diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/README.md b/lib/node_modules/@stdlib/lapack/base/dladiv/README.md
new file mode 100644
index 000000000000..232683264b88
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/README.md
@@ -0,0 +1,222 @@
+
+
+# dladiv
+
+> Divide two double-precision complex floating-point numbers in real arithmetic.
+
+
+
+## Usage
+
+```javascript
+var dladiv = require( '@stdlib/lapack/base/dladiv' );
+```
+
+#### dladiv( a, b, c, d, P, Q )
+
+Divides two double-precision complex floating-point numbers in real arithmetic.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var P = new Float64Array( 1 );
+var Q = new Float64Array( 1 );
+
+dladiv( -13.0, -1.0, -2.0, 1.0, P, Q );
+// P => [ 5.0 ]
+// Q => [ 3.0 ]
+```
+
+The function has the following parameters:
+
+- **a**: real component of numerator.
+- **b**: imaginary component of numerator.
+- **c**: real component of denominator.
+- **d**: imaginary component of denominator.
+- **P**: [`Float64Array`][mdn-float64array] containing a single element which is overwritten by the real part of the quotient.
+- **Q**: [`Float64Array`][mdn-float64array] containing a single element which is overwritten by the imaginary part of the quotient.
+
+#### dladiv.ndarray( a, b, c, d, P, offsetP, Q, offsetQ )
+
+Divides two double-precision complex floating-point numbers in real arithmetic using alternative indexing semantics.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var P = new Float64Array( 1 );
+var Q = new Float64Array( 1 );
+
+dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, 0, Q, 0 );
+// P => [ 5.0 ]
+// Q => [ 3.0 ]
+```
+
+The function has the following parameters:
+
+- **a**: real component of numerator.
+- **b**: imaginary component of numerator.
+- **c**: real component of denominator.
+- **d**: imaginary component of denominator.
+- **P**: [`Float64Array`][mdn-float64array] containing an element which is overwritten by the real part of the quotient.
+- **offsetP**: index of the element in `P`.
+- **Q**: [`Float64Array`][mdn-float64array] containing an element which is overwritten by the imaginary part of the quotient.
+- **offsetQ**: index of the element in `Q`.
+
+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,
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var P = new Float64Array( [ 0.0, 0.0, 0.0 ] );
+var Q = new Float64Array( [ 0.0, 0.0, 0.0 ] );
+
+dladiv.ndarray( 2.0, 1.0, 3.0, 4.0, P, 1, Q, 2 );
+// P => [ 0.0, 0.4, 0.0 ]
+// Q => [ 0.0, 0.0, -0.2 ]
+```
+
+
+
+
+
+
+
+## Notes
+
+- `dladiv()` corresponds to the [LAPACK][LAPACK] function [`dladiv`][lapack-dladiv].
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var dladiv = require( '@stdlib/lapack/base/dladiv' );
+
+var P = new Float64Array( 1 );
+var Q = new Float64Array( 1 );
+dladiv( 2.0, 1.0, 3.0, 4.0, P, Q );
+console.log( '(2+i)/(3+4i) =', P[ 0 ], '+', Q[ 0 ], 'i' );
+```
+
+
+
+
+
+
+
+* * *
+
+
+
+## C APIs
+
+
+
+
+
+
+
+
+
+
+
+### Usage
+
+```c
+TODO
+```
+
+#### TODO
+
+TODO.
+
+```c
+TODO
+```
+
+TODO
+
+```c
+TODO
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+### Examples
+
+```c
+TODO
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
+
+[lapack-dladiv]: https://www.netlib.org/lapack/explore-html/d5/db7/group__ladiv_gacbc97eb1922a833ffe257e1731bb0aaa.html
+
+[mdn-float64array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Float64Array
+
+[lapack]: https://www.netlib.org/lapack/explore-html/
+
+
+
+
diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/benchmark/benchmark.js b/lib/node_modules/@stdlib/lapack/base/dladiv/benchmark/benchmark.js
new file mode 100644
index 000000000000..1d0260987a18
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/benchmark/benchmark.js
@@ -0,0 +1,72 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var Float64Array = require( '@stdlib/array/float64' );
+var pkg = require( './../package.json' ).name;
+var dladiv = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'float64'
+};
+
+
+// MAIN //
+
+bench( pkg, function benchmark( b ) {
+ var re;
+ var im;
+ var N;
+ var P;
+ var Q;
+ var i;
+ var j;
+ var k;
+
+ N = 100;
+ re = uniform( N, -500.0, 500.0, options );
+ im = uniform( N, -500.0, 500.0, options );
+
+ P = new Float64Array( 1 );
+ Q = new Float64Array( 1 );
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ j = i % N;
+ k = ( i+1 ) % N;
+ dladiv( re[ j ], im[ j ], re[ k ], im[ k ], P, Q );
+ if ( isnan( P[ 0 ] ) || isnan( Q[ 0 ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( P[ 0 ] ) || isnan( Q[ 0 ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/lapack/base/dladiv/benchmark/benchmark.ndarray.js
new file mode 100644
index 000000000000..a14dcc571dfa
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/benchmark/benchmark.ndarray.js
@@ -0,0 +1,72 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var Float64Array = require( '@stdlib/array/float64' );
+var pkg = require( './../package.json' ).name;
+var dladiv = require( './../lib/ndarray.js' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'float64'
+};
+
+
+// MAIN //
+
+bench( pkg+':ndarray', function benchmark( b ) {
+ var re;
+ var im;
+ var N;
+ var P;
+ var Q;
+ var i;
+ var j;
+ var k;
+
+ N = 100;
+ re = uniform( N, -500.0, 500.0, options );
+ im = uniform( N, -500.0, 500.0, options );
+
+ P = new Float64Array( 1 );
+ Q = new Float64Array( 1 );
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ j = i % N;
+ k = ( i+1 ) % N;
+ dladiv( re[ j ], im[ j ], re[ k ], im[ k ], P, 0, Q, 0 );
+ if ( isnan( P[ 0 ] ) || isnan( Q[ 0 ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( P[ 0 ] ) || isnan( Q[ 0 ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/docs/repl.txt b/lib/node_modules/@stdlib/lapack/base/dladiv/docs/repl.txt
new file mode 100644
index 000000000000..9bb44d0146ad
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/docs/repl.txt
@@ -0,0 +1,91 @@
+
+{{alias}}( a, b, c, d, P, Q )
+ Divides two double-precision complex floating-point numbers in real
+ arithmetic.
+
+ Indexing is relative to the first index. To introduce an offset, use typed
+ array views.
+
+ Parameters
+ ----------
+ a: number
+ Real component of numerator.
+
+ b: number
+ Imaginary component of numerator.
+
+ c: number
+ Real component of denominator.
+
+ d: number
+ Imaginary component of denominator.
+
+ P: Float64Array
+ Array containing a single element which is overwritten by the real part
+ of the quotient.
+
+ Q: Float64Array
+ Array containing a single element which is overwritten by the imaginary
+ part of the quotient.
+
+ Examples
+ --------
+ > var {{alias:@stdlib/array/float64}} = require( '@stdlib/array/float64' );
+ > var P = new {{alias:@stdlib/array/float64}}( 1 );
+ > var Q = new {{alias:@stdlib/array/float64}}( 1 );
+ > {{alias}}( -13.0, -1.0, -2.0, 1.0, P, Q );
+ > P
+ [ 5.0 ]
+ > Q
+ [ 3.0 ]
+
+
+{{alias}}.ndarray( a, b, c, d, P, offsetP, Q, offsetQ )
+ Divides two double-precision complex floating-point numbers in real
+ arithmetic using alternative indexing semantics.
+
+ While typed array views mandate a view offset based on the underlying
+ buffer, the offset parameters support indexing semantics based on starting
+ indices.
+
+ Parameters
+ ----------
+ a: number
+ Real component of numerator.
+
+ b: number
+ Imaginary component of numerator.
+
+ c: number
+ Real component of denominator.
+
+ d: number
+ Imaginary component of denominator.
+
+ P: Float64Array
+ Array containing an element which is overwritten by the real part of the
+ quotient.
+
+ offsetP: integer
+ Index of the element in `P`.
+
+ Q: Float64Array
+ Array containing an element which is overwritten by the imaginary part
+ of the quotient.
+
+ offsetQ: integer
+ Index of the element in `Q`.
+
+ Examples
+ --------
+ > var {{alias:@stdlib/array/float64}} = require( '@stdlib/array/float64' );
+ > var P = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0, 0.0 ] );
+ > var Q = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0, 0.0 ] );
+ > {{alias}}.ndarray( -13.0, -1.0, -2.0, 1.0, P, 1, Q, 2 );
+ > P
+ [ 0.0, 5.0, 0.0 ]
+ > Q
+ [ 0.0, 0.0, 3.0 ]
+
+ See Also
+ --------
diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/docs/types/index.d.ts b/lib/node_modules/@stdlib/lapack/base/dladiv/docs/types/index.d.ts
new file mode 100644
index 000000000000..71085e5b1619
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/docs/types/index.d.ts
@@ -0,0 +1,112 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+// TypeScript Version: 4.1
+
+///
+
+/**
+* Interface describing `dladiv`.
+*/
+interface Routine {
+ /**
+ * Divides two double-precision complex floating-point numbers in real arithmetic.
+ *
+ * @param a - real component of numerator
+ * @param b - imaginary component of numerator
+ * @param c - real component of denominator
+ * @param d - imaginary component of denominator
+ * @param P - array containing a single element which is overwritten by the real part of the quotient
+ * @param Q - array containing a single element which is overwritten by the imaginary part of the quotient
+ * @returns void
+ *
+ * @example
+ * var Float64Array = require( '@stdlib/array/float64' );
+ *
+ * var P = new Float64Array( 1 );
+ * var Q = new Float64Array( 1 );
+ *
+ * dladiv( -13.0, -1.0, -2.0, 1.0, P, Q );
+ * // P => [ 5.0 ]
+ * // Q => [ 3.0 ]
+ */
+ ( a: number, b: number, c: number, d: number, P: Float64Array, Q: Float64Array ): void;
+
+ /**
+ * Divides two double-precision complex floating-point numbers in real arithmetic with alternative indexing semantics.
