diff --git a/lib/node_modules/@stdlib/ndarray/base/fill/README.md b/lib/node_modules/@stdlib/ndarray/base/fill/README.md new file mode 100644 index 000000000000..ca0562a73ec0 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/README.md @@ -0,0 +1,152 @@ + + +# fill + +> Fill an input ndarray with a specified value. + +
+ +
+ + + +
+ +## Usage + +```javascript +var fill = require( '@stdlib/ndarray/base/fill' ); +``` + +#### fill( x, value ) + +Fills an input ndarray with a specified value. + + + +```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 ] ); + +// Define the shape of the input array: +var shape = [ 3, 1, 2 ]; + +// Define the array strides: +var sx = [ 2, 2, 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' +}; + +fill( x, 10.0 ); + +console.log( x.data ); +// => [ 10.0, 10.0, 10.0, 10.0, 10.0, 10.0 ] +``` + +The function accepts the following arguments: + +- **x**: array-like object containing an input ndarray. +- **value**: scalar value. + +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). + +
+ + + +
+ +## Notes + +- If `value` is a number and `x` has a complex [data type][@stdlib/ndarray/dtypes], the function fills an input ndarray with a complex number whose real component equals the provided scalar `value` and whose imaginary component is zero. +- The function **mutates** the input ndarray. + +
+ + + +
+ +## Examples + + + +```javascript +var discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var ndarray2array = require( '@stdlib/ndarray/base/to-array' ); +var fill = require( '@stdlib/ndarray/base/fill' ); + +var x = { + 'dtype': 'generic', + 'data': filledarrayBy( 10, 'generic', discreteUniform( -100, 100 ) ), + 'shape': [ 5, 2 ], + 'strides': [ 2, 1 ], + 'offset': 0, + 'order': 'row-major' +}; + +fill( x, 10.0 ); +console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) ); +``` + +
+ + + + + +
+ +
+ + + +
+ +[@stdlib/ndarray/dtypes]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/dtypes + + + + + +
+ + diff --git a/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.10d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.10d_columnmajor.js new file mode 100644 index 000000000000..d46a31f6d529 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.10d_columnmajor.js @@ -0,0 +1,133 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = 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 - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var x; + + x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) ); + x = { + 'dtype': xtype, + 'data': x, + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + 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/fill/benchmark/benchmark.10d_columnmajor_accessors.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.10d_columnmajor_accessors.js new file mode 100644 index 000000000000..6fba446d4674 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.10d_columnmajor_accessors.js @@ -0,0 +1,139 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var ctors = require( '@stdlib/array/typed-complex-ctors' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = require( './../lib' ); + + +// VARIABLES // + +var types = [ 'complex64' ]; +var order = 'column-major'; +var abtype = { + 'complex64': 'float32', + 'complex128': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - ndarray length +* @param {NonNegativeIntegerArray} shape - ndarray shape +* @param {string} xtype - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var xbuf; + var x; + + xbuf = filledarrayBy( len*2, abtype[ xtype ], discreteUniform( -100, 100 ) ); // eslint-disable-line max-len + x = { + 'dtype': xtype, + 'data': new ( ctors( xtype ) )( xbuf.buffer ), + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + 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, 1, 1, 1, 1, 1, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::accessors: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+'::accessors: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 *= floor( pow( len, 9 )); + 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/fill/benchmark/benchmark.10d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.10d_rowmajor.js new file mode 100644 index 000000000000..b4efb9485975 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.10d_rowmajor.js @@ -0,0 +1,133 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = 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 - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var x; + + x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) ); + x = { + 'dtype': xtype, + 'data': x, + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + 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/fill/benchmark/benchmark.10d_rowmajor_accessors.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.10d_rowmajor_accessors.js new file mode 100644 index 000000000000..d747a75841c7 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.10d_rowmajor_accessors.js @@ -0,0 +1,139 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var ctors = require( '@stdlib/array/typed-complex-ctors' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = require( './../lib' ); + + +// VARIABLES // + +var types = [ 'complex64' ]; +var order = 'row-major'; +var abtype = { + 'complex64': 'float32', + 'complex128': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - ndarray length +* @param {NonNegativeIntegerArray} shape - ndarray shape +* @param {string} xtype - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var xbuf; + var x; + + xbuf = filledarrayBy( len*2, abtype[ xtype ], discreteUniform( -100, 100 ) ); // eslint-disable-line max-len + x = { + 'dtype': xtype, + 'data': new ( ctors( xtype ) )( xbuf.buffer ), + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + 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, 1, 1, 1, 1, 1, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::accessors: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+'::accessors: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 *= floor( pow( len, 9 )); + 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/fill/benchmark/benchmark.1d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.1d_columnmajor.js new file mode 100644 index 000000000000..65161a231a7d --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.1d_columnmajor.js @@ -0,0 +1,121 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var discreteUniform = require( '@stdlib/random/array/discrete-uniform' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = 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 - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var x; + + x = discreteUniform( len, -100, 100 ); + x = { + 'dtype': xtype, + 'data': x, + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( x.data[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( x.data[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + 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/fill/benchmark/benchmark.1d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.1d_rowmajor.js new file mode 100644 index 000000000000..8fe67f4cd1e0 