chore: clean-up

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---

Author: kgryte

lib/node_modules/@stdlib/ndarray/base/binary-reduce-strided1d-dispatch/README.md

@@ -22,7 +22,7 @@ limitations under the License.
 
 # BinaryStrided1dDispatch
 
-> Constructor for performing a binary reduction on two input ndarrays.
+> Constructor for performing a reduction on two input ndarrays.
 
 <section class="usage">
 
@@ -34,7 +34,7 @@ var BinaryStrided1dDispatch = require( '@stdlib/ndarray/base/binary-reduce-strid
 
 #### BinaryStrided1dDispatch( table, idtypes, odtypes, policies )
 
-Constructor for performing a binary reduction on two input ndarrays.
+Constructor for performing a reduction on two input ndarrays.
 
 ```javascript
 var base = require( '@stdlib/blas/base/ndarray/gdot' );
@@ -45,23 +45,23 @@ var table = {
 
 var dtypes = [ 'float64', 'float32', 'generic' ];
 var policies = {
-    'output': 'same',
-    'casting': 'none'
+    'output': 'promoted',
+    'casting': 'promoted'
 };
 
 var binary = new BinaryStrided1dDispatch( table, [ dtypes, dtypes ], dtypes, policies );
 ```
 
 The constructor has the following parameters:
 
--   **table**: strided binary reduction function dispatch table. Must have the following properties:
+-   **table**: strided reduction function dispatch table. Must have the following properties:
 
-    -   **default**: default strided binary reduction function which should be invoked when provided ndarrays have data types which do not have a corresponding specialized implementation.
+    -   **default**: default strided reduction function which should be invoked when provided ndarrays have data types which do not have a corresponding specialized implementation.
 
     A dispatch table may have the following additional properties:
 
-    -   **types**: one-dimensional list of ndarray data types describing specialized input ndarray argument signatures. Only the input ndarray argument data types should be specified. Output ndarray and additional input ndarray argument data types should be omitted and are not considered during dispatch. The length of `types` must equal twice the number of strided functions specified by `fcns` (i.e., for every pair of input ndarray data types, there must be a corresponding strided binary reduction function in `fcns`).
-    -   **fcns**: list of strided binary reduction functions which are specific to specialized input ndarray argument signatures.
+    -   **types**: one-dimensional list of ndarray data types describing specialized input ndarray argument signatures. Only the input ndarray argument data types should be specified. Output ndarray and additional input ndarray argument data types should be omitted and are not considered during dispatch. The length of `types` must be twice the number of strided functions specified by `fcns` (i.e., for every pair of input ndarray data types, there must be a corresponding strided reduction function in `fcns`).
+    -   **fcns**: list of strided reduction functions which are specific to specialized input ndarray argument signatures.
 
 -   **idtypes**: list containing lists of supported input data types for each input ndarray argument.
 
@@ -74,7 +74,7 @@ The constructor has the following parameters:
 
 #### BinaryStrided1dDispatch.prototype.apply( x, y\[, ...args]\[, options] )
 
-Performs a binary reduction on two provided input ndarrays.
+Performs a reduction on two provided input ndarrays.
 
 ```javascript
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
@@ -86,8 +86,8 @@ var table = {
 
 var dtypes = [ 'float64', 'float32', 'generic' ];
 var policies = {
-    'output': 'same',
-    'casting': 'none'
+    'output': 'promoted',
+    'casting': 'promoted'
 };
 
 var binary = new BinaryStrided1dDispatch( table, [ dtypes, dtypes ], dtypes, policies );
@@ -114,7 +114,7 @@ The method has the following parameters:
 
 The method accepts the following options:
 
--   **dims**: list of dimensions over which to perform a binary reduction.
+-   **dims**: list of dimensions over which to perform a reduction.
 -   **dtype**: output ndarray data type. Setting this option, overrides the output data type policy.
 -   **keepdims**: boolean indicating whether the reduced dimensions should be included in the returned ndarray as singleton dimensions. Default: `false`.
 
@@ -131,8 +131,8 @@ var table = {
 
 var dtypes = [ 'float64', 'float32', 'generic' ];
 var policies = {
-    'output': 'same',
-    'casting': 'none'
+    'output': 'promoted',
+    'casting': 'promoted'
 };
 
 var binary = new BinaryStrided1dDispatch( table, [ dtypes, dtypes ], dtypes, policies );
@@ -154,7 +154,7 @@ var dt = getDType( z );
 
 #### BinaryStrided1dDispatch.prototype.assign( x, y\[, ...args], out\[, options] )
 
-Performs a binary reduction on two provided input ndarrays and assigns results to a provided output ndarray.
+Performs a reduction on two provided input ndarrays and assigns results to a provided output ndarray.
 
