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remove: remove stats/base/dnanmeanwd from namespace
This commit removes the `dnanmeanwd` symbol from the `@stdlib/stats/base` namespace due to a package migration. BREAKING CHANGE: remove `stats/base/dnanmeanwd` To migrate, users should access the same symbol via the `@stdlib/stats/strided/dnanmeanwd` namespace. Ref: #4797 --- 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: na - task: lint_package_json status: na - task: lint_repl_help status: na - task: lint_javascript_src status: passed - task: lint_javascript_cli status: na - task: lint_javascript_examples status: na - task: lint_javascript_tests status: na - task: lint_javascript_benchmarks status: na - 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: na - task: lint_license_headers status: passed ---
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lib/node_modules/@stdlib/stats/base/docs/types/index.d.ts

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@@ -35,7 +35,6 @@ import dmeanvarpn = require( '@stdlib/stats/base/dmeanvarpn' );
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import dmskmax = require( '@stdlib/stats/base/dmskmax' );
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import dmskmin = require( '@stdlib/stats/base/dmskmin' );
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import dmskrange = require( '@stdlib/stats/base/dmskrange' );
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import dnanmeanwd = require( '@stdlib/stats/base/dnanmeanwd' );
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import dnanminabs = require( '@stdlib/stats/base/dnanminabs' );
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import dnanmskmax = require( '@stdlib/stats/base/dnanmskmax' );
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import dnanmskmin = require( '@stdlib/stats/base/dnanmskmin' );
@@ -640,32 +639,6 @@ interface Namespace {
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*/
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dmskrange: typeof dmskrange;
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/**
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* Computes the arithmetic mean of a double-precision floating-point strided array, using Welford's algorithm and ignoring `NaN` values.
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*
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* @param N - number of indexed elements
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* @param x - input array
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* @param strideX - stride length
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* @returns arithmetic mean
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*
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* @example
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* var Float64Array = require( '@stdlib/array/float64' );
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*
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* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
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*
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* var v = ns.dnanmeanwd( x.length, x, 1 );
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* // returns ~0.3333
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*
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* @example
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* var Float64Array = require( '@stdlib/array/float64' );
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*
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* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
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*
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* var v = ns.dnanmeanwd.ndarray( x.length, x, 1, 0 );
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* // returns ~0.3333
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*/
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dnanmeanwd: typeof dnanmeanwd;
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/**
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* Computes the minimum absolute value of a double-precision floating-point strided array, ignoring `NaN` values.
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*

lib/node_modules/@stdlib/stats/base/lib/index.js

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@@ -171,15 +171,6 @@ setReadOnly( ns, 'dmskmin', require( '@stdlib/stats/base/dmskmin' ) );
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*/
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setReadOnly( ns, 'dmskrange', require( '@stdlib/stats/base/dmskrange' ) );
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/**
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* @name dnanmeanwd
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* @memberof ns
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* @readonly
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* @type {Function}
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* @see {@link module:@stdlib/stats/base/dnanmeanwd}
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*/
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setReadOnly( ns, 'dnanmeanwd', require( '@stdlib/stats/base/dnanmeanwd' ) );
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/**
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* @name dnanminabs
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* @memberof ns

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