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may not use this file except in compliance with the License.\nYou may obtain a copy of the License at\n\n   http://www.apache.org/licenses/LICENSE-2.0\n\nUnless required by applicable law or agreed to in writing, software\ndistributed under the License is distributed on an \"AS IS\" BASIS,\nWITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\nSee the License for the specific language governing permissions and\nlimitations under the License.\n\n-->\n\n\n<details>\n  <summary>\n    About stdlib...\n  </summary>\n  <p>We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.</p>\n  <p>The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.</p>\n  <p>When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.</p>\n  <p>To join us in bringing numerical computing to the web, get started by checking us out on <a href=\"https://github.com/stdlib-js/stdlib\">GitHub</a>, and please consider <a href=\"https://opencollective.com/stdlib\">financially supporting stdlib</a>. We greatly appreciate your continued support!</p>\n</details>\n\n# Logarithm of Probability Density Function\n\n[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url] <!-- [![dependencies][dependencies-image]][dependencies-url] -->\n\n> [Degenerate distribution][degenerate-distribution] logarithm of [probability density function][pdf] (logPDF).\n\n<section class=\"intro\">\n\nStrictly speaking, as a discrete distribution, a [degenerate][degenerate-distribution] has no [probability density function][pdf] (PDF). Extending the notion of a [PDF][pdf], we conceptualize the [PDF][pdf] of a [degenerate][degenerate-distribution] distribution as an infinitely tall spike centered at `mu`. More formally,\n\n<!-- <equation class=\"equation\" label=\"eq:degenerate_pdf\" align=\"center\" raw=\"f(x;\\mu) = \\delta(x-\\mu)\" alt=\"Probability density function (PDF) for a degenerate distribution.\"> -->\n\n<div class=\"equation\" align=\"center\" data-raw-text=\"f(x;\\mu) = \\delta(x-\\mu)\" data-equation=\"eq:degenerate_pdf\">\n    <img src=\"https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@51534079fef45e990850102147e8945fb023d1d0/lib/node_modules/@stdlib/stats/base/dists/degenerate/logpdf/docs/img/equation_degenerate_pdf.svg\" alt=\"Probability density function (PDF) for a degenerate distribution.\">\n    <br>\n</div> -->\n\n<!-- </equation> -->\n\nwhere `delta` is the Dirac delta function.\n\n<!-- <equation class=\"equation\" label=\"eq:dirac_delta\" align=\"center\" raw=\"\\delta(x) = {\\begin{cases}+\\infty , & x = 0\\\\0, & x \\neq 0\\end{cases}}\" alt=\"Dirac delta function.\"> -->\n\n<!-- <div class=\"equation\" align=\"center\" data-raw-text=\"\\delta(x) = {\\begin{cases}+\\infty , &amp; x = 0\\\\0, &amp; x \\neq 0\\end{cases}}\" data-equation=\"eq:dirac_delta\">\n    <img src=\"https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@51534079fef45e990850102147e8945fb023d1d0/lib/node_modules/@stdlib/stats/base/dists/degenerate/logpdf/docs/img/equation_dirac_delta.svg\" alt=\"Dirac delta function.\">\n    <br>\n</div>\n\n<!-- </equation> -->\n\n</section>\n\n<!-- /.intro -->\n\n<section class=\"installation\">\n\n## Installation\n\n```bash\nnpm install @stdlib/stats-base-dists-degenerate-logpdf\n```\n\n</section>\n\n<section class=\"usage\">\n\n## Usage\n\n```javascript\nvar logpdf = require( '@stdlib/stats-base-dists-degenerate-logpdf' );\n```\n\n#### logpdf( x, mu )\n\nEvaluates the natural logarithm of the [PDF][pdf] of a [degenerate distribution][degenerate-distribution] centered at `mu`.\n\n```javascript\nvar y = logpdf( 2.0, 8.0 );\n// returns -Infinity\n\ny = logpdf( 8.0, 8.0 );\n// returns Infinity\n```\n\n#### logpdf.factory( mu )\n\nReturns a function for evaluating the natural logarithm of the [PDF][pdf] of a [degenerate distribution][degenerate-distribution] centered at `mu`.\n\n```javascript\nvar mylogpdf = logpdf.factory( 10.0 );\n\nvar y = mylogpdf( 10.0 );\n// returns Infinity\n\ny = mylogpdf( 5.0 );\n// returns -Infinity\n\ny = mylogpdf( 12.0 );\n// returns -Infinity\n```\n\n</section>\n\n<!-- /.usage -->\n\n<section class=\"examples\">\n\n## Examples\n\n<!-- eslint no-undef: \"error\" -->\n\n```javascript\nvar discreteUniform = require( '@stdlib/random-array-discrete-uniform' );\nvar logEachMap = require( '@stdlib/console-log-each-map' );\nvar logpdf = require( '@stdlib/stats-base-dists-degenerate-logpdf' );\n\nvar opts = {\n    'dtype': 'float64'\n};\nvar x = discreteUniform( 100, 0, 5, opts );\nvar mu = discreteUniform( 100, 0, 5, opts );\n\nlogEachMap( 'x: %d, µ: %d, ln(f(x;µ)): %0.4f', x, mu, logpdf );\n```\n\n</section>\n\n<!-- /.examples -->\n\n<!