diff --git a/lib/node_modules/@stdlib/stats/array/mskrange/README.md b/lib/node_modules/@stdlib/stats/array/mskrange/README.md
new file mode 100644
index 000000000000..d2776b057060
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/array/mskrange/README.md
@@ -0,0 +1,118 @@
+
+
+# mskrange
+
+> Calculate the [range][range] of an array according to a mask.
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var mskrange = require( '@stdlib/stats/array/mskrange' );
+```
+
+#### mskrange( x, mask )
+
+Computes the [range][range] of an array according to a mask.
+
+```javascript
+var x = [ 1.0, -2.0, 4.0, 2.0 ];
+var mask = [ 0, 0, 1, 0 ];
+
+var v = mskrange( x, mask );
+// returns 4.0
+```
+
+The function has the following parameters:
+
+- **x**: input array.
+- **mask**: mask array. If a `mask` array element is `0`, the corresponding element in `x` is considered valid and **included** in computation. If a `mask` array element is `1`, the corresponding element in `x` is considered invalid/missing and **excluded** from computation.
+
+
+
+
+
+
+
+## Notes
+
+- If provided an empty array, the function returns `NaN`.
+- The function supports array-like objects having getter and setter accessors for array element access (e.g., [`@stdlib/array/base/accessor`][@stdlib/array/base/accessor]).
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var uniform = require( '@stdlib/random/array/uniform' );
+var bernoulli = require( '@stdlib/random/array/bernoulli' );
+var mskrange = require( '@stdlib/stats/array/mskrange' );
+
+var x = uniform( 10, -50.0, 50.0, {
+ 'dtype': 'float64'
+});
+console.log( x );
+
+var mask = bernoulli( x.length, 0.2, {
+ 'dtype': 'uint8'
+});
+console.log( mask );
+
+var v = mskrange( x, mask );
+console.log( v );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[range]: https://en.wikipedia.org/wiki/Range_%28statistics%29
+
+[@stdlib/array/base/accessor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/base/accessor
+
+
+
+
diff --git a/lib/node_modules/@stdlib/stats/array/mskrange/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/array/mskrange/benchmark/benchmark.js
new file mode 100644
index 000000000000..983cc5fe7039
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/array/mskrange/benchmark/benchmark.js
@@ -0,0 +1,98 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var bernoulli = require( '@stdlib/random/array/bernoulli' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var pkg = require( './../package.json' ).name;
+var mskrange = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'generic'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var mask = bernoulli( len, 0.2, options );
+ var x = uniform( len, -10, 10, options );
+ return benchmark;
+
+ function benchmark( b ) {
+ var v;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = mskrange( x, mask );
+ if ( isnan( v ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( v ) ) {
+ 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 f;
+ var i;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+ f = createBenchmark( len );
+ bench( pkg+':len='+len, f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/stats/array/mskrange/docs/repl.txt b/lib/node_modules/@stdlib/stats/array/mskrange/docs/repl.txt
new file mode 100644
index 000000000000..1939587fc6ba
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/array/mskrange/docs/repl.txt
@@ -0,0 +1,35 @@
+
+{{alias}}( x, mask )
+ Computes the range of an array according to a mask.
+
+ If a `mask` array element is `0`, the corresponding element in `x` is
+ considered valid and included in computation.
+
+ If a `mask` array element is `1`, the corresponding element in `x` is
+ considered invalid/missing and excluded from computation.
+
+ If provided an empty array, the function returns `NaN`.
+
+ Parameters
+ ----------
+ x: Array|TypedArray
+ Input array.
+
+ mask: Array|TypedArray
+ Mask array.
+
+ Returns
+ -------
+ out: number
+ Range.
+
+ Examples
+ --------
+ > var x = [ 1.0, -2.0, 4.0, 2.0 ];
+ > var msk = [ 0, 0, 1, 0 ];
+ > {{alias}}( x, msk )
+ 4.0
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/stats/array/mskrange/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/array/mskrange/docs/types/index.d.ts
new file mode 100644
index 000000000000..db50b86a8f73
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/array/mskrange/docs/types/index.d.ts
@@ -0,0 +1,49 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+// TypeScript Version: 4.1
+
+///
+
+import { NumericArray, Collection, AccessorArrayLike } from '@stdlib/types/array';
+
+/**
+* Input array.
