From 295322b26ca7e1e7c974cfb3eb9a1e51a488bb87 Mon Sep 17 00:00:00 2001
From: headlessNode <harriskhan047@outlook.com>
Date: Sun, 23 Aug 2026 21:55:48 +0500
Subject: [PATCH] feat: add blas/ext/base/ndarray/ssome

---
 .../blas/ext/base/ndarray/ssome/README.md     | 122 ++++++++++++
 .../base/ndarray/ssome/benchmark/benchmark.js | 107 ++++++++++
 .../blas/ext/base/ndarray/ssome/docs/repl.txt |  33 ++++
 .../base/ndarray/ssome/docs/types/index.d.ts  |  58 ++++++
 .../ext/base/ndarray/ssome/docs/types/test.ts |  64 ++++++
 .../ext/base/ndarray/ssome/examples/index.js  |  36 ++++
 .../blas/ext/base/ndarray/ssome/lib/index.js  |  48 +++++
 .../blas/ext/base/ndarray/ssome/lib/main.js   |  70 +++++++
 .../blas/ext/base/ndarray/ssome/package.json  |  69 +++++++
 .../blas/ext/base/ndarray/ssome/test/test.js  | 186 ++++++++++++++++++
 10 files changed, 793 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/README.md
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/package.json
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/test/test.js

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/README.md
new file mode 100644
index 000000000000..2c62d2549713
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/README.md
@@ -0,0 +1,122 @@
+<!--
+
+@license Apache-2.0
+
+Copyright (c) 2026 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.
+
+-->
+
+# ssome
+
+> Test whether a one-dimensional single-precision floating-point ndarray contains at least `k` truthy elements.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var ssome = require( '@stdlib/blas/ext/base/ndarray/ssome' );
+```
+
+#### ssome( arrays )
+
+Tests whether a one-dimensional single-precision floating-point ndarray contains at least `k` truthy elements.
+
+```javascript
+var Float32Vector = require( '@stdlib/ndarray/vector/float32' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+
+var x = new Float32Vector( [ 0.0, 0.0, 1.0, 2.0 ] );
+
+var k = scalar2ndarray( 2, {
+    'dtype': 'generic'
+});
+
+var v = ssome( [ x, k ] );
+// returns true
+```
+
+The function has the following parameters:
+
+-   **arrays**: array-like object containing the following ndarrays:
+
+    -   a one-dimensional input ndarray.
+    -   a zero-dimensional ndarray specifying the minimum number of truthy elements.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   If provided an empty one-dimensional ndarray, the function returns `false`.
+-   The function explicitly treats `NaN` values as falsy.
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var bernoulli = require( '@stdlib/random/bernoulli' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var ssome = require( '@stdlib/blas/ext/base/ndarray/ssome' );
+
+var x = bernoulli( [ 10 ], 0.3, {
+    'dtype': 'float32'
+});
+console.log( ndarray2array( x ) );
+
+var k = scalar2ndarray( 3, {
+    'dtype': 'generic'
+});
+
+var v = ssome( [ x, k ] );
+console.log( v );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
+
+<section class="related">
+
+</section>
+
+<!-- /.related -->
+
+<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="links">
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/benchmark/benchmark.js
new file mode 100644
index 000000000000..ef6db6c9acab
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/benchmark/benchmark.js
@@ -0,0 +1,107 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 zeros = require( '@stdlib/ndarray/zeros' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var ssome = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+	'dtype': 'float32'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var x = zeros( [ len ], options );
+	var k = scalar2ndarray( floor( len / 2 ), {
+		'dtype': 'generic'
+	});
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var out;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			out = ssome( [ x, k ] );
+			if ( typeof out !== 'boolean' ) {
+				b.fail( 'should return a boolean' );
+			}
+		}
+		b.toc();
+		if ( typeof out !== 'boolean' ) {
+			b.fail( 'should return a boolean' );
+		}
+		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( format( '%s:len=%d', pkg, len ), f );
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/docs/repl.txt
new file mode 100644
index 000000000000..b371fda00250
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/docs/repl.txt
@@ -0,0 +1,33 @@
+
+{{alias}}( arrays )
+    Tests whether a one-dimensional single-precision floating-point ndarray
+    contains at least `k` truthy elements.
