fix: 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: 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/base/unflatten/benchmark/benchmark.js

@@ -32,7 +32,7 @@ var unflatten = require( './../lib' );
 
 // MAIN //
 
-bench( format( '%s::base_ndarray, 2d, row-major', pkg ), function benchmark( b ) {
+bench( format( '%s:ctor=base,ndims=2,order=row-major', pkg ), function benchmark( b ) {
 	var strides;
 	var values;
 	var buffer;
@@ -75,7 +75,7 @@ bench( format( '%s::base_ndarray, 2d, row-major', pkg ), function benchmark( b )
 	b.end();
 });
 
-bench( format( '%s::ndarray, 2d, row-major', pkg ), function benchmark( b ) {
+bench( format( '%s:ctor=ndarray,ndims=2,order=row-major', pkg ), function benchmark( b ) {
 	var strides;
 	var values;
 	var buffer;
@@ -118,7 +118,7 @@ bench( format( '%s::ndarray, 2d, row-major', pkg ), function benchmark( b ) {
 	b.end();
 });
 
-bench( format( '%s::base_ndarray, 2d, column-major', pkg ), function benchmark( b ) {
+bench( format( '%s:ctor=base,ndims=2,order=column-major', pkg ), function benchmark( b ) {
 	var strides;
 	var values;
 	var buffer;
@@ -161,7 +161,7 @@ bench( format( '%s::base_ndarray, 2d, column-major', pkg ), function benchmark(
 	b.end();
 });
 
-bench( format( '%s::ndarray, 2d, column-major', pkg ), function benchmark( b ) {
+bench( format( '%s:ctor=ndarray,ndims=2,order=column-major', pkg ), function benchmark( b ) {
 	var strides;
 	var values;
 	var buffer;

lib/node_modules/@stdlib/ndarray/base/unflatten/lib/main.js

@@ -20,7 +20,8 @@
 
 // MODULES //
 
-var isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major-string' );
+var isRowMajorString = require( '@stdlib/ndarray/base/assert/is-row-major-string' );
+var strides2order = require( '@stdlib/ndarray/base/strides2order' );
 var normalizeIndex = require( '@stdlib/ndarray/base/normalize-index' );
 var getDType = require( '@stdlib/ndarray/base/dtype' );
 var getShape = require( '@stdlib/ndarray/base/shape' );
@@ -61,16 +62,23 @@ function unflatten( x, dim, sizes, writable ) {
 	var sh;
 	var st;
 	var S2;
+	var o;
 	var d;
 	var i;
 
 	sh = getShape( x, false );
 	st = getStrides( x, false );
 	ord = getOrder( x );
-	isrm = isRowMajor( ord );
+	o = strides2order( st );
+	if ( o === 0 || o === 3 ) {
+		// Fallback to stated layout when unable to infer the underlying physical layout:
+		isrm = isRowMajorString( ord );
+	} else {
+		isrm = ( o === 1 );
+	}
 
 	// Normalize the dimension to be unflattened:
-	d = normalizeIndex( dim, sh.length - 1 );
+	d = normalizeIndex( dim, sh.length-1 );
 
 	// Compute the output shape:
 	shape = unflattenShape( sh, d, sizes );
@@ -90,13 +98,13 @@ function unflatten( x, dim, sizes, writable ) {
 	// Compute strides for the unflattened dimensions...
 	if ( isrm ) {
 		strides[ d+S2-1 ] = st[ d ];
-		for ( i = S2-2; i >= 0; i-- ) {
-			strides[ d+i ] = strides[ d+i+1 ] * sizes[ i+1 ];
+		for ( i = S2-1; i > 0; i-- ) {
+			strides[ d+i-1 ] = strides[ d+i ] * sizes[ i ];
 		}
 	} else {
 		strides[ d ] = st[ d ];
-		for ( i = 1; i < S2; i++ ) {
-			strides[ d+i ] = strides[ d+i-1 ] * sizes[ i-1 ];
+		for ( i = 0; i < S2-1; i++ ) {
+			strides[ d+i+1 ] = strides[ d+i ] * sizes[ i ];
 		}
 	}
 	return new x.constructor( getDType( x ), getData( x ), shape, strides, getOffset( x ), ord, { // eslint-disable-line max-len