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.editorconfig

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@@ -121,7 +121,7 @@ indent_style = tab
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[*.{md,md.txt}]
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indent_style = space
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indent_size = 4
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trim_trailing_whitespace = false
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trim_trailing_whitespace = true # Note: this disables using two spaces to force a hard line break, which is permitted in Markdown. As we don't typically follow that practice (TMK), we should be safe to automatically trim.
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# Set properties for `usage.txt` files:
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[usage.txt]

.github/workflows/test_install.yml

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env:
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SLACK_WEBHOOK_URL: ${{ secrets.SLACK_WEBHOOK_URL }}
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# Run workflow job if `publish` workflow run is successful or when the workflow is manually run:
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if: ${{ github.event.workflow_run.conclusion == 'success' || github.event_name == 'workflow_dispatch' }}
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# Run workflow job if `publish` workflow run is successful or when the workflow is manually triggered or on a schedule:
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if: ${{ github.event.workflow_run.conclusion == 'success' || github.event_name == 'workflow_dispatch' || github.event_name == 'schedule' }}
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# Define the sequence of job steps...
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steps:

.github/workflows/test_published_package.yml

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env:
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SLACK_WEBHOOK_URL: ${{ secrets.SLACK_WEBHOOK_URL }}
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# Run workflow job if `publish` workflow run is successful or when the workflow is manually run:
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if: ${{ github.event.workflow_run.conclusion == 'success' || github.event_name == 'workflow_dispatch' }}
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# Run workflow job if `publish` workflow run is successful or when the workflow is manually triggered or on a schedule:
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if: ${{ github.event.workflow_run.conclusion == 'success' || github.event_name == 'workflow_dispatch' || github.event_name == 'schedule' }}
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# Define the job's steps:
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steps:

CHANGELOG.md

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<section class="release" id="unreleased">
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## Unreleased (2024-12-14)
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## Unreleased (2025-01-02)
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<section class="features">
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<details>
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- [`f8777ec`](https://github.com/stdlib-js/stdlib/commit/f8777ec116247e8481a20c0798dccfa90baa6171) - **docs:** fix grammar _(by Athan Reines)_
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- [`2bde288`](https://github.com/stdlib-js/stdlib/commit/2bde288643491a4c317a02fe6b835c81e05e2235) - **docs:** fix grammar _(by Athan Reines)_
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- [`07c9202`](https://github.com/stdlib-js/stdlib/commit/07c92021666d2b439a239397d54a43e5785b3360) - **refactor:** remove unnecessary variable _(by Athan Reines)_
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- [`855b8c2`](https://github.com/stdlib-js/stdlib/commit/855b8c255abba003e9505aa3a80105a2e2b6b3a7) - **docs:** add example _(by Athan Reines)_
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- [`1cc3e09`](https://github.com/stdlib-js/stdlib/commit/1cc3e095080947f8fdd61ea2217f9b3031b9f93b) - **docs:** fix annotation _(by Athan Reines)_