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.1d_rowmajor.js @@ -0,0 +1,121 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var discreteUniform = require( '@stdlib/random/array/discrete-uniform' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( '@stdlib/ndarray/base/fill/package.json' ).name; +var fill = require( '@stdlib/ndarray/base/fill/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 - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var x; + + x = discreteUniform( len, -100, 100 ); + x = { + 'dtype': xtype, + 'data': x, + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( x.data[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( x.data[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + 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/fill/benchmark/benchmark.2d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.2d_columnmajor.js new file mode 100644 index 000000000000..56c986516262 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.2d_columnmajor.js @@ -0,0 +1,134 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var sqrt = require( '@stdlib/math/base/special/sqrt' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = 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 - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var x; + + x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) ); + x = { + 'dtype': xtype, + 'data': x, + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( x.data[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( x.data[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + 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/fill/benchmark/benchmark.2d_columnmajor_accessors.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.2d_columnmajor_accessors.js new file mode 100644 index 000000000000..abc9522b7b17 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.2d_columnmajor_accessors.js @@ -0,0 +1,140 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var sqrt = require( '@stdlib/math/base/special/sqrt' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var ctors = require( '@stdlib/array/typed-complex-ctors' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = require( './../lib' ); + + +// VARIABLES // + +var types = [ 'complex64' ]; +var order = 'column-major'; +var abtype = { + 'complex64': 'float32', + 'complex128': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - ndarray length +* @param {NonNegativeIntegerArray} shape - ndarray shape +* @param {string} xtype - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var xbuf; + var x; + + xbuf = filledarrayBy( len*2, abtype[ xtype ], discreteUniform( -100, 100 ) ); // eslint-disable-line max-len + x = { + 'dtype': xtype, + 'data': new ( ctors( xtype ) )( xbuf.buffer ), + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + 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/fill/benchmark/benchmark.2d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.2d_rowmajor.js new file mode 100644 index 000000000000..04f569ba9101 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.2d_rowmajor.js @@ -0,0 +1,134 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var sqrt = require( '@stdlib/math/base/special/sqrt' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = 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 - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var x; + + x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) ); + x = { + 'dtype': xtype, + 'data': x, + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( x.data[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( x.data[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + 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/fill/benchmark/benchmark.2d_rowmajor_accessors.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.2d_rowmajor_accessors.js new file mode 100644 index 000000000000..d6beb4f55203 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.2d_rowmajor_accessors.js @@ -0,0 +1,140 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var sqrt = require( '@stdlib/math/base/special/sqrt' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var ctors = require( '@stdlib/array/typed-complex-ctors' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = require( './../lib' ); + + +// VARIABLES // + +var types = [ 'complex64' ]; +var order = 'row-major'; +var abtype = { + 'complex64': 'float32', + 'complex128': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - ndarray length +* @param {NonNegativeIntegerArray} shape - ndarray shape +* @param {string} xtype - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var xbuf; + var x; + + xbuf = filledarrayBy( len*2, abtype[ xtype ], discreteUniform( -100, 100 ) ); // eslint-disable-line max-len + x = { + 'dtype': xtype, + 'data': new ( ctors( xtype ) )( xbuf.buffer ), + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + 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/fill/benchmark/benchmark.3d_colummajor.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.3d_colummajor.js new file mode 100644 index 000000000000..3674e2032ead --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.3d_colummajor.js @@ -0,0 +1,134 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var cbrt = require( '@stdlib/math/base/special/cbrt' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = 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 - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var x; + + x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) ); + x = { + 'dtype': xtype, + 'data': x, + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + 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/fill/benchmark/benchmark.3d_columnmajor_accessors.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.3d_columnmajor_accessors.js new file mode 100644 index 000000000000..d62092d566e3 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.3d_columnmajor_accessors.js @@ -0,0 +1,140 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var cbrt = require( '@stdlib/math/base/special/cbrt' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var ctors = require( '@stdlib/array/typed-complex-ctors' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = require( './../lib' ); + + +// VARIABLES // + +var types = [ 'complex64' ]; +var order = 'column-major'; +var abtype = { + 'complex64': 'float32', + 'complex128': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - ndarray length +* @param {NonNegativeIntegerArray} shape - ndarray shape +* @param {string} xtype - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var xbuf; + var x; + + xbuf = filledarrayBy( len*2, abtype[ xtype ], discreteUniform( -100, 100 ) ); // eslint-disable-line max-len + x = { + 'dtype': xtype, + 'data': new ( ctors( xtype ) )( xbuf.buffer ), + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + 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, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::accessors: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+'::accessors: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+'::accessors:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + } + } +} + +main(); diff --git a/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.3d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.3d_rowmajor.js new file mode 100644 index 000000000000..ce4fc4ec2935 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.3d_rowmajor.js @@ -0,0 +1,134 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var cbrt = require( '@stdlib/math/base/special/cbrt' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = 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 - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var x; + + x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) ); + x = { + 'dtype': xtype, + 'data': x, + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + 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/fill/benchmark/benchmark.3d_rowmajor_accessors.