diff --git a/lib/node_modules/@stdlib/ndarray/base/map/README.md b/lib/node_modules/@stdlib/ndarray/base/map/README.md
new file mode 100644
index 00000000000..6e7b4756708
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/README.md
@@ -0,0 +1,185 @@
+
+
+# map
+
+> Apply a callback function to elements in an input ndarray and assign results to elements in an output ndarray.
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var map = require( '@stdlib/ndarray/base/map' );
+```
+
+#### map( arrays, fcn\[, thisArg] )
+
+Applies a callback function to elements in an input ndarray and assigns results to elements in an output ndarray.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+function scale( x ) {
+ return x * 10.0;
+}
+
+// Create data buffers:
+var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+var ybuf = new Float64Array( 6 );
+
+// Define the shape of the input and output arrays:
+var shape = [ 3, 2 ];
+
+// Define the array strides:
+var sx = [ 2, 1 ];
+var sy = [ 2, 1 ];
+
+// Define the index offsets:
+var ox = 0;
+var oy = 0;
+
+// Create the input and output ndarray-like objects:
+var x = {
+ 'ref': null,
+ 'dtype': 'float64',
+ 'data': xbuf,
+ 'shape': shape,
+ 'strides': sx,
+ 'offset': ox,
+ 'order': 'row-major'
+};
+var y = {
+ 'dtype': 'float64',
+ 'data': ybuf,
+ 'shape': shape,
+ 'strides': sy,
+ 'offset': oy,
+ 'order': 'row-major'
+};
+
+// Apply the map function:
+map( [ x, y ], scale );
+
+console.log( y.data );
+// => [ 10.0, 20.0, 30.0, 40.0, 50.0, 60.0 ]
+```
+
+The function accepts the following arguments:
+
+- **arrays**: array-like object containing one input ndarray and one output ndarray.
+- **fcn**: callback to apply.
+- **thisArg**: callback execution context.
+
+The callback function is provided the following arguments:
+
+- **values**: current array element.
+- **indices**: current array element indices.
+- **arr**: the input ndarray.
+
+
+
+
+
+
+
+## Notes
+
+- Each provided ndarray should be an object with the following properties:
+
+ - **dtype**: data type.
+ - **data**: data buffer.
+ - **shape**: dimensions.
+ - **strides**: stride lengths.
+ - **offset**: index offset.
+ - **order**: specifies whether an ndarray is row-major (C-style) or column major (Fortran-style).
+
+- For very high-dimensional ndarrays which are non-contiguous, one should consider copying the underlying data to contiguous memory before applying a callback function in order to achieve better performance.
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var abs = require( '@stdlib/math/base/special/abs' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var naryFunction = require( '@stdlib/utils/nary-function' );
+var map = require( '@stdlib/ndarray/base/map' );
+
+var N = 10;
+var x = {
+ 'dtype': 'generic',
+ 'data': filledarrayBy( N, 'generic', discreteUniform( -100, 100 ) ),
+ 'shape': [ 5, 2 ],
+ 'strides': [ 2, 1 ],
+ 'offset': 0,
+ 'order': 'row-major'
+};
+var y = {
+ 'dtype': 'generic',
+ 'data': filledarray( 0, N, 'generic' ),
+ 'shape': x.shape.slice(),
+ 'strides': shape2strides( x.shape, 'column-major' ),
+ 'offset': 0,
+ 'order': 'column-major'
+};
+
+map( [ x, y ], naryFunction( abs, 1 ) );
+console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
+console.log( ndarray2array( y.data, y.shape, y.strides, y.offset, y.order ) );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.10d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.10d_blocked_columnmajor.js
new file mode 100644
index 00000000000..5254f4af56b
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.10d_blocked_columnmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/10d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1, 1, 1, 1, 1, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/10.0 ) );
+ sh = [ len, len, len, len, len, len, len, len, len, len ];
+ len *= pow( len, 9 );
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.10d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.10d_blocked_rowmajor.js
new file mode 100644
index 00000000000..6c74edc0951
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.10d_blocked_rowmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/10d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1, 1, 1, 1, 1, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/10.0 ) );
+ sh = [ len, len, len, len, len, len, len, len, len, len ];
+ len *= pow( len, 9 );
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.10d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.10d_columnmajor.js
new file mode 100644
index 00000000000..8863899cc39
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.10d_columnmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/10d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1, 1, 1, 1, 1, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/10.0 ) );
+ sh = [ len, len, len, len, len, len, len, len, len, len ];
+ len *= pow( len, 9 );
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.10d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.10d_rowmajor.js
new file mode 100644
index 00000000000..174fb970fe6
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.10d_rowmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/10d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1, 1, 1, 1, 1, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/10.0 ) );
+ sh = [ len, len, len, len, len, len, len, len, len, len ];
+ len *= pow( len, 9 );
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.11d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.11d_columnmajor.js
new file mode 100644
index 00000000000..37e645fec89
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.11d_columnmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/nd.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/11.0 ) );
+ sh = [ len, len, len, len, len, len, len, len, len, len, len ];
+ len *= pow( len, 10 );
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.11d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.11d_rowmajor.js
new file mode 100644
index 00000000000..56c04b5afdb
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.11d_rowmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/nd.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/11.0 ) );
+ sh = [ len, len, len, len, len, len, len, len, len, len, len ];
+ len *= pow( len, 10 );
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.1d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.1d_columnmajor.js
new file mode 100644
index 00000000000..336faa72480
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.1d_columnmajor.js
@@ -0,0 +1,141 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( [ x, y ], identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.1d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.1d_rowmajor.js
new file mode 100644
index 00000000000..83d883821da
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.1d_rowmajor.js
@@ -0,0 +1,141 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( [ x, y ], identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.2d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.2d_blocked_columnmajor.js
new file mode 100644
index 00000000000..1b38444dd47
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.2d_blocked_columnmajor.js
@@ -0,0 +1,153 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/2d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( sqrt( len ) );
+ sh = [ len, len ];
+ len *= len;
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.2d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.2d_blocked_rowmajor.js
new file mode 100644
index 00000000000..d19342a553e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.2d_blocked_rowmajor.js
@@ -0,0 +1,153 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/2d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( sqrt( len ) );
+ sh = [ len, len ];
+ len *= len;
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.2d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.2d_columnmajor.js
new file mode 100644
index 00000000000..fd9e7018968
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.2d_columnmajor.js
@@ -0,0 +1,153 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/2d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( sqrt( len ) );
+ sh = [ len, len ];
+ len *= len;
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.2d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.2d_rowmajor.js
new file mode 100644
index 00000000000..d010fed652a
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.2d_rowmajor.js
@@ -0,0 +1,154 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/2d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( sqrt( len ) );
+ sh = [ len, len ];
+ len *= len;
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.2d_rowmajor_accessors.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.2d_rowmajor_accessors.js
new file mode 100644
index 00000000000..1acd3ac4e5c
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.2d_rowmajor_accessors.js
@@ -0,0 +1,181 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/2d_accessors.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Returns an array data buffer element.
+*
+* @private
+* @param {Collection} buf - data buffer
+* @param {NonNegativeInteger} idx - element index
+* @returns {*} element
+*/
+function get( buf, idx ) {
+ return buf[ idx ];
+}
+
+/**
+* Sets an array data buffer element.
+*
+* @private
+* @param {Collection} buf - data buffer
+* @param {NonNegativeInteger} idx - element index
+* @param {*} value - value to set
+*/
+function set( buf, idx, value ) {
+ buf[ idx ] = value;
+}
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order,
+ 'accessorProtocol': true,
+ 'accessors': [ get, set ]
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order,
+ 'accessorProtocol': true,
+ 'accessors': [ get, set ]
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::accessors:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::accessors:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( sqrt( len ) );
+ sh = [ len, len ];
+ len *= len;
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::accessors:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.2d_rowmajor_accessors_complex.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.2d_rowmajor_accessors_complex.js
new file mode 100644
index 00000000000..9e97bc60ba3
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.2d_rowmajor_accessors_complex.js
@@ -0,0 +1,188 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var ctors = require( '@stdlib/array/typed-complex-ctors' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/2d_accessors.js' );
+
+
+// VARIABLES //
+
+var types = [ 'complex64' ];
+var order = 'row-major';
+var abtype = {
+ 'complex64': 'float32',
+ 'complex128': 'float64'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Returns an array data buffer element.
+*
+* @private
+* @param {Collection} buf - data buffer
+* @param {NonNegativeInteger} idx - element index
+* @returns {*} element
+*/
+function get( buf, idx ) {
+ return buf.get( idx );
+}
+
+/**
+* Sets an array data buffer element.
+*
+* @private
+* @param {Collection} buf - data buffer
+* @param {NonNegativeInteger} idx - element index
+* @param {*} value - value to set
+*/
+function set( buf, idx, value ) {
+ buf.set( value, idx );
+}
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var xbuf;
+ var ybuf;
+ var x;
+ var y;
+ var i;
+
+ xbuf = filledarray( 0.0, len*2, abtype[ xtype ] );
+ ybuf = filledarray( 0.0, len*2, abtype[ ytype ] );
+ for ( i = 0; i < len*2; i++ ) {
+ xbuf[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': new ( ctors( xtype ) )( xbuf.buffer ),
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order,
+ 'accessorProtocol': true,
+ 'accessors': [ get, set ]
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': new ( ctors( ytype ) )( ybuf.buffer ),
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order,
+ 'accessorProtocol': true,
+ 'accessors': [ get, set ]
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( ybuf[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( ybuf[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 5; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::accessors:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::accessors:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( sqrt( len ) );
+ sh = [ len, len ];
+ len *= len;
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::accessors:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.3d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.3d_blocked_columnmajor.js
new file mode 100644
index 00000000000..2d070ce935c
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.3d_blocked_columnmajor.js
@@ -0,0 +1,153 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var cbrt = require( '@stdlib/math/base/special/cbrt' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/3d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( cbrt( len ) );
+ sh = [ len, len, len ];
+ len *= len * len;
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.3d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.3d_blocked_rowmajor.js
new file mode 100644
index 00000000000..22a40229989
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.3d_blocked_rowmajor.js
@@ -0,0 +1,153 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var cbrt = require( '@stdlib/math/base/special/cbrt' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/3d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( cbrt( len ) );
+ sh = [ len, len, len ];
+ len *= len * len;
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.3d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.3d_columnmajor.js
new file mode 100644
index 00000000000..3d91055d718
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.3d_columnmajor.js
@@ -0,0 +1,153 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var cbrt = require( '@stdlib/math/base/special/cbrt' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/3d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( cbrt( len ) );
+ sh = [ len, len, len ];
+ len *= len * len;
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.3d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.3d_rowmajor.js
new file mode 100644
index 00000000000..475a410c6fc
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.3d_rowmajor.js
@@ -0,0 +1,153 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var cbrt = require( '@stdlib/math/base/special/cbrt' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/3d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( cbrt( len ) );
+ sh = [ len, len, len ];
+ len *= len * len;
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.4d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.4d_blocked_columnmajor.js
new file mode 100644
index 00000000000..28a42189385
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.4d_blocked_columnmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/4d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/4.0 ) );
+ sh = [ len, len, len, len ];
+ len *= len * len * len;
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.4d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.4d_blocked_rowmajor.js
new file mode 100644
index 00000000000..61d87ce84d8
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.4d_blocked_rowmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/4d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/4.0 ) );
+ sh = [ len, len, len, len ];
+ len *= len * len * len;
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.4d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.4d_columnmajor.js
new file mode 100644
index 00000000000..803b6449dcf
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.4d_columnmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/4d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/4.0 ) );
+ sh = [ len, len, len, len ];
+ len *= len * len * len;
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.4d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.4d_rowmajor.js
new file mode 100644
index 00000000000..4177b6b08d0
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.4d_rowmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/4d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/4.0 ) );
+ sh = [ len, len, len, len ];
+ len *= len * len * len;
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.5d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.5d_blocked_columnmajor.js
new file mode 100644
index 00000000000..536977cd2ad
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.5d_blocked_columnmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/5d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/5.0 ) );
+ sh = [ len, len, len, len, len ];
+ len *= pow( len, 4 );
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.5d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.5d_blocked_rowmajor.js
new file mode 100644
index 00000000000..01b04389e4f
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.5d_blocked_rowmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/5d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/5.0 ) );
+ sh = [ len, len, len, len, len ];
+ len *= pow( len, 4 );
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.5d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.5d_columnmajor.js
new file mode 100644
index 00000000000..79c7e1fd5c8
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.5d_columnmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/5d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/5.0 ) );
+ sh = [ len, len, len, len, len ];
+ len *= pow( len, 4 );
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.5d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.5d_rowmajor.js
new file mode 100644
index 00000000000..a9b435a3fac
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.5d_rowmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/5d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/5.0 ) );
+ sh = [ len, len, len, len, len ];
+ len *= pow( len, 4 );
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.6d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.6d_blocked_columnmajor.js
new file mode 100644
index 00000000000..4eb971db0ac
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.6d_blocked_columnmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/6d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/6.0 ) );
+ sh = [ len, len, len, len, len, len ];
+ len *= pow( len, 5 );
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.6d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.6d_blocked_rowmajor.js
new file mode 100644
index 00000000000..9bc64c15eab
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.6d_blocked_rowmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/6d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/6.0 ) );
+ sh = [ len, len, len, len, len, len ];
+ len *= pow( len, 5 );
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.6d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.6d_columnmajor.js
new file mode 100644
index 00000000000..190c6457444
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.6d_columnmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/6d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/6.0 ) );
+ sh = [ len, len, len, len, len, len ];
+ len *= pow( len, 5 );
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.6d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.6d_rowmajor.js
new file mode 100644
index 00000000000..654d7235b6e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.6d_rowmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/6d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/6.0 ) );
+ sh = [ len, len, len, len, len, len ];
+ len *= pow( len, 5 );
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.7d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.7d_blocked_columnmajor.js
new file mode 100644
index 00000000000..4c08a286eed
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.7d_blocked_columnmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/7d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1, 1, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 1, 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/7.0 ) );
+ sh = [ len, len, len, len, len, len, len ];
+ len *= pow( len, 6 );
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.7d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.7d_blocked_rowmajor.js
new file mode 100644
index 00000000000..d6a35ead854
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.7d_blocked_rowmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/7d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1, 1, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 1, 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/7.0 ) );
+ sh = [ len, len, len, len, len, len, len ];
+ len *= pow( len, 6 );
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.7d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.7d_columnmajor.js
new file mode 100644
index 00000000000..81f6e0f1458
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.7d_columnmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/7d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1, 1, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 1, 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/7.0 ) );
+ sh = [ len, len, len, len, len, len, len ];
+ len *= pow( len, 6 );
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.7d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.7d_rowmajor.js
new file mode 100644
index 00000000000..91c55f64b0a
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.7d_rowmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/7d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1, 1, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 1, 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/7.0 ) );
+ sh = [ len, len, len, len, len, len, len ];
+ len *= pow( len, 6 );
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.8d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.8d_blocked_columnmajor.js
new file mode 100644
index 00000000000..a3bb41e2cb4
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.8d_blocked_columnmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/8d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1, 1, 1, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 1, 1, 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/8.0 ) );
+ sh = [ len, len, len, len, len, len, len, len ];
+ len *= pow( len, 7 );
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.8d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.8d_blocked_rowmajor.js
new file mode 100644
index 00000000000..f94c8317a3d
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.8d_blocked_rowmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/8d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1, 1, 1, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 1, 1, 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/8.0 ) );
+ sh = [ len, len, len, len, len, len, len, len ];
+ len *= pow( len, 7 );
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.8d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.8d_columnmajor.js
new file mode 100644
index 00000000000..8ba63cd977e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.8d_columnmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/8d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1, 1, 1, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 1, 1, 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/8.0 ) );
+ sh = [ len, len, len, len, len, len, len, len ];
+ len *= pow( len, 7 );
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.8d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.8d_rowmajor.js
new file mode 100644
index 00000000000..45ee88156f0
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.8d_rowmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/8d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1, 1, 1, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 1, 1, 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/8.0 ) );
+ sh = [ len, len, len, len, len, len, len, len ];
+ len *= pow( len, 7 );
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.9d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.9d_blocked_columnmajor.js
new file mode 100644
index 00000000000..988a4b40aae
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.9d_blocked_columnmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/9d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1, 1, 1, 1, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/9.0 ) );
+ sh = [ len, len, len, len, len, len, len, len, len ];
+ len *= pow( len, 8 );
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.9d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.9d_blocked_rowmajor.js
new file mode 100644
index 00000000000..f4ef14e480b
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.9d_blocked_rowmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/9d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1, 1, 1, 1, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/9.0 ) );
+ sh = [ len, len, len, len, len, len, len, len, len ];
+ len *= pow( len, 8 );
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.9d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.9d_columnmajor.js
new file mode 100644
index 00000000000..30a346bf8ab
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.9d_columnmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/9d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1, 1, 1, 1, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/9.0 ) );
+ sh = [ len, len, len, len, len, len, len, len, len ];
+ len *= pow( len, 8 );
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.9d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.9d_rowmajor.js
new file mode 100644
index 00000000000..f1b361e1bb9
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/benchmark/benchmark.9d_rowmajor.js
@@ -0,0 +1,152 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var round = require( '@stdlib/math/base/special/round' );
+var identity = require( '@stdlib/math/base/special/identity' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var map = require( './../lib/9d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+ var x;
+ var y;
+ var i;
+
+ x = filledarray( 0.0, len, xtype );
+ y = filledarray( 0.0, len, ytype );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = round( ( randu()*200.0 ) - 100.0 );
+ }
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ y = {
+ 'dtype': ytype,
+ 'data': y,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ map( x, y, identity );
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var sh;
+ var t1;
+ var t2;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ t2 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1, 1, 1, 1, 1, 1, 1 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ sh = [ 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+
+ len = floor( pow( len, 1.0/9.0 ) );
+ sh = [ len, len, len, len, len, len, len, len, len ];
+ len *= pow( len, 8 );
+ f = createBenchmark( len, sh, t1, t2 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',yorder='+order+',xtype='+t1+',ytype='+t2, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/map/docs/repl.txt
new file mode 100644
index 00000000000..be30da1771b
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/docs/repl.txt
@@ -0,0 +1,78 @@
+
+{{alias}}( arrays, fcn[, thisArg] )
+ Applies a callback function to elements in an input ndarray and assigns
+ results to elements in an output ndarray.
+
+ Each provided "ndarray" should be an object with following properties:
+
+ - dtype: data type.
+ - data: data buffer.
+ - shape: dimensions.
+ - strides: stride lengths.
+ - offset: index offset.
+ - order: specifies whether an ndarray is row-major (C-style) or column-major
+ (Fortran-style).
+
+ The callback function is provided the following arguments:
+
+ - value: current array element.
+ - indices: current array element indices.
+ - arr: the input ndarray.
+
+ Parameters
+ ----------
+ arrays: ArrayLikeObject
+ Array-like object containing one input ndarray and one output ndarray.
+
+ fcn: Function
+ Callback function.
+
+ thisArg: any (optional)
+ Callback function execution context.
+
+ Examples
+ --------
+ // Define ndarray data and meta data...
+ > var xbuf = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
+ > var ybuf = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0, 0.0, 0.0 ] );
+ > var dtype = 'float64';
+ > var shape = [ 2, 2 ];
+ > var sx = [ 2, 1 ];
+ > var sy = [ 2, 1 ];
+ > var ox = 0;
+ > var oy = 0;
+ > var order = 'row-major';
+
+ // Define a callback function:
+ > function f( v ) { return v*10.0; };
+
+ // Using ndarrays...
+ > var x = {{alias:@stdlib/ndarray/ctor}}( dtype, xbuf, shape, sx, ox, order );
+ > var y = {{alias:@stdlib/ndarray/ctor}}( dtype, ybuf, shape, sy, oy, order );
+ > {{alias}}( [ x, y ], f );
+ > y.data
+ [ 10.0, 20.0, 30.0, 40.0 ]
+
+ // Using minimal ndarray-like objects...
+ > x = {
+ ... 'dtype': dtype,
+ ... 'data': xbuf,
+ ... 'shape': shape,
+ ... 'strides': sx,
+ ... 'offset': ox,
+ ... 'order': order
+ ... };
+ > y = {
+ ... 'dtype': dtype,
+ ... 'data': ybuf,
+ ... 'shape': shape,
+ ... 'strides': sy,
+ ... 'offset': oy,
+ ... 'order': order
+ ... };
+ > {{alias}}( [ x, y ], f );
+ > y.data
+ [ 10.0, 20.0, 30.0, 40.0 ]
+
+ See Also
+ --------
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/base/map/docs/types/index.d.ts
new file mode 100644
index 00000000000..61ce2f33026
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/docs/types/index.d.ts
@@ -0,0 +1,117 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 { ArrayLike } from '@stdlib/types/array';
+import { typedndarray } from '@stdlib/types/ndarray';
+
+/**
+* Callback invoked for each ndarray element.
+*
+* @returns output value
+*/
+type Nullary = ( this: V ) => U;
+
+/**
+* Callback invoked for each ndarray element.
+*
+* @param value - current array element
+* @returns output value
+*/
+type Unary = ( this: V, value: T ) => U;
+
+/**
+* Callback invoked for each ndarray element.
+*
+* @param value - current array element
+* @param indices - current array element indices
+* @returns output value
+*/
+type Binary = ( this: V, value: T, indices: Array ) => U;
+
+/**
+* Callback invoked for each ndarray element.
+*
+* @param value - current array element
+* @param indices - current array element indices
+* @param arr - input array
+* @returns output value
+*/
+type Ternary = ( this: V, value: T, indices: Array, arr: typedndarray ) => U;
+
+/**
+* Callback invoked for each ndarray element.
+*
+* @param value - current array element
+* @param indices - current array element indices
+* @param arr - input array
+* @returns output value
+*/
+type Callback = Nullary | Unary | Binary | Ternary;
+
+/**
+* Applies a callback function to the elements in an input ndarray and assigns results to the elements in an output ndarray.
+*
+* @param arrays - array-like object containing one input ndarray and one output ndarray
+* @param fcn - callback function
+* @param thisArg - callback function execution context
+* @throws arrays must have the same number of dimensions
+* @throws arrays must have the same shape
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+*
+* function scale( x ) {
+* return x * 10.0;
+* }
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 1 ];
+* var sy = [ 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 1;
+* var oy = 0;
+*
+* // Create the input and output ndarrays:
+* var x = ndarray( 'float64', xbuf, shape, sx, ox, 'row-major' );
+* var y = ndarray( 'float64', ybuf, shape, sy, oy, 'row-major' );
+*
+* // Apply the map function:
+* map( [ x, y ], scale );
+*
+* console.log( y.data );
+* // => [ 20.0, 30.0, 60.0, 70.0, 100.0, 110.0 ]
+*/
+declare function map( arrays: ArrayLike>, fcn: Callback, thisArg?: ThisParameterType> ): void;
+
+
+// EXPORTS //
+
+export = map;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/docs/types/test.ts b/lib/node_modules/@stdlib/ndarray/base/map/docs/types/test.ts
new file mode 100644
index 00000000000..7bc28dd409b
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/docs/types/test.ts
@@ -0,0 +1,128 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 { ndarray } from '@stdlib/types/ndarray';
+import map = require( './index' );
+
+/**
+* Mock function to create an ndarray-like object.
+*
+* @return ndarray-like object
+*/
+function array(): ndarray {
+ const obj: ndarray = {
+ 'byteLength': 80,
+ 'BYTES_PER_ELEMENT': 8,
+ 'data': new Float64Array( 10 ),
+ 'dtype': 'float64',
+ 'flags': {
+ 'ROW_MAJOR_CONTIGUOUS': true,
+ 'COLUMN_MAJOR_CONTIGUOUS': false
+ },
+ 'length': 10,
+ 'ndims': 1,
+ 'offset': 0,
+ 'order': 'row-major',
+ 'shape': [ 10 ],
+ 'strides': [ 1 ],
+ 'get': (): number => 0,
+ 'set': (): ndarray => obj
+ };
+ return obj;
+}
+
+/**
+* Evaluates the identity function.
+*
+* @param x - input value
+* @returns input value
+*/
+function identity( x: number ): number {
+ return x;
+}
+
+// TESTS //
+
+// The function returns `undefined`...
+{
+ const x = array();
+ const y = array();
+ const arrays = [ x, y ];
+
+ map( arrays, identity ); // $ExpectType void
+ map( arrays, identity, {} ); // $ExpectType void
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array-like object containing ndarray-like objects...
+{
+ map( 5, identity ); // $ExpectError
+ map( true, identity ); // $ExpectError
+ map( false, identity ); // $ExpectError
+ map( null, identity ); // $ExpectError
+ map( undefined, identity ); // $ExpectError
+ map( {}, identity ); // $ExpectError
+ map( [ 1 ], identity ); // $ExpectError
+ map( ( x: number ): number => x, identity ); // $ExpectError
+
+ map( 5, identity, {} ); // $ExpectError
+ map( true, identity, {} ); // $ExpectError
+ map( false, identity, {} ); // $ExpectError
+ map( null, identity, {} ); // $ExpectError
+ map( undefined, identity, {} ); // $ExpectError
+ map( {}, identity, {} ); // $ExpectError
+ map( [ 1 ], identity, {} ); // $ExpectError
+ map( ( x: number ): number => x, identity, {} ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a callback function...
+{
+ const x = array();
+ const y = array();
+ const arrays = [ x, y ];
+
+ map( arrays, '10' ); // $ExpectError
+ map( arrays, 5 ); // $ExpectError
+ map( arrays, true ); // $ExpectError
+ map( arrays, false ); // $ExpectError
+ map( arrays, null ); // $ExpectError
+ map( arrays, undefined ); // $ExpectError
+ map( arrays, [] ); // $ExpectError
+ map( arrays, {} ); // $ExpectError
+
+ map( arrays, '10', {} ); // $ExpectError
+ map( arrays, 5, {} ); // $ExpectError
+ map( arrays, true, {} ); // $ExpectError
+ map( arrays, false, {} ); // $ExpectError
+ map( arrays, null, {} ); // $ExpectError
+ map( arrays, undefined, {} ); // $ExpectError
+ map( arrays, [], {} ); // $ExpectError
+ map( arrays, {}, {} ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const x = array();
+ const y = array();
+ const arrays = [ x, y ];
+
+ map(); // $ExpectError
+ map( arrays ); // $ExpectError{
+ map( arrays, identity, {}, {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/examples/index.js b/lib/node_modules/@stdlib/ndarray/base/map/examples/index.js
new file mode 100644
index 00000000000..50d380f8a8b
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/examples/index.js
@@ -0,0 +1,50 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var abs = require( '@stdlib/math/base/special/abs' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var naryFunction = require( '@stdlib/utils/nary-function' );
+var map = require( './../lib' );
+
+var N = 10;
+var x = {
+ 'dtype': 'generic',
+ 'data': filledarrayBy( N, 'generic', discreteUniform( -100, 100 ) ),
+ 'shape': [ 5, 2 ],
+ 'strides': [ 2, 1 ],
+ 'offset': 0,
+ 'order': 'row-major'
+};
+var y = {
+ 'dtype': 'generic',
+ 'data': filledarray( 0, N, 'generic' ),
+ 'shape': x.shape.slice(),
+ 'strides': shape2strides( x.shape, 'column-major' ),
+ 'offset': 0,
+ 'order': 'column-major'
+};
+
+map( [ x, y ], naryFunction( abs, 1 ) );
+console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
+console.log( ndarray2array( y.data, y.shape, y.strides, y.offset, y.order ) );
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/0d.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/0d.js
new file mode 100644
index 00000000000..ed427bbc6be
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/0d.js
@@ -0,0 +1,100 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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';
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a zero-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* function scale( z ){
+* return z * 10.0;
+* }
+*
+* // Create a data buffers:
+* var xbuf = new Float64Array( [ 1.0, 2.0 ] );
+* var ybuf = new Float64Array( 1 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 0 ];
+*
+* // Define the index offset:
+* var ox = 1;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like object:
+* var x = {
+* 'ref': null,
+* 'dtype': 'float64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major'
+* };
+* var y = {
+* 'dtype': 'float64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major'
+* }
+*
+* // Apply the map function:
+* map0d( x, y, scale, {} );
+*
+* console.log( y.data );
+* // => [ 20.0 ]
+*/
+function map0d( x, y, fcn, thisArg ) {
+ y.data[ y.offset ] = fcn.call( thisArg, x.data[ x.offset ], [], x.ref );
+}
+
+
+// EXPORTS //
+
+module.exports = map0d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/0d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/0d_accessors.js
new file mode 100644
index 00000000000..46c039e1636
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/0d_accessors.js
@@ -0,0 +1,121 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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';
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a zero-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array} x.accessors - data buffer accessors
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array} y.accessors - data buffer accessors
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* function scale( z ) {
+* return new Complex64( realf(z)*10.0, imagf(z)*10.0 );
+* }
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var ybuf = new Complex64Array( 2 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 0 ];
+*
+* // Define the index offsets:
+* var ox = 1;
+* var oy = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+* return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+* buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'complex64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+* var y = {
+* 'dtype': 'complex64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+*
+* // Apply the map function:
+* map0d( x, y, scale, {} );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 30.0
+*
+* var im = imagf( v );
+* // returns 40.0
+*/
+function map0d( x, y, fcn, thisArg ) {
+ y.accessors[ 1 ]( y.data, y.offset, fcn.call( thisArg, x.accessors[ 0 ]( x.data, x.offset ), [], x.ref ) ); // eslint-disable-line max-len
+}
+
+
+// EXPORTS //
+
+module.exports = map0d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/10d.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/10d.js
new file mode 100644
index 00000000000..33c44ecdab6
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/10d.js
@@ -0,0 +1,280 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 max-depth */
+
+'use strict';
+
+// MODULES //
+
+var zeroTo = require( '@stdlib/array/base/zero-to' );
+var reverse = require( '@stdlib/array/base/reverse' );
+var take = require( '@stdlib/array/base/take-indexed' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a ten-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* function scale( z ) {
+* return z * 10.0;
+* }
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 12, 12, 12, 12, 12, 12, 4, 4, 1 ];
+* var sy = [ 6, 6, 6, 6, 6, 6, 6, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 1;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'float64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major'
+* };
+* var y = {
+* 'dtype': 'float64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major'
+* };
+*
+* // Apply the map function:
+* map10d( x, y, scale, {} );
+*
+* console.log( y.data );
+* // => [ 20.0, 30.0, 60.0, 70.0, 100.0, 110.0 ]
+*/
+function map10d( x, y, fcn, thisArg ) { // eslint-disable-line max-statements
+ var xbuf;
+ var ybuf;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dx3;
+ var dx4;
+ var dx5;
+ var dx6;
+ var dx7;
+ var dx8;
+ var dx9;
+ var dy0;
+ var dy1;
+ var dy2;
+ var dy3;
+ var dy4;
+ var dy5;
+ var dy6;
+ var dy7;
+ var dy8;
+ var dy9;
+ var idx;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var S3;
+ var S4;
+ var S5;
+ var S6;
+ var S7;
+ var S8;
+ var S9;
+ var sx;
+ var sy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var i3;
+ var i4;
+ var i5;
+ var i6;
+ var i7;
+ var i8;
+ var i9;
+
+ // Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+ sh = x.shape;
+ sx = x.strides;
+ sy = y.strides;
+ idx = zeroTo( sh.length );
+ if ( x.order === 'row-major' ) {
+ // For row-major ndarrays, the last dimensions have the fastest changing indices...
