleased (2025-04-28)
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## Unreleased (2025-04-29)
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<section class="features">
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<details>
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- [`6464a4b`](https://github.com/stdlib-js/stdlib/commit/6464a4ba00ba9579a2da77a0e2282a0f03bfdc01) - **docs:** update namespace table of contents [(#6828)](https://github.com/stdlib-js/stdlib/pull/6828) _(by stdlib-bot)_
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- [`25abfc6`](https://github.com/stdlib-js/stdlib/commit/25abfc67b400f646304fa1f10b239a051f6569f6) - **refactor:** support non-built-in shape and strides objects _(by Athan Reines)_
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- [`b087d7b`](https://github.com/stdlib-js/stdlib/commit/b087d7b801c7cae56cb39587b295fb7433638405) - **feat:** add support for enforcing traversal order _(by Athan Reines)_
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- [`d1bc036`](https://github.com/stdlib-js/stdlib/commit/d1bc0365ded44eefb0073b8ae9bf582041b49be5) - **feat:** add support for enforcing traversal order _(by Athan Reines)_

README.md

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- <span class="signature">[`ind2sub( shape, idx[, options] )`][@stdlib/ndarray/ind2sub]</span><span class="delimiter">: </span><span class="description">convert a linear index to an array of subscripts.</span>
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- <span class="signature">[`indexModes()`][@stdlib/ndarray/index-modes]</span><span class="delimiter">: </span><span class="description">list of ndarray index modes.</span>
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- <span class="signature">[`ndindex( x[, options] )`][@stdlib/ndarray/index]</span><span class="delimiter">: </span><span class="description">ndarray index constructor.</span>
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- <span class="signature">[`inputCastingPolicies()`][@stdlib/ndarray/input-casting-policies]</span><span class="delimiter">: </span><span class="description">list of input ndarray casting policies.</span>
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- <span class="signature">[`map( x[, options], fcn[, thisArg] )`][@stdlib/ndarray/map]</span><span class="delimiter">: </span><span class="description">apply a callback function to elements in an input ndarray and assign results to elements in a new output ndarray.</span>
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- <span class="signature">[`maybeBroadcastArray( x, shape )`][@stdlib/ndarray/maybe-broadcast-array]</span><span class="delimiter">: </span><span class="description">broadcast an ndarray to a specified shape if and only if the specified shape differs from the provided ndarray's shape.</span>
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- <span class="signature">[`maybeBroadcastArrays( arrays )`][@stdlib/ndarray/maybe-broadcast-arrays]</span><span class="delimiter">: </span><span class="description">broadcast ndarrays to a common shape.</span>
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[@stdlib/ndarray/index]: https://github.com/stdlib-js/ndarray/tree/main/index
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[@stdlib/ndarray/input-casting-policies]: https://github.com/stdlib-js/ndarray/tree/main/input-casting-policies
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[@stdlib/ndarray/map]: https://github.com/stdlib-js/ndarray/tree/main/map
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[@stdlib/ndarray/maybe-broadcast-array]: https://github.com/stdlib-js/ndarray/tree/main/maybe-broadcast-array

base/README.md

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- <span class="signature">[`transpose( x )`][@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">[`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">[`unaryBy( arrays, fcn, clbk[, thisArg] )`][@stdlib/ndarray/base/unary-by]</span><span class="delimiter">: </span><span class="description">apply a unary function to each element in an input ndarray according to a callback function and assign results to elements in an output ndarray.</span>
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- <span class="signature">[`unaryInputCastingDataType( idtype, odtype, policy )`][@stdlib/ndarray/base/unary-input-casting-dtype]</span><span class="delimiter">: </span><span class="description">resolve the input ndarray casting data type for a unary function.</span>
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- <span class="signature">[`unaryLoopOrder( shape, stridesX, stridesY )`][@stdlib/ndarray/base/unary-loop-interchange-order]</span><span class="delimiter">: </span><span class="description">reorder ndarray dimensions and associated strides for loop interchange.</span>
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- <span class="signature">[`unaryOutputDataType( dtype, policy )`][@stdlib/ndarray/base/unary-output-dtype]</span><span class="delimiter">: </span><span class="description">resolve the output ndarray data type for a unary function.</span>
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- <span class="signature">[`unaryReduceSubarray( fcn, arrays, dims[, options] )`][@stdlib/ndarray/base/unary-reduce-subarray]</span><span class="delimiter">: </span><span class="description">perform a reduction over a list of specified dimensions in an input ndarray and assign results to a provided output ndarray.</span>
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[@stdlib/ndarray/base/unary-by]: https://github.com/stdlib-js/ndarray/tree/main/base/unary-by
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[@stdlib/ndarray/base/unary-input-casting-dtype]: https://github.com/stdlib-js/ndarray/tree/main/base/unary-input-casting-dtype
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[@stdlib/ndarray/base/unary-loop-interchange-order]: https://github.com/stdlib-js/ndarray/tree/main/base/unary-loop-interchange-order
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[@stdlib/ndarray/base/unary-output-dtype]: https://github.com/stdlib-js/ndarray/tree/main/base/unary-output-dtype

base/assert/README.md

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- <span class="signature">[`isFloatingPointDataType( value )`][@stdlib/ndarray/base/assert/is-floating-point-data-type]</span><span class="delimiter">: </span><span class="description">test if an input value is a supported ndarray floating-point data type.</span>
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- <span class="signature">[`isIndexDataType( value )`][@stdlib/ndarray/base/assert/is-index-data-type]</span><span class="delimiter">: </span><span class="description">test if an input value is a supported ndarray index data type.</span>
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- <span class="signature">[`isIndexMode( value )`][@stdlib/ndarray/base/assert/is-index-mode]</span><span class="delimiter">: </span><span class="description">test if an input value is a supported ndarray index mode.</span>
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- <span class="signature">[`isInputCastingPolicy( value )`][@stdlib/ndarray/base/assert/is-input-casting-policy]</span><span class="delimiter">: </span><span class="description">test if an input value is a supported input ndarray casting policy.</span>
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- <span class="signature">[`isIntegerDataType( value )`][@stdlib/ndarray/base/assert/is-integer-data-type]</span><span class="delimiter">: </span><span class="description">test if an input value is a supported ndarray integer data type.</span>
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- <span class="signature">[`isIntegerIndexDataType( value )`][@stdlib/ndarray/base/assert/is-integer-index-data-type]</span><span class="delimiter">: </span><span class="description">test if an input value is a supported ndarray integer index data type.</span>
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- <span class="signature">[`isMaskIndexDataType( value )`][@stdlib/ndarray/base/assert/is-mask-index-data-type]</span><span class="delimiter">: </span><span class="description">test if an input value is a supported ndarray mask index data type.</span>
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[@stdlib/ndarray/base/assert/is-index-mode]: https://github.com/stdlib-js/ndarray/tree/main/base/assert/is-index-mode
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[@stdlib/ndarray/base/assert/is-input-casting-policy]: https://github.com/stdlib-js/ndarray/tree/main/base/assert/is-input-casting-policy
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[@stdlib/ndarray/base/assert/is-integer-data-type]: https://github.com/stdlib-js/ndarray/tree/main/base/assert/is-integer-data-type
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[@stdlib/ndarray/base/assert/is-integer-index-data-type]: https://github.com/stdlib-js/ndarray/tree/main/base/assert/is-integer-index-data-type

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