CONTRIBUTORS

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#
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# Contributors listed in alphabetical order.
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Aadish Jain <jain.aadishj@gmail.com>
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Aayush Khanna <aayushiitbhu23@gmail.com>
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Abhijit Raut <abhijitmraut8010@gmail.com>
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Adarsh Palaskar <adarshpalaskar99@gmail.com>
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Aditya Sapra <adityaework@gmail.com>
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Ahmed Atwa <Ahmedatwa866@yahoo.com>
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Ahmed Kashkoush <ahmedkashkoush464@gmail.com>
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Ahmed Khaled <kahmd1444@gmail.com>
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Aleksandr <112382387+alextes90@users.noreply.github.com>
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Ali Salesi <ali_sal1381@yahoo.com>
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Aman Bhansali <bhansali.1@iitj.ac.in>
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Daniel Killenberger <daniel.killenberger@gmail.com>
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Daniel Yu <40680511+Daniel777y@users.noreply.github.com>
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Debashis Maharana <debashismaharana7854@gmail.com>
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Desh Deepak Kant <118960904+DeshDeepakKant@users.noreply.github.com>
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Divyansh Seth <59174836+sethdivyansh@users.noreply.github.com>
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Dominic Lim <46486515+domlimm@users.noreply.github.com>
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Dominik Moritz <domoritz@gmail.com>
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Dorrin Sotoudeh <dorrinsotoudeh123@gmail.com>
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Joris Labie <joris.labie1@gmail.com>
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Justin Dennison <justin1dennison@gmail.com>
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Karthik Prakash <116057817+skoriop@users.noreply.github.com>
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Khaldon <kahmd1444@gmail.com>
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Kohantika Nath <145763549+kohantikanath@users.noreply.github.com>
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Krishnendu Das <86651039+itskdhere@users.noreply.github.com>
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Kshitij-Dale <152467202+Kshitij-Dale@users.noreply.github.com>
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Lovelin <100030865+lovelindhoni@users.noreply.github.com>
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Lovelin Dhoni J B <100030865+lovelindhoni@users.noreply.github.com>
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Manik Sharma <maniksharma.rke@gmail.com>
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Manvith M <148960168+manvith2003@users.noreply.github.com>
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Marcus Fantham <mfantham@users.noreply.github.com>
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Momtchil Momtchev <momtchil@momtchev.com>
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Muhammad Haris <harriskhan047@outlook.com>
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Naresh Jagadeesan <naresh.naresh000@gmail.com>
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Naveen Kumar <stupiddint@gmail.com>
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Neeraj Pathak <neerajrpathak710@gmail.com>
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Nishant Shinde <97207366+nishant-s7@users.noreply.github.com>
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Nithin Katta <88046362+nithinkatta@users.noreply.github.com>
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Philipp Burckhardt <pburckhardt@outlook.com>
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Prajwal Kulkarni <prajwalkulkarni76@gmail.com>
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Pranav Goswami <goswami.4@iitj.ac.in>
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Praneki <97080887+PraneGIT@users.noreply.github.com>
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Pratik <97464067+Pratik772846@users.noreply.github.com>
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Pranjal Jha <97080887+PraneGIT@users.noreply.github.com>
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Prashant Kumar Yadav <144602492+0PrashantYadav0@users.noreply.github.com>
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Pratik Singh <97464067+Pratik772846@users.noreply.github.com>
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Pratyush Kumar Chouhan <pratyushkumar0308@gmail.com>
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Priyansh <88396544+itsspriyansh@users.noreply.github.com>
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Priyansh Prajapati <88396544+itsspriyansh@users.noreply.github.com>
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Priyanshu Agarwal <113460573+AgPriyanshu18@users.noreply.github.com>
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Pushpendra Chandravanshi <pushpendrachandravanshi4@gmail.com>
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Raunak Kumar Gupta <raunakmodanwal321@gmail.com>
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Saurabh Singh <saurabhsraghuvanshi@gmail.com>
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Seyyed Parsa Neshaei <spneshaei@users.noreply.github.com>
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Shashank Shekhar Singh <shashankshekharsingh1205@gmail.com>
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Shivam <11shivam00@gmail.com>
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Shivam Ahir <11shivam00@gmail.com>
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Shraddheya Shendre <shendreshraddheya@gmail.com>
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Shubh Mehta <93862397+Shubh942@users.noreply.github.com>
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Shubham Mishra <shubh622005@gmail.com>
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Xiaochuan Ye <tap91624@gmail.com>
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Yaswanth Kosuru <116426380+yaswanthkosuru@users.noreply.github.com>
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Yernar Yergaziyev <yernar.yergaziyev@erg.kz>
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naveen <stupiddint@gmail.com>
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olenkabilonizhka <62379231+olenkabilonizhka@users.noreply.github.com>
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rainn <88160429+AmCodesLame@users.noreply.github.com>
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rei2hu <reimu@reimu.ws>

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 specific manor, 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 specific manner, 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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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 specific manor, regardless of the input array's layout
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increment in a specific manner, 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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docs/types/index.d.ts

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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 specific manor, 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 specific manner, 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 specific manner, 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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