+ S0 = sh[ 9 ];
+ S1 = sh[ 8 ];
+ S2 = sh[ 7 ];
+ S3 = sh[ 6 ];
+ S4 = sh[ 5 ];
+ S5 = sh[ 4 ];
+ S6 = sh[ 3 ];
+ S7 = sh[ 2 ];
+ S8 = sh[ 1 ];
+ S9 = sh[ 0 ];
+ dx0 = sx[ 9 ]; // offset increment for innermost loop
+ dx1 = sx[ 8 ] - ( S0*sx[9] );
+ dx2 = sx[ 7 ] - ( S1*sx[8] );
+ dx3 = sx[ 6 ] - ( S2*sx[7] );
+ dx4 = sx[ 5 ] - ( S3*sx[6] );
+ dx5 = sx[ 4 ] - ( S4*sx[5] );
+ dx6 = sx[ 3 ] - ( S5*sx[4] );
+ dx7 = sx[ 2 ] - ( S6*sx[3] );
+ dx8 = sx[ 1 ] - ( S7*sx[2] );
+ dx9 = sx[ 0 ] - ( S8*sx[1] ); // offset increment for outermost loop
+ dy0 = sy[ 9 ];
+ dy1 = sy[ 8 ] - ( S0*sy[9] );
+ dy2 = sy[ 7 ] - ( S1*sy[8] );
+ dy3 = sy[ 6 ] - ( S2*sy[7] );
+ dy4 = sy[ 5 ] - ( S3*sy[6] );
+ dy5 = sy[ 4 ] - ( S4*sy[5] );
+ dy6 = sy[ 3 ] - ( S5*sy[4] );
+ dy7 = sy[ 2 ] - ( S6*sy[3] );
+ dy8 = sy[ 1 ] - ( S7*sy[2] );
+ dy9 = sy[ 0 ] - ( S8*sy[1] );
+ } else { // order === 'column-major'
+ // For column-major ndarrays, the first dimensions have the fastest changing indices...
+ S0 = sh[ 0 ];
+ S1 = sh[ 1 ];
+ S2 = sh[ 2 ];
+ S3 = sh[ 3 ];
+ S4 = sh[ 4 ];
+ S5 = sh[ 5 ];
+ S6 = sh[ 6 ];
+ S7 = sh[ 7 ];
+ S8 = sh[ 8 ];
+ S9 = sh[ 9 ];
+ dx0 = sx[ 0 ]; // offset increment for innermost loop
+ dx1 = sx[ 1 ] - ( S0*sx[0] );
+ dx2 = sx[ 2 ] - ( S1*sx[1] );
+ dx3 = sx[ 3 ] - ( S2*sx[2] );
+ dx4 = sx[ 4 ] - ( S3*sx[3] );
+ dx5 = sx[ 5 ] - ( S4*sx[4] );
+ dx6 = sx[ 6 ] - ( S5*sx[5] );
+ dx7 = sx[ 7 ] - ( S6*sx[6] );
+ dx8 = sx[ 8 ] - ( S7*sx[7] );
+ dx9 = sx[ 9 ] - ( S8*sx[8] ); // offset increment for outermost loop
+ dy0 = sy[ 0 ];
+ dy1 = sy[ 1 ] - ( S0*sy[0] );
+ dy2 = sy[ 2 ] - ( S1*sy[1] );
+ dy3 = sy[ 3 ] - ( S2*sy[2] );
+ dy4 = sy[ 4 ] - ( S3*sy[3] );
+ dy5 = sy[ 5 ] - ( S4*sy[4] );
+ dy6 = sy[ 6 ] - ( S5*sy[5] );
+ dy7 = sy[ 7 ] - ( S6*sy[6] );
+ dy8 = sy[ 8 ] - ( S7*sy[7] );
+ dy9 = sy[ 9 ] - ( S8*sy[8] );
+ idx = reverse( idx );
+ }
+ // Set the pointers to the first indexed elements in the respective ndarrays...
+ ix = x.offset;
+ iy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Iterate over the ndarray dimensions...
+ for ( i9 = 0; i9 < S9; i9++ ) {
+ for ( i8 = 0; i8 < S8; i8++ ) {
+ for ( i7 = 0; i7 < S7; i7++ ) {
+ for ( i6 = 0; i6 < S6; i6++ ) {
+ for ( i5 = 0; i5 < S5; i5++ ) {
+ for ( i4 = 0; i4 < S4; i4++ ) {
+ for ( i3 = 0; i3 < S3; i3++ ) {
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ ybuf[ iy ] = fcn.call( thisArg, xbuf[ ix ], take( [ i9, i8, i7, i6, i5, i4, i3, i2, i1, i0 ], idx ), x.ref ); // eslint-disable-line max-len
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ ix += dx3;
+ iy += dy3;
+ }
+ ix += dx4;
+ iy += dy4;
+ }
+ ix += dx5;
+ iy += dy5;
+ }
+ ix += dx6;
+ iy += dy6;
+ }
+ ix += dx7;
+ iy += dy7;
+ }
+ ix += dx8;
+ iy += dy8;
+ }
+ ix += dx9;
+ iy += dy9;
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = map10d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/10d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/10d_accessors.js
new file mode 100644
index 00000000000..35e94869f0c
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/10d_accessors.js
@@ -0,0 +1,305 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 max-depth */
+
+'use strict';
+
+// MODULES //
+
+var zeroTo = require( '@stdlib/array/base/zero-to' );
+var reverse = require( '@stdlib/array/base/reverse' );
+var take = require( '@stdlib/array/base/take-indexed' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a ten-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* function scale( z ) {
+* return new Complex64( realf(z)*10.0, imagf(z)*10.0 );
+* }
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 4, 4, 4, 4, 4, 4, 2, 1 ];
+* var sy = [ 4, 4, 4, 4, 4, 4, 4, 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+* return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+* buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'complex64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+* var y = {
+* 'dtype': 'complex64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+*
+* // Apply the map function:
+* map10d( x, y, scale, {} );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 10.0
+*
+* var im = imagf( v );
+* // returns 20.0
+*/
+function map10d( x, y, fcn, thisArg ) { // eslint-disable-line max-statements
+ var xbuf;
+ var ybuf;
+ var get;
+ var set;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dx3;
+ var dx4;
+ var dx5;
+ var dx6;
+ var dx7;
+ var dx8;
+ var dx9;
+ var dy0;
+ var dy1;
+ var dy2;
+ var dy3;
+ var dy4;
+ var dy5;
+ var dy6;
+ var dy7;
+ var dy8;
+ var dy9;
+ var idx;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var S3;
+ var S4;
+ var S5;
+ var S6;
+ var S7;
+ var S8;
+ var S9;
+ var sx;
+ var sy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var i3;
+ var i4;
+ var i5;
+ var i6;
+ var i7;
+ var i8;
+ var i9;
+
+ // Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+ sh = x.shape;
+ sx = x.strides;
+ sy = y.strides;
+ idx = zeroTo( sh.length );
+ if ( x.order === 'row-major' ) {
+ // For row-major ndarrays, the last dimensions have the fastest changing indices...
+ S0 = sh[ 9 ];
+ S1 = sh[ 8 ];
+ S2 = sh[ 7 ];
+ S3 = sh[ 6 ];
+ S4 = sh[ 5 ];
+ S5 = sh[ 4 ];
+ S6 = sh[ 3 ];
+ S7 = sh[ 2 ];
+ S8 = sh[ 1 ];
+ S9 = sh[ 0 ];
+ dx0 = sx[ 9 ]; // offset increment for innermost loop
+ dx1 = sx[ 8 ] - ( S0*sx[9] );
+ dx2 = sx[ 7 ] - ( S1*sx[8] );
+ dx3 = sx[ 6 ] - ( S2*sx[7] );
+ dx4 = sx[ 5 ] - ( S3*sx[6] );
+ dx5 = sx[ 4 ] - ( S4*sx[5] );
+ dx6 = sx[ 3 ] - ( S5*sx[4] );
+ dx7 = sx[ 2 ] - ( S6*sx[3] );
+ dx8 = sx[ 1 ] - ( S7*sx[2] );
+ dx9 = sx[ 0 ] - ( S8*sx[1] ); // offset increment for outermost loop
+ dy0 = sy[ 9 ];
+ dy1 = sy[ 8 ] - ( S0*sy[9] );
+ dy2 = sy[ 7 ] - ( S1*sy[8] );
+ dy3 = sy[ 6 ] - ( S2*sy[7] );
+ dy4 = sy[ 5 ] - ( S3*sy[6] );
+ dy5 = sy[ 4 ] - ( S4*sy[5] );
+ dy6 = sy[ 3 ] - ( S5*sy[4] );
+ dy7 = sy[ 2 ] - ( S6*sy[3] );
+ dy8 = sy[ 1 ] - ( S7*sy[2] );
+ dy9 = sy[ 0 ] - ( S8*sy[1] );
+ } else { // order === 'column-major'
+ // For column-major ndarrays, the first dimensions have the fastest changing indices...
+ S0 = sh[ 0 ];
+ S1 = sh[ 1 ];
+ S2 = sh[ 2 ];
+ S3 = sh[ 3 ];
+ S4 = sh[ 4 ];
+ S5 = sh[ 5 ];
+ S6 = sh[ 6 ];
+ S7 = sh[ 7 ];
+ S8 = sh[ 8 ];
+ S9 = sh[ 9 ];
+ dx0 = sx[ 0 ]; // offset increment for innermost loop
+ dx1 = sx[ 1 ] - ( S0*sx[0] );
+ dx2 = sx[ 2 ] - ( S1*sx[1] );
+ dx3 = sx[ 3 ] - ( S2*sx[2] );
+ dx4 = sx[ 4 ] - ( S3*sx[3] );
+ dx5 = sx[ 5 ] - ( S4*sx[4] );
+ dx6 = sx[ 6 ] - ( S5*sx[5] );
+ dx7 = sx[ 7 ] - ( S6*sx[6] );
+ dx8 = sx[ 8 ] - ( S7*sx[7] );
+ dx9 = sx[ 9 ] - ( S8*sx[8] ); // offset increment for outermost loop
+ dy0 = sy[ 0 ];
+ dy1 = sy[ 1 ] - ( S0*sy[0] );
+ dy2 = sy[ 2 ] - ( S1*sy[1] );
+ dy3 = sy[ 3 ] - ( S2*sy[2] );
+ dy4 = sy[ 4 ] - ( S3*sy[3] );
+ dy5 = sy[ 5 ] - ( S4*sy[4] );
+ dy6 = sy[ 6 ] - ( S5*sy[5] );
+ dy7 = sy[ 7 ] - ( S6*sy[6] );
+ dy8 = sy[ 8 ] - ( S7*sy[7] );
+ dy9 = sy[ 9 ] - ( S8*sy[8] );
+ idx = reverse( idx );
+ }
+ // Set the pointers to the first indexed elements in the respective ndarrays...
+ ix = x.offset;
+ iy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Cache accessors:
+ get = x.accessors[ 0 ];
+ set = y.accessors[ 1 ];
+
+ // Iterate over the ndarray dimensions...
+ for ( i9 = 0; i9 < S9; i9++ ) {
+ for ( i8 = 0; i8 < S8; i8++ ) {
+ for ( i7 = 0; i7 < S7; i7++ ) {
+ for ( i6 = 0; i6 < S6; i6++ ) {
+ for ( i5 = 0; i5 < S5; i5++ ) {
+ for ( i4 = 0; i4 < S4; i4++ ) {
+ for ( i3 = 0; i3 < S3; i3++ ) {
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ set( ybuf, iy, fcn.call( thisArg, get( xbuf, ix ), take( [ i9, i8, i7, i6, i5, i4, i3, i2, i1, i0 ], idx ), x.ref ) ); // eslint-disable-line max-len
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ ix += dx3;
+ iy += dy3;
+ }
+ ix += dx4;
+ iy += dy4;
+ }
+ ix += dx5;
+ iy += dy5;
+ }
+ ix += dx6;
+ iy += dy6;
+ }
+ ix += dx7;
+ iy += dy7;
+ }
+ ix += dx8;
+ iy += dy8;
+ }
+ ix += dx9;
+ iy += dy9;
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = map10d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/10d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/10d_blocked.js
new file mode 100644
index 00000000000..a76eeed4121
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/10d_blocked.js
@@ -0,0 +1,389 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 max-depth, max-len */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/unary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/unary-tiling-block-size' );
+var take = require( '@stdlib/array/base/take-indexed' );
+var reverse = require( '@stdlib/array/base/reverse' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a ten-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray via loop blocking.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* function scale( z ) {
+* return z * 10.0;
+* }
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 12, 12, 12, 12, 12, 12, 4, 4, 1 ];
+* var sy = [ 6, 6, 6, 6, 6, 6, 6, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 1;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'float64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major'
+* };
+* var y = {
+* 'dtype': 'float64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major'
+* };
+*
+* // Apply the map function:
+* blockedmap10d( x, y, scale, {} );
+*
+* console.log( y.data );
+* // => [ 20.0, 30.0, 60.0, 70.0, 100.0, 110.0 ]
+*/
+function blockedmap10d( x, y, fcn, thisArg ) { // eslint-disable-line max-statements, max-lines-per-function
+ var bsize;
+ var xbuf;
+ var ybuf;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dx3;
+ var dx4;
+ var dx5;
+ var dx6;
+ var dx7;
+ var dx8;
+ var dx9;
+ var dy0;
+ var dy1;
+ var dy2;
+ var dy3;
+ var dy4;
+ var dy5;
+ var dy6;
+ var dy7;
+ var dy8;
+ var dy9;
+ var ox1;
+ var ox2;
+ var ox3;
+ var ox4;
+ var ox5;
+ var ox6;
+ var ox7;
+ var ox8;
+ var ox9;
+ var oy1;
+ var oy2;
+ var oy3;
+ var oy4;
+ var oy5;
+ var oy6;
+ var oy7;
+ var oy8;
+ var oy9;
+ var idx;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var S3;
+ var S4;
+ var S5;
+ var S6;
+ var S7;
+ var S8;
+ var S9;
+ var sx;
+ var sy;
+ var ox;
+ var oy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var i3;
+ var i4;
+ var i5;
+ var i6;
+ var i7;
+ var i8;
+ var i9;
+ var j0;
+ var j1;
+ var j2;
+ var j3;
+ var j4;
+ var j5;
+ var j6;
+ var j7;
+ var j8;
+ var j9;
+ var o;
+
+ // Note on variable naming convention: s#, dx#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Resolve the loop interchange order:
+ o = loopOrder( x.shape, x.strides, y.strides );
+ sh = o.sh;
+ sx = o.sx;
+ sy = o.sy;
+ idx = reverse( o.idx );
+
+ // Determine the block size:
+ bsize = blockSize( x.dtype, y.dtype );
+
+ // Cache the indices of the first indexed elements in the respective ndarrays...
+ ox = x.offset;
+ oy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Cache offset increments for the innermost loop...
+ dx0 = sx[0];
+ dy0 = sy[0];
+
+ // Iterate over blocks...
+ for ( j9 = sh[9]; j9 > 0; ) {
+ if ( j9 < bsize ) {
+ S9 = j9;
+ j9 = 0;
+ } else {
+ S9 = bsize;
+ j9 -= bsize;
+ }
+ ox9 = ox + ( j9*sx[9] );
+ oy9 = oy + ( j9*sy[9] );
+ for ( j8 = sh[8]; j8 > 0; ) {
+ if ( j8 < bsize ) {
+ S8 = j8;
+ j8 = 0;
+ } else {
+ S8 = bsize;
+ j8 -= bsize;
+ }
+ dx9 = sx[9] - ( S8*sx[8] );
+ dy9 = sy[9] - ( S8*sy[8] );
+ ox8 = ox9 + ( j8*sx[8] );
+ oy8 = oy9 + ( j8*sy[8] );
+ for ( j7 = sh[7]; j7 > 0; ) {
+ if ( j7 < bsize ) {
+ S7 = j7;
+ j7 = 0;
+ } else {
+ S7 = bsize;
+ j7 -= bsize;
+ }
+ dx8 = sx[8] - ( S7*sx[7] );
+ dy8 = sy[8] - ( S7*sy[7] );
+ ox7 = ox8 + ( j7*sx[7] );
+ oy7 = oy8 + ( j7*sy[7] );
+ for ( j6 = sh[6]; j6 > 0; ) {
+ if ( j6 < bsize ) {
+ S6 = j6;
+ j6 = 0;
+ } else {
+ S6 = bsize;
+ j6 -= bsize;
+ }
+ dx7 = sx[7] - ( S6*sx[6] );
+ dy7 = sy[7] - ( S6*sy[6] );
+ ox6 = ox7 + ( j6*sx[6] );
+ oy6 = oy7 + ( j6*sy[6] );
+ for ( j5 = sh[5]; j5 > 0; ) {
+ if ( j5 < bsize ) {
+ S5 = j5;
+ j5 = 0;
+ } else {
+ S5 = bsize;
+ j5 -= bsize;
+ }
+ dx6 = sx[6] - ( S5*sx[5] );
+ dy6 = sy[6] - ( S5*sy[5] );
+ ox5 = ox6 + ( j5*sx[5] );
+ oy5 = oy6 + ( j5*sy[5] );
+ for ( j4 = sh[4]; j4 > 0; ) {
+ if ( j4 < bsize ) {
+ S4 = j4;
+ j4 = 0;
+ } else {
+ S4 = bsize;
+ j4 -= bsize;
+ }
+ dx5 = sx[5] - ( S4*sx[4] );
+ dy5 = sy[5] - ( S4*sy[4] );
+ ox4 = ox5 + ( j4*sx[4] );
+ oy4 = oy5 + ( j4*sy[4] );
+ for ( j3 = sh[3]; j3 > 0; ) {
+ if ( j3 < bsize ) {
+ S3 = j3;
+ j3 = 0;
+ } else {
+ S3 = bsize;
+ j3 -= bsize;
+ }
+ dx4 = sx[4] - ( S3*sx[3] );
+ dy4 = sy[4] - ( S3*sy[3] );
+ ox3 = ox4 + ( j3*sx[3] );
+ oy3 = oy4 + ( j3*sy[3] );
+ for ( j2 = sh[2]; j2 > 0; ) {
+ if ( j2 < bsize ) {
+ S2 = j2;
+ j2 = 0;
+ } else {
+ S2 = bsize;
+ j2 -= bsize;
+ }
+ dx3 = sx[3] - ( S2*sx[2] );
+ dy3 = sy[3] - ( S2*sy[2] );
+ ox2 = ox3 + ( j2*sx[2] );
+ oy2 = oy3 + ( j2*sy[2] );
+ for ( j1 = sh[1]; j1 > 0; ) {
+ if ( j1 < bsize ) {
+ S1 = j1;
+ j1 = 0;
+ } else {
+ S1 = bsize;
+ j1 -= bsize;
+ }
+ dx2 = sx[2] - ( S1*sx[1] );
+ dy2 = sy[2] - ( S1*sy[1] );
+ ox1 = ox2 + ( j1*sx[1] );
+ oy1 = oy2 + ( j1*sy[1] );
+ for ( j0 = sh[0]; j0 > 0; ) {
+ if ( j0 < bsize ) {
+ S0 = j0;
+ j0 = 0;
+ } else {
+ S0 = bsize;
+ j0 -= bsize;
+ }
+ // Compute index offsets for the first input and output ndarray elements in the current block...
+ ix = ox1 + ( j0*sx[0] );
+ iy = oy1 + ( j0*sy[0] );
+
+ // Compute loop offset increments...
+ dx1 = sx[1] - ( S0*sx[0] );
+ dy1 = sy[1] - ( S0*sy[0] );
+
+ // Iterate over the ndarray dimensions...
+ for ( i9 = 0; i9 < S9; i9++ ) {
+ for ( i8 = 0; i8 < S8; i8++ ) {
+ for ( i7 = 0; i7 < S7; i7++ ) {
+ for ( i6 = 0; i6 < S6; i6++ ) {
+ for ( i5 = 0; i5 < S5; i5++ ) {
+ for ( i4 = 0; i4 < S4; i4++ ) {
+ for ( i3 = 0; i3 < S3; i3++ ) {
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ ybuf[ iy ] = fcn.call( thisArg, xbuf[ ix ], take( [ i9, i8, i7, i6, i5, i4, i3, i2, i1, i0 ], idx ), x.ref );
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ ix += dx3;
+ iy += dy3;
+ }
+ ix += dx4;
+ iy += dy4;
+ }
+ ix += dx5;
+ iy += dy5;
+ }
+ ix += dx6;
+ iy += dy6;
+ }
+ ix += dx7;
+ iy += dy7;
+ }
+ ix += dx8;
+ iy += dy8;
+ }
+ ix += dx9;
+ iy += dy9;
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = blockedmap10d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/10d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/10d_blocked_accessors.js
new file mode 100644
index 00000000000..b7bbc90176c
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/10d_blocked_accessors.js
@@ -0,0 +1,414 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 max-depth, max-len */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/unary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/unary-tiling-block-size' );
+var take = require( '@stdlib/array/base/take-indexed' );
+var reverse = require( '@stdlib/array/base/reverse' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a ten-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray via loop blocking.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* function scale( z ) {
+* return new Complex64( realf(z)*10.0, imagf(z)*10.0 );
+* }
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 4, 4, 4, 4, 4, 4, 2, 1 ];
+* var sy = [ 4, 4, 4, 4, 4, 4, 4, 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+* return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+* buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'complex64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+* var y = {
+* 'dtype': 'complex64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+*
+* // Apply the map function:
+* blockedmap10d( x, y, scale, {} );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 10.0
+*
+* var im = imagf( v );
+* // returns 20.0
+*/
+function blockedmap10d( x, y, fcn, thisArg ) { // eslint-disable-line max-statements, max-lines-per-function
+ var bsize;
+ var xbuf;
+ var ybuf;
+ var get;
+ var set;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dx3;
+ var dx4;
+ var dx5;
+ var dx6;
+ var dx7;
+ var dx8;
+ var dx9;
+ var dy0;
+ var dy1;
+ var dy2;
+ var dy3;
+ var dy4;
+ var dy5;
+ var dy6;
+ var dy7;
+ var dy8;
+ var dy9;
+ var ox1;
+ var ox2;
+ var ox3;
+ var ox4;
+ var ox5;
+ var ox6;
+ var ox7;
+ var ox8;
+ var ox9;
+ var oy1;
+ var oy2;
+ var oy3;
+ var oy4;
+ var oy5;
+ var oy6;
+ var oy7;
+ var oy8;
+ var oy9;
+ var idx;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var S3;
+ var S4;
+ var S5;
+ var S6;
+ var S7;
+ var S8;
+ var S9;
+ var sx;
+ var sy;
+ var ox;
+ var oy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var i3;
+ var i4;
+ var i5;
+ var i6;
+ var i7;
+ var i8;
+ var i9;
+ var j0;
+ var j1;
+ var j2;
+ var j3;
+ var j4;
+ var j5;
+ var j6;
+ var j7;
+ var j8;
+ var j9;
+ var o;
+
+ // Note on variable naming convention: s#, dx#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Resolve the loop interchange order:
+ o = loopOrder( x.shape, x.strides, y.strides );
+ sh = o.sh;
+ sx = o.sx;
+ sy = o.sy;
+ idx = reverse( o.idx );
+
+ // Determine the block size:
+ bsize = blockSize( x.dtype, y.dtype );
+
+ // Cache the indices of the first indexed elements in the respective ndarrays...
+ ox = x.offset;
+ oy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Cache offset increments for the innermost loop...
+ dx0 = sx[0];
+ dy0 = sy[0];
+
+ // Cache accessors:
+ get = x.accessors[0];
+ set = y.accessors[1];
+
+ // Iterate over blocks...
