From 026e61469d304df5bf746990668d03dbf8118f00 Mon Sep 17 00:00:00 2001
From: Jaysukh-409 <jaysukhmakvana2004@gmail.com>
Date: Mon, 23 Dec 2024 23:04:38 +0530
Subject: [PATCH 1/5] feat: add stats/base/dists/planck/logpmf

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---
 .../stats/base/dists/planck/logpmf/README.md  | 155 +++++++++++++++
 .../planck/logpmf/benchmark/benchmark.js      |  79 ++++++++
 .../base/dists/planck/logpmf/docs/repl.txt    |  64 ++++++
 .../dists/planck/logpmf/docs/types/index.d.ts | 114 +++++++++++
 .../dists/planck/logpmf/docs/types/test.ts    |  98 ++++++++++
 .../dists/planck/logpmf/examples/index.js     |  41 ++++
 .../base/dists/planck/logpmf/lib/factory.js   |  78 ++++++++
 .../base/dists/planck/logpmf/lib/index.js     |  60 ++++++
 .../base/dists/planck/logpmf/lib/main.js      |  77 ++++++++
 .../base/dists/planck/logpmf/package.json     |  67 +++++++
 .../test/fixtures/python/large_lambda.json    |   1 +
 .../logpmf/test/fixtures/python/runner.py     |  87 +++++++++
 .../test/fixtures/python/small_lambda.json    |   1 +
 .../dists/planck/logpmf/test/test.factory.js  | 182 ++++++++++++++++++
 .../base/dists/planck/logpmf/test/test.js     |  38 ++++
 .../dists/planck/logpmf/test/test.logpmf.js   | 140 ++++++++++++++
 16 files changed, 1282 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/README.md
 create mode 100644 lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/factory.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/package.json
 create mode 100644 lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/fixtures/python/large_lambda.json
 create mode 100644 lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/fixtures/python/runner.py
 create mode 100644 lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/fixtures/python/small_lambda.json
 create mode 100644 lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.factory.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.logpmf.js

diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/README.md b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/README.md
new file mode 100644
index 000000000000..616d684092b6
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/README.md
@@ -0,0 +1,155 @@
+<!--
+
+@license Apache-2.0
+
+Copyright (c) 2024 The Stdlib Authors.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+   http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+
+-->
+
+# Logarithm of Probability Mass Function
+
+> Planck distribution logarithm of [probability mass function][pmf] (PMF).
+
+<section class="intro">
+
+The [probability mass function][pmf] (PMF) for a Planck random variable is defined as
+
+<!-- <equation class="equation" label="eq:planck_pmf" align="center" raw="\Pr(X = x, \lambda) = \begin{cases}(1 - e^{-\lambda})e^{-\lambda x} & \text{for } x = 0, 1, 2, \ldots \\ 0 & \text{otherwise} \end{cases}" alt="Probability mass function (PMF) for a Planck distribution."> -->
+
+```math
+\Pr(X = x, \lambda) = \begin{cases}(1 - e^{-\lambda})e^{-\lambda x} & \text{for } x = 0, 1, 2, \ldots \\ 0 & \text{otherwise} \end{cases}
+```
+
+<!-- </equation> -->
+
+where `lambda > 0` is the shape parameter. The random variable `X` denotes the count of events in a quantized system.
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var logpmf = require( '@stdlib/stats/base/dists/planck/logpmf' );
+```
+
+#### logpmf( x, lambda )
+
+Evaluates the logarithm of the [probability mass function][pmf] (PMF) of a Planck distribution with shape parameter `lambda`.
+
+```javascript
+var y = logpmf( 4.0, 0.3 );
+// returns ~-2.5502
+
+y = logpmf( 2.0, 1.7 );
+// returns ~-3.6017
+
+y = logpmf( -1.0, 2.5 );
+// returns -Infinity
+```
+
+If provided `NaN` as any argument, the function returns `NaN`.
+
+```javascript
+var y = logpmf( NaN, 0.0 );
+// returns NaN
+
+y = logpmf( 0.0, NaN );
+// returns NaN
+```
+
+If provided a shape parameter `lambda` which is negative number, the function returns `NaN`.
+
+```javascript
+var y = logpmf( 2.0, -1.0 );
+// returns NaN
+```
+
+#### logpmf.factory( lambda )
+
+Returns a function for evaluating the logarithm of the [probability mass function][pmf] (PMF) of a Planck distribution with shape parameter `lambda`.
+
+```javascript
+var mylogpmf = logpmf.factory( 0.5 );
+var y = mylogpmf( 3.0 );
+// returns ~-2.4328
+
+y = mylogpmf( 1.0 );
+// returns ~-1.4328
+```
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   In virtually all cases, using the `logpmf` or `logcdf` functions is preferable to manually computing the logarithm of the `pmf` or `cdf`, respectively, since the latter is prone to overflow and underflow.
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var logpmf = require( '@stdlib/stats/base/dists/planck/logpmf' );
+
+var lambda;
+var x;
+var y;
+var i;
+
+x = discreteUniform( 10, 0, 5 );
+lambda = uniform( 10, 0.0, 5.0 );
+
+for ( i = 0; i < 10; i++ ) {
+    y = logpmf( x[ i ], lambda[ i ] );
+    console.log( 'x: %d, lambda: %d, ln( P( X = x; lambda ) ): %d', x[ i ], lambda[ i ].toFixed( 4 ), y.toFixed( 4 ) );
+}
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
+
+<section class="related">
+
+</section>
+
+<!-- /.related -->
+
+<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="links">
+
+[pmf]: https://en.wikipedia.org/wiki/Probability_mass_function
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/benchmark/benchmark.js
new file mode 100644
index 000000000000..0d2c33428b13
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/benchmark/benchmark.js
@@ -0,0 +1,79 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pkg = require( './../package.json' ).name;
+var logpmf = require( './../lib' );
+
+
+// MAIN //
+
+bench( pkg, function benchmark( b ) {
+	var lambda;
+	var x;
+	var y;
+	var i;
+
+	x = discreteUniform( 100, 0, 40 );
+	lambda = uniform( 100, 0.0, 10.0 );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		y = logpmf( x[ i % x.length ], lambda[ i % lambda.length ] );
+		if ( isnan( y ) ) {
+			b.fail( 'should not return NaN' );
+		}
+	}
+	b.toc();
+	if ( isnan( y ) ) {
+		b.fail( 'should not return NaN' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
+
+bench( pkg+':factory', function benchmark( b ) {
+	var mylogpmf;
+	var x;
+	var y;
+	var i;
+
+	x = discreteUniform( 100, 0, 40 );
+	mylogpmf = logpmf.factory( 0.3 );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		y = mylogpmf( x[ i % x.length ] );
+		if ( isnan( y ) ) {
+			b.fail( 'should not return NaN' );
+		}
+	}
+	b.toc();
+	if ( isnan( y ) ) {
+		b.fail( 'should not return NaN' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/repl.txt
new file mode 100644
index 000000000000..508c6d6dbd91
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/repl.txt
@@ -0,0 +1,64 @@
+
+{{alias}}( x, lambda )
+    Evaluates the logarithm of the probability mass function (PMF) for a
+    Planck distribution with shape parameter `lambda` at a value `x`.
+
+    If provided `NaN` as any argument, the function returns `NaN`.
+
+    If `lambda < 0`, the function returns `NaN`.
+
+    Parameters
+    ----------
+    x: number
+        Input value.
+
+    lambda: number
+        Shape parameter.
+
+    Returns
+    -------
+    out: number
+        Evaluated logPMF.
+
+    Examples
+    --------
+    > var y = {{alias}}( 4.0, 0.3 )
+    ~-2.5502
+    > y = {{alias}}( 2.0, 1.7 )
+    ~-3.6017
+    > y = {{alias}}( -1.0, 2.5 )
+    -Infinity
+    > y = {{alias}}( 0.0, NaN )
+    NaN
+    > y = {{alias}}( NaN, 0.5 )
+    NaN
+    // Invalid shape parameter:
+    > y = {{alias}}( 2.0, -1.0 )
+    NaN
+
+
+{{alias}}.factory( lambda )
+    Returns a function for evaluating the logarithm of the probability mass
+    function (PMF) of a Planck distribution with shape parameter `lambda`.
+
+    Parameters
+    ----------
+    lambda: number
+        Shape parameter.
+
+    Returns
+    -------
+    logpmf: Function
+        Logarithm of probability mass function (PMF).
+
+    Examples
+    --------
+    > var mylogpmf = {{alias}}.factory( 0.5 );
+    > var y = mylogpmf( 3.0 )
+    ~-2.4328
+    > y = mylogpmf( 1.0 )
+    ~-1.4328
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/types/index.d.ts
new file mode 100644
index 000000000000..f092565169b2
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/types/index.d.ts
@@ -0,0 +1,114 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2024 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+// TypeScript Version: 4.1
+
+/**
+* Evaluates the natural logarithm of the probability mass function (PMF) for a Planck distribution.
+*
+* @param x - input value
+* @returns evaluated PMF
+*/
+type Unary = ( x: number ) => number;
+
+/**
+* Interface for the natural logarithm of the probability mass function (PMF) of a Planck distribution.
+*/
+interface LogPMF {
+	/**
+	* Evaluates the logarithm of the probability mass function (PMF) for a Planck distribution with shape parameter `lambda` at a value `x`.
+	*
+	* ## Notes
+	*
+	* -   If `lambda < 0`, the function returns `NaN`.
+	*
+	* @param x - input value
+	* @param lambda - shape parameter
+	* @returns logarithm of PMF
+	*
+	* @example
+	* var y = logpmf( 4.0, 0.3 );
+	* // returns ~-2.5502
+	*
+	* @example
+	* var y = logpmf( 2.0, 1.7 );
+	* // returns ~-3.6017
+	*
+	* @example
+	* var y = logpmf( -1.0, 2.5 );
+	* // returns -Infinity
+	*
+	* @example
+	* var y = logpmf( 0.0, NaN );
+	* // returns NaN
+	*
+	* @example
+	* var y = logpmf( NaN, 0.5 );
+	* // returns NaN
+	*
+	* @example
+	* // Invalid shape parameter:
+	* var y = logpmf( 2.0, -1.0 );
+	* // returns NaN
+	*/
+	( x: number, lambda: number ): number;
+
+	/**
+	* Returns a function for evaluating the logarithm of the probability mass function (PMF) for a Planck distribution with shape parameter `lambda`.
+	*
+	* @param lambda - shape parameter
+	* @returns logPMF
+	*
+	* @example
+	* var mylogpmf = logpmf.factory( 0.5 );
+	* var y = mylogpmf( 3.0 );
+	* // returns ~-2.4327
+	*
+	* y = mylogpmf( 1.0 );
+	* // returns ~-1.4327
+	*/
+	factory( lambda: number ): Unary;
+}
+
+/**
+* Planck distribution natural logarithm of probability mass function (PMF).
+*
+* @param x - input value
+* @param lambda - shape parameter
+* @returns evaluated logPMF
+*
+* @example
+* var y = logpmf( 4.0, 0.3 );
+* // returns ~-2.5502
+*
+* y = logpmf( 2.0, 1.7 );
+* // returns ~-3.6017
+*
+* var mylogpmf = logpmf.factory( 0.5 );
+* y = mylogpmf( 3.0 );
+* // returns ~-2.4327
+*
+* y = mylogpmf( 1.0 );
+* // returns ~-1.4327
+*/
+declare var logPMF: LogPMF;
+
+
+// EXPORTS //
+
+export = logPMF;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/types/test.ts
new file mode 100644
index 000000000000..7052a140ebc7
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/types/test.ts
@@ -0,0 +1,98 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2024 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+import logpmf = require( './index' );
+
+
+// TESTS //
+
+// The function returns a number...
+{
+	logpmf( 2, 0.4 ); // $ExpectType number
+	logpmf( 1, 0.2 ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided values other than two numbers...
+{
+	logpmf( true, 0.3 ); // $ExpectError
+	logpmf( false, 0.2 ); // $ExpectError
+	logpmf( '5', 0.1 ); // $ExpectError
+	logpmf( [], 0.1 ); // $ExpectError
+	logpmf( {}, 0.4 ); // $ExpectError
+	logpmf( ( x: number ): number => x, 0.2 ); // $ExpectError
+
+	logpmf( 0, true ); // $ExpectError
+	logpmf( 1, false ); // $ExpectError
+	logpmf( 0, '5' ); // $ExpectError
+	logpmf( 1, [] ); // $ExpectError
+	logpmf( 2, {} ); // $ExpectError
+	logpmf( 3, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+	logpmf(); // $ExpectError
+	logpmf( 0 ); // $ExpectError
+	logpmf( 1, 0.3, 4 ); // $ExpectError
+}
+
+// Attached to main export is a `factory` method which returns a function...
+{
+	logpmf.factory( 0.4 ); // $ExpectType Unary
+}
+
+// The `factory` method returns a function which returns a number...
+{
+	const fcn = logpmf.factory( 0.4 );
+	fcn( 2 ); // $ExpectType number
+}
+
+// The compiler throws an error if the function returned by the `factory` method is provided an invalid argument...
