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Commitb05adaf

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‎.github/.keepalive‎

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‎CHANGELOG.md‎

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<sectionclass="release"id="unreleased">
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##Unreleased (2024-12-23)
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##Unreleased (2025-01-02)
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<sectionclass="features">
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<details>
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-[`5e977ba`](https://github.com/stdlib-js/stdlib/commit/5e977ba129f9aa3e1d88ccba7db34a38f355f113) -**docs:** fix grammar and type annotation_(by Athan Reines)_
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-[`5b71452`](https://github.com/stdlib-js/stdlib/commit/5b71452bd40811341a2e4eaab018c3cc17c5feac) -**docs:** update related packages sections[(#4135)](https://github.com/stdlib-js/stdlib/pull/4135)_(by stdlib-bot, Athan Reines)_
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-[`6ff153f`](https://github.com/stdlib-js/stdlib/commit/6ff153f9023cffac527b3243489e6413e989e940) -**feat:** add`ndarray/filter-map`_(by Athan Reines)_
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‎README.md‎

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The function accepts the following options:
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-**dtype**: output ndarray[data type][@stdlib/ndarray/dtypes]. If not specified, the output ndarray[data type][@stdlib/ndarray/dtypes] is inferred from the input[ndarray][@stdlib/ndarray/ctor].
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-**order**: index iteration order. By default, the function iterates over elements according to the[layout order][@stdlib/ndarray/orders] of the provided[ndarray][@stdlib/ndarray/ctor]. Accordingly, for row-major input[ndarrays][@stdlib/ndarray/ctor], the last dimension indices increment fastest. For column-major input[ndarrays][@stdlib/ndarray/ctor], the first dimension indices increment fastest. To override the inferred order and ensure that indices increment in a specificmanor, regardless of the input[ndarray][@stdlib/ndarray/ctor]'s layout order, explicitly set the iteration order. Note, however, that iterating according to an order which does not match that of the input[ndarray][@stdlib/ndarray/ctor] may, in some circumstances, result in performance degradation due to cache misses. Must be either`'row-major'` or`'column-major'`.
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-**order**: index iteration order. By default, the function iterates over elements according to the[layout order][@stdlib/ndarray/orders] of the provided[ndarray][@stdlib/ndarray/ctor]. Accordingly, for row-major input[ndarrays][@stdlib/ndarray/ctor], the last dimension indices increment fastest. For column-major input[ndarrays][@stdlib/ndarray/ctor], the first dimension indices increment fastest. To override the inferred order and ensure that indices increment in a specificmanner, regardless of the input[ndarray][@stdlib/ndarray/ctor]'s layout order, explicitly set the iteration order. Note, however, that iterating according to an order which does not match that of the input[ndarray][@stdlib/ndarray/ctor] may, in some circumstances, result in performance degradation due to cache misses. Must be either`'row-major'` or`'column-major'`.
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By default, the output ndarray[data type][@stdlib/ndarray/dtypes] is inferred from the input[ndarray][@stdlib/ndarray/ctor]. To return an ndarray with a different[data type][@stdlib/ndarray/dtypes], specify the`dtype` option.
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##Copyright
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Copyright&copy; 2016-2024. The Stdlib[Authors][stdlib-authors].
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Copyright&copy; 2016-2025. The Stdlib[Authors][stdlib-authors].
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</section>
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‎dist/index.js.map‎

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‎docs/repl.txt‎

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row-major input arrays, the last dimension indices increment fastest.
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For column-major input arrays, the first dimension indices increment
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fastest. To override the inferred order and ensure that indices
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increment in a specificmanor, regardless of the input array's layout
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increment in a specificmanner, regardless of the input array's layout
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order, explicitly set the iteration order. Note, however, that iterating
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according to an order which does not match that of the input array may,
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in some circumstances, result in performance degradation due to cache

‎docs/types/index.d.ts‎

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*
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* ## Notes
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*
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* - By default, the function iterates over elements according to the layout order of the provided ndarray. Accordingly, for row-major input ndarrays, the last dimension indices increment fastest. For column-major input ndarrays, the first dimension indices increment fastest. To override the inferred order and ensure that indices increment in a specificmanor, regardless of the input ndarray's layout order, explicitly set the iteration order. Note, however, that iterating according to an order which does not match that of the input ndarray may, in some circumstances, result in performance degradation due to cache misses.
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* - By default, the function iterates over elements according to the layout order of the provided ndarray. Accordingly, for row-major input ndarrays, the last dimension indices increment fastest. For column-major input ndarrays, the first dimension indices increment fastest. To override the inferred order and ensure that indices increment in a specificmanner, regardless of the input ndarray's layout order, explicitly set the iteration order. Note, however, that iterating according to an order which does not match that of the input ndarray may, in some circumstances, result in performance degradation due to cache misses.
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order?:Order;
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}
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*
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* ## Notes
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* - By default, the function iterates over elements according to the layout order of the provided ndarray. Accordingly, for row-major input ndarrays, the last dimension indices increment fastest. For column-major input ndarrays, the first dimension indices increment fastest. To override the inferred order and ensure that indices increment in a specificmanor, regardless of the input ndarray's layout order, explicitly set the iteration order. Note, however, that iterating according to an order which does not match that of the input ndarray may, in some circumstances, result in performance degradation due to cache misses.
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* - By default, the function iterates over elements according to the layout order of the provided ndarray. Accordingly, for row-major input ndarrays, the last dimension indices increment fastest. For column-major input ndarrays, the first dimension indices increment fastest. To override the inferred order and ensure that indices increment in a specificmanner, regardless of the input ndarray's layout order, explicitly set the iteration order. Note, however, that iterating according to an order which does not match that of the input ndarray may, in some circumstances, result in performance degradation due to cache misses.
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‎lib/main.js‎

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*@param {ndarray} x - input ndarray
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*@param {Options} [options] - function options
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*@param {string} [options.dtype] - output array data type
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*@param {boolean} [options.order] - index iteration order
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*@param {string} [options.order] - index iteration order
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*@param {Callback} fcn - callback function
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*@param {*} [thisArg] - callback execution context
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*@throws {TypeError} first argument must be an ndarray-like object

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