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.3d_rowmajor_accessors.js new file mode 100644 index 000000000000..80a0aeb958ef --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.3d_rowmajor_accessors.js @@ -0,0 +1,140 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var cbrt = require( '@stdlib/math/base/special/cbrt' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var ctors = require( '@stdlib/array/typed-complex-ctors' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = require( './../lib' ); + + +// VARIABLES // + +var types = [ 'complex64' ]; +var order = 'row-major'; +var abtype = { + 'complex64': 'float32', + 'complex128': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - ndarray length +* @param {NonNegativeIntegerArray} shape - ndarray shape +* @param {string} xtype - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var xbuf; + var x; + + xbuf = filledarrayBy( len*2, abtype[ xtype ], discreteUniform( -100, 100 ) ); // eslint-disable-line max-len + x = { + 'dtype': xtype, + 'data': new ( ctors( xtype ) )( xbuf.buffer ), + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + 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, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::accessors: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+'::accessors: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+'::accessors:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + } + } +} + +main(); diff --git a/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.4d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.4d_columnmajor.js new file mode 100644 index 000000000000..1a9d1140b41b --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.4d_columnmajor.js @@ -0,0 +1,133 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = 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 - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var x; + + x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) ); + x = { + 'dtype': xtype, + 'data': x, + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + 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/fill/benchmark/benchmark.4d_columnmajor_accessors.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.4d_columnmajor_accessors.js new file mode 100644 index 000000000000..0300afef5fe5 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.4d_columnmajor_accessors.js @@ -0,0 +1,139 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var ctors = require( '@stdlib/array/typed-complex-ctors' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = require( './../lib' ); + + +// VARIABLES // + +var types = [ 'complex64' ]; +var order = 'column-major'; +var abtype = { + 'complex64': 'float32', + 'complex128': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - ndarray length +* @param {NonNegativeIntegerArray} shape - ndarray shape +* @param {string} xtype - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var xbuf; + var x; + + xbuf = filledarrayBy( len*2, abtype[ xtype ], discreteUniform( -100, 100 ) ); // eslint-disable-line max-len + x = { + 'dtype': xtype, + 'data': new ( ctors( xtype ) )( xbuf.buffer ), + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + 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, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::accessors: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+'::accessors: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+'::accessors:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + } + } +} + +main(); diff --git a/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.4d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.4d_rowmajor.js new file mode 100644 index 000000000000..2cdf78639afb --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.4d_rowmajor.js @@ -0,0 +1,133 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = 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 - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var x; + + x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) ); + x = { + 'dtype': xtype, + 'data': x, + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + 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/fill/benchmark/benchmark.4d_rowmajor_accessors.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.4d_rowmajor_accessors.js new file mode 100644 index 000000000000..d83151d24601 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.4d_rowmajor_accessors.js @@ -0,0 +1,139 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var ctors = require( '@stdlib/array/typed-complex-ctors' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = require( './../lib' ); + + +// VARIABLES // + +var types = [ 'complex64' ]; +var order = 'row-major'; +var abtype = { + 'complex64': 'float32', + 'complex128': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - ndarray length +* @param {NonNegativeIntegerArray} shape - ndarray shape +* @param {string} xtype - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var xbuf; + var x; + + xbuf = filledarrayBy( len*2, abtype[ xtype ], discreteUniform( -100, 100 ) ); // eslint-disable-line max-len + x = { + 'dtype': xtype, + 'data': new ( ctors( xtype ) )( xbuf.buffer ), + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + 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, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::accessors: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+'::accessors: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+'::accessors:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f ); + } + } +} + +main(); diff --git a/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.5d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.5d_columnmajor.js new file mode 100644 index 000000000000..a77e6034bb02 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.5d_columnmajor.js @@ -0,0 +1,133 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( '@stdlib/ndarray/base/fill/package.json' ).name; +var fill = require( '@stdlib/ndarray/base/fill/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 - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var x; + + x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) ); + x = { + 'dtype': xtype, + 'data': x, + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + 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/fill/benchmark/benchmark.5d_columnmajor_accessors.