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chore: minor clean-up
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‎lib/node_modules/@stdlib/_tools/github/create-token/lib/request.js

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@@ -115,7 +115,7 @@ function request( opts, data, clbk ) {
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body += chunk;
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}
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/**
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* Event listener invoked upon a response end.
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* Event listener invoked upon a response end.
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*
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* @private
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* @returns {void}

‎lib/node_modules/@stdlib/_tools/remark/plugins/remark-svg-equations/lib/transformer.js

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* <!-- <equation class="equation" label="eq:triangular_root" align="center" raw="n = \frac{\sqrt{8x+1} - 1}{2}" alt="Triangular root formula."> -->
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*
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* <div class="equation" align="center" data-raw-text="n = \frac{\sqrt{8x+1} - 1}{2}" data-equation="eq:triangular_root">
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* <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@b295a09a80f4fd0cc84682dcda0fe3e354394c0c/lib/node_modules/@stdlib/assert/is-square-triangular-number/docs/img/equation_triangular_root.svg" alt="Triangular root formula.">
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* <br>
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* <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@b295a09a80f4fd0cc84682dcda0fe3e354394c0c/lib/node_modules/@stdlib/assert/is-square-triangular-number/docs/img/equation_triangular_root.svg" alt="Triangular root formula.">
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* <br>
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* </div>
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*
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* <!-- </equation> -->
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* \`\`\`
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*
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* <!-- <div class="equation" align="center" data-raw-text="n = \frac{\sqrt{8x+1} - 1}{2}" data-equation="eq:triangular_root">
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* <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@b295a09a80f4fd0cc84682dcda0fe3e354394c0c/lib/node_modules/@stdlib/assert/is-square-triangular-number/docs/img/equation_triangular_root.svg" alt="Triangular root formula.">
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* <br>
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* <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@b295a09a80f4fd0cc84682dcda0fe3e354394c0c/lib/node_modules/@stdlib/assert/is-square-triangular-number/docs/img/equation_triangular_root.svg" alt="Triangular root formula.">
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* <br>
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* </div> -->
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*
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* <!-- </equation> -->

‎lib/node_modules/@stdlib/array/base/take-map/lib/index.js

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* var x = [ 1, 2, 3, 4 ];
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*
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* function mapFunction( val ) {
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return val;
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}
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* return val;
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* }
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*
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* var indices = [ 0, 0, 1, 1, 3, 3 ];
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* var y = takeMap( x, indices, 'throw', mapFunction );
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* var indices = [ 0, 0, 1, 1, 3, 3 ];
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*
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* function clbk( val ) {
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return val;
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}
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* return val;
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* }
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*
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* var arr = takeMap.assign( x, indices, 'throw', out, 1, 0, mapFunction );
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* // returns [ 1, 1, 2, 2, 4, 4 ]

‎lib/node_modules/@stdlib/math/base/special/csch/lib/index.js

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*
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* @example
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* var csch = require( '@stdlib/math/base/special/csch' );
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*
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* var v = csch( 0.0 );
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* // returns Infinity
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*
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* v = csch( 2.0 );
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* // returns ~0.2757
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*
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* v = csch( -2.0 );
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* // returns ~-0.2757
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*
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* v = csch( NaN );
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* // returns NaN
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*
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* var v = csch( 0.0 );
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* // returns Infinity
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*
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* v = csch( 2.0 );
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* // returns ~0.2757
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*
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* v = csch( -2.0 );
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* // returns ~-0.2757
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*
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* v = csch( NaN );
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* // returns NaN
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*/
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// MODULES //

‎lib/node_modules/@stdlib/regexp/decimal-number/lib/regexp.js

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* - `[0-9]+`
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* - match the characters `[0-9]` one or more times
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*
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*
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@constant
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* @constant
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* @type {RegExp}
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* @default /[-+]{0,1}[0-9]*\.[0-9]+/
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*/

‎lib/node_modules/@stdlib/regexp/decimal-number/lib/regexp_capture.js

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* - `[0-9]+`
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* - match the characters `[0-9]` one or more times
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*
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*
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@constant
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* @constant
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* @default /([-+]{0,1}[0-9]*\.[0-9]+)/
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*/

‎lib/node_modules/@stdlib/stats/base/dists/f/cdf/README.md

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#### cdf.factory( d1, d2 )
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Returns a function for evaluating the [cumulative distribution function][cdf] of a [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
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Returns a function for evaluating the [cumulative distribution function][cdf] of an [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
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```javascript
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var mycdf = cdf.factory( 10.0, 2.0 );

‎lib/node_modules/@stdlib/stats/base/dists/f/entropy/README.md

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#### entropy( d1, d2 )
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Returns the [differential entropy][entropy] of a [F][f-distribution] distribution with numerator degrees of freedom `d1` and denominator degrees of freedom `d2` (in [nats][nats]).
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Returns the [differential entropy][entropy] of an [F][f-distribution] distribution with numerator degrees of freedom `d1` and denominator degrees of freedom `d2` (in [nats][nats]).
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```javascript
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#### stdlib_base_dists_f_entropy( d1, d2 )
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Evaluates the [differential entropy][entropy] of a [F][f-distribution] distribution with numerator degrees of freedom `d1` and denominator degrees of freedom `d2` (in [nats][nats]).
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Evaluates the [differential entropy][entropy] of an [F][f-distribution] distribution with numerator degrees of freedom `d1` and denominator degrees of freedom `d2` (in [nats][nats]).
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```c
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double out = stdlib_base_dists_f_entropy( 3.0, 7.0 );

‎lib/node_modules/@stdlib/stats/base/dists/f/mean/README.md

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#### mean( d1, d2 )
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Returns the [expected value][expected-value] of a [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
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Returns the [expected value][expected-value] of an [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
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#### stdlib_base_dists_f_mean( d1, d2 )
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Evaluates the [expected value][expected-value] of a [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
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Evaluates the [expected value][expected-value] of an [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
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double out = stdlib_base_dists_f_mean( 3.0, 5.0 );

‎lib/node_modules/@stdlib/stats/base/dists/f/mode/README.md

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#### mode( d1, d2 )
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Returns the [mode][mode] of a [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
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Returns the [mode][mode] of an [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
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#### stdlib_base_dists_f_mode( d1, d2 )
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Evaluates the [mode][mode] of a [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
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Evaluates the [mode][mode] of an [F][f-distribution] distribution with parameters `d1` (numerator degrees of freedom) and `d2` (denominator degrees of freedom).
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double out = stdlib_base_dists_f_mode( 3.0, 5.0 );

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