diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/README.md b/lib/node_modules/@stdlib/complex/float32/base/div/README.md
new file mode 100644
index 000000000000..ed66eb6b866e
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/README.md
@@ -0,0 +1,290 @@
+
+
+# div
+
+> Divide two single-precision complex floating-point numbers.
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var div = require( '@stdlib/complex/float32/base/div' );
+```
+
+#### div( z1, z2 )
+
+Divides two single-precision complex floating-point numbers.
+
+```javascript
+var Complex64 = require( '@stdlib/complex/float32/ctor' );
+
+var z1 = new Complex64( -13.0, -1.0 );
+var z2 = new Complex64( -2.0, 1.0 );
+
+var v = div( z1, z2 );
+// returns [ 5.0, 3.0 ]
+```
+
+#### div.assign( re1, im1, re2, im2, out, strideOut, offsetOut )
+
+Divides two single-precision complex floating-point numbers and assigns results to a provided output array.
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+
+var out = new Float32Array( 2 );
+var v = div.assign( -13.0, -1.0, -2.0, 1.0, out, 1, 0 );
+// returns [ 5.0, 3.0 ]
+
+var bool = ( out === v );
+// returns true
+```
+
+The function supports the following parameters:
+
+- **re1**: real component of the first complex number.
+- **im1**: imaginary component of the first complex number.
+- **re2**: real component of the second complex number.
+- **im2**: imaginary component of the second complex number.
+- **out**: output array.
+- **strideOut**: stride length for `out`.
+- **offsetOut**: starting index for `out`.
+
+#### div.strided( z1, sz1, oz1, z2, sz2, oz2, out, so, oo )
+
+Divides two single-precision complex floating-point numbers stored in real-valued strided array views and assigns results to a provided strided output array.
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+
+var z1 = new Float32Array( [ -13.0, -1.0 ] );
+var z2 = new Float32Array( [ -2.0, 1.0 ] );
+var out = new Float32Array( 2 );
+
+var v = div.strided( z1, 1, 0, z2, 1, 0, out, 1, 0 );
+// returns [ 5.0, 3.0 ]
+
+var bool = ( out === v );
+// returns true
+```
+
+The function supports the following parameters:
+
+- **z1**: first complex number strided array view.
+- **sz1**: stride length for `z1`.
+- **oz1**: starting index for `z1`.
+- **z2**: second complex number strided array view.
+- **sz2**: stride length for `z2`.
+- **oz2**: starting index for `z2`.
+- **out**: output array.
+- **so**: stride length for `out`.
+- **oo**: starting index for `out`.
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var Complex64Array = require( '@stdlib/array/complex64' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var logEachMap = require( '@stdlib/console/log-each-map' );
+var div = require( '@stdlib/complex/float32/base/div' );
+
+// Generate arrays of random values:
+var z1 = new Complex64Array( discreteUniform( 200, -50, 50 ) );
+var z2 = new Complex64Array( discreteUniform( 200, -50, 50 ) );
+
+// Perform element-wise division:
+logEachMap( '(%s) / (%s) = %s', z1, z2, div );
+```
+
+
+
+
+
+
+
+* * *
+
+
+
+## C APIs
+
+
+
+
+
+
+
+
+
+
+
+### Usage
+
+```c
+#include "stdlib/complex/float32/base/div.h"
+```
+
+#### stdlib_base_complex64_div( z1, z2 )
+
+Divides two single-precision complex floating-point numbers.
+
+```c
+#include "stdlib/complex/float32/ctor.h"
+#include "stdlib/complex/float32/real.h"
+#include "stdlib/complex/float32/imag.h"
+
+stdlib_complex64_t z1 = stdlib_complex64( -13.0f, -1.0f );
+stdlib_complex64_t z2 = stdlib_complex64( -2.0f, 1.0f );
+
+stdlib_complex64_t out = stdlib_base_complex64_div( z1, z2 );
+
+float re = stdlib_complex64_real( out );
+// returns 5.0f
+
+float im = stdlib_complex64_imag( out );
+// returns 3.0f
+```
+
+The function accepts the following arguments:
+
+- **z1**: `[in] stdlib_complex64_t` input value.
+- **z2**: `[in] stdlib_complex64_t` input value.
+
+```c
+stdlib_complex64_t stdlib_base_complex64_div( const stdlib_complex64_t z1, const stdlib_complex64_t z2 );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+### Examples
+
+```c
+#include "stdlib/complex/float32/base/div.h"
+#include "stdlib/complex/float32/ctor.h"
+#include "stdlib/complex/float32/reim.h"
+#include
+
+int main( void ) {
+ const stdlib_complex64_t x[] = {
+ stdlib_complex64( -13.0f, -1.0f ),
+ stdlib_complex64( 3.14f, 1.5f ),
+ stdlib_complex64( 0.0f, -0.0f ),
+ stdlib_complex64( 0.0f/0.0f, 0.0f/0.0f )
+ };
+ const stdlib_complex64_t y[] = {
+ stdlib_complex64( -2.0f, 1.0f ),
+ stdlib_complex64( -3.14f, 1.5f ),
+ stdlib_complex64( 1.0f, 2.0f ),
+ stdlib_complex64( 0.0f/0.0f, 0.0f/0.0f )
+ };
+
+ stdlib_complex64_t v;
+ float re;
+ float im;
+ int i;
+ for ( i = 0; i < 4; i++ ) {
+ stdlib_complex64_reim( x[ i ], &re, &im );
+ printf( "z1 = %f + %fi\n", re, im );
+
+ stdlib_complex64_reim( y[ i ], &re, &im );
+ printf( "z2 = %f + %fi\n", re, im );
+
+ v = stdlib_base_complex64_div( x[ i ], y[ i ] );
+ stdlib_complex64_reim( v, &re, &im );
+ printf( "div(z1, z2) = %f + %fi\n", re, im );
+ }
+}
+```
+
+
+
+
+
+
+
+
+
+* * *
+
+
+
+## References
+
+- Smith, Robert L. 1962. "Algorithm 116: Complex Division." _Commun. ACM_ 5 (8). New York, NY, USA: ACM: 435. doi:[10.1145/368637.368661][@smith:1962a].
+- Stewart, G. W. 1985. "A Note on Complex Division." _ACM Trans. Math. Softw._ 11 (3). New York, NY, USA: ACM: 238–41. doi:[10.1145/214408.214414][@stewart:1985a].
+- Priest, Douglas M. 2004. "Efficient Scaling for Complex Division." _ACM Trans. Math. Softw._ 30 (4). New York, NY, USA: ACM: 389–401. doi:[10.1145/1039813.1039814][@priest:2004a].
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[@smith:1962a]: https://doi.org/10.1145/368637.368661
+
+[@stewart:1985a]: https://doi.org/10.1145/214408.214414
+
+[@priest:2004a]: https://doi.org/10.1145/1039813.1039814
+
+
+
+
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/benchmark.assign.js b/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/benchmark.assign.js
new file mode 100644
index 000000000000..c8343381ec5c
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/benchmark.assign.js
@@ -0,0 +1,71 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var Float32Array = require( '@stdlib/array/float32' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var div = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'float32'
+};
+
+
+// MAIN //
+
+bench( format( '%s:assign', pkg ), function benchmark( b ) {
+ var out;
+ var re;
+ var im;
+ var N;
+ var i;
+ var j;
+ var k;
+
+ N = 100;
+ re = uniform( N, -500.0, 500.0, options );
+ im = uniform( N, -500.0, 500.0, options );
+
+ out = new Float32Array( 2 );
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ j = i % N;
+ k = ( i+1 ) % N;
+ out = div.assign( re[ j ], im[ j ], re[ k ], im[ k ], out, 1, 0 );
+ if ( typeof out !== 'object' ) {
+ b.fail( 'should return an object' );
+ }
+ }
+ b.toc();
+ if ( isnanf( out[ 0 ] ) || isnanf( out[ 1 ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/benchmark.js b/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/benchmark.js
new file mode 100644
index 000000000000..2a11ab6ad69c
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/benchmark.js
@@ -0,0 +1,112 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 Complex64 = require( '@stdlib/complex/float32/ctor' );
+var isComplex64 = require( '@stdlib/assert/is-complex64' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var realf = require( '@stdlib/complex/float32/real' );
+var imagf = require( '@stdlib/complex/float32/imag' );
+var abs = require( '@stdlib/math/base/special/abs' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var div = require( './../lib' );
+
+
+// MAIN //
+
+bench( pkg, function benchmark( b ) {
+ var values;
+ var y;
+ var i;
+ var z;
+
+ values = [
+ new Complex64( uniform( -500.0, 500.0 ), uniform( -500.0, 500.0 ) ),
+ new Complex64( uniform( -500.0, 500.0 ), uniform( -500.0, 500.0 ) )
+ ];
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ z = values[ i % values.length ];
+ y = div( z, z );
+ if ( typeof y !== 'object' ) {
+ b.fail( 'should return an object' );
+ }
+ }
+ b.toc();
+ if ( !isComplex64( y ) ) {
+ b.fail( 'should return a Complex64' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
+
+bench( format( '%s::smiths_algorithm', pkg ), function benchmark( b ) {
+ var values;
+ var y;
+ var i;
+ var z;
+
+ values = [
+ new Complex64( uniform( -500.0, 500.0 ), uniform( -500.0, 500.0 ) ),
+ new Complex64( uniform( -500.0, 500.0 ), uniform( -500.0, 500.0 ) )
+ ];
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ z = values[ i % values.length ];
+ y = div( z, z );
+ if ( typeof y !== 'object' ) {
+ b.fail( 'should return an object' );
+ }
+ }
+ b.toc();
+ if ( !isComplex64( y ) ) {
+ b.fail( 'should return a Complex64' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+
+ function div( z1, z2 ) {
+ var re1;
+ var re2;
+ var im1;
+ var im2;
+ var a;
+ var b;
+
+ re1 = realf( z1 );
+ re2 = realf( z2 );
+ im1 = imagf( z1 );
+ im2 = imagf( z2 );
+
+ if ( abs( re2 ) >= abs( im2 ) ) {
+ a = im2 / re2;
+ b = re2 + ( im2 * a );
+ return new Complex64( ( re1 + (im1 * a) )/b, (im1 - (re1*a) )/b );
+ }
+ a = re2 / im2;
+ b = ( re2 * a ) + im2;
+ return new Complex64( ( (re1*a) + im1 )/b, ( (im1*a) - re1 )/b );
+ }
+});
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/benchmark.native.js
new file mode 100644
index 000000000000..2f6436fb45a8
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/benchmark.native.js
@@ -0,0 +1,70 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 resolve = require( 'path' ).resolve;
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var Complex64 = require( '@stdlib/complex/float32/ctor' );
+var realf = require( '@stdlib/complex/float32/real' );
+var imagf = require( '@stdlib/complex/float32/imag' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+
+
+// VARIABLES //
+
+var div = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+ 'skip': ( div instanceof Error )
+};
+
+
+// MAIN //
+
+bench( format( '%s::native', pkg ), opts, function benchmark( b ) {
+ var values;
+ var out;
+ var z;
+ var i;
+
+ values = [
+ new Complex64( uniform( -500.0, 500.0 ), uniform( -500.0, 500.0 ) ),
+ new Complex64( uniform( -500.0, 500.0 ), uniform( -500.0, 500.0 ) )
+ ];
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ z = values[ i%values.length ];
+ out = div( z, z );
+ if ( typeof out !== 'object' ) {
+ b.fail( 'should return an object' );
+ }
+ }
+ b.toc();
+ if ( isnanf( realf( out ) ) || isnanf( imagf( out ) ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/benchmark.strided.js b/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/benchmark.strided.js
new file mode 100644
index 000000000000..a672f206d172
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/benchmark.strided.js
@@ -0,0 +1,69 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var Float32Array = require( '@stdlib/array/float32' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var div = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'float32'
+};
+
+
+// MAIN //
+
+bench( format( '%s:strided', pkg ), function benchmark( b ) {
+ var out;
+ var z1;
+ var z2;
+ var N;
+ var i;
+ var j;
+
+ N = 50;
+ z1 = uniform( N*2, -500.0, 500.0, options );
+ z2 = uniform( N*2, -500.0, 500.0, options );
+
+ out = new Float32Array( 2 );
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ j = ( i % N ) * 2;
+ out = div.strided( z1, 1, j, z2, 1, j, out, 1, 0 );
+ if ( typeof out !== 'object' ) {
+ b.fail( 'should return an object' );
+ }
+ }
+ b.toc();
+ if ( isnanf( out[ 0 ] ) || isnanf( out[ 1 ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/c/Makefile b/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/c/Makefile
new file mode 100644
index 000000000000..928de45a1a06
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/c/Makefile
@@ -0,0 +1,127 @@
+#/
+# @license Apache-2.0
+#
+# Copyright (c) 2026 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.
+#/
+
+
+# VARIABLES #
+
+ifndef VERBOSE
+ QUIET := @
+else
+ QUIET :=
+endif
+
+# Determine the OS ([1][1], [2][2]).
+#
+# [1]: https://en.wikipedia.org/wiki/Uname#Examples
+# [2]: http://stackoverflow.com/a/27776822/2225624
+OS ?= $(shell uname)
+ifneq (, $(findstring MINGW,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring MSYS,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring CYGWIN,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring Windows_NT,$(OS)))
+ OS := WINNT
+endif
+endif
+endif
+endif
+
+# Define the program used for compiling C source files:
+ifdef C_COMPILER
+ CC := $(C_COMPILER)
+else
+ CC := gcc
+endif
+
+# Define the command-line options when compiling C files:
+CFLAGS ?= \
+ -std=c99 \
+ -O3 \
+ -Wall \
+ -pedantic
+
+# Determine whether to generate position independent code ([1][1], [2][2]).
+#
+# [1]: https://gcc.gnu.org/onlinedocs/gcc/Code-Gen-Options.html#Code-Gen-Options
+# [2]: http://stackoverflow.com/questions/5311515/gcc-fpic-option
+ifeq ($(OS), WINNT)
+ fPIC ?=
+else
+ fPIC ?= -fPIC
+endif
+
+# List of C targets:
+c_targets := benchmark.out
+
+
+# RULES #
+
+#/
+# Compiles C source files.
+#
+# @param {string} [C_COMPILER] - C compiler
+# @param {string} [CFLAGS] - C compiler flags
+# @param {(string|void)} [fPIC] - compiler flag indicating whether to generate position independent code
+#
+# @example
+# make
+#
+# @example
+# make all
+#/
+all: $(c_targets)
+
+.PHONY: all
+
+#/
+# Compiles C source files.
+#
+# @private
+# @param {string} CC - C compiler
+# @param {string} CFLAGS - C compiler flags
+# @param {(string|void)} fPIC - compiler flag indicating whether to generate position independent code
+#/
+$(c_targets): %.out: %.c
+ $(QUIET) $(CC) $(CFLAGS) $(fPIC) -o $@ $< -lm
+
+#/
+# Runs compiled benchmarks.
+#
+# @example
+# make run
+#/
+run: $(c_targets)
+ $(QUIET) ./$<
+
+.PHONY: run
+
+#/
+# Removes generated files.
+#
+# @example
+# make clean
+#/
+clean:
+ $(QUIET) -rm -f *.o *.out
+
+.PHONY: clean
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/c/benchmark.c
new file mode 100644
index 000000000000..1b9ff8e1a82b
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/c/benchmark.c
@@ -0,0 +1,146 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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.
+*/
+
+#include
+#include
+#include
+#include
+#include
+
+#define NAME "div"
+#define ITERATIONS 1000000
+#define REPEATS 3
+
+/**
+* Prints the TAP version.
+*/
+static void print_version( void ) {
+ printf( "TAP version 13\n" );
+}
+
+/**
+* Prints the TAP summary.
+*
+* @param total total number of tests
+* @param passing total number of passing tests
+*/
+static void print_summary( int total, int passing ) {
+ printf( "#\n" );
+ printf( "1..%d\n", total ); // TAP plan
+ printf( "# total %d\n", total );
+ printf( "# pass %d\n", passing );
+ printf( "#\n" );
+ printf( "# ok\n" );
+}
+
+/**
+* Prints benchmarks results.
+*
+* @param elapsed elapsed time in seconds
+*/
+static void print_results( double elapsed ) {
+ double rate = (double)ITERATIONS / elapsed;
+ printf( " ---\n" );
+ printf( " iterations: %d\n", ITERATIONS );
+ printf( " elapsed: %0.9f\n", elapsed );
+ printf( " rate: %0.9f\n", rate );
+ printf( " ...\n" );
+}
+
+/**
+* Returns a clock time.
+*
+* @return clock time
+*/
+static double tic( void ) {
+ struct timeval now;
+ gettimeofday( &now, NULL );
+ return (double)now.tv_sec + (double)now.tv_usec/1.0e6;
+}
+
+/**
+* Generates a random number on the interval [min,max).
+*
+* @param min minimum value (inclusive)
+* @param max maximum value (exclusive)
+* @return random number
+*/
+static float random_uniform( const float min, const float max ) {
+ float v = (float)rand() / ( (float)RAND_MAX + 1.0f );
+ return min + ( v*(max-min) );
+}
+
+/**
+* Runs a benchmark.
+*
+* @return elapsed time in seconds
+*/
+static double benchmark( void ) {
+ float complex z1[ 100 ];
+ float complex z2[ 100 ];
+ float complex z3;
+ double elapsed;
+ double t;
+ float re;
+ float im;
+ int i;
+
+ for ( i = 0; i < 100; i++ ) {
+ re = random_uniform( -500.0f, 500.0f );
+ im = random_uniform( -500.0f, 500.0f );
+ z1[ i ] = re + im*I;
+
+ re = random_uniform( -500.0f, 500.0f );
+ im = random_uniform( -500.0f, 500.0f );
+ z2[ i ] = re + im*I;
+ }
+
+ t = tic();
+ for ( i = 0; i < ITERATIONS; i++ ) {
+ z3 = z1[ i%100 ] / z2[ i%100 ];
+ if ( z3 != z3 ) {
+ printf( "should not return NaN\n" );
+ break;
+ }
+ }
+ elapsed = tic() - t;
+ if ( z3 != z3 ) {
+ printf( "should not return NaN\n" );
+ }
+ return elapsed;
+}
+
+/**
+* Main execution sequence.
+*/
+int main( void ) {
+ double elapsed;
+ int i;
+
+ // Use the current time to seed the random number generator:
+ srand( time( NULL ) );
+
+ print_version();
+ for ( i = 0; i < REPEATS; i++ ) {
+ printf( "# c::%s\n", NAME );
+ elapsed = benchmark();
+ print_results( elapsed );
+ printf( "ok %d benchmark finished\n", i+1 );
+ }
+ print_summary( REPEATS, REPEATS );
+}
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/c/native/Makefile b/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/c/native/Makefile
new file mode 100644
index 000000000000..979768abbcec
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/c/native/Makefile
@@ -0,0 +1,146 @@
+#/
+# @license Apache-2.0
+#
+# Copyright (c) 2026 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.
+#/
+
+# VARIABLES #
+
+ifndef VERBOSE
+ QUIET := @
+else
+ QUIET :=
+endif
+
+# Determine the OS ([1][1], [2][2]).
+#
+# [1]: https://en.wikipedia.org/wiki/Uname#Examples
+# [2]: http://stackoverflow.com/a/27776822/2225624
+OS ?= $(shell uname)
+ifneq (, $(findstring MINGW,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring MSYS,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring CYGWIN,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring Windows_NT,$(OS)))
+ OS := WINNT
+endif
+endif
+endif
+endif
+
+# Define the program used for compiling C source files:
+ifdef C_COMPILER
+ CC := $(C_COMPILER)
+else
+ CC := gcc
+endif
+
+# Define the command-line options when compiling C files:
+CFLAGS ?= \
+ -std=c99 \
+ -O3 \
+ -Wall \
+ -pedantic
+
+# Determine whether to generate position independent code ([1][1], [2][2]).
+#
+# [1]: https://gcc.gnu.org/onlinedocs/gcc/Code-Gen-Options.html#Code-Gen-Options
+# [2]: http://stackoverflow.com/questions/5311515/gcc-fpic-option
+ifeq ($(OS), WINNT)
+ fPIC ?=
+else
+ fPIC ?= -fPIC
+endif
+
+# List of includes (e.g., `-I /foo/bar -I /beep/boop/include`):
+INCLUDE ?=
+
+# List of source files:
+SOURCE_FILES ?=
+
+# List of libraries (e.g., `-lopenblas -lpthread`):
+LIBRARIES ?=
+
+# List of library paths (e.g., `-L /foo/bar -L /beep/boop`):
+LIBPATH ?=
+
+# List of C targets:
+c_targets := benchmark.out
+
+
+# RULES #
+
+#/
+# Compiles source files.
