From bfd8b02b429a271c4102edda8273aaf7d0c0c22e Mon Sep 17 00:00:00 2001 From: Muhammad Haris <101793258+headlessNode@users.noreply.github.com> Date: Sun, 13 Jul 2025 10:50:47 +0000 Subject: [PATCH 1/4] feat: add ndarray/base/any --- 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 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/dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/README.md @@ -0,0 +1,146 @@ + + +# any + +> Test whether at least one element in an ndarray is truthy. + +
+ +
+ + + +
+ +## Usage + +```javascript +var any = require( '@stdlib/ndarray/base/any' ); +``` + +#### any( arrays ) + +Tests whether at least one element in an ndarray is truthy. + + + +```javascript +var Float64Array = require( '@stdlib/array/float64' ); + +// 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 = any( [ x ] ); +// returns true +``` + +The function accepts the following arguments: + +- **arrays**: array-like object containing an input ndarray. + +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). + +
+ + + +
+ +## 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 bernoulli = require( '@stdlib/random/array/bernoulli' ); +var ndarray2array = require( '@stdlib/ndarray/base/to-array' ); +var any = require( '@stdlib/ndarray/base/any' ); + +var x = { + 'dtype': 'generic', + 'data': bernoulli( 10, 0.9, { + '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 = any( [ x ] ); +console.log( out ); +``` + +
+ + + + + + + + + + + + diff --git a/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.1d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.1d_columnmajor.js new file mode 100644 index 000000000000..8925eb6d2253 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.1d_columnmajor.js @@ -0,0 +1,122 @@ +/** +* @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 zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'column-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( [ x ] ); + 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/benchmark/benchmark.1d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.1d_rowmajor.js new file mode 100644 index 000000000000..3a7c457abde4 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.1d_rowmajor.js @@ -0,0 +1,122 @@ +/** +* @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 zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'row-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( [ x ] ); + 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/benchmark/benchmark.2d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.2d_blocked_columnmajor.js new file mode 100644 index 000000000000..8004a0db3986 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.2d_blocked_columnmajor.js @@ -0,0 +1,134 @@ +/** +* @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 zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/2d_blocked.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'column-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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/benchmark/benchmark.2d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.2d_blocked_rowmajor.js new file mode 100644 index 000000000000..a9d6bc45fb49 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.2d_blocked_rowmajor.js @@ -0,0 +1,134 @@ +/** +* @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 zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/2d_blocked.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'row-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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/benchmark/benchmark.2d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.2d_columnmajor.js new file mode 100644 index 000000000000..cb5032322d81 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.2d_columnmajor.js @@ -0,0 +1,134 @@ +/** +* @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 zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/2d.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'column-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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/benchmark/benchmark.2d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.2d_rowmajor.js new file mode 100644 index 000000000000..9601b5214d45 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.2d_rowmajor.js @@ -0,0 +1,134 @@ +/** +* @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 zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/2d.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'row-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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/benchmark/benchmark.2d_rowmajor_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.2d_rowmajor_accessors.js new file mode 100644 index 000000000000..927aae280493 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.2d_rowmajor_accessors.js @@ -0,0 +1,160 @@ +/** +* @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 zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/2d_accessors.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'row-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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/benchmark/benchmark.2d_rowmajor_accessors_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.2d_rowmajor_accessors_complex.js new file mode 100644 index 000000000000..f0530c3428d6 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.2d_rowmajor_accessors_complex.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 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 zeros = require( '@stdlib/array/zeros' ); +var ctors = require( '@stdlib/array/typed-complex-ctors' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/2d_accessors.js' ); + + +// VARIABLES // + +var types = [ 'complex64' ]; +var order = 'row-major'; + + +// FUNCTIONS // + +/** +* 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.get( 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.set( value, idx ); +} + +/** +* 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 xbuf; + var x; + + xbuf = zeros( len, xtype ); + x = { + 'dtype': xtype, + 'data': new ( ctors( xtype ) )( xbuf.buffer ), + '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 = any( x ); + 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 = 5; // 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/benchmark/benchmark.3d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.3d_blocked_columnmajor.js new file mode 100644 index 000000000000..d754df7cca6f --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.3d_blocked_columnmajor.js @@ -0,0 +1,134 @@ +/** +* @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 zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/3d_blocked.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'column-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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/benchmark/benchmark.3d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.3d_blocked_rowmajor.js new file mode 100644 index 000000000000..e810430eca5d --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.3d_blocked_rowmajor.js @@ -0,0 +1,134 @@ +/** +* @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 zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/3d_blocked.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'row-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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/benchmark/benchmark.3d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.3d_columnmajor.js new file mode 100644 index 000000000000..fc3128bfe838 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.3d_columnmajor.js @@ -0,0 +1,134 @@ +/** +* @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 zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/3d.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'column-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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/benchmark/benchmark.3d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.3d_rowmajor.js new file mode 100644 index 000000000000..84a86c6a4566 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.3d_rowmajor.js @@ -0,0 +1,134 @@ +/** +* @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 zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/3d.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'row-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/any/docs/repl.txt new file mode 100644 index 000000000000..c1d7ddd3460c --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/docs/repl.txt @@ -0,0 +1,56 @@ + +{{alias}}( arrays ) + Tests whether at least one element in an ndarray is truthy. + + 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). + + If provided an empty ndarray, the function returns `false`. + + Parameters + ---------- + arrays: ArrayLikeObject + Array-like object containing an input ndarray. + + Returns + ------- + out: boolean + Boolean indicating whether at least one element in an ndarray is truthy. + + Examples + -------- + // Define ndarray data and meta data... + > var xbuf = new {{alias:@stdlib/array/float64}}( [ 1.0, 0.0, 1.0, 0.0 ] ); + > var dt = 'float64'; + > var sh = [ 2, 2 ]; + > var sx = [ 2, 1 ]; + > var ox = 0; + > var ord = 'row-major'; + + // Using an ndarray... + > var x = {{alias:@stdlib/ndarray/ctor}}( dt, xbuf, sh, sx, ox, ord ); + > {{alias}}( [ x ] ) + true + + // Using a minimal ndarray-like object... + > xbuf = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0, 0.0, 0.0 ] ); + > x = { + ... 'dtype': dt, + ... 'data': xbuf, + ... 'shape': sh, + ... 'strides': sx, + ... 'offset': ox, + ... 'order': ord + ... }; + > {{alias}}( [ x ] ) + false + + See Also + -------- diff --git a/lib/node_modules/@stdlib/ndarray/base/any/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/base/any/docs/types/index.d.ts new file mode 100644 index 000000000000..eb3a9318f855 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/docs/types/index.d.ts @@ -0,0 +1,59 @@ +/* +* @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'; + +/** +* Tests whether at least one element in an ndarray is truthy. +* +* @param arrays - array-like object containing an input ndarray +* @returns boolean indicating whether at least one element is truthy +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = any( [ x ] ); +* // returns true +*/ +declare function any( arrays: ArrayLike> ): boolean; + + +// EXPORTS // + +export = any; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/docs/types/test.ts b/lib/node_modules/@stdlib/ndarray/base/any/docs/types/test.ts new file mode 100644 index 000000000000..8ef3d9e95b74 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/docs/types/test.ts @@ -0,0 +1,54 @@ +/* +* @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 any = require( './index' ); + + +// TESTS // + +// The function returns a boolean... +{ + const x = zeros( [ 2, 2 ] ); + const arrays = [ x ]; + + any( arrays ); // $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... +{ + any( 5 ); // $ExpectError + any( true ); // $ExpectError + any( false ); // $ExpectError + any( null ); // $ExpectError + any( undefined ); // $ExpectError + any( {} ); // $ExpectError + any( [ 1 ] ); // $ExpectError + any( ( x: number ): number => x ); // $ExpectError +} + +// The compiler throws an error if the function is provided an unsupported number of arguments... +{ + const x = zeros( [ 2, 2 ] ); + const arrays = [ x ]; + + any(); // $ExpectError + any( arrays, 10 ); // $ExpectError +} diff --git a/lib/node_modules/@stdlib/ndarray/base/any/examples/index.js b/lib/node_modules/@stdlib/ndarray/base/any/examples/index.js new file mode 100644 index 000000000000..df00c79ffdc6 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/examples/index.js @@ -0,0 +1,38 @@ +/** +* @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 bernoulli = require( '@stdlib/random/array/bernoulli' ); +var ndarray2array = require( '@stdlib/ndarray/base/to-array' ); +var any = require( './../lib' ); + +var x = { + 'dtype': 'generic', + 'data': bernoulli( 10, 0.9, { + '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 = any( [ x ] ); +console.log( out ); diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/0d.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/0d.js new file mode 100644 index 000000000000..9c0eef508b86 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/0d.js @@ -0,0 +1,75 @@ +/** +* @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 is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = { +* 'dtype': 'float64', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = any0d( x ); +* // returns true +*/ +function any0d( x ) { + if ( x.data[ x.offset ] ) { + return true; + } + return false; +} + + +// EXPORTS // + +module.exports = any0d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/0d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/0d_accessors.js new file mode 100644 index 000000000000..e42e68d3a6b8 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/0d_accessors.js @@ -0,0 +1,78 @@ +/** +* @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 is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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 +* @returns {boolean} result +* +* @example +* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +* var accessors = require( '@stdlib/array/base/accessors' ); +* +* // 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 = { +* 'dtype': 'generic', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major', +* 'accessors': accessors( xbuf ).accessors +* }; +* +* // Test elements: +* var out = any0d( x ); +* // returns true +*/ +function any0d( x ) { + if ( x.accessors[ 0 ]( x.data, x.offset ) ) { + return true; + } + return false; +} + + +// EXPORTS // + +module.exports = any0d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/0d_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/0d_complex.js new file mode 100644 index 000000000000..69141b8d3fcf --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/0d_complex.js @@ -0,0 +1,75 @@ +/** +* @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 of a reinterpreted complex number ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'complex128', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = any0d( x ); +* // returns true +*/ +function any0d( x ) { + if ( x.data[ x.offset ] || x.data[ x.offset+1 ] ) { + return true; + } + return false; +} + + +// EXPORTS // + +module.exports = any0d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/1d.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/1d.js new file mode 100644 index 000000000000..ad4a3cfd28c2 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/1d.js @@ -0,0 +1,97 @@ +/** +* @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 is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = { +* 'dtype': 'float64', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = any1d( x ); +* // returns true +*/ +function any1d( x ) { + 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 ( xbuf[ ix ] ) { + return true; + } + ix += dx0; + } + return false; +} + + +// EXPORTS // + +module.exports = any1d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/1d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/1d_accessors.js new file mode 100644 index 000000000000..4108196fc8aa --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/1d_accessors.js @@ -0,0 +1,104 @@ +/** +* @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 is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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 +* @returns {boolean} result +* +* @example +* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +* var accessors = require( '@stdlib/array/base/accessors' ); +* +* // 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 = [ 1 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'generic', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major', +* 'accessors': accessors( xbuf ).accessors +* }; +* +* // Test elements: +* var out = any1d( x ); +* // returns true +*/ +function any1d( x ) { + var xbuf; + var get; + var dx0; + var S0; + var ix; + var i0; + + // Note on variable naming convention: S#, dx#, dy#, 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 ( get( xbuf, ix ) ) { + return true; + } + ix += dx0; + } + return false; +} + + +// EXPORTS // + +module.exports = any1d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/1d_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/1d_complex.js new file mode 100644 index 000000000000..af3a8785882e --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/1d_complex.js @@ -0,0 +1,97 @@ +/** +* @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 of a reinterpreted complex number ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'complex128', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = any1d( x ); +* // returns true +*/ +function any1d( x ) { + 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 ( ( xbuf[ ix ] || xbuf[ ix+1 ] ) ) { + return true; + } + ix += dx0; + } + return false; +} + + +// EXPORTS // + +module.exports = any1d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/2d.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/2d.js new file mode 100644 index 000000000000..37c1bba8913b --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/2d.js @@ -0,0 +1,122 @@ +/** +* @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' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = { +* 'dtype': 'float64', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = any2d( x ); +* // returns true +*/ +function any2d( x ) { + var xbuf; + 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#, dy#, 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; + 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 + } + // 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 ( xbuf[ ix ] ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + return false; +} + + +// EXPORTS // + +module.exports = any2d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_accessors.js new file mode 100644 index 000000000000..5b1f8e814e44 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_accessors.js @@ -0,0 +1,129 @@ +/** +* @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' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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 +* @returns {boolean} result +* +* @example +* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +* var accessors = require( '@stdlib/array/base/accessors' ); +* +* // 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 = [ 2, 1 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'generic', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major', +* 'accessors': accessors( xbuf ).accessors +* }; +* +* // Test elements: +* var out = any2d( x ); +* // returns true +*/ +function any2d( x ) { + var xbuf; + 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#, dy#, 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; + 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 + } + // 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 ( get( xbuf, ix ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + return false; +} + + +// EXPORTS // + +module.exports = any2d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_blocked.js new file mode 100644 index 000000000000..f750689667c3 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_blocked.js @@ -0,0 +1,150 @@ +/** +* @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' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy via loop blocking. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = { +* 'dtype': 'float64', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = blockedany2d( x ); +* // returns true +*/ +function blockedany2d( x ) { + var bsize; + var xbuf; + 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#, dy#, 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; + + // 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 ( xbuf[ ix ] ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + } + } + return false; +} + + +// EXPORTS // + +module.exports = blockedany2d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_blocked_accessors.js new file mode 100644 index 000000000000..5843d7c1b2d2 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_blocked_accessors.js @@ -0,0 +1,157 @@ +/** +* @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' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy via loop blocking. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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 +* @returns {boolean} result +* +* @example +* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +* var accessors = require( '@stdlib/array/base/accessors' ); +* +* // 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 = [ 2, 1 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'generic', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major', +* 'accessors': accessors( xbuf ).accessors +* }; +* +* // Test elements: +* var out = blockedany2d( x ); +* // returns true +*/ +function blockedany2d( x ) { + var bsize; + var xbuf; + 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#, dy#, 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; + + // 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 ( get( xbuf, ix ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + } + } + return false; +} + + +// EXPORTS // + +module.exports = blockedany2d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_blocked_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_blocked_complex.js new file mode 100644 index 000000000000..5f0f4a271e01 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_blocked_complex.js @@ -0,0 +1,150 @@ +/** +* @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' ); + + +// MAIN // + +/** +* Tests whether at least one element of a reinterpreted complex number ndarray is truthy via loop blocking. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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, 2 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'complex128', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = blockedany2d( x ); +* // returns true +*/ +function blockedany2d( x ) { + var bsize; + var xbuf; + 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#, dy#, 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; + + // 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 ( ( xbuf[ ix ] || xbuf[ ix+1 ] ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + } + } + return false; +} + + +// EXPORTS // + +module.exports = blockedany2d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_complex.js new file mode 100644 index 000000000000..a7e2a064e511 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_complex.js @@ -0,0 +1,122 @@ +/** +* @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' ); + + +// MAIN // + +/** +* Tests whether at least one element of a reinterpreted complex number ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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, 2 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'complex128', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = any2d( x ); +* // returns true +*/ +function any2d( x ) { + var xbuf; + 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#, dy#, 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; + 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 + } + // 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 ( ( xbuf[ ix ] || xbuf[ ix+1 ] ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + return false; +} + + +// EXPORTS // + +module.exports = any2d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/3d.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/3d.js new file mode 100644 index 000000000000..ed182389ac50 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/3d.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 strides2order = require( '@stdlib/ndarray/base/strides2order' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = { +* 'dtype': 'float64', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = any3d( x ); +* // returns true +*/ +function any3d( x ) { + var xbuf; + 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#, dy#, 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; + 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 + } + // 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 ( xbuf[ ix ] ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + return false; +} + + +// EXPORTS // + +module.exports = any3d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_accessors.js new file mode 100644 index 000000000000..b4620c5c0964 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_accessors.js @@ -0,0 +1,139 @@ +/** +* @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' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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 +* @returns {boolean} result +* +* @example +* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +* var accessors = require( '@stdlib/array/base/accessors' ); +* +* // 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 = [ 1, 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 = { +* 'dtype': 'generic', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major', +* 'accessors': accessors( xbuf ).accessors +* }; +* +* // Test elements: +* var out = any3d( x ); +* // returns true +*/ +function any3d( x ) { + var xbuf; + 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#, dy#, 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; + 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 + } + // 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 ( get( xbuf, ix ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + return false; +} + + +// EXPORTS // + +module.exports = any3d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_blocked.js new file mode 100644 index 000000000000..9d9a91f7ed16 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_blocked.js @@ -0,0 +1,171 @@ +/** +* @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' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy via loop blocking. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = { +* 'dtype': 'float64', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = blockedany3d( x ); +* // returns true +*/ +function blockedany3d( x ) { + var bsize; + var xbuf; + 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#, dy#, 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; + + // 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 ( xbuf[ ix ] ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + } + } + } + return false; +} + + +// EXPORTS // + +module.exports = blockedany3d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_blocked_accessors.js new file mode 100644 index 000000000000..22ee2e6c677b --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_blocked_accessors.js @@ -0,0 +1,178 @@ +/** +* @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' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy via loop blocking. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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 +* @returns {boolean} result +* +* @example +* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +* var accessors = require( '@stdlib/array/base/accessors' ); +* +* // 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 = [ 1, 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 = { +* 'dtype': 'generic', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major', +* 'accessors': accessors( xbuf ).accessors +* }; +* +* // Test elements: +* var out = blockedany3d( x ); +* // returns true +*/ +function blockedany3d( x ) { + var bsize; + var xbuf; + 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#, dy#, 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; + + // 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 ( get( xbuf, ix ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + } + } + } + return false; +} + + +// EXPORTS // + +module.exports = blockedany3d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_blocked_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_blocked_complex.js new file mode 100644 index 000000000000..41be569e1607 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_blocked_complex.js @@ -0,0 +1,171 @@ +/** +* @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' ); + + +// MAIN // + +/** +* Tests whether at least one element of a reinterpreted complex number ndarray is truthy via loop blocking. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 8, 4, 2 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'complex128', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = blockedany3d( x ); +* // returns true +*/ +function blockedany3d( x ) { + var bsize; + var xbuf; + 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#, dy#, 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; + + // 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 ( ( xbuf[ ix ] || xbuf[ ix+1 ] ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + } + } + } + return false; +} + + +// EXPORTS // + +module.exports = blockedany3d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_complex.js new file mode 100644 index 000000000000..a36a80dcb1c2 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_complex.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 strides2order = require( '@stdlib/ndarray/base/strides2order' ); + + +// MAIN // + +/** +* Tests whether at least one element of a reinterpreted complex number ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 8, 4, 2 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'complex128', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = any3d( x ); +* // returns true +*/ +function any3d( x ) { + var xbuf; + 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#, dy#, 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; + 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 + } + // 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 ( ( xbuf[ ix ] || xbuf[ ix+1 ] ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + return false; +} + + +// EXPORTS // + +module.exports = any3d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/index.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/index.js new file mode 100644 index 000000000000..6194d7c931eb --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/index.js @@ -0,0 +1,65 @@ +/** +* @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 is truthy. +* +* @module @stdlib/ndarray/base/any +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* var any = require( '@stdlib/ndarray/base/any' ); +* +* // 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 = any( [ x ], predicate ); +* // returns true +*/ + +// MODULES // + +var main = require( './main.js' ); + + +// EXPORTS // + +module.exports = main; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/main.js new file mode 100644 index 000000000000..34a8b4150646 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/main.js @@ -0,0 +1,291 @@ +/** +* @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 isComplexArray = require( '@stdlib/array/base/assert/is-complex-typed-array' ); +var isBooleanArray = require( '@stdlib/array/base/assert/is-booleanarray' ); +var iterationOrder = require( '@stdlib/ndarray/base/iteration-order' ); +var minmaxViewBufferIndex = require( '@stdlib/ndarray/base/minmax-view-buffer-index' ); +var ndarray2object = require( '@stdlib/ndarray/base/ndarraylike2object' ); +var reinterpretComplex = require( '@stdlib/strided/base/reinterpret-complex' ); +var reinterpretBoolean = require( '@stdlib/strided/base/reinterpret-boolean' ); +var gscal = require( '@stdlib/blas/base/gscal' ); +var blockedaccessorany2d = require( './2d_blocked_accessors.js' ); +var blockedaccessorany3d = require( './3d_blocked_accessors.js' ); +var blockedcomplexany2d = require( './2d_blocked_complex.js' ); +var blockedcomplexany3d = require( './3d_blocked_complex.