+ *
+ * @param a - real component of numerator
+ * @param b - imaginary component of numerator
+ * @param c - real component of denominator
+ * @param d - imaginary component of denominator
+ * @param P - array containing an element which is overwritten by the real part of the quotient
+ * @param offsetP - index of the element in `P`
+ * @param Q - array containing an element which is overwritten by the imaginary part of the quotient
+ * @param offsetQ - index of the element in `Q`
+ * @returns void
+ *
+ * @example
+ * var Float64Array = require( '@stdlib/array/float64' );
+ *
+ * var P = new Float64Array( 1 );
+ * var Q = new Float64Array( 1 );
+ *
+ * dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, 0, Q, 0 );
+ * // P => [ 5.0 ]
+ * // Q => [ 3.0 ]
+ */
+ ndarray( a: number, b: number, c: number, d: number, P: Float64Array, offsetP: number, Q: Float64Array, offsetQ: number ): void;
+}
+
+/**
+* Divides two double-precision complex floating-point numbers in real arithmetic.
+*
+* @param a - real component of numerator
+* @param b - imaginary component of numerator
+* @param c - real component of denominator
+* @param d - imaginary component of denominator
+* @param P - array containing a single element which is overwritten by the real part of the quotient
+* @param Q - array containing a single element which is overwritten by the imaginary part of the quotient
+* @returns void
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var P = new Float64Array( 1 );
+* var Q = new Float64Array( 1 );
+*
+* dladiv( -13.0, -1.0, -2.0, 1.0, P, Q );
+* // P => [ 5.0 ]
+* // Q => [ 3.0 ]
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var P = new Float64Array( 1 );
+* var Q = new Float64Array( 1 );
+*
+* dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, 0, Q, 0 );
+* // P => [ 5.0 ]
+* // Q => [ 3.0 ]
+*/
+declare var dladiv: Routine;
+
+
+// EXPORTS //
+
+export = dladiv;
diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/docs/types/test.ts b/lib/node_modules/@stdlib/lapack/base/dladiv/docs/types/test.ts
new file mode 100644
index 000000000000..08f5e4c5dcd5
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/docs/types/test.ts
@@ -0,0 +1,278 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+import dladiv = require( './index' );
+
+
+// TESTS //
+
+// The function returns void...
+{
+ const P = new Float64Array( 1 );
+ const Q = new Float64Array( 1 );
+
+ dladiv( -13.0, -1.0, -2.0, 1.0, P, Q ); // $ExpectType void
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a number...
+{
+ const P = new Float64Array( 1 );
+ const Q = new Float64Array( 1 );
+
+ dladiv( '5', -1.0, -2.0, 1.0, P, Q ); // $ExpectError
+ dladiv( true, -1.0, -2.0, 1.0, P, Q ); // $ExpectError
+ dladiv( false, -1.0, -2.0, 1.0, P, Q ); // $ExpectError
+ dladiv( null, -1.0, -2.0, 1.0, P, Q ); // $ExpectError
+ dladiv( void 0, -1.0, -2.0, 1.0, P, Q ); // $ExpectError
+ dladiv( [], -1.0, -2.0, 1.0, P, Q ); // $ExpectError
+ dladiv( {}, -1.0, -2.0, 1.0, P, Q ); // $ExpectError
+ dladiv( ( x: number ): number => x, -1.0, -2.0, 1.0, P, Q ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a number...
+{
+ const P = new Float64Array( 1 );
+ const Q = new Float64Array( 1 );
+
+ dladiv( -13.0, '5', -2.0, 1.0, P, Q ); // $ExpectError
+ dladiv( -13.0, true, -2.0, 1.0, P, Q ); // $ExpectError
+ dladiv( -13.0, false, -2.0, 1.0, P, Q ); // $ExpectError
+ dladiv( -13.0, null, -2.0, 1.0, P, Q ); // $ExpectError
+ dladiv( -13.0, void 0, -2.0, 1.0, P, Q ); // $ExpectError
+ dladiv( -13.0, [], -2.0, 1.0, P, Q ); // $ExpectError
+ dladiv( -13.0, {}, -2.0, 1.0, P, Q ); // $ExpectError
+ dladiv( -13.0, ( x: number ): number => x, -2.0, 1.0, P, Q ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a third argument which is not a number...
+{
+ const P = new Float64Array( 1 );
+ const Q = new Float64Array( 1 );
+
+ dladiv( -13.0, -1.0, '5', 1.0, P, Q ); // $ExpectError
+ dladiv( -13.0, -1.0, true, 1.0, P, Q ); // $ExpectError
+ dladiv( -13.0, -1.0, false, 1.0, P, Q ); // $ExpectError
+ dladiv( -13.0, -1.0, null, 1.0, P, Q ); // $ExpectError
+ dladiv( -13.0, -1.0, void 0, 1.0, P, Q ); // $ExpectError
+ dladiv( -13.0, -1.0, [], 1.0, P, Q ); // $ExpectError
+ dladiv( -13.0, -1.0, {}, 1.0, P, Q ); // $ExpectError
+ dladiv( -13.0, -1.0, ( x: number ): number => x, 1.0, P, Q ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fourth argument which is not a number...
+{
+ const P = new Float64Array( 1 );
+ const Q = new Float64Array( 1 );
+
+ dladiv( -13.0, -1.0, -2.0, '5', P, Q ); // $ExpectError
+ dladiv( -13.0, -1.0, -2.0, true, P, Q ); // $ExpectError
+ dladiv( -13.0, -1.0, -2.0, false, P, Q ); // $ExpectError
+ dladiv( -13.0, -1.0, -2.0, null, P, Q ); // $ExpectError
+ dladiv( -13.0, -1.0, -2.0, void 0, P, Q ); // $ExpectError
+ dladiv( -13.0, -1.0, -2.0, [], P, Q ); // $ExpectError
+ dladiv( -13.0, -1.0, -2.0, {}, P, Q ); // $ExpectError
+ dladiv( -13.0, -1.0, -2.0, ( x: number ): number => x, P, Q ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fifth argument which is not a Float64Array...
+{
+ const Q = new Float64Array( 1 );
+
+ dladiv( -13.0, -1.0, -2.0, 1.0, '5', Q ); // $ExpectError
+ dladiv( -13.0, -1.0, -2.0, 1.0, 5, Q ); // $ExpectError
+ dladiv( -13.0, -1.0, -2.0, 1.0, true, Q ); // $ExpectError
+ dladiv( -13.0, -1.0, -2.0, 1.0, false, Q ); // $ExpectError
+ dladiv( -13.0, -1.0, -2.0, 1.0, null, Q ); // $ExpectError
+ dladiv( -13.0, -1.0, -2.0, 1.0, void 0, Q ); // $ExpectError
+ dladiv( -13.0, -1.0, -2.0, 1.0, [], Q ); // $ExpectError
+ dladiv( -13.0, -1.0, -2.0, 1.0, {}, Q ); // $ExpectError
+ dladiv( -13.0, -1.0, -2.0, 1.0, ( x: number ): number => x, Q ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a sixth argument which is not a Float64Array...
+{
+ const P = new Float64Array( 1 );
+
+ dladiv( -13.0, -1.0, -2.0, 1.0, P, '5' ); // $ExpectError
+ dladiv( -13.0, -1.0, -2.0, 1.0, P, 5 ); // $ExpectError
+ dladiv( -13.0, -1.0, -2.0, 1.0, P, true ); // $ExpectError
+ dladiv( -13.0, -1.0, -2.0, 1.0, P, false ); // $ExpectError
+ dladiv( -13.0, -1.0, -2.0, 1.0, P, null ); // $ExpectError
+ dladiv( -13.0, -1.0, -2.0, 1.0, P, void 0 ); // $ExpectError
+ dladiv( -13.0, -1.0, -2.0, 1.0, P, [] ); // $ExpectError
+ dladiv( -13.0, -1.0, -2.0, 1.0, P, {} ); // $ExpectError
+ dladiv( -13.0, -1.0, -2.0, 1.0, P, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const P = new Float64Array( 1 );
+ const Q = new Float64Array( 1 );
+
+ dladiv(); // $ExpectError
+ dladiv( -13.0 ); // $ExpectError
+ dladiv( -13.0, -1.0 ); // $ExpectError
+ dladiv( -13.0, -1.0, -2.0 ); // $ExpectError
+ dladiv( -13.0, -1.0, -2.0, 1.0 ); // $ExpectError
+ dladiv( -13.0, -1.0, -2.0, 1.0, P ); // $ExpectError
+ dladiv( -13.0, -1.0, -2.0, 1.0, P, Q, 10 ); // $ExpectError
+}
+
+// Attached to main export is an `ndarray` method which returns void...
+{
+ const P = new Float64Array( 1 );
+ const Q = new Float64Array( 1 );
+
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, 0, Q, 0 ); // $ExpectType void
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a number...
+{
+ const P = new Float64Array( 1 );
+ const Q = new Float64Array( 1 );
+
+ dladiv.ndarray( '5', -1.0, -2.0, 1.0, P, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( true, -1.0, -2.0, 1.0, P, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( false, -1.0, -2.0, 1.0, P, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( null, -1.0, -2.0, 1.0, P, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( void 0, -1.0, -2.0, 1.0, P, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( [], -1.0, -2.0, 1.0, P, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( {}, -1.0, -2.0, 1.0, P, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( ( x: number ): number => x, -1.0, -2.0, 1.0, P, 0, Q, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a number...
+{
+ const P = new Float64Array( 1 );
+ const Q = new Float64Array( 1 );
+
+ dladiv.ndarray( -13.0, '5', -2.0, 1.0, P, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, true, -2.0, 1.0, P, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, false, -2.0, 1.0, P, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, null, -2.0, 1.0, P, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, void 0, -2.0, 1.0, P, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, [], -2.0, 1.0, P, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, {}, -2.0, 1.0, P, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, ( x: number ): number => x, -2.0, 1.0, P, 0, Q, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a third argument which is not a number...