 ```javascript
 var base = require( '@stdlib/blas/base/ndarray/gdot' );
@@ -164,8 +164,8 @@ var ndarray = require( '@stdlib/ndarray/base/ctor' );
 var idt = dtypes( 'real_and_generic' );
 var odt = idt;
 var policies = {
-    'output': 'same',
-    'casting': 'none'
+    'output': 'promoted',
+    'casting': 'promoted'
 };
 
 var table = {
@@ -202,7 +202,7 @@ The method has the following parameters:
 
 The method accepts the following options:
 
--   **dims**: list of dimensions over which to perform a binary reduction.
+-   **dims**: list of dimensions over which to perform a reduction.
 
 </section>
 
@@ -212,7 +212,7 @@ The method accepts the following options:
 
 ## Notes
 
--   A strided binary reduction function should have the following signature:
+-   A strided reduction function should have the following signature:
 
     ```text
     f( arrays )
@@ -251,15 +251,15 @@ var odt = dtypes( 'real_and_generic' );
 
 // Define dispatch policies:
 var policies = {
-    'output': 'same',
-    'casting': 'none'
+    'output': 'promoted',
+    'casting': 'promoted'
 };
 
 // Define a dispatch table:
 var table = {
     'types': [
-        'float64', 'float64', // first and second input
-        'float32', 'float32'  // first and second input
+        'float64', 'float64', // input data types
+        'float32', 'float32'  // input data types
     ],
     'fcns': [
         ddot,
@@ -268,7 +268,7 @@ var table = {
     'default': base
 };
 
-// Create an interface for performing a binary reduction:
+// Create an interface for performing a reduction:
 var dot = new BinaryStrided1dDispatch( table, [ idt, idt ], odt, policies );
 
 // Generate arrays of random numbers:
@@ -283,7 +283,7 @@ var ybuf = uniform( 100, -1.0, 1.0, {
 var x = new ndarray( 'generic', xbuf, [ 10, 10 ], [ 10, 1 ], 0, 'row-major' );
 var y = new ndarray( 'generic', ybuf, [ 10, 10 ], [ 10, 1 ], 0, 'row-major' );
 
-// Perform a binary reduction:
+// Perform a reduction:
 var z = dot.apply( x, y, {
     'dims': [ 0 ]
 });

lib/node_modules/@stdlib/ndarray/base/binary-reduce-strided1d-dispatch/benchmark/benchmark.apply.js

@@ -53,8 +53,8 @@ function createBenchmark( len ) {
 	};
 	dt = dtypes( 'real_floating_point' );
 	policies = {
-		'output': 'same',
-		'casting': 'none'
+		'output': 'promoted',
+		'casting': 'promoted'
 	};
 	binary = new BinaryStrided1dDispatch( table, [ dt, dt ], dt, policies );
 

lib/node_modules/@stdlib/ndarray/base/binary-reduce-strided1d-dispatch/benchmark/benchmark.assign.js

@@ -55,8 +55,8 @@ function createBenchmark( len ) {
 	};
 	dt = dtypes( 'real_floating_point' );
 	policies = {
-		'output': 'same',
-		'casting': 'none'
+		'output': 'promoted',
+		'casting': 'promoted'
 	};
 	binary = new BinaryStrided1dDispatch( table, [ dt, dt ], dt, policies );
 

lib/node_modules/@stdlib/ndarray/base/binary-reduce-strided1d-dispatch/benchmark/benchmark.js

@@ -43,8 +43,8 @@ bench( pkg+'::new', function benchmark( b ) {
 		'float32'
 	];
 	policies = {
-		'output': 'same',
-		'casting': 'none'
+		'output': 'promoted',
+		'casting': 'promoted'
 	};
 
 	b.tic();
@@ -78,8 +78,8 @@ bench( pkg+'::no_new', function benchmark( b ) {
 		'float32'
 	];
 	policies = {
-		'output': 'same',
-		'casting': 'none'
+		'output': 'promoted',
+		'casting': 'promoted'
 	};
 
 	fcn = BinaryStrided1dDispatch;

lib/node_modules/@stdlib/ndarray/base/binary-reduce-strided1d-dispatch/docs/repl.txt

@@ -1,26 +1,26 @@
 
 {{alias}}( table, idtypes, odtypes, policies )
-    Returns an ndarray function interface for performing a binary reduction on
-    two input ndarrays.
+    Returns an ndarray function interface for performing a reduction on two
+    input ndarrays.
 
