From 37a1e1cb2aaadfe5bb111f631935d40788edd8c9 Mon Sep 17 00:00:00 2001
From: stdlib-bot <82920195+stdlib-bot@users.noreply.github.com>
Date: Tue, 13 Jan 2026 02:48:16 +0000
Subject: [PATCH] feat: update `random` TypeScript declarations

Signed-off-by: stdlib-bot <82920195+stdlib-bot@users.noreply.github.com>
---
 .../@stdlib/random/docs/types/index.d.ts      | 108 ++++++++++++++++++
 1 file changed, 108 insertions(+)

diff --git a/lib/node_modules/@stdlib/random/docs/types/index.d.ts b/lib/node_modules/@stdlib/random/docs/types/index.d.ts
index 32a618de910e..a029d5421c4d 100644
--- a/lib/node_modules/@stdlib/random/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/random/docs/types/index.d.ts
@@ -35,9 +35,11 @@ import discreteUniform = require( '@stdlib/random/discrete-uniform' );
 import erlang = require( '@stdlib/random/erlang' );
 import exponential = require( '@stdlib/random/exponential' );
 import f = require( '@stdlib/random/f' );
+import frechet = require( '@stdlib/random/frechet' );
 import gamma = require( '@stdlib/random/gamma' );
 import geometric = require( '@stdlib/random/geometric' );
 import gumbel = require( '@stdlib/random/gumbel' );
+import hypergeometric = require( '@stdlib/random/hypergeometric' );
 import invgamma = require( '@stdlib/random/invgamma' );
 import iterators = require( '@stdlib/random/iter' );
 import kumaraswamy = require( '@stdlib/random/kumaraswamy' );
@@ -56,6 +58,7 @@ import streams = require( '@stdlib/random/streams' );
 import strided = require( '@stdlib/random/strided' );
 import t = require( '@stdlib/random/t' );
 import tools = require( '@stdlib/random/tools' );
+import triangular = require( '@stdlib/random/triangular' );
 import uniform = require( '@stdlib/random/uniform' );
 import weibull = require( '@stdlib/random/weibull' );
 
@@ -511,6 +514,41 @@ interface Namespace {
 	*/
 	f: typeof f;
 
+	/**
+	* Generates pseudorandom numbers drawn from a Fréchet distribution.
+	*
+	* @param shape - output shape
+	* @param alpha - shape parameter
+	* @param s - scale parameter
+	* @param m - location parameter
+	* @param options - function options
+	* @throws distribution parameters and the output shape must be broadcast compatible
+	* @returns output ndarray
+	*
+	* @example
+	* var out = ns.frechet( [ 3, 3 ], 2.0, 5.0, 3.0 );
+	* // returns <ndarray>
+	*
+	* @example
+	* var zeros = require( '@stdlib/ndarray/zeros' );
+	*
+	* var out = zeros( [ 3, 3 ] );
+	* // returns <ndarray>
+	*
+	* var v = ns.frechet.assign( 2.0, 5.0, 3.0, out );
+	* // returns <ndarray>
+	*
+	* var bool = ( v === out );
+	* // returns true
+	*
+	* @example
+	* var random = ns.frechet.factory();
+	*
+	* var out = random( [ 3, 3 ], 2.0, 5.0, 3.0 );
+	* // returns <ndarray>
+	*/
+	frechet: typeof frechet;
+
 	/**
 	* Generates pseudorandom numbers drawn from a gamma distribution.
 	*
@@ -612,6 +650,41 @@ interface Namespace {
 	*/
 	gumbel: typeof gumbel;
 
+	/**
+	* Generates pseudorandom numbers drawn from a hypergeometric distribution.
+	*
+	* @param shape - output shape
+	* @param N - population size
+	* @param K - subpopulation size
+	* @param n - number of draws
+	* @param options - function options
+	* @throws distribution parameters and the output shape must be broadcast compatible
+	* @returns output ndarray
+	*
+	* @example
+	* var out = ns.hypergeometric( [ 3, 3 ], 20, 10, 7 );
+	* // returns <ndarray>
+	*
+	* @example
+	* var zeros = require( '@stdlib/ndarray/zeros' );
+	*
+	* var out = zeros( [ 3, 3 ] );
+	* // returns <ndarray>
+	*
+	* var v = ns.hypergeometric.assign( 20, 10, 7, out );
+	* // returns <ndarray>
+	*
+	* var bool = ( v === out );
+	* // returns true
+	*
+	* @example
+	* var random = ns.hypergeometric.factory();
+	*
+	* var out = random( [ 3, 3 ], 20, 10, 7 );
+	* // returns <ndarray>
+	*/
+	hypergeometric: typeof hypergeometric;
+
 	/**
 	* Generates pseudorandom numbers drawn from an inverse gamma distribution.
 	*
@@ -1079,6 +1152,41 @@ interface Namespace {
 	*/
 	tools: typeof tools;
 
+	/**
+	* Generates pseudorandom numbers drawn from a triangular distribution.
+	*
+	* @param shape - output shape
+	* @param a - minimum support
+	* @param b - maximum support
+	* @param c - mode
+	* @param options - function options
+	* @throws distribution parameters and the output shape must be broadcast compatible
+	* @returns output ndarray
+	*
+	* @example
+	* var out = ns.triangular( [ 3, 3 ], 2.0, 5.0, 3.0 );
+	* // returns <ndarray>
+	*
+	* @example
+	* var zeros = require( '@stdlib/ndarray/zeros' );
+	*
+	* var out = zeros( [ 3, 3 ] );
+	* // returns <ndarray>
+	*
+	* var v = ns.triangular.assign( 2.0, 5.0, 3.0, out );
+	* // returns <ndarray>
+	*
+	* var bool = ( v === out );
+	* // returns true
+	*
+	* @example
+	* var random = ns.triangular.factory();
+	*
+	* var out = random( [ 3, 3 ], 2.0, 5.0, 3.0 );
+	* // returns <ndarray>
+	*/
+	triangular: typeof triangular;
+
 	/**
 	* Generates pseudorandom numbers drawn from a continuous uniform distribution.
 	*