+{
+	const fcn = logpmf.factory( 0.4 );
+	fcn( true ); // $ExpectError
+	fcn( false ); // $ExpectError
+	fcn( '5' ); // $ExpectError
+	fcn( [] ); // $ExpectError
+	fcn( {} ); // $ExpectError
+	fcn( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function returned by the `factory` method is provided an unsupported number of arguments...
+{
+	const fcn = logpmf.factory( 0.4 );
+	fcn(); // $ExpectError
+	fcn( 2, 0 ); // $ExpectError
+	fcn( 2, 0, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the `factory` method is provided a value other than a number...
+{
+	logpmf.factory( true ); // $ExpectError
+	logpmf.factory( false ); // $ExpectError
+	logpmf.factory( '5' ); // $ExpectError
+	logpmf.factory( [] ); // $ExpectError
+	logpmf.factory( {} ); // $ExpectError
+	logpmf.factory( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the `factory` method is provided an unsupported number of arguments...
+{
+	logpmf.factory( 0, 0.2 ); // $ExpectError
+	logpmf.factory( 0, 0.4, 8 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/examples/index.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/examples/index.js
new file mode 100644
index 000000000000..b95b9aa5e787
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/examples/index.js
@@ -0,0 +1,41 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var logpmf = require( './../lib' );
+
+var lambda;
+var x;
+var y;
+var i;
+
+x = discreteUniform( 10, 0, 5 );
+lambda = uniform( 10, 0.0, 5.0 );
+
+for ( i = 0; i < 10; i++ ) {
+	y = logpmf( x[ i ], lambda[ i ] );
+	console.log( 'x: %d, lambda: %d, ln( P( X = x; lambda ) ): %d', x[ i ], lambda[ i ].toFixed( 4 ), y.toFixed( 4 ) );
+}
+
+console.log( logpmf(4.0, 0.3) );
+console.log( logpmf(2.0, 1.7) );
+console.log( logpmf(3.0, 0.5) );
+console.log( logpmf(1.0, 0.5) );
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/factory.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/factory.js
new file mode 100644
index 000000000000..c5ae979a4dc9
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/factory.js
@@ -0,0 +1,78 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var constantFunction = require( '@stdlib/utils/constant-function' );
+var isNonNegativeInteger = require( '@stdlib/math/base/assert/is-nonnegative-integer' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var expm1 = require( '@stdlib/math/base/special/expm1' );
+var ln = require( '@stdlib/math/base/special/ln' );
+var NINF = require( '@stdlib/constants/float64/ninf' );
+
+
+// MAIN //
+
+/**
+* Returns a function for evaluating the logarithm of the probability mass function (PMF) for a Planck distribution with shape parameter `lambda`.
+*
+* @param {NonNegativeNumber} lambda - shape parameter
+* @returns {Function} logPMF
+*
+* @example
+* var logpmf = factory( 0.5 );
+* var y = logpmf( 3.0 );
+* // returns ~-2.4328
+*
+* y = logpmf( 1.0 );
+* // returns ~-1.4328
+*/
+function factory( lambda ) {
+	if ( isnan( lambda ) || lambda < 0.0 ) {
+		return constantFunction( NaN );
+	}
+	return logpmf;
+
+	/**
+	* Evaluates the logarithm of the probability mass function (PMF) for a Planck distribution.
+	*
+	* @private
+	* @param {number} x - input value
+	* @returns {NonPositiveNumber} evaluated logPMF
+	*
+	* @example
+	* var y = logpmf( 2.0 );
+	* // returns <number>
+	*/
+	function logpmf( x ) {
+		if ( isnan( x ) ) {
+			return NaN;
+		}
+		if ( isNonNegativeInteger( x ) ) {
+			return ln( -expm1( -lambda ) ) - ( lambda * x );
+		}
+		return NINF;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = factory;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/index.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/index.js
new file mode 100644
index 000000000000..3f602ad63d6e
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/index.js
@@ -0,0 +1,60 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+/**
+* Planck distribution logarithm of probability mass function (PMF).
+*
+* @module @stdlib/stats/base/dists/planck/logpmf
+*
+* @example
+* var logpmf = require( '@stdlib/stats/base/dists/planck/logpmf' );
+*
+* var y = logpmf( 4.0, 0.3 );
+* // returns ~-2.5502
+*
+* y = logpmf( 2.0, 1.7 );
+* // returns ~-3.6017
+*
+* y = logpmf( -1.0, 0.5 );
+* // returns 0.0
+*
+* var mylogpmf = logpmf.factory( 0.5 );
+* y = mylogpmf( 3.0 );
+* // returns ~-2.4328
+*
+* y = mylogpmf( 1.0 );
+* // returns ~-1.4328
+*/
+
+// MODULES //
+
+var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
+var main = require( './main.js' );
+var factory = require( './factory.js' );
+
+
+// MAIN //
+
+setReadOnly( main, 'factory', factory );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/main.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/main.js
new file mode 100644
index 000000000000..ac110102cbce
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/main.js
@@ -0,0 +1,77 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var isNonNegativeInteger = require( '@stdlib/math/base/assert/is-nonnegative-integer' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var expm1 = require( '@stdlib/math/base/special/expm1' );
+var ln = require( '@stdlib/math/base/special/ln' );
+var NINF = require( '@stdlib/constants/float64/ninf' );
+
+
+// MAIN //
+
+/**
+* Evaluates the logarithm of the probability mass function (PMF) for a Planck distribution with shape parameter `lambda` at a value `x`.
+*
+* @param {number} x - input value
+* @param {NonNegativeNumber} lambda - shape parameter
+* @returns {NonPositiveNumber} logarithm of PMF
+*
+* @example
+* var y = logpmf( 4.0, 0.3 );
+* // returns ~-2.5502
+*
+* @example
+* var y = logpmf( 2.0, 1.7 );
+* // returns ~-3.6017
+*
+* @example
+* var y = logpmf( -1.0, 2.5 );
+* // returns -Infinity
+*
+* @example
+* var y = logpmf( 0.0, NaN );
+* // returns NaN
+*
+* @example
+* var y = logpmf( NaN, 0.5 );
+* // returns NaN
+*
+* @example
+* // Invalid shape parameter:
+* var y = logpmf( 2.0, -1.0 );
+* // returns NaN
+*/
+function logpmf( x, lambda ) {
+	if ( isnan( x ) || isnan( lambda ) || lambda < 0.0 ) {
+		return NaN;
+	}
+	if ( isNonNegativeInteger( x ) ) {
+		return ln( -expm1( -lambda ) ) - ( lambda * x );
+	}
+	return NINF;
+}
+
+
+// EXPORTS //
+
+module.exports = logpmf;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/package.json b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/package.json
new file mode 100644
index 000000000000..5403559719e0
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/package.json
@@ -0,0 +1,67 @@
+{
+  "name": "@stdlib/stats/base/dists/planck/logpmf",
+  "version": "0.0.0",
+  "description": "Planck distribution logarithm of probability mass function (PMF).",
+  "license": "Apache-2.0",
+  "author": {
+    "name": "The Stdlib Authors",
+    "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+  },
+  "contributors": [
+    {
+      "name": "The Stdlib Authors",
+      "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+    }
+  ],
+  "main": "./lib",
+  "directories": {
+    "benchmark": "./benchmark",
+    "doc": "./docs",
+    "example": "./examples",
+    "lib": "./lib",
+    "test": "./test"
+  },
+  "types": "./docs/types",
+  "scripts": {},
+  "homepage": "https://github.com/stdlib-js/stdlib",
+  "repository": {
+    "type": "git",
+    "url": "git://github.com/stdlib-js/stdlib.git"
+  },
+  "bugs": {
+    "url": "https://github.com/stdlib-js/stdlib/issues"
+  },
+  "dependencies": {},
+  "devDependencies": {},
+  "engines": {
+    "node": ">=0.10.0",
+    "npm": ">2.7.0"
+  },
+  "os": [
+    "aix",
+    "darwin",
+    "freebsd",
+    "linux",
+    "macos",
+    "openbsd",
+    "sunos",
+    "win32",
+    "windows"
+  ],
+  "keywords": [
+    "stdlib",
+    "stdmath",
+    "statistics",
+    "stats",
+    "distribution",
+    "dist",
+    "probability",
+    "pmf",
+    "discrete distribution",
+    "logarithm",
+    "log",
+    "planck",
+    "univariate",
+    "discrete"
+  ]
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/fixtures/python/large_lambda.json b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/fixtures/python/large_lambda.json
new file mode 100644
index 000000000000..d4cd2afb2208
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/fixtures/python/large_lambda.json
@@ -0,0 +1 @@
+{"x": [9.0, 9.0, 2.0, 6.0, 0.0, 7.0, 3.0, 4.0, 5.0, 7.0, 1.0, 5.0, 10.0, 3.0, 1.0, 4.0, 6.0, 10.0, 5.0, 1.0, 5.0, 1.0, 6.0, 9.0, 0.0, 5.0, 3.0, 2.0, 3.0, 5.0, 8.0, 2.0, 3.0, 7.0, 9.0, 2.0, 1.0, 4.0, 7.0, 9.0, 5.0, 7.0, 9.0, 8.0, 6.0, 4.0, 4.0, 1.0, 9.0, 3.0, 0.0, 4.0, 9.0, 9.0, 6.0, 2.0, 2.0, 3.0, 5.0, 0.0, 7.0, 3.0, 2.0, 1.0, 1.0, 6.0, 7.0, 2.0, 8.0, 8.0, 8.0, 10.0, 6.0, 5.0, 0.0, 8.0, 9.0, 7.0, 1.0, 9.0, 1.0, 1.0, 8.0, 5.0, 3.0, 2.0, 0.0, 2.0, 9.0, 4.0, 3.0, 6.0, 5.0, 8.0, 1.0, 1.0, 5.0, 5.0, 6.0, 7.0, 9.0, 1.0, 5.0, 8.0, 2.0, 8.0, 9.0, 7.0, 4.0, 4.0, 7.0, 8.0, 6.0, 4.0, 4.0, 5.0, 5.0, 7.0, 10.0, 6.0, 7.0, 2.0, 2.0, 3.0, 9.0, 3.0, 4.0, 2.0, 3.0, 3.0, 6.0, 2.0, 6.0, 8.0, 9.0, 4.0, 2.0, 10.0, 1.0, 5.0, 0.0, 4.0, 8.0, 6.0, 8.0, 3.0, 1.0, 5.0, 10.0, 1.0, 4.0, 7.0, 3.0, 7.0, 3.0, 4.0, 6.0, 0.0, 2.0, 10.0, 2.0, 4.0, 5.0, 5.0, 4.0, 7.0, 9.0, 3.0, 4.0, 7.0, 0.0, 4.0, 3.0, 0.0, 4.0, 0.0, 0.0, 5.0, 4.0, 9.0, 0.0, 9.0, 1.0, 4.0, 4.0, 8.0, 10.0, 6.0, 3.0, 8.0, 2.0, 6.0, 2.0, 4.0, 10.0, 9.0, 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diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/fixtures/python/runner.py b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/fixtures/python/runner.py
new file mode 100644
index 000000000000..c2e03300d034
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/fixtures/python/runner.py
@@ -0,0 +1,87 @@
+#!/usr/bin/env python
+#
+# @license Apache-2.0
+#
+# Copyright (c) 2024 The Stdlib Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Generate fixtures."""
+
+import os
+import json
+import numpy as np
+from scipy.stats import planck
+
+# Get the file path:
+FILE = os.path.realpath(__file__)
+
+# Extract the directory in which this file resides:
+DIR = os.path.dirname(FILE)
+
+
+def gen(x, lam, name):
+    """
+    Generate fixture data and write to file.
+
+    # Arguments
+
+    * `x`: input values.
+    * `lam`: shape parameter.