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.5d_columnmajor_accessors.js new file mode 100644 index 000000000000..cd4e40ccbd7e --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.5d_columnmajor_accessors.js @@ -0,0 +1,139 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var ctors = require( '@stdlib/array/typed-complex-ctors' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = require( './../lib' ); + + +// VARIABLES // + +var types = [ 'complex64' ]; +var order = 'column-major'; +var abtype = { + 'complex64': 'float32', + 'complex128': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - ndarray length +* @param {NonNegativeIntegerArray} shape - ndarray shape +* @param {string} xtype - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var xbuf; + var x; + + xbuf = filledarrayBy( len*2, abtype[ xtype ], discreteUniform( -100, 100 ) ); // eslint-disable-line max-len + x = { + 'dtype': xtype, + 'data': new ( ctors( xtype ) )( xbuf.buffer ), + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + 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, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::accessors: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+'::accessors: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 *= floor( pow( len, 4 )); + 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/fill/benchmark/benchmark.5d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.5d_rowmajor.js new file mode 100644 index 000000000000..675d75794a0c --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.5d_rowmajor.js @@ -0,0 +1,133 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = 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 - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var x; + + x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) ); + x = { + 'dtype': xtype, + 'data': x, + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + 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/fill/benchmark/benchmark.5d_rowmajor_accessors.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.5d_rowmajor_accessors.js new file mode 100644 index 000000000000..cb75550907d1 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.5d_rowmajor_accessors.js @@ -0,0 +1,139 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var ctors = require( '@stdlib/array/typed-complex-ctors' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = require( './../lib' ); + + +// VARIABLES // + +var types = [ 'complex64' ]; +var order = 'row-major'; +var abtype = { + 'complex64': 'float32', + 'complex128': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - ndarray length +* @param {NonNegativeIntegerArray} shape - ndarray shape +* @param {string} xtype - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var xbuf; + var x; + + xbuf = filledarrayBy( len*2, abtype[ xtype ], discreteUniform( -100, 100 ) ); // eslint-disable-line max-len + x = { + 'dtype': xtype, + 'data': new ( ctors( xtype ) )( xbuf.buffer ), + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + 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, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::accessors: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+'::accessors: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 *= floor( pow( len, 4 )); + 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/fill/benchmark/benchmark.6d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.6d_columnmajor.js new file mode 100644 index 000000000000..0060fa8f2c52 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.6d_columnmajor.js @@ -0,0 +1,133 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = 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 - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var x; + + x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) ); + x = { + 'dtype': xtype, + 'data': x, + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + 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/fill/benchmark/benchmark.6d_columnmajor_accessors.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.6d_columnmajor_accessors.js new file mode 100644 index 000000000000..2765db63eeaa --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.6d_columnmajor_accessors.js @@ -0,0 +1,139 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var ctors = require( '@stdlib/array/typed-complex-ctors' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = require( './../lib' ); + + +// VARIABLES // + +var types = [ 'complex64' ]; +var order = 'column-major'; +var abtype = { + 'complex64': 'float32', + 'complex128': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - ndarray length +* @param {NonNegativeIntegerArray} shape - ndarray shape +* @param {string} xtype - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var xbuf; + var x; + + xbuf = filledarrayBy( len*2, abtype[ xtype ], discreteUniform( -100, 100 ) ); // eslint-disable-line max-len + x = { + 'dtype': xtype, + 'data': new ( ctors( xtype ) )( xbuf.buffer ), + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + 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, 1, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::accessors: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+'::accessors: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 *= floor( pow( len, 5 )); + 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/fill/benchmark/benchmark.6d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.6d_rowmajor.js new file mode 100644 index 000000000000..1172bcb2012f --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.6d_rowmajor.js @@ -0,0 +1,133 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = 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 - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var x; + + x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) ); + x = { + 'dtype': xtype, + 'data': x, + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + 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/fill/benchmark/benchmark.6d_rowmajor_accessors.