     Parameters
     ----------
     table: Object
-        Dispatch table containing strided binary reduction functions. The table
-        object must have the following property:
+        Dispatch table containing strided reduction functions. The table object
+        must have the following property:
 
-        - default: default strided binary reduction function to invoke when
-        provided ndarrays have data types which do not have a corresponding
-        specialized implementation.
+        - default: default strided reduction function to invoke when provided
+        ndarrays have data types which do not have a corresponding specialized
+        implementation.
 
         The table may having the following additional properties:
 
         - types: one-dimensional list of ndarray data types describing
         specialized input ndarray argument signatures.
-        - fcns: list of strided binary reduction functions which are specific
-        to specialized input ndarray argument signatures.
+        - fcns: list of strided reduction functions which are specific to
+        specialized input ndarray argument signatures.
 
-        A strided binary reduction function should have the following signature:
+        A strided reduction function should have the following signature:
 
             f( arrays )
 
@@ -45,18 +45,18 @@
     Returns
     -------
     out: Object
-        Instance having methods for performing a binary reduction.
+        Instance having methods for performing a reduction.
 
     Examples
     --------
     > var dts = [ 'float64', 'float32', 'generic' ];
-    > var p = { 'output': 'same', 'casting': 'none' };
+    > var p = { 'output': 'promoted', 'casting': 'promoted' };
     > var t = { 'default': {{alias:@stdlib/blas/base/ndarray/gdot}} };
     > var out = new {{alias}}( t, [ dts, dts ], dts, p );
 
 
 {{alias}}.prototype.apply( x, y[, ...args][, options] )
-    Performs a binary reduction on two provided input ndarrays.
+    Performs a reduction on two provided input ndarrays.
 
     Parameters
     ----------
@@ -77,9 +77,9 @@
         type policy.
 
     options.dims: Array<integer> (optional)
-        List of dimensions over which to perform a binary reduction. If not
-        provided, the function performs a binary reduction over all elements in
-        the two provided input ndarrays.
+        List of dimensions over which to perform a reduction. If not provided,
+        the function performs a reduction over all elements in the input
+        ndarrays.
 
     options.keepdims: boolean (optional)
         Boolean indicating whether the reduced dimensions should be included in
@@ -93,7 +93,7 @@
     Examples
     --------
     > var dts = [ 'float64', 'float32', 'generic' ];
-    > var p = { 'output': 'same', 'casting': 'none' };
+    > var p = { 'output': 'promoted', 'casting': 'promoted' };
     > var t = { 'default': {{alias:@stdlib/blas/base/ndarray/gdot}} };
     > var f = new {{alias}}( t, [ dts, dts ], dts, p );
     > var xbuf = [ -1.0, 2.0, -3.0, -4.0 ];
@@ -111,8 +111,8 @@
 
 
 {{alias}}.prototype.assign( x, y[, ...args], out[, options] )
-    Performs a binary reduction on two provided input ndarrays and assigns
-    results to a provided output ndarray.
+    Performs a reduction on two provided input ndarrays and assigns results to a
+    provided output ndarray.
 
     Parameters
     ----------
@@ -132,9 +132,9 @@
         Function options.
 
     options.dims: Array<integer> (optional)
-        List of dimensions over which to perform a binary reduction. If not
-        provided, the function performs a binary reduction over all elements
-        in the two provided input ndarrays.
+        List of dimensions over which to perform a reduction. If not provided,
+        the function performs a reduction over all elements in the input
+        ndarrays.
 
     Returns
     -------
@@ -144,9 +144,9 @@
     Examples
     --------
     > var dts = [ 'float64', 'float32', 'generic' ];
-    > var p = { 'output': 'same', 'casting': 'none' };
+    > var p = { 'output': 'promoted', 'casting': 'promoted' };
     > var t = { 'default': {{alias:@stdlib/blas/base/ndarray/gdot}} };
-    > var f = new {{alias}}( t, [ dts, dts ], dts, 'same' );
+    > var f = new {{alias}}( t, [ dts, dts ], dts, p );
     > var xbuf = [ -1.0, 2.0, -3.0, -4.0 ];
     > var ybuf = [ -1.0, 2.0, -3.0, -4.0 ];
     > var dt = 'generic';