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: passed
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: passed
  - task: lint_javascript_src
    status: passed
  - task: lint_javascript_cli
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  - task: lint_javascript_examples
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  - task: lint_javascript_tests
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  - task: lint_javascript_benchmarks
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  - task: lint_python
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  - task: lint_c_src
    status: missing_dependencies
  - task: lint_c_examples
    status: missing_dependencies
  - task: lint_c_benchmarks
    status: missing_dependencies
  - task: lint_c_tests_fixtures
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  - task: lint_typescript_declarations
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  - task: lint_typescript_tests
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---

Author: headlessNode

lib/node_modules/@stdlib/blas/ext/base/dcartesian-square/README.md

@@ -30,7 +30,7 @@ limitations under the License.
 var dcartesianSquare = require( '@stdlib/blas/ext/base/dcartesian-square' );
 ```
 
-#### dcartesianSquare( N, x, strideX, out, strideOut1, strideOut2 )
+#### dcartesianSquare( N, x, strideX, out, LDO )
 
 Computes the Cartesian square for a double-precision floating-point strided array.
 
@@ -40,7 +40,7 @@ var Float64Array = require( '@stdlib/array/float64' );
 var x = new Float64Array( [ 1.0, 2.0 ] );
 var out = new Float64Array( 8 );
 
-dcartesianSquare( x.length, x, 1, out, 2, 1 );
+dcartesianSquare( x.length, x, 1, out, 2 );
 // out => <Float64Array>[ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ]
 ```
 
@@ -50,8 +50,7 @@ The function has the following parameters:
 -   **x**: input [`Float64Array`][@stdlib/array/float64].
 -   **strideX**: stride length for `x`.
 -   **out**: output [`Float64Array`][@stdlib/array/float64].
--   **strideOut1**: stride length between consecutive output pairs.
--   **strideOut2**: stride length between the two elements of each output pair.
+-   **LDO**: stride of the leading dimension of `out`.
 
 The `N` and stride parameters determine which elements in the strided arrays are accessed at runtime. For example, to compute the Cartesian square of every other element:
 
@@ -61,7 +60,7 @@ var Float64Array = require( '@stdlib/array/float64' );
 var x = new Float64Array( [ 1.0, 0.0, 2.0, 0.0 ] );
 var out = new Float64Array( 8 );
 
-dcartesianSquare( 2, x, 2, out, 2, 1 );
+dcartesianSquare( 2, x, 2, out, 2 );
 // out => <Float64Array>[ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ]
 ```
 
@@ -78,7 +77,7 @@ var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd
 
 // Compute the Cartesian square of the first two elements of the view:
 var out = new Float64Array( 8 );
-dcartesianSquare( 2, x1, 1, out, 2, 1 );
+dcartesianSquare( 2, x1, 1, out, 2 );
 // out => <Float64Array>[ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ]
 ```
 
@@ -101,6 +100,8 @@ dcartesianSquare.ndarray( x.length, x, 1, 0, out, 2, 1, 0 );
 The function has the following additional parameters:
 
 -   **offsetX**: starting index for `x`.
+-   **strideOut1**: stride length of the first dimension of `out`.
+-   **strideOut2**: stride length of the second dimension of `out`.
 -   **offsetOut**: starting index for `out`.
 
 While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on starting indices. For example, to access only the last two elements:
@@ -148,7 +149,7 @@ var x = discreteUniform( N, 1, 10, {
 console.log( x );
 
 var out = new Float64Array( N * N * 2 );
-dcartesianSquare( N, x, 1, out, 2, 1 );
+dcartesianSquare( N, x, 1, out, 2 );
 console.log( out );
 ```
 
@@ -182,15 +183,15 @@ console.log( out );
 #include "stdlib/blas/ext/base/dcartesiansquare.h"
 ```
 
-#### stdlib_strided_dcartesian_square( N, \*X, strideX, \*Out, strideOut1, strideOut2 )
+#### stdlib_strided_dcartesian_square( N, \*X, strideX, \*Out, LDO )
 
 Computes the Cartesian square for a double-precision floating-point strided array.
 
 ```c
 const double x[] = { 1.0, 2.0, 3.0, 4.0 };
 double out[ 32 ];
 
-stdlib_strided_dcartesian_square( 4, x, 1, out, 2, 1 );
+stdlib_strided_dcartesian_square( 4, x, 1, out, 2 );
 ```
 
