diff --git a/lib/node_modules/@stdlib/stats/incr/nanminmax/README.md b/lib/node_modules/@stdlib/stats/incr/nanminmax/README.md
new file mode 100644
index 000000000000..d253ba8c33cf
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nanminmax/README.md
@@ -0,0 +1,155 @@
+
+
+# incrnanminmax
+
+> Compute a minimum and maximum incrementally, ignoring `NaN` values.
+
+
+
+## Usage
+
+```javascript
+var incrnanminmax = require( '@stdlib/stats/incr/nanminmax' );
+```
+
+#### incrnanminmax( \[out] )
+
+Returns an accumulator function which incrementally computes a minimum and maximum, ignoring `NaN` values.
+
+```javascript
+var accumulator = incrnanminmax();
+```
+
+#### accumulator( \[x] )
+
+If provided an input value `x`, the accumulator function returns updated minimum and maximum values. If not provided an input value `x`, the accumulator function returns the current minimum and maximum values.
+
+```javascript
+var accumulator = incrnanminmax();
+
+var mm = accumulator();
+// returns null
+
+mm = accumulator( 2.0 );
+// returns [ 2.0, 2.0 ]
+
+mm = accumulator( 1.0 );
+// returns [ 1.0, 2.0 ]
+
+mm = accumulator( 3.0 );
+// returns [ 1.0, 3.0 ]
+
+mm = accumulator( -7.0 );
+// returns [ -7.0, 3.0 ]
+
+mm = accumulator( NaN );
+// returns [ -7.0, 3.0 ]
+
+mm = accumulator( -5.0 );
+// returns [ -7.0, 3.0 ]
+
+mm = accumulator();
+// returns [ -7.0, 3.0 ]
+```
+
+
+
+
+
+
+
+## Notes
+
+- Input values are **not** type checked. If non-numeric inputs are possible, you are advised to type check and handle accordingly **before** passing the value to the accumulator function.
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var randu = require( '@stdlib/random/base/randu' );
+var incrnanminmax = require( '@stdlib/stats/incr/nanminmax' );
+
+var accumulator;
+var v;
+var i;
+
+// Initialize an accumulator:
+accumulator = incrnanminmax();
+
+// For each simulated datum, update the minimum and maximum...
+for ( i = 0; i < 100; i++ ) {
+ if ( randu() < 0.2 ) {
+ v = NaN;
+ } else {
+ v = randu() * 100.0;
+ }
+ accumulator( v );
+}
+console.log( accumulator() );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[@stdlib/stats/incr/max]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/incr/max
+
+[@stdlib/stats/incr/min]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/incr/min
+
+[@stdlib/stats/incr/mminmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/incr/mminmax
+
+[@stdlib/stats/incr/range]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/incr/range
+
+
+
+
+
+
diff --git a/lib/node_modules/@stdlib/stats/incr/nanminmax/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/incr/nanminmax/benchmark/benchmark.js
new file mode 100644
index 000000000000..369745414825
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nanminmax/benchmark/benchmark.js
@@ -0,0 +1,69 @@
+/**
+* @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 randu = require( '@stdlib/random/base/randu' );
+var pkg = require( './../package.json' ).name;
+var incrnanminmax = require( './../lib' );
+
+
+// MAIN //
+
+bench( pkg, function benchmark( b ) {
+ var f;
+ var i;
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ f = incrnanminmax();
+ if ( typeof f !== 'function' ) {
+ b.fail( 'should return a function' );
+ }
+ }
+ b.toc();
+ if ( typeof f !== 'function' ) {
+ b.fail( 'should return a function' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
+
+bench( pkg+'::accumulator', function benchmark( b ) {
+ var acc;
+ var v;
+ var i;
+
+ acc = incrnanminmax();
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = acc( randu() );
+ if ( v.length !== 2 ) {
+ b.fail( 'should contain two elements' );
+ }
+ }
+ b.toc();
+ if ( v[ 0 ] !== v[ 0 ] || v[ 1 ] !== v[ 1 ] ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/incr/nanminmax/docs/repl.txt b/lib/node_modules/@stdlib/stats/incr/nanminmax/docs/repl.txt
new file mode 100644
index 000000000000..4a5ec35d5c91
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nanminmax/docs/repl.txt
@@ -0,0 +1,40 @@
+
+{{alias}}( [out] )
+ Returns an accumulator function which incrementally computes a minimum and
+ maximum, ignoring `NaN` values.