+#
+# @param {string} [C_COMPILER] - C compiler (e.g., `gcc`)
+# @param {string} [CFLAGS] - C compiler options
+# @param {(string|void)} [fPIC] - compiler flag determining whether to generate position independent code (e.g., `-fPIC`)
+# @param {string} [INCLUDE] - list of includes (e.g., `-I /foo/bar -I /beep/boop/include`)
+# @param {string} [SOURCE_FILES] - list of source files
+# @param {string} [LIBPATH] - list of library paths (e.g., `-L /foo/bar -L /beep/boop`)
+# @param {string} [LIBRARIES] - list of libraries (e.g., `-lopenblas -lpthread`)
+#
+# @example
+# make
+#
+# @example
+# make all
+#/
+all: $(c_targets)
+
+.PHONY: all
+
+#/
+# Compiles C source files.
+#
+# @private
+# @param {string} CC - C compiler (e.g., `gcc`)
+# @param {string} CFLAGS - C compiler options
+# @param {(string|void)} fPIC - compiler flag determining whether to generate position independent code (e.g., `-fPIC`)
+# @param {string} INCLUDE - list of includes (e.g., `-I /foo/bar`)
+# @param {string} SOURCE_FILES - list of source files
+# @param {string} LIBPATH - list of library paths (e.g., `-L /foo/bar`)
+# @param {string} LIBRARIES - list of libraries (e.g., `-lopenblas`)
+#/
+$(c_targets): %.out: %.c
+ $(QUIET) $(CC) $(CFLAGS) $(fPIC) $(INCLUDE) -o $@ $(SOURCE_FILES) $< $(LIBPATH) -lm $(LIBRARIES)
+
+#/
+# Runs compiled benchmarks.
+#
+# @example
+# make run
+#/
+run: $(c_targets)
+ $(QUIET) ./$<
+
+.PHONY: run
+
+#/
+# Removes generated files.
+#
+# @example
+# make clean
+#/
+clean:
+ $(QUIET) -rm -f *.o *.out
+
+.PHONY: clean
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/c/native/benchmark.c b/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/c/native/benchmark.c
new file mode 100644
index 000000000000..c7841fbf00de
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/c/native/benchmark.c
@@ -0,0 +1,150 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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.
+*/
+
+#include "stdlib/complex/float32/base/div.h"
+#include "stdlib/complex/float32/ctor.h"
+#include "stdlib/complex/float32/reim.h"
+#include
+#include
+#include
+#include
+#include
+
+#define NAME "div"
+#define ITERATIONS 1000000
+#define REPEATS 3
+
+/**
+* Prints the TAP version.
+*/
+static void print_version( void ) {
+ printf( "TAP version 13\n" );
+}
+
+/**
+* Prints the TAP summary.
+*
+* @param total total number of tests
+* @param passing total number of passing tests
+*/
+static void print_summary( int total, int passing ) {
+ printf( "#\n" );
+ printf( "1..%d\n", total ); // TAP plan
+ printf( "# total %d\n", total );
+ printf( "# pass %d\n", passing );
+ printf( "#\n" );
+ printf( "# ok\n" );
+}
+
+/**
+* Prints benchmarks results.
+*
+* @param elapsed elapsed time in seconds
+*/
+static void print_results( double elapsed ) {
+ double rate = (double)ITERATIONS / elapsed;
+ printf( " ---\n" );
+ printf( " iterations: %d\n", ITERATIONS );
+ printf( " elapsed: %0.9f\n", elapsed );
+ printf( " rate: %0.9f\n", rate );
+ printf( " ...\n" );
+}
+
+/**
+* Returns a clock time.
+*
+* @return clock time
+*/
+static double tic( void ) {
+ struct timeval now;
+ gettimeofday( &now, NULL );
+ return (double)now.tv_sec + (double)now.tv_usec/1.0e6;
+}
+
+/**
+* Generates a random number on the interval [min,max).
+*
+* @param min minimum value (inclusive)
+* @param max maximum value (exclusive)
+* @return random number
+*/
+static float random_uniform( const float min, const float max ) {
+ float v = (float)rand() / ( (float)RAND_MAX + 1.0f );
+ return min + ( v*(max-min) );
+}
+
+/**
+* Runs a benchmark.
+*
+* @return elapsed time in seconds
+*/
+static double benchmark( void ) {
+ stdlib_complex64_t z1[ 100 ];
+ stdlib_complex64_t z2[ 100 ];
+ stdlib_complex64_t z3;
+ double elapsed;
+ double t;
+ float re;
+ float im;
+ int i;
+
+ for ( i = 0; i < 100; i++ ) {
+ re = random_uniform( -500.0f, 500.0f );
+ im = random_uniform( -500.0f, 500.0f );
+ z1[ i ] = stdlib_complex64( re, im );
+
+ re = random_uniform( -500.0f, 500.0f );
+ im = random_uniform( -500.0f, 500.0f );
+ z2[ i ] = stdlib_complex64( re, im );
+ }
+
+ t = tic();
+ for ( i = 0; i < ITERATIONS; i++ ) {
+ z3 = stdlib_base_complex64_div( z1[ i%100 ], z2[ i%100 ] );
+ stdlib_complex64_reim( z3, &re, &im );
+ if ( re != re ) {
+ printf( "should not return NaN\n" );
+ break;
+ }
+ }
+ elapsed = tic() - t;
+ if ( im != im ) {
+ printf( "should not return NaN\n" );
+ }
+ return elapsed;
+}
+
+/**
+* Main execution sequence.
+*/
+int main( void ) {
+ double elapsed;
+ int i;
+
+ // Use the current time to seed the random number generator:
+ srand( time( NULL ) );
+
+ print_version();
+ for ( i = 0; i < REPEATS; i++ ) {
+ printf( "# c::native::%s\n", NAME );
+ elapsed = benchmark();
+ print_results( elapsed );
+ printf( "ok %d benchmark finished\n", i+1 );
+ }
+ print_summary( REPEATS, REPEATS );
+}
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/julia/REQUIRE b/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/julia/REQUIRE
new file mode 100644
index 000000000000..98645e192e41
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/julia/REQUIRE
@@ -0,0 +1,2 @@
+julia 1.5
+BenchmarkTools 0.5.0
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/julia/benchmark.jl b/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/julia/benchmark.jl
new file mode 100644
index 000000000000..19b58eac8a11
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/benchmark/julia/benchmark.jl
@@ -0,0 +1,144 @@
+#!/usr/bin/env julia
+#
+# @license Apache-2.0
+#
+# Copyright (c) 2026 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 BenchmarkTools
+using Printf
+
+# Benchmark variables:
+name = "divide";
+repeats = 3;
+
+"""
+ print_version()
+
+Prints the TAP version.
+
+# Examples
+
+``` julia
+julia> print_version()
+```
+"""
+function print_version()
+ @printf( "TAP version 13\n" );
+end
+
+"""
+ print_summary( total, passing )
+
+Print the benchmark summary.
+
+# Arguments
+
+* `total`: total number of tests
+* `passing`: number of passing tests
+
+# Examples
+
+``` julia
+julia> print_summary( 3, 3 )
+```
+"""
+function print_summary( total, passing )
+ @printf( "#\n" );
+ @printf( "1..%d\n", total ); # TAP plan
+ @printf( "# total %d\n", total );
+ @printf( "# pass %d\n", passing );
+ @printf( "#\n" );
+ @printf( "# ok\n" );
+end
+
+"""
+ print_results( iterations, elapsed )
+
+Print benchmark results.
+
+# Arguments
+
+* `iterations`: number of iterations
+* `elapsed`: elapsed time (in seconds)
+
+# Examples
+
+``` julia
+julia> print_results( 1000000, 0.131009101868 )
+```
+"""
+function print_results( iterations, elapsed )
+ rate = iterations / elapsed
+
+ @printf( " ---\n" );
+ @printf( " iterations: %d\n", iterations );
+ @printf( " elapsed: %0.9f\n", elapsed );
+ @printf( " rate: %0.9f\n", rate );
+ @printf( " ...\n" );
+end
+
+"""
+ benchmark()
+
+Run a benchmark.
+
+# Notes
+
+* Benchmark results are returned as a two-element array: [ iterations, elapsed ].
+* The number of iterations is not the true number of iterations. Instead, an 'iteration' is defined as a 'sample', which is a computed estimate for a single evaluation.
+* The elapsed time is in seconds.
+
+# Examples
+
+``` julia
+julia> out = benchmark();
+```
+"""
+function benchmark()
+ t = BenchmarkTools.@benchmark ComplexF32( (rand()*1000.0)-500.0, (rand()*1000.0)-500.0 ) / ComplexF32( (rand()*1000.0)-500.0, (rand()*1000.0)-500.0 ) samples=1e6
+
+ # Compute the total "elapsed" time and convert from nanoseconds to seconds:
+ s = sum( t.times ) / 1.0e9;
+
+ # Determine the number of "iterations":
+ iter = length( t.times );
+
+ # Return the results:
+ [ iter, s ];
+end
+
+"""
+ main()
+
+Run benchmarks.
+
+# Examples
+
+``` julia
+julia> main();
+```
+"""
+function main()
+ print_version();
+ for i in 1:repeats
+ @printf( "# julia::%s\n", name );
+ results = benchmark();
+ print_results( results[ 1 ], results[ 2 ] );
+ @printf( "ok %d benchmark finished\n", i );
+ end
+ print_summary( repeats, repeats );
+end
+
+main();
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/binding.gyp b/lib/node_modules/@stdlib/complex/float32/base/div/binding.gyp
new file mode 100644
index 000000000000..0d6508a12e99
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/binding.gyp
@@ -0,0 +1,170 @@
+# @license Apache-2.0
+#
+# Copyright (c) 2026 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.
+
+# A `.gyp` file for building a Node.js native add-on.
+#
+# [1]: https://gyp.gsrc.io/docs/InputFormatReference.md
+# [2]: https://gyp.gsrc.io/docs/UserDocumentation.md
+{
+ # List of files to include in this file:
+ 'includes': [
+ './include.gypi',
+ ],
+
+ # Define variables to be used throughout the configuration for all targets:
+ 'variables': {
+ # Target name should match the add-on export name:
+ 'addon_target_name%': 'addon',
+
+ # Set variables based on the host OS:
+ 'conditions': [
+ [
+ 'OS=="win"',
+ {
+ # Define the object file suffix:
+ 'obj': 'obj',
+ },
+ {
+ # Define the object file suffix:
+ 'obj': 'o',
+ }
+ ], # end condition (OS=="win")
+ ], # end conditions
+ }, # end variables
+
+ # Define compile targets:
+ 'targets': [
+
+ # Target to generate an add-on:
+ {
+ # The target name should match the add-on export name:
+ 'target_name': '<(addon_target_name)',
+
+ # Define dependencies:
+ 'dependencies': [],
+
+ # Define directories which contain relevant include headers:
+ 'include_dirs': [
+ # Local include directory:
+ '<@(include_dirs)',
+ ],
+
+ # List of source files:
+ 'sources': [
+ '<@(src_files)',
+ ],
+
+ # Settings which should be applied when a target's object files are used as linker input:
+ 'link_settings': {
+ # Define libraries:
+ 'libraries': [
+ '<@(libraries)',
+ ],
+
+ # Define library directories:
+ 'library_dirs': [
+ '<@(library_dirs)',
+ ],
+ },
+
+ # C/C++ compiler flags:
+ 'cflags': [
+ # Enable commonly used warning options:
+ '-Wall',
+
+ # Aggressive optimization:
+ '-O3',
+ ],
+
+ # C specific compiler flags:
+ 'cflags_c': [
+ # Specify the C standard to which a program is expected to conform:
+ '-std=c99',
+ ],
+
+ # C++ specific compiler flags:
+ 'cflags_cpp': [
+ # Specify the C++ standard to which a program is expected to conform:
+ '-std=c++11',
+ ],
+
+ # Linker flags:
+ 'ldflags': [],
+
+ # Apply conditions based on the host OS:
+ 'conditions': [
+ [
+ 'OS=="mac"',
+ {
+ # Linker flags:
+ 'ldflags': [
+ '-undefined dynamic_lookup',
+ '-Wl,-no-pie',
+ '-Wl,-search_paths_first',
+ ],
+ },
+ ], # end condition (OS=="mac")
+ [
+ 'OS!="win"',
+ {
+ # C/C++ flags:
+ 'cflags': [
+ # Generate platform-independent code:
+ '-fPIC',
+ ],
+ },
+ ], # end condition (OS!="win")
+ ], # end conditions
+ }, # end target <(addon_target_name)
+
+ # Target to copy a generated add-on to a standard location:
+ {
+ 'target_name': 'copy_addon',
+
+ # Declare that the output of this target is not linked:
+ 'type': 'none',
+
+ # Define dependencies:
+ 'dependencies': [
+ # Require that the add-on be generated before building this target:
+ '<(addon_target_name)',
+ ],
+
+ # Define a list of actions:
+ 'actions': [
+ {
+ 'action_name': 'copy_addon',
+ 'message': 'Copying addon...',
+
+ # Explicitly list the inputs in the command-line invocation below:
+ 'inputs': [],
+
+ # Declare the expected outputs:
+ 'outputs': [
+ '<(addon_output_dir)/<(addon_target_name).node',
+ ],
+
+ # Define the command-line invocation:
+ 'action': [
+ 'cp',
+ '<(PRODUCT_DIR)/<(addon_target_name).node',
+ '<(addon_output_dir)/<(addon_target_name).node',
+ ],
+ },
+ ], # end actions
+ }, # end target copy_addon
+ ], # end targets
+}
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/docs/repl.txt b/lib/node_modules/@stdlib/complex/float32/base/div/docs/repl.txt
new file mode 100644
index 000000000000..5aac21cd182c
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/docs/repl.txt
@@ -0,0 +1,116 @@
+
+{{alias}}( z1, z2 )
+ Divides two single-precision complex floating-point numbers.
+
+ Parameters
+ ----------
+ z1: Complex64
+ Complex number.
+
+ z2: Complex64
+ Complex number.
+
+ Returns
+ -------
+ out: Complex64
+ Result.
+
+ Examples
+ --------
+ > var z1 = new {{alias:@stdlib/complex/float32/ctor}}( -13.0, -1.0 )
+ [ -13.0, -1.0 ]
+ > var z2 = new {{alias:@stdlib/complex/float32/ctor}}( -2.0, 1.0 )
+ [ -2.0, 1.0 ]
+ > var y = {{alias}}( z1, z2 )
+ [ 5.0, 3.0 ]
+
+
+{{alias}}.assign( re1, im1, re2, im2, out, strideOut, offsetOut )
+ Divides two single-precision complex floating-point numbers and assigns
+ results to a provided output array.
+
+ Parameters
+ ----------
+ re1: number
+ Real component of the first complex number.
+
+ im1: number
+ Imaginary component of the first complex number.
+
+ re2: number
+ Real component of the second complex number.
+
+ im2: number
+ Imaginary component of the second complex number.
+
+ out: ArrayLikeObject
+ Output array.
+
+ strideOut: integer
+ Stride length.
+
+ offsetOut: integer
+ Starting index.
+
+ Returns
+ -------
+ out: ArrayLikeObject
+ Output array.
+
+ Examples
+ --------
+ > var out = new {{alias:@stdlib/array/float32}}( 2 );
+ > {{alias}}.assign( -13.0, -1.0, -2.0, 1.0, out, 1, 0 )
+ [ 5.0, 3.0 ]
+
+
+{{alias}}.strided( z1, sz1, oz1, z2, sz2, oz2, out, so, oo )
+ Divides two single-precision complex floating-point numbers stored in real-
+ valued strided array views and assigns results to a provided strided output
+ array.
+
+ Parameters
+ ----------
+ z1: ArrayLikeObject
+ First complex number view.
+
+ sz1: integer
+ Stride length for `z1`.
+
+ oz1: integer
+ Starting index for `z1`.
+
+ z2: ArrayLikeObject
+ Second complex number view.
+
+ sz2: integer
+ Stride length for `z2`.
+
+ oz2: integer
+ Starting index for `z2`.
+
+ out: ArrayLikeObject
+ Output array.
+
+ so: integer
+ Stride length for `out`.
+
+ oo: integer
+ Starting index for `out`.
+
+ Returns
+ -------
+ out: ArrayLikeObject
+ Output array.
+
+ Examples
+ --------
+ > var z1 = new {{alias:@stdlib/array/float32}}( [ -13.0, -1.0 ] );
+ > var z2 = new {{alias:@stdlib/array/float32}}( [ -2.0, 1.0 ] );
+ > var out = new {{alias:@stdlib/array/float32}}( 2 );
+ > {{alias}}.strided( z1, 1, 0, z2, 1, 0, out, 1, 0 )
+ [ 5.0, 3.0 ]
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/docs/types/index.d.ts b/lib/node_modules/@stdlib/complex/float32/base/div/docs/types/index.d.ts
new file mode 100644
index 000000000000..8bb042fe5c9a
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/docs/types/index.d.ts
@@ -0,0 +1,138 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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
+
+///
+
+import { Complex64 } from '@stdlib/types/complex';
+import { Collection, NumericArray } from '@stdlib/types/array';
+
+/**
+* Interface for dividing two single-precision complex floating-point numbers.
+*/
+interface Div {
+ /**
+ * Divides two single-precision complex floating-point numbers.
+ *
+ * @param z1 - complex number
+ * @param z2 - complex number
+ * @returns result
+ *
+ * @example
+ * var Complex64 = require( '@stdlib/complex/float32/ctor' );
+ *
+ * var z1 = new Complex64( -13.0, -1.0 );
+ * var z2 = new Complex64( -2.0, 1.0 );
+ *
+ * var out = div( z1, z2 );
+ * // returns [ 5.0, 3.0 ]
+ */
+ ( z1: Complex64, z2: Complex64 ): Complex64;
+
+ /**
+ * Divides two single-precision complex floating-point numbers and assigns results to a provided output array.
+ *
+ * @param re1 - real component of the first complex number
+ * @param im1 - imaginary component of the first complex number
+ * @param re2 - real component of the second complex number
+ * @param im2 - imaginary component of the second complex number
+ * @param out - output array
+ * @param strideOut - stride length
+ * @param offsetOut - starting index
+ * @returns output array
+ *
+ * @example
+ * var Float32Array = require( '@stdlib/array/float32' );
+ *
+ * var out = new Float32Array( 2 );
+ * var v = div.assign( -13.0, -1.0, -2.0, 1.0, out, 1, 0 );
+ * // returns [ 5.0, 3.0 ]
+ *
+ * var bool = ( out === v );
+ * // returns true
+ */
+ assign>( re1: number, im1: number, re2: number, im2: number, out: T, strideOut: number, offsetOut: number ): T;
+
+ /**
+ * Divides two single-precision complex floating-point numbers stored in real-valued strided array views and assigns results to a provided strided output array.
+ *
+ * @param z1 - first complex number view
+ * @param strideZ1 - stride length for `z1`
+ * @param offsetZ1 - starting index for `z1`
+ * @param z2 - second complex number view
+ * @param strideZ2 - stride length for `z2`
+ * @param offsetZ2 - starting index for `z2`
+ * @param out - output array
+ * @param strideOut - stride length for `out`
+ * @param offsetOut - starting index for `out`
+ * @returns output array
+ *
+ * @example
+ * var Float32Array = require( '@stdlib/array/float32' );
+ *
+ * var z1 = new Float32Array( [ -13.0, -1.0 ] );
+ * var z2 = new Float32Array( [ -2.0, 1.0 ] );
+ *
+ * var out = div.strided( z1, 1, 0, z2, 1, 0, new Float32Array( 2 ), 1, 0 );
+ * // returns [ 5.0, 3.0 ]
+ */
+ strided, U extends NumericArray | Collection, V extends NumericArray | Collection>( z1: T, strideZ1: number, offsetZ1: number, z2: U, strideZ2: number, offsetZ2: number, out: V, strideOut: number, offsetOut: number ): V;
+}
+
+/**
+* Divides two single-precision complex floating-point numbers.
+*
+* @param z1 - complex number
+* @param z2 - complex number
+* @returns result
+*
+* @example
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+*
+* var z1 = new Complex64( -13.0, -1.0 );
+* var z2 = new Complex64( -2.0, 1.0 );
+*
+* var out = div( z1, z2 );
+* // returns [ 5.0, 3.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var out = new Float32Array( 2 );
+* var v = div.assign( -13.0, -1.0, -2.0, 1.0, out, 1, 0 );
+* // returns [ 5.0, 3.0 ]
+*
+* var bool = ( out === v );
+* // returns true
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var z1 = new Float32Array( [ -13.0, -1.0 ] );
+* var z2 = new Float32Array( [ -2.0, 1.0 ] );
+*
+* var out = div.strided( z1, 1, 0, z2, 1, 0, new Float32Array( 2 ), 1, 0 );
+* // returns [ 5.0, 3.0 ]
+*/
+declare var div: Div;
+
+
+// EXPORTS //
+
+export = div;
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/docs/types/test.ts b/lib/node_modules/@stdlib/complex/float32/base/div/docs/types/test.ts
new file mode 100644
index 000000000000..b94ef68a821a
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/docs/types/test.ts
@@ -0,0 +1,357 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 Complex64 = require( '@stdlib/complex/float32/ctor' );
+import div = require( './index' );
+
+
+// TESTS //
+
+// The function returns a complex number...
