From f6362fcc8605d7217068212c7b9f2066a55da614 Mon Sep 17 00:00:00 2001
From: Muhammad Haris <101793258+headlessNode@users.noreply.github.com>
Date: Tue, 15 Jul 2025 05:28:46 +0000
Subject: [PATCH 1/7] feat: add ndarray/base/any-by
---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
- task: lint_filenames
status: passed
- task: lint_editorconfig
status: passed
- task: lint_markdown
status: passed
- task: lint_package_json
status: passed
- task: lint_repl_help
status: passed
- task: lint_javascript_src
status: passed
- task: lint_javascript_cli
status: na
- task: lint_javascript_examples
status: passed
- task: lint_javascript_tests
status: passed
- task: lint_javascript_benchmarks
status: passed
- task: lint_python
status: na
- task: lint_r
status: na
- task: lint_c_src
status: na
- task: lint_c_examples
status: na
- task: lint_c_benchmarks
status: na
- task: lint_c_tests_fixtures
status: na
- task: lint_shell
status: na
- task: lint_typescript_declarations
status: passed
- task: lint_typescript_tests
status: passed
- task: lint_license_headers
status: passed
---
---
.../@stdlib/ndarray/base/any-by/README.md | 208 +++
.../benchmark/benchmark.1d_columnmajor.js | 132 ++
.../any-by/benchmark/benchmark.1d_rowmajor.js | 132 ++
.../benchmark.2d_blocked_columnmajor.js | 144 ++
.../benchmark.2d_blocked_rowmajor.js | 144 ++
.../benchmark/benchmark.2d_columnmajor.js | 144 ++
.../any-by/benchmark/benchmark.2d_rowmajor.js | 144 ++
.../benchmark.2d_rowmajor_accessors.js | 170 ++
.../benchmark.3d_blocked_columnmajor.js | 144 ++
.../benchmark.3d_blocked_rowmajor.js | 144 ++
.../benchmark/benchmark.3d_columnmajor.js | 144 ++
.../any-by/benchmark/benchmark.3d_rowmajor.js | 144 ++
.../@stdlib/ndarray/base/any-by/docs/repl.txt | 73 +
.../ndarray/base/any-by/docs/types/index.d.ts | 109 ++
.../ndarray/base/any-by/docs/types/test.ts | 99 ++
.../ndarray/base/any-by/examples/index.js | 42 +
.../@stdlib/ndarray/base/any-by/lib/0d.js | 83 +
.../ndarray/base/any-by/lib/0d_accessors.js | 86 +
.../@stdlib/ndarray/base/any-by/lib/1d.js | 105 ++
.../ndarray/base/any-by/lib/1d_accessors.js | 112 ++
.../@stdlib/ndarray/base/any-by/lib/2d.js | 136 ++
.../ndarray/base/any-by/lib/2d_accessors.js | 143 ++
.../ndarray/base/any-by/lib/2d_blocked.js | 162 ++
.../base/any-by/lib/2d_blocked_accessors.js | 169 ++
.../@stdlib/ndarray/base/any-by/lib/3d.js | 146 ++
.../ndarray/base/any-by/lib/3d_accessors.js | 153 ++
.../ndarray/base/any-by/lib/3d_blocked.js | 183 ++
.../base/any-by/lib/3d_blocked_accessors.js | 190 +++
.../@stdlib/ndarray/base/any-by/lib/index.js | 69 +
.../@stdlib/ndarray/base/any-by/lib/main.js | 167 ++
.../@stdlib/ndarray/base/any-by/lib/nd.js | 127 ++
.../ndarray/base/any-by/lib/nd_accessors.js | 134 ++
.../@stdlib/ndarray/base/any-by/package.json | 66 +
.../ndarray/base/any-by/test/test.0d.js | 87 +
.../ndarray/base/any-by/test/test.1d.js | 202 +++
.../ndarray/base/any-by/test/test.2d.js | 1285 ++++++++++++++
.../ndarray/base/any-by/test/test.3d.js | 1479 +++++++++++++++++
.../@stdlib/ndarray/base/any-by/test/test.js | 51 +
.../ndarray/base/any-by/test/test.nd.js | 1040 ++++++++++++
39 files changed, 8492 insertions(+)
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/README.md
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.1d_columnmajor.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.1d_rowmajor.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.2d_blocked_columnmajor.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.2d_blocked_rowmajor.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.2d_columnmajor.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.2d_rowmajor.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.2d_rowmajor_accessors.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.3d_blocked_columnmajor.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.3d_blocked_rowmajor.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.3d_columnmajor.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.3d_rowmajor.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/docs/repl.txt
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/docs/types/index.d.ts
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/docs/types/test.ts
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/examples/index.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/lib/0d.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/lib/0d_accessors.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/lib/1d.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/lib/1d_accessors.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/lib/2d.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/lib/2d_accessors.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/lib/2d_blocked.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/lib/2d_blocked_accessors.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/lib/3d.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/lib/3d_accessors.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/lib/3d_blocked.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/lib/3d_blocked_accessors.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/lib/index.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/lib/main.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/lib/nd.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/lib/nd_accessors.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/package.json
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/test/test.0d.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/test/test.1d.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/test/test.2d.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/test/test.3d.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/test/test.js
create mode 100644 lib/node_modules/@stdlib/ndarray/base/any-by/test/test.nd.js
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/README.md b/lib/node_modules/@stdlib/ndarray/base/any-by/README.md
new file mode 100644
index 000000000000..ee3ac0da1aea
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/README.md
@@ -0,0 +1,208 @@
+
+
+# anyBy
+
+> Test whether at least one element in an ndarray pass a test implemented by a predicate function.
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var anyBy = require( '@stdlib/ndarray/base/any-by' );
+```
+
+#### anyBy( arrays, predicate\[, thisArg] )
+
+Tests whether at least one element in an ndarray pass a test implemented by a predicate function.
+
+
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+function clbk( value ) {
+ return value > 0.0;
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+
+// Define the shape of the input array:
+var shape = [ 3, 1, 2 ];
+
+// Define the array strides:
+var sx = [ 4, 4, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create the input ndarray-like object:
+var x = {
+ 'dtype': 'float64',
+ 'data': xbuf,
+ 'shape': shape,
+ 'strides': sx,
+ 'offset': ox,
+ 'order': 'row-major'
+};
+
+// Test elements:
+var out = anyBy( [ x ], clbk );
+// returns true
+```
+
+The function accepts the following arguments:
+
+- **arrays**: array-like object containing an input ndarray.
+- **predicate**: predicate function.
+- **thisArg**: predicate function execution context (_optional_).
+
+The provided ndarray should be an `object` with the following properties:
+
+- **dtype**: data type.
+- **data**: data buffer.
+- **shape**: dimensions.
+- **strides**: stride lengths.
+- **offset**: index offset.
+- **order**: specifies whether an ndarray is row-major (C-style) or column major (Fortran-style).
+
+The predicate function is provided the following arguments:
+
+- **value**: current array element.
+- **indices**: current array element indices.
+- **arr**: the input ndarray.
+
+To set the predicate function execution context, provide a `thisArg`.
+
+
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+function clbk( value ) {
+ this.count += 1;
+ return value < 0.0;
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+
+// Define the shape of the input array:
+var shape = [ 3, 1, 2 ];
+
+// Define the array strides:
+var sx = [ 4, 4, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create the input ndarray-like object:
+var x = {
+ 'dtype': 'float64',
+ 'data': xbuf,
+ 'shape': shape,
+ 'strides': sx,
+ 'offset': ox,
+ 'order': 'row-major'
+};
+
+var ctx = {
+ 'count': 0
+};
+
+// Test elements:
+var out = anyBy( [ x ], clbk, ctx );
+// returns false
+
+var count = ctx.count;
+// returns 6
+```
+
+
+
+
+
+
+
+## Notes
+
+- For very high-dimensional ndarrays which are non-contiguous, one should consider copying the underlying data to contiguous memory before performing the operation in order to achieve better performance.
+- If provided an empty ndarray, the function returns `false`.