+
+ If provided a value, the accumulator function returns an updated minimum and
+ maximum. If not provided a value, the accumulator function returns the
+ current minimum and maximum.
+
+ Parameters
+ ----------
+ out: Array|TypedArray (optional)
+ Output array.
+
+ Returns
+ -------
+ acc: Function
+ Accumulator function.
+
+ Examples
+ --------
+ > var accumulator = {{alias}}();
+ > var mm = accumulator()
+ null
+ > mm = accumulator( 2.0 )
+ [ 2.0, 2.0 ]
+ > mm = accumulator( -5.0 )
+ [ -5.0, 2.0 ]
+ > mm = accumulator( 3.0 )
+ [ -5.0, 3.0 ]
+ > mm = accumulator( NaN )
+ [ -5.0, 3.0 ]
+ > mm = accumulator( 5.0 )
+ [ -5.0, 5.0 ]
+ > mm = accumulator()
+ [ -5.0, 5.0 ]
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/stats/incr/nanminmax/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/incr/nanminmax/docs/types/index.d.ts
new file mode 100644
index 000000000000..69950d9d50da
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nanminmax/docs/types/index.d.ts
@@ -0,0 +1,68 @@
+/*
+* @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 { ArrayLike } from '@stdlib/types/array';
+
+/**
+* If provided a value, the accumulator function returns updated minimum and maximum values. If not provided a value, the accumulator function returns the current minimum and maximum values.
+*
+* @param x - input value
+* @returns output array or null
+*/
+type accumulator = ( x?: number ) => ArrayLike | null;
+
+/**
+* Returns an accumulator function which incrementally computes minimum and maximum values.
+*
+* @param out - output array
+* @returns accumulator function
+*
+* @example
+* var accumulator = incrnanminmax();
+*
+* var mm = accumulator();
+* // returns null
+*
+* mm = accumulator( 2.0 );
+* // returns [ 2.0, 2.0 ]
+*
+* mm = accumulator( -5.0 );
+* // returns [ -5.0, 2.0 ]
+*
+* mm = accumulator( 3.0 );
+* // returns [ -5.0, 3.0 ]
+*
+* mm = accumulator( NaN );
+* // returns [ -5.0, 3.0 ]
+*
+* mm = accumulator( 5.0 );
+* // returns [ -5.0, 5.0 ]
+*
+* mm = accumulator();
+* // returns [ -5.0, 5.0 ]
+*/
+declare function incrnanminmax( out?: ArrayLike ): accumulator;
+
+
+// EXPORTS //
+
+export = incrnanminmax;
diff --git a/lib/node_modules/@stdlib/stats/incr/nanminmax/docs/types/test.ts b/lib/node_modules/@stdlib/stats/incr/nanminmax/docs/types/test.ts
new file mode 100644
index 000000000000..ad697883cf09
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nanminmax/docs/types/test.ts
@@ -0,0 +1,61 @@
+/*
+* @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 incrnanminmax = require( './index' );
+
+
+// TESTS //
+
+// The function returns an accumulator function...
+{
+ incrnanminmax(); // $ExpectType accumulator
+ const out = [ 0.0, 0.0 ];
+ incrnanminmax( out ); // $ExpectType accumulator
+}
+
+// The compiler throws an error if the function is provided an argument that is not an array-like object of numbers...
+{
+ incrnanminmax( '5' ); // $ExpectError
+ incrnanminmax( 5 ); // $ExpectError
+ incrnanminmax( true ); // $ExpectError
+ incrnanminmax( false ); // $ExpectError
+ incrnanminmax( null ); // $ExpectError
+ incrnanminmax( {} ); // $ExpectError
+ incrnanminmax( ( x: number ): number => x ); // $ExpectError
+}
+
+// The function returns an accumulator function which returns an accumulated result...