+{
+ const P = new Float64Array( 1 );
+ const Q = new Float64Array( 1 );
+
+ dladiv.ndarray( -13.0, -1.0, '5', 1.0, P, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, true, 1.0, P, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, false, 1.0, P, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, null, 1.0, P, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, void 0, 1.0, P, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, [], 1.0, P, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, {}, 1.0, P, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, ( x: number ): number => x, 1.0, P, 0, Q, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fourth argument which is not a number...
+{
+ const P = new Float64Array( 1 );
+ const Q = new Float64Array( 1 );
+
+ dladiv.ndarray( -13.0, -1.0, -2.0, '5', P, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, true, P, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, false, P, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, null, P, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, void 0, P, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, [], P, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, {}, P, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, ( x: number ): number => x, P, 0, Q, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fifth argument which is not a Float64Array...
+{
+ const Q = new Float64Array( 1 );
+
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, '5', 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, 5, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, true, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, false, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, null, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, void 0, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, [], 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, {}, 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, ( x: number ): number => x, 0, Q, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a sixth argument which is not a number...
+{
+ const P = new Float64Array( 1 );
+ const Q = new Float64Array( 1 );
+
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, '5', Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, true, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, false, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, null, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, void 0, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, [], Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, {}, Q, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, ( x: number ): number => x, Q, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a seventh argument which is not a Float64Array...
+{
+ const P = new Float64Array( 1 );
+
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, 0, '5', 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, 0, 5, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, 0, true, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, 0, false, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, 0, null, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, 0, void 0, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, 0, [], 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, 0, {}, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, 0, ( x: number ): number => x, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an eighth argument which is not a number...
+{
+ const P = new Float64Array( 1 );
+ const Q = new Float64Array( 1 );
+
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, 0, Q, '5' ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, 0, Q, true ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, 0, Q, false ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, 0, Q, null ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, 0, Q, void 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, 0, Q, [] ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, 0, Q, {} ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, 0, Q, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an unsupported number of arguments...
+{
+ const P = new Float64Array( 1 );
+ const Q = new Float64Array( 1 );
+
+ dladiv.ndarray(); // $ExpectError
+ dladiv.ndarray( -13.0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, 0 ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, 0, Q ); // $ExpectError
+ dladiv.ndarray( -13.0, -1.0, -2.0, 1.0, P, 0, Q, 0, 10 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/examples/index.js b/lib/node_modules/@stdlib/lapack/base/dladiv/examples/index.js
new file mode 100644
index 000000000000..f167e3d4f067
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/examples/index.js
@@ -0,0 +1,27 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var Float64Array = require( '@stdlib/array/float64' );
+var dladiv = require( './../lib' );
+
+var P = new Float64Array( 1 );
+var Q = new Float64Array( 1 );
+dladiv( 2.0, 1.0, 3.0, 4.0, P, Q );
+console.log( '(2+i)/(3+4i) =', P[ 0 ], '+', Q[ 0 ], 'i' );
diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/lib/base.js b/lib/node_modules/@stdlib/lapack/base/dladiv/lib/base.js
new file mode 100644
index 000000000000..fe5d5b7d493b
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/lib/base.js
@@ -0,0 +1,67 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var cdiv = require( '@stdlib/complex/float64/base/div' ).assign;
+var Float64Array = require( '@stdlib/array/float64' );
+
+
+// VARIABLES //
+
+var out = new Float64Array( 2 );
+
+
+// MAIN //
+
+/**
+* Divides two double-precision complex floating-point numbers in real arithmetic.
+*
+* @private
+* @param {number} a - real component of numerator
+* @param {number} b - imaginary component of numerator
+* @param {number} c - real component of denominator
+* @param {number} d - imaginary component of denominator
+* @param {Float64Array} P - array containing an element which is overwritten by the real part of the quotient
+* @param {NonNegativeInteger} offsetP - index of the element in `P`
+* @param {Float64Array} Q - array containing an element which is overwritten by the imaginary part of the quotient
+* @param {NonNegativeInteger} offsetQ - index of the element in `Q`
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var P = new Float64Array( 1 );
+* var Q = new Float64Array( 1 );
+*
+* dladiv( -13.0, -1.0, -2.0, 1.0, P, 0, Q, 0 );
+* // P => [ 5.0 ]
+* // Q => [ 3.0 ]
+*/
+function dladiv( a, b, c, d, P, offsetP, Q, offsetQ ) {
+ cdiv( a, b, c, d, out, 1, 0 );
+ P[ offsetP ] = out[ 0 ];
+ Q[ offsetQ ] = out[ 1 ];
+}
+
+
+// EXPORTS //
+
+module.exports = dladiv;
diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/lib/dladiv.js b/lib/node_modules/@stdlib/lapack/base/dladiv/lib/dladiv.js
new file mode 100644
index 000000000000..deace8dc87c8
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/lib/dladiv.js
@@ -0,0 +1,56 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var base = require( './base.js' );
+
+
+// MAIN //
+
+/**
+* Divides two double-precision complex floating-point numbers in real arithmetic.
+*
+* @param {number} a - real component of numerator
+* @param {number} b - imaginary component of numerator
+* @param {number} c - real component of denominator
+* @param {number} d - imaginary component of denominator
+* @param {Float64Array} P - array containing a single element which is overwritten by the real part of the quotient
+* @param {Float64Array} Q - array containing a single element which is overwritten by the imaginary part of the quotient
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var P = new Float64Array( 1 );
+* var Q = new Float64Array( 1 );
+*
+* dladiv( -13.0, -1.0, -2.0, 1.0, P, Q );
+* // P => [ 5.0 ]
+* // Q => [ 3.0 ]
+*/
+function dladiv( a, b, c, d, P, Q ) {
+ return base( a, b, c, d, P, 0, Q, 0 );
+}
+
+
+// EXPORTS //
+
+module.exports = dladiv;
diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/lib/index.js b/lib/node_modules/@stdlib/lapack/base/dladiv/lib/index.js
new file mode 100644
index 000000000000..21443bc6ea36
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/lib/index.js
@@ -0,0 +1,59 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+/**
+* LAPACK routine to divide two double-precision complex floating-point numbers.
+*
+* @module @stdlib/lapack/base/dladiv
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var dladiv = require( '@stdlib/lapack/base/dladiv' );
+*
+* var P = new Float64Array( 1 );
+* var Q = new Float64Array( 1 );
+*
+* dladiv( -13.0, -1.0, -2.0, 1.0, P, Q );
+* // P => [ 5.0 ]
+* // Q => [ 3.0 ]
+*/
+
+// MODULES //
+
+var join = require( 'path' ).join;
+var tryRequire = require( '@stdlib/utils/try-require' );
+var isError = require( '@stdlib/assert/is-error' );
+var main = require( './main.js' );
+
+
+// MAIN //
+
+var dladiv;
+var tmp = tryRequire( join( __dirname, './native.js' ) );
+if ( isError( tmp ) ) {
+ dladiv = main;
+} else {
+ dladiv = tmp;
+}
+
+
+// EXPORTS //
+
+module.exports = dladiv;
diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/lib/main.js b/lib/node_modules/@stdlib/lapack/base/dladiv/lib/main.js
new file mode 100644
index 000000000000..67d863cbfbaf
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/lib/main.js
@@ -0,0 +1,35 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
+var dladiv = require( './dladiv.js' );
+var ndarray = require( './ndarray.js' );
+
+
+// MAIN //
+
+setReadOnly( dladiv, 'ndarray', ndarray );
+
+
+// EXPORTS //
+
+module.exports = dladiv;
diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/lib/ndarray.js b/lib/node_modules/@stdlib/lapack/base/dladiv/lib/ndarray.js
new file mode 100644
index 000000000000..75ad6e5dcac0
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/lib/ndarray.js
@@ -0,0 +1,58 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var base = require( './base.js' );
+
+
+// MAIN //
+
+/**
+* Divides two double-precision complex floating-point numbers in real arithmetic.
