feat: add stats/base/ndarray/sstdev
#9341
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The above coverage report was generated for the changes in this PR. |
kgryte
reviewed
Dec 24, 2025
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| var bench = require( '@stdlib/bench' ); | ||
| var uniform = require( '@stdlib/random/array/uniform' ); | ||
| var isnan = require( '@stdlib/math/base/assert/is-nan' ); |
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| var isnan = require( '@stdlib/math/base/assert/is-nan' ); | |
| var isnanf = require( '@stdlib/math/base/assert/is-nanf' ); |
Single-precision.
kgryte
reviewed
Dec 24, 2025
Comment on lines
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| > var xbuf = [ 1.0, -2.0, 2.0 ]; | ||
| > var dt = 'generic'; |
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| > var xbuf = [ 1.0, -2.0, 2.0 ]; | |
| > var dt = 'generic'; | |
| > var xbuf = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 2.0 ] ); | |
| > var dt = 'float32'; |
Single-precision must be provided to single-precision.
kgryte
reviewed
Dec 24, 2025
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| /// <reference types="@stdlib/types"/> | ||
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| import { typedndarray } from '@stdlib/types/ndarray'; |
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| import { typedndarray } from '@stdlib/types/ndarray'; | |
| import { float32ndarray, typedndarray } from '@stdlib/types/ndarray'; |
kgryte
reviewed
Dec 24, 2025
| * var v = sstdev( [ x, correction ] ); | ||
| * // returns ~2.0817 | ||
| */ | ||
| declare function sstdev<T extends typedndarray = typedndarray>( arrays: [ T, T ] ): number; |
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| declare function sstdev<T extends typedndarray = typedndarray>( arrays: [ T, T ] ): number; | |
| declare function sstdev<T extends typedndarray<number> = typedndarray<number>>( arrays: [ float32ndarray, T ] ): number; |
kgryte
reviewed
Dec 24, 2025
| const x = zeros( [ 10 ], { | ||
| 'dtype': 'float32' | ||
| }); | ||
| const correction = scalar2ndarray( 1.0, { 'dtype': 'float32' } ); |
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| const correction = scalar2ndarray( 1.0, { 'dtype': 'float32' } ); | |
| const correction = scalar2ndarray( 1.0, { | |
| 'dtype': 'float32' | |
| }); |
Be consistent. See L30-32.
kgryte
reviewed
Dec 24, 2025
| const x = zeros( [ 10 ], { | ||
| 'dtype': 'float32' | ||
| }); | ||
| const correction = scalar2ndarray( 1.0, { 'dtype': 'float32' } ); |
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| const correction = scalar2ndarray( 1.0, { 'dtype': 'float32' } ); | |
| const correction = scalar2ndarray( 1.0, { | |
| 'dtype': 'float32' | |
| }); |
kgryte
reviewed
Dec 24, 2025
| * var sstdev = require( '@stdlib/stats/base/ndarray/sstdev' ); | ||
| * | ||
| * var opts = { | ||
| * 'dtype': 'generic' |
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Incorrect. You need to pass down a Float32Array.
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See main.js example. Beware of copy-paste mistakes.
kgryte
reviewed
Dec 24, 2025
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| var tape = require( 'tape' ); | ||
| var sqrt = require( '@stdlib/math/base/special/sqrt' ); | ||
| var isnan = require( '@stdlib/math/base/assert/is-nan' ); |
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| var isnan = require( '@stdlib/math/base/assert/is-nan' ); | |
| var isnanf = require( '@stdlib/math/base/assert/is-nanf' ); |
Single-precision utils for single-precision data.
kgryte
reviewed
Dec 24, 2025
| b.tic(); | ||
| for ( i = 0; i < b.iterations; i++ ) { | ||
| v < 6D47 span class=pl-c1>= sstdev( [ x, correction ] ); | ||
| if ( isnan( v ) ) { |
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| if ( isnan( v ) ) { | |
| if ( isnanf( v ) ) { |
kgryte
reviewed
Dec 24, 2025
| } | ||
| } | ||
| b.toc(); | ||
| if ( isnan( v ) ) { |
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| if ( isnan( v ) ) { | |
| if ( isnanf( v ) ) { |
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type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
task: lint_filenames status: passed
task: lint_editorconfig status: passed
task: lint_markdown status: passed
task: lint_package_json status: passed
task: lint_repl_help status: passed
task: lint_javascript_src status: passed
task: lint_javascript_cli status: na
task: lint_javascript_examples status: passed
task: lint_javascript_tests status: passed
task: lint_javascript_benchmarks status: passed
task: lint_python status: na
task: lint_r status: na
task: lint_c_src status: na
task: lint_c_examples status: na
task: lint_c_benchmarks status: na
task: lint_c_tests_fixtures status: na
task: lint_shell status: na
task: lint_typescript_declarations status: passed
task: lint_typescript_tests status: passed
task: lint_license_headers status: passed
Resolves None.
Description
What is the purpose of this pull request?
This pull request:
stats/base/ndarray/sstdevRelated Issues
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This PR was created by duplicating the
stdevpackage and adapting it to compute the maximum absolute value instead of the maximum value. GitHub Copilot assisted with updating test cases, documentation, and verifying consistency across all files.@stdlib-js/reviewers