diff --git a/lib/node_modules/@stdlib/ndarray/for-each/README.md b/lib/node_modules/@stdlib/ndarray/for-each/README.md
new file mode 100644
index 000000000000..07fbb840f010
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/for-each/README.md
@@ -0,0 +1,164 @@
+
+
+# forEach
+
+> Invoke a callback function once for each [ndarray][@stdlib/ndarray/ctor] element.
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var forEach = require( '@stdlib/ndarray/for-each' );
+```
+
+#### forEach( x, fcn\[, thisArg] )
+
+Invokes a callback function once for each [ndarray][@stdlib/ndarray/ctor] element.
+
+
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var naryFunction = require( '@stdlib/utils/nary-function' );
+var log = require( '@stdlib/console/log' );
+
+var buffer = 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 shape = [ 2, 3 ];
+var strides = [ 6, 1 ];
+var offset = 1;
+
+var x = ndarray( 'float64', buffer, shape, strides, offset, 'row-major' );
+// returns
+
+forEach( x, naryFunction( log, 1 ) );
+```
+
+The function accepts the following arguments:
+
+- **x**: input [ndarray][@stdlib/ndarray/ctor].
+- **fcn**: callback to apply.
+- **thisArg**: callback execution context _(optional)_.
+
+To set the callback function execution context, provide a `thisArg`.
+
+
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+
+function accumulate( z ) {
+ this.sum += z;
+}
+
+var buffer = 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 shape = [ 2, 3 ];
+var strides = [ 6, 1 ];
+var offset = 1;
+var x = ndarray( 'float64', buffer, shape, strides, offset, 'row-major' );
+// returns
+
+var ctx = {
+ 'sum': 0
+};
+
+forEach( x, accumulate, ctx );
+var sum = ctx.sum;
+// returns 36
+```
+
+The callback function is provided the following arguments:
+
+- **value**: current array element.
+- **indices**: current array element indices.
+- **arr**: the input [ndarray][@stdlib/ndarray/ctor].
+
+
+
+
+
+
+
+## Notes
+
+- 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/array/discrete-uniform' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var naryFunction = require( '@stdlib/utils/nary-function' );
+var log = require( '@stdlib/console/log' );
+var forEach = require( '@stdlib/ndarray/for-each' );
+
+var buffer = discreteUniform( 10, -100, 100, {
+ 'dtype': 'generic'
+});
+var shape = [ 5, 2 ];
+var strides = [ 2, 1 ];
+var offset = 0;
+var x = ndarray( 'generic', buffer, shape, strides, offset, 'row-major' );
+
+log( ndarray2array( x ) );
+forEach( x, naryFunction( log, 2 ) );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+[@stdlib/ndarray/ctor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/ctor
+
+
+
+
+
+
+
+
diff --git a/lib/node_modules/@stdlib/ndarray/for-each/benchmark/benchmark.1d.js b/lib/node_modules/@stdlib/ndarray/for-each/benchmark/benchmark.1d.js
new file mode 100644
index 000000000000..38ad9ee75c15
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/for-each/benchmark/benchmark.1d.js
@@ -0,0 +1,140 @@
+/**
+* @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 isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var pkg = require( './../package.json' ).name;
+var forEach = require( './../lib' );
+
+
+// VARIABLES //
+
+var xtypes = [ 'generic' ];
+var orders = [ 'row-major', 'column-major' ];
+
+
+// FUNCTIONS //
+
+/**
+* Callback invoked for each ndarray element.
+*
+* @private
+* @param {number} value - array element
+* @throws {Error} unexpected error
+*/
+function fcn( value ) {
+ if ( isnan( value ) ) {
+ throw new Error( 'unexpected error' );
+ }
+}
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} order - ndarray memory layout
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, order ) {
+ var strides;
+ var xbuf;
+ var x;
+
+ xbuf = discreteUniform( len, -100, 100, {
+ 'dtype': xtype
+ });
+ strides = shape2strides( shape, order );
+ x = ndarray( xtype, xbuf, shape, strides, 0, 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++ ) {
+ forEach( x, fcn );
+ if ( isnan( x.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( x.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 ord;
+ var sh;
+ var t1;
+ var f;
+ var i;
+ var j;
+ var k;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( k = 0; k < orders.length; k++ ) {
+ ord = orders[ k ];
+ for ( j = 0; j < xtypes.length; j++ ) {
+ t1 = xtypes[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len ];
+ f = createBenchmark( len, sh, t1, ord );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+ord+',xtype='+t1, f );
+ }
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/for-each/benchmark/benchmark.2d.js b/lib/node_modules/@stdlib/ndarray/for-each/benchmark/benchmark.2d.js
new file mode 100644
index 000000000000..e4a93e8869f5
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/for-each/benchmark/benchmark.2d.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 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 discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var pkg = require( './../package.json' ).name;
+var forEach = require( './../lib' );
+
+
+// VARIABLES //
+
+var xtypes = [ 'generic' ];
+var orders = [ 'row-major', 'column-major' ];
+
+
+// FUNCTIONS //
+
+/**
+* Callback invoked for each ndarray element.