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var anyBy = require( '@stdlib/ndarray/base/any-by' );
+
+function clbk( value ) {
+ return value > 0;
+}
+
+var x = {
+ 'dtype': 'generic',
+ 'data': discreteUniform( 10, -5, 10, {
+ 'dtype': 'generic'
+ }),
+ 'shape': [ 5, 2 ],
+ 'strides': [ 2, 1 ],
+ 'offset': 0,
+ 'order': 'row-major'
+};
+console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
+
+var out = anyBy( [ x ], clbk );
+console.log( out );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.1d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.1d_columnmajor.js
new file mode 100644
index 000000000000..e906de1eded6
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.1d_columnmajor.js
@@ -0,0 +1,132 @@
+/**
+* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
+var pow = require( '@stdlib/math/base/special/pow' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var anyBy = require( './../lib' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Callback function.
+*
+* @param {*} value - ndarray element
+* @returns {boolean} result
+*/
+function clbk( value ) {
+ return value < 0.0;
+}
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype ) {
+ var x;
+
+ x = discreteUniform( len, 1, 100 );
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ 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 = anyBy( [ x ], clbk );
+ if ( typeof out !== 'boolean' ) {
+ b.fail( 'should return a boolean' );
+ }
+ }
+ b.toc();
+ if ( !isBoolean( out ) ) {
+ 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 sh;
+ var t1;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len ];
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.1d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.1d_rowmajor.js
new file mode 100644
index 000000000000..0f7b498e503a
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.1d_rowmajor.js
@@ -0,0 +1,132 @@
+/**
+* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
+var pow = require( '@stdlib/math/base/special/pow' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var anyBy = require( './../lib' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Callback function.
+*
+* @param {*} value - ndarray element
+* @returns {boolean} result
+*/
+function clbk( value ) {
+ return value < 0.0;
+}
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype ) {
+ var x;
+
+ x = discreteUniform( len, 1, 100 );
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ 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 = anyBy( [ x ], clbk );
+ if ( typeof out !== 'boolean' ) {
+ b.fail( 'should return a boolean' );
+ }
+ }
+ b.toc();
+ if ( !isBoolean( out ) ) {
+ 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 sh;
+ var t1;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len ];
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.2d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.2d_blocked_columnmajor.js
new file mode 100644
index 000000000000..b732297243d4
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.2d_blocked_columnmajor.js
@@ -0,0 +1,144 @@
+/**
+* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
+var pow = require( '@stdlib/math/base/special/pow' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var anyBy = require( './../lib/2d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Callback function.
+*
+* @param {*} value - ndarray element
+* @returns {boolean} result
+*/
+function clbk( value ) {
+ return value < 0.0;
+}
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype ) {
+ var x;
+
+ x = discreteUniform( len, 1, 100 );
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ 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 = anyBy( x, clbk );
+ if ( typeof out !== 'boolean' ) {
+ b.fail( 'should return a boolean' );
+ }
+ }
+ b.toc();
+ if ( !isBoolean( out ) ) {
+ 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 sh;
+ var t1;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2 ];
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+
+ sh = [ 2, len/2 ];
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+
+ len = floor( sqrt( len ) );
+ sh = [ len, len ];
+ len *= len;
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.2d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.2d_blocked_rowmajor.js
new file mode 100644
index 000000000000..6fe3443a0aca
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.2d_blocked_rowmajor.js
@@ -0,0 +1,144 @@
+/**
+* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
+var pow = require( '@stdlib/math/base/special/pow' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var anyBy = require( './../lib/2d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Callback function.
+*
+* @param {*} value - ndarray element
+* @returns {boolean} result
+*/
+function clbk( value ) {
+ return value < 0.0;
+}
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype ) {
+ var x;
+
+ x = discreteUniform( len, 1, 100 );
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ 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 = anyBy( x, clbk );
+ if ( typeof out !== 'boolean' ) {
+ b.fail( 'should return a boolean' );
+ }
+ }
+ b.toc();
+ if ( !isBoolean( out ) ) {
+ 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 sh;
+ var t1;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2 ];
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+
+ sh = [ 2, len/2 ];
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+
+ len = floor( sqrt( len ) );
+ sh = [ len, len ];
+ len *= len;
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.2d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.2d_columnmajor.js
new file mode 100644
index 000000000000..f6bd61f79b17
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.2d_columnmajor.js
@@ -0,0 +1,144 @@
+/**
+* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
+var pow = require( '@stdlib/math/base/special/pow' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var anyBy = require( './../lib/2d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Callback function.
+*
+* @param {*} value - ndarray element
+* @returns {boolean} result
+*/
+function clbk( value ) {
+ return value < 0.0;
+}
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype ) {
+ var x;
+
+ x = discreteUniform( len, 1, 100 );
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ 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 = anyBy( x, clbk );
+ if ( typeof out !== 'boolean' ) {
+ b.fail( 'should return a boolean' );
+ }
+ }
+ b.toc();
+ if ( !isBoolean( out ) ) {
+ 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 sh;
+ var t1;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2 ];
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+
+ sh = [ 2, len/2 ];
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+
+ len = floor( sqrt( len ) );
+ sh = [ len, len ];
+ len *= len;
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.2d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.2d_rowmajor.js
new file mode 100644
index 000000000000..ebaf2dcc8fcb
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.2d_rowmajor.js
@@ -0,0 +1,144 @@
+/**
+* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
+var pow = require( '@stdlib/math/base/special/pow' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var anyBy = require( './../lib/2d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Callback function.
+*
+* @param {*} value - ndarray element
+* @returns {boolean} result
+*/
+function clbk( value ) {
+ return value < 0.0;
+}
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype ) {
+ var x;
+
+ x = discreteUniform( len, 1, 100 );
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ 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 = anyBy( x, clbk );
+ if ( typeof out !== 'boolean' ) {
+ b.fail( 'should return a boolean' );
+ }
+ }
+ b.toc();
+ if ( !isBoolean( out ) ) {
+ 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 sh;
+ var t1;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2 ];
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+
+ sh = [ 2, len/2 ];
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+
+ len = floor( sqrt( len ) );
+ sh = [ len, len ];
+ len *= len;
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.2d_rowmajor_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.2d_rowmajor_accessors.js
new file mode 100644
index 000000000000..3e048782170f
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.2d_rowmajor_accessors.js
@@ -0,0 +1,170 @@
+/**
+* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
+var pow = require( '@stdlib/math/base/special/pow' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var anyBy = require( './../lib/2d_accessors.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Callback function.
+*
+* @param {*} value - ndarray element
+* @returns {boolean} result
+*/
+function clbk( value ) {
+ return value < 0.0;
+}
+
+/**
+* Returns an array data buffer element.
+*
+* @private
+* @param {Collection} buf - data buffer
+* @param {NonNegativeInteger} idx - element index
+* @returns {*} element
+*/
+function get( buf, idx ) {
+ return buf[ idx ];
+}
+
+/**
+* Sets an array data buffer element.
+*
+* @private
+* @param {Collection} buf - data buffer
+* @param {NonNegativeInteger} idx - element index
+* @param {*} value - value to set
+*/
+function set( buf, idx, value ) {
+ buf[ idx ] = value;
+}
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype ) {
+ var x;
+
+ x = discreteUniform( len, 1, 100 );
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order,
+ 'accessorProtocol': true,
+ 'accessors': [ get, set ]
+ };
+ 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 = anyBy( x, clbk );
+ if ( typeof out !== 'boolean' ) {
+ b.fail( 'should return a boolean' );
+ }
+ }
+ b.toc();
+ if ( !isBoolean( out ) ) {
+ 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 sh;
+ var t1;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2 ];
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+'::accessors:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+
+ sh = [ 2, len/2 ];
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+'::accessors:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+
+ len = floor( sqrt( len ) );
+ sh = [ len, len ];
+ len *= len;
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+'::accessors:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.3d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.3d_blocked_columnmajor.js
new file mode 100644
index 000000000000..b2de411a2d5f
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.3d_blocked_columnmajor.js
@@ -0,0 +1,144 @@
+/**
+* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
+var pow = require( '@stdlib/math/base/special/pow' );
+var cbrt = require( '@stdlib/math/base/special/cbrt' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var anyBy = require( './../lib/3d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Callback function.