+    * `name::str`: output filename.
+
+    # Examples
+
+    ```python
+    python> x = np.random.rand(1000) * 10
+    python> lam = np.random.rand(1000)
+    python> gen(x, lam, "data.json")
+    ```
+    """
+    # Compute PDF values:
+    z = np.array(planck.logpmf(x, lam))
+
+    # Store data to be written to file as a dictionary:
+    data = {
+        "x": x.tolist(),
+        "lambda": lam.tolist(),
+        "expected": z.tolist()
+    }
+
+    # Based on the script directory, create an output filepath:
+    filepath = os.path.join(DIR, name)
+
+    # Write the data to the output filepath as JSON:
+    with open(filepath, "w", encoding='utf-8') as outfile:
+        json.dump(data, outfile)
+
+    # Include trailing newline
+    with open(filepath, "a", encoding='utf-8') as outfile:
+        outfile.write("\n")
+
+
+def main():
+    """Generate fixture data."""
+    # Large shape paramter:
+    x = np.round(np.random.rand(1000) * 10.0)
+    lam = (np.random.rand(1000) * 10) + 10
+    gen(x, lam, "large_lambda.json")
+
+    # Small shape parameter:
+    x = np.round(np.random.rand(1000) * 10.0)
+    lam = np.random.rand(1000) * 0.5
+    gen(x, lam, "small_lambda.json")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/fixtures/python/small_lambda.json b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/fixtures/python/small_lambda.json
new file mode 100644
index 000000000000..e80bd8696bdd
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/fixtures/python/small_lambda.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.factory.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.factory.js
new file mode 100644
index 000000000000..9253795ea9f8
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.factory.js
@@ -0,0 +1,182 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var abs = require( '@stdlib/math/base/special/abs' );
+var PINF = require( '@stdlib/constants/float64/pinf' );
+var NINF = require( '@stdlib/constants/float64/ninf' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var factory = require( './../lib/factory.js' );
+
+
+// FIXTURES //
+
+var smallLambda = require( './fixtures/python/small_lambda.json' );
+var largeLambda = require( './fixtures/python/large_lambda.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof factory, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function returns a function', function test( t ) {
+	var logpmf = factory( 0.5 );
+	t.equal( typeof logpmf, 'function', 'returns a function' );
+	t.end();
+});
+
+tape( 'if provided `NaN` for any parameter, the created function returns `NaN`', function test( t ) {
+	var logpmf;
+	var y;
+
+	logpmf = factory( 0.5 );
+	y = logpmf( NaN );
+	t.equal( isnan( y ), true, 'returns NaN' );
+
+	logpmf = factory( NaN );
+	y = logpmf( 0.0 );
+	t.equal( isnan( y ), true, 'returns NaN' );
+
+	t.end();
+});
+
+tape( 'if provided a finite `lambda`, the function returns a function which returns `-Infinity` when provided `+infinity` for `x`', function test( t ) {
+	var logpmf;
+	var y;
+
+	logpmf = factory( 1.0 );
+	y = logpmf( PINF );
+	t.equal( y, NINF, 'returns -Infinity' );
+
+	t.end();
+});
+
+tape( 'if provided a finite `lambda`, the function returns a function which returns `-Infinity` when provided a negative integer for `x`', function test( t ) {
+	var logpmf;
+	var y;
+
+	logpmf = factory( 0.4 );
+	y = logpmf( -4.0 );
+	t.equal( y, NINF, 'returns -Infinity' );
+
+	y = logpmf( -1.0 );
+	t.equal( y, NINF, 'returns -Infinity' );
+
+	t.end();
+});
+
+tape( 'if provided a finite `lambda`, the function returns a function which returns `-Infinity` when provided a non-integer for `x`', function test( t ) {
+	var logpmf;
+	var y;
+
+	logpmf = factory( 0.4 );
+	y = logpmf( 1.3 );
+	t.equal( y, NINF, 'returns -Infinity' );
+
+	y = logpmf( 1.4 );
+	t.equal( y, NINF, 'returns -Infinity' );
+
+	y = logpmf( 3.2 );
+	t.equal( y, NINF, 'returns -Infinity' );
+
+	y = logpmf( 4.8 );
+	t.equal( y, NINF, 'returns -Infinity' );
+
+	y = logpmf( -1.2 );
+	t.equal( y, NINF, 'returns -Infinity' );
+
+	t.end();
+});
+
+tape( 'if provided a `lambda` which is negative, the created function always returns `NaN`', function test( t ) {
+	var logpmf;
+	var y;
+
+	logpmf = factory( -1.5 );
+
+	y = logpmf( 2.0 );
+	t.equal( isnan( y ), true, 'returns NaN' );
+
+	y = logpmf( 0.0 );
+	t.equal( isnan( y ), true, 'returns NaN' );
+
+	t.end();
+});
+
+tape( 'the created function evaluates the logpmf for `x` given small `lambda`', function test( t ) {
+	var expected;
+	var logpmf;
+	var lambda;
+	var delta;
+	var tol;
+	var i;
+	var x;
+	var y;
+
+	expected = smallLambda.expected;
+	x = smallLambda.x;
+	lambda = smallLambda.lambda;
+	for ( i = 0; i < x.length; i++ ) {
+		logpmf = factory( lambda[ i ] );
+		y = logpmf( x[ i ] );
+		if ( y === expected[ i ] ) {
+			t.equal( y, expected[i], 'x: '+x[ i ]+'. lambda: '+lambda[ i ]+', y: '+y+', expected: '+expected[ i ] );
+		} else {
+			delta = abs( y - expected[ i ] );
+			tol = 2.0 * EPS * abs( expected[ i ] );
+			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. lambda: '+lambda[ i ]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
+		}
+	}
+	t.end();
+});
+
+tape( 'the created function evaluates the logpmf for `x` given large `lambda`', function test( t ) {
+	var expected;
+	var logpmf;
+	var lambda;
+	var delta;
+	var tol;
+	var i;
+	var x;
+	var y;
+
+	expected = largeLambda.expected;
+	x = largeLambda.x;
+	lambda = largeLambda.lambda;
+	for ( i = 0; i < x.length; i++ ) {
+		logpmf = factory( lambda[ i ] );
+		y = logpmf( x[ i ] );
+		if ( y === expected[ i ] ) {
+			t.equal( y, expected[i], 'x: '+x[ i ]+'. lambda: '+lambda[ i ]+', y: '+y+', expected: '+expected[ i ] );
+		} else {
+			delta = abs( y - expected[ i ] );
+			tol = 2.0 * EPS * abs( expected[ i ] );
+			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. lambda: '+lambda[ i ]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
+		}
+	}
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.js
new file mode 100644
index 000000000000..0b7ebf6a2ffe
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.js
@@ -0,0 +1,38 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var logpmf = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof logpmf, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'attached to the main export is a factory method for generating `logpmf` functions', function test( t ) {
+	t.equal( typeof logpmf.factory, 'function', 'exports a factory method' );
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.logpmf.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.logpmf.js
new file mode 100644
index 000000000000..8376fcfc0268
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.logpmf.js
@@ -0,0 +1,140 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var abs = require( '@stdlib/math/base/special/abs' );
+var PINF = require( '@stdlib/constants/float64/pinf' );
+var NINF = require( '@stdlib/constants/float64/ninf' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var logpmf = require( './../lib' );
+
+
+// FIXTURES //
+
+var smallLambda = require( './fixtures/python/small_lambda.json' );
+var largeLambda = require( './fixtures/python/large_lambda.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof logpmf, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'if provided `NaN` for any parameter, the function returns `NaN`', function test( t ) {
+	var y = logpmf( NaN, 1.0 );
+	t.equal( isnan( y ), true, 'returns NaN' );
+	y = logpmf( 0.0, NaN );
+	t.equal( isnan( y ), true, 'returns NaN' );
+	t.end();
+});
+
+tape( 'if provided `+infinity` for `x` and a valid `lambda`, the function returns `-Infinity`', function test( t ) {
+	var y = logpmf( PINF, 0.01 );
+	t.equal( y, NINF, 'returns -Infinity' );
+	t.end();
+});
+
+tape( 'if provided a negative integer for `x` and a valid `lambda`, the function returns `-Infinity`', function test( t ) {
+	var y = logpmf( -20.0, 0.5 );
+	t.equal( y, NINF, 'returns -Infinity' );
+
+	y = logpmf( -4.0, 0.5 );
+	t.equal( y, NINF, 'returns -Infinity' );
+
+	t.end();
+});
+
+tape( 'if provided a non-integer for `x` and a valid `lambda`, the function returns `-Infinity`', function test( t ) {
+	var y = logpmf( -1.3, 0.5 );
+	t.equal( y, NINF, 'returns -Infinity' );
+
+	y = logpmf( 2.4, 0.5 );
+	t.equal( y, NINF, 'returns -Infinity' );
+
+	t.end();
+});
+
+tape( 'if provided a shape parameter `lambda` which is negative, the function always returns `NaN`', function test( t ) {
+	var y;
+
+	y = logpmf( 2.0, -1.0 );
+	t.equal( isnan( y ), true, 'returns NaN' );
+
+	y = logpmf( 0.0, -1.5 );
+	t.equal( isnan( y ), true, 'returns NaN' );
+
+	t.end();
+});
+
+tape( 'the function evaluates the logpmf for `x` given small parameter `lambda`', function test( t ) {
+	var expected;
+	var lambda;
+	var delta;
+	var tol;
+	var x;
+	var y;
+	var i;
+
+	expected = smallLambda.expected;
+	x = smallLambda.x;
+	lambda = smallLambda.lambda;
+	for ( i = 0; i < x.length; i++ ) {
+		y = logpmf( x[ i ], lambda[ i ] );
+		if ( y === expected[ i ] ) {
+			t.equal( y, expected[ i ], 'x: '+x[ i ]+'. lambda:'+lambda[ i ]+', y: '+y+', expected: '+expected[ i ] );
+		} else {
+			delta = abs( y - expected[ i ] );
+			tol = 2.0 * EPS * abs( expected[ i ] );
+			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. lambda: '+lambda[ i ]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
+		}
+	}
+	t.end();
+});
+
+tape( 'the function evaluates the logpmf for `x` given large parameter `lambda`', function test( t ) {
+	var expected;
+	var lambda;
+	var delta;
+	var tol;
+	var x;
+	var y;
+	var i;
+
+	expected = largeLambda.expected;
+	x = largeLambda.x;
+	lambda = largeLambda.lambda;
+	for ( i = 0; i < x.length; i++ ) {
+		y = logpmf( x[ i ], lambda[ i ] );
+		if ( y === expected[ i ] ) {
+			t.equal( y, expected[ i ], 'x: '+x[ i ]+'. lambda:'+lambda[ i ]+', y: '+y+', expected: '+expected[ i ] );
+		} else {
+			delta = abs( y - expected[ i ] );
+			tol = 2.0 * EPS * abs( expected[ i ] );
+			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. lambda: '+lambda[ i ]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
+		}
+	}
+	t.end();
+});