+*
+* @private
+* @param {number} value - array element
+* @throws {Error} unexpected error
+*/
+function fcn( value ) {
+ if ( isnan( value ) ) {
+ throw new Error( 'unexpected error' );
+ }
+}
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} order - ndarray memory layout
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, order ) {
+ var strides;
+ var xbuf;
+ var x;
+
+ xbuf = discreteUniform( len, -100, 100, {
+ 'dtype': xtype
+ });
+ strides = shape2strides( shape, order );
+ x = ndarray( xtype, xbuf, shape, strides, 0, 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++ ) {
+ forEach( x, fcn );
+ if ( isnan( x.data[ i%len ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( x.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 ord;
+ var sh;
+ var t1;
+ var f;
+ var i;
+ var j;
+ var k;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( k = 0; k < orders.length; k++ ) {
+ ord = orders[ k ];
+ for ( j = 0; j < xtypes.length; j++ ) {
+ t1 = xtypes[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2 ];
+ f = createBenchmark( len, sh, t1, ord );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+ord+',xtype='+t1, f );
+
+ sh = [ 2, len/2 ];
+ f = createBenchmark( len, sh, t1, ord );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+ord+',xtype='+t1, f );
+
+ len = floor( sqrt( len ) );
+ sh = [ len, len ];
+ len *= len;
+ f = createBenchmark( len, sh, t1, ord );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+ord+',xtype='+t1, f );
+ }
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/for-each/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/for-each/docs/repl.txt
new file mode 100644
index 000000000000..73cfcf3ebd23
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/for-each/docs/repl.txt
@@ -0,0 +1,29 @@
+
+{{alias}}( x, fcn[, thisArg] )
+ Invokes a callback function once for each ndarray element.
+
+ The callback function is provided the following arguments:
+
+ - value: current array element.
+ - indices: current array element indices.
+ - arr: the input ndarray.
+
+ Parameters
+ ----------
+ x: ndarray
+ Input ndarray.
+
+ fcn: Function
+ Callback function.
+
+ thisArg: any (optional)
+ Callback function execution context.
+
+ Examples
+ --------
+ > var x = {{alias:@stdlib/ndarray/array}}( [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] );
+ > function f( v ) { if ( v !== v ) { throw new Error( '...' ); } };
+ > {{alias}}( x, f );
+
+ See Also
+ --------
diff --git a/lib/node_modules/@stdlib/ndarray/for-each/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/for-each/docs/types/index.d.ts
new file mode 100644
index 000000000000..1280c2cbf2d3
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/for-each/docs/types/index.d.ts
@@ -0,0 +1,429 @@
+/*
+* @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 { typedndarray, float64ndarray, float32ndarray, complex128ndarray, complex64ndarray, int32ndarray, int16ndarray, int8ndarray, uint32ndarray, uint16ndarray, uint8ndarray, uint8cndarray, boolndarray, genericndarray } from '@stdlib/types/ndarray';
+import { Complex64, Complex128 } from '@stdlib/types/complex';
+
+/**
+* Callback invoked for each ndarray element.
+*/
+type Nullary = ( this: V ) => void;
+
+/**
+* Callback invoked for each ndarray element.
+*
+* @param value - current array element
+*/
+type Unary = ( this: V, value: T ) => void;
+
+/**
+* Callback invoked for each ndarray element.
+*
+* @param value - current array element
+* @param indices - current array element indices
+*/
+type Binary = ( this: V, value: T, indices: Array ) => void;
+
+/**
+* Callback invoked for each ndarray element.
+*
+* @param value - current array element
+* @param indices - current array element indices
+* @param arr - input array
+*/
+type Ternary = ( this: V, value: T, indices: Array, arr: U ) => void;
+
+/**
+* Callback invoked for each ndarray element.
+*
+* @param value - current array element
+* @param indices - current array element indices
+* @param arr - input array
+*/
+type Callback = Nullary | Unary | Binary | Ternary;
+
+/**
+* Invokes a callback function once for each ndarray element.
+*
+* @param x - input ndarray
+* @param fcn - callback function
+* @param thisArg - callback function execution context
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+* var naryFunction = require( '@stdlib/utils/nary-function' );
+* var log = require( '@stdlib/console/log' );
+*
+* var buffer = 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 shape = [ 2, 3 ];
+* var strides = [ 3, 1 ];
+* var offset = 0;
+*
+* var x = ndarray( 'float64', buffer, shape, strides, offset, 'row-major' );
+* // returns
+*
+* // Apply the callback function:
+* forEach( x, naryFunction( log, 1 ) );
+*/
+declare function forEach( x: float64ndarray, fcn: Callback, thisArg?: ThisParameterType> ): void;
+
+/**
+* Invokes a callback function once for each ndarray element.