+*
+* @param {number} a - real component of numerator
+* @param {number} b - imaginary component of numerator
+* @param {number} c - real component of denominator
+* @param {number} d - imaginary component of denominator
+* @param {Float64Array} P - array containing an element which is overwritten by the real part of the quotient
+* @param {NonNegativeInteger} offsetP - index of the element in `P`
+* @param {Float64Array} Q - array containing an element which is overwritten by the imaginary part of the quotient
+* @param {NonNegativeInteger} offsetQ - index of the element in `Q`
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var P = new Float64Array( 1 );
+* var Q = new Float64Array( 1 );
+*
+* dladiv( -13.0, -1.0, -2.0, 1.0, P, 0, Q, 0 );
+* // P => [ 5.0 ]
+* // Q => [ 3.0 ]
+*/
+function dladiv( a, b, c, d, P, offsetP, Q, offsetQ ) {
+ return base( a, b, c, d, P, offsetP, Q, offsetQ );
+}
+
+
+// EXPORTS //
+
+module.exports = dladiv;
diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/package.json b/lib/node_modules/@stdlib/lapack/base/dladiv/package.json
new file mode 100644
index 000000000000..ab2a6e88aa9b
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/package.json
@@ -0,0 +1,70 @@
+{
+ "name": "@stdlib/lapack/base/dladiv",
+ "version": "0.0.0",
+ "description": "LAPACK routine to divide two double-precision complex floating-point numbers in real arithmetic.",
+ "license": "Apache-2.0",
+ "author": {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ },
+ "contributors": [
+ {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ }
+ ],
+ "main": "./lib",
+ "directories": {
+ "benchmark": "./benchmark",
+ "doc": "./docs",
+ "example": "./examples",
+ "lib": "./lib",
+ "test": "./test"
+ },
+ "types": "./docs/types",
+ "scripts": {},
+ "homepage": "https://github.com/stdlib-js/stdlib",
+ "repository": {
+ "type": "git",
+ "url": "git://github.com/stdlib-js/stdlib.git"
+ },
+ "bugs": {
+ "url": "https://github.com/stdlib-js/stdlib/issues"
+ },
+ "dependencies": {},
+ "devDependencies": {},
+ "engines": {
+ "node": ">=0.10.0",
+ "npm": ">2.7.0"
+ },
+ "os": [
+ "aix",
+ "darwin",
+ "freebsd",
+ "linux",
+ "macos",
+ "openbsd",
+ "sunos",
+ "win32",
+ "windows"
+ ],
+ "keywords": [
+ "stdlib",
+ "stdmath",
+ "mathematics",
+ "math",
+ "lapack",
+ "dladiv",
+ "complex",
+ "division",
+ "arithmetic",
+ "linear",
+ "algebra",
+ "subroutines",
+ "array",
+ "ndarray",
+ "float64",
+ "double",
+ "float64array"
+ ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/REQUIRE b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/REQUIRE
new file mode 100644
index 000000000000..308c3be89c85
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/REQUIRE
@@ -0,0 +1,2 @@
+julia 1.5
+JSON 0.21
diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/component_scales1.json b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/component_scales1.json
new file mode 100644
index 000000000000..a286c0c06243
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/component_scales1.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/component_scales2.json b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/component_scales2.json
new file mode 100644
index 000000000000..37c1436e29c2
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/component_scales2.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/data.json b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/data.json
new file mode 100644
index 000000000000..b2d3e38ee707
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/data.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/imaginary_component_scales.json b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/imaginary_component_scales.json
new file mode 100644
index 000000000000..3064811c3e8f
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/imaginary_component_scales.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/large_negative_imaginary_components.json b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/large_negative_imaginary_components.json
new file mode 100644
index 000000000000..8bee75e60f67
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/large_negative_imaginary_components.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/large_negative_real_components.json b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/large_negative_real_components.json
new file mode 100644
index 000000000000..b282c2b18783
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/large_negative_real_components.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/large_positive_imaginary_components.json b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/large_positive_imaginary_components.json
new file mode 100644
index 000000000000..46c5d0be151a
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/large_positive_imaginary_components.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/large_positive_real_components.json b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/large_positive_real_components.json
new file mode 100644
index 000000000000..490558538bb9
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/large_positive_real_components.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/real_component_scales.json b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/real_component_scales.json
new file mode 100644
index 000000000000..701bcfdcfdc8
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/real_component_scales.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/runner.jl b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/runner.jl
new file mode 100644
index 000000000000..dcd8a24e5391
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/runner.jl
@@ -0,0 +1,168 @@
+#!/usr/bin/env julia
+#
+# @license Apache-2.0
+#
+# Copyright (c) 2025 The Stdlib Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import JSON
+
+"""
+ gen( re1, im1, re2, im2, name )
+
+Generate fixture data and write to file.
+
+# Arguments
+
+* `re1`: real components for first complex number
+* `im1`: imaginary components for first complex number
+* `re2`: real components for second complex number
+* `im2`: imaginary components for second complex number
+* `name::AbstractString`: output filename
+
+# Examples
+
+``` julia
+julia> re1 = rand( 1000 );
+julia> im1 = rand( 1000 );
+julia> re2 = rand( 1000 );
+julia> im2 = rand( 1000 );
+julia> gen( re1, im1, re2, im2, \"data.json\" );
+```
+"""
+function gen( re1, im1, re2, im2, name )
+ zre = Array{Float64}( undef, length(re1) );
+ zim = Array{Float64}( undef, length(re1) );
+ for i in eachindex(re1)
+ z = Complex{Float64}( re1[i], im1[i] ) / Complex{Float64}( re2[i], im2[i] );
+ zre[ i ] = real( z );
+ zim[ i ] = imag( z );
+ end
+
+ # Store data to be written to file as a collection:
+ data = Dict([
+ ("re1", re1),
+ ("im1", im1),
+ ("re2", re2),
+ ("im2", im2),
+ ("qre", zre),
+ ("qim", zim),
+ ]);
+
+ # Based on the script directory, create an output filepath:
+ filepath = joinpath( dir, name );
+
+ # Write the data to the output filepath as JSON:
+ outfile = open( filepath, "w" );
+ write( outfile, JSON.json(data) );
+ write( outfile, "\n" );
+ close( outfile );
+end
+
+# Get the filename:
+file = @__FILE__;
+
+# Extract the directory in which this file resides:
+dir = dirname( file );
+
+# Large positive real components:
+re1 = rand( 500 ) .* 1.0e300;
+re2 = rand( 500 ) .* 1.0e300;
+im1 = ( rand( 500 ) .* 20.0 ) .- 10.0;
+im2 = ( rand( 500 ) .* 20.0 ) .- 10.0;
+gen( re1, re2, im1, im2, "large_positive_real_components.json" );
+
+# Large negative real components:
+re1 = -rand( 500 ) .* 1.0e300;
+re2 = -rand( 500 ) .* 1.0e300;
+im1 = ( rand( 500 ) .* 20.0 ) .- 10.0;
+im2 = ( rand( 500 ) .* 20.0 ) .- 10.0;
+gen( re1, im1, re2, im2, "large_negative_real_components.json" );
+
+# Large positive imaginary components:
+re1 = ( rand( 500 ) .* 20.0 ) .- 10.0;
+re2 = ( rand( 500 ) .* 20.0 ) .- 10.0;
+im1 = rand( 500 ) .* 1.0e300;
+im2 = rand( 500 ) .* 1.0e300;
+gen( re1, im1, re2, im2, "large_positive_imaginary_components.json" );
+
+# Large negative imaginary components:
+re1 = ( rand( 500 ) .* 20.0 ) .- 10.0;
+re2 = ( rand( 500 ) .* 20.0 ) .- 10.0;
+im1 = -rand( 500 ) .* 1.0e300;
+im2 = -rand( 500 ) .* 1.0e300;
+gen( re1, im1, re2, im2, "large_negative_imaginary_components.json" );
+
+# Tiny positive real components:
+re1 = rand( 500 ) .* 1.0e-324;
+re2 = rand( 500 ) .* 1.0e-324;
+im1 = ( rand( 500 ) .* 20.0 ) .- 10.0;
+im2 = ( rand( 500 ) .* 20.0 ) .- 10.0;
+gen( re1, im1, re2, im2, "tiny_positive_real_components.json" );
+
+# Tiny negative real components:
+re1 = -rand( 500 ) .* 1.0e-324;
+re2 = -rand( 500 ) .* 1.0e-324;
+im1 = ( rand( 500 ) .* 20.0 ) .- 10.0;
+im2 = ( rand( 500 ) .* 20.0 ) .- 10.0;
+gen( re1, im1, re2, im2, "tiny_negative_real_components.json" );
+
+# Tiny positive imaginary components:
+re1 = ( rand( 500 ) .* 20.0 ) .- 10.0;
+re2 = ( rand( 500 ) .* 20.0 ) .- 10.0;
+im1 = rand( 500 ) .* 1.0e-324;
+im2 = rand( 500 ) .* 1.0e-324;
+gen( re1, im1, re2, im2, "tiny_positive_imaginary_components.json" );
+
+# Tiny negative imaginary components:
+re1 = ( rand( 500 ) .* 20.0 ) .- 10.0;
+re2 = ( rand( 500 ) .* 20.0 ) .- 10.0;
+im1 = -rand( 500 ) .* 1.0e-324;
+im2 = -rand( 500 ) .* 1.0e-324;
+gen( re1, im1, re2, im2, "tiny_negative_imaginary_components.json" );
+
+# Real components different scales:
+re1 = rand( 500 ) .* 1.0e200;
+re2 = rand( 500 ) .* 1.0e-100;
+im1 = ( rand( 500 ) .* 20.0 ) .- 10.0;
+im2 = ( rand( 500 ) .* 20.0 ) .- 10.0;
+gen( re1, im1, re2, im2, "real_component_scales.json" );
+
+# Imaginary components different scales:
+re1 = ( rand( 500 ) .* 20.0 ) .- 10.0;
+re2 = ( rand( 500 ) .* 20.0 ) .- 10.0;
+im1 = rand( 500 ) .* 1.0e200;
+im2 = rand( 500 ) .* 1.0e-100;
+gen( re1, im1, re2, im2, "imaginary_component_scales.json" );
+
+# Components different scales:
+re1 = rand( 500 ) .* 1.0e200;
+re2 = rand( 500 ) .* 1.0e200;
+im1 = ( rand( 500 ) .* 1.0e-200 ) .- 0.5e-200;
+im2 = ( rand( 500 ) .* 1.0e-200 ) .- 0.5e-200;
+gen( re1, im1, re2, im2, "component_scales1.json" );
+
+# Components different scales:
+re1 = ( rand( 500 ) .* 1.0e-200 ) .- 0.5e-200;
