docs: ensure support for dtype instances and update examples

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Author: kgryte

lib/node_modules/@stdlib/ndarray/base/unary-strided1d-dispatch-factory/README.md

@@ -87,7 +87,6 @@ Applies a strided function to a provided input ndarray.
 <!-- eslint-disable id-length -->
 
 ```javascript
-var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 var base = require( '@stdlib/stats/base/ndarray/cumax' );
 
@@ -107,10 +106,7 @@ var xbuf = [ -1.0, 2.0, -3.0 ];
 var x = new ndarray( 'generic', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
 
 var y = unary( x );
-// returns <ndarray>
-
-var arr = ndarray2array( y );
-// returns [ -1.0, 2.0, 2.0 ]
+// returns <ndarray>[ -1.0, 2.0, 2.0 ]
 ```
 
 The function has the following parameters:
@@ -153,7 +149,7 @@ var y = unary( x, {
 });
 // returns <ndarray>
 
-var dt = getDType( y );
+var dt = String( getDType( y ) );
 // returns 'float64'
 ```
 
@@ -166,7 +162,6 @@ Applies a strided function to a provided input ndarray and assigns results to a
 ```javascript
 var base = require( '@stdlib/stats/base/ndarray/cumax' );
 var dtypes = require( '@stdlib/ndarray/dtypes' );
-var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 
 var idt = dtypes( 'real_and_generic' );
@@ -188,10 +183,7 @@ var ybuf = [ 0.0, 0.0, 0.0 ];
 var y = new ndarray( 'generic', ybuf, [ ybuf.length ], [ 1 ], 0, 'row-major' );
 
 var out = unary.assign( x, y );
-// returns <ndarray>
-
-var arr = ndarray2array( out );
-// returns [ -1.0, 2.0, 2.0 ]
+// returns <ndarray>[ -1.0, 2.0, 2.0 ]
 
 var bool = ( out === y );
 // returns true

lib/node_modules/@stdlib/ndarray/base/unary-strided1d-dispatch-factory/docs/repl.txt

@@ -28,11 +28,11 @@
         - arrays: array containing an input and an output ndarray, followed by
         any additional ndarray arguments.
 
-    idtypes: Array<Array<string>>
+    idtypes: Array<Array<string|DataType>>
         List containing lists of supported input array data types for each input
         ndarray argument.
 
-    odtypes: Array<string>
+    odtypes: Array<string|DataType>
         List of supported output array data types.
 
     policies: Object
@@ -75,7 +75,7 @@ fcn( x[, ...args][, options] )
     options: Object (optional)
         Function options.
 
-    options.dtype: string (optional)
+    options.dtype: string|DataType (optional)
         Output array data type. Setting this option overrides the output data
         type policy.
 

lib/node_modules/@stdlib/ndarray/base/unary-strided1d-dispatch-factory/lib/main.js

@@ -31,10 +31,10 @@ var UnaryStrided1dDispatch = require( '@stdlib/ndarray/base/unary-strided1d-disp
 *
 * @param {Object} table - dispatch table
 * @param {Function} table.default - default strided function
-* @param {StringArray} [table.types] - one-dimensional list of ndarray data types describing specialized input and output ndarray argument signatures
+* @param {ArrayLikeObject} [table.types] - one-dimensional list of ndarray data types describing specialized input and output ndarray argument signatures
 * @param {ArrayLikeObject<Function>} [table.fcns] - list of strided functions which are specific to specialized input and output ndarray argument signatures
-* @param {ArrayLikeObject<StringArray>} idtypes - list containing lists of supported input data types for each ndarray argument
-* @param {StringArray} odtypes - list of supported output data types
+* @param {ArrayLikeObject<ArrayLikeObject>} idtypes - list containing lists of supported input data types for each ndarray argument
+* @param {ArrayLikeObject} odtypes - list of supported output data types
 * @param {Object} policies - policies
 * @param {string} policies.output - output data type policy
 * @param {string} policies.casting - input ndarray casting policy
@@ -127,7 +127,7 @@ function factory( table, idtypes, odtypes, policies, options ) {
 	* @param {...ndarrayLike} [args] - additional ndarray arguments
 	* @param {Options} [options] - function options
 	* @param {IntegerArray} [options.dims] - list of dimensions over which to perform operation
-	* @param {string} [options.dtype] - output ndarray data type
+	* @param {*} [options.dtype] - output ndarray data type
 	* @throws {TypeError} first argument must be an ndarray
 	* @throws {TypeError} options argument must be an object
 	* @throws {RangeError} dimension indices must not exceed input ndarray bounds