+*/
+type InputArray = NumericArray | Collection | AccessorArrayLike;
+
+/**
+* Computes the range of an array according to a mask.
+*
+* @param x - input array
+* @param mask - mask array
+* @returns range
+*
+* @example
+* var x = [ 1.0, -2.0, 4.0, 2.0 ];
+* var mask = [ 0, 0, 1, 0 ];
+*
+* var v = mskrange( x, mask );
+* // returns 4.0
+*/
+declare function mskrange( x: InputArray, mask: InputArray ): number;
+
+
+// EXPORTS //
+
+export = mskrange;
diff --git a/lib/node_modules/@stdlib/stats/array/mskrange/docs/types/test.ts b/lib/node_modules/@stdlib/stats/array/mskrange/docs/types/test.ts
new file mode 100644
index 000000000000..b4de82e16980
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/array/mskrange/docs/types/test.ts
@@ -0,0 +1,70 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+import AccessorArray = require( '@stdlib/array/base/accessor' );
+import mskrange = require( './index' );
+
+
+// TESTS //
+
+// The function returns a number...
+{
+ const x = new Float64Array( 10 );
+ const mask = new Uint8Array( 10 );
+
+ mskrange( x, mask ); // $ExpectType number
+ mskrange( new AccessorArray( x ), mask ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a numeric array...
+{
+ const mask = new Uint8Array( 10 );
+
+ mskrange( 10, mask ); // $ExpectError
+ mskrange( '10', mask ); // $ExpectError
+ mskrange( true, mask ); // $ExpectError
+ mskrange( false, mask ); // $ExpectError
+ mskrange( null, mask ); // $ExpectError
+ mskrange( undefined, mask ); // $ExpectError
+ mskrange( {}, mask ); // $ExpectError
+ mskrange( ( x: number ): number => x, mask ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a numeric array...
+{
+ const x = new Float64Array( 10 );
+
+ mskrange( x, 10 ); // $ExpectError
+ mskrange( x, '10' ); // $ExpectError
+ mskrange( x, true ); // $ExpectError
+ mskrange( x, false ); // $ExpectError
+ mskrange( x, null ); // $ExpectError
+ mskrange( x, undefined ); // $ExpectError
+ mskrange( x, {} ); // $ExpectError
+ mskrange( x, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const x = new Float64Array( 10 );
+ const mask = new Uint8Array( 10 );
+
+ mskrange(); // $ExpectError
+ mskrange( x ); // $ExpectError
+ mskrange( x, mask, {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/array/mskrange/examples/index.js b/lib/node_modules/@stdlib/stats/array/mskrange/examples/index.js
new file mode 100644
index 000000000000..7e43f1eb0be4
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/array/mskrange/examples/index.js
@@ -0,0 +1,36 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var uniform = require( '@stdlib/random/array/uniform' );
+var bernoulli = require( '@stdlib/random/array/bernoulli' );
+var mskrange = require( './../lib' );
+
+var x = uniform( 10, -50.0, 50.0, {
+ 'dtype': 'float64'
+});
+console.log( x );
+
+var mask = bernoulli( x.length, 0.2, {
+ 'dtype': 'uint8'
+});
+console.log( mask );
+
+var v = mskrange( x, mask );
+console.log( v );
diff --git a/lib/node_modules/@stdlib/stats/array/mskrange/lib/index.js b/lib/node_modules/@stdlib/stats/array/mskrange/lib/index.js
new file mode 100644
index 000000000000..ef846f78fc4d
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/array/mskrange/lib/index.js
@@ -0,0 +1,43 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+/**
+* Compute the range of an array according to a mask.
