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Release v0.1.1
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.github/.keepalive

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.github/workflows/test.yml

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npm install || npm install || npm install
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timeout-minutes: 15
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# Build native add-on if present:
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- name: 'Build native add-on (if present)'
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run: |
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if [ -f "binding.gyp" ]; then
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npm install node-gyp --no-save && ./node_modules/.bin/node-gyp rebuild
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fi
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# Run tests:
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- name: 'Run tests'
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id: tests

CHANGELOG.md

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> Package changelog.
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<section class="release" id="v0.1.1">
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## 0.1.1 (2026-02-08)
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No changes reported for this release.
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</section>
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<!-- /.release -->
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<section class="release" id="v0.1.0">
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## 0.1.0 (2026-01-31)

README.md

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[npm-image]: http://img.shields.io/npm/v/@stdlib/stats-base-ndarray-dnanmeanpn.svg
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[npm-url]: https://npmjs.org/package/@stdlib/stats-base-ndarray-dnanmeanpn
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[test-image]: https://github.com/stdlib-js/stats-base-ndarray-dnanmeanpn/actions/workflows/test.yml/badge.svg?branch=main
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[test-url]: https://github.com/stdlib-js/stats-base-ndarray-dnanmeanpn/actions/workflows/test.yml?query=branch:main
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[test-image]: https://github.com/stdlib-js/stats-base-ndarray-dnanmeanpn/actions/workflows/test.yml/badge.svg?branch=v0.1.1
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[test-url]: https://github.com/stdlib-js/stats-base-ndarray-dnanmeanpn/actions/workflows/test.yml?query=branch:v0.1.1
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[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/stats-base-ndarray-dnanmeanpn/main.svg
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[coverage-url]: https://codecov.io/github/stdlib-js/stats-base-ndarray-dnanmeanpn?branch=main

package.json

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{
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"name": "@stdlib/stats-base-ndarray-dnanmeanpn",
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"version": "0.1.0",
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"version": "0.1.1",
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"description": "Compute the arithmetic mean of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using a two-pass error correction algorithm.",
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"license": "Apache-2.0",
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"author": {
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"url": "https://github.com/stdlib-js/stdlib/issues"
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},
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"dependencies": {
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"@stdlib/ndarray-base-data-buffer": "^0.2.2",
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"@stdlib/ndarray-base-data-buffer": "^0.2.3",
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"@stdlib/ndarray-base-numel-dimension": "^0.3.2",
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"@stdlib/ndarray-base-offset": "^0.2.2",
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"@stdlib/ndarray-base-offset": "^0.2.3",
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"@stdlib/ndarray-base-stride": "^0.2.2",
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"@stdlib/stats-strided-dnanmeanpn": "^0.1.0",
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"@stdlib/stats-strided-dnanmeanpn": "^0.1.1",
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"@stdlib/types": "^0.4.3"
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},
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"devDependencies": {
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"@stdlib/array-filled-by": "^0.3.0",
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"@stdlib/array-float64": "^0.2.2",
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"@stdlib/math-base-assert-is-nan": "^0.2.2",
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"@stdlib/math-base-special-pow": "^0.3.0",
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"@stdlib/array-float64": "^0.2.3",
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"@stdlib/math-base-assert-is-nan": "^0.2.3",
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"@stdlib/math-base-special-pow": "^0.3.1",
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"@stdlib/ndarray-base-ctor": "^0.3.0",
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"@stdlib/ndarray-to-array": "^0.2.1",
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"@stdlib/random-base-bernoulli": "^0.2.1",
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"@stdlib/random-base-uniform": "^0.2.2",
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"tape": "git+https://github.com/kgryte/tape.git#fix/globby",
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"istanbul": "^0.4.1",
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"tap-min": "git+https://github.com/Planeshifter/tap-min.git",
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"@stdlib/bench-harness": "^0.2.2"
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"@stdlib/bench-harness": "^0.2.3"
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},
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"engines": {
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"node": ">=0.10.0",

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