+*
+* @param x - input ndarray
+* @param fcn - callback function
+* @param thisArg - callback function execution context
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+* var naryFunction = require( '@stdlib/utils/nary-function' );
+* var log = require( '@stdlib/console/log' );
+*
+* var buffer = new Float32Array( [ 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 shape = [ 2, 3 ];
+* var strides = [ 3, 1 ];
+* var offset = 0;
+*
+* var x = ndarray( 'float32', buffer, shape, strides, offset, 'row-major' );
+* // returns
+*
+* // Apply the callback function:
+* forEach( x, naryFunction( log, 1 ) );
+*/
+declare function forEach( x: float32ndarray, fcn: Callback, thisArg?: ThisParameterType> ): void;
+
+/**
+* Invokes a callback function once for each ndarray element.
+*
+* @param x - input ndarray
+* @param fcn - callback function
+* @param thisArg - callback function execution context
+*
+* @example
+* var Int32Array = require( '@stdlib/array/int32' );
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+* var naryFunction = require( '@stdlib/utils/nary-function' );
+* var log = require( '@stdlib/console/log' );
+*
+* var buffer = new Int32Array( [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ] );
+* var shape = [ 2, 3 ];
+* var strides = [ 3, 1 ];
+* var offset = 0;
+*
+* var x = ndarray( 'int32', buffer, shape, strides, offset, 'row-major' );
+* // returns
+*
+* // Apply the callback function:
+* forEach( x, naryFunction( log, 1 ) );
+*/
+declare function forEach( x: int32ndarray, fcn: Callback, thisArg?: ThisParameterType> ): void;
+
+/**
+* Invokes a callback function once for each ndarray element.
+*
+* @param x - input ndarray
+* @param fcn - callback function
+* @param thisArg - callback function execution context
+*
+* @example
+* var Int16Array = require( '@stdlib/array/int16' );
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+* var naryFunction = require( '@stdlib/utils/nary-function' );
+* var log = require( '@stdlib/console/log' );
+*
+* var buffer = new Int16Array( [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ] );
+* var shape = [ 2, 3 ];
+* var strides = [ 3, 1 ];
+* var offset = 0;
+*
+* var x = ndarray( 'int16', buffer, shape, strides, offset, 'row-major' );
+* // returns
+*
+* // Apply the callback function:
+* forEach( x, naryFunction( log, 1 ) );
+*/
+declare function forEach( x: int16ndarray, fcn: Callback, thisArg?: ThisParameterType> ): void;
+
+/**
+* Invokes a callback function once for each ndarray element.
+*
+* @param x - input ndarray
+* @param fcn - callback function
+* @param thisArg - callback function execution context
+*
+* @example
+* var Int8Array = require( '@stdlib/array/int8' );
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+* var naryFunction = require( '@stdlib/utils/nary-function' );
+* var log = require( '@stdlib/console/log' );
+*
+* var buffer = new Int8Array( [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ] );
+* var shape = [ 2, 3 ];
+* var strides = [ 3, 1 ];
+* var offset = 0;
+*
+* var x = ndarray( 'int8', buffer, shape, strides, offset, 'row-major' );
+* // returns
+*
+* // Apply the callback function:
+* forEach( x, naryFunction( log, 1 ) );
+*/
+declare function forEach( x: int8ndarray, fcn: Callback, thisArg?: ThisParameterType> ): void;
+
+/**
+* Invokes a callback function once for each ndarray element.
+*
+* @param x - input ndarray
+* @param fcn - callback function
+* @param thisArg - callback function execution context
+*
+* @example
+* var Uint32Array = require( '@stdlib/array/uint32' );
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+* var naryFunction = require( '@stdlib/utils/nary-function' );
+* var log = require( '@stdlib/console/log' );
+*
+* var buffer = new Uint32Array( [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ] );
+* var shape = [ 2, 3 ];
+* var strides = [ 3, 1 ];
+* var offset = 0;
+*
+* var x = ndarray( 'uint32', buffer, shape, strides, offset, 'row-major' );
+* // returns
+*
+* // Apply the callback function:
+* forEach( x, naryFunction( log, 1 ) );
+*/
+declare function forEach( x: uint32ndarray, fcn: Callback, thisArg?: ThisParameterType> ): void;
+
+/**
+* Invokes a callback function once for each ndarray element.
+*
+* @param x - input ndarray
+* @param fcn - callback function
+* @param thisArg - callback function execution context
+*
+* @example
+* var Uint16Array = require( '@stdlib/array/uint16' );
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+* var naryFunction = require( '@stdlib/utils/nary-function' );
+* var log = require( '@stdlib/console/log' );
+*
+* var buffer = new Uint16Array( [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ] );
+* var shape = [ 2, 3 ];
+* var strides = [ 3, 1 ];
+* var offset = 0;
+*
+* var x = ndarray( 'uint16', buffer, shape, strides, offset, 'row-major' );
+* // returns
+*
+* // Apply the callback function:
+* forEach( x, naryFunction( log, 1 ) );
+*/
+declare function forEach( x: uint16ndarray, fcn: Callback, thisArg?: ThisParameterType> ): void;
+
+/**
+* Invokes a callback function once for each ndarray element.
