diff --git a/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/README.md b/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/README.md
new file mode 100644
index 000000000000..abe785a09a32
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/README.md
@@ -0,0 +1,160 @@
+
+
+# incrnanminmaxabs
+
+> Compute minimum and maximum absolute values incrementally, ignoring `NaN` values.
+
+
+
+## Usage
+
+```javascript
+var incrnanminmaxabs = require( '@stdlib/stats/incr/nanminmaxabs' );
+```
+
+#### incrnanminmaxabs( \[out] )
+
+Returns an accumulator `function` which incrementally computes minimum and maximum absolute values while ignoring `NaN` values.
+
+```javascript
+var accumulator = incrnanminmaxabs();
+```
+
+By default, the returned accumulator `function` returns the minimum and maximum absolute values as a two-element `array`. To avoid unnecessary memory allocation, the function supports providing an output (destination) object.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var accumulator = incrnanminmaxabs( new Float64Array( 2 ) );
+```
+
+#### accumulator( \[x] )
+
+If provided an input value `x`, the accumulator function returns updated minimum and maximum absolute values, ignoring `NaN`. If not provided an input value `x`, the accumulator function returns the current minimum and maximum absolute values.
+
+```javascript
+var accumulator = incrnanminmaxabs();
+
+var mm = accumulator();
+// returns null
+
+mm = accumulator( 2.0 );
+// returns [ 2.0, 2.0 ]
+
+mm = accumulator( NaN );
+// returns [ 2.0, 2.0 ] (ignores NaN)
+
+mm = accumulator( 1.0 );
+// returns [ 1.0, 2.0 ]
+
+mm = accumulator( 3.0 );
+// returns [ 1.0, 3.0 ]
+
+mm = accumulator( -7.0 );
+// returns [ 1.0, 7.0 ]
+
+mm = accumulator();
+// returns [ 1.0, 7.0 ]
+```
+
+
+
+
+
+
+
+## Notes
+
+- `NaN` values are ignored in calculations. This ensures `NaN` does not contaminate future results.
+- 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 incrnanminmaxabs = require( '@stdlib/stats/incr/nanminmaxabs' );
+
+var accumulator;
+var v;
+var i;
+
+// Initialize an accumulator:
+accumulator = incrnanminmaxabs();
+
+// For each simulated datum, update the minimum and maximum absolute values...
+for ( i = 0; i < 100; i++ ) {
+ v = ( randu()*100.0 ) - 50.0;
+ if ( randu() < 0.1 ) {
+ v = NaN;
+ }
+ accumulator( v );
+}
+console.log( accumulator() );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[@stdlib/stats/incr/maxabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/incr/maxabs
+
+[@stdlib/stats/incr/minabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/incr/minabs
+
+[@stdlib/stats/incr/minmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/incr/minmax
+
+[@stdlib/stats/incr/mminmaxabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/incr/mminmaxabs
+
+
+
+
+
+
diff --git a/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/benchmark/benchmark.js
new file mode 100644
index 000000000000..64b5c35cc3a3
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/benchmark/benchmark.js
@@ -0,0 +1,72 @@
+/**
+ * @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 isnan = require("@stdlib/math/base/assert/is-nan");
+var pkg = require("./../package.json").name;
+var incrnanminmaxabs = require("./../lib");
+
+// MAIN //
+
+bench(pkg, function benchmark(b) {
+ var f;
+ var i;
+ b.tic();
+ for (i = 0; i < b.iterations; i++) {
+ f = incrnanminmaxabs();
+ 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 = incrnanminmaxabs();
+
+ b.tic();
+ for (i = 0; i < b.iterations; i++) {
+ v = randu() > 0.1 ? randu() - 0.5 : NaN; // Introduce some NaNs
+ acc(v);
+ }
+ v = acc();
+ b.toc();
+
+ // Ensure NaN values are ignored unless all inputs were NaN
+ if (isnan(v[0]) && isnan(v[1]) && i > 0) {
+ b.fail("should not return NaN unless all inputs were NaN");
+ }
+
+ b.pass("benchmark finished");
+ b.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/docs/repl.txt b/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/docs/repl.txt
new file mode 100644
index 000000000000..43e7e10cfb94
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/docs/repl.txt
@@ -0,0 +1,39 @@
+{{alias}}( [out] )
+ Returns an accumulator function which incrementally computes a minimum and
+ maximum absolute value.