+{
+ const z = new Complex64( 1.0, 1.0 );
+
+ div( z, z ); // $ExpectType Complex64
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a complex number...
+{
+ const z = new Complex64( 1.0, 1.0 );
+
+ div( true, z ); // $ExpectError
+ div( false, z ); // $ExpectError
+ div( null, z ); // $ExpectError
+ div( undefined, z ); // $ExpectError
+ div( '5', z ); // $ExpectError
+ div( [], z ); // $ExpectError
+ div( {}, z ); // $ExpectError
+ div( ( x: number ): number => x, z ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a complex number...
+{
+ const z = new Complex64( 1.0, 1.0 );
+
+ div( z, true ); // $ExpectError
+ div( z, false ); // $ExpectError
+ div( z, null ); // $ExpectError
+ div( z, undefined ); // $ExpectError
+ div( z, '5' ); // $ExpectError
+ div( z, [] ); // $ExpectError
+ div( z, {} ); // $ExpectError
+ div( z, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const z = new Complex64( 1.0, 1.0 );
+
+ div(); // $ExpectError
+ div( z ); // $ExpectError
+ div( z, z, z ); // $ExpectError
+}
+
+// Attached to the main export is an `assign` method which returns a collection...
+{
+ div.assign( 1.0, 1.0, 1.0, 1.0, new Float32Array( 2 ), 1, 0 ); // $ExpectType Float32Array
+ div.assign( 1.0, 1.0, 1.0, 1.0, new Float64Array( 2 ), 1, 0 ); // $ExpectType Float64Array
+ div.assign( 1.0, 1.0, 1.0, 1.0, [ 0.0, 0.0 ], 1, 0 ); // $ExpectType number[]
+}
+
+// The compiler throws an error if the `assign` method is provided a first argument which is not a number...
+{
+ const out = new Float32Array( 2 );
+
+ div.assign( true, 2.0, 3.0, 4.0, out, 1, 0 ); // $ExpectError
+ div.assign( false, 2.0, 3.0, 4.0, out, 1, 0 ); // $ExpectError
+ div.assign( null, 2.0, 3.0, 4.0, out, 1, 0 ); // $ExpectError
+ div.assign( undefined, 2.0, 3.0, 4.0, out, 1, 0 ); // $ExpectError
+ div.assign( '5', 2.0, 3.0, 4.0, out, 1, 0 ); // $ExpectError
+ div.assign( [], 2.0, 3.0, 4.0, out, 1, 0 ); // $ExpectError
+ div.assign( {}, 2.0, 3.0, 4.0, out, 1, 0 ); // $ExpectError
+ div.assign( ( x: number ): number => x, 2.0, 3.0, 4.0, out, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `assign` method is provided a second argument which is not a number...
+{
+ const out = new Float32Array( 2 );
+
+ div.assign( 1.0, true, 3.0, 4.0, out, 1, 0 ); // $ExpectError
+ div.assign( 1.0, false, 3.0, 4.0, out, 1, 0 ); // $ExpectError
+ div.assign( 1.0, null, 3.0, 4.0, out, 1, 0 ); // $ExpectError
+ div.assign( 1.0, undefined, 3.0, 4.0, out, 1, 0 ); // $ExpectError
+ div.assign( 1.0, '5', 3.0, 4.0, out, 1, 0 ); // $ExpectError
+ div.assign( 1.0, [], 3.0, 4.0, out, 1, 0 ); // $ExpectError
+ div.assign( 1.0, {}, 3.0, 4.0, out, 1, 0 ); // $ExpectError
+ div.assign( 1.0, ( x: number ): number => x, 3.0, 4.0, out, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `assign` method is provided a third argument which is not a number...
+{
+ const out = new Float32Array( 2 );
+
+ div.assign( 1.0, 2.0, true, 4.0, out, 1, 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, false, 4.0, out, 1, 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, null, 4.0, out, 1, 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, undefined, 4.0, out, 1, 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, '5', 4.0, out, 1, 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, [], 4.0, out, 1, 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, {}, 4.0, out, 1, 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, ( x: number ): number => x, 4.0, out, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `assign` method is provided a fourth argument which is not a number...
+{
+ const out = new Float32Array( 2 );
+
+ div.assign( 1.0, 2.0, 3.0, true, out, 1, 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, false, out, 1, 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, null, out, 1, 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, undefined, out, 1, 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, '5', out, 1, 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, [], out, 1, 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, {}, out, 1, 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, ( x: number ): number => x, out, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `assign` method is provided a fifth argument which is not a collection...
+{
+ div.assign( 1.0, 2.0, 3.0, 4.0, 1, 1, 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, 4.0, true, 1, 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, 4.0, false, 1, 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, 4.0, null, 1, 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, 4.0, undefined, 1, 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, 4.0, '5', 1, 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, 4.0, [ '5' ], 1, 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, 4.0, {}, 1, 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, 4.0, ( x: number ): number => x, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `assign` method is provided a sixth argument which is not a number...
+{
+ const out = new Float32Array( 2 );
+
+ div.assign( 1.0, 2.0, 3.0, 4.0, out, true, 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, 4.0, out, false, 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, 4.0, out, null, 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, 4.0, out, undefined, 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, 4.0, out, '5', 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, 4.0, out, [], 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, 4.0, out, {}, 0 ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, 4.0, out, ( x: number ): number => x, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `assign` method is provided a seventh argument which is not a number...
+{
+ const out = new Float32Array( 2 );
+
+ div.assign( 1.0, 2.0, 3.0, 4.0, out, 1, true ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, 4.0, out, 1, false ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, 4.0, out, 1, null ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, 4.0, out, 1, undefined ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, 4.0, out, 1, '5' ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, 4.0, out, 1, [] ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, 4.0, out, 1, {} ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, 4.0, out, 1, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the `assign` method is provided an unsupported number of arguments...
+{
+ const out = new Float32Array( 2 );
+
+ div.assign(); // $ExpectError
+ div.assign( 1.0 ); // $ExpectError
+ div.assign( 1.0, 2.0 ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0 ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, 4.0 ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, 4.0, out ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, 4.0, out, 1 ); // $ExpectError
+ div.assign( 1.0, 2.0, 3.0, 4.0, out, 1, 0, {} ); // $ExpectError
+}
+
+// Attached to the main export is a `strided` method which returns a collection...
+{
+ const z1 = new Float32Array( 2 );
+ const z2 = new Float32Array( z1.length );
+
+ div.strided( z1, 1, 0, z2, 1, 0, new Float32Array( 2 ), 1, 0 ); // $ExpectType Float32Array
+ div.strided( z1, 1, 0, z2, 1, 0, new Float64Array( 2 ), 1, 0 ); // $ExpectType Float64Array
+ div.strided( z1, 1, 0, z2, 1, 0, [ 0.0, 0.0 ], 1, 0 ); // $ExpectType number[]
+}
+
+// The compiler throws an error if the `strided` method is provided a first argument which is not a collection...
+{
+ const z1 = new Float32Array( 2 );
+ const z2 = new Float32Array( z1.length );
+ const out = new Float32Array( z2.length );
+
+ div.strided( true, 1, 0, z2, 1, 0, out, 1, 0 ); // $ExpectError
+ div.strided( false, 1, 0, z2, 1, 0, out, 1, 0 ); // $ExpectError
+ div.strided( null, 1, 0, z2, 1, 0, out, 1, 0 ); // $ExpectError
+ div.strided( undefined, 1, 0, z2, 1, 0, out, 1, 0 ); // $ExpectError
+ div.strided( '5', 1, 0, z2, 1, 0, out, 1, 0 ); // $ExpectError
+ div.strided( [ '5' ], 1, 0, z2, 1, 0, out, 1, 0 ); // $ExpectError
+ div.strided( {}, 1, 0, z2, 1, 0, out, 1, 0 ); // $ExpectError
+ div.strided( ( x: number ): number => x, 1, 0, z2, 1, 0, out, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `strided` method is provided a second argument which is not a number...
+{
+ const z1 = new Float32Array( 2 );
+ const z2 = new Float32Array( z1.length );
+ const out = new Float32Array( z2.length );
+
+ div.strided( z1, true, 0, z2, 1, 0, out, 1, 0 ); // $ExpectError
+ div.strided( z1, false, 0, z2, 1, 0, out, 1, 0 ); // $ExpectError
+ div.strided( z1, null, 0, z2, 1, 0, out, 1, 0 ); // $ExpectError
+ div.strided( z1, undefined, 0, z2, 1, 0, out, 1, 0 ); // $ExpectError
+ div.strided( z1, '5', 0, z2, 1, 0, out, 1, 0 ); // $ExpectError
+ div.strided( z1, [], 0, z2, 1, 0, out, 1, 0 ); // $ExpectError
+ div.strided( z1, {}, 0, z2, 1, 0, out, 1, 0 ); // $ExpectError
+ div.strided( z1, ( x: number ): number => x, 0, z2, 1, 0, out, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `strided` method is provided a third argument which is not a number...
+{
+ const z1 = new Float32Array( 2 );
+ const z2 = new Float32Array( z1.length );
+ const out = new Float32Array( 2 );
+
+ div.strided( z1, 1, true, z2, 1, 0, out, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, false, z2, 1, 0, out, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, null, z2, 1, 0, out, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, undefined, z2, 1, 0, out, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, '5', z2, 1, 0, out, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, [], z2, 1, 0, out, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, {}, z2, 1, 0, out, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, ( x: number ): number => x, z2, 1, 0, out, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `strided` method is provided a fourth argument which is not a collection...
+{
+ const z1 = new Float32Array( 2 );
+ const z2 = new Float32Array( z1.length );
+ const out = new Float32Array( z2.length );
+
+ div.strided( z1, 1, 0, true, 1, 0, out, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, false, 1, 0, out, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, null, 1, 0, out, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, undefined, 1, 0, out, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, '5', 1, 0, out, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, [ '5' ], 1, 0, out, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, {}, 1, 0, out, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, ( x: number ): number => x, 1, 0, out, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `strided` method is provided a fifth argument which is not a number...
+{
+ const z1 = new Float32Array( 2 );
+ const z2 = new Float32Array( z1.length );
+ const out = new Float32Array( z2.length );
+
+ div.strided( z1, 1, 0, z2, true, 0, out, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, false, 0, out, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, null, 0, out, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, undefined, 0, out, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, '5', 0, out, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, [], 0, out, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, {}, 0, out, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, ( x: number ): number => x, 0, out, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `strided` method is provided a sixth argument which is not a number...
+{
+ const z1 = new Float32Array( 2 );
+ const z2 = new Float32Array( z1.length );
+ const out = new Float32Array( z2.length );
+
+ div.strided( z1, 1, 0, z2, 1, true, out, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, false, out, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, null, out, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, undefined, out, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, '5', out, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, [], out, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, {}, out, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, ( x: number ): number => x, out, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `strided` method is provided a seventh argument which is not a collection...
+{
+ const z1 = new Float32Array( 2 );
+ const z2 = new Float32Array( z1.length );
+
+ div.strided( z1, 1, 0, z2, 1, 0, 1, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, 0, true, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, 0, false, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, 0, null, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, 0, undefined, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, 0, '5', 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, 0, [ '5' ], 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, 0, {}, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, 0, ( x: number ): number => x, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `strided` method is provided an eighth argument which is not a number...
+{
+ const z1 = new Float32Array( 2 );
+ const z2 = new Float32Array( z1.length );
+ const out = new Float32Array( z2.length );
+
+ div.strided( z1, 1, 0, z2, 1, 0, out, true, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, 0, out, false, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, 0, out, null, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, 0, out, undefined, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, 0, out, '5', 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, 0, out, [], 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, 0, out, {}, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, 0, out, ( x: number ): number => x, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `strided` method is provided a ninth argument which is not a number...
+{
+ const z1 = new Float32Array( 2 );
+ const z2 = new Float32Array( z1.length );
+ const out = new Float32Array( z2.length );
+
+ div.strided( z1, 1, 0, z2, 1, 0, out, 1, true ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, 0, out, 1, false ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, 0, out, 1, null ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, 0, out, 1, undefined ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, 0, out, 1, '5' ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, 0, out, 1, [] ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, 0, out, 1, {} ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, 0, out, 1, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the `strided` method is provided an unsupported number of arguments...
+{
+ const z1 = new Float32Array( 2 );
+ const z2 = new Float32Array( z1.length );
+ const out = new Float32Array( z2.length );
+
+ div.strided(); // $ExpectError
+ div.strided( z1 ); // $ExpectError
+ div.strided( z1, 1 ); // $ExpectError
+ div.strided( z1, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, 0 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, 0, out ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, 0, out, 1 ); // $ExpectError
+ div.strided( z1, 1, 0, z2, 1, 0, out, 1, 0, {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/examples/c/Makefile b/lib/node_modules/@stdlib/complex/float32/base/div/examples/c/Makefile
new file mode 100644
index 000000000000..c8f8e9a1517b
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/examples/c/Makefile
@@ -0,0 +1,146 @@
+#/
+# @license Apache-2.0
+#
+# Copyright (c) 2026 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.
+#/
+
+# VARIABLES #
+
+ifndef VERBOSE
+ QUIET := @
+else
+ QUIET :=
+endif
+
+# Determine the OS ([1][1], [2][2]).
+#
+# [1]: https://en.wikipedia.org/wiki/Uname#Examples
+# [2]: http://stackoverflow.com/a/27776822/2225624
+OS ?= $(shell uname)
+ifneq (, $(findstring MINGW,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring MSYS,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring CYGWIN,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring Windows_NT,$(OS)))
+ OS := WINNT
+endif
+endif
+endif
+endif
+
+# Define the program used for compiling C source files:
+ifdef C_COMPILER
+ CC := $(C_COMPILER)
+else
+ CC := gcc
+endif
+
+# Define the command-line options when compiling C files:
+CFLAGS ?= \
+ -std=c99 \
+ -O3 \
+ -Wall \
+ -pedantic
+
+# Determine whether to generate position independent code ([1][1], [2][2]).
+#
+# [1]: https://gcc.gnu.org/onlinedocs/gcc/Code-Gen-Options.html#Code-Gen-Options
+# [2]: http://stackoverflow.com/questions/5311515/gcc-fpic-option
+ifeq ($(OS), WINNT)
+ fPIC ?=
+else
+ fPIC ?= -fPIC
+endif
+
+# List of includes (e.g., `-I /foo/bar -I /beep/boop/include`):
+INCLUDE ?=
+
+# List of source files:
+SOURCE_FILES ?=
+
+# List of libraries (e.g., `-lopenblas -lpthread`):
+LIBRARIES ?=
+
+# List of library paths (e.g., `-L /foo/bar -L /beep/boop`):
+LIBPATH ?=
+
+# List of C targets:
+c_targets := example.out
+
+
+# RULES #
+
+#/
+# Compiles source files.
+#
+# @param {string} [C_COMPILER] - C compiler (e.g., `gcc`)
+# @param {string} [CFLAGS] - C compiler options
+# @param {(string|void)} [fPIC] - compiler flag determining whether to generate position independent code (e.g., `-fPIC`)
+# @param {string} [INCLUDE] - list of includes (e.g., `-I /foo/bar -I /beep/boop/include`)
+# @param {string} [SOURCE_FILES] - list of source files
+# @param {string} [LIBPATH] - list of library paths (e.g., `-L /foo/bar -L /beep/boop`)
+# @param {string} [LIBRARIES] - list of libraries (e.g., `-lopenblas -lpthread`)
+#
+# @example
+# make
+#
+# @example
+# make all
+#/
+all: $(c_targets)
+
+.PHONY: all
+
+#/
+# Compiles C source files.
+#
+# @private
+# @param {string} CC - C compiler (e.g., `gcc`)
+# @param {string} CFLAGS - C compiler options
+# @param {(string|void)} fPIC - compiler flag determining whether to generate position independent code (e.g., `-fPIC`)
+# @param {string} INCLUDE - list of includes (e.g., `-I /foo/bar`)
+# @param {string} SOURCE_FILES - list of source files
+# @param {string} LIBPATH - list of library paths (e.g., `-L /foo/bar`)
+# @param {string} LIBRARIES - list of libraries (e.g., `-lopenblas`)
+#/
+$(c_targets): %.out: %.c
+ $(QUIET) $(CC) $(CFLAGS) $(fPIC) $(INCLUDE) -o $@ $(SOURCE_FILES) $< $(LIBPATH) -lm $(LIBRARIES)
+
+#/
+# Runs compiled examples.
+#
+# @example
+# make run
+#/
+run: $(c_targets)
+ $(QUIET) ./$<
+
+.PHONY: run
+
+#/
+# Removes generated files.
+#
+# @example
+# make clean
+#/
+clean:
+ $(QUIET) -rm -f *.o *.out
+
+.PHONY: clean
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/examples/c/example.c b/lib/node_modules/@stdlib/complex/float32/base/div/examples/c/example.c
new file mode 100644
index 000000000000..1f82065430df
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/examples/c/example.c
@@ -0,0 +1,53 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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.
+*/
+
+#include "stdlib/complex/float32/base/div.h"
+#include "stdlib/complex/float32/ctor.h"
+#include "stdlib/complex/float32/reim.h"
+#include
+
+int main( void ) {
+ const stdlib_complex64_t x[] = {
+ stdlib_complex64( -13.0f, -1.0f ),
+ stdlib_complex64( 3.14f, 1.5f ),
+ stdlib_complex64( 0.0f, -0.0f ),
+ stdlib_complex64( 0.0f/0.0f, 0.0f/0.0f )
+ };
+ const stdlib_complex64_t y[] = {
+ stdlib_complex64( -2.0f, 1.0f ),
+ stdlib_complex64( -3.14f, 1.5f ),
+ stdlib_complex64( 1.0f, 2.0f ),
+ stdlib_complex64( 0.0f/0.0f, 0.0f/0.0f )
+ };
+
+ stdlib_complex64_t v;
+ float re;
+ float im;
+ int i;
+ for ( i = 0; i < 4; i++ ) {
+ stdlib_complex64_reim( x[ i ], &re, &im );
+ printf( "z1 = %f + %fi\n", re, im );
+
+ stdlib_complex64_reim( y[ i ], &re, &im );
+ printf( "z2 = %f + %fi\n", re, im );
+
+ v = stdlib_base_complex64_div( x[ i ], y[ i ] );
+ stdlib_complex64_reim( v, &re, &im );
+ printf( "div(z1, z2) = %f + %fi\n", re, im );
+ }
+}
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/examples/index.js b/lib/node_modules/@stdlib/complex/float32/base/div/examples/index.js
new file mode 100644
index 000000000000..93da327b486c
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/examples/index.js
@@ -0,0 +1,31 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 Complex64Array = require( '@stdlib/array/complex64' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var logEachMap = require( '@stdlib/console/log-each-map' );
+var div = require( './../lib' );
+
+// Generate arrays of random values:
+var z1 = new Complex64Array( discreteUniform( 200, -50, 50 ) );
+var z2 = new Complex64Array( discreteUniform( 200, -50, 50 ) );
+
+// Perform element-wise division:
+logEachMap( '(%s) / (%s) = %s', z1, z2, div );
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/include.gypi b/lib/node_modules/@stdlib/complex/float32/base/div/include.gypi
new file mode 100644
index 000000000000..bee8d41a2caf
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/include.gypi
@@ -0,0 +1,53 @@
+# @license Apache-2.0
+#
+# Copyright (c) 2026 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.
+
+# A GYP include file for building a Node.js native add-on.
+#
+# Main documentation:
+#
+# [1]: https://gyp.gsrc.io/docs/InputFormatReference.md
+# [2]: https://gyp.gsrc.io/docs/UserDocumentation.md
+{
+ # Define variables to be used throughout the configuration for all targets:
+ 'variables': {
+ # Source directory:
+ 'src_dir': './src',
+
+ # Include directories:
+ 'include_dirs': [
+ '[ 5.0, 3.0 ]
+*/
+function assign( re1, im1, re2, im2, out, strideOut, offsetOut ) {
+ var mag;
+ var re;
+ var im;
+
+ if ( isInfinite( re2 ) || isInfinite( im2 ) ) {
+ if ( !isfinite( re1 ) || !isfinite( im1 ) ) {
+ out[ offsetOut ] = NaN;
+ out[ offsetOut+strideOut ] = NaN;
+ return out;
+ }
+ // When dividing a finite complex number by an infinite complex number, the quotient underflows to signed zeros:
+ out[ offsetOut ] = 0.0 * signumf( re1 ) * signumf( re2 );
+ out[ offsetOut+strideOut ] = -0.0 * signumf( im1 ) * signumf( im2 );
+ return out;
+ }
+ // Compute intermediate results in double-precision arithmetic (note: `NaN` input components naturally propagate to both output components):
+ mag = 1.0 / ( ( re2 * re2 ) + ( im2 * im2 ) );
+ re = ( ( re1 * re2 ) + ( im1 * im2 ) ) * mag;
+ im = ( ( im1 * re2 ) - ( re1 * im2 ) ) * mag;
+
+ // Round the final results to single-precision:
+ out[ offsetOut ] = f32( re );
+ out[ offsetOut+strideOut ] = f32( im );
+ return out;
+}
+
+
+// EXPORTS //
+
+module.exports = assign;
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/lib/index.js b/lib/node_modules/@stdlib/complex/float32/base/div/lib/index.js
new file mode 100644
index 000000000000..76eb32525527
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/lib/index.js
@@ -0,0 +1,55 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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';
+
+/**
+* Divide two single-precision complex floating-point numbers.