+*
+* @param x - input ndarray
+* @param fcn - callback function
+* @param thisArg - callback function execution context
+*
+* @example
+* var Uint8Array = require( '@stdlib/array/uint8' );
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+* var naryFunction = require( '@stdlib/utils/nary-function' );
+* var log = require( '@stdlib/console/log' );
+*
+* var buffer = new Uint8Array( [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ] );
+* var shape = [ 2, 3 ];
+* var strides = [ 3, 1 ];
+* var offset = 0;
+*
+* var x = ndarray( 'uint8', buffer, shape, strides, offset, 'row-major' );
+* // returns
+*
+* // Apply the callback function:
+* forEach( x, naryFunction( log, 1 ) );
+*/
+declare function forEach( x: uint8ndarray, fcn: Callback, thisArg?: ThisParameterType> ): void;
+
+/**
+* Invokes a callback function once for each ndarray element.
+*
+* @param x - input ndarray
+* @param fcn - callback function
+* @param thisArg - callback function execution context
+*
+* @example
+* var Uint8ClampedArray = require( '@stdlib/array/uint8c' );
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+* var naryFunction = require( '@stdlib/utils/nary-function' );
+* var log = require( '@stdlib/console/log' );
+*
+* var buffer = new Uint8ClampedArray( [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ] );
+* var shape = [ 2, 3 ];
+* var strides = [ 3, 1 ];
+* var offset = 0;
+*
+* var x = ndarray( 'uint8c', buffer, shape, strides, offset, 'row-major' );
+* // returns
+*
+* // Apply the callback function:
+* forEach( x, naryFunction( log, 1 ) );
+*/
+declare function forEach( x: uint8cndarray, fcn: Callback, thisArg?: ThisParameterType> ): void;
+
+/**
+* Invokes a callback function once for each ndarray element.
+*
+* @param x - input ndarray
+* @param fcn - callback function
+* @param thisArg - callback function execution context
+*
+* @example
+* var Complex128Array = require( '@stdlib/array/complex128' );
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+* var naryFunction = require( '@stdlib/utils/nary-function' );
+* var log = require( '@stdlib/console/log' );
+*
+* var buffer = new Complex128Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+* var shape = [ 2, 3 ];
+* var strides = [ 3, 1 ];
+* var offset = 0;
+*
+* var x = ndarray( 'complex128', buffer, shape, strides, offset, 'row-major' );
+* // returns
+*
+* // Apply the callback function:
+* forEach( x, naryFunction( log, 1 ) );
+*/
+declare function forEach( x: complex128ndarray, fcn: Callback, thisArg?: ThisParameterType> ): void;
+
+/**
+* Invokes a callback function once for each ndarray element.
+*
+* @param x - input ndarray
+* @param fcn - callback function
+* @param thisArg - callback function execution context
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+* var naryFunction = require( '@stdlib/utils/nary-function' );
+* var log = require( '@stdlib/console/log' );
+*
+* var buffer = new Complex64Array( [ 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 shape = [ 2, 3 ];
+* var strides = [ 3, 1 ];
+* var offset = 0;
+*
+* var x = ndarray( 'complex64', buffer, shape, strides, offset, 'row-major' );
+* // returns
+*
+* // Apply the callback function:
+* forEach( x, naryFunction( log, 1 ) );
+*/
+declare function forEach( x: complex64ndarray, fcn: Callback, thisArg?: ThisParameterType> ): void;
+
+/**
+* Invokes a callback function once for each ndarray element.
+*
+* @param x - input ndarray
+* @param fcn - callback function
+* @param thisArg - callback function execution context
+*
+* @example
+* var BooleanArray = require( '@stdlib/array/bool' );
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+* var naryFunction = require( '@stdlib/utils/nary-function' );
+* var log = require( '@stdlib/console/log' );
+*
+* var buffer = new BooleanArray( [ true, false, true, false, true, false, true, false, true, false, true, false ] );
+* var shape = [ 2, 3 ];
+* var strides = [ 3, 1 ];
+* var offset = 0;
+*
+* var x = ndarray( 'bool', buffer, shape, strides, offset, 'row-major' );
+* // returns
+*
+* // Apply the callback function:
+* forEach( x, naryFunction( log, 1 ) );
+*/
+declare function forEach( x: boolndarray, fcn: Callback, thisArg?: ThisParameterType> ): void;
+
+/**
+* Invokes a callback function once for each ndarray element.
+*
+* @param x - input ndarray
+* @param fcn - callback function
+* @param thisArg - callback function execution context
+*
+* @example
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+* var naryFunction = require( '@stdlib/utils/nary-function' );
+* var log = require( '@stdlib/console/log' );
+*
+* var buffer = [ 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 shape = [ 2, 3 ];
+* var strides = [ 3, 1 ];
+* var offset = 0;
+*
+* var x = ndarray( 'generic', buffer, shape, strides, offset, 'row-major' );
+* // returns
+*
+* // Apply the callback function:
+* forEach( x, naryFunction( log, 1 ) );
+*/
+declare function forEach( x: genericndarray, fcn: Callback, V>, thisArg?: ThisParameterType, V>> ): void;
+
+/**
+* Invokes a callback function once for each ndarray element.
