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Copy file name to clipboardExpand all lines: CHANGELOG.md
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<sectionclass="release"id="unreleased">
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## Unreleased (2025-04-28)
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## Unreleased (2025-04-29)
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<sectionclass="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)_
Copy file name to clipboardExpand all lines: README.md
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- <spanclass="signature">[`ind2sub( shape, idx[, options] )`][@stdlib/ndarray/ind2sub]</span><spanclass="delimiter">: </span><spanclass="description">convert a linear index to an array of subscripts.</span>
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- <spanclass="signature">[`indexModes()`][@stdlib/ndarray/index-modes]</span><spanclass="delimiter">: </span><spanclass="description">list of ndarray index modes.</span>
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- <spanclass="signature">[`ndindex( x[, options] )`][@stdlib/ndarray/index]</span><spanclass="delimiter">: </span><spanclass="description">ndarray index constructor.</span>
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- <spanclass="signature">[`inputCastingPolicies()`][@stdlib/ndarray/input-casting-policies]</span><spanclass="delimiter">: </span><spanclass="description">list of input ndarray casting policies.</span>
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- <spanclass="signature">[`map( x[, options], fcn[, thisArg] )`][@stdlib/ndarray/map]</span><spanclass="delimiter">: </span><spanclass="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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- <spanclass="signature">[`maybeBroadcastArray( x, shape )`][@stdlib/ndarray/maybe-broadcast-array]</span><spanclass="delimiter">: </span><spanclass="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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- <spanclass="signature">[`maybeBroadcastArrays( arrays )`][@stdlib/ndarray/maybe-broadcast-arrays]</span><spanclass="delimiter">: </span><spanclass="description">broadcast ndarrays to a common shape.</span>
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- <spanclass="signature">[`transpose( x )`][@stdlib/ndarray/base/transpose]</span><spanclass="delimiter">: </span><spanclass="description">transpose a matrix (or a stack of matrices).</span>
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- <spanclass="signature">[`unaryAccumulate( arrays, initial, clbk )`][@stdlib/ndarray/base/unary-accumulate]</span><spanclass="delimiter">: </span><spanclass="description">perform a reduction over elements in an input ndarray.</span>
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- <spanclass="signature">[`unaryBy( arrays, fcn, clbk[, thisArg] )`][@stdlib/ndarray/base/unary-by]</span><spanclass="delimiter">: </span><spanclass="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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- <spanclass="signature">[`unaryInputCastingDataType( idtype, odtype, policy )`][@stdlib/ndarray/base/unary-input-casting-dtype]</span><spanclass="delimiter">: </span><spanclass="description">resolve the input ndarray casting data type for a unary function.</span>
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- <spanclass="signature">[`unaryLoopOrder( shape, stridesX, stridesY )`][@stdlib/ndarray/base/unary-loop-interchange-order]</span><spanclass="delimiter">: </span><spanclass="description">reorder ndarray dimensions and associated strides for loop interchange.</span>
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- <spanclass="signature">[`unaryOutputDataType( dtype, policy )`][@stdlib/ndarray/base/unary-output-dtype]</span><spanclass="delimiter">: </span><spanclass="description">resolve the output ndarray data type for a unary function.</span>
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- <spanclass="signature">[`unaryReduceSubarray( fcn, arrays, dims[, options] )`][@stdlib/ndarray/base/unary-reduce-subarray]</span><spanclass="delimiter">: </span><spanclass="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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- <spanclass="signature">[`isFloatingPointDataType( value )`][@stdlib/ndarray/base/assert/is-floating-point-data-type]</span><spanclass="delimiter">: </span><spanclass="description">test if an input value is a supported ndarray floating-point data type.</span>
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- <spanclass="signature">[`isIndexDataType( value )`][@stdlib/ndarray/base/assert/is-index-data-type]</span><spanclass="delimiter">: </span><spanclass="description">test if an input value is a supported ndarray index data type.</span>
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- <spanclass="signature">[`isIndexMode( value )`][@stdlib/ndarray/base/assert/is-index-mode]</span><spanclass="delimiter">: </span><spanclass="description">test if an input value is a supported ndarray index mode.</span>
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- <spanclass="signature">[`isInputCastingPolicy( value )`][@stdlib/ndarray/base/assert/is-input-casting-policy]</span><spanclass="delimiter">: </span><spanclass="description">test if an input value is a supported input ndarray casting policy.</span>
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- <spanclass="signature">[`isIntegerDataType( value )`][@stdlib/ndarray/base/assert/is-integer-data-type]</span><spanclass="delimiter">: </span><spanclass="description">test if an input value is a supported ndarray integer data type.</span>
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- <spanclass="signature">[`isIntegerIndexDataType( value )`][@stdlib/ndarray/base/assert/is-integer-index-data-type]</span><spanclass="delimiter">: </span><spanclass="description">test if an input value is a supported ndarray integer index data type.</span>
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- <spanclass="signature">[`isMaskIndexDataType( value )`][@stdlib/ndarray/base/assert/is-mask-index-data-type]</span><spanclass="delimiter">: </span><spanclass="description">test if an input value is a supported ndarray mask index data type.</span>
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