+*
+* @param {*} value - ndarray element
+* @returns {boolean} result
+*/
+function clbk( value ) {
+ return value < 0.0;
+}
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype ) {
+ var x;
+
+ x = discreteUniform( len, 1, 100 );
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ 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 = anyBy( x, clbk );
+ if ( typeof out !== 'boolean' ) {
+ b.fail( 'should return a boolean' );
+ }
+ }
+ b.toc();
+ if ( !isBoolean( out ) ) {
+ 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 sh;
+ var t1;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1 ];
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+
+ sh = [ 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+
+ len = floor( cbrt( len ) );
+ sh = [ len, len, len ];
+ len *= len * len;
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.3d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.3d_blocked_rowmajor.js
new file mode 100644
index 000000000000..24e484d37256
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.3d_blocked_rowmajor.js
@@ -0,0 +1,144 @@
+/**
+* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
+var pow = require( '@stdlib/math/base/special/pow' );
+var cbrt = require( '@stdlib/math/base/special/cbrt' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var anyBy = require( './../lib/3d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Callback function.
+*
+* @param {*} value - ndarray element
+* @returns {boolean} result
+*/
+function clbk( value ) {
+ return value < 0.0;
+}
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype ) {
+ var x;
+
+ x = discreteUniform( len, 1, 100 );
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ 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 = anyBy( x, clbk );
+ if ( typeof out !== 'boolean' ) {
+ b.fail( 'should return a boolean' );
+ }
+ }
+ b.toc();
+ if ( !isBoolean( out ) ) {
+ 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 sh;
+ var t1;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1 ];
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+
+ sh = [ 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+
+ len = floor( cbrt( len ) );
+ sh = [ len, len, len ];
+ len *= len * len;
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.3d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.3d_columnmajor.js
new file mode 100644
index 000000000000..31e3bb3edae0
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.3d_columnmajor.js
@@ -0,0 +1,144 @@
+/**
+* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
+var pow = require( '@stdlib/math/base/special/pow' );
+var cbrt = require( '@stdlib/math/base/special/cbrt' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var anyBy = require( './../lib/3d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Callback function.
+*
+* @param {*} value - ndarray element
+* @returns {boolean} result
+*/
+function clbk( value ) {
+ return value < 0.0;
+}
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype ) {
+ var x;
+
+ x = discreteUniform( len, 1, 100 );
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ 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 = anyBy( x, clbk );
+ if ( typeof out !== 'boolean' ) {
+ b.fail( 'should return a boolean' );
+ }
+ }
+ b.toc();
+ if ( !isBoolean( out ) ) {
+ 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 sh;
+ var t1;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1 ];
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+
+ sh = [ 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+
+ len = floor( cbrt( len ) );
+ sh = [ len, len, len ];
+ len *= len * len;
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.3d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.3d_rowmajor.js
new file mode 100644
index 000000000000..cbc3c2d7ad91
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/benchmark/benchmark.3d_rowmajor.js
@@ -0,0 +1,144 @@
+/**
+* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
+var pow = require( '@stdlib/math/base/special/pow' );
+var cbrt = require( '@stdlib/math/base/special/cbrt' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var anyBy = require( './../lib/3d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Callback function.
+*
+* @param {*} value - ndarray element
+* @returns {boolean} result
+*/
+function clbk( value ) {
+ return value < 0.0;
+}
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype ) {
+ var x;
+
+ x = discreteUniform( len, 1, 100 );
+ x = {
+ 'dtype': xtype,
+ 'data': x,
+ 'shape': shape,
+ 'strides': shape2strides( shape, order ),
+ 'offset': 0,
+ 'order': order
+ };
+ 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 = anyBy( x, clbk );
+ if ( typeof out !== 'boolean' ) {
+ b.fail( 'should return a boolean' );
+ }
+ }
+ b.toc();
+ if ( !isBoolean( out ) ) {
+ 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 sh;
+ var t1;
+ var f;
+ var i;
+ var j;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( j = 0; j < types.length; j++ ) {
+ t1 = types[ j ];
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+
+ sh = [ len/2, 2, 1 ];
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+
+ sh = [ 1, 2, len/2 ];
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+
+ len = floor( cbrt( len ) );
+ sh = [ len, len, len ];
+ len *= len * len;
+ f = createBenchmark( len, sh, t1 );
+ bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/any-by/docs/repl.txt
new file mode 100644
index 000000000000..083e0eeb86b5
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/docs/repl.txt
@@ -0,0 +1,73 @@
+
+{{alias}}( arrays, predicate[, thisArg] )
+ Tests whether at least one element in an ndarray pass a test implemented by
+ a predicate function.
+
+ A provided "ndarray" should be an `object` with the following properties:
+
+ - dtype: data type.
+ - data: data buffer.
+ - shape: dimensions.
+ - strides: stride lengths.
+ - offset: index offset.
+ - order: specifies whether an ndarray is row-major (C-style) or column-major
+ (Fortran-style).
+
+ The predicate function is provided the following arguments:
+
+ - value: current array element.
+ - indices: current array element indices.
+ - arr: the input ndarray.
+
+ If provided an empty ndarray, the function returns `false`.
+
+ Parameters
+ ----------
+ arrays: ArrayLikeObject
+ Array-like object containing an input ndarray.
+
+ predicate: Function
+ Predicate function.
+
+ thisArg: any (optional)
+ Predicate function execution context.
+
+ Returns
+ -------
+ out: boolean
+ Boolean indicating whether at least one element in an ndarray pass a
+ test implemented by a predicate function.
+
+ Examples
+ --------
+ // Define ndarray data and meta data...
+ > var xbuf = new {{alias:@stdlib/array/float64}}( [ 1.0, 1.0, 1.0, 1.0 ] );
+ > var dt = 'float64';
+ > var sh = [ 2, 2 ];
+ > var sx = [ 2, 1 ];
+ > var ox = 0;
+ > var ord = 'row-major';
+
+ // Define a callback...
+ > function clbk( v ) { return v > 0.0; };
+
+ // Using an ndarray...
+ > var x = {{alias:@stdlib/ndarray/ctor}}( dt, xbuf, sh, sx, ox, ord );
+ > {{alias}}( [ x ], clbk )
+ true
+
+ // Using a minimal ndarray-like object...
+ > xbuf = new {{alias:@stdlib/array/float64}}( [ -1.0, -1.0, -1.0, 0.0 ] );
+ > x = {
+ ... 'dtype': dt,
+ ... 'data': xbuf,
+ ... 'shape': sh,
+ ... 'strides': sx,
+ ... 'offset': ox,
+ ... 'order': ord
+ ... };
+ > {{alias}}( [ x ], clbk )
+ false
+
+ See Also
+ --------
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/base/any-by/docs/types/index.d.ts
new file mode 100644
index 000000000000..aeaa5b0525a6
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/docs/types/index.d.ts
@@ -0,0 +1,109 @@
+/*
+* @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';
+import { typedndarray } from '@stdlib/types/ndarray';
+
+/**
+* Returns a boolean indicating whether an element passes a test.
+*
+* @returns boolean indicating whether an ndarray element passes a test
+*/
+type Nullary = ( this: U ) => boolean;
+
+/**
+* Returns a boolean indicating whether an element passes a test.
+*
+* @param value - current array element
+* @returns boolean indicating whether an ndarray element passes a test
+*/
+type Unary = ( this: U, value: T ) => boolean;
+
+/**
+* Returns a boolean indicating whether an element passes a test.
+*
+* @param value - current array element
+* @param indices - current array element indices
+* @returns boolean indicating whether an ndarray element passes a test
+*/
+type Binary = ( this: U, value: T, indices: Array ) => boolean;
+
+/**
+* Returns a boolean indicating whether an element passes a test.
+*
+* @param value - current array element
+* @param indices - current array element indices
+* @param arr - input array
+* @returns boolean indicating whether an ndarray element passes a test
+*/
+type Ternary = ( this: U, value: T, indices: Array, arr: typedndarray ) => boolean;
+
+/**
+* Returns a boolean indicating whether an element passes a test.
+*
+* @param value - current array element
+* @param indices - current array element indices
+* @param arr - input array
+* @returns boolean indicating whether an ndarray element passes a test
+*/
+type Predicate = Nullary | Unary | Binary | Ternary;
+
+/**
+* Tests whether at least one element in an ndarray pass a test implemented by a predicate function.