+ for ( j9 = sh[9]; j9 > 0; ) {
+ if ( j9 < bsize ) {
+ S9 = j9;
+ j9 = 0;
+ } else {
+ S9 = bsize;
+ j9 -= bsize;
+ }
+ ox9 = ox + ( j9*sx[9] );
+ oy9 = oy + ( j9*sy[9] );
+ for ( j8 = sh[8]; j8 > 0; ) {
+ if ( j8 < bsize ) {
+ S8 = j8;
+ j8 = 0;
+ } else {
+ S8 = bsize;
+ j8 -= bsize;
+ }
+ dx9 = sx[9] - ( S8*sx[8] );
+ dy9 = sy[9] - ( S8*sy[8] );
+ ox8 = ox9 + ( j8*sx[8] );
+ oy8 = oy9 + ( j8*sy[8] );
+ for ( j7 = sh[7]; j7 > 0; ) {
+ if ( j7 < bsize ) {
+ S7 = j7;
+ j7 = 0;
+ } else {
+ S7 = bsize;
+ j7 -= bsize;
+ }
+ dx8 = sx[8] - ( S7*sx[7] );
+ dy8 = sy[8] - ( S7*sy[7] );
+ ox7 = ox8 + ( j7*sx[7] );
+ oy7 = oy8 + ( j7*sy[7] );
+ for ( j6 = sh[6]; j6 > 0; ) {
+ if ( j6 < bsize ) {
+ S6 = j6;
+ j6 = 0;
+ } else {
+ S6 = bsize;
+ j6 -= bsize;
+ }
+ dx7 = sx[7] - ( S6*sx[6] );
+ dy7 = sy[7] - ( S6*sy[6] );
+ ox6 = ox7 + ( j6*sx[6] );
+ oy6 = oy7 + ( j6*sy[6] );
+ for ( j5 = sh[5]; j5 > 0; ) {
+ if ( j5 < bsize ) {
+ S5 = j5;
+ j5 = 0;
+ } else {
+ S5 = bsize;
+ j5 -= bsize;
+ }
+ dx6 = sx[6] - ( S5*sx[5] );
+ dy6 = sy[6] - ( S5*sy[5] );
+ ox5 = ox6 + ( j5*sx[5] );
+ oy5 = oy6 + ( j5*sy[5] );
+ for ( j4 = sh[4]; j4 > 0; ) {
+ if ( j4 < bsize ) {
+ S4 = j4;
+ j4 = 0;
+ } else {
+ S4 = bsize;
+ j4 -= bsize;
+ }
+ dx5 = sx[5] - ( S4*sx[4] );
+ dy5 = sy[5] - ( S4*sy[4] );
+ ox4 = ox5 + ( j4*sx[4] );
+ oy4 = oy5 + ( j4*sy[4] );
+ for ( j3 = sh[3]; j3 > 0; ) {
+ if ( j3 < bsize ) {
+ S3 = j3;
+ j3 = 0;
+ } else {
+ S3 = bsize;
+ j3 -= bsize;
+ }
+ dx4 = sx[4] - ( S3*sx[3] );
+ dy4 = sy[4] - ( S3*sy[3] );
+ ox3 = ox4 + ( j3*sx[3] );
+ oy3 = oy4 + ( j3*sy[3] );
+ for ( j2 = sh[2]; j2 > 0; ) {
+ if ( j2 < bsize ) {
+ S2 = j2;
+ j2 = 0;
+ } else {
+ S2 = bsize;
+ j2 -= bsize;
+ }
+ dx3 = sx[3] - ( S2*sx[2] );
+ dy3 = sy[3] - ( S2*sy[2] );
+ ox2 = ox3 + ( j2*sx[2] );
+ oy2 = oy3 + ( j2*sy[2] );
+ for ( j1 = sh[1]; j1 > 0; ) {
+ if ( j1 < bsize ) {
+ S1 = j1;
+ j1 = 0;
+ } else {
+ S1 = bsize;
+ j1 -= bsize;
+ }
+ dx2 = sx[2] - ( S1*sx[1] );
+ dy2 = sy[2] - ( S1*sy[1] );
+ ox1 = ox2 + ( j1*sx[1] );
+ oy1 = oy2 + ( j1*sy[1] );
+ for ( j0 = sh[0]; j0 > 0; ) {
+ if ( j0 < bsize ) {
+ S0 = j0;
+ j0 = 0;
+ } else {
+ S0 = bsize;
+ j0 -= bsize;
+ }
+ // Compute index offsets for the first input and output ndarray elements in the current block...
+ ix = ox1 + ( j0*sx[0] );
+ iy = oy1 + ( j0*sy[0] );
+
+ // Compute loop offset increments...
+ dx1 = sx[1] - ( S0*sx[0] );
+ dy1 = sy[1] - ( S0*sy[0] );
+
+ // Iterate over the ndarray dimensions...
+ for ( i9 = 0; i9 < S9; i9++ ) {
+ for ( i8 = 0; i8 < S8; i8++ ) {
+ for ( i7 = 0; i7 < S7; i7++ ) {
+ for ( i6 = 0; i6 < S6; i6++ ) {
+ for ( i5 = 0; i5 < S5; i5++ ) {
+ for ( i4 = 0; i4 < S4; i4++ ) {
+ for ( i3 = 0; i3 < S3; i3++ ) {
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ set( ybuf, iy, fcn.call( thisArg, get( xbuf, ix ), take( [ i9, i8, i7, i6, i5, i4, i3, i2, i1, i0 ], idx ), x.ref ) );
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ ix += dx3;
+ iy += dy3;
+ }
+ ix += dx4;
+ iy += dy4;
+ }
+ ix += dx5;
+ iy += dy5;
+ }
+ ix += dx6;
+ iy += dy6;
+ }
+ ix += dx7;
+ iy += dy7;
+ }
+ ix += dx8;
+ iy += dy8;
+ }
+ ix += dx9;
+ iy += dy9;
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = blockedmap10d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/1d.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/1d.js
new file mode 100644
index 00000000000..e73a9510a64
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/1d.js
@@ -0,0 +1,129 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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';
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a one-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* function scale( z ) {
+* return z * 10.0;
+* }
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Float64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 4 ];
+*
+* // Define the array strides:
+* var sx = [ 2 ];
+* var sy = [ 1 ];
+*
+* // Define the index offsets:
+* var ox = 1;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'float64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major'
+* };
+* var y = {
+* 'dtype': 'float64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major'
+* };
+*
+* // Apply the map function:
+* map1d( x, y, scale, {} );
+*
+* console.log( y.data );
+* // => [ 20.0, 40.0, 60.0, 80.0 ]
+*/
+function map1d( x, y, fcn, thisArg ) {
+ var xbuf;
+ var ybuf;
+ var dx0;
+ var dy0;
+ var S0;
+ var ix;
+ var iy;
+ var i0;
+
+ // Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Extract loop variables: dimensions and loop offset (pointer) increments...
+ S0 = x.shape[ 0 ];
+ dx0 = x.strides[ 0 ];
+ dy0 = y.strides[ 0 ];
+
+ // Set the pointers to the first indexed elements in the respective ndarrays...
+ ix = x.offset;
+ iy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Iterate over the ndarray dimensions...
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ ybuf[ iy ] = fcn.call( thisArg, xbuf[ ix ], [ i0 ], x.ref );
+ ix += dx0;
+ iy += dy0;
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = map1d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/1d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/1d_accessors.js
new file mode 100644
index 00000000000..55dc3befc57
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/1d_accessors.js
@@ -0,0 +1,154 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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';
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a one-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* function scale( z ) {
+* return new Complex64( realf(z)*10.0, imagf(z)*10.0 );
+* }
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 4 ];
+*
+* // Define the array strides:
+* var sx = [ 1 ];
+* var sy = [ 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+* return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+* buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'complex64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+* var y = {
+* 'dtype': 'complex64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+*
+* // Apply the map function:
+* map1d( x, y, scale, {} );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 10.0
+*
+* var im = imagf( v );
+* // returns 20.0
+*/
+function map1d( x, y, fcn, thisArg ) {
+ var xbuf;
+ var ybuf;
+ var get;
+ var set;
+ var dx0;
+ var dy0;
+ var S0;
+ var ix;
+ var iy;
+ var i0;
+
+ // Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Extract loop variables: dimensions and loop offset (pointer) increments...
+ S0 = x.shape[ 0 ];
+ dx0 = x.strides[ 0 ];
+ dy0 = y.strides[ 0 ];
+
+ // Set the pointers to the first indexed elements in the respective ndarrays...
+ ix = x.offset;
+ iy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Cache accessors:
+ get = x.accessors[ 0 ];
+ set = y.accessors[ 1 ];
+
+ // Iterate over the ndarray dimensions...
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ set( ybuf, iy, fcn.call( thisArg, get( xbuf, ix ), [ i0 ], x.ref ) );
+ ix += dx0;
+ iy += dy0;
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = map1d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/2d.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/2d.js
new file mode 100644
index 00000000000..1ef6dcd0a63
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/2d.js
@@ -0,0 +1,166 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 zeroTo = require( '@stdlib/array/base/zero-to' );
+var reverse = require( '@stdlib/array/base/reverse' );
+var take = require( '@stdlib/array/base/take-indexed' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a two-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* function scale( z ) {
+* return z * 10.0;
+* }
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Float64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 1 ];
+* var sy = [ 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 1;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'float64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major'
+* };
+* var y = {
+* 'dtype': 'float64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major'
+* };
+*
+* // Apply the map function:
+* map2d( x, y, scale, {} );
+*
+* console.log( y.data );
+* // => [ 20.0, 30.0, 60.0, 70.0 ]
+*/
+function map2d( x, y, fcn, thisArg ) {
+ var xbuf;
+ var ybuf;
+ var dx0;
+ var dx1;
+ var dy0;
+ var dy1;
+ var idx;
+ var sh;
+ var S0;
+ var S1;
+ var sx;
+ var sy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+
+ // Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+ sh = x.shape;
+ sx = x.strides;
+ sy = y.strides;
+ idx = zeroTo( sh.length );
+ if ( x.order === 'row-major' ) {
+ // For row-major ndarrays, the last dimensions have the fastest changing indices...
+ S0 = sh[ 1 ];
+ S1 = sh[ 0 ];
+ dx0 = sx[ 1 ]; // offset increment for the outermost loop
+ dx1 = sx[ 0 ] - ( S0*sx[1] ); // offset increment for innermost loop
+ dy0 = sy[ 1 ];
+ dy1 = sy[ 0 ] - ( S0*sy[1] );
+ } else { // order === 'column-major'
+ // For column-major ndarrays, the first dimensions have the fastest changing indices...
+ S0 = sh[ 0 ];
+ S1 = sh[ 1 ];
+ dx0 = sx[ 0 ]; // offset increment for outermost loop
+ dx1 = sx[ 1 ] - ( S0*sx[0] ); // offset increment for innermost loop
+ dy0 = sy[ 0 ];
+ dy1 = sy[ 1 ] - ( S0*sx[0] );
+ idx = reverse( idx );
+ }
+ // Set the pointer to the first indexed elements in the respective ndarrays...
+ ix = x.offset;
+ iy = y.offset;
+
+ // Cache the references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Iterate over the ndarray dimensions...
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ ybuf[ iy ] = fcn.call( thisArg, xbuf[ ix ], take( [ i1, i0 ], idx ), x.ref ); // eslint-disable-line max-len
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = map2d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/2d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/2d_accessors.js
new file mode 100644
index 00000000000..a5f7716f618
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/2d_accessors.js
@@ -0,0 +1,191 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 zeroTo = require( '@stdlib/array/base/zero-to' );
+var reverse = require( '@stdlib/array/base/reverse' );
+var take = require( '@stdlib/array/base/take-indexed' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a two-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* function scale( z ) {
+* return new Complex64( realf(z)*10.0, imagf(z)*10.0 );
+* }
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 2, 1 ];
+* var sy = [ 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+* return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+* buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'complex64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+* var y = {
+* 'dtype': 'complex64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+*
+* // Apply the map function:
+* map2d( x, y, scale, {} );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 10.0
+*
+* var im = imagf( v );
+* // returns 20.0
+*/
+function map2d( x, y, fcn, thisArg ) {
+ var xbuf;
+ var ybuf;
+ var get;
+ var set;
+ var dx0;
+ var dx1;
+ var dy0;
+ var dy1;
+ var idx;
+ var sh;
+ var S0;
+ var S1;
+ var sx;
+ var sy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+
+ // Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+ sh = x.shape;
+ sx = x.strides;
+ sy = y.strides;
+ idx = zeroTo( sh.length );
+ if ( x.order === 'row-major' ) {
+ // For row-major ndarrays, the last dimensions have the fastest changing indices...
+ S0 = sh[ 1 ];
+ S1 = sh[ 0 ];
+ dx0 = sx[ 1 ]; // offset increment for the outermost loop
+ dx1 = sx[ 0 ] - ( S0*sx[1] ); // offset increment for innermost loop
+ dy0 = sy[ 1 ];
+ dy1 = sy[ 0 ] - ( S0*sy[1] );
+ } else { // order === 'column-major'
+ // For column-major ndarrays, the first dimensions have the fastest changing indices...
+ S0 = sh[ 0 ];
+ S1 = sh[ 1 ];
+ dx0 = sx[ 0 ]; // offset increment for outermost loop
+ dx1 = sx[ 1 ] - ( S0*sx[0] ); // offset increment for innermost loop
+ dy0 = sy[ 0 ];
+ dy1 = sy[ 1 ] - ( S0*sx[0] );
+ idx = reverse( idx );
+ }
+ // Set the pointer to the first indexed elements in the respective ndarrays...
+ ix = x.offset;
+ iy = y.offset;
+
+ // Cache the references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Cache accessors:
+ get = x.accessors[ 0 ];
+ set = y.accessors[ 1 ];
+
+ // Iterate over the ndarray dimensions...
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ set( ybuf, iy, fcn.call( thisArg, get( xbuf, ix ), take( [ i1, i0 ], idx ), x.ref ) ); // eslint-disable-line max-len
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = map2d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/2d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/2d_blocked.js
new file mode 100644
index 00000000000..1612ccf136c
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/2d_blocked.js
@@ -0,0 +1,195 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 loopOrder = require( '@stdlib/ndarray/base/unary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/unary-tiling-block-size' );
+var take = require( '@stdlib/array/base/take-indexed' );
+var reverse = require( '@stdlib/array/base/reverse' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a two-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray via loop blocking.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* function scale( z ) {
+* return z * 10.0;
+* }
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Float64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 1 ];
+* var sy = [ 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 1;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'float64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major'
+* };
+* var y = {
+* 'dtype': 'float64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major'
+* };
+*
+* // Apply the map function:
+* blockedmap2d( x, y, scale, {} );
+*
+* console.log( y.data );
+* // => [ 20.0, 30.0, 60.0, 70.0 ]
+*/
+function blockedmap2d( x, y, fcn, thisArg ) {
+ var bsize;
+ var xbuf;
+ var ybuf;
+ var dx0;
+ var dx1;
+ var dy0;
+ var dy1;
+ var ox1;
+ var oy1;
+ var idx;
+ var sh;
+ var s0;
+ var s1;
+ var sx;
+ var sy;
+ var ox;
+ var oy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var j0;
+ var j1;
+ var o;
+
+ // Note on variable naming convention: s#, dx#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Resolve the loop interchange order:
+ o = loopOrder( x.shape, x.strides, y.strides );
+ sh = o.sh;
+ sx = o.sx;
+ sy = o.sy;
+ idx = reverse( o.idx );
+
+ // Determine the block size:
+ bsize = blockSize( x.dtype, y.dtype );
+
+ // Cache the indices of the first indexed elements in the respective ndarrays...
+ ox = x.offset;
+ oy = y.offset;
+
+ // Cache the references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Cache offset increments for the innermost loop...
+ dx0 = sx[0];
+ dy0 = sy[0];
+
+ // Iterate over blocks...
+ for ( j1 = sh[1]; j1 > 0; ) {
+ if ( j1 < bsize ) {
+ s1 = j1;
+ j1 = 0;
+ } else {
+ s1 = bsize;
+ j1 -= bsize;
+ }
+ ox1 = ox + ( j1*sx[1] );
+ oy1 = oy + ( j1*sy[1] );
+ for ( j0 = sh[0]; j0 > 0; ) {
+ if ( j0 < bsize ) {
+ s0 = j0;
+ j0 = 0;
+ } else {
+ s0 = bsize;
+ j0 -= bsize;
+ }
+ // Compute the index offsets for the first input and output ndarray elements in the current block...
+ ix = ox1 + (j0*sx[0]);
+ iy = oy1 + (j0*sy[0]);
+
+ // Compute the loop offset increments...
+ dx1 = sx[1] - (s0*sx[0]);
+ dy1 = sy[1] - (s0*sy[0]);
+
+ // Iterate over the ndarray dimensions...
+ for ( i1 = 0; i1 < s1; i1++ ) {
+ for ( i0 = 0; i0 < s0; i0++ ) {
+ ybuf[ iy ] = fcn.call( thisArg, xbuf[ ix ], take( [ i1, i0 ], idx ), x.ref ); // eslint-disable-line max-len
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ }
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = blockedmap2d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/2d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/2d_blocked_accessors.js
new file mode 100644
index 00000000000..28e743e7911
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/2d_blocked_accessors.js
@@ -0,0 +1,220 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 loopOrder = require( '@stdlib/ndarray/base/unary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/unary-tiling-block-size' );
+var take = require( '@stdlib/array/base/take-indexed' );
+var reverse = require( '@stdlib/array/base/reverse' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a two-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray via loop blocking.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* function scale( z ) {
+* return new Complex64( realf(z)*10.0, imagf(z)*10.0 );
+* }
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 2, 1 ];
+* var sy = [ 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+* return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+* buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'complex64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+* var y = {
+* 'dtype': 'complex64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+*
+* // Apply the map function:
+* blockedmap2d( x, y, scale, {} );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 10.0
+*
+* var im = imagf( v );
+* // returns 20.0
+*/
+function blockedmap2d( x, y, fcn, thisArg ) {
+ var bsize;
+ var xbuf;
+ var ybuf;
+ var dx0;
+ var dx1;
+ var dy0;
+ var dy1;
+ var ox1;
+ var oy1;
+ var idx;
+ var get;
+ var set;
+ var sh;
+ var s0;
+ var s1;
+ var sx;
+ var sy;
+ var ox;
+ var oy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var j0;
+ var j1;
+ var o;
+
+ // Note on variable naming convention: s#, dx#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Resolve the loop interchange order:
+ o = loopOrder( x.shape, x.strides, y.strides );
+ sh = o.sh;
+ sx = o.sx;
+ sy = o.sy;
+ idx = reverse( o.idx );
+
+ // Determine the block size:
+ bsize = blockSize( x.dtype, y.dtype );
+
+ // Cache the indices of the first indexed elements in the respective ndarrays...
+ ox = x.offset;
+ oy = y.offset;
+
+ // Cache the references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Cache offset increments for the innermost loop...
+ dx0 = sx[0];
+ dy0 = sy[0];
+
+ // Iterate over blocks...
+ for ( j1 = sh[1]; j1 > 0; ) {
+ if ( j1 < bsize ) {
+ s1 = j1;
+ j1 = 0;
+ } else {
+ s1 = bsize;
+ j1 -= bsize;
+ }
+ ox1 = ox + ( j1*sx[1] );
+ oy1 = oy + ( j1*sy[1] );
+ for ( j0 = sh[0]; j0 > 0; ) {
+ if ( j0 < bsize ) {
+ s0 = j0;
+ j0 = 0;
+ } else {
+ s0 = bsize;
+ j0 -= bsize;
+ }
+ // Compute the index offsets for the first input and output ndarray elements in the current block...
+ ix = ox1 + (j0*sx[0]);
+ iy = oy1 + (j0*sy[0]);
+
+ // Compute the loop offset increments...
+ dx1 = sx[1] - (s0*sx[0]);
+ dy1 = sy[1] - (s0*sy[0]);
+
+ // Cache accessors:
+ get = x.accessors[0];
+ set = y.accessors[1];
+
+ // Iterate over the ndarray dimensions...
+ for ( i1 = 0; i1 < s1; i1++ ) {
+ for ( i0 = 0; i0 < s0; i0++ ) {
+ set( ybuf, iy, fcn.call( thisArg, get( xbuf, ix ), take( [ i1, i0 ], idx ), x.ref ) ); // eslint-disable-line max-len
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ }
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = blockedmap2d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/3d.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/3d.js
new file mode 100644
index 00000000000..45d810f9afb
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/3d.js
@@ -0,0 +1,180 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 zeroTo = require( '@stdlib/array/base/zero-to' );
+var reverse = require( '@stdlib/array/base/reverse' );
+var take = require( '@stdlib/array/base/take-indexed' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a three-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* function scale( z ) {
+* return z * 10.0;
+* }
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 1 ];
+* var sy = [ 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 1;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'float64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major'
+* };
+* var y = {
+* 'dtype': 'float64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major'
+* };
+*
+* // Apply the map function:
+* map3d( x, y, scale, {} );
+*
+* console.log( y.data );
+* // => [ 20.0, 30.0, 60.0, 70.0, 100.0, 110.0 ]
+*/
+function map3d( x, y, fcn, thisArg ) {
+ var xbuf;
+ var ybuf;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dy0;
+ var dy1;
+ var dy2;
+ var idx;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var sx;
+ var sy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+
+ // Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+ sh = x.shape;
+ sx = x.strides;
+ sy = y.strides;
+ idx = zeroTo( sh.length );
+ if ( x.order === 'row-major' ) {
+ // For row-major ndarrays, the last dimensions have the fastest changing indices...
+ S0 = sh[ 2 ];
+ S1 = sh[ 1 ];
+ S2 = sh[ 0 ];
+ dx0 = sx[ 2 ]; // offset increment for innermost loop
+ dx1 = sx[ 1 ] - ( S0*sx[2] );
+ dx2 = sx[ 0 ] - ( S1*sx[1] ); // offset increment for outermost loop
+ dy0 = sy[ 2 ];
+ dy1 = sy[ 1 ] - ( S0*sy[2] );
+ dy2 = sy[ 0 ] - ( S1*sy[1] );
+ } else { // order === 'column-major'
+ // For column-major ndarrays, the first dimensions have the fastest changing indices...
+ S0 = sh[ 0 ];
+ S1 = sh[ 1 ];
+ S2 = sh[ 2 ];
+ dx0 = sx[ 0 ]; // offset increment for innermost loop
+ dx1 = sx[ 1 ] - ( S0*sx[0] );
+ dx2 = sx[ 2 ] - ( S1*sx[1] ); // offset increment for outermost loop
+ dy0 = sy[ 0 ];
+ dy1 = sy[ 1 ] - ( S0*sy[0] );
+ dy2 = sy[ 2 ] - ( S1*sy[1] );
+ idx = reverse( idx );
+ }
+ // Set the pointers to the first indexed elements in the respective ndarrays...
+ ix = x.offset;
+ iy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Iterate over the ndarray dimensions...
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ ybuf[ iy ] = fcn.call( thisArg, xbuf[ ix ], take( [ i2, i1, i0 ], idx ), x.ref ); // eslint-disable-line max-len
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = map3d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/3d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/3d_accessors.js
new file mode 100644
index 00000000000..070474dff0a
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/3d_accessors.js
@@ -0,0 +1,205 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 zeroTo = require( '@stdlib/array/base/zero-to' );
+var reverse = require( '@stdlib/array/base/reverse' );
+var take = require( '@stdlib/array/base/take-indexed' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a three-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* function scale( z ) {
+* return new Complex64( realf(z)*10.0, imagf(z)*10.0 );
+* }
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 2, 1 ];
+* var sy = [ 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+* return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+* buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'complex64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+* var y = {
+* 'dtype': 'complex64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+*
+* // Apply the map function:
+* map3d( x, y, scale, {} );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 10.0
+*
+* var im = imagf( v );
+* // returns 20.0
+*/
+function map3d( x, y, fcn, thisArg ) {
+ var xbuf;
+ var ybuf;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dy0;
+ var dy1;
+ var dy2;
+ var idx;
+ var get;
+ var set;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var sx;
+ var sy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+
+ // Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+ sh = x.shape;
+ sx = x.strides;
+ sy = y.strides;
+ idx = zeroTo( sh.length );
+ if ( x.order === 'row-major' ) {
+ // For row-major ndarrays, the last dimensions have the fastest changing indices...
+ S0 = sh[ 2 ];
+ S1 = sh[ 1 ];
+ S2 = sh[ 0 ];
+ dx0 = sx[ 2 ]; // offset increment for innermost loop
+ dx1 = sx[ 1 ] - ( S0*sx[2] );
+ dx2 = sx[ 0 ] - ( S1*sx[1] ); // offset increment for outermost loop
+ dy0 = sy[ 2 ];
+ dy1 = sy[ 1 ] - ( S0*sy[2] );
+ dy2 = sy[ 0 ] - ( S1*sy[1] );
+ } else { // order === 'column-major'
+ // For column-major ndarrays, the first dimensions have the fastest changing indices...
+ S0 = sh[ 0 ];
+ S1 = sh[ 1 ];
+ S2 = sh[ 2 ];
+ dx0 = sx[ 0 ]; // offset increment for innermost loop
+ dx1 = sx[ 1 ] - ( S0*sx[0] );
+ dx2 = sx[ 2 ] - ( S1*sx[1] ); // offset increment for outermost loop
+ dy0 = sy[ 0 ];
+ dy1 = sy[ 1 ] - ( S0*sy[0] );
+ dy2 = sy[ 2 ] - ( S1*sy[1] );
+ idx = reverse( idx );
+ }
+ // Set the pointers to the first indexed elements in the respective ndarrays...
+ ix = x.offset;
+ iy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Cache accessors:
+ get = x.accessors[ 0 ];
+ set = y.accessors[ 1 ];
+
+ // Iterate over the ndarray dimensions...
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ set( ybuf, iy, fcn.call( thisArg, get( xbuf, ix ), take( [ i2, i1, i0 ], idx ), x.ref ) ); // eslint-disable-line max-len
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = map3d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/3d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/3d_blocked.js
new file mode 100644
index 00000000000..f9be8630a88
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/3d_blocked.js
@@ -0,0 +1,221 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 max-depth */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/unary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/unary-tiling-block-size' );
+var take = require( '@stdlib/array/base/take-indexed' );
+var reverse = require( '@stdlib/array/base/reverse' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a three-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray via loop blocking.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* function scale( x ) {
+* return x * 10.0;
+* }
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 1 ];
+* var sy = [ 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 1;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'float64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major'
+* };
+* var y = {
+* 'dtype': 'float64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major'
+* };
+*
+* // Apply the map function:
+* blockedmap3d( x, y, scale, {} );
+*
+* console.log( y.data );
+* // => [ 20.0, 30.0, 60.0, 70.0, 100.0, 110.0 ]
+*/
+function blockedmap3d( x, y, fcn, thisArg ) {
+ var bsize;
+ var xbuf;
+ var ybuf;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dy0;
+ var dy1;
+ var dy2;
+ var ox1;
+ var ox2;
+ var oy1;
+ var oy2;
+ var idx;
+ var sh;
+ var s0;
+ var s1;
+ var s2;
+ var sx;
+ var sy;
+ var ox;
+ var oy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var j0;
+ var j1;
+ var j2;
+ var o;
+
+ // Note on variable naming convention: s#, dx#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Resolve the loop interchange order:
+ o = loopOrder( x.shape, x.strides, y.strides );
+ sh = o.sh;
+ sx = o.sx;
+ sy = o.sy;
+ idx = reverse( o.idx );
+
+ // Determine the block size:
+ bsize = blockSize( x.dtype, y.dtype );
+
+ // Cache the indices of the first indexed elements in the respective ndarrays...
+ ox = x.offset;
+ oy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Cache offset increments for the innermost loop...
+ dx0 = sx[0];
+ dy0 = sy[0];
+
+ // Iterate over blocks...
+ for ( j2 = sh[2]; j2 > 0; ) {
+ if ( j2 < bsize ) {
+ s2 = j2;
+ j2 = 0;
+ } else {
+ s2 = bsize;
+ j2 -= bsize;
+ }
+ ox2 = ox + ( j2*sx[2] );
+ oy2 = oy + ( j2*sy[2] );
+ for ( j1 = sh[1]; j1 > 0; ) {
+ if ( j1 < bsize ) {
+ s1 = j1;
+ j1 = 0;
+ } else {
+ s1 = bsize;
+ j1 -= bsize;
+ }
+ dx2 = sx[2] - ( s1*sx[1] );
+ dy2 = sy[2] - ( s1*sy[1] );
+ ox1 = ox2 + ( j1*sx[1] );
+ oy1 = oy2 + ( j1*sy[1] );
+ for ( j0 = sh[0]; j0 > 0; ) {
+ if ( j0 < bsize ) {
+ s0 = j0;
+ j0 = 0;
+ } else {
+ s0 = bsize;
+ j0 -= bsize;
+ }
+ // Compute index offsets for the first input and output ndarray elements in the current block...
+ ix = ox1 + ( j0*sx[0] );
+ iy = oy1 + ( j0*sy[0] );
+
+ // Compute loop offset increments...
+ dx1 = sx[1] - ( s0*sx[0] );
+ dy1 = sy[1] - ( s0*sy[0] );
+
+ // Iterate over the ndarray dimensions...