+
+ 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.
+
+ If provided `NaN`, the accumulator ignores it and does not update the
+ minimum or maximum values.
+
+ 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, 2 ]
+ > mm = accumulator( -5.0 );
+ [ 2, 5 ]
+ > mm = accumulator( 3.0 );
+ [ 2, 5 ]
+ > mm = accumulator( 5.0 );
+ [ 2, 5 ]
+ > mm = accumulator();
+ [ 2, 5 ]
+
+ See Also
+ --------
diff --git a/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/docs/types/index.d.ts
new file mode 100644
index 000000000000..57befb1c757f
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/docs/types/index.d.ts
@@ -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.
+*/
+
+// TypeScript Version: 4.1
+
+///
+
+import { ArrayLike } from '@stdlib/types/array';
+
+/**
+* If provided a value, the accumulator function returns updated absolute minimum and maximum values. If not provided a value, the accumulator function returns the current minimum and maximum values.
+*
+* ## Notes
+*
+* - If provided `NaN`, the minimum and maximum values are equal to `NaN` for all future invocations.
+*
+* @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 absolute values.
+*
+* @param out - output array
+* @returns accumulator function
+*
+* @example
+* var accumulator = incrnanminmaxabs();
+*
+* var mm = accumulator();
+* // returns null
+*
+* mm = accumulator( 2.0 );
+* // returns [ 2.0, 2.0 ]
+*
+* mm = accumulator( -5.0 );
+* // returns [ 2.0, 5.0 ]
+*
+* mm = accumulator( 3.0 );
+* // returns [ 2.0, 5.0 ]
+*
+* mm = accumulator( 5.0 );
+* // returns [ 2.0, 5.0 ]
+*
+* mm = accumulator();
+* // returns [ 2.0, 5.0 ]
+*/
+declare function incrnanminmaxabs( out?: ArrayLike ): accumulator;
+
+
+// EXPORTS //
+
+export = incrnanminmaxabs;
diff --git a/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/docs/types/tests.ts b/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/docs/types/tests.ts
new file mode 100644
index 000000000000..9ca4cb2e7b5b
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/docs/types/tests.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 incrnanminmaxabs from './index';
+
+
+// TESTS //
+
+// The function returns an accumulator function...
+{
+ incrnanminmaxabs(); // $ExpectType accumulator
+ const out = [ 0.0, 0.0 ];
+ incrnanminmaxabs( out ); // $ExpectType accumulator
+}
+
+// The compiler throws an error if the function is provided an argument that is not an array-like object of numbers...
+{
+ incrnanminmaxabs( '5' ); // $ExpectError
+ incrnanminmaxabs( 5 ); // $ExpectError
+ incrnanminmaxabs( true ); // $ExpectError
+ incrnanminmaxabs( false ); // $ExpectError
+ incrnanminmaxabs( null ); // $ExpectError
+ incrnanminmaxabs( {} ); // $ExpectError
+ incrnanminmaxabs( ( x: number ): number => x ); // $ExpectError
+}
+
+// The function returns an accumulator function which returns an accumulated result...
+{
+ const acc = incrnanminmaxabs();
+
+ 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 = incrnanminmaxabs();
+
+ 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/nanminmaxabs/examples/index.js b/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/examples/index.js
new file mode 100644
index 000000000000..aa7ca0c8d6e3
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/examples/index.js
@@ -0,0 +1,47 @@
+/**
+ * @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 incrnanminmaxabs = require("./../lib");
+
+var accumulator;
+var mm;
+var v;
+var i;
+
+// Initialize an accumulator:
+accumulator = incrnanminmaxabs();
+
+// For each simulated datum, update the minimum and maximum absolute values...