+*
+* @param arrays - array-like object containing an input ndarray
+* @param predicate - predicate function
+* @param thisArg - predicate function execution context
+* @returns boolean indicating whether at least one element pass a test
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* function predicate( value ) {
+* return value > 0.0;
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+*
+* // Define the shape of the array:
+* var shape = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 1 ];
+*
+* // Define the index offset:
+* var ox = 1;
+*
+* // Create the input ndarray:
+* var x = ndarray( 'float64', xbuf, shape, sx, ox, 'row-major' );
+*
+* // Test elements:
+* var out = anyBy( [ x ], predicate );
+* // returns true
+*/
+declare function anyBy( arrays: ArrayLike>, predicate: Predicate, thisArg?: ThisParameterType> ): boolean;
+
+
+// EXPORTS //
+
+export = anyBy;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/docs/types/test.ts b/lib/node_modules/@stdlib/ndarray/base/any-by/docs/types/test.ts
new file mode 100644
index 000000000000..bc686c5c5b4c
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/docs/types/test.ts
@@ -0,0 +1,99 @@
+/*
+* @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 zeros = require( '@stdlib/ndarray/zeros' );
+import anyBy = require( './index' );
+
+/**
+* Predicate function.
+*
+* @param v - ndarray element
+* @returns result
+*/
+function clbk( v: any ): boolean {
+ return v > 0.0;
+}
+
+
+// TESTS //
+
+// The function returns a boolean...
+{
+ const x = zeros( [ 2, 2 ] );
+ const arrays = [ x ];
+
+ anyBy( arrays, clbk ); // $ExpectType boolean
+ anyBy( arrays, clbk, {} ); // $ExpectType boolean
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array-like object containing ndarray-like objects...
+{
+ anyBy( 5, clbk ); // $ExpectError
+ anyBy( true, clbk ); // $ExpectError
+ anyBy( false, clbk ); // $ExpectError
+ anyBy( null, clbk ); // $ExpectError
+ anyBy( undefined, clbk ); // $ExpectError
+ anyBy( {}, clbk ); // $ExpectError
+ anyBy( [ 1 ], clbk ); // $ExpectError
+ anyBy( ( x: number ): number => x, clbk ); // $ExpectError
+
+ anyBy( 5, clbk, {} ); // $ExpectError
+ anyBy( true, clbk, {} ); // $ExpectError
+ anyBy( false, clbk, {} ); // $ExpectError
+ anyBy( null, clbk, {} ); // $ExpectError
+ anyBy( undefined, clbk, {} ); // $ExpectError
+ anyBy( {}, clbk, {} ); // $ExpectError
+ anyBy( [ 1 ], clbk, {} ); // $ExpectError
+ anyBy( ( x: number ): number => x, clbk, {} ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a callback function...
+{
+ const x = zeros( [ 2, 2 ] );
+ const arrays = [ x ];
+
+ anyBy( arrays, '10' ); // $ExpectError
+ anyBy( arrays, 5 ); // $ExpectError
+ anyBy( arrays, true ); // $ExpectError
+ anyBy( arrays, false ); // $ExpectError
+ anyBy( arrays, null ); // $ExpectError
+ anyBy( arrays, undefined ); // $ExpectError
+ anyBy( arrays, [] ); // $ExpectError
+ anyBy( arrays, {} ); // $ExpectError
+
+ anyBy( arrays, '10', {} ); // $ExpectError
+ anyBy( arrays, 5, {} ); // $ExpectError
+ anyBy( arrays, true, {} ); // $ExpectError
+ anyBy( arrays, false, {} ); // $ExpectError
+ anyBy( arrays, null, {} ); // $ExpectError
+ anyBy( arrays, undefined, {} ); // $ExpectError
+ anyBy( arrays, [], {} ); // $ExpectError
+ anyBy( arrays, {}, {} ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const x = zeros( [ 2, 2 ] );
+ const arrays = [ x ];
+
+ anyBy(); // $ExpectError
+ anyBy( arrays ); // $ExpectError
+ anyBy( arrays, clbk, {}, {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/examples/index.js b/lib/node_modules/@stdlib/ndarray/base/any-by/examples/index.js
new file mode 100644
index 000000000000..b3adf1c3c49d
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/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 discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var anyBy = require( './../lib' );
+
+function clbk( value ) {
+ return value > 0;
+}
+
+var x = {
+ 'dtype': 'generic',
+ 'data': discreteUniform( 10, -5, 5, {
+ 'dtype': 'generic'
+ }),
+ 'shape': [ 5, 2 ],
+ 'strides': [ 2, 1 ],
+ 'offset': 0,
+ 'order': 'row-major'
+};
+console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
+
+var out = anyBy( [ x ], clbk );
+console.log( out );
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/lib/0d.js b/lib/node_modules/@stdlib/ndarray/base/any-by/lib/0d.js
new file mode 100644
index 000000000000..338e044b324b
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/lib/0d.js
@@ -0,0 +1,83 @@
+/**
+* @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';
+
+// MAIN //
+
+/**
+* Tests whether at least one element in an ndarray pass a test implemented by a predicate function.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Function} predicate - predicate function
+* @param {*} thisArg - predicate function execution context
+* @returns {boolean} boolean indicating whether at least one element pass a test
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* function predicate( value ) {
+* return value > 0.0;
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( [ 1.0, 2.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+*
+* // Define the index offset:
+* var ox = 1;
+*
+* // Create the input ndarray-like object:
+* var x = {
+* 'ref': null,
+* 'dtype': 'float64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major'
+* };
+*
+* // Test elements:
+* var out = any0d( x, predicate );
+* // returns true
+*/
+function any0d( x, predicate, thisArg ) {
+ if ( predicate.call( thisArg, x.data[ x.offset ], [], x.ref ) ) {
+ return true;
+ }
+ return false;
+}
+
+
+// EXPORTS //
+
+module.exports = any0d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/lib/0d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any-by/lib/0d_accessors.js
new file mode 100644
index 000000000000..313ef75922e3
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/lib/0d_accessors.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';
+
+// MAIN //
+
+/**
+* Tests whether at least one element in an ndarray pass a test implemented by a predicate function.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array} x.accessors - data buffer accessors
+* @param {Function} predicate - predicate function
+* @param {*} thisArg - predicate function execution context
+* @returns {boolean} boolean indicating whether at least one element pass a test
+*
+* @example
+* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+* var accessors = require( '@stdlib/array/base/accessors' );
+*
+* function predicate( value ) {
+* return value > 0.0;
+* }
+*
+* // Create a data buffer:
+* var xbuf = toAccessorArray( [ 1.0, 2.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+*
+* // Define the index offset:
+* var ox = 1;
+*
+* // Create the input ndarray-like object:
+* var x = {
+* 'ref': null,
+* 'dtype': 'generic',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major',
+* 'accessors': accessors( xbuf ).accessors
+* };
+*
+* // Test elements:
+* var out = any0d( x, predicate );
+* // returns true
+*/
+function any0d( x, predicate, thisArg ) {
+ if ( predicate.call( thisArg, x.accessors[ 0 ]( x.data, x.offset ), [], x.ref ) ) { // eslint-disable-line max-len
+ return true;
+ }
+ return false;
+}
+
+
+// EXPORTS //
+
+module.exports = any0d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/lib/1d.js b/lib/node_modules/@stdlib/ndarray/base/any-by/lib/1d.js
new file mode 100644
index 000000000000..5f0403e2e6a3
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/lib/1d.js
@@ -0,0 +1,105 @@
+/**
+* @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';
+
+// MAIN //
+
+/**
+* Tests whether at least one element in an ndarray pass a test implemented by a predicate function.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Function} predicate - predicate function
+* @param {*} thisArg - predicate function execution context
+* @returns {boolean} boolean indicating whether at least one element pass a test
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* function predicate( value ) {
+* return value > 0.0;
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 4 ];
+*
+* // Define the array strides:
+* var sx = [ 2 ];
+*
+* // Define the index offset:
+* var ox = 1;
+*
+* // Create the input ndarray-like object:
+* var x = {
+* 'ref': null,
+* 'dtype': 'float64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major'
+* };
+*
+* // Test elements:
+* var out = any1d( x, predicate );
+* // returns true
+*/
+function any1d( x, predicate, thisArg ) {
+ var xbuf;
+ var dx0;
+ var S0;
+ var ix;
+ var i0;
+
+ // Note on variable naming convention: S#, dx#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Extract loop variables: dimensions and loop offset (pointer) increments:
+ S0 = x.shape[ 0 ];
+ dx0 = x.strides[ 0 ];
+
+ // Set a pointer to the first indexed element:
+ ix = x.offset;
+
+ // Cache a reference to the input ndarray buffer:
+ xbuf = x.data;
+
+ // Iterate over the ndarray dimensions...
