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lib/node_modules/@stdlib/lapack/base/zlaswp/README.md

@@ -18,8 +18,6 @@ limitations under the License.
 
 -->
 
-<!-- lint disable max-len -->
-
 # zlaswp
 
 > Perform a series of row interchanges on an input matrix.
@@ -36,6 +34,8 @@ var zlaswp = require( '@stdlib/lapack/base/zlaswp' );
 
 Performs a series of row interchanges on an input matrix `A` using pivot indices stored in `IPIV`.
 
+<!-- eslint-disable max-len -->
+
 ```javascript
 var Int32Array = require( '@stdlib/array/int32' );
 var Complex128Array = require( '@stdlib/array/complex128' );
@@ -60,6 +60,8 @@ The function has the following parameters:
 
 The sign of the increment parameter `incx` determines the order in which pivots are applied. For example, to apply pivots in reverse order,
 
+<!-- eslint-disable max-len -->
+
 ```javascript
 var Int32Array = require( '@stdlib/array/int32' );
 var Complex128Array = require( '@stdlib/array/complex128' );
@@ -73,6 +75,8 @@ zlaswp( 'row-major', 2, A, 2, 0, 2, IPIV, -1 );
 
 To perform strided access over `IPIV`, provide an `abs(incx)` value greater than one. For example, to access every other element in `IPIV`,
 
+<!-- eslint-disable max-len -->
+
 ```javascript
 var Int32Array = require( '@stdlib/array/int32' );
 var Complex128Array = require( '@stdlib/array/complex128' );
@@ -86,7 +90,7 @@ zlaswp( 'row-major', 2, A, 2, 0, 2, IPIV, 2 );
 
 Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
 
-<!-- eslint-disable stdlib/capitalized-comments -->
+<!-- eslint-disable stdlib/capitalized-comments, max-len -->
 
 ```javascript
 var Int32Array = require( '@stdlib/array/int32' );
@@ -108,6 +112,8 @@ zlaswp( 'row-major', 2, A1, 2, 0, 2, IPIV1, 1 );
 
 Performs a series of row interchanges on the matrix `A` using pivot indices stored in `IPIV` and alternative indexing semantics.
 
+<!-- eslint-disable max-len -->
+
 ```javascript
 var Int32Array = require( '@stdlib/array/int32' );
 var Complex128Array = require( '@stdlib/array/complex128' );
@@ -168,6 +174,8 @@ zlaswp.ndarray( 2, A, 2, 1, 2, 0, 2, 1, IPIV, 1, 2 );
 
 ## Examples
 
+<!-- eslint-disable max-len -->
+
 <!-- eslint no-undef: "error" -->
 
 ```javascript
@@ -183,7 +191,7 @@ var offset = 0;
 var order = 'column-major';
 
 // Create a matrix stored in linear memory:
-var A = new Complex128Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0 ] ); // eslint-disable-line max-len
+var A = new Complex128Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0 ] );
 console.log( ndarray2array( A, shape, strides, offset, order ) );
 
 // Define a vector of pivot indices:

lib/node_modules/@stdlib/lapack/base/zlaswp/docs/repl.txt

@@ -44,7 +44,8 @@
     Examples
     --------
     > var IPIV = new {{alias:@stdlib/array/int32}}( [ 1, 1 ] );
-    > var A = new {{alias:@stdlib/array/complex128}}( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+    > var v = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ];
+    > var A = new {{alias:@stdlib/array/complex128}}( v );
     > var ord = 'row-major';
     > {{alias}}( ord, 2, A, 2, 0, 1, IPIV, 1 )
     <Complex128Array>[ 5.0, 6.0, 7.0, 8.0, 1.0, 2.0, 3.0, 4.0 ]
@@ -111,7 +112,8 @@
     Examples
     --------
     > var IPIV = new {{alias:@stdlib/array/int32}}( [ 1, 1 ] );
-    > var A = new {{alias:@stdlib/array/complex128}}( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+    > var v = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ];
+    > var A = new {{alias:@stdlib/array/complex128}}( v );
     > {{alias}}.ndarray( 2, A, 2, 1, 0, 0, 1, 1, IPIV, 1, 0 )
     <Complex128Array>[ 5.0, 6.0, 7.0, 8.0, 1.0, 2.0, 3.0, 4.0 ]
 

lib/node_modules/@stdlib/lapack/base/zlaswp/docs/types/index.d.ts

@@ -23,7 +23,6 @@
 import { Layout } from '@stdlib/types/blas';
 import { Complex128Array } from '@stdlib/types/array';
 
-
 /**
 * Interface describing `zlaswp`.
 */

lib/node_modules/@stdlib/lapack/base/zlaswp/examples/index.js

@@ -30,7 +30,7 @@ var offset = 0;
 var order = 'column-major';
 
 // Create a matrix stored in linear memory:
-var A = new Complex128Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0 ] ); // eslint-disable-line max-len
+var A = new Complex128Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0 ] ); // eslint-disable-line max-len
 console.log( ndarray2array( A, shape, strides, offset, order ) );
 