+*
+* @module @stdlib/stats/array/mskrange
+*
+* @example
+* var mskrange = require( '@stdlib/stats/array/mskrange' );
+*
+* var x = [ 1.0, -2.0, 4.0, 2.0 ];
+* var mask = [ 0, 0, 1, 0 ];
+*
+* var v = mskrange( x, mask );
+* // returns 4.0
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/stats/array/mskrange/lib/main.js b/lib/node_modules/@stdlib/stats/array/mskrange/lib/main.js
new file mode 100644
index 000000000000..448ced6bbb91
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/array/mskrange/lib/main.js
@@ -0,0 +1,84 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var isCollection = require( '@stdlib/assert/is-collection' );
+var dtypes = require( '@stdlib/array/dtypes' );
+var dtype = require( '@stdlib/array/dtype' );
+var contains = require( '@stdlib/array/base/assert/contains' );
+var join = require( '@stdlib/array/base/join' );
+var strided = require( '@stdlib/stats/base/mskrange' ).ndarray;
+var format = require( '@stdlib/string/format' );
+
+
+// VARIABLES //
+
+var IDTYPES = dtypes( 'real_and_generic' ); // note: applicable for both the input and mask arrays
+var GENERIC_DTYPE = 'generic';
+
+
+// MAIN //
+
+/**
+* Computes the range of an array according to a mask.
+*
+* @param {NumericArray} x - input array
+* @param {NumericArray} mask - mask array
+* @throws {TypeError} first argument must be an array-like object
+* @throws {TypeError} first argument must have a supported data type
+* @throws {TypeError} second argument must be an array-like object
+* @throws {TypeError} second argument must have a supported data type
+* @throws {RangeError} first and second arguments must have the same length
+* @returns {number} range
+*
+* @example
+* var x = [ 1.0, -2.0, 4.0, 2.0 ];
+* var mask = [ 0, 0, 1, 0 ];
+*
+* var v = mskrange( x, mask );
+* // returns 4.0
+*/
+function mskrange( x, mask ) {
+ var dt;
+ if ( !isCollection( x ) ) {
+ throw new TypeError( format( 'invalid argument. First argument must be an array-like object. Value: `%s`.', x ) );
+ }
+ dt = dtype( x ) || GENERIC_DTYPE;
+ if ( !contains( IDTYPES, dt ) ) {
+ throw new TypeError( format( 'invalid argument. First argument must have one of the following data types: "%s". Data type: `%s`.', join( IDTYPES, '", "' ), dt ) );
+ }
+ if ( !isCollection( mask ) ) {
+ throw new TypeError( format( 'invalid argument. Second argument must be an array-like object. Value: `%s`.', mask ) );
+ }
+ dt = dtype( mask ) || GENERIC_DTYPE;
+ if ( !contains( IDTYPES, dt ) ) {
+ throw new TypeError( format( 'invalid argument. Second argument must have one of the following data types: "%s". Data type: `%s`.', join( IDTYPES, '", "' ), dt ) );
+ }
+ if ( x.length !== mask.length ) {
+ throw new RangeError( format( 'invalid arguments. First and second arguments must have the same length.' ) );
+ }
+ return strided( x.length, x, 1, 0, mask, 1, 0 );
+}
+
+
+// EXPORTS //
+
+module.exports = mskrange;
diff --git a/lib/node_modules/@stdlib/stats/array/mskrange/package.json b/lib/node_modules/@stdlib/stats/array/mskrange/package.json
new file mode 100644
index 000000000000..ec2b6c7ba0f2
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/array/mskrange/package.json
@@ -0,0 +1,72 @@
+{
+ "name": "@stdlib/stats/array/mskrange",
+ "version": "0.0.0",
+ "description": "Calculate the range of an array according to a mask.",
+ "license": "Apache-2.0",
+ "author": {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ },
+ "contributors": [
+ {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ }
+ ],
+ "main": "./lib",
+ "directories": {
+ "benchmark": "./benchmark",
+ "doc": "./docs",
+ "example": "./examples",
+ "lib": "./lib",
+ "test": "./test"
+ },