+{
+ const acc = incrnanminmax();
+
+ acc(); // $ExpectType ArrayLike | null
+ acc( 3.14 ); // $ExpectType ArrayLike | null
+}
+
+// The compiler throws an error if the returned accumulator function is provided invalid arguments...
+{
+ const acc = incrnanminmax();
+
+ acc( '5' ); // $ExpectError
+ acc( true ); // $ExpectError
+ acc( false ); // $ExpectError
+ acc( null ); // $ExpectError
+ acc( [] ); // $ExpectError
+ acc( {} ); // $ExpectError
+ acc( ( x: number ): number => x ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/incr/nanminmax/examples/index.js b/lib/node_modules/@stdlib/stats/incr/nanminmax/examples/index.js
new file mode 100644
index 000000000000..409a7ecb827d
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nanminmax/examples/index.js
@@ -0,0 +1,42 @@
+/**
+* @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 randu = require( '@stdlib/random/base/randu' );
+var incrnanminmax = require( './../lib' );
+
+var accumulator;
+var mm;
+var v;
+var i;
+
+// Initialize an accumulator:
+accumulator = incrnanminmax();
+
+// For each simulated datum, update the minimum and maximum...
+console.log( '\nValue\tMin\tMax\n' );
+for ( i = 0; i < 100; i++ ) {
+ if ( randu() < 0.2 ) {
+ v = NaN;
+ } else {
+ v = randu() * 100.0;
+ }
+ mm = accumulator( v );
+ console.log( '%d\t%d\t%d', v.toFixed( 4 ), ( mm === null ) ? NaN : mm[ 0 ].toFixed( 4 ), ( mm === null ) ? NaN : mm[ 1 ].toFixed( 4 ) );
+}
diff --git a/lib/node_modules/@stdlib/stats/incr/nanminmax/lib/index.js b/lib/node_modules/@stdlib/stats/incr/nanminmax/lib/index.js
new file mode 100644
index 000000000000..4d19e0f3fdd7
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nanminmax/lib/index.js
@@ -0,0 +1,60 @@
+/**
+* @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 a minimum and maximum incrementally, ignoring `NaN` values.
+*
+* @module @stdlib/stats/incr/nanminmax
+*
+* @example
+* var incrnanminmax = require( '@stdlib/stats/incr/nanminmax' );
+*
+* var accumulator = incrnanminmax();
+*
+* var mm = accumulator();
+* // returns null
+*
+* mm = accumulator( 2.0 );
+* // returns [ 2.0, 2.0 ]
+*
+* mm = accumulator( -5.0 );
+* // returns [ -5.0, 2.0 ]
+*
+* mm = accumulator( 3.0 );
+* // returns [ -5.0, 3.0 ]
+*
+* mm = accumulator( NaN );
+* // returns [ -5.0, 3.0 ]
+*
+* mm = accumulator( 5.0 );
+* // returns [ -5.0, 5.0 ]
+*
+* mm = accumulator();
+* // returns [ -5.0, 5.0 ]
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/stats/incr/nanminmax/lib/main.js b/lib/node_modules/@stdlib/stats/incr/nanminmax/lib/main.js
new file mode 100644
index 000000000000..5f2d4b133342
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nanminmax/lib/main.js
@@ -0,0 +1,86 @@
+/**
+* @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 isnan = require( '@stdlib/math/base/assert/is-nan' );
+var incrminmax = require( '@stdlib/stats/incr/minmax' );
+
+
+// MAIN //
+
+/**
+* Returns an accumulator function which incrementally computes minimum and maximum values, ignoring `NaN` values.
+*
+* @param {Collection} [out] - output array
+* @returns {Function} accumulator function
+*
+* @example
+* var accumulator = incrnanminmax();
+*
+* var mm = accumulator();
+* // returns null
+*
+* mm = accumulator( 2.0 );
+* // returns [ 2.0, 2.0 ]
+*
+* mm = accumulator( -5.0 );
+* // returns [ -5.0, 2.0 ]
+*
+* mm = accumulator( 3.0 );
+* // returns [ -5.0, 3.0 ]
+*
+* mm = accumulator( NaN );
+* // returns [ -5.0, 3.0 ]
+*
+* mm = accumulator( 5.0 );
+* // returns [ -5.0, 5.0 ]
+*
+* mm = accumulator();
+* // returns [ -5.0, 5.0 ]
+*/
+function incrnanminmax( out ) {
+ var minmax;
+ if ( arguments.length === 0 ) {
+ minmax = incrminmax();
+ } else {
+ minmax = incrminmax( out );
+ }
+ return accumulator;
+
+ /**
+ * If provided a value, the accumulator function returns updated minimum and maximum values. If not provided a value, the accumulator function returns the current minimum and maximum values.