+*
+* @module @stdlib/complex/float32/base/div
+*
+* @example
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var div = require( '@stdlib/complex/float32/base/div' );
+*
+* var z1 = new Complex64( -13.0, -1.0 );
+* var z2 = new Complex64( -2.0, 1.0 );
+*
+* var out = div( z1, z2 );
+* // returns [ 5.0, 3.0 ]
+*/
+
+// MODULES //
+
+var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
+var main = require( './main.js' );
+var assign = require( './assign.js' );
+var strided = require( './strided.js' );
+
+
+// MAIN //
+
+setReadOnly( main, 'assign', assign );
+setReadOnly( main, 'strided', strided );
+
+
+// EXPORTS //
+
+module.exports = main;
+
+// exports: { "assign": "main.assign", "strided": "main.strided" }
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/lib/main.js b/lib/node_modules/@stdlib/complex/float32/base/div/lib/main.js
new file mode 100644
index 000000000000..6bfb93e03f59
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/lib/main.js
@@ -0,0 +1,72 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 realf = require( '@stdlib/complex/float32/real' );
+var imagf = require( '@stdlib/complex/float32/imag' );
+var Float32Array = require( '@stdlib/array/float32' );
+var Complex64 = require( '@stdlib/complex/float32/ctor' );
+var assign = require( './assign.js' );
+
+
+// VARIABLES //
+
+var out = new Float32Array( 2 );
+
+
+// MAIN //
+
+/**
+* Divides two single-precision complex floating-point numbers.
+*
+* @param {Complex64} z1 - complex number
+* @param {Complex64} z2 - complex number
+* @returns {Complex64} result
+*
+* @example
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+*
+* var z1 = new Complex64( -13.0, -1.0 );
+* var z2 = new Complex64( -2.0, 1.0 );
+*
+* var out = div( z1, z2 );
+* // returns [ 5.0, 3.0 ]
+*/
+function div( z1, z2 ) {
+ var re1;
+ var re2;
+ var im1;
+ var im2;
+
+ re1 = realf( z1 );
+ re2 = realf( z2 );
+ im1 = imagf( z1 );
+ im2 = imagf( z2 );
+
+ out = assign( re1, im1, re2, im2, out, 1, 0 );
+
+ return new Complex64( out[ 0 ], out[ 1 ] );
+}
+
+
+// EXPORTS //
+
+module.exports = div;
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/lib/native.js b/lib/node_modules/@stdlib/complex/float32/base/div/lib/native.js
new file mode 100644
index 000000000000..21b2e746af51
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/lib/native.js
@@ -0,0 +1,54 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 Complex64 = require( '@stdlib/complex/float32/ctor' );
+var addon = require( './../src/addon.node' );
+
+
+// MAIN //
+
+/**
+* Divides two single-precision complex floating-point numbers.
+*
+* @private
+* @param {Complex64} z1 - complex number
+* @param {Complex64} z2 - complex number
+* @returns {Complex64} result
+*
+* @example
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+*
+* var z1 = new Complex64( -13.0, -1.0 );
+* var z2 = new Complex64( -2.0, 1.0 );
+*
+* var out = div( z1, z2 );
+* // returns [ 5.0, 3.0 ]
+*/
+function div( z1, z2 ) {
+ var v = addon( z1, z2 );
+ return new Complex64( v.re, v.im );
+}
+
+
+// EXPORTS //
+
+module.exports = div;
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/lib/strided.js b/lib/node_modules/@stdlib/complex/float32/base/div/lib/strided.js
new file mode 100644
index 000000000000..08708a46073c
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/lib/strided.js
@@ -0,0 +1,58 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 assign = require( './assign.js' );
+
+
+// MAIN //
+
+/**
+* Divides two single-precision complex floating-point numbers stored in real-valued strided array views and assigns results to a provided strided output array.
+*
+* @param {Float32Array} z1 - first complex number view
+* @param {integer} strideZ1 - stride length for `z1`
+* @param {NonNegativeInteger} offsetZ1 - starting index for `z1`
+* @param {Float32Array} z2 - second complex number view
+* @param {integer} strideZ2 - stride length for `z2`
+* @param {NonNegativeInteger} offsetZ2 - starting index for `z2`
+* @param {Collection} out - output array
+* @param {integer} strideOut - stride length for `out`
+* @param {NonNegativeInteger} offsetOut - starting index for `out`
+* @returns {Collection} output array
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var z1 = new Float32Array( [ -13.0, -1.0 ] );
+* var z2 = new Float32Array( [ -2.0, 1.0 ] );
+*
+* var out = strided( z1, 1, 0, z2, 1, 0, new Float32Array( 2 ), 1, 0 );
+* // returns [ 5.0, 3.0 ]
+*/
+function strided( z1, strideZ1, offsetZ1, z2, strideZ2, offsetZ2, out, strideOut, offsetOut ) { // eslint-disable-line max-len
+ return assign( z1[ offsetZ1 ], z1[ offsetZ1+strideZ1 ], z2[ offsetZ2 ], z2[ offsetZ2+strideZ2 ], out, strideOut, offsetOut ); // eslint-disable-line max-len
+}
+
+
+// EXPORTS //
+
+module.exports = strided;
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/manifest.json b/lib/node_modules/@stdlib/complex/float32/base/div/manifest.json
new file mode 100644
index 000000000000..a8b4800c76f3
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/manifest.json
@@ -0,0 +1,84 @@
+{
+ "options": {
+ "task": "build"
+ },
+ "fields": [
+ {
+ "field": "src",
+ "resolve": true,
+ "relative": true
+ },
+ {
+ "field": "include",
+ "resolve": true,
+ "relative": true
+ },
+ {
+ "field": "libraries",
+ "resolve": false,
+ "relative": false
+ },
+ {
+ "field": "libpath",
+ "resolve": true,
+ "relative": false
+ }
+ ],
+ "confs": [
+ {
+ "task": "build",
+ "src": [
+ "./src/main.c"
+ ],
+ "include": [
+ "./include"
+ ],
+ "libraries": [],
+ "libpath": [],
+ "dependencies": [
+ "@stdlib/math/base/napi/binary",
+ "@stdlib/complex/float32/ctor",
+ "@stdlib/complex/float32/reim",
+ "@stdlib/math/base/assert/is-infinite",
+ "@stdlib/math/base/assert/is-finite",
+ "@stdlib/math/base/special/signumf"
+ ]
+ },
+ {
+ "task": "benchmark",
+ "src": [
+ "./src/main.c"
+ ],
+ "include": [
+ "./include"
+ ],
+ "libraries": [],
+ "libpath": [],
+ "dependencies": [
+ "@stdlib/complex/float32/ctor",
+ "@stdlib/complex/float32/reim",
+ "@stdlib/math/base/assert/is-infinite",
+ "@stdlib/math/base/assert/is-finite",
+ "@stdlib/math/base/special/signumf"
+ ]
+ },
+ {
+ "task": "examples",
+ "src": [
+ "./src/main.c"
+ ],
+ "include": [
+ "./include"
+ ],
+ "libraries": [],
+ "libpath": [],
+ "dependencies": [
+ "@stdlib/complex/float32/ctor",
+ "@stdlib/complex/float32/reim",
+ "@stdlib/math/base/assert/is-infinite",
+ "@stdlib/math/base/assert/is-finite",
+ "@stdlib/math/base/special/signumf"
+ ]
+ }
+ ]
+}
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/package.json b/lib/node_modules/@stdlib/complex/float32/base/div/package.json
new file mode 100644
index 000000000000..c41ddd615fd9
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/package.json
@@ -0,0 +1,69 @@
+{
+ "name": "@stdlib/complex/float32/base/div",
+ "version": "0.0.0",
+ "description": "Divide two single-precision complex floating-point numbers.",
+ "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",
+ "gypfile": true,
+ "directories": {
+ "benchmark": "./benchmark",
+ "doc": "./docs",
+ "example": "./examples",
+ "include": "./include",
+ "lib": "./lib",
+ "src": "./src",
+ "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",
+ "cdiv",
+ "cdivf",
+ "div",
+ "divide",
+ "division",
+ "arithmetic",
+ "complex",
+ "cmplx",
+ "number"
+ ]
+}
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/src/Makefile b/lib/node_modules/@stdlib/complex/float32/base/div/src/Makefile
new file mode 100644
index 000000000000..2caf905cedbe
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/src/Makefile
@@ -0,0 +1,70 @@
+#/
+# @license Apache-2.0
+#
+# Copyright (c) 2026 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.
+#/
+
+# VARIABLES #
+
+ifndef VERBOSE
+ QUIET := @
+else
+ QUIET :=
+endif
+
+# Determine the OS ([1][1], [2][2]).
+#
+# [1]: https://en.wikipedia.org/wiki/Uname#Examples
+# [2]: http://stackoverflow.com/a/27776822/2225624
+OS ?= $(shell uname)
+ifneq (, $(findstring MINGW,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring MSYS,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring CYGWIN,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring Windows_NT,$(OS)))
+ OS := WINNT
+endif
+endif
+endif
+endif
+
+
+# RULES #
+
+#/
+# Removes generated files for building an add-on.
+#
+# @example
+# make clean-addon
+#/
+clean-addon:
+ $(QUIET) -rm -f *.o *.node
+
+.PHONY: clean-addon
+
+#/
+# Removes generated files.
+#
+# @example
+# make clean
+#/
+clean: clean-addon
+
+.PHONY: clean
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/src/addon.c b/lib/node_modules/@stdlib/complex/float32/base/div/src/addon.c
new file mode 100644
index 000000000000..71a4591f2c87
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/src/addon.c
@@ -0,0 +1,22 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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.
+*/
+
+#include "stdlib/complex/float32/base/div.h"
+#include "stdlib/math/base/napi/binary.h"
+
+STDLIB_MATH_BASE_NAPI_MODULE_CC_C( stdlib_base_complex64_div )
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/src/main.c b/lib/node_modules/@stdlib/complex/float32/base/div/src/main.c
new file mode 100644
index 000000000000..333d45fb81a9
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/src/main.c
@@ -0,0 +1,93 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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.
+*/
+
+#include "stdlib/complex/float32/base/div.h"
+#include "stdlib/complex/float32/ctor.h"
+#include "stdlib/complex/float32/reim.h"
+#include "stdlib/math/base/assert/is_infinite.h"
+#include "stdlib/math/base/assert/is_finite.h"
+#include "stdlib/math/base/special/signumf.h"
+
+/**
+* Divides two single-precision complex floating-point numbers.
+*
+* ## Notes
+*
+* - The implementation computes intermediate results in double-precision arithmetic and rounds only final results to single-precision, following the approach used for single-precision complex division in [Julia][@julia:complex]. As input components are single-precision floating-point numbers, all intermediate products are exact in double-precision, and the squared magnitude of the denominator can neither overflow nor underflow in double-precision, thus avoiding the need for the scaling used in robust native-precision algorithms.
+* - When dividing a finite complex number by an infinite complex number, the function returns signed zeros, with the signs derived from the signs of the respective input components.
+*
+* [@julia:complex]: https://github.com/JuliaLang/julia/blob/5bd20a13d21524e74fe61f5d699bd5640aff1216/base/complex.jl#L369-L382
+*
+* @param z1 input value
+* @param z2 input value
+* @return result
+*
+* @example
+* #include "stdlib/complex/float32/ctor.h"
+* #include "stdlib/complex/float32/real.h"
+* #include "stdlib/complex/float32/imag.h"
+*
+* stdlib_complex64_t z1 = stdlib_complex64( -13.0f, -1.0f );
+* stdlib_complex64_t z2 = stdlib_complex64( -2.0f, 1.0f );
+*
+* stdlib_complex64_t out = stdlib_base_complex64_div( z1, z2 );
+*
+* float re = stdlib_complex64_real( out );
+* // returns 5.0f
+*
+* float im = stdlib_complex64_imag( out );
+* // returns 3.0f
+*/
+stdlib_complex64_t stdlib_base_complex64_div( const stdlib_complex64_t z1, const stdlib_complex64_t z2 ) {
+ float re1f;
+ float re2f;
+ float im1f;
+ float im2f;
+ double mag;
+ double re;
+ double im;
+ double a;
+ double b;
+ double c;
+ double d;
+
+ stdlib_complex64_reim( z1, &re1f, &im1f );
+ stdlib_complex64_reim( z2, &re2f, &im2f );
+
+ a = (double)re1f;
+ b = (double)im1f;
+ c = (double)re2f;
+ d = (double)im2f;
+
+ if ( stdlib_base_is_infinite( c ) || stdlib_base_is_infinite( d ) ) {
+ if ( !stdlib_base_is_finite( a ) || !stdlib_base_is_finite( b ) ) {
+ return stdlib_complex64( 0.0f/0.0f, 0.0f/0.0f );
+ }
+ // When dividing a finite complex number by an infinite complex number, the quotient underflows to signed zeros:
+ re = 0.0 * stdlib_base_signumf( re1f ) * stdlib_base_signumf( re2f );
+ im = -0.0 * stdlib_base_signumf( im1f ) * stdlib_base_signumf( im2f );
+ return stdlib_complex64( (float)re, (float)im );
+ }
+ // Compute intermediate results in double-precision arithmetic (note: `NaN` input components naturally propagate to both output components):
+ mag = 1.0 / ( ( c * c ) + ( d * d ) );
+ re = ( ( a * c ) + ( b * d ) ) * mag;
+ im = ( ( b * c ) - ( a * d ) ) * mag;
+
+ // Round the final results to single-precision:
+ return stdlib_complex64( (float)re, (float)im );
+}
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/REQUIRE b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/REQUIRE
new file mode 100644
index 000000000000..308c3be89c85
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/REQUIRE
@@ -0,0 +1,2 @@
+julia 1.5
+JSON 0.21
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/component_scales1.json b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/component_scales1.json
new file mode 100644
index 000000000000..b5a29114d50f
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/component_scales1.json
@@ -0,0 +1 @@
+{"re1":[7.607951713861284e18,3.198527887551087e18,8.179514569765245e17,5.422820321537512e18,4.786205572783978e18,8.989406399744408e18,4.1374106946413645e18,7.888094133611871e18,5.226665740127566e18,8.798151577288419e18,1.0318953581235024e17,7.275652379859038e18,1.877668807359234e17,3.067801702930517e17,1.766410733721282e18,1.426838734561895e18,8.208921011317569e18,6.589773353835388e18,8.419231253057916e18,3.318907858842403e18,3.172735201050697e18,3.7106493328196357e18,9.966198096611949e18,4.4449806080267453e18,5.847999684566703e18,9.690533940922997e18,8.728170182425798e18,8.114550342310927e18,4.575724073941826e18,1.09012184390731e17,8.112722234373599e18,3.56562821689962e18,1.1442118115854049e18,2.228281606655931e18,2.2732819888239532e18,1.7573401191883686e18,1.0307906619615115e17,1.998608547167734e18,8.182215659914817e18,4.2405597587992484e18,4.7469253969751104e17,9.564323244966715e18,2.986500366763494e18,7.975247696035764e18,1.5704182204338847e18,8.171289027900671e18,8.502875193569913e18,6.21793941764119e18,7.632237926728309e18,8.527060798780306e17,7.837332482128775e18,8.977859569179963e18,3.683020451021064e18,6.247537772464019e18,8.775105524185181e18,3.697737180615109e18,1.8206717746184553e18,6.517188921526606e18,1.8972330847328412e18,1.3158527047424818e17,4.0483119820697334e18,6.256195507803008e18,6.280626161494717e18,6.904959357317374e18,2.6835823367095557e18,1.648050306675952e18,6.187146285233958e18,5.063385590657539e18,5.402661883567617e18,9.78577724576081e18,7.958190741715469e18,5.277349883923717e18,3.156199475062095e18,2.658978320137788e18,1.3080426281669722e17,7.522983338714521e18,9.88352043138068e18,5.357734841444649e18,9.033765162933472e18,6.414716269286369e18,5.888536091221849e18,2.0070763333246067e18,9.813665035237646e18,5.724716498577235e18,9.490216615611873e18,4.034455037386262e18,2.3361662736510956e18,2.656314487078244e18,6.913569997184073e18,2.2418385655338524e18,2.280603616371142e18,5.145293364005826e18,2.965846161818836e18,5.528585385419239e18,4.839511882671973e18,8.974568006461766e18,3.503323729897441e18,1.5473289676743562e18,1.3173866047976036e18,9.985686397412413e18,8.201195926584273e18,5.858129250362705e18,4.99529186834652e18,1.6035139524875697e18,5.532475370634878e18,7.172569026872583e18,4.2794588039496095e18,7.024106702683642e17,5.927459583213006e18,2.240045104438182e18,9.032141824701156e18,9.056414325861803e18,4.3472388402913787e18,1.8920482158504026e18,7.094863747586394e18,6.940278129216224e18,2.1749731311571773e18,6.762937363877195e18,1.9172463794805706e18,7.821946744900454e17,7.125671537939916e18,7.37270503143006e16,7.88603979478586e18,7.399954327641871e18,7.975483123725903e18,2.2041872230515014e17,4.922243536123197e18,8.876569153267733e15,7.93216097257707e18,1.245974209087083e18,6.199196021726903e18,8.23243343978971e17,4.2994078442613683e18,5.104384967925844e18,3.627052742144399e18,6.28766594318837e17,4.804943564441662e18,2.681223273122597e18,8.66211625649614e18,7.567618297647181e18,1.3207478355221624e17,3.429711028907093e18,9.784968726131112e18,3.147396117121376e18,6.571666968154607e18,2.026004184225937e18,9.73126221627724e18,9.039445867099146e18,4.610218694058905e18,6.289202452165444e17,5.963556642187212e18,5.602288413163745e18,7.208860200958256e18,1.9514865309657014e18,7.582934136794783e18,3.31150663760429e18,6.555392253488684e18,8.419746929984775e18,3.444858900414294e17,9.982700361428929e18,6.283473112534945e18,6.026329547572118e17,3.3385463744272604e18,9.666597668647873e18,8.317109766334931e18,1.9275129047152527e18,5.565041240143512e18,2.373383420624243e18,2.848798847242533e18,3.120840295001125e18,7.494265205663137e18,1.1613126526876294e17,1.0418327948242568e18,5.782654239390051e18,8.062162774517665e18,9.81763164865764e18,7.827767366169491e17,5.238093470876724e18,3.7484651454630257e18,3.740509583695848e18,2.9541949660027955e18,6.394827228835555e18,8.967746588709343e18,4.850462411787959e18,3.707743410701936e17,2.1009171260067072e17,1.4582066714825725e18,6.241874950796459e18,3.246782596318665e17,9.40256914266521e18,9.159102232423449e18,6.153173951680266e18,6.736342551118864e18,6.251779292929294e17,2.5599687252707604e18,2.342728049507864e18,8.502997159643319e18,3.3874636483897103e18,5.515343961783994e18,8.311744339183469e16,4.887742773945469e18,3.642408275567457e18,2.445571678512086e18,1.985451303228175e18,2.487362940044964e18,4.4740618764108954e17,1.2853008593086024e17,9.955258580526936e18,6.682938297589189e18,3.4930243873993185e18,7.314578811769047e18,9.770179183543669e18,4.5712823098725176e18,3.202577102734083e18,8.922622999402119e18,1.3045491093754302e17,5.377461669154297e18,6.678665642618704e18,2.5140369013867423e18,3.5280698047541524e18,5.059317075784538e18,6.891634805303994e18,6.71545935331439e18,4.726655612786363e18,6.365984365367661e17,4.3943177308360305e18,1.7232726206882499e18,2.7502192873669617e18,5.52338811150862e18,6.389732412760455e18,6.34742713360048e17,6.105199776363336e18,1.2409299806565376e18,4.693891075512355e18,8.296244479080039e18,6.877371780326868e17,2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diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/component_scales2.json b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/component_scales2.json