 The function accepts the following arguments:
@@ -199,11 +200,10 @@ The function accepts the following arguments:
 -   **X**: `[in] double*` input array.
 -   **strideX**: `[in] CBLAS_INT` stride length for `X`.
 -   **Out**: `[out] double*` output array.
--   **strideOut1**: `[in] CBLAS_INT` stride length between consecutive output pairs.
--   **strideOut2**: `[in] CBLAS_INT` stride length between elements of each output pair.
+-   **LDO**: `[in] CBLAS_INT` stride of the leading dimension of `Out`.
 
 ```c
-void stdlib_strided_dcartesian_square( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, double *Out, const CBLAS_INT strideOut1, const CBLAS_INT strideOut2 );
+void stdlib_strided_dcartesian_square( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, double *Out, const CBLAS_INT LDO );
 ```
 
 <!-- lint disable maximum-heading-length -->
@@ -226,8 +226,8 @@ The function accepts the following arguments:
 -   **strideX**: `[in] CBLAS_INT` stride length for `X`.
 -   **offsetX**: `[in] CBLAS_INT` starting index for `X`.
 -   **Out**: `[out] double*` output array.
--   **strideOut1**: `[in] CBLAS_INT` stride length between consecutive output pairs.
--   **strideOut2**: `[in] CBLAS_INT` stride length between elements of each output pair.
+-   **strideOut1**: `[in] CBLAS_INT` stride length of the first dimension of `Out`.
+-   **strideOut2**: `[in] CBLAS_INT` stride length of the second dimension of `Out`.
 -   **offsetOut**: `[in] CBLAS_INT` starting index for `Out`.
 
 ```c
@@ -268,11 +268,10 @@ int main( void ) {
 
     // Specify strides:
     const int strideX = 1;
-    const int strideOut1 = 2;
-    const int strideOut2 = 1;
+    const int LDO = 2;
 
     // Compute the Cartesian square:
-    stdlib_strided_dcartesian_square( N, x, strideX, out, strideOut1, strideOut2 );
+    stdlib_strided_dcartesian_square( N, x, strideX, out, LDO );
 
     // Print the result:
     for ( int i = 0; i < N*N; i++ ) {

lib/node_modules/@stdlib/blas/ext/base/dcartesian-square/benchmark/benchmark.js

@@ -66,7 +66,7 @@ function createBenchmark( len ) {
 
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
-			y = dcartesianSquare( x.length, x, 1, out, 2, 1 );
+			y = dcartesianSquare( x.length, x, 1, out, 2 );
 			if ( isnan( y[ 0 ] ) ) {
 				b.fail( 'should not return NaN' );
 			}

lib/node_modules/@stdlib/blas/ext/base/dcartesian-square/benchmark/benchmark.native.js

@@ -71,7 +71,7 @@ function createBenchmark( len ) {
 
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
-			y = dcartesianSquare( x.length, x, 1, out, 2, 1 );
+			y = dcartesianSquare( x.length, x, 1, out, 2 );
 			if ( isnan( y[ 0 ] ) ) {
 				b.fail( 'should not return NaN' );
 			}

lib/node_modules/@stdlib/blas/ext/base/dcartesian-square/benchmark/c/benchmark.length.c

@@ -108,7 +108,7 @@ static double benchmark1( int iterations, int len ) {
 	}
 	t = tic();
 	for ( i = 0; i < iterations; i++ ) {
-		stdlib_strided_dcartesian_square( len, x, 1, out, 2, 1 );
+		stdlib_strided_dcartesian_square( len, x, 1, out, 2 );
 		if ( out[ 0 ] != out[ 0 ] ) {
 			printf( "should not return NaN\n" );
 			break;

lib/node_modules/@stdlib/blas/ext/base/dcartesian-square/docs/repl.txt

@@ -1,5 +1,5 @@
 
-{{alias}}( N, x, strideX, out, strideOut1, strideOut2 )
+{{alias}}( N, x, strideX, out, LDO )
     Computes the Cartesian square for a double-precision floating-point strided
     array.
 
@@ -22,11 +22,8 @@
     out: Float64Array
         Output array.
 
-    strideOut1: integer
-        Stride length between consecutive output pairs.
-
-    strideOut2: integer
-        Stride length between elements of each output pair.
+    LDO: integer
+        Stride of the leading dimension of `out`.
 
     Returns
     -------
@@ -38,20 +35,20 @@