From 2557d85acb2461a4ab4ca1becabf9a3e80b1766a Mon Sep 17 00:00:00 2001
From: Jaysukh-409 <jaysukhmakvana2004@gmail.com>
Date: Wed, 25 Dec 2024 17:52:30 +0530
Subject: [PATCH 2/5] chore: clean-up

---
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: na
  - 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: passed
  - 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
---

---
type: pre_push_report
description: Results of running various checks prior to pushing changes.
report:
  - task: run_javascript_examples
    status: passed
  - task: run_c_examples
    status: na
  - task: run_cpp_examples
    status: na
  - task: run_javascript_readme_examples
    status: passed
  - task: run_c_benchmarks
    status: na
  - task: run_cpp_benchmarks
    status: na
  - task: run_fortran_benchmarks
    status: na
  - task: run_javascript_benchmarks
    status: passed
  - task: run_julia_benchmarks
    status: na
  - task: run_python_benchmarks
    status: na
  - task: run_r_benchmarks
    status: na
  - task: run_javascript_tests
    status: passed
---
---
 .../stats/base/dists/planck/logpmf/README.md  | 21 +++++++--------
 .../planck/logpmf/benchmark/benchmark.js      |  2 +-
 .../base/dists/planck/logpmf/docs/repl.txt    | 14 +++++-----
 .../dists/planck/logpmf/docs/types/index.d.ts |  2 +-
 .../dists/planck/logpmf/examples/index.js     | 18 ++++---------
 .../base/dists/planck/logpmf/lib/factory.js   |  4 +--
 .../base/dists/planck/logpmf/lib/main.js      |  4 +--
 .../logpmf/test/fixtures/python/runner.py     |  2 +-
 .../dists/planck/logpmf/test/test.factory.js  | 26 +++++++++----------
 .../dists/planck/logpmf/test/test.logpmf.js   | 18 ++++++-------
 10 files changed, 50 insertions(+), 61 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/README.md b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/README.md
index 616d684092b6..a5de034fe932 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/README.md
@@ -34,7 +34,7 @@ The [probability mass function][pmf] (PMF) for a Planck random variable is defin
 
 <!-- </equation> -->
 
-where `lambda > 0` is the shape parameter. The random variable `X` denotes the count of events in a quantized system.
+where `λ` is the shape parameter. The random variable `X` denotes the count of events in a quantized system.
 