+*
+* @param x - input ndarray
+* @param fcn - callback function
+* @param thisArg - callback function execution context
+*
+* @example
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+* var naryFunction = require( '@stdlib/utils/nary-function' );
+* var log = require( '@stdlib/console/log' );
+*
+* var buffer = [ 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 shape = [ 2, 3 ];
+* var strides = [ 3, 1 ];
+* var offset = 0;
+*
+* var x = ndarray( 'generic', buffer, shape, strides, offset, 'row-major' );
+* // returns
+*
+* // Apply the callback function:
+* forEach( x, naryFunction( log, 1 ) );
+*/
+declare function forEach( x: typedndarray, fcn: Callback, V>, thisArg?: ThisParameterType, V>> ): void;
+
+
+// EXPORTS //
+
+export = forEach;
diff --git a/lib/node_modules/@stdlib/ndarray/for-each/docs/types/test.ts b/lib/node_modules/@stdlib/ndarray/for-each/docs/types/test.ts
new file mode 100644
index 000000000000..5dbe274fed91
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/for-each/docs/types/test.ts
@@ -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.
+*/
+
+///
+
+import empty = require( '@stdlib/ndarray/base/empty' );
+import zeros = require( '@stdlib/ndarray/base/zeros' );
+import forEach = require( './index' );
+
+/**
+* Callback function.
+*
+* @param v - ndarray element
+* @throws unexpected error
+*/
+function clbk( v: any ): void {
+ if ( v !== v ) {
+ throw new Error( 'unexpected error' );
+ }
+}
+
+// The function returns `undefined`...
+{
+ const sh = [ 2, 2 ];
+ const ord = 'row-major';
+
+ forEach( zeros( 'float64', sh, ord ), clbk ); // $ExpectType void
+ forEach( zeros( 'float64', sh, ord ), clbk, {} ); // $ExpectType void
+ forEach( zeros( 'float32', sh, ord ), clbk ); // $ExpectType void
+ forEach( zeros( 'float32', sh, ord ), clbk, {} ); // $ExpectType void
+ forEach( zeros( 'complex64', sh, ord ), clbk ); // $ExpectType void
+ forEach( zeros( 'complex64', sh, ord ), clbk, {} ); // $ExpectType void
+ forEach( zeros( 'complex128', sh, ord ), clbk ); // $ExpectType void
+ forEach( zeros( 'complex128', sh, ord ), clbk, {} ); // $ExpectType void
+ forEach( zeros( 'int32', sh, ord ), clbk ); // $ExpectType void
+ forEach( zeros( 'int32', sh, ord ), clbk, {} ); // $ExpectType void
+ forEach( zeros( 'int16', sh, ord ), clbk ); // $ExpectType void
+ forEach( zeros( 'int16', sh, ord ), clbk, {} ); // $ExpectType void
+ forEach( zeros( 'int8', sh, ord ), clbk ); // $ExpectType void
+ forEach( zeros( 'int8', sh, ord ), clbk, {} ); // $ExpectType void
+ forEach( zeros( 'uint32', sh, ord ), clbk ); // $ExpectType void
+ forEach( zeros( 'uint32', sh, ord ), clbk, {} ); // $ExpectType void
+ forEach( zeros( 'uint16', sh, ord ), clbk ); // $ExpectType void
+ forEach( zeros( 'uint16', sh, ord ), clbk, {} ); // $ExpectType void
+ forEach( zeros( 'uint8', sh, ord ), clbk ); // $ExpectType void
+ forEach( zeros( 'uint8', sh, ord ), clbk, {} ); // $ExpectType void
+ forEach( zeros( 'uint8c', sh, ord ), clbk ); // $ExpectType void
+ forEach( zeros( 'uint8c', sh, ord ), clbk, {} ); // $ExpectType void
+ forEach( empty( 'bool', sh, ord ), clbk ); // $ExpectType void
+ forEach( empty( 'bool', sh, ord ), clbk, {} ); // $ExpectType void
+ forEach( zeros( 'generic', sh, ord ), clbk ); // $ExpectType void
+ forEach( zeros( 'generic', sh, ord ), clbk, {} ); // $ExpectType void
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an ndarray...
+{
+ forEach( 5, clbk ); // $ExpectError
+ forEach( true, clbk ); // $ExpectError
+ forEach( false, clbk ); // $ExpectError
+ forEach( null, clbk ); // $ExpectError
+ forEach( undefined, clbk ); // $ExpectError
+ forEach( {}, clbk ); // $ExpectError
+ forEach( [ 1 ], clbk ); // $ExpectError
+ forEach( ( x: number ): number => x, clbk ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a callback which is not a function...