new file mode 100644
index 000000000000..9b3b447c9d26
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/component_scales2.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/data.json b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/data.json
new file mode 100644
index 000000000000..f7a6c6a431a0
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/data.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/imaginary_component_scales.json b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/imaginary_component_scales.json
new file mode 100644
index 000000000000..ce24c7e821e1
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/imaginary_component_scales.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/large_negative_imaginary_components.json b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/large_negative_imaginary_components.json
new file mode 100644
index 000000000000..e6098888e3e8
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/large_negative_imaginary_components.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/large_negative_real_components.json b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/large_negative_real_components.json
new file mode 100644
index 000000000000..2a4efd159126
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/large_negative_real_components.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/large_positive_imaginary_components.json b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/large_positive_imaginary_components.json
new file mode 100644
index 000000000000..77bab4293dbf
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/large_positive_imaginary_components.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/large_positive_real_components.json b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/large_positive_real_components.json
new file mode 100644
index 000000000000..a76ece94180e
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/large_positive_real_components.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/real_component_scales.json b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/real_component_scales.json
new file mode 100644
index 000000000000..d9a7ebc47cb1
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/real_component_scales.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/runner.jl b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/runner.jl
new file mode 100644
index 000000000000..aabcc9aee267
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/runner.jl
@@ -0,0 +1,168 @@
+#!/usr/bin/env julia
+#
+# @license Apache-2.0
+#
+# Copyright (c) 2026 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{Float32}( undef, length(re1) );
+ zim = Array{Float32}( undef, length(re1) );
+ for i in eachindex(re1)
+ z = Complex{Float32}( re1[i], im1[i] ) / Complex{Float32}( 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 ) .* 1.0e37;
+re2 = rand( 500 ) .* 1.0e37;
+im1 = ( rand( 500 ) .* 20.0 ) .- 10.0;
+im2 = ( rand( 500 ) .* 20.0 ) .- 10.0;
+gen( re1, im1, re2, im2, "large_positive_real_components.json" );
+
+# Large negative real components:
+re1 = -rand( 500 ) .* 1.0e37;
+re2 = -rand( 500 ) .* 1.0e37;
+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 ) .* 1.0e37;
+im2 = rand( 500 ) .* 1.0e37;
+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 ) .* 1.0e37;
+im2 = -rand( 500 ) .* 1.0e37;
+gen( re1, im1, re2, im2, "large_negative_imaginary_components.json" );
+
+# Tiny positive real components:
+re1 = rand( 500 ) .* 1.0e-40;
+re2 = rand( 500 ) .* 1.0e-40;
+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-40;
+re2 = -rand( 500 ) .* 1.0e-40;
+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-40;
+im2 = rand( 500 ) .* 1.0e-40;
+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-40;
+im2 = -rand( 500 ) .* 1.0e-40;
+gen( re1, im1, re2, im2, "tiny_negative_imaginary_components.json" );
+
+# Real components different scales:
+re1 = rand( 500 ) .* 1.0e25;
+re2 = rand( 500 ) .* 1.0e-12;
+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 ) .* 1.0e25;
+im2 = rand( 500 ) .* 1.0e-12;
+gen( re1, im1, re2, im2, "imaginary_component_scales.json" );
+
+# Components different scales:
+re1 = rand( 500 ) .* 1.0e19;
+re2 = rand( 500 ) .* 1.0e19;
+im1 = ( rand( 500 ) .* 1.0e-19 ) .- 0.5e-19;
+im2 = ( rand( 500 ) .* 1.0e-19 ) .- 0.5e-19;
+gen( re1, im1, re2, im2, "component_scales1.json" );
+
+# Components different scales:
+re1 = ( rand( 500 ) .* 1.0e-19 ) .- 0.5e-19;
+re2 = ( rand( 500 ) .* 1.0e-19 ) .- 0.5e-19;
+im1 = rand( 500 ) .* 1.0e19;
+im2 = rand( 500 ) .* 1.0e19;
+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/complex/float32/base/div/test/fixtures/julia/tiny_negative_imaginary_components.json b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/tiny_negative_imaginary_components.json
new file mode 100644
index 000000000000..682ca5a0ac0e
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/tiny_negative_imaginary_components.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/tiny_negative_real_components.json b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/tiny_negative_real_components.json
new file mode 100644
index 000000000000..4a6708105ca6
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/tiny_negative_real_components.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/tiny_positive_imaginary_components.json b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/tiny_positive_imaginary_components.json
new file mode 100644
index 000000000000..55d620260c8c
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/tiny_positive_imaginary_components.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/tiny_positive_real_components.json b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/tiny_positive_real_components.json
new file mode 100644
index 000000000000..cdb45380f316
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/test/fixtures/julia/tiny_positive_real_components.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/test/test.assign.js b/lib/node_modules/@stdlib/complex/float32/base/div/test/test.assign.js
new file mode 100644
index 000000000000..4cbe064b748d
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/test/test.assign.js
@@ -0,0 +1,895 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 PINF = require( '@stdlib/constants/float32/pinf' );
+var NINF = require( '@stdlib/constants/float32/ninf' );
+var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var isNegativeZerof = require( '@stdlib/math/base/assert/is-negative-zerof' );
+var isPositiveZerof = require( '@stdlib/math/base/assert/is-positive-zerof' );
+var isSameFloat32Array = require( '@stdlib/assert/is-same-float32array' );
+var f32 = require( '@stdlib/number/float64/base/to-float32' );
+var Float32Array = require( '@stdlib/array/float32' );
+var div = require( './../lib/assign.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 div, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function divides two complex numbers', function test( t ) {
+ var expected;
+ var out;
+ var v;
+
+ out = new Float32Array( 2 );
+ v = div( -13.0, -1.0, -2.0, 1.0, out, 1, 0 );
+
+ expected = new Float32Array( [ 5.0, 3.0 ] );
+
+ t.strictEqual( v, out, 'returns expected value' );
+ t.strictEqual( isSameFloat32Array( out, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 4 );
+ v = div( -13.0, -1.0, -2.0, 1.0, out, 2, 0 );
+
+ expected = new Float32Array( [ 5.0, 0.0, 3.0, 0.0 ] );
+
+ t.strictEqual( v, out, 'returns expected value' );
+ t.strictEqual( isSameFloat32Array( out, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 4 );
+ v = div( -13.0, -1.0, -2.0, 1.0, out, 2, 1 );
+
+ expected = new Float32Array( [ 0.0, 5.0, 0.0, 3.0 ] );
+
+ t.strictEqual( v, out, 'returns expected value' );
+ t.strictEqual( isSameFloat32Array( out, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 4 );
+ v = div( -13.0, -1.0, -2.0, 1.0, out, -2, 3 );
+
+ expected = new Float32Array( [ 0.0, 3.0, 0.0, 5.0 ] );
+
+ t.strictEqual( v, out, 'returns expected value' );
+ t.strictEqual( isSameFloat32Array( out, expected ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tested against fixtures)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var out;
+ var i;
+ var q;
+
+ // Note: fixture values were generated using Julia, whose `Complex{Float32}` division implements the same algorithm, and results are thus expected to be identical (here and in subsequent fixture tests).
+ re1 = new Float32Array( data.re1 );
+ im1 = new Float32Array( data.im1 );
+ re2 = new Float32Array( data.re2 );
+ im2 = new Float32Array( data.im2 );
+ qre = new Float32Array( data.qre );
+ qim = new Float32Array( data.qim );
+ out = new Float32Array( 2 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ q = div( re1[ i ], im1[ i ], re2[ i ], im2[ i ], out, 1, 0 );
+ t.strictEqual( q[ 0 ], qre[ i ], 'returns expected value' );
+ t.strictEqual( q[ 1 ], qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (different component scales)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var out;
+ var i;
+ var q;
+
+ re1 = new Float32Array( componentScales1.re1 );
+ im1 = new Float32Array( componentScales1.im1 );
+ re2 = new Float32Array( componentScales1.re2 );
+ im2 = new Float32Array( componentScales1.im2 );
+ qre = new Float32Array( componentScales1.qre );
+ qim = new Float32Array( componentScales1.qim );
+ out = new Float32Array( 2 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ q = div( re1[ i ], im1[ i ], re2[ i ], im2[ i ], out, 1, 0 );
+ t.strictEqual( q[ 0 ], qre[ i ], 'returns expected value' );
+ t.strictEqual( q[ 1 ], qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (different component scales)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var out;
+ var i;
+ var q;
+
+ re1 = new Float32Array( componentScales2.re1 );
+ im1 = new Float32Array( componentScales2.im1 );
+ re2 = new Float32Array( componentScales2.re2 );
+ im2 = new Float32Array( componentScales2.im2 );
+ qre = new Float32Array( componentScales2.qre );
+ qim = new Float32Array( componentScales2.qim );
+ out = new Float32Array( 2 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ q = div( re1[ i ], im1[ i ], re2[ i ], im2[ i ], out, 1, 0 );
+ t.strictEqual( q[ 0 ], qre[ i ], 'returns expected value' );
+ t.strictEqual( q[ 1 ], qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (different imaginary component scales)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var out;
+ var i;
+ var q;
+
+ re1 = new Float32Array( imaginaryComponentScales.re1 );
+ im1 = new Float32Array( imaginaryComponentScales.im1 );
+ re2 = new Float32Array( imaginaryComponentScales.re2 );
+ im2 = new Float32Array( imaginaryComponentScales.im2 );
+ qre = new Float32Array( imaginaryComponentScales.qre );
+ qim = new Float32Array( imaginaryComponentScales.qim );
+ out = new Float32Array( 2 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ q = div( re1[ i ], im1[ i ], re2[ i ], im2[ i ], out, 1, 0 );
+ t.strictEqual( q[ 0 ], qre[ i ], 'returns expected value' );
+ t.strictEqual( q[ 1 ], qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (different real component scales)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var out;
+ var i;
+ var q;
+
+ re1 = new Float32Array( realComponentScales.re1 );
+ im1 = new Float32Array( realComponentScales.im1 );
+ re2 = new Float32Array( realComponentScales.re2 );
+ im2 = new Float32Array( realComponentScales.im2 );
+ qre = new Float32Array( realComponentScales.qre );
+ qim = new Float32Array( realComponentScales.qim );
+ out = new Float32Array( 2 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ q = div( re1[ i ], im1[ i ], re2[ i ], im2[ i ], out, 1, 0 );
+ t.strictEqual( q[ 0 ], qre[ i ], 'returns expected value' );
+ t.strictEqual( q[ 1 ], qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (large negative imaginary components)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var out;
+ var i;
+ var q;
+
+ re1 = new Float32Array( largeNegativeImaginaryComponents.re1 );
+ im1 = new Float32Array( largeNegativeImaginaryComponents.im1 );
+ re2 = new Float32Array( largeNegativeImaginaryComponents.re2 );
+ im2 = new Float32Array( largeNegativeImaginaryComponents.im2 );
+ qre = new Float32Array( largeNegativeImaginaryComponents.qre );
+ qim = new Float32Array( largeNegativeImaginaryComponents.qim );
+ out = new Float32Array( 2 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ q = div( re1[ i ], im1[ i ], re2[ i ], im2[ i ], out, 1, 0 );
+ t.strictEqual( q[ 0 ], qre[ i ], 'returns expected value' );
+ t.strictEqual( q[ 1 ], qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (large negative real components)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var out;
+ var i;
+ var q;
+
+ re1 = new Float32Array( largeNegativeRealComponents.re1 );
+ im1 = new Float32Array( largeNegativeRealComponents.im1 );
+ re2 = new Float32Array( largeNegativeRealComponents.re2 );
+ im2 = new Float32Array( largeNegativeRealComponents.im2 );
+ qre = new Float32Array( largeNegativeRealComponents.qre );
+ qim = new Float32Array( largeNegativeRealComponents.qim );
+ out = new Float32Array( 2 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ q = div( re1[ i ], im1[ i ], re2[ i ], im2[ i ], out, 1, 0 );
+ t.strictEqual( q[ 0 ], qre[ i ], 'returns expected value' );
+ t.strictEqual( q[ 1 ], qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (large positive imaginary components)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var out;
+ var i;
+ var q;
+
+ re1 = new Float32Array( largePositiveImaginaryComponents.re1 );
+ im1 = new Float32Array( largePositiveImaginaryComponents.im1 );
+ re2 = new Float32Array( largePositiveImaginaryComponents.re2 );
+ im2 = new Float32Array( largePositiveImaginaryComponents.im2 );
+ qre = new Float32Array( largePositiveImaginaryComponents.qre );
+ qim = new Float32Array( largePositiveImaginaryComponents.qim );
+ out = new Float32Array( 2 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ q = div( re1[ i ], im1[ i ], re2[ i ], im2[ i ], out, 1, 0 );
+ t.strictEqual( q[ 0 ], qre[ i ], 'returns expected value' );
+ t.strictEqual( q[ 1 ], qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (large positive real components)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var out;
+ var i;
+ var q;
+
+ re1 = new Float32Array( largePositiveRealComponents.re1 );
+ im1 = new Float32Array( largePositiveRealComponents.im1 );
+ re2 = new Float32Array( largePositiveRealComponents.re2 );
+ im2 = new Float32Array( largePositiveRealComponents.im2 );
+ qre = new Float32Array( largePositiveRealComponents.qre );
+ qim = new Float32Array( largePositiveRealComponents.qim );
+ out = new Float32Array( 2 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ q = div( re1[ i ], im1[ i ], re2[ i ], im2[ i ], out, 1, 0 );
+ t.strictEqual( q[ 0 ], qre[ i ], 'returns expected value' );
+ t.strictEqual( q[ 1 ], qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tiny negative imaginary components)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var out;
+ var i;
+ var q;
+
+ re1 = new Float32Array( tinyNegativeImaginaryComponents.re1 );
+ im1 = new Float32Array( tinyNegativeImaginaryComponents.im1 );
+ re2 = new Float32Array( tinyNegativeImaginaryComponents.re2 );
+ im2 = new Float32Array( tinyNegativeImaginaryComponents.im2 );
+ qre = new Float32Array( tinyNegativeImaginaryComponents.qre );
+ qim = new Float32Array( tinyNegativeImaginaryComponents.qim );
+ out = new Float32Array( 2 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ q = div( re1[ i ], im1[ i ], re2[ i ], im2[ i ], out, 1, 0 );
+ t.strictEqual( q[ 0 ], qre[ i ], 'returns expected value' );
+ t.strictEqual( q[ 1 ], qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tiny negative real components)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var out;
+ var i;
+ var q;
+
+ re1 = new Float32Array( tinyNegativeRealComponents.re1 );
+ im1 = new Float32Array( tinyNegativeRealComponents.im1 );
+ re2 = new Float32Array( tinyNegativeRealComponents.re2 );
+ im2 = new Float32Array( tinyNegativeRealComponents.im2 );
+ qre = new Float32Array( tinyNegativeRealComponents.qre );
+ qim = new Float32Array( tinyNegativeRealComponents.qim );
+ out = new Float32Array( 2 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ q = div( re1[ i ], im1[ i ], re2[ i ], im2[ i ], out, 1, 0 );
+ t.strictEqual( q[ 0 ], qre[ i ], 'returns expected value' );
+ t.strictEqual( q[ 1 ], qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tiny positive imaginary components)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var out;
+ var i;
+ var q;
+
+ re1 = new Float32Array( tinyPositiveImaginaryComponents.re1 );
+ im1 = new Float32Array( tinyPositiveImaginaryComponents.im1 );
+ re2 = new Float32Array( tinyPositiveImaginaryComponents.re2 );
+ im2 = new Float32Array( tinyPositiveImaginaryComponents.im2 );
+ qre = new Float32Array( tinyPositiveImaginaryComponents.qre );
+ qim = new Float32Array( tinyPositiveImaginaryComponents.qim );
+ out = new Float32Array( 2 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ q = div( re1[ i ], im1[ i ], re2[ i ], im2[ i ], out, 1, 0 );
+ t.strictEqual( q[ 0 ], qre[ i ], 'returns expected value' );
+ t.strictEqual( q[ 1 ], qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tiny positive real components)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var out;
+ var i;
+ var q;
+
+ re1 = new Float32Array( tinyPositiveRealComponents.re1 );
+ im1 = new Float32Array( tinyPositiveRealComponents.im1 );
+ re2 = new Float32Array( tinyPositiveRealComponents.re2 );
+ im2 = new Float32Array( tinyPositiveRealComponents.im2 );
+ qre = new Float32Array( tinyPositiveRealComponents.qre );
+ qim = new Float32Array( tinyPositiveRealComponents.qim );
+ out = new Float32Array( 2 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ q = div( re1[ i ], im1[ i ], re2[ i ], im2[ i ], out, 1, 0 );
+ t.strictEqual( q[ 0 ], qre[ i ], 'returns expected value' );
+ t.strictEqual( q[ 1 ], qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function handles large and small numbers', function test( t ) {
+ var expected;
+ var out;
+ var v;
+
+ // Note: expected values were computed using Julia's `Complex{Float32}` division (here and in subsequent tests).