+ for ( i2 = 0; i2 < s2; i2++ ) {
+ for ( i1 = 0; i1 < s1; i1++ ) {
+ for ( i0 = 0; i0 < s0; i0++ ) {
+ ybuf[ iy ] = fcn.call( thisArg, xbuf[ ix ], take( [ i2, i1, i0 ], idx ), x.ref ); // eslint-disable-line max-len
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ }
+ }
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = blockedmap3d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/3d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/3d_blocked_accessors.js
new file mode 100644
index 00000000000..aa6d1806a24
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/3d_blocked_accessors.js
@@ -0,0 +1,246 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 max-depth */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/unary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/unary-tiling-block-size' );
+var take = require( '@stdlib/array/base/take-indexed' );
+var reverse = require( '@stdlib/array/base/reverse' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a three-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray via loop blocking.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* function scale( z ) {
+* return new Complex64( realf(z)*10.0, imagf(z)*10.0 );
+* }
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 2, 2, 1 ];
+* var sy = [ 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+* return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+* buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'complex64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+* var y = {
+* 'dtype': 'complex64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+*
+* // Apply the map function:
+* blockedmap3d( x, y, scale, {} );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 10.0
+*
+* var im = imagf( v );
+* // returns 20.0
+*/
+function blockedmap3d( x, y, fcn, thisArg ) {
+ var bsize;
+ var xbuf;
+ var ybuf;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dy0;
+ var dy1;
+ var dy2;
+ var ox1;
+ var ox2;
+ var oy1;
+ var oy2;
+ var idx;
+ var get;
+ var set;
+ var sh;
+ var s0;
+ var s1;
+ var s2;
+ var sx;
+ var sy;
+ var ox;
+ var oy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var j0;
+ var j1;
+ var j2;
+ var o;
+
+ // Note on variable naming convention: s#, dx#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Resolve the loop interchange order:
+ o = loopOrder( x.shape, x.strides, y.strides );
+ sh = o.sh;
+ sx = o.sx;
+ sy = o.sy;
+ idx = reverse( o.idx );
+
+ // Determine the block size:
+ bsize = blockSize( x.dtype, y.dtype );
+
+ // Cache the indices of the first indexed elements in the respective ndarrays...
+ ox = x.offset;
+ oy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Cache offset increments for the innermost loop...
+ dx0 = sx[0];
+ dy0 = sy[0];
+
+ // Cache accessors:
+ get = x.accessors[0];
+ set = y.accessors[1];
+
+ // Iterate over blocks...
+ for ( j2 = sh[2]; j2 > 0; ) {
+ if ( j2 < bsize ) {
+ s2 = j2;
+ j2 = 0;
+ } else {
+ s2 = bsize;
+ j2 -= bsize;
+ }
+ ox2 = ox + ( j2*sx[2] );
+ oy2 = oy + ( j2*sy[2] );
+ for ( j1 = sh[1]; j1 > 0; ) {
+ if ( j1 < bsize ) {
+ s1 = j1;
+ j1 = 0;
+ } else {
+ s1 = bsize;
+ j1 -= bsize;
+ }
+ dx2 = sx[2] - ( s1*sx[1] );
+ dy2 = sy[2] - ( s1*sy[1] );
+ ox1 = ox2 + ( j1*sx[1] );
+ oy1 = oy2 + ( j1*sy[1] );
+ for ( j0 = sh[0]; j0 > 0; ) {
+ if ( j0 < bsize ) {
+ s0 = j0;
+ j0 = 0;
+ } else {
+ s0 = bsize;
+ j0 -= bsize;
+ }
+ // Compute index offsets for the first input and output ndarray elements in the current block...
+ ix = ox1 + ( j0*sx[0] );
+ iy = oy1 + ( j0*sy[0] );
+
+ // Compute loop offset increments...
+ dx1 = sx[1] - ( s0*sx[0] );
+ dy1 = sy[1] - ( s0*sy[0] );
+
+ // Iterate over the ndarray dimensions...
+ for ( i2 = 0; i2 < s2; i2++ ) {
+ for ( i1 = 0; i1 < s1; i1++ ) {
+ for ( i0 = 0; i0 < s0; i0++ ) {
+ set( ybuf, iy, fcn.call( thisArg, get( xbuf, ix ), take( [ i2, i1, i0 ], idx ), x.ref ) ); // eslint-disable-line max-len
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ }
+ }
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = blockedmap3d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/4d.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/4d.js
new file mode 100644
index 00000000000..12548b364d1
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/4d.js
@@ -0,0 +1,194 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 zeroTo = require( '@stdlib/array/base/zero-to' );
+var reverse = require( '@stdlib/array/base/reverse' );
+var take = require( '@stdlib/array/base/take-indexed' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a four-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* function scale( z ) {
+* return z * 10.0;
+* }
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 4, 4, 1 ];
+* var sy = [ 6, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 1;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'float64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major'
+* };
+* var y = {
+* 'dtype': 'float64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major'
+* };
+*
+* // Apply the map function:
+* map4d( x, y, scale, {} );
+*
+* console.log( y.data );
+* // => [ 20.0, 30.0, 60.0, 70.0, 100.0, 110.0 ]
+*/
+function map4d( x, y, fcn, thisArg ) {
+ var xbuf;
+ var ybuf;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dx3;
+ var dy0;
+ var dy1;
+ var dy2;
+ var dy3;
+ var idx;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var S3;
+ var sx;
+ var sy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var i3;
+
+ // Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+ sh = x.shape;
+ sx = x.strides;
+ sy = y.strides;
+ idx = zeroTo( sh.length );
+ if ( x.order === 'row-major' ) {
+ // For row-major ndarrays, the last dimensions have the fastest changing indices...
+ S0 = sh[ 3 ];
+ S1 = sh[ 2 ];
+ S2 = sh[ 1 ];
+ S3 = sh[ 0 ];
+ dx0 = sx[ 3 ]; // offset increment for innermost loop
+ dx1 = sx[ 2 ] - ( S0*sx[3] );
+ dx2 = sx[ 1 ] - ( S1*sx[2] );
+ dx3 = sx[ 0 ] - ( S2*sx[1] ); // offset increment for outermost loop
+ dy0 = sy[ 3 ];
+ dy1 = sy[ 2 ] - ( S0*sy[3] );
+ dy2 = sy[ 1 ] - ( S1*sy[2] );
+ dy3 = sy[ 0 ] - ( S2*sy[1] );
+ } else { // order === 'column-major'
+ // For column-major ndarrays, the first dimensions have the fastest changing indices...
+ S0 = sh[ 0 ];
+ S1 = sh[ 1 ];
+ S2 = sh[ 2 ];
+ S3 = sh[ 3 ];
+ dx0 = sx[ 0 ]; // offset increment for innermost loop
+ dx1 = sx[ 1 ] - ( S0*sx[0] );
+ dx2 = sx[ 2 ] - ( S1*sx[1] );
+ dx3 = sx[ 3 ] - ( S2*sx[2] ); // offset increment for outermost loop
+ dy0 = sy[ 0 ];
+ dy1 = sy[ 1 ] - ( S0*sy[0] );
+ dy2 = sy[ 2 ] - ( S1*sy[1] );
+ dy3 = sy[ 3 ] - ( S2*sy[2] );
+ idx = reverse( idx );
+ }
+ // Set the pointers to the first indexed elements in the respective ndarrays...
+ ix = x.offset;
+ iy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Iterate over the ndarray dimensions...
+ for ( i3 = 0; i3 < S3; i3++ ) {
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ ybuf[ iy ] = fcn.call( thisArg, xbuf[ ix ], take( [ i3, i2, i1, i0 ], idx ), x.ref ); // eslint-disable-line max-len
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ ix += dx3;
+ iy += dy3;
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = map4d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/4d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/4d_accessors.js
new file mode 100644
index 00000000000..421a1ff2730
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/4d_accessors.js
@@ -0,0 +1,219 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 zeroTo = require( '@stdlib/array/base/zero-to' );
+var reverse = require( '@stdlib/array/base/reverse' );
+var take = require( '@stdlib/array/base/take-indexed' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a four-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* function scale( z ) {
+* return new Complex64( realf(z)*10.0, imagf(z)*10.0 );
+* }
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 2, 1 ];
+* var sy = [ 4, 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+* return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+* buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'complex64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+* var y = {
+* 'dtype': 'complex64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+*
+* // Apply the map function:
+* map4d( x, y, scale, {} );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 10.0
+*
+* var im = imagf( v );
+* // returns 20.0
+*/
+function map4d( x, y, fcn, thisArg ) {
+ var xbuf;
+ var ybuf;
+ var get;
+ var set;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dx3;
+ var dy0;
+ var dy1;
+ var dy2;
+ var dy3;
+ var idx;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var S3;
+ var sx;
+ var sy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var i3;
+
+ // Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+ sh = x.shape;
+ sx = x.strides;
+ sy = y.strides;
+ idx = zeroTo( sh.length );
+ if ( x.order === 'row-major' ) {
+ // For row-major ndarrays, the last dimensions have the fastest changing indices...
+ S0 = sh[ 3 ];
+ S1 = sh[ 2 ];
+ S2 = sh[ 1 ];
+ S3 = sh[ 0 ];
+ dx0 = sx[ 3 ]; // offset increment for innermost loop
+ dx1 = sx[ 2 ] - ( S0*sx[3] );
+ dx2 = sx[ 1 ] - ( S1*sx[2] );
+ dx3 = sx[ 0 ] - ( S2*sx[1] ); // offset increment for outermost loop
+ dy0 = sy[ 3 ];
+ dy1 = sy[ 2 ] - ( S0*sy[3] );
+ dy2 = sy[ 1 ] - ( S1*sy[2] );
+ dy3 = sy[ 0 ] - ( S2*sy[1] );
+ } else { // order === 'column-major'
+ // For column-major ndarrays, the first dimensions have the fastest changing indices...
+ S0 = sh[ 0 ];
+ S1 = sh[ 1 ];
+ S2 = sh[ 2 ];
+ S3 = sh[ 3 ];
+ dx0 = sx[ 0 ]; // offset increment for innermost loop
+ dx1 = sx[ 1 ] - ( S0*sx[0] );
+ dx2 = sx[ 2 ] - ( S1*sx[1] );
+ dx3 = sx[ 3 ] - ( S2*sx[2] ); // offset increment for outermost loop
+ dy0 = sy[ 0 ];
+ dy1 = sy[ 1 ] - ( S0*sy[0] );
+ dy2 = sy[ 2 ] - ( S1*sy[1] );
+ dy3 = sy[ 3 ] - ( S2*sy[2] );
+ idx = reverse( idx );
+ }
+ // Set the pointers to the first indexed elements in the respective ndarrays...
+ ix = x.offset;
+ iy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Cache accessors:
+ get = x.accessors[ 0 ];
+ set = y.accessors[ 1 ];
+
+ // Iterate over the ndarray dimensions...
+ for ( i3 = 0; i3 < S3; i3++ ) {
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ set( ybuf, iy, fcn.call( thisArg, get( xbuf, ix ), take( [ i3, i2, i1, i0 ], idx ), x.ref ) ); // eslint-disable-line max-len
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ ix += dx3;
+ iy += dy3;
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = map4d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/4d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/4d_blocked.js
new file mode 100644
index 00000000000..099b476edbd
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/4d_blocked.js
@@ -0,0 +1,245 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 max-depth */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/unary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/unary-tiling-block-size' );
+var take = require( '@stdlib/array/base/take-indexed' );
+var reverse = require( '@stdlib/array/base/reverse' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a four-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray via loop blocking.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* function scale( x ) {
+* return x * 10.0;
+* }
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 4, 4, 1 ];
+* var sy = [ 6, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 1;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'float64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major'
+* };
+* var y = {
+* 'dtype': 'float64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major'
+* };
+*
+* // Apply the map function:
+* blockedmap4d( x, y, scale, {} );
+*
+* console.log( y.data );
+* // => [ 20.0, 30.0, 60.0, 70.0, 100.0, 110.0 ]
+*/
+function blockedmap4d( x, y, fcn, thisArg ) { // eslint-disable-line max-statements
+ var bsize;
+ var xbuf;
+ var ybuf;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dx3;
+ var dy0;
+ var dy1;
+ var dy2;
+ var dy3;
+ var ox1;
+ var ox2;
+ var ox3;
+ var idx;
+ var oy1;
+ var oy2;
+ var oy3;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var S3;
+ var sx;
+ var sy;
+ var ox;
+ var oy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var i3;
+ var j0;
+ var j1;
+ var j2;
+ var j3;
+ var o;
+
+ // Note on variable naming convention: s#, dx#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Resolve the loop interchange order:
+ o = loopOrder( x.shape, x.strides, y.strides );
+ sh = o.sh;
+ sx = o.sx;
+ sy = o.sy;
+ idx = reverse( o.idx );
+
+ // Determine the block size:
+ bsize = blockSize( x.dtype, y.dtype );
+
+ // Cache the indices of the first indexed elements in the respective ndarrays...
+ ox = x.offset;
+ oy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Cache offset increments for the innermost loop...
+ dx0 = sx[0];
+ dy0 = sy[0];
+
+ // Iterate over blocks...
+ for ( j3 = sh[3]; j3 > 0; ) {
+ if ( j3 < bsize ) {
+ S3 = j3;
+ j3 = 0;
+ } else {
+ S3 = bsize;
+ j3 -= bsize;
+ }
+ ox3 = ox + ( j3*sx[3] );
+ oy3 = oy + ( j3*sy[3] );
+ for ( j2 = sh[2]; j2 > 0; ) {
+ if ( j2 < bsize ) {
+ S2 = j2;
+ j2 = 0;
+ } else {
+ S2 = bsize;
+ j2 -= bsize;
+ }
+ dx3 = sx[3] - ( S2*sx[2] );
+ dy3 = sy[3] - ( S2*sy[2] );
+ ox2 = ox3 + ( j2*sx[2] );
+ oy2 = oy3 + ( j2*sy[2] );
+ for ( j1 = sh[1]; j1 > 0; ) {
+ if ( j1 < bsize ) {
+ S1 = j1;
+ j1 = 0;
+ } else {
+ S1 = bsize;
+ j1 -= bsize;
+ }
+ dx2 = sx[2] - ( S1*sx[1] );
+ dy2 = sy[2] - ( S1*sy[1] );
+ ox1 = ox2 + ( j1*sx[1] );
+ oy1 = oy2 + ( j1*sy[1] );
+ for ( j0 = sh[0]; j0 > 0; ) {
+ if ( j0 < bsize ) {
+ S0 = j0;
+ j0 = 0;
+ } else {
+ S0 = bsize;
+ j0 -= bsize;
+ }
+ // Compute index offsets for the first input and output ndarray elements in the current block...
+ ix = ox1 + ( j0*sx[0] );
+ iy = oy1 + ( j0*sy[0] );
+
+ // Compute loop offset increments...
+ dx1 = sx[1] - ( S0*sx[0] );
+ dy1 = sy[1] - ( S0*sy[0] );
+
+ // Iterate over the ndarray dimensions...
+ for ( i3 = 0; i3 < S3; i3++ ) {
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ ybuf[ iy ] = fcn.call( thisArg, xbuf[ ix ], take( [ i3, i2, i1, i0 ], idx ), x.ref ); // eslint-disable-line max-len
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ ix += dx3;
+ iy += dy3;
+ }
+ }
+ }
+ }
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = blockedmap4d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/4d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/4d_blocked_accessors.js
new file mode 100644
index 00000000000..3e935aa3c8f
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/4d_blocked_accessors.js
@@ -0,0 +1,270 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 max-depth */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/unary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/unary-tiling-block-size' );
+var take = require( '@stdlib/array/base/take-indexed' );
+var reverse = require( '@stdlib/array/base/reverse' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a four-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray via loop blocking.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* function scale( z ) {
+* return new Complex64( realf(z)*10.0, imagf(z)*10.0 );
+* }
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 2, 1 ];
+* var sy = [ 4, 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+* return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+* buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'complex64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+* var y = {
+* 'dtype': 'complex64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+*
+* // Apply the map function:
+* blockedmap4d( x, y, scale, {} );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 10.0
+*
+* var im = imagf( v );
+* // returns 20.0
+*/
+function blockedmap4d( x, y, fcn, thisArg ) { // eslint-disable-line max-statements
+ var bsize;
+ var xbuf;
+ var ybuf;
+ var get;
+ var set;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dx3;
+ var dy0;
+ var dy1;
+ var dy2;
+ var dy3;
+ var ox1;
+ var ox2;
+ var ox3;
+ var idx;
+ var oy1;
+ var oy2;
+ var oy3;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var S3;
+ var sx;
+ var sy;
+ var ox;
+ var oy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var i3;
+ var j0;
+ var j1;
+ var j2;
+ var j3;
+ var o;
+
+ // Note on variable naming convention: s#, dx#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Resolve the loop interchange order:
+ o = loopOrder( x.shape, x.strides, y.strides );
+ sh = o.sh;
+ sx = o.sx;
+ sy = o.sy;
+ idx = reverse( o.idx );
+
+ // Determine the block size:
+ bsize = blockSize( x.dtype, y.dtype );
+
+ // Cache the indices of the first indexed elements in the respective ndarrays...
+ ox = x.offset;
+ oy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Cache offset increments for the innermost loop...
+ dx0 = sx[0];
+ dy0 = sy[0];
+
+ // Iterate over blocks...
+ for ( j3 = sh[3]; j3 > 0; ) {
+ if ( j3 < bsize ) {
+ S3 = j3;
+ j3 = 0;
+ } else {
+ S3 = bsize;
+ j3 -= bsize;
+ }
+ ox3 = ox + ( j3*sx[3] );
+ oy3 = oy + ( j3*sy[3] );
+ for ( j2 = sh[2]; j2 > 0; ) {
+ if ( j2 < bsize ) {
+ S2 = j2;
+ j2 = 0;
+ } else {
+ S2 = bsize;
+ j2 -= bsize;
+ }
+ dx3 = sx[3] - ( S2*sx[2] );
+ dy3 = sy[3] - ( S2*sy[2] );
+ ox2 = ox3 + ( j2*sx[2] );
+ oy2 = oy3 + ( j2*sy[2] );
+ for ( j1 = sh[1]; j1 > 0; ) {
+ if ( j1 < bsize ) {
+ S1 = j1;
+ j1 = 0;
+ } else {
+ S1 = bsize;
+ j1 -= bsize;
+ }
+ dx2 = sx[2] - ( S1*sx[1] );
+ dy2 = sy[2] - ( S1*sy[1] );
+ ox1 = ox2 + ( j1*sx[1] );
+ oy1 = oy2 + ( j1*sy[1] );
+ for ( j0 = sh[0]; j0 > 0; ) {
+ if ( j0 < bsize ) {
+ S0 = j0;
+ j0 = 0;
+ } else {
+ S0 = bsize;
+ j0 -= bsize;
+ }
+ // Compute index offsets for the first input and output ndarray elements in the current block...
+ ix = ox1 + ( j0*sx[0] );
+ iy = oy1 + ( j0*sy[0] );
+
+ // Compute loop offset increments...
+ dx1 = sx[1] - ( S0*sx[0] );
+ dy1 = sy[1] - ( S0*sy[0] );
+
+ // Cache accessors:
+ get = x.accessors[ 0 ];
+ set = y.accessors[ 1 ];
+
+ // Iterate over the ndarray dimensions...
+ for ( i3 = 0; i3 < S3; i3++ ) {
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ set( ybuf, iy, fcn.call( thisArg, get( xbuf, ix ), take( [ i3, i2, i1, i0 ], idx ), x.ref ) ); // eslint-disable-line max-len
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ ix += dx3;
+ iy += dy3;
+ }
+ }
+ }
+ }
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = blockedmap4d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/5d.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/5d.js
new file mode 100644
index 00000000000..023b34f5944
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/5d.js
@@ -0,0 +1,208 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 zeroTo = require( '@stdlib/array/base/zero-to' );
+var reverse = require( '@stdlib/array/base/reverse' );
+var take = require( '@stdlib/array/base/take-indexed' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a five-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* function scale( z ) {
+* return z * 10.0;
+* }
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 12, 4, 4, 1 ];
+* var sy = [ 6, 6, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 1;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'float64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major'
+* };
+* var y = {
+* 'dtype': 'float64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major'
+* };
+*
+* // Apply the map function:
+* map5d( x, y, scale, {} );
+*
+* console.log( y.data );
+* // => [ 20.0, 30.0, 60.0, 70.0, 100.0, 110.0 ]
+*/
+function map5d( x, y, fcn, thisArg ) {
+ var xbuf;
+ var ybuf;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dx3;
+ var dx4;
+ var dy0;
+ var dy1;
+ var dy2;
+ var dy3;
+ var dy4;
+ var idx;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var S3;
+ var S4;
+ var sx;
+ var sy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var i3;
+ var i4;
+
+ // Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+ sh = x.shape;
+ sx = x.strides;
+ sy = y.strides;
+ idx = zeroTo( sh.length );
+ if ( x.order === 'row-major' ) {
+ // For row-major ndarrays, the last dimensions have the fastest changing indices...
+ S0 = sh[ 4 ];
+ S1 = sh[ 3 ];
+ S2 = sh[ 2 ];
+ S3 = sh[ 1 ];
+ S4 = sh[ 0 ];
+ dx0 = sx[ 4 ]; // offset increment for innermost loop
+ dx1 = sx[ 3 ] - ( S0*sx[4] );
+ dx2 = sx[ 2 ] - ( S1*sx[3] );
+ dx3 = sx[ 1 ] - ( S2*sx[2] );
+ dx4 = sx[ 0 ] - ( S3*sx[1] ); // offset increment for outermost loop
+ dy0 = sy[ 4 ];
+ dy1 = sy[ 3 ] - ( S0*sy[4] );
+ dy2 = sy[ 2 ] - ( S1*sy[3] );
+ dy3 = sy[ 1 ] - ( S2*sy[2] );
+ dy4 = sy[ 0 ] - ( S3*sy[1] );
+ } else { // order === 'column-major'
+ // For column-major ndarrays, the first dimensions have the fastest changing indices...
+ S0 = sh[ 0 ];
+ S1 = sh[ 1 ];
+ S2 = sh[ 2 ];
+ S3 = sh[ 3 ];
+ S4 = sh[ 4 ];
+ dx0 = sx[ 0 ]; // offset increment for innermost loop
+ dx1 = sx[ 1 ] - ( S0*sx[0] );
+ dx2 = sx[ 2 ] - ( S1*sx[1] );
+ dx3 = sx[ 3 ] - ( S2*sx[2] );
+ dx4 = sx[ 4 ] - ( S3*sx[3] ); // offset increment for outermost loop
+ dy0 = sy[ 0 ];
+ dy1 = sy[ 1 ] - ( S0*sy[0] );
+ dy2 = sy[ 2 ] - ( S1*sy[1] );
+ dy3 = sy[ 3 ] - ( S2*sy[2] );
+ dy4 = sy[ 4 ] - ( S3*sy[3] );
+ idx = reverse( idx );
+ }
+ // Set the pointers to the first indexed elements in the respective ndarrays...
+ ix = x.offset;
+ iy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Iterate over the ndarray dimensions...
+ for ( i4 = 0; i4 < S4; i4++ ) {
+ for ( i3 = 0; i3 < S3; i3++ ) {
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ ybuf[ iy ] = fcn.call( thisArg, xbuf[ ix ], take( [ i4, i3, i2, i1, i0 ], idx ), x.ref ); // eslint-disable-line max-len
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ ix += dx3;
+ iy += dy3;
+ }
+ ix += dx4;
+ iy += dy4;
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = map5d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/5d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/5d_accessors.js
new file mode 100644
index 00000000000..e63ce107d73
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/5d_accessors.js
@@ -0,0 +1,233 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 zeroTo = require( '@stdlib/array/base/zero-to' );
+var reverse = require( '@stdlib/array/base/reverse' );
+var take = require( '@stdlib/array/base/take-indexed' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a five-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* function scale( z ) {
+* return new Complex64( realf(z)*10.0, imagf(z)*10.0 );
+* }
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 4, 2, 1 ];
+* var sy = [ 4, 4, 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+* return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+* buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'complex64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+* var y = {
+* 'dtype': 'complex64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+*
+* // Apply the map function:
+* map5d( x, y, scale, {} );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 10.0
+*
+* var im = imagf( v );
+* // returns 20.0
+*/
+function map5d( x, y, fcn, thisArg ) {
+ var xbuf;
+ var ybuf;
+ var get;
+ var set;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dx3;
+ var dx4;
+ var dy0;
+ var dy1;
+ var dy2;
+ var dy3;
+ var dy4;
+ var idx;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var S3;
+ var S4;
+ var sx;
+ var sy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var i3;
+ var i4;
+
+ // Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+ sh = x.shape;
+ sx = x.strides;
+ sy = y.strides;
+ idx = zeroTo( sh.length );
+ if ( x.order === 'row-major' ) {
+ // For row-major ndarrays, the last dimensions have the fastest changing indices...
+ S0 = sh[ 4 ];
+ S1 = sh[ 3 ];
+ S2 = sh[ 2 ];
+ S3 = sh[ 1 ];
+ S4 = sh[ 0 ];
+ dx0 = sx[ 4 ]; // offset increment for innermost loop
+ dx1 = sx[ 3 ] - ( S0*sx[4] );
+ dx2 = sx[ 2 ] - ( S1*sx[3] );
+ dx3 = sx[ 1 ] - ( S2*sx[2] );
+ dx4 = sx[ 0 ] - ( S3*sx[1] ); // offset increment for outermost loop
+ dy0 = sy[ 4 ];
+ dy1 = sy[ 3 ] - ( S0*sy[4] );
+ dy2 = sy[ 2 ] - ( S1*sy[3] );
+ dy3 = sy[ 1 ] - ( S2*sy[2] );
+ dy4 = sy[ 0 ] - ( S3*sy[1] );
+ } else { // order === 'column-major'
+ // For column-major ndarrays, the first dimensions have the fastest changing indices...
+ S0 = sh[ 0 ];
+ S1 = sh[ 1 ];
+ S2 = sh[ 2 ];
+ S3 = sh[ 3 ];
+ S4 = sh[ 4 ];
+ dx0 = sx[ 0 ]; // offset increment for innermost loop
+ dx1 = sx[ 1 ] - ( S0*sx[0] );
+ dx2 = sx[ 2 ] - ( S1*sx[1] );
+ dx3 = sx[ 3 ] - ( S2*sx[2] );
+ dx4 = sx[ 4 ] - ( S3*sx[3] ); // offset increment for outermost loop
+ dy0 = sy[ 0 ];
+ dy1 = sy[ 1 ] - ( S0*sy[0] );
+ dy2 = sy[ 2 ] - ( S1*sy[1] );
+ dy3 = sy[ 3 ] - ( S2*sy[2] );
+ dy4 = sy[ 4 ] - ( S3*sy[3] );
+ idx = reverse( idx );
+ }
+ // Set the pointers to the first indexed elements in the respective ndarrays...
+ ix = x.offset;
+ iy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Cache accessors:
+ get = x.accessors[ 0 ];
+ set = y.accessors[ 1 ];
+
+ // Iterate over the ndarray dimensions...
+ for ( i4 = 0; i4 < S4; i4++ ) {
+ for ( i3 = 0; i3 < S3; i3++ ) {
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ set( ybuf, iy, fcn.call( thisArg, get( xbuf, ix ), take( [ i4, i3, i2, i1, i0 ], idx ), x.ref ) ); // eslint-disable-line max-len
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ ix += dx3;
+ iy += dy3;
+ }
+ ix += dx4;
+ iy += dy4;
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = map5d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/5d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/5d_blocked.js
new file mode 100644
index 00000000000..36b84b0784b
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/5d_blocked.js
@@ -0,0 +1,269 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 max-depth */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/unary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/unary-tiling-block-size' );
+var take = require( '@stdlib/array/base/take-indexed' );
+var reverse = require( '@stdlib/array/base/reverse' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a five-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray via loop blocking.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* function scale( z ) {
+* return z * 10.0;
+* }
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 12, 4, 4, 1 ];
+* var sy = [ 6, 6, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 1;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'float64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major'
+* };
+* var y = {
+* 'dtype': 'float64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major'
+* };
+*
+* // Apply the map function:
+* blockedmap5d( x, y, scale, {} );
+*
+* console.log( y.data );
+* // => [ 20.0, 30.0, 60.0, 70.0, 100.0, 110.0 ]
+*/
+function blockedmap5d( x, y, fcn, thisArg ) { // eslint-disable-line max-statements
+ var bsize;
+ var xbuf;
+ var ybuf;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dx3;
+ var dx4;
+ var dy0;
+ var dy1;
+ var dy2;
+ var dy3;
+ var dy4;
+ var ox1;
+ var ox2;
+ var ox3;
+ var ox4;
+ var idx;
+ var oy1;
+ var oy2;
+ var oy3;
+ var oy4;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var S3;
+ var S4;
+ var sx;
+ var sy;
+ var ox;
+ var oy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var i3;
+ var i4;
+ var j0;
+ var j1;
+ var j2;
+ var j3;
+ var j4;
+ var o;
+
+ // Note on variable naming convention: s#, dx#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Resolve the loop interchange order:
+ o = loopOrder( x.shape, x.strides, y.strides );
+ sh = o.sh;
+ sx = o.sx;
+ sy = o.sy;
+ idx = reverse( o.idx );
+
+ // Determine the block size:
+ bsize = blockSize( x.dtype, y.dtype );
+
+ // Cache the indices of the first indexed elements in the respective ndarrays...