+{
+ const x = zeros( 'generic', [ 2, 2 ], 'row-major' );
+
+ forEach( x, '5' ); // $ExpectError
+ forEach( x, true ); // $ExpectError
+ forEach( x, false ); // $ExpectError
+ forEach( x, null ); // $ExpectError
+ forEach( x, undefined ); // $ExpectError
+ forEach( x, {} ); // $ExpectError
+ forEach( x, [ 1 ] ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ forEach(); // $ExpectError
+ forEach( zeros( 'float64', [ 2, 2 ], 'row-major' ) ); // $ExpectError
+ forEach( zeros( 'float64', [ 2, 2 ], 'row-major' ), {}, ( x: number ): number => x, {}, {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/ndarray/for-each/examples/index.js b/lib/node_modules/@stdlib/ndarray/for-each/examples/index.js
new file mode 100644
index 000000000000..eaa889bc55cc
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/for-each/examples/index.js
@@ -0,0 +1,37 @@
+/**
+* @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/array/discrete-uniform' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var naryFunction = require( '@stdlib/utils/nary-function' );
+var log = require( '@stdlib/console/log' );
+var forEach = require( '@stdlib/ndarray/for-each' );
+
+var buffer = discreteUniform( 10, -100, 100, {
+ 'dtype': 'generic'
+});
+var shape = [ 5, 2 ];
+var strides = [ 2, 1 ];
+var offset = 0;
+var x = ndarray( 'generic', buffer, shape, strides, offset, 'row-major' );
+
+log( ndarray2array( x ) );
+forEach( x, naryFunction( log, 2 ) );
diff --git a/lib/node_modules/@stdlib/ndarray/for-each/lib/index.js b/lib/node_modules/@stdlib/ndarray/for-each/lib/index.js
new file mode 100644
index 000000000000..9176632264f5
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/for-each/lib/index.js
@@ -0,0 +1,52 @@
+/**
+* @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';
+
+/**
+* Invoke a callback function once for each ndarray element.
+*
+* @module @stdlib/ndarray/for-each
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+* var naryFunction = require( '@stdlib/utils/nary-function' );
+* var log = require( '@stdlib/console/log' );
+* var forEach = require( '@stdlib/ndarray/for-each' );
+*
+* var buffer = 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 shape = [ 2, 3 ];
+* var strides = [ 6, 1 ];
+* var offset = 1;
+*
+* var x = ndarray( 'float64', buffer, shape, strides, offset, 'row-major' );
+* // returns
+*
+* // Apply the callback function:
+* forEach( x, naryFunction( log, 1 ) );
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/ndarray/for-each/lib/main.js b/lib/node_modules/@stdlib/ndarray/for-each/lib/main.js
new file mode 100644
index 000000000000..af57b9d7e35a
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/for-each/lib/main.js
@@ -0,0 +1,71 @@
+/**
+* @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 isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
+var isFunction = require( '@stdlib/assert/is-function' );
+var base = require( '@stdlib/ndarray/base/for-each' );
+var format = require( '@stdlib/string/format' );
+
+
+// MAIN //
+
+/**
+* Invokes a callback function once for each ndarray element.
+*
+* @param {ndarray} x - input ndarray
+* @param {Callback} fcn - callback function
+* @param {*} [thisArg] - callback execution context
+* @throws {TypeError} first argument must be an ndarray-like object
+* @throws {TypeError} callback argument must be a function
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+* var naryFunction = require( '@stdlib/utils/nary-function' );
+* var log = require( '@stdlib/console/log' );
+*
+* var buffer = 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 shape = [ 2, 3 ];
+* var strides = [ 6, 1 ];
+* var offset = 1;
+*
+* var x = ndarray( 'float64', buffer, shape, strides, offset, 'row-major' );
+* // returns
+*
+* // Apply the callback function:
+* forEach( x, naryFunction( log, 1 ) );
+*/
+function forEach( x, fcn, thisArg ) {
+ if ( !isndarrayLike( x ) ) {
+ throw new TypeError( format( 'invalid argument. First argument must be an ndarray-like object. Value: `%s`.', x ) );
+ }
+ if ( !isFunction( fcn ) ) {
+ throw new TypeError( format( 'invalid argument. Callback argument must be a function. Value: `%s`.', fcn ) );
+ }
+ base( [ x ], fcn, thisArg );
+}
+
+
+// EXPORTS //
+
+module.exports = forEach;
diff --git a/lib/node_modules/@stdlib/ndarray/for-each/package.json b/lib/node_modules/@stdlib/ndarray/for-each/package.json
new file mode 100644
index 000000000000..a9455c3bd04a
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/for-each/package.json
@@ -0,0 +1,65 @@
+{
+ "name": "@stdlib/ndarray/for-each",