+console.log("\nValue\tMin\tMax\n");
+for (i = 0; i < 100; i++) {
+ v = randu() * 100.0 - 50.0;
+ // Introduce NaN values randomly
+ if (randu() < 0.1) {
+ v = NaN;
+ }
+ mm = accumulator(v);
+ console.log(
+ "%d\t%d\t%d",
+ isNaN(v) ? "NaN" : v.toFixed(3),
+ mm[0].toFixed(3),
+ mm[1].toFixed(3)
+ );
+}
diff --git a/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/lib/index.js b/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/lib/index.js
new file mode 100644
index 000000000000..5292130fa4ef
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/lib/index.js
@@ -0,0 +1,64 @@
+/**
+ * @module @stdlib/stats/incr/nanminmaxabs
+ * @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 minimum and maximum absolute values incrementally, ignoring NaN values.
+/**
+ * Compute minimum and maximum absolute values incrementally, **ignoring NaN values**.
+ *
+ * @module @stdlib/stats/incr/nanminmaxabs
+ *
+ * @example
+ * var incrnanminmaxabs = require( '@stdlib/stats/incr/nanminmaxabs' );
+ *
+ * var accumulator = incrnanminmaxabs();
+ *
+ * var mm = accumulator();
+ * // returns null
+ *
+ * mm = accumulator( 2.0 );
+ * // returns [ 2.0, 2.0 ]
+ *
+ * mm = accumulator( NaN );
+ * // returns [ 2.0, 2.0 ] (ignores NaN)
+ *
+ * mm = accumulator( -5.0 );
+ * // returns [ 2.0, 5.0 ]
+ *
+ * mm = accumulator( 3.0 );
+ * // returns [ 2.0, 5.0 ]
+ *
+ * mm = accumulator( NaN );
+ * // returns [ 2.0, 5.0 ] (still ignores NaN)
+ *
+ * mm = accumulator();
+ * // returns [ 2.0, 5.0 ]
+ */
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
+
diff --git a/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/lib/main.js b/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/lib/main.js
new file mode 100644
index 000000000000..4dedba3be767
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/lib/main.js
@@ -0,0 +1,74 @@
+/**
+ * @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 incrminmaxabs = require("@stdlib/stats/incr/minmaxabs");
+var isnan = require("@stdlib/math/base/assert/is-nan");
+var isArrayLike = require("@stdlib/assert/is-array-like");
+
+/**
+ * Returns an accumulator function which incrementally computes minimum and maximum absolute values, ignoring NaNs.
+ *
+ * @module @stdlib/stats/incr/nanminmaxabs
+ * @param {Collection} [out] - output array
+ * @returns {Function} accumulator function
+ * @throws {TypeError} if out is not an array-like object
+ *
+ * @example
+ * var accumulator = incrnanminmaxabs();
+ *
+ * var mm = accumulator();
+ * // returns null
+ *
+ * mm = accumulator( NaN );
+ * // returns null
+ *
+ * mm = accumulator( 2.0 );
+ * // returns [ 2.0, 2.0 ]
+ *
+ * mm = accumulator( NaN );
+ * // returns [ 2.0, 2.0 ]
+ *
+ * mm = accumulator( -5.0 );
+ * // returns [ 2.0, 5.0 ]
+ */
+function incrnanminmaxabs(out) {
+ if (arguments.length > 0 && !isArrayLike(out)) {
+ throw new TypeError(
+ "invalid argument. Output argument must be an array-like object."