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 complexany0d = require( './0d_complex.js' ); +var complexany1d = require( './1d_complex.js' ); +var complexany2d = require( './2d_complex.js' ); +var complexany3d = require( './3d_complex.js' ); +var complexanynd = require( './nd_complex.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 COMPLEX_ANY = [ + complexany0d, + complexany1d, + complexany2d, + complexany3d +]; +var BLOCKED_ANY = [ + blockedany2d, // 0 + blockedany3d +]; +var BLOCKED_ACCESSOR_ANY = [ + blockedaccessorany2d, // 0 + blockedaccessorany3d +]; +var BLOCKED_COMPLEX_ANY = [ + blockedcomplexany2d, // 0 + blockedcomplexany3d +]; +var MAX_DIMS = ANY.length - 1; + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy. +* +* ## 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} arrays - array-like object containing one input array +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = { +* 'dtype': 'float64', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = any( [ x ] ); +* // returns true +*/ +function any( arrays ) { + var isCmplx; + var ndims; + var xmmv; + var shx; + var iox; + var len; + var sx; + var ox; + var ns; + var x; + var d; + var i; + + // Unpack the ndarray and standardize ndarray meta data: + x = ndarray2object( arrays[ 0 ] ); + shx = x.shape; + ndims = shx.length; + + // Check for known array types which can be reinterpreted for better iteration performance... + if ( isBooleanArray( x.data ) ) { + x.data = reinterpretBoolean( x.data, 0 ); + x.accessorProtocol = false; + } else if ( isComplexArray( x.data ) ) { + x.data = reinterpretComplex( x.data, 0 ); + x.accessorProtocol = false; + x.strides = gscal( ndims, 2, x.strides, 1 ); + x.offset *= 2; + isCmplx = true; + } + // Determine whether we can avoid iteration altogether... + if ( ndims === 0 ) { + if ( x.accessorProtocol ) { + return ACCESSOR_ANY[ ndims ]( x ); + } + if ( isCmplx ) { + return COMPLEX_ANY[ ndims ]( x ); + } + return ANY[ ndims ]( x ); + } + // Compute the number of elements and the number of singleton dimensions... + len = 1; // number of elements + ns = 0; // number of singleton dimensions + for ( i = 0; i < ndims; i++ ) { + d = shx[ i ]; + + // Note that, if one of the dimensions is `0`, the length will be `0`... + len *= d; + + // Check whether the current dimension is a singleton dimension... + if ( d === 1 ) { + ns += 1; + } + } + // Check whether we were provided an empty ndarray... + if ( len === 0 ) { + return false; + } + // Determine whether the ndarray is one-dimensional and thus readily translates to a one-dimensional strided array... + if ( ndims === 1 ) { + if ( x.accessorProtocol ) { + return ACCESSOR_ANY[ ndims ]( x ); + } + if ( isCmplx ) { + return COMPLEX_ANY[ ndims ]( x ); + } + return ANY[ ndims ]( x ); + } + sx = x.strides; + + // Determine whether the ndarray has only **one** non-singleton dimension (e.g., ndims=4, shape=[10,1,1,1]) so that we can treat an ndarray as being equivalent to a one-dimensional strided array... + if ( ns === ndims-1 ) { + // Get the index of the non-singleton dimension... + for ( i = 0; i < ndims; i++ ) { + if ( shx[ i ] !== 1 ) { + break; + } + } + x.shape = [ shx[i] ]; + x.strides = [ sx[i] ]; + if ( x.accessorProtocol ) { + return ACCESSOR_ANY[ 1 ]( x ); + } + if ( isCmplx ) { + return COMPLEX_ANY[ 1 ]( x ); + } + return ANY[ 1 ]( x ); + } + iox = iterationOrder( sx ); // +/-1 + + // Determine whether we can avoid blocked iteration... + if ( iox !== 0 ) { + // Determine the minimum and maximum linear indices which are accessible by the array view: + xmmv = minmaxViewBufferIndex( shx, sx, x.offset ); + + // Determine whether we can ignore shape (and strides) and treat the ndarray as a linear one-dimensional strided array... + if ( len === ( xmmv[1]-xmmv[0]+1 ) || ( isCmplx && len*2 === ( xmmv[1]-xmmv[0]+1 ) ) ) { // eslint-disable-line max-len + // Note: the above is equivalent to @stdlib/ndarray/base/assert/is-contiguous, but in-lined so we can retain computed values... + if ( iox === 1 ) { + ox = xmmv[ 0 ]; + } else { + ox = xmmv[ 1 ]; + } + x.shape = [ len ]; + x.strides = [ ( isCmplx ) ? iox*2 : iox ]; + x.offset = ox; + if ( x.accessorProtocol ) { + return ACCESSOR_ANY[ 1 ]( x ); + } + if ( isCmplx ) { + return COMPLEX_ANY[ 1 ]( x ); + } + return ANY[ 1 ]( x ); + } + // The ndarray is non-contiguous, so we cannot directly use one-dimensional array functionality... + + // Determine whether we can use simple nested loops... + if ( ndims <= MAX_DIMS ) { + // So long as iteration always moves in the same direction (i.e., no mixed sign strides), we can leverage cache-optimal (i.e., normal) nested loops without resorting to blocked iteration... + if ( x.accessorProtocol ) { + return ACCESSOR_ANY[ ndims ]( x ); + } + if ( isCmplx ) { + return COMPLEX_ANY[ ndims ]( x ); + } + return ANY[ ndims ]( x ); + } + // Fall-through to blocked iteration... + } + // At this point, we're either dealing with a non-contiguous n-dimensional array or a high dimensional n-dimensional array, so our only hope is that we can still perform blocked iteration... + + // Determine whether we can perform blocked iteration... + if ( ndims <= MAX_DIMS ) { + if ( x.accessorProtocol ) { + return BLOCKED_ACCESSOR_ANY[ ndims-2 ]( x ); + } + if ( isCmplx ) { + return BLOCKED_COMPLEX_ANY[ ndims-2 ]( x ); + } + return BLOCKED_ANY[ ndims-2 ]( x ); + } + // Fall-through to linear view iteration without regard for how data is stored in memory (i.e., take the slow path)... + if ( x.accessorProtocol ) { + return accessoranynd( x ); + } + if ( isCmplx ) { + return complexanynd( x ); + } + return anynd( x ); +} + + +// EXPORTS // + +module.exports = any; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/nd.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/nd.js new file mode 100644 index 000000000000..27b3184fd08f --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/nd.js @@ -0,0 +1,116 @@ +/** +* @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 numel = require( '@stdlib/ndarray/base/numel' ); +var vind2bind = require( '@stdlib/ndarray/base/vind2bind' ); + + +// VARIABLES // + +var MODE = 'throw'; + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = { +* 'dtype': 'float64', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = anynd( x ); +* // returns true +*/ +function anynd( x ) { + var xbuf; + var ordx; + var len; + var sh; + var sx; + var ox; + var ix; + var i; + + sh = x.shape; + + // Compute the total number of elements over which to iterate: + len = numel( sh ); + + // Cache a reference to the output ndarray data buffer: + xbuf = x.data; + + // Cache a reference to the stride array: + sx = x.strides; + + // Cache the index of the first indexed element: + ox = x.offset; + + // Cache the array order: + ordx = x.order; + + // Iterate over each element based on the linear **view** index, regardless as to how the data is stored in memory... + for ( i = 0; i < len; i++ ) { + ix = vind2bind( sh, sx, ox, ordx, i, MODE ); + if ( xbuf[ ix ] ) { + return true; + } + } + return false; +} + + +// EXPORTS // + +module.exports = anynd; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/nd_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/nd_accessors.js new file mode 100644 index 000000000000..83494a542a58 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/nd_accessors.js @@ -0,0 +1,123 @@ +/** +* @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 numel = require( '@stdlib/ndarray/base/numel' ); +var vind2bind = require( '@stdlib/ndarray/base/vind2bind' ); + + +// VARIABLES // + +var MODE = 'throw'; + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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 +* @returns {boolean} result +* +* @example +* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +* var accessors = require( '@stdlib/array/base/accessors' ); +* +* // 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 = { +* 'dtype': 'generic', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major', +* 'accessors': accessors( xbuf ).accessors +* }; +* +* // Test elements: +* var out = anynd( x ); +* // returns true +*/ +function anynd( x ) { + var xbuf; + var ordx; + var len; + var get; + var sh; + var sx; + var ox; + var ix; + var i; + + sh = x.shape; + + // Compute the total number of elements over which to iterate: + len = numel( sh ); + + // Cache a reference to the output ndarray data buffer: + xbuf = x.data; + + // Cache a reference to the stride array: + sx = x.strides; + + // Cache the index of the first indexed element: + ox = x.offset; + + // Cache the array order: + ordx = x.order; + + // Cache accessor: + get = x.accessors[ 0 ]; + + // Iterate over each element based on the linear **view** index, regardless as to how the data is stored in memory... + for ( i = 0; i < len; i++ ) { + ix = vind2bind( sh, sx, ox, ordx, i, MODE ); + if ( get( xbuf, ix ) ) { + return true; + } + } + return false; +} + + +// EXPORTS // + +module.exports = anynd; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/nd_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/nd_complex.js new file mode 100644 index 000000000000..830fe66ef6ff --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/nd_complex.js @@ -0,0 +1,116 @@ +/** +* @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 numel = require( '@stdlib/ndarray/base/numel' ); +var vind2bind = require( '@stdlib/ndarray/base/vind2bind' ); + + +// VARIABLES // + +var MODE = 'throw'; + + +// MAIN // + +/** +* Tests whether at least one element of a reinterpreted complex number ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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, 2 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'complex128', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = anynd( x ); +* // returns true +*/ +function anynd( x ) { + var xbuf; + var ordx; + var len; + var sh; + var sx; + var ox; + var ix; + var i; + + sh = x.shape; + + // Compute the total number of elements over which to iterate: + len = numel( sh ); + + // Cache a reference to the output ndarray data buffer: + xbuf = x.data; + + // Cache a reference to the stride array: + sx = x.strides; + + // Cache the index of the first indexed element: + ox = x.offset; + + // Cache the array order: + ordx = x.order; + + // Iterate over each element based on the linear **view** index, regardless as to how the data is stored in memory... + for ( i = 0; i < len; i++ ) { + ix = vind2bind( sh, sx, ox, ordx, i, MODE ); + if ( ( xbuf[ ix ] || xbuf[ ix+1 ] ) ) { + return true; + } + } + return false; +} + + +// EXPORTS // + +module.exports = anynd; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/package.json b/lib/node_modules/@stdlib/ndarray/base/any/package.json new file mode 100644 index 000000000000..b1c0772e952c --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/package.json @@ -0,0 +1,63 @@ +{ + "name": "@stdlib/ndarray/base/any", + "version": "0.0.0", + "description": "Test whether at least one element in an ndarray is truthy.", + "license": "Apache-2.0", + "author": { + "name": "The Stdlib Authors", + "url": "https://github.com/stdlib-js/stdlib/graphs/contributors" + }, + "contributors": [ + { + "name": "The Stdlib Authors", + "url": "https://github.com/stdlib-js/stdlib/graphs/contributors" + } + ], + "main": "./lib", + "directories": { + "benchmark": "./benchmark", + "doc": "./docs", + "example": "./examples", + "lib": "./lib", + "test": "./test" + }, + "types": "./docs/types", + "scripts": {}, + "homepage": "https://github.com/stdlib-js/stdlib", + "repository": { + "type": "git", + "url": "git://github.com/stdlib-js/stdlib.git" + }, + "bugs": { + "url": "https://github.com/stdlib-js/stdlib/issues" + }, + "dependencies": {}, + "devDependencies": {}, + "engines": { + "node": ">=0.10.0", + "npm": ">2.7.0" + }, + "os": [ + "aix", + "darwin", + "freebsd", + "linux", + "macos", + "openbsd", + "sunos", + "win32", + "windows" + ], + "keywords": [ + "stdlib", + "base", + "strided", + "array", + "ndarray", + "any", + "utility", + "utils", + "truthy" + ], + "__stdlib__": {} +} diff --git a/lib/node_modules/@stdlib/ndarray/base/any/test/test.0d.js b/lib/node_modules/@stdlib/ndarray/base/any/test/test.0d.js new file mode 100644 index 000000000000..89258574e5f6 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/test/test.0d.js @@ -0,0 +1,97 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var tape = require( 'tape' ); +var Float64Array = require( '@stdlib/array/float64' ); +var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +var Complex128 = require( '@stdlib/complex/float64/ctor' ); +var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); +var ndarray = require( '@stdlib/ndarray/ctor' ); +var any = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof any, 'function', 'main export is a function'); + t.end(); +}); + +tape( 'the function tests whether at least one element in a 0-dimensional ndarray is truthy', function test( t ) { + var actual; + var x; + + x = scalar2ndarray( 0.0, { + 'dtype': 'float64' + }); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = scalar2ndarray( 1.0, { + 'dtype': 'float64' + }); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 0-dimensional ndarray is truthy (accessors)', function test( t ) { + var actual; + var x; + + x = ndarray( 'float64', toAccessorArray( new Float64Array( [ 0.0 ] ) ), [], [ 0 ], 0, 'row-major' ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( 'float64', toAccessorArray( new Float64Array( [ 1.0 ] ) ), [], [ 0 ], 0, 'row-major' ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 0-dimensional ndarray is truthy (complex)', function test( t ) { + var actual; + var x; + + x = scalar2ndarray( new Complex128( 0.0, 0.0 ), { + 'dtype': 'complex128' + }); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = scalar2ndarray( new Complex128( 1.0, 0.0 ), { + 'dtype': 'complex128' + }); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/ndarray/base/any/test/test.1d.js b/lib/node_modules/@stdlib/ndarray/base/any/test/test.1d.js new file mode 100644 index 000000000000..9e0d6aa33cab --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/test/test.1d.js @@ -0,0 +1,88 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var tape = require( 'tape' ); +var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +var zeros = require( '@stdlib/array/zeros' ); +var ones = require( '@stdlib/array/ones' ); +var ndarray = require( '@stdlib/ndarray/ctor' ); +var any = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof any, 'function', 'main export is a function'); + t.end(); +}); + +tape( 'the function tests whether at least one element in a 1-dimensional ndarray is truthy', function test( t ) { + var actual; + var x; + + x = ndarray( 'float64', zeros( 8, 'float64' ), [ 4 ], [ 2 ], 1, 'row-major' ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( 'float64', ones( 8, 'float64' ), [ 4 ], [ 2 ], 1, 'row-major' ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 1-dimensional ndarray is truthy (accessors)', function test( t ) { + var actual; + var x; + + x = ndarray( 'float64', toAccessorArray( zeros( 8, 'float64' ) ), [ 4 ], [ 2 ], 1, 'row-major' ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( 'float64', toAccessorArray( ones( 8, 'float64' ) ), [ 4 ], [ 2 ], 1, 'row-major' ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 1-dimensional ndarray is truthy (complex)', function test( t ) { + var actual; + var x; + + x = ndarray( 'complex128', zeros( 6, 'complex128' ), [ 4 ], [ 1 ], 1, 'row-major' ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( 'complex128', ones( 6, 'complex128' ), [ 4 ], [ 1 ], 1, 'row-major' ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/ndarray/base/any/test/test.2d.js b/lib/node_modules/@stdlib/ndarray/base/any/test/test.2d.js new file mode 100644 index 000000000000..8d3d4077de46 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/test/test.2d.js @@ -0,0 +1,1197 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var tape = require( 'tape' ); +var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +var zeros = require( '@stdlib/array/zeros' ); +var ones = require( '@stdlib/array/ones' ); +var numel = require( '@stdlib/ndarray/base/numel' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var strides2offset = require( '@stdlib/ndarray/base/strides2offset' ); +var ndarray = require( '@stdlib/ndarray/ctor' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); +var any = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof any, 'function', 'main export is a function'); + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 2 ]; + st = [ -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 2 ]; + st = [ 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 2 ]; + st = [ 4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2 ]; + st = [ -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2 ]; + st = [ bsize*4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 2 ]; + st = [ -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 2 ]; + st = [ 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 2 ]; + st = [ 4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2 ]; + st = [ -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2 ]; + st = [ bsize*4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 2 ]; + st = [ -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 2 ]; + st = [ 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 8, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 8, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 2 ]; + st = [ 4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 8, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 8, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2 ]; + st = [ -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2 ]; + st = [ bsize*4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 4, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 4, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 2 ]; + st = [ -1, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 2 ]; + st = [ 2, 4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 2 ]; + st = [ -2, 4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2 ]; + st = [ 2, -bsize*4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2 ]; + st = [ -2, 4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 2 ]; + st = [ -1, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 2 ]; + st = [ 2, 4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 2 ]; + st = [ -2, 4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2 ]; + st = [ -2, bsize*2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2 ]; + st = [ 2, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 2 ]; + st = [ -1, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 2 ]; + st = [ 2, 4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 8, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 8, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 2 ]; + st = [ -2, 4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 8, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 8, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2 ]; + st = [ -2, bsize*2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2 ]; + st = [ 2, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/ndarray/base/any/test/test.3d.js b/lib/node_modules/@stdlib/ndarray/base/any/test/test.3d.js new file mode 100644 index 000000000000..5771f179c0b5 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/test/test.3d.js @@ -0,0 +1,1383 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var tape = require( 'tape' ); +var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +var zeros = require( '@stdlib/array/zeros' ); +var ones = require( '@stdlib/array/ones' ); +var numel = require( '@stdlib/ndarray/base/numel' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var strides2offset = require( '@stdlib/ndarray/base/strides2offset' ); +var ndarray = require( '@stdlib/ndarray/ctor' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); +var any = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof any, 'function', 'main export is a function'); + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2 ]; + st = [ -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2 ]; + st = [ 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2 ]; + st = [ -4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2 ]; + st = [ -4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, bsize*2, 2 ]; + st = [ -8, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, bsize*2 ]; + st = [ bsize*8, bsize*4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 2, 2 ]; + st = [ -4, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 1, 2 ]; + st = [ 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 1, 2 ]; + st = [ -4, -4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2 ]; + st = [ -4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, bsize*2, 2 ]; + st = [ -8, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, bsize*2 ]; + st = [ -bsize*8, -bsize*4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 2, 2 ]; + st = [ -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2 ]; + st = [ 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2 ]; + st = [ -3, -2, 1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2 ]; + st = [ -4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, bsize*2, 2 ]; + st = [ -8, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, bsize*2 ]; + st = [ bsize*8, bsize*4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 4, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 4, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2 ]; + st = [ -1, -2, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2 ]; + st = [ 2, 4, 4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2 ]; + st = [ 2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2 ]; + st = [ 2, -bsize*4, -bsize*4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 1, bsize*2, 2 ]; + st = [ 2, -2, -bsize*4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2 ]; + st = [ 2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 2, 2 ]; + st = [ -1, -2, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 1, 2 ]; + st = [ 2, 4, 4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 1, 2 ]; + st = [ -2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2, 1 ]; + st = [ 2, -bsize*4, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 1, bsize*2, 2 ]; + st = [ 2, -2, bsize*4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2 ]; + st = [ 2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 2, 2 ]; + st = [ -1, -2, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2 ]; + st = [ 2, 4, 4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2 ]; + st = [ 1, -2, -3 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2, 1 ]; + st = [ 2, -bsize*4, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 1, bsize*2, 2 ]; + st = [ -2, -2, -bsize*4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2 ]; + st = [ 2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/ndarray/base/any/test/test.js b/lib/node_modules/@stdlib/ndarray/base/any/test/test.js new file mode 100644 index 000000000000..e4625a304a5c --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/test/test.js @@ -0,0 +1,47 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var tape = require( 'tape' ); +var zeros = require( '@stdlib/array/zeros' ); +var ndarray = require( '@stdlib/ndarray/ctor' ); +var any = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof any, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function returns `false` if the input is an empty ndarray', function test( t ) { + var actual; + var x; + + x = ndarray( 'float64', zeros( 8, 'float64' ), [ 0 ], [ 1 ], 0, 'row-major' ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/ndarray/base/any/test/test.nd.js b/lib/node_modules/@stdlib/ndarray/base/any/test/test.nd.js new file mode 100644 index 000000000000..7fb53a5d8ecc --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/test/test.nd.js @@ -0,0 +1,656 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var tape = require( 'tape' ); +var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +var zeros = require( '@stdlib/array/zeros' ); +var ones = require( '@stdlib/array/ones' ); +var numel = require( '@stdlib/ndarray/base/numel' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var strides2offset = require( '@stdlib/ndarray/base/strides2offset' ); +var ndarray = require( '@stdlib/ndarray/ctor' ); +var any = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof any, 'function', 'main export is a function'); + t.end(); +}); + +tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (row-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (row-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (row-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 16, 16, 16, 16, 8, 4, 2, 1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 16, 16, 16, 16, -8, -4, -2, 1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (row-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 16, 16, 16, 16, 8, 4, 2, 1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 16, 16, -16, 16, -8, -4, -2, 1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (row-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 16, 16, 16, 16, 8, 4, 2, 1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 16, 16, -16, 16, -8, -4, -2, 1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (column-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (column-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (column-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 1, 1, 1, 1, 1, 1, 1, 1, -1, -4, 8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (column-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 1, 1, 1, 1, -1, 1, -1, 1, 1, -4, -8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (column-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 1, 1, 1, 1, -1, 1, -1, 1, 1, -4, -8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); From dd31802c7cddd14afda5f5a43c7e82d4b0b0c60d Mon Sep 17 00:00:00 2001 From: Muhammad Haris <101793258+headlessNode@users.noreply.github.com> Date: Thu, 17 Jul 2025 18:25:20 +0000 Subject: [PATCH 2/4] feat: add kernels upto 10d --- 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: na - task: lint_package_json status: na - task: lint_repl_help status: na - task: lint_javascript_src status: passed - task: lint_javascript_cli status: na - task: lint_javascript_examples status: na - task: lint_javascript_tests status: na - task: lint_javascript_benchmarks status: na - 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: na - task: lint_typescript_tests status: na - task: lint_license_headers status: passed --- --- .../@stdlib/ndarray/base/any/lib/10d.js | 204 ++++++++++++ .../ndarray/base/any/lib/10d_accessors.js | 211 ++++++++++++ .../ndarray/base/any/lib/10d_blocked.js | 304 +++++++++++++++++ .../base/any/lib/10d_blocked_accessors.js | 311 ++++++++++++++++++ .../base/any/lib/10d_blocked_complex.js | 304 +++++++++++++++++ .../ndarray/base/any/lib/10d_complex.js | 204 ++++++++++++ .../@stdlib/ndarray/base/any/lib/4d.js | 142 ++++++++ .../ndarray/base/any/lib/4d_accessors.js | 149 +++++++++ .../ndarray/base/any/lib/4d_blocked.js | 190 +++++++++++ .../base/any/lib/4d_blocked_accessors.js | 197 +++++++++++ .../base/any/lib/4d_blocked_complex.js | 190 +++++++++++ .../ndarray/base/any/lib/4d_complex.js | 142 ++++++++ .../@stdlib/ndarray/base/any/lib/5d.js | 154 +++++++++ .../ndarray/base/any/lib/5d_accessors.js | 161 +++++++++ .../ndarray/base/any/lib/5d_blocked.js | 209 ++++++++++++ .../base/any/lib/5d_blocked_accessors.js | 216 ++++++++++++ .../base/any/lib/5d_blocked_complex.js | 209 ++++++++++++ .../ndarray/base/any/lib/5d_complex.js | 154 +++++++++ .../@stdlib/ndarray/base/any/lib/6d.js | 164 +++++++++ .../ndarray/base/any/lib/6d_accessors.js | 171 ++++++++++ .../ndarray/base/any/lib/6d_blocked.js | 228 +++++++++++++ .../base/any/lib/6d_blocked_accessors.js | 235 +++++++++++++ .../base/any/lib/6d_blocked_complex.js | 228 +++++++++++++ .../ndarray/base/any/lib/6d_complex.js | 164 +++++++++ .../@stdlib/ndarray/base/any/lib/7d.js | 174 ++++++++++ .../ndarray/base/any/lib/7d_accessors.js | 181 ++++++++++ .../ndarray/base/any/lib/7d_blocked.js | 247 ++++++++++++++ .../base/any/lib/7d_blocked_accessors.js | 254 ++++++++++++++ .../base/any/lib/7d_blocked_complex.js | 247 ++++++++++++++ .../ndarray/base/any/lib/7d_complex.js | 174 ++++++++++ .../@stdlib/ndarray/base/any/lib/8d.js | 184 +++++++++++ .../ndarray/base/any/lib/8d_accessors.js | 191 +++++++++++ .../ndarray/base/any/lib/8d_blocked.js | 266 +++++++++++++++ .../base/any/lib/8d_blocked_accessors.js | 273 +++++++++++++++ .../base/any/lib/8d_blocked_complex.js | 266 +++++++++++++++ .../ndarray/base/any/lib/8d_complex.js | 184 +++++++++++ .../@stdlib/ndarray/base/any/lib/9d.js | 194 +++++++++++ .../ndarray/base/any/lib/9d_accessors.js | 201 +++++++++++ .../ndarray/base/any/lib/9d_blocked.js | 285 ++++++++++++++++ .../base/any/lib/9d_blocked_accessors.js | 292 ++++++++++++++++ .../base/any/lib/9d_blocked_complex.js | 285 ++++++++++++++++ .../ndarray/base/any/lib/9d_complex.js | 194 +++++++++++ 42 files changed, 8933 insertions(+) create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/10d.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/10d_accessors.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/10d_blocked.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/10d_blocked_accessors.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/10d_blocked_complex.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/10d_complex.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/4d.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/4d_accessors.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/4d_blocked.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/4d_blocked_accessors.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/4d_blocked_complex.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/4d_complex.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/5d.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/5d_accessors.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/5d_blocked.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/5d_blocked_accessors.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/5d_blocked_complex.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/5d_complex.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/6d.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/6d_accessors.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/6d_blocked.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/6d_blocked_accessors.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/6d_blocked_complex.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/6d_complex.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/7d.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/7d_accessors.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/7d_blocked.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/7d_blocked_accessors.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/7d_blocked_complex.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/7d_complex.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/8d.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/8d_accessors.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/8d_blocked.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/8d_blocked_accessors.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/8d_blocked_complex.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/8d_complex.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/9d.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/9d_accessors.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/9d_blocked.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/9d_blocked_accessors.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/9d_blocked_complex.