+ *
+ * @private
+ * @param {number} [x] - input value
+ * @returns {(ArrayLikeObject|null)} output array or null
+ */
+ function accumulator( x ) {
+ if ( arguments.length === 0 || isnan( x ) ) {
+ return minmax();
+ }
+ return minmax( x );
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = incrnanminmax;
diff --git a/lib/node_modules/@stdlib/stats/incr/nanminmax/package.json b/lib/node_modules/@stdlib/stats/incr/nanminmax/package.json
new file mode 100644
index 000000000000..778cd69e0378
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nanminmax/package.json
@@ -0,0 +1,70 @@
+{
+ "name": "@stdlib/stats/incr/nanminmax",
+ "version": "0.0.0",
+ "description": "Compute a minimum and maximum incrementally, ignoring NaN values.",
+ "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",
+ "dispersion",
+ "variance",
+ "range",
+ "extent",
+ "extrema",
+ "incremental",
+ "accumulator"
+ ]
+}
diff --git a/lib/node_modules/@stdlib/stats/incr/nanminmax/test/test.js b/lib/node_modules/@stdlib/stats/incr/nanminmax/test/test.js
new file mode 100644
index 000000000000..9a4ef628ccab
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nanminmax/test/test.js
@@ -0,0 +1,223 @@
+/**
+* @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 isNegativeZero = require( '@stdlib/math/base/assert/is-negative-zero' );
+var isPositiveZero = require( '@stdlib/math/base/assert/is-positive-zero' );
+var incrnanminmax = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof incrnanminmax, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function throws an error if not provided an array-like object for an output argument', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ '5',
+ -5.0,
+ true,
+ false,
+ null,
+ void 0,
+ NaN,
+ {},
+ 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() {
+ incrnanminmax( value );
+ };
+ }
+});
+
+tape( 'the function returns an accumulator function', function test( t ) {
+ t.equal( typeof incrnanminmax(), 'function', 'returns a function' );
+ t.end();
+});
+
+tape( 'the function returns an accumulator function (output)', function test( t ) {
+ t.equal( typeof incrnanminmax( [ 0.0, 0.0 ] ), 'function', 'returns a function' );
+ t.end();
+});
+
+tape( 'the accumulator function computes a minimum and maximum incrementally', function test( t ) {
+ var expected;
+ var actual;
+ var data;
+ var acc;
+ var N;
+ var i;
+
+ data = [ 2.0, 3.0, 2.0, 4.0, NaN, 4.0, 2.0, 2.0, NaN, 1.0, 0.0, 4.0, -1.0 ];
+ N = data.length;
+
+ acc = incrnanminmax();
+
+ actual = [];
+ for ( i = 0; i < N; i++ ) {
+ actual.push( ( acc( data[ i ] ) ).slice() );
+ }
+ expected = [
+ [ 2.0, 2.0 ],
+ [ 2.0, 3.0 ],
+ [ 2.0, 3.0 ],
+ [ 2.0, 4.0 ],
+ [ 2.0, 4.0 ],
+ [ 2.0, 4.0 ],
+ [ 2.0, 4.0 ],
+ [ 2.0, 4.0 ],
+ [ 2.0, 4.0 ],
+ [ 1.0, 4.0 ],
+ [ 0.0, 4.0 ],
+ [ 0.0, 4.0 ],
+ [ -1.0, 4.0 ]
+ ];
+
+ t.deepEqual( actual, expected, 'returns expected values' );
+ t.end();
+});
+