 </section>
 
@@ -50,7 +50,7 @@ var logpmf = require( '@stdlib/stats/base/dists/planck/logpmf' );
 
 #### logpmf( x, lambda )
 
-Evaluates the logarithm of the [probability mass function][pmf] (PMF) of a Planck distribution with shape parameter `lambda`.
+Evaluates the logarithm of the [probability mass function][pmf] (PMF) of a Planck distribution with shape parameter `λ`.
 
 ```javascript
 var y = logpmf( 4.0, 0.3 );
@@ -73,7 +73,7 @@ y = logpmf( 0.0, NaN );
 // returns NaN
 ```
 
-If provided a shape parameter `lambda` which is negative number, the function returns `NaN`.
+If provided a shape parameter `λ` which is nonpositive number, the function returns `NaN`.
 
 ```javascript
 var y = logpmf( 2.0, -1.0 );
@@ -82,7 +82,7 @@ var y = logpmf( 2.0, -1.0 );
 
 #### logpmf.factory( lambda )
 
-Returns a function for evaluating the logarithm of the [probability mass function][pmf] (PMF) of a Planck distribution with shape parameter `lambda`.
+Returns a function for evaluating the logarithm of the [probability mass function][pmf] (PMF) of a Planck distribution with shape parameter `λ`.
 
 ```javascript
 var mylogpmf = logpmf.factory( 0.5 );
@@ -118,17 +118,14 @@ var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
 var uniform = require( '@stdlib/random/array/uniform' );
 var logpmf = require( '@stdlib/stats/base/dists/planck/logpmf' );
 