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/lib/9d_complex.js diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/10d.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/10d.js new file mode 100644 index 000000000000..086792407ede --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/10d.js @@ -0,0 +1,204 @@ +/** +* @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 strides2order = require( '@stdlib/ndarray/base/strides2order' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 1, 1, 1, 1, 1, 1, 3, 1, 2 ]; +* +* // Define the array strides: +* var sx = [ 12, 12, 12, 12, 12, 12, 12, 4, 4, 1 ]; +* +* // Define the index offset: +* var ox = 1; +* +* // 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 = any10d( x ); +* // returns true +*/ +function any10d( x ) { // eslint-disable-line max-statements + var xbuf; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var dx6; + var dx7; + var dx8; + var dx9; + var sh; + var S0; + var S1; + var S2; + var S3; + var S4; + var S5; + var S6; + var S7; + var S8; + var S9; + var sx; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + var i6; + var i7; + var i8; + var i9; + + // Note on variable naming convention: S#, dx#, dy#, 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; + if ( strides2order( sx ) === 1 ) { + // For row-major ndarrays, the last dimensions have the fastest changing indices... + S0 = sh[ 9 ]; + S1 = sh[ 8 ]; + S2 = sh[ 7 ]; + S3 = sh[ 6 ]; + S4 = sh[ 5 ]; + S5 = sh[ 4 ]; + S6 = sh[ 3 ]; + S7 = sh[ 2 ]; + S8 = sh[ 1 ]; + S9 = sh[ 0 ]; + dx0 = sx[ 9 ]; // offset increment for innermost loop + dx1 = sx[ 8 ] - ( S0*sx[9] ); + dx2 = sx[ 7 ] - ( S1*sx[8] ); + dx3 = sx[ 6 ] - ( S2*sx[7] ); + dx4 = sx[ 5 ] - ( S3*sx[6] ); + dx5 = sx[ 4 ] - ( S4*sx[5] ); + dx6 = sx[ 3 ] - ( S5*sx[4] ); + dx7 = sx[ 2 ] - ( S6*sx[3] ); + dx8 = sx[ 1 ] - ( S7*sx[2] ); + dx9 = sx[ 0 ] - ( S8*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 ]; + S3 = sh[ 3 ]; + S4 = sh[ 4 ]; + S5 = sh[ 5 ]; + S6 = sh[ 6 ]; + S7 = sh[ 7 ]; + S8 = sh[ 8 ]; + S9 = sh[ 9 ]; + dx0 = sx[ 0 ]; // offset increment for innermost loop + dx1 = sx[ 1 ] - ( S0*sx[0] ); + dx2 = sx[ 2 ] - ( S1*sx[1] ); + dx3 = sx[ 3 ] - ( S2*sx[2] ); + dx4 = sx[ 4 ] - ( S3*sx[3] ); + dx5 = sx[ 5 ] - ( S4*sx[4] ); + dx6 = sx[ 6 ] - ( S5*sx[5] ); + dx7 = sx[ 7 ] - ( S6*sx[6] ); + dx8 = sx[ 8 ] - ( S7*sx[7] ); + dx9 = sx[ 9 ] - ( S8*sx[8] ); // offset increment for outermost loop + } + // 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 ( i9 = 0; i9 < S9; i9++ ) { + for ( i8 = 0; i8 < S8; i8++ ) { + for ( i7 = 0; i7 < S7; i7++ ) { + for ( i6 = 0; i6 < S6; i6++ ) { + for ( i5 = 0; i5 < S5; i5++ ) { + for ( i4 = 0; i4 < S4; i4++ ) { + for ( i3 = 0; i3 < S3; i3++ ) { + for ( i2 = 0; i2 < S2; i2++ ) { + for ( i1 = 0; i1 < S1; i1++ ) { + for ( i0 = 0; i0 < S0; i0++ ) { + if ( xbuf[ ix ] ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + ix += dx6; + } + ix += dx7; + } + ix += dx8; + } + ix += dx9; + } + return false; +} + + +// EXPORTS // + +module.exports = any10d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/10d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/10d_accessors.js new file mode 100644 index 000000000000..df38724ab83c --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/10d_accessors.js @@ -0,0 +1,211 @@ +/** +* @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 strides2order = require( '@stdlib/ndarray/base/strides2order' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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 +* @returns {boolean} result +* +* @example +* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +* var accessors = require( '@stdlib/array/base/accessors' ); +* +* // 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 = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 4, 4, 4, 4, 4, 4, 4, 4, 2, 1 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'generic', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major', +* 'accessors': accessors( xbuf ).accessors +* }; +* +* // Test elements: +* var out = any10d( x ); +* // returns true +*/ +function any10d( x ) { // eslint-disable-line max-statements + var xbuf; + var get; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var dx6; + var dx7; + var dx8; + var dx9; + var sh; + var S0; + var S1; + var S2; + var S3; + var S4; + var S5; + var S6; + var S7; + var S8; + var S9; + var sx; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + var i6; + var i7; + var i8; + var i9; + + // Note on variable naming convention: S#, dx#, dy#, 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; + if ( strides2order( sx ) === 1 ) { + // For row-major ndarrays, the last dimensions have the fastest changing indices... + S0 = sh[ 9 ]; + S1 = sh[ 8 ]; + S2 = sh[ 7 ]; + S3 = sh[ 6 ]; + S4 = sh[ 5 ]; + S5 = sh[ 4 ]; + S6 = sh[ 3 ]; + S7 = sh[ 2 ]; + S8 = sh[ 1 ]; + S9 = sh[ 0 ]; + dx0 = sx[ 9 ]; // offset increment for innermost loop + dx1 = sx[ 8 ] - ( S0*sx[9] ); + dx2 = sx[ 7 ] - ( S1*sx[8] ); + dx3 = sx[ 6 ] - ( S2*sx[7] ); + dx4 = sx[ 5 ] - ( S3*sx[6] ); + dx5 = sx[ 4 ] - ( S4*sx[5] ); + dx6 = sx[ 3 ] - ( S5*sx[4] ); + dx7 = sx[ 2 ] - ( S6*sx[3] ); + dx8 = sx[ 1 ] - ( S7*sx[2] ); + dx9 = sx[ 0 ] - ( S8*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 ]; + S3 = sh[ 3 ]; + S4 = sh[ 4 ]; + S5 = sh[ 5 ]; + S6 = sh[ 6 ]; + S7 = sh[ 7 ]; + S8 = sh[ 8 ]; + S9 = sh[ 9 ]; + dx0 = sx[ 0 ]; // offset increment for innermost loop + dx1 = sx[ 1 ] - ( S0*sx[0] ); + dx2 = sx[ 2 ] - ( S1*sx[1] ); + dx3 = sx[ 3 ] - ( S2*sx[2] ); + dx4 = sx[ 4 ] - ( S3*sx[3] ); + dx5 = sx[ 5 ] - ( S4*sx[4] ); + dx6 = sx[ 6 ] - ( S5*sx[5] ); + dx7 = sx[ 7 ] - ( S6*sx[6] ); + dx8 = sx[ 8 ] - ( S7*sx[7] ); + dx9 = sx[ 9 ] - ( S8*sx[8] ); // offset increment for outermost loop + } + // 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 ( i9 = 0; i9 < S9; i9++ ) { + for ( i8 = 0; i8 < S8; i8++ ) { + for ( i7 = 0; i7 < S7; i7++ ) { + for ( i6 = 0; i6 < S6; i6++ ) { + for ( i5 = 0; i5 < S5; i5++ ) { + for ( i4 = 0; i4 < S4; i4++ ) { + for ( i3 = 0; i3 < S3; i3++ ) { + for ( i2 = 0; i2 < S2; i2++ ) { + for ( i1 = 0; i1 < S1; i1++ ) { + for ( i0 = 0; i0 < S0; i0++ ) { + if ( get( xbuf, ix ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + ix += dx6; + } + ix += dx7; + } + ix += dx8; + } + ix += dx9; + } + return false; +} + + +// EXPORTS // + +module.exports = any10d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/10d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/10d_blocked.js new file mode 100644 index 000000000000..e4286b3fb236 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/10d_blocked.js @@ -0,0 +1,304 @@ +/** +* @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, max-len */ + +'use strict'; + +// MODULES // + +var loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy via loop blocking. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 1, 1, 1, 1, 1, 1, 3, 1, 2 ]; +* +* // Define the array strides: +* var sx = [ 12, 12, 12, 12, 12, 12, 12, 4, 4, 1 ]; +* +* // Define the index offset: +* var ox = 1; +* +* // 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 = blockedany10d( x ); +* // returns true +*/ +function blockedany10d( x ) { // eslint-disable-line max-statements, max-lines-per-function + var bsize; + var xbuf; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var dx6; + var dx7; + var dx8; + var dx9; + var ox1; + var ox2; + var ox3; + var ox4; + var ox5; + var ox6; + var ox7; + var ox8; + var ox9; + var sh; + var s0; + var s1; + var s2; + var s3; + var s4; + var s5; + var s6; + var s7; + var s8; + var s9; + var sx; + var ox; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + var i6; + var i7; + var i8; + var i9; + var j0; + var j1; + var j2; + var j3; + var j4; + var j5; + var j6; + var j7; + var j8; + var j9; + var o; + + // Note on variable naming convention: s#, dx#, dy#, 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; + + // 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 ( j9 = sh[9]; j9 > 0; ) { + if ( j9 < bsize ) { + s9 = j9; + j9 = 0; + } else { + s9 = bsize; + j9 -= bsize; + } + ox9 = ox + ( j9*sx[9] ); + for ( j8 = sh[8]; j8 > 0; ) { + if ( j8 < bsize ) { + s8 = j8; + j8 = 0; + } else { + s8 = bsize; + j8 -= bsize; + } + dx9 = sx[9] - ( s8*sx[8] ); + ox8 = ox9 + ( j8*sx[8] ); + for ( j7 = sh[7]; j7 > 0; ) { + if ( j7 < bsize ) { + s7 = j7; + j7 = 0; + } else { + s7 = bsize; + j7 -= bsize; + } + dx8 = sx[8] - ( s7*sx[7] ); + ox7 = ox8 + ( j7*sx[7] ); + for ( j6 = sh[6]; j6 > 0; ) { + if ( j6 < bsize ) { + s6 = j6; + j6 = 0; + } else { + s6 = bsize; + j6 -= bsize; + } + dx7 = sx[7] - ( s6*sx[6] ); + ox6 = ox7 + ( j6*sx[6] ); + for ( j5 = sh[5]; j5 > 0; ) { + if ( j5 < bsize ) { + s5 = j5; + j5 = 0; + } else { + s5 = bsize; + j5 -= bsize; + } + dx6 = sx[6] - ( s5*sx[5] ); + ox5 = ox6 + ( j5*sx[5] ); + for ( j4 = sh[4]; j4 > 0; ) { + if ( j4 < bsize ) { + s4 = j4; + j4 = 0; + } else { + s4 = bsize; + j4 -= bsize; + } + dx5 = sx[5] - ( s4*sx[4] ); + ox4 = ox5 + ( j4*sx[4] ); + for ( j3 = sh[3]; j3 > 0; ) { + if ( j3 < bsize ) { + s3 = j3; + j3 = 0; + } else { + s3 = bsize; + j3 -= bsize; + } + dx4 = sx[4] - ( s3*sx[3] ); + ox3 = ox4 + ( j3*sx[3] ); + for ( j2 = sh[2]; j2 > 0; ) { + if ( j2 < bsize ) { + s2 = j2; + j2 = 0; + } else { + s2 = bsize; + j2 -= bsize; + } + dx3 = sx[3] - ( s2*sx[2] ); + ox2 = ox3 + ( 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 ( i9 = 0; i9 < s9; i9++ ) { + for ( i8 = 0; i8 < s8; i8++ ) { + for ( i7 = 0; i7 < s7; i7++ ) { + for ( i6 = 0; i6 < s6; i6++ ) { + for ( i5 = 0; i5 < s5; i5++ ) { + for ( i4 = 0; i4 < s4; i4++ ) { + for ( i3 = 0; i3 < s3; i3++ ) { + for ( i2 = 0; i2 < s2; i2++ ) { + for ( i1 = 0; i1 < s1; i1++ ) { + for ( i0 = 0; i0 < s0; i0++ ) { + if ( xbuf[ ix ] ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + ix += dx6; + } + ix += dx7; + } + ix += dx8; + } + ix += dx9; + } + } + } + } + } + } + } + } + } + } + } + return false; +} + + +// EXPORTS // + +module.exports = blockedany10d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/10d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/10d_blocked_accessors.js new file mode 100644 index 000000000000..dc9453b9dee0 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/10d_blocked_accessors.js @@ -0,0 +1,311 @@ +/** +* @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, max-len */ + +'use strict'; + +// MODULES // + +var loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy via loop blocking. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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 +* @returns {boolean} result +* +* @example +* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +* var accessors = require( '@stdlib/array/base/accessors' ); +* +* // 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 = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 4, 4, 4, 4, 4, 4, 4, 4, 2, 1 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'generic', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major', +* 'accessors': accessors( xbuf ).accessors +* }; +* +* // Test elements: +* var out = blockedany10d( x ); +* // returns true +*/ +function blockedany10d( x ) { // eslint-disable-line max-statements, max-lines-per-function + var bsize; + var xbuf; + var get; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var dx6; + var dx7; + var dx8; + var dx9; + var ox1; + var ox2; + var ox3; + var ox4; + var ox5; + var ox6; + var ox7; + var ox8; + var ox9; + var sh; + var s0; + var s1; + var s2; + var s3; + var s4; + var s5; + var s6; + var s7; + var s8; + var s9; + var sx; + var ox; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + var i6; + var i7; + var i8; + var i9; + var j0; + var j1; + var j2; + var j3; + var j4; + var j5; + var j6; + var j7; + var j8; + var j9; + var o; + + // Note on variable naming convention: s#, dx#, dy#, 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; + + // 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 ( j9 = sh[9]; j9 > 0; ) { + if ( j9 < bsize ) { + s9 = j9; + j9 = 0; + } else { + s9 = bsize; + j9 -= bsize; + } + ox9 = ox + ( j9*sx[9] ); + for ( j8 = sh[8]; j8 > 0; ) { + if ( j8 < bsize ) { + s8 = j8; + j8 = 0; + } else { + s8 = bsize; + j8 -= bsize; + } + dx9 = sx[9] - ( s8*sx[8] ); + ox8 = ox9 + ( j8*sx[8] ); + for ( j7 = sh[7]; j7 > 0; ) { + if ( j7 < bsize ) { + s7 = j7; + j7 = 0; + } else { + s7 = bsize; + j7 -= bsize; + } + dx8 = sx[8] - ( s7*sx[7] ); + ox7 = ox8 + ( j7*sx[7] ); + for ( j6 = sh[6]; j6 > 0; ) { + if ( j6 < bsize ) { + s6 = j6; + j6 = 0; + } else { + s6 = bsize; + j6 -= bsize; + } + dx7 = sx[7] - ( s6*sx[6] ); + ox6 = ox7 + ( j6*sx[6] ); + for ( j5 = sh[5]; j5 > 0; ) { + if ( j5 < bsize ) { + s5 = j5; + j5 = 0; + } else { + s5 = bsize; + j5 -= bsize; + } + dx6 = sx[6] - ( s5*sx[5] ); + ox5 = ox6 + ( j5*sx[5] ); + for ( j4 = sh[4]; j4 > 0; ) { + if ( j4 < bsize ) { + s4 = j4; + j4 = 0; + } else { + s4 = bsize; + j4 -= bsize; + } + dx5 = sx[5] - ( s4*sx[4] ); + ox4 = ox5 + ( j4*sx[4] ); + for ( j3 = sh[3]; j3 > 0; ) { + if ( j3 < bsize ) { + s3 = j3; + j3 = 0; + } else { + s3 = bsize; + j3 -= bsize; + } + dx4 = sx[4] - ( s3*sx[3] ); + ox3 = ox4 + ( j3*sx[3] ); + for ( j2 = sh[2]; j2 > 0; ) { + if ( j2 < bsize ) { + s2 = j2; + j2 = 0; + } else { + s2 = bsize; + j2 -= bsize; + } + dx3 = sx[3] - ( s2*sx[2] ); + ox2 = ox3 + ( 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 ( i9 = 0; i9 < s9; i9++ ) { + for ( i8 = 0; i8 < s8; i8++ ) { + for ( i7 = 0; i7 < s7; i7++ ) { + for ( i6 = 0; i6 < s6; i6++ ) { + for ( i5 = 0; i5 < s5; i5++ ) { + for ( i4 = 0; i4 < s4; i4++ ) { + for ( i3 = 0; i3 < s3; i3++ ) { + for ( i2 = 0; i2 < s2; i2++ ) { + for ( i1 = 0; i1 < s1; i1++ ) { + for ( i0 = 0; i0 < s0; i0++ ) { + if ( get( xbuf, ix ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + ix += dx6; + } + ix += dx7; + } + ix += dx8; + } + ix += dx9; + } + } + } + } + } + } + } + } + } + } + } + return false; +} + + +// EXPORTS // + +module.exports = blockedany10d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/10d_blocked_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/10d_blocked_complex.js new file mode 100644 index 000000000000..c42994267eb1 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/10d_blocked_complex.js @@ -0,0 +1,304 @@ +/** +* @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, max-len */ + +'use strict'; + +// MODULES // + +var loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); + + +// MAIN // + +/** +* Tests whether at least one element of a reinterpreted complex number ndarray is truthy via loop blocking. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 8, 8, 8, 8, 8, 8, 8, 8, 4, 2 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'complex128', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = blockedany10d( x ); +* // returns true +*/ +function blockedany10d( x ) { // eslint-disable-line max-statements, max-lines-per-function + var bsize; + var xbuf; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var dx6; + var dx7; + var dx8; + var dx9; + var ox1; + var ox2; + var ox3; + var ox4; + var ox5; + var ox6; + var ox7; + var ox8; + var ox9; + var sh; + var s0; + var s1; + var s2; + var s3; + var s4; + var s5; + var s6; + var s7; + var s8; + var s9; + var sx; + var ox; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + var i6; + var i7; + var i8; + var i9; + var j0; + var j1; + var j2; + var j3; + var j4; + var j5; + var j6; + var j7; + var j8; + var j9; + var o; + + // Note on variable naming convention: s#, dx#, dy#, 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; + + // 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 ( j9 = sh[9]; j9 > 0; ) { + if ( j9 < bsize ) { + s9 = j9; + j9 = 0; + } else { + s9 = bsize; + j9 -= bsize; + } + ox9 = ox + ( j9*sx[9] ); + for ( j8 = sh[8]; j8 > 0; ) { + if ( j8 < bsize ) { + s8 = j8; + j8 = 0; + } else { + s8 = bsize; + j8 -= bsize; + } + dx9 = sx[9] - ( s8*sx[8] ); + ox8 = ox9 + ( j8*sx[8] ); + for ( j7 = sh[7]; j7 > 0; ) { + if ( j7 < bsize ) { + s7 = j7; + j7 = 0; + } else { + s7 = bsize; + j7 -= bsize; + } + dx8 = sx[8] - ( s7*sx[7] ); + ox7 = ox8 + ( j7*sx[7] ); + for ( j6 = sh[6]; j6 > 0; ) { + if ( j6 < bsize ) { + s6 = j6; + j6 = 0; + } else { + s6 = bsize; + j6 -= bsize; + } + dx7 = sx[7] - ( s6*sx[6] ); + ox6 = ox7 + ( j6*sx[6] ); + for ( j5 = sh[5]; j5 > 0; ) { + if ( j5 < bsize ) { + s5 = j5; + j5 = 0; + } else { + s5 = bsize; + j5 -= bsize; + } + dx6 = sx[6] - ( s5*sx[5] ); + ox5 = ox6 + ( j5*sx[5] ); + for ( j4 = sh[4]; j4 > 0; ) { + if ( j4 < bsize ) { + s4 = j4; + j4 = 0; + } else { + s4 = bsize; + j4 -= bsize; + } + dx5 = sx[5] - ( s4*sx[4] ); + ox4 = ox5 + ( j4*sx[4] ); + for ( j3 = sh[3]; j3 > 0; ) { + if ( j3 < bsize ) { + s3 = j3; + j3 = 0; + } else { + s3 = bsize; + j3 -= bsize; + } + dx4 = sx[4] - ( s3*sx[3] ); + ox3 = ox4 + ( j3*sx[3] ); + for ( j2 = sh[2]; j2 > 0; ) { + if ( j2 < bsize ) { + s2 = j2; + j2 = 0; + } else { + s2 = bsize; + j2 -= bsize; + } + dx3 = sx[3] - ( s2*sx[2] ); + ox2 = ox3 + ( 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 ( i9 = 0; i9 < s9; i9++ ) { + for ( i8 = 0; i8 < s8; i8++ ) { + for ( i7 = 0; i7 < s7; i7++ ) { + for ( i6 = 0; i6 < s6; i6++ ) { + for ( i5 = 0; i5 < s5; i5++ ) { + for ( i4 = 0; i4 < s4; i4++ ) { + for ( i3 = 0; i3 < s3; i3++ ) { + for ( i2 = 0; i2 < s2; i2++ ) { + for ( i1 = 0; i1 < s1; i1++ ) { + for ( i0 = 0; i0 < s0; i0++ ) { + if ( ( xbuf[ ix ] || xbuf[ ix+1 ] ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + ix += dx6; + } + ix += dx7; + } + ix += dx8; + } + ix += dx9; + } + } + } + } + } + } + } + } + } + } + } + return false; +} + + +// EXPORTS // + +module.exports = blockedany10d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/10d_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/10d_complex.js new file mode 100644 index 000000000000..23d2ef3d538f --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/10d_complex.js @@ -0,0 +1,204 @@ +/** +* @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, max-len */ + +'use strict'; + +// MODULES // + +var strides2order = require( '@stdlib/ndarray/base/strides2order' ); + + +// MAIN // + +/** +* Tests whether at least one element of a reinterpreted complex number ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 8, 8, 8, 8, 8, 8, 8, 8, 4, 2 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'complex128', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = any10d( x ); +* // returns true +*/ +function any10d( x ) { // eslint-disable-line max-statements + var xbuf; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var dx6; + var dx7; + var dx8; + var dx9; + var sh; + var S0; + var S1; + var S2; + var S3; + var S4; + var S5; + var S6; + var S7; + var S8; + var S9; + var sx; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + var i6; + var i7; + var i8; + var i9; + + // Note on variable naming convention: S#, dx#, dy#, 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; + if ( strides2order( sx ) === 1 ) { + // For row-major ndarrays, the last dimensions have the fastest changing indices... + S0 = sh[ 9 ]; + S1 = sh[ 8 ]; + S2 = sh[ 7 ]; + S3 = sh[ 6 ]; + S4 = sh[ 5 ]; + S5 = sh[ 4 ]; + S6 = sh[ 3 ]; + S7 = sh[ 2 ]; + S8 = sh[ 1 ]; + S9 = sh[ 0 ]; + dx0 = sx[ 9 ]; // offset increment for innermost loop + dx1 = sx[ 8 ] - ( S0*sx[9] ); + dx2 = sx[ 7 ] - ( S1*sx[8] ); + dx3 = sx[ 6 ] - ( S2*sx[7] ); + dx4 = sx[ 5 ] - ( S3*sx[6] ); + dx5 = sx[ 4 ] - ( S4*sx[5] ); + dx6 = sx[ 3 ] - ( S5*sx[4] ); + dx7 = sx[ 2 ] - ( S6*sx[3] ); + dx8 = sx[ 1 ] - ( S7*sx[2] ); + dx9 = sx[ 0 ] - ( S8*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 ]; + S3 = sh[ 3 ]; + S4 = sh[ 4 ]; + S5 = sh[ 5 ]; + S6 = sh[ 6 ]; + S7 = sh[ 7 ]; + S8 = sh[ 8 ]; + S9 = sh[ 9 ]; + dx0 = sx[ 0 ]; // offset increment for innermost loop + dx1 = sx[ 1 ] - ( S0*sx[0] ); + dx2 = sx[ 2 ] - ( S1*sx[1] ); + dx3 = sx[ 3 ] - ( S2*sx[2] ); + dx4 = sx[ 4 ] - ( S3*sx[3] ); + dx5 = sx[ 5 ] - ( S4*sx[4] ); + dx6 = sx[ 6 ] - ( S5*sx[5] ); + dx7 = sx[ 7 ] - ( S6*sx[6] ); + dx8 = sx[ 8 ] - ( S7*sx[7] ); + dx9 = sx[ 9 ] - ( S8*sx[8] ); // offset increment for outermost loop + } + // 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 ( i9 = 0; i9 < S9; i9++ ) { + for ( i8 = 0; i8 < S8; i8++ ) { + for ( i7 = 0; i7 < S7; i7++ ) { + for ( i6 = 0; i6 < S6; i6++ ) { + for ( i5 = 0; i5 < S5; i5++ ) { + for ( i4 = 0; i4 < S4; i4++ ) { + for ( i3 = 0; i3 < S3; i3++ ) { + for ( i2 = 0; i2 < S2; i2++ ) { + for ( i1 = 0; i1 < S1; i1++ ) { + for ( i0 = 0; i0 < S0; i0++ ) { + if ( ( xbuf[ ix ] || xbuf[ ix+1 ] ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + ix += dx6; + } + ix += dx7; + } + ix += dx8; + } + ix += dx9; + } + return false; +} + + +// EXPORTS // + +module.exports = any10d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/4d.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/4d.js new file mode 100644 index 000000000000..765fc98a39c2 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/4d.js @@ -0,0 +1,142 @@ +/** +* @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' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 3, 1, 2 ]; +* +* // Define the array strides: +* var sx = [ 12, 4, 4, 1 ]; +* +* // Define the index offset: +* var ox = 1; +* +* // 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 = any4d( x ); +* // returns true +*/ +function any4d( x ) { + var xbuf; + var dx0; + var dx1; + var dx2; + var dx3; + var sh; + var S0; + var S1; + var S2; + var S3; + var sx; + var ix; + var i0; + var i1; + var i2; + var i3; + + // Note on variable naming convention: S#, dx#, dy#, 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; + if ( strides2order( sx ) === 1 ) { + // For row-major ndarrays, the last dimensions have the fastest changing indices... + S0 = sh[ 3 ]; + S1 = sh[ 2 ]; + S2 = sh[ 1 ]; + S3 = sh[ 0 ]; + dx0 = sx[ 3 ]; // offset increment for innermost loop + dx1 = sx[ 2 ] - ( S0*sx[3] ); + dx2 = sx[ 1 ] - ( S1*sx[2] ); + dx3 = sx[ 0 ] - ( S2*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 ]; + S3 = sh[ 3 ]; + dx0 = sx[ 0 ]; // offset increment for innermost loop + dx1 = sx[ 1 ] - ( S0*sx[0] ); + dx2 = sx[ 2 ] - ( S1*sx[1] ); + dx3 = sx[ 3 ] - ( S2*sx[2] ); // offset increment for outermost loop + } + // 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 ( i3 = 0; i3 < S3; i3++ ) { + for ( i2 = 0; i2 < S2; i2++ ) { + for ( i1 = 0; i1 < S1; i1++ ) { + for ( i0 = 0; i0 < S0; i0++ ) { + if ( xbuf[ ix ] ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + return false; +} + + +// EXPORTS // + +module.exports = any4d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/4d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/4d_accessors.js new file mode 100644 index 000000000000..b61831b2ef80 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/4d_accessors.js @@ -0,0 +1,149 @@ +/** +* @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' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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 +* @returns {boolean} result +* +* @example +* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +* var accessors = require( '@stdlib/array/base/accessors' ); +* +* // 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 = [ 1, 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 4, 4, 2, 1 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'generic', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major', +* 'accessors': accessors( xbuf ).accessors +* }; +* +* // Test elements: +* var out = any4d( x ); +* // returns true +*/ +function any4d( x ) { + var xbuf; + var get; + var dx0; + var dx1; + var dx2; + var dx3; + var sh; + var S0; + var S1; + var S2; + var S3; + var sx; + var ix; + var i0; + var i1; + var i2; + var i3; + + // Note on variable naming convention: S#, dx#, dy#, 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; + if ( strides2order( sx ) === 1 ) { + // For row-major ndarrays, the last dimensions have the fastest changing indices... + S0 = sh[ 3 ]; + S1 = sh[ 2 ]; + S2 = sh[ 1 ]; + S3 = sh[ 0 ]; + dx0 = sx[ 3 ]; // offset increment for innermost loop + dx1 = sx[ 2 ] - ( S0*sx[3] ); + dx2 = sx[ 1 ] - ( S1*sx[2] ); + dx3 = sx[ 0 ] - ( S2*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 ]; + S3 = sh[ 3 ]; + dx0 = sx[ 0 ]; // offset increment for innermost loop + dx1 = sx[ 1 ] - ( S0*sx[0] ); + dx2 = sx[ 2 ] - ( S1*sx[1] ); + dx3 = sx[ 3 ] - ( S2*sx[2] ); // offset increment for outermost loop + } + // 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 ( i3 = 0; i3 < S3; i3++ ) { + for ( i2 = 0; i2 < S2; i2++ ) { + for ( i1 = 0; i1 < S1; i1++ ) { + for ( i0 = 0; i0 < S0; i0++ ) { + if ( get( xbuf, ix ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + return false; +} + + +// EXPORTS // + +module.exports = any4d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/4d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/4d_blocked.js new file mode 100644 index 000000000000..9694e4ac83ca --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/4d_blocked.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' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy via loop blocking. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 3, 1, 2 ]; +* +* // Define the array strides: +* var sx = [ 12, 4, 4, 1 ]; +* +* // Define the index offset: +* var ox = 1; +* +* // 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 = blockedany4d( x ); +* // returns true +*/ +function blockedany4d( x ) { + var bsize; + var xbuf; + var dx0; + var dx1; + var dx2; + var dx3; + var ox1; + var ox2; + var ox3; + var sh; + var s0; + var s1; + var s2; + var s3; + var sx; + var ox; + var ix; + var i0; + var i1; + var i2; + var i3; + var j0; + var j1; + var j2; + var j3; + var o; + + // Note on variable naming convention: s#, dx#, dy#, 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; + + // 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 ( j3 = sh[3]; j3 > 0; ) { + if ( j3 < bsize ) { + s3 = j3; + j3 = 0; + } else { + s3 = bsize; + j3 -= bsize; + } + ox3 = ox + ( j3*sx[3] ); + for ( j2 = sh[2]; j2 > 0; ) { + if ( j2 < bsize ) { + s2 = j2; + j2 = 0; + } else { + s2 = bsize; + j2 -= bsize; + } + dx3 = sx[3] - ( s2*sx[2] ); + ox2 = ox3 + ( 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 ( i3 = 0; i3 < s3; i3++ ) { + for ( i2 = 0; i2 < s2; i2++ ) { + for ( i1 = 0; i1 < s1; i1++ ) { + for ( i0 = 0; i0 < s0; i0++ ) { + if ( xbuf[ ix ] ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + } + } + } + } + return false; +} + + +// EXPORTS // + +module.exports = blockedany4d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/4d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/4d_blocked_accessors.js new file mode 100644 index 000000000000..304ddb30ee6d --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/4d_blocked_accessors.js @@ -0,0 +1,197 @@ +/** +* @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' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy via loop blocking. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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 +* @returns {boolean} result +* +* @example +* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +* var accessors = require( '@stdlib/array/base/accessors' ); +* +* // 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 = [ 1, 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 4, 4, 2, 1 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'generic', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major', +* 'accessors': accessors( xbuf ).accessors +* }; +* +* // Test elements: +* var out = blockedany4d( x ); +* // returns true +*/ +function blockedany4d( x ) { + var bsize; + var xbuf; + var get; + var dx0; + var dx1; + var dx2; + var dx3; + var ox1; + var ox2; + var ox3; + var sh; + var s0; + var s1; + var s2; + var s3; + var sx; + var ox; + var ix; + var i0; + var i1; + var i2; + var i3; + var j0; + var j1; + var j2; + var j3; + var o; + + // Note on variable naming convention: s#, dx#, dy#, 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; + + // 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 ( j3 = sh[3]; j3 > 0; ) { + if ( j3 < bsize ) { + s3 = j3; + j3 = 0; + } else { + s3 = bsize; + j3 -= bsize; + } + ox3 = ox + ( j3*sx[3] ); + for ( j2 = sh[2]; j2 > 0; ) { + if ( j2 < bsize ) { + s2 = j2; + j2 = 0; + } else { + s2 = bsize; + j2 -= bsize; + } + dx3 = sx[3] - ( s2*sx[2] ); + ox2 = ox3 + ( 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 ( i3 = 0; i3 < s3; i3++ ) { + for ( i2 = 0; i2 < s2; i2++ ) { + for ( i1 = 0; i1 < s1; i1++ ) { + for ( i0 = 0; i0 < s0; i0++ ) { + if ( get( xbuf, ix ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + } + } + } + } + return false; +} + + +// EXPORTS // + +module.exports = blockedany4d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/4d_blocked_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/4d_blocked_complex.js new file mode 100644 index 000000000000..ef826a8a2d46 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/4d_blocked_complex.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' ); + + +// MAIN // + +/** +* Tests whether at least one element of a reinterpreted complex number ndarray is truthy via loop blocking. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 8, 8, 4, 2 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'complex128', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = blockedany4d( x ); +* // returns true +*/ +function blockedany4d( x ) { + var bsize; + var xbuf; + var dx0; + var dx1; + var dx2; + var dx3; + var ox1; + var ox2; + var ox3; + var sh; + var s0; + var s1; + var s2; + var s3; + var sx; + var ox; + var ix; + var i0; + var i1; + var i2; + var i3; + var j0; + var j1; + var j2; + var j3; + var o; + + // Note on variable naming convention: s#, dx#, dy#, 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; + + // 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 ( j3 = sh[3]; j3 > 0; ) { + if ( j3 < bsize ) { + s3 = j3; + j3 = 0; + } else { + s3 = bsize; + j3 -= bsize; + } + ox3 = ox + ( j3*sx[3] ); + for ( j2 = sh[2]; j2 > 0; ) { + if ( j2 < bsize ) { + s2 = j2; + j2 = 0; + } else { + s2 = bsize; + j2 -= bsize; + } + dx3 = sx[3] - ( s2*sx[2] ); + ox2 = ox3 + ( 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 ( i3 = 0; i3 < s3; i3++ ) { + for ( i2 = 0; i2 < s2; i2++ ) { + for ( i1 = 0; i1 < s1; i1++ ) { + for ( i0 = 0; i0 < s0; i0++ ) { + if ( ( xbuf[ ix ] || xbuf[ ix+1 ] ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + } + } + } + } + return false; +} + + +// EXPORTS // + +module.exports = blockedany4d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/4d_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/4d_complex.js new file mode 100644 index 000000000000..c83f6007fed9 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/4d_complex.js @@ -0,0 +1,142 @@ +/** +* @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' ); + + +// MAIN // + +/** +* Tests whether at least one element of a reinterpreted complex number ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 8, 8, 4, 2 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'complex128', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = any4d( x ); +* // returns true +*/ +function any4d( x ) { + var xbuf; + var dx0; + var dx1; + var dx2; + var dx3; + var sh; + var S0; + var S1; + var S2; + var S3; + var sx; + var ix; + var i0; + var i1; + var i2; + var i3; + + // Note on variable naming convention: S#, dx#, dy#, 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; + if ( strides2order( sx ) === 1 ) { + // For row-major ndarrays, the last dimensions have the fastest changing indices... + S0 = sh[ 3 ]; + S1 = sh[ 2 ]; + S2 = sh[ 1 ]; + S3 = sh[ 0 ]; + dx0 = sx[ 3 ]; // offset increment for innermost loop + dx1 = sx[ 2 ] - ( S0*sx[3] ); + dx2 = sx[ 1 ] - ( S1*sx[2] ); + dx3 = sx[ 0 ] - ( S2*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 ]; + S3 = sh[ 3 ]; + dx0 = sx[ 0 ]; // offset increment for innermost loop + dx1 = sx[ 1 ] - ( S0*sx[0] ); + dx2 = sx[ 2 ] - ( S1*sx[1] ); + dx3 = sx[ 3 ] - ( S2*sx[2] ); // offset increment for outermost loop + } + // 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 ( i3 = 0; i3 < S3; i3++ ) { + for ( i2 = 0; i2 < S2; i2++ ) { + for ( i1 = 0; i1 < S1; i1++ ) { + for ( i0 = 0; i0 < S0; i0++ ) { + if ( ( xbuf[ ix ] || xbuf[ ix+1 ] ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + return false; +} + + +// EXPORTS // + +module.exports = any4d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/5d.