+
+ out = new Float32Array( 2 );
+ v = div( f32( 1.0e38 ), f32( 5.0e37 ), 1.0, 0.5, out, 1, 0 );
+ expected = new Float32Array( [ 1.0e38, 0.0 ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( 1.0, 0.5, f32( 1.0e38 ), f32( 5.0e37 ), out, 1, 0 );
+ expected = new Float32Array( [ 1.0000001e-38, 0.0 ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( f32( 1.0e-38 ), f32( 2.0e-38 ), 1.0, 2.0, out, 1, 0 );
+ expected = new Float32Array( [ 1.0e-38, 0.0 ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( 1.0, 2.0, f32( 1.0e-38 ), f32( 2.0e-38 ), out, 1, 0 );
+ expected = new Float32Array( [ 1.0e38, -2.802597e30 ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( 2.0, 4.0, 0.0, 2.0, out, 1, 0 );
+ expected = new Float32Array( [ 2.0, -1.0 ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( f32( 1.0e-20 ), f32( 1.0e-20 ), 1.0, f32( 1.0e-20 ), out, 1, 0 );
+ expected = new Float32Array( [ 1.0e-20, 1.0e-20 ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function handles equal-magnitude denominator components', function test( t ) {
+ var expected;
+ var out;
+ var v;
+
+ out = new Float32Array( 2 );
+ v = div( 7.0, 3.0, 5.0, 5.0, out, 1, 0 );
+ expected = new Float32Array( [ 1.0, -0.4 ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( 7.0, 3.0, 5.0, -5.0, out, 1, 0 );
+ expected = new Float32Array( [ 0.4, 1.0 ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( 1.0, 1.0, 1.0, 1.0, out, 1, 0 );
+ expected = new Float32Array( [ 1.0, 0.0 ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function handles purely real and purely imaginary operands', function test( t ) {
+ var expected;
+ var out;
+ var v;
+
+ out = new Float32Array( 2 );
+ v = div( 6.0, 0.0, 3.0, 0.0, out, 1, 0 );
+ expected = new Float32Array( [ 2.0, 0.0 ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( 0.0, 6.0, 0.0, 3.0, out, 1, 0 );
+ expected = new Float32Array( [ 2.0, 0.0 ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( 6.0, 0.0, 0.0, 3.0, out, 1, 0 );
+ expected = new Float32Array( [ 0.0, -2.0 ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( 5.0, 3.0, 0.0, 2.0, out, 1, 0 );
+ expected = new Float32Array( [ 1.5, -2.5 ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( 5.0, 3.0, -2.0, 1.0, out, 1, 0 );
+ expected = new Float32Array( [ -1.4, -2.2 ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function handles extreme finite operands', function test( t ) {
+ var expected;
+ var out;
+ var v;
+
+ out = new Float32Array( 2 );
+ v = div( f32( 3.4028235e38 ), 1.0, 1.0, f32( 3.4028235e38 ), out, 1, 0 );
+ expected = new Float32Array( [ 5.877472e-39, -1.0 ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( f32( 3.4028235e38 ), f32( 3.4028235e38 ), f32( 3.4028235e38 ), f32( 3.4028235e38 ), out, 1, 0 ); // eslint-disable-line max-len
+ expected = new Float32Array( [ 1.0, 0.0 ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( f32( 1.0e18 ), 5.0, f32( 2.0e18 ), -3.0, out, 1, 0 );
+ expected = new Float32Array( [ 0.5, 3.25e-18 ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports gradual underflow (subnormal results)', function test( t ) {
+ var expected;
+ var out;
+ var v;
+
+ out = new Float32Array( 2 );
+ v = div( f32( 1.0e-38 ), f32( 1.0e-38 ), 3.0, 4.0, out, 1, 0 );
+ expected = new Float32Array( [ 2.8e-39, -4.0e-40 ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( f32( 1.1754944e-38 ), 0.0, 1.0, 1.0, out, 1, 0 );
+ expected = new Float32Array( [ 5.877472e-39, -5.877472e-39 ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( f32( 1.4e-45 ), 0.0, 2.0, 0.0, out, 1, 0 );
+ expected = new Float32Array( [ 0.0, 0.0 ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( 1.0, 1.0, f32( 1.4e-45 ), 0.0, out, 1, 0 );
+ expected = new Float32Array( [ PINF, PINF ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function may overflow during complex division', function test( t ) {
+ var expected;
+ var out;
+ var lg;
+ var tn;
+ var v;
+
+ lg = f32( 1.0e38 );
+ tn = f32( 5.0e-45 );
+
+ out = new Float32Array( 2 );
+ v = div( lg, lg, tn, tn, out, 1, 0 );
+ expected = new Float32Array( [ PINF, 0.0 ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( lg, lg, -tn, tn, out, 1, 0 );
+ expected = new Float32Array( [ 0.0, NINF ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( lg, -lg, tn, tn, out, 1, 0 );
+ expected = new Float32Array( [ 0.0, NINF ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( -lg, lg, tn, tn, out, 1, 0 );
+ expected = new Float32Array( [ 0.0, PINF ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( lg, lg, tn, -tn, out, 1, 0 );
+ expected = new Float32Array( [ 0.0, PINF ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( -lg, lg, -tn, tn, out, 1, 0 );
+ expected = new Float32Array( [ PINF, 0.0 ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( lg, -lg, tn, -tn, out, 1, 0 );
+ expected = new Float32Array( [ PINF, 0.0 ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( lg, -lg, -tn, tn, out, 1, 0 );
+ expected = new Float32Array( [ NINF, 0.0 ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( -lg, lg, tn, -tn, out, 1, 0 );
+ expected = new Float32Array( [ NINF, 0.0 ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( -lg, -lg, -tn, tn, out, 1, 0 );
+ expected = new Float32Array( [ 0.0, PINF ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( lg, -lg, -tn, -tn, out, 1, 0 );
+ expected = new Float32Array( [ 0.0, PINF ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( -lg, lg, -tn, -tn, out, 1, 0 );
+ expected = new Float32Array( [ 0.0, NINF ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( -lg, -lg, tn, -tn, out, 1, 0 );
+ expected = new Float32Array( [ 0.0, NINF ] );
+ t.strictEqual( isSameFloat32Array( v, expected ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function preserves the sign of zero numerator components', function test( t ) {
+ var out;
+ var v;
+
+ out = new Float32Array( 2 );
+ v = div( 0.0, -0.0, 2.0, 0.0, out, 1, 0 );
+ t.strictEqual( isPositiveZerof( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isNegativeZerof( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( -0.0, -0.0, 2.0, 0.0, out, 1, 0 );
+ t.strictEqual( isNegativeZerof( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isPositiveZerof( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( -0.0, 0.0, 2.0, 0.0, out, 1, 0 );
+ t.strictEqual( isPositiveZerof( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isPositiveZerof( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( 0.0, 0.0, -2.0, 0.0, out, 1, 0 );
+ t.strictEqual( isPositiveZerof( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isNegativeZerof( v[ 1 ] ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns signed zeros when dividing a finite complex number by an infinite complex number', function test( t ) {
+ var out;
+ var v;
+
+ out = new Float32Array( 2 );
+ v = div( 5.0, 3.0, PINF, 1.0, out, 1, 0 );
+ t.strictEqual( isPositiveZerof( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isNegativeZerof( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( 5.0, 3.0, NINF, 1.0, out, 1, 0 );
+ t.strictEqual( isNegativeZerof( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isNegativeZerof( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( -5.0, 3.0, 1.0, PINF, out, 1, 0 );
+ t.strictEqual( isNegativeZerof( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isNegativeZerof( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( 5.0, -3.0, 1.0, NINF, out, 1, 0 );
+ t.strictEqual( isPositiveZerof( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isNegativeZerof( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( -5.0, -3.0, PINF, 1.0, out, 1, 0 );
+ t.strictEqual( isNegativeZerof( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isPositiveZerof( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( 0.0, 0.0, PINF, 1.0, out, 1, 0 );
+ t.strictEqual( isPositiveZerof( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isNegativeZerof( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( -0.0, 3.0, PINF, 1.0, out, 1, 0 );
+ t.strictEqual( isNegativeZerof( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isNegativeZerof( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( 5.0, 3.0, PINF, PINF, out, 1, 0 );
+ t.strictEqual( isPositiveZerof( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isNegativeZerof( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( 5.0, 3.0, NINF, NINF, out, 1, 0 );
+ t.strictEqual( isNegativeZerof( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isPositiveZerof( v[ 1 ] ), true, 'returns expected value' );
+
+ // Denominators having an infinite component and a `NaN` component:
+ out = new Float32Array( 2 );
+ v = div( 5.0, 3.0, PINF, NaN, out, 1, 0 );
+ t.strictEqual( isPositiveZerof( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isnanf( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( 5.0, 3.0, NaN, PINF, out, 1, 0 );
+ t.strictEqual( isnanf( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isNegativeZerof( v[ 1 ] ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns `NaN` components when dividing a non-finite complex number by an infinite complex number', function test( t ) {
+ var out;
+ var v;
+
+ out = new Float32Array( 2 );
+ v = div( PINF, 1.0, PINF, 1.0, out, 1, 0 );
+ t.strictEqual( isnanf( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isnanf( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( NaN, 1.0, 1.0, PINF, out, 1, 0 );
+ t.strictEqual( isnanf( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isnanf( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( 1.0, NaN, PINF, 1.0, out, 1, 0 );
+ t.strictEqual( isnanf( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isnanf( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( PINF, NaN, PINF, PINF, out, 1, 0 );
+ t.strictEqual( isnanf( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isnanf( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( NINF, 2.0, PINF, 1.0, out, 1, 0 );
+ t.strictEqual( isnanf( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isnanf( v[ 1 ] ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns `NaN` components when dividing by complex zero', function test( t ) {
+ var out;
+ var v;
+
+ out = new Float32Array( 2 );
+ v = div( 1.0, 2.0, 0.0, 0.0, out, 1, 0 );
+ t.strictEqual( isnanf( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isnanf( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( 1.0, 2.0, -0.0, 0.0, out, 1, 0 );
+ t.strictEqual( isnanf( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isnanf( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( 0.0, 0.0, 0.0, 0.0, out, 1, 0 );
+ t.strictEqual( isnanf( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isnanf( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( PINF, 2.0, 0.0, 0.0, out, 1, 0 );
+ t.strictEqual( isnanf( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isnanf( v[ 1 ] ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns non-finite components when dividing an infinite complex number by a finite complex number', function test( t ) {
+ var out;
+ var v;
+
+ out = new Float32Array( 2 );
+ v = div( PINF, 0.0, 1.0, 0.0, out, 1, 0 );
+ t.strictEqual( v[ 0 ], PINF, 'returns expected value' );
+ t.strictEqual( isnanf( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( PINF, 2.0, 1.0, 1.0, out, 1, 0 );
+ t.strictEqual( v[ 0 ], PINF, 'returns expected value' );
+ t.strictEqual( v[ 1 ], NINF, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( 0.0, PINF, 1.0, 1.0, out, 1, 0 );
+ t.strictEqual( v[ 0 ], PINF, 'returns expected value' );
+ t.strictEqual( v[ 1 ], PINF, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( NINF, PINF, 2.0, 3.0, out, 1, 0 );
+ t.strictEqual( isnanf( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( v[ 1 ], PINF, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if a real or imaginary component is `NaN`, all components are `NaN`', function test( t ) {
+ var out;
+ var v;
+
+ out = new Float32Array( 2 );
+ v = div( NaN, 3.0, -2.0, 1.0, out, 1, 0 );
+ t.strictEqual( isnanf( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isnanf( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( 5.0, NaN, -2.0, 1.0, out, 1, 0 );
+ t.strictEqual( isnanf( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isnanf( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( 5.0, 3.0, NaN, 1.0, out, 1, 0 );
+ t.strictEqual( isnanf( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isnanf( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( 5.0, 3.0, -2.0, NaN, out, 1, 0 );
+ t.strictEqual( isnanf( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isnanf( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( 5.0, 3.0, NaN, NaN, out, 1, 0 );
+ t.strictEqual( isnanf( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isnanf( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( NaN, NaN, -2.0, 1.0, out, 1, 0 );
+ t.strictEqual( isnanf( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isnanf( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ v = div( NaN, NaN, NaN, NaN, out, 1, 0 );
+ t.strictEqual( isnanf( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isnanf( v[ 1 ] ), true, 'returns expected value' );
+
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/test/test.js b/lib/node_modules/@stdlib/complex/float32/base/div/test/test.js
new file mode 100644
index 000000000000..1618f1e3bd6d
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/test/test.js
@@ -0,0 +1,44 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 isMethod = require( '@stdlib/assert/is-method' );
+var div = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof div, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'attached to the main export is an `assign` method', function test( t ) {
+ t.strictEqual( isMethod( div, 'assign' ), true, 'returns expected value' );
+ t.end();
+});
+
+tape( 'attached to the main export is a `strided` method', function test( t ) {
+ t.strictEqual( isMethod( div, 'strided' ), true, 'returns expected value' );
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/test/test.main.js b/lib/node_modules/@stdlib/complex/float32/base/div/test/test.main.js
new file mode 100644
index 000000000000..e259dcc5a762
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/test/test.main.js
@@ -0,0 +1,767 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 PINF = require( '@stdlib/constants/float32/pinf' );
+var NINF = require( '@stdlib/constants/float32/ninf' );
+var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var isNegativeZerof = require( '@stdlib/math/base/assert/is-negative-zerof' );
+var isPositiveZerof = require( '@stdlib/math/base/assert/is-positive-zerof' );
+var Complex64 = require( '@stdlib/complex/float32/ctor' );
+var realf = require( '@stdlib/complex/float32/real' );
+var imagf = require( '@stdlib/complex/float32/imag' );
+var Float32Array = require( '@stdlib/array/float32' );
+var f32 = require( '@stdlib/number/float64/base/to-float32' );
+var div = 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 div, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function divides two complex numbers', function test( t ) {
+ var z1;
+ var z2;
+ var v;
+
+ z1 = new Complex64( -13.0, -1.0 );
+ z2 = new Complex64( -2.0, 1.0 );
+
+ v = div( z1, z2 );
+
+ t.strictEqual( v instanceof Complex64, true, 'returns expected value' );
+ t.strictEqual( realf( v ), 5.0, 'returns expected value' );
+ t.strictEqual( imagf( v ), 3.0, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tested against fixtures)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ // Note: fixture values were generated using Julia, whose `Complex{Float32}` division implements the same algorithm, and results are thus expected to be identical (here and in subsequent fixture tests).
+ re1 = data.re1;
+ im1 = data.im1;
+ re2 = data.re2;
+ im2 = data.im2;
+ qre = new Float32Array( data.qre );
+ qim = new Float32Array( data.qim );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Complex64( re1[ i ], im1[ i ] );
+ z2 = new Complex64( re2[ i ], im2[ i ] );
+ q = div( z1, z2 );
+ t.strictEqual( realf( q ), qre[ i ], 'returns expected value' );
+ t.strictEqual( imagf( q ), qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (different component scales)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = componentScales1.re1;
+ im1 = componentScales1.im1;
+ re2 = componentScales1.re2;
+ im2 = componentScales1.im2;
+ qre = new Float32Array( componentScales1.qre );
+ qim = new Float32Array( componentScales1.qim );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Complex64( re1[ i ], im1[ i ] );
+ z2 = new Complex64( re2[ i ], im2[ i ] );
+ q = div( z1, z2 );
+ t.strictEqual( realf( q ), qre[ i ], 'returns expected value' );
+ t.strictEqual( imagf( q ), qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (different component scales)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = componentScales2.re1;
+ im1 = componentScales2.im1;
+ re2 = componentScales2.re2;
+ im2 = componentScales2.im2;
+ qre = new Float32Array( componentScales2.qre );
+ qim = new Float32Array( componentScales2.qim );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Complex64( re1[ i ], im1[ i ] );
+ z2 = new Complex64( re2[ i ], im2[ i ] );
+ q = div( z1, z2 );
+ t.strictEqual( realf( q ), qre[ i ], 'returns expected value' );
+ t.strictEqual( imagf( q ), qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (different imaginary component scales)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = imaginaryComponentScales.re1;
+ im1 = imaginaryComponentScales.im1;
+ re2 = imaginaryComponentScales.re2;
+ im2 = imaginaryComponentScales.im2;
+ qre = new Float32Array( imaginaryComponentScales.qre );
+ qim = new Float32Array( imaginaryComponentScales.qim );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Complex64( re1[ i ], im1[ i ] );
+ z2 = new Complex64( re2[ i ], im2[ i ] );
+ q = div( z1, z2 );
+ t.strictEqual( realf( q ), qre[ i ], 'returns expected value' );
+ t.strictEqual( imagf( q ), qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (different real component scales)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = realComponentScales.re1;
+ im1 = realComponentScales.im1;
+ re2 = realComponentScales.re2;
+ im2 = realComponentScales.im2;
+ qre = new Float32Array( realComponentScales.qre );
+ qim = new Float32Array( realComponentScales.qim );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Complex64( re1[ i ], im1[ i ] );
+ z2 = new Complex64( re2[ i ], im2[ i ] );
+ q = div( z1, z2 );
+ t.strictEqual( realf( q ), qre[ i ], 'returns expected value' );
+ t.strictEqual( imagf( q ), qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (large negative imaginary components)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = largeNegativeImaginaryComponents.re1;
+ im1 = largeNegativeImaginaryComponents.im1;
+ re2 = largeNegativeImaginaryComponents.re2;
+ im2 = largeNegativeImaginaryComponents.im2;
+ qre = new Float32Array( largeNegativeImaginaryComponents.qre );
+ qim = new Float32Array( largeNegativeImaginaryComponents.qim );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Complex64( re1[ i ], im1[ i ] );
+ z2 = new Complex64( re2[ i ], im2[ i ] );
+ q = div( z1, z2 );
+ t.strictEqual( realf( q ), qre[ i ], 'returns expected value' );
+ t.strictEqual( imagf( q ), qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (large negative real components)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = largeNegativeRealComponents.re1;
+ im1 = largeNegativeRealComponents.im1;
+ re2 = largeNegativeRealComponents.re2;
+ im2 = largeNegativeRealComponents.im2;
+ qre = new Float32Array( largeNegativeRealComponents.qre );
+ qim = new Float32Array( largeNegativeRealComponents.qim );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Complex64( re1[ i ], im1[ i ] );
+ z2 = new Complex64( re2[ i ], im2[ i ] );
+ q = div( z1, z2 );
+ t.strictEqual( realf( q ), qre[ i ], 'returns expected value' );
+ t.strictEqual( imagf( q ), qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (large positive imaginary components)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = largePositiveImaginaryComponents.re1;
+ im1 = largePositiveImaginaryComponents.im1;
+ re2 = largePositiveImaginaryComponents.re2;
+ im2 = largePositiveImaginaryComponents.im2;
+ qre = new Float32Array( largePositiveImaginaryComponents.qre );
+ qim = new Float32Array( largePositiveImaginaryComponents.qim );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Complex64( re1[ i ], im1[ i ] );
+ z2 = new Complex64( re2[ i ], im2[ i ] );
+ q = div( z1, z2 );
+ t.strictEqual( realf( q ), qre[ i ], 'returns expected value' );
+ t.strictEqual( imagf( q ), qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (large positive real components)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = largePositiveRealComponents.re1;
+ im1 = largePositiveRealComponents.im1;
+ re2 = largePositiveRealComponents.re2;
+ im2 = largePositiveRealComponents.im2;
+ qre = new Float32Array( largePositiveRealComponents.qre );
+ qim = new Float32Array( largePositiveRealComponents.qim );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Complex64( re1[ i ], im1[ i ] );
+ z2 = new Complex64( re2[ i ], im2[ i ] );
+ q = div( z1, z2 );
+ t.strictEqual( realf( q ), qre[ i ], 'returns expected value' );
+ t.strictEqual( imagf( q ), qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tiny negative imaginary components)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = tinyNegativeImaginaryComponents.re1;
+ im1 = tinyNegativeImaginaryComponents.im1;
+ re2 = tinyNegativeImaginaryComponents.re2;
+ im2 = tinyNegativeImaginaryComponents.im2;
+ qre = new Float32Array( tinyNegativeImaginaryComponents.qre );
+ qim = new Float32Array( tinyNegativeImaginaryComponents.qim );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Complex64( re1[ i ], im1[ i ] );
+ z2 = new Complex64( re2[ i ], im2[ i ] );
+ q = div( z1, z2 );
+ t.strictEqual( realf( q ), qre[ i ], 'returns expected value' );
+ t.strictEqual( imagf( q ), qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tiny negative real components)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = tinyNegativeRealComponents.re1;
+ im1 = tinyNegativeRealComponents.im1;
+ re2 = tinyNegativeRealComponents.re2;
+ im2 = tinyNegativeRealComponents.im2;
+ qre = new Float32Array( tinyNegativeRealComponents.qre );
+ qim = new Float32Array( tinyNegativeRealComponents.qim );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Complex64( re1[ i ], im1[ i ] );
+ z2 = new Complex64( re2[ i ], im2[ i ] );
+ q = div( z1, z2 );
+ t.strictEqual( realf( q ), qre[ i ], 'returns expected value' );
+ t.strictEqual( imagf( q ), qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tiny positive imaginary components)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = tinyPositiveImaginaryComponents.re1;
+ im1 = tinyPositiveImaginaryComponents.im1;
+ re2 = tinyPositiveImaginaryComponents.re2;
+ im2 = tinyPositiveImaginaryComponents.im2;
+ qre = new Float32Array( tinyPositiveImaginaryComponents.qre );
+ qim = new Float32Array( tinyPositiveImaginaryComponents.qim );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Complex64( re1[ i ], im1[ i ] );
+ z2 = new Complex64( re2[ i ], im2[ i ] );
+ q = div( z1, z2 );
+ t.strictEqual( realf( q ), qre[ i ], 'returns expected value' );
+ t.strictEqual( imagf( q ), qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tiny positive real components)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = tinyPositiveRealComponents.re1;
+ im1 = tinyPositiveRealComponents.im1;
+ re2 = tinyPositiveRealComponents.re2;
+ im2 = tinyPositiveRealComponents.im2;
+ qre = new Float32Array( tinyPositiveRealComponents.qre );
+ qim = new Float32Array( tinyPositiveRealComponents.qim );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Complex64( re1[ i ], im1[ i ] );
+ z2 = new Complex64( re2[ i ], im2[ i ] );
+ q = div( z1, z2 );
+ t.strictEqual( realf( q ), qre[ i ], 'returns expected value' );
+ t.strictEqual( imagf( q ), qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function handles large and small numbers', function test( t ) {
+ var z1;
+ var z2;
+ var v;
+
+ // Note: expected values were computed using Julia's `Complex{Float32}` division (here and in subsequent tests).