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ if ( predicate.call( thisArg, xbuf[ ix ], [ i0 ], x.ref ) ) {
+ return true;
+ }
+ ix += dx0;
+ }
+ return false;
+}
+
+
+// EXPORTS //
+
+module.exports = any1d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/lib/1d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any-by/lib/1d_accessors.js
new file mode 100644
index 000000000000..a1db0fe597da
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/lib/1d_accessors.js
@@ -0,0 +1,112 @@
+/**
+* @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';
+
+// MAIN //
+
+/**
+* Tests whether at least one element in an ndarray pass a test implemented by a predicate function.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array} x.accessors - data buffer accessors
+* @param {Function} predicate - predicate function
+* @param {*} thisArg - predicate function execution context
+* @returns {boolean} boolean indicating whether at least one element pass a test
+*
+* @example
+* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+* var accessors = require( '@stdlib/array/base/accessors' );
+*
+* function predicate( value ) {
+* return value > 0.0;
+* }
+*
+* // Create a data buffer:
+* var xbuf = toAccessorArray( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 4 ];
+*
+* // Define the array strides:
+* var sx = [ 2 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create the input ndarray-like object:
+* var x = {
+* 'ref': null,
+* 'dtype': 'generic',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major',
+* 'accessors': accessors( xbuf ).accessors
+* };
+*
+* // Test elements:
+* var out = any1d( x, predicate );
+* // returns true
+*/
+function any1d( x, predicate, thisArg ) {
+ var xbuf;
+ var get;
+ var dx0;
+ var S0;
+ var ix;
+ var i0;
+
+ // Note on variable naming convention: S#, dx#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Extract loop variables: dimensions and loop offset (pointer) increments...
+ S0 = x.shape[ 0 ];
+ dx0 = x.strides[ 0 ];
+
+ // Set a pointer to the first indexed element:
+ ix = x.offset;
+
+ // Cache a reference to the input ndarray buffer:
+ xbuf = x.data;
+
+ // Cache accessor:
+ get = x.accessors[ 0 ];
+
+ // Iterate over the ndarray dimensions...
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ if ( predicate.call( thisArg, get( xbuf, ix ), [ i0 ], x.ref) ) {
+ return true;
+ }
+ ix += dx0;
+ }
+ return false;
+}
+
+
+// EXPORTS //
+
+module.exports = any1d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/lib/2d.js b/lib/node_modules/@stdlib/ndarray/base/any-by/lib/2d.js
new file mode 100644
index 000000000000..5adef058c8cd
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/lib/2d.js
@@ -0,0 +1,136 @@
+/**
+* @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 strides2order = require( '@stdlib/ndarray/base/strides2order' );
+var zeroTo = require( '@stdlib/array/base/zero-to' );
+var reverse = require( '@stdlib/array/base/reverse' );
+var take = require( '@stdlib/array/base/take-indexed' );
+
+
+// MAIN //
+
+/**
+* Tests whether at least one element in an ndarray pass a test implemented by a predicate function.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Function} predicate - predicate function
+* @param {*} thisArg - predicate function execution context
+* @returns {boolean} boolean indicating whether at least one element pass a test
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* function predicate( value ) {
+* return value > 0.0;
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 1 ];
+*
+* // Define the index offset:
+* var ox = 1;
+*
+* // Create the input ndarray-like object:
+* var x = {
+* 'ref': null,
+* 'dtype': 'float64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major'
+* };
+*
+* // Test elements:
+* var out = any2d( x, predicate );
+* // returns true
+*/
+function any2d( x, predicate, thisArg ) {
+ var xbuf;
+ var idx;
+ var dx0;
+ var dx1;
+ var sh;
+ var S0;
+ var S1;
+ var sx;
+ var ix;
+ var i0;
+ var i1;
+
+ // Note on variable naming convention: S#, dx#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+ sh = x.shape;
+ sx = x.strides;
+ idx = zeroTo( sh.length );
+ if ( strides2order( sx ) === 1 ) {
+ // For row-major ndarrays, the last dimensions have the fastest changing indices...
+ S0 = sh[ 1 ];
+ S1 = sh[ 0 ];
+ dx0 = sx[ 1 ]; // offset increment for innermost loop
+ dx1 = sx[ 0 ] - ( S0*sx[1] ); // offset increment for outermost loop
+ } else { // order === 'column-major'
+ // For column-major ndarrays, the first dimensions have the fastest changing indices...
+ S0 = sh[ 0 ];
+ S1 = sh[ 1 ];
+ dx0 = sx[ 0 ]; // offset increment for innermost loop
+ dx1 = sx[ 1 ] - ( S0*sx[0] ); // offset increment for outermost loop
+ idx = reverse( idx );
+ }
+ // Set a pointer to the first indexed element:
+ ix = x.offset;
+
+ // Cache a reference to the input ndarray buffer:
+ xbuf = x.data;
+
+ // Iterate over the ndarray dimensions...
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ if ( predicate.call( thisArg, xbuf[ ix ], take( [ i1, i0 ], idx ), x.ref ) ) { // eslint-disable-line max-len
+ return true;
+ }
+ ix += dx0;
+ }
+ ix += dx1;
+ }
+ return false;
+}
+
+
+// EXPORTS //
+
+module.exports = any2d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/lib/2d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any-by/lib/2d_accessors.js
new file mode 100644
index 000000000000..c8c6edf13a7a
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/lib/2d_accessors.js
@@ -0,0 +1,143 @@
+/**
+* @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 strides2order = require( '@stdlib/ndarray/base/strides2order' );
+var zeroTo = require( '@stdlib/array/base/zero-to' );
+var reverse = require( '@stdlib/array/base/reverse' );
+var take = require( '@stdlib/array/base/take-indexed' );
+
+
+// MAIN //
+
+/**
+* Tests whether at least one element in an ndarray pass a test implemented by a predicate function.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array} x.accessors - data buffer accessors
+* @param {Function} predicate - predicate function
+* @param {*} thisArg - predicate function execution context
+* @returns {boolean} boolean indicating whether at least one element pass a test
+*
+* @example
+* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+* var accessors = require( '@stdlib/array/base/accessors' );
+*
+* function predicate( value ) {
+* return value > 0.0;
+* }
+*
+* // Create a data buffer:
+* var xbuf = toAccessorArray( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create the input ndarray-like object:
+* var x = {
+* 'ref': null,
+* 'dtype': 'generic',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major',
+* 'accessors': accessors( xbuf ).accessors
+* };
+*
+* // Test elements:
+* var out = any2d( x, predicate );
+* // returns true
+*/
+function any2d( x, predicate, thisArg ) {
+ var xbuf;
+ var idx;
+ var get;
+ var dx0;
+ var dx1;
+ var sh;
+ var S0;
+ var S1;
+ var sx;
+ var ix;
+ var i0;
+ var i1;
+
+ // Note on variable naming convention: S#, dx#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+ sh = x.shape;
+ sx = x.strides;
+ idx = zeroTo( sh.length );
+ if ( strides2order( sx ) === 1 ) {
+ // For row-major ndarrays, the last dimensions have the fastest changing indices...
+ S0 = sh[ 1 ];
+ S1 = sh[ 0 ];
+ dx0 = sx[ 1 ]; // offset increment for innermost loop
+ dx1 = sx[ 0 ] - ( S0*sx[1] ); // offset increment for outermost loop
+ } else { // order === 'column-major'
+ // For column-major ndarrays, the first dimensions have the fastest changing indices...
+ S0 = sh[ 0 ];
+ S1 = sh[ 1 ];
+ dx0 = sx[ 0 ]; // offset increment for innermost loop
+ dx1 = sx[ 1 ] - ( S0*sx[0] ); // offset increment for outermost loop
+ idx = reverse( idx );
+ }
+ // Set a pointer to the first indexed element:
+ ix = x.offset;
+
+ // Cache a reference to the input ndarray buffer:
+ xbuf = x.data;
+
+ // Cache accessor:
+ get = x.accessors[ 0 ];
+
+ // Iterate over the ndarray dimensions...