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/5d.js new file mode 100644 index 000000000000..8b5ba1c67488 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/5d.js @@ -0,0 +1,154 @@ +/** +* @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 strides2order = require( '@stdlib/ndarray/base/strides2order' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 1, 3, 1, 2 ]; +* +* // Define the array strides: +* var sx = [ 12, 12, 4, 4, 1 ]; +* +* // Define the index offset: +* var ox = 1; +* +* // 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 = every5d( x ); +* // returns true +*/ +function every5d( x ) { + var xbuf; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var sh; + var S0; + var S1; + var S2; + var S3; + var S4; + var sx; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + + // Note on variable naming convention: S#, dx#, dy#, 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; + if ( strides2order( sx ) === 1 ) { + // For row-major ndarrays, the last dimensions have the fastest changing indices... + S0 = sh[ 4 ]; + S1 = sh[ 3 ]; + S2 = sh[ 2 ]; + S3 = sh[ 1 ]; + S4 = sh[ 0 ]; + dx0 = sx[ 4 ]; // offset increment for innermost loop + dx1 = sx[ 3 ] - ( S0*sx[4] ); + dx2 = sx[ 2 ] - ( S1*sx[3] ); + dx3 = sx[ 1 ] - ( S2*sx[2] ); + dx4 = sx[ 0 ] - ( S3*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 ]; + S3 = sh[ 3 ]; + S4 = sh[ 4 ]; + dx0 = sx[ 0 ]; // offset increment for innermost loop + dx1 = sx[ 1 ] - ( S0*sx[0] ); + dx2 = sx[ 2 ] - ( S1*sx[1] ); + dx3 = sx[ 3 ] - ( S2*sx[2] ); + dx4 = sx[ 4 ] - ( S3*sx[3] ); // offset increment for outermost loop + } + // 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 ( i4 = 0; i4 < S4; i4++ ) { + for ( i3 = 0; i3 < S3; i3++ ) { + for ( i2 = 0; i2 < S2; i2++ ) { + for ( i1 = 0; i1 < S1; i1++ ) { + for ( i0 = 0; i0 < S0; i0++ ) { + if ( !xbuf[ ix ] ) { + return false; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + return true; +} + + +// EXPORTS // + +module.exports = every5d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/5d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/5d_accessors.js new file mode 100644 index 000000000000..00066fb7bc3f --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/5d_accessors.js @@ -0,0 +1,161 @@ +/** +* @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 strides2order = require( '@stdlib/ndarray/base/strides2order' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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 +* @returns {boolean} result +* +* @example +* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +* var accessors = require( '@stdlib/array/base/accessors' ); +* +* // 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 = [ 1, 1, 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 4, 4, 4, 2, 1 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'generic', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major', +* 'accessors': accessors( xbuf ).accessors +* }; +* +* // Test elements: +* var out = any5d( x ); +* // returns true +*/ +function any5d( x ) { + var xbuf; + var get; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var sh; + var S0; + var S1; + var S2; + var S3; + var S4; + var sx; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + + // Note on variable naming convention: S#, dx#, dy#, 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; + if ( strides2order( sx ) === 1 ) { + // For row-major ndarrays, the last dimensions have the fastest changing indices... + S0 = sh[ 4 ]; + S1 = sh[ 3 ]; + S2 = sh[ 2 ]; + S3 = sh[ 1 ]; + S4 = sh[ 0 ]; + dx0 = sx[ 4 ]; // offset increment for innermost loop + dx1 = sx[ 3 ] - ( S0*sx[4] ); + dx2 = sx[ 2 ] - ( S1*sx[3] ); + dx3 = sx[ 1 ] - ( S2*sx[2] ); + dx4 = sx[ 0 ] - ( S3*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 ]; + S3 = sh[ 3 ]; + S4 = sh[ 4 ]; + dx0 = sx[ 0 ]; // offset increment for innermost loop + dx1 = sx[ 1 ] - ( S0*sx[0] ); + dx2 = sx[ 2 ] - ( S1*sx[1] ); + dx3 = sx[ 3 ] - ( S2*sx[2] ); + dx4 = sx[ 4 ] - ( S3*sx[3] ); // offset increment for outermost loop + } + // 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 ( i4 = 0; i4 < S4; i4++ ) { + for ( i3 = 0; i3 < S3; i3++ ) { + for ( i2 = 0; i2 < S2; i2++ ) { + for ( i1 = 0; i1 < S1; i1++ ) { + for ( i0 = 0; i0 < S0; i0++ ) { + if ( get( xbuf, ix ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + return false; +} + + +// EXPORTS // + +module.exports = any5d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/5d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/5d_blocked.js new file mode 100644 index 000000000000..1dac83275cc9 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/5d_blocked.js @@ -0,0 +1,209 @@ +/** +* @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' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy via loop blocking. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 1, 3, 1, 2 ]; +* +* // Define the array strides: +* var sx = [ 12, 12, 4, 4, 1 ]; +* +* // Define the index offset: +* var ox = 1; +* +* // 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 = blockedany5d( x ); +* // returns true +*/ +function blockedany5d( x ) { + var bsize; + var xbuf; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var ox1; + var ox2; + var ox3; + var ox4; + var sh; + var s0; + var s1; + var s2; + var s3; + var s4; + var sx; + var ox; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var j0; + var j1; + var j2; + var j3; + var j4; + var o; + + // Note on variable naming convention: s#, dx#, dy#, 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; + + // 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 ( j4 = sh[4]; j4 > 0; ) { + if ( j4 < bsize ) { + s4 = j4; + j4 = 0; + } else { + s4 = bsize; + j4 -= bsize; + } + ox4 = ox + ( j4*sx[4] ); + for ( j3 = sh[3]; j3 > 0; ) { + if ( j3 < bsize ) { + s3 = j3; + j3 = 0; + } else { + s3 = bsize; + j3 -= bsize; + } + dx4 = sx[4] - ( s3*sx[3] ); + ox3 = ox4 + ( j3*sx[3] ); + for ( j2 = sh[2]; j2 > 0; ) { + if ( j2 < bsize ) { + s2 = j2; + j2 = 0; + } else { + s2 = bsize; + j2 -= bsize; + } + dx3 = sx[3] - ( s2*sx[2] ); + ox2 = ox3 + ( 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 ( i4 = 0; i4 < s4; i4++ ) { + for ( i3 = 0; i3 < s3; i3++ ) { + for ( i2 = 0; i2 < s2; i2++ ) { + for ( i1 = 0; i1 < s1; i1++ ) { + for ( i0 = 0; i0 < s0; i0++ ) { + if ( xbuf[ ix ] ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + } + } + } + } + } + return false; +} + + +// EXPORTS // + +module.exports = blockedany5d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/5d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/5d_blocked_accessors.js new file mode 100644 index 000000000000..84fa13e65068 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/5d_blocked_accessors.js @@ -0,0 +1,216 @@ +/** +* @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' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy via loop blocking. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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 +* @returns {boolean} result +* +* @example +* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +* var accessors = require( '@stdlib/array/base/accessors' ); +* +* // 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 = [ 1, 1, 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 4, 4, 4, 2, 1 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'generic', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major', +* 'accessors': accessors( xbuf ).accessors +* }; +* +* // Test elements: +* var out = blockedany5d( x ); +* // returns true +*/ +function blockedany5d( x ) { + var bsize; + var xbuf; + var get; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var ox1; + var ox2; + var ox3; + var ox4; + var sh; + var s0; + var s1; + var s2; + var s3; + var s4; + var sx; + var ox; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var j0; + var j1; + var j2; + var j3; + var j4; + var o; + + // Note on variable naming convention: s#, dx#, dy#, 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; + + // 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 ( j4 = sh[4]; j4 > 0; ) { + if ( j4 < bsize ) { + s4 = j4; + j4 = 0; + } else { + s4 = bsize; + j4 -= bsize; + } + ox4 = ox + ( j4*sx[4] ); + for ( j3 = sh[3]; j3 > 0; ) { + if ( j3 < bsize ) { + s3 = j3; + j3 = 0; + } else { + s3 = bsize; + j3 -= bsize; + } + dx4 = sx[4] - ( s3*sx[3] ); + ox3 = ox4 + ( j3*sx[3] ); + for ( j2 = sh[2]; j2 > 0; ) { + if ( j2 < bsize ) { + s2 = j2; + j2 = 0; + } else { + s2 = bsize; + j2 -= bsize; + } + dx3 = sx[3] - ( s2*sx[2] ); + ox2 = ox3 + ( 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 ( i4 = 0; i4 < s4; i4++ ) { + for ( i3 = 0; i3 < s3; i3++ ) { + for ( i2 = 0; i2 < s2; i2++ ) { + for ( i1 = 0; i1 < s1; i1++ ) { + for ( i0 = 0; i0 < s0; i0++ ) { + if ( get( xbuf, ix ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + } + } + } + } + } + return false; +} + + +// EXPORTS // + +module.exports = blockedany5d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/5d_blocked_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/5d_blocked_complex.js new file mode 100644 index 000000000000..5b090353cd21 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/5d_blocked_complex.js @@ -0,0 +1,209 @@ +/** +* @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, max-len */ + +'use strict'; + +// MODULES // + +var loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); + + +// MAIN // + +/** +* Tests whether at least one element of a reinterpreted complex number ndarray is truthy via loop blocking. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 1, 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 8, 8, 8, 4, 2 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'complex128', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = blockedany5d( x ); +* // returns true +*/ +function blockedany5d( x ) { + var bsize; + var xbuf; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var ox1; + var ox2; + var ox3; + var ox4; + var sh; + var s0; + var s1; + var s2; + var s3; + var s4; + var sx; + var ox; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var j0; + var j1; + var j2; + var j3; + var j4; + var o; + + // Note on variable naming convention: s#, dx#, dy#, 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; + + // 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 ( j4 = sh[4]; j4 > 0; ) { + if ( j4 < bsize ) { + s4 = j4; + j4 = 0; + } else { + s4 = bsize; + j4 -= bsize; + } + ox4 = ox + ( j4*sx[4] ); + for ( j3 = sh[3]; j3 > 0; ) { + if ( j3 < bsize ) { + s3 = j3; + j3 = 0; + } else { + s3 = bsize; + j3 -= bsize; + } + dx4 = sx[4] - ( s3*sx[3] ); + ox3 = ox4 + ( j3*sx[3] ); + for ( j2 = sh[2]; j2 > 0; ) { + if ( j2 < bsize ) { + s2 = j2; + j2 = 0; + } else { + s2 = bsize; + j2 -= bsize; + } + dx3 = sx[3] - ( s2*sx[2] ); + ox2 = ox3 + ( 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 ( i4 = 0; i4 < s4; i4++ ) { + for ( i3 = 0; i3 < s3; i3++ ) { + for ( i2 = 0; i2 < s2; i2++ ) { + for ( i1 = 0; i1 < s1; i1++ ) { + for ( i0 = 0; i0 < s0; i0++ ) { + if ( ( xbuf[ ix ] || xbuf[ ix+1 ] ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + } + } + } + } + } + return false; +} + + +// EXPORTS // + +module.exports = blockedany5d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/5d_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/5d_complex.js new file mode 100644 index 000000000000..4f227452cacf --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/5d_complex.js @@ -0,0 +1,154 @@ +/** +* @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 strides2order = require( '@stdlib/ndarray/base/strides2order' ); + + +// MAIN // + +/** +* Tests whether at least one element of a reinterpreted complex number ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 1, 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 8, 8, 8, 4, 2 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'complex128', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = any5d( x ); +* // returns true +*/ +function any5d( x ) { + var xbuf; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var sh; + var S0; + var S1; + var S2; + var S3; + var S4; + var sx; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + + // Note on variable naming convention: S#, dx#, dy#, 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; + if ( strides2order( sx ) === 1 ) { + // For row-major ndarrays, the last dimensions have the fastest changing indices... + S0 = sh[ 4 ]; + S1 = sh[ 3 ]; + S2 = sh[ 2 ]; + S3 = sh[ 1 ]; + S4 = sh[ 0 ]; + dx0 = sx[ 4 ]; // offset increment for innermost loop + dx1 = sx[ 3 ] - ( S0*sx[4] ); + dx2 = sx[ 2 ] - ( S1*sx[3] ); + dx3 = sx[ 1 ] - ( S2*sx[2] ); + dx4 = sx[ 0 ] - ( S3*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 ]; + S3 = sh[ 3 ]; + S4 = sh[ 4 ]; + dx0 = sx[ 0 ]; // offset increment for innermost loop + dx1 = sx[ 1 ] - ( S0*sx[0] ); + dx2 = sx[ 2 ] - ( S1*sx[1] ); + dx3 = sx[ 3 ] - ( S2*sx[2] ); + dx4 = sx[ 4 ] - ( S3*sx[3] ); // offset increment for outermost loop + } + // 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 ( i4 = 0; i4 < S4; i4++ ) { + for ( i3 = 0; i3 < S3; i3++ ) { + for ( i2 = 0; i2 < S2; i2++ ) { + for ( i1 = 0; i1 < S1; i1++ ) { + for ( i0 = 0; i0 < S0; i0++ ) { + if ( ( xbuf[ ix ] || xbuf[ ix+1 ] ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + return false; +} + + +// EXPORTS // + +module.exports = any5d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/6d.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/6d.js new file mode 100644 index 000000000000..ffefb3869341 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/6d.js @@ -0,0 +1,164 @@ +/** +* @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 strides2order = require( '@stdlib/ndarray/base/strides2order' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 1, 1, 3, 1, 2 ]; +* +* // Define the array strides: +* var sx = [ 12, 12, 12, 4, 4, 1 ]; +* +* // Define the index offset: +* var ox = 1; +* +* // 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 = any6d( x ); +* // returns true +*/ +function any6d( x ) { + var xbuf; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var sh; + var S0; + var S1; + var S2; + var S3; + var S4; + var S5; + var sx; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + + // Note on variable naming convention: S#, dx#, dy#, 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; + if ( strides2order( sx ) === 1 ) { + // For row-major ndarrays, the last dimensions have the fastest changing indices... + S0 = sh[ 5 ]; + S1 = sh[ 4 ]; + S2 = sh[ 3 ]; + S3 = sh[ 2 ]; + S4 = sh[ 1 ]; + S5 = sh[ 0 ]; + dx0 = sx[ 5 ]; // offset increment for innermost loop + dx1 = sx[ 4 ] - ( S0*sx[5] ); + dx2 = sx[ 3 ] - ( S1*sx[4] ); + dx3 = sx[ 2 ] - ( S2*sx[3] ); + dx4 = sx[ 1 ] - ( S3*sx[2] ); + dx5 = sx[ 0 ] - ( S4*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 ]; + S3 = sh[ 3 ]; + S4 = sh[ 4 ]; + S5 = sh[ 5 ]; + dx0 = sx[ 0 ]; // offset increment for innermost loop + dx1 = sx[ 1 ] - ( S0*sx[0] ); + dx2 = sx[ 2 ] - ( S1*sx[1] ); + dx3 = sx[ 3 ] - ( S2*sx[2] ); + dx4 = sx[ 4 ] - ( S3*sx[3] ); + dx5 = sx[ 5 ] - ( S4*sx[4] ); // offset increment for outermost loop + } + // 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 ( i5 = 0; i5 < S5; i5++ ) { + for ( i4 = 0; i4 < S4; i4++ ) { + for ( i3 = 0; i3 < S3; i3++ ) { + for ( i2 = 0; i2 < S2; i2++ ) { + for ( i1 = 0; i1 < S1; i1++ ) { + for ( i0 = 0; i0 < S0; i0++ ) { + if ( xbuf[ ix ] ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + return false; +} + + +// EXPORTS // + +module.exports = any6d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/6d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/6d_accessors.js new file mode 100644 index 000000000000..419561771835 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/6d_accessors.js @@ -0,0 +1,171 @@ +/** +* @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 strides2order = require( '@stdlib/ndarray/base/strides2order' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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 +* @returns {boolean} result +* +* @example +* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +* var accessors = require( '@stdlib/array/base/accessors' ); +* +* // 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 = [ 1, 1, 1, 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 4, 4, 4, 4, 2, 1 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'generic', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major', +* 'accessors': accessors( xbuf ).accessors +* }; +* +* // Test elements: +* var out = any6d( x ); +* // returns true +*/ +function any6d( x ) { + var xbuf; + var get; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var sh; + var S0; + var S1; + var S2; + var S3; + var S4; + var S5; + var sx; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + + // Note on variable naming convention: S#, dx#, dy#, 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; + if ( strides2order( sx ) === 1 ) { + // For row-major ndarrays, the last dimensions have the fastest changing indices... + S0 = sh[ 5 ]; + S1 = sh[ 4 ]; + S2 = sh[ 3 ]; + S3 = sh[ 2 ]; + S4 = sh[ 1 ]; + S5 = sh[ 0 ]; + dx0 = sx[ 5 ]; // offset increment for innermost loop + dx1 = sx[ 4 ] - ( S0*sx[5] ); + dx2 = sx[ 3 ] - ( S1*sx[4] ); + dx3 = sx[ 2 ] - ( S2*sx[3] ); + dx4 = sx[ 1 ] - ( S3*sx[2] ); + dx5 = sx[ 0 ] - ( S4*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 ]; + S3 = sh[ 3 ]; + S4 = sh[ 4 ]; + S5 = sh[ 5 ]; + dx0 = sx[ 0 ]; // offset increment for innermost loop + dx1 = sx[ 1 ] - ( S0*sx[0] ); + dx2 = sx[ 2 ] - ( S1*sx[1] ); + dx3 = sx[ 3 ] - ( S2*sx[2] ); + dx4 = sx[ 4 ] - ( S3*sx[3] ); + dx5 = sx[ 5 ] - ( S4*sx[4] ); // offset increment for outermost loop + } + // 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 ( i5 = 0; i5 < S5; i5++ ) { + for ( i4 = 0; i4 < S4; i4++ ) { + for ( i3 = 0; i3 < S3; i3++ ) { + for ( i2 = 0; i2 < S2; i2++ ) { + for ( i1 = 0; i1 < S1; i1++ ) { + for ( i0 = 0; i0 < S0; i0++ ) { + if ( get( xbuf, ix ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + return false; +} + + +// EXPORTS // + +module.exports = any6d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/6d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/6d_blocked.js new file mode 100644 index 000000000000..9aeae77af4e3 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/6d_blocked.js @@ -0,0 +1,228 @@ +/** +* @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' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy via loop blocking. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 1, 1, 3, 1, 2 ]; +* +* // Define the array strides: +* var sx = [ 12, 12, 12, 4, 4, 1 ]; +* +* // Define the index offset: +* var ox = 1; +* +* // 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 = blockedany6d( x ); +* // returns true +*/ +function blockedany6d( x ) { // eslint-disable-line max-statements + var bsize; + var xbuf; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var ox1; + var ox2; + var ox3; + var ox4; + var ox5; + var sh; + var s0; + var s1; + var s2; + var s3; + var s4; + var s5; + var sx; + var ox; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + var j0; + var j1; + var j2; + var j3; + var j4; + var j5; + var o; + + // Note on variable naming convention: s#, dx#, dy#, 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; + + // 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 ( j5 = sh[5]; j5 > 0; ) { + if ( j5 < bsize ) { + s5 = j5; + j5 = 0; + } else { + s5 = bsize; + j5 -= bsize; + } + ox5 = ox + ( j5*sx[5] ); + for ( j4 = sh[4]; j4 > 0; ) { + if ( j4 < bsize ) { + s4 = j4; + j4 = 0; + } else { + s4 = bsize; + j4 -= bsize; + } + dx5 = sx[5] - ( s4*sx[4] ); + ox4 = ox5 + ( j4*sx[4] ); + for ( j3 = sh[3]; j3 > 0; ) { + if ( j3 < bsize ) { + s3 = j3; + j3 = 0; + } else { + s3 = bsize; + j3 -= bsize; + } + dx4 = sx[4] - ( s3*sx[3] ); + ox3 = ox4 + ( j3*sx[3] ); + for ( j2 = sh[2]; j2 > 0; ) { + if ( j2 < bsize ) { + s2 = j2; + j2 = 0; + } else { + s2 = bsize; + j2 -= bsize; + } + dx3 = sx[3] - ( s2*sx[2] ); + ox2 = ox3 + ( 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 ( i5 = 0; i5 < s5; i5++ ) { + for ( i4 = 0; i4 < s4; i4++ ) { + for ( i3 = 0; i3 < s3; i3++ ) { + for ( i2 = 0; i2 < s2; i2++ ) { + for ( i1 = 0; i1 < s1; i1++ ) { + for ( i0 = 0; i0 < s0; i0++ ) { + if ( xbuf[ ix ] ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + } + } + } + } + } + } + return false; +} + + +// EXPORTS // + +module.exports = blockedany6d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/6d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/6d_blocked_accessors.js new file mode 100644 index 000000000000..987bcc7bd601 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/6d_blocked_accessors.js @@ -0,0 +1,235 @@ +/** +* @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' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy via loop blocking. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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 +* @returns {boolean} result +* +* @example +* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +* var accessors = require( '@stdlib/array/base/accessors' ); +* +* // 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 = [ 1, 1, 1, 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 4, 4, 4, 4, 2, 1 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'generic', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major', +* 'accessors': accessors( xbuf ).accessors +* }; +* +* // Test elements: +* var out = blockedany6d( x ); +* // returns true +*/ +function blockedany6d( x ) { // eslint-disable-line max-statements + var bsize; + var xbuf; + var get; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var ox1; + var ox2; + var ox3; + var ox4; + var ox5; + var sh; + var s0; + var s1; + var s2; + var s3; + var s4; + var s5; + var sx; + var ox; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + var j0; + var j1; + var j2; + var j3; + var j4; + var j5; + var o; + + // Note on variable naming convention: s#, dx#, dy#, 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; + + // 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 ( j5 = sh[5]; j5 > 0; ) { + if ( j5 < bsize ) { + s5 = j5; + j5 = 0; + } else { + s5 = bsize; + j5 -= bsize; + } + ox5 = ox + ( j5*sx[5] ); + for ( j4 = sh[4]; j4 > 0; ) { + if ( j4 < bsize ) { + s4 = j4; + j4 = 0; + } else { + s4 = bsize; + j4 -= bsize; + } + dx5 = sx[5] - ( s4*sx[4] ); + ox4 = ox5 + ( j4*sx[4] ); + for ( j3 = sh[3]; j3 > 0; ) { + if ( j3 < bsize ) { + s3 = j3; + j3 = 0; + } else { + s3 = bsize; + j3 -= bsize; + } + dx4 = sx[4] - ( s3*sx[3] ); + ox3 = ox4 + ( j3*sx[3] ); + for ( j2 = sh[2]; j2 > 0; ) { + if ( j2 < bsize ) { + s2 = j2; + j2 = 0; + } else { + s2 = bsize; + j2 -= bsize; + } + dx3 = sx[3] - ( s2*sx[2] ); + ox2 = ox3 + ( 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 ( i5 = 0; i5 < s5; i5++ ) { + for ( i4 = 0; i4 < s4; i4++ ) { + for ( i3 = 0; i3 < s3; i3++ ) { + for ( i2 = 0; i2 < s2; i2++ ) { + for ( i1 = 0; i1 < s1; i1++ ) { + for ( i0 = 0; i0 < s0; i0++ ) { + if ( get( xbuf, ix ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + } + } + } + } + } + } + return false; +} + + +// EXPORTS // + +module.exports = blockedany6d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/6d_blocked_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/6d_blocked_complex.js new file mode 100644 index 000000000000..e5baaec6a91c --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/6d_blocked_complex.js @@ -0,0 +1,228 @@ +/** +* @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, max-len */ + +'use strict'; + +// MODULES // + +var loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); + + +// MAIN // + +/** +* Tests whether at least one element of a reinterpreted complex number ndarray is truthy via loop blocking. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 1, 1, 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 8, 8, 8, 8, 4, 2 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'complex128', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = blockedany6d( x ); +* // returns true +*/ +function blockedany6d( x ) { // eslint-disable-line max-statements + var bsize; + var xbuf; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var ox1; + var ox2; + var ox3; + var ox4; + var ox5; + var sh; + var s0; + var s1; + var s2; + var s3; + var s4; + var s5; + var sx; + var ox; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + var j0; + var j1; + var j2; + var j3; + var j4; + var j5; + var o; + + // Note on variable naming convention: s#, dx#, dy#, 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; + + // 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 ( j5 = sh[5]; j5 > 0; ) { + if ( j5 < bsize ) { + s5 = j5; + j5 = 0; + } else { + s5 = bsize; + j5 -= bsize; + } + ox5 = ox + ( j5*sx[5] ); + for ( j4 = sh[4]; j4 > 0; ) { + if ( j4 < bsize ) { + s4 = j4; + j4 = 0; + } else { + s4 = bsize; + j4 -= bsize; + } + dx5 = sx[5] - ( s4*sx[4] ); + ox4 = ox5 + ( j4*sx[4] ); + for ( j3 = sh[3]; j3 > 0; ) { + if ( j3 < bsize ) { + s3 = j3; + j3 = 0; + } else { + s3 = bsize; + j3 -= bsize; + } + dx4 = sx[4] - ( s3*sx[3] ); + ox3 = ox4 + ( j3*sx[3] ); + for ( j2 = sh[2]; j2 > 0; ) { + if ( j2 < bsize ) { + s2 = j2; + j2 = 0; + } else { + s2 = bsize; + j2 -= bsize; + } + dx3 = sx[3] - ( s2*sx[2] ); + ox2 = ox3 + ( 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 ( i5 = 0; i5 < s5; i5++ ) { + for ( i4 = 0; i4 < s4; i4++ ) { + for ( i3 = 0; i3 < s3; i3++ ) { + for ( i2 = 0; i2 < s2; i2++ ) { + for ( i1 = 0; i1 < s1; i1++ ) { + for ( i0 = 0; i0 < s0; i0++ ) { + if ( ( xbuf[ ix ] || xbuf[ ix+1 ] ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + } + } + } + } + } + } + return false; +} + + +// EXPORTS // + +module.exports = blockedany6d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/6d_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/6d_complex.js new file mode 100644 index 000000000000..a76b055f7677 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/6d_complex.js @@ -0,0 +1,164 @@ +/** +* @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 strides2order = require( '@stdlib/ndarray/base/strides2order' ); + + +// MAIN // + +/** +* Tests whether at least one element of a reinterpreted complex number ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 1, 1, 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 8, 8, 8, 8, 4, 2 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'complex128', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = any6d( x ); +* // returns true +*/ +function any6d( x ) { + var xbuf; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var sh; + var S0; + var S1; + var S2; + var S3; + var S4; + var S5; + var sx; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + + // Note on variable naming convention: S#, dx#, dy#, 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; + if ( strides2order( sx ) === 1 ) { + // For row-major ndarrays, the last dimensions have the fastest changing indices... + S0 = sh[ 5 ]; + S1 = sh[ 4 ]; + S2 = sh[ 3 ]; + S3 = sh[ 2 ]; + S4 = sh[ 1 ]; + S5 = sh[ 0 ]; + dx0 = sx[ 5 ]; // offset increment for innermost loop + dx1 = sx[ 4 ] - ( S0*sx[5] ); + dx2 = sx[ 3 ] - ( S1*sx[4] ); + dx3 = sx[ 2 ] - ( S2*sx[3] ); + dx4 = sx[ 1 ] - ( S3*sx[2] ); + dx5 = sx[ 0 ] - ( S4*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 ]; + S3 = sh[ 3 ]; + S4 = sh[ 4 ]; + S5 = sh[ 5 ]; + dx0 = sx[ 0 ]; // offset increment for innermost loop + dx1 = sx[ 1 ] - ( S0*sx[0] ); + dx2 = sx[ 2 ] - ( S1*sx[1] ); + dx3 = sx[ 3 ] - ( S2*sx[2] ); + dx4 = sx[ 4 ] - ( S3*sx[3] ); + dx5 = sx[ 5 ] - ( S4*sx[4] ); // offset increment for outermost loop + } + // 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 ( i5 = 0; i5 < S5; i5++ ) { + for ( i4 = 0; i4 < S4; i4++ ) { + for ( i3 = 0; i3 < S3; i3++ ) { + for ( i2 = 0; i2 < S2; i2++ ) { + for ( i1 = 0; i1 < S1; i1++ ) { + for ( i0 = 0; i0 < S0; i0++ ) { + if ( ( xbuf[ ix ] || xbuf[ ix+1 ] ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + return false; +} + + +// EXPORTS // + +module.exports = any6d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/7d.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/7d.js new file mode 100644 index 000000000000..ea2cfb0677fd --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/7d.js @@ -0,0 +1,174 @@ +/** +* @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 strides2order = require( '@stdlib/ndarray/base/strides2order' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 1, 1, 1, 3, 1, 2 ]; +* +* // Define the array strides: +* var sx = [ 12, 12, 12, 12, 4, 4, 1 ]; +* +* // Define the index offset: +* var ox = 1; +* +* // 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 = any7d( x ); +* // returns true +*/ +function any7d( x ) { + var xbuf; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var dx6; + var sh; + var S0; + var S1; + var S2; + var S3; + var S4; + var S5; + var S6; + var sx; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + var i6; + + // Note on variable naming convention: S#, dx#, dy#, 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; + if ( strides2order( sx ) === 1 ) { + // For row-major ndarrays, the last dimensions have the fastest changing indices... + S0 = sh[ 6 ]; + S1 = sh[ 5 ]; + S2 = sh[ 4 ]; + S3 = sh[ 3 ]; + S4 = sh[ 2 ]; + S5 = sh[ 1 ]; + S6 = sh[ 0 ]; + dx0 = sx[ 6 ]; // offset increment for innermost loop + dx1 = sx[ 5 ] - ( S0*sx[6] ); + dx2 = sx[ 4 ] - ( S1*sx[5] ); + dx3 = sx[ 3 ] - ( S2*sx[4] ); + dx4 = sx[ 2 ] - ( S3*sx[3] ); + dx5 = sx[ 1 ] - ( S4*sx[2] ); + dx6 = sx[ 0 ] - ( S5*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 ]; + S3 = sh[ 3 ]; + S4 = sh[ 4 ]; + S5 = sh[ 5 ]; + S6 = sh[ 6 ]; + dx0 = sx[ 0 ]; // offset increment for innermost loop + dx1 = sx[ 1 ] - ( S0*sx[0] ); + dx2 = sx[ 2 ] - ( S1*sx[1] ); + dx3 = sx[ 3 ] - ( S2*sx[2] ); + dx4 = sx[ 4 ] - ( S3*sx[3] ); + dx5 = sx[ 5 ] - ( S4*sx[4] ); + dx6 = sx[ 6 ] - ( S5*sx[5] ); // offset increment for outermost loop + } + // 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 ( i6 = 0; i6 < S6; i6++ ) { + for ( i5 = 0; i5 < S5; i5++ ) { + for ( i4 = 0; i4 < S4; i4++ ) { + for ( i3 = 0; i3 < S3; i3++ ) { + for ( i2 = 0; i2 < S2; i2++ ) { + for ( i1 = 0; i1 < S1; i1++ ) { + for ( i0 = 0; i0 < S0; i0++ ) { + if ( xbuf[ ix ] ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + ix += dx6; + } + return false; +} + + +// EXPORTS // + +module.exports = any7d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/7d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/7d_accessors.js new file mode 100644 index 000000000000..21caec7bcd67 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/7d_accessors.js @@ -0,0 +1,181 @@ +/** +* @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 strides2order = require( '@stdlib/ndarray/base/strides2order' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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 +* @returns {boolean} result +* +* @example +* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +* var accessors = require( '@stdlib/array/base/accessors' ); +* +* // 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 = [ 1, 1, 1, 1, 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 4, 4, 4, 4, 4, 2, 1 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'generic', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major', +* 'accessors': accessors( xbuf ).accessors +* }; +* +* // Test elements: +* var out = any7d( x ); +* // returns true +*/ +function any7d( x ) { + var xbuf; + var get; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var dx6; + var sh; + var S0; + var S1; + var S2; + var S3; + var S4; + var S5; + var S6; + var sx; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + var i6; + + // Note on variable naming convention: S#, dx#, dy#, 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; + if ( strides2order( sx ) === 1 ) { + // For row-major ndarrays, the last dimensions have the fastest changing indices... + S0 = sh[ 6 ]; + S1 = sh[ 5 ]; + S2 = sh[ 4 ]; + S3 = sh[ 3 ]; + S4 = sh[ 2 ]; + S5 = sh[ 1 ]; + S6 = sh[ 0 ]; + dx0 = sx[ 6 ]; // offset increment for innermost loop + dx1 = sx[ 5 ] - ( S0*sx[6] ); + dx2 = sx[ 4 ] - ( S1*sx[5] ); + dx3 = sx[ 3 ] - ( S2*sx[4] ); + dx4 = sx[ 2 ] - ( S3*sx[3] ); + dx5 = sx[ 1 ] - ( S4*sx[2] ); + dx6 = sx[ 0 ] - ( S5*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 ]; + S3 = sh[ 3 ]; + S4 = sh[ 4 ]; + S5 = sh[ 5 ]; + S6 = sh[ 6 ]; + dx0 = sx[ 0 ]; // offset increment for innermost loop + dx1 = sx[ 1 ] - ( S0*sx[0] ); + dx2 = sx[ 2 ] - ( S1*sx[1] ); + dx3 = sx[ 3 ] - ( S2*sx[2] ); + dx4 = sx[ 4 ] - ( S3*sx[3] ); + dx5 = sx[ 5 ] - ( S4*sx[4] ); + dx6 = sx[ 6 ] - ( S5*sx[5] ); // offset increment for outermost loop + } + // 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 ( i6 = 0; i6 < S6; i6++ ) { + for ( i5 = 0; i5 < S5; i5++ ) { + for ( i4 = 0; i4 < S4; i4++ ) { + for ( i3 = 0; i3 < S3; i3++ ) { + for ( i2 = 0; i2 < S2; i2++ ) { + for ( i1 = 0; i1 < S1; i1++ ) { + for ( i0 = 0; i0 < S0; i0++ ) { + if ( get( xbuf, ix ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + ix += dx6; + } + return false; +} + + +// EXPORTS // + +module.exports = any7d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/7d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/7d_blocked.js new file mode 100644 index 000000000000..ac9936bdbdd9 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/7d_blocked.js @@ -0,0 +1,247 @@ +/** +* @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, max-len */ + +'use strict'; + +// MODULES // + +var loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy via loop blocking. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 1, 1, 1, 3, 1, 2 ]; +* +* // Define the array strides: +* var sx = [ 12, 12, 12, 12, 4, 4, 1 ]; +* +* // Define the index offset: +* var ox = 1; +* +* // 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 = blockedany7d( x ); +* // returns true +*/ +function blockedany7d( x ) { // eslint-disable-line max-statements + var bsize; + var xbuf; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var dx6; + var ox1; + var ox2; + var ox3; + var ox4; + var ox5; + var ox6; + var sh; + var s0; + var s1; + var s2; + var s3; + var s4; + var s5; + var s6; + var sx; + var ox; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + var i6; + var j0; + var j1; + var j2; + var j3; + var j4; + var j5; + var j6; + var o; + + // Note on variable naming convention: s#, dx#, dy#, 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; + + // 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 ( j6 = sh[6]; j6 > 0; ) { + if ( j6 < bsize ) { + s6 = j6; + j6 = 0; + } else { + s6 = bsize; + j6 -= bsize; + } + ox6 = ox + ( j6*sx[6] ); + for ( j5 = sh[5]; j5 > 0; ) { + if ( j5 < bsize ) { + s5 = j5; + j5 = 0; + } else { + s5 = bsize; + j5 -= bsize; + } + dx6 = sx[6] - ( s5*sx[5] ); + ox5 = ox6 + ( j5*sx[5] ); + for ( j4 = sh[4]; j4 > 0; ) { + if ( j4 < bsize ) { + s4 = j4; + j4 = 0; + } else { + s4 = bsize; + j4 -= bsize; + } + dx5 = sx[5] - ( s4*sx[4] ); + ox4 = ox5 + ( j4*sx[4] ); + for ( j3 = sh[3]; j3 > 0; ) { + if ( j3 < bsize ) { + s3 = j3; + j3 = 0; + } else { + s3 = bsize; + j3 -= bsize; + } + dx4 = sx[4] - ( s3*sx[3] ); + ox3 = ox4 + ( j3*sx[3] ); + for ( j2 = sh[2]; j2 > 0; ) { + if ( j2 < bsize ) { + s2 = j2; + j2 = 0; + } else { + s2 = bsize; + j2 -= bsize; + } + dx3 = sx[3] - ( s2*sx[2] ); + ox2 = ox3 + ( 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 ( i6 = 0; i6 < s6; i6++ ) { + for ( i5 = 0; i5 < s5; i5++ ) { + for ( i4 = 0; i4 < s4; i4++ ) { + for ( i3 = 0; i3 < s3; i3++ ) { + for ( i2 = 0; i2 < s2; i2++ ) { + for ( i1 = 0; i1 < s1; i1++ ) { + for ( i0 = 0; i0 < s0; i0++ ) { + if ( xbuf[ ix ] ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + ix += dx6; + } + } + } + } + } + } + } + } + return false; +} + + +// EXPORTS // + +module.exports = blockedany7d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/7d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/7d_blocked_accessors.js new file mode 100644 index 000000000000..57711126923f --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/7d_blocked_accessors.js @@ -0,0 +1,254 @@ +/** +* @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, max-len */ + +'use strict'; + +// MODULES // + +var loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy via loop blocking. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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 +* @returns {boolean} result +* +* @example +* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +* var accessors = require( '@stdlib/array/base/accessors' ); +* +* // 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 = [ 1, 1, 1, 1, 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 4, 4, 4, 4, 4, 2, 1 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'generic', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major', +* 'accessors': accessors( xbuf ).accessors +* }; +* +* // Test elements: +* var out = blockedany7d( x ); +* // returns true +*/ +function blockedany7d( x ) { // eslint-disable-line max-statements + var bsize; + var xbuf; + var get; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var dx6; + var ox1; + var ox2; + var ox3; + var ox4; + var ox5; + var ox6; + var sh; + var s0; + var s1; + var s2; + var s3; + var s4; + var s5; + var s6; + var sx; + var ox; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + var i6; + var j0; + var j1; + var j2; + var j3; + var j4; + var j5; + var j6; + var o; + + // Note on variable naming convention: s#, dx#, dy#, 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; + + // 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 ( j6 = sh[6]; j6 > 0; ) { + if ( j6 < bsize ) { + s6 = j6; + j6 = 0; + } else { + s6 = bsize; + j6 -= bsize; + } + ox6 = ox + ( j6*sx[6] ); + for ( j5 = sh[5]; j5 > 0; ) { + if ( j5 < bsize ) { + s5 = j5; + j5 = 0; + } else { + s5 = bsize; + j5 -= bsize; + } + dx6 = sx[6] - ( s5*sx[5] ); + ox5 = ox6 + ( j5*sx[5] ); + for ( j4 = sh[4]; j4 > 0; ) { + if ( j4 < bsize ) { + s4 = j4; + j4 = 0; + } else { + s4 = bsize; + j4 -= bsize; + } + dx5 = sx[5] - ( s4*sx[4] ); + ox4 = ox5 + ( j4*sx[4] ); + for ( j3 = sh[3]; j3 > 0; ) { + if ( j3 < bsize ) { + s3 = j3; + j3 = 0; + } else { + s3 = bsize; + j3 -= bsize; + } + dx4 = sx[4] - ( s3*sx[3] ); + ox3 = ox4 + ( j3*sx[3] ); + for ( j2 = sh[2]; j2 > 0; ) { + if ( j2 < bsize ) { + s2 = j2; + j2 = 0; + } else { + s2 = bsize; + j2 -= bsize; + } + dx3 = sx[3] - ( s2*sx[2] ); + ox2 = ox3 + ( 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 ( i6 = 0; i6 < s6; i6++ ) { + for ( i5 = 0; i5 < s5; i5++ ) { + for ( i4 = 0; i4 < s4; i4++ ) { + for ( i3 = 0; i3 < s3; i3++ ) { + for ( i2 = 0; i2 < s2; i2++ ) { + for ( i1 = 0; i1 < s1; i1++ ) { + for ( i0 = 0; i0 < s0; i0++ ) { + if ( get( xbuf, ix ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + ix += dx6; + } + } + } + } + } + } + } + } + return false; +} + + +// EXPORTS // + +module.exports = blockedany7d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/7d_blocked_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/7d_blocked_complex.js new file mode 100644 index 000000000000..0216030d2ea0 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/7d_blocked_complex.js @@ -0,0 +1,247 @@ +/** +* @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, max-len */ + +'use strict'; + +// MODULES // + +var loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); + + +// MAIN // + +/** +* Tests whether at least one element of a reinterpreted complex number ndarray is truthy via loop blocking. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 1, 1, 1, 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 8, 8, 8, 8, 8, 4, 2 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'complex128', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = blockedany7d( x ); +* // returns true +*/ +function blockedany7d( x ) { // eslint-disable-line max-statements + var bsize; + var xbuf; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var dx6; + var ox1; + var ox2; + var ox3; + var ox4; + var ox5; + var ox6; + var sh; + var s0; + var s1; + var s2; + var s3; + var s4; + var s5; + var s6; + var sx; + var ox; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + var i6; + var j0; + var j1; + var j2; + var j3; + var j4; + var j5; + var j6; + var o; + + // Note on variable naming convention: s#, dx#, dy#, 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; + + // 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 ( j6 = sh[6]; j6 > 0; ) { + if ( j6 < bsize ) { + s6 = j6; + j6 = 0; + } else { + s6 = bsize; + j6 -= bsize; + } + ox6 = ox + ( j6*sx[6] ); + for ( j5 = sh[5]; j5 > 0; ) { + if ( j5 < bsize ) { + s5 = j5; + j5 = 0; + } else { + s5 = bsize; + j5 -= bsize; + } + dx6 = sx[6] - ( s5*sx[5] ); + ox5 = ox6 + ( j5*sx[5] ); + for ( j4 = sh[4]; j4 > 0; ) { + if ( j4 < bsize ) { + s4 = j4; + j4 = 0; + } else { + s4 = bsize; + j4 -= bsize; + } + dx5 = sx[5] - ( s4*sx[4] ); + ox4 = ox5 + ( j4*sx[4] ); + for ( j3 = sh[3]; j3 > 0; ) { + if ( j3 < bsize ) { + s3 = j3; + j3 = 0; + } else { + s3 = bsize; + j3 -= bsize; + } + dx4 = sx[4] - ( s3*sx[3] ); + ox3 = ox4 + ( j3*sx[3] ); + for ( j2 = sh[2]; j2 > 0; ) { + if ( j2 < bsize ) { + s2 = j2; + j2 = 0; + } else { + s2 = bsize; + j2 -= bsize; + } + dx3 = sx[3] - ( s2*sx[2] ); + ox2 = ox3 + ( 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 ( i6 = 0; i6 < s6; i6++ ) { + for ( i5 = 0; i5 < s5; i5++ ) { + for ( i4 = 0; i4 < s4; i4++ ) { + for ( i3 = 0; i3 < s3; i3++ ) { + for ( i2 = 0; i2 < s2; i2++ ) { + for ( i1 = 0; i1 < s1; i1++ ) { + for ( i0 = 0; i0 < s0; i0++ ) { + if ( ( xbuf[ ix ] || xbuf[ ix+1 ] ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + ix += dx6; + } + } + } + } + } + } + } + } + return false; +} + + +// EXPORTS // + +module.exports = blockedany7d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/7d_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/7d_complex.js new file mode 100644 index 000000000000..b4e05125a18e --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/7d_complex.js @@ -0,0 +1,174 @@ +/** +* @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 strides2order = require( '@stdlib/ndarray/base/strides2order' ); + + +// MAIN // + +/** +* Tests whether at least one element of a reinterpreted complex number ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 1, 1, 1, 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 8, 8, 8, 8, 8, 4, 2 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'complex128', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = any7d( x ); +* // returns true +*/ +function any7d( x ) { + var xbuf; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var dx6; + var sh; + var S0; + var S1; + var S2; + var S3; + var S4; + var S5; + var S6; + var sx; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + var i6; + + // Note on variable naming convention: S#, dx#, dy#, 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; + if ( strides2order( sx ) === 1 ) { + // For row-major ndarrays, the last dimensions have the fastest changing indices... + S0 = sh[ 6 ]; + S1 = sh[ 5 ]; + S2 = sh[ 4 ]; + S3 = sh[ 3 ]; + S4 = sh[ 2 ]; + S5 = sh[ 1 ]; + S6 = sh[ 0 ]; + dx0 = sx[ 6 ]; // offset increment for innermost loop + dx1 = sx[ 5 ] - ( S0*sx[6] ); + dx2 = sx[ 4 ] - ( S1*sx[5] ); + dx3 = sx[ 3 ] - ( S2*sx[4] ); + dx4 = sx[ 2 ] - ( S3*sx[3] ); + dx5 = sx[ 1 ] - ( S4*sx[2] ); + dx6 = sx[ 0 ] - ( S5*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 ]; + S3 = sh[ 3 ]; + S4 = sh[ 4 ]; + S5 = sh[ 5 ]; + S6 = sh[ 6 ]; + dx0 = sx[ 0 ]; // offset increment for innermost loop + dx1 = sx[ 1 ] - ( S0*sx[0] ); + dx2 = sx[ 2 ] - ( S1*sx[1] ); + dx3 = sx[ 3 ] - ( S2*sx[2] ); + dx4 = sx[ 4 ] - ( S3*sx[3] ); + dx5 = sx[ 5 ] - ( S4*sx[4] ); + dx6 = sx[ 6 ] - ( S5*sx[5] ); // offset increment for outermost loop + } + // 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 ( i6 = 0; i6 < S6; i6++ ) { + for ( i5 = 0; i5 < S5; i5++ ) { + for ( i4 = 0; i4 < S4; i4++ ) { + for ( i3 = 0; i3 < S3; i3++ ) { + for ( i2 = 0; i2 < S2; i2++ ) { + for ( i1 = 0; i1 < S1; i1++ ) { + for ( i0 = 0; i0 < S0; i0++ ) { + if ( ( xbuf[ ix ] || xbuf[ ix+1 ] ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + ix += dx6; + } + return false; +} + + +// EXPORTS // + +module.exports = any7d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/8d.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/8d.js new file mode 100644 index 000000000000..cae894a59f28 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/8d.js @@ -0,0 +1,184 @@ +/** +* @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 strides2order = require( '@stdlib/ndarray/base/strides2order' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 1, 1, 1, 1, 3, 1, 2 ]; +* +* // Define the array strides: +* var sx = [ 12, 12, 12, 12, 12, 4, 4, 1 ]; +* +* // Define the index offset: +* var ox = 1; +* +* // 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 = any8d( x ); +* // returns true +*/ +function any8d( x ) { + var xbuf; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var dx6; + var dx7; + var sh; + var S0; + var S1; + var S2; + var S3; + var S4; + var S5; + var S6; + var S7; + var sx; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + var i6; + var i7; + + // Note on variable naming convention: S#, dx#, dy#, 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; + if ( strides2order( sx ) === 1 ) { + // For row-major ndarrays, the last dimensions have the fastest changing indices... + S0 = sh[ 7 ]; + S1 = sh[ 6 ]; + S2 = sh[ 5 ]; + S3 = sh[ 4 ]; + S4 = sh[ 3 ]; + S5 = sh[ 2 ]; + S6 = sh[ 1 ]; + S7 = sh[ 0 ]; + dx0 = sx[ 7 ]; // offset increment for innermost loop + dx1 = sx[ 6 ] - ( S0*sx[7] ); + dx2 = sx[ 5 ] - ( S1*sx[6] ); + dx3 = sx[ 4 ] - ( S2*sx[5] ); + dx4 = sx[ 3 ] - ( S3*sx[4] ); + dx5 = sx[ 2 ] - ( S4*sx[3] ); + dx6 = sx[ 1 ] - ( S5*sx[2] ); + dx7 = sx[ 0 ] - ( S6*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 ]; + S3 = sh[ 3 ]; + S4 = sh[ 4 ]; + S5 = sh[ 5 ]; + S6 = sh[ 6 ]; + S7 = sh[ 7 ]; + dx0 = sx[ 0 ]; // offset increment for innermost loop + dx1 = sx[ 1 ] - ( S0*sx[0] ); + dx2 = sx[ 2 ] - ( S1*sx[1] ); + dx3 = sx[ 3 ] - ( S2*sx[2] ); + dx4 = sx[ 4 ] - ( S3*sx[3] ); + dx5 = sx[ 5 ] - ( S4*sx[4] ); + dx6 = sx[ 6 ] - ( S5*sx[5] ); + dx7 = sx[ 7 ] - ( S6*sx[6] ); // offset increment for outermost loop + } + // 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 ( i7 = 0; i7 < S7; i7++ ) { + for ( i6 = 0; i6 < S6; i6++ ) { + for ( i5 = 0; i5 < S5; i5++ ) { + for ( i4 = 0; i4 < S4; i4++ ) { + for ( i3 = 0; i3 < S3; i3++ ) { + for ( i2 = 0; i2 < S2; i2++ ) { + for ( i1 = 0; i1 < S1; i1++ ) { + for ( i0 = 0; i0 < S0; i0++ ) { + if ( xbuf[ ix ] ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + ix += dx6; + } + ix += dx7; + } + return false; +} + + +// EXPORTS // + +module.exports = any8d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/8d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/8d_accessors.js new file mode 100644 index 000000000000..03ad3e65c667 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/8d_accessors.js @@ -0,0 +1,191 @@ +/** +* @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 strides2order = require( '@stdlib/ndarray/base/strides2order' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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 +* @returns {boolean} result +* +* @example +* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +* var accessors = require( '@stdlib/array/base/accessors' ); +* +* // 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 = [ 1, 1, 1, 1, 1, 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 4, 4, 4, 4, 4, 4, 2, 1 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'generic', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major', +* 'accessors': accessors( xbuf ).accessors +* }; +* +* // Test elements: +* var out = any8d( x ); +* // returns true +*/ +function any8d( x ) { + var xbuf; + var get; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var dx6; + var dx7; + var sh; + var S0; + var S1; + var S2; + var S3; + var S4; + var S5; + var S6; + var S7; + var sx; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + var i6; + var i7; + + // Note on variable naming convention: S#, dx#, dy#, 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; + if ( strides2order( sx ) === 1 ) { + // For row-major ndarrays, the last dimensions have the fastest changing indices... + S0 = sh[ 7 ]; + S1 = sh[ 6 ]; + S2 = sh[ 5 ]; + S3 = sh[ 4 ]; + S4 = sh[ 3 ]; + S5 = sh[ 2 ]; + S6 = sh[ 1 ]; + S7 = sh[ 0 ]; + dx0 = sx[ 7 ]; // offset increment for innermost loop + dx1 = sx[ 6 ] - ( S0*sx[7] ); + dx2 = sx[ 5 ] - ( S1*sx[6] ); + dx3 = sx[ 4 ] - ( S2*sx[5] ); + dx4 = sx[ 3 ] - ( S3*sx[4] ); + dx5 = sx[ 2 ] - ( S4*sx[3] ); + dx6 = sx[ 1 ] - ( S5*sx[2] ); + dx7 = sx[ 0 ] - ( S6*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 ]; + S3 = sh[ 3 ]; + S4 = sh[ 4 ]; + S5 = sh[ 5 ]; + S6 = sh[ 6 ]; + S7 = sh[ 7 ]; + dx0 = sx[ 0 ]; // offset increment for innermost loop + dx1 = sx[ 1 ] - ( S0*sx[0] ); + dx2 = sx[ 2 ] - ( S1*sx[1] ); + dx3 = sx[ 3 ] - ( S2*sx[2] ); + dx4 = sx[ 4 ] - ( S3*sx[3] ); + dx5 = sx[ 5 ] - ( S4*sx[4] ); + dx6 = sx[ 6 ] - ( S5*sx[5] ); + dx7 = sx[ 7 ] - ( S6*sx[6] ); // offset increment for outermost loop + } + // 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 ( i7 = 0; i7 < S7; i7++ ) { + for ( i6 = 0; i6 < S6; i6++ ) { + for ( i5 = 0; i5 < S5; i5++ ) { + for ( i4 = 0; i4 < S4; i4++ ) { + for ( i3 = 0; i3 < S3; i3++ ) { + for ( i2 = 0; i2 < S2; i2++ ) { + for ( i1 = 0; i1 < S1; i1++ ) { + for ( i0 = 0; i0 < S0; i0++ ) { + if ( get( xbuf, ix ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + ix += dx6; + } + ix += dx7; + } + return false; +} + + +// EXPORTS // + +module.exports = any8d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/8d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/8d_blocked.js new file mode 100644 index 000000000000..e6d63701ffb8 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/8d_blocked.js @@ -0,0 +1,266 @@ +/** +* @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, max-len */ + +'use strict'; + +// MODULES // + +var loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy via loop blocking. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 1, 1, 1, 1, 3, 1, 2 ]; +* +* // Define the array strides: +* var sx = [ 12, 12, 12, 12, 12, 4, 4, 1 ]; +* +* // Define the index offset: +* var ox = 1; +* +* // 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 = blockedany8d( x ); +* // returns true +*/ +function blockedany8d( x ) { // eslint-disable-line max-statements + var bsize; + var xbuf; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var dx6; + var dx7; + var ox1; + var ox2; + var ox3; + var ox4; + var ox5; + var ox6; + var ox7; + var sh; + var s0; + var s1; + var s2; + var s3; + var s4; + var s5; + var s6; + var s7; + var sx; + var ox; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + var i6; + var i7; + var j0; + var j1; + var j2; + var j3; + var j4; + var j5; + var j6; + var j7; + var o; + + // Note on variable naming convention: s#, dx#, dy#, 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; + + // 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 ( j7 = sh[7]; j7 > 0; ) { + if ( j7 < bsize ) { + s7 = j7; + j7 = 0; + } else { + s7 = bsize; + j7 -= bsize; + } + ox7 = ox + ( j7*sx[7] ); + for ( j6 = sh[6]; j6 > 0; ) { + if ( j6 < bsize ) { + s6 = j6; + j6 = 0; + } else { + s6 = bsize; + j6 -= bsize; + } + dx7 = sx[7] - ( s6*sx[6] ); + ox6 = ox7 + ( j6*sx[6] ); + for ( j5 = sh[5]; j5 > 0; ) { + if ( j5 < bsize ) { + s5 = j5; + j5 = 0; + } else { + s5 = bsize; + j5 -= bsize; + } + dx6 = sx[6] - ( s5*sx[5] ); + ox5 = ox6 + ( j5*sx[5] ); + for ( j4 = sh[4]; j4 > 0; ) { + if ( j4 < bsize ) { + s4 = j4; + j4 = 0; + } else { + s4 = bsize; + j4 -= bsize; + } + dx5 = sx[5] - ( s4*sx[4] ); + ox4 = ox5 + ( j4*sx[4] ); + for ( j3 = sh[3]; j3 > 0; ) { + if ( j3 < bsize ) { + s3 = j3; + j3 = 0; + } else { + s3 = bsize; + j3 -= bsize; + } + dx4 = sx[4] - ( s3*sx[3] ); + ox3 = ox4 + ( j3*sx[3] ); + for ( j2 = sh[2]; j2 > 0; ) { + if ( j2 < bsize ) { + s2 = j2; + j2 = 0; + } else { + s2 = bsize; + j2 -= bsize; + } + dx3 = sx[3] - ( s2*sx[2] ); + ox2 = ox3 + ( 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 ( i7 = 0; i7 < s7; i7++ ) { + for ( i6 = 0; i6 < s6; i6++ ) { + for ( i5 = 0; i5 < s5; i5++ ) { + for ( i4 = 0; i4 < s4; i4++ ) { + for ( i3 = 0; i3 < s3; i3++ ) { + for ( i2 = 0; i2 < s2; i2++ ) { + for ( i1 = 0; i1 < s1; i1++ ) { + for ( i0 = 0; i0 < s0; i0++ ) { + if ( xbuf[ ix ] ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + ix += dx6; + } + ix += dx7; + } + } + } + } + } + } + } + } + } + return false; +} + + +// EXPORTS // + +module.exports = blockedany8d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/8d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/8d_blocked_accessors.js new file mode 100644 index 000000000000..219721e0c341 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/8d_blocked_accessors.js @@ -0,0 +1,273 @@ +/** +* @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, max-len */ + +'use strict'; + +// MODULES // + +var loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy via loop blocking. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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 +* @returns {boolean} result +* +* @example +* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +* var accessors = require( '@stdlib/array/base/accessors' ); +* +* // 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 = [ 1, 1, 1, 1, 1, 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 4, 4, 4, 4, 4, 4, 2, 1 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'generic', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major', +* 'accessors': accessors( xbuf ).accessors +* }; +* +* // Test elements: +* var out = blockedany8d( x ); +* // returns true +*/ +function blockedany8d( x ) { // eslint-disable-line max-statements + var bsize; + var xbuf; + var get; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var dx6; + var dx7; + var ox1; + var ox2; + var ox3; + var ox4; + var ox5; + var ox6; + var ox7; + var sh; + var s0; + var s1; + var s2; + var s3; + var s4; + var s5; + var s6; + var s7; + var sx; + var ox; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + var i6; + var i7; + var j0; + var j1; + var j2; + var j3; + var j4; + var j5; + var j6; + var j7; + var o; + + // Note on variable naming convention: s#, dx#, dy#, 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; + + // 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 ( j7 = sh[7]; j7 > 0; ) { + if ( j7 < bsize ) { + s7 = j7; + j7 = 0; + } else { + s7 = bsize; + j7 -= bsize; + } + ox7 = ox + ( j7*sx[7] ); + for ( j6 = sh[6]; j6 > 0; ) { + if ( j6 < bsize ) { + s6 = j6; + j6 = 0; + } else { + s6 = bsize; + j6 -= bsize; + } + dx7 = sx[7] - ( s6*sx[6] ); + ox6 = ox7 + ( j6*sx[6] ); + for ( j5 = sh[5]; j5 > 0; ) { + if ( j5 < bsize ) { + s5 = j5; + j5 = 0; + } else { + s5 = bsize; + j5 -= bsize; + } + dx6 = sx[6] - ( s5*sx[5] ); + ox5 = ox6 + ( j5*sx[5] ); + for ( j4 = sh[4]; j4 > 0; ) { + if ( j4 < bsize ) { + s4 = j4; + j4 = 0; + } else { + s4 = bsize; + j4 -= bsize; + } + dx5 = sx[5] - ( s4*sx[4] ); + ox4 = ox5 + ( j4*sx[4] ); + for ( j3 = sh[3]; j3 > 0; ) { + if ( j3 < bsize ) { + s3 = j3; + j3 = 0; + } else { + s3 = bsize; + j3 -= bsize; + } + dx4 = sx[4] - ( s3*sx[3] ); + ox3 = ox4 + ( j3*sx[3] ); + for ( j2 = sh[2]; j2 > 0; ) { + if ( j2 < bsize ) { + s2 = j2; + j2 = 0; + } else { + s2 = bsize; + j2 -= bsize; + } + dx3 = sx[3] - ( s2*sx[2] ); + ox2 = ox3 + ( 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 ( i7 = 0; i7 < s7; i7++ ) { + for ( i6 = 0; i6 < s6; i6++ ) { + for ( i5 = 0; i5 < s5; i5++ ) { + for ( i4 = 0; i4 < s4; i4++ ) { + for ( i3 = 0; i3 < s3; i3++ ) { + for ( i2 = 0; i2 < s2; i2++ ) { + for ( i1 = 0; i1 < s1; i1++ ) { + for ( i0 = 0; i0 < s0; i0++ ) { + if ( get( xbuf, ix ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + ix += dx6; + } + ix += dx7; + } + } + } + } + } + } + } + } + } + return false; +} + + +// EXPORTS // + +module.exports = blockedany8d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/8d_blocked_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/8d_blocked_complex.js new file mode 100644 index 000000000000..8d988a43e21a --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/8d_blocked_complex.js @@ -0,0 +1,266 @@ +/** +* @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, max-len */ + +'use strict'; + +// MODULES // + +var loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); + + +// MAIN // + +/** +* Tests whether at least one element of a reinterpreted complex number ndarray is truthy via loop blocking. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 1, 1, 1, 1, 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 8, 8, 8, 8, 8, 8, 4, 2 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'complex128', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = blockedany8d( x ); +* // returns true +*/ +function blockedany8d( x ) { // eslint-disable-line max-statements + var bsize; + var xbuf; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var dx6; + var dx7; + var ox1; + var ox2; + var ox3; + var ox4; + var ox5; + var ox6; + var ox7; + var sh; + var s0; + var s1; + var s2; + var s3; + var s4; + var s5; + var s6; + var s7; + var sx; + var ox; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + var i6; + var i7; + var j0; + var j1; + var j2; + var j3; + var j4; + var j5; + var j6; + var j7; + var o; + + // Note on variable naming convention: s#, dx#, dy#, 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; + + // 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 ( j7 = sh[7]; j7 > 0; ) { + if ( j7 < bsize ) { + s7 = j7; + j7 = 0; + } else { + s7 = bsize; + j7 -= bsize; + } + ox7 = ox + ( j7*sx[7] ); + for ( j6 = sh[6]; j6 > 0; ) { + if ( j6 < bsize ) { + s6 = j6; + j6 = 0; + } else { + s6 = bsize; + j6 -= bsize; + } + dx7 = sx[7] - ( s6*sx[6] ); + ox6 = ox7 + ( j6*sx[6] ); + for ( j5 = sh[5]; j5 > 0; ) { + if ( j5 < bsize ) { + s5 = j5; + j5 = 0; + } else { + s5 = bsize; + j5 -= bsize; + } + dx6 = sx[6] - ( s5*sx[5] ); + ox5 = ox6 + ( j5*sx[5] ); + for ( j4 = sh[4]; j4 > 0; ) { + if ( j4 < bsize ) { + s4 = j4; + j4 = 0; + } else { + s4 = bsize; + j4 -= bsize; + } + dx5 = sx[5] - ( s4*sx[4] ); + ox4 = ox5 + ( j4*sx[4] ); + for ( j3 = sh[3]; j3 > 0; ) { + if ( j3 < bsize ) { + s3 = j3; + j3 = 0; + } else { + s3 = bsize; + j3 -= bsize; + } + dx4 = sx[4] - ( s3*sx[3] ); + ox3 = ox4 + ( j3*sx[3] ); + for ( j2 = sh[2]; j2 > 0; ) { + if ( j2 < bsize ) { + s2 = j2; + j2 = 0; + } else { + s2 = bsize; + j2 -= bsize; + } + dx3 = sx[3] - ( s2*sx[2] ); + ox2 = ox3 + ( 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 ( i7 = 0; i7 < s7; i7++ ) { + for ( i6 = 0; i6 < s6; i6++ ) { + for ( i5 = 0; i5 < s5; i5++ ) { + for ( i4 = 0; i4 < s4; i4++ ) { + for ( i3 = 0; i3 < s3; i3++ ) { + for ( i2 = 0; i2 < s2; i2++ ) { + for ( i1 = 0; i1 < s1; i1++ ) { + for ( i0 = 0; i0 < s0; i0++ ) { + if ( ( xbuf[ ix ] || xbuf[ ix+1 ] ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + ix += dx6; + } + ix += dx7; + } + } + } + } + } + } + } + } + } + return false; +} + + +// EXPORTS // + +module.exports = blockedany8d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/8d_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/8d_complex.js new file mode 100644 index 000000000000..a00a660d63d5 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/8d_complex.js @@ -0,0 +1,184 @@ +/** +* @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 strides2order = require( '@stdlib/ndarray/base/strides2order' ); + + +// MAIN // + +/** +* Tests whether at least one element of a reinterpreted complex number ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 1, 1, 1, 1, 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 8, 8, 8, 8, 8, 8, 4, 2 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'complex128', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = any8d( x ); +* // returns true +*/ +function any8d( x ) { + var xbuf; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var dx6; + var dx7; + var sh; + var S0; + var S1; + var S2; + var S3; + var S4; + var S5; + var S6; + var S7; + var sx; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + var i6; + var i7; + + // Note on variable naming convention: S#, dx#, dy#, 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; + if ( strides2order( sx ) === 1 ) { + // For row-major ndarrays, the last dimensions have the fastest changing indices... + S0 = sh[ 7 ]; + S1 = sh[ 6 ]; + S2 = sh[ 5 ]; + S3 = sh[ 4 ]; + S4 = sh[ 3 ]; + S5 = sh[ 2 ]; + S6 = sh[ 1 ]; + S7 = sh[ 0 ]; + dx0 = sx[ 7 ]; // offset increment for innermost loop + dx1 = sx[ 6 ] - ( S0*sx[7] ); + dx2 = sx[ 5 ] - ( S1*sx[6] ); + dx3 = sx[ 4 ] - ( S2*sx[5] ); + dx4 = sx[ 3 ] - ( S3*sx[4] ); + dx5 = sx[ 2 ] - ( S4*sx[3] ); + dx6 = sx[ 1 ] - ( S5*sx[2] ); + dx7 = sx[ 0 ] - ( S6*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 ]; + S3 = sh[ 3 ]; + S4 = sh[ 4 ]; + S5 = sh[ 5 ]; + S6 = sh[ 6 ]; + S7 = sh[ 7 ]; + dx0 = sx[ 0 ]; // offset increment for innermost loop + dx1 = sx[ 1 ] - ( S0*sx[0] ); + dx2 = sx[ 2 ] - ( S1*sx[1] ); + dx3 = sx[ 3 ] - ( S2*sx[2] ); + dx4 = sx[ 4 ] - ( S3*sx[3] ); + dx5 = sx[ 5 ] - ( S4*sx[4] ); + dx6 = sx[ 6 ] - ( S5*sx[5] ); + dx7 = sx[ 7 ] - ( S6*sx[6] ); // offset increment for outermost loop + } + // 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 ( i7 = 0; i7 < S7; i7++ ) { + for ( i6 = 0; i6 < S6; i6++ ) { + for ( i5 = 0; i5 < S5; i5++ ) { + for ( i4 = 0; i4 < S4; i4++ ) { + for ( i3 = 0; i3 < S3; i3++ ) { + for ( i2 = 0; i2 < S2; i2++ ) { + for ( i1 = 0; i1 < S1; i1++ ) { + for ( i0 = 0; i0 < S0; i0++ ) { + if ( ( xbuf[ ix ] || xbuf[ ix+1 ] ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + ix += dx6; + } + ix += dx7; + } + return false; +} + + +// EXPORTS // + +module.exports = any8d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/9d.