     // Standard Usage:
     > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0 ] );
     > var out = new {{alias:@stdlib/array/float64}}( 8 );
-    > {{alias}}( x.length, x, 1, out, 2, 1 )
+    > {{alias}}( x.length, x, 1, out, 2 )
     <Float64Array>[ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ]
 
     // Using `N` and stride parameters:
     > x = new {{alias:@stdlib/array/float64}}( [ 1.0, 0.0, 2.0, 0.0 ] );
     > out = new {{alias:@stdlib/array/float64}}( 8 );
-    > {{alias}}( 2, x, 2, out, 2, 1 )
+    > {{alias}}( 2, x, 2, out, 2 )
     <Float64Array>[ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ]
 
     // Using view offsets:
     > var x0 = new {{alias:@stdlib/array/float64}}( [ 0.0, 1.0, 2.0, 3.0 ] );
     > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
     > out = new {{alias:@stdlib/array/float64}}( 8 );
-    > {{alias}}( 2, x1, 1, out, 2, 1 )
+    > {{alias}}( 2, x1, 1, out, 2 )
     <Float64Array>[ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ]
 
 
@@ -81,10 +78,10 @@
         Output array.
 
     strideOut1: integer
-        Stride length between consecutive output pairs.
+        Stride length of the first dimension of `out`.
 
     strideOut2: integer
-        Stride length between elements of each output pair.
+        Stride length of the second dimension of `out`.
 
     offsetOut: integer
         Starting index.

lib/node_modules/@stdlib/blas/ext/base/dcartesian-square/docs/types/index.d.ts

@@ -29,8 +29,7 @@ interface Routine {
 	* @param x - input array
 	* @param strideX - stride length
 	* @param out - output array
-	* @param strideOut1 - stride length between consecutive output pairs
-	* @param strideOut2 - stride length between elements of each output pair
+	* @param LDO - stride of the leading dimension of `out`
 	* @returns output array
 	*
 	* @example
@@ -39,10 +38,10 @@ interface Routine {
 	* var x = new Float64Array( [ 1.0, 2.0 ] );
 	* var out = new Float64Array( 8 );
 	*
-	* dcartesianSquare( x.length, x, 1, out, 2, 1 );
+	* dcartesianSquare( x.length, x, 1, out, 2 );
 	* // out => <Float64Array>[ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ]
 	*/
-	( N: number, x: Float64Array, strideX: number, out: Float64Array, strideOut1: number, strideOut2: number ): Float64Array;
+	( N: number, x: Float64Array, strideX: number, out: Float64Array, LDO: number ): Float64Array;
 
 	/**
 	* Computes the Cartesian square for a double-precision floating-point strided array using alternative indexing semantics.
@@ -52,8 +51,8 @@ interface Routine {
 	* @param strideX - stride length
 	* @param offsetX - starting index
 	* @param out - output array
-	* @param strideOut1 - stride length between consecutive output pairs
-	* @param strideOut2 - stride length between elements of each output pair
+	* @param strideOut1 - stride length of the first dimension of `out`
+	* @param strideOut2 - stride length of the second dimension of `out`
 	* @param offsetOut - starting index
 	* @returns output array
 	*
@@ -76,8 +75,7 @@ interface Routine {
 * @param x - input array
 * @param strideX - stride length
 * @param out - output array
-* @param strideOut1 - stride length between consecutive output pairs
-* @param strideOut2 - stride length between elements of each output pair
+* @param LDO - stride of the leading dimension of `out`
 * @returns output array
 *
 * @example
@@ -86,7 +84,7 @@ interface Routine {
 * var x = new Float64Array( [ 1.0, 2.0, 3.0 ] );
 * var out = new Float64Array( 18 );
 *
-* dcartesianSquare( x.length, x, 1, out, 2, 1 );
+* dcartesianSquare( x.length, x, 1, out, 2 );
 * // out => <Float64Array>[ 1.0, 1.0, 1.0, 2.0, 1.0, 3.0, 2.0, 1.0, 2.0, 2.0, 2.0, 3.0, 3.0, 1.0, 3.0, 2.0, 3.0, 3.0 ]
 *
 * @example