refactor: apply suggestions from code review

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---

Author: headlessNode

lib/node_modules/@stdlib/ndarray/flatten-from/README.md

@@ -20,7 +20,7 @@ limitations under the License.
 
 # flattenFrom
 
-> Return a copy of an input [ndarray][@stdlib/ndarray/ctor], where all dimensions of the input [ndarray][@stdlib/ndarray/ctor] are flattened starting from a specific dimension.
+> Return a copy of an input [ndarray][@stdlib/ndarray/ctor], where all dimensions of the input [ndarray][@stdlib/ndarray/ctor] are flattened starting from a specified dimension.
 
 <section class="intro">
 
@@ -38,25 +38,18 @@ var flattenFrom = require( '@stdlib/ndarray/flatten-from' );
 
 #### flattenFrom( x, dim\[, options] )
 
-Returns a copy of an input [ndarray][@stdlib/ndarray/ctor], where all dimensions of the input [ndarray][@stdlib/ndarray/ctor] are flattened starting from a specific dimension.
+Returns a copy of an input [ndarray][@stdlib/ndarray/ctor], where all dimensions of the input [ndarray][@stdlib/ndarray/ctor] are flattened starting from a specified dimension.
 
 ```javascript
 var array = require( '@stdlib/ndarray/array' );
-var shape = require( '@stdlib/ndarray/shape' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 
 var x = array( [ [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 5.0, 6.0 ] ] ] );
 // returns <ndarray>
 
-var shx = shape( x );
-// returns [ 3, 1, 2 ]
-
 var y = flattenFrom( x, 1 );
 // returns <ndarray>
 
-var shy = shape( y );
-// returns [ 3, 2 ]
-
 var arr = ndarray2array( y );
 // returns [ [ 1, 2 ], [ 3, 4 ], [ 5, 6 ] ]
 ```
@@ -84,23 +77,16 @@ By default, the input [ndarray][@stdlib/ndarray/ctor] is flattened in lexicograp
 
 ```javascript
 var array = require( '@stdlib/ndarray/array' );
-var shape = require( '@stdlib/ndarray/shape' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 
 var x = array( [ [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 5.0, 6.0 ] ] ] );
 // returns <ndarray>
 
-var shx = shape( x );
-// returns [ 3, 1, 2 ]
-
 var y = flattenFrom( x, 0, {
     'order': 'column-major'
 });
 // returns <ndarray>
 
-var shy = shape( y );
-// returns [ 6 ]
-
 var arr = ndarray2array( y );
 // returns [ 1.0, 3.0, 5.0, 2.0, 4.0, 6.0 ]
 ```
@@ -110,23 +96,16 @@ By default, the output ndarray [data type][@stdlib/ndarray/dtypes] is inferred f
 ```javascript
 var array = require( '@stdlib/ndarray/array' );
 var dtype = require( '@stdlib/ndarray/dtype' );
-var shape = require( '@stdlib/ndarray/shape' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 
 var x = array( [ [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 5.0, 6.0 ] ] ] );
 // returns <ndarray>
 
-var shx = shape( x );
-// returns [ 3, 1, 2 ]
-
 var y = flattenFrom( x, 0, {
     'dtype': 'float32'
 });
 // returns <ndarray>
 
-var shy = shape( y );
-// returns [ 6 ]
-
 var dt = dtype( y );
 // returns 'float32'
 

lib/node_modules/@stdlib/ndarray/flatten-from/docs/repl.txt

@@ -1,7 +1,7 @@
 
 {{alias}}( x, dim[, options] )
     Returns a copy of an input ndarray, where all dimensions of the input
-    ndarray are flattened starting from a specific dimension.
+    ndarray are flattened starting from a specified dimension.
 
     The function always returns a copy of input ndarray data, even when an input
     ndarray already has the desired number of dimensions.

lib/node_modules/@stdlib/ndarray/flatten-from/docs/types/index.d.ts

@@ -54,7 +54,7 @@ type Options<U> = BaseOptions & {
 };
 
 /**
-* Returns a copy of an input ndarray, where all dimensions of the input ndarray are flattened starting from a specific dimension.
+* Returns a copy of an input ndarray, where all dimensions of the input ndarray are flattened starting from a specified dimension.
 *
 * ## Notes
 *
@@ -91,7 +91,7 @@ type Options<U> = BaseOptions & {
 declare function flattenFrom<T extends ndarray>( x: T, dim: number, options?: BaseOptions ): T;
 
 /**
-* Returns a copy of an input ndarray, where all dimensions of the input ndarray are flattened starting from a specific dimension.
+* Returns a copy of an input ndarray, where all dimensions of the input ndarray are flattened starting from a specified dimension.
 *
 * ## Notes
 *

lib/node_modules/@stdlib/ndarray/flatten-from/lib/index.js

@@ -19,30 +19,23 @@
 'use strict';
 
 /**
-* Return a copy of an input ndarray, where all dimensions of the input ndarray are flattened starting from a specific dimension.
+* Return a copy of an input ndarray, where all dimensions of the input ndarray are flattened starting from a specified dimension.
 *
 * @module @stdlib/ndarray/flatten-from
 *
 * @example
 * var array = require( '@stdlib/ndarray/array' );
-* var shape = require( '@stdlib/ndarray/shape' );
 * var ndarray2array = require( '@stdlib/ndarray/to-array' );
 * var flattenFrom = require( '@stdlib/ndarray/flatten-from' );
 *
 * // Create an input ndarray:
 * var x = array( [ [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 5.0, 6.0 ] ] ] );
 * // returns <ndarray>
 *
-* var shx = shape( x );
-* // returns [ 3, 1, 2 ]
-*
 * // Flatten the input ndarray:
 * var y = flattenFrom( x, 1 );
 * // returns <ndarray>
 *
-* var shy = shape( y );
-* // returns [ 3, 2 ]
-*
 * var arr = ndarray2array( y );
 * // returns [ [ 1, 2 ], [ 3, 4 ], [ 5, 6 ] ]
 */

lib/node_modules/@stdlib/ndarray/flatten-from/lib/main.js

@@ -48,7 +48,7 @@ var COL_MAJOR = 'column-major';
 // MAIN //
 
 /**
-* Returns a copy of an input ndarray, where all dimensions of the input ndarray are flattened starting from a specific dimension.
+* Returns a copy of an input ndarray, where all dimensions of the input ndarray are flattened starting from a specified dimension.
 *
 * @param {ndarray} x - input ndarray
 * @param {integer} dim - dimension to start flattening from.

lib/node_modules/@stdlib/ndarray/flatten-from/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@stdlib/ndarray/flatten-from",
   "version": "0.0.0",
-  "description": "Return a copy of an input ndarray, where all dimensions of the input ndarray are flattened starting from a specific dimension.",
+  "description": "Return a copy of an input ndarray, where all dimensions of the input ndarray are flattened starting from a specified dimension.",
   "license": "Apache-2.0",
   "author": {
     "name": "The Stdlib Authors",