-var lambda;
-var x;
+var lambda = uniform( 10, 0.1, 5.0 );
+var x = discreteUniform( 10, 0, 5 );
+
 var y;
 var i;
-
-x = discreteUniform( 10, 0, 5 );
-lambda = uniform( 10, 0.0, 5.0 );
-
-for ( i = 0; i < 10; i++ ) {
+for ( i = 0; i < lambda.length; i++ ) {
     y = logpmf( x[ i ], lambda[ i ] );
-    console.log( 'x: %d, lambda: %d, ln( P( X = x; lambda ) ): %d', x[ i ], lambda[ i ].toFixed( 4 ), y.toFixed( 4 ) );
+    console.log( 'x: %d, λ: %d, ln( P( X = x; λ ) ): %d', x[ i ], lambda[ i ].toFixed( 4 ), y.toFixed( 4 ) );
 }
 ```
 
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/benchmark/benchmark.js
index 0d2c33428b13..b2d161e5cca0 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/benchmark/benchmark.js
@@ -37,7 +37,7 @@ bench( pkg, function benchmark( b ) {
 	var i;
 
 	x = discreteUniform( 100, 0, 40 );
-	lambda = uniform( 100, 0.0, 10.0 );
+	lambda = uniform( 100, 0.1, 10.0 );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/repl.txt
index 508c6d6dbd91..905574350098 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/repl.txt
@@ -1,18 +1,18 @@
 
-{{alias}}( x, lambda )
+{{alias}}( x, λ )
     Evaluates the logarithm of the probability mass function (PMF) for a
-    Planck distribution with shape parameter `lambda` at a value `x`.
+    Planck distribution with shape parameter `λ` at a value `x`.
 
     If provided `NaN` as any argument, the function returns `NaN`.
 
-    If `lambda < 0`, the function returns `NaN`.
+    If `λ <= 0`, the function returns `NaN`.
 
     Parameters
     ----------
     x: number
         Input value.
 
-    lambda: number
+    λ: number
         Shape parameter.
 
     Returns
@@ -37,13 +37,13 @@
     NaN
 
 
-{{alias}}.factory( lambda )
+{{alias}}.factory( λ )
     Returns a function for evaluating the logarithm of the probability mass
-    function (PMF) of a Planck distribution with shape parameter `lambda`.
+    function (PMF) of a Planck distribution with shape parameter `λ`.
 
     Parameters
     ----------
-    lambda: number
+    λ: number
         Shape parameter.
 
     Returns
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/types/index.d.ts
index f092565169b2..b8e81981ac43 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/types/index.d.ts
@@ -35,7 +35,7 @@ interface LogPMF {
 	*
 	* ## Notes
 	*
-	* -   If `lambda < 0`, the function returns `NaN`.
+	* -   If `lambda <= 0`, the function returns `NaN`.
 	*
 	* @param x - input value
 	* @param lambda - shape parameter
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/examples/index.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/examples/index.js
index b95b9aa5e787..caae57cbe996 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/examples/index.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/examples/index.js
@@ -22,20 +22,12 @@ var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
 var uniform = require( '@stdlib/random/array/uniform' );
 var logpmf = require( './../lib' );
 
-var lambda;
-var x;
+var lambda = uniform( 10, 0.1, 5.0 );
+var x = discreteUniform( 10, 0, 5 );
+
 var y;
 var i;
-
-x = discreteUniform( 10, 0, 5 );
-lambda = uniform( 10, 0.0, 5.0 );
-
-for ( i = 0; i < 10; i++ ) {
+for ( i = 0; i < lambda.length; i++ ) {
 	y = logpmf( x[ i ], lambda[ i ] );
-	console.log( 'x: %d, lambda: %d, ln( P( X = x; lambda ) ): %d', x[ i ], lambda[ i ].toFixed( 4 ), y.toFixed( 4 ) );
+	console.log( 'x: %d, λ: %d, ln( P( X = x; λ ) ): %d', x[ i ], lambda[ i ].toFixed( 4 ), y.toFixed( 4 ) );
 }
-
-console.log( logpmf(4.0, 0.3) );
-console.log( logpmf(2.0, 1.7) );
-console.log( logpmf(3.0, 0.5) );
-console.log( logpmf(1.0, 0.5) );
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/factory.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/factory.js
index c5ae979a4dc9..e215504fa8f1 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/factory.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/factory.js
@@ -33,7 +33,7 @@ var NINF = require( '@stdlib/constants/float64/ninf' );
 /**
 * Returns a function for evaluating the logarithm of the probability mass function (PMF) for a Planck distribution with shape parameter `lambda`.
 *
-* @param {NonNegativeNumber} lambda - shape parameter
+* @param {PositiveNumber} lambda - shape parameter
 * @returns {Function} logPMF
 *
 * @example
@@ -45,7 +45,7 @@ var NINF = require( '@stdlib/constants/float64/ninf' );
 * // returns ~-1.4328
 */
 function factory( lambda ) {
-	if ( isnan( lambda ) || lambda < 0.0 ) {
+	if ( isnan( lambda ) || lambda <= 0.0 ) {
 		return constantFunction( NaN );
 	}
 	return logpmf;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/main.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/main.js
index ac110102cbce..d278a5dea538 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/main.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/main.js
@@ -33,7 +33,7 @@ var NINF = require( '@stdlib/constants/float64/ninf' );
 * Evaluates the logarithm of the probability mass function (PMF) for a Planck distribution with shape parameter `lambda` at a value `x`.
 *
 * @param {number} x - input value
-* @param {NonNegativeNumber} lambda - shape parameter
+* @param {PositiveNumber} lambda - shape parameter
 * @returns {NonPositiveNumber} logarithm of PMF
 *
 * @example
@@ -62,7 +62,7 @@ var NINF = require( '@stdlib/constants/float64/ninf' );
 * // returns NaN
 */
 function logpmf( x, lambda ) {
-	if ( isnan( x ) || isnan( lambda ) || lambda < 0.0 ) {
+	if ( isnan( x ) || isnan( lambda ) || lambda <= 0.0 ) {
 		return NaN;
 	}
 	if ( isNonNegativeInteger( x ) ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/fixtures/python/runner.py b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/fixtures/python/runner.py
index c2e03300d034..616300c199bf 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/fixtures/python/runner.py
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/fixtures/python/runner.py
@@ -65,7 +65,7 @@ def gen(x, lam, name):
     with open(filepath, "w", encoding='utf-8') as outfile:
         json.dump(data, outfile)
 
-    # Include trailing newline
+    # Include trailing newline:
     with open(filepath, "a", encoding='utf-8') as outfile:
         outfile.write("\n")
 
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.factory.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.factory.js
index 9253795ea9f8..f7384708cb50 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.factory.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.factory.js
@@ -55,11 +55,11 @@ tape( 'if provided `NaN` for any parameter, the created function returns `NaN`',
 
 	logpmf = factory( 0.5 );
 	y = logpmf( NaN );
-	t.equal( isnan( y ), true, 'returns NaN' );
+	t.equal( isnan( y ), true, 'returns expected value' );
 
 	logpmf = factory( NaN );
 	y = logpmf( 0.0 );
-	t.equal( isnan( y ), true, 'returns NaN' );
+	t.equal( isnan( y ), true, 'returns expected value' );
 
 	t.end();
 });
@@ -70,7 +70,7 @@ tape( 'if provided a finite `lambda`, the function returns a function which retu
 
 	logpmf = factory( 1.0 );
 	y = logpmf( PINF );
-	t.equal( y, NINF, 'returns -Infinity' );
+	t.equal( y, NINF, 'returns expected value' );
 
 	t.end();
 });
@@ -81,10 +81,10 @@ tape( 'if provided a finite `lambda`, the function returns a function which retu
 
 	logpmf = factory( 0.4 );
 	y = logpmf( -4.0 );
-	t.equal( y, NINF, 'returns -Infinity' );
+	t.equal( y, NINF, 'returns expected value' );
 
 	y = logpmf( -1.0 );
-	t.equal( y, NINF, 'returns -Infinity' );
+	t.equal( y, NINF, 'returns expected value' );
 
 	t.end();
 });
@@ -95,34 +95,34 @@ tape( 'if provided a finite `lambda`, the function returns a function which retu
 
 	logpmf = factory( 0.4 );
 	y = logpmf( 1.3 );
-	t.equal( y, NINF, 'returns -Infinity' );
+	t.equal( y, NINF, 'returns expected value' );
 
 	y = logpmf( 1.4 );
-	t.equal( y, NINF, 'returns -Infinity' );
+	t.equal( y, NINF, 'returns expected value' );
 
 	y = logpmf( 3.2 );
-	t.equal( y, NINF, 'returns -Infinity' );
+	t.equal( y, NINF, 'returns expected value' );
 
 	y = logpmf( 4.8 );
-	t.equal( y, NINF, 'returns -Infinity' );
+	t.equal( y, NINF, 'returns expected value' );
 
 	y = logpmf( -1.2 );
-	t.equal( y, NINF, 'returns -Infinity' );
+	t.equal( y, NINF, 'returns expected value' );
 
 	t.end();
 });
 
-tape( 'if provided a `lambda` which is negative, the created function always returns `NaN`', function test( t ) {
+tape( 'if provided a `lambda` which is nonpositive, the created function always returns `NaN`', function test( t ) {
 	var logpmf;
 	var y;
 
 	logpmf = factory( -1.5 );
 
 	y = logpmf( 2.0 );
-	t.equal( isnan( y ), true, 'returns NaN' );
+	t.equal( isnan( y ), true, 'returns expected value' );
 
 	y = logpmf( 0.0 );
-	t.equal( isnan( y ), true, 'returns NaN' );
+	t.equal( isnan( y ), true, 'returns expected value' );
 
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.logpmf.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.logpmf.js
index 8376fcfc0268..6cb9612a43bf 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.logpmf.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.logpmf.js
@@ -45,9 +45,9 @@ tape( 'main export is a function', function test( t ) {
 
 tape( 'if provided `NaN` for any parameter, the function returns `NaN`', function test( t ) {
 	var y = logpmf( NaN, 1.0 );
-	t.equal( isnan( y ), true, 'returns NaN' );
+	t.equal( isnan( y ), true, 'returns expected value' );
 	y = logpmf( 0.0, NaN );
-	t.equal( isnan( y ), true, 'returns NaN' );
+	t.equal( isnan( y ), true, 'returns expected value' );
 	t.end();
 });
 
@@ -59,32 +59,32 @@ tape( 'if provided `+infinity` for `x` and a valid `lambda`, the function return
 
 tape( 'if provided a negative integer for `x` and a valid `lambda`, the function returns `-Infinity`', function test( t ) {
 	var y = logpmf( -20.0, 0.5 );
-	t.equal( y, NINF, 'returns -Infinity' );
+	t.equal( y, NINF, 'returns expected value' );
 
 	y = logpmf( -4.0, 0.5 );
-	t.equal( y, NINF, 'returns -Infinity' );
+	t.equal( y, NINF, 'returns expected value' );
 
 	t.end();
 });
 
 tape( 'if provided a non-integer for `x` and a valid `lambda`, the function returns `-Infinity`', function test( t ) {
 	var y = logpmf( -1.3, 0.5 );
-	t.equal( y, NINF, 'returns -Infinity' );
+	t.equal( y, NINF, 'returns expected value' );
 
 	y = logpmf( 2.4, 0.5 );
-	t.equal( y, NINF, 'returns -Infinity' );
+	t.equal( y, NINF, 'returns expected value' );
 
 	t.end();
 });
 
-tape( 'if provided a shape parameter `lambda` which is negative, the function always returns `NaN`', function test( t ) {
+tape( 'if provided a shape parameter `lambda` which is nonpositive, the function always returns `NaN`', function test( t ) {
 	var y;
 
 	y = logpmf( 2.0, -1.0 );
-	t.equal( isnan( y ), true, 'returns NaN' );
+	t.equal( isnan( y ), true, 'returns expected value' );
 
 	y = logpmf( 0.0, -1.5 );
-	t.equal( isnan( y ), true, 'returns NaN' );
+	t.equal( isnan( y ), true, 'returns expected value' );
 
 	t.end();
 });

From 99853a2e36d0f9f41a00af92c602da4c92095a72 Mon Sep 17 00:00:00 2001
From: Jaysukh-409 <jaysukhmakvana2004@gmail.com>
Date: Sat, 28 Dec 2024 21:54:57 +0530
Subject: [PATCH 3/5] chore: clean-up

---
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: na
  - task: lint_javascript_src
    status: na
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: passed
  - task: lint_javascript_tests
    status: passed
  - task: lint_javascript_benchmarks
    status: na
  - task: lint_python
    status: passed
  - 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: na
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---

---
type: pre_push_report
description: Results of running various checks prior to pushing changes.
report:
  - task: run_javascript_examples
    status: passed
  - task: run_c_examples
    status: na
  - task: run_cpp_examples
    status: na
  - task: run_javascript_readme_examples
    status: passed
  - task: run_c_benchmarks
    status: na
  - task: run_cpp_benchmarks
    status: na
  - task: run_fortran_benchmarks
    status: na
  - task: run_javascript_benchmarks
    status: na
  - task: run_julia_benchmarks
    status: na
  - task: run_python_benchmarks
    status: na
  - task: run_r_benchmarks
    status: na
  - task: run_javascript_tests
    status: passed
---
---
 .../@stdlib/stats/base/dists/planck/logpmf/README.md | 12 ++++++------
 .../stats/base/dists/planck/logpmf/examples/index.js |  2 +-
 .../stats/base/dists/planck/logpmf/package.json      |  2 +-
 .../planck/logpmf/test/fixtures/python/runner.py     |  2 +-
 .../base/dists/planck/logpmf/test/test.factory.js    | 12 ++++++++++--
 .../base/dists/planck/logpmf/test/test.logpmf.js     |  6 +++---
 6 files changed, 22 insertions(+), 14 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/README.md b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/README.md
index a5de034fe932..c05895dba0f7 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/README.md
@@ -20,7 +20,7 @@ limitations under the License.
 
 # Logarithm of Probability Mass Function
 
-> Planck distribution logarithm of [probability mass function][pmf] (PMF).
+> Planck (discrete exponential) distribution logarithm of [probability mass function][pmf] (PMF).
 
 <section class="intro">
 
@@ -34,7 +34,7 @@ The [probability mass function][pmf] (PMF) for a Planck random variable is defin
 
 <!-- </equation> -->
 
-where `λ` is the shape parameter. The random variable `X` denotes the count of events in a quantized system.
+where `λ` is the shape parameter and `x` denotes the count of events in a quantized system.
 
 </section>
 
@@ -50,7 +50,7 @@ var logpmf = require( '@stdlib/stats/base/dists/planck/logpmf' );
 
 #### logpmf( x, lambda )
 
-Evaluates the logarithm of the [probability mass function][pmf] (PMF) of a Planck distribution with shape parameter `λ`.
+Evaluates the logarithm of the [probability mass function][pmf] (PMF) of a Planck (discrete exponential) distribution with shape parameter `lambda`.
 
 ```javascript
 var y = logpmf( 4.0, 0.3 );
@@ -73,7 +73,7 @@ y = logpmf( 0.0, NaN );
 // returns NaN
 ```
 
-If provided a shape parameter `λ` which is nonpositive number, the function returns `NaN`.
+If provided a shape parameter `lambda` which is nonpositive number, the function returns `NaN`.
 