+
+ z1 = new Complex64( 1.0e38, 5.0e37 );
+ z2 = new Complex64( 1.0, 0.5 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), f32( 1.0e38 ), 'returns expected value' );
+ t.strictEqual( isPositiveZerof( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( 1.0, 0.5 );
+ z2 = new Complex64( 1.0e38, 5.0e37 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), f32( 1.0000001e-38 ), 'returns expected value' );
+ t.strictEqual( isPositiveZerof( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( 1.0e-38, 2.0e-38 );
+ z2 = new Complex64( 1.0, 2.0 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), f32( 1.0e-38 ), 'returns expected value' );
+ t.strictEqual( isPositiveZerof( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( 1.0, 2.0 );
+ z2 = new Complex64( 1.0e-38, 2.0e-38 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), f32( 1.0e38 ), 'returns expected value' );
+ t.strictEqual( imagf( v ), f32( -2.802597e30 ), 'returns expected value' );
+
+ z1 = new Complex64( 2.0, 4.0 );
+ z2 = new Complex64( 0.0, 2.0 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), 2.0, 'returns expected value' );
+ t.strictEqual( imagf( v ), -1.0, 'returns expected value' );
+
+ z1 = new Complex64( 1.0e-20, 1.0e-20 );
+ z2 = new Complex64( 1.0, 1.0e-20 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), f32( 1.0e-20 ), 'returns expected value' );
+ t.strictEqual( imagf( v ), f32( 1.0e-20 ), 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function handles equal-magnitude denominator components', function test( t ) {
+ var z1;
+ var z2;
+ var v;
+
+ z1 = new Complex64( 7.0, 3.0 );
+ z2 = new Complex64( 5.0, 5.0 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), 1.0, 'returns expected value' );
+ t.strictEqual( imagf( v ), f32( -0.4 ), 'returns expected value' );
+
+ z1 = new Complex64( 7.0, 3.0 );
+ z2 = new Complex64( 5.0, -5.0 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), f32( 0.4 ), 'returns expected value' );
+ t.strictEqual( imagf( v ), 1.0, 'returns expected value' );
+
+ z1 = new Complex64( 1.0, 1.0 );
+ z2 = new Complex64( 1.0, 1.0 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), 1.0, 'returns expected value' );
+ t.strictEqual( isPositiveZerof( imagf( v ) ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function handles purely real and purely imaginary operands', function test( t ) {
+ var z1;
+ var z2;
+ var v;
+
+ z1 = new Complex64( 6.0, 0.0 );
+ z2 = new Complex64( 3.0, 0.0 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), 2.0, 'returns expected value' );
+ t.strictEqual( isPositiveZerof( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( 0.0, 6.0 );
+ z2 = new Complex64( 0.0, 3.0 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), 2.0, 'returns expected value' );
+ t.strictEqual( isPositiveZerof( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( 6.0, 0.0 );
+ z2 = new Complex64( 0.0, 3.0 );
+ v = div( z1, z2 );
+ t.strictEqual( isPositiveZerof( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( imagf( v ), -2.0, 'returns expected value' );
+
+ z1 = new Complex64( 5.0, 3.0 );
+ z2 = new Complex64( 0.0, 2.0 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), 1.5, 'returns expected value' );
+ t.strictEqual( imagf( v ), -2.5, 'returns expected value' );
+
+ z1 = new Complex64( 5.0, 3.0 );
+ z2 = new Complex64( -2.0, 1.0 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), f32( -1.4 ), 'returns expected value' );
+ t.strictEqual( imagf( v ), f32( -2.2 ), 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports gradual underflow (subnormal results)', function test( t ) {
+ var z1;
+ var z2;
+ var v;
+
+ z1 = new Complex64( 1.0e-38, 1.0e-38 );
+ z2 = new Complex64( 3.0, 4.0 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), f32( 2.8e-39 ), 'returns expected value' );
+ t.strictEqual( imagf( v ), f32( -4.0e-40 ), 'returns expected value' );
+
+ z1 = new Complex64( 1.1754944e-38, 0.0 );
+ z2 = new Complex64( 1.0, 1.0 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), f32( 5.877472e-39 ), 'returns expected value' );
+ t.strictEqual( imagf( v ), f32( -5.877472e-39 ), 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function may overflow during complex division', function test( t ) {
+ var z1;
+ var z2;
+ var v;
+
+ z1 = new Complex64( 1.0e38, 1.0e38 );
+ z2 = new Complex64( 5.0e-45, 5.0e-45 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), PINF, 'returns expected value' );
+ t.strictEqual( isPositiveZerof( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( 1.0e38, 1.0e38 );
+ z2 = new Complex64( -5.0e-45, 5.0e-45 );
+ v = div( z1, z2 );
+ t.strictEqual( isPositiveZerof( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( imagf( v ), NINF, 'returns expected value' );
+
+ z1 = new Complex64( 1.0e38, -1.0e38 );
+ z2 = new Complex64( 5.0e-45, 5.0e-45 );
+ v = div( z1, z2 );
+ t.strictEqual( isPositiveZerof( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( imagf( v ), NINF, 'returns expected value' );
+
+ z1 = new Complex64( -1.0e38, 1.0e38 );
+ z2 = new Complex64( 5.0e-45, 5.0e-45 );
+ v = div( z1, z2 );
+ t.strictEqual( isPositiveZerof( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( imagf( v ), PINF, 'returns expected value' );
+
+ z1 = new Complex64( -1.0e38, -1.0e38 );
+ z2 = new Complex64( 5.0e-45, -5.0e-45 );
+ v = div( z1, z2 );
+ t.strictEqual( isPositiveZerof( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( imagf( v ), NINF, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns signed zeros when dividing a finite complex number by an infinite complex number', function test( t ) {
+ var z1;
+ var z2;
+ var v;
+
+ z1 = new Complex64( 5.0, 3.0 );
+ z2 = new Complex64( PINF, 1.0 );
+ v = div( z1, z2 );
+ t.strictEqual( isPositiveZerof( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isNegativeZerof( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( 5.0, 3.0 );
+ z2 = new Complex64( NINF, 1.0 );
+ v = div( z1, z2 );
+ t.strictEqual( isNegativeZerof( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isNegativeZerof( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( -5.0, 3.0 );
+ z2 = new Complex64( 1.0, PINF );
+ v = div( z1, z2 );
+ t.strictEqual( isNegativeZerof( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isNegativeZerof( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( -5.0, -3.0 );
+ z2 = new Complex64( PINF, 1.0 );
+ v = div( z1, z2 );
+ t.strictEqual( isNegativeZerof( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isPositiveZerof( imagf( v ) ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns `NaN` components when dividing a non-finite complex number by an infinite complex number', function test( t ) {
+ var z1;
+ var z2;
+ var v;
+
+ z1 = new Complex64( PINF, 1.0 );
+ z2 = new Complex64( PINF, 1.0 );
+ v = div( z1, z2 );
+ t.strictEqual( isnanf( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isnanf( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( NaN, 1.0 );
+ z2 = new Complex64( 1.0, PINF );
+ v = div( z1, z2 );
+ t.strictEqual( isnanf( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isnanf( imagf( v ) ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns `NaN` components when dividing by complex zero', function test( t ) {
+ var z1;
+ var z2;
+ var v;
+
+ z1 = new Complex64( 1.0, 2.0 );
+ z2 = new Complex64( 0.0, 0.0 );
+ v = div( z1, z2 );
+ t.strictEqual( isnanf( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isnanf( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( 0.0, 0.0 );
+ z2 = new Complex64( 0.0, 0.0 );
+ v = div( z1, z2 );
+ t.strictEqual( isnanf( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isnanf( imagf( v ) ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns non-finite components when dividing an infinite complex number by a finite complex number', function test( t ) {
+ var z1;
+ var z2;
+ var v;
+
+ z1 = new Complex64( PINF, 2.0 );
+ z2 = new Complex64( 1.0, 1.0 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), PINF, 'returns expected value' );
+ t.strictEqual( imagf( v ), NINF, 'returns expected value' );
+
+ z1 = new Complex64( 0.0, PINF );
+ z2 = new Complex64( 1.0, 1.0 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), PINF, 'returns expected value' );
+ t.strictEqual( imagf( v ), PINF, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if a real or imaginary component is `NaN`, all components are `NaN`', function test( t ) {
+ var z1;
+ var z2;
+ var v;
+
+ z1 = new Complex64( NaN, 3.0 );
+ z2 = new Complex64( -2.0, 1.0 );
+ v = div( z1, z2 );
+ t.strictEqual( isnanf( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isnanf( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( 5.0, NaN );
+ z2 = new Complex64( -2.0, 1.0 );
+ v = div( z1, z2 );
+ t.strictEqual( isnanf( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isnanf( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( 5.0, 3.0 );
+ z2 = new Complex64( NaN, 1.0 );
+ v = div( z1, z2 );
+ t.strictEqual( isnanf( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isnanf( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( 5.0, 3.0 );
+ z2 = new Complex64( -2.0, NaN );
+ v = div( z1, z2 );
+ t.strictEqual( isnanf( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isnanf( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( 5.0, 3.0 );
+ z2 = new Complex64( NaN, NaN );
+ v = div( z1, z2 );
+ t.strictEqual( isnanf( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isnanf( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( NaN, NaN );
+ z2 = new Complex64( -2.0, 1.0 );
+ v = div( z1, z2 );
+ t.strictEqual( isnanf( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isnanf( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( NaN, NaN );
+ z2 = new Complex64( NaN, NaN );
+ v = div( z1, z2 );
+ t.strictEqual( isnanf( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isnanf( imagf( v ) ), true, 'returns expected value' );
+
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/test/test.native.js b/lib/node_modules/@stdlib/complex/float32/base/div/test/test.native.js
new file mode 100644
index 000000000000..260c21857a44
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/test/test.native.js
@@ -0,0 +1,776 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 resolve = require( 'path' ).resolve;
+var tape = require( 'tape' );
+var PINF = require( '@stdlib/constants/float32/pinf' );
+var NINF = require( '@stdlib/constants/float32/ninf' );
+var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var isNegativeZerof = require( '@stdlib/math/base/assert/is-negative-zerof' );
+var isPositiveZerof = require( '@stdlib/math/base/assert/is-positive-zerof' );
+var Complex64 = require( '@stdlib/complex/float32/ctor' );
+var realf = require( '@stdlib/complex/float32/real' );
+var imagf = require( '@stdlib/complex/float32/imag' );
+var Float32Array = require( '@stdlib/array/float32' );
+var f32 = require( '@stdlib/number/float64/base/to-float32' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+
+
+// VARIABLES //
+
+var div = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+ 'skip': ( div instanceof Error )
+};
+
+
+// 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', opts, function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof div, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function divides two complex numbers', opts, function test( t ) {
+ var z1;
+ var z2;
+ var v;
+
+ z1 = new Complex64( -13.0, -1.0 );
+ z2 = new Complex64( -2.0, 1.0 );
+
+ v = div( z1, z2 );
+
+ t.strictEqual( v instanceof Complex64, true, 'returns expected value' );
+ t.strictEqual( realf( v ), 5.0, 'returns expected value' );
+ t.strictEqual( imagf( v ), 3.0, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tested against fixtures)', opts, function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ // Note: fixture values were generated using Julia, whose `Complex{Float32}` division implements the same algorithm, and results are thus expected to be identical (here and in subsequent fixture tests).
+ re1 = data.re1;
+ im1 = data.im1;
+ re2 = data.re2;
+ im2 = data.im2;
+ qre = new Float32Array( data.qre );
+ qim = new Float32Array( data.qim );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Complex64( re1[ i ], im1[ i ] );
+ z2 = new Complex64( re2[ i ], im2[ i ] );
+ q = div( z1, z2 );
+ t.strictEqual( realf( q ), qre[ i ], 'returns expected value' );
+ t.strictEqual( imagf( q ), qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (different component scales)', opts, function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = componentScales1.re1;
+ im1 = componentScales1.im1;
+ re2 = componentScales1.re2;
+ im2 = componentScales1.im2;
+ qre = new Float32Array( componentScales1.qre );
+ qim = new Float32Array( componentScales1.qim );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Complex64( re1[ i ], im1[ i ] );
+ z2 = new Complex64( re2[ i ], im2[ i ] );
+ q = div( z1, z2 );
+ t.strictEqual( realf( q ), qre[ i ], 'returns expected value' );
+ t.strictEqual( imagf( q ), qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (different component scales)', opts, function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = componentScales2.re1;
+ im1 = componentScales2.im1;
+ re2 = componentScales2.re2;
+ im2 = componentScales2.im2;
+ qre = new Float32Array( componentScales2.qre );
+ qim = new Float32Array( componentScales2.qim );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Complex64( re1[ i ], im1[ i ] );
+ z2 = new Complex64( re2[ i ], im2[ i ] );
+ q = div( z1, z2 );
+ t.strictEqual( realf( q ), qre[ i ], 'returns expected value' );
+ t.strictEqual( imagf( q ), qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (different imaginary component scales)', opts, function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = imaginaryComponentScales.re1;
+ im1 = imaginaryComponentScales.im1;
+ re2 = imaginaryComponentScales.re2;
+ im2 = imaginaryComponentScales.im2;
+ qre = new Float32Array( imaginaryComponentScales.qre );
+ qim = new Float32Array( imaginaryComponentScales.qim );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Complex64( re1[ i ], im1[ i ] );
+ z2 = new Complex64( re2[ i ], im2[ i ] );
+ q = div( z1, z2 );
+ t.strictEqual( realf( q ), qre[ i ], 'returns expected value' );
+ t.strictEqual( imagf( q ), qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (different real component scales)', opts, function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = realComponentScales.re1;
+ im1 = realComponentScales.im1;
+ re2 = realComponentScales.re2;
+ im2 = realComponentScales.im2;
+ qre = new Float32Array( realComponentScales.qre );
+ qim = new Float32Array( realComponentScales.qim );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Complex64( re1[ i ], im1[ i ] );
+ z2 = new Complex64( re2[ i ], im2[ i ] );
+ q = div( z1, z2 );
+ t.strictEqual( realf( q ), qre[ i ], 'returns expected value' );
+ t.strictEqual( imagf( q ), qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (large negative imaginary components)', opts, function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = largeNegativeImaginaryComponents.re1;
+ im1 = largeNegativeImaginaryComponents.im1;
+ re2 = largeNegativeImaginaryComponents.re2;
+ im2 = largeNegativeImaginaryComponents.im2;
+ qre = new Float32Array( largeNegativeImaginaryComponents.qre );
+ qim = new Float32Array( largeNegativeImaginaryComponents.qim );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Complex64( re1[ i ], im1[ i ] );
+ z2 = new Complex64( re2[ i ], im2[ i ] );
+ q = div( z1, z2 );
+ t.strictEqual( realf( q ), qre[ i ], 'returns expected value' );
+ t.strictEqual( imagf( q ), qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (large negative real components)', opts, function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = largeNegativeRealComponents.re1;
+ im1 = largeNegativeRealComponents.im1;
+ re2 = largeNegativeRealComponents.re2;
+ im2 = largeNegativeRealComponents.im2;
+ qre = new Float32Array( largeNegativeRealComponents.qre );
+ qim = new Float32Array( largeNegativeRealComponents.qim );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Complex64( re1[ i ], im1[ i ] );
+ z2 = new Complex64( re2[ i ], im2[ i ] );
+ q = div( z1, z2 );
+ t.strictEqual( realf( q ), qre[ i ], 'returns expected value' );
+ t.strictEqual( imagf( q ), qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (large positive imaginary components)', opts, function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = largePositiveImaginaryComponents.re1;
+ im1 = largePositiveImaginaryComponents.im1;
+ re2 = largePositiveImaginaryComponents.re2;
+ im2 = largePositiveImaginaryComponents.im2;
+ qre = new Float32Array( largePositiveImaginaryComponents.qre );
+ qim = new Float32Array( largePositiveImaginaryComponents.qim );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Complex64( re1[ i ], im1[ i ] );
+ z2 = new Complex64( re2[ i ], im2[ i ] );
+ q = div( z1, z2 );
+ t.strictEqual( realf( q ), qre[ i ], 'returns expected value' );
+ t.strictEqual( imagf( q ), qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (large positive real components)', opts, function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = largePositiveRealComponents.re1;
+ im1 = largePositiveRealComponents.im1;
+ re2 = largePositiveRealComponents.re2;
+ im2 = largePositiveRealComponents.im2;
+ qre = new Float32Array( largePositiveRealComponents.qre );
+ qim = new Float32Array( largePositiveRealComponents.qim );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Complex64( re1[ i ], im1[ i ] );
+ z2 = new Complex64( re2[ i ], im2[ i ] );
+ q = div( z1, z2 );
+ t.strictEqual( realf( q ), qre[ i ], 'returns expected value' );
+ t.strictEqual( imagf( q ), qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tiny negative imaginary components)', opts, function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = tinyNegativeImaginaryComponents.re1;
+ im1 = tinyNegativeImaginaryComponents.im1;
+ re2 = tinyNegativeImaginaryComponents.re2;
+ im2 = tinyNegativeImaginaryComponents.im2;
+ qre = new Float32Array( tinyNegativeImaginaryComponents.qre );
+ qim = new Float32Array( tinyNegativeImaginaryComponents.qim );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Complex64( re1[ i ], im1[ i ] );
+ z2 = new Complex64( re2[ i ], im2[ i ] );
+ q = div( z1, z2 );
+ t.strictEqual( realf( q ), qre[ i ], 'returns expected value' );
+ t.strictEqual( imagf( q ), qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tiny negative real components)', opts, function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = tinyNegativeRealComponents.re1;
+ im1 = tinyNegativeRealComponents.im1;
+ re2 = tinyNegativeRealComponents.re2;
+ im2 = tinyNegativeRealComponents.im2;
+ qre = new Float32Array( tinyNegativeRealComponents.qre );
+ qim = new Float32Array( tinyNegativeRealComponents.qim );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Complex64( re1[ i ], im1[ i ] );
+ z2 = new Complex64( re2[ i ], im2[ i ] );
+ q = div( z1, z2 );
+ t.strictEqual( realf( q ), qre[ i ], 'returns expected value' );
+ t.strictEqual( imagf( q ), qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tiny positive imaginary components)', opts, function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = tinyPositiveImaginaryComponents.re1;
+ im1 = tinyPositiveImaginaryComponents.im1;
+ re2 = tinyPositiveImaginaryComponents.re2;
+ im2 = tinyPositiveImaginaryComponents.im2;
+ qre = new Float32Array( tinyPositiveImaginaryComponents.qre );
+ qim = new Float32Array( tinyPositiveImaginaryComponents.qim );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Complex64( re1[ i ], im1[ i ] );
+ z2 = new Complex64( re2[ i ], im2[ i ] );
+ q = div( z1, z2 );
+ t.strictEqual( realf( q ), qre[ i ], 'returns expected value' );
+ t.strictEqual( imagf( q ), qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tiny positive real components)', opts, function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = tinyPositiveRealComponents.re1;
+ im1 = tinyPositiveRealComponents.im1;
+ re2 = tinyPositiveRealComponents.re2;
+ im2 = tinyPositiveRealComponents.im2;
+ qre = new Float32Array( tinyPositiveRealComponents.qre );
+ qim = new Float32Array( tinyPositiveRealComponents.qim );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Complex64( re1[ i ], im1[ i ] );
+ z2 = new Complex64( re2[ i ], im2[ i ] );
+ q = div( z1, z2 );
+ t.strictEqual( realf( q ), qre[ i ], 'returns expected value' );
+ t.strictEqual( imagf( q ), qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function handles large and small numbers', opts, function test( t ) {
+ var z1;
+ var z2;
+ var v;
+
+ // Note: expected values were computed using Julia's `Complex{Float32}` division (here and in subsequent tests).
