feat!: update namespace TypeScript declarations

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

@@ -2400,39 +2400,19 @@ interface Namespace {
 	*
 	* @example
 	* var Complex128Array = require( '@stdlib/array/complex128' );
-	* var real = require( '@stdlib/complex/float64/real' );
-	* var imag = require( '@stdlib/complex/float64/imag' );
 	*
 	* var zx = new Complex128Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
 	*
 	* ns.zdscal( 3, 2.0, zx, 1 );
-	*
-	* var z = zx.get( 1 );
-	* // returns <Complex128>
-	*
-	* var re = real( z );
-	* // returns 6.0
-	*
-	* var im = imag( z );
-	* // returns 8.0
+	* // zx => <Complex128Array>[ 2.0, 4.0, 6.0, 8.0, 10.0, 12.0 ]
 	*
 	* @example
 	* var Complex128Array = require( '@stdlib/array/complex128' );
-	* var real = require( '@stdlib/complex/float64/real' );
-	* var imag = require( '@stdlib/complex/float64/imag' );
 	*
 	* var zx = new Complex128Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
 	*
 	* ns.zdscal.ndarray( 2, 2.0, zx, 1, 1 );
-	*
-	* var z = zx.get( 1 );
-	* // returns <Complex128>
-	*
-	* var re = real( z );
-	* // returns 10.0
-	*
-	* var im = imag( z );
-	* // returns 12.0
+	* // zx => <Complex128Array>[ 1.0, 2.0, 6.0, 8.0, 10.0, 12.0 ]
 	*/
 	zdscal: typeof zdscal;
 

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

@@ -29,14 +29,14 @@ import cneg = require( '@stdlib/math/base/ops/cneg' );
 import cnegf = require( '@stdlib/math/base/ops/cnegf' );
 import csub = require( '@stdlib/math/base/ops/csub' );
 import csubf = require( '@stdlib/math/base/ops/csubf' );
-import divf = require( '@stdlib/number/float32/base/div' );
 import imul = require( '@stdlib/math/base/ops/imul' );
 import imuldw = require( '@stdlib/math/base/ops/imuldw' );
 import mulf = require( '@stdlib/math/base/ops/mulf' );
 import subf = require( '@stdlib/math/base/ops/subf' );
 import umul = require( '@stdlib/math/base/ops/umul' );
 import umuldw = require( '@stdlib/math/base/ops/umuldw' );
 import addf = require( '@stdlib/number/float32/base/add' );
+import divf = require( '@stdlib/number/float32/base/div' );
 import div = require( '@stdlib/number/float64/base/div' );
 import mul = require( '@stdlib/number/float64/base/mul' );
 import sub = require( '@stdlib/number/float64/base/sub' );
@@ -417,35 +417,6 @@ interface Namespace {
 	*/
 	csubf: typeof csubf;
 
-	/**
-	* Divides two single-precision floating-point numbers `x` and `y`.
-	*
-	* @param x - first input value (divided)
-	* @param y - second input value (divisor)
-	* @returns result
-	*
-	* @example
-	* var v = ns.divf( -1.0, 5.0 );
-	* // returns ~-0.2
-	*
-	* @example
-	* var v = ns.divf( 2.0, 5.0 );
-	* // returns ~0.4
-	*
-	* @example
-	* var v = ns.divf( 0.0, 5.0 );
-	* // returns 0.0
-	*
-	* @example
-	* var v = ns.divf( -0.0, 5.0 );
-	* // returns -0.0
-	*
-	* @example
-	* var v = ns.divf( NaN, NaN );
-	* // returns NaN
-	*/
-	divf: typeof divf;
-
 	/**
 	* Performs C-like multiplication of two signed 32-bit integers.
 	*
@@ -593,6 +564,35 @@ interface Namespace {
 	*/
 	addf: typeof addf;
 
+	/**
+	* Divides two single-precision floating-point numbers `x` and `y`.
+	*
+	* @param x - first input value (divided)
+	* @param y - second input value (divisor)
+	* @returns result
+	*
+	* @example
+	* var v = ns.divf( -1.0, 5.0 );
+	* // returns ~-0.2
+	*
+	* @example
+	* var v = ns.divf( 2.0, 5.0 );
+	* // returns ~0.4
+	*
+	* @example
+	* var v = ns.divf( 0.0, 5.0 );
+	* // returns 0.0
+	*
+	* @example
+	* var v = ns.divf( -0.0, 5.0 );
+	* // returns -0.0
+	*
+	* @example
+	* var v = ns.divf( NaN, NaN );
+	* // returns NaN
+	*/
+	divf: typeof divf;
+
 	/**
 	* Divides two double-precision floating-point numbers `x` and `y`.
 	*

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

@@ -35,7 +35,6 @@ import dmeanvarpn = require( '@stdlib/stats/base/dmeanvarpn' );
 import dmskmax = require( '@stdlib/stats/base/dmskmax' );
 import dmskmin = require( '@stdlib/stats/base/dmskmin' );
 import dmskrange = require( '@stdlib/stats/base/dmskrange' );
-import dnanmean = require( '@stdlib/stats/strided/dnanmean' );
 import dnanmeanors = require( '@stdlib/stats/base/dnanmeanors' );
 import dnanmeanpn = require( '@stdlib/stats/base/dnanmeanpn' );
 import dnanmeanpw = require( '@stdlib/stats/base/dnanmeanpw' );
@@ -646,32 +645,6 @@ interface Namespace {
 	*/
 	dmskrange: typeof dmskrange;
 
-	/**
-	* Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values.
-	*
-	* @param N - number of indexed elements
-	* @param x - input array
-	* @param strideX - stride length
-	* @returns arithmetic mean
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
-	*
-	* var v = ns.dnanmean( x.length, x, 1 );
-	* // returns ~0.3333
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array/float64' );
-	*
-	* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
-	*
-	* var v = ns.dnanmean.ndarray( x.length, x, 1, 0 );
-	* // returns ~0.3333
-	*/
-	dnanmean: typeof dnanmean;
-
 	/**
 	* Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation.
 	*
@@ -1145,7 +1118,7 @@ interface Namespace {
 	* @param N - number of indexed elements
 	* @param correction - degrees of freedom adjustment
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns variance
 	*
 	* @example
@@ -1172,7 +1145,7 @@ interface Namespace {
 	* @param N - number of indexed elements
 	* @param correction - degrees of freedom adjustment
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns variance
 	*
 	* @example
@@ -1226,7 +1199,7 @@ interface Namespace {
 	* @param N - number of indexed elements
 	* @param correction - degrees of freedom adjustment
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns variance
 	*
 	* @example
@@ -1253,7 +1226,7 @@ interface Namespace {
 	* @param N - number of indexed elements
 	* @param correction - degrees of freedom adjustment
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns variance
 	*
 	* @example