+ ox = x.offset;
+ oy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Cache offset increments for the innermost loop...
+ dx0 = sx[0];
+ dy0 = sy[0];
+
+ // Iterate over blocks...
+ for ( j4 = sh[4]; j4 > 0; ) {
+ if ( j4 < bsize ) {
+ S4 = j4;
+ j4 = 0;
+ } else {
+ S4 = bsize;
+ j4 -= bsize;
+ }
+ ox4 = ox + ( j4*sx[4] );
+ oy4 = oy + ( j4*sy[4] );
+ for ( j3 = sh[3]; j3 > 0; ) {
+ if ( j3 < bsize ) {
+ S3 = j3;
+ j3 = 0;
+ } else {
+ S3 = bsize;
+ j3 -= bsize;
+ }
+ dx4 = sx[4] - ( S3*sx[3] );
+ dy4 = sy[4] - ( S3*sy[3] );
+ ox3 = ox4 + ( j3*sx[3] );
+ oy3 = oy4 + ( j3*sy[3] );
+ for ( j2 = sh[2]; j2 > 0; ) {
+ if ( j2 < bsize ) {
+ S2 = j2;
+ j2 = 0;
+ } else {
+ S2 = bsize;
+ j2 -= bsize;
+ }
+ dx3 = sx[3] - ( S2*sx[2] );
+ dy3 = sy[3] - ( S2*sy[2] );
+ ox2 = ox3 + ( j2*sx[2] );
+ oy2 = oy3 + ( j2*sy[2] );
+ for ( j1 = sh[1]; j1 > 0; ) {
+ if ( j1 < bsize ) {
+ S1 = j1;
+ j1 = 0;
+ } else {
+ S1 = bsize;
+ j1 -= bsize;
+ }
+ dx2 = sx[2] - ( S1*sx[1] );
+ dy2 = sy[2] - ( S1*sy[1] );
+ ox1 = ox2 + ( j1*sx[1] );
+ oy1 = oy2 + ( j1*sy[1] );
+ for ( j0 = sh[0]; j0 > 0; ) {
+ if ( j0 < bsize ) {
+ S0 = j0;
+ j0 = 0;
+ } else {
+ S0 = bsize;
+ j0 -= bsize;
+ }
+ // Compute index offsets for the first input and output ndarray elements in the current block...
+ ix = ox1 + ( j0*sx[0] );
+ iy = oy1 + ( j0*sy[0] );
+
+ // Compute loop offset increments...
+ dx1 = sx[1] - ( S0*sx[0] );
+ dy1 = sy[1] - ( S0*sy[0] );
+
+ // Iterate over the ndarray dimensions...
+ for ( i4 = 0; i4 < S4; i4++ ) {
+ for ( i3 = 0; i3 < S3; i3++ ) {
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ ybuf[ iy ] = fcn.call( thisArg, xbuf[ ix ], take( [ i4, i3, i2, i1, i0 ], idx ), x.ref ); // eslint-disable-line max-len
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ ix += dx3;
+ iy += dy3;
+ }
+ ix += dx4;
+ iy += dy4;
+ }
+ }
+ }
+ }
+ }
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = blockedmap5d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/5d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/5d_blocked_accessors.js
new file mode 100644
index 00000000000..64dbcf2ed0e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/5d_blocked_accessors.js
@@ -0,0 +1,294 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 max-depth */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/unary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/unary-tiling-block-size' );
+var take = require( '@stdlib/array/base/take-indexed' );
+var reverse = require( '@stdlib/array/base/reverse' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a five-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray via loop blocking.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* function scale( z ) {
+* return new Complex64( realf(z)*10.0, imagf(z)*10.0 );
+* }
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 4, 2, 1 ];
+* var sy = [ 4, 4, 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+* return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+* buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'complex64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+* var y = {
+* 'dtype': 'complex64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+*
+* // Apply the map function:
+* blockedmap5d( x, y, scale, {} );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 10.0
+*
+* var im = imagf( v );
+* // returns 20.0
+*/
+function blockedmap5d( x, y, fcn, thisArg ) { // eslint-disable-line max-statements
+ var bsize;
+ var xbuf;
+ var ybuf;
+ var get;
+ var set;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dx3;
+ var dx4;
+ var dy0;
+ var dy1;
+ var dy2;
+ var dy3;
+ var dy4;
+ var ox1;
+ var ox2;
+ var ox3;
+ var ox4;
+ var idx;
+ var oy1;
+ var oy2;
+ var oy3;
+ var oy4;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var S3;
+ var S4;
+ var sx;
+ var sy;
+ var ox;
+ var oy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var i3;
+ var i4;
+ var j0;
+ var j1;
+ var j2;
+ var j3;
+ var j4;
+ var o;
+
+ // Note on variable naming convention: s#, dx#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Resolve the loop interchange order:
+ o = loopOrder( x.shape, x.strides, y.strides );
+ sh = o.sh;
+ sx = o.sx;
+ sy = o.sy;
+ idx = reverse( o.idx );
+
+ // Determine the block size:
+ bsize = blockSize( x.dtype, y.dtype );
+
+ // Cache the indices of the first indexed elements in the respective ndarrays...
+ ox = x.offset;
+ oy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Cache offset increments for the innermost loop...
+ dx0 = sx[0];
+ dy0 = sy[0];
+
+ // Cache accessors:
+ get = x.accessors[0];
+ set = y.accessors[1];
+
+ // Iterate over blocks...
+ for ( j4 = sh[4]; j4 > 0; ) {
+ if ( j4 < bsize ) {
+ S4 = j4;
+ j4 = 0;
+ } else {
+ S4 = bsize;
+ j4 -= bsize;
+ }
+ ox4 = ox + ( j4*sx[4] );
+ oy4 = oy + ( j4*sy[4] );
+ for ( j3 = sh[3]; j3 > 0; ) {
+ if ( j3 < bsize ) {
+ S3 = j3;
+ j3 = 0;
+ } else {
+ S3 = bsize;
+ j3 -= bsize;
+ }
+ dx4 = sx[4] - ( S3*sx[3] );
+ dy4 = sy[4] - ( S3*sy[3] );
+ ox3 = ox4 + ( j3*sx[3] );
+ oy3 = oy4 + ( j3*sy[3] );
+ for ( j2 = sh[2]; j2 > 0; ) {
+ if ( j2 < bsize ) {
+ S2 = j2;
+ j2 = 0;
+ } else {
+ S2 = bsize;
+ j2 -= bsize;
+ }
+ dx3 = sx[3] - ( S2*sx[2] );
+ dy3 = sy[3] - ( S2*sy[2] );
+ ox2 = ox3 + ( j2*sx[2] );
+ oy2 = oy3 + ( j2*sy[2] );
+ for ( j1 = sh[1]; j1 > 0; ) {
+ if ( j1 < bsize ) {
+ S1 = j1;
+ j1 = 0;
+ } else {
+ S1 = bsize;
+ j1 -= bsize;
+ }
+ dx2 = sx[2] - ( S1*sx[1] );
+ dy2 = sy[2] - ( S1*sy[1] );
+ ox1 = ox2 + ( j1*sx[1] );
+ oy1 = oy2 + ( j1*sy[1] );
+ for ( j0 = sh[0]; j0 > 0; ) {
+ if ( j0 < bsize ) {
+ S0 = j0;
+ j0 = 0;
+ } else {
+ S0 = bsize;
+ j0 -= bsize;
+ }
+ // Compute index offsets for the first input and output ndarray elements in the current block...
+ ix = ox1 + ( j0*sx[0] );
+ iy = oy1 + ( j0*sy[0] );
+
+ // Compute loop offset increments...
+ dx1 = sx[1] - ( S0*sx[0] );
+ dy1 = sy[1] - ( S0*sy[0] );
+
+ // Iterate over the ndarray dimensions...
+ for ( i4 = 0; i4 < S4; i4++ ) {
+ for ( i3 = 0; i3 < S3; i3++ ) {
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ set( ybuf, iy, fcn.call( thisArg, get( xbuf, ix ), take( [ i4, i3, i2, i1, i0 ], idx ), x.ref ) ); // eslint-disable-line max-len
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ ix += dx3;
+ iy += dy3;
+ }
+ ix += dx4;
+ iy += dy4;
+ }
+ }
+ }
+ }
+ }
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = blockedmap5d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/6d.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/6d.js
new file mode 100644
index 00000000000..db66a085a16
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/6d.js
@@ -0,0 +1,224 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 max-depth */
+
+'use strict';
+
+// MODULES //
+
+var zeroTo = require( '@stdlib/array/base/zero-to' );
+var reverse = require( '@stdlib/array/base/reverse' );
+var take = require( '@stdlib/array/base/take-indexed' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a six-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* function scale( z ) {
+* return z * 10.0;
+* }
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 12, 12, 4, 4, 1 ];
+* var sy = [ 6, 6, 6, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 1;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'float64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major'
+* };
+* var y = {
+* 'dtype': 'float64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major'
+* };
+*
+* // Apply the map function:
+* map6d( x, y, scale, {} );
+*
+* console.log( y.data );
+* // => [ 20.0, 30.0, 60.0, 70.0, 100.0, 110.0 ]
+*/
+function map6d( x, y, fcn, thisArg ) {
+ var xbuf;
+ var ybuf;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dx3;
+ var dx4;
+ var dx5;
+ var dy0;
+ var dy1;
+ var dy2;
+ var dy3;
+ var dy4;
+ var dy5;
+ var idx;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var S3;
+ var S4;
+ var S5;
+ var sx;
+ var sy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var i3;
+ var i4;
+ var i5;
+
+ // Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+ sh = x.shape;
+ sx = x.strides;
+ sy = y.strides;
+ idx = zeroTo( sh.length );
+ if ( x.order === 'row-major' ) {
+ // For row-major ndarrays, the last dimensions have the fastest changing indices...
+ S0 = sh[ 5 ];
+ S1 = sh[ 4 ];
+ S2 = sh[ 3 ];
+ S3 = sh[ 2 ];
+ S4 = sh[ 1 ];
+ S5 = sh[ 0 ];
+ dx0 = sx[ 5 ]; // offset increment for innermost loop
+ dx1 = sx[ 4 ] - ( S0*sx[5] );
+ dx2 = sx[ 3 ] - ( S1*sx[4] );
+ dx3 = sx[ 2 ] - ( S2*sx[3] );
+ dx4 = sx[ 1 ] - ( S3*sx[2] );
+ dx5 = sx[ 0 ] - ( S4*sx[1] ); // offset increment for outermost loop
+ dy0 = sy[ 5 ];
+ dy1 = sy[ 4 ] - ( S0*sy[5] );
+ dy2 = sy[ 3 ] - ( S1*sy[4] );
+ dy3 = sy[ 2 ] - ( S2*sy[3] );
+ dy4 = sy[ 1 ] - ( S3*sy[2] );
+ dy5 = sy[ 0 ] - ( S4*sy[1] );
+ } else { // order === 'column-major'
+ // For column-major ndarrays, the first dimensions have the fastest changing indices...
+ S0 = sh[ 0 ];
+ S1 = sh[ 1 ];
+ S2 = sh[ 2 ];
+ S3 = sh[ 3 ];
+ S4 = sh[ 4 ];
+ S5 = sh[ 5 ];
+ dx0 = sx[ 0 ]; // offset increment for innermost loop
+ dx1 = sx[ 1 ] - ( S0*sx[0] );
+ dx2 = sx[ 2 ] - ( S1*sx[1] );
+ dx3 = sx[ 3 ] - ( S2*sx[2] );
+ dx4 = sx[ 4 ] - ( S3*sx[3] );
+ dx5 = sx[ 5 ] - ( S4*sx[4] ); // offset increment for outermost loop
+ dy0 = sy[ 0 ];
+ dy1 = sy[ 1 ] - ( S0*sy[0] );
+ dy2 = sy[ 2 ] - ( S1*sy[1] );
+ dy3 = sy[ 3 ] - ( S2*sy[2] );
+ dy4 = sy[ 4 ] - ( S3*sy[3] );
+ dy5 = sy[ 5 ] - ( S4*sy[4] );
+ idx = reverse( idx );
+ }
+ // Set the pointers to the first indexed elements in the respective ndarrays...
+ ix = x.offset;
+ iy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Iterate over the ndarray dimensions...
+ for ( i5 = 0; i5 < S5; i5++ ) {
+ for ( i4 = 0; i4 < S4; i4++ ) {
+ for ( i3 = 0; i3 < S3; i3++ ) {
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ ybuf[ iy ] = fcn.call( thisArg, xbuf[ ix ], take( [ i5, i4, i3, i2, i1, i0 ], idx ), x.ref ); // eslint-disable-line max-len
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ ix += dx3;
+ iy += dy3;
+ }
+ ix += dx4;
+ iy += dy4;
+ }
+ ix += dx5;
+ iy += dy5;
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = map6d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/6d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/6d_accessors.js
new file mode 100644
index 00000000000..9d3d4f9114e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/6d_accessors.js
@@ -0,0 +1,249 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 max-depth */
+
+'use strict';
+
+// MODULES //
+
+var zeroTo = require( '@stdlib/array/base/zero-to' );
+var reverse = require( '@stdlib/array/base/reverse' );
+var take = require( '@stdlib/array/base/take-indexed' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a six-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* function scale( z ) {
+* return new Complex64( realf(z)*10.0, imagf(z)*10.0 );
+* }
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 4, 4, 2, 1 ];
+* var sy = [ 4, 4, 4, 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+* return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+* buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'complex64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+* var y = {
+* 'dtype': 'complex64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+*
+* // Apply the map function:
+* map6d( x, y, scale, {} );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 10.0
+*
+* var im = imagf( v );
+* // returns 20.0
+*/
+function map6d( x, y, fcn, thisArg ) { // eslint-disable-line max-statements
+ var xbuf;
+ var ybuf;
+ var get;
+ var set;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dx3;
+ var dx4;
+ var dx5;
+ var dy0;
+ var dy1;
+ var dy2;
+ var dy3;
+ var dy4;
+ var dy5;
+ var idx;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var S3;
+ var S4;
+ var S5;
+ var sx;
+ var sy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var i3;
+ var i4;
+ var i5;
+
+ // Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+ sh = x.shape;
+ sx = x.strides;
+ sy = y.strides;
+ idx = zeroTo( sh.length );
+ if ( x.order === 'row-major' ) {
+ // For row-major ndarrays, the last dimensions have the fastest changing indices...
+ S0 = sh[ 5 ];
+ S1 = sh[ 4 ];
+ S2 = sh[ 3 ];
+ S3 = sh[ 2 ];
+ S4 = sh[ 1 ];
+ S5 = sh[ 0 ];
+ dx0 = sx[ 5 ]; // offset increment for innermost loop
+ dx1 = sx[ 4 ] - ( S0*sx[5] );
+ dx2 = sx[ 3 ] - ( S1*sx[4] );
+ dx3 = sx[ 2 ] - ( S2*sx[3] );
+ dx4 = sx[ 1 ] - ( S3*sx[2] );
+ dx5 = sx[ 0 ] - ( S4*sx[1] ); // offset increment for outermost loop
+ dy0 = sy[ 5 ];
+ dy1 = sy[ 4 ] - ( S0*sy[5] );
+ dy2 = sy[ 3 ] - ( S1*sy[4] );
+ dy3 = sy[ 2 ] - ( S2*sy[3] );
+ dy4 = sy[ 1 ] - ( S3*sy[2] );
+ dy5 = sy[ 0 ] - ( S4*sy[1] );
+ } else { // order === 'column-major'
+ // For column-major ndarrays, the first dimensions have the fastest changing indices...
+ S0 = sh[ 0 ];
+ S1 = sh[ 1 ];
+ S2 = sh[ 2 ];
+ S3 = sh[ 3 ];
+ S4 = sh[ 4 ];
+ S5 = sh[ 5 ];
+ dx0 = sx[ 0 ]; // offset increment for innermost loop
+ dx1 = sx[ 1 ] - ( S0*sx[0] );
+ dx2 = sx[ 2 ] - ( S1*sx[1] );
+ dx3 = sx[ 3 ] - ( S2*sx[2] );
+ dx4 = sx[ 4 ] - ( S3*sx[3] );
+ dx5 = sx[ 5 ] - ( S4*sx[4] ); // offset increment for outermost loop
+ dy0 = sy[ 0 ];
+ dy1 = sy[ 1 ] - ( S0*sy[0] );
+ dy2 = sy[ 2 ] - ( S1*sy[1] );
+ dy3 = sy[ 3 ] - ( S2*sy[2] );
+ dy4 = sy[ 4 ] - ( S3*sy[3] );
+ dy5 = sy[ 5 ] - ( S4*sy[4] );
+ idx = reverse( idx );
+ }
+ // Set the pointers to the first indexed elements in the respective ndarrays...
+ ix = x.offset;
+ iy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Cache accessors:
+ get = x.accessors[ 0 ];
+ set = y.accessors[ 1 ];
+
+ // Iterate over the ndarray dimensions...
+ for ( i5 = 0; i5 < S5; i5++ ) {
+ for ( i4 = 0; i4 < S4; i4++ ) {
+ for ( i3 = 0; i3 < S3; i3++ ) {
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ set( ybuf, iy, fcn.call( thisArg, get( xbuf, ix ), take( [ i5, i4, i3, i2, i1, i0 ], idx ), x.ref ) ); // eslint-disable-line max-len
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ ix += dx3;
+ iy += dy3;
+ }
+ ix += dx4;
+ iy += dy4;
+ }
+ ix += dx5;
+ iy += dy5;
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = map6d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/6d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/6d_blocked.js
new file mode 100644
index 00000000000..e1ad34da3d7
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/6d_blocked.js
@@ -0,0 +1,293 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 max-depth, max-len */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/unary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/unary-tiling-block-size' );
+var take = require( '@stdlib/array/base/take-indexed' );
+var reverse = require( '@stdlib/array/base/reverse' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a six-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray via loop blocking.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* function scale( z ) {
+* return z * 10.0;
+* }
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 12, 12, 4, 4, 1 ];
+* var sy = [ 6, 6, 6, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 1;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'float64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major'
+* };
+* var y = {
+* 'dtype': 'float64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major'
+* };
+*
+* // Apply the map function:
+* blockedmap6d( x, y, scale, {} );
+*
+* console.log( y.data );
+* // => [ 20.0, 30.0, 60.0, 70.0, 100.0, 110.0 ]
+*/
+function blockedmap6d( x, y, fcn, thisArg ) { // eslint-disable-line max-statements
+ var bsize;
+ var xbuf;
+ var ybuf;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dx3;
+ var dx4;
+ var dx5;
+ var dy0;
+ var dy1;
+ var dy2;
+ var dy3;
+ var dy4;
+ var dy5;
+ var ox1;
+ var ox2;
+ var ox3;
+ var ox4;
+ var ox5;
+ var oy1;
+ var oy2;
+ var oy3;
+ var oy4;
+ var oy5;
+ var idx;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var S3;
+ var S4;
+ var S5;
+ var sx;
+ var sy;
+ var ox;
+ var oy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var i3;
+ var i4;
+ var i5;
+ var j0;
+ var j1;
+ var j2;
+ var j3;
+ var j4;
+ var j5;
+ var o;
+
+ // Note on variable naming convention: s#, dx#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Resolve the loop interchange order:
+ o = loopOrder( x.shape, x.strides, y.strides );
+ sh = o.sh;
+ sx = o.sx;
+ sy = o.sy;
+ idx = reverse( o.idx );
+
+ // Determine the block size:
+ bsize = blockSize( x.dtype, y.dtype );
+
+ // Cache the indices of the first indexed elements in the respective ndarrays...
+ ox = x.offset;
+ oy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Cache offset increments for the innermost loop...
+ dx0 = sx[0];
+ dy0 = sy[0];
+
+ // Iterate over blocks...
+ for ( j5 = sh[5]; j5 > 0; ) {
+ if ( j5 < bsize ) {
+ S5 = j5;
+ j5 = 0;
+ } else {
+ S5 = bsize;
+ j5 -= bsize;
+ }
+ ox5 = ox + ( j5*sx[5] );
+ oy5 = oy + ( j5*sy[5] );
+ for ( j4 = sh[4]; j4 > 0; ) {
+ if ( j4 < bsize ) {
+ S4 = j4;
+ j4 = 0;
+ } else {
+ S4 = bsize;
+ j4 -= bsize;
+ }
+ dx5 = sx[5] - ( S4*sx[4] );
+ dy5 = sy[5] - ( S4*sy[4] );
+ ox4 = ox5 + ( j4*sx[4] );
+ oy4 = oy5 + ( j4*sy[4] );
+ for ( j3 = sh[3]; j3 > 0; ) {
+ if ( j3 < bsize ) {
+ S3 = j3;
+ j3 = 0;
+ } else {
+ S3 = bsize;
+ j3 -= bsize;
+ }
+ dx4 = sx[4] - ( S3*sx[3] );
+ dy4 = sy[4] - ( S3*sy[3] );
+ ox3 = ox4 + ( j3*sx[3] );
+ oy3 = oy4 + ( j3*sy[3] );
+ for ( j2 = sh[2]; j2 > 0; ) {
+ if ( j2 < bsize ) {
+ S2 = j2;
+ j2 = 0;
+ } else {
+ S2 = bsize;
+ j2 -= bsize;
+ }
+ dx3 = sx[3] - ( S2*sx[2] );
+ dy3 = sy[3] - ( S2*sy[2] );
+ ox2 = ox3 + ( j2*sx[2] );
+ oy2 = oy3 + ( j2*sy[2] );
+ for ( j1 = sh[1]; j1 > 0; ) {
+ if ( j1 < bsize ) {
+ S1 = j1;
+ j1 = 0;
+ } else {
+ S1 = bsize;
+ j1 -= bsize;
+ }
+ dx2 = sx[2] - ( S1*sx[1] );
+ dy2 = sy[2] - ( S1*sy[1] );
+ ox1 = ox2 + ( j1*sx[1] );
+ oy1 = oy2 + ( j1*sy[1] );
+ for ( j0 = sh[0]; j0 > 0; ) {
+ if ( j0 < bsize ) {
+ S0 = j0;
+ j0 = 0;
+ } else {
+ S0 = bsize;
+ j0 -= bsize;
+ }
+ // Compute index offsets for the first input and output ndarray elements in the current block...
+ ix = ox1 + ( j0*sx[0] );
+ iy = oy1 + ( j0*sy[0] );
+
+ // Compute loop offset increments...
+ dx1 = sx[1] - ( S0*sx[0] );
+ dy1 = sy[1] - ( S0*sy[0] );
+
+ // Iterate over the ndarray dimensions...
+ for ( i5 = 0; i5 < S5; i5++ ) {
+ for ( i4 = 0; i4 < S4; i4++ ) {
+ for ( i3 = 0; i3 < S3; i3++ ) {
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ ybuf[ iy ] = fcn.call( thisArg, xbuf[ ix ], take( [ i5, i4, i3, i2, i1, i0 ], idx ), x.ref );
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ ix += dx3;
+ iy += dy3;
+ }
+ ix += dx4;
+ iy += dy4;
+ }
+ ix += dx5;
+ iy += dy5;
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = blockedmap6d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/6d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/6d_blocked_accessors.js
new file mode 100644
index 00000000000..34b8bf4f532
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/6d_blocked_accessors.js
@@ -0,0 +1,318 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 max-depth, max-len */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/unary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/unary-tiling-block-size' );
+var take = require( '@stdlib/array/base/take-indexed' );
+var reverse = require( '@stdlib/array/base/reverse' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a six-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray via loop blocking.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* function scale( z ) {
+* return new Complex64( realf(z)*10.0, imagf(z)*10.0 );
+* }
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 4, 4, 2, 1 ];
+* var sy = [ 4, 4, 4, 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+* return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+* buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'complex64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+* var y = {
+* 'dtype': 'complex64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+*
+* // Apply the map function:
+* blockedmap6d( x, y, scale, {} );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 10.0
+*
+* var im = imagf( v );
+* // returns 20.0
+*/
+function blockedmap6d( x, y, fcn, thisArg ) { // eslint-disable-line max-statements
+ var bsize;
+ var xbuf;
+ var ybuf;
+ var set;
+ var get;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dx3;
+ var dx4;
+ var dx5;
+ var dy0;
+ var dy1;
+ var dy2;
+ var dy3;
+ var dy4;
+ var dy5;
+ var ox1;
+ var ox2;
+ var ox3;
+ var ox4;
+ var ox5;
+ var oy1;
+ var oy2;
+ var oy3;
+ var oy4;
+ var oy5;
+ var idx;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var S3;
+ var S4;
+ var S5;
+ var sx;
+ var sy;
+ var ox;
+ var oy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var i3;
+ var i4;
+ var i5;
+ var j0;
+ var j1;
+ var j2;
+ var j3;
+ var j4;
+ var j5;
+ var o;
+
+ // Note on variable naming convention: s#, dx#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Resolve the loop interchange order:
+ o = loopOrder( x.shape, x.strides, y.strides );
+ sh = o.sh;
+ sx = o.sx;
+ sy = o.sy;
+ idx = reverse( o.idx );
+
+ // Determine the block size:
+ bsize = blockSize( x.dtype, y.dtype );
+
+ // Cache the indices of the first indexed elements in the respective ndarrays...
+ ox = x.offset;
+ oy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Cache offset increments for the innermost loop...
+ dx0 = sx[0];
+ dy0 = sy[0];
+
+ // Cache accessors:
+ get = x.accessors[0];
+ set = y.accessors[1];
+
+ // Iterate over blocks...
+ for ( j5 = sh[5]; j5 > 0; ) {
+ if ( j5 < bsize ) {
+ S5 = j5;
+ j5 = 0;
+ } else {
+ S5 = bsize;
+ j5 -= bsize;
+ }
+ ox5 = ox + ( j5*sx[5] );
+ oy5 = oy + ( j5*sy[5] );
+ for ( j4 = sh[4]; j4 > 0; ) {
+ if ( j4 < bsize ) {
+ S4 = j4;
+ j4 = 0;
+ } else {
+ S4 = bsize;
+ j4 -= bsize;
+ }
+ dx5 = sx[5] - ( S4*sx[4] );
+ dy5 = sy[5] - ( S4*sy[4] );
+ ox4 = ox5 + ( j4*sx[4] );
+ oy4 = oy5 + ( j4*sy[4] );
+ for ( j3 = sh[3]; j3 > 0; ) {
+ if ( j3 < bsize ) {
+ S3 = j3;
+ j3 = 0;
+ } else {
+ S3 = bsize;
+ j3 -= bsize;
+ }
+ dx4 = sx[4] - ( S3*sx[3] );
+ dy4 = sy[4] - ( S3*sy[3] );
+ ox3 = ox4 + ( j3*sx[3] );
+ oy3 = oy4 + ( j3*sy[3] );
+ for ( j2 = sh[2]; j2 > 0; ) {
+ if ( j2 < bsize ) {
+ S2 = j2;
+ j2 = 0;
+ } else {
+ S2 = bsize;
+ j2 -= bsize;
+ }
+ dx3 = sx[3] - ( S2*sx[2] );
+ dy3 = sy[3] - ( S2*sy[2] );
+ ox2 = ox3 + ( j2*sx[2] );
+ oy2 = oy3 + ( j2*sy[2] );
+ for ( j1 = sh[1]; j1 > 0; ) {
+ if ( j1 < bsize ) {
+ S1 = j1;
+ j1 = 0;
+ } else {
+ S1 = bsize;
+ j1 -= bsize;
+ }
+ dx2 = sx[2] - ( S1*sx[1] );
+ dy2 = sy[2] - ( S1*sy[1] );
+ ox1 = ox2 + ( j1*sx[1] );
+ oy1 = oy2 + ( j1*sy[1] );
+ for ( j0 = sh[0]; j0 > 0; ) {
+ if ( j0 < bsize ) {
+ S0 = j0;
+ j0 = 0;
+ } else {
+ S0 = bsize;
+ j0 -= bsize;
+ }
+ // Compute index offsets for the first input and output ndarray elements in the current block...
+ ix = ox1 + ( j0*sx[0] );
+ iy = oy1 + ( j0*sy[0] );
+
+ // Compute loop offset increments...