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.6d_rowmajor_accessors.js new file mode 100644 index 000000000000..228c5b05147f --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.6d_rowmajor_accessors.js @@ -0,0 +1,139 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var ctors = require( '@stdlib/array/typed-complex-ctors' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = require( './../lib' ); + + +// VARIABLES // + +var types = [ 'complex64' ]; +var order = 'row-major'; +var abtype = { + 'complex64': 'float32', + 'complex128': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - ndarray length +* @param {NonNegativeIntegerArray} shape - ndarray shape +* @param {string} xtype - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var xbuf; + var x; + + xbuf = filledarrayBy( len*2, abtype[ xtype ], discreteUniform( -100, 100 ) ); // eslint-disable-line max-len + x = { + 'dtype': xtype, + 'data': new ( ctors( xtype ) )( xbuf.buffer ), + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + 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, 1, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::accessors: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+'::accessors: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 *= floor( pow( len, 5 )); + 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/fill/benchmark/benchmark.7d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.7d_columnmajor.js new file mode 100644 index 000000000000..e03dd0ad1370 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.7d_columnmajor.js @@ -0,0 +1,133 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = 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 - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var x; + + x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) ); + x = { + 'dtype': xtype, + 'data': x, + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + 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/fill/benchmark/benchmark.7d_columnmajor_accessors.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.7d_columnmajor_accessors.js new file mode 100644 index 000000000000..5ef8a0cc3a17 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.7d_columnmajor_accessors.js @@ -0,0 +1,139 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var ctors = require( '@stdlib/array/typed-complex-ctors' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = require( './../lib' ); + + +// VARIABLES // + +var types = [ 'complex64' ]; +var order = 'column-major'; +var abtype = { + 'complex64': 'float32', + 'complex128': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - ndarray length +* @param {NonNegativeIntegerArray} shape - ndarray shape +* @param {string} xtype - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var xbuf; + var x; + + xbuf = filledarrayBy( len*2, abtype[ xtype ], discreteUniform( -100, 100 ) ); // eslint-disable-line max-len + x = { + 'dtype': xtype, + 'data': new ( ctors( xtype ) )( xbuf.buffer ), + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + 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, 1, 1, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::accessors: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+'::accessors: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 *= floor( pow( len, 6 )); + 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/fill/benchmark/benchmark.7d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.7d_rowmajor.js new file mode 100644 index 000000000000..e0e6dc0a9d29 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.7d_rowmajor.js @@ -0,0 +1,133 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = 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 - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var x; + + x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) ); + x = { + 'dtype': xtype, + 'data': x, + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + 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/fill/benchmark/benchmark.7d_rowmajor_accessors.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.7d_rowmajor_accessors.js new file mode 100644 index 000000000000..e48c4abdddac --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.7d_rowmajor_accessors.js @@ -0,0 +1,139 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var ctors = require( '@stdlib/array/typed-complex-ctors' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = require( './../lib' ); + + +// VARIABLES // + +var types = [ 'complex64' ]; +var order = 'row-major'; +var abtype = { + 'complex64': 'float32', + 'complex128': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - ndarray length +* @param {NonNegativeIntegerArray} shape - ndarray shape +* @param {string} xtype - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var xbuf; + var x; + + xbuf = filledarrayBy( len*2, abtype[ xtype ], discreteUniform( -100, 100 ) ); // eslint-disable-line max-len + x = { + 'dtype': xtype, + 'data': new ( ctors( xtype ) )( xbuf.buffer ), + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + 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, 1, 1, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::accessors: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+'::accessors: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 *= floor( pow( len, 6 )); + 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/fill/benchmark/benchmark.8d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.8d_columnmajor.js new file mode 100644 index 000000000000..dd680a03f17f --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.8d_columnmajor.js @@ -0,0 +1,133 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = 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 - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var x; + + x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) ); + x = { + 'dtype': xtype, + 'data': x, + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + 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/fill/benchmark/benchmark.8d_columnmajor_accessors.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.8d_columnmajor_accessors.js new file mode 100644 index 000000000000..05ec58361cf9 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.8d_columnmajor_accessors.js @@ -0,0 +1,139 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var ctors = require( '@stdlib/array/typed-complex-ctors' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = require( './../lib' ); + + +// VARIABLES // + +var types = [ 'complex64' ]; +var order = 'column-major'; +var abtype = { + 'complex64': 'float32', + 'complex128': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - ndarray length +* @param {NonNegativeIntegerArray} shape - ndarray shape +* @param {string} xtype - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var xbuf; + var x; + + xbuf = filledarrayBy( len*2, abtype[ xtype ], discreteUniform( -100, 100 ) ); // eslint-disable-line max-len + x = { + 'dtype': xtype, + 'data': new ( ctors( xtype ) )( xbuf.buffer ), + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + 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, 1, 1, 1, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::accessors: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+'::accessors: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 *= floor( pow( len, 7 )); + 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/fill/benchmark/benchmark.8d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.8d_rowmajor.js new file mode 100644 index 000000000000..37619fec5699 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.8d_rowmajor.js @@ -0,0 +1,133 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = 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 - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var x; + + x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) ); + x = { + 'dtype': xtype, + 'data': x, + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + 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/fill/benchmark/benchmark.8d_rowmajor_accessors.