+
+    If provided an empty ndarray, the function returns `false`.
+
+    The function explicitly treats `NaN` values as falsy.
+
+    Parameters
+    ----------
+    arrays: ArrayLikeObject<ndarray>
+        Array-like object containing the following ndarrays:
+
+        - a one-dimensional input ndarray.
+        - a zero-dimensional ndarray specifying the minimum number of truthy
+        elements.
+
+    Returns
+    -------
+    bool: boolean
+        Boolean indicating whether the input ndarray contains at least `k`
+        truthy elements.
+
+    Examples
+    --------
+    > var x = new {{alias:@stdlib/ndarray/vector/float32}}( [ 0.0, 0.0, 1.0, 2.0 ] );
+    > var k = {{alias:@stdlib/ndarray/from-scalar}}( 2, { 'dtype': 'generic' } );
+    > {{alias}}( [ x, k ] )
+    true
+
+    See Also
+    --------
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/docs/types/index.d.ts
new file mode 100644
index 000000000000..b83ec65af749
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/docs/types/index.d.ts
@@ -0,0 +1,58 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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
+
+/// <reference types="@stdlib/types"/>
+
+import { float32ndarray, typedndarray } from '@stdlib/types/ndarray';
+
+/**
+* Tests whether a one-dimensional single-precision floating-point ndarray contains at least `k` truthy elements.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a zero-dimensional ndarray specifying the minimum number of truthy elements.
+*
+* -   The function explicitly treats `NaN` values as falsy.
+*
+* @param arrays - array-like object containing ndarrays
+* @returns boolean indicating whether the input ndarray contains at least `k` truthy elements
+*
+* @example
+* var Float32Vector = require( '@stdlib/ndarray/vector/float32' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+*
+* var x = new Float32Vector( [ 0.0, 0.0, 1.0, 2.0 ] );
+*
+* var k = scalar2ndarray( 2, {
+*     'dtype': 'generic'
+* });
+*
+* var v = ssome( [ x, k ] );
+* // returns true
+*/
+declare function ssome( arrays: [ float32ndarray, typedndarray<number> ] ): boolean;
+
+
+// EXPORTS //
+
+export = ssome;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/docs/types/test.ts
new file mode 100644
index 000000000000..843784f24180
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/docs/types/test.ts
@@ -0,0 +1,64 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable space-in-parens */
+
+import zeros = require( '@stdlib/ndarray/zeros' );
+import scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+import ssome = require( './index' );
+
+
+// TESTS //
+
+// The function returns a boolean...
+{
+	const x = zeros( [ 10 ], {
+		'dtype': 'float32'
+	});
+	const k = scalar2ndarray( 2, {
+		'dtype': 'generic'
+	});
+
+	ssome( [ x, k ] ); // $ExpectType boolean
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+	ssome( '10' ); // $ExpectError
+	ssome( 10 ); // $ExpectError
+	ssome( true ); // $ExpectError
+	ssome( false ); // $ExpectError
+	ssome( null ); // $ExpectError
+	ssome( undefined ); // $ExpectError
+	ssome( [] ); // $ExpectError
+	ssome( {} ); // $ExpectError
+	ssome( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+	const x = zeros( [ 10 ], {
+		'dtype': 'float32'
+	});
+	const k = scalar2ndarray( 2, {
+		'dtype': 'generic'
+	});
+
+	ssome(); // $ExpectError
+	ssome( [ x, k ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/examples/index.js
new file mode 100644
index 000000000000..d20ce660594d
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/examples/index.js
@@ -0,0 +1,36 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 bernoulli = require( '@stdlib/random/bernoulli' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var ssome = require( './../lib' );
+
+var x = bernoulli( [ 10 ], 0.3, {
+	'dtype': 'float32'
+});
+console.log( ndarray2array( x ) );
+
+var k = scalar2ndarray( 3, {
+	'dtype': 'generic'
+});
+
+var v = ssome( [ x, k ] );
+console.log( v );
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/lib/index.js
new file mode 100644
index 000000000000..4552dec479a7
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/lib/index.js
@@ -0,0 +1,48 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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';
+
+/**
+* Test whether a one-dimensional single-precision floating-point ndarray contains at least `k` truthy elements.