+re2 = ( rand( 500 ) .* 1.0e-200 ) .- 0.5e-200;
+im1 = rand( 500 ) .* 1.0e200;
+im2 = rand( 500 ) .* 1.0e200;
+gen( re1, im1, re2, im2, "component_scales2.json" );
+
+# Normal:
+re1 = ( rand( 500 ) .* 100.0 ) .- 50.0;
+re2 = ( rand( 500 ) .* 100.0 ) .- 50.0;
+im1 = ( rand( 500 ) .* 100.0 ) .- 50.0;
+im2 = ( rand( 500 ) .* 100.0 ) .- 50.0;
+gen( re1, im1, re2, im2, "data.json" );
diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/tiny_negative_imaginary_components.json b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/tiny_negative_imaginary_components.json
new file mode 100644
index 000000000000..a6fd6a11c556
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/tiny_negative_imaginary_components.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/tiny_negative_real_components.json b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/tiny_negative_real_components.json
new file mode 100644
index 000000000000..03f51ad6061c
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/tiny_negative_real_components.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/tiny_positive_imaginary_components.json b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/tiny_positive_imaginary_components.json
new file mode 100644
index 000000000000..0999ad5e83b0
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/tiny_positive_imaginary_components.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/tiny_positive_real_components.json b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/tiny_positive_real_components.json
new file mode 100644
index 000000000000..4f968da7a568
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/test/fixtures/julia/tiny_positive_real_components.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/test/test.dladiv.js b/lib/node_modules/@stdlib/lapack/base/dladiv/test/test.dladiv.js
new file mode 100644
index 000000000000..7c55d6efd771
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/test/test.dladiv.js
@@ -0,0 +1,618 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable id-length */
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var abs = require( '@stdlib/math/base/special/abs' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var Float64Array = require( '@stdlib/array/float64' );
+var dladiv = require( './../lib' );
+
+
+// FIXTURES //
+
+var data = require( './fixtures/julia/data.json' );
+var componentScales1 = require( './fixtures/julia/component_scales1.json' );
+var componentScales2 = require( './fixtures/julia/component_scales2.json' );
+var imaginaryComponentScales = require( './fixtures/julia/imaginary_component_scales.json' );
+var realComponentScales = require( './fixtures/julia/real_component_scales.json' );
+var largeNegativeImaginaryComponents = require( './fixtures/julia/large_negative_imaginary_components.json' );
+var largeNegativeRealComponents = require( './fixtures/julia/large_negative_real_components.json' );
+var largePositiveImaginaryComponents = require( './fixtures/julia/large_positive_imaginary_components.json' );
+var largePositiveRealComponents = require( './fixtures/julia/large_positive_real_components.json' );
+var tinyNegativeImaginaryComponents = require( './fixtures/julia/tiny_negative_imaginary_components.json' );
+var tinyNegativeRealComponents = require( './fixtures/julia/tiny_negative_real_components.json' );
+var tinyPositiveImaginaryComponents = require( './fixtures/julia/tiny_positive_imaginary_components.json' );
+var tinyPositiveRealComponents = require( './fixtures/julia/tiny_positive_real_components.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof dladiv, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 6', function test( t ) {
+ t.strictEqual( dladiv.length, 6, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tested against fixtures)', function test( t ) {
+ var delta;
+ var tol;
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var i;
+ var P;
+ var Q;
+
+ re1 = data.re1;
+ im1 = data.im1;
+ re2 = data.re2;
+ im2 = data.im2;
+ qre = data.qre;
+ qim = data.qim;
+ P = new Float64Array( 1 );
+ Q = new Float64Array( 1 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ dladiv( re1[ i ], im1[ i ], re2[ i ], im2[ i ], P, Q );
+
+ if ( P[ 0 ] === qre[ i ] ) {
+ t.strictEqual( P[ 0 ], qre[ i ], 'returns expected real component' );
+ } else {
+ delta = abs( P[ 0 ] - qre[ i ] );
+ tol = EPS * abs( qre[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. real: '+P[ 0 ]+'. expected: '+qre[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ if ( Q[ 0 ] === qim[ i ] ) {
+ t.strictEqual( Q[ 0 ], qim[ i ], 'returns expected imaginary component' );
+ } else {
+ delta = abs( Q[ 0 ] - qim[ i ] );
+ tol = EPS * abs( qim[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. imag: '+Q[ 0 ]+'. expected: '+qim[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (different component scales)', function test( t ) {
+ var delta;
+ var tol;
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var i;
+ var P;
+ var Q;
+
+ re1 = componentScales1.re1;
+ im1 = componentScales1.im1;
+ re2 = componentScales1.re2;
+ im2 = componentScales1.im2;
+ qre = componentScales1.qre;
+ qim = componentScales1.qim;
+ P = new Float64Array( 1 );
+ Q = new Float64Array( 1 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ dladiv( re1[ i ], im1[ i ], re2[ i ], im2[ i ], P, Q );
+
+ if ( P[ 0 ] === qre[ i ] ) {
+ t.strictEqual( P[ 0 ], qre[ i ], 'returns expected real component' );
+ } else {
+ delta = abs( P[ 0 ] - qre[ i ] );
+ tol = EPS * abs( qre[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. real: '+P[ 0 ]+'. expected: '+qre[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ if ( Q[ 0 ] === qim[ i ] ) {
+ t.strictEqual( Q[ 0 ], qim[ i ], 'returns expected imaginary component' );
+ } else {
+ delta = abs( Q[ 0 ] - qim[ i ] );
+ tol = EPS * abs( qim[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. imag: '+Q[ 0 ]+'. expected: '+qim[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (different component scales)', function test( t ) {
+ var delta;
+ var tol;
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var i;
+ var P;
+ var Q;
+
+ re1 = componentScales2.re1;
+ im1 = componentScales2.im1;
+ re2 = componentScales2.re2;
+ im2 = componentScales2.im2;
+ qre = componentScales2.qre;
+ qim = componentScales2.qim;
+ P = new Float64Array( 1 );
+ Q = new Float64Array( 1 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ dladiv( re1[ i ], im1[ i ], re2[ i ], im2[ i ], P, Q );
+
+ if ( P[ 0 ] === qre[ i ] ) {
+ t.strictEqual( P[ 0 ], qre[ i ], 'returns expected real component' );
+ } else {
+ delta = abs( P[ 0 ] - qre[ i ] );
+ tol = EPS * abs( qre[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. real: '+P[ 0 ]+'. expected: '+qre[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ if ( Q[ 0 ] === qim[ i ] ) {
+ t.strictEqual( Q[ 0 ], qim[ i ], 'returns expected imaginary component' );
+ } else {
+ delta = abs( Q[ 0 ] - qim[ i ] );
+ tol = EPS * abs( qim[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. imag: '+Q[ 0 ]+'. expected: '+qim[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (different imaginary component scales)', function test( t ) {
+ var delta;
+ var tol;
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var i;
+ var P;
+ var Q;
+
+ re1 = imaginaryComponentScales.re1;
+ im1 = imaginaryComponentScales.im1;
+ re2 = imaginaryComponentScales.re2;
+ im2 = imaginaryComponentScales.im2;
+ qre = imaginaryComponentScales.qre;
+ qim = imaginaryComponentScales.qim;
+ P = new Float64Array( 1 );
+ Q = new Float64Array( 1 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ dladiv( re1[ i ], im1[ i ], re2[ i ], im2[ i ], P, Q );
+
+ if ( P[ 0 ] === qre[ i ] ) {
+ t.strictEqual( P[ 0 ], qre[ i ], 'returns expected real component' );
+ } else {
+ delta = abs( P[ 0 ] - qre[ i ] );
+ tol = EPS * abs( qre[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. real: '+P[ 0 ]+'. expected: '+qre[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ if ( Q[ 0 ] === qim[ i ] ) {
+ t.strictEqual( Q[ 0 ], qim[ i ], 'returns expected imaginary component' );
+ } else {
+ delta = abs( Q[ 0 ] - qim[ i ] );
+ tol = EPS * abs( qim[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. imag: '+Q[ 0 ]+'. expected: '+qim[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (real imaginary component scales)', function test( t ) {
+ var delta;
+ var tol;
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var i;
+ var P;
+ var Q;
+
+ re1 = realComponentScales.re1;
+ im1 = realComponentScales.im1;
+ re2 = realComponentScales.re2;
+ im2 = realComponentScales.im2;
+ qre = realComponentScales.qre;
+ qim = realComponentScales.qim;
+ P = new Float64Array( 1 );
+ Q = new Float64Array( 1 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ dladiv( re1[ i ], im1[ i ], re2[ i ], im2[ i ], P, Q );
+
+ if ( P[ 0 ] === qre[ i ] ) {
+ t.strictEqual( P[ 0 ], qre[ i ], 'returns expected real component' );
+ } else {
+ delta = abs( P[ 0 ] - qre[ i ] );
+ tol = EPS * abs( qre[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. real: '+P[ 0 ]+'. expected: '+qre[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ if ( Q[ 0 ] === qim[ i ] ) {
+ t.strictEqual( Q[ 0 ], qim[ i ], 'returns expected imaginary component' );
+ } else {
+ delta = abs( Q[ 0 ] - qim[ i ] );
+ tol = EPS * abs( qim[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. imag: '+Q[ 0 ]+'. expected: '+qim[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (large negative imaginary components)', function test( t ) {
+ var delta;
+ var tol;
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var i;
+ var P;
+ var Q;
+
+ re1 = largeNegativeImaginaryComponents.re1;
+ im1 = largeNegativeImaginaryComponents.im1;
+ re2 = largeNegativeImaginaryComponents.re2;
+ im2 = largeNegativeImaginaryComponents.im2;
+ qre = largeNegativeImaginaryComponents.qre;
+ qim = largeNegativeImaginaryComponents.qim;
+ P = new Float64Array( 1 );
+ Q = new Float64Array( 1 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ dladiv( re1[ i ], im1[ i ], re2[ i ], im2[ i ], P, Q );
+
+ if ( P[ 0 ] === qre[ i ] ) {
+ t.strictEqual( P[ 0 ], qre[ i ], 'returns expected real component' );