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/9d.js new file mode 100644 index 000000000000..0803de4fae6f --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/9d.js @@ -0,0 +1,194 @@ +/** +* @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 strides2order = require( '@stdlib/ndarray/base/strides2order' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 1, 1, 1, 1, 1, 3, 1, 2 ]; +* +* // Define the array strides: +* var sx = [ 12, 12, 12, 12, 12, 12, 4, 4, 1 ]; +* +* // Define the index offset: +* var ox = 1; +* +* // 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 = any9d( x ); +* // returns true +*/ +function any9d( x ) { + var xbuf; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var dx6; + var dx7; + var dx8; + var sh; + var S0; + var S1; + var S2; + var S3; + var S4; + var S5; + var S6; + var S7; + var S8; + var sx; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + var i6; + var i7; + var i8; + + // Note on variable naming convention: S#, dx#, dy#, 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; + if ( strides2order( sx ) === 1 ) { + // For row-major ndarrays, the last dimensions have the fastest changing indices... + S0 = sh[ 8 ]; + S1 = sh[ 7 ]; + S2 = sh[ 6 ]; + S3 = sh[ 5 ]; + S4 = sh[ 4 ]; + S5 = sh[ 3 ]; + S6 = sh[ 2 ]; + S7 = sh[ 1 ]; + S8 = sh[ 0 ]; + dx0 = sx[ 8 ]; // offset increment for innermost loop + dx1 = sx[ 7 ] - ( S0*sx[8] ); + dx2 = sx[ 6 ] - ( S1*sx[7] ); + dx3 = sx[ 5 ] - ( S2*sx[6] ); + dx4 = sx[ 4 ] - ( S3*sx[5] ); + dx5 = sx[ 3 ] - ( S4*sx[4] ); + dx6 = sx[ 2 ] - ( S5*sx[3] ); + dx7 = sx[ 1 ] - ( S6*sx[2] ); + dx8 = sx[ 0 ] - ( S7*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 ]; + S3 = sh[ 3 ]; + S4 = sh[ 4 ]; + S5 = sh[ 5 ]; + S6 = sh[ 6 ]; + S7 = sh[ 7 ]; + S8 = sh[ 8 ]; + dx0 = sx[ 0 ]; // offset increment for innermost loop + dx1 = sx[ 1 ] - ( S0*sx[0] ); + dx2 = sx[ 2 ] - ( S1*sx[1] ); + dx3 = sx[ 3 ] - ( S2*sx[2] ); + dx4 = sx[ 4 ] - ( S3*sx[3] ); + dx5 = sx[ 5 ] - ( S4*sx[4] ); + dx6 = sx[ 6 ] - ( S5*sx[5] ); + dx7 = sx[ 7 ] - ( S6*sx[6] ); + dx8 = sx[ 8 ] - ( S7*sx[7] ); // offset increment for outermost loop + } + // 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 ( i8 = 0; i8 < S8; i8++ ) { + for ( i7 = 0; i7 < S7; i7++ ) { + for ( i6 = 0; i6 < S6; i6++ ) { + for ( i5 = 0; i5 < S5; i5++ ) { + for ( i4 = 0; i4 < S4; i4++ ) { + for ( i3 = 0; i3 < S3; i3++ ) { + for ( i2 = 0; i2 < S2; i2++ ) { + for ( i1 = 0; i1 < S1; i1++ ) { + for ( i0 = 0; i0 < S0; i0++ ) { + if ( xbuf[ ix ] ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + ix += dx6; + } + ix += dx7; + } + ix += dx8; + } + return false; +} + + +// EXPORTS // + +module.exports = any9d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/9d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/9d_accessors.js new file mode 100644 index 000000000000..054ff5276b8f --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/9d_accessors.js @@ -0,0 +1,201 @@ +/** +* @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 strides2order = require( '@stdlib/ndarray/base/strides2order' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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 +* @returns {boolean} result +* +* @example +* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +* var accessors = require( '@stdlib/array/base/accessors' ); +* +* // 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 = [ 1, 1, 1, 1, 1, 1, 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 4, 4, 4, 4, 4, 4, 4, 2, 1 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'generic', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major', +* 'accessors': accessors( xbuf ).accessors +* }; +* +* // Test elements: +* var out = any9d( x ); +* // returns true +*/ +function any9d( x ) { + var xbuf; + var get; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var dx6; + var dx7; + var dx8; + var sh; + var S0; + var S1; + var S2; + var S3; + var S4; + var S5; + var S6; + var S7; + var S8; + var sx; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + var i6; + var i7; + var i8; + + // Note on variable naming convention: S#, dx#, dy#, 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; + if ( strides2order( sx ) === 1 ) { + // For row-major ndarrays, the last dimensions have the fastest changing indices... + S0 = sh[ 8 ]; + S1 = sh[ 7 ]; + S2 = sh[ 6 ]; + S3 = sh[ 5 ]; + S4 = sh[ 4 ]; + S5 = sh[ 3 ]; + S6 = sh[ 2 ]; + S7 = sh[ 1 ]; + S8 = sh[ 0 ]; + dx0 = sx[ 8 ]; // offset increment for innermost loop + dx1 = sx[ 7 ] - ( S0*sx[8] ); + dx2 = sx[ 6 ] - ( S1*sx[7] ); + dx3 = sx[ 5 ] - ( S2*sx[6] ); + dx4 = sx[ 4 ] - ( S3*sx[5] ); + dx5 = sx[ 3 ] - ( S4*sx[4] ); + dx6 = sx[ 2 ] - ( S5*sx[3] ); + dx7 = sx[ 1 ] - ( S6*sx[2] ); + dx8 = sx[ 0 ] - ( S7*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 ]; + S3 = sh[ 3 ]; + S4 = sh[ 4 ]; + S5 = sh[ 5 ]; + S6 = sh[ 6 ]; + S7 = sh[ 7 ]; + S8 = sh[ 8 ]; + dx0 = sx[ 0 ]; // offset increment for innermost loop + dx1 = sx[ 1 ] - ( S0*sx[0] ); + dx2 = sx[ 2 ] - ( S1*sx[1] ); + dx3 = sx[ 3 ] - ( S2*sx[2] ); + dx4 = sx[ 4 ] - ( S3*sx[3] ); + dx5 = sx[ 5 ] - ( S4*sx[4] ); + dx6 = sx[ 6 ] - ( S5*sx[5] ); + dx7 = sx[ 7 ] - ( S6*sx[6] ); + dx8 = sx[ 8 ] - ( S7*sx[7] ); // offset increment for outermost loop + } + // 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 ( i8 = 0; i8 < S8; i8++ ) { + for ( i7 = 0; i7 < S7; i7++ ) { + for ( i6 = 0; i6 < S6; i6++ ) { + for ( i5 = 0; i5 < S5; i5++ ) { + for ( i4 = 0; i4 < S4; i4++ ) { + for ( i3 = 0; i3 < S3; i3++ ) { + for ( i2 = 0; i2 < S2; i2++ ) { + for ( i1 = 0; i1 < S1; i1++ ) { + for ( i0 = 0; i0 < S0; i0++ ) { + if ( get( xbuf, ix ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + ix += dx6; + } + ix += dx7; + } + ix += dx8; + } + return false; +} + + +// EXPORTS // + +module.exports = any9d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/9d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/9d_blocked.js new file mode 100644 index 000000000000..c8b5fd59e098 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/9d_blocked.js @@ -0,0 +1,285 @@ +/** +* @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, max-len */ + +'use strict'; + +// MODULES // + +var loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy via loop blocking. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 1, 1, 1, 1, 1, 3, 1, 2 ]; +* +* // Define the array strides: +* var sx = [ 12, 12, 12, 12, 12, 12, 4, 4, 1 ]; +* +* // Define the index offset: +* var ox = 1; +* +* // 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 = blockedany9d( x ); +* // returns true +*/ +function blockedany9d( x ) { // eslint-disable-line max-statements + var bsize; + var xbuf; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var dx6; + var dx7; + var dx8; + var ox1; + var ox2; + var ox3; + var ox4; + var ox5; + var ox6; + var ox7; + var ox8; + var sh; + var s0; + var s1; + var s2; + var s3; + var s4; + var s5; + var s6; + var s7; + var s8; + var sx; + var ox; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + var i6; + var i7; + var i8; + var j0; + var j1; + var j2; + var j3; + var j4; + var j5; + var j6; + var j7; + var j8; + var o; + + // Note on variable naming convention: s#, dx#, dy#, 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; + + // 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 ( j8 = sh[8]; j8 > 0; ) { + if ( j8 < bsize ) { + s8 = j8; + j8 = 0; + } else { + s8 = bsize; + j8 -= bsize; + } + ox8 = ox + ( j8*sx[8] ); + for ( j7 = sh[7]; j7 > 0; ) { + if ( j7 < bsize ) { + s7 = j7; + j7 = 0; + } else { + s7 = bsize; + j7 -= bsize; + } + dx8 = sx[8] - ( s7*sx[7] ); + ox7 = ox8 + ( j7*sx[7] ); + for ( j6 = sh[6]; j6 > 0; ) { + if ( j6 < bsize ) { + s6 = j6; + j6 = 0; + } else { + s6 = bsize; + j6 -= bsize; + } + dx7 = sx[7] - ( s6*sx[6] ); + ox6 = ox7 + ( j6*sx[6] ); + for ( j5 = sh[5]; j5 > 0; ) { + if ( j5 < bsize ) { + s5 = j5; + j5 = 0; + } else { + s5 = bsize; + j5 -= bsize; + } + dx6 = sx[6] - ( s5*sx[5] ); + ox5 = ox6 + ( j5*sx[5] ); + for ( j4 = sh[4]; j4 > 0; ) { + if ( j4 < bsize ) { + s4 = j4; + j4 = 0; + } else { + s4 = bsize; + j4 -= bsize; + } + dx5 = sx[5] - ( s4*sx[4] ); + ox4 = ox5 + ( j4*sx[4] ); + for ( j3 = sh[3]; j3 > 0; ) { + if ( j3 < bsize ) { + s3 = j3; + j3 = 0; + } else { + s3 = bsize; + j3 -= bsize; + } + dx4 = sx[4] - ( s3*sx[3] ); + ox3 = ox4 + ( j3*sx[3] ); + for ( j2 = sh[2]; j2 > 0; ) { + if ( j2 < bsize ) { + s2 = j2; + j2 = 0; + } else { + s2 = bsize; + j2 -= bsize; + } + dx3 = sx[3] - ( s2*sx[2] ); + ox2 = ox3 + ( 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 ( i8 = 0; i8 < s8; i8++ ) { + for ( i7 = 0; i7 < s7; i7++ ) { + for ( i6 = 0; i6 < s6; i6++ ) { + for ( i5 = 0; i5 < s5; i5++ ) { + for ( i4 = 0; i4 < s4; i4++ ) { + for ( i3 = 0; i3 < s3; i3++ ) { + for ( i2 = 0; i2 < s2; i2++ ) { + for ( i1 = 0; i1 < s1; i1++ ) { + for ( i0 = 0; i0 < s0; i0++ ) { + if ( xbuf[ ix ] ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + ix += dx6; + } + ix += dx7; + } + ix += dx8; + } + } + } + } + } + } + } + } + } + } + return false; +} + + +// EXPORTS // + +module.exports = blockedany9d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/9d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/9d_blocked_accessors.js new file mode 100644 index 000000000000..e19d71b4ad8f --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/9d_blocked_accessors.js @@ -0,0 +1,292 @@ +/** +* @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, max-len */ + +'use strict'; + +// MODULES // + +var loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); + + +// MAIN // + +/** +* Tests whether at least one element in an ndarray is truthy via loop blocking. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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 +* @returns {boolean} result +* +* @example +* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +* var accessors = require( '@stdlib/array/base/accessors' ); +* +* // 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 = [ 1, 1, 1, 1, 1, 1, 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 4, 4, 4, 4, 4, 4, 4, 2, 1 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'generic', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major', +* 'accessors': accessors( xbuf ).accessors +* }; +* +* // Test elements: +* var out = blockedany9d( x ); +* // returns true +*/ +function blockedany9d( x ) { // eslint-disable-line max-statements + var bsize; + var xbuf; + var get; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var dx6; + var dx7; + var dx8; + var ox1; + var ox2; + var ox3; + var ox4; + var ox5; + var ox6; + var ox7; + var ox8; + var sh; + var s0; + var s1; + var s2; + var s3; + var s4; + var s5; + var s6; + var s7; + var s8; + var sx; + var ox; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + var i6; + var i7; + var i8; + var j0; + var j1; + var j2; + var j3; + var j4; + var j5; + var j6; + var j7; + var j8; + var o; + + // Note on variable naming convention: s#, dx#, dy#, 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; + + // 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 ( j8 = sh[8]; j8 > 0; ) { + if ( j8 < bsize ) { + s8 = j8; + j8 = 0; + } else { + s8 = bsize; + j8 -= bsize; + } + ox8 = ox + ( j8*sx[8] ); + for ( j7 = sh[7]; j7 > 0; ) { + if ( j7 < bsize ) { + s7 = j7; + j7 = 0; + } else { + s7 = bsize; + j7 -= bsize; + } + dx8 = sx[8] - ( s7*sx[7] ); + ox7 = ox8 + ( j7*sx[7] ); + for ( j6 = sh[6]; j6 > 0; ) { + if ( j6 < bsize ) { + s6 = j6; + j6 = 0; + } else { + s6 = bsize; + j6 -= bsize; + } + dx7 = sx[7] - ( s6*sx[6] ); + ox6 = ox7 + ( j6*sx[6] ); + for ( j5 = sh[5]; j5 > 0; ) { + if ( j5 < bsize ) { + s5 = j5; + j5 = 0; + } else { + s5 = bsize; + j5 -= bsize; + } + dx6 = sx[6] - ( s5*sx[5] ); + ox5 = ox6 + ( j5*sx[5] ); + for ( j4 = sh[4]; j4 > 0; ) { + if ( j4 < bsize ) { + s4 = j4; + j4 = 0; + } else { + s4 = bsize; + j4 -= bsize; + } + dx5 = sx[5] - ( s4*sx[4] ); + ox4 = ox5 + ( j4*sx[4] ); + for ( j3 = sh[3]; j3 > 0; ) { + if ( j3 < bsize ) { + s3 = j3; + j3 = 0; + } else { + s3 = bsize; + j3 -= bsize; + } + dx4 = sx[4] - ( s3*sx[3] ); + ox3 = ox4 + ( j3*sx[3] ); + for ( j2 = sh[2]; j2 > 0; ) { + if ( j2 < bsize ) { + s2 = j2; + j2 = 0; + } else { + s2 = bsize; + j2 -= bsize; + } + dx3 = sx[3] - ( s2*sx[2] ); + ox2 = ox3 + ( 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 ( i8 = 0; i8 < s8; i8++ ) { + for ( i7 = 0; i7 < s7; i7++ ) { + for ( i6 = 0; i6 < s6; i6++ ) { + for ( i5 = 0; i5 < s5; i5++ ) { + for ( i4 = 0; i4 < s4; i4++ ) { + for ( i3 = 0; i3 < s3; i3++ ) { + for ( i2 = 0; i2 < s2; i2++ ) { + for ( i1 = 0; i1 < s1; i1++ ) { + for ( i0 = 0; i0 < s0; i0++ ) { + if ( get( xbuf, ix ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + ix += dx6; + } + ix += dx7; + } + ix += dx8; + } + } + } + } + } + } + } + } + } + } + return false; +} + + +// EXPORTS // + +module.exports = blockedany9d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/9d_blocked_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/9d_blocked_complex.js new file mode 100644 index 000000000000..06b6f55b3e22 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/9d_blocked_complex.js @@ -0,0 +1,285 @@ +/** +* @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, max-len */ + +'use strict'; + +// MODULES // + +var loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); + + +// MAIN // + +/** +* Tests whether at least one element of a reinterpreted complex number ndarray is truthy via loop blocking. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 1, 1, 1, 1, 1, 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 8, 8, 8, 8, 8, 8, 8, 4, 2 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'complex128', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = blockedany9d( x ); +* // returns true +*/ +function blockedany9d( x ) { // eslint-disable-line max-statements + var bsize; + var xbuf; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var dx6; + var dx7; + var dx8; + var ox1; + var ox2; + var ox3; + var ox4; + var ox5; + var ox6; + var ox7; + var ox8; + var sh; + var s0; + var s1; + var s2; + var s3; + var s4; + var s5; + var s6; + var s7; + var s8; + var sx; + var ox; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + var i6; + var i7; + var i8; + var j0; + var j1; + var j2; + var j3; + var j4; + var j5; + var j6; + var j7; + var j8; + var o; + + // Note on variable naming convention: s#, dx#, dy#, 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; + + // 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 ( j8 = sh[8]; j8 > 0; ) { + if ( j8 < bsize ) { + s8 = j8; + j8 = 0; + } else { + s8 = bsize; + j8 -= bsize; + } + ox8 = ox + ( j8*sx[8] ); + for ( j7 = sh[7]; j7 > 0; ) { + if ( j7 < bsize ) { + s7 = j7; + j7 = 0; + } else { + s7 = bsize; + j7 -= bsize; + } + dx8 = sx[8] - ( s7*sx[7] ); + ox7 = ox8 + ( j7*sx[7] ); + for ( j6 = sh[6]; j6 > 0; ) { + if ( j6 < bsize ) { + s6 = j6; + j6 = 0; + } else { + s6 = bsize; + j6 -= bsize; + } + dx7 = sx[7] - ( s6*sx[6] ); + ox6 = ox7 + ( j6*sx[6] ); + for ( j5 = sh[5]; j5 > 0; ) { + if ( j5 < bsize ) { + s5 = j5; + j5 = 0; + } else { + s5 = bsize; + j5 -= bsize; + } + dx6 = sx[6] - ( s5*sx[5] ); + ox5 = ox6 + ( j5*sx[5] ); + for ( j4 = sh[4]; j4 > 0; ) { + if ( j4 < bsize ) { + s4 = j4; + j4 = 0; + } else { + s4 = bsize; + j4 -= bsize; + } + dx5 = sx[5] - ( s4*sx[4] ); + ox4 = ox5 + ( j4*sx[4] ); + for ( j3 = sh[3]; j3 > 0; ) { + if ( j3 < bsize ) { + s3 = j3; + j3 = 0; + } else { + s3 = bsize; + j3 -= bsize; + } + dx4 = sx[4] - ( s3*sx[3] ); + ox3 = ox4 + ( j3*sx[3] ); + for ( j2 = sh[2]; j2 > 0; ) { + if ( j2 < bsize ) { + s2 = j2; + j2 = 0; + } else { + s2 = bsize; + j2 -= bsize; + } + dx3 = sx[3] - ( s2*sx[2] ); + ox2 = ox3 + ( 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 ( i8 = 0; i8 < s8; i8++ ) { + for ( i7 = 0; i7 < s7; i7++ ) { + for ( i6 = 0; i6 < s6; i6++ ) { + for ( i5 = 0; i5 < s5; i5++ ) { + for ( i4 = 0; i4 < s4; i4++ ) { + for ( i3 = 0; i3 < s3; i3++ ) { + for ( i2 = 0; i2 < s2; i2++ ) { + for ( i1 = 0; i1 < s1; i1++ ) { + for ( i0 = 0; i0 < s0; i0++ ) { + if ( ( xbuf[ ix ] || xbuf[ ix+1 ] ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + ix += dx6; + } + ix += dx7; + } + ix += dx8; + } + } + } + } + } + } + } + } + } + } + return false; +} + + +// EXPORTS // + +module.exports = blockedany9d; diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/9d_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/9d_complex.js new file mode 100644 index 000000000000..a8cafda9ee1e --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/9d_complex.js @@ -0,0 +1,194 @@ +/** +* @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 strides2order = require( '@stdlib/ndarray/base/strides2order' ); + + +// MAIN // + +/** +* Tests whether at least one element of a reinterpreted complex number ndarray is truthy. +* +* @private +* @param {Object} x - object containing ndarray meta data +* @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) +* @returns {boolean} result +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* // 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 = [ 1, 1, 1, 1, 1, 1, 1, 2, 2 ]; +* +* // Define the array strides: +* var sx = [ 8, 8, 8, 8, 8, 8, 8, 4, 2 ]; +* +* // Define the index offset: +* var ox = 0; +* +* // Create the input ndarray-like object: +* var x = { +* 'dtype': 'complex128', +* 'data': xbuf, +* 'shape': shape, +* 'strides': sx, +* 'offset': ox, +* 'order': 'row-major' +* }; +* +* // Test elements: +* var out = any9d( x ); +* // returns true +*/ +function any9d( x ) { + var xbuf; + var dx0; + var dx1; + var dx2; + var dx3; + var dx4; + var dx5; + var dx6; + var dx7; + var dx8; + var sh; + var S0; + var S1; + var S2; + var S3; + var S4; + var S5; + var S6; + var S7; + var S8; + var sx; + var ix; + var i0; + var i1; + var i2; + var i3; + var i4; + var i5; + var i6; + var i7; + var i8; + + // Note on variable naming convention: S#, dx#, dy#, 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; + if ( strides2order( sx ) === 1 ) { + // For row-major ndarrays, the last dimensions have the fastest changing indices... + S0 = sh[ 8 ]; + S1 = sh[ 7 ]; + S2 = sh[ 6 ]; + S3 = sh[ 5 ]; + S4 = sh[ 4 ]; + S5 = sh[ 3 ]; + S6 = sh[ 2 ]; + S7 = sh[ 1 ]; + S8 = sh[ 0 ]; + dx0 = sx[ 8 ]; // offset increment for innermost loop + dx1 = sx[ 7 ] - ( S0*sx[8] ); + dx2 = sx[ 6 ] - ( S1*sx[7] ); + dx3 = sx[ 5 ] - ( S2*sx[6] ); + dx4 = sx[ 4 ] - ( S3*sx[5] ); + dx5 = sx[ 3 ] - ( S4*sx[4] ); + dx6 = sx[ 2 ] - ( S5*sx[3] ); + dx7 = sx[ 1 ] - ( S6*sx[2] ); + dx8 = sx[ 0 ] - ( S7*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 ]; + S3 = sh[ 3 ]; + S4 = sh[ 4 ]; + S5 = sh[ 5 ]; + S6 = sh[ 6 ]; + S7 = sh[ 7 ]; + S8 = sh[ 8 ]; + dx0 = sx[ 0 ]; // offset increment for innermost loop + dx1 = sx[ 1 ] - ( S0*sx[0] ); + dx2 = sx[ 2 ] - ( S1*sx[1] ); + dx3 = sx[ 3 ] - ( S2*sx[2] ); + dx4 = sx[ 4 ] - ( S3*sx[3] ); + dx5 = sx[ 5 ] - ( S4*sx[4] ); + dx6 = sx[ 6 ] - ( S5*sx[5] ); + dx7 = sx[ 7 ] - ( S6*sx[6] ); + dx8 = sx[ 8 ] - ( S7*sx[7] ); // offset increment for outermost loop + } + // 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 ( i8 = 0; i8 < S8; i8++ ) { + for ( i7 = 0; i7 < S7; i7++ ) { + for ( i6 = 0; i6 < S6; i6++ ) { + for ( i5 = 0; i5 < S5; i5++ ) { + for ( i4 = 0; i4 < S4; i4++ ) { + for ( i3 = 0; i3 < S3; i3++ ) { + for ( i2 = 0; i2 < S2; i2++ ) { + for ( i1 = 0; i1 < S1; i1++ ) { + for ( i0 = 0; i0 < S0; i0++ ) { + if ( ( xbuf[ ix ] || xbuf[ ix+1 ] ) ) { + return true; + } + ix += dx0; + } + ix += dx1; + } + ix += dx2; + } + ix += dx3; + } + ix += dx4; + } + ix += dx5; + } + ix += dx6; + } + ix += dx7; + } + ix += dx8; + } + return false; +} + + +// EXPORTS // + +module.exports = any9d; From be61cc989a9a994076230cd781f048910020fe09 Mon Sep 17 00:00:00 2001 From: Muhammad Haris <101793258+headlessNode@users.noreply.github.com> Date: Thu, 17 Jul 2025 18:40:39 +0000 Subject: [PATCH 3/4] test: add tests upto 10d --- 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: na - task: lint_package_json status: na - task: lint_repl_help status: na - task: lint_javascript_src status: na - task: lint_javascript_cli status: na - task: lint_javascript_examples status: na - task: lint_javascript_tests status: passed - task: lint_javascript_benchmarks status: na - 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: na - task: lint_typescript_tests status: na - task: lint_license_headers status: passed --- --- .../@stdlib/ndarray/base/any/test/test.10d.js | 2949 +++++++++++++++++ .../@stdlib/ndarray/base/any/test/test.4d.js | 1569 +++++++++ .../@stdlib/ndarray/base/any/test/test.5d.js | 1755 ++++++++++ .../@stdlib/ndarray/base/any/test/test.6d.js | 1941 +++++++++++ .../@stdlib/ndarray/base/any/test/test.7d.js | 2127 ++++++++++++ .../@stdlib/ndarray/base/any/test/test.8d.js | 2340 +++++++++++++ .../@stdlib/ndarray/base/any/test/test.9d.js | 2649 +++++++++++++++ 7 files changed, 15330 insertions(+) create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/test/test.10d.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/test/test.4d.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/test/test.5d.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/test/test.6d.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/test/test.7d.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/test/test.8d.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/test/test.9d.js diff --git a/lib/node_modules/@stdlib/ndarray/base/any/test/test.10d.js b/lib/node_modules/@stdlib/ndarray/base/any/test/test.10d.js new file mode 100644 index 000000000000..f2fdfe17007e --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/test/test.10d.js @@ -0,0 +1,2949 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var tape = require( 'tape' ); +var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +var zeros = require( '@stdlib/array/zeros' ); +var ones = require( '@stdlib/array/ones' ); +var numel = require( '@stdlib/ndarray/base/numel' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var strides2offset = require( '@stdlib/ndarray/base/strides2offset' ); +var ndarray = require( '@stdlib/ndarray/ctor' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); +var any = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof any, 'function', 'main export is a function'); + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ -8, -8, -8, -8, -8, -8, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 16, 16, -8, -4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2, 1, 1, 2, 1, 2, 1, 1, 2 ]; + st = [ 32, 16, 16, -16, 8, 8, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 2, 1, 2, 1, 2, 1, 1, 2 ]; + st = [ bsize*64, 32, 16, -16, 8, 8, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 2, bsize*2, 2, 1, 1, 2, 1, 1, 2 ]; + st = [ bsize*64, bsize*32, 16, -8, 8, 8, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 2, 1, 2, 1, 1, 2 ]; + st = [ bsize*64, bsize*64, bsize*32, -16, 8, 8, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 2, bsize*2, 2, 1, 1, 1, 2 ]; + st = [ bsize*32, bsize*32, bsize*32, -bsize*16, 8, 4, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 1, 2, bsize*2, 2, 1, 1, 2 ]; + st = [ bsize*32, bsize*32, bsize*32, -bsize*32, bsize*16, 8, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 2, bsize*2, 2, 1, 2 ]; + st = [ + bsize*64, + bsize*64, + bsize*32, + -bsize*32, + bsize*32, + bsize*16, + -8, + 4, + 4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 1, 2, bsize*2, 2, 2 ]; + st = [ + bsize*64, + bsize*64, + bsize*32, + -bsize*32, + bsize*32, + bsize*32, + -bsize*16, + 8, + 4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, 2, bsize*2, 2 ]; + st = [ + bsize*64, + bsize*64, + bsize*32, + -bsize*32, + bsize*16, + bsize*16, + -bsize*16, + bsize*8, + 4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, 1, 2, bsize*2 ]; + st = [ + bsize*32, + bsize*32, + bsize*16, + -bsize*16, + bsize*8, + bsize*8, + -bsize*8, + bsize*8, + bsize*4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ -8, -8, -8, -8, -8, -8, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, -16, 16, -8, -4, -2, 1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2, 1, 1, 2, 1, 2, 1, 1, 2 ]; + st = [ 32, 16, 16, -16, 8, 8, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 2, 1, 2, 1, 2, 1, 1, 2 ]; + st = [ bsize*64, 32, 16, -16, 8, 8, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 2, bsize*2, 2, 1, 1, 2, 1, 1, 2 ]; + st = [ bsize*64, bsize*32, 16, -8, 8, 8, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 2, 1, 2, 1, 1, 2 ]; + st = [ bsize*64, bsize*64, bsize*32, -16, 8, 8, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 2, bsize*2, 2, 1, 1, 1, 2 ]; + st = [ bsize*32, bsize*32, bsize*32, -bsize*16, 8, 4, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 1, 2, bsize*2, 2, 1, 1, 2 ]; + st = [ bsize*32, bsize*32, bsize*32, -bsize*32, bsize*16, 8, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 2, bsize*2, 2, 1, 2 ]; + st = [ + bsize*64, + bsize*64, + bsize*32, + -bsize*32, + bsize*32, + bsize*16, + -8, + 4, + 4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 1, 2, bsize*2, 2, 2 ]; + st = [ + bsize*64, + bsize*64, + bsize*32, + -bsize*32, + bsize*32, + bsize*32, + -bsize*16, + 8, + 4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, 2, bsize*2, 2 ]; + st = [ + bsize*64, + bsize*64, + bsize*32, + -bsize*32, + bsize*16, + bsize*16, + -bsize*16, + bsize*8, + 4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, 1, 2, bsize*2 ]; + st = [ + bsize*32, + bsize*32, + bsize*16, + -bsize*16, + bsize*8, + bsize*8, + -bsize*8, + bsize*8, + bsize*4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ -8, -8, -8, -8, -8, -8, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, -16, 16, -8, -4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2, 1, 1, 2, 1, 2, 1, 1, 2 ]; + st = [ 32, 16, 16, -16, 8, 8, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 2, 1, 2, 1, 2, 1, 1, 2 ]; + st = [ bsize*64, 32, 16, -16, 8, 8, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 2, bsize*2, 2, 1, 1, 2, 1, 1, 2 ]; + st = [ bsize*64, bsize*32, 16, -8, 8, 8, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 2, 1, 2, 1, 1, 2 ]; + st = [ bsize*64, bsize*64, bsize*32, -16, 8, 8, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 2, bsize*2, 2, 1, 1, 1, 2 ]; + st = [ bsize*32, bsize*32, bsize*32, -bsize*16, 8, 4, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 1, 2, bsize*2, 2, 1, 1, 2 ]; + st = [ bsize*32, bsize*32, bsize*32, -bsize*32, bsize*16, 8, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 2, bsize*2, 2, 1, 2 ]; + st = [ + bsize*64, + bsize*64, + bsize*32, + -bsize*32, + bsize*32, + bsize*16, + -8, + 4, + 4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 1, 2, bsize*2, 2, 2 ]; + st = [ + bsize*64, + bsize*64, + bsize*32, + -bsize*32, + bsize*32, + bsize*32, + -bsize*16, + 8, + 4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, 2, bsize*2, 2 ]; + st = [ + bsize*64, + bsize*64, + bsize*32, + -bsize*32, + bsize*16, + bsize*16, + -bsize*16, + bsize*8, + 4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, 1, 2, bsize*2 ]; + st = [ + bsize*32, + bsize*32, + bsize*16, + -bsize*16, + bsize*8, + bsize*8, + -bsize*8, + bsize*8, + bsize*4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ -1, -1, -1, -1, -1, -1, -1, -2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 2, 2, -2, -4, 8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2, 1, 1, 2, 1, 2, 1, 1, 2 ]; + st = [ + 2, + bsize*4, + bsize*8, + -bsize*8, + bsize*8, + bsize*16, + bsize*16, + -bsize*32, + bsize*32, + bsize*32 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 2, 1, 2, 1, 2, 1, 1, 2 ]; + st = [ + 2, + 4, + bsize*8, + bsize*16, + bsize*16, + bsize*32, + bsize*32, + bsize*64, + bsize*64, + bsize*64 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 2, bsize*2, 2, 1, 1, 2, 1, 1, 2 ]; + st = [ + 2, + 4, + 8, + bsize*16, + bsize*32, + bsize*32, + bsize*32, + bsize*64, + bsize*64, + bsize*64 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 2, 1, 2, 1, 1, 2 ]; + st = [ + 2, + 4, + 4, + 8, + bsize*16, + bsize*32, + bsize*32, + bsize*64, + bsize*64, + bsize*64 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 2, bsize*2, 2, 1, 1, 1, 2 ]; + st = [ 2, 4, 4, 4, 8, bsize*16, bsize*32, bsize*32, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 1, 2, bsize*2, 2, 1, 1, 2 ]; + st = [ 2, 4, 4, 4, 4, 8, bsize*16, bsize*32, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 2, bsize*2, 2, 1, 2 ]; + st = [ 2, 4, 4, 8, 8, 8, 16, bsize*32, bsize*64, bsize*64 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 2, bsize*2, 2, 1 ]; + st = [ 2, 4, 4, 8, 8, 16, 16, 32, bsize*64, bsize*128 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, 2, bsize*2, 2 ]; + st = [ 2, 4, 4, 8, 8, 16, 16, 16, 32, bsize*64 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, 1, 2, bsize*2 ]; + st = [ 2, 4, 4, 8, 8, 16, -16, 16, 16, 32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2, 1 ]; + st = [ -1, -1, -1, -1, -1, -1, -2, -4, -4, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, -2, 2, -2, 2, 2, -4, -8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2, 1, 1, 2, 1, 2, 1, 1, 2 ]; + st = [ + 2, + bsize*4, + bsize*8, + -bsize*8, + bsize*8, + bsize*16, + bsize*16, + -bsize*32, + bsize*32, + bsize*32 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 2, 1, 2, 1, 2, 1, 1, 2 ]; + st = [ + 2, + 4, + bsize*8, + bsize*16, + bsize*16, + bsize*32, + bsize*32, + bsize*64, + bsize*64, + bsize*64 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 2, bsize*2, 2, 1, 1, 2, 1, 1, 2 ]; + st = [ + 2, + 4, + 8, + bsize*16, + bsize*32, + bsize*32, + bsize*32, + bsize*64, + bsize*64, + bsize*64 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 2, 1, 2, 1, 1, 2 ]; + st = [ + 2, + 4, + 4, + 8, + bsize*16, + bsize*32, + bsize*32, + bsize*64, + bsize*64, + bsize*64 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 2, bsize*2, 2, 1, 1, 1, 2 ]; + st = [ 2, 4, 4, 4, 8, bsize*16, bsize*32, bsize*32, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 1, 2, bsize*2, 2, 1, 1, 2 ]; + st = [ 2, 4, 4, 4, 4, 8, bsize*16, bsize*32, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 2, bsize*2, 2, 1, 2 ]; + st = [ 2, 4, 4, 8, 8, 8, 16, bsize*32, bsize*64, bsize*64 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 2, bsize*2, 2, 1 ]; + st = [ 2, 4, 4, 8, 8, 16, 16, 32, bsize*64, bsize*128 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, 2, bsize*2, 2 ]; + st = [ 2, 4, 4, 8, 8, 16, 16, 16, 32, bsize*64 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, 1, 2, bsize*2 ]; + st = [ 2, 4, 4, 8, 8, 16, -16, 16, 16, 32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2, 1 ]; + st = [ -1, -1, -1, -1, -1, -1, -2, -4, -4, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, -2, 2, -2, 2, 2, -4, -8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2, 1, 1, 2, 1, 2, 1, 1, 2 ]; + st = [ + 2, + bsize*4, + bsize*8, + -bsize*8, + bsize*8, + bsize*16, + bsize*16, + -bsize*32, + bsize*32, + bsize*32 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 2, 1, 2, 1, 2, 1, 1, 2 ]; + st = [ + 2, + 4, + bsize*8, + bsize*16, + bsize*16, + bsize*32, + bsize*32, + bsize*64, + bsize*64, + bsize*64 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 2, bsize*2, 2, 1, 1, 2, 1, 1, 2 ]; + st = [ + 2, + 4, + 8, + bsize*16, + bsize*32, + bsize*32, + bsize*32, + bsize*64, + bsize*64, + bsize*64 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 2, 1, 2, 1, 1, 2 ]; + st = [ + 2, + 4, + 4, + 8, + bsize*16, + bsize*32, + bsize*32, + bsize*64, + bsize*64, + bsize*64 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 2, bsize*2, 2, 1, 1, 1, 2 ]; + st = [ 2, 4, 4, 4, 8, bsize*16, bsize*32, bsize*32, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 1, 2, bsize*2, 2, 1, 1, 2 ]; + st = [ 2, 4, 4, 4, 4, 8, bsize*16, bsize*32, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 2, bsize*2, 2, 1, 2 ]; + st = [ 2, 4, 4, 8, 8, 8, 16, bsize*32, bsize*64, bsize*64 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 2, bsize*2, 2, 1 ]; + st = [ 2, 4, 4, 8, 8, 16, 16, 32, bsize*64, bsize*128 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, 2, bsize*2, 2 ]; + st = [ 2, 4, 4, 8, 8, 16, 16, 16, 32, bsize*64 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 10-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, 1, 2, bsize*2 ]; + st = [ 2, 4, 4, 8, 8, 16, -16, 16, 16, 32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/ndarray/base/any/test/test.4d.js b/lib/node_modules/@stdlib/ndarray/base/any/test/test.4d.js new file mode 100644 index 000000000000..944a07665a80 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/test/test.4d.js @@ -0,0 +1,1569 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var tape = require( 'tape' ); +var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +var zeros = require( '@stdlib/array/zeros' ); +var ones = require( '@stdlib/array/ones' ); +var numel = require( '@stdlib/ndarray/base/numel' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var strides2offset = require( '@stdlib/ndarray/base/strides2offset' ); +var ndarray = require( '@stdlib/ndarray/ctor' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); +var any = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof any, 'function', 'main export is a function'); + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (row-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (row-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (row-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (row-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1 ]; + st = [ -2, -2, -1, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1 ]; + st = [ 4, 4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1 ]; + st = [ 4, -4, -2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1 ]; + st = [ -4, -4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, bsize*2, 2, 1 ]; + st = [ -bsize*8, -4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, bsize*2, 1 ]; + st = [ bsize*8, bsize*4, -2, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, 1, bsize*2 ]; + st = [ bsize*8, bsize*4, -bsize*4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (row-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (row-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 2, 1, 2 ]; + st = [ -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1 ]; + st = [ 4, 4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1 ]; + st = [ 4, -4, -2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1 ]; + st = [ -4, -4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, bsize*2, 2, 1 ]; + st = [ -bsize*8, -4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, bsize*2, 1 ]; + st = [ -bsize*4, -bsize*4, -2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2 ]; + st = [ -bsize*4, -bsize*4, bsize*4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (row-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (row-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 2, 1, 2 ]; + st = [ -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1 ]; + st = [ 4, 4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 8, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 8, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1 ]; + st = [ 4, -4, -2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 8, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 8, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1 ]; + st = [ -4, -4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, bsize*2, 2, 1 ]; + st = [ -bsize*8, -4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1 ]; + st = [ bsize*4, bsize*4, -2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2 ]; + st = [ bsize*4, bsize*4, bsize*4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (column-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (column-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (column-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (column-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 2, 1, 2 ]; + st = [ -1, -2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1 ]; + st = [ 2, 4, 4, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1 ]; + st = [ 2, -4, -4, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, 1, bsize*2 ]; + st = [ 2, 2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, bsize*2, 1 ]; + st = [ 2, -2, -4, -bsize*4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 1, bsize*2, 1, 2 ]; + st = [ 2, 2, -bsize*4, -bsize*4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 1, 2 ]; + st = [ 2, -bsize*4, bsize*4, -bsize*4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (column-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (column-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 2, 1, 2 ]; + st = [ -1, -2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1 ]; + st = [ 2, 4, 4, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1 ]; + st = [ 2, 4, -4, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 8, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1 ]; + st = [ 2, -bsize*4, -bsize*4, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1 ]; + st = [ 1, 2, -bsize*4, -bsize*4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1 ]; + st = [ 2, 4, -4, -bsize*4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*4 ]; + st = [ 2, 4, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (column-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (column-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 2, 1, 2 ]; + st = [ -1, -2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1 ]; + st = [ 2, 4, 4, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 8, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 8, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1 ]; + st = [ 2, -4, -4, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 8, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 8, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, 1, bsize*2 ]; + st = [ 2, 2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, bsize*2, 1 ]; + st = [ 2, 2, -4, -bsize*4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 1, bsize*2, 1, 2 ]; + st = [ 2, 2, -bsize*4, -bsize*4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 4-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 1, 2 ]; + st = [ 2, -bsize*4, bsize*4, -bsize*4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/ndarray/base/any/test/test.5d.js b/lib/node_modules/@stdlib/ndarray/base/any/test/test.5d.js new file mode 100644 index 000000000000..192be4bb1c59 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/test/test.5d.js @@ -0,0 +1,1755 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var tape = require( 'tape' ); +var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +var zeros = require( '@stdlib/array/zeros' ); +var ones = require( '@stdlib/array/ones' ); +var numel = require( '@stdlib/ndarray/base/numel' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var strides2offset = require( '@stdlib/ndarray/base/strides2offset' ); +var ndarray = require( '@stdlib/ndarray/ctor' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); +var any = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof any, 'function', 'main export is a function'); + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 2, 1, 2, 2 ]; + st = [ -8, -4, -4, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ 8, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ 8, 8, -4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2 ]; + st = [ 8, -8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 2 ]; + st = [ bsize*8, -4, 4, -4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2 ]; + st = [ bsize*8, bsize*8, -4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 1 ]; + st = [ bsize*8, bsize*8, -bsize*4, -2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2 ]; + st = [ bsize*8, -bsize*8, -bsize*4, -bsize*4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ -4, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ 8, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ 8, 8, -4, -4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2 ]; + st = [ 8, -8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 2 ]; + st = [ -bsize*8, -4, 4, -4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2 ]; + st = [ bsize*8, bsize*8, -4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 2 ]; + st = [ bsize*8, -bsize*8, -bsize*8, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2 ]; + st = [ bsize*8, -bsize*8, -bsize*4, -bsize*4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ -4, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ 8, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ 8, 8, -4, -4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2 ]; + st = [ 8, -8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 2 ]; + st = [ -bsize*8, -4, 4, -4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2 ]; + st = [ bsize*8, bsize*8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 2 ]; + st = [ bsize*8, -bsize*8, -bsize*8, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2 ]; + st = [ bsize*8, -bsize*8, -bsize*4, -bsize*4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 2, 1, 2, 2 ]; + st = [ -1, -2, -4, -4, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ 2, 4, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ 2, -4, -4, -8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2 ]; + st = [ -2, bsize*4, -bsize*4, bsize*8, bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 2 ]; + st = [ -2, 4, -bsize*8, bsize*8, bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2 ]; + st = [ -2, 4, -4, bsize*8, bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 2 ]; + st = [ -2, 4, -4, 4, bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2 ]; + st = [ -2, 4, -4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ -1, -2, -2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ 2, 4, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ 2, 4, -4, -8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2 ]; + st = [ -2, bsize*4, -bsize*4, bsize*8, bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 2, 1, 1 ]; + st = [ -2, 4, -bsize*8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2 ]; + st = [ -2, 4, -4, bsize*8, bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 2 ]; + st = [ -2, -4, -4, 4, bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2 ]; + st = [ 2, 4, -4, 8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ -1, -2, -2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ 2, 4, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2 ]; + st = [ 2, -4, -4, -8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2 ]; + st = [ -2, bsize*4, -bsize*4, bsize*8, bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 2, 1, 1 ]; + st = [ -2, 4, -bsize*8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2 ]; + st = [ -2, 4, -4, bsize*8, bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 2 ]; + st = [ -2, -4, -4, 4, bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 5-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2 ]; + st = [ 2, 4, -4, 8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/ndarray/base/any/test/test.6d.js b/lib/node_modules/@stdlib/ndarray/base/any/test/test.6d.js new file mode 100644 index 000000000000..14a118281a52 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/test/test.6d.js @@ -0,0 +1,1941 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var tape = require( 'tape' ); +var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +var zeros = require( '@stdlib/array/zeros' ); +var ones = require( '@stdlib/array/ones' ); +var numel = require( '@stdlib/ndarray/base/numel' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var strides2offset = require( '@stdlib/ndarray/base/strides2offset' ); +var ndarray = require( '@stdlib/ndarray/ctor' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); +var any = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof any, 'function', 'main export is a function'); + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ -8, -8, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ 16, -16, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 1, 2 ]; + st = [ 8, -8, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 1, 2 ]; + st = [ bsize*8, -4, -4, 4, 4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 1, 2 ]; + st = [ bsize*8, bsize*8, -4, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 1, 2 ]; + st = [ bsize*8, bsize*8, -bsize*8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 1, bsize*2, 2 ]; + st = [ bsize*8, -bsize*8, -bsize*8, -bsize*8, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2 ]; + st = [ bsize*8, -bsize*8, -bsize*4, bsize*4, bsize*4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ -8, -8, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ 16, -16, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 1, 2 ]; + st = [ 8, -8, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 1, 2 ]; + st = [ -bsize*8, -4, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 1, 2 ]; + st = [ bsize*8, bsize*8, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 1, 2 ]; + st = [ bsize*8, -bsize*8, -bsize*8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 1, bsize*2, 2 ]; + st = [ bsize*8, -bsize*8, -bsize*8, -bsize*8, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2 ]; + st = [ bsize*8, -bsize*8, -bsize*4, -bsize*4, bsize*4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ -8, -8, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 8, -4, -4, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 1, 2 ]; + st = [ 8, -8, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 1, 2 ]; + st = [ -bsize*8, -4, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 1, 2 ]; + st = [ bsize*8, bsize*8, -4, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 1, 2 ]; + st = [ bsize*8, -bsize*8, -bsize*8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 1, bsize*2, 2 ]; + st = [ bsize*8, -bsize*8, -bsize*8, -bsize*8, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2 ]; + st = [ bsize*8, -bsize*8, -bsize*4, -bsize*4, bsize*4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ -1, -1, -1, -2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ 2, -2, 2, -4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 1, 2, 1, 2 ]; + st = [ 2, bsize*4, bsize*4, -bsize*4, bsize*8, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 1, 2 ]; + st = [ 2, 4, bsize*8, -bsize*8, bsize*8, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 1, 2 ]; + st = [ 2, 4, 4, -bsize*8, bsize*8, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 1, 2 ]; + st = [ 2, 4, 4, -4, bsize*8, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 2, bsize*2, 1 ]; + st = [ 2, 4, 4, -4, 8, -bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2 ]; + st = [ 2, 4, 4, -8, 8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ -1, -1, -1, -2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, -4, -8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 1, 2 ]; + st = [ 2, bsize*4, bsize*4, -bsize*8, bsize*8, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 1, 2 ]; + st = [ 2, 4, bsize*8, -bsize*8, bsize*8, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 1, 2 ]; + st = [ 2, 4, 4, -bsize*8, bsize*8, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 1, 2 ]; + st = [ 2, 4, 4, -4, bsize*8, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 2, bsize*2, 1 ]; + st = [ 2, 4, 4, -4, 8, -bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2 ]; + st = [ 2, 4, 4, -8, 8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ -1, -1, -1, -2, -4, -4 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, -4, -8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 1, 2 ]; + st = [ 2, bsize*4, bsize*4, -bsize*8, bsize*8, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 1, 2 ]; + st = [ 2, 4, bsize*8, -bsize*8, bsize*8, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 1, 2 ]; + st = [ 2, 4, 4, -bsize*8, bsize*8, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 1, 2 ]; + st = [ 2, 4, 4, -4, bsize*8, -bsize*8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 2, bsize*2, 1 ]; + st = [ 2, 4, 4, -4, 8, -bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 6-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2 ]; + st = [ 2, 4, 4, -8, 8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/ndarray/base/any/test/test.7d.js b/lib/node_modules/@stdlib/ndarray/base/any/test/test.7d.js new file mode 100644 index 000000000000..337a5acedcaf --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/test/test.7d.js @@ -0,0 +1,2127 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var tape = require( 'tape' ); +var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +var zeros = require( '@stdlib/array/zeros' ); +var ones = require( '@stdlib/array/ones' ); +var numel = require( '@stdlib/ndarray/base/numel' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var strides2offset = require( '@stdlib/ndarray/base/strides2offset' ); +var ndarray = require( '@stdlib/ndarray/ctor' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); +var any = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof any, 'function', 'main export is a function'); + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = [ -8, -8, -8, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, -16, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2 ]; + st = [ 16, -16, 8, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 2, 1, 1, 2 ]; + st = [ bsize*16, -8, 8, 4, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2 ]; + st = [ bsize*16, -bsize*16, 8, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 1, 1, 2 ]; + st = [ bsize*16, -bsize*16, bsize*8, 4, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2 ]; + st = [ bsize*16, -bsize*16, bsize*8, bsize*8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2, 2 ]; + st = [ bsize*16, -bsize*16, -bsize*8, bsize*8, bsize*8, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2 ]; + st = [ bsize*16, -bsize*16, -bsize*8, bsize*8, bsize*4, bsize*4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1, 2, 1, 2 ]; + st = [ -8, -8, -4, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = [ -16, 16, -16, -8, -4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2 ]; + st = [ 16, -16, 8, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 2, 1, 2 ]; + st = [ bsize*16, -8, 8, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2 ]; + st = [ bsize*16, bsize*16, 8, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 1, 1, 2 ]; + st = [ bsize*16, -bsize*16, -bsize*8, 4, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2 ]; + st = [ bsize*16, -bsize*16, bsize*8, bsize*8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 2, 1, bsize*2, 2 ]; + st = [ bsize*16, -bsize*16, -bsize*16, -bsize*8, bsize*8, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2 ]; + st = [ bsize*16, -bsize*16, bsize*8, bsize*8, bsize*4, bsize*4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 2, 1, 2, 1, 2, 1, 2 ]; + st = [ -8, -8, -4, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = [ -16, 16, -16, 8, -4, -2, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2 ]; + st = [ 16, -16, 8, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 2, 1, 2 ]; + st = [ -bsize*16, -8, 8, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2 ]; + st = [ bsize*16, -bsize*16, -8, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 1, 1, 2 ]; + st = [ bsize*16, -bsize*16, bsize*8, 4, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2 ]; + st = [ bsize*16, -bsize*16, -bsize*8, -bsize*8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 2, 1, bsize*2, 2 ]; + st = [ bsize*16, -bsize*16, bsize*16, bsize*8, -bsize*8, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2 ]; + st = [ bsize*16, -bsize*16, bsize*8, bsize*8, -bsize*4, bsize*4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2, 1, 2 ]; + st = [ -1, -2, -2, -4, -4, -8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, -2, 2, -4, 8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2 ]; + st = [ 2, -bsize*4, bsize*4, bsize*8, bsize*8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 2, 1, 2, 1 ]; + st = [ 2, -4, bsize*8, -bsize*8, bsize*16, -bsize*16, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2 ]; + st = [ 2, -4, -4, bsize*8, bsize*8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 2, 1, 2 ]; + st = [ 2, -4, -4, 4, bsize*8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2 ]; + st = [ 2, -4, -4, 8, 8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2, 2 ]; + st = [ 2, -4, -4, 8, 8, 8, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2 ]; + st = [ 2, -4, -4, 8, 8, 16, 16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2, 1, 2 ]; + st = [ -1, -2, -2, -4, -4, -8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, -2, -4, -8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2 ]; + st = [ 2, bsize*4, bsize*4, -bsize*8, bsize*8, -bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 2, 1, 2 ]; + st = [ 2, 4, -bsize*8, bsize*8, bsize*8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2 ]; + st = [ 2, -4, 4, -bsize*8, bsize*8, -bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 1, 2, 2 ]; + st = [ 2, -4, -4, 4, bsize*8, bsize*8, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2 ]; + st = [ 2, -4, -4, 8, 8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2, 2 ]; + st = [ 2, -4, -4, 8, 8, 8, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2 ]; + st = [ 2, -4, -4, 8, 8, 16, 16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 1, 2, 1, 2, 1, 2 ]; + st = [ -1, -2, -2, -4, -4, -8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, -4, -8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 2, 1, 2 ]; + st = [ 2, -bsize*4, -bsize*4, bsize*8, bsize*8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 2, 1, 2 ]; + st = [ 2, -4, -bsize*8, bsize*8, bsize*8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 1, 2, 1, 2 ]; + st = [ 2, -4, -4, bsize*8, bsize*8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 1, 2, 2 ]; + st = [ 2, -4, -4, 4, bsize*8, bsize*8, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 1, 2 ]; + st = [ 2, -4, -4, 8, 8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2, 2 ]; + st = [ 2, -4, -4, 8, 8, 8, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 7-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, bsize*2 ]; + st = [ 2, -4, -4, 8, 8, 16, 16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/ndarray/base/any/test/test.8d.js b/lib/node_modules/@stdlib/ndarray/base/any/test/test.8d.js new file mode 100644 index 000000000000..03a4689b1901 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/test/test.8d.js @@ -0,0 +1,2340 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var tape = require( 'tape' ); +var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +var zeros = require( '@stdlib/array/zeros' ); +var ones = require( '@stdlib/array/ones' ); +var numel = require( '@stdlib/ndarray/base/numel' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var strides2offset = require( '@stdlib/ndarray/base/strides2offset' ); +var ndarray = require( '@stdlib/ndarray/ctor' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); +var any = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof any, 'function', 'main export is a function'); + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ -8, -8, -8, -8, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, -16, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2, 2, 1, 1, 2, 1, 2 ]; + st = [ 32, -16, 8, -8, -8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 2, 1, 1, 2, 1, 2 ]; + st = [ -bsize*32, -16, 8, -8, -8, 4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 2, 1, 2, 1, 2 ]; + st = [ -bsize*32, -bsize*32, 16, -8, -8, 4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 2, 2, 1, 2 ]; + st = [ -bsize*32, -bsize*32, bsize*32, -16, -8, 4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 2, 1, 2 ]; + st = [ -bsize*32, -bsize*32, bsize*16, -bsize*16, -8, 4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2, 2, 2 ]; + st = [ -bsize*32, -bsize*32, -bsize*16, -bsize*16, -bsize*16, 8, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 1, bsize*2, 2 ]; + st = [ -bsize*16, -bsize*16, -bsize*8, bsize*8, bsize*8, bsize*8, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 2, 1, bsize*2 ]; + st = [ + -bsize*16, + -bsize*16, + -bsize*8, + bsize*8, + bsize*8, + bsize*4, + bsize*4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ -8, -8, -8, -8, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, -16, 16, -16, -8, -4, 2, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2, 2, 1, 1, 2, 1, 2 ]; + st = [ 32, 16, 8, -8, -8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 2, 1, 1, 2, 1, 2 ]; + st = [ -bsize*32, -16, 8, -8, -8, 4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 2, 1, 2, 1, 2 ]; + st = [ bsize*32, bsize*32, 16, 8, -8, 4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 2, 2, 1, 2 ]; + st = [ bsize*32, -bsize*32, -bsize*32, -16, -8, 4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 2, 1, 2 ]; + st = [ bsize*32, -bsize*32, bsize*16, -bsize*16, -8, 4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2, 2, 2 ]; + st = [ bsize*32, -bsize*32, -bsize*16, -bsize*16, bsize*16, 8, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 1, bsize*2, 2 ]; + st = [ -bsize*16, -bsize*16, bsize*8, -bsize*8, -bsize*8, bsize*8, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 2, 1, bsize*2 ]; + st = [ + -bsize*16, + -bsize*16, + bsize*8, + -bsize*8, + -bsize*8, + bsize*4, + bsize*4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ -8, -8, -8, -8, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, -16, 16, -16, 8, -4, -2, -2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2, 2, 1, 1, 2, 1, 2 ]; + st = [ 32, 16, 8, -8, -8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 2, 1, 1, 2, 1, 2 ]; + st = [ -bsize*32, -16, 8, -8, -8, 4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, bsize*2, 2, 1, 2, 1, 2 ]; + st = [ -bsize*32, -bsize*32, 16, -8, -8, 4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, bsize*2, 2, 2, 1, 2 ]; + st = [ -bsize*32, bsize*32, -bsize*32, -16, -8, 4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, bsize*2, 2, 1, 2 ]; + st = [ -bsize*32, -bsize*32, -bsize*16, -bsize*16, -8, 4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, bsize*2, 2, 2 ]; + st = [ -bsize*32, -bsize*32, bsize*16, bsize*16, -bsize*16, 8, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 1, bsize*2, 2 ]; + st = [ -bsize*16, -bsize*16, bsize*8, bsize*8, -bsize*8, bsize*8, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 2, 1, bsize*2 ]; + st = [ + -bsize*16, + -bsize*16, + bsize*8, + bsize*8, + -bsize*8, + bsize*4, + -bsize*4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2, 1 ]; + st = [ -1, -1, -1, -1, -2, -4, -4, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, -2, 2, -4, 8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 1, 2, 1, 2 ]; + st = [ 2, -bsize*4, bsize*4, bsize*8, bsize*8, bsize*8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 1, 2, 1, 2 ]; + st = [ 2, -4, bsize*8, -bsize*8, bsize*8, bsize*8, -bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 2, bsize*2, 1, 1, 2, 1, 2 ]; + st = [ 2, 4, 8, bsize*16, bsize*16, bsize*16, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 1, 2, 1, 2 ]; + st = [ 2, 4, 4, 8, bsize*16, bsize*16, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 2, bsize*2, 1, 1, 2 ]; + st = [ 2, 4, 4, 8, 16, bsize*32, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, bsize*2, 1, 2 ]; + st = [ 2, -4, -4, 8, 8, 16, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 2, bsize*2, 2 ]; + st = [ 2, 4, 4, 8, 8, 8, 16, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 2, 2, bsize*2 ]; + st = [ 2, 4, 4, 8, 8, 8, 16, 32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2, 1 ]; + st = [ -1, -1, -1, -1, -2, -4, -4, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ -2, 2, -2, 2, 2, -4, -8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 1, 2, 1, 2 ]; + st = [ 2, bsize*4, bsize*4, -bsize*8, bsize*8, bsize*8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 1, 2, 1, 2 ]; + st = [ 2, -4, -bsize*8, bsize*8, bsize*8, bsize*8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 2, bsize*2, 1, 1, 2, 1, 2 ]; + st = [ 2, 4, 8, -bsize*16, bsize*16, -bsize*16, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 1, 2, 1, 2 ]; + st = [ 2, 4, 4, 8, bsize*16, bsize*16, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 2, bsize*2, 1, 1, 2 ]; + st = [ 2, 4, 4, 8, 16, bsize*32, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, bsize*2, 1, 2 ]; + st = [ 2, 4, 4, 8, 8, 16, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 2, bsize*2, 2 ]; + st = [ 2, 4, 4, 8, 8, 8, 16, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 2, 2, bsize*2 ]; + st = [ 2, 4, 4, 8, 8, 8, 16, 32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 2, 2, 1, 2, 1 ]; + st = [ -1, -1, -1, -1, -2, -4, -4, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 2, -4, -8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 1, 2, 1, 1, 2, 1, 2 ]; + st = [ 2, -bsize*4, -bsize*4, bsize*8, bsize*8, bsize*8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 1, 1, 1, 2, 1, 2 ]; + st = [ 2, -4, bsize*8, bsize*8, bsize*8, bsize*8, bsize*16, bsize*16 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 2, bsize*2, 1, 1, 2, 1, 2 ]; + st = [ 2, -4, -8, bsize*16, bsize*16, bsize*16, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 1, 2, 1, 2 ]; + st = [ 2, -4, -4, 8, bsize*16, bsize*16, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 2, bsize*2, 1, 1, 2 ]; + st = [ 2, -4, -4, 8, 16, bsize*32, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, bsize*2, 1, 2 ]; + st = [ 2, -4, -4, 8, 8, 16, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 2, bsize*2, 2 ]; + st = [ 2, -4, -4, 8, 8, 8, 16, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 8-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 2, 2, bsize*2 ]; + st = [ 2, 4, 4, 8, 8, 8, 16, 32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/ndarray/base/any/test/test.9d.js b/lib/node_modules/@stdlib/ndarray/base/any/test/test.9d.js new file mode 100644 index 000000000000..54ca03e5e2bf --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/test/test.9d.js @@ -0,0 +1,2649 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var tape = require( 'tape' ); +var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); +var zeros = require( '@stdlib/array/zeros' ); +var ones = require( '@stdlib/array/ones' ); +var numel = require( '@stdlib/ndarray/base/numel' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var strides2offset = require( '@stdlib/ndarray/base/strides2offset' ); +var ndarray = require( '@stdlib/ndarray/ctor' ); +var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' ); +var any = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof any, 'function', 'main export is a function'); + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1, 1, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 4, 1, 1, 1, 1, 1, 1, 1, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ -8, -8, -8, -8, -8, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, -16, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2, 2, 1, 1, 2, 1, 1, 2 ]; + st = [ 32, -16, 8, -8, -8, 4, 4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 2, 1, 1, 2, 1, 1, 2 ]; + st = [ -bsize*32, -16, 8, -8, -8, 4, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 1, 2, bsize*2, 2, 1, 2, 1, 1, 2 ]; + st = [ -bsize*64, -bsize*32, 16, -8, -8, 4, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 2, 2, 1, 1, 2 ]; + st = [ bsize*64, -bsize*64, -bsize*32, 16, 8, -4, 4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 2, bsize*2, 2, 1, 1, 2 ]; + st = [ -bsize*64, -bsize*64, bsize*32, -bsize*16, -8, 4, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, bsize*2, 2, 1, 2 ]; + st = [ -bsize*64, -bsize*64, -bsize*32, -bsize*32, -bsize*16, 8, -4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 2, bsize*2, 2, 2 ]; + st = [ + -bsize*64, + -bsize*64, + -bsize*32, + bsize*32, + bsize*32, + bsize*16, + 8, + -4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 1, 2, bsize*2, 2 ]; + st = [ + -bsize*32, + -bsize*32, + -bsize*16, + bsize*16, + bsize*16, + -bsize*16, + bsize*8, + 4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, 2, bsize*2 ]; + st = [ + -bsize*32, + -bsize*32, + -bsize*16, + bsize*16, + bsize*8, + -bsize*8, + bsize*8, + bsize*4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ -8, -8, -8, -8, -8, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, -16, 16, -8, -4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2, 2, 1, 1, 2, 1, 1, 2 ]; + st = [ 32, -16, -8, 8, 8, -4, 4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 2, 1, 1, 2, 1, 1, 2 ]; + st = [ bsize*32, -16, -8, 8, 8, -4, 4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 2, bsize*2, 2, 1, 2, 1, 1, 2 ]; + st = [ bsize*64, -bsize*32, -16, 8, 8, -4, 4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 2, 2, 1, 1, 2 ]; + st = [ bsize*64, -bsize*64, -bsize*32, 16, 8, -4, 4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 2, bsize*2, 2, 1, 1, 2 ]; + st = [ bsize*64, -bsize*64, -bsize*32, bsize*16, 8, -4, 4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, bsize*2, 2, 1, 2 ]; + st = [ bsize*64, -bsize*64, -bsize*32, bsize*32, bsize*16, -8, 4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 2, bsize*2, 2, 2 ]; + st = [ + bsize*64, + -bsize*64, + -bsize*32, + bsize*32, + bsize*32, + -bsize*16, + 8, + -4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 1, 2, bsize*2, 