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ if ( predicate.call( thisArg, get( xbuf, ix ), take( [ i1, i0 ], idx ), x.ref ) ) { // eslint-disable-line max-len
+ return true;
+ }
+ ix += dx0;
+ }
+ ix += dx1;
+ }
+ return false;
+}
+
+
+// EXPORTS //
+
+module.exports = any2d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/lib/2d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/any-by/lib/2d_blocked.js
new file mode 100644
index 000000000000..0b93b909f19d
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/lib/2d_blocked.js
@@ -0,0 +1,162 @@
+/**
+* @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 loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+var take = require( '@stdlib/array/base/take-indexed' );
+var reverse = require( '@stdlib/array/base/reverse' );
+
+
+// MAIN //
+
+/**
+* Tests whether at least one element in an ndarray pass a test implemented by a predicate function via loop blocking.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Function} predicate - predicate function
+* @param {*} thisArg - predicate function execution context
+* @returns {boolean} boolean indicating whether at least one element pass a test
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* function predicate( value ) {
+* return value > 0.0;
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 1 ];
+*
+* // Define the index offset:
+* var ox = 1;
+*
+* // Create the input ndarray-like object:
+* var x = {
+* 'ref': null,
+* 'dtype': 'float64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major'
+* };
+*
+* // Test elements:
+* var out = blockedany2d( x, predicate );
+* // returns true
+*/
+function blockedany2d( x, predicate, thisArg ) {
+ var bsize;
+ var xbuf;
+ var idx;
+ var dx0;
+ var dx1;
+ var ox1;
+ var sh;
+ var s0;
+ var s1;
+ var sx;
+ var ox;
+ var ix;
+ var i0;
+ var i1;
+ var j0;
+ var j1;
+ var o;
+
+ // Note on variable naming convention: s#, dx#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Resolve the loop interchange order:
+ o = loopOrder( x.shape, x.strides );
+ sh = o.sh;
+ sx = o.sx;
+ idx = reverse( o.idx );
+
+ // Determine the block size:
+ bsize = blockSize( x.dtype );
+
+ // Set a pointer to the first indexed element:
+ ox = x.offset;
+
+ // Cache a reference to the input ndarray buffer:
+ xbuf = x.data;
+
+ // Cache the offset increment for the innermost loop:
+ dx0 = sx[0];
+
+ // Iterate over blocks...
+ for ( j1 = sh[1]; j1 > 0; ) {
+ if ( j1 < bsize ) {
+ s1 = j1;
+ j1 = 0;
+ } else {
+ s1 = bsize;
+ j1 -= bsize;
+ }
+ ox1 = ox + ( j1*sx[1] );
+ for ( j0 = sh[0]; j0 > 0; ) {
+ if ( j0 < bsize ) {
+ s0 = j0;
+ j0 = 0;
+ } else {
+ s0 = bsize;
+ j0 -= bsize;
+ }
+ // Compute the index offset for the first input ndarray element in the current block:
+ ix = ox1 + ( j0*sx[0] );
+
+ // Compute the loop offset increment:
+ dx1 = sx[1] - ( s0*sx[0] );
+
+ // Iterate over the ndarray dimensions...
+ for ( i1 = 0; i1 < s1; i1++ ) {
+ for ( i0 = 0; i0 < s0; i0++ ) {
+ if ( predicate.call( thisArg, xbuf[ ix ], take( [ j1+i1, j0+i0 ], idx ), x.ref ) ) { // eslint-disable-line max-len
+ return true;
+ }
+ ix += dx0;
+ }
+ ix += dx1;
+ }
+ }
+ }
+ return false;
+}
+
+
+// EXPORTS //
+
+module.exports = blockedany2d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/lib/2d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any-by/lib/2d_blocked_accessors.js
new file mode 100644
index 000000000000..327f7b9f5ec3
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/lib/2d_blocked_accessors.js
@@ -0,0 +1,169 @@
+/**
+* @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 loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+var take = require( '@stdlib/array/base/take-indexed' );
+var reverse = require( '@stdlib/array/base/reverse' );
+
+
+// MAIN //
+
+/**
+* Tests whether at least one element in an ndarray pass a test implemented by a predicate function via loop blocking.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array} x.accessors - data buffer accessors
+* @param {Function} predicate - predicate function
+* @param {*} thisArg - predicate function execution context
+* @returns {boolean} boolean indicating whether at least one element pass a test
+*
+* @example
+* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+* var accessors = require( '@stdlib/array/base/accessors' );
+*
+* function predicate( value ) {
+* return value > 0.0;
+* }
+*
+* // Create a data buffer:
+* var xbuf = toAccessorArray( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create the input ndarray-like object:
+* var x = {
+* 'ref': null,
+* 'dtype': 'generic',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major',
+* 'accessors': accessors( xbuf ).accessors
+* };
+*
+* // Test elements:
+* var out = blockedany2d( x, predicate );
+* // returns true
+*/
+function blockedany2d( x, predicate, thisArg ) {
+ var bsize;
+ var xbuf;
+ var idx;
+ var get;
+ var dx0;
+ var dx1;
+ var ox1;
+ var sh;
+ var s0;
+ var s1;
+ var sx;
+ var ox;
+ var ix;
+ var i0;
+ var i1;
+ var j0;
+ var j1;
+ var o;
+
+ // Note on variable naming convention: s#, dx#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Resolve the loop interchange order:
+ o = loopOrder( x.shape, x.strides );
+ sh = o.sh;
+ sx = o.sx;
+ idx = reverse( o.idx );
+
+ // Determine the block size:
+ bsize = blockSize( x.dtype );
+
+ // Set a pointer to the first indexed element:
+ ox = x.offset;
+
+ // Cache a reference to the input ndarray buffer:
+ xbuf = x.data;
+
+ // Cache the offset increment for the innermost loop:
+ dx0 = sx[0];
+
+ // Cache accessor:
+ get = x.accessors[0];
+
+ // Iterate over blocks...
+ for ( j1 = sh[1]; j1 > 0; ) {
+ if ( j1 < bsize ) {
+ s1 = j1;
+ j1 = 0;
+ } else {
+ s1 = bsize;
+ j1 -= bsize;
+ }
+ ox1 = ox + ( j1*sx[1] );
+ for ( j0 = sh[0]; j0 > 0; ) {
+ if ( j0 < bsize ) {
+ s0 = j0;
+ j0 = 0;
+ } else {
+ s0 = bsize;
+ j0 -= bsize;
+ }
+ // Compute the index offset for the first input ndarray element in the current block:
+ ix = ox1 + ( j0*sx[0] );
+
+ // Compute the loop offset increment:
+ dx1 = sx[1] - ( s0*sx[0] );
+
+ // Iterate over the ndarray dimensions...
+ for ( i1 = 0; i1 < s1; i1++ ) {
+ for ( i0 = 0; i0 < s0; i0++ ) {
+ if ( predicate.call( thisArg, get( xbuf, ix ), take( [ j1+i1, j0+i0 ], idx ), x.ref ) ) { // eslint-disable-line max-len
+ return true;
+ }
+ ix += dx0;
+ }
+ ix += dx1;
+ }
+ }
+ }
+ return false;
+}
+
+
+// EXPORTS //
+
+module.exports = blockedany2d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/lib/3d.js b/lib/node_modules/@stdlib/ndarray/base/any-by/lib/3d.js
new file mode 100644
index 000000000000..3b99842b6195
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/lib/3d.js
@@ -0,0 +1,146 @@
+/**
+* @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 strides2order = require( '@stdlib/ndarray/base/strides2order' );
+var zeroTo = require( '@stdlib/array/base/zero-to' );
+var reverse = require( '@stdlib/array/base/reverse' );
+var take = require( '@stdlib/array/base/take-indexed' );
+
+
+// MAIN //
+
+/**
+* Tests whether at least one element in an ndarray pass a test implemented by a predicate function.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Function} predicate - predicate function
+* @param {*} thisArg - predicate function execution context
+* @returns {boolean} boolean indicating whether at least one element pass a test
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* function predicate( value ) {
+* return value > 0.0;
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 1 ];
+*
+* // Define the index offset:
+* var ox = 1;
+*
+* // Create the input ndarray-like object:
+* var x = {
+* 'ref': null,
+* 'dtype': 'float64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major'
+* };
+*
+* // Test elements:
+* var out = any3d( x, predicate );
+* // returns true
+*/
+function any3d( x, predicate, thisArg ) {
+ var xbuf;
+ var idx;
+ var dx0;
+ var dx1;
+ var dx2;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var sx;
+ var ix;
+ var i0;
+ var i1;
+ var i2;
+
+ // Note on variable naming convention: S#, dx#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+ sh = x.shape;
+ sx = x.strides;
+ idx = zeroTo( sh.length );
+ if ( strides2order( sx ) === 1 ) {
+ // For row-major ndarrays, the last dimensions have the fastest changing indices...
