From 73cf86c869fb19e6b7610925008eebe34f65f14f Mon Sep 17 00:00:00 2001
From: Planeshifter <1913638+Planeshifter@users.noreply.github.com>
Date: Thu, 26 Jun 2025 02:48:50 +0000
Subject: [PATCH] docs: update namespace table of contents
Signed-off-by: stdlib-bot <82920195+stdlib-bot@users.noreply.github.com>
---
lib/node_modules/@stdlib/ndarray/base/README.md | 6 +++---
lib/node_modules/@stdlib/stats/base/README.md | 4 ++--
2 files changed, 5 insertions(+), 5 deletions(-)
diff --git a/lib/node_modules/@stdlib/ndarray/base/README.md b/lib/node_modules/@stdlib/ndarray/base/README.md
index ba359cd1e46a..d7b62d7b40d2 100644
--- a/lib/node_modules/@stdlib/ndarray/base/README.md
+++ b/lib/node_modules/@stdlib/ndarray/base/README.md
@@ -155,12 +155,12 @@ var o = ns;
- [`unaryInputCastingDataType( idtype, odtype, policy )`][@stdlib/ndarray/base/unary-input-casting-dtype]: resolve the input ndarray casting data type for a unary function.
- [`unaryLoopOrder( shape, stridesX, stridesY )`][@stdlib/ndarray/base/unary-loop-interchange-order]: reorder ndarray dimensions and associated strides for loop interchange.
- [`unaryOutputDataType( dtype, policy )`][@stdlib/ndarray/base/unary-output-dtype]: resolve the output ndarray data type for a unary function.
+- [`unaryReduceStrided1dAssignStruct( fcn, arrays, dims[, options] )`][@stdlib/ndarray/base/unary-reduce-strided1d-assign-struct]: perform a reduction over a list of specified dimensions in an input ndarray via a one-dimensional strided array reduction function which accepts an output `struct` object and assign results to a provided output ndarray.
- [`unaryReduceStrided1dBy( fcn, arrays, dims[, options], clbk[, thisArg] )`][@stdlib/ndarray/base/unary-reduce-strided1d-by]: perform a reduction over a list of specified dimensions in an input ndarray via a one-dimensional strided array reduction function accepting a callback and assign results to a provided output ndarray.
- [`unaryReduceStrided1dDispatchByFactory( table, idtypes, odtypes, policies )`][@stdlib/ndarray/base/unary-reduce-strided1d-dispatch-by-factory]: create a function for performing a reduction on an input ndarray according to a callback function.
- [`unaryReduceStrided1dDispatchBy( table, idtypes, odtypes, policies )`][@stdlib/ndarray/base/unary-reduce-strided1d-dispatch-by]: constructor for performing a reduction on an input ndarray according to a callback function.
- [`unaryReduceStrided1dDispatchFactory( table, idtypes, odtypes, policies )`][@stdlib/ndarray/base/unary-reduce-strided1d-dispatch-factory]: create a function for performing a reduction on an input ndarray.
- [`unaryReduceStrided1dDispatch( table, idtypes, odtypes, policies )`][@stdlib/ndarray/base/unary-reduce-strided1d-dispatch]: constructor for performing a reduction on an input ndarray.
-- [`unaryReduceStrided1dToStruct( fcn, arrays, dims[, options] )`][@stdlib/ndarray/base/unary-reduce-strided1d-to-struct]: perform a reduction over a list of specified dimensions in an input ndarray via a one-dimensional strided array reduction function and assign results to a provided output ndarray.
- [`unaryReduceStrided1d( fcn, arrays, dims[, options] )`][@stdlib/ndarray/base/unary-reduce-strided1d]: perform a reduction over a list of specified dimensions in an input ndarray via a one-dimensional strided array reduction function and assign results to a provided output ndarray.
- [`unaryReduceSubarrayBy( fcn, arrays, dims[, options], clbk[, thisArg] )`][@stdlib/ndarray/base/unary-reduce-subarray-by]: perform a reduction over a list of specified dimensions in an input ndarray according to a callback function and assign results to a provided output ndarray.
- [`unaryReduceSubarray( fcn, arrays, dims[, options] )`][@stdlib/ndarray/base/unary-reduce-subarray]: perform a reduction over a list of specified dimensions in an input ndarray and assign results to a provided output ndarray.
@@ -453,6 +453,8 @@ console.log( objectKeys( ns ) );
[@stdlib/ndarray/base/unary-output-dtype]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unary-output-dtype
+[@stdlib/ndarray/base/unary-reduce-strided1d-assign-struct]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unary-reduce-strided1d-assign-struct
+
[@stdlib/ndarray/base/unary-reduce-strided1d-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unary-reduce-strided1d-by
[@stdlib/ndarray/base/unary-reduce-strided1d-dispatch-by-factory]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unary-reduce-strided1d-dispatch-by-factory
@@ -463,8 +465,6 @@ console.log( objectKeys( ns ) );
[@stdlib/ndarray/base/unary-reduce-strided1d-dispatch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unary-reduce-strided1d-dispatch
-[@stdlib/ndarray/base/unary-reduce-strided1d-to-struct]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unary-reduce-strided1d-to-struct
-
[@stdlib/ndarray/base/unary-reduce-strided1d]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unary-reduce-strided1d
[@stdlib/ndarray/base/unary-reduce-subarray-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unary-reduce-subarray-by
diff --git a/lib/node_modules/@stdlib/stats/base/README.md b/lib/node_modules/@stdlib/stats/base/README.md
index 0a3782b8f26f..d28b07869d44 100644
--- a/lib/node_modules/@stdlib/stats/base/README.md
+++ b/lib/node_modules/@stdlib/stats/base/README.md
@@ -107,10 +107,10 @@ The namespace contains the following statistical functions:
- [`stdevtk( N, correction, x, stride )`][@stdlib/stats/base/stdevtk]: calculate the standard deviation of a strided array using a one-pass textbook algorithm.
- [`stdevwd( N, correction, x, stride )`][@stdlib/stats/base/stdevwd]: calculate the standard deviation of a strided array using Welford's algorithm.
- [`stdevyc( N, correction, x, stride )`][@stdlib/stats/base/stdevyc]: calculate the standard deviation of a strided array using a one-pass algorithm proposed by Youngs and Cramer.
-- [`variance( N, correction, x, stride )`][@stdlib/stats/base/variance]: calculate the variance of a strided array.
+- [`variance( N, correction, x, strideX )`][@stdlib/stats/base/variance]: calculate the variance of a strided array.
- [`variancech( N, correction, x, strideX )`][@stdlib/stats/base/variancech]: calculate the variance of a strided array using a one-pass trial mean algorithm.
- [`variancepn( N, correction, x, strideX )`][@stdlib/stats/base/variancepn]: calculate the variance of a strided array using a two-pass algorithm.
-- [`variancetk( N, correction, x, stride )`][@stdlib/stats/base/variancetk]: calculate the variance of a strided array using a one-pass textbook algorithm.
+- [`variancetk( N, correction, x, strideX )`][@stdlib/stats/base/variancetk]: calculate the variance of a strided array using a one-pass textbook algorithm.
- [`variancewd( N, correction, x, stride )`][@stdlib/stats/base/variancewd]: calculate the variance of a strided array using Welford's algorithm.
- [`varianceyc( N, correction, x, strideX )`][@stdlib/stats/base/varianceyc]: calculate the variance of a strided array using a one-pass algorithm proposed by Youngs and Cramer.