+ );
+ }
+ var accumulator = incrminmaxabs(out || []);
+ var hasValues = false;
+
+ return function (x) {
+ if (arguments.length === 0) {
+ return hasValues ? accumulator() : null;
+ }
+ if (isnan(x)) {
+ return hasValues ? accumulator() : null;
+ }
+ hasValues = true;
+ return accumulator(x);
+ };
+}
+
+// EXPORTS //
+module.exports = incrnanminmaxabs;
diff --git a/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/package.json b/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/package.json
new file mode 100644
index 000000000000..e255d07b0ac9
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/package.json
@@ -0,0 +1,74 @@
+{
+ "name": "@stdlib/stats/incr/nanminmaxabs",
+ "version": "0.0.0",
+ "description": "Compute minimum and maximum absolute values incrementally, ignoring NaNs.",
+ "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",
+ "absolute",
+ "value",
+ "abs",
+ "math.abs",
+ "range",
+ "extent",
+ "extrema",
+ "incremental",
+ "accumulator",
+ "nan",
+ "ignore-nans"
+ ]
+ }
diff --git a/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/test/test.js b/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/test/test.js
new file mode 100644
index 000000000000..40c5f86e28d9
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/incr/nanminmaxabs/test/test.js
@@ -0,0 +1,259 @@
+/**
+ * @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 isPositiveZero = require("@stdlib/math/base/assert/is-positive-zero");
+var isnan = require("@stdlib/math/base/assert/is-nan");
+var incrnanminmaxabs = require("./../lib");
+
+// TESTS //
+
+tape("main export is a function", function test(t) {
+ t.ok(true, __filename);
+ t.strictEqual(
+ typeof incrnanminmaxabs,
+ "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() {
+ incrnanminmaxabs(value);
+ };
+ }
+ }
+);
+
+tape("the function returns an accumulator function", function test(t) {
+ t.equal(typeof incrnanminmaxabs(), "function", "returns a function");
+ t.end();
+});
+
+tape("the function returns an accumulator function (output)", function test(t) {
+ t.equal(
+ typeof incrnanminmaxabs([0.0, 0.0]),
+ "function",
+ "returns a function"
+ );
+ t.end();
+});
+
+tape(
+ "the accumulator function computes a minimum and maximum absolute value 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, -3.0, -4.0, -2.0, 2.0, -2.0, 1.0, -0.0, 4.0, -1.0,
+ ];
+ N = data.length;
+
+ acc = incrnanminmaxabs();
+
+ 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],
+ [0.0, 4.0],
+ ];
+
+ t.deepEqual(actual, expected, "returns expected values");
+ t.end();
+ }
+);
+
+tape(
+ "the accumulator function computes a minimum and maximum absolute value 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, -3.0, -4.0, -2.0, 2.0, -2.0, 1.0, -0.0, 4.0, -1.0,
+ ];
+ N = data.length;
+
+ out = [0.0, 0.0];
+ acc = incrnanminmaxabs(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],
+ [0.0, 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 absolute values",
+ function test(t) {
+ var data;
+ var acc;
+ var i;
+
+ data = [2.0, -3.0, -5.0, 4.0];
+ acc = incrnanminmaxabs();
+ 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 = incrnanminmaxabs();
+ t.equal(acc(), null, "returns null");
+ t.end();
+ }
+);
+
+tape(
+ "the accumulator function correctly handles signed zeros",
+ function test(t) {
+ var acc;
+ var v;
+
+ acc = incrnanminmaxabs();
+
+ 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(isPositiveZero(v[0]), true, "returns expected value");
+ t.equal(isPositiveZero(v[1]), true, "returns expected value");
+
+ v = acc(0.0);
+ t.equal(isPositiveZero(v[0]), true, "returns expected value");
+ t.equal(isPositiveZero(v[1]), true, "returns expected value");
+
+ acc = incrnanminmaxabs();
+
+ 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(isPositiveZero(v[0]), true, "returns expected value");
+ t.equal(isPositiveZero(v[1]), true, "returns expected value");
+
+ v = acc(-0.0);
+ t.equal(isPositiveZero(v[0]), true, "returns expected value");
+ t.equal(isPositiveZero(v[1]), true, "returns expected value");
+
+ t.end();
+ }
+);
+
+tape(
+ "if provided `NaN`, the accumulator ignores it and continues computing min/max absolute values",
+ 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 = incrnanminmaxabs(); // Ensure this calls your new implementation
+ for (i = 0; i < data.length; i++) {
+ acc(data[i]);
+ }
+ v = acc();
+ t.equal(v[0], 1.0, "returns expected minimum absolute value");
+ t.equal(v[1], 7.0, "returns expected maximum absolute value");
+ t.end();
+ }
+);