+tape( 'the accumulator function computes a minimum and maximum incrementally (output)', function test( t ) {
+ var expected;
+ var actual;
+ var data;
+ var acc;
+ var out;
+ var N;
+ var i;
+
+ data = [ 2.0, 3.0, 2.0, 4.0, NaN, 4.0, 2.0, 2.0, NaN, 1.0, 0.0, 4.0, -1.0 ];
+ N = data.length;
+
+ out = [ 0.0, 0.0 ];
+ acc = incrnanminmax( out );
+
+ actual = [];
+ for ( i = 0; i < N; i++ ) {
+ actual.push( acc( data[ i ] ) );
+ t.equal( actual[ i ], out, 'returns output array' );
+ actual[ i ] = actual[ i ].slice();
+ }
+ expected = [
+ [ 2.0, 2.0 ],
+ [ 2.0, 3.0 ],
+ [ 2.0, 3.0 ],
+ [ 2.0, 4.0 ],
+ [ 2.0, 4.0 ],
+ [ 2.0, 4.0 ],
+ [ 2.0, 4.0 ],
+ [ 2.0, 4.0 ],
+ [ 2.0, 4.0 ],
+ [ 1.0, 4.0 ],
+ [ 0.0, 4.0 ],
+ [ 0.0, 4.0 ],
+ [ -1.0, 4.0 ]
+ ];
+
+ t.deepEqual( actual, expected, 'returns expected values' );
+ t.end();
+});
+
+tape( 'if not provided an input value, the accumulator function returns the current minimum and maximum values', function test( t ) {
+ var data;
+ var acc;
+ var i;
+
+ data = [ 2.0, 3.0, 5.0, 4.0 ];
+ acc = incrnanminmax();
+ for ( i = 0; i < data.length; i++ ) {
+ acc( data[ i ] );
+ }
+ t.deepEqual( acc(), [ 2.0, 5.0 ], 'returns expected value' );
+ t.end();
+});
+
+tape( 'if data has yet to be provided, the accumulator function returns `null`', function test( t ) {
+ var acc = incrnanminmax();
+ t.equal( acc(), null, 'returns null' );
+ t.end();
+});
+
+tape( 'the accumulator function correctly handles signed zeros', function test( t ) {
+ var acc;
+ var v;
+
+ acc = incrnanminmax();
+
+ v = acc( 0.0 );
+ t.equal( isPositiveZero( v[ 0 ] ), true, 'returns expected value' );
+ t.equal( isPositiveZero( v[ 1 ] ), true, 'returns expected value' );
+
+ v = acc( -0.0 );
+ t.equal( isNegativeZero( v[ 0 ] ), true, 'returns expected value' );
+ t.equal( isPositiveZero( v[ 1 ] ), true, 'returns expected value' );
+
+ v = acc( 0.0 );
+ t.equal( isNegativeZero( v[ 0 ] ), true, 'returns expected value' );
+ t.equal( isPositiveZero( v[ 1 ] ), true, 'returns expected value' );
+
+ acc = incrnanminmax();
+
+ v = acc( -0.0 );
+ t.equal( isNegativeZero( v[ 0 ] ), true, 'returns expected value' );
+ t.equal( isNegativeZero( v[ 1 ] ), true, 'returns expected value' );
+
+ v = acc( 0.0 );
+ t.equal( isNegativeZero( v[ 0 ] ), true, 'returns expected value' );
+ t.equal( isPositiveZero( v[ 1 ] ), true, 'returns expected value' );
+
+ v = acc( -0.0 );
+ t.equal( isNegativeZero( v[ 0 ] ), true, 'returns expected value' );
+ t.equal( isPositiveZero( v[ 1 ] ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided `NaN`, the accumulated minimum and maximum values remain unchanged', function test( t ) {
+ var data;
+ var acc;
+ var v;
+ var i;
+
+ data = [ 2.0, NaN, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0 ];
+ acc = incrnanminmax();
+ for ( i = 0; i < data.length; i++ ) {
+ acc( data[ i ] );
+ }
+ v = acc();
+ t.equal( v[ 0 ], 1.0, 'returns expected value' );
+ t.equal( v[ 1 ], 7.0, 'returns expected value' );
+ t.end();
+});