refactor: apply suggestions from code review

---
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: passed
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: na
  - task: lint_javascript_tests
    status: passed
  - task: lint_javascript_benchmarks
    status: na
  - 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/lib/assign.js

@@ -37,10 +37,9 @@ var format = require( '@stdlib/string/format' );
 * @param {...*} values - scalar values
 * @param {ndarray} out - output ndarray
 * @throws {Error} must provide at least three arguments
-* @throws {TypeError} first argument must be an ndarray
-* @throws {TypeError} first argument must be a one-dimensional ndarray
-* @throws {TypeError} output argument must be an ndarray
-* @throws {TypeError} output argument must be a one-dimensional ndarray
+* @throws {TypeError} first argument must a be one-dimensional ndarray
+* @throws {Error} must be provided at least three arguments
+* @throws {TypeError} output argument must a be one-dimensional ndarray
 * @returns {ndarray} output ndarray
 *
 * @example
@@ -67,19 +66,16 @@ function assign( x ) {
 	var out;
 	var i;
 
-	if ( !isndarrayLike( x ) ) {
-		throw new TypeError( format( 'invalid argument. First argument must be an ndarray. Value: `%s`.', x ) );
-	}
-	if ( ndims( x ) !== 1 ) {
+	if ( !isndarrayLike( x ) || ndims( x ) !== 1 ) {
 		throw new TypeError( format( 'invalid argument. First argument must be a one-dimensional ndarray. Value: `%s`.', x ) );
 	}
 	nargs = arguments.length;
-	out = arguments[ nargs - 1 ];
-	if ( !isndarrayLike( out ) ) {
-		throw new TypeError( format( 'invalid argument. Output argument must be an ndarray. Value: `%s`.', out ) );
+	if ( nargs < 3 ) {
+		throw new Error( format( 'invalid argument. The function must be provided at least three arguments. Value: `%s`.', nargs ) );
 	}
-	if ( ndims( out ) !== 1 ) {
-		throw new TypeError( format( 'invalid argument. Output argument must be a one-dimensional ndarray. Value: `%s`.', x ) );
+	out = arguments[ nargs - 1 ];
+	if ( !isndarrayLike( out ) || ndims( out ) !== 1 ) {
+		throw new TypeError( format( 'invalid argument. Output argument must be a one-dimensional ndarray. Value: `%s`.', out ) );
 	}
 	dtype = getDType( x );
 	args = [ x ];

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

@@ -35,8 +35,8 @@ var format = require( '@stdlib/string/format' );
 *
 * @param {ndarray} x - input ndarray
 * @param {...*} values - scalar values
-* @throws {TypeError} first argument must be an ndarray
-* @throws {TypeError} first argument must be a one-dimensional ndarray
+* @throws {TypeError} first argument must a be one-dimensional ndarray
+* @throws {Error} must be provided at least two arguments
 * @returns {ndarray} output ndarray
 *
 * @example
@@ -57,13 +57,13 @@ function push( x ) {
 	var args;
 	var i;
 
-	if ( !isndarrayLike( x ) ) {
-		throw new TypeError( format( 'invalid argument. First argument must be an ndarray. Value: `%s`.', x ) );
-	}
-	if ( ndims( x ) !== 1 ) {
+	if ( !isndarrayLike( x ) | ndims( x ) !== 1 ) {
 		throw new TypeError( format( 'invalid argument. First argument must be a one-dimensional ndarray. Value: `%s`.', x ) );
 	}
 	nargs = arguments.length;
+	if ( nargs < 2 ) {
+		throw new Error( format( 'invalid argument. The function must be provided at least two arguments. Value: `%s`.', nargs ) );
+	}
 	dtype = getDType( x );
 	args = [ x ];
 	for ( i = 1; i < nargs; i++ ) {

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

@@ -150,7 +150,7 @@ tape( 'the function throws an error if provided an output argument which is an n
 	}
 });
 
-tape( 'the function appends the provided provided scalar values and assigns results to an output ndarray (row-major, contiguous)', function test( t ) {
+tape( 'the function appends the provided provided scalar values to the input ndarray and assigns results to an output ndarray (row-major, contiguous)', function test( t ) {
 	var expected;
 	var actual;
 	var xbuf;
@@ -178,7 +178,7 @@ tape( 'the function appends the provided provided scalar values and assigns resu
 	t.end();
 });
 
-tape( 'the function appends the provided provided scalar values and assigns results to an output ndarray (column-major, contiguous)', function test( t ) {
+tape( 'the function appends the provided provided scalar values to the input ndarray and assigns results to an output ndarray (column-major, contiguous)', function test( t ) {
 	var expected;
 	var actual;
 	var xbuf;
@@ -206,7 +206,7 @@ tape( 'the function appends the provided provided scalar values and assigns resu
 	t.end();
 });
 
-tape( 'the function returns a one-dimensional ndarray formed by appending provided scalar values (row-major, non-contiguous)', function test( t ) {
+tape( 'the function appends the provided provided scalar values to the input ndarray and assigns results to an output ndarray (row-major, non-contiguous)', function test( t ) {
 	var expected;
 	var actual;
 	var xbuf;
@@ -234,7 +234,7 @@ tape( 'the function returns a one-dimensional ndarray formed by appending provid
 	t.end();
 });
 
-tape( 'the function returns a one-dimensional ndarray formed by appending provided scalar values (column-major, non-contiguous)', function test( t ) {
+tape( 'the function appends the provided provided scalar values to the input ndarray and assigns results to an output ndarray (column-major, non-contiguous)', function test( t ) {
 	var expected;
 	var actual;
 	var xbuf;