+ dx1 = sx[1] - ( S0*sx[0] );
+ dy1 = sy[1] - ( S0*sy[0] );
+
+ // Iterate over the ndarray dimensions...
+ for ( i5 = 0; i5 < S5; i5++ ) {
+ for ( i4 = 0; i4 < S4; i4++ ) {
+ for ( i3 = 0; i3 < S3; i3++ ) {
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ set( ybuf, iy, fcn.call( thisArg, get( xbuf, ix ), take( [ i5, i4, i3, i2, i1, i0 ], idx ), x.ref ) );
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ ix += dx3;
+ iy += dy3;
+ }
+ ix += dx4;
+ iy += dy4;
+ }
+ ix += dx5;
+ iy += dy5;
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = blockedmap6d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/7d.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/7d.js
new file mode 100644
index 00000000000..017250bfaf1
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/7d.js
@@ -0,0 +1,238 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 max-depth */
+
+'use strict';
+
+// MODULES //
+
+var zeroTo = require( '@stdlib/array/base/zero-to' );
+var reverse = require( '@stdlib/array/base/reverse' );
+var take = require( '@stdlib/array/base/take-indexed' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a seven-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* function scale( z ) {
+* return z * 10.0;
+* }
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 12, 12, 12, 4, 4, 1 ];
+* var sy = [ 6, 6, 6, 6, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 1;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'float64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major'
+* };
+* var y = {
+* 'dtype': 'float64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major'
+* };
+*
+* // Apply the map function:
+* map7d( x, y, scale, {} );
+*
+* console.log( y.data );
+* // => [ 20.0, 30.0, 60.0, 70.0, 100.0, 110.0 ]
+*/
+function map7d( x, y, fcn, thisArg ) { // eslint-disable-line max-statements
+ var xbuf;
+ var ybuf;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dx3;
+ var dx4;
+ var dx5;
+ var dx6;
+ var dy0;
+ var dy1;
+ var dy2;
+ var dy3;
+ var dy4;
+ var dy5;
+ var dy6;
+ var idx;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var S3;
+ var S4;
+ var S5;
+ var S6;
+ var sx;
+ var sy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var i3;
+ var i4;
+ var i5;
+ var i6;
+
+ // Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+ sh = x.shape;
+ sx = x.strides;
+ sy = y.strides;
+ idx = zeroTo( sh.length );
+ if ( x.order === 'row-major' ) {
+ // For row-major ndarrays, the last dimensions have the fastest changing indices...
+ S0 = sh[ 6 ];
+ S1 = sh[ 5 ];
+ S2 = sh[ 4 ];
+ S3 = sh[ 3 ];
+ S4 = sh[ 2 ];
+ S5 = sh[ 1 ];
+ S6 = sh[ 0 ];
+ dx0 = sx[ 6 ]; // offset increment for innermost loop
+ dx1 = sx[ 5 ] - ( S0*sx[6] );
+ dx2 = sx[ 4 ] - ( S1*sx[5] );
+ dx3 = sx[ 3 ] - ( S2*sx[4] );
+ dx4 = sx[ 2 ] - ( S3*sx[3] );
+ dx5 = sx[ 1 ] - ( S4*sx[2] );
+ dx6 = sx[ 0 ] - ( S5*sx[1] ); // offset increment for outermost loop
+ dy0 = sy[ 6 ];
+ dy1 = sy[ 5 ] - ( S0*sy[6] );
+ dy2 = sy[ 4 ] - ( S1*sy[5] );
+ dy3 = sy[ 3 ] - ( S2*sy[4] );
+ dy4 = sy[ 2 ] - ( S3*sy[3] );
+ dy5 = sy[ 1 ] - ( S4*sy[2] );
+ dy6 = sy[ 0 ] - ( S5*sy[1] );
+ } else { // order === 'column-major'
+ // For column-major ndarrays, the first dimensions have the fastest changing indices...
+ S0 = sh[ 0 ];
+ S1 = sh[ 1 ];
+ S2 = sh[ 2 ];
+ S3 = sh[ 3 ];
+ S4 = sh[ 4 ];
+ S5 = sh[ 5 ];
+ S6 = sh[ 6 ];
+ dx0 = sx[ 0 ]; // offset increment for innermost loop
+ dx1 = sx[ 1 ] - ( S0*sx[0] );
+ dx2 = sx[ 2 ] - ( S1*sx[1] );
+ dx3 = sx[ 3 ] - ( S2*sx[2] );
+ dx4 = sx[ 4 ] - ( S3*sx[3] );
+ dx5 = sx[ 5 ] - ( S4*sx[4] );
+ dx6 = sx[ 6 ] - ( S5*sx[5] ); // offset increment for outermost loop
+ dy0 = sy[ 0 ];
+ dy1 = sy[ 1 ] - ( S0*sy[0] );
+ dy2 = sy[ 2 ] - ( S1*sy[1] );
+ dy3 = sy[ 3 ] - ( S2*sy[2] );
+ dy4 = sy[ 4 ] - ( S3*sy[3] );
+ dy5 = sy[ 5 ] - ( S4*sy[4] );
+ dy6 = sy[ 6 ] - ( S5*sy[5] );
+ idx = reverse( idx );
+ }
+ // Set the pointers to the first indexed elements in the respective ndarrays...
+ ix = x.offset;
+ iy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Iterate over the ndarray dimensions...
+ for ( i6 = 0; i6 < S6; i6++ ) {
+ for ( i5 = 0; i5 < S5; i5++ ) {
+ for ( i4 = 0; i4 < S4; i4++ ) {
+ for ( i3 = 0; i3 < S3; i3++ ) {
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ ybuf[ iy ] = fcn.call( thisArg, xbuf[ ix ], take( [ i6, i5, i4, i3, i2, i1, i0 ], idx ), x.ref ); // eslint-disable-line max-len
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ ix += dx3;
+ iy += dy3;
+ }
+ ix += dx4;
+ iy += dy4;
+ }
+ ix += dx5;
+ iy += dy5;
+ }
+ ix += dx6;
+ iy += dy6;
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = map7d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/7d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/7d_accessors.js
new file mode 100644
index 00000000000..08bd0eebb7e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/7d_accessors.js
@@ -0,0 +1,263 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 max-depth */
+
+'use strict';
+
+// MODULES //
+
+var zeroTo = require( '@stdlib/array/base/zero-to' );
+var reverse = require( '@stdlib/array/base/reverse' );
+var take = require( '@stdlib/array/base/take-indexed' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a seven-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* function scale( z ) {
+* return new Complex64( realf(z)*10.0, imagf(z)*10.0 );
+* }
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 4, 4, 4, 2, 1 ];
+* var sy = [ 4, 4, 4, 4, 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+* return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+* buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'complex64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+* var y = {
+* 'dtype': 'complex64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+*
+* // Apply the map function:
+* map7d( x, y, scale, {} );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 10.0
+*
+* var im = imagf( v );
+* // returns 20.0
+*/
+function map7d( x, y, fcn, thisArg ) { // eslint-disable-line max-statements
+ var xbuf;
+ var ybuf;
+ var get;
+ var set;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dx3;
+ var dx4;
+ var dx5;
+ var dx6;
+ var dy0;
+ var dy1;
+ var dy2;
+ var dy3;
+ var dy4;
+ var dy5;
+ var dy6;
+ var idx;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var S3;
+ var S4;
+ var S5;
+ var S6;
+ var sx;
+ var sy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var i3;
+ var i4;
+ var i5;
+ var i6;
+
+ // Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+ sh = x.shape;
+ sx = x.strides;
+ sy = y.strides;
+ idx = zeroTo( sh.length );
+ if ( x.order === 'row-major' ) {
+ // For row-major ndarrays, the last dimensions have the fastest changing indices...
+ S0 = sh[ 6 ];
+ S1 = sh[ 5 ];
+ S2 = sh[ 4 ];
+ S3 = sh[ 3 ];
+ S4 = sh[ 2 ];
+ S5 = sh[ 1 ];
+ S6 = sh[ 0 ];
+ dx0 = sx[ 6 ]; // offset increment for innermost loop
+ dx1 = sx[ 5 ] - ( S0*sx[6] );
+ dx2 = sx[ 4 ] - ( S1*sx[5] );
+ dx3 = sx[ 3 ] - ( S2*sx[4] );
+ dx4 = sx[ 2 ] - ( S3*sx[3] );
+ dx5 = sx[ 1 ] - ( S4*sx[2] );
+ dx6 = sx[ 0 ] - ( S5*sx[1] ); // offset increment for outermost loop
+ dy0 = sy[ 6 ];
+ dy1 = sy[ 5 ] - ( S0*sy[6] );
+ dy2 = sy[ 4 ] - ( S1*sy[5] );
+ dy3 = sy[ 3 ] - ( S2*sy[4] );
+ dy4 = sy[ 2 ] - ( S3*sy[3] );
+ dy5 = sy[ 1 ] - ( S4*sy[2] );
+ dy6 = sy[ 0 ] - ( S5*sy[1] );
+ } else { // order === 'column-major'
+ // For column-major ndarrays, the first dimensions have the fastest changing indices...
+ S0 = sh[ 0 ];
+ S1 = sh[ 1 ];
+ S2 = sh[ 2 ];
+ S3 = sh[ 3 ];
+ S4 = sh[ 4 ];
+ S5 = sh[ 5 ];
+ S6 = sh[ 6 ];
+ dx0 = sx[ 0 ]; // offset increment for innermost loop
+ dx1 = sx[ 1 ] - ( S0*sx[0] );
+ dx2 = sx[ 2 ] - ( S1*sx[1] );
+ dx3 = sx[ 3 ] - ( S2*sx[2] );
+ dx4 = sx[ 4 ] - ( S3*sx[3] );
+ dx5 = sx[ 5 ] - ( S4*sx[4] );
+ dx6 = sx[ 6 ] - ( S5*sx[5] ); // offset increment for outermost loop
+ dy0 = sy[ 0 ];
+ dy1 = sy[ 1 ] - ( S0*sy[0] );
+ dy2 = sy[ 2 ] - ( S1*sy[1] );
+ dy3 = sy[ 3 ] - ( S2*sy[2] );
+ dy4 = sy[ 4 ] - ( S3*sy[3] );
+ dy5 = sy[ 5 ] - ( S4*sy[4] );
+ dy6 = sy[ 6 ] - ( S5*sy[5] );
+ idx = reverse( idx );
+ }
+ // Set the pointers to the first indexed elements in the respective ndarrays...
+ ix = x.offset;
+ iy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Cache accessors:
+ get = x.accessors[ 0 ];
+ set = y.accessors[ 1 ];
+
+ // Iterate over the ndarray dimensions...
+ for ( i6 = 0; i6 < S6; i6++ ) {
+ for ( i5 = 0; i5 < S5; i5++ ) {
+ for ( i4 = 0; i4 < S4; i4++ ) {
+ for ( i3 = 0; i3 < S3; i3++ ) {
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ set( ybuf, iy, fcn.call( thisArg, get( xbuf, ix ), take( [ i6, i5, i4, i3, i2, i1, i0 ], idx ), x.ref ) ); // eslint-disable-line max-len
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ ix += dx3;
+ iy += dy3;
+ }
+ ix += dx4;
+ iy += dy4;
+ }
+ ix += dx5;
+ iy += dy5;
+ }
+ ix += dx6;
+ iy += dy6;
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = map7d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/7d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/7d_blocked.js
new file mode 100644
index 00000000000..bcb11ea4f3d
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/7d_blocked.js
@@ -0,0 +1,317 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 max-depth, max-len */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/unary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/unary-tiling-block-size' );
+var take = require( '@stdlib/array/base/take-indexed' );
+var reverse = require( '@stdlib/array/base/reverse' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a seven-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray via loop blocking.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* function scale( z ) {
+* return z * 10.0;
+* }
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 12, 12, 12, 4, 4, 1 ];
+* var sy = [ 6, 6, 6, 6, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 1;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'float64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major'
+* };
+* var y = {
+* 'dtype': 'float64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major'
+* };
+*
+* // Apply the map function:
+* blockedmap7d( x, y, scale, {} );
+*
+* console.log( y.data );
+* // => [ 20.0, 30.0, 60.0, 70.0, 100.0, 110.0 ]
+*/
+function blockedmap7d( x, y, fcn, thisArg ) { // eslint-disable-line max-statements
+ var bsize;
+ var xbuf;
+ var ybuf;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dx3;
+ var dx4;
+ var dx5;
+ var dx6;
+ var dy0;
+ var dy1;
+ var dy2;
+ var dy3;
+ var dy4;
+ var dy5;
+ var dy6;
+ var ox1;
+ var ox2;
+ var ox3;
+ var ox4;
+ var ox5;
+ var ox6;
+ var oy1;
+ var oy2;
+ var oy3;
+ var oy4;
+ var oy5;
+ var oy6;
+ var idx;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var S3;
+ var S4;
+ var S5;
+ var S6;
+ var sx;
+ var sy;
+ var ox;
+ var oy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var i3;
+ var i4;
+ var i5;
+ var i6;
+ var j0;
+ var j1;
+ var j2;
+ var j3;
+ var j4;
+ var j5;
+ var j6;
+ var o;
+
+ // Note on variable naming convention: s#, dx#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Resolve the loop interchange order:
+ o = loopOrder( x.shape, x.strides, y.strides );
+ sh = o.sh;
+ sx = o.sx;
+ sy = o.sy;
+ idx = reverse( o.idx );
+
+ // Determine the block size:
+ bsize = blockSize( x.dtype, y.dtype );
+
+ // Cache the indices of the first indexed elements in the respective ndarrays...
+ ox = x.offset;
+ oy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Cache offset increments for the innermost loop...
+ dx0 = sx[0];
+ dy0 = sy[0];
+
+ // Iterate over blocks...
+ for ( j6 = sh[6]; j6 > 0; ) {
+ if ( j6 < bsize ) {
+ S6 = j6;
+ j6 = 0;
+ } else {
+ S6 = bsize;
+ j6 -= bsize;
+ }
+ ox6 = ox + ( j6*sx[6] );
+ oy6 = oy + ( j6*sy[6] );
+ for ( j5 = sh[5]; j5 > 0; ) {
+ if ( j5 < bsize ) {
+ S5 = j5;
+ j5 = 0;
+ } else {
+ S5 = bsize;
+ j5 -= bsize;
+ }
+ dx6 = sx[6] - ( S5*sx[5] );
+ dy6 = sy[6] - ( S5*sy[5] );
+ ox5 = ox6 + ( j5*sx[5] );
+ oy5 = oy6 + ( j5*sy[5] );
+ for ( j4 = sh[4]; j4 > 0; ) {
+ if ( j4 < bsize ) {
+ S4 = j4;
+ j4 = 0;
+ } else {
+ S4 = bsize;
+ j4 -= bsize;
+ }
+ dx5 = sx[5] - ( S4*sx[4] );
+ dy5 = sy[5] - ( S4*sy[4] );
+ ox4 = ox5 + ( j4*sx[4] );
+ oy4 = oy5 + ( j4*sy[4] );
+ for ( j3 = sh[3]; j3 > 0; ) {
+ if ( j3 < bsize ) {
+ S3 = j3;
+ j3 = 0;
+ } else {
+ S3 = bsize;
+ j3 -= bsize;
+ }
+ dx4 = sx[4] - ( S3*sx[3] );
+ dy4 = sy[4] - ( S3*sy[3] );
+ ox3 = ox4 + ( j3*sx[3] );
+ oy3 = oy4 + ( j3*sy[3] );
+ for ( j2 = sh[2]; j2 > 0; ) {
+ if ( j2 < bsize ) {
+ S2 = j2;
+ j2 = 0;
+ } else {
+ S2 = bsize;
+ j2 -= bsize;
+ }
+ dx3 = sx[3] - ( S2*sx[2] );
+ dy3 = sy[3] - ( S2*sy[2] );
+ ox2 = ox3 + ( j2*sx[2] );
+ oy2 = oy3 + ( j2*sy[2] );
+ for ( j1 = sh[1]; j1 > 0; ) {
+ if ( j1 < bsize ) {
+ S1 = j1;
+ j1 = 0;
+ } else {
+ S1 = bsize;
+ j1 -= bsize;
+ }
+ dx2 = sx[2] - ( S1*sx[1] );
+ dy2 = sy[2] - ( S1*sy[1] );
+ ox1 = ox2 + ( j1*sx[1] );
+ oy1 = oy2 + ( j1*sy[1] );
+ for ( j0 = sh[0]; j0 > 0; ) {
+ if ( j0 < bsize ) {
+ S0 = j0;
+ j0 = 0;
+ } else {
+ S0 = bsize;
+ j0 -= bsize;
+ }
+ // Compute index offsets for the first input and output ndarray elements in the current block...
+ ix = ox1 + ( j0*sx[0] );
+ iy = oy1 + ( j0*sy[0] );
+
+ // Compute loop offset increments...
+ dx1 = sx[1] - ( S0*sx[0] );
+ dy1 = sy[1] - ( S0*sy[0] );
+
+ // Iterate over the ndarray dimensions...
+ for ( i6 = 0; i6 < S6; i6++ ) {
+ for ( i5 = 0; i5 < S5; i5++ ) {
+ for ( i4 = 0; i4 < S4; i4++ ) {
+ for ( i3 = 0; i3 < S3; i3++ ) {
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ ybuf[ iy ] = fcn.call( thisArg, xbuf[ ix ], take( [ i6, i5, i4, i3, i2, i1, i0 ], idx ), x.ref );
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ ix += dx3;
+ iy += dy3;
+ }
+ ix += dx4;
+ iy += dy4;
+ }
+ ix += dx5;
+ iy += dy5;
+ }
+ ix += dx6;
+ iy += dy6;
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = blockedmap7d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/7d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/7d_blocked_accessors.js
new file mode 100644
index 00000000000..b854809def9
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/7d_blocked_accessors.js
@@ -0,0 +1,342 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 max-depth, max-len */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/unary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/unary-tiling-block-size' );
+var take = require( '@stdlib/array/base/take-indexed' );
+var reverse = require( '@stdlib/array/base/reverse' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a seven-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray via loop blocking.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* function scale( z ) {
+* return new Complex64( realf(z)*10.0, imagf(z)*10.0 );
+* }
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 4, 4, 4, 2, 1 ];
+* var sy = [ 4, 4, 4, 4, 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+* return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+* buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'complex64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+* var y = {
+* 'dtype': 'complex64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+*
+* // Apply the map function:
+* blockedmap7d( x, y, scale, {} );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 10.0
+*
+* var im = imagf( v );
+* // returns 20.0
+*/
+function blockedmap7d( x, y, fcn, thisArg ) { // eslint-disable-line max-statements
+ var bsize;
+ var xbuf;
+ var ybuf;
+ var get;
+ var set;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dx3;
+ var dx4;
+ var dx5;
+ var dx6;
+ var dy0;
+ var dy1;
+ var dy2;
+ var dy3;
+ var dy4;
+ var dy5;
+ var dy6;
+ var ox1;
+ var ox2;
+ var ox3;
+ var ox4;
+ var ox5;
+ var ox6;
+ var oy1;
+ var oy2;
+ var oy3;
+ var oy4;
+ var oy5;
+ var oy6;
+ var idx;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var S3;
+ var S4;
+ var S5;
+ var S6;
+ var sx;
+ var sy;
+ var ox;
+ var oy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var i3;
+ var i4;
+ var i5;
+ var i6;
+ var j0;
+ var j1;
+ var j2;
+ var j3;
+ var j4;
+ var j5;
+ var j6;
+ var o;
+
+ // Note on variable naming convention: s#, dx#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Resolve the loop interchange order:
+ o = loopOrder( x.shape, x.strides, y.strides );
+ sh = o.sh;
+ sx = o.sx;
+ sy = o.sy;
+ idx = reverse( o.idx );
+
+ // Determine the block size:
+ bsize = blockSize( x.dtype, y.dtype );
+
+ // Cache the indices of the first indexed elements in the respective ndarrays...
+ ox = x.offset;
+ oy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Cache offset increments for the innermost loop...
+ dx0 = sx[0];
+ dy0 = sy[0];
+
+ // Cache accessors:
+ get = x.accessors[0];
+ set = y.accessors[1];
+
+ // Iterate over blocks...
+ for ( j6 = sh[6]; j6 > 0; ) {
+ if ( j6 < bsize ) {
+ S6 = j6;
+ j6 = 0;
+ } else {
+ S6 = bsize;
+ j6 -= bsize;
+ }
+ ox6 = ox + ( j6*sx[6] );
+ oy6 = oy + ( j6*sy[6] );
+ for ( j5 = sh[5]; j5 > 0; ) {
+ if ( j5 < bsize ) {
+ S5 = j5;
+ j5 = 0;
+ } else {
+ S5 = bsize;
+ j5 -= bsize;
+ }
+ dx6 = sx[6] - ( S5*sx[5] );
+ dy6 = sy[6] - ( S5*sy[5] );
+ ox5 = ox6 + ( j5*sx[5] );
+ oy5 = oy6 + ( j5*sy[5] );
+ for ( j4 = sh[4]; j4 > 0; ) {
+ if ( j4 < bsize ) {
+ S4 = j4;
+ j4 = 0;
+ } else {
+ S4 = bsize;
+ j4 -= bsize;
+ }
+ dx5 = sx[5] - ( S4*sx[4] );
+ dy5 = sy[5] - ( S4*sy[4] );
+ ox4 = ox5 + ( j4*sx[4] );
+ oy4 = oy5 + ( j4*sy[4] );
+ for ( j3 = sh[3]; j3 > 0; ) {
+ if ( j3 < bsize ) {
+ S3 = j3;
+ j3 = 0;
+ } else {
+ S3 = bsize;
+ j3 -= bsize;
+ }
+ dx4 = sx[4] - ( S3*sx[3] );
+ dy4 = sy[4] - ( S3*sy[3] );
+ ox3 = ox4 + ( j3*sx[3] );
+ oy3 = oy4 + ( j3*sy[3] );
+ for ( j2 = sh[2]; j2 > 0; ) {
+ if ( j2 < bsize ) {
+ S2 = j2;
+ j2 = 0;
+ } else {
+ S2 = bsize;
+ j2 -= bsize;
+ }
+ dx3 = sx[3] - ( S2*sx[2] );
+ dy3 = sy[3] - ( S2*sy[2] );
+ ox2 = ox3 + ( j2*sx[2] );
+ oy2 = oy3 + ( j2*sy[2] );
+ for ( j1 = sh[1]; j1 > 0; ) {
+ if ( j1 < bsize ) {
+ S1 = j1;
+ j1 = 0;
+ } else {
+ S1 = bsize;
+ j1 -= bsize;
+ }
+ dx2 = sx[2] - ( S1*sx[1] );
+ dy2 = sy[2] - ( S1*sy[1] );
+ ox1 = ox2 + ( j1*sx[1] );
+ oy1 = oy2 + ( j1*sy[1] );
+ for ( j0 = sh[0]; j0 > 0; ) {
+ if ( j0 < bsize ) {
+ S0 = j0;
+ j0 = 0;
+ } else {
+ S0 = bsize;
+ j0 -= bsize;
+ }
+ // Compute index offsets for the first input and output ndarray elements in the current block...
+ ix = ox1 + ( j0*sx[0] );
+ iy = oy1 + ( j0*sy[0] );
+
+ // Compute loop offset increments...
+ dx1 = sx[1] - ( S0*sx[0] );
+ dy1 = sy[1] - ( S0*sy[0] );
+
+ // Iterate over the ndarray dimensions...
+ for ( i6 = 0; i6 < S6; i6++ ) {
+ for ( i5 = 0; i5 < S5; i5++ ) {
+ for ( i4 = 0; i4 < S4; i4++ ) {
+ for ( i3 = 0; i3 < S3; i3++ ) {
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ set( ybuf, iy, fcn.call( thisArg, get( xbuf, ix ), take( [ i6, i5, i4, i3, i2, i1, i0 ], idx ), x.ref ) );
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ ix += dx3;
+ iy += dy3;
+ }
+ ix += dx4;
+ iy += dy4;
+ }
+ ix += dx5;
+ iy += dy5;
+ }
+ ix += dx6;
+ iy += dy6;
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = blockedmap7d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/8d.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/8d.js
new file mode 100644
index 00000000000..d7cf1210854
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/8d.js
@@ -0,0 +1,252 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 max-depth */
+
+'use strict';
+
+// MODULES //
+
+var zeroTo = require( '@stdlib/array/base/zero-to' );
+var reverse = require( '@stdlib/array/base/reverse' );
+var take = require( '@stdlib/array/base/take-indexed' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in an eight-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* function scale( z ) {
+* return z * 10.0;
+* }
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 12, 12, 12, 12, 4, 4, 1 ];
+* var sy = [ 6, 6, 6, 6, 6, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 1;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'float64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major'
+* };
+* var y = {
+* 'dtype': 'float64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major'
+* };
+*
+* // Apply the map function:
+* map8d( x, y, scale, {} );
+*
+* console.log( y.data );
+* // => [ 20.0, 30.0, 60.0, 70.0, 100.0, 110.0 ]
+*/
+function map8d( x, y, fcn, thisArg ) { // eslint-disable-line max-statements
+ var xbuf;
+ var ybuf;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dx3;
+ var dx4;
+ var dx5;
+ var dx6;
+ var dx7;
+ var dy0;
+ var dy1;
+ var dy2;
+ var dy3;
+ var dy4;
+ var dy5;
+ var dy6;
+ var dy7;
+ var idx;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var S3;
+ var S4;
+ var S5;
+ var S6;
+ var S7;
+ var sx;
+ var sy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var i3;
+ var i4;
+ var i5;
+ var i6;
+ var i7;
+
+ // Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+ sh = x.shape;
+ sx = x.strides;
+ sy = y.strides;
+ idx = zeroTo( sh.length );
+ if ( x.order === 'row-major' ) {
+ // For row-major ndarrays, the last dimensions have the fastest changing indices...
+ S0 = sh[ 7 ];
+ S1 = sh[ 6 ];
+ S2 = sh[ 5 ];
+ S3 = sh[ 4 ];
+ S4 = sh[ 3 ];
+ S5 = sh[ 2 ];
+ S6 = sh[ 1 ];
+ S7 = sh[ 0 ];
+ dx0 = sx[ 7 ]; // offset increment for innermost loop
+ dx1 = sx[ 6 ] - ( S0*sx[7] );
+ dx2 = sx[ 5 ] - ( S1*sx[6] );
+ dx3 = sx[ 4 ] - ( S2*sx[5] );
+ dx4 = sx[ 3 ] - ( S3*sx[4] );
+ dx5 = sx[ 2 ] - ( S4*sx[3] );
+ dx6 = sx[ 1 ] - ( S5*sx[2] );
+ dx7 = sx[ 0 ] - ( S6*sx[1] ); // offset increment for outermost loop
+ dy0 = sy[ 7 ];
+ dy1 = sy[ 6 ] - ( S0*sy[7] );
+ dy2 = sy[ 5 ] - ( S1*sy[6] );
+ dy3 = sy[ 4 ] - ( S2*sy[5] );
+ dy4 = sy[ 3 ] - ( S3*sy[4] );
+ dy5 = sy[ 2 ] - ( S4*sy[3] );
+ dy6 = sy[ 1 ] - ( S5*sy[2] );
+ dy7 = sy[ 0 ] - ( S6*sy[1] );
+ } else { // order === 'column-major'
+ // For column-major ndarrays, the first dimensions have the fastest changing indices...
+ S0 = sh[ 0 ];
+ S1 = sh[ 1 ];
+ S2 = sh[ 2 ];
+ S3 = sh[ 3 ];
+ S4 = sh[ 4 ];
+ S5 = sh[ 5 ];
+ S6 = sh[ 6 ];
+ S7 = sh[ 7 ];
+ dx0 = sx[ 0 ]; // offset increment for innermost loop
+ dx1 = sx[ 1 ] - ( S0*sx[0] );
+ dx2 = sx[ 2 ] - ( S1*sx[1] );
+ dx3 = sx[ 3 ] - ( S2*sx[2] );
+ dx4 = sx[ 4 ] - ( S3*sx[3] );
+ dx5 = sx[ 5 ] - ( S4*sx[4] );
+ dx6 = sx[ 6 ] - ( S5*sx[5] );
+ dx7 = sx[ 7 ] - ( S6*sx[6] ); // offset increment for outermost loop
+ dy0 = sy[ 0 ];
+ dy1 = sy[ 1 ] - ( S0*sy[0] );
+ dy2 = sy[ 2 ] - ( S1*sy[1] );
+ dy3 = sy[ 3 ] - ( S2*sy[2] );
+ dy4 = sy[ 4 ] - ( S3*sy[3] );
+ dy5 = sy[ 5 ] - ( S4*sy[4] );
+ dy6 = sy[ 6 ] - ( S5*sy[5] );
+ dy7 = sy[ 7 ] - ( S6*sy[6] );
+ idx = reverse( idx );
+ }
+ // Set the pointers to the first indexed elements in the respective ndarrays...