+ "version": "0.0.0",
+ "description": "Invoke a callback function once for each ndarray element.",
+ "license": "Apache-2.0",
+ "author": {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ },
+ "contributors": [
+ {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ }
+ ],
+ "main": "./lib",
+ "directories": {
+ "benchmark": "./benchmark",
+ "doc": "./docs",
+ "example": "./examples",
+ "lib": "./lib",
+ "test": "./test"
+ },
+ "types": "./docs/types",
+ "scripts": {},
+ "homepage": "https://github.com/stdlib-js/stdlib",
+ "repository": {
+ "type": "git",
+ "url": "git://github.com/stdlib-js/stdlib.git"
+ },
+ "bugs": {
+ "url": "https://github.com/stdlib-js/stdlib/issues"
+ },
+ "dependencies": {},
+ "devDependencies": {},
+ "engines": {
+ "node": ">=0.10.0",
+ "npm": ">2.7.0"
+ },
+ "os": [
+ "aix",
+ "darwin",
+ "freebsd",
+ "linux",
+ "macos",
+ "openbsd",
+ "sunos",
+ "win32",
+ "windows"
+ ],
+ "keywords": [
+ "stdlib",
+ "base",
+ "strided",
+ "array",
+ "ndarray",
+ "unary",
+ "apply",
+ "foreach",
+ "for-each",
+ "map",
+ "transform"
+ ],
+ "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/ndarray/for-each/test/test.js b/lib/node_modules/@stdlib/ndarray/for-each/test/test.js
new file mode 100644
index 000000000000..0f9922199f03
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/for-each/test/test.js
@@ -0,0 +1,402 @@
+/**
+* @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 tape = require( 'tape' );
+var ones = require( '@stdlib/array/ones' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var naryFunction = require( '@stdlib/utils/nary-function' );
+var log = require( '@stdlib/console/log' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var strides2offset = require( '@stdlib/ndarray/base/strides2offset' );
+var Float64Array = require( '@stdlib/array/float64' );
+var isSameFloat64Array = require( '@stdlib/assert/is-same-float64array' );
+var numel = require( '@stdlib/ndarray/base/numel' );
+var dfill = require( '@stdlib/blas/ext/base/dfill' );
+var blockSize = require( '@stdlib/ndarray/base/unary-tiling-block-size' );
+var forEach = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof forEach, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function throws an error if provided a first argument which is not an ndarray', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ '5',
+ 5,
+ true,
+ false,
+ null,
+ void 0,
+ [],
+ {},
+ function noop() {},
+ {
+ 'data': true
+ }
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[i] ), TypeError, 'throws an error when provided ' + values[i] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ forEach( value, naryFunction( log, 1 ) );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a callback argument which is not a function', function test( t ) {
+ var values;
+ var x;
+ var i;
+
+ values = [
+ '5',
+ 5,
+ true,
+ false,
+ null,
+ void 0,
+ {},
+ []
+ ];
+ x = ndarray( 'generic', ones( 4, 'generic' ), [ 2, 2 ], [ 2, 1 ], 0, 'row-major' );
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[i] ), TypeError, 'throws an error when provided ' + values[i] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ forEach( x, value );
+ };
+ }
+});
+
+tape( 'the function applies a callback to each indexed element in the input ndarray (row-major, contiguous)', function test( t ) {
+ var expected;
+ var ord;
+ var sh;
+ var st;
+ var dt;
+ var o;
+ var x;
+
+ dt = 'float64';
+ ord = 'row-major';
+ sh = [ 2, 1, 2 ];
+ st = shape2strides( sh, ord );
+ o = strides2offset( sh, st );
+
+ x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+ forEach( x, scale );
+
+ expected = new Float64Array([
+ 10.0,
+ 10.0,
+ 10.0,
+ 10.0
+ ]);
+ t.strictEqual( isSameFloat64Array( x.data, expected ), true, 'returns expected value' );
+
+ t.end();
+
+ function scale( v, i ) {
+ x.set( i[0], i[1], i[2], v*10.0 );
+ }
+});
+
+tape( 'the function applies a callback to each indexed element in the input ndarray (column-major, contiguous)', function test( t ) {
+ var expected;
+ var ord;
+ var sh;
+ var st;
+ var dt;
+ var o;
+ var x;
+
+ dt = 'float64';
+ ord = 'column-major';
+ sh = [ 2, 1, 2 ];
+ st = shape2strides( sh, ord );
+ o = strides2offset( sh, st );
+
+ x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+ forEach( x, scale );
+
+ expected = new Float64Array([
+ 10.0,
+ 10.0,
+ 10.0,
+ 10.0
+ ]);
+ t.strictEqual( isSameFloat64Array( x.data, expected ), true, 'returns expected value' );
+
+ t.end();
+
+ function scale( v, i ) {
+ x.set( i[0], i[1], i[2], v*10.0 );
+ }
+});
+