+ "types": "./docs/types",
+ "scripts": {},
+ "homepage": "https://github.com/stdlib-js/stdlib",
+ "repository": {
+ "type": "git",
+ "url": "git://github.com/stdlib-js/stdlib.git"
+ },
+ "bugs": {
+ "url": "https://github.com/stdlib-js/stdlib/issues"
+ },
+ "dependencies": {},
+ "devDependencies": {},
+ "engines": {
+ "node": ">=0.10.0",
+ "npm": ">2.7.0"
+ },
+ "os": [
+ "aix",
+ "darwin",
+ "freebsd",
+ "linux",
+ "macos",
+ "openbsd",
+ "sunos",
+ "win32",
+ "windows"
+ ],
+ "keywords": [
+ "stdlib",
+ "stdmath",
+ "statistics",
+ "stats",
+ "mathematics",
+ "math",
+ "maximum",
+ "max",
+ "minimum",
+ "min",
+ "range",
+ "extremes",
+ "domain",
+ "extent",
+ "array",
+ "masked",
+ "mask",
+ "masked array"
+ ],
+ "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/stats/array/mskrange/test/test.js b/lib/node_modules/@stdlib/stats/array/mskrange/test/test.js
new file mode 100644
index 000000000000..69dbc629b766
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/array/mskrange/test/test.js
@@ -0,0 +1,327 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+var isPositiveZero = require( '@stdlib/math/base/assert/is-positive-zero' );
+var BooleanArray = require( '@stdlib/array/bool' );
+var Complex128Array = require( '@stdlib/array/complex128' );
+var mskrange = require( './../lib/main.js' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof mskrange, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 2', function test( t ) {
+ t.strictEqual( mskrange.length, 2, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function throws an error if provided a first argument which is not an array-like object', function test( t ) {
+ var values;
+ var mask;
+ var i;
+
+ mask = [ 1, 0, 1, 1 ];
+
+ values = [
+ '5',
+ 5,
+ NaN,
+ true,
+ false,
+ null,
+ void 0,
+ {},
+ function noop() {}
+ ];
+ 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() {
+ mskrange( value, mask );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a first argument which has an unsupported data type', function test( t ) {
+ var values;
+ var mask;
+ var i;
+
+ mask = [ 1, 0, 1, 1 ];
+
+ values = [
+ new BooleanArray( 4 ),
+ new Complex128Array( 4 )
+ ];
+ 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() {
+ mskrange( value, mask );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a second argument which is not an array-like object', function test( t ) {
+ var values;
+ var x;
+ var i;
+
+ x = [ 1, 0, 1, 1 ];
+
+ values = [
+ '5',
+ 5,
+ NaN,
+ true,
+ false,
+ null,
+ void 0,
+ {},
+ function noop() {}
+ ];
+ 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() {
+ mskrange( x, value );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a second argument which has an unsupported data type', function test( t ) {
+ var values;
+ var x;
+ var i;
+
+ x = [ 1, 0, 1, 1 ];
+
+ values = [
+ new BooleanArray( 4 ),
+ new Complex128Array( 4 )
+ ];
+ 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() {
+ mskrange( x, value );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided unequal length arrays', function test( t ) {
+ var values;
+ var x;
+ var i;
+
+ x = [ 1, 0, 1 ];
+
+ values = [
+ [],
+ [ 1 ],
+ [ 1, 0 ],
+ [ 1, 0, 1, 0 ],
+ [ 1, 0, 1, 0, 1 ]
+ ];
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ mskrange( x, value );
+ };
+ }
+});
+
+tape( 'the function calculates the range of an array', function test( t ) {
+ var mask;
+ var x;
+ var v;
+
+ x = [ 1.0, -2.0, -4.0, NaN, 5.0, 0.0, 3.0 ];
+ mask = [ 0, 0, 0, 1, 0, 0, 0 ];
+ v = mskrange( x, mask );
+ t.strictEqual( v, 9.0, 'returns expected value' );
+
+ x = [ -4.0, NaN, -5.0 ];
+ mask = [ 0, 1, 0 ];
+ v = mskrange( x, mask );
+ t.strictEqual( v, 1.0, 'returns expected value' );