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.8d_rowmajor_accessors.js new file mode 100644 index 000000000000..94e774dfa13f --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.8d_rowmajor_accessors.js @@ -0,0 +1,139 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var ctors = require( '@stdlib/array/typed-complex-ctors' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = require( './../lib' ); + + +// VARIABLES // + +var types = [ 'complex64' ]; +var order = 'row-major'; +var abtype = { + 'complex64': 'float32', + 'complex128': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - ndarray length +* @param {NonNegativeIntegerArray} shape - ndarray shape +* @param {string} xtype - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var xbuf; + var x; + + xbuf = filledarrayBy( len*2, abtype[ xtype ], discreteUniform( -100, 100 ) ); // eslint-disable-line max-len + x = { + 'dtype': xtype, + 'data': new ( ctors( xtype ) )( xbuf.buffer ), + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + 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, 1, 1, 1, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::accessors: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+'::accessors: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 *= floor( pow( len, 7 )); + 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/fill/benchmark/benchmark.9d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.9d_columnmajor.js new file mode 100644 index 000000000000..256a8b2df5be --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.9d_columnmajor.js @@ -0,0 +1,133 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = 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 - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var x; + + x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) ); + x = { + 'dtype': xtype, + 'data': x, + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + 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/fill/benchmark/benchmark.9d_columnmajor_accessors.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.9d_columnmajor_accessors.js new file mode 100644 index 000000000000..2387fd47ac76 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.9d_columnmajor_accessors.js @@ -0,0 +1,139 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var ctors = require( '@stdlib/array/typed-complex-ctors' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = require( './../lib' ); + + +// VARIABLES // + +var types = [ 'complex64' ]; +var order = 'column-major'; +var abtype = { + 'complex64': 'float32', + 'complex128': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - ndarray length +* @param {NonNegativeIntegerArray} shape - ndarray shape +* @param {string} xtype - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var xbuf; + var x; + + xbuf = filledarrayBy( len*2, abtype[ xtype ], discreteUniform( -100, 100 ) ); // eslint-disable-line max-len + x = { + 'dtype': xtype, + 'data': new ( ctors( xtype ) )( xbuf.buffer ), + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + 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, 1, 1, 1, 1, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::accessors: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+'::accessors: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 *= floor( pow( len, 8 )); + 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/fill/benchmark/benchmark.9d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.9d_rowmajor.js new file mode 100644 index 000000000000..abed4a2dddba --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.9d_rowmajor.js @@ -0,0 +1,133 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = 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 - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var x; + + x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) ); + x = { + 'dtype': xtype, + 'data': x, + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( x.data[ i%len ]) ) { + b.fail( 'should not return NaN' ); + } + 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/fill/benchmark/benchmark.9d_rowmajor_accessors.js b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.9d_rowmajor_accessors.js new file mode 100644 index 000000000000..5374e1968b31 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/benchmark/benchmark.9d_rowmajor_accessors.js @@ -0,0 +1,139 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var ctors = require( '@stdlib/array/typed-complex-ctors' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var pkg = require( './../package.json' ).name; +var fill = require( './../lib' ); + + +// VARIABLES // + +var types = [ 'complex64' ]; +var order = 'row-major'; +var abtype = { + 'complex64': 'float32', + 'complex128': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - ndarray length +* @param {NonNegativeIntegerArray} shape - ndarray shape +* @param {string} xtype - input ndarray data type +* @returns {Function} benchmark function +*/ +function createBenchmark( len, shape, xtype ) { + var xbuf; + var x; + + xbuf = filledarrayBy( len*2, abtype[ xtype ], discreteUniform( -100, 100 ) ); // eslint-disable-line max-len + x = { + 'dtype': xtype, + 'data': new ( ctors( xtype ) )( xbuf.buffer ), + 'shape': shape, + 'strides': shape2strides( shape, order ), + 'offset': 0, + 'order': order + }; + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + fill( x, i ); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( xbuf[ i%len ] ) ) { + b.fail( 'should not return NaN' ); + } + 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, 1, 1, 1, 1, 1, 1, 1 ]; + f = createBenchmark( len, sh, t1 ); + bench( pkg+'::accessors: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+'::accessors: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 *= floor( pow( len, 8 )); + 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/fill/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/fill/docs/repl.txt new file mode 100644 index 000000000000..82b9c3eb2291 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/docs/repl.txt @@ -0,0 +1,31 @@ + +{{alias}}( x, value ) + Fills an input ndarray with a specified value. + + If `value` is a number and `x` has a complex data type, the function fills + an input ndarray with a complex number whose real component equals the + provided scalar `value` and whose imaginary component is zero. + + The function *mutates* the input ndarray. + + Parameters + ---------- + x: ndarrayLike + Input ndarray-like object. + + value: any + Scalar value. + + Examples + -------- + > var opts = { 'dtype': 'float64' }; + > var x = {{alias:@stdlib/ndarray/zeros}}( [ 2, 2 ], opts ); + > x.get( 0, 0 ) + 0.0 + > {{alias}}( x, 10.0 ); + > x.get( 0, 0 ) + 10.0 + + See Also + -------- + diff --git a/lib/node_modules/@stdlib/ndarray/base/fill/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/base/fill/docs/types/index.d.ts new file mode 100644 index 000000000000..4da36d83feb9 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/docs/types/index.d.ts @@ -0,0 +1,109 @@ +/* +* @license Apache-2.0 +* +* Copyright (c) 2024 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 { typedndarray, complexndarray } from '@stdlib/types/ndarray'; +import { ComplexLike } from '@stdlib/types/complex'; + +/** +* Fills an input ndarray with a specified value. +* +* ## Notes +* +* - If `value` is a number, the function fills an input ndarray with a complex number whose real component equals the provided scalar value and whose imaginary component is zero. +* +* @param x - input ndarray +* @param value - scalar value +* +* @example +* var Complex128Array = require( '@stdlib/array/complex128' ); +* +* // Create a data buffer: +* var xbuf = new Complex128Array( [ 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 = [ 2, 2, 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' +* }; +* +* fill( x, 10.0 ); +* +* console.log( x.data ); +* // => [ 10.0, 0.0, 10.0, 0.0, 10.0, 0.0, 10.0, 0.0, 10.0, 0.0, 10.0, 0.0 ] +*/ +declare function fill( x: complexndarray, value: number | ComplexLike ): void; + +/** +* Fills an input ndarray with a specified value. +* +* @param x - input ndarray +* @param value - scalar value +* +* @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 ] ); +* +* // Define the shape of the input array: +* var shape = [ 3, 1, 2 ]; +* +* // Define the array strides: +* var sx = [ 2, 2, 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' +* }; +* +* fill( x, 10.0 ); +* +* console.log( x.data ); +* // => [ 10.0, 10.0, 10.0, 10.0, 10.0, 10.0 ] +*/ +declare function fill( x: typedndarray, value: T ): void; + + +// EXPORTS // + +export = fill; diff --git a/lib/node_modules/@stdlib/ndarray/base/fill/docs/types/test.ts b/lib/node_modules/@stdlib/ndarray/base/fill/docs/types/test.ts new file mode 100644 index 000000000000..0024e73a5f6c --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/docs/types/test.ts @@ -0,0 +1,54 @@ +/* +* @license Apache-2.0 +* +* Copyright (c) 2024 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/base/zeros' ); +import fill = require( './index' ); + + +// TESTS // + +// The function returns `undefined`... +{ + fill( zeros( 'float64', [ 2, 2 ], 'row-major' ), 10.0 ); // $ExpectType void + fill( zeros( 'complex128', [ 2, 2 ], 'row-major' ), 10.0 ); // $ExpectType void + fill( zeros( 'complex128', [ 2, 2 ], 'row-major' ), { 're': 10.0, 'im': 10.0 } ); // $ExpectType void + + fill( zeros( 'generic', [ 2, 2 ], 'row-major' ), 10.0 ); // $ExpectType void + fill( zeros( 'generic', [ 2, 2 ], 'row-major' ), 'beep' ); // $ExpectType void +} + +// The compiler throws an error if the function is provided a first argument which is not an ndarray-like object... +{ + fill( '5', 10.0 ); // $ExpectError + fill( 5, 10.0 ); // $ExpectError + fill( true, 10.0 ); // $ExpectError + fill( false, 10.0 ); // $ExpectError + fill( null, 10.0 ); // $ExpectError + fill( undefined, 10.0 ); // $ExpectError + fill( {}, 10.0 ); // $ExpectError + fill( [ 1 ], 10.0 ); // $ExpectError + fill( ( x: number ): number => x, 10.0 ); // $ExpectError +} + +// The compiler throws an error if the function is provided an unsupported number of arguments... +{ + const x = zeros( 'float64', [ 2, 2 ], 'row-major' ); + + fill(); // $ExpectError + fill( x, 10.0, {} ); // $ExpectError +} diff --git a/lib/node_modules/@stdlib/ndarray/base/fill/examples/index.js b/lib/node_modules/@stdlib/ndarray/base/fill/examples/index.js new file mode 100644 index 000000000000..43266cd8e692 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/examples/index.js @@ -0,0 +1,36 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +var discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var ndarray2array = require( '@stdlib/ndarray/base/to-array' ); +var fill = require( './../lib' ); + +var x = { + 'dtype': 'generic', + 'data': filledarrayBy( 10, 'generic', discreteUniform( -100, 100 ) ), + 'shape': [ 5, 2 ], + 'strides': [ 2, 1 ], + 'offset': 0, + 'order': 'row-major' +}; + +fill( x, 10.0 ); +console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) ); diff --git a/lib/node_modules/@stdlib/ndarray/base/fill/lib/index.js b/lib/node_modules/@stdlib/ndarray/base/fill/lib/index.js new file mode 100644 index 000000000000..a00596c18434 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/lib/index.js @@ -0,0 +1,65 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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'; + +/** +* Fill an input ndarray with a specified value. +* +* @module @stdlib/ndarray/base/fill +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* var fill = require( '@stdlib/ndarray/base/fill' ); +* +* // Create a data buffer: +* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); +* +* // Define the shape of the input array: +* var shape = [ 3, 1, 2 ]; +* +* // Define the array strides: +* var sx = [ 2, 2, 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' +* }; +* +* fill( x, 10.0 ); +* +* console.log( x.data ); +* // => [ 10.0, 10.0, 10.0, 10.0, 10.0, 10.0 ] +*/ + +// MODULES // + +var main = require( './main.js' ); + + +// EXPORTS // + +module.exports = main; diff --git a/lib/node_modules/@stdlib/ndarray/base/fill/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/fill/lib/main.js new file mode 100644 index 000000000000..4d69dc5591eb --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/lib/main.js @@ -0,0 +1,88 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 broadcastScalar = require( '@stdlib/ndarray/base/broadcast-scalar' ); +var getDtype = require( '@stdlib/ndarray/base/dtype' ); +var getShape = require( '@stdlib/ndarray/base/shape' ); +var getOrder = require( '@stdlib/ndarray/base/order' ); +var assign = require( '@stdlib/ndarray/base/assign' ); + + +// MAIN // + +/** +* Fills an input ndarray with a specified value. +* +* @param {ndarrayLike} x - ndarray-like object +* @param {string} x.dtype - data type +* @param {Collection} x.data - data buffer +* @param {NonNegativeIntegerArray} x.shape - dimensions +* @param {IntegerArray} x.strides - stride lengths +* @param {NonNegativeInteger} x.offset - index offset +* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style) +* @param {*} value - scalar value +* @returns {void} +* +* @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 ] ); +* +* // Define the shape of the input array: +* var shape = [ 3, 1, 2 ]; +* +* // Define the array strides: +* var sx = [ 2, 2, 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' +* }; +* +* fill( x, 10.0 ); +* +* console.log( x.data ); +* // => [ 10.0, 10.0, 10.0, 10.0, 10.0, 10.0 ] +*/ +function fill( x, value ) { + var v; + + // Broadcast the fill value to an ndarray of same shape and data type as the input ndarray: + v = broadcastScalar( value, getDtype( x ), getShape( x ), getOrder( x ) ); + + // Assign the fill value to each element of the input ndarray: + assign( [ v, x ] ); +} + + +// EXPORTS // + +module.exports = fill; diff --git a/lib/node_modules/@stdlib/ndarray/base/fill/package.json b/lib/node_modules/@stdlib/ndarray/base/fill/package.json new file mode 100644 index 000000000000..9905d452b718 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/package.json @@ -0,0 +1,66 @@ +{ + "name": "@stdlib/ndarray/base/fill", + "version": "0.0.0", + "description": "Fill