feat!: update namespace TypeScript declarations

This PR removes `dmax` from the `stats/base` namespace. That package has moved to `stats/strided`.

BREAKING CHANGE: remove `dmax`

To migrate, users should access `dmax` via the `stats/strided` namespace.

PR-URL: #4809
Reviewed-by: Athan Reines <[email protected]>

Author: stdlib-bot

lib/node_modules/@stdlib/blas/ext/base/docs/types/index.d.ts

@@ -1444,12 +1444,12 @@ interface Namespace {
 	dsumpw: typeof dsumpw;
 
 	/**
-	* Adds a constant to each element in a strided array.
+	* Adds a scalar constant to each element in a strided array.
 	*
 	* @param N - number of indexed elements
-	* @param alpha - constant
+	* @param alpha - scalar constant
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns `x`
 	*
 	* @example
@@ -1467,12 +1467,12 @@ interface Namespace {
 	gapx: typeof gapx;
 
 	/**
-	* Adds a constant to each strided array element and computes the sum.
+	* Adds a scalar constant to each strided array element and computes the sum.
 	*
 	* @param N - number of indexed elements
 	* @param alpha - constant
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns sum
 	*
 	* @example
@@ -1513,12 +1513,12 @@ interface Namespace {
 	gapxsumkbn: typeof gapxsumkbn;
 
 	/**
-	* Adds a constant to each strided array element and computes the sum using a second-order iterative Kahan–Babuška algorithm.
+	* Adds a scalar constant to each strided array element and computes the sum using a second-order iterative Kahan–Babuška algorithm.
 	*
 	* @param N - number of indexed elements
-	* @param alpha - constant
+	* @param alpha - scalar constant
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns sum
 	*
 	* @example
@@ -1536,12 +1536,12 @@ interface Namespace {
 	gapxsumkbn2: typeof gapxsumkbn2;
 
 	/**
-	* Adds a constant to each strided array element and computes the sum using ordinary recursive summation.
+	* Adds a scalar constant to each strided array element and computes the sum using ordinary recursive summation.
 	*
 	* @param N - number of indexed elements
-	* @param alpha - constant
+	* @param alpha - scalar constant
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns sum
 	*
 	* @example
@@ -1559,12 +1559,12 @@ interface Namespace {
 	gapxsumors: typeof gapxsumors;
 
 	/**
-	* Adds a constant to each strided array element and computes the sum using pairwise summation.
+	* Adds a scalar constant to each strided array element and computes the sum using pairwise summation.
 	*
 	* @param N - number of indexed elements
-	* @param alpha - constant
+	* @param alpha - scalar constant
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns sum
 	*
 	* @example
@@ -1586,7 +1586,7 @@ interface Namespace {
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns sum
 	*
 	* @example
@@ -1609,9 +1609,9 @@ interface Namespace {
 	* @param N - number of indexed elements
 	* @param sum - initial sum
 	* @param x - input array
-	* @param strideX - `x` stride length
+	* @param strideX - stride length for `x`
 	* @param y - output array
-	* @param strideY - `y` stride length
+	* @param strideY - stride length for `y`
 	* @returns output array
 	*
 	* @example
@@ -1663,9 +1663,9 @@ interface Namespace {
 	* @param N - number of indexed elements
 	* @param sum - initial sum
 	* @param x - input array
-	* @param strideX - `x` stride length
+	* @param strideX - stride length for `x`
 	* @param y - output array
-	* @param strideY - `y` stride length
+	* @param strideY - stride length for `y`
 	* @returns output array
 	*
 	* @example
@@ -1717,9 +1717,9 @@ interface Namespace {
 	* @param N - number of indexed elements
 	* @param sum - initial sum
 	* @param x - input array
-	* @param strideX - `x` stride length
+	* @param strideX - stride length for `x`
 	* @param y - output array
-	* @param strideY - `y` stride length
+	* @param strideY - stride length for `y`
 	* @returns output array
 	*
 	* @example
@@ -1739,12 +1739,12 @@ interface Namespace {
 	gcusumpw: typeof gcusumpw;
 
 	/**
-	* Fills a strided array with a specified scalar value.
+	* Fills a strided array with a specified scalar constant.
 	*
 	* @param N - number of indexed elements
-	* @param alpha - constant
+	* @param alpha - scalar constant
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns `x`
 	*
 	* @example
@@ -1777,8 +1777,8 @@ interface Namespace {
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
-	* @param stride - stride length
-	* @param clbk - callback
+	* @param strideX - stride length
+	* @param clbk - callback function
 	* @param thisArg - execution context
 	* @returns `x`
 	*
@@ -2169,7 +2169,7 @@ interface Namespace {
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns sum
 	*
 	* @example
@@ -2307,12 +2307,12 @@ interface Namespace {
 	sapxsum: typeof sapxsum;
 
 	/**
-	* Adds a constant to each single-precision floating-point strided array element and computes the sum using an improved Kahan–Babuška algorithm.
+	* Adds a scalar constant to each single-precision floating-point strided array element and computes the sum using an improved Kahan–Babuška algorithm.
 	*
 	* @param N - number of indexed elements
-	* @param alpha - constant
+	* @param alpha - scalar constant
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns sum
 	*
 	* @example
@@ -2446,9 +2446,9 @@ interface Namespace {
 	* @param N - number of indexed elements
 	* @param sum - initial sum
 	* @param x - input array
-	* @param strideX - `x` stride length
+	* @param strideX - stride length for `x`
 	* @param y - output array
-	* @param strideY - `y` stride length
+	* @param strideY - stride length for `y`
 	* @returns output array
 	*
 	* @example

lib/node_modules/@stdlib/stats/base/docs/types/index.d.ts

@@ -29,7 +29,6 @@ import dcumaxabs = require( '@stdlib/stats/base/dcumaxabs' );
 import dcumin = require( '@stdlib/stats/base/dcumin' );
 import dcuminabs = require( '@stdlib/stats/base/dcuminabs' );
 import dists = require( '@stdlib/stats/base/dists' );
-import dmax = require( '@stdlib/stats/strided/dmax' );
 import dmaxabs = require( '@stdlib/stats/base/dmaxabs' );
 import dmaxabssorted = require( '@stdlib/stats/base/dmaxabssorted' );
 import dmaxsorted = require( '@stdlib/stats/base/dmaxsorted' );
@@ -472,32 +471,6 @@ interface Namespace {
 	*/
 	dists: typeof dists;
 
-	/**
-	* Computes the maximum value of a double-precision floating-point strided array.
-	*
-	* @param N - number of indexed elements
-	* @param x - input array
-	* @param strideX - stride length
-	* @returns maximum value
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-	*
-	* var v = ns.dmax( x.length, x, 1 );
-	* // returns 2.0
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-	*
-	* var v = ns.dmax.ndarray( x.length, x, 1, 0 );
-	* // returns 2.0
-	*/
-	dmax: typeof dmax;
-
 	/**
 	* Computes the maximum absolute value of a double-precision floating-point strided array.
 	*
@@ -2059,7 +2032,7 @@ interface Namespace {
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns arithmetic mean
 	*
 	* @example
@@ -2085,7 +2058,7 @@ interface Namespace {
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns arithmetic mean
 	*
 	* @example
@@ -2137,7 +2110,7 @@ interface Namespace {
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns arithmetic mean
 	*
 	* @example