+ ix = x.offset;
+ iy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Iterate over the ndarray dimensions...
+ for ( i7 = 0; i7 < S7; i7++ ) {
+ for ( i6 = 0; i6 < S6; i6++ ) {
+ for ( i5 = 0; i5 < S5; i5++ ) {
+ for ( i4 = 0; i4 < S4; i4++ ) {
+ for ( i3 = 0; i3 < S3; i3++ ) {
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ ybuf[ iy ] = fcn.call( thisArg, xbuf[ ix ], take( [ i7, i6, i5, i4, i3, i2, i1, i0 ], idx ), x.ref ); // eslint-disable-line max-len
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ ix += dx3;
+ iy += dy3;
+ }
+ ix += dx4;
+ iy += dy4;
+ }
+ ix += dx5;
+ iy += dy5;
+ }
+ ix += dx6;
+ iy += dy6;
+ }
+ ix += dx7;
+ iy += dy7;
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = map8d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/8d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/8d_accessors.js
new file mode 100644
index 00000000000..606afa9217a
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/8d_accessors.js
@@ -0,0 +1,277 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 max-depth */
+
+'use strict';
+
+// MODULES //
+
+var zeroTo = require( '@stdlib/array/base/zero-to' );
+var reverse = require( '@stdlib/array/base/reverse' );
+var take = require( '@stdlib/array/base/take-indexed' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in an eight-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* function scale( z ) {
+* return new Complex64( realf(z)*10.0, imagf(z)*10.0 );
+* }
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 1, 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 4, 4, 4, 4, 2, 1 ];
+* var sy = [ 4, 4, 4, 4, 4, 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+* return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+* buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'complex64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+* var y = {
+* 'dtype': 'complex64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+*
+* // Apply the map function:
+* map8d( x, y, scale, {} );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 10.0
+*
+* var im = imagf( v );
+* // returns 20.0
+*/
+function map8d( x, y, fcn, thisArg ) { // eslint-disable-line max-statements
+ var xbuf;
+ var ybuf;
+ var get;
+ var set;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dx3;
+ var dx4;
+ var dx5;
+ var dx6;
+ var dx7;
+ var dy0;
+ var dy1;
+ var dy2;
+ var dy3;
+ var dy4;
+ var dy5;
+ var dy6;
+ var dy7;
+ var idx;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var S3;
+ var S4;
+ var S5;
+ var S6;
+ var S7;
+ var sx;
+ var sy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var i3;
+ var i4;
+ var i5;
+ var i6;
+ var i7;
+
+ // Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+ sh = x.shape;
+ sx = x.strides;
+ sy = y.strides;
+ idx = zeroTo( sh.length );
+ if ( x.order === 'row-major' ) {
+ // For row-major ndarrays, the last dimensions have the fastest changing indices...
+ S0 = sh[ 7 ];
+ S1 = sh[ 6 ];
+ S2 = sh[ 5 ];
+ S3 = sh[ 4 ];
+ S4 = sh[ 3 ];
+ S5 = sh[ 2 ];
+ S6 = sh[ 1 ];
+ S7 = sh[ 0 ];
+ dx0 = sx[ 7 ]; // offset increment for innermost loop
+ dx1 = sx[ 6 ] - ( S0*sx[7] );
+ dx2 = sx[ 5 ] - ( S1*sx[6] );
+ dx3 = sx[ 4 ] - ( S2*sx[5] );
+ dx4 = sx[ 3 ] - ( S3*sx[4] );
+ dx5 = sx[ 2 ] - ( S4*sx[3] );
+ dx6 = sx[ 1 ] - ( S5*sx[2] );
+ dx7 = sx[ 0 ] - ( S6*sx[1] ); // offset increment for outermost loop
+ dy0 = sy[ 7 ];
+ dy1 = sy[ 6 ] - ( S0*sy[7] );
+ dy2 = sy[ 5 ] - ( S1*sy[6] );
+ dy3 = sy[ 4 ] - ( S2*sy[5] );
+ dy4 = sy[ 3 ] - ( S3*sy[4] );
+ dy5 = sy[ 2 ] - ( S4*sy[3] );
+ dy6 = sy[ 1 ] - ( S5*sy[2] );
+ dy7 = sy[ 0 ] - ( S6*sy[1] );
+ } else { // order === 'column-major'
+ // For column-major ndarrays, the first dimensions have the fastest changing indices...
+ S0 = sh[ 0 ];
+ S1 = sh[ 1 ];
+ S2 = sh[ 2 ];
+ S3 = sh[ 3 ];
+ S4 = sh[ 4 ];
+ S5 = sh[ 5 ];
+ S6 = sh[ 6 ];
+ S7 = sh[ 7 ];
+ dx0 = sx[ 0 ]; // offset increment for innermost loop
+ dx1 = sx[ 1 ] - ( S0*sx[0] );
+ dx2 = sx[ 2 ] - ( S1*sx[1] );
+ dx3 = sx[ 3 ] - ( S2*sx[2] );
+ dx4 = sx[ 4 ] - ( S3*sx[3] );
+ dx5 = sx[ 5 ] - ( S4*sx[4] );
+ dx6 = sx[ 6 ] - ( S5*sx[5] );
+ dx7 = sx[ 7 ] - ( S6*sx[6] ); // offset increment for outermost loop
+ dy0 = sy[ 0 ];
+ dy1 = sy[ 1 ] - ( S0*sy[0] );
+ dy2 = sy[ 2 ] - ( S1*sy[1] );
+ dy3 = sy[ 3 ] - ( S2*sy[2] );
+ dy4 = sy[ 4 ] - ( S3*sy[3] );
+ dy5 = sy[ 5 ] - ( S4*sy[4] );
+ dy6 = sy[ 6 ] - ( S5*sy[5] );
+ dy7 = sy[ 7 ] - ( S6*sy[6] );
+ idx = reverse( idx );
+ }
+ // Set the pointers to the first indexed elements in the respective ndarrays...
+ ix = x.offset;
+ iy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Cache accessors:
+ get = x.accessors[ 0 ];
+ set = y.accessors[ 1 ];
+
+ // Iterate over the ndarray dimensions...
+ for ( i7 = 0; i7 < S7; i7++ ) {
+ for ( i6 = 0; i6 < S6; i6++ ) {
+ for ( i5 = 0; i5 < S5; i5++ ) {
+ for ( i4 = 0; i4 < S4; i4++ ) {
+ for ( i3 = 0; i3 < S3; i3++ ) {
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ set( ybuf, iy, fcn.call( thisArg, get( xbuf, ix ), take( [ i7, i6, i5, i4, i3, i2, i1, i0 ], idx ), x.ref ) ); // eslint-disable-line max-len
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ ix += dx3;
+ iy += dy3;
+ }
+ ix += dx4;
+ iy += dy4;
+ }
+ ix += dx5;
+ iy += dy5;
+ }
+ ix += dx6;
+ iy += dy6;
+ }
+ ix += dx7;
+ iy += dy7;
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = map8d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/8d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/8d_blocked.js
new file mode 100644
index 00000000000..55b0681443b
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/8d_blocked.js
@@ -0,0 +1,341 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 max-depth, max-len */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/unary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/unary-tiling-block-size' );
+var take = require( '@stdlib/array/base/take-indexed' );
+var reverse = require( '@stdlib/array/base/reverse' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in an eight-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray via loop blocking.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* function scale( z ) {
+* return z * 10.0;
+* }
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 12, 12, 12, 12, 4, 4, 1 ];
+* var sy = [ 6, 6, 6, 6, 6, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 1;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'float64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major'
+* };
+* var y = {
+* 'dtype': 'float64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major'
+* };
+*
+* // Apply the map function:
+* blockedmap8d( x, y, scale, {} );
+*
+* console.log( y.data );
+* // => [ 20.0, 30.0, 60.0, 70.0, 100.0, 110.0 ]
+*/
+function blockedmap8d( x, y, fcn, thisArg ) { // eslint-disable-line max-statements, max-lines-per-function
+ var bsize;
+ var xbuf;
+ var ybuf;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dx3;
+ var dx4;
+ var dx5;
+ var dx6;
+ var dx7;
+ var dy0;
+ var dy1;
+ var dy2;
+ var dy3;
+ var dy4;
+ var dy5;
+ var dy6;
+ var dy7;
+ var ox1;
+ var ox2;
+ var ox3;
+ var ox4;
+ var ox5;
+ var ox6;
+ var ox7;
+ var oy1;
+ var oy2;
+ var oy3;
+ var oy4;
+ var oy5;
+ var oy6;
+ var oy7;
+ var idx;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var S3;
+ var S4;
+ var S5;
+ var S6;
+ var S7;
+ var sx;
+ var sy;
+ var ox;
+ var oy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var i3;
+ var i4;
+ var i5;
+ var i6;
+ var i7;
+ var j0;
+ var j1;
+ var j2;
+ var j3;
+ var j4;
+ var j5;
+ var j6;
+ var j7;
+ var o;
+
+ // Note on variable naming convention: s#, dx#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Resolve the loop interchange order:
+ o = loopOrder( x.shape, x.strides, y.strides );
+ sh = o.sh;
+ sx = o.sx;
+ sy = o.sy;
+ idx = reverse( o.idx );
+
+ // Determine the block size:
+ bsize = blockSize( x.dtype, y.dtype );
+
+ // Cache the indices of the first indexed elements in the respective ndarrays...
+ ox = x.offset;
+ oy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Cache offset increments for the innermost loop...
+ dx0 = sx[0];
+ dy0 = sy[0];
+
+ // Iterate over blocks...
+ for ( j7 = sh[7]; j7 > 0; ) {
+ if ( j7 < bsize ) {
+ S7 = j7;
+ j7 = 0;
+ } else {
+ S7 = bsize;
+ j7 -= bsize;
+ }
+ ox7 = ox + ( j7*sx[7] );
+ oy7 = oy + ( j7*sy[7] );
+ for ( j6 = sh[6]; j6 > 0; ) {
+ if ( j6 < bsize ) {
+ S6 = j6;
+ j6 = 0;
+ } else {
+ S6 = bsize;
+ j6 -= bsize;
+ }
+ dx7 = sx[7] - ( S6*sx[6] );
+ dy7 = sy[7] - ( S6*sy[6] );
+ ox6 = ox7 + ( j6*sx[6] );
+ oy6 = oy7 + ( j6*sy[6] );
+ for ( j5 = sh[5]; j5 > 0; ) {
+ if ( j5 < bsize ) {
+ S5 = j5;
+ j5 = 0;
+ } else {
+ S5 = bsize;
+ j5 -= bsize;
+ }
+ dx6 = sx[6] - ( S5*sx[5] );
+ dy6 = sy[6] - ( S5*sy[5] );
+ ox5 = ox6 + ( j5*sx[5] );
+ oy5 = oy6 + ( j5*sy[5] );
+ for ( j4 = sh[4]; j4 > 0; ) {
+ if ( j4 < bsize ) {
+ S4 = j4;
+ j4 = 0;
+ } else {
+ S4 = bsize;
+ j4 -= bsize;
+ }
+ dx5 = sx[5] - ( S4*sx[4] );
+ dy5 = sy[5] - ( S4*sy[4] );
+ ox4 = ox5 + ( j4*sx[4] );
+ oy4 = oy5 + ( j4*sy[4] );
+ for ( j3 = sh[3]; j3 > 0; ) {
+ if ( j3 < bsize ) {
+ S3 = j3;
+ j3 = 0;
+ } else {
+ S3 = bsize;
+ j3 -= bsize;
+ }
+ dx4 = sx[4] - ( S3*sx[3] );
+ dy4 = sy[4] - ( S3*sy[3] );
+ ox3 = ox4 + ( j3*sx[3] );
+ oy3 = oy4 + ( j3*sy[3] );
+ for ( j2 = sh[2]; j2 > 0; ) {
+ if ( j2 < bsize ) {
+ S2 = j2;
+ j2 = 0;
+ } else {
+ S2 = bsize;
+ j2 -= bsize;
+ }
+ dx3 = sx[3] - ( S2*sx[2] );
+ dy3 = sy[3] - ( S2*sy[2] );
+ ox2 = ox3 + ( j2*sx[2] );
+ oy2 = oy3 + ( j2*sy[2] );
+ for ( j1 = sh[1]; j1 > 0; ) {
+ if ( j1 < bsize ) {
+ S1 = j1;
+ j1 = 0;
+ } else {
+ S1 = bsize;
+ j1 -= bsize;
+ }
+ dx2 = sx[2] - ( S1*sx[1] );
+ dy2 = sy[2] - ( S1*sy[1] );
+ ox1 = ox2 + ( j1*sx[1] );
+ oy1 = oy2 + ( j1*sy[1] );
+ for ( j0 = sh[0]; j0 > 0; ) {
+ if ( j0 < bsize ) {
+ S0 = j0;
+ j0 = 0;
+ } else {
+ S0 = bsize;
+ j0 -= bsize;
+ }
+ // Compute index offsets for the first input and output ndarray elements in the current block...
+ ix = ox1 + ( j0*sx[0] );
+ iy = oy1 + ( j0*sy[0] );
+
+ // Compute loop offset increments...
+ dx1 = sx[1] - ( S0*sx[0] );
+ dy1 = sy[1] - ( S0*sy[0] );
+
+ // Iterate over the ndarray dimensions...
+ for ( i7 = 0; i7 < S7; i7++ ) {
+ for ( i6 = 0; i6 < S6; i6++ ) {
+ for ( i5 = 0; i5 < S5; i5++ ) {
+ for ( i4 = 0; i4 < S4; i4++ ) {
+ for ( i3 = 0; i3 < S3; i3++ ) {
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ ybuf[ iy ] = fcn.call( thisArg, xbuf[ ix ], take( [ i7, i6, i5, i4, i3, i2, i1, i0 ], idx ), x.ref );
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ ix += dx3;
+ iy += dy3;
+ }
+ ix += dx4;
+ iy += dy4;
+ }
+ ix += dx5;
+ iy += dy5;
+ }
+ ix += dx6;
+ iy += dy6;
+ }
+ ix += dx7;
+ iy += dy7;
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = blockedmap8d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/8d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/8d_blocked_accessors.js
new file mode 100644
index 00000000000..9dc4a09e8b0
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/8d_blocked_accessors.js
@@ -0,0 +1,366 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 max-depth, max-len */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/unary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/unary-tiling-block-size' );
+var take = require( '@stdlib/array/base/take-indexed' );
+var reverse = require( '@stdlib/array/base/reverse' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in an eight-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray via loop blocking.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* function scale( z ) {
+* return new Complex64( realf(z)*10.0, imagf(z)*10.0 );
+* }
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 1, 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 4, 4, 4, 4, 2, 1 ];
+* var sy = [ 4, 4, 4, 4, 4, 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+* return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+* buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'complex64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+* var y = {
+* 'dtype': 'complex64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+*
+* // Apply the map function:
+* blockedmap8d( x, y, scale, {} );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 10.0
+*
+* var im = imagf( v );
+* // returns 20.0
+*/
+function blockedmap8d( x, y, fcn, thisArg ) { // eslint-disable-line max-statements, max-lines-per-function
+ var bsize;
+ var xbuf;
+ var ybuf;
+ var get;
+ var set;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dx3;
+ var dx4;
+ var dx5;
+ var dx6;
+ var dx7;
+ var dy0;
+ var dy1;
+ var dy2;
+ var dy3;
+ var dy4;
+ var dy5;
+ var dy6;
+ var dy7;
+ var ox1;
+ var ox2;
+ var ox3;
+ var ox4;
+ var ox5;
+ var ox6;
+ var ox7;
+ var oy1;
+ var oy2;
+ var oy3;
+ var oy4;
+ var oy5;
+ var oy6;
+ var oy7;
+ var idx;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var S3;
+ var S4;
+ var S5;
+ var S6;
+ var S7;
+ var sx;
+ var sy;
+ var ox;
+ var oy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var i3;
+ var i4;
+ var i5;
+ var i6;
+ var i7;
+ var j0;
+ var j1;
+ var j2;
+ var j3;
+ var j4;
+ var j5;
+ var j6;
+ var j7;
+ var o;
+
+ // Note on variable naming convention: s#, dx#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Resolve the loop interchange order:
+ o = loopOrder( x.shape, x.strides, y.strides );
+ sh = o.sh;
+ sx = o.sx;
+ sy = o.sy;
+ idx = reverse( o.idx );
+
+ // Determine the block size:
+ bsize = blockSize( x.dtype, y.dtype );
+
+ // Cache the indices of the first indexed elements in the respective ndarrays...
+ ox = x.offset;
+ oy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Cache offset increments for the innermost loop...
+ dx0 = sx[0];
+ dy0 = sy[0];
+
+ // Cache accessors:
+ get = x.accessors[0];
+ set = y.accessors[1];
+
+ // Iterate over blocks...
+ for ( j7 = sh[7]; j7 > 0; ) {
+ if ( j7 < bsize ) {
+ S7 = j7;
+ j7 = 0;
+ } else {
+ S7 = bsize;
+ j7 -= bsize;
+ }
+ ox7 = ox + ( j7*sx[7] );
+ oy7 = oy + ( j7*sy[7] );
+ for ( j6 = sh[6]; j6 > 0; ) {
+ if ( j6 < bsize ) {
+ S6 = j6;
+ j6 = 0;
+ } else {
+ S6 = bsize;
+ j6 -= bsize;
+ }
+ dx7 = sx[7] - ( S6*sx[6] );
+ dy7 = sy[7] - ( S6*sy[6] );
+ ox6 = ox7 + ( j6*sx[6] );
+ oy6 = oy7 + ( j6*sy[6] );
+ for ( j5 = sh[5]; j5 > 0; ) {
+ if ( j5 < bsize ) {
+ S5 = j5;
+ j5 = 0;
+ } else {
+ S5 = bsize;
+ j5 -= bsize;
+ }
+ dx6 = sx[6] - ( S5*sx[5] );
+ dy6 = sy[6] - ( S5*sy[5] );
+ ox5 = ox6 + ( j5*sx[5] );
+ oy5 = oy6 + ( j5*sy[5] );
+ for ( j4 = sh[4]; j4 > 0; ) {
+ if ( j4 < bsize ) {
+ S4 = j4;
+ j4 = 0;
+ } else {
+ S4 = bsize;
+ j4 -= bsize;
+ }
+ dx5 = sx[5] - ( S4*sx[4] );
+ dy5 = sy[5] - ( S4*sy[4] );
+ ox4 = ox5 + ( j4*sx[4] );
+ oy4 = oy5 + ( j4*sy[4] );
+ for ( j3 = sh[3]; j3 > 0; ) {
+ if ( j3 < bsize ) {
+ S3 = j3;
+ j3 = 0;
+ } else {
+ S3 = bsize;
+ j3 -= bsize;
+ }
+ dx4 = sx[4] - ( S3*sx[3] );
+ dy4 = sy[4] - ( S3*sy[3] );
+ ox3 = ox4 + ( j3*sx[3] );
+ oy3 = oy4 + ( j3*sy[3] );
+ for ( j2 = sh[2]; j2 > 0; ) {
+ if ( j2 < bsize ) {
+ S2 = j2;
+ j2 = 0;
+ } else {
+ S2 = bsize;
+ j2 -= bsize;
+ }
+ dx3 = sx[3] - ( S2*sx[2] );
+ dy3 = sy[3] - ( S2*sy[2] );
+ ox2 = ox3 + ( j2*sx[2] );
+ oy2 = oy3 + ( j2*sy[2] );
+ for ( j1 = sh[1]; j1 > 0; ) {
+ if ( j1 < bsize ) {
+ S1 = j1;
+ j1 = 0;
+ } else {
+ S1 = bsize;
+ j1 -= bsize;
+ }
+ dx2 = sx[2] - ( S1*sx[1] );
+ dy2 = sy[2] - ( S1*sy[1] );
+ ox1 = ox2 + ( j1*sx[1] );
+ oy1 = oy2 + ( j1*sy[1] );
+ for ( j0 = sh[0]; j0 > 0; ) {
+ if ( j0 < bsize ) {
+ S0 = j0;
+ j0 = 0;
+ } else {
+ S0 = bsize;
+ j0 -= bsize;
+ }
+ // Compute index offsets for the first input and output ndarray elements in the current block...
+ ix = ox1 + ( j0*sx[0] );
+ iy = oy1 + ( j0*sy[0] );
+
+ // Compute loop offset increments...
+ dx1 = sx[1] - ( S0*sx[0] );
+ dy1 = sy[1] - ( S0*sy[0] );
+
+ // Iterate over the ndarray dimensions...
+ for ( i7 = 0; i7 < S7; i7++ ) {
+ for ( i6 = 0; i6 < S6; i6++ ) {
+ for ( i5 = 0; i5 < S5; i5++ ) {
+ for ( i4 = 0; i4 < S4; i4++ ) {
+ for ( i3 = 0; i3 < S3; i3++ ) {
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ set( ybuf, iy, fcn.call( thisArg, get( xbuf, ix ), take( [ i7, i6, i5, i4, i3, i2, i1, i0 ], idx ), x.ref ) );
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ ix += dx3;
+ iy += dy3;
+ }
+ ix += dx4;
+ iy += dy4;
+ }
+ ix += dx5;
+ iy += dy5;
+ }
+ ix += dx6;
+ iy += dy6;
+ }
+ ix += dx7;
+ iy += dy7;
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = blockedmap8d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/9d.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/9d.js
new file mode 100644
index 00000000000..a062d0fb3e5
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/9d.js
@@ -0,0 +1,266 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 max-depth */
+
+'use strict';
+
+// MODULES //
+
+var zeroTo = require( '@stdlib/array/base/zero-to' );
+var reverse = require( '@stdlib/array/base/reverse' );
+var take = require( '@stdlib/array/base/take-indexed' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a nine-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* function scale( z ) {
+* return z * 10.0;
+* }
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 12, 12, 12, 12, 12, 4, 4, 1 ];
+* var sy = [ 6, 6, 6, 6, 6, 6, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 1;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'float64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major'
+* };
+* var y = {
+* 'dtype': 'float64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major'
+* };
+*
+* // Apply the map function:
+* map9d( x, y, scale, {} );
+*
+* console.log( y.data );
+* // => [ 20.0, 30.0, 60.0, 70.0, 100.0, 110.0 ]
+*/
+function map9d( x, y, fcn, thisArg ) { // eslint-disable-line max-statements
+ var xbuf;
+ var ybuf;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dx3;
+ var dx4;
+ var dx5;
+ var dx6;
+ var dx7;
+ var dx8;
+ var dy0;
+ var dy1;
+ var dy2;
+ var dy3;
+ var dy4;
+ var dy5;
+ var dy6;
+ var dy7;
+ var dy8;
+ var idx;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var S3;
+ var S4;
+ var S5;
+ var S6;
+ var S7;
+ var S8;
+ var sx;
+ var sy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var i3;
+ var i4;
+ var i5;
+ var i6;
+ var i7;
+ var i8;
+
+ // Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+ sh = x.shape;
+ sx = x.strides;
+ sy = y.strides;
+ idx = zeroTo( sh.length );
+ if ( x.order === 'row-major' ) {
+ // For row-major ndarrays, the last dimensions have the fastest changing indices...
+ S0 = sh[ 8 ];
+ S1 = sh[ 7 ];
+ S2 = sh[ 6 ];
+ S3 = sh[ 5 ];
+ S4 = sh[ 4 ];
+ S5 = sh[ 3 ];
+ S6 = sh[ 2 ];
+ S7 = sh[ 1 ];
+ S8 = sh[ 0 ];
+ dx0 = sx[ 8 ]; // offset increment for innermost loop
+ dx1 = sx[ 7 ] - ( S0*sx[8] );
+ dx2 = sx[ 6 ] - ( S1*sx[7] );
+ dx3 = sx[ 5 ] - ( S2*sx[6] );
+ dx4 = sx[ 4 ] - ( S3*sx[5] );
+ dx5 = sx[ 3 ] - ( S4*sx[4] );
+ dx6 = sx[ 2 ] - ( S5*sx[3] );
+ dx7 = sx[ 1 ] - ( S6*sx[2] );
+ dx8 = sx[ 0 ] - ( S7*sx[1] ); // offset increment for outermost loop
+ dy0 = sy[ 8 ];
+ dy1 = sy[ 7 ] - ( S0*sy[8] );
+ dy2 = sy[ 6 ] - ( S1*sy[7] );
+ dy3 = sy[ 5 ] - ( S2*sy[6] );
+ dy4 = sy[ 4 ] - ( S3*sy[5] );
+ dy5 = sy[ 3 ] - ( S4*sy[4] );
+ dy6 = sy[ 2 ] - ( S5*sy[3] );
+ dy7 = sy[ 1 ] - ( S6*sy[2] );
+ dy8 = sy[ 0 ] - ( S7*sy[1] );
+ } else { // order === 'column-major'
+ // For column-major ndarrays, the first dimensions have the fastest changing indices...
+ S0 = sh[ 0 ];
+ S1 = sh[ 1 ];
+ S2 = sh[ 2 ];
+ S3 = sh[ 3 ];
+ S4 = sh[ 4 ];
+ S5 = sh[ 5 ];
+ S6 = sh[ 6 ];
+ S7 = sh[ 7 ];
+ S8 = sh[ 8 ];
+ dx0 = sx[ 0 ]; // offset increment for innermost loop
+ dx1 = sx[ 1 ] - ( S0*sx[0] );
+ dx2 = sx[ 2 ] - ( S1*sx[1] );
+ dx3 = sx[ 3 ] - ( S2*sx[2] );
+ dx4 = sx[ 4 ] - ( S3*sx[3] );
+ dx5 = sx[ 5 ] - ( S4*sx[4] );
+ dx6 = sx[ 6 ] - ( S5*sx[5] );
+ dx7 = sx[ 7 ] - ( S6*sx[6] );
+ dx8 = sx[ 8 ] - ( S7*sx[7] ); // offset increment for outermost loop
+ dy0 = sy[ 0 ];
+ dy1 = sy[ 1 ] - ( S0*sy[0] );
+ dy2 = sy[ 2 ] - ( S1*sy[1] );
+ dy3 = sy[ 3 ] - ( S2*sy[2] );
+ dy4 = sy[ 4 ] - ( S3*sy[3] );
+ dy5 = sy[ 5 ] - ( S4*sy[4] );
+ dy6 = sy[ 6 ] - ( S5*sy[5] );
+ dy7 = sy[ 7 ] - ( S6*sy[6] );
+ dy8 = sy[ 8 ] - ( S7*sy[7] );
+ idx = reverse( idx );
+ }
+ // Set the pointers to the first indexed elements in the respective ndarrays...
+ ix = x.offset;
+ iy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Iterate over the ndarray dimensions...