+ S0 = sh[ 2 ];
+ S1 = sh[ 1 ];
+ S2 = sh[ 0 ];
+ dx0 = sx[ 2 ]; // offset increment for innermost loop
+ dx1 = sx[ 1 ] - ( S0*sx[2] );
+ dx2 = sx[ 0 ] - ( S1*sx[1] ); // offset increment for outermost loop
+ } else { // order === 'column-major'
+ // For column-major ndarrays, the first dimensions have the fastest changing indices...
+ S0 = sh[ 0 ];
+ S1 = sh[ 1 ];
+ S2 = sh[ 2 ];
+ dx0 = sx[ 0 ]; // offset increment for innermost loop
+ dx1 = sx[ 1 ] - ( S0*sx[0] );
+ dx2 = sx[ 2 ] - ( S1*sx[1] ); // offset increment for outermost loop
+ idx = reverse( idx );
+ }
+ // Set a pointer to the first indexed element:
+ ix = x.offset;
+
+ // Cache a reference to the input ndarray buffer:
+ xbuf = x.data;
+
+ // Iterate over the ndarray dimensions...
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ if ( predicate.call( thisArg, xbuf[ ix ], take( [ i2, i1, i0 ], idx ), x.ref ) ) { // eslint-disable-line max-len
+ return true;
+ }
+ ix += dx0;
+ }
+ ix += dx1;
+ }
+ ix += dx2;
+ }
+ return false;
+}
+
+
+// EXPORTS //
+
+module.exports = any3d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/lib/3d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any-by/lib/3d_accessors.js
new file mode 100644
index 000000000000..bb7e01f88555
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/lib/3d_accessors.js
@@ -0,0 +1,153 @@
+/**
+* @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 strides2order = require( '@stdlib/ndarray/base/strides2order' );
+var zeroTo = require( '@stdlib/array/base/zero-to' );
+var reverse = require( '@stdlib/array/base/reverse' );
+var take = require( '@stdlib/array/base/take-indexed' );
+
+
+// MAIN //
+
+/**
+* Tests whether at least one element in an ndarray pass a test implemented by a predicate function.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array} x.accessors - data buffer accessors
+* @param {Function} predicate - predicate function
+* @param {*} thisArg - predicate function execution context
+* @returns {boolean} boolean indicating whether at least one element pass a test
+*
+* @example
+* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+* var accessors = require( '@stdlib/array/base/accessors' );
+*
+* function predicate( value ) {
+* return value > 0.0;
+* }
+*
+* // Create a data buffer:
+* var xbuf = toAccessorArray( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 2, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 2, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create the input ndarray-like object:
+* var x = {
+* 'ref': null,
+* 'dtype': 'generic',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major',
+* 'accessors': accessors( xbuf ).accessors
+* };
+*
+* // Test elements:
+* var out = any3d( x, predicate );
+* // returns true
+*/
+function any3d( x, predicate, thisArg ) {
+ var xbuf;
+ var idx;
+ var get;
+ var dx0;
+ var dx1;
+ var dx2;
+ var sh;
+ var S0;
+ var S1;
+ var S2;
+ var sx;
+ var ix;
+ var i0;
+ var i1;
+ var i2;
+
+ // Note on variable naming convention: S#, dx#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+ sh = x.shape;
+ sx = x.strides;
+ idx = zeroTo( sh.length );
+ if ( strides2order( sx ) === 1 ) {
+ // For row-major ndarrays, the last dimensions have the fastest changing indices...
+ S0 = sh[ 2 ];
+ S1 = sh[ 1 ];
+ S2 = sh[ 0 ];
+ dx0 = sx[ 2 ]; // offset increment for innermost loop
+ dx1 = sx[ 1 ] - ( S0*sx[2] );
+ dx2 = sx[ 0 ] - ( S1*sx[1] ); // offset increment for outermost loop
+ } else { // order === 'column-major'
+ // For column-major ndarrays, the first dimensions have the fastest changing indices...
+ S0 = sh[ 0 ];
+ S1 = sh[ 1 ];
+ S2 = sh[ 2 ];
+ dx0 = sx[ 0 ]; // offset increment for innermost loop
+ dx1 = sx[ 1 ] - ( S0*sx[0] );
+ dx2 = sx[ 2 ] - ( S1*sx[1] ); // offset increment for outermost loop
+ idx = reverse( idx );
+ }
+ // Set a pointer to the first indexed element:
+ ix = x.offset;
+
+ // Cache a reference to the input ndarray buffer:
+ xbuf = x.data;
+
+ // Cache accessor:
+ get = x.accessors[ 0 ];
+
+ // Iterate over the ndarray dimensions...
+ for ( i2 = 0; i2 < S2; i2++ ) {
+ for ( i1 = 0; i1 < S1; i1++ ) {
+ for ( i0 = 0; i0 < S0; i0++ ) {
+ if ( predicate.call( thisArg, get( xbuf, ix ), take( [ i2, i1, i0 ], idx ), x.ref ) ) { // eslint-disable-line max-len
+ return true;
+ }
+ ix += dx0;
+ }
+ ix += dx1;
+ }
+ ix += dx2;
+ }
+ return false;
+}
+
+
+// EXPORTS //
+
+module.exports = any3d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/lib/3d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/any-by/lib/3d_blocked.js
new file mode 100644
index 000000000000..9f9ce175d7d2
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/lib/3d_blocked.js
@@ -0,0 +1,183 @@
+/**
+* @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.
+*/
+
+/* eslint-disable max-depth */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+var take = require( '@stdlib/array/base/take-indexed' );
+var reverse = require( '@stdlib/array/base/reverse' );
+
+
+// MAIN //
+
+/**
+* Tests whether at least one element in an ndarray pass a test implemented by a predicate function via loop blocking.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Function} predicate - predicate function
+* @param {*} thisArg - predicate function execution context
+* @returns {boolean} boolean indicating whether at least one element pass a test
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* function predicate( value ) {
+* return value > 0.0;
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 1 ];
+*
+* // Define the index offset:
+* var ox = 1;
+*
+* // Create the input ndarray-like object:
+* var x = {
+* 'ref': null,
+* 'dtype': 'float64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major'
+* };
+*
+* // Test elements:
+* var out = blockedany3d( x, predicate );
+* // returns true
+*/
+function blockedany3d( x, predicate, thisArg ) {
+ var bsize;
+ var xbuf;
+ var idx;
+ var dx0;
+ var dx1;
+ var dx2;
+ var ox1;
+ var ox2;
+ var sh;
+ var s0;
+ var s1;
+ var s2;
+ var sx;
+ var ox;
+ var ix;
+ var i0;
+ var i1;
+ var i2;
+ var j0;
+ var j1;
+ var j2;
+ var o;
+
+ // Note on variable naming convention: s#, dx#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Resolve the loop interchange order:
+ o = loopOrder( x.shape, x.strides );
+ sh = o.sh;
+ sx = o.sx;
+ idx = reverse( o.idx );
+
+ // Determine the block size:
+ bsize = blockSize( x.dtype );
+
+ // Set a pointer to the first indexed element:
+ ox = x.offset;
+
+ // Cache a reference to the input ndarray buffer:
+ xbuf = x.data;
+
+ // Cache the offset increment for the innermost loop:
+ dx0 = sx[0];
+
+ // Iterate over blocks...
+ for ( j2 = sh[2]; j2 > 0; ) {
+ if ( j2 < bsize ) {
+ s2 = j2;
+ j2 = 0;
+ } else {
+ s2 = bsize;
+ j2 -= bsize;
+ }
+ ox2 = ox + ( j2*sx[2] );
+ for ( j1 = sh[1]; j1 > 0; ) {
+ if ( j1 < bsize ) {
+ s1 = j1;
+ j1 = 0;
+ } else {
+ s1 = bsize;
+ j1 -= bsize;
+ }
+ dx2 = sx[2] - ( s1*sx[1] );
+ ox1 = ox2 + ( j1*sx[1] );
+ for ( j0 = sh[0]; j0 > 0; ) {
+ if ( j0 < bsize ) {
+ s0 = j0;
+ j0 = 0;
+ } else {
+ s0 = bsize;
+ j0 -= bsize;
+ }
+ // Compute the index offset for the first input ndarray element in the current block:
+ ix = ox1 + ( j0*sx[0] );
+
+ // Compute the loop offset increment:
+ dx1 = sx[1] - ( s0*sx[0] );
+
+ // Iterate over the ndarray dimensions...