2 ]; + st = [ + -bsize*32, + -bsize*32, + -bsize*16, + bsize*16, + bsize*16, + -bsize*16, + bsize*8, + 4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, 2, bsize*2 ]; + st = [ + -bsize*32, + -bsize*32, + -bsize*16, + bsize*16, + bsize*8, + -bsize*8, + bsize*8, + bsize*4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ -8, -8, -8, -8, -8, -4, -2, -2, -1 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, 16, 16, 8, 4, 4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 16, 16, 16, -16, 16, -8, -4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2, 2, 1, 1, 2, 1, 1, 2 ]; + st = [ 32, -16, -8, 8, 8, -4, 4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 2, 1, 1, 2, 1, 1, 2 ]; + st = [ bsize*32, -16, -8, 8, 8, -4, 4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 2, bsize*2, 2, 1, 2, 1, 1, 2 ]; + st = [ bsize*64, -bsize*32, -16, 8, 8, -4, 4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 2, 2, 1, 1, 2 ]; + st = [ bsize*64, -bsize*64, -bsize*32, 16, 8, -4, 4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 2, bsize*2, 2, 1, 1, 2 ]; + st = [ bsize*64, -bsize*64, -bsize*32, bsize*16, 8, -4, 4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, bsize*2, 2, 1, 2 ]; + st = [ bsize*64, -bsize*64, -bsize*32, bsize*32, bsize*16, -8, 4, -4, 2 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 2, bsize*2, 2, 2 ]; + st = [ + bsize*64, + -bsize*64, + -bsize*32, + bsize*32, + bsize*32, + -bsize*16, + 8, + -4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 1, 2, bsize*2, 2 ]; + st = [ + -bsize*32, + -bsize*32, + -bsize*16, + bsize*16, + bsize*16, + -bsize*16, + bsize*8, + 4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, 1, 1, 2, bsize*2 ]; + st = [ + -bsize*32, + -bsize*32, + -bsize*16, + bsize*16, + bsize*8, + -bsize*8, + bsize*8, + bsize*4, + 2 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, singleton dimensions)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, singleton dimensions, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 4 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, contiguous)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, contiguous, negative strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 2, 1, 2, 1, 1, 1, 1, 1 ]; + st = [ -1, -2, -4, -4, -8, -8, -8, -8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 2, -2, -4, 8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2, 2, 1, 1, 2, 1, 1, 2 ]; + st = [ + 2, + bsize*4, + bsize*8, + bsize*16, + bsize*16, + bsize*16, + bsize*32, + bsize*32, + bsize*32 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 2, 1, 1, 1, 1, 1, 2 ]; + st = [ + 2, + 4, + bsize*8, + bsize*16, + bsize*16, + bsize*16, + bsize*16, + bsize*16, + bsize*16 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 2, bsize*2, 2, 1, 1, 1, 1, 2 ]; + st = [ 2, 4, 8, bsize*16, bsize*32, bsize*32, bsize*32, bsize*32, bsize*32 ]; // eslint-disable-line max-len + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 2, 1, 1, 1, 2 ]; + st = [ 2, 4, 4, 8, bsize*16, bsize*32, bsize*32, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 2, bsize*2, 2, 1, 1, 2 ]; + st = [ 2, 4, 4, 4, 8, bsize*16, bsize*32, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, bsize*2, 2, 1, 2 ]; + st = [ 2, 4, 4, 8, 8, 16, bsize*32, bsize*64, bsize*64 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 2, bsize*2, 2, 2 ]; + st = [ 2, 4, 4, 8, 8, 8, 16, bsize*32, bsize*64 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 1, 2, bsize*2, 2 ]; + st = [ 2, 4, 4, 8, 8, 8, 8, 16, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 1, 2, 2, bsize*2 ]; + st = [ 2, 4, 4, 8, 8, 8, 8, 16, 32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, contiguous, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 2, 2, 1, 2, 1 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, contiguous, negative strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 2, 2, 1, 2, 1, 1, 1, 1, 1 ]; + st = [ -1, -2, -4, -4, -8, -8, -8, -8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides, complex)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, -2, 2, -2, 2, 1, -4, -8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( 16, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2, 2, 1, 1, 2, 1, 1, 2 ]; + st = [ + 2, + bsize*4, + bsize*8, + bsize*16, + bsize*16, + bsize*16, + bsize*32, + bsize*32, + bsize*32 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 2, 1, 1, 1, 1, 1, 2 ]; + st = [ + 2, + 4, + bsize*8, + bsize*16, + bsize*16, + bsize*16, + bsize*16, + bsize*16, + bsize*16 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 2, bsize*2, 2, 1, 1, 1, 1, 2 ]; + st = [ 2, 4, 8, bsize*16, bsize*32, bsize*32, bsize*32, bsize*32, bsize*32 ]; // eslint-disable-line max-len + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 2, 1, 1, 1, 2 ]; + st = [ 2, 4, 4, 8, bsize*16, bsize*32, bsize*32, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 2, bsize*2, 2, 1, 1, 2 ]; + st = [ 2, 4, 4, 4, 8, bsize*16, bsize*32, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, bsize*2, 2, 1, 2 ]; + st = [ 2, 4, 4, 8, 8, 16, bsize*32, bsize*64, bsize*64 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 2, bsize*2, 2, 2 ]; + st = [ 2, 4, 4, 8, 8, 8, 16, bsize*32, bsize*64 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 1, 2, bsize*2, 2 ]; + st = [ 2, 4, 4, 8, 8, 8, 8, 16, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 1, 2, 2, bsize*2 ]; + st = [ 2, 4, 4, 8, 8, 8, 8, 16, 32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, contiguous, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, contiguous, negative strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 2, 2, 1, 2, 1, 1, 1, 1, 1 ]; + st = [ -1, -2, -4, -4, -8, -8, -8, -8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 2, 2, 4, 8, 8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) { + var actual; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 1, 1, 1, 1, 1, 2, 2, 1, 2 ]; + st = [ 2, 2, 2, 2, 2, -2, -4, 8, -8 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord ); + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ bsize*2, 2, 2, 1, 1, 2, 1, 1, 2 ]; + st = [ + 2, + bsize*4, + bsize*8, + bsize*16, + bsize*16, + bsize*16, + bsize*32, + bsize*32, + bsize*32 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, bsize*2, 2, 1, 1, 1, 1, 1, 2 ]; + st = [ + 2, + 4, + bsize*8, + bsize*16, + bsize*16, + bsize*16, + bsize*16, + bsize*16, + bsize*16 + ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 2, bsize*2, 2, 1, 1, 1, 1, 2 ]; + st = [ 2, 4, 8, bsize*16, bsize*32, bsize*32, bsize*32, bsize*32, bsize*32 ]; // eslint-disable-line max-len + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, bsize*2, 2, 1, 1, 1, 2 ]; + st = [ 2, 4, 4, 8, bsize*16, bsize*32, bsize*32, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 1, 2, bsize*2, 2, 1, 1, 2 ]; + st = [ 2, 4, 4, 4, 8, bsize*16, bsize*32, bsize*32, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 2, bsize*2, 2, 1, 2 ]; + st = [ 2, 4, 4, 8, 8, 16, bsize*32, bsize*64, bsize*64 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 2, bsize*2, 2, 2 ]; + st = [ 2, 4, 4, 8, 8, 8, 16, bsize*32, bsize*64 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 1, 2, bsize*2, 2 ]; + st = [ 2, 4, 4, 8, 8, 8, 8, 16, bsize*32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function tests whether at least one element in a 9-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) { + var actual; + var bsize; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + + bsize = blockSize( dt ); + sh = [ 2, 1, 2, 1, 1, 1, 2, 2, bsize*2 ]; + st = [ 2, 4, 4, 8, 8, 8, 8, 16, 32 ]; + o = strides2offset( sh, st ); + + x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, false, 'returns expected value' ); + + x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len + + actual = any( [ x ] ); + t.strictEqual( actual, true, 'returns expected value' ); + + t.end(); +}); From c6cbcaf95786cbca9ecf43065296e82cb0195973 Mon Sep 17 00:00:00 2001 From: Muhammad Haris <101793258+headlessNode@users.noreply.github.com> Date: Fri, 18 Jul 2025 08:10:15 +0000 Subject: [PATCH 4/4] bench: add benchmarks upto 11d --- 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: na - task: lint_package_json status: na - task: lint_repl_help status: na - task: lint_javascript_src status: na - task: lint_javascript_cli status: na - task: lint_javascript_examples status: na - task: lint_javascript_tests status: na - 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: na - task: lint_typescript_tests status: na - task: lint_license_headers status: passed --- --- .../benchmark.10d_blocked_columnmajor.js | 133 ++++++++++++++++++ .../benchmark.10d_blocked_rowmajor.js | 133 ++++++++++++++++++ .../benchmark/benchmark.10d_columnmajor.js | 133 ++++++++++++++++++ .../any/benchmark/benchmark.10d_rowmajor.js | 133 ++++++++++++++++++ .../benchmark/benchmark.11d_columnmajor.js | 133 ++++++++++++++++++ .../any/benchmark/benchmark.11d_rowmajor.js | 133 ++++++++++++++++++ .../benchmark.4d_blocked_columnmajor.js | 133 ++++++++++++++++++ .../benchmark.4d_blocked_rowmajor.js | 133 ++++++++++++++++++ .../any/benchmark/benchmark.4d_columnmajor.js | 133 ++++++++++++++++++ .../any/benchmark/benchmark.4d_rowmajor.js | 133 ++++++++++++++++++ .../benchmark.5d_blocked_columnmajor.js | 133 ++++++++++++++++++ .../benchmark.5d_blocked_rowmajor.js | 133 ++++++++++++++++++ .../any/benchmark/benchmark.5d_columnmajor.js | 133 ++++++++++++++++++ .../any/benchmark/benchmark.5d_rowmajor.js | 133 ++++++++++++++++++ .../benchmark.6d_blocked_columnmajor.js | 133 ++++++++++++++++++ .../benchmark.6d_blocked_rowmajor.js | 133 ++++++++++++++++++ .../any/benchmark/benchmark.6d_columnmajor.js | 133 ++++++++++++++++++ .../any/benchmark/benchmark.6d_rowmajor.js | 133 ++++++++++++++++++ .../benchmark.7d_blocked_columnmajor.js | 133 ++++++++++++++++++ .../benchmark.7d_blocked_rowmajor.js | 133 ++++++++++++++++++ .../any/benchmark/benchmark.7d_columnmajor.js | 133 ++++++++++++++++++ .../any/benchmark/benchmark.7d_rowmajor.js | 133 ++++++++++++++++++ .../benchmark.8d_blocked_columnmajor.js | 133 ++++++++++++++++++ .../benchmark.8d_blocked_rowmajor.js | 133 ++++++++++++++++++ .../any/benchmark/benchmark.8d_columnmajor.js | 133 ++++++++++++++++++ .../any/benchmark/benchmark.8d_rowmajor.js | 133 ++++++++++++++++++ .../benchmark.9d_blocked_columnmajor.js | 133 ++++++++++++++++++ .../benchmark.9d_blocked_rowmajor.js | 133 ++++++++++++++++++ .../any/benchmark/benchmark.9d_columnmajor.js | 133 ++++++++++++++++++ .../any/benchmark/benchmark.9d_rowmajor.js | 133 ++++++++++++++++++ 30 files changed, 3990 insertions(+) create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.10d_blocked_columnmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.10d_blocked_rowmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.10d_columnmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.10d_rowmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.11d_columnmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.11d_rowmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.4d_blocked_columnmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.4d_blocked_rowmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.4d_columnmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.4d_rowmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.5d_blocked_columnmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.5d_blocked_rowmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.5d_columnmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.5d_rowmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.6d_blocked_columnmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.6d_blocked_rowmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.6d_columnmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.6d_rowmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.7d_blocked_columnmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.7d_blocked_rowmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.7d_columnmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.7d_rowmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.8d_blocked_columnmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.8d_blocked_rowmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.8d_columnmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.8d_rowmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.9d_blocked_columnmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.9d_blocked_rowmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.9d_columnmajor.js create mode 100644 lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.9d_rowmajor.js diff --git a/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.10d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.10d_blocked_columnmajor.js new file mode 100644 index 000000000000..6520dcb48c0f --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.10d_blocked_columnmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/10d_blocked.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'column-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1, 1, 1, 1, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 1, 1, 1, 1, 1, 1, 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( pow( len, 1.0/10.0 ) ); + sh = [ len, len, len, len, len, len, len, len, len, len ]; + len *= pow( len, 9 ); + 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/benchmark/benchmark.10d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.10d_blocked_rowmajor.js new file mode 100644 index 000000000000..ea88c991d53e --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.10d_blocked_rowmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/10d_blocked.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'row-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1, 1, 1, 1, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 1, 1, 1, 1, 1, 1, 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( pow( len, 1.0/10.0 ) ); + sh = [ len, len, len, len, len, len, len, len, len, len ]; + len *= pow( len, 9 ); + 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/benchmark/benchmark.10d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.10d_columnmajor.js new file mode 100644 index 000000000000..a594439008bb --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.10d_columnmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/10d.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'column-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1, 1, 1, 1, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 1, 1, 1, 1, 1, 1, 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( pow( len, 1.0/10.0 ) ); + sh = [ len, len, len, len, len, len, len, len, len, len ]; + len *= pow( len, 9 ); + 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/benchmark/benchmark.10d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.10d_rowmajor.js new file mode 100644 index 000000000000..ef2cb5bc9edc --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.10d_rowmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/10d.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'row-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1, 1, 1, 1, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 1, 1, 1, 1, 1, 1, 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( pow( len, 1.0/10.0 ) ); + sh = [ len, len, len, len, len, len, len, len, len, len ]; + len *= pow( len, 9 ); + 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/benchmark/benchmark.11d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.11d_columnmajor.js new file mode 100644 index 000000000000..620023535c54 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.11d_columnmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/nd.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'column-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1, 1, 1, 1, 1, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 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( pow( len, 1.0/11.0 ) ); + sh = [ len, len, len, len, len, len, len, len, len, len, len ]; + len *= pow( len, 10 ); + 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/benchmark/benchmark.11d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.11d_rowmajor.js new file mode 100644 index 000000000000..e53ee2e9e9a2 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.11d_rowmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/nd.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'row-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1, 1, 1, 1, 1, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 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( pow( len, 1.0/11.0 ) ); + sh = [ len, len, len, len, len, len, len, len, len, len, len ]; + len *= pow( len, 10 ); + 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/benchmark/benchmark.4d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.4d_blocked_columnmajor.js new file mode 100644 index 000000000000..9f7eb247a0e0 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.4d_blocked_columnmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/4d_blocked.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'column-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 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( pow( len, 1.0/4.0 ) ); + sh = [ len, len, 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/benchmark/benchmark.4d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.4d_blocked_rowmajor.js new file mode 100644 index 000000000000..770547927e81 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.4d_blocked_rowmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/4d_blocked.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'row-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 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( pow( len, 1.0/4.0 ) ); + sh = [ len, len, 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/benchmark/benchmark.4d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.4d_columnmajor.js new file mode 100644 index 000000000000..d160d660ee37 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.4d_columnmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/4d.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'column-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 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( pow( len, 1.0/4.0 ) ); + sh = [ len, len, 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/benchmark/benchmark.4d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.4d_rowmajor.js new file mode 100644 index 000000000000..fe7557081acc --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.4d_rowmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/4d.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'row-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 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( pow( len, 1.0/4.0 ) ); + sh = [ len, len, 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/benchmark/benchmark.5d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.5d_blocked_columnmajor.js new file mode 100644 index 000000000000..e31a10c16126 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.5d_blocked_columnmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/5d_blocked.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'column-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 1, 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( pow( len, 1.0/5.0 ) ); + sh = [ len, len, len, len, len ]; + len *= pow( len, 4 ); + 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/benchmark/benchmark.5d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.5d_blocked_rowmajor.js new file mode 100644 index 000000000000..b159dcb0af68 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.5d_blocked_rowmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/5d_blocked.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'row-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 1, 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( pow( len, 1.0/5.0 ) ); + sh = [ len, len, len, len, len ]; + len *= pow( len, 4 ); + 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/benchmark/benchmark.5d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.5d_columnmajor.js new file mode 100644 index 000000000000..3aeed7e6e5dd --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.5d_columnmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/5d.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'column-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 1, 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( pow( len, 1.0/5.0 ) ); + sh = [ len, len, len, len, len ]; + len *= pow( len, 4 ); + 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/benchmark/benchmark.5d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.5d_rowmajor.js new file mode 100644 index 000000000000..5804b071bd8a --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.5d_rowmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/5d.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'row-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 1, 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( pow( len, 1.0/5.0 ) ); + sh = [ len, len, len, len, len ]; + len *= pow( len, 4 ); + 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/benchmark/benchmark.6d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.6d_blocked_columnmajor.js new file mode 100644 index 000000000000..826f82337fb4 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.6d_blocked_columnmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/6d_blocked.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'column-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 1, 1, 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( pow( len, 1.0/6.0 ) ); + sh = [ len, len, len, len, len, len ]; + len *= pow( len, 5 ); + 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/benchmark/benchmark.6d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.6d_blocked_rowmajor.js new file mode 100644 index 000000000000..26b207901d63 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.6d_blocked_rowmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/6d_blocked.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'row-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 1, 1, 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( pow( len, 1.0/6.0 ) ); + sh = [ len, len, len, len, len, len ]; + len *= pow( len, 5 ); + 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/benchmark/benchmark.6d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.6d_columnmajor.js new file mode 100644 index 000000000000..121a9333dd16 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.6d_columnmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/6d.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'column-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 1, 1, 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( pow( len, 1.0/6.0 ) ); + sh = [ len, len, len, len, len, len ]; + len *= pow( len, 5 ); + 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/benchmark/benchmark.6d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.6d_rowmajor.js new file mode 100644 index 000000000000..a0277e206a85 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.6d_rowmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/6d.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'row-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 1, 1, 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( pow( len, 1.0/6.0 ) ); + sh = [ len, len, len, len, len, len ]; + len *= pow( len, 5 ); + 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/benchmark/benchmark.7d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.7d_blocked_columnmajor.js new file mode 100644 index 000000000000..b1486a65f8eb --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.7d_blocked_columnmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/7d_blocked.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'column-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 1, 1, 1, 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( pow( len, 1.0/7.0 ) ); + sh = [ len, len, len, len, len, len, len ]; + len *= pow( len, 6 ); + 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/benchmark/benchmark.7d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.7d_blocked_rowmajor.js new file mode 100644 index 000000000000..c1180e3daec2 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.7d_blocked_rowmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/7d_blocked.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'row-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 1, 1, 1, 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( pow( len, 1.0/7.0 ) ); + sh = [ len, len, len, len, len, len, len ]; + len *= pow( len, 6 ); + 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/benchmark/benchmark.7d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.7d_columnmajor.js new file mode 100644 index 000000000000..06b3070593cc --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.7d_columnmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/7d.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'column-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 1, 1, 1, 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( pow( len, 1.0/7.0 ) ); + sh = [ len, len, len, len, len, len, len ]; + len *= pow( len, 6 ); + 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/benchmark/benchmark.7d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.7d_rowmajor.js new file mode 100644 index 000000000000..2b56850421c3 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.7d_rowmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/7d.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'row-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 1, 1, 1, 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( pow( len, 1.0/7.0 ) ); + sh = [ len, len, len, len, len, len, len ]; + len *= pow( len, 6 ); + 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/benchmark/benchmark.8d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.8d_blocked_columnmajor.js new file mode 100644 index 000000000000..b23cccbea3fa --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.8d_blocked_columnmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/8d_blocked.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'row-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1, 1, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 1, 1, 1, 1, 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( pow( len, 1.0/8.0 ) ); + sh = [ len, len, len, len, len, len, len, len ]; + len *= pow( len, 7 ); + 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/benchmark/benchmark.8d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.8d_blocked_rowmajor.js new file mode 100644 index 000000000000..b23cccbea3fa --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.8d_blocked_rowmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/8d_blocked.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'row-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1, 1, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 1, 1, 1, 1, 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( pow( len, 1.0/8.0 ) ); + sh = [ len, len, len, len, len, len, len, len ]; + len *= pow( len, 7 ); + 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/benchmark/benchmark.8d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.8d_columnmajor.js new file mode 100644 index 000000000000..ac41426b32c4 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.8d_columnmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/8d.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'column-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1, 1, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 1, 1, 1, 1, 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( pow( len, 1.0/8.0 ) ); + sh = [ len, len, len, len, len, len, len, len ]; + len *= pow( len, 7 ); + 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/benchmark/benchmark.8d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.8d_rowmajor.js new file mode 100644 index 000000000000..654790885ba9 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.8d_rowmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/8d.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'row-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1, 1, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 1, 1, 1, 1, 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( pow( len, 1.0/8.0 ) ); + sh = [ len, len, len, len, len, len, len, len ]; + len *= pow( len, 7 ); + 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/benchmark/benchmark.9d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.9d_blocked_columnmajor.js new file mode 100644 index 000000000000..d2eb70a3a9ed --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.9d_blocked_columnmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/9d_blocked.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'column-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1, 1, 1, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 1, 1, 1, 1, 1, 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( pow( len, 1.0/9.0 ) ); + sh = [ len, len, len, len, len, len, len, len, len ]; + len *= pow( len, 8 ); + 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/benchmark/benchmark.9d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.9d_blocked_rowmajor.js new file mode 100644 index 000000000000..d42c3c05c551 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.9d_blocked_rowmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/9d_blocked.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'row-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1, 1, 1, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 1, 1, 1, 1, 1, 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( pow( len, 1.0/9.0 ) ); + sh = [ len, len, len, len, len, len, len, len, len ]; + len *= pow( len, 8 ); + 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/benchmark/benchmark.9d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.9d_columnmajor.js new file mode 100644 index 000000000000..b9021e497d81 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.9d_columnmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/9d.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'column-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1, 1, 1, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 1, 1, 1, 1, 1, 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( pow( len, 1.0/9.0 ) ); + sh = [ len, len, len, len, len, len, len, len, len ]; + len *= pow( len, 8 ); + 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/benchmark/benchmark.9d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.9d_rowmajor.js new file mode 100644 index 000000000000..ef7438fc8b14 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.9d_rowmajor.js @@ -0,0 +1,133 @@ +/** +* @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 floor = require( '@stdlib/math/base/special/floor' ); +var zeros = require( '@stdlib/array/zeros' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var any = require( './../lib/9d.js' ); + + +// VARIABLES // + +var types = [ 'float64' ]; +var order = 'row-major'; + + +// FUNCTIONS // + +/** +* 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 = zeros( len, xtype ); + 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 = any( x ); + 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, 1, 1, 1, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + + sh = [ 1, 1, 1, 1, 1, 1, 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( pow( len, 1.0/9.0 ) ); + sh = [ len, len, len, len, len, len, len, len, len ]; + len *= pow( len, 8 ); + f = createBenchmark( len, sh, t1 ); + bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + } + } +} + +main();