+*
+* @module @stdlib/blas/ext/base/ndarray/ssome
+*
+* @example
+* var Float32Vector = require( '@stdlib/ndarray/vector/float32' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var ssome = require( '@stdlib/blas/ext/base/ndarray/ssome' );
+*
+* var x = new Float32Vector( [ 0.0, 0.0, 1.0, 2.0 ] );
+*
+* var k = scalar2ndarray( 2, {
+*     'dtype': 'generic'
+* });
+*
+* var v = ssome( [ x, k ] );
+* // returns true
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/lib/main.js
new file mode 100644
index 000000000000..2fb6f95f7bdc
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/lib/main.js
@@ -0,0 +1,70 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
+var numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
+var getStride = require( '@stdlib/ndarray/base/stride' );
+var getOffset = require( '@stdlib/ndarray/base/offset' );
+var getData = require( '@stdlib/ndarray/base/data-buffer' );
+var strided = require( '@stdlib/blas/ext/base/ssome' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Tests whether a one-dimensional single-precision floating-point ndarray contains at least `k` truthy elements.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a zero-dimensional ndarray specifying the minimum number of truthy elements.
+*
+* -   The function explicitly treats `NaN` values as falsy.
+*
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
+* @returns {boolean} boolean indicating whether the input ndarray contains at least `k` truthy elements
+*
+* @example
+* var Float32Vector = require( '@stdlib/ndarray/vector/float32' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+*
+* var x = new Float32Vector( [ 0.0, 0.0, 1.0, 2.0 ] );
+*
+* var k = scalar2ndarray( 2, {
+*     'dtype': 'generic'
+* });
+*
+* var v = ssome( [ x, k ] );
+* // returns true
+*/
+function ssome( arrays ) {
+	var x = arrays[ 0 ];
+	var k = ndarraylike2scalar( arrays[ 1 ] );
+	return strided( numelDimension( x, 0 ), k, getData( x ), getStride( x, 0 ), getOffset( x ) ); // eslint-disable-line max-len
+}
+
+
+// EXPORTS //
+
+module.exports = ssome;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/package.json b/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/package.json
new file mode 100644
index 000000000000..59578cfdee96
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/package.json
@@ -0,0 +1,69 @@
+{
+  "name": "@stdlib/blas/ext/base/ndarray/ssome",
+  "version": "0.0.0",
+  "description": "Test whether a one-dimensional single-precision floating-point ndarray contains at least `k` truthy elements.",
+  "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",
+    "mathematics",
+    "math",
+    "blas",
+    "extended",
+    "some",
+    "ssome",
+    "truthy",
+    "test",
+    "boolean",
+    "ndarray",
+    "float32",
+    "single-precision",
+    "float32array"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/test/test.js
new file mode 100644
index 000000000000..d00c85cdfc93
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/ssome/test/test.js
@@ -0,0 +1,186 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 Float32Array = require( '@stdlib/array/float32' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var ssome = require( './../lib' );
+
+
+// FUNCTIONS //
+
+/**
+* Returns a one-dimensional ndarray.
