chore: clean-up

lib/node_modules/@stdlib/blas/base/ndarray/dsyr2/README.md

@@ -20,7 +20,7 @@ limitations under the License.
 
 # dsyr2
 
-> Performs the symmetric rank 2 operation `A = alpha*x*y^T + alpha*y*x^T + A`.
+> Perform the symmetric rank 2 operation `A = alpha*x*y^T + alpha*y*x^T + A`.
 
 <section class="intro">
 

lib/node_modules/@stdlib/blas/base/ndarray/dsyr2/docs/types/test.ts

@@ -42,7 +42,7 @@ import dsyr2 = require( '@stdlib/blas/base/ndarray/dsyr2' );
 		'dtype': 'float64'
 	});
 
-	dsyr2( [ A, x, y, uplo, alpha ] ); // $ExpectType float64ndarray
+	dsyr2( [ x, y, A, uplo, alpha ] ); // $ExpectType float64ndarray
 }
 
 // The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
@@ -77,5 +77,5 @@ import dsyr2 = require( '@stdlib/blas/base/ndarray/dsyr2' );
 	});
 
 	dsyr2(); // $ExpectError
-	dsyr2( [ A, x, y, uplo, alpha ], {} ); // $ExpectError
+	dsyr2( [ x, y, A, uplo, alpha ], {} ); // $ExpectError
 }

lib/node_modules/@stdlib/blas/base/ndarray/dsyr2/lib/main.js

@@ -47,6 +47,7 @@ var strided = require( '@stdlib/blas/base/dsyr2' ).ndarray;
 * @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
 * @returns {Object} output ndarray
 *
+* @example
 * var Float64Matrix = require( '@stdlib/ndarray/matrix/float64' );
 * var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
 * var resolveEnum = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' );

lib/node_modules/@stdlib/blas/base/ndarray/dsyr2/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@stdlib/blas/base/ndarray/dsyr2",
   "version": "0.0.0",
-  "description": "Performs the symmetric rank 2 operation `A = alpha*x*y^T + alpha*y*x^T + A`.",
+  "description": "Perform the symmetric rank 2 operation `A = alpha*x*y^T + alpha*y*x^T + A`.",
   "license": "Apache-2.0",
   "author": {
     "name": "The Stdlib Authors",

lib/node_modules/@stdlib/blas/base/ndarray/ssyr2/README.md

@@ -20,7 +20,7 @@ limitations under the License.
 
 # ssyr2
 
-> Performs the symmetric rank 2 operation `A = alpha*x*y^T + alpha*y*x^T + A`.
+> Perform the symmetric rank 2 operation `A = alpha*x*y^T + alpha*y*x^T + A`.
 
 <section class="intro">
 

lib/node_modules/@stdlib/blas/base/ndarray/ssyr2/lib/main.js

@@ -47,6 +47,7 @@ var strided = require( '@stdlib/blas/base/ssyr2' ).ndarray;
 * @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
 * @returns {Object} output ndarray
 *
+* @example
 * var Float32Matrix = require( '@stdlib/ndarray/matrix/float32' );
 * var Float32Vector = require( '@stdlib/ndarray/vector/float32' );
 * var resolveEnum = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' );

lib/node_modules/@stdlib/blas/base/ndarray/ssyr2/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@stdlib/blas/base/ndarray/ssyr2",
   "version": "0.0.0",
-  "description": "Performs the symmetric rank 2 operation `A = alpha*x*y^T + alpha*y*x^T + A`.",
+  "description": "Perform the symmetric rank 2 operation `A = alpha*x*y^T + alpha*y*x^T + A`.",
   "license": "Apache-2.0",
   "author": {
     "name": "The Stdlib Authors",

lib/node_modules/@stdlib/blas/ext/base/ndarray/gany/README.md

@@ -51,9 +51,7 @@ var v = gany( [ x ] );
 
 The function has the following parameters:
 
--   **arrays**: array-like object containing the following ndarrays:
-
-    -   a one-dimensional input ndarray.
+-   **arrays**: array-like object containing a one-dimensional input ndarray.
 
 </section>
 

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

@@ -20,7 +20,7 @@
 
 /// <reference types="@stdlib/types"/>
 
-import { ndarray } from '@stdlib/types/ndarray';
+import { typedndarray } from '@stdlib/types/ndarray';
 
 /**
 * Tests whether at least one element in a one-dimensional ndarray is truthy.
@@ -44,7 +44,7 @@ import { ndarray } from '@stdlib/types/ndarray';
 * var v = gany( [ x ] );
 * // returns true
 */
-declare function gany( arrays: [ ndarray ] ): boolean;
+declare function gany( arrays: [ typedndarray<unknown> ] ): boolean;
 
 
 // EXPORTS //