+ } else {
+ delta = abs( P[ 0 ] - qre[ i ] );
+ tol = EPS * abs( qre[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. real: '+P[ 0 ]+'. expected: '+qre[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ if ( Q[ 0 ] === qim[ i ] ) {
+ t.strictEqual( Q[ 0 ], qim[ i ], 'returns expected imaginary component' );
+ } else {
+ delta = abs( Q[ 0 ] - qim[ i ] );
+ tol = EPS * abs( qim[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. imag: '+Q[ 0 ]+'. expected: '+qim[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (large negative real components)', function test( t ) {
+ var delta;
+ var tol;
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var i;
+ var P;
+ var Q;
+
+ re1 = largeNegativeRealComponents.re1;
+ im1 = largeNegativeRealComponents.im1;
+ re2 = largeNegativeRealComponents.re2;
+ im2 = largeNegativeRealComponents.im2;
+ qre = largeNegativeRealComponents.qre;
+ qim = largeNegativeRealComponents.qim;
+ P = new Float64Array( 1 );
+ Q = new Float64Array( 1 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ dladiv( re1[ i ], im1[ i ], re2[ i ], im2[ i ], P, Q );
+
+ if ( P[ 0 ] === qre[ i ] ) {
+ t.strictEqual( P[ 0 ], qre[ i ], 'returns expected real component' );
+ } else {
+ delta = abs( P[ 0 ] - qre[ i ] );
+ tol = EPS * abs( qre[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. real: '+P[ 0 ]+'. expected: '+qre[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ if ( Q[ 0 ] === qim[ i ] ) {
+ t.strictEqual( Q[ 0 ], qim[ i ], 'returns expected imaginary component' );
+ } else {
+ delta = abs( Q[ 0 ] - qim[ i ] );
+ tol = EPS * abs( qim[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. imag: '+Q[ 0 ]+'. expected: '+qim[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (large positive imaginary components)', function test( t ) {
+ var delta;
+ var tol;
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var i;
+ var P;
+ var Q;
+
+ re1 = largePositiveImaginaryComponents.re1;
+ im1 = largePositiveImaginaryComponents.im1;
+ re2 = largePositiveImaginaryComponents.re2;
+ im2 = largePositiveImaginaryComponents.im2;
+ qre = largePositiveImaginaryComponents.qre;
+ qim = largePositiveImaginaryComponents.qim;
+ P = new Float64Array( 1 );
+ Q = new Float64Array( 1 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ dladiv( re1[ i ], im1[ i ], re2[ i ], im2[ i ], P, Q );
+
+ if ( P[ 0 ] === qre[ i ] ) {
+ t.strictEqual( P[ 0 ], qre[ i ], 'returns expected real component' );
+ } else {
+ delta = abs( P[ 0 ] - qre[ i ] );
+ tol = EPS * abs( qre[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. real: '+P[ 0 ]+'. expected: '+qre[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ if ( Q[ 0 ] === qim[ i ] ) {
+ t.strictEqual( Q[ 0 ], qim[ i ], 'returns expected imaginary component' );
+ } else {
+ delta = abs( Q[ 0 ] - qim[ i ] );
+ tol = EPS * abs( qim[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. imag: '+Q[ 0 ]+'. expected: '+qim[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (large positive real components)', function test( t ) {
+ var delta;
+ var tol;
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var i;
+ var P;
+ var Q;
+
+ re1 = largePositiveRealComponents.re1;
+ im1 = largePositiveRealComponents.im1;
+ re2 = largePositiveRealComponents.re2;
+ im2 = largePositiveRealComponents.im2;
+ qre = largePositiveRealComponents.qre;
+ qim = largePositiveRealComponents.qim;
+ P = new Float64Array( 1 );
+ Q = new Float64Array( 1 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ dladiv( re1[ i ], im1[ i ], re2[ i ], im2[ i ], P, Q );
+
+ if ( P[ 0 ] === qre[ i ] ) {
+ t.strictEqual( P[ 0 ], qre[ i ], 'returns expected real component' );
+ } else {
+ delta = abs( P[ 0 ] - qre[ i ] );
+ tol = EPS * abs( qre[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. real: '+P[ 0 ]+'. expected: '+qre[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ if ( Q[ 0 ] === qim[ i ] ) {
+ t.strictEqual( Q[ 0 ], qim[ i ], 'returns expected imaginary component' );
+ } else {
+ delta = abs( Q[ 0 ] - qim[ i ] );
+ tol = EPS * abs( qim[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. imag: '+Q[ 0 ]+'. expected: '+qim[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tiny negative imaginary components)', function test( t ) {
+ var delta;
+ var tol;
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var i;
+ var P;
+ var Q;
+
+ re1 = tinyNegativeImaginaryComponents.re1;
+ im1 = tinyNegativeImaginaryComponents.im1;
+ re2 = tinyNegativeImaginaryComponents.re2;
+ im2 = tinyNegativeImaginaryComponents.im2;
+ qre = tinyNegativeImaginaryComponents.qre;
+ qim = tinyNegativeImaginaryComponents.qim;
+ P = new Float64Array( 1 );
+ Q = new Float64Array( 1 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ dladiv( re1[ i ], im1[ i ], re2[ i ], im2[ i ], P, Q );
+
+ if ( P[ 0 ] === qre[ i ] ) {
+ t.strictEqual( P[ 0 ], qre[ i ], 'returns expected real component' );
+ } else {
+ tol = EPS * abs( qre[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. real: '+P[ 0 ]+'. expected: '+qre[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ if ( Q[ 0 ] === qim[ i ] ) {
+ t.strictEqual( Q[ 0 ], qim[ i ], 'returns expected imaginary component' );
+ } else {
+ delta = abs( Q[ 0 ] - qim[ i ] );
+ tol = EPS * abs( qim[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. imag: '+Q[ 0 ]+'. expected: '+qim[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tiny negative real components)', function test( t ) {
+ var delta;
+ var tol;
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var i;
+ var P;
+ var Q;
+
+ re1 = tinyNegativeRealComponents.re1;
+ im1 = tinyNegativeRealComponents.im1;
+ re2 = tinyNegativeRealComponents.re2;
+ im2 = tinyNegativeRealComponents.im2;
+ qre = tinyNegativeRealComponents.qre;
+ qim = tinyNegativeRealComponents.qim;
+ P = new Float64Array( 1 );
+ Q = new Float64Array( 1 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ dladiv( re1[ i ], im1[ i ], re2[ i ], im2[ i ], P, Q );
+
+ if ( P[ 0 ] === qre[ i ] ) {
+ t.strictEqual( P[ 0 ], qre[ i ], 'returns expected real component' );
+ } else {
+ delta = abs( P[ 0 ] - qre[ i ] );
+ tol = EPS * abs( qre[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. real: '+P[ 0 ]+'. expected: '+qre[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ if ( Q[ 0 ] === qim[ i ] ) {
+ t.strictEqual( Q[ 0 ], qim[ i ], 'returns expected imaginary component' );
+ } else {
+ delta = abs( Q[ 0 ] - qim[ i ] );
+ tol = EPS * abs( qim[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. imag: '+Q[ 0 ]+'. expected: '+qim[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tiny positive imaginary components)', function test( t ) {
+ var delta;
+ var tol;
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var i;
+ var P;
+ var Q;
+
+ re1 = tinyPositiveImaginaryComponents.re1;
+ im1 = tinyPositiveImaginaryComponents.im1;
+ re2 = tinyPositiveImaginaryComponents.re2;
+ im2 = tinyPositiveImaginaryComponents.im2;
+ qre = tinyPositiveImaginaryComponents.qre;
+ qim = tinyPositiveImaginaryComponents.qim;
+ P = new Float64Array( 1 );
+ Q = new Float64Array( 1 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ dladiv( re1[ i ], im1[ i ], re2[ i ], im2[ i ], P, Q );
+
+ if ( P[ 0 ] === qre[ i ] ) {
+ t.strictEqual( P[ 0 ], qre[ i ], 'returns expected real component' );
+ } else {
+ delta = abs( P[ 0 ] - qre[ i ] );
+ tol = EPS * abs( qre[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. real: '+P[ 0 ]+'. expected: '+qre[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ if ( Q[ 0 ] === qim[ i ] ) {
+ t.strictEqual( Q[ 0 ], qim[ i ], 'returns expected imaginary component' );
+ } else {
+ delta = abs( Q[ 0 ] - qim[ i ] );
+ tol = EPS * abs( qim[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. imag: '+Q[ 0 ]+'. expected: '+qim[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tiny positive real components)', function test( t ) {
+ var delta;
+ var tol;
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var i;
+ var P;
+ var Q;
+
+ re1 = tinyPositiveRealComponents.re1;
+ im1 = tinyPositiveRealComponents.im1;
+ re2 = tinyPositiveRealComponents.re2;
+ im2 = tinyPositiveRealComponents.im2;
+ qre = tinyPositiveRealComponents.qre;
+ qim = tinyPositiveRealComponents.qim;
+ P = new Float64Array( 1 );
+ Q = new Float64Array( 1 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ dladiv( re1[ i ], im1[ i ], re2[ i ], im2[ i ], P, Q );
+
+ if ( P[ 0 ] === qre[ i ] ) {
+ t.strictEqual( P[ 0 ], qre[ i ], 'returns expected real component' );
+ } else {
+ delta = abs( P[ 0 ] - qre[ i ] );
+ tol = EPS * abs( qre[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. real: '+P[ 0 ]+'. expected: '+qre[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ if ( Q[ 0 ] === qim[ i ] ) {
+ t.strictEqual( Q[ 0 ], qim[ i ], 'returns expected imaginary component' );
+ } else {
+ delta = abs( Q[ 0 ] - qim[ i ] );
+ tol = EPS * abs( qim[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. imag: '+Q[ 0 ]+'. expected: '+qim[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/test/test.js b/lib/node_modules/@stdlib/lapack/base/dladiv/test/test.js
new file mode 100644
index 000000000000..45ac7561adf5
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/test/test.js
@@ -0,0 +1,82 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var proxyquire = require( 'proxyquire' );
+var IS_BROWSER = require( '@stdlib/assert/is-browser' );
+var dladiv = require( './../lib' );
+
+
+// VARIABLES //
+
+var opts = {
+ 'skip': IS_BROWSER
+};
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof dladiv, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'attached to the main export is a method providing an ndarray interface', function test( t ) {
+ t.strictEqual( typeof dladiv.ndarray, 'function', 'method is a function' );
+ t.end();
+});
+
+tape( 'if a native implementation is available, the main export is the native implementation', opts, function test( t ) {
+ var dladiv = proxyquire( './../lib', {
+ '@stdlib/utils/try-require': tryRequire
+ });
+
+ t.strictEqual( dladiv, mock, 'returns expected value' );
+ t.end();
+
+ function tryRequire() {
+ return mock;
+ }
+
+ function mock() {
+ // Mock...