 // Define a vector of pivot indices:

lib/node_modules/@stdlib/lapack/base/zlaswp/test/fixtures/row_major_k1.json

@@ -35,7 +35,7 @@
 
   "A_out_mat": [
     [ 21.0, 22.0, 23.0, 24.0 ],
-    [ 17.0, 18.0, 19.0,20.0  ],
+    [ 17.0, 18.0, 19.0, 20.0 ],
     [ 13.0, 14.0, 15.0, 16.0 ],
     [ 9.0, 10.0,  11.0, 12.0 ],
     [ 5.0, 6.0,   7.0, 8.0   ],

lib/node_modules/@stdlib/lapack/base/zlaswp/test/test.ndarray.js

@@ -289,7 +289,7 @@ tape( 'the function efficiently handles large datasets (column-major)', function
 	var expectedBuf;
 	var expected;
 	var IPIV;
-	var Abuf;
+	var abuf;
 	var buf;
 	var mat;
 	var out;
@@ -309,11 +309,10 @@ tape( 'the function efficiently handles large datasets (column-major)', function
 
 	// Define an input matrix in linear storage:
 	A = new Complex128Array( buf );
-
-	Abuf = reinterpret( A, 0 );
+	abuf = reinterpret( A, 0 );
 
 	// Convert to a nested array:
-	mat = ndarray2array( Abuf, [ sh[ 0 ], sh[ 1 ], 2 ], [ 2 * st[0], 2 * st[1], 1 ], o, ord );
+	mat = ndarray2array( abuf, [ sh[0], sh[1], 2 ], [ 2*st[0], 2*st[1], 1 ], o, ord );
 
 	// Create an array of pivot indices:
 	IPIV = new Int32Array( [ 9999, 9999, 9999, 1, 0 ] );
@@ -548,7 +547,7 @@ tape( 'the function efficiently handles large datasets (row-major)', function te
 	var expectedMat;
 	var expected;
 	var IPIV;
-	var Abuf;
+	var abuf;
 	var buf;
 	var mat;
 	var out;
@@ -568,11 +567,10 @@ tape( 'the function efficiently handles large datasets (row-major)', function te
 
 	// Define an input matrix in linear storage:
 	A = new Complex128Array( buf );
-
-	Abuf = reinterpret( A, 0 );
+	abuf = reinterpret( A, 0 );
 
 	// Convert to a nested array:
-	mat = ndarray2array( Abuf, [ sh[ 0 ], sh[ 1 ], 2 ], [ 2 * st[0], 2 * st[1], 1 ], o, ord );
+	mat = ndarray2array( abuf, [ sh[0], sh[1], 2 ], [ 2*st[0], 2*st[1], 1 ], o, ord );
 
 	// Create an array of pivot indices:
 	IPIV = new Int32Array( [ 9999, 9999, 9999, 1, 0 ] );

lib/node_modules/@stdlib/lapack/base/zlaswp/test/test.zlaswp.js

@@ -277,7 +277,7 @@ tape( 'the function efficiently handles large datasets (column-major)', function
 	var expectedBuf;
 	var expected;
 	var IPIV;
-	var Abuf;
+	var abuf;
 	var buf;
 	var mat;
 	var out;
@@ -297,11 +297,10 @@ tape( 'the function efficiently handles large datasets (column-major)', function
 
 	// Define an input matrix in linear storage:
 	A = new Complex128Array( buf );
-
-	Abuf = reinterpret( A, 0 );
+	abuf = reinterpret( A, 0 );
 
 	// Convert to a nested array:
-	mat = ndarray2array( Abuf, [ sh[ 0 ], sh[ 1 ], 2 ], [ 2 * st[0], 2 * st[1], 1 ], o, ord );
+	mat = ndarray2array( abuf, [ sh[0], sh[1], 2 ], [ 2*st[0], 2*st[1], 1 ], o, ord );
 
 	// Create an array of pivot indices:
 	IPIV = new Int32Array( [ 9999, 9999, 9999, 1, 0 ] );
@@ -473,7 +472,7 @@ tape( 'the function efficiently handles large datasets (row-major)', function te
 	var expectedMat;
 	var expected;
 	var IPIV;
-	var Abuf;
+	var abuf;
 	var buf;
 	var mat;
 	var out;
@@ -493,11 +492,10 @@ tape( 'the function efficiently handles large datasets (row-major)', function te
 
 	// Define an input matrix in linear storage:
 	A = new Complex128Array( buf );
-
-	Abuf = reinterpret( A, 0 );
+	abuf = reinterpret( A, 0 );
 
 	// Convert to a nested array:
-	mat = ndarray2array( Abuf, [ sh[ 0 ], sh[ 1 ], 2 ], [ 2 * st[0], 2 * st[1], 1 ], o, ord );
+	mat = ndarray2array( abuf, [ sh[0], sh[1], 2 ], [ 2*st[0], 2*st[1], 1 ], o, ord );
 
 	// Create an array of pivot indices:
 	IPIV = new Int32Array( [ 9999, 9999, 9999, 1, 0 ] );