-- C interface documentation. -->\n\n* * *\n\n<section class=\"c\">\n\n## C APIs\n\n<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->\n\n<section class=\"intro\">\n\n</section>\n\n<!-- /.intro -->\n\n<!-- C usage documentation. -->\n\n<section class=\"usage\">\n\n### Usage\n\n```c\n#include \"stdlib/stats/base/dists/degenerate/logpdf.h\"\n```\n\n#### stdlib_base_dists_degenerate_logpdf( x, mu )\n\nEvaluates the natural logarithm of the probability density function (logPDF) for a degenerate distribution.\n\n```c\ndouble out = stdlib_base_dists_degenerate_logpdf( 2.0, 3.0 );\n// returns -Infinity\n```\n\nThe function accepts the following arguments:\n\n-   **x**: `[in] double` input value.\n-   **mu**: `[in] double` constant value of the distribution.\n\n```c\ndouble stdlib_base_dists_degenerate_logpdf( const double x, const double mu );\n```\n\n</section>\n\n<!-- /.usage -->\n\n<!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->\n\n<section class=\"notes\">\n\n</section>\n\n<!-- /.notes -->\n\n<!-- C API usage examples. -->\n\n<section class=\"examples\">\n\n### Examples\n\n```c\n#include \"stdlib/stats/base/dists/degenerate/logpdf.h\"\n#include <stdlib.h>\n#include <stdio.h>\n\nstatic double random_uniform( const double min, const double max ) {\n    double v = (double)rand() / ( (double)RAND_MAX + 1.0 );\n    return min + ( v*(max-min) );\n}\n\nint main( void ) {\n    double mu;\n    double x;\n    double y;\n    int i;\n\n    for ( i = 0; i < 25; i++ ) {\n        x = random_uniform( 0.0, 5.0 );\n        mu = random_uniform( 0.0, 5.0 );\n        y = stdlib_base_dists_degenerate_logpdf( x, mu );\n        printf( \"x: %lf, µ: %lf, ln(f(x;µ)): %lf\\n\", x, mu, y );\n    }\n}\n```\n\n</section>\n\n<!-- /.examples -->\n\n</section>\n\n<!-- /.c -->\n\n<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->\n\n<section class=\"related\">\n\n</section>\n\n<!-- /.related -->\n\n<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->\n\n\n<section class=\"main-repo\" >\n\n* * *\n\n## Notice\n\nThis package is part of [stdlib][stdlib], a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.\n\nFor more information on the project, filing bug reports and feature requests, and guidance on how to develop [stdlib][stdlib], see the main project [repository][stdlib].\n\n#### Community\n\n[![Chat][chat-image]][chat-url]\n\n---\n\n## License\n\nSee [LICENSE][stdlib-license].\n\n\n## Copyright\n\nCopyright &copy; 2016-2026. The Stdlib [Authors][stdlib-authors].\n\n</section>\n\n<!-- /.stdlib -->\n\n<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->\n\n<section class=\"links\">\n\n[npm-image]: http://img.shields.io/npm/v/@stdlib/stats-base-dists-degenerate-logpdf.svg\n[npm-url]: https://npmjs.org/package/@stdlib/stats-base-dists-degenerate-logpdf\n\n[test-image]: https://github.com/stdlib-js/stats-base-dists-degenerate-logpdf/actions/workflows/test.yml/badge.svg?branch=v0.3.1\n[test-url]: https://github.com/stdlib-js/stats-base-dists-degenerate-logpdf/actions/workflows/test.yml?query=branch:v0.3.1\n\n[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/stats-base-dists-degenerate-logpdf/main.svg\n[coverage-url]: https://codecov.io/github/stdlib-js/stats-base-dists-degenerate-logpdf?branch=main\n\n<!--\n\n[dependencies-image]: https://img.shields.io/david/stdlib-js/stats-base-dists-degenerate-logpdf.svg\n[dependencies-url]: https://david-dm.org/stdlib-js/stats-base-dists-degenerate-logpdf/main\n\n-->\n\n[chat-image]: https://img.shields.io/badge/zulip-join_chat-brightgreen.svg\n[chat-url]: https://stdlib.zulipchat.com\n\n[stdlib]: https://github.com/stdlib-js/stdlib\n\n[stdlib-authors]: https://github.com/stdlib-js/stdlib/graphs/contributors\n\n[umd]: https://github.com/umdjs/umd\n[es-module]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Modules\n\n[deno-url]: https://github.com/stdlib-js/stats-base-dists-degenerate-logpdf/tree/deno\n[deno-readme]: https://github.com/stdlib-js/stats-base-dists-degenerate-logpdf/blob/deno/README.md\n[umd-url]: https://github.com/stdlib-js/stats-base-dists-degenerate-logpdf/tree/umd\n[umd-readme]: https://github.com/stdlib-js/stats-base-dists-degenerate-logpdf/blob/umd/README.md\n[esm-url]: https://github.com/stdlib-js/stats-base-dists-degenerate-logpdf/tree/esm\n[esm-readme]: https://github.com/stdlib-js/stats-base-dists-degenerate-logpdf/blob/esm/README.md\n[branches-url]: https://github.com/stdlib-js/stats-base-dists-degenerate-logpdf/blob/main/branches.md\n\n[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/stats-base-dists-degenerate-logpdf/main/LICENSE\n\n[pdf]: https://en.wikipedia.org/wiki/Probability_density_function\n\n[degenerate-distribution]: https://en.wikipedia.org/wiki/Degenerate_distribution\n\n</section>\n\n<!-- /.links -->\n","readmeFilename":"README.md"}