+
+ x = [ -0.0, 0.0, NaN, -0.0 ];
+ mask = [ 0, 0, 1, 0 ];
+ v = mskrange( x, mask );
+ t.strictEqual( isPositiveZero( v ), true, 'returns expected value' );
+
+ x = [ -4.0, 0.0, NaN, 5.0 ];
+ mask = [ 0, 0, 0, 0 ];
+ v = mskrange( x, mask );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ x = [ NaN ];
+ mask = [ 0 ];
+ v = mskrange( x, mask );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ x = [ NaN, NaN ];
+ mask = [ 1, 1 ];
+ v = mskrange( x, mask );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ x = [ NaN, NaN ];
+ mask = [ 1, 0 ];
+ v = mskrange( x, mask );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ x = [ NaN, NaN ];
+ mask = [ 0, 1 ];
+ v = mskrange( x, mask );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ x = [ NaN, NaN ];
+ mask = [ 0, 0 ];
+ v = mskrange( x, mask );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function calculates the range of an array (accessors)', function test( t ) {
+ var mask;
+ var x;
+ var v;
+
+ x = [ 1.0, -2.0, -4.0, NaN, 5.0, 0.0, 3.0 ];
+ mask = [ 0, 0, 0, 1, 0, 0, 0 ];
+ v = mskrange( toAccessorArray( x ), toAccessorArray( mask ) );
+ t.strictEqual( v, 9.0, 'returns expected value' );
+
+ x = [ -4.0, NaN, -5.0 ];
+ mask = [ 0, 1, 0 ];
+ v = mskrange( toAccessorArray( x ), toAccessorArray( mask ) );
+ t.strictEqual( v, 1.0, 'returns expected value' );
+
+ x = [ -0.0, 0.0, NaN, -0.0 ];
+ mask = [ 0, 0, 1, 0 ];
+ v = mskrange( toAccessorArray( x ), toAccessorArray( mask ) );
+ t.strictEqual( isPositiveZero( v ), true, 'returns expected value' );
+
+ x = [ -4.0, 0.0, NaN, 5.0 ];
+ mask = [ 0, 0, 0, 0 ];
+ v = mskrange( toAccessorArray( x ), toAccessorArray( mask ) );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ x = [ NaN ];
+ mask = [ 0 ];
+ v = mskrange( toAccessorArray( x ), toAccessorArray( mask ) );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ x = [ NaN, NaN ];
+ mask = [ 1, 1 ];
+ v = mskrange( toAccessorArray( x ), toAccessorArray( mask ) );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ x = [ NaN, NaN ];
+ mask = [ 1, 0 ];
+ v = mskrange( toAccessorArray( x ), toAccessorArray( mask ) );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ x = [ NaN, NaN ];
+ mask = [ 0, 1 ];
+ v = mskrange( toAccessorArray( x ), toAccessorArray( mask ) );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ x = [ NaN, NaN ];
+ mask = [ 0, 0 ];
+ v = mskrange( toAccessorArray( x ), toAccessorArray( mask ) );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function calculates the range of an array (array-like object)', function test( t ) {
+ var mask;
+ var x;
+ var v;
+
+ mask = [ 0, 0, 0, 1, 0, 0, 0 ];
+ x = {
+ 'length': 7,
+ '0': 1.0,
+ '1': -2.0,
+ '2': -4.0,
+ '3': NaN,
+ '4': 5.0,
+ '5': 0.0,
+ '6': 3.0
+ };
+ v = mskrange( x, mask );
+ t.strictEqual( v, 9.0, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided an empty array, the function returns `NaN`', function test( t ) {
+ var v = mskrange( [], [] );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided an empty array, the function returns `NaN` (accessors)', function test( t ) {
+ var v = mskrange( toAccessorArray( [] ), toAccessorArray( [] ) );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided an array containing a single element, the function returns `0`', function test( t ) {
+ var v = mskrange( [ 1.0 ], [ 0 ] );
+ t.strictEqual( v, 0.0, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided an array containing a single element, the function returns `0` (accessors)', function test( t ) {
+ var v = mskrange( toAccessorArray( [ 1.0 ] ), toAccessorArray( [ 0 ] ) );
+ t.strictEqual( v, 0.0, 'returns expected value' );
+ t.end();
+});