bench: refactor benchmarks

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown
    status: na
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: na
  - task: lint_javascript_src
    status: na
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: na
  - task: lint_javascript_tests
    status: na
  - task: lint_javascript_benchmarks
    status: passed
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: na
  - task: lint_c_examples
    status: na
  - task: lint_c_benchmarks
    status: na
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: passed
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---

Author: headlessNode

lib/node_modules/@stdlib/ndarray/push/benchmark/benchmark.assign.js

@@ -23,14 +23,42 @@
 var bench = require( '@stdlib/bench' );
 var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
 var zeros = require( '@stdlib/ndarray/zeros' );
+var format = require( '@stdlib/string/format' );
 var pkg = require( './../package.json' ).name;
 var push = require( './../lib/assign.js' );
 
 
 // MAIN //
 
-bench( pkg, function benchmark( b ) {
-	var values;
+bench( format( '%s::two scalar values', pkg ), function benchmark( b ) {
+	var opts;
+	var out;
+	var v;
+	var x;
+	var i;
+
+	opts = {
+		'dtype': 'float64'
+	};
+	x = zeros( [ 3 ], opts );
+	out = zeros( [ 5 ], opts );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		v = push( x, 1.0, 2.0, out );
+		if ( typeof v !== 'object' ) {
+			b.fail( 'should return an ndarray' );
+		}
+	}
+	b.toc();
+	if ( !isndarrayLike( v ) ) {
+		b.fail( 'should return an ndarray' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
+
+bench( format( '%s::four scalar values', pkg ), function benchmark( b ) {
 	var opts;
 	var out;
 	var v;
@@ -41,12 +69,39 @@ bench( pkg, function benchmark( b ) {
 		'dtype': 'float64'
 	};
 	x = zeros( [ 3 ], opts );
-	values = [ 1.0, 2.0, 3.0, 4.0];
 	out = zeros( [ 7 ], opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		v = push( x, values, out );
+		v = push( x, 1.0, 2.0, 3.0, 4.0, out );
+		if ( typeof v !== 'object' ) {
+			b.fail( 'should return an ndarray' );
+		}
+	}
+	b.toc();
+	if ( !isndarrayLike( v ) ) {
+		b.fail( 'should return an ndarray' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
+
+bench( format( '%s::six scalar values', pkg ), function benchmark( b ) {
+	var opts;
+	var out;
+	var v;
+	var x;
+	var i;
+
+	opts = {
+		'dtype': 'float64'
+	};
+	x = zeros( [ 3 ], opts );
+	out = zeros( [ 9 ], opts );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		v = push( x, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, out );
 		if ( typeof v !== 'object' ) {
 			b.fail( 'should return an ndarray' );
 		}

lib/node_modules/@stdlib/ndarray/push/benchmark/benchmark.js

@@ -23,14 +23,14 @@
 var bench = require( '@stdlib/bench' );
 var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
 var zeros = require( '@stdlib/ndarray/zeros' );
+var format = require( '@stdlib/string/format' );
 var pkg = require( './../package.json' ).name;
 var push = require( './../lib' );
 
 
 // MAIN //
 
-bench( pkg, function benchmark( b ) {
-	var values;
+bench( format( '%s::two scalar values', pkg ), function benchmark( b ) {
 	var opts;
 	var v;
 	var x;
@@ -40,11 +40,62 @@ bench( pkg, function benchmark( b ) {
 		'dtype': 'float64'
 	};
 	x = zeros( [ 3 ], opts );
-	values = [ 1.0, 2.0, 3.0, 4.0 ];
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		v = push( x, values );
+		v = push( x, 1.0, 2.0 );
+		if ( typeof v !== 'object' ) {
+			b.fail( 'should return an ndarray' );
+		}
+	}
+	b.toc();
+	if ( !isndarrayLike( v ) ) {
+		b.fail( 'should return an ndarray' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
+
+bench( format( '%s::four scalar values', pkg ), function benchmark( b ) {
+	var opts;
+	var v;
+	var x;
+	var i;
+
+	opts = {
+		'dtype': 'float64'
+	};
+	x = zeros( [ 3 ], opts );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		v = push( x, 1.0, 2.0, 3.0, 4.0 );
+		if ( typeof v !== 'object' ) {
+			b.fail( 'should return an ndarray' );
+		}
+	}
+	b.toc();
+	if ( !isndarrayLike( v ) ) {
+		b.fail( 'should return an ndarray' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
+
+bench( format( '%s::six scalar values', pkg ), function benchmark( b ) {
+	var opts;
+	var v;
+	var x;
+	var i;
+
+	opts = {
+		'dtype': 'float64'
+	};
+	x = zeros( [ 3 ], opts );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		v = push( x, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 );
 		if ( typeof v !== 'object' ) {
 			b.fail( 'should return an ndarray' );
 		}