+ for ( i8 = 0; i8 < S8; i8++ ) {
+ for ( i7 = 0; i7 < S7; i7++ ) {
+ for ( i6 = 0; i6 < S6; i6++ ) {
+ for ( i5 = 0; i5 < S5; i5++ ) {
+ for ( i4 = 0; i4 < S4; i4++ ) {
+ for ( i3 = 0; i3 < S3; i3++ ) {
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ ybuf[ iy ] = fcn.call( thisArg, xbuf[ ix ], take( [ i8, i7, i6, i5, i4, i3, i2, i1, i0 ], idx ), x.ref ); // eslint-disable-line max-len
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ ix += dx3;
+ iy += dy3;
+ }
+ ix += dx4;
+ iy += dy4;
+ }
+ ix += dx5;
+ iy += dy5;
+ }
+ ix += dx6;
+ iy += dy6;
+ }
+ ix += dx7;
+ iy += dy7;
+ }
+ ix += dx8;
+ iy += dy8;
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = map9d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/9d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/9d_accessors.js
new file mode 100644
index 00000000000..e08eefdc24f
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/9d_accessors.js
@@ -0,0 +1,291 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 max-depth */
+
+'use strict';
+
+// MODULES //
+
+var zeroTo = require( '@stdlib/array/base/zero-to' );
+var reverse = require( '@stdlib/array/base/reverse' );
+var take = require( '@stdlib/array/base/take-indexed' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a nine-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* function scale( z ) {
+* return new Complex64( realf(z)*10.0, imagf(z)*10.0 );
+* }
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 1, 1, 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 4, 4, 4, 4, 4, 2, 1 ];
+* var sy = [ 4, 4, 4, 4, 4, 4, 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+* return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+* buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'complex64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+* var y = {
+* 'dtype': 'complex64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+*
+* // Apply the map function:
+* map9d( x, y, scale, {} );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 10.0
+*
+* var im = imagf( v );
+* // returns 20.0
+*/
+function map9d( x, y, fcn, thisArg ) { // eslint-disable-line max-statements
+ var xbuf;
+ var ybuf;
+ var get;
+ var set;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dx3;
+ var dx4;
+ var dx5;
+ var dx6;
+ var dx7;
+ var dx8;
+ var dy0;
+ var dy1;
+ var dy2;
+ var dy3;
+ var dy4;
+ var dy5;
+ var dy6;
+ var dy7;
+ var dy8;
+ var idx;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var S3;
+ var S4;
+ var S5;
+ var S6;
+ var S7;
+ var S8;
+ var sx;
+ var sy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var i3;
+ var i4;
+ var i5;
+ var i6;
+ var i7;
+ var i8;
+
+ // Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+ sh = x.shape;
+ sx = x.strides;
+ sy = y.strides;
+ idx = zeroTo( sh.length );
+ if ( x.order === 'row-major' ) {
+ // For row-major ndarrays, the last dimensions have the fastest changing indices...
+ S0 = sh[ 8 ];
+ S1 = sh[ 7 ];
+ S2 = sh[ 6 ];
+ S3 = sh[ 5 ];
+ S4 = sh[ 4 ];
+ S5 = sh[ 3 ];
+ S6 = sh[ 2 ];
+ S7 = sh[ 1 ];
+ S8 = sh[ 0 ];
+ dx0 = sx[ 8 ]; // offset increment for innermost loop
+ dx1 = sx[ 7 ] - ( S0*sx[8] );
+ dx2 = sx[ 6 ] - ( S1*sx[7] );
+ dx3 = sx[ 5 ] - ( S2*sx[6] );
+ dx4 = sx[ 4 ] - ( S3*sx[5] );
+ dx5 = sx[ 3 ] - ( S4*sx[4] );
+ dx6 = sx[ 2 ] - ( S5*sx[3] );
+ dx7 = sx[ 1 ] - ( S6*sx[2] );
+ dx8 = sx[ 0 ] - ( S7*sx[1] ); // offset increment for outermost loop
+ dy0 = sy[ 8 ];
+ dy1 = sy[ 7 ] - ( S0*sy[8] );
+ dy2 = sy[ 6 ] - ( S1*sy[7] );
+ dy3 = sy[ 5 ] - ( S2*sy[6] );
+ dy4 = sy[ 4 ] - ( S3*sy[5] );
+ dy5 = sy[ 3 ] - ( S4*sy[4] );
+ dy6 = sy[ 2 ] - ( S5*sy[3] );
+ dy7 = sy[ 1 ] - ( S6*sy[2] );
+ dy8 = sy[ 0 ] - ( S7*sy[1] );
+ } else { // order === 'column-major'
+ // For column-major ndarrays, the first dimensions have the fastest changing indices...
+ S0 = sh[ 0 ];
+ S1 = sh[ 1 ];
+ S2 = sh[ 2 ];
+ S3 = sh[ 3 ];
+ S4 = sh[ 4 ];
+ S5 = sh[ 5 ];
+ S6 = sh[ 6 ];
+ S7 = sh[ 7 ];
+ S8 = sh[ 8 ];
+ dx0 = sx[ 0 ]; // offset increment for innermost loop
+ dx1 = sx[ 1 ] - ( S0*sx[0] );
+ dx2 = sx[ 2 ] - ( S1*sx[1] );
+ dx3 = sx[ 3 ] - ( S2*sx[2] );
+ dx4 = sx[ 4 ] - ( S3*sx[3] );
+ dx5 = sx[ 5 ] - ( S4*sx[4] );
+ dx6 = sx[ 6 ] - ( S5*sx[5] );
+ dx7 = sx[ 7 ] - ( S6*sx[6] );
+ dx8 = sx[ 8 ] - ( S7*sx[7] ); // offset increment for outermost loop
+ dy0 = sy[ 0 ];
+ dy1 = sy[ 1 ] - ( S0*sy[0] );
+ dy2 = sy[ 2 ] - ( S1*sy[1] );
+ dy3 = sy[ 3 ] - ( S2*sy[2] );
+ dy4 = sy[ 4 ] - ( S3*sy[3] );
+ dy5 = sy[ 5 ] - ( S4*sy[4] );
+ dy6 = sy[ 6 ] - ( S5*sy[5] );
+ dy7 = sy[ 7 ] - ( S6*sy[6] );
+ dy8 = sy[ 8 ] - ( S7*sy[7] );
+ idx = reverse( idx );
+ }
+ // Set the pointers to the first indexed elements in the respective ndarrays...
+ ix = x.offset;
+ iy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Cache accessors:
+ get = x.accessors[ 0 ];
+ set = y.accessors[ 1 ];
+
+ // Iterate over the ndarray dimensions...
+ for ( i8 = 0; i8 < S8; i8++ ) {
+ for ( i7 = 0; i7 < S7; i7++ ) {
+ for ( i6 = 0; i6 < S6; i6++ ) {
+ for ( i5 = 0; i5 < S5; i5++ ) {
+ for ( i4 = 0; i4 < S4; i4++ ) {
+ for ( i3 = 0; i3 < S3; i3++ ) {
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ set( ybuf, iy, fcn.call( thisArg, get( xbuf, ix ), take( [ i8, i7, i6, i5, i4, i3, i2, i1, i0 ], idx ), x.ref ) ); // eslint-disable-line max-len
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ ix += dx3;
+ iy += dy3;
+ }
+ ix += dx4;
+ iy += dy4;
+ }
+ ix += dx5;
+ iy += dy5;
+ }
+ ix += dx6;
+ iy += dy6;
+ }
+ ix += dx7;
+ iy += dy7;
+ }
+ ix += dx8;
+ iy += dy8;
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = map9d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/9d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/9d_blocked.js
new file mode 100644
index 00000000000..e6d32f885f6
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/9d_blocked.js
@@ -0,0 +1,365 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 max-depth, max-len */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/unary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/unary-tiling-block-size' );
+var take = require( '@stdlib/array/base/take-indexed' );
+var reverse = require( '@stdlib/array/base/reverse' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a nine-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray via loop blocking.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* function scale( z ) {
+* return z * 10.0;
+* }
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 12, 12, 12, 12, 12, 4, 4, 1 ];
+* var sy = [ 6, 6, 6, 6, 6, 6, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 1;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'float64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major'
+* };
+* var y = {
+* 'dtype': 'float64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major'
+* };
+*
+* // Apply the map function:
+* blockedmap9d( x, y, scale, {} );
+*
+* console.log( y.data );
+* // => [ 20.0, 30.0, 60.0, 70.0, 100.0, 110.0 ]
+*/
+function blockedmap9d( x, y, fcn, thisArg ) { // eslint-disable-line max-statements, max-lines-per-function
+ var bsize;
+ var xbuf;
+ var ybuf;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dx3;
+ var dx4;
+ var dx5;
+ var dx6;
+ var dx7;
+ var dx8;
+ var dy0;
+ var dy1;
+ var dy2;
+ var dy3;
+ var dy4;
+ var dy5;
+ var dy6;
+ var dy7;
+ var dy8;
+ var ox1;
+ var ox2;
+ var ox3;
+ var ox4;
+ var ox5;
+ var ox6;
+ var ox7;
+ var ox8;
+ var oy1;
+ var oy2;
+ var oy3;
+ var oy4;
+ var oy5;
+ var oy6;
+ var oy7;
+ var oy8;
+ var idx;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var S3;
+ var S4;
+ var S5;
+ var S6;
+ var S7;
+ var S8;
+ var sx;
+ var sy;
+ var ox;
+ var oy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var i3;
+ var i4;
+ var i5;
+ var i6;
+ var i7;
+ var i8;
+ var j0;
+ var j1;
+ var j2;
+ var j3;
+ var j4;
+ var j5;
+ var j6;
+ var j7;
+ var j8;
+ var o;
+
+ // Note on variable naming convention: s#, dx#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Resolve the loop interchange order:
+ o = loopOrder( x.shape, x.strides, y.strides );
+ sh = o.sh;
+ sx = o.sx;
+ sy = o.sy;
+ idx = reverse( o.idx );
+
+ // Determine the block size:
+ bsize = blockSize( x.dtype, y.dtype );
+
+ // Cache the indices of the first indexed elements in the respective ndarrays...
+ ox = x.offset;
+ oy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Cache offset increments for the innermost loop...
+ dx0 = sx[0];
+ dy0 = sy[0];
+
+ // Iterate over blocks...
+ for ( j8 = sh[8]; j8 > 0; ) {
+ if ( j8 < bsize ) {
+ S8 = j8;
+ j8 = 0;
+ } else {
+ S8 = bsize;
+ j8 -= bsize;
+ }
+ ox8 = ox + ( j8*sx[8] );
+ oy8 = oy + ( j8*sy[8] );
+ for ( j7 = sh[7]; j7 > 0; ) {
+ if ( j7 < bsize ) {
+ S7 = j7;
+ j7 = 0;
+ } else {
+ S7 = bsize;
+ j7 -= bsize;
+ }
+ dx8 = sx[8] - ( S7*sx[7] );
+ dy8 = sy[8] - ( S7*sy[7] );
+ ox7 = ox8 + ( j7*sx[7] );
+ oy7 = oy8 + ( j7*sy[7] );
+ for ( j6 = sh[6]; j6 > 0; ) {
+ if ( j6 < bsize ) {
+ S6 = j6;
+ j6 = 0;
+ } else {
+ S6 = bsize;
+ j6 -= bsize;
+ }
+ dx7 = sx[7] - ( S6*sx[6] );
+ dy7 = sy[7] - ( S6*sy[6] );
+ ox6 = ox7 + ( j6*sx[6] );
+ oy6 = oy7 + ( j6*sy[6] );
+ for ( j5 = sh[5]; j5 > 0; ) {
+ if ( j5 < bsize ) {
+ S5 = j5;
+ j5 = 0;
+ } else {
+ S5 = bsize;
+ j5 -= bsize;
+ }
+ dx6 = sx[6] - ( S5*sx[5] );
+ dy6 = sy[6] - ( S5*sy[5] );
+ ox5 = ox6 + ( j5*sx[5] );
+ oy5 = oy6 + ( j5*sy[5] );
+ for ( j4 = sh[4]; j4 > 0; ) {
+ if ( j4 < bsize ) {
+ S4 = j4;
+ j4 = 0;
+ } else {
+ S4 = bsize;
+ j4 -= bsize;
+ }
+ dx5 = sx[5] - ( S4*sx[4] );
+ dy5 = sy[5] - ( S4*sy[4] );
+ ox4 = ox5 + ( j4*sx[4] );
+ oy4 = oy5 + ( j4*sy[4] );
+ for ( j3 = sh[3]; j3 > 0; ) {
+ if ( j3 < bsize ) {
+ S3 = j3;
+ j3 = 0;
+ } else {
+ S3 = bsize;
+ j3 -= bsize;
+ }
+ dx4 = sx[4] - ( S3*sx[3] );
+ dy4 = sy[4] - ( S3*sy[3] );
+ ox3 = ox4 + ( j3*sx[3] );
+ oy3 = oy4 + ( j3*sy[3] );
+ for ( j2 = sh[2]; j2 > 0; ) {
+ if ( j2 < bsize ) {
+ S2 = j2;
+ j2 = 0;
+ } else {
+ S2 = bsize;
+ j2 -= bsize;
+ }
+ dx3 = sx[3] - ( S2*sx[2] );
+ dy3 = sy[3] - ( S2*sy[2] );
+ ox2 = ox3 + ( j2*sx[2] );
+ oy2 = oy3 + ( j2*sy[2] );
+ for ( j1 = sh[1]; j1 > 0; ) {
+ if ( j1 < bsize ) {
+ S1 = j1;
+ j1 = 0;
+ } else {
+ S1 = bsize;
+ j1 -= bsize;
+ }
+ dx2 = sx[2] - ( S1*sx[1] );
+ dy2 = sy[2] - ( S1*sy[1] );
+ ox1 = ox2 + ( j1*sx[1] );
+ oy1 = oy2 + ( j1*sy[1] );
+ for ( j0 = sh[0]; j0 > 0; ) {
+ if ( j0 < bsize ) {
+ S0 = j0;
+ j0 = 0;
+ } else {
+ S0 = bsize;
+ j0 -= bsize;
+ }
+ // Compute index offsets for the first input and output ndarray elements in the current block...
+ ix = ox1 + ( j0*sx[0] );
+ iy = oy1 + ( j0*sy[0] );
+
+ // Compute loop offset increments...
+ dx1 = sx[1] - ( S0*sx[0] );
+ dy1 = sy[1] - ( S0*sy[0] );
+
+ // Iterate over the ndarray dimensions...
+ for ( i8 = 0; i8 < S8; i8++ ) {
+ for ( i7 = 0; i7 < S7; i7++ ) {
+ for ( i6 = 0; i6 < S6; i6++ ) {
+ for ( i5 = 0; i5 < S5; i5++ ) {
+ for ( i4 = 0; i4 < S4; i4++ ) {
+ for ( i3 = 0; i3 < S3; i3++ ) {
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ ybuf[ iy ] = fcn.call( thisArg, xbuf[ ix ], take( [ i8, i7, i6, i5, i4, i3, i2, i1, i0 ], idx ), x.ref );
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ ix += dx3;
+ iy += dy3;
+ }
+ ix += dx4;
+ iy += dy4;
+ }
+ ix += dx5;
+ iy += dy5;
+ }
+ ix += dx6;
+ iy += dy6;
+ }
+ ix += dx7;
+ iy += dy7;
+ }
+ ix += dx8;
+ iy += dy8;
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = blockedmap9d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/9d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/9d_blocked_accessors.js
new file mode 100644
index 00000000000..9d8e0b60b69
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/9d_blocked_accessors.js
@@ -0,0 +1,390 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 max-depth, max-len */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/unary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/unary-tiling-block-size' );
+var take = require( '@stdlib/array/base/take-indexed' );
+var reverse = require( '@stdlib/array/base/reverse' );
+
+
+// MAIN //
+
+/**
+* Applies a callback function to elements in a nine-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray via loop blocking.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} y - object containing output ndarray meta data
+* @param {string} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Callback} fcn - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* function scale( z ) {
+* return new Complex64( realf(z)*10.0, imagf(z)*10.0 );
+* }
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 1, 1, 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 4, 4, 4, 4, 4, 2, 1 ];
+* var sy = [ 4, 4, 4, 4, 4, 4, 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+* return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+* buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'ref': null,
+* 'dtype': 'complex64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+* var y = {
+* 'dtype': 'complex64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major',
+* 'accessors': [ getter, setter ]
+* };
+*
+* // Apply the map function:
+* blockedmap9d( x, y, scale, {} );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 10.0
+*
+* var im = imagf( v );
+* // returns 20.0
+*/
+function blockedmap9d( x, y, fcn, thisArg ) { // eslint-disable-line max-statements, max-lines-per-function
+ var bsize;
+ var xbuf;
+ var ybuf;
+ var get;
+ var set;
+ var dx0;
+ var dx1;
+ var dx2;
+ var dx3;
+ var dx4;
+ var dx5;
+ var dx6;
+ var dx7;
+ var dx8;
+ var dy0;
+ var dy1;
+ var dy2;
+ var dy3;
+ var dy4;
+ var dy5;
+ var dy6;
+ var dy7;
+ var dy8;
+ var ox1;
+ var ox2;
+ var ox3;
+ var ox4;
+ var ox5;
+ var ox6;
+ var ox7;
+ var ox8;
+ var oy1;
+ var oy2;
+ var oy3;
+ var oy4;
+ var oy5;
+ var oy6;
+ var oy7;
+ var oy8;
+ var idx;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var S3;
+ var S4;
+ var S5;
+ var S6;
+ var S7;
+ var S8;
+ var sx;
+ var sy;
+ var ox;
+ var oy;
+ var ix;
+ var iy;
+ var i0;
+ var i1;
+ var i2;
+ var i3;
+ var i4;
+ var i5;
+ var i6;
+ var i7;
+ var i8;
+ var j0;
+ var j1;
+ var j2;
+ var j3;
+ var j4;
+ var j5;
+ var j6;
+ var j7;
+ var j8;
+ var o;
+
+ // Note on variable naming convention: s#, dx#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Resolve the loop interchange order:
+ o = loopOrder( x.shape, x.strides, y.strides );
+ sh = o.sh;
+ sx = o.sx;
+ sy = o.sy;
+ idx = reverse( o.idx );
+
+ // Determine the block size:
+ bsize = blockSize( x.dtype, y.dtype );
+
+ // Cache the indices of the first indexed elements in the respective ndarrays...
+ ox = x.offset;
+ oy = y.offset;
+
+ // Cache references to the input and output ndarray buffers...
+ xbuf = x.data;
+ ybuf = y.data;
+
+ // Cache offset increments for the innermost loop...
+ dx0 = sx[0];
+ dy0 = sy[0];
+
+ // Cache accessors:
+ get = x.accessors[0];
+ set = y.accessors[1];
+
+ // Iterate over blocks...
+ for ( j8 = sh[8]; j8 > 0; ) {
+ if ( j8 < bsize ) {
+ S8 = j8;
+ j8 = 0;
+ } else {
+ S8 = bsize;
+ j8 -= bsize;
+ }
+ ox8 = ox + ( j8*sx[8] );
+ oy8 = oy + ( j8*sy[8] );
+ for ( j7 = sh[7]; j7 > 0; ) {
+ if ( j7 < bsize ) {
+ S7 = j7;
+ j7 = 0;
+ } else {
+ S7 = bsize;
+ j7 -= bsize;
+ }
+ dx8 = sx[8] - ( S7*sx[7] );
+ dy8 = sy[8] - ( S7*sy[7] );
+ ox7 = ox8 + ( j7*sx[7] );
+ oy7 = oy8 + ( j7*sy[7] );
+ for ( j6 = sh[6]; j6 > 0; ) {
+ if ( j6 < bsize ) {
+ S6 = j6;
+ j6 = 0;
+ } else {
+ S6 = bsize;
+ j6 -= bsize;
+ }
+ dx7 = sx[7] - ( S6*sx[6] );
+ dy7 = sy[7] - ( S6*sy[6] );
+ ox6 = ox7 + ( j6*sx[6] );
+ oy6 = oy7 + ( j6*sy[6] );
+ for ( j5 = sh[5]; j5 > 0; ) {
+ if ( j5 < bsize ) {
+ S5 = j5;
+ j5 = 0;
+ } else {
+ S5 = bsize;
+ j5 -= bsize;
+ }
+ dx6 = sx[6] - ( S5*sx[5] );
+ dy6 = sy[6] - ( S5*sy[5] );
+ ox5 = ox6 + ( j5*sx[5] );
+ oy5 = oy6 + ( j5*sy[5] );
+ for ( j4 = sh[4]; j4 > 0; ) {
+ if ( j4 < bsize ) {
+ S4 = j4;
+ j4 = 0;
+ } else {
+ S4 = bsize;
+ j4 -= bsize;
+ }
+ dx5 = sx[5] - ( S4*sx[4] );
+ dy5 = sy[5] - ( S4*sy[4] );
+ ox4 = ox5 + ( j4*sx[4] );
+ oy4 = oy5 + ( j4*sy[4] );
+ for ( j3 = sh[3]; j3 > 0; ) {
+ if ( j3 < bsize ) {
+ S3 = j3;
+ j3 = 0;
+ } else {
+ S3 = bsize;
+ j3 -= bsize;
+ }
+ dx4 = sx[4] - ( S3*sx[3] );
+ dy4 = sy[4] - ( S3*sy[3] );
+ ox3 = ox4 + ( j3*sx[3] );
+ oy3 = oy4 + ( j3*sy[3] );
+ for ( j2 = sh[2]; j2 > 0; ) {
+ if ( j2 < bsize ) {
+ S2 = j2;
+ j2 = 0;
+ } else {
+ S2 = bsize;
+ j2 -= bsize;
+ }
+ dx3 = sx[3] - ( S2*sx[2] );
+ dy3 = sy[3] - ( S2*sy[2] );
+ ox2 = ox3 + ( j2*sx[2] );
+ oy2 = oy3 + ( j2*sy[2] );
+ for ( j1 = sh[1]; j1 > 0; ) {
+ if ( j1 < bsize ) {
+ S1 = j1;
+ j1 = 0;
+ } else {
+ S1 = bsize;
+ j1 -= bsize;
+ }
+ dx2 = sx[2] - ( S1*sx[1] );
+ dy2 = sy[2] - ( S1*sy[1] );
+ ox1 = ox2 + ( j1*sx[1] );
+ oy1 = oy2 + ( j1*sy[1] );
+ for ( j0 = sh[0]; j0 > 0; ) {
+ if ( j0 < bsize ) {
+ S0 = j0;
+ j0 = 0;
+ } else {
+ S0 = bsize;
+ j0 -= bsize;
+ }
+ // Compute index offsets for the first input and output ndarray elements in the current block...
+ ix = ox1 + ( j0*sx[0] );
+ iy = oy1 + ( j0*sy[0] );
+
+ // Compute loop offset increments...
+ dx1 = sx[1] - ( S0*sx[0] );
+ dy1 = sy[1] - ( S0*sy[0] );
+
+ // Iterate over the ndarray dimensions...
+ for ( i8 = 0; i8 < S8; i8++ ) {
+ for ( i7 = 0; i7 < S7; i7++ ) {
+ for ( i6 = 0; i6 < S6; i6++ ) {
+ for ( i5 = 0; i5 < S5; i5++ ) {
+ for ( i4 = 0; i4 < S4; i4++ ) {
+ for ( i3 = 0; i3 < S3; i3++ ) {
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ set( ybuf, iy, fcn.call( thisArg, get( xbuf, ix ), take( [ i8, i7, i6, i5, i4, i3, i2, i1, i0 ], idx ), x.ref ) );
+ ix += dx0;
+ iy += dy0;
+ }
+ ix += dx1;
+ iy += dy1;
+ }
+ ix += dx2;
+ iy += dy2;
+ }
+ ix += dx3;
+ iy += dy3;
+ }
+ ix += dx4;
+ iy += dy4;
+ }
+ ix += dx5;
+ iy += dy5;
+ }
+ ix += dx6;
+ iy += dy6;
+ }
+ ix += dx7;
+ iy += dy7;
+ }
+ ix += dx8;
+ iy += dy8;
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = blockedmap9d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/index.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/index.js
new file mode 100644
index 00000000000..c1368019206
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/index.js
@@ -0,0 +1,81 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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';
+
+/**
+* Apply a callback function to the elements in an input ndarray and assign results to the elements in an output ndarray.
+*
+* @module @stdlib/ndarray/base/map
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var map = require( '@stdlib/ndarray/base/map' );
+*
+* function scale( z ) {
+* return z * 10.0;
+* }
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 1 ];
+* var sy = [ 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 1;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+* 'dtype': 'float64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major'
+* };
+* var y = {
+* 'dtype': 'float64',
+* 'data': ybuf,
+* 'shape': shape,
+* 'strides': sy,
+* 'offset': oy,
+* 'order': 'row-major'
+* };
+*
+* // Apply the map function:
+* map( [ x, y ], scale );
+*
+* console.log( y.data );
+* // => [ 20.0, 30.0, 60.0, 70.0, 100.0, 110.0 ]
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/ndarray/base/map/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/map/lib/main.js
new file mode 100644
index 00000000000..6b33cff35fd
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/map/lib/main.js
@@ -0,0 +1,342 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 iterationOrder = require( '@stdlib/ndarray/base/iteration-order' );
+var minmaxViewBufferIndex = require( '@stdlib/ndarray/base/minmax-view-buffer-index' );
+var ndarray2object = require( '@stdlib/ndarray/base/ndarraylike2object' );
+var blockedaccessormap2d = require( './2d_blocked_accessors.js' );
+var blockedaccessormap3d = require( './3d_blocked_accessors.js' );
+var blockedaccessormap4d = require( './4d_blocked_accessors.js' );
+var blockedaccessormap5d = require( './5d_blocked_accessors.js' );
+var blockedaccessormap6d = require( './6d_blocked_accessors.js' );
+var blockedaccessormap7d = require( './7d_blocked_accessors.js' );
+var blockedaccessormap8d = require( './8d_blocked_accessors.js' );
+var blockedaccessormap9d = require( './9d_blocked_accessors.js' );
+var blockedaccessormap10d = require( './10d_blocked_accessors.js' );
+var blockedmap2d = require( './2d_blocked.js' );
+var blockedmap3d = require( './3d_blocked.js' );
+var blockedmap4d = require( './4d_blocked.js' );
+var blockedmap5d = require( './5d_blocked.js' );
+var blockedmap6d = require( './6d_blocked.js' );
+var blockedmap7d = require( './7d_blocked.js' );
+var blockedmap8d = require( './8d_blocked.js' );
+var blockedmap9d = require( './9d_blocked.js' );
+var blockedmap10d = require( './10d_blocked.js' );
+var accessormap0d = require( './0d_accessors.js' );
+var accessormap1d = require( './1d_accessors.js' );
+var accessormap2d = require( './2d_accessors.js' );
+var accessormap3d = require( './3d_accessors.js' );
+var accessormap4d = require( './4d_accessors.js' );
+var accessormap5d = require( './5d_accessors.js' );
+var accessormap6d = require( './6d_accessors.js' );
+var accessormap7d = require( './7d_accessors.js' );
+var accessormap8d = require( './8d_accessors.js' );
+var accessormap9d = require( './9d_accessors.js' );
+var accessormap10d = require( './10d_accessors.js' );
+var accessormapnd = require( './nd_accessors.js' );
+var map0d = require( './0d.js' );
+var map1d = require( './1d.js' );
+var map2d = require( './2d.js' );
+var map3d = require( './3d.js' );
+var map4d = require( './4d.js' );
+var map5d = require( './5d.js' );
+var map6d = require( './6d.js' );
+var map7d = require( './7d.js' );
+var map8d = require( './8d.js' );
+var map9d = require( './9d.js' );
+var map10d = require( './10d.js' );
+var mapnd = require( './nd.js' );
+
+
+// VARIABLES //
+
+var MAP = [
+ map0d,
+ map1d,
+ map2d,
+ map3d,
+ map4d,
+ map5d,
+ map6d,
+ map7d,
+ map8d,
+ map9d,
+ map10d
+];
+var ACCESSOR_MAP = [
+ accessormap0d,
+ accessormap1d,
+ accessormap2d,
+ accessormap3d,
+ accessormap4d,
+ accessormap5d,
+ accessormap6d,
+ accessormap7d,
+ accessormap8d,
+ accessormap9d,
+ accessormap10d
+];
+var BLOCKED_MAP = [
+ blockedmap2d, // 0
+ blockedmap3d,
+ blockedmap4d,
+ blockedmap5d,
+ blockedmap6d,
+ blockedmap7d,
+ blockedmap8d,
+ blockedmap9d,
+ blockedmap10d // 8
+];
+var BLOCKED_ACCESSOR_MAP = [
+ blockedaccessormap2d, // 0
+ blockedaccessormap3d,
+ blockedaccessormap4d,
+ blockedaccessormap5d,
+ blockedaccessormap6d,
+ blockedaccessormap7d,
+ blockedaccessormap8d,
+ blockedaccessormap9d,
+ blockedaccessormap10d // 8
+];
+var MAX_DIMS = MAP.length -1;
+
+
+// MAIN //
+
+/**
+* Applies a callback function to the elements in an input ndarray and assigns results to the elements in an output ndarray.
+*
+* ## Notes
+*
+* - Each provided ndarray should be an `object` with the following properties:
+*
+* - **dtype**: data type.
+* - **data**: data buffer.
+* - **shape**: dimensions.
+* - **strides**: stride lengths.
+* - **offset**: index offset.
+* - **order**: specifies whether an ndarray is row-major (C-style) or column major (Fortran-style).
+*
+* @param {ArrayLikeObject