+
+ z1 = new Complex64( 1.0e38, 5.0e37 );
+ z2 = new Complex64( 1.0, 0.5 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), f32( 1.0e38 ), 'returns expected value' );
+ t.strictEqual( isPositiveZerof( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( 1.0, 0.5 );
+ z2 = new Complex64( 1.0e38, 5.0e37 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), f32( 1.0000001e-38 ), 'returns expected value' );
+ t.strictEqual( isPositiveZerof( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( 1.0e-38, 2.0e-38 );
+ z2 = new Complex64( 1.0, 2.0 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), f32( 1.0e-38 ), 'returns expected value' );
+ t.strictEqual( isPositiveZerof( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( 1.0, 2.0 );
+ z2 = new Complex64( 1.0e-38, 2.0e-38 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), f32( 1.0e38 ), 'returns expected value' );
+ t.strictEqual( imagf( v ), f32( -2.802597e30 ), 'returns expected value' );
+
+ z1 = new Complex64( 2.0, 4.0 );
+ z2 = new Complex64( 0.0, 2.0 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), 2.0, 'returns expected value' );
+ t.strictEqual( imagf( v ), -1.0, 'returns expected value' );
+
+ z1 = new Complex64( 1.0e-20, 1.0e-20 );
+ z2 = new Complex64( 1.0, 1.0e-20 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), f32( 1.0e-20 ), 'returns expected value' );
+ t.strictEqual( imagf( v ), f32( 1.0e-20 ), 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function handles equal-magnitude denominator components', opts, function test( t ) {
+ var z1;
+ var z2;
+ var v;
+
+ z1 = new Complex64( 7.0, 3.0 );
+ z2 = new Complex64( 5.0, 5.0 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), 1.0, 'returns expected value' );
+ t.strictEqual( imagf( v ), f32( -0.4 ), 'returns expected value' );
+
+ z1 = new Complex64( 7.0, 3.0 );
+ z2 = new Complex64( 5.0, -5.0 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), f32( 0.4 ), 'returns expected value' );
+ t.strictEqual( imagf( v ), 1.0, 'returns expected value' );
+
+ z1 = new Complex64( 1.0, 1.0 );
+ z2 = new Complex64( 1.0, 1.0 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), 1.0, 'returns expected value' );
+ t.strictEqual( isPositiveZerof( imagf( v ) ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function handles purely real and purely imaginary operands', opts, function test( t ) {
+ var z1;
+ var z2;
+ var v;
+
+ z1 = new Complex64( 6.0, 0.0 );
+ z2 = new Complex64( 3.0, 0.0 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), 2.0, 'returns expected value' );
+ t.strictEqual( isPositiveZerof( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( 0.0, 6.0 );
+ z2 = new Complex64( 0.0, 3.0 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), 2.0, 'returns expected value' );
+ t.strictEqual( isPositiveZerof( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( 6.0, 0.0 );
+ z2 = new Complex64( 0.0, 3.0 );
+ v = div( z1, z2 );
+ t.strictEqual( isPositiveZerof( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( imagf( v ), -2.0, 'returns expected value' );
+
+ z1 = new Complex64( 5.0, 3.0 );
+ z2 = new Complex64( 0.0, 2.0 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), 1.5, 'returns expected value' );
+ t.strictEqual( imagf( v ), -2.5, 'returns expected value' );
+
+ z1 = new Complex64( 5.0, 3.0 );
+ z2 = new Complex64( -2.0, 1.0 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), f32( -1.4 ), 'returns expected value' );
+ t.strictEqual( imagf( v ), f32( -2.2 ), 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports gradual underflow (subnormal results)', opts, function test( t ) {
+ var z1;
+ var z2;
+ var v;
+
+ z1 = new Complex64( 1.0e-38, 1.0e-38 );
+ z2 = new Complex64( 3.0, 4.0 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), f32( 2.8e-39 ), 'returns expected value' );
+ t.strictEqual( imagf( v ), f32( -4.0e-40 ), 'returns expected value' );
+
+ z1 = new Complex64( 1.1754944e-38, 0.0 );
+ z2 = new Complex64( 1.0, 1.0 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), f32( 5.877472e-39 ), 'returns expected value' );
+ t.strictEqual( imagf( v ), f32( -5.877472e-39 ), 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function may overflow during complex division', opts, function test( t ) {
+ var z1;
+ var z2;
+ var v;
+
+ z1 = new Complex64( 1.0e38, 1.0e38 );
+ z2 = new Complex64( 5.0e-45, 5.0e-45 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), PINF, 'returns expected value' );
+ t.strictEqual( isPositiveZerof( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( 1.0e38, 1.0e38 );
+ z2 = new Complex64( -5.0e-45, 5.0e-45 );
+ v = div( z1, z2 );
+ t.strictEqual( isPositiveZerof( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( imagf( v ), NINF, 'returns expected value' );
+
+ z1 = new Complex64( 1.0e38, -1.0e38 );
+ z2 = new Complex64( 5.0e-45, 5.0e-45 );
+ v = div( z1, z2 );
+ t.strictEqual( isPositiveZerof( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( imagf( v ), NINF, 'returns expected value' );
+
+ z1 = new Complex64( -1.0e38, 1.0e38 );
+ z2 = new Complex64( 5.0e-45, 5.0e-45 );
+ v = div( z1, z2 );
+ t.strictEqual( isPositiveZerof( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( imagf( v ), PINF, 'returns expected value' );
+
+ z1 = new Complex64( -1.0e38, -1.0e38 );
+ z2 = new Complex64( 5.0e-45, -5.0e-45 );
+ v = div( z1, z2 );
+ t.strictEqual( isPositiveZerof( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( imagf( v ), NINF, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns signed zeros when dividing a finite complex number by an infinite complex number', opts, function test( t ) {
+ var z1;
+ var z2;
+ var v;
+
+ z1 = new Complex64( 5.0, 3.0 );
+ z2 = new Complex64( PINF, 1.0 );
+ v = div( z1, z2 );
+ t.strictEqual( isPositiveZerof( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isNegativeZerof( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( 5.0, 3.0 );
+ z2 = new Complex64( NINF, 1.0 );
+ v = div( z1, z2 );
+ t.strictEqual( isNegativeZerof( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isNegativeZerof( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( -5.0, 3.0 );
+ z2 = new Complex64( 1.0, PINF );
+ v = div( z1, z2 );
+ t.strictEqual( isNegativeZerof( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isNegativeZerof( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( -5.0, -3.0 );
+ z2 = new Complex64( PINF, 1.0 );
+ v = div( z1, z2 );
+ t.strictEqual( isNegativeZerof( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isPositiveZerof( imagf( v ) ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns `NaN` components when dividing a non-finite complex number by an infinite complex number', opts, function test( t ) {
+ var z1;
+ var z2;
+ var v;
+
+ z1 = new Complex64( PINF, 1.0 );
+ z2 = new Complex64( PINF, 1.0 );
+ v = div( z1, z2 );
+ t.strictEqual( isnanf( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isnanf( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( NaN, 1.0 );
+ z2 = new Complex64( 1.0, PINF );
+ v = div( z1, z2 );
+ t.strictEqual( isnanf( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isnanf( imagf( v ) ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns `NaN` components when dividing by complex zero', opts, function test( t ) {
+ var z1;
+ var z2;
+ var v;
+
+ z1 = new Complex64( 1.0, 2.0 );
+ z2 = new Complex64( 0.0, 0.0 );
+ v = div( z1, z2 );
+ t.strictEqual( isnanf( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isnanf( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( 0.0, 0.0 );
+ z2 = new Complex64( 0.0, 0.0 );
+ v = div( z1, z2 );
+ t.strictEqual( isnanf( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isnanf( imagf( v ) ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns non-finite components when dividing an infinite complex number by a finite complex number', opts, function test( t ) {
+ var z1;
+ var z2;
+ var v;
+
+ z1 = new Complex64( PINF, 2.0 );
+ z2 = new Complex64( 1.0, 1.0 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), PINF, 'returns expected value' );
+ t.strictEqual( imagf( v ), NINF, 'returns expected value' );
+
+ z1 = new Complex64( 0.0, PINF );
+ z2 = new Complex64( 1.0, 1.0 );
+ v = div( z1, z2 );
+ t.strictEqual( realf( v ), PINF, 'returns expected value' );
+ t.strictEqual( imagf( v ), PINF, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if a real or imaginary component is `NaN`, all components are `NaN`', opts, function test( t ) {
+ var z1;
+ var z2;
+ var v;
+
+ z1 = new Complex64( NaN, 3.0 );
+ z2 = new Complex64( -2.0, 1.0 );
+ v = div( z1, z2 );
+ t.strictEqual( isnanf( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isnanf( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( 5.0, NaN );
+ z2 = new Complex64( -2.0, 1.0 );
+ v = div( z1, z2 );
+ t.strictEqual( isnanf( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isnanf( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( 5.0, 3.0 );
+ z2 = new Complex64( NaN, 1.0 );
+ v = div( z1, z2 );
+ t.strictEqual( isnanf( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isnanf( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( 5.0, 3.0 );
+ z2 = new Complex64( -2.0, NaN );
+ v = div( z1, z2 );
+ t.strictEqual( isnanf( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isnanf( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( 5.0, 3.0 );
+ z2 = new Complex64( NaN, NaN );
+ v = div( z1, z2 );
+ t.strictEqual( isnanf( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isnanf( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( NaN, NaN );
+ z2 = new Complex64( -2.0, 1.0 );
+ v = div( z1, z2 );
+ t.strictEqual( isnanf( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isnanf( imagf( v ) ), true, 'returns expected value' );
+
+ z1 = new Complex64( NaN, NaN );
+ z2 = new Complex64( NaN, NaN );
+ v = div( z1, z2 );
+ t.strictEqual( isnanf( realf( v ) ), true, 'returns expected value' );
+ t.strictEqual( isnanf( imagf( v ) ), true, 'returns expected value' );
+
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/complex/float32/base/div/test/test.strided.js b/lib/node_modules/@stdlib/complex/float32/base/div/test/test.strided.js
new file mode 100644
index 000000000000..9e2e428762e2
--- /dev/null
+++ b/lib/node_modules/@stdlib/complex/float32/base/div/test/test.strided.js
@@ -0,0 +1,569 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var isSameFloat32Array = require( '@stdlib/assert/is-same-float32array' );
+var Float32Array = require( '@stdlib/array/float32' );
+var div = require( './../lib/strided.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 div, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function divides two complex numbers', function test( t ) {
+ var expected;
+ var out;
+ var z1;
+ var z2;
+ var v;
+
+ z1 = new Float32Array( [ -13.0, -1.0 ] );
+ z2 = new Float32Array( [ -2.0, 1.0 ] );
+ out = new Float32Array( 2 );
+ v = div( z1, 1, 0, z2, 1, 0, out, 1, 0 );
+
+ expected = new Float32Array( [ 5.0, 3.0 ] );
+
+ t.strictEqual( v, out, 'returns expected value' );
+ t.strictEqual( isSameFloat32Array( out, expected ), true, 'returns expected value' );
+
+ z1 = new Float32Array( [ -13.0, 0.0, -1.0, 0.0 ] );
+ z2 = new Float32Array( [ -2.0, 1.0 ] );
+ out = new Float32Array( 4 );
+ v = div( z1, 2, 0, z2, 1, 0, out, 2, 0 );
+
+ expected = new Float32Array( [ 5.0, 0.0, 3.0, 0.0 ] );
+
+ t.strictEqual( v, out, 'returns expected value' );
+ t.strictEqual( isSameFloat32Array( out, expected ), true, 'returns expected value' );
+
+ z1 = new Float32Array( [ -13.0, -1.0 ] );
+ z2 = new Float32Array( [ 0.0, -2.0, 0.0, 1.0 ] );
+ out = new Float32Array( 4 );
+ v = div( z1, 1, 0, z2, 2, 1, out, 2, 1 );
+
+ expected = new Float32Array( [ 0.0, 5.0, 0.0, 3.0 ] );
+
+ t.strictEqual( v, out, 'returns expected value' );
+ t.strictEqual( isSameFloat32Array( out, expected ), true, 'returns expected value' );
+
+ z1 = new Float32Array( [ -1.0, -13.0 ] );
+ z2 = new Float32Array( [ 1.0, -2.0 ] );
+ out = new Float32Array( 4 );
+ v = div( z1, -1, 1, z2, -1, 1, out, -2, 3 );
+
+ expected = new Float32Array( [ 0.0, 3.0, 0.0, 5.0 ] );
+
+ t.strictEqual( v, out, 'returns expected value' );
+ t.strictEqual( isSameFloat32Array( out, expected ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tested against fixtures)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var out;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ // Note: fixture values were generated using Julia, whose `Complex{Float32}` division implements the same algorithm, and results are thus expected to be identical (here and in subsequent fixture tests).
+ re1 = data.re1;
+ im1 = data.im1;
+ re2 = data.re2;
+ im2 = data.im2;
+ qre = new Float32Array( data.qre );
+ qim = new Float32Array( data.qim );
+ out = new Float32Array( 2 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Float32Array( [ re1[ i ], im1[ i ] ] );
+ z2 = new Float32Array( [ re2[ i ], im2[ i ] ] );
+ q = div( z1, 1, 0, z2, 1, 0, out, 1, 0 );
+ t.strictEqual( q[ 0 ], qre[ i ], 'returns expected value' );
+ t.strictEqual( q[ 1 ], qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (different component scales)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var out;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = componentScales1.re1;
+ im1 = componentScales1.im1;
+ re2 = componentScales1.re2;
+ im2 = componentScales1.im2;
+ qre = new Float32Array( componentScales1.qre );
+ qim = new Float32Array( componentScales1.qim );
+ out = new Float32Array( 2 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Float32Array( [ re1[ i ], im1[ i ] ] );
+ z2 = new Float32Array( [ re2[ i ], im2[ i ] ] );
+ q = div( z1, 1, 0, z2, 1, 0, out, 1, 0 );
+ t.strictEqual( q[ 0 ], qre[ i ], 'returns expected value' );
+ t.strictEqual( q[ 1 ], qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (different component scales)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var out;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = componentScales2.re1;
+ im1 = componentScales2.im1;
+ re2 = componentScales2.re2;
+ im2 = componentScales2.im2;
+ qre = new Float32Array( componentScales2.qre );
+ qim = new Float32Array( componentScales2.qim );
+ out = new Float32Array( 2 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Float32Array( [ re1[ i ], im1[ i ] ] );
+ z2 = new Float32Array( [ re2[ i ], im2[ i ] ] );
+ q = div( z1, 1, 0, z2, 1, 0, out, 1, 0 );
+ t.strictEqual( q[ 0 ], qre[ i ], 'returns expected value' );
+ t.strictEqual( q[ 1 ], qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (different imaginary component scales)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var out;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = imaginaryComponentScales.re1;
+ im1 = imaginaryComponentScales.im1;
+ re2 = imaginaryComponentScales.re2;
+ im2 = imaginaryComponentScales.im2;
+ qre = new Float32Array( imaginaryComponentScales.qre );
+ qim = new Float32Array( imaginaryComponentScales.qim );
+ out = new Float32Array( 2 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Float32Array( [ re1[ i ], im1[ i ] ] );
+ z2 = new Float32Array( [ re2[ i ], im2[ i ] ] );
+ q = div( z1, 1, 0, z2, 1, 0, out, 1, 0 );
+ t.strictEqual( q[ 0 ], qre[ i ], 'returns expected value' );
+ t.strictEqual( q[ 1 ], qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (different real component scales)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var out;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = realComponentScales.re1;
+ im1 = realComponentScales.im1;
+ re2 = realComponentScales.re2;
+ im2 = realComponentScales.im2;
+ qre = new Float32Array( realComponentScales.qre );
+ qim = new Float32Array( realComponentScales.qim );
+ out = new Float32Array( 2 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Float32Array( [ re1[ i ], im1[ i ] ] );
+ z2 = new Float32Array( [ re2[ i ], im2[ i ] ] );
+ q = div( z1, 1, 0, z2, 1, 0, out, 1, 0 );
+ t.strictEqual( q[ 0 ], qre[ i ], 'returns expected value' );
+ t.strictEqual( q[ 1 ], qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (large negative imaginary components)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var out;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = largeNegativeImaginaryComponents.re1;
+ im1 = largeNegativeImaginaryComponents.im1;
+ re2 = largeNegativeImaginaryComponents.re2;
+ im2 = largeNegativeImaginaryComponents.im2;
+ qre = new Float32Array( largeNegativeImaginaryComponents.qre );
+ qim = new Float32Array( largeNegativeImaginaryComponents.qim );
+ out = new Float32Array( 2 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Float32Array( [ re1[ i ], im1[ i ] ] );
+ z2 = new Float32Array( [ re2[ i ], im2[ i ] ] );
+ q = div( z1, 1, 0, z2, 1, 0, out, 1, 0 );
+ t.strictEqual( q[ 0 ], qre[ i ], 'returns expected value' );
+ t.strictEqual( q[ 1 ], qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (large negative real components)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var out;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = largeNegativeRealComponents.re1;
+ im1 = largeNegativeRealComponents.im1;
+ re2 = largeNegativeRealComponents.re2;
+ im2 = largeNegativeRealComponents.im2;
+ qre = new Float32Array( largeNegativeRealComponents.qre );
+ qim = new Float32Array( largeNegativeRealComponents.qim );
+ out = new Float32Array( 2 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Float32Array( [ re1[ i ], im1[ i ] ] );
+ z2 = new Float32Array( [ re2[ i ], im2[ i ] ] );
+ q = div( z1, 1, 0, z2, 1, 0, out, 1, 0 );
+ t.strictEqual( q[ 0 ], qre[ i ], 'returns expected value' );
+ t.strictEqual( q[ 1 ], qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (large positive imaginary components)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var out;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = largePositiveImaginaryComponents.re1;
+ im1 = largePositiveImaginaryComponents.im1;
+ re2 = largePositiveImaginaryComponents.re2;
+ im2 = largePositiveImaginaryComponents.im2;
+ qre = new Float32Array( largePositiveImaginaryComponents.qre );
+ qim = new Float32Array( largePositiveImaginaryComponents.qim );
+ out = new Float32Array( 2 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Float32Array( [ re1[ i ], im1[ i ] ] );
+ z2 = new Float32Array( [ re2[ i ], im2[ i ] ] );
+ q = div( z1, 1, 0, z2, 1, 0, out, 1, 0 );
+ t.strictEqual( q[ 0 ], qre[ i ], 'returns expected value' );
+ t.strictEqual( q[ 1 ], qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (large positive real components)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var out;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = largePositiveRealComponents.re1;
+ im1 = largePositiveRealComponents.im1;
+ re2 = largePositiveRealComponents.re2;
+ im2 = largePositiveRealComponents.im2;
+ qre = new Float32Array( largePositiveRealComponents.qre );
+ qim = new Float32Array( largePositiveRealComponents.qim );
+ out = new Float32Array( 2 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Float32Array( [ re1[ i ], im1[ i ] ] );
+ z2 = new Float32Array( [ re2[ i ], im2[ i ] ] );
+ q = div( z1, 1, 0, z2, 1, 0, out, 1, 0 );
+ t.strictEqual( q[ 0 ], qre[ i ], 'returns expected value' );
+ t.strictEqual( q[ 1 ], qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tiny negative imaginary components)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var out;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = tinyNegativeImaginaryComponents.re1;
+ im1 = tinyNegativeImaginaryComponents.im1;
+ re2 = tinyNegativeImaginaryComponents.re2;
+ im2 = tinyNegativeImaginaryComponents.im2;
+ qre = new Float32Array( tinyNegativeImaginaryComponents.qre );
+ qim = new Float32Array( tinyNegativeImaginaryComponents.qim );
+ out = new Float32Array( 2 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Float32Array( [ re1[ i ], im1[ i ] ] );
+ z2 = new Float32Array( [ re2[ i ], im2[ i ] ] );
+ q = div( z1, 1, 0, z2, 1, 0, out, 1, 0 );
+ t.strictEqual( q[ 0 ], qre[ i ], 'returns expected value' );
+ t.strictEqual( q[ 1 ], qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tiny negative real components)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var out;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = tinyNegativeRealComponents.re1;
+ im1 = tinyNegativeRealComponents.im1;
+ re2 = tinyNegativeRealComponents.re2;
+ im2 = tinyNegativeRealComponents.im2;
+ qre = new Float32Array( tinyNegativeRealComponents.qre );
+ qim = new Float32Array( tinyNegativeRealComponents.qim );
+ out = new Float32Array( 2 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Float32Array( [ re1[ i ], im1[ i ] ] );
+ z2 = new Float32Array( [ re2[ i ], im2[ i ] ] );
+ q = div( z1, 1, 0, z2, 1, 0, out, 1, 0 );
+ t.strictEqual( q[ 0 ], qre[ i ], 'returns expected value' );
+ t.strictEqual( q[ 1 ], qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tiny positive imaginary components)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var out;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = tinyPositiveImaginaryComponents.re1;
+ im1 = tinyPositiveImaginaryComponents.im1;
+ re2 = tinyPositiveImaginaryComponents.re2;
+ im2 = tinyPositiveImaginaryComponents.im2;
+ qre = new Float32Array( tinyPositiveImaginaryComponents.qre );
+ qim = new Float32Array( tinyPositiveImaginaryComponents.qim );
+ out = new Float32Array( 2 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Float32Array( [ re1[ i ], im1[ i ] ] );
+ z2 = new Float32Array( [ re2[ i ], im2[ i ] ] );
+ q = div( z1, 1, 0, z2, 1, 0, out, 1, 0 );
+ t.strictEqual( q[ 0 ], qre[ i ], 'returns expected value' );
+ t.strictEqual( q[ 1 ], qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function computes a complex quotient (tiny positive real components)', function test( t ) {
+ var re1;
+ var im1;
+ var re2;
+ var im2;
+ var qre;
+ var qim;
+ var out;
+ var z1;
+ var z2;
+ var i;
+ var q;
+
+ re1 = tinyPositiveRealComponents.re1;
+ im1 = tinyPositiveRealComponents.im1;
+ re2 = tinyPositiveRealComponents.re2;
+ im2 = tinyPositiveRealComponents.im2;
+ qre = new Float32Array( tinyPositiveRealComponents.qre );
+ qim = new Float32Array( tinyPositiveRealComponents.qim );
+ out = new Float32Array( 2 );
+
+ for ( i = 0; i < re1.length; i++ ) {
+ z1 = new Float32Array( [ re1[ i ], im1[ i ] ] );
+ z2 = new Float32Array( [ re2[ i ], im2[ i ] ] );
+ q = div( z1, 1, 0, z2, 1, 0, out, 1, 0 );
+ t.strictEqual( q[ 0 ], qre[ i ], 'returns expected value' );
+ t.strictEqual( q[ 1 ], qim[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function supports operating on overlapping arrays', function test( t ) {
+ var expected;
+ var z;
+ var v;
+
+ z = new Float32Array( [ -13.0, -1.0, -2.0, 1.0 ] );
+ v = div( z, 1, 0, z, 1, 2, z, 1, 0 );
+
+ expected = new Float32Array( [ 5.0, 3.0, -2.0, 1.0 ] );
+
+ t.strictEqual( v, z, 'returns expected value' );
+ t.strictEqual( isSameFloat32Array( z, expected ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if a real or imaginary component is `NaN`, all components are `NaN`', function test( t ) {
+ var out;
+ var z1;
+ var z2;
+ var v;
+
+ out = new Float32Array( 2 );
+ z1 = new Float32Array( [ NaN, 3.0 ] );
+ z2 = new Float32Array( [ -2.0, 1.0 ] );
+ v = div( z1, 1, 0, z2, 1, 0, out, 1, 0 );
+ t.strictEqual( isnanf( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isnanf( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ z1 = new Float32Array( [ 5.0, NaN ] );
+ z2 = new Float32Array( [ -2.0, 1.0 ] );
+ v = div( z1, 1, 0, z2, 1, 0, out, 1, 0 );
+ t.strictEqual( isnanf( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isnanf( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ z1 = new Float32Array( [ 5.0, 3.0 ] );
+ z2 = new Float32Array( [ NaN, 1.0 ] );
+ v = div( z1, 1, 0, z2, 1, 0, out, 1, 0 );
+ t.strictEqual( isnanf( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isnanf( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ z1 = new Float32Array( [ 5.0, 3.0 ] );
+ z2 = new Float32Array( [ -2.0, NaN ] );
+ v = div( z1, 1, 0, z2, 1, 0, out, 1, 0 );
+ t.strictEqual( isnanf( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isnanf( v[ 1 ] ), true, 'returns expected value' );
+
+ out = new Float32Array( 2 );
+ z1 = new Float32Array( [ NaN, NaN ] );
+ z2 = new Float32Array( [ NaN, NaN ] );
+ v = div( z1, 1, 0, z2, 1, 0, out, 1, 0 );
+ t.strictEqual( isnanf( v[ 0 ] ), true, 'returns expected value' );
+ t.strictEqual( isnanf( v[ 1 ] ), true, 'returns expected value' );
+
+ t.end();
+});