+ for ( i2 = 0; i2 < s2; i2++ ) {
+ for ( i1 = 0; i1 < s1; i1++ ) {
+ for ( i0 = 0; i0 < s0; i0++ ) {
+ if ( predicate.call( thisArg, xbuf[ ix ], take( [ j2+i2, j1+i1, j0+i0 ], idx ), x.ref ) ) { // eslint-disable-line max-len
+ return true;
+ }
+ ix += dx0;
+ }
+ ix += dx1;
+ }
+ ix += dx2;
+ }
+ }
+ }
+ }
+ return false;
+}
+
+
+// EXPORTS //
+
+module.exports = blockedany3d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/lib/3d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any-by/lib/3d_blocked_accessors.js
new file mode 100644
index 000000000000..56b5ba100a57
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/lib/3d_blocked_accessors.js
@@ -0,0 +1,190 @@
+/**
+* @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.
+*/
+
+/* eslint-disable max-depth */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+var take = require( '@stdlib/array/base/take-indexed' );
+var reverse = require( '@stdlib/array/base/reverse' );
+
+
+// MAIN //
+
+/**
+* Tests whether at least one element in an ndarray pass a test implemented by a predicate function via loop blocking.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array} x.accessors - data buffer accessors
+* @param {Function} predicate - predicate function
+* @param {*} thisArg - predicate function execution context
+* @returns {boolean} boolean indicating whether at least one element pass a test
+*
+* @example
+* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+* var accessors = require( '@stdlib/array/base/accessors' );
+*
+* function predicate( value ) {
+* return value > 0.0;
+* }
+*
+* // Create a data buffer:
+* var xbuf = toAccessorArray( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 2, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 2, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create the input ndarray-like object:
+* var x = {
+* 'ref': null,
+* 'dtype': 'generic',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major',
+* 'accessors': accessors( xbuf ).accessors
+* };
+*
+* // Test elements:
+* var out = blockedany3d( x, predicate );
+* // returns true
+*/
+function blockedany3d( x, predicate, thisArg ) {
+ var bsize;
+ var xbuf;
+ var idx;
+ var get;
+ var dx0;
+ var dx1;
+ var dx2;
+ var ox1;
+ var ox2;
+ var sh;
+ var s0;
+ var s1;
+ var s2;
+ var sx;
+ var ox;
+ var ix;
+ var i0;
+ var i1;
+ var i2;
+ var j0;
+ var j1;
+ var j2;
+ var o;
+
+ // Note on variable naming convention: s#, dx#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+ // Resolve the loop interchange order:
+ o = loopOrder( x.shape, x.strides );
+ sh = o.sh;
+ sx = o.sx;
+ idx = reverse( o.idx );
+
+ // Determine the block size:
+ bsize = blockSize( x.dtype );
+
+ // Set a pointer to the first indexed element:
+ ox = x.offset;
+
+ // Cache a reference to the input ndarray buffer:
+ xbuf = x.data;
+
+ // Cache the offset increment for the innermost loop:
+ dx0 = sx[0];
+
+ // Cache accessor:
+ get = x.accessors[0];
+
+ // Iterate over blocks...
+ for ( j2 = sh[2]; j2 > 0; ) {
+ if ( j2 < bsize ) {
+ s2 = j2;
+ j2 = 0;
+ } else {
+ s2 = bsize;
+ j2 -= bsize;
+ }
+ ox2 = ox + ( j2*sx[2] );
+ for ( j1 = sh[1]; j1 > 0; ) {
+ if ( j1 < bsize ) {
+ s1 = j1;
+ j1 = 0;
+ } else {
+ s1 = bsize;
+ j1 -= bsize;
+ }
+ dx2 = sx[2] - ( s1*sx[1] );
+ ox1 = ox2 + ( j1*sx[1] );
+ for ( j0 = sh[0]; j0 > 0; ) {
+ if ( j0 < bsize ) {
+ s0 = j0;
+ j0 = 0;
+ } else {
+ s0 = bsize;
+ j0 -= bsize;
+ }
+ // Compute the index offset for the first input ndarray element in the current block:
+ ix = ox1 + ( j0*sx[0] );
+
+ // Compute the loop offset increment:
+ dx1 = sx[1] - ( s0*sx[0] );
+
+ // Iterate over the ndarray dimensions...
+ for ( i2 = 0; i2 < s2; i2++ ) {
+ for ( i1 = 0; i1 < s1; i1++ ) {
+ for ( i0 = 0; i0 < s0; i0++ ) {
+ if ( predicate.call( thisArg, get( xbuf, ix ), take( [ j2+i2, j1+i1, j0+i0 ], idx ), x.ref ) ) { // eslint-disable-line max-len
+ return true;
+ }
+ ix += dx0;
+ }
+ ix += dx1;
+ }
+ ix += dx2;
+ }
+ }
+ }
+ }
+ return false;
+}
+
+
+// EXPORTS //
+
+module.exports = blockedany3d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/lib/index.js b/lib/node_modules/@stdlib/ndarray/base/any-by/lib/index.js
new file mode 100644
index 000000000000..a9e752ba264a
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/lib/index.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';
+
+/**
+* Test whether at least one element in an ndarray pass a test implemented by a predicate function.
+*
+* @module @stdlib/ndarray/base/any-by
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var anyBy = require( '@stdlib/ndarray/base/any-by' );
+*
+* function predicate( value ) {
+* return value > 0.0;
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 1 ];
+*
+* // Define the index offset:
+* var ox = 1;
+*
+* // Create the input ndarray-like object:
+* var x = {
+* 'ref': null,
+* 'dtype': 'float64',
+* 'data': xbuf,
+* 'shape': shape,
+* 'strides': sx,
+* 'offset': ox,
+* 'order': 'row-major'
+* };
+*
+* // Test elements:
+* var out = anyBy( [ x ], predicate );
+* // returns true
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any-by/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/any-by/lib/main.js
new file mode 100644
index 000000000000..8c0137a6c1cb
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any-by/lib/main.js
@@ -0,0 +1,167 @@
+/**
+* @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 iterationOrder = require( '@stdlib/ndarray/base/iteration-order' );
+var ndarray2object = require( '@stdlib/ndarray/base/ndarraylike2object' );
+var numel = require( '@stdlib/ndarray/base/numel' );
+var blockedaccessorany2d = require( './2d_blocked_accessors.js' );
+var blockedaccessorany3d = require( './3d_blocked_accessors.js' );
+var blockedany2d = require( './2d_blocked.js' );
+var blockedany3d = require( './3d_blocked.js' );
+var accessorany0d = require( './0d_accessors.js' );
+var accessorany1d = require( './1d_accessors.js' );
+var accessorany2d = require( './2d_accessors.js' );
+var accessorany3d = require( './3d_accessors.js' );
+var accessoranynd = require( './nd_accessors.js' );
+var any0d = require( './0d.js' );
+var any1d = require( './1d.js' );
+var any2d = require( './2d.js' );
+var any3d = require( './3d.js' );
+var anynd = require( './nd.js' );
+
+
+// VARIABLES //
+
+var ANY = [
+ any0d,
+ any1d,
+ any2d,
+ any3d
+];
+var ACCESSOR_ANY = [
+ accessorany0d,
+ accessorany1d,
+ accessorany2d,
+ accessorany3d
+];
+var BLOCKED_ANY = [
+ blockedany2d, // 0
+ blockedany3d
+];
+var BLOCKED_ACCESSOR_ANY = [
+ blockedaccessorany2d, // 0
+ blockedaccessorany3d
+];
+var MAX_DIMS = ANY.length - 1;
+
+
+// MAIN //
+
+/**
+* Tests whether at least one element in an ndarray pass a test implemented by a predicate function.
+*
+* ## Notes
+*
+* - A provided ndarray should be an `object` with the following properties:
+*
+* - **dtype**: data type.
+* - **data**: data buffer.
+* - **shape**: dimensions.
+* - **strides**: stride lengths.
+* - **offset**: index offset.
+* - **order**: specifies whether an ndarray is row-major (C-style) or column major (Fortran-style).
+*
+* @param {ArrayLikeObject