an input ndarray with a specified value.", + "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", + "fill", + "map", + "apply", + "unary", + "foreach", + "transform", + "for-each" + ], + "__stdlib__": {} +} diff --git a/lib/node_modules/@stdlib/ndarray/base/fill/test/test.js b/lib/node_modules/@stdlib/ndarray/base/fill/test/test.js new file mode 100644 index 000000000000..9ce7b91812b7 --- /dev/null +++ b/lib/node_modules/@stdlib/ndarray/base/fill/test/test.js @@ -0,0 +1,430 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 isSameComplex128Array = require( '@stdlib/assert/is-same-complex128array' ); +var isSameFloat64Array = require( '@stdlib/assert/is-same-float64array' ); +var Complex128Array = require( '@stdlib/array/complex128' ); +var Float64Array = require( '@stdlib/array/float64' ); +var Complex128 = require( '@stdlib/complex/float64/ctor' ); +var zeros = require( '@stdlib/array/zeros' ); +var ndarray = require( '@stdlib/ndarray/ctor' ); +var shape2strides = require( '@stdlib/ndarray/base/shape2strides' ); +var strides2offset = require( '@stdlib/ndarray/base/strides2offset' ); +var numel = require( '@stdlib/ndarray/base/numel' ); +var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); +var fill = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof fill, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function fills a 0-dimensional input ndarray with a specified value', function test( t ) { + var expected; + var x; + + x = scalar2ndarray( 0.0, { + 'dtype': 'float64' + }); + + fill( x, 10.0 ); + + expected = new Float64Array( [ 10.0 ] ); + t.strictEqual( isSameFloat64Array( x.data, expected ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function fills a 0-dimensional input ndarray with a specified value (accessors)', function test( t ) { + var expected; + var x; + + x = scalar2ndarray( new Complex128( 0.0, 0.0 ), { + 'dtype': 'complex128' + }); + + fill( x, 10.0 ); + + expected = new Complex128Array( [ 10.0, 0.0 ] ); + t.strictEqual( isSameComplex128Array( x.data, expected ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function fills an input ndarray with a specified value (row-major, contiguous)', function test( t ) { + var expected; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 3, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + fill( x, 10.0 ); + + expected = new Float64Array([ + 10.0, + 10.0, + 10.0, + 10.0, + 10.0, + 10.0 + ]); + + t.strictEqual( isSameFloat64Array( x.data, expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function fills an input ndarray with a specified value (row-major, contiguous, accessors)', function test( t ) { + var expected; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 3, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + fill( x, 10.0 ); + + expected = new Complex128Array([ + 10.0, + 0.0, + 10.0, + 0.0, + 10.0, + 0.0, + 10.0, + 0.0, + 10.0, + 0.0, + 10.0, + 0.0 + ]); + + t.strictEqual( isSameComplex128Array( x.data, expected ), true, 'returns expected value' ); + + fill( x, new Complex128( -10.0, -20.0 ) ); + + expected = new Complex128Array([ + -10.0, + -20.0, + -10.0, + -20.0, + -10.0, + -20.0, + -10.0, + -20.0, + -10.0, + -20.0, + -10.0, + -20.0 + ]); + + t.strictEqual( isSameComplex128Array( x.data, expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function fills an input ndarray with a specified value (column-major, contiguous)', function test( t ) { + var expected; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 3, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + fill( x, 10.0 ); + + expected = new Float64Array([ + 10.0, + 10.0, + 10.0, + 10.0, + 10.0, + 10.0 + ]); + + t.strictEqual( isSameFloat64Array( x.data, expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function fills an input ndarray with a specified value (column-major, contiguous, accessors)', function test( t ) { + var expected; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 3, 1, 2 ]; + st = shape2strides( sh, ord ); + o = strides2offset( sh, st ); + + x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord ); + + fill( x, 10.0 ); + + expected = new Complex128Array([ + 10.0, + 0.0, + 10.0, + 0.0, + 10.0, + 0.0, + 10.0, + 0.0, + 10.0, + 0.0, + 10.0, + 0.0 + ]); + + t.strictEqual( isSameComplex128Array( x.data, expected ), true, 'returns expected value' ); + + fill( x, new Complex128( -10.0, -20.0 ) ); + + expected = new Complex128Array([ + -10.0, + -20.0, + -10.0, + -20.0, + -10.0, + -20.0, + -10.0, + -20.0, + -10.0, + -20.0, + -10.0, + -20.0 + ]); + + t.strictEqual( isSameComplex128Array( x.data, expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function fills an input ndarray with a specified value (row-major, non-contiguous)', function test( t ) { + var expected; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'row-major'; + sh = [ 3, 1, 2 ]; + st = [ 4, 4, 1 ]; + o = 1; + + x = ndarray( dt, zeros( 12, dt ), sh, st, o, ord ); + + fill( x, 10.0 ); + + expected = new Float64Array([ + 0.0, + 10.0, + 10.0, + 0.0, + 0.0, + 10.0, + 10.0, + 0.0, + 0.0, + 10.0, + 10.0, + 0.0 + ]); + + t.strictEqual( isSameFloat64Array( x.data, expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function fills an input ndarray with a specified value (row-major, non-contiguous, accessors)', function test( t ) { + var expected; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'row-major'; + sh = [ 3, 1, 2 ]; + st = [ 4, 4, 1 ]; + o = 1; + + x = ndarray( dt, zeros( 12, dt ), sh, st, o, ord ); + + fill( x, 10.0 ); + + expected = new Complex128Array([ + 0.0, + 0.0, + 10.0, + 0.0, + 10.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 10.0, + 0.0, + 10.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 10.0, + 0.0, + 10.0, + 0.0, + 0.0, + 0.0 + ]); + + t.strictEqual( isSameComplex128Array( x.data, expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function fills an input ndarray with a specified value (column-major, non-contiguous)', function test( t ) { + var expected; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'float64'; + ord = 'column-major'; + sh = [ 3, 1, 2 ]; + st = [ 1, 6, 6 ]; + o = 1; + + x = ndarray( dt, zeros( 12, dt ), sh, st, o, ord ); + + fill( x, 10.0 ); + + expected = new Float64Array([ + 0.0, + 10.0, + 10.0, + 10.0, + 0.0, + 0.0, + 0.0, + 10.0, + 10.0, + 10.0, + 0.0, + 0.0 + ]); + + t.strictEqual( isSameFloat64Array( x.data, expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function fills an input ndarray with a specified value (row-major, non-contiguous, accessors)', function test( t ) { + var expected; + var ord; + var sh; + var st; + var dt; + var o; + var x; + + dt = 'complex128'; + ord = 'column-major'; + sh = [ 3, 1, 2 ]; + st = [ 1, 6, 6 ]; + o = 1; + + x = ndarray( dt, zeros( 12, dt ), sh, st, o, ord ); + + fill( x, 10.0 ); + + expected = new Complex128Array([ + 0.0, + 0.0, + 10.0, + 0.0, + 10.0, + 0.0, + 10.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0, + 10.0, + 0.0, + 10.0, + 0.0, + 10.0, + 0.0, + 0.0, + 0.0, + 0.0, + 0.0 + ]); + + t.strictEqual( isSameComplex128Array( x.data, expected ), true, 'returns expected value' ); + t.end(); +});