+*
+* @private
+* @param {Float32Array} buffer - underlying data buffer
+* @param {NonNegativeInteger} length - number of indexed elements
+* @param {integer} stride - stride length
+* @param {NonNegativeInteger} offset - index offset
+* @returns {ndarray} one-dimensional ndarray
+*/
+function vector( buffer, length, stride, offset ) {
+	return new ndarray( 'float32', buffer, [ length ], [ stride ], offset, 'row-major' );
+}
+
+/**
+* Returns a zero-dimensional ndarray.
+*
+* @private
+* @param {integer} k - minimum number of truthy elements
+* @returns {ndarray} zero-dimensional ndarray
+*/
+function scalar( k ) {
+	return scalar2ndarray( k, {
+		'dtype': 'generic'
+	});
+}
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof ssome, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 1', function test( t ) {
+	t.strictEqual( ssome.length, 1, 'has expected arity' );
+	t.end();
+});
+
+tape( 'the function tests whether a one-dimensional ndarray contains at least `k` truthy elements', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float32Array( [ 0.0, 0.0, 1.0, 2.0 ] );
+	v = ssome( [ vector( x, 4, 1, 0 ), scalar( 2 ) ] );
+	t.strictEqual( v, true, 'returns expected value' );
+
+	x = new Float32Array( [ 0.0, 0.0, 0.0, 0.0 ] );
+	v = ssome( [ vector( x, 4, 1, 0 ), scalar( 1 ) ] );
+	t.strictEqual( v, false, 'returns expected value' );
+
+	x = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	v = ssome( [ vector( x, 4, 1, 0 ), scalar( 5 ) ] );
+	t.strictEqual( v, false, 'returns expected value' );
+
+	x = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	v = ssome( [ vector( x, 4, 1, 0 ), scalar( 4 ) ] );
+	t.strictEqual( v, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function treats `NaN` values as falsy', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float32Array( [ NaN, NaN, NaN ] );
+	v = ssome( [ vector( x, 3, 1, 0 ), scalar( 1 ) ] );
+	t.strictEqual( v, false, 'returns expected value' );
+
+	x = new Float32Array( [ NaN, 1.0, 2.0 ] );
+	v = ssome( [ vector( x, 3, 1, 0 ), scalar( 2 ) ] );
+	t.strictEqual( v, true, 'returns expected value' );
+
+	x = new Float32Array( [ NaN, 1.0, 0.0 ] );
+	v = ssome( [ vector( x, 3, 1, 0 ), scalar( 2 ) ] );
+	t.strictEqual( v, false, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided an empty ndarray, the function returns `false`', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float32Array( [] );
+
+	v = ssome( [ vector( x, 0, 1, 0 ), scalar( 1 ) ] );
+	t.strictEqual( v, false, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports one-dimensional ndarrays having non-unit strides', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float32Array([
+		1.0, // 0
+		0.0,
+		0.0, // 1
+		0.0,
+		1.0, // 2
+		0.0,
+		0.0, // 3
+		0.0
+	]);
+
+	v = ssome( [ vector( x, 4, 2, 0 ), scalar( 2 ) ] );
+
+	t.strictEqual( v, true, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports one-dimensional ndarrays having negative strides', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float32Array([
+		1.0,
+		2.0, // 2
+		3.0,
+		4.0, // 1
+		5.0,
+		6.0  // 0
+	]);
+
+	v = ssome( [ vector( x, 3, -2, 5 ), scalar( 2 ) ] );
+
+	t.strictEqual( v, true, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports one-dimensional ndarrays having non-zero offsets', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float32Array([
+		0.0,
+		1.0, // 0
+		2.0, // 1
+		3.0,
+		4.0
+	]);
+
+	v = ssome( [ vector( x, 2, 1, 1 ), scalar( 2 ) ] );
+	t.strictEqual( v, true, 'returns expected value' );
+
+	v = ssome( [ vector( x, 2, 1, 1 ), scalar( 3 ) ] );
+	t.strictEqual( v, false, 'returns expected value' );
+
+	t.end();
+});