+ }
+});
+
+tape( 'if a native implementation is not available, the main export is a JavaScript implementation', opts, function test( t ) {
+ var dladiv;
+ var main;
+
+ main = require( './../lib/dladiv.js' );
+
+ dladiv = proxyquire( './../lib', {
+ '@stdlib/utils/try-require': tryRequire
+ });
+
+ t.strictEqual( dladiv, main, 'returns expected value' );
+ t.end();
+
+ function tryRequire() {
+ return new Error( 'Cannot find module' );
+ }
+});
diff --git a/lib/node_modules/@stdlib/lapack/base/dladiv/test/test.ndarray.js b/lib/node_modules/@stdlib/lapack/base/dladiv/test/test.ndarray.js
new file mode 100644
index 000000000000..d4fc0725e828
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dladiv/test/test.ndarray.js
@@ -0,0 +1,662 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable id-length */
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var abs = require( '@stdlib/math/base/special/abs' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var Float64Array = require( '@stdlib/array/float64' );
+var dladiv = require( './../lib/ndarray.js' );
+
+
+// FIXTURES //
+
+var data = require( './fixtures/julia/data.json' );
+var componentScales1 = require( './fixtures/julia/component_scales1.json' );
+var componentScales2 = require( './fixtures/julia/component_scales2.json' );
+var imaginaryComponentScales = require( './fixtures/julia/imaginary_component_scales.json' );
+var realComponentScales = require( './fixtures/julia/real_component_scales.json' );
+var largeNegativeImaginaryComponents = require( './fixtures/julia/large_negative_imaginary_components.json' );
+var largeNegativeRealComponents = require( './fixtures/julia/large_negative_real_components.json' );
+var largePositiveImaginaryComponents = require( './fixtures/julia/large_positive_imaginary_components.json' );
+var largePositiveRealComponents = require( './fixtures/julia/large_positive_real_components.json' );
+var tinyNegativeImaginaryComponents = require( './fixtures/julia/tiny_negative_imaginary_components.json' );
+var tinyNegativeRealComponents = require( './fixtures/julia/tiny_negative_real_components.json' );
+var tinyPositiveImaginaryComponents = require( './fixtures/julia/tiny_positive_imaginary_components.json' );
+var tinyPositiveRealComponents = require( './fixtures/julia/tiny_positive_real_components.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof dladiv, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 8', function test( t ) {
+ t.strictEqual( dladiv.length, 8, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tested against fixtures)', function test( t ) {
+ var delta;
+ var tol;
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var i;
+ var P;
+ var Q;
+
+ re1 = data.re1;
+ im1 = data.im1;
+ re2 = data.re2;
+ im2 = data.im2;
+ qre = data.qre;
+ qim = data.qim;
+ P = new Float64Array( 1 );
+ Q = new Float64Array( 1 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ dladiv( re1[ i ], im1[ i ], re2[ i ], im2[ i ], P, 0, Q, 0 );
+
+ if ( P[ 0 ] === qre[ i ] ) {
+ t.strictEqual( P[ 0 ], qre[ i ], 'returns expected real component' );
+ } else {
+ delta = abs( P[ 0 ] - qre[ i ] );
+ tol = EPS * abs( qre[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. real: '+P[ 0 ]+'. expected: '+qre[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ if ( Q[ 0 ] === qim[ i ] ) {
+ t.strictEqual( Q[ 0 ], qim[ i ], 'returns expected imaginary component' );
+ } else {
+ delta = abs( Q[ 0 ] - qim[ i ] );
+ tol = EPS * abs( qim[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. imag: '+Q[ 0 ]+'. expected: '+qim[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (different component scales)', function test( t ) {
+ var delta;
+ var tol;
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var i;
+ var P;
+ var Q;
+
+ re1 = componentScales1.re1;
+ im1 = componentScales1.im1;
+ re2 = componentScales1.re2;
+ im2 = componentScales1.im2;
+ qre = componentScales1.qre;
+ qim = componentScales1.qim;
+ P = new Float64Array( 1 );
+ Q = new Float64Array( 1 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ dladiv( re1[ i ], im1[ i ], re2[ i ], im2[ i ], P, 0, Q, 0 );
+
+ if ( P[ 0 ] === qre[ i ] ) {
+ t.strictEqual( P[ 0 ], qre[ i ], 'returns expected real component' );
+ } else {
+ delta = abs( P[ 0 ] - qre[ i ] );
+ tol = EPS * abs( qre[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. real: '+P[ 0 ]+'. expected: '+qre[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ if ( Q[ 0 ] === qim[ i ] ) {
+ t.strictEqual( Q[ 0 ], qim[ i ], 'returns expected imaginary component' );
+ } else {
+ delta = abs( Q[ 0 ] - qim[ i ] );
+ tol = EPS * abs( qim[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. imag: '+Q[ 0 ]+'. expected: '+qim[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (different component scales)', function test( t ) {
+ var delta;
+ var tol;
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var i;
+ var P;
+ var Q;
+
+ re1 = componentScales2.re1;
+ im1 = componentScales2.im1;
+ re2 = componentScales2.re2;
+ im2 = componentScales2.im2;
+ qre = componentScales2.qre;
+ qim = componentScales2.qim;
+ P = new Float64Array( 1 );
+ Q = new Float64Array( 1 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ dladiv( re1[ i ], im1[ i ], re2[ i ], im2[ i ], P, 0, Q, 0 );
+
+ if ( P[ 0 ] === qre[ i ] ) {
+ t.strictEqual( P[ 0 ], qre[ i ], 'returns expected real component' );
+ } else {
+ delta = abs( P[ 0 ] - qre[ i ] );
+ tol = EPS * abs( qre[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. real: '+P[ 0 ]+'. expected: '+qre[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ if ( Q[ 0 ] === qim[ i ] ) {
+ t.strictEqual( Q[ 0 ], qim[ i ], 'returns expected imaginary component' );
+ } else {
+ delta = abs( Q[ 0 ] - qim[ i ] );
+ tol = EPS * abs( qim[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. imag: '+Q[ 0 ]+'. expected: '+qim[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (different imaginary component scales)', function test( t ) {
+ var delta;
+ var tol;
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var i;
+ var P;
+ var Q;
+
+ re1 = imaginaryComponentScales.re1;
+ im1 = imaginaryComponentScales.im1;
+ re2 = imaginaryComponentScales.re2;
+ im2 = imaginaryComponentScales.im2;
+ qre = imaginaryComponentScales.qre;
+ qim = imaginaryComponentScales.qim;
+ P = new Float64Array( 1 );
+ Q = new Float64Array( 1 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ dladiv( re1[ i ], im1[ i ], re2[ i ], im2[ i ], P, 0, Q, 0 );
+
+ if ( P[ 0 ] === qre[ i ] ) {
+ t.strictEqual( P[ 0 ], qre[ i ], 'returns expected real component' );
+ } else {
+ delta = abs( P[ 0 ] - qre[ i ] );
+ tol = EPS * abs( qre[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. real: '+P[ 0 ]+'. expected: '+qre[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ if ( Q[ 0 ] === qim[ i ] ) {
+ t.strictEqual( Q[ 0 ], qim[ i ], 'returns expected imaginary component' );
+ } else {
+ delta = abs( Q[ 0 ] - qim[ i ] );
+ tol = EPS * abs( qim[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. imag: '+Q[ 0 ]+'. expected: '+qim[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (real imaginary component scales)', function test( t ) {
+ var delta;
+ var tol;
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var i;
+ var P;
+ var Q;
+
+ re1 = realComponentScales.re1;
+ im1 = realComponentScales.im1;
+ re2 = realComponentScales.re2;
+ im2 = realComponentScales.im2;
+ qre = realComponentScales.qre;
+ qim = realComponentScales.qim;
+ P = new Float64Array( 1 );
+ Q = new Float64Array( 1 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ dladiv( re1[ i ], im1[ i ], re2[ i ], im2[ i ], P, 0, Q, 0 );
+
+ if ( P[ 0 ] === qre[ i ] ) {
+ t.strictEqual( P[ 0 ], qre[ i ], 'returns expected real component' );
+ } else {
+ delta = abs( P[ 0 ] - qre[ i ] );
+ tol = EPS * abs( qre[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. real: '+P[ 0 ]+'. expected: '+qre[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ if ( Q[ 0 ] === qim[ i ] ) {
+ t.strictEqual( Q[ 0 ], qim[ i ], 'returns expected imaginary component' );
+ } else {
+ delta = abs( Q[ 0 ] - qim[ i ] );
+ tol = EPS * abs( qim[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. imag: '+Q[ 0 ]+'. expected: '+qim[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (large negative imaginary components)', function test( t ) {
+ var delta;
+ var tol;
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var i;
+ var P;
+ var Q;
+
+ re1 = largeNegativeImaginaryComponents.re1;
+ im1 = largeNegativeImaginaryComponents.im1;
+ re2 = largeNegativeImaginaryComponents.re2;
+ im2 = largeNegativeImaginaryComponents.im2;
+ qre = largeNegativeImaginaryComponents.qre;
+ qim = largeNegativeImaginaryComponents.qim;
+ P = new Float64Array( 1 );
+ Q = new Float64Array( 1 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ dladiv( re1[ i ], im1[ i ], re2[ i ], im2[ i ], P, 0, Q, 0 );
+
+ if ( P[ 0 ] === qre[ i ] ) {
+ t.strictEqual( P[ 0 ], qre[ i ], 'returns expected real component' );
+ } else {
+ delta = abs( P[ 0 ] - qre[ i ] );
+ tol = EPS * abs( qre[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. real: '+P[ 0 ]+'. expected: '+qre[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ if ( Q[ 0 ] === qim[ i ] ) {
+ t.strictEqual( Q[ 0 ], qim[ i ], 'returns expected imaginary component' );
+ } else {
+ delta = abs( Q[ 0 ] - qim[ i ] );
+ tol = EPS * abs( qim[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. imag: '+Q[ 0 ]+'. expected: '+qim[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (large negative real components)', function test( t ) {
+ var delta;
+ var tol;