+tape( 'the function applies a callback to each indexed element in the input ndarray (row-major, non-contiguous, large arrays)', function test( t ) {
+ var expected;
+ var bsize;
+ var ord;
+ var sh;
+ var st;
+ var dt;
+ var o;
+ var x;
+
+ dt = 'float64';
+ ord = 'row-major';
+
+ bsize = blockSize( dt );
+ sh = [ bsize*2, 1, 2 ];
+ st = [ -4, -4, 2 ];
+ o = strides2offset( sh, st );
+
+ x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+ forEach( x, scale );
+ expected = ones( x.length*2, dt );
+ dfill.ndarray( x.length, 100.0, expected, st[2], expected.length/2 );
+
+ t.strictEqual( isSameFloat64Array( x.data, expected ), true, 'returns expected value' );
+
+ t.end();
+
+ function scale( v, i ) {
+ x.set( i[0], i[1], i[2], v*10.0 );
+ }
+});
+
+tape( 'the function applies a callback to each indexed element in the input ndarray (column-major, non-contiguous, large arrays)', function test( t ) {
+ var expected;
+ var bsize;
+ var ord;
+ var sh;
+ var st;
+ var dt;
+ var o;
+ var x;
+
+ dt = 'float64';
+ ord = 'column-major';
+
+ bsize = blockSize( dt );
+ sh = [ 2, 1, bsize*2 ];
+ st = [ 2, -4, -4 ];
+ o = strides2offset( sh, st );
+
+ x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+ forEach( x, scale );
+ expected = ones( x.length*2, dt );
+ dfill.ndarray( x.length, 100.0, expected, st[0], expected.length/2 );
+
+ t.strictEqual( isSameFloat64Array( x.data, expected ), true, 'returns expected value' );
+
+ t.end();
+
+ function scale( v, i ) {
+ x.set( i[0], i[1], i[2], v*10.0 );
+ }
+});
+
+tape( 'the function supports providing a callback execution context', function test( t ) {
+ var expected;
+ var ctx;
+ var ord;
+ var sh;
+ var st;
+ var dt;
+ var o;
+ var x;
+
+ dt = 'float64';
+ ord = 'row-major';
+ sh = [ 2, 1, 2 ];
+ st = shape2strides( sh, ord );
+ o = strides2offset( sh, st );
+
+ x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+ ctx = {
+ 'count': 0
+ };
+ forEach( x, scale, ctx );
+
+ expected = new Float64Array([
+ 10.0,
+ 10.0,
+ 10.0,
+ 10.0
+ ]);
+ t.strictEqual( isSameFloat64Array( x.data, expected ), true, 'returns expected value' );
+ t.strictEqual( ctx.count, 4, 'returns expected value' );
+
+ t.end();
+
+ function scale( v, i ) {
+ this.count += 1; // eslint-disable-line no-invalid-this
+ x.set( i[0], i[1], i[2], v*10.0 );
+ }
+});
+
+tape( 'the function invokes a provided callback with three arguments (row-major)', function test( t ) {
+ var expected;
+ var indices;
+ var values;
+ var arrays;
+ var ord;
+ var sh;
+ var st;
+ var dt;
+ var o;
+ var x;
+ var i;
+
+ dt = 'float64';
+ ord = 'row-major';
+ sh = [ 2, 1, 2 ];
+ st = shape2strides( sh, ord );
+ o = strides2offset( sh, st );
+
+ x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+ values = [];
+ indices = [];
+ arrays = [];
+ forEach( x, scale );
+
+ expected = new Float64Array([
+ 10.0,
+ 10.0,
+ 10.0,
+ 10.0
+ ]);
+ t.strictEqual( isSameFloat64Array( x.data, expected ), true, 'returns expected value' );
+
+ expected = [
+ [ 0, 0, 0 ],
+ [ 0, 0, 1 ],
+ [ 1, 0, 0 ],
+ [ 1, 0, 1 ]
+ ];
+ t.deepEqual( indices, expected, 'returns expected value' );
+
+ expected = [
+ x,
+ x,
+ x,
+ x
+ ];
+ for ( i = 0; i < expected.length; i++ ) {
+ t.strictEqual( arrays[ i ], expected[ i ], 'returns expected value' );
+ }
+
+ t.end();
+
+ function scale( v, i, arr ) {
+ values.push( v );
+ indices.push( i );
+ arrays.push( arr );
+ x.set( i[0], i[1], i[2], v*10.0 );
+ }
+});
+
+tape( 'the function invokes a provided callback with three arguments (column-major)', function test( t ) {
+ var expected;
+ var indices;
+ var values;
+ var arrays;
+ var ord;
+ var sh;
+ var st;
+ var dt;
+ var o;
+ var x;
+ var i;
+
+ dt = 'float64';
+ ord = 'column-major';
+ sh = [ 2, 1, 2 ];
+ st = shape2strides( sh, ord );
+ o = strides2offset( sh, st );
+
+ x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+ values = [];
+ indices = [];
+ arrays = [];
+ forEach( x, scale );
+
+ expected = new Float64Array([
+ 10.0,
+ 10.0,
+ 10.0,
+ 10.0
+ ]);
+ t.strictEqual( isSameFloat64Array( x.data, expected ), true, 'returns expected value' );
+
+ expected = [
+ [ 0, 0, 0 ],
+ [ 1, 0, 0 ],
+ [ 0, 0, 1 ],
+ [ 1, 0, 1 ]
+ ];
+ t.deepEqual( indices, expected, 'returns expected value' );
+
+ expected = [
+ x,
+ x,
+ x,
+ x
+ ];
+ for ( i = 0; i < expected.length; i++ ) {
+ t.strictEqual( arrays[ i ], expected[ i ], 'returns expected value' );
+ }
+
+ t.end();
+
+ function scale( v, i, arr ) {
+ values.push( v );
+ indices.push( i );
+ arrays.push( arr );
+ x.set( i[0], i[1], i[2], v*10.0 );
+ }
+});