 ```javascript
 var y = logpmf( 2.0, -1.0 );
@@ -82,7 +82,7 @@ var y = logpmf( 2.0, -1.0 );
 
 #### logpmf.factory( lambda )
 
-Returns a function for evaluating the logarithm of the [probability mass function][pmf] (PMF) of a Planck distribution with shape parameter `λ`.
+Returns a function for evaluating the logarithm of the [probability mass function][pmf] (PMF) of a Planck (discrete exponential) distribution with shape parameter `lambda`.
 
 ```javascript
 var mylogpmf = logpmf.factory( 0.5 );
@@ -118,8 +118,8 @@ var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
 var uniform = require( '@stdlib/random/array/uniform' );
 var logpmf = require( '@stdlib/stats/base/dists/planck/logpmf' );
 
-var lambda = uniform( 10, 0.1, 5.0 );
 var x = discreteUniform( 10, 0, 5 );
+var lambda = uniform( 10, 0.1, 5.0 );
 
 var y;
 var i;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/examples/index.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/examples/index.js
index caae57cbe996..55ce046775f6 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/examples/index.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/examples/index.js
@@ -22,8 +22,8 @@ var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
 var uniform = require( '@stdlib/random/array/uniform' );
 var logpmf = require( './../lib' );
 
-var lambda = uniform( 10, 0.1, 5.0 );
 var x = discreteUniform( 10, 0, 5 );
+var lambda = uniform( 10, 0.1, 5.0 );
 
 var y;
 var i;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/package.json b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/package.json
index 5403559719e0..7de8fef1251d 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/package.json
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/package.json
@@ -1,7 +1,7 @@
 {
   "name": "@stdlib/stats/base/dists/planck/logpmf",
   "version": "0.0.0",
-  "description": "Planck distribution logarithm of probability mass function (PMF).",
+  "description": "Planck (discrete exponential) distribution logarithm of probability mass function (PMF).",
   "license": "Apache-2.0",
   "author": {
     "name": "The Stdlib Authors",
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/fixtures/python/runner.py b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/fixtures/python/runner.py
index 616300c199bf..fde4c274eae4 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/fixtures/python/runner.py
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/fixtures/python/runner.py
@@ -74,7 +74,7 @@ def main():
     """Generate fixture data."""
     # Large shape paramter:
     x = np.round(np.random.rand(1000) * 10.0)
-    lam = (np.random.rand(1000) * 10) + 10
+    lam = (np.random.rand(1000) * 10.0) + 10.0
     gen(x, lam, "large_lambda.json")
 
     # Small shape parameter:
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.factory.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.factory.js
index f7384708cb50..fc1999fa1f00 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.factory.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.factory.js
@@ -116,6 +116,14 @@ tape( 'if provided a `lambda` which is nonpositive, the created function always
 	var logpmf;
 	var y;
 
+	logpmf = factory( 0.0 );
+
+	y = logpmf( 2.0 );
+	t.equal( isnan( y ), true, 'returns expected value' );
+
+	y = logpmf( 0.0 );
+	t.equal( isnan( y ), true, 'returns expected value' );
+
 	logpmf = factory( -1.5 );
 
 	y = logpmf( 2.0 );
@@ -147,7 +155,7 @@ tape( 'the created function evaluates the logpmf for `x` given small `lambda`',
 			t.equal( y, expected[i], 'x: '+x[ i ]+'. lambda: '+lambda[ i ]+', y: '+y+', expected: '+expected[ i ] );
 		} else {
 			delta = abs( y - expected[ i ] );
-			tol = 2.0 * EPS * abs( expected[ i ] );
+			tol = 1.0 * EPS * abs( expected[ i ] );
 			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. lambda: '+lambda[ i ]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
 		}
 	}
@@ -174,7 +182,7 @@ tape( 'the created function evaluates the logpmf for `x` given large `lambda`',
 			t.equal( y, expected[i], 'x: '+x[ i ]+'. lambda: '+lambda[ i ]+', y: '+y+', expected: '+expected[ i ] );
 		} else {
 			delta = abs( y - expected[ i ] );
-			tol = 2.0 * EPS * abs( expected[ i ] );
+			tol = 1.0 * EPS * abs( expected[ i ] );
 			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. lambda: '+lambda[ i ]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
 		}
 	}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.logpmf.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.logpmf.js
index 6cb9612a43bf..6fba5b92bb76 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.logpmf.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.logpmf.js
@@ -80,7 +80,7 @@ tape( 'if provided a non-integer for `x` and a valid `lambda`, the function retu
 tape( 'if provided a shape parameter `lambda` which is nonpositive, the function always returns `NaN`', function test( t ) {
 	var y;
 
-	y = logpmf( 2.0, -1.0 );
+	y = logpmf( 2.0, 0.0 );
 	t.equal( isnan( y ), true, 'returns expected value' );
 
 	y = logpmf( 0.0, -1.5 );
@@ -107,7 +107,7 @@ tape( 'the function evaluates the logpmf for `x` given small parameter `lambda`'
 			t.equal( y, expected[ i ], 'x: '+x[ i ]+'. lambda:'+lambda[ i ]+', y: '+y+', expected: '+expected[ i ] );
 		} else {
 			delta = abs( y - expected[ i ] );
-			tol = 2.0 * EPS * abs( expected[ i ] );
+			tol = 1.0 * EPS * abs( expected[ i ] );
 			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. lambda: '+lambda[ i ]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
 		}
 	}
@@ -132,7 +132,7 @@ tape( 'the function evaluates the logpmf for `x` given large parameter `lambda`'
 			t.equal( y, expected[ i ], 'x: '+x[ i ]+'. lambda:'+lambda[ i ]+', y: '+y+', expected: '+expected[ i ] );
 		} else {
 			delta = abs( y - expected[ i ] );
-			tol = 2.0 * EPS * abs( expected[ i ] );
+			tol = 1.0 * EPS * abs( expected[ i ] );
 			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. lambda: '+lambda[ i ]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
 		}
 	}

From 5a34c1c735cd6daea99a77d777bd903cb8b46333 Mon Sep 17 00:00:00 2001
From: stdlib-bot <82920195+stdlib-bot@users.noreply.github.com>
Date: Thu, 2 Jan 2025 06:55:55 +0000
Subject: [PATCH 4/5] chore: update copyright years

---
 .../@stdlib/stats/base/dists/planck/logpmf/README.md            | 2 +-
 .../stats/base/dists/planck/logpmf/benchmark/benchmark.js       | 2 +-
 .../stats/base/dists/planck/logpmf/docs/types/index.d.ts        | 2 +-
 .../@stdlib/stats/base/dists/planck/logpmf/docs/types/test.ts   | 2 +-
 .../@stdlib/stats/base/dists/planck/logpmf/examples/index.js    | 2 +-
 .../@stdlib/stats/base/dists/planck/logpmf/lib/factory.js       | 2 +-
 .../@stdlib/stats/base/dists/planck/logpmf/lib/index.js         | 2 +-
 .../@stdlib/stats/base/dists/planck/logpmf/lib/main.js          | 2 +-
 .../base/dists/planck/logpmf/test/fixtures/python/runner.py     | 2 +-
 .../@stdlib/stats/base/dists/planck/logpmf/test/test.factory.js | 2 +-
 .../@stdlib/stats/base/dists/planck/logpmf/test/test.js         | 2 +-
 .../@stdlib/stats/base/dists/planck/logpmf/test/test.logpmf.js  | 2 +-
 12 files changed, 12 insertions(+), 12 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/README.md b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/README.md
index c05895dba0f7..6ddc43f5ef11 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/README.md
@@ -2,7 +2,7 @@
 
 @license Apache-2.0
 
-Copyright (c) 2024 The Stdlib Authors.
+Copyright (c) 2025 The Stdlib Authors.
 
 Licensed under the Apache License, Version 2.0 (the "License");
 you may not use this file except in compliance with the License.
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/benchmark/benchmark.js
index b2d161e5cca0..2d48249bfa8f 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/benchmark/benchmark.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2024 The Stdlib Authors.
+* Copyright (c) 2025 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/types/index.d.ts
index b8e81981ac43..eb176c4abb50 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/types/index.d.ts
@@ -1,7 +1,7 @@
 /*
 * @license Apache-2.0
 *
-* Copyright (c) 2024 The Stdlib Authors.
+* Copyright (c) 2025 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/types/test.ts
index 7052a140ebc7..81f242369484 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/types/test.ts
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/types/test.ts
@@ -1,7 +1,7 @@
 /*
 * @license Apache-2.0
 *
-* Copyright (c) 2024 The Stdlib Authors.
+* Copyright (c) 2025 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/examples/index.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/examples/index.js
index 55ce046775f6..5f47a89e33a2 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/examples/index.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/examples/index.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2024 The Stdlib Authors.
+* Copyright (c) 2025 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/factory.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/factory.js
index e215504fa8f1..9a02a76317c8 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/factory.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/factory.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2024 The Stdlib Authors.
+* Copyright (c) 2025 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/index.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/index.js
index 3f602ad63d6e..79cd172ad66b 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/index.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/index.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2024 The Stdlib Authors.
+* Copyright (c) 2025 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/main.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/main.js
index d278a5dea538..be92ba4b2b82 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/main.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/main.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2024 The Stdlib Authors.
+* Copyright (c) 2025 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/fixtures/python/runner.py b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/fixtures/python/runner.py
index fde4c274eae4..ef5e8160f45f 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/fixtures/python/runner.py
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/fixtures/python/runner.py
@@ -2,7 +2,7 @@
 #
 # @license Apache-2.0
 #
-# Copyright (c) 2024 The Stdlib Authors.
+# Copyright (c) 2025 The Stdlib Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.factory.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.factory.js
index fc1999fa1f00..f7c4851c79db 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.factory.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.factory.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2024 The Stdlib Authors.
+* Copyright (c) 2025 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.js
index 0b7ebf6a2ffe..5d2d6e2f6a68 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2024 The Stdlib Authors.
+* Copyright (c) 2025 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.logpmf.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.logpmf.js
index 6fba5b92bb76..42721405ea14 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.logpmf.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.logpmf.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2024 The Stdlib Authors.
+* Copyright (c) 2025 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.

From 3745a55a92b29bab17b9963a7a7f0dcfe5695e41 Mon Sep 17 00:00:00 2001
From: Athan Reines <kgryte@gmail.com>
Date: Thu, 2 Jan 2025 00:28:03 -0800
Subject: [PATCH 5/5] chore: clean-up

---
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: na
  - task: lint_javascript_tests
    status: passed
  - task: lint_javascript_benchmarks
    status: na
  - task: lint_python
    status: missing_dependencies
  - 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
---

---
type: pre_push_report
description: Results of running various checks prior to pushing changes.
report:
  - task: run_javascript_examples
    status: na
  - task: run_c_examples
    status: na
  - task: run_cpp_examples
    status: na
  - task: run_javascript_readme_examples
    status: na
  - task: run_c_benchmarks
    status: na
  - task: run_cpp_benchmarks
    status: na
  - task: run_fortran_benchmarks
    status: na
  - task: run_javascript_benchmarks
    status: na
  - task: run_julia_benchmarks
    status: na
  - task: run_python_benchmarks
    status: na
  - task: run_r_benchmarks
    status: na
  - task: run_javascript_tests
    status: na
---
---
 .../stats/base/dists/planck/logpmf/README.md  |  2 +-
 .../base/dists/planck/logpmf/docs/repl.txt    |  6 ++--
 .../dists/planck/logpmf/docs/types/index.d.ts |  2 +-
 .../dists/planck/logpmf/docs/types/test.ts    | 30 +++++++++----------
 .../base/dists/planck/logpmf/lib/index.js     |  2 +-
 .../base/dists/planck/logpmf/package.json     |  2 +-
 .../logpmf/test/fixtures/python/runner.py     |  4 +--
 .../dists/planck/logpmf/test/test.factory.js  |  8 ++---
 8 files changed, 28 insertions(+), 28 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/README.md b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/README.md
index 6ddc43f5ef11..bd177c1db4d7 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/README.md
@@ -20,7 +20,7 @@ limitations under the License.
 
 # Logarithm of Probability Mass Function
 
-> Planck (discrete exponential) distribution logarithm of [probability mass function][pmf] (PMF).
+> Evaluate the logarithm of the [probability mass function][pmf] (PMF) for a Planck (discrete exponential) distribution.
 
 <section class="intro">
 
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/repl.txt
index 905574350098..1ae67dfc813e 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/repl.txt
@@ -1,7 +1,7 @@
 
 {{alias}}( x, λ )
-    Evaluates the logarithm of the probability mass function (PMF) for a
-    Planck distribution with shape parameter `λ` at a value `x`.
+    Evaluates the logarithm of the probability mass function (PMF) for a Planck
+    distribution with shape parameter `λ` at a value `x`.
 
     If provided `NaN` as any argument, the function returns `NaN`.
 
@@ -49,7 +49,7 @@
     Returns
     -------
     logpmf: Function
-        Logarithm of probability mass function (PMF).
+        Logarithm of the probability mass function (PMF).
 
     Examples
     --------
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/types/index.d.ts
index eb176c4abb50..387dba3e316d 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/types/index.d.ts
@@ -86,7 +86,7 @@ interface LogPMF {
 }
 
 /**
-* Planck distribution natural logarithm of probability mass function (PMF).
+* Evaluates the natural logarithm of the probability mass function (PMF) for a Planck distribution.
 *
 * @param x - input value
 * @param lambda - shape parameter
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/types/test.ts
index 81f242369484..344fadf696c9 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/types/test.ts
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/docs/types/test.ts
@@ -23,8 +23,8 @@ import logpmf = require( './index' );
 
 // The function returns a number...
 {
-	logpmf( 2, 0.4 ); // $ExpectType number
-	logpmf( 1, 0.2 ); // $ExpectType number
+	logpmf( 2.0, 0.4 ); // $ExpectType number
+	logpmf( 1.0, 0.2 ); // $ExpectType number
 }
 
 // The compiler throws an error if the function is provided values other than two numbers...
@@ -36,19 +36,19 @@ import logpmf = require( './index' );
 	logpmf( {}, 0.4 ); // $ExpectError
 	logpmf( ( x: number ): number => x, 0.2 ); // $ExpectError
 
-	logpmf( 0, true ); // $ExpectError
-	logpmf( 1, false ); // $ExpectError
-	logpmf( 0, '5' ); // $ExpectError
-	logpmf( 1, [] ); // $ExpectError
-	logpmf( 2, {} ); // $ExpectError
-	logpmf( 3, ( x: number ): number => x ); // $ExpectError
+	logpmf( 0.0, true ); // $ExpectError
+	logpmf( 1.0, false ); // $ExpectError
+	logpmf( 0.0, '5' ); // $ExpectError
+	logpmf( 1.0, [] ); // $ExpectError
+	logpmf( 2.0, {} ); // $ExpectError
+	logpmf( 3.0, ( x: number ): number => x ); // $ExpectError
 }
 
 // The compiler throws an error if the function is provided an unsupported number of arguments...
 {
 	logpmf(); // $ExpectError
-	logpmf( 0 ); // $ExpectError
-	logpmf( 1, 0.3, 4 ); // $ExpectError
+	logpmf( 0.0 ); // $ExpectError
+	logpmf( 1.0, 0.3, 4.0 ); // $ExpectError
 }
 
 // Attached to main export is a `factory` method which returns a function...
@@ -59,7 +59,7 @@ import logpmf = require( './index' );
 // The `factory` method returns a function which returns a number...
 {
 	const fcn = logpmf.factory( 0.4 );
-	fcn( 2 ); // $ExpectType number
+	fcn( 2.0 ); // $ExpectType number
 }
 
 // The compiler throws an error if the function returned by the `factory` method is provided an invalid argument...
@@ -77,8 +77,8 @@ import logpmf = require( './index' );
 {
 	const fcn = logpmf.factory( 0.4 );
 	fcn(); // $ExpectError
-	fcn( 2, 0 ); // $ExpectError
-	fcn( 2, 0, 1 ); // $ExpectError
+	fcn( 2.0, 0.0 ); // $ExpectError
+	fcn( 2.0, 0.0, 1.0 ); // $ExpectError
 }
 
 // The compiler throws an error if the `factory` method is provided a value other than a number...
@@ -93,6 +93,6 @@ import logpmf = require( './index' );
 
 // The compiler throws an error if the `factory` method is provided an unsupported number of arguments...
 {
-	logpmf.factory( 0, 0.2 ); // $ExpectError
-	logpmf.factory( 0, 0.4, 8 ); // $ExpectError
+	logpmf.factory( 0.0, 0.2 ); // $ExpectError
+	logpmf.factory( 0.0, 0.4, 8.0 ); // $ExpectError
 }
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/index.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/index.js
index 79cd172ad66b..1084bd9a8c43 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/index.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/lib/index.js
@@ -19,7 +19,7 @@
 'use strict';
 
 /**
-* Planck distribution logarithm of probability mass function (PMF).
+* Evaluate the logarithm of the probability mass function (PMF) for a Planck distribution.
 *
 * @module @stdlib/stats/base/dists/planck/logpmf
 *
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/package.json b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/package.json
index 7de8fef1251d..e13245ee25e9 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/package.json
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/package.json
@@ -1,7 +1,7 @@
 {
   "name": "@stdlib/stats/base/dists/planck/logpmf",
   "version": "0.0.0",
-  "description": "Planck (discrete exponential) distribution logarithm of probability mass function (PMF).",
+  "description": "Evaluate the logarithm of the probability mass function (PMF) for a Planck (discrete exponential) distribution.",
   "license": "Apache-2.0",
   "author": {
     "name": "The Stdlib Authors",
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/fixtures/python/runner.py b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/fixtures/python/runner.py
index ef5e8160f45f..1ccc2449f54e 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/fixtures/python/runner.py
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/fixtures/python/runner.py
@@ -43,7 +43,7 @@ def gen(x, lam, name):
     # Examples
 
     ```python
-    python> x = np.random.rand(1000) * 10
+    python> x = np.random.rand(1000) * 10.0
     python> lam = np.random.rand(1000)
     python> gen(x, lam, "data.json")
     ```
@@ -72,7 +72,7 @@ def gen(x, lam, name):
 
 def main():
     """Generate fixture data."""
-    # Large shape paramter:
+    # Large shape parameter:
     x = np.round(np.random.rand(1000) * 10.0)
     lam = (np.random.rand(1000) * 10.0) + 10.0
     gen(x, lam, "large_lambda.json")
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.factory.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.factory.js
index f7c4851c79db..c697773630ab 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.factory.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logpmf/test/test.factory.js
@@ -49,7 +49,7 @@ tape( 'the function returns a function', function test( t ) {
 	t.end();
 });
 
-tape( 'if provided `NaN` for any parameter, the created function returns `NaN`', function test( t ) {
+tape( 'if provided `NaN` for any parameter, the returned function returns `NaN`', function test( t ) {
 	var logpmf;
 	var y;
 
@@ -112,7 +112,7 @@ tape( 'if provided a finite `lambda`, the function returns a function which retu
 	t.end();
 });
 
-tape( 'if provided a `lambda` which is nonpositive, the created function always returns `NaN`', function test( t ) {
+tape( 'if provided a `lambda` which is nonpositive, the returned function always returns `NaN`', function test( t ) {
 	var logpmf;
 	var y;
 
@@ -135,7 +135,7 @@ tape( 'if provided a `lambda` which is nonpositive, the created function always
 	t.end();
 });
 
-tape( 'the created function evaluates the logpmf for `x` given small `lambda`', function test( t ) {
+tape( 'the returned function evaluates the logpmf for `x` given small `lambda`', function test( t ) {
 	var expected;
 	var logpmf;
 	var lambda;
@@ -162,7 +162,7 @@ tape( 'the created function evaluates the logpmf for `x` given small `lambda`',
 	t.end();
 });
 
-tape( 'the created function evaluates the logpmf for `x` given large `lambda`', function test( t ) {
+tape( 'the returned function evaluates the logpmf for `x` given large `lambda`', function test( t ) {
 	var expected;
 	var logpmf;
 	var lambda;