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var i;
+ var P;
+ var Q;
+
+ re1 = largeNegativeRealComponents.re1;
+ im1 = largeNegativeRealComponents.im1;
+ re2 = largeNegativeRealComponents.re2;
+ im2 = largeNegativeRealComponents.im2;
+ qre = largeNegativeRealComponents.qre;
+ qim = largeNegativeRealComponents.qim;
+ P = new Float64Array( 1 );
+ Q = new Float64Array( 1 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ dladiv( re1[ i ], im1[ i ], re2[ i ], im2[ i ], P, 0, Q, 0 );
+
+ if ( P[ 0 ] === qre[ i ] ) {
+ t.strictEqual( P[ 0 ], qre[ i ], 'returns expected real component' );
+ } else {
+ delta = abs( P[ 0 ] - qre[ i ] );
+ tol = EPS * abs( qre[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. real: '+P[ 0 ]+'. expected: '+qre[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ if ( Q[ 0 ] === qim[ i ] ) {
+ t.strictEqual( Q[ 0 ], qim[ i ], 'returns expected imaginary component' );
+ } else {
+ delta = abs( Q[ 0 ] - qim[ i ] );
+ tol = EPS * abs( qim[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. imag: '+Q[ 0 ]+'. expected: '+qim[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (large positive imaginary components)', function test( t ) {
+ var delta;
+ var tol;
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var i;
+ var P;
+ var Q;
+
+ re1 = largePositiveImaginaryComponents.re1;
+ im1 = largePositiveImaginaryComponents.im1;
+ re2 = largePositiveImaginaryComponents.re2;
+ im2 = largePositiveImaginaryComponents.im2;
+ qre = largePositiveImaginaryComponents.qre;
+ qim = largePositiveImaginaryComponents.qim;
+ P = new Float64Array( 1 );
+ Q = new Float64Array( 1 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ dladiv( re1[ i ], im1[ i ], re2[ i ], im2[ i ], P, 0, Q, 0 );
+
+ if ( P[ 0 ] === qre[ i ] ) {
+ t.strictEqual( P[ 0 ], qre[ i ], 'returns expected real component' );
+ } else {
+ delta = abs( P[ 0 ] - qre[ i ] );
+ tol = EPS * abs( qre[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. real: '+P[ 0 ]+'. expected: '+qre[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ if ( Q[ 0 ] === qim[ i ] ) {
+ t.strictEqual( Q[ 0 ], qim[ i ], 'returns expected imaginary component' );
+ } else {
+ delta = abs( Q[ 0 ] - qim[ i ] );
+ tol = EPS * abs( qim[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. imag: '+Q[ 0 ]+'. expected: '+qim[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (large positive real components)', function test( t ) {
+ var delta;
+ var tol;
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var i;
+ var P;
+ var Q;
+
+ re1 = largePositiveRealComponents.re1;
+ im1 = largePositiveRealComponents.im1;
+ re2 = largePositiveRealComponents.re2;
+ im2 = largePositiveRealComponents.im2;
+ qre = largePositiveRealComponents.qre;
+ qim = largePositiveRealComponents.qim;
+ P = new Float64Array( 1 );
+ Q = new Float64Array( 1 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ dladiv( re1[ i ], im1[ i ], re2[ i ], im2[ i ], P, 0, Q, 0 );
+
+ if ( P[ 0 ] === qre[ i ] ) {
+ t.strictEqual( P[ 0 ], qre[ i ], 'returns expected real component' );
+ } else {
+ delta = abs( P[ 0 ] - qre[ i ] );
+ tol = EPS * abs( qre[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. real: '+P[ 0 ]+'. expected: '+qre[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ if ( Q[ 0 ] === qim[ i ] ) {
+ t.strictEqual( Q[ 0 ], qim[ i ], 'returns expected imaginary component' );
+ } else {
+ delta = abs( Q[ 0 ] - qim[ i ] );
+ tol = EPS * abs( qim[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. imag: '+Q[ 0 ]+'. expected: '+qim[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tiny negative imaginary components)', function test( t ) {
+ var delta;
+ var tol;
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var i;
+ var P;
+ var Q;
+
+ re1 = tinyNegativeImaginaryComponents.re1;
+ im1 = tinyNegativeImaginaryComponents.im1;
+ re2 = tinyNegativeImaginaryComponents.re2;
+ im2 = tinyNegativeImaginaryComponents.im2;
+ qre = tinyNegativeImaginaryComponents.qre;
+ qim = tinyNegativeImaginaryComponents.qim;
+ P = new Float64Array( 1 );
+ Q = new Float64Array( 1 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ dladiv( re1[ i ], im1[ i ], re2[ i ], im2[ i ], P, 0, Q, 0 );
+
+ if ( P[ 0 ] === qre[ i ] ) {
+ t.strictEqual( P[ 0 ], qre[ i ], 'returns expected real component' );
+ } else {
+ delta = abs( P[ 0 ] - qre[ i ] );
+ tol = EPS * abs( qre[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. real: '+P[ 0 ]+'. expected: '+qre[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ if ( Q[ 0 ] === qim[ i ] ) {
+ t.strictEqual( Q[ 0 ], qim[ i ], 'returns expected imaginary component' );
+ } else {
+ delta = abs( Q[ 0 ] - qim[ i ] );
+ tol = EPS * abs( qim[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. imag: '+Q[ 0 ]+'. expected: '+qim[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tiny negative real components)', function test( t ) {
+ var delta;
+ var tol;
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var i;
+ var P;
+ var Q;
+
+ re1 = tinyNegativeRealComponents.re1;
+ im1 = tinyNegativeRealComponents.im1;
+ re2 = tinyNegativeRealComponents.re2;
+ im2 = tinyNegativeRealComponents.im2;
+ qre = tinyNegativeRealComponents.qre;
+ qim = tinyNegativeRealComponents.qim;
+ P = new Float64Array( 1 );
+ Q = new Float64Array( 1 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ dladiv( re1[ i ], im1[ i ], re2[ i ], im2[ i ], P, 0, Q, 0 );
+
+ if ( P[ 0 ] === qre[ i ] ) {
+ t.strictEqual( P[ 0 ], qre[ i ], 'returns expected real component' );
+ } else {
+ delta = abs( P[ 0 ] - qre[ i ] );
+ tol = EPS * abs( qre[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. real: '+P[ 0 ]+'. expected: '+qre[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ if ( Q[ 0 ] === qim[ i ] ) {
+ t.strictEqual( Q[ 0 ], qim[ i ], 'returns expected imaginary component' );
+ } else {
+ delta = abs( Q[ 0 ] - qim[ i ] );
+ tol = EPS * abs( qim[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. imag: '+Q[ 0 ]+'. expected: '+qim[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tiny positive imaginary components)', function test( t ) {
+ var delta;
+ var tol;
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var i;
+ var P;
+ var Q;
+
+ re1 = tinyPositiveImaginaryComponents.re1;
+ im1 = tinyPositiveImaginaryComponents.im1;
+ re2 = tinyPositiveImaginaryComponents.re2;
+ im2 = tinyPositiveImaginaryComponents.im2;
+ qre = tinyPositiveImaginaryComponents.qre;
+ qim = tinyPositiveImaginaryComponents.qim;
+ P = new Float64Array( 1 );
+ Q = new Float64Array( 1 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ dladiv( re1[ i ], im1[ i ], re2[ i ], im2[ i ], P, 0, Q, 0 );
+
+ if ( P[ 0 ] === qre[ i ] ) {
+ t.strictEqual( P[ 0 ], qre[ i ], 'returns expected real component' );
+ } else {
+ delta = abs( P[ 0 ] - qre[ i ] );
+ tol = EPS * abs( qre[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. real: '+P[ 0 ]+'. expected: '+qre[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ if ( Q[ 0 ] === qim[ i ] ) {
+ t.strictEqual( Q[ 0 ], qim[ i ], 'returns expected imaginary component' );
+ } else {
+ delta = abs( Q[ 0 ] - qim[ i ] );
+ tol = EPS * abs( qim[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. imag: '+Q[ 0 ]+'. expected: '+qim[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tiny positive real components)', function test( t ) {
+ var delta;
+ var tol;
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var i;
+ var P;
+ var Q;
+
+ re1 = tinyPositiveRealComponents.re1;
+ im1 = tinyPositiveRealComponents.im1;
+ re2 = tinyPositiveRealComponents.re2;
+ im2 = tinyPositiveRealComponents.im2;
+ qre = tinyPositiveRealComponents.qre;
+ qim = tinyPositiveRealComponents.qim;
+ P = new Float64Array( 1 );
+ Q = new Float64Array( 1 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ dladiv( re1[ i ], im1[ i ], re2[ i ], im2[ i ], P, 0, Q, 0 );
+
+ if ( P[ 0 ] === qre[ i ] ) {
+ t.strictEqual( P[ 0 ], qre[ i ], 'returns expected real component' );
+ } else {
+ delta = abs( P[ 0 ] - qre[ i ] );
+ tol = EPS * abs( qre[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. real: '+P[ 0 ]+'. expected: '+qre[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ if ( Q[ 0 ] === qim[ i ] ) {
+ t.strictEqual( Q[ 0 ], qim[ i ], 'returns expected imaginary component' );
+ } else {
+ delta = abs( Q[ 0 ] - qim[ i ] );
+ tol = EPS * abs( qim[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. imag: '+Q[ 0 ]+'. expected: '+qim[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
+
+tape( 'the function supports array offsets', function test( t ) {
+ var delta;
+ var tol;
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var i;
+ var P;
+ var Q;
+
+ re1 = data.re1;
+ im1 = data.im1;
+ re2 = data.re2;
+ im2 = data.im2;
+ qre = data.qre;
+ qim = data.qim;
+ P = new Float64Array( 3 );
+ Q = new Float64Array( 3 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ dladiv( re1[ i ], im1[ i ], re2[ i ], im2[ i ], P, 1, Q, 2 );
+
+ if ( P[ 1 ] === qre[ i ] ) {
+ t.strictEqual( P[ 1 ], qre[ i ], 'returns expected real component' );
+ } else {
+ delta = abs( P[ 1 ] - qre[ i ] );
+ tol = EPS * abs( qre[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. real: '+P[ 1 ]+'. expected: '+qre[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ if ( Q[ 2 ] === qim[ i ] ) {
+ t.strictEqual( Q[ 2 ], qim[ i ], 'returns expected imaginary component' );
+ } else {
+ delta = abs( Q[ 2 ] - qim[ i ] );
+ tol = EPS * abs( qim[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+re1[i]+' + '+im1[i]+'i. y: '+re2[i]+' + '+im2[i]+'i. imag: '+Q[ 2 ]+'. expected: '+qim[i]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});